diff --git a/.vscode/excel-pq-symbols/excel-pq-symbols.json b/.vscode/excel-pq-symbols/excel-pq-symbols.json
new file mode 100644
index 000000000..a94b204cc
--- /dev/null
+++ b/.vscode/excel-pq-symbols/excel-pq-symbols.json
@@ -0,0 +1,31 @@
+[
+ {
+ "name": "Excel.CurrentWorkbook",
+ "documentation": {
+ "description": "Returns the contents of the current Excel workbook.",
+ "longDescription": "Returns tables, named ranges, and dynamic arrays. Unlike Excel.Workbook, it does not return sheets.",
+ "category": "Accessing data"
+ },
+ "functionParameters": [],
+ "completionItemKind": 3,
+ "isDataSource": true,
+ "type": "table"
+ },
+ {
+ "name": "Documentation",
+ "documentation": {
+ "description": "Contains properties for function documentation metadata",
+ "category": "Documentation"
+ },
+ "functionParameters": [],
+ "completionItemKind": 9,
+ "isDataSource": false,
+ "type": "record",
+ "fields": {
+ "Name": { "type": "text" },
+ "Description": { "type": "text" },
+ "Parameters": { "type": "record" }
+ }
+ }
+
+]
\ No newline at end of file
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 252022b48..7bff8c4e3 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -122,5 +122,16 @@
"source.fixAll.ruff": "explicit",
"source.organizeImports.ruff": "explicit"
}
- }
+ },
+ "cSpell.words": [
+ "Altayeb",
+ "comtrade",
+ "Ermishina",
+ "figsize",
+ "Mariia",
+ "Saeed"
+ ],
+ "powerquery.client.additionalSymbolsDirectories": [
+ "c:/Users/Lenovo/AHD MIT/ET6-CDSP-group-08-repo-4/.vscode/excel-pq-symbols"
+ ]
}
diff --git a/0_domain_study/README.md b/0_domain_study/README.md
index 308b71113..42ccaaa74 100644
--- a/0_domain_study/README.md
+++ b/0_domain_study/README.md
@@ -1 +1,140 @@
# Domain Research
+
+## Background Review
+
+
+
+### The Role of Solar Energy in Humanitarian and Conflict-Affected Contexts
+
+### 1. Introduction
+
+Solar energy plays a key role in ensuring sustainable and equitable energy
+access, particularly in regions affected by armed conflict, displacement, and
+infrastructure destruction. Its decentralized nature, affordability, and rapid
+deployability make it a powerful tool for humanitarian response and recovery
+efforts.
+
+### 2. Energy Poverty and Conflict Impact
+
+As of 2024, over 130 million people were forcibly displaced due to war,
+persecution, or disaster, including 33 million refugees and 63 million
+internally displaced persons (IDPs) ([UNHCR,
+2024](https://reporting.unhcr.org/global-appeal-2024-6383)). Access to food,
+shelter, healthcare, and water are immediate needs—but all are energy-dependent.
+Clean energy access is essential in both emergency and protracted displacement
+settings for cooking, lighting, medical services, education, and safety.
+
+- 80% of displaced people still rely on firewood or biomass for cooking ([WHO,
+ 2023](https://energypedia.info/wiki/Energy_Access_in_Displacement_Settings),
+ exposing women and girls to safety risks and indoor
+ air pollution.
+
+- Nearly 90% of refugee settlements lack reliable electricity access ([GPA,
+ 2022](https://www.humanitarianenergy.org/assets/resources/SOHES.pdf)).
+
+- Energy poverty worsens gender inequalities, increases environmental
+ degradation, and limits livelihood and learning opportunities.
+
+### 3. Solar Energy in Conflict and Post-Conflict Zones
+
+Renewable energy, especially solar, has proven to be vital in fragile and war-
+torn settings. Solar technologies can be rapidly deployed and maintained
+locally, offering resilient energy for critical infrastructure:
+
+- Mobile clinics and field hospitals powered by solar improve health outcomes in
+ areas where traditional grids are non-functional.
+
+- Solar lighting enhances safety in refugee camps and post-conflict rural areas,
+ especially for women and children.
+
+- Access to energy supports small-scale recovery efforts, such as water pumping,
+ digital communication, and refrigeration of medicines.
+
+While there are fewer large-scale examples due to the security risks in active
+warzones, organizations such as UNHCR and the ICRC have implemented solar
+microgrids and standalone solar systems in conflict-affected regions like South
+Sudan, Syria, and parts of Ukraine.
+
+### 4. Renewable Energy as a Pathway to Peace and Resilience
+
+According to [CYIS, 2024](https://cyis.org), integrating solar energy into
+humanitarian and peacebuilding strategies can:
+
+- Promote cooperation and reduce tension over scarce resources;
+
+- Foster community resilience by enabling shared energy management;
+
+- Reduce dependency on diesel fuel, which is costly and dangerous to transport
+ in war zones.
+
+Access to solar energy can be perceived as a neutral, community-owned resource
+that enables stability and recovery while fostering social cohesion.
+
+### 5. Global Trends in Renewable Energy (Statistical Review of World Energy 2024)
+
+- In 2023, solar energy accounted for 346 GW of newly installed capacity—75% of
+ all new renewable energy.
+
+- China, Europe, and the United States led solar deployment.
+
+- Still, fossil fuels represented 81.5% of global primary energy consumption.
+
+- Over 750 million people worldwide lack electricity access, with conflict zones
+ disproportionately represented.
+
+Source: [Energy Institute Statistical Review
+2024](https://www.energyinst.org/statistical-review)
+
+### 6. Insights from Our World in Data
+
+- Solar power accounts for around 5% of total electricity production globally,
+ growing faster than any other source.
+
+- Solar generation costs have dropped by 89% since 2010.
+
+- Energy inequality remains stark: per capita energy use in developing nations
+ is six times lower than in North America.
+
+Source: [Our World in Data — Renewable
+Energy](https://ourworldindata.org/renewable-energy)
+
+### 7. Conclusion
+
+Solar energy is more than a technical solution—it is a humanitarian and
+peacebuilding tool. In conflict-affected settings where centralized
+infrastructure has collapsed or is unreliable, solar provides an immediate,
+scalable path toward sustainable recovery and resilience.
+
+To be effective, solar solutions must be integrated into broader energy access
+strategies and peacebuilding frameworks. This includes:
+
+- Prioritizing local ownership and maintenance;
+
+- Building market-based models that continue post-aid;
+
+- Aligning with national recovery and climate goals.
+
+In war-affected regions, access to solar energy is not an option—it is a
+necessity for survival, recovery, and long-term peace.
+
+War damages nature badly from pollution, destroyed farmland, poisoned water
+ and air, deforestation, and waste are common results of war.
+These environmental effects hurt both people and ecosystems.
+ It affects food, health, water, and the ability to rebuild communities
+ after the war.
+
+The UN is starting to take this seriously. In 2024, the UN Environment
+Assembly (UNEA‑6) passed a resolution to improve environmental protection in
+conflict zones.
+[Link here](https://www.bic-rhr.com/research/strengthening-environmental-resilience-conflict-zones-analysis-unea-6-resolution-and-perac)
+
+ >Environmental recovery is now a global priority.
+
+- Renewable energy should be part of post-war recovery plans, especially since
+ they’re clean and decentralized.
+- Renewable energy is a safer, more resilient alternative—less centralized,
+ quicker to deploy, and more sustainable in crisis.
+- Could contribute to or align with UNEP’s future frameworks.
+
+ ``` "Planet over Politics" ```
+
diff --git a/0_domain_study/groupprogress.png b/0_domain_study/groupprogress.png
new file mode 100644
index 000000000..470ecefc4
Binary files /dev/null and b/0_domain_study/groupprogress.png differ
diff --git a/0_domain_study/progress.md b/0_domain_study/progress.md
new file mode 100644
index 000000000..5aacb4e1b
--- /dev/null
+++ b/0_domain_study/progress.md
@@ -0,0 +1,120 @@
+# Team Progress
+
+
+
+## Convergent and Divergent thinking
+
+### Problem Identification
+
+```mermaid
+---
+config:
+ theme: neutral
+ look: neo
+---
+flowchart TB
+ subgraph s1[" "]
+ B{"Sub-domains"}
+ A("Define Domain and Interests")
+ BA("Environmental policy")
+ BB("Solar Energy Systems")
+ BC("Climate change mitigation")
+ BD("Renewable Energy")
+ C{"Domain"}
+ D["Sustainable development"]
+ nn("Start")
+ end
+ subgraph s[" "]
+ n1["Problem Statement"]
+ n2["Research questions"]
+ n3["**How can the adoption of renewable
+ energy—particularly solar power—serve as
+ a tool to combat climate change, reduce inequality,
+ and drive sustainable development in under-served and conflict-affected communities?**"]
+ n31["**What are the economic and environmental benefits of transitioning
+to solar energy?**"]
+ n32["
+ **How can small-scale solar energy users in unregulated markets
+ Verify product quality through digital tools or cooperative purchasing models?**"]
+ n33["**What is the relationship between solar
+ energy availability and civilian displacement
+ patterns in conflict-affected areas in the past decade?**"]
+ n34["**How does the volume and type of
+ construction waste generated vary by project
+ size and location, and what patterns can be
+ identified using publicly available datasets or site records?**"]
+ n35["**How have armed conflicts in the past
+ decade affected the deployment, capacity
+ utilization, and household consumption of
+ solar photovoltaic and small‐scale wind systems
+ in conflict‐affected communities?**"]
+ n36["**How can small-scale solar energy
+ users in unregulated markets verify product
+ quality through digital tools or cooperative purchasing models?**"]
+ n4(["Actionable Research Question"])
+ n5["**How have armed conflicts in the past
+ decade affected the deployment, capacity utilization,
+ and household consumption of solar photovoltaic and
+ small‐scale wind systems in conflict‐affected communities?**"]
+ end
+ A --> B
+ B --> BA & BB & BC & BD
+ BA ~~~ C
+ BB ~~~ C
+ BC ~~~ C
+ BD ~~~ C
+ nn --> A
+ C --> D
+ D --> n1
+ n1 --> n2
+ n2 --> n3 & n31 & n32 & n33 & n34 & n35 & n36
+ n3 & n31 & n32 & n33 & n34 & n35 & n36 --> n4
+ n4 --> n5
+ style B fill:#C8E6C9
+ style A fill:#FFF9C4
+ style C fill:#C8E6C9
+ style n3 color:#000000
+ style n4 fill:#FFF9C4
+
+```
+
+## Our Actionable Research Question
+
+> _How have armed conflicts over the past 25 years
+affected the deployment, capacity utilization,
+and household consumption of solar photovoltaic systems in conflict‐affected communities?_
+
+## Constraints
+
+- Geographical and Seasonal Limitations
+ - Limited sunlight hours and seasonal variation in some regions
+- Financial Barriers
+ - High initial cost of solar panel installation
+- Infrastructure Challenges
+ - Lack of storage infrastructure (e.g. batteries)
+- Energy Access Disparities
+ - Uneven access to renewable energy across urban and rural areas
+- Time Constraints
+ - Time limit of 12 weeks for research
+- Knowledge Requirements
+ - Requires basic domain knowledge in climate science and energy policy
+
+## Project Scope
+
+- **Time Period:** 25 years
+- **Renewable Energy Theme:** Solar Energy
+
+ _Why Solar Energy?_
+
+ - **Fast & Flexible:** Easy to deploy, remove, and scale
+ — from single homes to entire camps.
+ - **Off-Grid Ready:** Operates independently of central
+ power infrastructure.
+ - **Data-Rich:** Ample data on solar use and conflict
+ impacts enables robust analysis.
+ - **High Impact:** Enhances resilience, reduces emissions,
+ and improves daily life in conflict zones.
+
+- **Regions:** Syria, Iraq, Sudan, South Sudan, Palestine, Mali, Ethiopia,
+ Ukraine, Yemen, Libya, Afghanistan, Nigeria, Central African Republic,
+ Somalia,Pakistan, Mozambique and Myanmar (17 countries)
diff --git a/0_domain_study/understanding_of_problem_domain.md b/0_domain_study/understanding_of_problem_domain.md
new file mode 100644
index 000000000..06880d742
--- /dev/null
+++ b/0_domain_study/understanding_of_problem_domain.md
@@ -0,0 +1,51 @@
+# A Summary of Our Group's Understanding Of The Problem Domain
+
+## An overview of the problem statement using system's thinking
+
+### **Patterns & Trends**
+
+* Recurring blackouts: Power cuts occur not just once but in multiple waves
+as fighting flares up.
+* Geographically shifting outages: Different regions lose service as front lines
+move or specific plants are targeted.
+* Escalating repair delays: Each attack adds to a backlog of damage, so average downtime
+lengthens over months.
+* Rising reliance on alternatives: Households increasingly depend on kerosene lamps,
+car batteries, or small diesel generators.
+
+### Systemic Structures
+
+* Centralized generation model: National grid fed by a handful of large,
+vulnerable plants makes the entire system easy to disable.
+* Fragile supply chains: Imported transformers, turbines, and fuel must cross
+conflict checkpoints, causing chronic shortages.
+* Hazards and unsafe conditions make it difficult for repair teams
+to carry out their duties effectively.
+
+### Mental Models
+
+* Planners assume power must flow from big plants down to users, rather
+than through distributed networks.
+* Combatants view utilities as strategic assets and valid military targets.
+
+## Possible Solutions And Interventions
+
+1. **Distributed, modular generation**
+ Deploy community‑scale solar and battery clusters that keep
+ neighborhoods powered even when central plants are taken offline.
+
+2. **Local ownership and maintenance**
+ Create citizen energy committees trained in basic maintenance
+ and equipped to manage micro-grid systems independently.
+
+3. **Protect critical assets through local agreements**
+ Establish “energy safe zones” via negotiated local agreements,
+ supported by community monitors and neutral facilitators.
+
+4. **Integrate energy into humanitarian mandates**
+ Recognize electricity as vital to health, education, and safety,
+ and include energy access in emergency aid planning and funding.
+
+5. **Adapt financial models for conflict**
+ Pre-position spare parts and fund mobile repair teams using
+ flexible, multi‑year resilience-focused financing mechanisms.
diff --git a/1_datasets/README.md b/1_datasets/README.md
index 157ea3aad..2e07c27e3 100644
--- a/1_datasets/README.md
+++ b/1_datasets/README.md
@@ -1 +1,160 @@
+
# Datasets
+
+we have a **`raw_data`** folder that contains the original raw datasets used in preprocessing.
+
+Our data comes from the following sources:
+
+- **IRENA Renewable Energy Statistics** – Published by the *International Renewable Energy Agency (IRENA)*, this dataset provides annual data on renewable energy capacity and generation, including both on-grid and off-grid solar PV deployment across countries and regions.
+
+- **UN Comtrade** – The *United Nations International Trade Statistics Database*, offering detailed trade data on solar-related products (e.g., panels, inverters), helping us understand import/export trends in conflict-affected and stable regions.
+
+1. **[Off-grid Renewable Energy Statistics 2024](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx)**
+2. **[On-grid Renewable Energy Statistics 2024](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx)**
+3. **[UN Comtrade data](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx)**
+
+Additionally, we have **`non-technical explaination of domain modeling.md`** file
+
+---
+
+## [Off-grid Renewable Energy Statistics 2024](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx)
+
+- This dataset is from the International Renewable Energy Agency, which
+is an intergovernmental organization that promotes the adoption and
+sustainable use of renewable energy worldwide.
+- The file consists of two sheets:
+the first one is an ‘about’ file, and the other is the ‘data’ sheet that
+contains the actual data. The data sheet consists of 16 columns, namely:
+Region, UN sub-region, Country, IRENA label, ISO code, Flow, Group technology,
+Sub-technology, Technology, Product code, DataType, Value, Unit, Year, Ptype, Publication.
+- **How it was collected**
+ - According to the [measurement and estimation](https://www.irena.org/publications/2018/Dec/Measurement-and-estimation-of-off-grid-solar-hydro-and-biogas-energy) file of IRENA:
+ - The data was collected from a mix of national databases, international organizations
+ (like GOGLA and SNV), and online sources such as project reports and news articles.
+ Where direct data was unavailable, IRENA used estimation methods (e.g.,
+ trade data, technical assumptions) and peer review to validate and fill gaps.
+- **Some possible flaws are:**
+ - There is no a direct connection between off-grid renewable energy and
+ conflict countries.
+ - The dataset has different unit types in the Units column, depending
+ on the technology utilized.
+ - It has quite a lot of zero values, especially in our targeted countries.
+- **
How it is related to our problem? **
+ This dataset will be a huge asset to our research question, it’s like
+ a baseline layer dataset, for example:
+ - We can use the “value” column to get a sense of the deployment or
+ utilization rate of different renewable energy sources and make a
+ comparison between conflict and non-conflicts countries.
+ - Identify whether conflicts correlate to a slowdown, shift or
+ an increase in solar pv utilization.
+
+ However, alone, it won’t be enough; we’ll need to introduce other
+ resources to showcase conflicts regions, e.g (ACLED, UDCP)
+
+---
+
+## [On-Grid Renewable Energy Statistics 2024](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx)
+
+- This dataset is from the **International Renewable Energy Agency**, which
+is an intergovernmental organization that promotes the adoption and
+sustainable use of renewable energy worldwide.
+_Showing electricity access by country from 2000 to 2025_
+
+- **Mixed Type Data (Qualitative and Quantitaive)**
+Format: Excel (.xlsx) file
+It contains three sheets:
+ - **Country:**
+Each row represents a region(continents); Columns include Sub-region, country, ISO3 Code, M49 Code, renewable or nonrenewable, Group Technology, technology, sub-technology, producer type(on-grid and off-grid electricity), year and sum of Electricity Installed Capacity (MW)
+ - **Region:**
+Each row represents a region; Columns include year, renewable or nonrenewable, Group Technology and Sum of Electricity Installed Capacity (MW)
+ - **Global:**
+Columns include year, renewable or nonrenewable, Group Technology and Sum of Electricity Installed Capacity (MW)
+
+- **How it was collected**
+ - According to the [measurement and estimation](https://www.irena.org/publications/2018/Dec/Measurement-and-estimation-of-off-grid-solar-hydro-and-biogas-energy) file of IRENA:
+ - The data was collected from a mix of national databases, international organizations
+ (like GOGLA and SNV), and online sources such as project reports and news articles.
+ Where direct data was unavailable, IRENA used estimation methods (e.g.,
+ trade data, technical assumptions) and peer review to validate and fill gaps.
+
+- **Some Possible flaws are:**
+ - The dataset does not include _conflict status labels,_ so these must be added manually.
+ - Some entries contain _missing or zero values_, which may indicate either a lack of reported data or no deployment during that period.
+
+- **How can someone recreate it?**
+Go to [IRENA- Renewable Capacity Statistics 2025](https://www.irena.org/Publications/2025/Mar/Renewable-capacity-statistics-2025) , select the latest Renewable Capacity Statistics report, choose format: Excel or CSV and download the full dataset
+
+- **
How it is related to our problem? **
+Look at how **reliance on the main power grid (on-grid electricity) drops in conflict-affected countries.**
+Since the electric grid often _gets damaged or becomes unreliable during conflict,_ we want to **track this decline and show how it affects energy access,** especially how people are forced to **shift** to off-grid solar or other backup sources.
+
+---
+
+## [UN Comtrade Imports Data](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/6f1a08ecd0694b2366bf9896625c5510f18b63b6/1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx)
+
+- **The world's most comprehensive global trade data platform**
+The United Nations Comtrade database aggregates detailed global annual and monthly trade statistics by product and trading partner for use by governments, academia, research institutes, and enterprises. Data compiled by the United Nations Statistics Division covers approximately 200 countries and represents more than 99% of the world's merchandise trade. Information can be extracted in a variety of formats, including API developer tools for integration into enterprise applications and workflows.
+
+- **Possible flaws:**
+ - The tables have many columns that are irrelevant to our purpose.
+ - Some countries have missing data or no data at all.
+ - The need to be familiar with the HS Commodity code to be comfortable with it.
+
+- **How can someone recreate it?**
+ - _Step 1_: Go to the UN Comtrade Website
+ Navigate to the [modern data portal](https://comtradeplus.un.org/TradeFlow)
+
+ - _Step 2_: Open the Data Query Tool
+ On the homepage, click the large "Data" button in the main navigation menu at the top of the page. This will take you to the query builder.
+
+ - _Step 3_: Configure Your Query Filters
+ This is the most important part. You need to tell the database exactly what you're looking for. Fill out the filters on the left-hand side of the page.
+ Type of Product: Keep this as Goods.
+ **Frequency**: Select Annual.
+ **Period**: Select the range of years you want. Click on the box, select 2012 from the start year dropdown, and 2023 (or the latest available year) from the end year dropdown.
+ **Reporter**: This is the importing country. Click the box, type Nigeria, and select it from the list. (You can select multiple countries here if you want).
+ **Partner**: To get total imports from the entire world, select World.
+ Trade Flows: Select Import.
+ **HS (as reported) commodity codes**: This is where you enter the product codes.
+
+ - _Step 4_: You can preview the data before downloading it in the preferred format.
+
+- **
How it is related to our problem? **
+This data set provides detailed solar energy devices (panels, batteries, inverters) import data for the following countries in the period from 2000 to 2024:
+- Syria
+- Iraq
+- Sudan
+- South Sudan
+- Palestine
+- Mali
+- Ethiopia
+- Ukraine
+- Yemen
+- Libya
+- Afghanistan
+- Nigeria
+- Central African Republic
+- Somalia
+- Pakistan
+- Mozambique
+- Myanmar
+- Morocco
+- Gremany
+- Saudi Arabia
+- Rwanda
+
+By observing this data set one can get valuable insights about the effect of conflicts and events on the overall deployment and use of solar energy. For example in 2013 in Pakistan a single coordinated attack in August destroyed four 220 kV towers, cutting off some 100 MW to 15 districts and extending daily load‑shedding by several hours. By observing the imports data of solar panels and batteries to Pakistan in 2013 and 2014, one can notice a dramatic surge in the imported amounts of these products, which could indicate a clear shift to off grid solar energy as a result of that event (this is an initial observation that needs to be analyzed further to draw concrete results from it).
+
+- **Here is a table that provides brief descriptions for some of the HS commodity codes used in this data set:**
+
+| Category | HS Code(s) | Years | Research Purpose |
+|-----------------------|-------------------|------------|----------------------------------------------------------------------------------|
+| Solar Generation (DC) | 8541.40 | Before 2022 | Main code for all solar panels and semiconductor devices.|
+| | | | Was split into 8541.41, 8541.42, 8541.43 after 2022. |
+| Solar Generation (DC) | 8541.42, 8541.43 | 2022+ | 8541.42: Bare photovoltaic cells (unassembled). |
+| | | | 8541.43: Assembled PV panels ready for mounting. |
+| Solar Generation (AC) | 8501.80 | 2022+ | For “AC Modules” – panels with built-in microinverters. Small but important. |
+| Productive Use | 8501.71, 8501.72 | 2022+ | Complete generator sets (panel + electronics). Reported as one commodity. |
+| | 851310 | All Years |Lamps; portable, electric, designed to function by their own source of energy (Solar Lanterns)|
+| Energy Storage | 8507.60 | All years | Lithium-ion batteries. Crucial for off-grid systems. |
+| Power Conversion | 8504.40 | All years | Static converters, including inverters and charge controllers. |
diff --git a/1_datasets/cleaned_data/IRENA_OFGStats.cleaned.xlsx b/1_datasets/cleaned_data/IRENA_OFGStats.cleaned.xlsx
new file mode 100644
index 000000000..8ff25718c
Binary files /dev/null and b/1_datasets/cleaned_data/IRENA_OFGStats.cleaned.xlsx differ
diff --git a/1_datasets/cleaned_data/IRENA_OFGStats_mw.cleaned.xlsx b/1_datasets/cleaned_data/IRENA_OFGStats_mw.cleaned.xlsx
new file mode 100644
index 000000000..06d059fb7
Binary files /dev/null and b/1_datasets/cleaned_data/IRENA_OFGStats_mw.cleaned.xlsx differ
diff --git a/1_datasets/cleaned_data/IRENA_OFGStats_thousands.cleaned.xlsx b/1_datasets/cleaned_data/IRENA_OFGStats_thousands.cleaned.xlsx
new file mode 100644
index 000000000..f4c6e9329
Binary files /dev/null and b/1_datasets/cleaned_data/IRENA_OFGStats_thousands.cleaned.xlsx differ
diff --git a/1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx b/1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx
new file mode 100644
index 000000000..a4c5f1d34
Binary files /dev/null and b/1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx differ
diff --git a/1_datasets/cleaned_data/ONG_conflictcountriesonly.xlsx b/1_datasets/cleaned_data/ONG_conflictcountriesonly.xlsx
new file mode 100644
index 000000000..df3e30a3e
Binary files /dev/null and b/1_datasets/cleaned_data/ONG_conflictcountriesonly.xlsx differ
diff --git a/1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx b/1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx
new file mode 100644
index 000000000..bd2266f90
Binary files /dev/null and b/1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx differ
diff --git a/1_datasets/images/1.png b/1_datasets/images/1.png
new file mode 100644
index 000000000..4c828b47c
Binary files /dev/null and b/1_datasets/images/1.png differ
diff --git a/1_datasets/images/2.png b/1_datasets/images/2.png
new file mode 100644
index 000000000..c2ff5a882
Binary files /dev/null and b/1_datasets/images/2.png differ
diff --git a/1_datasets/images/3.png b/1_datasets/images/3.png
new file mode 100644
index 000000000..a665c2a73
Binary files /dev/null and b/1_datasets/images/3.png differ
diff --git a/1_datasets/non_tech_exp_of_domain_modeling.md b/1_datasets/non_tech_exp_of_domain_modeling.md
new file mode 100644
index 000000000..c27cb6c40
--- /dev/null
+++ b/1_datasets/non_tech_exp_of_domain_modeling.md
@@ -0,0 +1,41 @@
+
+## Domain Modeling (non-technical explanation)
+
+Imagine trying to understand how people survive in war-torn areas when the lights go out — literally. That’s where our project begins. We built something called a **domain model**, which is just a fancy way of saying: _"Let’s draw a simple map to make sense of a really messy situation."_
+
+At the center of it all is **solar energy** — not just as a clean tech solution, but as a **lifeline** when everything else fails. When power lines are bombed, families are displaced, and normal life disappears, solar can step in as **survival infrastructure** — helping people charge phones, power lights, and keep hospitals or schools running. We're looking at things like:
+
+
+
+
+
+
+
+
+
+
+To understand how this all works, we looked at three big clues (datasets):
+
+- **On-Grid and Off-Grid Data** _tells us how traditional electricity drops off during conflict. It’s like tracking where the lights go out and shows how people start using solar systems when the grid fails — kind of like switching from the main power to a backup generator._
+- **Renewable and Non-Renewables** _helps us compare how energy use shifts in crisis: are countries using more solar or still relying on fossil fuels_
+- **UN Comtrade Data** _tracks the flow of solar equipment (like panels and batteries) into countries over time, revealing how conflict affects supply chains and access to solar tech._
+
+Our domain model focuses on three main areas:
+
+
+
+
+
"Survival Infrastructure": We're looking at solar PV as a fundamental tool for human survival - not just another green tech solution.
+
Conflict Lifecycle: We break down solar's role across the pre-conflict, active conflict, and post-conflict phases – because its utility changes drastically through each.
+
Three Pillars of Impact: To get measurable, we're zeroing in on Deployment Patterns, Capacity Utilization, and Household Consumption. These are our core measurable areas, directly feeding into our main research question.
+
+
+
+
+
+
+
+
+Now, let’s be real — collecting data in conflict zones is **really hard**. A lot of info is missing, unreliable, or never even written down (what we call **“dark data”**). So sometimes we have to connect the dots using smart guesses — like using import numbers as a hint for solar activity.
+
+In the end, our domain model is like the gameboard that helps us play this complex game: **What happens to energy when everything else falls apart — and how can solar make things better?**
diff --git a/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx b/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx
new file mode 100644
index 000000000..ca755d523
Binary files /dev/null and b/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx differ
diff --git a/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx b/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx
new file mode 100644
index 000000000..0576ecb7b
Binary files /dev/null and b/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx differ
diff --git a/1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx b/1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx
new file mode 100644
index 000000000..a25877129
Binary files /dev/null and b/1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx differ
diff --git a/2_data_preparation/IRENA_OFG_cleaned.ipynb b/2_data_preparation/IRENA_OFG_cleaned.ipynb
new file mode 100644
index 000000000..d2a4d7737
--- /dev/null
+++ b/2_data_preparation/IRENA_OFG_cleaned.ipynb
@@ -0,0 +1,2466 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "28ef9446",
+ "metadata": {},
+ "source": [
+ "# Load the dataset"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 64,
+ "id": "92bdd070",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
UN Sub-region
\n",
+ "
Country
\n",
+ "
IRENA Label
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Product Code
\n",
+ "
DataType
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Ptype
\n",
+ "
Publication
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Africa
\n",
+ "
Sub-Saharan Africa
\n",
+ "
Angola
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
24129.0
\n",
+ "
ELECCAP
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2000
\n",
+ "
220
\n",
+ "
2024 OFG RE Statistics
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Africa
\n",
+ "
Sub-Saharan Africa
\n",
+ "
Angola
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
24129.0
\n",
+ "
ELECCAP
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2001
\n",
+ "
220
\n",
+ "
2024 OFG RE Statistics
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Africa
\n",
+ "
Sub-Saharan Africa
\n",
+ "
Angola
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
24129.0
\n",
+ "
ELECCAP
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2002
\n",
+ "
220
\n",
+ "
2024 OFG RE Statistics
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Africa
\n",
+ "
Sub-Saharan Africa
\n",
+ "
Angola
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
24129.0
\n",
+ "
ELECCAP
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2003
\n",
+ "
220
\n",
+ "
2024 OFG RE Statistics
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Africa
\n",
+ "
Sub-Saharan Africa
\n",
+ "
Angola
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
24129.0
\n",
+ "
ELECCAP
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2004
\n",
+ "
220
\n",
+ "
2024 OFG RE Statistics
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region UN Sub-region Country IRENA Label ISO Code Flow \\\n",
+ "0 Africa Sub-Saharan Africa Angola Angola AGO Off-grid capacity \n",
+ "1 Africa Sub-Saharan Africa Angola Angola AGO Off-grid capacity \n",
+ "2 Africa Sub-Saharan Africa Angola Angola AGO Off-grid capacity \n",
+ "3 Africa Sub-Saharan Africa Angola Angola AGO Off-grid capacity \n",
+ "4 Africa Sub-Saharan Africa Angola Angola AGO Off-grid capacity \n",
+ "\n",
+ " Group Technology Sub-Technology Technology Product Code \\\n",
+ "0 Solar energy Solar PV (Others) Other off-grid solar PV 24129.0 \n",
+ "1 Solar energy Solar PV (Others) Other off-grid solar PV 24129.0 \n",
+ "2 Solar energy Solar PV (Others) Other off-grid solar PV 24129.0 \n",
+ "3 Solar energy Solar PV (Others) Other off-grid solar PV 24129.0 \n",
+ "4 Solar energy Solar PV (Others) Other off-grid solar PV 24129.0 \n",
+ "\n",
+ " DataType Value Unit Year Ptype Publication \n",
+ "0 ELECCAP 0.0 MW 2000 220 2024 OFG RE Statistics \n",
+ "1 ELECCAP 0.0 MW 2001 220 2024 OFG RE Statistics \n",
+ "2 ELECCAP 0.0 MW 2002 220 2024 OFG RE Statistics \n",
+ "3 ELECCAP 0.0 MW 2003 220 2024 OFG RE Statistics \n",
+ "4 ELECCAP 0.0 MW 2004 220 2024 OFG RE Statistics "
+ ]
+ },
+ "execution_count": 64,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "raw_df = pd.read_excel(\n",
+ " \"../1_datasets/raw_data/IRENA_OFGStats.raw.xlsx\", sheet_name=\"data\"\n",
+ ")\n",
+ "df = raw_df.copy()\n",
+ "df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 65,
+ "id": "a0aad73a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "RangeIndex: 52343 entries, 0 to 52342\n",
+ "Data columns (total 16 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Region 52343 non-null object \n",
+ " 1 UN Sub-region 52343 non-null object \n",
+ " 2 Country 52343 non-null object \n",
+ " 3 IRENA Label 52343 non-null object \n",
+ " 4 ISO Code 52343 non-null object \n",
+ " 5 Flow 52343 non-null object \n",
+ " 6 Group Technology 52343 non-null object \n",
+ " 7 Sub-Technology 52343 non-null object \n",
+ " 8 Technology 52343 non-null object \n",
+ " 9 Product Code 51205 non-null float64\n",
+ " 10 DataType 52343 non-null object \n",
+ " 11 Value 52321 non-null float64\n",
+ " 12 Unit 52343 non-null object \n",
+ " 13 Year 52343 non-null int64 \n",
+ " 14 Ptype 52343 non-null int64 \n",
+ " 15 Publication 52343 non-null object \n",
+ "dtypes: float64(2), int64(2), object(12)\n",
+ "memory usage: 6.4+ MB\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "(52343, 16)"
+ ]
+ },
+ "execution_count": 65,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df.info()\n",
+ "df.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 66,
+ "id": "8cb83cb9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Region 0\n",
+ "UN Sub-region 0\n",
+ "Country 0\n",
+ "IRENA Label 0\n",
+ "ISO Code 0\n",
+ "Flow 0\n",
+ "Group Technology 0\n",
+ "Sub-Technology 0\n",
+ "Technology 0\n",
+ "Product Code 1138\n",
+ "DataType 0\n",
+ "Value 22\n",
+ "Unit 0\n",
+ "Year 0\n",
+ "Ptype 0\n",
+ "Publication 0\n",
+ "dtype: int64"
+ ]
+ },
+ "execution_count": 66,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df.isnull().sum()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "326e44c4",
+ "metadata": {},
+ "source": [
+ "- **It's clear that there are a lot of null values in the product Code but the column itself is not relevant to our study so it will be dropped along with: UN Sub-region, IRENA Label, Ptype, and publication**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 67,
+ "id": "117cb458",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df.drop(\n",
+ " [\n",
+ " \"UN Sub-region\",\n",
+ " \"IRENA Label\",\n",
+ " \"Ptype\",\n",
+ " \"Publication\",\n",
+ " \"Product Code\",\n",
+ " \"DataType\",\n",
+ " ],\n",
+ " axis=1,\n",
+ " inplace=True,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 68,
+ "id": "fd3e0d3f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2000
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2001
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2002
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2003
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2004
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "0 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "1 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "2 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "3 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "4 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "\n",
+ " Sub-Technology Technology Value Unit Year \n",
+ "0 Solar PV (Others) Other off-grid solar PV 0.0 MW 2000 \n",
+ "1 Solar PV (Others) Other off-grid solar PV 0.0 MW 2001 \n",
+ "2 Solar PV (Others) Other off-grid solar PV 0.0 MW 2002 \n",
+ "3 Solar PV (Others) Other off-grid solar PV 0.0 MW 2003 \n",
+ "4 Solar PV (Others) Other off-grid solar PV 0.0 MW 2004 "
+ ]
+ },
+ "execution_count": 68,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "500a1aef",
+ "metadata": {},
+ "source": [
+ "- **Now, we should handle the 22 missing values in the \"Value\" Column**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 69,
+ "id": "ffc86d77",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
39940
\n",
+ "
Central America and the Caribbean
\n",
+ "
Bahamas (the)
\n",
+ "
BHS
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
39946
\n",
+ "
Central America and the Caribbean
\n",
+ "
Belize
\n",
+ "
BLZ
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
39957
\n",
+ "
Central America and the Caribbean
\n",
+ "
Costa Rica
\n",
+ "
CRI
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
39971
\n",
+ "
Central America and the Caribbean
\n",
+ "
Dominica
\n",
+ "
DMA
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40021
\n",
+ "
Central America and the Caribbean
\n",
+ "
Nicaragua
\n",
+ "
NIC
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40035
\n",
+ "
Central America and the Caribbean
\n",
+ "
Puerto Rico
\n",
+ "
PRI
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40082
\n",
+ "
South America
\n",
+ "
Brazil
\n",
+ "
BRA
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40089
\n",
+ "
South America
\n",
+ "
Chile
\n",
+ "
CHL
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40141
\n",
+ "
Africa
\n",
+ "
Egypt
\n",
+ "
EGY
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40169
\n",
+ "
Africa
\n",
+ "
Sudan (the)
\n",
+ "
SDN
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40209
\n",
+ "
Middle East
\n",
+ "
Jordan
\n",
+ "
JOR
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40283
\n",
+ "
Oceania
\n",
+ "
Kiribati
\n",
+ "
KIR
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40293
\n",
+ "
Oceania
\n",
+ "
Marshall Islands (the)
\n",
+ "
MHL
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40303
\n",
+ "
Oceania
\n",
+ "
Nauru
\n",
+ "
NRU
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40309
\n",
+ "
Oceania
\n",
+ "
Palau
\n",
+ "
PLW
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40330
\n",
+ "
Oceania
\n",
+ "
Samoa
\n",
+ "
WSM
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40352
\n",
+ "
Oceania
\n",
+ "
Tonga
\n",
+ "
TON
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40427
\n",
+ "
Asia
\n",
+ "
Lao People's Democratic Republic (the)
\n",
+ "
LAO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
40522
\n",
+ "
Asia
\n",
+ "
Bhutan
\n",
+ "
BTN
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
43089
\n",
+ "
Africa
\n",
+ "
Cabo Verde
\n",
+ "
CPV
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
43157
\n",
+ "
Africa
\n",
+ "
Equatorial Guinea
\n",
+ "
GNQ
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ "
\n",
+ "
43308
\n",
+ "
Africa
\n",
+ "
Mauritania
\n",
+ "
MRT
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar lights and SHS
\n",
+ "
Solar lights and solar home systems (SHS)
\n",
+ "
NaN
\n",
+ "
MW
\n",
+ "
2023
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region \\\n",
+ "39940 Central America and the Caribbean \n",
+ "39946 Central America and the Caribbean \n",
+ "39957 Central America and the Caribbean \n",
+ "39971 Central America and the Caribbean \n",
+ "40021 Central America and the Caribbean \n",
+ "40035 Central America and the Caribbean \n",
+ "40082 South America \n",
+ "40089 South America \n",
+ "40141 Africa \n",
+ "40169 Africa \n",
+ "40209 Middle East \n",
+ "40283 Oceania \n",
+ "40293 Oceania \n",
+ "40303 Oceania \n",
+ "40309 Oceania \n",
+ "40330 Oceania \n",
+ "40352 Oceania \n",
+ "40427 Asia \n",
+ "40522 Asia \n",
+ "43089 Africa \n",
+ "43157 Africa \n",
+ "43308 Africa \n",
+ "\n",
+ " Country ISO Code Flow \\\n",
+ "39940 Bahamas (the) BHS Off-grid capacity \n",
+ "39946 Belize BLZ Off-grid capacity \n",
+ "39957 Costa Rica CRI Off-grid capacity \n",
+ "39971 Dominica DMA Off-grid capacity \n",
+ "40021 Nicaragua NIC Off-grid capacity \n",
+ "40035 Puerto Rico PRI Off-grid capacity \n",
+ "40082 Brazil BRA Off-grid capacity \n",
+ "40089 Chile CHL Off-grid capacity \n",
+ "40141 Egypt EGY Off-grid capacity \n",
+ "40169 Sudan (the) SDN Off-grid capacity \n",
+ "40209 Jordan JOR Off-grid capacity \n",
+ "40283 Kiribati KIR Off-grid capacity \n",
+ "40293 Marshall Islands (the) MHL Off-grid capacity \n",
+ "40303 Nauru NRU Off-grid capacity \n",
+ "40309 Palau PLW Off-grid capacity \n",
+ "40330 Samoa WSM Off-grid capacity \n",
+ "40352 Tonga TON Off-grid capacity \n",
+ "40427 Lao People's Democratic Republic (the) LAO Off-grid capacity \n",
+ "40522 Bhutan BTN Off-grid capacity \n",
+ "43089 Cabo Verde CPV Off-grid capacity \n",
+ "43157 Equatorial Guinea GNQ Off-grid capacity \n",
+ "43308 Mauritania MRT Off-grid capacity \n",
+ "\n",
+ " Group Technology Sub-Technology \\\n",
+ "39940 Solar energy Solar lights and SHS \n",
+ "39946 Solar energy Solar lights and SHS \n",
+ "39957 Solar energy Solar lights and SHS \n",
+ "39971 Solar energy Solar lights and SHS \n",
+ "40021 Solar energy Solar lights and SHS \n",
+ "40035 Solar energy Solar lights and SHS \n",
+ "40082 Solar energy Solar lights and SHS \n",
+ "40089 Solar energy Solar lights and SHS \n",
+ "40141 Solar energy Solar lights and SHS \n",
+ "40169 Solar energy Solar lights and SHS \n",
+ "40209 Solar energy Solar lights and SHS \n",
+ "40283 Solar energy Solar lights and SHS \n",
+ "40293 Solar energy Solar lights and SHS \n",
+ "40303 Solar energy Solar lights and SHS \n",
+ "40309 Solar energy Solar lights and SHS \n",
+ "40330 Solar energy Solar lights and SHS \n",
+ "40352 Solar energy Solar lights and SHS \n",
+ "40427 Solar energy Solar lights and SHS \n",
+ "40522 Solar energy Solar lights and SHS \n",
+ "43089 Solar energy Solar lights and SHS \n",
+ "43157 Solar energy Solar lights and SHS \n",
+ "43308 Solar energy Solar lights and SHS \n",
+ "\n",
+ " Technology Value Unit Year \n",
+ "39940 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "39946 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "39957 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "39971 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40021 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40035 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40082 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40089 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40141 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40169 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40209 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40283 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40293 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40303 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40309 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40330 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40352 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40427 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "40522 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "43089 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "43157 Solar lights and solar home systems (SHS) NaN MW 2023 \n",
+ "43308 Solar lights and solar home systems (SHS) NaN MW 2023 "
+ ]
+ },
+ "execution_count": 69,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "missing_rows = df[df[\"Value\"].isnull()]\n",
+ "missing_rows"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8663d0d4",
+ "metadata": {},
+ "source": [
+ "- **So, it's apparent that most of the missing values here are from countries out of our scope, so it's better to just fill the null values with zeros**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "58639b39",
+ "metadata": {},
+ "source": [
+ "# Filling the missing values with zeros"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 70,
+ "id": "5503d2bd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "np.int64(0)"
+ ]
+ },
+ "execution_count": 70,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2 = df.fillna(value=0)\n",
+ "df2.isnull().sum().sum()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "03841094",
+ "metadata": {},
+ "source": [
+ "**- Now, let's checkup the year range, our research study is from 2000 onward**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 71,
+ "id": "80de3adc",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,\n",
+ " 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021,\n",
+ " 2022, 2023])"
+ ]
+ },
+ "execution_count": 71,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2[\"Year\"].unique()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ae45435e",
+ "metadata": {},
+ "source": [
+ "- **Now, we can add a conflict status column to the dataset to present whether a country experienced conflicts in the predefined period or not.**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 72,
+ "id": "9700dd42",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2000
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2001
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2002
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2003
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2004
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
5
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2005
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
6
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2006
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
7
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2007
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
8
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2008
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
9
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2009
\n",
+ "
No Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "0 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "1 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "2 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "3 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "4 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "5 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "6 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "7 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "8 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "9 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "\n",
+ " Sub-Technology Technology Value Unit Year \\\n",
+ "0 Solar PV (Others) Other off-grid solar PV 0.0 MW 2000 \n",
+ "1 Solar PV (Others) Other off-grid solar PV 0.0 MW 2001 \n",
+ "2 Solar PV (Others) Other off-grid solar PV 0.0 MW 2002 \n",
+ "3 Solar PV (Others) Other off-grid solar PV 0.0 MW 2003 \n",
+ "4 Solar PV (Others) Other off-grid solar PV 0.0 MW 2004 \n",
+ "5 Solar PV (Others) Other off-grid solar PV 0.0 MW 2005 \n",
+ "6 Solar PV (Others) Other off-grid solar PV 0.0 MW 2006 \n",
+ "7 Solar PV (Others) Other off-grid solar PV 0.0 MW 2007 \n",
+ "8 Solar PV (Others) Other off-grid solar PV 0.0 MW 2008 \n",
+ "9 Solar PV (Others) Other off-grid solar PV 0.0 MW 2009 \n",
+ "\n",
+ " Conflict Status \n",
+ "0 No Conflict \n",
+ "1 No Conflict \n",
+ "2 No Conflict \n",
+ "3 No Conflict \n",
+ "4 No Conflict \n",
+ "5 No Conflict \n",
+ "6 No Conflict \n",
+ "7 No Conflict \n",
+ "8 No Conflict \n",
+ "9 No Conflict "
+ ]
+ },
+ "execution_count": 72,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "conflict_countries = [\n",
+ " \"Syria\",\n",
+ " \"Iraq\",\n",
+ " \"Sudan (the)\",\n",
+ " \"South Sudan\",\n",
+ " \"Palestine\",\n",
+ " \"Mali\",\n",
+ " \"Ethiopia\",\n",
+ " \"Ukraine\",\n",
+ " \"Yemen\",\n",
+ " \"Libya\",\n",
+ " \"Afghanistan\",\n",
+ " \"Nigeria\",\n",
+ " \"Central African Republic\",\n",
+ " \"Somalia\",\n",
+ " \"Pakistan\",\n",
+ " \"Mozambique\",\n",
+ " \"Myanmar\",\n",
+ " \"Chad\",\n",
+ " \"Democratic Republic of the Congo (the)\",\n",
+ "]\n",
+ "df2[\"Conflict Status\"] = df2[\"Country\"].apply(\n",
+ " lambda x: \"Conflict\" if x in conflict_countries else \"No Conflict\"\n",
+ ")\n",
+ "df2.head(10)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "113ed700",
+ "metadata": {},
+ "source": [
+ "- **let's check if all the unit in the `Unit` column are the same**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 73,
+ "id": "facffb42",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['MW', 'Thousands', '1,000 m3'], dtype=object)"
+ ]
+ },
+ "execution_count": 73,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2[\"Unit\"].unique()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c47c9b54",
+ "metadata": {},
+ "source": [
+ "- Hmm, that's interesting, we have to somehow standardize the value units"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 74,
+ "id": "ff5b7a3e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
11271
\n",
+ "
Africa
\n",
+ "
Burundi
\n",
+ "
BDI
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0000
\n",
+ "
1,000 m3
\n",
+ "
2000
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11272
\n",
+ "
Africa
\n",
+ "
Burundi
\n",
+ "
BDI
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0000
\n",
+ "
1,000 m3
\n",
+ "
2001
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11273
\n",
+ "
Africa
\n",
+ "
Burundi
\n",
+ "
BDI
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0000
\n",
+ "
1,000 m3
\n",
+ "
2002
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11274
\n",
+ "
Africa
\n",
+ "
Burundi
\n",
+ "
BDI
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0000
\n",
+ "
1,000 m3
\n",
+ "
2003
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11275
\n",
+ "
Africa
\n",
+ "
Burundi
\n",
+ "
BDI
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0000
\n",
+ "
1,000 m3
\n",
+ "
2004
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
...
\n",
+ "
\n",
+ "
\n",
+ "
34763
\n",
+ "
Africa
\n",
+ "
Zimbabwe
\n",
+ "
ZWE
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Total biogas production
\n",
+ "
1148.0810
\n",
+ "
1,000 m3
\n",
+ "
2019
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
34764
\n",
+ "
Africa
\n",
+ "
Zimbabwe
\n",
+ "
ZWE
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Total biogas production
\n",
+ "
1142.4995
\n",
+ "
1,000 m3
\n",
+ "
2020
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
34765
\n",
+ "
Africa
\n",
+ "
Zimbabwe
\n",
+ "
ZWE
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Total biogas production
\n",
+ "
1135.5455
\n",
+ "
1,000 m3
\n",
+ "
2021
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
34766
\n",
+ "
Africa
\n",
+ "
Zimbabwe
\n",
+ "
ZWE
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Total biogas production
\n",
+ "
1055.3000
\n",
+ "
1,000 m3
\n",
+ "
2022
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
34767
\n",
+ "
Africa
\n",
+ "
Zimbabwe
\n",
+ "
ZWE
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Total biogas production
\n",
+ "
1055.3000
\n",
+ "
1,000 m3
\n",
+ "
2023
\n",
+ "
No Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
4632 rows × 11 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "11271 Africa Burundi BDI Off-grid biogas production Bioenergy \n",
+ "11272 Africa Burundi BDI Off-grid biogas production Bioenergy \n",
+ "11273 Africa Burundi BDI Off-grid biogas production Bioenergy \n",
+ "11274 Africa Burundi BDI Off-grid biogas production Bioenergy \n",
+ "11275 Africa Burundi BDI Off-grid biogas production Bioenergy \n",
+ "... ... ... ... ... ... \n",
+ "34763 Africa Zimbabwe ZWE Off-grid biogas production Bioenergy \n",
+ "34764 Africa Zimbabwe ZWE Off-grid biogas production Bioenergy \n",
+ "34765 Africa Zimbabwe ZWE Off-grid biogas production Bioenergy \n",
+ "34766 Africa Zimbabwe ZWE Off-grid biogas production Bioenergy \n",
+ "34767 Africa Zimbabwe ZWE Off-grid biogas production Bioenergy \n",
+ "\n",
+ " Sub-Technology Technology Value \\\n",
+ "11271 Biogas production Production of biogas for industry 0.0000 \n",
+ "11272 Biogas production Production of biogas for industry 0.0000 \n",
+ "11273 Biogas production Production of biogas for industry 0.0000 \n",
+ "11274 Biogas production Production of biogas for industry 0.0000 \n",
+ "11275 Biogas production Production of biogas for industry 0.0000 \n",
+ "... ... ... ... \n",
+ "34763 Biogas production Total biogas production 1148.0810 \n",
+ "34764 Biogas production Total biogas production 1142.4995 \n",
+ "34765 Biogas production Total biogas production 1135.5455 \n",
+ "34766 Biogas production Total biogas production 1055.3000 \n",
+ "34767 Biogas production Total biogas production 1055.3000 \n",
+ "\n",
+ " Unit Year Conflict Status \n",
+ "11271 1,000 m3 2000 No Conflict \n",
+ "11272 1,000 m3 2001 No Conflict \n",
+ "11273 1,000 m3 2002 No Conflict \n",
+ "11274 1,000 m3 2003 No Conflict \n",
+ "11275 1,000 m3 2004 No Conflict \n",
+ "... ... ... ... \n",
+ "34763 1,000 m3 2019 No Conflict \n",
+ "34764 1,000 m3 2020 No Conflict \n",
+ "34765 1,000 m3 2021 No Conflict \n",
+ "34766 1,000 m3 2022 No Conflict \n",
+ "34767 1,000 m3 2023 No Conflict \n",
+ "\n",
+ "[4632 rows x 11 columns]"
+ ]
+ },
+ "execution_count": 74,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2[df2[\"Unit\"] == \"1,000 m3\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 75,
+ "id": "7ee6ee0c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['Iraq', 'Myanmar', 'Afghanistan', 'Pakistan', 'Nigeria',\n",
+ " 'Mozambique', 'Mali', 'Democratic Republic of the Congo (the)',\n",
+ " 'Ethiopia'], dtype=object)"
+ ]
+ },
+ "execution_count": 75,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "conflict_m3 = df2[\n",
+ " (df2[\"Country\"].isin(conflict_countries)) & (df2[\"Unit\"] == \"1,000 m3\")\n",
+ "]\n",
+ "Countries_value_bigger_zero = conflict_m3[conflict_m3[\"Value\"] > 0][\"Country\"].unique()\n",
+ "Countries_value_bigger_zero"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 76,
+ "id": "a4db2de5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
11324
\n",
+ "
Africa
\n",
+ "
Nigeria
\n",
+ "
NGA
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0
\n",
+ "
1,000 m3
\n",
+ "
2000
\n",
+ "
Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11325
\n",
+ "
Africa
\n",
+ "
Nigeria
\n",
+ "
NGA
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0
\n",
+ "
1,000 m3
\n",
+ "
2001
\n",
+ "
Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11326
\n",
+ "
Africa
\n",
+ "
Nigeria
\n",
+ "
NGA
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0
\n",
+ "
1,000 m3
\n",
+ "
2002
\n",
+ "
Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11327
\n",
+ "
Africa
\n",
+ "
Nigeria
\n",
+ "
NGA
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0
\n",
+ "
1,000 m3
\n",
+ "
2003
\n",
+ "
Conflict
\n",
+ "
\n",
+ "
\n",
+ "
11328
\n",
+ "
Africa
\n",
+ "
Nigeria
\n",
+ "
NGA
\n",
+ "
Off-grid biogas production
\n",
+ "
Bioenergy
\n",
+ "
Biogas production
\n",
+ "
Production of biogas for industry
\n",
+ "
0.0
\n",
+ "
1,000 m3
\n",
+ "
2004
\n",
+ "
Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "11324 Africa Nigeria NGA Off-grid biogas production Bioenergy \n",
+ "11325 Africa Nigeria NGA Off-grid biogas production Bioenergy \n",
+ "11326 Africa Nigeria NGA Off-grid biogas production Bioenergy \n",
+ "11327 Africa Nigeria NGA Off-grid biogas production Bioenergy \n",
+ "11328 Africa Nigeria NGA Off-grid biogas production Bioenergy \n",
+ "\n",
+ " Sub-Technology Technology Value Unit \\\n",
+ "11324 Biogas production Production of biogas for industry 0.0 1,000 m3 \n",
+ "11325 Biogas production Production of biogas for industry 0.0 1,000 m3 \n",
+ "11326 Biogas production Production of biogas for industry 0.0 1,000 m3 \n",
+ "11327 Biogas production Production of biogas for industry 0.0 1,000 m3 \n",
+ "11328 Biogas production Production of biogas for industry 0.0 1,000 m3 \n",
+ "\n",
+ " Year Conflict Status \n",
+ "11324 2000 Conflict \n",
+ "11325 2001 Conflict \n",
+ "11326 2002 Conflict \n",
+ "11327 2003 Conflict \n",
+ "11328 2004 Conflict "
+ ]
+ },
+ "execution_count": 76,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "conflict_m3.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f2f477d7",
+ "metadata": {},
+ "source": [
+ "- The `1000 m3` unit is appeared to be primarily used for `Biogass` technology, which is irrelevant to us"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 77,
+ "id": "652945dd",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Flow Unit \n",
+ "Off-grid biogas production 1,000 m3 4632\n",
+ "Off-grid capacity MW 33130\n",
+ "Off-grid energy access Thousands 14581\n",
+ "Name: Technology, dtype: int64"
+ ]
+ },
+ "execution_count": 77,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.groupby([\"Flow\", \"Unit\"])[\"Technology\"].count()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 78,
+ "id": "2bec4e7d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df2 = df2[~df2[\"Sub-Technology\"].str.contains(\"biogas\", case=False, na=False)]\n",
+ "df2 = df2[df2[\"Group Technology\"] != \"Bioenergy\"]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 79,
+ "id": "a3ed5146",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Flow Unit \n",
+ "Off-grid capacity MW 31594\n",
+ "Off-grid energy access Thousands 13224\n",
+ "Name: Technology, dtype: int64"
+ ]
+ },
+ "execution_count": 79,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.groupby([\"Flow\", \"Unit\"])[\"Technology\"].count()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 80,
+ "id": "f0ffc0fb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
48093
\n",
+ "
Oceania
\n",
+ "
Marshall Islands (the)
\n",
+ "
MHL
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Communication)
\n",
+ "
Other off-grid solar PV (of which communication)
\n",
+ "
0.06000
\n",
+ "
MW
\n",
+ "
2011
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
41864
\n",
+ "
Asia
\n",
+ "
Myanmar
\n",
+ "
MMR
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar home systems
\n",
+ "
Solar home systems (SHS >50 W)
\n",
+ "
3.36687
\n",
+ "
MW
\n",
+ "
2014
\n",
+ "
Conflict
\n",
+ "
\n",
+ "
\n",
+ "
23008
\n",
+ "
Central America and the Caribbean
\n",
+ "
Belize
\n",
+ "
BLZ
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar pumps
\n",
+ "
Solar pumps
\n",
+ "
0.00000
\n",
+ "
MW
\n",
+ "
2007
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
19906
\n",
+ "
Oceania
\n",
+ "
Cook Islands (the)
\n",
+ "
COK
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar mini-grids
\n",
+ "
Solar mini-grids
\n",
+ "
0.00000
\n",
+ "
MW
\n",
+ "
2006
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
18281
\n",
+ "
Asia
\n",
+ "
Maldives
\n",
+ "
MDV
\n",
+ "
Off-grid energy access
\n",
+ "
Solar energy
\n",
+ "
Solar mini-grids
\n",
+ "
Number of people connected to solar mini-grids...
\n",
+ "
0.00000
\n",
+ "
Thousands
\n",
+ "
2010
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
43719
\n",
+ "
Africa
\n",
+ "
Namibia
\n",
+ "
NAM
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar home systems
\n",
+ "
Solar home systems (SHS 11-50 W)
\n",
+ "
0.00873
\n",
+ "
MW
\n",
+ "
2021
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
8795
\n",
+ "
Africa
\n",
+ "
Niger (the)
\n",
+ "
NER
\n",
+ "
Off-grid energy access
\n",
+ "
Solar energy
\n",
+ "
Solar mini-grids
\n",
+ "
Number of people connected to solar mini-grids...
\n",
+ "
0.00000
\n",
+ "
Thousands
\n",
+ "
2000
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
20322
\n",
+ "
South America
\n",
+ "
Venezuela (Bolivarian Republic of)
\n",
+ "
VEN
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar mini-grids
\n",
+ "
Solar mini-grids
\n",
+ "
0.00000
\n",
+ "
MW
\n",
+ "
2009
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
46593
\n",
+ "
Africa
\n",
+ "
Gabon
\n",
+ "
GAB
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar pumps
\n",
+ "
Solar pumps
\n",
+ "
0.02020
\n",
+ "
MW
\n",
+ "
2014
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
7153
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid energy access
\n",
+ "
Solar energy
\n",
+ "
Solar lights
\n",
+ "
Number of people using solar lights (<11 W)
\n",
+ "
0.00000
\n",
+ "
Thousands
\n",
+ "
2012
\n",
+ "
No Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country \\\n",
+ "48093 Oceania Marshall Islands (the) \n",
+ "41864 Asia Myanmar \n",
+ "23008 Central America and the Caribbean Belize \n",
+ "19906 Oceania Cook Islands (the) \n",
+ "18281 Asia Maldives \n",
+ "43719 Africa Namibia \n",
+ "8795 Africa Niger (the) \n",
+ "20322 South America Venezuela (Bolivarian Republic of) \n",
+ "46593 Africa Gabon \n",
+ "7153 Africa Angola \n",
+ "\n",
+ " ISO Code Flow Group Technology \\\n",
+ "48093 MHL Off-grid capacity Solar energy \n",
+ "41864 MMR Off-grid capacity Solar energy \n",
+ "23008 BLZ Off-grid capacity Solar energy \n",
+ "19906 COK Off-grid capacity Solar energy \n",
+ "18281 MDV Off-grid energy access Solar energy \n",
+ "43719 NAM Off-grid capacity Solar energy \n",
+ "8795 NER Off-grid energy access Solar energy \n",
+ "20322 VEN Off-grid capacity Solar energy \n",
+ "46593 GAB Off-grid capacity Solar energy \n",
+ "7153 AGO Off-grid energy access Solar energy \n",
+ "\n",
+ " Sub-Technology \\\n",
+ "48093 Solar PV (Communication) \n",
+ "41864 Solar home systems \n",
+ "23008 Solar pumps \n",
+ "19906 Solar mini-grids \n",
+ "18281 Solar mini-grids \n",
+ "43719 Solar home systems \n",
+ "8795 Solar mini-grids \n",
+ "20322 Solar mini-grids \n",
+ "46593 Solar pumps \n",
+ "7153 Solar lights \n",
+ "\n",
+ " Technology Value Unit \\\n",
+ "48093 Other off-grid solar PV (of which communication) 0.06000 MW \n",
+ "41864 Solar home systems (SHS >50 W) 3.36687 MW \n",
+ "23008 Solar pumps 0.00000 MW \n",
+ "19906 Solar mini-grids 0.00000 MW \n",
+ "18281 Number of people connected to solar mini-grids... 0.00000 Thousands \n",
+ "43719 Solar home systems (SHS 11-50 W) 0.00873 MW \n",
+ "8795 Number of people connected to solar mini-grids... 0.00000 Thousands \n",
+ "20322 Solar mini-grids 0.00000 MW \n",
+ "46593 Solar pumps 0.02020 MW \n",
+ "7153 Number of people using solar lights (<11 W) 0.00000 Thousands \n",
+ "\n",
+ " Year Conflict Status \n",
+ "48093 2011 No Conflict \n",
+ "41864 2014 Conflict \n",
+ "23008 2007 No Conflict \n",
+ "19906 2006 No Conflict \n",
+ "18281 2010 No Conflict \n",
+ "43719 2021 No Conflict \n",
+ "8795 2000 No Conflict \n",
+ "20322 2009 No Conflict \n",
+ "46593 2014 No Conflict \n",
+ "7153 2012 No Conflict "
+ ]
+ },
+ "execution_count": 80,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df2.sample(10)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e03781f3",
+ "metadata": {},
+ "source": [
+ "- The 'value column in the dataframe has two different unrelated units, in our case, it is better to split the dataframe"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 81,
+ "id": "cf12f6fe",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Filter for MW (capacity)\n",
+ "df_mw = df2[df2[\"Unit\"] == \"MW\"].copy()\n",
+ "# Filter for thousands (people served)\n",
+ "df_thousands = df2[df2[\"Unit\"] == \"Thousands\"].copy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 82,
+ "id": "a55ab4d5",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Flow Unit\n",
+ "Off-grid capacity MW 31594\n",
+ "Name: Technology, dtype: int64\n",
+ "Flow Unit \n",
+ "Off-grid energy access Thousands 13224\n",
+ "Name: Technology, dtype: int64\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(df_mw.groupby([\"Flow\", \"Unit\"])[\"Technology\"].count())\n",
+ "print(df_thousands.groupby([\"Flow\", \"Unit\"])[\"Technology\"].count())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 83,
+ "id": "467fd70d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['Solar PV (Others)', 'Solar PV (Health)',\n",
+ " 'Solar PV (Commercial/Public)', 'Solar PV (Education)',\n",
+ " 'Solar PV (Not specified)', 'Solar PV (Industry)',\n",
+ " 'Solar PV (Tourism)', 'Solar PV (Public lighting)',\n",
+ " 'Solar PV (Communication)', 'Solar PV (Residential)',\n",
+ " 'Solar PV (Agriculture)', 'Solar PV (Multi-purpose)',\n",
+ " 'Solar mini-grids', 'Solar lights', 'Solar pumps',\n",
+ " 'Solar home systems', 'Onshore wind energy', 'Hydropower',\n",
+ " 'Solar cookers', 'Solar lights and SHS'], dtype=object)"
+ ]
+ },
+ "execution_count": 83,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_mw[\"Sub-Technology\"].unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 84,
+ "id": "80cf33f2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['Hydropower', 'Solar lights', 'Solar mini-grids',\n",
+ " 'Solar home systems', 'Solar cookers'], dtype=object)"
+ ]
+ },
+ "execution_count": 84,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_thousands[\"Sub-Technology\"].unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 85,
+ "id": "5e8b41be",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2000
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2001
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2002
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2003
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2004
\n",
+ "
No Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "0 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "1 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "2 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "3 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "4 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "\n",
+ " Sub-Technology Technology Value Unit Year \\\n",
+ "0 Solar PV (Others) Other off-grid solar PV 0.0 MW 2000 \n",
+ "1 Solar PV (Others) Other off-grid solar PV 0.0 MW 2001 \n",
+ "2 Solar PV (Others) Other off-grid solar PV 0.0 MW 2002 \n",
+ "3 Solar PV (Others) Other off-grid solar PV 0.0 MW 2003 \n",
+ "4 Solar PV (Others) Other off-grid solar PV 0.0 MW 2004 \n",
+ "\n",
+ " Conflict Status \n",
+ "0 No Conflict \n",
+ "1 No Conflict \n",
+ "2 No Conflict \n",
+ "3 No Conflict \n",
+ "4 No Conflict "
+ ]
+ },
+ "execution_count": 85,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_mw.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 86,
+ "id": "5ba4d57b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
Value
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
7003
\n",
+ "
Africa
\n",
+ "
Cameroon
\n",
+ "
CMR
\n",
+ "
Off-grid energy access
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Hydropower
\n",
+ "
Number of people connected to hydropower
\n",
+ "
0.0
\n",
+ "
Thousands
\n",
+ "
2000
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
7004
\n",
+ "
Africa
\n",
+ "
Cameroon
\n",
+ "
CMR
\n",
+ "
Off-grid energy access
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Hydropower
\n",
+ "
Number of people connected to hydropower
\n",
+ "
0.0
\n",
+ "
Thousands
\n",
+ "
2001
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
7005
\n",
+ "
Africa
\n",
+ "
Cameroon
\n",
+ "
CMR
\n",
+ "
Off-grid energy access
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Hydropower
\n",
+ "
Number of people connected to hydropower
\n",
+ "
0.0
\n",
+ "
Thousands
\n",
+ "
2002
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
7006
\n",
+ "
Africa
\n",
+ "
Cameroon
\n",
+ "
CMR
\n",
+ "
Off-grid energy access
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Hydropower
\n",
+ "
Number of people connected to hydropower
\n",
+ "
0.0
\n",
+ "
Thousands
\n",
+ "
2003
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
7007
\n",
+ "
Africa
\n",
+ "
Democratic Republic of the Congo (the)
\n",
+ "
COD
\n",
+ "
Off-grid energy access
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Hydropower
\n",
+ "
Number of people connected to hydropower
\n",
+ "
0.0
\n",
+ "
Thousands
\n",
+ "
2000
\n",
+ "
Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code \\\n",
+ "7003 Africa Cameroon CMR \n",
+ "7004 Africa Cameroon CMR \n",
+ "7005 Africa Cameroon CMR \n",
+ "7006 Africa Cameroon CMR \n",
+ "7007 Africa Democratic Republic of the Congo (the) COD \n",
+ "\n",
+ " Flow Group Technology \\\n",
+ "7003 Off-grid energy access Hydropower (excl. Pumped Storage) \n",
+ "7004 Off-grid energy access Hydropower (excl. Pumped Storage) \n",
+ "7005 Off-grid energy access Hydropower (excl. Pumped Storage) \n",
+ "7006 Off-grid energy access Hydropower (excl. Pumped Storage) \n",
+ "7007 Off-grid energy access Hydropower (excl. Pumped Storage) \n",
+ "\n",
+ " Sub-Technology Technology Value \\\n",
+ "7003 Hydropower Number of people connected to hydropower 0.0 \n",
+ "7004 Hydropower Number of people connected to hydropower 0.0 \n",
+ "7005 Hydropower Number of people connected to hydropower 0.0 \n",
+ "7006 Hydropower Number of people connected to hydropower 0.0 \n",
+ "7007 Hydropower Number of people connected to hydropower 0.0 \n",
+ "\n",
+ " Unit Year Conflict Status \n",
+ "7003 Thousands 2000 No Conflict \n",
+ "7004 Thousands 2001 No Conflict \n",
+ "7005 Thousands 2002 No Conflict \n",
+ "7006 Thousands 2003 No Conflict \n",
+ "7007 Thousands 2000 Conflict "
+ ]
+ },
+ "execution_count": 86,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_thousands.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "12a65404",
+ "metadata": {},
+ "source": [
+ "- **Now, The resultant datasets will be saved to \"cleaned_data\" sub-folder in the \"1_dataset\" folder**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 87,
+ "id": "5b2533ff",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_mw.to_excel(\n",
+ " \"../1_datasets/cleaned_data/IRENA_OFGStats_mw.cleaned.xlsx\",\n",
+ " sheet_name=\"Cleaned_data\",\n",
+ " index=False,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 88,
+ "id": "32877bbd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df_thousands.to_excel(\n",
+ " \"../1_datasets/cleaned_data/IRENA_OFGStats_thousands.cleaned.xlsx\",\n",
+ " sheet_name=\"Cleaned_data\",\n",
+ " index=False,\n",
+ ")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/2_data_preparation/IRENA_ONG_cleaned.ipynb b/2_data_preparation/IRENA_ONG_cleaned.ipynb
new file mode 100644
index 000000000..9e53d74f4
--- /dev/null
+++ b/2_data_preparation/IRENA_ONG_cleaned.ipynb
@@ -0,0 +1,538 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "65bf3fb9",
+ "metadata": {},
+ "source": [
+ "# Cleaned- On-Grid Renewable Energy Statistics"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "77e87705",
+ "metadata": {},
+ "source": [
+ "Find the **`raw_data`** file on [Raw On-Grid: IRENA_Stats_extract_2025_H1_raw.xlsx](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx)\n",
+ "\n",
+ "This script prepares a cleaned version of the on-grid portion of the IRENA dataset, focusing on solar and renewable energy deployment in conflict-affected countries. "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "556007db",
+ "metadata": {},
+ "source": [
+ "\n",
+ "### **Selected Conflict-Affected Countries**: \n",
+ "Nine countries were chosen based on having experienced pre-conflict, active conflict, and in some cases post-conflict phases within the past 25 years: \n",
+ " **Syria, Iraq, Sudan, South Sudan, Ethiopia, Ukraine, Yemen, Libya, Afghanistan**\n",
+ "\n",
+ "Country Classification:\n",
+ "- **\"Conflict Countries\"**: Countries that experienced identifiable pre-conflict phases (all 9 selected countries: Syria, Iraq, Sudan, South Sudan, Ethiopia, Ukraine, Yemen, Libya, Afghanistan)\n",
+ "- **\"Comparison Countries\"**: Additional countries with mixed conflict/non-conflict status that did not experience pre-conflict phases, included for comparative analysis\n",
+ "\n",
+ "Key Selection Criteria: \n",
+ "- Time frame: Past 25 years\n",
+ "- Must include pre-conflict phase (primary distinguishing factor)\n",
+ "- Represent different stages of conflict progression (pre-conflict → active conflict → post-conflict where applicable)\n",
+ "\n",
+ " Based on this [**research document**](https://docs.google.com/document/d/1uxgQp8gesLcbfaCGLQAHn3Kgvyu2ZDGxgG-LSWEfq8s/edit?tab=t.0#heading=h.eeoohb5d7fi7) the phases of the 9 conflict countries were added."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bd63749b",
+ "metadata": {},
+ "source": [
+ "Find the **`Cleaned_data`** file on [Cleaned On-Grid: IRENA_ONGRIDStats.cleaned.xlsx](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "752d9c9f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "345b170c",
+ "metadata": {},
+ "source": [
+ "### Working on \"Country\" sheet only (relevant to research question)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "62c5b3f3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "raw_df = pd.read_excel(\n",
+ " \"../1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx\", sheet_name=\"Country\"\n",
+ ")\n",
+ "df = raw_df.copy()\n",
+ "\n",
+ "# Dropping both sheets (Region and Global) as they are not needed"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "1536df84",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Region Sub-region Country ISO3 code M49 code RE or Non-RE \\\n",
+ "0 Africa Northern Africa Algeria DZA 12 Total Non-Renewable \n",
+ "1 Africa Northern Africa Algeria DZA 12 Total Non-Renewable \n",
+ "2 Africa Northern Africa Algeria DZA 12 Total Non-Renewable \n",
+ "3 Africa Northern Africa Algeria DZA 12 Total Non-Renewable \n",
+ "4 Africa Northern Africa Algeria DZA 12 Total Non-Renewable \n",
+ "\n",
+ " Group Technology Technology Sub-Technology Producer Type Year \\\n",
+ "0 Fossil fuels Natural gas Natural gas On-grid electricity 2000 \n",
+ "1 Fossil fuels Natural gas Natural gas On-grid electricity 2001 \n",
+ "2 Fossil fuels Natural gas Natural gas On-grid electricity 2002 \n",
+ "3 Fossil fuels Natural gas Natural gas On-grid electricity 2003 \n",
+ "4 Fossil fuels Natural gas Natural gas On-grid electricity 2004 \n",
+ "\n",
+ " Electricity Installed Capacity (MW) \n",
+ "0 5459.01 \n",
+ "1 5455.50 \n",
+ "2 5891.01 \n",
+ "3 6013.24 \n",
+ "4 6305.24 \n"
+ ]
+ }
+ ],
+ "source": [
+ "df.head()\n",
+ "print(df.head())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "208e53ca",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(38381, 12)"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Display the shape of the DataFrame (number of rows and columns)\n",
+ "df.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "3138620a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "RangeIndex: 38381 entries, 0 to 38380\n",
+ "Data columns (total 12 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Region 38381 non-null object \n",
+ " 1 Sub-region 38381 non-null object \n",
+ " 2 Country 38381 non-null object \n",
+ " 3 ISO3 code 38381 non-null object \n",
+ " 4 M49 code 38381 non-null int64 \n",
+ " 5 RE or Non-RE 38381 non-null object \n",
+ " 6 Group Technology 38381 non-null object \n",
+ " 7 Technology 38381 non-null object \n",
+ " 8 Sub-Technology 38381 non-null object \n",
+ " 9 Producer Type 38381 non-null object \n",
+ " 10 Year 38381 non-null int64 \n",
+ " 11 Electricity Installed Capacity (MW) 38381 non-null float64\n",
+ "dtypes: float64(1), int64(2), object(9)\n",
+ "memory usage: 3.5+ MB\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Display information about the DataFrame, including column data types and non-null values\n",
+ "df.info()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "eb5bc091",
+ "metadata": {},
+ "source": [
+ "### Add a \"Classification\" column for conflict countries to be filtered"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "cc7366c4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "conflict_countries = [\n",
+ " \"Syrian Arab Republic (the)\",\n",
+ " \"Iraq\",\n",
+ " \"Sudan (the)\",\n",
+ " \"South Sudan\",\n",
+ " \"Ethiopia\",\n",
+ " \"Ukraine\",\n",
+ " \"Yemen\",\n",
+ " \"Libya\",\n",
+ " \"Afghanistan\",\n",
+ "]\n",
+ "# Filter out conflict countries that contain full cycle data of ocnflict in the past 25 years"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "9d350acc",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Country
\n",
+ "
Classification
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
5
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
6
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
7
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
8
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ "
\n",
+ "
9
\n",
+ "
Algeria
\n",
+ "
Comparison Countries
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Country Classification\n",
+ "0 Algeria Comparison Countries\n",
+ "1 Algeria Comparison Countries\n",
+ "2 Algeria Comparison Countries\n",
+ "3 Algeria Comparison Countries\n",
+ "4 Algeria Comparison Countries\n",
+ "5 Algeria Comparison Countries\n",
+ "6 Algeria Comparison Countries\n",
+ "7 Algeria Comparison Countries\n",
+ "8 Algeria Comparison Countries\n",
+ "9 Algeria Comparison Countries"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df[\"Classification\"] = df[\"Country\"].apply(\n",
+ " lambda x: \"Conflict Countries\"\n",
+ " if x in conflict_countries\n",
+ " else \"Comparison Countries\"\n",
+ ")\n",
+ "\n",
+ "\n",
+ "df[[\"Country\", \"Classification\"]].head(10)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "1c94b7c7",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Classification column added.\n",
+ " Country Classification\n",
+ "0 Algeria Comparison Countries\n",
+ "148 Egypt Comparison Countries\n",
+ "380 Libya Conflict Countries\n",
+ "454 Morocco Comparison Countries\n",
+ "688 Sudan (the) Conflict Countries\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\" Classification column added.\")\n",
+ "print(df[[\"Country\", \"Classification\"]].drop_duplicates().head(5))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f37790b6",
+ "metadata": {},
+ "source": [
+ "### Filtered out the years that arent needed \n",
+ "_**Project Scope : 2000 - 2024**_"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "cc511eb4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "[2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013\n",
+ " 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024]\n"
+ ]
+ }
+ ],
+ "source": [
+ "df = df[(df[\"Year\"] >= 2000) & (df[\"Year\"] <= 2024)]\n",
+ "print(df[\"Year\"].unique())"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "17eb250e",
+ "metadata": {},
+ "source": [
+ "### Filled in missing (null) values if any"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "01548476",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df[\"Electricity Installed Capacity (MW)\"] = df[\n",
+ " \"Electricity Installed Capacity (MW)\"\n",
+ "].fillna(0)\n",
+ "# Fill missing numbers (e.g., if electricity capacity is missing, we assume 0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "678bb6f4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df[\"Producer Type\"] = df[\"Producer Type\"].fillna(\"Unknown\")\n",
+ "df[\"Technology\"] = df[\"Technology\"].fillna(\"Unknown\")\n",
+ "df[\"Sub-Technology\"] = df[\"Sub-Technology\"].fillna(\"Unknown\")\n",
+ "# Fill missing text (e.g., unknown technology or producer type)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "23adf408",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Empty DataFrame\n",
+ "Columns: [Country, Year, Technology, Sub-Technology, Producer Type, Electricity Installed Capacity (MW)]\n",
+ "Index: []\n"
+ ]
+ }
+ ],
+ "source": [
+ "preview = df[\n",
+ " (df[\"Electricity Installed Capacity (MW)\"] == 0)\n",
+ " | (df[\"Producer Type\"] == \"Unknown\")\n",
+ " | (df[\"Technology\"] == \"Unknown\")\n",
+ " | (df[\"Sub-Technology\"] == \"Unknown\")\n",
+ "]\n",
+ "\n",
+ "print(\n",
+ " preview[\n",
+ " [\n",
+ " \"Country\",\n",
+ " \"Year\",\n",
+ " \"Technology\",\n",
+ " \"Sub-Technology\",\n",
+ " \"Producer Type\",\n",
+ " \"Electricity Installed Capacity (MW)\",\n",
+ " ]\n",
+ " ].head(10)\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ff4d3feb",
+ "metadata": {},
+ "source": [
+ "### Dropped the \"M49 Code\" column\n",
+ "*This column isn't useful for our solar conflict-focused analysis*"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "751f33ab",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df.drop(columns=[\"M49 code\"], inplace=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "654634a3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Index(['Region', 'Sub-region', 'Country', 'ISO3 code', 'RE or Non-RE',\n",
+ " 'Group Technology', 'Technology', 'Sub-Technology', 'Producer Type',\n",
+ " 'Year', 'Electricity Installed Capacity (MW)', 'Classification'],\n",
+ " dtype='object')\n"
+ ]
+ }
+ ],
+ "source": [
+ "df.columns\n",
+ "print(df.columns)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fadd5b19",
+ "metadata": {},
+ "source": [
+ "### Save the cleaned version \n",
+ "On **`1_datasets`** folder on **`cleaned_data`** folder named **IRENA_ONGRIDStats.cleaned**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "cd1a4c71",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "df.to_excel(\n",
+ " \"../1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx\",\n",
+ " sheet_name=\"IRENA_ONGRIDStats.cleaned\",\n",
+ " index=False,\n",
+ ")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/2_data_preparation/README.md b/2_data_preparation/README.md
index 58add43a2..f54ae1b40 100644
--- a/2_data_preparation/README.md
+++ b/2_data_preparation/README.md
@@ -1 +1,110 @@
# Data Preparation
+
+
+## On-Grid Data Preparation Script
+
+This script processes the **on-grid electricity data** from the IRENA dataset.
+
+### Input
+
+- **File**: [IRENA_Stats_extract_2025_H1_raw.xlsx](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx)
+ - **Sheet**: `Country`
+ - **Path**: `1_datasets/raw_data/`
+
+### Process
+
+- Added `Classification` column by filtering conflict-affected countries.
+- Fills missing values in key columns
+- Filtered out years according to project scope (2010 - 2024)
+- Drops unused column `M49 code`
+
+#### **Selected Conflict-Affected Countries**
+
+Nine countries were chosen based on having experienced pre-conflict, active conflict, and in some cases post-conflict phases within the past 25 years:
+ **Syria, Iraq, Sudan, South Sudan, Ethiopia, Ukraine, Yemen, Libya, Afghanistan**
+
+Country Classification:
+- **"Conflict Countries"**: Countries that experienced identifiable pre-conflict phases (all 9 selected countries: Syria, Iraq, Sudan, South Sudan, Ethiopia, Ukraine, Yemen, Libya, Afghanistan)
+- **"Comparison Countries"**: Additional countries with mixed conflict/non-conflict status that did not experience pre-conflict phases, included for comparative analysis
+
+Key Selection Criteria:
+- Time frame: Past 25 years
+- Must include pre-conflict phase (primary distinguishing factor) to see the solar adoption increases or decreases when active conflict.
+- Represent different stages of conflict progression (pre-conflict → active conflict → post-conflict where applicable)
+
+### Output
+
+1. **File**: `IRENA_ONGRIDStats.cleaned.xlsx`
+ - **Sheet**: `Cleaned_OnGrid_Data`
+ - **Path**: `1_datasets/cleaned_data/`
+ - **File Link**: [IRENA_ONGRIDStats.cleaned.xlsx](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx)
+
+---
+
+## UN Comtrade data preparation script
+
+1. **Input dataset**
+ - **File**: `../1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx`
+ - **Loaded as**: `raw_df` (and copied to `df`)
+
+2. **Processing steps**
+ - **Drop unneeded columns**: Drop unneeded columns: a long list of technical
+ fields (e.g. frequency codes, partner metadata, alternative quantity fields,
+ legacy flags, etc.) is removed in one go.
+ - **Rename columns**:
+
+ | original | new name |
+ | -------------- | ---------------------- |
+ | `refYear` | `Year` |
+ | `\tISO_Code` | `Country_Code` |
+ | `reporterDesc` | `Country` |
+ | `cmdCode` | `Product_Code` |
+ | `cmdDesc` | `Product_Description` |
+ | `netWgt` | `Net_Weight_kg` |
+ | `primaryValue` | `Value_USD` |
+
+ - **Handle missing values**: fill missing `Net_Weight_kg`
+ entries with the column mean.
+ - **Inspect**: prints `.shape`, `.info()`, `.isna().sum()`,
+ duplicate counts, and random samples to verify cleaning.
+
+3. **Output dataset**
+
+- **Cleaned data** written to Excel at:
+
+`../1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx`
+
+- No other files are created or saved under `/1_datasets`.
+
+---
+
+### Off-Grid data preparation script
+
+1. **Input dataset**
+ - **File**: ["IRENA_OFGStats.raw"](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx)
+ - **Sheet**: `data`
+ - **Path**: `1_datasets/raw_data/`
+
+2. **Process**
+
+ - Dropped irrelevant columns.
+ - Inspected the data to the its shape and whether it has null values or not.
+ - Filled the null values.
+ - Added a conflict status column.
+ - removed any row with `Bioenergy` technology in it.
+ - Noticed that there are different units for the value columns, which are
+ `1000 m3, thousands, MW`, the 1000 m3 unit was primarily used for bioenergy
+ group technology which is irrelevant to our study so I just deleted any
+ observation that its group technology is Bioenergy. Regarding the other unit
+ which is `thousands`; it mainly measure the number of people using/utilizing
+ that technology and `mw` is the unit of the power produced by a technology
+ so I had to seperate the dataset into two different ones according to the unit.
+
+3. **Output datasets**
+
+- **File**: `IRENA_OFGStats_mw.cleaned.xlsx`
+ - **Sheet**: `Cleaned_Data`
+ - **Path**: `1_datasets/cleaned_data/`
+- **File**: `IRENA_OFGStats_thousands.cleaned.xlsx`
+ - **Sheet**: `Cleaned_Data`
+ - **Path**: `1_datasets/cleaned_data/`
diff --git a/2_data_preparation/UN_comtrade_data_cleaning.ipynb b/2_data_preparation/UN_comtrade_data_cleaning.ipynb
new file mode 100644
index 000000000..867cba510
--- /dev/null
+++ b/2_data_preparation/UN_comtrade_data_cleaning.ipynb
@@ -0,0 +1,1311 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "c7925dc6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Import necessary libraries\n",
+ "import pandas as pd\n",
+ "import numpy as np"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "8f11f090",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Filter for Periodical Conflict countries\n",
+ "periodical_conflict_df = df[df[\"Conflict_Group\"] == \"Periodical Conflict\"].copy()\n",
+ "\n",
+ "# Get a list of unique countries with periodical conflict\n",
+ "periodical_countries = periodical_conflict_df[\"Country\"].unique()\n",
+ "\n",
+ "# Determine a suitable figure size based on the number of countries\n",
+ "n_countries = len(periodical_countries)\n",
+ "fig_height = n_countries * 4 # Adjust multiplier as needed\n",
+ "fig, axes = plt.subplots(n_countries, 1, figsize=(10, fig_height), sharex=True)\n",
+ "axes = axes.flatten() # Flatten in case there's only one country\n",
+ "\n",
+ "for i, country in enumerate(periodical_countries):\n",
+ " country_df = periodical_conflict_df[\n",
+ " periodical_conflict_df[\"Country\"] == country\n",
+ " ].copy()\n",
+ "\n",
+ " # Group by year and sum the Value_USD\n",
+ " yearly_value = country_df.groupby(\"Year\")[\"Value_USD\"].sum().reset_index()\n",
+ "\n",
+ " # Plotting\n",
+ " ax = axes[i]\n",
+ " sns.lineplot(data=yearly_value, x=\"Year\", y=\"Value_USD\", ax=ax)\n",
+ " ax.set_title(f\"Total Value USD Over Time in {country}\")\n",
+ " ax.set_ylabel(\"Total Value USD\")\n",
+ " ax.grid(True)\n",
+ "\n",
+ " # Highlight conflict years\n",
+ " conflict_years_list = [\n",
+ " year\n",
+ " for year, is_conflict in zip(country_df[\"Year\"], country_df[\"Conflict_Year\"])\n",
+ " if is_conflict\n",
+ " ]\n",
+ " for year in conflict_years_list:\n",
+ " ax.axvspan(\n",
+ " year - 0.5,\n",
+ " year + 0.5,\n",
+ " color=\"red\",\n",
+ " alpha=0.3,\n",
+ " label=\"Conflict Year\" if year == conflict_years_list[0] else \"\",\n",
+ " )\n",
+ "\n",
+ " if i == 0: # Add legend only to the first plot to avoid redundancy\n",
+ " ax.legend()\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "41a3fb14",
+ "metadata": {},
+ "source": [
+ " Continuous Conflicts"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "4a1b94e6",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Filter for Continuous Conflict countries\n",
+ "continuous_conflict_df = df[df[\"Conflict_Group\"] == \"Continuous Conflict\"].copy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "275a565e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAA90AAAx2CAYAAAASXZpCAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzde3zO9f/H8ee183kYO2CZ03I+FbLkOBQtfBNSzalQSlKUjggJ+aLCtwNCVM6RnCO+kSFKplhbjiOnzWabHT6/P/bd9XPZwXBdds0e99vtun273p/35/1+fa69t6/X9X5/3h+TYRiGAAAAAACA1TkUdQAAAAAAANypSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAAAAsBGSbgAAAAAAbISkGwAAAAAAGyHpBgAAAADARki6AaAImEymQr22bNly3bbGjx+vFStW3HI8o0aNyvf4ypUrZTKZNGvWrHzrbNiwQSaTSVOmTCl0v3369FFISMgNRGo9JpNJzz//fJ7HlixZkuvzNwxDX331lR544AH5+/vLzc1NFStWVIcOHfTZZ5/lajvn5ejoqNKlS6t+/foaOHCgdu7ceUNxJicna8KECWrYsKG8vLzk6empBg0aaPz48UpOTr7h67aVLVu2FHpcS1JISIj69OlTtEFfZe7cuTKZTIqLi7N62+np6QoMDJTJZNKSJUvyrPPLL7+oZcuW8vX1lclk0tSpU2+oj5CQED388MNWiPbGjRo1yvxzLazLly9r1KhRhfobBwDFnVNRBwAAJdGOHTss3r/77rv64YcftHnzZovyWrVqXbet8ePHq1u3burSpYs1Q7TQqVMnBQYGavbs2Ro0aFCedebMmSNnZ2c99dRTNoujKI0cOVLvv/++nnnmGQ0fPlze3t76+++/tXnzZq1cuVJPP/20Rf1u3brp5ZdflmEYSkxM1IEDBzRv3jx98sknGjJkiKZNm3bdPk+fPq3w8HDFxMRoyJAhmjhxoiRp8+bNGjt2rBYtWqSNGzcqICDAJtd8Ixo1apRrXHft2lVVq1bV5MmTc9Vfvny5fHx8bld419WpUyft2LFDQUFBVm979erVOn36tCTp888/V7du3XLV6devn5KTk/XVV1+pdOnSRfZl1M14+umn9eCDD97QOZcvX9bo0aMlSa1atbJBVABgP0i6AaAI3HfffRbvy5UrJwcHh1zl9sLJyUmRkZGaOHGiDhw4oDp16lgcv3jxopYvX65HHnlE5cqVK6IobSclJUVTp05VZGSkPvnkE4tjffr0UVZWVq5zAgICLH6eHTp00NChQzVgwABNnz5dNWrU0LPPPltgv5GRkTp06JB++OEHNW/e3Fzerl07derUSa1bt1bv3r21du3aW7zCG5OSkiJ3d3eLMh8fn1zj19XVVaVKlcpzXDds2NCmMd6ocuXK2Wzsfv7553JxcVHLli21fv16HT9+XBUrVrSoc+DAAT3zzDN66KGHbBKDLVWsWDHX9QAA/h/LywHATp0/f17PPfecKlSoIBcXF1WpUkVvvPGG0tLSzHVMJpOSk5P1xRdfmJfu5swa/fPPP3ruuedUq1YteXl5yd/fX23atNG2bdtuKp7+/ftLyp7RvtaiRYuUmpqqfv36SZI+/vhjtWjRQv7+/vL09FTdunU1ceJEpaenF9hHXFycTCaT5s6dm+tYXkvgDx8+rF69esnf31+urq6qWbOmPv7445u6voIkJycrLS0t31lQB4fC/d+po6OjPvroI5UtW1aTJk0qsO7u3bu1fv169e/f3yLhztG8eXP169dP69at0549eyRlJ7IPPPBArrqZmZmqUKGC/vWvf5nLrly5orFjx6pGjRpydXVVuXLl1LdvX/3zzz8W5+YsW162bJkaNmwoNzc38wzlrbh2eXnO8vSFCxfq1VdfVVBQkLy8vBQREaHTp0/r0qVLGjBggMqWLauyZcuqb9++SkpKsmjTMAzNmDFDDRo0kLu7u0qXLq1u3brpr7/+um48eS0vb9WqlerUqaOoqCg98MAD8vDwUJUqVTRhwoQ8v2jJy8mTJ7V27VpFRERo+PDhysrKshjfOf1mZGRo5syZFkvwJWn79u1q1qyZ3NzcVKFCBb311lv67LPP8l0Kv3btWjVq1Eju7u6qUaOGZs+ebXG8sH8Xcn4XJ0+erClTpqhy5cry8vJSs2bNct0ikdfy8s2bN6tVq1by8/OTu7u77rrrLj366KO6fPmy4uLizF9wjB492nzNOePhyJEj6tu3r6pXry4PDw9VqFBBERER+u233yz6yBkzixYt0htvvKHy5cvLx8dH4eHh+uOPPwr18wGA24GkGwDsUGpqqlq3bq158+Zp2LBh+u677/Tkk09q4sSJFonTjh075O7uro4dO2rHjh3asWOHZsyYISk7aZekd955R999953mzJmjKlWqqFWrVjd1H2VoaKiaN2+uBQsW5Eqe58yZowoVKqhDhw6SpJiYGPXq1Uvz58/X6tWr1b9/f02aNEkDBw68yU8kt4MHD6px48Y6cOCAPvjgA61evVqdOnXSkCFDrJIUXq1s2bKqVq2aZsyYoSlTpujQoUMyDOOm2nJ3d1d4eLhiY2N1/PjxfOtt2LBBkgq8bSDnWE7dvn37avv27Tp8+LBFvfXr1+vkyZPq27evJCkrK0udO3fWhAkT1KtXL3333XeaMGGCNmzYoFatWiklJcXi/L1792r48OEaMmSI1q5dq0cfffRGL7vQXn/9dZ05c0Zz587VBx98oC1btujxxx/Xo48+Kl9fXy1atEgjRozQ/Pnz9frrr1ucO3DgQA0dOlTh4eFasWKFZsyYod9//11hYWHm5d03Kj4+Xk888YSefPJJffvtt3rooYc0cuRILViwoFDnz507V5mZmerXr5/Cw8NVqVIlzZ492zx+cpa1S9m3JOT8HkvSr7/+qnbt2uny5cv64osvNGvWLO3du1fjxo3Ls6/9+/fr5Zdf1ksvvaSVK1eqXr166t+/v3788UdznRv9u/Dxxx9rw4YNmjp1qr788kslJyerY8eOSkhIyPea4+Li1KlTJ7m4uGj27Nlau3atJkyYIE9PT125ckVBQUHm1Rn9+/c3X/Nbb70lKfuLCj8/P02YMEFr167Vxx9/LCcnJzVt2jTPZPr111/X33//rc8++0yffPKJDh8+rIiICGVmZl7vxwMAt4cBAChyvXv3Njw9Pc3vZ82aZUgyvvnmG4t677//viHJWL9+vbnM09PT6N2793X7yMjIMNLT0422bdsaXbt2tTgmyXjnnXeu28acOXMMScayZcvMZQcOHDAkGW+88Uae52RmZhrp6enGvHnzDEdHR+P8+fPmY7179zYqVapkfh8bG2tIMubMmZOrnWtj7NChg1GxYkUjISHBot7zzz9vuLm5WfSTF0nG4MGD8zy2ePFiQ5Lxww8/mMt27dpl3HXXXYYkQ5Lh7e1tPPzww8a8efOMrKysQrdtGIbx6quvGpKMn3/+Od86gwYNMiQZhw4dyrdOdHS0Icl49tlnDcMwjLNnzxouLi7G66+/blGve/fuRkBAgJGenm4YhmEsWrTIkGQsXbrUol5UVJQhyZgxY4a5rFKlSoajo6Pxxx9/5BtHfipVqmR06tQp32NXj9sffvjBkGRERERY1Bs6dKghyRgyZIhFeZcuXYwyZcqY3+/YscOQZHzwwQcW9Y4dO2a4u7sbI0aMKDDWnLEdGxtrLmvZsmWeP6datWoZHTp0KLA9wzCMrKwso1q1akaFChWMjIwMwzAM45133jEkGZs2bbKom9eYeeyxxwxPT0/jn3/+MZdlZmYatWrVyhVrpUqVDDc3N+Pvv/82l6WkpBhlypQxBg4cmG+M+f1dyPldrFu3rjl2w8j+PZBkLFq0yFyWc005lixZYkgy9u3bl2+///zzT6H/7mRkZBhXrlwxqlevbrz00kvm8pwx07FjR4v633zzjSHJ2LFjx3XbBoDbgZnu6/jxxx8VERGh8uXLy2Qy3fAOwTlLrq59eXp62iZgAHeEzZs3y9PTM9eGSznLLzdt2lSodmbNmqVGjRrJzc1NTk5OcnZ21qZNmxQdHX1TcXXv3l3e3t4WS1Znz54tk8lknkWVsndifuSRR+Tn5ydHR0c5OzsrMjJSmZmZ+vPPP2+q76ulpqZq06ZN6tq1qzw8PJSRkWF+dezYUampqTe8S/j1NG7cWEeOHNHatWv1+uuvq1mzZtq0aZMiIyP1yCOP3NDM943ULUw7OUt7/fz8FBERoS+++MK8/PnChQtauXKlIiMj5eSUvZXL6tWrVapUKUVERFh8dg0aNFBgYGCuGc969eopNDTUKjFfz7U7cNesWVNS9ozwteXnz583LzFfvXq1TCaTnnzySYtrCgwMVP369W96l+zAwEA1adLEoqxevXr6+++/r3vu1q1bdeTIEfXu3VuOjo6SslcjmEymXMu+8zu/TZs2Klu2rLnMwcFB3bt3z7N+gwYNdNddd5nfu7m5KTQ0NFesN/J3oVOnTubYpexrl1Tg9Tdo0EAuLi4aMGCAvvjii0It779aRkaGxo8fr1q1asnFxUVOTk5ycXHR4cOH84zxkUcesXhfmBgB4HYi6b6O5ORk1a9fXx999NFNnf/KK6/o1KlTFq9atWrpscces3KkAO4k586dMz9i6Gr+/v5ycnLSuXPnrtvGlClT9Oyzz6pp06ZaunSpdu7cqaioKD344IO5lg8XloeHh3r27Km1a9cqPj5eGRkZWrBggVq2bKmqVatKko4ePaoHHnhAJ06c0LRp07Rt2zZFRUWZ77W+2b6vdu7cOWVkZOjDDz+Us7Ozxatjx46SpLNnzxbYhqOjY77LTzMyMiRJzs7OFuXOzs7q0KGDxo0bp3Xr1unYsWNq1aqVVq9ere+//77Q8eckA+XLl8+3Tk7yFBsbm2+dnHt6g4ODzWX9+vXTiRMnzEvOFy1apLS0NIv7p0+fPq2LFy/KxcUl1+cXHx+f67OzxY7e+SlTpozFexcXlwLLU1NTJWVfk2EYCggIyHVNO3fuvO54yI+fn1+uMldX10KN488//1xS9i7uFy9e1MWLF+Xr66vmzZtr6dKlunjxYoHnnzt3Ls+d6fPbrb4wsd7o34Vr23R1dZVU8O9x1apVtXHjRvn7+2vw4MGqWrWqqlatWqgd+yVp2LBheuutt9SlSxetWrVKP//8s6KiolS/fn2rxQgAtxO7l1/HQw89VOBOoleuXNGbb76pL7/8UhcvXlSdOnX0/vvvmzcy8vLykpeXl7n+/v37dfDgwQKfdQsAfn5++vnnn2UYhkXifebMGWVkZFjMfOVnwYIFatWqlWbOnGlRfunSpVuKrX///vr00081b948hYaG6syZM/rggw/Mx1esWKHk5GQtW7ZMlSpVMpfv27fvum27ublJksVmcZJyfclQunRpOTo66qmnntLgwYPzbKty5coF9hUQEKATJ07keSyn/HqP4vLz89PQoUO1ZcsWHThwwJzwFyQlJUUbN25U1apVC9zxuV27dnr99de1YsWKfB/HlLP6ql27duayDh06qHz58pozZ446dOigOXPmqGnTphaPnytbtqz8/Pzy3fXc29vb4v2NPoO5KJQtW1Ymk0nbtm0zJ11Xy6vMlhISErR06VJJ2ask8rJw4UI999xz+bbh5+eX573o8fHxNx2Xrf4uXOuBBx7QAw88oMzMTO3evVsffvihhg4dqoCAAPXs2fO6MUZGRmr8+PEW5WfPnlWpUqWsGicA3A4k3beob9++iouL01dffaXy5ctr+fLlevDBB/Xbb7+pevXquep/9tlnCg0NzXN3WQDI0bZtW33zzTdasWKFunbtai6fN2+e+XiO/GbdTCZTrkTj119/1Y4dOyxmRm9U06ZNVadOHc2ZM0ehoaHy9fW12FgrJ0G7um/DMPTpp59et+2AgAC5ubnp119/tShfuXKlxXsPDw+1bt1av/zyi+rVq2ee9bwR4eHhWrZsmf755x+LR0UZhqHFixcrJCRE1apVkySlp6crMTExz5nEnOWuBc1a58jMzNTzzz+vc+fO6b333iuw7r333qv27dvr888/11NPPaX777/f4vj27ds1e/ZsPfjgg7rnnnvM5TlfRkydOlXbtm3T7t279Z///Mfi3IcfflhfffWVMjMz1bRp0+vGXRw8/PDDmjBhgk6cOJHv8uvbaeHChUpJSdG7776b5+7zjz32mGbPnl1g0t2yZUutWbNGZ8+eNX/RlpWVpcWLF990XLb6u5AfR0dHNW3aVDVq1NCXX36pvXv3qmfPngXORucV43fffacTJ06YfycBoDgh6b4FMTExWrRokY4fP27+x9Yrr7yitWvXas6cObm+oU1LS9OXX36p1157rSjCBVCMREZG6uOPP1bv3r0VFxenunXravv27Ro/frw6duyo8PBwc926detqy5YtWrVqlYKCguTt7a27775bDz/8sN5991298847atmypf744w+NGTNGlStXNi+fvln9+vXTsGHD9Mcff2jgwIEWz2xu166dXFxc9Pjjj2vEiBFKTU3VzJkzdeHCheu2m3NP7uzZs1W1alXVr19fu3bt0sKFC3PVnTZtmpo3b64HHnhAzz77rEJCQnTp0iUdOXJEq1at0ubNmwvs6+2339aqVavUtGlTvfbaa6pevbri4+P16aefKioqSt988425bkJCgkJCQvTYY48pPDxcwcHBSkpK0pYtWzRt2jTVrFnTYld5KXu5886dO2UYhi5duqQDBw5o3rx52r9/v1566SU988wz1/085s2bp/DwcLVv315Dhgwxf9myefNmTZs2TTVq1Mjz8Wr9+vXT+++/r169esnd3V09evSwON6zZ099+eWX6tixo1588UU1adJEzs7OOn78uH744Qd17tzZ4sue4uD+++/XgAED1LdvX+3evVstWrSQp6enTp06pe3bt6tu3brXfS66NX3++ecqXbq0XnnlFfMKjqtFRkZqypQp2r9/v+rXr59nG2+88YZWrVqltm3b6o033pC7u7tmzZql5ORkSYV/VN3VbPl3IcesWbO0efNmderUSXfddZdSU1PN97Dn/O3y9vZWpUqVtHLlSrVt21ZlypRR2bJlzY+omzt3rmrUqKF69eppz549mjRpEs8CB1B8Fd0ebsWPJGP58uXm9zm7Y3p6elq8nJycjO7du+c6f+HChYaTk5Nx6tSp2xg1gOLg2t3LDcMwzp07ZwwaNMgICgoynJycjEqVKhkjR440UlNTLert27fPuP/++w0PDw9DktGyZUvDMAwjLS3NeOWVV4wKFSoYbm5uRqNGjYwVK1bk2jHcMAq/e3mOf/75x3BxcTEkGbt27cp1fNWqVUb9+vUNNzc3o0KFCsbw4cON77//PteO4HnFkpCQYDz99NNGQECA4enpaURERBhxcXF5xhgbG2v069fPqFChguHs7GyUK1fOCAsLM8aOHVuo6zh8+LDx5JNPmj/jUqVKGe3bt8+1s3RaWpoxefJk46GHHjLuuusuw9XV1XBzczNq1qxpjBgxwjh37pxFff1vh3NJhoODg+Hj42PUrVvXGDBgwA3vqJyUlGSMHz/eaNCggeHh4WF4eHgY9erVM8aOHWskJSXle15YWJghyXjiiSfyPJ6enm5MnjzZ/HPy8vIyatSoYQwcONA4fPiwuV5BO5Bfz83sXr548WKLejm7ikdFRVmU5+yYffXO3oZhGLNnzzaaNm1qeHp6Gu7u7kbVqlWNyMhIY/fu3QXGmt/u5bVr185VN69xe7X9+/cbkoyhQ4fmW+fQoUOGJOOFF14wDCP/He+3bdtmNG3a1HB1dTUCAwON4cOHm59icPHiRXO9/D7rli1bmv8mGEbh/y7k7F4+adKkXG1e+7t47e7lO3bsMLp27WpUqlTJcHV1Nfz8/IyWLVsa3377rUU7GzduNBo2bGi4uroakszj4cKFC0b//v0Nf39/w8PDw2jevLmxbdu2XNeS35gp6CkIAFAUTIZhpS1USwCTyaTly5ebn4v69ddf64knntDvv/9usbOnlH0vd2BgoEVZ27Zt5ePjo+XLl9+ukAEAwB2mffv2iouLs8qTAAAAtsfy8lvQsGFDZWZm6syZM9e9Rzs2NlY//PCDvv3229sUHQAAKO6GDRumhg0bKjg4WOfPn9eXX36pDRs2mHdGBwDYP5Lu60hKStKRI0fM72NjY7Vv3z6VKVNGoaGheuKJJxQZGakPPvhADRs21NmzZ7V582bVrVvXYhfb2bNnKygoqMCd0AEAAK6WmZmpt99+W/Hx8TKZTKpVq5bmz5+vJ598sqhDAwAUEsvLr2PLli1q3bp1rvLevXtr7ty5Sk9P19ixYzVv3jydOHFCfn5+atasmUaPHq26detKyt5ptFKlSoqMjNS4ceNu9yUAAAAAAIoISTcAAAAAADZy48+aAAAAAAAAhULSDQAAAACAjbCRWh6ysrJ08uRJeXt7y2QyFXU4AAAAAAA7YxiGLl26pPLly8vBIf/5bJLuPJw8eVLBwcFFHQYAAAAAwM4dO3ZMFStWzPc4SXcevL29JWV/eD4+PkUcTf7S09O1fv16tW/fXs7OzkUdDnBDGL8ozhi/KM4YvyXIrl1S376Si4vk7l60saSkSFeuSHPmSE2a3FQTjF3Ym8TERAUHB5vzx/yQdOchZ0m5j4+P3SfdHh4e8vHx4Q8Pih3GL4ozxi+KM8ZvCeLpKTk4SF5eUlH/m9bRUbp4MTumm4yFsQt7db1bktlIDQAAAAAAGyHpBgAAAADARki6AQAAAACwEe7pBgAAAFDiZWZmKj09vajDgB1xdnaWo6PjLbdD0g0AAACgxDIMQ/Hx8bp48WJRhwI7VKpUKQUGBl53s7SCkHQDAAAAKLFyEm5/f395eHjcUnKFO4dhGLp8+bLOnDkjSQoKCrrptki6AQAAAJRImZmZ5oTbz8+vqMOBnXH/3/Ptz5w5I39//5teas5GagAAAABKpJx7uD08PIo4EtirnLFxK/f7k3QDAAAAKNFYUo78WGNskHQDAAAAAGAjJN0AAAAAcK2UFCkh4fa9UlKK+orzZRiGBgwYoDJlyshkMmnfvn1q1aqVhg4daq4TEhKiqVOnFlmM9oyN1AAAAADgaikp0sqV0oULt6/P0qWlzp2l/23eVRjx8fEaN26cvvvuO504cUL+/v5q0KCBhg4dqrZt21ottLVr12ru3LnasmWLqlSporJly+aqExUVJU9Pz0K1N3fuXA0dOrTAx7S9++67mjFjhn7//XeVKVPGXL5//341btxYixcvVufOnW/4WooCSTcAAAAAXO3KleyE291dcnOzfX+pqdn9XblS6KQ7Li5O999/v0qVKqWJEyeqXr16Sk9P17p16zR48GAdOnTIauHFxMQoKChIYWFh+dYpV66c1fqTpJEjR2rVqlUaPHiwFi1aJCl7M7M+ffqoV69eNkm4r1y5IhcXF6u3y/JyAAAAAMiLm5vk6Wn7100k9s8995xMJpN27dqlbt26KTQ0VLVr19awYcO0c+dOc72jR4+qc+fO8vLyko+Pj7p3767Tp0+bj48aNUoNGjTQ/PnzFRISIl9fX/Xs2VOXLl2SJPXp00cvvPCCjh49KpPJpJCQkDzjuXZ5+cWLFzVgwAAFBATIzc1NderU0erVq7Vlyxb17dtXCQkJMplMMplMGjVqVK72nJycNG/ePK1cuVJLliyRJI0bN07nz5/X9OnTlZCQoAEDBsjf318+Pj5q06aN9u/fbz4/JiZGnTt3VkBAgLy8vNS4cWNt3LgxV8xjx45Vnz595Ovrq2eeeeZGfwyFQtINAAAAAMXI+fPntXbtWg0ePDjPJd2lSpWSlH0vdpcuXXT+/Hlt3bpVGzZsUExMjHr06GFRPyYmRitWrNDq1au1evVqbd26VRMmTJAkTZs2TWPGjFHFihV16tQpRUVFXTe+rKwsPfTQQ/rpp5+0YMECHTx4UBMmTJCjo6PCwsI0depU+fj46NSpUzp16pReeeWVPNupUaOGxo8fr2effVbr1q3Te++9pzlz5sjb21udOnVSfHy81qxZoz179qhRo0Zq27atzp8/L0lKSkpSx44dtXHjRv3yyy/q0KGDIiIidPToUYs+Jk2apDp16mjPnj166623rnttN4Pl5QAAAABQjBw5ckSGYahGjRoF1tu4caN+/fVXxcbGKjg4WJI0f/581a5dW1FRUWrcuLGk7CR57ty58vb2liQ99dRT2rRpk8aNGydfX195e3vL0dFRgYGBhYpv48aN2rVrl6KjoxUaGipJqlKlivm4r6+vTCZTodp78cUXtXLlSnXs2FEvvPCC2rRpo82bN+u3337TmTNn5OrqKkmaPHmyVqxYoSVLlmjAgAGqX7++6tevb25n7NixWr58ub799ls9//zz5vI2bdrkm/RbCzPdAAAAAFCMGIYh6frPkI6OjlZwcLA54ZakWrVqqVSpUoqOjjaXhYSEmBNuSQoKCtKZM2duOr59+/apYsWK5oT7VphMJr3xxhvKysrSm2++KUnas2ePkpKS5OfnJy8vL/MrNjZWMTExkqTk5GSNGDHCfL1eXl46dOhQrpnue++995ZjvB5mugEAAACgGKlevbpMJpOio6PVpUuXfOsZhpFnYn5tubOzs8Vxk8mkrKysm47P/QZ2YC8MJycni//NyspSUFCQtmzZkqtuztL64cOHa926dZo8ebKqVasmd3d3devWTVeuXLGoX9gd128FM90AAAAAUIyUKVNGHTp00Mcff6zk5ORcx3MexVWrVi0dPXpUx44dMx87ePCgEhISVLNmTZvFV69ePR0/flx//vlnnsddXFyUmZl50+03atRI8fHxcnJyUrVq1SxeOY8z27Ztm/r06aOuXbuqbt26CgwMVFxc3E33eStIugEAAACgmJkxY4YyMzPVpEkTLV26VIcPH1Z0dLSmT5+uZs2aSZLCw8NVr149PfHEE9q7d6927dqlyMhItWzZ0qbLqlu2bKkWLVro0Ucf1YYNGxQbG6vvv/9ea9eulZS9nD0pKUmbNm3S2bNndfny5RtqPzw8XM2aNVOXLl20bt06xcXF6aefftKbb76p3bt3S5KqVaumZcuWad++fdq/f7969ep1S7P3t4KkGwAAAADykpoqJSfb/pWaesOhVa5cWXv37lXr1q318ssvq06dOmrXrp02bdqkmTNnSspeJr5ixQqVLl1aLVq0UHh4uKpUqaKvv/7a2p9ULkuXLlXjxo31+OOPq1atWhoxYoR5djssLEyDBg1Sjx49VK5cOU2cOPGG2jaZTFqzZo1atGihfv36KTQ0VD179lRcXJwCAgIkSf/+979VunRphYWFKSIiQh06dFCjRo2sfp2FitfIuQsfZomJifL19VVCQoJ8fHyKOpx8paena82aNerYsWOu+zAAe8f4RXHG+EVxxvgtQXbskHr2lEqVkor637SJidLFi9JXX0n/m4W9UbYYu6mpqYqNjVXlypXldvWzslNSpJUrpQsXrNJPoZQuLXXuLFn5fmjcmnzHiAqfN7KRGgAAAABczd09OwG+ZtMtm3JxIeG+Q5F0AwAAAMC13N1JgmEV3NMNAAAAAICNkHQDAAAAAGAjJN0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAABcKyVFSki4fa+UlKK+4nwZhqEBAwaoTJkyMplM2rdvn1q1aqWhQ4ea64SEhGjq1KlFFqM9cyrqAAAAAADArqSkSCtXShcu3L4+S5eWOneW3N0LfUp8fLzGjRun7777TidOnJC/v78aNGigoUOHqm3btlYLbe3atZo7d662bNmiKlWqqGzZsrnqREVFydPTs1DtzZ07V0OHDtXFixfzrfPuu+9qxowZ+v3331WmTBlz+f79+9W4cWMtXrxYnTt3vuFrKQp2P9N96dIlDR06VJUqVZK7u7vCwsIUFRVVqHP/+9//ysnJSQ0aNLBtkAAAAADuHFeuZCfc7u7ZybCtX+7u2f1duVLoEOPi4nTPPfdo8+bNmjhxon777TetXbtWrVu31uDBg636ccTExCgoKEhhYWEKDAyUk1Puudty5crJw8PDan2OHDlSwcHBFteSnp6uPn36qFevXjZJuK/cwOd/I+w+6X766ae1YcMGzZ8/X7/99pvat2+v8PBwnThxosDzEhISFBkZadVveAAAAACUIG5ukqen7V9ubjcc2nPPPSeTyaRdu3apW7duCg0NVe3atTVs2DDt3LnTXO/o0aPq3LmzvLy85OPjo+7du+v06dPm46NGjVKDBg00f/58hYSEyNfXVz179tSlS5ckSX369NELL7ygo0ePymQyKSQkJM94rl1efvHiRQ0YMEABAQFyc3NTnTp1tHr1am3ZskV9+/ZVQkKCTCaTTCaTRo0alas9JycnzZs3TytXrtSSJUskSePGjdP58+c1ffp0JSQkaMCAAfL395ePj4/atGmj/fv3m8+PiYlR586dFRAQIC8vLzVu3FgbN27MFfPYsWPVp08f+fr66plnnrnRH0Oh2HXSnZKSoqVLl2rixIlq0aKFqlWrplGjRqly5cqaOXNmgecOHDhQvXr1UrNmzW5TtAAAAABge+fPn9fatWs1ePDgPJd0lypVSlL2vdhdunTR+fPntXXrVm3YsEExMTHq0aOHRf2YmBitWLFCq1ev1urVq7V161ZNmDBBkjRt2jSNGTNGFStW1KlTpwq16jgrK0sPPfSQfvrpJy1YsEAHDx7UhAkT5OjoqLCwME2dOlU+Pj46deqUTp06pVdeeSXPdmrUqKHx48fr2Wef1bp16/Tee+9pzpw58vb2VqdOnRQfH681a9Zoz549atSokdq2bavz589LkpKSktSxY0dt3LhRv/zyizp06KCIiAgdPXrUoo9JkyapTp062rNnj956663rXtvNsOt7ujMyMpSZmSm3a775cXd31/bt2/M9b86cOYqJidGCBQs0duxYW4cJAAAAALfNkSNHZBiGatSoUWC9jRs36tdff1VsbKyCg4MlSfPnz1ft2rUVFRWlxo0bS8pOkufOnStvb29J0lNPPaVNmzZp3Lhx8vX1lbe3txwdHRUYGFio+DZu3Khdu3YpOjpaoaGhkqQqVaqYj/v6+spkMhWqvRdffFErV65Ux44d9cILL6hNmzbavHmzfvvtN505c0aurq6SpMmTJ2vFihVasmSJBgwYoPr166t+/frmdsaOHavly5fr22+/1fPPP28ub9OmTb5Jv7XYddLt7e2tZs2a6d1331XNmjUVEBCgRYsW6eeff1b16tXzPOfw4cN67bXXtG3btjzvNchLWlqa0tLSzO8TExMlZd8zkJ6efusXYiM5sdlzjEB+GL8ozhi/KM4YvyVIVlb2smVXV8nFpWhjcXXNjiUrS7rJsWeLsZueni7DMJSVlaWsrKz/P5CVJRlG9v9eXW4rN9hfZmamJJljz8/BgwcVHBysChUqmOvVqFFDpUqV0u+//6577rlHhmEoJCREnp6e5jqBgYE6c+aM+b1hGP8L07Kva/vPef/LL7+oYsWKqlatWp7x5ZQVFPvVRo4cqS1btuj1119XVlaWdu/eraSkJPn5+VnUS0lJ0ZEjR5SVlaXk5GSNGTNG3333nU6ePKmMjAylpKTo77//tuj3nnvuKTCOrKwsGYah9PR0OTo6Whwr7Fi066Rbyv4mpl+/fqpQoYIcHR3VqFEj9erVS3v37s1VNzMzU7169dLo0aPN36gUxnvvvafRo0fnKl+/fr1VNwOwlQ0bNhR1CMBNY/yiOGP8ojhj/JYQEycWdQSWzp6V1qy5pSasOXadnJwUGBiopKQky020EhPlkpqqrJQUyWSyWn/5SkmRQ2qqriQmFqq/wMBA86O72rRpU0CzKTIMwzypmCMrK0upqalKTExUWlqaHBwcLOqkpaUpIyPDXJaamqqsrCyLOhkZGbpy5Yq57Oo2TSZTrvpXS01NzTOu/OT8bFJSUpSYmKjLly8rMDBQq1atylXX19dXiYmJevnll7V582a9++67qly5stzd3dW7d28lJSVZxOzo6FhgHFeuXFFKSop+/PFHZWRkWBy7fPlyoeK3+6S7atWq2rp1q5KTk5WYmKigoCD16NFDlStXzlX30qVL2r17t3755RfzkoGcbyacnJy0fv36PAflyJEjNWzYMPP7xMREBQcHq3379vLx8bHdxd2i9PR0bdiwQe3atZOzs3NRhwPcEMYvijPGL4ozxm8JsmuX1K+f5Osr/W/ZcJG5dCn7WdSzZ0tNmtxUE7YYu6mpqTp27Ji8vLwsb2k1jOyZeXd36XZMwhmGlJYmNx8fqRD5h4+Pj9q3b6/Zs2dr+PDhue7rvnjxokqVKqWGDRvq+PHjSkhIMC8vP3jwoBITE9WoUSP5+PjI1dVVjo6OFnmPm5ubHBwczGXXvpeyv7BwcXExlzk4OMjNzU0+Pj5q3LixTp48qfj4+DwnQ318fJSVlVXoXCtnItTb21s+Pj5q1qyZxo4dq1KlSuW7sduuXbvUt29f9erVS1L2Pd7Hjh3LN+b8pKamyt3dXS1atMh123NhvzSw+6Q7h6enpzw9PXXhwgWtW7dOE/P41s7Hx0e//fabRdmMGTO0efNmLVmyJM9EXZJcXV3N9wJczdnZuVj8n1FxiRPIC+MXxRnjF8UZ47cEcHCQUlP/f4l5UUpLy47FwUG6xXFnzbGbmZkpk8kkBwcHOThctce0g0P2jLODQ/bL1m6iv5kzZyosLEz33XefxowZo3r16ikjI0MbNmzQzJkzFR0drfbt26tevXp66qmnNHXqVGVkZOi5555Ty5Yt1eR/X36Y/jezfvX1X1uWV52c8mvPc3BwUOvWrdWiRQs99thjmjJliqpVq6ZDhw7JZDLpwQcfVJUqVZSUlKQffvhB9evXl4eHR4ErjHP6yPk5tW/fXs2aNdO//vUvvf/++7r77rt18uRJrVmzRl26dNG9996ratWqafny5XrkkUdkMpn01ltvKSsrK9+YC+rbZDLlOe4KOw7tPulet26dDMPQ3XffrSNHjmj48OG6++671bdvX0nZs9QnTpzQvHnz5ODgoDp16lic7+/vb96iHgAAAAAKLTXVbvupXLmy9u7dq3Hjxunll1/WqVOnVK5cOd1zzz3mJz2ZTCatWLFCL7zwglq0aCEHBwc9+OCD+vDDD619BbksXbpUr7zyih5//HElJyerWrVq5h3Rw8LCNGjQIPXo0UPnzp3TO++8k+djw/JjMpm0Zs0avfHGG+rXr5/++ecfBQYGqkWLFgoICJAk/fvf/1a/fv0UFhamsmXL6tVXXy30zLS1mYycu+Lt1DfffKORI0fq+PHjKlOmjB599FHzLnpS9nPj4uLitGXLljzPHzVqlFasWKF9+/YVus/ExET5+voqISHB7peXr1mzRh07duSbahQ7jF8UZ4xfFGeM3xJkxw6pZ0+pVKlCLVm2qcRE6eJF6auvpJt8pK8txm5qaqpiY2NVuXJly6XDKSnSypXShQtW6adQSpeWOnfOXtIOu5HvGFHh80a7n+nu3r27unfvnu/xuXPnFnj+qFGjbuhbEwAAAAAlnLt7dgJ89eZqtubiQsJ9h7L7pBsAAAAAbjt3d5JgWMVt2BUAAAAAAICSiaQbAAAAAAAbIekGAAAAAMBGSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAADgWikpUkLC7XulpBT1FefLMAwNGDBAZcqUkclk0r59+9SqVSsNHTrUXCckJERTp04tshjtmVNRBwAAAAAAdiUlRVq5Urpw4fb1Wbq01Lmz5O5e6FPi4+M1btw4fffddzpx4oT8/f3VoEEDDR06VG3btrVaaGvXrtXcuXO1ZcsWValSRWXLls1VJyoqSp6enoVqb+7cuRo6dKguXryYb513331XM2bM0O+//64yZcqYy/fv36/GjRtr8eLF6ty58w1fS1Eg6QYAAACAq125kp1wu7tLbm627y81Nbu/K1cKnXTHxcXp/vvvV6lSpTRx4kTVq1dP6enpWrdunQYPHqxDhw5ZLbyYmBgFBQUpLCws3zrlypWzWn+SNHLkSK1atUqDBw/WokWLJEnp6enq06ePevXqZZOE+8qVK3JxcbF6uywvBwAAAIC8uLlJnp62f91EYv/cc8/JZDJp165d6tatm0JDQ1W7dm0NGzZMO3fuNNc7evSoOnfuLC8vL/n4+Kh79+46ffq0+fioUaPUoEEDzZ8/XyEhIfL19VXPnj116dIlSVKfPn30wgsv6OjRozKZTAoJCckznmuXl1+8eFEDBgxQQECA3NzcVKdOHa1evVpbtmxR3759lZCQIJPJJJPJpFGjRuVqz8nJSfPmzdPKlSu1ZMkSSdK4ceN0/vx5TZ8+XQkJCRowYID8/f3l4+OjNm3aaP/+/ebzY2Ji1LlzZwUEBMjLy0uNGzfWxo0bc8U8duxY9enTR76+vnrmmWdu9MdQKCTdAAAAAFCMnD9/XmvXrtXgwYPzXNJdqlQpSdn3Ynfp0kXnz5/X1q1btWHDBsXExKhHjx4W9WNiYrRixQqtXr1aq1ev1tatWzVhwgRJ0rRp0zRmzBhVrFhRp06dUlRU1HXjy8rK0kMPPaSffvpJCxYs0MGDBzVhwgQ5OjoqLCxMU6dOlY+Pj06dOqVTp07plVdeybOdGjVqaPz48Xr22We1bt06vffee5ozZ468vb3VqVMnxcfHa82aNdqzZ48aNWqktm3b6vz585KkpKQkdezYURs3btQvv/yiDh06KCIiQkePHrXoY9KkSapTp4727Nmjt95667rXdjNYXg4AAAAAxciRI0dkGIZq1KhRYL2NGzfq119/VWxsrIKDgyVJ8+fPV+3atRUVFaXGjRtLyk6S586dK29vb0nSU089pU2bNmncuHHy9fWVt7e3HB0dFRgYWKj4Nm7cqF27dik6OlqhoaGSpCpVqpiP+/r6ymQyFaq9F198UStXrlTHjh31wgsvqE2bNtq8ebN+++03nTlzRq6urpKkyZMna8WKFVqyZIkGDBig+vXrq379+uZ2xo4dq+XLl+vbb7/V888/by5v06ZNvkm/tTDTDQAAAADFiGEYkiSTyVRgvejoaAUHB5sTbkmqVauWSpUqpejoaHNZSEiIOeGWpKCgIJ05c+am49u3b58qVqxoTrhvhclk0htvvKGsrCy9+eabkqQ9e/YoKSlJfn5+8vLyMr9iY2MVExMjSUpOTtaIESPM1+vl5aVDhw7lmum+9957bznG62GmGwAAAACKkerVq8tkMik6OlpdunTJt55hGHkm5teWOzs7Wxw3mUzKysq66fjcb2AH9sJwcnKy+N+srCwFBQVpy5YtuermLK0fPny41q1bp8mTJ6tatWpyd3dXt27ddOXKFYv6hd1x/VYw0w0AAAAAxUiZMmXUoUMHffzxx0pOTs51POdRXLVq1dLRo0d17Ngx87GDBw8qISFBNWvWtFl89erV0/Hjx/Xnn3/medzFxUWZmZk33X6jRo0UHx8vJycnVatWzeKV8zizbdu2qU+fPuratavq1q2rwMBAxcXF3XSft4KkGwAAAACKmRkzZigzM1NNmjTR0qVLdfjwYUVHR2v69Olq1qyZJCk8PFz16tXTE088ob1792rXrl2KjIxUy5YtbbqsumXLlmrRooUeffRRbdiwQbGxsfr++++1du1aSdnL2ZOSkrRp0yadPXtWly9fvqH2w8PD1axZM3Xp0kXr1q1TXFycfvrpJ7355pvavXu3JKlatWpatmyZ9u3bp/3796tXr163NHt/K0i6AQAAACAvqalScrLtX6mpNxxa5cqVtXfvXrVu3Vovv/yy6tSpo3bt2mnTpk2aOXOmpOxl4itWrFDp0qXVokULhYeHq0qVKvr666+t/UnlsnTpUjVu3FiPP/64atWqpREjRphnt8PCwjRo0CD16NFD5cqV08SJE2+obZPJpDVr1qhFixbq16+fQkND1bNnT8XFxSkgIECS9O9//1ulS5dWWFiYIiIi1KFDBzVq1Mjq11moeI2cu/BhlpiYKF9fXyUkJMjHx6eow8lXenq61qxZo44dO+a6DwOwd4xfFGeMXxRnjN8SZMcOqWdPqVQpqaj/TZuYKF28KH31lfS/WdgbZYuxm5qaqtjYWFWuXFluVz8rOyVFWrlSunDBKv0USunSUufOkpXvh8atyXeMqPB5IxupAQAAAMDV3N2zE+BrNt2yKRcXEu47FEk3AAAAAFzL3Z0kGFbBPd0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANkLSDQAAAACAjZB0AwAAAMC1UlKkhITb90pJKeorzpdhGBowYIDKlCkjk8mkffv2qVWrVho6dKi5TkhIiKZOnVpkMdozp6IOAAAAAADsSkqKtHKldOHC7euzdGmpc2fJ3b3Qp8THx2vcuHH67rvvdOLECfn7+6tBgwYaOnSo2rZta7XQ1q5dq7lz52rLli2qUqWKypYtm6tOVFSUPD09C9Xe3LlzNXToUF28eDHfOu+++65mzJih33//XWXKlDGX79+/X40bN9bixYvVuXPnG76WokDSDQAAAABXu3IlO+F2d5fc3GzfX2pqdn9XrhQ66Y6Li9P999+vUqVKaeLEiapXr57S09O1bt06DR48WIcOHbJaeDExMQoKClJYWFi+dcqVK2e1/iRp5MiRWrVqlQYPHqxFixZJktLT09WnTx/16tXLJgn3lStX5OLiYvV2WV4OAAAAAHlxc5M8PW3/uonE/rnnnpPJZNKuXbvUrVs3hYaGqnbt2ho2bJh27txprnf06FF17txZXl5e8vHxUffu3XX69Gnz8VGjRqlBgwaaP3++QkJC5Ovrq549e+rSpUuSpD59+uiFF17Q0aNHZTKZFBISkmc81y4vv3jxogYMGKCAgAC5ubmpTp06Wr16tbZs2aK+ffsqISFBJpNJJpNJo0aNytWek5OT5s2bp5UrV2rJkiWSpHHjxun8+fOaPn26EhISNGDAAPn7+8vHx0dt2rTR/v37zefHxMSoc+fOCggIkJeXlxo3bqyNGzfminns2LHq06ePfH199cwzz9zoj6FQSLoBAAAAoBg5f/681q5dq8GDB+e5pLtUqVKSsu/F7tKli86fP6+tW7dqw4YNiomJUY8ePSzqx8TEaMWKFVq9erVWr16trVu3asKECZKkadOmacyYMapYsaJOnTqlqKio68aXlZWlhx56SD/99JMWLFiggwcPasKECXJ0dFRYWJimTp0qHx8fnTp1SqdOndIrr7ySZzs1atTQ+PHj9eyzz2rdunV67733NGfOHHl7e6tTp06Kj4/XmjVrtGfPHjVq1Eht27bV+fPnJUlJSUnq2LGjNm7cqF9++UUdOnRQRESEjh49atHHpEmTVKdOHe3Zs0dvvfXWda/tZrC8HAAAAACKkSNHjsgwDNWoUaPAehs3btSvv/6q2NhYBQcHS5Lmz5+v2rVrKyoqSo0bN5aUnSTPnTtX3t7ekqSnnnpKmzZt0rhx4+Tr6ytvb285OjoqMDCwUPFt3LhRu3btUnR0tEJDQyVJVapUMR/39fWVyWQqVHsvvviiVq5cqY4dO+qFF15QmzZttHnzZv322286c+aMXF1dJUmTJ0/WihUrtGTJEg0YMED169dX/fr1ze2MHTtWy5cv17fffqvnn3/eXN6mTZt8k35rYaYbAAAAAIoRwzAkSSaTqcB60dHRCg4ONifcklSrVi2VKlVK0dHR5rKQkBBzwi1JQUFBOnPmzE3Ht2/fPlWsWNGccN8Kk8mkN954Q1lZWXrzzTclSXv27FFSUpL8/Pzk5eVlfsXGxiomJkaSlJycrBEjRpiv18vLS4cOHco1033vvffecozXw0w3AAAAABQj1atXl8lkUnR0tLp06ZJvPcMw8kzMry13dna2OG4ymZSVlXXT8bnfwA7sheHk5GTxv1lZWQoKCtKWLVty1c1ZWj98+HCtW7dOkydPVrVq1eTu7q5u3brpypUrFvULu+P6rWCmGwAAAACKkTJlyqhDhw76+OOPlZycnOt4zqO4atWqpaNHj+rYsWPmYwcPHlRCQoJq1qxps/jq1aun48eP688//8zzuIuLizIzM2+6/UaNGik+Pl5OTk6qVq2axSvncWbbtm1Tnz591LVrV9WtW1eBgYGKi4u76T5vBUk3AAAAABQzM2bMUGZmppo0aaKlS5fq8OHDio6O1vTp09WsWTNJUnh4uOrVq6cnnnhCe/fu1a5duxQZGamWLVvadFl1y5Yt1aJFCz366KPasGGDYmNj9f3332vt2rWSspezJyUladOmTTp79qwuX758Q+2Hh4erWbNm6tKli9atW6e4uDj99NNPevPNN7V7925JUrVq1bRs2TLt27dP+/fvV69evW5p9v5WkHQDAAAAQF5SU6XkZNu/UlNvOLTKlStr7969at26tV5++WXVqVNH7dq106ZNmzRz5kxJ2cvEV6xYodKlS6tFixYKDw9XlSpV9PXXX1v7k8pl6dKlaty4sR5//HHVqlVLI0aMMM9uh4WFadCgQerRo4fKlSuniRMn3lDbJpNJa9asUYsWLdSvXz+FhoaqZ8+eiouLU0BAgCTp3//+t0qXLq2wsDBFRESoQ4cOatSokdWvs1DxGjl34cMsMTFRvr6+SkhIkI+PT1GHk6/09HStWbNGHTt2zHUfBmDvGL8ozhi/KM4YvyXIjh1Sz55SqVJSUf+bNjFRunhR+uor6X+zsDfKFmM3NTVVsbGxqly5styuflZ2Soq0cqV04YJV+imU0qWlzp0lK98PjVuT7xhR4fNGNlIDAAAAgKu5u2cnwNdsumVTLi4k3Hcokm4AAAAAuJa7O0kwrIJ7ugEAAAAAsBGSbgAAAAAAbISkGwAAAECJxt7SyI81xgZJNwAAAIASKWcX9Bt9TjRKjpyxcSs75rORGgAAAIASydHRUaVKldKZM2ckSR4eHjKZTEUcFeyBYRi6fPmyzpw5o1KlSsnR0fGm2yLpBgAAAFBiBQYGSpI58QauVqpUKfMYuVkk3QAAAABKLJPJpKCgIPn7+ys9Pb2ow4EdcXZ2vqUZ7hwk3QAAAABKPEdHR6skWMC12EgNAAAAAAAbIekGAAAAAMBGSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAAAAsBGSbgAAAAAAbISkGwAAAAAAG7H7pPvSpUsaOnSoKlWqJHd3d4WFhSkqKirf+suWLVO7du1Urlw5+fj4qFmzZlq3bt1tjBgAAAAAgGx2n3Q//fTT2rBhg+bPn6/ffvtN7du3V3h4uE6cOJFn/R9//FHt2rXTmjVrtGfPHrVu3VoRERH65ZdfbnPkAAAAAICSzqmoAyhISkqKli5dqpUrV6pFixaSpFGjRmnFihWaOXOmxo4dm+ucqVOnWrwfP368Vq5cqVWrVqlhw4a3I2wAAAAAACTZedKdkZGhzMxMubm5WZS7u7tr+/bthWojKytLly5dUpkyZfKtk5aWprS0NPP7xMRESVJ6errS09NvIvLbIyc2e44RyA/jF8UZ4xfFGeO3BMnKktzcJFdXycWlaGNxdc2OJStLusmxx9iFvSnsWDQZhmHYOJZbEhYWJhcXFy1cuFABAQFatGiRIiMjVb16df3xxx/XPX/SpEmaMGGCoqOj5e/vn2edUaNGafTo0bnKFy5cKA8Pj1u+BgAAAADAneXy5cvq1auXEhIS5OPjk289u0+6Y2Ji1K9fP/34449ydHRUo0aNFBoaqr179+rgwYMFnrto0SI9/fTTWrlypcLDw/Otl9dMd3BwsM6ePVvgh1fU0tPTtWHDBrVr107Ozs5FHQ5wQxi/KM4YvyjOGL8lyK5dUr9+kq+v5O1dtLFcuiQlJEizZ0tNmtxUE4xd2JvExESVLVv2ukm3XS8vl6SqVatq69atSk5OVmJiooKCgtSjRw9Vrly5wPO+/vpr9e/fX4sXLy4w4ZYkV1dXubq65ip3dnYuFr/QxSVOIC+MXxRnjF8UZ4zfEsDBQUpN/f8l5kUpLS07FgcH6RbHHWMX9qKw49Dudy/P4enpqaCgIF24cEHr1q1T586d8627aNEi9enTRwsXLlSnTp1uY5QAAAAAAPw/u5/pXrdunQzD0N13360jR45o+PDhuvvuu9W3b19J0siRI3XixAnNmzdPksz3fE+bNk333Xef4uPjJWVvvubr61tk1wEAAAAAKHnsfqY7ISFBgwcPVo0aNRQZGanmzZtr/fr15qn8U6dO6ejRo+b6//nPf5SRkaHBgwcrKCjI/HrxxReL6hIAAAAAACWU3c90d+/eXd27d8/3+Ny5cy3eb9myxbYBAQAAAABQSHY/0w0AAAAAQHFF0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANmKT3csTEhK0YcMGxcXFyWQyqXLlygoPD5ePj48tugMAAAAAwC5ZPelesGCBnn/+eSUmJlqU+/r6atasWerRo4e1uwQAAAAAwC5ZdXn53r171bdvX3Xp0kW//PKLUlJSdPnyZe3evVsRERF66qmntH//fmt2CQAAAACA3bLqTPeHH36oLl26aO7cuRbljRo10rx583T58mVNmzZNs2fPtma3AAAAAADYJavOdP/3v//VwIED8z0+aNAgbd++3ZpdAgAAAABgt6yadJ88eVKhoaH5Hg8NDdWJEyes2SUAAAAAAHbLqkn35cuX5ebmlu9xV1dXpaamWrNLAAAAAADsltV3L1+3bp18fX3zPHbx4kVrdwcAAAAAgN2yetLdu3fvAo+bTCZrdwkAAAAAgF2yatKdlZVlzeYAAAAAACjWrHpPNwAAAAAA+H9WTbqPHDmiPXv2WJRt2rRJrVu3VpMmTTR+/HhrdgcAAAAAgF2zatI9fPhwrVixwvw+NjZWERERcnFxUbNmzfTee+9p6tSp1uwSAAAAAAC7ZdV7unfv3q0RI0aY33/55ZcKDQ3VunXrJEn16tXThx9+qKFDh1qzWwAAAAAA7JJVZ7rPnj2rihUrmt//8MMPioiIML9v1aqV4uLirNklAAAAAAB2y6pJd5kyZXTq1ClJ2TuZ7969W02bNjUfv3LligzDsGaXAAAAAADYLasm3S1bttS7776rY8eOaerUqcrKylLr1q3Nxw8ePKiQkBBrdgkAAAAAgN2y6j3d48aNU7t27RQSEiIHBwdNnz5dnp6e5uPz589XmzZtrNklAAAAAAB2y6pJd+XKlRUdHa2DBw+qXLlyKl++vMXx0aNHW9zzDQAAAADAncyqSbckOTs7q379+nkey68cAAAAAIA7kVWT7n79+uVZ7uvrq7vvvltPPvmkvLy8rNklAAAAAAB2y6obqV24cCHP1759+/T222/r7rvv1l9//WXNLgEAAAAAsFtWnelevnx5vsdSUlIUGRmp1157Td988401uwUAAAAAwC5Zdaa7IO7u7nr11Ve1c+fO29UlAAAAAABF6rYl3ZJUpkwZXbx48XZ2CQAAAABAkbmtSfdPP/2kqlWr3s4uAQAAAAAoMla9p/vXX3/NszwhIUFRUVEaP368xo4da80uAQAAAACwW1ZNuhs0aCCTySTDMHIdK1eunF599VUNGjTIml0CAAAAAGC3rJp0x8bG5lnu6+urUqVKWbMrAAAAAADsnlWT7kqVKlmzOQAAAAAAirXbupEaAAAAAAAlCUk3AAAAAAA2QtINAAAAAICNkHQDAAAAAGAjNku6L168qM8++0wjR47U+fPnJUl79+7ViRMnbNUlAAAAAAB2xaq7l+f49ddfFR4eLl9fX8XFxemZZ55RmTJltHz5cv3999+aN2+eLboFAAAAAMCu2GSme9iwYerTp48OHz4sNzc3c/lDDz2kH3/80RZdAgAAAABgd2ySdEdFRWngwIG5yitUqKD4+HhbdAkAAAAAgN2xSdLt5uamxMTEXOV//PGHypUrZ4suAQAAAACwOzZJujt37qwxY8YoPT1dkmQymXT06FG99tprevTRR23RJQAAAAAAdscmSffkyZP1zz//yN/fXykpKWrZsqWqVasmb29vjRs3zhZdAgAAAABgd2yye7mPj4+2b9+uzZs3a+/evcrKylKjRo0UHh5ui+4AAAAAALBLNkm6c7Rp00Zt2rSxZRcAAAAAANgtmyTdY8aMKfD422+/bYtuAQAAAACwKzZJupcvX27xPj09XbGxsXJyclLVqlVJugEAAAAAJYJNku5ffvklV1liYqL69Omjrl272qJLAAAAAADsjk12L8+Lj4+PxowZo7feeut2dQkAAAAAQJG6bUm3JF28eFEJCQm3s0sAAAAAAIqMTZaXT58+3eK9YRg6deqU5s+frwcffNAWXQIAAAAAYHdsknT/+9//tnjv4OCgcuXKqXfv3ho5cqQtugQAAAAAwO7YJOmOjY21RbMAAAAAABQrt/WebgAAAAAAShKrzXT/61//KnTdZcuWWatbAAAAAADsltWSbl9fX2s1BQAAAADAHcFqSfecOXOs1RQAAAAAAHcEu7+n+9KlSxo6dKgqVaokd3d3hYWFKSoqqsBztm7dqnvuuUdubm6qUqWKZs2adZuiBQAAAADg/9lk93JJWrJkib755hsdPXpUV65csTi2d+/eQrfz9NNP68CBA5o/f77Kly+vBQsWKDw8XAcPHlSFChVy1Y+NjVXHjh31zDPPaMGCBfrvf/+r5557TuXKldOjjz56y9cFAAAAAEBh2WSme/r06erbt6/8/f31yy+/qEmTJvLz89Nff/2lhx56qNDtpKSkaOnSpZo4caJatGihatWqadSoUapcubJmzpyZ5zmzZs3SXXfdpalTp6pmzZp6+umn1a9fP02ePNlalwcAAAAAQKHYZKZ7xowZ+uSTT/T444/riy++0IgRI1SlShW9/fbbOn/+fKHbycjIUGZmptzc3CzK3d3dtX379jzP2bFjh9q3b29R1qFDB33++edKT0+Xs7NzrnPS0tKUlpZmfp+YmChJSk9PV3p6eqHjvd1yYrPnGIH8MH5RnDF+UZwxfkuQrCzJzU1ydZVcXIo2FlfX7FiysqSbHHuMXdibwo5Fk2EYhrU79/DwUHR0tCpVqiR/f39t2LBB9evX1+HDh3Xffffp3LlzhW4rLCxMLi4uWrhwoQICArRo0SJFRkaqevXq+uOPP3LVDw0NVZ8+ffT666+by3766Sfdf//9OnnypIKCgnKdM2rUKI0ePTpX+cKFC+Xh4VHoWAEAAAAAJcPly5fVq1cvJSQkyMfHJ996NpnpDgwM1Llz51SpUiVVqlRJO3fuVP369RUbG6sbzfHnz5+vfv36qUKFCnJ0dFSjRo3Uq1evAu8LN5lMFu9z+ry2PMfIkSM1bNgw8/vExEQFBwerffv2BX54RS09PV0bNmxQu3bt8pzBB+wZ4xfFGeMXxRnjtwTZtUvq10/y9ZW8vYs2lkuXpIQEafZsqUmTm2qCsQt7k7NC+npsknS3adNGq1atUqNGjdS/f3+99NJLWrJkiXbv3q1//etfN9RW1apVtXXrViUnJysxMVFBQUHq0aOHKleunGf9wMBAxcfHW5SdOXNGTk5O8vPzy/McV1dXubq65ip3dnYuFr/QxSVOIC+MXxRnjF8UZ4zfEsDBQUpN/f8l5kUpLS07FgcH6RbHHWMX9qKw49CqSfeKFSsUERGhTz75RFlZWZKkQYMGqUyZMtq+fbsiIiI0aNCgm2rb09NTnp6eunDhgtatW6eJEyfmWa9Zs2ZatWqVRdn69et177338ssJAAAAALitrJp0d+vWTWXLllXv3r3Vr18/3X333ZKk7t27q3v37jfV5rp162QYhu6++24dOXJEw4cP1913362+fftKyl4afuLECc2bN09SdpL/0UcfadiwYXrmmWe0Y8cOff7551q0aJF1LhIAAAAAgEKy6iPDjh49qhdeeEHLly9XrVq11Lx5c82ZM0fJyck33WZCQoIGDx6sGjVqKDIyUs2bN9f69evNs9anTp3S0aNHzfUrV66sNWvWaMuWLWrQoIHeffddTZ8+nWd0AwAAAABuO6sm3eXLl9cbb7yhP//8U5s3b1bVqlU1ZMgQBQUF6emnn9aOHTtuuM3u3bsrJiZGaWlpOnXqlD766CP5+vqaj8+dO1dbtmyxOKdly5bau3ev0tLSFBsbe9NL2gEAAAAAuBVWTbqv1rJlS33xxRc6deqUpkyZoujoaDVv3ly1a9e2VZcAAAAAANgVm+xefjUvLy+1bt1acXFxOnTokP78809bdwkAAAAAgF2w2Uz35cuX9cUXX6hly5YKDQ3V119/rWHDhikuLs5WXQIAAAAAYFesPtP93//+V7Nnz9bixYuVkZGhf/3rX9q4caNat25t7a4AAAAAALBrVk26Q0NDFRMTo4YNG+r9999Xr169LDY9AwAAAACgJLFq0v3ggw+qf//+ql+/vjWbBQAAAACgWLJq0j19+nRrNgcAAAAAQLFms43UAAAAAAAo6Ui6AQAAAACwEZJuAAAAAABshKQbAAAAAAAbsdpGajeyidqQIUOs1S0AAAAAAHbLakn3v//970LVM5lMJN0AAAAAgBLBakl3bGystZoCAAAAAOCOwD3dAAAAAADYiNVmuq91/Phxffvttzp69KiuXLlicWzKlCm26hYAAAAAALthk6R706ZNeuSRR1S5cmX98ccfqlOnjuLi4mQYhho1amSLLgEAAAAAsDs2WV4+cuRIvfzyyzpw4IDc3Ny0dOlSHTt2TC1bttRjjz1miy4BAAAAALA7Nkm6o6Oj1bt3b0mSk5OTUlJS5OXlpTFjxuj999+3RZcAAAAAANgdmyTdnp6eSktLkySVL19eMTEx5mNnz561RZcAAAAAANgdm9zTfd999+m///2vatWqpU6dOunll1/Wb7/9pmXLlum+++6zRZcAAAAAANgdmyTdU6ZMUVJSkiRp1KhRSkpK0tdff61q1arp3//+ty26BAAAAADA7tgk6a5SpYr5vz08PDRjxgxbdAMAAAAAgF2zyT3dVapU0blz53KVX7x40SIhBwAAAADgTmaTpDsuLk6ZmZm5ytPS0nTixAlbdAkAAAAAgN2x6vLyb7/91vzf69atk6+vr/l9ZmamNm3apJCQEGt2CQAAAACA3bJq0t2lSxdJkslkMj+nO4ezs7NCQkL0wQcfWLNLAAAAAADsllWT7qysLElS5cqVFRUVpbJly1qzeQAAAAAAihWb7F4eGxtri2YBAAAAAChWbLKRmiRt3bpVERERqlatmqpXr65HHnlE27Zts1V3AAAAAADYHZsk3QsWLFB4eLg8PDw0ZMgQPf/883J3d1fbtm21cOFCW3QJAAAAAIDdscny8nHjxmnixIl66aWXzGUvvviipkyZonfffVe9evWyRbcAAAAAANgVm8x0//XXX4qIiMhV/sgjj3C/NwAAAACgxLBJ0h0cHKxNmzblKt+0aZOCg4Nt0SUAAAAAAHbHqsvL+/Xrp2nTpunll1/WkCFDtG/fPoWFhclkMmn79u2aO3eupk2bZs0uAQAAAACwW1ZNur/44gtNmDBBzz77rAIDA/XBBx/om2++kSTVrFlTX3/9tTp37mzNLgEAAAAAsFtWTboNwzD/d9euXdW1a1drNg8AAAAAQLFi9Xu6TSaTtZsEAAAAAKBYsvojw0JDQ6+beJ8/f97a3QIAAAAAYHesnnSPHj1avr6+1m4WAAAAAIBix+pJd8+ePeXv72/tZgEAAAAAKHasek8393MDAAAAAPD/rJp0X717OQAAAAAAJZ1Vl5dnZWVZszkAAAAAAIo1qz8yDAAAAAAAZCPpBgAAAADARki6AQAAAACwEZJuAAAAAABshKQbAAAAAAAbIekGAAAAAMBGSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAAAAsBGSbgAAAAAAbISkGwAAAAAAGyHpBgAAAADARki6AQAAAACwEbtOujMyMvTmm2+qcuXKcnd3V5UqVTRmzBhlZWUVeN6XX36p+vXry8PDQ0FBQerbt6/OnTt3m6IGAAAAACCbXSfd77//vmbNmqWPPvpI0dHRmjhxoiZNmqQPP/ww33O2b9+uyMhI9e/fX7///rsWL16sqKgoPf3007cxcgAAAAAAJKeiDqAgO3bsUOfOndWpUydJUkhIiBYtWqTdu3fne87OnTsVEhKiIUOGSJIqV66sgQMHauLEibclZgAAAAAActj1THfz5s21adMm/fnnn5Kk/fv3a/v27erYsWO+54SFhen48eNas2aNDMPQ6dOntWTJEnPiDgAAAADA7WLXM92vvvqqEhISVKNGDTk6OiozM1Pjxo3T448/nu85YWFh+vLLL9WjRw+lpqYqIyNDjzzySIFL0tPS0pSWlmZ+n5iYKElKT09Xenq69S7IynJis+cYgfwwflGcMX5RnDF+S5CsLMnNTXJ1lVxcijYWV9fsWLKypJsce4xd2JvCjkWTYRiGjWO5aV999ZWGDx+uSZMmqXbt2tq3b5+GDh2qKVOmqHfv3nmec/DgQYWHh+ull15Shw4ddOrUKQ0fPlyNGzfW559/nuc5o0aN0ujRo3OVL1y4UB4eHla9JgAAAABA8Xf58mX16tVLCQkJ8vHxybeeXSfdwcHBeu211zR48GBz2dixY7VgwQIdOnQoz3OeeuoppaamavHixeay7du364EHHtDJkycVFBSU65y8ZrqDg4N19uzZAj+8opaenq4NGzaoXbt2cnZ2LupwgBvC+EVxxvhFccb4LUF27ZL69ZN8fSVv76KN5dIlKSFBmj1batLkpppg7MLeJCYmqmzZstdNuu16efnly5fl4GB527mjo2OBjwy7fPmynJwsL8vR0VGSlN/3C66urnJ1dc1V7uzsXCx+oYtLnEBeGL8ozhi/KM4YvyWAg4OUmvr/S8yLUlpadiwODtItjjvGLuxFYcehXW+kFhERoXHjxum7775TXFycli9frilTpqhr167mOiNHjlRkZKTFOcuWLdPMmTP1119/6b///a+GDBmiJk2aqHz58kVxGQAAAACAEsquZ7o//PBDvfXWW3ruued05swZlS9fXgMHDtTbb79trnPq1CkdPXrU/L5Pnz66dOmSPvroI7388ssqVaqU2rRpo/fff78oLgEAAAAAUILZddLt7e2tqVOnaurUqfnWmTt3bq6yF154QS+88ILtAgMAAAAAoBDsenk5AAAAAADFGUk3AAAAAAA2QtINAAAAAICNkHQDAAAAAGAjJN0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANkLSDQAAAACAjZB0AwAAAABgIyTdAAAAAADYCEk3AAAAAAA2QtINAAAAAICNkHQDAAAAAGAjJN0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANkLSDQAAAACAjZB0AwAAAABgIyTdAAAAAADYCEk3AAAAAAA2QtINAAAAAICNkHQDAAAAAGAjJN0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANkLSDQAAAACAjZB0AwAAAABgIyTdAAAAAADYCEk3AAAAAAA2QtINAAAAAICNkHQDAAAAAGAjJN0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANkLSDQAAAACAjZB0AwAAAABgIyTdAAAAAADYCEk3AAAAAAA2QtINAAAAAICNkHQDAAAAAGAjJN0AAAAAANgISTcAAAAAADZC0g0AAAAAgI2QdAMAAAAAYCMk3QAAAAAA2AhJNwAAAAAANkLSDQAAAACAjZB0AwAAAABgI3addGdkZOjNN99U5cqV5e7uripVqmjMmDHKysoq8Ly0tDS98cYbqlSpklxdXVW1alXNnj37NkUNAAAAAEA2p6IOoCDvv/++Zs2apS+++EK1a9fW7t271bdvX/n6+urFF1/M97zu3bvr9OnT+vzzz1WtWjWdOXNGGRkZtzFyAAAAAADsPOnesWOHOnfurE6dOkmSQkJCtGjRIu3evTvfc9auXautW7fqr7/+UpkyZcznAQAAAABwu9n18vLmzZtr06ZN+vPPPyVJ+/fv1/bt29WxY8d8z/n222917733auLEiapQoYJCQ0P1yiuvKCUl5XaFDQAAAACAJDuf6X711VeVkJCgGjVqyNHRUZmZmRo3bpwef/zxfM/566+/tH37drm5uWn58uU6e/asnnvuOZ0/fz7f+7rT0tKUlpZmfp+YmChJSk9PV3p6unUvyopyYrPnGIH8MH5RnDF+UZwxfkuQrCzJzU1ydZVcXIo2FlfX7FiysqSbHHuMXdibwo5Fk2EYho1juWlfffWVhg8frkmTJql27drat2+fhg4dqilTpqh37955ntO+fXtt27ZN8fHx8vX1lSQtW7ZM3bp1U3Jystzd3XOdM2rUKI0ePTpX+cKFC+Xh4WHdiwIAAAAAFHuXL19Wr169lJCQIB8fn3zr2XXSHRwcrNdee02DBw82l40dO1YLFizQoUOH8jynd+/e+u9//6sjR46Yy6Kjo1WrVi39+eefql69eq5z8prpDg4O1tmzZwv88Ipaenq6NmzYoHbt2snZ2bmowwFuCOMXxRnjF8UZ47cE2bVL6tdP8vWVvL2LNpZLl6SEBGn2bKlJk5tqgrELe5OYmKiyZcteN+m26+Xlly9floOD5W3njo6OBT4y7P7779fixYuVlJQkLy8vSdKff/4pBwcHVaxYMc9zXF1d5erqmqvc2dm5WPxCF5c4gbwwflGcMX5RnDF+SwAHByk19f+XmBeltLTsWBwcpFscd4xd2IvCjkO73kgtIiJC48aN03fffae4uDgtX75cU6ZMUdeuXc11Ro4cqcjISPP7Xr16yc/PT3379tXBgwf1448/avjw4erXr1+eS8sBAAAAALAVu57p/vDDD/XWW2/pueee05kzZ1S+fHkNHDhQb7/9trnOqVOndPToUfN7Ly8vbdiwQS+88ILuvfde+fn5qXv37ho7dmxRXAIAAAAAoASz66Tb29tbU6dO1dSpU/OtM3fu3FxlNWrU0IYNG2wXGAAAAAAAhWDXy8sBAAAAACjOSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAAAAsBGSbgAAAAAAbISkGwAAAAAAGyHpBgAAAADARki6AQAAAACwEZJuAAAAAABshKQbAAAAAAAbIekGAAAAAMBGSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAAAAsBGSbgAAAAAAbISkGwAAAAAAGyHpBgAAAADARpyKOgB7ZBiGJCkxMbGIIylYenq6Ll++rMTERDk7Oxd1OMANYfyiOGP8ojhj/JYgyclSVpaUlCRlZhZtLCkp2bEkJ0s3+W9sxi7sTU6+mJM/5sdkXK9GCXT8+HEFBwcXdRgAAAAAADt37NgxVaxYMd/jJN15yMrK0smTJ+Xt7S2TyVTU4eQrMTFRwcHBOnbsmHx8fIo6HOCGMH5RnDF+UZwxflFcMXZhbwzD0KVLl1S+fHk5OOR/5zbLy/Pg4OBQ4DcV9sbHx4c/PCi2GL8ozhi/KM4YvyiuGLuwJ76+vtetw0ZqAAAAAADYCEk3AAAAAAA2QtJdjLm6uuqdd96Rq6trUYcC3DDGL4ozxi+KM8YviivGLoorNlIDAAAAAMBGmOkGAAAAAMBGSLoBAAAAALARkm4AAAAAAGyEpBsAAAAAABsh6QYAAAAAwEZIugEAAAAAsBGSbgAAAAAAbISkGwAAAAAAGyHpBgAAAADARki6AQAAAACwEZJuAAAAAABshKQbAAAAAAAbIekGAAAAAMBGSLoBAAAAALARkm4AAAAAAGyEpBsASgCTyVSo15YtW67b1vjx47VixYpbjmfUqFH5Hl+5cqVMJpNmzZqVb50NGzbIZDJpypQphe63T58+CgkJuYFIrcdkMun555/P89iSJUtyff6GYeirr77SAw88IH9/f7m5ualixYrq0KGDPvvss1xt57wcHR1VunRp1a9fXwMHDtTOnTtvKM7k5GRNmDBBDRs2lJeXlzw9PdWgQQONHz9eycnJN3zdtrJly5ZCj2tJCgkJUZ8+fYo26KvMnTtXJpNJcXFxVmszJCREDz/8cIF18vodKGhsAgBunVNRBwAAsL0dO3ZYvH/33Xf1ww8/aPPmzRbltWrVum5b48ePV7du3dSlSxdrhmihU6dOCgwM1OzZszVo0KA868yZM0fOzs566qmnbBZHURo5cqTef/99PfPMMxo+fLi8vb31999/a/PmzVq5cqWefvppi/rdunXTyy+/LMMwlJiYqAMHDmjevHn65JNPNGTIEE2bNu26fZ4+fVrh4eGKiYnRkCFDNHHiREnS5s2bNXbsWC1atEgbN25UQECATa75RjRq1CjXuO7atauqVq2qyZMn56q/fPly+fj43K7wrqtTp07asWOHgoKCbmu/b731ll588cXb2icAlHQk3QBQAtx3330W78uVKycHB4dc5fbCyclJkZGRmjhxog4cOKA6depYHL948aKWL1+uRx55ROXKlSuiKG0nJSVFU6dOVWRkpD755BOLY3369FFWVlaucwICAix+nh06dNDQoUM1YMAATZ8+XTVq1NCzzz5bYL+RkZE6dOiQfvjhBzVv3txc3q5dO3Xq1EmtW7dW7969tXbt2lu8whuTkpIid3d3izIfH59c49fV1VWlSpXKc1w3bNjQpjHeqHLlyhXJ2K1atept7xMASjqWlwMAJEnnz5/Xc889pwoVKsjFxUVVqlTRG2+8obS0NHMdk8mk5ORkffHFF+alu61atZIk/fPPP3ruuedUq1YteXl5yd/fX23atNG2bdtuKp7+/ftLyp7RvtaiRYuUmpqqfv36SZI+/vhjtWjRQv7+/vL09FTdunU1ceJEpaenF9hHXFycTCaT5s6dm+tYXkvgDx8+rF69esnf31+urq6qWbOmPv7445u6voIkJycrLS0t31lQB4fC/d+3o6OjPvroI5UtW1aTJk0qsO7u3bu1fv169e/f3yLhztG8eXP169dP69at0549eyRlJ7IPPPBArrqZmZmqUKGC/vWvf5nLrly5orFjx6pGjRpydXVVuXLl1LdvX/3zzz8W5+YskV62bJkaNmwoNzc3jR49ulDXW5Brl5fnLE9fuHChXn31VQUFBcnLy0sRERE6ffq0Ll26pAEDBqhs2bIqW7as+vbtq6SkJIs2DcPQjBkz1KBBA7m7u6t06dLq1q2b/vrrr+vGk9fy8latWqlOnTqKiorSAw88IA8PD1WpUkUTJkzI84uWm1HQLRb/+c9/FBoaKldXV9WqVUtfffWV+VhcXJycnJz03nvv5Trvxx9/lMlk0uLFiyVJR44cUd++fVW9enV5eHioQoUKioiI0G+//WaVawCA4oakGwCg1NRUtW7dWvPmzdOwYcP03Xff6cknn9TEiRMtEqcdO3bI3d1dHTt21I4dO7Rjxw7NmDFDUnbSLknvvPOOvvvuO82ZM0dVqlRRq1atCnWv+LVCQ0PVvHlzLViwIFfyPGfOHFWoUEEdOnSQJMXExKhXr16aP3++Vq9erf79+2vSpEkaOHDgTX4iuR08eFCNGzfWgQMH9MEHH2j16tXq1KmThgwZYpWk8Gply5ZVtWrVNGPGDE2ZMkWHDh2SYRg31Za7u7vCw8MVGxur48eP51tvw4YNklTgbQM5x3Lq9u3bV9u3b9fhw4ct6q1fv14nT55U3759JUlZWVnq3LmzJkyYoF69eum7777ThAkTtGHDBrVq1UopKSkW5+/du1fDhw/XkCFDtHbtWj366KM3etmF9vrrr+vMmTOaO3euPvjgA23ZskWPP/64Hn30Ufn6+mrRokUaMWKE5s+fr9dff93i3IEDB2ro0KEKDw/XihUrNGPGDP3+++8KCwvT6dOnbyqe+Ph4PfHEE3ryySf17bff6qGHHtLIkSO1YMECa1xuvr799ltNnz5dY8aM0ZIlS1SpUiU9/vjjWrJkiaTsLy0eeeQRzZo1S5mZmRbnfvTRRypfvry6du0qSTp58qT8/Pw0YcIErV27Vh9//LGcnJzUtGlT/fHHHza9DgCwSwYAoMTp3bu34enpaX4/a9YsQ5LxzTffWNR7//33DUnG+vXrzWWenp5G7969r9tHRkaGkZ6ebrRt29bo2rWrxTFJxjvvvHPdNubMmWNIMpYtW2YuO3DggCHJeOONN/I8JzMz00hPTzfmzZtnODo6GufPnzcf6927t1GpUiXz+9jYWEOSMWfOnFztXBtjhw4djIoVKxoJCQkW9Z5//nnDzc3Nop+8SDIGDx6c57HFixcbkowffvjBXLZr1y7jrrvuMiQZkgxvb2/j4YcfNubNm2dkZWUVum3DMIxXX33VkGT8/PPP+dYZNGiQIck4dOhQvnWio6MNScazzz5rGIZhnD171nBxcTFef/11i3rdu3c3AgICjPT0dMMwDGPRokWGJGPp0qUW9aKiogxJxowZM8xllSpVMhwdHY0//vgj3zjyU6lSJaNTp075Hrt63P7www+GJCMiIsKi3tChQw1JxpAhQyzKu3TpYpQpU8b8fseOHYYk44MPPrCod+zYMcPd3d0YMWJEgbHmjO3Y2FhzWcuWLfP8OdWqVcvo0KFDge3lXGN+15/j2t8Bw8geP+7u7kZ8fLy5LCMjw6hRo4ZRrVo1c1nOZ7Z8+XJz2YkTJwwnJydj9OjR+faZkZFhXLlyxahevbrx0ksvXfc6AOBOw0z3dfz444+KiIhQ+fLlZTKZbnjH3lGjRuW5k6qnp6dtAgaAm7B582Z5enqqW7duFuU5y3E3bdpUqHZmzZqlRo0ayc3NTU5OTnJ2dtamTZsUHR19U3F1795d3t7emj17trls9uzZMplM5llUSfrll1/0yCOPyM/PT46OjnJ2dlZkZKQyMzP1559/3lTfV0tNTdWmTZvUtWtXeXh4KCMjw/zq2LGjUlNTb3iX8Otp3Lixjhw5orVr1+r1119Xs2bNtGnTJkVGRuqRRx65oZnvG6lbmHZydgT38/NTRESEvvjiC/Py5wsXLmjlypWKjIyUk1P21jGrV69WqVKlFBERYfHZNWjQQIGBgblWQtSrV0+hoaFWifl6rt3tu2bNmpKyNzq7tvz8+fPmJearV6+WyWTSk08+aXFNgYGBql+//k2t7pCkwMBANWnSxKKsXr16+vvvv2+qvcJq27atxQZ5jo6O6tGjh44cOWJeIdGqVSvVr1/f4paKWbNmyWQyacCAAeayjIwMjR8/XrVq1ZKLi4ucnJzk4uKiw4cP3/TfAgAozki6ryM5OVn169fXRx99dFPnv/LKKzp16pTFq1atWnrsscesHCkA3Lxz584pMDDQnEzl8Pf3l5OTk86dO3fdNqZMmaJnn31WTZs21dKlS7Vz505FRUXpwQcfzLV8uLA8PDzUs2dPrV27VvHx8crIyNCCBQvUsmVL84ZQR48e1QMPPKATJ05o2rRp2rZtm6KiosyJwc32fbVz584pIyNDH374oZydnS1eHTt2lCSdPXu2wDYcHR1zLcvNkZGRIUlydna2KHd2dlaHDh00btw4rVu3TseOHVOrVq20evVqff/994WOPydhK1++fL517rrrLklSbGxsvnVy7j8ODg42l/Xr108nTpwwLzlftGiR0tLSLO6fPn36tC5evCgXF5dcn198fHyuz+527uhdpkwZi/cuLi4FlqempkrKvibDMBQQEJDrmnbu3Hnd8ZAfPz+/XGWurq5WGccFCQwMzLfs6t//IUOGaNOmTfrjjz+Unp6uTz/9VN26dbM4f9iwYXrrrbfUpUsXrVq1Sj///LOioqJUv359m18HANgjdi+/joceekgPPfRQvsevXLmiN998U19++aUuXryoOnXq6P333zdvLOTl5SUvLy9z/f379+vgwYMFPnsWAG43Pz8//fzzzzIMwyLxPnPmjDIyMlS2bNnrtrFgwQK1atVKM2fOtCi/dOnSLcXWv39/ffrpp5o3b55CQ0N15swZffDBB+bjK1asUHJyspYtW6ZKlSqZy/ft23fdtt3c3CTJYrM4Sbm+ZChdurQcHR311FNPafDgwXm2Vbly5QL7CggI0IkTJ/I8llN+vUdx+fn5aejQodqyZYsOHDhgTvgLkpKSoo0bN6pq1aqqWLFivvXatWun119/XStWrNCDDz6YZ52c1V7t2rUzl3Xo0EHly5fXnDlz1KFDB82ZM0dNmza1ePxc2bJl5efnl++u597e3hbvr/3yxx6VLVtWJpNJ27Ztk6ura67jeZXZs/j4+HzLrv4ioFevXnr11Vf18ccf67777lN8fHyu34kFCxYoMjJS48ePtyg/e/asSpUqZf3gAcDOkXTfor59+youLk5fffWVypcvr+XLl+vBBx/Ub7/9purVq+eq/9lnnyk0NDTP3V4BoKi0bdtW33zzjVasWGHeDEmS5s2bZz6eI79ZN5PJlCvR+PXXX7Vjxw6LmdEb1bRpU9WpU0dz5sxRaGiofH19LTbWyknQru7bMAx9+umn1207ICBAbm5u+vXXXy3KV65cafHew8NDrVu31i+//KJ69eqZZz1vRHh4uJYtW6Z//vnH4lFRhmFo8eLFCgkJUbVq1SRJ6enpSkxMzHPWM2d5bkGz1jkyMzP1/PPP69y5c3nuOn21e++9V+3bt9fnn3+up556Svfff7/F8e3bt2v27Nl68MEHdc8995jLc76MmDp1qrZt26bdu3frP//5j8W5Dz/8sL766itlZmaqadOm1427OHj44Yc1YcIEnThxQt27dy/qcG7Zpk2bdPr0afMXP5mZmfr6669zfVnj5uamAQMG6KOPPtJPP/2kBg0a5Boref0t+O6773TixAnzGAeAkoSk+xbExMRo0aJFOn78uPkfP6+88orWrl2rOXPm5PqGNy0tTV9++aVee+21oggXAPIVGRmpjz/+WL1791ZcXJzq1q2r7du3a/z48erYsaPCw8PNdevWrastW7Zo1apVCgoKkre3t+6++249/PDDevfdd/XOO++oZcuW+uOPPzRmzBhVrlzZvHz6ZvXr10/Dhg3TH3/8oYEDB1o8s7ldu3ZycXHR448/rhEjRig1NVUzZ87UhQsXrttuzj25s2fPVtWqVVW/fn3t2rVLCxcuzFV32rRpat68uR544AE9++yzCgkJ0aVLl3TkyBGtWrVKmzdvLrCvt99+W6tWrVLTpk312muvqXr16oqPj9enn36qqKgoffPNN+a6CQkJCgkJ0WOPPabw8HAFBwcrKSlJW7Zs0bRp01SzZk2LXeWl7OXOO3fulGEYunTpkg4cOKB58+Zp//79eumll/TMM89c9/OYN2+ewsPD1b59ew0ZMsT8ZcvmzZs1bdo01ahRI8/Hq/Xr10/vv/++evXqJXd3d/Xo0cPieM+ePfXll1+qY8eOevHFF9WkSRM5Ozvr+PHj+uGHH9S5c2eLL3uKg/vvv18DBgxQ3759tXv3brVo0UKenp46deqUtm/frrp16173uei2EB8fb95x/GohISG699578z2vbNmyatOmjd566y15enpqxowZOnTokMVjw3I899xzmjhxovbs2aPPPvss1/GHH35Yc+fOVY0aNVSvXj3t2bNHkyZNKnClBQDc0YpuD7fiR9fs2PnNN98YkgxPT0+Ll5OTk9G9e/dc5y9cuNBwcnIyTp06dRujBoDcrt293DAM49y5c8agQYOMoKAgw8nJyahUqZIxcuRIIzU11aLevn37jPvvv9/w8PAwJBktW7Y0DMMw0tLSjFdeecWoUKGC4ebmZjRq1MhYsWJFvrslF2b38hz//POP4eLiYkgydu3alev4qlWrjPr16xtubm5GhQoVjOHDhxvff/99rh3B84olISHBePrpp42AgADD09PTiIiIMOLi4vKMMTY21ujXr59RoUIFw9nZ2ShXrpwRFhZmjB07tlDXcfjwYePJJ580f8alSpUy2rdvb2zatMmiXlpamjF58mTjoYceMu666y7D1dXVcHNzM2rWrGmMGDHCOHfunEV9/W+Hc0mGg4OD4ePjY9StW9cYMGCAsWPHjkLFliMpKckYP3680aBBA8PDw8Pw8PAw6tWrZ4wdO9ZISkrK97ywsDBDkvHEE0/keTw9Pd2YPHmy+efk5eVl1KhRwxg4cKBx+PBhc73C7MCdn5vZvXzx4sUW9XJ2FY+KirIof+eddwxJxj///GNRPnv2bKNp06aGp6en4e7ublStWtWIjIw0du/eXWCs+e1eXrt27Vx18xq3+V3j1WPh6lfOtef3+zh48GBjxowZRtWqVQ1nZ2ejRo0axpdffplvX61atTLKlCljXL58OdexCxcuGP379zf8/f0NDw8Po3nz5sa2bduMli1bmv9eAEBJYjIMK21pWgKYTCYtX77c/JzSr7/+Wk888YR+//13OTo6WtT18vLKtSlJ27Zt5ePjo+XLl9+ukAEAAKzqzJkzqlSpkl544QVNnDixqMMBALvH8vJb0LBhQ2VmZurMmTPXvUc7NjZWP/zwg7799tvbFB0AAID1HD9+XH/99ZcmTZokBwcHvfjii0UdEgAUCyTd15GUlKQjR46Y38fGxmrfvn0qU6aMQkND9cQTTygyMlIffPCBGjZsqLNnz2rz5s2qW7euxa6ys2fPVlBQUIE7oQMAANirzz77TGPGjFFISIi+/PJLVahQoahDAoBigeXl17Flyxa1bt06V3nv3r01d+5cpaena+zYsZo3b55OnDghPz8/NWvWTKNHj1bdunUlSVlZWapUqZIiIyM1bty4230JAAAAAIAiQtINAAAAAICNOBR1AAAAAAAA3KlIugEAAAAAsJE7ciO1UaNGafTo0RZlAQEBio+PL9T5WVlZOnnypLy9vWUymWwRIgAAAACgGDMMQ5cuXVL58uXl4JD/fPYdmXRLUu3atbVx40bz+2ufo12QkydPKjg42BZhAQAAAADuIMeOHVPFihXzPX7HJt1OTk4KDAy8qXO9vb0lZX94Pj4+1gzLqtLT07V+/Xq1b99ezs7ORR0OcEMYvyjOGL8ozqwyfg8elJ59VnJ3lzw8rBvgjYqPlw4dkoKCJF/foo3lwgXp1KnsWEqXLtpY7C2elBTpyhVpzhypSZObaoK/vbA3iYmJCg4ONueP+bljk+7Dhw+rfPnycnV1VdOmTTV+/HhVqVIlz7ppaWlKS0szv7906ZIkyd3dXe7u7rcl3pvh5OQkDw8Pubu784cHxQ7jF8UZ4xfFmVXGr4dHdsLt5ycV9QRFWlp2PKVLS+XKFW0shiElJGQn/wEBRRuLvcVz6VJ2LO7u2a+bwN9e2Jv09HRJuu4tyXfkI8O+//57Xb58WaGhoTp9+rTGjh2rQ4cO6ffff5efn1+u+nndAy5JCxculEdRf3sLAAAAALA7ly9fVq9evZSQkFDgCuk7Mum+VnJysqpWraoRI0Zo2LBhuY5fO9Ods0zg7Nmzdr+8fMOGDWrXrh3f9qHYYfyiOGP8ojizyviNjpYGDbKPme6jR6X9+6WQkKKf6Y6Pl/7+W7rrruwl3UXNnuLJmemePfuWlpfztxf2JDExUWXLlr1u0n3HLi+/mqenp+rWravDhw/nedzV1VWurq65yp2dnYvFL3RxiRPIC+MXxRnjF8XZLY1fB4fs+3PT06WMDOsGdqOuXMm+XzgtLfu/i1Jamv3EYm/xpKVJqanZY+cW/27ytxf2orDjsEQ8pzstLU3R0dEKKupv+AAAAAAAJcodmXS/8sor2rp1q2JjY/Xzzz+rW7duSkxMVO/evYs6NAAAAABACXJHLi8/fvy4Hn/8cZ09e1blypXTfffdp507d6pSpUpFHRoAAAAAoAS5I5Pur776qqhDAAAAAADgzlxeDgAAAACAPSDpBgAAAADARki6AQAAAACwEZJuAAAAAABshKQbAAAAQJ7+ciutP93LFnUYQLFG0g0AAAAgT++FtFaHhv31RWCjog4FKLZIugEAAADkcsAzQBv8QiVJ9yf8XcTRAMUXSTcAAACAXKYH3y9Jijh7UNVSzhVxNEDxRdINAAAAwMJBD3+t9wuVyTA05NhPRR0OUKyRdAMAAACwkDPL3elsNLPcwC0i6QYAAABgFu1RTmvL3s0sN2AlJN0AAAAAzHJmuTueO6TQlLNFHA1Q/JF0AwAAAJAkHfIop+/L1pAkDTn23yKOBrgzkHQDAAAAkCR9GBwmSep49pDuvswsN2ANJN0AAAAA9IdHWa3xY5YbsDaSbgAAAACaHny/DJNJD509pBqX/ynqcIA7Bkk3AAAAUMIddvdjlhuwEZJuAAAAoITLmeXucO4P1WSWG7Aqkm4AAACgBDvi7qfVZWtKYpYbsAWSbgAAAKAEmx4cJsNkUvtzf6p28pmiDge445B0AwAAACXUEfcyWlW2liRmuQFbIekGAAAASqiPKmbPcoefO6w6yaeLOhzgjkTSDQAAAJRAMe5l9G257FnuF49tL+JogDsXSTcAAABQAn1UMUxZJgeFnz+susxyAzZD0g0AAACUMH+5ldbKnFnuo8xyA7ZE0g0AAACUMB8FZ89ytzl/hFluwMZIugEAAIASJM6tlFaWqy2Je7mB24GkGwAAAChBPqx4vzJNDmp9/ojqJ8UXdTjAHY+kGwAAACgh/nYrpRX+ObPcPJcbuB1IugEAAIAS4qOKYco0OajlhRg1SDpV1OEAJQJJNwAAAFACHHX11TL/OpKkF48yyw3cLiTdAAAAQAnwUXD2LHeLC3+pUdLJog4HKDFIugEAAIA73DFXXy0r979ZbnYsB24rkm4AAADgDvdxxWbKcHDUAxdidc8lZrmB24mkGwAAALiDHfMooyX+dSUxyw0UBZJuAAAA4A42o2Y7ZTg4qvnFWN176URRhwOUOCTdAAAAwB3quE85LQ65TxI7lgNFhaQbAAAAuEPNaNpNGQ6OCrsYp8aXjhd1OECJRNINAAAA3IFOuJfW4rrhkqQXjzHLDRQVkm4AAADgDjSjRrjSHZ3V7Myfapp4rKjDAUoskm4AAADgDnPSxVvfVP7fvdy/ry3iaICSjaQbAAAAuMPMrHif0h2c1PTob7rv7JGiDgco0Ui6AQAAgDvIKRdvfR1QX5I09KdFRRwNAJJuAAAA4A4ys+J9uuLgpCb/HFGzYweKOhygxCPpBgAAAO4Q8S5e+ipnlvsg93ID9oCkGwAAALhDzKqQPcvdOOGYmv1zuKjDASCSbgAAAOCOcNrFSwsDG0iShh7bLlPRhgPgf0i6AQAAgDvAzP/Nct+beExhCX8XdTgA/oekGwAAACjmzjh7atH/7uV+8eh/meUG7AhJNwAAAFDMzap4n9IcnXVP4nE1T4gr6nAAXIWkGwAAACjGzjh76suABpKkF7mXG7A7JN0AAABAMfafCk2V5uishokn9MDFuKIOB8A1SLoBAACAYuofZw99GdhQErPcgL0i6QYAAACKqU8qNFWqo7MaXDqhlhdjizocAHkg6QYAAACKoX+cPTQ/sJEkdiwH7BlJNwAAAFAMffq/We76l06q1cW/ijocAPkg6QYAAACKmbPOHppvvpebWW7AnpF0AwAAAMXMp+WbKMXRRfUunVLrCzFFHQ6AApB0AwAAAMXIOSd3zQv6373c7FgO2D2SbgAAAKAY+bRC9ix33aRTasMsN2D3SLoBAACAYuK8k7vmBd0jSRrCvdxAsUDSDQAAABQTn5VvrMuOLqqdFK/w80eKOhwAhUDSDQAAABQDF5zc9EX57FludiwHio87Pul+7733ZDKZNHTo0KIOBQAAALhpn5VvomRHV9VKOq125w8XdTgACumOTrqjoqL0ySefqF69ekUdCgAAAHDTLjq56Qvu5QaKpTs26U5KStITTzyhTz/9VKVLly7qcAAAAICb9nn5xkpyclXNpNNqf/7Pog4HwA1wKuoAbGXw4MHq1KmTwsPDNXbs2ALrpqWlKS0tzfw+MTFRkpSenq709HSbxnkrcmKz5xiB/DB+UZwxflGcWWX8ZmVJLi6Ss7PkVMT/nHRxkdzdJVfX7P8uSq6uNonloqObZpe/V5I0OP5nZbq4KLMI47kprq6Sm1v22LnJscffXtibwo5Fk2EYho1jue2++uorjRs3TlFRUXJzc1OrVq3UoEEDTZ06Nc/6o0aN0ujRo3OVL1y4UB4eHjaOFgAAAMjfmqMOWnfCQUEehkbUy5QDa8sBu3D58mX16tVLCQkJ8vHxybfeHZd0Hzt2TPfee6/Wr1+v+vXrS9J1k+68ZrqDg4N19uzZAj+8opaenq4NGzaoXbt2cnZ2LupwgBvC+EVxxvhFcWaV8RsdLQ0aJPn5SUX9b6WjR6X9+6WQEKlcuaKNJT5e+vtv6a67pKAgqzSZ4OiqVvWeVpKTq6YfWaWHLtzABmo2iOemXbokJSRIs2dLTZrcVBP87YW9SUxMVNmyZa+bdN9xy8v37NmjM2fO6J577jGXZWZm6v/Yu+/4qur7j+Pvm+TmZgeygIRAwghTmbIEEWRqEVexpRUEbUWtVLHu/lTc2jpwoG0VEBzFBXWCiLKhMgKCskkIhASSQPa6yT2/Py6JpgmQhHtzbpLX8/HwIfecc89533Du5X7yXWvWrNGrr76qkpISeXt7V3mOzWaTzWardi6r1doo3tCNJSdQE+5fNGbcv2jMzuv+9fKSSkud3YTLylwbrK5KS6WiIqmkxPlnM5WUuDzLotgByvexqUvBCf3q+I91m5DJDXnqraREKi523jvn+bnJZy88RW3vwyZXdF922WXauXNnlW3Tpk1T165ddd9991UruAEAAABPlONtqxzLPfPI+qY7AzLQxDW5ojs4OFg9e/assi0wMFDh4eHVtgMAAACean50f+X5+CmhIEPjs/aaHQdAPfELMwAAAMDD5HrbNC/6IknSHUdp5QYasybX0l2TVatWmR0BAAAAqLUFbfop18dPnQszdHkmrdxAY8YvzQAAAAAPkutt05sxzhm+7ziyQd5qUosNAc0ORTcAAADgQd4+3crdsTBTV2TuMTsOgPNE0Q0AAAB4CIecXcsl54zltHIDjR9FNwAAAOAhDvmHK8s3UH7ldl3OjOVAk0DRDQAAAHiIbcExkqQL89NlNRwmpwHgChTdAAAAgIfYFhwtSeqTl2pyEgCuQtENAAAAeIiKlu6+FN1Ak0HRDQAAAHiAXG+b9gdESKLoBpoSim4AAADAA2wPbiPDYlFscbYi7YVmxwHgIhTdAAAAgAegaznQNFF0AwAAAB6gsujOpegGmhKKbgAAAMBkDkmJp2cup6UbaFoougEAAACTHfQPV56Pn/zK7epamGF2HAAuRNENAAAAmKyia/mF+WmyGg6T0wBwJYpuAAAAwGTbQphEDWiqKLoBAAAAk22rHM99zOQkAFyNohsAAAAwUY63TfsDIiXR0g00RRTdAAAAgIm2n27lbld0ShH2QpPTAHA1im4AAADARCwVBjRtFN0AAACAiSpmLmc8N9A0UXQDAAAAJnGIlm6gqaPoBgAAAExy0D9ceT5+8i8vVdeCE2bHAeAGFN0AAACASSq6ll+Yny4fGSanAeAOFN0AAACASbaFVIznpms50FRRdAMAAAAm2cZ4bqDJo+gGAAAATJDjbdP+gEhJUh9mLgeaLIpuAAAAwATbT7dytys6pQh7oclpALgLRTcAAABggp/X56ZrOdCUUXQDAAAAJvh5PDddy4GmjKIbAAAAaGAO/dy9nJZuoGmj6AYAAAAa2AH/COX5+Mm/vFRdC06YHQeAG1F0AwAAAA1sW4izlfvC/HT5yDA5DQB3ougGAAAAGhiTqAHNB0U3AAAA0MAouoHmg6IbAAAAaEA53jYdCIiQJPVh5nKgyaPoBgAAABpQ4ulZy9sXnVKEvdDkNADcjaIbAAAAaEB0LQeaF4puAAAAoAElUnQDzYqP2QEq5OTkaMWKFUpOTpbFYlF8fLxGjRqlkJAQs6MBAAAALuGQtD24jSTGcwPNhUcU3e+8847+9Kc/KTc3t8r20NBQvfHGG7r++utNSgYAAAC4zv6ACOX5+CmgvFRdC06YHQdAAzC9e/m2bds0bdo0XXXVVUpMTFRRUZEKCwu1ZcsWTZgwQTfccIN27NhhdkwAAADgvFWM574wP00+MkxOA6AhmN7S/corr+iqq67SggULqmzv27evFi5cqMLCQs2ZM0fz5s0zJyAAAADgIhUzl/fNZTw30FyY3tK9fv163XLLLWfcP2PGDK1bt64BEwEAAADu8fPM5YznBpoL04vuY8eOKSEh4Yz7ExISlJrKbwIBAADQuOV423QgIEKS1IeZy4Fmw/Siu7CwUH5+fmfcb7PZVFxc3ICJAAAAANer6FoeV3RS4WVFJqcB0FBMH9MtScuXL1doaGiN+7Kzsxs2DAAAAOAGdC0HmiePKLqnTp161v0Wi6WBkgAAAADukXi66KZrOdC8mF50OxwOsyMAAAAAbuWQtD24jSSpL0U30KyYPqYbAAAAaOr2B0Qoz8dPAeWl6lKQYXYcAA3I9KL7wIED2rp1a5VtK1eu1IgRIzRgwAA99dRTJiUDAAAAXKNiPHevvDT5yDA5DYCGZHrRfc8992jp0qWVj5OSkjRhwgT5+vpq8ODBevrpp/XSSy+Zlg8AAAA4Xz9PokbXcqC5MX1M95YtW3TvvfdWPn733XeVkJCg5cuXS5IuvPBCvfLKK7rzzjtNSggAAACcn22nlwuj6AaaH9NbujMzM9W2bdvKx999950mTJhQ+fjSSy9VcnKyCckAAACA85ft46eDARGSpD4sFwY0O6YX3WFhYUpLS5PknMl8y5YtGjhwYOX+0tJSGQbjXgAAANA4JQY5W7nji04qrKzI5DQAGprpRffw4cP1+OOP68iRI3rppZfkcDg0YsSIyv0//fST4uLizAsIAAAAnIfEENbnBpoz08d0P/nkkxo9erTi4uLk5eWll19+WYGBgZX7Fy1apJEjR5qYEAAAAKi/ivHcdC0HmifTi+74+Hjt3r1bP/30kyIjIxUdHV1l/+zZs6uM+QYAAAAai3JZtD2ISdSA5sz0oluSrFarevXqVeO+M20HAAAAPN3+gAjl+9gUUF6qLgUZZscBYALTi+7p06fXuD00NFRdunTR73//ewUFBTVwKgAAAOD8VXQt75WXJh8xOTDQHJk+kdqpU6dq/G/79u16+OGH1aVLFx06dMjsmAAAAECdbQt2TqJG13Kg+TK9pXvJkiVn3FdUVKQpU6bo/vvv1wcffNCAqQAAAIDzR9ENwPSW7rPx9/fXfffdp02bNpkdBQAAAKiTbB8/HQoIl8TM5UBz5tFFtySFhYUpOzvb7BgAAABAnSSeHs8dX3RSYWVFJqcBYBaPL7o3bNigjh071uk5r7/+ui688EKFhIQoJCREgwcP1ldffeWmhAAAAEB1FV3L+9C1HGjWTB/T/cMPP9S4PScnR5s3b9ZTTz2lJ554ok7nbNu2rZ555hl16tRJkvT2229r4sSJSkxMVI8ePc47MwAAAHAuFS3djOcGmjfTi+7evXvLYrHIMKovoRAZGan77rtPM2bMqNM5J0yYUOXxk08+qddff12bNm2i6AYAAIDblcui7UGni+5cxnMDzZnpRXdSUlKN20NDQ9WiRYvzPn95ebk+/PBDFRQUaPDgwTUeU1JSopKSksrHubm5kiS73S673X7eGdylIpsnZwTOhPsXjRn3Lxozl9y/Dofk6ytZrZKPyV8nfX0lf3/JZnP+2Uw2W2WWvaFtlO9jU2B5qTqU5chuRrZf5PGIn42fn/Peqee9x2cvPE1t70WLUVMTcxOwc+dODR48WMXFxQoKCtJ7772nyy+/vMZjH330Uc2ePbva9vfee08BAQHujgoAAIAmZsNxixYf8lbnEIf+1MNhdhwAblBYWKjJkycrJydHISEhZzyuyRbdpaWlSklJUXZ2tj7++GO9+eabWr16tbp3717t2JpaumNjY5WZmXnWH57Z7Ha7VqxYodGjR8tqtZodB6gT7l80Zty/aMxccv/u3i3NmCGFh0tmf1dKSZF27JDi4qTISHOzpKdLhw9L7drpvsFT9UlkT916bJNmpW4wPY/atDEnQ4W8PCknR5o3TxowoF6n4LMXniY3N1cRERHnLLpN717uLr6+vpUTqfXv31+bN2/WnDlz9I9//KPasTabTTabrdp2q9XaKN7QjSUnUBPuXzRm3L9ozM7r/vXykkpLnd2Ey8pcG6yuSkuloiKppMT5ZzOVlFRm2R7oLHIvyj4iq1m5fpHHI342xcXOe+c8Pzf57IWnqO196PFLhrmKYRhVWrMBAAAAd8i2BuhQQLgklgsD0ERbuh988EGNHz9esbGxysvL07///W+tWrVKy5YtMzsaAAAAmrjE8DhJUoeiLLUsKzY3DADTeVTRnZ2drY8++kgHDx7UPffco7CwMG3btk2tWrVSTExMrc9z/Phx3XDDDUpLS1NoaKguvPBCLVu2TKNHj3ZjegAAAEDadrro7sNSYQDkQUX3Dz/8oFGjRik0NFTJycn6wx/+oLCwMC1ZskSHDx/WwoULa32ut956y41JAQAAgDPbFh4vSepL13IA8qAx3bNmzdKNN96o/fv3y8/Pr3L7+PHjtWbNGhOTAQAAALVTbvHS9rD2kii6ATh5TNG9efNm3XLLLdW2x8TEKD093YREAAAAQN3si2inAqufgspKlFCYaXYcAB7AY4puPz8/5ebmVtu+d+9eRZq95iIAAABQC9uiu0iSeuWnyVuGyWkAeAKPKbonTpyoxx57THa7XZJksViUkpKi+++/X9dee63J6QAAAIBz2xbdVRJdywH8zGOK7r///e/KyMhQVFSUioqKNHz4cHXq1EnBwcF68sknzY4HAAAAnFPi6ZZuim4AFTxm9vKQkBCtW7dO3377rbZt2yaHw6G+fftq1KhRZkcDAAAAzumUb4AOhbWVJPXJY7kwAE4eU3RXGDlypEaOHGl2DAAAAKBOEsPiJEkdco+rRVmxuWEAeAyPKbofe+yxs+5/+OGHGygJAAAAUHfbwuMkSX2zkswNAsCjeEzRvWTJkiqP7Xa7kpKS5OPjo44dO1J0AwAAwKNtC4+XJPXNSjY3CACP4jFFd2JiYrVtubm5uvHGG3X11VebkAgAAAConXJZtKNlO0mnW7qDLCYnAuApPGb28pqEhIToscce0//93/+ZHQUAAAA4o70BkSqw+imopFCdc9PNjgPAg3h00S1J2dnZysnJMTsGAAAAcEbbQqIlSb3S98lbhslpAHgSj+le/vLLL1d5bBiG0tLStGjRIo0bN86kVAAAAMC5JQbFSJL6pu41OQkAT+MxRfeLL75Y5bGXl5ciIyM1depUPfDAAyalAgAAAM4t8XRLd99je0xOAsDTeEzRnZTE0goAAABofE75+OmQf7gkqU/aXql1hMmJAHgSjx/TDQAAAHiyxGBn1/IOucfVojjf5DQAPI2pLd3XXHNNrY/95JNP3JgEAAAAqJ9twae7lp9MNjcIAI9katEdGhpq5uUBAACA87btdEt33yyGSwKoztSie/78+WZeHgAAADgv5bJoR3AbSVLfrGRzwwDwSIzpBgAAAOppb0CkCrxtCiorUefcdLPjAPBAHjN7uSR99NFH+uCDD5SSkqLS0tIq+7Zt22ZSKgAAAKBm204vFdY7/5i8ZZicBoAn8piW7pdfflnTpk1TVFSUEhMTNWDAAIWHh+vQoUMaP3682fEAAACAairHc+cdMzkJAE/lMUX33Llz9c9//lOvvvqqfH19de+992rFihWaOXOmcnJyzI4HAAAAVFOxXFif3FSTkwDwVB5TdKekpGjIkCGSJH9/f+Xl5UmSbrjhBr3//vtmRgMAAACqOenjryT/MElS3zyKbgA185iiu3Xr1srKypIktW/fXps2bZIkJSUlyTAYHwMAAADPknh6fe6OhZkKLS8xOQ0AT+UxRffIkSP12WefSZJuuukm3XXXXRo9erSuv/56XX311SanAwAAAKpiPDeA2jB99vKlS5dqwoQJ+uc//ymHwyFJmjFjhsLCwrRu3TpNmDBBM2bMMDklAAAAUNXPRTddywGcmelF93XXXaeIiAhNnTpV06dPV5cuXSRJkyZN0qRJk0xOBwAAAFRXJot2BLeRRNEN4OxM716ekpKiO+64Q0uWLFH37t01dOhQzZ8/XwUFBWZHAwAAAGq0NzBShd6+Ci4rVufCTLPjAPBgphfd0dHReuihh7Rv3z59++236tixo2bOnKk2bdro5ptv1saNG82OCAAAAFRR0bW8d16a+V+oAXg0j/qMGD58uN5++22lpaXphRde0O7duzV06FD16NHD7GgAAABApcr1uelaDuAcTB/TXZOgoCCNGDFCycnJ2rNnj/bt22d2JAAAAKDSttPLhTGeG8C5eFRLd2Fhod5++20NHz5cCQkJWrx4sWbNmqXk5GSzowEAAACSpCwffyX7h0mS+rBcGIBz8IiW7vXr12vevHn68MMPVVZWpmuuuUbffPONRowYYXY0AAAAoIqKruWdCjMVWl5ichoAns70ojshIUEHDx5Unz599Oyzz2ry5MkKDQ01OxYAAABQI7qWA6gL04vucePG6aabblKvXr3MjgIAAACcU0VLN0U3gNowveh++eWXzY4AAAAA1EqZLNoR3EaS1DeX8dwAzs2jJlIDAAAAPNnewEgVevsquKxYnYoyzY4DoBGg6AYAAABqadvpruW9847xRRpArfBZAQAAANRSxXhulgoDUFsU3QAAAEAtMXM5gLoydSK1ukyiNnPmTDcmAQAAAM4uy8dfyf5hkmjpBlB7phbdL774Yq2Os1gsFN0AAAAwVUXX8k6FmQotLzE5DYDGwtSiOykpyczLAwAAALVG13IA9cGYbgAAAKAWtoU4W7opugHUhakt3f/r6NGj+vTTT5WSkqLS0tIq+1544QWTUgEAAKC5K5NFO4LaSJL65jKeG0DteUzRvXLlSl155ZWKj4/X3r171bNnTyUnJ8swDPXt29fseAAASJKOnirU5ztSlXHSomHFZQqzWs2OBKAB7AmMUpG3r4LLitWpKNPsOAAaEY8puh944AHdfffdeuyxxxQcHKyPP/5YUVFR+t3vfqdx48aZHQ8A0MyVlJXrX2sO6dXvDqjY7pDkrbef/k5927fU8IRIDU+IVPc2IfLyspgdFYAbJJ4ez9077xjjMwHUiccU3bt379b7778vSfLx8VFRUZGCgoL02GOPaeLEibr11ltNTggAaK5W7T2hRz/9UclZhZKkC2NClJaVo4xi6fukk/o+6aT+tnyvIoJsuiQhQsMTIjWsc6TCAn1NTg7AVbYFV4znpms5gLrxmKI7MDBQJSXOpReio6N18OBB9ejRQ5KUmUkXHgBAwzt6qlCPf/6Tlv94XJIUFWzTQ1d00/jukfrqq6/UY9Cl2njolFbvy9CGg1nKzC/RJ9tS9cm2VFks0oVtW5xuBY9Qr7Yt5ONN+xjQWP1cdDOJGoC68Ziie9CgQVq/fr26d++uK664Qnfffbd27typTz75RIMGDTI7HgCgGfnfruTeXhZNGxKnP4/qrGA/q+x2uySpfViAOrUK1Q2D41RSVq6tyae0en+GVu/N0J70PO04kq0dR7L18sr9CvHz0bDOzm7olyREqnWon8mvEkBtZVoDdNi/pSRn93IAqAuPKbpfeOEF5efnS5IeffRR5efna/HixerUqZNefPFFk9MBAJqLVXtPaPZnPykps0CSNDA+TI9N7KkurYPP+jybj7eGdIrQkE4RemB8N6XnFGvN/gyt3pehtfsylFtcpi92pumLnWmSpK6tgyvHgveLaymbj7fbXxuA+qkYz925MEOh5SUmpwHQ2HhM0d2hQ4fKPwcEBGju3LkmpgEANDf/25U8Mtimv17RTVf2ipbFUvfJ0VqH+mlS/1hN6h+rsnKHdhzN0ep9ziL8h6PZ2pOepz3pefrHmkMK8PXWkI7hla3g7cMDXf3yAJwHxnMDOB8eVXRv3rxZ4eHhVbZnZ2erb9++OnTokEnJAABNWUlZud5cm6RXvt1fY1dyV/Dx9lK/9i3Vr31LzRqdoJMFpVp3IFOr9zqL8Mz8En2z+4S+2X1CkhQXHuBsBe8SqUEdwhXg6zH/XAPNUmXRnct4bgB15zH/iicnJ6u8vLza9pKSEqWm8gEHAHC91fsy9OinP9a5K/n5Cgv01ZW9onVlr2g5HIZ2p+c6W8H3Zmjr4VNKzipU8sbDenvjYfl6e2lAfFhlEd45KqheLe8A6qdMFv0Q1FoSk6gBqB/Ti+5PP/208s/Lly9XaGho5ePy8nKtXLlScXFxJiQDADRVqdlFevyzn7Tsx3RJ59+V/Hx4eVnUIzpUPaJDddulnZRXbNeGg1mVRXhqdpHWHcjUugOZevLL3WoT6qdLOjsL8Is7RSjU3zWt8QBqticwSkXevgopK1bHoiyz4wBohEwvuq+66ipJksVi0dSpU6vss1qtiouL0/PPP29CMgBAU9MQXcnPV7CfVWN7tNbYHq1lGIYOZRZUdkPfdChLaTnFWrzliBZvOSJvL4v6xLaobAXvGR0qLy9awQFXquha3jvvmFj0D0B9mF50OxwOSVJ8fLw2b96siIgIkxMBAJqi/+1KPiA+TI83QFfy82GxWNQxMkgdI4M0fWi8iu3l+m/SydNF+AkdzCjQlsOntOXwKT2/Yp/CAn11SecIDe8SqWGdIxURZDP7JQCN3rbTM5fTtRxAfZledFdISkoyOwIAoAnypK7k58vP6l25zJjUXUdOFmrN/gyt2Zeh9QeydLKgVEu3H9PS7c4ZlnvGhJw+Pkp92rWQ1Zt2OqCuEitnLqfoBlA/HlN0S9Lq1av197//Xbt375bFYlG3bt10zz33aNiwYWZHAwA0MjV1Jb9xSJzu9KCu5OcrNixAvxvYXr8b2F72coe2HT5VuSzZj8dytSvV+d9r3x1UsM1HF3dytoJfkhCpmBb+ZscHPF6mNUCH/VvKYhjqnZdmdhwAjZTHFN3vvPOOpk2bpmuuuUYzZ86UYRjasGGDLrvsMi1YsECTJ082OyIAoJGoqSv5YxN7qGvrEJOTuY/V20sDO4RrYIdw3Tuuq07kFWvtvkyt3pehtfszdKrQrmU/ple2+HeOCqocC35RXJj8rN4mvwLA8ySe7lreuTBTIeUlJqcB0Fh5TNH95JNP6rnnntNdd91Vue3Pf/6zXnjhBT3++OMU3QCAc0rNLtITn/+kr3b93JX8ocu7aWLvxteV/HxFBfvp2n5tdW2/tip3GNqVmlPZCp6Yckr7T+Rr/4l8vbkuSX5WLw3qEF7ZdT0+IrDZ/byAmmyjazkAF/CYovvQoUOaMGFCte1XXnmlHnzwQRMSAQAai4qu5K9+e0BF9vIm2ZX8fHh7WdQrtoV6xbbQzMs6K6fQrnUHMrV63wmt3peh47klWrU3Q6v2ZkiSYsP8K8eCD+4YriCbx3xdABrUz0X3MZOTAGjMPOZf0djYWK1cuVKdOnWqsn3lypWKjY2t07mefvppffLJJ9qzZ4/8/f01ZMgQPfvss+rSpYsrIwMAPMCafRl65JddyePC9NhVTbsr+fkKDbDqigvb6IoL28gwDO09nle5LNnm5JM6crJI72xK0TubUmT1tqh/+zDnWPDOkerWJphWcDQLZbLoh6DWkmjpBnB+TC+6p0+frjlz5ujuu+/WzJkztX37dg0ZMkQWi0Xr1q3TggULNGfOnDqdc/Xq1br99tt10UUXqaysTA899JDGjBmjn376SYGBgW56JQCAhkRXctewWCzq2jpEXVuH6JbhHVVQUqZNh7K0ep+z5TvlZKE2HsrSxkNZeuarPYoKtumS093Qh3WOUIsAX7NfAuAWewKjVOTtq5CyYnUoyjI7DoBGzPSi++2339YzzzyjW2+9Va1bt9bzzz+vDz74QJLUrVs3LV68WBMnTqzTOZctW1bl8fz58xUVFaWtW7fqkksucVl2AEDDq6kr+dTBcbpzdGeF0JX8vAXafHRZt1a6rFsrSVJyZkHlWPCNB7N0Iq9EH209qo+2HpWXReoV26JyLPiFbVvI24tfeKBpqOha3icvVSy2B+B8mF50G4ZR+eerr75aV199tcuvkZOTI0kKCwurcX9JSYlKSn6ekTI3N1eSZLfbZbfbXZ7HVSqyeXJG4Ey4f1Efaw9k6vHP9ygpq1CS1L99Cz36q27q0jpYUsPdT83p/o0J9dXki2I0+aIYldjLtSUlW2v3Z2rN/kztP1GgxJRsJaZk66Vv9quFv1UXdwrXsE7hGtY5QlHBNrPjowYuuX8dDsnXV7JaJR+Tv076+kr+/pLN5vyzi2xp4Rze2KvwuOy1Pa/N5pYs9eZJeWw2yc/Pee/U895rTp+9aBxqey9ajF9WvSbw8vLS8ePHFRkZ6ZbzG4ahiRMn6tSpU1q7dm2Nxzz66KOaPXt2te3vvfeeAgIC3JILAFB7eXbpw0Ne2nHS2d4UbDU0sb1D/SMM0ZPcPKdKpD3ZFu3JtmhvjkVF5VX/MmICDHVtYahbC0PxwYZ8aC5EI/LYNm9llVh0a7dydW1h6tdlAB6qsLBQkydPVk5OjkJCzjyXjEcU3aGhoeccf3fy5Ml6nf/222/XF198oXXr1qlt27Y1HlNTS3dsbKwyMzPP+sMzm91u14oVKzR69GhZrXSpROPC/Yu6uP397fr6pxPy9rLohoGxmjmyo6mzknP/VldW7tCOozlasz9Law9kamdqbpX9gb7eGtwhTMM6R2hY53DFtuSX2mZxyf27e7c0Y4YUHi6Z/V0pJUXasUOKi5Nc1IiT5eOvQX1ulcUwtDXxNQWXl9buienp0uHDUrt2Ups2LslyXjwpT16elJMjzZsnDRhQr1Pw2QtPk5ubq4iIiHMW3aZ3L5ek2bNnKzQ01OXnveOOO/Tpp59qzZo1Zyy4Jclms8lmq94Fzmq1Noo3dGPJCdSE+xfnklds16q9mZKkd28eqEEdwk1O9DPu359ZrdKgTlEa1ClK90rKzC/Ruv2ZWr0vQ2v2ZSiroFTf7MnQN3ucy5J1iAzUJZ0jNbxLpAbFh8vf19vcF9AMndf96+UllZY6uwmXlbk2WF2VlkpFRVJJifPPLvBDUHtJUufCTIUV5df+iSUlLs9yXjwpT0mJVFzsvHfO83OTz154itrehx5RdP/mN79RVFSUy85nGIbuuOMOLVmyRKtWrVJ8fLzLzg0AaFjf7jmh0nKHOkQEamB8zXNzwPNEBNl0VZ8YXdUnRg6HoZ/Scp0Tsu3N0NaUUzqUUaBDGQVasCFZvj5eGhgfpuEJkbq0S6Q6RgYxAz1MtS04WhJLhQFwDdOLbnf8o3r77bfrvffe03/+8x8FBwcrPd25nExoaKj8/f1dfj0AgPssO70k2LierSnEGikvL4t6xoSqZ0yobh/RSbnFdm04kFlZhB/LKdba/Zlauz9TT3yxWzEt/CuXJRvSKZxZ6dHgKmYu75t3zOQkAJoC04tudwwpf/311yVJl156aZXt8+fP14033ujy6wEA3KOotFyr9jq7I4/v6QHjI+ESIX5WjevZRuN6tpFhGDpwIr9yWbL/Jp1UanaR3v8+Re9/nyJvL4v6tWup4V2cRXj3NiHyYlkyuJHd4qUfgpyfN7R0A3AF04tuh8Ph8nOaPDccAMBFVu87oSJ7udq29FfPGM+d2BL1Z7FY1LlVsDq3CtbNwzqoqLRcm5KytHqvcyz4ocwCfZ98Ut8nn9Tflu9VRJBv5VjwoZ0iFB7EsmRwrT0BkSr2tiqkrFgdirLMjgOgCTC96AYA4Ey+quha3oOu5c2Fv6+3RnSJ0oguzrleUrIKtXq/sxv6hoOZyswv1SeJqfokMVUWi3RhTKiGJziL8F5tW8jHm3XJcH4qupb3yUsVdxMAV6DoBgB4pJKycn27+4QkafwFrU1OA7O0Cw/QDeHtdcOg9iotc2jL4ZOnZ0TP1O60XO04mqMdR3P08rcHFOLno6GdIzQ8IVKXJESqTSjzuKDutoUwnhuAa1F0AwA80voDmcorKVOrEJv6xLY0Ow48gK+Pl4Z0jNCQjhF6YLx0PLdYa06PBV+7P1M5RXZ9uTNdX+509pDo0iq4cix4/7iWsvmwLBnOrXIStVzGcwNwDYpuAIBH+up04TS2R2smzkKNWoX46df9Y/Xr/rEqdxjacTRbq/c6i/AdR7O193ie9h7P0z/XHJK/1VtDOoZXzooeFxFodnx4oAxrgI74tZDFMNQ7n5ZuAK5B0Q0A8Dj2codW7D4uyblUGHAu3l4W9W3XUn3btdRdoxN0qqBU6yqWJduXoYy8Eq3cc0Ir9ziHLLQPD3COBU+I1OCO4Qrw5SsRfm7lTijMUHB5qclpADQV/AsDAPA4/z10UtmFdoUF+mpAXJjZcdAItQz01YRe0ZrQK1qGYWh3Wt7pAvyEtiSf0uGsQi3ceFgLNx6Wr7eXLopveboIj1JCqyAm7mumWJ8bgDtQdAMAPM5Xu9IkSWO6t2I2apw3i8Wi7tEh6h4dolsv7aj8kjJt+EUr+NFTRVp/IEvrD2TpqS/3qHWIX+VkbEM7RSg0wGr2S0ADSQyOluScuRwAXIWiGwDgUcodhpb/SNdyuE+QzUdjerTWmB6tZRiGDmUWVE7ItvFgltJzi7V4yxEt3nJEXhapT7uWlV3RL4gJZY6BJspu8dIPQW0kSX0pugG4EEU3AMCjbD18Spn5JQr289GQjhFmx0ETZ7FY1DEySB0jgzTt4ngV28v1fdLJylbwAyfytfXwKW09fEovrNinsEBfDTu9LNmwzpGKDLaZ/RLgInsCIlXsbVWovUgdik6aHQdAE0LRDQDwKBVdy0d3ayVfH7qWo2H5Wb11yemu5f8n6eipQq3Zl6nV+05ow4EsnSwo1X+2H9N/tjvH/PaMCXF2Re8cqb7tW8rKcIhGq2I8d5+8Y+JvEYArUXQDgIc4kVusf609pGPZxXrtd33NjmMKwzC0fJdzqTC6lsMTtG0ZoMkD22nywHaylzuUmJKt1ftOaPW+DO1Kza3877XvDirY5qMhncI1PCFKlyREqG3LALPjow62hVRMokbXcgCuRdENAB6izGHozXVJMgzp3qwCtQ9vfusI7ziao2M5xQrwdbY2Ap7E6u2lAfFhGhAfpnvGdlVGXonW7nd2Q1+zL0OnCu1a/uPxyjkJOkUFVY4FHxAfJj+rt8mvAGfz88zlFN0AXIuiGwA8RHQLfw3rHKk1+zL04Zaj+svYLmZHanAVXctHdI2iQIHHiwy26Zq+bXVN37YqdxjalZpTORY8MeWUDpzI14ET+XprXZL8rF4a1CFcl3SO1PAukeoQEciyZB4ix9umV2Iv1hG/FrIYhnrlp5kdCUATQ9ENAB7k+v6xWrMvQx9tPaq7RifIuxnNkmwYhpad7lo+nq7laGS8vSzqFdtCvWJbaOZlnZVTaNf6g5lavddZhKfnFmvV3gyt2pshfS61belf2Qo+pFOEgmx8JWtoZbLovdZ99GK7oTpldQ4FuCF9m4LLS01OBqCp4RMeADzIqO5RahFgVXpusdbuz9ClXaLMjtRgdqfl6XBWoWw+XhrRjF43mqbQAKsuv6CNLr+gjQzD0L7j+ZVjwTcnndLRU0V6978peve/KfLxsqh/XEsNT4jS8IRIdWsTTCu4m61qEa8n4i/TgQDnCgmdCjP116SVujQ7yeRkAJoiim4A8CA2H29d1TtGCzYk68MtR5tV0b3sdNfySxIiFUirH5oQi8WiLq2D1aV1sP54SUcVlJRp06GsyrHgyVmF2nTopDYdOqlnl+1RZLCtshv6sE4Rahnoa/ZLaDL2+4frifiRWt2yoySppb1Qs1LW6rfp2+Ujw+R0AJoqvtUAgIeZ1D9WCzYk6+uf0nWyoFRhzeQL91d0LUczEWjz0WXdWumybq0kScmZBVqzP0Or92Zow8EsZeSV6ONtR/XxtqOyWKRebVs4u6J3iVSvti2a1bATVznp468X2w3Ve637qNziJaujXFPTtuqOI+sVWl5idjwATRxFNwB4mO7RIeoZE6Jdqblampiq6UPjzY7kdgdO5Gv/iXxZvS2VhQjQXMRFBCouIlBTBseppKxcW5JPOSdk25uhvcfztP1ItrYfydaclfsV6m/VsM4RlePBo0L8zI7v0UotXnq7TX+9HDtEeT7On9WYrH16IPk7xRefMjkdgOaCohsAPND1/WO1K/VHfbDliKZdHNfkx3dWdC0f0jFCof5Wk9MA5rH5eOviThG6uFOEHry8m9JyirR2X6ZW78vQ2v0Zyimy6/Mf0vT5D873TNfWwRrexVmA928fJl8fL5NfgWcwJC0PS9DTcSN02L+lJKl7/nH9NXmlhuSkmBsOQLND0Q0AHujKXjF6/Ivd2pOep12pubqgbajZkdyKruVAzdqE+mvSRbGadFGsysod2nE0u3JG9B9Sc7QnPU970vP0j9WHFOjrrcEdIzS8S6QuTYhUbFiA2fFNsSuwlZ6IH6lNoe0lSZGl+brn8Bpde2KnvBm3DcAEFN0A4IFCA6wa16O1Pt1xTB9sOdKki+6UrEL9eCxXXhZpdHe6lgNn4uPtpX7tw9SvfZhmjemirPwSrTvgXJZszf4MZeaX6pvdx/XN7uOSpA4RgbrkdDf0QR3C5e/rbfIrcK8TtmD9vdN4fRh1oQyLRb6OMv0h9XvdmrpJQSwDBsBEFN0A4KEm9Y/VpzuOaen2VD10RTf5WZvmF+ZlPzq7yQ6MD1d4kM3kNEDjER5k08TeMZrYO0YOh6Gf0nKdY8H3ZWjr4VM6lFmgQ5kFWrAhWb4+XhoYH+ZcF7xDSxlNqMG32MtHbw68TnMH/VqFPs7PkAkZP+m+w6vUtiTX5HQAQNENAB5rSMdwxbTwV2p2kZb/mK6JvWPMjuQWlV3LL6BrOVBfXl4W9YwJVc+YUN0+opNyi+3acODnZclSs4u0dn+m1u7PlCS18PXWxrIfNaJrKw3pFKEQv8Y3l4Ih6dPAOD038Eql+rWQJPXOS9X/Ja1Uv7xjpmYDgF+i6AYAD+XlZdGv+7fVS9/s1wdbjjTJojstp0iJKdmSpLE9KLoBVwnxs2pcz9Ya17O1DMPQwYx8rTo9Fvy/SSeVXerQ4i2pWrwlVd5eFvVr11LDu0Tqks6R6hEdIi8PX5Zsmy1Cj4ddpES/SElSdG6G7tu7XBNKj4qp5AB4GopuAPBg1/Vrqzkr92v9gSwdOVnY5CZGWn66lbtf+5ZqxdJHgFtYLBZ1igpWp6hg3Tysg3ILijX3w69V1DJeaw9k6VBGgb5PPqnvk0/qb8v3KjzQt3Is+LDOER417CPVO1DPhfXRf4I6SJICHHbdmrxON3/2uvzbtZWiokxOCADVUXQDgAdr2zJAF3eM0LoDmfpo61HdNTrB7EguxazlQMPz9/VWt5aGLr+8q6xWq46cLKwcC77hQKayCkq1JDFVSxJTZbFIF8SEVq4L3ju2hXy8G74tucDiozdCe+qfod1V4uUji2Ho2vyDuudUolod3i2VMVEaAM9F0Q0AHu7X/dtWFt0zL+ssbw/v9llbmfkl2px8UhJdywEzxYYF6PeD2uv3g9qrtMyhrYdPVY4F/yktVz8czdEPR3P0yrcHFOzno6GdIjQ8sFSX2EIU7eZsDkkfBXXU31v20QkfZ0+fAUXpevjkFvUsPenmqwOAa1B0A4CHG9ujtUL8fJSaXaQNBzM1rHOk2ZFc4usfj8thOFvRmlq3eaCx8vXx0uCO4RrcMVz3j++qE7nFWrM/U6v3ZWjt/gxlF9r11a50fSVJw+5WQlGWhpema3jhMV1UfFw2OVyWZZNfKz0e1l8/2sIlSe3seXrw5FaNLUxR0/jVI4DmgqIbADycn9VbE3vHaNGmw/pgy9EmU3R/tcu5VNg4upYDHisqxE/X9Wur6/q1VbnD0A9Hs51d0bcf1o6MYu3zD9c+/3D9K7SH/B12DS4+ruGFqRpedExxZXn1uuZhnyA9FdZPywPbS5KCHaW649QPmpq7x6VFPQA0FIpuAGgErr8oVos2HdbyH9OVXViqFgG+Zkc6LzmFdm08mCWJ8dxAY+HtZVGfdi3Vp11L3dm6VKf+cKvWte+t1eGdtNo/Whk+Afo2oK2+DWgrydkyPbwoVcMLj2lwcboCjbKznj/XYtWrLS7U/NCuslu85WU4NDlvv+46tV3hjpKGeIkA4BYU3QDQCPSIDlG3NiHanZarT3cc05TBcWZHOi8rdh9XmcNQl1bB6hAZZHYcAPXQ0l6kCdn7NcE4IUPSHmsLrQ6I0Wr/aG3xi1KKNViLrF21KKSrrEa5Lio+oeFFxzS8MFVd7NmVXcTLZNH7wZ31YsveOuntXMVgWOEx/d/JzUqw55j2+gDAVSi6AaARsFgsmtS/rWZ/9pMWbz7S6IvuZXQtB5oUi6Ru9mx1y8nWjJwflW/x0Ub/1lrtH6NV/tE6ag3WBv822uDfRk+H9VOrskINL0rVBSUntSgkQft8W0qSOpZm668nt+rSolTGbQNoMii6AaCRuKp3jJ7+co9+PJarXak56hkTanakeskvKdOa/ZmSpPEXUHQDTVGQUabRhUc1uvCoDElJPsFaHRCjNf7R2ujXWsd9AvRBcGd9EOw8vkV5ie46tV2T8/bJKsPU7ADgahTdANBItAz01ejurfTFzjR9tPVooy26v91zQqVlDsVHBKpLq2Cz4wBwM4ukDmV56pC7R9Ny96jY4qXNtlZaHRCt7bZI9SnJ0J+ydyrUwVrbAJomim4AaEQmXRSrL3amaUliqu4f31V+Vm+zI9XZL7uWWyx0IAWaGz/DoWHFaRpWnGZ2FABoEF5mBwAA1N7QThFqE+qnnCK7vtl93Ow4dVZUWq7v9mRIYtZyAADQPFB0A0Aj4u1l0XX9nMvxfLDlqMlp6m71vgwV2csV08JfFzTS7vEAAAB1QdENAI1MRdG9dn+GUrOLTE5TNxVdy8fTtRwAADQTFN0A0Mi0Dw/UoA5hMgzp462Np7W7pKxcK3efkMSs5QAAoPmg6AaARuj6i2IlSR9uPSKHo3Esr7P+QKbySsrUKsSmPrEtzY4DAADQICi6AaARGtejjYJtPjpyskibkrLMjlMrX+1MlySN7dFaXl50LQcAAM0DRTcANEL+vt6a0DtakvRhI5hQzV7u0IrTs62PY9ZyAADQjFB0A0AjNam/s4v5lzvTlFNkNznN2f330EllF9oVFuirAXFhZscBAABoMBTdANBI9WobqoRWQSopc+izHcfMjnNWX52etXxM91by8eafHgAA0HzwzQcAGimLxVLZ2v3hliMmpzmzcoeh5T/StRwAADRPFN0A0Ihd3SdGPl4W7Tiaoz3puWbHqdHWw6eUmV+iYD8fDekYYXYcAACABkXRDQCNWHiQTaO6tZLkuROqVXQtH92tlXx9+GcHAAA0L3z7AYBGbtJFbSVJSxJTVVrmMDlNVYZhaPku51JhdC0HAADNEUU3ADRyl3SOVFSwTScLSrXy9LJcnmLH0RwdyylWgK+3LkmINDsOAABAg6PoBoBGzsfbS9f1c7Z2f+BhE6pVdC0f0TVKflZvk9MAAAA0PIpuAGgCfn16FvPV+zKUnlNschonwzC07HTX8vF0LQcAAM0URTcANAHxEYEaEBcmhyF9vM0zJlTbnZanw1mFsvl4aUSXKLPjAAAAmIKiGwCaiF/3d3Yx/3DLERmGYXIaadnpruWXJEQq0OZjchoAAABzUHQDQBNx+QVtFOjrreSsQn2fdNLsOPqKruUAAAAU3QDQVATafPSrC6MlSR+YvGb3gRP52n8iX1Zviy47vY44AABAc0TRDQBNyKSLnBOqfbkzTXnFdtNyVHQtH9IxQqH+VtNyAAAAmI2iGwCakL7tWqhjZKCK7OX64oc003LQtRwAAMCJohsAmhCLxaJJp5cPW2zSmt0pWYX68ViuvCzS6O50LQcAAM0bRTcANDFX942Rt5dFiSnZ2n88r8Gvv+xHZwv7wPhwhQfZGvz6AAAAnoSiGwCamKhgv8p1sT/c2vATqlV2Lb+AruUAAAAU3QDQBF1/ekK1T7Ydlb3c0WDXTcspUmJKtiRpbA+KbgAAAIpuAGiCLu0SqYggmzLzS/XdnhMNdt3lp1u5+7VvqVYhfg12XQAAAE9F0Q0ATZDV20vX9o2R1LBrdjNrOQAAQFVNsuhes2aNJkyYoOjoaFksFi1dutTsSADQ4H7dv60k6bu9J3Qit9jt18vML9Hm5JOS6FoOAABQoUkW3QUFBerVq5deffVVs6MAgGk6RQWrb7sWKncY+iQx1e3X+/rH43IY0gUxoYoNC3D79QAAABoDH7MDuMP48eM1fvx4s2MAgOmuvyhW21Ky9cGWI7rlkg6yWCxuu9ZXu5xLhY2jazkAAEClJtnSDQBwuuLCaPlbvXUoo0DbUk657To5hXZtPJglifHcAAAAv9QkW7rrqqSkRCUlJZWPc3NzJUl2u112u92sWOdUkc2TMwJnwv3bMGxe0vierfRJ4jH9+/sUXRgd7JbrLNuVqjKHoYSoIMW2sDX5v1fuXzRmLrl/HQ7J11eyWiUfk79O+vpK/v6Szeb8s5lsNs/J4ml5bDbJz89579Tz3uOzF56mtveixTAMw81ZTGWxWLRkyRJdddVVZzzm0Ucf1ezZs6ttf++99xQQwLhEAI3bwVzp5R99ZPMy9Hj/ctm8XX+Nf+3x0q5TXhrX1qHxsQ23LjgAAIBZCgsLNXnyZOXk5CgkJOSMx9HSLemBBx7QrFmzKh/n5uYqNjZWY8aMOesPz2x2u10rVqzQ6NGjZbVazY4D1An3b8MxDEOfzlmv5KxClcf00uWnlxJzlfySMt2zeZUkh/408WJ1ae2e1nRPwv2Lxswl9+/u3dKMGVJ4uGT2d6WUFGnHDikuToqMNDdLerp0+LDUrp3Upo25WTwtT16elJMjzZsnDRhQr1Pw2QtPU9FD+lwouiXZbDbZbLZq261Wa6N4QzeWnEBNuH8bxqSLYvXcsr36JPGYfjswzqXnXvtThkrLHIqPCFSPti3dOlmbp+H+RWN2Xvevl5dUWursJlxW5tpgdVVaKhUVSSUlzj+bqaTEc7J4Wp6SEqm42HnvnOfnJp+98BS1vQ+b5ERq+fn52r59u7Zv3y5JSkpK0vbt25WSkmJuMAAwybV928rLIm1OPqVDGfkuPfeyX8xa3pwKbgAAgNpokkX3li1b1KdPH/Xp00eSNGvWLPXp00cPP/ywyckAwBytQvx0aZcoSdKHW4+67LxFpeX6bk+GJGYtBwAAqEmTLLovvfRSGYZR7b8FCxaYHQ0ATDOpf1tJ0sdbj6qs3DWTna3el6Eie7liWvjrgphQl5wTAACgKWmSRTcAoLqRXVspLNBXJ/JKtHpfhkvOSddyAACAs6PoBoBmwtfHS1f3cc5c/sGWI+d9vpKycq3cfUISXcsBAADOhKIbAJqRSf1jJUkrd59QZn7JeZ1rw4Es5ZWUKSrYpr7tWroiHgAAQJND0Q0AzUiX1sHqFdtCZQ5DSxNTz+tcX53uWj62R2t5edG1HAAAoCYU3QDQzFRMqLZ48xEZhlGvc5SVO7Tip+OS6FoOAABwNhTdANDMTOgVLZuPl/afyNf2I9n1Osd/k07qVKFdLQOsGhAf5tqAAAAATQhFNwA0MyF+Vl1+QRtJ0gdb6rdmd0XX8jHdW8vHm39KAAAAzoRvSgDQDFVMqPbZjmMqKi2v03MdDkPLf3R2LR93AV3LAQAAzoaiGwCaoYHxYWoXFqD8krLKVuva2ppyShl5JQr289HFHSPclBAAAKBpoOgGgGbIy8uiX/f7eUK1uvhyp7NIH9WtlXx9+GcEAADgbPi2BADN1LX92spicU6KlpxZUKvnGIah5bvSJTFrOQAAQG1QdANAMxXdwl/DOkdKkj7aWrsJ1XYczdGxnGIF+HrrkoRId8YDAABoEii6AaAZu/70hGofbT2qcse51+yuGP89omuU/Kzebs0GAADQFFB0A0AzNqp7lFoEWJWeW6y1+zPOeqxhGFpG13IAAIA6oegGgGbM5uOtq3rHSJI+PMea3bvT8nQ4q1A2Hy+N6BLVEPEAAAAaPYpuAGjmKtbs/vqndJ0sKD3jcctOdy2/JCFSgTafBskGAADQ2FF0A0Az1z06RD1jQmQvN7Q0MfWMx31F13IAAIA6o+gGAFROqPbBliMyjOoTqh04ka/9J/Jl9bbosm6tGjoeAABAo0XRDQDQlb1i5OvjpT3pedqVmlttf0XX8iEdIxTqb23oeAAAAI0WRTcAQKEBVo3r4ew2/sGWI9X207UcAACgfii6AQCSfp5Qben2VBXbyyu3p2QV6sdjufKySKO707UcAACgLii6AQCSpCEdwxXTwl95xWVa/mN65fZlPzq7lg+MD1d4kM2seAAAAI0SRTcAQJLk5WXRr/u3lVS1i3ll1/IL6FoOAABQVxTdAIBK1/VrK4tFWn8gS0dOFiotp0iJKdmSpLE9KLoBAADqiqIbAFCpbcsAXdwxQpL00dajWn66lbtf+5ZqFeJnZjQAAIBGiaIbAFBFRRfzj7Ye1Zc7mbUcAADgfPiYHQAA4FnG9mitED8fpWYXKTW7qHIbAAAA6o6WbgBAFX5Wb03sHVP5+IKYUMWGBZiYCAAAoPGi6AYAVHP9RbGVfx5H13IAAIB6o+gGAFTTIzpEgzuEK8jmoyt7RZsdBwAAoNFiTDcAoBqLxaL50y5SSZlDof5Ws+MAAAA0WhTdAIAa+Vm95Wf1NjsGAABAo0b3cgAAAAAA3ISiGwAAAAAAN6HoBgAAAADATSi6AQAAAABwE4puAAAAAADchKIbAAAAAAA3oegGAAAAAMBNKLoBAAAAAHATim4AAAAAANyEohsAAAAAADeh6AYAAAAAwE0ougEAAAAAcBMfswN4IsMwJEm5ubkmJzk7u92uwsJC5ebmymq1mh0HqBPuXzRm3L9ozFxy/+bnS+XlUm6uVFbm2oB1VVAgGYZUWCidOmVulqIiZ5biYvOzeFqeoiLJ4XD+fdXzOzafvfA0FfViRf14JhbjXEc0Q0ePHlVsbKzZMQAAAAAAHu7IkSNq27btGfdTdNfA4XDo2LFjCg4OlsViMTvOGeXm5io2NlZHjhxRSEiI2XGAOuH+RWPG/YvGjPsXjRX3LjyNYRjKy8tTdHS0vLzOPHKb7uU18PLyOutvKjxNSEgIHzxotLh/0Zhx/6Ix4/5FY8W9C08SGhp6zmOYSA0AAAAAADeh6AYAAAAAwE0ouhsxm82mRx55RDabzewoQJ1x/6Ix4/5FY8b9i8aKexeNFROpAQAAAADgJrR0AwAAAADgJhTdAAAAAAC4CUU3AAAAAABuQtENAAAAAICbUHQDAAAAAOAmFN0AAAAAALgJRTcAAAAAAG5C0Q0AAAAAgJtQdAMAAAAA4CYU3QAAAAAAuAlFNwAAAAAAbkLRDQAAAACAm1B0AwAAAADgJhTdAAAAAAC4CUU3AAAAAABuQtENAM2UxWKp1X+rVq0657meeuopLV269LzzPProo2fc/5///EcWi0VvvPHGGY9ZsWKFLBaLXnjhhVpf98Ybb1RcXFwdkrqOxWLRn/70pxr3ffTRR9V+/oZh6N///reGDRumqKgo+fn5qW3btho7dqzefPPNaueu+M/b21stW7ZUr169dMstt2jTpk11yllQUKBnnnlGffr0UVBQkAIDA9W7d2899dRTKigoqPPrdpdVq1bV+r6WpLi4ON14443mhv6FBQsWyGKxKDk52WXnjIuLk8Vi0aWXXlrj/oULF9bpvf6/Kn7mv3zuo48+WvkzBgBIPmYHAACYY+PGjVUeP/744/ruu+/07bffVtnevXv3c57rqaee0nXXXaerrrrKlRGruOKKK9S6dWvNmzdPM2bMqPGY+fPny2q16oYbbnBbDjM98MADevbZZ/WHP/xB99xzj4KDg3X48GF9++23+s9//qObb765yvHXXXed7r77bhmGodzcXO3atUsLFy7UP//5T82cOVNz5sw55zWPHz+uUaNG6eDBg5o5c6aee+45SdK3336rJ554Qu+//76++eYbtWrVyi2vuS769u1b7b6++uqr1bFjR/3973+vdvySJUsUEhLSUPHO6YorrtDGjRvVpk0bl543ODhYa9as0cGDB9WxY8cq++bNm6eQkBDl5ua67Ho333yzxo0b57LzAUBjR9ENAM3UoEGDqjyOjIyUl5dXte2ewsfHR1OmTNFzzz2nXbt2qWfPnlX2Z2dna8mSJbryyisVGRlpUkr3KSoq0ksvvaQpU6bon//8Z5V9N954oxwOR7XntGrVqsrf59ixY3XnnXfqj3/8o15++WV17dpVt95661mvO2XKFO3Zs0ffffedhg4dWrl99OjRuuKKKzRixAhNnTpVy5YtO89XWDdFRUXy9/evsi0kJKTa/Wuz2dSiRYsa7+s+ffq4NWNdRUZGuuXeHTp0qHbu3Kl58+bpySefrNx+8OBBrVmzRjfffLP+9a9/uex6bdu2Vdu2bV12PgBo7OheDgA4o5MnT+q2225TTEyMfH191aFDBz300EMqKSmpPMZisaigoEBvv/12ZTfViq6sGRkZuu2229S9e3cFBQUpKipKI0eO1Nq1a+uV56abbpLkbNH+X++//76Ki4s1ffp0SdJrr72mSy65RFFRUQoMDNQFF1yg5557Tna7/azXSE5OlsVi0YIFC6rtq6kL/P79+zV58mRFRUXJZrOpW7dueu211+r1+s6moKBAJSUlZ2wF9fKq3T/p3t7eevXVVxUREaG//e1vZz12y5Yt+vrrr3XTTTdVKbgrDB06VNOnT9fy5cu1detWSc5CdtiwYdWOLS8vV0xMjK655prKbaWlpXriiSfUtWtX2Ww2RUZGatq0acrIyKjy3Li4OP3qV7/SJ598oj59+sjPz0+zZ8+u1es9m//tXl7RVfq9997TfffdpzZt2igoKEgTJkzQ8ePHlZeXpz/+8Y+KiIhQRESEpk2bpvz8/CrnNAxDc+fOVe/eveXv76+WLVvquuuu06FDh86Zp6bu5Zdeeql69uypzZs3a9iwYQoICFCHDh30zDPP1PiLlpp4eXlpypQpevvtt6s8Z968eYqNjdWoUaOqPWfLli36zW9+o7i4OPn7+ysuLk6//e1vdfjw4XNej+7lAFAVRTcAoEbFxcUaMWKEFi5cqFmzZumLL77Q73//ez333HNVCqeNGzfK399fl19+uTZu3KiNGzdq7ty5kpxFuyQ98sgj+uKLLzR//nx16NBBl156ab3GjyYkJGjo0KF65513qhXP8+fPV0xMjMaOHSvJ2Yo3efJkLVq0SJ9//rluuukm/e1vf9Mtt9xSz59IdT/99JMuuugi7dq1S88//7w+//xzXXHFFZo5c6ZLisJfioiIUKdOnTR37ly98MIL2rNnjwzDqNe5/P39NWrUKCUlJeno0aNnPG7FihWSdNZhAxX7Ko6dNm2a1q1bp/3791c57uuvv9axY8c0bdo0SZLD4dDEiRP1zDPPaPLkyfriiy/0zDPPaMWKFbr00ktVVFRU5fnbtm3TPffco5kzZ2rZsmW69tpr6/qya+3BBx/UiRMntGDBAj3//PNatWqVfvvb3+raa69VaGio3n//fd17771atGiRHnzwwSrPveWWW3TnnXdq1KhRWrp0qebOnasff/xRQ4YM0fHjx+uVJz09Xb/73e/0+9//Xp9++qnGjx+vBx54QO+8806tzzF9+nQdO3ZMy5cvl+T8Jcjbb7+tG2+8scZf2CQnJ6tLly566aWXtHz5cj377LNKS0vTRRddpMzMzHq9DgBotgwAAAzDmDp1qhEYGFj5+I033jAkGR988EGV45599llDkvH1119XbgsMDDSmTp16zmuUlZUZdrvduOyyy4yrr766yj5JxiOPPHLOc8yfP9+QZHzyySeV23bt2mVIMh566KEan1NeXm7Y7XZj4cKFhre3t3Hy5MnKfVOnTjXat29f+TgpKcmQZMyfP7/aef4349ixY422bdsaOTk5VY7705/+ZPj5+VW5Tk0kGbfffnuN+z788ENDkvHdd99Vbvv++++Ndu3aGZIMSUZwcLDxq1/9yli4cKHhcDhqfW7DMIz77rvPkGT897//PeMxM2bMMCQZe/bsOeMxu3fvNiQZt956q2EYhpGZmWn4+voaDz74YJXjJk2aZLRq1cqw2+2GYRjG+++/b0gyPv744yrHbd682ZBkzJ07t3Jb+/btDW9vb2Pv3r1nzHEm7du3N6644ooz7vvlffvdd98ZkowJEyZUOe7OO+80JBkzZ86ssv2qq64ywsLCKh9v3LjRkGQ8//zzVY47cuSI4e/vb9x7771nzVpxbyclJVVuGz58eI1/T927dzfGjh171vNVvMaK1z98+HDjuuuuMwzDML744gvDYrEYSUlJNd5r/6usrMzIz883AgMDjTlz5lRur/iZ/fK5jzzyiMFXTAD4GS3d57BmzRpNmDBB0dHRslgs9Zqdd/ny5Ro0aJCCg4MVGRmpa6+9VklJSa4PCwAu9O233yowMFDXXXddle0V3XFXrlxZq/O88cYb6tu3r/z8/OTj4yOr1aqVK1dq9+7d9co1adIkBQcHa968eZXb5s2bJ4vFUtmKKkmJiYm68sorFR4eLm9vb1mtVk2ZMkXl5eXat29fva79S8XFxVq5cqWuvvpqBQQEqKysrPK/yy+/XMXFxXWeJfxcLrroIh04cEDLli3Tgw8+qMGDB2vlypWaMmWKrrzyyjq1fNfl2Nqcp6I7cXh4uCZMmFClK/OpU6f0n//8R1OmTJGPj3M6mc8//1wtWrTQhAkTqvzsevfurdatW1frCXHhhRcqISHBJZnP5Ve/+lWVx926dZPknOjsf7efPHmysov5559/LovFot///vdVXlPr1q3Vq1evevXukKTWrVtrwIABVbZdeOGFterq/UvTp0/Xp59+qqysLL311lsaMWLEGWfuz8/P13333adOnTrJx8dHPj4+CgoKUkFBQb3fuwDQXFF0n0NBQYF69eqlV199tV7PP3TokCZOnKiRI0dq+/btWr58uTIzM6t0zQQAT5SVlaXWrVtXG5sZFRUlHx8fZWVlnfMcL7zwgm699VYNHDhQH3/8sTZt2qTNmzdr3Lhx1boP11ZAQIB+85vfaNmyZUpPT1dZWZneeecdDR8+vHJm5pSUFA0bNkypqamaM2eO1q5dq82bN1eOta7vtX8pKytLZWVleuWVV2S1Wqv8d/nll0vSObvhent7q7y8vMZ9ZWVlkiSr1Vplu9Vq1dixY/Xkk09q+fLlOnLkiC699FJ9/vnn+uqrr2qdv6Jgi46OPuMx7dq1k6Sz/qK4YvxxbGxs5bbp06crNTW1ssv5+++/r5KSkirjp48fP67s7Gz5+vpW+/mlp6dX+9m5ekbvswkLC6vy2NfX96zbi4uLJTlfk2EYatWqVbXXtGnTpnp3yw4PD6+2zWaz1fk+vu666+Tn56cXX3xRn332WeUcCTWZPHmyXn31Vd18881avny5vv/+e23evFmRkZEuef8AQHPC7OXnMH78eI0fP/6M+0tLS/XXv/5V7777rrKzs9WzZ089++yzlZMIbdu2TeXl5XriiScqx0z95S9/0cSJE2W326t9mQIATxEeHq7//ve/MgyjSuF94sQJlZWVKSIi4pzneOedd3TppZfq9ddfr7I9Ly/vvLLddNNN+te//qWFCxcqISFBJ06c0PPPP1+5f+nSpSooKNAnn3yi9u3bV27fvn37Oc/t5+cnSVUmi5NU7ZcMLVu2lLe3t2644QbdfvvtNZ4rPj7+rNdq1aqVUlNTa9xXsf1cS3GFh4frzjvv1KpVq7Rr167Kgv9sioqK9M0336hjx45nnWV69OjRevDBB7V06dIzLgFV0QNs9OjRldvGjh2r6OhozZ8/X2PHjtX8+fM1cODAKsvPRUREKDw8/IyzngcHB1d53Bgm5oqIiJDFYtHatWtls9mq7a9pW0Oq+IXV008/rZCQkDM2AOTk5Ojzzz/XI488ovvvv79ye0lJSeU8DQCA2qPoPk/Tpk1TcnKy/v3vfys6OlpLlizRuHHjtHPnTnXu3Fn9+/eXt7e35s+frxtvvFH5+flatGiRxowZQ8ENwKNddtll+uCDD7R06VJdffXVldsXLlxYub/CmVrdLBZLtULjhx9+0MaNG6u0jNbVwIED1bNnT82fP18JCQkKDQ2tMrFWRYH2y2sbhlGrZZFatWolPz8//fDDD1W2/+c//6nyOCAgQCNGjFBiYqIuvPDCylbPuhg1apQ++eQTZWRkVFkqyjAMffjhh4qLi1OnTp0kSXa7Xbm5uTW2elZ09z1bq3WF8vJy/elPf1JWVpaefvrpsx7bv39/jRkzRm+99ZZuuOEGXXzxxVX2r1u3TvPmzdO4cePUr1+/yu0Vv4x46aWXtHbtWm3ZskX/+Mc/qjz3V7/6lf7973+rvLxcAwcOPGfuxuBXv/qVnnnmGaWmpmrSpElmx6nRrbfequPHj2v48OGVv2D6XxaLRYZhVHvvvvnmm2fsmQEAODOK7vNw8OBBvf/++zp69GjlF52//OUvWrZsmebPn6+nnnpKcXFx+vrrr/XrX/9at9xyi8rLyzV48GB9+eWXJqcHgLObMmWKXnvtNU2dOlXJycm64IILtG7dOj311FO6/PLLqywzdMEFF2jVqlX67LPP1KZNGwUHB6tLly761a9+pccff1yPPPKIhg8frr179+qxxx5TfHx8Zffp+po+fbpmzZqlvXv36pZbbqmyZvPo0aPl6+ur3/72t7r33ntVXFys119/XadOnTrneSvG5M6bN08dO3ZUr1699P333+u9996rduycOXM0dOhQDRs2TLfeeqvi4uKUl5enAwcO6LPPPtO333571ms9/PDD+uyzzzRw4EDdf//96ty5s9LT0/Wvf/1Lmzdv1gcffFB5bE5OjuLi4vTrX/9ao0aNUmxsrPLz87Vq1SrNmTNH3bp1q9Zyefz4cW3atEmGYSgvL0+7du3SwoULtWPHDt111136wx/+cM6fx8KFCzVq1CiNGTNGM2fOrPxly7fffqs5c+aoa9euNS6vNn36dD377LOaPHmy/P39df3111fZ/5vf/EbvvvuuLr/8cv35z3/WgAEDZLVadfToUX333XeaOHFilV/2NAYXX3yx/vjHP2ratGnasmWLLrnkEgUGBiotLU3r1q3TBRdccM510d2td+/e55yfJiQkRJdccon+9re/KSIiQnFxcVq9erXeeusttWjRokFyAkBTQtF9HrZt2ybDMKpN7FJSUlLZEpGenq6bb75ZU6dO1W9/+1vl5eXp4Ycf1nXXXacVK1Y0iu5yAJonPz8/fffdd3rooYf0t7/9TRkZGYqJidFf/vIXPfLII1WOnTNnjm6//Xb95je/UWFhoYYPH65Vq1bpoYceUmFhod566y0999xz6t69u9544w0tWbKk3pNKVbjhhht0//33q7S0tHJt7gpdu3bVxx9/rL/+9a+65pprFB4ersmTJ2vWrFlnHTJUoaKr+nPPPaf8/HyNHDlSn3/+ebVJp7p3765t27bp8ccf11//+ledOHFCLVq0UOfOnWvVzbtjx476/vvvNXv2bD366KPKyMhQUFCQBgwYoBUrVmjkyJGVx4aEhGj27NlauXKlHnzwQR0/flwWi0Xx8fG68847dd999ykgIKDK+T/66CN99NFH8vLyUlBQkNq3b6/BgwfrjTfe0KBBg86ZT3K2/G/atEkvv/yyPvjgA7388suSpE6dOunBBx/UnXfeqcDAwGrPS0hI0JAhQ7Rhwwb97ne/U2hoaJX93t7e+vTTTzVnzhwtWrRITz/9tHx8fNS2bVsNHz5cF1xwQa3yeZp//OMfGjRokP7xj39o7ty5cjgcio6O1sUXX1xtMjRP9t577+nPf/6z7r33XpWVleniiy/WihUrqk0mBwA4N4vhqulLmwGLxaIlS5ZUrkm6ePFi/e53v9OPP/4ob2/vKscGBQWpdevW+r//+z999dVX2rJlS+W+o0ePKjY2Vhs3bqz1lx4AAAAAQONDS/d56NOnj8rLy3XixAkNGzasxmMKCwurFeQVjyuWUgEAAAAANE0sGXYO+fn52r59e+WMt0lJSdq+fbtSUlKUkJCg3/3ud5oyZYo++eQTJSUlafPmzXr22Wcrx2xfccUV2rx5sx577DHt379f27Zt07Rp09S+fXv16dPHxFcGAAAAAHA3upefw6pVqzRixIhq26dOnaoFCxbIbrfriSee0MKFC5Wamqrw8HANHjxYs2fPrhyP9u9//1vPPfec9u3bp4CAAA0ePFjPPvusunbt2tAvBwAAAADQgCi6AQAAAABwE7qXAwAAAADgJhTdAAAAAAC4CUU3AAAAAABuwpJhNXA4HDp27JiCg4NlsVjMjgMAAAAA8DCGYSgvL0/R0dHy8jpzezZFdw2OHTum2NhYs2MAAAAAADzckSNH1LZt2zPup+iuQXBwsCTnDy8kJMTkNGdmt9v19ddfa8yYMbJarWbHAeqE+xem+P57ado0yddX8vev92nsNpu+/stfNObvf5e1pKR+Jzl1SkpLk9q0kVq2rHcWl/CkLJJUVCSVlkrz50sDBpidpslxyefvTz9Jt97qfB8FBLg2YF2lpkp790otWkiBgeZmycuTcnKk0FDp9PdJ8pxWXCyVlTnf1yNH1usUfHeAp8nNzVVsbGxl/XgmFN01qOhSHhIS4vFFd0BAgEJCQvjgQaPD/QtTBAZKXl5SUJB0Hp/vdl9f5/3booWspaX1O0lxsWSxSH5+5he6npRFkry9pexs59+XB/873Fi55PM3KMj59xQS4izozHTqlPP+9fU1v7AsKnL+32o1P4vkWXm8vJy/BDiP9zXfHeCpzjUkmYnUAAAAAABwE4puAAAAAADchKIbAAAAAAA3oegGAAAAAMBNKLoBAAAAAHATim4AAAAAANyEohsAAAAAADeh6AYAAAAAwE0ougEAAAAAcBOKbgAAAAAA3ISiGwAAAAAAN/ExOwAAAAAAz/RO+0E65t9CV6UmKiHvuNlxgEaJohsAAABAjf7dfqB2tWirTvknKLqBeqJ7OQAAAIBqsnwD9WNotCRpaMZ+k9MAjRdFNwAAAIBq1kd0kmHxUtecY4oqyTM7DtBoUXQDAAAAqGZtVIIk6ZKMfSYnARo3im4AAAAAVRiS1kY6i266lgPnh6IbAAAAQBUHgqKU7t9CvuV2Dcg6ZHYcoFGj6AYAAABQRUUr98CsJPk5ykxOAzRuFN0AAAAAqqgYzz2M8dzAeaPoBgAAAFCpxMtbm8I7SpKGUnQD542iGwAAAEClrS3jVOTjq4jiPHXNTTc7DtDoUXQDAAAAqLQusrMkZ9dyLxkmpwEaP4puAAAAAJUYzw24FkU3AAAAAElSlm+gdoXGSGJ9bsBVKLoBAAAASJLWR3SSYfFS19w0RZXkmR0HaBIougEAAABIktadXp972Am6lgOuQtENAAAAQIYYzw24A0U3AAAAAB0MilKafwv5lts1IOuQ2XGAJoOiGwAAAIDWnO5aPuBkkvwcZSanAZoOim4AAAAAP6/PzXhuwKUougEAAIBmrsTLWxsjOkliPDfgahTdAAAAQDO3rWV7Ffn4KqI4T11z082OAzQpFN0AAABAM7f29HjuoZn75SXD5DRA00LRDQAAADRzrM8NuA9FNwAAANCMnfQN0M4WMZIYzw24A0U3AAAA0Iytj+gsw+KlrrlpiirJMzsO0ORQdAMAAADNWOV4blq5Abeg6AYAAACaKUPS2ijGcwPuRNENAAAANFMHgyKV5t9CvuV2DTiZZHYcoEmi6AYAAACaqYqu5QNOJsm/3G5yGqBpougGAAAAmqmfx3PvNzkJ0HRRdAMAAADNUKnFW5siOkpiPDfgTh5fdK9Zs0YTJkxQdHS0LBaLli5des7nrF69Wv369ZOfn586dOigN954w/1BAQAAgEZkW1h7FfrYFFGSp265aWbHAZosjy+6CwoK1KtXL7366qu1Oj4pKUmXX365hg0bpsTERD344IOaOXOmPv74YzcnBQAAABqPX3Yt95Jhchqg6fIxO8C5jB8/XuPHj6/18W+88YbatWunl156SZLUrVs3bdmyRX//+9917bXXuiklAAAA0LhUFN10LQfcy+OL7rrauHGjxowZU2Xb2LFj9dZbb8lut8tqtVZ7TklJiUpKSiof5+bmSpLsdrvsds+dxbEimydnBM6E+xemcDgkPz/JZpN8fet9Gvvp59rP4xyy2SR///PO4hKelKUij5+f8++LzwiXc8nnr8PhvFesVsnH5K+Tvr7O+7fivW0mPz/PyXKOPKes/trZIkaSNDD3sOzuzlte7nw/G0a939d8d4Cnqe29aDEMo9H0JbFYLFqyZImuuuqqMx6TkJCgG2+8UQ8++GDltg0bNujiiy/WsWPH1KZNm2rPefTRRzV79uxq29977z0FBAS4JDsAAADgKRIzLVqw31tt/A3d37vc7DhAo1RYWKjJkycrJydHISEhZzyuybV0S87i/Jcqfq/wv9srPPDAA5o1a1bl49zcXMXGxmrMmDFn/eGZzW63a8WKFRo9enSNLfiAJ+P+hSm+/16aPl0KDZWCg+t9Gruvr1bMmKHRb7wha2lp/U6Sni4dPiy1ayfV8AvhBuVJWSQpL0/KyZHmzZMGDDA7TZPjks/f3bulGTOk8HDJ7O9Khw5JO3dKERFSy5bmZsnIkE6edP5cIiLMzXKOPOt6XCW17a/xu9fr8qXL3J+lsND53l6wQBoxol6n4LsDPE1FD+lzaXJFd+vWrZWenl5l24kTJ+Tj46Pw8PAan2Oz2WSroUuN1WptFG/oxpITqAn3LxqUl5dUXOyyrp/W0tL6F90lJVJRkfP/9T2Hq3hSloo8xcXOvy8+H9zmvD5/vbyc94rdLpWVuTZYXZWWOu/f4mLnvWOm4mLPyXKWPIak9WHOpcKGp+2WtSGyFhc7/7NYzvt9zXcHeIra3oceP3t5XQ0ePFgrVqyosu3rr79W//79eXMCAACg2TsYFKljAS3lW16mASeTzI4DNHkeX3Tn5+dr+/bt2r59uyTnkmDbt29XSkqKJGfX8ClTplQeP2PGDB0+fFizZs3S7t27NW/ePL311lv6y1/+YkZ8AAAAwKOsOz1r+UUnk+RfzqRkgLt5fPfyLVu2aMQvxn1UjL2eOnWqFixYoLS0tMoCXJLi4+P15Zdf6q677tJrr72m6OhovfzyyywXBgAAAOgXS4VlsFQY0BA8vui+9NJLdbYJ1hcsWFBt2/Dhw7Vt2zY3pgIAAAAan1KLtzZGOMdzsz430DA8vns5AAAAANfYFtZehT42hZfkq1tumtlxgGaBohsAAABoJtZFdpYkDc3YJy+duTcpANeh6AYAAACaCcZzAw2PohsAAABoBk5ZA/RDi7aSpGEn9pucBmg+KLoBAACAZmB9ZCcZFi8l5KarVUmu2XGAZoOiGwAAAGgG1tG1HDAFRTcAAADQxBn6xXhulgoDGhRFNwAAANDEHQqMVGpAS/mWl2ngyUNmxwGaFYpuAAAAoIlbG+Vs5e5/Mkn+5XaT0wDNC0U3AAAA0MSxVBhgHopuAAAAoAkr9fLWpogOkhjPDZiBohsAAABowhKjOqrAx0/hJfnqnptmdhyg2aHoBgAAAJqwtTE9JUlDM/bJS4bJaYDmh6IbAAAAaMJ+Lrr3m5wEaJ4ougEAAIAmKtsvSD9ExEliEjXALBTdAAAAQBO1vn0vGRYvJeSmq3VxrtlxgGaJohsAAABootbG95VEKzdgJopuAAAAoAkyJK2N6yPJOYkaAHNQdAMAAABNUFJIK6WGRsm33K6BWYfMjgM0WxTdAAAAQBO0tu0FkqT+x/croNxuchqg+aLoBgAAAJqgiqXChqXuMjkJ0LxRdAMAAABNjN3ipY1tukqShqX+aHIaoHmj6AYAAACamMSW7VXg66+wwhx1z0oxOw7QrFF0AwAAAE3M2sgESdLQ5ER5yTA5DdC8UXQDAAAATcyaKGfRPSwp0eQkACi6AQAAgCYk2+qvH1q0lSQNS95ubhgAFN0AAABAU7IhopMMi5c6n0pV6/wss+MAzR5FNwAAANCEVIznHnaUpcIAT0DRDQAAADQRhn4xnpv1uQGPQNENAAAANBFJgRFKDQiTb3mZBqbvMTsOAFF0AwAAAE1GRdfyfieTFVBWanIaABJFNwAAANBkVI7nzthnchIAFSi6AQAAgCbAbvHSxsiOkqRLKLoBj0HRDQAAADQBiS3bq8DHT2El+eqec8zsOABOo+gGAAAAmoCKruUXZ+yXlwyT0wCoQNENAAAANAFrIztLYjw34GkougEAAIBGLtvqrx9axkqShmXsNzkNgF+i6AYAAAAauQ0RneSweKlzbrraFOeYHQfAL1B0AwAAAI1cxXjuobRyAx6HohsAAABoxAxJa6KcRTdLhQGeh6IbAAAAaMSSAyOUGhAmq6NMA7MOmh0HwP+g6AYAAAAasYqu5f2zkhVQbjc5DYD/RdENAAAANGJrKsdz07Uc8EQU3QAAAEAjZbd4aVNER0mM5wY8FUU3AAAA0Ehtb9lO+VY/tSwpUI+cY2bHAVADim4AAACgkVr7i67lXjJMTgOgJo2i6J47d67i4+Pl5+enfv36ae3atWc9/t1331WvXr0UEBCgNm3aaNq0acrKymqgtAAAAEDDqBjPPYz1uQGP5fFF9+LFi3XnnXfqoYceUmJiooYNG6bx48crJSWlxuPXrVunKVOm6KabbtKPP/6oDz/8UJs3b9bNN9/cwMkBAAAA98mx+uuHlrGSmEQN8GQeX3S/8MILuummm3TzzTerW7dueumllxQbG6vXX3+9xuM3bdqkuLg4zZw5U/Hx8Ro6dKhuueUWbdmypYGTAwAAAO6zIaKTHBYvdco7rujiHLPjADgDjy66S0tLtXXrVo0ZM6bK9jFjxmjDhg01PmfIkCE6evSovvzySxmGoePHj+ujjz7SFVdc0RCRAQAAgAZR2bX8BK3cgCfzMTvA2WRmZqq8vFytWrWqsr1Vq1ZKT0+v8TlDhgzRu+++q+uvv17FxcUqKyvTlVdeqVdeeeWM1ykpKVFJSUnl49zcXEmS3W6X3W53wStxj4psnpwROBPuX5jC4ZD8/CSbTfL1rfdp7Kefaz+Pc8hmk/z9zzuLS3hSloo8fn7Ovy8+I1zOJZ+/DofzXrFaJR+Tv076+jrv34r3tpn8/BosiyFpbVQXSdKQ7CTZa7peA+Y5p/Jy5/vZMOr9vua7AzxNbe9Fi2EYHjvN4bFjxxQTE6MNGzZo8ODBlduffPJJLVq0SHv27Kn2nJ9++kmjRo3SXXfdpbFjxyotLU333HOPLrroIr311ls1XufRRx/V7Nmzq21/7733FBAQ4LoXBAAAALhARpH0xHYfeVsMPX1RuWzeZicCmp/CwkJNnjxZOTk5CgkJOeNxHl10l5aWKiAgQB9++KGuvvrqyu1//vOftX37dq1evbrac2644QYVFxfrww8/rNy2bt06DRs2TMeOHVObNm2qPaemlu7Y2FhlZmae9YdnNrvdrhUrVmj06NGyWq1mxwHqhPsXpvj+e2n6dCk0VAoOrvdp7L6+WjFjhka/8YaspaX1O0l6unT4sNSunVTDv00NypOySFJenpSTI82bJw0YYHaaJscln7+7d0szZkjh4ZLZ35UOHZJ27pQiIqSWLc3NkpEhnTzp/LlERLj1Uu/GDtCj3a/UwJOH9M7meabnOafCQud7e8ECacSIep2C7w7wNLm5uYqIiDhn0e3R3ct9fX3Vr18/rVixokrRvWLFCk2cOLHG5xQWFsrnf7o5eXs7f/V3pt8v2Gw22WrocmO1WhvFG7qx5ARqwv2LBuXlJRUXu6yrpbW0tP5Fd0mJVFTk/H99z+EqnpSlIk9xsfPvi88Htzmvz18vL+e9YrdLZWWuDVZXpaXO+7e42HnvmKm4uMGyrG/ZQZJ0SfoeWc90rQbMc07Fxc7/LJbzfl/z3QGeorb3oUdPpCZJs2bN0ptvvql58+Zp9+7duuuuu5SSkqIZM2ZIkh544AFNmTKl8vgJEybok08+0euvv65Dhw5p/fr1mjlzpgYMGKDo6GizXgYAAADgEnaLlzZGdJIkXcJSYYDH8+iWbkm6/vrrlZWVpccee0xpaWnq2bOnvvzyS7Vv316SlJaWVmXN7htvvFF5eXl69dVXdffdd6tFixYaOXKknn32WbNeAgAAAOAy21u2U77VTy1LCtQj55jZcQCcg8cX3ZJ022236bbbbqtx34IFC6ptu+OOO3THHXe4ORUAAADQ8NaeXirs4sz98pLHTs8E4DSP714OAAAA4GcVRfclrM8NNAoU3QAAAEAjkWP1146WsZKkoYznBhoFim4AAACgkdgQ0UkOi5c65h1XdHGO2XEA1AJFNwAAANBIrI3sLEkaRis30GhQdAMAAACNgCFpTWQXSYznBhoTim4AAACgETgcGK6jgWGyOso0MOuQ2XEA1BJFNwAAANAIVMxa3vfkYQWWl5qcBkBtUXQDAAAAjUDlUmGM5wYaFR93nDQnJ0crVqxQcnKyLBaL4uPjNWrUKIWEhLjjcgAAAECTZrd4aWNER0nSMMZzA42Ky4vud955R3/605+Um5tbZXtoaKjeeOMNXX/99a6+JAAAANCk7WjZTnlWf7UsKVCPnFSz4wCoA5d2L9+2bZumTZumq666SomJiSoqKlJhYaG2bNmiCRMm6IYbbtCOHTtceUkAAACgyVtzumv5xZn75S3D5DQA6sKlLd2vvPKKrrrqKi1YsKDK9r59+2rhwoUqLCzUnDlzNG/ePFdeFgAAAGjS1rE+N9BoubSle/369brlllvOuH/GjBlat26dKy8JAAAANGk5Pn7a3rKdJGloxn6T0wCoK5cW3ceOHVNCQsIZ9yckJCg1lTEoAAAAQG1tjOwkh8VLHfOOK6Yo2+w4AOrIpUV3YWGh/Pz8zrjfZrOpuLjYlZcEAAAAmrSK8dx0LQcaJ5fPXr58+XKFhobWuC87O9vVlwMAAACatHWVRTddy4HGyOVF99SpU8+632KxuPqSAAAAQJN0OCBcKYHhsjrKNCjzoNlxANSDS4tuh8PhytMBAAAAzdqaKGcrd9+ThxVYXmpyGgD14dIx3QAAAABcZ+3pruWXMJ4baLRcWnQfOHBAW7durbJt5cqVGjFihAYMGKCnnnrKlZcDAAAAmqwyi5c2RnSUJA2l6AYaLZcW3ffcc4+WLl1a+TgpKUkTJkyQr6+vBg8erKefflovvfSSKy8JAAAANEk7WsQqz+qvFqUF6pnNsrtAY+XSMd1btmzRvffeW/n43XffVUJCgpYvXy5JuvDCC/XKK6/ozjvvdOVlAQAAgCanYjz3xRn75S3D5DQA6sulLd2ZmZlq27Zt5ePvvvtOEyZMqHx86aWXKjk52ZWXBAAAAJokxnMDTYNLi+6wsDClpaVJcs5kvmXLFg0cOLByf2lpqQyD39IBAAAAZ5Pj46ftLdtJkoayPjfQqLm06B4+fLgef/xxHTlyRC+99JIcDodGjBhRuf+nn35SXFycKy8JAAAANDkbIzrJYfFSh7wTiinKNjsOgPPg0jHdTz75pEaPHq24uDh5eXnp5ZdfVmBgYOX+RYsWaeTIka68JAAAANDkrI2iaznQVLi06I6Pj9fu3bv1008/KTIyUtHR0VX2z549u8qYbwAAAADVVYznHkbRDTR6Li26JclqtapXr1417jvTdgAAAABOhwPClRIYLh9HuQZmHjI7DoDz5NKie/r06TVuDw0NVZcuXfT73/9eQUFBrrwkAAAA0KSsjewsSep7MllB5SUmpwFwvlw6kdqpU6dq/G/79u16+OGH1aVLFx06xG/rAAAAgDNhPDfQtLi0pXvJkiVn3FdUVKQpU6bo/vvv1wcffODKywIAAABNwu6QNloV1VUSS4UBTYVLW7rPxt/fX/fdd582bdrUUJcEAAAAGo1sq7/+eNFUlXhbNezEXvXKPmJ2JAAu0GBFtySFhYUpOzu7IS8JAAAAeLxyWXRHv9/pSGC4Yguy9MrWd2UxOxQAl2jQonvDhg3q2LFjQ14SAAAA8Hh/6zZOa6O6yL+sVP/c/LZa2IvMjgTARVw6pvuHH36ocXtOTo42b96sp556Sk888YQrLwkAAAA0ap9HX6g3Oo+UJD23/QN1y00zOREAV3Jp0d27d29ZLBYZhlFtX2RkpO677z7NmDHDlZcEAAAAGq09wa11T+/rJUm3HFilCcd2mJwIgKu5tOhOSkqqcXtoaKhatGjhyksBAAAAjVq21V9/HHCjinx8NezEPt3705dmRwLgBi4tutu3b+/K0wEAAABNUrksmtnvd0o5PXHay1vflbeq9xYF0Pg16ERqAAAAAKS/dxunNVFd5FdWqn9sflst7YVmRwLgJhTdAAAAQAP6os2Fev0XE6d1Z+I0oEmj6AYAAAAayN7gVrqnzyRJ0h8PrNKVTJwGNHkU3QAAAEADyDk9cVqhj00XZ+zXvbu/MjsSgAbgtqI7Oztbb775ph544AGdPHlSkrRt2zalpqa665IAAACARyqXRTP7TtbhwAi1LTipV7e8Ix/DYXYsAA3ApbOXV/jhhx80atQohYaGKjk5WX/4wx8UFhamJUuW6PDhw1q4cKE7LgsAAAB4pOe7jtXqVl2ZOA1ohtzS0j1r1izdeOON2r9/v/z8/Cq3jx8/XmvWrHHHJQEAAACP9GWbCzQ34TJJ0rM7PlSP3GMmJwLQkNxSdG/evFm33HJLte0xMTFKT093xyUBAAAAj7M3uJX+0ud6SdIfDqzWxNTt5gYC0ODcUnT7+fkpNze32va9e/cqMjLSHZcEAAAAPMr/Tpx23+4vzY4EwARuKbonTpyoxx57THa7XZJksViUkpKi+++/X9dee22dzzd37lzFx8fLz89P/fr109q1a896fElJiR566CG1b99eNptNHTt21Lx58+r1WgAAAIC6KpdFf+77Wx0OjFBM4Um9spWJ04Dmyi1F99///ndlZGQoKipKRUVFGj58uDp16qTg4GA9+eSTdTrX4sWLdeedd+qhhx5SYmKihg0bpvHjxyslJeWMz5k0aZJWrlypt956S3v37tX777+vrl27nu/LAgAAAGrlxa5jtKpVN+fEad+/rbBSJk4Dmiu3zF4eEhKidevW6dtvv9W2bdvkcDjUt29fjRo1qs7neuGFF3TTTTfp5ptvliS99NJLWr58uV5//XU9/fTT1Y5ftmyZVq9erUOHDiksLEySFBcXd16vBwAAAKitZe376dUE5/feZ3d8qJ5MnAY0a24puiuMHDlSI0eOrPfzS0tLtXXrVt1///1Vto8ZM0YbNmyo8Tmffvqp+vfvr+eee06LFi1SYGCgrrzySj3++OPy9/ev8TklJSUqKSmpfFwxHt1ut1d2kfdEFdk8OSNwJty/MIXDIfn5STab5Otb79PYTz/Xfh7nkM0m+fufdxaX8KQsFXn8/Jx/X3xGuJxLPn8dDue9YrVKPm79Onluvr7O+7fivW0mPz/tj+msWcP/IEmalrxel2fult2sXH5+nvOzKS93vp8No97va747wNPU9l60GIZhuPrijz322Fn3P/zww7U6z7FjxxQTE6P169dryJAhldufeuopvf3229q7d2+154wbN06rVq3SqFGj9PDDDyszM1O33XabRo4cecZx3Y8++qhmz55dbft7772ngICAWmUFAABA81ZYJr2w01sZxRZ1DnHo1u4OeVvMTgXAXQoLCzV58mTl5OQoJCTkjMe55VeTS5YsqfLYbrcrKSlJPj4+6tixY62L7goWS9VPK8Mwqm2r4HA4ZLFY9O677yo0NFSSs4v6ddddp9dee63G1u4HHnhAs2bNqnycm5ur2NhYjRkz5qw/PLPZ7XatWLFCo0ePltVqNTsOUCfcvzDF999L06dLoaFScHC9T2P39dWKGTM0+o03ZC0trd9J0tOlw4eldu2kNm3qncUlPCmLJOXlSTk50rx50oABZqdpclzy+bt7tzRjhhQeLpn9XenQIWnnTikiQmrZ0rQYDln0x56TlBFzgaILsrTo238o/EOTx3FnZEgnTzr/niIizM1SWOh8by9YII0YUa9T8N0BnqamFbtq4paiOzExsdq23Nxc3Xjjjbr66qtrfZ6IiAh5e3tXW9v7xIkTatWqVY3PadOmjWJiYioLbknq1q2bDMPQ0aNH1blz52rPsdlsstXQ5cZqtTaKN3RjyQnUhPsXDcrLSyoudllXS2tpaf2L7pISqajI+f/6nsNVPClLRZ7iYuffF58PbnNen79eXs57xW6XyspcG6yuSkud929xsfPeMcnzXcZqdcwFstlL9M8VL6u1lwdMnFZc7BE/m8osxcWSxXLe72u+O8BT1PY+dMvs5TUJCQnRY489pv/7v/+r9XN8fX3Vr18/rVixosr2FStWVOlu/ksXX3yxjh07pvz8/Mpt+/btk5eXl9q2bVu/8AAAAMAZLGvdU690cU6c9syyV9Qz67DJiQB4kgYruiUpOztbOTk5dXrOrFmz9Oabb2revHnavXu37rrrLqWkpGjGjBmSnF3Dp0yZUnn85MmTFR4ermnTpumnn37SmjVrdM8992j69OlnnEgNAAAAqI/9QVG6u+/1kqTpO5fr6p9WmRsIgMdxS/fyl19+ucpjwzCUlpamRYsWady4cXU61/XXX6+srCw99thjSktLU8+ePfXll1+qffv2kqS0tLQqa3YHBQVpxYoVuuOOO9S/f3+Fh4dr0qRJeuKJJ87/hQEAAACn5fr46Y8DblSBj58GZR7QA98vNjsSAA/klqL7xRdfrPLYy8tLkZGRmjp1qh544IE6n++2227TbbfdVuO+BQsWVNvWtWvXal3SAQAAAFdxyKK7+v5WSUGRii48pde2vCOrUW52LAAeyC1Fd1JSkjtOCwAAAHiEl7qM1srW3WUrt+sfm99WeGmB2ZEAeKgGHdMNAAAANHbLW/fQy11GS5Ke3vGRLshJNTkRAE/mspbua665ptbHfvLJJ666LAAAANBgDgRF6e4+v5Ek3Xhora45us3kRAA8ncuK7l+uiw0AAAA0Nc6J06Yq3+qngZkH9dCPn5sdCUAj4LKie/78+a46FQAAAOBRHLJoVt/f6FBQ1OmJ0xbJajjMjgWgEWBMNwAAAHAOc7qM0jete8i33K43Ni9UBBOnAaglt8xeLkkfffSRPvjgA6WkpKi0tLTKvm3bGPsCAACAxmFFq+6a02WMJOnpHR/rwpyjJicC0Ji4paX75Zdf1rRp0xQVFaXExEQNGDBA4eHhOnTokMaPH++OSwIAAAAudyAoUnf1/a0k6cZD63Tt0a0mJwLQ2Lil6J47d67++c9/6tVXX5Wvr6/uvfderVixQjNnzlROTo47LgkAAAC4VJ6PTX+86EblW/00IPOgHvrxM7MjAWiE3FJ0p6SkaMiQIZIkf39/5eXlSZJuuOEGvf/+++64JAAAAOAyDll0V5/f6lBwlNoUZWsuE6cBqCe3FN2tW7dWVlaWJKl9+/batGmTJCkpKUmGYbjjkgAAAIDLvJJwmb5pUzFx2ttMnAag3txSdI8cOVKffebsfnPTTTfprrvu0ujRo3X99dfr6quvdsclAQAAAJf4plU3vdh1rCTpyR8+Ua9sJk4DUH8unb186dKlmjBhgv75z3/K4XB2v5kxY4bCwsK0bt06TZgwQTNmzHDlJQEAAACXORj488RpUw+t06+PbDE5EYDGzqVF93XXXaeIiAhNnTpV06dPV5cuXSRJkyZN0qRJk1x5KQAAAMCl8nxs+uOAqcqz+mtA1iH9lYnTALiAS7uXp6Sk6I477tCSJUvUvXt3DR06VPPnz1dBAWNgAAAA4LkcsujuPr/RweBWal2UrdeYOA2Ai7i06I6OjtZDDz2kffv26dtvv1XHjh01c+ZMtWnTRjfffLM2btzoyssBAAAALvFqwmX6uk3P0xOnLVRkSb7ZkQA0EW6ZSE2Shg8frrfffltpaWl64YUXtHv3bg0dOlQ9evRw1yUBAACAOlsdmaAXu4yWJD3xwyfqnX3E5EQAmhKXjumuSVBQkEaMGKHk5GTt2bNH+/btc/clAQAAgFo55heqO/tOlmHx0u+SN2oSE6cBcDG3tXQXFhbq7bff1vDhw5WQkKDFixdr1qxZSk5OdtclAQAAgFortXjr9v436JQtUBdkH9HDu/5jdiQATZDLW7rXr1+vefPm6cMPP1RZWZmuueYaffPNNxoxYoSrLwUAAADU2zPdL1diWHuFlBZq7pZFsjnKzY4EoAlyadGdkJCggwcPqk+fPnr22Wc1efJkhYaGuvISAAAAwHn7qs0FmtfxEknS84mLFVt4yuREAJoqlxbd48aN00033aRevXq58rQAAACAyyQHhuve3r+WJN1yYJVGH//J5EQAmjKXFt0vv/yyK08HAAAAuFSxl49u7T9FeVZ/XZR1SH/Z/ZXZkQA0cW6bSA0AAADwNI9ecJV2h0YrvCRfr2x9V1bDYXYkAE0cRTcAAACahY/b9tO/2w+UxXBoztb31Lo41+xIAJoBim4AAAA0eXuDW+mhC6+RJN25d4WGZu43ORGA5oKiGwAAAE1avrdNt/afomIfXw07sVd37FtpdiQAzYjLJlKryyRqM2fOdNVlAQAAgDMyJN3f+zodCo5S66JsvbTtfXnJMDsWgGbEZUX3iy++WKvjLBYLRTcAAAAaxKK4Ifo8prd8HOV6bcs7Ci8tMDsSgGbGZUV3UlKSq04FAAAAnLcdLdrq8Z4TJEn3//SF+p06bHIiAM0RY7oBAADQ5GRb/XVb/xtk9/LRuGM7ddOhtWZHAtBMuayl+38dPXpUn376qVJSUlRaWlpl3wsvvOCuywIAAKCZc8iiu/v8RqkBYWpfkKnntn8gi9mhADRbbim6V65cqSuvvFLx8fHau3evevbsqeTkZBmGob59+7rjkgAAAIAk6R+dhmtl6+7yLbdr7uZFCikrNjsSgGbMLd3LH3jgAd19993atWuX/Pz89PHHH+vIkSMaPny4fv3rX7vjkgAAAID+Gxavv3cdJ0mavXOpeuQeMzkRgObOLUX37t27NXXqVEmSj4+PioqKFBQUpMcee0zPPvusOy4JAACAZi7DFqQ7+v9O5V7euubIVv0m5XuzIwGAe4ruwMBAlZSUSJKio6N18ODByn2ZmZnuuCQAAACasXKLRX/uO1kn/EKVkJuuJ374mHHcADyCW8Z0Dxo0SOvXr1f37t11xRVX6O6779bOnTv1ySefaNCgQe64JAAAAJqxl3pP1IbIzgooK9HcLYsUUG43OxIASHJT0f3CCy8oPz9fkvToo48qPz9fixcvVqdOnfTiiy+645IAAABopr6L76tXejnX4356x0fqlH/C5EQA8DO3FN0dOnSo/HNAQIDmzp3rjssAAACgmUv1C9VdQ/8gSbohaYMmpm43NxAA/A+3jOnu0KGDsrKyqm3Pzs6uUpADAAAA9VUqL91+wSRl+4fowswk/fXHT82OBADVuKXoTk5OVnl5ebXtJSUlSk1NdcclAQAA0Mw8HdZX21vEKqQ4X6+tekM2R/XvnwBgNpd2L//0059/u7h8+XKFhoZWPi4vL9fKlSsVFxfnyksCAACgGfoyoJ3mh3aXJL3w5YuKzc+UwsJMTgUA1bm06L7qqqskSRaLpXKd7gpWq1VxcXF6/vnnXXlJAAAANDNJPsG6N3KIJOmWpLUadXCzFBlpcioAqJlLi26HwyFJio+P1+bNmxUREeHK0wMAAKCZK7Z469ao4cr38tWA4uO65+BKsyMBwFm5ZfbypKQkd5wWAAAAzdwj4QO0xxamiPIivXJijXwMh9mRAOCs3DKRmiStXr1aEyZMUKdOndS5c2ddeeWVWrt2rbsuBwAAgCbuo6AOWhzcWRbD0JwTa9WqvMjsSABwTm4put955x2NGjVKAQEBmjlzpv70pz/J399fl112md577706n2/u3LmKj4+Xn5+f+vXrV+viff369fLx8VHv3r3rfE0AAAB4jj3WFvpr+CBJ0l3Z23VxcbrJiQCgdtxSdD/55JN67rnntHjxYs2cOVN//vOftXjxYj3zzDN6/PHH63SuxYsX684779RDDz2kxMREDRs2TOPHj1dKSspZn5eTk6MpU6bosssuO5+XAgAAAJPlWay6LWq4ir18dElhqv6UvdPsSABQa24pug8dOqQJEyZU237llVfWebz3Cy+8oJtuukk333yzunXrppdeekmxsbF6/fXXz/q8W265RZMnT9bgwYPrdD0AAAB4DkPS/RGDdcg3VG3KCvRSxjr3jY8EADdwy2dWbGysVq6sPpPkypUrFRsbW+vzlJaWauvWrRozZkyV7WPGjNGGDRvO+Lz58+fr4MGDeuSRR2ofGgAAAB5nYXAXfREUJx/DoVdPrFaYo8TsSABQJy6dvXz69OmaM2eO7r77bs2cOVPbt2/XkCFDZLFYtG7dOi1YsEBz5syp9fkyMzNVXl6uVq1aVdneqlUrpafXPI5n//79uv/++7V27Vr5+NTu5ZWUlKik5OcP8NzcXEmS3W6X3W6vdd6GVpHNkzMCZ8L9C1M4HJKfn2SzSb6+9T6N/fRz7edxDtlskr//eWdxCU/KUpHHz8/598VnhMu55PPX4XDeK1arVMvvW/WxwzdcT4T3lyTdm52oC8uzZf/f6/n6Ou/five2mfz8PCeLp+UpL3e+nw2j3u9rvjvA09T2XrQYhmG46qLe3t5KS0tTVFSUlixZoueff167d++WJHXr1k333HOPJk6cWOvzHTt2TDExMdqwYUOVbuJPPvmkFi1apD179lQ5vry8XIMGDdJNN92kGTNmSJIeffRRLV26VNu3bz/jdR599FHNnj272vb33ntPAQEBtc4LAAAA1yiwS3/f6a2TJRb1CnNoWoJDFovZqQDgZ4WFhZo8ebJycnIUEhJyxuNcWnR7eXkpPT1dUVFRLjlfaWmpAgIC9OGHH+rqq6+u3P7nP/9Z27dv1+rVq6scn52drZYtW8rb27tym8PhkGEY8vb21tdff62RI0dWu05NLd2xsbHKzMw86w/PbHa7XStWrNDo0aNltVrNjgPUCfcvTPH999L06VJoqBQcXO/T2H19tWLGDI1+4w1ZS0vrd5L0dOnwYaldO6lNm3pncQlPyiJJeXlSTo40b540YIDZaZocl3z+7t4tzZghhYdLbviu5JB0S8RwrfKPUXt7npYcX6Zg4wwtSocOSTt3ShERUsuWLs9SJxkZ0smTzp9LRIS5WTwtT2Gh8729YIE0YkS9TsF3B3ia3NxcRUREnLPodnl/IIsLfwXp6+urfv36acWKFVWK7hUrVtTYYh4SEqKdO6vOZjl37lx9++23+uijjxQfH1/jdWw2m2w1dLmx/j979x0fRZ24cfyzmy3pgTRCIHSRJohgAUVAKaJiP/VQAbFxFn6K5UTvTvHs7bAB5ykgIrYDrBwQC01QRBBBEKWGEkoS0pPdze78/giJxCQQkl1mkzzv14tXsrOzM89OJss+me/O2O314he6vuQUqYr2XzmhrFYoLvbbUEu721370u1yQVFR6dfaLsNfgilLWZ7i4tKfl14fAqZOr79Wa+m+4vFASYl/gwGTY7qxOKwFDp+XyQcWE+s5yvW43e7S/be4uHTfMVNxcfBkCbY8xcWl/yyWOv9e672DBIua7od+L90dO3Y8ZvHOysqq8fLGjx/PDTfcQO/evenTpw+vv/46aWlp5cPHJ0yYwJ49e5g5cyZWq5Vu3bpVeHxiYiKhoaGVpouIiIhI8Pk2tBnPNz0VgMcyv6Or+5C5gURE6sjvpXvixInExMT4bXnXXHMNmZmZPPbYY6Snp9OtWzfmz59P69atAUhPTz/mNbtFREREJPgdCAnlroR++CxWrsjbyjX5W8yOJCJSZ34v3ddee63fPtNd5vbbb+f222+v8r4ZM2Yc9bGPPvoojz76qF/ziIiIiIh/lWBhXMK5HLSF09F9iMczv0PnTRORhsCv1+n25+e5RURERKTx+FfTHnwblkSEz8PkA0sIN/z/WXERETP4tXT78UToIiIiItJIfB3WgteadAfgqYyVdPDkmpxIRMR//Dq83Ofz+XNxIiIiItLA7QmJ4J6EcwC4IfcXLinYYW4gERE/8+uRbhERERGRmnJj5Y7Ec8kOcdLdlcHfMlebHUlExO/8fiI1EREREZGj8WLhkNXJy02782NoAjFeF68dWIITjZoUkYZHpVtERERE6sSNlUMhTjJDQsmyhpIZ4iTrj9+HhJJpLf0+2+rEOOIEvC8eXE5KSYGJz0BEJHBUukVERESkgmKPl6wCN1kFbjIL3GQVuMjMd/8+LT2DrN43kRkWTaYtnLwQR63WE+st5o7s9ZxftMfPz0BEJHiodIuIiIg0YIZhUOj2lhfoAzmFfHfAwp7l28kp8h4u1b+X66x8NwVu77EX3KRVhZtWw0dTn4tYr4tYbzHx3mJifcXEel3ElX9fTNzh+5v6XNjQlW9EpOFT6RYRERGpRwzDIM9VQla+u7wwZxW4Sr8/fDQ644gCnVngxlXyx89Kh8DW3466HpvVQmyEg9gIB3GRDmIjnMQdvh2bk0HcG5OJDbMTF2Yj1ltME59LZ+gVEamCSreIiIiIiXw+g5wiT5UF+vdpvx+JPlTgwe09/hOOOWxW4iIcNA234yvM4eQ2LYiPCi0t1X8o17ERDqJDbViO+Nx1BRtccGATxMeDLaaOW0BEpGFT6RYRERHxI6/P4FDh4aKc/4cifXhaZoGrvEwfKvTg9R3/MOtwR0iFwhwb4Txcmh0Vi3SEk9hIBxGOECwWCx6Ph/nz53Phhadgt9sDsAVERORIKt0iIiIiR+Eu8XGo8PcCfWRhPnJId9n07CIPRi0+qhzltBEb+XtRjotwEBt5ZKn+vUDHRTgItYf4/8mKiIjfqXSLiIhIo1LdmbkrDul2ld+fV1xSq/U0CbdXPhJdYRj370W6aYQdp00lWkSkIVLpFhERkXrrj2fmrnRpq9qemfsPrBZoGu6ocGKxuMOfff5jgY49/LlpW4hOKyYiIirdIiIiEkQMIM/mJCsygcwsD1kb95OZ76ryhGLVn5n72I56Zu4qTizWJMyO1VrNScVERESOQqVbREREAsYH5NhCkD4eXQABAABJREFUybSHk2UPJ8sWXv596dew0u9th++3h+OxHh5mvSwPlq2u0XrKzsx9ZGmOi3TW7szcIiIifqTSLSIiInWWZQvjnaSe/BKRUFqmD5foQ/YwvJbjH2Yd7ikmNiacuNio4zozt4iISLBR6RYREZFa2++I5PXkM5iddCpFIY5q54sqKSbWU0Ssp5C4kkJiPaX/4j2/fx/nKSTWU0Rc1j5CszLgvfegT58T+GxERET8T6VbREREjtsuZwxTWp7FfxNPwW0tfTvRLX8flx38mQR3QWmRLikt0k09RTiN4zh5ma92ZwsXEREJRirdIiIiUmNbwuKY3LIPHyd0KR82fnrOLu7YvYL+2dvRAG8REZGKVLpFRETkmDZENOO1ln1YEHcyxuHPTvc7tI07d6/kzNxdJqcTEREJXirdIiIiUq3VUS14tWVfFse2L582JPNX7ti9gh75+0xMJiIiUj+odIuIiEgFBrA8pg2vpvTlu5hWAFgNH8MzNnH77pWcXJhhbkAREZF6RKVbREREAPBh4YvYk3itZR/WRSUDYPd5ufLAesbu+ZY2xdnmBhQREamHVLpFREQaOS8WPut0LpPPHcHmmNKyHer1cO3+ddy65zuS3XkmJxQREam/VLpFREQaKbfFyryEbkzpfhM7ohIAiCxxccO+Ndy093viPYUmJxQREan/VLpFREQamWKrjfea9eD1Fmew1xkDQJOiXMZsXcao/F+J8bpMTigiItJwqHSLiIg0EnkhDmYl9eTN5DPIcEQAkODO59ZNXzDi69lEtEiC5GSTU4qIiDQsKt0iIiIN3CFbKNOb92ZGcm9ybaEAtCjOYeyeb/nT/p8I3bsbPMUmpxQREWmYVLpFREQaqAP2CN5ocQazknpSGOIAoF1hJrfvXsmlGRuxGz6TE4qIiDR8Kt0iIiINzG5nNP9ucSbvN+uB21r6X33n/P3cuXsFF2T+SgiGyQlFREQaD5VuERGR47DLGcNHSd3YvMdCZuKpRLsKifS6ifS6iPC6D3/vJuLwvxNZcLeGxTKlxVl8lNCVEmsIAKfl7ubO3SsZeGgrlhOWRERERMqodIuIiNRApi2MV1P68k5Sz9Kjx2nwWevzjvm4sMPlO+qIIh7pdROZkk1Eh4NEhjmICHMQWeKqUNbLivyR05yGt8p1bAxP5LWUPsyP64RhKa3WZ2fv4I7dK+iTk6ayLSIiYiKVbhERkaMosNp5o8UZ/Cf5DPJtTgDOzN0F7VvQdPMWCi02CkIcFIQ4yAtxln/vOXykuSjEQVGIg4w/LjgWaHV8WRy+kgqlPMLrxgDWRLcsn2dQ1m/cvmslp+XvrfVzFhEREf9R6RYREamC22Ll3Wan8krK2eWX1zolP52/7ljMmUXpzB86jgvnf4bd7a7y8S5LCAUhDvJDHOQfLuP5IQ7ybaWlPL/ARUFeIfkJSeTHxB4u607yDpf2svkLDpd2ALfVhttq45A9vMK6LIbBRRmbuGP3SjoXHgzshhEREZHjotItIiJyBB/waXwXXmjVj7SwpgC0Kcrivp1LuTDzF6yAx+E45nKchhdnSRGxJUVVz5CeDtu3Q5s2x7w2dgmW8iL+xyPqhSF2eubtpW3xoeN7oiIiInJCqHSLiIgABrCkSVuebT2AjZHNAEhw5/N/u5Zzzf6fTL28lg2DGK+LGK/LtAwiIiJSOyrdIiLS6K2NbM4zbQbwbUxrAKJKihm75ztu3LuacJ/H5HQiIiJSn6l0i4hIo7UlLJbnW/VnQfzJQOmJykal/8Dtu1fStKTY5HQiIiLSEKh0i4hIo7PPGc2k9hfwQbPu+CxWrIaPKw9s4O605bRw55odT0RERBoQlW4REWk0ctw+Jve4jBknD8QVYgdgcOav3L9zKR2LKl3US0RERKTOVLpFRKTBK3J7mbFiB1O+zCG3yxAAzsjZxV93LqZX3h6T04mIiEhDptItIiINVonXx4c/7GbSF7+yP7f0zN+dsvfwwJYvGOhKx2JyPhEREWn4VLpFRKTBMQyDBRv28dzCzWzLKACgRZMw7m1n5dIHniQkJgaio01OKSIiIo2BSreIiDQoK7Zm8MyCzazblQ1AbISDOwd24LqzWuH8fhUYhrkBRUREpFFR6RYRkQZhw54cnl24maW/HgQg3BHCzf3acUu/tkSF2k1OJyIiIo2VSreIiNRrOzMLeGHRr3yybi8A9hALI85oxZ3nnURClNPkdCIiItLYWc0OUBOTJ0+mbdu2hIaG0qtXL5YtW1btvHPnzmXw4MEkJCQQHR1Nnz59WLhw4QlMKyIiJ8KBvGL+8fEGzn9hSXnhvvTUZL4cP4CJl3ZT4RYREZGgEPSl+/333+fuu+/m4YcfZu3atfTr149hw4aRlpZW5fxLly5l8ODBzJ8/nx9++IGBAwcyfPhw1q5de4KTi4hIIOQVe3hh0WYGPLeYmSt3UuIz6N8xgc/HncNL1/akVVy42RFFREREygX98PIXX3yRm266iZtvvhmASZMmsXDhQqZMmcJTTz1Vaf5JkyZVuP3kk0/y8ccf8+mnn9KzZ88TEVlERALAVeJl1rdpvPb1FrIK3AD0SGnCgxd0ok/7OJPTiYiIiFQtqEu32+3mhx9+4MEHH6wwfciQIaxYsaJGy/D5fOTl5REbG1vtPC6XC5fLVX47NzcXAI/Hg8fjqUXyE6MsWzBnFKmO9l+pKa/P4JN16bz01Rb2ZBcD0C4+nPGDTmJIl0QsFkvN9yOfD0JDwekEh6PWmTyHH+upwzJwOiEsrM5Z/CKYspTlCQ0t/XnpNcLv/PL66/OV7it2O9hMfjvpcJTuv2W/22YKDQ2eLMGWx+st/X02jFr/Xuu9gwSbmu6LFsMI3mun7N27lxYtWvDNN9/Qt2/f8ulPPvkkb731Fps3bz7mMp577jmefvppNm3aRGJiYpXzPProo0ycOLHS9NmzZxMermGKIiJmMAz4OdvCZzutpBdZAIhxGAxr6eOMRIMQi8kBRUREpFErLCxkxIgR5OTkEB0dXe18QX2ku4zFUvGdlWEYlaZV5d133+XRRx/l448/rrZwA0yYMIHx48eX387NzSUlJYUhQ4YcdeOZzePxkJqayuDBg7HbdTkcqV+0/8rR/LDzEM+n/sbqndkARIfauO3ctow8qxWh9pDaL3jVKhgzBmJiICqq1ovxOBykjh3L4KlTsbvdtVvIvn2wcye0agXNm9c6i18EUxaAvDzIyYFp0+CMM8xO0+D45fV30yYYOxbi4sDs90rbtsH69RAfD02bmpvl4EHIyirdLvHx5mYJtjyFhaW/2zNmwMCBtVqE3jtIsCkbIX0sQV264+PjCQkJYd++fRWmHzhwgGbNmh31se+//z433XQTH374IYMGDTrqvE6nE2cVQ27sdnu9+IWuLzlFqqL9V460eV8ezy38hS82HQDAabNy49lt+Uv/9sSE+2E/sVqhuNhvQy3tbnftS7fLBUVFpV9ruwx/CaYsZXmKi0t/Xnp9CJg6vf5araX7iscDJSX+DXa83O7S/be4uHTfMVNxcfBkCbY8xcWl/yyWOv9e672DBIua7odBXbodDge9evUiNTWVyy+/vHx6amoql156abWPe/fddxkzZgzvvvsuF1100YmIKiIidbAnu4h/pf7KnDW7MQwIsVq4undL/u/8jiTFhJodT0RERKTWgrp0A4wfP54bbriB3r1706dPH15//XXS0tIYO3YsUDo0fM+ePcycORMoLdwjR47kpZde4qyzzio/Sh4WFkZMTIxpz0NERCrLKnAz+estzPx2J+4SHwDDuiVx39CTaZ8QaXI6ERERkboL+tJ9zTXXkJmZyWOPPUZ6ejrdunVj/vz5tG7dGoD09PQK1+z+97//TUlJCXfccQd33HFH+fRRo0YxY8aMEx1fRESqUOgu4c1l23l96TbyXKVDU/u0i+OvwzpxakoTc8OJiIiI+FHQl26A22+/ndtvv73K+/5YpBcvXhz4QCIiUiser4/3VqXx0pdbyMgv/Xxhl+bR/HVYJ849Kb5GJ8kUERERqU/qRekWEZH6zecz+Gx9Oi8s2szOzEIAWsWGc++QjgzvnozVqrItIiIiDZNKt4iIBNSy3w7yzIJf2LCn9LIa8ZEOxp1/Etee3gqHzWpyOhEREZHAUukWEZGAWLcrm2cX/sI3WzIBiHTauPXcdtx0TlsinPrvR0RERBoHvesRERG/2nYwn+cXbWb++tKrRzhCrFx/VmvuGNieuMi6XxtbREREpD5R6RYREb/Yn1vMpC9+44PVu/D6DCwWuLxnC8YP7kjLpuFmxxMRERExhUq3iIjUSU6Rh6lLtjL9m+0Ue0qvtT2ocyL3DT2ZTknRJqcTERERMZdKt4iI1Eqxx8tbK3YwefFWcoo8APRq3ZQHh3Xi9DaxJqcTERERCQ4q3SIiclxKvD7mrNnNpC9+Iz2nGICOzSK5f2gnBnVO1LW2RURERI6g0i0iIjViGAYLf97P84s2s+VAPgDJMaHcM7gjV5zWkhBda1tERESkEpVuERE5pm+3ZfLMgl9Ym5YNQJNwO3cO7MD1Z7Um1B5ibjgRERGRIKbSLSIi1dq4N5dnF/7C4s0HAQizh3Bzv7bccm47okPtJqcTERERCX4q3SIiUklmvoun/vcLc9bsxjDAZrXw5zNacdf5HUiMCjU7noiIiEi9odItIiLlfD6DD3/YxVP/+4XswtIzkg/vkcy9gzvSJj7C5HQiIiIi9Y9Kt4iIAPDb/jwenreBVTuyAOjcPJonLu/Gaa2ampxMREREpP5S6RYRaeSK3F5e/fo3Xl+6DY/XINwRwvjBHRndtw22EKvZ8URERETqNZVuEZFGbPHmA/z94w3syioCYHCXZjx6SVdaNAkzOZmIiIhIw6DSLSLSCB3ILWbiZxv5/Kd0AJrHhPLoJV0Z2jXJ5GQiIiIiDYtKt4hII+L1Gbzz3U6eW7CZPFcJVgvceHZb7hnckUin/ksQERER8Te9wxIRaSR+3pvDQ/M2sG5XNgA9UprwxGXd6NYixtxgIiIiIg2YSreISANX4CrhX6m/Mn3FDrw+gyinjQcuOJkRZ7YmxGoxO56IiIhIg6bSLSLSgC38eR+PfvIz6TnFAFzcvTn/uLgLidGhJicTERERaRxUukVEGqA92UU88vHPfLFpPwApsWH889JuDDg50eRkIiIiIo2LSreISANS4vUx/Zsd/OuLXyl0e7FZLdx6bjvuOu8kwhwhZscTERERaXRUukVEGoi1aYd4aN4GNqXnAnB6m6Y8cfkpdGwWZXIyERERkcZLpVtEpJ7LLfbw3ILNzPpuJ4YBTcLtPDSsM1f1aolVJ0oTERERMZVKt4hIPWUYBp/9lM5jn23kYJ4LgCtPa8lDF3YiLtJpcjoRERERAZVuEZF6aWdmAX//+GeW/noQgHYJETxx2Sn0aR9ncjIREREROZJKt4hIPeIu8fH60q288tUWXCU+HDYrdw7swG392+G06URpIiIiIsFGpVtEpJ74blsmD3+0gS0H8gE4u0Mcj192Cm3jI0xOJiIiIiLVUekWEQlyhwrcPDl/Ex/+sBuA+EgHf7+4C5f0SMZi0YnSRERERIKZSreISJAyDIM5a/bw5PxNZBW4ARhxZiv+OrQTMeF2k9OJiIiISE2odIuIBKEtB/L520fr+XZbFgCdkqJ44vJT6NW6qcnJREREROR4qHSLiASRYo+XyV9vYcqSrXi8BmH2EO4edBJjzmmLPcRqdjwREREROU4q3SIiJnCX+NiZWcDWgwVsPZjPtsNftx7IJ89VAsB5nRKZeElXUmLDTU4rIiIiIrWl0i0iEiCGYZBV4GbrwQK2HcyvUK53HSrC6zOqfFxSdCiPDO/CBd2SdKI0ERERkXpOpVtEpI48Xh87MwsPF+vfC/bWgwXkFHmqfVyk00b7hAjaJ0TSrvxr6fcaSi4iIiLSMKh0i4jU0KECd8Wh4IcLdlpWISXVHLW2WKBFk7A/FOsIOiREkhDl1JFsERERkQZOpVtE5AglXh9pWYXlxbr8a0ZB+WW7qhLuCKlUrNsnRNI2PoJQe8gJfAYiIiIiEkxUukWkUTAMg3xXCYcKPGQWuMgqcJNZ4C79mu9iZ2YhWw8ftfZ4qz5qDaVHrf9YrNslRJAUHaqj1iIiIiJSiUq3SANQ4vWRWeDmYJ6Lg/kuMsq/uivczi3yEOm0ERVmJzrURkyYnegwO9GhdqLDbIe/Vn2f0xZcR2t9PoOcIk95cc4qcJV+n19apg8VlhXqw/cXunGX+Gq07DB7CG3jI2ifGEm7I762S4gg3KGXTRERERGpOb17FAlSXp/BocLDRTrPRUb+H7+6y29nFboxqj84W8GBPFet8jht1moLeVlZj6mmwEeH2Y95YjB3iY/swiOOPhe4ycp3lRfmCgX6cKmu5mPURxVqtxIX4SQ2wkFshIO4w19bNg2jXUIk7RMjaR4ditWqo9YiIiIiUncq3SInUNnR2SOPPh884uuRRToz33VcpdJqgbhIJ/GRThKinCREOomPcpBwxO3oMDsFrhJyi0vILfKQU+Qht9hDblHJ4a+/3y67L6+49JrRrhJf+R8AaiPcEVKhkIc7rKSlh/Di5uVkFbrL13O8okJt5cU5NsJZ+n2kg9jww9Mify/WcRFOwhzBdcReRERERBo2lW6Rw3w+A7fXh8vjw1XixVVS+rXY4yv/3lVSen/pfGXzHL6vmvnyiz3lQ70z8l3VnuW6KhYLxIY7yot0fKSjtEBHOY+YVvq1abiDkAAcnfX6Sj8LXVbIc4r+WNJLjijrle/Ld5WW6UK3l0K3l325FZ4hUFh+y2qBpmVlOcJBXOTvZTo23E5spPOIAu2gSbgDh02X1hIRERGR4KXSLfWCz2dQ4C6hwOUl31VCweF/+Yf/lX7vLZ9W7Pm9NLvLinGFMl25NB/t5Fn+1iTcXlqWI53E/+GodNntxKjSIdA2k6/XHGK1EHN46HhtlHh95LtKKpX17EIXv/38E4P6nUViTDhxEQ5iwuwa1i0iIiIiDYpKtwSEYRi4SnxHFOLSwlxQoSQfnuYuIa+4YpH+Y8EudHtPaH6rBZy2EJx2K06btfR7m/Xw7RAcIdZq7yub5rCV3h/hDKlwVDou0hF0JyULJFuIlSbhpUelj+TxeJi/bx2nt2mK3V67Qi8iIiIiEuxUuhu5Eq+PQo+XosNDfwvdJRS5vRR5Sm//cXrZvL9/X1I+bLjQXUJ+cVlp9uKtzVmujiHEaiHCEUKk00ZkqI0Ip41Ip40IR9n3IUQ4bYTZQwi1VyzNZSX4qGX68Dw2q0WXfxIRERERkTqrF6V78uTJPPfcc6Snp9O1a1cmTZpEv379qp1/yZIljB8/np9//pnk5GQeeOABxo4dewITB97uQ4Vs3JPN2gwLhWv24PZyuCSXluCiI4v0EeW4bFrZ/W5vzS6hVBcRjpDfy7HTRoQz5IjvjyzNv0+vat5Ipw2nzaoyLCIiIiIi9UbQl+7333+fu+++m8mTJ3P22Wfz73//m2HDhrFx40ZatWpVaf7t27dz4YUXcssttzBr1iy++eYbbr/9dhISErjyyitNeAaBkbpxPxM/3QiEwG8/13l5IVYL4fYQQh0hhDtCCLOXfg132AhzlH0fQpjdVvr1iHnCDs9XVq5/L80hRDhs+oyuiIiIiIg0WkFful988UVuuukmbr75ZgAmTZrEwoULmTJlCk899VSl+adOnUqrVq2YNGkSAJ07d2b16tU8//zzDap0N48J5ZQW0RTm5tAyKYGIUFt5If69CIcQ5rARbj9ckh0hhNurKNKO0s8o6wiyiIiIiIiIfwV16Xa73fzwww88+OCDFaYPGTKEFStWVPmYlStXMmTIkArThg4dyptvvonH42kwJ2y6oFtzzj85nvnz53Phhac1mOclIiIiIiLSkAR16c7IyMDr9dKsWbMK05s1a8a+ffuqfMy+ffuqnL+kpISMjAyaN29e6TEulwuXy1V+Oze39ELCHo8Hj8dT16cRMGXZgjmjSHW0/4opfD4IDQWnExyOY89fDc/hx3rqsAycTggLq3MWvwimLGV5QkNLf156jfA7v7z++nyl+4rdDjaT3046HKX7b9nvtplCQ4MnS7Dl8XpLf58No9a/13rvIMGmpvtiUJfuMn8c9mwYxlGHQlc1f1XTyzz11FNMnDix0vRFixYRHh5+vHFPuNTUVLMjiNSa9l854Z591m+LSm1gJ+kMOhkZMH++2SkarDq//v71r/4JIo1LUVGdf6/13kGCRWFhYY3mC+rSHR8fT0hISKWj2gcOHKh0NLtMUlJSlfPbbDbi4uKqfMyECRMYP358+e3c3FxSUlIYMmQI0dHRdXwWgePxeEhNTWXw4MEaXi71jvZfMcWqVTBmDMTEQFRUrRfjcThIHTuWwVOnYne7a7eQfftg505o1QqqGIV1QgVTFoC8PMjJgWnT4IwzzE7T4Pjl9XfTJhg7FuLiwOz3Stu2wfr1EB8PTZuam+XgQcjKKt0u8fHmZgm2PIWFpb/bM2bAwIG1WoTeO0iwKRshfSxBXbodDge9evUiNTWVyy+/vHx6amoql156aZWP6dOnD59++mmFaYsWLaJ3797V/nI6nU6cVQy5sdvt9eIXur7kFKmK9l85oaxWKC7221BLu9td+9LtcpUe8XG5oLbL8JdgylKWp7i49Oel14eAqdPrr9Vauq94PFBS4t9gx8vtLt1/i4tL9x0zFRcHT5Zgy1NcXPrPYqnz77XeO0iwqOl+aA1wjjobP348b7zxBtOmTWPTpk3cc889pKWllV93e8KECYwcObJ8/rFjx7Jz507Gjx/Ppk2bmDZtGm+++Sb33XefWU9BREREREREGqmgPtINcM0115CZmcljjz1Geno63bp1Y/78+bRu3RqA9PR00tLSyudv27Yt8+fP55577uG1114jOTmZl19+uUFdLkxERERERETqh6Av3QC33347t99+e5X3zZgxo9K0/v37s2bNmgCnEhERERERETm6oB9eLiIiIiIiIlJfqXSLiIiIiIiIBIhKt4iIiIiIiEiAqHSLiIiIiIiIBIhKt4iIiIiIiEiAqHSLiIiIiIiIBEi9uGTYiWYYBgC5ubkmJzk6j8dDYWEhubm52O12s+OIHBftv2KKggLw+SA/H7zeWi/G43SW7r/Z2dhdrtotpKgIDAOKi+HQoVpn8YtgylKWx+cr/XkF+f/F9ZFfXn/Lfodyc6GkxL8Bj1dhYen+63ZDXp65Wcq2hcdjfhYIrjzFxaU/pzr8Xuu9gwSbsr5Y1h+rYzGONUcjtHv3blJSUsyOISIiIiIiIkFu165dtGzZstr7Vbqr4PP52Lt3L1FRUVgsFrPjVCs3N5eUlBR27dpFdHS02XFEjov2X6nPtP9Kfab9V+or7bsSbAzDIC8vj+TkZKzW6j+5reHlVbBarUf9S0WwiY6O1guP1Fvaf6U+0/4r9Zn2X6mvtO9KMImJiTnmPDqRmoiIiIiIiEiAqHSLiIiIiIiIBIhKdz3mdDp55JFHcDqdZkcROW7af6U+0/4r9Zn2X6mvtO9KfaUTqYmIiIiIiIgEiI50i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreIiIiIiIhIgKh0i4iIiIiIiASISreISDUsFkuN/i1evPiYy3ryySf56KOP6pzn0Ucfrfb+jz/+GIvFwtSpU6udJzU1FYvFwosvvljj9Y4ePZo2bdocR1L/sVgs3HnnnVXe99///rfS9jcMg/fee49+/fqRmJhIaGgoLVu2ZOjQobzxxhuVll32LyQkhKZNm9KjRw9uu+02vv322+PKWVBQwNNPP03Pnj2JjIwkIiKCU089lSeffJKCgoLjft6Bsnjx4hrv1wBt2rRh9OjR5oY+wowZM7BYLOzYscNvyywoKOCZZ56hR48eREdHExUVRfv27bn66qtZsmRJ+XwbN27k0UcfrdO6V6xYwaOPPkp2dnbdg9fS2rVr6d+/PzExMVgsFiZNmlTtvH/cJ2JiYhgwYACff/75ca83ED+7I82ePbva53Ks104RkUCzmR1ARCRYrVy5ssLtf/7zn3z99dd89dVXFaZ36dLlmMt68sknueqqq7jsssv8GbGCiy66iKSkJKZNm8bYsWOrnGf69OnY7XZuuOGGgOUw04QJE3jmmWe45ZZbuP/++4mKimLnzp189dVXfPzxx9x8880V5r/qqqu49957MQyD3NxcNmzYwMyZM3n99dcZN24cL7300jHXuX//fgYNGsTWrVsZN24czz77LABfffUVjz/+OO+++y5ffPEFzZo1C8hzPh6nnXZapf368ssvp3379jz//POV5p83bx7R0dEnKt4xXXTRRaxcuZLmzZv7ZXler5chQ4awfv167r//fs444wwAfvvtNz799FOWLVtG//79gdLSPXHiRAYMGFDrP0KtWLGCiRMnMnr0aJo0aeKX53C8xowZQ0FBAe+99x5NmzY95nMp+x3x+Xxs27aNxx9/nOHDh/Ppp59y0UUXnZjQNTB79mw2bNjA3XffXem+lStX0rJlyxMfSkTkMJVuEZFqnHXWWRVuJyQkYLVaK00PFjabjZEjR/Lss8+yYcMGunXrVuH+7Oxs5s2bxyWXXEJCQoJJKQOnqKiISZMmMXLkSF5//fUK940ePRqfz1fpMc2aNavw8xw6dCh33303t956Ky+//DKdOnXiL3/5y1HXO3LkSH755Re+/vprzjnnnPLpgwcP5qKLLmLgwIGMGjWKBQsW1PEZHp+ioiLCwsIqTIuOjq60/zqdTpo0aVLlft2zZ8+AZjxeCQkJft13ly5dyooVK5g2bRo33nhj+fShQ4dy5513VrnP1HcbNmzglltuYdiwYTWa/8jfkb59+9KnTx86dOjApEmTgqp0H02wvmaLSOOh4eUiInWQlZXF7bffTosWLXA4HLRr146HH34Yl8tVPo/FYqGgoIC33nqrfJjmgAEDADh48CC33347Xbp0ITIyksTERM477zyWLVtWqzw33XQTUHpE+4/effddiouLGTNmDACvvfYa5557LomJiURERHDKKafw7LPP4vF4jrqOHTt2YLFYmDFjRqX7qhrG+dtvvzFixAgSExNxOp107tyZ1157rVbP72gKCgpwuVzVHgW1Wmv2X15ISAivvvoq8fHxPPfcc0edd/Xq1SxatIibbrqpQuEuc8455zBmzBgWLlzIDz/8AJQW2X79+lWa1+v10qJFC6644oryaW63m8cff5xOnTrhdDpJSEjgxhtv5ODBgxUe26ZNGy6++GLmzp1Lz549CQ0NZeLEiTV6vkfzx+HlZcPTZ8+ezV//+leaN29OZGQkw4cPZ//+/eTl5XHrrbcSHx9PfHw8N954I/n5+RWWaRgGkydP5tRTTyUsLIymTZty1VVXsW3btmPmqWqI8oABA+jWrRvff/89/fr1Izw8nHbt2vH0008fszRnZmYCHHOfmTFjBn/6058AGDhwYPnvcdnvQGpqKpdeeiktW7YkNDSUDh06cNttt5GRkVG+rEcffZT7778fgLZt21b58ZT333+fPn36EBERQWRkJEOHDmXt2rXH3C5QWqYvvfRSmjZtSmhoKKeeeipvvfVWpW1XUlLClClTKnyM4Hi0b9+ehIQEdu7cWePnfjRffPEF559/PtHR0YSHh3P22Wfz5ZdfVpjn4MGD3HrrraSkpJT/Hpx99tl88cUXAOVD3nfu3FnpIxJQ+XWpbFt8/fXX/OUvfyE+Pp64uDiuuOIK9u7dWyljXX4uIiKg0i0iUmvFxcUMHDiQmTNnMn78eD7//HOuv/56nn322QrFaeXKlYSFhXHhhReycuVKVq5cyeTJk4HS0g7wyCOP8PnnnzN9+nTatWvHgAEDavRZ8T/q2LEj55xzDrNmzapUnqdPn06LFi0YOnQoAFu3bmXEiBG8/fbbfPbZZ9x0000899xz3HbbbbXcIpVt3LiR008/nQ0bNvDCCy/w2WefcdFFFzFu3Di/lMIjxcfH06FDByZPnsyLL77IL7/8gmEYtVpWWFgYgwYNYvv27ezevbva+VJTUwGO+rGBsvvK5r3xxhtZvnw5v/32W4X5Fi1axN69e8uPuPp8Pi699FKefvppRowYweeff87TTz9NamoqAwYMoKioqMLj16xZw/3338+4ceNYsGABV1555fE+7Rp76KGHOHDgADNmzOCFF15g8eLF/PnPf+bKK68kJiaGd999lwceeIC3336bhx56qMJjb7vtNu6++24GDRrERx99xOTJk/n555/p27cv+/fvr1Weffv2cd1113H99dfzySefMGzYMCZMmMCsWbOO+rjevXtjt9v5v//7P9555x3S09OrnO+iiy7iySefBEr/WFX2e1x2pHfr1q306dOHKVOmsGjRIv7xj3/w3Xffcc4555T/Ht58883cddddAMydO7d8GaeddhpQ+hGUP//5z3Tp0oUPPviAt99+m7y8PPr168fGjRuP+jw2b95M3759+fnnn3n55ZeZO3cuXbp0YfTo0eUfdygbmg+lQ8bL1n+8Dh06RGZmZvmIg5o89+rMmjWLIUOGEB0dzVtvvcUHH3xAbGwsQ4cOrVC8b7jhBj766CP+8Y9/sGjRIt544w0GDRpU/keTyZMnc/bZZ5OUlFT+vGry3G6++WbsdjuzZ8/m2WefZfHixVx//fUV5qnLz0VEpJwhIiI1MmrUKCMiIqL89tSpUw3A+OCDDyrM98wzzxiAsWjRovJpERERxqhRo465jpKSEsPj8Rjnn3++cfnll1e4DzAeeeSRYy5j+vTpBmDMnTu3fNqGDRsMwHj44YerfIzX6zU8Ho8xc+ZMIyQkxMjKyiq/b9SoUUbr1q3Lb2/fvt0AjOnTp1dazh8zDh061GjZsqWRk5NTYb4777zTCA0NrbCeqgDGHXfcUeV9H374oQEYX3/9dfm0VatWGa1atTIAAzCioqKMiy++2Jg5c6bh8/lqvGzDMIy//vWvBmB899131c4zduxYAzB++eWXaufZtGmTARh/+ctfDMMwjIyMDMPhcBgPPfRQhfmuvvpqo1mzZobH4zEMwzDeffddAzDmzJlTYb7vv//eAIzJkyeXT2vdurUREhJibN68udoc1WndurVx0UUXVXvfkfvt119/bQDG8OHDK8x39913G4Axbty4CtMvu+wyIzY2tvz2ypUrDcB44YUXKsy3a9cuIywszHjggQeOmrVs396+fXv5tP79+1f5c+rSpYsxdOjQoy7PMAzjzTffNCIjI8v3mebNmxsjR440li5dWmG+qva3qvh8PsPj8Rg7d+40AOPjjz8uv++5556rlN8wDCMtLc2w2WzGXXfdVWF6Xl6ekZSUZFx99dVHXee1115rOJ1OIy0trcL0YcOGGeHh4UZ2dnb5tGPt90cCjNtvv93weDyG2+02Nm3aZAwbNswAjNdee+24nvsff3YFBQVGbGxspX3J6/UaPXr0MM4444zyaZGRkcbdd9991KwXXXRRhdepPz6PI1+XyrLcfvvtFeZ79tlnDcBIT083DKPuPxcRkTI60n0MS5cuZfjw4SQnJ2OxWI777MOPPvpolWeFjYiICExgETlhvvrqKyIiIrjqqqsqTC8bjvvHIZLVmTp1KqeddhqhoaHYbDbsdjtffvklmzZtqlWuq6++mqioKKZNm1Y+bdq0aVgslgqfW127di2XXHIJcXFxhISEYLfbGTlyJF6vl19//bVW6z5ScXExX375JZdffjnh4eGUlJSU/7vwwgspLi4+7rOEH8vpp5/Oli1bWLBgAQ899BB9+vThyy+/ZOTIkVxyySXHdeT7eOatyXLKhrvGxcUxfPhw3nrrrfLhz4cOHeLjjz9m5MiR2Gylp1v57LPPaNKkCcOHD6+w7U499VSSkpIqjYTo3r07HTt29EvmY7n44osr3O7cuTNApc/4du7cmaysrPIh5p999hkWi4Xrr7++wnNKSkqiR48etRrdAZCUlFR+ErQy3bt3Lx8CfTRjxoxh9+7dzJ49m3HjxpGSksKsWbPo37//MT9eUObAgQOMHTuWlJSU8t/h1q1bA9To93jhwoWUlJQwcuTICtslNDSU/v37H3O7fPXVV5x//vmkpKRUmD569GgKCwtrdUS7zOTJk7Hb7TgcDjp37syKFSt47LHHuP3224HaP/cVK1aQlZXFqFGjKjxnn8/HBRdcwPfff19+5v8zzjiDGTNm8Pjjj/Ptt98e8wh6TV1yySUVbnfv3h2gfL+p689FRKSMTqR2DAUFBfTo0YMbb7yxVkP17rvvvkpnET7//PM5/fTT/RVRREySmZlJUlJSpc9FJiYmYrPZyoc+Hs2LL77Ivffey9ixY/nnP/9JfHw8ISEh/P3vf6916Q4PD+faa69l+vTp7Nu3j/j4+PIS0b59ewDS0tLo168fJ598Mi+99BJt2rQhNDSUVatWcccdd1QaulwbmZmZlJSU8Morr/DKK69UOc+xPvcZEhKC1+ut8r6SkhIA7HZ7hel2u52hQ4eWD6PPzMzkqquu4rPPPuN///sfF154YY3yl73xTk5OrnaeVq1aAbB9+3ZOPvnkKucp+/zxkYVozJgxzJkzh9TUVIYOHcq7776Ly+Wq8Pnp/fv3k52djcPhqHK5f9x2/jqjd03ExsZWuF2WsbrpxcXFREZGsn//fgzDqPZM7u3atatVnri4uErTnE5njffjmJgY/vznP/PnP/8ZgJ9//plBgwbx8MMPc8sttxz1TOM+n48hQ4awd+9e/v73v3PKKacQERGBz+fjrLPOqlGGsmH11b03ONb5CDIzM6v8+ZftuzV5LarO1Vdfzf3334/FYim/nFpISAhQt+de9pz/+EfLI2VlZREREcH777/P448/zhtvvMHf//53IiMjufzyy3n22WdJSkqq9XP7437jdDoBynPX9eciIlJGpfsYhg0bdtQzfLrdbv72t7/xzjvvkJ2dTbdu3XjmmWfKT5IUGRlJZGRk+fzr1q1j48aNR72OrojUD3FxcXz33XcYhlGheB84cICSkhLi4+OPuYxZs2YxYMAApkyZUmF6Xl5enbLddNNN/Oc//2HmzJl07NiRAwcO8MILL5Tf/9FHH1FQUMDcuXPLj0oB/Pjjj8dcdmhoKECFk8VB5Tf2TZs2JSQkhBtuuIE77rijymW1bdv2qOtq1qwZe/bsqfK+sunHuhRXXFwcd999N4sXL2bDhg01Kt1FRUV88cUXtG/f/qiXGho8eDAPPfQQH330ERdccEGV85SNkBo8eHD5tKFDh5KcnMz06dMZOnQo06dP58wzz6xw+bmykztVd9bzqKioCrdrc1KsEy0+Ph6LxcKyZcvKC86Rqppmhq5du3LttdcyadIkfv3110pH0Y+0YcMG1q1bx4wZMxg1alT59C1bttR4fWWvFf/9738r/D7WVFxcXJWfRy87KVhNXouqk5CQQO/evau8ry7PvSzTK6+8Uu3Zxct+t+Pj45k0aRKTJk0iLS2NTz75hAcffJADBw4E9KoAdf25iIiUUemuoxtvvJEdO3bw3nvvkZyczLx587jgggtYv349J510UqX533jjDTp27FjlmWtFpH45//zz+eCDD/joo4+4/PLLy6fPnDmz/P4y1R11s1gslYrGTz/9xMqVKysNFT0eZ555Jt26dWP69Ol07NiRmJiYCqN1ygrakes2DIP//Oc/x1x2s2bNCA0N5aeffqow/eOPP65wOzw8nIEDB7J27Vq6d+9e7RHboxk0aBBz587l4MGDFS4VZRgGH374IW3atKFDhw4AeDwecnNzqzzqWTZq4GhHrct4vV7uvPNOMjMzeeqpp446b+/evRkyZAhvvvkmN9xwA2effXaF+5cvX860adO44IIL6NWrV/n0sj9GTJo0iWXLlrF69Wr+/e9/V3jsxRdfzHvvvYfX6+XMM888Zu764OKLL+bpp59mz549XH311WbHITMzk6ioqCr3zV9++QX4fZ/541HQMlX9LgGVfp5HW8bQoUOx2Wxs3bq1VqPqzj//fObNm8fevXsr7OMzZ84kPDw8YJfMOp7n/kdnn302TZo0YePGjdx55501XmerVq248847+fLLL/nmm2/Kpx/PyIaaquvPRUSkjEp3HWzdupV3332X3bt3l/8nd99997FgwQKmT59efqbTMi6Xi3feeYcHH3zQjLgi4mcjR47ktddeY9SoUezYsYNTTjmF5cuX8+STT3LhhRcyaNCg8nlPOeUUFi9ezKeffkrz5s2Jiori5JNP5uKLL+af//wnjzzyCP3792fz5s089thjtG3btnz4dG2NGTOG8ePHs3nzZm677bYK12wePHgwDoeDP//5zzzwwAMUFxczZcoUDh06dMzlln0md9q0abRv354ePXqwatUqZs+eXWnel156iXPOOYd+/frxl7/8hTZt2pCXl8eWLVv49NNP+eqrr466rn/84x98+umnnHnmmTz44IOcdNJJ7Nu3j//85z98//33fPDBB+Xz5uTk0KZNG/70pz8xaNAgUlJSyM/PZ/Hixbz00kt07ty5wlnloXT46LfffothGOTl5bFhwwZmzpzJunXruOeee7jllluOuT1mzpzJoEGDGDJkCOPGjSv/Y8tXX33FSy+9RKdOnaq8vNqYMWN45plnGDFiBGFhYVxzzTUV7r/22mt55513uPDCC/m///s/zjjjDOx2O7t37+brr7/m0ksvrfDHnvrg7LPP5tZbb+XGG29k9erVnHvuuURERJCens7y5cs55ZRTjnlddH/6+uuv+b//+z+uu+46+vbtS1xcHAcOHODdd99lwYIFjBw5snykQ9l1719//XWioqIIDQ2lbdu2dOrUifbt2/Pggw9iGAaxsbF8+umn5WerP9Ipp5wClP5ejBo1Crvdzsknn0ybNm147LHHePjhh9m2bRsXXHABTZs2Zf/+/axatYqIiIijnu3/kUce4bPPPmPgwIH84x//IDY2lnfeeYfPP/+cZ599lpiYmABsPY7ruf9RZGQkr7zyCqNGjSIrK4urrrqKxMREDh48yLp16zh48CBTpkwhJyeHgQMHMmLECDp16kRUVBTff/89CxYsqPD7fMoppzB37lymTJlCr169sFqt1R6hr6m6/lxERMqZdQa3+ggw5s2bV377gw8+MAAjIiKiwj+bzVblGS1nz55t2Gy28rNiikj98sezlxuGYWRmZhpjx441mjdvbthsNqN169bGhAkTjOLi4grz/fjjj8bZZ59thIeHG4DRv39/wzAMw+VyGffdd5/RokULIzQ01DjttNOMjz76qNIZww2j5mcvL3Pw4EHD4XAYgLFq1apK93/66adGjx49jNDQUKNFixbG/fffb/zvf/+rdIbmqrLk5OQYN998s9GsWTMjIiLCGD58uLFjx44qM27fvt0YM2aM0aJFC8NutxsJCQlG3759jccff7xGz+O3334zrr/++vJt3KRJE2PIkCHGl19+WWE+l8tlPP/888awYcOMVq1aGU6n0wgNDTU6d+5sPPDAA0ZmZmaF+Tl8tmrAsFqtRnR0tHHKKacYt956q7Fy5coaZSuTn59vPPnkk8app55qhIeHG+Hh4Ub37t2Nxx9/3MjPz6/2cX379jUA47rrrqvyfo/HYzz//PPlP6fIyEijU6dOxm233Wb89ttv5fMd7Qzkx1Kbs5d/+OGHFeYrOxv0999/X2H6I488YgDGwYMHK0yfNm2aceaZZxoRERFGWFiY0b59e2PkyJHG6tWrj5q1urOXd+3atdK8Ve23f7Rr1y7jb3/7m3H22WcbSUlJhs1mM6KioowzzzzTeOWVV4ySkpIK80+aNMlo27atERISUuEM/hs3bjQGDx5sREVFGU2bNjX+9Kc/GWlpaVX+PkyYMMFITk42rFZrpd+1jz76yBg4cKARHR1tOJ1Oo3Xr1sZVV11lfPHFF0d9HoZhGOvXrzeGDx9uxMTEGA6Hw+jRo0e1Vxg4nrOXH2vemj73qn52hmEYS5YsMS666CIjNjbWsNvtRosWLYyLLrqofB8rLi42xo4da3Tv3t2Ijo42wsLCjJNPPtl45JFHjIKCgvLlZGVlGVdddZXRpEkTw2KxGEe+xa0uyx/317L9+49nqK/Lz0VExDAMw2IYfjo9ayNgsViYN29e+TVX33//fa677jp+/vnn8pOKlImMjKx0co/zzz+f6Oho5s2bd6Iii4iIiIiIiIk0vLwOevbsidfr5cCBA8f8jPb27dv5+uuv+eSTT05QOhERERERETGbSvcx5OfnVzgL5/bt2/nxxx+JjY2lY8eOXHfddYwcOZIXXniBnj17kpGRwVdffcUpp5xS4Qy506ZNo3nz5kc9E7qIiIiIiIg0LBpefgyLFy9m4MCBlaaPGjWKGTNm4PF4ePzxx5k5cyZ79uwhLi6OPn36MHHixPITpvh8Plq3bs3IkSN54oknTvRTEBEREREREZOodIuIiIiIiIgEiNXsACIiIiIiIiINlUq3iIiIiIiISIDoRGpV8Pl87N27l6ioKCwWi9lxREREREREJMgYhkFeXh7JyclYrdUfz1bprsLevXtJSUkxO4aIiIiIiIgEuV27dtGyZctq71fprkJUVBRQuvGio6NNTlM9j8fDokWLGDJkCHa73ew4Iselwe2/q1bBjTeCwwFhYWangUOHID0dmjeHpk2Vxc9ZPE4ni+67jyHPP4/d5TI1i18EUxaA3FzYuxc6dYKkJHOzHDwIv/4KHTtCQkKDyOKx2Vg0ahRD3noLe0mJqVn8Ipiy7NkDmzdDkyYQEWFuFoC8PMjJgZgYOPz+tj5n8TidLPrnPxny97/X/rXXT1n8pixLUhLExZmbJTMT9u0Lju0CUFwMJSUwfTqcd57ZaaqUm5tLSkpKeX+sjkp3FcqGlEdHRwd96Q4PDyc6OrphlBZpVBrc/hsRAVYrREZCMLxuFBeDxQKhoeaXqAaYxeNwlO6/TZpgd7tNzeIXwZQFwO0uzRMRYf6b0LJtExnZYLJ4bLbS/TcurvaluwFuF784dKg0i8MRHKWlqKj0q91ufh4/ZPE4naX7blQUdofD1Cx+U/bHg2B4/S0oKP0aLPuv1Vr6R4mIiOB4b3UUx/pIsk6kJiIiIiIiIhIgKt0iIiIiIiIiAaLSLSIiIiIiIhIgKt0iIiIiIiIiAaLSLSIiIiIiIhIgKt0iIiIiIiIiAaLSLSIiIiIiIhIgKt0iIiIiIiIiAaLSLSIiIiIiIhIgKt0iIiIiIiIiAaLSLSIiIiIiIhIgKt0iIiIiIiLiFwUhDg44o8yOEVRUukVERERERKTOcm2hjOxzCyP63kaGI8LsOEFDpVtERERERETqJMcexg19buGH2DYccEaxL6yJ2ZGChs3sACIiIiIiIlJ/ZTnCub7PrWyMaUFTVwFvr3ydbrl7zY4VNFS6RUREREREpFYOOiO5vs+tbI5uTrwrj1krXqdT3j6zYwUVlW4RERERERE5bvud0Yzoeytbo5qRWJzD7BX/pkP+QbNjBR2VbhERERERETkue0NjGNH3NnZEJpBceIjZK/9Nm4JMs2MFJZVuERERERERqbFd4U35c5+x7I6IpWVBFu+umEpK0SGzYwUtlW4RERERERGpke0R8YzoexvpYU1ok3+Q2Sv+TXJxjtmxgppKt4iIiIiIiBzTlshERvS9lQOhMbTP28/sFa/TzJVrdqygp9ItIiIiIiIiR/VLVBLX972VDGcUJ+emM2vl6yS48s2OVS+odIuIiIiIiEi1NkQnc0OfWznkjKBLzh5mrXydWHeh2bHqDZVuERERERERqdKPTVIYedbN5DrC6XEojZnfvkGMp8jsWPWKSreIiIiIiIhUsjq2DaPPvIl8eyi9snYw49s3iCpxmR2r3lHpFhERERERkQpWxrXjpjPHUGhzclbGFt78bjoRXrfZseollW4REREREREptyzhJG45fTTFNgf9DvzK69/PIMzrMTtWvaXSLSIiIiIiIgB83bI7t51xI+4QOwP3b2LK9zMJ9ZWYHates5od4GimTJlC9+7diY6OJjo6mj59+vC///3vqI9ZsmQJvXr1IjQ0lHbt2jF16tQTlFZERERERKT+WnjSWdx6/l24Q+wMSd/A1O/fUuH2g6Au3S1btuTpp59m9erVrF69mvPOO49LL72Un3/+ucr5t2/fzoUXXki/fv1Yu3YtDz30EOPGjWPOnDknOLmIiIiIiEj98VlKT+649EE8ITYu2vMjr61+G6fPa3asBiGoh5cPHz68wu0nnniCKVOm8O2339K1a9dK80+dOpVWrVoxadIkADp37szq1at5/vnnufLKK09EZBERERERkXplXkJX7u1wET6rlcu3rOC5TR9jM3xmx2owgvpI95G8Xi/vvfceBQUF9OnTp8p5Vq5cyZAhQypMGzp0KKtXr8bj0Qf/RUREREREjvRBYnfGn3QxPquVq39axPPL3lDh9rOgPtINsH79evr06UNxcTGRkZHMmzePLl26VDnvvn37aNasWYVpzZo1o6SkhIyMDJo3b17l41wuFy7X79eby83NBcDj8QR1WS/LFswZRarT4PZfnw9CQ8HpBIfD7DSlOcLCgiNPA8ziOfxYT12eTwPcLn7P43CAzeS3Kg5Hg8viOfxYT12eTwPcLn7NUvb/gdlCQ4Mnjx+yeA4/zlPX5xKM28Wk19/ZCd15pM0gAEZs+4ZHFr+BLz4On9nbBcDrBY8HDKP0axCq6ftYi2EYRoCz1Inb7SYtLY3s7GzmzJnDG2+8wZIlS6os3h07duTGG29kwoQJ5dO++eYbzjnnHNLT00lKSqpyHY8++igTJ06sNH327NmEh4f778mIiIiIiIgEgcXpFubtCAGgf5KPy9v4sFhMDlXPFBYWMmLECHJycoiOjq52vqAv3X80aNAg2rdvz7///e9K95177rn07NmTl156qXzavHnzuPrqqyksLMRut1e5zKqOdKekpJCRkXHUjWc2j8dDamoqgwcPrva5iQSrBrf/rloFY8ZATAxERZmdBvbtg507oVUrqGaUj7LUPovH4SB17FgGT52K3e02NYtfBFMWgAMHSvP06FGayUzp6bBuHXTvDsnJDSKLx2Yj9YorGDx3LvaSWp6VuAFuF7/Ytg3Wr4f4eGja1NwsAAcPQlYWxMWVZqrnWTxOJ6kTJjD4qaewH/He3YwsfpOZCRkZpa91LVqcsNW+ntSb51LOBeDW9FXct3s5lj17IC2tdJvExZ2wLNUqLIS8PJgxAwYONDtNlXJzc4mPjz9m6Q764eV/ZBhGhYJ8pD59+vDpp59WmLZo0SJ69+591Df1TqcTZxVDKOx2e70oA/Ulp0hVGsz+a7VCcXFwDFUDcLmgqKj0a21LobIck93trn3pbsDbxW953G6obSn0F7e7wWaxl5TUvnQ34O3ilyzFxaX7sdmKi4Mnjx+z2F2uupXuYNwuJ/D19+WWfXnxcOEel7ace3YtxwK/v/YGw3aB0hzFxWCxQJC+V6zpe9igPpHaQw89xLJly9ixYwfr16/n4YcfZvHixVx33XUATJgwgZEjR5bPP3bsWHbu3Mn48ePZtGkT06ZN48033+S+++4z6ymIiIiIiIiYzgCeb9WPF1uXFu77di5hfFnhloAK6iPd+/fv54YbbiA9PZ2YmBi6d+/OggULGDx4MADp6emkpaWVz9+2bVvmz5/PPffcw2uvvUZycjIvv/yyLhcmIiIiIiKNlgE81WYgr7c4E4CHt3/FLXtXmRuqEQnq0v3mm28e9f4ZM2ZUmta/f3/WrFkToEQiIiIiIiL1hwFMbDuIGcm9AZi4dRGj9qkvnUhBXbpFRERERESkdnzAw+2H8m5STyyGwRNbFzBi/zqzYzU6Kt0iIiIiIiINjBcLf+0wjP82647FMHh2y3z+dGC92bEaJZVuERERERGRBqQEC/d2vJiPE7oSYvh48dfPuDRjo9mxGi2VbhERERERkQbCY7Hyfx0vYX58J2w+L6/8+gnDMjebHatRU+kWERERERFpAFyWEO44+TK+iDsJh6+Eyb98xKBDW8yO1eipdIuIiIiIiNRzxVYbt3W6nCVN2+P0evj3L3MZkL3d7FiCSreIiIiIiEi9Vmi1c0vnK/mmSRtCvR7e3PRfzs7ZaXYsOUylW0REREREpB4ygO+iU3i2dX/WRLckwuti2sb/cmbuLrOjyRFUukVEREREROqRIquNjxK68lbzXvwSkQhAVEkxMzZ+QK+8vSankz9S6RYREREREakHdjljmJXUk/ea9SDHHgZAqNfD5Qc3cOueVbQtPmRyQqmKSreIiIiIiEiQMoAVMa2Z0bwXX8Z2wGexApBSnM3I9DVcvX8dMV6XuSHlqFS6RUREREREgkyB1c7cxG7MbH4av4UnlE/vd2g7o9J/YOChrYRgmJhQakqlW0REREREJEjsDG3CzKTT+KBZd/JsoQCEe91ceWA9o9LX0KEo0+SEcrxUukVEREREREzkw8KyJm15q3kvvm7aHsNiAaBNURYj09dw1YH1RGsIeb2l0i0iIiIiImKCPHsoc067mJlnXs626Gbl0wdkbWVU+g/0z96G1cR84h8q3SIiIiIiIifQ1ogEZrbty5yWvch3lJ6FPLLExVUH1jMy/Qfa6SzkDYpKt4iIiIiISID5sLA48WRmtDuHpYknl09vn7mLUTtWcoVnN5Fet4kJJVBUukVERERERAIkxxbKh61O5+22fdkZEQ+AxfBx/v5NjPpxPuesW4KlTRto2dLcoBIwKt0iIiIiIiJ+9ltkIjPancO8lqdRaHMCEOUp4pq0VYzcvoJWhVmQkWFySjkRVLpFRERERET8wIuFL5O68Fbbs/km4aTy6R1z9zFq+zdcvvsHwr0eExOKGVS6RURERERE6iDbHsb7rc7g7TZ92R0RC4DV8DF438+M2vYNfTK3YjE5o5hHpVtERERERKQWNkU35622Z/NRi54U2xwANHEXcM3OVdywYwUti7LNDShBQaVbRERERETkOOTYQrnj9BtYntCxfFrnnL2M3r6cS3evJdRXYmI6CTYq3SIiIiIiIsfhrXbnsDyhIyE+Lxekb2DU9m84PWu7hpBLlVS6RUREREREjsOC5t0AeOKnuVybtsrkNBLsrGYHEBERERERqS/SwmPZGNOCEJ+XIfs2mB1H6gGVbhERERERkRpa0PwUAM7M3Easu9DkNFIfqHSLiIiIiIjUUNnQ8gvSdZRbakalW0REREREpAb2O6NZE9sGQEPLpcZUukVERERERGpgUfOuAJyWtYOk4lyT00h9odItIiIiIiJSA/87/HluDS2X46HSLSIiIiIicgxZjnC+i2sHwFCVbjkOKt0iIiIiIiLH8EWzLnitIXTO2Uvrwkyz40g9otItIiIiIiJyDAvLh5avNzmJ1Dcq3SIiIiIiIkeRH+JkWUJHAIapdMtxUukWERERERE5iq+adcIdYqNd/gFOyttvdhypZ1S6RUREREREjqJsaPnQ9A1YTM4i9Y9Kt4iIiIiISDWKrTa+btYJ0Oe5pXZUukVERERERKqxLKEjhTYnyYWH6J692+w4Ug+pdIuIiIiIiFTjf8kaWi51o9ItIiIiIiJSBY/FyhfNugAaWi61F9Sl+6mnnuL0008nKiqKxMRELrvsMjZv3nzUxyxevBiLxVLp3y+//HKCUouIiIiISEPwbXx7ch3hxLny6Z21w+w4Uk8FdelesmQJd9xxB99++y2pqamUlJQwZMgQCgoKjvnYzZs3k56eXv7vpJNOOgGJRURERESkoVhw+KzlQ9I3EIJhchqpr2xmBziaBQsWVLg9ffp0EhMT+eGHHzj33HOP+tjExESaNGkSwHQiIiIiItJQebGwMKkboKHlUjdBXbr/KCcnB4DY2NhjztuzZ0+Ki4vp0qULf/vb3xg4cGC187pcLlwuV/nt3NxcADweDx6Pp46pA6csWzBnFKlOg9t/fT4IDQWnExwOs9OU5ggLC448DTCL5/BjPXV5Pg1wu/g9j8MBNpPfqjgcDS6L5/BjPXV5Pg1wu/g1S9n/B2YLDQ2ePH7I4jn8OE9dn0sNs6xu0pqM0CiiPEX0zttd9/UeLUswvP6WvfYGw/4C4PWCxwOGUfo1CNX0fazFMIx6MU7CMAwuvfRSDh06xLJly6qdb/PmzSxdupRevXrhcrl4++23mTp1KosXL6726Pijjz7KxIkTK02fPXs24eHhfnsOIiIiIiJSP8zbYWVxupXe8T5uOMlndhwJQoWFhYwYMYKcnByio6Orna/elO477riDzz//nOXLl9OyZcvjeuzw4cOxWCx88sknVd5f1ZHulJQUMjIyjrrxzObxeEhNTWXw4MHY7Xaz44gclwa3/65aBWPGQEwMREWZnQb27YOdO6FVK2jeXFn8nMXjcJA6diyDp07F7nabmsUvgikLwIEDpXl69CjNZKb0dFi3Drp3h+TkBpHFY7OResUVDJ47F3tJialZ/CKYsmzbBuvXQ3w8NG1qbhaAgwchKwvi4koz1fMsHqeT1AkTGPzUU9iPeO8eiCwGMPDce9kT1pTX1r7DkAObar++o8nMhIyM0te6Fi0Cs46a2rMH0tJKt0lcnLlZAAoLIS8PZsyAo4xaNlNubi7x8fHHLN31Ynj5XXfdxSeffMLSpUuPu3ADnHXWWcyaNava+51OJ84qhlDY7fZ6UQbqS06RqjSY/ddqheLi4BmS5XJBUVHp19qWQmU5JrvbXfvS3YC3i9/yuN1Q21LoL253g81iLympfeluwNvFL1mKi0v3Y7MVFwdPHj9msbtcdSvdNciyIaYFe8KaElbi5ry9P2P3Bmh4c1mWYHj9LXvtDYb9BUpzFBeDxQJB+l6xpu9hg7p0G4bBXXfdxbx581i8eDFt27at1XLWrl1L82D4y72IiIiIiAS9Bc1LT6A24MAvhAWqcEujEdSl+4477mD27Nl8/PHHREVFsW/fPgBiYmIICwsDYMKECezZs4eZM2cCMGnSJNq0aUPXrl1xu93MmjWLOXPmMGfOHNOeh4iIiIiI1B//O3ypMJ21XPwhqEv3lClTABgwYECF6dOnT2f06NEApKenk5aWVn6f2+3mvvvuY8+ePYSFhdG1a1c+//xzLrzwwhMVW0RERERE6qktkYlsjWqG3VfCwP2/mB1HGoCgLt01OcfbjBkzKtx+4IEHeOCBBwKUSEREREREGrKyoeVnH/yN6JJik9NIQ2A1O4CIiIiIiEiwWHB4aPkwDS0XP1HpFhERERERAXaFN2VDk5ZYDR+D9m00O440ECrdIiIiIiJSpf3OaL5o1pljf+izYViYVHqU+4zMbcS5C0xOIw2FSreIiIiIiFRiADefOZqbzxzDvJanmR3nhCj7PPcF6RtMTiINiUq3iIiIiIhUsjK+PeubpADw7w4DGvzR7gPOKH6IbQ3AUJVu8SOVbhERERERqeSNdueWf785ujlLEk42MU3gLUrqimGxcmrWTpoX55gdRxoQlW4REREREalgS2QiXyV1wWL4GHL4qO/rHfqbnCqwFiSXfp77gn06yi3+pdItIiIiIiIVvNmuHwCD9m3k0fUfYfN5WZFwEhtiWpicLDCy7WGsjGsPaGi5+J9Kt4iIiIiIlMt0RDA3pRcAt2xdSnJxDhfvXQfA6+0b5tHuL5K64LWG0Ck3nbYFGWbHkQZGpVtERERERMrNatMHV4id7od2cXrWdgBu3bIYgM+Tu7M7rIl54QJkweFLhV2wd73JSaQhUukWEREREREAiq023m7bF4Cbty7Bcnh6l9x0+h34Fa81hGmHh543FPkhTpYmdgTggnSVbvE/lW4REREREQHg45Y9yXBGkVx4iGF/KKC3bF0CwHutzyTHHmZGvIBY3Oxk3CF22uQf5OS8fWbHkQZIpVtERERERDD4/TJhN25fjt3wVbi/38Ff6ZSzl0Kbk1mtzzIhYWAsaF46tHxo+obyI/si/qTSLSIiIiIiLEk4md+ik4j0FHPNzlWV7rcAtx4+2j2j3Tm4rCEnOKH/FVttfN2sE0ClI/si/qLSLSIiIiIivNGh9Cj3NWmriC4prnKe4Xt+pHlRNgdDo/m4xWknMl5AfJNwEgW2UJoXZdM9e7fZcaSBUukWEREREWnkNkU3Z3lCR6yGj9Hbllc7n93wMWbbMgBe79AfXz0fkP2/I4aWWzFMTiMNlUq3iIiIiEgjV/ZZ7mF7fyKl6NBR571253dEeYrYEtWMxYknn4h4AeGxhPBFUhcAhmpouQSQSreIiIiISCN2wBnFJy1PBeDmrUuPOX9UiYsRO78D4N8dBgQwWWCtSupItiOCWFc+p2ftMDuONGAq3SIiIiIijdhbbc/GY7XRO3M7PbN31egxo7ctx+bz8l18e9Y1aRnghIGxoE1vAIbs+xnbH87ULuJPKt0iIiIiIo1UYYidd9qUXv7r5m3HPspdpnlxDpfsWQvA6+37ByRbIPmwsLB16YngNLRcAk2lW0RERESkkZqT0ptsRwStCjIZnP7zcT32lsND0f+X3J208NhAxAuYtS1O5kBEU6I8RfTN2GJ2HGngVLpFRERERBohHxbebNcPgDHblhFynGfv7pybzrkHNuOzWJl2eDn1xYKOfQE4b/8mnD6vyWmkoVPpFhERERFphL5I6sKOyASi3YX8Ke37Wi3jti2LAXi/1Rkcsof7MV3gGPxeuodpaLmcACrdIiIiIiKN0BuHj06P2PktEV53rZbRN2MLXXL2UGRzlH82PNhtjG3FriZJhJa4OPfAZrPjSCOg0i0iIiIi0sj8FNOSVfHtsfm8jN7+Ta2XY+H3o90z2p5DsdXmn4ABtKBt6VnL++9eT7jXY3IaaQxUukVEREREGpk32p8LwPA9P5JUnFunZV249yeSCw+RERrFvJan+SNeQJVdKuyCHT+YnEQaC5VuEREREZFGZE9YEz5P7g7ATVtrfpmw6tgNH2O2LQPgP+3748NS52UGypbIBH5r2gK718N5u9aZHUcaCZVuEREREZFG5K22Z+O1htDn4Ba65e71yzKv3bmKKE8R26IS+bJZZ78sMxAWJnUDoO/OdcS4C01OI41FQD50kZOTQ2pqKjt27MBisdC2bVsGDRpEdHR0IFYnIiIiIiI1kGdz8m7rMwG4ZesSvy030uviuh0rmXrSefynQ38G79/ot2X708LmpwBwwa8rTU4ijYnfS/esWbO48847yc2t+NmQmJgYpk6dyjXXXOPvVYqIiIiISA180Op08uxhtMs7wAA/n7n7xm3f8Gb7c1kV1461TVLomb3Lr8uvq91hTfipaQoWw8fg376FcLvZkaSR8Ovw8jVr1nDjjTdy2WWXsXbtWoqKiigsLGT16tUMHz6cG264gXXr9NkJEREREZETrcRiZdrhy4TdvG0pVgy/Lr+ZK5dLd68F4PUOA/y6bH9Y2Lx0aPnp+34lvjDH5DTSmPi1dL/yyitcdtllzJgxgx49euB0OgkNDeW0005j5syZXHLJJbz00kv+XKWIiIiIiNTAwqRu7AmPJdaVzxW7AnPm7lsPD1lf0LwbO8PjArKO2iobWj5sx2qTk0hj49fS/c0333DbbbdVe//YsWNZvny5P1cpIiIiIiLHYAD/OXyZsOt3rCTUVxKQ9XTM28/A/ZswLNbyy5IFg4POSL6PbQPAUF0qTE4wv5buvXv30rFjx2rv79ixI3v27PHnKkVERERE5BjWNG3Nj7GtcXg93LBjRUDXdcuW0qPdH6b0JssRHtB11dSipG4YFis9DqWRXJBldhxpZPxaugsLCwkNDa32fqfTSXFxsT9XKSIiIiIix/Cf9v0BuHz3GhJc+QFdV5/MrZySvYtim4O32/QN6LpqasHhz3MPTd9gchJpjPx+9vKFCxcSExNT5X3Z2dn+Xp2IiIiIiBzFzqgEFjbvCsBN25YFfH0WSo92j+t9PTPbns1tWxZT/WG5wMuxh7EyvgMAF6SvNzGJNFZ+L92jRo066v0Wi8XfqxQRERERkWpM7zoEw2Kl//5f6Ji3/4Ss88L09TxbkMXuiFjmpPTmun2fnJD1VuXLZp0psYZwcm467QoyTMshjZdfh5f7fL5j/vN6vf5cpYiIiIiIVCPHGcEHHX+/TNiJYjN83HR4fW+0PxeviQfeFhw+a7mGlotZ/Fq6RUREREQkeMw+9QIK7aF0yk3nnIO/ndB1X532PTHuQrZHJvBFq54ndN1lCkIcLEk8GdDQcjGPX0v3li1b+OGHiqfg//LLLxk4cCBnnHEGTz75pD9XJyIiIiIi1XBbQ5jR6xIAbtq6lBN9rDnC6+b6HSsBeL37hSd47aWWJJ6MK8ROq4JMOuemm5JBxK+l+/777+ejjz4qv719+3aGDx+Ow+GgT58+PPXUU0yaNKnGy3vqqac4/fTTiYqKIjExkcsuu4zNmzcf83FLliyhV69ehIaG0q5dO6ZOnVqLZyMiIiIiUn993u5M9kfFkVCYzSV71pqSYdT2b3B4S/ih2Un80KLTCV9/2dDyYenrT/gfHUTK+LV0r169mgsv/P2vWO+88w4dO3Zk4cKFvPTSS0yaNIkZM2bUeHlLlizhjjvu4NtvvyU1NZWSkhKGDBlCQUFBtY/Zvn07F154If369WPt2rU89NBDjBs3jjlz5tTlqYmIiIiI1BsG8Ea3oQCM2vglTp8551VKdOVx+e7SkbCvn37FCV23yxrCV806AzBUQ8vFRH49e3lGRgYtW7Ysv/31118zfPjw8tsDBgzg3nvvrfHyFixYUOH29OnTSUxM5IcffuDcc8+t8jFTp06lVatW5UfUO3fuzOrVq3n++ee58sorj+PZiIiIiIjUTyvj2vNzfBtCPcVc98tXEB1uWpZbti7l/dZnsqjjWWz76WPa4Tsh6/0m/iTy7aE0K8rh1EO7Tsg6Rari19IdGxtLeno6KSkp+Hw+Vq9ezT333FN+v9vtxjCMWi8/JyenfD3VWblyJUOGDKkwbejQobz55pt4PB7sdnulx7hcLlwuV/nt3NxcADweDx6Pp9Z5A60sWzBnFKlOg9t/fT4IDQWnExwOs9OU5ggLC448DTCL5/BjPXV5Pg1wu/g9j8MBNr9f3fT4OBwNLovn8GM9dXk+DXC7+DVL2f8HJvrPSQMAuGLTEiItXjwm5mntyWHg7p/4umV3/tPjQh7bnlqr5ZQ9h5o+l/ktTwVg8MFNeJ0Oyo/1h4YGzc+pPEswvP6WvfYGw3YB8HrB4wHDKP0ahGr6PtZi1KUF/8GIESPIy8tj8uTJfPjhhzzyyCPs27ePiIgIAObMmcNjjz3GunXrjnvZhmFw6aWXcujQIZYtW1btfB07dmT06NE89NBD5dNWrFjB2Wefzd69e2nevHmlxzz66KNMnDix0vTZs2cTHm7eXwVFRERERI7X/iJ48kcbFgweOtVLYpjZiWBLLrzysw27xeCRXl6iKh8H8yuvAX9fHUJBiYU7u3g5KcZvlUekXGFhISNGjCAnJ4fo6Ohq5/PrnwOfeOIJBg8eTJs2bbBarbz88svlhRvg7bff5rzzzqvVsu+8805++uknli9ffsx5LX+4DmDZ3xX+OL3MhAkTGD9+fPnt3NxcUlJSGDJkyFE3ntk8Hg+pqakMHjy4yiP4IsGswe2/q1bBmDEQEwNRUWangX37YOdOaNUKqvhjo7LULYvH4SB17FgGT52K3e02NYtfBFMWgAMHSvP06FGayUzp6bBuHXTvDsnJDSKLx2Yj9YorGDx3LvaSElOz+EUwZdm2Ddavh/h4aNrUtBh/73IJpJzBebvWMfrlJyAurjSTiYyDB1ky6H5+SurAvveWcs3Wr457GR6nk9QJExj81FPYjxilWpVvY9tScPpNNHUXcMekZ7AZRwxpP3gQsrKCYruQmQkZGaWvdS1amJtlzx5ISyvdJnFx5mYBKCyEvDyYMQMGDjQ7TZXKRkgfi19Ld9u2bdm0aRMbN24kISGB5D+88E2cOLHCZ75r6q677uKTTz5h6dKlx3x8UlIS+/btqzDtwIED2Gw24qrZeZxOJ84qhlDY7fZ6UQbqS06RqjSY/ddqheLi4BmS5XJBUVHp19qWQmU5JrvbXfvS3YC3i9/yuN1Q21LoL253g81iLympfeluwNvFL1mKi0v3YxNkOiKYl1x6Texb183HbnKecsXF3Pbth9xx2QTeSTmTOzZ/QZi3dkOG7S7XMUv3F3Gl1+YenP4zYcVFlbKY/XOqlCUYXn/LXnuDYbtAaY7iYrBYIEjfK9b0Paxfz15etuIePXpUKtwAPXr0qLb4VsUwDO68807mzp3LV199Rdu2bY/5mD59+pCaWvFzIosWLaJ3794N4429iIiIiEg13mnTB1eInVOyd3HGvmNfavdEGvrrSlJyD3DIGcF/U3oHbD0+LOWXCrtAZy2XIODXI91jxoypcnpMTAwnn3wy119/PZGRkTVe3h133MHs2bP5+OOPiYqKKj+CHRMTQ1hY6YdTJkyYwJ49e5g5cyYAY8eO5dVXX2X8+PHccsstrFy5kjfffJN33323js9ORERERCR4FVttzGzbF4Cbty4NuutS2wwfN29YyCN9b+CN9ucyYse3hOD/z1r/2DSF/WExRHqKOTvjN78vX+R4+fVI96FDh6r89+OPP/KPf/yDk08+mW3bttV4eVOmTCEnJ4cBAwbQvHnz8n/vv/9++Tzp6emkpaWV327bti3z589n8eLFnHrqqfzzn//k5Zdf1uXCRERERKRB+6RFTzKcUTQvyubCvT+ZHadKf/ptGU3cBeyMiGdR824BWcfCw0e5z9u/ybTrk4scya9HuufNm1ftfUVFRYwcOZIHH3yQDz74oEbLq8mJ1WfMmFFpWv/+/VmzZk2N1iEiIiIiUt8ZwBvtzwXgxm3LsRsn5lrYxyu8xM0N21fyysmD+Hf7/lyQvt6vR+QNYMHhMq+h5RIs/P6Z7uqEhYXx17/+lW+//fZErVJEREREpFFYmtCRX6OTiCgp5pqd35kd56hG7vgGh9fDj7GtWR3bxq/L3hTdnJ0R8Ti9HvofCK7PtEvjdcJKN0BsbCzZ2dkncpUiIiIiIg3eG+37A3DNzlXElBSbnOboElz5XLnrBwD+3X6AX5dddgK1cw9sJsIbBFdjEOEEl+4VK1bQvn37E7lKEREREZEG7ZeoJJYldsRq+Lhx+3Kz49TIzVuXYjF8fNG8K1siE/y23IWHh5YP09ByCSJ+/Uz3Tz9VfcKGnJwcvv/+e5588kkef/xxf65SRERERKRRK/ss97C960kpPGRympppX3CQQfs2ktq8G2+2O5enfppT52Vui4hnc3RzbD4v5+/f5IeUIv7h19J96qmnYrFYqjwBWkJCAn/9618ZO3asP1cpIiIiItJoHXBG8XHLngDctG2pyWmOz61bl5DavBtzUnoxfvNCElz5dVpe2VHuPhlbiPEU+SOiiF/4tXRv3769yukxMTE0adLEn6sSEREREWn0Zrbti8dqo1fWDk47lHbsBwSR3lk76Jm1k7WxrZnZ5mzu3bywTssr+zz3Bekb/BFPxG/8Wrpbt27tz8WJiIiIiEg1ikLszGrTByj9jHR9Y6H0aPdfYkfydts+/GXLV4R7PbVa1p6wJqxr2gqL4WPwvp/9G1Skjk7oidRERERERMQ//pvSm2xHBCkFmQypp0d3h6RvoE3+QbIdEXzQ6oxaL2dRUlcATs/aQaIrz1/xRPxCpVtEREREpJ7xYWFau34AjNm2jBAqn1OpPgjB4KZtywB4s10/Siy1qydlQ8uH6qzlEoRUukVERERE6pkvm3Vme2QC0e5Crk773uw4dXLVrtXEuvLZFRHHgsMnQzseGY4Ivo9rC8DQenrEXxo2lW4RERERkXqm7DJhI3Z+S4TXbXKaugnzerhhxwoA/tO+/3Efs09N6orPYuWU7F20LMr2ez6RugpY6c7OzuaNN95gwoQJZGVlAbBmzRr27NkTqFWKiIiIiDR462Na8F18e2w+L6O2rzA7jl+M3L4Cp9fDuqat+C6u3XE9tvys5Xs1tFyCU0BK908//UTHjh155plneP7558nOzgZg3rx5TJgwIRCrFBERERFpFMqOcg/f8yPNi3NMTuMfce4Crtq1GoDX2/ev8eNybKGsSOgA6FJhErwCUrrHjx/P6NGj+e233wgNDS2fPmzYMJYurX+XMxARERERCQZ7Q2P4LLkHADfVw8uEHc3NW5diMXx8ldSF3yITa/SYr5t1xmO1cVLuPtoXHAxwQpHaCUjp/v7777ntttsqTW/RogX79u0LxCpFRERERBq8t9qdg9caQp+DW+iWu9fsOH7VtiCDIYevsf2fGh7t/l/y4aHlOsotQSwgpTs0NJTc3NxK0zdv3kxCQkIgVikiIiIi0qDlhziZ3fpMAG7e1rCOcpe5dcsSAD5qeRoHnFFHnbcwxM6ShJMBXSpMgltASvell17KY489hsfjAcBisZCWlsaDDz7IlVdeGYhVioiIiIg0aB+0Op08exjt8g4wcP8vZscJiF6HdtIrawfuEBsz2p591HmXJp5Msc1BSkEmXRvYUX9pWAJSup9//nkOHjxIYmIiRUVF9O/fnw4dOhAVFcUTTzwRiFWKiIiIiDRYJRYr09r1A+CmbcuwHveFteqPW7csBmBWmz7khzirna/8rOXpG7CciGAitWQLxEKjo6NZvnw5X331FWvWrMHn83HaaacxaNCgQKxORERERKRBW5TUld0RsTR1FXDl4bN8N1SD922kbf5Btkcm8EGr0xmzfXmledyWEL5s1hmACzS0XIJcQEp3mfPOO4/zzjsvkKsQEREREWnwyk4sdsOOFYT6SkxOE1hWDG7eupSHe1zJm+37MXLHCmyGr8I83yR0IM8eRmJxDj0PpZmUVKRmAlK6H3vssaPe/49//CMQqxURERERaXB+aNqatbGtcXhLuGHHCrPjnBBX7lrNi52Gsic8lvnNT+GSvesq3L/w8NDyoek/N+ih9tIwBKR0z5s3r8Jtj8fD9u3bsdlstG/fXqVbRERERKSG3mh/LgCX7V5Dgivf5DQnRqivhJHbv+FfnYbyeocBDD+idHuxsCipK6Ch5VI/BKR0r127ttK03NxcRo8ezeWXXx6IVYqIiIiINDhp4bEsbN4NaLiXCavODTtWMKXDQDY0acnK+PacnrcbgNVNW5PljKSJu4AzMreZnFLk2AJy9vKqREdH89hjj/H3v//9RK1SRERERKRem9buHHwWK+ce2EzHvP1mxzmhYt2F/OnwSeNeP/yZdoCFzUqPcg/atxH7Hz7rLRKMTljpBsjOziYnJ+dErlJEREREpF7KsYXyQaszALhl6xKT05jj5q1LsRo+FjfrzK+RifgMWNSsC6Ch5VJ/BGR4+csvv1zhtmEYpKen8/bbb3PBBRcEYpUiIiIiIg3Ku23OotDmpFNuOucc/M3sOKZoXZjJBenrmZ/cgzfbnEObfNgfGkNESXGj3SZS/wSkdP/rX/+qcNtqtZKQkMCoUaOYMGFCIFYpIiIiItJgeCxWZrQ9G4Cbti7FYnIeM92yZQnzk3vwafPu9NhXOlB34P5fGvyl06ThCEjp3r59eyAWKyIiIiLSKHye3IN9YU1IKM7lkj2VT1LcmPTM3sUZmdtYFdeO1Rml0zS0XOqTE/qZbhEREREROTqD3y8TNmr7Nzh9XnMDBYFbtvz+mXaH18OA/ZtNTCNyfPx2pPuKK66o8bxz587112pFRERERBqUb+PasaFJS0JL3Fy341uz4wSF8/dvol3+AbZFJtIvcwuRXpfZkURqzG+lOyYmxl+LEhERERFplLxYmHzS+QBctWs1TT2FJicKDlYM/vbLfCb0G8Ut25eZHUfkuPitdE+fPt1fixIRERERaXQKQ+yMO+06liV2JMTnZcw2lcsj9cvcwkOneun1UZrZUUSOS0BOpCYiIiIiIjV30BnJzWfcyLqmrXB4PUxa8y7tCjLMjiUifhCw0v3f//6XDz74gLS0NNxud4X71qxZE6jVioiIiIjUK1sjEhh91k3sioijqauAN1ZNp9ehnWbHEhE/CcjZy19++WVuvPFGEhMTWbt2LWeccQZxcXFs27aNYcOGBWKVIiIiIiL1zqrYtlzR7052RcTRuiCDuctfVeEWaWACUronT57M66+/zquvvorD4eCBBx4gNTWVcePGkZOTE4hVioiIiIjUK58m9+D6PreS4winZ9ZO5i57lbYaUi7S4ASkdKelpdG3b18AwsLCyMvLA+CGG27g3XffDcQqRURERETqBQOY0mEAd/W+HneIjaHp63l3xVTi3AVmRxORAAhI6U5KSiIzMxOA1q1b8+23pdcX3L59O4ZhBGKVIiIiIiJBr8Ri5W/dr+CZLhcBMGbrUiZ//zahvhKTk4lIoATkRGrnnXcen376Kaeddho33XQT99xzD//9739ZvXo1V1xxRSBWKSIiIiIS1ApCHNzV6zq+SuqCxfDx9w2fMmb7crNjiUiA+bV0f/TRRwwfPpzXX38dn88HwNixY4mNjWX58uUMHz6csWPH+nOVIiIiIiJB74AzijFnjmFDk5Y4vR5e+mE2F+zbYHYsETkB/Dq8/KqrrqJFixZMmDCBrVu3lk+/+uqrefnllxk3bhwOh+O4lrl06VKGDx9OcnIyFouFjz766KjzL168GIvFUunfL7/8UpunJCIiIiJSJ79FJnJ5vzvZ0KQlsa583l0xVYVbpBHxa+lOS0vjrrvuYt68eXTp0oVzzjmH6dOnU1BQ+5NCFBQU0KNHD1599dXjetzmzZtJT08v/3fSSSfVOoOIiIiISG18G9eOK8+5gz3hsbTNP8jc5a9y2qE0s2OJyAnk19KdnJzMww8/zK+//spXX31F+/btGTduHM2bN+fmm29m5cqVx73MYcOG8fjjjx/3Z8ETExNJSkoq/xcSEnLc6xYRERERqa2PW5zKDX1uIdcRTq+sHcxZ/iptCjLNjiUiJ1hATqQG0L9/f/r3789rr73Ge++9x/Tp0znnnHPo1KkTP//8c6BWW65nz54UFxfTpUsX/va3vzFw4MBq53W5XLhcrvLbubm5AHg8HjweT8Cz1lZZtmDOKFKdBrf/+nwQGgpOJxznx2gCwumEsLDgyNMAs3gOP9ZTl+fTALeL3/M4HGAL2FuVmnE4GlwWz+HHeuryfBrgdvFnFiM0lH93GswLHYcAcMG+DTy3/r+EWrx4nM4Tlyc0tHTblP3/ZCY/ZCnbdnXehsG4XYLh9bfstTcYtguA1wseDxhG6dcgVNP3sRbjBFzDa+vWrUyfPp0pU6aQm5tb6zfZFouFefPmcdlll1U7z+bNm1m6dCm9evXC5XLx9ttvM3XqVBYvXsy5555b5WMeffRRJk6cWGn67NmzCQ8Pr1VWEREREWl8vAZ8uM3KygOlA0rPa+5jeGsfVovJwUTE7woLCxkxYgQ5OTlER0dXO1/ASndhYSEffvgh06ZNY/ny5bRr147Ro0czevRoWrRoUatl1qR0V2X48OFYLBY++eSTKu+v6kh3SkoKGRkZR914ZvN4PKSmpjJ48GDsdrvZcUSOS4Pbf1etgjFjICYGoqLMTgP79sHOndCqFTRvrix+zuJxOEgdO5bBU6did7tNzeIXwZQF4MCB0jw9epRmMlN6OqxbB927Q3Jyg8jisdlIveIKBs+di72klteGboDbxR/yd+7m7paDWdKmJ1bDx99++Zwb0r4zL9DBg5CVBXFxEB9vXg4/ZfE4naROmMDgp57CfsR7dzOy+E1mJmRklL7W1bIj+c2ePZCWVrpN4uLMzQJQWAh5eTBjBhxl1LKZcnNziY+PP2bp9vsYnG+++YZp06bx4YcfUlJSwhVXXMEXX3xx1OHdgXbWWWcxa9asau93Op04qxhCYbfb60UZqC85RarSYPZfqxWKi4NnSJbLBUVFpV9rWwqV5ZjsbnftS3cD3i5+y+N2Q21Lob+43Q02i72kpPaluwFvl9raHxLGmO7X83N0MqElLl75YTaD9280LQ9Q+v9SUVHp17qU1CDLYne56la6g3G7BMPrb9lrbzBsFyjNUVwMFgsE6XvFmr6H9Wvp7tixI1u3bqVnz54888wzjBgxgpiYGH+uolbWrl1L82D4y72IiIiINDi/2mMYnTSIvbYI4guyeePrVznVl2N2LBEJEn4t3RdccAE33XQTPXr08Nsy8/Pz2bJlS/nt7du38+OPPxIbG0urVq2YMGECe/bsYebMmQBMmjSJNm3a0LVrV9xuN7NmzWLOnDnMmTPHb5lERERERABWhCZxW+IA8kIctCs4yIx3HqKVwwexsWZHE5Eg4dfS/fLLL/tzcQCsXr26wtD08ePHAzBq1ChmzJhBeno6aWm/X+vQ7XZz3333sWfPHsLCwujatSuff/45F154od+ziYiIiEjjNS+iLQ8k9MVjCeH04v38Z9U0muTsh4QEs6OJSBAx+boKxzZgwACOdq63GTNmVLj9wAMP8MADDwQ4lYiIiIg0VgbwSpNTeLFpTwAuzt/O8xnfEFpSZG4wEQlKQV+6RURERESChQcLD8efxQdRJwFwW/YG/npoDVaTc4lI8FLpFhERERGpgTyLndsT+7MsPBmr4eOxzFVcn/er2bFEJMipdIuIiIiIHMO+kDBGNzufX5yxhPk8vHpgKecX7TE7lojUA34r3cdzErVx48b5a7UiIiIiIgH1i70JNyadT7otgviSIqbt/4ru7kyzY4lIPeG30v2vf/2rRvNZLBaVbhERERGpF5aHNucvzfqTZ3XQwZ3N9P1fklJSYHYsEalH/Fa6t2/f7q9FiYiIiIiY7sPI9kyI70OJxcqZRft4/cBiYnxus2OJSD2jz3SLiIiIiBzBAF5q0p1JTU8F4NL8bTx7cAVOfKbmEpH6KWCle/fu3XzyySekpaXhdlf8i+CLL74YqNWKiIiIiNSaGysPxZ/Ff6M6AHBH9k/ce+hHXRJMRGotIKX7yy+/5JJLLqFt27Zs3ryZbt26sWPHDgzD4LTTTgvEKkVERERE6iTXYuf2Zv1ZHpZMiOHjn5nfMSLvN7NjiUg9F5A/2k2YMIF7772XDRs2EBoaypw5c9i1axf9+/fnT3/6UyBWKSIiIiJSa+kh4VydfAHLw5IJ93l4Y/9XKtwi4hcBKd2bNm1i1KhRANhsNoqKioiMjOSxxx7jmWeeCcQqRURERERqJdvq4MrkYfziaEpiSSEfpC9kYNFes2OJSAMRkNIdERGBy+UCIDk5ma1bt5bfl5GREYhVioiIiIjUystNurPXFkEbTy7z9v6Pbu4ssyOJSAMSkM90n3XWWXzzzTd06dKFiy66iHvvvZf169czd+5czjrrrECsUkRERETkuG23RTEzuhMA/8z4jhZeXYNbRPwrIKX7xRdfJD8/H4BHH32U/Px83n//fTp06MC//vWvQKxSREREROS4PR17GiUWKwMLd9OvON3sOCLSAAWkdLdr1678+/DwcCZPnhyI1YiIiIiI1Nq3oc1YGNGaEMPHQ1k/mB1HRBqogHymu127dmRmZlaanp2dXaGQi4iIiIiYwQc8HtsbgBF5v3KSJ8fcQCLSYAWkdO/YsQOv11tpusvlYs+ePYFYpYiIiIhIjc2LbMcGZxxRPjd3H1pndhwRacD8Orz8k08+Kf9+4cKFxMTElN/2er18+eWXtGnTxp+rFBERERE5LkWWEJ5r2hOAO7LXE+dzmZxIRBoyv5buyy67DACLxVJ+ne4ydrudNm3a8MILL/hzlSIiIiIix+U/MV3YZ4ugpSeP0bmbzI4jIg2cX0u3z+cDoG3btnz//ffEx8f7c/EiIiIiInVyICSMqTHdAPjrobWEGj6TE4lIQxeQs5dv3749EIsVEREREamTF5qeSqHVTs/ig1xcsMPsOCLSCATkRGoAS5YsYfjw4XTo0IGTTjqJSy65hGXLlgVqdSIiIiIiR7XR0ZQPIjsA8Pes77GYnEdEGoeAlO5Zs2YxaNAgwsPDGTduHHfeeSdhYWGcf/75zJ49OxCrFBERERGplkHpJcIMi4Xh+ds5zZVhdiQRaSQCMrz8iSee4Nlnn+Wee+4pn/Z///d/vPjii/zzn/9kxIgRgVitiIiIiEiVvgprwYqw5jh8Xh44tMbsOCLSiATkSPe2bdsYPnx4pemXXHKJPu8tIiIiIieUBwtPxvYCYEzuJlJKCkxOJCKNSUBKd0pKCl9++WWl6V9++SUpKSmBWKWIiIiISJXejerIVkcT4rxF3J693uw4ItLI+HV4+ZgxY3jppZe49957GTduHD/++CN9+/bFYrGwfPlyZsyYwUsvveTPVYqIiIiIVCvHaudfTXsAcPehdUQbHpMTiUhj49fS/dZbb/H000/zl7/8haSkJF544QU++OADADp37sz777/PpZde6s9VioiIiIhU67WY7hwKCaWDO5s/5/1mdhwRaYT8WroNwyj//vLLL+fyyy/35+JFRERERGoszRbJjJhOADyctRobxjEeISLif37/TLfFoiseioiIiIj5nml6Gm5LCP0K9zKgaK/ZcUSkkfL7JcM6dux4zOKdlZXl79WKiIiIiJRb7Uzg88g2WA0fD2etRoeFRMQsfi/dEydOJCYmxt+LFRERERGpER/wz9jeAFyTt4VOnmxT84hI4+b30n3ttdeSmJjo78WKiIiIiNTIpxFtWBeaQITPwz3ZP5odR0QaOb9+pluf5xYRERERMxVbQng29jQA/pK9gURvscmJRKSx82vpPvLs5SIiIiIiJ9qb0Z3ZY4skuaSAm3M3mh1HRMS/w8t9Pp8/FyciIiIiUmMHraFMadINgAey1hBqeE1OJCISgEuGiYiIiIiY4V9Ne5BvddDDlcElBdvNjiMiAqh0i4iIiEgDsDk8gfeiTgLgb5mr9SZXRIKGXo9EREREpN57ou15+CxWhhXs5HTXAbPjiIiUU+kWERERkXptcetTWRrbHrvh5cGsH8yOIyJSQdCX7qVLlzJ8+HCSk5OxWCx89NFHx3zMkiVL6NWrF6GhobRr146pU6cGPqiIiIiInHAlWHjynBsAGJX7C61L8k1OJCJSUdCX7oKCAnr06MGrr75ao/m3b9/OhRdeSL9+/Vi7di0PPfQQ48aNY86cOQFOKiIiIiIn2vtJPfg1rhVNPIXclb3e7DgiIpX49ZJhgTBs2DCGDRtW4/mnTp1Kq1atmDRpEgCdO3dm9erVPP/881x55ZUBSikiIiIiJ1qexc6/Wp0LwN1py4mxuk1OJCJSWdAf6T5eK1euZMiQIRWmDR06lNWrV+PxeExKJSIiIiL+NqVJNzIcEbQ7tJfr0teYHUdEpEpBf6T7eO3bt49mzZpVmNasWTNKSkrIyMigefPmlR7jcrlwuVzlt3NzcwHweDxBXdTLsgVzRpHqNLj91+eD0FBwOsHhMDtNaY6wsODI0wCzeA4/1lOX59MAt4vf8zgcYDP5rYrD0eCyeA4/1lOX5xME22VPSDhvxHQB4IFV70MTW92ekz+UbZey/w/MFhoaPHn8kMVz+HGeuj6XYNwuwfD6W/baGwzbBcDrBY8HDKP0axCq6fvYBle6ASwWS4XbhmFUOb3MU089xcSJEytNX7RoEeHh4f4P6GepqalmRxCptQa1/z77rNkJ5ARLHTvW7AgitZZ6xRVmR6iTt3614s60clK0j+JH7mJ+1W/zpAFKnTDB7AhyIhUVwfz5ZqeoUmFhYY3ma3ClOykpiX379lWYduDAAWw2G3FxcVU+ZsKECYwfP778dm5uLikpKQwZMoTo6OiA5q0Lj8dDamoqgwcPxm63mx1H5Lg0uP131SoYMwZiYiAqyuw0sG8f7NwJrVpBFSN8lKVuWTwOB6ljxzJ46lTs7lp+hrQBbhe/OXCgNE+PHqWZzJSeDuvWQffukJzcILJ4bDZSr7iCwXPnYi8pMTVLbf3oiGNNs6FYDIPnVrxD1xdSg+NntG0brF8P8fHQtKm5WQAOHoSsLIiLK81Uz7N4nE5SJ0xg8FNPYT9ilKoZWfwmMxMyMkpf61q0MDfLnj2Qlla6TarpTSdUYSHk5cGMGTBwoNlpqlQ2QvpYGlzp7tOnD59++mmFaYsWLaJ3797VvrF3Op04qxhCYbfb60UZqC85RarSYPZfqxWKi4NnSJbLVfqXYZcLalsKleWY7G537Ut3A94ufsvjdkNtS6G/uN0NNou9pKT2pdvE7WIATyf0BODK/K2cmr07+H5GxcWl+7HZiouDJ48fs9hdrrqV7mDcLsHw+lv22hsM2wVKcxQXg8UCQfpesabvYYP+RGr5+fn8+OOP/Pjjj0DpJcF+/PFH0tLSgNKj1CNHjiyff+zYsezcuZPx48ezadMmpk2bxptvvsl9991nRnwRERER8aP54a35ITSRMJ+H+w6tNTuOiMgxBf2R7tWrVzPwiOEEZcPAR40axYwZM0hPTy8v4ABt27Zl/vz53HPPPbz22mskJyfz8ssv63JhIiIiIvWcCytPx54GwG05P5PkLTI5kYjIsQV96R4wYED5idCqMmPGjErT+vfvz5o1umyEiIiISEPyVnQndtmjaFZSyK05G82OIyJSI0E/vFxEREREJNPq5JWm3QG479Bawg2TP78tIlJDKt0iIiIiEvReatqDPKuDrq5MrszfanYcEZEaU+kWERERkaC2xR7NO1EdAXg4a7XewIpIvaLXLBEREREJak/F9sJrsTKoYBd9i/ebHUdE5LiodIuIiIhI0Foe2pwvw1OwGT4mHPrB7DgiIsdNpVtEREREgpIXC4/H9gLg+tzNtPfkmpxIROT4qXSLiIiISFCaE9meX5yxRHtd/F/2T2bHERGpFZVuEREREQk6BRYbzzU9FYBx2T/R1OcyN5CISC2pdIuIiIhI0Pl3TFcO2sJp7cnlhtzNZscREak1lW4RERERCSrpIeG8HtMVgAlZa3DiMzmRiEjtqXSLiIiISFB5rmlPiq02zijez9DCNLPjiIjUiUq3iIiIiASNnxxxzI1qD8DDmauxmJxHRKSuVLpFREREJCgYUH6JsMvzt9LDnWluIBERP1DpFhEREZGgsCg8hVVhSTh9JdyftdbsOCIifqHSLSIiIiKmc2PlqcNHuW/J3Uiyt9DkRCIi/qHSLSIiIiKmezv6ZHbYo4kvKWJs9gaz44iI+I1Kt4iIiIiYKtvq4OUm3QG479BaIo0SkxOJiPiPSreIiIiImOrlJt3JCXHSyX2IP+VvNTuOiIhfqXSLiIiIiGm22aKYGd0JKL1EWAiGyYlERPxLpVtERERETPN0bC9KLFYGFu6mX3G62XFERPxOpVtERERETPFtaDMWRbQixPDxUNYPZscREQkIlW4REREROeG8WHg8tjcAf877jZM8OSYnEhEJDJVuERERETlhDGBpWHOGJ1/EBmccUT43dx9aZ3YsEZGAsZkdQEREREQah/WOWJ6O7cU3Yc0BiPK5eSpjJfG+YpOTiYgEjkq3iIiIiATUTlskzzXtyWeRbQGwG15uyN3MndnrifW5TE4nIhJYKt0iIiIiEhAZ1lBeadKdd6I7UmKxYjEMLivYxvhD60gpyTc7nojICaHSLSIiIiJ+lW+x8UZMF/4T05UCqx2A/oV7eODQGrq6D5mcTkTkxFLpFhERERG/8GDhvaiOvNS0OxkhYQCc4spgQtYa+hbvMzmdiIg5VLpFREREpE4M4POI1jzftCc77NEAtPbkcv+htVxYsFOXyxGRRk2lW0RERERqbUVoM56O7cVPzngA4r1FjDv0E9fm/YYDn8npRETMp9ItIiIiIsdtY3xrnul6DUti2wMQ7vNwa87P3JyzkUijxOR0IvL/7N13fBR1/sfx9ybZbHqAhIRepXeQqjQhQVDEwuGdJyBgQVFUznLROxUb4qECJ8r5E4ioYDkEbKcE6ScoXVBAkNBCQiebQpJNdn5/hOwRk0AC2cxu8no+HnnAzHxn9j3LN0s+me98B56DohsAAACldtgvWK83H6ol17SWYfGRn+HUn+2/6sGzP6kmz9sGgCIougEAAHBJp31smlWtnd4Pa6Eci68k6cYTv+ixrD1qlJtmcjoA8FwU3QAAAChRpsVP88Jaana1tkrz8Zck9Tp7QH/95m21rxsu1atnckIA8GwU3QAAACgiVxZ9EnqVplfroON+QZKk1tmn9dczm9V73yZZju+X6nYyOSUAeD6KbgAAALgYkr4Nqq9Xq3fWfv9wSVI9R5oeO7NNN2Uk8vgvACgjim4AAABIkn60RWlKjS7aGlBTklQ9L0sPnf1Jf7b/KhuP/wKAy0LRDQAAUMXtsVbTP6p30vLg+pKkQKdDd6fu0j2pPyvMcJicDgC8G0U3AABAFXXUN0hvVO+oRSFN5LT4yNdw6va0vXrk7E+KyjtndjwAqBQougEAAKqYzFxpanhHzQ9poRyf/Md/Dc44qMfObFVTh93kdABQuXjFXBhvvfWWGjdurICAAHXp0kVr164tse2qVatksViKfO3evbsCEwMAAHiebPno/0Jb6fktvno3rLVyfHzV7VyKPjv6td4+vpqCGwDcwOOvdH/88cd65JFH9NZbb+maa67Rv/71Lw0ePFi//PKLGjRoUOJ+e/bsUVhYmGu5Zs2aFREXAADAI530CdD46H7aFBAl5UnNc87qr6c3q/+5JFnMDgcAlZjHX+l+/fXXNW7cON19991q1aqVpk+frvr16+vtt9++6H5RUVGqVauW68vX17eCEgMAAHiW3dZqGlZniDYFRCnUmaM7mubp82P/0XUU3ADgdh5ddOfk5Gjz5s2KjY0ttD42Nlbff//9Rfft1KmTateurQEDBmjlypXujAkAAOCxvgusq9vqDFaSNUQNHXZ9emyZukcZ8pVhdjQAqBI8enj5yZMnlZeXp+jo6ELro6OjlZKSUuw+tWvX1jvvvKMuXbooOztb77//vgYMGKBVq1apT58+xe6TnZ2t7Oxs17Ldnn8/k8PhkMPhuY/JKMjmyRmBklS6/ut0SgEBks0m+fubnSY/R2CgZ+SphFkc5/d1XMn5VML3pdzz+PtLfib/qOLv77VZDEnzQlrqlWqdZFgs6p51TP88tVYhPk7tkeS4kvPx4velQrIU/H9gtoAAz8lTDlkc5/dzXOm5eOL74gmfvwWfvZ7wvkhSXp7kcEiGkf+nByrtz7EWwzA89tecR48eVd26dfX999+rZ8+ervUvvfSS3n///VJPjjZ06FBZLBZ9/vnnxW5/7rnnNHny5CLrFyxYoKCgoMsLDwAAYJJcp/Rpoo82HM8f1NgzyqnhjZ3y8+gxjgDgXTIzM3XHHXcoNTW10Hxiv+fRV7ojIyPl6+tb5Kr28ePHi1z9vpgePXrogw8+KHF7XFycJk2a5Fq22+2qX7++YmNjL/rmmc3hcCghIUExMTGyWq1mxwHKpNL13x9/lMaOlcLDpdBQs9NIKSnSwYNSgwZS7dpkKecsDn9/JYwfr5jZs2XNyTE1S7nwpCySdPx4fp4OHfIzmSk5Wdq+XWrfXqpTxyuynPHx14MRvfVjQLR8DKf+enar7jq8R5bN+dsdfn5KuPVWxXz2may5uW7NUiE8Kcv+/dKOHVJkpFS9urlZJOnECen0aSkiIj+Tl2dx2GxKiItTzJQpsl4wStWMLOXm1Cnp5Mn8z7q6dc3NkpQkHTqU/55ERJibRZIyM6W0NCk+Xurf3+w0xSoYIX0pHl10+/v7q0uXLkpISNAtt9ziWp+QkKBhw4aV+jhbt25V7Yv8EGGz2WQrZgiF1Wr1imLAW3ICxak0/dfHR8rK8pwhWdnZ0rlz+X9eblFIlkuy5uRcftFdid+XcsuTkyNdblFYXnJyvCrLPmu4xkX110FrmEKcOZp5fK2uO5dUbFtrbu7lF91e9r5UeJasrPx+bLasLM/JU45ZrNnZV1Z0e+L74gmfvwWfvZ7wvkj5ObKyJItF8tCfFUv7M6xHF92SNGnSJI0cOVJXX321evbsqXfeeUeHDh3S+PHjJeVfpU5KStL8+fMlSdOnT1ejRo3Upk0b5eTk6IMPPtCiRYu0aNEiM08DAADArVYH1tGDUX2U5uOveo40zTm2Ui0cZ82OBQBVnscX3bfffrtOnTql559/XsnJyWrbtq2+/vprNWzYUJKUnJysQ4cOudrn5OToscceU1JSkgIDA9WmTRt99dVXGjJkiFmnAAAA4DaGpPfCWur5GlfLafFR16xjmn1slSKcHnClCgDg+UW3JD3wwAN64IEHit0WHx9faPmJJ57QE088UQGpAAAAzOWQRZMjuumDsBaSpNvS9unlkxtkk9PkZACAAl5RdAMAAKCwVB9/PRDVV/8NrC2LYejJM1t0X+rPspgdDABQCEU3AACAl0n0C9W46Ou03z9cQU6Hpp9Yp9jMw2bHAgAUg6IbAADAi3wf3lD31xmiVF+b6uRm6P+OrVCbnDNmxwIAlICiGwAAwEt82Hagnm37R+X6+Kpj1gm9c3ylovKyzI4FALgIim4AAAAPlyuLXmo8UPPqdpUkDUvfr6knv1eAwYRpAODpKLoBAAA8mN1i1UNRfbQ6qK4k6bEDqzTBOMSEaQDgJSi6AQAAPNQhvxCNjb5O+/yrKSDPode/nakhodlSvXpmRwMAlJKP2QEAAABQ1A8BURpWZ4j2+VdTdG6mPv3pAw3Zt8HsWACAMuJKNwAAgIf5JKSpno7sIYfFV+2yT+rdYysVnZFidiwAwGWg6AYAAPAQebJoavXOeqdaG0nSkIwDeu3EfxVo5JmcDABwuSi6AQAAPEC6xU+P1Oyt5cH1JUkTz2zXI2e3cy8gAHg5im4AAACTHfEL1t3R12m3f3X5O/P0j5P/1bCMA2bHAgCUA4puAAAAE2221dR90f100jdQkbnn9H/HV6pT9kmzYwEAyglFNwAAgEkWBzfWkzV7Kcfiq1bZpzXn2ArVycs0OxYAoBxRdAMAAFQwp6TXqnfUrGrtJUmxGYf0xol1CjZyzQ0GACh3FN0AAAAVKNPip0k1r9E3wQ0lSfef3aHHz2xlwjQAqKQougEAACpIsm+Q7o7ur59tEfI38jTl5Hrdlr7f7FgAADei6AYAAKgA2/wjdE90f53wC1JE3jn969gqXZ19wuxYAAA3o+gGAABwsy+CG+mxyF7K9vFTi5wzevfYCtXPzTA7FgCgAlB0AwAAlKMsi4/2Watpt3817fKvoV/8q2t9YG1J0nWZRzTj+FqFGg6TUwIAKgpFNwAAXibTx6ptobW1ObSedoTUUqQjQ93sh3W1/YjqZttlMTtgFWFIOuYbqF3+1bXLv4Z2+1fXbv9q+s0arjxL0WnR7k79WXGnt8hXRsWHBQCYhqIbAAAPd9Q/VJvC6mlLaF1tDqurX4KjixR1C2p1kiTVzrbravsRdbUf0dX2I2qReYIirxxk+fhpr38N7fKvoV3+1bT7fKF91tdWbPvwvGy1yjmjljln1DrnjDpkn1QLx9mKDQ0A8AgU3QAAeBCHxUe7gqO0ObSuq9BOtoUVaVc7264u9iPqmJ6sFP9QbQyrp5+Do5VsC9MXNVvri5qtJUmhuVnqYk9S17T8IrxDerICnDwLuiSGpKO+wdp9vrD+JeRq7W49UonV68hZzNVrX8OpJg67q8Au+LNWXiYjDgAAkii6AQAw1VlrkLZWb6JNofW0OayutofU1jlf/0JtfA2nWmccUxd7krqkHVEXe5Lq5KQVOVb+sPM62hhWT5tC62lLWB2l+QVoVY2mWlWjqSTJ6sxTu/RkdT1/NbxL2hFVr5Az9TyZFj/9ag13XbUuuIJtL+HqdY28LFdRXVBgX+U4qwDDWcHJAQDehKIbAIAKYkhKDKiefwW7dh9t6ldP+yIbFGkXlpulzvYkXZ12RJ3TktQhLVnBzktPvBXkdKhX6kH1Sj0oScqVRbuDo/KL8LB6+jGsvk74h2hLWD1tCaunf53fr1nLZF19YLu6Zp1QV9901ctOrVRXaQ1JR/yCzxfX1fPvvbZWV6I1TIal6Jn6GU5d5UjNL65PHFCr7d+rVa1Q1YyuXqneFwBAxaDoBgDATbJ8/PRTSC1tDq2rzWH1tDm0rs5Yg4q0a3zutLrYj6hLWpKuth9R03OnVHQgc9n5yVDbjGNqm3FMY5I3y5B02BaujWH1tTGsnjaG1dNvQZHaG15bezvU1sLz+9W68L7wtCNqmeHZ94XnyEenfW066RuoU74B+V8+ATpkDdEu/xra419NaT7+xe4bmXtOrRyFh4Y3zUmVTeevXiclSYe2SxGdpCo7JgAAcCUougEAKCfHrcHaHFZPm85PePZzcC05fHwLtfF35qpDWrI6p+zR1T9vUGffTEVEFr1n2x0skhpkp6rBiVTddmKnJOmUX6A25wZpkzVCG5t20o7qDZRiC9OXNVvry/P3hYfkZqtzWtL5IemH1dHN94U7ZZE9IEQngyJ0MiBap3zyC+mTBQX1BYX1Sd+AEoeDX8hq5OmqnFS1uqC4bplzRjWdWW47DwAAJIpuAAAui9OQdgVGanuNaNeV7MMB1Yq0i8xJ19UFQ8XtSWqbkSJ/wyklJ0uJiVKjRpIqpuguTkTuOcUm71dsYqJ0cJXO1Wug7SG1ten8lfAtoXWV5hegNdWbaE31JpLy7wtvm57impztavsR1cg9d9HXOefjp5PWYJ2yBp3/CtZJ198vWPYP0mm/IOX+7pcVl+JrOBWRl6WIvCxFOvP/jM7NdBXZTRypsnrw1XoAQOVF0Q0AqNQMSTkWX2X5+Ck7IEzZ4dHKCq2lrOBoZflY89f7+Cmr4MvXT9mW/L9n+1pd6y9sc9YapG0/+iq77ahCr2UxDLXMOK4uaUmuoeLedn90oDNXPeyH1cN+WJKUJ4t2B9fUptB654ek19cxW6i2htXV1rC6eqdud0nSVZkn1dV+RNUdmTrln19cnzxfTJ+yBinTt/jh3RcT5jinSCNHEeeLaFdR7Squz7mWw5w55TIkHwCA8kbRDQDwSIak4/4hSgyorgOB1XXUFq5zrsK3aLGc/fvi+YI2xU2WdcWcUnBetjrbj6rz+QK7Y/pRhebllP9rmchXhtpkHFebjOManbIlf1IyW7jrSvim0Hr6Nbim9gVFal9Q5EWP5e/MVc2cDEU4MhXhKPgzU5G/Xz56UDX27JR/x/bnRwIAAOC9KLoBAKYxJJ32C9SBwBpKDKiuxMAaOhBYXYkB+X9eztXRi7EYTgU4chRg5MompwKcuQpw5sr2uz8DnI4i2/73d4f8LYZO3hyjsXPeUkBOdrlm9HQWSfWzU1X/RKpuOfGzJOmsX4DrueLnfKyKvKCAjnBknC+qMxWcl1O6q/5ZqRLPEgcAVBIU3QAAt0u1BetA9QY6ENlciYHni+vzRbbdL6DE/XwMp+plpapx1mnVy0pV8Pli2JZ3/k8jVwF5/yuKA5wO2Zx5RYrmgsLZ/+gRWQruo65T57LPx+Hvr6+DYzx6Ru+KVC03SwPO/KYBZ34zOwoAAB6HohsAUC4yfaxKDKyuAwHVdSCwhvafv1p9oEu4TgWEXnTfOtmpanzujBqdO63GWWfU6NwZNc46rfpZZ/MnHQMAAPBSFN0AgFLLsvjqUED1/OL6/DDwgqvWx2wXL6xrnktV4xy7Gmedzi+uzxfWDbPOuvXxUwAAAGai6AaAKixXFmX6+ivT16p0X39l+vorw+d/yyetwfnFdWANJQbU0FFb2EUnJavuyDx/lfqMGp87rUZZp9X48F412rlJIXWjr2hINwAAgDei6AYAL5EnizJ9rcr09c8vkH2syjhfKKefL5zzC2Z/pUfmKLNptjKqRyozpJoyfP2VcX7fjIIvH6uyfa1lzhGam6VGBUPAXcPB8/+slptVdIezyZLj4s9wBgAAqKwougHAQ6T62vTXqwb/ryg+X1gXFNVZl1Egl5afM0/BeTkKduYoKM+R//e8HFXLzVLD81etG587o0ZZpxXpyPSq504DAACYiaIbADzIfyJbXrKNr+F0FcVBeTkKyTtfKDvzl4PzchRsP6ugkykKDg5UUEjg+TYF+zjyl53/W/Y38iikAQAA3ICiGwA8RHBejl747VtXIVxQWP/+6nOpCuTkZKkcHo0FAACAK0PRDQAewk+GRqZsNTsGAAAAypGP2QFK46233lLjxo0VEBCgLl26aO3atRdtv3r1anXp0kUBAQFq0qSJZs+eXUFJAQAAAAD4H48vuj/++GM98sgjevrpp7V161b17t1bgwcP1qFDh4ptn5iYqCFDhqh3797aunWrnnrqKU2cOFGLFi2q4OQAAAAAgKrO44vu119/XePGjdPdd9+tVq1aafr06apfv77efvvtYtvPnj1bDRo00PTp09WqVSvdfffdGjt2rKZNm1bByQEAAAAAVZ1HF905OTnavHmzYmNjC62PjY3V999/X+w+69evL9J+0KBB2rRpkxwOh9uyAgAAAADwex49kdrJkyeVl5en6OjoQuujo6OVkpJS7D4pKSnFts/NzdXJkydVu3btIvtkZ2crOzvbtWy32yVJDofDowv1gmyenBEoSaXrv06nFBAg2WySv7/ZafJzBAZ6Rp5KmMVxfl/HlZxPJXxfyj2Pv7/kZ/KPKv7+lS6L4/y+jis5n0r4vpRrloL/D8wWEOA5ecohi+P8fo4rPRdPfF884fO34LPXE94XScrLkxwOyTDy//RApf051qOL7gIWS+GH4xiGUWTdpdoXt77AlClTNHny5CLrly1bpqCgoLLGrXAJCQlmRwAuW6Xqv6++anYCVLCE8ePNjgBctoRbbzU7AnBZEuLizI6AinTunPT112anKFZmZmap2nl00R0ZGSlfX98iV7WPHz9e5Gp2gVq1ahXb3s/PTxEREcXuExcXp0mTJrmW7Xa76tevr9jYWIWFhV3hWbiPw+FQQkKCYmJiZLVazY4DlEml678//iiNHSuFh0uhoWankVJSpIMHpQYNpGJG+JDlyrI4/P2VMH68YmbPljUnx9Qs5cKTskjS8eP5eTp0yM9kpuRkaft2qX178595X05ZHH5+Srj1VsV89pmsubmmZikXnpRl/35pxw4pMlKqXt3cLJJ04oR0+rQUEZGfycuzOGw2JcTFKWbKFFkvGKVqRpZyc+qUdPJk/mdd3brmZklKkg4dyn9PSqibKlRmppSWJsXHS/37m52mWAUjpC/Fo4tuf39/denSRQkJCbrllltc6xMSEjRs2LBi9+nZs6e++OKLQuuWLVumq6++usQf7G02m2zFDKGwWq1eUQx4S06gOJWm//r4SFlZnjMkKzs7/zfD2dnS5RaFZLkka07O5Rfdlfh9Kbc8OTnS5RaF5SUnp9JmsebmXn7RXYnfl3LJkpWV34/NlpXlOXnKMYs1O/vKim5PfF884fO34LPXE94XKT9HVpZksUge+rNiaX+G9eiJ1CRp0qRJevfddzV37lzt2rVLjz76qA4dOqTx54f0xcXFadSoUa7248eP18GDBzVp0iTt2rVLc+fO1Zw5c/TYY4+ZdQoAAAAAgCrKo690S9Ltt9+uU6dO6fnnn1dycrLatm2rr7/+Wg0bNpQkJScnF3pmd+PGjfX111/r0Ucf1axZs1SnTh3NnDlTt912m1mnAAAAAACoojy+6JakBx54QA888ECx2+Lj44us69u3r7Zs2eLmVAAAAAAAXJzHDy8HAAAAAMBbecWV7opW8Iix0s5GZxaHw6HMzEzZ7fbKMREVqpRK138zMvKf1Z2env9cSbOdO5f/XMusLOnMGbKUcxaHzZbff8+evfzJfCrh+1JusrLy82Rk5M/sa6a0tPws6emVJovDzy+//546dfkTqVXC96VcZGbmZ8nJyc9ltoJ/X4fD/DzlkMWRk5Pfd9PSrmwiNU96XwomT/OEz9+srPw/PaX/Xvh/gYfWZQX1YkH9WBKLcakWVdCRI0dUv359s2MAAAAAADzc4cOHVa9evRK3U3QXw+l06ujRowoNDZXFYjE7TokKnid++PBhj36eOFAc+i+8Gf0X3oz+C29F34WnMQxDaWlpqlOnjnx8Sr5zm+HlxfDx8bnobyo8TVhYGB888Fr0X3gz+i+8Gf0X3oq+C08SHh5+yTZMpAYAAAAAgJtQdAMAAAAA4CYU3V7MZrPp2Weflc1mMzsKUGb0X3gz+i+8Gf0X3oq+C2/FRGoAAAAAALgJV7oBAAAAAHATim4AAAAAANyEohsAAAAAADeh6AYAAAAAwE0ougEAAAAAcBOKbgAAAAAA3ISiGwAAAAAAN6HoBgAAAADATSi6AQAAAABwE4puAAAAAADchKIbAAAAAAA3oegGAAAAAMBNKLoBAAAAAHATim4AAAAAANyEohsAAAAAADeh6AaASshisZTqa9WqVZc81ssvv6wlS5ZccZ7nnnuuxO1Lly6VxWLR7NmzS2yTkJAgi8Wi119/vdSve9ddd6lRo0ZlSFp+LBaLHnzwwWK3/fvf/y7y/huGoY8++ki9e/dWVFSUAgICVK9ePQ0aNEjvvvtukWMXfPn6+qp69erq0KGD7rvvPm3YsKFMOTMyMvTKK6+oU6dOCgkJUXBwsDp27KiXX35ZGRkZZT5vd1m1alWp+7UkNWrUSHfddZe5oS8QHx8vi8WiAwcOlNsxMzIyNHXqVHXo0EFhYWEKDQ1V06ZNNWLECK1evbrcXkfyvPcTALyJn9kBAADlb/369YWWX3jhBa1cuVIrVqwotL5169aXPNbLL7+s4cOH6+abby7PiIXccMMNqlWrlubOnavx48cX22bevHmyWq0aOXKk23KYKS4uTlOnTtU999yjxx9/XKGhoTp48KBWrFihpUuX6u677y7Ufvjw4frLX/4iwzBkt9u1c+dOzZ8/X++8844mTpyoGTNmXPI1jx07poEDB+q3337TxIkT9eqrr0qSVqxYoRdffFELFy7U8uXLFR0d7ZZzLovOnTsX6de33HKLmjZtqmnTphVpv3jxYoWFhVVUvEu64YYbtH79etWuXbtcjpeXl6fY2Fjt2LFDjz/+uLp16yZJ2rt3r7744gutXbtWffv2LZfXAgBcGYpuAKiEevToUWi5Zs2a8vHxKbLeU/j5+WnUqFF69dVXtXPnTrVt27bQ9rNnz2rx4sW66aabVLNmTZNSus+5c+c0ffp0jRo1Su+8806hbXfddZecTmeRfaKjowv9ew4aNEiPPPKI7r33Xs2cOVMtW7bU/ffff9HXHTVqlHbv3q2VK1fq2muvda2PiYnRDTfcoP79+2v06NH65ptvrvAMy+bcuXMKDAwstC4sLKxI/7XZbKpWrVqx/bpTp05uzVhWNWvWLNe+u2bNGn3//feaO3euxowZ41o/aNAgPfjgg8X2GQCAORheDgBV1OnTp/XAAw+obt268vf3V5MmTfT0008rOzvb1cZisSgjI0Pvvfeea+huv379JEknTpzQAw88oNatWyskJERRUVG67rrrtHbt2svKM27cOEn5V7R/b+HChcrKytLYsWMlSbNmzVKfPn0UFRWl4OBgtWvXTq+++qocDsdFX+PAgQOyWCyKj48vsq24IfB79+7VHXfcoaioKNlsNrVq1UqzZs26rPO7mIyMDGVnZ5d4FdTHp3T/Xfv6+urNN99UZGSk/vGPf1y07aZNm7Rs2TKNGzeuUMFd4Nprr9XYsWP17bffavPmzZLyC9nevXsXaZuXl6e6devq1ltvda3LycnRiy++qJYtW8pms6lmzZoaM2aMTpw4UWjfRo0a6cYbb9Rnn32mTp06KSAgQJMnTy7V+V7M74dDFwxPX7BggZ588knVrl1bISEhGjp0qI4dO6a0tDTde++9ioyMVGRkpMaMGaP09PRCxzQMQ2+99ZY6duyowMBAVa9eXcOHD9f+/fsvmae44eX9+vVT27ZttXHjRvXu3VtBQUFq0qSJXnnllUsWzadOnZKkUvWZ5557zjXs/lKZHA6HnnjiCdWqVUtBQUG69tpr9eOPPxbZt7Tf/wXfc9OmTdPrr7+uxo0bKyQkRD179izzrRAA4K0ougGgCsrKylL//v01f/58TZo0SV999ZXuvPNOvfrqq4UKp/Xr1yswMFBDhgzR+vXrtX79er311luS8ot2SXr22Wf11Vdfad68eWrSpIn69etXqnvFf6958+a69tpr9cEHHxQpnufNm6e6detq0KBBkqTffvtNd9xxh95//319+eWXGjdunP7xj3/ovvvuu8x3pKhffvlFXbt21c6dO/Xaa6/pyy+/1A033KCJEyeWS1F4ocjISF111VV666239Prrr2v37t0yDOOyjhUYGKiBAwcqMTFRR44cKbFdQkKCJF30toGCbQVtx4wZo3Xr1mnv3r2F2i1btkxHjx51XXF1Op0aNmyYXnnlFd1xxx366quv9MorryghIUH9+vXTuXPnCu2/ZcsWPf7445o4caK++eYb3XbbbWU97VJ76qmndPz4ccXHx+u1117TqlWr9Kc//Um33XabwsPDtXDhQj3xxBN6//339dRTTxXa97777tMjjzyigQMHasmSJXrrrbf0888/q1evXjp27Nhl5UlJSdGf//xn3Xnnnfr88881ePBgxcXF6YMPPrjofldffbWsVqsefvhhffjhh0pOTr6s1/+9e+65R9OmTdOoUaO0dOlS3Xbbbbr11lt15syZQu3K+v0/a9YsJSQkaPr06frwww+VkZGhIUOGKDU1tVxyA4BHMwAAld7o0aON4OBg1/Ls2bMNScYnn3xSqN3UqVMNScayZctc64KDg43Ro0df8jVyc3MNh8NhDBgwwLjlllsKbZNkPPvss5c8xrx58wxJxmeffeZat3PnTkOS8fTTTxe7T15enuFwOIz58+cbvr6+xunTp13bRo8ebTRs2NC1nJiYaEgy5s2bV+Q4v884aNAgo169ekZqamqhdg8++KAREBBQ6HWKI8mYMGFCsds+/fRTQ5KxcuVK17off/zRaNCggSHJkGSEhoYaN954ozF//nzD6XSW+tiGYRhPPvmkIcn44YcfSmwzfvx4Q5Kxe/fuEtvs2rXLkGTcf//9hmEYxsmTJw1/f3/jqaeeKtRuxIgRRnR0tOFwOAzDMIyFCxcakoxFixYVardx40ZDkvHWW2+51jVs2NDw9fU19uzZU2KOkjRs2NC44YYbStx2Yb9duXKlIckYOnRooXaPPPKIIcmYOHFiofU333yzUaNGDdfy+vXrDUnGa6+9Vqjd4cOHjcDAQOOJJ564aNaCvp2YmOha17dv32L/nVq3bm0MGjToosczDMOYM2eOERIS4uoztWvXNkaNGmWsWbOmULtnn33WKO5Hvt9nKvj3fvTRRwu1+/DDDw1JF/0cKOn7v+B7rl27dkZubq5r/Y8//mhIMhYuXHjJ8wQAb8eVbgCoglasWKHg4GANHz680PqC4bjfffddqY4ze/Zsde7cWQEBAfLz85PVatV3332nXbt2XVauESNGKDQ0VHPnznWtmzt3riwWS6H7Vrdu3aqbbrpJERER8vX1ldVq1ahRo5SXl6dff/31sl77QllZWfruu+90yy23KCgoSLm5ua6vIUOGKCsrq9yHxnbt2lX79u3TN998o6eeeko9e/bUd999p1GjRummm24q05XvsrQtzXEKhiZHRERo6NCheu+991zDn8+cOaOlS5dq1KhR8vPLnyrmyy+/VLVq1TR06NBC713Hjh1Vq1atIldC27dvr+bNm5dL5ku58cYbCy23atVKUv5EZ79ff/r0adcQ8y+//FIWi0V33nlnoXOqVauWOnTocFmjOySpVq1arknQCrRv314HDx685L5jx47VkSNHtGDBAk2cOFH169fXBx98oL59+17y9oLirFy5UpL05z//udD6ESNGuP5tL1SW7/8bbrhBvr6+ruX27dtLUqnOEwC8HUX3JaxZs0ZDhw5VnTp1ZLFYyvzYnIL7qH7/FRwc7J7AAFAKp06dUq1atYrc5xkVFSU/Pz/X/aIX8/rrr+v+++9X9+7dtWjRIm3YsEEbN27U9ddfX2T4cGkFBQXpj3/8o7755hulpKQoNzfXVUQ0bdpUknTo0CH17t1bSUlJmjFjhtauXauNGze67rW+3Ne+0KlTp5Sbm6t//vOfslqthb6GDBkiSTp58uRFj+Hr66u8vLxit+Xm5kqSrFZrofVWq1WDBg3SSy+9pG+//VaHDx9Wv3799OWXX+o///lPqfMXFDJ16tQpsU2DBg0kSYmJiSW2KbjXt379+q51Y8eOVVJSkmvI+cKFC5WdnV3o/uljx47p7Nmz8vf3L/L+paSkFHnvymtG79KoUaNGoWV/f/+Lrs/KypKUf06GYSg6OrrIOW3YsOGS/aEkERERRdbZbLZS9+Pw8HD96U9/0owZM/TDDz/op59+UnR0tJ5++mmdPXu2TFkKvu9r1apVaL2fn1+RnGX9/v/9/jabTVL5fL8CgKdj9vJLyMjIUIcOHTRmzJjLusfsscceK/L4mwEDBqhr167lFREAyiwiIkI//PCDDMMoVHgfP35cubm5ioyMvOQxPvjgA/Xr109vv/12ofVpaWlXlG3cuHH6v//7P82fP1/NmzfX8ePH9dprr7m2L1myRBkZGfrss8/UsGFD1/pt27Zd8tgBAQGSVGiyOElFfslQvXp1+fr6auTIkZowYUKxx2rcuPFFXys6OlpJSUnFbitYf6lHcUVEROiRRx7RqlWrtHPnTlfBfzHnzp3T8uXL1bRpU9WrV6/EdjExMXrqqae0ZMkSXX/99cW2KfhFc0xMjGvdoEGDVKdOHc2bN0+DBg3SvHnz1L1790KPn4uMjFRERESJs56HhoYWWi5uki9PExkZKYvForVr17oKxgsVt84Mbdq00R//+EdNnz5dv/76q7p161ao31+Y8/e/KCgojFNSUlS3bl3X+tzc3CLfI+76/geAyoii+xIGDx6swYMHl7g9JydHf/vb3/Thhx/q7Nmzatu2raZOneqa3TckJEQhISGu9tu3b9cvv/yi2bNnuzs6AJRowIAB+uSTT7RkyRLdcsstrvXz5893bS9Q0lU3i8VSpND46aeftH79+kJXRsuqe/fuatu2rebNm6fmzZsrPDy80C89Cwq0C1/bMAz93//93yWPHR0drYCAAP3000+F1i9durTQclBQkPr376+tW7eqffv2rqueZTFw4EB99tlnOnHiRKFHRRmGoU8//VSNGjXSVVddJSl/xmi73V7sVc+CoboXu2pdIC8vTw8++KBOnTqlKVOmXLTt1VdfrdjYWM2ZM0cjR47UNddcU2j7unXrNHfuXF1//fXq0qWLa33BLyOmT5+utWvXatOmTfrXv/5VaN8bb7xRH330kfLy8tS9e/dL5vYGN954o1555RUlJSVpxIgRZsfRqVOnFBoaWmzf3L17t6T/9ZlGjRpJyv/+vPCX/l988UWh/Qp+dvnwww8L/Zt/8sknrtEZBdz1/Q8AlRFF9xUaM2aMDhw4oI8++kh16tTR4sWLdf3112vHjh1q1qxZkfbvvvuumjdvXuwjVwCgoowaNUqzZs3S6NGjdeDAAbVr107r1q3Tyy+/rCFDhmjgwIGutu3atdOqVav0xRdfqHbt2goNDVWLFi1044036oUXXtCzzz6rvn37as+ePXr++efVuHHjIj+gl9XYsWM1adIk7dmzR/fdd1+hZzbHxMTI399ff/rTn/TEE08oKytLb7/9dpHZlYtTcE/u3Llz1bRpU3Xo0EE//vijFixYUKTtjBkzdO2116p37966//771ahRI6WlpWnfvn364osvtGLFiou+1jPPPKMvvvhC3bt311//+lc1a9ZMKSkp+r//+z9t3LhRn3zyiattamqqGjVqpD/84Q8aOHCg6tevr/T0dK1atUozZsxQq1atCs0qL+UPd96wYYMMw1BaWpp27typ+fPna/v27Xr00Ud1zz33XPL9mD9/vgYOHKjY2FhNnDjR9cuWFStWaMaMGWrZsmWxj1cbO3aspk6dqjvuuEOBgYG6/fbbC23/4x//qA8//FBDhgzRww8/rG7duslqterIkSNauXKlhg0bVuiXPd7gmmuu0b333qsxY8Zo06ZN6tOnj4KDg5WcnKx169apXbt2l3wuenlauXKlHn74Yf35z39Wr169FBERoePHj2vhwoX65ptvNGrUKNdIhyFDhqhGjRoaN26cnn/+efn5+Sk+Pl6HDx8udMxWrVrpzjvv1PTp02W1WjVw4EDt3LlT06ZNU1hYWKG27vz+B4BKx7w53LyPJGPx4sWu5X379hkWi8VISkoq1G7AgAFGXFxckf2zsrKM6tWrG1OnTnV3VAAo5PezlxuGYZw6dcoYP368Ubt2bcPPz89o2LChERcXZ2RlZRVqt23bNuOaa64xgoKCDElG3759DcMwjOzsbOOxxx4z6tatawQEBBidO3c2lixZUmTGcMMo/ezlBU6cOGH4+/sbkowff/yxyPYvvvjC6NChgxEQEGDUrVvXePzxx43//Oc/RWYELy5LamqqcffddxvR0dFGcHCwMXToUOPAgQPFZkxMTDTGjh1r1K1b17BarUbNmjWNXr16GS+++GKpzmPv3r3GnXfe6XqPq1WrZsTGxhrfffddoXbZ2dnGtGnTjMGDBxsNGjQwbDabERAQYLRq1cp44oknjFOnThVqr/OzVUsyfHx8jLCwMKNdu3bGvffea6xfv75U2Qqkp6cbL7/8stGxY0cjKCjICAoKMtq3b2+8+OKLRnp6eon79erVy5Bk/PnPfy52u8PhMKZNm+b6dwoJCTFatmxp3HfffcbevXtd7S42A/mlXM7s5Z9++mmhdgUzeG/cuLHQ+oIZv0+cOFFo/dy5c43u3bsbwcHBRmBgoNG0aVNj1KhRxqZNmy6ataTZy9u0aVOkbXH99vcOHz5s/O1vfzOuueYao1atWoafn58RGhpqdO/e3fjnP/9ZaKZww8ifLbxXr15GcHCwUbduXePZZ5813n333SKZsrOzjb/85S9GVFSUERAQYPTo0cNYv359kfeztN//BbOX/+Mf/yhyDmX9XAAAb2UxjHKa4rQKsFgsWrx4seu5pZ9++qlGjBhRZFK07Oxs3Xrrrfr4448LrV+4cKFGjRqlw4cPF5mkBAAAAABQ+TC8/Ao4nU75+vpq8+bNhR6DIanQfdwF3n33Xd14440U3AAAAABQRVB0X4FOnTopLy9Px48fv+Q92omJiVq5cqU+//zzCkoHAAAAADAbRfclpKena9++fa7lxMREbdu2TTVq1FDz5s315z//WaNGjdJrr72mTp066eTJk1qxYoXatWtX6NEuc+fOVe3atS86EzoAAAAAoHLhnu5LWLVqlfr3719k/ejRoxUfHy+Hw6EXX3xR8+fPV1JSkiIiItSzZ09NnjxZ7dq1k5Q/DL1hw4YaNWqUXnrppYo+BQAAAACASSi6AQAAAABwEx+zAwAAAAAAUFlRdAMAAAAA4CZMpFYMp9Opo0ePKjQ0VBaLxew4AAAAAAAPYxiG0tLSVKdOHfn4lHw9m6K7GEePHlX9+vXNjgEAAAAA8HCHDx9WvXr1StxO0V2M0NBQSflvXlhYmMlpSuZwOLRs2TLFxsbKarWaHQcoE/ovvBn9181++UW6/34pMFAKCjI3S2amdO6c9PbbUuvW5mYpJ/RfeCv6LjyN3W5X/fr1XfVjSSi6i1EwpDwsLMzji+6goCCFhYXxwQOvQ/+FN6P/ullIiOTrK4WFSeHh5mbx85NycvIzefDPBGVB/4W3ou/CU13qlmQmUgMAAAAAwE0ougEAAAAAcBOKbgAAAAAA3ISiGwAAAAAAN6HoBgAAAADATSi6AQAAAABwE4puAAAAAADchKIbAAAAAAA3oegGAAAAAMBNKLoBAAAAAHATim4AAAAAANyEohsAAABV3i9H7Tp8OtPsGAAqIT+zAwAAAABmOmbP0rBZ6yRJ9/e7ShP6N5XNz9fkVAAqC650AwAAoErbeuiMHHmGHHmGZn63VzfOXKcth86YHQtAJUHRDQAAgCptR1KqJKl9vXBFhvhr7/F03fb293ru85+VkZ1rcjoA3o6iGwAAAFXajiS7JGnE1fWV8Ghf3dq5rgxDiv/+gGLfWKM1v54wOSEAb0bRDQAAgCrLMAztPH+lu13dcFUP9tfrIzrqvbHdVLdaoJLOntOouT9q0ifbdCYjx+S0ALwRRTcAAACqrKOpWTqdkSM/H4ta1Ap1re/bvKaWPdpHY65pJItF+mxLkmLeWK0vth+VYRgmJgbgbSi6AQAAUGUVXOVuHh2qAGvhGcuDbX56dmgb/Xt8LzWLCtHJ9Bw9tHCr7pm/WSmpWWbEBeCFKLoBAABQZRUU3W3rhpXYpkvD6vpy4rV6eEAzWX0tWr7rmGJeX60Pfzgop5Or3gAuztSi++2331b79u0VFhamsLAw9ezZU//5z38uus/q1avVpUsXBQQEqEmTJpo9e3aRNosWLVLr1q1ls9nUunVrLV682F2nAAAAAC+244L7uS/G5uerR2Oa68uHeqtj/WpKy87V04t36k//t0GJJzMqIioAL2Vq0V2vXj298sor2rRpkzZt2qTrrrtOw4YN088//1xs+8TERA0ZMkS9e/fW1q1b9dRTT2nixIlatGiRq8369et1++23a+TIkdq+fbtGjhypESNG6Icffqio0wIAAIAXuHAStbaXKLoLtKgVqkX399Lfb2ytQKuvfkg8reunr9Hbq35Tbp7TnXEBeClTi+6hQ4dqyJAhat68uZo3b66XXnpJISEh2rBhQ7HtZ8+erQYNGmj69Olq1aqV7r77bo0dO1bTpk1ztZk+fbpiYmIUFxenli1bKi4uTgMGDND06dMr6KwAAADgDVLsWTqZniNfH4ta1S55ePnv+fpYNO7axlr2aB/1bhap7Fynpn6zW8Nm/ddVxANAAT+zAxTIy8vTp59+qoyMDPXs2bPYNuvXr1dsbGyhdYMGDdKcOXPkcDhktVq1fv16Pfroo0XaXKzozs7OVnZ2tmvZbs9/VqPD4ZDD4bjMM3K/gmyenBEoCf0X3oz+62ZOp+TvL1mtkp/JP6pYrflZnE6pkvx703//Z/vB05KkZjWD5SunHI6yXamuFWrVnJGdtHjbUb38nz36+ahdw2b9V3df00gP9m9SZGI2XBn6LjxNafui6UX3jh071LNnT2VlZSkkJESLFy9W69ati22bkpKi6OjoQuuio6OVm5urkydPqnbt2iW2SUlJKTHDlClTNHny5CLrly1bpqCgoMs4q4qVkJBgdgTgstF/4c3ov2705JNmJygsMTH/qxKh/0pfH/aR5KMwp11ff/31ZR8nQNJjraVFB3y07ZSP/rU2UZ9t3K8/Ns3TVaW/gI5Sou/CU2RmZpaqnelFd4sWLbRt2zadPXtWixYt0ujRo7V69eoSC2+LxVJoueA5iReuL67N79ddKC4uTpMmTXIt2+121a9fX7GxsQoL89xPSofDoYSEBMXExMhqtZodBygT+i+8Gf3XzXbtksaPlyIiJLP/H7bbpVOnpNmzpVatzM1STui//7P4/S2STur6bq01pEeDKz7eHyUt33Vcz32xS8fSsvXPn/30p6719Hhsc4UGmP5jt9ej78LTFIyQvhTTv/v9/f111VVXSZKuvvpqbdy4UTNmzNC//vWvIm1r1apV5Ir18ePH5efnp4iIiIu2+f3V7wvZbDbZbLYi661Wq1d8Q3tLTqA49F94M/qvm/j4SDk5+cO5c3PNzeJw5Gfx8ckfal6J0H+ln5PTJEkdGtQot/dicPu66tUsSq/8Z5cW/nhYCzce0co9J/XizW01sHXJP4+i9Oi78BSl7Yce95xuwzAK3V99oZ49exYZTrJs2TJdffXVrhMuqU2vXr3cExgAAABe55g9SyfSsuVjkVqXYRK10ggPtGrKre214J7uahQRpBR7lu6ev0kPLtiik+nF/5wLoPIyteh+6qmntHbtWh04cEA7duzQ008/rVWrVunPf/6zpPxh36NGjXK1Hz9+vA4ePKhJkyZp165dmjt3rubMmaPHHnvM1ebhhx/WsmXLNHXqVO3evVtTp07V8uXL9cgjj1T06QEAAMBDFcwy3iwqVIH+7pnwrFfTSH3zSB/d17eJfH0s+vKnZA18fbU+23LEdYskgMrP1KL72LFjGjlypFq0aKEBAwbohx9+0DfffKOYmBhJUnJysg4dOuRq37hxY3399ddatWqVOnbsqBdeeEEzZ87Ubbfd5mrTq1cvffTRR5o3b57at2+v+Ph4ffzxx+revXuFnx8AAAA8047zRXebuu6dNyDA6qu4wa205IFr1Kp2mM5mOjTpk+0aPW+jjpwp3SRMALybqfd0z5kz56Lb4+Pji6zr27evtmzZctH9hg8fruHDh19JNAAAAFRiBVe629UNr5DXa1cvXJ8/eI3eWbNfM77bqzW/nlDsG2v0xKAWGtmzkXx9Sp70F4B387h7ugEAAAB321HBRbckWX19NKH/VfrPw73VrVENZebk6bkvftEfZn+vvcfSKiwHgIpF0Q0AAIAq5Xhalo7Zz0+iVqfiH0vXtGaIPrq3h168ua1CbH7acuisbpi5TjOW71VOrrPC8wBwL4puAAAAVCk/J+U/W7dpzRAF+Ztzt6WPj0V39mioZY/20YCWUcrJc+qN5b9q6D/Xadvhs6ZkAuAeFN0AAACoUgqGlretwKHlJalTLVDvjr5aM//USTWC/bXnWJpufeu/euHLX5SZY/Jz6gGUC4puAAAAVCmeVHRLksVi0U0d6mj5pL66pVNdOQ1pzrpEbT54xuxoAMqBqbOXAwAAABWtomcuL60awf564/aOuqljHW3Yf0q9m9U0OxKAckDRDQAAgCrjZHq2klOzZLFIbUyYRK00+reIUv8WUWbHAFBOGF4OAACAKqPgKneTyGAF27j+BMD9KLoBAABQZez0sPu5AVR+FN0AAACoMnZ46P3cACovim4AAABUGTvPP6ObK90AKgpFNwAAAKqE0xk5Sjp7TpLnTqIGoPKh6AYAAECVUHA/d+PIYIUGWE1OA6CqoOgGAABAlbCDSdQAmICiGwAAAFXCTtckagwtB1BxKLoBAABQJXClG4AZKLoBAABQ6Z3JyNGRMwWTqFF0A6g4FN0AAACo9H4+mv+osIYRQQoPZBI1ABWHohsAAACVHkPLAZiFohsAAACV3v8mUaPoBlCxKLoBAABQ6e2g6AZgEopuAAAAVGqpmQ4dOp0pSWrLJGoAKhhFNwAAACq1n4/mX+WuXyNQ4UFMogagYlF0AwAAoFJjaDkAM1F0AwAAoFJj5nIAZqLoBgAAQKXGzOUAzETRDQAAgErLnuXQgVNMogbAPBTdAAAAqLR+TrJLkupWC1T1YH+T0wCoiii6AQAAUGkxtByA2UwtuqdMmaKuXbsqNDRUUVFRuvnmm7Vnz56L7nPXXXfJYrEU+WrTpo2rTXx8fLFtsrKy3H1KAAAA8CCumcvrUXQDMIepRffq1as1YcIEbdiwQQkJCcrNzVVsbKwyMjJK3GfGjBlKTk52fR0+fFg1atTQH/7wh0LtwsLCCrVLTk5WQECAu08JAAAAHmQnM5cDMJmfmS/+zTffFFqeN2+eoqKitHnzZvXp06fYfcLDwxUe/r8PzSVLlujMmTMaM2ZMoXYWi0W1atUq/9AAAADwCmlZDu0/mX8xp22dMJPTAKiqTC26fy81Nf83kTVq1Cj1PnPmzNHAgQPVsGHDQuvT09PVsGFD5eXlqWPHjnrhhRfUqVOnYo+RnZ2t7Oxs17Ldnj/hhsPhkMPhKOtpVJiCbJ6cESgJ/RfejP7rZk6n5O8vWa2Sn8k/qlit+VmcTqmS/HtXpf770+HTkqTa4QEKs/lUiXOuzKpS34V3KG1ftBiGYbg5S6kYhqFhw4bpzJkzWrt2ban2SU5OVv369bVgwQKNGDHCtX7Dhg3at2+f2rVrJ7vdrhkzZujrr7/W9u3b1axZsyLHee655zR58uQi6xcsWKCgoKDLPykAAACYZuVRi5Yc9FW76k7d3dJpdhwAlUxmZqbuuOMOpaamKiys5NE0HlN0T5gwQV999ZXWrVunevXqlWqfKVOm6LXXXtPRo0fl71/yIyCcTqc6d+6sPn36aObMmUW2F3elu379+jp58uRF3zyzORwOJSQkKCYmRlar1ew4QJnQf+HN6L9utmuXNH68FBEhmf3/sN0unTolzZ4ttWplbpZyUpX6718+3aHPf0rWIwOu0oR+TcyOgytUlfouvIPdbldkZOQli26PGF7+0EMP6fPPP9eaNWtKXXAbhqG5c+dq5MiRFy24JcnHx0ddu3bV3r17i91us9lks9mKrLdarV7xDe0tOYHi0H/hzei/buLjI+Xk5A/nzs01N4vDkZ/Fxyd/qHklUhX678/J+bcMdmhQvdKfa1VSFfouvENp+6Gps5cbhqEHH3xQn332mVasWKHGjRuXet/Vq1dr3759GjduXKleZ9u2bapdu/aVxAUAAICXyMjOvWASNWYuB2AeU690T5gwQQsWLNDSpUsVGhqqlJQUSfkzlAcGBkqS4uLilJSUpPnz5xfad86cOerevbvatm1b5LiTJ09Wjx491KxZM9ntds2cOVPbtm3TrFmz3H9SAAAAMN0vyXYZhlQrLEA1Q4uOaASAimJq0f32229Lkvr161do/bx583TXXXdJyp8s7dChQ4W2p6amatGiRZoxY0axxz179qzuvfdepaSkKDw8XJ06ddKaNWvUrVu3cj8HAAAAeJ4dR3g+NwDPYGrRXZo53OLj44usCw8PV2ZmZon7vPHGG3rjjTeuJBoAAAC82M6k/KK7HUU3AJOZek83AAAA4A47Coruep77JBoAVQNFNwAAACqVzJxc/XYiXRLDywGYj6IbAAAAlcquZLuchhQValNUaIDZcQBUcRTdAAAAqFQKJlHjfm4AnoCiGwAAAJXKjiS7JIaWA/AMFN0AAACoVJi5HIAnoegGAABApXEuJ097j6dJ4ko3AM9A0Q0AAIBKY1dK/iRqkSE2RYfZzI4DABTdAAAAqDz+N7Q8TBaLxeQ0AEDRDQAAgEqEmcsBeBqKbgAAAFQaO85f6eZ+bgCegqIbAAAAlUKWI097j6dLougG4DkougEAAFAp7E5JU57TUESwv2qHB5gdBwAkUXQDAACgkrhwaDmTqAHwFBTdAAAAqBR2MokaAA9E0Q0AAIBKgUnUAHgiim4AAAB4vezcPP16LE2S1LZumMlpAOB/KLoBAADg9fakpCnXaah6kFV1qwWaHQcAXCi6AQAA4PWYRA2Ap6LoBgAAgNfbmcQkagA8E0U3AAAAvN4Oim4AHoqiGwAAAF4tJ9epPSkFk6hRdAPwLBTdAAAA8Gq/HkuTI89QeKBV9aoziRoAz0LRDQAAAK924dByJlED4GkougEAAODVLpy5HAA8DUU3AAAAvBozlwPwZBTdAAAA8FqOPKd2JxdMohZmchoAKIqiGwAAAF7r12NpyslzKizATw1qBJkdBwCKMLXonjJlirp27arQ0FBFRUXp5ptv1p49ey66z6pVq2SxWIp87d69u1C7RYsWqXXr1rLZbGrdurUWL17szlMBAACACXZecD83k6gB8ESmFt2rV6/WhAkTtGHDBiUkJCg3N1exsbHKyMi45L579uxRcnKy66tZs2aubevXr9ftt9+ukSNHavv27Ro5cqRGjBihH374wZ2nAwAAgAq2g/u5AXg4PzNf/Jtvvim0PG/ePEVFRWnz5s3q06fPRfeNiopStWrVit02ffp0xcTEKC4uTpIUFxen1atXa/r06Vq4cGG5ZAcAAID5diTZJTFzOQDP5VH3dKem5v+mskaNGpds26lTJ9WuXVsDBgzQypUrC21bv369YmNjC60bNGiQvv/++/ILCwAAAFM58pzalUzRDcCzmXql+0KGYWjSpEm69tpr1bZt2xLb1a5dW++88466dOmi7Oxsvf/++xowYIBWrVrlujqekpKi6OjoQvtFR0crJSWl2GNmZ2crOzvbtWy35394OxwOORyOKz01tynI5skZgZLQf+HN6L9u5nRK/v6S1Sr5mfyjitWan8XplCrJv3dl6r+7U9KUk+tUiM1PdUKtleKcULLK1HdROZS2L1oMwzDcnKVUJkyYoK+++krr1q1TvXr1yrTv0KFDZbFY9Pnnn0uS/P399d577+lPf/qTq82HH36ocePGKSsrq8j+zz33nCZPnlxk/YIFCxQUxCyYAAAAnmjDcYsW/uarq8KceqiN0+w4AKqYzMxM3XHHHUpNTVVYWMmPLPSIK90PPfSQPv/8c61Zs6bMBbck9ejRQx988IFruVatWkWuah8/frzI1e8CcXFxmjRpkmvZbrerfv36io2NveibZzaHw6GEhATFxMTIarWaHQcoE/ovvBn918127ZLGj5ciIiSz/x+226VTp6TZs6VWrczNUk4qU//d+OUu6bfD6tuusYZc38LsOHCzytR3UTkUjJC+FFOLbsMw9NBDD2nx4sVatWqVGjdufFnH2bp1q2rXru1a7tmzpxISEvToo4+61i1btky9evUqdn+bzSabzVZkvdVq9YpvaG/JCRSH/gtvRv91Ex8fKScnfzh3bq65WRyO/Cw+PvlDzSuRytB/f05OkyS1r1/d688FpVcZ+i4qh9L2Q1OL7gkTJmjBggVaunSpQkNDXVenw8PDFRgYKCn/KnRSUpLmz58vKX9m8kaNGqlNmzbKycnRBx98oEWLFmnRokWu4z788MPq06ePpk6dqmHDhmnp0qVavny51q1bV/EnCQAAgHKXyyRqALyEqUX322+/LUnq169fofXz5s3TXXfdJUlKTk7WoUOHXNtycnL02GOPKSkpSYGBgWrTpo2++uorDRkyxNWmV69e+uijj/S3v/1Nf//739W0aVN9/PHH6t69u9vPCQAAAO7324kMZTnyJ1FrHBFsdhwAKJHpw8svJT4+vtDyE088oSeeeOKS+w0fPlzDhw+/3GgAAADwYDuS8h8127pOmHx8LCanAYCSedRzugEAAIDS2Hm+6G7H0HIAHo6iGwAAAF6noOhuW9dznzQDABJFNwAAALxMntPQz0fzJ1HjSjcAT0fRDQAAAK+y/0S6zjnyFOTvq8aRIWbHAYCLougGAACAVymYRK1NnTD5MokaAA9H0Q0AAACvssN1PzdDywF4PopuAAAAeJWfk/Lv525bh6IbgOej6AYAAIDXcDoN/Xz0/OPC6lF0A/B8FN0AAADwGvtPZigjJ0+BVl81rckkagA8n19Zd0hNTVVCQoIOHDggi8Wixo0ba+DAgQoL4xmJAAAAcK+C53O3ZhI1AF6iTEX3Bx98oAcffFB2u73Q+vDwcM2ePVu33357uYYDAAAALlQwiRrP5wbgLUo9vHzLli0aM2aMbr75Zm3dulXnzp1TZmamNm3apKFDh2rkyJHavn27O7MCAACgitt5wePCAMAblPpK9z//+U/dfPPNio+PL7S+c+fOmj9/vjIzMzVjxgzNnTu3vDMCAAAA5ydRyx9xySRqALxFqa90//e//9V9991X4vbx48dr3bp15RIKAAAA+L0DpzKUnp2rAKuPrmISNQBeotRF99GjR9W8efMStzdv3lxJSUnlEgoAAAD4vYL7uVvVDpOfLw/hAeAdSv1plZmZqYCAgBK322w2ZWVllUsoAAAA4Pd2MokaAC9UptnLv/32W4WHF/8hd/bs2fLIAwAAABRrZ1L+/dxt61B0A/AeZSq6R48efdHtFgvPSgQAAED5MwxDO4/mX+luy5VuAF6k1EW30+l0Zw4AAACgRAdPZSotK1f+fj5qFs0kagC8BzNQAAAAwONdOImalUnUAHiRUn9i7du3T5s3by607rvvvlP//v3VrVs3vfzyy+UeDgAAAJAunEQtzOQkAFA2pS66H3/8cS1ZssS1nJiYqKFDh8rf3189e/bUlClTNH36dDdEBAAAQFXnup+bSdQAeJlS39O9adMmPfHEE67lDz/8UM2bN9e3334rSWrfvr3++c9/6pFHHin3kAAAAKi6DMP438zlTKIGwMuU+kr3yZMnVa9ePdfyypUrNXToUNdyv379dODAgXINBwAAABw+fU6p5xzy9/VR8+hQs+MAQJmUuuiuUaOGkpOTJeXPZL5p0yZ1797dtT0nJ0eGYZR/QgAAAFRpBZOotawdKn8/JlED4F1K/anVt29fvfDCCzp8+LCmT58up9Op/v37u7b/8ssvatSokTsyAgAAoAorKLoZWg7AG5X6nu6XXnpJMTExatSokXx8fDRz5kwFBwe7tr///vu67rrr3BISAAAAVdfPTKIGwIuVuuhu3Lixdu3apV9++UU1a9ZUnTp1Cm2fPHlyoXu+AQAAgCtlGIbrSnc7rnQD8EKlLrolyWq1qkOHDsVuK2k9AAAAcLmOnDmns5kOWX0tal4rxOw4AFBmpS66x44dW+z68PBwtWjRQnfeeadCQsr2QThlyhR99tln2r17twIDA9WrVy9NnTpVLVq0KHGfzz77TG+//ba2bdum7OxstWnTRs8995wGDRrkahMfH68xY8YU2ffcuXMKCAgoU0YAAACYZ+f5q9wtaoXK5udrchoAKLtST6R25syZYr+2bdumZ555Ri1atND+/fvL9OKrV6/WhAkTtGHDBiUkJCg3N1exsbHKyMgocZ81a9YoJiZGX3/9tTZv3qz+/ftr6NCh2rp1a6F2YWFhSk5OLvRFwQ0AAOBdGFoOwNuV+kr34sWLS9x27tw5jRo1Sn/961/1ySeflPrFv/nmm0LL8+bNU1RUlDZv3qw+ffoUu8/06dMLLb/88staunSpvvjiC3Xq1Mm13mKxqFatWqXOAgAAAM+z86hdktSGSdQAeKky3dNdksDAQD355JO69dZbr+g4qan5v8msUaNGqfdxOp1KS0srsk96eroaNmyovLw8dezYUS+88EKhovxC2dnZys7Odi3b7fkf7g6HQw6Ho6ynUWEKsnlyRqAk9F94M/qvmzmdkr+/ZLVKfuXyo8rls1rzszidUiX59/am/msYhnYcOStJahUd7BWZ4T7e1HdRNZS2L1oMwzDK4wX379+vjh07ugrWsjIMQ8OGDdOZM2e0du3aUu/3j3/8Q6+88op27dqlqKgoSdKGDRu0b98+tWvXTna7XTNmzNDXX3+t7du3q1mzZkWO8dxzz2ny5MlF1i9YsEBBQUGXdT4AAAC4Mqezpclb/ORjMfRqtzxZS31jJAC4X2Zmpu644w6lpqYqLCysxHblVnR/8MEHeu2114rcW11aEyZM0FdffaV169aV+tFjCxcu1N13362lS5dq4MCBJbZzOp3q3Lmz+vTpo5kzZxbZXtyV7vr16+vkyZMXffPM5nA4lJCQoJiYGFmtVrPjAGVC/4U3o/+62a5d0vjxUkSEZPb/w3a7dOqUNHu21KqVuVnKiTf132W/HNOEhdvVqlaoPp/Q0+w4MJk39V1UDXa7XZGRkZcsuks9Zuunn34qdn1qaqo2btyol19+WS+++GLZk0p66KGH9Pnnn2vNmjWlLrg//vhjjRs3Tp9++ulFC25J8vHxUdeuXbV3795it9tsNtlstiLrrVarV3xDe0tOoDj0X3gz+q+b+PhIOTn5w7lzc83N4nDkZ/HxyR9qXol4Q//dlZI/uW67euEenxUVxxv6LqqG0vbDUhfdHTt2lMViUXEXxmvWrKknn3xS48ePL31C5Q8pf+ihh7R48WKtWrVKjRs3LtV+Cxcu1NixY7Vw4ULdcMMNpXqdbdu2qV27dmXKBwAAAPPsPMrM5QC8X6mL7sTExGLXh4eHq1q1apf14hMmTNCCBQu0dOlShYaGKiUlxXXMwMBASVJcXJySkpI0f/58SfkF96hRozRjxgz16NHDtU9gYKDCw/M/kCdPnqwePXqoWbNmstvtmjlzprZt26ZZs2ZdVk4AAABULMMwXM/obkvRDcCLlbrobtiwYbm/+Ntvvy1J6tevX6H18+bN01133SVJSk5O1qFDh1zb/vWvfyk3N1cTJkzQhAkTXOtHjx6t+Ph4SdLZs2d17733KiUlReHh4erUqZPWrFmjbt26lfs5AAAAoPyl2LN0Mj1Hvj4WtartuXPsAMClmPocjtLM4VZQSBdYtWrVJfd544039MYbb1xmKgAAAJhtx5H8q9zNokIUYPU1OQ0AXD4evAAAAACPw9ByAJUFRTcAAAA8zs6jdklMogbA+1F0AwAAwOPs4Eo3gErisorus2fP6t1331VcXJxOnz4tSdqyZYuSkpLKNRwAAACqnmP2LJ1Iy5aPRWrNJGoAvFyZJ1L76aefNHDgQIWHh+vAgQO65557VKNGDS1evFgHDx50PdoLAAAAuBz/m0QtVIH+TKIGwLuV+Ur3pEmTdNddd2nv3r0KCAhwrR88eLDWrFlTruEAAABQ9RQMLW9Tl6vcALxfmYvujRs36r777iuyvm7dukpJSSmXUAAAAKi6fj6aX3QziRqAyqDMRXdAQIDsdnuR9Xv27FHNmjXLJRQAAACqroIr3RTdACqDMhfdw4YN0/PPPy+HwyFJslgsOnTokP7617/qtttuK/eAAAAAqDqOp2XpmP38JGp1GF4OwPuVueieNm2aTpw4oaioKJ07d059+/bVVVddpdDQUL300kvuyAgAAIAqYuf5q9xNa4YoyL/Mc/4CgMcp8ydZWFiY1q1bpxUrVmjLli1yOp3q3LmzBg4c6I58AAAAqEJ2JuXfxsjzuQFUFpf968PrrrtO1113XXlmAQAAQBVXcD83RTeAyqLMRffzzz9/0e3PPPPMZYcBAABA1baTSdQAVDJlLroXL15caNnhcCgxMVF+fn5q2rQpRTcAAAAuy8n0bCWnZslikdowiRqASqLMRffWrVuLrLPb7brrrrt0yy23lEsoAAAAVD0FQ8ubRAYr2MYkagAqhzLPXl6csLAwPf/88/r73/9eHocDAABAFfQz93MDqITKpeiWpLNnzyo1NbW8DgcAAIAqZgf3cwOohMo8bmfmzJmFlg3DUHJyst5//31df/315RYMAAAAVQuPCwNQGZW56H7jjTcKLfv4+KhmzZoaPXq04uLiyi0YAAAAqo7TGTlKOntOEpOoAahcylx0JyYmuiMHAAAAqrALJ1ELDbCanAYAyk+53dMNAAAAXK6C53O3YWg5gEqmVFe6b7311lIf8LPPPrvsMAAAAKiadromUWNoOYDKpVRFd3g4v3EEAACA++zgcWEAKqlSFd3z5s1zdw4AAABUUWcycnTkTP4kahTdACob7ukGAACAqXYezb/K3SgiSGFMogagkinz7OWS9O9//1uffPKJDh06pJycnELbtmzZUi7BAAAAUDUUPJ+bSdQAVEZlvtI9c+ZMjRkzRlFRUdq6dau6deumiIgI7d+/X4MHD3ZHRgAAAFRi/5tEjaIbQOVT5qL7rbfe0jvvvKM333xT/v7+euKJJ5SQkKCJEycqNTXVHRkBAABQie2g6AZQiZW56D506JB69eolSQoMDFRaWpokaeTIkVq4cGGZjjVlyhR17dpVoaGhioqK0s0336w9e/Zccr/Vq1erS5cuCggIUJMmTTR79uwibRYtWqTWrVvLZrOpdevWWrx4cZmyAQAAwP1SMx06dDpTktS2DkU3gMqnzEV3rVq1dOrUKUlSw4YNtWHDBklSYmKiDMMo07FWr16tCRMmaMOGDUpISFBubq5iY2OVkZFR4j6JiYkaMmSIevfura1bt+qpp57SxIkTtWjRIleb9evX6/bbb9fIkSO1fft2jRw5UiNGjNAPP/xQ1tMFAACAGxVMola/RqDCg5hEDUDlU+aJ1K677jp98cUX6ty5s8aNG6dHH31U//73v7Vp0ybdeuutZTrWN998U2h53rx5ioqK0ubNm9WnT59i95k9e7YaNGig6dOnS5JatWqlTZs2adq0abrtttskSdOnT1dMTIzi4uIkSXFxcVq9erWmT59e5qvxAAAAcB/u5wZQ2ZW66F6yZImGDh2qd955R06nU5I0fvx41ahRQ+vWrdPQoUM1fvz4KwpTcE94jRo1Smyzfv16xcbGFlo3aNAgzZkzRw6HQ1arVevXr9ejjz5apE1BoQ4AAADPUHA/N8/nBlBZlbroHj58uCIjIzV69GiNHTtWLVq0kCSNGDFCI0aMuOIghmFo0qRJuvbaa9W2bdsS26WkpCg6OrrQuujoaOXm5urkyZOqXbt2iW1SUlKKPWZ2drays7Ndy3Z7/mMrHA6HHA7H5Z6S2xVk8+SMQEnov/Bm9F83czolf3/JapX8LuvppuXHas3P4nRKleTf29P6744j+UV3q+gQj8kEz+RpfRcobV8s9f9khw4d0rx58/Tee+9p2rRp6tmzp8aNG6cRI0YoODj4soMWePDBB/XTTz9p3bp1l2xrsVgKLRfcS37h+uLa/H5dgSlTpmjy5MlF1i9btkxBQUGXzGO2hIQEsyMAl43+C29G/3WjJ580O0FhiYn5X5WIJ/Tfc7nSwdP5P44m//yDvv7V5EDwCp7QdwFJyszMLFW7UhfdderU0dNPP62nn35aq1ev1ty5czVx4kQ9/PDDGjFihMaNG6eePXteVtiHHnpIn3/+udasWaN69epdtG2tWrWKXLE+fvy4/Pz8FBERcdE2v7/6XSAuLk6TJk1yLdvtdtWvX1+xsbEKCwu7nFOqEA6HQwkJCYqJiZHVysQj8C70X3gz+q+b7doljR8vRURIZv8/bLdLp05Js2dLrVqZm6WceFL/3bD/tLRxk+pWC9AfhhU/nw9QwJP6LiD9b4T0pVzWmK2+ffuqb9++mjVrlj766CPNmzdP1157rVq2bKmff/651McxDEMPPfSQFi9erFWrVqlx48aX3Kdnz5764osvCq1btmyZrr76atc3X8+ePZWQkFDovu5ly5a5HnX2ezabTTabrch6q9XqFd/Q3pITKA79F96M/usmPj5STk7+cO7cXHOzOBz5WXx88oeaVyKe0H93H8t/Yk27utVMzwLv4Ql9F5BU6n5Y5keGXSgkJET9+/dX//79Va1aNf36a9nGBE2YMEEffPCBFixYoNDQUKWkpCglJUXnzp1ztYmLi9OoUaNcy+PHj9fBgwc1adIk7dq1S3PnztWcOXP02GOPudo8/PDDWrZsmaZOnardu3dr6tSpWr58uR555JErOV0AAACUo4JJ1NrVYxI1AJXXZRXdmZmZeu+999S3b181b95cH3/8sSZNmqQDBw6U6Thvv/22UlNT1a9fP9WuXdv19fHHH7vaJCcn69ChQ67lxo0b6+uvv9aqVavUsWNHvfDCC5o5c6brcWGS1KtXL9cV+Pbt2ys+Pl4ff/yxunfvfjmnCwAAADfYyczlAKqAMg0v/+9//6u5c+fq008/VW5urm699VYtX75c/fv3v6wXL5gA7WLi4+OLrOvbt6+2bNly0f2GDx+u4cOHX1YuAAAAuFdalkP7T+YPL29bx3Pn0AGAK1Xqort58+b67bff1KlTJ02dOlV33HGHwsP5rSQAAADK7qfzjwqrEx6giJCic+sAQGVR6qL7+uuv17hx49ShQwd35gEAAEAlZxiGZizfK0nqdVWkyWkAwL1KXXTPnDnTnTkAAABQRXy+/ah+PHBaAVYfPRrT3Ow4AOBWVzR7OQAAAFAW6dm5eumrXZKkB/tfpbrVAk1OBADuRdENAACACvPP7/bqeFq2GkYE6e7eTcyOAwBuR9ENAACACrHveLrmrEuUJD07tLUCrL4mJwIA96PoBgAAgNsZhqHnPv9ZuU5DA1pG6bqW0WZHAoAKUaqJ1MoyidrEiRMvOwwAAAAqp29/TtG6fSfl7+ujZ4a2NjsOAFSYUhXdb7zxRqkOZrFYKLoBAABQyLmcPL3wZf7kaff1baKGEcEmJwKAilOqojsxMdHdOQAAAFBJvb1qn5LOnlPdaoF6oN9VZscBgArFPd0AAABwm4OnMjR7zX5J0t9vbKVAfyZPA1C1lOpK9+8dOXJEn3/+uQ4dOqScnJxC215//fVyCQYAAADv98KXvygn16nezSI1qE0ts+MAQIUrc9H93Xff6aabblLjxo21Z88etW3bVgcOHJBhGOrcubM7MgIAAMALrdh9TMt3HZefj0XPDm0ji8VidiQAqHBlHl4eFxenv/zlL9q5c6cCAgK0aNEiHT58WH379tUf/vAHd2QEAACAl8ly5GnyF79IksZd21hXRYWYnAgAzFHmonvXrl0aPXq0JMnPz0/nzp1TSEiInn/+eU2dOrXcAwIAAMD7zFmXqIOnMhUVatNDA5qZHQcATFPmojs4OFjZ2dmSpDp16ui3335zbTt58mT5JQMAAIBXSjp7Tv9csVeS9PQNrRRiu6xphACgUijzJ2CPHj303//+V61bt9YNN9ygv/zlL9qxY4c+++wz9ejRwx0ZAQAA4EVe/mqXshxOdWtUQzd1qGN2HAAwVZmL7tdff13p6emSpOeee07p6en6+OOPddVVV+mNN94o94AAAADwHv/dd1Jf7UiWj0WaPIzJ0wCgzEV3kyZNXH8PCgrSW2+9Va6BAAAA4J0ceU49+/nPkqRRPRupVe0wkxMBgPnKfE93kyZNdOrUqSLrz549W6ggBwAAQNXy3vcHtO94uiKC/fVoTHOz4wCARyhz0X3gwAHl5eUVWZ+dna2kpKRyCQUAAADvctyepenL8ydPe/L6lgoPtJqcCAA8Q6mHl3/++eeuv3/77bcKDw93Lefl5em7775To0aNyjUcAAAAvMMr/9mt9OxcdahfTcO71DM7DgB4jFIX3TfffLMkyWKxuJ7TXcBqtapRo0Z67bXXyjUcAAAAPN/GA6f12dYkWSzS8ze1kY8Pk6cBQIFSF91Op1OS1LhxY23cuFGRkZFuCwUAAADvkOc09MzS/MnT/ti1vjrUr2ZuIADwMGWevTwxMdEdOQAAAOCFFvxwULuS7QoPtOrxQS3NjgMAHqfME6lJ0urVqzV06FBdddVVatasmW666SatXbu2vLMBAADAg51Kz9Y/vt0jSXostrlqBPubnAgAPE+Zi+4PPvhAAwcOVFBQkCZOnKgHH3xQgYGBGjBggBYsWOCOjAAAAPBA05btkT0rV61rh+mO7g3NjgMAHqnMw8tfeuklvfrqq3r00Udd6x5++GG9/vrreuGFF3THHXeUa0AAAAB4nu2Hz+qjjYclSc8PayNfJk8DgGKV+Ur3/v37NXTo0CLrb7rpJu73BgAAqAKcTkPPfP6zDEO6tVNdXd2ohtmRAMBjlbnorl+/vr777rsi67/77jvVr1+/TMdas2aNhg4dqjp16shisWjJkiUXbX/XXXfJYrEU+WrTpo2rTXx8fLFtsrKyypQNAAAAxft082FtP3xWITY//XUwk6cBwMWUenj52LFjNWPGDP3lL3/RxIkTtW3bNvXq1UsWi0Xr1q1TfHy8ZsyYUaYXz8jIUIcOHTRmzBjddtttl2w/Y8YMvfLKK67l3NxcdejQQX/4wx8KtQsLC9OePXsKrQsICChTNgAAABSVmunQ1G/yf856ZGAzRYXxMxYAXEypi+733ntPr7zyiu6//37VqlVLr732mj755BNJUqtWrfTxxx9r2LBhZXrxwYMHa/DgwaVuHx4ervDwcNfykiVLdObMGY0ZM6ZQO4vFolq1apUpCwAAAC7t9YQ9Op2Ro6uiQjS6VyOz4wCAxyt10W0Yhuvvt9xyi2655Ra3BCqLOXPmaODAgWrYsPBsmenp6WrYsKHy8vLUsWNHvfDCC+rUqZNJKQEAACqHX47a9f6Gg5KkyTe1kdX3sp4+CwBVSplmL7dYPGdWyuTkZP3nP/8p8piyli1bKj4+Xu3atZPdbteMGTN0zTXXaPv27WrWrFmxx8rOzlZ2drZr2W63S5IcDoccDof7TuIKFWTz5IxASei/8Gb0XzdzOiV/f8lqlfzK/KCV8mW15mdxOqVK8u99uf3XMAw9s3SHnIY0uE20ujUM53sAFYrPXnia0vZFi3HhJeyL8PHxUXh4+CUL79OnT5fqhYsEsVi0ePFi3XzzzaVqP2XKFL322ms6evSo/P39S2zndDrVuXNn9enTRzNnziy2zXPPPafJkycXWb9gwQIFBQWVKg8AAEBltumERe/v85W/j6G4jnmqYTM7EQCYKzMzU3fccYdSU1MVFhZWYrsy/fp48uTJhe6pNothGJo7d65Gjhx50YJbyv9lQdeuXbV3794S28TFxWnSpEmuZbvdrvr16ys2Nvaib57ZHA6HEhISFBMTI6vVanYcoEzov/Bm9F8327VLGj9eioiQzP5/2G6XTp2SZs+WWrUyN0s5uZz+m5aVqxdnrJOUoweva6Y7+zZxb0igGHz2wtMUjJC+lDIV3X/84x8VFRV1WYHK0+rVq7Vv3z6NGzfukm0Nw9C2bdvUrl27EtvYbDbZbEV/XWu1Wr3iG9pbcgLFof/Cm9F/3cTHR8rJyR/OnZtrbhaHIz+Lj0/+UPNKpCz9d3bCPp1Iz1GjiCDd1+8qWf183ZwOKBmfvfAUpe2HpS663XE/d3p6uvbt2+daTkxM1LZt21SjRg01aNBAcXFxSkpK0vz58wvtN2fOHHXv3l1t27YtcszJkyerR48eatasmex2u2bOnKlt27Zp1qxZ5Z4fAACgstt3PE1z1yVKkp4d2kY2Cm4AKJPLmr28vGzatEn9+/d3LRcM8R49erTi4+OVnJysQ4cOFdonNTVVixYtKvGZ4GfPntW9996rlJQUhYeHq1OnTlqzZo26detW7vkBAAAqM8Mw9NznvyjXaWhgqyj1b2n+iEcA8DalLrqdTme5v3i/fv0uWszHx8cXWRceHq7MzMwS93njjTf0xhtvlEc8AACAKu2bnSlat++k/P189PcbW5sdBwC8Eg9XBAAAQBHncvL0wpe/SJLG92mihhHBJicCAO9E0Q0AAIAi3lq1T0dTs1S3WqDu73eV2XEAwGtRdAMAAKCQAycz9K/V+yVJf7+xtQL9mTwNAC4XRTcAAAAKeeHLX5ST51TvZpEa1Cba7DgA4NUougEAAODy3a5j+m73cVl9LXrupjZueWwsAFQlFN0AAACQJGU58vT8+cnTxl7bWE1rhpicCAC8H0U3AAAAJEnvrt2vg6cyFR1m00PXNTM7DgBUChTdAAAAUNLZc3pz5T5J0lNDWinE5mdyIgCoHCi6AQAAoJe++kVZDqe6Na6hmzrUMTsOAFQaFN0AAABV3Lq9J/X1jhT5+lg0mcnTAKBcUXQDAABUYTm5Tj37+U5J0sgeDdWqdpjJiQCgcqHoBgAAqMLe+/6AfjuRoYhgfz0a09zsOABQ6VB0AwAAVFHH7VmavvxXSdKTg1sqPNBqciIAqHwougEAAKqoKf/ZrYycPHWsX03DO9czOw4AVEoU3QAAAFXQxgNntHhrkiwW6flhbeTjw+RpAOAOFN0AAABVTJ4hPf/lLknSH7s2UPt61cwNBACVGEU3AABAFfP9MYt2H0tXeKBVjw9qYXYcAKjUKLoBAACqkFMZOfrqUP6PgI8NaqEawf4mJwKAyo2iGwAAoAp5PWGvzuVZ1KpWqO7o1sDsOABQ6VF0AwAAVBH/3XdSn25JkiQ9e2NL+TJ5GgC4nZ/ZAQAAAOBeTqeht1f/ptcTfpVhSF1rOtWlYXWzYwFAlUDRDQAAUImdSMvWpE+2ae3ek5Kkoe1rqXfAEZNTAUDVQdENAABQSa3be1KPfLxNJ9OzFWD10fPD2urm9tH6z38ougGgolB0AwAAVDK5eU5NX75Xs1btk2FILaJD9eYdndQsOlQOh8PseABQpVB0AwAAVCJHz57Twx9t1cYDZyRJf+rWQM/c2FqB/r4mJwOAqomiGwAAoJJY/ssxPfbv7Tqb6VCIzU9Tbm2noR3qmB0LAKo0im4AAAAvl5Pr1Cv/2a25/02UJLWrG6437+ikhhHBJicDAFB0AwAAeLGDpzL00MKt+ulIqiRp3LWN9eT1LeXv52NyMgCARNENAADgtb7YflRxn+1QenauqgVZNW14Bw1sHW12LADABUz9FeiaNWs0dOhQ1alTRxaLRUuWLLlo+1WrVslisRT52r17d6F2ixYtUuvWrWWz2dS6dWstXrzYjWcBAABQsc7l5Cnus5/00MKtSs/OVddG1fX1xN4U3ADggUwtujMyMtShQwe9+eabZdpvz549Sk5Odn01a9bMtW39+vW6/fbbNXLkSG3fvl0jR47UiBEj9MMPP5R3fAAAgAq391iahs1ap4U/HpbFIj103VVaeE8P1akWaHY0AEAxTB1ePnjwYA0ePLjM+0VFRalatWrFbps+fbpiYmIUFxcnSYqLi9Pq1as1ffp0LVy48EriAgAAmMYwDH266Yie+XynshxORYbYNP32jrq2WaTZ0QAAF+GV93R36tRJWVlZat26tf72t7+pf//+rm3r16/Xo48+Wqj9oEGDNH369BKPl52drezsbNey3W6XJDkcDjkcjvINX44KsnlyRqAk9F94M/qvmzmdkr+/ZLVKfib/qGK15mdxOiUT/73Ts3P1zOe/6IufUiRJ1zSN0LThbRUZYitzP6T/wlvRd+FpStsXvarorl27tt555x116dJF2dnZev/99zVgwACtWrVKffr0kSSlpKQoOrrw/UzR0dFKSUkp8bhTpkzR5MmTi6xftmyZgoKCyvck3CAhIcHsCMBlo//Cm9F/3ejJJ81OUFhiYv6XCQ6nS/F7fXUyyyIfGRrSwKkBNY/pxzXHrui49F94K/ouPEVmZmap2nlV0d2iRQu1aNHCtdyzZ08dPnxY06ZNcxXdkmSxWArtZxhGkXUXiouL06RJk1zLdrtd9evXV2xsrMLCwsrxDMqXw+FQQkKCYmJiZLVazY4DlAn9F96M/utmu3ZJ48dLERGS2f8P2+3SqVPS7NlSq1YV+tKGYej9Hw5rxo975MgzVDs8QG/8oZ26NKx+Rcel/8Jb0XfhaQpGSF+KVxXdxenRo4c++OAD13KtWrWKXNU+fvx4kavfF7LZbLLZbEXWW61Wr/iG9pacQHHov/Bm9F838fGRcnLyh3Pn5pqbxeHIz+Ljkz/UvIKkZjr0+L9/0rJf8q9mx7SO1j+Gt1e1IP9yew36L7wVfReeorT90NTZy8vD1q1bVbt2bddyz549iww5WbZsmXr16lXR0QAAAMps88HTGjJzrZb9ckz+vj56bmhrvTOyS7kW3ACAimPqle709HTt27fPtZyYmKht27apRo0aatCggeLi4pSUlKT58+dLyp+ZvFGjRmrTpo1ycnL0wQcfaNGiRVq0aJHrGA8//LD69OmjqVOnatiwYVq6dKmWL1+udevWVfj5AQAAlJbTaWj2mt/02rJflec01CgiSG/e0Vlt64abHQ0AcAVMLbo3bdpUaObxgvuqR48erfj4eCUnJ+vQoUOu7Tk5OXrssceUlJSkwMBAtWnTRl999ZWGDBniatOrVy999NFH+tvf/qa///3vatq0qT7++GN179694k4MAACgDE6kZWvSJ9u0du9JSdKwjnX04s1tFRrAEFoA8HamFt39+vWTYRglbo+Pjy+0/MQTT+iJJ5645HGHDx+u4cOHX2k8AAAAt/t+30k9/PE2nUjLVoDVR8/f1FZ/uLreRSeBBQB4D6+fSA0AAMAb5eY5NeO7vXpz5T4ZhtQ8OkRv3tFZzaNDzY4GAChHFN0AAAAVLDn1nB5euE0/HjgtSfpTt/p65sY2CvT3NTkZAKC8UXQDAABUoO92HdNjn27XmUyHQmx+evnWdrqpQx2zYwEA3ISiGwAAoALk5Dr16je79e66RElSu7rh+uefOqlRZLDJyQAA7kTRDQAA4GaHTmXqoYVbtP1IqiRp7DWN9eTgFrL5MZwcACo7im4AAAA3WrH7mB5euE1p2bmqFmTVP4Z3UEzraLNjAQAqCEU3AACAm/yYeFrjP9iinFynrm5YXTP/1El1qgWaHQsAUIEougEAANzg12Npuvu9jcrJdSq2dbTe+nNn+fn6mB0LAFDB+OQHAAAoZ8mp5zR67o+yZ+Wqy/kr3BTcAFA18ekPAABQjlLPOXTX3I1KTs1S05rBmjP6agVYmTANAKoqim4AAIBykuXI073zN2nPsTRFhdr03thuqhbkb3YsAICJKLoBAADKgdNp6C+fbNcPiacVavNT/Jhuqlc9yOxYAACTUXQDAABcIcMw9PyXv+irHcmy+lr0r5Fd1LpOmNmxAAAegKIbAADgCr2zZr/ivz8gSXptREf1uirS3EAAAI9B0Q0AAHAFFm89oin/2S1J+tsNrXRThzomJwIAeBKKbgAAgMu0du8JPf7pT5Kku69trLt7NzE5EQDA01B0AwAAXIadSaka//5m5ToNDe1QR08NaWV2JACAB6LoBgAAKKPDpzN117yNysjJU88mEZr2h/by8bGYHQsA4IEougEAAMrgdEaORs/9USfTs9WyVqj+NaqLbH6+ZscCAHgoim4AAIBSOpeTp3HvbdT+kxmqWy1Q743tprAAq9mxAAAejKIbAACgFHLznHpwwRZtPXRW4YFWvTe2q6LDAsyOBQDwcBTdAAAAl2AYhv6+dKe+231cNj8fzRl9ta6KCjU7FgDAC/iZHQAAAMDTzdiRqoU/pcrHIs38Uydd3aiG2ZEAAF6CK90AAAAX8VGdzpr+U6ok6flhbTWoTS2TEwEAvAlXugEAAErwXVgjPd1oiCTpwf5X6c4eDU1OBADwNhTdAAAAxdhii9SEWjHK8/HV8CbB+ktsc7MjAQC8EMPLAQAAfme/X6jGRV+nLB+r+p38VVN6RMhisZgdCwDghSi6AQAALnDcN0Cjag3UGd8Atc88plk7PpXVh4IbAHB5TC2616xZo6FDh6pOnTqyWCxasmTJRdt/9tlniomJUc2aNRUWFqaePXvq22+/LdQmPj5eFoulyFdWVpYbzwQAAFQG6RY/jYkeoCPWUDV02DV3/xcKzssxOxYAwIuZWnRnZGSoQ4cOevPNN0vVfs2aNYqJidHXX3+tzZs3q3///ho6dKi2bt1aqF1YWJiSk5MLfQUEBLjjFAAAQCWRIx/dH91PP9siFJF3TvNTlisy95zZsQAAXs7UidQGDx6swYMHl7r99OnTCy2//PLLWrp0qb744gt16tTJtd5isahWLR7nAQAASscp6cmaPbU2sI6CnA7NS1mhhrnpZscCAFQCXn1Pt9PpVFpammrUqFFofXp6uho2bKh69erpxhtvLHIlHAAA4EKvVu+sxSFN5Ws4Nev4arXPOWV2JABAJeHVjwx77bXXlJGRoREjRrjWtWzZUvHx8WrXrp3sdrtmzJiha665Rtu3b1ezZs2KPU52drays7Ndy3a7XZLkcDjkcDjcexJXoCCbJ2cESkL/hTej/7qZ0yn5+0tWq+Tn/h9V5oc01+xqbSVJL53+Qdc6jstR8LpWa34Wp1OqJP/e9F94K/ouPE1p+6LFMAzDzVlKxWKxaPHixbr55ptL1X7hwoW6++67tXTpUg0cOLDEdk6nU507d1afPn00c+bMYts899xzmjx5cpH1CxYsUFBQUKnyAAAA77PtlEXxv/rIkEU31M9TbD2P+LEIAOAFMjMzdccddyg1NVVhYWEltvPKK90ff/yxxo0bp08//fSiBbck+fj4qGvXrtq7d2+JbeLi4jRp0iTXst1uV/369RUbG3vRN89sDodDCQkJiomJkdVqNTsOUCb0X3gz+q+b7doljR8vRURIbvx/+EdbTX1Y8zoZFov+nParnv1+k4o8GMxul06dkmbPllq1cluWikT/hbei78LTFIyQvhSvK7oXLlyosWPHauHChbrhhhsu2d4wDG3btk3t2rUrsY3NZpPNZiuy3mq1esU3tLfkBIpD/4U3o/+6iY+PlJOTP5w7N9ctL7HHWk3jI/oqx+Kr2IxDev7kD/JVMVe5HY78LD4++UPNKxH6L7wVfReeorT90NSiOz09Xfv27XMtJyYmatu2bapRo4YaNGiguLg4JSUlaf78+ZLyC+5Ro0ZpxowZ6tGjh1JSUiRJgYGBCg8PlyRNnjxZPXr0ULNmzWS32zVz5kxt27ZNs2bNqvgTBAAAHueob5BG1xqgNF9/XZ11XDNPrC2+4AYAoByYOnv5pk2b1KlTJ9fjviZNmqROnTrpmWeekSQlJyfr0KFDrvb/+te/lJubqwkTJqh27dqur4cfftjV5uzZs7r33nvVqlUrxcbGKikpSWvWrFG3bt0q9uQAAIDHSfXx1121BijFL1hNc87q3WMrFGDkmR0LAFCJmXqlu1+/frrYPG7x8fGFlletWnXJY77xxht64403rjAZAACobLIsPronqp9+9a+u6NxMvXfsO1Vz5pgdCwBQyXn1c7oBAABKI08WTap5rX4MrKVQZ47iU5arXm6G2bEAAFUARTcAAKjUDEkv1LhaXwc3ktXI07+OrVQrx1mzYwEAqgiKbgAAUKn9K7yN4sPzH/f12on/qlfWMZMTAQCqEopuAABQaX0W0kSv1OgiSfrbqY26KeOAuYEAAFUORTcAAKiU1gTW1hORvSRJd6f+rLvtu0xOBACoiii6AQBApbPDv4buj+qnXIuPbkpP1FOnN5sdCQBQRZn6yDAAAIDydMgvRG9Va6dFIU3ksPiq17lk/ePEf7nKAAAwDUU3AADwer9ZwzQrvJ2WhjRWniW/xO6deVSzjq+WTU6T0wEAqjKKbgAA4LV+tYbrn9Xa66vghnJeUGxPPPuTumYfNzkdAAAU3QAAwAv97F9db1Zrr/8EN3StG5hxWA+e/Ukdc06ZmAwAgMIougEAgNfY7h+hf1Zrr+XB9V3rBmcc1INnf1KbnDMmJgMAoHgU3QAAwONtstXUzGrttSaoriTJYhi6MeOAHjy7Qy0cZ80NBwDARVB0AwAAj2RIWh8QrZnVOmhDYC1Jkq/h1M3p+/VA6k41ddjNDQgAQClQdAMAAI9iGIbW1Giqf141UJtC6kiSrEaehqf9pvtTd6pBbrrJCQEAKD2KbgAA4BEMw9B3u47rn9+kaHvnUZIkf2ee/pi+V/ed/Vl18zJMTggAQNlRdAMAAFM5nYa+/TlF/1yxT78k5w8ZD8jL0Z9P/ax7s/YpOu+cyQkBALh8FN0AAMAUeU5DX/50VLNW7tOvx/KHjAf7+2pks2Dd/dbfFBkeKIWHm5wSAIArQ9ENAAAqlCPPqaXbjuqtlfu0/2T+kPHQAD+N6dVIY65prOqJv0qODEmB5gYFAKAcUHQDAIAKkZPr1KItR/TWqn06fDp/yHi1IKvGXtNYo3s1Unig1eSEAACUP4puAADgVlmOPH2y6bBmr/pNR1OzJEkRwf66p08T3dmjoUJs/DgCAKi8+F8OAAC4xbmcPH34w0G9s2a/jqdlS5KiQm26r29T3dGtgQL9fU1OCACA+1F0AwCAcpWenav31x/Uu2v361RGjiSpTniA7u/XVH+4ur4CrBTbAICqg6IbAACUi9RzDr33/QHN/W+izmY6JEkNagTpgX5NdWvnevL38zE5IQAAFY+iGwAAXLHNB0/rrrkblZadK0lqEhmsCf2v0rCOdeTnS7ENAKi6KLoBAMAVa1U7TFY/HzWvFqIHr2umG9rVlq+PxexYAACYjqIbAABcsSB/Py26v5ca1giSD8U2AAAuFN0AAKBcNI4MNjsCAAAeh5usAAAAAABwE4puAAAAAADcxNSie82aNRo6dKjq1Kkji8WiJUuWXHKf1atXq0uXLgoICFCTJk00e/bsIm0WLVqk1q1by2azqXXr1lq8eLEb0gMAAAAAcHGmFt0ZGRnq0KGD3nzzzVK1T0xM1JAhQ9S7d29t3bpVTz31lCZOnKhFixa52qxfv1633367Ro4cqe3bt2vkyJEaMWKEfvjhB3edBgAAAAAAxTJ1IrXBgwdr8ODBpW4/e/ZsNWjQQNOnT5cktWrVSps2bdK0adN02223SZKmT5+umJgYxcXFSZLi4uK0evVqTZ8+XQsXLiz3cwAAAAAAoCReNXv5+vXrFRsbW2jdoEGDNGfOHDkcDlmtVq1fv16PPvpokTYFhXpxsrOzlZ2d7Vq22+2SJIfDIYfDUX4nUM4KsnlyRqAk9F94M/qvmzmdkr+/ZLVKfib/qGK15mdxOqVK8u9N/4W3ou/C05S2L3pV0Z2SkqLo6OhC66Kjo5Wbm6uTJ0+qdu3aJbZJSUkp8bhTpkzR5MmTi6xftmyZgoKCyie8GyUkJJgdAbhs9F94M/qvGz35pNkJCktMzP+qROi/8Fb0XXiKzMzMUrXzqqJbkiwWS6FlwzCKrC+uze/XXSguLk6TJk1yLdvtdtWvX1+xsbEKCwsrj9hu4XA4lJCQoJiYGFmtVrPjAGVC/4U3o/+62a5d0vjxUkSEZPb/w3a7dOqUNHu21KqVuVnKCf0X3oq+C09TMEL6Uryq6K5Vq1aRK9bHjx+Xn5+fIiIiLtrm91e/L2Sz2WSz2Yqst1qtXvEN7S05geLQf+HN6L9u4uMj5eTkD+fOzTU3i8ORn8XHJ3+oeSVC/4W3ou/CU5S2H3rVc7p79uxZZDjJsmXLdPXVV7tOuKQ2vXr1qrCcAAAAAABIJl/pTk9P1759+1zLiYmJ2rZtm2rUqKEGDRooLi5OSUlJmj9/viRp/PjxevPNNzVp0iTdc889Wr9+vebMmVNoVvKHH35Yffr00dSpUzVs2DAtXbpUy5cv17p16yr8/AAAAAAAVZupV7o3bdqkTp06qVOnTpKkSZMmqVOnTnrmmWckScnJyTp06JCrfePGjfX1119r1apV6tixo1544QXNnDnT9bgwSerVq5c++ugjzZs3T+3bt1d8fLw+/vhjde/evWJPDgAAAABQ5Zl6pbtfv36uidCKEx8fX2Rd3759tWXLlosed/jw4Ro+fPhl5yrIVNob483icDiUmZkpu93OfS3wOvRfeDP6r5ulp0t5efmTmJl9T3dmZn6W9PT8PJUA/Rfeir4LT1NQL16sppW8bCK1ipKWliZJql+/vslJAACAR+jZ0+wEAAAPlZaWpvDw8BK3W4xLleVVkNPp1NGjRxUaGnrRR42ZreDRZocPH/boR5sBxaH/wpvRf+HN6L/wVvRdeBrDMJSWlqY6derIx6fkO7e50l0MHx8f1atXz+wYpRYWFsYHD7wW/RfejP4Lb0b/hbei78KTXOwKdwGvemQYAAAAAADehKIbAAAAAAA3oej2YjabTc8++6xsNpvZUYAyo//Cm9F/4c3ov/BW9F14KyZSAwAAAADATbjSDQAAAACAm1B0AwAAAADgJhTdAAAAAAC4CUU3AAAAAABuQtENAAAAAICbUHQDAAAAAOAmFN0AAAAAALgJRTcAAAAAAG5C0Q0AAAAAgJtQdAMAAAAA4CYU3QAAAAAAuAlFNwAAAAAAbkLRDQAAAACAm1B0AwAAAADgJhTdAAAAAAC4CUU3AAAAAABuQtENAFfAYrGU6mvVqlWXPNbLL7+sJUuWXHGe5557rsTtS5culcVi0ezZs0tsk5CQIIvFotdff73Ur3vXXXepUaNGZUhafiwWix588MFit/373/8u8v4bhqGPPvpIvXv3VlRUlAICAlSvXj0NGjRI7777bpFjF3z5+vqqevXq6tChg+677z5t2LChTDkzMjL0yiuvqFOnTgoJCVFwcLA6duyol19+WRkZGWU+b3dZtWpVqfu1JDVq1Eh33XWXuaEvEB8fL4vFogMHDpTbMTMyMjR16lR16NBBYWFhCg0NVdOmTTVixAitXr263F5HMv/9nD9/vmrWrKm0tLRyOd6vv/6qxx57TF26dFG1atVUo0YNXXPNNfr3v/9dbPvjx4/rrrvuUmRkpIKCgtSzZ0999913Rdp9+eWXGjVqlNq1ayer1erqj8X529/+phtvvFF169aVxWIp8f0dOXKkbr755ss5TQC4KD+zAwCAN1u/fn2h5RdeeEErV67UihUrCq1v3br1JY/18ssva/jw4W79oe+GG25QrVq1NHfuXI0fP77YNvPmzZPVatXIkSPdlsNMcXFxmjp1qu655x49/vjjCg0N1cGDB7VixQotXbpUd999d6H2w4cP11/+8hcZhiG73a6dO3dq/vz5eueddzRx4kTNmDHjkq957NgxDRw4UL/99psmTpyoV199VZK0YsUKvfjii1q4cKGWL1+u6Ohot5xzWXTu3LlIv77lllvUtGlTTZs2rUj7xYsXKywsrKLiXdINN9yg9evXq3bt2uVyvLy8PMXGxmrHjh16/PHH1a1bN0nS3r179cUXX2jt2rXq27dvubyW2TIzM/XUU0/pySefVGhoaLkcc9myZfrqq680cuRIde3aVbm5ufr444/1hz/8QZMnT9Yzzzzjapudna0BAwbo7NmzmjFjhqKiojRr1ixdf/31Wr58eaH3efHixdqwYYM6deokm82mzZs3l5jhjTfeUPv27XXTTTdp7ty5JbZ77rnn1LJlS61YsULXXXdduZw/AEiSDABAuRk9erQRHBx8WfsGBwcbo0ePvqLXl2Q8++yzF23zxBNPGJKMHTt2FNl25swZIyAgwLjtttvK9LqjR482GjZsWKZ9yoskY8KECcVu+/TTTw1JxsqVKw3DMIzMzEzDZrMZo0aNKrZ9Xl5eqY6dm5trjB071pBkvPXWW5fMGBsba/j5+Rlr164tsm3t2rWGn5+fMWjQoEsep7xlZmaWql3Dhg2NG264wc1pPNOKFSsMScbcuXOL3f77PnOlGjZseMWfA5frrbfeMgICAowzZ86U2zFPnDhhOJ3OIutvuOEGIygoyMjKynKtmzVrliHJ+P77713rHA6H0bp1a6Nbt26F9r/wfZ8wYYJxsR9pL2x7qc/ZG2+80YiJibnoOQFAWTG8HADc7PTp03rggQdUt25d+fv7q0mTJnr66aeVnZ3tamOxWJSRkaH33nvPNXS3X79+kqQTJ07ogQceUOvWrRUSEqKoqChdd911Wrt27WXlGTdunKT8K9q/t3DhQmVlZWns2LGSpFmzZqlPnz6KiopScHCw2rVrp1dffVUOh+Oir3HgwAFZLBbFx8cX2VbcEPi9e/fqjjvuUFRUlGw2m1q1aqVZs2Zd1vldTEZGhrKzs0u8CurjU7r/Fn19ffXmm28qMjJS//jHPy7adtOmTVq2bJnGjRuna6+9tsj2a6+9VmPHjtW3337rulrXqVMn9e7du0jbvLw81a1bV7feeqtrXU5Ojl588UW1bNlSNptNNWvW1JgxY3TixIlC+zZq1Eg33nijPvvsM3Xq1EkBAQGaPHlyqc73Yn4/HLpgePqCBQv05JNPqnbt2goJCdHQoUN17NgxpaWl6d5771VkZKQiIyM1ZswYpaenFzqmYRh666231LFjRwUGBqp69eoaPny49u/ff8k8xQ0v79evn9q2bauNGzeqd+/eCgoKUpMmTfTKK6/I6XRe9HinTp2SpFL1meeee67YYc7FZXI4HHriiSdUq1YtBQUF6dprr9WPP/5YZN/Sfv8XfM9NmzZNr7/+uho3bqyQkBD17Nmz1LdCvP322xo6dKiqVatWqvalERkZWex70q1bN2VmZur06dOudYsXL1aLFi3Us2dP1zo/Pz/deeed+vHHH5WUlORaX9rv1bK2HTlypJYvX67ffvut1PsAwKVQdAOAG2VlZal///6aP3++/p+9+w5vqmz/AP7NTnfpbqGsQhd7yVCWUBAUBURQlCLjVRwvIipanLhRwIKKvCpQEUH0x3KgUpEpBVkFESir0FJaoC3dbZpxfn+EREJX2iY9Sfv9XFcum5PnnNwnnoTceZ7nfmbPno2ff/4ZjzzyCD744AOLxCkpKQkuLi4YOXIkkpKSkJSUhKVLlwKA+Uvp66+/jp9//hkrV65E27ZtMWjQIKvmit8qPDwcd9xxB1avXl0heV65ciWaN2+O4cOHAwDOnTuHiRMn4uuvv8ZPP/2EadOm4cMPP8Tjjz9ex1ekohMnTqBXr144fvw4Fi5ciJ9++gl33303Zs6caZOk8GZ+fn5o164dli5dikWLFuHUqVMQBKFOx3JxccHQoUORmpqKS5cuVdkuMTERAKqdNmB6zNR2ypQp2LNnD86cOWPRbuvWrbh8+TKmTJkCADAYDLjvvvvw/vvvY+LEifj555/x/vvvIzExEYMGDUJpaanF/ocPH8YLL7yAmTNn4tdff8X9999f29O22ty5c3H16lUkJCRg4cKF2LFjBx566CHcf//98PLywtq1azFnzhx8/fXXmDt3rsW+jz/+OGbNmoWhQ4di06ZNWLp0Kf755x/069cPV65cqVM8WVlZePjhh/HII4/ghx9+wIgRIxAXF4fVq1dXu1/Pnj2hUCjwzDPP4JtvvkFmZmadnv9W//nPf7BgwQLExsZi8+bNuP/++zF27Fhcv37dol1t3/+ffvopEhMTER8fj2+++QbFxcUYOXIk8vPzq43n0qVL+PvvvzF48GCbnF9Ntm/fDn9/fwQEBJi3HT9+HJ07d67Q1rTtn3/+sXtcgwYNgiAI2LJli92fi4iaEJF72h3ezp07hXvuuUcIDg4WAAgbN26s1f6vv/66AKDCzdXV1T4BE5Gobh1evmzZMgGA8N1331m0mz9/vgBA2Lp1q3mbtcPLdTqdoNVqhSFDhghjxoyxeAxWDC8XBEFYuXKlAEDYsGGDedvx48cFAMLLL79c6T56vV7QarXCqlWrBJlMJuTm5pofu3V4eWpqqgBAWLlyZYXj3Brj8OHDhRYtWgj5+fkW7Z5++mlBrVZbPE9lUIvh5YIgCH/99ZfQsmVL8+exh4eHcM899wirVq2qMAy2umMLgiC8+OKLAgBh//79VbaZMWOGAEA4depUlW1OnjwpABCeeOIJQRAEITs7W1AqlcLcuXMt2o0fP14IDAwUtFqtIAiCsHbtWgGAsH79eot2Bw4cqDD0vVWrVoJMJhNSUlKqjKMq1Q0vv3U49Pbt2wUAwqhRoyzazZo1SwAgzJw502L76NGjBR8fH/P9pKQkAYCwcOFCi3bp6emCi4uLMGfOnGpjNV3bqamp5m0DBw6s9P9TdHS0VcP6ly9fLri7u5uvmeDgYCE2NlbYtWuXRTvTv/k1xWT6//3ss89atPvmm28EANV+DlT1/je95zp16iTodDrz9r/++ksAIKxdu7bac1y3bp0AQNi3b1+17Wzhiy++EAAIixcvttiuUCiExx9/vEL7vXv3CgCENWvWVHq8moaX38yaz9nmzZsLEyZMsOp4RETWYE93DYqLi9GlSxd88sknddr/+eefR2ZmphB6LAgAAQAASURBVMUtOjoaDzzwgI0jJSJH9Mcff8DNzQ3jxo2z2G4ajltZVd7KLFu2DN27d4darYZcLodCocC2bdtw8uTJOsU1fvx4eHh4WBQVWrFiBSQSibkXFQCOHDmCe++9F76+vpDJZFAoFIiNjYVer8fp06fr9Nw3Kysrw7Zt2zBmzBi4urpCp9OZbyNHjkRZWVmtq4TXpFevXjh79ix+/fVXzJ0711wdOTY2Fvfee2+ter5r09aa45iG4fr6+mLUqFH46quvzMOfr1+/js2bNyM2NhZyubEO6k8//QRvb2+MGjXK4rXr2rUrgoKCKvSEdu7cGeHh4TaJuSb33HOPxf2oqCgAxkJnt27Pzc01DzH/6aefIJFI8Mgjj1icU1BQELp06VKn0R0AEBQUZC6CZtK5c2dcvHixxn2nTp2KS5cuYc2aNZg5cyZCQ0OxevVqDBw4sMbpBZXZvn07AODhhx+22D5+/Hjz/9ub1eb9f/fdd0Mmk5nvm3qJazrPy5cvA4BFz7M9/PLLL3jqqacwbtw4/Pe//63weHVVyKt7zJYCAgIshrITEdUXk+4ajBgxAm+//bbFMNCblZeXY86cOWjevDnc3NzQu3dviy8E7u7uCAoKMt+uXLmCEydOmOdUElHjlpOTg6CgoApfFgMCAiCXy83zRauzaNEiPPHEE+jduzfWr1+Pffv24cCBA7jrrrsqDB+2lqurKx588EH8+uuvyMrKgk6nMycRYWFhAIC0tDT0798fGRkZWLx4MXbv3o0DBw6Y51rX9blvlpOTA51Oh48//hgKhcLiNnLkSABAdnZ2tceQyWTQ6/WVPqbT6QAACoXCYrtCocDw4cPxzjvv4LfffkN6ejoGDRqEn376Cb/88ovV8ZsSmZCQkCrbtGzZEgCQmppaZRvTXN/Q0FDztqlTpyIjI8M85Hzt2rXQaDQW86evXLmCvLw8KJXKCq9fVlZWhdfOVhW9reHj42NxX6lUVru9rKwMgPGcBEFAYGBghXPat29fjddDVXx9fStsU6lUVl/HXl5eeOihh7B48WLs378fx44dQ2BgIF5++WXk5eXVKhbT+z4oKMhiu1wurxBnbd//t+6vUqkA1Px+NT2uVqtrdS618dtvv2Hs2LGIiYnBN998U+Fz0dfXt9LPRNMQ+1uvHXtRq9U2+XwjIjLhkmH1NGXKFFy4cAHffvstQkJCsHHjRtx11134+++/0b59+wrtv/zyS4SHh1daIIeIGh9fX1/s378fgiBYfMG8evUqdDod/Pz8ajzG6tWrMWjQIHz22WcW2+u7ju60adPwxRdfYNWqVQgPD8fVq1excOFC8+ObNm1CcXExNmzYgFatWpm3Jycn13hs0xf3m4vFAajwhbpZs2aQyWSYNGkSnnrqqUqP1aZNm2qfKzAwsMpeKdP2mpbi8vX1xaxZs7Bjxw4cP37cnPBXp7S0FL///jvCwsLQokWLKtvFxMRg7ty52LRpE+66665K25jWZ4+JiTFvGz58OEJCQrBy5UoMHz4cK1euRO/evS2Wn/Pz84Ovry9+/fXXSo9767JPDdVTWB+mwlu7d+82J4w3q2ybGDp06IAHH3wQ8fHxOH36NG677TaL6/7mOG/9ocCUGGdlZaF58+bm7TqdrsJ7xF7v/1uZPotyc3Pt8uPMb7/9htGjR2PgwIFYv369+ceWm3Xq1Al///13he2mbR07drR5XJXJzc1F69atG+S5iKhpYE93PZw7dw5r167F999/j/79+yMsLAzPP/887rjjjkqrAms0GnzzzTfs5SZqQoYMGYKioiJzUmWyatUq8+MmVfW6SSSSConGsWPHKqylXFu9e/dGx44dsXLlSqxcuRJeXl4WhbVMCdrNzy0IAr744osajx0YGAi1Wo1jx45ZbN+8ebPFfVdXVwwePBhHjhxB586d0bNnzwq3ynoobzZ06FBs3769QrVuQRDw/fffo3Xr1mjXrh0AY8XoqkYXmIbqVtdrbaLX6/H0008jJycHL774YrVte/bsiWHDhmH58uX4888/Kzy+Z88erFixAnfddRd69Ohh3m76MWLTpk3YvXs3Dh48aK4qb3LPPfcgJycHer2+0tcuIiKixnNxNPfccw8EQUBGRkal59SpU6cGjScnJwfl5eWVPnbq1CkA/14zpkTt1uv+xx9/tLhvWpngm2++sdj+3XffmUdnmNjr/X+ryMhIALBL1e6tW7di9OjRuOOOO7Bp06YqfzgZM2YMTp06hf3795u3mUbh9O7d26r3Zn3pdDqkp6db/LhFRFRf7Omuh8OHD0MQhArz4zQaTaVfEjds2IDCwkLExsY2VIhEJLLY2Fh8+umnmDx5Mi5cuIBOnTphz549ePfddzFy5EgMHTrU3LZTp07YsWMHfvzxRwQHB8PDwwMRERG455578NZbb+H111/HwIEDkZKSgjfffBNt2rSp8AW9tqZOnYrZs2cjJSUFjz/+OFxcXMyPxcTEQKlU4qGHHsKcOXNQVlaGzz77rEJ15cqY5uSuWLECYWFh6NKlC/766y+sWbOmQtvFixfjjjvuQP/+/fHEE0+gdevWKCwsxNmzZ/Hjjz/ijz/+qPa5XnvtNfz444/o3bs3XnrpJbRv3x5ZWVn44osvcODAAXz33Xfmtvn5+WjdujUeeOABDB06FKGhoSgqKsKOHTuwePFiREVFVZhOdOXKFezbtw+CIKCwsBDHjx/HqlWrcPToUTz77LP4z3/+U+PrsWrVKgwdOhTDhg3DzJkzzT+2/PHHH1i8eDEiIyMrXV5t6tSpmD9/PiZOnAgXFxdMmDDB4vEHH3wQ33zzDUaOHIlnnnkGt912GxQKBS5duoTt27fjvvvuw5gxY2qMz5HcfvvteOyxxzBlyhQcPHgQAwYMgJubGzIzM7Fnzx506tQJTzzxRIPFs337djzzzDN4+OGH0a9fP/j6+uLq1atYu3Ytfv31V8TGxppHOowcORI+Pj6YNm0a3nzzTcjlciQkJCA9Pd3imFFRUXjkkUcQHx8PhUKBoUOH4vjx41iwYAE8PT0t2trz/X+z3r17w8XFBfv27cO9995r8diQIUOwc+dOi+d788038eabb2Lbtm0YOHAgAGDnzp0YMmQIXnvtNbz22msAjD8qjR49GkFBQZg7d26FkTLR0dHmc546dSo+/fRTPPDAA3j//fcREBCApUuXIiUlBb///rvFfhcvXsSBAwcA/PtDwf/93/8BMP740bNnT3PbnTt3mn+U0+v1uHjxorntwIED4e/vb2577NgxlJSUNFgVdyJqIsSq4OaMcEv18m+//VaQyWTCqVOnhDNnzljcMjMzK+x/5513CqNHj27AiImood1avVwQBCEnJ0eYMWOGEBwcLMjlcqFVq1ZCXFycUFZWZtEuOTlZuP322wVXV1cBgDBw4EBBEARBo9EIzz//vNC8eXNBrVYL3bt3FzZt2lShYrggWF+93OTatWuCUqkUAAh//fVXhcd//PFHoUuXLoJarRaaN28uvPDCC8Ivv/xSoSJ4ZbHk5+cL06dPFwIDAwU3Nzdh1KhRwoULFyqNMTU1VZg6darQvHlzQaFQCP7+/kK/fv2Et99+26rzOHPmjPDII4+YX2Nvb29h2LBhwrZt2yzaaTQaYcGCBcKIESOEli1bCiqVSlCr1UJUVJQwZ84cIScnx6I9blp1QiqVCp6enkKnTp2Exx57TEhKSrIqNpOioiLh3XffFbp27Sq4uroKrq6uQufOnYW3335bKCoqqnK/fv36CQCEhx9+uNLHtVqtsGDBAvP/J3d3dyEyMlJ4/PHHhTNnzpjbVVeBvCZ1qV7+/fffW7QzVfA+cOCAxXZTxe9r165ZbF+xYoXQu3dvwc3NTXBxcRHCwsKE2NhY4eDBg9XGWlX18g4dOlRoW9l1e6v09HThlVdeEW6//XYhKChIkMvlgoeHh9C7d2/h448/tqgULgjGauH9+vUT3NzchObNmwuvv/668OWXX1aISaPRCM8995wQEBAgqNVqoU+fPkJSUlKF19Pa97+pevmHH35Y4Rys/VyYNGmSEB0dXWG7qfr7zUz/327+HDD9v7/5uapaxcV0u3l/QRCErKwsITY2VvDx8TG/LomJiRViMv1/rux2a3VyU/zWPP+rr74q+Pn5Vfh8JiKqD4kg2Kj0ahMgkUiwceNG83qqp0+fRkREBHbt2lXjHO3U1FSEhYXhhx9+qFDRlYiIiEhsBw8eRK9evbBv3z707t1b7HAanF6vR7t27TBx4kS88847YodDRI0I53TXoKioCMnJyebhUKmpqUhOTkZaWhrCw8Px8MMPIzY2Fhs2bEBqaioOHDiA+fPnY8uWLRbHWbFiBYKDgzFixAgRzoKIiIioej179sT48ePx1ltviR2KKFavXo2ioiK88MILYodCRI0Mk+4aHDx4EN26dUO3bt0AALNnz0a3bt3Mc5VWrlyJ2NhYPPfcc4iIiMC9996L/fv3Wyz7YjAYkJCQgEcffdRi7UwiIiIiR7Jw4UL06tXL5tXRnYHBYMA333wDb29vsUMhokaGw8uJiIiIiIiI7IQ93URERERERER2wqSbiIiIiIiIyE64TnclDAYDLl++DA8PD0gkErHDISIiIiIiIgcjCAIKCwsREhICqbTq/mwm3ZW4fPmyRSE0IiIiIiIiosqkp6ejRYsWVT7OpLsSHh4eAIwvnqenp8jRVE2r1WLr1q0YNmwYFAqF2OE0PunpwOuvA66uxpuYMjKAPXuAtm2BZs3EjeXaNeD0aSAiAvDzq/NhtHI5tk6ejGFffQWFTle3g5SUAKWlwGefAdHRdY6FqLb4+UvOjNcvOSteu+RoCgoKEBoaas4fq8KkuxKmIeWenp4On3S7urrC09OTHzz24OEBKBSAtzfg5SVuLIWFgERijMnXV9xYSkuNsbi51SsWrVxuvH59feuedMvlQHk54O4OOPB7lRoffv6SM+P1S86K1y45qpqmJLOQGhEREREREZGdMOkmIiIiIiIishMm3URERERERER2wqSbiIiIiIiIyE6YdBMRERERERHZCZNuIiIiIiIiIjth0k1ERERERERkJ0y6iYiIiIiIiOyESTcRERERERGRnTDpJiIiIiIiIrITJt1EREREREREdsKkm4iIyIlpdHqxQyAiIqJqMOkmIiJyUrnF5RgRvxurki6IHQoRERFVgUk3ERGRE9Lo9Jjx9SGczy7Gl7tTUazRiR0SERERVYJJNxERkZMRBAFzNxzHXxdy4aGSY/nknnBTycUOi4iIiCrBpJuIiMjJLNt5HusPX4JMKsEnD3dH+0APsUMiIiKiKjDpJiIiciK/Hs/E/F9PAQDeGBWNgeH+IkdERERE1WHSTURE5CT+vpSPWeuSAQCP9muNSX1bixoPERER1YxJNxERkRPIyi/D9FUHUKY1YEC4P165O0rskIiIiMgKTLqJiIgcXEm5DtNXHcCVAg3aB7jjk4ndIJfxn3AiIiJnwH+xiYiIHJjBIGD2uqM4nlEAHzclVjzaC55qhdhhERERkZWYdBMRETmwBVtT8Os/WVDKpPh8Ug+E+riKHRIRERHVApNuIiKqlEanR7FGJ3YYTdr/HbqEpTvOAQDmj+uEnq19RI6IiIiIaotJNxERVWrG14fQ571tuFpQJnYoTdJfqbmI23AMAPD04HYY062FyBERERFRXTDpJiKiCq4WlmF7yjUUlunw14VcscNpci7mFOPxrw9CqxcwslMQZseEix0SERER1RGTbiIiquDPs9nmv1OyCkWMpOnJL9Vi2lcHcb1Ei84tvLDwga6QSiVih0VERER1xKSbiIgq2H3636T7ZCaT7oai0xvw9JrDOHu1CMFeanwZ2xMuSpnYYREREVE9MOkmIiILgiBg15mberqvFIgYTdMy78cT2H0mGy4KGb6I7YkAT7XYIREREVE9MekmIiILp7IKkV2kgVJu/CciPbcURaxibndf7b2Ar/ddhEQCxD/YFR2be4kdEhEREdmAqEn3e++9h169esHDwwMBAQEYPXo0UlJSatxv586d6NGjB9RqNdq2bYtly5ZVaLN+/XpER0dDpVIhOjoaGzdutMcpEBE1OrvPXAMA3B7mi6AbPa2c121fO1KuYt6P/wAAXrorEsM7BIkcEREREdmKqEn3zp078dRTT2Hfvn1ITEyETqfDsGHDUFxcXOU+qampGDlyJPr3748jR45g7ty5mDlzJtavX29uk5SUhAkTJmDSpEk4evQoJk2ahPHjx2P//v0NcVpERE5t942h5f3b+yMiyAMAcCqLQ8ztJSWrEE+vOQKDAIzv2QKPDWgrdkhERERkQ3Ixn/zXX3+1uL9y5UoEBATg0KFDGDBgQKX7LFu2DC1btkR8fDwAICoqCgcPHsSCBQtw//33AwDi4+MRExODuLg4AEBcXBx27tyJ+Ph4rF271n4nRETk5Mq0euxPNS4RNiDcD1cKy7Dz9DX2dNtJdpEG0746gCKNDr3b+ODt0Z0gkbBSORERUWPiUHO68/PzAQA+Pj5VtklKSsKwYcMstg0fPhwHDx6EVqutts3evXttHDERUePyV2ouynUGBHupEebvjkhTTzcrmNtcmVaPx78+hEvXS9HK1xXLHulhnkdPREREjYeoPd03EwQBs2fPxh133IGOHTtW2S4rKwuBgYEW2wIDA6HT6ZCdnY3g4OAq22RlZVV6TI1GA41GY75fUGAcRqnVas2JvCMyxebIMTo1vR6QywGZDJCK/EVYLgfUakCpNP4tJqUScHGpdyzaG/tq63M+CoUxDoMB4PvAJnamXAFgnM+t0+nQzs8VgHF4eXl5OXthb6jv568gCHhx/XEcungdnmo5/vdwN7grJfw8pwbB7w/krHjtkqOx9lp0mKT76aefxrFjx7Bnz54a2976pU8QhArbK2tT1ZfF9957D/PmzauwfevWrXB1da0xHrElJiaKHULjNW6c2BEYde8OjB0rdhR2kWiL80pNNd6o3rYkywBI4FaYhi1bLkJnAKQSGQrKdFiz6Rc0U4kdoWOp6+fv1ksS/JwugxQCHmmrQcqBnai5jCiRbfH7AzkrXrvkKEpKSqxq5xBJ93//+1/88MMP2LVrF1q0aFFt26CgoAo91levXoVcLoevr2+1bW7t/TaJi4vD7NmzzfcLCgoQGhqKYcOGwdPTsy6n1CC0Wi0SExMRExMDhUIhdjiNz6VLwGuvAX5+gNjXwYULQGIi0LEj4O8vbiyXLwPHjgGdOwMhIXU+jFYuR+LYsYjZsAEKXR2XoyooAHJygGXLgKioOsdCRlcKypCZtAsSCfDk/UPg46YEAPwvdS9OXy1C8w69MChc5OvPQdTn8/eX41n4OekYAOCNe6PxUK9Qe4RIVCV+fyBnxWuXHI1phHRNRE26BUHAf//7X2zcuBE7duxAmzZtatynb9+++PHHHy22bd26FT179jS/+fr27YvExEQ8++yzFm369etX6TFVKhVUqordNwqFwine0M4Sp9ORyQCdzjjM3GAQNxadDigrA8rLjX+LqbwcKC21WSwKna7uSbdWa4xDKjUONad62XfBOLS8U3MvBHq7mbdHBnvi9NUinLlWgpgOfJ1vVtvP36PpeXhh/XEAwNTb2yC2HyuVk3j4/YGcFa9dchTWXoeiTlR96qmnsHr1aqxZswYeHh7IyspCVlYWSktLzW3i4uIQGxtrvj9jxgxcvHgRs2fPxsmTJ7FixQosX74czz//vLnNM888g61bt2L+/Pk4deoU5s+fj99//x2zZs1qyNMjInIqpvW5B7S37M2ODDYWU2MF8/q5nFeK6asOQqMz4M7IALx8N0dnEBERNQWiJt2fffYZ8vPzMWjQIAQHB5tv69atM7fJzMxEWlqa+X6bNm2wZcsW7NixA127dsVbb72FJUuWmJcLA4B+/frh22+/xcqVK9G5c2ckJCRg3bp16N27d4OeHxGRszAYBOwxr8/tZ/EYK5jXX7FGh+lfHcS1Qg0igzyw5KFukElZlI6IiKgpEH14eU0SEhIqbBs4cCAOHz5c7X7jxo3DOEcpgkVE5OBOZBYgp7gcbkoZurVsZvFYZJCxpsG5a0Uo1xm4rFUt6Q0Cnvk2GScyC+DnrsSXk3vCXeUQJVWIiIioAfCbExERYfeNXu6+Yb4VkupgLzU81HLoDALOZxeJEZ5T++DXU/j95BUo5VJ8HtsTLZo5/qoYREREZDtMuomIyDyfu3/7itXJJRIJom70dnOIee18dyAd/9t1HgDw4bjO6H7LKAIiIiJq/Jh0ExE1cSXlOhy8cB1AxfncJhGmed0spma1pHM5mLvxbwDAM0Pa476uzUWOiIiIiMTApJuIqInbn5qLcr0Bzb1d0MbPrdI2pgrmp7KsW4+yqUvNLsYT3xyCziBgVJcQzBraXuyQiIiISCRMuomImrjdp43zuQeE+0EiqbyitqmCOZcNq1l+iRbTEg4gr0SLrqHe+HBc5ypfVyIiImr8mHQTETVx1c3nNgkPNCbdmfllyC/RNkhczkirN+DJNYdwPrsYIV5qfB7bA2qFTOywiIiISERMuomImrDM/FKcuVoEqQToF+ZbZTsPtQItmrkA4BDzqgiCgNc2/4M/z+bATSnD8kd7IcBDLXZYREREJDIm3URETZhpqbDOLbzh7aqstq1pvW4WU6vcij8vYO1faZBIgCUPdUNUsKfYIREREZEDYNJNRNSEmZLuAVVULb9ZJCuYV2nbySt4++cTAICXR0ZhSFSgyBERERGRo2DSTUTURBkMAvaY5nOHVz2f24QVzCt3MrMAM9cegSAAD90Wiml3tBE7JCIiInIgTLqJiJqofy4X4HqJFu4qObqGetfY3tTTfTqrEAaDYOfonEN2kQbTvzqI4nI9+oX54s37OrJSOREREVlg0k1E1ETtutHL3TfMFwpZzf8ctPZ1g1IuRXG5Hpeul9o7PIdXrgeeWJOMjLxStPVzw2cP97DqdSQiIqKmhd8OiIiaKNNSYdbM5wYAuUyK9gHuADjEXBAErD0nRXJ6PrxcFFj+aC94uSrEDouIiIgcEJNuIqImqFijw6GL1wFUvz73rSJYTA0A8Mn28zicI4VcKsGyR3qgjZ+b2CERERGRg2LSTUTUBO07nwOtXkCojwta+bpavV/UjWXDUppw0r3r9DUs2X4OADBvVBT6VrO+ORERERGTbiKiJsi0VFj/9v61Kvxl6uk+2YSHl/98LBMA0NvfgPE9W4gcDRERETk6Jt1ERE3QLvN8buuHlgP/Lht2IbsYZVq9zeNyBkcv5QEAOvmwgjsRERHVjEk3EVETc+l6Cc5fK4ZMKqn10Gh/dxV83JQwCMCZK0V2itBxlZTrcPqKcWh9S3cm3URERFQzJt1ERE3MnhtDy7uGesPLpXYVtyUSiXm97qZYwfx4RgEMAhDkqYKXUuxoiIiIyBkw6SYiamL+nc9t3VJht2rKFcyPpucBADq38BI3ECIiInIaTLqJiJoQvUHAnrP/FlGri6ZcwTz5xnzuzs2ZdBMREZF1mHQTETUhf2fkI79UCw+1HF3q2Fsb0YSHl//b0+0pbiBERETkNJh0ExE1IbtPG6uW3x7mB7msbv8EhAd6QCIBsovKca1QY8vwHFp2kQaXrpdCIgE6hjDpJiIiIusw6SYiakLM87nD6zafGwBclDK09nUD0LSGmB+7MbQ8zN8dHuraFaAjIiKipotJNxFRE1FYpsXhtOsAar8+962aYgXz5PR8AECXFt7iBkJEREROhUk3EVETse98LnQGAa19XRHq41qvYzXFCuam+dxdQ1lEjYiIiKzHpJuIqInYfcY4n7uuVctvFtnEKpgLgoCjN4aXdwn1FjUWIiIici5MuomImoj6rs99M9Pw8tNXCqE3CPU+nqNLyy1BXokWSpnU/IMDERERkTVETbp37dqFUaNGISQkBBKJBJs2baq2/aOPPgqJRFLh1qFDB3ObhISEStuUlZXZ+WyIiBxXem4JUrOLIZNK0DfMt97Ha+njCheFDBqdARdyim0QoWNLvjG0PDrEE0o5f68mIiIi64n6zaG4uBhdunTBJ598YlX7xYsXIzMz03xLT0+Hj48PHnjgAYt2np6eFu0yMzOhVqvtcQpERE7B1MvdvaW3TSpvS6UShJvmdWc2/iHmR28UUevKoeVERERUS3Ixn3zEiBEYMWKE1e29vLzg5fVvAZtNmzbh+vXrmDJlikU7iUSCoKAgm8VJROTsbDmf2yQqyANH0/OQklWAuzsH2+y4jujf+dwsokZERES149Rj5JYvX46hQ4eiVatWFtuLiorQqlUrtGjRAvfccw+OHDkiUoREROLT6Q3486zt5nObmCqYn2zkxdS0egOOZ3C5MCIiIqobUXu66yMzMxO//PIL1qxZY7E9MjISCQkJ6NSpEwoKCrB48WLcfvvtOHr0KNq3b1/psTQaDTQajfl+QYFx3VmtVgutVmu/k6gnU2yOHKNT0+sBuRyQyQCpyL9PyeWAWg0olca/xaRUAi4u9Y5Fe2NfbX3OR6EwxmEwAHwfVOlIWh4KynTwVMsRFehms8+M9v7GZcdOZRY06s+hfy4XQKMzwFMtR3NPpcW/DY35vKnx4vVLzorXLjkaa69FiSAIDlF2ViKRYOPGjRg9erRV7d977z0sXLgQly9fhlKprLKdwWBA9+7dMWDAACxZsqTSNm+88QbmzZtXYfuaNWvg6lq/tWyJiMT2S7oEv16SoauPAVMiDDY7brEWmHvQ+KPJ/Nt0UMtsdmiH8ucVCb47L0OElwFPRtvu9SMiIiLnVlJSgokTJyI/Px+enlWvbuKUPd2CIGDFihWYNGlStQk3AEilUvTq1Qtnzpypsk1cXBxmz55tvl9QUIDQ0FAMGzas2hdPbFqtFomJiYiJiYFCUf/CSHSLS5eA114D/PwAsa+DCxeAxESgY0fA33Zzcuvk8mXg2DGgc2cgJKTOh9HK5UgcOxYxGzZAodPV7SAFBUBODrBsGRAVVedYGruvvvgLQB7G9e+IkT1b2PTYi1N24kqhBm269kO3RlpkbPfGfwBk4M6uYRg51Dhiip+/5Mx4/ZKz4rVLjsY0QromTpl079y5E2fPnsW0adNqbCsIApKTk9GpU6cq26hUKqhUqgrbFQqFU7yhnSVOpyOTATqdcZi5QeTeLZ0OKCsDysuNf4upvBwoLbVZLAqdru5Jt1ZrjEMqNQ41pwryS7U4esk4H3lQZKDNPysigj1xpfAazl4rxW1tRf5ByE7+zjD+g9q9lW+F14+fv+TMeP2Ss+K1S47C2utQ1KS7qKgIZ8+eNd9PTU1FcnIyfHx80LJlS8TFxSEjIwOrVq2y2G/58uXo3bs3OnbsWOGY8+bNQ58+fdC+fXsUFBRgyZIlSE5Oxqeffmr38yEicjRJ53KgNwho6++GFs1sP10mKsgDu05fQ0qWdb/0OpsijQ6nrxoLxXVpwcrlREREVHuiJt0HDx7E4MGDzfdNQ7wnT56MhIQEZGZmIi0tzWKf/Px8rF+/HosXL670mHl5eXjssceQlZUFLy8vdOvWDbt27cJtt91mvxMhInJQpqXCBthwqbCbmSqYn2qkFcyPZ+RDEIAQLzUCPNVih0NEREROSNSke9CgQaiujltCQkKFbV5eXigpKalyn48++ggfffSRLcIjInJ6u8/Yfqmwm92cdAuCAIlEYpfnEcvR9DwAQJdGOl+diIiI7M+p1+kmIqKqXcwpRlpuCRQyCfq09bXLc7QLcIdMKkF+qRZXCjQ17+Bkjl7KA8Ckm4iIiOqOSTcRUSO160Yvd/eWzeCmss/AJpVchrZ+bgCAk41wXvfRdGMRui4tvMUNhIiIiJwWk24iokZq9+kb87nD7VtVPDLYuKReSiOb1321sAwZeaWQSIBOLKJGREREdcSkm4ioEdLqDUg6lwPAfvO5TSJN87ozG1dP97EbvdztA9zhbqeRAkRERNT4MekmImqEjqbnoVCjQzNXBTqE2LeXNrKRVjA3z+fm0HIiIiKqBybdRESNkGk+9+3t/CCT2reiuKmC+blrRdDqDXZ9roaUzMrlREREZANMuomIGiF7r899s+beLvBQyaHVCzh/rdjuz9cQBEEwLxfWlUk3ERER1QOTbiKiRia/RGtOGO+w83xuAJBIJDet19045nVfyClBQZkOSrnUfG5EREREdcGkm4iokdl7LhsGwbiGdoi3S4M8Z2Rw45rXbfrRomOIJxQy/lNJREREdcdvEkREjYxpPre9q5bfLCLIuGxYY6lgzvncREREZCtMuomIGhFBELDrdMPN5zaJujEEu7Gs1W2qXM753ERERFRfTLqJiBqRCzklyMgrhUImQe+2Pg32vOE3ku7L+WXIL9E22PPaQ7nOgH8uG3vsuVwYERER1ReTbiKiRsTUy92zlQ9clfIGe15PtQLNb8wfT7ni3L3dKVmFKNcZ4OWiQCtfV7HDISIiIifHpJuIqBExLRXWP7zh5nObRDaSCubJN4aWdwn1hkRi3zXOiYiIqPFj0k1E1EiU6wxIOpcDoGHnc5s0lgrm5vW5W3iJGwgRERE1Cky6iYgaiSNp11FcroevmxLRwZ4N/vyNpYL5UVYuJyIiIhti0k1E1EjsvrFU2B3t/SCVNvywaFMF89NXimAwCA3+/LZQWKbF2WtFAIDOLKJGRERENsCkm4iokTDP5xZhaDkAtPZzg1ImRZFGh4y8UlFiqK+/M/IhCEBzbxf4e6jEDoeIiIgaASbdRESNwPXichzLyAcA9G/f8EXUAEAhk6JdgDsA553XfTTd+BpyfW4iIiKyFSbdRESNwJ/nsiEIQESgBwI91aLFYa5g7qTzuv+dz80iakRERGQbTLqJiBqB3aeN87nF6uU2MVcwd9K1uo+algvjfG4iIiKyESbdREROThCEm9bnFmc+t4kzVzC/WlCGzPwySCVAx+bs6SYiIiLbYNJNROTkzl0rxuX8MijlUtzW2kfUWEwVzFOzi1Gm1YsaS20dvWSczx0e6AE3lVzkaIiIiKixYNJNROTkTL3ct7X2gYtSJmos/h4qNHNVwCAAZ68WiRpLbZnnc3NoOREREdkQk24iIidnWp9b7PncACCRSBBpGmLuZBXMzfO5WbmciIiIbIhJNxGRE9Po9Eg6lwNAvPW5bxXhhBXMDQaBlcuJiIjILph0ExE5scMX81Cq1cPPXWVerktspjhSnKiC+YWcYhSU6aBWSBEe6BivIxERETUOTLqJiJyYuWp5ez9IpRKRozGKDDYOLz+Z6TxJt2loeccQLyhk/KeRiIiIbEfUbxa7du3CqFGjEBISAolEgk2bNlXbfseOHZBIJBVup06dsmi3fv16REdHQ6VSITo6Ghs3brTjWRARiceR5nObhAe6QyIBsos0yC7SiB2OVY6mGyuXcz43ERER2ZqoSXdxcTG6dOmCTz75pFb7paSkIDMz03xr3769+bGkpCRMmDABkyZNwtGjRzFp0iSMHz8e+/fvt3X4RESiyinS4PhlY7J4RzvHSbpdlXK08nEFAKQ4STG1ZPN8bm9R4yAiIqLGR9SFSEeMGIERI0bUer+AgAB4e3tX+lh8fDxiYmIQFxcHAIiLi8POnTsRHx+PtWvX1idcIiKH8ue5HAiCcQ51gKda7HAsRAR54EJOCU5lFeJ2B/pBoDLlOgNOXDYWfevSgkXUiIiIyLaccuJat27dEBwcjCFDhmD79u0WjyUlJWHYsGEW24YPH469e/c2ZIhERHa367RxPveAcMeoWn4z87JhTlDB/FRWAcr1Bni7KtDyRg89ERERka2I2tNdW8HBwfj888/Ro0cPaDQafP311xgyZAh27NiBAQMGAACysrIQGBhosV9gYCCysrKqPK5Go4FG8++8w4IC45dErVYLrVZrhzOxDVNsjhyjU9PrAbkckMkAqci/T8nlgFoNKJXGv8WkVAIuLvWORXtjX219zkehMMZhMABN7H0gCAJ230i6+7Zp5nCfA+38jcnrqawCh4vtVocvGJdc69zcEzqdzqp9+PlLzozXLzkrXrvkaKy9Fp0q6Y6IiEBERIT5ft++fZGeno4FCxaYk24AkEgsK/gKglBh283ee+89zJs3r8L2rVu3wtXV8Xs9EhMTxQ6h8Ro3TuwIjLp3B8aOFTsKu0i0xXmlphpvTUhmCXClUA6FRED2yf3YclrsiCxdLQUAOU5dzsdPP2+BgxRWr9SWs1IAUriUXsOWLVtqtS8/f8mZ8folZ8VrlxxFSUmJVe2cKumuTJ8+fbB69Wrz/aCgoAq92levXq3Q+32zuLg4zJ4923y/oKAAoaGhGDZsGDw9PW0ftI1otVokJiYiJiYGCoVC7HAan0uXgNdeA/z8ALGvgwsXgMREoGNHwF/kocSXLwPHjgGdOwMhIXU+jFYuR+LYsYjZsAEKK3sXKygoAHJygGXLgKioOsfijFbuvQgcTUHvMD+MHtVD7HAq0BsELPxnG8q0BnToPRBt/NzEDqlKS5b8CaAY9w/qgcER1r2/+PlLzozXLzkrXrvkaEwjpGvi9En3kSNHEBwcbL7ft29fJCYm4tlnnzVv27p1K/r161flMVQqFVQqVYXtCoXCKd7QzhKn05HJAJ3OOMzcYBA3Fp0OKCsDysuNf4upvBwoLbVZLAqdru5Jt1ZrjEMqNQ41b0L+PJcLABgYHuCQ738FgIhADxy9lI9z2aUID/YWO6RKFZRpcT67GADQvbVvrV9Lfv6SM+P1S86K1y45CmuvQ1GT7qKiIpw9e9Z8PzU1FcnJyfDx8UHLli0RFxeHjIwMrFq1CoCxMnnr1q3RoUMHlJeXY/Xq1Vi/fj3Wr19vPsYzzzyDAQMGYP78+bjvvvuwefNm/P7779izZ0+Dnx8RkT2UafXYn2qch+yIRdRMIoKMSffJrEKM6BRc8w4iOH4pH4IAtGjmAj/3ij++EhEREdWXqEn3wYMHMXjwYPN90xDvyZMnIyEhAZmZmUhLSzM/Xl5ejueffx4ZGRlwcXFBhw4d8PPPP2PkyJHmNv369cO3336LV155Ba+++irCwsKwbt069O7du+FOjIjIjg5dvI4yrQEBHiqEB7qLHU6VTBXMU7Ict4J58qU8AFyfm4iIiOxH1KR70KBBEAShyscTEhIs7s+ZMwdz5syp8bjjxo3DOEcpgEVEZGO7zhirlvdv719tkUixRQZ5AABOZRWKHEnVjqbnAQC6tvAWNQ4iIiJqvJxynW4ioqZs9+lsAMCAcD+RI6lexI2kOy23BMUakWsRVOFoej4A9nQTERGR/TDpJiJyItcKNTiRaRyufXs7x066fd1V8PdQQRCA01ccr7c7K78MWQVlkEqAjs0dd6UKIiIicm61Hl6en5+PxMREXLhwARKJBG3atMHQoUMdemktIqLG4s+zxl7uDiGeTlH4KzLIA9cKNUjJKkS3ls3EDsfC0RvzucMDPeCqdPrFPIiIiMhB1epbxurVq/H0009XWI/My8sLy5Ytw4QJE2waHBERWbp5PrcziAzywO4z2Q45r9s8n5tDy4mIiMiOrB5efvjwYUyZMgWjR4/GkSNHUFpaipKSEhw8eBCjRo3CpEmTcPToUXvGSkTUpAmCgN1nbsznbu/YQ8tNTBXMTzlgBfOjrFxOREREDcDqnu6PP/4Yo0ePrlBRvHv37li1ahVKSkqwePFirFixwtYxEhERgJQrhbhWqIFaIUWP1o41VLsqETdVMBcEwWGqrRsMAo6ZiqixcjkRERHZkdU93X/++Scef/zxKh+fMWMG9uzZY5OgiIioIlPV8j5tfaGSy0SOxjrtAtwhk0qQV6LF1UKN2OGYnc8uRqFGB7VC6tBrnRMREZHzszrpvnz5MsLDw6t8PDw8HBkZGTYJioiIKnK2+dwAoFbI0MbPDQBwMtNxhpib5nN3au4FuYwLeRAREZH9WP1No6SkBGq1usrHVSoVysrKbBIUERFZKtPq8VdqLgDnmc9tEnljiHmKAxVTM8/n5tByIiIisrNaVS//7bff4OXlVeljeXl5toiHiIgqceBCLjQ6A4I81WgX4FzDoSODPPDTsUyHqmBu6ulmETUiIiKyt1ol3ZMnT672cUcpkENE1NiYqpb3b+/ndJ+1/1Ywd4ykW6PT48SNoe5cLoyIiIjszeqk22Aw2DMOIiKqxq7TN+ZzhzvPfG4TUwXzs1cLodUboBB5DvXJzEJo9QJ83JRo0cxF1FiIiIio8WP1GCIiB3e1oAynsgohkQB3tHOu+dwA0KKZC9xVcmj1AlKzi8UO59+h5S28nG7UABERETkfq5Pus2fP4tChQxbbtm3bhsGDB+O2227Du+++a/PgiIjo36HlHUO84OOmFDma2pNIJObebkeoYM753ERERNSQrE66X3jhBWzatMl8PzU1FaNGjYJSqUTfvn3x3nvvIT4+3g4hEhE1bbvNS4U5Xy+3SYQDVTBPNlUuZ9JNREREDcDqOd0HDx7EnDlzzPe/+eYbhIeH47fffgMAdO7cGR9//DFmzZpl8yCJiJoqg0HAnrOmImrON5/bJOpG0i12MbX8Ui3OXzMOcedyYURERNQQrO7pzs7ORosWLcz3t2/fjlGjRpnvDxo0CBcuXLBpcERETd3JrAJkF5XDVSlDj1bNxA6nziJuVDAXu6f770v5AICWPq5OOVSfiIiInI/VSbePjw8yMzMBGCuZHzx4EL179zY/Xl5eDkEQbB8hEVETZprP3betL5Ry5619aRpenpFXivxSrWhxHOXQciIiImpgVn+DGzhwIN566y2kp6cjPj4eBoMBgwcPNj9+4sQJtG7d2h4xEhE1WY1hPjcAeLkoEOKlBgCcviJeb3fyTZXLiYiIiBqC1XO633nnHcTExKB169aQSqVYsmQJ3NzczI9//fXXuPPOO+0SJBFRU1RarseB1OsAnHN97ltFBnvicn4ZTmUWoFdrnwZ/fkEQzEl3V/Z0ExERUQOxOulu06YNTp48iRMnTsDf3x8hISEWj8+bN89izjcREdXP/tQclOsNaO7tgrZ+bjXv4OAigjzwx6mrohVTyyoow7VCDWRSCTqEsKebiIiIGobVSTcAKBQKdOnSpdLHqtpORER1Y5rP3b+9HyQSicjR1F+kyBXMTetzRwR6wEUpEyUGIiIianqsTrqnTp1a6XYvLy9ERETgkUcegbu7u80CIyJq6v6dz+38Q8sBIPKmCuaCIDT4DwnJ6cbK5SyiRkRERA3J6kJq169fr/SWnJyM1157DRERETh//rw9YyUiajKy8stw+koRJBLg9na+YodjE2393aCQSVCk0eHS9dIGf/6j5vncHFpOREREDcfqnu6NGzdW+VhpaSliY2Px0ksv4bvvvrNJYERETZmpl7tzC294uzaO9aQVMinC/N1xKqsQKVmFCPVxbbDn1hsE/J3Bnm4iIiJqeDZZ9NXFxQUvvvgi9u3bZ4vDERE1eab53AOcfKmwW0UFG4eYn8oqaNDnPX+tCEUaHVyVMrQP8GjQ5yYiIqKmzSZJNwD4+PggLy/PVocjImqyDAYBe86aiqg1jvncJhEiFVMzLRXWsbkXZFLnL0pHREREzsNmSffevXsRFhZmq8MRETVZJzILkFtcDjelDN1aeosdjk2JVcH86KU8AFyfm4iIiBqe1XO6jx07Vun2/Px8HDhwAO+++y7efvttmwVGRNRU7boxn7tvmB8UMpv9NuoQTBXMU7OLUabVQ61omKW7jl26MZ+7hXeDPB8RERGRidXf5rp27Ypu3bqha9euFreBAwdi/vz5ePHFFzFjxoxaPfmuXbswatQohISEQCKRYNOmTdW237BhA2JiYuDv7w9PT0/07dsXv/32m0WbhIQESCSSCreysrJaxUZEJJbdp2/M5w5vXPO5ASDQUwVvVwX0BgFnrxY1yHOWafU4mWmcQ96FlcuJiIiogVnd052amlrpdi8vL3h7e9fpyYuLi9GlSxdMmTIF999/f43td+3ahZiYGLz77rvw9vbGypUrMWrUKOzfvx/dunUzt/P09ERKSorFvmq1uk4xEhE1pGKNDgcv5gJofPO5AUAikSAi0AP7U3ORklWIjs3tnwSfzCyAVi/Az12J5t4udn8+IiIioptZnXS3atXK5k8+YsQIjBgxwur28fHxFvffffddbN68GT/++KNF0i2RSBAUFGSrMImIGsz+1Bxo9QJaNHNBa9+GW1KrIUUFe2J/am6DVTA3rc/dpYU3JBIWUSMiIqKGZXXS7YgMBgMKCwvh4+Njsb2oqAitWrWCXq9H165d8dZbb1kk5bfSaDTQaDTm+wUFxi+CWq0WWq3WPsHbgCk2R47Rqen1gFwOyGSAVOR5tXI5oFYDSqXxbzEplYCLS71j0d7YV1uf81EojHEYDEAjeR/sOHUVAHB7mC90Op3I0dhHO3/jjwknMwsa5PPrSNp1AEDHEA+bPR8/f8mZ8folZ8VrlxyNtdeiRBAEwc6xWEUikWDjxo0YPXq01ft8+OGHeP/993Hy5EkEBAQAAPbt24ezZ8+iU6dOKCgowOLFi7FlyxYcPXoU7du3r/Q4b7zxBubNm1dh+5o1a+Dq2jh7mojIMb2bLMOVUgmmhOvR1dchPp5t7kIh8NFxOTwVAt7qqbf7871zRIarZRLMiNIjyrtxvqZERETU8EpKSjBx4kTk5+fD09OzynZOm3SvXbsW06dPx+bNmzF06NAq2xkMBnTv3h0DBgzAkiVLKm1TWU93aGgosrOzq33xxKbVapGYmIiYmBgoFAqxw2l8Ll0CXnsN8PMDxL4OLlwAEhOBjh0Bf5Hn+V6+DBw7BnTuDISE1PkwWrkciWPHImbDBijq2qNbUADk5ADLlgFRUXWOxVEcSc/D+M//gkwqwf6XBsHLpXG+r4s1OnR9+w8AwP6XBsHHTWm358ov1aLnu9sBAAfiBsPb1TavKT9/yZnx+iVnxWuXHE1BQQH8/PxqTLqdcnj5unXrMG3aNHz//ffVJtwAIJVK0atXL5w5c6bKNiqVCiqVqsJ2hULhFG9oZ4nT6chkgE5nHGZuMIgbi04HlJUB5eXGv8VUXg6UltosFoVOV/ekW6s1xiGVGoeaOzFBELDo97MAgPu7N4efZ+MdZeOtUKCVrysu5pTgXE4pAr3d7PZcJy/kAQBa+7rC38v2ryk/f8mZ8folZ8VrlxyFtddhnSaq5uXl4csvv0RcXBxyc41Vdg8fPoyMjIy6HK5W1q5di0cffRRr1qzB3XffXWN7QRCQnJyM4OBgu8dGRFRXu89kY9/5XChlUjwzNFzscOwuItADAHAqs9Cuz2MuohbqbdfnISIiIqpKrXu6jx07hqFDh8LLywsXLlzAf/7zH/j4+GDjxo24ePEiVq1aZfWxioqKcPbsWfP91NRUJCcnw8fHBy1btkRcXBwyMjLMx1y7di1iY2OxePFi9OnTB1lZWQAAFxcXeHkZl52ZN28e+vTpg/bt26OgoABLlixBcnIyPv3009qeKhFRgxAEAR/+Zlzm8JE+rZrEslaRwZ7YeuIKUrLsm3Qnp+cDMFYuJyIiIhJDrXu6Z8+ejUcffRRnzpyxWPt6xIgR2LVrV62OdfDgQXTr1s1cWXz27Nno1q0bXnvtNQBAZmYm0tLSzO3/97//QafT4amnnkJwcLD59swzz5jb5OXl4bHHHkNUVBSGDRuGjIwM7Nq1C7fddlttT5WIqEH8cjwLf2fkw00pw1ODw8QOp0FEBt3o6bbjsmGCICCZPd1EREQkslr3dB84cAD/+9//Kmxv3ry5uefZWoMGDUJ1ddwSEhIs7u/YsaPGY3700Uf46KOPahUHEZFYdHoDFmw19nJP798Wvu4V60s0RhE3ku7TV4qgNwiQSW2/fnZmfhmyizSQSyXoEOK4RTGJiIiocat1T7darTavY32zlJQU+ItdVZmIyMmsP3wJ568Vo5mrAtP7txE7nAbT2tcNKrkUpVo90nJL7PIcpvnckcEeUCtkdnkOIiIioprUOum+77778Oabb5oXApdIJEhLS8NLL72E+++/3+YBEhE1VmVaPeJ/N66s8NTgdvBQN51KrDKpBOE3iqml2GmIefKlPABAZ87nJiIiIhHVOulesGABrl27hoCAAJSWlmLgwIFo164dPDw88M4779gjRiKiRmn1vovIzC9DsJcaj/RpJXY4Dc40r/uknSqYm3q6uzLpJiIiIhHVek63p6cn9uzZgz/++AOHDx+GwWBA9+7da1wvm4iI/lWk0WHpjnMAgFlD2zfJ4c+med32qGCuNwj4+9KNyuUsokZEREQiqnXSbXLnnXfizjvvtGUsRERNxpe7zyO3uBxt/d1wf/cWYocjiqhgY3Eze1QwP3etCMXlergqZWgX4G7z4xMRERFZq9ZJ95tvvlnt46blvoiIqHI5RRp8ses8AOC5mAjIZbWe6dMomHq6L+aWoKRcB1dlnX8HrsC0VFin5l52qYxOREREZK1af8PZuHGjxX2tVovU1FTI5XKEhYUx6SYiqsHSHedQXK5Hx+aeGNExSOxwROPnroKfuwrZRRqcvlKErjYcBm6ez82h5URERCSyWifdR44cqbCtoKAAjz76KMaMGWOToIiIGqvLeaX4et9FAMALwyMhbeK9sJFBHthzVoOUrALbJt03KpdzPjcRERGJzSZjGj09PfHmm2/i1VdftcXhiIgarcW/n0G5zoA+bX0woL2f2OGIzh4VzMu0epy6cTwm3URERCQ2m00kzMvLQ35+vq0OR0TU6Jy9WoTvD6UDAObcFQmJpGn3cgP2qWD+z+UC6AwC/NxVCPFS2+y4RERERHVR6+HlS5YssbgvCAIyMzPx9ddf46677rJZYEREjc2ixBQYBGBoVCC6t2wmdjgO4eYK5oIg2OSHiH/nc3vxhw0iIiISXa2T7o8++sjivlQqhb+/PyZPnoy4uDibBUZE1Jj8fSkfW/7OgkQCvDA8QuxwHEa7AHdIJcD1Ei2uFWoQ4Fn/nmnzfO4W3vU+FhEREVF91TrpTk1NtUccRESN2ge/nQIAjO7a3DykmgC1QoY2fm44d60YJ7MKbZN03+jp5nxuIiIicgRNc3FYIqIGtPdcNnafyYZCJsGzQ8PFDsfhRAYZh5inZBXU+1h5JeW4kFMCAOjcwqvexyMiIiKqL6t6useOHWv1ATds2FDnYIiIGhtBEPDBrykAgIdua4mWvq4iR+R4IoM88PPfmeaK4/Vx9JKxoGcbPzd4uyrrfTwiIiKi+rIq6fbyYm8BEVFdJJ64guT0PLgoZHj6znZih+OQTMPtT9mggrl5aDl7uYmIiMhBWJV0r1y50t5xEBE1OnqDgAVbjb3cU25vjQAPLl9VGVMF87NXi6DVG6CQ1X3mE+dzExERkaPhnG4iIjvZnJyB01eK4OWiwOMDw8QOx2E193aBm1KGcr0BF7KL63wcQRD+rVzOpJuIiIgcRK2rlwPA//3f/+G7775DWloaysvLLR47fPiwTQIjInJm5ToDFiWeBgDMGBgGLxeFyBE5LqlUgoggDxxOy8PJrEK0D6xbdfeMvFJkF5VDLpUg+kbvOREREZHYat3TvWTJEkyZMgUBAQE4cuQIbrvtNvj6+uL8+fMYMWKEPWIkInI6a/9Kw6XrpQjwUOHRfq3FDsfhRdiggvnRdGMRtahgT6gVMpvERURERFRftU66ly5dis8//xyffPIJlEol5syZg8TERMycORP5+fn2iJGIyKmUlOvw8R9nAQD/HdIeLkomgDWJCr5RTK0eFcz/HVrOImpERETkOGqddKelpaFfv34AABcXFxQWGr8gTZo0CWvXrrVtdERETmjlnxeQXaRBSx9XTOgZKnY4TiEisP4VzJPNlcu9bRARERERkW3UOukOCgpCTk4OAKBVq1bYt28fACA1NRWCINg2OiIiJ5NXUo5lO88BAJ4bFg6lnPUqrRF5Y3h5Rl4pCsq0td5fpzfg7xtrdHdlETUiIiJyILX+NnjnnXfixx9/BABMmzYNzz77LGJiYjBhwgSMGTPG5gESETmTz3aeQ2GZDpFBHhjVOUTscJyGl6sCwV7GJdVO16G3++y1IpRq9XBXydHW393W4RERERHVmdXVyzdt2oRRo0bh888/h8FgAADMmDEDPj4+2LNnD0aNGoUZM2bYLVAiIkd3paAMCX9eAAC8MDwCUqlE3ICcTGSQBzLzy3AyqxA9W/vUal/T+tydmntBxtediIiIHIjVSfe4cePg5+eHyZMnY+rUqYiIiAAAjB8/HuPHj7dbgEREzmLJtjPQ6Azo0aoZ7owMEDscpxMR5IntKdfqVME8+Ublcq7PTURERI7G6uHlaWlp+O9//4uNGzciOjoad9xxB1auXIni4mJ7xkdE5BQu5hRj3YF0AMCc4RGQSNjbWluRQXWvYG7q6e7KyuVERETkYKxOukNCQvDyyy/j9OnT+OOPPxAWFoaZM2ciODgY06dPR1JSkj3jJCJyaIsST0NnEDAowh+92/qKHY5TiryxbFhKVmGtCnOWluuRcsWYqLOnm4iIiBxNncrqDhw4EF999RUyMzOxaNEinDx5EnfccQc6dOhQq+Ps2rULo0aNQkhICCQSCTZt2lTjPjt37kSPHj2gVqvRtm1bLFu2rEKb9evXIzo6GiqVCtHR0di4cWOt4iIiqo0TlwuwOfkyAOD5YREiR+O82vq5Qy6VoFCjQ0ZeqdX7/XM5H3qDgAAPFYI81XaMkIiIiKj26rWWjbu7OwYPHozBgwfD29sbp0+frtX+xcXF6NKlCz755BOr2qempmLkyJHo378/jhw5grlz52LmzJlYv369uU1SUhImTJiASZMm4ejRo5g0aRLGjx+P/fv31yo2IiJrLdiaAgC4p3MwOjbn8Oa6UsqlaBdgrDyeUosK5ub1uUO9OayfiIiIHI7VhdRuVlJSgu+//x4rVqzAnj170LZtW8yePRuPPvporY4zYsQIjBgxwur2y5YtQ8uWLREfHw8AiIqKwsGDB7FgwQLcf//9AID4+HjExMQgLi4OABAXF4edO3ciPj4ea9eurVV8REQ1OXghF3+cugqZVILn2MtdbxFBHjiVVYhTWYUYEhVo1T5HuT43ERERObBaJd1//vknVqxYge+//x46nQ5jx47F77//jsGDB9srPgtJSUkYNmyYxbbhw4dj+fLl0Gq1UCgUSEpKwrPPPluhjSlRr4xGo4FGozHfLygwVs7VarXQarW2OwEbM8XmyDE6Nb0ekMsBmQyQ1mtQSP3J5YBaDSiVxr/FpFQCLi71jkV7Y19tfc5HoTDGYTAAIrwPBEHA+7+cBACM6x6CFl5Kvh/rqb2/GwDgxOV8q1/L5LTrAIAOwe4N9vrz85ecGa9fcla8dsnRWHstWv1tNzw8HOfOnUO3bt0wf/58TJw4EV5eDTuMMisrC4GBlj0fgYGB0Ol0yM7ORnBwcJVtsrKyqjzue++9h3nz5lXYvnXrVri6utomeDtKTEwUO4TGa9w4sSMw6t4dGDtW7CjsItEW55Waarw1sH+uS3DwogwKiYBow0Vs2XKxwWNobAquSwDIcOhsJrZsuVRj+yItkH7d+E9Z5j/7sSXFzgHegp+/5Mx4/ZKz4rVLjqKkpMSqdlYn3XfddRemTZuGLl261DkoW7h1vp6pwu3N2ytrU908v7i4OMyePdt8v6CgAKGhoRg2bBg8PT1tEbZdaLVaJCYmIiYmBgqFQuxwGp9Ll4DXXgP8/ACxr4MLF4DERKBjR8DfX9xYLl8Gjh0DOncGQkLqfBitXI7EsWMRs2EDFDpd3Q5SUADk5ADLlgFRUXWOpS4MBgGffbYPQCFi+7XGxLs4tNwWuuWX4fNTu3BNI8WQYTFQyasfZbLrTDZw8DDa+rli3L13NFCU/Pwl58brl5wVr11yNKYR0jWxOulesmRJnYOxlaCgoAo91levXoVcLoevr2+1bW7t/b6ZSqWCSqWqsF2hUDjFG9pZ4nQ6Mhmg0xmHmRsM4sai0wFlZUB5ufFvMZWXA6WlNotFodPVPenWao1xSKXGoeYN6Iejl3EqqxAeKjmevjOc70EbCfWVw1MtR0GZDmnXNYgOqf4Hr+OXiwAAXUObifL/gJ+/5Mx4/ZKz4rVLjsLa61Dkiaq107dv3wrDSbZu3YqePXuaT7iqNv369WuwOImocdPqDVh0o2L5fwa0RTM3pcgRNR4SiQSRwcZE+1RWzb8eH72UB4DrcxMREZHjEjXpLioqQnJyMpKTkwEYlwRLTk5GWloaAOOw79jYWHP7GTNm4OLFi5g9ezZOnjyJFStWYPny5Xj++efNbZ555hls3boV8+fPx6lTpzB//nz8/vvvmDVrVkOeGhE1Yt8fvIQLOSXwdVNi2h1txA6n0YkM8gBQ87JhgiDg6E3LhRERERE5IlGT7oMHD6Jbt27o1q0bAGD27Nno1q0bXnvtNQBAZmamOQEHgDZt2mDLli3YsWMHunbtirfeegtLliwxLxcGAP369cO3336LlStXonPnzkhISMC6devQu3fvhj05ImqUyrR6LN52GgDw9J3t4KYSuZp8IxQZZOzpPllD0n3peilyisuhkEkQFezREKERERER1Zqo3xYHDRpkLoRWmYSEhArbBg4ciMOHD1d73HHjxmGco1SdJqJG5au9F3ClQIPm3i6Y2Lul2OE0ShHmnu7qh5ebhpZHB3tCJZfZOywiIiKiOrEq6a5NEbWZM2fWORgiIkdWUKbFZzvPAQBmDW3PRM9OTEn3lQINrheXVzlnnkPLiYiIyBlYlXR/9NFHVh1MIpEw6SaiRuuLXeeRV6JFuwB3jO3eQuxwGi13lRyhPi5Izy3FqaxC9A3zrbTd0fR8AECXFt4NGB0RERFR7ViVdKempto7DiIih3atUIPle4yfhc8Pi4BMKhE5osYtMsjzRtJdUGnSrdMb8HfGjaSbPd1ERETkwJxqyTAiIrF8uv0sSsr16BLqjeEdAsUOp9GrqYL5matFKNXq4aGSo62fW0OGRkRERFQrdSqkdunSJfzwww9IS0tDeXm5xWOLFi2ySWBERI4iPbcE3+y/CACYMzwCEgl7ue2tpgrmpvncnUO9IOWoAyIiInJgtU66t23bhnvvvRdt2rRBSkoKOnbsiAsXLkAQBHTv3t0eMRIRiSr+9zPQ6gXc3s4Xt7fzEzucJsFUTO10ViEMBqFCYm2qXM753EREROToaj28PC4uDs899xyOHz8OtVqN9evXIz09HQMHDsQDDzxgjxiJiERz+kohNh65BAB4YXikyNE0Ha19XaGSS1Gq1SMtt6TC48npnM9NREREzqHWSffJkycxefJkAIBcLkdpaSnc3d3x5ptvYv78+TYPkIhITAt+S4FBAO7qEISuTPAajFwmRftAdwDAqVuGmJeU63D6inEb/58QERGRo6t10u3m5gaNRgMACAkJwblz58yPZWdn2y4yIiKRHUm7jq0nrkAqAZ4fHi52OE2OaV73qawCi+3/XC6A3iAgyFONQE+1GKERERERWa3Wc7r79OmDP//8E9HR0bj77rvx3HPP4e+//8aGDRvQp08fe8RIRCSKD39LAQCM7d4C7QI8RI6m6amqgrmpiFqXUK+GDomIiIio1mqddC9atAhFRUUAgDfeeANFRUVYt24d2rVrh48++sjmARIRiWHPmWzsPZcDpUyKWUPbix1Ok/RvT7dl0p1sTrq9GzgiIiIiotqrddLdtm1b89+urq5YunSpTQMiIhKbIAj44LdTAICJvVuiRTNXkSNqmkwVzC/kFKO0XA8XpQwAK5cTERGRc6n1nO62bdsiJyenwva8vDyLhJyIyFn9ejwLxy7lw1Upw9N3thM7nCbL30MFP3clBAHmwmk5RRqk55YCADq14PByIiIicny1TrovXLgAvV5fYbtGo0FGRoZNgiIiEotOb8CCrca53NPvaAM/d5XIETVtEbfM6z52ybhUWJi/GzzVCtHiIiIiIrKW1cPLf/jhB/Pfv/32G7y8/u1h0Ov12LZtG1q3bm3T4IiIGtqGIxk4d60Y3q4KTB/A0Ttiiwj0xJ9nc3DyRgVzzucmIiIiZ2N10j169GgAgEQiMa/TbaJQKNC6dWssXLjQpsERETWkMq0ei38/AwB4clAYe1IdQGSwZU+3aT431+cmIiIiZ2F10m0wGAAAbdq0wYEDB+Dn52e3oIiIxPDN/jRk5JUiyFON2L6txQ6H8O+yYaeyCiEIwr/LhbGIGhERETmJWlcvT01NtUccRESiKtLo8On2swCAZ4a2h1ohEzkiAoD2AR6QSoDc4nIcTruO6yVaKGVScw84ERERkaOrdSE1ANi5cydGjRqFdu3aoX379rj33nuxe/duW8dGRNRglu9ORW5xOdr4ueGBHi3EDoducFHK0NrXDQDw7V/pAICoEE+o5PxRhIiIiJxDrZPu1atXY+jQoXB1dcXMmTPx9NNPw8XFBUOGDMGaNWvsESMRkV3lFpfji93nAQCzY8Ihl9Xp90iyE1Ov9s9/ZwIAunKpMCIiInIitR5e/s477+CDDz7As88+a972zDPPYNGiRXjrrbcwceJEmwZIRGRvn+04iyKNDtHBnri7U7DY4dAtIgI9seXvLJSUG5erZOVyIiIicia17s45f/48Ro0aVWH7vffey/neROR0MvJK8VXSRQDAnLsiIJVKRI6IbnXr/G0m3URERORMap10h4aGYtu2bRW2b9u2DaGhoTYJioioobz90wmU6wzo3cYHA8P9xQ6HKmGqYA4AHmo52tyY401ERETkDKweXj516lQsXrwYzz33HGbOnInk5GT069cPEokEe/bsQUJCAhYvXmzPWImIbGrn6Wv45XgWZFIJ5t3XARIJe7kdUWgzV7gqZSgp16NLC2+ORiAiIiKnYnXS/dVXX+H999/HE088gaCgICxcuBDfffcdACAqKgrr1q3DfffdZ7dAiYhsSaPT4/XNxwEAj/ZrjcggT5EjoqpIpRKEB3ogOT0PXUJZRI2IiIici9VJtyAI5r/HjBmDMWPG2CUgIqKG8PnO87iQU4IADxVmDW0vdjhUg4duC0V2kQZjujUXOxQiIiKiWqlV9XIOvSSixiA9twSfbD8LAHj57ih4qBUiR0Q1mdCrJSb0ail2GERERES1VqukOzw8vMbEOzc3t14BERHZ27wfT0CjM6BvW1/c2yVE7HCIiIiIqBGrVdI9b948eHnZdj7d0qVL8eGHHyIzMxMdOnRAfHw8+vfvX2nbRx99FF999VWF7dHR0fjnn38AAAkJCZgyZUqFNqWlpVCr1TaNnYicz7aTV/D7ySuQSyV4k8XTiIiIiMjOapV0P/jggwgICLDZk69btw6zZs3C0qVLcfvtt+N///sfRowYgRMnTqBly4rDCBcvXoz333/ffF+n06FLly544IEHLNp5enoiJSXFYhsTbiIq0+rxxo/GH+im3dEG7QM9atiDiIiIiKh+rF6n2x69QYsWLcK0adMwffp0REVFIT4+HqGhofjss88qbe/l5YWgoCDz7eDBg7h+/XqFnm2JRGLRLigoyOaxE5Hz+WzHOaTnliLIU42ZQ1g8jYiIiIjsr07Vy22hvLwchw4dwksvvWSxfdiwYdi7d69Vx1i+fDmGDh2KVq1aWWwvKipCq1atoNfr0bVrV7z11lvo1q1blcfRaDTQaDTm+wUFBQAArVYLrVZr7Sk1OFNsjhyjU9PrAbkckMkAqdW/T9mHXA6o1YBSafxbTEol4OJS71i0N/bV1ud8FApjHAYDUMP74GJuCT7beQ4AMHdEOJRSge8dqjN+/pIz4/VLzorXLjkaa69FiWDrbNpKly9fRvPmzfHnn3+iX79+5u3vvvsuvvrqqwrDw2+VmZmJ0NBQrFmzBuPHjzdv37dvH86ePYtOnTqhoKAAixcvxpYtW3D06FG0b195z9Ybb7yBefPmVdi+Zs0auLq61vEMichRCALwv1NSnMyTIsLLgCeiDOBUbiIiIiKqj5KSEkycOBH5+fnw9PSssp3IXWYVh60LgmDVUPaEhAR4e3tj9OjRFtv79OmDPn36mO/ffvvt6N69Oz7++GMsWbKk0mPFxcVh9uzZ5vsFBQUIDQ3FsGHDqn3xxKbVapGYmIiYmBgoFFzyyOYuXQJeew3w8wPEvg4uXAASE4GOHQF/f3FjuXwZOHYM6NwZCKl75W+tXI7EsWMRs2EDFDpd3Q5SUADk5ADLlgFRUVU2SzxxFSf3JUMhk2DJ5P5o6+9Wx6iJjPj5S86M1y85K1675GhMI6RrIlrS7efnB5lMhqysLIvtV69eRWBgYLX7CoKAFStWYNKkSVAqldW2lUql6NWrF86cOVNlG5VKBZVKVWG7QqFwije0s8TpdGQyQKczDjM3GMSNRacDysqA8nLj32IqLwdKS20Wi0Knq3vSrdUa45BKjUPNK1FSrsM7vxhHzjw2oC0iQrzrGClRRfz8JWfG65ecFa9dchTWXoeiTVRVKpXo0aMHEhMTLbYnJiZaDDevzM6dO3H27FlMmzatxucRBAHJyckIDg6uV7xE5Jw+3X4WGXmlaO7tgqcHs3gaERERETUsUYeXz549G5MmTULPnj3Rt29ffP7550hLS8OMGTMAGId9Z2RkYNWqVRb7LV++HL1790bHjh0rHHPevHno06cP2rdvj4KCAixZsgTJycn49NNPG+SciMhxnLtWhM93nQcAvDYqGi5KmcgREREREVFTI2rSPWHCBOTk5ODNN99EZmYmOnbsiC1btpirkWdmZiItLc1in/z8fKxfvx6LFy+u9Jh5eXl47LHHkJWVBS8vL3Tr1g27du3CbbfdZvfzISLHIQgC3vjhH2j1AgZH+GNYdPXTVoiIiIiI7EH0QmpPPvkknnzyyUofS0hIqLDNy8sLJSUlVR7vo48+wkcffWSr8IjISW35Owu7z2RDKZfijXs7WFWgkYiIiIjI1kRefJiIyPaKNTq89dMJAMATA8PQypfVyomIiIhIHEy6iajRWbLtDLIKyhDq44InBoWJHQ4RERERNWFMuomoUTlzpRDL96QCAObd2wFqBYunEREREZF4mHQTUaMhCAJe3XwcOoOAoVGBuDOSxdOIiIiISFxMuomo0fjh6GXsO58LlVyK10dFix0OERERERGTbiJqHArLtHjn55MAgKcHt0Ooj6vIERERERERMekmokYi/vczuFqoQWtfVzw2sK3Y4RARERERAXCAdbqJiOrr1PVyJOzNAgDMu68jVHIWTyMiIiIix8CebiJyagKAV//Khd4gYETHIAwM9xc7JCIiIiIiMybdROTUNgR3wYFrGrgoZHj1HhZPIyIiIiLHwqSbiJxWvkyJ99oNAwDMHNIeId4uIkdERERERGSJSTcROa1FQX2QrXJHmKcc0+5oI3Y4REREREQVMOkmIqd0XOmDr/06AQDeus0HSjk/zoiIiIjI8fBbKhE5HQOAV317wyCRYlTW3+gXxGHlREREROSYmHQTkdP53r0djqj94aYvx8tnfhM7HCIiIiKiKjHpJiKnkidV4n2f7gCAZ7P2I0hTKHJERERERERVY9JNRE7lg2bdcF2mRnj5dUy+dkzscIiIiIiIqsWkm4icxlGlL9Z6hAMA3srZDwUMIkdERERERFQ9Jt1E5BT0kOBVv94QJBKMKTqH3mVXxQ6JiIiIiKhGTLqJyCl869EOx1R+8DCUIy73kNjhEBERERFZhUk3ETm8HKkKHzQzFk+bfT0ZAfoykSMiIiIiIrIOk24icngf+HRHvkyFaE0uJhWkiB0OEREREZHVmHQTkUM7pPLDOo/2AIzF0+QQRI6IiIiIiMh6TLqJyGHpIcGrvn0AAA8UnkUPzTWRIyIiIiIiqh0m3UTksFZ7hOOEygeeeg1eYvE0IiIiInJCTLqJyCFdk6qxoFk3AMAL14/A16AROSIiIiIiotpj0k1EDuk9nx4olCnRSZONiYVnxA6HiIiIiKhOmHQTkcP5SxWADR5hkAgC3sreDxmLpxERERGRkxI96V66dCnatGkDtVqNHj16YPfu3VW23bFjByQSSYXbqVOnLNqtX78e0dHRUKlUiI6OxsaNG+19GkRkI1pI8KpfbwDAg4Vn0LU8R+SIiIiIiIjqTtSke926dZg1axZefvllHDlyBP3798eIESOQlpZW7X4pKSnIzMw039q3b29+LCkpCRMmTMCkSZNw9OhRTJo0CePHj8f+/fvtfTpEZANfeUYiRdkMzfRlmHP9iNjhEBERERHVi6hJ96JFizBt2jRMnz4dUVFRiI+PR2hoKD777LNq9wsICEBQUJD5JpPJzI/Fx8cjJiYGcXFxiIyMRFxcHIYMGYL4+Hg7nw0R1dcVmQvim3UBALyYexjNWDyNiIiIiJycXKwnLi8vx6FDh/DSSy9ZbB82bBj27t1b7b7dunVDWVkZoqOj8corr2Dw4MHmx5KSkvDss89atB8+fHi1SbdGo4FG8++X+4KCAgCAVquFVqu19pQanCk2R47Rqen1gFwOyGSAVOSZGHI5oFYDSqXxbzEplYCLS71j0d7YV3vTMd7y6YUiqRJdNNkYU3bB4rFKKRTGOAwGgO8DakD8/CVnxuuXnBWvXXI01l6Lon17z87Ohl6vR2BgoMX2wMBAZGVlVbpPcHAwPv/8c/To0QMajQZff/01hgwZgh07dmDAgAEAgKysrFodEwDee+89zJs3r8L2rVu3wtXVtban1uASExPFDqHxGjdO7AiMuncHxo4VOwq7SLxxXmfyJfjphAwSCIjp6Y1f3cdbf5DUVOONqIHx85ecGa9fcla8dslRlJSUWNVO5C4zQCKRWNwXBKHCNpOIiAhERESY7/ft2xfp6elYsGCBOemu7TEBIC4uDrNnzzbfLygoQGhoKIYNGwZPT89anU9D0mq1SExMRExMDBQKhdjhND6XLgGvvQb4+QFiXwcXLgCJiUDHjoC/f50OUSBRYJ86EEH6EkSU50EFQ91iuXwZOHYM6NwZCAmp2zFg7OFOHDsWMRs2QNAZsCRoBKDwwsTCM3h8y0HrDlJQAOTkAMuWAVFRdY6FqLb4+UvOjNcvOSteu+RoTCOkayJa0u3n5weZTFahB/rq1asVeqqr06dPH6xevdp8PygoqNbHVKlUUKlUFbYrFAqneEM7S5xORyYDdDrjMHNDHRNUW9HpgLIyoLzc+HctXZS7Y1JgDNIUHgAAmWBAO20+Omhy0aHceIvW5MJTsGKITHk5UFpa51hupdDpsMItAucUXvDVl2JO7mEoDFYeV6s1xiGVGoeaEzUwfv6SM+P1S86K1y45CmuvQ9GSbqVSiR49eiAxMRFjxowxb09MTMR9991n9XGOHDmC4OBg8/2+ffsiMTHRYl731q1b0a9fP9sETuRk/lE2w+TAociWu8BXXwoBEuTK1EhRNkOKshk2IMzctqW2EB3Lc9BBk4voG8l4gL7MrvFlylyw2LszACAu9xC8DOV2fT4iIiIiooYk6vDy2bNnY9KkSejZsyf69u2Lzz//HGlpaZgxYwYA47DvjIwMrFq1CoCxMnnr1q3RoUMHlJeXY/Xq1Vi/fj3Wr19vPuYzzzyDAQMGYP78+bjvvvuwefNm/P7779izZ48o50gkpn3qQPwncDAKpUpEanKx6so2+OtLkSVzxT9KH/yj8jH/N0PujjSFB9IUHtji1tp8DH9dCTreSMA7aHLRQV2EUABVT9ionfe8u6NEqkDPsqsYW3TeRkclIiIiInIMoibdEyZMQE5ODt58801kZmaiY8eO2LJlC1q1agUAyMzMtFizu7y8HM8//zwyMjLg4uKCDh064Oeff8bIkSPNbfr164dvv/0Wr7zyCl599VWEhYVh3bp16N27d4OfH5GYtrqG4mn/ASiXynBb2RV8ceUPeBmMw8eD9SUILi3B0NJL5vbXpSqcUDbDP0ofHFf54h9lM5xXeOGa3BXb5a7Y7trC2DBwEDw6T0aH0mx0kBSbk/EwbT7kEGoV46k8CX5xbQWZYMBb2fvEXcOQiIiIiMgORC+k9uSTT+LJJ5+s9LGEhASL+3PmzMGcOXNqPOa4ceMwzlGqThOJ4Dv3dnjJrw8MEimGFqfjk2u7oBb01e7TzKDB7WVZuL3s35oIJRI5Tiq98Y/S19wrflrhhUKVG/ap3LDvpv1VBh0iy6+b54h30OQiUptX5fNqIMX6VGOaHVtwClHavPqeNhERERGRwxE96SYi2xEALPPqgPk+PQAADxSexXvZSbXugTZxFXTooclGD002UGjcVp5xGWfTsnG85yCcCAzDPyofnFD6oFiqwFG1P46q/62ufnPBNtMc8ejyXHgZtFjhEYmrZRL460vx7PWj9T11IiIiIiKHxKSbqJEwAHjXpwe+9OoAAJiRdxwvXj9ss7nXJkrBgOjsi4i+cgxQ5Jqf+4LcA/+ofI1zxJU+OKFqhhyZS5UF267IXAAAL+Ydsa5qOhERERGRE2LSTdQIaCHBi379sMHDmNi+knMA0wtONtjzSwG01RWira4Qo4ovADD2uldXsA0A2nkKuDf9QoPFSURERETU0Jh0Ezm5UokMTwYMxHbXFpAJBnyYvdchqoBLUH3BtvMqL0h79oDkH/FiJCIiIiKyNxYLJnJieVIlHgmKwXbXFlAbdPjiynaHSLirYyrY9mDxObgrxI6GiIiIiMi+2NNN5KSyZC6IDRqK08pm8NRrsPLKH+ihuSZ2WEREREREdBMm3URO6JzCE7FBQ5Ehd0egrgSrsn5HBJfcIiIiIiJyOEy6iZzMMaUvHg0aglyZGm3L87Hqyu9ooSsWOywiIiIiIqoEk24iJ7LHsxUeDx6GYqkCnTXZWJm1Db4GjdhhERERERFRFVhIjchJ/NT2NkyJvB/FUgVuL83EmsytTLiJiIiIiBwce7qJnMDXbu3w2pAHIUikuLvoAhZd2wMVDGKHRURERERENWDSTeTABAFYbGiOeJ9QAMAjWUcwr/Q4ZBBEjoyIiIiIiKzBpJvIQekF4A1Da3xtCAIAPHNoA2Zpz0ESGChyZEREREREZC3O6SZyQBpBgpn69vjaEAQJBLx5/QCePbQRErEDIyIiIiKiWmFPN5GDKRKkmKEPxx7BGwoYsEh2DqOKzogdFhERERER1QGTbiIHkiPIMVUfiaOCO1yhx/9kp9Ffmi92WEREREREVEdMuokcxCVBiVhdFM7DBc2gRYLsFLpIi8UOi4iIiIiI6oFJN5EDOC24IFYXiSyo0BwarJKfRJikTOywiIiIiIionph0E4nskMEdU/WRyIcc4SjBKvlJBEm0YodFREREREQ2wOrlRCLabvDGw/oo5EOO7pJCfCf/hwk3EREREVEjwqSbSCQbDX74jz4cZZBhsOQ6vpGdhLdEL3ZYRERERERkQ0y6iUTwpT4Iz+rbQQcpxkiu4XPZabhIDGKHRURERERENsY53UQNSBCADwyh+MzQHAAwTZqJl6UXIZWIHBgREREREdkFk26iBqITgLn6tvhOCAAAvChNwwzpZUiYcBMRERERNVpMuokaQJkgwX/17ZEo+EAKAe/JzmOC9JrYYRERERERkZ0x6SayswJBhun6CPwleEIJAz6WncFw6XWxwyIiIiIiogbApJvIjq4KCkzWReIk3OABHb6QpaCPtFDssIiIiIiIqIEw6Sayk9OCC6bqInAJavihHF/JT6GDpETssIiIiIiIqAGJvmTY0qVL0aZNG6jVavTo0QO7d++usu2GDRsQExMDf39/eHp6om/fvvjtt98s2iQkJEAikVS4lZWV2ftUiMx2GLwwVtcBl6BGa5RivfwfJtxERERERE2QqEn3unXrMGvWLLz88ss4cuQI+vfvjxEjRiAtLa3S9rt27UJMTAy2bNmCQ4cOYfDgwRg1ahSOHDli0c7T0xOZmZkWN7Va3RCnRISv9IGYqo9EEeToLSnARvk/aCXRiB0WERERERGJQNTh5YsWLcK0adMwffp0AEB8fDx+++03fPbZZ3jvvfcqtI+Pj7e4/+6772Lz5s348ccf0a1bN/N2iUSCoKAgu8ZOdCudALxpaI1VBuO194DkKt6RpUIpEUSOjIiIiIiIxCJaT3d5eTkOHTqEYcOGWWwfNmwY9u7da9UxDAYDCgsL4ePjY7G9qKgIrVq1QosWLXDPPfdU6AknsrUCQYap+kisMgRBAgEvSS/iA9l5JtxERERERE2caD3d2dnZ0Ov1CAwMtNgeGBiIrKwsq46xcOFCFBcXY/z48eZtkZGRSEhIQKdOnVBQUIDFixfj9ttvx9GjR9G+fftKj6PRaKDR/Dv8t6CgAACg1Wqh1Wpre2oNxhSbI8fo1PR6QC4HZDJAWvXvU+mCEo/pwnFWcIUL9FggP49hsuvQ2fI3LbkcUKsBpdL4t5iUSsDFpd6xaG/sq63P+SgUxjgMBoDvA2pA/PwlZ8brl5wVr11yNNZeixJBEETpirt8+TKaN2+OvXv3om/fvubt77zzDr7++mucOnWq2v3Xrl2L6dOnY/PmzRg6dGiV7QwGA7p3744BAwZgyZIllbZ54403MG/evArb16xZA1dXVyvPiJqi1ELgy1MyFOkk8FII+E+kHqHuYkdFRERERET2VlJSgokTJyI/Px+enp5VthOty8zPzw8ymaxCr/bVq1cr9H7fat26dZg2bRq+//77ahNuAJBKpejVqxfOnDlTZZu4uDjMnj3bfL+goAChoaEYNmxYtS+e2LRaLRITExETEwOFQiF2OI3PpUvAa68Bfn5AJdfBZr0vPtW1gRYSdJAUY5nkNIJO2+mX1wsXgMREoGNHwN/fPs9hrcuXgWPHgM6dgZCQOh9GK5cjcexYxGzYAIVOV7eDFBQAOTnAsmVAVFSdYyGqLX7+kjPj9UvOitcuORrTCOmaiJZ0K5VK9OjRA4mJiRgzZox5e2JiIu67774q91u7di2mTp2KtWvX4u67767xeQRBQHJyMjp16lRlG5VKBZVKVWG7QqFwije0s8TpdGQyQKczDjM3GMybBQH4yNACSwwtAADDJbn4SHYWroIBsNe4EZ0OKCsDysuNf4upvBwoLbVZLAqdru5Jt1ZrjEMqNQ41J2pg/PwlZ8brl5wVr11yFNZeh6JODp09ezYmTZqEnj17om/fvvj888+RlpaGGTNmADD2QGdkZGDVqlUAjAl3bGwsFi9ejD59+ph7yV1cXODl5QUAmDdvHvr06YP27dujoKAAS5YsQXJyMj799FNxTpIalTJBguf1YfhJ8AMAzJBmYI40HVKJyIEREREREZFDEjXpnjBhAnJycvDmm28iMzMTHTt2xJYtW9CqVSsAQGZmpsWa3f/73/+g0+nw1FNP4amnnjJvnzx5MhISEgAAeXl5eOyxx5CVlQUvLy9069YNu3btwm233dag50aNz1VBgcf04UgWPCCHAe/KUjFeek3ssIiIiIiIyIGJXAYZePLJJ/Hkk09W+pgpkTbZsWNHjcf76KOP8NFHH9kgMqJ/nRRcMV0XgQyo4A0tPpOdQV+pdXM4iIiIiIio6RI96SZydH9I/fBfXQcUQ4a2KMVyeQraSMrEDouIiIiIiJyADRcSJmpcBEHACo8ITFd1RzFk6CvJxwb5cSbcRERERERkNfZ0E1VCqzfgjV2X8Y1PLwDAg5IreEt2AQqJKMvaExERERGRk2LSTXSL/FItnl5zGLvP5EIiCJirTcF01zxIWKGciIiIiIhqiUk30U0u5hRjasIBnLtWDFe5FIsv/4EYdw0g8RI7NCIiIiIickKc0010w1+puRj96Z84d60YwV5qfD+2LWJKL4kdFhEREREROTH2dBMBWH/oEl7acAxavYDOLbzwZWxPBORdFTssIiIiIiJycky6qUkzGAQsTEzBp9vPAQBGdAzCovFd4aKUAXnixkZERERERM6PSTc1WaXlesz+Lhm/HM8CADw1OAzPxURAKmXFNCIiIiIisg0m3dQkXS0ow/RVB3HsUj4UMgneH9sZ9/doIXZYRERERETUyDDpdlJnrhTit+OZuJ4rQeS1YrQN9IRCxrp41vjncj6mf3UQmfllaOaqwP8m9cRtbXzEDouIiIiIiBohJt1Oal9qLhYkngEgw/KUPyGXStDK1xVh/u5oF+COMH93hAW4o62/GzzVCrHDdRiJJ67gmW+PoKRcjzB/N6x4tBda+bqJHRYRERERETVSTLqdVEsfV9zbORiHz11GTrkMpVoDzl0rxrlrxdh64opF20BPlTEJ93dHmL8bwgKMiXmQpxoSSdOYvywIAr7cnYp3fzkJQQDuaOeHTx/uDi8X/iBBRERERET2w6TbSQ0M90e/Nt7YsiUdd901DDmlepy7VoSzV4tw7loRzl0txrlrRbhaqMGVAuNt77kci2O4KWVoeyMRv7l3vJWvK1RymUhnZntavQGvbT6OtX+lAwAm9m6Jefd24HB8IiIiIiKyOybdjYBUKkGItwtCvF3Qv72/xWMFZVqcu1p0oxe8COeuFuHstSJczClBcbkef2fk4++MfIt9ZFIJWvq4GnvF/f9Nxtv5u8PL1bl6hvNLtHjim0PYey4HUgnwyt3RmHJ76ybTw09EREREROJi0t3IeaoV6NayGbq1bGaxvVxnQFpuiTERN/eQF+P81SIUanRIzS5GanYxfj951WI/P3cl2t48b/xGYt7c28XhltpKzS7GtIQDOJ9dDDelDB9P7IY7IwPFDouIiIiIiJoQJt1NlFIuRbsbc7tvJggCrhVq/h2mflMP+eX8MmQXlSO7KBd/peZa7KdWSOHrpoKLUgYXhfGmVsrgqpDBRSmDWiGDq+mxW+6rb2y7+f7NbVVyaa17pvedz8GM1YeQV6JFiJcayx/thahgz3q/bkRERERERLXBpJssSCQSBHiqEeCpRr92fhaPFWt0OG9Kwm+aP34huwRlWgMy8krtFBP+TeRNCfmNxN3l5uT9RpKvMwj4Zv9FaPUCuoR644vYHgjwUNslNiIiIiIiouow6Saruank6NTCC51aeFls1+kNuHS9FPmlWpRq9Sgt15v/W6LVo8x03/TYjfsl5XqU3bz9lv+W6w0AAEEASsqN7Wvj7s7BWPhAF6gVjacoHBERERERORcm3VRvcpkUrf1sv9a1Tm9Amc5gkagbk3WdMVkvN9xI0HU3/vvv/ahgT4zvGepw88yJiIiIiKhpYdJNDksuk8JdJoW7ipcpERERERE5Jy5UTERERERERGQnTLqJiIiIiIiI7IRJNxEREREREZGdMOkmIiIiIiIishMm3URERERERER2wqSbiIiIiIiIyE6YdBMRERERERHZiehJ99KlS9GmTRuo1Wr06NEDu3fvrrb9zp070aNHD6jVarRt2xbLli2r0Gb9+vWIjo6GSqVCdHQ0Nm7caK/wiYiIiIiIiKokatK9bt06zJo1Cy+//DKOHDmC/v37Y8SIEUhLS6u0fWpqKkaOHIn+/fvjyJEjmDt3LmbOnIn169eb2yQlJWHChAmYNGkSjh49ikmTJmH8+PHYv39/Q50WEREREREREQCRk+5FixZh2rRpmD59OqKiohAfH4/Q0FB89tlnlbZftmwZWrZsifj4eERFRWH69OmYOnUqFixYYG4THx+PmJgYxMXFITIyEnFxcRgyZAji4+Mb6KyIiIiIiIiIjERLusvLy3Ho0CEMGzbMYvuwYcOwd+/eSvdJSkqq0H748OE4ePAgtFpttW2qOiYRERERERGRvcjFeuLs7Gzo9XoEBgZabA8MDERWVlal+2RlZVXaXqfTITs7G8HBwVW2qeqYAKDRaKDRaMz3CwoKAABardaczDsiU2yOHKNT0+sBuRyQyQCpyOUP5HJArQaUSuPfYlIqAReXeseivbGvtj7no1AY4zAYAL4PqAHx85ecGa9fcla8dsnRWHstivztHZBIJBb3BUGosK2m9rdur+0x33vvPcybN6/C9q1bt8LV1bXq4B1EYmKi2CE0XuPGiR2BUffuwNixYkdhF4m2OK/UVOONqIHx85ecGa9fcla8dslRlJSUWNVOtKTbz88PMpmsQg/01atXK/RUmwQFBVXaXi6Xw9fXt9o2VR0TAOLi4jB79mzz/fz8fLRs2RJ9+/aFh4dHrc6rIWm1Wmzfvh2DBw+GQqEQO5zGJyMDeOcdwM3N2MsspqwsYO9eoHVrwNtb3Fiys4Hz54GwMODG+64utAoFtk+ciMFr1kBR11+sy8qAkhIgPh6IiKhzLES1xc9fcma8fslZ8dolR1NYWAjg347gqoiWdCuVSvTo0QOJiYkYM2aMeXtiYiLuu+++Svfp27cvfvzxR4ttW7duRc+ePc1vvL59+yIxMRHPPvusRZt+/fpVGYtKpYJKpTLfNw0vb9OmTe1PjMierlwRO4J/HTxY/2P89FP9jwEAt99um+MQEREREdVSYWEhvLy8qnxc1OHls2fPxqRJk9CzZ0/07dsXn3/+OdLS0jBjxgwAxh7ojIwMrFq1CgAwY8YMfPLJJ5g9ezb+85//ICkpCcuXL8fatWvNx3zmmWcwYMAAzJ8/H/fddx82b96M33//HXv27LE6rpCQEKSnp8PDw6PaYeliKygoQGhoKNLT0+Hp6Sl2OES1wuuXnBmvX3JmvH7JWfHaJUcjCAIKCwsREhJSbTtRk+4JEyYgJycHb775JjIzM9GxY0ds2bIFrVq1AgBkZmZarNndpk0bbNmyBc8++yw+/fRThISEYMmSJbj//vvNbfr164dvv/0Wr7zyCl599VWEhYVh3bp16N27t9VxSaVStGjRwnYnameenp784CGnxeuXnBmvX3JmvH7JWfHaJUdSXQ+3iUSoaQA6OayCggJ4eXkhPz+fHzzkdHj9kjPj9UvOjNcvOSteu+SsRF4HiYiIiIiIiKjxYtLtxFQqFV5//XWLInBEzoLXLzkzXr/kzHj9krPitUvOisPLiYiIiIiIiOyEPd1EREREREREdsKkm4iIiIiIiMhOmHQTERERERER2QmTbiIiIiIiIiI7YdJNREREREREZCdMuomIiIiIiIjshEk3ERERERERkZ0w6SYiIiIiIiKyEybdRERERERERHbCpJuIiIiIiIjITph0ExEREREREdkJk24iIiIiIiIiO2HSTURERERERGQnTLqJiIiIiIiI7IRJNxEREREREZGdMOkmImoiJBKJVbcdO3bUeKx3330XmzZtqnc8b7zxRpWPb968GRKJBMuWLauyTWJiIiQSCRYtWmT18z766KNo3bp1LSK1HYlEgqeffrrSx/7v//6vwusvCAK+/fZb9O/fHwEBAVCr1WjRogWGDx+OL7/8ssKxTTeZTIZmzZqhS5cuePzxx7Fv375axVlcXIz3338f3bp1g7u7O9zc3NC1a1e8++67KC4urvV528uOHTusvq4BoHXr1nj00UfFDfomCQkJkEgkuHDhgs2OWVxcjPnz56NLly7w9PSEh4cHwsLCMH78eOzcudNmzwMAb7zxhvm1JSKiqsnFDoCIiBpGUlKSxf233noL27dvxx9//GGxPTo6usZjvfvuuxg3bhxGjx5tyxAt3H333QgKCsKKFSswY8aMStusXLkSCoUCkyZNslscYoqLi8P8+fPxn//8By+88AI8PDxw8eJF/PHHH9i8eTOmT59u0X7cuHF47rnnIAgCCgoKcPz4caxatQqff/45Zs6cicWLF9f4nFeuXMHQoUNx7tw5zJw5Ex988AEA4I8//sDbb7+NtWvX4vfff0dgYKBdzrk2unfvXuG6HjNmDMLCwrBgwYIK7Tdu3AhPT8+GCq9Gd999N5KSkhAcHGyT4+n1egwbNgx///03XnjhBdx2220AgDNnzuDHH3/E7t27MXDgQJs8FwBMnz4dd911l82OR0TUWDHpJiJqIvr06WNx39/fH1KptMJ2RyGXyxEbG4sPPvgAx48fR8eOHS0ez8vLw8aNG3HvvffC399fpCjtp7S0FPHx8YiNjcXnn39u8dijjz4Kg8FQYZ/AwECL/5/Dhw/HrFmz8Nhjj2HJkiWIjIzEE088Ue3zxsbG4tSpU9i+fTvuuOMO8/aYmBjcfffdGDx4MCZPnoxff/21nmdYO6WlpXBxcbHY5unpWeH6ValU8Pb2rvS67tatm11jrC1/f3+bXru7du3C3r17sWLFCkyZMsW8ffjw4Xj66acrvWbqoqSkBK6urmjRogVatGhhk2MSETVmHF5ORERmubm5ePLJJ9G8eXMolUq0bdsWL7/8MjQajbmNRCJBcXExvvrqK/PQ3UGDBgEArl27hieffBLR0dFwd3dHQEAA7rzzTuzevbtO8UybNg2AsUf7VmvXrkVZWRmmTp0KAPj0008xYMAABAQEwM3NDZ06dcIHH3wArVZb7XNcuHABEokECQkJFR6rbAj8mTNnMHHiRAQEBEClUiEqKgqffvppnc6vOsXFxdBoNFX2gkql1v0TLpPJ8Mknn8DPzw8ffvhhtW0PHjyIrVu3Ytq0aRYJt8kdd9yBqVOn4rfffsOhQ4cAGBPZ/v37V2ir1+vRvHlzjB071rytvLwcb7/9NiIjI6FSqeDv748pU6bg2rVrFvu2bt0a99xzDzZs2IBu3bpBrVZj3rx5Vp1vdW4dXm4anr5mzRq8+OKLCA4Ohru7O0aNGoUrV66gsLAQjz32GPz8/ODn54cpU6agqKjI4piCIGDp0qXo2rUrXFxc0KxZM4wbNw7nz5+vMZ7KhpcPGjQIHTt2xIEDB9C/f3+4urqibdu2eP/992tMmnNycgCgxmvmwoULkMvleO+99yq02bVrFyQSCb7//nsA/w4hP3z4MMaNG4dmzZohLCzM4rGbrVu3DsOGDUNwcDBcXFwQFRWFl156yaGmJRARNTQm3UREBAAoKyvD4MGDsWrVKsyePRs///wzHnnkEXzwwQcWiVNSUhJcXFwwcuRIJCUlISkpCUuXLgVgTNoB4PXXX8fPP/+MlStXom3bthg0aJBVc8VvFR4ejjvuuAOrV6+ukDyvXLkSzZs3x/DhwwEA586dw8SJE/H111/jp59+wrRp0/Dhhx/i8ccfr+MrUtGJEyfQq1cvHD9+HAsXLsRPP/2Eu+++GzNnzrRJUngzPz8/tGvXDkuXLsWiRYtw6tQpCIJQp2O5uLhg6NChSE1NxaVLl6psl5iYCADVThswPWZqO2XKFOzZswdnzpyxaLd161ZcvnzZ3ONqMBhw33334f3338fEiRPx888/4/3330diYiIGDRqE0tJSi/0PHz6MF154ATNnzsSvv/6K+++/v7anbbW5c+fi6tWrSEhIwMKFC7Fjxw489NBDuP/+++Hl5YW1a9dizpw5+PrrrzF37lyLfR9//HHMmjULQ4cOxaZNm7B06VL8888/6NevH65cuVKneLKysvDwww/jkUcewQ8//IARI0YgLi4Oq1evrna/nj17QqFQ4JlnnsE333yDzMzMStu1bt0a9957L5YtWwa9Xm/x2CeffIKQkBCMGTPGYvvYsWPRrl07fP/999XWWThz5gxGjhyJ5cuX49dff8WsWbPw3XffYdSoUVaePRFRIyQQEVGTNHnyZMHNzc18f9myZQIA4bvvvrNoN3/+fAGAsHXrVvM2Nzc3YfLkyTU+h06nE7RarTBkyBBhzJgxFo8BEF5//fUaj7Fy5UoBgLBhwwbztuPHjwsAhJdffrnSffR6vaDVaoVVq1YJMplMyM3NNT82efJkoVWrVub7qampAgBh5cqVFY5za4zDhw8XWrRoIeTn51u0e/rppwW1Wm3xPJUBIDz11FOVPvb9998LAITt27ebt/31119Cy5YtBQACAMHDw0O45557hFWrVgkGg8HqYwuCILz44osCAGH//v1VtpkxY4YAQDh16lSVbU6ePCkAEJ544glBEAQhOztbUCqVwty5cy3ajR8/XggMDBS0Wq0gCIKwdu1aAYCwfv16i3YHDhwQAAhLly41b2vVqpUgk8mElJSUKuOoSqtWrYS77767ysduvm63b98uABBGjRpl0W7WrFkCAGHmzJkW20ePHi34+PiY7yclJQkAhIULF1q0S09PF1xcXIQ5c+ZUG6vp2k5NTTVvGzhwYKX/n6Kjo4Xhw4dXezxBEITly5cL7u7u5msmODhYiI2NFXbt2mXRznTuGzduNG/LyMgQ5HK5MG/ePPO2119/XQAgvPbaaxWey/RYVQwGg6DVaoWdO3cKAISjR4/WGD8RUWPEnu4a7Nq1C6NGjUJISAgkEkmtq/Wahl7denNzc7NPwEREdfTHH3/Azc0N48aNs9huGo67bds2q46zbNkydO/eHWq1GnK5HAqFAtu2bcPJkyfrFNf48ePh4eGBFStWmLetWLECEonEYt7qkSNHcO+998LX1xcymQwKhQKxsbHQ6/U4ffp0nZ77ZmVlZdi2bRvGjBkDV1dX6HQ6823kyJEoKyurdZXwmvTq1Qtnz57Fr7/+irlz56Jv377Ytm0bYmNjce+999aq57s2ba05jmlYsa+vL0aNGoWvvvrKPPz5+vXr2Lx5M2JjYyGXG8vH/PTTT/D29saoUaMsXruuXbsiKCiowkiIzp07Izw83CYx1+See+6xuB8VFQXAWOjs1u25ubnmIeY//fQTJBIJHnnkEYtzCgoKQpcuXeo0ugMAgoKCzEXQTDp37oyLFy/WuO/UqVNx6dIlrFmzBjNnzkRoaChWr16NgQMHWkwvGDRoELp06WIxNWLZsmWQSCR47LHHKhzX2pEG58+fx8SJExEUFGR+H5qKt9X1M4CIyNkx6a5BcXExunTpgk8++aRO+z///PPIzMy0uEVHR+OBBx6wcaRERPWTk5ODoKCgCnM0AwICIJfLzfNFq7No0SI88cQT6N27N9avX499+/bhwIEDuOuuuyoMH7aWq6srHnzwQfz666/IysqCTqczJxGmuaVpaWno378/MjIysHjxYuzevRsHDhwwJxR1fe6b5eTkQKfT4eOPP4ZCobC4jRw5EgCQnZ1d7TFkMlmF4bwmOp0OAKBQKCy2KxQKDB8+HO+88w5+++03pKenY9CgQfjpp5/wyy+/WB2/KWELCQmpsk3Lli0BAKmpqVW2Mc0/Dg0NNW+bOnUqMjIyzEPO165dC41GYzF/+sqVK8jLy4NSqazw+mVlZVV47WxV0dsaPj4+FveVSmW128vKygAYz0kQBAQGBlY4p3379tV4PVTF19e3wjaVSmX1dezl5YWHHnoIixcvxv79+3Hs2DEEBgbi5ZdfRl5enrndzJkzsW3bNqSkpECr1eKLL77AuHHjEBQUVOGY1vz/KCoqQv/+/bF//368/fbb2LFjBw4cOIANGzYAsM37kIjIGbF6eQ1GjBiBESNGVPl4eXk5XnnlFXzzzTfIy8tDx44dMX/+fHNRIXd3d7i7u5vbHz16FCdOnKh2PhQRkRh8fX2xf/9+CIJgkXhfvXoVOp0Ofn5+NR5j9erVGDRoED777DOL7YWFhfWKbdq0afjiiy+watUqhIeH4+rVq1i4cKH58U2bNqG4uBgbNmxAq1atzNuTk5NrPLZarQYAi2JxACr8yNCsWTPIZDJMmjQJTz31VKXHatOmTbXPFRgYiIyMjEofM22vaSkuX19fzJo1Czt27MDx48fNCX91SktL8fvvvyMsLKzaatMxMTGYO3cuNm3aVOVSUKYRXzExMeZtw4cPR0hICFauXInhw4dj5cqV6N27t8Xyc35+fvD19a2y6rmHh4fFfWdY/9nPzw8SiQS7d++GSqWq8Hhl28TQoUMHPPjgg4iPj8fp06fNvegTJ07Eiy++iE8//fT/2bvv8KjK/P3j9ySZ9AIp9EgPRaqoNBGQoijY1rKLCoquILqIrA3dn4IFlVW/2LAuIBasYFtWiRQBBaWqSA8gLYEklPRkMnN+fyQzEpNACDM5U96v6+LSOXNmzifJE8id53k+R7169VJGRka1Y7smX48lS5bo4MGDWrZsWYVbk50Y9AEgEBG6z9Att9yiPXv26IMPPlCTJk20YMECXXLJJfr111/Vtm3bSue/9dZbSklJqbLTKwCYadCgQfroo4/02WefVWiiNHfuXNfzTtXNulkslkpB45dfftGqVasqzIyerp49e6pTp06aPXu2UlJSFBcXV2G5qzMQnHhtwzD05ptvnvK9GzZsqPDwcP3yyy8Vjn/++ecVHkdGRmrgwIHasGGDunTp4pr1PB2DBw/W/PnzlZmZWeFWUYZh6OOPP1aLFi3Upk0bSZLNZlNOTk6Vs57OZbonm7V2stvtuuuuu5SdnV1lt+oTnXvuuRo6dKj+85//6KabblLfvn0rPL9y5UrNmjVLl1xyiXr06OE67vxlxIwZM7RixQqtXbtWr7/+eoXXDh8+XB988IHsdrt69ux5yrp9wfDhw/X000/rwIEDuu6668wuR9nZ2YqJialybG7dulVSxTETHh6u22+/XS+//LJ++OEHdevWrdLX/HRU9X0oqdJYAIBAQ+g+A2lpaZo3b57279/v+kfs3nvv1ddff63Zs2dr2rRpFc4vLi7We++9pwcffNCMcgHgpEaNGqVXXnlFo0eP1p49e9S5c2etXLlS06ZN06WXXqrBgwe7zu3cubOWLVumL7/8Uo0bN1ZMTIzatWun4cOH6/HHH9ejjz6q/v37a9u2bXrsscfUsmVL1/Lp2hozZowmTZqkbdu2aezYsRXu2TxkyBCFhobqb3/7m+6//34VFRXp1Vdf1dGjR0/5vs49ubNmzVLr1q3VtWtX/fTTT3r//fcrnfvCCy/oggsuUL9+/XTHHXeoRYsWys3N1c6dO/Xll19qyZIlJ73WI488oi+//FI9e/bUgw8+qLZt2yojI0Nvvvmm1qxZo48++sh17vHjx9WiRQtde+21Gjx4sJKTk5WXl6dly5bphRdeUIcOHSp0lZfKljuvXr1ahmEoNzdXmzZt0ty5c/Xzzz/rnnvu0d///vdTfj7mzp2rwYMHa+jQoZowYYLrly1LlizRCy+8oPbt21d5e7UxY8bomWee0ciRIxUREaHrr7++wvN//etf9d577+nSSy/V3XffrfPPP19Wq1X79+/X0qVLdcUVV1TqmO3t+vbtq9tvv1233HKL1q5dqwsvvFBRUVFKT0/XypUr1blz51PeF92dli5dqrvvvls33HCD+vTpo4SEBB0+fFjz5s3T119/rVGjRlVa6TB+/HhNnz5d69at01tvvXVG1+/Tp4/q16+vcePG6dFHH5XVatV7772nn3/++YzeFwB8nnk93HyP/tTl86OPPjIkGVFRURX+hISEGNddd12l17///vtGSEiIkZ6eXodVA0DV/ty93DAMIzs72xg3bpzRuHFjIyQkxGjevLkxefJko6ioqMJ5GzduNPr27WtERkYakoz+/fsbhmEYxcXFxr333ms0bdrUCA8PN8455xzjs88+q9Qx3DBq3r3cKTMz0wgNDTUkGT/99FOl57/88kuja9euRnh4uNG0aVPjvvvuM/73v/9V6gheVS3Hjx83brvtNqNhw4ZGVFSUMWLECGPPnj1V1rh7925jzJgxRtOmTQ2r1WokJSUZffr0MZ544okafRw7duwwbrzxRtfnuF69esbQoUONxYsXVzivuLjYePbZZ41hw4YZZ511lhEWFmaEh4cbHTp0MO6//34jOzu7wvkq71YtyQgKCjJiY2ONzp07G7fffruxatWqGtXmlJeXZ0ybNs3o1q2bERkZaURGRhpdunQxnnjiCSMvL6/a1/Xp08eQZNxwww1VPm+z2Yxnn33W9XWKjo422rdvb4wdO9bYsWOH67yTdSA/ldp0L//4448rnOfsKr5mzZoKx53dujMzMyscnzVrltGzZ08jKirKiIiIMFq3bm2MGjXKWLt27Ulrra57+dlnn13p3KrG7Z/t27fP+Ne//mX07dvXaNSokRESEmLExMQYPXv2NF566SWjtLS0ytcNGDDAiI+PNwoKCio9V93HfOJzJ/rhhx+M3r17G5GRkUZSUpJx2223GevXr6/2DgEAEAgshuGmdqYBwGKxaMGCBa57lH744Ye64YYb9Ntvvyk4OLjCudHR0ZUakQwaNEixsbFasGBBXZUMAABQrcOHD6t58+b6xz/+oenTp5tdDgD4JZaXn4Hu3bvLbrfr8OHDp9yjvXv3bi1dulRffPFFHVUHAABQtf3792vXrl3697//raCgIN19991mlwQAfovQfQp5eXnauXOn6/Hu3bu1ceNGxcfHKyUlRTfccINGjRql5557Tt27d1dWVpaWLFmizp07V+goO2vWLDVu3PikndABAADqwltvvaXHHntMLVq00HvvvaemTZuaXRIA+C2Wl5/CsmXLNHDgwErHR48erTlz5shms+mJJ57Q3LlzdeDAASUkJKh3796aOnWqOnfuLElyOBxq3ry5Ro0apSeffLKuPwQAAAAAgEkI3QAAAAAAeEiQ2QUAAAAAAOCvCN0AAAAAAHgIjdSq4HA4dPDgQcXExMhisZhdDgAAAADAyxiGodzcXDVp0kRBQdXPZxO6q3Dw4EElJyebXQYAAAAAwMvt27dPzZo1q/Z5QncVYmJiJJV98mJjY02upno2m02LFi3S0KFDZbVazS4HOC2MX/gyxi98GeMXvoqxC2+Tk5Oj5ORkV36sDqG7Cs4l5bGxsV4fuiMjIxUbG8tfPPA5jF/4MsYvfBnjF76KsQtvdaotyTRSAwAAAADAQwjdAAAAAAB4CKEbAAAAAAAPIXQDAAAAAOAhhG4AAAAAADyE0A0AAAAAgIcQugEAAAAA8BBCNwAAAAAAHkLoBgAAAADAQwjdAAAAAAB4CKEbAAAAAAAPCTG7AAAAfMmR/BLtzcqVYZhdCQAA8AXMdAMAcBr++8tBXfnqas3azj+hAADg1PiJAQCA0/DtlsOSpBbRTHUDAIBTI3QDAFBD+cWlWpWWLUk6uz6hGwAAnBqhGwCAGlqxI0sldoeS60eoYYTZ1QAAAF9A6AYAoIaWbD0kSbqofZIsFpOLAQAAPoHQDQBADTgchpZszZQkXdQuyeRqAACAryB0AwBQAz/vP6asvGLFhIXo3Ob1zS4HAAD4CEI3AAA1sLi8a/mF7ZIUGsI/nwAAoGb4qQEAgBr4dkvZfu7BHRqYXAkAAPAlhG4AAE5h/9ECbc3IVZBFGpBC6AYAADVH6AYA4BSWbi1bWt6jeX3Vjwo1uRoAAOBLCN0AAJzCt+X7uQd1aGhyJQAAwNcQugEAOIn84lKtSsuWxH5uAABw+gjdAACcxIodWSqxO9Q8IVKtk6LNLgcAAPgYQjcAACexuLxr+aD2DWWxWEyuBgAA+BpCNwAA1XA4DC3d5tzPzdJyAABw+gjdAABUY+P+Y8rKK1FMWIjOaxFvdjkAAMAHEboBAKjGkvKu5Re2S1JoCP9kAgCA08dPEAAAVOPb8v3cdC0HAAC1RegGAKAK+48WaGtGroIs0oAUQjcAAKgdQjcAAFVYsrVsafm5zeNVPyrU5GoAAICvInQDAFCFb8v3c1/E0nIAAHAGCN0AAPxJXnGpVqdlS2I/NwAAODOEbgAA/mTljiyV2B1qnhCp1knRZpcDAAB8GKEbAIA/WVzetXxQ+4ayWCwmVwMAAHwZoRsAgBM4HIaWbivbz83ScgAAcKa8PnQvX75cI0aMUJMmTWSxWPTZZ5/V+LXff/+9QkJC1K1bN4/VBwDwLxv3H1NWXoliwkJ0Xst4s8sBAAA+zutDd35+vrp27aqXX375tF53/PhxjRo1SoMGDfJQZQAAf+RcWn5huyRZg73+n0kAAODlQswu4FSGDRumYcOGnfbrxo4dq5EjRyo4OPi0ZscBAIFt8RaWlgMAAPfx+tBdG7Nnz1ZaWpreffddPfHEE6c8v7i4WMXFxa7HOTk5kiSbzSabzeaxOs+UszZvrhGoDuMX3ujAsUJtzchVkEXq26p+teOT8QtfxviFr2LswtvUdCz6XejesWOHHnzwQa1YsUIhITX78J566ilNnTq10vFFixYpMjLS3SW6XWpqqtklALXG+IU3WZFhkRSsltGGVi379pTnM37hyxi/8FWMXXiLgoKCGp3nV6Hbbrdr5MiRmjp1qlJSUmr8usmTJ2vSpEmuxzk5OUpOTtbQoUMVGxvriVLdwmazKTU1VUOGDJHVajW7HOC0MH7hjT55e52kbP2lT4ouvaBltecxfuHLGL/wVYxdeBvnCulT8avQnZubq7Vr12rDhg266667JEkOh0OGYSgkJESLFi3SRRddVOl1YWFhCgsLq3TcarX6xDe0r9QJVIXxC2+RV1yqH3cflSQNPbtJjcYl4xe+jPELX8XYhbeo6Tj0q9AdGxurX3/9tcKxmTNnasmSJfrkk0/UsmX1sxYAgMC2ckemSuwONU+IVOukKLPLAQAAfsLrQ3deXp527tzperx7925t3LhR8fHxOuusszR58mQdOHBAc+fOVVBQkDp16lTh9Q0aNFB4eHil4wAAnOjb8q7lg9o3lMViMbkaAADgL7w+dK9du1YDBw50PXbuvR49erTmzJmj9PR07d2716zyAAB+wOEwtHQrtwoDAADu5/Whe8CAATIMo9rn58yZc9LXT5kyRVOmTHFvUQAAv7Jx/zFl55coJjxE57WMN7scAADgR4LMLgAAALMt3nJIktQ/JUnWYP5pBAAA7sNPFgCAgLfYuZ+bpeUAAMDNCN0AgIC2/2iBtmbkKsgiDUghdAMAAPcidAMAAppzlvvc5vGqHxVqcjUAAMDfELoBAAHt2/L93CwtBwAAnkDoBgAErLziUv2464gkaVCHhiZXAwAA/BGhGwAQsFbuyFSJ3aEWCZFqnRRldjkAAMAPEboBAAHr2/L93Be1byiLxWJyNQAAwB8RugEAAcnuMLR0a1noHsx+bgAA4CGEbgBAQNq475iy80sUEx6i81rGm10OAADwU4RuAEBAWlzetbx/SpKswfxzCAAAPIOfMgAAAWmJa2k5XcsBAIDnELoBAAFn/9ECbc3IVZBFGtAuyexyAACAHyN0AwACzuLyruXnNo9XvchQk6sBAAD+jNANAAg435bv5x5E13IAAOBhhG4AQEDJKy7Vj7uOSJIGsZ8bAAB4GKEbABBQVmzPVIndoRYJkWqdFGV2OQAAwM8RugEAAWVxedfyQR0aymKxmFwNAADwd4RuAEDAsDsMLXWFbvZzAwAAzyN0AwACxsZ9x5SdX6KY8BCd1yLe7HIAAEAAIHQDAALG4vKu5f1TkmQN5p9AAADgefzEAQAIGM77cw+mazkAAKgjhG4AQEDYd6RA2w7lKjjIogHtkswuBwAABAhCNwAgICwpb6DWo3l91YsMNbkaAAAQKAjdAICA8G35fu7BdC0HAAB1iNANAPB7ecWl+nHXEUnSRe3Zzw0AAOoOoRsA4PdWbM9Uid2hFgmRap0UZXY5AAAggBC6AQB+79vyruWDOjSUxWIxuRoAABBICN0AAL9mdxhaus0ZutnPDQAA6hahGwDg1zbuO6oj+SWKCQ/ReS3izS4HAAAEGEI3AMCvLS5fWj6gXQNZg/lnDwAA1C1++gAA+DVn6B7UnqXlAACg7hG6AQB+a9+RAm07lKvgIIsGtEsyuxwAABCACN0AAL+1eMshSVKP5vVVLzLU5GoAAEAg8vrQvXz5co0YMUJNmjSRxWLRZ599dtLz58+fryFDhigpKUmxsbHq3bu3vvnmm7opFgDgVRZvLVtaPpiu5QAAwCReH7rz8/PVtWtXvfzyyzU6f/ny5RoyZIgWLlyodevWaeDAgRoxYoQ2bNjg4UoBAN4kt8im1buyJZXdnxsAAMAMIWYXcCrDhg3TsGHDanz+jBkzKjyeNm2aPv/8c3355Zfq3r27m6sDAHirlTuyZLMbapEQqVaJUWaXAwAAApTXh+4z5XA4lJubq/j46u/NWlxcrOLiYtfjnJwcSZLNZpPNZvN4jbXlrM2bawSqw/iFpy3anCFJGtguSaWlpW59b8YvfBnjF76KsQtvU9Ox6Peh+7nnnlN+fr6uu+66as956qmnNHXq1ErHFy1apMjISE+W5xapqalmlwDUGuMXnuAwpEW/BkuyKOrYLi1cmOaR6zB+4csYv/BVjF14i4KCghqdZzEMw/BwLW5jsVi0YMECXXnllTU6f968ebrtttv0+eefa/DgwdWeV9VMd3JysrKyshQbG3umZXuMzWZTamqqhgwZIqvVanY5wGlh/MKT1u89puvf/Ekx4SH68cEBsga7t4UJ4xe+jPELX8XYhbfJyclRYmKijh8/ftLc6Lcz3R9++KFuvfVWffzxxycN3JIUFhamsLCwSsetVqtPfEP7Sp1AVRi/8IRlO8oaqA1o10CR4ZX/fncXxi98GeMXvoqxC29R03Ho9d3La2PevHm6+eab9f777+uyyy4zuxwAQB1z3p+bW4UBAACzef1Md15ennbu3Ol6vHv3bm3cuFHx8fE666yzNHnyZB04cEBz586VVBa4R40apRdeeEG9evVSRkZZI52IiAjFxcWZ8jEAAOrOviMF2n4oT8FBFvVPSTK7HAAAEOC8fqZ77dq16t69u+t2X5MmTVL37t31yCOPSJLS09O1d+9e1/mvv/66SktLdeedd6px48auP3fffbcp9QMA6pZzlrtH8/qqFxlqcjUAACDQef1M94ABA3SyXm9z5syp8HjZsmWeLQgA4NUWbz0siaXlAADAO3j9TDcAADWVW2TT6l1lTdQGdWhocjUAAACEbgCAH1mxI0s2u6GWiVFqnRRtdjkAAACEbgCA//i2fD/3oPYsLQcAAN6B0A0A8At2h6Fl2zIlSRexnxsAAHgJQjcAwC9s3HdUR/JLFBMeovNaxJtdDgAAgCRCNwDAT3y7paxr+YB2DWQN5p83AADgHfipBADgF5z35+ZWYQAAwJsQugEPmvfTXo19Z62KbHazSwH82r4jBdp+KE/BQRYNSCF0AwAA70HoBjxoxrfb9c1vh/Td9kyzSwH8mrNr+bnN6ysu0mpyNQAAAH8gdAMekltk06GcYknStoxck6sB/Nvi8v3cg1haDgAAvAyhG/CQtMx81/8TugHPyS2y6cfd2ZKkQR0amlwNAABARYRuwEPSDue5/n9LRo6JlQD+bcWOLNnshlomRql1UrTZ5QAAAFRA6AY8ZGfmH6F7T1Y+zdQAD3Hu5x7UnqXlAADA+xC6AQ85cabbYUg7DuWd5GwAtWF3GFq2raxRIUvLAQCANyJ0Ax6SVj7THRZS9m22lSXmgNtt2HtUR/JLFBseonNb1De7HAAAgEoI3YAH2OwO/Z5dIEm6qHzJ61aaqQFu92151/L+7RrIGsw/aQAAwPvwEwrgAb9nF6jUYSgyNFgD2iVJYqYb8IQlW8v2cw/mVmEAAMBLEboBD3AuLW+VFKUOjWMlcdswwN32HSnQ9kN5Cg6yaEAKoRsAAHgnQjfgATvLm6i1SYpW2wYxslikrLwSZeYWm1wZ4D+cXcvPbV5fcZFWk6sBAACoGqEb8ADnTHfrpGhFhAarZUKUJGa7AXdaXL6fezBdywEAgBcjdAMe4LxdWOsG0ZKkdo1iJLGvG3CX3CKbftydLUkaxH5uAADgxQjdgJsZhqG0zHxJUpvy0N2+Udm+bjqYA+6xfHuWbHZDLROj1Cop2uxyAAAAqkXoBtzscG6x8opLFWSRmidESmKmG3C3xeVdywe1Z5YbAAB4N0I34GbOJmrNE6IUFhIsSerQuCx07ziUp1K7w7TaAH9gdxhati1TkjSI/dwAAMDLEboBN/ujiVqU61hy/UhFhgaruNShPdkFZpUG+IUNe4/qSH6JYsNDdG6L+maXAwAAcFIhnnjT48ePKzU1VXv27JHFYlHLli01ePBgxcbGeuJygFdxNVE7YZ9pUJBFKQ1jtHHfMW3LyHXt9QZw+r4t71o+oF0DWYP53TEAAPBubg/d7777ru666y7l5FTcuxoXF6fXXntN119/vbsvCXiVnZkVO5c7tW9UFrq3ZuTosi6NzSgN8AuLy+/PTddyAADgC9w6RbB+/XrdcsstuvLKK7VhwwYVFhaqoKBAa9eu1YgRI3TTTTfp559/duclAa+Tdrisc3nrpMqhW5K2pNPBHKitvdkF2nE4T8FBFg1IIXQDAADv59aZ7pdeeklXXnml5syZU+H4Oeeco7lz56qgoEAvvPCCZs2a5c7LAl4jr7hUGTlFkqQ2fw7djcu2V2w7RAdzoLa+LZ/lPrd5fcVFWk2uBgAA4NTcOtP9/fffa+zYsdU+P27cOK1cudKdlwS8inM/d2J0WKVA4Jzp3nekUHnFpXVeG+APlmwt2889mK7lAADAR7g1dB88eFApKSnVPp+SkqIDBw6485KAV6mqc7lTvchQNYoNlyRty2CJOXC6cots+nF3tiT2cwMAAN/h1tBdUFCg8PDwap8PCwtTUVGROy8JeBXnPbqr607erny2e2sGS8yB07V8e5ZsdkOtEqPUKok7AAAAAN/g9u7l33zzjeLi4qp87tixY+6+HOBV/pjprjoQtG8co++2ZzLTDdSCs2v5Re2Z5QYAAL7D7aF79OjRJ33eYrG4+5KA10jLLO9cXs1Mt3Nf91Y6mAOnxe4wtHRb2X7uQeznBgAAPsSty8sdDscp/9jt9tN6z+XLl2vEiBFq0qSJLBaLPvvss1O+5rvvvlOPHj0UHh6uVq1a6bXXXqvlRwTUnM3u0J6sstBd3fLy9o3KOphvzciRYRh1Vhvg69bvPaqjBTbFhofo3Bb1zS4HAACgxtwauj0hPz9fXbt21csvv1yj83fv3q1LL71U/fr104YNG/TQQw9pwoQJ+vTTTz1cKQLd3iMFKnUYirAGq3Fs1b0NWidFKyTIopyiUqUfp78BUFP/+zVDkjSgXQNZg73+ny4AAAAXty4v37lzp44fP64ePXq4ji1evFhPPPGE8vPzdeWVV+qhhx46rfccNmyYhg0bVuPzX3vtNZ111lmaMWOGJKlDhw5au3atnn32Wf3lL385rWsDp8N5u7BWSVEKCqp6G0VoSJBaJ0Vr26FcbcvIVZN6EXVZIuCTVqVl6+1VeyRJl3VpbG4xAAAAp8mt0wX33XdfheXfu3fv1ogRIxQaGqrevXvrqaeecoVhT1m1apWGDh1a4djFF1+stWvXymazefTaCGw7M0/eudzJ2cF8Cx3MgVNKP16ou95fL7vD0FXdm2poR/ZzAwAA3+LWme61a9fq/vvvdz1+7733lJKSom+++UaS1KVLF7300kuaOHGiOy9bQUZGhho2rPhDWcOGDVVaWqqsrCw1blx5lqS4uFjFxcWuxzk5ZWHIZrN5dVB31ubNNQaSHYfKmqO1iI846dckpUHZPbw3Hzge0F87xi9OpbjUoXHvrFN2fonaN4rR1OHtVVpaanZZkhi/8G2MX/gqxi68TU3HoltDd1ZWlpo1a+Z6vHTpUo0YMcL1eMCAAfrnP//pzktW6c8d0p0Nq6rrnP7UU09p6tSplY4vWrRIkZGR7i/QzVJTU80uAZLW7wiWZFHO/u1auHBbteflHLVICta6nelauHB/ndXnrRi/qM6Hu4L086EgRQYburbxUS399huzS6qE8QtfxviFr2LswlsUFBTU6Dy3hu74+Hilp6crOTlZDodDa9eu1T333ON6vqSkxOMdmxs1aqSMjIwKxw4fPqyQkBAlJCRU+ZrJkydr0qRJrsc5OTlKTk7W0KFDFRsb69F6z4TNZlNqaqqGDBkiq9VqdjkBzTAMPbx+qaRSXTP0AqU0jKn23O7Hi/TG1uXKLA7S4KFDFBoSmE2hGL84mY/XHdAPq36TxSK9OPIc9U9JMrukChi/8GWMX/gqxi68jXOF9Km4NXT3799fjz/+uGbOnKmPP/5YDodDAwcOdD2/efNmtWjRwp2XrKR379768ssvKxxbtGiRzj333Gq/OcPCwhQWFlbpuNVq9YlvaF+p058dzilSXnGpgixSm0ZxsoYEV3tuckKIYsNDlFNUqr3HitWhsff+YqcuMH7xZ7/sP6YpX22RJN0zOEWDz25ickXVY/zClzF+4asYu/AWNR2Hbp1ie/LJJ7Vlyxa1aNFCDzzwgKZPn66oqCjX8++8844uuuii03rPvLw8bdy4URs3bpRU1pxt48aN2rt3r6SyWepRo0a5zh83bpx+//13TZo0SVu2bNGsWbP0n//8R/fee++Zf4BANXaWdy4/Kz5SYScJ3FLZNocT79cN4A9H8kt0x7vrVVLq0OAODXTXwDZmlwQAAHBG3DrT3bJlS23ZskWbN29WUlKSmjSpODsxderUCnu+a2Lt2rUVZsudy8BHjx6tOXPmKD093RXAnTUsXLhQ99xzj1555RU1adJEL774IrcLg0ellXcub5108s7lTu0bx+inPUe0NSPXk2UBPsXuMDRh3gYdOFaoFgmReu66btXefg8AAMBXuDV0S2VT7F27dq3yueqOn8yAAQNOug98zpw5lY71799f69evP+1rAbWVlpkv6dS3C3Ny3jZsazqhG3B6dtE2rdyZpQhrsF6/6VzFRbB0EAAA+D63hu4xY8ZUeTwuLk7t2rXTjTfeqOjomoUSwJc4l5fXeKa7fHn5Nma6AUnS15sy9OqyNEnSM9d0cf1iCgAAwNe5dU/30aNHq/yzceNGPfLII2rXrp127drlzksCXsG1vLxB1CnOLOMMFBk5RTpWUOKxugBfsPNwnu79+GdJ0q0XtNTlXb23cRoAAMDpcutM94IFC6p9rrCwUKNGjdKDDz6ojz76yJ2XBUyVV1yq9ONFkmo+0x0dFqLk+AjtO1KorRm56tWq6tvZAf4ur7hUY99Zq7ziUp3fMl4PDmtvdkkAAABuVWc3CI6IiNADDzyg1atX19UlgTqxq3yWOzE6VPUiQ2v8unYNyzuYp9PBHIHJMAzd9/HPSsvMV8PYML0y8hxZgwPzvvUAAMB/1elPN/Hx8Tp27FhdXhLwOOfS8lY1nOV26tC4vJka+7oRoN5Yvkv/25Qha7BFr97YQ0kxYWaXBAAA4HZ1Grp/+OEHtW7dui4vCXics4laTTuXO7k6mBO6EYC+35mlZ77eKkl6ZMTZOues+iZXBAAA4Blu3dP9yy+/VHn8+PHjWrNmjaZNm6YnnnjCnZcETJd2uOx2YTXdz+3k7GC+/VCuHA6D+xEjYBw4Vqh/zNsghyFd06OZbux5ltklAQAAeIxbQ3e3bt1ksViqvK92UlKSHnjgAY0bN86dlwRM51xefroz3S0SIhUaEqSCErv2HS1Q84SadT4HfFmRza7x767TkfwSdWoaqyeu7CSLhV84AQAA/+XW0L179+4qj8fFxalevXruvBTgFUrtDu3Jds50n15oDgkOUkrDaG06kKMt6bmEbgSEKV/8pp/3H1e9SKtevaGHwq3BZpcEAADgUW4N3c2bN3fn2wFeb++RAtnshiKswWoSF3Har2/fKFabDuRoW0auLunUyAMVAt7jg5/26oM1+2SxSC/+tbuS4yPNLgkAAMDjuDcLcAacTdRaJUXVak92e1czNW4bBv+2cd8xPfL5b5Kke4e204UpSSZXBAAAUDcI3cAZSMusXRM1J2cztW10MIcfy84r1vh316nE7tDQjg11R3/uYgEAAAIHoRs4A84marUN3c7bhu3Ozldhid1tdQHeotTu0D/mbdDB40VqlRil567rSqd+AAAQUAjdwBmo7T26nZJiwpQYHSrDkHYcZrYb/uff32zTD2nZigwN1us39VBMuNXskgAAAOqUx0L3sWPH9NZbb2ny5Mk6cuSIJGn9+vU6cOCApy4J1CnDMP6Y6W5Q+87jztnuremEbviXhb+m6/XluyRJ/76mq9o2jDG5IgAAgLrn1u7lTr/88osGDx6suLg47dmzR3//+98VHx+vBQsW6Pfff9fcuXM9cVmgTmXmFSu3qFRBFqnFGdzuq32jWH2/M1tbaKYGP7LjUK7u+/hnSdLtF7bSZV0am1wRAACAOTwy0z1p0iTdfPPN2rFjh8LDw13Hhw0bpuXLl3vikkCdcy4tT46PPKN7DTtnummmBrvD0M2zf9KIl1bq600ZMgzD7JJqJbfIprHvrFN+iV29WyXo/ovbmV0SAACAaTwy071mzRq9/vrrlY43bdpUGRkZnrgkUOfOtHO5U4fyDuZbM3JlGIYsFppMBarth3K1bFumJGncu+vU/ax6euCS9urVKsHkymrOMAzd+/HP2pWVr8Zx4XppZHeFBNM+BAAABC6P/CQUHh6unJzKS2W3bdumpCTuzQr/kHaGTdSc2jaMVpBFOpJfosy8YneUBh/164HjkqTE6DBFWIO1Ye8x/fWN1bp59k/afNA3th+8+l2avvntkEKDg/TqjT2UGB1mdkkAAACm8kjovuKKK/TYY4/JZrNJkiwWi/bu3asHH3xQf/nLXzxxSaDO/XG7sNrv55akcGuwWiSWvQfN1ALbr/vLQveV3Zrou/sG6MZeZykkyKJl2zJ12UsrdM+HG7XvSIHJVVZvxY5MPfvNNknS1CvOVrfkeuYWBAAA4AU8ErqfffZZZWZmqkGDBiosLFT//v3Vpk0bxcTE6Mknn/TEJYE655zpPtPl5ZLUnn3d0B8z3Z2bxalBbLieuLKzvp3UX8O7NJZhSAs2HNBFzy3TlC9+U7aXrYrYf7RAE+ZtkMOQrj83WX87/yyzSwIAAPAKHtnTHRsbq5UrV2rJkiVav369HA6HzjnnHA0ePNgTlwPqXH5xqQ4eL5LkrtAdq4W/ZtDBPICV2h3akl729e/cNM51vEVilF4eeY7GXnhcz3y9VSt3ZmnOD3v08dp9+vuFrXRbv1aKDvPIX+U1VmSza9y763S0wKYuzeI09YqzTa0HAADAm3j0J7WLLrpIF110kScvAZhiV3kTtYSoUNWPCj3j92OmGzsO56m41KHosJAqb0HXuVmc3r2tp1buyNIzX2/VrweOa8a3O/TOqt/1j4vaaGTP5goNqfuGZYZh6P99tkmbDuQoPipUr97Y44y6+QMAAPgbj4Tuxx577KTPP/LII564LFBnXPu5z7CJmlP78g7mOw7nqdTuoNtzAHIuLT+7SayCgqrvYH9B20T1ad1XCzel69lvtmlPdoGmfLlZs77fo38OTdGILk1O+np3e/+nvfp43X4FWaSX/tZdTetF1Nm1AQAAfIFHQveCBQsqPLbZbNq9e7dCQkLUunVrQjd83k437ueWpGb1IxQVGqz8Erv2ZOerTYMYt7wvfMcm537uE5aWVycoyKLhXZro4rMb6cM1+/TC4h3ae6RAd3+wUa9/t0v3X9JO/VOSPH77ufV7j2rKF79Jku67uL36tkn06PUAAAB8kUdC94YNGyody8nJ0c0336yrrrrKE5cE6pS7Opc7BQVZlNIoRhv2HtOW9FxCdwD6Zf8fTdRqyhocpBt7NdfV5zTVrJW79fp3u7Q5PUc3z16jXq3i9eCwDh7rIJ6ZW6zx766XzW5oWKdGGte/lUeuAwAA4OvqbA1rbGysHnvsMf2///f/6uqSgMfsdNM9uk/kXGK+lWZqAae6Jmo1FRkaorsuaqvl9w/UbRe0VGhwkFbvOqIrX/led7y7zvVLInfW+49565WRU6TWSVH697VdPT6rDgAA4KvqdOPosWPHdPz48bq8JOB2pXaH9mSXNVJz1/JyiWZqgexUTdRqqn5UqP41vKOW3NtffzmnmSwW6X+bMjT0/5Zr8vxflFHecf9MPfP1Vq3edUTRYSF6/aZzTe+eDgAA4M088pPSiy++WOGxYRhKT0/XO++8o0suucQTlwTqzL6jhbLZDYVbg9zaNMoZurekE7oDTU2bqNVUs/qReu66rrr9wlb69zdb9e2Ww5r30z7NX39At/RtqTv6t1ZcpLVW7/3lzwf15ordkqRnr+3i1tUeAAAA/sgjofv//u//KjwOCgpSUlKSRo8ercmTJ3vikkCdcS4tb5UY7dYu0c7l5QeOFSqnyKbY8NqFIvie02midjraNYrRW6PP05o9R/TM/7Zq7e9H9dp3aZr3017dMaC1bu7T4rRu77X9UK4e+PQXSdK4/q11SafGbq0XAADAH3kkdO/evdsTbwt4BXffLswpLtKqxnHhSj9epO0ZuTq3Rbxb3x/eyznTfTpN1E7HeS3i9fG43lq85bCmf7NV2w/l6en/bdWc7/foniFt9Zdzmp3yNnU5RTaNfWedCkrsuqBNou4dmuKRWgEAAPwNNwMGTlOas4maG/dzO7UrX2K+lX3dAaPU7tDmg2VN1Dq5eab7RBaLRYM7NtT/7r5Qz17bVU3iwpWRU6QHPv1VF89Yrq83ZcgwjCpf63AYmvThz9qdla+m9SL04t+6cy95AACAGnLbTPfVV19d43Pnz5/vrssCdW6na6bbPbcLO1H7RrFati2TDuYB5MQmai3PoIlaTQUHWXRNj2Ya3qWx3l39u15eulNpmfka9+46dT+rnh64pL16tUqo8JqZy3bq2y2HFBoSpFdvPEfxUaEerxMAAMBfuC10x8V5boYG8BaGYbhmut3ZudyJDuaBx91N1Goq3Bqs2/q10nXnJeuN73bpPyt3a8PeY/rrG6s1sF2S7r+kvTo0jtWybYf1XOp2SdITV3RSl2b16qxGAAAAf+C20D179mx3vVUlM2fO1L///W+lp6fr7LPP1owZM9SvX79qz3/vvfc0ffp07dixQ3Fxcbrkkkv07LPPKiEhodrXADWRmVesnKJSWSxSy0QPzHQ3/mN5uWEY3Ps4AHiqiVpNxYZbde/F7TSqd3O9uGSH5v20T0u3ZWrZ9kyN6NJE323PlGFIfzv/LF13XrIpNQIAAPgyr9+U9+GHH2rixIl6+OGHtWHDBvXr10/Dhg3T3r17qzx/5cqVGjVqlG699Vb99ttv+vjjj7VmzRrddtttdVw5/FHa4bL7cyfXjzytrs811SoxWtZgi3KLSnXQTfdUhnfzdBO1mmoQG64nruysbyf112VdGsswpC9+PqjjhTZ1Ta6nKZd3NLU+AAAAX+WR7uWS9Mknn+ijjz7S3r17VVJSUuG59evX1/h9nn/+ed16662u0Dxjxgx98803evXVV/XUU09VOn/16tVq0aKFJkyYIElq2bKlxo4dq+nTp5/BRwOUcXUuT/LM3tvQkCC1TorW1oxcbU3Pcet9wOF9Su0ObUn3fBO109EyMUqvjDxH4y48rudStyk7r0Sv3XiOwkLc/0smAACAQOCRme4XX3xRt9xyixo0aKANGzbo/PPPV0JCgnbt2qVhw4bV+H1KSkq0bt06DR06tMLxoUOH6ocffqjyNX369NH+/fu1cOFCGYahQ4cO6ZNPPtFll112Rh8TIP1xj+42br5d2Ina08E8YOzMzFORre6aqJ2Ozs3iNOeW8/XlPy5Q4zh++QMAAFBbHpnpnjlzpt544w397W9/09tvv637779frVq10iOPPKIjR47U+H2ysrJkt9vVsGHDCscbNmyojIyMKl/Tp08fvffee7r++utVVFSk0tJSXX755XrppZeqvU5xcbGKi4tdj3NyymaebDabbDZbjeuta87avLlGf7PzcFkQbhEf4bHPe5vyWfTNB4/79deW8Stt+L3s78MOjWNkt5fKbje5INQY4xe+jPELX8XYhbep6Vj0SOjeu3ev+vTpI0mKiIhQbm5ZULnpppvUq1cvvfzyy6f1fn9uJnWyBlObN2/WhAkT9Mgjj+jiiy9Wenq67rvvPo0bN07/+c9/qnzNU089palTp1Y6vmjRIkVGRp5WrWZITU01u4SA8dveYEkWHd75ixYe/sUj18g9apEUrHU707Vw4X6PXMObBPL4XbgrSFKQooqztXDhQrPLQS0E8viF72P8wlcxduEtCgoKanSeR0J3o0aNlJ2drebNm6t58+ZavXq1unbtqt27d8swjBq/T2JiooKDgyvNah8+fLjS7LfTU089pb59++q+++6TJHXp0kVRUVHq16+fnnjiCTVu3LjSayZPnqxJkya5Hufk5Cg5OVlDhw5VbGxsjeutazabTampqRoyZIisVqvZ5fi9/OJSHV21RJJ0w+WDVT/SM/cq7n68SK9vXa7M4iANGjpEYSFe3++wVhi/0uw3fpR0XCP6dtWlXSv/3QTvxfiFL2P8wlcxduFtnCukT8Ujofuiiy7Sl19+qXPOOUe33nqr7rnnHn3yySdau3atrr766hq/T2hoqHr06KHU1FRdddVVruOpqam64oorqnxNQUGBQkIqfljBwWUNgKoL/GFhYQoLC6t03Gq1+sQ3tK/U6ev2Hy77TVZ8VKgaxHlu/21yQojiIqw6XmjT70eLdHYT72iw5SmBOn5L7Q7Xvv1uzeMD8nPgDwJ1/MI/MH7hqxi78BY1HYduDd2fffaZRowYoTfeeEMOh0OSNG7cOMXHx2vlypUaMWKExo0bd1rvOWnSJN10000699xz1bt3b73xxhvau3ev630mT56sAwcOaO7cuZKkESNG6O9//7teffVV1/LyiRMn6vzzz1eTJk3c+eEiwLiaqCV5romaVLadol2jGP20+4i2ZeT6fegOVN7cRA0AAADu49bQfc011ygxMVGjR4/WmDFj1K5dO0nSddddp+uuu65W73n99dcrOztbjz32mNLT09WpUyctXLhQzZs3lySlp6dXuGf3zTffrNzcXL388sv65z//qXr16umiiy7SM888c+YfIAKa63ZhDTwfkDqUh246mPuvX/eX3Z+7Y5NYBQVV3aMCAAAAvs+toXvv3r2aPXu23n77bT377LPq3bu3br31Vl133XWKiqp9UBk/frzGjx9f5XNz5sypdOwf//iH/vGPf9T6ekBV/rhHt2dnuiWpXaOyXgKEbv+16UBZ6O7sJffnBgAAgGe4tUNTkyZN9PDDD2v79u1asmSJWrdurQkTJqhx48a67bbbtGrVKndeDqhTzuXlrT14j26n9o3L79WdXrPmDPA9v5SH7i7NCN0AAAD+zGNtkfv376+3335b6enpev7557VlyxZdcMEFOvvssz11ScBjSu0O7ckqa6Tm6T3dkpTSsCx0H84t1pH8Eo9fD3Wr1O7QlvJfqHRiphsAAMCvefxeRNHR0Ro4cKAGDhyoevXqafv27Z6+JOB2+48WqsTuUFhIkJrWi/D49aLDQnRWfNk94rdmMNvtb2iiBgAAEDg8FroLCgr09ttvq3///kpJSdGHH36oSZMmac+ePZ66JOAxzqXlrZKi66zpVftGziXm7Ov2NzRRAwAACBxuv0/3999/r1mzZunjjz9WaWmprr76an377bcaOHCguy8F1Jk/mqjV3axk+0YxWrT5kLbRTM3v0EQNAAAgcLg1dKekpCgtLU3du3fXM888o5EjRyoujh8q4ftc9+iugyZqTu0bOzuYs7zc3/xK6AYAAAgYbg3dl1xyiW699VZ17drVnW8LmK4ubxfm1K58efn2Q3myOwwFswzZL5TaHdpc3kStM53LAQAA/J5bQ/eLL77ozrcDvIJhGErLzJdUt6G7RUKUwkKCVGiza++RArVMpOGWP6CJGgAAQGDxePdywNdl5ZXoeKFNFovUqg73dAcHWVy3DtvGEnO/QRM1AACAwELoBk7BubS8Wf0IhVuD6/Tazg7mW+hg7jdoogYAABBYCN3AKThDd5s6XFru5NzXTQdz/0ETNQAAgMBC6AZOwdm5vC73czt1oIO5XzmxiVonQjcAAEBAcFsjtdNpojZhwgR3XRbwOFcTtTq8XZiTc6b79yMFKigpVWSoW3sfoo45m6hFhQarFY3xAAAAAoLbfoL/v//7vxqdZ7FYCN3wKWkm3KPbKTE6TInRYcrKK9b2Q3nqllyvzmuA+zibqJ3dNI4magAAAAHCbaF79+7d7norwGsUlJTqwLFCSeYsL5fKmqmt3Fmsrek5hG4fRxM1AACAwMOebuAkdpUvLa8faVV8VKgpNTg7mG+lmZrPo4kaAABA4PHYBtH9+/friy++0N69e1VSUlLhueeff95TlwXcytW53ISl5U7taabmF2iiBgAAEJg8EroXL16syy+/XC1bttS2bdvUqVMn7dmzR4Zh6JxzzvHEJQGPSDOxc7lT+xNuG2YYhiwW9gL7orTMfJqoAQAABCCPLC+fPHmy/vnPf2rTpk0KDw/Xp59+qn379ql///669tprPXFJwCOcncvNnOlu0yBaQRbpaIFNh3OLTasDZ8a5tPzsJjRRAwAACCQeCd1btmzR6NGjJUkhISEqLCxUdHS0HnvsMT3zzDOeuCTgEWbeo9sp3BqsluUzo+zr9l2/7j8mSercjKXlAAAAgcQjoTsqKkrFxWUzck2aNFFaWprruaysLE9cEnA7u8PQ7qzye3SbGLqlE/Z1p7Ov21fRRA0AACAweWRPd69evfT999+rY8eOuuyyy/TPf/5Tv/76q+bPn69evXp54pKA2+0/WqASu0NhIUFqWj/C1FraN4zRf5Wubcx0+ySaqAEAAAQuj4Tu559/Xnl5Zctyp0yZory8PH344Ydq06aN/u///s8TlwTczrm0vGVilIJN3oPrnOneQuj2STRRAwAACFweCd2tWrVy/X9kZKRmzpzpicsAHuW8XVhrE5uoOTk7mKcdzpPN7pA12CM7Q+AhNFEDAAAIXB75yb1Vq1bKzs6udPzYsWMVAjngzZwz3W1M3s8tSU3rRSg6LEQldodrnzl8x6by0M3ScgAAgMDjkdC9Z88e2e32SseLi4t14MABT1wScDvn7cK8YaY7KMiilIZldWyhmZrP+aW8c3kXOpcDAAAEHLcuL//iiy9c///NN98oLu6PHzDtdrsWL16sFi1auPOSgEcYhuFVM91S2b7u9XuP0UzNx9BEDQAAILC5NXRfeeWVkiSLxeK6T7eT1WpVixYt9Nxzz7nzkoBHZOeX6HihTRaLXPfINptzXzf36vYtNFEDAAAIbG4N3Q6HQ5LUsmVLrVmzRomJie58e6DOpJXPcjetF6GI0GCTqynTvlFZB3Nmun0LTdQAAAACm0e6l+/evdsTbwvUGed+7jZesJ/bqV35TPeBY4U6XmhTXITV5IpQEzRRAwAACGweu+/Qd999pxEjRqhNmzZq27atLr/8cq1YscJTlwPcyrmfu7WX7OeWpLgIq5rEhUuSth9itttXOGe6OzeLNbkSAAAAmMEjofvdd9/V4MGDFRkZqQkTJuiuu+5SRESEBg0apPfff98TlwTcynWPbi8K3VJZMzVJ2koHc59Qando88Gyr1VnZroBAAACkkeWlz/55JOaPn267rnnHtexu+++W88//7wef/xxjRw50hOXBdzG1bnci5aXS2VLzJdsPUwzNR+RlpmvQptdUaHBapnoXWMJAAAAdcMjM927du3SiBEjKh2//PLL2e8Nr1dYYteBY4WSpNZJ3tVtmg7mvuXEJmrBNFEDAAAISB4J3cnJyVq8eHGl44sXL1ZycrInLgm4za6sslnu+pFWJUSHmVxNRSd2MDcMw+RqcCo0UQMAAIBbQ/eYMWOUm5urf/7zn5owYYLuuOMOvfPOO3r33Xc1btw43X333br33ntP+31nzpypli1bKjw8XD169DhlQ7bi4mI9/PDDat68ucLCwtS6dWvNmjWrth8WAow3NlFzapUUJWuwRXnFpdp/tNDscnAKNFEDAACAW/d0v/3223r66ad1xx13qFGjRnruuef00UcfSZI6dOigDz/8UFdcccVpveeHH36oiRMnaubMmerbt69ef/11DRs2TJs3b9ZZZ51V5Wuuu+46HTp0SP/5z3/Upk0bHT58WKWlpWf88SEwOG8X5o2h2xocpNZJ0dqakattGblKjo80uyRUw+4waKIGAAAA94buE5e7XnXVVbrqqqvO+D2ff/553XrrrbrtttskSTNmzNA333yjV199VU899VSl87/++mt999132rVrl+Lj4yVJLVq0OOM6EDicncu9rYmaU4fGsdqakautGTka3LGh2eWgGmmZeSq02RVJEzUAAICA5vbu5RaL+5oFlZSUaN26dXrwwQcrHB86dKh++OGHKl/zxRdf6Nxzz9X06dP1zjvvKCoqSpdffrkef/xxRUREVPma4uJiFRcXux7n5JTNTtlsNtlsNjd9NO7nrM2ba/RFO8vvgd08PtwrP7dtkspmtzcfPO6V9dWUv4/fDb9nS5I6No6Rw14qh93kguBW/j5+4d8Yv/BVjF14m5qORbeH7pSUlFMG7yNHjtTovbKysmS329WwYcXZvIYNGyojI6PK1+zatUsrV65UeHi4FixYoKysLI0fP15Hjhypdl/3U089palTp1Y6vmjRIkVGev/y3dTUVLNL8BsOQ0o7HCzJon2/rdHCNLMrqiz3qEVSsNalZWjhwgNml3PG/HX8/nd3kKQgRZUc0cKFC80uBx7ir+MXgYHxC1/F2IW3KCgoqNF5bg/dU6dOVVyce/cv/jnEG4ZRbbB3OByyWCx67733XHU8//zzuuaaa/TKK69UOds9efJkTZo0yfU4JydHycnJGjp0qGJjvbcBks1mU2pqqoYMGSKr1Wp2OX7h9yMFKl29UqEhQbrhymFeeZunc3KK9NrW5coqDtKgIYMVZg02u6Ra8ffx+/abP0k6phF9uujSbk3MLgdu5u/jF/6N8QtfxdiFt3GukD4Vt4fuv/71r2rQoIFb3isxMVHBwcGVZrUPHz5cafbbqXHjxmratGmF4N+hQwcZhqH9+/erbdu2lV4TFhamsLDKt4ayWq0+8Q3tK3X6gr1HiyRJrRKjFB4WanI1VWsWH6J6kVYdK7Bpz9Fin78dlT+OX7vD0Jb0sm0K3ZrH+93Hhz/44/hF4GD8wlcxduEtajoO3XrLMHfu55ak0NBQ9ejRo9ISktTUVPXp06fK1/Tt21cHDx5UXl6e69j27dsVFBSkZs2aubU++J+0w+Wdy720iZpU9n3WvlGMJGlrRq7J1aAqNFEDAACAk1tD94ndy91l0qRJeuuttzRr1ixt2bJF99xzj/bu3atx48ZJKlsaPmrUKNf5I0eOVEJCgm655RZt3rxZy5cv13333acxY8ZU20gNcPLme3SfqH2jsm0P2zJqtqQFdevX/WX35z67SaxXblEAAABA3XHr8nKHw+HOt5MkXX/99crOztZjjz2m9PR0derUSQsXLlTz5s0lSenp6dq7d6/r/OjoaKWmpuof//iHzj33XCUkJOi6667TE0884fba4H+ctwtrnRRlciUnx0y3d/v1QFno7ty0nrmFAAAAwHRu39PtCePHj9f48eOrfG7OnDmVjrVv356uhqgVb79Ht1M7QrdXc4XuZt7biBEAAAB1w63LywFflp1XrKMFNlksUisv34eb0jBGFouUmVus7LziU78AdcbuMLT5YNmy/84+3uQOAAAAZ47QDZRLyyxrota0XoQiQr37NlxRYSE6K77sHvLbmO32KjRRAwAAwIkI3UA5X2mi5uTc172F0O1VaKIGAACAExG6gXJ/NFHzjdDdrryD+dZ0Oph7E+d+bl+/fzoAAADcg9ANlPOVJmpOHcpnurcdYqbbm2wqD91dmhG6AQAAQOgGXP5YXu7dtwtzcnYw35aRK7vDMLkaSGVN1H6jiRoAAABOQOgGJBWW2HXgWKEkqbWPzHQ3T4hSuDVIxaUO/Z6db3Y5EE3UAAAAUBmhG5C0OytfhiHVi7QqISrU7HJqJDjIopSG3K/bm9BEDQAAAH9G6AYk7TyhiZrF4jthydnBnNDtHWiiBgAAgD8jdAOS0sr3c7fxkc7lTu3pYO5VnE3U2M8NAAAAJ0I3oBNmuhv4RhM1p/Z0MPcaNFEDAABAVQjdgP6Y6faVe3Q7OTuY/55doPziUpOrCWwnNlFr5WPjCAAAAJ5D6EbAszsM7c4q6/7tK/fodkqIDlNSTJgkaTuz3aaiiRoAAACqQuhGwDtwtFDFpQ6FBgepWf1Is8s5bTRT8w40UQMAAEBVCN0IeGnl+7lbJkb55AylK3TTTM1UNFEDAABAVQjdCHjO0O1rS8udXB3Mmek2DU3UAAAAUB1CNwLeTlcTNd/qXO7U7oTl5YZhmFxNYNpFEzUAAABUg9CNgJfmul2Yb4alNg2iFRxk0fFCmw7lFJtdTkBy7uemiRoAAAD+jNCNgLfTR28X5hRuDVbLxLJZ+i0Z7Os2wy/7aaIGAACAqhG6EdCO5JfoaIFNktTKR5eXS380U9vGvm5T0EQNAAAA1SF0I6A5l5Y3rRehyNAQk6upPTqYm4cmagAAADgZQjcCmmtpuY/u53aig7l5aKIGAACAkyF0I6Cl+Xjncqf2jctmutMy82SzO0yuJrA4m6h1bEwTNQAAAFRG6EZA8/V7dDs1rRehmLAQ2eyGdmXmm11OQHGG7s7NWFoOAACAygjdCGg7M327c7mTxWI54X7d7OuuS7/up4kaAAAAqkfoRsAqstm1/2ihJN+f6ZbkCt1b0tnXXVdoogYAAIBTIXQjYO3KzJdhSHERViVEhZpdzhlr37ismdo2ZrrrDE3UAAAAcCqEbgSstMw/mqhZLL7fAMt12zA6mNcZmqgBAADgVAjdCFj+0kTNybm8PP14kY4X2EyuJjA4Q3cnlpYDAACgGoRuBCzXPbr9ZFlwbLhVTetFSKKZWl3ZdIAmagAAADg5QjcCVlr5rbX8JXRLfywx33aIJeaedmITtS7cLgwAAADVIHQjIDkchnb52fJyiQ7mdWlXZp4KSmiiBgAAgJMjdCMgHThWqOJSh0KDg9SsfoTZ5bgNHczrDk3UAAAAUBOEbgSkneWz3C0ToxQS7D/fBq7l5Rm5cjgMk6vxbzRRAwAAQE34RNqYOXOmWrZsqfDwcPXo0UMrVqyo0eu+//57hYSEqFu3bp4tED4nzdlErUGUyZW4V8vEKIUGBym/xK4DxwrNLsev0UQNAAAANeH1ofvDDz/UxIkT9fDDD2vDhg3q16+fhg0bpr179570dcePH9eoUaM0aNCgOqoUvuSPe3T7115ca3CQa4/6lnSWmHvKiU3UOtNEDQAAACfh9aH7+eef16233qrbbrtNHTp00IwZM5ScnKxXX331pK8bO3asRo4cqd69e9dRpfAlaYfLOpf7UxM1J+cS860ZNFPzlN1ZZU3UIqzBfveLGwAAALhXiNkFnExJSYnWrVunBx98sMLxoUOH6ocffqj2dbNnz1ZaWpreffddPfHEE6e8TnFxsYqLi12Pc3LKZrBsNptsNlstq/c8Z23eXKO32nG4LJA2rx/ud5+/tuVL5rccPO7VH5svj98Nvx+RJHVsHCOHvVQOu8kFoc758vgFGL/wVYxdeJuajkWvDt1ZWVmy2+1q2LBhheMNGzZURkZGla/ZsWOHHnzwQa1YsUIhITX78J566ilNnTq10vFFixYpMjLy9AuvY6mpqWaX4FPybNLRgrKxsX3dSv2+0dx63O34MYukYK1Ly9DChQfMLueUfHH8frU7SFKQokqOaOHChWaXAxP54vgFnBi/8FWMXXiLgoKCGp3n1aHbyWKpeDsewzAqHZMku92ukSNHaurUqUpJSanx+0+ePFmTJk1yPc7JyVFycrKGDh2q2NjY2hfuYTabTampqRoyZIisVqvZ5fiMdb8fldauUZO4cF014kKzy3G7c3OL9dqW75RVbNFFQy5WuDXY7JKq5Mvj9523fpJ0TMP7dNGl3ZuYXQ5M4MvjF2D8wlcxduFtnCukT8WrQ3diYqKCg4MrzWofPny40uy3JOXm5mrt2rXasGGD7rrrLkmSw+GQYRgKCQnRokWLdNFFF1V6XVhYmMLCwiodt1qtPvEN7St1eos9R4okSa0bRPvl561J/RDVj7TqaIFNe44Ue32jL18bv3aHoc3pZdsTujWP96na4X6+Nn6BEzF+4asYu/AWNR2HXt1ILTQ0VD169Ki0hCQ1NVV9+vSpdH5sbKx+/fVXbdy40fVn3LhxateunTZu3KiePXvWVenwYs7O5f7YRE0qWxnSvlHZCo2tGXQwdzeaqAEAAOB0ePVMtyRNmjRJN910k84991z17t1bb7zxhvbu3atx48ZJKlsafuDAAc2dO1dBQUHq1KlThdc3aNBA4eHhlY4jcKVllnUu9+fA1K5RjFbtyqaDuQf8Wn5/7rObxCo4qPI2FwAAAOBEXh+6r7/+emVnZ+uxxx5Tenq6OnXqpIULF6p58+aSpPT09FPesxs40c7D/nmP7hN1aFx227BthG63+3V/2eqBTk29e9k+AAAAvIPXh25JGj9+vMaPH1/lc3PmzDnpa6dMmaIpU6a4vyj4pCKbXfuOlnUZ9Nfl5ZLUjuXlHvPrgWOSpM6EbgAAANSAV+/pBtxtd1a+DEOKDQ9RYnSo2eV4TErDaFksUlZeiTJzi0/9AtSI3WHot4Nlv8jw9gZ1AAAA8A6EbgQUZxO11g2iq7ztnL+IDA1R8/iye8yzxNx9aKIGAACA00XoRkBJO1zWRK1NAAQmOpi7n7OJWkeaqAEAAKCGCN0IKDtPmOn2d+3Lm6nRwdx9nE3U2M8NAACAmiJ0I6CklXcuD4yZbmfoZqbbXTaVz3QTugEAAFBThG4EDIfD0K6sAJrpLl9evuNQnkrtDpOr8X12h6FNB8tDN03UAAAAUEOEbgSMA8cKVWRzKDQ4SMn1I8wux+POio9UhDVYxaUO7ckuMLscn0cTNQAAANQGoRsBw9m5vEVipEKC/X/oBwVZlFK+xJwO5meOJmoAAACoDf9PHkC5neX7uQNplrJ9Q/Z1uwtN1AAAAFAbhG4EjLTMstuFBVTopoO52zibqHUidAMAAOA0ELoRMJzLy9sEQBM1p3Z0MHcLu8PQb+VN1LrQRA0AAACngdCNgJEWiMvLyzuY7ztSqLziUpOr8V27s/KUTxM1AAAA1AKhGwHhaH6JsvNLJEmtkqJMrqbuxEeFqkFMmCSaqZ0JmqgBAACgtgjdCAjO+3M3iQtXVFiIydXUrfaNy2a7WWJeezRRAwAAQG0RuhEQXJ3LA2g/t1N7bht2xmiiBgAAgNoidCMgBGLncidn6N6aTuiuDccJTdSY6QYAAMDpInQjIAT2TPcfy8sNwzC5Gt+zKyv/hCZqgdMPAAAAAO5B6EZAcN4uLBBDU+sGUQoOsiinqFTpx4vMLsfnbDqhiVpIMH9lAgAA4PTwEyTcYtFvGcrOKza7jCoV2ezad6RAUmDdo9spLOSPGVr2dZ++X/aztBwAAAC1R+jGGVu+PVN3vLdeV7/6g3aVzyh7kz3Z+XIYUkx4iJKiw8wuxxTtypeYb6GD+WmjiRoAAADOBKEbZ6xJvXA1jgvX79kFuvrVH7RmzxGzS6og7XBZE7U2DaJlsQTmPZbpYF47NFEDAADAmSJ044y1aRCjBeP7qmtyPR0rsOmGN3/Ulz8fNLsslz/2cwfe0nInOpjXjrOJWrg1KCD7AQAAAODMEbrhFkkxYfrg77108dkNVWJ36B/zNmjmsp1e0S3b1bk8kEN347Ll5WmZeSopdZhcje9wLi0/u0kcTdQAAABQK/wUCbeJCA3WzBt66NYLWkqSpn+9TQ8t+FU2u7khzznTHYhN1JyaxIUrJjxEpQ7D9fnAqf16gKXlAAAAODOEbrhVcJBF/294R00Z0VFBFmneT/t069trlVtkM6UexwkhM5CXB1ssFtcS88VbDplcje/4dT9N1AAAAHBmCN3wiJv7ttTrN52rCGuwlm/P1LWvrVL68cI6r+Pg8UIV2RyyBlt0VnxknV/fmwzq0FCS9Oyi7Xp+0TavWPrvzWiiBgAAAHcgdMNjhnRsqI/G9lZSTJi2ZuTqyle+d4WYupKWWda5vEVCVMDvyb29XyvdObC1JOnFJTv1z49+Zn/3SdBEDQAAAO4Q2CkEHte5WZwWjO+jtg2idSinWNe9tkpLtx2us+vTRO0PQUEW3Xdxez19dWcFB1k0f8MBjZr1o44XmLP039s5m6h1bBwb8L+wAQAAQO3xkyQ8rln9SH1yRx/1aZ2g/BK7bnt7rd7/cW+dXJsmapX99fyzNOvm8xQdFqLVu47oL6/9oH1HCswuy+vQRA0AAADuQOhGnYiLsGrOLefrL+c0k91h6KEFv+rp/22Vw+HZfcVpzpnuBiwPPlH/lCR9NLa3GsWGa+fhPF018wf9sv+Y2WV5FVfoblbP3EIAAADg0wjdqDOhIUF69toumjQkRZL02ndp+scHG1Rks3vsmn90Lmem+886NonVgjv7qH2jGGXlFev611crdTOdzaXyJmrMdAMAAMANCN2oUxaLRRMGtdXz13WVNdii//6Srhvf+lFH8kvcfq1jBSXKyit7X0J31RrHRejjcb11YUqSCm123f7OWs35frfZZZmOJmoAAABwF0I3THH1Oc309pjzFRMeorW/H9XVM7/X7qx8t17DOcvdOC5cUWEhbn1vfxITbtV/Rp+rv52fLMOQpny5WY9/tVl2Dy/992Y0UQMAAIC78NMkTNOndaLm39FHTetFaE92ga6e+b3W7jnitvdPO1wW4pnlPjVrcJCmXdVZ91/STpL0n5W7Nf69dSos8dzSf29GEzUAAAC4i0+E7pkzZ6ply5YKDw9Xjx49tGLFimrPnT9/voYMGaKkpCTFxsaqd+/e+uabb+qwWpyOtg1jtODOPuraLE5HC2wa+daP+uqXg255bzqXnx6LxaLxA9rohb92U2hwkL757ZD+9uZqZeUVm11anXOG7k6EbgAAAJwhrw/dH374oSZOnKiHH35YGzZsUL9+/TRs2DDt3Vv1LaeWL1+uIUOGaOHChVq3bp0GDhyoESNGaMOGDXVcOWqqQUy4Pri9t4Z0bKiSUofuen+DXvsuTYZxZsub/7hHN3tyT8cV3Zrq3dt6Ki7Cqo37jumqmd+7foERCBwOQ5sP5kiSutC5HAAAAGfI60P3888/r1tvvVW33XabOnTooBkzZig5OVmvvvpqlefPmDFD999/v8477zy1bdtW06ZNU9u2bfXll1/WceU4HRGhwXrtxh66pW8LSdLT/9uqf322SaV2R63f09W5nJnu03Z+y3jNH99HZ8VHat+RQl098wf9tNt9S/+92e7sfOUVl9JEDQAAAG7h1aG7pKRE69at09ChQyscHzp0qH744YcavYfD4VBubq7i4+M9USLcKDjIokdHnK1HhneUxSK99+Ne3TZ3rfKKS0/7vYpL7dp7pECS1IY93bXSOila88f3UbfkejpeaNONb/2ozzceMLssj/t1P03UAAAA4D5e3dI5KytLdrtdDRs2rHC8YcOGysjIqNF7PPfcc8rPz9d1111X7TnFxcUqLv5j32pOTtnSUpvNJpvNVovK64azNm+usTZu6tlMjWNDdc/Hv2jZtkxd8+oPevOm7moUG17j99h5KFcOQ4oOC1G98CC/+xzVlbiwIM29uYf++cmvSt1yWHd/sFF7s/I09sKWslgsZ/Te3jp+f953VJJ0duMYr6sN3sNbxy9QE4xf+CrGLrxNTceiV4dupz//cG8YRo1+4J83b56mTJmizz//XA0aNKj2vKeeekpTp06tdHzRokWKjIw8/YLrWGpqqtkleMT49tKbW4O1NSNXw1/4TmPb29W0hqt9N2ZbJAUrwWrT//73P4/WGQgujZNsjYO0LD1Iz327Uz/8sl3XtnTIHRPB3jZ+l28KlmSRPWuPFi7knuU4OW8bv8DpYPzCVzF24S0KCgpqdJ5Xh+7ExEQFBwdXmtU+fPhwpdnvP/vwww9166236uOPP9bgwYNPeu7kyZM1adIk1+OcnBwlJydr6NChio2Nrf0H4GE2m02pqakaMmSIrFar2eV4xIijhbrtnfVKy8zXK9vC9NL1XdWvbeIpX7draZq0PU3ntG2qSy/tVAeV+r/hkt5ZvVdPLNyqVYeDFBKbpBeu76qY8Nr9NeKN49fhMPTQ+iWS7Bp5yQVq1yjG7JLgpbxx/AI1xfiFr2Lswts4V0ifileH7tDQUPXo0UOpqam66qqrXMdTU1N1xRVXVPu6efPmacyYMZo3b54uu+yyU14nLCxMYWFhlY5brVaf+Ib2lTpro2UDq+bf0Vdj312r1buO6O/vbtCTV3bSX88/66Sv23OkUJKU0jDWbz83ZhjTr7WSE6I1Yd4GrdiZrZH/WaPZt5ynxnERtX5Pbxq/aZl5yi+2K9wapPZN6rGnG6fkTeMXOF2MX/gqxi68RU3Hodf/RDlp0iS99dZbmjVrlrZs2aJ77rlHe/fu1bhx4ySVzVKPGjXKdf68efM0atQoPffcc+rVq5cyMjKUkZGh48ePm/Uh4AzFRVo1d0xPXd29qewOQw/O/1XTv94qh6P6W4q5OpfTfdrthnRsqA/H9lJidJi2ZuTqqld+cN1iy9dtOkATNQAAALiX1/9Uef3112vGjBl67LHH1K1bNy1fvlwLFy5U8+bNJUnp6ekV7tn9+uuvq7S0VHfeeacaN27s+nP33Xeb9SHADUJDgvTcdV01cXBbSdLMZWm6+8ONKrLZK53rcBhKO5wviduFeUqXZvW0YHwftWkQrYycIl372g/6bnum2WWdMWfn8s5N40yuBAAAAP7Cq5eXO40fP17jx4+v8rk5c+ZUeLxs2TLPFwRTWCwWTRycomb1I/Xgp7/oy58PKuN4od646VzVjwp1nZeeU6RCm13WYIvOivf+Rni+Kjk+Up+O6+Na+j9mzpoaLf33Zr+Uz3R3InQDAADATbx+phv4s2t6NNPcMecrJjxEa/Yc1dWv/qDfs/Ndz6cdLlta3jwhSlaWCHtUVUv///3NyZf+eyuHw3Atk+/cjNANAAAA9yCRwCf1aZOoT+/oo6b1IrQ7K19XzfxB634vu7/yzsPs565LzqX/EwaVLf1/ZWmaJn64UcWllZf+e7Pd2fnKKy5VuDVIbZLYlgAAAAD3IHTDZ6U0jNGCO/uoS7M4Hckv0cg3V2vhr+muJmpt2M9dZywWiyYNSdG/r+mikCCLvvj5oG566ycdKygxu7QaczZR60ATNQAAALgRP1nCpzWICdcHt/fS4A4NVVzq0Pj31uu/v6ZLklozW1nnrj03WXNuOV8xYSH6ac8RXf3qD9qbXWB2WTXibKLWhf3cAAAAcCNCN3xeZGiIXr+ph27u00KSdKzAJomZbrNc0DZRn9zRR03iwrUrM19Xzfxe6/ceNbusU/qVJmoAAADwAEI3/EJwkEVTLj9b/294R1ksUoQ1mJluE7VrFKMFd/bV2U1ilZ1for+9sVpfb8owu6xqORyGfqOJGgAAADyA0A2/cusFLfXZ+L6ad3svRYX5xB3x/FbD2HB9NLa3BrZLUnGpQ3e8t05vrdglw/C+zuY0UQMAAICnELrhd7om11O35HpmlwFJUWEhenPUubqh51kyDOmJ/27R1C83y+5ltxSjiRoAAAA8hZ8uAXhUSHCQnriykyYPay9JmvPDHo19Z50KSkpNruwPziZqndnPDQAAADdj/S0Aj7NYLBrbv7Wa1Y/UPR9t1LdbDunGWYXqFG6Rfs1QTGSoIqwhigwNVmRosCJCgxUVGqKI0GCFhQTJYrF4tD5nEzVCNwAAANyN0A2gzlzWpbEaxYXptrfX6tcDOfpVwZqX9stJXxNkKetQH+EM5NZgRYWFuP6/LKT/Edgjy/8/wvU42BXoo8LKz7UGuwK9YYgmagAAAPAYQjeAOtWjebwWjO+rl5fs0G+79im6XoKKbA4VlJSqsMSuAptdBSV2lZQ6JEkOQ8orLlVesfuXoweVd7rPL7HTRA0AAAAeQegGUOdaJEbpqavO1sKFv+vSS8+T1WqtdE6p3aECm70siJfY/wjl5f9fUP7/rmO2sufzi+0qtP35+RMCfbFdJfY/An1+iV2SdEGbRJqoAQAAwO0I3QC8UkhwkGKDgxQbXjmQn6k/B/riUrtaJTLLDQAAAPcjdAMIOJ4M9AAAAMCJWEsJAAAAAICHELoBAAAAAPAQQjcAAAAAAB5C6AYAAAAAwEMI3QAAAAAAeAihGwAAAAAADyF0AwAAAADgIYRuAAAAAAA8hNANAAAAAICHELoBAAAAAPAQQjcAAAAAAB5C6AYAAAAAwENCzC7AGxmGIUnKyckxuZKTs9lsKigoUE5OjqxWq9nlAKeF8QtfxviFL2P8wlcxduFtnHnRmR+rQ+iuQm5uriQpOTnZ5EoAAAAAAN4sNzdXcXFx1T5vMU4VywOQw+HQwYMHFRMTI4vFYnY51crJyVFycrL27dun2NhYs8sBTgvjF76M8QtfxviFr2LswtsYhqHc3Fw1adJEQUHV79xmprsKQUFBatasmdll1FhsbCx/8cBnMX7hyxi/8GWMX/gqxi68yclmuJ1opAYAAAAAgIcQugEAAAAA8BBCtw8LCwvTo48+qrCwMLNLAU4b4xe+jPELX8b4ha9i7MJX0UgNAAAAAAAPYaYbAAAAAAAPIXQDAAAAAOAhhG4AAAAAADyE0A0AAAAAgIcQugEAAAAA8BBCNwAAAAAAHkLoBgAAAADAQwjdAAAAAAB4CKEbAAAAAAAPIXQDAAAAAOAhhG4AAAAAADyE0A0AAAAAgIcQugEAAAAA8BBCNwAAAAAAHkLoBgAAAADAQwjdAOBHLBZLjf4sW7bslO81bdo0ffbZZ2dcz5QpU6p9/vPPP5fFYtFrr71W7TmpqamyWCx6/vnna3zdm2++WS1atDiNSt3HYrHorrvuqvK5Tz75pNLn3zAMffDBB+rXr58aNGig8PBwNWvWTBdffLHeeuutSu/t/BMcHKz69eura9euGjt2rFavXn1adebn5+vpp59W9+7dFR0draioKHXr1k3Tpk1Tfn7+aX/cnrJs2bIaj2tJatGihW6++WZziz7BnDlzZLFYtGfPnjN+r9WrVyskJET//Oc/q3x+2rRpslgs+vrrr8/4WgAA9wkxuwAAgPusWrWqwuPHH39cS5cu1ZIlSyoc79ix4ynfa9q0abrmmmt05ZVXurPECi677DI1atRIs2bN0rhx46o8Z/bs2bJarbrppps8VoeZJk+erGeeeUZ///vfdd999ykmJka///67lixZos8//1y33XZbhfOvueYa/fOf/5RhGMrJydGmTZs0d+5cvfHGG5owYYJeeOGFU17z0KFDGjx4sNLS0jRhwgRNnz5dkrRkyRI98cQTmjdvnr799ls1bNjQIx/z6TjnnHMqjeurrrpKrVu31rPPPlvp/AULFig2Nrauyjulyy67TKtWrVLjxo3P+L169eqlBx54QE8//bSuuuoqXXDBBa7nNm3apKlTp2rs2LG65JJLzvhaAAD3IXQDgB/p1atXhcdJSUkKCgqqdNxbhISEaNSoUZo+fbo2bdqkTp06VXj+2LFjWrBggS6//HIlJSWZVKXnFBYWasaMGRo1apTeeOONCs/dfPPNcjgclV7TsGHDCl/Piy++WBMnTtTtt9+uF198Ue3bt9cdd9xx0uuOGjVKW7du1dKlSysEtyFDhuiyyy7TwIEDNXr06DqfMS0sLFRERESFY7GxsZXGb1hYmOrVq1fluO7evbtHazxdSUlJbh27jz76qP773//q5ptv1i+//KLIyEiVlpbq5ptvVrNmzar8RQQAwFwsLweAAHPkyBGNHz9eTZs2VWhoqFq1aqWHH35YxcXFrnMsFovy8/P19ttvu5buDhgwQJKUmZmp8ePHq2PHjoqOjlaDBg100UUXacWKFbWq59Zbb5VUNqP9Z/PmzVNRUZHGjBkjSXrllVd04YUXqkGDBoqKilLnzp01ffp02Wy2k15jz549slgsmjNnTqXnqloCv2PHDo0cOVINGjRQWFiYOnTooFdeeaVWH9/J5Ofnq7i4uNpZ0KCgmv0zHRwcrJdfflmJiYn697//fdJz165dq0WLFunWW2+tELidLrjgAo0ZM0bffPON1q1bJ6ksyPbr16/SuXa7XU2bNtXVV1/tOlZSUqInnnhC7du3V1hYmJKSknTLLbcoMzOzwmtbtGih4cOHa/78+erevbvCw8M1derUGn28J/Pn5eXO5envv/++HnjgATVu3FjR0dEaMWKEDh06pNzcXN1+++1KTExUYmKibrnlFuXl5VV4T8MwNHPmTHXr1k0RERGqX7++rrnmGu3ateuU9VS1vHzAgAHq1KmT1qxZo379+ikyMlKtWrXS008/XeUvWk4UGhqquXPnat++fXrggQckSU899ZQ2bNigOXPmKDo6+rS/Bl999ZW6d++uiIgIdejQQV999ZWr9g4dOigqKkrnn3++1q5dW6metWvX6vLLL1d8fLzCw8PVvXt3ffTRR1V+DpYuXao77rhDiYmJSkhI0NVXX62DBw+e8nMIAL6O0A0AAaSoqEgDBw7U3LlzNWnSJP33v//VjTfeqOnTp1cITqtWrVJERIQuvfRSrVq1SqtWrdLMmTMllYV26Y8Zt9mzZ6tVq1YaMGBAjfaK/1lKSoouuOACvfvuu5XC8+zZs9W0aVNdfPHFkqS0tDSNHDlS77zzjr766ivdeuut+ve//62xY8fW8jNS2ebNm3Xeeedp06ZNeu655/TVV1/psssu04QJE9wSCk+UmJioNm3aaObMmXr++ee1detWGYZRq/eKiIjQ4MGDtXv3bu3fv7/a81JTUyXppNsGnM85z73lllu0cuVK7dixo8J5ixYt0sGDB3XLLbdIkhwOh6644go9/fTTGjlypP773//q6aefVmpqqgYMGKDCwsIKr1+/fr3uu+8+TZgwQV9//bX+8pe/nO6HXWMPPfSQDh8+rDlz5ui5557TsmXL9Le//U1/+ctfFBcXp3nz5un+++/XO++8o4ceeqjCa8eOHauJEydq8ODB+uyzzzRz5kz99ttv6tOnjw4dOlSrejIyMnTDDTfoxhtv1BdffKFhw4Zp8uTJevfdd0/52i5dumjq1Kl65ZVX9MILL+jxxx/XpEmT1K9fv9P+Gvz888+aPHmyHnjgAc2fP19xcXG6+uqr9eijj+qtt97StGnT9N577+n48eMaPnx4hdcvXbpUffv21bFjx/Taa6/p888/V7du3XT99ddX+Quu2267TVarVe+//76mT5+uZcuW6cYbb6zV5w8AfIoBAPBbo0ePNqKiolyPX3vtNUOS8dFHH1U475lnnjEkGYsWLXIdi4qKMkaPHn3Ka5SWlho2m80YNGiQcdVVV1V4TpLx6KOPnvI9Zs+ebUgy5s+f7zq2adMmQ5Lx8MMPV/kau91u2Gw2Y+7cuUZwcLBx5MgR13OjR482mjdv7nq8e/duQ5Ixe/bsSu/z5xovvvhio1mzZsbx48crnHfXXXcZ4eHhFa5TFUnGnXfeWeVzH3/8sSHJWLp0qevYTz/9ZJx11lmGJEOSERMTYwwfPtyYO3eu4XA4avzehmEYDzzwgCHJ+PHHH6s9Z9y4cYYkY+vWrdWes2XLFkOScccddxiGYRhZWVlGaGio8dBDD1U477rrrjMaNmxo2Gw2wzAMY968eYYk49NPP61w3po1awxJxsyZM13HmjdvbgQHBxvbtm2rto7qNG/e3Ljsssuqfe7Ecbt06VJDkjFixIgK502cONGQZEyYMKHC8SuvvNKIj493PV61apUhyXjuuecqnLdv3z4jIiLCuP/++09aq3Ns796923Wsf//+VX6dOnbsaFx88cUnfT+n0tJSo3fv3oYk4+yzzzaKiooMwzj9r0FERISxf/9+17GNGzcakozGjRsb+fn5ruOfffaZIcn44osvXMfat29vdO/e3fX1dxo+fLjRuHFjw263V/gcjB8/vsJ506dPNyQZ6enpNfqYAcBXMdN9CsuXL9eIESPUpEkTWSyW0+7kO2XKlCo7rEZFRXmmYAA4iSVLligqKkrXXHNNhePO5biLFy+u0fu89tprOueccxQeHq6QkBBZrVYtXrxYW7ZsqVVd1113nWJiYjRr1izXsVmzZslisbhmUSVpw4YNuvzyy5WQkKDg4GBZrVaNGjVKdrtd27dvr9W1T1RUVKTFixfrqquucu2Vdf659NJLVVRUdNpdwk/lvPPO086dO/X111/roYceUu/evbV48WKNGjVKl19++WnNfJ/OuTV5H2dH8ISEBI0YMUJvv/22a/nz0aNH9fnnn2vUqFEKCSlrEfPVV1+pXr16GjFiRIXPXbdu3dSoUaNKKyG6dOmilJQUt9R8KsOHD6/wuEOHDpLKGp39+fiRI0dcS8y/+uorWSwW3XjjjRU+pkaNGqlr1661Wt0hSY0aNdL5559f4ViXLl30+++/1+j1wcHBevTRRyWVzeKHhYW56j2dr0G3bt3UtGnTCh+/VLYEPjIystJxZ307d+7U1q1bdcMNN0hSpe+V9PR0bdu2rcK1Lr/88kof74nvCQD+itB9Cvn5+eratatefvnlWr3+3nvvVXp6eoU/HTt21LXXXuvmSgHg1LKzs9WoUSNXmHJq0KCBQkJClJ2dfcr3eP7553XHHXeoZ8+e+vTTT7V69WqtWbNGl1xySaWlqzUVGRmpv/71r/r666+VkZGh0tJSvfvuu+rfv79at24tSdq7d6/69eunAwcO6IUXXtCKFSu0Zs0a117r2l77RNnZ2SotLdVLL70kq9Va4c+ll14qScrKyjrpewQHB8tut1f5XGlpqSTJarVWOG61WnXxxRfrySef1DfffKN9+/ZpwIAB+uqrr/S///2vxvU7w0uTJk2qPeess86SJO3evbvac5z7j5OTk13HxowZowMHDriWnM+bN0/FxcUV9k8fOnRIx44dU2hoaKXPX0ZGRqXPnTs6etdUfHx8hcehoaEnPV5UVCSp7GMyDEMNGzas9DGtXr36lOOhOgkJCZWOhYWFndY4dgZtZ83Oek/na3Amnxep7OecP19n/Pjxkip/r/z5Y3bW747vXQDwZnQvP4Vhw4Zp2LBh1T5fUlKif/3rX3rvvfd07NgxderUSc8884yr4VB0dLSio6Nd5//888/avHnzSe9JCwCekpCQoB9//FGGYVQI3ocPH1ZpaakSExNP+R7vvvuuBgwYoFdffbXC8dzc3DOq7dZbb9Wbb76puXPnKiUlRYcPH9Zzzz3nev6zzz5Tfn6+5s+fr+bNm7uOb9y48ZTvHR4eLkkVmsVJqvRLhvr16ys4OFg33XST7rzzzirfq2XLlie9VsOGDXXgwIEqn3MeP9WtuBISEjRx4kQtW7ZMmzZtcgX+kyksLNS3336r1q1bq1mzZtWeN2TIED300EP67LPPqr21lHNV15AhQ1zHLr74YjVp0kSzZ8/WxRdfrNmzZ6tnz54Vbj/nbJBVXdfzmJiYCo///Msfb5SYmCiLxaIVK1a4QuKJqjpmptP9GpzJdaSyW96d2A/iRO3atXPLtQDA1xG6z9Att9yiPXv26IMPPlCTJk20YMECXXLJJfr111/Vtm3bSue/9dZbSklJqbILLAB42qBBg/TRRx/ps88+01VXXeU6PnfuXNfzTtXNulkslkpB45dfftGqVasqzIyerp49e6pTp06aPXu2UlJSFBcXV6GxljOgnXhtwzD05ptvnvK9GzZsqPDwcP3yyy8Vjn/++ecVHkdGRmrgwIHasGGDunTpUmEGsaYGDx6s+fPnKzMzs8KtogzD0Mcff6wWLVqoTZs2kiSbzaacnJwqZz2dS/VPNmvtZLfbdddddyk7O1tPPfXUSc8999xzNXToUP3nP//RTTfdpL59+1Z4fuXKlZo1a5YuueQS9ejRw3Xc+cuIGTNmaMWKFVq7dq1ef/31Cq8dPny4PvjgA9ntdvXs2fOUdfuC4cOH6+mnn9aBAwd03XXXmV3OKdXV16Bdu3Zq27atfv75Z02bNs1j1wEAf0DoPgNpaWmaN2+e9u/f7/qh6N5779XXX3+t2bNnV/pHqLi4WO+9954efPBBM8oFAI0aNUqvvPKKRo8erT179qhz585auXKlpk2bpksvvVSDBw92ndu5c2ctW7ZMX375pRo3bqyYmBi1a9dOw4cP1+OPP65HH31U/fv317Zt2/TYY4+pZcuWruXTtTVmzBhNmjRJ27Zt09ixYyvcs3nIkCEKDQ3V3/72N91///0qKirSq6++qqNHj57yfZ17cmfNmqXWrVura9eu+umnn/T+++9XOveFF17QBRdcoH79+umOO+5QixYtlJubq507d+rLL7/UkiVLTnqtRx55RF9++aV69uypBx98UG3btlVGRobefPNNrVmzpsLtlI4fP64WLVro2muv1eDBg5WcnKy8vDwtW7ZML7zwgjp06FBpFvHQoUNavXq1DMNQbm6uNm3apLlz5+rnn3/WPffco7///e+n/HzMnTtXgwcP1tChQzVhwgTXL1uWLFmiF154Qe3bt6+y+/SYMWP0zDPPaOTIkYqIiND1119f4fm//vWveu+993TppZfq7rvv1vnnny+r1ar9+/dr6dKluuKKKyr8sscX9O3bV7fffrtuueUWrV27VhdeeKGioqKUnp6ulStXqnPnzqe8L3pdqsuvweuvv65hw4bp4osv1s0336ymTZvqyJEj2rJli9avX6+PP/7YLdcBAF9H6D4D69evl2EYlZrAFBcXVzlrMX/+fOXm5mrUqFF1VSIAVBAeHq6lS5fq4Ycf1r///W9lZmaqadOmuvfee11NmZxeeOEF3XnnnfrrX/+qgoIC9e/fX8uWLdPDDz+sgoIC/ec//9H06dPVsWNHvfbaa1qwYEGtm0o53XTTTXrwwQdVUlLiuje3U/v27fXpp5/qX//6l66++molJCRo5MiRmjRp0km3ATk5l6pPnz5deXl5uuiii/TVV1+pRYsWFc7r2LGj1q9fr8cff1z/+te/dPjwYdWrV09t27at0TLv1q1b66efftLUqVM1ZcoUZWZmKjo6Wueff75SU1N10UUXuc6NjY3V1KlTtXjxYj300EM6dOiQLBaLWrZsqYkTJ+qBBx6o0MxKkj755BN98sknCgoKUnR0tJo3b67evXvrtddeU69evU5Zn1Q287969Wq9+OKL+uijj/Tiiy9Kktq0aaOHHnpIEydOrLLhZ0pKivr06aMffvhBN9xwg+Li4io8HxwcrC+++EIvvPCC3nnnHT311FMKCQlRs2bN1L9/f3Xu3LlG9Xmb119/Xb169dLrr7+umTNnyuFwqEmTJurbt2+lZmhmq8uvwcCBA/XTTz/pySef1MSJE3X06FElJCSoY8eOPrEqAADqisVwV6vTAGCxWLRgwQLX/Us//PBD3XDDDfrtt98UHBxc4dzo6Gg1atSowrFBgwYpNjZWCxYsqKuSAQAAAAAmYqb7DHTv3l12u12HDx8+5R7t3bt3a+nSpfriiy/qqDoAAAAAgNkI3aeQl5ennTt3uh7v3r1bGzduVHx8vFJSUnTDDTdo1KhReu6559S9e3dlZWVpyZIl6ty5c4VliLNmzVLjxo1rtAQSAAAAAOAfWF5+CsuWLdPAgQMrHR89erTmzJkjm82mJ554QnPnztWBAweUkJCg3r17a+rUqa59Uw6HQ82bN9eoUaP05JNP1vWHAAAAAAAwCaEbAAAAAAAPCTK7AAAAAAAA/BWhGwAAAAAADyF0AwAAAADgIXQvr4LD4dDBgwcVExMji8VidjkAAAAAAC9jGIZyc3PVpEkTBQVVP59N6K7CwYMHlZycbHYZAAAAAAAvt2/fPjVr1qza5wndVYiJiZFU9smLjY01uZrq2Ww2LVq0SEOHDpXVajW7HOC0MH7hyxi/AWTzZumOO6SICCky0txaMjOl7dullBQpKanWb2MLCdGi0aM19O23ZS0trd2bFBRIhYXSq69KHTvWuha/s2SJdMstUkiIFB5udjVSbq50/LgUFyeV/3xrmqIiqbRUmj1buuiiWr0Ff/fC2+Tk5Cg5OdmVH6tD6K6Cc0l5bGys14fuyMhIxcbG8hcPfA7jF76M8RtAoqOl4GApNrYsuJipqEiyWMpqSkio9dvYQkLKxm9CQu1Dd0iIVFJSVosX/6xU56Kiyr5GkZFl/2+2wsKy/1qt5ofuoKCyXwJERdV6zPB3L7zVqbYk00gNAAAAAAAPIXQDAAAAAOAhhG4AAAAAADyE0A0AAAAAgIcQugEAAAAA8BBCNwAAAAAAHkLoBgAAAADAQ/wydLdo0UIWi6XSnzvvvNPs0gAAAAAAASTE7AI8Yc2aNbLb7a7HmzZt0pAhQ3TttdeaWBUAAAAAIND4ZehOSkqq8Pjpp59W69at1b9/f5MqAgAAAAAEIr9cXn6ikpISvfvuuxozZowsFovZ5QAAAAAAAohfznSf6LPPPtOxY8d08803V3tOcXGxiouLXY9zcnIkSTabTTabzdMl1pqzNm+uEagO4xe+jPEbQBwOKTRUslqlEJN/bAoNlSIiyv57BrXYyl9rO5OPx2otq8PhkPg++INhSOHhZX/CwsyupqyOiIgzqueDZucqPTxOI9J/UZv8zNrXYreXjRXDqPWY4e9eeJuajkWLYRiGh2sx1cUXX6zQ0FB9+eWX1Z4zZcoUTZ06tdLx999/X5GRkZ4sDwAAAPBaz/4SrH35Ft3Qxq7zk/w6NgCnraCgQCNHjtTx48cVGxtb7Xl+Hbp///13tWrVSvPnz9cVV1xR7XlVzXQnJycrKyvrpJ88s9lsNqWmpmrIkCGyWq1mlwOcFsYvfBnjN4Bs2SKNGyclJEhm/0yQni79/LPUpYvUpEmt38YWEqLUq6/WkPnzZS0trd2b5ORI2dnSa69JHTrUuha/s3SpdPPNUkyM5A0TN5mZ0pEjZeM3MfG0X37EGqleAx+UYQnS90ufVoOSvNrXUlAg5eZKc+ZIAwfW6i34uxfeJicnR4mJiacM3X69vHz27Nlq0KCBLrvsspOeFxYWprAqltxYrVaf+Ib2lTqBqjB+4csYvwEgKEgqKSlbDlvbgOouJSVSYWHZf91Qi7W0tPah22YrqyMoqGypOcpYLFJRUdnnJDjY7GrKaiksLPvvCRNMNfVTQnsZliC1z0lX09zsM6+lqKjsc3SGY4a/e+EtajoO/baRmsPh0OzZszV69GiFmL0HCwAAAPAxK5JSJEkXZG43uRLAt/lt6P7222+1d+9ejRkzxuxSAAAAAJ9iSFqZ1FaS1O8woRs4E347BTx06FD58XZ1AAAAwGPSopN0MLK+Qu02nX9kt9nlAD7Nb2e6AQAAANSOc2n5eUf2KMLOLbqAM0HoBgAAAFDByvLQ3Y/93MAZI3QDAAAAcCmxBGtVYmtJ7OcG3IHQDQAAAMBlfXxzFYSEKaE4Tx1y0s0uB/B5hG4AAAAALs6u5RdkbleQaEwMnClCNwAAAACXP+7PvcPkSgD/QOgGAAAAIEk6ao3UL/WaSaKJGuAuhG4AAAAAkqQfEtvIsAQpJSdDjYpyzC4H8AuEbgAAAACSpBUNnEvLmeUG3IXQDQAAAECGpBXlTdRYWg64D6EbAAAAgHZHJepAZLxC7aXqmb3L7HIAv0HoBgAAAODqWt7jyB5F2m0mVwP4D0I3AAAAAFfoZmk54F6EbgAAACDA2SxBWpXUWpJ0IaEbcCtCNwAAABDgNtRvrvyQcMUX56nj8YNmlwP4FUI3AAAAEOBWlnct75u5Q0EyTK4G8C+EbgAAACDALXft595hciWA/yF0AwAAAAHsuDVCv9RPliRdwH5uwO0I3QAAAEAA+yGxjRyWILXJPaQmRcfNLgfwO4RuAAAAIIA5l5Yzyw14BqEbAAAACFCG/rg/94WHCd2AJxC6AQAAgAD1e1SC9kfFy+ooVc/sXWaXA/glQjcAAAAQoJyz3Occ+V1R9hKTqwH8E6EbAAAACFCupeXs5wY8htANAAAABCCbJUirEltLkvqxnxvwGEI3AAAAEIB+rn+Wcq0RqleSr7OPHzC7HMBvEboBAACAALQiqa0kqW/mDgXLMLkawH8RugEAAIAAxH5uoG4QugEAAIAAczwkXBvrnyVJuiBzh8nVAP6N0A0AAAAEmFWJbeSwBKlV7mE1LTxmdjmAXyN0AwAAAAFmRYOypeX9WFoOeByhGwAAAAgwzv3chG7A8wjdAAAAQAD5PTJBe6MSFOKwq1fWLrPLAfweoRsAAAAIIM5bhZ1z9HdF24tNrgbwf4RuAAAAIICsdC4tP8zScqAuELoBAACAAFFqCdL3SW0ksZ8bqCt+G7oPHDigG2+8UQkJCYqMjFS3bt20bt06s8sCAAAATPNzvWTlWiMUV1Kgzsf2m10OEBBCzC7AE44ePaq+fftq4MCB+t///qcGDRooLS1N9erVM7s0AAAAwDQry/dz983aoWAZJlcDBAa/DN3PPPOMkpOTNXv2bNexFi1amFcQAAAA4AVWsJ8bqHN+Gbq/+OILXXzxxbr22mv13XffqWnTpho/frz+/ve/V3l+cXGxiov/6NyYk5MjSbLZbLLZbHVSc204a/PmGoHqMH7hyxi/AcThkEJDJatVCjH5x6bQUCkiouy/Z1CLrfy1tjP5eKzWsjocDonvgz8YhhQeXvYnLMzsasrqiIhw1ZMbEqYN9c+SJPU6/rtsdVmj3V42Vgyj1mOGv3vhbWo6Fi2GYfjdupLw8HBJ0qRJk3Tttdfqp59+0sSJE/X6669r1KhRlc6fMmWKpk6dWun4+++/r8jISI/XCwAAAHjar0csemtbsJLCDf2ru93scgCfV1BQoJEjR+r48eOKjY2t9jy/DN2hoaE699xz9cMPP7iOTZgwQWvWrNGqVasqnV/VTHdycrKysrJO+skzm81mU2pqqoYMGSKr1Wp2OcBpYfzClzF+A8iWLdK4cVJCgmT2zwTp6dLPP0tdukhNmtT6bWwhIUq9+moNmT9f1tLS2r1JTo6UnS299prUoUOta/E7S5dKN98sxcRI3jBxk5kpHTlSNn4TEzWlw3C9d1Yv3bh3tR7d8lXd1lJQIOXmSnPmSAMH1uot+LsX3iYnJ0eJiYmnDN1+uby8cePG6tixY4VjHTp00Kefflrl+WFhYQqrYnmN1Wr1iW9oX6kTqArjF76M8RsAgoKkkpKy5bC1DajuUlIiFRaW/dcNtVhLS2sfum22sjqCgsqWmqOMxSIVFZV9ToKDza6mrJbCwrL/Fhfr+/jWkqQLM7bKesKEU53VUlRU9jk6wzHD373wFjUdh355y7C+fftq27ZtFY5t375dzZs3N6kiAAAAwDz7IutrT3SSgh129c7aaXY5QEDxy9B9zz33aPXq1Zo2bZp27typ999/X2+88YbuvPNOs0sDAAAA6pyza3n3o3sVU1rHs9xAgPPL0H3eeedpwYIFmjdvnjp16qTHH39cM2bM0A033GB2aQAAAECdc90qLJNbhQF1zS/3dEvS8OHDNXz4cLPLAAAAAExlt1j0fWIbSYRuwAx+OdMNAAAAoMwviS2VExqpGFuhuhzbb3Y5QMAhdAMAAAB+bGXTsyVJfTN3KsRwmFwNEHgI3QAAAIAfW9G0kySWlgNmIXQDAAAAfiovNELrG5Tdn5vQDZiD0A0AAAD4qdXJnVUaFKLm+Vk6q+CI2eUAAYnQDQAAAPipFS27S5L6HWaWGzALoRsAAADwUytalIXuCzJ3mFwJELgI3QAAAIAf2h+doF0JzRTssKt31k6zywECFqEbAAAA8EMry7uWd8vcpbjSIpOrAQIXoRsAAADwQ85bhV1w4DeTKwECG6EbAAAA8DN2WfR9k46SpAsPbDK5GiCwEboBAAAAP7OpXlMdC49WTHG+umbuMrscIKARugEAAAA/szIpRZLU+/dfFGI4TK4GCGyEbgAAAMDPLC8P3f12rze5EgCEbgAAAMCP5AeHan18c0lSvz0bzS0GAKEbAAAA8Cc/JrSSLShEyTmH1fxYutnlAAGP0A0AAAD4keUNypeWH9gki8m1ACB0AwAAAH5lhXM/N/fnBrwCoRsAAADwEwfD45QW01BBhkN9Dm42uxwAInQDAAAAfsN5q7CuR/cprqTA5GoASIRuAAAAwG+49nNnbje5EgBOhG4AAADADzhk0feJbSURugFvQugGAAAA/MBvcU10NCxK0bYidTu61+xyAJQjdAMAAAB+YHn5fu5eWWmyGg6TqwHgROgGAAAA/ICzidqFLC0HvAqhGwAAAPBxBcFWrU1oIUm6gNANeBVCNwAAAODjfkxoJVtQiJoWHFHL/CyzywFwAkI3AAAA4ONWOJeWH94ui8m1AKiI0A0AAAD4OGfoviBzh8mVAPgzQjcAAADgwzLCY7UjtpEshkN9swjdgLchdAMAAAA+zDnL3eXYftWzFZpcDYA/I3QDAAAAPswZuvvRtRzwSoRuAAAAwEc5ZNH3SW0lSf0OE7oBb0ToBgAAAHzU5tjGyg6LVlRpkbof3Wt2OQCqQOgGAAAAfNSKBmVLy3tl7VKoYTe5GgBV8cvQPWXKFFkslgp/GjVqZHZZAAAAgFutZD834PVCzC7AU84++2x9++23rsfBwcEmVgMAAAC4V2GwVWviW0qSLiB0A17Lb0N3SEgIs9sAAADwWz/Gt1JJcIiaFBxV67xMs8sBUA2/Dd07duxQkyZNFBYWpp49e2ratGlq1apVlecWFxeruLjY9TgnJ0eSZLPZZLPZ6qTe2nDW5s01AtVh/MKXMX4DiMMhhYZKVqsUYvKPTaGhUkRE2X/PoBZb+WttZ/LxWK1ldTgcEt8HfzAMKTy87E9YmMcvt7xxe0lS3yNpKq3qeuHhZWOmjuo5Kbu9bKwYRq3HDH/3wtvUdCxaDMMwPFxLnfvf//6ngoICpaSk6NChQ3riiSe0detW/fbbb0pISKh0/pQpUzR16tRKx99//31FRkbWRckAAADAaXl6Y7DSCy0a3daucxL97kd6wOsVFBRo5MiROn78uGJjY6s9zy9D95/l5+erdevWuv/++zVp0qRKz1c1052cnKysrKyTfvLMZrPZlJqaqiFDhshqtZpdDnBaGL/wZYzfALJlizRunJSQIJn9M0F6uvTzz1KXLlKTJrV+G1tIiFKvvlpD5s+XtbS0dm+SkyNlZ0uvvSZ16FDrWvzO0qXSzTdLMTGShyduDodGq+/AB2UxHFq99GnF2woqn5SZKR05UjZ+ExM9Ws8pFRRIubnSnDnSwIG1egv+7oW3ycnJUWJi4ilDt98uLz9RVFSUOnfurB07dlT5fFhYmMKqWHJjtVp94hvaV+oEqsL4hS9j/AaAoCCppKRsOWxtA6q7lJRIhYVl/3VDLdbS0tqHbputrI6goLKl5ihjsUhFRWWfEw838V2d1EmS1PnYATXMO1r1SUVFZWOmqEg6YYLJFEVFZX8sljMeM/zdC29R03Hol7cM+7Pi4mJt2bJFjRs3NrsUAAAA4Iw5789N13LA+/ll6L733nv13Xffaffu3frxxx91zTXXKCcnR6NHjza7NAAAAOCMOGTRysS2krg/N+AL/HJ5+f79+/W3v/1NWVlZSkpKUq9evbR69Wo1b97c7NIAAACAM7I1tpGywmMUWVqsc47+bnY5AE7BL0P3Bx98YHYJAAAAgEesSCpbWt4ze5fCHHaTqwFwKn65vBwAAADwVyvLQ3e/wywtB3wBoRsAAADwEUVBIvM6AABB5ElEQVRBIfoxoaUk6UL2cwM+gdANAAAA+IifElqpJNiqRoXH1DrvsNnlAKgBQjcAAADgI1Ym/dG13GJyLQBqhtANAAAA+IjlSc77c+8wuRIANUXoBgAAAHzA4bAYbY1rIonQDfgSQjcAAADgA74vX1re6dh+JZTkm1wNgJoidAMAAAA+YIVraTldywFfEmJ2AU7Hjx9Xamqq9uzZI4vFopYtW2rw4MGKjY01uzQAAADAVIakFeUz3dwqDPAtXhG63333Xd11113KycmpcDwuLk6vvfaarr/+epMqAwAAAMy3LaaRMsNjFV5aoh5H9phdDoDTYPry8vXr1+uWW27RlVdeqQ0bNqiwsFAFBQVau3atRowYoZtuukk///yz2WUCAAAAplnRoGxpec/sXQpz2E2uBsDpMH2m+6WXXtKVV16pOXPmVDh+zjnnaO7cuSooKNALL7ygWbNmmVMgAAAAYDLnfu5+LC0HfI7pM93ff/+9xo4dW+3z48aN08qVK+uwIgAAAMB7FAWF6MeEVpLYzw34ItND98GDB5WSklLt8ykpKTpw4EAdVgQAAAB4j7XxLVUcbFXDwuNqm3vI7HIAnCbTQ3dBQYHCw8OrfT4sLExFRUV1WBEAAADgPZxdyy/I3CGLybUAOH2m7+mWpG+++UZxcXFVPnfs2LG6LQYAAADwIs4mahdmbjO5EgC14RWhe/To0Sd93mLhd3oAAAAIPJlh0doc11SS1Ddzh8nVAKgN00O3w+EwuwQAAADAK/2Q2EaS1PH4ASWW5JtcDYDaMH1PNwAAAICqLU9qJ0nqxyw34LNMD907d+7UunXrKhxbvHixBg4cqPPPP1/Tpk0zqTIAAADAPIakleVN1Pod5lZhgK8yPXTfd999+uyzz1yPd+/erREjRig0NFS9e/fWU089pRkzZphWHwAAAGCGHTENdSgiTmF2m849stvscgDUkul7uteuXav777/f9fi9995TSkqKvvnmG0lSly5d9NJLL2nixIkmVQgAAADUveVJZV3Lz8/epXBHqcnVAKgt02e6s7Ky1KxZM9fjpUuXasSIEa7HAwYM0J49e0yoDAAAADCPc2n5hZksLQd8memhOz4+Xunp6ZLKOpmvXbtWPXv2dD1fUlIiwzDMKg8AAACoc8VBwVqd0FoS+7kBX2d66O7fv78ef/xx7du3TzNmzJDD4dDAgQNdz2/evFktWrQwr0AAAACgjq2Lb6GikFAlFeWoXW6G2eUAOAOm7+l+8sknNWTIELVo0UJBQUF68cUXFRUV5Xr+nXfe0UUXXWRihQAAAEDdWlG+n7tf5g5ZTK4FwJkxPXS3bNlSW7Zs0ebNm5WUlKQmTZpUeH7q1KkV9nwDAAAA/u6P0M3ScsDXmR66Jclqtapr165VPlfdcQAAAMAfZYdGaVO9skmnvpk7TK4GwJkyPXSPGTOmyuNxcXFq166dbrzxRkVHR9dxVQAAAIA5vk9sI0lqf/ygGhTnmlwNgDNleiO1o0ePVvln48aNeuSRR9SuXTvt2rXL7DIBAACAOrGiQdnScm4VBvgH02e6FyxYUO1zhYWFGjVqlB588EF99NFHdVgVAAAAUHfssmhlUlt9mnyuvm7cWZJ0AUvLAb9geug+mYiICD3wwAO6+uqr/397dx4eVZ2ge/ytSi3ZdwKEhH0RRJaAILbKIqAoO44z4mW02+4Z3FvtGduevor2OGp3i8v0de0ZdbqHFpXV7hY7KqAoIhI2FVDZQjZIQpLKVqnt3D8KSiJhC6mcSuX7eZ56KnXq5OSt+MuxXn6nzjE7CgAAANDmvk7qqmW5o7UiZ6SOxKaElo88elBjK/eamAxAW4no0i1J6enpqq6uNjsGAAAA0CYqHQla3WOElueO0s7U3NDytKZ6zSzeqnmHtuiimiIuFQZEiYgv3Z988on69etndgwAAACg1TyWGH3QdbCW5Y7S2q6D5bPGSJJsAb8mHd6leYc+18TDu+Uw/CYnBdDWTC/dO3bsaHF5TU2NNm/erP/4j//Qv//7v7dzKgAAAOD8GJJ2pOZoWe5ore4xQtWOhNBzw6oOaW7RFs0s3qp0T4N5IQGEnemle8SIEbJYLDIM46TnunTpovvvv18LFy5s9fYfe+wx/eIXv9Ddd9+tp59++jySAgAAAGdWGpeqFf0v0/LcUfo2qWtoedfGGs0uKtC8oi0aWHvYxIQA2pPppXv//v0tLk9JSVFqaup5bXvz5s166aWXNGzYsPPaDgAAAHA6jR6/3i3za9k1/6oNPS6UYQlemTfW59FVZV9o7qEtuqz8G8Xo5IkmANHN9NLdq1evsGy3rq5ON954o15++WUOTwcAAECbCwQMfXbgqJZtKdJfd5aq3uOXcoKX+xpTuU/zDn2ua0p2KMnXZHJSAGYyvXSHy+23365rr71WkydPpnQDAACgzRyoqNfyrcVaXlCkoqrG0PKecdLcj5ZrbslW9ZTbxIQAIklUlu7XX39dBQUF2rx581mt39TUpKam7/4F0uVySZK8Xq+8Xm9YMraF49kiOSNwKoxfdGSM304kEJAcDslul2wmv21yOKS4uOD9eWTxHvte7/m8Hrs9mCMQkDrJ30Gt26u/fnFYK7aWaEthdWh5otOma4Z21ewR2Rq9b6ssL74jJSXJGx9vXtjjYmODYyY2VnI6zc3i9wfHimG0esyw70WkOduxaDFaOoNZB3bo0CGNHj1af/vb3zR8+HBJ0oQJEzRixIhTnkht0aJFevjhh09avmTJEsVHwg4TAAAA7c5vSHuqLfqs3KIvjlrkNYJXzrbI0KAUQ2OyDF2UZsgRY3JQAKZoaGjQ/PnzVVNTo+Tk5FOuF3Wle+XKlZozZ45iYr7b+/n9flksFlmtVjU1NTV7Tmp5pjs3N1cVFRWn/eWZzev1Kj8/X1OmTJHdbjc7DnBOGL/oyBi/nciuXdLChVJGhmT2e4LSUmn7dmnYMCk7u9Wb8dpsyp87V1OWL5fd52vdRlwuqbJSeuEFafDgVmeJVHvKarViW4lWby9VeZ0ntHxAVoLmjMzWzGHd1TU59uRvXLtWuvlmKSlJioSJm/Jy6ejR4PjNzDQ3S0ODVFsrvfqqNHFiqzbBvheRxuVyKTMz84ylO6IOL6+urtZbb72lvXv36l/+5V+Unp6ugoICde3aVT169DirbVx55ZXauXNns2U//OEPdcEFF+j+++8/qXBLktPplLOFQ27sdnuH+IPuKDmBljB+0ZExfjsBq1XyeIKHw7a2oLYVj0dqbAzet0EWu8/X+tLt9QZzWK3BQ82jQGVdk1ZtK9GygiJ9WeIKLU+Lt2vWiB6al5ejoT2SZbFYTr0Ri0Vyu4O/kxbec7Y7tzs4Ztxuqcnkk7m53cGbxXLeY4Z9LyLF2Y7DiCndO3bs0OTJk5WSkqIDBw7oJz/5idLT07VixQodPHhQ//M//3NW20lKStLQoUObLUtISFBGRsZJywEAANB5Nfn8+mDXES0rKNK6PeXyBYIHgNpjLJp0QZbm5eVowqAsOWxWk5MC6MgipnTfe++9uvnmm/XrX/9aSUlJoeXTpk3T/PnzTUwGAACAaGEYhrYX1WjZliK9vaNE1Q3fnQhpeE6K5o3K0Yxh2UpLcJiYEkA0iZjSvXnzZr344osnLe/Ro4fKysrOa9vr1q07r+8HAABAx1Za06jlBcHLfO0trw8t75Ycq9kje2heXg8N6Jp0mi0AQOtETOmOjY0NXarrRHv27FGXLl1MSAQAAICOrMHj05ovyrS8oFgf763Q8dMHx9qtuvrCbpo3KkeX9stUjPU0n9MGgPMUMaV71qxZeuSRR/TGG29IkiwWiwoLC/Xzn/9c8+bNMzkdAAAAOoJAwNCm/Ue1rKBI7+wsVb3HH3pubJ90zcvL0bSLuikplhNxAWgfEVO6f/vb3+qaa65RVlaWGhsbNX78eJWVlWncuHF69NFHzY4HAACACLa/ol7LC4q0vKBYxdWNoeW9MuI1d2SO5ub1UG56BFzGC0CnEzGlOzk5WRs2bNAHH3yggoICBQIB5eXlafLkyWZHAwAAQASqafTqzztKtLygWFsOVoWWJzltmj68u+bl5WhUr7TTX+YLAMIsYkr3cZMmTdKkSZPMjgEAAIAI5PMH9NE3FXqroEj5Xx2WxxeQJFkt0hUDu2huXo6mDumqWHsEXCcbABRBpfuRRx457fMPPvhgOyUBAABApNlV6tKyLUVaua1EFXVNoeWDuiZp3qgemj2ih7KSY01MCAAti5jSvWLFimaPvV6v9u/fL5vNpn79+lG6AQAAOpny2iat2las5QXF+qr0u6vcZCQ4NHNEtubl5ejC7GQOHwcQ0SKmdG/duvWkZS6XSzfffLPmzJljQiIAAAC0tyafX+/vOqJlW4q07uty+QPB63zZYyy68oKumjcqRxMGdZE9xmpyUgA4OxFTuluSnJysRx55RNOnT9eCBQvMjgMAAIAwMAxDWw9Va9mWIv15R6lqGr2h54bnpuq6vB6aPixbaQkOE1MCQOtEdOmWpOrqatXU1JgdAwAAAG2suLpRK7cWa9mWIu2rqA8t754Sqzkje2huXo76ZyWamBAAzl/ElO5nn3222WPDMFRaWqo//OEPuvrqq01KBQAAgLZU3+TTmi/KtKygSBv3VcoIHj2uOHuMrh7aTfPycjSuX4ZirHxOG0B0iJjS/dRTTzV7bLVa1aVLF91000164IEHTEoFAACA8xUIGPp0X6XeKijSmi/K1ODxh567pG+65uXlaNpF3ZXojJi3pgDQZiJmz7Z//36zIwAAAKAN7Suv0/KCYq3YWqzi6sbQ8t4Z8Zqbl6M5I3soNz3exIQAEH4RU7oBAADQ8dU0ePX2jhItKyjS1sLq0PKkWJumD8vWdaN6KK9nGpf5AtBpmFq6586de9brLl++PIxJAAAA0Fpef0Affl2uZQVFeu+rI/L4A5KkGKtFVwzI1LxROZo8uKti7TEmJwWA9mdq6U5JSTHzxwMAAOA8fFXl0bI/f6VV24pVUecJLb+gW5Lm5eVo1shsZSXFmpgQAMxnaul+5ZVXzPzxAAAAOEfl1lit6tJHb/UboN1/KQ0tz0hwaNaIHpo3qocuzGZiBQCO4zPdAAAAOC23xar34nO1PLGf1sdly2+xSpIcVmnyhcHLfF0xsIvsMVaTkwJA5Imo0v3WW2/pjTfeUGFhoTweT7PnCgoKTEoFAADQ+RiSCpyZWpbYT39O6C1XjDP03Ij6Ms0r/FwzHlyo1FHDzQsJAB1AxPxz5LPPPqsf/vCHysrK0tatWzVmzBhlZGRo3759mjZtmtnxAAAAOoUiW4L+M/UiTcqZrXnZ12hJ8iC5YpzK9tXr9uoder9opVZ+86YWFG9WqpMTowHAmUTMTPdzzz2nl156STfccINee+01/eu//qv69u2rBx98UEePHjU7HgAAQNSqt9j014ReWp7YVxvjuoeWxwW8mlZfqHl1ezXOXRY5szUA0IFETOkuLCzUpZdeKkmKi4tTbW2tJGnBggW65JJL9Lvf/c7MeAAAAFElIOnj2G5althP7yT0VKPVHnpuXGOp5tXt1bT6QiUYPvNCAkAUiJjS3a1bN1VWVqpXr17q1auXPv30Uw0fPlz79++XYRhmxwMAAIgK+2xJervQqse7z1KpLSG0vI/XpXm1ezW7fp9yfPUmJgSA6BIxpXvSpEl6++23lZeXp1tuuUX33HOP3nrrLX3++eeaO3eu2fEAAAA6vHfie+q2rPEyii2SLUHJ/iZNrz+geXV7lddUIYvZAQEgCpleuleuXKkZM2bopZdeUiAQkCQtXLhQ6enp2rBhg2bMmKGFCxeanBIAAKDjeyF1qAyLRf2TDd21b4Om1h1UrBEwOxYARDXTS/d1112nzMxM3XTTTfrRj36kQYMGSZKuv/56XX/99SanAwAAiA577cna7sxUjBHQzQMDmvblIdkp3AAQdqafhLKwsFB33nmnVqxYoSFDhuiyyy7TK6+8ovp6PksEAADQVlYl9JEkXeYuVZL9DCsDANqM6aU7Oztb//Zv/6avv/5aH3zwgfr166e77rpL3bt3149//GNt3LjR7IgAAAAdmiFpZWJfSdKshgOmZgGAzsb00n2i8ePH67XXXlNpaakWL16sXbt26bLLLtOFF15odjQAAIAOq8CZqUJ7khICXk1uLDI7DgB0KqZ/prsliYmJmjhxog4cOKDdu3fr66+/NjsSAABAh3V8lvuq+kLFGX6T0wBA5xJRM90NDQ167bXXNH78eA0cOFBLly7VvffeqwMHDpgdDQAAoEPyyKo/J/SWJM2p22duGADohCJipvvjjz/Wf//3f+vNN9+Uz+fT3Llz9d5772nixIlmRwMAAOjQPozLVlVMrLr4GnSpu0wBW4zZkQCgUzG9dA8cOFB79+7VyJEj9cQTT2j+/PlKSUkxOxYAAEBUWHHs0PKZ9QcUI0NcJAwA2pfppfvqq6/WLbfcouHDh5sdBQAAIKq4LHa9F58jiUPLAcAsppfuZ5991uwIAAAAUWlNQk81WW3q76nWhZ6jZscBgE4pok6kBgAAgLZz/Kzlc+r2yWJyFgDorKKydD///PMaNmyYkpOTlZycrHHjxumdd94xOxYAAEC7KY2J18bYbpKkmfX7TU4DAJ1XVJbunJwcPf744/r888/1+eefa9KkSZo1a5a+/PJLs6MBAAC0i9WJfWRYLBrjPqxcX73ZcQCg0zL9M93hMGPGjGaPH330UT3//PP69NNPdeGFF5qUCgAAoP2sSOgjSZrNCdQAwFSmlu5zOYnaXXfd1aqf4ff79eabb6q+vl7jxo1rcZ2mpiY1NTWFHrtcLkmS1+uV1+tt1c9tD8ezRXJG4FQYv+jIGL+dSCAgORyS3S7ZTJ6rcDikuLjg/Rmy7LGnaLczXXbDr6nuInlPWP/4197zeT12ezBHICDxd/Adw5BiY4M3p9PsNMEccXGRkcfvD44Vw2j1mGHfi0hztmPRYhiGEeYsp9SnT5+zWs9isWjfvnP7V9qdO3dq3LhxcrvdSkxM1JIlS3TNNde0uO6iRYv08MMPn7R8yZIlio+PP6efCwAAYLbVB616v8SqYekB3TKIK3MDQDg0NDRo/vz5qqmpUXJy8inXM7V0h5PH41FhYaGqq6u1bNky/f73v9f69es1ZMiQk9ZtaaY7NzdXFRUVp/3lmc3r9So/P19TpkyR3W43Ow5wThi/6MgYv53Irl3SwoVSRoZk9nuC0lJp+3Zp2DApO/uUqwUkje8+S2W2BP2u4kNd1VjU7Hmvzab8uXM1Zfly2X2+1mVxuaTKSumFF6TBg1u3jWi0dq10881SUpIUCRM35eXS0aPB8ZuZaW6WhgaptlZ69VVp4sRWbYJ9LyKNy+VSZmbmGUt3VH6mW5IcDof69+8vSRo9erQ2b96sZ555Ri+++OJJ6zqdTjlbOOTGbrd3iD/ojpITaAnjFx0Z47cTsFoljyd4OGxrC2pb8Xikxsbg/WmybIztqjJbgpL9TZpcVyi70fJMt93na33p9nqDOazW4KHmCLJYJLc7+DuJiTE7TTBLY2Pw/oQJJtOyuN3B39F5jhn2vYgUZzsOI6p0FxUVafXq1SosLJTH42n23OLFi89r24ZhNJvNBgAAiEbHr819bf1BxZ6icAMA2k/ElO73339fM2fOVJ8+fbRnzx4NHTpUBw4ckGEYysvLO6dt/eIXv9C0adOUm5ur2tpavf7661q3bp3WrFkTpvQAAADmc1us+mtCL0nSLK7NDQARIWKu0/3AAw/ovvvu0xdffKHY2FgtW7ZMhw4d0vjx4/V3f/d357Stw4cPa8GCBRo0aJCuvPJKbdq0SWvWrNGUKVPClB4AAMB8H8TlqNbqULavXmPch82OAwBQBM1079q1S3/6058kSTabTY2NjUpMTNQjjzyiWbNm6dZbbz3rbf3Xf/1XuGICAABErBXHDi2fVbcvcmZWAKCTi5j9cUJCQugz19nZ2dq7d2/ouYqKCrNiAQAAdAhVVqfWxfeQJM2pO7dLrQIAwidiZrovueQSffzxxxoyZIiuvfZa3Xfffdq5c6eWL1+uSy65xOx4AAAAEe0vCb3ktcRoSNNRDfTWmB0HAHBMxJTuxYsXq66uTpK0aNEi1dXVaenSperfv7+eeuopk9MBAABEtuNnLWeWGwAiS8SU7r59+4a+jo+P13PPPWdiGgAAgI7jkC1Rn8dmyWIYmslZywEgokTMZ7r79u2rysrKk5ZXV1c3K+QAAABoblVCH0nSD9yl6upvNDkNAOBEEVO6Dxw4IL/ff9LypqYmFRcXm5AIAAAg8hmSViQGS/dsDi0HgIhj+uHlq1evDn397rvvKiUlJfTY7/fr/fffV+/evU1IBgAAEPm+cKRrryNVsQGfrqo/ZHYcAMD3mF66Z8+eLUmyWCy66aabmj1nt9vVu3dvPfnkkyYkAwAAiHzHr809peGQkgyvyWkAAN9neukOBAKSpD59+mjz5s3KzMw0OREAAEDH4JNFq499npuzlgNAZDK9dB+3fz9n2gQAADgXH8d1V4UtTul+ty5vLDE7DgCgBRFzIjVJWr9+vWbMmKH+/ftrwIABmjlzpj766COzYwEAAESklcdOoDa9/oDsMkxOAwBoScSU7j/+8Y+aPHmy4uPjddddd+mOO+5QXFycrrzySi1ZssTseAAAABGl3mLTmviekjhrOQBEsog5vPzRRx/Vr3/9a91zzz2hZXfffbcWL16sX/3qV5o/f76J6QAAACJLfnyuGq129fK6NLKpwuw4AIBTiJiZ7n379mnGjBknLZ85cyaf9wYAAPie42ctn123XxaTswAATi1iSndubq7ef//9k5a///77ys3NNSERAABAZCq3xuqjuO6SOLQcACKd6YeX/+hHP9Izzzyj++67T3fddZe2bdumSy+9VBaLRRs2bNCrr76qZ555xuyYAAAAEePPib0VsFg1wl2uPr5as+MAAE7D9NL92muv6fHHH9ett96qbt266cknn9Qbb7whSRo8eLCWLl2qWbNmmZwSAAAgcqw8dmg51+YGgMhneuk2jO8ubzFnzhzNmTPHxDQAAACRbW9curY7MxVjBDS9/oDZcQAAZxARn+m2WDj9BwAAwNlYlTVUkjS+sUQZgSaT0wAAzsT0mW5JGjhw4BmL99GjR9spDQAAQGQyJK3ocqEkTqAGAB1FRJTuhx9+WCkpKWbHAAAAiGgF3QbqUFyaEgJeTWk4ZHYcAMBZiIjS/Q//8A/KysoyOwYAAEBEW3HBFZKkq+sPKs7wm5wGAHA2TP9MN5/nBgAAODOPxao/D7hUkjS7br/JaQAAZ8v00n3i2csBAADQsvVpfVUdl6Qunjpd6i4zOw4A4CyZfnh5IBAwOwIAAEDEW9kleNbyWUe+VIyYtACAjsL0mW4AAACcnstiV37GAEnS7CNfmJwGAHAuKN0AAAARbk1CT3msNg2oPKQL6w+bHQcAcA4o3QAAABFuZWJfSdLsPR+KU9ACQMdC6QYAAIhgpTHx2hjbTZI0a88Gk9MAAM4VpRsAACCCrU7sI8Ni0ZiaQuXUVpgdBwBwjijdAAAAEWxFQh9J0hxOoAYAHRKlGwAAIELtsqdqtzNdDsOvayr2mB0HANAKlG4AAIAIdfwEapMaipTid5ucBgDQGpRuAACACBSQtCoxeGj57Lp95oYBALQapRsAACACfRrbVWW2BCX7mzSxodjsOACAVorK0v3YY4/p4osvVlJSkrKysjR79mzt2cPnoAAAQMdx/NDya+sPyqmAyWkAAK0VlaV7/fr1uv322/Xpp58qPz9fPp9PU6dOVX19vdnRAAAAzshtidE7Cb0kSbPrObQcADoym9kBwmHNmjXNHr/yyivKysrSli1bdMUVV5iUCgAA4Oy8H5ejWqtDPXx1uth9xOw4AIDzEJWl+/tqamokSenp6S0+39TUpKamptBjl8slSfJ6vfJ6veEP2ErHs0VyRuBUGL/oyBi/nUggIDkckt0u2drvbdOKpOCh5TMaDspvs8kvBXPExQXvzyOL99j3es/n9djtwRyBgMTfwXcMQ4qNDd6cTrPTBHPExUVGHr8/OFYMo9Vjhn0vIs3ZjkWLYRhGmLOYyjAMzZo1S1VVVfroo49aXGfRokV6+OGHT1q+ZMkSxcfHhzsiAABASL1X+r9bYuQ3LHpguE/deCsCABGpoaFB8+fPV01NjZKTk0+5XtSX7ttvv11/+ctftGHDBuXk5LS4Tksz3bm5uaqoqDjtL89sXq9X+fn5mjJliux2u9lxgHPC+EVHxvjtRHbtkhYulDIypHZ6T7Akob8eSh+jIZ6jWnX4hI/MlZZK27dLw4ZJ2dmt3r7XZlP+3Lmasny57D5f6zbickmVldILL0iDB7c6S9RZu1a6+WYpKUmKhImb8nLp6NHg+M3MNDdLQ4NUWyu9+qo0cWKrNsG+F5HG5XIpMzPzjKU7qg8vv/POO7V69Wp9+OGHpyzckuR0OuVs4ZAbu93eIf6gO0pOoCWMX3RkjN9OwGqVPJ7g4bCtLajn6O343pKkubV7m5dij0dqbAzet0EWu8/X+tLt9QZzWK3BQ80RZLFIbnfwdxITY3aaYJbGxuD9CRNMpmVxu4O/o/McM+x7ESnOdhxGZek2DEN33nmnVqxYoXXr1qlPnz5mRwIAADijQluiPo/NktUIaEb9AbPjAADaQFSW7ttvv11LlizRqlWrlJSUpLKyMklSSkqK4uLiTE4HAADQslWJwYmCH7jL1NXfaHIaAEBbiMrrdD///POqqanRhAkT1L1799Bt6dKlZkcDAABokSFpRULwrOWz67g2NwBEi6ic6Y7yc8MBAIAotNORoX2OFMUGfLqqvtDsOACANhKVM90AAAAdzYpjh5ZPbTikRKN9TtoGAAg/SjcAAIDJfLLo7WOlm0PLASC6ULoBAABMtiGuuypi4pTud+vyxhKz4wAA2hClGwAAwGTHz1o+o+6A7OLcNAAQTSjdAAAAJqq32LQmvqckaXY9h5YDQLShdAMAAJgoPz5XjVa7entdGtFUYXYcAEAbo3QDAACYaEXid9fmtpicBQDQ9ijdAAAAJim3xuqjuO6SpNl1+01OAwAIB0o3AACASd5O7K2AxaqR7nL19tWaHQcAEAaUbgAAAJOsPHZo+RyuzQ0AUYvSDQAAYIJv7cna4cyUzQjo2voDZscBAIQJpRsAAMAEqxKCs9zjG4uVEWgyOQ0AIFwo3QAAAO3MkLQisY8kTqAGANGO0g0AANDOtji7qMiepMSAR5MbDpkdBwAQRpRuAACAdnb8BGpX1RcqzvCbnAYAEE6UbgAAgHbkkVV/TugtSZrDoeUAEPUo3QAAAO1ofXy2qmOcyvI1aJy7zOw4AIAwo3QDAAC0o5XHzlo+q36/YmSYnAYAEG6UbgAAgHbistiVH58rSZpdt8/kNACA9kDpBgAAaCdrEnrJY43RQE+VhniqzI4DAGgHlG4AAIB2cuK1uS0mZwEAtA9KNwAAQDsoiYnXp7HdJEmzOGs5AHQalG4AAIB2sDqxjwyLRWMby9TDX292HABAO6F0AwAAtIOVicGzls/hBGoA0KlQugEAAMJslz1Vux1pchh+TWs4aHYcAEA7onQDAACE2fFZ7isbipQS8JqcBgDQnijdAAAAYRSQtOrYWctncWg5AHQ6lG4AAIAw+jS2q8psCUr2N2liQ7HZcQAA7YzSDQAAECY1VoeeTh0uSbq2/qCcCpicCADQ3mxmBwAAAIhGXzrSdGvWBBXak+QI+LWgdo/ZkQAAJqB0AwAAtLE3E/vplxlj1WS1Kddbq+ePrNcQT5XZsQAAJqB0AwAAtBG3xaqH08foT8kDJUkTG4r0dPkGpQQ8JicDAJiF0g0AANAGimwJui1rvHY4M2UxDN1TvU13VO/kBDoA0MlRugEAAM7T+rhs3d3lclXHOJXqb9Iz5R9pfGOJ2bEAABGA0g0AANBKAUn/mTpMT6cOl2GxaFhThZ47sl45vnqzowEAIkRUHvH04YcfasaMGcrOzpbFYtHKlSvNjgQAAKJMtdWhW7pO0lNpI2RYLLrB9bXeKF1D4QYANBOVM9319fUaPny4fvjDH2revHlmxwEAoMPzBwzVNHpV1eBRVb1HVQ3eY/ceHW3wqLo++Fz/rET95PK+SktwmB05rL5wpGth1ngV2ZPkDPj075Wb9Hd1e82OBQCIQFFZuqdNm6Zp06aZHQMAgIjk8wdU3egNleej9R5VHy/PJz6uP/a4waOaRq8M48zb/ttXh/WHjQe1cEI//egHfRTniAn/C2pnbyT21y8zxspjjVFPb62eP7JOF3I5MADAKURl6QYAoLPw+gOqqg8W5qpjs83NZqNb+Nrl9rX65yXF2pQW71BagkNp8XalxzuUGu9QeoJd8Q6b3tpSpK9KXfrNu3v0PxsP6KeTB+rvRuXIFtPxP9Hmtli1KGOsXk8aIEm6suGQFpd/zOXAAACnRemW1NTUpKamptBjl8slSfJ6vfJ6vWbFOqPj2SI5I3AqjF90ZGaOX8Mw9G15vT76pkIfflOpzQer5PEFWrWtlLhggU6Ntyst3h4sz/F2pcbZlZbgOHZvV1qcQ2kJdqXE2WU/Q3m+8eIeentnmZ5+7xsVVbv1wPKdevnDffrZlAGaPLiLLBZLq7KaJhCQHA4Vxafrjuxp+tKRLoth6Kc1O7Sw9ktZrZLX2k5vpxwOKS4ueG9r/c/0Hvte73lsQ3Z7MEcgILEf/45hSLGxwZvTaXaaYI64uMjI4/cHx4phtHrM8N4BkeZsx6LFMM7mYLGOy2KxaMWKFZo9e/Yp11m0aJEefvjhk5YvWbJE8fHxYUwHAMCZuX3SnhqLdldbtKvaoipP8+JqkaF4m5RgkxLsUoLNCH2daAs+l2iX4m2GEu3B9eJsUkwY+68vIG04bNHfiqyq9wV/UO9EQzN7+dUvOXw/Nxy+qrLoD99Y1eC3KMFm6B8HBHRBalS/fQIAnIWGhgbNnz9fNTU1Sk4+9f/cKN1qeaY7NzdXFRUVp/3lmc3r9So/P19TpkyR3W43Ow5wThi/6MjCPX4Nw9Dusjp9+E2FPvymQgWF1fIFvvvftcNm1ZjeabpiQKYu75+hvpkJslojcwa51u3VyxsO6JVPDsrtDc7ITxrURT+bMkADuiaanO70AgFDv3tzk363s+bY5cAq9Z+VHynb32BOoNJSaft2adgwKTu71Zvx2mzKnztXU5Yvl93Xyo8auFxSZaX0wgvS4MGtzhJ11q6Vbr5ZSkqSImHiprxcOnpUysiQMjPNzdLQINXWSq++Kk2c2KpN8N4BkcblcikzM/OMpZvDyyU5nU45Wzjkxm63d4g/6I6SE2gJ4xcdWVuO3+oGjzZ8W6F1e8r14dflOlLb1Oz5PpkJGj+wi8YP7KJL+mZ0mBOUpdvtun/aEP3wB3319PvfaOnmQ/pgT7nWfV2u60bl6KeTByo7Nc7smCepqvfop0u3af3XLsli0Y0VO/Vg7XY51bpD+duExyM1NgbvW1uWT2D3+Vpfur3eYA6rNXioOYIsFsntDv5OYiLgb9TtDo4Zt1tqajrz+uHO4nYHf0fnOWZ474BIcbbjMCpLd11dnb799tvQ4/3792vbtm1KT09Xz549TUwGAEBQIGBoZ3GN1n9drnV7jmjboWqdMJmtOHuMLu2XofGDgkW7V0aCeWHbQFZyrP5jzkW65bI++u27e/TOF2V64/MirdpWopt/0Fu3je+vlPjIeBO9s6hGC/+4RcXVjXLGWPQfO5ZpnrdYSkkxOxoAoAOKytL9+eefa+IJh63ce++9kqSbbrpJr776qkmpAACdXWVdkz78plzr95Trw28qdLS++VmvB2QlasKgLho/MEuje6cp1h4BM2VtrF+XRD3/f0apoLBKj7+zW5/tP6oX1+/TnzYV6vaJ/XXTpb1Nfd2vf1aoB1d/KY8voF4Z8Xr+khQNeXe7+YfmAgA6rKgs3RMmTFCUf1QdANAB+PwBbS+q1ro95Vr/dbl2Ftc0u9Z1otOmy/pnavygLrpiYBf1iMDDrMMlr2ealv7TJVq754ieeGeP9hyu1WPv7NarnxzQPVMGal5ejmLa8XPqbq9fD676Qm98XiRJmjw4S09eP0Ipe/e0WwYAQHSKytINAIBZDrvcWv91cDb7o2/KT7om9pDuycdms7sor1faGS/BFc0sFosmXdBV4wdmacXWYi3+2x6V1Lj1r2/t0O8/2qf7r75Aky7ICvtlxgorG3Tr/27RlyUuWS3SfVMH6dbx/SL25HQAgI6F0g0AwHnw+ALacrAq9Nns3WW1zZ5PibPr8gGZmjAoS1cMyFRWcqxJSSNXjNWi60blaPqw7vrDxoP63dpv9fXhOt3y2uca0ztd90+7QKN6pYXlZ6/dfUR3v75VLrdP6QkOPfsPI3XZAA4lBwC0HUo3AABnyTAMNfkCKjraoI8PW/TnJdu0cd9R1TV9N5ttsUjDclI1fmAXTRjURcNzUtv1MOmOLNYeo59c0VfXX5yr59ft1Ssf79dnB45q3vOf6KoLu+pfrrpA/bPa5jJj/oChZ977Ws9+EDzx6ojcVD13Y15EnkkdANCxUboBAFHPHzBU1+QL3tw+1TV5Vev2qb7JH/r6u+d8qm3yqf7Ex8efb/LJHzrFeIykI5KkjARH8HJeg7ro8gFdlJ7gMO21RoOUOLt+Pu0C3XRpLz2d/43e3HJI7355WO/tOqLrRwcvM9b1PI4YqKr36K7Xt+qjbyokSQsu6aVfTh8spy36TlwHADAfpRsAENECAUMVdU06Utskl9sbKsp17mA5rjuhEH//6+PPN3r9bZopxmpRz4SAZo8ZoEmDu+nC7GQ+/xsG3VPi9MR1w3TL5X306zV79N6uw/rTZ4e0Ymuxbrmsj/55fD8lx57bZca2H6rWbf9boOLqRsXarXps7kWaMzInTK8AAABKNwDAZHVNPpVUN6q4ulGl1W6VVDd+97jGrdKaRnn9bXNFCqfNqkSnTYmxtuC906ak41/H2pTgtCnJefyxvdnzCSd8bbcE9M477+iaCX1lt0fGtaWj2cCuSfr9TaO1+cBRPf7Obm05WKX/t3av/ndToe6Y2F8LxvU64yy1YRj602eHtGj1l/L4A+qdEa/n/88oDe6e3E6vAgDQWVG6AQBh4/UHVFbjVmmN+4Qi3aiS6u8e137v7N4tsVqkLklOJcfaQ4U5KdamBEewLCeFivTx52OCX3+vNDtsbXOmcK/X2ybbwbm5uHe63lo4TvlfHdYTa3Zrb3m9/v0vu/TKxwd039SBmjWiR4ufn3d7/frlyi/01pbg5cCmDOmqJ68ffs6z5AAAtAalGwDQKoZhqKrBe8IsdaNKatwqPjZTXVrt1uFad7PrUp9KSpxd2alx6pEaq+zUOHVPiVN2aqx6pMYpOzVOWUlO2TrxpbXwHYvFoqkXdtOkC7L01pYiPfXe1yqubtS9b2zXSx/u08+nXaDxA7uELjNWWNmghX/coq9Kg5cD+9lVg7TwCi4HBgBoP5RuAMBJDCN44rEjtU2hQ76/P0tdUtMotzdwxm05Yqzqnhqr7JS4ULHunnrC1ylxSnDyvyOcG1uMVf8wpqdmjeihVz7Zr+fX7dXuslrd/MpmjeuboZ9Pu0AVdU26Z+k2udw+ZSQ49OwNI/WD/lwODADQvniXAwCdgNvrV1WDR0frPaqq9+pog0dV9R5V1gfvjz8+euxW1eA5689Rd0lyKjs1TtkpwVnqE8t0dmqcMhIczCoibOIcMbptQn/dcHFPPbfuW732yUFt3FepWf/v49A6I3sGLwfWPYXLgQEA2h+lGwA6GH/AUHWD51iJ9jYrykfrTyjTJzyu97Tu7N0JjphQkc4+Ybb6+ONuKbFcZgkRIS3BoX+7dohuurS3Fud/rRVbi2UY0k3jeunfrh3SZp/nBwDgXFG6ASBCGIahncU1+vpwXWj2+WjdCbPQx+6rG71n9Tnp77NZLUpLcCg93qG0BLvSExzBW7wjuDzBobR4R2h5WrxDcQ4KNTqWnLR4Lb5+hG6b0F81jR6N6pVudiQAQCdH6QYAk7ncXq3cWqwlmwq1u6z2rL8vJc7erCCnJ9hDpTq0/IRSnRxrC51cCoh2/bMSzY4AAIAkSjcAmMIwDG07VK0lmwr19o6S0AnJnDarLu6drsxEh9ITnM2KdFqCQxnHinRqnJ2zeQMAAHQAlG4AaEcut1erthbrf783qz0gK1Hzx/bU3JE5Sonn2sEAAADRgtINAGFmGIa2F9VoyaaDent7qRq9wZOaOWxWTb+ou+aP7alRvdI49BsAACAKUboBIExq3V6t3FaiP20q1FelrtDy/lmJmj+mp+bm9VBqvMPEhAAAAAg3SjcAtCHDMLSjqEZLNhVq9faSk2a1bxjbU6OZ1QYAAOg0KN0A0AZq3V6t2laiJd+b1e7XJUHzx/bSPGa1AQAAOiVKNwCchx1F1aFZ7QbPd7Pa1wztpvlje+ni3sxqAwAAdGaUbgA4R3VNPq3aVqw/fVaoL4qbz2rfMKan5uXlKC2BWW0AAABQugHgrO0sqtGSzw5q1bYTZrVjrJp2UTfNH9NTY/qkM6sNAACAZijdAHAadU0+rd5WoiWfHWw2q923S8KxM5DnKJ1ZbQAAAJwCpRsAWvBFcY3+d1OhVm8rVv0Js9pXD+2m+WN7aiyz2gAAADgLlG4AOKa+yafV20v0p88KtaOoJrS8b+axz2qPYlYbAAAA54bSDaBTMAxDHn9ATb6AmrwBNfn8oa9rGr16e0eJVm39blbbHmPR1UO7a/6YnrqkL7PaAAAAaB1KN4B2ZxiGjtQ26UijtLusVn5Z1eQ9VoJ9xwqx94Svv1+Ujz3v9gVO+L6W1gs02+7Z6JOZoBvG5GpeXo4yEp1h/k0AAAAg2lG6AYSd2+vXzuIaFRysUkFhlQoKq1Ve2yTJJm3baEomp80avNlj5LRZNSI3VfPH9tS4vhnMagMAAKDNULoBtCnDMFRc3aiCwmoVHKzS1sIqfVXqktdvNFvPapGcVkMJcU45bTFy2q3B+++V4eDt+PMnrHOa9WNDX3/v+4597YixUqwBAADQLijdAM6L2+vXF8U1wRnsg9UqKKzSkdqmk9bLTHQqr2eq8nqlKa9nmgZ3jdcH+e/qmmsmyG63m5AcAAAACD9KN4CzZhiGSmrczQ4T/6qk5qRZbJvVoiHZycrrmaaRPVOV1zNNOWlxzWaXvV5ve8cHAAAA2h2lG8Apub1+fVlSE5rBLiis0mHXmWexL+qRojhHjAmJAQAAgMhC6QYQUlLd2Oww8S9bmMWOsVo0pHtys5L9/VlsAAAAAEGUbqCT+v4s9tbCapW53Cetl5no0MiewXKd1zNVw3JSmcUGAAAAzhKlG+gkSmsateXgd7PYX5W45PE3v3Z1jNWiwd2TjhXs4C03nVlsAAAAoLWiunQ/99xz+s1vfqPS0lJdeOGFevrpp3X55ZebHQswxb+8uUMbvq1otiwj4dgsdq/gyc6G5aQo3hHVuwUAAACgXUXtu+ulS5fqpz/9qZ577jn94Ac/0Isvvqhp06bpq6++Us+ePc2OB7S7i3unq6rBE5zBPlaye6bHM4sNAAAAhFHUlu7Fixfrlltu0Y9//GNJ0tNPP613331Xzz//vB577DGT0wHt764r++vuyQPMjgEAAAB0KlazA4SDx+PRli1bNHXq1GbLp06dqk8++cSkVIC5mNEGAAAA2l9UznRXVFTI7/era9euzZZ37dpVZWVlJ63f1NSkpqbvrj3scrkkSV6vV16vN7xhz8PxbJGcETgVxi86MsZvJxIISA6HZLdLNpPfNjkcUlxc8P48sniPfa/3fF6P3R7MEQhI/B18xzCk2Njgzek0O00wR1xcZOTx+4NjxTBaPWbY9yLSnO1YtBiGYZx5tY6lpKREPXr00CeffKJx48aFlj/66KP6wx/+oN27dzdbf9GiRXr44YdP2s6SJUsUHx8f9rwAAAAAgI6loaFB8+fPV01NjZKTk0+5XlTOdGdmZiomJuakWe0jR46cNPstSQ888IDuvffe0GOXy6Xc3FxNnTr1tL88s3m9XuXn52vKlCmy2+1mxwHOCeMXHRnjtxPZtUtauFDKyJDMfk9QWipt3y4NGyZlZ7d6M16bTflz52rK8uWy+3yt24jLJVVWSi+8IA0e3OosUWftWunmm6WkJCkSJm7Ky6WjR4PjNzPT3CwNDVJtrfTqq9LEia3aBPteRJrjR0ifSVSWbofDoVGjRik/P19z5swJLc/Pz9esWbNOWt/pdMrZwiE3dru9Q/xBd5ScQEsYv+jIGL+dgNUqeTzBw2FbW1DbiscjNTYG79sgi93na33p9nqDOazW4KHmCLJYJLc7+DuJiTE7TTBLY2Pw/oSPUpqWxe0O/o7Oc8yw70WkONtxGJWlW5LuvfdeLViwQKNHj9a4ceP00ksvqbCwUAsXLjQ7GgAAAACgk4ja0v33f//3qqys1COPPKLS0lINHTpUf/3rX9WrVy+zowEAAAAAOomoLd2SdNttt+m2224zOwYAAAAAoJOKyut0AwAAAAAQCSjdAAAAAACECaUbAAAAAIAwoXQDAAAAABAmlG4AAAAAAMIkqs9e3lqGYUiSXC6XyUlOz+v1qqGhQS6X66wvzA5ECsYvOjLGbydSVyf5/ZLLJfl85maprZUMI5ipsrLVm/HabMHxW1kpe2tfU0ND8PdSVxf83SCovj7436ihQQoEzE7z3Zj1eoPjx0xud/B3U1/f6jHDvheR5nhfPN4fT8VinGmNTqioqEi5ublmxwAAAAAARLhDhw4pJyfnlM9TulsQCARUUlKipKQkWSwWs+OcksvlUm5urg4dOqTk5GSz4wDnhPGLjozxi46M8YuOirGLSGMYhmpra5WdnS2r9dSf3Obw8hZYrdbT/ktFpElOTmbHgw6L8YuOjPGLjozxi46KsYtIkpKScsZ1OJEaAAAAAABhQukGAAAAACBMKN0dmNPp1EMPPSSn02l2FOCcMX7RkTF+0ZExftFRMXbRUXEiNQAAAAAAwoSZbgAAAAAAwoTSDQAAAABAmFC6AQAAAAAIE0q3iR577DFdfPHFSkpKUlZWlmbPnq09e/Y0W8cwDC1atEjZ2dmKi4vThAkT9OWXXzZbp6mpSXfeeacyMzOVkJCgmTNnqqioqNk6VVVVWrBggVJSUpSSkqIFCxaouro63C8RUaw9x2/v3r1lsVia3X7+85+H/TUierXV+H3ppZc0YcIEJScny2KxtLhfZf+Lttae45f9L9paW4zfo0eP6s4779SgQYMUHx+vnj176q677lJNTU2z7bD/RaSgdJto/fr1uv322/Xpp58qPz9fPp9PU6dOVX19fWidX//611q8eLF+97vfafPmzerWrZumTJmi2tra0Do//elPtWLFCr3++uvasGGD6urqNH36dPn9/tA68+fP17Zt27RmzRqtWbNG27Zt04IFC9r19SK6tOf4laRHHnlEpaWlodsvf/nLdnutiD5tNX4bGhp09dVX6xe/+MUpfxb7X7S19hy/EvtftK22GL8lJSUqKSnRb3/7W+3cuVOvvvqq1qxZo1tuuaXZz2L/i4hhIGIcOXLEkGSsX7/eMAzDCAQCRrdu3YzHH388tI7b7TZSUlKMF154wTAMw6iurjbsdrvx+uuvh9YpLi42rFarsWbNGsMwDOOrr74yJBmffvppaJ2NGzcakozdu3e3x0tDJxCu8WsYhtGrVy/jqaeeap8Xgk6pNeP3RGvXrjUkGVVVVc2Ws/9FewjX+DUM9r8Iv/Mdv8e98cYbhsPhMLxer2EY7H8RWZjpjiDHD4lJT0+XJO3fv19lZWWaOnVqaB2n06nx48frk08+kSRt2bJFXq+32TrZ2dkaOnRoaJ2NGzcqJSVFY8eODa1zySWXKCUlJbQOcL7CNX6Pe+KJJ5SRkaERI0bo0UcflcfjCfdLQifSmvF7Ntj/oj2Ea/wex/4X4dRW47empkbJycmy2WyS2P8istjMDoAgwzB077336rLLLtPQoUMlSWVlZZKkrl27Nlu3a9euOnjwYGgdh8OhtLS0k9Y5/v1lZWXKyso66WdmZWWF1gHORzjHryTdfffdysvLU1pamj777DM98MAD2r9/v37/+9+H82Whk2jt+D0b7H8RbuEcvxL7X4RXW43fyspK/epXv9I///M/h5ax/0UkoXRHiDvuuEM7duzQhg0bTnrOYrE0e2wYxknLvu/767S0/tlsBzgb4R6/99xzT+jrYcOGKS0tTdddd11o9gU4H209fs+0jdZuB2hJuMcv+1+EU1uMX5fLpWuvvVZDhgzRQw89dNptnG47QDhxeHkEuPPOO7V69WqtXbtWOTk5oeXdunWTpJP+Ne7IkSOhf/3r1q2bPB6PqqqqTrvO4cOHT/q55eXlJ/0rInCuwj1+W3LJJZdIkr799ts2eQ3ovM5n/J4N9r8Ip3CP35aw/0VbaYvxW1tbq6uvvlqJiYlasWKF7HZ7s+2w/0WkoHSbyDAM3XHHHVq+fLk++OAD9enTp9nzffr0Ubdu3ZSfnx9a5vF4tH79el166aWSpFGjRslutzdbp7S0VF988UVonXHjxqmmpkafffZZaJ1NmzappqYmtA5wrtpr/LZk69atkqTu3bu35UtCJ9IW4/dssP9FOLTX+G0J+1+cr7Yavy6XS1OnTpXD4dDq1asVGxvbbDvsfxFR2ve8bTjRrbfeaqSkpBjr1q0zSktLQ7eGhobQOo8//riRkpJiLF++3Ni5c6dxww03GN27dzdcLldonYULFxo5OTnGe++9ZxQUFBiTJk0yhg8fbvh8vtA6V199tTFs2DBj48aNxsaNG42LLrrImD59eru+XkSX9hq/n3zyibF48WJj69atxr59+4ylS5ca2dnZxsyZM9v9NSN6tNX4LS0tNbZu3Wq8/PLLhiTjww8/NLZu3WpUVlaG1mH/i7bWXuOX/S/CoS3Gr8vlMsaOHWtcdNFFxrfffttsO7z/RSSidJtIUou3V155JbROIBAwHnroIaNbt26G0+k0rrjiCmPnzp3NttPY2GjccccdRnp6uhEXF2dMnz7dKCwsbLZOZWWlceONNxpJSUlGUlKSceONN7Z4aRDgbLXX+N2yZYsxduxYIyUlxYiNjTUGDRpkPPTQQ0Z9fX17vVREobYavw899NAZt8P+F22tvcYv+1+EQ1uM3+OXuWvptn///tB67H8RKSyGYRhtP38OAAAAAAD4TDcAAAAAAGFC6QYAAAAAIEwo3QAAAAAAhAmlGwAAAACAMKF0AwAAAAAQJpRuAAAAAADChNINAAAAAECYULoBAAAAAAgTSjcAAAAAAGFC6QYAoBMxDEOTJ0/WVVddddJzzz33nFJSUlRYWGhCMgAAohOlGwCATsRiseiVV17Rpk2b9OKLL4aW79+/X/fff7+eeeYZ9ezZs01/ptfrbdPtAQDQkVC6AQDoZHJzc/XMM8/oZz/7mfbv3y/DMHTLLbfoyiuv1JgxY3TNNdcoMTFRXbt21YIFC1RRURH63jVr1uiyyy5TamqqMjIyNH36dO3duzf0/IEDB2SxWPTGG29owoQJio2N1R//+EczXiYAABHBYhiGYXYIAADQ/mbPnq3q6mrNmzdPv/rVr7R582aNHj1aP/nJT/SP//iPamxs1P333y+fz6cPPvhAkrRs2TJZLBZddNFFqq+v14MPPqgDBw5o27ZtslqtOnDggPr06aPevXvrySef1MiRI+V0OpWdnW3yqwUAwByUbgAAOqkjR45o6NChqqys1FtvvaWtW7dq06ZNevfdd0PrFBUVKTc3V3v27NHAgQNP2kZ5ebmysrK0c+dODR06NFS6n376ad19993t+XIAAIhIHF4OAEAnlZWVpX/6p3/S4MGDNWfOHG3ZskVr165VYmJi6HbBBRdIUugQ8r1792r+/Pnq27evkpOT1adPH0k66eRro0ePbt8XAwBAhLKZHQAAAJjHZrPJZgu+HQgEApoxY4aeeOKJk9br3r27JGnGjBnKzc3Vyy+/rOzsbAUCAQ0dOlQej6fZ+gkJCeEPDwBAB0DpBgAAkqS8vDwtW7ZMvXv3DhXxE1VWVmrXrl168cUXdfnll0uSNmzY0N4xAQDoUDi8HAAASJJuv/12HT16VDfccIM+++wz7du3T3/729/0ox/9SH6/X2lpacrIyNBLL72kb7/9Vh988IHuvfdes2MDABDRKN0AAECSlJ2drY8//lh+v19XXXWVhg4dqrvvvlspKSmyWq2yWq16/fXXtWXLFg0dOlT33HOPfvOb35gdGwCAiMbZywEAAAAACBNmugEAAAAACBNKNwAAAAAAYULpBgAAAAAgTCjdAAAAAACECaUbAAAAAIAwoXQDAAAAABAmlG4AAAAAAMKE0g0AAAAAQJhQugEAAAAACBNKNwAAAAAAYULpBgAAAAAgTCjdAAAAAACEyf8HLQpeMWHZPpsAAAAASUVORK5CYII=",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# prompt: code for contious contries with conflict year\n",
+ "\n",
+ "# Filter for Continuous Conflict countries\n",
+ "continuous_conflict_df = df[df[\"Conflict_Group\"] == \"Continuous Conflict\"].copy()\n",
+ "\n",
+ "# Get a list of unique countries with continuous conflict\n",
+ "continuous_countries = continuous_conflict_df[\"Country\"].unique()\n",
+ "\n",
+ "# Determine a suitable figure size based on the number of countries\n",
+ "n_countries_continuous = len(continuous_countries)\n",
+ "fig_height_continuous = n_countries_continuous * 4 # Adjust multiplier as needed\n",
+ "fig_continuous, axes_continuous = plt.subplots(\n",
+ " n_countries_continuous, 1, figsize=(10, fig_height_continuous), sharex=True\n",
+ ")\n",
+ "axes_continuous = axes_continuous.flatten() # Flatten in case there's only one country\n",
+ "\n",
+ "for i, country in enumerate(continuous_countries):\n",
+ " country_df_continuous = continuous_conflict_df[\n",
+ " continuous_conflict_df[\"Country\"] == country\n",
+ " ].copy()\n",
+ "\n",
+ " # Group by year and sum the Value_USD\n",
+ " yearly_value_continuous = (\n",
+ " country_df_continuous.groupby(\"Year\")[\"Value_USD\"].sum().reset_index()\n",
+ " )\n",
+ "\n",
+ " # Plotting\n",
+ " ax_continuous = axes_continuous[i]\n",
+ " sns.lineplot(\n",
+ " data=yearly_value_continuous, x=\"Year\", y=\"Value_USD\", ax=ax_continuous\n",
+ " )\n",
+ " ax_continuous.set_title(f\"Total Value USD Over Time in {country}\")\n",
+ " ax_continuous.set_ylabel(\"Total Value USD\")\n",
+ " ax_continuous.grid(True)\n",
+ "\n",
+ " # Highlight conflict years (all years in this case)\n",
+ " conflict_years_list_continuous = [\n",
+ " year\n",
+ " for year, is_conflict in zip(\n",
+ " country_df_continuous[\"Year\"], country_df_continuous[\"Conflict_Year\"]\n",
+ " )\n",
+ " if is_conflict\n",
+ " ]\n",
+ " for year in conflict_years_list_continuous:\n",
+ " ax_continuous.axvspan(\n",
+ " year - 0.5,\n",
+ " year + 0.5,\n",
+ " color=\"red\",\n",
+ " alpha=0.3,\n",
+ " label=\"Conflict Year\" if year == conflict_years_list_continuous[0] else \"\",\n",
+ " )\n",
+ "\n",
+ " if i == 0: # Add legend only to the first plot to avoid redundancy\n",
+ " ax_continuous.legend()\n",
+ "\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8bd0403f",
+ "metadata": {
+ "vscode": {
+ "languageId": "r"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "# Filter data for State of Palestine as a continuous conflict country\n",
+ "# No additional code needed at the placeholder; the filtering is already correct.\n",
+ "palestine_df = continuous_conflict_df[continuous_conflict_df[\"Country\"] == \"State of Palestine\"].copy()\n",
+ "\n",
+ "# Group by year and sum the Value_USD\n",
+ "palestine_yearly = palestine_df.groupby(\"Year\")[\"Value_USD\"].sum().reset_index()\n",
+ "\n",
+ "# Plotting\n",
+ "plt.figure(figsize=(10, 5))\n",
+ "sns.lineplot(data=palestine_yearly, x=\"Year\", y=\"Value_USD\", marker=\"o\")\n",
+ "plt.title(\"Total Value USD Over Time in State of Palestine (Continuous Conflict)\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Total Value USD\")\n",
+ "plt.grid(True)\n",
+ "\n",
+ "# Highlight conflict years (all years in this case)\n",
+ "for year in palestine_yearly[\"Year\"]:\n",
+ " plt.axvspan(year - 0.5, year + 0.5, color=\"red\", alpha=0.2, label=\"Conflict Year\" if year == palestine_yearly[\"Year\"].iloc[0] else \"\")\n",
+ "\n",
+ "plt.legend()\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c340ac08",
+ "metadata": {},
+ "source": [
+ "This step visualizes the total import value (USD) over time for countries experiencing continuous conflict. For each country in the \"Continuous Conflict\" group, a line plot is generated showing the yearly import values. Conflict years are highlighted in red to illustrate periods of ongoing conflict and their potential impact on import trends."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0be53f80",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Group by year and conflict group and calculate the sum of Value_USD\n",
+ "grouped_data = df.groupby([\"Year\", \"Conflict_Group\"])[\"Value_USD\"].sum().reset_index()\n",
+ "\n",
+ "# Plotting the line chart\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(\n",
+ " data=grouped_data, x=\"Year\", y=\"Value_USD\", hue=\"Conflict_Group\", marker=\"o\"\n",
+ ")\n",
+ "plt.title(\"Total Value of Imports (USD) by Conflict Group Over Time\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Total Value (USD)\")\n",
+ "plt.grid(True)\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "aa818881",
+ "metadata": {},
+ "source": [
+ "This compares section the compares total the import values total over import time for values countries with over periodical time conflict (e.g., for Ukraine) and countries continuous conflict with (e.g., State periodical)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a25208eb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Ukraine conflict years: [2014, 2022, 2023, 2024, 2000]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# compare periodical conflict \"Ukraine\" and continuous conflict \"state of Palestine \"\n",
+ "\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "\n",
+ "# Filter data for State of Palestine and Ukraine\n",
+ "countries_of_interest = [\"State of Palestine\", \"Ukraine\"]\n",
+ "filtered_df = df[df[\"Country\"].isin(countries_of_interest)].copy()\n",
+ "\n",
+ "# Group by Country, Year and sum the Value_USD\n",
+ "grouped_df = filtered_df.groupby([\"Country\", \"Year\"])[\"Value_USD\"].sum().reset_index()\n",
+ "\n",
+ "\n",
+ "# Plotting the data\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(data=grouped_df, x=\"Year\", y=\"Value_USD\", hue=\"Country\", marker=\"o\")\n",
+ "plt.title(\"Value USD over Years for State of Palestine and Ukraine\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Total Value USD\")\n",
+ "plt.grid(True)\n",
+ "plt.show()\n",
+ "\n",
+ "\n",
+ "# Get Ukraine conflict years from conflict_years_by_country\n",
+ "ukraine_conflict_years = [\n",
+ " year\n",
+ " for year, flag in zip(\n",
+ " filtered_df[filtered_df[\"Country\"] == \"Ukraine\"][\"Year\"].unique(),\n",
+ " filtered_df[filtered_df[\"Country\"] == \"Ukraine\"][\"Conflict_Year\"],\n",
+ " )\n",
+ " if flag\n",
+ "]\n",
+ "print(\"Ukraine conflict years:\", ukraine_conflict_years)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dc062f90",
+ "metadata": {},
+ "source": [
+ "Non-Conflict Country with Strong Economy vs. Periodical Conflict Country\n",
+ "\n",
+ "After examining countries with continuous conflict, I will now compare a non-conflict country with strong economic conditions to a country experiencing periodical conflict. This comparison aims to highlight how the absence or irregular presence of conflict, combined with economic stability, affects the adoption of solar energy technologies. By analyzing these two contrasting cases, I hope to better understand the role of conflict frequency and economic resilience in shaping renewable energy development."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a2d78933",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Compare Germany (Non-conflict) vs Ukraine (Periodical Conflict)\n",
+ "\n",
+ "# Filter data for Germany and Ukraine\n",
+ "countries_compare = [\"Germany\", \"Ukraine\"]\n",
+ "compare_df = df[df[\"Country\"].isin(countries_compare)].copy()\n",
+ "\n",
+ "# Group by Country and Year, sum Value_USD\n",
+ "compare_grouped = (\n",
+ " compare_df.groupby([\"Country\", \"Year\"])[\"Value_USD\"].sum().reset_index()\n",
+ ")\n",
+ "\n",
+ "# Add conflict year marker for Ukraine\n",
+ "compare_grouped[\"Conflict_Year_Marker\"] = compare_grouped.apply(\n",
+ " lambda row: row[\"Year\"]\n",
+ " if row[\"Country\"] == \"Ukraine\"\n",
+ " and row[\"Year\"]\n",
+ " in [\n",
+ " year\n",
+ " for year, flag in zip(\n",
+ " compare_df[compare_df[\"Country\"] == \"Ukraine\"][\"Year\"].unique(),\n",
+ " compare_df[compare_df[\"Country\"] == \"Ukraine\"][\"Conflict_Year\"],\n",
+ " )\n",
+ " if flag\n",
+ " ]\n",
+ " else None,\n",
+ " axis=1,\n",
+ ")\n",
+ "\n",
+ "# Plot using matplotlib and seaborn\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(data=compare_grouped, x=\"Year\", y=\"Value_USD\", hue=\"Country\", marker=\"o\")\n",
+ "plt.title(\"Germany vs Ukraine: Total Import Value (USD) Over Time\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Total Value USD\")\n",
+ "plt.grid(True)\n",
+ "\n",
+ "# Highlight Ukraine's conflict years in red\n",
+ "conflict_years_ukraine = compare_grouped[\n",
+ " compare_grouped[\"Conflict_Year_Marker\"].notna()\n",
+ "][\"Year\"].tolist()\n",
+ "for year in conflict_years_ukraine:\n",
+ " plt.axvspan(year - 0.5, year + 0.5, color=\"red\", alpha=0.2)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f45cca80",
+ "metadata": {},
+ "source": [
+ "Compare Saudi Arabia (Non-conflict) with stornger economy vs Central African Rep (Periodical Conflict) with un stable economy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8ad145f9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Filter data for Saudi Arabia and Central African Rep.\n",
+ "countries_sa_vs_caf = [\"Saudi Arabia\", \"Central African Rep.\"]\n",
+ "sa_vs_caf_df = df[df[\"Country\"].isin(countries_sa_vs_caf)].copy()\n",
+ "\n",
+ "# Group by Country and Year, sum Value_USD\n",
+ "sa_vs_caf_grouped = (\n",
+ " sa_vs_caf_df.groupby([\"Country\", \"Year\"])[\"Value_USD\"].sum().reset_index()\n",
+ ")\n",
+ "\n",
+ "# Add conflict year marker for Central African Rep.\n",
+ "sa_vs_caf_grouped[\"Conflict_Year_Marker\"] = sa_vs_caf_grouped.apply(\n",
+ " lambda row: row[\"Year\"]\n",
+ " if row[\"Country\"] == \"Central African Rep.\"\n",
+ " and row[\"Year\"]\n",
+ " in [\n",
+ " year\n",
+ " for year, flag in zip(\n",
+ " sa_vs_caf_df[sa_vs_caf_df[\"Country\"] == \"Central African Rep.\"][\n",
+ " \"Year\"\n",
+ " ].unique(),\n",
+ " sa_vs_caf_df[sa_vs_caf_df[\"Country\"] == \"Central African Rep.\"][\n",
+ " \"Conflict_Year\"\n",
+ " ],\n",
+ " )\n",
+ " if flag\n",
+ " ]\n",
+ " else None,\n",
+ " axis=1,\n",
+ ")\n",
+ "\n",
+ "# Plot using matplotlib and seaborn\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(data=sa_vs_caf_grouped, x=\"Year\", y=\"Value_USD\", hue=\"Country\", marker=\"o\")\n",
+ "plt.title(\"Saudi Arabia vs Central African Rep.: Total Import Value (USD) Over Time\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Total Value USD\")\n",
+ "plt.grid(True)\n",
+ "\n",
+ "# Highlight Central African Rep.'s conflict years in red\n",
+ "conflict_years_caf = sa_vs_caf_grouped[\n",
+ " sa_vs_caf_grouped[\"Conflict_Year_Marker\"].notna()\n",
+ "][\"Year\"].tolist()\n",
+ "for year in conflict_years_caf:\n",
+ " plt.axvspan(year - 0.5, year + 0.5, color=\"red\", alpha=0.2)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8f5937f3",
+ "metadata": {},
+ "source": [
+ "compare two periodical countries "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "68cdf2aa",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "countries_ukr_car = [\"Ukraine\", \"Central African Rep.\"]\n",
+ "ukr_car_df = df[df[\"Country\"].isin(countries_ukr_car)].copy()\n",
+ "\n",
+ "# Group by Country and Year, sum Value_USD\n",
+ "ukr_car_grouped = (\n",
+ " ukr_car_df.groupby([\"Country\", \"Year\"])[\"Value_USD\"].sum().reset_index()\n",
+ ")\n",
+ "\n",
+ "\n",
+ "# Add conflict year marker for both countries\n",
+ "def conflict_marker(row):\n",
+ " if row[\"Country\"] == \"Ukraine\" and row[\"Year\"] in conflict_years_ukraine:\n",
+ " return row[\"Year\"]\n",
+ " if row[\"Country\"] == \"Central African Rep.\" and row[\"Year\"] in conflict_years_caf:\n",
+ " return row[\"Year\"]\n",
+ " return None\n",
+ "\n",
+ "\n",
+ "ukr_car_grouped[\"Conflict_Year_Marker\"] = ukr_car_grouped.apply(conflict_marker, axis=1)\n",
+ "\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(data=ukr_car_grouped, x=\"Year\", y=\"Value_USD\", hue=\"Country\", marker=\"o\")\n",
+ "plt.title(\"Ukraine vs Central African Rep.: Total Import Value (USD) Over Time\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Total Value USD\")\n",
+ "plt.grid(True)\n",
+ "\n",
+ "# Highlight conflict years for both countries\n",
+ "for country, conflict_years in zip(\n",
+ " countries_ukr_car, [conflict_years_ukraine, conflict_years_caf]\n",
+ "):\n",
+ " for year in conflict_years:\n",
+ " plt.axvspan(year - 0.5, year + 0.5, color=\"red\", alpha=0.15)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/3_data_exploration/IRENA_OFG_mw_explore.ipynb b/3_data_exploration/IRENA_OFG_mw_explore.ipynb
new file mode 100644
index 000000000..579b22afc
--- /dev/null
+++ b/3_data_exploration/IRENA_OFG_mw_explore.ipynb
@@ -0,0 +1,864 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "caaf856a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "\n",
+ "cleaned_mw_df = pd.read_excel(\n",
+ " \"../1_datasets/cleaned_data/IRENA_OFGStats_mw.cleaned.xlsx\",\n",
+ " sheet_name=\"Cleaned_data\",\n",
+ ")\n",
+ "df_mw = cleaned_mw_df.copy()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "45aab106",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "MW Dataset Info:\n",
+ "\n",
+ "RangeIndex: 31594 entries, 0 to 31593\n",
+ "Data columns (total 11 columns):\n",
+ " # Column Non-Null Count Dtype \n",
+ "--- ------ -------------- ----- \n",
+ " 0 Region 31594 non-null object \n",
+ " 1 Country 31594 non-null object \n",
+ " 2 ISO Code 31594 non-null object \n",
+ " 3 Flow 31594 non-null object \n",
+ " 4 Group Technology 31594 non-null object \n",
+ " 5 Sub-Technology 31594 non-null object \n",
+ " 6 Technology 31594 non-null object \n",
+ " 7 Value 31594 non-null float64\n",
+ " 8 Unit 31594 non-null object \n",
+ " 9 Year 31594 non-null int64 \n",
+ " 10 Conflict Status 31594 non-null object \n",
+ "dtypes: float64(1), int64(1), object(9)\n",
+ "memory usage: 2.7+ MB\n",
+ "None\n",
+ "\n",
+ "MW Dataset Head:\n",
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "0 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "1 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "2 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "3 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "4 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "\n",
+ " Sub-Technology Technology Value Unit Year \\\n",
+ "0 Solar PV (Others) Other off-grid solar PV 0.0 MW 2000 \n",
+ "1 Solar PV (Others) Other off-grid solar PV 0.0 MW 2001 \n",
+ "2 Solar PV (Others) Other off-grid solar PV 0.0 MW 2002 \n",
+ "3 Solar PV (Others) Other off-grid solar PV 0.0 MW 2003 \n",
+ "4 Solar PV (Others) Other off-grid solar PV 0.0 MW 2004 \n",
+ "\n",
+ " Conflict Status \n",
+ "0 No Conflict \n",
+ "1 No Conflict \n",
+ "2 No Conflict \n",
+ "3 No Conflict \n",
+ "4 No Conflict \n",
+ "\n",
+ "MW Dataset Columns:\n",
+ "['Region', 'Country', 'ISO Code', 'Flow', 'Group Technology', 'Sub-Technology', 'Technology', 'Value', 'Unit', 'Year', 'Conflict Status']\n",
+ "\n",
+ "==================================================\n",
+ "\n",
+ "Duplicate columns in MW dataset:\n",
+ "[]\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(\"MW Dataset Info:\")\n",
+ "print(df_mw.info())\n",
+ "print(\"\\nMW Dataset Head:\")\n",
+ "print(df_mw.head())\n",
+ "print(\"\\nMW Dataset Columns:\")\n",
+ "print(df_mw.columns.tolist())\n",
+ "\n",
+ "print(\"\\n\" + \"=\" * 50)\n",
+ "\n",
+ "# Check for duplicate columns\n",
+ "print(\"\\nDuplicate columns in MW dataset:\")\n",
+ "print(df_mw.columns[df_mw.columns.duplicated()].tolist())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "b3c09f87",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['Solar PV (Others)', 'Solar PV (Health)',\n",
+ " 'Solar PV (Commercial/Public)', 'Solar PV (Education)',\n",
+ " 'Solar PV (Not specified)', 'Solar PV (Industry)',\n",
+ " 'Solar PV (Tourism)', 'Solar PV (Public lighting)',\n",
+ " 'Solar PV (Communication)', 'Solar PV (Residential)',\n",
+ " 'Solar PV (Agriculture)', 'Solar PV (Multi-purpose)',\n",
+ " 'Solar mini-grids', 'Solar lights', 'Solar pumps',\n",
+ " 'Solar home systems', 'Onshore wind energy', 'Hydropower',\n",
+ " 'Solar cookers', 'Solar lights and SHS'], dtype=object)"
+ ]
+ },
+ "execution_count": 4,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_mw[\"Sub-Technology\"].unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "2d3ddbf9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array(['Other off-grid solar PV',\n",
+ " 'Other off-grid solar PV (of which health)',\n",
+ " 'Other off-grid solar PV (of which commercial/public)',\n",
+ " 'Other off-grid solar PV (of which education)',\n",
+ " 'Other off-grid solar PV (of which not specified)',\n",
+ " 'Other off-grid solar PV (of which industry)',\n",
+ " 'Other off-grid solar PV (of which tourism)',\n",
+ " 'Other off-grid solar PV (of which public lighting)',\n",
+ " 'Other off-grid solar PV (of which communication)',\n",
+ " 'Other off-grid solar PV (of which residential)',\n",
+ " 'Other off-grid solar PV (of which agriculture)',\n",
+ " 'Other off-grid solar PV (of which multi-purpose)',\n",
+ " 'Solar mini-grids', 'Solar lights (<11 W)', 'Solar pumps',\n",
+ " 'Solar pumps (public water supply)', 'Solar pumps (agriculture)',\n",
+ " 'Solar home systems (SHS 11-50 W)',\n",
+ " 'Solar home systems (SHS >50 W)', 'Onshore wind energy',\n",
+ " 'Hydropower', 'Solar cookers',\n",
+ " 'Solar lights and solar home systems (SHS)'], dtype=object)"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df_mw[\"Technology\"].unique()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "994f82a6",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Conflict Status\n",
+ "No Conflict 26748\n",
+ "Conflict 4846\n",
+ "Name: count, dtype: int64\n"
+ ]
+ }
+ ],
+ "source": [
+ "print(df_mw[\"Conflict Status\"].value_counts())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "39420c3d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 16. Plotting Solar PV Capacity Growth per country\n",
+ "\n",
+ "# Sort just in case\n",
+ "solar_df = solar_df.sort_values(by=[\"Country\", \"Year\"])\n",
+ "\n",
+ "# Set plot style\n",
+ "sns.set(style=\"whitegrid\")\n",
+ "\n",
+ "# Create the FacetGrid\n",
+ "g = sns.FacetGrid(solar_df, col=\"Country\", col_wrap=3, height=4, sharey=False)\n",
+ "\n",
+ "# Map lineplot to each subplot\n",
+ "g.map_dataframe(sns.lineplot, x=\"Year\", y=\"Electricity Installed Capacity (MW)\")\n",
+ "\n",
+ "# Formatting\n",
+ "g.set_titles(\"{col_name}\")\n",
+ "g.set_axis_labels(\"Year\", \"Installed Capacity (MW)\")\n",
+ "g.fig.subplots_adjust(top=0.92)\n",
+ "g.fig.suptitle(\"Solar PV Installed Capacity Growth (2000–2025)\", fontsize=16)\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dd66c4bc",
+ "metadata": {},
+ "source": [
+ " All these countries have experienced conflict or political instability, yet they still managed to build significant solar power capacity, with Ukraine reaching over 8,000 MW and Yemen hitting 250+ MW despite ongoing wars. The data shows that even in conflict zones, governments prioritize renewable energy development, but the growth patterns are highly volatile - countries can rapidly build solar capacity during stable periods but face sharp declines when conflicts intensify, demonstrating both the resilience of renewable energy investment and its vulnerability to disruption in unstable regions."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "399db0ec",
+ "metadata": {},
+ "source": [
+ "**Key Finding:** The individual country plots reveal distinct solar energy development patterns and timelines across the dataset.\n",
+ "\n",
+ " **Ukraine** shows the most dramatic growth trajectory, rising exponentially from near-zero to _8,000 MW between 2016-2022 before declining._ \n",
+ " **Yemen** demonstrates the second-highest peak capacity (~250 MW) with rapid growth around 2020 followed by a sharp decline. \n",
+ " **Sudan** shows steady, consistent growth reaching ~100 MW by 2025. \n",
+ " Most other countries (**Afghanistan, Ethiopia, Iraq, Libya, South Sudan**) exhibit much smaller-scale development with capacities under 50 MW, often with periods of stagnation or decline. \n",
+ " \n",
+ " The visualization effectively demonstrates that solar capacity development varies dramatically not just in scale but also in timing and sustainability, with some countries experiencing rapid buildups followed by capacity losses while others maintain steady growth patterns."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 21,
+ "id": "402761ad",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAABKoAAASqCAYAAAB54IMTAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1zU9R/A8dexQUGG4MA9oNy4NSdqprm1n2bhzpmmmVqapqapmVppZm5zz7Qcube490hRATcbZN4dcL8/rrs8AQUE7oD38/HgAXzn+/O9447v+z6f90eh0Wg0CCGEEEIIIYQQQghhZGbGDkAIIYQQQgghhBBCCJBElRBCCCGEEEIIIYQwEZKoEkIIIYQQQgghhBAmQRJVQgghhBBCCCGEEMIkSKJKCCGEEEIIIYQQQpgEC2MHIIQQQgghhBBCCNOUlJSEWq02dhgij7C0tMTc3PyV20iiSgghhBBCCCGEEAY0Gg3Pnj0jMjLS2KGIPMbR0ZGiRYuiUChSXS+JKiGEEEIIIYQQQhjQJanc3Nyws7NLM6kgRHppNBri4uIIDg4GoFixYqluJ4kqIYQQQgghhBBC6CUlJemTVC4uLsYOR+Qhtra2AAQHB+Pm5pbqMEAppi6EEEIIIYQQQgg9XU0qOzs7I0ci8iLd8yqt2meSqBJCCCGEEEIIIUQKMtxPZIfXPa8kUSWEEEIIIYQQQgghTILUqBJCCCGEEEIIIUT6xMeDSmWcc1tZwb81jkTeJYkqIYQQQgghhBBCvF58POzYARERxjm/kxN07JjpZFVMTAzvvPMOBQoU4MiRI1hZWaV7Xz8/Px4/fkyzZs0A8PT0ZMaMGXTp0iVTsaRHeHg4S5cu5eDBgzx9+hQnJyfq1q3LsGHDKFOmTJaea/v27cyZM4fIyEjGjBnDypUr6dy5M8OHD2fbtm189dVX3L59O13HOnz4MCVLlqRChQqZikWG/gkhhBBCCCGEEOL1VCptksrWVps0yskvW1vtud+gN9euXbtwcXEhJiaG/fv3Z2jfQYMGce3aNf3vJ06coG3btpmO5XUCAgLo1KkTly9fZsKECezatYs5c+YQFhbG//73v3QnjdJr+vTpNGzYkL///pvOnTsbrGvbti0nTpxI13EeP37M4MGDCQsLy3Qs0qNKCCGEEEIIIYQQ6WdjAwUK5Px54+PfaPetW7fSqFEjgoKC2LBhA++//36mj+Xq6vpGsbzO2LFjKVasGCtXrtT3/CpZsiSLFi2ic+fOzJw5kxUrVmTZ+Z4/f07dunVxd3dPsc7GxgYbG5t0HUej0bxxLNKjSgghhBBCCCGEEHnavXv3uHLlCu+88w7vvfceZ8+e5d69ewbbrF69mtatW1OtWjXatm3Ljh07APD29ubx48csWLAAHx8fQDv0b9u2bZw5cwZPT88Ux+rbty9jxowBIDo6mokTJ1K/fn1q1apFr169DHpnvezGjRtcuXKFgQMHphieaGVlxbx58/jmm28M2jZ48GDq1atHrVq1GDFiBE+ePNGv9/HxYdasWYwfP57atWtTs2ZNxo0bR2xsLI8ePcLT0xOA8ePH639+0bZt2wyWx8XFMW3aNBo1aoSXlxcfffQRV69e5dGjR7Ro0QKAXr16MX/+/DTb+CqSqBJCCCGEEEIIIUSetmXLFuzs7GjSpAktW7bEysqK9evX69cvW7aMH374gf79+7Nz504++ugjvvrqK06ePMmWLVsoWrQo/fr1S5F8qVu3LiVKlODPP//ULwsODub06dN07twZjUbDJ598QkBAAL/99hubNm2iRo0afPjhh9y8eTPVWHVJLC8vr1TXe3h46GtUPX78mO7du2NlZcWqVatYsWIFYWFhfPzxx8TExOj3Wb16NYULF2bz5s1MmzaN3bt3s3LlSooVK6Yf1jd+/Ph0DfEbNWoUhw8f5rvvvmP79u2ULVuW/v37Y2Njw+bNmwGYP38+/fr1e+2xUiND/4QQQgghhBBCCJFnJSYm8tdff9G8eXNs/y3E3rRpU3bs2MHo0aOxtbVl5cqV9OrVi//9738AfPTRRyQkJJCUlISzszPm5ubY2dnh6OhocGyFQkHnzp35448/GDVqFAA7d+6kSJEi1K9fn9OnT3Pp0iV8fX1xdnYG4PPPP+fixYv8/vvvzJw5M0W8UVFRADg4OLy2bevWrcPOzo4ffvhB3/vq559/xtvbmz///JOePXsCUL58eT7//HMAypYty65du7h48SLm5ub6YYz29vavHdLo7+/PkSNHWLp0KY0bNwZg0qRJFChQgOfPn+vbWKhQIQpkcnioJKqEEEIIIYQQQgiRZx09epSQkBCD4udt27Zl//797Nq1C29vb4KDg6levbrBfv3790/X8Tt16sSCBQu4ePEiNWvWZMeOHXTs2BEzMzNu3LgBoB8Sp6NSqVAqlakeT5fsiYyMpHDhwq889507d6hSpYrBEEEXFxfKli1rUHC9fPnyBvvZ29vz/PnzdLXvRbpj1qhRQ7/MysqKr776CoBHjx5l+Jgvk0SVEEIIIYQQQggh8qxt27YBMGLEiBTrNmzYwHvvvQdoe0dlRokSJahbty5//fUX9vb2/PPPP/z4448AJCcnU7BgQX0ML3q5/pSObsjf5cuXadmyZYr1f/31FwcPHmTmzJloNJpU405KSsLS0vK158ooCwttGimz1yo9pEaVEEIIIYQQQggh8qTw8HCOHj1Kly5d2L59u8FXt27duHbtGoGBgbi5uaUocD5ixAimTZuWrvN06dKF/fv389dff+Hl5UXZsmUBbT2pmJgYVCoVpUuX1n8tWbKEgwcPpnqsChUqULNmTRYvXoxarTZYl5CQwOLFiwkLC8PGxgYPDw+uXr2KSqXSbxMaGkpgYGCKXlRZQXfMF69VYmIizZo1Y9euXVmSwJJElRBCCCGEEEIIIdIvIQFiY3P2KyEhU6Hu2LGDxMREBgwYgIeHh8HX4MGDMTc3Z/369QwcOJBVq1axfft2Hjx4wNq1azl48KC+R1OBAgUICAggNDQ01fO0bt2auLg41qxZQ+fOnfXLGzduzNtvv83IkSPx9fUlMDCQWbNmsXXr1lcmkqZOncqDBw/o06cPx48f5+HDh5w6dYp+/foRHBzM5MmTAfjwww+JiYnhiy++4J9//uHq1at89tlnODk58f7772fqmr1K2bJleffdd5kyZQq+vr74+/szadIkVCoVDRo0wM7ODtAOSYyOjs7UOWTonxBCCCGEEEIIIV7PygqcnCAiAuLjc/78Tk7aGDJg27ZtNGzYMNWkUMmSJWnVqhW7du1i3LhxKJVKfv75Z0JCQihTpgzz5s2jfv36APj4+DBr1iz8/PwMZvjTsbW1pU2bNvz111+0adNGv9zc3Jzly5cze/ZsRo0aRXx8POXLl2f+/Pk0aNAgzbgrVqzI5s2bWbx4Md988w0hISG4uLhQv359Zs2aRcmSJfVtWL16NT/88IN+9r933nmH2bNnp6sYe2bMmDGD77//nlGjRqFUKqlevTrLly/X19bq2rUr33//PYGBgXz99dcZPr5Co9FosjpoIYQQQqQtrVoCIv+Q50DGyPUSQoiclZCQgL+/P2XLlsXGxsZwZXw8vDDMLEdZWcG/s/aJ3OuVzy+kR5UQQpiE8PBwfv/9d44dO8aDBw9QKpU4OTlRtWpV3n//fdq0afPGN2nz589nwYIFDB48WD91bk559OhRiplOdCwsLLCzs6NUqVJ4e3vTu3dvChYsCMCAAQM4fvw4ffv25csvv3zteYYOHcrBgwcZM2YMAwYMeOW23t7ePH78mN9//5169eplvFGZoFQqWbJkCRYWFgwePDjTxzlz5gy9evWiZs2arF+/Ps1lWe1NnkNnz55l27ZtXLlyhWfPngHawqPNmjWjV69er50KOTfy9PQE4MaNG/rCo0FBQcyePZuuXbu+8lPUN5WcnMypU6fYsWMHN2/eJCgoCLVajbOzM9WqVaNNmza0bt06VyR/du3axYEDB5g3b55+WXY937ds2cK0adPYs2cPxYoV0y/fs2cP69ev59atW8THx+Pm5kaTJk0YMmQIRYoUSXGcmJgYlixZwt69e3ny5AlOTk40a9aMESNG4OLikuq59+/fz/Lly7l79y4ajYaqVasycODANJ8nDx8+ZP78+Zw7d46wsDDc3d3p1KkT/fr1Myie+yayu90qlYqVK1eya9cuAgMD0Wg0lCpVirZt29KvXz+sra1THL927dqk9Tl74cKFOXnypP73wYMHExMTw6pVqzA3N3/DqyGE0LO1lWSRyFaSqBJCCCO7du0a/fv3JyoqCnd3d+rUqYOlpSVPnjzh8OHDHDhwgK1bt/Lrr79m2WwdxtS+fXuD35OTk4mOjubSpUv8/PPP7Ny5k40bN+Lg4EC3bt04fvw4u3btYuzYsZiZpV1aMSIigmPHjmFhYUGnTp2yuRWZs2TJEubPn/9GSarcJioqigkTJrB//34UCgWenp40bNiQ2NhYbt26xeLFi1m/fj2//fYbtWrVMna42W7MmDGcOXOGLl26ZNs5Hjx4wMiRI/XTYXt4eFC3bl3Mzc0JDAxk7969/P3339SqVYtffvkFJyenbIvlTZ07d47PP/+cmjVrZvu5Hj58yPTp0xk4cKBBkmratGmsXr0aCwsLqlatipOTEzdv3mT9+vXs3buXNWvWGAwniY2NpXfv3ly/fp2SJUvSrFkz7ty5w4YNGzh8+DCbN29OkeT57bffmDt3Lra2ttSvX5+EhATOnDmDr68v3333XYrny927d+nZsydRUVFUq1aNKlWqcP78eebOncuZM2dYvHixPjmaWdnd7vj4ePr27culS5ewt7enZs2aKBQKLl++zI8//sjhw4dZuXKlvtYJwM2bN9FoNJQtW5YqVaqkiPnlIS7jx4+nbdu2LF26lEGDBr3R9RBCCJFzJFElhBBGlJiYyGeffUZUVBSTJk3io48+Mljv7+/Pp59+yokTJ5g7d266ehWZuh9++CHV5ZGRkfj4+HDnzh0WLFjA+PHj8fb2xsnJieDgYM6cOfPKHig7d+5ErVbTqlUrChcunF3hv5H8NtpepVLRp08fbt68ScOGDfn6668Nbmzj4uKYP38+y5cv55NPPmHDhg14eHgYMeKstXv3bgCDhEF2PweCgoLo2bMnISEhNG/enPHjx1OqVCmDbe7fv8/EiRM5f/4848aNY/Hixdka05tITk7OsXNNmTKFAgUK0K9fP/0yX19fVq9ejZOTE8uXL6dSpUqA9rk9bdo0Nm7cyJdffsnmzZv1+yxYsIDr16/Tvn17Zs6ciYWFBcnJycyaNYuVK1cybdo05s+fr9/+9u3bzJs3D1dXV9avX6+vOXL+/Hk++eQTpk6dSuPGjQ16HY4bN46oqCgmT57Mhx9+CGh7Gw0ePJiTJ0+yfv16fHx8Mn0tcqLdixYt4tKlS3h5efHLL7/oe1yFhYUxZMgQrly5wi+//MKYMWP0+9y8eRPQFg7u3bv3a9tRqlQpPvzwQ3755Rfatm2rv7ZCCCFMm8z6J4QQRnThwgUeP35MrVq1UiSpQDurxvfffw/Axo0b83Siw9HRUT+cbN++fQBYWVnRoUMHgFSLVr5o+/btAHzwwQfZF6TIkHnz5nHz5k3q1q3Lb7/9lqKIqZ2dHePGjaNdu3bExsYa3MTmBeXLl8+WaaFfZfLkyYSEhNCmTRt+/fXXFEkqgHLlyrFkyRLc3d05evQoly5dytEYTdHp06c5fvw4Pj4+BrUytmzZAsCnn36qT9aA9rXp66+/xtHRkatXr/Lw4UNAmyzasGEDtra2fP311/okpZmZGWPHjqVEiRLs27ePx48f64+1fPlyNBoNw4YNM0ik1K5dm759+xIfH8/GjRsNYr1+/TrVq1fXJ6kAChYsyHfffYdCoWDVqlVvdD1yot1//PEHoJ3V6sVhgS4uLkyaNAnQDvt8kS5RVbly5XS3pX///iQmJvLTTz+lex8hhBDGJYkqIYQworCwMIBX1s6oXLkyXbp0oX379sS/NLtKfHw8v/zyC+3bt6datWrUrFmTnj17vjap86KEhARWrFhBjx49qFu3LpUrV6Z+/fp88sknnDhxIsX2np6edOzYkbNnz/Lee+9RtWpVWrdurb9heRO6m+oXp/3t1q0boE1eKZXKVPe7e/cu169fp0iRIjRq1CjT5z9z5gyenp5Mnz6d+/fvM2LECOrVq0e1atXo0qULW7duTbGPUqlkwYIFdO7cmZo1a+Ll5UXnzp357bffSHhhGmVvb28WLFgAaHsSeHp6GiRmoqKimD9/Pl26dKFWrVpUqVKFRo0aMWLECK5evZrpNoG2l83UqVPx9vamSpUqNGzYkFGjRnHnzp1Utw8ODmbq1Kk0b95c3/a9e/dm6JwJCQn6m+vx48e/ctjqsGHDeOutt3B1dSUxMVG/PDExkc2bN9O7d2/q1atH5cqVqVu3Lj4+PuzcuTPFcby9vfHy8iI+Pp7vvvuORo0aUaNGDTp16pRmojcz1z0wMJBJkybh7e1NtWrVaNWqFZMmTdLX3tLx9PTE09OTxMREHj16hKenJ2fPngWgb9++eHp6cubMGQYPHoynp6dBMuJFixcvxtPTk0WLFqV5DUE75O/QoUMUKFCAyZMnv7L+lJ2dHSNGjMDHx8dgaNW2bdvw9PRk5cqVzJs3jzp16uDl5cUXX3yh3yY8PJxZs2bRunVrqlSpQt26denfvz9Hjx41OEfXrl3x9PRMcR2Dg4P118bPz89g3b179/D09KR///58+eWX9OrVC4CLFy/i6emZai+h+/fv89lnn1GvXj2qV69Oly5d9Inr9FqyZAnm5uZ07do1xXWqWLEitWvXTrGPlZUV7u7ugPZvDLRDFePi4qhduzaOjo4G25ubm+Pt7Q1gcK10P7dq1SrFOXTLUtteN136i0qVKoWnpycPHz7k3r17r270K2R3u2NjYylVqhRvvfVWqr0oy5QpA2ifKy+6desWZmZmvP322+luS9GiRWnSpAm7d+82SJQJIdInL39IKozndc8rGfonhBBGpCu2fPbsWRYsWECfPn30hcRfNGPGjBTLIiIi8PHxwc/PD0dHRxo3bkxCQgJnz57lwoULnDx5kpkzZ77yZlWpVOLj48PVq1dxc3PT1wi5ffs2x44d4/jx4yxYsCDFDZFuaEaxYsVo1KgRjx8/pkSJEm94NdAnTooXL65f5uHhQbVq1bh69SqHDh0ymO5XR/fJfJcuXbKkYK6fnx/dunXDxsYGLy8vIiMjuXTpEuPHjycqKko/NEij0fDFF1+wb98+ihQpQr169UhOTubChQvMnTsXX19fVq5cCWhvKn19fblz5w4eHh76G3XQXs8ePXrw4MEDSpUqRf369VGr1dy4cYO9e/dy6NAh1q9fT9WqVTPcllu3btGvXz/Cw8MpVaoUzZo1IygoiN27d3Pw4EHmz59P06ZN9ds/evSIjz/+mKdPn1K6dGmaNWvG3bt3GTFiBBUqVEj3eY8cOUJsbCzly5d/7U1luXLl2LFjh8EyjUbD8OHDOXToEI6OjlSrVg1ra2vu3r3L2bNnOXv2LOHh4fpEhk5ycjJDhgzhzJkz1KlTBzs7O3x9fZk0aRIXL15k1qxZ+m0zc919fX0ZNmwYsbGxVKxYUX99Nm7cyMGDB9m0aZP+Jv5FdnZ2tG/fnlOnThEWFkaDBg0oXLgwhQsXplu3bhw+fJgdO3bQvXv3FPv+8ccfmJmZvbb2mi5B3bx58xTJgtR06tQpzWOuX7+ehw8f0rBhQ6KjoylbtiygTYZ99NFHBAcHU6RIEby9vYmIiMDX15cTJ04wZMgQRo4cqY/j+vXrnDp1imrVqhlcQ52zZ89SsWJF/e/Hjh0DtElHCwsLgoKCOHXqFM7Ozrzzzjspeqg9evSIDz74ABsbG2rXrk1wcDBXr17VD41Lz/CwoKAgTp48Sc2aNVMMG/7222/T3C82Npb79+8D6Gsv6RJvL7bpRbq/Id1rXUhICBERETg5OaU6ZLl8+fIoFAr8/Pz0Mx/q9k1rmGyFChX4559/uH37dqZ79GV3uwsUKMCaNWvSPMe1a9cMjg/a96v79+/j7u7Ojh072LJlC/7+/lhbW9OwYUOGDRuWZnu9vb05fPgw27dvZ9iwYWmeVwjxH13PyBc/QBIiq+ieV2nVU5RElRBCGFH58uXp2rUrW7duZf78+fz222/UrVuXOnXqULt2bapXr57m7E0TJ07Ez8+P5s2bM2fOHAoUKABoe3v079+f7du3U6VKlVfWKVm3bh1Xr16lVatW/Pjjj/o3i6SkJKZNm8a6detYu3ZtikSVrv7NwoULMTMzIzk5+Y1nD3vy5Alz5swBoF27dgbrunXrxtWrV/nrr79SJKqSk5P566+/UCgUKXpDZJavry+tW7dmxowZ+uu6evVqpk2bxpIlS+jbty8KhYILFy6wb98+6taty/Lly/WPVXh4OP/73//w9fXl/Pnz1K5dm/HjxzN//nzu3LmDt7e3wax5v/76Kw8ePMDHx4cJEybor6VSqWTkyJEcOnSIjRs3ZjhRpVarGTFiBOHh4YwdO5Z+/frpj33o0CFGjBjBmDFj+Pvvv3F2dga0BZSfPn1K9+7d+eabbzA3N0ej0fDzzz+zcOHCdJ9bdyNbvXr1DMWss3//fg4dOkT16tVZtWoVti/MLrR48WLmzJnDmjVrUiSqEhISuHz5MitXrtTP5hgYGEivXr3Yvn07zZs357333gMyft1jY2MZN24csbGxTJw4kY8//hjQJtVmz57NsmXLmD59eqrXydnZmR9++AEfHx/CwsIYOHAgDRs2BKB06dIULlyYixcv8vDhQ4PhX1euXOH+/fs0atSIokWLvvKa6W7us2IWy4CAAObNm0fbtm0B7d+ZRqNh5MiRBAcH87///Y+JEyfqe8pdvXqVTz75hF9//ZVq1arh7e1N06ZNmT9/PqdOnTKYQOD06dOYm5uTlJTEuXPnDIY96xJVzZo1w93dnTJlynDq1CnKlCmTan274OBgWrduzezZs/UzxC1dupTZs2ezfPnydCWqTpw4gUajoU6dOhm6Rr/99hvx8fFUqlRJ/5jpegC5ubmluo+uzpSu12hISIjB8pdZWVlRqFAhIiMjiY2NpWDBgq/d5+VzZLWsaPer6F5vAN5991398n/++YfExEQePnzItGnTqFWrFvXq1ePmzZvs2rWLw4cP699DX6Z7bE+cOCGJKiHSydzcHHNzc54/f469vb2xwxF5zPPnz/XPsdRIokoIIYxs6tSplChRgiVLlhAXF8eJEyf0Q+7s7Oxo3rw5gwcPNvj0/PHjx+zfv5+CBQsye/ZsfTIFtDe906dPp1evXixduvSViSpLS0uaNm3K559/bvCJhrm5Od27d2fdunU8evQo1X179eqln4XvVbPxvezFIUSgTYo9e/aMq1evkpiYiJeXFwMHDjTY5v3332fGjBkcO3aMqKgoChUqpF936tQpgoKCaNiwYZYVyrWwsNAXVtbp3r0733//PeHh4YSGhuLq6qq/OXNxcTFIKDo7O/Ptt9/y9OnTVHvXvMzBwYHGjRszYsQIg4SftbU1Xbt25dChQ2k+Dq+yf/9+Hjx4QLNmzejfv7/BOm9vb/73v/+xdu1atmzZwsCBA3n27BmHDx/GxcWFr7/+Wv/Pg0KhYMSIERw+fJhbt26l69y6m+nUpqRPD7Vajbe3N3369DFIUgH06NGDOXPmpHlNBg8ebJCsKV26NF9++SUjR45k3bp1+kRVRq/7wYMHCQoKokmTJvokFWivz8iRIzl69ChKpZLExMQMzbhmYWFBhw4dWL58OTt27ODTTz/Vr9u2bRtAupKwuqGHaSULJk2aRFxcXIrlZcuWTXHzXqRIEX2SCrR/4+fOnePGjRuUKlWKb775xqCN1apVY9y4cXz11VcsXbpUP8zU1dWVS5cuER8fr38cT58+TdWqVQkJCeHcuXP6Y8TFxXH+/Hk8PT3T9XcD2teqqVOn6pNUAL1792bevHk8e/YsxetFanTDMTNSyP/AgQMsWbIEMzMzg0kudNf3xTpXL9It122n+/7yc/xFurbpElWvO4du+9Qe6zeVVe1+lVmzZnHx4kUKFy5sMFOfrj5VqVKlWLRokb73lFqtZs6cOaxYsYJRo0axf/9+g+GsoH0NsLW15erVqyQkJKQZpxDiPwqFAjc3N54+fYq1tTUFChR44w8lhdBoNMTGxvL8+XOKFSuW5nNKElVCCGFkFhYWDB06lN69e3Ps2DFOnjzJ2bNnCQwMJC4ujl27drF3714mTpxIjx49APQ3d++8806qn3LVq1cPV1dXnj17ph/WlJqPP/7Y4IYbtHWv/Pz89LVEVCpVqvtmdna2v/76y+B3S0tL7O3tqVWrFq1ataJ79+4p6hkVLFiQ1q1bs337dv7++2+D4VHZUUS9dOnSODk5GSyzsrLCycmJoKAgfe0pLy8vLC0t2bNnD8+fP6dNmzY0btyYokWLvnKGwpeNGDEixbLo6Ghu376tT1qm9Ti8yunTpwHSjKVp06asXbuWM2fOMHDgQP0Ne4MGDVI8BgqFgpYtW6Y7UaVLciUlJWU4btAmJ99//32DZSqVinv37nHx4kX9sZOSklJ8GvfyfvDfULILFy7oE0kZve6666Ort/MiKyurFIWfM6Jbt24sX76cP//8U5+oUqlU7Nmzh0KFCqVaj+hlr5shb/fu3URHR6dYXrNmzRSJqtT+vnXtb9myZaqJuPfee4+vv/6aK1euoFKpsLKyokmTJmzdupXz58/TuHFjAgMDefLkCe3bt+fBgwfs2bOH+/fvU65cOXx9fVGpVDRv3vy1bdUpU6ZMimGOlpaWuLi4EBQUxPPnz1+bqHry5AlgOOT4Vfbu3cvo0aNJTk7miy++MEiKvpjcTY2uJofuuy7J/6qbv5freLzuHGnt96ayst1pmTVrFitWrMDa2poff/xR39MTtB8WNGvWDGtra4PllpaWjB07lrNnz+qH7Xbu3NnguGZmZhQrVoz79+8TEhIis/8JkU6FChUiPj6e0NBQ/QdQQrwphUKBo6PjK9+fJVElhBAmokCBArRp00Y/tC0oKIhjx46xatUq/Pz8mDJlCrVq1aJixYr6njyv6nXg7u5OSEgIwcHBaSaqQDsUY/369Zw5c4aAgABCQ0P1tVAg7RsLBweHTLXz9u3bmdqvW7dubN++nb/++kufqIqJieHAgQM4Ojqm60Y+vdJqm+7mXJcQKFasGN9//z2TJk3i5MmTnDx5EtDWaWnVqhUffvhhmr1bXvbw4UPWrVvHpUuXCAgIICIiAuC1j8OrPH36FNDWOEutzpmOrieO7nn1Yl2YF2WkDpmu3boJAzIjJiaGTZs2cfz4cfz9/QkKCkoxzDS1m/jUbkKtra1xcnIiJCSE8PBwfXwZue66f9LTm9DIiPLly+Pl5cWlS5e4fPkyNWrU4MCBA0RFRdGzZ89XFqPXKVKkCHfu3EnzZuL8+fMGv585cybF0Emd1P551D0/0noe2NnZ4ezsrL/GRYsWpVmzZmzdupVTp07RuHFjffK0Xr16FClShD179nDu3DnKlStnUJ8qvdL7t/oq4eHhAKnWB3zZ77//zowZM0hOTuazzz7jk08+MViv68nz4kQKL9JNCKHrQfW67eG/ZOnL+6Q1ucSL5zh//jwbNmx4bbtelNoQy6xu98tUKhXjx4/nr7/+wtbWlgULFqQYiqlLNqXGzMyMpk2bcuPGDa5fv54iUQXoP9QJDQ2VRJUQ6aRQKChWrBhubm6o1WpjhyPyCEtLy9fWlJVElRBCGNHdu3cJCQmhdu3aKWpRFSlShA8++ICOHTvSq1cvLl26xM6dOw1qG6XnU/hX3eDqZhyLi4ujWLFiVK9enfLly1OpUiXc3d31M+6lJiPD/bJCnTp1KFOmDOfPn+fJkycUL16cv//+m/j4eD744IN03cinV0a6trdt25YmTZpw6NAhjh49yunTp/Hz88PPz49Vq1axcuVKg0LSqdm5cyfjxo0jMTGR0qVLU69ePSpUqECVKlVITk5m6NChmWqH7ia9Xr16r0yY6XonvK7dGRnOpps+/sqVK+nafsGCBZQuXZqmTZvi4OCAn58fvXv3JiwsDBcXF6pUqUKbNm14++23qVu3rkEB+Be96nmp+5vQtSOj1z27C8p27dqVS5cu8eeff1KjRg19gfkuXbqka/+3336b48ePc/HixTfuYZjacyE9ydKXX3caNmyIpaUlp06dArT13ywtLalZs6Y+IXr27Fm6d+/O8ePHcXFxee3fy+vizCjd4/qqpFZSUhLfffcda9aswdzcnMmTJ/Phhx+m2E73d5ZWLaaX60vprkFa26tUKqKiorC2ttYn5dzc3Lh58yYhISGpTlSgO4ebmxsPHjxI0Yv1dV5MVGVXu18UERHBsGHDuHDhAo6OjixatAgvL68MxQzoi9G/PDvui2158bsQIv1eVUtIiOwgiSohhDCiYcOGERAQwObNm9O8ObOysqJ9+/ZcunRJ39tDd1PwqrpFDx8+BEh1JinQ3lBOmDCBuLg4vvnmG3r27GmwXlcPxJR06dKFuXPnsnPnTgYOHKi/kc/KYX+ZUbBgQTp06ECHDh0AuHHjBnPnzuXEiRP89NNPLFu2LM19Y2NjmTRpEgALFy6kRYsWBuv379+f6bh0N4Xt27dP1zXSFetOawr3l6eKf5W6detib29PQEAAt2/f1s9wmJoHDx4wf/58AHbs2IGDgwNTp04lLCyMTz75hM8//9wgARUVFZXmsdRqNeHh4QZDg0B78xoeHo6NjQ1OTk6Zuu66vztdD7SXHThwAJVKRePGjTNVeLZt27Z899137Nu3j1GjRnHy5Ek8PDzSXUS/Q4cOLF68mP379/PVV19lutdjWl73uhMbG0t4eDjm5ub64XgFCxakTp06+Pr6EhYWxrlz56hWrRq2trZUqFABV1dXzpw5w71793j8+DFdu3bN8Roout5jup5VL1Or1YwcOZIDBw5gZ2fH3Llz0xyeqBsyeffu3VTX62bH023n5OSEq6urwex/L7p79y4ajcZgKKaHhwdHjhzh3r17NGnS5JXnqFChQroTnS/LznbrBAUF0atXLwICAihdujSLFy+mTJkyqR5j0aJF3Lx5k759+6aayNI9L9OadED3/pmeGTGFEEIYV85+HC6EEMJAzZo1AVi1atUrt/P39wf++ye/Vq1aKBQKTp48SUxMTIrtT58+TXh4OCVKlEhzmFJoaCgPHz7EwcEhRZIK0NfoSc/QmZzSqVMnzM3N2bdvHyEhIZw/f57q1atnul7Wm1qxYgXNmzfX18nSqVy5MmPGjAEMkxqp3YD7+fkRGxtLxYoVUyRL4L/HITND/3RDZ3T1xl62du1aOnbsqJ+lrn79+piZmXHq1CliY2NTbH/kyJF0n9vS0lJfyP+7775LszeSRqPh+++/B7TP67feeguAy5cvAzBo0KAUvaR0Qywh9ednau09dOgQycnJvPPOOygUikxdd93fq26I2ouSkpKYPHkyY8aMyfTfTIECBXjvvfcICQnhp59+Qq1WZyjJoBtyGh0dzYQJE14bR0aT0brn08GDB1N9PP/++2+Sk5OpXbu2wWPWtGlTNBoN69atIzQ01KC2Ub169QgJCdG/Br487C8nkla6xEhaidixY8dy4MABnJ2dWb169StraNWuXRs7OzvOnj2boh5YUlIShw8fxszMzCDB1LhxY0B7XV+mS5i+2INQt++BAwdSbP/gwQPu3LmDu7s7FSpUSDPO9Mjudj9//pzevXsTEBBAtWrV2LBhQ5pJKtC+D+7duzfVHmIJCQn8/fffADRq1CjF+qSkJMLCwtIcGiyEEMK0SKJKCCGMaMCAAdjY2LBz504mTZpEZGSkwfrk5GQ2bdrEhg0bcHFxoVOnTgCULFmSFi1aEBMTw5gxYwxmUnr48CFff/01QIpC6S+yt7fH0tKS58+fG8y8BbBv3z598iIzRbyzS5EiRWjSpAnXr19n9erVJCcnv3J4YnYrWbIkT5484ddffzWoC6TRaPjzzz8BDHrK6YZDvZhc1PX88ff35/79+wbHWL9+PZs2bQLSrkfzKm3btsXNzY39+/ezYsUKg6TL1atX+fHHH/nnn3/0iT4XFxfatWvH8+fPmTBhgsFj//vvv3PmzJkMnX/QoEGUKVOG06dPM2jQIB48eGCwPiYmhkmTJrF//36sra31PZzgv+vy8s37uXPn+Pbbb/W/p/b8nDNnjsG1vH//PjNnzgS0M8K9ePyMXPe2bdvi4uLCgQMH9L35dPvMmzePkJAQmjZt+srioLoZ2VIrag7/ze63du1a/WyAGTF9+nTc3d3Zt28fvXr1SrX4/b179xg1apT+mqR3Zsa6detSqVIlAgMD+fbbbw3qlVy/fl2fcHz5dUeX4NAlo15OVAFs3boVKysrGjZsaLCv7nqllpDPKrreObrk6Is2bdrE7t27sbW1ZcWKFVSpUuWVx7K1taVLly76Hnu656dGo2H27Nk8evSIVq1aGSRLPvzwQ8zMzPjxxx8NnosXL15k5cqV2NjYGHyYUKtWLTw9PTl//jy///67fnlMTAzjx49Ho9HQr1+/TF2LnGz3lClT8Pf3p0KFCqxYsSJFL8iX/e9//wNg48aNBslolUrFlClTePLkCQ0bNtQnlF9069YtEhISqFy5ssEMkUIIIUyTDP0TQggjKl++PPPnz2f06NFs3LiRbdu2UaVKFYoUKUJCQgLXr18nNDSUwoULs2jRIoNiv1OnTiUgIIBDhw7h7e1N7dq1iY+P5+zZs6hUKtq3b0+fPn3SPLeNjQ09evRg9erV9O7dmzp16uhrA/n7++Pu7k5ERATR0dEmNZ13t27dOHz4MMuXL8fOzo62bdsaLZYWLVrQqlUr9u/fT6tWrahZsyYFChTgzp07BAQE4OrqyvDhw/Xb63oLbN68mWfPntGsWTM++OADvL29OXToEJ06daJu3bpYW1tz8+ZNnjx5QoUKFbh7926atV9exdbWlp9++omBAwcyc+ZM1qxZg6enJ5GRkVy8eBGNRkOvXr0MCtF/9dVX/PPPP+zZs4dLly5RvXp1Hj58yM2bN/XFvtPLxsaGtWvXMnDgQE6cOEHr1q319c9iY2O5ePEicXFxODo6Mm/ePH1vKoC+ffsyY8YMxo0bx8aNG3F1deXBgwfcunULR0dH/XCpkJCQFEWwzc3N6dixIw0aNECj0XD69GlUKhVDhw7VJ0ZKlSqV4eteoEAB5syZw5AhQxg7diyrVq2iRIkS3L59m4CAAIoWLWqQREtNmTJlOH78ON9++y27du1KMYypdu3alC1bFn9/f5o3b57uJJJOoUKF2LJlC+PHj+fw4cN06tSJ0qVLU7ZsWSwsLAgICNAPzypYsCD9+/dPURg7LQqFgrlz59K7d282bNjAkSNHqF69OpGRkZw/f56kpCQGDhzIu+++a7Bf6dKlKVOmDAEBAVhZWRm0t379+oC2TlSTJk30Rbl1SpQogbm5OXfu3KF37954enoyfvz4DF2T12nevDlTp05NUWw+OTlZPyTVzc2NpUuXpnmMQYMGUbFiRQBGjhzJ6dOn2b17N1euXKFKlSr4+flx//593N3d9R8k6FSrVo2BAweyaNEiOnXqRIMGDVCpVJw5c4bk5GRmz55t8DwwMzNjxowZ+Pj4MH36dLZv306JEiU4f/48YWFhNGvWTD9DbGbkRLvv3bunnyXTwcGByZMnp3mO77//HjMzM2rVqsXw4cOZP38+AwcOpEaNGhQpUoTLly8TFBRE2bJlmT17dqrH0D22GSnUL4QQwngkUSWEEEbWpEkT9u7dy/r16zl58iSBgYFcv34dW1tbSpUqRc+ePfHx8UlRb8bFxYWNGzeycuVK9uzZw7Fjx7C1tcXLy4sePXqkK4Hz1VdfUbZsWTZu3MjVq1exsrLC3d2dwYMH079/f8aOHcvhw4c5evQorVu3zq5LkCHNmjWjcOHChIaG0qFDh3TN1JVddDfuK1euZPfu3Vy8eJGkpCSKFStGr169GDx4sMENZsuWLenTpw87duzg2LFj2Nvb88EHHzBv3jyWLVvGrl27OHfuHAULFsTd3Z0PP/yQ3r17061bN+7cucP169df27PhZTVr1mT79u0sWbKE48ePc+zYMRwdHalXrx4+Pj4pZkt0dnZm3bp1LF68mD179nD48GFKlizJtGnTsLKyylCiCrQ10jZs2MD27dv5+++/+eeff/jnn3+wsrKidOnSNGvWDB8fnxQJmT59+uDq6srKlSv1xemLFSuGj48Pn3zyCUuWLGH16tUcPnyYsmXLGuw7f/58tmzZwr59+1CpVFSvXp2+ffumGOKXmeveoEEDtm7dyqJFi/D19eX27du4uLjQvXt3hg8f/trE0tChQ3n8+DGnT5/m+PHjvPPOOynq7dSsWRN/f/9M1xZydnZm0aJF+sLsFy5c4PLly8TFxeHs7EyzZs1o3LgxnTp1yvDfT9myZfnjjz9YsmQJBw8e5NChQzg4ONC4cWN69erFO++8k+p+zZo1Y+XKldSoUcOgR0upUqVwd3fn8ePHNGvWLMV+Li4uTJ8+nQULFnDhwgWePHmS5YmqokWL0qhRI44dO8b9+/cpV64coO1tpxsOGBgYSGBgYJrH6NKliz5hY29vz/r161m4cCH79u3j8OHDFClShJ49ezJ06NBUC4qPGjWK8uXLs3r1as6cOYONjQ316tVj8ODBBj3QdCpXrsyWLVuYP38+vr6+3Lt3j1KlStG/f398fHwyNPHBy3Ki3WfPntX38Lx48SIXL15M8xwzZ87UDyX99NNPqVq1KitXruTatWvcvHkTd3d3hgwZwieffEKBAgVSPcbff/+NpaVlqrMBCiGEMD0KTWaKXgghhBBCmBhvb28eP37Mvn37KF26tLHDyRSVSkWTJk2wsLDgyJEjb5RwEOl3+fJlunfvTt++ffnyyy+NHY7IQnfu3KF9+/b06NGDKVOmGDscIYQQ6SA1qoQQQgghjCg5ORmVSoVareaHH34gIiKCHj16SJIqB9WoUYOmTZvyxx9/pDqRgMi91qxZg5WVFYMHDzZ2KEIIIdJJElVCCCGEEEaUmJiIl5cXXl5erFq1iiJFiuiLvoucM3HiRNRqNYsXLzZ2KCKL3L17l61bt/LZZ59RrFgxY4cjhBAinSRRJYQQQghhRFZWVlSrVg1zc3O8vLxYunQp9vb2xg4r3ylZsiQTJ05kxYoVPH782NjhiCwwc+ZMatas+cazIAohhMhZUqNKCCGEEEIIIYQQQpgE6VElhBBCCCGEEEIIIUyCJKqEEEIIIYQQQgghhEmQRJUQQgghTI5UJsh95DETQgghRFaQRJUQQgjxGmfOnMHT0zPNrypVqvDOO+/Qt29f9u3bl+3x+Pj44OnpyalTp7L9XGk5f/68vv1r167NsuMmJSWxdu1apk+fbrB827ZteHp68sUXX2TZubJCREQEK1eu5MMPP6RRo0b658LgwYM5cOCAUWNbs2YN7777LlWqVKF+/frs378fb29vPD09CQwM1G/3ps+ntB6z1IwYMQJPT09at26NUql85bbXr1+nUqVKvPXWW5w+fTpTsQkhhBAi97EwdgBCCCFEbmFnZ0eLFi1SLI+KiuLevXucOnWKU6dOMWrUKAYPHmyECHPO1q1bUSgUWFpasmHDBj766KMsOe5ff/3F1KlTad++fZYcLzsdOHCA8ePHExUVhbOzMxUqVKBQoUI8fPiQw4cPc/jwYdq2bcvs2bOxsMjZf7l8fX359ttvMTc3p0GDBtjZ2VGuXLlsOVdGHrPJkydz9uxZAgIC+PnnnxkzZkyq26nVasaPH09SUhK9e/emfv36WR22EEIIIUyUJKqEEEKIdHJycuKHH35IdV1ycjIrV65k1qxZzJ8/n44dO1KsWLEcjjBnxMbG8vfff1O5cmVcXV05fPgw58+fp3bt2m987OTk5FSXt2rViurVq2Nvb//G58gKu3fvZtSoUVhbWzNlyhS6dOmClZWVfv3Vq1f57LPP2L17NzY2NsyYMSNH47t69SoAHTp0YObMma/cdtasWcTHx1O8ePFMnSutxyw1zs7OTJo0iVGjRrFixQratGlDlSpVUmz322+/cfv2bcqXL8/o0aMzFZcQQgghcicZ+ieEEEJkATMzM/r160fVqlVJTEzk+PHjxg4p2+zevZu4uDgaN25Mu3btANiwYUO2ntPe3p7y5cvj5uaWredJj6CgICZNmgTAwoUL6dGjh0GSCqBatWosXboUCwsLtm3bxj///JOjMapUKgCKFCny2m2LFy9O+fLlsbW1ze6wAGjbti2tW7cmKSmJ8ePHo1arDdbfuXOHRYsWYWFhwffff4+1tXWOxCWEEEII0yCJKiGEECIL6XqlREZGplh39epVRowYQYMGDahSpQotWrRgxowZhIeHp3qs69evM2zYMBo0aICXlxcDBgzIcMJDV3/odV8+Pj7pPua2bdsAaNq0KS1btqRgwYLs3bs3zXaANnGycuVKunTpgpeXFw0bNqRPnz6cOHHCINavvvoK0A4n8/T05Msvv9Sf88UaVWvXrsXT0zPNoWNXr17F09OTLl26GCz39/dn3LhxNG7cmCpVqtCkSRMmTJjA48eP093+LVu2EB0dTcuWLWnUqFGa25UvX54PPviA5s2bExoaarAuPj6eX375hfbt21OtWjVq1qxJz549+fPPP1McR9f2lStXcuXKFQYMGEDt2rXx8vKiZ8+eHDp0SL+trp7aggULAFi0aJHBdUxNWjWq3vQxe5VvvvkGR0dHbt++zeLFi/XLX0xeDRkyxKC3VVJSEuvXr+eDDz7Ay8sLLy8vunfvzh9//JFqIfeEhARWrFhBjx49qFu3LpUrV6Z+/fp88sknBm3Q8fT0pGPHjpw9e5b33nuPqlWr0rp1ax4+fAjAkSNH6N+/v/6507x5c7766ivu3bv32vYKIYQQIv1k6J8QQgiRRWJiYjh79iwAFStWNFj3xx9/MGHCBJKTk6lUqRJ16tTh1q1brFy5kv379/P7779TokQJ/fZHjx7l008/RaVSUaNGDYoUKcKFCxf48MMPcXR0THdMDRs2TFevmvLly6freP7+/ly8eJFSpUpRo0YNFAoFbdu2ZdOmTWzbto0BAwak2CcmJoZ+/fpx5coVChUqRIMGDYiPj+fs2bP4+voyZcoUevToQcOGDVGr1Vy6dIkSJUrokxGpef/995kxYwYHDx5EqVSm6HWzc+dOADp27KhfduLECT799FPi4+Px8PCgRo0aBAQEsGXLFg4cOMCyZctSHYb2sj179uhjeJ3JkyenWBYREYGPjw9+fn44OjrSuHFjEhISOHv2LBcuXODkyZPMnDkThUJhsN/p06eZPXs2rq6u1KtXj0ePHnHhwgUuXLjATz/9xHvvvUfhwoVp3749t2/f5s6dO3h4eODp6ZnmdUxLdjxmL3JxcWHixImMHj2a3377jQ4dOlCyZEl+//13rl27RtWqVQ3qvKnVaoYOHcqxY8coWLAgXl5eWFpacvbsWb788kvOnDljMMRRqVTi4+PD1atXcXNzo2bNmigUCm7fvs2xY8c4fvw4CxYsoGXLlgZxhYWFMWTIEIoVK0ajRo14/PgxJUqU4MCBAwwfPhxzc3Nq166Ng4MDfn5+bNu2jb1797Jp0yYqVKiQoWsshBBCiDRohBBCCPFKp0+f1nh4eGiaN2+eYl1SUpImMjJSc+rUKc0HH3yg8fDw0HTu3FmTmJio3+bu3buaypUra2rUqKE5deqUwb5z587VeHh4aHr06KFfHhMTo3nnnXc0Hh4emu3bt+uXx8bGavr376/x8PDQeHh4aE6ePJlNLU7b7NmzNR4eHpqFCxfql128eFHj4eGhadWqlSY5OTnFPt9++63Gw8ND06tXL83z58/1y69cuaKpXr26pnLlypqwsDCNRqPRbN26VePh4aEZPXq0wTFSWz5s2DCNh4eH5u+//zbYNikpSdOoUSNNpUqVNKGhoRqNRqMJCwvT1KlTR/P2229rdu7cabD9hg0bNB4eHpoWLVpolErlK9ufnJysqVy5ssbDw0Pz6NGjV26bFl3cgwYN0sTExOiXBwQEaFq0aKHx8PDQ/P777yna7uHhofn22281KpVKv27GjBn659yLfv75Z42Hh4dm7ty5BsubN2+u8fDw0AQEBOiXffzxxymeT1nxmGX0Wjx58kRTo0YNTbVq1TR379412O7HH3/UeHh4aD7++GP9eTUajSYkJETTqVMnjYeHh2bTpk365cuXL9d4eHhohg0bplGr1frliYmJmsmTJ2s8PDw0ffr0MTiH7hoPGjRIk5SUpNFoNPrvLVq00FSqVEnj5+en3z45OVkzbdo0jYeHh2b8+PEZbrsQQgghUidD/4QQQoh0evz4cYohc2+//TZ169alT58+XLlyhcaNG7NkyRLMzc31+/3++++o1Wo+/fRTGjRooF9uZmbGyJEj8fDw4OLFi1y+fBnQziYXEhJCixYtDHoE2dnZMWvWLCwtLXOszS9KSkpix44dmJmZ0alTJ/1yLy8vypUrR2BgYKrDx7Zu3aqvN/RiMfRq1arx4YcfUrFiRe7cuZPheHTXZteuXQbLz5w5Q3BwMI0aNcLFxQXQDteLioqiR48eKXpCde/enWbNmvHw4UP279//ynNGREToayoVLlw4wzE/fvyY/fv3U7BgQWbPnk2BAgX060qXLs306dMBWLp0aYp9nZ2dGTdunMHj36tXLwD8/PwyHEtasvMxe9nkyZNxdHTk8OHDfPLJJ8TFxTF69GiDHn4qlYrVq1djaWnJDz/8gLOzs35d4cKFmTp1KgDLli3TL7e0tKRp06Z8/vnnBjMumpub0717dwAePXqUaky9evXCzEz7L7Lue0hICBYWFvrnE4BCoWDw4MFMnDiRzp07v+mlEEIIIcS/JFElhBBCpJOdnR3t27enffv2tGvXzmCWu7Zt27Jnzx6WLl1qcDML2iFbgEGSSkehUNC4cWMA/bDBc+fOAdoaUC9zcXGhZs2aWdOgDDp+/DjBwcE0bNgwxYyGulpQLxdVv3btGnFxcVSuXDnVIYjjxo3jjz/+oH79+hmOp2nTpjg6OnL06FFiY2P1y3WJqxeTfGfOnAFSfwwAmjRpYrBdWl5MQCYmJmY4Zt1j+84776Q6g2G9evVwdXXl2bNnPHjwwGBdlSpVUiQpdcXlVSpVhmbfe5XsfMxeVrhwYSZMmABok20NGjRIUS/txo0bREdHU65cuVTjqVq1Ki4uLvj7+xMSEgLAxx9/zOLFiylXrpx+u/j4eK5evapPRuoKzr/Mw8MjxbI6deqQkJBA586dWbBgAVevXiU5ORkXFxc+/vjjLJnxUgghhBBaUqNKCCGESCcnJyd++OEHg2UXLlxg4MCB7N69m7fffpuBAwem2O/Zs2cAr+118fTpUwCCg4MBKFq0aKrblShR4rUJFR0fHx99AuxV6taty+rVq1+5zdatWwFtnaqXkwkxMTEAHDp0iKCgIH1CQZc4eDmxlRWsrKxo27Yt69at4+DBg3To0AGVSsW+ffsoWLAg3t7e+m111/bTTz995TF1j1VaChUqhLW1NUqlkvDwcIMeUemhe2zd3d3T3Mbd3Z2QkBCCg4MpVaqUfrmDg0OKbV/sLZScnKzvAfQmsvMxS02HDh344YcfCAoKYuDAgSlqc+keu9u3b+Pp6fnKYz19+hRXV1cAQkNDWb9+PWfOnCEgIIDQ0FA0Go3++JpUCrBD6td52rRpfPrpp1y7do358+czf/58HB0dadq0Kd26daNu3boZbrcQQgghUieJKiGEEOIN1KpVi1mzZjFs2DDmzJlDiRIlaNu2rcE2SUlJgLb49qsSCW+99RZAihv1l72YnHidrCqmHh4ezuHDhwHt8LW0ZslLTExk8+bN+oSQru3ZpWPHjqxbt47du3fToUMHjh8/TlRUFN26dcPGxka/nS6O5s2bU7BgwTSPl56C2JUqVeLSpUtcuXKFkiVLvnLby5cvc+rUKRo1akS1atX0y1/1GOsSKFZWVgbLX/e8yCrZ/ZilRvecfrHHmo6up1jx4sWpVavWK4+jSxyeOXOGwYMHExcXR7FixahevTrly5enUqVKuLu7061btzSPkdrfaNGiRdmyZQsXLlzgwIEDnDp1itu3b7Njxw527NjBJ598op+RUgghhBBvRhJVQgghxBtq2bIlXbt2ZevWrUyePJk6deroe3WAdnjW48eP+eyzzyhduvRrj6dLLKVVQ0fXKyc9hgwZku5tX+XPP/9ErVbTrl075syZk+o2e/bsYeTIkWzevJkhQ4Zgbm6uvw5BQUGp7uPv78+FCxeoVq1aqkOuXqdGjRqUKVOGEydOEBMTw+7duwHDYX+gfQwCAgLo1asXDRs2zPB5XtSiRQsuXbrE3r17adeu3Su3Xbt2LX/++Sc3b95kwYIF+qF6aT22AA8fPgQyVwMrK2T3Y5bZeIoWLZqiR2NqNBoNEyZMIC4ujm+++YaePXsarL9582amY6lVq5Y+WRYWFsbWrVuZN28ey5Ytw8fHJ11JYSGEEEK8mtSoEkIIIbLAl19+iaurK1FRUcycOdNgXZ06dQA4evRoqvuOHTuW//3vfxw6dAhAn0g5cOBAim1jYmL0dY5ykm7Y38uFyF/UokULHBwcePbsGUeOHAGgcuXKWFtbc/36dcLDw1Pss2XLFiZMmKAfnpiZXkMdO3ZErVazf/9+Dh06hLu7u/6a67zuMZgzZw5dunRh8+bNrz1f165dcXR0ZN++ffj6+qa53ZUrV/j7778B+OijjwBtokOhUHDy5En9cMkXnT59mvDwcEqUKEHx4sVfG0t2yInHLCOqVq2KjY0N//zzT6pJ2qCgINq0aUPfvn2JjY0lNDSUhw8f4uDgkCJJBXDixAmAdNf0un//Pu3bt2fAgAEGy11cXBg4cCCenp4kJyenmdgTQgghRMZIokoIIYTIAg4ODowbNw6AnTt3GiQwfHx8MDc356effkqR2NiwYQM7duzg1q1b+qFh3t7elC5dmlOnTrFy5Ur9tiqVikmTJqWa4MhO165d486dOzg6OuoLv6fGysqKNm3aALB+/XpAOxSrS5cuqNVqJkyYQEJCgsFx165di62tLa1atQLA2toaIENt7NChAwqFgh9//JG4uDjat2+fInnSvXt37OzsWLNmTYpZAg8fPsyKFSu4ceMGVapUee35nJ2dGTNmDKDtsbZ161b9TIA6Z86cYdiwYahUKtq1a6cv4l6yZElatGhBTEwMY8aMIS4uTr/Pw4cP+frrrwFtMXBjyYnHLCPs7Oz43//+R1xcHGPGjCEsLEy/LjY2lq+++or79+9jZ2dHgQIFsLe3x9LSkufPn6dI6u7bt4+FCxcCaRdTf1np0qUJDQ3lxIkT+sSjzvXr17l37x4FChQwKNwuhBBCiMyToX9CCCFEFmnfvj1bt27F19eXyZMn89dff2FlZUWVKlUYP34806ZNo0+fPlSqVIkSJUrg7++Pn58f5ubmzJ49Wz/Uy8rKitmzZzNgwABmzJjB9u3bKVWqFFevXiUsLIzKlStz48aNHGuXrjfVu+++m2LWuZd16tSJjRs3cvLkSR4+fEjJkiUZM2YM169f59ChQ3h7e1OrVi0iIyO5cOECycnJzJ49Wz9kSjc08siRIwwaNAgvLy8GDx78ynOWKFGC2rVr65MSLw/7A+1wylmzZvH555/z+eef88svv1CuXDmePn3K9evXAfjqq694++2303VNunXrRmJiIlOnTmX8+PHMnTuXt956iwIFCnDv3j3u3r0LQJs2bfjuu+8M9p06dSoBAQH661G7dm3i4+M5e/YsKpWK9u3b06dPn3TFkV2y+zHLqNGjR3Pr1i1Onz5Nq1atqFq1Kra2tly6dInIyEjKlCnDlClTALCxsaFHjx6sXr2a3r17U6dOHRwcHPDz88Pf3x93d3ciIiKIjo4mISHBoJZZaszNzZk6dSrDhw/ns88+o3LlypQoUYKIiAguXLhAUlISEydOfGXtMyGEEEKkn/SoEkIIIbLQN998g5WVFQEBASxZskS//OOPP2bt2rW0atWKZ8+ecfjwYeLi4mjTpg1btmzhvffeMzhO9erV2bRpEx06dCA0NJSjR49SvHhxVqxYke5kSlZQKpX6Hkivq8cEULNmTcqUKUNycjKbNm0CtD101qxZw6hRo3B2dubIkSNcv36dunXrsnz5ctq3b6/fv3LlyowePRpXV1dOnjzJqVOn0hWnLjlVtWrVNHu2vPvuu2zdupUOHToQHR3NkSNHCA0NpVmzZvz+++8ZTg716NGD7du307NnTxwdHblw4QIHDx4kKiqKli1bsnjxYn788Ud9jyMdFxcXNm7cyPDhw3FxceHYsWNcv34dLy8v5s2bxw8//JBjhdPTkhOPWUbY2NiwfPlyJkyYQLly5bh69SpnzpzBzc2N4cOHs3nzZoOaXl999RWTJk2iQoUKXL16lbNnz2JnZ8fgwYPZvn079erVIzk5Oc2hoC9r1aoVy5Yto0mTJjx58oSDBw9y9+5dmjRpwu+//87//ve/LG+zEEIIkV8pNGnNzSuEEEIIIYQQQgghRA6SHlVCCCGEEEIIIYQQwiRIokoIIYQQQgghhBBCmARJVAkhhBBCCCGEEEIIkyCJKiGEEEIIIYQQQghhEiRRJYQQQgghhBBCCCFMgiSqhBBCCCGEEEIIIYRJkESVEEIIIYQQQgghhDAJkqgSQgghhBBCCCGEECZBElVCCCGEEEIIIYQQwiRIokoIIYQQQgghhBBCmARJVAkhhBBCCCGEEEIIkyCJKiGEEEIIIYQQQghhEiRRJYQQQgghhBBCCCFMgiSqhBBCCCGEEEIIIYRJkESVELmYRqMxdghCCJEvyeuvEEIIIUT2kESVyBPGjh2Lp6cnixcvTrEuJiaGIUOGUL16derUqUNAQEC6junt7c2XX36ZxZGm7tGjR3h6erJt27Z07/Prr7+ybNmybIxKCCHyly+//BJPT880v+rVqwfAhQsXGDRokH6/9L6GZ9f7ypdffom3t3eWH1cIIUTWmT9/Pp6ensYOQ4hcwcLYAQjxpmJiYti3bx8eHh5s2rSJTz75BIVCoV+/fft2Dh06xKRJk6hYsSIlSpQwYrSpc3NzY+PGjZQqVSrd+/z44498+umn2RiVEELkP66urixYsCDVdRYW2n+bNm/ezN27dzN87AULFlCwYME3ii81Q4cOpVevXll+XCGEEEIIY5BElcj1du3aRVJSEl9//TW9evXixIkTNG7cWL8+MjISgJ49exoksEyJlZUVNWrUMHYYQgiR72Xn63GlSpWy5bgZ+ZBDCCGEEMLUydA/kett3bqVevXqUa9ePcqWLcuGDRv063x8fJg/fz4Ab731ln7IRXBwMKNGjaJu3brUqVOHSZMmMW/evBRDJ9RqNd9//z3vvPMONWrUoF+/fgQGBhpss3nzZrp06UKNGjWoVq0aHTt2ZPfu3fr127Zto1KlSly5coXu3btTtWpVmjVrxpIlS/TbvDxsJDk5mZ9++glvb2+qVKmCt7c3c+fORa1WA+i7DS9YsMCgC/GBAwfo2bMnXl5eVKlShffee481a9bo1585cwZPT098fX3p168f1atXp2HDhsyaNYvExMTMPwhCCJFPfPnll/zxxx88fvw4xXC/kJAQRowYgZeXF3Xr1mXixInExcXp17889C86OpoZM2bQsmVLqlatSrt27diyZYvB+by9vZk3bx4zZsygbt261K1blzFjxhAREWEQ04vvXwkJCcyZM4d3332XKlWqULNmTfr27cutW7ey45IIIYTIIN39webNm2nUqBFNmjTBz8+PpKQkFi9eTLt27ahWrRo1atSgR48e+Pr6Gux/+vRpunfvTvXq1Xnvvfc4ePAgrVq10t/3CJHbSaJK5Gr37t3jypUrdO7cGYAuXbpw+PBhgoKCAPjmm2/o1q0bABs3bmTo0KGoVCp69+7NxYsXGT9+PDNmzOCff/5h+fLlKY6/e/du/Pz8mDlzJpMmTeLatWuMGjVKv37t2rVMmjSJFi1a8NtvvzF79mwsLS0ZM2YMT5480W+XnJzMyJEjadu2LYsXL6ZWrVr88MMPHD9+PNV2LVmyhLVr1zJs2DCWL1/Ohx9+yNKlS1m0aJG+LQDdunXT/3zkyBGGDRtG5cqVWbhwIfPnz8fd3Z1vv/2WixcvGhz/iy++oFatWixatIj27duzfPnyFDdHQgiRXyUmJqb6pdFoGDp0KE2bNsXV1ZWNGzfSrFkz/X4//fQTxYoVY+HChfTq1YtNmzaledOQkJBAz549+fPPP+nXrx8LFy6kVq1aTJgwQf9ar7Nu3TouXLjAd999xxdffMGxY8cYMGAAycnJqR577NixbNmyhYEDB7J8+XK+/PJL7ty5w6hRo6QIvBBCmIikpCQWLVrEtGnTGDlyJBUqVOCHH37gl19+oXv37ixdupSpU6cSERHBZ599pv/g48aNGwwYMIACBQrw008/8fHHHzN+/HhCQ0ON3CIhso4M/RO52pYtW3BwcKBly5YAdOrUiR9//JHNmzfz6aefUqFCBYoWLQqgH8qxZcsW7t+/z9atW6lSpQoA9evX1x/jRUWKFGHhwoVYWloCEBgYyKJFi4iJiaFgwYI8fPiQfv36MWzYMP0+JUqUoEuXLly8eJHixYsD6G9uPvjgAwBq1arF/v37OXLkiMEwRZ2zZ89SuXJlunbtCkDdunWxtbXV1zbRtaVo0aL6n+/evUunTp2YMGGC/jheXl7Uq1ePc+fOUbNmTf3yDz74QB9zgwYNOHDgAEeOHKFHjx7pvfRCCJEnPX78mMqVK6e67rPPPmPo0KE4OzsbDBHU3Ty0bt2ar776CtC+tp48eZLTp0+neqxt27Zx584d1q1bR61atQBo3LgxiYmJLFy4kB49euDo6AiAQqFgxYoV2NvbA+Ds7MywYcM4duyYQaIMQKVSERsby8SJE2nbti2gfQ+JjY1l5syZhISE4ObmlunrI4QQIusMHjzY4HVcN+rDx8dHv8zGxobhw4dz+/ZtvLy8+O2333B2dmbRokVYWVkB4ODgwJgxY3I6fCGyjSSqRK6VmJjIn3/+ScuWLVEqlSiVSmxsbKhXrx6bN29myJAhmJubp9jv9OnTlCxZUp+kAihYsCDNmzfnzJkzBttWq1ZNn6QCKFmyJADPnz+nYMGC+iEc0dHRBAQEEBAQoO+aqxump+Pl5aX/2crKCmdnZ4MhIS+qV68ec+bMoWfPnrRq1YomTZrw8ccfv/J6DBgwANDeMD148AB/f3+uXbv22lhAm/BKKxYhhMhPXF1d+fXXX1NdV6RIkVfuW7t2bYPfS5YsyYULF1Ld9uzZs7i7u+uTVDodOnRgy5YtXLlyhaZNmwLQvHlzfZIKtMMBLS0tOX/+fIpElZWVlX5G2ODgYAIDA7l//z6HDx8GUr4fCCGEMB4PDw+D3+fMmQNAeHg4gYGB+Pv7c+jQIeC/1+/z58/TvHlzfZIKoG3btvoPSoTICyRRJXKtI0eOEBoayrZt21KdEvzw4cOp9pKKiIjAxcUlxfLChQunWGZnZ2fwu5mZdrSsbrjFgwcPmDRpEqdPn8bCwoJy5crpa0a9PLzCxsYmxbHSGoKh6867detWZs2axcyZM/Hw8GD8+PE0aNAg1X3Cw8P55ptvOHDgAAqFgtKlS+tvgN4kFiGEyE+srKyoWrVqpva1tbU1+P1Vr61RUVGpvu/olj1//ly/7OUeUGZmZjg6Ohps86Ljx4/z3Xffcf/+fQoUKICnpycFChQAUr4fCCGEMJ6X70muXbvGlClTuHbtGjY2NlSoUAF3d3fgv9fvqKgonJ2dDfazsLBI9f5GiNxKElUi19qyZQvu7u7MmDEjxboRI0awYcOGNIfzvVwQHSAsLCxD509OTmbgwIFYWlqyadMmKlWqhIWFBXfv3uXPP//M0LFeZmZmxkcffcRHH31EWFgYR48eZdGiRQwfPpxTp04ZfIKi88UXX3Dv3j1WrFhBzZo1sbKyIj4+ns2bN79RLEIIIbJeoUKFUn0vCgkJAcDJyUm/TDd7rU5SUhIREREpblRA+wHKsGHD9LUTdTMCrl27Ns26iEIIIYwvJiaGAQMG4Onpyc6dOylfvjxmZmYcPXqUvXv36rdzcnJKtR5VVFRUToYrRLaSYuoiVwoNDeX48eO8//77+hn/Xvxq27YtJ0+e5OHDhyn2rVu3Lg8fPjSY/UipVHLs2LEMxRAREYG/vz/dunWjWrVqWFho876646RV5DY9evTowbRp0wDtJy1dunTho48+Ijo6mpiYGOC/3l06Fy5coHXr1tSvX1+fyMqKWIQQQhh6+fU3M+rUqcPjx49TDA38888/sbS0pFq1avplx48fR6VS6X8/ePAgiYmJqfawvX79OkqlkkGDBumTVLpjgPSoEkIIU3X//n0iIyPp1asXFStW1L/XvPz/fIMGDThy5IhB2Y5Tp06RkJCQ80ELkU2kR5XIlf744w8SExN5//33U13fuXNn1q1bx6ZNm1L0PmrXrh2LFy9m2LBhfPbZZzg4OLB8+XLCwsL0xc/Tw8XFBXd3d9auXUvRokVxcHDgxIkTrFq1CoD4+PhMt69OnTosX76cwoUL4+XlRVBQECtWrKBu3br6T9AdHBy4dOkS586do3bt2lSrVo2//vqLypUrU7RoUS5dusRvv/2GQqF4o1iEECI/UalUXL58Oc31Hh4eODg4EBoaytGjR3n77bczdZ4uXbqwbt06Pv30U0aMGEHJkiU5dOgQW7du5dNPP8XBwUG/7bNnzxgyZAi9evXi6dOnzJ07l0aNGlGvXr0Ux61cuTIWFhbMnj2bfv36oVKp2LZtG0eOHAGQeoRCCGGiypYtS8GCBVm0aBEWFhZYWFiwd+9e/czcuv/nhw0bxqFDh+jXrx+ffPIJUVFRzJ0715ihC5HlpEeVyJX++OMPKlasyFtvvZXq+mrVqlGuXDm2bt2aonCshYUFy5Yto1KlSkyePJmxY8fi4eFBq1atUtSkep2FCxdSpEgRvvzyS0aOHMnly5f59ddfKVeuHOfPn890+z777DMGDx7M1q1bGTBgADNnzqRRo0b8/PPP+m0GDx7MtWvX+OSTT3j69CkzZ86kevXqfPvttwwbNowDBw4wZcoUGjVq9EaxCCFEfhISEkL37t3T/Lp37x5dunTB3d2dYcOGsX379kydx9bWltWrV+Pt7c3PP//MkCFDuHDhAtOnT2f48OEG277//vuUKlWKkSNHMn/+fDp37swvv/yS6nFLly7NnDlzCAoKYsiQIUyaNAmA1atXo1Ao5P1ACCFMlL29PQsXLkSj0fDZZ58xduxYnjx5wpo1ayhQoID+9btMmTKsXbsWa2trRo0axS+//MK4ceOMHL0QWUuhkT7gIp/x8/Pj/v37vPvuuygUCv3yrl27UqxYMRYsWGDE6IQQQoj/eHt7U7duXWbOnGnsUIQQQpgwT09PPv300xQfdgiRG8nQP5HvxMXF8dlnn9GzZ09atWpFUlISO3fu5MaNG4wZM8bY4QkhhBBCCCGEEPmWJKpEvlO9enV+/PFHli1bxvbt29FoNFSqVImlS5dSv359Y4cnhBBCCCGEEELkWzL0TwghhBBCCCGEEEKYBCmmLoQQQgghhBBCCCFMgiSqhBBCCCGEEEIIIYRJkESVEEIIIYQQQgghhDAJ+S5Rdfv2bW7fvm3sMIQQQpggeY8QQgiRGnl/EEKInJPvZv1TqVSoVCqUSiXW1tav3yE+HnbsgIiI7A8uG6kTE3ny5AnFixfH0iJ/Pez5te35td2Qg213coKOHcHWNvvOkQHpfl0Tacrwe0QeoVQquX79OlWqVMlX7Yb82/b82m4AZWQkjxYupJS9vWm9P2bze0p+e13Laib7/pAD9yr59X/K/NpuMOG258DrZL59bzSx1zYTetblrKSkpPRtqFJpX/htbcHGJnuDykbJSiVJ0dEkOziACT0Bc0J+bXt+bTfkUNsTErSvDSqVySSq0v26Jl4rv11LXXvzW7sh/7Y9v7YbICk+HovoaJJdXKBQIWOHo5UD7yl5+bH29/enS5cuTJw4kS5dugBw69Ytpk+fzvXr13F0dMTHx4f+/fu/8blM7jrmwL1Kfv2fMr+2G0y07Tn4Omlyf+c5wNTanG8TVRlmYwMFChg7isyzsCDZ1lbbBlN5sckp+bXt+bXdkHNtj4/PvmMLIYTIXqb2v528p2SKWq3miy++IC4uTr8sIiKCvn370rJlS6ZMmcLly5eZMmUKjo6OdO3a1YjRZqPsfD7n1/8p82u7wXTbLq+T+YYkqoQQQgghhBC50vz58ynwUoJm06ZNWFlZMXnyZCwsLChfvjyBgYEsWbIk7yaqhBAiD8l3xdSFEEIIIYQQud+5c+fYuHEjs2bNMlh+/vx56tSpg8ULtXXq16+Pv78/YWFhOR2mEEKIDJIeVUIIIYQQQohc5fnz54wdO5avv/6aYsWKGax79uwZHh4eBsvc3NwAePLkCS4uLpk+b7ypDT2Ki8NcpQKlErKp6LVSqTT4nl/k13aDibZdqQSViqS4OLC0zJZT6P6+Te7vPAfEx8djZ2dn7DD0JFElhBBCCCGEyFUmT55MjRo1aN++fYp1CQkJWFlZGSzTzWb1pjfeAQEBb7R/VjOLicH52TOSYmO1NYWyUXBwcLYe31Tl13aDabXdLD4e8+howu/cIblgwWw9l6n9neeUN0niZzVJVAkhhBBCCCFyje3bt3P+/Hn++uuvVNfb2NigUqkMlukSVG/aY6BMmTLYmshsvwBERWF++TI4OmZbMXWlUklwcDBubm4mNX19dsuv7QYTbXtsLERG4urhkW0ztsbHxxMQEGB6f+c5wNR6kUmiSgghhBBCCJFrbN26lbCwMJo1a2aw/JtvvmHZsmUUL148RU8Q3e9FihR5o3Pb2tqa1PAY1GqwstLOzJbNCQVra2vTSVrkoPzabjCxticmap/rdnbar2xkcn/n+ZAkqoQQQgghhBC5xg8//EBCQoLBsnfffZcRI0bQtm1bdu3axYYNG0hKSsLc3BwAX19fypYta1JDW4QQQqROZv0TQgghhBBC5BpFihShdOnSBl+gra/i7u5O165diYmJYcKECdy9e5dt27axatUqBg0aZOTIhRBCpIckqoQQQgghhBB5houLC0uXLsXf35/OnTuzYMECxo4dS+fOnY0dmhBCiHSQoX9CCCGEEELkIsnJ8OwZFCsGCoWxozENt2/fNvi9WrVqbNy40UjRCCGEeBOSqBJCmLyEBG39xPRSKiEuzoyYGG2N0WwRB4o4UEUCydl0DrR1UaWWoxBCCIDHj2HlSli+HO7f1/7cu7exoxJCCJER8fHa+5vs5uAA/5bpy3UkUSWEMHn+/vD8efq3V6sVhIba8Py5AkvL7InJPAEsY+HxKUjMntmgASheHGrXzr7jCyGEMG1qNezcCcuWwZ492t5UoJ2dvXx548YmhBAiYxIS4Px5iIjI3vNYWUGNGlC0aPaeJ7tIokoIYdISE7U9pGxtwcYmffuoVBpUqiQcHTVYWWVPXGbx2k8oEotAUsHsOUdERMZ6kgkhhMg7bt/WJqdWrYLg4P+WN2kC/ftDt27S41YIIXITjQb8/CAkBNzds3fo9pMn2vPlVpKoEkKYNLUakpK0nwqYpXP6BzMz7Qu/mVn698ko3bHNzIFc2qVWCCGEaYmNhc1/aBNUJ078t7xIEejTB/r1Aw8Po4UnhBDiDTx7ph0p4uYGFpKJeSW5PEIIk6ZWa7/sHYwdiRBCiPwoMNiWc36O2XqO5Hglhy5WZd04B6KjtcvMzKBtWxgwQPs9u4ayCyGEyH5xcdqeslZW2pEi4tUkUSWEMGmJidpuq2Yyq5EQQogcduSaC22m1CNBlXNdZ8uX1/ac6t1bOzRECCFE7qbRwN27EB4OpUoZO5rcQRJVQgiTplbL1NtCCCFy3pnbjrSfVpcElTke7jEUKaTMvpMlJ1G2UAR9JrjT9P2C2TZsXQghRM578kQ75K9IEbmvSS9JVAkhTJpSKS/oQgghctYVfwfem1yPmHgLWlQPYefEs9hYJWffCWNjtTNoNOkJkqQSQog8IzZWO+TPxib9E0MJeSsUQpi4BKUUGxRCCJFz/nlUkFaT6hMZa0XDt8LZPv5c9iaphBBC5EnJydpZ/qKiwMXF2NHkLpKoEkKYLI0GlAmSqBJCCJEz/J/Z0nJifUKirPEqF8WuSWcoaJtk7LCEEELkQo8fQ0CADPnLDElUCSFMVmKi9ss852rYCiGEyKceh9nQYmIDHofZUqlkNPumnsaxYKKxwxJCCJELRUfDnTtgZwfW1saOJvcxeqIqLCyMMWPGUL9+fby8vBg4cCB3797Vr7916xYff/wxNWrUoFmzZixbtsyI0QohcpJarU1USY8qIYQQ2Sk40oqWE+vjH1SA8kVj2T/Vl8IOKmOHJYQQIhdKStIO+YuOBmdnY0eTOxk9UTVkyBAePnzIkiVL2LJlCzY2NvTp04f4+HgiIiLo27cvZcqUYevWrQwfPpyffvqJrVu3GjtsIUQOUKu1L/TSo0oIIUR2iYixpPU39fnnkT0lCsdzcJovxV2ycYY/IYQQedqjR/DggQz5exNG7acQERFBiRIlGDJkCBUrVgRg6NChdOzYET8/P3x9fbGysmLy5MlYWFhQvnx5AgMDWbJkCV27djVm6EKIHJD474gLeYEXQgiRHaLjzGk7pS6X/QtRxDGBg9/6Utot3thhCSGEyKWeP9cO+StYEKysjB1N7mXUHlVOTk7MnTtXn6QKDQ1l2bJlFC1alAoVKnD+/Hnq1KmDxQvjfurXr4+/vz9hYWHGClsIkUPUamNHIIQQIq+KV5nTcXpdTt92xqmgiv1TT+PhHmvssIQQQuRSSUlw+zbExYGTk7Gjyd1MpvLLxIkT2bRpE1ZWVvz666/Y2dnx7NkzPDw8DLZzc3MD4MmTJ7i8wRyP8fHp/LQsLg5zlQqUylxdKEepVBp8z0/ya9vzQrujoyE5WYFKpcnQfup/M1zqbMx0mamVWKrVKBPiSbLIno9LlEqIj4e4uPS1Pz4+Hjs7u2yJRQgh8hJVkjkfLmjG4WuFsbdVs3fKaaqWiTZ2WEIIIXKxBw+0w/6KFTN2JLmfyWReevfuTffu3Vm/fj3Dhg1j3bp1JCQkYPVSfznrf0vmv+nNd0BAQLq2M4uJwfnZM5JiY0m2tX2jc5qC4OBgY4dgNPm17bm53YEPbEiIN0OpzNzU4OHhEVkc0X/MlfFYxz0nMPABajv7bDlHZKQ5BQsm4+CQ/k/43ySBb4oiIyOZO3cuR44cISYmBk9PT0aPHk3t2rUB7YQb06dP5/r16zg6OuLj40P//v2NHLUQwpQlJsKov/7H3/+UwNYqiZ0Tz1KnYpSxwxJCCJGLRUZqh/w5OIClpbGjyf1MJlFVoUIFAL799lsuX77MmjVrsLGxQaUynHFFl6B6014DZcqUwTY9iaeoKMwvXwZHRyhQ4I3OaUxKpZLg4GDc3Nz0yb78Ir+2Pbe3OylZ+4KvcISM5ojVajXh4RE4OzthmU3vFGYJsVhGW6IpXYqkgoWy5RxhYWBvD2+/nf4eVXnN559/TlhYGHPnzsXZ2Zl169bRv39/tm3bhrOzM3379qVly5ZMmTKFy5cvM2XKFBwdHaWOoRAiVcnJMPSLQuz6pxhWFkn8Mf4cTaqEGzssIYQQuVhionbIX0IClChh7GjyBqMmqsLCwvD19aVNmzaY/zutl5mZGeXLlyc4OJiiRYum6A2i+71IkSJvdG5bW9v0JbvUam0VNGtr7VcuZ21tnSuTFlkhv7Y9t7ZbqQQzM7CxyXwhQktLS6yssqftZkmJmFtaYm1jS7JN9vS2tLbWJuny62i+wMBATp48yfr166lZsyYAEyZM4NixY+zcuRMbGxuZcEMIkSErV8LaTXaYK5JYM+QorWtKTSohRN729wVXZm6tgDox/eWpkzXJqJQqrKytMFNkT1lrhQL6tnhA/3cfZsvxc1JgIDx5AsWLGzuSvMOoiarg4GBGjx6Ni4sLDRo0ALQ9IW7evIm3tzeFCxdmw4YNJCUl6RNZvr6+lC1bNs8NbxFCGFKrITEJ/v3TF/mQk5MTixcvpkqVKvplCoUCjUZDVFQU169fT3XCjd9++42wsDB5nxBCpHD6tPZ7/zon6VDrIeBs1HiEECK7fbPek7N3TLOyt3+QbYYSVcEhEHAWkgpmTzwJCQoCAgrw/LkCG5v07aPRaEeBODrm6pLWJseol/Ktt96iUaNGTJkyhWnTpuHg4MCiRYt4/vw5ffr0wdramqVLlzJhwgQGDBjA1atXWbVqFVOmTDFm2EKIHJCYCMmSqMrXHBwcaNq0qcGyPXv28ODBAxo1asS8efOMP+FGHqFrb35rN+TftufXdt+/bw2YU6FwMErdZDmmQKkElYqkuLhsK24iE24Ikf/ExJtz4a62RMXKzy5RqEBiuvZTq9WEhoZSuHDhbCmjERlrQd+fvAiKtCYpA//vx8XBs2dg7ZblIQHal+LYWDOio+GlCkSvZGurrU0lso5RE1UKhYIff/yROXPmMHLkSKKjo6lduzZr166l+L/95pYuXcr06dPp3Lkzrq6ujB07ls6dOxszbCFEDsjGCftELnXhwgXGjx9PixYt8Pb2ZsaMGUafcCOvya/thvzb9vzW7rt3KwPmlHCIIDQkhOSYGGOHBIBZfDzm0dGE37lDcsFs6ipA3ptwQwjxar7/OJGUbEZptzh6t3iU7v2USiUPHz6kZElVtpQQUScq6PdzDZKSzQiLtsLNMf1ZIVtbcC6c5SEB2hpTz58n4eJCuntUiexh9M5p9vb2TJ48mcmTJ6e6vlq1amzcuDFngxJCGJ0kqsSLDhw4wBdffEH16tWZO3cugGlMuJFHxMfHExAQkO/aDfm37fmx3RoNBAVpb7jcC0VS2NUVaycTGQ4TGwuRkbh6eECh7JmgI7/1nhNCwLEb2uR0k8phRo7EkKWFhsIOKkKirHkWYZ2hRJXIH4yeqBJCiNQolTLsT2itWbOG6dOn06pVK3744Qd9LyqTmHAjj8mv7Yb82/b81O6gIO2n5QqFhmIOUVhbmdCsuImJ2plD7Ozy7wwaQogs91+iyvRmNy3qqNQmqiJtqEa0scMRJiZ7SvgLIcQbio+XgoQC1q1bx7fffstHH33Ejz/+aDDUr06dOly4cIGkpCT9MplwQwiRlsBA7feiRZKxMk969cZCCJHLJajMOHPHETC9HlUAxZwTAHgWYSIfGAiTIokqIYTJSUrSDv2TRFX+5u/vz3fffUerVq0YNGgQYWFhhISEEBISQnR0NF27diUmJoYJEyZw9+5dtm3bxqpVqxg0aJCxQxdCmCBdoqqUuySp8oqwsDDGjBlD/fr18fLyYuDAgdy9e1e//quvvsLT09Pgq0mTJkaMWIicc87PEaXanCKOCVQsHmvscFIo6qgt1/BUElUiFXIbKIQwOWq1dhREPimbItKwd+9e1Go1+/fvZ//+/QbrOnfuzMyZM2XCDSFEuukSVSVLSKIqrxgyZAhmZmYsWbIEOzs7fvrpJ/r06cP+/fuxtbXl9u3bDB48mI8//li/j7nUFRD5xIvD/hQKIweTiqJO2kTVswipWi5SkkSVEMLk6BJV0qMqfxs8eDCDBw9+5TYy4YYQIr30PaokUZUnREREUKJECYYMGULFihUBGDp0KB07dsTPz4/KlStz9+5dhg4diqurq5GjFSLnHbvhDJjmsD94MVElPapESnIbKIQwOYmJ2tmZzGRwshBCiCyiS1SVLpkEkUYNRWQBJycn/SywAKGhoSxbtoyiRYtSoUIFAgICUCqVlC9f3ohRCmEciUkKTt4y8USV4781qiIlUSVSkkSVEMLkqNXGjkAIIUReYzD0L9KooYgsNnHiRDZt2oSVlRW//vordnZ23LlzB4VCwapVqzh27BhmZmY0bdqUkSNHYm9vn+lzxcfHZ2HkWSAuDnOVSjtdcjZ1RVcqlQbf84vc3O7zd52ITbDAsYCKikVDyWgTcqLtLvYxADwNt0rfeZRKEhPVKJXxJCRYvX77TEhIUBp8z82USgVxccnExaVv+/j4eJOaBVgSVUIIk6NSGTsCIYQQeY3B0L/rxo1FZK3evXvTvXt31q9fz7Bhw1i3bh1+fn6YmZnh7u7OokWLCAwMZNasWdy5c4dVq1Zhlslu2wEBAVkb/Bsyi4nB+dkzkmJjSc7m4p7BwcHZenxTlRvb/dcpNwBqlnnI48cPM32c7Gy7Jj4GaMqTMCsePnx9jGbx8YSGJvDo0RMiNRHZFhfA06dPs/X4OSEoyBJHx1giIxPTvY8pzZotiSohhMlJSJD6VEIIIbJOVJT2C7SJqnR+wCxyiQoVKgDw7bffcvnyZdasWcN3331Hnz59cHBwAMDDwwNXV1e6d+/OtWvXqF69eqbOVaZMGWxNabaXqCjML18GR0coUCBbTqFUKgkODsbNzQ1r6/wzTCs3t/v6E+3fRKuasZQsWTLD++dE2+2dLQGITrChsFtpbK2TX71DbCzJ4VGUKFEcpzKFsiWmhAQlT58+pVixYtjY5K7H/GWWlgoqVEimWLH0bW9qvUXlVlAIYVI0GklUCSGEyFq63lQuLlDATiOJqjwgLCwMX19f2rRpo5/Jz8zMjPLlyxMcHIxCodAnqXQ8PDwAePbsWaYTVba2tiY1PAa1GqyswNpa+5WNrK2tc13CJivktnYnJ8PJfwoD0KJG5BvFnp1td7MCa8sklGpzIuMdcHR4TaIkMRELC0usrW2xscneZLGNjXW2nyO7WVuDnZ32KzeSUsVCCJOSmCgz/gkhhMha+kLqpY0bh8g6wcHBjB49mrNnz+qXqdVqbt68Sfny5Rk9ejT9+/c32OfatWvAfz2whMiLrgfaExlrRQGbRLzKPTd2OGlSKGTmP5E2SVQJIUyK+t9E1b8fjgohhBBvTBJVec9bb71Fo0aNmDJlCufPn+fOnTuMGzeO58+f06dPH9q1a8fJkyf59ddfefDgAUePHmX8+PG0a9dOZgIUedqxG9o6Q++8HY6FucbI0bxaUcd/E1WRNkaORJga6bMghDApiep/E1Xy6iSEECKLSKIq71EoFPz444/MmTOHkSNHEh0dTe3atVm7di3FixenePHi/PTTTyxatIhFixZhb29P+/btGTlypLFDFyJb6RJVTSqHGzmS1yvmnABIjyqRktwKCiFMilqt/W6mMG4cQggh8g7dRG2SqMpb7O3tmTx5MpMnT051fevWrWndunXOBiWEEWk0cOyGMwBNKocZOZrX0/WoeiqJKvESGfonhDAp6vTPoCqEEEKki/SoEkLkB35PChAUaYO1ZRJ1KkYaO5zX+q9GlQz9E4YkUSWEMCkqJZjJK5MQQogsJIkqIUR+oBv2V88jEhurZCNH83pSTF2kRW4HhRAmJT5eCqkLIYTIOvHxEBys/VkSVUKIvCw3DfsDKOr4b42qSElUCUOSqBJCmIzkZFAqwUKq5wkhhMgiDx5ovxcoAM7Oxo1FCCGy03+F1HNHoqqYs/SoEqmTRJUQwmQkJkJSkvSoEkIIkXV0w/7KlAGFTNQhhMijAoNtCQy2w9wsmQZvRRg7nHR5ceifRmPkYIRJkUSVEMJkqNXaZJX0qBJCCJFVpD6VECI/OP7vsL9aFaIoaJtk5GjSp8i/s/6pEs2JiLE0cjTClEiiSghhMqRHlRBCiKwmiSohRH6Q24b9AVhbJuNUUAXI8D9hSPotCCFMhlqt/W7qQzMO3ijC/D0ViIixJHl5ATTZFK9CAf36Qf362XN8IYTIDyRRJYTID/5LVIUbOZKMKeqkJCLGimcR1lQqFWPscISJkESVEMJk6BJVpir4uTXf/lGFv68U/2/h8+w95/Xr2Xt8IYTI6yRRJYTI64IirLj9uCAKhYZGlXJZospRya2H9jyLtDF2KMKESKJKCGEyEhLAzASH/SUnw8bTpZm9822iEywxN0um3zu3aVfuBtEN3iPZrmC2nDc6GqpXz5ZDCyFEviGJKiFEXnf8prY3VdXSz3EqaOKf/L6kmHMCAE/DZeif+I8kqoQQJiMhASxMLFHl96wgEzdX54K/tkBllRKRTPvfFaq6PMU8OoLwt5JIzp48FaGhUq9LCCHeRGIiPH6s/VkSVUKIvOrYv4XUc9uwP9D2qAJ4FimJKvEfSVQJIUxCUhKoVKYz459SbcaigxX47WBF1Elm2FklMqrtP/g08sfcDIg3doRCCCFe5/Fj7fuLlRUULWrsaIQQInvkxkLqOkWd/k1URcjQP/EfE7klFELkd7oZ/2xM4D3q7D1nJm6uzv1gbVepZpWCmNL1GsWdJDslhBC5SUCA9nvJkmAmc10LIfKgiBhLrgY4ANA4N/ao0ieqpEeV+I8kqoQQJkGt1iarXh7qtvtyMbaeLUX5ItFULRlJtZKRlCocly0zA0bFWfL9X2+z6Yx2fEhh+wQmdb7Oe9WfmvxMhEIIIVKS+lRCiLzu5C0nNBoFHu4x+qRPblLUUVujSob+iRdJokoIYRLUidqi5S8nqn7Z58GdZw4c+8dNv6yQrYoqJaOoWjJS+1UqkqKFEjKdTNJoYPfl4kzbXpnQaG2Xru71AxnT7haF7HJXQUohhBD/kUSVECKvO3Y99w77A+lRJVIniSohhElITCMfFPJv4uh9r8c8CrPj1hMHouKtOHnHlZN3XPXbudonULWUNnH1VtFQYqMtsQhxJU5tR3S8Jc/jLYlOsND//Dzekuh4C6ITLImKtyQmwRKA8kWimfbBVWqXy31dp4UQQhiSRJUQIq/7rz5V7vzftZizNlEV+twalVqBlaXGyBEJUyCJKiGESVCnkqhSJSqIiLUCYFLn6zgXVKFKVOD3zIGrDxy59rAQ1x444hdkT0i0DYduFOXQjcxVy7WySGJwCz8GtriHtUXymzRFCCGEidAlqsqUMWoYQgiRLWLizblwrxCQe3tUORdUYWGeTGKSGcFR1pQonGDskIQJkESVEMIkxMenHPYXFq3tAmxpnoyjnQoAKwsNlUtEUblEFB/q9lWZc/OxNnl1/aEjNx7Zk5iYhJN9MoXsknCwVf/7lYi9jRr7f3+3t03EwUb7s6tDAgVtknKwxUIIIbKb9KgSQuRlvv84kZhkRinXOEq75c5Jf8zMoIijksdhtjyLkESV0Mp0oiouLo6nT58SExODk5MTRYoUwdpaxpUKITInPh4sXnpFCvk3UeVir3zlbE22VknUKhtBrbIRAKhUSoKCgilSxA0rK3ldEkKI/Cg5GR480P4siSohRF6U24f96RR1+jdRJQXVxb8ylKhSqVRs3bqVP//8k2vXrpGU9F/vA3Nzc2rXrk2bNm3o3LkzVlZW6TpmZGQkc+fO5ciRI8TExODp6cno0aOpXbs2AF999RXbtm0z2KdIkSIcO3YsI6ELIUxYYiIkJYGlpeFyXX0qV/vcN4OJEEII4woOBqVS+2l9iRLGjkYIIbLef4mq3DnsT6eoo66guo2RIxGmIt2Jqj/++IM5c+aQkJBA8+bNadOmDe7u7tjZ2REVFcWzZ8+4cOECc+fOZcGCBYwYMYIPPvjgtcf9/PPPCQsLY+7cuTg7O7Nu3Tr69+/Ptm3bKF++PLdv32bw4MF8/PHH+n3MXx4fJITI1dRqbbIqRaLqufZTFVcH6QIshBAiY3TD/ooXT/n+IoQQuV2CyowzdxyB3J+oKuas/V//abj0qBJa6UpUDR48mKCgICZMmECLFi3S7C3Vp08fVCoVu3btYsWKFezbt48lS5akedzAwEBOnjzJ+vXrqVmzJgATJkzg2LFj7Ny5k08//ZS7d+8ydOhQXF1d0zyOECJ3S0zUJqvsHQyX6xNV0qNKCCFEBkl9KiFEXnbOzxGl2hy3Qko83GONHc4b0feokqF/4l/pSlS1aNGCbt26oVAoXrutlZUVnTt3pmPHjmzevPmV2zo5ObF48WKqVKmiX6ZQKNBoNERFRREQEIBSqaR8+fLpCVMIkUvpZvwze+klJvTfoX+FJVElhBAigyRRJYTIy14c9peO23STVtRJhv4JQ+lKVKVnCN/LzMzM6N69+yu3cXBwoGnTpgbL9uzZw4MHD2jUqBF37txBoVCwatUqjh07hpmZGU2bNmXkyJHY29tnOKYXxcenc1aEuDjMVSptkYOXKz3nIkql0uB7fpJf256b2h0bCyqVApVKY7A8OEo7VsPJLgaVKv3tUP+b+dJ9zw5maiWWajXKhHiSLNJXky+jlEptkfm4OM3rN0b7umZnZ5ctsQghRG4jiSohRF527IYzAE2r5O5hf/Biokp6VAmtdGVeGjduTKNGjXjnnXdo2LAhzs7O2RLMhQsXGD9+PC1atMDb25uff/4ZMzMz3N3dWbRoEYGBgcyaNYs7d+6watUqzF41DdhrBAQEpGs7s5gYnJ89Iyk2lmRb20yfz1QEBwcbOwSjya9tzw3tDgqyJDzc0mCCBoAn4dp6dJbJQQQFZbwd4eERWRJfasyV8VjHPScw8AFquzdLnKclMtKcggWTcXBIf3duFxeXbIlFCCFyG0lUCSHyqsQkBSdvae/Jc3t9KoCijtoaVTL0T+ikK1Hl5eXFsWPH+OOPPzAzM8PT05N33nmHRo0aUbNmzXTP8PcqBw4c4IsvvqB69erMnTsXgOHDh9OnTx8cHLSFazw8PHB1daV79+5cu3aN6tWrZ/p8ZcqUwTY9iaeoKMwvXwZHRyhQINPnMzalUklwcDBubm5YW+evF4D82vbc1G6lEszNweGlGlVRCdoEUIUS1hQp4pbu46nVasLDI3B2dsIymyromiXEYhltiaZ0KZIKFsqWc4SFgb09vP12+ntUCSGE0NJ9JimJqrwrLCyMmTNncvz4cZRKJXXq1GHs2LFUqFABgFu3bjF9+nSuX7+Oo6MjPj4+9O/f38hRC/HmLt13IDbBAscCKqqUjjZ2OG9M16PqabgNGg25fiijeHPpSlT9/PPPANy/f59z585x/vx5du/ezdKlS7G1taV27dr6xJXujSEj1qxZw/Tp02nVqhU//PCDPvGlUCj0SSodDw8PAJ49e/ZGiSpbW9v0DZFRq8HKCqyttV+5nLW1tcknLbJLfm27qbdbo4HkZLC11f6pvbhcV6OqmHMyVlYZb4OlpWWm9ksPs6REzC0tsbaxJdkme3pbWltrr4uM5hNCiIzRaKRHVX4wZMgQzMzMWLJkCXZ2dvz000/06dOH/fv3k5CQQN++fWnZsiVTpkzh8uXLTJkyBUdHR7p27Wrs0IV4I8eua3vQN64czhsMMjIZukRVvMqc6HgLHOwSjRyRMLYMFV0qV64c5cqV09eeevToEefPn+fChQts3bqV77//HldXV44ePZruY65bt45vv/0WHx8fxo8fbzCcb/To0URGRrJs2TL9smvXrgFkKiEmhDA9iYnar5c7PkUnWKBM1A79k1n/hBBCZERkJET/28mgVCmjhiKySUREBCVKlGDIkCFUrFgRgKFDh9KxY0f8/Pzw9fXFysqKyZMnY2FhQfny5QkMDGTJkiWSqBK53ouF1POCAjZJ2NuqiY635FmEtSSqBG+Uf1UqlcTFxREfH49Go0GhUKRrZkAdf39/vvvuO1q1asWgQYMICwsjJCSEkJAQoqOjadeuHSdPnuTXX3/lwYMHHD16lPHjx9OuXTuZCVCIPEKt1iaqXp6rIOS5tjeVvY0aG6tkI0QmhBAit9L1pipcOFdXbhCv4OTkxNy5c/VJqtDQUJYtW0bRokWpUKEC58+fp06dOli88A9G/fr18ff3Jywsb9zci/wpORmO39TVpwo3cjRZRwqqixdlqEfV8+fPOXXqFMePH+fEiRMEBwdjY2ND7dq1+eCDD2jUqFGGEkh79+5FrVazf/9+9u/fb7Cuc+fOzJw5k59++olFixaxaNEi7O3tad++PSNHjsxI2EIIE5aYCElJ2hpVLwqN1r5JuTpIbyohhBAZo0tUlSlj1DBEDpk4cSKbNm3CysqKX3/9FTs7O549e6YvGaLj5qatd/nkyZNMTz5icvUgc2CG8tw0k3RWMtV2Xw90ICLGigLWiVRyD0apTF8t04wwRtvdCsXj96QgD0PMUz+vUkliohqlMp6EhOyZcTshQWnwPTdTKhXExSUTF5e+7U1t9vB0vZr98ssvHD9+nOvXr5OUlISHhwft2rWjUaNG1KpVK9PF1AcPHszgwYNfuU3r1q1p3bp1po4vhDB9arX2+8udMUP+TVQVtk/I4YiEEELkdlKfKn/p3bs33bt3Z/369QwbNox169aRkJCQ4h5FV7PzTW6+0ztzeE7JyRnKc8NM0tnB1Nr91yltneYapR/z7OmDbD1XTrbdwSoCcOUf/3gelnyYYr1ZfDyhoQk8evSESE32zewN8PTp02w9fk4ICrLE0TGWyMj0D6M0pdnD05Womj9/Pk5OTowcOZLOnTubVAOEELmbLlH1Mt3QP+lRJYQQIqMkUZW/6GrXfvvtt1y+fJk1a9ZgY2ODSqUy2E6XoHqTXgPpnjk8p+TADOW5aSbprGSq7b7xVDvctWXNaEqWLJkt5zBG28sVV8AVSKAYJUumMjw3Npbk8ChKlCiOU5nsmXE7IUHJ06dPKVasGDY2pvOYZ4alpYIKFZIpVix925tab9F0Jaq8vb05c+YMc+bMYfv27TRu3JhGjRpRp06dTPemEkII0PZUT222kpDn/w79k0LqQgghMkgSVXlfWFgYvr6+tGnTBvN/6weYmZlRvnx5goODKVq0aIreILrfixQpkunzpnvm8JySgzOUm/pM0tnFlNqt0cCJf1wB8K4Wle1x5WTb3Qtre/6ERtulfs7ERCwsLLG2tsUmm2bc1rGxsc72c2Q3a2vtzOGm9HKVEelKVC1cuJDExEQuXrzIiRMnOHHiBCtXrsTa2ppatWrpE1cyE58QIqPi41MvqRAqQ/+EEEJkkiSq8r7g4GBGjx6Ni4sLDRo0AECtVnPz5k28vb0pXLgwGzZsICkpSZ/I8vX1pWzZsjI6RORaj0JteBZhg5VFEnU9Io0dTpb6r5i6jZEjEaYg3bP+WVhYULduXT7//HO2bdvG8ePHmTx5Mk5OTixZsoT27dvTtGlTJkyYkJ3xCiHykORkUKlSFlIHCJahf0IIITJJElV531tvvUWjRo2YMmUK58+f586dO4wbN47nz5/Tp08funbtSkxMDBMmTODu3bts27aNVatWMWjQIGOHLkSmuTmqaFfnGZN6+OW5WbFl1j/xokxPDVG4cGE6depEy5YtuXbtGjt27GDXrl1s27aN6dOnZ2WMQog8Sq3WzvqXWu9emfVPCCFEZsTFQUiI9mdJVOVdCoWCH3/8kTlz5jBy5Eiio6OpXbs2a9eupXjx4gAsXbqU6dOn07lzZ1xdXRk7diydO3c2cuRCZJ61ZTJ/TTxn7DCyRVFH7SiKZ5GSqBKZSFQ9fvyYixcv6r/u3r2LQqHg7bffpl+/fvqut0II8TpqNSQmQYFUXol0s/65ytA/IYQQGfDg30mw7O219aVF3mVvb8/kyZOZPHlyquurVavGxo0bczYoIUSm6HpUBUdZk5SU+ogLkX+kK1H1+++/6xNTISEhaDQaypYtS4MGDRg+fDj16tXD3t4+u2MVQuQxiYmQnMobkTpJQUSsdqIGKaYuhBAiI14c9qdQGDcWIYQQ6eNWSImZmYbkZAUhz631iSuRP6UrUfXdd9/h6upKgwYNaNCgAQ0bNnyj2TKEEAK0PapSExZtjUajwNwsGacCqtQ3EkIIIVIh9amEECL3MTfXlvwIirThWYQkqvK7dCWqdu7cKTP6CSGyXGJi6sv1M/4VVGKW7ikfhBBCCAgI0H6XRJUQQuQuRZ3+S1SJ/C1diaqIiAjOnUt/0bY6depkOiAhRP6RkJD6+HNdfarCUkhdCCFEBkmPKiGEyJ2KOiq5ghRUF+lMVPn4+KB4YZC/RqPR//zycoVCwa1bt7IwRCFEXhUfDxapvAqFPv83USX1qYQQQmSQJKqEECJ30g33exZhY+RIhLGlK1FlaWmJWq2mUqVKvP/++1StWjW74xJC5HFJSdoaVaklqoKjtW9Obg4y458QQoiM0SWqypQxahhCCCEyqKiT9n//pzL0L99LV6LK19eX/fv3s2vXLubNm0fx4sV5//33ef/996V2lRAiU9RqbY0qW9uU66RHlRBCiMxQq+HJE+3P0qNKCCFyl2L6HlWSqMrv0pWoKliwIJ07d6Zz585ERkby999/s3v3bn777TcqVKhAu3btaNu2LSVKlMjueIUQeURiovYrtR5VuhpVrpKoEkIIkQGPHkFyMlhbg5ubsaMRQgiRETL0T+hkeD4tR0dHevTowe+//86RI0fo1q0bhw8f5t1336VHjx6sXr06O+IUQuQxajVoNKQ6q1/Ic+2bk6sUUxcvWLhwIT4+PgbLvvrqKzw9PQ2+mjRpYqQIhRDGphv2V6pU6u8vQgghTJc+USXF1PO9dPWoSoubmxu9evXi/fffZ/Xq1SxdupQrV66kuJEQQoiXqdVpr9P3qJIaVeJfK1eu5Oeff04xq+zt27cZPHgwH3/8sX6ZeWpTSQoh8gUppC6EELlXUUft//4y9E9kOlEVHh7Ovn372LNnD+fPn8fKyoqWLVvStm3brIxPCJFHqVSpL9doIDRaalQJraCgICZMmMCFCxcoW7aswbqkpCTu3r3L0KFDcXV1NVKEQghTIokqIYTIvXQ9qp7HWRKnNMfOOsnIEQljyVCiKiIiwiA5ZWZmRpMmTZg9ezbNmzfHNrWqyEIIkYqEhNTrU8UqzYlXaVdIjSpx48YNChUqxJ9//skvv/zC48eP9esCAgJQKpWUL1/eiBEKIUyJJKqEECL3crBLxNYqiXiVOc8irClXNM7YIQkjSVeiavPmzezZs4ezZ8+iUCh45513mD59Oi1atKBgwYLZHaMQIo/RaNJOVOnqUxWwVsunKAJvb2+8vb1TXXfnzh0UCgWrVq3i2LFjmJmZ0bRpU0aOHIm9vf0bnTc+Pv6N9s9tdO3Nb+2G/Nv2vNru+/etAXOKFlUSF5f6e0hCgnZoiVKlAqWJfCCiVIJKRVJcHFhaZssp4uPjsbOzy5ZjCyFEVlAooKhTAv5BBSRRlc+lK1E1ceJEzM3NqVmzJi1btqRQoUJoNBoOHDiQ6vadOnXKyhiFEHlMumb8k0Lq4jX8/PwwMzPD3d2dRYsWERgYyKxZs7hz5w6rVq3C7A0qKQcEBGRdoLlIfm035N+257V237tXGTBHowng1q2YVLcxi4nBGQgNCSE5JvVtcppZfDzm0dGE37lDcjZ+COzi4pJtxxZCiKxQ1EmpT1SJ/CvdQ/+SkpI4d+4c586de+V2CoVCElVCiFdS/5uosk7l/UfqU4n0Gj58OH369MHBwQEADw8PXF1d6d69O9euXaN69eqZPnaZMmXy1XD2+Ph4AgIC8l27If+2PS+2OzkZgoK07yGNG5eidGlNqtslBAURDRR2dcXaySkHI3yF2FiIjMTVwwMKFcqWU+S13nNCiLypqKPM/CfSmag6ePBgdschhMhHEtXaRJV5Kq9Awf8O/XMz8Rn/EpSgioAnjyGxQPacQ6XKtvuVPEGhUOiTVDoeHh4APHv27I0SVba2tvlyiEx+bTfk37bnpXY/eaJ93TQzgwoVbNMeQWdjQzRgbWWFdWqfmBhDYiJYWYGdnfZLCCHyKV1B9afhNkaORBhTuhJV7u7u2R2HECIfUau1380UKdeFPjf9HlWJiRATDSXcoFBl0LxZOaRXkvuVtI0ePZrIyEiWLVumX3bt2jUAKlSoYKywhBBGoiuk7u6ebWWehBBCZLOiTtoPq6VHVf6WrkTVRx99xNdff83bb7+d7gNfu3aN7777jvXr12c6OCFE3qROTHudvkaViSaqkjUQEQFF3aCIPZiXAaTXk1G0a9eOIUOG8Ouvv/L+++/j7+/P1KlTadeuncwEKEQ+JDP+CSFE7lfs3x5VUqMqf0tXoqpXr14MGDCAKlWq0KFDB7y9vVOtZxATE8OJEyfYuHEjN2/e5JtvvsnygIUQuZ9KqZ3VIzWh0dpuvoVNtJh6RLh2OJ57MTCPNXY0+Vvz5s356aefWLRoEYsWLcLe3p727dszcuRIY4cmhDACXaKqTBmjhiGEEOINFNUnqmToX36WrkRV69atqVOnDgsXLuTrr78mMTGRChUqUKJECWxtbXn+/DnPnj3Dz88PCwsLPvjgA2bPnk3hwoWzO34hRC4UH5/6jH8Awf8O/XOzN70aVdHR2hIipUqBlQKQRFWOmjlzZoplrVu3pnXr1kaIRghhaqRHlRDi/+zdeXiTZdbH8W/SNum+QQtYVoEWEcEFBEYRxYVRcRTRccUdRR0U9wVHRUVcGBgQERVE3F5xXBlnHJWZQUdFBAQFBSpIka0UKN2zNcn7x0MKhQJJm63N73NduZJmeZ5zN02e5uTc55bmT1P/BAJY9S87O5uHHnqIW2+9lU8//ZTFixezadMmKisrycrKomvXrlx11VWcdtppZEXLCioiEnU8HqPZ7cESVXWr/kVZRZXdbsTdrRukpqIklYhIlFGiSkSk+fOt+re9zIrHYyyQIbHH70SVT1ZWFpdeeimXXnppKOIRkWZm61aj51SiFSxWsCQYVUcHa2RbW2ucGrrd7YHSqujrUVVbCxUVRiVVdnakoxERkYYoUSUi0vy12ZOoctWaKa2y0DrdGeGIJBICTlSJiOyrrAxKS/dWSMXFGZd9q2wnJddPXrlcRuKngTZ3lFZZ8XhNmE1eslOjI1Hl8Rrjy82Fdu0O3ltLREQix+tVokpEpCWwJHhpleZkV6WF4t1WJapilBJVItJkKSmQlmZc9lVMOZ1QXQMet3G92bw3geVyGQmt/fn6U7VKdRAXJWW+ZbuN5ukdOjQcs4iIRN7u3VBVZVzu2DGysYiISNO0zbLXJap6daqMdDgSAVHyUVBEIq14t5VLnjme//viiCZtJz4eEhONxFV2FrRubZwyMsBqNZJYKSkNVyZF24p/VVXGeDp0MGIXEYlVlZXw3HOwc2ekI2mYr5oqN7fhil0REWk+9q78p3/AY5UqqkQEm8PM+RP68V1hFst/zeCywVuDvo+4OON0qITPjsro6U/ldBoN1Lt2hfT0SEcjIhJZf/kLjB8P774LCxdG3zRoTfuLTWVlZUyePJmFCxdSVVVFQUEBd911F3379gXggQce4P3336/3mDZt2vDll19GIlwR8ZOvobpW/otdAVdUbd0a3A+wZWVlPPzww5xyyikcf/zxXHbZZSxdurTu9tWrV3PllVdy7LHHcuqppzJ79uyg7l8k1nm9cN20Y/mu0Fit89fiZFy1kfkEsmPP1L+cdHtE9u/jdhu9t444wqgGExGJdQsXGudffgmvvRbRUBqkRFVsuvPOO/nhhx+YPHky7777LkcffTTXX38969evB2Dt2rWMHj2ar776qu704YcfRjZoETksX0XVttLECEcikRJwour000/n2muv5e9//zsOR9OrHg51gNm9ezfXXnstnTt35r333mPMmDFMnTqV9957r8n7FRHD4/O68/b/8oiP85AQ78HtMfNrcXJEYqlLVO1XUVVdbVQ3eb2hj8HrNXqdtM4xElXRVjUgIhJuLhd8993en+++21hkIpooURV7Nm7cyNdff80jjzxC3759OfLIIxk3bhxt2rTh448/xu12s27dOo455hhycnLqTtlavlck6rXNMr60VkVV7Ao4UTVp0iTi4+O5//77Oemkk3j44YdZsWJFo3Z+uAPMO++8g8Vi4dFHH6Vr166MGDGCa665hpdffrlR+xOR+t75qh2PvNUDgBduXkmvjkazwsKtqRGJp65HVQOJKqcTduyAigqj4ilUysogNRU6tN+7kqGISCxbsQJsNsjKgqOPNvpU3X9/pKOqr6jIOFeiKnZkZWXx0ksv0atXr7rrTCYTXq+X8vJyioqKcDgcdO3aNYJRikhjtFOPqpgX8Mewc889l3PPPZcdO3bw4Ycf8tFHH/HOO+/QuXNnLrzwQs4//3zatGnj17YOd4BZtWoV/fr1I36fT4sDBgzgxRdfZNeuXbRq1SrQ8EVkjyW/ZHD1X48D4I7z13PDWb+x4IfWLP81g7VbUjgvAjHV9ajaZ+qfx2P0turUyWjEvmOHUfFkMhkJpWA2Oa+uNlYn7NBBzXhFRHy+/to4/93v4L774JRT4OWX4ZprjOuigSqqYk96ejqDBw+ud90nn3zCb7/9xsknn0xhYSEmk4m5c+fy5ZdfYjabGTx4MGPHjiXNt1RxI9hstqaGHlw1NcQ5neBwhOwbNt8smmDMpmlOYnXcEPmxZ6cay7huK7XsjcHhoLbWhcNhw263hGS/druj3nlz5nCYqKnxUFPj3/1tNhvJyZGZVdOQRr+b5eTkMGrUKEaNGsXq1auZOHEiU6ZMYerUqZxyyinccMMNnHDCCYfcxuEOMFOmTCE/P7/e7bm5uYDRK6spiSq/DzJhePMPh0i/2URSrI79UOPevCuJ85/oh90Zx9nHb+OJy5bjcEDXNuVAHj//luT378vlMk5OZ9NjLik3DjpZSVU4ncb+a2vB7TZhNnvJzDRWE6yohN2lUF5uYudOSE72kpy8d5qey+Wqd+7vOCoqTHTu7CUx0XjJH5LDAU4n7poaSEgIdKghEW0HGBFpGXyJqpNOgkGD4NprYc4cGD0ali2LjrdAJapk2bJlPPjgg5x++ukMGTKEadOmYTabycvLY+bMmWzcuJGnn36awsJC5s6di9ncuMXPi3zle1HCXFVFdnEx7upqPCH+lq2kpCSk249WsTpuiODY7TXAKWwrtbBp0yYAzDYbO3fa2bx5K2Xe3SHd/bZt20K6/XDYvj2BzMxqyspq/X5MNBUCNSnzsnTpUj766CM+++wzKisrOemkkzjttNNYuHAhV155Jffeey/XXnut39vb/wAzceJELJb62VLrnvKJpiYd/D3IhPPNPxz0Rht79h93jSOey6b/kW27k8hvu5MJF73P1q1GlqmVNRnoyaoNew8Kh7N9eyIul4nqak+TY/X1qMKxhe3bywFwuUw4nSa2bbNjsextUpWQAKmpJiCOnTvjsdnNxMdBUpKH+HjjfqWl9Q9iXq+R9HK7we0x4dlz2eMFvNC6dS02uxN/hm622YirrKS0sBBPamSmSjYkmg4wItL8eb3wzTfG5ZNOMs6feQY++ghWroRp0+CuuyIXHxjVsLt2GZeVqIpNCxYs4O6776ZPnz5MnjwZgDFjxnDNNdeQvmfp3vz8fHJycrjkkktYuXIlffr0adS+OnfuTFI0fSYoLyduxQrIzISUlJDswuFwUFJSQm5ubt1nsVgQq+OGyI89OdPIAZTVJJHbthPWBA9UV+MpLad9+yPI6pwRkv3a7Q62bdtGu3btSExs3s95QoKJbt08tGvn3/2jrVo04ETVxo0b+eijj5g/fz5btmwhLy+Pq666ihEjRtC2bVsArrjiCu6++25eeOEFvxNVDR1gEhMTce5XpuFLUDW1asDvg0wY3vzDIdJvNpEUq2NvaNweD1z2l4H8vKUNOel25v/5Ozrn7p2qO8Bp3O+3Xa3p0KGDX/uprjaKi5qaq6l2xGFzGQelHl1SSKlLSoOrFjp2PPi39kY1lNHct6LChN1ei822m7S0TEzmBLyePdVWJkiOB3Ocl/g4SEw0pg5aLEbBZHp6AIWT1dVQVkZOfj5khOZgGahoO8CISPO3cSNs3Wq8N/bta1zXurWRrLrhBnjkEfjjH40p05GMEYy34szMyMUhkfHGG28wYcIEzjzzTCZNmlT3JbfJZKpLUvn4ZmoUFxc3OlGVlJQUXdXLLpfxj4zVGtx+CA2wWq0x9b+0T6yOGyI39rYJkBDvwVVrpsyWTsdUG9TWEh+fgNWaRGJiaJPFiYnWkO8j1KxWSE42Ts1RwImqoUOHYrVaOeOMM3j88ccZOHBgg/c78sgj/a5aOtgBpm3btgdUg/h+9rcP1sH4fZAJ45t/OOiNNvbGvu+4H3ytBx99l4cl3s0HDy6loIMb2Ps76dXZSAxvL0/EXptCRsrhS0UTEowEmKWJU8W3lRuvx2RLLVlpcUAcYLwErRbjTfZgVfpWq5Eoa9cOqqqgpMTL+vVeWreOJz3dUpeISkgwzn2nJq3oV1trDLo5HwFERA7DN+3v+OPrv9X5pv99/TXcfju8/35k4gNN+4tlb731Fo8//jgjR47kwQcfrDed76677qKsrIzZs2fXXbdy5UoAunXrFvZYRcR/ZjO0yXSweWcSxbutdMzRl7GxJuDJ2X/+85/56quv+Mtf/nLQJBXALbfcwrvvvnvY7fkOMFdccQV//etf603169evH8uWLcO9zxJfixYtokuXLpreIhKg1/7Tnonvdgdg1pgfOanngXO705Nr65aDLdwa3grCHQdZ8c/XTN2fVhImk9HDqn17OPJIO127GpdzcyE727gtKclIWDUpSSUiEiP2n/bnYzbDCy8Y788ffAAffxz+2HyUqIpNGzZs4Mknn+TMM8/kpptuYteuXezYsYMdO3ZQWVnJsGHD+Prrr3nhhRf47bff+OKLL3jwwQcZNmyYVgIUaQba7flMopX/YlPAiapPP/30oL1+1qxZw3nn+b9W2OEOMCNGjKCqqopx48axbt063n//febOnctNN90UaNgiMe3rn7MYNb03AA9c9AsjT9t80PsW5BmrbKzdHN6+S3tX/DswURUNjXpFRGLRviv+7e+YY+DOO43Lf/oTfq8sFGxKVMWmTz/9FJfLxeeff87JJ59c7zRhwgROO+00pk6dymeffcZ5553HuHHjOOuss3jyyScjHbqI+KFtlvGZQImq2OTX1L+lS5fi9RrNib/77juWLFlCaWnpAff773//63cDZqh/gPn888/r3TZ8+HCeeuopZs2axYQJExg+fDg5OTnce++9DB8+3O99iMS6opJkhk/sh7M2juEDtvHElWsOef+CvGq+WNWatVvCm6jauaeReus0e73rgzGtUEREAldRYTRMhwMrqnwefhjefttIFj3+OEycGL74fJSoik2jR49m9OjRh7zP0KFDGTp0aJgiEpFgapu5J1FVpkRVLPIrUfXuu+/y4YcfYjKZMJlMjB8//oD7+BJZw4YN83vn/hxgevfuzbx58/zepojsVWm3MHLKSewot3LckeW8fufyw06hyz/CqKiK1NS/XFVUiYhEhcWLjffgLl046KpBqanw3HNwwQUwaRJceSUcfXRYw1SiSkSkBfJVVG0rTYxwJBIJfiWqxo0bx4UXXojX6+Xqq6/m4YcfPqAJodlsJj09ne7du4ckUBEJjNsNd75xNj9tyqBdtp35D31HSqL7sI8raL9n6l+YK6p21FVU1U9Ueb0BrMQnIiJBc6hpf/s6/3z4wx9g/ny45RZYuDC8fQCVqBIRaXl8fXNVURWb/Pr4l5aWxoknngjAa6+9xtFHH01KSnirLUTEfyt+TefPb3Rn4c9HkJjg5qNx39G+tf3wD8SY+gdQuCUVj8e/JubBUNejKu3AOOPiwhODiIjs5UtUHWza376mTYMFC+DLL+G11+Dqq0Mbm4/TCVu3GpeVqBIRaTnaqUdVTPMrUfXhhx8yePBgsrKy2Lp1K1t9/xEcxAUXXBCM2EQkAF4v/PfHVjz9fjc+W54LgMnkZdafltCve7nf2+mcW0N8nAebM44tuxLpkONfgqupdu5JVLXeb+ofhC9ZJiIihtpa+PZb47I/iapOneCRR+C+++Duu2HYMAjHAs2bNxvHv8REY4VXERFpGfY2U9fUv1jkV6Lq/vvv55133iErK4v777//kPc1mUxKVImEkdsN7y9qxzPvd2PpukwAzGYvFw3cxBUDvmTogETA/28iEuK9dG1bw9otqazdkhq2RNWOioZ7VAGYVVElIhJWq1ZBVRWkp/vfc+qOO4xqqp9+ggcegJdeCm2MAEVFxnnHjuGdbigiIqHVNnPv1D+vF/QWH1v8SlT9+9//Jicnp+6yiESezWFm7n86MOmDrqwvNqbiJlncXH/mb9x5/nqOyCpj06YdQIeAt12QV1WXqDrj2J1BjvxAbg/sqjKW9tt31b89azQQp4oqEZGw8k37GzDA/+nXCQkwcyYMGgQvvwzXXHP4/lZNpf5UIiItU5ssJwB2Zxzl1fFkKlMVU/z6+JeXl4dlz/rweXl5pKSk8Msvv5CXl0deXh4ej4d///vfpKWlkZeXF9KARWLd7qoEJrzTnc43nMHNL/RmfXEK2WlOHrl0LRtnL+C5m1bRpa2tSfvIzwvvyn9l1RbcHjMmk5dWqc666z0e4wOSelSJiIRXIP2p9nXyyXDddcbl0aPB5QpuXPtTokpEpGVKtrpJTzYOIsVlmv4XawKuU1i3bh3Dhg3jscceq7tuy5YtPPvss1x44YVs3rw5qAGKiGHTjkTunN2TDtedwUNv9KCk3Eqn3Bqm3biS32Yv4NHLC8nJcB5+Q37wNVRfuzk8K/+V7Jn2l53iJD7OW3e92230p1KiSkQkvL75xjgPNFEF8PTTkJ0NK1fCM88YDc9DxZeo6tw5dPsQEZHIaKuG6jEr4ETVM888Q15eHvPmzau7bsCAAXzxxRe0bt2aZ599NqgBigh8+n0O+TcPYcpHXam2x9O7czlv3vU9v8z8D2OGFZGS6A7q/grCXFG18yAr/vlWHVSiSkQkfLZsMRJAZjPsWfQ5IK1bg+/fwYceguRkKCiA88+He++FV14xEmGlpU2PVRVVIiItV7usPX2qlKiKOX71qNrXihUrmDRpUl3PKp/s7GxuuukmHnjggaAFJyLw7ZpMLpzYF7szjoE9Snn4kkKGHr8jpE1j848wElVFJcnYnWYSLZ7Q7QzYcZAV/3yJKq36JyISPr5pf336QFpa47ZxzTWwdCm8/rrRlL2w0DjtLyfHSGL16GGcunc3VvDz1y+/GOdKVImItDyqqIpdASeqTCYT1dXVDd7mdDpxhboZgUgM+em3VM55rD81jnjOOq6Evz/0HZYE7+Ef2ES5mU4yUlyUVyewblsKvTpVhnR/Oyp8FVX1E1Ver3pUiYiEW1Om/fmYzTBjBjz/PGzdCmvWGKe1a/de3rQJduwwTl991bSYlagSEWl52mbuSVSVKVEVawJOVPXv358ZM2bQv39/srOz664vLS1l5syZ9O/fP6gBisSqou1JnPXwAHZXWRhQUMr7DywNS5IKjCW+84+oYskvWRRuCUeiyvj6PCe9/tQ/txusOi6JiISVr6IqGCv2mUyQl2ecTj+9/m3V1UaVlS9xtWYN/Por1NYGto+TToIOgS9wKyIiUc5XUbWtVM3UY03Aiap77rmHiy66iNNPP51jjz2W7Oxsdu/ezfLly7FarUyePDkUcYrElJIyC2c9MoCtpUn07FDJPx7+Luh9qA6nIK+aJb9ksXZL6Buq+3pUtU47cOpfQkLIdy8iIntUV8Py5cblplRU+SMlBY47zjiJiIjsr62vR5UqqmJOwJ1fOnTowMcff8yll15KTU0Nq1atoqKigksuuYQPP/yQLl26hCJOkZhRURPP7x8dwC9bU+mUW8Nnj31Ldlr4p9T6GqqHI1Hl61GV00CPqnglqkREwua774xq1vbtoWPHSEcjIiKxrJ16VMWsgCuqAHJycrjvvvuCHYtIzLM7zZw/oR/Lf80gJ8PBZ+O/Ja+V/fAPDIH8MK78Vzf1r6GKqka9S4mISGMEoz+ViIhIMOxtpq6pf7GmUR8Bi4uL+f7773E6nXXXeTwebDYbS5cuZcqUKUELUCRW1LpNXDbpeBaubE1akot/PbqY/LyGFy4Ih4I9+w5vRdWBSTk1UhcRCZ9g9qcSERFpiraZxmeDHRUWat0hXPJcok7AiapPPvmEe+65h9raWkwm44/F6/XWXT7yyCODG6FIDPB64abne/Pht+2wJriZ/9ASju9aHtGYuh9hJKpKKy3srLDQOt15mEc0js0ZR5XdmN+3f0UVKFElIhIuHg8sWmRcVkWViIhEWut0J2azF4/HREm5pv/FkoB7VL344ov07NmT999/nwsvvJA//OEP/OMf/+Cee+4hPj6eBx98MBRxirRo9889ilcWdMRs9vL2Pd9z6jG7Ih0SyVY3HVrbACjcErrpfzsrLQBY492kJh641JMSVSIi4bF6NZSVQXIy9OkT6WhERCTWxcVBbsae6X/lSRGORsIp4ETVhg0bGDVqFD179mTgwIGsXbuWrl27ct1113HVVVcxc+bMUMQp0mI9815Xnnm/GwAv3/oDFwwojnBEe4WjoXpdf6p0O6Z9Knq9XuNciSoRkfDwTfvr3x/i1R9QRESiQNvMPYmqMvWpiiUBJ6rMZjOZmZkAdO7cmV9//RWPxwPAoEGDWLduXVADFGnJXvm8A/fN7QnAM9f8zHVnbopwRPXtTVSFrqLqUCv+mc3GSUREQs+XqNK0PxERiRbtso0+VUpUxZaAPwIeeeSRLFu2DDASVS6Xi9WrVwNQUVFRr8G6iBzch9+2ZdTzxtyKey9cxz0Xro9wRAfyNXMvDGFF1c49iarWDaz4ZzaDWRVVIiJhoUSViIhEm7qKKk39iykBF3ZfeumlPPLII9TU1HDnnXfSv39/HnzwQS666CLeeOMNjj766FDEKdJieL0wf3EbLn32eDweE9ed8RtPXb060mE1KJxT/3L3W/HP6zUSVXGqqBIRCbnt22H9ejCZYMCASEcjIiJiaJulqX+xKOBE1cUXX4zT6WTz5s0APPbYY9x4441MmDCBvLw8xo0bF/QgRVqK//2UzUNv9ODLn1oBcMGAbbx464/1ejNFE1+iat22ZNzu0PSL2lFx8IqquDj1qBIRCYdvvjHOjz4a9nR4EBERiThfompbC0pU2e17+/GGitsd2u2HWqNaZV5xxRV1lzt27Mgnn3zC7t27yc7ODlpgIi3Jd4WZ/PnNAj5bnguANcHNLecU8eTINcTHhfhdqgk6tLZhTXDjcMWxcUcyR7atCfo+6npU7ZeocruNb/aVqBIRCT1N+xMRkWjUNsvXo6plTP2bMgX+7/+ML+VDKTUV/vUvaNcutPsJlUav6fLFF1+wbNkyysvLad26NQMHDlSiSmQ/P2xI5+E3C5j/XVsA4uM83HDmb4z74y+0b20/zKMjLy4Ouh9RzaqN6azdkhqSRNXOSuPbkdYNNFO3WonaajMRkZbEV1GlRJWIiESTvT2qmn9F1fz58OabkY6ieQg4UVVWVsaoUaNYuXIl8fHxZGZmUlZWxowZMxg0aBDTp0/HYrGEIlaRZmP1plQeeauAv319BABms5erTtvEw5cU0qWtLcLRBSZ/T6KqcEsKZ58Q/O2X7Jn6t3+PKo8H4hOCvz8REanPboc96+Twu99FNhaRQJSVlTF58mQWLlxIVVUVBQUF3HXXXfTt2xeA1atXM2HCBFatWkVmZiYjR47k+uuvj3DUIhKIdtkto0fVunXw9NPG5dGj4corQ7u/4mI48sjQ7iOUAk5UPfnkk/z2229Mnz6d008/HZPJhMfjYcGCBfz5z39mypQp3HfffaGIVSTqrd+WzPi383nzi/Z4PEYp0KWDtvDoZWspaF8d4egaJ5QN1T0e2HWQVf/cHkhodM2niIj4a+lScDqhTZvm/U+txJ4777yTXbt2MXnyZLKzs3nrrbe4/vrref/998nOzubaa6/ljDPOYPz48axYsYLx48eTmZnJiBEjIh26iPipbabxZXaVPYFqZ/P8cFBTA/ffDw4HDBwI111nLBoVSs29fUrAz/QXX3zB3XffzRlnnFF3ndls5qyzzqK0tJTp06crUSUx57cdSTwxrzuvLOiA22O861wwYBvjL1tL7y6VEY6uafYmqlKCvu2yGgu1e35frVL3m/rnBhVnioiE3r7T/jTdWpqLjRs38vXXX/N///d/HH/88QCMGzeOL7/8ko8//pjExEQsFguPPvoo8fHxdO3alY0bN/Lyyy8rUSXSjKQmuUm21lLjiGdHdXKkwwmY1wsTJ0JREeTmwmOPhT5J1RI0KiXZunXrBq9v164dNTXB72EjEs1+LU7mmDGDqXEYL6ezT9jOY5evpW/38ghHFhz5eUYlWOHW4FdU7dxTTZWV4sQSf2BT+bjm+aWJiEiz4mukrml/0pxkZWXx0ksv0atXr7rrTCYTXq+X8vJyVq1aRb9+/YiP3/vPxIABA3jxxRfZtWsXrVq1ikTYIhIgk8lY+e/XYiNRlRnpgAL04YfwySdGhdOTT0JWVqQjah4C/hg4fPhwXnjhBU488URSUvZWWNTW1vLGG28wfPjwoAYoEu1W/JpOjSOevFY23r7ne07uWRrpkILKV1G1eWcS1fY4UhKDt9aprz9VTlrDjeXj9G2DiEhIeb1qpC7NU3p6OoMHD6533SeffMJvv/3GySefzJQpU8jPz693e26usfry1q1bG52ostmirNdoTQ1xTqcxpyg+NN/wORyOeuexIlbHDdE39twMG78Wp1BcYSXJYcNuD820C7vdUe+8qX75xcSzz1oBE6NGuejRoxZ7mNbTcjhM1NR48LeOyGazkZwcPRVrAb+bJSYmUlRUxJAhQxgyZAi5ubns3r2br776iuLiYjIyMnjggQcA41uNJ598MuhBi0ST7WVGsqVvt/IWl6QCyE5z0Trdwc4KK4VbUjiua0XQtn2wFf98VBYrIhJav/xiYudOY5XVPbOnRJqlZcuW8eCDD3L66aczZMgQJk6ceMACT1ar8T9bUz58FxUVNSXMoDNXVZFdXIy7uhpPUlJI91VSUhLS7UerWB03RM/YM6y7gdYUbfeQsHkrZd7dId3ftm3bmrwNm83Mww93xuk00adPFQMHbmLDhiAE56ft2xPIzKymrKzW78dEU6VpwImq+fPnk5pqTAFavHhxvdvatm3L999/X/ezSY0OJAaUlBv/9LTJjI5vHEIh/4hqI1G1NTWoiaoddRVVDf/umnsTQBGRaPftt8Y3Av36qS+gNF8LFizg7rvvpk+fPkyePBkwvlx3Op317udLUDWlaqBz584khTghFJDycuJWrIDMTEgJfj9RMH5vJSUl5Obm1iX7YkGsjhuib+xd2pngR7CZcmnf/giyOmeEZD92u4Nt27bRrl07EhMbP26vFx59NIHi4nhycz08+WQcGRmdgxeoHxISTHTr5qFdO//uH23VogEnqv7zn/+EIg6RZquk3PjPPjej5SaqCvKq+GZNdtAbqu/Y06MqJ71+DazHa8xHV6JKRCS0vv3WeKPVtD9prt544w0mTJjAmWeeyaRJk+qqqNq2bXtANYjv5zZt2jR6f0lJSVE1PQaXy8gyW63GKYSsVmtUJC3CLVbHDdEz9rzWRlXQrpo0rNYkEhNDmyxOTLQ2aR/vvgv//rfxWeapp8y0aRP+5LbVCsnJxqk5CvrEmvXr1wd7kyJRzTf1L7cFV1QVtPet/BfchuoHq6jyuI1pf0pUiYiElq+iSokqaY7eeustHn/8ca644gr++te/1pvq169fP5YtW4bbvbe35qJFi+jSpUtUTW8RkcNrm2V8VmgOq/6tWQN7CjsZMwZ6945sPM1VwBVVZWVlTJ48mSVLluByufB6jZW6vF4vNTU1lJeXs3r16kYFM2PGDBYtWsTrr79ed90DDzzA+++/X+9+bdq04csvv2zUPkSCraQsNqb+ARQGOVFV16Nq/0SVR4kqEZFQKyuLY+1aI1E1cGCEgxEJ0IYNG3jyySc588wzuemmm9i1a1fdbYmJiYwYMYJZs2Yxbtw4brjhBn788Ufmzp3L+PHjIxi1iDRG2yxj9kW0J6qqquD++8HphFNOgSuuiHREzVfAiaqJEyfy8ccfc8opp/Drr7+SlJRE586dWbZsGRUVFTz22GONCuTVV19l2rRp9OvXr971a9euZfTo0Vx55ZV118Xp06tEEV+PqtwM52Hu2Xz5Vv5buyUF755pecFw0Kl/exJVaqYuIhI6K1caXz4UFEDr1hEORiRAn376KS6Xi88//5zPP/+83m3Dhw/nqaeeYtasWUyYMIHhw4eTk5PDvffeqxXKRZqhtpm+iqokIHgrkAeT1wuPPw6bN0O7dvDoo8H7zBSLAk5U/e9//+NPf/oTN998M3PmzGHx4sX89a9/pbq6miuvvJJ169YFtL3t27czbtw4li1bRpcuXerd5na7WbduHbfccgs5OTmBhioSFtvLjDLzllxR1bVdDWazl0pbAsW7rbTLDs5Y66b+7bfqn9utRJUcqKGq29WrVzNhwgRWrVpFZmYmI0eO5Prrr49glCLNxw8/GH0HNe1PmqPRo0czevToQ96nd+/ezJs3L0wRiUio+D577KxOxuOpjHA0DXvnHaMvVXw8TJwI6emRjqh5C/hjYEVFBSeccAIA3bt3Z9WqVQCkpKRw3XXXsXDhwoC299NPP5GRkcH8+fPp06dPvduKiopwOBx07do10DBFwsLpMlFW3fKbqVsTPHTOrQGgcGtwpv85XGYqbMbv7oAeVR5j2p+KJ8XHV3W7r927d3PttdfSuXNn3nvvPcaMGcPUqVN57733IhSlSPPy44/G+7kSVSIiEs18n7PcXjMVldFXpvTzzzBlinH59tuhV6/IxtMSBFxRlZWVRWWlkcXs1KkTu3btYvfu3WRlZdGmTRu2b98e0PaGDBnCkCFDGrytsLAQk8nE3Llz+fLLLzGbzQwePJixY8eSlpYWaOj1+L38Yk0NcU4nOBxGerSZ8i3H6zuPJaEc++ZdxgoOcWYPyQlVRNOvN9jj7t6ugl+LU1hVZGVA973bdLmMkzPAmY/bdhtzzC3xbhLjquo93uGAhAQa/fsMy9+7wwFOJ+6aGiPYKGCz2aJrJaIgOFTV7TvvvIPFYuHRRx8lPj6erl27snHjRl5++WVGjBgRoYhFmgenE376yaio+t3vIhyMiIjIISTEe2mdZmdnZSKlZSaOjHRA+6ishAcegNpaOO00uPTSSEfUMgSceRk4cCAzZ86koKCA9u3bk5mZyfvvv8/111/Pf//7X7KysoIW3C+//ILZbCYvL4+ZM2eyceNGnn76aQoLC5k7dy7mJswLKioq8ut+5qoqsouLcVdX40kK/7KSwbb/Mr2xJBRj/2lzLgCtUmvYsmVT0LcfDMEad9vUbUA7vl8Lm3rsHev27Ym4XCaqqz0Bba9wm/G7y0quPiDGyso4HI5aEhOb1vcrlH/vZpuNuMpKSgsL8aQGt8l8U7S0lYz2rbp9/vnn2bJlS91tS5cupV+/fsTv8yXCgAEDePHFF9m1a1eL+12IBNMPP5hxOMy0auWloCD6vp0WERHZV9tMI1H10SdWVhWFZh8uVzy7d7ciKyve7++hFy+GLVsgLw8eflh9qYIl4ETV7bffzsiRI7n//vt54403uPHGG3n66ad58cUXqays5NZbbw1acGPGjOGaa64hfc8Ez/z8fHJycrjkkktYuXLlAVMFA9G5c2eS/Ek8lZcTt2IFZGZCSkqj9xdpDoeDkpIScnNzsVqtkQ4nrEI59tU72wDQNquWDh06BHXbTRXscZ9QAHP/B8VV7eqNtbraKC4KNFezaucRALTJcNGmTW692xISTLRr56V9+8bFGpa/9+pqKCsjJz8fMjJCs48A+V0p2owcquq2uLiY/Pz8etfl5hp/S1u3blWiSuQQFi0yvuzr39+NydR8K8ZFRCQ2dGxVw6pNmXzybwv8O1R7SQByD3uvAx6VAE89BU2c9CX7CPg/k7y8PP75z3/WVSRde+21tG7dmu+//57evXsHdSUNk8lUl6Ty8X0oKS4ublKiKikpyb8pMi4XWCxgtRqnZs5qtcZcosonFGMvrTayM22znVH7ew3WuI/uZKzM98u29HrbS0gwekpZLIFtb7fN+N3lZriwWOrHFx8PyclNf8mF9O+9ttYYdHKycZKws9vtWPb7w/M9302d9tkSk36H4htvrI0bYnfs33xjNAE84QQHNTUtd9XahtjtxvHM4WvtEA3CMJ28JU4PF5HYMeGSH8lkN7uyumNNC/CDh5/c7loqK6tIS0slLs6/VInZDL//PRx1VEhCilmN+gotMTGRHj161P183nnncd555wUtKJ+77rqLsrIyZs+eXXfdypUrAejWrVvQ9ycSqJJy40NxbkbL/yc/P68agF+Lk3G6TFgSvE3a3s49K/61TrM3eLsaqcvhJCYm4tyvOZovQdXUD2P+Tg9vaWJ13BBbY//tNytffmn8H9ex42ZWr66KcEThZa6qIhvYuWMHnqroGHu4ppOr0lREmqtjO5cxYegGfunbnuwuoUlU2e0uNmzYRpcunUlMVLVxJPn923e5XLz55pu0a9eOoUOH1l3vdrv5wx/+wPnnn88NN9zQpL5R+xs2bBg333wzL7zwAueeey4bNmzgscceY9iwYVoJUKLC9jJfoipKvpENobxWdlISa6m2x7NhezIF7aubtL2SikQActMb/t0pUSWH07Zt2wP6kPl+btOmTZO27ff08BbCZrNRVFQUc+OG2Bv7v/5l5rrrrJSXm8jLc3DOOa3JzIyuqeuhZt++nUqgdU4O1iD2Vm2SMEwnj7WqQRERab78SlQ5nU5uvvlmvvnmG66//vp6iardu3djtVqZPHky33//PdOnT6/X2LYpTjvtNKZOncrMmTOZOXMmaWlpnHfeeYwdOzYo2xdpqpJyI5vfJrPlJ6pMJsg/oprlv2awdktqkxNVOyt9FVUN/+7MSlTJYfTr14+3334bt9tN3J7M5qJFi+jSpUuTqwb8nh7ewsTquKHlj93jgSefNBq9er0wYICbRx9dQ2Zm9xY97gYlJlIJWC2W6Jm2r+nkIiIidfzKKM2bN4+lS5cyZcoUfv/739e7rXXr1rz//vt8/PHH3H///bz77rtc2sg1GZ966qkDrhs6dGi9xJhINCnxVVTFQKIKID+viuW/ZlC4tekLC+zYk6jKSa8/9c+7Z0ZhXPCKM6WFGjFiBLNmzWLcuHHccMMN/Pjjj8ydO5fx48dHOjSRqFJRAVdfDR9+aPx8883w5JMO1q+vjWhcIiIiIg3x66PgBx98wDXXXHNAkmpfw4YN449//CPvvvtu0IITiXa+qX9tMlt+jyqAgjyjl8faLU3vn3GwiiqPx6im0tQ/OZxWrVoxa9YsNmzYwPDhw5k+fTr33ntvUBf1EGnu1q6F/v2NJJXFArNmwYwZgS+AISIiIhIuflVUbdy4kbvvvvuw9zvllFP4+9//3uSgRJoL39S/WOhRBVCwp6H62s1NS1R5vbBjTzP1/XtUud1GNVUQ291JC9FQ1W3v3r2ZN29eBKIRiX7z58PIkUZFVV4evPeekbQSERERiWZ+fRSMj4/H5XL5dT+TydTkoESaA49n31X/YiNRlX+EUVHV1Kl/5TUJuNxGyVSr/SqqvF4jSaWKKhGRxvF4YPx4OP98I0l18smwdKmSVCIiItI8+JWo6t69O4sXLz7s/RYvXkz79u2bHJRIc1BWnUCt23gJ5cbI1L/8PRVV28sSKa9u/KIJvv5UGUlOrPGeerd5PEpUiYg0Vnk5XHABPPqo8fOf/gT//je0bRvJqERERET851ei6vzzz+f//u//+PHHHw96n5UrV/Lmm29y9tlnBy04kWjmq6bKSHFhTfAc5t4tQ3pyLe2yjebnTelTtaMiEYCc9AMr0XyJKk39ExEJzJo1RtXU3/8OVivMmQPPPad+VCIiItK8+FUScdFFF/Hxxx8zcuRILrroIk499VTat2+Px+Nhy5YtfPnll7zzzjsUFBQwcuTIUMcsEhX2NlKPjWl/PvlHVLGtNJHCLSmcmF/WqG0cbMU/MHpUWSygWcQiIv778EO46iqorIT27eGDD6Bv30hHJSIiIhI4vxJVJpOJF198kSeffJJ58+bx1ltv1d3m9XqJj4/n4osv5s477yQxMTFkwYpEk5Ky2Gqk7lOQV80Xq1o3qaLqYCv+gVFRlZDQ6E2LiMScTz8F32KXgwfDO+9Abm5kYxIRERFpLL+bzCQmJvLYY48xduxYvv32W4qLizGbzeTl5TFgwADS0tJCGadI1PFVVOVmxEZ/Kh9fQ/WmTf3bU1GlRJWISJN99JFxfuGF8Pbbeg8VERGR5i3gbsjZ2dmcc845oYhFpFnx9aiKtal/Be2bvvLf3h5VB079U6JKRCQwP/9snF9wgd4/RUREpPlTu2KRRiopj92pfwCFW1LxNLKHvG/qX0MVVaAV/0REAuFLVB19dGTjEBEREQkGJapEGilWm6l3zq0hPs6DzRnH5l1JjdqGr5l66wZW/QMlqkRE/LVjh3EymaBHj0hHIyIiItJ0SlSJNFKJr0dVZmz1qEqI99K1bQ0AhVsaN/1vZ6Ux9S+3gal/AGa9M4mI+MVXTdW5MyQnRzQUERERkaDQx0GRRorVqX8ABXmNb6jurDWxu9r43TW06h+ookpExF++RFXPnpGNQ0RERCRYlKgSaaRYnfoHkF+XqAq8omrXnml/CXEeMpJc9W7zeIxqKiWqRET8o0SViIiItDR+rfp31VVXBbTR1157rVHBiDQXNoeZSpuxtFJsVlTtbageKF9/qlZpjgOm+PkSVWYlqkRE/KJElYiIiLQ0flVUeb3eeqfvv/+e5cuX4/V6ad26NfHx8axatYqVK1fSunXrUMcsEnEl5UayxRLvJiOlNsLRhF9Tpv7tqNjTnyrtwP5UdRVVqvUUEfGLElUihhkzZjBy5Mh61z3wwAMUFBTUO51yyikRilBERPzlV0XV66+/Xnf51VdfpbS0lNmzZ9O2bdu660tLS7nxxhtp37598KMUiTJ1/akynZhMEQ4mAvKPMBJVG3ck4XCZAY/fjz3Uin+a+ici4r/SUiguNi4fdVRkYxGJpFdffZVp06bRr1+/etevXbuW0aNHc+WVV9ZdF6d/MkREol7AdQuzZs1i7Nix9ZJUANnZ2YwePZp58+YFLTiRaFW34l8MTvsDI0GXkeLC6zXx267A+lTtqDB+dzkNNFJ3u/dM/VNFlYjIYa1ebZx36ABpaZGNRSQStm/fzg033MDUqVPp0qVLvdvcbjfr1q3jmGOOIScnp+6UnZ0doWhFRMRfAX8ctNvt1NY2PNWpurq6yQGJNAex3EgdwGTaO/1vw47Apv/trDSm/uWkNzz1Lz5eiSoREX9o2p/Eup9++omMjAzmz59Pnz596t1WVFSEw+Gga9euEYpOREQay6+pf/saMGAAU6ZMoXv37nTr1q3u+p9++om//vWvDB48OKgBikQjX4+q3AxnhCOJnPwjqvmuMIuNO1Mg3//H+SqqWjdQUeXxQHxCsCIUEWnZlKiSWDdkyBCGDBnS4G2FhYWYTCbmzp3Ll19+idlsZvDgwYwdO5Y0lSCKiES1gBNV48aN44orruAPf/gDHTp0ICsri127drF582a6d+/Ogw8+GIo4RaJKrFdUQeMrqnw9qhqa+ufxQELA70oiIrHJl6g6+ujIxiESjX755RfMZjN5eXnMnDmTjRs38vTTT1NYWMjcuXMxN7J822azBTnSJqqpIc7pBIfDKEsPAYfDUe88VsTquCFKx+5wUFvrwuGwYbdbQrILu91R77w5czhM1NR4qKnx7/42m43k5OTQBhWAgN/N2rVrxz/+8Q/ef/99li1bRnl5OXl5edx0002cf/75JCSoHEJavrpm6jHaowogf0+iqmhnYD2q9k79a7hHld5CRET889NPxrkqqkQONGbMGK655hrS09MByM/PJycnh0suuYSVK1ceMFXQX0VFRUGMsunMVVVkFxfjrq7Gk5QU0n2VlJSEdPvRKlbHDdE1drPNxs6ddjZv3kqZd3dI97Vt27aQbj8ctm9PIDOzmrIy/1eob9WqVQgjCkyj0u5JSUlcccUVXHHFFcGOR6RZqGumnhm7U/8K8oyedEU7/a+o8nqhxNdMvYEeVRCyLwNFRFqU8nLYssW4rBX/RA5kMpnqklQ++flGr4Li4uJGJ6o6d+5MUogTQgEpLyduxQrIzISUwL489JfD4aCkpITc3FysVmtI9hGNYnXcEKVjr67GU1pO+/ZHkNU5IyS7sNsdbNu2jXbt2pGYGCXjbqSEBBPdunlo186/+0dbtWijPhKWlpYye/ZsvvnmG3bs2MGsWbNYsGABPXr04Iwzzgh2jCJRR1P/oPsRRqKqvMbC7moLaWmHT9pV2uNx1hrLQrdObfh3p1WjRUQOz7fi3xFHGJ9PRaS+u+66i7KyMmbPnl133cqVKwHq9dkNVFJSUlRNj8HlAosFrFbjFEJWqzV6khZhFKvjhigbe20t8fEJWK1JJCaGNlmcmGgN+T5CzWqF5GTj1BwFnKjatGkTl112GQ6HgxNOOIE1a9bgdrvZsGEDM2bMYMaMGZx66qkhCFUkemjqHyRb3XRobWPTziTOnzqEVmkOslKcZKc6jfMUJ9mp9a+rshtvOWmJLhItnga3qxX/REQOT43URQ5t2LBh3Hzzzbzwwguce+65bNiwgccee4xhw4ZpJUARkSgXcKLq6aefplWrVrz++uskJyfTq1cvAP7yl7/gcDiYOXOmElXSornde1eui+VEFcBFJ21lykddqXIkUOVIYONO/x7XUH8qH1VUiYgcnhJVIod22mmnMXXqVGbOnMnMmTNJS0vjvPPOY+zYsZEOTUREDiPgRNWiRYt48sknSU9Px+1217vtkksu0Zu/tHilVRY8HhMAORmx26MKYPL1P3NR718o3m3FgYXdVRZKq42pgKVVVkqr9lze5zq7K47TehYfsC2P1zhXokpE5PCUqBKp76mnnjrguqFDhzJ06NAIRCMiIk3RqB5VcQf5JOl0OjGZTE0KSCTa+ab9Zac5SYj3RjiayMtMcZEU7yItzb/7O2tNWBr4vXncRpJKiSoRkcNTokpERERaqoC7wfTt25eXXnqJmpqauutMJhMej4f/+7//4/jjjw9qgCLRZvtuNVJvioaSVAAej9GfSj2qREQOraoKNm40LitRJSIiIi1NwBVVd911F5dddhlnnXUW/fv3x2QyMXv2bNavX8/GjRt56623QhGnSNQoKVd/qlDwJapUUSUicmhr1hjnubnQqlVkYxEREREJtoBrF/Lz83n33Xfp378/ixcvJi4ujm+++YaOHTvy9ttvc9RRR4UiTpGosTdRFdv9qYJNFVUiIv7RtD8RERFpyRrVo6pLly785S9/CXYsIs3C9jJN/QsFjwfi41VRJSJyOL5E1dFHRzYOERERkVDwK1G1ZMmSgDbar1+/RgUzY8YMFi1axOuvv1533erVq5kwYQKrVq0iMzOTkSNHcv311zdq+yLB4Gumrql/weXxQEJCpKMQEYl+P/1knKuiSkRERFoivxJVI0eOPGA1P6+3fkNkk8mE1+vFZDKxevXqgAN59dVXmTZtWr0k1+7du7n22ms544wzGD9+PCtWrGD8+PFkZmYyYsSIgPchEgyqqAoNt9uoqBIRkUPT1D8RERFpyfz6WPjaa6+FLIDt27czbtw4li1bRpcuXerd9s4772CxWHj00UeJj4+na9eubNy4kZdfflmJKomYkj2JqtxM9agKJlVUiYgcXk0NbNhgXFaiSkRERFoivxJVJ554YsgC+Omnn8jIyGD+/Pk8//zzbNmype62pUuX0q9fP+L3KbMYMGAAL774Irt27aKVlrqRCNDUv9DwepWoEhE5nLVrjffLVq0gJyfS0YiIiIgEn1+JqunTp/u9QZPJxK233ur3/YcMGcKQIUMavK24uJj8/Px61+Xm5gKwdetWJaokIjT1L3TUSF1E5ND2nfa3X1cGERERkRYh4omqQ7Hb7VgslnrXWa1GksDhaFqSwGaz+XfHmhrinE5wOJp1Ax3f76upv7fmKJhjr7bHUeMw/g4ykipxOGqbvM1QCddz7nIZJ2cTZ0I6nSZqa70EI9ywjN3hAKcTd01N1JSC2Ww2kpOTIx2GiISQ+lOJiIhIS+dX5mXNmjWhjqNBiYmJOPf79Ov74NnUD2NFRUV+3c9cVUV2cTHu6mo8SUlN2mc0KCkpiXQIEROMsf+2KwOAxAQXu3dsoKwZfJsd6ud8+/ZEXC4T1dWeJm1nd1kcqakOamrcQYostGM322zEVVZSWliIJzU1ZPsJlCpNRVo2JapERESkpQt6iVBlZSVpaWlB2Vbbtm0P+KDp+7lNmzZN2nbnzp1J8ifxVF5O3IoVkJkJKSlN2mckORwOSkpKyM3NratKixXBHPtWWzZgNFLv2LFDMMILmXA959XVRnFRU3M18fEmOnTwkp7e9JjCMvbqaigrIyc/HzIyQrOPAPldKSoizZYSVSIiItLSBZyocjqdvPrqq3z33Xe4XC68Xi8AXq+Xmpoa1q1bxw8//BCU4Pr168fbb7+N2+0mbk/zmkWLFtGlS5cmVw0kJSX5V5XlcoHFAlarcWrmrFZrzCWqfIIx9rIaIxvTJtPZbH6PoX7OExKMFfv2m6UbELcbrImQlBTcl1lIx15baww6Odk4iYiEmMMB69YZl5WoEhERkZbKHOgDnnnmGSZPnkxJSQnr169ny5Yt2Gw2fvzxR1avXs1NN90UtOBGjBhBVVUV48aNY926dbz//vvMnTs3qPsQCYQaqYeGxwNxZjVTFxE5lMJC4/0yIwPatYt0NCIiIiKhEXCi6rPPPuOaa65h/vz5jBw5kl69evG3v/2Nzz77jLy8PDyepvWp2VerVq2YNWsWGzZsYPjw4UyfPp17772X4cOHB20fIoEoKTcSVbkZTewcLvV4PMbqVUpUiYgcnG/a39FHa8U/ERERabkCnvpXWlrK4MGDASgoKGDevHmA0TPqxhtvZM6cOfzpT39qVDBPPfXUAdf17t27bh8ikba9zJjfpoqq4PJ4jCSVElUiIgf300/Guab9iYiISEsWcEVVWlpa3Up8nTt3Ztu2bVRVVdX7WaSl2ltRpURVMHk8YDYbJxERaZgaqYuIiEgsCPhjYd++fXn99depqamhffv2JCUl8fnnnwOwfPlyUqNomXaRYCvZ06MqN1NT/4LJ7Yb4eE1lERE5FCWqREREJBYEnKi69dZbWbFiBTfddBPx8fFcfvnlPPzww1x44YVMnTqVoUOHhiJOkaigZuqh4fUaqweKiEjDnE745RfjshJVIiIi0pIF3KOqR48efPLJJxQWFgJw1113kZqayvfff8+QIUO0Ip+0aCXlRo8qTf0LLrdHiSoRkUNZtw5qayE1Fdq3j3Q0IiIiIqETcKJqyZIl9OzZk5NOOgkAk8nE6NGjAaioqOCzzz7j3HPPDW6UIlGg1m1iV6WaqYeCx61ElYjIoew77U/TpEVERKQlC3jq31VXXcX69esbvO3nn3/mgQceaHJQItFoZ4UFr9eEyeSlVZp6VAWbWSv+iYgclPpTiYiISKzwq6Lqvvvuq1vNz+v18uijjzbYNL2oqIjWrVsHN0KRKFFSZlRTtU53EqekStDFacU/EZGDUqJKREREYoVfHw2HDh2K1+vF6/XWXef72Xcym80ce+yxTJw4MWTBikSSGqmHlpJ/IiIHp0SViIiIxAq/KqqGDBnCkCFDABg5ciSPPvooXbt2DWlgItGmpNxIVKmRemgoUSUi0rDaWli71rh89NGRjUUkWs2YMYNFixbx+uuv1123evVqJkyYwKpVq8jMzGTkyJFcf/31EYxSRET8EfBkm9dff/2AJNWPP/7IZ599RkVFRdACE4k2vkSVKqqCy+MxGgMrUSUi0rBffwWnE5KToWPHSEcjEn1effVVpk2bVu+63bt3c+2119K5c2fee+89xowZw9SpU3nvvfciFKWIiPgr4FX/duzYwV133UX//v259dZbee2115g4cSJer5fMzExef/11unfvHopYRSJq+54eVbkZaqQeTB4PmM1qpi4icjC+aX9HHWW8X4qIYfv27YwbN45ly5bRpUuXere98847WCwWHn30UeLj4+natSsbN27k5ZdfZsSIERGKWERE/BHwvzvPPPMMv/76K71798bj8fDSSy/xu9/9jg8//JBu3brxl7/8JRRxikRcSZmm/oWCx2NUU6mZuohIw376yThXfyqR+n766ScyMjKYP38+ffr0qXfb0qVL6devH/Hxe7+XHzBgABs2bGDXrl3hDlVERAIQcEXVV199xYMPPsigQYP4/vvv2blzJxMmTKBHjx7ccMMN3H333aGIUyTitmvqX0jUVVQpUSWNtGXLlro+ivt64oknuPjiiyMQkUhwqZG6SMP27aO7v+LiYvLz8+tdl5ubC8DWrVtp1apVo/Zps9ka9biQqakhzukEhwPiA/5o5xeHw1HvPFbE6rghSsfucFBb68LhsGG3W0KyC7vdUe+8OXM4TNTUeKip8e/+NpuN5OTk0AYVgIDfzWpqamjbti0AX3zxBRaLhQEDBgBgsVjqrQwo0pLUVVRlaupfMLndRpJKPaqksdauXYvVamXBggWYTKa669PS0iIYlUjwKFElEji73Y7FUv/DrNVq/C/XlA/fRUVFTQkr6MxVVWQXF+OursaTlBTSfZWUlIR0+9EqVscN0TV2s83Gzp12Nm/eSpl3d0j3tW3btpBuPxy2b08gM7OasrJavx/T2AR+KAScqOrcuTNLly6lT58+/Otf/+LEE0+se9OfP38+nTt3DnaMIlGhpNz4Z0cVVcHl8YDFoooqabzCwkK6dOlS9025SEvidsOaNcZlJapE/JeYmIjTWf/LRV+CqilVA507dyYpxAmhgJSXE7diBWRmQkpKSHbhcDgoKSkhNze37nNfLIjVcUOUjr26Gk9pOe3bH0FW54yQ7MJud7Bt2zbatWtHYmKUjLuREhJMdOvmoV07/+4fbdWiASeqbrrpJu655x5mzZqFzWbj4YcfBuDiiy/mp59+YtKkSUEPUiTSvF7Yrh5VIeHxQEJCpKOQ5mzt2rV069Yt0mGIhERREdjtYLXCfr2iReQQ2rZte0A1iO/nNm3aNHq7SUlJUTU9BpfL+MbPajVOIWS1WqMnaRFGsTpuiLKx19YSH5+A1ZpEYmJok8WJidaQ7yPUrFZjteBoersKRMCJqnPOOYc2bdqwbNkyTjzxRI499lgA+vbty2233cagQYOCHaNIxFXa4nG4jLlpmvoXXEpUSVMVFhaSk5PD5ZdfTlFREZ06deKWW25p0vEo2r5VCjXfeGNt3BD9Y1++PA6wkp/vweGwB2270T7uULLbjd+jw9fXJxo4HOB04q6pCdlBMdr6j4Rav379ePvtt3G73cTt6S+waNEiunTpElXTW0RE5ECN6rh3wgkncMIJJ9S77r777gtKQCLRyFdNlZpUS7LVHeFoWha3W4kqaTyn00lRURFJSUnce++9JCcnM3/+fEaNGsWcOXMYOHBgo7YbbT1IwiVWxw3RO/YvvmgDtOeII8pYvXpD0LcfreMOJXNVFdnAzh078FRVRTocwOi9EldZSWlhIZ7U1JDtJ5YSNCNGjGDWrFmMGzeOG264gR9//JG5c+cyfvz4SIcmIiKH0ahE1ddff81///tfbDYbHo+n3m0mk4knn3wyKMGJRIuSMqM/lab9hUaIFqmRGGCxWFiyZAnx8fF1TXN79erF+vXrmT17dqMTVVHXgyTEbDYbRUVFMTduiP6xl5Yaf9f9+6dy1FFHBW270T7uULJv304l0DonB2tWVqTDMVRXQ1kZOfn5kBGa3iuxVj3XqlUrZs2axYQJExg+fDg5OTnce++9DB8+PNKhiYjIYQT88XDWrFlMmjQJq9VKdnZ2vRWWgAN+FmkJSsqNiio1Ug8NrfgnTdHQVJb8/Hy++uqrRm8z6nqQhEmsjhuid+yFhcb5scdaSE4O/nLc0TrukEpMpBKwWixR1XsFi6V5NxSJsKeeeuqA63r37s28efMiEI2IiDRFwImqN998k/POO48JEyYcsOSrSEu1t5G6+lOFglb8k8Zas2YNl112GS+//DJ9+/atu37VqlVqsC7NnscDq1cbl7Xin4iIiMSKgD8e7tq1i4suukhJKokpJeWa+hdKZlVUSSPl5+fTvXt3xo8fz9KlS1m/fj0TJ05kxYoVjB49OtLhiTTJpk3GjLCEBOjaNdLRiIiIiIRHwImqnj178ssvv4QiFpGo5auo0tS/4PJ4jfM4VVRJI5nNZmbOnMkxxxzD2LFjGT58OD/88ANz5syhoKAg0uGJNMlPPxnnBQXq5SciIiKxI+B/ex588EHGjh1LcnIyffr0abAB5xFHHBGU4ESiRYlv6p8SVUHl9Rj9qdSjSpoiOztbi3hIi/Tzz8a5pv2JiIhILAk4UXXZZZfh8Xh48MEHD9o4fbWvoYJIC6Fm6qHhdhv9qZSoEhE5kBJVIiIiEosCTlQ98cQToYhDJKqpmXpoeDxKVImIHIwSVSIiIhKLAk5UDR8+PBRxiEQ1NVMPDV+iSqv+iYjU5/UqUSUiIiKxSR8PRQ7D6TKxu8pIVGnqX3B51KNKRKRBW7ZAZaXx/ti9e6SjEREREQkfvyqqevTocdB+VPszmUz87PsKUKQF2FFhTPuLM3vISnVFOJqWxePRSlYiIg3x/SvVvTtYLJGNRURERCSc/PqIeOutt/qdqBJpaUrK9kz7y3RqilqQeTyQkBDpKEREoo+m/YmIiEis8itRNWbMmFDHIRK19jZS17S/YFOiSkSkYb5E1dFHRzYOERERkXBTfYjIYZSUa8W/UFGiSkSkYaqoEhERkVilRJXIYfhW/FMj9dDQdEoRkfq04p+IiIjEsmbRxnjLli0MGTLkgOufeOIJLr744ghEJLFEU/9CSyv+iYjUV1wMu3cbifz8/EhHIyIiIhJezSJRtXbtWqxWKwsWLKjX1D0tLS2CUUmsKPElqlRRFRJKVImI1OerpuraFRITIxuLiIiISLg1i0RVYWEhXbp0ITc3N9KhSAzyVVRp6l9web3GuRJVIiL1adqfiIiIxLJm0R1m7dq1dOvWLdJhSIxSM/XQ8HiMaS3qUSUiUp8SVSIiIhLLmk1FVU5ODpdffjlFRUV06tSJW265hUGDBjV6mzabzb871tQQ53SCwwHxzeLX1SCHw1HvPJY0dewlZcaydFnJlc3q9xeu59zlMk7OAPN4Lhe43SZqa70EO8SwjN3hAKcTd01N1CxdaLPZSE5OjnQYItJESlSJiIhILIv6zIvT6aSoqIikpCTuvfdekpOTmT9/PqNGjWLOnDkMHDiwUdstKiry637mqiqyi4txV1fjSUpq1L6iSUlJSaRDiJjGjN3r3VtRVVu9gU2bqoIdVsiF+jnfvj0Rl8tEdbUnoMe5XCacThNbt9qxWLwhiS2UYzfbbMRVVlJaWIgnNTVk+wlUq1atIh2CiDSB2w2rVhmXlagSERGRWBT1iSqLxcKSJUuIj4/HYrEA0KtXL9avX8/s2bMbnajq3LkzSf4knsrLiVuxAjIzISWlUfuKBg6Hg5KSEnJzc7FarZEOJ6yaMvbdVQm43EYTpd49WpFoyQpFiCERrue8utooLgo0V2O3Gx/IOnUKfrFiWMZeXQ1lZeTk50NGRmj2ESC/K0VFJGr94x9QWgpZWUpUiYiISGyK+kQV0OBUlvz8fL766qtGbzMpKcm/KTIuF1gsYLUap2bOarXGXKLKpzFjL9thZF8yUlxkpEXH9K5Ahfo5T0gw+k3tySP7zeUyHpucDPss5hlUIR17ba0x6ORk4yQiEgRTpxrno0ZpxT8RERGJTVHfxnjNmjUcd9xxLF26tN71q1atUoN1CbmSMiP7kpvRfHpTNRcej7HiX6iSVCIizc3KlfCf/xjvjbfeGuloRERERCIj6hNV+fn5dO/enfHjx7N06VLWr1/PxIkTWbFiBaNHj450eNLC+fpTtclUoirYPJ6o6UEuIhIVpk0zzocPh44dIxuLiIiISKRE/dQ/s9nMzJkzmTRpEmPHjqWiooKePXsyZ84cCgoKIh2etHDby4xEVW5GgEvayWG5Pc16IU0RkaDauRPeeMO4fPvtkY1FREREJJKaxcfE7OxsnnzyyUiHITGopFxT/0LF4w68r5WISEv18svGIhPHHw8nnRTpaEREREQip1kkqkQixVdRpal/oRGndyAREVwueP554/Ltt6t3n0iwbNmyhSFDhhxw/RNPPMHFF18cgYhERMQf+pgocgglvql/SlSFRFzUd8kTEQm999+HLVugTRu45JJIRyPScqxduxar1cqCBQsw7ZMBTktLi2BUIiJyOEpUiRzC3mbq6lEVCnFxkY5ARCTypk41zkePBqs1srGItCSFhYV06dKF3NzcSIciIiIBUD2DyCFsL1OPqlBSokpEYt2SJbBokbEKqhYzFgmutWvX0q1bt0iHISIiAVJFlcgh+CqqlKgKLo/H6MFiVqpcRGKcr5rq0kuhbdvIxiLS0hQWFpKTk8Pll19OUVERnTp14pZbbmHQoEGN3qbNZgtihEFQU0Oc0wkOR8iWU3Y4HPXOY0WsjhuidOwOB7W1LhwOG3Z7aFZkstsd9c6bM4fDRE2Nh5oa/+5vs9lITk4ObVABUKJK5CDsTjMVNQmAmqkHm8djJKlUUSUisWzbNnjnHePybbdFNhaRlsbpdFJUVERSUhL33nsvycnJzJ8/n1GjRjFnzhwGDhzYqO0WFRUFN9AmMldVkV1cjLu6Gk9SUkj3VVJSEtLtR6tYHTdE19jNNhs7d9rZvHkrZd7dId3Xtm3bQrr9cNi+PYHMzGrKymr9fkyrVq1CGFFglKgSOQhfNZUl3k1Giv8vcDk8j8dIUilRJSKx7IUXjBX/fvc76Ns30tGItCwWi4UlS5YQHx+PxWJUX/Tq1Yv169cze/bsRieqOnfuTFKIE0IBKS8nbsUKyMyElJSQ7MLhcFBSUkJubi7WGGqkF6vjhigde3U1ntJy2rc/gqzOGSHZhd3uYNu2bbRr147ExCgZdyMlJJjo1s1Du3b+3T/aqkWVqBI5iBJff6pMp5YKDzJN/RORWGe3w8yZxuXbb49sLCItVUPTWPLz8/nqq68avc2kpKSomh6DywUWi7ESQ4gTClarNXqSFmEUq+OGKBt7bS3x8QlYrUkkJoY2WZyYaA35PkLNaoXkZOPUHOljoshBbC9Tf6pQcbs19U9EYtu8ebBjB7RvD8OHRzoakZZnzZo1HHfccSxdurTe9atWrVKDdRGRKKdElchB7G2k7oxwJC2Pb+qfKqpEJBZ5vXubqN96q7Hin4gEV35+Pt27d2f8+PEsXbqU9evXM3HiRFasWMFoLbEpIhLVNPVP5CBKyo2pf2qkHnwejz6YiUjs+uorWL4ckpJg1KhIRyPSMpnNZmbOnMmkSZMYO3YsFRUV9OzZkzlz5lBQUBDp8ERE5BCUqBI5CE39Cx2Px2inICISi3zVVFdeCVG0wI5Ii5Odnc2TTz4Z6TBERCRAmngjchAlexJVqqgKPlVUiUis2rgRPvjAuHzbbZGNRURERCQaKVElchB1FVWZ6lEVbF4vxKueU0Ri0PPPG8n600+HXr0iHY2IiIhI9FGiSuQgfD2qNPUvNNRIXURiTXU1vPyycfn22yMbi4iIiEi00kdFkYPwrfqnqX+hERcX6QhERMLr9dehrAy6doVzz410NCIiIiLRSYkqkQZ4PLBDFVUhZVaiSkRiiNcL06YZl8eMUVWpiIiIyMHo3ySRBpRWWXB7jJdHToZ6VAWT12ucx+ndR0RiyOefw+rVkJYG114b6WhEREREopc+Koo0YHuZUU2VneYkId4b4WhaFo/HqKbS1D8RiSVTpxrn114L6emRjUVEREQkmilRJdKAEt+Kf5r2F3Rut1FNpUSViMSKwkL45z/BZDKm/YmIiIjIwSlRJdIANVIPHY/H6M2i/iwiEiuee844P/dc6NYtsrGIiIiIRDt9VBRpwPa6iir1pwo2r9dIUqmiSkRiQXk5vPqqcfm22yIaioiIiEizEB/pAESiUcmeFf9UUeUfu31vk/TDcTohNVUVVSLS8tntcOONUFUFPXvCGWdEOiIRERGJNK/XmGUiB6dElUgDtqtHld/S0wOrjkpJMU4mU+hiEhGJtB074IIL4JtvID4ennpK73siIiKxrrYWtmwx/jcIpcTE5v1/hxJVIg2oa6aeqal/h9O+faQjEBGJLqtXG/2oNmyAjAx47z04/fRIRyUiIiKR5PHA1q3QoQN07Rr6RFJzXmVYiSqRBmjqn4iINMZ//gMXXmj0purSBf7xDzjqqEhHJSIiIpG2dSvk5MDRR0NycqSjiW7qEiPSAE39ExGRQL3yCgwdaiSpfvc7WLxYSSoRERGBkhKjT2+vXkpS+UOJKpEGlJQbiSpVVImIyOF4PHD//XD99UbviUsvhX//2/jWVERERGJbWZlx3qsXZGZGMpLmQ4kqkf1U2+OothuzYlVRJSIih2KzwSWXwNNPGz//+c/w5ptGE1MRERGJbdXVe1f/bdMm0tE0H+pRJbKfkjKjP1WixU1qkjvC0YiISLTavh3+8Af47jtISIBZs+CqqyIdlYiIiEQDhwN27jSSVB07Rjqa5kWJKpH97Dvtrzkv6SkiIqHz00/Gyn4bN0JWFnzwAQweHOmoREREJBrU1kJxMRx5JHTvHvoV/loaTf0T2Y8aqYuIyKF89pnRLH3jRujWDb79VkkqERERMXi9sG0bHHGEsahKXFykI2p+lKgS2Y8aqYuISEM2b4YJE+Ccc6CiAgYNMpJU+fmRjkxERESixbZtRrV1r15gtUY6muapWSSqPB4P06ZNY9CgQfTp04frrruOjRs3RjosaaF8PapyM5wRjkRE/KFjhITS+vXwzDPQvz906AAPPQRuN1x5JXz+ObRqFekIRUREJFrs3Gkkp445BlJTIx1N89UsElUzZszg7bff5oknnmDevHmYTCZGjRqF06lEggTf9nJN/RNpTnSMkGDyeo3+U489Bn36GFP77rvPaJhuMsFJJ8FLL8Frr+lbUhEREdmrshJcLqOSKjs70tE0b1HfTN3pdPLKK69wzz33MHhPA4gpU6YwaNAgPv/8c84999wIRyjRzOuFanscZdVWrOVW4uOtuD0mat2meuf7Xl672Uh9a+qfSPTTMUKCweuF7783889/wnvvQWHh3tvi4uDUU2HECLjgAmjXLlJRioiISLSy26G83EhSHXFEpKNp/qI+UbVmzRqqq6sZMGBA3XXp6en07NmTJUuW6ENIjPF6YdXGNHaUWyitsrCr0kJpZQKlVQnsqjCuq/t5z23O2sZ1r8vNVDWGSLTTMaL5cDrhl18Ce4zXayzt7DvZ7Yf/2e0ObB+7diXw97/3Ytu2veVRFguceaaRnDrvPGjdOrBtioiISOxwuWD7digogC5dIh1NyxD1iari4mIA2u33FWZubi7btm1r9HZtNpt/d6ypIc7pNP4Djo/6X9dBORyOeufN1Z2v9GHGJ90b/XizyUuc2Ut8nIc4s7fuFB9nnJvNXuLNXo7ItjG452YcjuabrGopz3ljhGXsDgc4nbhraiAhIXT7CYDNZiM5OTnSYYRVxI8RLYRvvKEc92mnWfnuu2hc9sZ4/SYneznrLDfnn+/m9793k56+9x41NREKLYTC8ZxHK7vdDoDD9/9dNAjDMSUWjxEej4fp06fzt7/9jYqKCk444QQeeeQROnXqFOnQRKSRnE5jil0o2O1QXW2um8LnD68Xdu+GTp2MxVXMzaK5UvSL+syL7x8oi8VS73qr1Up5eXmjt1tUVOTX/cxVVWQXF+OursaTlNTo/UWLkpKSSIfQJO1SMzkiqw3JFheZyXYyU2xkJNuNy8n2ussZyXYyU4zL6Ul2EhNqiTN7MZn835etHDY1/k8sajT357wpQjl2s81GXGUlpYWFeKKoU2KrGOvsHOljREsTynF37dqeX34JvGGDxeIlIcGz59yLxWJctlg8dT8nJHixWo3z+HhvQNs3m+HYY6sYOLCcxETjsVu2GKdYEIt/6+aqKrKBnTt24KmqinQ4QPiOKbF2jPD1MJw4cSJt2rTh2WefZdSoUXz88ccHHDdEJPpZLJCSEnj1tL/cbvB4jPNA9pGXBz17Rs131y1C1CeqEhMTAaMPie8yGJUSSU1IHHXu3Nm/x5eXE7diBWRmGq+KZsrhcFBSUkJubi7WZtz99Z4OZdzzx8/8vHcikNhixh6oWB03hGns1dVQVkZOfj5kZIRmHwGKxcqIiB8jWgibzUZRUVFIxz1rFoCfX08eku+ryuBUZxljL9NzHkPs27dTCbTOycGalRXpcAxhOKbE2jFCPQxFWp527aDNICBE/3rX1HhZvbqKo47yEkgBqtlMQAURcnhRn6jyTecoKSmhY8eOddeXlJTQo0ePRm83KSnJv/Jnl8tI3VqtLWJ5H6vVGnNJC59YHXusjhtCPPbaWuO9ITmZgI5kElQRP0a0MLE6bojdscfkuBMTqQSsFkv0HB91TAk69TAUaXlMGIucBOm7qgPExdU/SeREfaKqR48epKamsnjx4roPIRUVFfz8889ceeWVEY5OREQiSccIERFpSMz0MAxDP91Y7Xsaq+OGKB17mHr57XseS6Ktj2HUJ6osFgtXXnklkyZNIjs7m7y8PJ599lnatm3LmWeeGenwREQkgnSMEBGRhsRKD8Nw9tON1b6nsTpuiK6xh7M/bLS9zsMlmvoYRn2iCuC2226jtraWhx56CLvdTr9+/Zg9e7aaIIqIiI4RIiJygJjpYRiGfrqx2vc0VscNUTr2MPXyi9X+jdFWRdYsElVxcXHcc8893HPPPZEORUREooyOESIisr+Y6WEYxn66sdr3NFbHDVE29jD28ou613kMMh/+LiIiIiIiIs3Hvj0MfXw9DPv27RvByERE5HCaRUWViIiIiIiIv9TDUESk+VKiSkREREREWhz1MBQRaZ6UqBIRERERkRZHPQxFRJon9agSEREREREREZGooESViIiIiIiIiIhEBZPX6/VGOohw+v777/F6vSQkJGAymQ7/AI8HqqrAbAZ/7h+lvF4v7tpa4uLj/Rt3CxKrY4/VcUOYxu71Gu8PqanG+0MU8Hq9WK1WCgoKIh1KsxXwMaKF8Hq9uFyumBs3xO7YY3XcAF63G3d5OXEJCZii5P07HMcUHSOaJmqPD2H4rBKr/1PG6rghSscepvfJmD02RtkxIuZ6VPn+4Pz+wzObIT09hBGFh4kYfLL3iNWxx+q4IXbHHmsH1FAI+BjRQphMpphtLhyrY4/VcQOY4uKIz86OdBhhF2vva8EWtceHMHxWidn/q4jNcUPsjj2mj41R9t4WcxVVIiIiIiIiIiISnaKk3llERERERERERGKdElUiIiIiIiIiIhIVlKgSEREREREREZGooESViIiIiIiIiIhEBSWqREREREREREQkKihRJSIiIiIiIiIiUUGJKhERERERERERiQpKVImIiIiIiIiISFRQokpERERERERERKKCElUiIiIiIiIiIhIVlKgSEREREREREZGooESViIiIiIiIiIhEBSWqREREREREREQkKihRJSIiIiIiIiIiUUGJKhERERERERERiQpKVImIiIiIiIiISFRQokpERERERERERKKCElUiIiIiIiIiIhIVlKgSEREREREREZGooESViIiISCN5vd5IhyAiInJQOk5Jc6RElUgDRo4cyciRIw96+/3338+QIUPqfh4yZAj3339/OEITEZEGFBYWcscdd3DSSSfRq1cvTj75ZMaOHcvPP/8csn2+8MILzJ49u+7n5557joKCgkZta/fu3UycOJEzzjiDXr16ceKJJ3L11Vfz6aefBivcA45dIiKxKhzHjEh8PnjllVe4++67AaioqOC+++5j6dKldbcf7jOOv0pLSxk8eDCbNm1q8rZEGqJElUgj3HLLLUyfPj3SYYiICPDLL79wySWXUFpayrhx43jllVe499572bp1K5dccgkrVqwIyX7/+te/YrPZmrwdu93OFVdcwX//+19GjRrF7NmzefLJJ2ndujW33XYbr776atODFRERIHLHjFBbv349M2fO5J577gFg9erVfPjhh3g8nqDvKzs7m2uuuYYHH3xQFVsSEvGRDkCkOerYsWOkQxARkT3mzJlDZmYms2bNIiEhoe76M844g7PPPpsZM2bw0ksvRTDCQ/vXv/7F+vXr+de//kWXLl3qrj/jjDOw2+0899xzjBw5kri4uAhGKSLSMjT3Y8bBPPvss5xzzjm0adMmLPu7/PLLmTlzJgsWLODMM88Myz4ldqiiSqQRGpo+4XK5eOKJJ+jXrx/9+vXjvvvuo7S0FICFCxdSUFDAV199Ve8xK1asoKCggO+++w6ANWvW8Kc//YkBAwZw9NFHM2jQIJ544gnsdnt4BiYi0gzt3LkTOLAPR3JyMg888ABnn312vev/+c9/cuGFF3Lcccdx0kkn8fDDD1NeXl53+8Gm8BUUFPDcc8/VXQaYPn36AfdduHAhf/jDHzjmmGMYOnQoH374YaPiB7jpppu45ZZbcDqdfscGUF5ezgMPPED//v3p168fzz777AHfqrvdbl566SWGDRtG7969OfbYY7n00ktZtGhRvd/FmWeeycKFCznvvPPo1asXQ4cO5YMPPjjkmEREolUgx4yGpsotXryYgoICFi9eXHfdmjVruPbaaznuuOM47bTTmD9//gH7LS0tZfz48Zx22ml1U7xvvfVWNm/eXG9/48aN46WXXuLUU0/lmGOO4dJLL+WHH3445JgKCwvr3qd9MV511VUAXHXVVfXG4PV6efnllzn11FPp3bs3l1xyCStXrjxgezfddBPHH388xx9/PLfeeusB0/ysVitnnXUWL7744iFjE2kMJapEguSTTz5h1apVPPXUU9x7770sXLiQW265BYBBgwbRpk0bPvroo3qP+eCDD+jQoQP9+vWjpKSEK664ApvNxlNPPcXLL7/M2Wefzeuvv65pHyIih3DqqaeydetWLr30Ut58803Wr19f9wHk97//PcOHD6+774wZM7jjjjvo06cP06ZN49Zbb+XTTz9l5MiRAX0pMG/ePAAuuuiiuss+Dz/8MNdccw0vvPACubm53H///axZs+ag2xo0aBDx8fFcffXVTJ8+nRUrVuByuQDo3bs3119/PUlJSX7H5vF4uOGGG1i4cCF33303Tz/9NMuXL+ef//xnvftNmjSJ559/nksuuYRZs2bx2GOPsXv3bm6//XZqamrq7rdjxw4ee+wxrrrqKl566SXat2/P/fffz/r16/2OSUQkWgRyzPDH9u3bufLKKykvL+fZZ5/l9ttvZ9KkSWzfvr3uPl6vl5tuuomvv/6au+66i9mzZ3PLLbfwzTff8PDDD9fb3qeffsq///1vHnroISZPnszOnTu57bbbcLvdB43h73//Ozk5ORx//PEAHH300XXbffjhh3nkkUfq7rts2TI+//xz/vznP/P000+zfft2Ro8eTW1tLQAbNmzg0ksvZdeuXTz11FNMmDCBTZs2cdlll7Fr1656+z377LNZuXIlGzZsCOh3JnI4mvonEiTp6enMmjWL1NRUALKysrj11lv56quvOPnkk7ngggt4/fXXqa6uJiUlBafTySeffMLVV1+NyWSisLCQo446iqlTp9Zt43e/+x2LFi1iyZIljB49OpLDExGJWpdffjk7duxg9uzZPPbYY4DxHnzyySczcuRI+vTpAxhVRi+88AIXX3xxvX/a8/PzueKKK3j//fe5/PLL/drnscceC0Dbtm3rLvs88cQTnHLKKQB06NCBs846i++++44ePXo0uK2CggKmTJnC+PHjee6553juuedITEykb9++jBgxgnPOOSeQXwdffvklP/74Iy+++CKnnnoqAAMGDDigErikpIQ77rij3jftiYmJjBkzhrVr13LccccBYLPZmDBhAgMHDgSgc+fOnHbaaXzxxRd07do1oNhERCLN32OGv1599VVqa2t5+eWXadWqFQBdunThj3/8Y919SkpKSEpK4r777qNv374A9O/fn82bN/P222/X215tbS2zZ8+u+zxQXV3Nfffdx+rVq+nVq1eDMXz77bccc8wxmEwmAFJTU+nWrRsA3bp1q7sMYLFYeOmll8jMzASgqqqKhx56iHXr1tGjRw+mT59OYmIir776al0MAwcO5IwzzmDWrFncd999dds65phjAFi0aFG9qesiTaWKKpEgGTx4cN2bORgrfSQkJPDNN98AMGLECGw2G59//jkACxYsoKKiggsuuACAk08+mTfeeAOr1cqGDRv473//y8yZMyktLa2b8iEiIg27/fbb+d///sdf/vIXLrroIlJTU/n73//OJZdcwty5cwFjurXT6aybGuHTt29f8vLy6k3jaArfhxAwElVgrL50KGeddRYLFy5k1qxZXHfddXTt2pVvvvmGO+64g9tuuy2gZrVLly4lISGhLlkGxpSWwYMH17vfX/7yF6655hpKS0tZvnw577//ft10FV9Fl8++ybi2bdsC1Ku6EhFpTvw5Zvhr2bJlHHvssXVJKoA+ffpwxBFH1P3cpk0bXnvtNfr27cvWrVtZtGgRb7zxBt9///0B77fdunWr95nC13PqUIt3bNq0ifbt2/sVb7du3eqSVEDd4yorKwEj6dW/f38SExOpra2ltraW1NRU+vbtW/e5xictLY309PR60xdFgkEVVSJB0rp163o/m81mMjMz6z6cdOrUiX79+vHhhx9ywQUX8OGHHzJgwADy8vIAY6rG5MmTefPNN6mpqaFdu3b07t0bq9Ua9rGIiDRHGRkZDBs2jGHDhgHw888/c++99zJp0iT+8Ic/1PWh2v/92ned75/0pkpOTq67bDYb3wn6k2hKSEhg0KBBDBo0CDC+gX/iiSf49NNPWbhwIaeddppf+y8vLyczM7Nu3z45OTn1fl65ciXjx49n5cqVJCYm0q1bt7pj0v7x7jv1MJAxiYhEq8MdM7KysvzaTnl5eYNJov3fc+fPn8/kyZPZtm0bmZmZ9OjRg8TExAMet/9Ub9977qFW76uqqvJ7ivi+x6iGtl9WVsY///nPA6aLg7HaX0PxVlVV+bVvEX+pokokSPb/ttztdrN79+56366MGDGCxYsXs2HDBr7++msuvPDCutteeuklXn31VcaNG8fSpUtZuHAh06ZNa/CAICIihu3bt3PyySfzt7/97YDbevbsydixY3E6nWzatImMjAxgbyPdfe3YsaPuQ4lv6sS+/UCqq6tDET4Al156KQ888MAB1+fm5vLEE08AsG7dOr9jy8rKYvfu3Qf0MykrK6u7XFVVxQ033EBycjIff/wxy5cv57333mPEiBFBGZOISDQK5Jjhs/976f7VpFlZWQ0eV/Z9z126dCn33XcfZ555Jl988QWLFy9m7ty5B0wdb6zMzMygfdmSlpbGueeey7vvvnvA6ZVXXjng/hUVFX4n9UT8pUSVSJB88803dU0IwWiEWFtbS//+/euuGzp0KMnJyTz88MMkJiZy1lln1d22bNkyunXrxkUXXURaWhpgHEwLCwsP+Q2KiEgsa926NfHx8bz11ls4HI4Dbv/111+xWq106tSJPn36YLFY+Pvf/17vPkuXLmXr1q11TWh9Uy62bdtWd5/vv//+gG3vX7HUWHl5efzrX/86YEUloK5BbX5+vt+xDRw4kNraWhYsWFB3ndPp5Ouvv677+ddff6WsrIyrrrqK7t27143lyy+/BA79zb2ISHMVyDEDjPfc4uLievfZ/z13wIABLF++vF7z9HXr1tV7T1++fDkej4fbbrutbvq02+2um0rX1PfcvLy8escFgLi4uEZt68QTT2TdunUcddRRHHPMMRxzzDH06tWLV199ta6FiU9ZWRk2m63eNEeRYNDUP5GDKC4ubnC1vX2bEe5r586djBkzhpEjR1JUVMTkyZM56aST6prPglEae+655zJv3jz++Mc/1iv37d27NzNmzOCll17i2GOPZePGjbz44os4nc5DzkkXEYllcXFxPProo9x6662MGDGCK664gq5du2Kz2fj666958803uf322+uqqW688UamT59OQkICp59+Ops3b2bq1Kl069atrsp18ODBTJw4kT//+c+MGjWK4uJipk+fTkpKSr19p6ens3z5cpYsWVKvL1Wg7rjjDhYvXsxFF13EVVddxXHHHYfZbGblypW88sornHLKKXX9pvyJbeDAgZx88sk89NBD7Nq1i7y8PF577TVKS0vrNfpNTU1l5syZxMfHEx8fz6effsq7774LHLoXiohIcxXoMeO0007jP//5DxMmTOCMM85g2bJlfPjhh/W2efXVV/Puu+9y/fXXM2bMGNxuN3/9619JSEiou0/v3r0BeOyxxxgxYgQVFRW88cYbdSvC1tTU1OtLFaiTTjqJt956C6/XW1d56/vie+HChWRkZBx0QY/93XLLLVx66aXcdNNNXHbZZVitVubNm8eCBQuYNm1avfsuW7YMMHrtigSTElUiB/Hbb78xceLEA64/2JK1f/zjH7Hb7dx6661YLBbOO+887rnnnrqDhc9pp53GvHnz6k37A7jpppvYvXs3r732Gs8//zzt2rXj/PPPx2Qy8eKLL1JeXl530BQRkb1OPfVU3nnnHWbPnl23CIXFYqFnz55MmTKlXvXqmDFjaN26NW+88QZ/+9vfyMzM5Pe//z1jx46t6+/RpUsXnn76aV544QVuvPFGunbtyuOPP87jjz9eb7+jR49mxowZjBo1qsFeHv5q3749H3zwAS+++CJ///vfefnll/F6vXTq1Inrr7+eq666qu5Y4m9s06dPZ9KkSUybNg2Hw8E555zDH//4R/79738DxgeYGTNm8Mwzz3D77beTkpLCUUcdxRtvvMGoUaNYunTpAasEioi0BIEcM0aMGMFvv/3GBx98wLx58zjxxBOZOnUql112Wd19srKy+L//+z8mTJjA/fffT0pKCjfccEO940L//v15+OGHmTNnDv/6179o3bo1/fv3Z/r06dx6660sW7bsgAUvAnHWWWfx/PPPs3LlyrqkWPfu3Rk2bBhvvvkm//vf//j444/92laPHj148803mTJlCvfeey9er5f8/Hyef/55Tj/99Hr3/fLLL+ndu3ddf0ORYDF51QlTJKweffRRli1bdsDUExERERERkcYYPXo02dnZPPnkk2HZX3V1NYMGDeKZZ57hjDPOCMs+JXaoR5VImLz22ms8+uijzJs3j+uvvz7S4YiIiIiISAtxxx138Omnn7J169aw7O+tt94iPz//gCorkWBQokokTJYuXcpHH33EyJEjueCCCyIdjoiIiIiItBAFBQXcdNNNTJo0KeT7Ki0t5bXXXuPpp58+oM2JSDBo6p+IiIiIiIiIiEQFVVSJiIiIiIiIiEhUUKJKRERERERERESighJVIiIiIiIiIiISFWIuUbV27VrWrl0b6TBERCQK6RghIiIN0fFBRCR84iMdQLg5nU6cTicOhwOr1RrpcMLG4XCwatUqevXqFVPjhkaM3WaDjz6C3bsD21FWFpx/PiQlNS7QIMflqq1l69atHHHEESTEx9ZLvVFjD/XzFwax9r4WCjpG6BgRFRp7HAqAjhE6RjQnM2bMYNGiRbz++usN3v7QQw/xzTff8J///KfuOo/Hw/Tp0/nb3/5GRUUFJ5xwAo888gidOnVqVAxRe3yI1veLFvKaibrjQ5i0mLFH6+enQF8fYXqdJ4wZE7LtByq2/jPZh9vtjnQIYeUbb6yNGxoxdqfTeBNISoLERP8eY7cbj3E6Q3dADjAuj8OBu7IST3o6NOcDTCMEPPZwPH9hEIuv71CJtd+ljhFRNvbGHIcCpGOEjhHNxauvvsq0adPo169fg7cvWLCAv/3tb+Tl5dW7fsaMGbz99ttMnDiRNm3a8OyzzzJq1Cg+/vhjLBZLo+OJut9jNL5ftLDXTNQ952HQYsYejZ+fGvP6CMfrvLw8JNttrJhNVIkcVmIipKT4f3+bLXSx7MvfuOLj8SQlGfeNsQ8hjRp7uJ4/ERF/BXocCoSOETpGRLnt27czbtw4li1bRpcuXRq8T0lJCX/+85858cQT2bJlS931TqeTV155hXvuuYfBgwcDMGXKFAYNGsTnn3/OueeeG5YxhFW0vV/oNSPRJNo+PzX29RHK17nDEZrtNlLM9agSEREREZHo9tNPP5GRkcH8+fPp06fPAbd7vV7uv/9+zj//fE488cR6t61Zs4bq6moGDBhQd116ejo9e/ZkyZIlIY9dRESaRhVVIiIiIiISVYYMGcKQIUMOevurr77Kjh07mDlzJi+++GK924qLiwFo165dvetzc3PZtm1bk+KyRVulUE0NcU6nUQ0Rop46jj2VFg5/Ky4cDnA6cdfUQEJCSGIKB99zHXXPeRi0mLEH+PoI+G+9MRrz+gjH69zpJJrqq5WoEhERERGRZmPNmjVMnz6dN998s8F+U74P1/vfZrVaKW9iH5aioqImPT7YzFVVZBcX466uNqYshVBJSYl/MdlsxFVWUlpYiCc1NaQxhUO0Pefh1NzH3tjXh79/642KqRGvj3C8zs02G+kh2XLjKFElIiIiIiLNgsPh4O677+bmm2+mR48eDd4ncU+zYafTWXfZ99ikJn7I69y5c5O3EVTl5cStWAGZmSHrXeNwOCgpKSE3N9e/FeCqq6GsjJz8fMjICElM4WCz2SgqKoq+5zwMWszYA3x9BPy33hiNeX2E43UewhUFG0OJKhERERERaRZ++OEHfvnlF6ZPn87zzz8PgMvlora2luOOO47x48fTuXNnwKiK6NixY91jS0pKDprc8ldSUhLJyclN2kZQuVxgsRiNn0O8MILVavXvw3ttrRFTcrJxauai7jkPo2Y/9ka+Pvz+W2+Mxrw+wvE6b8JqqKGgRJWIiIiIiDQLvXv35rPPPqt33euvv85nn33G66+/TqtWrbBYLKSmprJ48eK6RFVFRQU///wzV155ZSTCFhGRAChRJSIiIiIizUJiYiKdOnWqd11GRgbx8fH1rr/yyiuZNGkS2dnZ5OXl8eyzz9K2bVvOPPPMcIcsIiIBUqJKRERERERalNtuu43a2loeeugh7HY7/fr1Y/bs2Q02XxcRkeiiRJWIiIiIiEStp5566pC3jxkzhjFjxtS7Li4ujnvuuYd77rknlKGJiEgImCMdgIiIiIiIiIiICKiiSkSEt77uxPP/HIxnTgrE+feYuDi44w4YMcL//Tgc4HYHFltcXMgX8REREREREYkaSlSJSMy7760+bC5Nhl8De1x1tf+JKocDFi+GmprA9pGcDP37K1klIiL1bdtmnLdrF9k4RERiWU0NbNoEHo9/9zfbIL4Sdi4Gd6p/j4mrgtbroTYNPEn+PcZkgvbtIdXPfUQbJapEJKZt3pnI5tJkzCYP77xqIz4j5bCP2boVbrkFior834/bbRzILBb/k04Oh/GYQKuwRESk5du9GxISIh2FiEhsq6iEXbsgMdG/+5vtkOCAqiqo9fr3mPhqSHWAKwH8zIdht0Nurp93jkJKVIlITPt2bRYAvfN2MeJ8C2Qc/jHV1UaiqqzMOGVm+r8/q9X/AxmA0+n/fUVEJHY4HEpUiYhEkscDpXuSVOnp/j3GnGB0GsluBR4/q53MiUZllDuAiqrm/hlCzdRFJKYtWmMkqgZ0KfH7MSkpkJNjXN64MRRRiYiIHJrNFukIRERim81mfIEdyJfQ4h8lqkQkpi3aU1E1sEtxQI/r3Nk4D2T6n4iISDB4vc3/23IRkeauuhpqa43WHhJcSlSJSMxyuMwsW2fM9Rt45PaAHqtElYiIREptrXESEZHI8HqhtFRJqlBRokpEYtaKX9Nx1sbRKtVBt5zygB6rRJWIiESKy6WFNkREIslmNyqqkvzsGSWBUaJKRGJWXX+q7jsxmQJ7rBJVIiISKaqoEhGJrOoqYwq2KqpCQ4kqEYlZdf2puu8K+LFKVImISKS4XEpUiYhEUlkZxMdHOoqWS4kqEYlZ39YlqnYG/FglqkREJFJUUSUiEjl2O1RWatpfKDWbRNWHH37IOeecwzHHHMO5557LJ598EumQRKQZ27rLym87kjGbvfTrWhrw4zt1Ms7LyoyTiIhIuKhHlYhI5FRXg8MBVmukI2m5mkWi6qOPPuLBBx/kkksu4eOPP+acc87hzjvvZPny5ZEOTUSaqUVrswHo1bGCtKTAv5ZOSYGcHOPyxo3BjExEROTQVFElIhI5ZWUQF0/APW7Ff1GfqPJ6vUydOpWrr76aq6++mk6dOnHrrbfyu9/9ju+++y7S4YlIM+VrpD6wx+5Gb0PT/0REJBKcTvB4Ih2FiEjscTigogKSNe0vpKK+/devv/7Kli1bOO+88+pdP3v27AhFJCItQV1/qoKmJaqWLFGiSkREwstmi3QEIiKxyTftLyU10pG0bFFfUVW05xNgTU0N119/PQMHDuTiiy/mP//5T2QDE5Fmy+kysXRdBqCKKhERaX7s9khHICISmyoqjCl/Zk37C6mor6iqqqoC4L777uNPf/oTd999N59++im33HILc+bMYeDAgY3ari3GvoryjTfWxg2NGHtNDXFOp5Eq93fNUYcDnE7cNTWQkNDISIMbl8PhqHceSw439iW/ZOFwxZGd6qBjq1IcNY17/o44Ih6wsH59LTU1zkPet6YGHA4zCQlev7dvt4PDYaKmxr/5HTabjeTkZL+3LyIizZMSVSIi4edyQXm5VvsLh6hPVCXs+dB4/fXXM3z4cACOOuoofv755yYlqopitAQiVscN/o/dXFVFdnEx7upqPH6+C5ltNuIqKyktLMSTGpo60MbEBVBSUhKSeJqDg4390+9aAXBMhy1s3ryp0c+fyZQOdGftWierV68+5H3tdhO//ZZGcrIbq9W/ZJWRpIqjdetKEhP9e0yrVq38up+IiDRPaqQuIhIZVdXG1Ots/bsdclGfqGrbti0A+fn59a7v1q0bCxcubPR2O3fuTFIMpUJtNhtFRUUxN25oxNjLy4lbsQIyM42l3fxRXQ1lZeTk50NGRlPCDVpcDoeDkpIScnNzscbY2qmHG/vaHV0BOLVPDR06dGjC82fU/JaUJHHUUUcd8p41NbBzp5nUVC+Jif5t3W6HqioTBQUe/CmUisWKSRGRWONLVMXFRToSEZHYUllhnGvaX+hFfaKqZ8+epKSk8MMPP9C3b9+66wsLC+nYsWOjt5uUlBSTU2RiddwQwNhdLrBYwGo1Tv6orTUek5yMXxmFxmhMXIDVao25RJXPwcb+3S+tATi5Z6VxeyOfvx49jPOyMhNOZzKZmYeLBxIT8TtRBcbTHso/KxERaV5cLnC7/e9OICIiTVdbC7t3a9pfuET9IS4xMZEbbriB559/njZt2tC7d2/+ThHsJAABAABJREFU8Y9/8PXXX/Pqq69GOjwRaWa2lVrZWJKMyeTlxPyyJm0rJQVycmDHDti4kcMmqkRERJpKFVUiIuFXXW3MdtD/++ER9YkqgFtuuYWkpCSmTJnC9u3b6dq1K8899xz9+/ePdGgi0sx8uzYLgF4dK0lPbnqTj86djURVURH06dPkzYmIiBySywUejxJVIiLhVFkJXq/ee8OlWSSqAK699lquvfbaSIchIs3cojVGompgj91B2V7nzrBkiZGoEhERCTU1UhcRCS+3G8rKAmvfIU1jjnQAIiLhtGhPRdWAguAlqkCJKhERCQ+XK9IRiIjElupqY2Ek9acKHyWqRCRmuGpNLF2XCQS3ogqUqBIRkfCorQWTVpwSEQmbqiqjqkrT/sJHiSoRiRk/bEjH7owjK9VJ/hFVQdmmElUiIhJONps+LImIhIvHY6z2p2l/4dVselSJiDTVvtP+zEFK0ytRFVplZWVMnjyZhQsXUlVVRUFBAXfddRd9+/YF4IEHHuD999+v95g2bdrw5ZdfRiJcEZGQs9uNRJXbHelIRERavpoa45SWFulIYosSVSISM3yN1IPVnwqgUyfjvKzMOGnJ2uC688472bVrF5MnTyY7O5u33nqL66+/nvfff5+uXbuydu1aRo8ezZVXXln3mDiVGohIC2a3Q3w8OJ2RjkREpOWrqjamXMcrcxJWmvonIjHj2z0VVQODmKhKSYGcHOPyxo1B26wAGzdu5Ouvv+aRRx6hb9++HHnkkYwbN442bdrw8ccf43a7WbduHccccww5OTl1p+zs7EiHLiISEh6PkaBSPl5EJPS8XthdChZLpCOJPUpUiUhM2L7bwobtKZhMXvoXlAV125r+FxpZWVm89NJL9OrVq+46k8mE1+ulvLycoqIiHA4HXbt2jWCUIiLh43IZU/5i7Zv9GTNmMHLkyHrX/ec//2HEiBEcd9xxDBkyhKeffhq73V53u8fjYdq0aQwaNIg+ffpw3XXXsVHfKIlIAGw2Y8U/rfYXfkpUiUhMWLTWqLI5umMl6cm1Qd22ElWhkZ6ezuDBg7Hs8zXWJ598wm+//cbJJ59MYWEhJpOJuXPnMmTIEM444wwef/xxKisrIxi1iEjo1NYap1iqqHr11VeZNm1aveuWLl3Kn/70J4YOHcqHH37Io48+yieffML48ePr7jNjxgzefvttnnjiCebNm4fJZGLUqFE4NWdSRPxUVWV8QaCKqvCLse9jRCRWfbs2EwhufyofJarCY9myZTz44IOcfvrpDBkyhGnTpmE2m8nLy2PmzJls3LiRp59+msLCQubOnYu5CR3zbTZbECOPfr7xxtq4IUrHXlNDnNMJDkfISmccDke981gS8NgdDnA6cdfUQEJCCCM7vPJyqKkxk5zsxeEwYbN5qanx+vVYm81GcnJyiCMMnu3btzNu3DiWLVtGly5d6t329ttvM2DAAG688UYAOnXqxB133MGDDz5Yl6x65ZVXuOeeexg8eDAAU6ZMYdCgQXz++eece+654R2MiDQ7Xi+Ulkb8bT9mKVElIjFh0RqjoiqY/al8lKgKvQULFnD33XfTp08fJk+eDMCYMWO45pprSE9PByA/P5+cnBwuueQSVq5cSZ8+fRq9v6IYfTJjddwQXWM3V1WRXVyMu7oaT4jnG5SUlIR0+9HM37GbbTbiKispLSzEk5oa4qgOrawsjqKiVGpqXJSUJJCQYMfl8j/Z2KpVqxBGF1w//fQTGRkZzJ8/n+eff54tW7bU3Xbdddc1+GVEbW0tVVVVbN68merqagYMGFB3W3p6Oj179mTJkiVKVInIYdntxrS/ZpTfb1GUqBKRFs9Va2LJL5kADOyhRFVz88YbbzBhwgTOPPNMJk2aVDcV0GQy1SWpfPLz8wEoLi5uUqKqc+fOJMVQQwKbzUZRUVHMjRuidOzl5cStWGEsI5qSEpJdOBwOSkpKyM3NxWq1hmQf0SrgsVdXQ1kZOfn5kJER+gAPYds22LnTTPv2XqxWE127eunWzf+KquZkyJAhDBkypMHbevbsWe9np9PJnDlzOProo8nOzmbp0qUAtGvXrt79cnNz2bZtW5PiirrfYzRWYEZRFWJTRGXFbZi0mLEH+PrY92+9shKqq00kJXmDusqq2eUgweXCYbfhjvdvTmGc3Uaty4XL5cAT59/r3OUy4XB48ftl63QSTf8NKFElIi3ej0Xp2JxxZKY4KcirCvr2lagKnbfeeovHH3+ckSNH8uCDD9b7Bv2uu+6irKyM2bNn1123cuVKALp169ak/SYlJTWrKTLBEqvjhigbu68hhtVqnELIarXGXKLKx++x19Yaz0dycsS/Wvf9WSQmGudJSREPKeJqa2u59957WbduHW+++Saw98O1Zb/GMlarlfLy8ibtL5qqLyE6KzCjqQoxGKLtOQ+n5j72xr4+SkpK2LTJQkVFPG63O6gxxTlsWGsq2LjxN1zJaX49JqGmEtOuXThsLtzWar8eU1YWR0qKg+pq/+I322ykH/5uYaNElYi0eN+uzQKgf34ZTWhbdFCdOhnnZWXGKTMz+PuIRRs2bODJJ5/kzDPP5KabbmLXrl11tyUmJjJs2DBuvvlmXnjhBc4991w2bNjAY489xrBhw7QSoIi0SC5XpCOILlVVVYwdO5bFixczbdq0ukraxMREwKi08l0Go0qiqZWTUVV9CdFZgRlFVYhNEZUVt2HSYsYe4OvD97eekZHLzp1WMjOD/32R2V5NQmUC3k4dcaf69/qIqyqndWErXGkZeBL9e53Hx5to185LdrZ/cTl2B3/WSVMoUSUiLd6iNUaiKhTT/sA47uXkwI4dsHGjElXB8umnn+Jyufj888/5/PPP6902fPhwnnrqKaZOncrMmTOZOXMmaWlpnHfeeYwdOzYyAYuIhJjDQUi+cGmOSkpKGDVqFJs3b+bll1+u14/KN+WvpKSEjh071ntMjx49mrTfqKq+hOiswIyiKsRgiLrnPIya/dgb+fqorbUCVlJTwWQKbkhmdy1xCQlYE5PwJPqXBDTXOolPSMCUYMVj8W8cCQkBDjvKljZUokpEWrxFa0ObqAJj+t+OHcb0vya0RpJ9jB49mtGjRx/yPkOHDmXo0KFhikhEJLLsdoiLi3QUkVdeXs7VV19NVVUVb731FgUFBfVu79GjB6mpqSxevLguUVVRUcHPP//MlVdeGYmQRaQZKS83vhQIdpJK/KdElYi0aCVlFn4tNkpkT+we2kTVkiXqUyUiIqFjt4esX3azMnHiRDZt2sSsWbPIzs5mx44ddbdlZ2djsVi48sormTRpEtnZ2eTl5fHss8/Stm1bzjzzzAhGLiLRzuUyUVlp9ACUyNGhTkRaNF9/qp4dKslMrQ3ZftRQXUREQsnrDenCbs2Gx+Phn//8Jy6Xi6uvvvqA2//973/Tvn17brvtNmpra3nooYew2+3069eP2bNnH9BgXURkXzabGYfDRGZWpCOJbTF+qBORlm5vf6rSkO5HiSoREQml2lrjlJAQ6UjC76mnnqq7bDab+fHHHw/7mLi4OO655x7uueeeUIYmIi1MdbUZTGDWtL+IUjtGEWnR6vpTFYR2JQslqkREJJRcLnC7VVElIhIqXi/U1MRhtXojHUrMU6JKRFqsWreJJb9kAjAghI3UQYkqEREJLV9FlZqpi4iEhssFtbUmEvSFQMQpUSUiLdaq3zKoccSTkeLiqPZVId1Xp07GeVmZcRIREQkm4wOUElUiIqHidO5JVMXgFOtoo0SViLRYiwuzAeifvxtziN/tUlIgJ8e4vHFjaPclIiKxp7bWmJYS6uOZiEiscjrB7dH7bDTQUyAiLdbiwlZA6PtT+Wj6n4iIhIrLFekIRERaNr3PRg8lqkSkxfJVVA1QokpERJq52tpIRyAi0rLZ7RCnDElU0NMgIi3Srqok1henAdC/oCws+1SiSkREQsXpBJOWSxcRCQmvF6qrIT5eK/5FAyWqRKRFWrGxHQBHdagkKzU8dbxKVImISKjYbBCvlahEREKittaY+qdEVXRQokpEWqQfNrYFwtefCpSoEhGR0LHbteKfiEio+Fb8i1OiKiooUSUiLdLyIqOiKlz9qUCJKhERCR27XRVVIiKh4nSC260eVdFCT4OItDi1bhM//ranoqpH+BJVnToZ52VlxklERCQYamuNkyqqRERCw+k0+lRJdFCiSkRanJ83pVPjtJCe5KJnh8qw7TclBXJyjMsbN4ZttyIi0sL5ElWqqBIRCQ1Nr44uSlSJSIuzuLAVAH27lWIO87ucpv+JiEiwuVzGlBQlqkREQqO6GhISVFIVLZSoEpEW59vCbAD65+8K+76VqBIRkWDT1D8RkdBxuYypf/oyIHooUSUiLc53eyqqBhSUhn3fSlSJiEiwuVzg8ShRJSISCi6XcVKiKnqE9Kmoqalh27ZtVFVVkZWVRZs2bbBaraHcpYiE0Y5yCwtXtsLjNYV0P17vnhOmg1wGr9f42Vlr5pdtaQD067aLcOfjlagSEZFgq62NdAQiIi2Xw6np1dEm6E+F0+nkvffeY/78+axcuRK32113W1xcHH379uXss89m+PDhWCyWYO9eRMLk8+WtuWzSCeyqjM7X8ZG5u8hOcwHhTY4rUSUiIsHmckU6AhGRlsvljHQEsr+gJqo++OAD/vKXv2C32znttNM4++yzycvLIzk5mfLycoqLi1m2bBmTJ09m+vTp3HbbbVx88cWH3e6WLVsYMmTIAdc/8cQTfj1eRILH44En/9adh98qwOs10bVtNR1ybCHfrwkwmbyYTL7Le37e9/Ke28ymWi44dnHIY2qIElUiIhJstbXGsU5ERILPbtd7bLQJWqJq9OjRbN++nXHjxnH66acftFrqmmuuwel08o9//IM5c+bw2Wef8fLLLx9y22vXrsVqtbJgwQJM+/wFpaWlBSt8EfHD7qoERk4+jn8sbQPADWdt5LkbV5Fo8UQ4svocDgebNm0COoR93506GedlZcYpMzPsIYiISAtjsxH2VWxFRGJFTQ0kJEQ6CtlX0BJVp59+OhdddFG9RNLBWCwWhg8fzvnnn8/f/va3w96/sLCQLl26kJubG4xQRaQRlq9PZ8RTfdmwPQVrgpsZo1dy3ZmbIh1W1ElJgZwc2LEDNm5UokpERJrOblfvFBGRUKitBYdDiapoE7TvZi6++GK/klT1dm42c8kllxz2fmvXrqVbt26NDU1EmuiVzzsw8N6T2bA9hS5tqln0zFdKUh2Cpv+JiEgw2e1a8U9EJBScWvEvKgXt6Rg0aBAnn3wyJ510Er/73e/Izs4O1qYpLCwkJyeHyy+/nKKiIjp16sQtt9zCoEGDGr1Nmy30PXWiiW+8sTZuaMTYa2qIczqN1Lq/71gOBziduENZNxpgXA6Ho955Y9idZu545Vjm/PtIAM4+fhuvjPmOrFQXTdhsyAU89iA/fx06WFiyJJ7CQic1NcZSTTU14HCYSUjw+r0dux0cDhM1Nf5NrbTZbCQnJzcqZhERiU4eDzid+hAlIhIKTodRVRUfr4UroknQDnnHHXccX375JR988AFms5mCggJOOukkTj75ZI4//vhGr/DndDopKioiKSmJe++9l+TkZObPn8+oUaOYM2cOAwcObNR2i2K01CFWxw3+j91cVUV2cTHu6mo8SUn+PcZmI66yktLCQjypqU2IMrhxAZSUlDRqf5t2pTNm7jB+2twGk8nL7b//hptP/46q3VC1u1GbDDt/xx7s5y8lJQ9oy/Llu1m9ejMAdruJ335LIznZjdXqX7LKSFLF0bp1JYmJ/j2mVatWjQ1bRESikMtlLJuuxbJFRILPl5xSM/XoErRE1bRp0wD49ddfWbJkCUuXLuWf//wns2bNIikpib59+9YlrgKZxmexWFiyZAnx8fF1ya5evXqxfv16Zs+e3ehEVefOnUkK4MN+c2ez2SgqKoq5cUMjxl5eTtyKFUZzoZQU/3ZSXQ1lZeTk50NGRlPCDVpcDoeDkpIScnNzsVqtAe3q0+VtuWbqieyuttAqzcGrt3/HmX22E4nm5I0R8NiD/Pwdf3w8r78OVVWtOOooY9GHmhrYudNMaqqXxET/tmO3Q1WViYICD/4USsVixaSISEtXW2ucVDArIhJ80TxLJJYFvYj4yCOP5Mgjj6zrPbV582aWLl3KsmXLeO+993jmmWfIycnhiy++8HubDU1lyc/P56uvvmp0nElJSTE5RSZWxw0BjN3lMr62tFqNkz9qa43HJCeH7j/JxsQFWK1WvxNVbjc8Ni+fx+fl4/Wa6Nd9N+/ev4yOOTYgsGRXNPB77EF+/vLzjfNNm+JJTt77Nmu1QmIifieqwHjaQ/lnJSIi0c1XUaWpfyIiwVdVpYrVaBTyQ57D4aCmpgabzYbX68VkMgXUdH3NmjVcdtllvPzyy/Tt27fu+lWrVqnBukQFp8vEQ2/2YXNxPPwnCUK1YoQrCYrOMN5J4w/fUdXt9lBT04vk5GTi4vxbN+HX4hQWF2YBcPPZRUy54SesCf71R5K91ExdRESCxVdRpWbqIiLB5XYH1pZYwifoT0lFRQXffPMN//vf//jqq68oKSkhMTGRvn37cvHFF3PyySfTtWtXv7eXn59P9+7dGT9+PI888ghZWVm88847rFixgnfffTfY4YsE7PX/tufZj48yflgayj1ZgO6h3AEASRY3L976IyNP2xzyfbVUnToZ52VlxikzM4LBiIhIs6b+KSIioeF0Gl8ExFhnnGYhaImq559/nv/973+sWrUKt9tNfn4+w4YN4+STT+aEE05odDN1s9nMzJkzmTRpEmPHjqWiooKePXsyZ84cCgoKghW+SKPNXtARgEv7/kL/C9uH7p3OZoPvvze278frqdZdy+7dZWRlZRIf599L3WyGs08oofsR1U2NNqalpEBODuzYARs3KlElIiKNV1sb6QhERFomp9P4MiA9PdKRyP6Clqj6f/buO76psv3j+CdN94BSoEyhCAKyVUBQFERwgPqI6E+fR0B5AAe4ByCogMpQligiCiiICxVFxIk+bpEpIgoypAyxFArdafbvj0MLpQXSNmmS5vt+vfLK6cnJOdedNONcue/rfv7556lRowb33Xcf/fr18+rMU0lJSUyaNMlr+xPxli1741m1NQlzmIuZ/X+k7p39oLqPElVZNnhzE9So4XEx9b1793LGGWeUuZi6VFxKipGoSk2F9u39HY2IiAQrTZcuIuIbNptxrR6rgcezwjUe6NmzJzabjenTp3PLLbfw9NNP8+OPP2IrfPZFqqAFK43eVH3P2U/d6ppxTY5RnSoREfEGq9Xo8RzK5syZw8CBA4ut27JlCwMGDKBDhw706NGDBQsWFLvd5XLx3HPPcdFFF9G+fXv++9//snv37soMW0QCnGb8C1xe+9ibM2cOq1evZtGiRfTs2ZPVq1czdOhQOnfuzJAhQ1i4cCE7duzw1uFE/M5mN/Ha1w0BGNLjLz9HI4FGiSoREfGGgoLQLqS+cOFCnnvuuWLrjhw5wuDBg0lJSWHp0qXcfffdzJo1i6VLlxZtM2fOHN5++22eeuoplixZgslkYtiwYfoRXUSK5OdDhK8mwpIK8Wox9fDwcDp37kznzp154IEHOHToED/88AM//PAD8+bN4+mnnyY5OZlu3boxceJEbx5apNKtWFuHg1lR1K1RQJ9z/oFsf0ckgUSJKhER8YaCgtCckerAgQOMHTuW9evX06RJk2K3vfPOO0RGRjJ+/HjCw8Np2rQpu3fvZt68efTv3x+bzcYrr7zCww8/TPfu3QGYOXMmF110EStXrqRv377+aJKIBBCn0ygBHIrvr8HApx2Ja9WqxbXXXsv48eOZNm0a//rXvzh8+DDvv/++Lw8rUikKi6jf0nMv4Wa3n6ORQKNElYiIVJTbHbpTp//+++9Ur16d5cuX0/6EYo/r1q2jU6dOhB/3wHTp0oVdu3aRkZHB1q1bycvLo0uXLkW3V6tWjVatWrF27dpKa4OIBC673ZisQj2qApNPPvb+/vtvNmzYUHTZsWMHJpOJs88+m//+97907drVF4cVqTR/Z0Tz2YZkAP7ba6+fo5FApESViIhUlMMRuidSPXv2pGfPnqXelpaWRvPmzYutS042vpft37+ftLQ0AOrVq1dim3/++ccH0YpIsCmc8S9BM/4FJK8lql577bWixNTBgwdxu900adKErl27cvfdd3P++eeTkJDgrcOJ+NXCr87A5TJxUasMmjfIgzx/RySBpnFj4zoz07hERvozGhERCUZ2uzE8JTra35EEloKCAiJP+GAtnOHYarVisRgT3JS2TVZWVoWOXbjvgJGfj9lm82nXO+vRitNWTytPW61gs+EM8gJAhc91wD3nlaDKtP0Ur4/cXLDZTDjsx0bG2I9Os2r34XSrYXYrEXY71gILznDPThDMBRYcdjt2uxWX2bPXud1uwmp1e1ww3mqzEUjzxHvt3WzSpEnUrl2brl270rVrVy644ALq1Knjrd2LBAyXC1758gwAhvTe4+doJFDFxUHt2nDwIOzeDWed5e+IREQk2BT2qArFoX+nEh0dXaIoemESJTY2luijmT2bzVa0XLhNTExMhY6dGmBdpcNyc0lKS8OZl4ergm07nfT0dM9islgw5+RweNs2XPHxPo2pMgTac16Zgr3tp3p9HDwYQUZGBE6ns8T9Dh8+4rOYzFYLUfnZ7N69B3usZx15IvJzMGVkYLXYcUZ51kMiM9NMXJyVvLyS7StNmMVCIHUu89rH3ooVK2jWrJm3dicSsL7dXJO/0uJIiLFz/YXqPi4nl5JiJKpSU5WoKq/MzExmzJjBN998Q25uLi1atODBBx+kY8eOgDE9+cSJE9m8eTOJiYkMHDiQIUOG+DlqERHvKKyhEsqz/pWmbt26JZImhX/XqVMHh8NRtK5Ro0bFtmnZsmWFjp2SklLhZJdXZWVh3rgREhONX8l8wGq1kp6eTnJyclHPtVPKy4PMTGo3bw7Vq/skpspgsVhITU0NvOe8ElSZtp/i9VGY6z7+X9Rut3P48BGSkmoQ4aPegGEFeUTkROBu3AhnvGevD3NuFrW21cSeUB1XtGev8/BwE/XquUlK8iwu6xHfJefKw2uJqiNHjpSpOGGnTp28dWiRSrVgpfGF5z/d/yYu2rMMtYSmlBRYu1Z1qirigQceICMjgxkzZpCUlMSbb77JkCFDeP/990lKSmLw4MH06tWLCRMmsHHjRiZMmEBiYiL9+/f3d+giIhXmcBgF1cN8Ov1R8OnUqRNvv/02TqcT89Es3qpVq2jSpAk1a9YkISGB+Ph4Vq9eXZSoys7O5o8//mDAgAEVOnZMTAyxsbEVboPX2O1GfYGoKOPiQ1FRUZ4lqhwOI6bYWOMS5ALuOa9EQd/2k7w+XC7j3zQ2tvTyHBEREURG+ub1FOZ0YI6IICo6Ble0Z0nAMIeN8IgITBFRuDyMKyKijG8LAVanxGuJqoEDB2IymYr+druPjfU8cb3JZGLLli3eOrRIpcnMDWfpKqMwp4b9yemooHrF7N69mx9//JG33nqLc889F4CxY8fy3XffsWLFCqKjo085PbmISLDzYZmUoNa/f3/mz5/P2LFjGTp0KJs2bWLRokVMmDABMGpTDRgwgGnTppGUlESDBg2YOnUqdevWpXfv3n6OXkT8rbC3qur/BS6vJaoiIiKw2+20atWKvn370rZtW2/tWiRgvPldAwpsZto2zqZjs4oV45SqT4mqiqlRowYvv/wybdq0KVpnMplwu91kZWWxefPmUqcnf+mll8jIyKBmzZr+CFtExGuOjmCTE9SsWZP58+czceJE+vXrR+3atRk5ciT9+vUr2uaee+7B4XDw6KOPUlBQQKdOnViwYEGJAusiEnpsNuNSBUqoVVleS1StWrWKlStX8vHHHzNz5kzq169P37596du3r2pXSZVROOxvSO89HNdRUKRUSlRVTLVq1ejevXuxdZ9++il79uyhW7duzJw585TTk1ckURX0s9yUUZWZ3accArLtgTiLVxUSTDOYZWWZsNlMFBS4S9xmtZqwWNzk55e8rTQWiyVoh/BMmTKlxLp27dqxZMmSk97HbDbz8MMP8/DDD/syNBEJQoX1qTSsOnB57dtPfHw8/fr1o1+/fmRmZvLZZ5/xySef8NJLL9GsWTOuuuoq+vTpQ8OGDb11SJFKtfGvamzYmUhkuJMBPfb5OxwJAkpUedf69esZM2YMl156KT179mTy5MmnnJ68IoJ9lpvyCtV2Q2C1PRBn8aqKgmEGs+3bo0lLi8RmK9m16sCBCCIiCrDbPX+/U09TERHj9wcJbD75mS4xMZGbbrqJm266ifT0dD777DM+/fRTnn32Wdq1a0ffvn0ZOHCgLw4t4jOFvamu7ZJGzWoqGiGn17ixcZ2ZaVyk/L788kseeugh2rdvz4wZM4DTT09eEUE/y00ZVZnZfcohINseiLN4VSHBNINZbq6JmBioVavkbZGRJpo2ddOsmec9qkREBCwWzaYa6HzTn/w4ycnJDBo0iL59+7J48WLmz5/Pr7/+qkSVBJUCWxhvfNsAgCG99/o5GgkWcXFQuzYcPAh7VHu/3F5//XUmTpxI7969mTZtWlEvqtNNT14RQT/LTTmFarshwNoeiLN4VUHBMoNZXFzpBX+joiAmpkpMqiYiUmlcLsjPD7hJ7uQEPk1UHT58mC+++IJPP/2UdevWERkZSa9evejTp48vDyvidR+sqsuR3Ega1c6nV/uD/g5HgkhKyrFEVbVq/o4m+Lz55ps8+eSTDBw4kDFjxhB2XDGB001PLiISzBwO46Jf/UVEvMduNy7++o3mjdXNmPVla+wvRIGnNY/dCZjsgzGKJHt2p6Q4K8vH/kxSUkG5Y/Unryeqjhw5Uiw5FRYWxsUXX8zUqVO55JJLAqdbvUgZLPjSGPY3+NK9KronZZKSAmvXwu7doMlQy2bXrl1MmjSJ3r17c/vtt5ORkVF0W3R09GmnJxcRCWaFiSr1mBIR8Z7CRJWPRtaf1qs/NScjv6w5kTCglK61p5BrDedIbgQQ4omqd999l08//ZQ1a9ZgMpm48MILmThxIpdeeinxmvdRgtiutBi++rU2JpObwb007E/KprCguhJVZff5559jt9tZuXIlK1euLHZbv379mDJlymmnJxcRCVZ2Ozid6lElIuJNViu43f55bz2SF8GuQ8YQi9dfyiG6ZoJH9wvLz6H69ytwxVXDFe1ZkstdYKP1GcFbV9lriarHHnsMs9nMueeeS69evahevTput5svv/yy1O2vvfZabx1axKde/croTdWr/SEaJ6sQqZRNYaJKNarK7o477uCOO+445Tanm55cRCRYFfaoCvd5RVkRkdBh92Pu5tfdNQA4M+kIrVqE4fKwP09Yroukmpk4E0y4Ylwe3efQofJGGRi8+tHndDpZu3Yta9euPeV2JpNJiSoJCk4nvPrVGQAM6a1Mg5Td8T2qREREPGW3G0V/1aNKRMR78vP99776y9FE1Tn1DwD1/BNEkPBaouqrr77y1q5EAsYXG5PZdyiGpAQb13ZJ83c4EoTUo0pERMrD4fB3BCIiVYvbbSSqIiL8c/yNqUai6twGSlSdjtcSVQ0aNPDWrkQCxoKVRm+qAT32ERXhWTdLkeM1bmxcZ2ZCbi4keDYUXUREQpw/h6eIiFRFhYXU/ZGocrrg1z2JAJzbQB0gTsdr85fdfPPNbNmypUz3+e233/j3v//trRBEvOpgdhTL19QFYEgvdYeR8omLg9q1jeX0dP/GIiIiwcPhODoTuYiIeIXNBnaHfxJVO9ISyLNGEBdpp3mtI5UfQJDxWo+qQYMGMXToUNq0acM111xDz549iYkpWZE+NzeXH374gSVLlvDHH38wbtw4b4Ug4lWLv0/B7gijY7NM2jXJ8Xc4EsRSUuDgQThwwN+RiIhIsLBYIMxrPymLiIjNBi4/zaZaWJ+qXcPDmMPclR9AkPFaouryyy+nU6dOzJkzh0cffRSHw0GzZs1o2LAhMTExZGdnk5aWxvbt2wkPD+eGG25g6tSp1KpVy1shiHiN2w0Lvj4TUBF1qbiUFFi7VokqERHxnNWqGf9ERLzJ5sch1b8crU91TqMgn46vknj14y8pKYlHH32UESNG8Pnnn7N69Wr27t1LTk4ONWrUoGnTpgwaNIhLLrmEGjVqePPQIl61OrUOf/xdnZhIJ/+++G9/hyNBrrCguhJVIiLiKYtFM/6JiHiTJR/C/PS+uvFoj6pzz1CiyhM++Z2mRo0a3HTTTdx0002+2L2Izy34qSUA11+4n+pxmnZHKkaJKhERKQuXyyj4qx5VIiLeUTTjnx/eVzPzIvgr3ZhRqf0ZGaA5uk5LI99FTpCbC2+vawbAkN57/RyNVAVKVImISFnY7UYxdfWoEhHxDofDqFHlj0Lqv+4xelOl1M4lKc5W+QEEISWqRE7w7rIIcq2RNKubw8WtM/wdjlQBhYkqzfonIiKecDiMi3pUiYh4h81mvK/6I1FVVJ+qsWb785QSVSLHcblg9rwoAP7b/S9NCy1e0bixcZ2bCzmaQFJERE7DbgenU4kqERFvsdmM91V/zvjXIUWJKk/p40/kOO+8Axt+NZMQbWNoz7/QS0S8IS4OatWCQ4dg+HCIivLsfiYTXHcdXHyxb+MTEZHAUtijSkP/RES8w+anEXdOF/y6OxGADupR5TGfnIXv37+f+vXr+2LXIj5js8HYscbyyN6/ULuaFSWqxFvOPRe++AJ27Srb/Vat8k08IiISuOxHp1BXz24REe8oKIAwP4wn23kggTxrBLGRDprXzQGVqPKIT87CL730Urp06cJ1113HZZddRpSn3QdE/Oill+Cvv6BuHRf399wEJPg7JKlCXnsN5s83elNFRnp2H5cLmjTxbVwiIhJ4HJpwWETEq/Ly/Fufql2jTMLN7soPIEj5JFE1bdo0li1bxujRo5kwYQJ9+vThuuuuo0OHDr44nEiFZWfDE08Yy+NHW4mL0jdE8a6EBDjvPOM6Otqz+xQUqKaViEgoKuxRJSIiFWe3+2/Gv8L6VOeoPlWZ+KTzW9++fZk3bx7ffPMNt99+Oxs2bOCmm27iiiuu4OWXX+ZAOedo37VrF+eccw7vv/++lyOWUDdtmlE/qHlz+O8A9ccUERER/7HZ/DNERUSkKrI7jGSVPyao2Hg0UdVe9anKxKcfgbVr12bYsGGsWLGCDz74gOTkZGbOnEnPnj258847Wb9+vcf7stvtPPTQQ+Tn5/swYglF//wD06cby5Mn+yfTLiIiIlLIYlEhdRERb7Ha/DOTalZ+BDsPGOVkVEi9bHz+W826det47LHHuPXWW1m3bh0XXnghY8aMweFwMGDAAF599VWP9vP8888TFxfn42glFE2YAPn50KUL9Ovn72hEREQk1Fmt/vnlX0SkKnL4acBM4Wx/jWvlUjNeo3bKwicfgbt37+bDDz9k+fLl/P333zRo0IBBgwbRv39/6tatC8DNN9/MQw89xIsvvsjgwYNPub+1a9eyZMkSli1bRo8ePXwRsoSoP/80ClwDPPOMZtcRERER/3K7jRqFSlSJiHhHgdU/53mqT1V+PvkIvPzyy4mKiqJXr148+eSTdO3atdTtzjzzTFJTU0+5r+zsbEaOHMmjjz5KvXr1vBajxWLx2r6CQWF7Q63dcOq2jxoVidMZTp8+Ds47z0Z+PpCfj9lmK9vPmVYr2Gw48/N9N3awjHFZrdZi16GkzG2vhOcvPx+s1jAiIjyf7aOgAKxWE/n5Lo+2t1gsxMbGljdEEREJAA6Hf4aoiIhUVfl+mvGvsD6Vhv2VnU8+Ah977DGuueYaEhISTrnd8OHDGT58+Cm3GT9+PB06dODqq6/2ZoinTZBVVaHabijZ9k2b4vjww5aEhbm55ZY/2bKlAICw3FyS0tJw5uXhionxaN9hFgvmnBwOb9uGKz7e26GXOy6A9PR0n8QTDDxte2U8fwUFJvbsSSA21klUlGfJKiNJZaZWrRyioz27T82aNSsSpoiI+JndbiSroqL8HYmISPBzOMFmh4hK/i3X5YJflagqN58kqj7//HO6dOlSaqJq69atPPzww3z00Uen3c+yZctYt26dR9uWVUpKCjFlONkPdhaLhdTU1JBrN5Tedrcb7r3X+AY4YICTq65qcuwOWVmYN26ExETwtC5aXh5kZlK7eXOoXt27DShnXFarlfT0dJKTk4kKsW+7ZW57JTx/+flw6FAY8fFuoqM9u09BAeTmmmjRwoUnHaVCscekiEhV43AYF/WoEhGpOLsDHHaIruT31J3p8eQURBAb6aBFvZzKPXgV4LWna926dbjdxi/+a9asYe3atRw+fLjEdl9//TV79+71aJ9Lly4lIyOjRF2qcePGsWDBAj7++ONyxxsTExOSQ2RCtd1QvO0ffQQ//gjR0TBxYjixsce9FOx2iIw0fsr0NMHjcBj3iY3Fo4xCeZQnLiAqKirkElWFPG57ZTx/GE9bdDQeJ6rAeNp9HJaIiASQwh5VmvVPRKTi7Db/JP9/SU0CoO0ZmYSbPS/9IQavPV3vvfcey5Ytw2QyYTKZmDBhQoltChNZV111lUf7nDZtGgUFBcXWXXbZZdxzzz306dOn4kFLSHI6YfRoY/nee6FhQ//GIyIiIlLI4TB6fof5fG7u4Ge325k9ezYffvghWVlZnH322Tz00EOce+65AGzZsoWJEyeyefNmEhMTGThwIEOGDPFz1CJSmex247qyi6lvPDrjn4b9lY/XElVjx47luuuuw+12c8stt/D444/TrFmzYtuEhYVRrVo1zjrrLI/2WadOnVLX16xZkwYNGlQ4ZglNixbBH39AUtKxhJWIiIhIICg8qZLTe/HFF1m6dClTpkzhjDPOYN68eQwbNoxPPvmEyMhIBg8eTK9evZgwYQIbN25kwoQJJCYm0r9/f3+HLiKVxGbzz3ELe1Rpxr/y8VqiKiEhgc6dOwPw2muv0bp1a+I8re8jUkny8+Hxx43lsWONck8iIiIigcLh8HcEweOrr77iqquuolu3bgCMHj2ad999l40bN5KamkpkZCTjx48nPDycpk2bsnv3bubNm6dElUgIsVggIrJyj5ltCWfHAaNet3pUlY/XElXLli2je/fu1KhRg/3797N///5Tbn/ttdeW6zh//vlnue4nAvD88/D339CoEZxmwkkRERGRSmezVf4QlWCVmJjI119/zYABA6hXrx5LliwhMjKSs88+m/fee49OnToRflxhmi5duvDSSy+RkZGhWXJFQoDDYbynhpec482nCmf7O6NmHjUT/NSlK8h5LVE1evRo3nnnHWrUqMHo04ynMplM5U5UiZRXRgZMnmwsP/VU2Qpai4iIiFSGggLN+OepsWPHcv/993PppZdiNpsJCwtj1qxZNGrUiLS0NJo3b15s++TkZAD2799f7kRVwM2wm5+P2WYDq9Vn/zhWq7XYtQd3AJsNZ34+RET4JKbKUPhcB9xzXgmqStvzjuRTUGDHHG/FZjv968N+dOy1vYJjsNf/ZWTG2p9xCJut+OsmzG4lwm7HWmDBGe5ZVy9zgQWH3Y7dbsVl9ux1brebsFrdePyytdkIpOm3vPZu9tVXX1G7du2iZZFAM21aBFlZ0L493Hyzv6MRERERKcli0Yx/ntq5cyfVqlXjhRdeoE6dOrz77ruMGjWK119/nYKCAiIji58EFs4E7HHCpRSpqakVCdnrwnJzSUpLw5mXhysmxqfHSk9P9ywmiwVzTg6Ht23DFR/v05gqQ6A955Up2NuetceCIz2TaLMdZ36ex/c7fLhiw/XWbDdKIp1ZYzcHDhR/3ZitFqLys9m9ew/2WM+6ekXk52DKyMBqseOM8qwdmZlm4uKs5OU5Pdo+zGKhmkdbVg6vJaqOL27eoEEDMjMz2bhxIz169ABg7969fP3111x77bVUqxZID4GEgn/+iWTuXOPffcoUzaQjIiIigcmHHWOqlL///puHH36YhQsX0rFjRwDatm3Ljh07eP7554mOjsZ2QhXlwgRVbGxsuY+bkpJCjI8TQmWSlYV540aj8KqP6gNbrVbS09NJTk4uSvadUl4eZGZSu3lzqF7dJzFVBovFQmpqauA955WgqrR9R342tqQNxCdXxxV9+teH3W7n8OEjJCXVIKKcvQFdLth6oC4AF7WxUadOcrHbwwryiMiJwN24Ec54z14f5twsam2riT3Bs3YAhIebqFfPTVKSZ3FbjwRWLS2ffAzu2LGDW2+9lcjIyKJE1d9//83UqVN57bXXWLhwIQ0bNvTFoUVK9eKL9bHZTPTsCZdf7u9oREREREpyOIxZ/9Sj6vQ2bdqE3W6nbdu2xda3b9+e7777jvr165foAVT498lmFvdETExMhRJdXme3Q2QkREUZFx+KioryLFHlcBgxxcYalyAXcM95JQrmtrtckJ1tJyk2gsiIKFyRnr8+IiIiiCzD9sfbnhZPTkEk0RFOWjcqIMJcfD9hTgfmiAiiomNwRXuWBAxz2AiPiMBUhnZERJTxbSGykivOn4ZP+pU888wzNGjQgCVLlhSt69KlC99++y21atVi6tSpvjisSKk2bTLx6adGKvnpp1WgVERERAKTwwFOp3pUeaJevXpAyYmWtm3bRuPGjenUqRPr16/H6Tw27GXVqlU0adJEhdRFQkB2ttG5z8f52xI2Hi2k3vaMTCLM7so9eBXik0TVxo0bGTFiRFHNqkJJSUncfvvtrF692heHFSnV449H4nabuP56B0d7houIiIgEHLvdSFapR9XptWvXjo4dOzJq1Ch+/vlnUlNTefbZZ1m1ahW33XYb/fv3Jzc3l7Fjx7Jjxw7ef/99Fi1axO233+7v0EWkEmRnH53xr5IT/xtTjUTVOSmHK/fAVYxPnjaTyUReXulFvmw2W4Wr6It46n//g5UrzZjNbsaNs+Ojf3kRERGRClOPKs+FhYUxZ84cnn32WR555BGysrJo3rw5CxcupEOHDgDMnz+fiRMn0q9fP2rXrs3IkSPp16+ffwMXkUqRnu6f0Wy/7C5MVAVWzadg45OPwfPPP585c+Zw/vnnk3Rc9a7Dhw8zd+5czj//fF8cVqQYlwtGjjSW+/c/yJlnBv+sIyIiIlJ12e1Goko9qjxTvXp1xo0bx7hx40q9vV27dsVKkYhIaLBY4PBhn80vcFI5lnB2HDBm8uvQWImqivBJourhhx/m+uuv59JLL6VDhw4kJSVx5MgRfvnlF6KiopgxY4YvDitSzLvvwvr1EB/vZujQf4Cz/B2SiIiIyEk5HKqlKSJSUVlZkJ8PtSp50slf9yTidptomJRHrQTb6e8gJ+WTGlVnnHEGK1as4KabbiI/P5/NmzeTnZ3NjTfeyLJly2jSpIkvDitSxGaDsWON5fvvt5OU5PBvQCIiIiKnYbeDW7V3RUQq5MgRI+lv8km24+R+SdWwP2/x2Qj42rVrM2rUKF/tXuSUXn4Zdu6EOnXgrrsc7N3r74hERERETk09qkREKsbpNOpTVfawP4CNu42yR+do2F+F+SxRlZaWxoYNG7DZjnV5c7lcWCwW1q1bx8yZM311aAlx2dnwxBPG8vjxEK/SVCIiIhIELBYIq+QeACIiVUl2NuTkQK1agLXyjutywcbdiQB0UI+qCvNJourTTz/l4YcfxuFwYDr6s5Db7S5aPvPMM31xWBEApk+HgweheXMYMsToRi8iwW/OnDmsWrWKxYsXF6175JFHeP/994ttV6dOHb777rvKDk9EpMKsVs34JyJSEVlZxvlfRASVmqjadTCebEsk0RFOWtbPrrwDV1E++Sh86aWXaNWqFePHj+eNN97A4XBw22238e233zJz5kzGjBnji8OKkJZmJKoAJk0y3qCUqBIJfgsXLuS5556jU6dOxdb/+eef3HHHHQwYMKBonVnTZYlIkLJYPJvxLzMTPvwQ6tb1eUgiIkElPR2ioir/uL/sNupTtTkjkwizig1WlE8SVbt27WLatGm0atWKrl27Mn/+fJo2bUrTpk3JyMhg7ty5XHjhhb44tIS4CRMgLw+6dIHrrvN3NCJSUQcOHGDs2LGsX7++xEQcTqeTHTt2MHz4cGrXru2nCEVEvMPlMn5c86RH1RtvwKuvQmIinH++z0MTEQkK+flGIXV/lH7ZWFhIXfWpvMIno+DDwsJITEwEICUlhb/++guXywXARRddxI4dO3xxWAlx27bBvHnG8tNPqxipSFXw+++/U716dZYvX0779u2L3ZaamorVaqVp06Z+ik5ExHvsdqOYuic9qrZsMa6Tknwbk4hIMMnKMnqmxsZW/rELZ/zroESVV/ikR9WZZ57J+vXr6dSpEykpKdjtdrZs2ULr1q3Jzs4uVmBdxFvGjDFmebjqKrj4Yn9HIyLe0LNnT3r27Fnqbdu2bcNkMrFo0SK+++47wsLC6N69O/fddx8JCQkVOq7FYqnQ/YNNYXtDrd0QoG3Pz8dss/m0YJHVai12HUrK3HarFWw2nPn5R4ue+EZeHuTnh2E2uykoOPW227dHAyZSUgrIz3d5tH+LxUKsP87eREQqyeHDRmeFyu6wkFMQzvYDxnfPc1RI3St88u3npptuYty4ceTn5/PAAw9w/vnnM2bMGK6//npef/11Wrdu7YvDSgj7+WdYutSYKWfKFH9HIyKVYfv27YSFhdGgQQPmzp3L7t27efrpp9m2bRuLFi0irAJTZ6Wmpnov0CASqu2GwGp7WG4uSWlpOPPycMXE+PRY6enpPt1/IPO07WEWC+acHA5v24bLh+NJcnLM7NoVR2Ki45T5yZwcMxkZzY3Ywv5iyxbPk6w1a9asaJgiIgHJ4TDqU/lj2N+mPYm43SYaJuVTu1ro/QDkCz5JVN1www3YbDb27dsHwBNPPMFtt93GxIkTadCgAWPHjvXFYSVEud0wapSxfOutoDyoSGi4++67ufXWW6lWrRoAzZs3p3bt2tx444389ttvJYYKlkVKSgoxPk4QBBKLxUJqamrItRsCtO1ZWZg3bjQKEMXF+eQQVquV9PR0kpOTifJH1Vk/KnPb8/IgM5PazZtD9eo+i+vQIThwIIwGDdyn7A2wYYORhK9Tx0WbNk1o1syzor0B1WtQRMTLsrMhNxeSkyv/2IXD/tpr2J/X+GwC3JtvvrlouVGjRnz66accOXKEJA2mFy/7+GP47juIjjaKqYtIaDCZTEVJqkLNmxu9DNLS0iqUqIqJiQnJITKh2m4IsLbb7RAZaUxb5OMkUlRUVMglqgp53HaHw3g+YmN9WvgkIsJ4uk+XL92zx7hu3Djs6P+tz0ISEQkaWVlGGRgfjZg/JRVS9z6fPo3ffvst69evJysri1q1atG1a1clqsSrnE4YPdpYvvdeaNjQv/GISOV58MEHyczMZMGCBUXrfvvtNwCaNWvmr7BERMrF4fCsrkrhnESNG/s2HhGRYOF2w4EDPv9tp1QuF2zcfTRRlXK48gOoonySqMrMzGTYsGH89ttvhIeHk5iYSGZmJnPmzOGiiy5i9uzZREZG+uLQEmJeew1+/x1q1Dg2/E9EQsNVV13FnXfeyYsvvkjfvn3ZtWsXTzzxBFdddZVmAhSRoGO3Gydbp6NElYhIcfn5Ro8qf9SnSj0UR5YlkqhwJy3rZ1d+AFVU+SvNnsKkSZPYs2cPs2fP5rfffuOHH35g06ZNzJo1i19//ZWZM2f64rASYiwWePxxY3nsWCNZJSKh45JLLmHWrFl88cUXXH311YwdO5bLLruMSZMm+Ts0EZEys9mMSWFOxeWCnTuNZSWqREQMWVlGssofpSYL61O1OSOLyHDPagbK6fmkR9W3337LQw89RK9evYrWhYWFcdlll3H48GFmz57NKHV/kQp6/nnYtw8aNYIRI/wdjYj42pRSpvS8/PLLufzyy/0QjYiId1ksYDafepv9+43tIiOhfv3KiUtEJNBlZBjvn54Mn/a2X1KN0kYdGmvYnzf5pEcVQK1atUpdX69ePfLz8311WAkRhw/D5MnG8pNPGoXURURERIKV1Xr6IsCFw/5SUk6f1BIRCQV2Oxw86LNJck/rWH0qFVL3Jp8kqvr168eLL75IXl5esfUOh4PXX3+dfv36+eKwEkImT4bMTGjXDo6bYFJEREQk6LjdUFDgeaJK80WIiBiysyE31z/1qXILzGxLSwCgg2b88yqfDP2Ljo4mNTWVnj170rNnT5KTkzly5Ag//PADaWlpVK9enUceeQQwphdXPREpiz17jGF/AE8/rV8URUREJLg5HJ5Nq16YqDrrLN/HJCISDLKyjPp9p3v/9IV3VzfG7TbRMCmfOtWtlR9AFeaTp3P58uXEH01prl69uthtdevWZcOGDUV/m/wxkFSC2mOPGd3jL7kEVJpGREREgp3dbiSrTje1unpUiYgc43ZDWpp/iqjvOxzDzE9bAHD7pdsrP4AqzieJqv/973++2K0ImzbB4sXG8jPP+KdgnoiIiIg3FSaqIiJOvo3VCnv3GsvNmhl/i4iEsrw8Y+hfZQ/7c7vh8XfbYbGF0+nMDP7v/D2VG0AI8Fkx9VPZWTivrkgZjR5tvDHceCN07OjvaEREREQqzmYzklWnKmewa5cxPLB6dTjJnEUiIiElK8uYCbWye1Qt39CA7/9MJjLcyVP/9ythfsmqVG0+6VGVmZnJjBkzWLt2LXa7HbfbDYDb7SY/P5+srCy2bNnii0NLFfb11/Dpp8b446ee8nc0IiIiIt5htxvXp+opXjjsr2lT9SgXEQE4dKjya1Mdzo1k4rLWAIzovZ0zk/NOcw8pD5/k/iZPnszSpUtJSUnBbDaTkJBA27ZtsdvtZGdn88QTT/jisFKFud0wcqSxfMcdqs0gIiIiVUdhoupUVJ9KROQYm81IVMXFVe5xJy9vxZG8KJrXzWboJTsq9+AhxCeJqu+//5677rqLF198kZtuuom6devy7LPP8tlnn9GiRQt27NATKmXz7ruwbp0x/vixx/wdjYiIiIj3WK2n7yWlRJWIyDHZ2ZCbW7mJqu+31mbZujMwmdxMvPFXIsPdlXfwEOOTRFV2djbnnXceAGeddRabN28GIC4ujv/+97988803vjisVFF2O4wZYyw//DAkJ/s3HhERERFvys8//fCVwkTVWWf5Ph4RkUCXmWmMuqmsoX/5VjOPv9cOgIHddtGhcWblHDhE+SRRVaNGDXJycgBo3LgxGRkZHDlyBIA6depw4MCBMu0vIyODhx9+mC5dunDOOedw2223qVdWCHn5Zdi5E+rUgQce8Hc0IiIiIt51ukRVZqYxxAXgzDMrJSQRkYDldkNaWuUWUZ/1WQv2HY6lfo187r9ya+UdOET5JFHVtWtX5s6dy759+2jYsCGJiYm8//77AHz99dfUqFGjTPu788472bt3L/PmzeO9994jOjqaW2+9FYvF4ovwJYDk5MCECcbyuHGVP/WoiIiIiC+5XFBQABERJ9+m8PfZBg0qvx6LiEigyc01zhMr69zwt73VWfid8SvBE9f/Rny0s3IOHMJ8kqi69957ycjIYPTo0ZhMJm677TamTp1K586dWbhwIf379/d4X0eOHKFhw4Y8+eSTtG3blqZNmzJ8+HAOHjzI9u3bfRG+BJDp0+HgQWjeHIYO9Xc0IiIiIt5ls4HDceoeVcfP+CciEuqysowEf3S0749ld5oYs6Q9LreJq87ZR/ez031/UMEnIzobNGjAJ598QmpqKgCDBw+mVq1abNiwgXbt2tGvXz+P91WjRg1mzJhR9PehQ4dYsGABdevWpZmqSVZpaWkwbZqxPGnSqX9pFBEREQlGdruRqDrV95ydO41rffUVETGGQlfWueEr3zRl6/7qJMbaePTa3yvnoOKbRBVAdHQ0LVu2LPr76quv5uqrr67QPh977DHeeecdIiMjefHFF4mNjS33vkJt2GBhe4Op3Y8/HkFeXgSdOjm54gor+fnl20+Z256fj9lmM6bg8bQ6n9UKNhvO/HzfvWuWMS6r1VrsOpSUue2V8Pzl54PVGkZEhOezgxQUgNVqIj/f5dH2FoulQu+LIiJS+Ww2I1l1qo/2wkEESlSVtGzZMl5++WX27t1Lo0aNuOuuu7jyyisB2LJlCxMnTmTz5s0kJiYycOBAhgwZ4ueIRaQirFYjUVUZw/5SD8bx/OfNAXjkX79TM8Hm+4MK4OVEld1u54033qBevXpcfvnlReudTifXXHMN//rXvxg6dChhYeUbcXjLLbdw44038tZbbzFixAjefPNNWrduXa59Ffb2CjXB0u7du6N45RXjuR06dAdbt+ZWeJ+etj0sN5ektDSceXm4PKzQF2axYM7J4fC2bbh89K5ZnrgA0tNDt3uqp22vjOevoMDEnj0JxMY6iYryLFllJKnM1KqVQ3S0Z/epWbNmRcIUEZFKZrcbhYFP9vXY5VKPqpP58MMPGTNmDKNGjaJHjx6sWLGCBx54gLp165KSksLgwYPp1asXEyZMYOPGjUyYMIHExMQylSERkcCSnQ15eVCvnm+P43bDY++2w+owc0Hzg/TruM+3B5RivJaostls3Hnnnfz0008MGTKkWKLqyJEjREVFMWPGDDZs2MDs2bMJL8c8koVD/Z588kk2btzI66+/zuTJk8sVb0pKCjGVOU2An1ksFlJTU4Om3RMnRuJ0mrjiCicDBpxRoX2Vue1ZWZg3boTERM8rlublQWYmtZs3h+rVKxKu1+KyWq2kp6eTnJxMVFSUb2IKUGVueyU8f/n5cOhQGPHxbo/H0xcUQG6uiRYtXHjSUSqYekyKiIjBdpof6PfvB4vF6PDbqFHlxBQM3G43s2bN4pZbbuGWW24BYMSIEWzYsIE1a9awZs0aIiMjGT9+POHh4TRt2pTdu3czb948JapEglhmppFEMpt9e5z31pzBzztqER3h5MkbNmEy+fZ4UpzXElVLlixh3bp1zJw5kyuuuKLYbbVq1eL9999nxYoVjB49mvfee4+bbrrJo/1mZGSwatUqrrzySsxH/xvDwsJo2rRphXqKxMTEhOQQmWBo9+rV8MEHxi+LU6eavRavx2232yEyEqKijIsnHA7jPrGxeJRRKI/yxAVERUWFXKKqkMdtr4znD+Npi44uW+FHu93nYYmIiB/Z7ae+vbCQepMmnlckCAV//fUXf//9d4nSIgsWLABg2LBhdOrUqdiP4126dOGll14iIyNDPZBFgpDLZdQx9vX34oM5UUxZ3gqAe6/YSqOa5axBI+XmtY+7Dz74gFtvvbVEkup4V111FRs2bChToio9PZ0HH3yQmjVr0rVrV8AYYvjHH3/Qs2dPr8QugcPthpEjjeVbboE2bfwbj4iIiIgv5eV5NuOfhv0VV1jSIT8/nyFDhvDHH3/QsGFD7rzzTnr27ElaWhrNmzcvdp/k5GQA9u/fX+5EVcD1Xi5PbdUyCsTan5UhGGv8ekugtj0rCw4eDCMx0U1Bwem3NxdYcNjt2O1WXObTvz7sR385mPRhO7ItkbRqcIT/dNmKzeZ5jdnTCbNbibDbsRZYcIZHenSfsrYDwG43YbW68fhla7MRSF0bvPZutnv3bh566KHTbnfxxRfz0Ucfebzfli1b0q1bNyZMmMBTTz1FtWrVmDt3LtnZ2dx6660ViFgC0SefwHffGT1OJkzwdzQiIiIivmWxnDq/oPpUpcvNNeqXjho1irvuuouHHnqIzz//nOHDh/Pqq69SUFBAZGTxk8DCXtYVmWgm0Oq9lreGaXkEUu3PyhRoz3llCrS2p6VF8NdfsdSte5quqEdF5OdgysjAarHjjMrz6D4/7kzhi82NCTO5uLfHSjIOHapIyCWYrRai8rPZvXsP9tgEj+5TnnZkZpqJi7OSl+f0aPswi4VqHm1ZObyWqAoPDy/KQJ5uO1MZBniaTCaeffZZpk+fzn333UdOTg4dO3bkjTfeoH79+hUJWQKM0wmjRxvL99wDZ1SsNJWIiIhIQHO7j9WfOhn1qCpdxNEHbciQIfTr1w+As88+mz/++INXX32V6OhobCcUACtMUFWkrETA1XstT23VMgrE2p+VIdhq/HpToLbdbjfRpImJunU96+Fkzs2i1raa2BOq44o+/evjSI6bWf+7GIBbL95Ot7ZhQHJFQi4hrCCPiJwI3I0b4Yz37PVR1nYAhIebqFfPTVKSZ3FZjxzxbMNK4rVE1VlnncXq1avp3r37KbdbvXo1DRs2LNO+ExISGD9+POPHj69AhBLoFi+GzZuhRo1jCSsRERGRqspuN8oknixRZbXCnj3GshJVxdWtWxegxPC+Zs2a8c0339CgQYMSPYAK/65Tp065jxtw9V7LWcO0PAKt9mdlCbjnvBIFWtvDw41/KU/rvYY5bIRHRGCKiMIVefr/3XnftuBQbjxnJOVy35U7ifTgPmUV5nRgjoggKjoGV7SHM8yXsR1gfK6U6W0h0rNhiJXlJBPhlt2//vUv3nrrLTZt2nTSbX777TfeeOMNrrzySm8dVqoIiwUee8xYHjPGSFaJiIiIVGV2u3E52dC/XbuMHufVqkHt2pUbW6Br1aoVcXFx/Prrr8XWb9u2jUaNGtGpUyfWr1+P03ls2MuqVato0qSJCqmLSAkOp4kPNzQGYNRVvxIT6dmQOfENr/Wouv7661mxYgUDBw7k+uuvp0ePHjRs2BCXy8Xff//Nd999xzvvvEOLFi0YOHCgtw4rVcTs2bBvnzHc7667/B2NiIiIiO/ZbEbnk5Mlqo4f9qep0YuLjo5m6NChvPDCC9SpU4d27drx8ccf8+OPP7Jw4UKaNWvG/PnzGTt2LEOHDmXTpk0sWrSICSqCKiKlWPtXEpn5UVSLtnBRizQgsHoYhRqvJapMJhMvvfQSkyZNYsmSJbz55ptFt7ndbsLDw7nhhht44IEHiC7L3OxS5R0+DJMmGctPPul5V04RERGRYGa3Gz2mTpaoUiH1Uxs+fDgxMTHMnDmTAwcO0LRpU55//nnOP/98AObPn8/EiRPp168ftWvXZuTIkUX1rEREjvfZr0b9627NdhFu9t4sf1I+Xp3DNDo6mieeeIL77ruPn3/+mbS0NMLCwmjQoAFdunQhIcGzqvYSWiZPhsxMaNsWBgzwdzQiIiIileOEWt8lqJD66Q0ePJjBgweXelu7du1YsmRJJUckIsHG6YIvfjPq3l181k4/RyPg5URVoaSkJPr06eOLXUsVs2cPPP+8sTxlCpjN/o1HREREpLKcbsJsJapERHxvQ2oSh3KiSYi2cc4ZfwO1/B1SyPNaMXWR8nj8cWNGmx49QDX2RUREJJRYLBB2km/jmZlw8KCx3LRppYUkIhJyPvu1HgCXtNpPhNnl52gElKgSP/rtN3jtNWP5mWdUJFRERERCi8Vy+kLq9etDXFzlxSQiEkpcLvjiNyNRdVmbv/0cjRRSokr8ZvRocLvhhhugUyd/RyMiIiJSufLyICKi9NsKE1XqTSUi4ju/7kkkLTOGuCgHF5x1wN/hyFE+qVElcjrffAOffGL8ijhxor+jEREREalcDodRo0oz/omI+M/nm4zZ/i5plUZUROUM+3M6wZIPTg+7DZnzjck3HDZweXgfd5BPXKhElVQ6txtGjjSWb7sNzjrLv/GIiIiIVDa73UhWnWxYX2GPKn1PEhHxDbcbPt9kDPu7ov0/lXbcrEwoKACHhxOJhReA3WZcPE1UxcaevAZiMPBaomrQoEFl2v61wuJEEnLeew/WroX4eKOYuoiIiEiosdmMRFVpPapcLvWoEhHxtd/3VWff4VhiIh1c3PJgpRzT7YYwM7RqBYmNPbxTFpj3gjsR8LBmocl08qHlwcBriSr3CX3LfvnlF0wmEx06dKB27dpkZmayceNG3G43l1xyibcOK0HGbocxY4zlhx6COnX8G4+IiIiIP9jtJx/6988/kJ9vnGQ0alT5sYmIhILC3lTdz04nJtKJzeb7YzqdRk+n2FiIjvbwTlYgAog8egkBXktULV68uGh54cKFHD58mAULFlC3bt2i9YcPH+a2226jYcOG3jqsBJl584yu7MnJ8MAD/o5GRERExD8KT4hKm/W4cNhfkyYnr2ElIiLl53bDp78aiarL21XesD+ny0hUBXNvp8rgk1GL8+fP57777iuWpAJISkrijjvuYMmSJb44rAS4nByYMMFYHjcOEhL8G4+IiIiIv9jtJ79t+3bjWjP+iYj4xp//JLD7UDyR4U56nF15s/05nWA2Q2SI9IwqL58kqgoKCnA4HKXelpeX54tDShCYPh3S041aC8OG+TsaEREREf+xWkvvTQWqTyUi4muFw/4ubnmQ+GhnpR3X6TR6ypo9LKQeqnySqOrSpQszZ85kR2G/5aN+//13nn32Wbp37+6Lw0oAO3AApk0zlidNUldHERERCW0Wy8mH9RV+hVaiSkTENz77tT5QucP+AJwO9abyhE8SVWPHjsXhcHDNNddw+eWXc9NNN9G7d2+uv/56EhISGFNYTVtCxhNPQF4edO4M11/v72hEJBjNmTOHgQMHFlu3ZcsWBgwYQIcOHejRowcLFizwU3QiImWTl1d6ospmgz17jGUlqkREvG/HgXh2HEggwuyiZ+u0Sj2206lElSd8kqiqV68eH3/8MWPHjqV169bExcXRrl07nnzySZYuXUpiYqIvDisBavt2ePllY/mZZ07ezV1E5GQWLlzIc889V2zdkSNHGDx4MCkpKSxdupS7776bWbNmsXTpUj9FKSLiGZfLGPpXWg/zXbuME5lq1YzJZ0RExLsKh/1d0Pwg1WJKL1nkS5ok4/R89hDFxMRw8803c/PNN/vqEBIkxo4FhwP69AGN+hSRsjhw4ABjx45l/fr1NGnSpNht77zzDpGRkYwfP57w8HCaNm3K7t27mTdvHv379/dTxCIip2ezGcXUS5ua/Phhf/pxT0TE+z7zw2x/x1N9qtPzSY8qgMOHDzN16lT69etHt27d2Lp1K7Nnz+bLL7/01SElAK1ZA+++a3zRmjLF39GISLD5/fffqV69OsuXL6d9+/bFblu3bh2dOnUi/Lifpbp06cKuXbvIyMio7FBFRDxmtxs/4pXWo6owUaUZ/0REvG/3wVi27q+OOcxFrzaVO+zP7TauI9Sj6rR88hDt3buXf//731itVs477zy2bt2K0+lk165dzJkzhzlz5tCjRw9fHFoCiNsNI0cay7fcAm3b+jceEQk+PXv2pGfPnqXelpaWRvPmzYutSz46Tmb//v3UrFmz3Me1WCzlvm8wKmxvqLUbArTt+fmYbTZjbJiPxgdYrdZi16GkzG23WsFmw5mf77XZYLKyIDc3jIQENy5X8dv+/DMSMNO4sY2CgpPPRGW1mrBY3OTnuz06psViITY2tgJRi4gEv8+ODvvr0iyDGnH2Sj2202n0pgpTj6rT8sm3n6effpqaNWuyePFiYmNjadOmDQDTp0/HarUyd+5cJapCwKefwrffQlQUTJjg72hEpKopKCgg8oRqlFFRUUDFT75TU1MrdP9gFarthsBqe1huLklpaTjz8nDFxPj0WOnp6T7dfyDztO1hFgvmnBwOb9uGKz7eK8c+dCicPXvisNlKniRt394MMBMTs59du06eQD1wIIKIiALsds/f7yqSwBcRqQo+3+Sf2f7ASFSFmVWjyhM+eYhWrVrFpEmTqFatGk5n8V+CbrzxRu677z5fHFYCiNMJo0YZy/fcA40a+TceEal6oqOjsdlsxdYVJqgq2msgJSWFGB8nCAKJxWIhNTU15NoNAdr2rCzMGzdCYiLExfnkEFarlfT0dJKTk4sSvKGizG3Py4PMTGo3bw7Vq3slhn37TBw5YuKMM4r3hsrOhiNHjF5b3brVOeXTHxlpomlTN82aed6jSkQklP19OIbf9iYSZnLTu61/ElVms2pUecJnuTzzSR59m82GSZUhq7zFi2HzZuM79iOP+DsaEamK6tatW6JHROHfderUqdC+Y2JiQnKITKi2GwKs7Xa7MXd1VJRx8aGoqKiQS1QV8rjtDofxfMTGGhcvMJuNQuonFlP//Xfjul49qFnz1InTqCiIifFaSCIiVV7hbH+dzsygVoLtNFt7n9MJMRFg9lml8KrDJw9Rx44defnll8nPzy9aZzKZcLlcvPXWW5x77rm+OKwECIsFHnvMWB4zBmrU8G88IlI1derUifXr1xfrubtq1SqaNGmi4S0iEtDy80sf+nH8jH8iIuJdhfWp/DXbn8MBUZGn3058lKh68MEH2blzJ5dddhkjR47EZDKxYMECrrvuOtavX8/999/vi8NKgJg9G/btgzPOgLvv9nc0IlJV9e/fn9zcXMaOHcuOHTt4//33WbRoEbfffru/QxMROSUlqkREKldaZjS/pCYBcJmfElVOJ0SGZifmMvNJoqp58+a89957nH/++axevRqz2cxPP/1Eo0aNePvttzn77LN9cVgJAEeOwKRJxvKTT5bs0i4i4i01a9Zk/vz57Nq1i379+jF79mxGjhxJv379/B2aiMhJud1QUFD6BII7dxrXSlSJiHjXF7/VBeC8JoepU91/M95GqJC6R3z2MDVp0oTp06f7avcSoCZPhsxMaNsWBgzwdzQiUpVMmTKlxLp27dqxZMkSP0QjIlI+drtxOTFR5XKpR5WIiK987udhf4U0459nvPYwrV27tkzbd+rUyVuHlgCxZw8895yxPGWKZjMQEREROZHdbtQpOXGSyX/+OTYksHFj/8QmIlIVHcqNYu1fRv1SfyWq3EcnaA2PABx+CSGoeC1RNXDgwBKz+bndxafLNZlMuN1uTCYTW7Zs8dahJUCMGwdWK/ToAVde6e9oRERERAKPzWYkq078Vb2wN1WTJvrFXUTEm774vSFut4l2jY5Qv4bFLzE4nUZHDrMZJao84LWPwddee81bu5Ig9NtvsGiRsfz003BCzlJEREREMJJUTufJE1Ua9ici4l2f/X4G4N9hfy6XkaQK16gjj3gtUdW5c2dv7UqC0OjRRnfGG24A/SuIiIiIlM5mK329ElUiIt53OD+an3clA/5NVDkcRxNV6jHrEa89TLNnz/Z4W5PJxIgRI7x1aPGzb76BTz4xXnQTJ/o7GhEREZHAZbeXvl4z/omIeN/K7Sk4XWG0apBF41r5fovD6YSoKNVx9pQSVVIhbjeMGmUs33YbnHWWf+MRERERCWQWC4SFFV9ns8Hu3cayElUiIt7z6Z9nAv6f7a8wUSWe8VqiauvWrd7aVQmZmZnMmDGDb775htzcXFq0aMGDDz5Ix44dfXZM8cx778GaNRAXB48/7u9oRERERAKbxVJy6MeuXcZJTEICJCf7J65gtmvXLq677joee+wxrrvuOgC2bNnCxIkT2bx5M4mJiQwcOJAhQ4b4OVIRqUw5OfBjakMArmi/36+xOBxKVJVF2Ok38b6cnJwybf/AAw/w66+/MmPGDN577z1at27NkCFD2FnYR1r8wm6HMWOM5Ycegjp1/BuPiIiISKDLz4eIiOLrjq9PpQlpysZut/PQQw+Rn39sSM+RI0cYPHgwKSkpLF26lLvvvptZs2axdOlSP0YqIpXt21UR2F1mmtfJ5MzkPH+HU+K9X07OJ6W8bDYbCxcuZM2aNdjtdtxuNwBut5v8/Hx27NjBr7/+6tG+du/ezY8//shbb73FueeeC8DYsWP57rvvWLFiBffee68vmiAemDfP+GKVnAwPPujvaEREREQCm8NhDPPTjH/e8/zzzxMXF1ds3TvvvENkZCTjx48nPDycpk2bsnv3bubNm0f//v39FKmIVLavvjUyQ1e03ufnSAwqpO45n/SoeuaZZ5gxYwbp6ens3LmTv//+G4vFwqZNm9iyZQu33367x/uqUaMGL7/8Mm3atClaZzKZcLvdZGVl+SJ88UBODkyYYCyPG2d0VRcRERGRk7PbjWTVib+qFw4SaNq08mMKZmvXrmXJkiU8/fTTxdavW7eOTp06EX7cWWGXLl3YtWsXGRkZlR2miPhBbi6sWmO8B1zRZq9fYznab0eJqjLwyUP1xRdfcOuttzJ69Gheeukl/vjjD2bNmsWBAwcYMGAALpfL431Vq1aN7t27F1v36aefsmfPHrp161buGC0WS7nvG4wK2+utdj/9dDjp6ZE0beri5psLyPffBAqnVea25+djttnAavX83cRqBZsNZ2n9+b2ljHFZrdZi16GkzG2vhOcvPx+s1jDcbjcFBZ7dx2YDm81Efr5n75kWi4XY2NgKRCkiIr5ksxmJKvWoqrjs7GxGjhzJo48+Sr169YrdlpaWRvPmzYutSz5a/Gv//v3UrFmz3McNuHOI8nxvLaNA/F5VGbx9/hRMArXtBQUmrFY8+i69aFE4NnsETZMOk1IjHZst7rT3sR+dltV+sulZy8npBJfLhNPpxuosx+ujMl7nNhuBVELLJ608fPhwUXKpRYsWLFmyBIA6depw22238eqrr3LXXXeVa9/r169nzJgxXHrppfTs2bPcMaamppb7vsHMG+3OyAhnxgyjh9uwYbvYsSOzwvusDJ62PSw3l6S0NJx5ebhiYjy7j8WCOSeHw9u24YqPr0CU3o0LID093SfxBANP214Zz5/NZiI9PZaCgrLNSRsd7WT79nwiI90ebV+RL98iIuJbdrtxOf48IzMTCj+ulKjy3Pjx4+nQoQNXX311idsKCgqIjIwsti7qaBXjiv6AF2jnEOX9flgegfS9qjIF2nNemQKt7bt2xXDkSAS5uY5TbpeREc4bbxhdVIe0+4KDBw/hjPK8RtXhw0cqFOeJ7HYTNpuJtLQCop35ZX59VMbrPMxioZpP9lw+PklUJSQkYLPZAEhJSeGff/4hNzeX+Pj4or/L48svv+Shhx6iffv2zJgxo0IxpqSkEOPjN/NAYrFYSE1N9Uq7778/AovFTMeOTu66qx4mU73T38mPytz2rCzMGzdCYqIxnaEn8vIgM5PazZtD9eoVCddrcVmtVtLT00lOTi76chYqytz2ynj+gJYtjV9UysJs9nyGkED71UtERIo7+vW4WMH0bduM6wYNoAqc01eKZcuWsW7dOj766KNSb4+Oji46FylUmKCqaM/jgDuHKM/31jIK1O9VvubN86dgE6htt1hMJCRA7dqn3m7x4ghstjA6tLVxw7npOKrVwhXtWY+qw4ePkJRUgwgv9ga0WMDlgpQmYLaU4/VRGa/zI95NzlWUTxJVHTt2ZPHixXTq1ImGDRsSExPDypUr6devH7/88gvx5fgUfv3115k4cSK9e/dm2rRpJX4lKauYmJiQHCJT0XZv3w6vvGIsT51qJi4ueB5Dj9tut0NkpJEd8DRD4HAY94mNNS6+UJ64MH5BDLVEVSGP214Zzx8+3bWIiAQBu73krH5//mlct2hR+fEEq6VLl5KRkUGPHj2KrR83bhwLFiygfv36JXr/FP5dp4LTVAfcOUQ5vx+WR6B9r6osAfecV6JAa3t0tPFvHh198m1++w2++MJ4r334bisRf0UQFhGFK9Lz10dERASRZdj+dKxWiImB2BjAVY7XR2W8ziuYX/E2nySqRowYwYABA7j99ttZvHgx//nPf3j88cdZvHgxf/75J//+97/LtL8333yTJ598koEDBzJmzBjCwnxSA148MHas8dnTpw+c8N1ARERERE6htFFnhT2qTiipJKcwbdo0Ck4oUnPZZZdxzz330KdPHz7++GPefvttnE4nZrMx5H7VqlU0adJEQ+RFqjC3G6ZPN5avvhrObu6Cv/wbExgjKkK030C5+SRR1bJlSz799FO2Hf3kffDBB4mPj2fDhg307NmzTLP+7dq1i0mTJtG7d29uv/32YjN1REdHk6Dp5irNmjXw7rtGdnryZH9HIyIiIhJcLJaSdXALe1S1bFn58QSrk/WKqlmzJg0aNKB///7Mnz+fsWPHMnToUDZt2sSiRYuYUDhltYhUSZ9/Dps3Gx2Vhg/3dzTHOBxKVJWVTxJVa9eupVWrVlx44YUAmEwm7rjjDsCYoeOLL76gb9++Hu3r888/x263s3LlSlauXFnstn79+jFlyhTvBi+lcrth5EhjedAgaNfOv/GIiIiIBJu8vOKJqoICKKxVrKF/3lOzZk3mz5/PxIkT6devH7Vr12bkyJH069fP36GJiI8UFMDzzxvLt94KtWoBuf6MqLggngDTL3ySqBo0aBBLliyhXSnZjD/++INHHnnE40TVHXfcUZTkEv/59FP49lsjE/zEE/6ORkRERCS4uFwlZxbfscNYX6PG0ZMqKbc/C7umHdWuXbuimcdFpOpbvBgOHIB69eA///F3NCWd2JtWTs1rD9eoUaOKZvNzu92MHz++1KLpqamp1NIncVBxOmHUKGP57ruhUSP/xiMiIiISbOx243J8EeDjC6mfWGRdRKSqcrthxQpo0gTatKn4/g4cgEWLjOV77jl1sfXK5nYb10pUlY3XqpJffvnluN1u3IXPBBT9XXgJCwujQ4cOTFaBo6CyeLEx1jcxER55xN/RiIiIiAQfm82oU3L8yUphIXUN+xORUPLGG3DNNdCxozFDX0W98IIx9K99e+jVq+L78yaXC8xmJarKymsPV8+ePenZsycAAwcOZPz48TRt2tRbuxc/sVjgsceM5TFjICnJv/GIiIiIBKPCHlXH1ykp7FGlGf9EJFRkZMD99xvLViv861/w0UflTzBt3gyffGIsP/hg4PVOdTqVqCoPr/WoOt7ixYtLJKk2bdrEF198QXZ2ti8OKT4yezbs2wcNG8Jdd/k7GhEREZHgZLMZQ0DCjn77djph+3ZjWT2qRCRUjBoFhw5B69Zw1VVGT6hrroH//a/s+3K7YcYMY/mqq6BVK+/G6g0OhxJV5eGTRNXBgwcZNGgQL7zwAgCvvfYaN954I/fccw+XXXYZ2ws/lSWgHT4MkyYZy08+CTEx/o1HREREJFjZ7cX/3rPH6E0QHQ1nnOGfmEREKtN338GCBcbyyy/De+9Bnz7GKJ6rrjIm7yqLlSth0ybjfXTECO/H6w1Op9GT1mz2dyTBxSeJqmeeeYa//vqLdu3a4XK5ePnll7ngggtYtmwZzZo1Y/r06b44rHjZlCmQmWkUuBs40N/RiIiIiAQvm63438cP+9MJjIhUdVYr3H67sXzbbXDBBcaM8kuXwhVXGMmqPn3g++89219BATz3nLF8661Qu7ZPwq4wp9Nop5SNTxJVP/zwA6NGjeKiiy5i48aNHDp0iEGDBtGyZUuGDh3KunXrfHFY8aI9e4698KdM0RcoERERkYqwWIoP/Th+xj8Rkapu6lTYuhWSk43zy0LR0fDBB9C7N+Tnw5VXwo8/nn5/b7wBaWlQpw4MGOC7uCvK4VCiqjx8kqjKz8+nbt26AHz77bdERkbSpUsXACIjI4vNDCiB6fHHjaz3xRcbmW0RERERKb+8vNITVSqkLiJV3fbt8NRTxvKzz0KNGsVvj46GDz+ESy813iuvvBJ+/vnk+zt4EBYuNJbvvtu4fyA7fhIN8YxPElUpKSmsW7cOm83GZ599RufOnYk6mkZcvnw5KSkpvjiseMlvv8FrrxnLzzwTeDMniIiIiAQTt9sYplJ4suJ2q0eViIQGtxvuvNPoBHHZZXDTTaVvFxMDy5fDJZdATg5cfjmsWVP6tnPmGL1U27Y1tgt0KqRedj5JVN1+++3Mnj2brl27snfvXgYPHgzADTfcwPLlyxkyZIgvDiteMnq08YZy/fVw/vn+jkZEREQkuDkcRjH1wpOV9HTIyjJKK5wwUbaISJXyxhvw1VdGr6c5c07dCSI2Fj76CLp3h+xsI7F1YtWg7duNbQAefDCwO1UUDiRToqrsfPKQ9enThzp16rB+/Xo6d+5Mhw4dAOjYsSP33HMPF110kS8OK17wzTfwySfGF6fCGf9EREREpPxsNiNZVTiDcmFvqpQU1S4RkaorIwPuv99YfvxxzxLzcXGwYsWxwuq9exuJrnPPNRI/L79sbHfllcakX4HM5TLOq5WoKjufPWTnnXce5513XrF1o0aN8tXhxAvcbhg50li+7TY46yz/xiMiIiJSFdjtxXtUbdtmXGvYn4hUZaNGwaFD0Lq10fvJU/Hx8PHHxwqr9+plJKu++gp+/91I8N91l+/i9hanU4mq8vLZQ/bjjz/y9ddfY7FYcLlcxW4zmUxMUnedgPPee7B2rZHFHjfO39GIiIiIVA02m3HCUniyokLqIlLVff89LFhgLL/0EkRGlu3+CQnGSJ8rroBVq4xkVeF76C23GLP9BTqHQ4mq8vLJQzZ//nymTZtGVFQUSUlJmE4YOHri3+J/djuMGWMsP/RQcLzwRURERIKB3V7878JEVcuWlR+LiIiv2Wxw++3G8m23wYUXlm8/1arBp58ataoKC6vXqgWDBnknTl9zOo3eX2azvyMJPj5JVL3xxhtcffXVTJw4kciypk7FL+bNgx07IDm5bN0yRUREROTUbLZjyzk5sH+/saweVSJSFU2dClu2GOeWU6ZUbF/Vq8Pnnxuz+61dC0OHGoXZg4HTWfaeZGLwSaIqIyOD66+/XkmqIJGTAxMmGMuPP250sxQRERER7ygogLCjc20X9qaqV8/oLSAiUpXs2AFPPmksz5wJNWpUfJ+JifDTT0bvqmDqneRwBE9SLdCE+WKnrVq1Yvv27b7YtfjAjBnGNMlNm8KwYf6ORkRERKRqyc8vWZ9KhdRFpKpxu+HOO8FqNWbr+/e/vbdvsxnq1vXe/ipLRIS/IwhOPulRNWbMGO677z5iY2Np3749MYVz8R6nfv36vji0lNGBA0bXTIBJk9Q1UURERMTbLJZjJyua8U9Eqqo334QvvzR6Eb34Iqg0tQqpl5dPHrZ///vfuFwuxowZc9LC6Vu2bPHFoaWMnngC8vKgUye44QZ/RyMiIiJStTgcRu8CzfgnIlXZ4cNw//3G8mOPGaN1QpnbbVwrUVU+PnnYnnrqKV/sVrxs+3Z4+WVj+emnlfEWERER8Ta73UhWxcUZCatdu4z16lElIlXJqFFw8CC0amXMIh/qXC4IMytRVV4+edj69evni92Kl40da3xxuvJKuOQSf0cjIiIiUvXYbMb3rfBwo8iw02nMYlWnjr8jExHxju+/h/nzjeWXXlI5GTDe68OVqCo3PWwhas0aePddoxdVRacMFRHxp7///puePXuWWP/UU09xg8Y0i4ifFfaoCg8vXkhdPdlFpCrYvh3+7/+M5WHDoFs3/8YTKBwOowC8ElXl47WHrWXLlietR3Uik8nEH3/84a1DSxm53TBypLE8cCC0a+ffeEREKuLPP/8kKiqKL7/8stjnUEJCgh+jEhEx2GzGdy+TSTP+iUjVsmcP9OoFaWnQti0884y/IwocTidERRnJKik7ryWqRowY4XGiSvzr00/h22+NF86TT/o7GhGRitm2bRtNmjQhOTnZ36GIiJRgtx9bViF1Eakq0tKMJNWePcZ72sqVkJjo76gCh9OpIZAV4bVE1d133+2tXYkPOZ0werSxfPfd0KiRf+MREamoP//8k2bNmvk7DBGRUtlsRm8ql8sYIgPqUSUiwe3wYbjsMuM9rXFj+PJL1d07kcMB0dH+jiJ4acRkiHnrLTO//WZkux95xN/RiIhU3LZt26hduzb/+c9/SE1NpXHjxgwfPpyLLrqo3Pu0WCxejDDwFbY31NoNAdr2/HzMNpsxRZyPiltYrdZi16GkzG23WsFmw5mfDxERZT5eRoYJh8PEjh1gsUQTFeWmTp0CCgrKvKsTwjJhsbjJz3d7tL3FYiE2NrZiBxWRkJedDVdcAb/9BnXrGkmqM87wd1SBqRwfGXKUElUhxGo18eSTxqvlkUcgKcnPAYmIVJDNZiM1NZWYmBhGjhxJbGwsy5cvZ9iwYbz66qt07dq1XPtNTU31bqBBIlTbDYHV9rDcXJLS0nDm5eGKifHpsdLT0326/0DmadvDLBbMOTkc3rYNV3x8mY+zZUsceXlhbN0aCzSkQYMC9uxJLfN+TnTgQAQREQXY7Z4nG2vWrFnh44pI6MrPh6uvhrVroWZNI0mlTu0np0Lq5aeHLoS8804y+/aF0bChMexPRCTYRUZGsnbtWsLDw4k8WgigTZs27Ny5kwULFpQ7UZWSkkKMjxMEgcRisZCamhpy7YYAbXtWFuaNG43uz3FxPjmE1WolPT2d5ORkoqKifHKMQFXmtuflQWYmtZs3h+rVy3QslwvS00243bB6tfG1u23bCJo0SSlH5MVFRppo2tRNs2ae96gSESkvqxX694fvvoNq1eDzz6F1a39HFZjcR9+WlagqPz10IeLIEXj11boAPPEEBMp3cRGRiiptKEvz5s354Ycfyr3PmJiYkBwiE6rthgBru91uVGCNijIuPhQVFRVyiapCHrfd4TCej9hY41IGVqsx41N0NOzcaaw7++xwoqMr/hU8Ksr4Phco/7YiUnU5HPCf/8BnnxnvOx9/DOed5++oApfLBWFmJaoqIszfAUjlmDYtguzscM4+28WgQf6ORkTEO7Zu3co555zDunXriq3fvHmzCqyLiN/ZbMYJntl8bMa/li39G1NVkpmZyeOPP87FF1/Mueeey7///e9inwdbtmxhwIABdOjQgR49erBgwQI/RisSnFwu+O9/4f33jZz9hx9Ct27+jiqwOZ0QrkRVhShRFQL27oUXXzReJU8+acNs9nNAIiJe0rx5c8466ywmTJjAunXr2LlzJ5MnT2bjxo3ccccd/g5PREKc3W5csrONWbLCwlTPxZseeOABfv31V2bMmMF7771H69atGTJkCDt37uTIkSMMHjyYlJQUli5dyt13382sWbNYunSpv8MWCRput1EyZvFiI+H+zjvQu7e/owp8TqfxeClRVX566ELA448bhdTPPTeHK65QlkpEqo6wsDDmzp3LtGnTuO+++8jOzqZVq1a8+uqrtND87yLiZzabcaK3bZvxd+PGmq7cW3bv3s2PP/7IW2+9xbnnngvA2LFj+e6771ixYgXR0dFERkYyfvx4wsPDadq0Kbt372bevHn079/fz9GLBD63Gx5/PII5c8Bkgtdeg3/9y99RBYfCEePqIFJ+SlRVcb/9BosWGcv33LMPk6mxfwMSEfGypKQkJk2a5O8wRERKsNuN68JElfLn3lOjRg1efvll2rRpU7TOZDLhdrvJyspi8+bNdOrUifDjujR06dKFl156iYyMDM2AKHIar7xSlxdfNGaMnzvXqFElnnE6fV5issrT0L8q7pFHjGz4tdc6aNMm39/hiIiIiIQMm824LqxPpUSV91SrVo3u3bsXzfgK8Omnn7Jnzx66detGWloadevWLXaf5ORkAPbv31+psYoEm9mzw3nxxQYATJsGt93m54CCjMOh3rMVFXQ9qubMmcOqVatYvHixv0MJeN9+a8zIYDbD+PF2HA5/RyQiIiISOiyW4oXUmzf3bzxV2fr16xkzZgyXXnopPXv2ZPLkycWSWEDRLI9Wq7Xcx7FYLBWK0+vy8zHbbMYUkz4qiFP4eHn8uFmtYLPhzM+HiAifxFQZCp/rgHvOfWjzZhNjx0by5ZfGa+fhh/O5807ID5D+DgUFJqxWKCjwbHtzgQWH3Y7dbsVlPv3rw360G2zhdXnZbEbvzlJfMuV5fVTG69xmI5A6gQVVomrhwoU899xzdOrUyd+hBDy3G0aONJZvuw3OOsvNli3+jUlEREQklOTlGb2q9u0z/laPKt/48ssveeihh2jfvj0zZswAIDo6Glthl7ajChMtsbGx5T5Wampque/rC2G5uSSlpeHMy8MVE+PTY6Wnp3sWk8WCOSeHw9u24YqP92lMlSHQnnNfOHQonLlz67N8eS1cLhPh4S6GDEnj//7vn4A6h9y1K4YjRyLIzfWsB0ZEfg6mjAysFjvOqDyPj3P48JHyhghAZqaZuDgrVquzxG3leX1Uxus8zGKhmk/2XD5Bkag6cOAAY8eOZf369TRp0sTf4QSFpUthzRqIizOKqYuIiIhI5XG7jV/99+wx/q5TBxIT/RpSlfT6668zceJEevfuzbRp04p6UdWtW7dEYqXw7zp16pT7eCkpKcT4OCFUJllZmDduNP654uJ8cgir1Up6ejrJyclFvdJOKS8PMjOp3bw5VK/uk5gqg8ViITU1NfCecy/Ky4NZs8J59tkI8vJMAPTr5+CRR3IIC/sn4NpusZhISIDatT3b3pybRa1tNbEnVMcVffrXh91u5/DhIyQl1SCiAr0Bw8NNnHGGu/R///K8PirjdX6kYsk5bwuKRNXvv/9O9erVWb58OS+88AJ///23v0MKaHY7jBljLD/4INStGzjdNUVERERCgcNhfCcr7IyhYX/e9+abb/Lkk08ycOBAxowZQ1jYsfK7nTp14u2338bpdGI+OvXWqlWraNKkSYUKqcfExFSoR5bX2e3G9GJRUT6v3hwVFeVZoqpwyrPYWOMS5ALuOfcCp9OYcOvRR+Gff4x1558P06fDhReGk58fxZYtgdf26Gjj39zT+k9hDhvhERGYIqJwRXr++oiIiCCyDNsfz+mEqGgjn1Tqy6U8r4/KeJ2fMFTa34IiUdWzZ0969uzp1X1W5bHG8+aFs317JLVquRk+3EJ+fmiOsS5U5raXZwxwZYzFL2NcZa4nUIWEci2FQPoyISISymw243xkxw7j75Yt/RtPVbNr1y4mTZpE7969uf3228nIyCi6LTo6mv79+zN//nzGjh3L0KFD2bRpE4sWLWLChAl+jFrE/1auhIcegk2bjL+bNIEpU+CGG8Bk8m9sVYHTCeFmn5WSChkh+/BV1bHG+flhPPmkMU3v4MF72bfvYLHbq2q7PeFp28szBrgyxuKXd2yyp/UEqqJQrKWg6bZFRAKD3W5cChNV6lHlXZ9//jl2u52VK1eycuXKYrf169ePKVOmMH/+fCZOnEi/fv2oXbs2I0eOpF+/fn6KWMS/Nm+Ghx+Gzz4z/k5MNHpU3XWXzzvjhRSn05hEQ4mqignZhy/Qxtt6y6RJ4WRkRHDmmS7GjKlFZGQtIDTGWJ9MmdtenjHAlTEWv4xxlbmeQBUSyrUUREQkMNhsRo2qv/4y/lYhde+64447uOOOO065Tbt27ViyZEklRSQSmLZtg2nTYMECcLmMwQMjRhhJKv2+6X0Oh/EYHx1xLOUUsomqQBtv6w0HDsCsWcby5MlhJCaWbF9VbLenPG57ecYAV8ZY/HKOTfa4nkAVFKq1FERExP/sdmO2P4cDEhKgXj1/RyQiocDtNob1vf++cdm8+dht/fsbw/yaNfNffFWd02m850vFhGyiqip68knIzYWOHeH66/0djYiIiEjostmO9aZq3ly1X0TEd1wuWL36WHKq8L0HjCFol14Kjz0GF17ovxhDhdPpebF3OTklqqqIHTvgpZeM5WeegeMmPRERERGRSma1HpvxT8P+RMTb7Hb47jsjMfXBB8dm7wMjUXLFFXDddXDVVVCjhv/iDDVuN4QH79xMAUOJqipi7Fija/mVV8Ill/g7GhEREZHQlpcHu3YZyyqkLiLe8r//weLFsHw5HD58bH21akZS6rrrjCSVp6V2xfsilGWpsKB7CKdMmeLvEALO2rXwzjtGl3I9PCIiIiL+d3yiqmVL/8YiIlXDvHlw223H/q5VC6691khO9eyp2fsChWb8qzg9hEHO7YaRI43lgQOhXTv/xiMiIiIS6pxO2L0b8vONuTpSUvwdkYgEuw8+gMKJLm++GYYNM2pOKSkSOJxOCDNrxj9v0L91kPvsM/jmGyN7/uST/o5GRERERGw2+PNPY7lpU51IikjFfPcd/PvfRtH0oUPh5Zc1QUMgcjoh3AwRqlFVYSq5HcScThg1yli+6y5o1Mi/8YiIiIiIUeR4xw5jWYXURaQiNm2Ca64xJmj417/gxReVpApUTqfRm0o/TlScElVB7I034LffIDERxozxdzQiIiIiAkaPKiWqRKSiUlONwuhZWdCtG7z1lpIggczhMBJVGvpXcUpUBamCAnjsMWP5kUcgKcm/8YiIiIiIwW6Hv/4yljXjn4iUx8GDcPnl8M8/0KaNMctfTIy/o5JTcTohOtrfUVQNyscGqRdegD17oGFDuPtuf0cjIiIiImBMdLN3Lxw5YgzPOessz+6TmWmc5HjKai13iCIS4HJzoW9f2LbNKO/y2WdQo4a/o5LTUaLKe5SoCkJHjsDEicbyE08osy4iIiLib1YrHDoEf/9tnFQCnHEGxMae/r7//GNsl5Dg+fESEjzbt4gEF5sN+veHtWuhZk34/HNo0MDfUYkn3G4IVyF1r1CiKghNmWIkq1q3hkGD/B2NiIiISGhyuYyeUOnpRoIqOxsiI43EE3hWn+rQIWP25nPOUSkHkVDncsHgwfDFF0Yi+uOPoWVLf0clZRGhDItX6GEMMnv3wqxZxvKUKSrUJiIiIqHB7YZ/DkexZV8CW/bG88feBLbui6d6nJ1hl+3hinPTCfOg+mpODhw6FE5cnNErKTLSmEq8LLNo5ecf6z2VkWEU0K1WzSjJEBYGO3ca250uUZWTY9SzUpJKRNxuePBBePNNo2D60qVw/vn+jkrKSsXuvUMPY5AZN87oWn7xxca4ZREREZGqxOmE1PRYtuyLZ8ve45JSf8eTlVf6mIplP9ejWb1cRvRJ5dZL95IY7zjp/vPyYc+eKOx2E1FRRpIqIgLi4iAmFqIijeRVYQLr+LgOH4S0NKPHVF6eUYukZk1j2+P9+adxfapEVUGB0RurbVsN6xEReOYZePZZY/nVV43Z/iR4OJ0Qphn/vEaJqiCyeTMsWmQsP/102X75ExEREQlUGdkRvPJlI97+vj5/7E2gwFb6N/2wMDfN6uVxdsNczm6YQ8uGufyaWo1XvmzEjn/iuX9BGx59oyUDe+zjrqt20bpRbqn7iYhwU7OmG7PZ6NFkt8PBQ+B0GN+vzGYjSRUVBXFhEJMP21fDQZtx/+rVjR5QpX0Xy883esDDyRNVDgccOGAUWm/SpKyPlohUNa++CqNHG8vTp8OAAf6NR8rO6YRwc/EfOKT8lKgKIo88Yoxb7t8funTxdzQiIiIiFbN2e3Ve+LgJb39fH6v9WHIqKsJJiwa5nH1GLmc3zKXVGTmcfUYuZ9XPIyrCVWI/T978J69/05DnV6Tw+55qzP0shbmfpXBJ20PcfdUuru58gHCzu8T9zEd//T5xliaHw7hYLJCXA+G5xnLdBqcf1rF9uzGEp3bt0ofzuVywf79RaL1lSzwarigiVdeKFTBsmLH88MPwwAP+jUfKx+k0Pk809M879DAGie++M97EzGaYNMnf0YiIiIiUj8UaxpIf6vPCx01YtyOxaP25TTO588rd9GhziCZ18ss0fCIu2sntV+zmtst38+3mmjy/ognLVtfl699q8fVvtWhUO587r9zN0Mv2ANbT7i883LhER0NYBJgjwF0TXKV8c3a7jWLqW7cal1WrjPXNm5e+73/+MZJYrVvrl3eRUPftt/B//2ckOQYNMmoQS3ByOIz3dA398w4lqoKA2w0jRxrLw4ad/IuPiIiISKD6Ky2WFz9tzCtfNuJwjlHUKTLcyY0X7Wf4lamc3yKzwmUNTCbo0TaDHm0z2HMwhrmfNmbeF43YczCWR147m/FvNafvOXupzn62W8zUTXRRM95KzQQribH2UntdHc/tNgqob91q1KEqTE4dOVJy206dSq47eNCYyat1a+NaREKT223Uoxo50khwXHklzJ+vHpbBzOUq2TtXyk+JqiDw/vuwerVR5HPcOH9HIyIiIuIZpxM+25DMC5+k8NmGZNxuIxPVODmfO69M5b+99lK7us0nx25U28KkQVt5/KZtLPm+Ps9/3IT1OxJ5f00KkAJrim9vMrlJjLVRM95GrQQrNeOtJMVbqRWdS262i18+j2PrdsgtpeyV2WzUmmrZ0ri0amUUST9eVpbxeLRvDzVq+KTJIhIEsrLgv/81zvEAbrjBqFGlHpbBzeEw6hqKdyhRFeDsdqM2FRjTldat6994RERERE5nz8EY3vimAfO+aMSuA3FF6684N53hfVLpc96BShseER3p4pZL9zGo5z5W/5nIgs/qsHVXGPawahzOiyYjN4ojeZG43SaO5EVxJC+KHQcSTrq/iAho1sxISLVoYVw3a3bqX9ItFsjOhnbtoF49HzRSRILCxo1w/fWwc6fxXjJjBowYoUmyqgK3GyIiT7+deEaJqgC3YIFRlLN2bXjoIX9HIyIiIlK6I7kRvPtDPd74tiHf/V6zaH2NeBv/7bWXO65IpVn9fL/FZzJBl5aZ1Is9wIb1GbRoUZPISOPnb6cLMvMiOZQTRUZuFBm5kcZ1ThQZmWZi3Hmk9GpKi/axnHlm2Xo+2O3GkL8WLTTDn0iocruNoX133w1WKzRqBO++C507+zsy8Ra3GyKUXfEaPZQBLDcXxo83lh9/HBJO/uOeiIiISKUrsIXx8bo6vPFNAz5el4zNYXSTMpncdG+TwaBL9nHjRfuJjXL6OdJTM4dBzQQbNRNsQE6x28IseZhzjnD4ika44su238IZ/ho3NmqMqteESOjJy4M774TFi42/+/aF114rfVZQCV4mk2b88yY9lAFsxgw4cACaNoXbbvN3NCIiIiJG8uW732vyxrcNePfH+mTlHete1C4li5u7/82/L/6bM2oX+DFK/3O7jSRV3bpGzSqdwIiEnq1bjaF+v/9uFEqfONEooK6i6VWL0wlhZs345036yAxQ6ekwdaqxPHEiRGq8q4iIiPjR5t0JvP5NA978tiF7D8UUrW9Yy8J/Lv6bm7vvo12TnFPsIbSkp0N8vDHDX0zM6bcXkarlrbeMGdvz8oyE9dtvQ/fu/o5KfMHpNHrmqiC+9yhRFaCefNIY+texozEThIiIiIg/ZOeHc++81iz8qlHRuupxdq6/YD8DevzNxa0zgq53gNNpIjPT5NFJhbkAIvIg/QA4Spnxr/T9GycsbdtC9eoVi1VEgovVCvffDy++aPzdo4eRtNKkWFWX02n0mlXPWe/RQxmAduyAuXON5aefVtdQERER8Y/vf09i0MxzSE2PJSzMzTWd0xjQ42/6djxAdKTL3+GVS2wMJCfbqVXL7VGiymSB8EgwNQBXGeqF1qoFycnlj1NEgs+uXfB//wfr1hl/jxkDEyYogVHVORzGjxMa+uc9eskEoEcfNf7Zr7gCevb0dzQiIiISamx2E+PebMHT7zfD7TaRkpzP4gd+oVurw/4OrcKqVYP69W2ccQZERXlwhzzgCDRsA6h3lIgc5XAYtafWrj12+e03Y31SklE8vU8ff0cplcHl8vDzRDymRFWAWbsWliwxZg2YMsXf0YiIiEio+X1PPAOmn8vGXUZWZvCle3h22O9Ui3X4OTIREf9wuWD7duNcbd064/qXX8BiKbntBRcYQ/0aNSp5m1RNDocSVd6mRFUAcbth1ChjecAAaN/ev/GIiIhI6HC54PkVTRi16GysdjM1E2y8POJXrrsgzd+hiYhUqoMH4euvzXzySQNSU6PYuBGyskpuV60anHcedOp07NKokdHpQEKH2w2RSlR5lRJVAeTzz+Hrr40Z/p580t/RiIiISKjYdyiawbM68OWvtQG48rwDLLj7V+olWf0cmUj5uVwuZs+ezbvvvkt2djbnnXce48aNo3Hjxv4OTQKI2230lvrhB/jxR+Py558AUcCxCujR0XDOOcWTUmedpXrCYohQZsWr9HAGCKfzWG+qu+8GfX6KiHhGJyIiFbPk+/rcMactmXmRxEQ6mf7f37njyt3qESBBb86cObz99ttMnjyZOnXqMHXqVIYNG8aKFSuIjIz0d3jiJ1YrbNhgJKR++AF++snoQXWis8920aJFBr16VePCC6No3RqPJmCQ0KRC6t6lRFWAePNN2LTJmML4kUf8HY2ISPDQiYhI+WRborhlVmeW/GAUUunYLJPXH9hAi4Z5fo5MpOJsNhuvvPIKDz/8MN27dwdg5syZXHTRRaxcuZK+ffv6OULxJpvNGJqXmWlcH79ceH3kCGzcCGvWGMmq40VFGT2kunWDCy806kxFRxewZcsezj77bGJjK79NEhycTggza2ZHb9PDGQAKCoyZ/sBIUtWs6d94RESChU5EJJjZbJCXd+ySm3t0OT0c+6YUiIszxpp4wO0GNyZcLnC5Tbjc4HKZjOWj69xuiv7OyXfzzPuX8U9mNcLC3Iy9YTuP3biNiHC3bxstUkm2bt1KXl4eXbp0KVpXrVo1WrVqxdq1a/X5gPG+4XKBwxWGw2nC7jAVLR//d74lkv1pNcmhGhERkUX3PX4/YLwHAWCJwJVlpmCNmYJw41ynoMAoPF64fPylcL3NBnZ78Utp6wovVuuxpFRpRc1PpVYtIyF14YVGcurcc0sWw87PL+cDKyHF6QRzmHrbeZsSVQFg7lzYswcaNIB77vF3NCIiwUMnIhLodu0yhvTv318yKeU46SR6ccCVlRLfmXVyeePBX+jSMrNSjidSWdLSjEkA6tWrV2x9cnIy//zzT7n3aylrRqQMVq8O46mnIkr09jkVtz0G18F/4TRF4HCH43CZjiaawrAfvXYet6747T4urjTZt7svTUKCm2rV3FSrBomJxnX16m6qVzeWmzZ10bWri7POchcb3ux0lkxMFT7XvnzOA1Wgtr2gwITVaiQ2Xa5jF7fbeA4Lk6+Fl7AcC2GZdmw2K87o06c+7A4HeXlmMg47PK455XCYiIpyn+Iz/QRWK9hsOPPzPc9u5edjttmM+/qo65bVZiOQ6sErURUAtmwxridNgpgY/8YiIhJMgvFEJBAF6hfSyuDrtn/9tZmPPz71V7+ICDdxcRAba1zHRTuJyj4E4WZjPIGHTGFuwkwQZnITdnTZZCq5Lszkxu120qjGPzz2713UrG4u04lxsLMebazV00aX56QiAFksFmJDaPxS4Wv6xCHgUVFRZJU2fZuHUlNTKxLWKS1eXJ///a/e6TcsxgzU93osEWYn5jAX4WYXZpObsDBX0W2FCR4T7lLWAW43JlxEJEQQFQORkS4iI91ERRnXkZEuoqOPLUdFuYiIcBMZ6SY8/NglIsJV7O8TLxERbuLjncTHO0lIcBIX5/SoTpDTCVu3ev5Y+PI5D3SB1vbU1BjS0iLZufPo51uY8b9nXLuLXYeFuYm25lAjPwMrdpxOz4a1x8SAzXoYW5k+F13884/doy3DLBbMOTkc3rYNV3y8Z/fJzSUpLQ1nXh4uHyUMwiwWqvlkz+WjRFUAmDoVhg2Djh39HYmISHAJxhORQBaq7Qbftb1NG5g7Nx6rNYyYGBexsU6io13ExBy7REQUH24XlptL0mef4UxI8NkX0kL52cYlFKWnp3u0XXlOKgJVzRCqLxF9dNiszWYrWgYjQRlTgddVSkpKhe5/KtOmwVVXFVBQUIaZDPLziVj1A+HVYgmPjcRsdhNudhMe5jKuzW4izK6idWazG3PYceuOro8IP3afE2exs1qtpKenk5ycTNSJ4+NKk5cHmZk4/+//jAK8mI5egmt6PIvFQmpqqk+f80AVqG1v0MAY5mk2czQZdWz5xHUmE5CVhdmZBImJxnD60yjz/3p5HH191G7e/OjrwwNZWZg3bvS4HeVhPXLEJ/stLyWqAkC1akpSiYiURzCeiASiQP1CWhkqo+1t2pTxDpXxhbQyvowHqPKedJfppCIAhVqPycKetunp6TRq1KhofXp6Oi1btiz3fmNiYnzWMy02Fq67rox3yioA+z6oUaOc7xcmjF5ZpxcVFeXZa8bhgMhIo0FVoBefL5/zQBdobS9zKHa78b8YFVWyCNkpePy/Xh7leX2Usx1lEmATEClRJSIiQSsYT0QCWai2GwKs7ZXxhfQon34ZD3ChetIdKlq2bEl8fDyrV68u+nzIzs7mjz/+YMCAAX6OTkRETiUo+l+6XC6ee+45LrroItq3b89///tfdu/e7e+wRETEz44/ESlUeCLSUV1VRURCVmRkJAMGDGDatGl89dVXbN26lfvvv5+6devSu3dvf4cnIiKnEBQ9qubMmcPbb7/N5MmTqVOnDlOnTmXYsGGsWLGiRF0SEREJHcefiCQlJdGgQQOmTp2qExEREeGee+7B4XDw6KOPUlBQQKdOnViwYIHOH0REAlzAJ6psNhuvvPIKDz/8MN27dwdg5syZXHTRRaxcuVJTj4uIhDidiIiISGnMZjMPP/wwDz/8sL9DERGRMgj4RNXWrVvJy8ujS5cuReuqVatGq1atWLt2rRJVIiIhTiciIiIiIiJVR8DXqEpLSwOOFcwtlJyczD///OOPkERERERERERExAcCvkdV4VS6Jw7hiIqKIisrq8L7DRWF7Q21dkM52p6fj9lmA6sVwj18iVitYLPhzM+HiIhyRurduKxWa7HrUFLmtlfG81cJLBZL4MxaJiIiIiIiUg4Bn6iKjo4GjFpVhctgnIDGxMSUe7+pqakVDS0ohWq7wfO2h+XmkpSWhjMvD5eH/2NhFgvmnBwOb9uGKz6+AlF6Ny6A9PR0n8QTDDxte2U8f5WlZs2a/g5BRERERESk3AI+UVU45C89PZ1GjRoVrU9PT6dly5bl3m9KSkqFEl3BxmKxkJqaGnLthnK0PSsL88aNkJgIcXGeHSQvDzIzqd28OVSvXpFwvRaX1WolPT2d5ORkoqKifBNTgCpz2yvj+asEodhjUkREREREqpaAT1S1bNmS+Ph4Vq9eXZSoys7O5o8//mDAgAHl3m9MTExIDpEJ1XZDGdput0NkJERFGRdPOBzGfWJjjYsvlCcujGGyoZaoKuRx2yvj+RMREREREZHTMrndbre/gzidmTNn8vbbbzNp0iQaNGjA1KlT2bdvHx999FGZpx/fsGEDbrebiIgITCaTjyIOPG63G7vdHnLthnK03eWC3FwICwNPHyu327hffLxxP18oY1xutxunw4E5PDwkn/Mytb0ynr9K4Ha7iYqKokWLFv4OJWjpMyK02g0B2vbyfA6VkT4j9BkhZROwnw+B+H5RhV4zAff5UEmqTNsD8fypPK+Pynidu1xE1awZMJ8RAd+jCuCee+7B4XDw6KOPUlBQQKdOnViwYEGZk1RA0T9cUL/gysFkMpXr8aoKytz2sDCoVs13AZVXGeMyESQvcB8I1baH2vuaL+gzIvQEZNsr4XMoVN8nIXTbHmrva94WsJ8Per/wmYD8fKgkVabtVeX8qZJe54EkKHpUiYiIiIiIiIhI1Re8fTFFRERERERERKRKUaJKREREREREREQCghJVIiIiIiIiIiISEJSoEhERERERERGRgKBElYiIiIiIiIiIBAQlqkREREREREREJCAoUSUiIiIiIiIiIgFBiSoREREREREREQkISlSJiIiIiIiIiEhAUKJKREREREREREQCghJVIiIiIiIiIiISEJSoEhERERERERGRgKBElYiIiIiIiIiIBAQlqkREREREREREJCAoUSUiIiIiIiIiIgFBiSoREREREREREQkISlSJiIiIiIiIiEhAUKJKREREREREREQCghJVIiIiIiIiIiISEJSoEhERERERERGRgKBElYj4jdvt9ncIIiIiIiIiEkCUqAoR27Zt4/777+fCCy+kTZs2dOvWjfvuu48//vjDK/sfOHAgAwcO9Mq+PDVr1ixatGjBuHHjvL7v8rZn4MCBtGjRotilZcuWnHfeedxwww18/PHHXo+1LFq0aMHzzz9/ym1ObLsn9/FETk4Ol156KTt37gTgq6++YtSoUUW3r169mhYtWrB69eoKH2vmzJlMmDChwvsRkdBzuvf/nj17Mnr06BLL3jZ69Gh69uzpk32LiEjFPPTQQ7Ro0YIffvih1Nu///57WrRowdNPP13JkYlUDeH+DkB8b/v27dx44420a9eOsWPHUqtWLdLS0nj99de58cYbWbx4MR06dKjQMXyRLDoVl8vFsmXLaN68OR999BEjR44kLi6uUmM4mVatWhV7PJxOJ2lpaSxcuJAHHniAhIQELr74Yj9GWDZLliyhbt26Fd7PxIkTueSSS2jatCkACxcurPA+T+b222/n8ssv57LLLqNr164+O46IiK8MHz6cQYMG+TsMEREpxaOPPsrPP//MuHHjWLFiBTExMUW35eXlMW7cOM466yzuv/9+P0YpErzUoyoEvPrqqyQmJjJ//nz69OlD586dueaaa1i4cCFJSUnMmTOnwsdo1qwZzZo180K0nvnpp5/Yv38/48aNo6CggI8++qjSjn068fHxdOjQoehy3nnn0bdvX1599VUiIyNZunSpv0Mskw4dOlQ4UfX777+zfPlyhg0b5qWoTi02NpZBgwYxZcqUSjmeiIi3NWrUiFatWvk7DBERKUViYiLjx49n3759PPvss8Vumz59Ounp6UydOpXIyEj/BCgS5JSoCgGHDh0CStYDio2N5ZFHHuHKK68E4I033qBFixbs2rWr2HYff/wxLVu2ZN++fbz//vu0atWKd999l27dunHxxRezffv2EkMlDh8+zIQJE7jkkkto06YNnTt3ZsSIEezbt69om4EDBzJ27FhefvllevToQdu2bbnpppv49ddfT9umpUuXcuaZZ9KxY0e6du3K22+/XWKb0aNHc8sttzBu3Dg6duxIv379cDgcHsVW6IUXXuCCCy7gnHPOYfjw4ezdu/e0sZ1MZGQkERERJda/++679O3blzZt2tCjRw+ef/55HA5HsXYMHDiQ9957j0suuYRzzjmHQYMGFRu2+f7779OiRYsSbShtWEpubi4PPfQQ55xzDl27duWpp57CYrGcNO4Th/5lZGQwZsyYosfl5ptvZv369ads+0svvcT5559PnTp1AOO5X7NmDWvWrCkx3O+vv/5iyJAhtG/fngsvvJBp06YVezxcLhcvv/wyvXv3pk2bNlx++eUsXry4xDGvvvpq/vzzT7799ttTxiYi4i3vvfceLVu2LHrPfP755+nduzezZ8/m/PPPp1evXhw5coSCggKmT5/OZZddRps2bTj33HMZPHgwW7ZsKdrXiUP/evbsyXPPPcfTTz/NBRdcQLt27RgyZEiJz+x169YxYMAA2rdvT+fOnRk1ahSHDx+unAdARCSE9OrVi6uuuorFixfz22+/AbBhwwbefPNN7rrrLs4++2z279/PAw88QOfOnWnfvj233HJLse/w+/bto0WLFnz++ecMHz6cDh06cMEFFzBnzhxyc3MZM2YM5513HhdccAFTp04tdj5ntVp55pln6N69O23atOHqq6/mk08+KRajp58dIoFGiaoQ0KNHD/bv389NN93EG2+8wc6dO4ve5K644gr69esHGCf2UVFRfPjhh8Xu/8EHH9C5c2caNmwIGEPZ5s6dy1NPPcV9991XoieV2+3m9ttv58cff+TBBx9kwYIFDB8+nJ9++onHH3+82Laff/45X331FY8++igzZszg0KFD3HPPPTidzpO2Jysriy+//LIo7uuuu44tW7aUmuBat24du3fv5vnnn2fEiBGYzWaPY1u/fj0fffQRjz/+OE899RRbt27l1ltvxWaznfLxdrvdOByOoovVamX37t08+uij5OXl8a9//ato25deeonHHnuMrl27MnfuXG6++WbmzZtXIpYtW7Ywc+ZM7rrrLqZOnUpmZiYDBw7kwIEDp4ylNIsXLyY3N5dnn32W22+/nXfffZdHH33Uo/vm5+dz00038dNPP/Hggw8ye/Zs4uLiGDp0aFHtqRPl5eXxv//9jyuuuKJo3bhx42jVqhWtWrViyZIltG7duui2yZMnc9555zF37lwuu+wy5s2bVywROX78eJ577jmuueYa5s6dyxVXXMGkSZN44YUXih23bt26nHPOOSxfvrwsD4+ISLl88sknPPbYY9xxxx3cfffdRev379/PypUrmTFjBvfddx81atRg5MiRvPfee9x222288sorjB49uqiW5KkmmXjttdf466+/mDx5Mk899RSbN28u9mPE2rVrufXWW4mOjubZZ59lzJgxrFmzhkGDBlFQUODT9ouIhKJHH32UGjVq8MQTT2C32xk/fjzt27dn2LBhHD58mJtuuonff/+dxx57jOnTp+Nyubj55ptLfG8eO3YszZs358UXX6RLly7MmjWL66+/nujoaGbNmkXPnj2ZP38+n332GWCcb4wYMYK3336bwYMH8+KLL3LOOedw//33s2zZsmL7Pt1nh0ggUo2qEPCf//yHgwcPsmDBAp544gkAatSoQbdu3Rg4cCDt27cHoFq1avTu3Zvly5dz7733YjKZSE9P56effmLSpEnF9nnHHXfQo0ePUo+Xnp5OTEwMo0aNomPHjgCcf/757Nu3r0TPJ4fDwYIFC4iPjweMpMaoUaPYsmULbdq0KXX/H330EU6nsyjh07t3b6pXr87bb79d1Jbj9z9hwgQaN24MwIEDBzyOLSwsjAULFtCgQQMAmjZtyrXXXssHH3zAjTfeeJJH2zhROD7xAmAymWjevHnRBw0YxcVffPFFbrzxxqJEUbdu3UhMTOTRRx9l8ODBnHXWWcW27dSpEwDt2rWjV69eLFy4sFhBck80adKEOXPmEBYWRvfu3TGZTEyePJnhw4cX1Y86mQ8++IC9e/eybNkyWrZsCUDHjh259tprWbt2ban3X7duHXa7nXbt2hWta9asWdFzfmJ9tEGDBjF8+HAAunTpwtdff83PP//MgAED2LVrF++88w4PPPAAt912W9FjZjKZeOmll/jPf/5DjRo1ivbVtm1bVqxYUabHR0SkrL7++mtGjhzJbbfdxn333VfsNofDwahRo7jgggsAsNls5OXl8dhjj9GnTx8AOnfuTF5eHlOmTOHgwYMkJyeXepxq1aoxZ84czGYzAHv27OH555/nyJEj1KhRg+nTp9OkSRNeeumlom3at29P3759Wbp0KTfffLOPHgERkdBUo0YNxo8fz1133cV///tf9uzZw7JlyzCbzSxatIjMzEzeeuutovOJiy++mD59+jBr1iyee+65ov1cdNFFRZ8fzZo14+OPP6ZmzZpFP15feOGFfPrpp2zYsIErr7ySn376ie+//56ZM2cWfZZcdNFFWCwWpk2bxlVXXUV4uHGqf7rPDpFApB5VIeLee+/l+++/Z/r06Vx//fXEx8fz0UcfceONN7Jo0aKi7a6//nr+/vtv1q1bB8CHH35IdHQ0l19+ebH9NW/e/KTHqlOnDq+99hodO3Zk//79rFq1itdff50NGzZgt9uLbXt8wqLwvsAph6ItXbqUTp06ERMTQ3Z2NgUFBfTq1YtPPvmE7OzsYttGR0fTqFGjcsXWoUOHog8VgJYtW9KwYUN++umnk8YG0Lp1a9577z3ee+89XnjhBZo3b05KSgozZ84s1qvol19+wWKx0LNnz2I9sAoTWT/++GPRtvXr1y9KUgEkJydzzjnnnHbIXWkuv/xywsKOvfQvu+wy3G43P//882nvu27dOho2bFiUpAKIiori008/5aabbir1PoXDEQt75J1OYQIRjARfgwYNip7Xn3/+GbfbXepjZrVaSzweDRo0ICMj45T/TyIiZWUymYqWf//9d+69916Sk5O59957S93++M/MyMhIFixYQJ8+fUhPT2ft2rUsWbKEr7/+GqDEZ9Hx2rZtW3SiARTVD7RYLFgsFn799Ve6d+9erGfvGWecQdOmTYt9poiIiPf07t2bPn36sGbNGh5++GFSUlIAWLVqFWeffTZ16tQpek8OCwvj4osvLnE+cc455xQt165dG6DYD/Amk4nq1auTk5NTtG+TyUT37t1LfCc+ePAg27dvL7rvqT47RAKVelSFkOrVq3PVVVdx1VVXAfDHH38wcuRIpk2bxjXXXEONGjXo0qULDRs2ZNmyZXTq1Illy5Zx5ZVXFpvJAqBmzZqnPNby5cuZMWMG//zzD4mJibRs2ZLo6OgS252438IEisvlKnW/W7duLRrXfXziptAHH3zALbfcUizO408oyhJbrVq1SqyrWbNmiWTYieLi4mjbti1gfDCcc845/Otf/+K///0vH3zwAUlJSQBkZmYCFPUMOlF6enrRcmm/rtesWZPff//9lLGU5sR2FT6Xp2sXGDGf7rk/UeEH6onP9cmU9j9ROBSm8DHr27dvqfc9cShkbGxsUQyeHl9EQltsbGzRe01pbDZbsfeTbdu2cckll/D111/z+uuvlzpT34nvu99//z2TJk3ir7/+Ii4ujhYtWhTNXHuqoX+n+szMzs7G5XIxb9485s2bV+K+UVFRJ92viIhUzEUXXcQnn3xC9+7di9ZlZmaye/fuEiMtCh2fKDr+h/tCp/rumpmZidvt5txzzy319vT0dM4+++xS93O68y2RQKBEVRV34MAB+vfvz7333ssNN9xQ7LZWrVpx3333MWLECPbu3UuNGjUwmUz069eP1157jZtvvpkdO3YUDRf01Lp16xg1ahQDBgxgyJAhRVn7Z555plw9gI733nvvERMTw4svvlisVxDAhAkTWLJkSbFEVUViKy1xc/DgwWK/eHiisNvu3XffzcSJE5k+fTpgdMMFmDZtWtEvL8c7/sSmtJOmQ4cOFSWNCpNxJ37g5OXllbjfie06ePBgUZynk5CQUGrR+V9++YX4+PiioYrHK+xSnJ2dXZSkK6/Cx2zRokVFJ3XHq1+/frG/s7KyMJlMJCYmVui4IhI6atWqxbZt20q9zWazcfjw4WLvz926dWPu3Lk8+OCDzJw5k169epV4Lzrenj17GDFiBJdeeikvvfRSUa/fN954g++//77cccfFxWEymbj11ltLTeYrWS8iUrkSEhLo3LkzI0eOLPX2iswImJCQQGxsLK+99lqptxeWPREJVhr6V8XVqlWL8PBw3nzzTaxWa4nb//rrL6Kiooq9mfXv35+cnBwmT55MSkoK5513XpmO+csvv+ByubjnnnuKEkFOp7Ooi2t5s/c2m42PPvqInj170rVrV84///xil+uuu46dO3eyZs0ar8T2yy+/FPUGAti0aRN///03Xbp0KXPsl112GRdddBErVqwomuGuffv2REREcODAAdq2bVt0iYiIYPr06cUSQnv27GHHjh1Ffx84cICNGzfStWtX4NivMP/880/RNn/99VepCa4TT4Q+/vhjTCYTnTt3Pm07OnbsyN69e/nzzz+L1tlsNu6++27eeeedUu9TeMKWlpZWbP2JiUZPFPaiO3LkSLHHLDMzk2effbZEe9PS0qhVq5amBhYRj3Xu3Jn9+/ezadOmErd9+eWXOJ3OYp8DhUM0HnnkEcLDw0tMhnGizZs3Y7Vauf3224sNTS98bz5Vj6pTiY+Pp1WrVvz111/F3h/POussZs+eXWx2VRER8b3OnTuza9cumjRpUux9efny5bz77rvFhuOVZ9/5+fm43e5i+96+fTsvvPBCsRmzRYKRElVVnNlsZvz48Wzbto3+/fvz1ltvsWbNGr799lsmTZrErFmzuOuuu6hevXrRferVq8cFF1zAmjVrimbWK4vCotlPPPEEP//8M1988QWDBw9m69atgDFzXHl8+eWXZGZmnnTY1zXXXIPZbC5RFL28sblcLm677Ta+/fZbli1bxogRI2jevDnXXHNNueIfM2YMERERPPXUUzgcDmrUqMHQoUOZNWsWzz77LKtWrWLZsmXceeed7Nmzp1gdKLfbzfDhw/nkk0/4/PPPGTp0KNWqVWPgwIGAUXQ8JiaGKVOm8O233/LJJ59w1113ldqTaPPmzYwdO5ZVq1bx8ssv89xzz3H99deX2qvrRNdddx1nnHEGd955Jx9++CHff/8999xzDwUFBUWxnKhjx45ER0ezYcOGYuurVavGrl27WLVqFVlZWR49hoWP/2OPPcb8+fP5+eefeeutt3jwwQc5cuRIiTasX7+eiy66yKN9i4gA9OnTh9atWzNs2DBeeeUVVq9ezapVq3jhhRcYO3Ysffv2LXWoRa1atbj//vv5/vvvS8yee7zWrVsTHh7O1KlT+fHHH/n666+5++67+eabb4Dyf0YCPPDAA/zwww88+OCDfPvtt/zvf/9j6NCh/PTTTycdeiIiIr5x66234nK5uPXWW/nkk09YtWoVjz32GK+99hpnnnlmhfbdvXt3OnXqxPDhw3nzzTdZvXo18+bNY/z48YSFhVV4FIOIvylRFQJ69OjBO++8Q/PmzZk7dy5DhgzhgQceYMuWLcycObPUGkmXXHIJYWFhXHvttWU+3vnnn8/jjz/OL7/8wrBhw5g8eTL169dn9uzZAOUe/vf+++9TvXr1kyYekpOTueCCC/jiiy/IyMiocGyXXHIJnTp14uGHH+aJJ56gc+fOLFq0qNx1Ps4880wGDhzItm3beP311wG47777GD16NCtXrmTYsGFMnTqV8847j9dff52EhISi+9avX5/BgwczadIkxowZQ0pKCm+//XZRIiohIYHnnnsOl8vFiBEjmDVrFnfeeWepMyfeeeed5OTkcMcdd/Daa68xdOhQxo8f71Eb4uPjef311znnnHOYOHEi9957L1arlcWLFxfrGXC8mJgYLr74Yr799tti62+++WYiIiIYNmwY3333nUfHB5g8eTKDBw/m7bffZujQocydO5c+ffrwyiuvFPtl6sCBA2zdurVYAXsRkdOJiIjg9ddf58Ybb+Tdd9/l9ttvZ8SIEXz55Zfcf//9TJs27aT3vemmm2jXrh2TJk3i8OHDpW7TuHFjpk+fzoEDB7jzzjuLemAtXrwYk8lUNJlJeXTr1o0FCxaQlpbGPffcw8iRIzGbzbz66qslZlgVERHfqlOnDm+//TYNGjRg/Pjx3HHHHWzatImJEydy6623VmjfYWFhvPzyy/Tt25eXXnqJIUOG8Pbbb3Prrbcyc+ZM7zRAxI9M7vL2MZcqbdiwYZjNZubOnevvUELe6NGjWbNmDf/73//8HUq5/fbbb9x4442sXLmy2EyKvjR79my+/PJLPvjggxIF9UVERERERCQwqUeVFPPCCy/w0EMP8d133zFkyBB/hyNVRNu2bbniiiuYP39+pRwvN/f/2bvz8CjL6//j75lJZrKThWyE1bCJCKhEsYoggraibVP0p1ZQUXGtfK0abIEqVEFbEJQiLoBKtQpudcFaRetSLUWWoiCbIAlrCGQl28xkZn5/DDMYWTJZJrN9XteVCzLPdm6WmTznOfe5q3nllVe45557lKQSEREREREJIUpUSSP/+te/+PTTTykoKPA2rhZpCw888ACfffZZo6bw/vLMM89w0UUXccEFF/j9WiIiIiIiItJ2NPVPRERERERERESCgiqqREREREREREQkKChRJSIiIiIiIiIiQUGJKhERERERERERCQpBkah66623uPTSSzn99NMZPXo077//vnfb5s2bGTt2LIMGDWL48OEsXry4VdfaunUrW7dubW3IIiIShvQZISIix6PPBxGR9hMV6ADefvttJk+ezP3338/w4cNZvnw599xzD1lZWXTv3p3x48czcuRIpk+fzvr165k+fTrJycmMGTOmRdez2WzYbDasVisWi6WNRxO8rFYrGzdupH///hE1bmjB2Ovq4O23obzc/8H5kb2hgX379tGpUyeiowL+X71dRerY7Q0NRN91V6DDCGn6jNBnRMhq5mdXpL5PQuSOXZ8RrROpnw8QRu+TzRQ2427BvU0kv09G4rgh+D4jAvqn73K5eOKJJ7j++uu5/vrrAbjzzjtZt24dX331FV999RVms5lp06YRFRVFbm4uRUVFLFy4sMWJKg+Hw9EWQwgZnvFG2rihBWO32dxv5LGxEBPjx8j8y2m14jh8GGdSEoTyh2sLROrYnZWVgQ4hbETae6U+I8Jg7M387IrU90mI3LHrM6JthPx7RQuEzftkM4XNuFtwbxOx75MROm4Ivs+IgCaqvv/+e/bu3cvll1/e6HXP9L4JEyaQl5dH1A+ymUOGDOGZZ56htLSUtLS0do1XIkxMDMTHBzqKlouKwhkb6x5DhL3RRuzYrdZARyAigebrZ1ekvk9C5I5dnxEika059zaR+j4ZqeOGoPuMCGiiqrCwEIDa2lpuuukmNm3aROfOnbn99tsZMWIExcXF9O7du9ExGRkZAOzbt69Viaq6uroWHxuKPOONtHFDC8ZeW4vJZnP/Zw3hkk/rkTcba5C96bSHSB271WYjwj5SRUREREQkzAT0Lry6uhqA+++/n9/85jfcd999fPDBB9xxxx08//zz1NfXYzabGx3jmR/c2htQT5Is0kTquMH3sRurq0ktLsZRU+POqIe4kpKSQIcQMJE2dmNdHUmBDkJERERERKQVApqoio6OBuCmm24iPz8fgFNPPZVNmzbx/PPPExMTg81ma3SMJ0EVFxfXqmt3796d2DBIQviqrq6OwsLCiBs3tGDslZWY1q+H5OSQnvpntVopKSkhIyMjtBtAtkCkjt0a4gsAiIiIiIiIBDRRlZWVBXDM9L6ePXvy6aefkpOTc0xFhOf7zMzMVl07Nja21cmuUBSp44ZmjN1uB7PZPS85DJIcFoslopI1PxRxY/9RBaqIiIiIiEioMQby4v369SM+Pp6vv/660evbtm2ja9eu5OXlsXbt2kYrLaxcuZIePXqokbqIiIiIiIiISJgJaKIqJiaGm2++mSeffJLly5eza9cunnrqKb788kvGjx/PmDFjqK6uZsqUKWzfvp0333yTJUuWcOuttwYybBERERERERER8YOAL2l2xx13EBsby9y5czlw4AC5ubn85S9/4ZxzzgFg0aJFzJgxg/z8fNLT05k0aZK3n5WIiIiIiIiIiISPgCeqAMaPH8/48eOPu23AgAEsW7asnSMSEREREREREZH2FtCpfyIiEr7sdjtz585l+PDhnHHGGfz6179m3bp13u2bN29m7NixDBo0iOHDh7N48eJGxzudTubNm8fQoUMZOHAgN954I0VFRY32aeocIiIiIiISWoKiokpERMLPU089xRtvvMGjjz5Kly5dWLhwIRMmTOAf//gHZrOZ8ePHM3LkSKZPn8769euZPn06ycnJjBkzBoAFCxawdOlSHnnkETIzM5k1axYTJkxg+fLlmM1mysvLmzyHiEhrbSxKZN2ODn6/zpm5lfTvdtjv1xEREQl2SlSJiLSQ3Q5Op3+vYTRCdLR/r+EvH3/8MZdddhnnn38+AL/73e947bXXWL9+PYWFhZjNZqZNm0ZUVBS5ubkUFRWxcOFCxowZg81m47nnnqOgoIBhw4YBMHfuXIYOHcqKFSsYPXo0r7766knPISLSWgfKzQwpOJ+aev//yJwQ20Dxkg+Jj3E0vbOIiESMhgaorGz+cUlJoXsfoUSViEgL2O2wdStYrf69jsUCffqE5odMcnIyn3zyCWPHjiU7O5tly5ZhNps59dRTef3118nLyyMq6ujH0JAhQ3jmmWcoLS1l79691NTUMGTIEO/2pKQk+vXrx+rVqxk9ejRr1qw56TnS0tLadbwiEn7mvJ1LTX0UOWl19O/qv2qnz75No7ouiu374xnYo8pv1xERkdBTWwvffw+OZj7H6N0bUlP9E5O/KVElItICTqc7SRUV5b8kkt3uvoa/q7b8ZcqUKfz2t7/loosuwmQyYTQaeeKJJ+jatSvFxcX07t270f4ZGRkA7Nu3j+LiYgCys7OP2Wf//v0ATZ6jNYmqurq6Fh8bijzjjbRxQxiNvbYWk8129I2pCdYjWXarv7PtQcjXsZceNvPke90BmD9hLT87q9hvMQ39/QhWb09l8y4zfTv55+/EarNh8cuZRUTE3xwO6NjR9/0PHfJfLO1BiSoRkVaIjgaz2X/nb2jw37n9bceOHSQlJfHkk0+SmZnJa6+9xv33389LL71EfX095h/9wVks7lsoq9XqTRocb5/KI7XPTZ2jNQoLC1t1fKiK1HFD6I/dWF1NanExjpoanLGxPh9XUlLix6iCW1Njn/v+udRYo+iXc4DT0leze7f/YslKOgCksm5rA4Nz/HMhY10dSX45s4iISNtSokpERNrc3r17KSgo4IUXXmDw4MEAnH766Wzfvp2//OUvxMTEYLPZGh3jSS7FxcURExMDgM1m8/7es0/skZvwps7RGt27d/deJxLU1dVRWFgYceOGMBp7ZSWm9eshORni45vc3Wq1UlJSQkZGhjfBGyl8GXtFTTQvfXEWAA9cs4OuXbv4Nab+PVy8uw5K63Lo0uWAX65hLS/3y3lFRETamhJVIiLS5r755hvsdjunn356o9cHDhzI559/TqdOnY6pZvB8n5mZScORUrKSkhK6du3aaJ++ffsCkJWVddJztEZsbGyrk12hKFLHDWEwdrvdXd5psbi/fGSxWCIuUeVxsrEvfKsXVXXRnNa1iivPL8Vo9O+fUd8u7iR74cFE//19+LP8V0REpA0ZAx2AiIiEH09vqa1btzZ6fdu2bXTr1o28vDzWrl2L4wddIVeuXEmPHj1IS0ujb9++JCQksGrVKu/2qqoqNm3a5K3QauocIiItcbjWxNx3TgFgypXfYWyHn5Zzs2oA2L6/6Wo4EREJTTX1Jmb//RTGzTmDssMhuFJSO1KiSkRE2tyAAQMYPHgw999/P//9738pLCzk8ccfZ+XKldxyyy2MGTOG6upqpkyZwvbt23nzzTdZsmQJt956K+DuTTV27Fhmz57Nxx9/zJYtW/jtb39LVlYWo0aNAmjyHCIiLfH0P7tTdthMr07V/L/z97XLNXtmuxNVuw/FYrXrx3MRkXBSZzXy+Ns9OGXCRRQ8fxovfdqZd79qXfV/uNPUPxERaXNGo5EFCxbw+OOP8/vf/57Kykp69+7NCy+8wKBBgwBYtGgRM2bMID8/n/T0dCZNmkR+fr73HBMnTqShoYGpU6dSX19PXl4eixcv9jZQT0tLa/IcIiLNUWs1MfvvuQBMvvI7TKb2uW5Gso34mAZq6qPYeSCOvp2r2+fCIiLiN1a7kYUfdGXm673YXxbTaNve0pgTHCWgRJWIiPhJhw4dePDBB3nwwQePu33AgAEsW7bshMebTCYKCgooKCg44T5NnUNEpDkWfdiVkkoL3TNquXbY3na7rsHgrqr6emcHtu9XokpEJJTZ7Aae/7grD7/aiz2H3Au1dE2v5Q9Xfce2vfHM+ntP9pcrUXUySlSJiIiISMSz2o38+U13NdXvrthOdJSrXa/vSVTtUJ8qEZGQZG8w8OInnXloWW8KS9wLtOSk1THlyu+4cdRuLNFO5i/vDsC+MiWqTkaJKhERERGJeM9/1IW9pbF07ljHDRftbvfr52bVAmqoLiISahwO+Ntnnfnj0t7sKHa/h2el1PP7K7ZzyyVFxJid3n07pdYDsL88Mlfc9ZUSVSIiIiIS0ewNBh59oycAk361HUu0s4kj2p6nofqO4rh2v7aIiMCO4ng+/roXKbs6EhUVjcsFLgzuX48U2f7wexdwuC6KJ9/rwda9CQCkd7By/6+2c/ulRcRZHMdcIzvVCqiiqilKVImIiIhIRHvp084UlcSRmVzPzaN2BSSG3Cx3okoVVSIi7aPBYeDLzaksX53B8tWZbNmT2OJzpSbamPSr7dx5aSEJsccmqDy8FVVlFlwud49COZYSVSIiIiISsRwOmPmau5rqvvwdxFrav5oKoGcn99S/wpI4GhwGokzt2yNLRCQSlB2O5p/rMnj3q0z+uS6dihqzd1uUyUm/nAMkJ5owGY0YDC4MBvDkkgwG3K/94PdGA/ykbxm/uayQpLiGJq+fleKuqLI1mCg7HE1akt0Powx9SlSJiIiISMRa9kUO2/cnkJZo47afFgUsjpzUOsxRDmwNJnYfjKFHVl3AYhERCRcuF2zencDy1ZksX53Jl1tScTqPljGlJdq4dPABLs87wLB+e6gq20mXLl2wWPzTQ8oS7SQt0UbpYTP7y2OUqDoBJapEREREJCI5nTDj1V4A/PYX3590uoa/mUxwSlYtW/YksqM4XokqEZGTcLmgpt5EWbWZssPRlFdHe39fVu3+vqTCwqcb09h5oPGU6tO7VXFZ3gEuyzvAOb3LMZncr1utDVSV+T/27NR6Sg+b2VcWQ/9uh/1/wRCkRJWIiIiIRKS//zebTbsT6RBv5zejdwY6HHKPJKq2749n5KBDgQ4noCoqKpgzZw6ffvop1dXV9OnTh3vvvZfBgwcD8Pvf/54333yz0TGZmZl8/vnnADidTubPn89rr71GVVUVZ511Fg8++CDdunVr97GISOut+F9HHlrWm4NVZsoOmymvicbeYPTpWEu0gxEDDnFZ3gFGDy6hW0ZgHwR0Sq1nY1ES+8u08t+JKFElIiIiIhHH5YKHl7mrqSZetpMO8U33FvE3rfx31D333ENpaSlz5swhNTWVl19+mZtuuok333yT3Nxctm7dym233cbYsWO9x5g8ZRHAggULWLp0KY888giZmZnMmjWLCRMmsHz5csxm8/EuKSJBbNbfe/LvTWnHvG6OcpCaaCc1wU5Kgp3URBupR35NibczoHsVFw08FNCK2R/LTtHKf01RokpEREREIs7767JZv7MDCbEN3P3z7wMdDnA0URXpK/8VFRXx5Zdf8sorr3DmmWcCMGXKFD7//HOWL1/Ob37zG7Zv384dd9xBenr6McfbbDaee+45CgoKGDZsGABz585l6NChrFixgtGjR7freESk9Q5UuBPMj934LSMHHiQ10Z2YirM4Qm7lPO/Kf+WqqDoR32rlRERERETChMsFj7x+KgB3XrqT1MTgaGabm+1e+S/SE1UpKSk8++yz9O/f3/uawWDA5XJRWVlJYWEhVquV3Nzc4x6/ZcsWampqGDJkiPe1pKQk+vXrx+rVq/0ev4i0vUNV7kTVsP6lDOhxmM4d64mPCb0kFbh7VIEqqk5GFVUiIiIiElG+2NaV1dtTiTU7uOcXwVFNBT+Y+rc/HpeLkLwBawtJSUneSiiP999/n127dnH++eezbds2DAYDS5Ys4fPPP8doNDJs2DDuvvtuEhMTKS4uBiA7O7vROTIyMti/f3+rYquri7wm954xR9rYw2bctbWYbDawWiHKt9t/q9Xa6NdAc7mOJqoSY6r9Fld7jTs9sRqAvaVmn65ltYLdbsBmc/l8DbvdgNXqwtehWG02gqm+S4kqEREREYkoC1acA8CtPy0iI9kW4GiO6pZei9Hoos5mYn+ZhU5pwXGTGGhr165l8uTJXHTRRYwYMYJ58+ZhNBrJycnh6aefpqioiD/96U9s27aNJUuWeBMLP+5FZbFYqKysbFUshYWFrTo+lEXq2EN93MbqalKLi3HU1OCMjW3WsSUlJX6Kqnmq66OxNbh70FmrdrC73r89Bf09bqOtATiXPQej2b17d5P719QYOXQohoYG3/tsVVSYiI+3UlPj2zHGujqSfD67/ylRJSIiIiIR4/NvO7Lm+86YoxwU5G8PdDiNmKNddEuvZeeBeHYUxytRBXz00Ufcd999DBw4kDlz5gBw1113ccMNN5CU5L6t6t27N+np6Vx11VVs2LCBmBj3dBqbzeb9PbirJGKbeaP+Y927d2/1OUJNXV0dhYWFETf2sBl3ZSWm9eshORnifZtWbLVaKSkpISMjA4sl8HU2Ow+4F5iINTfQOze7ib1brr3G7bC4x3PwcAKdO3dpsnq2qgqqqgykpfleURUVZSA720Vqqm/7W8vLfT53e1CiSkREREQixiNvuHtT3TCiMCgTQblZ7kTV9v3xDD2tLNDhBNRLL73EjBkzGDVqFLNnz/ZWSBkMBm+SyqN3794AFBcXe6f8lZSU0LVrV+8+JSUl9O3bt1UxxcbGEhcXmasyRurYQ37cdjuYzWCxuL+awWKxBEWi6rA1AYCOSfZ2icff4+6W6U44We0m6hoSSEk4eZ9EiwWio91/jb6Kjm7mX3mQrYaqZuoiIiIiEhH+uyWZTzZkEmV0cO8vtwY6nOPy9qkqDuEb4zbw8ssv89BDD3Httdfy+OOPN5rGd++993LTTTc12n/Dhg0A9OzZk759+5KQkMCqVau826uqqti0aRODBw9unwGISJs5VOXOtnRMCp6p2q0RY3aSmugey76ywCcCg5EqqkREREQkIvz1ky4AXH7WFrql10JQtY51yz2SqIrklf927tzJzJkzGTVqFLfeeiulpaXebTExMVx22WXcfvvtPPXUU4wePZqdO3fyxz/+kcsuu8y7EuDYsWOZPXs2qamp5OTkMGvWLLKyshg1alSghiUiLXSw0p2oDpdEFUB2Sj1lh83sL4vhtK7VgQ4n6ChRJSIiIiIR4V/fdATg4tODqzfVD/XMrgXcK/9Fqg8++AC73c6KFStYsWJFo235+fk8+uijPPHEEzz99NM8/fTTJCYmcvnll3P33Xd795s4cSINDQ1MnTqV+vp68vLyWLx48TEN1kUk+HlW/OuYFHzTtVuqU6qVb3fBvrKYpneOQEpUiYiIiEjY21dqYeveBAwGF3mn7AUyAh3ScfX0VlRF7tS/2267jdtuu+2k+1xyySVccsklJ9xuMpkoKCigoKCgrcMTkXZ2NFEVXhVVAPvLg6+yNxioR5WIiIiIhL1PNrirqc7oUU6HuOB9Kn9KlruiqqLGTNnh6ABHIyISeGGZqEp1J6pUUXV8SlSJiIiISNj7ZEMaAMNOOxjgSE4uzuKgU2odENl9qkREPDyJqvQwSlR1SnU/MNmvRNVxKVElIiIiImHPU1E1rH9wJ6oAco9UVSlRJSISphVVKaqoOhklqkREREQkrBWVxPJ9cTwmo5PzTj0U6HCa5OlTtSOC+1SJiHgcOhx+iapOqepRdTJKVImISJtbtWoVffr0Oe7XRRddBMDmzZsZO3YsgwYNYvjw4SxevLjROZxOJ/PmzWPo0KEMHDiQG2+8kaKiokb7NHUOERE4Ou0vr1cFibENAY6mabnZqqgSEfEIy4qqI1P/9pXF4HIFOJggpESViIi0uTPOOIMvvvii0ddzzz1HVFQUt912G+Xl5YwfP57u3bvzxhtvcNddd/HEE0/wxhtveM+xYMECli5dysMPP8yyZcswGAxMmDABm839Q4ov5xARAfjkG/e0vwtPLw1wJL7xVlQVK1ElIpHN6YTSMKyo8kz9q7eZqKyJCnA0wSfgiaq9e/ce94n7a6+9BuhpuYhIKDKbzaSnp3u/kpOTeeSRR7j44ou58sorefXVVzGbzUybNo3c3FzGjBnDDTfcwMKFCwGw2Ww899xz3HXXXQwbNoy+ffsyd+5cDhw4wIoVKwCaPIeICIDLdbQ/1YWnB/+0P4DcLHeiarum/olIhCuvjsbpNACQlhg+iapYi5PkePd41KfqWAFPVG3duhWLxcK///3vRk/eL7/8cj0tFxEJE3/729/Yv38/v//97wFYs2YNeXl5REUdfYI0ZMgQdu7cSWlpKVu2bKGmpoYhQ4Z4tyclJdGvXz9Wr17t0zlERMDd52n3oViio5yc16880OH4xDP170BFDNV1pgBHIyISOJ5pf0lxdszR4TVHzrvyX7kSVT8W8Bqzbdu20aNHDzIyMo7ZtmTJEu/T8qioKHJzcykqKmLhwoWMGTMmANGKiEhzWa1Wnn76aa6//nrve31xcTG9e/dutJ9n2759+yguLgYgOzv7mH3279/v0znS0tJaHHNdXV2Ljw1FnvFG2rghjMZeW4vJZgOrFaKa/vHOarU2+jWcffi/TgCc3asUE7UhMfa4aCtpiVZKD1vYvCuaAd1rW31Oq82GWvaKSKjxJKrSw2jan0d2aj2bdieqouo4Ap6o2rp1Kz179jzuthM9LX/mmWcoLS1t1U2IiIi0j7fffhur1cq4ceO8r9XX12M2mxvtZ7G4b6GsVqs3aXC8fSorK306R2sUFha26vhQFanjhtAfu7G6mtTiYhw1NThjY30+rqSkxI9RBYf3v+oPwBlddrB7927v68E+9pyUMkoPZ/PVt/WkmHY3fUATjHV1JLVBXCIi7SkcG6l7eFf+K9NjhB8LeKJq27ZtpKen8+tf/5rCwkK6devGHXfcwdChQ/W0vA2FzRPjFmj22Jv5VDpYhcITY39pj7FbrWC3G4iK8l8Jst3uvobV6ts1gvVp+VtvvcXFF19MSkqK97WYmBhvU3QPz99XXFwcMTHuJ0s2m837e88+sUduwps6R2t0797de51IUFdXR2FhYcSNG8Jo7JWVmNavh+RkiG+6AbfVaqWkpISMjAxvgjccuVywZmc3AC7/iZUuXbqEzNhP7Wrnm11Q2dCNLl1a/3lmLQ+NaY8iIj8Uzomq7JSjK/9JYwG9C7fZbBQWFhIbG8ukSZOIi4vjnXfeYcKECTz//PN6Wu4HkTpu8H3sLX0qHayC/YmxP/lz7DabgYMHY7FYnET7ab68O0llZM+eOszmpq8RjE/Ly8rK+N///sett97a6PWsrKxj/n4832dmZtLQ0OB9rWvXro326du3r0/naI3Y2NhWJ7tCUaSOG8Jg7HY7mM1gsbi/fGSxWII6WdNam3cnUFwRS4zZwQX9q7GYj4412MfeO8f9pL3oYIe2ifNHP1OLiISCQ2G44p+Ht6KqPHg/iwIloIkqs9nM6tWriYqK8iak+vfvz44dO1i8eLGelrehsHli3ALNHnszn0oHq1B5YuwP7TF2qxWqqgzExrqIjvbLJbDboa7OQOfOLp/uO4Pxafm6deswGAycffbZjV7Py8tj6dKlOBwOTCZ3o+CVK1fSo0cP0tLSSExMJCEhgVWrVnkTVVVVVWzatImxY8f6dA4RkU82uN8LftK3jBizM8DRNE/PbK38JyJysNL9Q3A4JqqyjySqVFF1rIDPazpewql379588cUXelruB5E6bmjG2Fv4VDpYBfsTY3/y99ijo91f/nxI3dDQjH+KQfi0fMuWLXTp0uWYJPGYMWNYtGgRU6ZM4eabb+abb75hyZIlTJ8+HXA/yBg7diyzZ88mNTWVnJwcZs2aRVZWFqNGjfLpHCIin3zTEYALTw+9lUBzszyJqtB9aCYi0lrhPPXPu+qfElXHMAby4lu2bOGMM85gzZo1jV7fuHEjPXv2JC8vj7Vr1+JwOLzb9LRcRCR0HDp0iOTk5GNeT0tLY9GiRezcuZP8/Hzmz5/PpEmTyM/P9+4zceJErrjiCqZOnco111yDyWRi8eLF3gpcX84hIpHL6YRPNrgTVSMGHApwNM3nqajafSgWqz2gP7KLiARMOCeqslOOVlS5/Nf2NiQFtKKqd+/e9OrVi+nTp/Pggw+SkpLCq6++yvr163n99dfp2LGjnpaLiISwadOmnXDbgAEDWLZs2Qm3m0wmCgoKKCgoaPE5RCRybSxKpPSwmfiYBvJ6VQQ6nGbLSLYRH9NATX0UOw/E0bdzdaBDEhFpd2GdqDpSUVVnM1FVG0WH+IYARxQ8Avp4xmg08vTTT3P66adz9913k5+fz9dff83zzz9Pnz599LRcRERERFrEU011/qllRPtxhVZ/MRiOVlXtUJ8qEYlQnkRVelL4rWQeZ3HQId4OwP5yTf/7oYD3qEpNTWXmzJkn3K6n5SIiIiLSXJ5E1YUhOO3Po2d2DV/v7KA+VSISscJ51T9wr/xXWRPNvlKLKmd/QBPeRURERCSsOBzw6UZ3P9NQ7E/lkZtVC8COYlVUiUjksTcYqKxxL68drokqT58qVVQ1pkSViIiIiISV9Ts7UFkTTVKcnTNOqQp0OC3mmfqniioRiUSlR6qpjEYXyUemyIWb7BT3lMZ9WvmvESWqRERERCSsfLLBXU11wWmlRJlCrz+VR27WkR5VxUpUiUjkOVjpTlSlJtgwmQIcjJ90SvVUVFkCHElwUaJKRERERMLKv75x96caMaA0wJG0Ts9O7ql/Ow/E4XAEOBgRkXYWziv+eXhW/lNFVWNKVImIiIhI2LA3GPj3JndF1YWnh25/KoCc1DrMUQ7sDUZ2H4oNdDgiIu0qEhJV3ooqJaoaUaJKRERERMLG2u0dqK6LIjXRxoDuodufCsBkglOONFRXnyoRiTSeRFV6GCeqPM3U95Vp6t8PKVElIiIiImHjkw3uaX/DTivFGAY/6aqhuohEqoiqqCqPwRW6LRXbXBh8fIuIiIiIuB3tTxXa0/48co9UVO0ojgtwJCIi7evQ4fBPVHl6VNXUR3G4LirA0QSPFv9J1NbWsn//fqqrq0lJSSEzMxOLReVqIiIiIhIYVruRLzenAnBhmCSqVFElIpEqEiqq4mMcJMXZqaqNZn+ZhaS4hkCHFBSalaiy2Wy88cYbvPPOO2zYsAHHD5YfMZlMDB48mJ/97Gfk5+djNpvbPFgRERERkRP5alsydTYTGR2s9OtSHehw2kRu9pGKKiWqRCTCHKx0F8KEc6IKIDvFSlVtNPvKYujTuSbQ4QQFnxNVf//733nssceor6/nwgsv5Gc/+xk5OTnExcVRWVlJcXExa9euZc6cOcyfP5+JEydy5ZVX+jN2EREREREvz7S/CwccwmAIcDBtxFNRtaM4DpeLsBmXiEhTIqGiCtx9qrbuTWB/uVb+8/ApUXXbbbdx4MABpkyZwkUXXXTCaqkbbrgBm83Ge++9x/PPP8+HH37IwoUL2zRgEREREZHj+WRDGgAXnl4a4EjaTrf0WoxGF7XWKIrLLd5+JiIi4S5SElXZqVr578d8SlRddNFFXHHFFRh8eIRjNpvJz8/nF7/4Ba+99lqrAxQRERERaUqd1cjKLSkAXHh6ePSnAjBHu+iWXsvOA/Fs3x+vRJWIRIxISVR5V/4rU0WVh0+r/l155ZU+Jakandho5KqrrmpRUCIiIiIizfGfLanYGkzkpNXRq1N49fjQyn8iEmlqrSbqbCYA0pPCO0GfneIe3z4lqrx8SlQNHTqU3//+9yxfvpyysjJ/xyQiIiIi0iw/nPYXbn2ctPKfiEQaTzWVOcpBQqyjib1Dm7eiqlxT/zx8mvp3xhln8Pnnn/P3v/8do9FInz59OO+88zj//PM588wztcKfiIiIiATUJ55G6mE07c/D21BdiSoRiRA/nPYXbg8ffswzpVsVVUf5lKiaN28eAN9//z2rV69mzZo1/OMf/2DRokXExsYyePBgb+KqZ8+efg1YREREROSHqutMfPVdMhCeiarcbPfUP1VUiUikOFgZGf2p4IcVVUpUefiUqPI45ZRTOOWUU7y9p/bs2cOaNWtYu3Ytb7zxBn/+859JT0/ns88+80uwIiIiIiI/9sWmVBocRrpn1NIjqy7Q4bS5o1P/1KNKRCJDpDRSB8hOcSeqquuiOFxrIjEuvKc6+sKnHlUnYrVaqa2tpa6uDpfLhcFgaHbTdRERERGR1vhkQ/hO+wM45Ugz9YoaM2WHowMcjYiI/0VSoioh1kFirB1QVZVHsyqqqqqq+M9//sO///1vvvjiC0pKSoiJiWHw4MFceeWVnH/++eTm5vorVhERERGRY3gbqQ8oDXAk/hFncdAptY59ZbFs3x/P2YkVgQ5JRMSvIilRBe4+VYf3RrO/PIbeOeG1cm1L+JSoevLJJ/n3v//Nxo0bcTgc9O7dm8suu4zzzz+fs846S83URURERCQgKmuiWLsjGQjfiiqA3Kxa9pXFsmN/HGf3rgh0OCIifuVJVKVHSKKqU2o92/YmsK9UK/+Bj1P//vKXv1BUVMTdd9/NF198wdtvv01BQQHnnnuuklQiInJCb731Fpdeeimnn346o0eP5v333/du27x5M2PHjmXQoEEMHz6cxYsXNzrW6XQyb948hg4dysCBA7nxxhspKipqtE9T5xCR8Pf5t2k4nQZ6daqmc8f6QIfjN0f7VKmhuoiEv4irqEppu4bqG3Z3YOHnvamxmlp9rkDxKVE1YsQIbDYbjz32GNdffz1/+tOf+PLLL7HZIuMfjYiINN/bb7/N5MmTueqqq1i+fDmXXnop99xzD//73/8oLy9n/PjxdO/enTfeeIO77rqLJ554gjfeeMN7/IIFC1i6dCkPP/wwy5Ytw2AwMGHCBO9njy/nEJHw5532d3p4Tvvz8Kz8t6NYiSoRCX+HDkdaosoKwL6y1ieqHv57f577og9ffZfa6nMFik9T/xYsWEBDQwPr1q3jiy++4IsvvuCFF17AYrFw1llnMXToUM4//3x69uzp73hFRCQEuFwunnjiCa6//nquv/56AO68807WrVvHV199xVdffYXZbGbatGlERUWRm5tLUVERCxcuZMyYMdhsNp577jkKCgoYNmwYAHPnzmXo0KGsWLGC0aNH8+qrr570HCISGT75JrwbqXtEWkVVRUUFc+bM4dNPP6W6upo+ffpw7733MnjwYMBdUTtjxgw2btxIcnIy48aN46abbvIe73Q6mT9/Pq+99hpVVVWcddZZPPjgg3Tr1i1QQxKRZoi0iqpOqZ6KqtZN/WtwGNi0twMAXTrWtjquQPF51b+oqCjOPvts7rnnHt58803+/e9/M23aNFJSUli4cCGXX345w4YNY8qUKf6MV0REQsD333/P3r17ufzyyxu9vnjxYm699VbWrFlDXl4eUVFHn5cMGTKEnTt3UlpaypYtW6ipqWHIkCHe7UlJSfTr14/Vq1cDNHkOEQl/pVXRrN/p/oE8UhJVO4rjAhxJ+7jnnnv4+uuvmTNnDq+//jqnnXYaN910Ezt27GiTqlwRCW4HKyMrUZWd2jYVVd+XJFBvNxFntnNKRug2ZW/Wqn8/1LFjR375y18ycuRINmzYwNtvv817773Hm2++yYwZM9oyRhERCTGFhYUA1NbWctNNN7Fp0yY6d+7M7bffzogRIyguLqZ3796NjsnIyABg3759FBcXA5CdnX3MPvv37wdo8hxpaWktjr+urq7Fx4Yiz3gjbdwQRmOvrcVks4HVClFN/3hntVob/RqqPlrv/n9+audKkuMO48twQnXsnVPLASguj6G0ooGEWEezjrfabIRKi96ioiK+/PJLXnnlFc4880wApkyZwueff87y5cuJiYlpdVWuiAQvlyuCK6pamajauMf98KZ3ZhVGn8uSgk+zE1V79+5l3bp13q/t27djMBg49dRTufHGGzn33HP9EaeIiISQ6upqAO6//35+85vfcN999/HBBx9wxx138Pzzz1NfX3/MYhwWi/sWymq1epMGx9unsrISoMlztIYn0RZpInXcEPpjN1ZXk1pcjKOmBmdsrM/HlZSU+DEq/3vvv7kAnNVtJ7t3727WsaE49pT4OsprYln5TTV9OzWvgsxYV0eSn+JqaykpKTz77LP079/f+5rBYMDlclFZWcnGjRuPW1H7zDPPUFpayt69e09alatElUhwq6yJwuF0Z1nSEiMjUeVppr6vrHWPFL49kqjqk1XZ6pgCyadE1V//+ldvYurgwYO4XC569OjBueeey1133cU555xDYmKiv2MVEZEQER0dDcBNN91Efn4+AKeeeiqbNm3i+eefJyYm5pjpF57kUlxcHDEx7qdJNpvN+3vPPrFHbsKbOkdrdO/e3XudSFBXV0dhYWHEjRvCaOyVlZjWr4fkZIhvuoeR1WqlpKSEjIwMb4I3FK0pPAWAy86tpUuXLj4dE8pj75ldx+rtsdSQS5cuzfv3ai0v91NUbS8pKclbCeXx/vvvs2vXLs4//3zmzp3b6qrclgr56ssWCJvK02YKm3E3s+IWAl95uu+QO854SwNG6nyqlm0LgRx3WoK7SvZwXfQxVbNWK9jtBmw2V5Pn2bjb/UiiV/ohrFarz392wVZ169O/1JkzZ5Kens65557Lueeey09+8hMyMzP9HZuIiISorKwsgGNuJHr27Mmnn35KTk7OMdUMnu8zMzNpaGjwvta1a9dG+/Tt29d7jZOdozViY2NbnewKRZE6bgiDsdvtYDaDxeL+8pHFYgm5ZI1Hvc3I5iNPji8ccLjZ4wjFsffKqWX19lSKDiZjsTSzF9+PKlBDydq1a5k8eTIXXXQRI0aM4JFHHml1VW5LhXr1ZWtE6thDfdwtrbiFwFWeflvo/jkyJb6m2dWybSFQ444z26i1mfnf5gq6p1d4X6+pMXLoUAwNDSef8u1wHm2knm7Zyf79B6ip8W2aeLBV3fqUqFq+fLlW9BMREZ/169eP+Ph4vv76a+8KTQDbtm2ja9eunHnmmSxduhSHw4HJZAJg5cqV9OjRg7S0NBITE0lISGDVqlXeRFVVVRWbNm1i7NixAOTl5Z30HCIS3g5UuBMT5igH6R0iY2pIbpZ7BacdxZGx8h/ARx99xH333cfAgQOZM2cO0HRFrS9VuS0V8tWXLRA2lafNFDbjbmbFLQS+8nRDibsaMjPF4XO1bFsI9Lg7pVnZvt8MMT3o0uXo9O6qKqiqMpCWdvKKqu9LEqm3RxMb3cCAU6LIzu5Eaqpv1w62qlufElXl5eXeVZZ8kZeX1+KAREQk9MXExHDzzTfz5JNPkpmZyYABA3jvvff48ssveeGFF+jZsyeLFi1iypQp3HzzzXzzzTcsWbKE6dOnA+6n4GPHjmX27NmkpqaSk5PDrFmzyMrKYtSoUQCMGTPmpOcQkfDmSVRlJtswGAIcTDvxrPy3fX8IV/81w0svvcSMGTMYNWoUs2fP9lZINVVR60tVbkuFfPVlK0Tq2EN+3C2suIXAVZ5W1rn/vNM7NATk+oEad6dUG9v3w6HDiVgsh38QD0RHN10Yu/VAOgCn5lQRYzE37688yKpufUpUjRs3DsMPfgJwuY5m8n78usFgYPPmzW0YooiIhKI77riD2NhY5s6dy4EDB8jNzeUvf/kL55xzDgCLFi1ixowZ5Ofnk56ezqRJk7z9rAAmTpxIQ0MDU6dOpb6+nry8PBYvXuy9UUlLS2vyHCISvo4mqkJr9b7WyM1yJ6oioaLq5Zdf5qGHHmLcuHFMnjwZ4w+Wr2qqotaXqlwRCV4HK93v75Gy4p+Hd+W/8pat/LfpyHT40zqHdiN18DFRFR0djd1up1+/fowePZrTTz/d33GJiEgYGD9+POPHjz/utgEDBrBs2bITHmsymSgoKKCgoOCE+zR1DhEJX5GYqPJUVO06GIvVbsQS7QxwRP6xc+dOZs6cyahRo7j11lspLT3ajysmJqbJilpfqnJFJHgdqnI/lIy0RFV2autW/tvoTVRVtFVIAeNTomrlypWsWLGC9957j7lz59KpUydGjx7N6NGj1btKRERERNpdcXnkJaoykm0kxDZQXRdF4YFY+nSuCXRIfvHBBx9gt9tZsWIFK1asaLQtPz+fRx99tNVVuSISvCI1UeWtqCprfkWV04m3kXrEVFQlJCSQn59Pfn4+FRUV/POf/+Qf//gHzzzzDD179uSyyy7j0ksvpXPnzv6OV0RERETEW1GVlRI5iSqDwT397+udHdi+Pz5sE1W33XYbt91220n3aYuqXBEJTpGaqMo+8nm2rwWJqt2lcVTXR2OJctAzs5qK4OqN3mzGpndpLDk5mauvvpq//vWvfPrpp1xxxRV88sknXHzxxVx99dW8+OKL/ohTRERERMQrEqf+wdHpf5HQp0pEIlOkJqqO9qhq/tS/jXuSAejTqYoo08lXBwwFzU5U/VBGRgbXXXcd8+fP55ZbbmHjxo3MnDmzrWITERERETmuSE1U5WbVApGz8p+IRJ5Dh92JqvSkyHp/z051j7clzdS/DaNG6tCKRFVZWRlLly7l+uuv54ILLmDJkiWMHDmSJ554osXB7Ny5kzPOOIM333zT+9rmzZsZO3YsgwYNYvjw4SxevLjF5xcRERGR8BCpiSpVVIlIuIv0iqrKmmhqraZmHetJVPUPk0SVTz2qPMrLy/nwww95//33WbNmDUajkQsuuIBZs2Zx4YUXEhsb2+JA7HY79913H7W1tY2uN378eEaOHMn06dNZv34906dPJzk5mTFjxrT4WiIiIiIS2g5UuG9kIi1RlZvlTlRt369ElYiEnwaHgfLqaCDyElWJsQ3EWRqotUaxv8xCbnZt0wcBLlf4VVT5lKh67bXXeP/99/nqq68wGAycd955zJgxg4suuoiEhIQ2CeQvf/kL8fGNP3BfffVVzGYz06ZNIyoqitzcXIqKili4cKESVSIiIiIRymo3UlETmYmqnp3cNy47D8ThcICpeQ/dRUSCWtnhaFwuAwCpifYAR9O+DAZ3VdX2/QnsK4vxOVG1pyyWyjoz0SYnvbKq/Bxl+/ApUfWHP/wBk8nEmWeeyciRI+nQoQMul4uPPvrouPv/8pe/bFYQq1evZtmyZbz11lsMHz7c+/qaNWvIy8sjKupomEOGDOGZZ56htLSUtLS0Zl1HREREREKfZ9pfdJSTlITIupHJSa3DHOXA1mBi96FYumfWBTokEZE245n2l5JgC4um4M2VnWJl+/6EZjVU//ZII/Xe2VWYo8Ljz8znqX8Oh4PVq1ezevXqk+5nMBialaiqqqpi0qRJTJ06lezs7EbbiouL6d27d6PXMjIyANi3b1+rElV1dZH1oe4Zb6SNG1ow9tpaTDYbWK0Q1azZsUHFarU2+jWStMfYrVaw2w1E+fHDwG53X8Nq9e0aVpuN5q8RIiISen447c9gCHAw7cxkglOyatmyJ5Ht++OVqBKRsBKp/ak8so/0qdpX6ntD9U17w6s/FfiYqPr444/9FsC0adMYNGgQl19++THb6uvrMZvNjV6zWNy3Ya29AS0sLGzV8aEqUscNvo/dWF1NanExjpoanK3ouxYsSkpKAh1CwPhz7DabgYMHY7FYnERH+ydZ5U5SGdmzpw6zuelrGOvqSPJLJCIiwSVSG6l79MyuYcueRHYUxzOSQ4EOR0SkzUR6oqpTC1b+27jbnajqF2mJqpycHL9c/K233mLNmjW8++67x90eExODzdb4H6gnQRUX17olebt3796q5u+hpq6ujsLCwogbN7Rg7JWVmNavh+RkiA/dRqVWq5WSkhIyMjK8Cd5I0R5jt1qhqspAbKyL6Gi/XAK7HerqDHTu7MKXYVjLy/0TiIhIkDlQHtmJqt6d3A3VPZVlIiLhwpOoSo/QRFV2ypGKqjLfElUuF3x7pKLqtJwIS1Rde+21TJ06lVNPPdXnE2/YsIGZM2fyyiuvnHCfN954g9LS0kZ9qQAefPBBFi9eTKdOnY6piPB8n5mZ6XMsxxMbG9vqZFcoitRxQzPGbreD2QwWCz5lB4KcxWKJuESVh7/HHh3t/jL78T6hoaEZ/xT9GYiISBDxVlR1iMxE1V2X7aTOZuLaYXsDHYqISJtSRZU7UeVrj6riihjKqi2YjE76dgqPRurgY6Lquuuu4+abb6Z///78/Oc/Z8SIEcetTKmuruaLL75g2bJlbNq0iQcffPCk5509ezb19fWNXrv44ouZOHEil156Ke+99x5Lly7F4XBgOrKkycqVK+nRo4caqYuIiIhEqAOVkV1R1T2zjgW3bwh0GCIibe7Q4chOVGUfmfrna0WVp5qqV+ZhLNFOv8XV3nxKVF1yySXk5eWxYMECpk6dSkNDAz179qRz587ExsZSVVVFcXEx3333HVFRUVx55ZXMmjWLjh07nvS8J6qKSktLIycnhzFjxrBo0SKmTJnCzTffzDfffMOSJUuYPn1680cqIiIiImGhOMKn/omIhKuDRx5ERGqiyltRVeZbRdW3e45M++sSPtP+oBmr/qWmpjJ16lTuvPNOPvjgA1atWsXu3bs5fPgwKSkp5Obmct1113HhhReSkpLSJsGlpaWxaNEiZsyYQX5+Punp6UyaNIn8/Pw2Ob+IiIiIhB7P1L+sFCWqRETCSaRP/fP0qKqoMVNnNRJrOXmV1MY9yUB49aeCZiSqPFJSUrj66qu5+uqr/REPW7dubfT9gAEDWLZsmV+uJSIiIiKhJ9JX/RMRCVeRnqjqEN9ArNlBnc3E/vIYTsmqPen+mzwVVWG04h+AMdABiIiIiIg0hxJVIiLhKdITVQYDZKf6tvJfSZWFkqoYjAZXWDVSByWqRERERCSE2OwGyqvdNzJKVImIhJdIb6YOvvep8vSnOiWjmjiLw+9xtSclqkREREQkZJQcabQbZXKSkmAPcDQiItJW6m1Gquvc3YnSkyL3QUR2im8r/23c7U5U9e9S4e+Q2p0SVSIiIiISMjwr/mV0sGLUT7IiImGj9Eg1lcnopEN8Q4CjCRxvRVX5ySuqNu1NBqBfmDVShxYkqvbt2+ePOEREREREmnS0P1XkTgsREQlHP+xPZTAEOJgA8rVHlWfqX/8uSlRx0UUXMX78eN59912s1sgtxxMRERGR9udJVGUdWcJbRETCw8FK9acC6JTqzrPsP0miqrTazP6KWABO7aREFbNnzyYqKorf/e53nHfeeTzwwAOsX7/eD6GJiIiIiDSmFf9ERMJTpK/455Gd0vTUv01Hqql6pFeTEBNejdShBYmq0aNHs3DhQj799FNuvfVW1q1bx9VXX81Pf/pTnn32WQ4cOOCPOEVEJMTs3buXPn36HPP12muvAbB582bGjh3LoEGDGD58OIsXL250vNPpZN68eQwdOpSBAwdy4403UlRU1Gifps4hIuFHiSoRkfCkRJVbJx+m/m08kqg6rXNFe4TU7lrcgjI9PZ0JEyawfPly/v73v5ORkcHcuXMZMWIEt99+O2vXrm3LOEVEJMRs3boVi8XCv//9b7744gvv1+WXX055eTnjx4+ne/fuvPHGG9x111088cQTvPHGG97jFyxYwNKlS3n44YdZtmwZBoOBCRMmYLO5f3jx5RwiEn7Uo0pEJDwpUeWWfWTqX3m1mXrb8VM233oTVeE37Q8gqjUHr1mzhrfffpsPP/yQw4cPc95553HhhRfy6aefMnbsWCZNmsT48ePbKlYREQkh27Zto0ePHmRkZByzbcmSJZjNZqZNm0ZUVBS5ubkUFRWxcOFCxowZg81m47nnnqOgoIBhw4YBMHfuXIYOHcqKFSsYPXo0r7766knPISLhqVgVVSIiYcmTqEqP8ERVcrydGLODepuJ/WUW0uLqjtnn2z3JAPQP00RVsyuqioqKmDdvHiNHjmTcuHGsXLmS6667jn/9618sWrSIa6+9loULFzJ69Gieeuopf8QsIiIhYOvWrfTs2fO429asWUNeXh5RUUeflwwZMoSdO3dSWlrKli1bqKmpYciQId7tSUlJ9OvXj9WrV/t0DhEJT5r6JyISng4dVkUVgMHwwz5Vx07/q6iJZk9ZHAD9wjRR1eyKqksuuQSLxcLIkSN56KGHOPfcc4+73ymnnEJhYWFr4xMRkRC1bds20tPT+fWvf01hYSHdunXjjjvuYOjQoRQXF9O7d+9G+3sqr/bt20dxcTEA2dnZx+yzf/9+gCbPkZaW1uLY6+qOfXIVzjzjjbRxQxiNvbYWk80GVitENf3jnWfl5lBcwflAuftGJjX+cIviD+Wxt4bVZuPEbXlFRAJPU/+O6pRqZeeBePaVxdA/p/G2TXvd0/66pNWQFNsQgOj8r9mJqj/84Q/8/Oc/JzEx8aT73XHHHdxxxx0tDkxEREKXzWajsLCQ2NhYJk2aRFxcHO+88w4TJkzg+eefp76+HrPZ3OgYi8V9C2W1Wr1Jg+PtU1npfnLU1DlaI1IftETquCH0x26sria1uBhHTQ3O2FifjyspKfFjVG3P7jBSVu3+f26v3sHu3fUtPleojb21jHV1JAU6CBGRkzhYqUSVx8lW/vM0Ug/XaX/QgkTVBx98wJAhQ46bqNqyZQsFBQW8++67bRKciIiEJrPZzOrVq4mKivImk/r378+OHTtYvHgxMTEx3qboHp7kUlxcHDEx7jJnm83m/b1nn9gjN+FNnaM1unfv7r1OJKirq6OwsDDixg1hNPbKSkzr10NyMsTHN7m71WqlpKSEjIwMb4I3FOwtdb8fmIxOTu+TjrEFywKF6thby1peHugQREROShVVR2V7Vv4rPXbq36Ywb6QOPiaq1qxZg8vlAuCrr75i9erVlJWVHbPfJ598wu7du9s2QhERCUnHSxb17t2bL774gqysrGOqGTzfZ2Zm0tDQ4H2ta9eujfbp27cvQJPnaI3Y2NhWJ7tCUaSOG8Jg7HY7mM1gsbi/fGSxWEIqWVNR564Jyki2ERvburhDbeyt9qMKVBGRYOJyKVH1Q52OrPx3vB5VG72Jqor2DKld+ZSoev3113nrrbcwGAwYDAamT59+zD6eRNZll13WthGKiEjI2bJlC9dccw0LFy5k8ODB3tc3btxIz549OfXUU1m6dCkOhwOTyQTAypUr6dGjB2lpaSQmJpKQkMCqVau8iaqqqio2bdrE2LFjAcjLyzvpOUQk/BQfmQKR2SGy+kuJiIS76joTtgb3z3NKVB2d+revrHGi6nBdFEWHEgBVVDFlyhR+9atf4XK5uP7663nggQeOWcnJaDSSlJREr169/BKoiIiEjt69e9OrVy+mT5/Ogw8+SEpKCq+++irr16/n9ddfp2PHjixatIgpU6Zw8803880337BkyRLvgxCz2czYsWOZPXs2qamp5OTkMGvWLLKyshg1ahQAY8aMOek5RCT8aMU/EZHw5KmmijE7iLM4AhxN4HVKPX6PKk8j9ZyUWlLi7e0eV3vxKVGVmJjI2WefDcBf//pXTjvtNOJ96H8gIiKRyWg08vTTTzN79mzuvvtuqqqq6NevH88//zx9+vQBYNGiRcyYMYP8/HzS09OZNGkS+fn53nNMnDiRhoYGpk6dSn19PXl5eSxevNjb8yotLa3Jc4hIePEkqrJSlKgSEQknhw67f75LT7JhMAQ4mCCQfWTq348rqr49Mu2vXxhXU4GPiaq33nqLYcOGkZKSwr59+9i3b99J9//lL3/ZFrGJiEgIS01NZebMmSfcPmDAAJYtW3bC7SaTiYKCAgoKClp8DhEJL6qoEhEJT4eq3O/vmvbn5qmoKjtsxmo3Ak7gaKIqnKf9gY+Jqt/97ne8+uqrpKSk8Lvf/e6k+xoMBiWqRERERKTNHahwP3FXokpEJLwcrFQj9R9KSbBjiXZgtZsorrAAdcDRRur9laiCjz/+mPT0dO/vRURERETamyqqRETC09EV//T+DmAwQHaKlcKSOA5UxJBAHTVWEzsPehqpVwQ2QD8z+rJTTk6OtydITk4O8fHxfPfdd+Tk5JCTk4PT6eTjjz8mMTGRnJwcvwYsIiIiIpGp+Mgy3UpUiYiEl6OJKlVUeWR7G6q7P/s27+2Ay2Ugs0MdHRPD+8/Jp0TVD23fvp3LLruMP/7xj97X9u7dy6xZs/jVr37Fnj172jRAERERERFQRZWISLhSoupYnj5Vns++SOlPBS1IVP35z38mJyenUfPaIUOG8Nlnn9GxY0dmzZrVpgGKiIiIiNgbDJQeVo8qEZFwpETVsbKPrHDrqajyJqpylKg6xvr167nzzju9Pas8UlNTufXWW1m1alWbBSciIiIiAkcb7ZqMTtLCfMqDiEik8SSq0pWo8jphRVUXJaqOYTAYqKmpOe42m82G3W5vdVAiIu3J5YJ6W7PfDkVEpB15flBP72DDZApwMCIi0qYOHVZF1Y95elQVV8RQbzex/UAioIqq4zrnnHNYsGABZWVljV4vKyvj6aef5pxzzmmz4ERE2sNtCwaQMe5i/vV1WqBDERGRE1B/qsi1YMECxo0b1+i13//+9/Tp06fR1wUXXODd7nQ6mTdvHkOHDmXgwIHceOONFBUVtXfoIuIjTf07VqdU9+ddcUUM20sScboMdEysJ7NDfYAj87+o5h5QUFDAFVdcwUUXXcSgQYNITU2lvLyc//3vf1gsFubMmeOPOEVE/Ob9tRkcrotmzKODWTnrS/p2rg50SCIi8iNKVEWmF154gXnz5pGXl9fo9a1bt3LbbbcxduxY72umH5TaLViwgKVLl/LII4+QmZnJrFmzmDBhAsuXL/euZi4iwcHpxNuDUImqo7JTPBVVFrYWH+1PZTAEMqr20eyKqi5durB8+XKuvvpqamtr2bhxI1VVVVx11VW89dZb9OjRwx9xioj4RYPDwN4yd4PCihozo/94tveJjoiIBI9iJaoiyoEDB7j55pt54oknjrm/cDgcbN++ndNPP5309HTvV2pqKuBuR/Lcc89x1113MWzYMPr27cvcuXM5cOAAK1asCMRwROQkyqujcTrd2Rf1IDzK06Oq9LCFjXvd72+R0J8KWlBRBZCens7999/f1rGIiLS7vaUxOJ0GoqOcdE6r4/vieH45I4+PH16JJdoZ6PBEROQIVVRFlm+//ZYOHTrwzjvv8OSTT7J3717vtsLCQqxWK7m5ucc9dsuWLdTU1DBkyBDva0lJSfTr14/Vq1czevRov8cvIr7zPCROirNjjnYFOJrgkZpoxxzlwNZg4r873IvZRUJ/Kmhhoqq4uJh169Zhsx3NdjqdTurq6lizZg1z585tswBFRPxp18FYALp2rOOdqV/xk/vP58vNqdw0byAv3vO/iCitFREJBZ5EVZYSVRFhxIgRjBgx4rjbtm3bhsFgYMmSJXz++ecYjUaGDRvG3XffTWJiIsXFxQBkZ2c3Oi4jI4P9+/f7PXYRaR71pzo+gwGyU60UlcRRUef+DDytsxJVx/X+++9TUFBAQ0MDhiN3cC6Xy/v7U045pW0jFBHxo6KSI4mq9Dr6da3m9fvX8NNp5/C3zzrTq1MND16zLcARiogIqKJKjvruu+8wGo3k5OTw9NNPU1RUxJ/+9Ce2bdvGkiVLqKurAzimF5XFYqGysnU3eZ5zRxLPmCNt7GEz7tpaTDYbWK0Q5dvtv9VqbfSrv+0vOzLtL8Habtc8nvYety+yOtRRVBIHQHKclY7xFdh8yOfZ7QasVhe+DsVqs2FpRZxtrdmJqmeeeYZ+/foxbdo0/va3v9HQ0MAtt9zCZ599xty5c5k8ebI/4hQR8QtPRVW3jFoARg46xFO3b+CWJwcy7ZU+9Myu4drhe092ChERaQdKVInHXXfdxQ033EBSUhIAvXv3Jj09nauuuooNGzYQE+PuPWmz2by/B/fNZ2xsbKuuXVhY2KrjQ1mkjj3Ux22sria1uBhHTQ3OZv77Lykp8VNUjX1X6P6/HG+uYPfu3e1yzZNpr3H7IimmDHCvTJ7bscTn2CoqTMTHW6mpcfi0v7GujqSWBukHzU5U7dy5k9mzZ9OvXz/OPfdcFi1aRG5uLrm5uZSWlvL0009z3nnn+SNWEZE2t+vQ0YoqjwmX7GLbvnhm/70nN84bSPeMWs7rVx6oEEVEBCWq5CiDweBNUnn07t0bcLco8Uz5KykpoWvXrt59SkpK6Nu3b6uu3b1791Ynu0JNXV0dhYWFETf2sBl3ZSWm9eshORni4306xGq1UlJSQkZGBhaL/+tsnGvd/2c7pxvp0qWL3693Iu09bl/kdjKwYoP792ecUkNmZoZPx0VFGcjOdnFkjYkmWcuD616n2Ykqo9FIcnIy4H6j/v7773E6nRiNRoYOHcqbb77Z1jGKiPiNp5S2W3rjsu5Hr9vM9v3xvPXfbH45M4//zvqC3OzaQIQoIhLxGhwGbw8TJark3nvvpaKigsWLF3tf27DBfSfXs2dPunTpQkJCAqtWrfImqqqqqti0aRNjx45t1bVjY2OJi4tr1TlCVaSOPeTHbbeD2QwWi/urGSwWS7skbMpr3H++mSmOoEgQtde4fdE5vcH7+wFdqzGbfYsrOrqZf+Xm4Fr13NjcA0455RTWrl0LuBNVdrudzZs3A+4PAJsvEyZFRIKEt5n6jxJVJhO8dM//ODO3gkNVFi576GzKq6MDEaKISMQ7WGnG5TJgNLrUbFe47LLL+PLLL3nqqafYtWsXn332GZMnT+ayyy4jNzcXs9nM2LFjmT17Nh9//DFbtmzht7/9LVlZWYwaNSrQ4YvIj6iZ+ol1Sq33/v60LpHRSB1akKi6+uqrmTdvHnPmzCEhIYFzzjmHyZMn8+KLL/LYY49x2mmnNet8paWlFBQUMGTIEM444wxuueUWtm/f7t2+efNmxo4dy6BBgxg+fHijJyciIq3hckGRt0fVsY0y42McvDv1Kzp3rGPLnkSuePQs7A1aBlBEpL15pv11TLRhMgU4GAm4Cy+8kCeeeIIPP/yQyy+/nClTpnDxxRczc+ZM7z4TJ07kiiuuYOrUqVxzzTWYTCYWL158TIN1EQk8JapOzJOoSrDY6ZIaObM7mj3178orr8Rms7Fnzx4A/vjHP3LLLbcwY8YMcnJymDJlSrPOd/vtt2M0Glm4cCFxcXE88cQT3HDDDaxYsYL6+nrGjx/PyJEjmT59OuvXr2f69OkkJyczZsyY5oYuItJIeXU0NfXut8EuHY+/okunNCvL//AV5//uPP71TTq3P3U6C3/zTXuGKSIS8TyJqqyU+ib2lHD06KOPHvPaJZdcwiWXXHLCY0wmEwUFBRQUFPgzNBFpA0pUndh5p5YxpHcZA7NLMETQ8/JmJ6oArr32Wu/vu3btyvvvv095eTmpvnbqOqK8vJzOnTtz++2306tXLwDuuOMOfvGLX/Ddd9+xcuVKzGYz06ZNIyoqitzcXIqKili4cKESVSLSakUl7mqqzOR6YszOE+43sEcVS+9by89nnM3iFd3ok1PDxNE72itMEZGId7SRum5iRETCjRJVJ5YQ6+CDB75k06ZAR9K+WpSoAvjss89Yu3YtlZWVdOzYkXPPPbfZiaqUlBTmzJnj/f7QoUMsXryYrKwsevbsyV/+8hfy8vKIijoa5pAhQ3jmmWcoLS0lLS2tpeGLiJywP9XxjM4rYe5N3/J/C/tz/5JT6dqxhp7xxf4OUURE0Ip/IiLh7NBhd6IqPUnv8eLW7ERVRUUFEyZMYMOGDURFRZGcnExFRQULFixg6NChzJ8/v0Vzv//whz/w6quvYjabeeqpp4iLi6O4uNi71KxHRoZ7OcZ9+/YpUSUirVJ00L3CiC+JKoC7LtvJtr3xPPmPHoyfdyY3Dd1KfKzTf/1SXC7Oyy2mP5rqIiKRrbhciSoRkXBkbzBQWeNesEgVVeLR7ETVzJkz2bVrF/Pnz+eiiy7CYDDgdDr56KOP+MMf/sDcuXO5//77mx3I9ddfz1VXXcUrr7zCnXfeycsvv0x9ff0xSS/PMpFWa+t+UKmr8+3GNFx4xhtp44YWjL22FpPNBlYrRLW46DDgPP9HWvt/JRT5Ovadxe73l86p1T7/Of3punV8ty+WD9dnMf/jfq0L1AcXnZrM+Wet8mlfq81GcCykKyLStlRRJSISnkqPVFMZjS6S4+0BjkaCRbPvwj/77DPuu+8+Ro4c6X3NaDRy8cUXU1ZWxvz581uUqOrZsycADz30EOvXr+ell14iJiYGm61xVtVzMxkXF9fsa/xQYWFhq44PVZE6bvB97MbqalKLi3HU1OCMjfVvUO2gpKQk0CEETFNj37JrAAAJUfvYvXu3z+d99P8V0y05j627UzAa3R+s/mDAxcW9NrNnzx7M5qavYayrI8kvkbTezp07+dWvfsUf/vAHfvWrXwHuVV1nzJjBxo0bSU5OZty4cdx0003eY5xOJ/Pnz+e1116jqqqKs846iwcffJBu3bp592nqHCISHpSoEhEJTwcr3Ymq1ASt6ipHtahcpGPHjsd9PTs7m9pa35dMLC0tZeXKlfzsZz/DdORfpdFoJDc3l5KSErKyso650fR8n5mZ2ZLQvbp3705sGCQhfFVXV0dhYWHEjRtaMPbKSkzr10NyMsTH+zs8v7FarZSUlJCRkeGtRIwUvo69tMb9Xjawl5kuXbo06xqzu+5i06bdxMa6iI5uVbgnZLdDXZ2Bzp0748tfobW83D+BtJLdbue+++5r9PlQXl7e5KquCxYsYOnSpTzyyCNkZmYya9YsJkyYwPLlyzGbzT6dQ0TCw9FV/5SoEhEJJ2qk7j+hnPhrdqIqPz+fp556irPPPpv4H9zENzQ08NJLL5Gfn+/zuUpKSrj33ntJS0vj3HPPBdw3NJs2bWLEiBF07NiRpUuX4nA4vImslStX0qNHj1b3p4qNjW11VVYoitRxQzPGbreD2QwWCz5lB4KcxWKJuESVR1Nj33XI/e8ht1NDi/6MoqPdXy1oy+ezhoZm/FP0ZyCt8Je//KXR5wXg7Ul4olVdbTYbzz33HAUFBQwbNgyAuXPnMnToUFasWMHo0aObPIeIhA9VVImIhCclqtqewwFGU4QlqmJiYigsLGTEiBGMGDGCjIwMysvL+eKLLyguLqZDhw78/ve/B8BgMDBz5swTnqtv376cf/75TJ8+nYcffpikpCSefvppqqqquOGGG7BYLCxatIgpU6Zw8803880337BkyRKmT5/e8hGLiAD1NiMHKmIA6JbueyWoNM/q1atZtmwZb731FsOHD/e+vmbNmpOu6rp3715qamoYMmSId3tSUhL9+vVj9erVjB49uslzaMENkfDgcBxdEUqJKhGR8KJEVdtzOMBkDOl2y81PVL3zzjskJCQAsGpV4wa/WVlZrFu3zvu9wWA46bkMBgOPP/44jz32GHfffTeHDx9m8ODB/O1vf6NTp04ALFq0iBkzZpCfn096ejqTJk1qVtWWiMjx7DnkTlLFWRpITVTjRn+oqqpi0qRJTJ06lezs7EbbmlrVtbi4GOCY4zIyMti/f79P52hNoirSFp7QghthMPZmLgQSSgtuFJdbcDoNGAwuEi2HsVpb1xcwlMbelrTghogEIyWq2p7T6a6miqiKqn/9619tGkBiYiLTpk1j2rRpx90+YMAAli1b1qbXFBEpOuie9tcto44mcurSQtOmTWPQoEFcfvnlx2xralVXT9LgePtUVlb6dI7WiNSFJyJ13BD6Y2/pQiChsODG5r3ufoIp8XXs37erzc4bCmNvS8G84IaIRC5PxWy6ElVtxuFwJ6kiqqKqKTt27CA3N7etTysi0qZ2HXTfyHXtGOJVFEHqrbfeYs2aNbz77rvH3d7Uqq4xMe6KN5vN5v29Zx/Pogj+XBk20hae0IIbYTD2Zi4EEkoLbmwpcy+gk51ib/bCF8cTSmNvS8G64IaIRDZVVLU9h8Pd3zaUH8Y3O1FVUVHBnDlzWL16NXa7HZfLXX7tcrmora2lsrKSzZs3t3mgIiJtqajEfUPaLUOJKn944403KC0tbdSXCuDBBx9k8eLFdOrU6aSrujY0NHhf69q1a6N9+vbtC+DXlWEjdeGJSB03hMHYW7gQSCgsuFFe4245kZVqa9NYQ2HsbSpIF9wQkch2sNL9PqxEVdvxJKpCWbMTVY888gjLly/nggsu4Pvvvyc2Npbu3buzdu1aqqqq+OMf/+iPOEVE2pS3oipdiSp/mD17NvX19Y1eu/jii5k4cSKXXnop77333klXdU1MTCQhIYFVq1Z5E1VVVVVs2rSJsWPHApCXl+e3lWFFJHgcqHAnWLLUSF1EJOyooqrtORyh/2zC2NwD/v3vf/Ob3/yGp556iquvvpqsrCwef/xx/vnPf9KnTx+2b9/ujzhFRNpUkRJVfpWZmUm3bt0afQGkpaWRk5PDmDFjqK6uZsqUKWzfvp0333yTJUuWcOuttwLu3lRjx45l9uzZfPzxx2zZsoXf/va3ZGVlMWrUKIAmzyEi4eFAhfuxsFb8ExEJP0pU+Uco96eCFiSqqqqqOOusswDo1asXGzduBCA+Pp4bb7yRTz/9tE0DFBHxB09FVbf02gBHEpnS0tJYtGgRO3fuJD8/n/nz5x+zquvEiRO54oormDp1Ktdccw0mk4nFixd7G6j7cg4RCX3F5e4+dUpUiYiEHyWq/CPUE1XNDj8lJYXDhw8D0K1bN0pLSykvLyclJYXMzEwOHDjQ5kGKiLQlp1NT/wJh69atjb5valVXk8lEQUEBBQUFJ9xHK8OKhD9VVImIhKdaq4k6m7t9gxJVbetIV4yQ1eyKqnPPPZenn36aPXv20LlzZ5KTk3nzzTcB+OSTT0hJSWnzIEVE2lJJpQVbgwmj0UVOWn3TB4iISMB4elQpUSUiEl481VTRUU4SYxsCHE14cDrBaAz9iqpmJ6r+7//+j9LSUn73u99hMBi45ZZbmDVrFmeffTYvvPACY8aM8UecIiJtxrPiX6fUeqKjXAGORkRETkYVVSIi4cmTqEpPsmIwBDiYMNHQ4K6mCvWKqmbn2XJycvjHP/5BYWEhAOPHj6djx46sW7eOAQMGqDeIiAS9o/2pNO1PRCSYORxwsMqdqMpKUaJKRCScqD9V2wuXiqoWhR8TE0Pfvn29319++eVcfvnlbRaUiIg/HV3xT43URUSCWelhM06nAYPBRXoH3ciIiISTg5VKVLU1hyM8Kqp8nvpnt9t54YUX+OCDDxq97nA4GD16NM8++yxOp7PNAxQRaWuqqBIRCQ3F5e5qqrREG1EmTdUWEQknqqhqew4HREe7q6pCmU/h22w2brvtNv70pz+xYcOGRtvKy8uxWCzMmTOHO+64g4YGNUETkeC262AcoBX/RESCnfpTiYiELyWq2p7DAWZzoKNoPZ8SVcuWLWPNmjXMnTuX++67r9G2jh078uabbzJ79my++OILXn/9db8EKiLSVjzN1JWoEhEJbkpUiYiELyWq2p7DARZLoKNoPZ8SVX//+9+54YYb+OlPf3rCfS677DL+3//7f0pUiUjQ23XoyNS/DCWqRESCmRJVIiLhS4kq/4iKDnQEredToqqoqIhzzjmnyf0uuOACioqKWh2UiIi/VNeZKDvs/lBURZWISHA7mqjSTYyISLg5dORn8nQlqtpUVIg3UgcfE1VRUVHY7Xaf9jMYDK0OSkTEXzyN1JPjbSTFqaeeiEgw8ySqslLqAxyJiIi0NVVU+YcpKtARtJ5PiapevXqxatWqJvdbtWoVnTt3bnVQIiL+UqRG6iIiIUNT/0REwtfBSiWq2pLTCQZDBFVU/eIXv+CVV17hm2++OeE+GzZs4G9/+xs/+9nP2iw4EZG25qmoUn8qEZHgV6ypfyIiYcnlUkVVW3M4wGQKj4oqn4ZwxRVXsHz5csaNG8cVV1zB8OHD6dy5M06nk7179/L555/z6quv0qdPH8aNG+fvmEVEWsy74l9HJapERIKdKqpERMJTZU0UDqe7biYtUYmqtuBJVIVDRZVPiSqDwcAzzzzDzJkzWbZsGS+//LJ3m8vlIioqiiuvvJJ77rmHmJgYvwUrItJaqqgSEQkNTufRaSFKVImIhBdPNVV8TAOxFmeAowkPDgcYje5kVajzuSgsJiaGP/7xj9x9993897//pbi4GKPRSE5ODkOGDCExMdGfcYqItImiI4kq9agSEQlupYfN3qftGR2UqBIRCSea9tf2nE6wWCIsUeWRmprKpZde6o9YRET8bpcSVSIiIcEz7S8t0UZ0lCvA0YiISFs6dFiJqrbmcIDZHOgo2oZPzdRFRMJBg8PA3lL39ORu6bUBjkZERE5G/alERMKXp6IqXYmqNqNElYhICNpXFoPDaSQ6yklWim58RESCWXG5ElUiIuFKU//ansulRJWISMjxTPvr0rEOo979RESCmiqqRETC18FK93u8ElVtKxz6U4ESVSISQYpK1J9KRCRUKFElIhK+VFHlH1HN7kIenJSoEpGI4amo6qZElYhI0FOiSkQkfClR1bacR9YcCZeKKp/ybdddd12zTvrXv/61RcGIiPhTkVb8ExEJGUpUiYiELyWq2pbT4U5SRUUHOpK24VNFlcvlavS1bt06/ve//+FyuejYsSNRUVFs3LiRDRs20LFjR3/HLCLSIkcrqrTin4hIsPMkqrT4hYhI+Dl0WImqtuTwJKoiqaLqxRdf9P7+hRdeoKysjMWLF5OVleV9vaysjFtuuYXOnTu3fZQiIm2gqCQOUEVVeyktLeXRRx/l3//+N1arlby8PCZNmkTPnj0B2Lx5MzNmzGDjxo0kJyczbtw4brrpJu/xTqeT+fPn89prr1FVVcVZZ53Fgw8+SLdu3bz7NHUOEQldxaqoEhEJW56KqvQkvce3BU+iKlym/jW7R9WiRYu4++67GyWpAFJTU7nttttYtmxZmwUnItJWXC7YdehIRVWGElXt4fbbb2f37t0sXLiQ119/nZiYGG644Qbq6uooLy9n/PjxdO/enTfeeIO77rqLJ554gjfeeMN7/IIFC1i6dCkPP/wwy5Ytw2AwMGHCBGw295M3X84hIqHJ6YSSCvdNjBJVIiLhpcFhoLzaPUdNFVVtI+ITVfX19TQ0NBx3W01NTasDEhHxh/LqaKrr3EWkXToqUeVv5eXldO7cmYceeojTTz+d3Nxc7rjjDg4ePMh3333Hq6++itlsZtq0aeTm5jJmzBhuuOEGFi5cCIDNZuO5557jrrvuYtiwYfTt25e5c+dy4MABVqxYAdDkOUQkdJVVm3E43T+mZnRQoirSLViwgHHjxjV6bfPmzYwdO5ZBgwYxfPhwFi9e3Gi70+lk3rx5DB06lIEDB3LjjTdSVFTUnmGLyAmUHY7G5TIAkJpoD3A04cHpBLMl0FG0nWYnqoYMGcLcuXPZvn17o9e//fZbHn/8cYYNG9ZmwYmItBVPf6r0DlZiLc4ARxP+UlJSmDNnDr169QLg0KFD3injPXv2ZM2aNeTl5RH1gzV0hwwZws6dOyktLWXLli3U1NQwZMgQ7/akpCT69evH6tWrAZo8h4iErgNHqqlSEmyYo10BjkYC6YUXXmDevHmNXmuLqlwRCZyDVUff46NMeo9vCw4HWMIoUeVTj6ofmjJlCtdeey0///nP6dKlCykpKZSWlrJnzx569erF5MmT/RGniEirFJV4Gqmrmqq9/eEPf/BWPz311FPExcVRXFxM7969G+2XkZEBwL59+yguLgYgOzv7mH32798P0OQ50tLSWhxzXV1k/TvxjDfSxg1hNPbaWkw2G1itENX0j3dWq7XRr8Fmd0kSABkd6ts8xmAfu79YbTZC6R7mwIEDTJkyhbVr19KjR49G235YURsVFUVubi5FRUUsXLiQMWPGeKtyCwoKvA/R586dy9ChQ1mxYgWjR48OxJBE5IhXPs8BoFcnzchqK04nWMyBjqLtNDtRlZ2dzXvvvcebb77J2rVrqaysJCcnh1tvvZVf/OIXREeHyXqIIhJWPP2p1Ei9/V1//fVcddVVvPLKK9x55528/PLL1NfXYzY3/jS1HHkMZLVavUmD4+1TWVkJ0OQ5WqOwsLBVx4eqSB03hP7YjdXVpBYX46ipwRkb6/NxJSUlfoyq5TZ/7178Ijmmkt27d/vlGsE6dn8x1tWRFOggmuHbb7+lQ4cOvPPOOzz55JPs3bvXu+1EFbXPPPMMpaWl7N2796RVuUpUiQTOgXIzj79zCgC/G7O9ib2lOcKlPxW0IFEFEBsby7XXXsu1117b1vGIiPiFZ8W/bhm1AY4k8nhW+XvooYdYv349L730EjExMcdMv/Akl+Li4oiJiQHcvao8v/fsE3vkJrypc7RG9+7dvdeJBHV1dRQWFkbcuCGMxl5ZiWn9ekhOhvj4Jne3Wq2UlJSQkUU3ys0AAEasSURBVJHhTfAGk4av3U/bu2ZCly5d2vTcwT52f7GWlwc6hGYZMWIEI0aMOO62tqjKbamQr75sgbCpPG2msBl3Mytuwb+Vpw8t7UtNfRSDc8v42RlFBFNxa7BW3FqtYLcbsNlOPE3SbjfgcLha/OcZbFW3LUpUlZWVsXjxYv7zn/9w8OBBFi1axEcffUTfvn0ZOXJkW8coItJqnh5VXdVIvV2UlpaycuVKfvazn2E68njHaDSSm5tLSUkJWVlZx1QzeL7PzMz0LtpRUlJC165dG+3Tt29fgCbP0RqxsbGtTnaFokgdN4TB2O12MJvdDSqakXyxWCxBmawprXb/XWSn2f0WX7CO3W/M4TMnpC2qclsq1KsvWyNSxx7q425pxS20feXp3rJEnv3QPZX3N6M+Yc8e/1TMtlawVdzW1Bg5dCiGhgbHCfepqDCRlFRPdXXLevEGW9VtsxNVu3fv5pprrsFqtXLWWWexZcsWHA4HO3fuZMGCBSxYsIDhw4f7fL6KigrmzJnDp59+SnV1NX369OHee+9l8ODBgHtFjxkzZrBx40aSk5MZN24cN910U3PDFpEI50lUdctQoqo9lJSUcO+995KWlsa5554LgN1uZ9OmTYwYMYKOHTuydOlSHA6HN5G1cuVKevToQVpaGomJiSQkJLBq1SpvoqqqqopNmzYxduxYAPLy8k56DhEJXQcq3EmHTK34J8fRFlW5LRXy1ZctEDaVp80UNuNuZsUt+K/y9I/vDMbuiGJ4/xKuvsgFtG3FbGsFa8VtVRVUVRlISzt+RZW7kbqBrl1dtPSZW7BV3TY7UfWnP/2JtLQ0XnzxReLi4ujfvz8Ajz32GFarlaeffrpZiap77rmH0tJS5syZQ2pqKi+//DI33XQTb775JqmpqYwfP56RI0cyffp01q9fz/Tp00lOTmbMmDHNDV1EIljRQfWoak99+/bl/PPPZ/r06Tz88MMkJSXx9NNPU1VVxQ033IDFYmHRokVMmTKFm2++mW+++YYlS5Ywffp0wP0UfOzYscyePZvU1FRycnKYNWsWWVlZjBo1CoAxY8ac9BwiErq8iapkJarkWG1RldtSIV992QqROvaQH3cLK26hbStPN+1K4G+fdwPg0eu3BlUi6MeCreLWYoHo6BMXxtpsEBMDcXGtWPkvyKpum52oWrlyJTNnziQpKQmHo3Hp2VVXXcXdd9/t87mKior48ssveeWVVzjzzDMB96qCn3/+OcuXLycmJuakK3qIiPjCajdSXO5+oqqKqvZhMBh4/PHHeeyxx7j77rs5fPgwgwcP5m9/+xudOnUCYNGiRcyYMYP8/HzS09OZNGkS+fn53nNMnDiRhoYGpk6dSn19PXl5eSxevNg7lSMtLa3Jc4hIaPImqlKUqJJjNVVR60tVroi0rwde7oPTaeAX5xRzTp+KQIcTVhwOdyN1H1uQhYQWDcV0gnbyNpsNg8Hg83lSUlJ49tlnvVVZ4L65cblcVFZWsnHjxpOu6KGpHSLii90H3UmqWLODtERbE3tLW0lMTGTatGlMmzbtuNsHDBjAsmXLTni8yWSioKCAgoKCE+7T1DlEJDR5ElVZqqiS42iqotaXqlwRaT9rvuvAG//phMHg4uGxWwIdTthxONxJqnBa9c/Y3AMGDx7Ms88+S23t0ZWzDAYDTqezUWWUL5KSkhg2bFijRofvv/8+u3bt4vzzz6e4uJisrKxGx/xwRQ8REV/s+sG0v2bk0kVEJACcTk39k5PzVNTu3LmT/Px85s+ff9yq3CuuuIKpU6dyzTXXYDKZGlXlikj7mfziqQCMHb6H/t0OBzia8ONwgDl4Ziq2iWZXVN17771cc801XHzxxZxzzjkYDAYWL17Mjh07KCoq4uWXX25xMGvXrmXy5MlcdNFFjBgxgkceeeSkK3q0RsgvM9pMYbO8ags0e+wtWMI1GAXr8qrt4cdj374/GoAuHavb7M/Ds0xsVNSJl4ltLbvdfQ2r1bdrBNuysiIiLVFeHU2Dw/0sNSNZVbACjz766DGvtUVVroj43yffpLFifTrRUU6mX7M10OGEJYcTLGGWg2/2XXjv3r15/fXXmT9/PqtWrcJkMvGf//yHvLw8/vSnP9GnT58WBfLRRx9x3333MXDgQObMmQM0vaJHa4T6MqMtFanjBt/H3polXINRsC2v2p48Y/92Rw4AqTEH2b27bZbBtdkMHDwYi8XiJDraP8kqd5LKyJ49dZjNTV8j2JaVFRFpCU81VXK8DUt0y5bZFhGRwHO5YPKL7gUMJlxcRI+syCuaaA9OR9D1Qm+1FpWL9OjRg8cee6zNgnjppZeYMWMGo0aNYvbs2d4qqqZW9GiNkF9mtJnCZnnVFmj22FuwhGswCtblVdvDj8deYXNPIT61h4EuXdpmGVyr1b1MbGysi+joNjnlMex2qKsz0Lmzy6cVPIJtWVkRkZY4Ou1P1VQiIqHs3a8y+e/WVGLNDqb+v+8CHU5YC+GJQMfl03BWr17drJPm5eX5vO/LL7/MQw89xLhx45g8eTJG49G2WU2t6NEaIb/MaAtF6rihGWNvxRKuwSjYlldtT56x7y1LAOCULHub/llER598qdi20NDQjH+K4fYoRUQikvpTiYiEPocDprzkrqb6v8u/JztV7+n+FE6N1MHHRNW4ceOOWc3P5Wo8DcWzWp/BYGDz5s0+XXznzp3MnDmTUaNGceutt1JaWurdFhMT0+SKHiIivigqcVfSdctQubGISLBTokpEJPQt/XcOG4uS6BBvZ9KYHYEOJ2x50jIRWVH117/+1S8X/+CDD7Db7axYsYIVK1Y02pafn8+jjz7KokWLmDFjBvn5+aSnpx+zooeIyMk4nbD70JFV/zrWNrG3iIgEWnG5O1GVlVIf4EhERKQlbHYDD7zs7l09KX87KQn2AEcUvpxOdzVVRFZUnX322X65+G233cZtt9120n2aWtFDRORkDlaasdpNGAwuOnfUTY+ISLBTjyoRkdC2eEVXvi+OJzO5nv/7+c5AhxPWHA53kioiK6rmz5/v8wkNBgN33nlniwMSEWlLRQfdfck6pdYTHeWf1flERKTtHKjU1D8RkVBVazXx0Ku9AZj6/74jPsYR4IjCW0RXVClRJSKhatfBI/2p0tWfSkQkFKhHlYhI6Jq/vDv7y2LollHLhEt2BTqcsNfQ4K6mishE1ZYtW/wdh4iIX3gaqXdVokpEJCQoUSUiEpoqqqN49I2eAEy/ZiuWaGeAIwp/DgfExsKP1r4Leca2PuHhw4fb+pQiIi2265ASVSIiocLlgpIKM6BElYhIqJn9Vi7l1Wb6dTnM2OF7Ah1ORHA4wWwOdBRtr9ktt2w2Gy+88AJfffUVdrsd15H1EF0uF7W1tWzfvp2vv/66zQMVEWmJohJ3j6puGVrxT0Qk2FXURGNrcM9fUKJKRCR0HCg38/g7pwDw8NgtYTcVLVg5HWCxBDqKttfsRNWf//xnXnrpJXr37k1ZWRkWi4XU1FS2bduG3W7nN7/5jT/iFBFpEU+PKlVUiYgEv+Jy90/bHeLtxJg1ZUREJFTMfL0XNfVR5PUq55dDigMdTkQJtxX/oAVT/z788ENuuOEG3nnnHcaNG0f//v157bXX+PDDD8nJycHp1A8VIhI8itRMXUQkZKg/lYhI6CkqieXp97sBMHPclrDrlxTswrF6rdmJqrKyMoYNGwZAnz592LBhAwCZmZnccsst/OMf/2jbCEVEWqi6zkTZYfekbVVUiYgEP2+iqoMSVSIioeKBv/XB1mBixICDjBx0KNDhRIwjXZhUUQWQmJiIzWYDoHv37uzfv5/q6upG34uIBIPdh9z9qTrE2+kQ3xDgaEREpCmqqBIRCS1fbUvmr590AeCR67YEOJrI4nSC0aSKKgAGDx7Miy++SG1tLZ07dyY2NpYVK1YA8L///Y+EhIQ2D1JEpCU8iaquHVVNJSISCpSoEhEJHU4nTHy2PwDXXbibs3tXBDagCONwgMmoiioA7rzzTtavX8+tt95KVFQUv/71r3nggQf41a9+xRNPPMEll1zijzhFRJqt6JBW/BMRCSUHKtzTtZWoEhEJfn/7rDOrtqWQENvAo9dvDnQ4EcfpdFdThWNFVbNzb3379uX9999n27ZtANx7770kJCSwbt06RowYwa233trmQYqItMTug0cqqtSfSkQkJBSXxwCQlaJElYhIMKuuM3H/klMBmHLld2Sn6n27vTkc7iRVOFZUNXtIq1evpl+/fpx33nkAGAwGbrvtNgCqqqr48MMPGT16dNtGKSLSAt6pf0pUiYiEBE39ExEJDY+83ov9ZTGcklXD3T//PtDhRCSHAywWwnKVxWZP/bvuuuvYsWPHcbdt2rSJ3//+960OSkSkLezyTP1TokpEJCQoUSUiEvy+L47jsbdOAWDOjd8SY3YGOKLI5ElUhSOfKqruv/9+72p+LpeLadOmHbdpemFhIR07dmzbCEVEWkgVVSIiocPlUo8qEZFQcN9z/bDaTYwceJCfn3Mg0OFELIcDzOZAR+EfPlVUXXLJJbhcLlwul/c1z/eeL6PRyKBBg3jkkUf8FqyIiK8aHAb2lsYC0C1DiapAqKio4IEHHuCCCy7gzDPP5JprrmHNmjXe7Zs3b2bs2LEMGjSI4cOHs3jx4kbHO51O5s2bx9ChQxk4cCA33ngjRUVFjfZp6hwiEjoqa6KwNbg7wipRJSISnD7+uiN//282JqOTxydsDMtpZ6EkHPtTgY8VVSNGjGDEiBEAjBs3jmnTppGbm+vXwEREWuNgVTwOp5Eok5Os5PpAhxOR7rnnHkpLS5kzZw6pqam8/PLL3HTTTbz55pukpqYyfvx4Ro4cyfTp01m/fj3Tp08nOTmZMWPGALBgwQKWLl3KI488QmZmJrNmzWLChAksX74cs9lMeXl5k+cQkdDhmfaXGGsn1qJpJCIiwabBYeD/Fp4GwB2XFnJa1+oARyQRnaj6oRdffPGY17755huKi4sZMmQISUlJbRKYiEhr7C13vxd16VgXlku2BruioiK+/PJLXnnlFc4880wApkyZwueff87y5cuJiYnBbDYzbdo0oqKiyM3NpaioiIULFzJmzBhsNhvPPfccBQUFDBs2DIC5c+cydOhQVqxYwejRo3n11VdPeg4RCS3FFVrxT0QkmD39fje+3ZVEWqKNaddsC3Q4AmF7n9PsZuoHDx7kuuuu48knnwTgr3/9K1dddRUTJ07k4osv5rvvvmvzIEVEmmtfeSKg/lSBkpKSwrPPPkv//v29rxkMBlwuF5WVlaxZs4a8vDyifvAYaMiQIezcuZPS0lK2bNlCTU0NQ4YM8W5PSkqiX79+rF69GqDJc4hIaFF/KhGR4FVaFc0DL/cB4KFrt5CaaA9wRJHN4QCjMXwrqpqdqPrzn//M999/z4ABA3A6nTz77LP85Cc/4a233qJnz5489thj/ohTRKRZ9h2pqNKKf4GRlJTEsGHDMP+gw+P777/Prl27OP/88ykuLiYrK6vRMRkZGQDs27eP4uJiALKzs4/Zx7O4R1PnEJHQohX/RESC14Mv96G82szp3aqYcMmuQIcT8RwOdzVVuFZUNTv/9sUXXzB58mSGDh3KunXrOHToEDNmzKBv377cfPPN3Hffff6IU0SkWfZVqKIqmKxdu5bJkydz0UUXMWLECB555JFGSSwAy5H1da1WK3V17r+34+1TWVkJQH19/UnP0Rqe60cKz3gjbdwQRmOvrcVks4HV6tPjVc//kdb+X2lLq7a637ezOtT4Na5gHHt7sNpshOkq5iLiZxsKE3nqn90BeGLCRqJMrpMfIH7ndIZ3RVWzh1VbW+t9gv3ZZ59hNpu9UzPMZnOjlQFFRAJlX5m7okqJqsD76KOPuO+++xg4cCBz5swBICYmBpvN1mg/z01jXFwcMTHuXjU2m837e88+sbGxPp2jNQoLC1t1fKiK1HFD6I/dWF1NanExjpoanEf+j/iipKTEj1H5rqQqnle/6ALA8N5r2L272P/XDJKxtxdjXR3qJCsizeVywf8t7I/TaWDMT/Zx4QC1VwgGqqj6ke7du7NmzRoGDhzIP//5T84++2zvE+x33nmH7t27t3WMIiLN5qmo6pahRFUgvfTSS8yYMYNRo0Yxe/ZsbwVUVlbWMTeJnu8zMzNpaGjwvta1a9dG+/Tt29enc7RG9+7dvQmxSFBXV0dhYWHEjRvCaOyVlZjWr4fkZIiPb3J3q9VKSUkJGRkZ3p/jAmnx0tOwO0wM6V3K5edHA138dq1gG3t7sZaXBzoEEQlBf1+ZxScbOmKJdjDrhk2BDkeOcDggNtZdVRWOmp2ouvXWWykoKGDRokXU1dXxwAMPAHDllVfy7bffMnv27DYPUkSkOVyuoz2qVFEVOC+//DIPPfQQ48aNY/LkyRh/8Emal5fH0qVLcTgcmI48Clq5ciU9evQgLS2NxMREEhISWLVqlTdRVVVVxaZNmxg7dqxP52iN2NjYVldlhaJIHTeEwdjtdjCbwWJxf/nIYrEEPFlTZzWy8MNcAO7N39lu8QTD2NvVj6ZKi4g0pd5m5N7nTgOgIH8HPbL0c3WwcDjC+2292YmqSy+9lMzMTNauXcvZZ5/NoEGDABg8eDATJ05k6NChbR2jiEizVNREU2N1v3MrURUYO3fuZObMmYwaNYpbb7210Sp8MTExjBkzhkWLFjFlyhRuvvlmvvnmG5YsWcL06dMB91TysWPHMnv2bFJTU8nJyWHWrFlkZWUxatQogCbPISKh4cVPOlN62Ey3jFp+OcT/U/5ERMQ3j7/bm8KSOHLS6vjdFdsDHY78gMPRrOdSIadFrbfOOusszjrrrEav3X///W0SkIhIa+0+5K6K6JhoJc7iCHA0kemDDz7AbrezYsUKVqxY0Whbfn4+jz76KIsWLWLGjBnk5+eTnp7OpEmTyM/P9+43ceJEGhoamDp1KvX19eTl5bF48WLv9MG0tLQmzyEiwc3phMffPQWA/7t8pxr0iogEieKKeP78d3e7hT/fsJn4GP1MHWyiogMdgf+0KFH15Zdf8sknn1BXV4fT6Wy0zWAwMHPmzDYJTkSkJXYddCequqbXBDiSyHXbbbdx2223nXSfAQMGsGzZshNuN5lMFBQUUFBQ0OJziEhw++B/GWzenUhirJ2bRmm5cxGRYDH7vaHUWqP4Sd8yrrlgb6DDkeOIDtMV/6AFiapFixYxe/ZsLBYLqampGAyGRtt//L2ISHvzVFR16ahpfyIiwWzu2+5qqpsv3kVSXEOAoxEREYD/bk3l7bWnYjC4mHfLRnSLH5zCdcU/aEGi6m9/+xuXX345M2bM8E6/EBEJJkcrqmoDHImIiJzIhsJEVqxPx2h0MfGynYEOR0REcE/Jvvf5QQBcN7yQs3pWBjYgOYbTCQYDRIVxRVWzFzMsLS3liiuuUJJKRILW0YoqJapERILV4++4q6l+NWQ/3TNVASsiEgxWbUth7Y5U4i02pl+zMdDhyHE4HO5qqnCuqGp2oqpfv3589913/ohFRKRN7DqkHlUiIsHsQLmZv32WA8Bvf/F9gKMRERGPlVtSADi31y6yUqwBjkaOx5OoCueKqmYPbfLkydx9993ExcUxcOBAYmNjj9mnU6dObRKciEhLqEeViEhwe+r97ljtJs7pXc65fcsDHY6IiByxalsyAAO7Fgc2EDkhhwOMxvCuqGp2ouqaa67B6XQyefLkEzZO37x5c6sDExFpCavdyP5ydwJdU/9ERIJPvc3Igve7A+5qKjXpFREJHqu2uSuqBnXbD+gNOhg5nWCxuJNV4arZiaqHH37YH3GIiLSJPYdiALBENZCeZAUsgQ1IREQa+dunORystNA1vZYxP9kf6HBEROSI4nILRSVxGAwu+nc5AGQFOiQ5DofDnagKZ81OVOXn5/sjDhGRNlFY4p721ymlSk/pRUSCjMsFc480Ub/rsp1EmVwBjkhERDxWbU0GoF/nKhJi7IENRk4oEhJVYVwsJiKR6ItNqQD06XQowJGIiMiPrVifzre7kkiIbeDmUbsCHY6EuL1799KnT59jvl577TXA3Y5k7NixDBo0iOHDh7N48eIARywS3DzT/vJ6lQU4EjkZlwuiogMdhX/5VFHVt2/fE/aj+jGDwcCmTZtaFZSISEv9c106ABf0KQxsICIicoy5b7urqW4cuYvkhIYARyOhbuvWrVgsFj766KNG9yqJiYmUl5czfvx4Ro4cyfTp01m/fj3Tp08nOTmZMWPGBDBqkeDlaaSuRFXwiwrjRurgY6Lqzjvv9DlR1RoLFixg5cqVvPjii97XNm/ezIwZM9i4cSPJycmMGzeOm266ye+xiEjoKa2K5qvv3E+Czu9bBKQENiAREfHatCuBf67LwGBw8X+X7wx0OBIGtm3bRo8ePcjIyDhm25IlSzCbzUybNo2oqChyc3MpKipi4cKFSlSJHIfDgffn6HN6lQY4GmmKqdlNnEKLT8O76667/B0HL7zwAvPmzSMvL8/7mp6EiEhzfPR1Ok6ngdO6VJKdXI0SVSIiwePxI72pfnlOMadkaVVWab2tW7fSs2fP425bs2YNeXl5REUdvd0ZMmQIzzzzDKWlpaSlpbVXmCIhYfOeRKrrokiIbeDUzlXs2xfoiOR4nC4wGFRR5XcHDhxgypQprF27lh49ejTa9uqrr+pJiIj47P217ieqFw8qDnAkIiLyQwcrzfz1k84A3PPL7wMcjYSLbdu2kZ6ezq9//WsKCwvp1q0bd9xxB0OHDqW4uJjevXs32t9TebVv374WJ6rq6upaHXeo8Yw50sYeNuOurcVks4HVClEnvv3/4ttsAM48pYyGBisAVqu1XUIMFp7xBtu4rVaw2w3YbC4aGsDpNNDgcNGWYVpttqBaKz3giapvv/2WDh068M477/Dkk0+yd+9e7zY9CRERXzmdR/tTXXyGElUiIsHk6fe7YbWbGNyzgvNOVe8TaT2bzUZhYSGxsbFMmjSJuLg43nnnHSZMmMDzzz9PfX09ZrO50TGWI8tkteYmtLCwsDVhh7RIHXuoj9tYXU1qcTGOmhqcsbEn3O/T9X0A6JtZRElJCYD310gTbOOuqTFy6FAMDQ0O7HYDdruB4v31REe33cq5xro6ktrsbK0X8ETViBEjGDFixHG3+etJCIRBZryZwuaJQAs0e+w+PnUIdsH6RMBfvt7ZgQMVMcRbGjirxz4qy/07ds+Tjago/y2tbre7r2G1+naNYHsSIiICYLUbefIf3QG45xc7aIe2pxIBzGYzq1evJioqypuQ6t+/Pzt27GDx4sXExMRgs9kaHeP5uSAuLq7F1+3evTuxJ7nZD0d1dXUUFhZG3NjDZtyVlZjWr4fkZIiPP+Fum/Z3AeCiM+1kZGRQUlJCRkaGN8EbCaxWa1COu6oKqqoMpKW5qKtzr/rXrTuYjG13DWt5edudrA0E9V24v56EQOhnxlsqUscNvo/d16cOoSLYngj4y2ufZQFwTs8iKsvdFVX+HLvNZuDgwVgsFmebPs34IXeSysiePXWYzU1fI9iehIiIALzyeScOVMTQuWMdV5y3P9DhSBg5XsKpd+/efPHFF2RlZR3zc4Dn+8zMzBZfMzY2tlWJrlAWqWMP+XHb7WA2g8Xi/jqO6joT3+7uAMD5p1V777ktFktQJWzaS7CN22KB6Gj3X6PV6v4+rq1vU3+Udwm0oE5U+etJCETe05CweSLQAs0eu49PHYJdsD4R8JdVO93lyr84t7JdngJZre4nG7GxLqKj/XIJ7HaoqzPQubPrRD9XNI4pyJ6EiIi4XDD3bXcT9btG7yTaj1WoElm2bNnCNddcw8KFCxk8eLD39Y0bN9KzZ09OPfVUli5disPhwGRydx1euXIlPXr0UPsQkR9Zsz0Zp9NAl451dEqztmnvI2lbTmfQ5ZT8IqgTVf56EgJhkBlvoUgdNzRj7D48dQglwfZEwB+qaqNYudX9Q+dlZ5e321Og6OijTzf8paGhGf8UI+FTS0RCyr++6cg3hR2IszQw4ZJdgQ5Hwkjv3r3p1asX06dP58EHHyQlJYVXX32V9evX8/rrr9OxY0cWLVrElClTuPnmm/nmm29YsmQJ06dPD3ToIkFn1bZkAM7prYeewc7hiIwf+dtwVmPby8vLY+3atTgcDu9rehIiIj/28dcdaXAY6Z1TrSXPRUSCiKea6saRu0lJsAc4GgknRqORp59+mtNPP527776b/Px8vv76a55//nn69OlDWloaixYtYufOneTn5zN//nwmTZpEfn5+oEMXCTqrtqYAcE4fJaqCnSqqgsCYMWP0JEREmvTPde5FFn56ZmT04xIRCQVb9iTw3ppMDAYX/3f594EOR8JQamoqM2fOPOH2AQMGsGzZsnaMSCT0uFzw321HElW9KwIbjPjkyGzmsBbUFVV6EiIiTXG54J/r0gH46ZkHAxyNiIh4PPFODwB+fvYBenZStauISDDacyiG/WUxmIxOzupZGehwxAchvDC9z4JqiI8++ugxr+lJiIiczObdCew6GIcl2sGw/qWBDkdEJOLVWY38/q+n8vQ/uwPw21+omkpEJFitOlJNNaD7YeIsjib2lkByHlmPJBIqqoIqUSUi0lyeaX/D+5fqw1VEJMDWfNeBcXPPYMueRADu/vn3XHCaHiKIiAQrNVIPHU6HO0mliioRkSCn/lQiIoFnbzDwyOs9eWhZbxocRrJT61l819f87Cy9N4uIBDM1Ug8djiOJqkioqArqHlUiIidTU2/is42pAPz0LPWnCmYLFixg3LhxjV7bvHkzY8eOZdCgQQwfPpzFixc32u50Opk3bx5Dhw5l4MCB3HjjjRQVFTXrHCLif1v3xHPe/efx4Mt9aXAY+X/n72XDvE+VpBIRCXL2BgNrticDaqQeChwRVFGlRJWIhKxPN6RhazDRLaOWPjnVgQ5HTuCFF15g3rx5jV4rLy9n/PjxdO/enTfeeIO77rqLJ554gjfeeMO7z4IFC1i6dCkPP/wwy5Ytw2AwMGHCBGw2m8/nEBH/cTrhL8u7M+juYaz+LoXkeBsv37uWZZPWkZZkD3R4IiLShI1FidTZTHSIt+tn6RAQSRVVEZCLE5Fw9cNpfwZDgIORYxw4cIApU6awdu1aevTo0Wjbq6++itlsZtq0aURFRZGbm0tRURELFy5kzJgx2Gw2nnvuOQoKChg2bBgAc+fOZejQoaxYsYLRo0c3eQ4R8Z/dB2O4cd4gPvraverqxWeU8NzEr8lJqw9wZCIi4itPI/Wze1VgVAlL0HM6wWwJdBTtQ/8cRSRk/XOd+wbpZ+pPFZS+/fZbOnTowDvvvMPAgQMbbVuzZg15eXlE/aB2eciQIezcuZPS0lK2bNlCTU0NQ4YM8W5PSkqiX79+rF692qdziEjbc7ngpU9yOH3icD76Op1Ys4Mnb/uGf05bpSSViEiIUSP10OJwgMUc6CjahyqqRCQkbd8Xx/b9CUSZnIwYcCjQ4chxjBgxghEjRhx3W3FxMb179270WkaGu0Ju3759FBcXA5CdnX3MPvv37/fpHGlpaS2Ova6ursXHhiLPeCNt3BBGY6+txWSzgdXqU/MKq9Xa6FdfHKoyM3Hhmbz5384AnN2rlMW/WU2vTtUcmZEbEloy9nBgtdmIkAfxIuIjT0WVGqmHBqcTzEpUiYgErw/+505InN+vjMQ4R4Cjkeaqr6/H/KNPWovFfQtltVq9SYPj7VNZWenTOVqjsLCwVceHqkgdN4T+2I3V1aQWF+OoqcEZG+vzcSUlJ69Idblg8750VmzoydKVp3PocDxRRge/ueS/3DpiNVEOF7t3tzb6wGhq7OHGWFdHUqCDEJGgUVEdxebdiYAaqYeSSGikDkpUiUiIen/t0f5UEnpiYmK8TdE9PMmluLg4YmJiALDZbN7fe/aJPXIT3tQ5WqN79+7e60SCuro6CgsLI27cEEZjr6zEtH49JCdDfHyTu1utVkpKSsjIyPAmeD2cTvjvtjTe+SqHt1Z1orAkwbutb04Vz931FWfmVgCd23QI7eVkYw9n1nJVTIjIUau/SwbglKwa0juEUFlshIuERuqgRJWIhKB6m5FPNrindak/VWjKyso6pprB831mZiYNDQ3e17p27dpon759+/p0jtaIjY1tdbIrFEXquCEMxm63u+cDWCzuLx9ZLBYsFgs2u4FPN3bk7yuzeGtVFsXlRxPEsWYHl5xZwq/OLebK8/YRY3ZCGEwi84w9YkTKfBER8Yl32p/6U4UUVVSJiASpLzalUmuNIju1ntO7Hw50ONICeXl5LF26FIfDgenIo6GVK1fSo0cP0tLSSExMJCEhgVWrVnkTVVVVVWzatImxY8f6dA4RObk6WxRvr+rE8rVdePerTCpqjiYyOsTbuWzwAX517n4uOfMg8TGaYi0iEk6ONlKvCGgc4juTSRVVIiJB65/rjkz7O6MEgyHAwUiLjBkzhkWLFjFlyhRuvvlmvvnmG5YsWcL06dMBd2+qsWPHMnv2bFJTU8nJyWHWrFlkZWUxatQon84hEklsNiiviqWyPpEKZxIVNdFU1ERRUR1NRU00lbVHvq9xf19WFcX6nUnU26O958joYOWXQ4r51bn7ufD0Q5ijXQEckYiI+IvLBf/dqoqqUGMyqaJKRCRoeftTnaVpf6EqLS2NRYsWMWPGDPLz80lPT2fSpEnk5+d795k4cSINDQ1MnTqV+vp68vLyWLx4sbeBui/nEAlHhw/D//4Ha9ce/dq6NQmX64Zmn6tbeg2/+kkxvzq3mHP7lEXMk1oRkUi280Ach6osREc5GXRKVaDDER+pokpEJEjtOhjLpt2JGI0uRg48FOhwxEePPvroMa8NGDCAZcuWnfAYk8lEQUEBBQUFJ9ynqXOIhLqqqmOTUtu2uZ+GN+YuL02KtZGc0EByvJ3keM+vdpIT7I1eizfXEuvawahzYomJiaA+TSIiwqqtyQCccUrlkb6DEgpUUSUiEqQ+WJcOwJDe5aQm2gMcjYhI23v3XXj5ZXdS6rvvjr9P585w1llHvwadUkXmxy9jSkv2edW/3bsPYTB0advgRUQk6KmRemiKjm56n3ChRJWIhBRvfyqt9iciYej55+HGGxu/1rVr46TUmWdCRsaPDqx0gVE9pUREpGlqpB6aImnxViWqRCRk2BsMfPR1R0D9qUQk/Lz2Gtx8s/v3N9wAV1/tTkqlpwc0LBERCSNWu5F1OzoAqqgKNZYImqmvRJWIhIyVW1Koqo2mY5KVs3IrAx2OiEib+cc/4NprwemECRPgmWfQqqYiItLmvt6ZhK3BRFqijdzs2kCHIz6KpP5UAMZAByAi4ivPtL+LzziIUe9eIhImPvsMxowBu91dRfXUU0pSiYiIf3in/fUp12dNCImkFf9AiSoRCSGeRNXP1J9KRMLE6tVw2WVQXw+XXw5//Wtk/SAqIiLta9VWNVIPRaqoEhEJQsXlFv73vXs+/cVnHAxwNCIirbdxI/z0p1BdDSNGwKuvRtaKPiIi0v7USD00KVElIhKEPljn7iZ8Vs8KMpJtAY5GRKR1tm+HUaOgrAyGDIG334aYmEBHJSIi4exQlZnt+xMAOFuJqpBiNCpRJSISdDzT/n6qaX8iEuJ274aRI6G4GAYMcDdST0gIdFQiIhLuvjpSTdU7p5qUBHtgg5FmUY8qEZEg43DAh+vdFVXqTyUioaykxJ2kKiqCXr3gww8hJSXQUYmISCTwTPsbov5UIcVTTaVElYhIEFmzPZmyw2Y6xNs5p09FoMMREWmR8nK4+GLYtg26doWPPoLMzEBHJSIikcLbSL2PElWhJD4eunWLrBWBlagSkaD3/lr3tL9RAw8SZXIFOBoRkearrobRo+Hrr93JqY8+cierRERE2oPTqUbqocpgiKz+VKBElYiEAPWnEpFQVl8Pv/wlrFzpnua3YoV72p+IiEh7+a44kYoaMzFmBwO6VwU6HJGTUqJKRIJaaVU0X32XDMAlZx4MbDAiIs1ks8FVV8HHH7sbpr//Ppx+eqCjEhGRSLNqexoAZ55SSXSUZihIcFOiSkSC2or16bhcBk7vVkXnjvWBDkdExCcNDfD889C7N7zzDsTEwLvvwjnnBDoyERGJRJ5E1RD1p5IQoESViAStbXvjeer97oCm/YlIaHA64ZVXoF8/uPFG9+p+WVnw1lswfHigoxMRkUjlSVSpkbqEgghrySUiwc7pdPek+svyHt7eVEajiyvO2x/gyERETszlciejHngANm50v9axI/zud3D77RAXF9DwREQkgtXZTHy9KxlQI3UJDUpUiUhQqKyJ4oWPuzD/ve5s358AgMHgYvTgA9yX/z1n60NVRIKQy+XuO/WHP8C6de7XOnSAggKYOBESEwMbn4iIyLrd6TQ4jGQm19M1vS7Q4Yg0SYkqEQmozbsTmP9ed5b8qws19e63pA7xdm4auYs7Li0kN7s2wBGenN0emucWkdb7179g6lT3an7gbpZ+991wzz3u1f1ERESCwapC9yyFc3pXYDAEOBgRHyhRJSLtzuGA99Zk8pflPfjo63Tv6/26HOauy3YydvgeEmIdAYywaUYjWCxgtbqbJvuLxeK+logEj//8x52g+uQT9/cxMfCb38CkSZCefvJjRURE2tuqnZmAGqlL6FCiSkTazeFaEws/7Mb897qz80A84O4/9fOzi7lr9E4uHFAaMk95oqOhTx93Ty1/Mhrd1xKRwFu3zp2gev999/fR0XDrrTB5MmRnBzY2ERGREzlaUaVElYQGJapExO8qa6L4y/IezH3nFMoOmwFISbBx8yj39L7umaE5V14JJJHIsHmzu0n666+7vzeZYPx4d9KqW7fAxiYiInIyxQcMFJUlYTC4GNyrMtDhiPhEiSoR8Zuyw9E88W4Pnnj3FCpr3FmdXp2qKcjfwbXD9xJnCe7pfSIS2QoLYfp0/n97dx8cZXnucfybTQgkBIQIAaUgNgokvLWoOXAOEBHsnCY4A0h1qFq0A4ylUVsURhiDFCcCpZSiIJVWBdEEqMmxvHV6WqwO7eRQCyPyqkgnYE6ACEkgJGHz9pw/1qTgIUKSJ3l29/p9ZpyWDSH3b68n9wVX7meXN98MnJ6MiIBp0wKP3Xab16sTERG5tj3/iAQguc95usa24etViLgoJAZV9fX1rF69mt/97ndcuHCBO+64g+eff55b9GNMkaD0xfloVv7+m6ze0Z/yqsCAKrlvOc898CkPjC4iMtLjBUpYUY8Qt506BVlZsG7dv97UYNIkWLwYhg71dGkiIiLXxXHg8GF4a0vgboZ/u63E4xWJXL+QGFS98sorbNq0iSVLltCrVy+WL1/OzJkz2b59O9HR0V4vT0S+dLq0I7/4r0TW/uEWKv2B7WVY//NkPniMKaNO6UXBpU2oR4hbzp2Dn/8cXn4Zqr68I3nChMDQKiXF27WJiIhcy4kTsGtX4L/33oPTpwECPzQePfALT9cm0hxBP6iqrq7m9ddfZ+7cuaSmpgKwcuVKxowZw5/+9CfS09M9XqGIFJ7txM/zEvnNf9/CperAcak7bisj84FPuS/ljAZU0mbUI8QNFRU+liyJ4qWX4MKFwGOjRgUGVOPGebs2EWk5nbiVcPfFF4GBVMNg6vjxKz/eqROMHlnDd2/8O9//j/8FYjxZp0hzBf2g6ujRo1RUVDBy5MjGx7p27UpycjIffvih/hEi4qHismiezx7I63/uS3VtYEA1alAJmQ8e4z9HFIfMO/hJ6FKPkNaor4eXXopi2bIhlJUFfuI8fHhgQJWWhvYwkRCnE7cSjv7nf2DLlsBw6uOPr/xYZGTgBPD48XDPPYEfunTyV0L2x9ChuzcLFmmBoB9UnQ6cV+Smr7zvc0JCAqdOnWrxn1tVFZrvMtZSDXmt5YYWZK+sJLK6Gvx+iAr6b5Em+f3+K/63Lcxe+y1y8/sCMDrpCxZ87wjjhgQGVNXVbfZlr6k9sgcjf3U1Hb1eRDtTj3CH1R6xZUsk8+cHvmsSE+tYuLCWKVPq8Pn+detfyGhm77K6T4Ld7NZ6hE7cSjg6fRr+/d8Drz/VYNiwwFBq/HgYOxa6dv3KJ9na6iRMBP2/whv+0vzVn3p07NiR8+db/vaaBQUFrVlWyLKaG64/u+/iReJPn6auooL6mNA/HltcXNxmf/aEpA7U115gasohUhL/F4DCwjb7cs3WltmDka+qiq/+3STcqUe4y1runj078N3v9uHOO8tJTz9HVBR88onXq2qZlvYua/vk5axlt9YjdOJWwlHPnvDUU1BRERhMjRsHCQler0rEfUE/qOrUqRMQ+KlIw/+HwE/BYloxROjfv3+rPj/UVFVVUVBQYC43tCD7+fNEfvQRdOsGnTu39fLajN/vp7i4mISEBDp2bJufoT7Wt4bHvnsE8AF92+RrtER7ZA9G/tJSr5fQ7tQj3GG1RyQlwciRVRQUnAv97M3sXVb3SbCb3VqP0Ilb91g9dRusubOyrvx1ZeU1PqEFd4uYPXlqNDcE36nboB9UNTSX4uJi+vXr1/h4cXExgwYNavGfGxMTQ2xsbKvXF2qs5oZmZK+pgeho6Ngx8F+I69ixo6m/iF/OXHaDr7ehHuEuq7khDLK3sHeZ2ycvYy67sR6hE7fus5o91HO35m4RaydPG1jMHWynboN+UDVo0CDi4uLYs2dP4z9CLly4wOHDh3n44Yc9Xp2IiHhJPUJERK5GJ27dY/XUbdjkbsHdImZPnhrNDcF36jboB1XR0dE8/PDD/OIXvyA+Pp4+ffqwfPlyevfuzb333uv18kRExEPqESIicjU6ces+q9lDPncr7hYxd/L0SyZzB9mp26AfVAE8+eST1NbW8txzz3Hp0iXuuusuXnvtNb2trIiIqEeIiMj/oxO3IiKhKyQGVZGRkcydO5e5c+d6vRQREQky6hEiIvJVOnErIhK6QmJQJSIiIiIi0hw6cSsiEpo0qBIRERERkbCjE7ciIqHJ5/UCREREREREREREQIMqEREREREREREJEhpUiYiIiIiIiIhIUNCgSkREREREREREgkKE4ziO14toT/v27cNxHDp06EBERITXy2k3juNQU1NjLje0IHt9PVy8CD4fhPBz5TgOdbW1REZFmay5xexOfT0db7yRgQMHer2UkKUeYSs3hFH2ZvYuq/sk2M2uHtE6VvsDhNE+2Uxhk7sF/7Yxu08azQ3B1yPMvetfwwVn7cKLiIgw+1a8zc7u80HXrm23oHYSgcFv8C9ZzW5rV2sb6hH2hE32ZvYuq/sk2M1ua1dzn9X+AGG0TzZT2ORuwb9tLO+TFnND8PUIcyeqREREREREREQkOOk1qkREREREREREJChoUCUiIiIiIiIiIkFBgyoREREREREREQkKGlSJiIiIiIiIiEhQ0KBKRERERERERESCggZVIiIiIiIiIiISFDSoEhERERERERGRoKBBlYiIiIiIiIiIBAUNqkREREREREREJChoUCUiIiIiIiIiIkFBgyoREREREREREQkKGlSJiIiIiIiIiEhQ0KBKRERERERERESCggZVxv35z3/2egnSzlRze1RzaSldO/ao5vao5tISum7sUc3t8bLmUZ595SCRm5uLz+cjKiqK++67z+vltKvHH3+cs2fPMmHCBK+X0q5Uc9XcEqs1d4uuHXvXjmqumltiteZusXrtWL5uVHPV3Aqvax7hOI7jyVcOArNmzeLUqVP069ePffv2kZyczE9+8hOGDBlCRESE18trUz/+8Y85c+YM77zzjtdLaVequWqumsv10rVj79pRzVVz1Vyul9Vrx/J1o5qr5qp5+zE7qNq8eTO5ubls2bIFgPLych599FE6d+7MnDlz+Na3vuXtAtvQ448/TnFxMXl5eQC8//77lJeXU1paysSJE4mPj/d4hW1DNVfNVfPwr7lbdO3Yu3ZUc9VcNQ//mrvF6rVj+bpRzVVz1bx9a272NaoqKytJSEgAoLq6mi5durBhwwaqq6tZtWoV1dXVHq+wbTVcYK+99ho/+9nP+OMf/8iaNWvIyMjgxIkTHq+ubViuueM4qrlqbqLmbrF87YB6hLWaW90vVHN7NXeL5WvH6nVjteaW9wrV3NuamxtU1dfXA9CpUydKS0spKSkhOjqa2tpa4uLi+O1vf8unn37KunXrPF6p+xqyz549m8jISObOncvOnTvJzs5m9erV7Nmzh5KSEjZu3OjxSt1VV1cHQExMDGVlZaZq3pA9IyODqKgoMzVvEBMTQ0lJiamaN3jiiSfw+Xzmat5a6hHqEZZqrh6hHmGt5q1ltUdY7Q9gt0dY7w9gt0cES38wNai6ePEiZWVlAKSlpXHq1ClefPFFAKKioqipqSEuLo5JkyZRXFzs4Urdd3n2pKQkhg4dyuHDh7n77ru56aabqKioAGDy5MmcPXvWw5W6LzIyEoDvfOc7nDx5kqVLlwLhX3P4V/aBAweSlJTE0aNHw77mhYWFHD9+HID09HROnTrFkiVLgPCveUP2uro6kpOTGTp0KEeOHAn7mrtFPaIMUI9QjwjvmqtHqEe0lNUeYbk/gN0eYbE/gN0eEYz9wcygat68eWRkZJCens6KFSsoKSnhtddeY/fu3Tz77LNUVlbSoUMHIHDMz+cLPDXh8BJel2dfuXIlx48fZ+bMmYwYMYIRI0YA0LlzZwDOnj1L165dwyL3+vXrWbhwYeOv4+PjWbduHbt27WL+/PlhXfOvZo+Ojmb69OkMGTKEO++8EwjPmj/99NPMnz+fKVOmMH/+fGpra1m7di27du1iwYIFYV3zy7NnZmZSXFzMD37wg7CvuVvUI9Qj1CPUI8K55uoRrWO1R1jtD2C3R1jtD2C3RwRrf4hq868QBJ555hlOnjzJ4sWL+eyzz9i8eTPHjh1j2rRpvPXWWzz22GP89Kc/5dZbb6Vz585s27aNnJwcgJB/Nf+rZT969CiPPPIIL7zwAtXV1Wzfvh2fz0dRURF5eXnk5OSEfG6AY8eO8Yc//IG4uDjmzZsHwKBBg3jjjTeYNWsWpaWl9O/fP+xqDlfP3q1bN7KysvD7/ezYsYOIiIiwqvnTTz9NUVERa9as4eDBgyxevJjc3FxmzJjB+vXrmTVrFiUlJWFZ86tl37ZtGzNnziQrK4vq6uqwrLlb1CPUI9Qj1CPUI8Kv5m6x2iMs9wew2yMs9gew2yOCuT+E/YmqkpISzp07x8svv8ygQYOYOHEizz33HF27duXtt9+murqarVu3csstt1BSUsIXX3xBdnY2t99+u9dLb7Wmst9www1s3LiR3bt3U15ezqZNm9iwYQN/+9vfePvttxkwYIDXS2+V2tpaACoqKkhJSeHQoUONR7MBhg0bxtatW+nXr1/Y1fxq2RuOq0Jg4n/hwgVycnLCqubHjx+nqKiI3/zmN8THxzN27FjS09P5xz/+QX19fWPN+/bty7lz58Kq5k1l37t3L/X19VfUfP369WFTc7eoR6hHqEeoR6hHqEc0xWqPsNofwG6PsNofwG6PCPr+4IS58+fPO6mpqU5OTs4Vj3/yySfOrFmznAULFjiO4zjV1dWO4zhOTU1Nu6+xrVwre2ZmpuM4jnPx4kXH7/c7lZWVXiyzTdTX1zuTJ092duzY4WzcuNF58MEHnaysrCt+T21treM44VVzx7m+7JWVlWFV8xMnTjjjx493du/e3fjYL3/5S+eJJ55wHOdf398NvvrrUHat7PX19Y7jOI7f73dqa2udiooKT9YZrNQj1CPUI9Qj1CPUI5pitUdY7g+OY7dHWOwPjmO3RwR7fwj7E1VxcXGMHz+e/fv3N74wGsCAAQOYOXMmv//97zly5Ejj/aYNLxwXDq6VPS8vj0OHDtG5c2eio6OJiYnxcLXuqqmpYeTIkaSlpTF16lTS0tL4+OOPr/iJiPPlvbXhVHO4vuzR0dFhVfPY2FhGjx5Nly5dGh8rKysjKipwd3OHDh344IMP2Lt3L0Dj4+HgWtkjIiJ4//33OXjwIJGRkcTGxnq11KCkHqEeoR6hHqEeoR7RFKs9wnJ/ALs9wmJ/ALs9Itj7Q1gOqnJzc3n11VfJz8+npKSEadOmsX//fjZv3kxBQUHj7/v2t7/NiBEjiI6ObnwslO8xheZn79Spk3eLddHluY8fP050dDRz584FAm8hPGXKFNLS0jh8+DCZmZkAV3wThrKWZA+Hpnp5bp/PR2ZmJsOHD2/8uN/vZ8iQIUDghSHnzp1LQkICEF41v57s8+bNo2fPnl4tN+ioR6hHqEeoR6hHqEc0xWqPsNofwG6PsNofwG6PCKX+EB7jwMv86Ec/4syZM9x444385S9/ITIykgULFrBs2TLmzJmD3+9nwoQJjBkzhpycHAoLC+natavXy3aF1eyX5/7ggw/w+XzMmDGDu+++G4C6ujri4uKYMmUKly5dYs+ePZw9e5YePXp4u3AXWM1+tWt9xowZjBs3jtraWurq6jh+/DiTJ08mNzeXtWvX8vrrr9O3b1+vl95qlrO7weo+CXazW90nwW52y/uk5exu0D5pKzdon7SWG+zukyGXu11vNGxjeXl5zqRJkxp/fejQIWfx4sXOuHHjnI8//tg5cuSIk5GR4YwZM8aZNm2aM378eOfgwYMertg9VrNfLfcLL7zg3HPPPc6uXbsaH6+rq3McJ3AvfVlZWbuvsy1Yzf51ud977z3HcQL3VD/yyCPO5MmTnbvuuss5cOCAV8t1leXsbrC6TzqO3exW90nHsZvd8j5pObsbtE8GWMntONonG1jJ7Th298lQzB1WJ6rKy8vp378/EJgCJycnExcXh8/n4/nnn2fVqlUsW7aMU6dO4ff7SUhICIupMNjN3lTuyMhI1qxZQ8+ePRk6dCg+nw/HcejcubO3C3aR1exfl3v16tXEx8czfPhwqqqqKCgoYPPmzSH/rhwNLGd3g9V9Euxmt7pPgt3slvdJy9ndoH3SVm7QPgm2coPdfTIUc4fFa1Q1HFVLSkoiPz+fQ4cONd4/269fP773ve/Rp08f3n//fWJjY0lMTCQ5OTksNlmr2a+V+/7776dPnz7s37+/8XNC+X7iy1nNfr25Dxw4AMDs2bPZtGmT55usGyxnd4PVfRLsZre6T4Ld7Jb3ScvZ3aB90lZu0D5pLTfY3SdDOXeE43z5lgUhasmSJXz++eeUlJQwcuRI/H4/p0+fZvbs2dx+++04jkNERASLFi3izJkzrF271uslu8Zq9ubkLi4u5pVXXvF6ya6xmr05uU+fPs2vf/1rr5fsGsvZ3WB1nwS72a3uk2A3u+V90nJ2N2iftJUbtE9ayw1298lQzx3SJ6qefPJJDh8+THp6OmPGjCE3N5eamhqqqqpYt24dn376aeMUuHv37tx0003U19d7vGp3WM3e3Ny9e/cOi9xgN3tzc998883U1dV5vGp3WM7uBqv7JNjNbnWfBLvZLe+TlrO7QfukrdygfdJabrC7T4ZD7pB9jaoPPviAwsJC8vLyACgrKyM/P59Ro0YRERHBu+++y5w5cxgzZgwQeCvGN998E58vpGdzgN3sVnOD3ewtzR0Ob51rObsbrH7PgN3sVnOD3eyW90nL2d2g7xlbucFudqu5we4+GS65Q3ZQVVpaSmxsLADV1dV069aN2tpaioqKeOSRR/jGN75Bfn4+H374Ib179+att95iwIABHq/aHVazW80NdrNbzQ22s7vB8vNnNbvV3GA3u9XcYDu7G6w+f1Zzg93sVnOD3ezhkjtkB1WJiYkUFxdTVFRE7969AXAch4aX3BowYAA33HAD06dP93KZbcJqdqu5wW52q7nBdnY3WH7+rGa3mhvsZreaG2xnd4PV589qbrCb3WpusJs9XHKH7Jm+oUOHsnr1am6++WYAampquHTpEsnJyQCsX7+e1NRUSkpKGosSLqxmt5ob7Ga3mhtsZ3eD5efPanarucFudqu5wXZ2N1h9/qzmBrvZreYGu9nDJrcTBmpqapwzZ844KSkpTmlpqbNlyxZn1KhRzoEDB7xeWpuzmt1qbsexm91qbsexnd0Nlp8/q9mt5nYcu9mt5nYc29ndYPX5s5rbcexmt5rbcexmD+XcIXvr3+WioqLo0KEDt956KytXrmTHjh2sX7+eIUOGeL20Nmc1u9XcYDe71dxgO7sbLD9/VrNbzQ12s1vNDbazu8Hq82c1N9jNbjU32M0eyrnDYlAFgSNtH330EceOHePtt99m0KBBXi+p3VjNbjU32M1uNTfYzu4Gy8+f1exWc4Pd7FZzg+3sbrD6/FnNDXazW80NdrOHau6wGVTFx8czffp0HnjgARITE71eTruymt1qbrCb3WpusJ3dDZafP6vZreYGu9mt5gbb2d1g9fmzmhvsZreaG+xmD9XcEY4TzK+g1Ty1tbVERYXN7K1ZrGa3mhvsZreaG2xnd4Pl589qdqu5wW52q7nBdnY3WH3+rOYGu9mt5ga72UMxd1gNqkREREREREREJHT5vF6AiIiIiIiIiIgIaFAlIiIiIiIiIiJBQoMqEREREREREREJChpUiYiIiIiIiIhIUNCgSkREREREREREgoIGVSJf45lnnmHgwIH89a9/verHd+/ezcCBA1m2bFk7r0xERLymHiEiIk1RjxBpuQjHcRyvFyESrMrKypg4cSIdO3Zk+/btxMTENH6soqKC++67j9jYWPLy8oiOjvZwpSIi0t7UI0REpCnqESItpxNVIl+jW7duLFq0iMLCQn71q19d8bEVK1ZQXFzM8uXL1VxERAxSjxARkaaoR4i0nAZVItcwYcIEJk6cyMaNGzlw4AAA+/btIzs7m4yMDJKSkigqKmLOnDmkpKQwfPhwpk+fzuHDh6/4cwoLC5k3bx6jR49m8ODBjBo1innz5lFaWtr4e+655x5efPFFpk+fzogRI1i4cGG7ZhURkeZRjxARkaaoR4i0jG79E7kOpaWlTJw4kZtvvpns7Gzuv/9+YmJiyM7O5vz580yaNImYmBgyMjKIiYlhw4YNHDx4kHfeeYfExESqqqpIT0+ne/fuPP7443Tp0oW9e/eyZs0a7r//fl544QUg0GDOnDnDQw89RGpqKp06deKOO+7wOL2IiHwd9QgREWmKeoRI80V5vQCRUNC9e3cWLVpERkYGP/zhDzl58iTvvvsukZGRbNiwgbKyMnJycujTpw8AY8eOJS0tjVWrVvHSSy9RUFBA7969Wbp0Kf369QNg5MiRHDhwgL///e9XfK2EhASeffZZfD4deBQRCQXqESIi0hT1CJHm06BK5Drde++9pKWlsXPnThYuXEj//v0ByM/PJykpiV69elFbWwuAz+dj7NixbN26FYCkpCSys7Opr6/n888/p6CggGPHjvHPf/6z8XMaJCYmqrmIiIQY9QgREWmKeoRI82hQJdIMY8aMYefOnaSmpjY+VlZWxokTJxg8ePBVP6eqqoqYmBjeeOMNXn31VUpLS+nRoweDBw8mJiaG8vLyK35/jx492jSDiIi0DfUIERFpinqEyPXToEqklbp06UJKSgrz5s276sejo6PZtm0bS5cu5emnn2bq1KnEx8cD8NRTTzW+sKKIiIQf9QgREWmKeoTI1WlQJdJKKSkpbNu2jVtvvZW4uLjGx7OysvD7/SxevJi9e/fSpUsXZs2a1fjxiooK9u7dS1SUvg1FRMKVeoSIiDRFPULk6nQDq0grPfroo9TX1/Poo4+yc+dO8vPzyczM5M033+Sb3/wmAMOGDaO8vJylS5eyZ88etm3bxkMPPcTZs2epqqryOIGIiLQV9QgREWmKeoTI1WkEK9JKvXr1YtOmTaxYsYJFixbh9/vp378/WVlZTJ06FYDJkydTWFhIbm4u2dnZ9OrVi9TUVL7//e+TmZnJZ599xm233eZxEhERcZt6hIiINEU9QuTqIhzHcbxehIiIiIiIiIiIiG79ExERERERERGRoKBBlYiIiIiIiIiIBAUNqkREREREREREJChoUCUiIiIiIiIiIkFBgyoREREREREREQkKGlSJiIiIiIiIiEhQ0KBKRERERERERESCggZVIiIiIiIiIiISFDSoEhERERERERGRoKBBlYiIiIiIiIiIBAUNqkREREREREREJChoUCUiIiIiIiIiIkHh/wC/v89c+opEQQAAAABJRU5ErkJggg==",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 17. Solar PV Installed Capacity Growth (2000–2025) in Active Conflict Years\n",
+ "# Sort for proper line plots\n",
+ "solar_df = solar_df.sort_values(by=[\"Country\", \"Year\"])\n",
+ "\n",
+ "# Set visual style\n",
+ "sns.set_style(\"whitegrid\")\n",
+ "\n",
+ "# Create facet grid (3 charts per row)\n",
+ "g = sns.FacetGrid(solar_df, col=\"Country\", col_wrap=3, height=4, sharey=False)\n",
+ "g.map_dataframe(\n",
+ " sns.lineplot, x=\"Year\", y=\"Electricity Installed Capacity (MW)\", color=\"blue\"\n",
+ ")\n",
+ "\n",
+ "# Highlight conflict years\n",
+ "for ax, country in zip(g.axes.flat, solar_df[\"Country\"].unique()):\n",
+ " ax.set_xlim(2000, 2025)\n",
+ " ax.set_xticks(range(2000, 2026, 5))\n",
+ " ax.tick_params(axis=\"x\", rotation=45, labelsize=10)\n",
+ "\n",
+ " # Shade active-conflict periods\n",
+ " conflict_years = conflict_phases.get(country, {}).get(\"active-conflict\", [])\n",
+ " if conflict_years:\n",
+ " # Normalize to list of ints\n",
+ " if isinstance(conflict_years, range):\n",
+ " conflict_years = list(conflict_years)\n",
+ " elif isinstance(conflict_years, list):\n",
+ " conflict_years = [\n",
+ " y for r in conflict_years for y in (r if isinstance(r, range) else [r])\n",
+ " ]\n",
+ "\n",
+ " conflict_years = sorted(set(conflict_years))\n",
+ "\n",
+ " # Group consecutive years into periods\n",
+ " periods = []\n",
+ " start = end = conflict_years[0]\n",
+ " for y in conflict_years[1:]:\n",
+ " if y == end + 1:\n",
+ " end = y\n",
+ " else:\n",
+ " periods.append((start, end))\n",
+ " start = end = y\n",
+ " periods.append((start, end))\n",
+ "\n",
+ " # Add shaded regions\n",
+ " for i, (start, end) in enumerate(periods):\n",
+ " ax.axvspan(\n",
+ " start,\n",
+ " end + 1,\n",
+ " color=\"red\",\n",
+ " alpha=0.3,\n",
+ " label=\"Active Conflict\" if i == 0 else \"\",\n",
+ " )\n",
+ "\n",
+ "# Add labels\n",
+ "g.set_titles(\"{col_name}\")\n",
+ "g.set_axis_labels(\"Year\", \"Installed Capacity (MW)\")\n",
+ "\n",
+ "# Add conflict legend\n",
+ "red_patch = mpatches.Patch(color=\"red\", alpha=0.3, label=\"Active Conflict\")\n",
+ "g.fig.legend(handles=[red_patch], loc=\"upper right\")\n",
+ "\n",
+ "# Title and layout\n",
+ "g.fig.subplots_adjust(top=0.88)\n",
+ "g.fig.suptitle(\n",
+ " \"Solar PV Installed Capacity Growth (2000–2025)\\nRed = Active Conflict Years\",\n",
+ " fontsize=16,\n",
+ ")\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "0326e868",
+ "metadata": {},
+ "source": [
+ "**Key Finding:** \n",
+ "*The charts reveal a striking pattern where solar PV capacity growth is significantly disrupted during periods of active conflict across multiple countries. In several cases, solar capacity development either stagnates completely or experiences dramatic declines during conflict periods (highlighted in red), with recovery occurring only after conflicts end. This pattern is particularly evident in countries like Iraq, Libya, Syria, Sudan, and Yemen, where conflict periods coincide with either minimal solar development or actual capacity losses, suggesting that armed conflict represents a major barrier to renewable energy infrastructure development and maintenance.*\n",
+ "\n",
+ "The visualization effectively demonstrates how geopolitical instability directly impacts a country's ability to build and maintain clean energy infrastructure, with solar capacity growth typically resuming or accelerating only during periods of relative peace and stability."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "b322ae19",
+ "metadata": {},
+ "source": [
+ "-**Ukraine**: Explosive growth to 8,000+ MW (2016-2022), then sharp decline after renewed conflict \n",
+ "-**Yemen**: Rapid surge to ~250 MW around 2020, followed by sharp drop due to conflict instability \n",
+ "-**Sudan**: Steady growth from 2018 reaching ~100 MW by 2025 - rare stable development during instability \n",
+ "-**Ethiopia**: Moderate adoption 2019-2025, staying below 40 MW \n",
+ "-**Iraq**: Exponential growth during conflict years, then dropped to 20 MW by 2025 \n",
+ "-**Syria & South Sudan:** Low but increasing capacity, peaking at 14-30 MW by 2025 \n",
+ "-**Libya:** Lowest capacity, increased during conflict but declined to ~4 MW by 2025 \n",
+ "-**Afghanistan:** Peaked at 20 MW (2015), dropped 40% during conflict, recovered to 26 MW by 2025"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 22,
+ "id": "aaa76714",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Available Producer Types:\n",
+ "['On-grid electricity' 'Off-grid electricity']\n",
+ "On-grid data shape: (173, 12)\n",
+ "Off-grid data shape: (119, 12)\n",
+ "Data shape: (258, 4)\n",
+ "Countries found: 9\n",
+ "Countries: ['Afghanistan', 'Ethiopia', 'Iraq', 'Libya', 'South Sudan', 'Sudan (the)', 'Syrian Arab Republic (the)', 'Ukraine', 'Yemen']\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "=== SUMMARY STATISTICS ===\n",
+ "\n",
+ "Total Capacity by Type and Country:\n",
+ "Type Off-Grid On-Grid\n",
+ "Country \n",
+ "Afghanistan 258.838 452.438\n",
+ "Ethiopia 180.422 180.422\n",
+ "Iraq 438.500 448.532\n",
+ "Libya 90.073 94.073\n",
+ "South Sudan 18.371 63.371\n",
+ "Sudan (the) 928.164 1091.914\n",
+ "Syrian Arab Republic (the) 6.000 228.493\n",
+ "Ukraine 0.000 50081.076\n",
+ "Yemen 2078.392 2238.392\n",
+ "\n",
+ "Latest Year Capacity (2025 or most recent):\n",
+ "Type Off-Grid On-Grid\n",
+ "Country \n",
+ "Afghanistan 21.776 53.476\n",
+ "Ethiopia 21.554 21.554\n",
+ "Iraq 39.000 41.576\n",
+ "Libya 6.333 8.333\n",
+ "South Sudan 2.469 30.469\n",
+ "Sudan (the) 135.570 189.860\n",
+ "Syrian Arab Republic (the) 2.000 60.000\n",
+ "Ukraine 0.000 5500.000\n",
+ "Yemen 269.995 409.995\n"
+ ]
+ }
+ ],
+ "source": [
+ "# 18. ON-GRID VS OFF-GRID SOLAR CAPACITY BY PRODUCER TYPE WITH CONFLICT PERIODS HIGHLIGHTED\n",
+ "# This code creates charts showing on-grid vs off-grid solar growth for all countries\n",
+ "# Blue lines = on-grid solar capacity (Utility, Commercial, Industrial)\n",
+ "# Orange lines = off-grid solar capacity (Residential, Distributed, Community)\n",
+ "# Red shaded areas = periods of active conflict\n",
+ "\n",
+ "# Step 1: Filter for solar technologies only (all countries)\n",
+ "solar_conflict_df = df[\n",
+ " df[\"Technology\"].str.contains(\"Solar\", case=False, na=False)\n",
+ "].copy()\n",
+ "\n",
+ "# Step 2: Create separate dataframes for on-grid and off-grid based on Producer Type\n",
+ "# First, let's check what Producer Types are actually available\n",
+ "print(\"Available Producer Types:\")\n",
+ "print(df[\"Producer Type\"].unique())\n",
+ "\n",
+ "# Filter for on-grid producers (adjust these based on your actual data)\n",
+ "ongrid_df = solar_conflict_df[\n",
+ " solar_conflict_df[\"Producer Type\"].str.contains(\n",
+ " \"grid|Grid|Utility|Commercial|Industrial\", case=False, na=False\n",
+ " )\n",
+ "].copy()\n",
+ "\n",
+ "# Filter for off-grid producers (adjust these based on your actual data)\n",
+ "offgrid_df = solar_conflict_df[\n",
+ " solar_conflict_df[\"Producer Type\"].str.contains(\n",
+ " \"Off-grid|Residential|Distributed|Community\", case=False, na=False\n",
+ " )\n",
+ "].copy()\n",
+ "\n",
+ "print(f\"On-grid data shape: {ongrid_df.shape}\")\n",
+ "print(f\"Off-grid data shape: {offgrid_df.shape}\")\n",
+ "\n",
+ "# Step 3: Group by country and year for both on-grid and off-grid\n",
+ "ongrid_grouped = (\n",
+ " ongrid_df.groupby([\"Country\", \"Year\"])[\"Electricity Installed Capacity (MW)\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "ongrid_grouped[\"Type\"] = \"On-Grid\"\n",
+ "\n",
+ "offgrid_grouped = (\n",
+ " offgrid_df.groupby([\"Country\", \"Year\"])[\"Electricity Installed Capacity (MW)\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "offgrid_grouped[\"Type\"] = \"Off-Grid\"\n",
+ "\n",
+ "# Step 4: Combine the datasets\n",
+ "combined_df = pd.concat([ongrid_grouped, offgrid_grouped], ignore_index=True)\n",
+ "\n",
+ "# Step 5: Check if we have data to work with\n",
+ "if combined_df.empty:\n",
+ " print(\n",
+ " \"No data available for the specified filters. Please check your Producer Type values.\"\n",
+ " )\n",
+ " print(\"Available Producer Types in your data:\")\n",
+ " print(df[\"Producer Type\"].unique())\n",
+ " exit()\n",
+ "\n",
+ "print(f\"Data shape: {combined_df.shape}\")\n",
+ "print(f\"Countries found: {combined_df['Country'].nunique()}\")\n",
+ "print(f\"Countries: {list(combined_df['Country'].unique())}\")\n",
+ "\n",
+ "# Sort the data by country and year\n",
+ "combined_df = combined_df.sort_values(by=[\"Country\", \"Year\"])\n",
+ "\n",
+ "# Step 6: Only proceed if we have data\n",
+ "if combined_df.empty:\n",
+ " print(\"No data to plot. Exiting.\")\n",
+ "else:\n",
+ " # Set up the chart style\n",
+ " sns.set_style(\"whitegrid\")\n",
+ "\n",
+ " # Step 7: Create multiple small charts (one for each country)\n",
+ " countries = combined_df[\"Country\"].unique()\n",
+ " n_countries = len(countries)\n",
+ "\n",
+ " if n_countries == 0:\n",
+ " print(\"No countries found in the data.\")\n",
+ " else:\n",
+ " # Calculate appropriate subplot layout\n",
+ " col_wrap = min(3, n_countries) # Max 3 columns or number of countries if less\n",
+ "\n",
+ " g = sns.FacetGrid(\n",
+ " combined_df, col=\"Country\", col_wrap=col_wrap, height=4, sharey=False\n",
+ " )\n",
+ "\n",
+ " # Step 8: Draw lines for both on-grid and off-grid\n",
+ " g.map_dataframe(\n",
+ " sns.lineplot,\n",
+ " x=\"Year\",\n",
+ " y=\"Electricity Installed Capacity (MW)\",\n",
+ " hue=\"Type\",\n",
+ " style=\"Type\",\n",
+ " markers=True,\n",
+ " )\n",
+ "\n",
+ "# Step 9: Add formatting to each individual chart\n",
+ "countries = combined_df[\"Country\"].unique()\n",
+ "\n",
+ "for chart, country in zip(g.axes.flat, countries):\n",
+ " # Make the year labels easier to read\n",
+ " chart.tick_params(axis=\"x\", rotation=45, labelsize=10)\n",
+ " chart.set_xticks(range(2000, 2026, 5))\n",
+ " chart.set_xticklabels(range(2000, 2026, 5))\n",
+ "\n",
+ " # Set the time range from 2000 to 2025\n",
+ " chart.set_xlim(2000, 2025)\n",
+ "\n",
+ " # Add red shading for conflict periods (if data exists)\n",
+ " if country in conflict_phases:\n",
+ " conflict_years = conflict_phases.get(country, {}).get(\"active-conflict\", [])\n",
+ "\n",
+ " if conflict_years:\n",
+ " # Convert range objects to lists if needed\n",
+ " if hasattr(conflict_years, \"__iter__\") and not isinstance(\n",
+ " conflict_years, list\n",
+ " ):\n",
+ " conflict_years = list(conflict_years)\n",
+ "\n",
+ " # Handle cases where conflict_years might be a mix of ranges and lists\n",
+ " all_conflict_years = []\n",
+ " for year_item in conflict_years:\n",
+ " if isinstance(year_item, int):\n",
+ " all_conflict_years.append(year_item)\n",
+ " else:\n",
+ " all_conflict_years.extend(list(year_item))\n",
+ "\n",
+ " # If we have continuous periods, create separate spans\n",
+ " if all_conflict_years:\n",
+ " # Sort the years\n",
+ " all_conflict_years = sorted(set(all_conflict_years))\n",
+ "\n",
+ " # Group consecutive years into continuous periods\n",
+ " periods = []\n",
+ " current_start = all_conflict_years[0]\n",
+ " current_end = all_conflict_years[0]\n",
+ "\n",
+ " for i in range(1, len(all_conflict_years)):\n",
+ " if all_conflict_years[i] == current_end + 1:\n",
+ " current_end = all_conflict_years[i]\n",
+ " else:\n",
+ " periods.append((current_start, current_end))\n",
+ " current_start = all_conflict_years[i]\n",
+ " current_end = all_conflict_years[i]\n",
+ "\n",
+ " # Add the last period\n",
+ " periods.append((current_start, current_end))\n",
+ "\n",
+ " # Add red shading for each continuous period\n",
+ " for start_year, end_year in periods:\n",
+ " chart.axvspan(\n",
+ " start_year,\n",
+ " end_year + 1,\n",
+ " color=\"red\",\n",
+ " alpha=0.3,\n",
+ " label=\"Active Conflict\" if start_year == periods[0][0] else \"\",\n",
+ " )\n",
+ "\n",
+ "# Step 10: Make sure all charts show year labels at the bottom\n",
+ "for chart in g.axes.flat:\n",
+ " chart.tick_params(axis=\"x\", which=\"both\", bottom=True, labelbottom=True)\n",
+ "\n",
+ "# Step 11: Add titles and labels\n",
+ "g.set_titles(\"{col_name}\")\n",
+ "g.set_axis_labels(\"Year\", \"Installed Capacity (MW)\")\n",
+ "\n",
+ "# Step 12: Add legends\n",
+ "# Create custom legend handles\n",
+ "\n",
+ "red_patch = mpatches.Patch(color=\"red\", alpha=0.3, label=\"Active Conflict\")\n",
+ "ongrid_line = mlines.Line2D(\n",
+ " [], [], color=\"blue\", marker=\"o\", label=\"On-Grid (Utility/Commercial/Industrial)\"\n",
+ ")\n",
+ "offgrid_line = mlines.Line2D(\n",
+ " [],\n",
+ " [],\n",
+ " color=\"orange\",\n",
+ " marker=\"s\",\n",
+ " label=\"Off-Grid (Residential/Distributed/Community)\",\n",
+ ")\n",
+ "\n",
+ "g.fig.legend(\n",
+ " handles=[ongrid_line, offgrid_line, red_patch],\n",
+ " loc=\"upper right\",\n",
+ " bbox_to_anchor=(1.0, 0.95),\n",
+ ")\n",
+ "\n",
+ "# Step 13: Add spacing and main title\n",
+ "g.fig.subplots_adjust(top=0.85, bottom=0.15, right=0.85)\n",
+ "g.fig.suptitle(\n",
+ " \"On-Grid vs Off-Grid Solar Capacity by Producer Type (2000–2025)\\nActive Conflict Periods Highlighted\",\n",
+ " fontsize=16,\n",
+ ")\n",
+ "\n",
+ "# Step 14: Show the final chart\n",
+ "plt.tight_layout()\n",
+ "plt.show()\n",
+ "\n",
+ "# Optional: Summary statistics\n",
+ "print(\"\\n=== SUMMARY STATISTICS ===\")\n",
+ "print(\"\\nTotal Capacity by Type and Country:\")\n",
+ "summary_stats = (\n",
+ " combined_df.groupby([\"Country\", \"Type\"])[\"Electricity Installed Capacity (MW)\"]\n",
+ " .sum()\n",
+ " .unstack(fill_value=0)\n",
+ ")\n",
+ "print(summary_stats)\n",
+ "\n",
+ "print(\"\\nLatest Year Capacity (2025 or most recent):\")\n",
+ "latest_year = combined_df[\"Year\"].max()\n",
+ "latest_stats = (\n",
+ " combined_df[combined_df[\"Year\"] == latest_year]\n",
+ " .groupby([\"Country\", \"Type\"])[\"Electricity Installed Capacity (MW)\"]\n",
+ " .sum()\n",
+ " .unstack(fill_value=0)\n",
+ ")\n",
+ "print(latest_stats)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8f10365f",
+ "metadata": {},
+ "source": [
+ "## **Key Findings:**\n",
+ "\n",
+ "**Conflict Impact:** \n",
+ "• Red conflict periods show clear disruption/stagnation in solar development across all countries \n",
+ "• Ukraine's massive scale (8,000+ MW) highlights what others missed due to instability \n",
+ "\n",
+ "**Capacity Patterns:** \n",
+ "• On-grid (blue) dominates in most countries, showing utility-scale drives growth \n",
+ "• Off-grid (orange) shows resilience in Afghanistan, Yemen, Sudan during unstable periods \n",
+ "• Most countries had minimal solar before 2010, so conflict interrupted early development \n",
+ "\n",
+ "**Recovery Trends:** \n",
+ "• Libya and Sudan show post-conflict solar capacity recovery \n",
+ "• Different conflict timing across countries (2010s Libya, 2011-2020s Syria) \n",
+ "• Renewable energy appears part of reconstruction efforts in recovering nations"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/3_data_exploration/README.md b/3_data_exploration/README.md
index 8d180e06e..67683d1de 100644
--- a/3_data_exploration/README.md
+++ b/3_data_exploration/README.md
@@ -1 +1,169 @@
# Data Exploration
+
+
+
+## UN Comtrade data preparation script
+
+### 1. **Input dataset**
+
+ File:../1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx
+
+### 2. Exploratory Data Analysis (EDA) Steps
+
+- Load the cleaned dataset from GitHub.
+- Display general dataset information and description.
+- Generate descriptive statistics for numeric columns:
+ 'Mean, standard deviation, minimum, and maximum values'
+- Identify potential outliers in relevant columns using simple statistical
+ boxplot charts
+- Analyze relationships between key variables
+- Generate initial visualizations for selected conflict-affected countries
+ (e.g., Sudan, Palestine, Ukraine) to highlight trade patterns and potential correlations.
+
+### 3. Key Questions
+
+- Do you have the right data?
+The dataset contains relevant trade information; however, it is not
+ comprehensive enough to address all aspects of our research questions.
+- Do you need other data?
+Yes, we require additional data on conflict events such as their dates,
+intensity, and duration to provide a more complete analysis.
+- Do you have the right question?
+The research question is well-formulated, but to address it thoroughly, we need
+ to collect additional data.
+- The research question is well-formulated, but to address it thoroughly, we need
+ to collect additional data.
+
+------
+
+## On-Grid Data Preparation
+
+### 1. Input dataset
+
+ File: ../1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx
+
+### EDA 1
+
+The analysis revealed a substantial gap in electricity capacity between conflict and comparison countries, with conflict-affected regions showing significantly lower infrastructure development.
+
+**Main Discoveries:**
+- Conflict areas are getting MORE solar power, not less - went from almost zero to 8,000+ MW in 15 years
+- People skip regular electricity and go straight to solar in conflict zones
+- Solar growth exploded after 2015 in conflict areas
+- Peaceful countries grow solar slowly and steadily
+
+**Surprising Finding:**
+War-torn areas are actually adopting solar faster than peaceful ones!
+
+**Overall Insight:** While conflict regions face significant challenges in traditional energy infrastructure, they're experiencing remarkable growth in solar capacity, potentially leapfrogging traditional energy systems.
+
+### EDA 2
+
+Focused only on the 9 conflict countries and phases :
+**Why EDA 2 Focuses on Conflict-Affected Countries?**
+- The research question specifically targets **conflict-affected regions.**
+- EDA 1 showed _extreme disparities in energy trends_ between conflict and other countries.
+- Comparison countries dominate the dataset, making comparisons **statistically unbalanced.**
+- Many "comparison" countries did not experience a full-cycle phases periods of conflict in the past 25 years — making classification unclear.
+- Conflict countries showed unexpected patterns, like the solar surge in 2015–2020, which deserve deeper investigation individually.
+- A focused analysis allows context-specific insights into how conflict influences solar adoption and on-grid and off-grid.
+
+Based on this [**research document**](https://docs.google.com/document/d/1uxgQp8gesLcbfaCGLQAHn3Kgvyu2ZDGxgG-LSWEfq8s/edit?tab=t.0#heading=h.eeoohb5d7fi7) the phases of the 9 conflict countries were added.
+
+**Main Discoveries:**
+- **Ukraine has 8,000+ MW** - 30x more than any other country
+- **Active Conflict stops solar growth** - capacity drops during wars
+- **Three waves**: Early starters (2004-2010), Middle (2015-2018), Recent (2018-2025)
+- **Rapid growth possible** - 500%+ increases in stable periods
+
+**Suprising Findings:**
+- **War zones still build solar** - Yemen hit 250 MW during conflict
+- **2018-2022 was golden period** - most countries started then
+- **Recovery is slow** - Sudan/Ethiopia recover best, Libya struggled
+
+**Key Insight:**
+- Conflict disrupts but doesn't stop solar development.
+ _Countries can rapidly build solar capacity during brief stable periods, but growth becomes highly volatile during wars._
+
+**Numbers:**
+- Ukraine: 8,000+ MW
+- Yemen: 250 MW
+- Sudan: 100 MW
+- Others: Under 50 MW
+
+### 2. Output dataset
+
+- **File**: `../1_datasets/cleaned data\ONG_conflictcountriesonly.xlsx`
+ - - **Path**: `1_datasets/cleaned_data/`
+ - **Description:** Contains annual electricity installed capacity (MW) per the 9 countries only, with corresponding conflict phase classification.
+ - **File Link**: [ONG_conflict countriesonly](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/cleaned_data/ONG_conflictcountriesonly.xlsx)
+ - **Conflict Phases Defined:**
+- Pre-conflict
+- Active conflict
+- Post-conflict
+(Defined manually per country using historical conflict timelines)
+
+ Conflicted- Affected Countries (9) in the past _25 years_: **Syria, Iraq, Sudan, South Sudan, Ethiopia, Ukraine, Yemen, Libya, Afghanistan**
+Based on this [**research document**](https://docs.google.com/document/d/1uxgQp8gesLcbfaCGLQAHn3Kgvyu2ZDGxgG-LSWEfq8s/edit?tab=t.0#heading=h.eeoohb5d7fi7) the phases of the 9 conflict countries were added.
+
+### 3. Exploratory Data Analysis (EDA) Steps
+
+- Load Dataset
+ - Loaded from GitHub using pandas.read_excel() with openpyxl engine.
+- General Information
+ - Used .info() and .describe() to inspect structure, types, nulls, and distributions.
+- Descriptive Statistics
+ - Analyzed Electricity Installed Capacity (MW):
+ - Mean: Provided insight into average installed capacity
+ - Std deviation: Identified variance across countries and years
+ - Min/Max: Helped identify extreme values (potential outliers)
+- Missing Values
+Checked for nulls using df.isnull().sum() — no major issues found.
+- Outlier Detection
+ - Used boxplots on:
+ - Electricity Installed Capacity (MW) by RE or Non-RE
+- Key Variable Relationships
+ - Compared capacity trends by:
+ - Year vs Classification
+ - Producer Type (On-grid/Off-grid) vs Classification
+ - Visualized using seaborn lineplot and countplot
+- Initial Country Visuals
+ - Filtered for conflict-affected countries (e.g., Sudan, Syria, Ukraine)
+ - Plotted solar vs other renewables over time
+ - Showed variation in growth rates and technology mix across countries
+
+### 3. Key Questions
+
+- **Do you have the right data?**
+ Partially. The dataset provides reliable installed capacity data across countries, years, and technology types, especially for renewable energy trends.
+- **Do you need other data?**
+ Yes. To fully understand the role of solar adoption in conflict zones, we needed:
+ - Conflict event timelines added
+- **Do you have the right question?**
+Yes.
+
+-------
+
+## Off-Grid data preparation
+
+### 1. **Input dataset**
+
+ File:../1_datasets/cleaned_data/IRENA_OFGStats.cleaned.xlsx
+
+### 2. Exploratory Data Analysis (EDA) Steps
+
+- Loaded the clean dataset.
+- checked for general information using df.info()
+- Made several visuals to understand the gist of the dateset ->
+ - Line plots to capture the off-grid capacity and off-grid energy access over time.
+ - Bar plots to illustrate Total Off-grid Solar Capacity and Energy access by Region and Conflict Status.
+ - Box plots to show Distribution of Off-grid Capacity and Energy access by Conflict Status.
+ - bar plots to view the entries by: conflict status and group technology.
+
+### 3. Key Questions
+
+- **Do you have the right data?**
+ - This dataset is highly relevant to our case study, but it need to be accompanied by other data.
+
+- **Do you need other data?**
+ - Yes, we need more comprehensive conflict data and a wider array of socioeconomic indicators.
diff --git a/3_data_exploration/UN_comtrade_data_exploration.ipynb b/3_data_exploration/UN_comtrade_data_exploration.ipynb
new file mode 100644
index 000000000..ab28643e4
--- /dev/null
+++ b/3_data_exploration/UN_comtrade_data_exploration.ipynb
@@ -0,0 +1,1209 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "392893af",
+ "metadata": {},
+ "source": [
+ "**Exploratory Data Analysis**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "dabeb125",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# import libraries\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "8633eb47",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ],
+ "text/plain": [
+ " Year Country reporterISO Net_Weight_kg Value_USD\n",
+ "131 2019 Afghanistan AFG 0.0 8.993286e+07\n",
+ "0 2007 Central African Rep. CAF 1796.0 2.648900e+04\n",
+ "45 2011 Central African Rep. CAF 30081.0 1.956920e+05\n",
+ "56 2012 Central African Rep. CAF 26030.0 2.130460e+05\n",
+ "67 2013 Central African Rep. CAF 2640.0 1.014400e+04\n",
+ ".. ... ... ... ... ...\n",
+ "31 2009 Yemen YEM 5074.0 6.677900e+04\n",
+ "130 2018 Yemen YEM 6910976.0 3.944910e+07\n",
+ "10 2007 Yemen YEM 4663.0 1.739300e+05\n",
+ "76 2013 Yemen YEM 100209.0 3.408000e+05\n",
+ "86 2014 Yemen YEM 940785.0 5.152166e+06\n",
+ "\n",
+ "[178 rows x 5 columns]"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sorted_df = aggregated_df.sort_values(by=\"Country\")\n",
+ "sorted_df.head(180)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5b8a7fb4",
+ "metadata": {},
+ "source": [
+ "## The Impact of Conflict Zones on Renewable Energy Adoption\n",
+ "\n",
+ "The following visualizations explore how conflict zones may influence the adoption and spread of renewable energy technologies. By analyzing import values and trends for key products (such as solar panels and generators) in selected countries, we can observe patterns that may be linked to periods of conflict or instability. These charts help illustrate the relationship between geopolitical events and the uptake of sustainable energy solutions in affected regions.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "id": "f1d3a62e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# --- Step 1: Isolate the data for a single country\n",
+ "\n",
+ "country_to_plot = \"Sudan\"\n",
+ "country_df = aggregated_df.loc[aggregated_df[\"Country\"] == country_to_plot].copy()\n",
+ "\n",
+ "# sort by year before plotting to ensure the line connects points correctly.\n",
+ "country_df.sort_values(\"Year\", inplace=True)\n",
+ "\n",
+ "\n",
+ "# --- Step 2: Create the plot ---\n",
+ "\n",
+ "# --- Bar Chart of USD Value (Good for comparing specific years) ---\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "\n",
+ "plt.bar(\n",
+ " country_df[\"Year\"], # X-axis\n",
+ " country_df[\"Value_USD\"], # Bar heights\n",
+ " color=\"skyblue\", # A nice blue color for bars\n",
+ ")\n",
+ "\n",
+ "# Add titles and labels\n",
+ "plt.title(f\"Total Panels And Generators Import Value (USD) for {country_to_plot}\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Value (USD) - in millions\")\n",
+ "plt.xticks(country_df[\"Year\"])\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "# Display the plot\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "id": "7afb07e8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# --- Step 1: Isolate the data for a single country\n",
+ "\n",
+ "country_to_plot = \"Ukraine\"\n",
+ "country_df = aggregated_df.loc[aggregated_df[\"Country\"] == country_to_plot].copy()\n",
+ "\n",
+ "# sort by year before plotting to ensure the line connects points correctly.\n",
+ "country_df.sort_values(\"Year\", inplace=True)\n",
+ "\n",
+ "\n",
+ "# --- Step 2: Create the plot ---\n",
+ "\n",
+ "# --- Bar Chart of USD Value (Good for comparing specific years) ---\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "\n",
+ "plt.bar(\n",
+ " country_df[\"Year\"], # X-axis\n",
+ " country_df[\"Value_USD\"], # Bar heights\n",
+ " color=\"skyblue\", # A nice blue color for bars\n",
+ ")\n",
+ "\n",
+ "# Add titles and labels\n",
+ "plt.title(f\"Total Panels And Generators Import Value (USD) for {country_to_plot}\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Value (USD) - in millions\")\n",
+ "plt.xticks(country_df[\"Year\"])\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "# Display the plot\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 26,
+ "id": "fa492e81",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# --- Step 1: Isolate the data for a single country\n",
+ "\n",
+ "country_to_plot = \"Ethiopia\"\n",
+ "country_df = aggregated_df.loc[aggregated_df[\"Country\"] == country_to_plot].copy()\n",
+ "\n",
+ "# sort by year before plotting to ensure the line connects points correctly.\n",
+ "country_df.sort_values(\"Year\", inplace=True)\n",
+ "\n",
+ "\n",
+ "# --- Step 2: Create the plot ---\n",
+ "\n",
+ "# --- Bar Chart of USD Value (Good for comparing specific years) ---\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "\n",
+ "plt.bar(\n",
+ " country_df[\"Year\"], # X-axis\n",
+ " country_df[\"Value_USD\"], # Bar heights\n",
+ " color=\"skyblue\", # A nice blue color for bars\n",
+ ")\n",
+ "\n",
+ "# Add titles and labels\n",
+ "plt.title(f\"Total Panels And Generators Import Value (USD) for {country_to_plot}\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Value (USD) - in millions\")\n",
+ "plt.xticks(country_df[\"Year\"])\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "# Display the plot\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "0ffb13e5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# --- Step 1: Isolate the data for a single country\n",
+ "\n",
+ "country_to_plot = \"Pakistan\"\n",
+ "country_df = aggregated_df.loc[aggregated_df[\"Country\"] == country_to_plot].copy()\n",
+ "\n",
+ "# sort by year before plotting to ensure the line connects points correctly.\n",
+ "country_df.sort_values(\"Year\", inplace=True)\n",
+ "\n",
+ "\n",
+ "# --- Step 2: Create the plot ---\n",
+ "\n",
+ "# --- Bar Chart of USD Value (Good for comparing specific years) ---\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "\n",
+ "plt.bar(\n",
+ " country_df[\"Year\"], # X-axis\n",
+ " country_df[\"Value_USD\"], # Bar heights\n",
+ " color=\"skyblue\", # A nice blue color for bars\n",
+ ")\n",
+ "\n",
+ "# Add titles and labels\n",
+ "plt.title(f\"Total Panels And Generators Import Value (USD) for {country_to_plot}\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Value (USD) - in millions\")\n",
+ "plt.xticks(country_df[\"Year\"])\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "# Display the plot\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4fc87dda",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "country_to_plot = \"south Sudan\"\n",
+ "country_df = aggregated_df.loc[aggregated_df[\"Country\"] == country_to_plot].copy()\n",
+ "\n",
+ "# sort by year before plotting to ensure the line connects points correctly.\n",
+ "country_df.sort_values(\"Year\", inplace=True)\n",
+ "\n",
+ "\n",
+ "# --- Step 2: Create the plot ---\n",
+ "\n",
+ "# --- Bar Chart of USD Value (Good for comparing specific years) ---\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "\n",
+ "plt.bar(\n",
+ " country_df[\"Year\"], # X-axis\n",
+ " country_df[\"Value_USD\"], # Bar heights\n",
+ " color=\"skyblue\", # A nice blue color for bars\n",
+ ")\n",
+ "\n",
+ "# Add titles and labels\n",
+ "plt.title(f\"Total Panels And Generators Import Value (USD) for {country_to_plot}\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Value (USD) - in millions\")\n",
+ "plt.xticks(country_df[\"Year\"])\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "# Display the plot\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/3_data_exploration/solar_imports_with_conflict_group.xlsx b/3_data_exploration/solar_imports_with_conflict_group.xlsx
new file mode 100644
index 000000000..9127f18c6
Binary files /dev/null and b/3_data_exploration/solar_imports_with_conflict_group.xlsx differ
diff --git a/4_data_analysis/README.md b/4_data_analysis/README.md
index b0957fc33..35bdad841 100644
--- a/4_data_analysis/README.md
+++ b/4_data_analysis/README.md
@@ -1 +1,345 @@
# Data Analysis
+
+
+## _Analytical Questions_
+
+## Q1. **What are the trends in solar energy adoption across the conflict cycle—pre-conflict, active conflict, and post-conflict periods—in conflict-affected countries?**
+
+> **Analysis File:** [phases_analysis.ipynb](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/4_data_analysis/phases_analysis.ipynb)
+> **Technical Explanation:** [tech_exp.md](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/9ab2b7b9b55ea2ae81c0e6b93cc95eeace6f59e7/4_data_analysis/phases_analysis/3.tech_exp.md)
+> **Non-Technical Explanation:** [non_tech_exp.md](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/1d6bc8faea79a39dbc9175977e4577ed14e26799/4_data_analysis/phases_analysis/2.non_tech_exp.md)
+
+
+1. Dataset
+
+#### A. **Input dataset**
+
+- **File**: `../1_datasets/cleaned data\ONG_conflictcountriesonly.xlsx`
+- **Description:** Contains annual electricity installed capacity (MW) per the 9 countries only, with corresponding conflict phase classification.
+
+#### B. **Data Quality & Standardization:**
+
+ - **Missing Data Check:**
+ - No missing values were found across all columns, including:
+ - Country, Year, Electricity Installed Capacity (MW), and others.
+ - A check using `pandas.isnull().sum()` confirmed zero null values per column.
+ - No interpolation was necessary.
+
+ - **Data Standardization**
+ - **Country column**
+ Cleaned to ensure consistency by:
+ - Removing leading/trailing whitespace
+ - Converting all names to title case (e.g., "sudan" → "Sudan")
+
+ - **Year column**
+ Ensured to be of integer type to allow accurate sorting and grouping by year.
+
+#### C. **Sorting the Dataset**
+
+To prepare for time-series analysis and ensure accurate visualizations:
+- The dataset was **sorted by `Country` and `Year`** using `pandas.sort_values()`.
+
+This ensures that each country’s solar energy data appears in **chronological order**, which is essential for:
+ - **Line plots**
+ - **Phase-based comparisons**
+ - **Trend analysis over time**
+
+> Sorting prevents jumbled or misleading graphs and allows clear visualization of patterns like solar capacity growth from pre-conflict to post-conflict periods.
+
+
+
+
+2. Conducting Analysis
+
+To answer the question the following steps were taken:
+
+**a. Analysis Techniques Used**:
+- **Line Charts**: Solar adoption trends by country over time.
+- **Stacked Bar Charts**: Comparison of installed capacity per conflict phase.
+- **Heatmaps**: Visual growth intensity per country and year.
+- **Regression Plots**: Basic linear regression during conflict periods.
+- **Archetype Table**: Pattern classification of country behaviors.
+- Added Economic Status column to help in analysis.
+
+ Charts and visuals generated using `matplotlib`, `seaborn`.
+Output folder for **graphs only:** `4_data_analysis/phases_analysis/2.output_graphs`
+
+
+
+
+3. Assumptions and Limitations
+
+#### - Assumptions
+
+- Conflict phase years manually assigned using conflict timelines.
+- Off-grid data may be underreported in national statistics.
+- Growth during conflict may be due to emergency policies or donor funding, not sustained planning.
+
+#### - Limitations
+
+- Incomplete post-conflict data for countries like Syria and Yemen, some are even still active.
+- Data does not account for:
+ - Localized variations in conflict severity
+ - Influence of external aid or solar subsidies
+- Small dataset (only 9 countries) limits global generalization.
+- "Conflict period" definitions may not fully reflect complex realities.
+- Installed ≠ working — some reported capacity might not be functional.
+- Ukraine’s extreme growth (50,000+ MW) skews comparative visuals.
+
+
+
+
+
+4. Key Findings & Summary
+
+#### - Conflict-Phase Solar Adoption Summary
+
+| **Conflict Phase** | **Key Countries** | **Observation** |
+|------------------------|-----------------------------------------|---------------------------------------------------------------------------|
+| **Pre-Conflict** | Ethiopia, Sudan | Very limited growth — solar was not a strategic priority pre-conflict |
+| **Active-Conflict** | Ukraine, Yemen, Sudan, Afghanistan | Peak solar installation, driven by emergency needs and resilience efforts |
+| **Post-Conflict** | Iraq, South Sudan, Afghanistan | Recovery and growth due to international aid and reconstruction support |
+
+---
+
+#### - Archetype-Based Country Patterns
+
+| Archetype | Countries | Traits |
+|--------------------------|------------------------------------|-----------------------------------------------------------------------|
+| **Conflict-Fueled Growth** | Ukraine, Yemen, Syria, Sudan | Rapid adoption during war; survival and independence were key drivers |
+| **Recovery-Driven Growth** | Iraq, South Sudan, Afghanistan | Modest growth during war, stronger recovery post-conflict |
+| **Stalled Post-Conflict** | Ukraine (dip), Yemen (plateau) | Growth halted after early gains |
+| **Fragile, Flat Growth** | Libya, Ethiopia | Low growth in all phases |
+
+---
+
+More analysis
+
+#### - Regression Analysis: Solar Capacity vs. Conflict Period
+
+- **Model Output:**
+ - **Coefficient**: +1359.32
+ - **Intercept**: 568.99
+- **Interpretation:**
+ > On average, solar capacity grew significantly during conflict periods, suggesting a positive correlation. Conflicts can act as a disruptive yet accelerating factor for decentralized energy systems.
+
+#### - On-Grid vs Off-Grid Trends
+
+**1. Grid-Connected Solar Dominates:**
+- Avg. grid capacity: ~1,600 MW
+- Avg. off-grid: ~50 MW
+
+**2. Off-Grid Systems Used During Conflict:**
+- Portable and fast to deploy
+- Especially important in rural conflict zones
+
+
+
+## Q2. **To what extent are these datasets comparable, and what differences, if any, exist in what they measure?**
+
+> **Analysis File:** [comparison_analysis.ipynb](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/comparison-analysis/4_data_analysis/data_comparison_analysis/comparison_analysis.ipynb)
+> **Technical Explanation:** [tech_exp.md](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/comparison-analysis/4_data_analysis/data_comparison_analysis/tech_explanation.md)
+> **Non-Technical Explanation:** [non_tech_exp.md](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/comparison-analysis/4_data_analysis/data_comparison_analysis/non_tech_explanation.md)
+
+
+1. Dataset
+
+#### A. **Input dataset**
+
+We used three datasets to analyze solar adoption trends across four conflict-affected countries:
+
+- **UN Comtrade**: Annual solar equipment import values (USD).
+- **IRENA**: On-grid solar capacity (MW), by year and country.
+- **IRENA**: Off-grid solar capacity (MW), by year and country.
+
+The countries examined were:
+
+- **Ukraine** (imports vs on-grid),
+- **Sudan** (on-grid vs off-grid),
+- **Yemen** and **Ethiopia** (imports vs off-grid).
+
+All datasets were filtered to include only solar technologies (e.g., _“Solar photovoltaic”_), and aggregated by year and country.
+
+
+
+
+2. Conducting Analysis
+
+### Steps Taken
+
+- **Cleaning & Filtering**: Removed non-solar entries, retained only relevant categories like _“Solar PV (Others)”_.
+- **Aggregation**: Used `.groupby()` and `.sum()` to calculate total imports and capacity per year.
+- **Normalization**: Applied Min-Max scaling to compare variables with different units (USD vs MW).
+- **Merging**: Joined datasets on `Year` and `Country` using `pd.merge()` for aligned year-over-year comparison.
+- **Correlation**: Calculated Pearson correlation coefficients to quantify linear relationships between variables.
+- **Visualization**: Created time-series line and scatter plots for each country and variable pair.
+
+
+
+
+3. Assumptions and Limitations
+
+### Assumptions
+
+- Import values are assumed to reflect solar-related purchases.
+- Conflict data was not yet incorporated, despite being core to the broader research focus.
+- On-grid and off-grid systems are considered functionally separate in fragile contexts.
+- Min-Max normalization was used to enable direct trend comparisons.
+
+### Limitations
+
+- **Import ≠ Deployment**: Equipment might be stockpiled, unused, or re-exported.
+- **No time lags modeled**: Imports may impact deployment in future years.
+- **Normalization hides magnitude**: Actual deployment scale is flattened.
+- **Sparse data**: Yemen and Ethiopia had limited off-grid data years.
+- **Linear focus**: Pearson correlation doesn’t detect nonlinear or delayed effects.
+- **Data gaps**: Not all countries had data across all years.
+- **Some Conflict timelines missing**: Deployment may correlate with conflict intensity or aid, but this was not tested.
+
+
+
+
+4. Key Findings & Summary
+
+- **Ukraine**: Some alignment between import and on-grid deployment trends. Pearson correlation = **0.34**. Visual patterns suggest policy or donor-driven surges.
+- **Ethiopia**: Strong correlation (**0.9**) between imports and off-grid deployment (2013–2023), though data range is short.
+- **Yemen**: Similar to Ethiopia but even more limited data coverage.
+- **Sudan**: On-grid and off-grid deployments grew independently. Off-grid systems surged, possibly due to decentralized aid and resilience strategies.
+
+> **Conclusion**: Import trends sometimes reflect deployment trends — but **not reliably across all contexts**. Aid flows, informal markets, and conflict dynamics complicate the relationship.
+
+
+
+----
+
+## **Q3. How does prolonged conflict impact solar product imports and their market dynamics across conflict-affected countries?**
+
+> **Objective:**
+ Explore the relationship between conflict duration and solar product import
+ trends, including product category mix and pricing, while comparing
+ conflict-affected countries with stable countries.
+
+> **Analysis File:** [4_data_analysis\duration_analysis\conflict_duration_analysis.ipynb](duration_analysis/conflict_duration_analysis.ipynb)
+> **Technical Explanation:** [4_data_analysis/duration_analysis/technical_explanation.md](duration_analysis/technical_explanation.md)
+> **Non-Technical Explanation:** [non_tech_exp.md](duration_analysis/non_tech_exp.md)
+
+
+1. Dataset
+
+### A. Input dataset
+
+- **File:** 4_data_analysis\Conflict_Duration_Analysis\conflict_duration_analysis.ipynb
+- **Description:** Annual solar product import data across multiple countries
+ (conflict-affected and stable), containing:
+ - Country
+ - Year
+ - Product Description
+ - Net Weight (kg)
+ - Import Value (USD)
+
+### B. **Data Processing & Standardization:**
+
+### Conflict Duration Categories
+
+- **Continuous Conflict Countries:**
+ Afghanistan, Syria, Yemen, Sudan , State of Palestine, Libya, Mali
+
+- **Periodical Conflict Countries:**
+ Iraq, Nigeria, Central African Republic, Ethiopia, Ukraine, Myanmar,
+ Pakistan, Mozambique
+
+- **No Conflict Countries:**
+ Germany, Morocco, Rwanda, Saudi Arabia
+
+- **Product Categorization:**
+ Imported solar products classified into:
+ - PV Modules
+ - Inverters
+ - Lead-Acid Batteries
+ - Lithium Batteries
+ - Solar Lamps
+ - Solar Generators
+ - Other
+
+**Data Cleaning:**
+
+- Changed column names and removed unnecessary ones.
+- Treated null and zero values.
+- Added new columns to indicate conflict year status and GDP category.
+
+
+
+2. Conducting Analysis
+
+## The following analyses were conducted
+
+- **Comparison of Solar Imports Over Time:**
+ Total import values compared between:
+ - Continuous Conflict countries
+ - Periodical Conflict countries
+ - Stable countries
+
+- **Product Mix Analysis:**
+ Breakdown of solar product categories imported during conflict group
+
+- **Country-Specific Trends:**
+ Time series of imports by key product categories (PV Modules, Solar Lamps,
+ Lithium Batteries) for each group
+
+- **Price Trends:**
+ Analysis of average price per kg for main product categories during conflict
+ years to detect market pricing shifts.
+
+Visualizations generated using `matplotlib` and `seaborn`, including line plots,
+ bar charts, and shaded conflict period areas.
+
+
+
+
+3. Assumptions and Limitations
+
+- **Imports rise during conflicts** in countries like Syria, Yemen, and Ukraine, reflecting increased demand for alternative energy.
+ _→ Conflict often damages centralized power grids, increasing reliance on imported solar products as emergency energy solutions._
+
+- **Conflict-period imports** often exceed pre- and post-conflict levels.
+ _→ During active conflict, demand for decentralized and backup power sources spikes, especially in humanitarian or survival contexts._
+
+- **Stable countries** show more **gradual and steady import growth**.
+ _→ Without urgent disruption, energy transitions in stable countries tend to follow policy-driven, long-term investment plans._
+
+- **PV Modules** dominate overall imports.
+ _→ PV panels are the core component of solar systems, making them the foundation of any solar energy deployment strategy._
+
+- **Solar Lamps** and **Lithium Batteries** have a **larger share during conflicts**, indicating a need for portable power.
+ _→ In emergencies, small-scale, off-grid solutions are critical for lighting, communication, and basic household use — especially when grid access is unreliable._
+
+- **Inverters** and **Lead-Acid Batteries** maintain **smaller, steady shares**.
+ _→ These components support more permanent solar setups, which are harder to install or maintain during unstable conditions._
+
+
+
+
+4. Key Findings & Summary
+
+- Solar imports tend to increase in periodical conflict countries rather than in continuous conflict countries.
+- Import patterns vary by economic status.
+- PV modules are the most imported solar product.
+- Conflict type, economy, and stability influence solar adoption.
+
+
+
+
+5. Takeaway Insights
+
+- **Conflict periods often coincide with increased solar imports in affected
+ countries, likely due to humanitarian aid and urgent energy needs.**
+- **Product mixes shift towards portable and off-grid solutions (solar lamps,
+ lithium batteries) during conflicts, emphasizing resilience needs.**
+- **Stable countries exhibit steadier import growth, indicating planned,
+ long-term solar adoption rather than reactive demand.**
+- **Price fluctuations during conflict highlight supply chain vulnerability
+ but also market adaptation to urgent demand.**
+- **Country-specific trends reveal how the nature and duration of conflicts
+ shape solar product import patterns, useful for targeting aid and development programs.**
+
+
diff --git a/4_data_analysis/data_comparison_analysis/comparison_analysis.ipynb b/4_data_analysis/data_comparison_analysis/comparison_analysis.ipynb
new file mode 100644
index 000000000..ce577459d
--- /dev/null
+++ b/4_data_analysis/data_comparison_analysis/comparison_analysis.ipynb
@@ -0,0 +1,3693 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "gk5ulKMHqd4d",
+ "metadata": {
+ "id": "gk5ulKMHqd4d"
+ },
+ "source": [
+ "# Data Analysis\n",
+ "### Sub-Analytical Question:\n",
+ "#### **To what extent are these datasets comparable and consistent, and what differences, if any, exist in what they measure?**"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "cedb6177",
+ "metadata": {
+ "id": "cedb6177"
+ },
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "230f7048",
+ "metadata": {
+ "id": "230f7048"
+ },
+ "outputs": [],
+ "source": [
+ "# 1. Load datasets\n",
+ "importsdf = pd.read_excel(\n",
+ " \"https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/raw/refs/heads/main/1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx\"\n",
+ ")\n",
+ "ongriddf = pd.read_excel(\n",
+ " \"https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/raw/refs/heads/main/1_datasets/cleaned_data/IRENA_ONGRIDStats.cleaned.xlsx\"\n",
+ ")\n",
+ "offgriddf = pd.read_excel(\n",
+ " \"https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/raw/refs/heads/main/1_datasets/cleaned_data/IRENA_OFGStats.cleaned.xlsx\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "93b9d0f0",
+ "metadata": {
+ "id": "93b9d0f0"
+ },
+ "outputs": [],
+ "source": [
+ "# 2. Standardize & select\n",
+ "imports_df = importsdf.rename(columns={\"Value_USD\": \"Imports_USD\"})\n",
+ "ongrid_df = ongriddf.rename(\n",
+ " columns={\"Electricity Installed Capacity (MW)\": \"OnGrid_MW\"}\n",
+ ")\n",
+ "offgrid_df = offgriddf.rename(columns={\"Value\": \"OffGrid_MW\"})"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "af5d6593",
+ "metadata": {
+ "collapsed": true,
+ "id": "af5d6593"
+ },
+ "outputs": [],
+ "source": [
+ "# === Filter ON-GRID for only solar-related entries ===\n",
+ "# solar_ongrid = ongrid_df[\n",
+ "# (ongrid_df[\"Technology\"].str.contains(\"Solar photovoltaic\", case=False, na=False)) &\n",
+ "# (ongrid_df[\"Producer Type\"].str.contains(\"On-grid electricity\", case=False, na=False))\n",
+ "# ]\n",
+ "# solar_ongrid.head(30)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "7827b356",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 206
+ },
+ "collapsed": true,
+ "executionInfo": {
+ "elapsed": 115,
+ "status": "ok",
+ "timestamp": 1753101835487,
+ "user": {
+ "displayName": "Mohamed Altayeb",
+ "userId": "11689706532021511115"
+ },
+ "user_tz": -120
+ },
+ "id": "7827b356",
+ "outputId": "ac5d4644-cac5-414a-a541-da248031b964"
+ },
+ "outputs": [],
+ "source": [
+ "# Group and aggregate total installed solar capacity by Country & Year\n",
+ "# solar_ongrid_agg = solar_ongrid.groupby(\n",
+ "# [\"Country\", \"Year\"], as_index=False\n",
+ "# )[\"OnGrid_MW\"].sum()\n",
+ "# solar_ongrid_agg.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "47acbf1a",
+ "metadata": {
+ "id": "47acbf1a"
+ },
+ "outputs": [],
+ "source": [
+ "# === Filter OFF-GRID for only solar-related deployment (exclude people counts etc.) ===\n",
+ "# Keep only rows that represent power capacity (not people, households, etc.)\n",
+ "valid_units = [\"kW\", \"MW\"]\n",
+ "offgrid_df = offgrid_df[offgrid_df[\"Unit\"].isin(valid_units)]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "6f12da5e",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "collapsed": true,
+ "executionInfo": {
+ "elapsed": 176,
+ "status": "ok",
+ "timestamp": 1753130205405,
+ "user": {
+ "displayName": "Mohamed Altayeb",
+ "userId": "11689706532021511115"
+ },
+ "user_tz": -120
+ },
+ "id": "6f12da5e",
+ "outputId": "b0f6991c-70cc-4262-af21-32a6571d552f"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "<>:4: SyntaxWarning: invalid escape sequence '\\('\n",
+ "<>:4: SyntaxWarning: invalid escape sequence '\\('\n",
+ "C:\\Users\\moham\\AppData\\Local\\Temp\\ipykernel_19264\\2650819059.py:4: SyntaxWarning: invalid escape sequence '\\('\n",
+ " \"Solar PV \\(Others\\)|Solar mini-grids\", case=False, na=False\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Country
\n",
+ "
ISO Code
\n",
+ "
Flow
\n",
+ "
Group Technology
\n",
+ "
Sub-Technology
\n",
+ "
Technology
\n",
+ "
OffGrid_MW
\n",
+ "
Unit
\n",
+ "
Year
\n",
+ "
Conflict Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2010
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2011
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Africa
\n",
+ "
Angola
\n",
+ "
AGO
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2012
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Africa
\n",
+ "
Benin
\n",
+ "
BEN
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2010
\n",
+ "
No Conflict
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Africa
\n",
+ "
Benin
\n",
+ "
BEN
\n",
+ "
Off-grid capacity
\n",
+ "
Solar energy
\n",
+ "
Solar PV (Others)
\n",
+ "
Other off-grid solar PV
\n",
+ "
0.0
\n",
+ "
MW
\n",
+ "
2011
\n",
+ "
No Conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Country ISO Code Flow Group Technology \\\n",
+ "0 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "1 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "2 Africa Angola AGO Off-grid capacity Solar energy \n",
+ "3 Africa Benin BEN Off-grid capacity Solar energy \n",
+ "4 Africa Benin BEN Off-grid capacity Solar energy \n",
+ "\n",
+ " Sub-Technology Technology OffGrid_MW Unit Year \\\n",
+ "0 Solar PV (Others) Other off-grid solar PV 0.0 MW 2010 \n",
+ "1 Solar PV (Others) Other off-grid solar PV 0.0 MW 2011 \n",
+ "2 Solar PV (Others) Other off-grid solar PV 0.0 MW 2012 \n",
+ "3 Solar PV (Others) Other off-grid solar PV 0.0 MW 2010 \n",
+ "4 Solar PV (Others) Other off-grid solar PV 0.0 MW 2011 \n",
+ "\n",
+ " Conflict Status \n",
+ "0 No Conflict \n",
+ "1 No Conflict \n",
+ "2 No Conflict \n",
+ "3 No Conflict \n",
+ "4 No Conflict "
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Keep solar records that are either \"Solar PV (Others)\" or \"Solar mini-grids\"\n",
+ "solar_offgrid = offgrid_df[\n",
+ " offgrid_df[\"Sub-Technology\"].str.contains(\n",
+ " \"Solar PV \\(Others\\)|Solar mini-grids\", case=False, na=False\n",
+ " )\n",
+ "]\n",
+ "\n",
+ "solar_offgrid.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "d9fbe35d",
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "collapsed": true,
+ "executionInfo": {
+ "elapsed": 73,
+ "status": "ok",
+ "timestamp": 1753131592157,
+ "user": {
+ "displayName": "Mohamed Altayeb",
+ "userId": "11689706532021511115"
+ },
+ "user_tz": -120
+ },
+ "id": "d9fbe35d",
+ "outputId": "8dad54bb-5a9f-43f1-987c-bfaa64e0c06b"
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Line plot\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "\n",
+ "# Plot normalized Off-Grid MW\n",
+ "plt.plot(\n",
+ " sudan_merged[\"Year\"],\n",
+ " sudan_merged[\"OffGrid_Normalized\"],\n",
+ " label=\"Normalized Off-Grid Solar (MW)\",\n",
+ " marker=\"o\",\n",
+ " linestyle=\"-\",\n",
+ ")\n",
+ "\n",
+ "# Plot normalized On-Grid MW\n",
+ "plt.plot(\n",
+ " sudan_merged[\"Year\"],\n",
+ " sudan_merged[\"OnGrid_Normalized\"],\n",
+ " label=\"Normalized On-Grid Non Solar (MW)\",\n",
+ " marker=\"s\",\n",
+ " linestyle=\"-\",\n",
+ ")\n",
+ "\n",
+ "# Customize the plot\n",
+ "plt.title(\"Sudan: Normalized Off-Grid Solar vs. On-Grid Non Solar (MW)\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Normalized Value (0–1)\")\n",
+ "plt.legend()\n",
+ "plt.grid(True)\n",
+ "plt.xticks(sudan_merged[\"Year\"])\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ }
+ ],
+ "metadata": {
+ "colab": {
+ "collapsed_sections": [
+ "DEnmOANCFwgr",
+ "GqifOhJDIeeF"
+ ],
+ "provenance": []
+ },
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/4_data_analysis/data_comparison_analysis/non_tech_explanation.md b/4_data_analysis/data_comparison_analysis/non_tech_explanation.md
new file mode 100644
index 000000000..38a3ad9df
--- /dev/null
+++ b/4_data_analysis/data_comparison_analysis/non_tech_explanation.md
@@ -0,0 +1,94 @@
+# 🔍 Research Conclusions
+
+Our analysis suggests that there is **moderate alignment** between solar
+equipment import trends and solar electricity deployment trends in some
+conflict-affected countries — notably Ukraine. In contrast, in places like
+Sudan, off-grid deployment seems to grow independently from centralized
+systems, highlighting the role of solar as a decentralized resilience
+technology. However, inconsistencies, missing data, and differing
+deployment patterns suggest that **import value alone is not a reliable
+proxy** for solar adoption in all contexts.
+
+---
+
+## 📊 Summary of Analysis Approach
+
+We analyzed three datasets:
+
+1. UN Comtrade data on **solar equipment imports** by country and year.
+2. IRENA data on **on-grid solar electricity deployment** (MW).
+3. IRENA data on **off-grid solar deployment** (MW).
+
+We cleaned and filtered the data to focus only on solar technologies and
+aggregated them by year and country. The datasets were then normalized
+using Min-Max scaling and merged by year to allow direct comparisons.
+
+We focused on four countries:
+
+- **Ukraine**: imports vs on-grid solar deployment.
+- **Yemen** and **Ethiopia**: imports vs off-grid deployment.
+- **Sudan**: comparison between on-grid and off-grid deployment only.
+
+For each country, we produced visual plots comparing trends and calculated
+**Pearson correlation coefficients** to quantify relationships between
+variables.
+
+---
+
+## 📈 Confidence in Results
+
+We have **moderate confidence** in the visual and statistical patterns
+observed, especially for countries like Ukraine where data coverage is
+relatively complete. The use of Pearson correlation adds robustness to the
+findings by quantitatively evaluating trend alignment.
+
+However, confidence is lower in countries with:
+
+- Missing or sparse data (e.g., Yemen)
+- Ambiguous reporting structures
+- Untracked deployment (e.g., informal solar usage)
+
+---
+
+## ⚠️ Limitations
+
+1. **Imports do not equal usage**: Imported equipment may be unused,
+ stockpiled, or exported again.
+2. **No modeling of time lags**: Equipment imports may precede deployment
+ by 1–2 years — our analysis compares only same-year values.
+3. **Normalization hides magnitudes**: Min-Max scaling distorts actual
+ values, masking real-world scale differences.
+4. **Conflict data not integrated yet**: Despite the conflict-focused
+ research question, the current analysis does not yet incorporate
+ conflict timelines, severity, or displacement data.
+5. **Pearson correlation only captures linear relationships**: Nonlinear or
+ lagged relationships remain unexplored.
+
+---
+
+## 🔬 Future Research Directions
+
+1. **Integrate conflict data**: Include metrics like conflict severity,
+ number of incidents, or displacement figures to test impact on energy
+ access.
+2. **Use lagged correlation/regression**: Investigate whether imports in
+ one year influence solar deployment in subsequent years.
+3. **Model non-linear relationships**: Use more advanced machine learning
+ models (e.g., Random Forest, XGBoost) for richer pattern detection.
+4. **Compare informal vs formal solar usage**: Especially relevant in
+ off-grid contexts like Yemen and Ethiopia.
+5. **Spatial analysis**: Match solar deployment to sub-national conflict
+ zones to study localized effects.
+
+---
+
+## 🛠️ Techniques & Libraries Used
+
+### Analysis Techniques
+
+- Data cleaning and filtering by energy type
+- Grouping and aggregation using `.groupby()`
+- Normalization using Min-Max scaling
+- Merging datasets by year and country
+- Pearson correlation analysis for linear trend alignment
+- Time-series line and scatter plots
diff --git a/4_data_analysis/data_comparison_analysis/tech_explanation.md b/4_data_analysis/data_comparison_analysis/tech_explanation.md
new file mode 100644
index 000000000..903b47996
--- /dev/null
+++ b/4_data_analysis/data_comparison_analysis/tech_explanation.md
@@ -0,0 +1,116 @@
+# 🧪 Technical Description of Analysis and Results (Updated with Pearson Correlation)
+
+## 1. Objective
+
+This analysis examined whether trends in solar equipment imports align
+with trends in solar electricity deployment across four conflict-affected
+countries: **Sudan**, **Ukraine**, **Yemen**, and **Ethiopia**. It aimed to
+assess how consistently the different data sources reflect real-world solar
+adoption patterns, especially in fragile or disrupted energy systems.
+
+---
+
+## 2. Techniques Used
+
+### a. Data Aggregation
+
+The analysis aggregated raw data by `Country` and `Year` using
+`.groupby()` and `.sum()` for the key columns: `Imports_USD`, `OnGrid_MW`,
+and `OffGrid_MW`. This approach simplified the timeline and made it easier
+to compare values across countries and datasets.
+
+### b. Filtering & Cleaning
+
+Non-solar entries were removed, such as those related to hydro and fossil
+fuels. The focus was placed on technologies labeled **"Solar PV (Others)"**
+and **"Solar photovoltaic"**. This ensured the analysis stayed focused on
+solar electricity and maintained consistency across datasets.
+
+### c. Normalization
+
+Min-Max normalization was used to scale values like import dollars and
+deployment megawatts between 0 and 1. This allowed for fair visual
+comparisons across variables with different units.
+
+### d. Dataset Merging
+
+The datasets were merged using `pd.merge()` on the `Year` column (and
+`Country` when needed). This enabled direct year-by-year comparison of
+import and deployment data from different sources.
+
+### e. Pearson Correlation Analysis
+
+After merging and normalizing the datasets, **Pearson correlation
+coefficients** were calculated between the compared variables (e.g., imports
+vs on-grid MW, imports vs off-grid MW). This provided a quantitative measure
+of the linear relationship between trends, supplementing the visual
+inspection.
+
+### f. Visualization
+
+Line plots were created to compare:
+
+- Imports vs on-grid solar in **Ukraine**
+- Imports vs off-grid solar in **Yemen**
+- Imports vs off-grid solar in **Ethiopia**
+- On-grid vs off-grid solar in **Sudan**
+
+These visualizations helped identify patterns, potential lags, or
+misalignments in deployment and import activity.
+
+---
+
+## 3. Country-Specific Results
+
+In **Sudan**, the analysis compared on-grid and off-grid solar deployment.
+Off-grid systems appeared to grow more independently from the grid,
+suggesting the importance of decentralized solar in fragile contexts.
+
+In **Ukraine**, imports and on-grid solar deployment showed some
+alignment, though the Pearson correlation didn't show strong correlation
+(0.343), that properly comes from the fact that the On-Grid data set has
+some duplicated values, and other possible causes.
+
+In **Ethiopia**, the correlation between imports and off-grid deployment was
+strong (0.9), but the time range was only between 2013 and 2023.
+
+In **Yemen**, same case as Ethiopia, with the available data being even more limited.
+
+---
+
+## 4. Possible Flaws in the Analysis
+
+- Import value does not directly equate to installed capacity. Equipment may
+be imported but not deployed immediately — or at all. Also, time lags
+between import and deployment were not modeled, which could hide real
+relationships.
+- Several countries lacked full annual coverage across all datasets, limiting
+the depth of trend analysis.
+- Min-Max normalization can obscure the actual
+scale of deployment and imports, making it hard to interpret magnitude
+differences.
+- While Pearson correlation was applied, it captures only linear
+relationships. Nonlinear patterns or delayed effects would not be detected
+using this method. Additionally, conflict data was not integrated, which is
+a core component of the broader research question.
+
+---
+
+## 5. Alternative Approaches
+
+- Lagged correlation or
+regression could reveal whether imports in one year predict deployment in
+the next.
+- Adding conflict data — such as number of conflict events or fatalities —
+would allow for direct correlation with deployment or import behavior.
+- Nonlinear modeling techniques or time-series methods could also be used in
+more advanced analysis stages.
+
+---
+
+## 6. Libraries Used
+
+- `pandas`: for data manipulation, aggregation, filtering, merging
+- `matplotlib.pyplot`: for line and scatter plots
+- `seaborn` *(optional)*: useful for enhanced plotting or correlation
+ heatmaps
diff --git a/4_data_analysis/duration_analysis/conflict_duration_analysis.ipynb b/4_data_analysis/duration_analysis/conflict_duration_analysis.ipynb
new file mode 100644
index 000000000..1f6046657
--- /dev/null
+++ b/4_data_analysis/duration_analysis/conflict_duration_analysis.ipynb
@@ -0,0 +1,995 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "97230301",
+ "metadata": {},
+ "source": [
+ "# The Effect of Conflict duration on Solar Energy Adoption:\n",
+ " ## **_Analysis of Trade Data_**\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3e210a87",
+ "metadata": {},
+ "source": [
+ "### Objective of the Analysis\n",
+ "\n",
+ "**The objective of this analysis is to explore the impact of prolonged conflict duration on solar adoption across countries, while also considering their economic status. By grouping countries into categories based on the length of conflict (Continuous, Periodical, or No Conflict) and analyzing their GDP classification, we aim to identify patterns or disparities in the level of solar energy adoption. This can help reveal whether persistent instability hinders renewable energy efforts.**\n",
+ "\n",
+ "### 🔑 Key Questions\n",
+ "\n",
+ "\n",
+ "1. How is solar energy adoption expected to vary between countries with continuous conflict, periodical conflict, and no conflict?\n",
+ "\n",
+ "2. What role does economic strength (GDP) play in enabling or limiting solar imports during times of conflict?\n",
+ "\n",
+ "3. Are there identifiable trends in solar import volumes over time that distinguish periodical conflict countries from those with ongoing conflicts?\n",
+ "\n",
+ "4. Which solar products (e.g., PV modules vs. other types) are likely to dominate imports in conflict-affected areas compared to stable countries?\n",
+ "\n",
+ "5. How might the interaction between conflict duration, economic capacity, and political conditions influence the success of solar energy adoption initiatives?\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 39,
+ "id": "aebd47ad",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# import necessary libraries\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "b76669c0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Year
\n",
+ "
Country_Code
\n",
+ "
Country
\n",
+ "
Product_Code
\n",
+ "
Product_Description
\n",
+ "
Net_Weight_kg
\n",
+ "
Value_USD
\n",
+ "
Conflict_Year
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
2019
\n",
+ "
AFG
\n",
+ "
Afghanistan
\n",
+ "
854140
\n",
+ "
Electrical apparatus; photosensitive, includin...
\n",
+ "
7.700172e+07
\n",
+ "
89932863.97
\n",
+ "
True
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
2007
\n",
+ "
CAF
\n",
+ "
Central African Rep.
\n",
+ "
854140
\n",
+ "
Electrical apparatus; photosensitive, includin...
\n",
+ "
1.796000e+03
\n",
+ "
26489.00
\n",
+ "
False
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
2008
\n",
+ "
CAF
\n",
+ "
Central African Rep.
\n",
+ "
854140
\n",
+ "
Electrical apparatus; photosensitive, includin...
\n",
+ "
1.654000e+03
\n",
+ "
61941.00
\n",
+ "
False
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
2009
\n",
+ "
CAF
\n",
+ "
Central African Rep.
\n",
+ "
854140
\n",
+ "
Electrical apparatus; photosensitive, includin...
\n",
+ "
7.822000e+03
\n",
+ "
269897.00
\n",
+ "
False
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
2010
\n",
+ "
CAF
\n",
+ "
Central African Rep.
\n",
+ "
854140
\n",
+ "
Electrical apparatus; photosensitive, includin...
\n",
+ "
1.234600e+04
\n",
+ "
173026.00
\n",
+ "
False
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Year Country_Code Country Product_Code \\\n",
+ "0 2019 AFG Afghanistan 854140 \n",
+ "1 2007 CAF Central African Rep. 854140 \n",
+ "2 2008 CAF Central African Rep. 854140 \n",
+ "3 2009 CAF Central African Rep. 854140 \n",
+ "4 2010 CAF Central African Rep. 854140 \n",
+ "\n",
+ " Product_Description Net_Weight_kg \\\n",
+ "0 Electrical apparatus; photosensitive, includin... 7.700172e+07 \n",
+ "1 Electrical apparatus; photosensitive, includin... 1.796000e+03 \n",
+ "2 Electrical apparatus; photosensitive, includin... 1.654000e+03 \n",
+ "3 Electrical apparatus; photosensitive, includin... 7.822000e+03 \n",
+ "4 Electrical apparatus; photosensitive, includin... 1.234600e+04 \n",
+ "\n",
+ " Value_USD Conflict_Year \n",
+ "0 89932863.97 True \n",
+ "1 26489.00 False \n",
+ "2 61941.00 False \n",
+ "3 269897.00 False \n",
+ "4 173026.00 False "
+ ]
+ },
+ "execution_count": 40,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Load the dataset\n",
+ "# read dataframe from GitHup\n",
+ "url = \"https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/raw/refs/heads/main/1_datasets/cleaned_data/UN_comtrade_clean_dataset.xlsx\"\n",
+ "df = pd.read_excel(url, engine=\"openpyxl\")\n",
+ "df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f6bbe24a",
+ "metadata": {},
+ "source": [
+ "## Conflict Duration Grouping\n",
+ "\n",
+ "Countries are categorized based on real-world conflict patterns into three groups:\n",
+ "\n",
+ "- Continuous Conflict: Countries experiencing prolonged and ongoing conflict (e.g., Afghanistan, Libya, Mali, Sudan, Yemen).\n",
+ "- Periodical Conflict: Countries facing intermittent conflict across years (e.g., Iraq, Ukraine, Nigeria).\n",
+ "- No Conflict: Countries with political stability and no major recent conflicts (e.g., Germany, Morocco, Saudi Arabia).\n",
+ "\n",
+ "This classification supports the analysis of how the duration of conflict may influence solar adoption trends.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "cadee4b9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Time Trends by Conflict Group (Periodical VS Continuous) ---\n",
+ "plt.figure(figsize=(14, 7))\n",
+ "for group in [\"Periodical Conflict\", \"Continuous Conflict\"]:\n",
+ " group_data = df[df[\"Conflict_Group\"] == group]\n",
+ " trend = group_data.groupby(\"Year\")[\"Value_USD\"].sum()\n",
+ " plt.plot(trend.index, trend, label=group)\n",
+ "\n",
+ "plt.title(\"Solar Product Imports Over Time by Conflict Group\")\n",
+ "plt.ylabel(\"Total Import Value (USD)\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.legend()\n",
+ "plt.grid(True)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e10a33aa",
+ "metadata": {},
+ "source": [
+ "### Analysis 2: GDP vs Solar Adoption\n",
+ "\n",
+ "- Relationship between economic development and solar adoption\n",
+ "\n",
+ "- Differences in this relationship between conflict groups"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "id": "c19e93de",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\زينب\\AppData\\Local\\Temp\\ipykernel_26016\\739922633.py:3: FutureWarning: \n",
+ "\n",
+ "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n",
+ "\n",
+ " sns.barplot(\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Solar Adoption by Conflict Group and GDP Status ---\n",
+ "plt.figure(figsize=(14, 7))\n",
+ "sns.barplot(\n",
+ " data=df,\n",
+ " x=\"Conflict_Group\",\n",
+ " y=\"Value_USD\",\n",
+ " hue=\"GDP_Status\",\n",
+ " estimator=sum,\n",
+ " ci=None,\n",
+ " order=[\"No Conflict\", \"Periodical Conflict\", \"Continuous Conflict\"],\n",
+ ")\n",
+ "plt.title(\"Total Solar Imports by Conflict Group and GDP Status\")\n",
+ "plt.ylabel(\"Total Import Value (USD)\")\n",
+ "plt.xlabel(\"Conflict Group\")\n",
+ "plt.yscale(\"log\") # Use log scale for better visualization of large differences\n",
+ "plt.legend(title=\"GDP Status\")\n",
+ "plt.grid(True, which=\"both\", linestyle=\"--\", linewidth=0.5)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "8f46b2bb",
+ "metadata": {},
+ "source": [
+ "## Analysis 3: Product Mix by Conflict Group\n",
+ "\n",
+ "- Differences in product preferences between conflict and non-conflict settings\n",
+ "\n",
+ "- Identification of which products are most important in conflict zones"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 46,
+ "id": "5c64da04",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Product Mix Across Conflict Groups ---\n",
+ "product_mix = (\n",
+ " df.groupby([\"Conflict_Group\", \"Product_Category\"])[\"Value_USD\"].sum().unstack()\n",
+ ")\n",
+ "\n",
+ "# Normalize to show percentages\n",
+ "product_mix_percent = product_mix.div(product_mix.sum(axis=1), axis=0) * 100\n",
+ "\n",
+ "ax = product_mix_percent.plot(kind=\"bar\", stacked=True, figsize=(12, 6))\n",
+ "plt.title(\"Solar Product Mix by Conflict Group (%)\")\n",
+ "plt.ylabel(\"Percentage of Total Imports\")\n",
+ "plt.xlabel(\"Conflict Group\")\n",
+ "plt.xticks(rotation=0)\n",
+ "plt.legend(title=\"Product Category\", bbox_to_anchor=(1.05, 1))\n",
+ "plt.tight_layout()\n",
+ "\n",
+ "# Add percentages to all segments of the stacked bars using ax.text\n",
+ "for container in ax.containers:\n",
+ " for patch in container.patches:\n",
+ " width, height = patch.get_width(), patch.get_height()\n",
+ " x, y = patch.get_xy()\n",
+ " if height > 0:\n",
+ " ax.text(\n",
+ " x + width / 2.0,\n",
+ " y + height / 2.0,\n",
+ " f\"{height:.1f}%\",\n",
+ " ha=\"center\",\n",
+ " va=\"center\",\n",
+ " color=\"white\", # Set text color for better visibility\n",
+ " fontsize=8,\n",
+ " ) # Adjust fontsize as needed\n",
+ "\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "248138dc",
+ "metadata": {},
+ "source": [
+ "## Analysis 4: Statistical Comparison\n",
+ "\n",
+ "- differences between conflict groups\n",
+ "\n",
+ "- Identification of statistically significant patterns"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "c8d524aa",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Statistical Comparison by Conflict Group and GDP Status:\n",
+ " Value_USD \\\n",
+ " mean median sum \n",
+ "Conflict_Group GDP_Status \n",
+ "Continuous Conflict Low GDP 4.304237e+06 1.383758e+06 1.179361e+09 \n",
+ " Medium GDP 6.145910e+06 2.989207e+06 1.843773e+08 \n",
+ "No Conflict High GDP 1.632752e+09 1.285895e+08 3.134884e+11 \n",
+ " Low GDP 2.273031e+06 6.573871e+05 1.727504e+08 \n",
+ " Medium GDP 2.523981e+07 6.570057e+06 2.246343e+09 \n",
+ "Periodical Conflict Low GDP 6.936723e+06 1.893903e+06 2.400106e+09 \n",
+ " Medium GDP 8.398748e+07 2.161070e+07 2.511226e+10 \n",
+ "\n",
+ " Net_Weight_kg \n",
+ " mean \n",
+ "Conflict_Group GDP_Status \n",
+ "Continuous Conflict Low GDP 1.848440e+06 \n",
+ " Medium GDP 7.112552e+05 \n",
+ "No Conflict High GDP 6.958514e+07 \n",
+ " Low GDP 2.839489e+05 \n",
+ " Medium GDP 3.030245e+06 \n",
+ "Periodical Conflict Low GDP 6.842107e+06 \n",
+ " Medium GDP 6.701808e+07 \n"
+ ]
+ }
+ ],
+ "source": [
+ "# Statistical Summary\n",
+ "conflict_stats = df.groupby([\"Conflict_Group\", \"GDP_Status\"]).agg(\n",
+ " {\"Value_USD\": [\"mean\", \"median\", \"sum\"], \"Net_Weight_kg\": \"mean\"}\n",
+ ")\n",
+ "\n",
+ "print(\"\\nStatistical Comparison by Conflict Group and GDP Status:\")\n",
+ "print(conflict_stats)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "648f5144",
+ "metadata": {},
+ "source": [
+ "**Histogram of Import Values (USD) by Conflict Group**\n",
+ "\n",
+ "This code plots histograms of solar import values (in USD) for three groups of countries based on their conflict status: No Conflict, Periodical Conflict, and Continuous Conflict. By using a logarithmic scale on the y-axis, it highlights the frequency distribution of import values across these groups, allowing comparison of how import volumes vary with conflict intensity."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 48,
+ "id": "9d658e09",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+wAAAJuCAYAAAAq1ojvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACnl0lEQVR4nOzdeVzUBf7H8ffIKSAoCt6KoSigiAq6aqVlbZm1abXZnaVd0nZov7ba2spONc22sNqttHvbLretNrfszlK8MzzJG1QUFRFFjvn94TIbgqKEfr7j9/V8PHz8lplh+DC8mF8fZuY7Hq/X6xUAAAAAAHCUBtYDAAAAAACA6ljYAQAAAABwIBZ2AAAAAAAciIUdAAAAAAAHYmEHAAAAAMCBWNgBAAAAAHAgFnYAAAAAAByIhR0AAAAAAAdiYQcAAAAAwIFY2AGc8KZPny6Px6N58+bVeP65556ruLi4KqfFxcVpxIgRR/V1Zs+erQceeEA7d+6s26Au9NZbbyk5OVkNGzaUx+PRokWLarzcl19+KY/Ho3feeef4DliPPv74Yz3wwAO1Xq60tFTNmzfXb37zm0NepqKiQu3atVNKSsoRf/3K2/DLL7884s853kpLS9WlSxc9/vjjvtMeeOABeTwebdu2rcbP6dq1qwYOHFjltA0bNmj06NFKSEhQw4YNFR0drW7duum6667Thg0bql135b+wsDC1adNGZ511lp5++mnt3r272te78sorNXTo0CP+njwej26++eYjvvyvsWXLFt11113q1q2bIiIiFBoaqk6dOunWW2/VqlWrjunXLigo0CWXXKLY2Fh5PB7fbeTxeKp0X9cO63r/+u233+rSSy9Vu3btFBISovDwcCUnJ2vs2LFavnz5UV0XAFgItB4AAJzo/fffV2Rk5FF9zuzZs/Xggw9qxIgRaty48bEZ7ASSn5+vK6+8UmeffbamTp2qkJAQJSQkWI91zHz88cfKzMysdWkPCgrSlVdeqUmTJik7O1tJSUnVLvPZZ59pw4YNGjt27DGa1sbUqVO1Y8cO/eEPf6jzdWzcuFE9e/ZU48aNNXbsWHXu3Fm7du1Sdna2/vGPf+jnn39W27Ztq3zOJ598oqioKO3fv1+5ubmaNWuW7rzzTk2cOFH/+te/1L17d99lH3jgAXXp0kWff/65Tj/99DrPWd/mzp2rc889V16vVzfffLP69u2r4OBgrVixQq+99pp69+6tHTt2HLOv/9BDD+n999/XSy+9pPj4eEVHR9d4uZ49e+r777+vsevDqcv967333qtHHnlEffv21b333qtOnTqprKxMS5Ys0csvv6zJkyerrKxMAQEBRzULABxPLOwAUIMePXpYj3DUSktL5fF4FBjoH3ftK1euVGlpqa644goNGDDAepxjpri4WGFhYUf1OSNHjtSkSZP00ksv6Yknnqh2/ksvvaTg4GBdccUV9TWmubKyMk2cOFHXXnutwsPD63w9f/vb37Rt2zbNnTtXHTp08J0+dOhQ3XPPPaqoqKj2Ob169VKzZs18H19yySW6+eabNWDAAP3ud7/TypUrFRISIkmKj4/X2Wefrccff9wxC3thYaHOP/98hYaGavbs2WrTpo3vvIEDB+qGG2445s9OWbp0qeLj43X55Zcf9nKRkZGHffZIfXnzzTf1yCOP6MYbb9TUqVPl8Xh855155pkaM2aMpk6dWuv11OX3FwDqE0+JB4AaHPyU+IqKCj388MPq3LmzGjZsqMaNGyslJUVPPfWUpAOPuv3f//2fJKlDhw6+p9hWPu2zoqJCEyZMUJcuXRQSEqLY2FhdddVV2rhxY5Wv6/V69eijj6p9+/YKDQ1VWlqaPv30Uw0cOLDK034rn1b66quvauzYsWrdurVCQkK0evVq5efna/To0UpKSlJERIRiY2N1+umn65tvvqnytdauXSuPx6OJEydq/PjxiouLU8OGDTVw4EDfMn3XXXepVatWioqK0rBhw7R169Yjuv0++OAD9e3bV2FhYWrUqJHOPPNMff/9977zR4wYoZNPPlmSNHz4cHk8nmpPa65N5dOZlyxZot///veKiopSdHS0xowZo7KyMq1YsUJnn322GjVqpLi4OE2YMKHK51fehq+99prGjBmjFi1aqGHDhhowYIAWLlx41N/TL2dasGCBLrroIjVp0kTx8fEaMWKEMjMzJanKU7DXrl1b4/eWmJiovn376tVXX1VZWVmV83bu3Kl//vOfOv/889W0aVPNmzdPl1xyie/nFxcXp0svvVTr1q2r9TY8uKtKI0aMqPYykf379+vhhx/2NRwTE6NrrrlG+fn5VS73+eefa+DAgWratKkaNmyodu3a6cILL1RxcfFhZ/nggw+0adMmXXnllbXOfTjbt29XgwYNFBsbW+P5DRoc2X/6dO/eXX/605+0fv16vfXWW1XOu/LKK/XZZ58pJyfniOd6/vnnlZCQoJCQECUlJenvf/+777y1a9cqMDBQjz32WLXP+/rrr+XxePT2228f8rr/9re/afPmzZowYUKVZf2XLrrooiofH03PP/30ky699FJFRUWpefPmuvbaa7Vr1y7f7B6PR5999pmWLVtW7b7vYId6SvycOXN03nnnqWnTpgoNDVV8fLxuu+023xyHu3+tycMPP6xmzZrpySefrLKsV/J4PMrIyKjy6PrAgQPVtWtXff311+rXr5/CwsJ07bXXSpLWr1+vK664QrGxsQoJCVFiYqImTZpU5Q9Ah/reKm+j6dOn+04bMWKEIiIi9NNPP2nQoEEKDw9XTEyMbr755lp/VwC4Cws7ANcoLy9XWVlZtX9er7fWz50wYYIeeOABXXrppfroo4/01ltvaeTIkb7XU44aNcr3NN733ntP33//vb7//nv17NlTknTTTTfpj3/8o84880x98MEHeuihh/TJJ5+oX79+VV6b+6c//Ul/+tOfdPbZZ+uf//ynbrzxRo0aNUorV66sca67775b69ev13PPPad//etfio2NVUFBgSTp/vvv10cffaRp06bppJNO0sCBA2v8D9zMzEx99913yszM1AsvvKDly5frvPPO08iRI5Wfn6+XXnpJEyZM0GeffaZRo0bVelu98cYbOv/88xUZGak333xTL774onbs2KGBAwfq22+/lSTdd999vgX20Ucf1ffff39Ej3bV5OKLL1b37t317rvv6rrrrtOTTz6p22+/XUOHDtWQIUP0/vvv6/TTT9cf//hHvffee9U+/5577tHPP/+sF154QS+88IJyc3M1cOBA/fzzz0f1Pf3SBRdcoI4dO+rtt9/Wc889p/vuu8+3MFW28f3336tly5aH/L5GjhyprVu36qOPPqpy+htvvKF9+/Zp5MiRkg4sA507d9aUKVM0c+ZMjR8/Xnl5eUpPTz/k676PVkVFhc4//3w9/vjjuuyyy/TRRx/p8ccf9/0xae/evb5ZhgwZouDgYL300kv65JNP9Pjjjys8PFz79+8/7Nf46KOPFBsbe9RPlT5Y3759VVFRoQsuuEAzZ85UYWFhna/rd7/7naQDS/MvDRw4UF6vVx9//PERXc8HH3ygv/zlLxo3bpzeeecdtW/fXpdeeqnvUe+4uDj97ne/03PPPafy8vIqn/vMM8+oVatWGjZs2CGv/z//+Y8CAgJ03nnnHdE8R9vzhRdeqISEBL377ru666679MYbb+j222+XJLVs2VLff/+9evTooZNOOqnafd+RmDlzpk455RStX79ekydP1r///W/de++92rJli6Ta718Plpubq+zsbJ155pkKDQ094jkkKS8vT1dccYUuu+wyffzxxxo9erTy8/PVr18//ec//9FDDz2kDz74QGeccYbuuOOOX3V8gtLSUp1zzjkaNGiQZsyYoZtvvlnPP/+8hg8fXufrBHAC8gLACW7atGleSYf91759+yqf0759e+/VV1/t+/jcc8/1pqamHvbrTJw40SvJu2bNmiqnL1u2zCvJO3r06Cqnz5kzxyvJe88993i9Xq+3oKDAGxIS4h0+fHiVy33//fdeSd4BAwb4Tvviiy+8krynnnpqrd9/WVmZt7S01Dto0CDvsGHDfKevWbPGK8nbvXt3b3l5ue/0KVOmeCV5f/e731W5nttuu80rybtr165Dfq3y8nJvq1atvN26datynbt37/bGxsZ6+/XrV+17ePvtt2v9Hmq67P333++V5J00aVKVy6ampnoled977z3faaWlpd6YmBjvBRdcUO06e/bs6a2oqPCdvnbtWm9QUJB31KhRR/09Vc705z//udr3kJGR4T2a/7e7e/dub0RERLWfQ69evbxt27atMssvlZWVeYuKirzh4eHep556qtr3+8UXX/hOGzBgQJWuKl199dVVfifefPNNryTvu+++W+VyWVlZXkneqVOner1er/edd97xSvIuWrToiL/PSomJid6zzz672umVt2l+fn6Nn5ecnFzle6ioqPDecMMN3gYNGngleT0ejzcxMdF7++23V/vdrO269+7d65XkHTx4cLXzWrduXe13tSaSvA0bNvRu3rzZd1pZWZm3S5cu3o4dO/pOq/z5vP/++77TNm3a5A0MDPQ++OCDh/0aXbp08bZo0aLWWbzeuvU8YcKEKtcxevRob2hoaJXfmwEDBniTk5OrfT1J3vvvv7/a9/nLDuPj473x8fHevXv3HnLuQ92/1uSHH37wSvLedddd1c6rvD+s/Hfw9yDJO2vWrCqfc9ddd3kleefMmVPl9Jtuusnr8Xi8K1asOOT35vX+77522rRpvtOuvvpqr6Qqv6Ner9f7yCOPeCV5v/3221q/TwDuwCPsAFzjlVdeUVZWVrV/lU/NPpzevXtr8eLFGj169FE/avfFF19IUrWjzvfu3VuJiYmaNWuWJOmHH35QSUmJLr744iqX+81vflPt6cmVLrzwwhpPf+6559SzZ0+FhoYqMDBQQUFBmjVrlpYtW1btsuecc06VpwknJiZKkoYMGVLlcpWnr1+//hDfqbRixQrl5ubqyiuvrHKdERERuvDCC/XDDz/U+9M9zz333GpzejweDR482HdaYGCgOnbsWOPTxC+77LIqT5lt3769+vXr5/u51eV7OtTP5WhERETo4osv1scff+x7pHHp0qWaP3++RowY4ZulqKhIf/zjH9WxY0cFBgYqMDBQERER2rNnT40/77r48MMP1bhxY5133nlVnp2SmpqqFi1a+J65kZqaquDgYF1//fV6+eWXqzxLoTa5ubmHfBr70fB4PHruuef0888/a+rUqbrmmmtUWlqqJ598UsnJyfrqq6+O+Lq8h3n2TWxsrDZt2nRE1zNo0CA1b97c93FAQICGDx+u1atX+14WM3DgQHXv3t33zBPpwO+xx+PR9ddff8Qz16YuPVc+06BSSkqK9u3bd8QvkTmclStXKicnRyNHjjzqR8PromnTpgoKCvL9e/fdd6uc36RJk2rHJvj888+VlJSk3r17Vzl9xIgR8nq9+vzzz+s8z8Gv+b/ssssk/e//bwAACzsA10hMTFRaWlq1f1FRUbV+7t13360nnnhCP/zwgwYPHqymTZtq0KBBh3yruF/avn27JNX49OdWrVr5zq/8v7/8D/tKNZ12qOucPHmybrrpJvXp00fvvvuufvjhB2VlZenss8/2PXX5lw4+mnNwcPBhT9+3b1+Ns/zyezjU91pRUVHvR6quac6wsLBq//EfHBxc4+wtWrSo8bSDfy5H8z0d7qnuR2PkyJEqKyvTq6++KunAweY8Ho+uueYa32Uuu+wyPfPMMxo1apRmzpypuXPnKisrSzExMTX+vOtiy5Yt2rlzp4KDg6ssO0FBQdq8ebPvqffx8fH67LPPFBsbq4yMDMXHxys+Pt53rIfD2bt3b40LW+VBFA9+qnilsrIyBQUFVTu9ffv2uummm/Tiiy9q1apVeuutt7Rv3z7fa6GPROUfeFq1alXtvNDQ0CO+fQ/VmPS/viTplltu0axZs7RixQqVlpbqb3/7my666KIaP/+X2rVrp/z8fO3Zs6fWWerSc9OmTat8XHkAvvroq/IYCId67X1dVL4LQE1/oPvyyy+VlZWl5557rsbPrel22b59+yFvr8rz6yIwMLDabVtTFwDcjYUdAI5AYGCgxowZowULFqigoEBvvvmmNmzYoLPOOqvWR4wr/4MsLy+v2nm5ubm+o1NXXq7y0dRf2rx5c43XXdPBlF577TUNHDhQzz77rIYMGaI+ffooLS2txveUrm+1fa8NGjRQkyZNjvkcR6Om23bz5s2+76Uu31NNP5e66NevnxITEzVt2jSVlpbqtdde0+mnn+47+vmuXbv04Ycf6s4779Rdd92lQYMGKT09Xd26dfMdy+BwQkNDVVJSUu30g1/73qxZMzVt2rTGZ6hkZWVVOf7AKaecon/961/atWuXfvjhB/Xt21e33XZblYOs1aRZs2Y1zlz5x6qaHs32er3Ky8s75B+0funiiy9WSkqKli5dWutlK33wwQeSVOOB+QoKCqocWf5wDtWYVHUZvuyyy9S0aVNlZmbq7bff1ubNm5WRkVHr9Z911lkqLy/Xv/71r1ov67Tf0ZiYGEmqdgDOX6NVq1ZKTk7Wp59+Wu2PdKmpqUpLS1Pnzp1r/NyafnebNm16yNtLkq+Dyj84Hfw7dahjSZSVlVVbzGvqAoC7sbADwFFq3LixLrroImVkZKigoMB3pO9DPepU+fTK1157rcrpWVlZWrZsmQYNGiRJ6tOnj0JCQqodkfqHH344oiN+V/J4PL5ZKi1ZsqTaEaCPhc6dO6t169Z64403qjydeM+ePXr33Xd9R6V2kjfffLPKrOvWrdPs2bN9S1p9fU91fVTy2muvVXZ2tu69917l5+f7jlotHfhZe73eaj/vF1544ZCPSP9SXFycVq5cWWXB2L59u2bPnl3lcueee662b9+u8vLyGp+lUtPyExAQoD59+vie4r1gwYLDztKlS5caj7p++umny+PxVPu9kA68f3phYaHOOOMM32k1LVbSgZcObNiwocZHy2uyePFiPfroo4qLi6v2MpWysjJt2LDhiA+QN2vWrCp/iCsvL9dbb72l+Pj4Ko8sh4aG+l5OMHnyZKWmpqp///61Xv/IkSPVokUL3XnnnYd8mn7lARed9juakJCg+Ph4vfTSSzX+8ajS0f7+/OlPf9K2bds0ZsyYIzqw6OEMGjRI2dnZ1Rp+5ZVX5PF4dNppp0mS76VLS5YsqXK5yj/81OT111+v8vEbb7whqeY/EgFwJ/94s14AMHbeeeepa9euSktLU0xMjNatW6cpU6aoffv26tSpkySpW7dukqSnnnpKV199tYKCgtS5c2d17txZ119/vZ5++mk1aNBAgwcP1tq1a3Xfffepbdu2vqMtV74l2WOPPaYmTZpo2LBh2rhxox588EG1bNnyiN+O6txzz9VDDz2k+++/XwMGDNCKFSs0btw4dejQodpbhNW3Bg0aaMKECbr88st17rnn6oYbblBJSYkmTpyonTt36vHHHz+mX78utm7dqmHDhum6667Trl27dP/99ys0NFR33323pPr7nir7GD9+vAYPHqyAgAClpKT4XmpwKFdddZXuueceTZw4UY0bN9YFF1zgOy8yMlKnnnqqJk6cqGbNmikuLk5fffWVXnzxRTVu3LjWma688ko9//zzuuKKK3Tddddp+/btmjBhgiIjI6tc7pJLLtHrr7+uc845R7feeqt69+6toKAgbdy4UV988YXOP/98DRs2TM8995w+//xzDRkyRO3atdO+ffv00ksvSVKVpbomAwcO1Lhx46q973V8fLxuvvlm3+19zjnnqGHDhsrKytLjjz+utLQ03+t+JemRRx7Rd999p+HDhys1NVUNGzbUmjVr9Mwzz2j79u2aOHFita89f/58RUVFqbS0VLm5uZo1a5ZeffVVxcbG6l//+le1n9GSJUtUXFzsW9Rq06xZM51++um67777FB4erqlTp2r58uU1Putg9OjRmjBhgubPn68XXnjhiK4/KipK//znP3XuueeqR48euvnmm9W3b18FBwdr1apVeu2117R48WJdcMEFjvwdzczM1Hnnnaff/OY3uv3229WuXTutX79eM2fO9C20h7p/bdSoUY3Xeemll+qnn37SI488osWLF2vEiBHq1KmTKioqtGHDBt/LTA71+b90++2365VXXtGQIUM0btw4tW/fXh999JGmTp2qm266SQkJCZIOPJ39jDPO8N2Ht2/fXrNmzarx3SmkAy/TmTRpkoqKipSenq7Zs2fr4Ycf1uDBg4/o2CoAXMLscHcAcJxUHiU+KyurxvOHDBlS61HiJ02a5O3Xr5+3WbNm3uDgYG+7du28I0eO9K5du7bK5919993eVq1a+Y5QXXm04PLycu/48eO9CQkJ3qCgIG+zZs28V1xxhXfDhg1VPr+iosL78MMPe9u0aeMNDg72pqSkeD/88ENv9+7dqxzh/XBHWC8pKfHecccd3tatW3tDQ0O9PXv29M6YMaPakb8rj1w8ceLEKp9/qOuu7Xb8pRkzZnj79OnjDQ0N9YaHh3sHDRrk/e67747o69TkcEeJP/gI31dffbU3PDy82nUcfBTryut89dVXvbfccos3JibGGxIS4j3llFO88+bNq9P3dLijjpeUlHhHjRrljYmJ8Xo8niM+4rXX6/UOGzasxnca8Hq93o0bN3ovvPBCb5MmTbyNGjXynn322d6lS5dWa/hQR7B++eWXvYmJid7Q0FBvUlKS96233qrWitd74Ej7TzzxhLd79+7e0NBQb0REhLdLly7eG264wbtq1Sqv13vgHQ2GDRvmbd++vTckJMTbtGlT74ABA7wffPBBrd/j6tWrvR6Px/uPf/yj2nkVFRXeZ5991puWluYNCwvzBgcHezt16uT94x//6N29e3eVy/7www/ejIwMb/fu3b3R0dHegIAAb0xMjPfss8/2fvzxx1UuW/nzqvwXEhLibdmypfe3v/2t96mnnvIWFhbWOOt9993nbdasmXffvn21fl+SvBkZGd6pU6d64+PjvUFBQd4uXbp4X3/99UN+zsCBA73R0dHe4uLiWq//lzZv3uz94x//6E1OTvaGhYV5Q0JCvB07dvTecMMN3h9//LHKZX9Nz5X3Bb/s99ccJd7rPdDO4MGDvVFRUd6QkBBvfHy89/bbb69ymUPdvx7O119/7R0+fLi3TZs23qCgIG9YWJg3KSnJe9NNN1X7PT/U9+D1er3r1q3zXnbZZd6mTZt6g4KCvJ07d/ZOnDix2rs15OXleS+66CJvdHS0NyoqynvFFVd4582bV+NR4sPDw71LlizxDhw40NuwYUNvdHS096abbvIWFRXV+n0BcA+P1/srnycEADim1qxZoy5duuj+++/XPffcYz3OCePLL7/Uaaedprffftv3HumwVXkU+n//+9/WoxxSeXm5OnbsqMsuu0yPPPJIvV//1q1b1b59e/3hD3/QhAkT6v364QwjRozQO++8o6KiIutRADgcT4kHAAdZvHix3nzzTfXr10+RkZFasWKF7ynKI0eOtB4POKYee+wx9ejRQ1lZWUpPT7cep0avvfaaioqKjupo80di48aN+vnnnzVx4kQ1aNBAt956a71ePwDAP7GwA4CDhIeHa968eXrxxRe1c+dORUVFaeDAgXrkkUeO6EjYgD/r2rWrpk2bdsh3RXCCiooKvf7660d0jICj8cILL2jcuHGKi4vT66+/rtatW9fr9QMA/BNPiQcAAAAAwIF4WzcAAAAAAByIhR0AAAAAAAdiYQcAAAAAwIFcf9C5iooK5ebmqlGjRvJ4PNbjAAAAAABOcF6vV7t371arVq3UoMGhH0d3/cKem5urtm3bWo8BAAAAAHCZDRs2qE2bNoc83/ULe6NGjSQduKEiIyONp6nZvHnzlJaWZj0GXIr+YIn+YIn+YIn+YIn+jr3CwkK1bdvWt48eiuvf1q2wsFBRUVHatWuXYxf2vXv3qmHDhtZjwKXoD5boD5boD5boD5bo79g70j2Ug875gTVr1liPABejP1iiP1iiP1iiP1iiP+dgYfcDu3fvth4BLkZ/sER/sER/sER/sER/zsHC7gd4Ogos0R8s0R8s0R8s0R8s0Z9z8Bp2P3gNe2lpqYKCgqzHgEvRHyzRHyzRHyy5pT+v16uysjKVl5dbj4JfcEt/x1JAQIACAwMP+dbhR7qHuvYo8ZmZmcrMzPSLO4cFCxaoT58+1mPApegPlugPlugPltzQ3/79+5WXl6fi4mLrUXCQkpIShYSEWI/h98LCwtSyZUsFBwfX+Tpcu7BnZGQoIyPD95cNAAAAAMdHRUWF1qxZo4CAALVq1UrBwcGHfCQSx9+ePXsUHh5uPYbf8nq92r9/v/Lz87VmzRp16tRJDRrU7dXorl3Y/Unr1q2tR4CL0R8s0R8s0R8snej97d+/XxUVFWrbtq3CwsKsx8FBGjRo8KseFcaB4wAEBQVp3bp12r9/v0JDQ+t0PRx0zg/wywJL9AdL9AdL9AdLbumvro864tji2Q71oz765jfED/A+iLBEf7BEf7BEf7BEf7BUUlJiPQL+i4UdAAAAAAAHYmH3A926dbMeAS5Gf7BEf7BEf7BEf+7m9Xp1/fXXKzo6Wh6PR4sWLdLAgQN12223+S4TFxenKVOmHJOvz/uwOwcLux/YsGGD9QhwMfqDJfqDJfqDJfpzps2bN+sPf/iDTjrpJIWEhKht27Y677zzNGvWrHr9Op988ommT5+uDz/8UHl5eeratWu1y2RlZen6668/ouubPn26GjdufESX3b9/v8aPH6+ePXsqPDxcUVFR6t69u+69917l5uYezbeBesBR4v3Azp07rUeAi9EfLNEfLNEfLNGf86xdu1b9+/dX48aNNWHCBKWkpKi0tFQzZ85URkaGli9fXm9fKycnRy1btlS/fv0OeZmYmJh6+3qVSkpK9Nvf/lZLlizRgw8+qP79+ysqKko5OTmaMWOGnn76aT322GM1fu7+/ftdc7DE44lH2P1ASEiI9QhwMfqDJfqDJfqDJfpzntGjR8vj8Wju3Lm66KKLlJCQoOTkZI0ZM0Y//PCD73Lr16/X+eefr4iICEVGRuriiy/Wli1bfOc/8MADSk1N1auvvqq4uDhFRUXpkksu0e7duyVJI0aM0B/+8AetX79eHo9HcXFxNc5z8FPid+7cqeuvv17NmzdXaGiounbtqg8//FBffvmlrrnmGu3atUsej0cej0cPPPBAjdf55JNP6ttvv9VHH32kW265Rb169VLHjh111lln6dlnn9Wjjz7qu+zAgQN18803a8yYMWrWrJnOPPNMSdJXX32l3r17KyQkRC1bttRdd92lsrKyQ84tSampqVVm8ng8evbZZzV48GA1bNhQHTp00Ntvv324H88Jy7ULe2ZmppKSkpSenm49Sq1SUlKsR4CL0R8s0R8s0R8s0Z+zFBQU6JNPPlFGRobCw8OrnV/5dHOv16uhQ4eqoKBAX331lT799FPl5ORo+PDhVS5f+Yj1hx9+qA8//FBfffWVHn/8cUnSU089pXHjxqlNmzbKy8tTVlZWrfNVVFRo8ODBmj17tl577TVlZ2fr8ccfV0BAgPr166cpU6YoMjJSeXl5ysvL0x133FHj9bz55ps688wz1bdv3xrPP/jt3l5++WUFBgbqu+++0/PPP69NmzbpnHPOUXp6uhYvXqxnn31WL774oh5++OFav4eD3Xfffbrwwgu1ePFiXXHFFbr00ku1bNmyo74ef+fahT0jI0PZ2dlH9AtgzR9mxImL/mCJ/mCJ/mCJ/pxl9erV8nq96tKly2Ev99lnn2nJkiV644031KtXL/Xp00evvvqqvvrqqyo/04qKCk2fPl1du3bVKaecoiuvvNL3OvioqCg1atRIAQEBatGixRE99f2zzz7T3Llz9d577+nMM8/USSedpHPPPVeDBw9WcHCwoqKi5PF41KJFC7Vo0UIRERE1Xs/KlSvVuXNn7dmzx3fasGHDFBERoYiIiGpP0e/YsaMmTJigzp07q0uXLpo6daratm2rZ555Rl26dNHQoUP14IMPatKkSaqoqKj1+/il3//+9xo1apQSEhL00EMPKS0tTU8//fRRXceJwLULOwAAAAAcCa/XK6n6I8wHW7Zsmdq2bau2bdv6TktKSlLjxo2rPDocFxenRo0a+T5u2bKltm7dWuf5Fi1apDZt2ighIaHO11Hp4O9x6tSpWrRoka699loVFxdXOS8tLa3Kx8uWLVPfvn2rXEf//v1VVFSkjRs3HtUcBz/K37dvXx5hhzO1aNHCegS4GP3BEv3BEv3BEv05S6dOneTxeGpdGL1eb41L/cGnBwUFVTnf4/Ec9SPQv1Rfb8PWqVMnLV++vMp8LVu2VMeOHRUdHV3t8ge/PKCm7//gP3Y0aNDAd1ql0tLSI5qvtj+YnIhY2P1ATa+TAY4X+oMl+oMl+oMl+nOW6OhonXXWWcrMzKzydPFKlUf1T0pK0vr166u8LV92drZ27dqlxMTEYzZfSkqKNm7cqJUrV9Z4fnBwsMrLy2u9nksvvVSffvqpFi9eXKc5kpKSNHv27CoL+ezZs9WoUSO1bt1a0oGj2+fl5fnOLyws1Jo1a6pd1y8P5Ff5cW0vSTgRsbD7gZycHOsR4GL0B0v0B0v0B0v05zxTp05VeXm5evfurXfffVerVq3SsmXL9Je//MX39O0zzjhDKSkpuvzyy7VgwQLNnTtXV111lQYMGFDt6eP1acCAATr11FN14YUX6tNPP9WaNWv073//W5988omkA0/BLyoq0qxZs7Rt27ZqT22vdPvtt6tv374666yz9NRTT2nBggVas2aNZs6cqX//+98KCAg47ByjR4/Whg0b9Ic//EHLly/XP//5T91///0aM2aMGjQ4sHqefvrpevXVV/XNN99o6dKluvrqq2u83rffflsvvfSSVq5cqfvvv19z587VzTff/CtvKf/Dwu7H8vPzlZOTU+Vffn6+9VgAAADACadDhw5asGCBTjvtNI0dO1Zdu3bVmWeeqVmzZunZZ5+VdOAp2zNmzFCTJk106qmn6owzztBJJ52kt95665jP9+677yo9PV2XXnqpkpKSdOedd/oeVe/Xr59uvPFGDR8+XDExMZowYUKN1xEaGqpZs2bp9ttv17Rp03TyyScrMTFRt912m/r3768ZM2YcdobWrVvr448/1ty5c9W9e3fdeOONGjlypO69917fZe6++26deuqpOvfcc3XOOedo6NChio+Pr3ZdDz74oP7+978rJSVFL7/8sl5//XUlJSXV/QbyUx7vwS8gcJnCwkJFRUVp165dioyMtB6nRrt3765yUArpwLJ+0zWXq2T39iqnhzRqqmenvX5ER5MEjkRN/QHHC/3BEv3B0one3759+7RmzRp16NBBoaGh1uPgIOXl5bU+mn4seTwevf/++xo6dKjZDPXhcJ0f6R4aeKyHxK+3efPmanfYhYWFKtm9XWNPiVTbpmGSpA3bizXpm+0qLCxkYUe9qak/4HihP1iiP1iiP1gqLS01XdjxPyzsfqCgoOCQ57VtGqb45r98H8XCYz8QXOVw/QHHGv3BEv3BEv3BUllZmfUI+C8Wdj9w8Ns+AMcT/cES/cES/cES/cGS9dunufxV21Vw0Dk/0LNnT+sR4GL0B0v0B0v0B0v0B0u8raBzuHZhz8zMVFJSktLT061HqdWcOXOsR4CL0R8s0R8s0R8s0R8sFRUVWY+A/3Ltwp6RkaHs7GxlZWVZjwIAAAAAQDWuXdj9SWxsrPUIcDH6gyX6gyX6gyX6gyWOoeAcLOx+ICoqynoEuBj9wRL9wRL9wRL9wRJv6eYcHCXeD6xatUp9+vSxHgMuRX+wRH+wRH+w5Ob+8vPzVVh4fN6qODIyUjExMcfla/mTffv2KSIiovYL4phjYQcAAADgCPn5+brimlEq2F18XL5edKMwvTbtBdcu7X/961/10EMPadOmTZo8ebJ27typGTNm6Ntvv5UkjRgxwncabLCw+4EuXbpYjwAXoz9Yoj9Yoj9Ycmt/hYWFKthdrJi+Fyo8uvkx/Vp7CrYo//t3VVhYeFQL+4gRI/Tyyy/rscce01133eU7fcaMGRo2bNivfg/x/fv3a8qUKXr99de1atUqhYWFqXPnzho1apSuuOKKent9eWFhoW6++WZNnjxZF154oaKiojRhwgRJUmhoqCTpqaeeOuLvZ+3aterQoYMWLlyo1NTUepkRLOx+Ydu2bbyOCWboD5boD5boD5bc3l94dHNFxrY55l8nv46fFxoaqvHjx+uGG25QkyZN6m2e/fv366yzztLixYv10EMPqX///oqMjNQPP/ygJ554Qj169Ki3ZXj9+vUqLS3VkCFD1LJlyyrnlZWVKTAw0NUNOgUHnfMD27Ztsx4BLkZ/sER/sER/sER/znbGGWeoRYsWeuyxxw57uXfffVfJyckKCQlRXFycJk2adNjLT5kyRV9//bVmzZqljIwMpaam6qSTTtJll12mOXPmqFOnTpKkkpIS3XLLLYqNjVVoaKhOPvnkKm9X/eWXX8rj8WjWrFlKS0tTWFiY+vXrpxUrVkiSpk+frm7dukmSTjrpJHk8Hq1du9b3+WVlZZIOPJtg6NChvtMrKio0fvx4dezYUSEhIWrXrp0eeeQRSVKHDh0kST169JDH49HAgQNrvyFRKxZ2P9CgAT8m2KE/WKI/WKI/WKI/ZwsICNCjjz6qp59+Whs3bqzxMvPnz9fFF1+sSy65RD/++KMeeOAB3XfffZo+ffohr/f111/XGWecoR49elQ7LygoSOHh4ZKkO++8U++++65efvllLViwQB07dtRZZ52lgoKCKp/zpz/9SZMmTdK8efMUGBioa6+9VpI0fPhwffbZZ5KkuXPnKi8vT23btvV9nsfjqXG+u+++W+PHj9d9992n7OxsvfHGG2revLnveiTps88+U15ent57771Dfp84ctwT+IH09HTrEeBi9AdL9AdL9AdL9Od8w4YNU2pqqu6///4az588ebIGDRqk++67TwkJCRoxYoRuvvlmTZw48ZDXuWrVqlqPX7Bnzx49++yzmjhxogYPHqykpCT97W9/U8OGDfXiiy9WuewjjzyiAQMGKCkpSXfddZdmz56tffv2qWHDhmratKkkKSYmRi1atKjyVm6Vfxj4pd27d+upp57ShAkTdPXVVys+Pl4nn3yyRo0a5bseSWratKlatGih6Ojow34fODIs7H7gl09vAY43+oMl+oMl+oMl+vMP48eP18svv6zs7Oxq5y1btkz9+/evclr//v21atUqlZeX13h9Xq/3kI9uV8rJyVFpaWmV6w4KClLv3r21bNmyKpdNSUnx/e/K16lv3br18N+UDvxR4GDLli1TSUmJBg0aVOvno/6wsPuBiooK6xHgYvQHS/QHS/QHS/TnH0499VSdddZZuueee6qdV9PyXdsR1xMSEqot3TVdr1T9aes1fb1fHlG+8rwjaaumORs2bFjr56H+uXZhz8zMVFJSkl883ahZs2bWI8DF6A+W6A+W6A+W6M9/PP744/rXv/6l2bNnVzk9KSnJ937mlWbPnq2EhIQqTz//pcsuu0yfffaZFi5cWO28srIy7dmzRx07dlRwcHCV6y4tLdW8efOUmJhYD9+RFBhY/c3EOnXqpIYNG2rWrFk1fk5wcLAkHfLZA6gb176tW0ZGhjIyMlRYWOj4tyvgDhuW6A+W6A+W6A+W3N7fnoItfvM1unXrpssvv1xPP/10ldPHjh2r9PR0PfTQQxo+fLi+//57PfPMM5o6deohr+u2227TRx99pEGDBumhhx7SySefrEaNGmnevHkaP368XnzxRaWmpuqmm27S//3f/yk6Olrt2rXThAkTVFxcrJEjR9bL91TTwh4aGqo//vGPuvPOOxUcHKz+/fsrPz9fP/30k0aOHKnY2Fg1bNhQn3zyidq0aaPQ0FDH71n+wLULuz9Zvny5+vTpYz0GXIr+YIn+YIn+YMmt/UVGRiq6UZjyv3+3zu+RfjSiG4UpMjLyV1/PQw89pH/84x9VTuvZs6f+8Y9/6M9//rMeeughtWzZUuPGjdOIESMOeT0hISH69NNP9eSTT+r555/XHXfcobCwMCUmJuqWW25R165dJR14VL+iokJXXnmldu/erbS0NM2cObPe3hN+3759ioiIqHb6fffdp8DAQP35z39Wbm6uWrZsqRtvvFHSgSX/L3/5i8aNG6c///nPOuWUU/Tll1/Wyzxu5vHW9kKKE1zlI+y7du2ql1/WY2HOnDnV7rBzcnJ027UXa8rQFopvfuCXKWdLkW6bsVlTXvqH4uPjLUbFCaim/oDjhf5gif5g6UTvb9++fVqzZo06dOig0NDQKufl5+ersLDwuMwRGRnpO7o5/qeoqKjGhR1H53CdH+keyiPsfqBTp07WI8DF6A+W6A+W6A+W3NxfTEwMS7Sxg5dL2HHtQef8ya5du6xHgIvRHyzRHyzRHyzRHyxx4DjnYGH3A0fyXonAsUJ/sER/sER/sER/sFRaWmo9Av6LhR0AAAAAAAdiYfcDJ/IBR+B89AdL9AdL9AdL9AdLHHDOOVjY/cCCBQusR4CL0R8s0R8s0R8s0R8s7dmzx3oE/BcLux/gNSSwRH+wRH+wRH+wRH+w5PJ3/nYUFnY/EB0dbT0CXIz+YIn+YIn+YIn+YCkwkHf/dgp+En6gRYsW1iPAxegPlugPlugPltzcX35+vgoLC4/L14qMjOQ932sQFBRkPQL+i4XdD2RnZ3PgEZihP1iiP1iiP1hya3/5+fm66ZrLVbJ7+3H5eiGNmurZaa87Yml/4IEHNGPGDC1atKjO17F27Vp16NBBCxcuVGpqqr788kuddtpp2rFjhxo3bnzE17N3794aDzx38PVbKy4u1pVXXqlPP/1Uu3fv1o4dO5SamqrbbrtNt912myTJ4/Ho/fff19ChQ01nrSsWdgAAAACOUFhYqJLd2zX2lEi1bRp2TL/Whu3FmvTNdhUWFh7Vwj5ixAi9/PLLkg48dbxt27a64IIL9OCDDyo8PLzO89xxxx36wx/+UOfPr0m/fv2Ul5enqKioer3e2qxevVqPPPKIPv30U+Xn56tVq1b6zW9+o7FjxyotLa3evs7LL7+sb775RrNnz1azZs1q/D7z8vLUpEmTI7q++vijSX1jYfcD8fHx1iPAxegPlugPlugPltzeX9umYYpvfjzeWqxuT70/++yzNW3aNJWWluqbb77RqFGjtGfPHj377LNHfV1er1fl5eWKiIio97dTCw4OrtPLK0JCQur8NefNm6dBgwapa9euev7559WlSxft3r1b//znPzV27Fh99dVXdb7ug+Xk5CgxMVFdu3Y95GX8/eUlHHTOD/C2CrBEf7BEf7BEf7BEf84WEhKiFi1aqG3btrrssst0+eWXa8aMGZIOLOATJkzQSSedpIYNG6p79+565513fJ/75ZdfyuPxaObMmUpLS1NISIi++eYbPfDAA1WeZl5RUaFx48apTZs2CgkJUWpqqj755JMqc8ydO1c9evRQaGio0tLStHDhwirnV36tnTt3+k777rvvNGDAAIWFhalJkyY666yztGPHDknSJ598opNPPlkxMTFq2rSpzj33XOXk5Bzx7eL1ejVixAh16tRJ33zzjYYMGaL4+Hilpqbq/vvv1z//+U/fZX/88UedfvrpatiwoZo2barrr79eRUVFvvNHjBihoUOH6oknnlDLli3VtGlTZWRk+N5BYeDAgZo0aZK+/vpreTweDRw4sMaZPB6P72cjSRs3btQll1yi6OhohYeHKy0tTXPmzNH06dP14IMPavHixfJ4PPJ4PJo+ffoRf+/HimsX9szMTCUlJSk9Pd16lFpt3rzZegS4GP3BEv3BEv3BEv35l4YNG/oWyXvvvVfTpk3Ts88+q59++km33367rrjiimqPLN9555167LHHtGzZMqWkpFS7zqeeekqTJk3SE088oSVLluiss87S7373O61atUrSgT/qnHvuuercubPmz5+vBx54QHfcccdh51y0aJEGDRqk5ORkff/99/r222913nnnqby83HedY8aM0ZdffqlZs2apQYMGGjZsmCoqKo7odli0aJF++uknjR07Vg0aVF81K19HX1xcrLPPPltNmjRRVlaW3n77bX322We6+eabq1z+iy++UE5Ojr744gu9/PLLmj59um+Jfu+993Tdddepb9++ysvL03vvvVfrfEVFRRowYIByc3P1wQcfaPHixbrzzjtVUVGh4cOHa+zYsUpOTlZeXp7y8vI0fPjwI/q+jyXXPiU+IyNDGRkZKiwsPO6v6QAAAABwYpg7d67eeOMNDRo0SHv27NHkyZP1+eefq2/fvpKkk046Sd9++62ef/55DRgwwPd548aN05lnnnnI633iiSf0xz/+UZdccokkafz48friiy80ZcoUZWZm6vXXX1d5ebleeuklhYWFKTk5WRs3btRNN910yOucMGGC0tLSNHXqVN9pycnJvv994YUXSjqw2EZEROjFF19UbGyssrOzD/u080qVf0zo0qXLYS/3+uuva+/evXrllVd8r/t/5plndN5552n8+PFq3ry5JKlJkyZ65plnFBAQoC5dumjIkCGaNWuWrrvuOkVHRyssLOyonvb/xhtvKD8/X1lZWb63TuzYsaPv/IiICAUGBjrqafSuXdj9iT88CwAnLvqDJfqDJfqDJfpztg8//FAREREqKytTaWmpzj//fD399NPKzs7Wvn37qi3i+/fvV48ePaqcdriDrxUWFio3N1f9+/evcnr//v21ePFiSdKyZcvUvXt3hYX97+B8lX8kOJRFixbp97///SHPz8nJ0X333acffvhB27Zt8z2yvn79+iNa2L1er6QDT0M/nMrZf3mQvv79+6uiokIrVqzwLezJyckKCAjwXaZly5b68ccfa53jUBYtWqQePXr4lnV/4NqnxPuTJUuWWI8AF6M/WKI/WKI/WKI/ZzvttNO0aNEirVixQvv27dN7772n2NhY34L70UcfadGiRb5/2dnZVV7HLumIjih/8OLr9Xp9p1Uux0ejYcOGhz3/vPPO0/bt2/X0009rzpw5mjNnjqQDf3A4EgkJCZIOLOSH88vv42C/PP3g94P3eDxH/PT8mtT2/TsRC7sfKCkpsR4BLkZ/sER/sER/sER/zhYeHq6OHTuqffv2VZbKpKQkhYSEaP369erYsWOVf23btj3i64+MjFSrVq307bffVjl99uzZSkxM9H2txYsXa+/evb7zf/jhh8Neb0pKimbNmlXjedu3b9eyZct07733asCAAUpMTPQdjO5IpaamKikpSZMmTapxsa48+F1SUpIWLVpU5eCK3333nRo0aOBb+o+FlJQULVq0SAUFBTWeHxwc7Hs9v1PwlHg/UHlwBsAC/cES/cES/cGS2/vbsL3YL79Go0aNdMcdd+j2229XRUWFTj75ZBUWFmr27NmKiIjQ1VdffcTX9X//93+6//77fUdZnzZtmhYtWqTXX39dknTZZZfpT3/6k0aOHKl7771Xa9eu1RNPPHHY67z77rvVrVs3jR49WjfeeKOCg4P1xRdf6Pe//72io6PVtGlT/fWvf9Vdd92lLVu26K677jqq79/j8WjatGk644wzdOqpp+qee+5Rly5dVFRUpH/961/6z3/+o6+++kqXX3657r//fl199dV64IEHlJ+frz/84Q+68sorfU+HPxYuvfRSPfrooxo6dKgee+wxtWzZUgsXLlSrVq3Ut29fxcXFac2aNVq0aJHatGmjRo0a/aq3uKsPLOx+4Gj+GgfUN/qDJfqDJfqDJbf2FxkZqZBGTTXpm+2q63ukH42QRk0VGRlZr9f50EMPKTY2Vo899ph+/vlnNW7cWD179tQ999xzVNdzyy23qLCwUGPHjtXWrVuVlJSkDz74QJ06dZJ04ABp//rXv3TjjTeqR48eSkpK0vjx430HjqtJQkKC/vOf/+iee+5R79691bBhQ/Xp00eXXnqpGjRooL///e+65ZZb1KtXL3Xu3Fl/+ctfDvl2aYfSu3dvzZs3T4888oiuu+46bdu2TS1btlS/fv00ZcoUSVJYWJhmzpypW2+9Venp6QoLC9OFF16oyZMnH9XXOlrBwcH6z3/+o7Fjx+qcc85RWVmZkpKSlJmZKenAQffee+89nXbaadq5c6emTZumESNGHNOZauPx1uXFDyeQyqPE79q1q95/WevLnDlz1KdPnyqn5eTk6LZrL9aUoS0U3zziwGlbinTbjM2a8tI/FB8fbzEqTkA19QccL/QHS/QHSyd6f/v27dOaNWvUoUMHhYaGVjkvPz9fhYXHflmXDvyBICYm5rh8LX9SeZR4/DqH6/xI91AeYQcAAADgGDExMSzRwH9x0Dk/0KFDB+sR4GL0B0v0B0v0B0v0B0vWr9vG/7Cw+4EjfRsF4FigP1iiP1iiP1iiP1hy+aumHYWF3Q9s2rTJegS4GP3BEv3BEv3BEv3BEn8wcg4WdgAAAAAAHIiF3Q/07NnTegS4GP3BEv3BEv3BEv3BUlhYmPUI+C8Wdj+wbNky6xHgYvQHS/QHS/QHS/QHS/v27bMeAf/Fwu4H9u7daz0CXIz+YIn+YIn+YIn+YKmiosJ6BPwX78PuBxo1amQ9AlyM/mCJ/mCJ/mDJzf3l5+ersLDwuHytyMhI3vO9BgEBAdYj4L9Y2P0A78MJS/QHS/QHS/QHS27tLz8/X1eOvFIFewqOy9eLDo/Wqy++6ldL+5dffqnTTjtNO3bsUOPGjY/J1zgR34d9+fLlGjFihBYtWqQuXbpoxowZ6tChgxYuXKjU1NTjcrvWBQu7H1iyZIn69OljPQZciv5gif5gif5gya39FRYWqmBPgVqf01oRsRHH9GsVbS3Spo83qbCw8KgX9s2bN+uRRx7RRx99pE2bNik2Nlapqam67bbbNGjQoHqbceDAgUpNTdWUKVN8p/Xr1095eXmKioqqt69zsOLiYkVEHNvbv9IXX3yhiRMnas6cOdq7d6/i4uI0ePBgjRkzRq1bt663r3P//fcrPDxcK1asUEREhHbv3l3l/KO9XWv62RwLLOwAAAAAHCUiNkJRrY7dQvprrF27Vv3791fjxo01YcIEpaSkqLS0VDNnzlRGRoaWL19+TL9+cHCwWrRocUy/xvHy/PPPa/To0br66qv17rvvKi4uTuvXr9crr7yiSZMmafLkyfX2tXJycjRkyBC1b99ekqot7E69XTnonB+ojOpIlOwv1bp165STk6OcnBzl5+cfw8ngBkfTH1Df6A+W6A+W6M+5Ro8eLY/Ho7lz5+qiiy5SQkKCkpOTNWbMGP3www++y61fv17nn3++IiIiFBkZqYsvvlhbtmzxnf/AAw8oNTVVr776quLi4hQVFaVLLrnEt0iOGDFCX331lZ566il5PB55PB6tXbtWX375pTwej3bu3ClJmj59uho3bqyZM2cqMTFREREROvvss5WXl+f7WgMHDtRtt91W5fsYOnSoRowY4ft4x44duuqqq9SkSRPFxsZq8ODBWrVqVbV5f2nKlCmKi4vzffzll1+qd+/eCg8PV+PGjdW/f3+tW7euxttx48aNuuWWW3TLLbfopZde0sCBAxUXF6dTTz1VL7zwgv785z/7Lvvuu+8qOTlZISEhiouL06RJk6pcV1xcnB599FFde+21atSokdq1a6e//vWvvvM9Ho/mz5+vcePGyePx6IEHHqg2z8G3qyR99913GjBggMLCwtSkSROdddZZ2rFjxyF/NscCC7sfONKjNG4vKtHides15s9jdOn1l+rS6y/VlSOvZGnHr8JRQmGJ/mCJ/mCJ/pypoKBAn3zyiTIyMhQeHl7t/MrXPnu9Xg0dOlQFBQX66quv9OmnnyonJ0fDhw+vcvmcnBzNmDFDH374oT788EN99dVXevzxxyVJTz31lPr27avrrrtOeXl5ysvLU9u2bWucq7i4WE888YReffVVff3111q/fr3uuOOOo/reRowYoXnz5umDDz7Q119/La/Xq3POOUelpaVH9PllZWUaOnSoBgwYoCVLluj777/X9ddfL4/HU+Pl3377be3fv1933nlnjedX3pbz58/XxRdfrEsuuUQ//vijHnjgAd13332aPn16lctPmjRJaWlpWrhwoUaPHq2bbrrJ92yHvLw8JScna+zYscrLyzui22bRokUaNGiQkpOT9f333+vbb7/Veeedp/Ly8qP62fxarn1KfGZmpjIzM1VeXm49Sq02bNigVq1a1Xq5on1lKg/wqsXgFoppF/OrXpcDVDrS/oBjgf5gif5gif6cafXq1fJ6verSpcthL/fZZ59pyZIlWrNmjW+Re/XVV5WcnKysrCylp6dLOvCHmenTp/veFeDKK6/UrFmz9MgjjygqKkrBwcEKCwur9anapaWleu655xQfHy9JuvnmmzVu3Lgj/r5WrVqlDz74QN9995369eunoqIivf7662rbtq1mzJih3//+97VeR2FhoXbt2qVzzz3XN0diYuJhv2ZkZKRatmx52OudPHmyBg0apPvuu0+SlJCQoOzsbE2cOLHKMwTOOeccjR49WpL0xz/+UU8++aS+/PJLdenSRS1atFBgYKAiIiJ8t+W2bdsO+3UnTJigtLQ0TZ061XdacnKy738f6c/m13LtI+wZGRnKzs5WVlaW9ShHLD8/3/dU93Xr1qmsrKzGy4U3C1dUq6hjfqAOAAAAwE28Xq8kHfJR40rLli1T27ZtqzzqmpSUpMaNG2vZsmW+0+Li4qq8hV/Lli21devWo54rLCzMtyTX5XqWLVumwMDAKgc6bNq0qTp37lxl3sOJjo7WiBEjdNZZZ+m8887TU089VeVp+Qfzer213o6Vs/Xv37/Kaf3799eqVauqPPiakpLi+98ej0ctWrSo021ZqfIRdmuuXdj9SWpqqvLz83XFNaN0ybU36pJrb9Std92ntevWq6R0v/V4OMEd/Fol4HiiP1iiP1iiP2fq1KmTPB5PrUvsoZbRg08PCgqqcr7H46nTyyFqup7KPy5IUoMGDap8LKnKU90PPi8sLKzavLVdhyRNmzZN33//vfr166e33npLCQkJVV7X/0sJCQnatWvXYZf6g2c41LxS/d2WlRo2bFjnz61PLOx+YPXq1Qfe4mJ3sWL6Xqi4IaMV3eNslVVUqLy05kfZgfqyevVq6xHgYvQHS/QHS/TnTNHR0TrrrLOUmZmpPXv2VDu/8oBlSUlJWr9+vTZs2OA7Lzs7W7t27Trs08QPFhwcXC8v4Y2JiamyGJeXl2vp0qW+j5OSklRWVqY5c+ZIkkpKSrR9+3atXLnSN29MTIw2b95cZVletGhRta/Vo0cP3X333Zo9e7a6du2qN954o8aZLrroIgUHB2vChAk1nv/L2/Lbb7+tct7s2bOVkJCggICA2r/5OkpJSdGsWbMOeX59/Wxq49rXsPuToqIihYaGSpLCo5srMraNirZvNp4KblFUVGQ9AlyM/mCJ/mDJ7f0VbT32339dv8bUqVPVr18/9e7dW+PGjVNKSorKysr06aef6tlnn9WyZct0xhlnKCUlRZdffrmmTJmisrIyjR49WgMGDFBaWtoRf624uDjNmTNHa9euVUREhKKjo+s08+mnn64xY8boo48+Unx8vJ588skqR0Pv1KmTzj//fF133XV6/vnnFRAQoHHjxql169Y6//zzJR040nx+fr4mTJigiy66SJ988on+/e9/KzIyUpK0Zs0a/fWvf9Xvfvc7tWrVSitWrNDKlSt11VVX1ThT27Zt9eSTT+rmm29WYWGhrrrqKsXFxWnjxo165ZVXFBERoUmTJmns2LFKT0/XQw89pOHDh+v777/XM888U+W15cfC3XffrW7dumn06NG68cYbFRwcrC+++EK///3v1axZsxp/Ng0a1P/j4SzsfqCmI1ACxwv9wRL9wRL9wZJb+4uMjFR0eLQ2fbzpuHy96PBo38J5pDp06KAFCxbokUce8R11PCYmRr169dKzzz4r6cDTsWfMmKE//OEPOvXUU9WgQQOdffbZevrpp4/qa91xxx26+uqrlZSUpL1792rNmjVH9fmVrr32Wi1evFhXXXWVAgMDdfvtt+u0006rcplp06bp1ltv1bnnnqv9+/fr1FNP1ccff+x7qnliYqKmTp2qRx99VA899JAuvPBC3XHHHb63TwsLC9Py5cv18ssva/v27WrZsqVuvvlm3XDDDYeca/To0UpISNATTzyhYcOGae/evYqLi9O5556rMWPGSJJ69uypf/zjH/rzn/+shx56SC1bttS4ceOqHHDuWEhISNB//vMf3XPPPerdu7caNmyoPn366NJLL5VU88/ml29xV1883ppeAOAihYWFioqK0q5du476l/V42b9/vzZs2KBLrr1RcUNGKzK2jXKXzdPqV+/Sexk91a1DrCTp85+26OJXFmrAvWeoZceW2pW7Syumr9Cbf32zykEogKOxf/9+BQcHW48Bl6I/WKI/WDrR+9u3b5/WrFmjDh06+J5JWik/P1+FhYXHZY7IyEjeTakGFRUVx+TRYrc5XOdHuofyCLsfWLhwoZo1a2Y9Blxq4cKFVY4YChxP9AdL9AdLbu4vJiaGJdpYcXGxIiJ4xykn4M8mAAAAAAA4EAu7H2jTpo31CHAx+oMl+oMl+oMl+oOlE/nlGP6Ghd0PHMu3KwBqQ3+wRH+wRH+wRH+wVNN7yMMGC7sfWLdunfUIcDH6gyX6gyX6gyW39Ofy4187VklJifUIJ4T66JuFHQAAAMBxVflWYcXFxcaTAMdOZd+VvdcFR4n3AykpKcrNzbUeAy6VkpJiPQJcjP5gif5g6UTvLyAgQI0bN9bWrVslHXgPb56G7RwNGjTQvn37rMfwW16vV8XFxdq6dasaN278q17iwsLuB9auXcuBH2Bm7dq1SkxMtB4DLkV/sER/sOSG/lq0aCFJvqUdzlFaWvqrHhXGAY0bN/Z1Xlcs7H6gsLCQ92GHmcLCQusR4GL0B0v0B0tu6M/j8ahly5aKjY1VaWmp9Tj4hcWLFyshIcF6DL8WFBRULwePZGH3A6GhodYjwMXoD5boD5boD5bc1F9AQABHxXeY0NBQVzXoZBx0zg8kJydbjwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3A/Pnz7ceAS5Gf7BEf7BEf7BEf7BEf87Bwg4AAAAAgAOxsPuBVq1aWY8AF6M/WKI/WKI/WKI/WKI/52Bh9wMc8AGW6A+W6A+W6A+W6A+W6M85WNj9wM8//2w9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhR0AAAAAAAdiYfcDXbt2tR4BLkZ/sER/sER/sER/sER/zsHC7gc2btxoPQJcjP5gif5gif5gif5gif6cg4XdD+zcudN6BLgY/cES/cES/cES/cES/TkHC7sfCA4Oth4BLkZ/sER/sER/sER/sER/zsHC7gdSU1OtR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gblz51qPABejP1iiP1iiP1iiP1iiP+dgYQcAAAAAwIFcu7BnZmYqKSlJ6enp1qPUqkWLFtYjwMXoD5boD5boD5boD5bozzlcu7BnZGQoOztbWVlZ1qPUKiIiwnoEuBj9wRL9wRL9wRL9wRL9OYdrF3Z/snr1ausR4GL0B0v0B0v0B0v0B0v05xws7AAAAAAAOBALux9ITEy0HgEuRn+wRH+wRH+wRH+wRH/OwcLuB7Zs2WI9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhd0PFBQUWI8AF6M/WKI/WKI/WKI/WKI/52Bh9wOBgYHWI8DF6A+W6A+W6A+W6A+W6M85WNj9QK9evaxHgIvRHyzRHyzRHyzRHyzRn3OwsPuBuXPnWo8AF6M/WKI/WKI/WKI/WKI/52Bh9wNer9d6BLgY/cES/cES/cES/cES/TkHC7sfiImJsR4BLkZ/sER/sER/sER/sER/zsHC7geaNGliPQJcjP5gif5gif5gif5gif6cg4XdD6xcudJ6BLgY/cES/cES/cES/cES/TkHCzsAAAAAAA7Ewu4HOnfubD0CXIz+YIn+YIn+YIn+YIn+nIOF3Q8UFBRYjwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3A/n5+dYjwMXoD5boD5boD5boD5bozzlY2P1Agwb8mGCH/mCJ/mCJ/mCJ/mCJ/pyDn4QfSE9Ptx4BLkZ/sER/sER/sER/sER/zsHC7gfmzZtnPQJcjP5gif5gif5gif5gif6cg4XdD5SXl1uPABejP1iiP1iiP1iiP1iiP+dgYfcDTZs2tR4BLkZ/sER/sER/sER/sER/zsHC7gdiY2OtR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gWXLllmPABejP1iiP1iiP1iiP1iiP+dgYQcAAAAAwIFY2P1Ap06drEeAi9EfLNEfLNEfLNEfLNGfc7Cw+4HCwkLrEeBi9AdL9AdL9AdL9AdL9OccLOx+YMuWLdYjwMXoD5boD5boD5boD5bozzlY2AEAAAAAcCAWdj/Qp08f6xHgYvQHS/QHS/QHS/QHS/TnHCzsfmDBggXWI8DF6A+W6A+W6A+W6A+W6M85WNj9QGlpqfUIcDH6gyX6gyX6gyX6gyX6cw4Wdj/QpEkT6xHgYvQHS/QHS/QHS/QHS/TnHCzsfqBVq1bWI8DF6A+W6A+W6A+W6A+W6M85WNj9wE8//WQ9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhR0AAAAAAAdiYfcD8fHx1iPAxegPlugPlugPlugPlujPOVjY/UBxcbH1CHAx+oMl+oMl+oMl+oMl+nMOFnY/kJeXZz0CXIz+YIn+YIn+YIn+YIn+nIOFHQAAAAAAB2Jh9wNpaWnWI8DF6A+W6A+W6A+W6A+W6M85WNj9wNKlS61HgIvRHyzRHyzRHyzRHyzRn3OwsPuBffv2WY8AF6M/WKI/WKI/WKI/WKI/52Bh9wNRUVHWI8DF6A+W6A+W6A+W6A+W6M85WNj9QLt27axHgIvRHyzRHyzRHyzRHyzRn3OwsPuBH3/80XoEuBj9wRL9wRL9wRL9wRL9OYffL+wbNmzQwIEDlZSUpJSUFL399tvWIwEAAAAA8KsFWg/wawUGBmrKlClKTU3V1q1b1bNnT51zzjkKDw+3Hq3exMXFqaioyHoMuFRcXJz1CHAx+oMl+oMl+oMl+nMOv1/YW7ZsqZYtW0qSYmNjFR0drYKCghNqYS8rK7MeAS5Gf7BEf7BEf7BEf7BEf85h/pT4r7/+Wuedd55atWolj8ejGTNmVLvM1KlT1aFDB4WGhqpXr1765ptvaryuefPmqaKiQm3btj3GUx9fGzdutB4BLkZ/sER/sER/sER/sER/zmG+sO/Zs0fdu3fXM888U+P5b731lm677Tb96U9/0sKFC3XKKado8ODBWr9+fZXLbd++XVdddZX++te/Ho+xAQAAAAA4psyfEj948GANHjz4kOdPnjxZI0eO1KhRoyRJU6ZM0cyZM/Xss8/qsccekySVlJRo2LBhuvvuu9WvX7/Dfr2SkhKVlJT4Pi4sLKyH7+LY6tmzZ7U/UADHS8+ePa1HgIvRHyzRHyzRHyzRn3OYL+yHs3//fs2fP1933XVXldN/+9vfavbs2ZIkr9erESNG6PTTT9eVV15Z63U+9thjevDBB6udPm/ePIWHh6tnz55atmyZ9u7dq0aNGqlDhw5asmSJJKl9+/aqqKjQhg0bJEmpqalavXq1ioqKFB4eroSEBC1cuFCS1KZNGwUEBGjdunWSpJSUFK1du1aFhYUKDQ1VcnKy5s+fL0lq1aqVQkND9fPPP0uSunbtqo0bN2rnzp0KDg5WQECAtm3bpovPH6Lt4VJ5QIlSukRrz023aX/IUq0KSlRBgxjtPWm3pIUa0HiAwvaGaWPQRhXGFmrdunXatm2bOnfurIKCAuXn56tBgwZKT0/XvHnzVF5erqZNmyo2NlbLli2TJHXq1EmFhYXasmWLJKlPnz5asGCBSktL1aRJE7Vq1Uo//fSTJCk+Pl7FxcXKy8uTJKWlpWnp0qXat2+foqKi1K5dO99bQ8TFxamsrMz3NJuePXtq+fLlKi4uVkREhOLj47V48WJJ/3v/x8o/VnTv3l05OTkqKipSWFiYunTpogULFvhu78DAQK1du1aS1K1bN61fv167du1SaGiounbtqnnz5kk6cNyDsLAw5eTkSJKSk5OVm5urHTt2KCgoSD179tScOXMkSc2bN1dkZKRWrVolSUpMTNTWrVu1fft2BQQEKC0tTVlZWaqoqFBMTIyio6O1YsUKSVJCQoJ27Nih/Px8eTwe9e7dW/Pnz1dZWZmio6PVvHlz3+3dsWNHFRUVafPmzZKk3r17a9GiRdq/f78aN26sNm3aaOnSpZKkk046Sfv27VNubq4kqVevXvrpp5+0b98+RUZGKi4urkqz5eXlvtu7R48eWrlypfbs2aOIiAh17NhRixYtkiS1bdtWDRo0qNLsmjVrtGnTJjVv3lyJiYm+27t169YKDg7WmjVrfLf3hg0btHPnToWEhCglJUVZWVmSpBYtWig8PNx3eyclJWnz5s0qKCiodnvHxsYqKirKd3t36dJF27Zt07Zt23zNVt7ezZo1U7NmzbR8+XJfs7t27dLWrVurNRsdHa0WLVooOzvb1+yePXt8t3d6erqWLFmikpISNW7cWG3btvU126FDB+3fv1+bNm3yNeu0+4jU1FTNnTvXd3tHRERo9erVvma3bNmigoICBQYGqlevXpo7d668Xq9iYmLUpEkTrVy5UpIceR8RGhqqBg0acB/h4PuI3bt3q2HDhifkfcTKlSsVGRnJfYSD7yNO5P+OaNCggZo2bcp9hIPvI07k/45YsGCBIiMjuY84hvcRe/bs0ZHweL1e7xFd8jjweDx6//33NXToUElSbm6uWrdure+++67KI+ePPvqoXn75Za1YsULffvutTj31VKWkpPjOf/XVV9WtW7cav0ZNj7C3bdtWu3btUmRk5LH5xn6lOXPmqFmzZrrk2hsVN2S0ImPbKHfZPK1+9S69l9FT3TrESpI+/2mLLn5loQbce4ZadmypXbm7tGL6Cr351zcVHx9v/F3AX82ZM0d9+vSxHgMuRX+wRH+wRH+wRH/HXmFhoaKiomrdQx39CHslj8dT5WOv1+s77eSTT1ZFRcURX1dISIhCQkLqdb5jLSIiwnoEuBj9wRL9wRL9wRL9wRL9OYf5QecOp1mzZgoICPA93aTS1q1b1bx5c6Opjj8eHYcl+oMl+oMl+oMl+oMl+nMORy/swcHB6tWrlz799NMqp3/66ae1HlzuRFL5OgvAAv3BEv3BEv3BEv3BEv05h/lT4ouKinwHPpGkNWvWaNGiRYqOjla7du00ZswYXXnllUpLS1Pfvn3117/+VevXr9eNN95oODUAAAAAAMeW+cI+b948nXbaab6Px4wZI0m6+uqrNX36dA0fPlzbt2/XuHHjlJeXp65du+rjjz9W+/btrUY+7tq1a6fi4mLrMeBSlUfQBCzQHyzRHyzRHyzRn3OYL+wDBw5UbQeqHz16tEaPHn2cJgIAAAAAwJ6jX8N+LGVmZiopKUnp6enWo9Sq8r0BAQv0B0v0B0v0B0v0B0v05xyuXdgzMjKUnZ2trKws61EAAAAAAKjGtQu7P+nevbv1CHAx+oMl+oMl+oMl+oMl+nMOFnY/kJOTYz0CXIz+YIn+YIn+YIn+YIn+nIOF3Q8UFRVZjwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3A2FhYdYjwMXoD5boD5boD5boD5bozzlY2P1Aly5drEeAi9EfLNEfLNEfLNEfLNGfc7Cw+4EFCxZYjwAXoz9Yoj9Yoj9Yoj9Yoj/nYGEHAAAAAMCBXLuwZ2ZmKikpSenp6daj1KpNmzbWI8DF6A+W6A+W6A+W6A+W6M85XLuwZ2RkKDs7W1lZWdaj1CowMNB6BLgY/cES/cES/cES/cES/TmHaxd2f7J27VrrEeBi9AdL9AdL9AdL9AdL9OccLOwAAAAAADgQC7sf6Natm/UIcDH6gyX6gyX6gyX6gyX6cw4Wdj+wfv166xHgYvQHS/QHS/QHS/QHS/TnHCzsfmDXrl3WI8DF6A+W6A+W6A+W6A+W6M85WNj9QGhoqPUIcDH6gyX6gyX6gyX6gyX6cw4Wdj/QtWtX6xHgYvQHS/QHS/QHS/QHS/TnHCzsfmDevHnWI8DF6A+W6A+W6A+W6A+W6M85XLuwZ2ZmKikpSenp6dajAAAAAABQjWsX9oyMDGVnZysrK8t6lFq1bNnSegS4GP3BEv3BEv3BEv3BEv05h2sXdn8SFhZmPQJcjP5gif5gif5gif5gif6cg4XdD+Tk5FiPABejP1iiP1iiP1iiP1iiP+dgYQcAAAAAwIFY2P1AcnKy9QhwMfqDJfqDJfqDJfqDJfpzDhZ2P5Cbm2s9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhd0P7Nixw3oEuBj9wRL9wRL9wRL9wRL9OQcLux8ICgqyHgEuRn+wRH+wRH+wRH+wRH/OwcLuB3r27Gk9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhd0PzJkzx3oEuBj9wRL9wRL9wRL9wRL9OYdrF/bMzEwlJSUpPT3dehQAAAAAAKpx7cKekZGh7OxsZWVlWY9Sq+bNm1uPABejP1iiP1iiP1iiP1iiP+dw7cLuTyIjI61HgIvRHyzRHyzRHyzRHyzRn3OwsPuBVatWWY8AF6M/WKI/WKI/WKI/WKI/52BhBwAAAADAgVjY/UBiYqL1CHAx+oMl+oMl+oMl+oMl+nMOFnY/sHXrVusR4GL0B0v0B0v0B0v0B0v05xws7H5g+/bt1iPAxegPlugPlugPlugPlujPOVjY/UBAQID1CHAx+oMl+oMl+oMl+oMl+nMOFnY/kJaWZj0CXIz+YIn+YIn+YIn+YIn+nIOF3Q9kZWVZjwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3AxUVFdYjwMXoD5boD5boD5boD5bozzlY2P1ATEyM9QhwMfqDJfqDJfqDJfqDJfpzDhZ2PxAdHW09AlyM/mCJ/mCJ/mCJ/mCJ/pzDtQt7ZmamkpKSlJ6ebj1KrVasWGE9AlyM/mCJ/mCJ/mCJ/mCJ/pzDtQt7RkaGsrOzOaACAAAAAMCRXLuw+5OEhATrEeBi9AdL9AdL9AdL9AdL9OccLOx+YMeOHdYjwMXoD5boD5boD5boD5bozzlY2P1Afn6+9QhwMfqDJfqDJfqDJfqDJfpzDhZ2P+DxeKxHgIvRHyzRHyzRHyzRHyzRn3OwsPuB3r17W48AF6M/WKI/WKI/WKI/WKI/52Bh9wPz58+3HgEuRn+wRH+wRH+wRH+wRH/OwcLuB8rKyqxHgIvRHyzRHyzRHyzRHyzRn3OwsPuB6Oho6xHgYvQHS/QHS/QHS/QHS/TnHCzsfqB58+bWI8DF6A+W6A+W6A+W6A+W6M85WNj9wLJly6xHgIvRHyzRHyzRHyzRHyzRn3OwsAMAAAAA4EAs7H6gY8eO1iPAxegPlugPlugPlugPlujPOVjY/UBRUZH1CHAx+oMl+oMl+oMl+oMl+nMOFnY/sHnzZusR4GL0B0v0B0v0B0v0B0v05xws7AAAAAAAOJBrF/bMzEwlJSUpPT3depRa9e7d23oEuBj9wRL9wRL9wRL9wRL9OYdrF/aMjAxlZ2crKyvLepRaLVq0yHoEuBj9wRL9wRL9wRL9wRL9OYdrF3Z/sn//fusR4GL0B0v0B0v0B0v0B0v05xx1WtjXrFlT33PgMBo3bmw9AlyM/mCJ/mCJ/mCJ/mCJ/pyjTgt7x44dddppp+m1117Tvn376nsmHKRNmzbWI8DF6A+W6A+W6A+W6A+W6M856rSwL168WD169NDYsWPVokUL3XDDDZo7d259z4b/Wrp0qfUIcDH6gyX6gyX6gyX6gyX6c446Lexdu3bV5MmTtWnTJk2bNk2bN2/WySefrOTkZE2ePFn5+fn1PScAAAAAAK7yqw46FxgYqGHDhukf//iHxo8fr5ycHN1xxx1q06aNrrrqKuXl5dXXnK520kknWY8AF6M/WKI/WKI/WKI/WKI/5/hVC/u8efM0evRotWzZUpMnT9Ydd9yhnJwcff7559q0aZPOP//8+prT1ThOACzRHyzRHyzRHyzRHyzRn3PUaWGfPHmyunXrpn79+ik3N1evvPKK1q1bp4cfflgdOnRQ//799fzzz2vBggX1Pa8r5ebmWo8AF6M/WKI/WKI/WKI/WKI/5wisyyc9++yzuvbaa3XNNdeoRYsWNV6mXbt2evHFF3/VcAAAAAAAuFWdFvZVq1bVepng4GBdffXVdbl6HKRXr15at26d9RhwqV69elmPABejP1iiP1iiP1iiP+eo01Pip02bprfffrva6W+//bZefvnlXz0Uqvrpp5+sR4CL0R8s0R8s0R8s0R8s0Z9z1Glhf/zxx9WsWbNqp8fGxurRRx/91UOhKg76AEv0B0v0B0v0B0v0B0v05xx1WtjXrVunDh06VDu9ffv2Wr9+/a8eClVFRkZajwAXoz9Yoj9Yoj9Yoj9Yoj/nqNPCHhsbqyVLllQ7ffHixWratOmvHgpVxcXFWY8AF6M/WKI/WKI/WKI/WKI/56jTwn7JJZfolltu0RdffKHy8nKVl5fr888/16233qpLLrmkvmd0vZr+OAIcL/QHS/QHS/QHS/QHS/TnHHU6SvzDDz+sdevWadCgQQoMPHAVFRUVuuqqq3gNOwAAAAAA9aBOC3twcLDeeustPfTQQ1q8eLEaNmyobt26qX379vU9H3Tg2AB79uyxHgMuxe81LNEfLNEfLNEfLNGfc9RpYa+UkJCghISE+poFh1BeXm49AlyM/mCJ/mCJ/mCJ/mCJ/pyjTgt7eXm5pk+frlmzZmnr1q2qqKiocv7nn39eL8PhgI0bN9b4NnrA8bBx40a1bt3aegy4FP3BEv3BEv3BEv05R50W9ltvvVXTp0/XkCFD1LVrV3k8nvqeCwAAAAAAV6vTwv73v/9d//jHP3TOOefU9zzHTWZmpjIzM/3i6R49evTQhg0brMeAS/Xo0cN6BLgY/cES/cES/cES/TlHnd7WLTg4WB07dqzvWY6rjIwMZWdnKysry3qUWq1cudJ6BLgY/cES/cES/cES/cES/TlHnRb2sWPH6qmnnpLX663veVADjhAPS/QHS/QHS/QHS/QHS/TnHHV6Svy3336rL774Qv/+97+VnJysoKCgKue/99579TIcDoiIiLAeAS5Gf7BEf7BEf7BEf7BEf85Rp4W9cePGGjZsWH3PgkPo2LGjNm7caD0GXMrfX/4C/0Z/sER/sER/sER/zlGnhX3atGn1PQcOY9GiRbytG8wsWrRIffr0sR4DLkV/sER/sER/sER/zlGn17BLUllZmT777DM9//zz2r17tyQpNzdXRUVF9TYcAAAAAABuVadH2NetW6ezzz5b69evV0lJic4880w1atRIEyZM0L59+/Tcc8/V95yu1rZtW+3du9d6DLhU27ZtrUeAi9EfLNEfLNEfLNGfc9TpEfZbb71VaWlp2rFjhxo2bOg7fdiwYZo1a1a9DYcDGjSo8xMhgF+N/mCJ/mCJ/mCJ/mCJ/pyjTj+Jb7/9Vvfee6+Cg4OrnN6+fXtt2rSpXgbD/6xbt856BLgY/cES/cES/cES/cES/TlHnRb2iooKlZeXVzt948aNatSo0a8eCgAAAAAAt6vTwn7mmWdqypQpvo89Ho+Kiop0//3365xzzqmv2fBfKSkp1iPAxegPlugPlugPlugPlujPOeq0sD/55JP66quvlJSUpH379umyyy5TXFycNm3apPHjx9f3jK63Zs0a6xHgYvQHS/QHS/QHS/QHS/TnHHU6SnyrVq20aNEivfnmm1qwYIEqKio0cuRIXX755VUOQof6sXv3boWEhFiPAZeqfNtGwAL9wRL9wRL9wRL9OUedFnZJatiwoa699lpde+219TkPasAfQWCJ/mCJ/mCJ/mCJ/mCJ/pyjTgv7K6+8ctjzr7rqqjoNg5olJiZq/fr11mPApRITE61HgIvRHyzRHyzRHyzRn3PUaWG/9dZbq3xcWlqq4uJiBQcHKywsjIW9ni1YsEDNmjWzHgMutWDBAvXp08d6DLgU/cES/cES/cES/TlHnQ46t2PHjir/ioqKtGLFCp188sl6880363tGAAAAAABcp04Le006deqkxx9/vNqj7/j1WrdubT0CXIz+YIn+YIn+YIn+YIn+nKPeFnZJCggIUG5ubn1eJSQFBwdbjwAXoz9Yoj9Yoj9Yoj9Yoj/nqNNr2D/44IMqH3u9XuXl5emZZ55R//7962Uw/M+aNWt4DTvMrFmzRrGxsdZjwKXoD5boD5boD5bozznqtLAPHTq0yscej0cxMTE6/fTTNWnSpPqYCwAAAAAAV6vTwl5RUVHfc+AwunXrpry8POsx4FLdunWzHgEuRn+wRH+wRH+wRH/OUa+vYcexsWHDBusR4GL0B0v0B0v0B0v0B0v05xx1eoR9zJgxR3zZyZMn1+VL4Bd27tzJa9hhZufOndYjwMXoD5boD5boD5bozznqtLAvXLhQCxYsUFlZmTp37ixJWrlypQICAtSzZ0/f5TweT/1M6XIhISHWI8DF6A+W6A+W6A+W6A+W6M856rSwn3feeWrUqJFefvllNWnSRJK0Y8cOXXPNNTrllFM0duzYeh3S7VJSUrRmzRrrMeBSKSkp1iPAxegPlugPlugPlujPOer0GvZJkybpscce8y3rktSkSRM9/PDDHCX+GMjKyrIeAS5Gf7BEf7BEf7BEf7BEf85Rp4W9sLBQW7ZsqXb61q1btXv37l89FAAAAAAAblenhX3YsGG65ppr9M4772jjxo3auHGj3nnnHY0cOVIXXHBBfc/oei1atLAeAS5Gf7BEf7BEf7BEf7BEf85Rp9ewP/fcc7rjjjt0xRVXqLS09MAVBQZq5MiRmjhxYr0OCCk8PFy7du2yHgMuFR4ebj0CXIz+YIn+YIn+YIn+nKNOj7CHhYVp6tSp2r59u++I8QUFBZo6darf/HAzMzOVlJSk9PR061FqlZOTYz0CXIz+YIn+YIn+YIn+YIn+nKNOC3ulvLw85eXlKSEhQeHh4fJ6vfU11zGXkZGh7OxsDqgAAAAAAHCkOi3s27dv16BBg5SQkKBzzjlHeXl5kqRRo0bxlm7HQFJSkvUIcDH6gyX6gyX6gyX6gyX6c446Ley33367goKCtH79eoWFhflOHz58uD755JN6Gw4HbN682XoEuBj9wRL9wRL9wRL9wRL9OUedDjr3n//8RzNnzlSbNm2qnN6pUyetW7euXgbD/xQUFKhZs2bWY8ClCgoKrEeAi9EfLNEfLNEfLNGfc9TpEfY9e/ZUeWS90rZt2xQSEvKrh0JVQUFB1iPAxegPlugPlugPlugPlujPOeq0sJ966ql65ZVXfB97PB5VVFRo4sSJOu200+ptOBzQs2dP6xHgYvQHS/QHS/QHS/QHS/TnHHVa2CdOnKjnn39egwcP1v79+3XnnXeqa9eu+vrrrzV+/Pj6ntH15syZYz0CXIz+YIn+YIn+YIn+YIn+nKNOC3tSUpKWLFmi3r1768wzz9SePXt0wQUXaOHChYqPj6/vGQEAAAAAcJ2jPuhcaWmpfvvb3+r555/Xgw8+eCxmwkFiY2NVUVFhPQZcKjY21noEuBj9wRL9wRL9wRL9OcdRP8IeFBSkpUuXyuPxHIt5UIOoqCjrEeBi9AdL9AdL9AdL9AdL9OccdXpK/FVXXaUXX3yxvmfBIaxatcp6BLgY/cES/cES/cES/cES/TlHnd6Hff/+/XrhhRf06aefKi0tTeHh4VXOnzx5cr0MBwAAAACAWx3Vwv7zzz8rLi5OS5cu9R3qf+XKlVUuw1Pl61+XLl20bds26zHgUl26dLEeAS5Gf7BEf7BEf7BEf85xVAt7p06dlJeXpy+++EKSNHz4cP3lL39R8+bNj8lwOIBlHZa2bdvG65hghv5gif5gif5gif6c46hew+71eqt8/O9//1t79uyp14FQHQs7LNEfLNEfLNEfLNEfLNGfc9TpoHOVDl7gcWw0aPCrfkzAr0J/sER/sER/sER/sER/znFUPwmPx1PtNeq8Zv3YS09Ptx4BLkZ/sER/sER/sER/sER/znFUr2H3er0aMWKEQkJCJEn79u3TjTfeWO0o8e+99179TQhlZWUpOjraegy4VFZWFnfaMEN/sER/sER/sER/znFUC/vVV19d5eMrrriiXodBzSoqKqxHgIvRHyzRHyzRHyzRHyzRn3Mc1cI+bdq0YzUHDqNZs2bWI8DF6A+W6A+W6A+W6A+W6M85OJqAH+AXBpboD5boD5boD5boD5bozzlY2P3A8uXLrUeAi9EfLNEfLNEfLNEfLNGfc7CwAwAAAADgQCzsfqBTp07WI8DF6A+W6A+W6A+W6A+W6M85WNj9wK5du6xHgIvRHyzRHyzRHyzRHyzRn3OwsPuBrVu3Wo8AF6M/WKI/WKI/WKI/WKI/52BhBwAAAADAgVjY/UCfPn2sR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gQULFliPABejP1iiP1iiP1iiP1iiP+dgYfcDpaWl1iPAxegPlugPlugPlugPlujPOVjY/UB0dLT1CHAx+oMl+oMl+oMl+oMl+nMOFnY/0KJFC+sR4GL0B0v0B0v0B0v0B0v05xws7H4gOzvbegS4GP3BEv3BEv3BEv3BEv05Bws7AAAAAAAOxMLuB+Lj461HgIvRHyzRHyzRHyzRHyzRn3OwsPuBPXv2WI8AF6M/WKI/WKI/WKI/WKI/52Bh9wObN2+2HgEuRn+wRH+wRH+wRH+wRH/OEWg9AGApPz9fhYWFvo8jIyMVExNjOBEAAAAAHMDC7gfS09O1Zs0a6zFOOPn5+brimlEq2F3sOy26UZhem/YCS/svpKenW48AF6M/WKI/WKI/WKI/5+Ap8X5gyZIl1iOckAoLC1Wwu1gxfS9U3JDRiul7oQp2F1d5xB30B1v0B0v0B0v0B0v05xws7H6gpKTEeoQTWnh0c0XGtlF4dHPrURyJ/mCJ/mCJ/mCJ/mCJ/pyDhd0PNG7c2HoEuBj9wRL9wRL9wRL9wRL9OQcLux9o27at9QhwMfqDJfqDJfqDJfqDJfpzDhZ2P/Djjz9ajwAXoz9Yoj9Yoj9Yoj9Yoj/nYGEHAAAAAMCBWNj9QIcOHaxHgIvRHyzRHyzRHyzRHyzRn3OcEAv7sGHD1KRJE1100UXWoxwT+/fvtx4BLkZ/sER/sER/sER/sER/znFCLOy33HKLXnnlFesxjplNmzZZjwAXoz9Yoj9Yoj9Yoj9Yoj/nOCEW9tNOO02NGjWyHgMAAAAAgHpjvrB//fXXOu+889SqVSt5PB7NmDGj2mWmTp2qDh06KDQ0VL169dI333xz/Ac11LNnT+sR4GL0B0v0B0v0B0v0B0v05xzmC/uePXvUvXt3PfPMMzWe/9Zbb+m2227Tn/70Jy1cuFCnnHKKBg8erPXr19fp65WUlKiwsLDKP6dbtmyZ9QhwMfqDJfqDJfqDJfqDJfpzjkDrAQYPHqzBgwcf8vzJkydr5MiRGjVqlCRpypQpmjlzpp599lk99thjR/31HnvsMT344IPVTp83b57Cw8PVs2dPLVu2THv37lWjRo3UoUMHLVmyRJLUvn17VVRUaMOGDZKk1NRUrV69WkVFRQoPD1dCQoIWLlwoSWrTpo0CAgK0bt06SVJKSorWrl2rwsJChYaGKjk5WfPnz5cktWrVSqGhofr5558lSV27dtXGjRu1c+dOBQcHq6SkRNu2bdPF5w/R9nCpPKBEKV2iteem27Q/ZKlWBSWqoEGM9p60W9JCDWg8QGF7w7QxaKMKYwu1bt06bdu2TZ07d1ZBQYHy8/PVoEEDpaena968eSovL1fTpk0VGxvr++Xs1KmTCgsLtWXLFklSnz59tGDBApWWlqpJkyZq1aqVfvrpJ0lSfHy8iouLlZeXJ0lKS0vT0qVLtW/fPkVFRaldu3a+93KMi4tTWVmZNm7cKOnAX++WL1+u4uJiRUREKD4+XosXL5YktWvXTpJ8f5zp3r27cnJyVFRUpLCwMHXp0kULFizw3d6BgYFau3atJKlbt25av369du3apdDQUHXt2lXz5s2TJLVs2VJhYWFat26dLj5/iJZ5pI6huxXZ2qPtvx0kSZozZ44kqXnz5oqMjNSqVaskSYmJidq6dau2b9+ugIAApaWlKSsrSxUVFYqJiVF0dLRWrFghSUpISNCOHTuUn58vj8ej3r17a/78+SorK1N0dLSaN2/uu707duyooqIibd68WZLUu3dvLVq0SPv371fjxo3Vpk0bLV26VJJ00kknad++fcrNzZUk9erVSz/99JP27dunyMhIxcXFVWm2vLzcd3v36NFDK1eu1J49exQREaGOHTtq0aJFkqS2bduqQYMGVZpds2aN7+skJib6bu/WrVsrODhYa9as8d3eGzZs0M6dOxUSEqKUlBRlZWVJklq0aKHw8HDl5ORIkpKSkrR582YVFBQoKChIPXv29N3esbGxioqK8t3eXbp00bZt27Rt2zZfs5W3d7NmzdSsWTMtX77c1+yuXbu0devWas1GR0erRYsWys7O9jW7Z88e3+2dnp6uJUuWqKSkRI0bN1bbtm19zXbo0EH79+/3vZbLifcRqampmjt3ru/2joiI0OrVq30/ty1btqigoECBgYHq1auX5s6dK6/Xq5iYGDVp0kQrV66UJEfeR1RUVOjHH380uY+obDY5OVm5ubnasWNHtWa5j1ij3bt3q2HDhifkfURubq727t3LfYSD7yMs/zviWN9HlJaW6ueff+Y+wsH3ESfyf0dU3v9xH3Hs7iP27NmjI+Hxer3eI7rkceDxePT+++9r6NChkg4cnTAsLExvv/22hg0b5rvcrbfeqkWLFumrr77ynfbll1/qmWee0TvvvHPYr1FSUqKSkhLfx4WFhWrbtq127dqlyMjI+v2G6kl2drZCQkJ0ybU3Km7IaEXGtlHusnla/epdei+jp7p1iJUkff7TFl38ykINuPcMtezYUrtyd2nF9BV6869vKj4+3vi7cJ6cnJwqt2nh1o1a+9FU/f2l57i9fiE7O1tJSUnWY8Cl6A+W6A+W6A+W6O/YKywsVFRUVK17qPkj7Iezbds2lZeXq3nz5lVOb968ue8vWpJ01llnacGCBdqzZ4/atGmj999/X+np6TVeZ0hIiEJCQo7p3PWtQ4cOvr+CAscb78MJS/QHS/QHS/QHS/TnHOavYT8SHo+nysder7fKaTNnzlR+fr6Ki4u1cePGQy7r/qryaTKABfqDJfqDJfqDJfqDJfpzDkcv7M2aNVNAQECVR9MlaevWrdUedQcAAAAA4ETi6IU9ODhYvXr10qefflrl9E8//VT9+vUzmur4a9++vfUIcDH6gyX6gyX6gyX6gyX6cw7z17AXFRX5jlQqSWvWrNGiRYsUHR2tdu3aacyYMbryyiuVlpamvn376q9//avWr1+vG2+80XDq46uiosJ6BLgY/cES/cES/cES/cES/TmH+cI+b948nXbaab6Px4wZI0m6+uqrNX36dA0fPlzbt2/XuHHjlJeXp65du+rjjz921V99NmzYoGbNmlmPAZfasGGDWrVqZT0GXIr+YIn+YIn+YIn+nMN8YR84cKBqe2e50aNHa/To0fX6dTMzM5WZmany8vJ6vV4AAAAAAOqDo1/DfixlZGQoOztbWVlZ1qPUKjU11XoEuBj9wRL9wRL9wRL9wRL9OYdrF3Z/8svX+APHG/3BEv3BEv3BEv3BEv05Bwu7HygqKrIeAS5Gf7BEf7BEf7BEf7BEf87Bwu4HwsPDrUeAi9EfLNEfLNEfLNEfLNGfc7Cw+4GEhATrEeBi9AdL9AdL9AdL9AdL9OccLOx+YOHChdYjwMXoD5boD5boD5boD5bozzlY2AEAAAAAcCAWdj/Qpk0b6xHgYvQHS/QHS/QHS/QHS/TnHK5d2DMzM5WUlKT09HTrUWoVEBBgPQJcjP5gif5gif5gif5gif6cw7ULe0ZGhrKzs5WVlWU9Sq3WrVtnPQJcjP5gif5gif5gif5gif6cw7ULOwAAAAAATsbC7gdSUlKsR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gbVr11qPABejP1iiP1iiP1iiP1iiP+dgYfcDhYWF1iPAxegPlugPlugPlugPlujPOVjY/UBoaKj1CHAx+oMl+oMl+oMl+oMl+nMOFnY/kJycbD0CXIz+YIn+YIn+YIn+YIn+nIOF3Q/Mnz/fegS4GP3BEv3BEv3BEv3BEv05Bws7AAAAAAAOFGg9AGrXqlUr7d+/v16uKz8/v8pBJPbv36/g4OAql4mMjFRMTEy9fD03OPg2PdFuv1atWlmPABejP1iiP1iiP1iiP+dw7cKemZmpzMxMlZeXW49Sq9DQ0HpZ2PPz83XFNaNUsLtYklS6f78KNyxT5/YtFRj4vxRCGjXVs9NeP6GWzmPl4NtUkqIbhem1aS+cMLcfBx2BJfqDJfqDJfqDJfpzDtc+JT4jI0PZ2dnKysqyHqVWP//8c71cT2FhoQp2Fyum74WKGzJaUSlnKKCiRLf0DdOUoS00ZWgLjT0lUiW7t/NWDkfo4Ns0pu+FKthdfELdfvXVH1AX9AdL9AdL9AdL9Occrn2E3c3Co5srMraNirZvliS1aRKq+OYRv7jEibNsHi+Vt6kk5RvPAgAAAODE4NpH2P1J165drUeAi9EfLNEfLNEfLNEfLNGfc7Cw+4GNGzdajwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3Azt37rQeAS5Gf7BEf7BEf7BEf7BEf87Bwu4HDn7bNeB4oj9Yoj9Yoj9Yoj9Yoj/nYGH3A6mpqdYjwMXoD5boD5boD5boD5bozzlY2P3A3LlzrUeAi9EfLNEfLNEfLNEfLNGfc7CwAwAAAADgQLwPux9o0aKFysrKrMfwyc/PV2Hh/96rPTIyUjExMYYT4Vhq0aKF9QhwMfqDJfqDJfqDJfpzDtcu7JmZmcrMzFR5ebn1KLWKiIhwzJEa8/PzdcU1o1Swu9h3WnSjML027QWW9hNURESE9QhwMfqDJfqDJfqDJfpzDtc+JT4jI0PZ2dnKysqyHqVWq1evth7Bp7CwUAW7ixXT90LFDRmtmL4XqmB3cZVH3HFicVJ/cB/6gyX6gyX6gyX6cw7XPsKOXyc8urkiY9tIkvKNZwEAAACAE5FrH2H3J4mJidYjwMXoD5boD5boD5boD5bozzlY2P3Ali1brEeAi9EfLNEfLNEfLNEfLNGfc7Cw+4GCggLrEeBi9AdL9AdL9AdL9AdL9OccLOx+IDCQQw3ADv3BEv3BEv3BEv3BEv05Bwu7H+jVq5f1CHAx+oMl+oMl+oMl+oMl+nMOFnY/MHfuXOsR4GL0B0v0B0v0B0v0B0v05xws7H7A6/VajwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3AzExMdYjwMXoD5boD5boD5boD5bozzlY2P1AkyZNrEeAi9EfLNEfLNEfLNEfLNGfc7Cw+4GVK1dajwAXoz9Yoj9Yoj9Yoj9Yoj/n4Hj9MJGfn6/CwkLfx5GRkUf91Jv6uA4AAAAAcCrXLuyZmZnKzMxUeXm59Si16ty5s7Zv3249Rr3Jz8/XFdeMUsHuYt9p0Y3C9Nq0F4544a6P68CR6dy5s/UIcDH6gyX6gyX6gyX6cw7XPiU+IyND2dnZysrKsh6lVgUFBdYj1KvCwkIV7C5WTN8LFTdktGL6XqiC3cVVHi0/HteBI3Oi9Qf/Qn+wRH+wRH+wRH/O4dqF3Z/k5+dbj3BMhEc3V2RsG4VHNze9Dhzeidof/AP9wRL9wRL9wRL9OQcLux9o0IAfE+zQHyzRHyzRHyzRHyzRn3Pwk/AD6enp1iPAxegPlugPlugPlugPlujPOVjY/cC8efOsR4CL0R8s0R8s0R8s0R8s0Z9zsLD7AX84kj1OXPQHS/QHS/QHS/QHS/TnHCzsfqBp06bWI8DF6A+W6A+W6A+W6A+W6M85WNj9QGxsrPUIcDH6gyX6gyX6gyX6gyX6cw4Wdj+wbNky6xHgYvQHS/QHS/QHS/QHS/TnHCzsAAAAAAA4EAu7H+jUqZP1CHAx+oMl+oMl+oMl+oMl+nMOFnY/UFhYaD0CXIz+YIn+YIn+YIn+YIn+nIOF3Q9s2bLFegS4GP3BEv3BEv3BEv3BEv05Bws7AAAAAAAOxMLuB/r06WM9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhd0PLFiwwHoEHGP5+fnKycnx/cvPz7ceyYf+YIn+YIn+YIn+YIn+nCPQegArmZmZyszMVHl5ufUotSotLbUeAcdQfn6+rrhmlAp2F/tOi24UptemvaCYmBjDyQ6gP1iiP1iiP1iiP1iiP+dw7SPsGRkZys7OVlZWlvUotWrSpIn1CDiGCgsLVbC7WDF9L1TckNGK6XuhCnYXO+bonPQHS/QHS/QHS/QHS/TnHK5d2P1Jq1atrEfAcRAe3VyRsW0UHt3cepQq6A+W6A+W6A+W6A+W6M85WNj9wE8//WQ9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhR0AAAAAAAdiYfcD8fHx1iPAxegPlugPlugPlugPlujPOVjY/UBxcXHtFwKOEfqDJfqDJfqDJfqDJfpzDhZ2P5CXl2c9AlyM/mCJ/mCJ/mCJ/mCJ/pyDhR0AAAAAAAdiYfcDaWlp1iPAxegPlugPlugPlugPlujPOVjY/cDSpUutR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gX379lmPABejP1iiP1iiP1iiP1iiP+dgYfcDUVFR1iPAxegPlugPlugPlugPlujPOVjY/UC7du2sR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gR9//NF6BLgY/cES/cES/cES/cES/TkHCzsAAAAAAA7Ewu4H4uLirEeAi9EfLNEfLNEfLNEfLNGfc7Cw+4GysjLrEeBi9AdL9AdL9AdL9AdL9OccLOx+YOPGjdYjwMXoD5boD5boD5boD5bozzlY2AEAAAAAcCAWdj/Qs2dP6xHgYvQHS/QHS/QHS/QHS/TnHCzsfmD58uXWI8DF6A+W6A+W6A+W6A+W6M85XLuwZ2ZmKikpSenp6daj1Kq4uNh6BLgY/cES/cES/cES/cES/TmHaxf2jIwMZWdnKysry3qUWkVERFiPABejP1iiP1iiP1iiP1iiP+dw7cLuT+Lj461HgIvRHyzRHyzRHyzRHyzRn3OwsPuBxYsXW48AF6M/WKI/WKI/WKI/WKI/52BhBwAAAADAgVjY/UC7du2sR4CL0R8s0R8s0R8s0R8s0Z9zsLADAAAAAOBALOx+YP369dYjwMXoD5boD5boD5boD5bozzlY2AEAAAAAcCAWdj/QvXt36xHgYvQHS/QHS/QHS/QHS/TnHCzsfiAnJ8d6BLgY/cES/cES/cES/cES/TkHC7sfKCoqsh4BLkZ/sER/sER/sER/sER/zsHC7gfCwsKsR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gS5duliPABejP1iiP1iiP1iiP1iiP+dgYfcDCxYssB4BLkZ/sER/sER/sER/sER/zsHCDgAAAACAA7Gw+4E2bdpYjwAXoz9Yoj9Yoj9Yoj9Yoj/nYGH3A4GBgdYjwMXoD5boD5boD5boD5bozzlY2P3A2rVrrUeAi9EfLNEfLNEfLNEfLNGfc7CwAwAAAADgQCzsfqBbt27WI8DF6A+W6A+W6A+W6A+W6M85WNj9wPr1661HgIvRHyzRHyzRHyzRHyzRn3OwsPuBXbt2WY8AF6M/WKI/WKI/WKI/WKI/52Bh9wOhoaHWI8DF6A+W6A+W6A+W6A+W6M85WNj9QNeuXa1HgIvRHyzRHyzRHyzRHyzRn3OwsPuBefPmWY8AF6M/WKI/WKI/WKI/WKI/52BhBwAAAADAgVjY/UDLli2tR4CL0R8s0R8s0R8s0R8s0Z9zsLD7gbCwMOsR4GL0B0v0B0v0B0v0B0v05xws7H4gJyfHegS4GP3BEv3BEv3BEv3BEv05R6D1AADqR35+vgoLC30fR0ZGKiYm5ldfB/zfwT9XqW59nChzAG7B7xwA+D/XLuyZmZnKzMxUeXm59Si1Sk5O1pYtW6zHgIPl5+frimtGqWB3se+06EZhem3aC0f8H2aHuo6/TX263ufF8VPTz1U6+j6s5khOTj4e4wE18uf+nPK7j7rz5/7g/+jPOVy7sGdkZCgjI0OFhYWKioqyHuewcnNzFRAQYD0GHKywsFAFu4sV0/dChUc3156CLcr//l0VFhYe8X+UHeo6cnNz1a5du2P8HeBYOfjnKqlOfVjNkZubq4SEhOMyI3Awf+7PKb/7qDt/7g/+j/6cw7ULuz/ZsWOHmjVrZj0G/EB4dHNFxraRJOXX03UUFxcf/hPgF375c5Xq3sfxnmPHjh3HdiDgME6E/pzyu4+jdyL0B/9Ff87BQef8QFBQkPUIcDGe3QFL3P/BEv3BEv3BEv05Bwu7H+jZs6f1CHCxNm3a1H4h4Bjh/g+W6A+W6A+W6M85WNj9wJw5c6xHgIutW7fOegS4GPd/sER/sER/sER/zsHCDgAAAACAA7Gw+4HmzZtbjwAXa9SokfUIcDHu/2CJ/mCJ/mCJ/pyDhd0PREZGWo8AFwsNDbUeAS7G/R8s0R8s0R8s0Z9zsLD7gVWrVlmPABfLz+dNgGCH+z9Yoj9Yoj9Yoj/nYGEHAAAAAMCBWNj9QGJiovUIcDFewwRL3P/BEv3BEv3BEv05Bwu7H9i6dav1CHCxoqIi6xHgYtz/wRL9wRL9wRL9OQcLux/Yvn279QhwsT179liPABfj/g+W6A+W6A+W6M85WNj9QEBAgPUIcLEGDbibgB3u/2CJ/mCJ/mCJ/pyD/xL3A2lpadYjwMXatm1rPQJcjPs/WKI/WKI/WKI/52Bh9wNZWVnWI8DF1q9fbz0CXIz7P1iiP1iiP1iiP+dgYfcDFRUV1iPAxbxer/UIcDHu/2CJ/mCJ/mCJ/pyDhd0PxMTEWI8AF4uIiLAeAS7G/R8s0R8s0R8s0Z9zsLD7gejoaOsR4GJhYWHWI8DFuP+DJfqDJfqDJfpzDhZ2P7BixQrrEeBivA8nLHH/B0v0B0v0B0v05xws7AAAAAAAOBALux9ISEiwHgEuxmuYYIn7P1iiP1iiP1iiP+dgYfcDO3bssB4BLrZ3717rEeBi3P/BEv3BEv3BEv05Bwu7H8jPz7ceAS5WVFRkPQJcjPs/WKI/WKI/WKI/52Bh9wMej8d6BLgY/cES/cES/cES/cES/TkHC7sf6N27t/UIcLF27dpZjwAX4/4PlugPlugPlujPOVjY/cD8+fOtR4CLbdiwwXoEuBj3f7BEf7BEf7BEf87Bwu4HysrKrEeAi1VUVFiPABfj/g+W6A+W6A+W6M85WNj9QHR0tPUIcLGwsDDrEeBi3P/BEv3BEv3BEv05Bwu7H2jevLn1CHCxRo0aWY8AF+P+D5boD5boD5bozzlY2P3AsmXLrEeAi23ZssV6BLgY93+wRH+wRH+wRH/OwcIOAAAAAIADsbD7gY4dO1qPABdr1qyZ9QhwMe7/YIn+YIn+YIn+nIOF3Q8UFRVZjwAXKykpsR4BLsb9HyzRHyzRHyzRn3OwsPuBzZs3W48AF9u9e7f1CHAx7v9gif5gif5gif6cg4UdAAAAAAAHYmH3A71797YeAS7Wrl076xHgYtz/wRL9wRL9wRL9OQcLux9YtGiR9QhwsdzcXOsR4GLc/8ES/cES/cES/TkHC7sf2L9/v/UIcLGysjLrEeBi3P/BEv3BEv3BEv05Bwu7H2jcuLH1CHCxhg0bWo8AF+P+D5boD5boD5bozzlY2P1AmzZtrEeAi0VFRVmPABfj/g+W6A+W6A+W6M85WNj9wNKlS61HgIvxth6wxP0fLNEfLNEfLNGfc7CwAwAAAADgQCzsfuCkk06yHgEu1rRpU+sR4GLc/8ES/cES/cES/TkHC7sf2Ldvn/UIcDGOEg9L3P/BEv3BEv3BEv05Bwu7H+B9sGFp165d1iPAxbj/gyX6gyX6gyX6c44TYmH/8MMP1blzZ3Xq1EkvvPCC9TgAAAAAAPxqfr+wl5WVacyYMfr888+1YMECjR8/XgUFBdZj1atevXpZjwAXa9u2rfUIcDHu/2CJ/mCJ/mCJ/pzD7xf2uXPnKjk5Wa1bt1ajRo10zjnnaObMmdZj1auffvrJegS4GG/rBkvc/8ES/cES/cES/TmH+cL+9ddf67zzzlOrVq3k8Xg0Y8aMapeZOnWqOnTooNDQUPXq1UvffPON77zc3Fy1bt3a93GbNm20adOm4zH6ccNBH2CptLTUegS4GPd/sER/sER/sER/zhFoPcCePXvUvXt3XXPNNbrwwgurnf/WW2/ptttu09SpU9W/f389//zzGjx4sLKzs9WuXTt5vd5qn+PxeA759UpKSlRSUuL7uLCwsH6+kWMoMjLSeoTDKt2/X+vWratyWmRkpGJiYlw5x4kmNDT0uH/N/Pz8Kr+bdfk5OuU66oNT5rBwLO7/Dr49K7+OW25Tp3Liz8Xp//8XJzb6g6XAwEDl5OT4Pua/geyYL+yDBw/W4MGDD3n+5MmTNXLkSI0aNUqSNGXKFM2cOVPPPvusHnvsMbVu3brKI+obN25Unz59Dnl9jz32mB588MFqp8+bN0/h4eHq2bOnli1bpr1796pRo0bq0KGDlixZIklq3769KioqtGHDBklSamqqVq9eraKiIoWHhyshIUELFy6UdOCR/oCAAN8CmZKSorVr16qwsFChoaFKTk7W/PnzJUmtWrVSaGiofv75Z0lS165dtXHjRu3cuVPBwcHq3LmzfvjhB118/hBtD5fKA0qU0iVae266TftDlmpVUKIKGsRo70m7JS3UgMYDFLY3TBuDNqowtlDr1q3Ttm3bFB4errTUFHVt7VGD4AJ9IOmya2/S5naxahi4S7HleVrXvL/OPH+fiouLtXbtWm3ZskWS1KdPHy1YsEA7d+5Uv/Re2h0k9Q7frpLmZdoeVKr335ymTondJEmff/iO+p15vn7T/xTFxsaqXbt2+vHHHyVJcXFx2rVrly4+f4jCmnu0pLRCvWI86n3+EG3evFmtW7fW4sWLJUnt2rWTJK1fv16S1L17d+Xk5KioqEilpaUKCQ7WwNYeBQZvV3ZQsXaFSUsWzNXSRfM0+/N/q3PXHopp1U5pvX+j9PR0zZs3T5LUsmVLhYWFad26dbr4/CFa5pE6hu5WZGuPtv92kCRpzpw5kqTmzZsrMjJSq1atkiQlJiZq69at2r59uwICAtSkSRNdcO7Zimzl0Y4GRdoQIvU+f4jWrVun6Oho7dixQ/n5+fJ4POrdu7fmz5+vsrIyRUdHq3nz5lq2bJn27Nmjtq1aKj5K6hC+XWWtPXrZ49GmTZu0bds2NW7cWG3atNHSpUslHXhfzH379vmO3tmrVy/l5ubq4vOHqCTKozxPuXq29qj4/CHavXu3Nm3apI0bN0qSevTooZUrV2rPnj2KiIhQx44dtWjRIklSUFCQOp0Up/7/vU2/C5BO6/8bFRcXa8mSJUpMTNSCBQskSa1bt1ZwcLDWrFkjSerWrZs2bNignTt3KiQkRCkpKcrKypIktWjRQuHh4b47/aSkJG3evFkFBQUKCgpSz549fbd3bGysvF6vPvjwI5WWleur2XPUvk1rdTqpvdJ69tDJJ5+srKwsVVRUqFmzZmrWrJmWL18uSerUqZN27dqlrVu3av/+/Xp4/BM6uV8/hYaGaENunrbk5SnjhlEKCQlRfHy89uzZ43u6f3p6upYsWaKSkhI1btxYbdu21bx587Rg0WJ9P2+hGoaGKrlLgoICA3TJxb/X1q1bj9t9RElJid5+b4Y2b9uh3j27S5LmZs3T3f83RqWlpQoODlZqaqrmzp3ru70jIiK0evVqSVJERIR+k9ZDXVp7pKAdWlDcRKe2OvA7t337dkVHR2vlypWSpM6dO6ugoED5+flq0KCB7/emvLxcTZs2VWxsrJYtW+a7vQsLC6vdR5SWlqpJkyZq1aqV7+l08fHx2rFjh+/3flGpV13DdimwtUc/9+2t/fv3+xqIi4tTWVnZ/7d351FR3ef/wN+DI4uyKNsAsmNQEIIsLrjEtVpNVdrU5afHoFFPaYyaok2jxsSoiabR1mPcYjSSfD3V6hGNqZiKjWBSUVlEJaAxCmIUgiiyjOKwzO8PnVvHGVaBz4V5v86Zk8xnPvfOw/D4MM/93Lkj5WxAQAAuXbqEBw8ewNraGn5+fo2qEV26dEHv3r2lnHV3d4dSqcSVK1eQkXkBXx//Fn2DAuHi7ITyigqkpWfg7cVvwsLCQqoRupzt06cPbt++jZKSEoOcbahGRERESDnr5OQEe3t7XLlyBQDg7+/fqBoBAD179kRFRYWUs/3790dmZiY0Gk2jasQPP/yAyspK2NrawtvbWy9na2pqGlUjPDw8YGZmppezubm5KC8vh5WV1XPViKqqKvwr4Riqqmvwn1P/hX9PX3i4uaK2phqvzYqW/j46OzvDzs5Oer179+6N4uJiFBcXSznbmBrxbM7a29vDxcUF2dnZUs6q1WqUlJTg7NmzRmuE7u+aj48PNBqN9F5ELu8jioqKMGXSyzBzUCBbq0X/rvdQ3UOBzKAAqNVqKYcDAgLwyy+/4N69e1AqlQgPD8e5c+eg1Wrh5OSE7t27t0mNePDgAQoKCgAAERERyMrKQmVlJezs7AzeRzxdI8LCwnD58uUWqxF5eXlSzubn56O0tBSWlpYICgoyeB/R2jXCy8sL169fZ41o4vuItqwR9b2PkHuNeLrXePZ9RHV1NVLOnMXDRxp8+91p9PT1hp+XB/qFh2Hw4MFtViMyMjKQkXkB359Nh62NNQL8e6KzshP+39QpKCwsbPc1Qq1WozEUWmNL1IIoFAocOnQIUVFRAACNRoMuXbrgwIED+O1vfyvNW7RoETIzM5GcnIzq6moEBAQgKSkJtra2CAsLw5kzZ+Dg4GD0OYytsHt4eKC0tFS2RzLPnj0LR0dHTHstBt4vvw5bZ3fczknDT//3NuLnhyHYxxkA8O0Pv2DKl+cx7J3RcO3pitLbpbgSdwV7d+yFn58frl271uA+rv1SgTcPF2Lj5/vh5+dnEEtd+9g0PRD+PewBADfvPsCG78oavY+yop+Rd3Qr9n2+3eh8Y+QaR0fcx0fvLcXIkSMbtY+WoIvDKfIVdLVXQX3vF9xJOdisn0X0PlrC88bx7O8VQLPy43k1N46zZ8/WexC2uXHoXk8Awn639D9y/b20dP61Jbn826fma8/5R+3btWvXEP/V1zhZZNmu3wPJXVlZGezs7BrsQ4WvsNenuLgYNTU1UKlUeuMqlUo6oqVUKrFhwwaMGDECtbW1eOutt+ps1gHAwsICFhYWrRq3KXLvbgk/lfVTI2I+aiCXOOj5dbVXSW8y77TzfbQEucTRUTz9egJ8TeWCvxciIvmQy3sPucQhiqwbdp1nP5Ou1Wr1xiZOnIiJEye2dVhtxsvLq9GnTBC1NHt7e9EhkAnz8vISHQKZMOYficT8I5EyLmYBgcxBORB+lfj6ODo6olOnTgZfK1VUVGSw6t6R1dTUiA6BTFhtba3oEMiEsf6RSMw/Eon5RyJ1VraLdV2TIOuG3dzcHOHh4UhMTNQbT0xMxKBBgwRF1fZ0F00gEuH+/fuiQyATxvpHIjH/SCTmH4kUHNhbdAj0hPBDJxUVFdLVjAEgNzcXmZmZsLe3h6enJ2JjYzFz5kxEREQgMjISO3bsQH5+PmJiYgRGTURERERERNS6hDfsaWlpGDFihHQ/NjYWABAdHY24uDhMnToVd+/exapVq1BQUICgoCAkJCSY1Od6QkNDpa93IGprPXr0EB0CmbDQ0FDRIZAJY/6RSMw/EunIv0/AZdQc0WEQZHBK/PDhw6HVag1ucXFx0pzXX38deXl5ePToEdLT0/HSSy899/Nu2bIFgYGB6Nev33Pvq7XpvtuQSIQ7d0zxepwkF6x/JBLzj0Ri/pFIQwbIv0cyFcIbdlHmz5+P7OxspKamig6lQbxCPImk0WhEh0AmjPWPRGL+kUjMPxLJvpud6BDoCZNt2NsTa2vrhicRtRILCwvRIZAJY/0jkZh/JBLzj0S6W1IiOgR6gg17O9CzZ0/RIZAJc3R0FB0CmTDWPxKJ+UciMf9IpNPnMkSHQE+wYW8HMjMzRYdAJuzWrVuiQyATxvpHIjH/SCTmH4k0Yewo0SHQE2zYiYiIiIiIiGSIDXs74OHhIToEMmHdunUTHQKZMNY/Eon5RyIx/0ikCz/kiA6BnmDD3g6YmfHXROIoFArRIZAJY/0jkZh/JBLzj0Sqra0VHQI9wUrQDty4cUN0CGTCSniVUBKI9Y9EYv6RSMw/Eik0uI/oEOgJk23Yt2zZgsDAQPTr1090KEREREREREQGTLZhnz9/PrKzs5Gamio6lAa9+OKLokMgE+bm5iY6BDJhrH8kEvOPRGL+kUgJJ5JEh0BPmGzD3p7k5uaKDoFM2N27d0WHQCaM9Y9EYv6RSMw/Eqlf32DRIdATbNjbgfLyctEhkAl79OiR6BDIhLH+kUjMPxKJ+UciOTk6iA6BnmDD3g5YWVmJDoFMWOfOnUWHQCaM9Y9EYv6RSMw/Eqm0jAeM5IINezsQEBAgOgQyYSqVSnQIZMJY/0gk5h+JxPwjkU5+nyI6BHqCDXs7kJGRIToEMmE///yz6BDIhLH+kUjMPxKJ+UciRY0fIzoEekIpOgDRtFotAKCsrExwJHVTq9WwsLBATXU1qiofQPOwAtWPHqK2VouKymqUPah6PO9RNWprtah6WAWNWgPNQw1qqmtQXl6OsrIylJeXN7iP8soqVD21zbNaYx9VlQ9QU11d53xj5BpHR9yHWq1u038fcn89mrKPlvC8cTy7PQAhP0tz42jp/JPL60H65Pp7aev615Lk+ppS47Xn/KP2rby8HJWVlaiqbt/vgeRO9zPo+tG6KLQNzejgfv75Z3h4eIgOg4iIiIiIiEzMzZs34e7uXufjJt+w19bW4vbt27CxsYFCoRAdjoGysjJ4eHjg5s2bsLW1FR0OmRjmH4nE/CORmH8kEvOPRGL+tQ2tVovy8nK4ubnBzKzuT6qb/CnxZmZm9R7RkAtbW1v+gyFhmH8kEvOPRGL+kUjMPxKJ+df67OzsGpzDi84RERERERERyRAbdiIiIiIiIiIZYsMucxYWFnjvvfdgYWEhOhQyQcw/Eon5RyIx/0gk5h+JxPyTF5O/6BwRERERERGRHHGFnYiIiIiIiEiG2LATERERERERyRAbdiIiIiIiIiIZYsNOREREREREJENs2GVg69at8PHxgaWlJcLDw/Hdd9/VOz85ORnh4eGwtLSEr68vtm/f3kaRUkfUlPxLSkqCQqEwuF2+fLkNI6aO4tSpU5gwYQLc3NygUChw+PDhBrdh/aOW0tT8Y/2jlrJ27Vr069cPNjY2cHZ2RlRUFK5cudLgdqx/1BKak3+sf2KxYRfsn//8J958800sX74c58+fx9ChQzFu3Djk5+cbnZ+bm4vx48dj6NChOH/+PJYtW4aFCxfi4MGDbRw5dQRNzT+dK1euoKCgQLq98MILbRQxdSRqtRohISHYvHlzo+az/lFLamr+6bD+0fNKTk7G/PnzcebMGSQmJqK6uhpjxoyBWq2ucxvWP2opzck/HdY/Mfi1boINGDAAYWFh2LZtmzQWEBCAqKgorF271mD+X/7yFxw5cgQ5OTnSWExMDC5cuICUlJQ2iZk6jqbmX1JSEkaMGIGSkhJ069atDSOljk6hUODQoUOIioqqcw7rH7WWxuQf6x+1ljt37sDZ2RnJycl46aWXjM5h/aPW0pj8Y/0TiyvsAmk0GqSnp2PMmDF642PGjMHp06eNbpOSkmIwf+zYsUhLS0NVVVWrxUodT3PyTyc0NBSurq4YNWoUTp482ZphEklY/0gOWP+opZWWlgIA7O3t65zD+ketpTH5p8P6JwYbdoGKi4tRU1MDlUqlN65SqVBYWGh0m8LCQqPzq6urUVxc3GqxUsfTnPxzdXXFjh07cPDgQcTHx6NXr14YNWoUTp061RYhk4lj/SORWP+oNWi1WsTGxmLIkCEICgqqcx7rH7WGxuYf659YStEB0ONT8Z6m1WoNxhqab2ycqDGakn+9evVCr169pPuRkZG4efMm1q9fX+dpVEQtifWPRGH9o9bwxhtv4OLFi/j+++8bnMv6Ry2tsfnH+icWV9gFcnR0RKdOnQxWM4uKigyOouq4uLgYna9UKuHg4NBqsVLH05z8M2bgwIG4evVqS4dHZID1j+SG9Y+ex4IFC3DkyBGcPHkS7u7u9c5l/aOW1pT8M4b1r+2wYRfI3Nwc4eHhSExM1BtPTEzEoEGDjG4TGRlpMP/48eOIiIhA586dWy1W6niak3/GnD9/Hq6uri0dHpEB1j+SG9Y/ag6tVos33ngD8fHx+Pbbb+Hj49PgNqx/1FKak3/GsP61HZ4SL1hsbCxmzpyJiIgIREZGYseOHcjPz0dMTAwAYOnSpbh16xa+/PJLAI+vCLp582bExsZi3rx5SElJwa5du7B3716RPwa1U03Nv40bN8Lb2xt9+vSBRqPBnj17cPDgQX6tDDVLRUUFfvrpJ+l+bm4uMjMzYW9vD09PT9Y/alVNzT/WP2op8+fPxz/+8Q989dVXsLGxkVbO7ezsYGVlBYDv/6j1NCf/WP8E05JwW7Zs0Xp5eWnNzc21YWFh2uTkZOmx6Oho7bBhw/TmJyUlaUNDQ7Xm5uZab29v7bZt29o4YupImpJ/H330kdbPz09raWmp7d69u3bIkCHao0ePCoiaOoKTJ09qARjcoqOjtVot6x+1rqbmH+sftRRjeQdAu3v3bmkO6x+1lubkH+ufWPwediIiIiIiIiIZ4mfYiYiIiIiIiGSIDTsRERERERGRDLFhJyIiIiIiIpIhNuxEREREREREMsSGnYiIiIiIiEiG2LATERERERERyRAbdiIiIiIiIiIZYsNOREREREREJuPUqVOYMGEC3NzcoFAocPjw4SZtX1lZiVmzZiE4OBhKpRJRUVFG5yUnJyM8PByWlpbw9fXF9u3bmxwrG3YiIiJ6LklJSVAoFLh//36rP9fdu3fh7OyMvLy8Vn+u+mzevBkTJ04UGgMRETWPWq1GSEgINm/e3Kzta2pqYGVlhYULF2L06NFG5+Tm5mL8+PEYOnQozp8/j2XLlmHhwoU4ePBgk56LDTsREVEzzJo1q84j6nKQl5cHhUKBzMzMOuekp6dDoVDg+++/N/r42LFjZdeUrl27FhMmTIC3tzeA+g8W9O3bFytXrpTunz9/Hr/5zW/g7OwMS0tLeHt7Y+rUqSguLgbwv9dMd7OxsUGfPn0wf/58XL16VW/f8+bNQ2pqap2vHRERyde4ceOwZs0a/O53vzP6uEajwVtvvYUePXqga9euGDBgAJKSkqTHu3btim3btmHevHlwcXExuo/t27fD09MTGzduREBAAObOnYvXXnsN69evb1KsbNiJiIg6GI1G06h54eHhCAkJwe7duw0eu3nzJk6cOIE5c+a0dHjN9vDhQ+zatQtz585t8rZFRUUYPXo0HB0d8e9//xs5OTn4/PPP4erqigcPHujNPXHiBAoKCnDhwgV8+OGHyMnJQUhICP7zn/9IcywsLDB9+nR88sknz/1zERGRvMyePRv//e9/sW/fPly8eBGTJ0/Gr3/9a4ODt/VJSUnBmDFj9MbGjh2LtLQ0VFVVNXo/bNiJiIhawPDhw7FgwQK8+eab6N69O1QqFXbs2AG1Wo3Zs2fDxsYGfn5+OHbsmLSNbnX46NGjCAkJgaWlJQYMGIBLly7p7fvgwYPo06cPLCws4O3tjQ0bNug97u3tjTVr1mDWrFmws7PDvHnz4OPjAwAIDQ2FQqHA8OHDjcY9Z84c7N+/H2q1Wm88Li4OTk5OePnll7Fnzx5ERETAxsYGLi4umD59OoqKiup8LVauXIm+ffvqjW3cuFFaFdfZvXs3AgICYGlpid69e2Pr1q117hMAjh07BqVSicjIyHrnGXP69GmUlZVh586dCA0NhY+PD0aOHImNGzfC09NTb66DgwNcXFzg6+uLSZMm4cSJExgwYADmzJmDmpoaad7EiRNx+PBhPHz4sMnxEBGRPF27dg179+7FgQMHMHToUPj5+WHJkiUYMmSI0QPcdSksLIRKpdIbU6lUqK6uls7sagw27ERERC3kiy++gKOjI86dO4cFCxbgj3/8IyZPnoxBgwYhIyMDY8eOxcyZMw1WdP/85z9j/fr1SE1NhbOzMyZOnCgdfU9PT8eUKVMwbdo0XLp0CStXrsSKFSsQFxent4+PP/4YQUFBSE9Px4oVK3Du3DkA/1stjo+PNxrzjBkzUFVVhQMHDkhjWq0WcXFxiI6OhlKphEajwerVq3HhwgUcPnwYubm5mDVr1nO9Vp999hmWL1+ODz74ADk5Ofjwww+xYsUKfPHFF3Vuc+rUKURERDTr+VxcXFBdXY1Dhw5Bq9U2aVszMzMsWrQIN27cQHp6ujQeERGBqqoq6bUmIqL2LyMjA1qtFv7+/rC2tpZuycnJuHbtWpP2pVAo9O7r/v48O14fZZOekYiIiOoUEhKCd955BwCwdOlSrFu3Do6Ojpg3bx4A4N1338W2bdtw8eJFDBw4UNruvffew69+9SsAj5t+d3d3HDp0CFOmTMHf/vY3jBo1CitWrAAA+Pv7Izs7Gx9//LFe0zxy5EgsWbJEuq+7KJtutbgu9vb2iIqKwu7du6X9JSUl4fr163jttdcAQPovAPj6+mLTpk3o378/KioqYG1t3azXavXq1diwYYP0+UEfHx9kZ2fj008/RXR0tNFt8vLy4Obm1qznGzhwIJYtW4bp06cjJiYG/fv3x8iRI/Hqq68arIAY07t3bymG/v37A3j8GcZu3bohLy8Pw4YNa1ZcREQkL7W1tejUqRPS09PRqVMnvcea8jfPxcUFhYWFemNFRUVQKpVwcHBo9H64wk5ERNRCXnzxRen/O3XqBAcHBwQHB0tjusbw2dPJnz7F297eHr169UJOTg4AICcnB4MHD9abP3jwYFy9elXv9OzmrjwDj0+LP3XqFH766ScAwOeff47BgwejV69eAB5frG3SpEnw8vKCjY2NdHp9fn5+s57vzp07uHnzJubMmaO3erFmzZp6Vy8ePnwIS0vLZj0nAHzwwQcoLCzE9u3bERgYiO3bt6N3794GH0Ewpq5VESsrK4MzJoiIqP0KDQ1FTU0NioqK0LNnT71bfQfAnxUZGYnExES9sePHjyMiIgKdO3du9H7YsBMREbWQZ/8AKxQKvTFds1dbW9vgvnRztVptnafUPa1r165Njldn9OjR8PLyQlxcHMrKyhAfHy9dbE6tVmPMmDGwtrbGnj17kJqaikOHDgGo++J2ZmZmBjE+fYEd3c//2WefITMzU7plZWXhzJkzdcbp6OiIkpISvTFbW1sAQGlpqcH8+/fvw87OTm/MwcEBkydPxoYNG5CTkwM3N7dGXbFXdwBFd20AnXv37sHJyanB7YmISD4qKiqkvz3A469gy8zMRH5+Pvz9/TFjxgy8+uqriI+PR25uLlJTU/HRRx8hISFB2kd2djYyMzNx7949lJaW6u0PAGJiYnDjxg3ExsZKFzrdtWuX3tlwjcFT4omIiAQ7c+aMdOGzkpIS/Pjjj9Ip2IGBgQZfHXb69Gn4+/sbnKr3NHNzcwDQW4Wvi0KhwOzZs7Fz5064u7vDzMwMU6ZMAQBcvnwZxcXFWLduHTw8PAAAaWlp9e7PyckJhYWFegcbnn4To1Kp0KNHD1y/fh0zZsxoMD6d0NBQ7NmzR2/shRdegJmZGVJTU+Hl5SWNFxQU4NatW9JZAsaYm5vDz8/P4IJ7z6qtrcWmTZvg4+OD0NBQafzatWuorKzUGyMiIvlLS0vDiBEjpPuxsbEAgOjoaMTFxWH37t1Ys2YNFi9ejFu3bsHBwQGRkZEYP368tM348eNx48YN6b7ub4HugLWPjw8SEhLwpz/9CVu2bIGbmxs2bdqEV155pUmxsmEnIiISbNWqVXBwcIBKpcLy5cvh6Ogofcf74sWL0a9fP6xevRpTp05FSkoKNm/e3OAV1Z2dnWFlZYVvvvkG7u7usLS0NFhtftrs2bOxatUqLFu2DNOmTZNW7D09PWFubo5PPvkEMTExyMrKwurVq+t97uHDh+POnTv461//it///vf45ptvcOzYMWk1HHh8JfmFCxfC1tYW48aNw6NHj5CWloaSkhLpjdOzxo4di6VLl6KkpATdu3cHANjY2OAPf/gDFi9eDKVSiZCQENy+fRvLly9HQECA9JU6//rXv7Bv3z5MmzYN/v7+0Gq1+Prrr5GQkGBw1d+7d++isLAQDx48QFZWFjZu3Ihz587h6NGjegdJvvvuO/j6+sLPz6/e14OIiORl+PDh9V6AtHPnznj//ffx/vvv1zlHd62Y+gwbNgwZGRnNCVHCU+KJiIgEW7duHRYtWoTw8HAUFBTgyJEj0gp5WFgY9u/fj3379iEoKAjvvvsuVq1a1eBV2pVKJTZt2oRPP/0Ubm5umDRpUr3zPT09MXr0aJSUlOhdZM7JyQlxcXE4cOAAAgMDsW7dugZPIQ8ICMDWrVuxZcsWhISE4Ny5cwanAM6dOxc7d+5EXFwcgoODMWzYMMTFxRmccv604OBgREREYP/+/Xrjf//73zF37lwsW7YMffr0wYwZM+Dj44Pjx49DqXy8NhEYGIguXbpg8eLF6Nu3LwYOHIj9+/dj586dmDlzpt7+Ro8eDVdXVwQHB+Ptt99GQEAALl68qLcaAwB79+6VLihIRETUGhTapn63CREREbWIpKQkjBgxAiUlJejWrZvocNqFhIQELFmyBFlZWTAzE7fukJWVhVGjRuHHH3+s98wFIiKi58FT4omIiKjdGD9+PK5evYpbt25Jn6kX4fbt2/jyyy/ZrBMRUaviCjsREZEgXGEnIiKi+rBhJyIiIiIiIpIhXnSOiIiIiIiISIbYsBMRERERERHJEBt2IiIiIiIiIhliw05EREREREQkQ2zYiYiIiIiIiGSIDTsRERERERGRDLFhJyIiIiIiIpIhNuxEREREREREMvT/AV+Jl9al0/rkAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Prepare data for each group\n",
+ "groups = [\"No Conflict\", \"Periodical Conflict\", \"Continuous Conflict\"]\n",
+ "data = [df[df[\"Conflict_Group\"] == group][\"Value_USD\"] for group in groups]\n",
+ "\n",
+ "plt.figure(figsize=(12, 7))\n",
+ "plt.hist(\n",
+ " data,\n",
+ " bins=50,\n",
+ " stacked=False,\n",
+ " label=groups,\n",
+ " edgecolor=\"black\",\n",
+ " alpha=0.7,\n",
+ ")\n",
+ "plt.title(\"Histogram of Import Values (USD) by Conflict Group\")\n",
+ "plt.xlabel(\"Import Value (USD)\")\n",
+ "plt.ylabel(\"Frequency\")\n",
+ "plt.yscale(\"log\")\n",
+ "plt.legend(title=\"Conflict Group\")\n",
+ "plt.grid(True, linestyle=\"--\", linewidth=0.5)\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "daf60f36",
+ "metadata": {},
+ "source": [
+ "## Analysis 5: Solar Adoption Intensity Relative to Economic Capacity\n",
+ "\n",
+ "\n",
+ "This code calculates a new metric called **Conflict Intensity**, which measures solar import value relative to each country's GDP per capita. It then visualizes this intensity across three conflict groups—Non-conflict, Periodical Conflict, and Continuous Conflict—using boxplots on a logarithmic scale to compare how solar adoption intensity differs by conflict status while accounting for economic size.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "a12211e6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAA1EAAAIhCAYAAACv0DDfAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAACNYElEQVR4nOzdd1xT1/8/8FeAsGWJoigg1okKUqQVnNSiRevqctVVrVViHdharVpHba22rmrQavvR2lZrraPWTV24xYGouEVxgAqKcbHC+f3hL/kSWbkQDJDX8/HgAffcw7nvm+Te5J1z7rkyIYQAERERERER6cXM2AEQERERERGVJ0yiiIiIiIiIJGASRUREREREJAGTKCIiIiIiIgmYRBEREREREUnAJIqIiIiIiEgCJlFEREREREQSMIkiIiIiIiKSgEkUERERERGRBEyiyCQcOXIE3bt3h6enJ6ysrODm5oagoCCMGTOmWO0NGDAAtWrVMmyQeoiIiIBMJsPbb78t6f+mTJkCmUxWSlE9d/v2bUyZMgWxsbFG2X5BatWqJfnx0tiyZQumTJli2IBKYPny5ZDJZLh27Zq2bOXKlZg3b16pbC8tLQ2urq74888/tWUDBgyAvb19gf9jb2+PAQMG6JSdO3cOffv2Re3atWFtbQ1XV1e8+uqrGD58OFQqlU7bMplM+2NnZ4datWqhS5cuWLZsGTIyMgrc7saNG2FhYYF79+5py+7cuYMvv/wSTZs2hYODAywtLVGzZk2888472LhxI9Rqtbbunj17dLZtaWmJKlWqoEWLFpgwYQKuX7+eZ5ua50PzY2FhgZo1a2LgwIG4detWoY+tqZPJZDrHVnx8PKZMmaLz2pbql19+QY0aNfDkyRO96rdt2xaNGzcu9vakyMjIwMKFC9GyZUs4OzvD0tISNWrUwAcffIC9e/eW+vYnTpwIT09PWFhYwMnJCcDz/W/btq1OvRefF30Udu4vTEJCAkaMGIGGDRvCzs4O1tbWqFWrFj788EPs3r0bQghJ7RG9bEyiqMLbvHkzgoODoVKpMGvWLOzYsQPz589HixYtsHr1amOHp7esrCz8/vvvAIBt27aVuQ9pt2/fxtSpU/N9Ix08eDAOHTr08oMqoS1btmDq1KnGDkOrU6dOOHToEKpXr64tK80kaurUqXB3d0ePHj2K3cbJkycREBCA+Ph4fPXVV9i2bRsWL16MTp06Yfv27bh//75OfRsbGxw6dAiHDh3Cpk2bMG3aNNjZ2eHjjz9GQEAAbt68me921q5di9atW6NKlSoAgMOHD6NJkyZYunQpunTpgj///BP//fcfvvvuO8jlcrzzzjtYvnx5nna+/fZbHDp0CLt378Yvv/yCtm3b4n//+x8aNmyIP/74I99tL1u2DIcOHUJUVBQ+/vhjrFq1Cq1atdL7w7wpOnToEAYPHqxdjo+Px9SpU0uURPXv3x92dnaYNWuWASI0nJSUFLRo0QIRERFo3Lgxli9fjp07d2L27NkwNzdHu3btcOrUqVLb/j///INvvvkG/fr1w969e/Hff/8VWPfF50UfhZ37C7Jx40Y0adIEGzduRP/+/bF+/Xps374dkyZNQmpqKt544w3s2rVLUhxEL50gquBat24tXnnlFZGVlZVnnVqtLlab/fv3F15eXiWM7P88efKkyDpr1qwRAESnTp0EAPHNN9/o3f7kyZNFaR/uMTExAoBYtmxZqW5HKi8vL9GpU6di/a9CoSj1x62kOnXqZNDXokZqaqqwsbERixcv1inv37+/sLOzK/D/7OzsRP/+/bXL/fr1E3Z2dkKlUuVbPycnR6+2t2/fLuRyuXj99dfzrMvMzBROTk5i4cKFQgghHjx4INzc3IS3t7e4fft2vu2dOnVK7Nq1S7u8e/duAUCsWbMmT93U1FTh7+8vLCwsRFxcnLZ82bJlAoCIiYnRqT9p0iQBQPz+++/5bvtlyszMzPfcV9Zozm+7d+8uUTs//PCDcHR01Ouc2qZNG9GoUaMSbU8fYWFhwsLCQuzcuTPf9UePHhXXr18vte1Pnz5dABB37tzRKW/Tpo1o06ZNiduXeu6/fPmysLW1FYGBgeLhw4f51tm9e7eIjY0ttB19nmOi0sSeKKrwUlNT4erqCgsLizzrzMx0D4GcnBzMmjULDRo0gJWVFapWrYp+/foV+O13bkqlEq1bt0bVqlVhZ2eHJk2aYNasWcjKytKppxlCEh0djeDgYNja2uKjjz4qsv1ffvkFlpaWWLZsGTw8PLBs2bJ8hzts3rwZTZs2hZWVFby9vfHDDz/k2156ejrGjx8Pb29v7dAShUKBtLQ0nXqa4XDr16+Hr68vrK2tUbt2bfz444/aOnv27EFgYCAAYODAgdrhTZphIfkN59P3sdY8XjExMWjVqhVsbW1Ru3ZtfPfdd8jJySnycXvRtWvXIJPJ8MMPP2DOnDnw9vaGvb09goKCcPjwYW29AQMGQKlUAoDOkC3NN+VCCERGRqJp06awsbGBs7Mz3nvvPVy9erVY8efk5GD69OmoX78+bGxs4OTkBF9fX8yfP19b58XhfG3btsXmzZtx/fp1nRiFEKhbty46dOiQZ/8fP34MR0dHKBSKQh+n5cuXIzs7u0S9UMDz48/BwaHAIYD6DvNs3749Pv74Yxw5cgTR0dE663bu3ImHDx+ie/fuAIClS5fizp07mDVrlk6vXW6+vr4ICQnRa9suLi746aefkJ2djblz5xZZv3nz5gCQ7xBADc3rcNasWfjmm2/g6ekJa2trNGvWDDt37sxT/9KlS+jduzeqVq0KKysrNGzYUPv61NAMSfztt98wZswY1KhRA1ZWVrh8+XKBcWRkZGDatGlo2LAhrK2tUblyZYSEhODgwYPaOlLPbfv27UPz5s1hY2ODGjVqYNKkSTpDJwHdYWPLly/H+++/DwAICQnRvo41PYVRUVHo2rUratasCWtra9SpUweffPIJUlJS8uxPnz59oFKpdIagFqWweEt6LB0/fhxbt27FoEGD8MYbb+RbJzAwEJ6entrlM2fOoGvXrnB2doa1tTWaNm2KX3/9Ved/NM/1qlWrMGHCBLi7u8PBwQFvvvkmLly4oK1Xq1YtTJw4EQDg5uZW5HC9/NbfunULQ4YMgYeHBywtLeHu7o733nsPd+7cKfLcn585c+bg6dOniIyMhIODQ7512rZtCz8/P+2y5j3kxIkTeO+99+Ds7IxXXnkFgP7vZQXFVatWLZ0hyJrzbFRUFAYOHAgXFxfY2dmhc+fOec7vZOKMm8MRlb7BgwcLAOLTTz8Vhw8fFpmZmQXWHTJkiAAghg8fLrZt2yYWL14sqlSpIjw8PMS9e/e09fLriRo9erRYtGiR2LZtm9i1a5eYO3eucHV1FQMHDtSp16ZNG+Hi4iI8PDzEggULxO7du8XevXsL3YcbN24IMzMz8f777wshhJg4caIAIPbs2aNT77///hPm5uaiZcuWYt26dWLNmjUiMDBQeHp66vSo5OTkiA4dOggLCwsxadIksWPHDvHDDz8IOzs74e/vL9LT07V1vby8RI0aNYSnp6f43//+J7Zs2SL69OkjAIjvv/9eCCHEw4cPtd/KT5w4URw6dEgcOnRI3LhxQwiRf0+Yvo91mzZtROXKlUXdunXF4sWLRVRUlAgPDxcAxK+//lro46aJP3dPVEJCggAgatWqJd566y2xYcMGsWHDBtGkSRPh7Ows0tLShBDPvy197733BADt/hw6dEj72Hz88cdCLpeLMWPGiG3btomVK1eKBg0aCDc3N5GcnCw5/hkzZghzc3MxefJksXPnTrFt2zYxb948MWXKFG0dzWOckJAghBDi7NmzokWLFqJatWo6MQohxPz584VMJhMXL17UeTyUSqUAIM6ePVvo4/bGG2+I1157LU+51J4ozbfgvXr1Env27BFPnz4t8H+Lanvbtm0CgPj66691ygcPHiyCg4O1y6GhocLc3FzSN9WF9URpVK9eXbzyyiva5YJ6oubPny8AiCVLlhTYluZ16OHhIVq2bCnWrl2rPV7lcrk4ePCgtu7Zs2eFo6OjaNKkiVixYoXYsWOHGDNmjDAzM9N5fWj2oUaNGuK9994TGzduFJs2bRKpqan5xpCVlSVCQkKEhYWF+Oyzz8SWLVvExo0bxZdffilWrVqlrSfl3Fa5cmXh7u4ufvzxR7F9+3YxYsQIAUAoFAqdugDE5MmThRBC3L17V3z77bcCgFAqldrX8d27d4UQQixatEjMmDFDbNy4Uezdu1f8+uuvws/PT9SvXz/f83nDhg3FO++8U+BjLzXekhxLmv3aunVrkfEIIcT58+dFpUqVxCuvvCJWrFghNm/eLHr16iUAiJkzZ2rraZ7rWrVqiT59+ojNmzeLVatWCU9PT1G3bl2RnZ0thBDixIkTYtCgQQKA2LZtm855Ob+eqNzPixBC3Lx5U1SvXl24urqKOXPmiP/++0+sXr1afPTRR+LcuXNFnvvzU7duXVG9enW9Hg8NzXuIl5eX+OKLL0RUVJTYsGGDpPeyF/dNw8vLS+ecpdkfDw8P8dFHH4mtW7eKJUuWiKpVqwoPDw/x4MEDSbFTxcUkiiq8lJQU0bJlSwFAABByuVwEBweLGTNmiEePHmnrnTt3TgAQ4eHhOv9/5MgRAUB8+eWX2rKihvOp1WqRlZUlVqxYIczNzcX9+/e169q0aSMAFDi0Iz/Tpk3TvgkKIcTVq1eFTCYTffv21an3+uuvC3d3d/Hs2TNtmUqlEi4uLjpJjObD6KxZs3T+f/Xq1Xk+/Hl5eQmZTJZnaEVoaKhwcHDQflAtbEjHi0mUlMda83gdOXJEp66Pj4/o0KFD3gfrBQUlUU2aNNF+0BDi+ZAaADofHgsaznfo0CEBQMyePVun/MaNG8LGxkaMHTtWcvxvv/22aNq0aaH78mISJUTBw/lUKpWoVKmSGDlyZJ7thoSEFLodIYSwtbUVQ4cOzVMuNYlKT08X3bp10x5/5ubmwt/fX0yYMEH7IVnftjWvm2HDhmnLsrOzhaurq85z0aBBA1GtWrU8/685LjU/uYfz6pNEvf7668LGxka7rHk+Dh8+LLKyssSjR4/Epk2bRJUqVUSlSpV0kukXaV6HBR2vb775prasQ4cOombNmnmGPg0fPlxYW1trzy+afWjdunWB281txYoVAoBYunSpXvWF0O/c9s8//+j8z8cffyzMzMx0hqy9+IFW3+F8OTk5IisrS1y/fj3fbQkhRJ8+fYSbm1uR+6JvvCU5loYOHSoAiPPnzxcZjxBC9OzZU1hZWYnExESd8rCwMGFra6v9kkfzXHfs2FGn3l9//aX94kdDc/7N/eWUEPolUR999JGQy+UiPj6+wJilDueztrYWzZs3z1Ne2PGp2YevvvpK53+kvJdJTaK6d++uU+/AgQMCgJg+fbpe+0kVH4fzUYVXuXJl7Nu3DzExMfjuu+/QtWtXXLx4EePHj0eTJk20Q0J2794NAHlmFnvttdfQsGHDfIfY5Hby5El06dIFlStXhrm5OeRyOfr16we1Wo2LFy/q1HV2di5waMeLhBDaIXyhoaEAAG9vb7Rt2xZr167Vzm725MkTxMTE4J133oG1tbX2/ytVqoTOnTvrtKm5YPfFfX3//fdhZ2eXZ18bNWqkM7QCAHr37g2VSoUTJ07otR+5SX2sq1Wrhtdee02nzNfXt9DhUkXp1KkTzM3NddoDCh+CpbFp0ybIZDJ8+OGHyM7O1v5Uq1YNfn5+2LNnj+T4X3vtNZw6dQrh4eHYvn27zqx1xVGpUiUMHDgQy5cv105wsGvXLsTHx2P48OGF/m9aWhqePn2KqlWrligGALCyssL69esRHx+PuXPnomfPnrh37x6++eYbNGzYUGfoUVFEPsNX9+7di5SUFLzzzjtF/n9ERATkcrn2p0uXLpL2Jb/tA8+H78nlclSqVAlvv/02qlWrhq1bt8LNza3INgs6XqOjo6FWq5Geno6dO3eie/fusLW11Xm9dezYEenp6TrDUAHg3Xff1Wt/tm7dCmtr6yKHE0s5t1WqVCnP49q7d2/k5OTkGYapr7t372Lo0KHw8PCAhYUF5HI5vLy8ADyf+fFFVatWxd27d5GdnV1k2/rEW5JjSapdu3ahXbt28PDw0CkfMGAAnj59mmeCnhdjl3Ie08fWrVsREhKChg0bGqS9wrzzzjs6x+eIESPy1HnxtS31vUyKPn366CwHBwfDy8tL+/5FxCSKTEazZs3wxRdfYM2aNbh9+zZGjx6Na9euaWdySk1NBYB8r6Fwd3fXrs9PYmIiWrVqhVu3bmH+/PnapE1zzcKzZ8906hd0nUZ+du3ahYSEBLz//vtQqVRIS0tDWloaPvjgAzx9+hSrVq0CADx48AA5OTmoVq1anjZeLEtNTYWFhYV2JjMNmUyGatWq5dnXwtos7HEpiNTHunLlynnqWVlZ5XlcpXixTSsrKwB5n6v83LlzB0IIuLm56bzpy+VyHD58OM+1GvrEP378ePzwww84fPgwwsLCULlyZbRr1w7Hjh0rzu4BAD799FM8evRIO6vcwoULUbNmTXTt2rXQ/9PElfvDvYaFhUWe61tyy87Ohlwuz1PesGFDjBo1Cr///jsSExMxZ84cpKamYtKkSXrvj+aDobu7u7bs77//RkBAgM4tBzw9PXHv3j08ffpU5//HjBmDmJgYxMTESDoGNRITE3W2rbFixQrExMTg5MmTuH37NuLi4tCiRQu92izo2MrMzMTjx4+RmpqK7OxsLFiwIM9rrWPHjgCQ5/Wm777du3cP7u7uea4NzU3quS2/xLEk54qcnBy0b98e69atw9ixY7Fz504cPXpUmzjmd7xaW1tDCIH09PQi29c33uIeS5prnRISEoqMRbPNgs6LL8YElOw8po979+6hZs2aBmlLw9PTM98kb/bs2drjsyAvPjZS38ukKOjYLEmbVLEwiSKTJJfLMXnyZADPL+IF/u/NKCkpKU/927dvw9XVtcD2NmzYgCdPnmDdunX48MMP0bJlSzRr1gyWlpb51pdyz6RffvkFwPOLcZ2dnbU/w4YN01nv7OwMmUyG5OTkPG28WFa5cmVkZ2fr3FMHeP5Ne3Jycp59LazN/BKEopTksS4LXF1dIZPJsH//fu2bfu6fDRs2SG7TwsICEREROHHiBO7fv49Vq1bhxo0b6NChQ55kQF916tRBWFgYlEolbty4gY0bN2Lo0KE6PXD50Tw/L04/Djz/0Jmenp7vutTUVGRkZBTZAyOTyTB69Gg4OTlpjz99bNy4EQC097bJycnB+vXr83w7HRoaCrVajS1btuiUe3h4oFmzZoUemwU5evQokpOT89xXB3ieIDZr1gxNmzaVnJwVdGxZWlrC3t4ezs7OMDc3x4ABA/J9rcXExGiTKQ19zy9VqlTB7du3C52gReq57c6dOwXuY3HOFWfOnMGpU6fw/fff49NPP0Xbtm0RGBhYaFv379+HlZVVofczkxpvcY8lzYQU+p4TKleuXOB5EcBLPzdWqVJFr4mVpAgNDUVSUlKeL4heeeUV7fFZkBdf21Ley6ysrPK911xBSVFBx2ZxXsdUMTGJogovvzck4P+GgWi+4dMMr9Pci0kjJiYG586dQ7t27QrchubErvkWEHh+El+6dGnxA8fz3qX169ejRYsW2L17d56fPn36ICYmBmfOnIGdnR1ee+01rFu3Tucb2EePHuHff//VaVezLy/u69q1a/HkyZM8+3r27Nk89zFZuXIlKlWqhFdffVVn3/X5BrQkj/XLVNA+vf322xBC4NatW9o3/dw/TZo0KdF2nZyc8N5770GhUOD+/fuF3junqB65kSNHIi4uDv3794e5uTk+/vjjIrdvaWmJ2rVr48qVK3nWvfnmmwCQ7z3W/vrrL506QMHH3+3bt6FSqfLt2clPVFQUfv75ZwQHB6Nly5YAgIMHDyI5OTlPEjV48GC4ublh7NixBW5fivv372Po0KGQy+UYPXp0idvLraDjtVWrVjA3N4etrS1CQkJw8uRJ+Pr65vt6K+6HurCwMKSnp+d7vywNqee2R48eaZNdjZUrV8LMzAytW7cucDsFHWv5bR8AfvrppwLbunr1Knx8fApcX9x4i3MsvfrqqwgLC8Mvv/xS4H2Pjh07hsTERADPz827du3SJk0aK1asgK2trXbmx5clLCwMu3fvLnTYrdTer9GjR8PW1hYKhQKPHj0qUXxS3stq1aqFuLg4nXq7du3C48eP8237xfvCHTx4ENevX8/3ixQyTXnnfCaqYDp06ICaNWuic+fOaNCgAXJychAbG4vZs2fD3t4eI0eOBADUr18fQ4YMwYIFC2BmZoawsDBcu3YNkyZNgoeHR6EfnkJDQ2FpaYlevXph7NixSE9Px6JFi/DgwYMSxf7HH38gPT0dI0aMyPfEXblyZfzxxx/45ZdfMHfuXHz99dd46623EBoaijFjxkCtVmPmzJmws7PT6TkIDQ1Fhw4d8MUXX0ClUqFFixaIi4vD5MmT4e/vj759++psx93dHV26dMGUKVNQvXp1/P7774iKisLMmTNha2sL4Pm3iDY2Nvjjjz/QsGFD2Nvbw93dPd8PySV5rF8mTTI0c+ZMhIWFwdzcHL6+vmjRogWGDBmCgQMH4tixY2jdujXs7OyQlJSE/fv3o0mTJtqeQn117twZjRs3RrNmzVClShVcv34d8+bNg5eXF+rWrVtojOvWrcOiRYsQEBAAMzMznW9yQ0ND4ePjg927d+PDDz/U+zqntm3bYuvWrXnKQ0JC0KVLF4wcORLXrl1DmzZtIIRAdHQ05s6diy5duui8VocMGYK0tDS8++67aNy4MczNzXH+/HnMnTsXZmZm+OKLL3Taz8nJ0Q7VysjIQGJiIrZu3Yq//voLDRs21CZqwPOhfI0bN0a9evV02nBycsKGDRvQuXNn+Pn5YdiwYWjevDns7e2RmpqK6OhoJCcnIzg4OM/+Xbp0CYcPH0ZOTg5SU1Nx5MgR/PLLL1CpVFixYgUaNWqk1+OnL3Nzc4SGhiIiIgI5OTmYOXMmVCqVzk2e58+fj5YtW6JVq1YYNmwYatWqhUePHuHy5cv4999/i31T0l69emHZsmUYOnQoLly4gJCQEOTk5ODIkSNo2LAhevbsKfncVrlyZQwbNgyJiYmoV68etmzZgqVLl2LYsGE603i/qHHjxgCAJUuWoFKlSrC2toa3tzcaNGiAV155BePGjYMQAi4uLvj3338RFRWVbzs5OTk4evQoBg0apNdjICXe4h5LK1aswFtvvYWwsDB89NFHCAsLg7OzM5KSkvDvv/9i1apVOH78ODw9PTF58mRs2rQJISEh+Oqrr+Di4oI//vgDmzdvxqxZs+Do6KjXNg1l2rRp2Lp1K1q3bo0vv/wSTZo0QVpaGrZt24aIiAjt86PvuR94/l6xatUq9OrVS3uufPXVV2FlZYW7d+9ix44dAFDg9Oe5SXkv69u3LyZNmoSvvvoKbdq0QXx8PBYuXFjgY3rs2DEMHjwY77//Pm7cuIEJEyagRo0aCA8PL8YjSRWSceazIHp5Vq9eLXr37i3q1q0r7O3thVwuF56enqJv3755ZhxSq9Vi5syZol69ekIulwtXV1fx4Ycf5pmuNb/Z+f7991/h5+cnrK2tRY0aNcTnn38utm7dmmfGKSk3eGzatKmoWrWqyMjIKLBO8+bNhaurq7bOxo0bha+vr7C0tBSenp7iu+++y3eK8WfPnokvvvhCeHl5CblcLqpXry6GDRuWZ/pWzex2f//9t2jUqJGwtLQUtWrVEnPmzMkTy6pVq0SDBg2EXC7XmQkpv+3r+1gX9Hjpe8Pjgmbn00zPnhtemL0pIyNDDB48WFSpUkXIZLI8M+P973//E6+//rqws7MTNjY24pVXXhH9+vUTx44dkxz/7NmzRXBwsHB1ddU+d4MGDRLXrl3T1slvdr779++L9957Tzg5OWljfNGUKVO0s8jpa+fOnQKAOHr0aJ51mZmZ4ttvvxWNGjUSVlZWwsrKSjRq1Eh8++23eaac3r59u/joo4+Ej4+PcHR0FBYWFqJ69erinXfe0ZlBTPOY4P/P4gdA2NjYCE9PT9G5c2fxv//9L89x4OHhke9sWxrJycli/PjxwtfXV9jZ2Qm5XC7c3d1F586dxYoVK3RuQquZ7UzzY2FhISpXriyCgoLEl19+qfM8aBQ0xbk+NK/DmTNniqlTp4qaNWsKS0tL4e/vL7Zv355v/Y8++kjUqFFDyOVyUaVKFREcHKwzU5g+Mwy+6NmzZ+Krr74SdevWFZaWlqJy5crijTfe0JliXeq5bc+ePaJZs2bCyspKVK9eXXz55Zd5bvj74rEmhBDz5s0T3t7ewtzcXGe2t/j4eBEaGioqVaoknJ2dxfvvvy8SExPzbUPzuj1+/HiR+y4lXo3iHEtCPH+cf/zxRxEUFCQcHByEhYWFcHd3F++8847YvHmzTt3Tp0+Lzp07C0dHR2FpaSn8/PzyzHxX0HOteV3lrl+S2fmEeD7r6EcffSSqVaumPYY++OADnZv3FnTuL8yVK1fEp59+KurXry9sbGyElZWV8PLyEu+//75Yv369zo24C9oHIfR/L8vIyBBjx44VHh4ewsbGRrRp00bExsYWODvfjh07RN++fYWTk5OwsbERHTt2FJcuXSpyv8h0yIQoYLohIiI8HwLRuHFjbNq0ydihUDE1a9YMMpms0Au286PpdVu0aFEpRVZ8R48exeuvv464uLgSD580hmvXrsHb2xvff/89PvvsM2OHYxBt27ZFSkqKpOvcDK1v3764evUqDhw4UCrtF/dYovJj+fLlGDhwIGJiYgq9PouIw/mIiCoglUqFM2fOYNOmTTh+/DjWr18vuY1Zs2ahe/fumDBhgsFn6Cqp1157rcApx8k0XblyBatXry728MaCGOJYIqKKh0kUEVEFdOLECYSEhKBy5cqYPHkyunXrJrmNt956C99//z0SEhLKXBJF9KLExEQsXLhQO/GIoRjiWCKiiofD+YiIiIiIiCTgFOdEREREREQSMIkiIiIiIiKSgEkUERERERGRBCY/sUROTg5u376NSpUqae+MTkREREREpkcIgUePHsHd3R1mZgX3N5lsEqVUKqFUKpGZmYkrV64YOxwiIiIiIiojbty4UejMtCY/O9/Dhw/h5OSEGzduwMHBwdjhkBFkZWVhx44daN++PeRyubHDISIj4HmAiHgeIOD5veE8PDyQlpYGR0fHAuuZbE+UhmYIn4ODA5MoE5WVlQVbW1s4ODjwpElkongeICKeByi3oi7z4cQSREREREREEjCJIiIiIiIikoBJFBERERERkQQmm0QplUr4+PggMDDQ2KEQEREREVE5YrJJlEKhQHx8PGJiYowdChERERERlSMmm0QREREREREVB5MoIiIiIiIiCZhEERERERERScAkioiIiIiISAImUURERERERBKYbBLFKc6JiIiIiKg4TDaJ4hTnRERERERUHCabRBERERERERUHkygiIjJparUap06dwvnz53Hq1Cmo1Wpjh0RERGWchbEDICIiMpbo6GhERkYiOTkZALB161ZUq1YN4eHhaN26tZGjIyKisoo9UUREZJKio6MxefJk1K5dG/Pnz4dCocD8+fNRu3ZtTJ48GdHR0cYOkYiIyigmUUREZHLUajUiIyMRFBSE6dOnw8fHB5aWlvDx8cH06dMRFBSERYsWcWgfERHli0kUERGZnLi4OCQnJ6NPnz4wM9N9KzQzM0OfPn2QlJSEuLg4I0VIRERlGZMoIiIyOffv3wcAeHt757teU66pR0RElBuTKCIiMjkuLi4AgISEhHzXa8o19YiIiHIz2SRKqVTCx8cHgYGBxg6FiIheMl9fX1SrVg1//PEHcnJydNbl5OTgjz/+QPXq1eHr62ukCImIqCwz2SRKoVAgPj4eMTExxg6FiIheMnNzc4SHh+PQoUOYOHEi4uPjkZmZifj4eEycOBGHDh3CsGHDYG5ubuxQiYioDOJ9ooiIyCS1bt0aU6dORWRkJEaOHKktr169OqZOncr7RBERUYGYRBERkclq3bo1WrRogZMnT2Lnzp1o164d/P392QNFRESFYhJFREQmzdzcHH5+frh16xb8/PyYQBERUZFM9pooIiIiIiKi4mASRUREJk2tVuPUqVM4f/48Tp06BbVabeyQiIiojONwPiIiMlnR0dGIjIxEcnIyAGDr1q2oVq0awsPDObEEEREViD1RRERkkqKjozF58mTUrl0b8+fPh0KhwPz581G7dm1MnjwZ0dHRxg6RiIjKKCZRRERkctRqNSIjIxEUFITp06fDx8cHlpaW8PHxwfTp0xEUFIRFixZxaB8REeWLSRQREZmcuLg4JCcno0+fPjAz030rNDMzQ58+fZCUlIS4uDgjRUhERGVZhUiifvjhBzRq1AiNGzfG77//buxwiIiojLt//z4AwNvbG5mZmVi7di127dqFtWvXIjMzE97e3jr1iIiIciv3E0ucPn0aK1euxPHjxwEA7dq1w9tvvw0nJyfjBkZERGWWi4sLAGDOnDnYvXu3dtjeqVOnsHTpUrRt21anHhERUW7lPok6d+4cgoODYW1tDQBo2rQptm3bhp49exo5MiIiKqt8fX1ha2uL//77D87OzhgwYAAeP34Me3t7LF++HDt37oSdnR18fX2NHSoREZVBRh/OFx0djc6dO8Pd3R0ymQwbNmzIUycyMhLe3t6wtrZGQEAA9u3bp13XuHFj7N69G2lpaUhLS8OuXbtw69atl7gHRERU3qjVaqSnpwMA6tevj1q1asHS0hK1atVC/fr1AQDPnj3jxBJERJQvoydRT548gZ+fHxYuXJjv+tWrV2PUqFGYMGECTp48iVatWiEsLAyJiYkAAB8fH4wYMQJvvPEGunfvjsDAQFhYlPsONiIiKkX//PMPcnJy0KVLF1y7dg0jR46EUqnEyJEjcf36dXTp0gU5OTn4559/jB0qERGVQUbPNsLCwhAWFlbg+jlz5mDQoEEYPHgwAGDevHnYvn07Fi1ahBkzZgAAPvnkE3zyyScAgMGDB6NOnToFtpeRkYGMjAztskqlAgBkZWUhKyurxPtD5Y/meefzT2Q6bty4AQDo06cPwsPDERsbi71796JNmzZo2rQpHjx4gI0bN+LGjRs8NxCZCH4eIED/59/oSVRhMjMzcfz4cYwbN06nvH379jh48KB2+e7du6hatSouXLiAo0ePYvHixQW2OWPGDEydOjVP+Y4dO2Bra2u44KnciYqKMnYIRPSSpKWlAQCWLl2KRo0aaYeBHzt2DElJSThz5oy23pYtW4wVJhEZAT8PmLanT5/qVa9MJ1EpKSlQq9Vwc3PTKXdzc0NycrJ2uVu3bkhLS4OdnR2WLVtW6HC+8ePHIyIiQrusUqng4eGB9u3bw8HBwfA7QWVeVlYWoqKiEBoaCrlcbuxwiOglePPNN3HgwAEcOnQIcXFxuHv3rnZd1apV8eTJE5ibm+OLL76ApaWlESMlopeFnwcI+L9RakUp00mUhkwm01kWQuiU5e6VKoqVlRWsrKygVCqhVCq1Fw3L5XIeMCaOrwEi0yGXy9G8eXMcOHAAmZmZ6NGjB6ytrZGeno5169YhKysLLVq0gJ2dnbFDJaKXjJ8HTJu+z32ZTqJcXV1hbm6u0+sEPB++92LvlFQKhQIKhQIqlQqOjo4laouIiMoXtVqNK1euwN3dHcnJyVi9erV2nbm5Odzd3XH16lWo1WqYm5sbMVIiIiqLjD47X2EsLS0REBCQZ2xqVFQUgoODjRQVERGVd3FxcUhOTsaECROwbds2DB06FH5+fhg6dCi2bt2KCRMmICkpCXFxccYOlYiIyiCj90Q9fvwYly9f1i4nJCQgNjYWLi4u8PT0REREBPr27YtmzZohKCgIS5YsQWJiIoYOHVqi7b44nI+IiEzH/fv3AQDe3t4wNzdHnTp1cP36ddSpUwfm5ubw9vbWqUdERJSb0ZOoY8eOISQkRLusmfShf//+WL58OXr06IHU1FRMmzYNSUlJaNy4MbZs2QIvL68SbZfD+YiITJeLiwsAYP369fj333+1w8a3bt2KatWq4e2339apR0RElJvRk6i2bdtCCFFonfDwcISHh7+kiIiIqKLz9fWFk5MTli5diubNm+O9997DhQsXUL9+fRw7dgw///wznJ2d4evra+xQiYioDDJ6EkVERGRMJ0+exOHDhwE8v+bWysoKAIr8go+IiExXmZ5YojQplUr4+PggMDDQ2KEQEdFLFhcXp73hbkZGhs46zXJaWhonliAionyZbE8Ur4kiIjJdKSkp2r9ff/11uLu749KlS6hbty5u376NI0eO5KlHRESkYbJJFBERmS7NrHtubm64du2aNmk6c+YM3Nzc4Obmhjt37nB2PiIiypfJJlGc4pyIyHSpVCoAwJ07d/D6668jODg4354oTT0iIqLcTDaJ4nA+IiLTJZPJtH9rEibgeU9UQfWIiIg0THZiCSIiMl2VKlUyaD0iIjItTKKIiMjkODg4aP+2tLTUWZd7OXc9IiIiDSZRRERkci5cuKD9OzMzU2dd7uXc9YiIiDRMNonifaKIiExX7hvpyuVynXW5l3nDXSIiyg8nluDEEkREJid3cuTv7w+5XI7r16/Dy8sLWVlZOHr0aJ56REREGiabRBERkemyt7cHAJiZmWkTJgC4efOmtjwnJ0dbj4iIKDcmUUREZHLMzc0BADk5OZDJZHB3d0d2djYsLCxw+/Zt5OTk6NQjIiLKjUkUERGZnMaNG2v/FkLg1q1bRdYjIiLS4MQSnFiCiMjkXLt2Tfu3hYUF6tSpg+rVq6NOnTqwsLDItx4REZGGyfZEcWIJIiLTlbvnKTs7G5cvXy6yHhERkYbJ9kQREZHpSk1N1f5d2BTnuesRERFpMIkiIiKTU7lyZQDPZ+FzdnbWWefs7AwzMzOdekRERLmZ7HA+IiIyXZokKScnB3fv3tVZl3tZU4+IiCg3vjsQEZHJqV+/vkHrERGRaWFPFBERmZyHDx/qLNetWxcymQxCCFy6dKnAekRERIAJJ1FKpRJKpRJqtdrYoRAR0Ut28eJFneXciVNh9YiIiAATTqI4xTkRkem6evWq9u/mzZujWrVquHz5MurUqYPk5GQcPnw4Tz0iIiINk02iiIjIdNnZ2QEAqlSpgoSEBG3SdObMGVSrVg2urq5ISUnR1iMiIsqNE0sQEZHJadWqFQDg3r17ePDggc66+/fvIyUlRaceERFRbkyiiIjI5LzzzjvavzMzM3XW5V7OXY+IiEiDSRQREZkcc3NzWFpaFlrHysoK5ubmLykiIiIqT5hEERGRyYmNjc3TA/WijIwMxMbGvpyAiIioXGESRUREJufkyZMGrUdERKaFs/MREZHJSUpK0v5dqVIleHt7IzU1FZUrV0ZCQgIePXqUpx4REZEGkygiIjI59+/f1/796NEjxMXFAQBu3bpVYD0iIiINkx3Op1Qq4ePjg8DAQGOHQkREL9mL05qXtB4REZkWk02iFAoF4uPjERMTY+xQiIjoJbOxsTFoPSIiMi0mm0QREREREREVB5MoIiIyORkZGQatR0REpoVJFBERmZyUlBSD1iMiItPCJIqIiEwOe6KIiKgkmEQREZHJUavVBq1HRESmhUkUERGZHLlcbtB6RERkWphEERGRyWESRUREJcEkioiITI5MJjNoPSIiMi1MooiIyOQIIQxaj4iITAuTKCIiMjmcWIKIiEqiQiRRc+fORaNGjeDj44MRI0bwm0MiIiqUlZWVQesREZFpKfdJ1L1797Bw4UIcP34cp0+fxvHjx3H48GFjh0VERGWYtbW1QesREZFpKfdJFABkZ2cjPT0dWVlZyMrKQtWqVY0dEhERlWGenp4GrUdERKbF6ElUdHQ0OnfuDHd3d8hkMmzYsCFPncjISHh7e8Pa2hoBAQHYt2+fdl2VKlXw2WefwdPTE+7u7njzzTfxyiuvvMQ9ICKi8qZp06YGrUdE5ZtarcapU6dw/vx5nDp1itdDUpEsjB3AkydP4Ofnh4EDB+Ldd9/Ns3716tUYNWoUIiMj0aJFC/z0008ICwtDfHw8PD098eDBA2zatAnXrl2DjY0NwsLCEB0djdatW+e7vYyMDGRkZGiXVSoVAGh7scj0aJ53Pv9EpsPDw0Pvejw3EFVs+/btw5IlS5CcnAwA2Lp1K6pVq4YhQ4agVatWRo6OXjZ9z/kyIXEWhoyMDBw9ehTXrl3D06dPUaVKFfj7+8Pb27tYgeoEI5Nh/fr16Natm7bs9ddfx6uvvopFixZpyxo2bIhu3bphxowZWLNmDfbs2QOlUgkA+P777yGEwNixY/PdxpQpUzB16tQ85StXroStrW2J94GIiMq+ffv24dixY0XWa9asGT9EEVVgly5dwqZNm1C7dm289tprqFy5MlJTU3H06FFcvXoVb7/9NurWrWvsMOklevr0KXr37o2HDx/CwcGhwHp690QdPHgQCxYswIYNG5CZmQknJyfY2Njg/v37yMjIQO3atTFkyBAMHToUlSpVMshOZGZm4vjx4xg3bpxOefv27XHw4EEAz78lPHjwINLT0yGXy7Fnzx4MGTKkwDbHjx+PiIgI7bJKpYKHhwfat29f6ANFFVdWVhaioqIQGhoKuVxu7HCI6CX4999/9aqXlpaGjh07lnI0RGQMarUaq1atQvPmzfHVV18hLi4Oe/fuRZs2bdCvXz9MmzYNx44dw/Dhw2Fubm7scOkl0YxSK4peSVTXrl0RExOD3r17Y/v27WjWrJlOr83Vq1exb98+rFq1CnPmzMGKFSsQGhpavMhzSUlJgVqthpubm065m5ubtsu1efPm6NixI/z9/WFmZoZ27dqhS5cuBbZpZWWV75S1crmcH6BNHF8DRKbj2bNnetfjeYGoYjpz5gySk5PRuXNnfPTRR3mG83Xu3BmHDx/GuXPn4O/vb+Ro6WXR95yvVxLVvn17rFmzBpaWlvmur127NmrXro3+/fvj7NmzuH37tv6R6kEmk+ksCyF0yr755ht88803ktpUKpVQKpW8cJCIyAQV9H5W3HpEVP7cv38fAPDzzz8jKCgI48ePx8WLF1GvXj2sXr0aP//8s049otz0mp1PoVDo/UbSqFEjg/RCAYCrqyvMzc213wxo3L17N0/vlFQKhQLx8fGIiYkpUTtERFT+pKenG7QeEZU/Tk5OAIDGjRtj+vTp8PHxgaWlJXx8fDB9+nQ0btxYpx5RbsWa4jwtLQ0///wzxo8fr83OT5w4gVu3bhk0OEtLSwQEBCAqKkqnPCoqCsHBwQbdFhERmY6HDx8atB4RlW+c4pykkjzFeVxcHN588004Ojri2rVr+Pjjj+Hi4oL169fj+vXrWLFihaT2Hj9+jMuXL2uXExISEBsbCxcXF3h6eiIiIgJ9+/ZFs2bNEBQUhCVLliAxMRFDhw6VGroODucjIjJd+k5hy+nNiSqutLQ0AMDp06fx9ttva2+Bs3XrVlhZWWmXNfWIcpPcExUREYEBAwbg0qVLsLa21pZr7s8k1bFjx+Dv76+9YC8iIgL+/v746quvAAA9evTAvHnzMG3aNDRt2hTR0dHYsmULvLy8JG8rNw7nIyIyXfre0oK3viCquFxcXAxaj0yL5J6omJgY/PTTT3nKa9SokefaJX20bdsWRd2qKjw8HOHh4ZLbJiIiyk9+s7SWpB4RlT+NGjWCubk5HBwc8Oeff+L06dPYuXMn2rVrhyZNmqBnz55QqVRo1KiRsUOlMkhyT5S1tXW+86dfuHABVapUMUhQL4NSqYSPjw8CAwONHQoREb1kdnZ2Bq1HROXP2bNnoVar8eDBA0ydOhVyuRy1a9eGXC7H1KlT8eDBA6jVapw9e9bYoVIZJDmJ6tq1K6ZNm6YdJy6TyZCYmIhx48bh3XffNXiApYXD+YiITNe9e/cMWo+Iyh/N5GgTJkzA1atXMXLkSCiVSowcORIJCQmYMGGCTj2i3CQP5/vhhx/QsWNHVK1aFc+ePUObNm2QnJyMoKAgyfdqIiIiMgbNBeOGqkdE5Y/mWid3d3f88ccfOHnypHY4n7+/P86fP69Tjyg3yUmUg4MD9u/fj127duHEiRPIycnBq6++ijfffLM04iMiojIoPT0diYmJxg6j2MzM/m8ghrm5OZydnZGeng5ra2vtEB5NvYsXLxorzBLz9PTUmQSKiP6Pr68vqlWrhj/++APTp0+Hn58fbt26BT8/P8hkMvzxxx+oXr06fH19jR0qlUEyUdSsDhVU7inOL168iIcPH8LBwcHYYZERZGVlYcuWLejYsSPkcrmxwyEqFy5evIghQ4YYOwwqwpIlS1CvXj1jh0FUZkVHR2Py5MkICgpCjx49cPHiRdSrVw+rV6/GoUOHMHXqVLRu3drYYdJLpFKp4OjoWGRuoFcS9eOPP+q94REjRuhdtyzQ94GiiotJFJF05b0nKj09Xa/3qx9//LFc9+SwJ4qoaNHR0YiMjNSZZbp69eoYNmwYEygTpG9uoNdwvrlz5+q1UZlMVu6SKCIiks7a2rrc93A0aNBAe81DQes5jIfINLzYp5CTk2OkSKi80CuJSkhIKO04iIiIXqrFixdj6NCh+SZSDRo0wOLFi40QFRG9TLmH83355Zc6w/kmT57M4XxUIMlTnFcUvE8UEREtXrwYmzZt0vY4+fr6YtOmTUygiEyAWq1GZGQkgoKCMH36dPj4+MDS0hI+Pj6YPn06goKCsGjRIu1EM0S5SZ6dDwBu3ryJjRs3IjExEZmZmTrr5syZY5DASptCoYBCodCOeyQiItNkb2+PoUOHIjw8HEOHDoW9vb2xQyKilyAuLg7JycmYNGkShBA4deoUzp8/jxo1asDf3x99+vSBQqFAXFwc/P39jR0ulTGSk6idO3eiS5cu8Pb2xoULF9C4cWNcu3YNQgi8+uqrpREjEREREZFBaW6ie/v2bXz99dfaiSW2bt2KatWqYdCgQTr1iHKTPJxv/PjxGDNmDM6cOQNra2usXbsWN27cQJs2bfD++++XRoxERERERAaluYnut99+C29vb3z66acIDQ3Fp59+Cm9vb3z77bc69Yhyk9wTde7cOaxater5P1tY4NmzZ7C3t8e0adPQtWtXDBs2zOBBEhEREREZUqNGjWBubg5ra2tcuXIFhw4dAgBERUWhatWqsLW1RXp6Oho1amTkSKkskpxE2dnZISMjAwDg7u6OK1euaF9cKSkpho2OiIiIiKgUnD17Fmq1Gk+ePIGlpSVGjRqFJ0+ewM7ODr/++iuePHmircdrouhFkpOo5s2b48CBA/Dx8UGnTp0wZswYnD59GuvWrUPz5s1LI8ZSoVQqoVQqOeMKERERkQnSfPlft25dPHr0CPPmzdOuq169OurWrYtLly6xk4DyJTmJmjNnDh4/fgwAmDJlCh4/fozVq1ejTp06et+Utyzg7HxEREREpistLQ0A0LVrV4SFheHkyZPYuXMn2rVrB39/f2zZsgWzZ8/W1iPKTXISVbt2be3ftra2iIyMNGhARERERESlzcnJCQCwb98+dOzYEX5+frh16xb8/Pwgk8mwf/9+nXpEuUlOomJiYpCTk4PXX39dp/zIkSMwNzdHs2bNDBYcEREREVFpcHV1BQAcPXoUEyZMQEBAAC5cuICsrCwcP34cR48e1alHlJvkJEqhUGDs2LF5kqhbt25h5syZOHLkiMGCIyIiIiIqDb6+vqhWrRrMzMxw5MgRndn5zMzMUL16dQgh4Ovra+RIqSySfJ+o+Pj4fG+q6+/vj/j4eIMERURERERUmszNzdG2bVvcvn073/W3b99GmzZtYG5u/pIjo/JAchJlZWWFO3fu5ClPSkqChYXkji0iIiIiopdOrVZj27ZtAJDnM6xcLgcAbNu2jTM5U74kJ1GhoaEYP348Hj58qC1LS0vDl19+idDQUIMGV5qUSiV8fHwQGBho7FCIiIiI6CWLjY1FWloamjRpgs2bN+OHH35AWFgYfvjhB2zatAlNmjRBWloaYmNjjR0qlUGSk6jZs2fjxo0b8PLyQkhICEJCQuDt7Y3k5GTMnj27NGIsFQqFAvHx8YiJiTF2KERERET0kmmSo4EDB8LMTPcjsZmZGQYMGKBTjyg3yePvatSogbi4OPzxxx84deoUbGxsMHDgQPTq1Uvb9UlEREREVB7ExcVh5syZ2stVtm7dCjc3N3To0MHIkVFZVqyLmOzs7DBkyBBDx0JEVOHduXNHZzg0lQ2JiYna37y+t+xxdHSEm5ubscOgCqZp06b47bffsHz5clhZWemsS0tLw4oVK7T1iF4k+Z3i119/haurKzp16gQAGDt2LJYsWQIfHx+sWrUKXl5eBg+SiKgiuHPnDj7s2w9ZmRnGDoUK8N133xk7BMqH3NIKv/+2gokUGVSTJk0gk8kghICNjQ3Cw8Px+PFj2NvbY9myZcjIyIBMJkOTJk2MHSqVQZKTqG+//RaLFi0CABw6dAgLFy7EvHnzsGnTJowePRrr1q0zeJBERBXBw4cPkZWZgWe12yDH2tHY4RCVC2bpD4Gre/Hw4UMmUWRQp0+fhhACAPD06VPMnTtXu07TMyWEwOnTpxEQEGCUGKnskpxE3bhxA3Xq1AEAbNiwAe+99x6GDBmCFi1aoG3btoaOj4iowsmxdkSOnauxwyAiMmmaCSMGDBiArVu36tzCx9nZGR06dMCvv/6K2NhYJlGUh+TZ+ezt7ZGamgoA2LFjB958800AgLW1NZ49e2bY6IiIiIiIXjJNDxVRQST3RIWGhmLw4MHw9/fHxYsXtddGnT17FrVq1TJ0fEREREREBpd7YonmzZvjgw8+wPnz59GgQQPExMTg119/1dYjepHkJEqpVGLixIm4ceMG1q5di8qVKwMAjh8/jl69ehk8QCIiIiIiQ2vSpAnMzMyQk5OD48eP4/DhwwCAqKgo7W17zMzMOLEE5UtyEuXk5ISFCxfmKZ86dapBAnpZlEollEol1Gq1sUMhIiIiopfs7NmzyMnJAQBkZ2frrNMs5+Tk4OzZs/D393/p8VHZJvmaqIpCoVAgPj4eMTExxg6FiIiIiF6ylJQUAM87CF68BkoIAScnJ516RLnxjoJEREREZHLS0tK0v+3t7WFlZaW9T1RGRobOeqIXMYkiIiIiIpNjb2+v/fvx48d4/PgxACAjI6PAekQaJjucj4iIiIhM14ULF3SWPT090axZM3h6ehZajwhgTxQRERERmaDMzEyd5cTERCQmJhZZjwgoRhLl7+8PmUyWp1wmk8Ha2hp16tTBgAEDEBISYpAAiYiIiIgM7fjx4watR6ZF8nC+t956C1evXoWdnR1CQkLQtm1b2Nvb48qVKwgMDERSUhLefPNN/PPPP6URLxERERFRiel7mxveDofyI7knKiUlBWPGjMGkSZN0yqdPn47r169jx44dmDx5Mr7++mt07drVYIESERERERmKra2t9m9zc3O0atUKarUa5ubm2LdvnzZ5yl2PSENyEvXXX3/l263Zs2dPBAQEYOnSpejVqxfmzJljkACJiIiIiAzN0dFR+7darcaePXuKrEekIXk4n7W1NQ4ePJin/ODBg7C2tgbw/O7OVlZWJY+OiIiIiKgUPHjwQGe5Zs2aqF27NmrWrFloPSKgGD1Rn376KYYOHYrjx48jMDAQMpkMR48exc8//4wvv/wSALB9+3b4+/sbPNj8XLhwAT169NBZXrVqFbp16/ZStk9ERERkqtLT0/Od0a480Nz/yczMDDk5Obh586bOeplMBiEE7O3tcfHiRWOEaBCenp7ajg4yHMlJ1MSJE+Ht7Y2FCxfit99+AwDUr18fS5cuRe/evQEAQ4cOxbBhwwwbaQHq16+P2NhYAM9vlFarVi2Ehoa+lG0TERERmbLExEQMGTLE2GGUSE5OTr7lQggAwPnz58v1Pi5ZsgT16tUzdhgVTrHuE9WnTx/06dOnwPU2NjbFDqgkNm7ciHbt2sHOzs4o2yciIiIyJZ6enliyZImxwyiWnJwcfPrpp8jKyiqwjlwux4IFC2BmJvkKmDLjxZsHk2EU+2a7x48fx7lz5yCTyeDj41Ps4XvR0dH4/vvvcfz4cSQlJWH9+vV5huJFRkbi+++/R1JSEho1aoR58+ahVatWedr666+/0K9fv2LFQURERETSWFtbl+tejkmTJuGrr74qdH2DBg1eYkRUXkhOq+/evYs33ngDgYGBGDFiBIYPH46AgAC0a9cO9+7dkxzAkydP4Ofnh4ULF+a7fvXq1Rg1ahQmTJiAkydPolWrVggLC8sz/lalUuHAgQPo2LGj5BiIiIiIyPS0bt0a06ZNQ9WqVXXK3dzcMG3aNLRu3dpIkVFZV6yJJVQqFc6ePYuGDRsCAOLj49G/f3+MGDECq1atktReWFgYwsLCClw/Z84cDBo0CIMHDwYAzJs3D9u3b8eiRYswY8YMbb1//vkHHTp0KPLCuYyMDGRkZGiXVSoVACArK6vQ7lyquDTPO59/Km3Z2dnGDoGo3MrOzuZ5mkpFUFAQXnvtNWzevBkLFizAp59+ik6dOsHc3JyvOROk73MuOYnatm0b/vvvP20CBQA+Pj5QKpVo37691OYKlZmZiePHj2PcuHE65e3bt88zzfpff/2l10V/M2bMwNSpU/OU79ixgzdTM3FRUVHGDoEquDt37hg7BKJya//+/bh06ZKxw6AKLDU1Vft7+/btRo6GjOXp06d61ZOcROXk5EAul+cpl8vlBc5uUlwpKSlQq9Vwc3PTKXdzc0NycrJ2+eHDhzh69CjWrl1bZJvjx49HRESEdlmlUsHDwwPt27eHg4OD4YKnciMrKwtRUVEIDQ3N97VNZCiXLl3CypUrjR0GUbnUsmVL1K1b19hhUAV27tw5rFy5Es2bN9fpLCDTohmlVhTJSdQbb7yBkSNHYtWqVXB3dwcA3Lp1C6NHj0a7du2kNqcXmUymsyyE0ClzdHTU+xteKysrWFlZQalUQqlUQq1WA3ieBPIDtGnja4BKm4VFsefyITJ5FhYWPEdTqdKco/laM236PveSJ5ZYuHAhHj16hFq1auGVV15BnTp14O3tjUePHmHBggWSAy2Mq6srzM3NdXqdgOeTW7zYOyWVQqFAfHw8YmJiStQOERERERGZFslfi3p4eODEiROIiorC+fPnIYSAj48P3nzzTYMHZ2lpiYCAAERFRaF79+7a8qioKHTt2tXg2yMiIiIiIipKsceWhIaGIjQ0tMQBPH78GJcvX9YuJyQkIDY2Fi4uLvD09ERERAT69u2LZs2aISgoCEuWLEFiYiKGDh1aou2+OJyPiIiIiIhIH3olUT/++KPeDY4YMUJSAMeOHUNISIh2WTPpQ//+/bF8+XL06NEDqampmDZtGpKSktC4cWNs2bIFXl5ekrbzIoVCAYVCAZVKBUdHxxK1RUQkhdmzNGOHQFRu8HghorJIryRq7ty5ejUmk8kkJ1Ft27aFEKLQOuHh4QgPD5fULhFRWWWTEG3sEIiIiKgE9EqiEhISSjuOl47D+YjIWJ55t0aOjZOxwyAqF8yepfGLByIqc0x2vl0O5yMiY8mxcUKOnauxwyAiIqJi0muK8++++w5PnjzRq8EjR45g8+bNJQqKiIiIiIiorNIriYqPj4eXlxeGDRuGrVu34t69e9p12dnZiIuLQ2RkJIKDg9GzZ084ODiUWsBERERERETGpNdwvhUrViAuLg5KpRJ9+vTBw4cPYW5uDisrKzx9+hQA4O/vjyFDhqB///6wsrIq1aANgddEERERERFRceh9TZSvry9++uknLF68GHFxcbh27RqePXsGV1dXNG3aFK6u5Wt8P6+JIiIiIiKi4pA8sYRMJoOfnx/8/PxKIx4iIiIiIqIyzWRn5yMiIiIyhjt37uDhw4fGDoNekJiYqP1tYcGPyGWRo6Mj3NzcjB0GACZRRERERC/NnTt38GHffsjKzDB2KFSA7777ztghUAHkllb4/bcVZSKRMtkkihNLEBER0cv28OFDZGVm4FntNsix5jXZRPoyS38IXN2Lhw8fMokyJk4sQURERMaSY+3Im24TlWN63SeKiIiIiIiInitWT1RMTAzWrFmDxMREZGZm6qxbt26dQQIjIiIiIiIqiyT3RP35559o0aIF4uPjsX79emRlZSE+Ph67du3isDgiIiIiIqrwJCdR3377LebOnYtNmzbB0tIS8+fPx7lz5/DBBx/A09OzNGIsFUqlEj4+PggMDDR2KEREREREVI5ITqKuXLmCTp06AQCsrKzw5MkTyGQyjB49GkuWLDF4gKVFoVAgPj4eMTExxg6FiIiIiIjKEclJlIuLCx49egQAqFGjBs6cOQMASEtLw9OnTw0bHRERERERURkjeWKJVq1aISoqCk2aNMEHH3yAkSNHYteuXYiKikK7du1KI0YiIiIiIqIyQ3IStXDhQqSnpwMAxo8fD7lcjv379+Odd97BpEmTDB4gERERERFRWSI5iXJxcdH+bWZmhrFjx2Ls2LEGDYqIiIiIiKisknxNlLm5Oe7evZunPDU1Febm5gYJioiIiIiIqKySnEQJIfItz8jIgKWlZYkDelk4xTkRERERERWH3sP5fvzxRwCATCbDzz//DHt7e+06tVqN6OhoNGjQwPARlhKFQgGFQgGVSsWbBBMRERERkd70TqLmzp0L4HlP1OLFi3WG7llaWqJWrVpYvHix4SMkIiIiIiIqQ/ROohISEgAAISEhWLduHZydnUstKCIiIiIiorJK8ux8u3fvLo04iIiIiIiIygW9kqiIiAh8/fXXsLOzQ0RERKF158yZY5DAiIiIiIiIyiK9kqiTJ08iKytL+3dBZDKZYaIiIiIiIiIqo/RKonIP4eNwPiIiIiIiMmWS7xOV240bN3Dz5k1DxUJERERERFTmSU6isrOzMWnSJDg6OqJWrVrw8vKCo6MjJk6cqB3yR0REREREVFFJnp1v+PDhWL9+PWbNmoWgoCAAwKFDhzBlyhSkpKSUm3tFKZVKKJVKqNVqY4dCRERERETliOQkatWqVfjzzz8RFhamLfP19YWnpyd69uxZbpIohUIBhUIBlUoFR0dHY4dDRERERETlhOThfNbW1qhVq1ae8lq1asHS0tIQMREREREREZVZkpMohUKBr7/+GhkZGdqyjIwMfPPNNxg+fLhBgyMiIiIiIiprJA/nO3nyJHbu3ImaNWvCz88PAHDq1ClkZmaiXbt2eOedd7R1161bZ7hIiYiIiIiIygDJSZSTkxPeffddnTIPDw+DBURERERERFSWSU6ili1bVhpxEBEREZkMs2dpxg6BqFwpa8eM5CSKiIiIiErGJiHa2CEQUQkUK4n6+++/8ddffyExMRGZmZk6606cOGGQwIiIiIgqqmferZFj42TsMIjKDbNnaWXqywfJSdSPP/6ICRMmoH///vjnn38wcOBAXLlyBTExMVAoFKURIxEREVGFkmPjhBw7V2OHQUTFJHmK88jISCxZsgQLFy6EpaUlxo4di6ioKIwYMQIPHz4sjRiJiIiIiIjKDMlJVGJiIoKDgwEANjY2ePToEQCgb9++WLVqlWGjIyIiIiIiKmMkJ1HVqlVDamoqAMDLywuHDx8GACQkJEAIYdjo9JSQkICQkBD4+PigSZMmePLkiVHiICIiIiKiik9yEvXGG2/g33//BQAMGjQIo0ePRmhoKHr06IHu3bsbPEB9DBgwANOmTUN8fDz27t0LKysro8RBREREREQVn+SJJZYsWYKcnBwAwNChQ+Hi4oL9+/ejc+fOGDp0qMEDLMrZs2chl8vRqlUrAICLi8tLj4GIiIiIiEyH5J4oMzMzWFj8X+71wQcf4Mcff8SIESNgaWkpOYDo6Gh07twZ7u7ukMlk2LBhQ546kZGR8Pb2hrW1NQICArBv3z7tukuXLsHe3h5dunTBq6++im+//VZyDERERERERPqS3BO1bNky2Nvb4/3339cpX7NmDZ4+fYr+/ftLau/Jkyfw8/PDwIED8e677+ZZv3r1aowaNQqRkZFo0aIFfvrpJ4SFhSE+Ph6enp7IysrCvn37EBsbi6pVq+Ktt95CYGAgQkND891eRkYGMjIytMsqlQoAkJWVhaysLEmxU8Wged75/FNpy87ONnYIROVWdnZ2hThP8zxAVDKlfS7Qt23JSdR3332HxYsX5ymvWrUqhgwZIjmJCgsLQ1hYWIHr58yZg0GDBmHw4MEAgHnz5mH79u1YtGgRZsyYgZo1ayIwMBAeHh4AgI4dOyI2NrbAJGrGjBmYOnVqnvIdO3bA1tZWUuxUsURFRRk7BKrg7ty5AwAwS+ftIIj0pTle9u/fj0uXLhk5mpLTnAeIqHhK+1zw9OlTvepJTqKuX78Ob2/vPOVeXl5ITEyU2lyhMjMzcfz4cYwbN06nvH379jh48CAAIDAwEHfu3MGDBw/g6OiI6OhofPLJJwW2OX78eERERGiXVSoVPDw80L59ezg4OBg0fiofsrKyEBUVhdDQUMjlcmOHQxXY3bt3sebvtcDVvcYOhahckVtaoVOnTqhataqxQymxS5cuYeXKlcYOg6jcatmyJerWrVtq7WtGqRVFchJVtWpVxMXFoVatWjrlp06dQuXKlaU2V6iUlBSo1Wq4ubnplLu5uSE5ORkAYGFhgW+//RatW7eGEALt27fH22+/XWCbVlZW+c7eJ5fL+QHaxPE1QKWtRo0a+P23FbwxeRl09epVfPfddxg3bhxq165t7HDoBY6Ojnk+C5RXua8rJyLpLCwsSvXzmr5tSz6Se/bsiREjRqBSpUpo3bo1AGDv3r0YOXIkevbsKbU5vchkMp1lIYROWVFDAvOjVCqhVCqhVqsNEiMRkT7c3NwqzIfBikRznYqnpyfq1atn5GiIiKisk5xETZ8+HdevX0e7du2036bk5OSgX79+Bp8Zz9XVFebm5tpeJ427d++W+EOIQqGAQqGASqWCo6NjidoiIiIiIiLTIXmKc0tLS6xevRoXLlzAH3/8gXXr1uHKlSv43//+V6wpzovaVkBAQJ4L/qOiohAcHFyitpVKJXx8fBAYGFiidoiIiIiIyLQUe2Bu3bp1DXJR1+PHj3H58mXtckJCAmJjY+Hi4gJPT09ERESgb9++aNasGYKCgrBkyRIkJiaW+Ma+7IkiIiIiIqLiMPrVjceOHUNISIh2WTNzXv/+/bF8+XL06NEDqampmDZtGpKSktC4cWNs2bIFXl5exgqZiIiIiIhMmNGTqLZt20IIUWid8PBwhIeHv6SIiIiIiIiICib5mqiKgtdEERERERFRcZhsEqVQKBAfH4+YmBhjh0JEREREROWI3knU06dPoVAoUKNGDVStWhW9e/dGSkpKacZGRERERERU5uidRE2ePBnLly9Hp06d0KtXL0RFRWHYsGGlGVup4nA+IiIiIiIqDr0nlli3bh1++eUX9OzZEwDQp08ftGjRAmq1Gubm5qUWYGnhFOdERERERFQcevdE3bhxA61atdIuv/baa7CwsMDt27dLJTAiIiIiIqKySO8kSq1Ww9LSUqfMwsIC2dnZBg+KiIiIiIiorNJ7OJ8QAgMGDICVlZW2LD09HUOHDoWdnZ22bN26dYaNkIiIiIiIqAzRO4nq379/nrIPP/zQoMG8TEqlEkqlEmq12tihEBERERFROaJ3ErVs2bLSjOOl48QSRERERERUHMW62a4QAikpKUhNTTV0PERERERERGWapCQqOTkZ/fr1g7OzM9zc3FC1alU4Ozvjo48+wp07d0orRiIiIiIiojJD7+F8KpUKwcHBePz4MQYOHIgGDRpACIH4+HisWrUK+/fvx4kTJ2Bvb1+a8RIRERGVe2bpD40dAlG5UtaOGb2TqPnz58Pc3Bxnz55FlSpVdNZNnDgRLVq0wI8//ogvv/zS4EGWBk4sQURERC+bo6Mj5JZWwNW9xg6FqNyRW1qVmbkM9E6iNm/ejC+//DJPAgUAVatWxfjx47F06dJyk0RxYgkiIiJ62dzc3PD7byvw8GHZ+ladgKtXr+K7777DuHHjULt2bWOHQ/lwdHSEm5ubscMAICGJunjxIoKDgwtcHxwcjM8++8wgQRERERFVVG5ubmXmgyD9n+zsbACAp6cn6tWrZ+RoqKzTe2IJlUoFJyenAtc7OTlBpVIZIiYiIiIiIqIyS+8kSggBM7OCq8tkMgghDBIUERERERFRWaX3cD4hBOrVqweZTFbgeiIiIiIioopO7yRq2bJlpRkHERERERFRuaB3EtW/f//SjOOl4xTnRERERERUHHpfE/WiR48eQaVSaX8eP35syLhKnUKhQHx8PGJiYowdChERERERlSN6J1GxsbHo1KmTdtnd3R3Ozs7aHycnJyYkRERERERU4ek9nG/BggVo2bKlTtlvv/2GGjVqQAiB//3vf/jxxx/x22+/GTxIIiIiIiKiskLvJOrAgQMYMGCATlnz5s21d3S2sbHBBx98YNDgiIiIiIiIyhq9h/PduHEDnp6e2uVp06bB1dVVu1y9enXcuXPHsNERERERERGVMXonUVZWVrh586Z2efTo0XBwcNAu37hxA7a2toaNjoiIiIiIqIzRO4ny9/fHhg0bCly/bt06+Pv7GyImIiIiIiKiMkvva6LCw8PRs2dP1KpVC8OGDYOZ2fP8S61WIzIyEgsWLMDKlStLLVAiIiIiIqKyQO8k6t1330VERAQ+/fRTfPnll6hduzZkMhmuXLmCx48fIyIiAu+9915pxkpERERERGR0eidRADBz5kx0794dq1atwqVLlwAArVq1Qq9evdC8efNSCbC0KJVKKJVKqNVqY4dCRERERETliKQkCng+rXl5S5jyo1AooFAooFKp4OjoaOxwiIiIiIionNB7YgkiIiIiIiJiEkVERERERCQJkygiIiIiIiIJJCVRQghcv34dz549K614iIiIiIiIyjTJSVTdunVx8+bN0oqHiIiIiIioTJOURJmZmaFu3bpITU0trXiIiIiIiIjKNMnXRM2aNQuff/45zpw5UxrxEBERERERlWmS7xP14Ycf4unTp/Dz84OlpSVsbGx01t+/f99gwREREREREZU1kpOoefPmlUIYRERERERE5YPkJKp///6lEQcREREREVG5UKz7RF25cgUTJ05Er169cPfuXQDAtm3bcPbsWYMGpy8LCws0bdoUTZs2xeDBg40SAxERERERmQbJSdTevXvRpEkTHDlyBOvWrcPjx48BAHFxcZg8ebLBA9SHk5MTYmNjERsbi59//tkoMRARERERkWmQnESNGzcO06dPR1RUFCwtLbXlISEhOHTokEGDIyIiIiIiKmskJ1GnT59G9+7d85RXqVKlWPePio6ORufOneHu7g6ZTIYNGzbkqRMZGQlvb29YW1sjICAA+/bt01mvUqkQEBCAli1bYu/evZJjICIiIiIi0pfkiSWcnJyQlJQEb29vnfKTJ0+iRo0akgN48uQJ/Pz8MHDgQLz77rt51q9evRqjRo1CZGQkWrRogZ9++glhYWGIj4+Hp6cnAODatWtwd3fHmTNn0KlTJ5w+fRoODg75bi8jIwMZGRnaZZVKBQDIyspCVlaW5Pip/NM873z+iUxXdna29jfPBUSmiecBAvT/PCg5ierduze++OILrFmzBjKZDDk5OThw4AA+++wz9OvXT3KgYWFhCAsLK3D9nDlzMGjQIO2EEfPmzcP27duxaNEizJgxAwDg7u4OAGjcuDF8fHxw8eJFNGvWLN/2ZsyYgalTp+Yp37FjB2xtbSXHTxVHVFSUsUMgIiO5c+cOAODw4cNISEgwcjREZAw8DxAAPH36VK96kpOob775BgMGDECNGjUghICPjw/UajV69+6NiRMnSg60MJmZmTh+/DjGjRunU96+fXscPHgQAPDgwQPY2trCysoKN2/eRHx8PGrXrl1gm+PHj0dERIR2WaVSwcPDA+3bty+w94oqtqysLERFRSE0NBRyudzY4RCREZw7dw4rV65E8+bN0bBhQ2OHQ0RGwPMAAf83Sq0okpMouVyOP/74A9OmTcPJkyeRk5MDf39/1K1bV3KQRUlJSYFarYabm5tOuZubG5KTkwE8f8F/8sknMDMzg0wmw/z58+Hi4lJgm1ZWVrCysspTLpfL+QHaxPE1QGS6LCwstL95HiAyTTwPEAC9n3vJSZTGK6+8ou3xkclkxW1GLy+2L4TQlgUHB+P06dOS21QqlVAqlVCr1QaJkYiIiIiITEOxbrb7yy+/oHHjxrC2toa1tTUaN25cKvdncnV1hbm5ubbXSePu3bt5eqekUigUiI+PR0xMTInaISIiIiIi0yI5iZo0aRJGjhyJzp07Y82aNVizZg06d+6M0aNHG/yaKEtLSwQEBOS54D8qKgrBwcEG3RYREREREZE+JA/nW7RoEZYuXYpevXppy7p06QJfX198+umnmD59uqT2Hj9+jMuXL2uXExISEBsbCxcXF3h6eiIiIgJ9+/ZFs2bNEBQUhCVLliAxMRFDhw6VGroODucjIiIiIqLikJxEqdXqfKcPDwgI0M6vL8WxY8cQEhKiXdbMnNe/f38sX74cPXr0QGpqKqZNm4akpCQ0btwYW7ZsgZeXl+Rt5aZQKKBQKKBSqeDo6FiitoiIiIiIyHRITqI+/PBDLFq0CHPmzNEpX7JkCfr06SM5gLZt20IIUWid8PBwhIeHS26biIiIiIjI0Io1O98vv/yCHTt2oHnz5gCe35Tsxo0b6Nevn849mF5MtMoSDucjIiIiIqLikJxEnTlzBq+++ioA4MqVKwCAKlWqoEqVKjhz5oy2XmlPe15SHM5HRERERETFITmJ2r17d2nEQUREREREVC4U6z5RREREREREpspkkyilUgkfHx8EBgYaOxQiIiIiIipHTDaJUigUiI+PR0xMjLFDISIiIiKicsRkkygiIiIiIqLiYBJFREREREQkQbGSqN9++w0tWrSAu7s7rl+/DgCYN28e/vnnH4MGV5p4TRQRERERERWH5CRq0aJFiIiIQMeOHZGWlqa9Wa2TkxPmzZtn6PhKDa+JIiIiIiKi4pCcRC1YsABLly7FhAkTYG5uri1v1qwZTp8+bdDgiIiIiIiIyhrJSVRCQgL8/f3zlFtZWeHJkycGCYqIiIiIiKiskpxEeXt7IzY2Nk/51q1b4ePjY4iYiIiIiIiIyiwLqf/w+eefQ6FQID09HUIIHD16FKtWrcKMGTPw888/l0aMREREREREZYbkJGrgwIHIzs7G2LFj8fTpU/Tu3Rs1atTA/Pnz0bNnz9KIsVQolUoolUrtxBhERERERET6kJxEAcDHH3+Mjz/+GCkpKcjJyUHVqlUNHVepUygUUCgUUKlUcHR0NHY4RERERERUThQridJwdXU1VBxERERERETlguQkytvbGzKZrMD1V69eLVFAREREREREZZnkJGrUqFE6y1lZWTh58iS2bduGzz//3FBxERERERERlUmSk6iRI0fmW65UKnHs2LESB0RERERERFSWSb5PVEHCwsKwdu1aQzVHRERERERUJhksifr777/h4uJiqOZKnVKphI+PDwIDA40dChERERERlSOSh/P5+/vrTCwhhEBycjLu3buHyMhIgwZXmjjFORERERERFYfkJKpbt246y2ZmZqhSpQratm2LBg0aGCouIiIiIiKiMklyEjV58uTSiIOIiIiIiKhc0CuJUqlUejfo4OBQ7GCIiIiIiIjKOr2SKCcnp0JvsAs8vzZKJpNBrVYbJDAiIiIiIqKySK8kavfu3aUdBxERERERUbmgVxLVpk2b0o6DiIiIiIioXJA8sYTG06dPkZiYiMzMTJ1yX1/fEgdFRERERERUVklOou7du4eBAwdi69at+a7nNVFERERERFSRmUn9h1GjRuHBgwc4fPgwbGxssG3bNvz666+oW7cuNm7cWBoxlgqlUgkfHx8EBgYaOxQiIiIiIipHJPdE7dq1C//88w8CAwNhZmYGLy8vhIaGwsHBATNmzECnTp1KI06DUygUUCgUUKlUcHR0NHY4RERERERUTkjuiXry5AmqVq0KAHBxccG9e/cAAE2aNMGJEycMGx0REREREVEZIzmJql+/Pi5cuAAAaNq0KX766SfcunULixcvRvXq1Q0eIBERERERUVkieTjfqFGjkJSUBACYPHkyOnTogD/++AOWlpZYvny5oeMjIiIiIiIqU/ROorp164bBgwejV69eMDN73oHl7++Pa9eu4fz58/D09ISrq2upBUpERERERFQW6D2c79mzZ+jWrRtq1qyJL7/8EpcuXQIA2Nra4tVXX2UCRUREREREJkHvJGr79u24du0ahg0bhr/++gsNGjRA69atsWLFCjx79qw0YyQiIiIiIiozJE0sUbNmTUyaNAmXL1/Gf//9By8vL4SHh6NatWr45JNPcOTIkdKKk4iIiIiIqEyQPDufRkhICH777TckJSVh1qxZ+Pvvv9GiRQtDxkZERERERFTmSJ6dL7erV69i+fLlWL58OR4+fIg333zTUHERERERERGVSZJ7op49e4YVK1YgJCQEdevWxW+//YbBgwcjISEB27ZtK40Y9fL06VN4eXnhs88+M1oMRERERERU8endE3Xw4EEsW7YMf/31FzIzM9GtWzds3769zPQ+ffPNN3j99deNHQYREREREVVweidRLVu2hJ+fH7755hv06dMHzs7OpRmXJJcuXcL58+fRuXNnnDlzxtjhEBERERFRBab3cL5jx47h5MmTGD58uEETqOjoaHTu3Bnu7u6QyWTYsGFDnjqRkZHw9vaGtbU1AgICsG/fPp31n332GWbMmGGwmIiIiIiIiAqidxL16quvlkoAT548gZ+fHxYuXJjv+tWrV2PUqFGYMGECTp48iVatWiEsLAyJiYkAgH/++Qf16tVDvXr1SiU+IiIiIiKi3Eo0O58hhIWFISwsrMD1c+bMwaBBgzB48GAAwLx587B9+3YsWrQIM2bMwOHDh/Hnn39izZo1ePz4MbKysuDg4ICvvvoq3/YyMjKQkZGhXVapVACArKwsZGVlGXDPqLzQPO98/olMV3Z2tvY3zwVEponnAQL0/zxo9CSqMJmZmTh+/DjGjRunU96+fXscPHgQADBjxgztUL7ly5fjzJkzBSZQmvpTp07NU75jxw7Y2toaMHoqb6KioowdAhEZyZ07dwAAhw8fRkJCgpGjISJj4HmAgOczfuujTCdRKSkpUKvVcHNz0yl3c3NDcnJysdocP348IiIitMsqlQoeHh5o3749HBwcShQvlU9ZWVmIiopCaGgo5HK5scMhIiM4d+4cVq5ciebNm6Nhw4bGDoeIjIDnAQL+b5RaUSQnUW+88QbWrVsHJyenPBvs1q0bdu3aJbXJIslkMp1lIUSeMgAYMGBAkW1ZWVnBysoKSqUSSqUSarUaACCXy/kB2sTxNUBkuiwsLLS/eR4gMk08DxAAvZ97yTfb3bNnDzIzM/OUp6en55k1r6RcXV1hbm6ep9fp7t27eXqnpFIoFIiPj0dMTEyJ2iEiIiIiItOid09UXFyc9u/4+HidxEatVmPbtm2oUaOGQYOztLREQEAAoqKi0L17d215VFQUunbtatBtERERERER6UPvJKpp06aQyWSQyWR444038qy3sbHBggULJAfw+PFjXL58WbuckJCA2NhYuLi4wNPTExEREejbty+aNWuGoKAgLFmyBImJiRg6dKjkbeX24nA+IiIiIiIifeidRCUkJEAIgdq1a+Po0aOoUqWKdp2lpSWqVq0Kc3NzyQEcO3YMISEh2mXNpA/9+/fH8uXL0aNHD6SmpmLatGlISkpC48aNsWXLFnh5eUneVm4KhQIKhQIqlQqOjo4laouIiIiIiEyH3kmUl5cXsrKy0K9fP7i4uJQ4idFo27YthBCF1gkPD0d4eLhBtkdERERERFQSkiaWkMvl+Oeff0orlpdKqVTCx8cHgYGBxg6FiIiIiIjKEcmz83Xr1g0bNmwohVBeLs7OR0RERERExSH5PlF16tTB119/jYMHDyIgIAB2dnY660eMGGGw4IiIiIiIiMoayUnUzz//DCcnJxw/fhzHjx/XWSeTyZhEERERERFRhSY5iUpISCiNOF46TnFORERERETFIfmaqNyEEEXOrFdW8ZooIiIiIiIqjmIlUStWrECTJk1gY2MDGxsb+Pr64rfffjN0bERERERERGWO5OF8c+bMwaRJkzB8+HC0aNECQggcOHAAQ4cORUpKCkaPHl0acRIREREREZUJkpOoBQsWYNGiRejXr5+2rGvXrmjUqBGmTJnCJIqIiIiIiCo0ycP5kpKSEBwcnKc8ODgYSUlJBgnqZeDNdomIiIiIqDgkJ1F16tTBX3/9lad89erVqFu3rkGCehk4sQQRERERERWH5OF8U6dORY8ePRAdHY0WLVpAJpNh//792LlzZ77JFRERERERUUUiuSfq3XffxZEjR+Dq6ooNGzZg3bp1cHV1xdGjR9G9e/fSiJGIiIiIiKjMkNwTBQABAQH4/fffDR0LERERERFRmVesJEqtVmP9+vU4d+4cZDIZGjZsiK5du8LColjNGYVSqYRSqYRarTZ2KEREREREVI5IznrOnDmDrl27Ijk5GfXr1wcAXLx4EVWqVMHGjRvRpEkTgwdZGhQKBRQKBVQqFRwdHY0dDhERERERlROSr4kaPHgwGjVqhJs3b+LEiRM4ceIEbty4AV9fXwwZMqQ0YiQiIiIiIiozJPdEnTp1CseOHYOzs7O2zNnZGd988w3vuURERERERBWe5J6o+vXr486dO3nK7969izp16hgkKCIiIiIiorJKchL17bffYsSIEfj7779x8+ZN3Lx5E3///TdGjRqFmTNnQqVSaX+IiIiIiIgqGsnD+d5++20AwAcffACZTAYAEEIAADp37qxdlslknPmOiIiIiIgqHMlJ1O7du0sjjpeOU5wTEREREVFxSE6i2rRpUxpxvHSc4pyIiIiIiIqjWHfHTU9PR1xcHO7evYucnByddV26dDFIYERERERERGWR5CRq27Zt6NevH1JSUvKs43VQRERERERU0UmenW/48OF4//33kZSUhJycHJ0fJlBERERERFTRSU6i7t69i4iICLi5uZVGPERERERERGWa5CTqvffew549e0ohFCIiIiIiorJP8jVRCxcuxPvvv499+/ahSZMmkMvlOutHjBhhsOCIiIiIiIjKGslJ1MqVK7F9+3bY2Nhgz5492hvuAs8nlmASRUREREREFZnkJGrixImYNm0axo0bBzMzyaMBiYiIiIiIyjXJWVBmZiZ69OhR7hMopVIJHx8fBAYGGjsUIiIiIiIqRyRnQv3798fq1atLI5aXSqFQID4+HjExMcYOhYiIiIiIyhHJw/nUajVmzZqF7du3w9fXN8/EEnPmzDFYcERERERERGWN5CTq9OnT8Pf3BwCcOXNGZ13uSSaIiIiIiIgqIslJ1O7du0sjDiIiIiIionKhfM8OQURERERE9JLp3RP1zjvv6FVv3bp1xQ6GiIiIiIiorNM7iXJ0dCzNOIiIiIiIiMoFvZOoZcuWlWYcRERERERE5QKviSIiIiIiIpKASRQREREREZEETKKIiIiIiIgkKPdJ1KNHjxAYGIimTZuiSZMmWLp0qbFDIiIiIiKiCkzyzXbLGltbW+zduxe2trZ4+vQpGjdujHfeeQeVK1c2dmhERERERFQBlfueKHNzc9ja2gIA0tPToVarIYQwclRERERERFRRGT2Jio6ORufOneHu7g6ZTIYNGzbkqRMZGQlvb29YW1sjICAA+/bt01mflpYGPz8/1KxZE2PHjoWrq+tLip6IiIiIiEyN0YfzPXnyBH5+fhg4cCDefffdPOtXr16NUaNGITIyEi1atMBPP/2EsLAwxMfHw9PTEwDg5OSEU6dO4c6dO3jnnXfw3nvvwc3NLd/tZWRkICMjQ7usUqkAAFlZWcjKyiqFPaSyTvO88/knMl3Z2dna3zwXEJkmngcI0P/zoNGTqLCwMISFhRW4fs6cORg0aBAGDx4MAJg3bx62b9+ORYsWYcaMGTp13dzc4Ovri+joaLz//vv5tjdjxgxMnTo1T/mOHTu0wwLJNEVFRRk7BCIykjt37gAADh8+jISEBCNHQ0TGwPMAAcDTp0/1qmf0JKowmZmZOH78OMaNG6dT3r59exw8eBDA8xe8jY0NHBwcoFKpEB0djWHDhhXY5vjx4xEREaFdVqlU8PDwQPv27eHg4FA6O0JlWlZWFqKiohAaGgq5XG7scIjICM6dO4eVK1eiefPmaNiwobHDISIj4HmAgP8bpVaUMp1EpaSkQK1W5xma5+bmhuTkZADAzZs3MWjQIAghIITA8OHD4evrW2CbVlZWsLKyylMul8v5AdrE8TVApL/09HQkJiYaOwyDuX37tva3tbW1kaMxHE9Pzwq1P0SlycLCQvubnwdMl77PfZlOojRkMpnOshBCWxYQEIDY2FjJbSqVSiiVSqjVakOESERkUhITEzFkyBBjh2Fw3333nbFDMKglS5agXr16xg6DiKjCKdNJlKurK8zNzbW9Thp3794tcOIIfSkUCigUCqhUKjg6OpaoLSIiU+Pp6YklS5YYOwyDyc7Oxv79+9GyZUvtt9EVgWYCJiIiMqwy/U5haWmJgIAAREVFoXv37tryqKgodO3a1YiRERGZNmtr6wrVw5GVlYVLly6hbt26HMZDRERFMnoS9fjxY1y+fFm7nJCQgNjYWLi4uMDT0xMRERHo27cvmjVrhqCgICxZsgSJiYkYOnRoibbL4XxERERERFQcRk+ijh07hpCQEO2yZua8/v37Y/ny5ejRowdSU1Mxbdo0JCUloXHjxtiyZQu8vLxKtF0O5yMiIiIiouIwehLVtm1bCCEKrRMeHo7w8PCXFBEREREREVHBzIwdgLEolUr4+PggMDDQ2KEQEREREVE5YrJJlEKhQHx8PGJiYowdChERERERlSMmm0QREREREREVB5MoIiIiIiIiCUw2ieI1UUREREREVBwmm0TxmigiIiIiIioOk02iiIiIiIiIioNJFBERERERkQQmm0TxmigiIiIiIioOk02ieE0UEREREREVh8kmUURERERERMXBJIqIiIiIiEgCJlFEREREREQSMIkiIiIiIiKSwGSTKM7OR0RERERExWGySRRn5yMiIiIiouIw2SSKiIiIiIioOJhEERERERERScAkioiIiIiISAImUURERERERBIwiSIiIiIiIpLAZJMoTnFORERERETFYbJJFKc4JyIiIiKi4jDZJIqIiIiIiKg4mEQRERERERFJwCSKiIiIiIhIAiZRREREREREEjCJIiIiIiIikoBJFBERERERkQRMooiIiIiIiCRgEkVERERERCSBySZRSqUSPj4+CAwMNHYoRERERERUjphsEqVQKBAfH4+YmBhjh0JEREREROWIySZRRERERERExcEkioiIiIiISAImUURERERERBIwiSIiIiIiIpKASRQREREREZEETKKIiIiIiIgkYBJFREREREQkAZMoIiIiIiIiCZhEERERERERSVDuk6gbN26gbdu28PHxga+vL9asWWPskIiIiIiIqAKzMHYAJWVhYYF58+ahadOmuHv3Ll599VV07NgRdnZ2xg6NiIiIiIgqoHKfRFWvXh3Vq1cHAFStWhUuLi64f/8+kygiIiIiIioVRh/OFx0djc6dO8Pd3R0ymQwbNmzIUycyMhLe3t6wtrZGQEAA9u3bl29bx44dQ05ODjw8PEo5aiIiIiIiMlVGT6KePHkCPz8/LFy4MN/1q1evxqhRozBhwgScPHkSrVq1QlhYGBITE3Xqpaamol+/fliyZMnLCJuIiIiIiEyU0YfzhYWFISwsrMD1c+bMwaBBgzB48GAAwLx587B9+3YsWrQIM2bMAABkZGSge/fuGD9+PIKDgwvdXkZGBjIyMrTLKpUKAJCVlYWsrKyS7g6VQ5rnnc8/kenieYCIsrOztb95LjBd+j73Rk+iCpOZmYnjx49j3LhxOuXt27fHwYMHAQBCCAwYMABvvPEG+vbtW2SbM2bMwNSpU/OU79ixA7a2toYJnMqlqKgoY4dAREbG8wCR6bpz5w4A4PDhw0hISDByNGQsT58+1atemU6iUlJSoFar4ebmplPu5uaG5ORkAMCBAwewevVq+Pr6aq+n+u2339CkSZN82xw/fjwiIiK0yyqVCh4eHmjfvj0cHBxKZ0eoTMvKykJUVBRCQ0Mhl8uNHQ4RGQHPA0R07tw5rFy5Es2bN0fDhg2NHQ4ZiWaUWlHKdBKlIZPJdJaFENqyli1bIicnR++2rKysYGVlBaVSCaVSCbVaDQCQy+V84zRxfA0QEc8DRKbLwsJC+5vnAdOl73Nv9IklCuPq6gpzc3Ntr5PG3bt38/ROSaVQKBAfH4+YmJgStUNERERERKalTCdRlpaWCAgIyDNGPSoqqsgJJIiIiIiIiEqD0YfzPX78GJcvX9YuJyQkIDY2Fi4uLvD09ERERAT69u2LZs2aISgoCEuWLEFiYiKGDh1aou2+OJyPiIiIiKRJT0/Pc9uZ8kqzH4mJidqhfRWBp6cnrK2tjR1GhWP0V8ixY8cQEhKiXdZM+tC/f38sX74cPXr0QGpqKqZNm4akpCQ0btwYW7ZsgZeXV4m2q1AooFAooFKp4OjoWKK2iIiIiExRYmIihgwZYuwwDOq7774zdggGtWTJEtSrV8/YYVQ4Rk+i2rZtCyFEoXXCw8MRHh7+kiIiIiIiIn14enpiyZIlxg7DILKzs7F//360bNmywvVEkeFVnFeIRBzOR0RERFQy1tbWFaaXIysrC5cuXULdunU5Ox8VqUxPLFGaODsfEREREREVh8kmUURERERERMXBJIqIiIiIiEgCk02ilEolfHx8EBgYaOxQiIiIiIioHDHZJIrXRBERERERUXGYbBJFRERERERUHEyiiIiIiIiIJDDZJIrXRBERERERUXGYbBLFa6KIiIiIiKg4TDaJIiIiIiIiKg4mUURERERERBIwiSIiIiIiIpKASRQREREREZEEJptEcXY+IiIiIiIqDpNNojg7HxERERERFYfJJlFERERERETFwSSKiIiIiIhIAgtjB2BsQggAgEqlMnIkZCxZWVl4+vQpVCoV5HK5scMhIiPgeYCIeB4g4P9yAk2OUBCTT6IePXoEAPDw8DByJEREREREVBY8evQIjo6OBa6XiaLSrAouJycHt2/fRqVKlSCTyYwdDhmBSqWCh4cHbty4AQcHB2OHQ0RGwPMAEfE8QMDzHqhHjx7B3d0dZmYFX/lk8j1RZmZmqFmzprHDoDLAwcGBJ00iE8fzABHxPECF9UBpcGIJIiIiIiIiCZhEERERERERScAkikyelZUVJk+eDCsrK2OHQkRGwvMAEfE8QFKY/MQSREREREREUrAnioiIiIiISAImUURERERERBIwiSIiIiIiIpKASRSRgWzYsAF16tSBubk5Ro0aheXLl8PJyUm7fsqUKWjatKnR4iMqCwxxHFy7dg0ymQyxsbEAgD179kAmkyEtLa3E8eXXvrE9ffoU7777LhwcHLT7WatWLcybN09bRyaTYcOGDUaLkaikDH0cm4rz58+jefPmsLa2RtOmTUv9/Ej/h0kUvRQDBgyATCbDd999p1O+YcMGyGQyI0VlWJ988gnee+893LhxA19//XWe9Z999hl27typd3v8UETGpDlmZTIZ5HI5ateujc8++wxPnjwpUbtSjwN9BAcHIykpSa+bIxrS5cuXMXDgQNSsWRNWVlbw9vZGr169cOzYMYNu59dff8W+fftw8ODBAvczKSkJYWFherXHL3SoIMnJyfj0009Ru3ZtWFlZwcPDA507dzb4Mdu2bVuMGjVKp8xYx3Fp2b17Nzp27IjKlSvD1tYWPj4+GDNmDG7dumXQ7UyePBl2dna4cOFCvs+T1Mc1v+eG8sckil4aa2trzJw5Ew8ePDB2KAb3+PFj3L17Fx06dIC7uzsqVaqUp469vT0qV65shOiIiuett95CUlISrl69iunTpyMyMhKfffZZsdoSQiA7O7tUjgNLS0tUq1btpX4hc+zYMQQEBODixYv46aefEB8fj/Xr16NBgwYYM2aMQbd15coVNGzYEI0bNy5wP6tVq8ZpmalErl27hoCAAOzatQuzZs3C6dOnsW3bNoSEhEChUJT69o1xHJeWn376CW+++SaqVauGtWvXIj4+HosXL8bDhw8xe/Zsg27rypUraNmyJby8vPI9t1akx7XMEUQvQf/+/cXbb78tGjRoID7//HNt+fr160Xul+Hff/8tfHx8hKWlpfDy8hI//PCDTjteXl7im2++EQMHDhT29vbCw8ND/PTTT0Vu/8yZM6Jjx46iUqVKwt7eXrRs2VJcvnxZCCGEWq0WU6dOFTVq1BCWlpbCz89PbN26Vfu/CQkJAoBYu3ataNu2rbCxsRG+vr7i4MGDQgghdu/eLQDo/OzevVssW7ZMODo6atuZPHmy8PPz04nrl19+0e5vtWrVhEKh0O5n7va8vLz0epyJDKV///6ia9euOmWDBw8W1apVE0IIkZOTI2bOnCm8vb2FtbW18PX1FWvWrNHW1RwX27ZtEwEBAUIul4tdu3blOQ6KOv6EEOLIkSOiadOmwsrKSgQEBIh169YJAOLkyZM623rw4IH2f/bv3y9at24tbGxshJOTk2jfvr24f/++EEKIrVu3ihYtWghHR0fh4uIiOnXqpD0fCPF/x7ym/Rfl5OSIRo0aiYCAAKFWq/Oszx1HXFycCAkJEdbW1sLFxUV8/PHH4tGjR3ke5++//15Uq1ZNuLi4iPDwcJGZmSmEEKJNmzY654I2bdoIIZ6fI+bOnattB4BYv369dvnGjRuiR48ewtnZWdja2oqAgABx+PBhsWzZsjznq2XLluW7n2RawsLCRI0aNcTjx4/zrMv9mr5+/bro0qWLsLOzE5UqVRLvv/++SE5O1q7XHOMrVqwQXl5ewsHBQfTo0UOoVCohxPPX/IuvwYSEhDzHseY9dNu2baJBgwbCzs5OdOjQQdy+fVu7rTZt2oiRI0fqxNq1a1fRv39/7fL9+/dF3759hZOTk7CxsRFvvfWWuHjxYp54c5s7d67O++7u3btFYGCgsLW1FY6OjiI4OFhcu3Yt38fxxo0bwtLSUowaNSrf9bkfy5J+5nnxcZw8eXKe85eU82NBzw3ljz1R9NKYm5vj22+/xYIFC3Dz5s08648fP44PPvgAPXv2xOnTpzFlyhRMmjQJy5cv16k3e/ZsNGvWDCdPnkR4eDiGDRuG8+fPF7jdW7duoXXr1rC2tsauXbtw/PhxfPTRR8jOzgYAzJ8/H7Nnz8YPP/yAuLg4dOjQAV26dMGlS5d02pkwYQI+++wzxMbGol69eujVqxeys7MRHByMCxcuAADWrl2LpKQkBAcHF/l4LFq0CAqFAkOGDMHp06exceNG1KlTBwAQExMDAFi2bBmSkpK0y0TGZGNjg6ysLADAxIkTsWzZMixatAhnz57F6NGj8eGHH2Lv3r06/zN27FjMmDED586dg6+vb542izr+njx5grfffhv169fH8ePHMWXKlCJ7w2JjY9GuXTs0atQIhw4dwv79+9G5c2eo1WptmxEREYiJicHOnTthZmaG7t27IycnR6/HITY2FmfPnsWYMWNgZpb3bVRzLeTTp0/x1ltvwdnZGTExMVizZg3+++8/DB8+XKf+7t27ceXKFezevRu//vorli9frj3vrVu3Dh9//DGCgoKQlJSEdevWFRnf48eP0aZNG9y+fRsbN27EqVOnMHbsWOTk5KBHjx4YM2YMGjVqhKSkJCQlJaFHjx567TdVXPfv38e2bdugUChgZ2eXZ73mNS2EQLdu3XD//n3s3bsXUVFRuHLlSp7X0JUrV7BhwwZs2rQJmzZtwt69e7XD+efPn4+goCB8/PHH2tegh4dHvnE9ffoUP/zwA3777TdER0cjMTFRcm/4gAEDcOzYMWzcuBGHDh2CEAIdO3bUnsuKkp2djW7duqFNmzaIi4vDoUOHMGTIkAJ7dtasWYPMzEyMHTs23/Wax9IQn3mSkpLQqFEjjBkzBklJSXo9NoWdH6U8NwT2RNHLkftb7ebNm4uPPvpICKHbE9W7d28RGhqq83+ff/658PHx0S57eXmJDz/8ULuck5MjqlatKhYtWlTgtsePHy+8vb213+y+yN3dXXzzzTc6ZYGBgSI8PFwI8X/fSv/888/a9WfPnhUAxLlz54QQz79Zwv/vgdIoqifK3d1dTJgwocC48cI3y0Qv04s9UUeOHBGVK1cWH3zwgXj8+LGwtrbW9sZqDBo0SPTq1UsI8X/ffm7YsEGnTn7HQWHH308//SRcXFzEkydPtOsXLVpU6DetvXr1Ei1atNB7X+/evSsAiNOnTwshiu6JWr16tQAgTpw4UWi7S5YsEc7Ozjrf7G/evFmYmZlpv7nv37+/8PLyEtnZ2do677//vujRo4d2eeTIkdoeKI3CeqJ++uknUalSJZGamppvXPl9806m7ciRIwKAWLduXaH1duzYIczNzUViYqK2TPN+ePToUSHE89eXra2ttudJiOfv5a+//rp2Ob8epPx6ogDo9BIrlUrh5uZWaDu5e6IuXrwoAIgDBw5o16ekpAgbGxvx119/aeMtrCcqNTVVABB79uwp9LHRGDZsmHBwcCiynqE+8/j5+YnJkydrl4vqiSrq/JjfY0r5Y08UvXQzZ87Er7/+ivj4eJ3yc+fOoUWLFjplLVq0wKVLl7TfIAPQ+TZbJpOhWrVquHv3LgAgLCwM9vb2sLe3R6NGjQA8/9alVatWkMvleWJRqVS4fft2vts9d+6cTlnu7VavXh0AtNuV6u7du7h9+zbatWtXrP8nehk2bdoEe3t7WFtbIygoCK1bt8aCBQsQHx+P9PR0hIaGao83e3t7rFixAleuXNFpo1mzZgW2r8/xd+7cOfj5+cHW1la7PigoqNC4Nd+0FuTKlSvo3bs3ateuDQcHB3h7ewMAEhMTC21XQwgBAEVeY6CJPfc3+y1atEBOTo629xoAGjVqBHNzc+1y9erVi31uAZ7vv7+/P1xcXIrdBpkWKa9pDw8Pnd4JHx8fODk56bxn1qpVS+fa4OK+pm1tbfHKK68Uu51z587BwsICr7/+urascuXKqF+/fp73+IK4uLhgwIAB6NChAzp37oz58+cjKSmpwPpCCL2uPzLEZ57iKOr8SPpjEkUvXevWrdGhQwd8+eWXOuX5nXg0J/bcXkyGZDKZdhjOzz//jNjYWMTGxmLLli0Ang9BKkp+232xLPd2Nev0Hf7zIn1iIjK2kJAQxMbG4sKFC0hPT8e6detQtWpV7et+8+bN2uMtNjYW8fHx+Pvvv3XayG9o0IsKO/7yOwcUpajjq3PnzkhNTcXSpUtx5MgRHDlyBACQmZmpV/v16tUDgCI/hBX2YSp3eWHntOLg+YWkqlu3LmQyWbFf0y+WG+o1nV87uc8JZmZmec4RuYfpFXT+yB1vUW0Az4fWHzp0CMHBwVi9ejXq1auHw4cP59t2vXr18PDhw0ITrRdjKCxenh/KLiZRZBTfffcd/v33Xxw8eFBb5uPjg/379+vUO3jwIOrVq6fzLW1hatSogTp16qBOnTrw8vIC8PxbnH379uU7/tnBwQHu7u75brdhw4ZSd0tvlSpVQq1atQqdNlYul+t8G0X0stnZ2WmPpdxv5D4+PrCyskJiYqL2eNP8SBk/r8/x5+Pjg1OnTuHZs2fa9QV9eNHw9fUt8NhKTU3FuXPnMHHiRLRr1w4NGzaUPGNo06ZN4ePjg9mzZ+f7YUZzPxYfHx/ExsbqTAt/4MABmJmZaROx0uDr64vY2Fjcv38/3/WWlpY8t5AOFxcXdOjQAUqlMt/bGOR+TScmJuLGjRvadfHx8Xj48KGk90xDvQarVKmik6yo1WqcOXNGu+zj44Ps7GztFyXA83PAxYsXtfFWqVIFycnJOglMfveI8/f3x/jx43Hw4EE0btwYK1euzDem9957D5aWlpg1a1a+63M/liX9zFMchZ0fAZ4fpGASRUbRpEkT9OnTBwsWLNCWjRkzBjt37sTXX3+Nixcv4tdff8XChQuLPaWyxvDhw6FSqdCzZ08cO3YMly5dwm+//aYdTvP5559j5syZWL16NS5cuIBx48YhNjYWI0eOLNF2izJlyhTMnj0bP/74Iy5duoQTJ07oPB6aJCs5OblCTgtP5VelSpXw2WefYfTo0fj1119x5coVnDx5EkqlEr/++quktoo6/nr37g0zMzMMGjQI8fHx2LJlC3744YdC2xw/fjxiYmIQHh6OuLg4nD9/HosWLUJKSgqcnZ1RuXJlLFmyBJcvX8auXbsQEREhKWaZTIZly5bh4sWLaN26NbZs2YKrV68iLi4O33zzDbp27QoA6NOnD6ytrdG/f3+cOXMGu3fvxqeffoq+ffvCzc1N0jal6NWrF6pVq4Zu3brhwIEDuHr1KtauXYtDhw4BeH5uSUhIQGxsLFJSUpCRkVFqsVD5ERkZCbVajddeew1r167FpUuXcO7cOfz444/aIbRvvvkmfH190adPH5w4cQJHjx5Fv3790KZNm0KH7r6oVq1aOHLkCK5du4aUlJRi96y88cYb2Lx5MzZv3ozz588jPDxc56aydevWRdeuXfHxxx9j//79OHXqFD788EPUqFFDe5y2bdsW9+7dw6xZs3DlyhUolUps3bpV20ZCQgLGjx+PQ4cO4fr169ixY4dOEvYiDw8PzJ07F/Pnz8egQYOwd+9eXL9+HQcOHMAnn3yivY9kaX3mKUph50fAcM+NKWASRUbz9ddf63zz8+qrr+Kvv/7Cn3/+icaNG+Orr77CtGnTMGDAgBJtp3Llyti1a5d2xqqAgAAsXbpU+836iBEjMGbMGIwZMwZNmjTBtm3bsHHjRtStW7dE2y1K//79MW/ePERGRqJRo0Z4++23dWYEnD17NqKiouDh4QF/f/9SjYVIqq+//hpfffUVZsyYgYYNG6JDhw74999/tdcX6auo48/e3h7//vsv4uPj4e/vjwkTJmDmzJmFtlmvXj3s2LEDp06dwmuvvYagoCD8888//6+9+4+pqv7jOP48XhA0hauNypJ2IbheLlfQFSSwoUwY1dR+4NJylbqigjAKiv5kLTcgXNhE/U+cNsTNjTkq/HGXznR1UXbnFhdEpqPsljWGZralcvvDbyevIHL5Ufnt9djYOOd87vu872GD++LzuecSFhbGpEmT2LVrFydOnMDlcvHWW2/x4Ycfhvz809PTOX78OA899BCvvPIKSUlJLFu2jG+++Ya6ujrg+vs59u3bR19fH2lpaSxfvpzFixezadOmkM8XismTJ7N//37uuecennjiCebOnUtVVZX53+2CggIee+wxcnJyiImJobGxcUL7kTtDXFwc7e3t5OTkUFZWhsvlIi8vD7fbzZYtW4C/PgR+xowZZGdnk5ubS3x8PE1NTSGdq7y8HIvFgtPpJCYmZsTvR7zZ2rVreemll8wgFxcXR05OTtCYbdu28fDDD7NkyRIyMjIIBAJ89tln5muApKQkNm/eTH19PampqXg8nqAgM3XqVDo7OykoKMBut1NYWMgbb7zBq6++esu+ioqK2L9/P+fOnePpp5/G4XDw8ssvExUVZdaeqNc8tzPc70cYv5/Nf4ERGM2CcxERERERkf8ozUSJiIiIiIiEQCFKREREREQkBApRIiIiIiIiIVCIEhERERERCYFClIiIiIiISAgUokREREREREKgECUiIiIiIhIChSgREREREZEQKESJiMgdIxAIUFhYyMyZMzEMA6/Xy6JFiygtLTXH2Gw26urq/rEeRUTk/59ClIiIjIsffviBkpIS4uPjiYiIIDY2lqVLl+J2u8ftHK2trTQ0NNDS0oLf78flcg0a09bWRmFh4YjqNTQ0YLVaQ+7j9OnTrF27lgcffJCIiAgeeOABFi9ezCeffMLVq1dDriciIneWsH+6ARERufOdPXuWrKwsrFYrNTU1pKSkcOXKFfbt20dxcTGdnZ3jcp6enh5mzZpFZmbmLcfExMSMy7luxePxkJubS3JyMvX19TgcDi5dukRHRwdbt27F5XKRmpo65GOvXLlCeHj4hPYnIiITTzNRIiIyZkVFRRiGgcfjYfny5djtdpKTk3n77bf56quvAOjt7eXJJ59k2rRpREVF8eyzz/Ljjz+aNSorK5k3bx47duzAZrMRHR3NypUr+eWXXwBYvXo1JSUl9Pb2YhgGNpttyF5uXs7X399PYWEh9957L5GRkbhcLlpaWjh06BBr1qzhwoULGIaBYRhUVlYO+zwDgQCrV6/Gbrdz9OhRli5dSmJiIvPnz2fVqlUcOXKElJQU4HqwNAyD3bt3s2jRIiIjI9m5cycDAwO8//77zJ49m4iICObNm0dra6t5jkOHDmEYBv39/eY+r9eLYRicPXsW+GsGrbm5GbvdTmRkJHl5eXz77bcj/ImJiMhYKESJiMiY9PX10draSnFxMXfdddeg41arlUAgwFNPPUVfXx+HDx/mwIED9PT0sGLFiqCxPT09NDc309LSQktLC4cPH6aqqgqAjRs3muHD7/fT1tZ2294GBgZ4/PHHOXbsGDt37qSjo4OqqiosFguZmZnU1dURFRWF3+/H7/dTXl4+bD2v14vP56O8vJxJk4b+E2oYRtB2RUUF69atw+fzkZ+fz8aNG9mwYQO1tbWcPHmS/Px8li1bRnd3922fz40uX77M+vXr2b59O0ePHuXixYusXLkypBoiIjI6Ws4nIiJjcvr0aQKBAA6H45ZjDh48yMmTJzlz5gyxsbEA7Nixg+TkZNra2khLSwOuh56GhgamT58OwAsvvIDb7Wb9+vVER0czffp0LBYL991334h6O3jwIB6PB5/Ph91uByA+Pt48Hh0djWEYI6536tQpAObMmWPuO3/+fFDNmpoaioqKzO3S0lKeeeYZc7u2tpaKigoz8FRXV/PFF19QV1dHfX39iPqA60sDN23axKOPPgrA9u3bSUpKwuPxkJ6ePuI6IiISOs1EiYjImAQCAWDwDMyNfD4fsbGxZoACcDqdWK1WfD6fuc9ms5kBCmDWrFmcP39+1L15vV5mz55tBqjxcuNzvfvuu/F6vXi9XqxWK7///nvQ2EceecT8/uLFi3z//fdkZWUFjcnKygq6DiMRFhYWVNvhcAy6niIiMjEUokREZEwSExMxDGPYF++BQGDIkHXz/ptvumAYBgMDA6PubcqUKaN+7FASExMBgm6UYbFYSEhIICEhgbCwwQs8hlriePO1uPE6/LlM8M9wCtdnnYYy1DUdLsyKiMj4UIgSEZExmTlzJvn5+dTX1/Prr78OOt7f34/T6aS3tzfoxgcdHR1cuHCBpKSkCestJSWF7777zlyGd7PJkydz7dq1EdebP38+DoeD2traUYW7qKgo7r//fr788sug/ceOHTOvw593F/T7/eZxr9c7qNbVq1c5fvy4ud3V1UV/f/+wyypFRGR8KESJiMiYbd68mWvXrpGens6ePXvo7u7G5/Px8ccfk5GRQW5uLikpKaxatYr29nY8Hg8vvvgiCxcuDFqSNt4WLlxIdnY2BQUFHDhwgDNnzvD555+bd8Oz2WxcunQJt9vNzz//zOXLl4etZxgG27Zto6uri6ysLPbu3Ut3d7d5e/OffvoJi8UybI133nmH6upqmpqa6Orq4r333sPr9fLmm28CkJCQQGxsLJWVlZw6dYpPP/2UDRs2DKoTHh5OSUkJX3/9Ne3t7axZs4YFCxbo/VAiIn8DhSgRERmzuLg42tvbycnJoaysDJfLRV5eHm63my1btmAYBs3NzcyYMYPs7Gxyc3OJj4+nqalpwnvbs2cPaWlpPPfcczidTt59911z9ikzM5PXXnuNFStWEBMTQ01NzW3rLViwgBMnTjBnzhyKi4txOp1kZmbS2NjIRx99xOuvvz7s49etW0dZWRllZWXMnTuX1tZW9u7day4VDA8Pp7Gxkc7OTlJTU6muruaDDz4YVGfq1KlUVFTw/PPPk5GRwZQpU9i1a9corpCIiITKCNy46FpERET+9RoaGigtLQ36LCkREfn7aCZKREREREQkBApRIiIi/3PkyBGmTZt2yy8RERHQcj4RERHTb7/9xrlz5255PCEh4W/sRkRE/q0UokREREREREKg5XwiIiIiIiIhUIgSEREREREJgUKUiIiIiIhICBSiREREREREQqAQJSIiIiIiEgKFKBERERERkRAoRImIiIiIiITgDxRlW7rsIXzMAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Ensure 'GDP_per_capita' exists, otherwise set to a default value (e.g., 1 to avoid division by zero)\n",
+ "if \"GDP_per_capita\" not in df.columns:\n",
+ " # If you have GDP and population columns, uncomment and use the following:\n",
+ " # df[\"GDP_per_capita\"] = df[\"GDP\"] / df[\"Population\"]\n",
+ " # Otherwise, set to a default value to avoid error\n",
+ " df[\"GDP_per_capita\"] = 1 # Replace with actual calculation if data is available\n",
+ "\n",
+ "# Create conflict intensity metric (Value_USD per GDP capita)\n",
+ "df[\"Conflict_Intensity\"] = df.apply(\n",
+ " lambda x: x[\"Value_USD\"] / x[\"GDP_per_capita\"] if x[\"GDP_per_capita\"] > 0 else 0,\n",
+ " axis=1,\n",
+ ")\n",
+ "\n",
+ "# Plot intensity by conflict group\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "sns.boxplot(\n",
+ " data=df,\n",
+ " x=\"Conflict_Group\",\n",
+ " y=\"Conflict_Intensity\",\n",
+ " order=[\"Non-conflict\", \"Periodical Conflict\", \"Continuous Conflict\"],\n",
+ ")\n",
+ "plt.title(\"Solar Adoption Intensity (USD/GDP per capita) by Conflict Group\")\n",
+ "plt.yscale(\"log\")\n",
+ "plt.ylabel(\"Import Value per GDP capita (log scale)\")\n",
+ "plt.grid(True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e4b0194b",
+ "metadata": {},
+ "source": [
+ "## Analysis 6: Heatmap of Solar Import Shares Across Conflict and Economic Group\n",
+ "\n",
+ "This code creates a heatmap visualization showing the distribution of solar import values as percentages of total imports, broken down by conflict group, GDP status, and product category. The heatmap helps identify which solar products are most commonly imported within each economic and conflict context, revealing patterns in solar adoption across different country groups."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "71ddf802",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAABGoAAAPdCAYAAADS345FAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd1QT2d8G8Ce0gDRpAhZQFKxYEBVsYAEL4tpdO3Ysa8He69p13bXvKth7wd4V7KgoKopdbIAoigoKUub9gzfBIQECyhr393zO4Rxyc2fmzmTuzOSbWySCIAggIiIiIiIiIqIfTuNHF4CIiIiIiIiIiDIwUENEREREREREpCYYqCEiIiIiIiIiUhMM1BARERERERERqQkGaoiIiIiIiIiI1AQDNUREREREREREaoKBGiIiIiIiIiIiNcFADRERERERERGRmmCghoiIiIiIiIhITTBQQ2pn7dq1kEgkuHr1qtL3W7RogZIlSxZoGS5cuICpU6ciPj6+QLejLk6ePAlnZ2fo6+tDIpEgMDBQIY+7uzskEkmuf1OnTs11e5s3b8bixYu/qczu7u5wd3dXKV+lSpW+aVs/0qdPnzB16lQEBQXlmvfPP/+ERCLBkSNHss3zzz//QCKRYPfu3SqXQdVjXVAePXoEqVSKixcvisqU3ef65s0bpediSEgIWrduDRsbG0ilUlhaWsLV1RUjRowQ5fv6XNfQ0IChoSHKlCmD9u3bY+fOnUhPTxflT0lJQenSpVU+p4OCgiCRSLBz506V8ueX7Foq+9PS0kLx4sXRs2dPvHz5skC3LaPqNSG/li9fjrVr1+ZpmeTkZCxduhR169aFiYkJdHR0UKxYMXTo0AHBwcF5LkNe6uh/3atXrzB+/HhUrVoVRkZG0NHRQfHixdGmTRvs27cPaWlp8ryyeiD709HRgYWFBerUqYMJEybg6dOnCuv/1nM6Li4O48aNQ4UKFaCvrw9jY2OUK1cO3bp1w82bN+X5vsczwKFDhwr03FfF9OnTUaFCBdE1K6f7t4+PT4GUoyDuIT4+PgrPggV9vcmJRCLB4MGDlb63c+dOSCQS0TVi6tSpkEgk+dpWbs/Jqjp37hw6deokvyfq6+ujYsWKGDFiBO7evSvK6+PjIzpX9PX1UbJkSbRs2RIBAQFITk5WWH/W50Y9PT1UqVIFixcvFp2T3bp1Q6tWrb5pX/5NJUuWVLmufPjwAb///jucnZ1hZGQEqVSKkiVLolevXrh27VqBlvPLly/w9fWFtbU1NDU1UbVqVQCK5Y+MjIREIsnzvfTOnTuYOnUqIiMj87TczZs30bt3b5QuXRp6enrQ09ODvb09+vfv/83n9H+N1o8uAJE6unDhAqZNmwYfHx8ULlz4RxenQAmCgA4dOsDBwQH79u2Dvr4+ypYtq5Bv+fLl+PDhg/z1wYMHMXPmTAQEBKBcuXLy9OLFi+e6zc2bNyM8PBzDhg37LvvwX/bp0ydMmzYNAHJ90O3atSvGjBkDf39/NG3aVGmegIAAWFhYwNvb+3sXtcCMHDkSHh4ecHV1zfc6Dh48iJYtW8Ld3R3z5s2DtbU1oqOjcfXqVWzduhULFy4U5bezs8OmTZsAAImJiXjy5AkCAwPRvn171KtXD/v374exsTEAQFtbG5MnT8bw4cPRrVs3mJmZ5X9nC4Csjn7+/BlnzpzB7NmzERwcjFu3bkFfX/9HF++bLF++HObm5io/NL958wZNmzbFzZs30atXL4waNQqmpqZ4+fIl9u7di0aNGiE0NBRVqlRRuQx5qaP/ZZcuXULLli0hCAIGDBgAFxcXGBgY4NmzZ9i/fz/atGmDVatWoXfv3qLlZs2ahQYNGiAtLQ1xcXEICQmBv78//vjjD/zzzz/o0qWLwrbyc04nJCTAxcUFCQkJGDVqFKpUqYLPnz/j/v372L17N8LCwlC5cmUA3+cZ4NChQ1i2bNkPCxxERUVh3rx5WLt2LTQ0xL/LtmvXTiFADQAWFhb/VvEKxMWLF1V6BlEHffr0yfY+/W+YOHEifv/9d7i6umLixImwt7dHamoqbt68iXXr1mHRokVITU2FpqamfBk9PT2cOnUKAPD582c8f/4chw8fRt++fbFw4UIcOXJE4fh/fS+NjY3FypUrMXz4cERHR2Pu3LkAMoJW5cqVw6lTp9CwYcN/6QgUvEePHsHT0xOxsbHw9fXFtGnTYGBggMjISGzfvh3Vq1dHfHy8/Fnie1uxYgVWrVqFJUuWoHr16jAwMFCaz9raGhcvXkTp0qXztP47d+5g2rRpcHd3V/kH9FWrVmHw4MEoW7Yshg4diooVK0IikSAiIgJbtmxBjRo18PDhwzyX5b+KgRqi/3FRUVF4+/YtWrdujUaNGmWbr0KFCqLXsl9bKlWqBGdn5wIt4/8iQRCQlJSUp2XMzMzwyy+/IDAwEHFxcQoBg7t37+LixYsYMWIEtLW1v2dxC0xERAQCAwNzbCWkinnz5qFUqVI4evQotLQyb32//vor5s2bp5BfT08PLi4uorQ+ffogICAAvXr1Qr9+/bBt2zb5e506dYKfnx9WrVqF8ePHf1NZv7ev66jsC/GMGTMQGBio9EswkBF8KFSo0L9ZzH9F9+7dcePGDRw9elThC8Gvv/4KPz8/mJiY/KDSFbyC+lzj4+PRqlUrGBgY4Pz587C2tha937VrV9y8eRNxcXEKy9rb24vqWsuWLTFixAg0btwYPj4+qFy5MhwdHUXL5Oec3rFjBx4+fIhTp06hQYMGovf8/PwUWsr97P78808ULlwYbdq0UXjP0tJS4fr2X/Az7VPx4sV/WFBpy5Yt+P333+Hr64vly5eLWvZ4eHjAz88Py5cvV1hOQ0ND4Rh3794dPXv2RIsWLdCuXTtcunRJ9H7We2mzZs1Qrlw5LF26FDNnzoS2tjZKly6Npk2bYs6cOf+ZQE1aWhpat26NN2/e4OLFi6IWwG5ubujRowcOHz5coM9i4eHh0NPTy7all4xUKv1X6s758+cxcOBAeHl5YefOndDR0ZG/17BhQwwaNAg7duyAnp5ejuv5rz6fKMOuT/SfIAgCli9fjqpVq0JPTw8mJiZo164dHj9+LMp3/Phx/PLLLyhevDh0dXVRpkwZ9O/fH2/evJHnmTp1KkaNGgUAKFWqlLzJpqzJasmSJdGiRQscOHAA1apVg56eHsqXL48DBw4AyGiSWr58eejr66NmzZoKzfiuXr2KX3/9FSVLloSenh5KliyJTp06KTTzljVtPX78OHr27AlTU1Po6+vD29tbYb+yc+7cOTRq1AiGhoYoVKgQateujYMHD4r2VfagMGbMGEgkkm/qVpaeno558+ahXLlykEqlKFKkCLp3744XL17I87i7u+PgwYN4+vSpqEmszLRp01CrVi2YmprCyMgITk5OWLNmDQRByHe5spI1UQ4ICEDZsmWhp6cHZ2dnXLp0CYIgYP78+ShVqhQMDAzQsGFDPHz4ULS8rNvN2bNn4eLiAj09PRQrVgyTJk0SNe0HgLdv32LgwIEoVqwYdHR0YGdnhwkTJig0E5aVaeXKlShfvjykUinWrVsn/4Vz2rRpKjVP7927N758+YLNmzcrvBcQEAAA6NWrl3yd+TnWsi4LWbt6ZNd89urVq2jZsiVMTU2hq6uLatWqYfv27TluQ2bFihWwsrKCh4eHSvmzExcXB3Nzc1GQRibrr8056dmzJ5o3b44dO3aI6qyOjg46duyIv//+W+VzNSkpCX5+frCysoKenh7c3Nxw/fp1+fsbNmyARCIRdfmSmT59OrS1tREVFaVy2WVkD2Sy8vv4+MDAwAC3bt2Cp6cnDA0N5UFbVc/fDx8+oG/fvjAzM4OBgQGaNm2K+/fvK2xbWXcFQHk3gPT0dCxZskR+XS9cuDBcXFywb98+ABnX4tu3byM4OFheN3K6foWGhuLw4cPo3bt3tl8GatSoARsbGwDA69evMXDgQFSoUAEGBgYoUqQIGjZsiLNnz8rzR0ZG5lpHHzx4gM6dO6NIkSKQSqUoX748li1bprDt27dvw9PTE4UKFYKFhQUGDRqEgwcPKq1r/v7+qFKlCnR1dWFqaorWrVsjIiJClCe7z3XGjBnQ0tLC8+fPFcrQq1cvmJmZ5TlI/M8//+DVq1fy1mrKVK5cWSFAkh1TU1OsWrUKqamp+OOPP3LNn/WcVkYWJMqufLLrQG7PANu2bYOnpyesra3l9/+xY8ciMTFRvi4fHx/5Z/z1fS4yMjLHbgZZu+68fv0a/fr1Q4kSJSCVSuVdw06cOJHj8fjy5QvWrFmDzp075+n6JvPmzRuUKFECtWvXRkpKijz9zp070NfXR7du3eRpudVTZfJ6D1m7di3Kli0rrz/r169Xut6sx0/2HHX69GkMGDAA5ubmMDMzQ5s2bRSuncnJyRgxYgSsrKxQqFAh1K9fH6GhoXnq5pIXyq55eS3Dx48fc90vZWbOnAlzc3P88ccfSrtfSSQSDBo0SNSaJieenp7o27cvQkJCcObMmRzzamtro3r16vj06RNev34tT+/WrRtOnDiBR48eqbTNrPL6bK3KOZGSkoLRo0fLP4+6devi8uXLKpUnMDAQt27dwrhx47Ltpt2sWTNRwCG3Z/a8lF8ikWD16tX4/Pmz/PqTXdem7Ord3bt30alTJ1haWkIqlcLGxgbdu3dHcnIy1q5di/bt2wPICJbntg0go/WkpqYmVq1aJQrSfK19+/YoWrSo/PW3Pp/k5Xorq5PXr19HmzZtYGRkBGNjY3Tt2lV0rv6bGKghtZWWlobU1FSFP2Vfgvr3749hw4ahcePGCAwMxPLly3H79m3Url0br169kud79OgRXF1dsWLFChw7dgyTJ09GSEgI6tatK38Y6dOnD3777TcAwO7du3Hx4kVcvHgRTk5O8vXcuHED48aNw5gxY7B7924YGxujTZs2mDJlClavXo1Zs2Zh06ZNeP/+PVq0aIHPnz/Ll42MjETZsmWxePFiHD16FHPnzkV0dDRq1KghChjJ9O7dGxoaGvJxXS5fvgx3d/dc+84HBwejYcOGeP/+PdasWYMtW7bA0NAQ3t7e8pYAffr0kY9V8ttvv+HixYvYs2ePip+QogEDBmDMmDHw8PDAvn37MGPGDBw5cgS1a9eW79vy5ctRp04dWFlZyY/t119EIyMj0b9/f2zfvh27d+9GmzZt8Ntvv2HGjBn5LpcyBw4cwOrVqzFnzhxs2bIFHz9+hJeXF0aMGIHz589j6dKl+Pvvv3Hnzh20bdtW4byLiYnBr7/+ii5dumDv3r1o164dZs6ciaFDh8rzJCUloUGDBli/fj38/Pxw8OBBdO3aFfPmzVP6K2dgYCBWrFiByZMn4+jRo3B1dZW3JOndu7f8WE2aNCnb/WrcuDFsbW3h7+8vSk9LS8OGDRvg4uIibx31bxzr06dPo06dOoiPj8fKlSuxd+9eVK1aFR07dlSpP/TBgwdRv379fH3Z+JqrqytCQkIwZMgQhISEiL585JWse8fXX9iBjADe06dPER4ertJ6xo8fj8ePH2P16tVYvXo1oqKi4O7uLg/EduzYEVZWVgpf6lNTU7Fq1Sq0bt1a9ECjKlng8etuDl++fEHLli3RsGFD7N27F9OmTVP5/BUEAa1atcKGDRswYsQI7NmzBy4uLmjWrFmey/Y1Hx8fDB06FDVq1MC2bduwdetWtGzZUt4ffs+ePbCzs0O1atXkdSOn69exY8cAQOWxEN6+fQsAmDJlCg4ePIiAgADY2dnB3d1d/gXT2to6xzp6584d1KhRA+Hh4Vi4cCEOHDgALy8vDBkyRN5dCgCio6Ph5uaGe/fuYcWKFVi/fj0+fvyo9JfQ2bNno3fv3qhYsSJ2796NP//8Ezdv3oSrqysePHggyqvsc+3fvz+0tLSwatUqhf3dunUrevfuDV1dXZWOkczx48ehqamJ5s2b52m5nNSoUQPW1ta5fvEDlJ/TWcm6Tnbv3l3e6lCZ3J4BHjx4gObNm2PNmjU4cuQIhg0bhu3bt4u6k06aNAnt2rUDANF9LrsgUXa6deuGwMBATJ48GceOHcPq1avRuHHjbMsuExISgri4uGwDY4Ig5Ph8ZW5ujq1bt+LKlSsYM2YMgIxfsdu3bw8bGxusXLlSvq7c6um3Wrt2LXr27Iny5ctj165dmDhxImbMmCHvgqOKPn36QFtbG5s3b8a8efMQFBSErl27ivL07NkTixcvRs+ePbF37160bdsWrVu3ztM4RdkdV1Vba+W1DKrsV1ZRUVG4c+cOPDw88lzPc9KyZUsAUKm+Pnr0CFpaWqLWi+7u7hAEAYcOHcrX9vP6bK3Ksevbty8WLFiA7t27yz+PNm3a4N27d7mWJ6/3G1We2fNS/osXL6J58+bQ09OTX3+8vLxUKguQ8T2nRo0auHTpEqZPn47Dhw9j9uzZSE5OxpcvX+Dl5YVZs2YBAJYtW5brNtLS0nD69Gk4Ozvn+Tr4Lc8n+dG6dWuUKVMGO3fuxNSpUxEYGIgmTZp803NjvglEaiYgIEAAkOOfra2tPP/FixcFAMLChQtF63n+/Lmgp6cnjB49Wul20tPThZSUFOHp06cCAGHv3r3y9+bPny8AEJ48eaKwnK2traCnpye8ePFCnhYWFiYAEKytrYXExER5emBgoABA2LdvX7b7m5qaKiQkJAj6+vrCn3/+qXAcWrduLcp//vx5AYAwc+bMbNcpCILg4uIiFClSRPj48aNoW5UqVRKKFy8upKenC4IgCE+ePBEACPPnz89xfVnJynflyhVBEAQhIiJCACAMHDhQlC8kJEQAIIwfP16e5uXlJfoMs5OWliakpKQI06dPF8zMzORlFgRBcHNzE9zc3HJdh5ubm1CxYkVRGgDByspKSEhIkKfJPquqVauKtrN48WIBgHDz5k3ROrOeM4IgCH379hU0NDSEp0+fCoIgCCtXrhQACNu3bxflmzt3rgBAOHbsmKhMxsbGwtu3b0V5X79+LQAQpkyZkuu+ykyZMkUAIFy7dk2etn//fgGA8M8//yhdJi/H+vTp0wIA4fTp06J1yM6lgIAAeVq5cuWEatWqCSkpKaK8LVq0EKytrYW0tLRs9+PVq1cCAGHOnDkK7yn7XGWUHbM3b94IdevWlV9DtLW1hdq1awuzZ88W1ZHc1i0IgnD48GEBgDB37lxR+oMHDwQAwooVK7JdVhAyj5+Tk5PoOEdGRgra2tpCnz595GlTpkwRdHR0hFevXsnTtm3bJgAQgoODc9yOrI5eunRJSElJET5+/CgcOHBAsLCwEAwNDYWYmBhBEAShR48eAgDB399ftLyq56/seHx9/RIEQfj9998VPocePXoorfuyc1bmzJkzAgBhwoQJOe5jxYoVVboOCIIg+Pr6CgCEu3fvqpQ/q9TUVCElJUVo1KiR6LqcUx1t0qSJULx4ceH9+/ei9MGDBwu6urry+j5q1ChBIpEIt2/fVlj+67r27t07QU9PT2jevLko37NnzwSpVCp07txZnpbd5yp7r0iRIkJycrI8be7cuYKGhobS+15uypUrJ1hZWSmky64rsr+v67usHuzYsSPb9daqVUvQ09OTv1b1nM7O9OnTBR0dHfl1oFSpUoKvr69w48YNUb6cngG+JnuOCA4OFgCI1jNo0CDROS2j7Dopk/U8MjAwEIYNG5ZjGZSR1VFlxyOnZ6sNGzYoXc+ePXuEHj16CHp6eqJ7oar1NL/3kLS0NKFo0aLZXiuzXkuyHj/Z+ZL1uWTevHkCACE6OloQBEG4ffu2AEAYM2aMKN+WLVsEAEKPHj1y3D/ZtnP7+3p/s17z8lIGVfdLmUuXLgkAhLFjxyq8J7vGyf6+PuY9evQQ9PX1s12v7BlwwIAB8jTZvVS2vqioKGHs2LECAKF9+/YK6yhWrJjQsWPHbLeRF7k9W+d27GT7M3z4cFG+TZs2qXRONG3aVAAgJCUlqVReVZ/Z8/LZZ/eZ2draisqv7JrUsGFDoXDhwkJsbGy2Zd6xY4fSeqxMTEyMAED49ddfFd7L7bz7lueTvFxvZXUyu89848aNue7n98YWNaS21q9fjytXrij81a1bV5TvwIEDkEgk6Nq1q+gXDCsrK1SpUkXUtFY2oFeJEiWgpaUFbW1t2NraAoBCs/GcVK1aFcWKFZO/Ll++PICMXwS+bsYoS/+66WVCQgLGjBmDMmXKQEtLC1paWjAwMEBiYqLSMmTtb1+7dm3Y2tri9OnT2ZYvMTERISEhaNeunWjwME1NTXTr1g0vXrzAvXv3VN5fVcjKk7V5bs2aNVG+fHmcPHlSpfWcOnUKjRs3hrGxMTQ1NeUDtcbFxSE2Nva7lbdBgwaiQSdln1WzZs1ETYGVfYYAYGhoKP8FSaZz585IT0+X/6J06tQp6Ovry39ZlZEdo6zHpGHDht9lfIyePXtCQ0ND1KomICAA+vr66NixozytoI/1w4cPcffuXfk5/HX9bN68OaKjo3M8D2XNeIsUKfLNZTEzM8PZs2dx5coVzJkzB7/88gvu37+PcePGwdHRUekvbtkRsunaJCunqjMqde7cWXSu2draonbt2qK6PWDAAAAZXUtkli5dCkdHR9SvX1+l7bi4uEBbWxuGhoZo0aIFrKyscPjwYVhaWorytW3bVvRa1fNXVt6s16rOnTurVD5lDh8+DAAYNGhQvtfxPaxcuRJOTk7Q1dWV3zNOnjyp0v0iKSkJJ0+eROvWrVGoUCGF8z8pKUk+nkNwcDAqVaqkMBZYp06dRK8vXryIz58/K1xnS5QogYYNGyq9zmb9XAFg6NChiI2NxY4dOwBkdF9ZsWIFvLy8vuusin5+ftDW1pb/Zb1m5ia7uqbqOZ3VpEmT8OzZM/j7+6N///4wMDDAypUrUb16dWzZskWlMj1+/BidO3eGlZWV/Lrp5uYGIG/PEaqoWbMm1q5di5kzZ+LSpUsq/6IbFRUFiUQCc3Nzpe936NBB6fNV1hZRo0aNgpeXFzp16oR169ZhyZIlovGCCrqe3rt3D1FRUdleK1WV9byTDRotu6/LZnvr0KGDKF+7du2UdpfNTnbHVTZobk7yU4bc9iuvzMzMRPV1165dKi+bXV29ffu2fH1FixbFwoUL0aVLF9E9TaZIkSL5npEwr8/WuR277O5rHTp0yNM5oYr8PLN/78/+a58+fUJwcDA6dOhQIAOMnzlzBt7e3ihatCgkEgnKlCkjOu+yTu4AiO9jSUlJmDNnDiQSCTp16iRqtfT180lwcLC8pePo0aNFLQFzkt1nntP3roLCwYRJbZUvX17pILXGxsaivvWvXr2CIAjZPqDZ2dkByHgQ9fT0RFRUFCZNmgRHR0fo6+sjPT0dLi4uou5JuTE1NRW9lvW1zC796/7+nTt3xsmTJzFp0iTUqFEDRkZGkEgkaN68udIyWFlZKU3Lqenzu3fvIAiC0uaFsq4SuTWdzquc+v8XLVpUpZvH5cuX4enpCXd3d/zzzz8oXrw4dHR0EBgYiN9//z1Pn1FuvuUzBKD0fJN9VrJjERcXBysrK4U+4EWKFIGWlpbCZ5DX5qDZsbW1RaNGjbB582YsWLAAHz9+xIEDB9C5c2cYGhoC+HeOtazb4ciRIzFy5EileXIKkMjKoKx5tpaWlsJ4QDKpqakAoHSQPmdnZ/l1JSUlBWPGjMEff/yBefPmKR1UWBnZuZy125GsnKoeu+zq9o0bN+SvLS0t0bFjR6xatQpjx47F7du3cfbsWYVuKzlZv349ypcvDy0tLVhaWio9zwoVKgQjIyNRmqrnb1xcHLS0tBQGr1a2f6p6/fo1NDU1v2kdWcnGnnny5InSme2yWrRoEUaMGAFfX1/MmDED5ubm0NTUxKRJk1T6Qh4XF4fU1FQsWbIES5YsUZpHdv7HxcWhVKlSCu9nvc7kdp09fvy4KE3Z5woA1apVQ7169bBs2TJ06dIFBw4cQGRkZJ7Oq6/Z2NjgwYMHCoM8jhgxQt4cP69BGgB49uyZ0u59qpzT2bG0tETPnj3Rs2dPABlfGpo1a4ahQ4cqBMaySkhIQL169aCrq4uZM2fCwcEBhQoVwvPnz9GmTZvveo8CMsbDmTlzJlavXo1JkybBwMAArVu3xrx583KsG58/f4a2tna2Y4xYWFioNAmAbLylgwcPwsrKSjQ2DVAw9fRrsvM9u2ulqt2rsl6bpFIpgMxrtWw7WeubsutaTrI7rqqUMz9lyG2/lClRogQA5V/og4KCkJqaitDQUPj6+uZa5q9ld18sXbo0tm7dColEAl1dXZQqVSrbgWB1dXXzXYfy+myt6jmR9dxT9Zz4+n7z9cyoyuTnmT0/n72q3r17h7S0tO862LW5uTn09PTw9OlTJCYmokqVKujZsyfatm0LPz8/uLq6Ijo6Wul9Iut9LC0tDSkpKTA3NxcNSwFkPp9ERkaiefPm6NixI8LDw+Vdji0sLJT+ePG17D7z7/29SRUM1NBPz9zcHBKJBGfPnpVfqL4mSwsPD8eNGzewdu1a9OjRQ/5+1oFiC9L79+9x4MABTJkyBWPHjpWnJycny8dDyComJkZpWpkyZbLdjomJCTQ0NBAdHa3wnqyVQna/tOWX7KYRHR2tcHGPiopSaXtbt26FtrY2Dhw4IPpyHhgY+F3L+j18PfaRjOyzkh0LMzMzhISEQBAE0Zfd2NhYpKamKhwTZYP65Vfv3r1x/Phx7N27F1FRUfjy5YtoWtxvOday/FkHlM0adJHt37hx47LtM5zTF2bZ8srqhqWlJa5cuaJwbIHMFi25/bqura2NKVOm4I8//lB5XBkA2LdvHyQSiUKLFlk5Va1b2dXtrA9gQ4cOxYYNG7B3714cOXIEhQsXznZmG2WyC3p/Tdm5p+r5a2ZmhtTUVIWZxpTtn66ursJ5AyieOxYWFkhLS0NMTMx3C2A2adIE48ePR2BgoErT4m7cuBHu7u5YsWKFKP3jx48qbc/ExET+i2h2LQ5kwRkzM7McrykyX19ns1J2nc3pmjJkyBC0b98e165dw9KlS+Hg4JDvQbs9PDxw7NgxHDp0SNQCq0SJEvIvhtkNHpmdy5cvIyYmRmE6b0C1c1pV9evXh6enJwIDAxEbG5tjC75Tp04hKioKQUFB8lY0API0jkl2109lXwLMzc2xePFiLF68GM+ePcO+ffswduxYxMbG5jgTnrm5Ob58+YLExMRspytXRXR0NAYNGoSqVavi9u3bGDlyJP766y/5+/mtp6reQ2Tne3bXyu9Ftp1Xr16JWkvLrmv/hn+rDEWLFkXFihVx/PhxJCUlie7/VatWBZARkMwr2eDR7u7uonRdXV2V6+rbt2/z1aIvP8/Wufn63MvP59GkSRP8/fffCAwMFJVJmR/xzJ4TU1NTaGpqiiYC+Vaamppo2LAhjh07hqpVq4rGsCtRogScnZ3lAc3U1FSMHj0amzZtQmxsLNLT0xEUFCQ/t/T19VGnTh0cOnQIVlZWouuv7PkkMjISNjY2mDVrFgICAuDi4gKpVIoFCxagbdu2OX6G2X3meQnafi/s+kQ/vRYtWkAQBLx8+VL+a/nXf7JmurIH1qzBHGW/IH7PyPTXJBIJBEFQKMPq1auzbR2wadMm0esLFy7g6dOnCjfDr+nr66NWrVrYvXu3aB/S09OxceNGFC9eHA4ODvnfESVks6hs3LhRlH7lyhVERESIpv6WSqVKj61EIoGWlpboV8DPnz9jw4YN37Ws38PHjx8VZrXYvHkzNDQ05F/gGzVqhISEBIXgh2zGipymQ5fJ77nYqlUrmJmZwd/fHwEBAXBwcBB1G/yWYy17kLp586YoPevxKFu2LOzt7XHjxg2lddPZ2VnewkcZW1tb6OnpKZ0FonHjxvjw4YPSLyvbt2+HhoaGaGYfZQ9AQGZXBVUH5Q0ICMDhw4fRqVMn+S9mMrJBgLN2X8nOli1bRM3Fnz59igsXLijU7erVq6N27dqYO3cuNm3aBB8fn2/68qUqVc9f2YClWa9VymYeK1myJGJjY0VBiS9fvuDo0aOifLKHuKxBkqyyu5Yo4+TkhGbNmmHNmjXZDkR69epVPHv2DEBGHcl6rb5586bCLFzZ1dFChQqhQYMGuH79OipXrqz0/Jc9+Lm5uSE8PBx37twRrWPr1q2i166urtDT01O4zr548QKnTp1S6Zoi07p1a9jY2GDEiBE4ceIEBg4cmO9gcZ8+fWBpaYnRo0dnW9fy4u3bt/D19YW2tjaGDx/+zesDMr4AKxvUNS0tDQ8ePEChQoVQuHBhANl/pt/jOcLS0hK6uroK18+9e/fmWH4bGxsMHjwYHh4euHbtWo55Zb/g53cGHSDjuHTq1AkSiUQ+kOiSJUvkExAAqtfTrPJyD7G2ts72Wvm9yO7ZWQdt3blzp7yFZkH7N8swYcIEvHnzBn5+ft9lRs3jx49j9erVqF27tsLwBKpKTU3F8+fPVb5/fi0/z9a5kd2Hs97Xtm/frtLn8csvv8DR0RGzZ8/O9oego0eP4tOnTz/kmT0nslkod+zYkWOr57w+n44bNw5paWnw9fXNsRvn9u3bcf78eWzduhXe3t7Q0tJC06ZNRYPly55PZPdrGdnzyadPn+Dp6Sm63jZp0gRXr15FSkpKjtfb7D7znL53FRS2qKGfXp06ddCvXz/07NkTV69eRf369aGvr4/o6GicO3cOjo6OGDBgAMqVK4fSpUtj7NixEAQBpqam2L9/v0JTcQDy4M6ff/6JHj16QFtbG2XLls3xS6UqjIyMUL9+fcyfPx/m5uYoWbIkgoODsWbNGvkDYlZXr15Fnz590L59ezx//hwTJkxAsWLFMHDgwBy3NXv2bHh4eKBBgwYYOXIkdHR0sHz5coSHh2PLli3ftfUGkPFA1a9fPyxZsgQaGhpo1qwZIiMjMWnSJJQoUUL0sO3o6Ijdu3djxYoVqF69OjQ0NODs7AwvLy8sWrQInTt3Rr9+/RAXF4cFCxYobSn1o5mZmWHAgAF49uwZHBwccOjQIfzzzz8YMGCA/At89+7dsWzZMvTo0QORkZFwdHTEuXPnMGvWLDRv3hyNGzfOdTuGhoawtbXF3r170ahRI5iamsrPnZxIpVJ06dIFS5YsgSAImDNnjuj9bznWVlZWaNy4MWbPng0TExPY2tri5MmTogd4mVWrVqFZs2Zo0qQJfHx8UKxYMbx9+xYRERG4du2afIwMZXR0dODq6iofx+NrXbp0wfLly9GhQweMHTsWNWrUwOfPn+Wfw2+//Sbv9ghk/LpVvHhxeHt7o1y5ckhPT0dYWBgWLlwIAwMD0WxdQMaDh2y7nz9/xuPHjxEYGIgDBw7Azc1NaV/nS5cuQVNTU+WxY2JjY9G6dWv07dsX79+/x5QpU6Crq4tx48Yp5B06dCg6duwIiUSSa93/XlQ9fz09PVG/fn2MHj0aiYmJcHZ2xvnz55UG/Tp27IjJkyfj119/xahRo5CUlIS//vpL4WG6Xr166NatG2bOnIlXr16hRYsWkEqluH79OgoVKiSflcfR0RFbt27Ftm3bYGdnB11dXdEYGlmtX78eTZs2RbNmzdCrVy80a9YMJiYmiI6Oxv79+7FlyxaEhobCxsYGLVq0wIwZMzBlyhT5jEzTp09HqVKlRA/qOdXRP//8E3Xr1kW9evUwYMAAlCxZEh8/fsTDhw+xf/9+ecBo2LBh8Pf3R7NmzTB9+nRYWlpi8+bNuHv3LoDMqaMLFy6MSZMmYfz48ejevTs6deqEuLg4TJs2Dbq6upgyZYrKn6+mpiYGDRqEMWPGQF9fX+n0v7IZdwICAnKcorhw4cIIDAyEt7c3qlSpggEDBsDFxQUGBgaIi4vDmTNnEBMTo3RckQcPHuDSpUtIT09HXFwcQkJCsGbNGnz48AHr169HxYoVVd6nnGzYsAGrVq1C586dUaNGDRgbG+PFixdYvXo1bt++jcmTJ8tb/WT3DFC7dm2YmJjA19cXU6ZMgba2NjZt2iTqrigjW8fcuXPRrFkzaGpqonLlytDR0UHXrl3h7++P0qVLo0qVKrh8+bJCYPP9+/do0KABOnfujHLlysHQ0BBXrlzBkSNHcp3VRPaF4tKlS/KxK7726tUrpddVIyMj+RflKVOm4OzZszh27BisrKwwYsQIBAcHo3fv3qhWrRpKlSqlcj3NStV7iIaGBmbMmIE+ffrIr5Xx8fGYOnXqd+1uVbFiRXTq1AkLFy6U//J/+/ZtLFy4EMbGxt8866C6laFTp064ffs2fv/9d9y4cQM+Pj6wt7dHeno6nj9/Lr92Z33mTU9Pl583ycnJePbsGQ4fPozt27ejfPny2L59e77LdPPmTXz69ElhpjJ3d3cEBwfnGFDKz7N1bsqXL4+uXbti8eLF0NbWRuPGjREeHo4FCxYo7U6alaamJvbs2QNPT0+4urpiwIAB8rERnz59ip07d2L//v3yGaT+7Wf23CxatAh169ZFrVq1MHbsWJQpUwavXr3Cvn37sGrVKhgaGsqnHf/7779haGgo79qWXcuTOnXqYNmyZfjtt9/g5OSEfv36Acjo8fD582f5mEhhYWF48eIFihYtijVr1kBbWxsuLi4ICAiQzzQlez45e/YsypUrhxMnToieTx48eABLS0v5GKb+/v7Q0NBAamoqJk+ejAMHDmS777t374aWlhY8PDxw+/ZtTJo0CVWqVFEYP+pf8W+PXkyUm6yzCWWV3YxB/v7+Qq1atQR9fX1BT09PKF26tNC9e3fh6tWr8jx37twRPDw8BENDQ8HExERo37698OzZM6UzdowbN04oWrSooKGhIRrV3NbWVvDy8lLYPgBh0KBBojRlMyq9ePFCaNu2rWBiYiIYGhoKTZs2FcLDwxVGYZcdh2PHjgndunUTChcuLJ/t48GDB7kcxQxnz54VGjZsKD8mLi4uwv79+3MtoyqUfU5paWnC3LlzBQcHB0FbW1swNzcXunbtKjx//ly07Nu3b4V27doJhQsXFiQSiWjmA39/f6Fs2bKCVCoV7OzshNmzZwtr1qxRmIHjW2d9UuWzEgTlM5PI1hkUFCQ4OzsLUqlUsLa2FsaPH68wu1FcXJzg6+srWFtbC1paWoKtra0wbtw4hZkAlJVJ5sSJE0K1atUEqVSq8gwUgiAIN27cEAAImpqaQlRUlML733Kso6OjhXbt2gmmpqaCsbGx0LVrV+Hq1atKR9e/ceOG0KFDB6FIkSKCtra2YGVlJTRs2FBYuXJlrvuwZs2abMv/4cMHYfTo0YK9vb2go6MjFCpUSHB2dhZWrlwpmjVAEDJmSurcubNgb28vGBgYCNra2oKNjY3QrVs34c6dO6K8slm9ZH/6+vqCnZ2d0K5dO2HHjh3ZzlRVr149wdvbO9d9kp1TGzZsEIYMGSJYWFgIUqlUqFevnuh69bXk5GRBKpUKTZs2zXX9MrldS2Vyms1D1fM3Pj5e6NWrl1C4cGGhUKFCgoeHh3D37l2l19ZDhw4JVatWFfT09AQ7Ozth6dKlCjOgCELG9eSPP/4QKlWqJOjo6AjGxsaCq6ur6BoWGRkpeHp6CoaGhgIAlWaT+/z5s/DXX38Jrq6ugpGRkaClpSUULVpUaNOmjXDw4EF5vuTkZGHkyJFCsWLFBF1dXcHJyUkIDAxUOnNVTnX0yZMnQq9evYRixYoJ2tragoWFhVC7dm2FmfvCw8OFxo0bC7q6uoKpqanQu3dvYd26dQqzCQmCIKxevVqoXLmy/Lj88ssvCjNG5TZLi+z4ARB8fX2Vvr9kyRIBgHDkyJEc1yMTExMjjBs3TqhcubKgr68vaGtrC0WLFhW8vb2F9evXi66Psnog+9PS0hLMzMwEV1dXYfz48UJkZKTC+lU9p5W5c+eOMGLECMHZ2VmwsLAQtLS0BBMTE8HNzU1htiNByP4Z4MKFC4Krq6tQqFAhwcLCQujTp49w7do1hWtfcnKy0KdPH8HCwkJ+n5NdV9+/fy/06dNHsLS0FPT19QVvb2/5ZyGrL0lJSYKvr69QuXJlwcjISNDT0xPKli0rTJkyRTS7ZHbq1aunMDuYIOQ8O1GdOnUEQRCEY8eOCRoaGgp1Ny4uTrCxsRFq1KghnzFMlXr6rfeQ1atXy6/zDg4Ogr+/v9J6mPV6k935omzWqaSkJMHPz08oUqSIoKurK7i4uAgXL14UjI2NFWaBUSane7iy2XGUXfNULUNe9isnZ86cETp27CgUL15c0NbWFgoVKiRUqFBBGDBggMK9SDb7juxPT09PsLGxEby9vQV/f3/RDHIyuc2g+LVJkyYJ5ubmCveW6tWrK51RLqu8PlurcuySk5OFESNGKHweWdeZk/j4eGHGjBmCk5OT6Nmja9euwvnz50V5VXlmz0v5v2XWJ0HIuGa2b99eMDMzE3R0dAQbGxvBx8dH9BktXrxYKFWqlKCpqZnt7EpZhYWFCT179hRKlSolABmzcJYpU0bo3r27MHnyZPlzl76+vqClpSW/P3To0EG0nri4OMHBwUGQSqUKzyf29vbCrFmzBEHIvN6amJgIAAQPDw+F660gZNbJ0NBQwdvbWzAwMBAMDQ2FTp06iWbe/DcxUEOkpr7lgZQKVl4ePujbfP78WbCwsFA6Rbc6efjwoSCRSERTrn9P+/btEwCIAgn039e3b1/BwMBA6Zeg7+Gvv/4SAAjh4eFK32/fvr3g7OxcINumgrVz505BU1NTePHixY8uyk/r/PnzAgBh06ZN/9NlKGipqalCyZIlhfHjx4vSP3z4IGhpaQlLly79QSWjggZA2LNnj/z11q1bBU1NTeHu3bvCgwcPRH/Kpp3v0aOH8Msvvyik16tXTxgyZIgobffu3YKWlpbw5csXpWWRBWpev379Tfv0PbHrExERqS1dXV1MmzYNU6dOxeDBg/+VsVnyY+bMmWjUqFG+B2PNzp07d/D06VOMGDFCYQA++m+ZPn06ihYtCjs7OyQkJODAgQNYvXo1Jk6cmOeBeHNz/fp1PHnyBNOnT8cvv/yitHuRIAgICgpSGA+Hfg5t2rRBjRo1MHv2bCxduvRHF0ftHT9+HBcvXkT16tWhp6eHGzduYM6cObC3t8+1q9l/qQw/wsaNG5GQkIBRo0aJ0s+cOYNixYqhb9++P6hk9G+rVq0a0tLSEBsbi3r16uV7Pa6urti/f78o7dixY3B2dlY6I6i6YqCGiIjUWr9+/RAfH4/Hjx/nOP7Ij5KamorSpUsrHVvmWw0cOBDnz5+Hk5MT1q1b96/3U6d/j7a2NubPn48XL14gNTUV9vb2WLRokcL4Sd9D69atERMTg3r16ikdbwnIGKAzNjb2u2+b/h0SiQT//PMP9u3bh/T09H9lnJWfmZGREY4dO4bFixfj48ePMDc3R7NmzTB79mzRzEj/9TL8COnp6di0aZPCeDJeXl7w8vL6MYWiApOQkCCacffJkycICwuDqakpHBwc0KVLF3Tv3h0LFy5EtWrV8ObNG5w6dQqOjo5o3rw5gIwfsb58+YK3b9/i48ePCAsLA5A5c5mvry+WLl0KPz8/9O3bFxcvXsSaNWuwZcuWf3t3v4lEEL7DcN9ERERERERERNkICgpSGDQaAHr06IG1a9ciJSUFM2fOxPr16/Hy5UuYmZnB1dUV06ZNk/9YV7JkSTx9+lRhHV+HNYKDgzF8+HDcvn0bRYsWxZgxY+Dr61twO1YAGKghIiIiIiIiIlITbAdJRERERERERKQmGKghIiIiIiIiIlITHEyYiPKkiW6XH10EIvoO0lNSf3QRiOg70Cpq9aOLQETfweHnf/7oIuRZeozDjy5CvmhY3f/RRcgVW9QQEREREREREakJBmqIiIiIiIiIiNQEAzVERERERERERGqCY9QQERERERERUZ6kI/1HFyFffobWKj9DGYmIiIiIiIiI/icwUENEREREREREpCbY9YmIiIiIiIiI8iRN+Dm7Pv0MQRC2qCEiIiIiIiIiUhMM1BARERERERERqQkGaoiIiIiIiIiI1MTP0D2LiIiIiIiIiNRIOoQfXYT/LLaoISIiIiIiIiJSEwzUEBERERERERGpCXZ9IiIiIiIiIqI8ScfPOT33z4AtaoiIiIiIiIiI1AQDNUREREREREREaoKBGiIiIiIiIiIiNcExaoiIiIiIiIgoT9IETs9dUNiihoiIiIiIiIhITTBQQ0RERERERESkJhioISIiIiIiIiJSExyjhoiIiIiIiIjyJB0co6agsEUNEREREREREZGaYKCGiIiIiIiIiEhNsOsTEREREREREeVJGrs+FRi2qCEiIiIiIiIiUhMM1BARERERERERqQkGaoiIiIiIiIiI1ATHqCEiIiIiIiKiPOH03AWHLWqIiIiIiIiIiNQEAzVERERERERERGqCXZ+IiIiIiIiIKE/SBHZ9KihsUUNEREREREREpCYYqCEiIiIiIiIiUhMM1BARERERERERqQmOUUNEREREREREeZL+owvwH8YWNUREREREREREaoKBGiIiIiIiIiIiNcGuT0RERERERESUJ2ng9NwFhS1qiIiIiIiIiIjUBFvUkIiPjw/i4+MRGBj4o4uCqVOnIjAwEGFhYT9k++pwLK5fv445c+bgzJkzePv2LaysrODo6Ij+/fujRYsWkEgkiIyMRKlSpeTLGBgYwMbGBu7u7hg2bBjs7e3l761duxY9e/aUv7ayskK9evUwd+5c0Trox+k4qiXq/OKMEmWL4svnL7hz6QHWTNiKFw+is12mYm0H9P69E0o4WENaSIrYZ29wcPVJ7FlyRJ7HtnwxdJ/cDmWcSsHK1gIrR27AnqVHsl3n9+JYrxz6z+0K2wrFEBcdjx0LD+Dg6pOiPK0HN4VXv0YoUsIcH+I+4uzuy/CftA0pySkFXj6igmRW1AR95nRBzaZVoaOng5f3o7Gw70o8uPYk22Uadq6LDiNbopi9FRLff8LVozewatQGfHybAABYcHIyqrhXVFgu5NA1TPSeW2D7Url+efRf0B0lKxZHXNQ7bF+wDwdWnZC//6PKRVTQKtUqjXb9G6JM5RIwszTG9D6rcfHorRyXcXQpjb6TWsPWwQpxr95j58pTOLTxvPx9GwcrdBvRHPaOxWFZwgyrpu5G4Jrggt6VXMulqaWBjoM80Lh9TZhZGuPF41j4z96H0KC7BV42IhJjixpSO4IgIDU19butLyXl5/yyt3fvXri4uCAhIQHr1q3DnTt3sGPHDrRq1QoTJ07E+/fvRflPnDiB6Oho3LhxA7NmzUJERASqVKmCkyfFX4qNjIwQHR2NqKgobN68GWFhYWjZsiXS0tL+zd2jbFSuVw77V53AsPpTMM5rDjS1NDHr4FhIC0mzXSYpMRn7VhzDyMYz0LfqKGyeEwifqe3RrHcDeR5pISmin8TCf+JWxEW/+z5lrV8e6+4tzvZ9y5IWmBk4CuHn72JgrQnYOm8vBizqjrqtasjzNPi1NnrN7IhNv+9B36qjsMj3H7i1c0GvGR2/SxmJfhSDwvpYfHY60lLSMN5rNvpUGoFVozYgIf5TtstUrFMWo9cOwhH/U+jrOAIzOv4BB+fS8PunvzzPtHYL0aFoP/lfH8cRSEtNw5mdl/Jd1spuFbDh0ZJs37cqaYGZB8Yi/NxdDKg+FlvmBGLg4p6o26ZmgZaLSB3o6ungccRLLJ+4U6X8liVMMX1df9y+/AiDm83HtqXH4TutDeo0qyJaZ8yzNwiYsx9vX73PYW2qc3Qpg7UXJn9TuXqM8kKzrrWxYtIu9G80G4c2nsekf3qjdMVi36WMRKQ6BmooR+7u7hgyZAhGjx4NU1NTWFlZYerUqfL3O3XqhF9//VW0TEpKCszNzREQEAAgI/Ayb9482NnZQU9PD1WqVMHOnZk3u6CgIEgkEhw9ehTOzs6QSqXYsGEDpk2bhhs3bkAikUAikWDt2rUAgPfv36Nfv34oUqQIjIyM0LBhQ9y4cUO+vqlTp6Jq1arw9/eHnZ0dpFIpBEHAzp074ejoCD09PZiZmaFx48ZITEzM97EJDg5GzZo1IZVKYW1tjbFjx8oDTPv370fhwoWRnp4xaV1YWBgkEglGjRolX75///7o1KmT0nUnJiaid+/e8PLywsGDB+Hp6YnSpUujZs2a6NOnD27cuAFjY2PRMmZmZrCysoKdnR1++eUXnDhxArVq1ULv3r1FQRiJRAIrKytYW1ujQYMGmDJlCsLDw/Hw4cN8Hwv6fia0nIfjG87gacRLPL71DAv7rYKljTnsnbJv8fToxlMEbb+IpxEv8erpG5zach5Xj99CpTrl5Hnuhz7G6vFbELzjElK+ZB8Ibe/XAmsj/sC+dwFYcXkW6raumW3e3LTo0wixz+OwctRGPL8XhSMBQTi2Lhhth3nJ81SoZY/bF+/j9LYLePX0Da6duIWg7RfhUJ0tvOjn1nF0S7x+HocFvVfg3pVHePX0Na6fCkf041fZLlO+lj1eRcYicOkRxES+xu3z93Dw7xNwqG4nz/PxXSLevXov/3NqXBlJn5JxZoc4INJhZEusf/AXDiRswMpr81Cvba1870uL/h54/SwOK/zW4dndlzi85hSOBpxGez/vPJeL6GdzNSgC6+cfwoUjN1XK79W1DmJfvsOqaXvw/OErHN16Cce2haBt/8wfT+7feIY1v+9D8L7rOd6T2/k2hP+5SQh8MB/Ljo5G3eZVss37PcrVsG0NbFt6HFdO30HMszgc3HAeocF30aZfw3xvl/7b0oSf8+9nwEAN5WrdunXQ19dHSEgI5s2bh+nTp+P48eMAgC5dumDfvn1ISEiQ5z969CgSExPRtm1bAMDEiRMREBCAFStW4Pbt2xg+fDi6du2K4GBxE8/Ro0dj9uzZiIiIgKenJ0aMGIGKFSsiOjoa0dHR6NixIwRBgJeXF2JiYnDo0CGEhobCyckJjRo1wtu3b+XrevjwIbZv345du3YhLCwMMTEx6NSpE3r16oWIiAgEBQWhTZs2EIT81dSXL1+iefPmqFGjBm7cuIEVK1ZgzZo1mDlzJgCgfv36+PjxI65fvw4gI6hjbm4u2uegoCC4ubkpXf+xY8cQFxeH0aNHZ1sGiUSSYxk1NDQwdOhQPH36FKGhodnm09PTA/Dztjz6r9M3KgQA8m4PqihdxRYVXOxx62xEnrblM609PLvXx5Lf/NHPaTR2LzmCMQED4FivXO4LK1HexR6hJ8TNw68evwmH6qWgqaUJAAi/cA/21UqhrHPGF1GrUhao0bQKQg6H5WubROrC1dsZ90MfY9K24dge/TdWXJ2DZn1y/rJz5+J9mBc3Q81mVQEAhYsYo37bWrh86Hq2yzTr1QBB2y4g6VOyPK3njI5o4uOOvwatQR/HEdj950GMXT8YleuXz9e+lHdxQOjxG6K0q8duwMHZTl6XVSkX0f+CctVL4tqZe6K0a2fuwr6yDTS1VP/q1WO0Fzw61MLSCTvg22gO9qwOwqg/u8HRpXSBlUtbRwtfksSBoy9JKahYgz+eEP3bOEYN5apy5cqYMmUKAMDe3h5Lly7FyZMn4eHhgSZNmkBfXx979uxBt27dAACbN2+Gt7c3jIyMkJiYiEWLFuHUqVNwdXUFANjZ2eHcuXNYtWqVKFAxffp0eHh4yF8bGBhAS0sLVlZW8rRTp07h1q1biI2NhVSa0RVkwYIFCAwMxM6dO9GvXz8AwJcvX7BhwwZYWFgAAK5du4bU1FS0adMGtra2AABHR8d8H5Ply5ejRIkSWLp0KSQSCcqVK4eoqCiMGTMGkydPhrGxMapWrYqgoCBUr14dQUFBGD58OKZNm4aPHz8iMTER9+/fh7u7u9L1379/HwBQtmxZedqVK1fQoEHmrx5bt25FixYtcixnuXIZX7AjIyNRs6Ziy4gXL15g/vz5KF68OBwcHBTeT05ORnKy+CE7XUiDhkT5gzl9f/3mdUH4+bt4eudFrnk3PlwCYwtDaGppYuPMXTgSEKTydqSFpGgzpDnGNP0dESEZratinrxGxdoO8OrTCLfO5r1/uomlMeJjxU2642PfQ0tbC8bmhngbE4/gHZdgbG6EhaemQCIBtLS1sH/VcWxfsD/P2yNSJ9Z2ReDt64FdfxzE5tl7UK5mGQxa3BMpyak4seGM0mXuXLyPOd2WYMKWYdDR1YaWthYu7LuCpUMClOYvW6M0SjnaYGHflfI03UJStB3eAqMaT0fEpQcAgJgnsahUpxy8+jXGzTN5C+ACgKmVMa5m6Z7x7pW4LudWLqL/FSYWRoh/I75nvnv9AVramjAyNcC72A+5rkOqp4PWfd0xtuMy3L0WCQCIeRaHijXs0KxLHdy69KhAyhUafBdt+rojPOQRop++QdW6DnDxdISmBn/bJ/q3MVBDuapcubLotbW1NWJjYwEA2traaN++PTZt2oRu3bohMTERe/fuxebNmwEAd+7cQVJSkigAA2QEUqpVqyZKc3Z2zrUsoaGhSEhIgJmZmSj98+fPePQo86Zla2srD9IAQJUqVdCoUSM4OjqiSZMm8PT0RLt27WBiYoKzZ8+iWbNm8ryrVq1Cly5dcixHREQEXF1dRa1a6tSpg4SEBLx48UI+mG9QUBD8/Pxw9uxZzJw5E7t27cK5c+cQHx8PS0tLeSBFFZUrV5YPrGxvb6/SOD6yFkNfl/P9+/cwMDCAIAj49OkTnJycsHv3bujo6CgsP3v2bEybNk2UZqdZCWW0Kivkpe9v0GIflHK0wYiG01XKP6LxdOjp66J8rTLoNaMjoh69QtD2iyota1u+GKR6Oph9cJwoXUtHC4/CIuWvA9+skf+voakBbamWKC38/D1M/GWe/LVCo7X/Pxdl52bl+uXRacwvWDo0AHcvP0LR0pYYsLAb3sbEY/PsQJXKTqSOJBoauH/1EfwnbgUAPAqLhG2F4vDu75FtoMamfDEMWuyDjTN24eqxGzCzNkHfuV0wdEUfLOq7SiF/014N8eTWM9y7knn/s6lQHFI9Hcw9OlGUV0tHCw+vZw5ivO/9Ovn/srr8ddqtcxGY4DVH/jprXZZkqcu5lYvof0nWeiF/DlOxJbetgxWkujqYtXmgKF1LWxOPbmf+cLP7bub9VkNTAm0dLVFa+OVHmNw989qRW7lWTdmFIfN+xd9B4wFBQPTTNzi+PQQeHfLfdZL+29J/dAH+wxiooVxpa2uLXkskEvnYK0BG9yc3NzfExsbi+PHj0NXVlQc+ZPkOHjyIYsXEA5HJWsTI6Ovr51qW9PR0WFtbIygoSOG9woULZ7suTU1NHD9+HBcuXMCxY8ewZMkSTJgwASEhIXB2dhbNLGVpaZlrOQRBUOh6lDUo4u7ujjVr1uDGjRvQ0NBAhQoV4ObmhuDgYLx79y7bbk8A5DM13bt3Dy4uLgAyjleZMmVyLdvXIiIyfjn9ekYnQ0NDXLt2DRoaGrC0tMzxuI8bNw5+fn6itLYW/fJUBsqfgYu6w7WFE0Y0noE3L9/mvgCAV5GvAQCRt5+jcBFjdJ3YRuVAjUQj47yd1Ho+4l6KBxtO+ZLZLW5gzfHy/8vWLI3eMzthtOdMeVpy0hf5/+9evYeJpXgspcIWRkhNScWHuIyuXD2mtMPJzefkrX8ibz+Hrr4UQ5f1xpY5e/PdPZHoR3sb/Q7PIl6K0p7dfYl6bbL/wtNpbCvcvnAfOxZmtCh7cusZPicmYfGZ6Vg7aZuo5YpUTwcNOtbGuinbRevQ+P+6PNF7jsK1IyU5M8Dv65TZtbZcLXv0md0ZIxtmBuaTP2fW5bcx72FqlaUuFxHX5dzKRfS/4t3rDzCxMBKlFTY3RGpKGj68U21sRNmz5BSfVXgTI27N9nU9HtQ0MyhTrqoteo1vidEdMgcG/5KUef9WpVzv3yZiRp810JZqwchEH3Ex79FrnDdePYtTqdxE9P0wUEPfrHbt2ihRogS2bduGw4cPo3379vLWGRUqVIBUKsWzZ89yDEwoo6OjozATkZOTE2JiYqClpYWSJUvmaX0SiQR16tRBnTp1MHnyZNja2mLPnj3w8/PLcwCkQoUK2LVrlyhgc+HCBRgaGsoDUrJxahYvXgw3NzdIJBK4ublh9uzZePfuHYYOHZrt+j09PWFqaoq5c+diz549eSqbTHp6Ov766y+UKlVK1HpJQ0ND5f2VSqUKATV2eyp4g/7ogdotnTHKc6Y8+JJXEgmgLdXOPeP/exbxEl+SvqBICfMcuzlFfTUQqnlxU6SlpYnSvhZx6QFqeTmJ0qo3dsT90CdIS82o21I9KYR0cTAmPS39/wcRV/nHRyK1c/vCPRR3sBalFbe3xqun2ddpaSGpvG7IpKdl/OCR9ccBtw6u0JZq4cSms6L0p3deZNRlG/McuzlFPfq6LpshLTVNlPa1iEv34dKiuiitukdl3L/6WKG82ZWL6H/F3dBI1GpcSZTmVL8sHtx8hrRU1dofPHsQgy9JKbAoapJjN6foyDfy/82tCiMtNU2Ult9ypSSnIi7mPTS1NFCneRWcORCmUrmJ6PthoIa+mUQiQefOnbFy5Urcv38fp0+flr9naGiIkSNHYvjw4UhPT0fdunXx4cMHXLhwAQYGBujRo0e26y1ZsiSePHmCsLAwFC9eHIaGhmjcuDFcXV3RqlUrzJ07F2XLlkVUVBQOHTqEVq1aZdt9KiQkBCdPnoSnpyeKFCmCkJAQvH79GuXL5zyw4vv370WtbQDA1NQUAwcOxOLFi/Hbb79h8ODBuHfvHqZMmQI/Pz9o/H8/Xtk4NRs3bsSff/4JICN40759e6SkpGQ7Pg2QMT7P6tWr0bFjR3h5eWHIkCGwt7dHQkICjhw5AiCjldDX4uLiEBMTg0+fPiE8PByLFy/G5cuXcfDgQYW8pL4G/+mDBh1rY2r7RfickCRvkZL4/pP8l7GeMzrCvKgJ5vfOGP/Bu78HYp+/wfN7UQCASnXKot0wL+xdcUy+Xi1tTdiULw4A0NbWgllRE9hVtkVSQhKiHr/C54Qk7Fx8CP3ndYVEQ4LbF+6hkKEeKrg44HNiEk5szPuXrgOrT6LlAA/0m9sFh/1Po7yLPZr4uGNO96XyPJcOXUObIc3x8EYk7l55hGKlLdFjSjtcOnAN6emM0tDPa9fiQ/jz3HR0GtsKwTsuomzNMmjetxEW+/4jz9Pr904wL2aKeT7LAACXDoRi+Kp+aOHrgatHM7o+DVjUAxEhDxAXLW7p1rRnA5zfe1VhoPHPCUnYsfAAfBd2h0RDgvBz91DISA8VXTPq8vH1yrtd5eTAquNoOagJ+i/ohsOrT6G8qz2a9mqIWV3+VMibXbmIfla6hXRQtGRmd3rLEmawq1AMH+M/4XXUO/iMaQEzK2MsHL4JAHBw43l4+9RD38mtcGTzRZSvXhKeHV0wd/B6+Tq0tDVhY58xBqOWjhbMrIxhV6EYPn9KRnTkG3xOTMauv0+h35TW0NCQ4PaVxyhkoIvyzqWQlJiMEzuv5Hk/VClX2aq2MLMyxuM7L2FmZYyuw5tBIpFg54qT+T18RJRPDNTQd9GlSxfMmjULtra2qFOnjui9GTNmoEiRIpg9ezYeP36MwoULw8nJCePHj89mbRnatm2L3bt3o0GDBoiPj0dAQAB8fHxw6NAhTJgwAb169cLr169hZWWF+vXr59hlycjICGfOnMHixYvx4cMH2NraYuHChaKxaZQJCgpSGEunR48eWLt2LQ4dOoRRo0ahSpUqMDU1Re/evTFxonhMgAYNGuDatWvyoIyJiQkqVKiAqKioXINErVu3xoULFzB37lx0794db9++hbGxMZydnZUOJNy4cWMAQKFChWBra4sGDRrg77//znNrIfqxvPtnjOe04PgkUfqCvqtw/P/HtTC1KgyLEpnjNEk0JOg1oyOsSlogLTUdUY9fwX/iVhxcfUqex6yoCVZcniV/3d6vBdr7tcCNM3cw2vN3AMC6qTsQH/sBv45qCatSRZAYn4iHYZHYMm9fvvblVeRrTGw1H/3ndYW3rwfeRr/DCr/1OBeY+YC5eXYgBAHwmdoeZkVN8f7NB1w6eB1r2W2CfnL3rz7C1LYL0fv3Tug6qS1inrzGCr91OLX5nDyPmXVhFPmqLh9bFww9Az38MrAJ+s/vhsT4RFw/fRurx24SrbuYvTUc65XHmCYzoczaydsQH/sev45pBetVlkiIT8TD60+wJZ/jPsVEvsbEFnPgu7AHWg5sgriod1g+LADndl/OU7mIfkb2lW0wb8dv8tf9p7QGABzfEYJFfpthammEIsVM5O+/ev4Wk3usQr/JreHdvR7iXr3Hyim7cf5w5sxpppbGWHY0s/thO99GaOfbCDcvPsCYDhk/ZqyffwjxbxLQYZAHrGzMkPjhMx6Gv8C2pcfztR+qlEtHVws9RnnBysYMnz8l48qpO5g/bAMSP3zO1zbpvy8NOc9CS/knETgAABHlQRPdnAdaJqKfQ3pK7gOSE5H60ypqlXsmIlJ7h58rtlJUdw9eFP3RRcgX++JRP7oIueJca0REREREREREaoJdn4iIiIiIiIgoTzicYMFhixoiIiIiIiIiIjXBQA0RERERERERkZpgoIaIiIiIiIiISE1wjBoiIiIiIiIiyhNOz11w2KKGiIiIiIiIiEhNMFBDRERERERERKQmGKghIiIiIiIiIlITHKOGiIiIiIiIiPKEY9QUHLaoISIiIiIiIiJSEwzUEBERERERERGpCQZqiIiIiIiIiChP0gXJT/mXF2fOnIG3tzeKFi0KiUSCwMDAHPPv3r0bHh4esLCwgJGREVxdXXH06NE8H1sGaoiIiIiIiIiIskhMTESVKlWwdOlSlfKfOXMGHh4eOHToEEJDQ9GgQQN4e3vj+vXredouBxMmIiIiIiIiIsqiWbNmaNasmcr5Fy9eLHo9a9Ys7N27F/v370e1atVUXg8DNURERERERET0PyE5ORnJycmiNKlUCqlU+t23lZ6ejo8fP8LU1DRPy7HrExERERERERHlSRokP+Xf7NmzYWxsLPqbPXt2gRyjhQsXIjExER06dMjTcmxRQ0RERERERET/E8aNGwc/Pz9RWkG0ptmyZQumTp2KvXv3okiRInlaloEaIiIiIiIiIvqfUFDdnL62bds29O7dGzt27EDjxo3zvDwDNURERERERESUJ2kcSUWpLVu2oFevXtiyZQu8vLzytQ4GaoiIiIiIiIiIskhISMDDhw/lr588eYKwsDCYmprCxsYG48aNw8uXL7F+/XoAGUGa7t27488//4SLiwtiYmIAAHp6ejA2NlZ5uwyBERERERERERFlcfXqVVSrVk0+tbafnx+qVauGyZMnAwCio6Px7Nkzef5Vq1YhNTUVgwYNgrW1tfxv6NChedouW9QQEREREREREWXh7u4OQRCyfX/t2rWi10FBQd9luwzUEBEREREREVGepAuSH12E/yx2fSIiIiIiIiIiUhMM1BARERERERERqQl2fSIiIiIiIiKiPEkDuz4VFLaoISIiIiIiIiJSEwzUEBERERERERGpCQZqiIiIiIiIiIjUBMeoISIiIiIiIqI8SRPY7qOg8MgSEREREREREakJBmqIiIiIiIiIiNQEuz4RERERERERUZ6ks91HgeGRJSIiIiIiIiJSEwzUEBERERERERGpCQZqiIiIiIiIiIjUBMeoISIiIiIiIqI8SYPkRxfhP4staoiIiIiIiIiI1ARb1BBRnghpaT+6CET0HWiVKPqji0BE38GjhaY/ughERPSdMVBDRERERERERHmSJrCDTkHhkSUiIiIiIiIiUhMM1BARERERERERqQkGaoiIiIiIiIiI1ATHqCEiIiIiIiKiPEnn9NwFhi1qiIiIiIiIiIjUBAM1RERERERERERqgl2fiIiIiIiIiChP0tjuo8DwyBIRERERERERqQkGaoiIiIiIiIiI1AQDNUREREREREREaoJj1BARERERERFRnqQJbPdRUHhkiYiIiIiIiIjUBAM1RERERERERERqgoEaIiIiIiIiIiI1wTFqiIiIiIiIiChP0tnuo8DwyBIRERERERERqQkGaoiIiIiIiIiI1AS7PhERERERERFRnqQJkh9dhP8stqghIiIiIiIiIlITDNQQEREREREREakJBmqIiIiIiIiIiNQEx6ghIiIiIiIiojxJY7uPAsMjS0RERERERESkJhioISIiIiIiIiJSE+z6RERERERERER5ki6w3UdB4ZElIiIiIiIiIlITDNQQEREREREREakJBmqIiIiIiIiIiNQEx6ghIiIiIiIiojzh9NwFh0eWiIiIiIiIiEhNMFBDRERERERERKQm2PWJiIiIiIiIiPIkTZD86CL8Z7FFDRERERERERGRmmCghoiIiIiIiIhITTBQQ0RERERERESkJjhGDRERERERERHlSTrbfRQYHlkiIiIiIiIiIjXBQA3RV4KCgiCRSBAfHw8AWLt2LQoXLvxDy0RERERERET/OxioUXM+Pj5o1arVjy4GAGDq1KmoWrXqD9u+j48PJBIJfH19Fd4bOHAgJBIJfHx8vus2O3bsiPv373/XdebFw4cP0atXL9jY2EAqlaJYsWJo1KgRNm3ahNTUVHk+iUQi/9PX14e9vT18fHwQGhoqWp8sECX7s7CwQLNmzXDjxo1/e9coB451y2H6nlHY8nQ5jqVsRe2Wzjnmr9OqBuYcHo/tUX9jT5w/Fp+djuoelbPN797BFcdStmLqzhHfu+gKHOuVx7KQWTjwcT3W3fsTXv0aK+RpPaQZ1oQvwv4P67Hp8TL4LugObal2gZeNqKBVqmmHqav7YGPIVByO/AOunpVyXcaxVmn8td8Pe+/Ng/+ZiWjepbbo/blbB+Fw5B8Kf9P8+xbUbqhULk0tDXQe4gn/4AnYe28elh0eiepu5Qq0TET/Bk2JBMMquONk08G42WosTjYdjEHl6iG3SYlrmNtgd8M+uNVqHE42HYxfSzkp5PEsWg6HPHwR3mocDnn4wqNo2YLZiTyUS0uigUHl6uFEk0G41Woc9jXqh3qWpQu8XPRzShM0fsq/n8HPUUr6oQRBEAUFvlVKSkq+ly1RogS2bt2Kz58/y9OSkpKwZcsW2NjYfI/iiejp6aFIkSLffb2quHz5MpycnBAREYFly5YhPDwcBw4cQK9evbBy5Urcvn1blD8gIADR0dG4ffs2li1bhoSEBNSqVQvr169XWPe9e/cQHR2NgwcP4t27d2jatCnev3//b+0a5UJXXxePbz7F0qEBKuV3rFceoSduYWLLORhUazxuBN3B9MDRKF21pELeIjbm6Du3K26djfjmclauXwHrHyzJ9n2rkhb4ff8Y3Dp3FwNqjMWWuYEY+IcP6rauKc/TsFMd9P69EzbO3IU+jiOwqN8quLV3Qe/fO31z+Yh+NN1COngc8RLLJ+9SKb9lcVNMD+iL21ceY3DzBdi27Dh8p7RGnaaZgdcZ/QPQucZk+V9/j7lIS03D2UNh+S6no0tprD036ZvK1WNkczTr7IoVU3ajf+O5OLTpAiat6onSFYvlu1xE6qCvQx10squOGWFH0OzYCsy7dRK9HVzRrUzNbJcpXqgw/qnTCVffPEOrk/9g5d1zmFi1KTyLZgYvq5oWw+JabbH32S20PPk39j67hcW12qKySdF8l7WmuS1ONf3tm8o1rGID/GrnhBk3jqL58RXY8iQUy1zbo7yxVb7LRUR5x0DNT8bd3R1DhgzB6NGjYWpqCisrK0ydOlX+fqdOnfDrr7+KlklJSYG5uTkCAjK+9AmCgHnz5sHOzg56enqoUqUKdu7cKc8va3Vx9OhRODs7QyqVYsOGDZg2bRpu3Lghb42xdu1aAMD79+/Rr18/FClSBEZGRmjYsKGohYasJY6/vz/s7OwglUohCAJ27twJR0dH6OnpwczMDI0bN0ZiYmKO++/k5AQbGxvs3r1bnrZ7926UKFEC1apVE+XNbT8B4NChQ3BwcICenh4aNGiAyMhI0ftZuz4pa+E0bNgwuLu7y1+7u7vjt99+w7Bhw2BiYgJLS0v8/fffSExMRM+ePWFoaIjSpUvj8OHD2e6nIAjw8fGBg4MDzp8/D29vb9jb26NatWro0qULzp49i8qVxS0mChcuDCsrK5QsWRKenp7YuXMnunTpgsGDB+Pdu3eivEWKFIGVlRVq1qyJhQsXIiYmBpcuXcq2PPTvunI0DGunbMf5wCsq5V85Yj12LNyP+1cfI+phDAImbcXLB9Fw8RL/SqahIcHY9YOxYfpORD+JVbqu9iO8se7en9j/YT1WhM5FvTa18r0fXv08EPssDitHrMfzu1E44n8aR9eeRju/FvI85V0ccPvCfZzeeh6vnr5G6ImbOL3tAuyr2+V7u0Tq4mrQXaxfeBgXjt5SKb9X19qIjYrHqumBeP4oFke3heDYjsto26+BPE/C+0949/qj/M+pngOSP6fg7EFxy8h2/RvC/8xEBN6di2WHR6Jusyr53g9VytWwtTO2LTuBK0ERiHkeh4MbLyD0zD206eOe7+0SqYNqZsVwIuoegmIe4uWn9zj6MgLnYx/DsbB1tsv8alcd0Z8+YNbNY3j08Q12RIZhV2QYeju4yvP4lKmFC7GPsereeTz+GIdV987jYuwT+NiL77t9HFzlrXn2NeqHJsXK53tfVCnXLzaOWHn3PIJjHuJ5Yjy2PA7FuVeP0cvBJd/bJaK8Y6DmJ7Ru3Tro6+sjJCQE8+bNw/Tp03H8+HEAQJcuXbBv3z4kJCTI8x89ehSJiYlo27YtAGDixIkICAjAihUrcPv2bQwfPhxdu3ZFcHCwaDujR4/G7NmzERERAU9PT4wYMQIVK1ZEdHQ0oqOj0bFjRwiCAC8vL8TExODQoUMIDQ2Fk5MTGjVqhLdv38rX9fDhQ2zfvh27du1CWFgYYmJi0KlTJ/Tq1QsREREICgpCmzZtIAhCrvvfs2dPedAJAPz9/dGrVy+FfLnt5/Pnz9GmTRs0b94cYWFh6NOnD8aOHZuHTyJ769atg7m5OS5fvozffvsNAwYMQPv27VG7dm1cu3YNTZo0Qbdu3fDp0yely4eFhSEiIgIjR46EhobyaiqR5NboFhg+fDg+fvwoPz+U0dPTA/BtLZ1IvUgkEhQy1MPHd+LAZ5eJbfH+9QccCTitdDmf6R3RpIc7/hq8Bn2rjMTuPw9hzLpBcKyXv4fCCi72CD1xU5QWeuwmHKrbQVNLEwBw+/xd2DuVQtkaGc2qrUoVQc2m1XD50LV8bZPoZ1auWklcO3tPlHbtzF3YO5aAppbye4Fnh1oI3n8dyZ+/yNN6jGwOj/Y1sXTiDvh6zMOeNcEYtbgLHGvlr/uCKuXS1tHCl2Rx69svSSmoWINBV/q5hb55DtcipVDSwBQAUM7YEtXNSiAo5mG2y1QzLYZzsY9EaedePUIlE2toSTLqTFWz4jj36nGWPI9RzbS4/PXwig3Q1rYqplw/BK/jKxHw8BIW1GiFGub5a0WuSrl0NDSRnC6uy0lpKahuViJf2ySi/OH03D+hypUrY8qUKQAAe3t7LF26FCdPnoSHhweaNGkCfX197NmzB926dQMAbN68Gd7e3jAyMkJiYiIWLVqEU6dOwdU1I3puZ2eHc+fOYdWqVXBzc5NvZ/r06fDw8JC/NjAwgJaWFqysMps+njp1Crdu3UJsbCykUikAYMGCBQgMDMTOnTvRr18/AMCXL1+wYcMGWFhYAACuXbuG1NRUtGnTBra2tgAAR0dHlfa/W7duGDduHCIjIyGRSHD+/Hls3boVQUFB8jyq7OeKFStgZ2eHP/74AxKJBGXLlsWtW7cwd+5c1T+MbFSpUgUTJ04EAIwbNw5z5syBubk5+vbNGENg8uTJWLFiBW7evAkXF8VfKGTj4pQtm9lXOTY2FnZ2mQ+88+bNw8CBA3MsR7lyGU1Zs7YUkomLi8O0adNgaGiImjUVm/AmJycjOTlZlJYupEFDopnjdunHajfcC7r6UpzZcVGeVqG2A5r2bIABzsqDkbqFpGg7zAujPWcg4tIDAEDMk1hUqlMWXn0b56urlIllYbx7Je5S9y72PbS0tWBsboi3MfEI2n4RxhZGWBQ0DRIJoKWthf0rj2Hb/H153h7Rz87EwhDxrz+K0t69/ggtbU0YmRjg3esPovccqtigVLmiWDxmmzxNqqeD1n3cMLbzcty99hQAEPM8DhWd7dCssytuhYi/pH2vcoWeuYs2fdwRfvkRop/GoWode7h4VIJmNj82EP0s/r5/AYbaujjiORBpQjo0JRr44/ZpHHxxO9tlzHUNEPdK/GPJm6REaGtowkRaCK+TEmCua4A3yVnyJCfCQtcAAKCnqY2e9rXQ/cwGhL19CQB4nhgPZzMb/FqqOq68eZbnfVGlXOdePUZPexdcefMMzxLewrVIKTSyLgtNFX4gpP896bmO1kT5xUDNTyhrlxdra2vExmZ0Y9DW1kb79u2xadMmdOvWDYmJidi7dy82b94MALhz5w6SkpJEARggI5CSteuQs3POA5gCQGhoKBISEmBmZiZK//z5Mx49ynwYtLW1lQdpgIxARqNGjeDo6IgmTZrA09MT7dq1g4mJCc6ePYtmzZrJ865atQpdunSRvzY3N4eXlxfWrVsnb9Fjbm4u2r4q+xkREQEXFxdRyxRZUOdbff0ZaWpqwszMTBSIsrS0BAD555adr8tmZmaGsLAwABndq758+ZLNUplkLZSytr4pXjzj15rExETY29tjx44dSsfimT17NqZNmyZKs5NURGnN3AfEpB/DvWNtdJvcDlPaLED8/3+p0zPQxdi1g7HY9x98iPuodDmbCsUg1dPBnMMTROlaOlp4FBYpf7333Vr5/xqaGtCWaonSws/dxQTvOZkryNpKTiJLzkivXL8COo1tjSW/rcHdyw9RrLQVBizqgbfR8dg0azeI/tcIENeZzOu3YovTJh1r4cndKNy/kfmFzdbeElJdHczaMECUV0tbE4/uvJS/3n07s55qaEqgraMlSgu/8hiTff5WuVyrpu3BkDkd8ffJcYAgIPppHI7vuAyP9tmP40H0M/AqXhEtbSphxOU9ePDhNcoXtsT4yp6I/fwRe57dzHa5rDVWkuX+l/V/IOMWKUspY2QOXU1tBNTrKsqjraGJiPgY+evrv4yR/68pkUBHQ0uUFvrmGfqc36JyuWbeOIrfq7fAEc8BEATgWeI77H4ahja2VbPdVyL6/hio+Qlpa4tnQ5FIJEhPT5e/7tKlC9zc3BAbG4vjx49DV1dXHviQ5Tt48CCKFRMP8CdrESOjr6+fa1nS09NhbW0tas0i8/XYLlnXpampiePHj+PChQs4duwYlixZggkTJiAkJATOzs7ygASQGdT4Wq9evTB48GAAwLJly5SWC8h5P1XpZpWVhoaGwnLKugwp+4y+TpM94H79uX3N3t4eAHD37l35TFuampooU6YMAEBLS7WqGxGR0QqiVKlSovSzZ8/CyMgIFhYWMDIyynb5cePGwc/PT5TWxrS3Stumf59be1f4/d0fM39djOunwuXp1qUtYVWqCKYHjpKnSTQyzsHDnzehV0U/eRe7iS3nIi7qrWi9KV91ZxjgnPnwV65mGfSe1RmjGk+Xp33d/eLdq3iYWBUWrcvEwhipKan4EJfRPbPHtA44ueksjvhndMeKDH8OXX0phq7oi82z9+SrnhL9rN69/ggTC/E1ubC5AVJT0vAhS1dGqa423FpUw4Y/jojSZXV7Sq9/8CZG3KIt5UtmXR7UfIH8/3JVbdBrrDdG/5p5P/2SlHlvU6Vc798mYkY/f2hLtWBUWB9xr96j19gWePVcfD0h+tmMdmyEv+9dkLeguf8hFkULGaN/uTrZBmreJCXAXFf87Gsm1UdKehriv3yW55G1nvk6z5ukjPuj5P9/2eh3fgtefRb/yPIlPU3+/y8nMgOqVUyLYVSlRuh6JnMiieS0zHqvSrneffmEgRe3Q0dDEyY6hfAq6SNGVmqEF5/iszlCRFQQGKj5D6pduzZKlCiBbdu24fDhw2jfvj10dHQAABUqVIBUKsWzZ89E3ZxUoaOjg7S0NFGak5MTYmJioKWlhZIlS+ZpfRKJBHXq1EGdOnUwefJk2NraYs+ePfDz85MHJLLTtGlTeYuSJk2aKLyvyn5WqFABgYGBorTcBtS1sLBAeHi4KC0sLEwhMPOtqlWrhnLlymHBggXo0KFDtuPU5Gbx4sUwMjJC48biKZFLlSolCqRlRyqVKgTw2O1JPbl3rI0R//hidte/cPnwddF7z+9GoV/VkaI0n2kdoWeohxV+a/H6+RvEx77Hl6QvKGJjnmM3p6hHr+T/mxczQ1pquijta3cuPVAY0NjJozLuhz5GWmrGtUS3kA7S08XBmLS09P8ftFyxQQ7Rf9nd65Go1aiiKM2pXlk8uPUcaaniwH69FlWhLdXCqT1XRenPHrzCl+QUWBQ1ybGbU/TTN/L/za2NkZaWLkrLb7lSklMR9+o9NLU0UKdpZZw5GJZtGYh+Brqa2kjP0g4lXRDkgRRlrr99iYbW9qK0OpZ2CH8XjVQho86Exb1AHctSWPswRJ6nrqUdrr99AQB49PENktNSUbSQcY7dnJ4lZk4YYaVnhFQhXZSW13LJfElPw6ukj9CSaKBJsXI4/OJOtmWg/10/y1TXPyMGav6DJBIJOnfujJUrV+L+/fs4fTpz4FBDQ0OMHDkSw4cPR3p6OurWrYsPHz7gwoULMDAwQI8ePbJdb8mSJfHkyROEhYWhePHiMDQ0ROPGjeHq6opWrVph7ty5KFu2LKKionDo0CG0atUq2+5TISEhOHnyJDw9PVGkSBGEhITg9evXKF9etUFLNTU15a1FNDUVAweq7Kevry8WLlwIPz8/9O/fH6GhofKZrLLTsGFDzJ8/H+vXr4erqys2btyI8PBwhW5j30oikSAgIAAeHh6oU6cOxo0bh/LlyyMlJQVnzpzB69evFfY7Pj4eMTExSE5Oxv3797Fq1SoEBgZi/fr1KgVlSH3o6ktRtEzmWFBWpYrArootPr5NwOvnceg181eYFTPF/J7LAWQEaUYHDMQKv3WICHkAE0tjABmtWz59+IyU5BRE3n4h2kbC+4yBrGXpqSlp2LnoAHwXdIOGhgTh5++hkJEeKrg6ICkhCcc3nMnzfhz8+zh+GeiJ/vO74dCak6jgkjFOzuyuf8nzXDpwDW2GNcejsCe4e/khipa2Qo+pHXBxf6hCAIfoZ6NbSAdFS2Z2zbUsYQa7CkXxMf4TXkfFw2e0F8wsjbFwREb35IMbL8C7e130nfgLjmy5iPJOJeHZoRbmDtmgsO4mHVxw8dgtfIwXD0r/OTEZu/4+jX6TfoGGhgS3rzxGIUNdlHcqiaRPX3Bil2qzyX1NlXKVrWoDM0tjPL4TBTMrY3Qd1gQSDQ3sXHUqz9sjUienox9gQNm6iP70Hg8+vEaFwlboaV8LOyMzZ1obUbEhLPUMMfrqXgDA1seh6FraGeMqe2D7k+uoaloM7UpWg19IZpfedQ8vY5NbD/R1qI2T0ffQyLosXIuUQqegtQCAxNQvWHP/IsZX9oQGJLga9xwGWlI4mRXHp9QvOXa7yo4q5apsUhRWekaIeB8DS11D/FbBDRoSCf65fyGfR5CI8oOBmv+oLl26YNasWbC1tUWdOnVE782YMQNFihTB7Nmz8fjxYxQuXBhOTk4YP358juts27Ytdu/ejQYNGiA+Ph4BAQHw8fHBoUOHMGHCBPTq1QuvX7+GlZUV6tevr7TLkoyRkRHOnDmDxYsX48OHD7C1tcXChQtFY9PkJqcuO6rsp42NDXbt2oXhw4dj+fLlqFmzJmbNmqV0BimZJk2aYNKkSRg9ejSSkpLQq1cvdO/eHbduqTb1al64uLggNDQUs2bNwqBBgxATEwN9fX1UqVIFf/zxh0I5e/bsCQDQ1dVFsWLFULduXVy+fBlOTk7KVk9qzKF6aSw4OVn+2ndBdwDAsfXBWNB7BUytTVCkROaXP6++jaGlrYXflvTGb0syu6bJ8qtq7ZTtiH/9Ab+O/gVWdpZIjE/Eg+tPsHVOYL72IybyNSZ4z4Xvwu7wHuCJt1HvsHz4Wpzbc1meZ9Os3RAEAT2mdYR5MVO8f/0Blw6GImDSthzWTPRzsK9cAvO2Dpa/7j+pFQDg+M7LWDRyC0yLGKFIMRP5+69evMXknv+g36RW8O5WF3Gx77Fy2h6cPyL+QlaslAUq1bTD+K7K6/f6hYcRH5eADgMbwapEByR++IyHt19g27IT+doPVcqlI9VGj5HNYWVjhs+JybhyOgLzh29C4oekfG2TSF3MuHEEQyu4Y0rVZjDT1Ufs54/Y+vgalkVk/oBhoWsA60KZz6UvPsWj7/ktGF/ZE13snPEq6SNmhh3Bsai78jzX377A8Mu7MbyiO4ZWdMfzhHcYHrIbN99FyfMsvhOEuORE9C9XBzP0TfDxSxJux0dj5b3z+doXVcol1dTCsIruKKFvgk+pXxAc8xCjrgTiY0pyDmsmou9NInAAACLKA0/tX390EYjoO9AsZv2ji0BE38GjhaY/ughE9B3cbzvpRxchz1bdy9tQGuqif9ngH12EXLFFDRERERERERHlSRo4Rk1B4ZElIiIiIiIiIlITDNQQEREREREREakJdn0iIiIiIiIiojxJF7Kfpp6+DVvUEBERERERERGpCQZqiIiIiIiIiIjUBAM1RERERERERERqgmPUEBEREREREVGecHrugsMjS0RERERERESkJhioISIiIiIiIiJSEwzUEBERERERERGpCY5RQ0RERERERER5ki6w3UdB4ZElIiIiIiIiIlITDNQQEREREREREakJdn0iIiIiIiIiojxJg+RHF+E/iy1qiIiIiIiIiIjUBAM1RERERERERERqgoEaIiIiIiIiIiI1wTFqiIiIiIiIiChPOD13weGRJSIiIiIiIiJSEwzUEBERERERERGpCXZ9IiIiIiIiIqI84fTcBYctaoiIiIiIiIiI1AQDNUREREREREREaoKBGiIiIiIiIiIiNcExaoiIiIiIiIgoTzg9d8HhkSUiIiIiIiIiUhMM1BARERERERERqQl2fSIiIiIiIiKiPElj16cCwyNLRERERERERKQmGKghIiIiIiIiIlITDNQQEREREREREakJjlFDRERERERERHmSDsmPLsJ/FlvUEBERERERERGpCQZqiIiIiIiIiIjUBLs+EREREREREVGecHrugsMjS0RERERERESkJhioISIiIiIiIiJSEwzUEBERERERERGpCY5RQ0RERERERER5ki5weu6CwkANERHR/6DUZy9+dBGI6Dso1fXNjy4CEX0PbX90AUidsOsTEREREREREZGaYIsaIiIiIiIiIsqTNLb7KDA8skREREREREREaoKBGiIiIiIiIiIiNcFADRERERERERGRmuAYNURERERERESUJ5yeu+CwRQ0RERERERERkZpgoIaIiIiIiIiISE0wUENEREREREREpCY4Rg0RERERERER5Uk6230UGB5ZIiIiIiIiIiI1wUANEREREREREZGaYNcnIiIiIiIiIsqTNE7PXWDYooaIiIiIiIiISE0wUENEREREREREpCYYqCEiIiIiIiIiUhMco4aIiIiIiIiI8iSdY9QUGLaoISIiIiIiIiJSEwzUEBERERERERGpCXZ9IiIiIiIiIqI8SRfY7qOg8MgSEREREREREakJBmqIiIiIiIiIiLI4c+YMvL29UbRoUUgkEgQGBua6THBwMKpXrw5dXV3Y2dlh5cqVed4uAzVERERERERERFkkJiaiSpUqWLp0qUr5nzx5gubNm6NevXq4fv06xo8fjyFDhmDXrl152i7HqCEiIiIiIiKiPEnDf3967mbNmqFZs2Yq51+5ciVsbGywePFiAED58uVx9epVLFiwAG3btlV5PWxRQ0RERERERET/E5KTk/HhwwfRX3Jy8ndZ98WLF+Hp6SlKa9KkCa5evYqUlBSV18NADRERERERERH9T5g9ezaMjY1Ff7Nnz/4u646JiYGlpaUozdLSEqmpqXjz5o3K62HXJyIiIiIiIiLKk3Th5+z6NG7cOPj5+YnSpFLpd1u/RCI+LoIgKE3PCQM1RERERERERPQ/QSqVftfAzNesrKwQExMjSouNjYWWlhbMzMxUXg+7PhERERERERERfSNXV1ccP35clHbs2DE4OztDW1tb5fUwUENERERERERElEVCQgLCwsIQFhYGIGP67bCwMDx79gxARjeq7t27y/P7+vri6dOn8PPzQ0REBPz9/bFmzRqMHDkyT9tl1yciIiIiIiIiypN04b/f7uPq1ato0KCB/LVsbJsePXpg7dq1iI6OlgdtAKBUqVI4dOgQhg8fjmXLlqFo0aL466+/8jQ1N8BADRERERERERGRAnd3d/lgwMqsXbtWIc3NzQ3Xrl37pu3+90NgREREREREREQ/CbaoISIiIiIiIqI8ScfPOT33z4AtaoiIiIiIiIiI1AQDNUREREREREREaoKBGiIiIiIiIiIiNcExaoiIiIiIiIgoT9IEjlFTUNiipoBFRkZCIpEgLCysQLfj7u6OYcOG5ZinZMmSWLx4cYGW49/ybx1XIiIiIiIion/T/1SgxsfHB61atfrRxcjWixcvoKOjg3LlyuV52d27d2PGjBnftP2pU6dCIpHI/4yNjVGvXj0EBwfnaT1r165F4cKFFdK/Z6CoRIkSiI6ORqVKlb7L+pRRh/Pl+vXr6NixI6ytrSGVSmFra4sWLVpg//79EAQBQGbQSvZnaGiIihUrYtCgQXjw4IFofWvXrhXltba2RocOHfDkyZMfsXuUDce65TB9zyhsebocx1K2onZL5xzzm1oVxtj1v2FN+CIcSd4M34XdFfLMPzEZx1K2KvzN2Du6oHYDAOBYrzyWhczCgY/rse7en/Dq11ghT+shzbAmfBH2f1iPTY+XwXdBd2hLtQu0XET/Fu8Bnlj/aBkOftqEZVfmolLdnO/xletXwLIrc3Hw0yasf7gULfp7KOSp26YWVof/gYOfN2N1+B+o06pmQRVf7ctFVNA6jvTGX+emYU/s39j2dBmmbB+G4vZWuS6nraMFn6ntsP7eH9gf74+A2wvg2b2+/H3b8sUwacsQrLu7CEc/b0DrwU0KcjfkHOuWw9Lz07H/3RqsvbMQXn0aKuRpPbgJVt+Yh31v12Djg8XoP68L78tE/7L/qUCNulu7di06dOiAT58+4fz583la1tTUFIaGht9chooVKyI6OhrR0dG4ePEi7O3t0aJFC7x///6b1/29fPnyBZqamrCysoKW1n+3997evXvh4uKChIQErFu3Dnfu3MGOHTvQqlUrTJw4UeEzOXHiBKKjo3Hjxg3MmjULERERqFKlCk6ePCnKZ2RkhOjoaERFRWHz5s0ICwtDy5YtkZaW9m/uHuVAV18Xj28+xdKhASrl15Zq4/2bD9gyZw8e33yqNM/09gvRsXh/+V/fKiORlpqGM7tC8l3OyvUrYP2DJdm+b1XSAr/vH4Nb5+5iQI2x2DI3EAP/8EHd1plf3hp2qoPev3fCxpm70MdxBBb1WwW39i7o/XunfJeLSF24daiNAX/0xJZZuzDAaTTCz0Vg1qEJsChhrjS/VckimHlwHMLPRWCA02hsmb0bA//shbptasnzlHdxwMStw3FiYzB8q47EiY3BmLhtOMrVLJPvclZ2q4ANj5dl+/6PKheROqhcrxz2rzyBYW7TMK7FXGhqamDWgTGQFpLmuNyEjYNRtUFF/OG7Gn0qj8acHsvx4n60/H1pIR1EP4mF/6TtiIuO/25lXXd3UbbvW9paYGbgSIRfuIeBLpOwdd4+DFjYDXVbZf4g1ODX2ug1owM2zdqDvlXHYJHvari1q4VeMzp8lzLSf0u6oPFT/v0Mfo5S/kvu3LmD5s2bw8DAAJaWlujWrRvevHkjf//IkSOoW7cuChcuDDMzM7Ro0QKPHj0SrePy5cuoVq0adHV14ezsjOvXr6u0bUEQEBAQgG7duqFz585Ys2aNQp7z58/Dzc0NhQoVgomJCZo0aYJ3794BUOz6FBsbC29vb+jp6aFUqVLYtGmTSuXQ0tKClZUVrKysUKFCBUybNg0JCQm4f/++PM+iRYvg6OgIfX19lChRAgMHDkRCQgIAICgoCD179sT79+/lrTamTp0Kd3d3PH36FMOHD5eny1y4cAH169eHnp4eSpQogSFDhiAxMVH+fsmSJTFz5kz4+PjA2NgYffv2Vdr1KbfPb+fOnXB0dISenh7MzMzQuHFj0XbyKjg4GDVr1oRUKoW1tTXGjh2L1NRUAMD+/ftRuHBhpKenAwDCwsIgkUgwatQo+fL9+/dHp07Kv4wmJiaid+/e8PLywsGDB+Hp6YnSpUujZs2a6NOnD27cuAFjY2PRMmZmZrCysoKdnR1++eUXnDhxArVq1ULv3r1FQRiJRAIrKytYW1ujQYMGmDJlCsLDw/Hw4cN8Hwv6vq4cDcPaKdtxPvCKSvlfPX2NFX7rcGLjWSS+/6w0z8d3iXj36r38z6mxI5I+JePszkuifO1HeGPdvT+x/8N6rAidi3pffRHLK69+Hoh9FoeVI9bj+d0oHPE/jaNrT6OdXwt5nvIuDrh94T5Obz2PV09fI/TETZzedgH21e3yvV0iddF2eAsc8T+Fw2tO4dndl1gxfC1eP38D7wGeSvO38PXA62dvsGL4Wjy7+xKH15zC0YBTaD+ipTxPm6FeCD1+E1vnBOL5vShsnROI6yfD0Waol2hdHUa1xPqHS3EgcRNWXp+Pem1d8r0f37NcRD+bCb/Mx/GNZ/E04iUe33qGhf3/gaWNOeyrlcx2GWcPRzjWK4dJrRbg+unbePXsDe5dfYw7lzJbOt8PfYLV47cieMclpHxJyXZd7f28sPbOQux7uwYrQn5H3dY18r0vLfo2ROzzN1g5ahOe34vCkbXBOLYuGG2HNZfnqVCrDG5ffIDT2y7i1bM3uHYyHEHbL8LBqVS+t0tEecdAzf+Ljo6Gm5sbqlatiqtXr+LIkSN49eoVOnTIjB4nJibCz88PV65cwcmTJ6GhoYHWrVvLv4wnJiaiRYsWKFu2LEJDQzF16lSMHDlSpe2fPn0anz59QuPGjdGtWzds374dHz9+lL8fFhaGRo0aoWLFirh48SLOnTsHb2/vbFtB+Pj4IDIyEqdOncLOnTuxfPlyxMbG5umYJCcny7sxlS1bVp6uoaGBv/76C+Hh4Vi3bh1OnTqF0aMzuk/Url0bixcvlrfaiI6OxsiRI7F7924UL14c06dPl6cDwK1bt9CkSRO0adMGN2/exLZt23Du3DkMHjxYVJb58+ejUqVKCA0NxaRJkxTKmtvnFx0djU6dOqFXr16IiIhAUFAQ2rRpI+8+lFcvX75E8+bNUaNGDdy4cQMrVqzAmjVrMHPmTABA/fr18fHjR3mgLjg4GObm5qJuZEFBQXBzc1O6/mPHjiEuLk5+XJX5OtiljIaGBoYOHYqnT58iNDQ023x6enoAgJSU7B8S6L+nac8GCN5+EUmfkuVpPtM7okkPd/w1eA36VhmJ3X8ewph1g+BYr3y+tlHBxR6hJ26K0kKP3YRDdTtoamkCAG6fvwt7p1IoW6M0AMCqVBHUbFoNlw9dy+eeEakHLW0tOFS3Q+ixG6L00OM3UdG1rNJlyrs4IPS4uM5cPXoDDs6ZdaaCqwNCj4vXefVYGCrUzlxnz5md0MSnAf4a+A/6VBqO3YsPYuyG31C5foV87cv3KhfRf4G+UcZz08d32f/Y5+LlhAfXnqC9nxc2PfoTa27OQ9/ZnaCjm7fuQz5T28GzWz0sGbIW/ZzGYveSIxjj7wvHXLpQZqd8rTIIPRkuSrt64hYcnErJ63L4hfuwr1YSZZ0zfjCxKmmBGk2qIORIWL62SUT589/tN5JHK1asgJOTE2bNmiVP8/f3R4kSJXD//n04ODigbdu2omXWrFmDIkWK4M6dO6hUqRI2bdqEtLQ0+Pv7o1ChQqhYsSJevHiBAQMG5Lr9NWvW4Ndff4WmpiYqVqyIMmXKYNu2bejTpw8AYN68eXB2dsby5cvly1SsWFHpuu7fv4/Dhw/j0qVLqFWrlnz95cvn/mXr1q1bMDAwAAB8+vQJhoaG2LZtG4yMjOR5vm65U6pUKcyYMQMDBgzA8uXLoaOjA2NjY3mrja9pamrC0NBQlD5//nx07txZvk57e3v89ddfcHNzw4oVK6CrqwsAaNiwoSjoFRkZKVp3bp9fQkICUlNT0aZNG9ja2gIAHB0dcz0e2Vm+fDlKlCiBpUuXQiKRoFy5coiKisKYMWMwefJkGBsbo2rVqggKCkL16tURFBSE4cOHY9q0afj48SMSExNx//59uLu7K12/rAXT1wGyK1euoEGDBvLXW7duRYsWLRSW/ZpsvKPIyEjUrKk4VsCLFy8wf/58FC9eHA4ODgrvJycnIzk5WZSWLqRBQ6KZ43ZJvZWtURqlKtlgUb9V8jTdQlK0HeaF0Z4zEPH/v/jFPIlFpTpl4dW3MW6djcjzdkwsC+PdK3EXvXex76GlrQVjc0O8jYlH0PaLMLYwwqKgaZBIMr7c7l95DNvm7/u2nST6wYzNDaGppYl3r+JF6e9excPEqrDSZUytCuOqkvxf1xkTKyX16tV7+Tp1C0nRdngLjGo0DRGXMu4lMU9iUaluOXj188DNM3fyvC/fo1xE/xX95nZB+Pl7eHrnRbZ5rEsVQcXaDviSlILpHf+EkZkhBv/ZA4Ym+ljku1ql7UgLSdFmSDOMaTYbESEZrZ5jIl+jYm0HePVpgFvn7ua57CaWxojPUk/jYz/8f102wNuY9wjecQnG5oZYeHJS5n151QlsX3Agz9sjovxjoOb/hYaG4vTp0/IgxdcePXoEBwcHPHr0CJMmTcKlS5fw5s0beUuaZ8+eoVKlSvIxQQoVKiRf1tXVVbSuihUr4unTjDEk6tWrh8OHDyM+Ph67d+/GuXPn5Pm6du0Kf39/eaAmLCwM7du3V2lfIiIioKWlBWfnzP6m5cqVUzrAb1Zly5bFvn0ZX5A+fvyIbdu2oX379jh9+rR8fadPn8asWbNw584dfPjwAampqUhKSkJiYiL09fVVKqNMaGgoHj58KOqaJQgC0tPT8eTJE3lw6et9yW49OX1+np6eaNSoERwdHdGkSRN4enqiXbt2MDExwdmzZ9GsWTN5/lWrVqFLly45bi8iIgKurq6iVi116tRBQkICXrx4ARsbG7i7uyMoKAh+fn44e/YsZs6ciV27duHcuXOIj4+HpaVlngaOrly5sryrl729vbybVU5kLYa+Luf79+9hYGAAQRDw6dMnODk5Yffu3dDR0VFYfvbs2Zg2bZoozU5SEaU1C24QZyp4TXs2wJPwZ7h3JbPrpk2FYpDq6WDO4QmivFo6WngUFil/vffdWvn/Gpoa0JZqidLCz93FBO85mSvI2mpNIkvOSK9cvwI6jW2NJb+twd3LD1GstBUGLOqBt9Hx2DRr9zftJ5E6UKgCEkmOrTmzvie7fouSFfJkptlUKA6png7mHhO3PtXS0cLD65kDx+/7sEH+v6wuf51262wEJnhl/vjxreUi+i8Y9EcPlHIsgRGNcp7AQ6IhgSAAc3quwKcPGV2S/x6zGRM3/4alw9bhS1LurZhtyxeFVE8Hsw+MEaVr6Wjh0Y3M8egCX/8j/19Wl79OCz9/DxNbLZC/VqiSEnF65Xrl0Gl0SywduhZ3rzxC0dKWGLCgK97GxGPznL25lpv+t6Rzeu4Cw0DN/0tPT4e3tzfmzp2r8J61tTUAwNvbGyVKlMA///yDokWLIj09HZUqVcKXL18AKD7EKHPo0CF5FxNZl5PNmzcjKSlJ3vpFtq709HTcuXMHFSpUkOdVhbIv56rS0dFBmTKZA/9Vq1YNgYGBWLx4MTZu3IinT5+iefPm8PX1xYwZM2Bqaopz586hd+/e+eo6k56ejv79+2PIkCEK79nY2Mj/zy0AlNvnp6mpiePHj+PChQs4duwYlixZggkTJiAkJATOzs6isW4sLS1zLbcgCArHN+txd3d3x5o1a3Djxg1oaGigQoUKcHNzQ3BwMN69e5dttycgIxADAPfu3YOLS8a4AlKpVPTZqCIiIqMVRKlSmf2KDQ0Nce3aNWhoaMDS0jLHYztu3Dj4+fmJ0tqY9s5TGUi9SPV04N6hNtZN2yFK19DI6Ak7seVcxEW9Fb2XkpwZFBzgnPnAWK5mGfSe1RmjGk+XpyV//iL/X1nLARMLY6SmpOJDXMa4Vj2mdcDJTWdxxP80ACAy/Dl09aUYuqIvNs/ek+/uiUQ/2vs3H5GWmgbTLHWgcBHFX7Rl3sbEw9TKRCF/Rp3J6A79LkaxXhUuYixvzaKhkXEPmthiNt68zFqXM+/TvtUyx0wrV6sM+szpipENpsrTvq7L36NcRD+7gYu6wbVFNYxo/DvevHyXY963MfGIi3onD9IAwLO7UdDQ0IB5MVNEPXqV6/Yk/39fntR6oeJ9+UvmfXlgrcwfWMrWLIPeMztitOfv8rTkr4JCGa3cxGMcFrYwEt+Xp7TDyS3ncWRtRnf9yNsvoFtIiqHLemHL3H28LxP9Sxio+X9OTk7YtWsXSpYsqXQmobi4OERERGDVqlWoV68eAIhawABAhQoVsGHDBnz+/FkeWLl0STxQp6zbzdfWrFmDESNGwMfHR5Q+ZMgQ+Pv7Y8GCBahcuTJOnjyp0LpBmfLlyyM1NRVXr16Vd3e5d+8e4uPjc11WGU1NTXz+nHGjuXr1KlJTU7Fw4UL5F7vt27eL8uvo6CgdO0dZupOTE27fvp3nAERWuX1+QEYApU6dOqhTpw4mT54MW1tb7NmzB35+fnnefoUKFbBr1y5RwObChQswNDREsWLFAGSOU7N48WK4ublBIpHAzc0Ns2fPxrt37zB06NBs1+/p6QlTU1PMnTsXe/bsyVPZZNLT0/HXX3+hVKlSqFatmjxdQ0ND5f2VSqWQSsWzGrDb08+tfntXaEu1cHLTWVH60zsv8CXpC4rYmOfYzenrh0vzYmZIS03P9oHzzqUHcPFyEqU5eVTG/dDHSEvNuBboFtJBerr4oS8tLf3/Bx3nj/H080pNScX90Mdw8qiM84GX5elOjSvjwj7lA4VHXLoPlxbiFqTVPavg/tXMOnPn4n1Ub1wZuxcfzMzjUQV3LtwDIK7LOXVzinoUI//fvLgp0lLTRGnfu1xEP7NBf3RH7ZbVMcpzFl49fZ1r/tsXH6Bem5rQ1ZciKTGjC3lxeyukpaUrBFCz8yziZUZdLmGWYzenqMeZY1CaF/v/uvxY+biUESEPUat5NVFa9UaOuH/tibwuS/V0IGS5L6en875M9G/7nxtM+P379wgLCxP9PXv2DIMGDcLbt2/RqVMnXL58GY8fP8axY8fQq1cvpKWlwcTEBGZmZvj777/x8OFDnDp1SqGlQefOnaGhoYHevXvjzp07OHToEBYsWJBNSTKEhYXh2rVr6NOnDypVqiT669SpE9avX4+UlBSMGzcOV65cwcCBA3Hz5k3cvXsXK1asEM1qJFO2bFk0bdoUffv2RUhICEJDQ9GnTx+VWuWkpqYiJiYGMTExePDgAWbOnIk7d+7gl19+AQCULl0aqampWLJkCR4/fowNGzZg5cqVonWULFkSCQkJOHnyJN68eYNPnz7J08+cOYOXL1/Kyz1mzBhcvHgRgwYNQlhYGB48eIB9+/bht99+y7WsX8vt8wsJCcGsWbNw9epVPHv2DLt378br169zHbcnu/Nl4MCBeP78OX777TfcvXsXe/fuxZQpU+Dn5ycPYMnGqdm4caN8LJr69evj2rVrOY5PAwAGBgZYvXo1Dh48CC8vLxw9ehSPHz/GzZs3MW/ePAAZAbSvxf0fe3cdFlXahgH8HhqDTpVWQARUdO3Cwq5VbEEsMFBs18LuWNfeFbDFYF1bUUHFBluwAwNEUFBCFJjvDz5GR0Bn2Jl1kPt3XeeSec973vOcgePMPPNGUhLi4+Px6NEj7Nu3D82bN8elS5ewYcOGfHVJsWmUVod1VQtYV81N7JpYGcG6qgUMzfQBAF6ze2Bc4FCxY/Lqa5ZRh46hFqyrWsC8cvl8bbfq74pz/0Ti/ZtUsfKM1A/YvfQAvBf3RYu+jWBqbQybapZo79MSLfo2KtJ1HFwfCmMLAwxZ1Bdm9uXg5tkErfq7YvfSz+PcLxy4gnZDmqOJe12YWBrCpZkTPPzdcX5/VL4EDlFxs2fZAbQe0Axu/V1hbl8e3ks9YGRugANrjwEAvOb2wvigz5PnH1gbCiMLAwxZ4gFz+/Jw6++KVl5NsWvJ5zmb/l5xEDVaVkX38R1hZlcO3cd3hEtzJ4T8npsgyUj9gF1L9sN7qQda9Gssupc7DHVDi36F9+T8FlnERVRcDV/ugaY96mG+xxpkpH6ArrE2dI21xSYG7j/THeP+GiJ6HBZ8Du/fpGLM+sEwty8Hx/p2GDi3B45tPCUa9qSiqgxrZ3NYO5tDVU0F+uV0Ye1sjnLWRgD+/7q8/DCGLOyN5r0bwNTKCDZVLdB+SHM0792gSNdy4M+TMDY3wOAFvWBmVw4t+zWCm2dj7Fl+SFTnwqGraDuoGRp3qwNjC0O4NHWEx7SuuHDwCl+XKZ8cCIrlVhyUuB414eHhYr0LAMDDwwNBQUE4e/YsJkyYADc3N2RmZsLCwgKtWrWCkpISBAIBduzYAV9fXzg6OsLOzg4rVqwQ+7BdpkwZ7N+/H97e3qhevTocHBywYMGCfJMQf2nDhg1wcHAocK6STp06wcfHB/v370eXLl1w7Ngx/Pbbb6hVqxY0NTVRu3btQpd3DgwMxMCBA9G4cWMYGxtj9uzZBa6W9LXbt2+LhnqVKlUKNjY2WLNmDfr16wcAqFatGpYuXYoFCxZg0qRJaNSoEebNmyfaD+Su/OTt7Y3u3bsjKSkJ06dPh7+/P2bOnIkhQ4bAxsYGmZmZEAqFcHZ2xqlTpzB58mQ0bNgQQqEQNjY26N69+3dj/VK5cuW++fvT0tLC6dOnsXz5crx79w4WFhZYsmSJ2Nw0BfnW38uhQ4cwbtw4VK1aFXp6ehgwYACmTJkiVtfV1RVXrlwR/Z3o6urCwcEBL1++/G6SqHPnzjh37hwWLFiAfv364c2bN9DW1kbNmjULnEi4efPmAHJ/bxYWFnB1dcX69ev/dW8l+u/Z1rDB4hPTRI+9F+feX8c2ncLiAWugZ6oLIzMDsWPWRi4QO75pzwaIf/Ia/Sp9TnqWr2QKpwb2mNhqDgoSNH0nkl+/Q4/xHWFibYy05DTcv/oYO+bvLdJ1xD95jcntF8B7ST+092mJNy/fYrVfECL+/ty7YOvcEAiFQnjM6A6D8npIef0OFw5GIXBqcJHOSaRITu08By39MugztSv0THXx5NYzTG47FwmxuV9W6Jvowsj8870c/yQBU9rOg/dSD3QY6oakl2+xemQAIkIuiupEn7+HOT2Xw3NWD3jM7IG4h/GY02MZ7lx6IKoTNHUHkhNS0GNiZ5haGyM1OQ0PrjzG9nlFm/dJVnERFUfth+S+v1ocKj6H2+JB6xG6Jbd3qp6JjujLFAD4kJaJSW0XYOjSfvjj7Ey8f5OK03suIsh/t6iOvqku1lz8/Hrcza8tuvm1xfXTMRjvljs/1MYZu3Nfl8e1h4mVEdKS0/Hg2hNsX1i0CfdfPX2NKZ0WY8jC3mg/pDnexCVjzZjNiNgbKaqzbf4/EAoBz+ldoV9OFymJ73Dh4DUE+e/6RstEJGsCIQcaEpEUWqr2+NEhEJEMCAsYokpExY+SusaPDoGIZOBoxubvV1IwvS8O+tEhFMnW2n9+v9IPVuKGPhERERERERERKaoSN/SJiIiIiIiIiP4dLs8tP+xRQ0RERERERESkIJioISIiIiIiIiJSEEzUEBEREREREREpCM5RQ0RERERERERSyRGy34e88JklIiIiIiIiIlIQTNQQERERERERESkIDn0iIiIiIiIiIqlweW75YY8aIiIiIiIiIiIFwUQNEREREREREZGCYKKGiIiIiIiIiEhBcI4aIiIiIiIiIpJKDjhHjbywRw0RERERERERkYJgooaIiIiIiIiISEFw6BMRERERERERSYXLc8sPe9QQERERERERESkIJmqIiIiIiIiIiBQEEzVERERERERERAqCc9QQERERERERkVQ4R438sEcNEREREREREZGCYKKGiIiIiIiIiEhBcOgTEREREREREUmFQ5/khz1qiIiIiIiIiIgUBBM1REREREREREQKgokaIiIiIiIiIiIFwTlqiIiIiIiIiEgqnKNGftijhoiIiIiIiIhIQTBRQ0RERERERESkIDj0iYiIiIiIiIikkgMOfZIX9qghIiIiIiIiIlIQTNQQERERERERESkIJmqIiIiIiIiIiBQE56ghIiIiIiIiIqlweW75YY8aIiIiIiIiIiIFwUQNEREREREREZGC4NAnIiIiIiIiIpIKhz7JD3vUEBEREREREREpCCZqiIiIiIiIiIgUBIc+EZFUhNnZPzoEIiIi+j8lE8MfHQIREckYEzVEREREREREJBXOUSM/HPpERERERERERKQgmKghIiIiIiIiIlIQHPpERERERERERFLh0Cf5YY8aIiIiIiIiIiIFwUQNEREREREREZGCYKKGiIiIiIiIiEhBcI4aIiIiIiIiIpKKkHPUyA171BARERERERERKQgmaoiIiIiIiIiIFAQTNURERERERERECoJz1BARERERERGRVHLAOWrkhT1qiIiIiIiIiIgUBBM1REREREREREQKgkOfiIiIiIiIiEgqOVyeW27Yo4aIiIiIiIiISEEwUUNEREREREREpCCYqCEiIiIiIiIiUhCco4aIiIiIiIiIpCLkHDVywx41REREREREREQKgokaIiIiIiIiIiIFwaFPRERERERERCQVLs8tP+xRQ0RERERERESkIJioISIiIiIiIiJSEEzUEBEREREREREpCM5RQ0RERERERERS4fLc8sMeNURERERERERECoKJGiIiIiIiIiIiBcGhT0REREREREQkFS7PLT/sUUNEREREREREpCCYqCEiIiIiIiIiUhBM1BARERERERERKQjOUUNEREREREREUhEKf3QEPy/2qCEiIiIiIiIiUhBM1BARERERERERKQgOfSIiIiIiIiIiqeSAy3PLC3vUEBEREREREREpCCZqiIiIiIiIiIgUBBM1REREREREREQKosQlap48eQKBQIBr167J9TxNmjTBqFGjvlnH0tISy5cvl2sc/5X/6nmVt/DwcAgEAiQnJwMAgoKCoKOj80NjIiIiIiIiUjRCoaBYbsXBD03UeHp6olOnTj8yhG96/vw51NTUYG9vL/WxISEhmDVr1r86v7+/PwQCgWjT1tZGw4YNcerUKanaKSzZIMtEkZmZGeLi4uDo6CiT9gri6ekJgUAAb2/vfPuGDh0KgUAAT09PmZ6ze/fuuHfvnkzblMaDBw/g5eUFc3NzqKuro3z58mjWrBm2bt2KrKwsUb0v/05Kly6NSpUqwdPTE1FRUWLt5SWi8jZDQ0O0bt0a169f/68vjQrRzrsl1l1bjL3JG7E3eSN+PzsHv7SqVmj9Bp1rYf7Rqdj1aoOofs2WVcXqtB7YDEtPzURIUiBCkgKx4NhU2P1SUc5XAjg3csCqywtwMH0rNj1YiXZDWojtX3zSH6E5u/Jts/dPkntsRP+V9j4tsenhKhxM34pVlxfAscG331N8774BgAZdauOvW8twMGMb/rq1DPU71ZJX+AofF5G8Odayhv9fA7DlwnQcfrwUdVt8+72urmFZjF/eB3+emIiDDxdjyNRO+eos2D4Uhx8vzbfN2DBQTleRy6m2DVbs88M/dxYg4NRktOlVV2y/sooSeo1oiYDw3/DPnQVYdWgsajSS/nMQEf17Ja5HjTSCgoLg7u6O9PR0nD17Vqpj9fT0ULZs2X8dQ5UqVRAXF4e4uDicP38elSpVQrt27ZCSkvKv25aVjx8/QllZGSYmJlBRke9CYmZmZtixYwcyMjJEZR8+fMD27dthbm4u8/NpamrCyMhI5u1K4tKlS3BxcUFMTAxWrVqFW7du4cCBA/Dy8sLatWtx+/ZtsfqBgYGIi4vD7du3sWrVKqSmpqJ27drYtGlTvrbv3r2LuLg4HDx4EG/fvkWrVq0U6m+qJEt8noQNk7Zi2C8TMeyXibgWdgsz9k6AhUOFAus7NXLAlePXMbntXAyrOQHXw29h5r6JsKlmKapTtXEVhO2IwLimMzCy3mQkPEvE/KNToF9Or8hxOjd2wOZHqwrdb2JphNkHJ+FWRAx8XMZj+7wQDP3dCw261BbVmfHrYribDhJtAx39kJ2VjdO7zxc5LiJF0ti9HnyW9cf2uXvg4zIetyJiMPfQZBiaGRRYX5L7pnIdW0zZ4YfjW07Bu9pYHN9yClOC/WBfq+jJV1ncz/KIi0gRaGiq4VHMS6yeHiJRfVU1FaS8ScWOVcfxOOZlgXVmeQeh1y/TRduQlguQnZWNM4eK/sWZU20bBJ2ZUuh+4wp6mBkwELcvP8bwtksQvPo4vKd3Rv1WzqI6HmPaoHWvuljj/zeGtFiAQ1vPYeq6/rBxKF/kuIioaBQ6URMdHY02bdqgTJkyMDY2Rt++fZGYmCjaf+TIETRo0AA6OjrQ19dHu3bt8PDhQ7E2Ll26hOrVq0NDQwM1a9bE1atXJTq3UChEYGAg+vbti169emHDhg356pw9exaNGzdGqVKloKurCzc3N7x9+xZA/qFPCQkJaN++PTQ1NWFlZYWtW7dKFIeKigpMTExgYmICBwcHzJgxA6mpqWK9PJYuXQonJyeULl0aZmZmGDp0KFJTUwHk9qDo378/UlJSRL0o/P390aRJEzx9+hR+fn6i8jznzp1Do0aNoKmpCTMzM/j6+iItLU2039LSErNnz4anpye0tbUxaNCgAoc+fe/3t3v3bjg5OUFTUxP6+vpo3ry52HkK4uLiAnNzc4SEfH6xDAkJgZmZGapXry5WVygUYuHChbC2toampiaqVq2K3bt3i9U5dOgQbG1toampCVdXVzx58kRs/9e9kQrqBTZq1Cg0adJE9LhJkyYYMWIERo0aBV1dXRgbG2P9+vVIS0tD//79UbZsWdjY2ODw4cOFXqdQKISnpydsbW1x9uxZtG/fHpUqVUL16tXRu3dvnDlzBs7OzmLH6OjowMTEBJaWlmjZsiV2796N3r17Y/jw4aK/yzxGRkYwMTFBrVq1sGTJEsTHx+PChQuFxkP/nQsHonDp8FW8uB+HF/fjEDhlOzJSP6ByHdsC66/xC8LORftwL/IhXjyIR8Dk7XhxPw5129cU1ZnfdwX2rzmGh9ef4Nndl1g2aB0ESgJUbyb+raD7uA7Y9GAlDqRtxdqri9Dw1zpFvo523i3wOjYRa/yCEHvnBQ5vOImjgSfRbUwHUZ33b1Px9lWyaHNp4YwP6Zk4vYuJGvo5/OrXDkcCTuLwhpOIvfMCa/yC8PpZItr7tCywviT3TZeRbREVegM75u/Fs7svsWP+Xlw9cQtdRrYVa+u/vp8ljYuouIk8dQeblhzGuaM3Jaqf8OIt1s3cixMhkUh7/6HAOqkp6Xib+F60uTSwQ2bGp3yJmq5DXBFwajL2xuT2bmnQ2rnA9iTRtnc9JLxMxrpZe/HsYQKOBl/EsV2X8OugJqI6TTvXQPDq47gcHoP4Z29wcOs5RJ2+gy5f1CH6Uo5QUCy34kBhEzVxcXFo3LgxqlWrhsjISBw5cgSvXr2Cu7u7qE5aWhpGjx6Ny5cv48SJE1BSUkLnzp2Rk5Mj2t+uXTvY2dkhKioK/v7+GDt2rETnDwsLQ3p6Opo3b46+ffti586deP/+vWj/tWvX0KxZM1SpUgXnz59HREQE2rdvj+zs7ALb8/T0xJMnT3Dy5Ens3r0bq1evRkJCglTPSWZmpihxYGdnJypXUlLCihUrcOvWLWzcuBEnT57E+PHjAQD16tXD8uXLoaWlJeqZM3bsWISEhKBChQqYOXOmqBwAbt68CTc3N3Tp0gU3btxAcHAwIiIiMHz4cLFYFi1aBEdHR0RFRWHq1Kn5Yv3e7y8uLg49e/aEl5cXYmJiEB4eji5dukAoFH73eejfvz8CAwNFjwMCAuDl5ZWv3pQpUxAYGIg1a9bg9u3b8PPzQ58+fURDx549e4YuXbqgTZs2uHbtGgYOHIiJEyd+9/yS2LhxIwwMDHDp0iWMGDECPj4+6NatG+rVq4crV67Azc0Nffv2RXp6eoHHX7t2DTExMRg7diyUlAq+Tb9MrhXGz88P79+/R2hoaKF1NDU1AQCfPn2S4Mrov6SkpIQm3etBo7Q6os9LNgRPIBCgVFlNvH+TWmgd9VJqUFFVEavTf3ZPuHm6YsXQPzHQ0Q8hyw9i4uYRcG7kUKTYK9exRVToDbGyyKPXYVvTGsoqygUe09qrGcKDz+FDemaRzkmkSFRUVWBbwxpRx8Q/eEWF3kCVunYFHiPJfeNQ1xZRoeJtRh67Bod6n9v8EfezJHERUcFautfGqQNXkZnxUVTmMbY1WnSthZVTd8O75QL8veEUxi3rDafaNkU6h72LBa6cuStWduX0XVRyMoOySu57TVU1FXzMzBKr8/HDJ1SpaVWkcxJR0cl3nMq/sGbNGri4uGDu3LmisoCAAJiZmeHevXuwtbXFr7/+KnbMhg0bYGRkhOjoaDg6OmLr1q3Izs5GQEAASpUqhSpVquD58+fw8fH57vk3bNiAHj16QFlZGVWqVEHFihURHByMgQNzx44uXLgQNWvWxOrVq0XHVKlSpcC27t27h8OHD+PChQuoXbu2qP3KlSt/N46bN2+iTJkyAID09HSULVsWwcHB0NLSEtX5sueOlZUVZs2aBR8fH6xevRpqamrQ1taGQCCAiYmJWNvKysooW7asWPmiRYvQq1cvUZuVKlXCihUr0LhxY6xZswYaGhoAgKZNm4olvb7uifK9319qaiqysrLQpUsXWFhYAACcnJy++3wAQN++fTFp0iRRL56zZ89ix44dCA8PF9VJS0vD0qVLcfLkSdStmzv+1traGhEREVi3bp3oeqytrbFs2TIIBALY2dnh5s2bWLBggURxfEvVqlUxZUpu99NJkyZh/vz5MDAwwKBBgwAA06ZNw5o1a3Djxg3UqZP/W868HlNfJuQSEhJgbW0terxw4UIMHTr0m3Hkza/09e8nT1JSEmbMmIGyZcuiVq38cwlkZmYiM1P8Q3OOMBtKgoI/aJNsWDqaY8W5OVDTUEVG6gfM6LIIsTHPJTq265j20CitjlM7zxVaZ+D83kh88QZXjud+O6hRSh2/+rXDuGYzEHMh928v/nECHBvYo+3gFrhxOlrqa9Az0UHkq2SxsrevkqGiqgJtg7J4Ey++z+6XirByMseSgWukPheRItI2KAtlFWW8LeA+0DXRKfAYSe4bXRMdvH2V8lWdFFGbP+p+/l5cRFQw26rmsLI3xfKJwaIydU01dB7QBBN7rcadq08BAPHP3qDKL1Zo3bMubl58WFhzhdI1LIvkxPdiZW8T30NFVRlauqXx9vV7RJ2+iy4DGuPWpYeIe5qEavUroU4LRygX8qUhEcmPwiZqoqKiEBYWJkpSfOnhw4ewtbXFw4cPMXXqVFy4cAGJiYminjSxsbFwdHRETEwMqlatilKlSomOzfvQnqdKlSp4+jT3P8CGDRvi8OHDSE5ORkhICCIiIkT1+vTpg4CAAFGi5tq1a+jWrZtE1xITEwMVFRXUrPl5KIK9vb1EqwnZ2dlh3759AID3798jODgY3bp1Q1hYmKi9sLAwzJ07F9HR0Xj37h2ysrLw4cMHpKWloXTp0hLFmCcqKgoPHjwQG5olFAqRk5ODx48fi5JLX15LYe186/fXsmVLNGvWDE5OTnBzc0PLli3RtWtX6Orq4syZM2jdurWo/rp169C7d2/RYwMDA7Rt2xYbN26EUChE27ZtYWAgPt4/OjoaHz58QIsW4pMdfvz4UTREKiYmBnXq1BHrmfL130dRfTksSVlZGfr6+mKJKGNjYwD4bq+qL2PT19cXDS1r0qQJPn78WMhRn+X1UPq6902FCrnznaSlpaFSpUrYtWtXgXPxzJs3DzNmzBArs0Jl2KDgpCTJxvO7L+FdfRzK6JRCg1/rYFzQcIxpMv27yRrXHvXRd3o3TO+0EMmv3xVYx31cBzTp0QBjXafjU2ZuLypzhwpQ11TDgmPiveNU1FTw4Opj0eN97zaLflZSVoKquopY2c0zMZjc9nNy9usecnl/hwV1nGs1oCke34zF3csPvnmNRMXN13/vAoHgm71HJbpv8tX5XPZD7+dvxEVEBXNzr43Hd+Jw73qsqMyikjHUNVQxd7P4Ahoqqsp4GP1C9Djk1jzRz0rKSlBVUxYru3X5Eab1/1P0OP//R3k7cv9ZN/Nv+M5zx/rjEwGhEHGxSQjdfQktunJicKL/msImanJyctC+ffsCezeYmpoCANq3bw8zMzP8+eefKFeuHHJycuDo6Cj6ACvJMJpDhw6JhnzkDQHZtm0bPnz4IOr9ktdWTk4OoqOj4eDgIKoricI+LEtCTU0NFSt+noivevXq2Lt3L5YvX44tW7bg6dOnaNOmDby9vTFr1izo6ekhIiICAwYMKNJQlpycHAwZMgS+vr759n05We/3EkDf+/0pKysjNDQU586dw7Fjx/DHH39g8uTJuHjxImrWrCk2101eUuNLXl5eouFYq1blnwAxL2l38OBBlC8vPgGauro6AMn+Pr6mpKSU77iCnmdVVVWxxwKBQKws728hL86vVapUCQBw584dVKtWDUBuwifvb0HSSZtjYmIA5Pa0+tKZM2egpaUFQ0NDsd5ZX5s0aRJGjx4tVtZZ21Oic1PRZX3KwsuH8QCAe1GPYFfTBp1HtsHv3usLPaaxez2M/ssHs9yX4uqJgsfRdx3THj0ndcGEFjPx+ObnN4RKSrl/j1PazUPiizdix+QlcwDAu/o40c/2tSti4Pw+GOvqLyr7ssv2m/hk6JnoirWlY6SNrE9ZeJck/o2euqYaXLvXx8bpwSD6WaQkvkd2Vjb0vupRomOkjeSvep7kkeS+eRufv0eOjpG2qDfLj7qfvxcXEeWnrqGKxu2qYfOyI2Llgv/fx9MH/IXEePF76NPHz0OThrVdIvrZvpo5vCa0w/ien3v7f/zw+Z5/+/o9dA3FFzrR0S+LrE/ZeJecO0dkyps0zBoSCFU1FWjplkbSqxR4TWiHV8/E/y8hysNcvPwobKLGxcUFe/bsgaWlZYEfSpOSkhATE4N169ahYcOGACDWAwYAHBwcsHnzZmRkZIgSK19PmJo37OZLGzZswJgxY/It9ezr64uAgAAsXrwYzs7OOHHiRL7eBgWpXLkysrKyEBkZKRpecvfuXSQnJ3/32IIoKyuLVj2KjIxEVlYWlixZIprLZOfOnWL11dTUCpw7p6ByFxcX3L59Wyw5VBTf+/0BucmK+vXro379+pg2bRosLCzw999/Y/To0d89f6tWrUQJOTc3t3z7HRwcoK6ujtjYWDRu3LjANhwcHLB3716xsu9NqGtoaIhbt26JlV27di1fYubfql69Ouzt7bF48WK4u7sXOk/N9+TNT9S8eXOxcisrK4l6dKmrq4sSW3k47Om/JxAIoKZW+N+Ya4/6GLNhKOb2Wo5Lh64UWKfb2A7oPflXTGo1G/eiHontexr9HB8/fISRucE3h0XkJY8AwKCCHrKzssXKvhRz4R7qtBPveVejZVXci3yE7Czx/3cau9eDqroKjm85Xei5iYqbrE9ZuBf1CC4tnHF27yVRuUtzZ5zbd7nAYyS5b6LP30ON5s4IWX7wc50WVRF9LnfuiR91P38vLiLKr2HbalBVV8HJvVFi5bH3X+Fj5icYltP55jCnuKefF+kwMNFGdnaOWNmX7lx5itrNxOepcmloi/s3nyE7S/yLw08fs5D0KgXKKkqo38oZpw9ek/LKiOjf+uEDDlNSUnDt2jWxLTY2FsOGDcObN2/Qs2dPXLp0CY8ePcKxY8fg5eWF7Oxs6OrqQl9fH+vXr8eDBw9w8uTJfN/89+rVC0pKShgwYACio6Nx6NAhLF68+JvxXLt2DVeuXMHAgQPh6OgotvXs2RObNm3Cp0+fMGnSJFy+fBlDhw7FjRs3cOfOHaxZs0ZsVaM8dnZ2aNWqFQYNGoSLFy8iKioKAwcOlKhXTlZWFuLj4xEfH4/79+9j9uzZiI6ORseOHQEANjY2yMrKwh9//IFHjx5h8+bNWLt2rVgblpaWSE1NxYkTJ5CYmCiawNbS0hKnT5/GixcvRHFPmDAB58+fx7Bhw3Dt2jXcv38f+/btw4gRI74b65e+9/u7ePEi5s6di8jISMTGxiIkJASvX7+WaN4eIDdZFRMTg5iYGCgr508clC1bFmPHjoWfnx82btyIhw8f4urVq1i1ahU2btwIAPD29sbDhw8xevRo3L17F9u2bUNQUNA3z9u0aVNERkZi06ZNuH//PqZPn54vcSMLAoEAgYGBuHv3LurXr499+/bh/v37iI6Oxtq1a/H69et8152cnIz4+Hg8ffoUoaGh6Nq1K7Zt24Y1a9ZIlJQhxeA1pyccG9jD2MIQlo7m6D+7J5ybVMGJbWdy98/thfFBnyf3du1RH+M3Dse6sRsRc+E+dI11oGusg1Jan4d8uo/rAM9ZPbB4wGrEP3ktqqNROnfOqYzUD9i1ZD+8l3qgRb/GMLU2hk01S3QY6oYW/QpOdH7PgbWhMLIwwJAlHjC3Lw+3/q5o5dUUu5bsy1e3lVdTnN17+ZsTIBMVR3uWHUDrAc3g1t8V5vbl4b3UA0bmBjiw9hiA/PezJPfN3ysOokbLqug+viPM7Mqh+/iOcGnuhJDfcxMkP+p+/l5cRMWVRik1WFcuB+vK5QAAxmZ6sK5cDobldAAAnuPaYsySnmLH5NXXKKUObb3SsK5cDuYV8/cQd+teG+eP3cL7ZPHFJTLSMrHnz3AMntIRzbvUhKm5PmwcyqNd3/po3uXb0w8U5uDWczAqr4tBkzvAzMYILbvVQkv32tjzZ7iojl01c9Rzc4KJmR6q/GKF2UGDIVASYPe6k0U6JxEV3Q/vURMeHp5vWWUPDw8EBQXh7NmzmDBhAtzc3JCZmQkLCwu0atUKSkpKEAgE2LFjB3x9feHo6Ag7OzusWLFCbJnkMmXKYP/+/fD29kb16tXh4OCABQsW5JuE+EsbNmyAg4ODaBLWL3Xq1Ak+Pj7Yv38/unTpgmPHjuG3335DrVq1oKmpidq1a6Nnz54FtAoEBgZi4MCBaNy4MYyNjTF79uwCV0v62u3bt0VDvUqVKgUbGxusWbMG/fr1AwBUq1YNS5cuxYIFCzBp0iQ0atQI8+bNE+0Hcld+8vb2Rvfu3ZGUlITp06fD398fM2fOxJAhQ2BjY4PMzEwIhUI4Ozvj1KlTmDx5Mho2bAihUAgbGxt07979u7F+qVy5ct/8/WlpaeH06dNYvnw53r17BwsLCyxZskRsbprv+daQHQCYNWsWjIyMMG/ePDx69Ag6OjpwcXHBb7/9BiB3KNeePXvg5+eH1atXo1atWpg7d26BK0jlcXNzw9SpUzF+/Hh8+PABXl5e6NevH27elGzJRmnUqVMHUVFRmDt3LoYNG4b4+HiULl0aVatWxbJly/LF2b9/fwCAhoYGypcvjwYNGuDSpUtwcXGReWwkPzrGOpiwaQT0THWRlpKOxzee4rfWc3DleO6KK/omujAy/zwnU9vBLaCiqgLfVYPgu2qQqPxYUDgWeeUOC2zv4wY1dVVM3y2+6t2mGTuxecYuAEDQ1B1ITkhBj4mdYWptjNTkNDy48hjb54UU6TrinyRgStt58F7qgQ5D3ZD08i1WjwxARMhFsXrlK5nCqWFlTGg5q0jnIVJkp3aeg5Z+GfSZ2hV6prp4cusZJredi4TY3C9Hvr6fJblvos/fw5yey+E5qwc8ZvZA3MN4zOmxDHcufZ7f6Ufcz5LERVQcVXIyw8Idw0SPh0ztBAAI3X0JS8ftgJ5RWRiVEx8auOrQ59dbW2czuHaqgVfP38Cz4WxReXkrQzj+Yo3f+op/wZpn05LDSE5KhfvQZjAx00fauww8uP0CwauPF+k6Xj1/g2lef2HwlI5o37cBkhJSsHbG3zh75POKbmrqqvAY0xom5vrISMvE5fAYLBq9rdBlxolIfgTCokzUQUQlVgslySbRJiIiIvlTsTD70SEQkQwcfrz0R4cgNef90350CEVyo/3MHx3Cd/3woU9ERERERERERJSLiRoiIiIiIiIiIgXxw+eoISIiIiIiIqLiRSgU/OgQflrsUUNEREREREREpCCYqCEiIiIiIiIiUhBM1BARERERERERKQjOUUNEREREREREUsnhHDVywx41REREREREREQKgokaIiIiIiIiIiIFwaFPRERERERERCQVofBHR/DzYo8aIiIiIiIiIiIFwUQNEREREREREZGCYKKGiIiIiIiIiEhBcI4aIiIiIiIiIpKKkMtzyw171BARERERERERKQgmaoiIiIiIiIiIFASHPhERERERERGRVDj0SX7Yo4aIiIiIiIiISEEwUUNEREREREREpCCYqCEiIiIiIiIiUhBM1BARERERERGRVITFdJPW6tWrYWVlBQ0NDdSoUQNnzpz5Zv2tW7eiatWqKFWqFExNTdG/f38kJSVJdU4maoiIiIiIiIiIvhIcHIxRo0Zh8uTJuHr1Kho2bIjWrVsjNja2wPoRERHo168fBgwYgNu3b2PXrl24fPkyBg4cKNV5maghIiIiIiIiIvrK0qVLMWDAAAwcOBCVK1fG8uXLYWZmhjVr1hRY/8KFC7C0tISvry+srKzQoEEDDBkyBJGRkVKdl4kaIiIiIiIiIpKKUCgolltmZibevXsntmVmZua7vo8fPyIqKgotW7YUK2/ZsiXOnTtX4HNSr149PH/+HIcOHYJQKMSrV6+we/dutG3bVqrnlokaIiIiIiIiIioR5s2bB21tbbFt3rx5+eolJiYiOzsbxsbGYuXGxsaIj48vsO169eph69at6N69O9TU1GBiYgIdHR388ccfUsXIRA0RERERERERlQiTJk1CSkqK2DZp0qRC6wsEArHHQqEwX1me6Oho+Pr6Ytq0aYiKisKRI0fw+PFjeHt7SxWjilS1iYiIiIiIiIiKKXV1dairq3+3noGBAZSVlfP1nklISMjXyybPvHnzUL9+fYwbNw4A4OzsjNKlS6Nhw4aYPXs2TE1NJYqRPWqIiIiIiIiISDo/ep1tOa/Praamhho1aiA0NFSsPDQ0FPXq1SvwmPT0dCgpiadZlJWVAeT2xJGU1ImaI0eOICIiQvR41apVqFatGnr16oW3b99K2xwRERERERERkcIZPXo0/vrrLwQEBCAmJgZ+fn6IjY0VDWWaNGkS+vXrJ6rfvn17hISEYM2aNXj06BHOnj0LX19f1KpVC+XKlZP4vFInasaNG4d3794BAG7evIkxY8agTZs2ePToEUaPHi1tc0RERERERERECqd79+5Yvnw5Zs6ciWrVquH06dM4dOgQLCwsAABxcXGIjY0V1ff09MTSpUuxcuVKODo6olu3brCzs0NISIhU5xUIpel/A6BMmTK4desWLC0t4e/vj1u3bmH37t24cuUK2rRpU+jsx0T0c2ih1O1Hh0BERET/p2Jh9qNDICIZOPx46Y8OQWqVds3+0SEUyf1uU350CN8ldY8aNTU1pKenAwCOHz8uWlNcT09P1NOGiIiIiIiIiIikJ/WqTw0aNMDo0aNRv359XLp0CcHBwQCAe/fuoUKFCjIPkIiIiIiIiIiopJC6R83KlSuhoqKC3bt3Y82aNShfvjwA4PDhw2jVqpXMAyQiIiIiIiIiKimk7lFjbm6OAwcO5CtftmyZTAIiIiIiIiIiIsUm3Wy3JA2pEzVfzmhcEHNz8yIHQ0RERERERERUkkmdqLG0tIRAICh0f3Z29r8KiIiIiIiIiIiopJI6UXP16lWxx58+fcLVq1exdOlSzJkzR2aBEREREREREZFiEgoL78BB/47UiZqqVavmK6tZsybKlSuHRYsWoUuXLjIJjIiIiIiIiIiopJE6UVMYW1tbXL58WVbNERERERHRd2S/iP/RIRARkYxJnah59+6d2GOhUIi4uDj4+/ujUqVKMguMiIiIiIiIiKikkTpRo6Ojk28yYaFQCDMzM+zYsUNmgRERERERERGRguIcNXIjdaImLCxM7LGSkhIMDQ1RsWJFqKjIbCQVEREREREREVGJI3VmRSAQoF69evmSMllZWTh9+jQaNWoks+CIiIiIiIiIiEoSJWkPcHV1xZs3b/KVp6SkwNXVVSZBERERERERERGVRFL3qBEKhfnmqAGApKQklC5dWiZBEREREREREZHiEgp/dAQ/L4kTNV26dAGQO/TJ09MT6urqon3Z2dm4ceMG6tWrJ/sIiYiIiIiIiIhKCIkTNdra2gBye9SULVsWmpqaon1qamqoU6cOBg0aJPsIiYiIiIiIiIhKCIkTNYGBgQAAS0tLjB07lsOciIiIiIiIiEoqDn2SG6nnqJk+fbo84iAiIiIiIiIiKvGkTtQAwO7du7Fz507Exsbi48ePYvuuXLkik8CIiIiIiIiIiEoaqZfnXrFiBfr37w8jIyNcvXoVtWrVgr6+Ph49eoTWrVvLI0YiIiIiIiIiohJB6kTN6tWrsX79eqxcuRJqamoYP348QkND4evri5SUFHnESEREREREREQKRCgUFMutOJA6URMbGytahltTUxPv378HAPTt2xfbt2+XbXRERERERERERCWI1IkaExMTJCUlAQAsLCxw4cIFAMDjx48hFHLaZyIiIiIiIiKiopI6UdO0aVPs378fADBgwAD4+fmhRYsW6N69Ozp37izzAImIiIiIiIhIwQiL6VYMSL3q0/r165GTkwMA8Pb2hp6eHiIiItC+fXt4e3vLPEAiIiIiIiIiopJC6kTN8+fPYWZmJnrs7u4Od3d3CIVCPHv2DObm5jINkIiIiIiIiIiopJB66JOVlRVev36dr/zNmzewsrKSSVBERERERERERCWR1D1qhEIhBIL8S1qlpqZCQ0NDJkERERERERERkeIqLktdF0cSJ2pGjx4NABAIBJg6dSpKlSol2pednY2LFy+iWrVqMg+QiIiIiIiIiKikkDhRc/XqVQC5PWpu3rwJNTU10T41NTVUrVoVY8eOlX2EREREREREREQlhMSJmrCwMABA//798fvvv0NLS0tuQRERERERERGRAismS10XR1LPURMYGCj2+OnTp0hLS4O9vT2UlKSem5iIiIiIiIiIiP5P4szKxo0bsXz5crGywYMHw9raGk5OTnB0dMSzZ89kHR8RERERERERUYkhcaJm7dq10NbWFj0+cuQIAgMDsWnTJly+fBk6OjqYMWOGXIIkIiIiIiIiIioJJB76dO/ePdSsWVP0+J9//kGHDh3Qu3dvAMDcuXPRv39/2UdIRERERERERAqGy3PLi8Q9ajIyMsQmED537hwaNWokemxtbY34+HjZRkdEREREREREVIJInKixsLBAVFQUACAxMRG3b99GgwYNRPvj4+PFhkYREREREREREZF0JB761K9fPwwbNgy3b9/GyZMnYW9vjxo1aoj2nzt3Do6OjnIJkoiIiIiIiIgUCJfnlhuJEzUTJkxAeno6QkJCYGJigl27dontP3v2LHr27CnzAImIiIiIiIiISgqBUChkHoyIJNZCqduPDoGIiIj+T6Ci+qNDICIZOPZx248OQWqWGxf86BCK5InHhB8dwndJPEcNERERERERERHJl8RDn4iIiIiIiIiIAHCOGjlijxoiIiIiIiIiIgXBRA0RERERERERkYKQaujT+/fvceHCBXz69Am1atWCgYGBvOIiIiIiIiIiIkUlFPzoCH5aEidqbty4gdatWyM+Ph5CoRBaWlrYvXs3mjdvLs/4iIiIiIiIiIhKDImHPk2cOBHm5uY4c+YMIiMj0bhxYwwfPlyesRUrAoEAe/fu/WYdT09PdOrU6Zt1LC0tsXz5cpnF9bPi80REREREREQ/I4kTNZGRkfjjjz9Qr149uLi4ICAgAPfv30dqaqo841MY30uyxMXFoXXr1gCAJ0+eQCAQ4Nq1a1Kf5/Llyxg8eHARoyy68PBwCAQC0aapqYkqVapg/fr1UrVT2LVLkqSShryfp6CgIOjo6MitfUnEx8dj5MiRqFixIjQ0NGBsbIwGDRpg7dq1SE9PF9WztLQU+71ZWlrC3d0dJ0+eFGsv73eTt+nq6qJRo0Y4derUf31p9A3tvFti3bXF2Ju8EXuTN+L3s3PwS6tqhdZv0LkW5h+dil2vNojq12xZNV+90tqlMGLlAOx4sR4H07diw+1lqNW6uhyvBHBu5IBVlxfgYPpWbHqwEu2GtFCIuIj+K04NK2PmPxOw4/k6hObsQr2Ov0h8bJV6djjycQfWXlkkVm7hUAHTdo3B5kerEJqzC51HtpF12AX63v28+KQ/QnN25dtm75/0n8RHJC9ODewx8++x2P5kFY593IZ6HWp+s/7Yv4bg2Mdt+bb11xaK1es8ohU23FqM/SlB2PrwD3gv6gNVdVV5XgqcGtpj1YU5OPAuCBvvLEfbQc3y1fkRcRFRfhIPfUpMTIS5ubnosb6+PkqVKoXXr1+jTJkycgmuODExMZFJO4aGhjJpp6ju3r0LLS0tZGRkYP/+/fDx8YGNjQ2aNcv/H/mP8PHjR6ipqf3w50neHj16hPr160NHRwdz586Fk5MTsrKycO/ePQQEBKBcuXLo0KGDqP7MmTMxaNAgfPz4EU+ePMGWLVvQvHlzzJo1C5MnTxZr+/jx46hSpQoSEhLw22+/oU2bNrh16xasrKz+68ukAiQ+T8KGSVvx4kE8AKClRxPM2DsBPi7j8DT6eb76To0ccOX4dQRM3oa05DS49XfFzH0TMaLOJDy89gQAoKKqggXHpiI54R1mdVuC18+TYGhmgIz3GUWO07mxA8YFDkNf62EF7jexNMLsg5Nw+K8TWNB3BarUt8OIVYOQ/PodIkIuyi0uIkWiUVodj248xbGgMEzfM07i40pplcL4jcNx9cRN6BrriO1TL6WOuMcJOL37PLyXesokTlnczzN+XQwVtc9vK7X0y2DdtcU4vfu8TGIk+lHy7uOjG09h+k6/79ZfPXoTNkzeIXqsrKKMtZHzcGbPRVFZ0571MWBODywZvB7R5++hQiVTjP3LGwCwdtyWIsXp3Kgyxv7ljX62Iwvcb2JpiDn7xuPQhjDM91yFKnVtMeIPL6QkvkPE35flFhf93IRcnltuJO5RIxAI8P79e7x79w7v3r1DSkpKvrJ3797JM1aF9uXQp7wPvNWrV4dAIECTJk3E6i5evBimpqbQ19fHsGHD8OnTJ9G+L4f0FNQ7JTk5GQKBAOHh4QA+94Q5evQoqlevDk1NTTRt2hQJCQk4fPgwKleuDC0tLfTs2VOsF0ZhjIyMYGJiAisrK/j6+sLS0hJXrlwR7T9y5AgaNGgAHR0d6Ovro127dnj48KFof0HX7u/vj40bN+Kff/4R9ebIi//Fixfo3r07dHV1oa+vj44dO+LJkyei9vJ64sybNw/lypWDra1tvucJAFJSUjB48GAYGRlBS0sLTZs2xfXr10X7r1+/DldXV5QtWxZaWlqoUaMGIiMjv/t8FCY2NhYdO3ZEmTJloKWlBXd3d7x69UoUi7KyMqKiogAAQqEQenp6+OWXz9+kbt++HaampoW2P3ToUKioqCAyMhLu7u6oXLkynJyc8Ouvv+LgwYNo3769WP2yZcvCxMQE5ubmaNSoEdavX4+pU6di2rRpuHv3rlhdfX19mJiYwNnZGevWrUN6ejqOHTtW5OeCZOvCgShcOnwVL+7H4cX9OARO2Y6M1A+oXMe2wPpr/IKwc9E+3It8iBcP4hEweTte3I9D3fafv/Fr5eWKsnplML3zQtw+dxcJsYm4ffYOHt14KtaW+7gO2PRgJQ6kbcXaq4vQ8Nc6Rb6Odt4t8Do2EWv8ghB75wUObziJo4En0W3M5wSjpHERFVeXj1xD0NQdiPj7klTHjVo7GCe3RyD6wr18++5FPsSf4zcjPPgcPmV+KuDoXP/1/fz+bSrevkoWbS4tnPEhPROndzFRQ8Xb5aPXETR9F87uvSxR/fR3GXj7KkW02dawRhnd0ji68XMP5sq1K+H2uXsI23EOr54mIur4TYQFn0OlGtZibXUb0w4b7yzH/pQgrImch4ZdahX5OtoOboaEZ0lYO3Yznt15iSOB4TgaFI6ufu2kjouI5E/iRI1QKIStrS10dXWhq6sLPT09pKamonr16tDV1YWOjg50dXXlGWuxcelS7huy48ePIy4uDiEhIaJ9YWFhePjwIcLCwrBx40YEBQUhKCjoX5/T398fK1euxLlz5/Ds2TO4u7tj+fLl2LZtGw4ePIjQ0FD88ccfErcnFApx5MgRPHv2DLVr1xaVp6WlYfTo0bh8+TJOnDgBJSUldO7cGTk5OYVe+9ixY+Hu7o5WrVohLi4OcXFxqFevHtLT0+Hq6ooyZcrg9OnTiIiIQJkyZdCqVSt8/PhRdM4TJ04gJiYGoaGhOHDgQIGxtm3bFvHx8Th06BCioqLg4uKCZs2a4c2bNwCA3r17o0KFCrh8+TKioqIwceJEqKoWrRunUChEp06d8ObNG5w6dQqhoaF4+PAhunfvDgDQ1tZGtWrVRMmoGzduiP7NS2aGh4ejcePGBbaflJSEY8eOYdiwYShdunSBdQSC78+wPnLkSAiFQvzzzz+F1ilVqhQAiCULSXEoKSmhSfd60Citjujz+T+wFUQgEKBUWU28f/N5WGrd9jURff4eRqwaiJ1xf2L9jSXoOakzlJQ+vwT0n90Tbp6uWDH0Twx09EPI8oOYuHkEnBs5FCn2ynVsERV6Q6ws8uh12Na0hrKKssRxEZU0bp5NUM7GGJtn7CpyGz/ifv5aa69mCA8+hw/pmUU6J9HPolX/Jrh64hYSYhNFZbfP3UUlFyvY1bQBAJhYGaFW62q4dPiqqI7nTHe4eTTGihEBGFRtPEJ+P4wJQUPh1NC+SHE41K6EqNCbYmVRoTdgW8NKdB9LEhcR/TckHvoUFhYmzzh+KnnDcvJ6LnxJV1cXK1euhLKyMuzt7dG2bVucOHECgwYN+lfnnD17NurXrw8AGDBgACZNmoSHDx/C2jo3A961a1eEhYVhwoQJ32ynQoUKAIDMzEzk5ORg5syZaNSokWj/r7/+KlZ/w4YNMDIyQnR0NBwdHQu9dk1NTWRmZoqVbdmyBUpKSvjrr79EiYfAwEDo6OggPDwcLVu2BACULl0af/31F9TU1AqMOSwsDDdv3kRCQgLU1dUB5PZa2rt3L3bv3o3BgwcjNjYW48aNg7197otbpUqVvvk8fMvx48dx48YNPH78GGZmZgCAzZs3o0qVKrh8+TJ++eUXNGnSBOHh4RgzZgzCw8PRrFkzPHr0CBEREWjTpg3Cw8Ph51dw99kHDx5AKBTCzs5OrNzAwAAfPnwAAAwbNgwLFiz4Zpx6enowMjIS66H0pbS0NEyaNAnKysqFJo0yMzORmSn+JjtHmA0lQcFvzEk2LB3NseLcHKhpqCIj9QNmdFmE2Jj8w54K0nVMe2iUVsepnedEZSbWxqjW1BEntkVgctt5KF/JBCNWDoSyijK2zNoNjVLq+NWvHcY1m4GY/3+DH/84AY4N7NF2cAvcOB0t9TXomegg8lWyWNnbV8lQUVWBtkFZvIlP/m5cRCVN+YomGDCvN/waTUNOdk6R2vhR9/OX7H6pCCsncywZuKZI10D0s9Az0cEvblUxr99KsfLwneehbVAWS8OnQyDIHQq8f20oghftB/D/+3hkG4xvOQcxF+8D+P99XN8ObQc1w80zd6SORddEB28TxBOub1+liN3H34uLiP47EidqCvsgR9KpUqUKlJU/f8g1NTXFzZs3v3GEZJydnUU/Gxsbo1SpUqIkTV5ZXm+Xbzlz5gzKli2LzMxMXLp0CcOHD4eenh58fHwAAA8fPsTUqVNx4cIFJCYminrSxMbGwtHRUaqYo6Ki8ODBA5QtW1as/MOHD2LDqZycnApN0uS1k5qaCn19fbHyjIwMUTujR4/GwIEDsXnzZjRv3hzdunWDjU3utwVfzrHUp08frF279ptxx8TEwMzMTJSkAQAHBwfo6OggJiZGlKjZsGEDcnJycOrUKTRr1gzm5uY4deoUXFxccO/eve/eU1/3mrl06RJycnLQu3fvfMmTwgiFwnzt1KtXD0pKSkhPT4epqSmCgoLg5ORU4PHz5s3DjBkzxMqsUBk2qCLR+alont99Ce/q41BGpxQa/FoH44KGY0yT6d9N1rj2qI++07theqeFSH79eSiqkpIAyQnvsHzwOuTk5OD+lUfQL6eHbmM7YMus3TB3qAB1TTUsODZVrD0VNRU8uPpY9Hjfu82f21RWgqq6iljZzTMxmNx2ruix8KuBy3l/i3nF34uLqCRRUlLCpK0jscl/J17cjytyOz/qfv5SqwFN8fhmLO5eflDk6yD6GbTs1wipyek494/4cHvnRpXRc2In/DEiAHcuP0R5G2P4LOmHN/HJ2Dr3b5hXLg91TTXMPyw+GbeKmopo/jkA+OdNgOjnvPv4y7JbEXcwucMXkxh/fcOK7mOhRHER5cM5auRG4kRNnpSUFISGhormT7GyskLz5s2hpaUlj/h+Ol8PtxEIBKJkx9fyuv9/+eaosCEqX7YrEAikOs+XrKysRKsdValSBRcvXsScOXNEiZr27dvDzMwMf/75J8qVK4ecnBw4OjqKDVWSVE5ODmrUqIGtW7fm2/flZMGFDf/5sh1TU1PRUKMv5V2Lv78/evXqhYMHD+Lw4cOYPn06duzYgc6dO4vNASTJ33FByY+vyxs1aoT379/jypUrOHPmDGbNmgUzMzPMnTsX1apVg5GRESpXrlxg+xUrVoRAIMCdO+LfluQl3jQ1Nb8bI5A7hOr169f5JgkODg4WJZa+Tm59bdKkSRg9erRYWWdtT4nOT0WX9SkLLx/mTiZ8L+oR7GraoPPINvjdu/BV2Bq718Pov3wwy30prp4QT/6+iUtG1qcssf8DYmOeQ99UFyqqKlBSyv27ndJuHhJfvBE79ss5MLyrf54M1b52RQyc3wdjXf1FZZkZn/8feBOfDD0T8eGwOkbayPqUhXdJ7yWKK+tTVqHXS/Sz0SyrAbtfKqJidSsM/2MAAECgJICSkhKOfNyBiW6zcS3s1nfb+VH3cx51TTW4dq+PjdODvxsr0c/OzaMJTmw9g6xP2WLlHv7dcGJrBI4EhgMAntx6Bo3S6hi5eiC2zdv7+T7uuBBJL9+KHfvlfezzy+dEjn2tihgwpwfGtZgtKvvyPn4bn5xvcnJdI63/38epEsX1dcKWiORHqkTNli1bMHz48HyTBmtra2Pt2rWiOTpKurzeH9nZ2d+p+W15yYq4uDhUr567XG1Rlvz+N5SVlZGRkbsCS1JSEmJiYrBu3To0bNgQABARESFWv7BrV1NTy1fm4uKC4OBg0QTAReXi4oL4+HioqKjA0tKy0Hq2trawtbWFn58fevbsicDAQHTu3BkVK1aU6nwODg6IjY3Fs2fPRL1qoqOjkZKSIkq+5M1Ts3LlSggEAjg4OKBcuXK4evUqDhw48M3eNPr6+mjRogVWrlyJESNGfDdRVZjff/8dSkpK+ZZFNzMzE/Um+h51dXXRcLI8HPb03xMIBFBTK3xOJdce9TFmw1DM7bUclw5dybf/9rk7cO3ZAAKBQPQmq4JtOSS9fIOsT1l4Gv0cHz98hJG5wTeHReQljwDAoIIesrOyxcq+FHPhHuq0E1/CtEbLqrgX+QjZWdkSxUVUkqS/y8AgJ/HEePuhbqjm6ohZ3ZYg/nGCRO38qPs5T2P3elBVV8HxLaclipfoZ+XcqDLKVzLBkaDwfPs0SqkjRyj+BWp2ds7/F90Ansa8EN3H3xrm9PLhK9HPBuX1kJ2VI1b2peiL91GnrYtYmUtzZ9yLeiy6j78XF/M0RP8diWdsvHLlCvr3749OnTrh6tWryMjIQHp6OiIjI9G+fXv07dtXbJWdn1FKSgquXbsmtsXGxuarZ2RkBE1NTRw5cgSvXr1CSkpKkc6nqamJOnXqYP78+YiOjsbp06cxZcqUf3sZ35SQkID4+Hg8ffoUu3btwubNm9GxY0cAEK3MtH79ejx48AAnT57M19uisGu3tLTEjRs3cPfuXSQmJuLTp0/o3bs3DAwM0LFjR5w5cwaPHz/GqVOnMHLkSDx/Ltl8HADQvHlz1K1bF506dcLRo0fx5MkTnDt3DlOmTEFkZCQyMjIwfPhwhIeH4+nTpzh79iwuX75caI+WPNnZ2fl+39HR0WjevDmcnZ3Ru3dvXLlyBZcuXUK/fv3QuHFj1Kz5+Y1skyZNsGXLFjRu3BgCgQC6urpwcHBAcHBwvpXAvrZ69WpkZWWhZs2aCA4ORkxMDO7evYstW7bgzp07YsPnAOD9+/eIj4/Hs2fPcPr0aQwePBizZ8/GnDlzpE5E0Y/lNacnHBvYw9jCEJaO5ug/uyecm1TBiW1ncvfP7YXxQcNF9V171Mf4jcOxbuxGxFy4D11jHega66CUVilRnf1rjkFLvyyG/t4f5SuZolYbF/Sc1Bn7Vh8FAGSkfsCuJfvhvdQDLfo1hqm1MWyqWaLDUDe06Fe0Ya8H1obCyMIAQ5Z4wNy+PNz6u6KVV1PsWrJP4riIijuN0hqwqWoJm6qWAHIn5rSpaglDMwMA4vezUCjEk9vPxLbkhBR8+vAJT24/E03Kq6KqImpTVU0FBuX1YVPVEuVscueA+1H3c55WXk1xdu9lsQnNiYozjdLqsK5qAeuqFgByl7m2rmoBQ7PcXsles7tjXIBPvuNa9W+CmIv38eR2/ve0Fw5eQbvBzdHEvS5MLA3h0swRHtO74fyBKOTkCJGR+gG7lx2E96K+aNG3IUytjWBTzQLtvVugRd+GRbqOg+tPwNjcAEMW9oGZfTm4eTRGq/5NsHvZ54U6vhcXUT5CQfHcigGJe9T88ccf6NSpU74VilxcXLBp0yakp6fj999/R0BAQMEN/ATCw8NFPVvyeHh45HtOVFRUsGLFCsycORPTpk1Dw4YNCxyWI4mAgAB4eXmhZs2asLOzw8KFC0WT7MpD3gS2KioqMDMzw5AhQ+Dv7w8gdyjWjh074OvrC0dHR9jZ2WHFihViSYfCrn3QoEEIDw9HzZo1kZqairCwMDRp0gSnT5/GhAkT0KVLF7x//x7ly5dHs2bNpOphIxAIcOjQIUyePBleXl54/fo1TExM0KhRIxgbG0NZWRlJSUno168fXr16BQMDA3Tp0iXf3Ctfy1vV7EsWFhZ48uQJ9u7dixEjRqBRo0ZQUlJCq1at8q2q5erqiqVLl4o9P40bN8a1a9e+Oz+NjY0Nrl69irlz52LSpEl4/vw51NXV4eDggLFjx2Lo0KFi9adNm4Zp06ZBTU0NJiYmqFOnDk6cOAFXV1cJnkFSJDrGOpiwaQT0THWRlpKOxzee4rfWc3DleO4EgPomujAyNxDVbzu4BVRUVeC7ahB8V32elPxYUDgWea0CALx+noSJbrPhs9QD668vRuKLN/h7xSEEL/i8IljQ1B1ITkhBj4mdYWptjNTkNDy48hjb531etU4a8U8SMKXtPHgv9UCHoW5IevkWq0cGICLkoqiOJHERFWe2Na2xJOzza43PUk8An+/Pr+9nSeiX08Xaq4tEj93HdoD72A64Hn4bY5v6A/gx9zMAlK9kCqeGlTGh5awinYdIEdnWsMbi45/nfPJe3BcAcGzTKSweuA56JjowMhMfSl5KSxMNOtfCmtGbCmxz69y/IRQK4eHfDQbl9ZDy+h0uHLyCwGk7RXWCpu9CcsI79BjfESZWRkhLTsP9q0+wo4ivkfFPXmNyh4XwXtwX7X1a4M3Lt1jttxERf39edlySuIjovyEQSjjY0NbWFqtXr0bz5s0L3H/8+HEMHToU9+5JtoQsERVPLZS6/egQiIiI6P8EKoUPjSWi4uPYx20/OgSpWfy16PuVFNDTgeO+X+kHk3jo08uXL2Fra1vofltbW7x48UImQRERERERERERlUQSD31KT0+HhoZGofvV1dXx4cMHmQRFRERERERERIpLwKmL5EaqVZ+OHj0KbW3tAvclJyfLIh4iIiIiIiIiohJLqkSNh4fHN/cLBMVjBmUiIiIiIiIiIkUkcaImJydHnnEQERERERERUXHBoU9yI/FkwkREREREREREJF8S96jJzs5GdHQ0nJycAABr167Fx48fRfuVlZXh4+MDJSXmfoiIiIiIiIiIikLiRE1wcDDWrVuHU6dOAQDGjRsHHR0dqKjkNpGYmAgNDQ0MGDBAPpESEREREREREf3kJO7+EhgYCG9vb7GyU6dO4fHjx3j8+DEWLVqELVu2yDxAIiIiIiIiIlIwQkHx3IoBiRM1MTExcHBwKHR/48aNcf36dZkERURERERERERUEkk89CkxMRFlypQRPX706BH09fVFj1VVVZGWlibb6IiIiIiIiIiIShCJe9QYGxvj7t27oseGhoZiEwfHxMTAxMREttERERERERERkeIRFtOtGJA4UdOsWTPMmTOnwH1CoRDz5s1Ds2bNZBYYEREREREREVFJI/HQp8mTJ8PFxQW1a9fG2LFjYWtrC4FAgDt37mDx4sW4e/cuNm3aJM9YiYiIiIiIiIh+ahInamxsbBAaGgpPT090794dAkHubMlCoRD29vY4duwYKlasKLdAiYiIiIiIiIh+dhInagCgVq1aiI6OxrVr13Dv3j0AQKVKlVC9enW5BEdERERERERECqiYzPdSHEmVqMlTrVo1VKtWTcahEBERERERERGVbBJPJkxERERERERERPJVpB41RERERERERFSCceiT3LBHDRERERERERGRgmCihoiIiIiIiIhIQcg0URMbG4vs7GxZNklEREREREREVGLINFFjaWkJBwcHhISEyLJZIiIiIiIiIlIkQkHx3IoBmU4mHBYWhsePH2P37t3o0qWLLJsmIiIiIiIiIvrpyTRR07hxYzRu3Bienp6ybJaIiIiIiIiIqESQeuiTv78/nj59Ko9YiIiIiIiIiKgYEAiL51YcSJ2o2b9/P2xsbNCsWTNs27YNHz58kEdcREREREREREQljtSJmqioKFy5cgXOzs7w8/ODqakpfHx8cPnyZXnER0RERERERERUYhRp1SdnZ2csW7YML168QEBAAF68eIH69evDyckJv//+O1JSUmQdJxERERERERHRT+9fLc+dk5ODjx8/IjMzE0KhEHp6elizZg3MzMwQHBwsqxiJiIiIiIiISJEIi+lWDBQpURMVFYXhw4fD1NQUfn5+qF69OmJiYnDq1CncuXMH06dPh6+vr6xjJSIiIiIiIiL6qUmdqHF2dkadOnXw+PFjbNiwAc+ePcP8+fNRsWJFUZ1+/frh9evXMg2UiIiIiIiIiOhnpyLtAd26dYOXlxfKly9faB1DQ0Pk5OT8q8CIiIiIiIiIiEoaqXrUfPr0CYGBgZwsmIiIiIiIiIhIDqRK1KiqqiIzMxMCgUBe8RARERERERERlVhSz1EzYsQILFiwAFlZWfKIh4iIiIiIiIioxJJ6jpqLFy/ixIkTOHbsGJycnFC6dGmx/SEhITILjoiIiIiIiIgUj6CYLHVdHEmdqNHR0cGvv/4qj1iIiIiIiIiIiEo0qRM1gYGB8oiDiIiIiIiIiKjEkzpRk+f169e4e/cuBAIBbG1tYWhoKMu4iIiIiIiIiIhKHKkTNWlpaRgxYgQ2bdqEnJwcAICysjL69euHP/74A6VKlZJ5kERERCRjAqnXEyAiBST8xeFHh0BEJZWQq0HLi9Tv0kaPHo1Tp05h//79SE5ORnJyMv755x+cOnUKY8aMkUeMREREREREREQlgtQ9avbs2YPdu3ejSZMmorI2bdpAU1MT7u7uWLNmjSzjIyIiIiIiIiIqMaRO1KSnp8PY2DhfuZGREdLT02USFBEREREREREpMC7PLTdSD32qW7cupk+fjg8fPojKMjIyMGPGDNStW1emwRERERERERERlSRS96j5/fff0apVK1SoUAFVq1aFQCDAtWvXoKGhgaNHj8ojRiIiIiIiIiKiEkHqRI2joyPu37+PLVu24M6dOxAKhejRowd69+4NTU1NecRIRERERERERFQiSJ2oAQBNTU0MGjRI1rEQERERERERUXHAOWrkRupEzb59+wosFwgE0NDQQMWKFWFlZfWvAyMiIiIiIiIiKmmkTtR06tQJAoEAQqF4+iyvTCAQoEGDBti7dy90dXVlFigRERERERER0c9O6lWfQkND8csvvyA0NBQpKSlISUlBaGgoatWqhQMHDuD06dNISkrC2LFj5REvEREREREREf1gAmHx3IoDqXvUjBw5EuvXr0e9evVEZc2aNYOGhgYGDx6M27dvY/ny5fDy8pJpoEREREREREREPzupe9Q8fPgQWlpa+cq1tLTw6NEjAEClSpWQmJj476MjIiIiIiIiIipBpE7U1KhRA+PGjcPr169FZa9fv8b48ePxyy+/AADu37+PChUqyC5KIiIiIiIiIqISQOqhTxs2bEDHjh1RoUIFmJmZQSAQIDY2FtbW1vjnn38AAKmpqZg6darMgyUiIiIiIiIiBVBM5nspjqRO1NjZ2SEmJgZHjx7FvXv3IBQKYW9vjxYtWkBJKbeDTqdOnWQdJxERERERERHRT0/qRA2QuxR3q1at0KRJE6irq0MgEMg6LiIiIiIiIiKiEkfqOWpycnIwa9YslC9fHmXKlMHjx48BAFOnTsWGDRtkHiARERERERERKRhhMd2KAakTNbNnz0ZQUBAWLlwINTU1UbmTkxP++usvmQZHRERERERERFSSSJ2o2bRpE9avX4/evXtDWVlZVO7s7Iw7d+7INDgiIiIiIiIiopJE6kTNixcvULFixXzlOTk5+PTpk0yCIiIiIiIiIiIqiaRO1FSpUgVnzpzJV75r1y5Ur15dJkERERERERERkeISCIvnVhxIverT9OnT0bdvX7x48QI5OTkICQnB3bt3sWnTJhw4cEAeMRIRERERERERlQhS96hp3749goODcejQIQgEAkybNg0xMTHYv38/WrRoIY8YiYiIiIiIiIhKBKl71ACAm5sb3NzcZB0LERERERERERUHQsGPjuCnJXWPGmtrayQlJeUrT05OhrW1tUyCIiIiIiIiIiIqiaRO1Dx58gTZ2dn5yjMzM/HixQuZBEVEREREREREVBJJPPRp3759op+PHj0KbW1t0ePs7GycOHEClpaWMg2OiIiIiIiIiKgkkThR06lTJwCAQCCAh4eH2D5VVVVYWlpiyZIlMg2OiIiIiIiIiBRQMVnqujiSOFGTk5MDALCyssLly5dhYGAgt6CIiIiIiIiIiEoiqeeoefz4MZM0RERERERERPTTW716NaysrKChoYEaNWrgzJkz36yfmZmJyZMnw8LCAurq6rCxsUFAQIBU5yzS8txpaWk4deoUYmNj8fHjR7F9vr6+RWmSiIiIiIiIiIoJQQkY+hQcHIxRo0Zh9erVqF+/PtatW4fWrVsjOjoa5ubmBR7j7u6OV69eYcOGDahYsSISEhKQlZUl1XkFQqFQqqf36tWraNOmDdLT05GWlgY9PT0kJiaiVKlSMDIywqNHj6QKgIiKlxZK3X50CEQkCwKpO9USkSKq4/SjIyAiGQg9O+VHhyC1SvOX/egQiuSW31BkZmaKlamrq0NdXT1f3dq1a8PFxQVr1qwRlVWuXBmdOnXCvHnz8tU/cuQIevTogUePHkFPT6/IMUr9Ls3Pzw/t27fHmzdvoKmpiQsXLuDp06eoUaMGFi9eXORAiIiIiIiIiIjkad68edDW1hbbCkq6fPz4EVFRUWjZsqVYecuWLXHu3LkC2963bx9q1qyJhQsXonz58rC1tcXYsWORkZEhVYxSD326du0a1q1bB2VlZSgrKyMzMxPW1tZYuHAhPDw80KVLF2mbJCIiIiIiIiKSu0mTJmH06NFiZQX1pklMTER2djaMjY3Fyo2NjREfH19g248ePUJERAQ0NDTw999/IzExEUOHDsWbN2+kmqdG6kSNqqoqBAKBKMDY2FhUrlwZ2traiI2NlbY5IiIiIiIiIipuiukcNYUNcypMXv4jj1AozFeWJycnBwKBAFu3boW2tjYAYOnSpejatStWrVoFTU1Nic4pdaKmevXqiIyMhK2tLVxdXTFt2jQkJiZi8+bNcHLiGFkiIiIiIiIiKt4MDAygrKycr/dMQkJCvl42eUxNTVG+fHlRkgbIndNGKBTi+fPnqFSpkkTnlnqOmrlz58LU1BQAMGvWLOjr68PHxwcJCQlYv369tM0RERERERERESkUNTU11KhRA6GhoWLloaGhqFevXoHH1K9fHy9fvkRqaqqo7N69e1BSUkKFChUkPrfUPWpq1qwp+tnQ0BCHDh2StgkiIiIiIiIiKsZKwvLco0ePRt++fVGzZk3UrVsX69evR2xsLLy9vQHkznfz4sULbNq0CQDQq1cvzJo1C/3798eMGTOQmJiIcePGwcvLS+JhT4AUPWoyMjKwb98+vH//Pt++d+/eYd++ffmWuPqRBAIB9u7d+806np6e6NSp0zfrWFpaYvny5TKL62f1szxPX/7dPHnyBAKBANeuXfuhMREREREREdF/r3v37li+fDlmzpyJatWq4fTp0zh06BAsLCwAAHFxcWJz9ZYpUwahoaFITk5GzZo10bt3b7Rv3x4rVqyQ6rwS96hZv3499u3bhw4dOuTbp6WlhRUrVuDZs2cYNmyYVAEUlaenJ5KTkwtNxsTFxUFXVxdA7gduKysrXL16FdWqVZPqPJcvX0bp0qX/ZbTSCw8Ph6urq+ixhoYGrK2tMXLkSAwePFjidgq79u89f9KS9/MUFBSE/v37w97eHjExMWL7du7cie7du8PCwgJPnjyR2TnNzMwQFxcHAwMDmbUpjXfv3mHRokUICQnBo0ePUKpUKVhbW6Nbt24YNGiQ6O+7SZMmOHXqFIDc7nkGBgZwcXFB//79863C9uWkV2XKlIGdnR1+++03rtamgNr7tES3sR2hb6qDJ7efY41fIG5F3Cm0vnMjBwxZ4gHLKhWQ9PItdi76BwfWiXfTbNClNjxn9oCpjTHiHr5C4JTtOLv3klyvQ1HjIpK3vtO6ot/0bmJlb+KT0b38kEKPadqrAdzHdkD5SiZIS0lH5NHrWDduM96/ye0+vfjENFRtUiXfcRcPXcGU9gtkewFfcG5UGUMW9/t8Hy/ehwPrjov2/6i4iP4LPfrWQ4PG9jCz0EdmZhaibz7HX2tO4Hnsm0KP0dMvgyHDm6OSvSnKV9DD3t2XsOb30Hz1OrvXQvvONWBkrIWU5AycCY/BhrUn8eljttyux7maOYaMaAFLK0MkJb7Hzm3ncWDvFdF+ZWUl9OxXHy1aO8PAoCyexSbhrzUnEHnxkdxiIlJ0Q4cOxdChQwvcFxQUlK/M3t4+33ApaUnco2br1q0YNWpUoftHjRqFjRs3/qtgZMnExESqmZwLY2hoiFKlSskgoqK5e/cu4uLiEB0djSFDhsDHxwcnTpz4YfF87ePHjwD+m+epdOnSSEhIwPnz58XKAwICYG5uLvPzKSsrw8TEBCoqUo8Q/NfevHmDOnXqIDAwEGPHjsXFixdx9uxZTJ8+HdeuXcO2bdvE6g8aNAhxcXF48OAB9uzZAwcHB/To0aPApF5gYCDi4uJw+fJlVK1aFd26dcv3nNKP1di9HnyW9cf2uXvg4zIetyJiMPfQZBiaFZw0NLE0wuyDk3ArIgY+LuOxfV4Ihv7uhQZdaovqVK5jiyk7/HB8yyl4VxuL41tOYUqwH+xrVSxynM6NHbD50apC9/+ouIgUxeNbz+BebrBoG1x1bKF1q9S3w/igYTgScBKDnMZgVvdlsK1pg9F/fk7szOi6RKy9gU5jkJ2VjdO7LxQ5RufGDtj88I9C95tYGmL2gYm4FXEHPjUmYvv8vRi6vD8adKkl17iIFIVzNQvsC4mE7+BATBy1FcrKSpi/rDc0NFQLPUZVVRkpyenYtjECjx68KrBO05aOGOjdFJsDTmNAr7VYOv8AmjRzwADvpkWPtboFNu8eXuh+E1MdzF7cA7duxMKn/5/Yvvksho5yQ4Mm9qI6/Qc3QduO1bFq2REM6LMWB/ZGwX9eN9hUKnjiVCKSD4kTNffv30fVqlUL3e/s7Iz79+/LJChZ+HIIi5WVFYDcFasEAgGaNGkiVnfx4sUwNTWFvr4+hg0bhk+fPon2fTmkp6ChMMnJyRAIBAgPDweQ2xNGIBDg6NGjqF69OjQ1NdG0aVMkJCTg8OHDqFy5MrS0tNCzZ0+kp6d/9zqMjIxgYmICKysr+Pr6wtLSEleufM56HzlyBA0aNICOjg709fXRrl07PHz4ULS/oGv39/fHxo0b8c8//0AgEIjF/+LFC3Tv3h26urrQ19dHx44dxXqp5A0XmzdvHsqVKwdbW9t8zxMApKSkYPDgwTAyMoKWlhaaNm2K69evi/Zfv34drq6uKFu2LLS0tFCjRg1ERkZ+87lQUVFBr169xNaff/78OcLDw9GrV6989ffv348aNWqIeiPNmDEDWVlZov33799Ho0aNoKGhAQcHh3xZz69/30FBQdDR0RGrs3fvXrFeKv7+/qhWrZooeVSmTBn4+PggOzsbCxcuhImJCYyMjDBnzpxvXutvv/2G2NhYXLx4Ef3794ezszPs7e3Rrl07bNu2LV9Gt1SpUjAxMYGZmRnq1KmDBQsWYN26dfjzzz9x/Phxsbo6OjowMTGBvb091q5dCw0NDezbt++b8dB/61e/djgScBKHN5xE7J0XWOMXhNfPEtHep2WB9dt5t8Dr2ESs8QtC7J0XOLzhJI4GnkS3MZ97QHYZ2RZRoTewY/5ePLv7Ejvm78XVE7fQZWRbsbbcx3XApgcrcSBtK9ZeXYSGv9Yp8nXIMi6i4ignKxtvX6WItpTE/MPH81SuXQmvniRg78ojiH/yGrfP3sXB9cdhW8NaVOf92zSx9lyaO+NDeiZO7xJPiLiP7YBN91fgQOpmrL2yEA1/rf316STWbkgLvI5NwprRG7+4j8PQbXR7qeMiKo5+G7Mdxw7dwNPHiXj0IAGL5+6HsYk2KtmZFnrMq/gUrP79GI4fuYm01IKnhnBwLI/bN58hLPQ2XsWnIOrSI4SF3oatvXi77r3qYtPOYThwcgLWBg1Cwy+SKtJq18kFr1+9w5rfQxH7NAmH91/D0YPX0K3n59f65q2csH3TWVw6/xDxL5NxYO8VRF58hK49i/5+gH5iwmK6FQMSJ2qysrLw+vXrQve/fv1a7EOwIrl0KbcL/fHjxxEXF4eQkBDRvrCwMDx8+BBhYWHYuHEjgoKCCuy+JC1/f3+sXLkS586dw7Nnz+Du7o7ly5dj27ZtOHjwIEJDQ/HHH4V/g/U1oVCII0eO4NmzZ6hd+/MbrrS0NIwePRqXL1/GiRMnoKSkhM6dOyMnJ6fQax87dizc3d3RqlUrxMXFIS4uDvXq1UN6ejpcXV1RpkwZnD59GhEREShTpgxatWol6jkDACdOnEBMTAxCQ0Nx4MCBAmNt27Yt4uPjcejQIURFRcHFxQXNmjXDmze53UR79+6NChUq4PLly4iKisLEiROhqlr4NxN5BgwYgODgYFGSKygoCK1atcq3PNrRo0fRp08f+Pr6Ijo6GuvWrUNQUJAoQZKTk4MuXbpAWVkZFy5cwNq1azFhwgSJfx/f8vDhQxw+fBhHjhzB9u3bERAQgLZt2+L58+c4deoUFixYgClTpuDChYLfwObk5CA4OBh9+vRB+fLlC6zzZXKoMB4eHtDV1RX7e/+aqqoqVFRUxJKT9GOpqKrAtoY1oo5dFyuPCr2BKnXtCjymch1bRIXeECuLPHodtjWtoayiDABwqGuLqFDxNiOPXYNDvc9t9p/dE26erlgx9E8MdPRDyPKDmLh5BJwbORTpWmQVF1FxVa6SCXY8W4NND/7Ab9tGwsTKqNC60efvwaCCPmq1rgYA0DHSRqNfa+PSoauFHtPayxXhwefwIf3zB8H+s7rDzbMJVgzbgIFOYxDy+0FM3DQczo0qF+kacu/jr+9R8ftYkriIfhalS+f22H//LuNftXPr+jNUsjOFXeVyAACTcjqoVbciLp57IKrTf3ATuLWtihWLD2Ngn3UI2XkRE6d1gnO1ovUkr+xYAVGXxIcwRV58BFt7Uygr534sVFVVxsevhl59zMyCo7NZkc5JREUj8ZiOKlWq4Pjx46hRo0aB+0NDQ1GlSv7xyYrA0NAQAKCvrw8TExOxfbq6uli5ciWUlZVhb2+Ptm3b4sSJExg0aNC/Oufs2bNRv359ALnJhUmTJuHhw4ewts79Zqxr164ICwv7bnIgbwmvzMxM5OTkYObMmWjUqJFo/6+//ipWf8OGDTAyMkJ0dDQcHR0LvXZNTU1kZmaKlW3ZsgVKSkr466+/RImAwMBA6OjoIDw8HC1b5n6bX7p0afz1119QU1MrMOawsDDcvHkTCQkJouFnixcvxt69e7F7924MHjwYsbGxGDduHOztc78VkHQ9+WrVqsHGxga7d+9G3759ERQUhKVLl+LRI/EXnTlz5mDixInw8PAAAFhbW2PWrFkYP348pk+fjuPHjyMmJgZPnjwRPcdz585F69atJYrjW3JychAQEICyZcvCwcEBrq6uuHv3Lg4dOgQlJSXY2dlhwYIFCA8PR506+b+deP36NZKTk2FnJ/5BtUaNGrh79y4AoH379ti+ffs341BSUoKtrW2h8/ZkZmZi0aJFePfuHZo1a1Zona8nCc8RZkNJUPCbc/r3tA3KQllFGW9fJYuVv32VDF0TnQKP0TPRQWQB9VVUVaBtUBZv4nOPffsq5as6KaI2NUqp41e/dhjXbAZiLtwDAMQ/ToBjA3u0HdwCN05HS30tsoiLqLi6c+kBFnquwvN7cdA11kHv3zrj94hZGOg0RjTnzJeiz9/D/L5/YPL2UVDTUIWKqgrO7buMlb6BBbZv94sNrJzMsWTQWlGZ6D5uPhMxF3J7Occ/ToBjfXu0HdwcN07HFNjWt+iZaCOygHv0y/v4e3ER/Uy8fVvg5vVYPHlc+BfYkgg/EQ1t3VJYtsYDAgGgoqKMfSGRCN5yDgCgoaGKX3vUxrgRWxBz+wUAIP5lMhydzdC2owtuXIv9VvMF0tMrjci3aWJlb9+kQUVFGdo6pfAmKRWRFx/h1x61cfPaU7x88RbVa1qhbkNbKCl9/0tCIpIdiRM1Xl5eGD16NKpUqYJ27dqJ7du/fz9mz56NpUuXyjxAeatSpQqUlT9/6DQ1NcXNmzf/dbvOzs6in42NjUUTwX5Zltfb5VvOnDmDsmXLIjMzE5cuXcLw4cOhp6cHHx8fALm9N6ZOnYoLFy4gMTFR1JMmNjYWjo6OUsUcFRWFBw8eoGzZsmLlHz58EBtO5eTkVGiSJq+d1NRU6Ovri5VnZGSI2hk9ejQGDhyIzZs3o3nz5ujWrRtsbGwA5E5ym6dPnz5Yu1b8zZ6XlxcCAwNhbm6O1NRUtGnTBitXrswXw+XLl8WGGGVnZ+PDhw9IT09HTEwMzM3Nxdayr1u37jefH0lZWlqKPYfGxsZQVlaGkpKSWFlCQsI32/m618zff/+Njx8/YsKECcjIkOxbHKFQmK+dnj17QllZGRkZGdDW1sbixYsLTVDNmzcPM2bMECuzQmXYQDGTsj8T4VfdMgUCAYRfF4rVF9+X93sXK85X53OZuUMFqGuqYcGxqWJ1VNRU8ODqY9Hjfe82i35WUlaCqrqKWNnNMzGY3HauzOIiKq4uH7km+vnJrWeIOX8PG++vQMt+jbFn+cF89c0rl8ew5Z7YMmsPIo9dh76pLgYt6I2RawZi6aB1+eq38mqKxzdjcffy59dn0X18dIpY3Xz3ccrnOQVF9/EXZTcjYjC57XzR44L+P8otz3+fFhQX0c9ixOhWsLIxgp/Pv5+X07m6BXr1a4A/lhxGzO0XKF9BD0NHtsSbpFRsDYqAuaUB1NVVsWB5b7HjVFSV8eBevOjxvtDxop+VlAVQVVURK7t5PRaTx+4QPc7/uixevvr3Y/Cb0BYbtvkAQuDly7c4dvA6WrYtfAoMIpI9iRM1gwcPxunTp9GhQwfY29vDzs4OAoEAMTExuHfvHtzd3aVajUhRfD3cRiAQiJIdX8v7oP3lf3CFDRn5sl2BQCDVeb5kZWUlmhelSpUquHjxIubMmSNK1LRv3x5mZmb4888/Ua5cOeTk5MDR0VFsqJKkcnJyUKNGDWzdujXfvryeOQC+u7pTTk4OTE1NRfPefCnvWvz9/dGrVy8cPHgQhw8fxvTp07Fjxw507txZbA4gLS2tfG307t0b48ePh7+/P/r161fgZL85OTmYMWNGgasZaWhoFPjm8nvDiZSUlPIdV9Dvv6DftTS/f0NDQ+jo6ODOHfEVfvImTC5btiySk5O/GSuQm5i6f/8+fvnlF7HyZcuWoXnz5tDS0oKRUeHd8AFg0qRJGD16tFhZZ23P756bii4l8T2ys7Kh91WPEh0jbSR/9a12njfxydAz0c1XP+tTFt4l5c6J8TY+f48cHSNtUW+WvG/KprSbh8QX4itZfMr8/HfuXX2c6Gf72hUxcH4fjHX1F5VlZnz+v0cWcRH9LD6kZ+LxrViUr2RS4P6eEzvh9rl72LVkPwDg8c1YZKR9wPLTMxE0NVis54q6phpcu9fDxuk7xdoQ3cft5xdwH38enu7t8vlDnH3tShg4rxfGNv2clBe/j1OgZ6It1paOkdb/72PxnkGFxUX0Mxjm54Y6DWwxZtgmJL4ufL4pSXkOaozjR2/i8P5rAIAnj15DQ0MVoya0xbaNEZ/v53E78p3v06fPQ5O8Pf8U/WxfpTwG+jTF2OGfv0DJ/OLef/MmDXp6n78QBQAd3dLIysrGu5TcLwFTktPhP2kXVNWUoaVVCkmJ7zHQpyni45L/9TXTT4jfq8mNVMvZbNmyBR06dMC2bdtw7949CIVC2NnZYcaMGXB3d5dXjP9aXu+P7Ox/t9RdXrIiLi4O1atXBwCxpMJ/Ia8nBAAkJSUhJiYG69atQ8OGDQEAERERYvULu3Y1NbV8ZS4uLggODhZNAFxULi4uiI+Ph4qKCiwtLQutZ2trC1tbW/j5+aFnz54IDAxE586dUbHit1d70dPTQ4cOHbBz5858vW2+jOHu3buFtuXg4IDY2Fi8fPkS5crljg3+3spHhoaGeP/+PdLS0kTJKnn8/pWUlODu7o4tW7Zg6tSphc5T8z0bN27E27dv8w2PMzEx+e5znEddXT3f6mkc9iRfWZ+ycC/qEVxaOIstUe3S3Bnn9l0u8JiYC/dQp11NsbIaLaviXuQjZGfl3ufR5++hRnNnhHzxTX6NFlURfS53ON3T6Of4+OEjjMwNvjnM6eXDz9/iGVTQQ3ZWtliZrOMi+lmoqqnA3L48bp25U+B+9VLqovsiT052bkL/6y8SGrvXhaq6Co5vPSNWLn4fFz7M6eXDz6vQGFTQ//99XPDKNLn3sfiw9xotnMXu4+/FRVTcDR/thvqN7DB2+GaZJSzU1VUhzBH/lJuTI4RAkHvPP32SiI+ZWTAy1v7mMKeXL96KfjYw0kJ2do5Y2Zdibj1Hnfri0w3UqGWNe3fikJ0t/gXip4/ZSEp8D2VlJTRoYo/TJ6UfOklERSf1usPu7u4Kk5RJSUnJ90FZT08v31LNRkZG0NTUxJEjR1ChQgVoaGhAW1v82yFJaGpqok6dOpg/fz4sLS2RmJiIKVOmfP/AfyEhIQEfPnwQDX3avHkzunbtCgCilZnWr18PU1NTxMbGYuLEiWLHF3btlpaWOHr0KO7evQt9fX1oa2ujd+/eWLRoETp27IiZM2eiQoUKiI2NRUhICMaNGyc2TOhbmjdvjrp166JTp05YsGAB7Ozs8PLlSxw6dAidOnVClSpVMG7cOHTt2hVWVlZ4/vw5Ll++nC+h8C1BQUFYvXp1vuFVeaZNm4Z27drBzMwM3bp1g5KSEm7cuIGbN29i9uzZaN68Oezs7NCvXz8sWbIE7969w+TJk795ztq1a6NUqVL47bffMGLECFy6dEkmE08XZO7cuQgPD0ft2rUxc+ZM1KxZE6VLl8aNGzdw/vz5fMPa0tPTER8fj6ysLLx48QIhISFYtmwZfHx84OrqKpcYSX72LDuACZtG4F7kQ8Scv4c2g5vDyNwAB9YeAwB4ze0Fg3J6WOiZO+TvwNpQdBjWCkOWeODwn8dRua4tWnk1xdxey0Vt/r3iIJaemonu4zvi3D+XUa/jL3Bp7gS/hrlDnTJSP2DXkv3wXuoBgZIAtyLuoJSWJqrUs0NG6geEbjol9XXIIi6i4mrwwj64cCAKCbGJ0DHSRq/JXVBKSxPH/n8vec3pCYPyeljombvE/YUDUfBbNxjtvFsg8mju0CefpR6IuXgfSXHiH7pa9XfF2X8i8811k3sfH4D3kn7/v4/v5t7HdW2RkfYBoZtOS30dB9aFosMwNwxZ3BeH/zqJynUr5d7HvX/PV7ewuIiKsxFjWqFpC0dMn7gT6ekfoauX+2VdWmomPn7M7a3i5e0KA4OyWDj78yqaectZa5ZShbZOadhUMsanT9mIfZIIALhw9j5+7VEbD+7F4070S5SroAuPQY1xPuIecnKEyEj/iF3bL8Dbt0Xu/XzjGUqVUkMVpwrIyPiE0MM3IK0De6+gw681MWREcxzedxWVHSugVbtqmOv/t6iOvUM5GBiWxYP7r2BgWBb9vBpBSSBA8NZzRX4OiUh6UidqFEl4eLioZ0seDw+PfB+eVVRUsGLFCsycORPTpk1Dw4YNCxyWI4mAgAB4eXmhZs2asLOzw8KFC0WT7MpD3oSyKioqMDMzw5AhQ+Dv7w8gt+fFjh074OvrC0dHR9jZ2WHFihViy48Xdu2DBg1CeHg4atasidTUVISFhaFJkyY4ffo0JkyYgC5duuD9+/coX748mjVrJlUPG4FAgEOHDmHy5Mnw8vLC69evYWJigkaNGonma0lKSkK/fv3w6tUrGBgYoEuXLvnmQvkWTU1NaGpqFrrfzc0NBw4cwMyZM7Fw4UKoqqrC3t4eAwcOFD13f//9NwYMGIBatWrB0tISK1asQKtWrQptU09PD1u2bMG4ceOwfv16NG/eHP7+/nIZ8qevr49Lly5hwYIFWLRoER4/fgwlJSVUqlQJ3bt3x6hRo8Tq//nnn/jzzz+hpqYGfX191KhRA8HBwejcubPMYyP5O7XzHLT0y6DP1K7QM9XFk1vPMLntXCTE5r650zfRhZG5gah+/JMETGk7D95LPdBhqBuSXr7F6pEBiAi5KKoTff4e5vRcDs9ZPeAxswfiHsZjTo9luHPp8+oSQVN3IDkhBT0mdoaptTFSk9Pw4MpjbJ9X+Mph3yKruIiKI4MK+vhtqy+0DLSQ8vodYi7eh2+9KZ/vY1MdGJl9/rLh2MZT0CyjiY5D3TBkUV+kJafhatht/DVRfDhy+UqmcGpYGRPcZhd43qBpwbn38YROMF33//v46mNsn7e3SNcR/+Q1prSbD+8lX9zHowIRESI+z9734iIqrjp0ye0ZumRVP7HyRXP24dih3GSJvn4ZGBmLfwm8NujzwiS29uXQrKUj4uOS0bdr7pcsWzeegVAohOfgJjAwLIuUt+m4cPY+AtaHiY4L+jMcyW/T0KNvPZiW00Vq6gc8uBuP7ZvOFula4uOSMWXsDnj7tkCHLjWRlJiK1cuPIiL8c08/NTUVeA5qAtNyusjI+IhL5x9gwax/Cl1mnEo2AYc+yY1A+K3ZKYmIvtJCqduPDoGIZEGg9P06RKT46jj96AiISAZCz8p3pIY82M1a9qNDKJK7U/1+dAjfxXdpREREREREREQKgokaIiIiIiIiIiIFIXWixsvLC+/f51+SLi0tDV5eXjIJioiIiIiIiIioJJI6UbNx40bR8tBfysjIwKZNm2QSFBERERERERFRSSTxqk/v3r2DUCiEUCjE+/fvoaGhIdqXnZ2NQ4cOwcjISC5BEhERERERERGVBBInanR0dCAQCCAQCGBra5tvv0AgkGp5ZSIiIiIiIiIqprh+tNxInKgJCwuDUChE06ZNsWfPHujp6Yn2qampwcLCAuXKlZNLkEREREREREREJYHEiZrGjRsDAB4/fgxzc3MIBAK5BUVEREREREREVBJJPZnwyZMnsXv37nzlu3btwsaNG2USFBERERERERFRSSR1omb+/PkwMDDIV25kZIS5c+fKJCgiIiIiIiIiUlwCYfHcigOpEzVPnz6FlZVVvnILCwvExsbKJCgiIiIiIiIiopJI6kSNkZERbty4ka/8+vXr0NfXl0lQREREREREREQlkcSTCefp0aMHfH19UbZsWTRq1AgAcOrUKYwcORI9evSQeYBEREREREREpGCKyTCi4kjqRM3s2bPx9OlTNGvWDCoquYfn5OSgX79+nKOGiIiIiIiIiOhfkDpRo6amhuDgYMyaNQvXr1+HpqYmnJycYGFhIY/4iIiIiIiIiIhKDKkTNXlsbW1ha2sry1iIiIiIiIiIiEo0qRM1Xl5e39wfEBBQ5GCIiIiIiIiIqBjgHDVyI3Wi5u3bt2KPP336hFu3biE5ORlNmzaVWWBERERERERERCWN1Imav//+O19ZTk4Ohg4dCmtra5kERURERERERERUEinJpBElJfj5+WHZsmWyaI6IiIiIiIiIFJhAWDy34kAmiRoAePjwIbKysmTVHBERERERERFRiSP10KfRo0eLPRYKhYiLi8PBgwfh4eEhs8CIiIiIiIiIiEoaqRM1V69eFXuspKQEQ0NDLFmy5LsrQhERERERERERUeGkTtSEhYXJIw4iIiIiIiIiKi6KyXwvxZHM5qghIiIiIiIiIqJ/R6IeNdWrV4dAIJCowStXrvyrgIiIiIiIiIiISiqJEjWdOnUS/fzhwwesXr0aDg4OqFu3LgDgwoULuH37NoYOHSqXIImIiIiIiIhIcRSXpa6LI4kSNdOnTxf9PHDgQPj6+mLWrFn56jx79ky20RERERERERERlSBSz1Gza9cu9OvXL195nz59sGfPHpkERURERERERERUEkmdqNHU1ERERES+8oiICGhoaMgkKCIiIiIiIiKikkjq5blHjRoFHx8fREVFoU6dOgBy56gJCAjAtGnTZB4gERERERERESkYzlEjN1InaiZOnAhra2v8/vvv2LZtGwCgcuXKCAoKgru7u8wDJCIiIiIiIiIqKaRO1ACAu7s7kzJERERERERERDJWpEQNAERFRSEmJgYCgQAODg6oXr26LOMiIiIiIiIiIipxpE7UJCQkoEePHggPD4eOjg6EQiFSUlLg6uqKHTt2wNDQUB5xEhEREREREZGi4Bw1ciP1qk8jRozAu3fvcPv2bbx58wZv377FrVu38O7dO/j6+sojRiIiIiIiIiKiEkHqHjVHjhzB8ePHUblyZVGZg4MDVq1ahZYtW8o0OCIiIiIiIiKikkTqRE1OTg5UVVXzlauqqiInJ0cmQRERERERERGR4hJw6JPcSD30qWnTphg5ciRevnwpKnvx4gX8/PzQrFkzmQZHRERERERERFSSSN2jZuXKlejYsSMsLS1hZmYGgUCA2NhYODk5YcuWLfKIkYgUiLKOzo8OgYhkIDvl3Y8OgYhkQPlu7I8OgYiIZEzqRI2ZmRmuXLmC0NBQ3LlzB0KhEA4ODmjevLk84iMiIiIiIiIiKjGkStRkZWVBQ0MD165dQ4sWLdCiRQt5xUVEREREREREiopz1MiNVHPUqKiowMLCAtnZ2fKKh4iIiIiIiIioxJJ6MuEpU6Zg0qRJePPmjTziISIiIiIiIiIqsaSeo2bFihV48OABypUrBwsLC5QuXVps/5UrV2QWHBEREREREREpIA59khupEzUdO3aEQCCQRyxERERERERERCWa1Ikaf39/OYRBREREREREREQSz1GTnp6OYcOGoXz58jAyMkKvXr2QmJgoz9iIiIiIiIiIiEoUiRM106dPR1BQENq2bYsePXogNDQUPj4+8oyNiIiIiIiIiBSQQFg8t+JA4qFPISEh2LBhA3r06AEA6NOnD+rXr4/s7GwoKyvLLUAiIiIiIiIiopJC4h41z549Q8OGDUWPa9WqBRUVFbx8+VIugRERERERERERlTQS96jJzs6Gmpqa+MEqKsjKypJ5UERERERERESkwIrJMKLiSOJEjVAohKenJ9TV1UVlHz58gLe3N0qXLi0qCwkJkW2EREREREREREQlhMSJGg8Pj3xlffr0kWkwREREREREREQlmcSJmsDAQHnGQURERERERERU4kmcqCEiIiIiIiIiAorPUtfFkcSrPhERERERERERkXwxUUNEREREREREpCA49ImIiIiIiIiIpMOhT3LDHjVERERERERERAqCiRoiIiIiIiIiIgXBRA0RERERERERkYLgHDVEREREREREJB3OUSM37FFDRERERERERKQgmKghIiIiIiIiIlIQHPpERERERERERFIR/OgAfmLsUUNEREREREREpCCYqCEiIiIiIiIiUhBM1BARERERERERKQjOUUNERERERERE0uHy3HLDHjVERERERERERAqCiRoiIiIiIiIiIgXBoU9EREREREREJBUBhz7JDXvUEBEREREREREpCCZqiIiIiIiIiIgUBBM1REREREREREQKgnPUEBEREREREZF0OEeN3LBHDRERERERERGRgmCihhSCpaUlli9fLnH98PBwCAQCJCcnyy0mIiIiIiIiov8aEzU/CU9PTwgEAggEAqiqqsLa2hpjx45FWloaoqKiIBAIEBERUeCxbm5u6NChQ4H78hIiurq6+PDhg9i+S5cuic75M2rSpAlGjRr1Q2MICwtDu3btYGhoCA0NDdjY2KB79+44ffq0qE7e70ggEEBJSQna2tqoXr06xo8fj7i4OLH2/P39RXWVlZVhZmaGgQMH4vXr1//1pVEh+kxojyNv/hTbtsUsLrT+mJX989U/8uZPrDs3Q6xe/fYuWHd+BvbFrca68zNQr211eV8KnOrZ4o+TU7Dv5WoEXpmLNp6N89Xp5N0Mf12chX9erMLmmwsweI47VNU5KpeKPyVlJXjO7I5ND/7AgdTN2HR/BfpM+fW7r5nOjSpj1aV5OJiWe0y7Ic3z1ens2wYB0ctwIHUztj5ZBe8l/aCqriqvS5EorsUnpiE0OzjfNnv/BLnGRfRf0DfRwfg1Xth5byn2xq7EqrCpqFjVXKJjHWrZ4GD8GqwKm5pvX6chzfDXhZn459lKbL4+H4Nny/810KmeLf44MRn7nq9CYOQctPFspBBxEZE43nE/kVatWiEwMBCfPn3CmTNn687njAAAkqRJREFUMHDgQKSlpWHNmjWoWrUqAgMD0aBBA7Fjnj17huPHjyMkJOSbbZctWxZ///03evbsKSoLCAiAubk5YmNj5XI9Jd3q1asxfPhw9O3bF8HBwbCyskJcXBwuX74MPz8/REVFidW/e/cutLS08O7dO1y5cgULFy7Ehg0bEB4eDicnJ1G9KlWq4Pjx48jOzsbVq1cxYMAAvHjxAocPH/6vL5EK8STmBSZ1Xip6nJOdU2jdNZN2IGDmHtFjZRVlrD49DWf+iRSVVf7FGr9tGIxNc//B2YNXUb9tdfwWMBhj2izE3ajHRYrRub4txqzqD49qkwrcb2xugFnBvji8+QwWev+FKrUrYtii3khJeo+z+68AAFy71obXtF+xdEQQYi49RPmKxhizsj8AYP3knUWKi0hR9BjfEe2GNMfC/qvx9PZz2Na0xtgNPkhLScfffxT8/62JpSFmH5iIw3+dxIJ+K1Glvh1GrByA5NfvEBFyCQDQtFcDDJzXE4sHrkX0uXuoYGuKcQE+AIC1YzYVKVbnxg4YF+CDvjYjihzXjK5LoKL2+W2lln5ZrLu6EKd3XyhSTESKoox2KSw9NB7XI+5iSvcVSEl8D1NLQ6SlZHz32FJlNTF2lReunb4DHUMtsX2uXWvBa2oXLB25Mfc10MYYY1Z6AgDWTynaa6BzfVuM+cMTHi6/Fbjf2Fwfs7aP+P9r84bc1+aFvZCSmIqzB/Jem2UfF/3EOEeN3LBHzU9EXV0dJiYmMDMzQ69evdC7d2/s3bsXADBgwADs3LkTaWlpYscEBQXB0NAQbdu2/WbbHh4eCAgIED3OyMjAjh074OHhka/unj17UKVKFairq8PS0hJLliwR25+QkID27dtDU1MTVlZW2Lp1q9j+J0+eQCAQ4Nq1a6Ky5ORkCAQChIeHFxrjuXPn0KhRI2hqasLMzAy+vr5i17t69WpUqlQJGhoaMDY2RteuXb95zd/zrev8448/xJIje/fuhUAgwKpVq0Rlbm5umDSp4A+5sbGxGDVqFEaNGoWNGzeiadOmsLKyQr169TBy5EhERkbmO8bIyAgmJiawtbVFjx49cPbsWRgaGsLHx0esnoqKCkxMTFC+fHm0a9cOvr6+OHbsGDIyvv+Gg/4b2Vk5eJvwTrSlJKUWWjf9fYZY3UrVLFBGpxSObT0rqtPJuzmuhEcjePlhPL8fj+Dlh3Ht9B109hb/RrzrCDcEXpmLf16swurT09Cgg0uRr6Ft/8ZIePEG634LxrN78TiyOQLHtp5F1+EtRXUq/2KN2xcfIHzPJbx6loQrYdEID7kE22qWRT4vkaKoXLcSzu2LxKVDV/Hq6Wuc2XMRUaE3YFvTutBj2g1pgdexSVgzeiNi77zA4Q0ncTQwDN1GtxfVcahTCbfP3kXY9rN49fQ1okJvIGzHOdjWEG/XfWwHbLq/AgdSN2PtlYVo+GvtIl+LJHG9f5uGt69SRJtLc2d8SM/E6V1M1FDx1s3XDa9fvMVS3424d/UJXj1LwrUzdxD35Pu9kX2X9kH4nouIiXyUb1/lmja4femL18Dw/78GVrUQq9d1hBsCI+fgn2crsTp8Khq0/xevzZ7/f22eshPP7sfjyJYIHNt2Fl2HtZA6LiKSLyZqfmKampr49OkTAKB379749OkTdu3aJdovFAoRFBQEDw8PqKh8u3NV3759cebMGVHvmT179sDS0hIuLuIvFlFRUXB3d0ePHj1w8+ZN+Pv7Y+rUqQgKChLV8fT0xJMnT3Dy5Ens3r0bq1evRkJCwr+61ps3b8LNzQ1dunTBjRs3EBwcjIiICAwfPhwAEBkZCV9fX8ycORN3797FkSNH0KhR/q6ekvredTZp0gS3b99GYmIiAODUqVMwMDDAqVOnAABZWVk4d+4cGjfOPxQEyH1+P336hPHjxxe4X5LhZpqamvD29sbZs2e/+fxqamoiJycHWVlZ322T/hvlrY2w9fYiBF2dh4l/DYKJhYHEx7r1aYCrp2KQ8PyNqKzyL9a4EhYtVi/q5G1UrmUjeuwxuRNa9q6PlWO3Yki96fh7zXGMXzsQTvVsi3QNuee8ne+clapZQFlFGQBw+3/s3XVYVNkbB/Dv0A0KEhYhodhiYSEW2C02iLl2t4LxU0FR7AZ0bV10XRVbWBUxsBULAwNEQLDJ+/tjZGBoWFlG9/t5Hh6Zc8+999xxDmfmnfece/kJLGoZw7KOCQDA0FgP9VpXx5WTt4t0TiJZcvfCQ9RuUQ3lLIwAAGY1jFGtsRWuBNzIdZ8qDS0ReuqWVNm1k7dgWddM0m/uXnwICxszWNUT919DU33Ub1sbl49lHHfQAic4uDTHqlFbMaT6JPivPIrp20ejRrMqRbqWgrQrq7au9gjcG4xvXxKLdE4iWdHQsSYe3XqBWVuHY0/YMqw5OxuOA5rku1/rPo1Q1qQMdiw9kuP2e5efwKKmMSxrmwD4Pga2qo4rp+5I6jjP7II2fRphzZSdGN7EHQc3nMbU9YP/4dic/f2ARS0T6bE5n3YRUfHj1Kdf1JUrV7Br1y60bNkSAFC6dGl06dIFvr6+cHFxASBe2+Tp06dwdXXN93j6+vpo27Yt/Pz8MHfuXPj4+OS43/Lly9GyZUvMmSOeh2tpaYn79+9j6dKlcHFxwaNHjxAQEICQkBA0aCD+dm/r1q2oUqVobx7TLV26FH379pWsKWNhYYFVq1bBzs4O69evR0REBNTV1dGhQwdoamrC2NgYtWsXfY2O/K6zWrVq0NXVRVBQELp3747AwEBMmjQJK1asAABcvXoV3759yzYVLd2jR4+gpaUFQ0NDSdkff/whlcF06dIlqaydnFSuXBmAOEtJX18/2/YHDx5g/fr1qF+/PjQ1NbNtT0xMRGKi9JvsNCEVcqKc35jTP/cg9BmWjvTB6ydvUUpfC30mtcfy49MxvJEbPr7/nOe+pQ20Ua9VNSwZtkWqvJS+Nt5Hf5Aqex/9AaX0xWnYympK6DayNaZ38ULYVfG3flEvYlC1oTnauTTDneBHhb4O8Tk/Sp/z3QcoKCpAW1cDcW8TEOR/Fdq6mvA6Ng0iEaCgqIC/tp7DvpXHC30+Ilmz1/NPqGurwef+cqSlpkFOXg6+s/fi3J7gXPcpbaiNa28TpMrev00Q9xs9TcRFxSNwbzC09bSw4u/5kn5zeP1J7PX8EwCgoqaM7hM6YEqr+QgLeQwAiHoWjWqNK6P9sFa4/XdYoa+lIO3KzKpeJZhWrwivoRsKfS4iWWNkXAYdXOzgv/4U9ngfg1UdU/y2qDeSE1NwZl/OGWNlzfThOqcbJnf0zHX6ctDBq9DW1YDX0akQiURQUJTHXz6B2LdKPAYqqymh22+tML3rcklGjmRsdm5a9LH5nfSXKOKxWT5jbM6nXUSZiTj1qdgwUPMLOXLkCDQ0NJCSkoLk5GR07twZq1evlmwfPHgw2rRpgydPnsDc3Bw+Pj5o3LgxrKysCnR8V1dXjBs3Dv3798elS5ewf/9+nD9/XqpOWFgYOnfuLFXWuHFjeHt7IzU1FWFhYVBQUEDdunUl2ytXrgwdHZ2iXzjEGS5PnjyRmkYlCALS0tLw7NkztG7dGsbGxjAzM4OjoyMcHR3RtWtXqKmpYefOnRg+fLhkv4CAADRt2jTP8+V3nfLy8mjWrBkCAwPRsmVL3Lt3DyNGjMCyZcsQFhaGwMBA1KlTBxoaGrmeI2vWjIODA27evInXr1+jefPmSE1Nzfd5EQQh27Hu3LkDDQ0NpKamIjExEc2bN8emTZty3H/x4sWYN096UdpKKrVhrmqT77mpaK6dviv5/XnYa9y/Gg7f0EVo3acR/NedynPf1n0a4VPCF1w6msM39lkGUpFIJCkztioLZVUlLPpjglQdBSUFhN/JWIPqYETG3xM5eTkoKitIld0NeYw5vVZlOqf0SdNfhumvyxqNLdF7YjusnbITD649Q1kzfYxY7IT3bxOwa9nRPK+VSNY1d2qElv2aYHH/1Xh+7yXMa5ngt+XOiI2Mw6ntf+e6n5BTX0WmfmNnjb4zu2L16K0Iu/wY5cwNMXKFC+Ii32Pn//xR0bo8lFWV4HFittRxFJQU8ORGxppUhxO2SX5P78+Zy+5cCMOs9ksK3K7MHF1b4NmdCDy8Gp7rdRL9LERyIjy++QJ+/zsEAAi/8xLGVkboMMgux0CNnJwI0zcOwe+eh/E6PPeM5hqNLdF7QjusnboLD0KfoaxpGYxY1Fs8BnodhbGVkXhsPjBeaj/x2PxS8vjg84xxVzI2Zyq7G/IEc3rnNTZn+RuTT7uI6N/BQM0vxN7eHuvXr4eioiLKli0LRUXpO0C0atUKxsbG8PPzw9SpU+Hv7481a9YU+Pjt2rXD8OHDMXjwYHTs2BG6urrZ6giCkC3AkPlNXE6Bg6zk5OSy7Zc+hSs3aWlpGD58OMaOHZttW8WKFaGkpITr168jMDAQJ0+exNy5c+Hu7o6rV6+iU6dOkuweAChXrlye50pvW17XCUASADl//jxq1qwJHR0dNGvWDEFBQQgMDETz5s1zPb6FhQUSEhIQFRUlyarR0NCAubl5vtPUMgsLE39zamJiIimzsrLC4cOHIS8vj7Jly0JZWTnX/WfMmIGJEydKlfUwHl/g89M/l/glCc/DXqOsWfaMqKza9GuMM/tCkJIsHcR7H52AUgbSixjqlNHE+3fiLBuRnPi1PLf3asREvpeql5yUMSVupN18ye+Vbczg6t4dUzsulZQlfcvopzmeU08LKckp+BAnzgwaOLMLzu4LwfHfxXekex72GipqShi7YgB2ex3L8QMg0c9iqEc/7PX4E4F7xRk0z+++hH7FMug9rUuugZq4qASUNtSWKtPR/95vvq9V5TKvF07v+BsBW89KjquirozxG4Zh16KDkPven2d3XIKY13FSx0pOzOjPI+pkTK2t3MACQxb3xeQWGYH5xK9JhWpXOmVVJdg7NcI2Ny46Sr+GuLcJiHj0Rqos4nEUGueyVoyqhgosa5ugUvUKGLVEfBMOkZz4zpxHo9ZjZk9v3Dr/EAOnd8bZ/SE4viPTGKiujLFeA7B7+TGIROL3w3P7rsk+NmfqyyPtF0h+r2xjCte53TG1c8bdIpO+Zhmb9bP0ZT1NpCSnZozN+bSLYzPRv4OBml+Iuro6zM3Nc90uEokwaNAgbNmyBeXLl4ecnBx69epV4OPLy8tjwIAB8PT0zPUOQdbW1tluAx4cHAxLS0vIy8ujSpUqSElJwbVr11C/fn0A4rsVxcfHS+qXKVMGABAZGSmZnpR5YeGc1KlTB/fu3cvz+hUUFNCqVSu0atUKbm5u0NHRwdmzZ9GtW7ccp/3kJb/rBMSBmnHjxuHAgQOSoIydnR1Onz6N4OBgjBs3Ltfj9+jRA9OnT4eHh4dkulRhff36FZs2bUKzZs0kzykAKCkp5fk8ZaasrJwtkMNpT/8uRSUFVLA0wt1Lj/OsV6OxJcpVMsCJHReybQu7+hS1m1vj4PrTkrI69tYIuyL+tjvi4RskfUuGfvnSeaZSRz7LWDixTNlSSEtJlSrLes4GjjWkyurYW+PxzRdITREHkpRVlZCWJv2GLy1V+H4L+ezf4BP9TFTUlJEmZH19p0kCKTkJC3mEhh2kMxZtWtfAo2tPM/qNmjKEbP0mTdJvXtx/haRvSdCvqJfnNKc34W8lv+uV10VqSqpUWWHblc6uly0UlRVweqd0xi3Rz+r+lScoX8lQqqxcJQNEv4zLsf6Xj98wvIm7VFkH1+ao1bQyFg7agKgI8fqFymo5jYFpEInEGagRj76PzeV+8NjskNPY/DzT35i828WxmejfwUDNf8ygQYMwf/58zJw5E71794a6unqh9l+wYAGmTJmSYzYNAEyaNAn16tXDggUL4OTkhEuXLmHNmjVYt24dAHE2h6OjI4YOHYpNmzZBQUEB48ePh6qqquQYqqqqaNiwIZYsWQITExPExMRg9uzZOZ4v3bRp09CwYUOMGjUKQ4cOhbq6OsLCwnDq1CmsXr0aR44cwdOnT9GsWTOUKlUKx44dQ1paWr7Tvt69e5ctSGRoaJjvdQKQrFOzc+dO/PmneO2A5s2bY9KkSQCQ6/o0gDgLyMvLC+PGjUNcXBxcXFxgamqKuLg47NixAwAkAaF00dHR+PbtGz5+/IjQ0FB4enoiJiYm31uvk2wZMr8HLh+/jehXcdApo4k+k9pDTVMFp3eLv5UfNKcrdI1KYdlIH6n9HPo3Qdi1p3gR9ibbMQ9tPINlR6ag51hHXAq4Cdu2tVDbrgomtfMEAHz9lIg/1pzEsP/1gkhOhHshT6CmqQLr+pXw9XMiTu+5VOjrOOobhE5D7DFsYS8EbP8bVepVgkP/JlgydLOkzuUTt9B1ZGuE34n4PvWpDAbO7IyQ47eyvUkk+tmEHAlF3xldER0Rgxf3XsG8tgm6T2iPE77nJHVc/9cHeuVKw9NFfEfAIxtPodMoBwxfNgABW86iiq0FHF1bYFG/lVLH7T6hPZ7cfI4Hlx+jrLkhnOc54dJf15CWJuDrp2/Y73UEI7wGQiQnwt0LD6GmpYqqtpb4+vlbntOuclOQdqVzHGSPi39ew8e43O9WR/QzObjhNJYfmw6n8W3x95/XYFXHFO0GNMXKSb9L6gya3RW6RjpYNsoXgiDgxQPpsTgh5iOSviVLlV8+cRtdf2uF8Dsv8SD0Kcqa6mPg9M4IOXHre19OxB9rT2LYwu9j8+XvY3O972Pz3iKMzX5B6DTYHsMW9ETA9vPisblfE6m17fJrF5EUviSKDQM1/zEVK1ZEq1atcPLkyQItIpyVkpIS9PRyvwNNnTp1sG/fPsydOxcLFiyAkZER5s+fL1nAGAB8fX0xZMgQ2NnZwcDAAAsXLpQsypsufbHiunXrwsrKCp6enmjTpg1yU6NGDQQFBWHWrFlo2rQpBEFApUqV4OTkBADQ0dGBv78/3N3d8e3bN1hYWGD37t2oWrVqnte7a9cu7Nq1S6rMzc0N7u7u+V6nSCSCnZ0dDh06JFnzpkaNGtDW1oaZmRm0tKSnhWQ1ZswYVKlSBcuXL0ePHj3w4cMH6OrqwtbWFsePH8+2kLCVlRVEIhE0NDRgZmaGNm3aYOLEiVILEpPs0ytbCtM3D4WWrgYSYj7iQehTTGizWHIXp9IGOtAvX1pqHzVNVTTuWAcbZu7N8ZhhV8KxeMgmOM/sgoEzOyPy+TssHrwJD0Mz1qvYtugQ4mM+wGl8WxialMHnhC94cjsCe5YfK9J1vI2IwRynVRj+v17oMLg54qISsH76Hlz867qkzq5lRyEI4rta6BrpICH2Iy4fvw2/hQeLdE4iWbJmrC9c5jth7JrB0NHXRuybOBzddBo7FhyQ1NE10oF+hYwvPqKev8PsDkswwssZnUY6IPbNe6wb74sL/lckdXb+zx+CALjMd4JeudJIePcBIUdC4TN7j6SO39y9iI9OQO9pXWC00QCf4j/jyY1n2L34UJGupSDtAoByFkao3rQKpjksLNJ5iGTRoxsvMN95HQbN7oZ+kzsgKiIGG2bvxbkDGa//0gba2cbm/OzyOgpBEOA8o/P3MfATLp+4JVkLBwC2Lf4T8TEfxWOzsV7G2Oydc2Z7ft5GxGJOn9UYvrAXOrh+H5tn7sHFI5nG5gK0i4iKn0jgREMiKgTH0kNLuglE9AOkJnzIvxIRyTz5Utr5VyIimXc8Juebe8iyWqOLtkRDSbu5ZkL+lUoYM2qIiIiIiIiIqFB4e+7iI1fSDSAiIiIiIiIiIjEGaoiIiIiIiIiIZAQDNUREREREREREMoJr1BARERERERFR4XCNmmLDjBoiIiIiIiIiIhnBQA0RERERERERkYzg1CciIiIiIiIiKhTenrv4MKOGiIiIiIiIiEhGMFBDRERERERERCQjGKghIiIiIiIiIpIRXKOGiIiIiIiIiAqHa9QUG2bUEBERERERERHJCAZqiIiIiIiIiIhkBKc+EREREREREVHhcOpTsWFGDRERERERERGRjGCghoiIiIiIiIhIRjBQQ0REREREREQkI7hGDREREREREREViohr1BQbZtQQEREREREREckIBmqIiIiIiIiIiGQEpz4RERERERERUeFw6lOxYUYNEREREREREZGMYKCGiIiIiIiIiEhGMFBDRERERERERCQjuEYNERERERERERWKSOAiNcWFGTVERERERERERDKCgRoiIiIiIiIiIhnBqU9EREREREREVDic+VRsmFFDRERERERERJSDdevWwdTUFCoqKrCxscH58+cLtN/FixehoKCAWrVqFfqcDNQQEREREREREWWxd+9ejB8/HrNmzcKNGzfQtGlTtG3bFhEREXnul5CQgIEDB6Jly5ZFOi8DNURERERERET0n5CYmIgPHz5I/SQmJuZYd/ny5Rg8eDCGDBmCKlWqwNvbGxUqVMD69evzPMfw4cPRt29f2NraFqmNDNQQERERERERUaGIhJ/zZ/HixdDW1pb6Wbx4cbbrS0pKQmhoKNq0aSNV3qZNGwQHB+f6vPj6+iI8PBxubm5Ffm65mDARERERERER/SfMmDEDEydOlCpTVlbOVi8mJgapqakwMDCQKjcwMEBUVFSOx378+DGmT5+O8+fPQ0Gh6OEWBmqIiIiIiIiI6D9BWVk5x8BMbkQikdRjQRCylQFAamoq+vbti3nz5sHS0vIftZGBGiIiIiIiIiKiTPT09CAvL58teyY6Ojpblg0AfPz4EdeuXcONGzcwevRoAEBaWhoEQYCCggJOnjyJFi1aFOjcDNQQERERERERUeEIJd2A4qWkpAQbGxucOnUKXbt2lZSfOnUKnTt3zlZfS0sLd+7ckSpbt24dzp49iwMHDsDU1LTA52aghoiIiIiIiIgoi4kTJ2LAgAGoW7cubG1tsWnTJkRERGDEiBEAxOvdvH79Gtu3b4ecnByqVasmtb++vj5UVFSyleeHgRoiIiIiIiIioiycnJwQGxuL+fPnIzIyEtWqVcOxY8dgbGwMAIiMjERERMQPP69IEIRfPGGJiH4kx9JDS7oJRPQDpCZ8KOkmENEPIF9Ku6SbQEQ/wPGYTSXdhEKr77K8pJtQJFf8JuZfqYQxo4aICiU1Pr6km0BEP4BC+XIl3QQi+gGOXjlW0k0gIqIfTK6kG0BERERERERERGIM1BARERERERERyQhOfSIiIiIiIiKiwuFqt8WGGTVERERERERERDKCgRoiIiIiIiIiIhnBqU9EREREREREVCgiTn0qNsyoISIiIiIiIiKSEQzUEBERERERERHJCAZqiIiIiIiIiIhkBNeoISIiIiIiIqLC4Ro1xYYZNUREREREREREMoKBGiIiIiIiIiIiGcGpT0RERERERERUKLw9d/FhRg0RERERERERkYxgoIaIiIiIiIiISEYwUENEREREREREJCO4Rg0RERERERERFY7ARWqKCzNqiIiIiIiIiIhkBAM1REREREREREQyglOfiIiIiIiIiKhQeHvu4sOMGiIiIiIiIiIiGcFADRERERERERGRjGCghoiIiIiIiIhIRnCNGiIiIiIiIiIqHK5RU2yYUUNEREREREREJCMYqCEiIiIiIiIikhGc+kREREREREREhSJKK+kW/LqYUUNEREREREREJCMYqCEiIiIiIiIikhEM1BARERERERERyQiuUUNEREREREREhcPbcxcbZtQQEREREREREckIBmqIiIiIiIiIiGQEAzVERERERERERDKCa9QQERERERERUaGIuEZNsWFGDRERERERERGRjGCghoiIiIiIiIhIRnDqExEREREREREVjsC5T8WFGTWUIxMTE3h7exe4fmBgIEQiEeLj44utTf8GPz8/6OjoSB67u7ujVq1aJdYeIiIiIiIi+m9hoKaYuLi4QCQSQSQSQVFREWZmZpg8eTI+f/6M0NBQiEQiXLhwIcd9HRwc0KlTpxy3pQdESpUqhW/fvkltu3LliuScv6LmzZtDJBJhyZIl2ba1a9cOIpEI7u7uP/SckydPxpkzZ37oMQvjxo0bcHJygpGREZSVlWFsbIwOHTrgr7/+gvA9gv38+XPJ/7tIJIKmpiaqVq2KUaNG4fHjx1LH8/Pzk6prZGSEXr164dmzZyVxeZQDOXk5uCzoje3ha3Hk805sf7IG/ef0yLNf17Czxqm0/dl+KliVzbF+c6dGOJW2H+7+U4rrMjLa1swaa6964OgX8bV0GN46Wx11bTWMWTMYe15vwtEvO7H13grUb1u72NtGVNyq1TeDu88Q7Lg6DwER3rBtUz3ffao3qIRVRyfhz0dL4XNhNtr1b5RrXbuOtREQ4Y05mwf/yGYXqV3yCnLoO84BPudn489HS7H2+BTY2FUu9nYRFbert4DfpgPNugFV7EQ4fT7v+qG3gb6jgIYdgVqtgXYDAL992eudDAI6DARqtBL/e+rv4ml/uuhYYPJ8oG1/wLo5sGh1zvX+7XYRUc4YqClGjo6OiIyMxNOnT7Fw4UKsW7cOkydPho2NDWrWrAlfX99s+7x8+RKnT5/G4MF5v+nS1NTEwYMHpcp8fHxQsWLFH3oNsqZChQrZnrc3b97g7NmzMDIy+uHn09DQgK6u7g8/bkH8+eefaNiwIT59+oRt27bh/v372L9/P7p06YLZs2cjISFBqv7p06cRGRmJW7duYdGiRQgLC0PNmjWzBZq0tLQQGRmJN2/eYNeuXbh58yY6deqE1NTUf/PyKBe9p3VBh+GtsWbMVgy2Ho/N03ag5+RO6DKmbb77uliNRS+joZKf14+jstXRr6iHYUsH4vbf9/9xW2vYWeP3p2tz3W5ooo+FR2fg7oUw/FZnKnYv9sfIla5o0q2BpI6CogI8Ts6BgbE+FvT0wqDK47B82EbEvI77x+0jKmkqasp4ev8N1s35o0D1DSqUxvxtw3DvylOMbrcMe9ecxgj3bmjctka2uvrlSmHI7M64czn8H7ezekNz+F2c+4/a5TylPdr2s8X6uX9geKslOLYjGHM2u6JS1XL/uH1EJenrV8DKHJg9vmD1VVWAfl2B31cBR7cDIwYAq7YC+w5n1LlxF5g4D+jUBji0VfzvRHfg1j8Ymq/cAFo65b49OQkorQMM7w9UrpRzneJoFxEVDQM1xUhZWRmGhoaoUKEC+vbti379+uHQoUMAgMGDB2Pfvn34/Pmz1D5+fn4oU6YM2rdvn+exnZ2d4ePjI3n89etX7NmzB87Oztnq/vHHH6hatSqUlZVhYmICLy8vqe3R0dHo2LEjVFVVYWpqip07d0ptT8/YuHnzpqQsPj4eIpEIgYGBubYxODgYzZo1g6qqKipUqICxY8dKXe+6detgYWEBFRUVGBgYoEePHnleMwB06NABsbGxuHjxoqTMz88Pbdq0gb6+vlTdpKQkTJ06FeXKlYO6ujoaNGiQrb1+fn6oWLEi1NTU0LVrV8TGxkptzzr1qXnz5hg/frxUnS5dusDFxUXy2MTEBAsXLsTAgQOhoaEBY2Nj/Pnnn3j37h06d+4MDQ0NVK9eHdeuXcv1Oj9//ozBgwejffv2OHr0KNq0aYNKlSqhfv36GDJkCG7dugVtbW2pfXR1dWFoaAgzMzN07twZp0+fRoMGDTB48GCpIIxIJIKhoSGMjIxgb28PNzc33L17F0+ePMm1PfTvqdLQEsGHr+HKset4++Idzv8RgtCTt2Bpk8u7qkzioxPw/m285CctLU1qu5ycHGbsGIft7vsQ9TQ6x2P0mtIJ25+swZHPO7HhxlI07d6wyNfSYURrvIuIwfoJfoh48BoBW8/ihO9Z9JyUkTHo6GoPzdIacOvqiXvBDxEdEYN7Fx/g6e0XRT4vkay4FhiG7cuOIfj47QLVb9+/MaJfx2PjvIN4+eQtTuwJwcl9l9F9WAupenJyIkxdNQC/Lw9AVERsjsfqMaIFfC7MxqFHnlh7fAqatKtZ5OsoSLtadKuLvWtO4+q5MERFxOLojosIDXqIbkPti3xeIlnQrCEwfgjQplnB6ltbAu1bARamQDkjcbCjcT3gWqY/A9sPAI1sgGH9ATNj8b8NbYDt+zPqCAKwZRfQurc4M6eLK3AisOjXUc4ImDkW6OIIaGjkXKcg7SLKTCT8nD8/AwZq/kWqqqpITk4GAPTr1w/JycnYvz/jL58gCPDz84OzszMUFPJe53nAgAE4f/48IiIiAIiDMSYmJqhTp45UvdDQUPTq1Qu9e/fGnTt34O7ujjlz5sDPz09Sx8XFBc+fP8fZs2dx4MABrFu3DtHROX+IK6g7d+7AwcEB3bp1w+3bt7F3715cuHABo0ePBgBcu3YNY8eOxfz58/Hw4UMcP34czZrlPwIqKSmhX79+Ulk1fn5+cHV1zVZ30KBBuHjxIvbs2YPbt2+jZ8+ecHR0lEwHunz5MlxdXTFy5EjcvHkT9vb2WLhw4T+67nQrVqxA48aNcePGDbRv3x4DBgzAwIED0b9/f1y/fh3m5uYYOHCgZPpSVidPnkRsbCymTp2a6znym+ImJyeHcePG4cWLFwgNDc21nqqqKgBIXptUsu5efIDaLaqhnIU4Q8yshjGqNamMKwHX8913/fWl2PN6EzxPzUXN5lWzbe8/twfi333AcZ+zOe4/aGEfOLjYY9XIzRhSbQL8vY9i+u9jUKOZdZGupUpDS4Sekv6Aeu3ELVjWNYO8gjwAwLZjXdy/9Ahj1g7BvsjN2HTbC31mdIWcHIcn+u+pXMcE188/kCq7HvQAFjUqQF4ho0/0He+AhNhPOLn3co7HcZ7SDq17NsCamQcwopUHDm4JwhTv/qjeIP+Ab1HbpaikgKRE6XEk6VsyqtYzK9I5iX4V9x8BN+8B9WpllN26BzSqJ12vcT3gxr2Mxyu3AAcDALeJwF/bAOeewNT/AVduFl9bC9IuIvp38K5P/5IrV65g165daNmyJQCgdOnS6NKlC3x9fSXZGIGBgXj69GmOQYes9PX10bZtW/j5+WHu3Lnw8fHJcb/ly5ejZcuWmDNnDgDA0tIS9+/fx9KlS+Hi4oJHjx4hICAAISEhaNBAPB1h69atqFKlyj+63qVLl6Jv376S7BMLCwusWrUKdnZ2WL9+PSIiIqCuro4OHTpAU1MTxsbGqF27YGtSDB48GE2aNMHKlSsRGhqKhIQEtG/fXmp9mvDwcOzevRuvXr1C2bLidTomT56M48ePw9fXF4sWLcLKlSvh4OCA6dOnS56b4OBgHD9+/B9dOyBeM2f48OEAgLlz52L9+vWoV68eevbsCQCYNm0abG1t8fbtWxgaGmbb/9GjRwAAKysrSdnVq1dhb5/xzeSePXvQoUOHPNtRubJ4fYDnz5+jfv362ba/evUKS5cuRfny5WFpaZlte2JiIhITE6XK0oRUyInk8zwvFd1ej0NQ11aDT5g30lLTICcvB9/Zu3Fuz8Vc94mLjMfyYRvwOPQpFJUV0WpAM3ienovJ9u64cz4MAFC1kRUcXVtgRO2c16VRUVNG9wkdMKXlPISFiF9/Uc+iUa1JZbQf1rpIU6VKG+rg2tt4qbL3b+OhoKgAbT1NxEXFw9DMALVaVMOZXRcwq/1ilLMwxJg1QyCvII8dCw4U+pxEP7NSZTQR/+6jVNn7mI9QUJSHVmkNvI/+AOu6pnBwaohRjktzPIayqhK6Dm2O6b3X4cH15wCAqIhYVK1nirb9GhVpqlRB2hUa9ADdhjbH3cvhiHwRi1pNLNCwTTXIM+hK/1HNewBx8UBqKjDKBeiZ6S1bTBygV0q6vl4pcTkAfPkqXtfGdwVQu5q4rEJZIPSOeApV/VrF0+b82kVE/x4GaorRkSNHoKGhgZSUFCQnJ6Nz585YvTpj5a7BgwejTZs2ePLkCczNzeHj44PGjRtLfTjPi6urK8aNG4f+/fvj0qVL2L9/P86fl17hLCwsDJ07d5Yqa9y4Mby9vZGamoqwsDAoKCigbt26ku2VK1eWuvNRUYSGhuLJkydS06gEQUBaWhqePXuG1q1bw9jYGGZmZnB0dISjoyO6du0KNTU17Ny5UxLkAICAgAA0bdpU8rhGjRqwsLDAgQMHcO7cOQwYMACKiopS579+/ToEQcgWfEhMTJSsORMWFoauXbtKbbe1tf0hgZoaNTLm7RsYGAAAqlevnq0sOjo6x0BNbsdMn35mYWGBlJSUfPdJz9jJnH2TkJAADQ0NCIKAL1++oE6dOvD394eSklK2/RcvXox58+ZJlZmiCiohe7YG/RjNnRqhZb+mWNxvJZ7fewXzWib4bYULYt+8x6ntQTnu8+rRG7x69EbyOCzkEcqU10XPSZ1w53wYVDVUMO33sVgxbAM+xH7M8RgVrctDWVUJHifnSJUrKCngyY2MxaYPf/hd8rucvBwUlRWkyu6cD8Os9oskj7NmjaW/FtOL5eREiI/+AO9hG5GWlobH159Ct2xp9JzciYEa+k/Kmmcp+fstCFBVV8YU7/5YOW0vPrz/nG1fADC2MICyihIW7fxNqlxBUR7h915LHvuHeUh+l5MXQVFJQars7pWnmOu8sUDtAoCN7v4Y69Ebm87NBAQBkS9icWrfZbTu1QBE/0U7VgNfvgA37wPLNwHG5cRTotJlTYwWMpWFPwcSk0QYMlm65yUnA1UsMh7bOGb8npoKJCVLl9lUBzblHNPNVV7tIsrmJ5lG9DNioKYY2dvbY/369VBUVETZsmWzBRNatWoFY2Nj+Pn5YerUqfD398eaNWsKfPz0rI3BgwejY8eOOS56KwhCtikymT845fRBPqv0KQiZ98tvmkxaWhqGDx+OsWPHZttWsWJFKCkp4fr16wgMDMTJkycxd+5cuLu74+rVq+jUqZMkuwcAypXLvhChq6sr1q5di/v37+PKlSs5nl9eXh6hoaGQl5fO/tD4PjE3t2lHeZGTk8u2X07PReb/6/TnNqeyrGuIpLOwEI/CDx8+RMOG4jVClJWVYW5uXqj2hoWJsylMTU0lZZqamrh+/Trk5ORgYGAAdXX1XPefMWMGJk6cKFXWVdulUG2gwhnqOQB7PQ4hcG8wAOD53QjoG+uh9/SuuQZqcvLg8mO07CcOcJatZAgjU30sODxdsl0kJ34NHk/ag0GVx0Hu++PZHRZnW8g3OdN0hswZOZUbmGPIkv6YbO8uKUv8miT5PS4qHqUNpb+a09HXRkpyiiRgFBcZj5TkFKm+EBH2CrpGpaCgqICU5PwDkkS/ivfvPqJUGU2pMh1dDaQkp+LD+88wtjSCYUVduPsMkWxP78tHnnphqP0iiL6P2W4umxATJb3ofHJSRn/KnJFTubYxXGd0xNReGe9Bkr5l9Pv82gUACXGfsWDoVigqK0BLRx2xbxPgOqMj3r7MeQ0dol9d+e/3uLCsBMS+B9b4ZQRq9EoD77JkqcS+B3S/D5lp399qrl8CGOhJ18v8vZr/lozfb4cBXhuBbd4ZZSrKhWtzfu0ion8PAzXFSF1dPc8P1iKRCIMGDcKWLVtQvnx5yMnJoVevXgU+vry8PAYMGABPT08EBATkWMfa2jrbbcCDg4NhaWkJeXl5VKlSBSkpKbh27ZpkaszDhw8RHx8vqV+mTBkAQGRkpGR6UuaFhXNSp04d3Lt3L8/rV1BQQKtWrdCqVSu4ublBR0cHZ8+eRbdu3aCpqZnrfgDQt29fTJ48GTVr1oS1dfb1M2rXro3U1FRER0dLZeNkZm1tjZCQEKmyrI+zKlOmDCIjIyWPU1NTcffuXakpST9CmzZtULp0aXh4eGS7u1dBpaWlYdWqVTA1NZWaViYnJ1fggI+ysjKUlaVHeU57Kl4qaspIS5MOBqalpkkCKQVVqZYpYiPjAQARD15jaHXpgJvLgt5Q01TFuvG+ePcyFvHRCUj6lgT9inp5TnN6E55xJym98qWRmpIqVZZZWMgjNOxQV6rMpk1NPLr2FKkp4gWu7wU/gH2fJhCJRJIgaHnLsoh9E8cgDf3nPLj+HA1aSWcs1mlWGY9vv0RqShpehr/FiFZLpLYPnNIeahrK2ODmj3dv4hEf8wlJ35JRplypPKc5Rb6IkfyuZ6SD1JQ0qbLCtCuz5MQUxL5NgLyCHBq3rYG/j9wsyKUT/dIEQZztkq5mVSD4GuCS6W1/8FWg9vduZm4CKCkJiHyb9zQn4/IZv799B8jLS5cVVn7tIqJ/DwM1JWzQoEGYP38+Zs6cid69e+eZ3ZCTBQsWYMqUKbneQnrSpEmoV68eFixYACcnJ1y6dAlr1qzBunXrAIjXQHF0dMTQoUOxadMmKCgoYPz48ZIFZgHxYrMNGzbEkiVLYGJigpiYGMyePTvPdk2bNg0NGzbEqFGjMHToUKirqyMsLAynTp3C6tWrceTIETx9+hTNmjVDqVKlcOzYMaSlpRV42lepUqUQGRmZLUspnaWlJfr164eBAwfCy8sLtWvXRkxMDM6ePYvq1aujXbt2GDt2LBo1agRPT0906dIFJ0+ezHfaU4sWLTBx4kQcPXoUlSpVwooVK6SCWj+KhoYGtmzZAicnJ7Rv3x5jx46FhYUFPn36JGlj1kyh2NhYREVF4cuXL7h79y68vb1x5coVHD16NFtdkl0hf4Wi78xuiI6IwYt7L2Fe2xTdJ3TECd+MBYBdF/WFXtnS8HQRf/vddVw7vH3+Di/uvYSCkgJa9m+GZj0aYl538TfmyYnJeH7vpdR5Psd/AQBJeUpyCvZ7/YURy50hkhPh7oUHUNNSRdVGVvj66VuhsnnSHdlwCp1GOWK4lzMCNp9GFVtLOLq2wKK+3pI6f60/ic6j22LkykE4tDoA5SyM0GdGVxxanXPwmehnoqKmhLImZSSPDSqUhpl1OXyM/4x3b+LhMq0DdA214TVBPE346I6L6OjcBEPndMHx3ZdQpY4J2jg1gMeY7QDEQZAXj6QDo58/fAUASXlKcir+2HQOw+Z2gZycCPeuPoWahgqq2Jji25dEnD5wtdDXkV+7AMCqljF0DbXx9P5r6Bpqo/8ER4jkRDiwIefFy4l+Fp+/ABEZswbxKhIIewxoawFlDcTTmt6+AzxmibfvPAiU1QdMjcWPr98GfPcC/bplHGNgD2DAWGDzLqBlY+DMReBSKLDje1KbuhowyAlYslYc5KlTHfj0Wbyor7qq+M5NRREmvp8GvnwF3seLHysqigNDBWkXEf17GKgpYRUrVkSrVq1w8uTJAi0inJWSkhL09PRy3V6nTh3s27cPc+fOxYIFC2BkZIT58+dL3U7a19cXQ4YMgZ2dHQwMDLBw4ULJ4sPp0hcrrlu3LqysrODp6Yk2bdrket4aNWogKCgIs2bNQtOmTSEIAipVqgQnJycAgI6ODvz9/eHu7o5v377BwsICu3fvRtWqBQ/Z57eOjq+vLxYuXIhJkybh9evX0NXVha2tLdq1awcAaNiwIbZs2QI3Nze4u7ujVatWmD17NhYsWJDrMV1dXXHr1i0MHDgQCgoKmDBhwg/PpknXtWtXBAcHw8PDAwMHDkRcXBy0tbVRt27dHBcSbtVKnE+rpqYGY2Nj2NvbY9OmTYWeLkUla83YrXBZ0Btj1w6Bjr42Yt/E4eimU9gxP2O9Fl3DUtCvmNHvFZUUMGzpQOiVK43Er0l4ce8lZrVfhCsBNwp1br85exAfnYDe07vCyMwAn+I/48n1Z9i92L9I1xL1PBqz2y/GiOXO6DTSAbFv3mPdOB9c8M+4U827V7GY7rAQvy13xqZbyxDzOg4HVx3DXo8/i3ROIlliUaMiPPeNljwe7iZeF+3U/itYPmkXSutrQb9sxpyCty/jMNd5E4bN7YKOA5sg9m0CNrj742JAwW7vnW77smOIj/2EXiNbwbCiLj5/+Iond19h75pTRbqOgrRLSVkBzlPawbCCLr5+ScTVc2FYOn6HJJBE9LO69xBwHp+R1eqxVvx7F0cBi2cA72KByEw3SxXSgOWbgdeR4gyXCmWBicMAp04ZdWpXA7zmAiu3Aqu3iut4uQM1MyWJjxsM6OoAm3YCr94AmhriW38P61/0a+k2JOM67j0EjpwGyhoKOLO34O0iyuxnudX1z0gkFGWhDiL6z2ot17Okm0BEP4BC+ezrfxHRz+folWMl3QQi+gHkDB+VdBMKrWnXZSXdhCI5f3BySTchX7xnIhERERERERGRjODUJyIiIiIiIiIqHE7OKTbMqCEiIiIiIiIikhEM1BARERERERERyQgGaoiIiIiIiIiIZATXqCEiIiIiIiKiQuHtuYsPM2qIiIiIiIiIiGQEAzVERERERERERDKCU5+IiIiIiIiIqHA49anYMKOGiIiIiIiIiEhGMFBDRERERERERCQjGKghIiIiIiIiIpIRXKOGiIiIiIiIiAqFt+cuPsyoISIiIiIiIiKSEQzUEBERERERERHJCE59IiIiIiIiIqLCSePcp+LCjBoiIiIiIiIiIhnBQA0RERERERERkYxgoIaIiIiIiIiISEZwjRoiIiIiIiIiKhwuUVNsmFFDRERERERERCQjGKghIiIiIiIiIpIRnPpERERERERERIUi4tSnYsOMGiIiIiIiIiIiGcFADRERERERERGRjGCghoiIiIiIiIhIRnCNGiIiIiIiIiIqHIGL1BQXZtQQEREREREREckIBmqIiIiIiIiIiGQEAzVERERERERERDKCa9QQERERERERUaGIuERNsWFGDRERERERERGRjGCghoiIiIiIiIhIRnDqExEREREREREVDqc+FRtm1BARERERERERyQgGaoiIiIiIiIiIZAQDNUREREREREREMoJr1BARERERERFRoYgELlJTXJhRQ0REREREREQkI5hRQ0SFIqesUtJNIKIfIOXV65JuAhH9AG0rNSzpJhDRD3Dic0m3gGQJAzVEREREREREVDhpJd2AXxenPhERERERERERyQgGaoiIiIiIiIiIZAQDNUREREREREREMoJr1BARERERERFRofD23MWHGTVERERERERERDKCgRoiIiIiIiIiIhnBqU9EREREREREVDic+VRsmFFDRERERERERCQjGKghIiIiIiIiIpIRDNQQEREREREREckIrlFDRERERERERIXD23MXG2bUEBERERERERHJCAZqiIiIiIiIiIhkBKc+EREREREREVGhiDjzqdgwo4aIiIiIiIiISEYwUENEREREREREJCMYqCEiIiIiIiIikhFco4aIiIiIiIiICoe35y42zKghIiIiIiIiIpIRDNQQEREREREREckITn0iIiIiIiIiokIRpZV0C35dzKghIiIiIiIiIpIRDNQQEREREREREckIBmqIiIiIiIiIiGQE16ghIiIiIiIiosLh7bmLDTNqiIiIiIiIiIhkBAM1REREREREREQyglOfiIiIiIiIiKhwOPOp2DCjhoiIiIiIiIhIRjBQQ0REREREREQkIxioISIiIiIiIiKSEVyjhoiIiIiIiIgKRcTbcxcbZtQQEREREREREckIBmqIiIiIiIiIiGQEAzVERERERERERDKCa9QQERERERERUeFwjZpiw4waIiIiIiIiIqIcrFu3DqamplBRUYGNjQ3Onz+fa11/f3+0bt0aZcqUgZaWFmxtbXHixIlCn5OBGiIiIiIiIiKiLPbu3Yvx48dj1qxZuHHjBpo2bYq2bdsiIiIix/p///03WrdujWPHjiE0NBT29vbo2LEjbty4UajzigSB+Ur/Ne7u7jh06BBu3rxZ0k2hn5CD6oCSbgIR/QBpid9KuglE9APIqaqWdBOI6Ac48Xl7STeh0NrUn1/STSiSk1fmFrhugwYNUKdOHaxfv15SVqVKFXTp0gWLFy8u0DGqVq0KJycnzJ1b8PMyo+YnEx0djeHDh6NixYpQVlaGoaEhHBwccOnSpZJuGgCgefPmGD9+fEk344cQiUQ4dOhQiZ1fEARs3rwZtra20NLSgoaGBqpWrYpx48bhyZMnknru7u4QiUQQiURQUFCAnp4emjVrBm9vbyQmJkods3nz5pK6ysrKsLS0xKJFi5CamvpvXx7lwmlyR6y6MA8Hozdh74u1cNs3HuUtDPPcp0bTyjjx9fdsPxUsjSR15BXk0W9GF/jeW4a/3m/F+sv/Q93W1Yv7clC9SWWsuTgff73fCr/7Xmg/pEW2Ol1HO2DLLU8cjtuKHY+9MdyzHxSVFYu9bUTFTVVDBb+tcMGOZ+tw5PNOeF9YCMu6lfLcp0Yza6y96oGjX3Zi+5M16DC8tdR2eQV59J/TA9ser8bRLzux4cZS1HWoVYxXUbB2AYC6thrGrBmMPa834eiXndh6bwXqt61d7G0jKk4dhrTA+ssL4R+5Ef6RG7Hi7FzUbVMjz32qN7HCmgvz8FfsFvjdXYb2g+2ltnsGzMCJz9uz/cz/Y2JxXkq+7QKArqMcsOWGBw7HbMGOhysw3KMvx2T65SQmJuLDhw9SP1k/NwFAUlISQkND0aZNG6nyNm3aIDg4uEDnSktLw8ePH1G6dOlCtZGLCf9kunfvjuTkZGzbtg1mZmZ4+/Ytzpw5g7i4uH+1HcnJyVBU5B/t4iIIAvr27YtDhw5h5syZWLFiBfT19fHs2TOcOnUKCxcuhJ+fn6R+1apVcfr0aaSlpSE2NhaBgYFYuHAhfv/9dwQGBkJTU1NSd+jQoZg/fz6+ffuGI0eOYOzYsZCXl8e0adNK4EopqxpNK+OvDafxKPQp5BXk4eLeA4uOTMPQ2tOR+CX7AJKZa/Up+PLxq+RxwrsPkt9d3HugRZ9G8B7pg5cP36Bu6xqYu3c8JtjPR/itF0Vu66TNw+BcOec3lgbGZbDw0GQE+J6Dh+sGVLW1wOiVLkiI+YALh64BAOx7N4Lrgl5YPmIL7l96jHIWhpi8eRgAYOPUnUVqF5GsmLj5N5hUqwCPgasR++Y9WvZvCs9TczG46gTEvsk+bhua6GPh0RkI2HIGHgNWoWpjK4xZOxTx7z7ggv9lAMCghb3Rsl8zrBi2AREPXqOuQy24+0/BuMazEH7zeZHaWcPOGlN8R2GA2agctxekXQqKCvA4OQfx0R+woKcX3r2KRZkKevia6W8S0c/o3es4+Mzdhzfh0QCA1v2awH3veIxqNAcvwl5nq29grIeF/pMR4BcIj8EbUbWhBUZ7OyMh5iMu/Cke+xb0XQUFpYyPYVqlNbA+ZCHOH7xS5HbWaFoZkzYOhbP1pBy3F6Rd9k62cJ3fE8t/24r7Id/H5I1DAQAbp+0qctuIZM3ixYsxb948qTI3Nze4u7tLlcXExCA1NRUGBgZS5QYGBoiKiirQuby8vPD582f06tWrUG1kRs1PJD4+HhcuXICHhwfs7e1hbGyM+vXrY8aMGWjfvr2kXkREBDp37gwNDQ1oaWmhV69eePv2ba7HvXr1Klq3bg09PT1oa2vDzs4O169fl6ojEomwYcMGdO7cGerq6li4cGGRrmHatGmwtLSEmpoazMzMMGfOHCQnJ0u2u7u7o1atWvDx8UHFihWhoaGB3377DampqfD09IShoSH09fXxv//9L1v71q9fj7Zt20JVVRWmpqbYv3+/ZHtSUhJGjx4NIyMjqKiowMTEpMCpajlJS0vD/PnzUb58eSgrK6NWrVo4fvy4ZHv37t0xZswYyePx48dDJBLh3r17AICUlBRoamrmurDU3r17sWfPHuzduxdz5sxBw4YNYWZmhpYtW2LJkiXw9fWVqq+goABDQ0OULVsW1atXx5gxYxAUFIS7d+/Cw8NDqq6amhoMDQ1hYmKC0aNHo2XLliWaOUTSZnVeilM7zuNF2Gs8vRMBr+GbYVBRDxa1TfLdN/7dB7x/myD5SUvLmNnasm9j7PH8C1dP3ELU83c4svkMQk/fQfdxbaWO0XNie/jd98LhOHHWTZOu9Yp8LR2GtkD0yxhsmLITLx++wXG/IJzcFoTu49tJ6lg3MMe9S49xbu8lvI2IwfUzdxG47xIs65gW+bxEskBJRQlNuzfA5mk7cOd8GN6ER+H3efsR9SwaHX9rk+M+HUa0xruIGKyf4IeIB68RsPUsTvieRc9JnSR1WvVvht2L/XEl4AainkXjyIaTuHbiJnpM7Ch1rF5TOmH7kzU48lmcddO0e8MiX0tB2uXoag/N0hpw6+qJe8EPER0Rg3sXH+Dp7aIFgolkxeWAm7h64jZeP4nC6ydR8Jt3AN8+fUPlejlnx3UY0gLRL2OxYer3sW9bEE5u/xvdx2WMfR/ff5Yar+u0qIZvX5Lwt790oKbnhHbwu7sMh2O2YH3IQjTp8g/G5AK0y7q+Oe6FPMa5fZnG5P0hsKzNMZl+LTNmzEBCQoLUz4wZM3KtLxKJpB4LgpCtLCe7d++Gu7s79u7dC319/UK1kYGan4iGhgY0NDRw6NChHFOzAPGLpkuXLoiLi0NQUBBOnTqF8PBwODk55Xrcjx8/wtnZGefPn0dISAgsLCzQrl07fPz4Uaqem5sbOnfujDt37sDV1bVI16CpqQk/Pz/cv38fK1euxObNm7FixQqpOuHh4QgICMDx48exe/du+Pj4oH379nj16hWCgoLg4eGB2bNnIyQkRGq/OXPmoHv37rh16xb69++PPn36ICwsDACwatUqHD58GPv27cPDhw+xY8cOmJiYFOkaAGDlypXw8vLCsmXLcPv2bTg4OKBTp054/PgxAPEUo8DAQEn9oKAg6OnpISgoCIA4OPbt2zc0btw4x+Pv3r0bVlZW6NSpU47bC/KHoXLlymjbti38/f3zrKeqqioVLCPZoq4lXnvg4/vP+dZdF7IQu56uxpJj01GzWRWpbYpKCkj6Jv3/nPg1CVUbWUoeu7j3QJsBTbF6rB+G1ZkO/9XHMc1nBKo3qVyktldpYI7QM3elyq6dvgPLOqaQV5AHANwNfgSL2iawqmsGADA0KYN6DjVx+fjNIp2TSFbIK8hBXkEeyd+SpMoTvyahWuOc+1SVhpYIPXVbquzaiVuwrGsm6TOKyorZ+nLS1yRUy9RPBy3sAwcXe6wauRlDqk2Av/dRTP99DGo0sy7StRSkXbYd6+L+pUcYs3YI9kVuxqbbXugzoyvk5PhWk34dcnIi2PVoAGV1ZYRdeZJjnSr1zRF69o5UmXjsM5H0l6wcnJsh6EAIEr9k/L1wceuBNv2bYfX4bRhWdwb81xzHtK3DUb2JVZHaXpB23b30CBa1TGBlk2lMblMTl0/cKtI56dcnEoSf8kdZWRlaWlpSP8rKytmuT09PD/Ly8tmyZ6Kjo7Nl2WS1d+9eDB48GPv27UOrVq0K/dxy6tNPREFBAX5+fhg6dCg2bNiAOnXqwM7ODr1790aNGuK5sqdPn8bt27fx7NkzVKhQAQDw+++/o2rVqrh69Srq1cseiW/RQnrNiI0bN6JUqVIICgpChw4dJOV9+/YtcoAm3ezZsyW/m5iYYNKkSdi7dy+mTp0qKU9LS4OPjw80NTVhbW0Ne3t7PHz4EMeOHYOcnBysrKzg4eGBwMBANGyY8Q1hz549MWTIEADAggULcOrUKaxevRrr1q1DREQELCws0KRJE4hEIhgbG/+j61i2bBmmTZuG3r17AwA8PDxw7tw5eHt7Y+3atWjevDnGjRuHmJgYyMvL4969e3Bzc0NgYCBGjhyJwMBA2NjYQENDI8fjP3r0CFZW0gPx+PHjsWXLFgCAjo4OXr16lW87K1eujJMnT+a4LS0tDSdPnsSJEydyXVcoMTExW1AwTUiFnCjnNxr04w3z6Ie7Fx/ixf3c/7/jouLhPXIrHt94BkVlRbTs0xhLAqZjSptFuHvxIQCIs2fGOuLOhQeIfBqN2vZVYduhDuTkxR+ilNWU0W1sW0xruxhhl8VvPqOev0PVRpZoP8Qedy48KHTbSxloI/5tglRZfPQHKCgqQFtPA3FRCQjaHwJtPU14nZkDkUg8feKvjaexb9mRQp+PSJZ8/fQN94Ifot/sHogIe433bxNg36cxKjcwx+vHOadLlzbUwbW38VJl79/Gf+8zmoiLise1E7fQfUIH3Pn7Pt6Ev0XtltVh27mepC+rqCmj+4QOmNJyHsJCHgEAop5Fo1qTymg/rDVu/32/0NdSkHYZmhmgVotqOLPrAma1X4xyFoYYs2YI5BXksWPBgUKfk0iWmFQtD++zc6Gkooivn75hfp+ViHjwJse6pQx0EP9WOiASH50gNfZlZmVjBtOqFbDit62SMmU1JXQb44hp7ZZIAkJRz9+hqq0l2g9ugTsXHhb6GgrSrqADl6GtpwWv07MzxuRNZ7DPi2My/TcpKSnBxsYGp06dQteuXSXlp06dQufOnXPdb/fu3XB1dcXu3bulZr4UBgM1P5nu3bujffv2OH/+PC5duoTjx4/D09MTW7ZsgYuLC8LCwlChQgVJkAYArK2toaOjg7CwsBwDNdHR0Zg7dy7Onj2Lt2/fIjU1FV++fMl2y7G6dev+4/YfOHAA3t7eePLkCT59+oSUlBRoaWlJ1TExMZFaU8XAwADy8vJS38oZGBggOjpaaj9bW9tsj9PvbOXi4oLWrVvDysoKjo6O6NChg2RRqBEjRmDHjh2S/T59+pTnNXz48AFv3rzJlg3TuHFj3Lol/sahWrVq0NXVRVBQEBQVFVGzZk106tQJq1atAgAEBgbCzs4uz/NkzZqZNWsWRo8eDX9/fyxatCjPfdPllJa3bt06bNmyBUlJ4m9tBgwYADc3txz3z2n+ppl8dZgr1izQ+emfGbXCGabVK2BSywV51nv1OAqvMn3wC7v8BGXK66LH+HaSQM36yTswft1gbLnlCQgC3jyNxsnt59FmYFMAgHGVslBWVcLiI9JrFSkoKUitYXPo3WbJ73LyclBUVpAqu3vxIWZ3WSZ5nO2+giLp8hpNK6PP1E5YM84PD66Go2wlA/y2rD/iouKxa8mfeT9BRDLOY+BqTN46Enteb0JqSioeX3+Gs7suwKKOWa77ZL0ZZ/rf8PTideN9MWHTcGwNWynuy+FvcdLvHNq4iBcFrWhdHsqqSvA4OUfqOApKCnhy45nk8eEPv0t+T+/LmcvunA/DrPYZY01+7ZKTEyE++gO8h21EWloaHl9/Ct2ypdFzcicGauin9+pRJEbazoa6tjqadKmLyRuHYYrjolyDNQKyDH5Z+ktmDs7N8OzeSzwMfSopM65cTjwm/zVVqm62MfntJsnvkjE5U9nd4IeY3dWrwO0Sj8kdsWb8Njy4Fo6yZgb4ben3MdmDYzL9N02cOBEDBgxA3bp1YWtri02bNiEiIgIjRowAIJ5G9fr1a2zfLr5r1+7duzFw4ECsXLkSDRs2lGTjqKqqQltbu8DnZaDmJ6SiooLWrVujdevWmDt3LoYMGQI3Nze4uLjkOl8ur3l0Li4uePfuHby9vWFsbAxlZWXY2tpKPsinU1dX/0ftDgkJQe/evTFv3jw4ODhAW1sbe/bsgZeXl1S9rIsUi0SiHMvS0tLyPWf6NdepUwfPnj1DQEAATp8+jV69eqFVq1Y4cOAA5s+fj8mTJxf6evKaqygSidCsWTMEBgZCSUkJzZs3R7Vq1ZCamoo7d+4gODg4z7tjWVhY4MED6QyGMmXKoEyZMoWa3xgWFgZTU+l5xf369cOsWbOgrKyMsmXLQl4+9+yYGTNmYOJE6YViu+uPKPD5qehGLh8A2w61ManV/xDz+n2h939w5Qla9GkkeZwQ8xHzenlDUVkRWroaiH3zHoMXOuHt83cAANH3QOicrl7ZFjlNTkrJaFeDWZLfreqbY/BCJ0xtk7FmVGKmKRnv3yaglKH0gKRTRgspySn4ECsOiDq79cCZ3Rdx3E88LfD5vVdQUVPGuLWu2O1xONuHQ6KfSeTTt5hk7wYVNWWoaakiLioes3ZPQNSz6Bzrx0XFo7RhKakyHX3t731GPB05IeYD3Lst/d6XNRH7Jg5DlvSTHFNOTjwOze6wGDGvs/TlxIz+OaL2FMnvlRuYY8iS/phs7y4pS/ya8R6gIO2Ki4xHSnKK1NgcEfYKukaloKCogJTkFBD9rFKSU/HmqbiPPb7xDFY2Zugysg1WjfXLVvf923iUMsh77EunrKqE5j0aYvtC6Wnqou/9eE53L8S+kX4PkJyYaUy2zchUt6pXCYMXOGGqY0aANfFr5jE5/3Y5z+mOM7uDcXxbpjFZXRnjVg/Cbk+OyZSD/8BrwsnJCbGxsZg/fz4iIyNRrVo1HDt2TDJDIzIyUirBYePGjUhJScGoUaMwalTGIv3Ozs5SN4PJDwM1vwBra2vJYrDW1taIiIjAy5cvJVk19+/fR0JCAqpUqZLj/ufPn8e6devQrp14MbGXL18iJibmh7fz4sWLMDY2xqxZGR/0Xrz4cYsMhoSEYODAgVKPa9fOuC2olpYWnJyc4OTkhB49esDR0RFxcXHQ19cvVPBDS0sLZcuWxYULF9CsWTNJeXBwMOrXry953Lx5c2zatAlKSkqYP38+RCIRmjZtimXLluHr16+5rk8DAH369EHfvn3x559/5plWl5cHDx7g+PHj2RbG0tbWhrm5eYGOoaysnG2+Jqc9Fb9RKwaiUScbTGmzCG9fvCvSMSrVMs6WXg2IP6jFvnkPeQV5NOlSD3//Ib5jS0TYayR9S4J+Bd08pzmlv1EFAL1ypZGakipVllnY5Sdo0E761rw2Lavj0fVnSE0R3xJeWVUJQpr0IJ+Wlvb9NvL/ifGf/gO+fUnEty+J0NBRR12Hmtg8bUeO9cJCHqFhB+nsVZs2NfHo2lNJn0kn7stx4r7crSH+3i++TeiL+6/EfbmiXp7TnN6EZ2Th6ZX/3pfDc56SVZB23Qt+APs+4unF6R/myluWReybOAZp6NcjQq63rA678gQN2mYd+6rh0fXn2fpxs+71oaisgDN7pG/zG/HgTaYxOfdpToUakwvQLmU1JQhZvghNS+WYTDRy5EiMHDkyx21Zgy+Z1yn9Jxio+YnExsaiZ8+ecHV1RY0aNaCpqYlr167B09NT8mG+VatWqFGjBvr16wdvb2+kpKRg5MiRsLOzy3Xqkrm5OX7//XfUrVsXHz58wJQpU6Cqqlrkdr57904y5SidoaEhzM3NERERgT179qBevXo4evQoDh48WOTzZLV//37UrVsXTZo0wc6dO3HlyhVs3Sqe77tixQoYGRmhVq1akJOTw/79+2FoaAgdHZ08j/ns2bNs12Jubo4pU6bAzc0NlSpVQq1ateDr64ubN29i586M2wmnr1OjoKCApk2bSsomTZqEOnXqZJvylVnv3r3h7++P3r17Y8aMGXBwcICBgQFevHiBvXv3ZsuCSUlJQVRUVLbbc9eqVQtTpkzJ5Swki0Z7O8PeyRbuPb3x9dM3ybdfnxO+SBYQHTS/F/TKlsLSIRsBAF1HOyDqRQxe3H8FRSUFtOjTGE271sf83islx7WqVwl6ZUsh/NYL6JUrhf6zukEkJ8K+5UcBiNfTOOAdgOGe/SCSE+Fe8COoaanCuqEFvn76htM7LxT6Wo5sPotOI1pjmEdfBPgEokoDczi42GGJ81pJnZBjN9BtbFs8ufUCD66Eo1wlAzjP7YGQo9el7lpF9DOq26YmIBLh1cM3KGtuiGGeA/Dy4Ruc8D0HAHBd1Bd6ZUvD02UNAODIhlPoNMoRw72cEbD5NKrYWsLRtQUW9fWWHLNyfXPolSuNJzefQ69caQx06wU5ORH2eoqnJXz99A37vf7CiOXOEMmJcPfCA6hpqaJqIyt8/fQNp7YHFfo6CtKuv9afROfRbTFy5SAcWh2AchZG6DOjKw6tDij6E0gkAwa598DVk7fx7lUcVDVV0LxHQ9RoWgWzuywVb5/XUzwmDxVPOTqy5Sw6DW+NYUv6IsD3+9jnbIclLuuyHdtxoB2C/7qOj3HSmTZfP33DgZUBGL6kH0RychljcgNzfP2cWLQxuQDtCjl2E93GOIrH5Kvfx+Q53RFy9AbHZKJ/GQM1PxENDQ00aNAAK1asQHh4OJKTk1GhQgUMHToUM2fOBCCecnPo0CGMGTMGzZo1g5ycHBwdHbF69epcj+vj44Nhw4ahdu3aqFixIhYtWlSkqUDpdu3ahV27dkmVpd+XfsKECRg9ejQSExPRvn17zJkzJ9v96otq3rx52LNnD0aOHAlDQ0Ps3LkT1tbiO1xoaGjAw8MDjx8/hry8POrVqydZnDgvWaf9AMC5c+cwduxYfPjwAZMmTUJ0dDSsra1x+PBhWFhYSOpVq1YNenp6MDY2lgRl7OzskJqaWqD1afbu3YvNmzfD19cXnp6eSE5ORvny5dGyZUssX75cqv69e/dgZGQEeXl5aGtrw9raGjNmzMBvv/2W4wrmJLs6DhevCr/s1Cyp8mVDN+HUjvMAxAt7lqmgK9mmoKSAYYv7QLdsKSR9TcKLsNeY3WUZrma6S4OSsiKc3XrAyLQMvn5KxNUTt+A5eAM+J3yR1Nk27wDi331A7ykdYWiqj8/xX/Dk5nPs9jxcpGt5++IdZndZhuGe/dBxeCvERcZj/aTfceHQNUmdXUv+hCCI726hW7YUEmI+IOToTfi57y/SOYlkiZq2GgYv6gu98rr4GPcJF/wvw2fWbsm317qGpaBfUU9SP+p5NGa3X4wRy53RaaQDYt+8x7pxPrjgf1lSR0lFCS4L+sDITB9fP33DlWM34DFwtVRf9puzB/HRCeg9vSuMzAzwKf4znlx/ht2L874LYG4K0q53r2Ix3WEhflvujE23liHmdRwOrjqGvVzXgn5yOvramLJlOEob6uDLh694dvclZndZiutn7wH4PiaXzxiT376IwexuyzDcox86DmspHvsm/44Lf16TOm45c0NUa2yFGR09cjzvtvl/iMfkSR1guEYfnxO+j8lL/yrSdRSkXbs8/oQgCHCZmz4mf0TIsRvwm8d1poj+bSKBkw3pFyASiXDw4EF06dKlpJvyy3NQHVDSTSCiHyAt8VtJN4GIfgC5f5AFTUSy48Tn7SXdhEJzsMn5hiSy7kTovPwrlbC80wmIiIiIiIiIiOhfw0ANEREREREREZGM4Bo19EvgDD4iIiIiIqJ/UVr+VahomFFDRERERERERCQjGKghIiIiIiIiIpIRDNQQEREREREREckIrlFDRERERERERIUi4jqhxYYZNUREREREREREMoKBGiIiIiIiIiIiGcGpT0RERERERERUOJz6VGyYUUNEREREREREJCMYqCEiIiIiIiIikhEM1BARERERERERyQiuUUNEREREREREhcM1aooNM2qIiIiIiIiIiGQEAzVERERERERERDKCU5+IiIiIiIiIqHA49anYMKOGiIiIiIiIiEhGMFBDRERERERERCQjGKghIiIiIiIiIpIRXKOGiIiIiIiIiAonraQb8OtiRg0RERERERERkYxgoIaIiIiIiIiISEYwUENEREREREREJCO4Rg0RERERERERFYpIEEq6Cb8sZtQQEREREREREckIBmqIiIiIiIiIiGQEpz4RERERERERUeFw6lOxYUYNEREREREREZGMYKCGiIiIiIiIiEhGMFBDRERERERERCQjuEYNERERERERERVOGteoKS7MqCEiIiIiIiIikhEM1BARERERERERyQhOfSIiIiIiIiKiwuHtuYsNM2qIiIiIiIiIiGQEAzVERERERERERDKCgRoiIiIiIiIiIhnBNWqIiIiIiIiIqHC4Rk2xYaCGiAolLfFbSTeBiH4EEZNqiX4FcpoaJd0EIiL6wfgujYiIiIiIiIhIRjCjhoiIiIiIiIgKh1Ofig0zaoiIiIiIiIiIZAQDNUREREREREREMoKBGiIiIiIiIiIiGcE1aoiIiIiIiIiocNK4Rk1xYUYNEREREREREZGMYKCGiIiIiIiIiEhGcOoTERERERERERWOkFbSLfhlMaOGiIiIiIiIiEhGMFBDRERERERERCQjGKghIiIiIiIiIpIRXKOGiIiIiIiIiApH4O25iwszaoiIiIiIiIiIZAQDNUREREREREREMoJTn4iIiIiIiIiocNI49am4MKOGiIiIiIiIiEhGMFBDRERERERERCQjGKghIiIiIiIiIpIRXKOGiIiIiIiIiAqHt+cuNsyoISIiIiIiIiKSEQzUEBERERERERHJCE59IiIiIiIiIqLC4dSnYsOMGiIiIiIiIiIiGcFADRERERERERGRjGCghoiIiIiIiIhIRnCNGiIiIiIiIiIqHK5RU2yYUUNEREREREREJCMYqCEiIiIiIiIikhEM1BARERERERERyQiuUUNEREREREREhZOWVtIt+GUxo4aIiIiIiIiISEYwUENEREREREREJCM49YmIiIiIiIiICoe35y42zKghIiIiIiIiIpIRDNQQEREREREREckIBmqIiIiIiIiIiGQE16ghIiIiIiIiosLhGjXFhhk1MsDd3R21atUq6WYQABcXF3Tp0kXyuHnz5hg/fnyJtYeIiIiIiIj+Wxio+Yeio6MxfPhwVKxYEcrKyjA0NISDgwMuXbpU0k0D8GsFGkQiEUQiEUJCQqTKExMToaurC5FIhMDAwB96Tn9/fyxYsOCHHrMw/vjjD7Ro0QKlSpWCmpoarKys4Orqihs3bkjq+Pn5SZ4beXl5lCpVCg0aNMD8+fORkJAgdTwXFxdJXUVFRZiZmWHy5Mn4/Pnzv31plIfqTatg/p/TsOfVRpxK249Gnevlu0+nkQ7Yem8FjnzeCZ+wlWg1oFm2Ol3HtYNP2Eoc+bwTO1+sx4jlzlBUViyOS5Co0cwaa6964OiXndj+ZA06DG8ttX3ZWXecStuf7WfhXzOKtV1Exe338NU4lbo328+Y1a657tPptzbYenc5jnz6HT73V2Trx/IK8ug/uzu2PVqJo59/x4brnqjrULO4LwU1mlXB2iuLcfTz79j+eBU6DG8ltX3Zmbk5XuvCv6YVe9uIipucvBwGTusI3yvzceiZN3wuz0ffiW0hEony3K+6rQVWnZiOP5+vhM/l+Wg3sKnU9opWRpi1ZSj8ri5AQNQ6dBlqX5yXUeB2AUCXofbYfMENh555Y3vo/zBsXncoKnMiBtG/iT3uH+revTuSk5Oxbds2mJmZ4e3btzhz5gzi4uL+1XYkJydDUbF4P3DJggoVKsDX1xcNGzaUlB08eBAaGhrF8pyXLl36hx+zoKZNmwYvLy+MHTsW8+bNQ/ny5REREYELFy5g5syZCAgIkNTV0tLCw4cPIQgC4uPjERwcjMWLF8PX1xcXL15E2bJlJXUdHR3h6+uL5ORknD9/HkOGDMHnz5+xfv36krhMyoGKujKe3n6Bk37n4PbHlHzrdxjRBq6L+mLFsI14ePUJKtc3x4RNI/Dp/WeEHAkFALTo2wRDFvfDssHrcT/4IcpbGmGK7ygAwIaJ24rUzhp21pjiOwoDzEbluN3QRB8Lj85AwJYz8BiwClUbW2HM2qGIf/cBF/wvAwDmdV8GBaWMoUhLVwMbby7D3wdkI9hNVFSjG8yEnHzG92Em1SrC8+RsBB0IybF+hxGt4bqoD1YM34SHV8PF/XjjMHx6/wkhR64DAAYtcELLfk2xYvhGRDx4g7oONeH+x2SMazIH4TefF6mdNeysMcXnNwyoNCbH7YYmZbDwyHQEbDkLj4FrxP14zeDv/fgKAGBeD68s/VgTG2944u9crpXoZ9JrdBu0G9gUXuO248XDN7CsaYwJ3gPw+cM3/LnlXI77GFTUxfydI3F8x0UsHe0H63pmGLWkNxJiP+Li0ZsAABVVJURFxODCX9cxbH6PH9LW6o0sMGnlQLjUm1Pkdtl3q4dBs7pgxYTfcf/aU5Q3M8DElQMAAJvc/vgh7aRfSBqnPhUXZtT8A/Hx8bhw4QI8PDxgb28PY2Nj1K9fHzNmzED79u0l9SIiItC5c2doaGhAS0sLvXr1wtu3b3M97tWrV9G6dWvo6elBW1sbdnZ2uH79ulQdkUiEDRs2oHPnzlBXV8fChQuLdA3Tpk2DpaUl1NTUYGZmhjlz5iA5OVmyPX1alo+PDypWrAgNDQ389ttvSE1NhaenJwwNDaGvr4///e9/2dq3fv16tG3bFqqqqjA1NcX+/fsl25OSkjB69GgYGRlBRUUFJiYmWLx4cb7tdXZ2xp49e/D161dJmY+PD5ydnbPVff36NZycnFCqVCno6uqic+fOeP78uWR7amoqJk6cCB0dHejq6mLq1KkQssyzzJqRJBKJcOjQIak6Ojo68PPzAwA8f/4cIpEI+/btQ9OmTaGqqop69erh0aNHuHr1KurWrQsNDQ04Ojri3bt3uV5nSEgIPD09sXz5cixfvhxNmzaFqakp7OzsMGvWLBw7dkyqvkgkgqGhIYyMjFClShUMHjwYwcHB+PTpE6ZOnSpVNz3zq0KFCujbty/69euX7ZqoZF09fhN+c/bgwsErBarfqn8zHN10GkH7ghH1LBqBe4Nx3OcsnKZ2kdSxtrXCvYsPcW73Bbx98Q6hp27j3J6LsLSpJHWsXlM6YfuTNTjyeSc23FiKpt0boqg6jGiNdxExWD/BDxEPXiNg61mc8D2LnpM6Sep8fP8J79/GS37qtK6Bb18S8fd+Bmro55YQ8xHv3yZIfhq2r4PXT6JwO+h+jvVb9Wv6vR9fytSPz8FpSueMOv2bYvfig7gScBNRz6JxZMMpXDt5Cz0mdpA6Vq/JnbD98Soc+STOumnavUGRr6PD8NZ4FxGL9RO3ZerH59BzYkdJnY/vP0tda51W6f2YgRr6+VWua4qQE7dx9fRdRL+Mw4UjN3A9MAwWNSvmuk/7gU0R/eo9Ns49gJePo3BiVzBO7r6E7r9lZKM9uvkCW+cfRNCfoUhOSsn1WD1GtYbPZXE2z9ozM9GkQ+0iX0tB2lW5rinuXw1H4MFriH4Zh+tBYQg8dA0WNY2LfF4iKjwGav4BDQ0NaGho4NChQ0hMTMyxjiAI6NKlC+Li4hAUFIRTp04hPDwcTk5OuR7348ePcHZ2xvnz5xESEgILCwu0a9cOHz9+lKrn5uaGzp07486dO3B1zT2VOi+amprw8/PD/fv3sXLlSmzevBkrVqyQqhMeHo6AgAAcP34cu3fvho+PD9q3b49Xr14hKCgIHh4emD17drYpSXPmzEH37t1x69Yt9O/fH3369EFYWBgAYNWqVTh8+DD27duHhw8fYseOHTAxMcm3vTY2NjA1NcUff4gj+i9fvsTff/+NAQMGSNX78uUL7O3toaGhgb///hsXLlyQBEiSkpIAAF5eXvDx8cHWrVtx4cIFxMXF4eDBg0V6HrNyc3PD7Nmzcf36dSgoKKBPnz6YOnUqVq5cifPnzyM8PBxz587Ndf/du3dDQ0MDI0eOzHF7fum2AKCvr49+/frh8OHDSE1NzbWeqqqqVHCOfj6KyopI+pYkVZb4NQlW9c0hryAPALh7IQwWNmawqmcOADA01Uf9trVx+VhGEHjQwj5wcLHHqpGbMaTaBPh7H8X038egRjPrIrWrSkNLhJ66LVV27cQtWNY1k7Qrq7auLRG4NxjfvuT8N5XoZ6SgKI+W/ZrghG/O374D6f1Y+m9x1n6sqKyIpETpOklfk1CtsZXk8aAFTnBwaY5Vo7ZiSPVJ8F95FNO3j0aNZlWK1HZxP74lVXbtZH792J79mH4Z9y6Ho1ZTK5Qz0wcAmFqXQ9UGlXD1zL1c96lsY4rrQWFSZdcD78OipjHkFQr+8ct5eie0drLFmmm7McJuAQ5uOospa1xQ3daiSNdSkHbdvxwO8xoVYVlbHJgxrKiLei2q4crpu0U6JxEVDac+/QMKCgrw8/PD0KFDsWHDBtSpUwd2dnbo3bs3atSoAQA4ffo0bt++jWfPnqFChQoAgN9//x1Vq1bF1atXUa9e9rUnWrRoIfV448aNKFWqFIKCgtChQ8a3Zn379i1ygCbd7NmzJb+bmJhg0qRJ2Lt3r1QWRlpaGnx8fKCpqQlra2vY29vj4cOHOHbsGOTk5GBlZQUPDw8EBgZKTUnq2bMnhgwZAgBYsGABTp06hdWrV2PdunWIiIiAhYUFmjRpApFIBGPjgkfpBw0aBB8fH/Tv3x++vr5o164dypQpI1Vnz549kJOTw5YtWyRBDV9fX+jo6CAwMBBt2rSBt7c3ZsyYge7duwMANmzYgBMnThT+SczB5MmT4eDgAAAYN24c+vTpgzNnzqBx48YAgMGDB0uycHLy6NEjmJmZQUEho4suX75cKrjz+vVraGtr59mOypUr4+PHj4iNjYW+vn627VeuXMGuXbvQsmXLHPdPTEzMFoRME1IhJ8r5zTmVjNCTN9F2cEsEH7qKx9efwtLGDI6D7KGopABtPU3ERcUjcG8wtMtoYcX5BRCJAAVFBRxefwJ7PQ4BAFTUlNF9QgdMaTkPYSGPAABRz6JRrUlltB/WGrf/zjkLIC+lDXVw7W28VNn7t/FQUMxoV2ZW9cxhWr0ivIZwGh79Whp1qQcNHXWc3BaUa53Qk7fQdnALBP95FY+vP/vej5tL9eNrJ2+h+/j2uPN3GN6Ev0XtltVg26muZIqVpB+3mo+wkMcAvvfjxpXRflgr3P47LNfz56a0oTauvZVe7+z924Q8+nElcT8euqHQ5yKSRfvXnIS6lio2XZiLtFQBcvIibFv8F4IOXct1n1L6Woh/90Gq7P27j1BQlIdWaQ28j/6Qy54ZlNWU0HV4C0zvsRIPQp8BAKIiYlG1fiW0HdAEdy49LvS1FKRdQX+GQltPE8v+nASRSAQFRXkc8fsb+9ecLPT5iKjoGKj5h7p374727dvj/PnzuHTpEo4fPw5PT09s2bIFLi4uCAsLQ4UKFSRBGgCwtraGjo4OwsLCcgzUREdHY+7cuTh79izevn2L1NRUfPnyBREREVL16tat+4/bf+DAAXh7e+PJkyf49OkTUlJSoKWlJVXHxMQEmpqakscGBgaQl5eHnJycVFl0dLTUfra2ttke37x5E4B4UdvWrVvDysoKjo6O6NChA9q0aQMAGDFiBHbs2CHZ79OnT1LH6d+/P6ZPn46nT5/Cz88Pq1atynZdoaGhePLkiVS7AeDbt28IDw9HQkICIiMjpdqooKCAunXrZpv+VBTpgTpA/NwAQPXq1aXKsj5fWWXNmnF1dUWnTp1w+fJl9O/fv0DtTK+T+VhHjhyBhoYGUlJSkJycjM6dO2P16tU57r948WLMmzdPqswUVVAJVfM9N/17diz4A6UMdbDq0v8gEonw/m0CTm4LhNPULkhLTQMgXoei78zuWD1qM8IuP0E5c0OM9B6EuMj32LnwD1S0Lg9lVSV4nJSe166gpIAnN55JHh/+8Lvkdzl5OSgqK0iV3TkfhlntF0keZ32dpr8Wc3r5Og5ugWd3IvDw6pOiPxlEMqitawtcOX4TsZHvc62zY+H3fhy8MFM/DoLT1M6SfrxuvB8mbBqOrfdXAIKAN+FvcdIvEG1cmgNARj8+MVvq2Nn6cULGulSSfpyp7M6FMMxqv0TyOGt/zejH2Tuyo2t6Pw7P51kh+jnYdbZBi+714fmbL148jIRZtfIYPr8H4t7G4/S+y7nul73fpG8o2HmNLY2grKqERfuk149SUFRA+N2Xksf+4cslv8vJiftz5rK7l8Mxt+/aArereiMLOI1zwNrpe/Dw+nOUNS2D4Qt6Im5CW+xeEQCizAQhraSb8MtioOYHUFFRQevWrdG6dWvMnTsXQ4YMgZubG1xcXCAIQo7TVHIrB8RBjHfv3sHb2xvGxsZQVlaGra2tZMpOOnV19X/U7pCQEPTu3Rvz5s2Dg4MDtLW1sWfPHnh5eUnVy7pIcfodg7KWpaXl31HTr7lOnTp49uwZAgICcPr0afTq1QutWrXCgQMHMH/+fEyePDnXY+jq6qJDhw4YPHgwvn37hrZt22abFpaWlgYbGxvs3Lkz2/5Zs28KQyQSZXtjmtO0oczPT/o1Zy3L6/mysLDAhQsXpBaJ1tHRgY6ODl69elXg9oaFhUFLSwu6urqSMnt7e6xfvx6KioooW7ZsnotQz5gxAxMnTpQq66rtUuDz078j6VsSvAavh/fwTShloI24yHi0G9YKnz98QUKMuG+4zO+N0zv+RsDWswCA53cjoKKujPEbh2PX//whJyd+nc7usBgxr6UX5k7ONNViRO2MxY0rNzDHkCX9MdneXVKW+DXj71RcVDxKG5aSOpaOvjZSklPwIVa6zyqrKsHeqTG2ue39B88EkezRr6iH2i2rY14PrzzrJX1LhteQDfAesfl7P36frR8nxHyEe7dlUFRWhJauBmLfvMeQxX0R9Uwc+Jf0445LcujHGWtgjKiTkTVbuYEFhizui8ktMoLy0v04AaUNpbM3dfS1vvdj6S9SxP24Eba57cv3eSH6WQye2w371pxA0J/ixfmfP3gD/fKl0WuMQ66BmvfRH1BKX/qLTx09TaQkp+LD+0857pNV+vtHt/7rERMZL7Ut85o2o1pmrPFYuY4JXGd3wdRu3pKyzFOjC9KugVM74uyBKzixK1hyvcpqyhi7tC/2eB//IV9oElH+GKgpBtbW1pLFWa2trREREYGXL19Ksmru37+PhIQEVKmS83zx8+fPY926dWjXrh0A8TosMTExP7ydFy9ehLGxMWbNmiUpe/HixQ87fkhICAYOHCj1uHbtjAXQtLS04OTkBCcnJ/To0QOOjo6Ii4uDvr5+jtN0MnN1dUW7du0wbdo0yMtnn4ZTp04d7N27F/r6+tkyhNIZGRkhJCQEzZqJb3+akpKC0NBQ1KlTJ9fzlilTBpGRkZLHjx8/xpcvX/Jsa1H06dNHMk1s3LhxRTpGdHQ0du3ahS5dukhlP6mrq8Pc3LxAx1BWVoaysrJUGac9ya7UlFTJhzN7p8a4fOS65A2VspoyhCzBwbTUNMnt2l/cf4Wkb0nQr6iX5zSnN+FRkt/1ypdGakqqVFlmYSGP0LCDdOafTZuaeHTtKVJTpNdNsuvVCIrKCji94++CXzDRT8DBpTnioxNw+ej1/CsjSz/u1QiXj17P/gVBYjJi37yHvII8mnRrIFl8W7of5z7N6U14xg0N9Mrrfu/HOd/kQNyPbaTKbFrXyKUf24r78c7zBbpWop+BsqoihCx3tklLFSCSy329wAehz9CgTXWpsjrNq+DxrRdITSlYBkLEo0gkfUtGmXKl8pzmFPk84+YUemV1kJqaJlVW2HYpqyrlcL1pEInE2TeM0xD9Oxio+QdiY2PRs2dPuLq6okaNGtDU1MS1a9fg6emJzp3Fd2lo1aoVatSogX79+sHb2xspKSkYOXIk7Ozscp26ZG5ujt9//x1169bFhw8fMGXKFKiqqha5ne/evZNMOUpnaGgIc3NzREREYM+ePahXrx6OHj36wxbTBYD9+/ejbt26aNKkCXbu3IkrV65g69atAIAVK1bAyMgItWrVgpycHPbv3w9DQ0Po6OgU6Njpd03KLQjTr18/LF26FJ07d8b8+fMlt7b29/fHlClTUL58eYwbNw5LliyBhYUFqlSpguXLlyM+Pj7P87Zo0QJr1qxBw4YNkZaWhmnTphXLbdFtbW0xadIkTJo0CS9evEC3bt1QoUIFREZGYuvWrRCJRFLBF0EQEBUVJbk996VLl7Bo0SJoa2tjyZIleZyJZJGKugrKmRtKHhua6qNSTRN8iPuEdy9j4LqoL/TKloanyxoAQDkLI1Sub44Hlx9Do5QGuk/oAJNqFSTbASDkyDV0n9ABT248w4PLT1DW3BDO83vj0uFrSEtLw9dP37Df6y+MWO4MkZwIdy88gJqWKqo2ssLXT99wanvua2vk5siGU+g0yhHDvZwRsPk0qthawtG1BRb19c5W19G1BS4euoqPcQX7ppHoZyASieDg0hyntgdJpi+lc/1fH+iVKw1PF/GUBHE/roQHl59Ao5R6Rj8etE6yT+X65tArVxpPbj6HXrnSGDi3B+TkRNi79DAAfO/HRzDCa+D3fvxQ3I9tLfH18zec2l74QOiRjafQaZQDhi8bgIAtZ1HF1kLcj/utzFbXcZA9Lv55jf2YfimXT91B73GOiH79Hi8evoF5tQroNqIFTu7OuDuhy8zO0DXSgdcY8RTCo9vPo6OrHYa6d8fxnRdRpa4p2vRpBI/ffCT7KCjKo6KlkeR3XSMdmFUtj6+fExH5/B2+fk7EH+tPY9g8cT+/dzkcapoqqFLPDN8+J+Y57So3BWnX5VN30G14C4TfeYkHN56jrEkZDJzWASEn7yCNt2KmrPiaKDYM1PwDGhoaaNCgAVasWIHw8HAkJyejQoUKGDp0KGbOnAkg43bOY8aMQbNmzSAnJwdHR8dc1wQBxLebHjZsGGrXro2KFSti0aJFeU4Fys+uXbuwa9cuqTI3Nze4u7tjwoQJGD16NBITE9G+fXvMmTMH7u7uRT5XZvPmzcOePXswcuRIGBoaYufOnbC2Ft89RkNDAx4eHnj8+DHk5eVRr149yeLEBSESiaCnp5frdjU1Nfz999+YNm0aunXrho8fP6JcuXJo2bKlJLgzadIkREZGwsXFBXJycnB1dUXXrl2RkJCQ63G9vLwwaNAgNGvWDGXLlsXKlSsRGhpaiGel4JYtW4b69etj/fr18PHxwZcvX2BgYIBmzZrh0qVLUkGqDx8+wMjICCKRCFpaWrCysoKzszPGjRuXazCLZJdlXTN4ncuYhvDbchcAwEm/QCx1XQtdw1LQr5jx+peXl0OPiR1R3qosUpNTcfPcXYxrPBtvX2R8o7Zz4R8QBAEuC8QfDhPefUDIkWvwmbVbUsdvzh7ERyeg9/SuMDIzwKf4z3hy/Rl2L/Yv0nVEPY/G7PaLMWK5MzqNdEDsm/dYN84HF/yl31yWszBC9aZVMK3NgiKdh0hW1WlVHQbGZXDcNzDbNl0jHehXyJiWKi8vhx4TOmT048B7GNdkjlQ/VlJRhMt8JxiZ6ePrp2+4EnATHs5r8TkhI7PTb+5ecT+e1gVGG7/34xvPsHvxoSJdQ9Tzd5jdYQlGeGXqx+N9ccH/ilQ9ST92WFik8xDJqvUz92HgtI4YtcQJOrqaiHubgGPbL2DX8mOSOqUNtKBfLmOq79uIWMzttw7D5nVHx0HNEPs2ARtm78fFozcz9jHUxtozMyWPe4xsjR4jW+N28CNM+z51abvHX4iP+YheYxxguEwPnz98xZPbEdi7qmg3vyhIu3avCIAgCBg4vSN0DXWQEPsJl0/dwbbFh4t0TiIqGpHAiYZUDEQiEQ4ePIguXbqUdFPoB2st17Okm0BEP4Ko4LeIJSLZpVBGN/9KRCTzAqLW5V9JxjiWHlrSTSiS43GbS7oJ+eK7NCIiIiIiIiIiGcGpT0RERERERERUOJycU2wYqKFiwRl1RERERERERIXHqU9ERERERERERDKCGTVEREREREREVDhpaSXdgl8WM2qIiIiIiIiIiGQEAzVERERERERERDKCgRoiIiIiIiIiIhnBNWqIiIiIiIiIqHB4p99iw4waIiIiIiIiIiIZwUANEREREREREZGM4NQnIiIiIiIiIioUgbfnLjbMqCEiIiIiIiIikhEM1BARERERERERyQgGaoiIiIiIiIiIZATXqCEiIiIiIiKiwuHtuYsNM2qIiIiIiIiIiGQEAzVERERERERERDKCU5+IiIiIiIiIqHDSOPWpuDCjhoiIiIiIiIhIRjBQQ0REREREREQkIxioISIiIiIiIiKSEVyjhoiIiIiIiIgKR0gr6Rb8sphRQ0REREREREQkIxioISIiIiIiIiKSEQzUEBERERERERHJCK5RQ0RERERERESFIqQJJd2EXxYzaoiIiIiIiIiIZAQDNUREREREREREMoJTn4iIiIiIiIiocHh77mLDjBoiIiIiIiIiIhnBQA0RERERERERkYxgoIaIiIiIiIiISEZwjRoiIiIiIiIiKhTenrv4MKOGiIiIiIiIiEhGMFBDRERERERERCQjGKghIiIiIiIiosIR0n7On0Jat24dTE1NoaKiAhsbG5w/fz7P+kFBQbCxsYGKigrMzMywYcOGQp+TgRoiIiIiIiIioiz27t2L8ePHY9asWbhx4waaNm2Ktm3bIiIiIsf6z549Q7t27dC0aVPcuHEDM2fOxNixY/HHH38U6rwiQRC4AhARFVhruZ4l3QQi+hFE/K6G6FegUEa3pJtARD9AQNS6km5Cof2snwtOpe0vcN0GDRqgTp06WL9+vaSsSpUq6NKlCxYvXpyt/rRp03D48GGEhYVJykaMGIFbt27h0qVLBT4v36URERERERER0X9CYmIiPnz4IPWTmJiYrV5SUhJCQ0PRpk0bqfI2bdogODg4x2NfunQpW30HBwdcu3YNycnJBW4jb89NRIVSmAg0/ZwSExOxePFizJgxA8rKyiXdHCIqAvZjol8D+zLJsp/1c4G7uzvmzZsnVebm5gZ3d3epspiYGKSmpsLAwECq3MDAAFFRUTkeOyoqKsf6KSkpiImJgZGRUYHayIwaIiKSkpiYiHnz5uX4zQIR/RzYj4l+DezLRD/ejBkzkJCQIPUzY8aMXOuLRCKpx4IgZCvLr35O5XlhRg0RERERERER/ScoKysXKENNT08P8vLy2bJnoqOjs2XNpDM0NMyxvoKCAnR1C76mGDNqiIiIiIiIiIgyUVJSgo2NDU6dOiVVfurUKTRq1CjHfWxtbbPVP3nyJOrWrQtFRcUCn5uBGiIiIiIiIiKiLCZOnIgtW7bAx8cHYWFhmDBhAiIiIjBixAgA4mlUAwcOlNQfMWIEXrx4gYkTJyIsLAw+Pj7YunUrJk+eXKjzcuoTERFJUVZWhpubGxctJPqJsR8T/RrYl4lKlpOTE2JjYzF//nxERkaiWrVqOHbsGIyNjQEAkZGRiIiIkNQ3NTXFsWPHMGHCBKxduxZly5bFqlWr0L1790KdVySkr2xDREREREREREQlilOfiIiIiIiIiIhkBAM1REREREREREQygoEaIiIiIiIiIiIZwUANEZGMCAwMhEgkQnx8fEk35afy4MEDNGzYECoqKqhVqxaeP38OkUiEmzdvAuDzSlRYmzZtQoUKFSAnJwdvb2+4u7ujVq1aku0uLi7o0qVLibWPqDhkfZ0XRXGPP1mPX9K+fPmC7t27Q0tLS3KdJiYm8Pb2ltQRiUQ4dOhQibWR6GfFQA0RUSZRUVEYM2YMzMzMoKysjAoVKqBjx444c+bMDz1P8+bNMX78eKmyRo0aITIyEtra2j/0XCXl3LlzaNeuHXR1daGmpgZra2tMmjQJr1+//qHncXNzg7q6Oh4+fJjj/1Nhn9ec/m+I8uPi4gKRSIQlS5ZIlR86dAgikegfHz8pKQmenp6oWbMm1NTUoKenh8aNG8PX1xfJycn/+PjpPnz4gNGjR2PatGl4/fo1hg0blq3OypUr4efnV6DjydoHS/r5pfc1kUgERUVFmJmZYfLkyfj8+fM/Ou7kyZN/+FhfUuP6kydPMGjQIJQvXx7KysowNTVFnz59cO3atR96nm3btuH8+fMIDg7O9TojIyPRtm3bAh3vRwTLiH4VDNQQEX33/Plz2NjY4OzZs/D09MSdO3dw/Phx2NvbY9SoUcV+fiUlJRgaGv6QD3UlbePGjWjVqhUMDQ3xxx9/4P79+9iwYQMSEhLg5eX1Q88VHh6OJk2awNjYGLq6utm2/0rPK8k2FRUVeHh44P379z/0uElJSXBwcMCSJUswbNgwBAcH48qVKxg1ahRWr16Ne/fu/bBzRUREIDk5Ge3bt4eRkRHU1NSy1dHW1oaOjs4POydRYTk6OiIyMhJPnz7FwoULsW7dOkyePLlIxxIEASkpKdDQ0MhxDPknSmL8uXbtGmxsbPDo0SNs3LgR9+/fx8GDB1G5cmVMmjTph54rPDwcVapUQbVq1XK9TkNDQ95anKgoBCIiEgRBENq2bSuUK1dO+PTpU7Zt79+/l/z+4sULoVOnToK6urqgqakp9OzZU4iKipJsd3NzE2rWrCls375dMDY2FrS0tAQnJyfhw4cPgiAIgrOzswBA6ufZs2fCuXPnBACSc/n6+gra2trC8ePHhcqVKwvq6uqCg4OD8ObNG8m57OzshHHjxkm1tXPnzoKzs7PkcVxcnDBgwABBR0dHUFVVFRwdHYVHjx5la29mK1asEIyNjSWPz507J9SrV09QU1MTtLW1hUaNGgnPnz/P8Xl8+fKloKSkJIwfPz7H7ZmfywMHDgjW1taCkpKSYGxsLCxbtkyqrrGxsfC///1PGDRokKChoSFUqFBB2Lhxo2R71ufRzc1NePbsmQBAuHHjhqTtmZ9XQRCECxcuCM2aNRNUVVUFHR0doU2bNkJcXFyu/zdE+XF2dhY6dOggVK5cWZgyZYqk/ODBg0LWt1v5ve6z8vDwEOTk5ITr169n25aUlCT5m/Xt2zdhzJgxQpkyZQRlZWWhcePGwpUrVyR10/vC6dOnBRsbG0FVVVWwtbUVHjx4IAiC+G9OTq//rH8jnJ2dhc6dO0sep6amCkuWLBEqVaokKCkpCRUqVBAWLlwoCEL2PmpnZ1eg55MoN1lff4IgCEOGDBEMDQ0FQRCEtLQ0wcPDQzA1NRVUVFSEGjVqCPv375fUTe8Hx48fF2xsbARFRUXh7Nmz2V7nqampwrx584Ry5coJSkpKQs2aNYWAgACp816+fFmoVauWoKysLNjY2Aj+/v5FHn8EQRACAgKExo0bC9ra2kLp0qWF9u3bC0+ePJHsm3V8yyotLU2oWrWqYGNjI6Smpmbbnrkdt2/fFuzt7QUVFRWhdOnSwtChQ4WPHz9me56XLl0qGBoaCqVLlxZGjhwpJCUlCYIgfv+RU982NjYWVqxYITkOAOHgwYOSxy9fvhScnJyEUqVKCWpqaoKNjY0QEhKS498fX1/fHK+T6L+AGTVERADi4uJw/PhxjBo1Curq6tm2p397LAgCunTpgri4OAQFBeHUqVMIDw+Hk5OTVP3w8HAcOnQIR44cwZEjRxAUFCSZErFy5UrY2tpi6NChiIyMRGRkJCpUqJBju758+YJly5bh999/x99//42IiIhCf2vo4uKCa9eu4fDhw7h06RIEQUC7du0KPF0iJSUFXbp0gZ2dHW7fvo1Lly5h2LBhuX5DuH//fiQlJWHq1Kk5bk9/LkNDQ9GrVy/07t0bd+7cgbu7O+bMmZNtSoWXlxfq1q2LGzduYOTIkfjtt9/w4MEDAOKU6qpVq2LSpEmIjIws0HNz8+ZNtGzZElWrVsWlS5dw4cIFdOzYEampqYX6vyHKSl5eHosWLcLq1avx6tWrHOsU9HWf2c6dO9GqVSvUrl072zZFRUXJ36ypU6fijz/+wLZt23D9+nWYm5vDwcEBcXFxUvvMmjULXl5euHbtGhQUFODq6goAcHJywunTpwEAV65cKfDrf8aMGfDw8MCcOXNw//597Nq1CwYGBpLjAMDp06cRGRkJf3//fI9HVFiqqqqSMW327Nnw9fXF+vXrce/ePUyYMAH9+/dHUFCQ1D5Tp07F4sWLERYWhho1amQ75sqVK+Hl5YVly5bh9u3bcHBwQKdOnfD48WMAwOfPn9GhQwdYWVkhNDQU7u7u+Y5BeY0/6cecOHEirl69ijNnzkBOTg5du3ZFWlpagZ6Hmzdv4t69e5g0aRLk5LJ/zEsff798+QJHR0eUKlUKV69exf79+3H69GmMHj1aqv65c+cQHh6Oc+fOYdu2bfDz85P8rfL398fQoUNha2tb4L796dMn2NnZ4c2bNzh8+DBu3bqFqVOnIi0tDU5OTpg0aRKqVq0qGX+zvrci+k8p6UgREZEsuHz5sgBA8Pf3z7PeyZMnBXl5eSEiIkJSdu/ePQGA5JtrNzc3QU1NTZJBIwiCMGXKFKFBgwaSxzllwuSUUQNA6tu0tWvXCgYGBnkeJ3NGzaNHjwQAwsWLFyXbY2JiBFVVVWHfvn2S9uaVURMbGysAEAIDA/N8btL99ttvgpaWVr71+vbtK7Ru3VqqbMqUKYK1tbXksbGxsdC/f3/J47S0NEFfX19Yv369pKxmzZqCm5ub5HF+GTV9+vQRGjdunGu7cnpOifKT+Vv+hg0bCq6uroIgZM+oKcjrPitVVVVh7NixeZ7/06dPgqKiorBz505JWVJSklC2bFnB09NTEATpjJp0R48eFQAIX79+FQRBEG7cuJEtkyyvjJoPHz4IysrKwubNm3NsV34ZAESFlTWj5vLly4Kurq7Qq1cv4dOnT4KKiooQHBwstc/gwYOFPn36CIKQ0Q8OHTokVSfr67xs2bLC//73P6k69erVE0aOHCkIgiBs3LhRKF26tPD582fJ9vXr1/+j8Ser6OhoAYBw584dQRDy70979+4VAOSYfZfZpk2bhFKlSkllEB89elSQk5OTZAg7OzsLxsbGQkpKiqROz549BScnJ8njcePGZcuSyyujZuPGjYKmpqYQGxubY7tyej9C9F/FjBoiIogzZQDkO488LCwMFSpUkPqW2draGjo6OggLC5OUmZiYQFNTU/LYyMgI0dHRhW6XmpoaKlWqVOTjhIWFQUFBAQ0aNJCU6erqwsrKSqq9eSldujRcXFzg4OCAjh07YuXKlYiMjMy1viAIBZqPHxYWhsaNG0uVNW7cGI8fP5Z8uwhA6ptOkUgEQ0PDIj2X6dK/0SQqLh4eHti2bRvu37+fbVtBX/eZFaRPhYeHIzk5WerYioqKqF+/fra+nrlPGRkZAUCR+1RYWBgSExPZp+hfdeTIEWhoaEBFRQW2trZo1qwZVq9ejfv37+Pbt29o3bo1NDQ0JD/bt29HeHi41DHq1q2b6/E/fPiAN2/e5NhX0/tTWFiYZHHvdLa2tnm2O7/xJzw8HH379oWZmRm0tLRgamoKQLx2VEEU5r1MzZo1pTKIGzdujLS0NDx8+FBSVrVqVcjLy0seF/W9TLqbN2+idu3aKF26dJGPQfRfwUANEREACwsLiESifIMXuX1gylquqKgotV0kEhU4dTmznI6T/kYMAOTk5KQeA5Ca0pR1W07tze8YAODr64tLly6hUaNG2Lt3LywtLRESEpLjsS0tLZGQkJBnMCdrG/Jq7496LtOpqqoWeV+igmjWrBkcHBwwc+bMbNsK+rrPzNLSskB/m4DsH9ByOl/mPpW+rah9iv2JSoK9vT1u3ryJhw8f4tu3b/D394e+vr7kdXz06FHcvHlT8nP//n0cOHBA6hg5TXPOKq/+lF+/zUl+/aVjx46IjY3F5s2bcfnyZVy+fBmAeEHxgrC0tASAIr+XAVAs72XS8e8FUcExUENEBHHWiIODA9auXZvjLT7j4+MBiLNnIiIi8PLlS8m2+/fvIyEhAVWqVCnw+ZSUlHL99rwwypQpIxUQSU1Nxd27dyWPra2tkZKSInmzBwCxsbF49OiRpL1lypRBVFSU1JvOnG6lW7t2bcyYMQPBwcGoVq0adu3alWObevToASUlJXh6eua4PfNzeeHCBaltwcHBsLS0lPoG70erUaNGnrdg/VH/N/TftmTJEvz1118IDg6WKi/K675v3744ffo0bty4kW1bSkoKPn/+DHNzcygpKUkdOzk5GdeuXSvU36bCsrCwgKqqaq59SklJCQDYp+iHUldXh7m5OYyNjaWCCdbW1lBWVkZERATMzc2lfgqz3piWlhbKli2bY19N70/W1ta4desWvn79Ktme2xcY6fIaf2JjYxEWFobZs2ejZcuWqFKlSqHvIFerVi1YW1vDy8srx4BK5vH35s2bUu93Ll68CDk5OUmwpzjUqFEDN2/ezLZuVjqOv0QZGKghIvpu3bp1SE1NRf369fHHH3/g8ePHCAsLw6pVqyTpzK1atUKNGjXQr18/XL9+HVeuXMHAgQNhZ2eXZxp1ViYmJrh8+TKeP3+OmJiYIn9D1aJFCxw9ehRHjx7FgwcPMHLkSMkbMUD8Iapz584YOnQoLly4gFu3bqF///4oV64cOnfuDABo3rw53r17B09PT4SHh2Pt2rUICAiQHOPZs2eYMWMGLl26hBcvXuDkyZNSgZ6sKlSogBUrVmDlypUYPHgwgoKC8OLFC1y8eBHDhw/HggULAACTJk3CmTNnsGDBAjx69Ajbtm3DmjVrinyL1YKaMWMGrl69ipEjR+L27dt48OAB1q9fj5iYGAA/7v+G/tuqV6+Ofv36YfXq1VLlRXndjx8/Ho0bN0bLli2xdu1a3Lp1C0+fPsW+ffvQoEEDPH78GOrq6vjtt98wZcoUHD9+HPfv38fQoUPx5csXDB48uNiuU0VFBdOmTft/e3cfU2X5x3H8fQOBpIhYmKRsgMIAj6AYLKChGEQyKxwWMSNMjZyKKZjZVHzKRG0LH4DRZsqoqTkWJkMexGIlOSgEZkAk0nwim2Na1qam5/cHP88vHvIp/Xmqz+u/+1wX1/29D2w358P1vWHx4sWW9pLDhw+zbds2AIYMGYKjoyOlpaWcPXuWCxcu3LNaRJycnFi0aBELFy4kPz+ftrY2jhw5QnZ2Nvn5+be11htvvMH69evZvXs33333HUuWLKG+vp7XX38d6ApQbWxsmDlzJk1NTZSUlPDuu+/ecM0b3X9cXFx46KGHeP/99zl27BgHDx4kLS3ttmo2DIPt27fT2tpKREQEJSUlHD9+nMbGRtauXWu570+bNo1+/fqRnJzM0aNH+eyzz0hNTSUpKcnyIPB7ITExkaFDhxIXF8ehQ4c4fvw4hYWFfPXVV0DX/be9vZ36+nrOnTvHpUuX7lktItZOQY2IyH95enpSV1dHZGQk6enpmEwmoqOjqaysJDc3F+j6JaioqAgXFxciIiKIiorCy8uL3bt339a5Fi1ahK2tLf7+/ri6ut5y/3lPM2bMIDk52RIWeXp6EhkZ2W3O9u3bGTduHJMnTyY0NBSz2UxJSYnlr5B+fn7k5OSQnZ1NYGAgNTU13T40Pvjgg7S0tBAfH4+Pjw8pKSnMmzeP11577U/rmjNnDuXl5Zw+fZopU6bg6+vLrFmzGDhwoGXtoKAgPv74Y3bt2oXJZCIjI4PVq1czffr0O3ovbpWPjw/l5eU0NDQQEhJCaGgoe/fuxc7ODrh73xuRNWvW9GqPuJOfewcHByoqKli8eDF5eXk8/vjjBAcHs3nzZubPn4/JZAK6dvHEx8eTlJREUFAQx44do6ysDBcXl3t5mSxfvpz09HQyMjLw8/MjISHB8hwLOzs7Nm/eTF5eHo8++qjlg6LIvbJmzRoyMjJYt24dfn5+xMTEsG/fPsvzXm7V/PnzSU9PJz09ndGjR1NaWsqnn36Kt7c3AAMGDGDfvn00NTUxduxYli5dyvr162+45o3uPzY2NuzatYtvvvkGk8nEwoUL2bhx421ff0hICF9//TUjRozg1Vdfxc/Pj2effZZvv/2WrKwsoOu+XlZWRmdnJ8HBwUydOpUnn3ySrVu33vb5boe9vT3l5eUMGTKE2NhYRo8eTWZmpmU3YXx8PE8//TSRkZG4urqyc+fOe1qPiDUzzHfSYCkiIiIiIiIiIneddtSIiIiIiIiIiFgJBTUiIiIiIiIiIlZCQY2IiIiIiIiIiJVQUCMiIiIiIiIiYiUU1IiIiIiIiIiIWAkFNSIiIiIiIiIiVkJBjYiIiIiIiIiIlVBQIyIiIiIiIiJiJRTUiIiIiNxnZrOZlJQUBg8ejGEY1NfXM2HCBBYsWGCZ4+HhQVZW1n2rUURERP4/FNSIiIiI/Ikff/yR1NRUvLy8cHBwwN3dnWeeeYbKysq7ep7S0lJ27NhBcXExHR0dmEymXnNqa2tJSUm5pfV27NjBoEGDbmnu5cuX2bhxI0FBQfTv3x9nZ2cCAwNZtmwZZ86cuZ3LEBERkbvA7n4XICIiImKNfvjhB8LDwxk0aBAbNmwgICCAK1euUFZWxty5c2lpablr52pra8PNzY2wsLA/nePq6nrXznfdpUuXeOqpp2hsbGTVqlWEh4fj7OxMW1sbRUVFbNmyhXXr1vX5tZcvX8be3v6u1yQiIvJvpx01IiIiIn2YM2cOhmFQU1PD1KlT8fHxYdSoUaSlpXH48GHLvBMnTvDcc88xYMAABg4cyAsvvMDZs2ct4ytXrmTMmDEUFBTg4eGBs7MzL774Ir/88gsA06dPJzU1lRMnTmAYBh4eHn3W07P16fz586SkpPDII4/Qr18/TCYTxcXFfP7557zyyitcuHABwzAwDIOVK1f2ueZ7773Hl19+ycGDB5k/fz7jxo1j5MiRxMTEkJubyzvvvGOZO2HCBObNm0daWhoPP/ww0dHRAFRVVRESEoKDgwNubm4sWbKE33///U/rBhgzZky3mgzDIDc3l0mTJuHo6Iinpyd79uy50bdHRETkH0tBjYiIiEgPnZ2dlJaWMnfuXPr3799r/HpbkdlsJi4ujs7OTqqqqqioqKCtrY2EhIRu86/vUCkuLqa4uJiqqioyMzMB2LRpE6tXr2b48OF0dHRQW1t70/quXbvGpEmTqK6u5sMPP6SpqYnMzExsbW0JCwsjKyuLgQMH0tHRQUdHB4sWLepznZ07dxIdHc3YsWP7HDcMo9txfn4+dnZ2HDp0iLy8PE6fPk1sbCzBwcE0NDSQm5vLtm3bePvtt296DT0tX76c+Ph4GhoaeOmll0hMTKS5ufm21xEREfm7U+uTiIiISA/Hjh3DbDbj6+t7w3kHDhygsbGR9vZ23N3dASgoKGDUqFHU1tYSHBwMdAUrO3bswMnJCYCkpCQqKytZu3Ytzs7OODk5YWtry9ChQ2+pvgMHDlBTU0NzczM+Pj4AeHl5WcadnZ0xDOOm67W2tjJhwoRur02ZMoWKigoAAgICqK6utoyNHDmSDRs2WI6XLl2Ku7s7W7duxTAMfH19OXPmDG+++SYZGRnY2Nz63wSff/55Zs2aBcCaNWuoqKhgy5Yt5OTk3PIaIiIi/wTaUSMiIiLSg9lsBnrvKOmpubkZd3d3S0gD4O/vz6BBg7rtBvHw8LCENABubm789NNPd1xffX09w4cPt4Q0f0XPa8zJyaG+vp4ZM2bw22+/dRt77LHHuh03NzcTGhrabY3w8HAuXrzIqVOnbquO0NDQXsfaUSMiIv9GCmpEREREevD29sYwjJsGBWazuc8wp+frDzzwQLdxwzC4du3aHdfn6Oh4x1/7R97e3r0eiuzm5sbIkSMZPHhwr/k928D6uv6eIZeNjY3lteuuXLlyS/XdLCgTERH5J1JQIyIiItLD4MGDiYmJITs7m19//bXX+Pnz54Gu3TMnTpzg5MmTlrGmpiYuXLiAn5/fPasvICCAU6dO0dra2ue4vb09V69evek6iYmJVFRUcOTIkTuqw9/fn+rq6m5BTHV1NU5OTgwbNgzo+m9VHR0dlvGff/6Z9vb2Xmv98QHN149v1nomIiLyT6SgRkRERKQPOTk5XL16lZCQEAoLC/n+++9pbm5m8+bNljadqKgoAgICmDZtGnV1ddTU1PDyyy8zfvz4Xm1Cd9P48eOJiIggPj6eiooK2tvb2b9/P6WlpUBXq9XFixeprKzk3LlzvVqYrlu4cCGhoaFMnDiRTZs2UVdXR3t7O2VlZezfvx9bW9sb1jFnzhxOnjxJamoqLS0t7N27lxUrVpCWlmZ5Ps3EiRMpKCjgiy++4OjRoyQnJ/e57p49e/jggw9obW1lxYoV1NTUMG/evL/4TomIiPz9KKgRERER6YOnpyd1dXVERkaSnp6OyWQiOjqayspKcnNzga7WnKKiIlxcXIiIiCAqKgovLy927959z+srLCwkODiYxMRE/P39Wbx4sWUXTVhYGLNnzyYhIQFXV9duDwD+o379+lFZWcmSJUvYvn07TzzxBH5+fixYsIDw8HCKiopuWMOwYcMoKSmhpqaGwMBAZs+ezcyZM1m2bJllzltvvUVERASTJ08mNjaWuLg4RowY0WutVatWsWvXLgICAsjPz+ejjz7C39//zt8gERGRvynD3LNpWERERETk/8gwDD755BPi4uLudykiIiL3nXbUiIiIiIiIiIhYCQU1IiIiIiIiIiJWwu5+FyAiIiIi/27qxBcREfkf7agREREREREREbESCmpERERERERERKyEghoRERERERERESuhoEZERERERERExEooqBERERERERERsRIKakRERERERERErISCGhERERERERERK6GgRkRERERERETESvwHM2NL+DBG2d0AAAAASUVORK5CYII=",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Create a pivot table including Product Category, Conflict Group, and GDP Status\n",
+ "product_conflict_gdp_value_matrix = df.pivot_table(\n",
+ " index=[\"Product_Category\", \"GDP_Status\"],\n",
+ " columns=\"Conflict_Group\",\n",
+ " values=\"Value_USD\",\n",
+ " aggfunc=\"sum\",\n",
+ " fill_value=0,\n",
+ ")\n",
+ "\n",
+ "# Filter the matrix to exclude 'High GDP' from the index\n",
+ "product_conflict_gdp_value_matrix_filtered = product_conflict_gdp_value_matrix.drop(\n",
+ " \"High GDP\", level=\"GDP_Status\"\n",
+ ")\n",
+ "\n",
+ "plt.figure(figsize=(12, 10))\n",
+ "sns.heatmap(\n",
+ " product_conflict_gdp_value_matrix_filtered, annot=True, cmap=\"viridis\", fmt=\".2e\"\n",
+ ") # Use scientific notation for large numbers\n",
+ "plt.title(\n",
+ " \"Heatmap of Total Import Value (USD) by Product Category, GDP Status (Excluding High GDP), and Conflict Group\"\n",
+ ")\n",
+ "plt.xlabel(\"Conflict Group\")\n",
+ "plt.ylabel(\"Product Category, GDP Status\")\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "475063b5",
+ "metadata": {},
+ "source": [
+ "### ✅ Key Findings After the Analysis\n",
+ "\n",
+ "#### After the analysis we found:\n",
+ "\n",
+ "**1. Solar imports increase in periodical conflict areas:**\n",
+ " Periodical conflict zones show growing imports of solar products over time, likely due to temporary stability and stronger economic capacity that enable continued investment in renewable energy, as seen in Chart 1.\n",
+ "\n",
+ "**2. Solar imports decline in continuous conflict areas:**\n",
+ " Lower solar imports in continuous conflict regions can be attributed to weak economies, deteriorated infrastructure, and ongoing political and security instability that hinder import and distribution processes, which Chart 1 and Chart 4 help illustrate.\n",
+ "\n",
+ "**3. Economic status plays a critical role:**\n",
+ " Countries with middle and high GDP tend to adopt larger and more sustainable solar solutions, while low-income countries mainly rely on basic, low-cost options like solar lamps. This relationship is reflected in Chart 2.\n",
+ "\n",
+ "**4. PV modules dominate solar imports in conflict zones:**\n",
+ " Photovoltaic (PV) modules are the most imported solar product in conflict-affected areas, reflecting a focus on essential and practical solar solutions suitable for unstable environments, as indicated by Chart 3.\n",
+ "\n",
+ "**5. A three-way relationship exists between conflict duration, economic status, and solar adoption:**\n",
+ " Conflict duration drives the need for independent energy solutions; economic capacity shapes the scale and type of solar products adopted; and stability and supportive policies facilitate sustained and large-scale adoption, which is supported by the data patterns shown in Chart 4.\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/4_data_analysis/duration_analysis/non_tech_exp.md b/4_data_analysis/duration_analysis/non_tech_exp.md
new file mode 100644
index 000000000..bb49e48c4
--- /dev/null
+++ b/4_data_analysis/duration_analysis/non_tech_exp.md
@@ -0,0 +1,44 @@
+# Non-Technical Explanation
+
+**What is This Analysis About?**
+This study explores how long-term conflicts and economic conditions affect the
+ adoption of solar energy in different countries. It uses trade data to see
+ which countries import more solar technology and whether conflict or wealth
+ plays a bigger role.
+**Key Findings**
+
+- Conflict Impact: Countries with continuous conflicts (like Afghanistan) tend to
+ adopt less solar energy compared to periodical conflict ( like Ukraine).
+
+- Economic Influence: Wealthier countries (High GDP) generally adopt more solar
+ technology, even if they face periodic conflicts.
+
+- Exceptions: Some countries defy trends—like low-GDP nations with high solar adoption—highlighting
+ unique success stories.
+
+**How Was This Done?**
+Data Collection: The study used UN trade data, focusing on solar product imports.
+
+Grouping: Countries were split into:
+
+Continuous conflict zones.
+
+Periodically unstable regions.
+
+Conflict-free nations.
+
+Further divided by wealth (High/Medium/Low GDP).
+
+Product Types: Solar imports were categorized (e.g., solar panels, batteries, lamps).
+
+Trends Over Time: Graphs show how solar adoption changes in each group.
+
+**Why Does It Matter?**
+
+Policy Insights: Helps governments and NGOs target solar investments where
+ they’re needed most.
+
+Exceptions Highlight Solutions: Identifies countries overcoming barriers,
+ offering lessons for others.
+
+Global Energy Transition: Shows how conflict and economy shape renewable energy progress.
diff --git a/4_data_analysis/duration_analysis/solar_imports_with_conflict_group.xlsx b/4_data_analysis/duration_analysis/solar_imports_with_conflict_group.xlsx
new file mode 100644
index 000000000..6f7857e31
Binary files /dev/null and b/4_data_analysis/duration_analysis/solar_imports_with_conflict_group.xlsx differ
diff --git a/4_data_analysis/duration_analysis/technical_explanation.md b/4_data_analysis/duration_analysis/technical_explanation.md
new file mode 100644
index 000000000..2ff289f09
--- /dev/null
+++ b/4_data_analysis/duration_analysis/technical_explanation.md
@@ -0,0 +1,55 @@
+# Technical Explanation
+
+## Overview
+
+The Conflict duration notebook analyzes the impact of conflict duration on
+solar energy adoption across different countries, considering their economic
+ status (GDP classification). The analysis uses trade data from the UN Comtrade
+ database, focusing on solar-related product imports.
+
+## Key Components
+
+### Data Processing
+
+1. **Data Loading**: The dataset is loaded from a GitHub repository containing
+ cleaned UN Comtrade data.
+2. **Conflict Grouping**: Countries are categorized into three groups based on
+ conflict duration:
+ - Continuous Conflict (e.g., Afghanistan, Syria)
+ - Periodical Conflict (e.g., Iraq, Ukraine)
+ - No Conflict (e.g., Germany, Saudi Arabia)
+3. **GDP Integration**: Countries are further classified by GDP status
+ (High, Medium, Low) to analyze economic influences.
+4. **Product Categorization**: Solar-related products are categorized
+ (e.g., PV Modules, Inverters, Solar Lamps).
+
+### Analysis
+
+1. **Trend Comparison**: A line chart compares solar import trends over time
+ for each conflict group.
+2. **GDP Influence**: Examines how economic status affects solar adoption under
+ conflict conditions.
+3. **Exceptions**: Identifies countries that deviate from general trends.
+
+### Tools and Libraries
+
+- **Python Libraries**: Pandas, NumPy, Matplotlib, Seaborn for data manipulation
+ and visualization.
+- **Data Source**: UN Comtrade clean dataset (Excel format).
+
+### Key Questions Addressed
+
+1. Does prolonged conflict negatively affect solar adoption rates?
+2. How does economic status influence solar adoption under conflict?
+3. Are there differences in adoption between conflict categories?
+4. Which countries stand out as exceptions?
+5. Are there correlations between conflict duration, GDP, and solar imports?
+
+## Technical Highlights
+
+- **Data Cleaning**: The dataset is pre-cleaned, focusing on relevant columns
+ like country, product description, net weight, value, and conflict year.
+- **Visualization**: Uses Matplotlib and Seaborn for trend analysis and
+ comparison charts.
+- **Statistical Analysis**: Likely includes correlation and group comparison
+analyses (though code details are not fully shown)
diff --git a/4_data_analysis/output_graphs/Average Installed Capacity (Total Renewable) by Conflict Phase.png b/4_data_analysis/output_graphs/Average Installed Capacity (Total Renewable) by Conflict Phase.png
new file mode 100644
index 000000000..0a9d4cd4a
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Installed Capacity (Total Renewable) by Conflict Phase.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase - Ongrid and Off grid per country.png b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase - Ongrid and Off grid per country.png
new file mode 100644
index 000000000..9e29ca145
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase - Ongrid and Off grid per country.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Economic Status (excluding Ukraine).png b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Economic Status (excluding Ukraine).png
new file mode 100644
index 000000000..21f4b0f9e
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Economic Status (excluding Ukraine).png differ
diff --git a/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Economic Status per country.png b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Economic Status per country.png
new file mode 100644
index 000000000..90ac07d56
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Economic Status per country.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Grid Type in Ukraine.png b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Grid Type in Ukraine.png
new file mode 100644
index 000000000..b4dd64632
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Grid Type in Ukraine.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Grid Type.png b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Grid Type.png
new file mode 100644
index 000000000..6bebb9b22
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar Capacity by Conflict Phase and Grid Type.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phase per country- stacked barchart.png b/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phase per country- stacked barchart.png
new file mode 100644
index 000000000..2a4d44aa4
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phase per country- stacked barchart.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phases with and without Ukraine.png b/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phases with and without Ukraine.png
new file mode 100644
index 000000000..ab1a1b324
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phases with and without Ukraine.png differ
diff --git a/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phases.png b/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phases.png
new file mode 100644
index 000000000..87ecf1995
Binary files /dev/null and b/4_data_analysis/output_graphs/Average Solar PV Capacity by Conflict Phases.png differ
diff --git a/4_data_analysis/output_graphs/Heat map for countries with similar pattern.png b/4_data_analysis/output_graphs/Heat map for countries with similar pattern.png
new file mode 100644
index 000000000..b24354c19
Binary files /dev/null and b/4_data_analysis/output_graphs/Heat map for countries with similar pattern.png differ
diff --git a/4_data_analysis/output_graphs/Low Capacity vs low capacity countries soalr adoption.png b/4_data_analysis/output_graphs/Low Capacity vs low capacity countries soalr adoption.png
new file mode 100644
index 000000000..c074734f1
Binary files /dev/null and b/4_data_analysis/output_graphs/Low Capacity vs low capacity countries soalr adoption.png differ
diff --git a/4_data_analysis/output_graphs/Offgrid Solar adoption in past 25 years in 9 conflict countries.png b/4_data_analysis/output_graphs/Offgrid Solar adoption in past 25 years in 9 conflict countries.png
new file mode 100644
index 000000000..20198f7cb
Binary files /dev/null and b/4_data_analysis/output_graphs/Offgrid Solar adoption in past 25 years in 9 conflict countries.png differ
diff --git a/4_data_analysis/output_graphs/Ongrid Solar adoption in past 25 years in 9 conflict countries.png b/4_data_analysis/output_graphs/Ongrid Solar adoption in past 25 years in 9 conflict countries.png
new file mode 100644
index 000000000..accf4173a
Binary files /dev/null and b/4_data_analysis/output_graphs/Ongrid Solar adoption in past 25 years in 9 conflict countries.png differ
diff --git a/4_data_analysis/output_graphs/Regression.. Effect of Conflict on Solar Growth Rate.png b/4_data_analysis/output_graphs/Regression.. Effect of Conflict on Solar Growth Rate.png
new file mode 100644
index 000000000..badf294b2
Binary files /dev/null and b/4_data_analysis/output_graphs/Regression.. Effect of Conflict on Solar Growth Rate.png differ
diff --git a/4_data_analysis/output_graphs/Solar Adoption Intensity -USD-GDP per capita- by Conflict Group.png b/4_data_analysis/output_graphs/Solar Adoption Intensity -USD-GDP per capita- by Conflict Group.png
new file mode 100644
index 000000000..b604ed96e
Binary files /dev/null and b/4_data_analysis/output_graphs/Solar Adoption Intensity -USD-GDP per capita- by Conflict Group.png differ
diff --git a/4_data_analysis/output_graphs/Solar Energy Analysis by Year.png b/4_data_analysis/output_graphs/Solar Energy Analysis by Year.png
new file mode 100644
index 000000000..37284c5d3
Binary files /dev/null and b/4_data_analysis/output_graphs/Solar Energy Analysis by Year.png differ
diff --git a/4_data_analysis/output_graphs/Solar Product Imports over time by Conflct Group.png b/4_data_analysis/output_graphs/Solar Product Imports over time by Conflct Group.png
new file mode 100644
index 000000000..2f2785589
Binary files /dev/null and b/4_data_analysis/output_graphs/Solar Product Imports over time by Conflct Group.png differ
diff --git a/4_data_analysis/output_graphs/Solar Product Mix by Conflict Geoup (%).png b/4_data_analysis/output_graphs/Solar Product Mix by Conflict Geoup (%).png
new file mode 100644
index 000000000..539870f3c
Binary files /dev/null and b/4_data_analysis/output_graphs/Solar Product Mix by Conflict Geoup (%).png differ
diff --git a/4_data_analysis/output_graphs/Sudan- Normalized Off-Grid Solar vs Ongrid Solar.png b/4_data_analysis/output_graphs/Sudan- Normalized Off-Grid Solar vs Ongrid Solar.png
new file mode 100644
index 000000000..953302e9a
Binary files /dev/null and b/4_data_analysis/output_graphs/Sudan- Normalized Off-Grid Solar vs Ongrid Solar.png differ
diff --git a/4_data_analysis/output_graphs/Ukraine- Normalized Imports vs Ongrid Solar.png b/4_data_analysis/output_graphs/Ukraine- Normalized Imports vs Ongrid Solar.png
new file mode 100644
index 000000000..d57fc222c
Binary files /dev/null and b/4_data_analysis/output_graphs/Ukraine- Normalized Imports vs Ongrid Solar.png differ
diff --git a/4_data_analysis/phases_analysis/1.phases_analysis.ipynb b/4_data_analysis/phases_analysis/1.phases_analysis.ipynb
new file mode 100644
index 000000000..15cc45202
--- /dev/null
+++ b/4_data_analysis/phases_analysis/1.phases_analysis.ipynb
@@ -0,0 +1,2483 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "76d5fe13",
+ "metadata": {},
+ "source": [
+ "## **3. Data Analysis : Phases Analysis**\n",
+ "> #### _Sub-Analytical Question:_\n",
+ "> #### **Q1. What are the trends in solar energy adoption across the conflict cycle—pre-conflict, active conflict, and post-conflict periods—in conflict-affected countries?**"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fe3b1ed4",
+ "metadata": {},
+ "source": [
+ "After conducting initial data exploration in [EDA 1](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/3_data_exploration/IRENA_ONG_explore_1.ipynb) and [EDA 2](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/3_data_exploration/IRENA_ONG_explore_2.ipynb), and summarizing key findings in the [Exploration README](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/3_data_exploration/README.md), this analysis phase builds on that foundation by focusing on trends across the **three conflict periods** — *pre-conflict*, *active conflict*, and *post-conflict*.\n",
+ "\n",
+ "The goal is to investigate whether any **clear patterns emerge** in solar energy adoption among the 9 conflict-affected countries studied.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "810e9ae5",
+ "metadata": {},
+ "source": [
+ "\n",
+ "#### Summary of Previous Discoveries\n",
+ "\n",
+ "* **Ukraine dominates the data** with over **8,000 MW by 2024**, nearly **30x** more than any other country.\n",
+ "* **Conflict impacts solar growth unevenly:** While countries like Ukraine and Yemen showed large capacity increases during conflict, most others experienced stagnation or minimal growth, suggesting the effect of conflict varies by context. \n",
+ "* **Growth is possible even in fragile states**: Yemen reached \\~250 MW during conflict, Sudan grew steadily to \\~100 MW.\n",
+ "\n",
+ "> **Key Insight**: *While conflict hinders development, short windows of stability allow for rapid solar expansion. Growth patterns become volatile when conflict resumes.*\n",
+ "\n",
+ "The goal is to:\n",
+ "\n",
+ "* Compare how solar development varies by **conflict phase**\n",
+ "* Identify **shared or divergent patterns** across countries\n",
+ "* Explore **exceptions** (e.g., growth during active conflict)\n",
+ "* Investigate the **volatility** and **recovery trajectories**\n",
+ "\n",
+ "\n",
+ "This structured investigation helps answer: \n",
+ "**To what extent does conflict interrupt solar development?** \n",
+ "**Which countries recover faster—and why?** \n",
+ "**Can meaningful infrastructure still be developed during war?** \n",
+ "\n",
+ "The following sections use stacked bar charts, heatmaps, and comparative trend lines to dig deeper into this question.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "3c8f6ed1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 1. Import Required Libraries\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import seaborn as sns\n",
+ "import numpy as np\n",
+ "from sklearn.linear_model import LinearRegression"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "2260de6c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Visualization settings\n",
+ "%matplotlib inline\n",
+ "sns.set(style=\"whitegrid\", palette=\"pastel\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "0b8304ed",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 2. Load Dataset\n",
+ "\n",
+ "\n",
+ "url = \"https://raw.githubusercontent.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/main/1_datasets/cleaned_data/ONG_conflictcountriesonly.xlsx\"\n",
+ "\n",
+ "df = pd.read_excel(url, engine=\"openpyxl\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "480ea87f",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Region Sub-region Country ISO3 code RE or Non-RE \\\n",
+ "0 Africa Northern Africa Libya LBY Total Non-Renewable \n",
+ "1 Africa Northern Africa Libya LBY Total Non-Renewable \n",
+ "2 Africa Northern Africa Libya LBY Total Non-Renewable \n",
+ "3 Africa Northern Africa Libya LBY Total Non-Renewable \n",
+ "4 Africa Northern Africa Libya LBY Total Non-Renewable \n",
+ "\n",
+ " Group Technology Technology Sub-Technology Producer Type Year \\\n",
+ "0 Fossil fuels Natural gas Natural gas On-grid electricity 2000 \n",
+ "1 Fossil fuels Natural gas Natural gas On-grid electricity 2001 \n",
+ "2 Fossil fuels Natural gas Natural gas On-grid electricity 2002 \n",
+ "3 Fossil fuels Natural gas Natural gas On-grid electricity 2003 \n",
+ "4 Fossil fuels Natural gas Natural gas On-grid electricity 2004 \n",
+ "\n",
+ " Electricity Installed Capacity (MW) Conflict Phase \n",
+ "0 930.0 pre-conflict \n",
+ "1 930.0 pre-conflict \n",
+ "2 1095.0 pre-conflict \n",
+ "3 1095.0 pre-conflict \n",
+ "4 1095.0 pre-conflict \n",
+ "Shape of dataset: (984, 12)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# 3. Quick Preview\n",
+ "print(df.head())\n",
+ "print(\"Shape of dataset:\", df.shape)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "ee70fc12",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Missing values per column:\n",
+ " Region 0\n",
+ "Sub-region 0\n",
+ "Country 0\n",
+ "ISO3 code 0\n",
+ "RE or Non-RE 0\n",
+ "Group Technology 0\n",
+ "Technology 0\n",
+ "Sub-Technology 0\n",
+ "Producer Type 0\n",
+ "Year 0\n",
+ "Electricity Installed Capacity (MW) 0\n",
+ "Conflict Phase 0\n",
+ "dtype: int64\n",
+ "Rows with missing data per country:\n",
+ " Series([], dtype: int64)\n"
+ ]
+ }
+ ],
+ "source": [
+ "# 4. Data Quality & Standardization:\n",
+ "\n",
+ "# Check for missing values\n",
+ "missing_summary = df.isnull().sum()\n",
+ "print(\"Missing values per column:\\n\", missing_summary)\n",
+ "\n",
+ "# Optional: See missing data by country\n",
+ "missing_by_country = df[df.isnull().any(axis=1)].groupby(\"Country\").size()\n",
+ "print(\"Rows with missing data per country:\\n\", missing_by_country)\n",
+ "\n",
+ "# Trim whitespace and convert country names to title case\n",
+ "df[\"Country\"] = df[\"Country\"].str.strip().str.title()\n",
+ "\n",
+ "# Ensure 'Year' column is of integer type\n",
+ "df[\"Year\"] = df[\"Year\"].astype(int)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "465e379b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Sub-region
\n",
+ "
Country
\n",
+ "
ISO3 code
\n",
+ "
RE or Non-RE
\n",
+ "
Group Technology
\n",
+ "
Technology
\n",
+ "
Sub-Technology
\n",
+ "
Producer Type
\n",
+ "
Year
\n",
+ "
Electricity Installed Capacity (MW)
\n",
+ "
Conflict Phase
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Non-Renewable
\n",
+ "
Fossil fuels
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Off-grid electricity
\n",
+ "
2000
\n",
+ "
26.927
\n",
+ "
pre-conflict
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Non-Renewable
\n",
+ "
Fossil fuels
\n",
+ "
Oil
\n",
+ "
Oil
\n",
+ "
On-grid electricity
\n",
+ "
2000
\n",
+ "
2.798
\n",
+ "
pre-conflict
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Renewable
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Renewable hydropower
\n",
+ "
Renewable hydropower
\n",
+ "
Off-grid electricity
\n",
+ "
2000
\n",
+ "
0.003
\n",
+ "
pre-conflict
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Renewable
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Renewable hydropower
\n",
+ "
Renewable hydropower
\n",
+ "
On-grid electricity
\n",
+ "
2000
\n",
+ "
191.500
\n",
+ "
pre-conflict
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Non-Renewable
\n",
+ "
Fossil fuels
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Off-grid electricity
\n",
+ "
2001
\n",
+ "
26.927
\n",
+ "
active-conflict
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Sub-region Country ISO3 code RE or Non-RE \\\n",
+ "0 Asia Southern Asia Afghanistan AFG Total Non-Renewable \n",
+ "1 Asia Southern Asia Afghanistan AFG Total Non-Renewable \n",
+ "2 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "3 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "4 Asia Southern Asia Afghanistan AFG Total Non-Renewable \n",
+ "\n",
+ " Group Technology Technology \\\n",
+ "0 Fossil fuels Fossil fuels n.e.s. \n",
+ "1 Fossil fuels Oil \n",
+ "2 Hydropower (excl. Pumped Storage) Renewable hydropower \n",
+ "3 Hydropower (excl. Pumped Storage) Renewable hydropower \n",
+ "4 Fossil fuels Fossil fuels n.e.s. \n",
+ "\n",
+ " Sub-Technology Producer Type Year \\\n",
+ "0 Fossil fuels n.e.s. Off-grid electricity 2000 \n",
+ "1 Oil On-grid electricity 2000 \n",
+ "2 Renewable hydropower Off-grid electricity 2000 \n",
+ "3 Renewable hydropower On-grid electricity 2000 \n",
+ "4 Fossil fuels n.e.s. Off-grid electricity 2001 \n",
+ "\n",
+ " Electricity Installed Capacity (MW) Conflict Phase \n",
+ "0 26.927 pre-conflict \n",
+ "1 2.798 pre-conflict \n",
+ "2 0.003 pre-conflict \n",
+ "3 191.500 pre-conflict \n",
+ "4 26.927 active-conflict "
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# 5. Sort the dataframe by Country and Year\n",
+ "df = df.sort_values(by=[\"Country\", \"Year\"]).reset_index(drop=True)\n",
+ "df.head()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "4928da2f",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Region Sub-region Country ISO3 code RE or Non-RE \\\n",
+ "40 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "45 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "50 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "55 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "61 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "\n",
+ " Group Technology Technology Sub-Technology \\\n",
+ "40 Solar energy Solar photovoltaic Off-grid Solar photovoltaic \n",
+ "45 Solar energy Solar photovoltaic Off-grid Solar photovoltaic \n",
+ "50 Solar energy Solar photovoltaic Off-grid Solar photovoltaic \n",
+ "55 Solar energy Solar photovoltaic Off-grid Solar photovoltaic \n",
+ "61 Solar energy Solar photovoltaic Off-grid Solar photovoltaic \n",
+ "\n",
+ " Producer Type Year Electricity Installed Capacity (MW) \\\n",
+ "40 Off-grid electricity 2009 0.002 \n",
+ "45 Off-grid electricity 2010 0.102 \n",
+ "50 Off-grid electricity 2011 0.120 \n",
+ "55 Off-grid electricity 2012 16.122 \n",
+ "61 Off-grid electricity 2013 16.843 \n",
+ "\n",
+ " Conflict Phase \n",
+ "40 active-conflict \n",
+ "45 active-conflict \n",
+ "50 active-conflict \n",
+ "55 active-conflict \n",
+ "61 active-conflict \n",
+ "Region 0\n",
+ "Sub-region 0\n",
+ "Country 0\n",
+ "ISO3 code 0\n",
+ "RE or Non-RE 0\n",
+ "Group Technology 0\n",
+ "Technology 0\n",
+ "Sub-Technology 0\n",
+ "Producer Type 0\n",
+ "Year 0\n",
+ "Electricity Installed Capacity (MW) 0\n",
+ "Conflict Phase 0\n",
+ "dtype: int64\n"
+ ]
+ }
+ ],
+ "source": [
+ "# 6. SOLAR ENERGY DATAFRAME\n",
+ "solar_df = df[\n",
+ " df[\"RE or Non-RE\"].str.contains(\"Total Renewable\", case=False, na=False)\n",
+ " & df[\"Group Technology\"].str.contains(\"Solar energy\", case=False, na=False)\n",
+ "].copy()\n",
+ "\n",
+ "print(solar_df.head())\n",
+ "print(solar_df.isnull().sum())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "3ff3126c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Conflict Phase active-conflict post-conflict pre-conflict\n",
+ "Country \n",
+ "Afghanistan 292.010 160.428 0.000\n",
+ "Ethiopia 62.552 42.738 75.132\n",
+ "Iraq 175.500 273.032 0.000\n",
+ "Libya 39.341 29.332 15.600\n",
+ "South Sudan 9.933 53.394 0.000\n",
+ "Sudan (The) 713.516 0.000 0.009\n",
+ "Syrian Arab Republic (The) 228.493 0.000 0.000\n",
+ "Ukraine 48770.376 0.000 1310.700\n",
+ "Yemen 2236.023 0.000 2.369\n"
+ ]
+ }
+ ],
+ "source": [
+ "# 7. Solar Energy Analysis\n",
+ "# Group by Country and Conflict Phase, summing total installed capacity\n",
+ "solar_by_phase = (\n",
+ " solar_df.groupby([\"Country\", \"Conflict Phase\"])[\n",
+ " \"Electricity Installed Capacity (MW)\"\n",
+ " ]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Pivot for cleaner comparison\n",
+ "solar_pivot = solar_by_phase.pivot(\n",
+ " index=\"Country\",\n",
+ " columns=\"Conflict Phase\",\n",
+ " values=\"Electricity Installed Capacity (MW)\",\n",
+ ").fillna(0)\n",
+ "\n",
+ "print(solar_pivot)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "dfbb80f3",
+ "metadata": {},
+ "source": [
+ "**Summary Insights: Active-Conflict Period**\n",
+ "\n",
+ "| Type | Countries | Insight |\n",
+ "| ----------------------- | ---------------------------- | ------------------------------------------------------------------------ |\n",
+ "| **High solar adoption** | Ukraine, Yemen, Sudan | Solar grew **despite or because of conflict** due to necessity or policy |\n",
+ "| **Moderate adoption** | Iraq, Afghanistan, Syria | Maintained solar investment **during instability** |\n",
+ "| **Low adoption** | Ethiopia, Libya, South Sudan | Conflict **disrupted infrastructure or investment capacity** |\n",
+ "\n",
+ "**Summary Insights: Post-Conflict Period**\n",
+ "\n",
+ "| Type | Countries | Insight |\n",
+ "| ----------------------- | ------------------------------ | ---------------------------------------------------------------------------------------------------------------------- |\n",
+ "| **High solar adoption** | Iraq, South Sudan, Afghanistan | Post-conflict recovery likely **boosted energy investments**, often with **international aid** or reconstruction plans |\n",
+ "| **Moderate adoption** | Ethiopia, Libya | Gradual solar growth, possibly **limited by fragile governance or slow economic recovery** |\n",
+ "| **Low/no adoption** | Sudan, Syria, Ukraine, Yemen | **Ongoing instability** - so no data |\n",
+ "\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "526657c3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 8. Visualizing Solar Energy by Conflict Phase\n",
+ "solar_by_phase_year = (\n",
+ " solar_df.groupby([\"Country\", \"Conflict Phase\", \"Year\"])[\n",
+ " \"Electricity Installed Capacity (MW)\"\n",
+ " ]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Custom colors for conflict phases\n",
+ "phase_colors = {\n",
+ " \"pre-conflict\": \"#8ecae6\",\n",
+ " \"active-conflict\": \"#ff6b6b\",\n",
+ " \"post-conflict\": \"#90be6d\",\n",
+ " \"transitional\": \"#f9c74f\",\n",
+ "}\n",
+ "\n",
+ "countries = solar_by_phase_year[\"Country\"].unique()\n",
+ "num_countries = len(countries)\n",
+ "\n",
+ "# Set up subplots: 3 countries per row\n",
+ "ncols = 3\n",
+ "nrows = (num_countries + ncols - 1) // ncols\n",
+ "fig, axes = plt.subplots(nrows=nrows, ncols=ncols, figsize=(18, 5 * nrows), sharex=True)\n",
+ "axes = axes.flatten()\n",
+ "\n",
+ "for idx, country in enumerate(countries):\n",
+ " ax = axes[idx]\n",
+ " subset = solar_by_phase_year[solar_by_phase_year[\"Country\"] == country]\n",
+ "\n",
+ " for phase in subset[\"Conflict Phase\"].unique():\n",
+ " phase_data = subset[subset[\"Conflict Phase\"] == phase]\n",
+ " ax.plot(\n",
+ " phase_data[\"Year\"],\n",
+ " phase_data[\"Electricity Installed Capacity (MW)\"],\n",
+ " label=phase,\n",
+ " color=phase_colors.get(phase, \"#999999\"), # default gray if not in dict\n",
+ " marker=\"o\",\n",
+ " )\n",
+ "\n",
+ " ax.set_title(f\"{country}\", fontsize=14, fontweight=\"bold\")\n",
+ " ax.set_ylabel(\"Capacity (MW)\", fontsize=10)\n",
+ " ax.grid(True)\n",
+ " ax.legend(fontsize=9)\n",
+ "\n",
+ "# Hide unused subplots\n",
+ "for j in range(idx + 1, len(axes)):\n",
+ " fig.delaxes(axes[j])\n",
+ "\n",
+ "plt.xlabel(\"Year\", fontsize=12)\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "204095dc",
+ "metadata": {},
+ "source": [
+ "| Archetype | Countries | Key Traits |\n",
+ "| -------------------------------- | ----------------------------------------------- | -------------------------------------------------------------- |\n",
+ "| **Conflict-Fueled Growth** | Ukraine, Yemen, Syria, Sudan | Surging solar adoption during crisis; energy independence push |\n",
+ "| **Recovery-Driven Growth** | Iraq, South Sudan, Afghanistan | Modest conflict-period adoption, rising sharply post-conflict |\n",
+ "| **Growth Stalled Post-Conflict** | Ukraine (dip), Yemen (plateau), Syria (no data) | Halts due to ongoing challenges and active conflict |\n",
+ "| **Fragile, Flat Growth** | Libya, Ethiopia | Limited adoption in all phases; needs stability & investment |\n",
+ "\n",
+ "**Key Finding:**\n",
+ "> The visual patterns confirm that solar energy plays different roles depending on conflict context: as a lifeline during chaos, a tool for recovery, or a missed opportunity where instability lingers.\n",
+ "Countries that harnessed the urgency of conflict to invest in solar (e.g., Ukraine, Yemen) saw rapid expansion — but sustaining that growth post-conflict depends on political stability, institutional readiness, and external support continuity."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "d7efa8b1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 13. Average Solar Capacity by Conflict Phase and Grid Type with and without Ukraine\n",
+ "\n",
+ "# --- 1. Define custom color palette for grid types ---\n",
+ "grid_palette = {\n",
+ " \"On-grid electricity\": \"#0077b6\", # Electric Blue\n",
+ " \"Off-grid electricity\": \"#f9a825\", # Amber/Orange\n",
+ "}\n",
+ "\n",
+ "# --- 2. Background color for each conflict phase ---\n",
+ "bg_colors = {\n",
+ " \"pre-conflict\": \"#8ecae6\", # light blue\n",
+ " \"active-conflict\": \"#ff6b6b\", # coral red\n",
+ " \"post-conflict\": \"#90be6d\", # green\n",
+ " \"transitional\": \"#f9c74f\", # orange-yellow\n",
+ "}\n",
+ "\n",
+ "\n",
+ "# --- 3. Function to prepare grouped data ---\n",
+ "def group_avg(df):\n",
+ " return (\n",
+ " df.groupby([\"Conflict Phase\", \"Producer Type\"])[\n",
+ " \"Electricity Installed Capacity (MW)\"\n",
+ " ]\n",
+ " .mean()\n",
+ " .reset_index()\n",
+ " )\n",
+ "\n",
+ "\n",
+ "# --- 4. Split dataframes ---\n",
+ "with_ukraine = solar_df.copy()\n",
+ "without_ukraine = solar_df[solar_df[\"Country\"] != \"Ukraine\"]\n",
+ "\n",
+ "# --- 5. Grouped data ---\n",
+ "avg_with = group_avg(with_ukraine)\n",
+ "avg_without = group_avg(without_ukraine)\n",
+ "\n",
+ "# --- 6. Plot side-by-side ---\n",
+ "fig, axes = plt.subplots(1, 2, figsize=(16, 6), sharey=True)\n",
+ "\n",
+ "for ax, avg_data, title in zip(\n",
+ " axes,\n",
+ " [avg_with, avg_without],\n",
+ " [\"Including Ukraine\", \"Excluding Ukraine\"],\n",
+ "):\n",
+ " phases = avg_data[\"Conflict Phase\"].unique()\n",
+ " for i, phase in enumerate(phases):\n",
+ " ax.axvspan(i - 0.5, i + 0.5, color=bg_colors.get(phase, \"#ccc\"), alpha=0.15)\n",
+ "\n",
+ " sns.barplot(\n",
+ " data=avg_data,\n",
+ " x=\"Conflict Phase\",\n",
+ " y=\"Electricity Installed Capacity (MW)\",\n",
+ " hue=\"Producer Type\",\n",
+ " palette=grid_palette,\n",
+ " edgecolor=\"black\",\n",
+ " ax=ax,\n",
+ " )\n",
+ "\n",
+ " ax.set_title(title, fontsize=14)\n",
+ " ax.set_xlabel(\"Conflict Phase\")\n",
+ " ax.set_ylabel(\"Avg Installed Capacity (MW)\")\n",
+ " ax.grid(axis=\"y\", linestyle=\"--\", alpha=0.5)\n",
+ "\n",
+ "# Shared legend\n",
+ "handles, labels = axes[0].get_legend_handles_labels()\n",
+ "fig.legend(handles, labels, title=\"Grid Type\", loc=\"upper center\", ncol=2)\n",
+ "fig.suptitle(\"Average Solar PV Capacity by Conflict Phase and Grid Type\", fontsize=16)\n",
+ "plt.tight_layout(rect=[0, 0, 1, 0.93])\n",
+ "plt.show()\n",
+ "\n",
+ "\n",
+ "# Solar Energy Adoption in on-grid and off-grid systems\n",
+ "# Ensure Year is int\n",
+ "solar_df[\"Year\"] = solar_df[\"Year\"].astype(int)\n",
+ "\n",
+ "# Define phase colors\n",
+ "colors = {\n",
+ " \"pre-conflict\": \"#8ecae6\", # light blue\n",
+ " \"active-conflict\": \"#ff6b6b\", # coral red\n",
+ " \"post-conflict\": \"#90be6d\", # green\n",
+ " \"transitional\": \"#f9c74f\", # orange-yellow\n",
+ "}\n",
+ "\n",
+ "# List of countries\n",
+ "countries = [\n",
+ " \"Iraq\",\n",
+ " \"Afghanistan\",\n",
+ " \"Libya\",\n",
+ " \"Yemen\",\n",
+ " \"Ukraine\",\n",
+ " \"Ethiopia\",\n",
+ " \"South Sudan\",\n",
+ " \"Sudan (the)\",\n",
+ " \"Syrian Arab Republic (the)\",\n",
+ "]\n",
+ "\n",
+ "\n",
+ "# Helper function to shade based on Conflict Phase column\n",
+ "def add_shaded_background(ax, years, phases):\n",
+ " for year, phase in zip(years, phases):\n",
+ " if pd.isna(phase):\n",
+ " continue\n",
+ " color = colors.get(phase, \"#cccccc\")\n",
+ " ax.axvspan(year - 0.5, year + 0.5, color=color, alpha=0.2)\n",
+ "\n",
+ "\n",
+ "# Function to generate plots\n",
+ "def plot_conflict_solar(dataframe, producer_type_filter, title):\n",
+ " filtered_df = dataframe[\n",
+ " dataframe[\"Producer Type\"].str.lower().str.contains(producer_type_filter)\n",
+ " ]\n",
+ "\n",
+ " fig, axes = plt.subplots(3, 3, figsize=(18, 12))\n",
+ " axes = axes.flatten()\n",
+ "\n",
+ " for i, country in enumerate(countries):\n",
+ " ax = axes[i]\n",
+ " country_df = filtered_df[filtered_df[\"Country\"] == country]\n",
+ "\n",
+ " if country_df.empty:\n",
+ " ax.set_visible(False)\n",
+ " continue\n",
+ "\n",
+ " # Sort by year\n",
+ " country_df = country_df.sort_values(\"Year\")\n",
+ "\n",
+ " # Plot line\n",
+ " ax.plot(\n",
+ " country_df[\"Year\"],\n",
+ " country_df[\"Electricity Installed Capacity (MW)\"],\n",
+ " marker=\"o\",\n",
+ " color=\"#264653\",\n",
+ " label=\"Installed Capacity\",\n",
+ " )\n",
+ "\n",
+ " # Shade conflict background using Conflict Phase column\n",
+ " add_shaded_background(ax, country_df[\"Year\"], country_df[\"Conflict Phase\"])\n",
+ "\n",
+ " ax.set_title(country, fontsize=13, fontweight=\"bold\")\n",
+ " ax.set_xlabel(\"Year\")\n",
+ " ax.set_ylabel(\"Capacity (MW)\")\n",
+ " ax.grid(True, linestyle=\"--\", alpha=0.6)\n",
+ " ax.legend(loc=\"upper left\", fontsize=\"x-small\", frameon=True)\n",
+ "\n",
+ " # Hide any unused plots\n",
+ " for j in range(len(countries), len(axes)):\n",
+ " axes[j].set_visible(False)\n",
+ "\n",
+ " fig.suptitle(title, fontsize=16, fontweight=\"bold\")\n",
+ " plt.tight_layout(rect=[0, 0.03, 1, 0.97])\n",
+ " plt.show()\n",
+ "\n",
+ "\n",
+ "# 🔹 Plot On-grid\n",
+ "plot_conflict_solar(solar_df, \"on-grid\", \"On-grid Solar Adoption in Conflict Countries\")\n",
+ "\n",
+ "# 🔸 Plot Off-grid\n",
+ "plot_conflict_solar(\n",
+ " solar_df, \"off-grid\", \"Off-grid Solar Adoption in Conflict Countries\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4ff09045",
+ "metadata": {},
+ "source": [
+ " **Key Findings**\n",
+ "\n",
+ "**1. Solar Energy Grows During Wars**\n",
+ "Contrary to expectations, most countries install more solar capacity during active conflicts rather than before or after them. This suggests solar becomes essential when traditional energy systems are disrupted.\n",
+ "\n",
+ "**2. Large-Scale Projects Dominate**\n",
+ "Grid-connected solar installations are much larger (1,600 MW average) than small off-grid systems (50 MW average) even during conflicts, showing that major infrastructure projects continue during wars.\n",
+ "\n",
+ "**3. Every Country is Different** \n",
+ "Each conflict-affected country shows a unique solar adoption pattern - some surge dramatically (Ukraine, Iraq), others grow steadily (Afghanistan, Yemen), and some remain stable (Libya).\n",
+ "\n",
+ "**4. Post-War Solar Drops**\n",
+ "Solar capacity often decreases after conflicts end, indicating that war-time installations may be driven by emergency needs or special funding that doesn't continue into peacetime.\n",
+ "\n",
+ "**5. Conflict Creates Solar Opportunities**\n",
+ "Wars appear to create conditions that favor solar adoption - possibly due to energy security needs, international aid, or solar's ability to be deployed quickly in unstable situations.\n",
+ "\n",
+ "**Bottom Line**: Conflict zones may be unexpectedly important markets for solar energy, but sustained growth requires planning beyond the immediate crisis period."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "168158b3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 14.High vs Low Capacity\n",
+ "# Ukraine has much higher capacity than others, so we separate it\n",
+ "high_capacity_countries = [\"Ukraine\"]\n",
+ "\n",
+ "# Getting all unique country names from our data\n",
+ "all_countries = solar_df[\"Country\"].unique()\n",
+ "\n",
+ "# Creating a list of countries that are NOT Ukraine (the low capacity ones)\n",
+ "low_capacity_countries = []\n",
+ "for country in all_countries:\n",
+ " if country != \"Ukraine\": # If it's not Ukraine\n",
+ " low_capacity_countries.append(country) # Add it to low capacity list\n",
+ "\n",
+ "# Then creating two graphs side by side to see difference\n",
+ "fig, (left_graph, right_graph) = plt.subplots(1, 2, figsize=(16, 6))\n",
+ "# 1 = one row, 2 = two columns, figsize makes it wide enough for both\n",
+ "\n",
+ "# The LEFT graph (for high capacity countries)\n",
+ "# Filter our data to only include Ukraine\n",
+ "ukraine_data = solar_df[solar_df[\"Country\"] == \"Ukraine\"]\n",
+ "\n",
+ "# Plotting Ukraine's data on the left graph\n",
+ "sns.lineplot(\n",
+ " data=ukraine_data,\n",
+ " x=\"Year\",\n",
+ " y=\"Electricity Installed Capacity (MW)\",\n",
+ " hue=\"Country\",\n",
+ " ax=left_graph,\n",
+ ")\n",
+ "\n",
+ "# Adding labels to the left graph\n",
+ "left_graph.set_title(\"High Capacity Country: Ukraine\")\n",
+ "left_graph.set_ylabel(\"Installed Capacity (MW)\")\n",
+ "left_graph.set_xlabel(\"Year\")\n",
+ "\n",
+ "# The RIGHT graph (for low capacity countries)\n",
+ "# Filter our data to exclude Ukraine (keep all others)\n",
+ "other_countries_data = solar_df[solar_df[\"Country\"] != \"Ukraine\"]\n",
+ "\n",
+ "# Plotting all other countries 8 on the right graph\n",
+ "sns.lineplot(\n",
+ " data=other_countries_data,\n",
+ " x=\"Year\",\n",
+ " y=\"Electricity Installed Capacity (MW)\",\n",
+ " hue=\"Country\",\n",
+ " ax=right_graph,\n",
+ ")\n",
+ "\n",
+ "# Add labels to the right graph\n",
+ "right_graph.set_title(\"Low Capacity Countries\")\n",
+ "right_graph.set_ylabel(\"Installed Capacity (MW)\")\n",
+ "right_graph.set_xlabel(\"Year\")\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()\n",
+ "\n",
+ "# - Left graph: Ukraine's dramatic growth (large numbers)\n",
+ "# - Right graph: All other countries (smaller numbers, but now visible!)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7131a3f7",
+ "metadata": {},
+ "source": [
+ "**Key Finding:** \n",
+ " _Ukraine's solar energy_ capacity is dramatically higher than all other countries in the dataset, with over _8,000 MW_ by 2024 compared to less than _250 MW_ for any other country. \n",
+ " \n",
+ " This 30-40x difference is so extreme that Ukraine must be analyzed separately from other countries (Libya, Syria, Sudan, Ethiopia, South Sudan, Afghanistan, Iraq, Yemen) to make meaningful comparisons, as Ukraine's exponential growth from 2016-2022 completely dominates the scale and obscures patterns in the remaining countries."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "463da69b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 15. Heat map for countries with similar pattern\n",
+ "# Assuming you have solar_df defined. If not, create sample data:\n",
+ "# Sample data creation for demonstration (remove this if you have actual data)\n",
+ "if \"solar_df\" not in locals():\n",
+ " np.random.seed(42)\n",
+ " countries = [\n",
+ " \"Ukraine\",\n",
+ " \"Yemen\",\n",
+ " \"Sudan (the)\",\n",
+ " \"Ethiopia\",\n",
+ " \"Iraq\",\n",
+ " \"Syrian Arab Republic (the)\",\n",
+ " \"South Sudan\",\n",
+ " \"Afghanistan\",\n",
+ " \"Libya\",\n",
+ " ]\n",
+ " years = list(range(2010, 2024))\n",
+ "\n",
+ " sample_data = []\n",
+ " for country in countries:\n",
+ " base_capacity = np.random.uniform(50, 200)\n",
+ " for i, year in enumerate(years):\n",
+ " # Create different growth patterns for different countries\n",
+ " if country == \"Ukraine\":\n",
+ " capacity = base_capacity * (1.3**i) # High growth\n",
+ " elif country in [\"Yemen\", \"Sudan (the)\"]:\n",
+ " capacity = base_capacity * (1.15**i) # Moderate growth\n",
+ " elif country in [\"Ethiopia\", \"Iraq\"]:\n",
+ " capacity = (\n",
+ " base_capacity * (1.1**i) if i > 5 else base_capacity\n",
+ " ) # Late growth\n",
+ " else:\n",
+ " capacity = base_capacity * (1.02**i) # Slow growth\n",
+ "\n",
+ " capacity += np.random.uniform(-10, 10) # Add some noise\n",
+ " capacity = max(0, capacity) # Ensure non-negative\n",
+ "\n",
+ " sample_data.append(\n",
+ " {\n",
+ " \"Country\": country,\n",
+ " \"Year\": year,\n",
+ " \"Electricity Installed Capacity (MW)\": capacity,\n",
+ " }\n",
+ " )\n",
+ "\n",
+ " solar_df = pd.DataFrame(sample_data)\n",
+ "\n",
+ "# 15. Heat map for countries with similar pattern\n",
+ "# Step 1: Prepare the data for heatmap format\n",
+ "heatmap_data = solar_df.pivot_table(\n",
+ " index=\"Country\",\n",
+ " columns=\"Year\",\n",
+ " values=\"Electricity Installed Capacity (MW)\",\n",
+ " fill_value=0,\n",
+ ")\n",
+ "\n",
+ "\n",
+ "# Step 2: Calculate year-over-year growth rates\n",
+ "def calculate_growth_rates(data):\n",
+ " growth_data = data.copy()\n",
+ " growth_data.iloc[:, 0] = 0 # First year = 0% growth\n",
+ " for country in growth_data.index:\n",
+ " for i in range(1, len(growth_data.columns)):\n",
+ " prev_year = growth_data.columns[i - 1]\n",
+ " curr_year = growth_data.columns[i]\n",
+ " prev_capacity = data.loc[country, prev_year]\n",
+ " curr_capacity = data.loc[country, curr_year]\n",
+ " if prev_capacity == 0:\n",
+ " growth_data.loc[country, curr_year] = 500 if curr_capacity > 0 else 0\n",
+ " else:\n",
+ " growth_rate = ((curr_capacity - prev_capacity) / prev_capacity) * 100\n",
+ " growth_data.loc[country, curr_year] = min(max(growth_rate, -100), 500)\n",
+ " return growth_data\n",
+ "\n",
+ "\n",
+ "all_growth_data = calculate_growth_rates(heatmap_data)\n",
+ "\n",
+ "# Step 3: Group countries by similar patterns\n",
+ "ukraine_growth = all_growth_data[all_growth_data.index == \"Ukraine\"]\n",
+ "group2_growth = all_growth_data[all_growth_data.index.isin([\"Yemen\", \"Sudan (the)\"])]\n",
+ "group3_growth = all_growth_data[all_growth_data.index.isin([\"Ethiopia\", \"Iraq\"])]\n",
+ "group4_growth = all_growth_data[\n",
+ " all_growth_data.index.isin([\"Syrian Arab Republic (the)\", \"South Sudan\"])\n",
+ "]\n",
+ "group5_growth = all_growth_data[all_growth_data.index.isin([\"Afghanistan\", \"Libya\"])]\n",
+ "\n",
+ "# Step 4: Plot heatmaps\n",
+ "fig, axes = plt.subplots(5, 1, figsize=(20, 24))\n",
+ "\n",
+ "heatmap_params = {\n",
+ " \"cmap\": \"RdYlGn\",\n",
+ " \"center\": 0,\n",
+ " \"linewidths\": 0.5,\n",
+ " \"linecolor\": \"white\",\n",
+ " \"square\": False,\n",
+ " \"fmt\": \".0f\",\n",
+ "}\n",
+ "\n",
+ "# Ukraine heatmap\n",
+ "if not ukraine_growth.empty:\n",
+ " ukraine_min = ukraine_growth.min().min()\n",
+ " ukraine_max = ukraine_growth.max().max()\n",
+ "\n",
+ " sns.heatmap(\n",
+ " ukraine_growth,\n",
+ " annot=True,\n",
+ " annot_kws={\"fontsize\": 8},\n",
+ " cbar_kws={\"label\": \"Growth Rate (%)\"},\n",
+ " ax=axes[0],\n",
+ " **heatmap_params,\n",
+ " )\n",
+ " axes[0].set_title(\n",
+ " \"Ukraine - Massive Scale Leader\\nRange: {:.1f}% to {:.1f}%\".format(\n",
+ " ukraine_min, ukraine_max\n",
+ " ),\n",
+ " fontsize=12,\n",
+ " fontweight=\"bold\",\n",
+ " pad=15,\n",
+ " )\n",
+ "else:\n",
+ " axes[0].text(\n",
+ " 0.5,\n",
+ " 0.5,\n",
+ " \"No Ukraine data available\",\n",
+ " ha=\"center\",\n",
+ " va=\"center\",\n",
+ " transform=axes[0].transAxes,\n",
+ " )\n",
+ "\n",
+ "# Group 2 heatmap\n",
+ "if not group2_growth.empty:\n",
+ " group2_min = group2_growth.min().min()\n",
+ " group2_max = group2_growth.max().max()\n",
+ "\n",
+ " sns.heatmap(\n",
+ " group2_growth,\n",
+ " annot=False,\n",
+ " cbar_kws={\"label\": \"Growth Rate (%)\"},\n",
+ " ax=axes[1],\n",
+ " **heatmap_params,\n",
+ " )\n",
+ " axes[1].set_title(\n",
+ " \"High-Growth Success Stories (Yemen, Sudan)\\nRange: {:.1f}% to {:.1f}%\".format(\n",
+ " group2_min, group2_max\n",
+ " ),\n",
+ " fontsize=12,\n",
+ " fontweight=\"bold\",\n",
+ " pad=15,\n",
+ " )\n",
+ "else:\n",
+ " axes[1].text(\n",
+ " 0.5,\n",
+ " 0.5,\n",
+ " \"No Group 2 data available\",\n",
+ " ha=\"center\",\n",
+ " va=\"center\",\n",
+ " transform=axes[1].transAxes,\n",
+ " )\n",
+ "\n",
+ "# Group 3 heatmap\n",
+ "if not group3_growth.empty:\n",
+ " group3_min = group3_growth.min().min()\n",
+ " group3_max = group3_growth.max().max()\n",
+ "\n",
+ " sns.heatmap(\n",
+ " group3_growth,\n",
+ " annot=False,\n",
+ " cbar_kws={\"label\": \"Growth Rate (%)\"},\n",
+ " ax=axes[2],\n",
+ " **heatmap_params,\n",
+ " )\n",
+ " axes[2].set_title(\n",
+ " \"Rapid Recent Accelerators (Ethiopia, Iraq)\\nRange: {:.1f}% to {:.1f}%\".format(\n",
+ " group3_min, group3_max\n",
+ " ),\n",
+ " fontsize=12,\n",
+ " fontweight=\"bold\",\n",
+ " pad=15,\n",
+ " )\n",
+ "else:\n",
+ " axes[2].text(\n",
+ " 0.5,\n",
+ " 0.5,\n",
+ " \"No Group 3 data available\",\n",
+ " ha=\"center\",\n",
+ " va=\"center\",\n",
+ " transform=axes[2].transAxes,\n",
+ " )\n",
+ "\n",
+ "# Group 4 heatmap\n",
+ "if not group4_growth.empty:\n",
+ " group4_min = group4_growth.min().min()\n",
+ " group4_max = group4_growth.max().max()\n",
+ "\n",
+ " sns.heatmap(\n",
+ " group4_growth,\n",
+ " annot=False,\n",
+ " cbar_kws={\"label\": \"Growth Rate (%)\"},\n",
+ " ax=axes[3],\n",
+ " **heatmap_params,\n",
+ " )\n",
+ " axes[3].set_title(\n",
+ " \"Moderate Late Adopters (Syria, South Sudan)\\nRange: {:.1f}% to {:.1f}%\".format(\n",
+ " group4_min, group4_max\n",
+ " ),\n",
+ " fontsize=12,\n",
+ " fontweight=\"bold\",\n",
+ " pad=15,\n",
+ " )\n",
+ "else:\n",
+ " axes[3].text(\n",
+ " 0.5,\n",
+ " 0.5,\n",
+ " \"No Group 4 data available\",\n",
+ " ha=\"center\",\n",
+ " va=\"center\",\n",
+ " transform=axes[3].transAxes,\n",
+ " )\n",
+ "\n",
+ "# Group 5 heatmap\n",
+ "if not group5_growth.empty:\n",
+ " group5_min = group5_growth.min().min()\n",
+ " group5_max = group5_growth.max().max()\n",
+ "\n",
+ " sns.heatmap(\n",
+ " group5_growth,\n",
+ " annot=False,\n",
+ " cbar_kws={\"label\": \"Growth Rate (%)\"},\n",
+ " ax=axes[4],\n",
+ " **heatmap_params,\n",
+ " )\n",
+ " axes[4].set_title(\n",
+ " \"Minimal Development (Afghanistan, Libya)\\nRange: {:.1f}% to {:.1f}%\".format(\n",
+ " group5_min, group5_max\n",
+ " ),\n",
+ " fontsize=12,\n",
+ " fontweight=\"bold\",\n",
+ " pad=15,\n",
+ " )\n",
+ "else:\n",
+ " axes[4].text(\n",
+ " 0.5,\n",
+ " 0.5,\n",
+ " \"No Group 5 data available\",\n",
+ " ha=\"center\",\n",
+ " va=\"center\",\n",
+ " transform=axes[4].transAxes,\n",
+ " )\n",
+ "\n",
+ "# Customize all axes\n",
+ "for ax in axes:\n",
+ " ax.set_xlabel(\"Year\", fontsize=10, fontweight=\"bold\")\n",
+ " ax.set_ylabel(\"Country\", fontsize=10, fontweight=\"bold\")\n",
+ " ax.tick_params(axis=\"x\", rotation=45, labelsize=8)\n",
+ " ax.tick_params(axis=\"y\", rotation=0, labelsize=8)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "92c175e0",
+ "metadata": {},
+ "source": [
+ "**Key Findings:**\n",
+ "\n",
+ " **When Countries Started Building Solar Power**\n",
+ "\n",
+ " **Time Periods**\n",
+ "1. **2009-2010**: Ukraine and Afghanistan started big projects\n",
+ "2. **2004-2006**: Sudan began building solar power\n",
+ "3. **2018-2022**: Yemen and Iraq got serious about solar\n",
+ "4. **2020-2025**: Syria and South Sudan joined in recently\n",
+ "\n",
+ " **How Fast They Grew**\n",
+ "\n",
+ " **Growth Speed**\n",
+ "- **500% growth**: Means they built A LOT very quickly (like going from 1 to 5 solar farms)\n",
+ "- **Steady vs. Stop-and-Go**: Ukraine and Yemen kept building consistently; others built in short bursts then stopped\n",
+ "- **Negative growth**: Sometimes they had less solar power than before (maybe some broke down)\n",
+ "\n",
+ " **Three Waves of Countries**\n",
+ "\n",
+ " **The Waves**\n",
+ "1. **Early Starters (2004–2010)**: Sudan, Ukraine, Afghanistan & Ethiopia went first \n",
+ "→ _These countries had the most time to grow solar but only Ukraine sustained it._\n",
+ "2. **Middle Joiners (2015–2018):** Syria, South Sudan joined later \n",
+ "→ _Late to start, with minimal long-term growth._ \n",
+ "3.**Recent Joiners (2018–2025):** Yemen, Iraq are newest \n",
+ "→ _Sharp increases in short time; future potential._\n",
+ "1. **Barely Tried:** Libya hardly built any solar \n",
+ "→ _Very low adoption overall._\n",
+ "\n",
+ " **Main Point**\n",
+ "All countries can grow solar power really fast when they start (500% growth), but most countries only did it for a short time and then stopped. Ukraine was the only one that kept building solar power for many years, which is why they have so much more than everyone else."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "50282671",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# 16. Economic Status Mapping\n",
+ "# Define economic status mapping\n",
+ "income_status = {\n",
+ " \"Syrian Arab Republic (The)\": \"Low income\",\n",
+ " \"Iraq\": \"Upper-middle income\",\n",
+ " \"Sudan (The)\": \"Lower-middle income\",\n",
+ " \"South Sudan\": \"Low income\",\n",
+ " \"Ethiopia\": \"Low income\",\n",
+ " \"Ukraine\": \"Lower-middle income\",\n",
+ " \"Yemen\": \"Low income\",\n",
+ " \"Libya\": \"Upper-middle income\",\n",
+ " \"Afghanistan\": \"Low income\",\n",
+ "}\n",
+ "\n",
+ "# Apply the mapping\n",
+ "df[\"Economic Status\"] = df.index.map(income_status)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "0880beb4",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "
Region
\n",
+ "
Sub-region
\n",
+ "
Country
\n",
+ "
ISO3 code
\n",
+ "
RE or Non-RE
\n",
+ "
Group Technology
\n",
+ "
Technology
\n",
+ "
Sub-Technology
\n",
+ "
Producer Type
\n",
+ "
Year
\n",
+ "
Electricity Installed Capacity (MW)
\n",
+ "
Conflict Phase
\n",
+ "
Economic Status
\n",
+ "
\n",
+ " \n",
+ " \n",
+ "
\n",
+ "
0
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Non-Renewable
\n",
+ "
Fossil fuels
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Off-grid electricity
\n",
+ "
2000
\n",
+ "
26.927
\n",
+ "
pre-conflict
\n",
+ "
Low income
\n",
+ "
\n",
+ "
\n",
+ "
1
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Non-Renewable
\n",
+ "
Fossil fuels
\n",
+ "
Oil
\n",
+ "
Oil
\n",
+ "
On-grid electricity
\n",
+ "
2000
\n",
+ "
2.798
\n",
+ "
pre-conflict
\n",
+ "
Low income
\n",
+ "
\n",
+ "
\n",
+ "
2
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Renewable
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Renewable hydropower
\n",
+ "
Renewable hydropower
\n",
+ "
Off-grid electricity
\n",
+ "
2000
\n",
+ "
0.003
\n",
+ "
pre-conflict
\n",
+ "
Low income
\n",
+ "
\n",
+ "
\n",
+ "
3
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Renewable
\n",
+ "
Hydropower (excl. Pumped Storage)
\n",
+ "
Renewable hydropower
\n",
+ "
Renewable hydropower
\n",
+ "
On-grid electricity
\n",
+ "
2000
\n",
+ "
191.500
\n",
+ "
pre-conflict
\n",
+ "
Low income
\n",
+ "
\n",
+ "
\n",
+ "
4
\n",
+ "
Asia
\n",
+ "
Southern Asia
\n",
+ "
Afghanistan
\n",
+ "
AFG
\n",
+ "
Total Non-Renewable
\n",
+ "
Fossil fuels
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Fossil fuels n.e.s.
\n",
+ "
Off-grid electricity
\n",
+ "
2001
\n",
+ "
26.927
\n",
+ "
active-conflict
\n",
+ "
Low income
\n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Region Sub-region Country ISO3 code RE or Non-RE \\\n",
+ "0 Asia Southern Asia Afghanistan AFG Total Non-Renewable \n",
+ "1 Asia Southern Asia Afghanistan AFG Total Non-Renewable \n",
+ "2 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "3 Asia Southern Asia Afghanistan AFG Total Renewable \n",
+ "4 Asia Southern Asia Afghanistan AFG Total Non-Renewable \n",
+ "\n",
+ " Group Technology Technology \\\n",
+ "0 Fossil fuels Fossil fuels n.e.s. \n",
+ "1 Fossil fuels Oil \n",
+ "2 Hydropower (excl. Pumped Storage) Renewable hydropower \n",
+ "3 Hydropower (excl. Pumped Storage) Renewable hydropower \n",
+ "4 Fossil fuels Fossil fuels n.e.s. \n",
+ "\n",
+ " Sub-Technology Producer Type Year \\\n",
+ "0 Fossil fuels n.e.s. Off-grid electricity 2000 \n",
+ "1 Oil On-grid electricity 2000 \n",
+ "2 Renewable hydropower Off-grid electricity 2000 \n",
+ "3 Renewable hydropower On-grid electricity 2000 \n",
+ "4 Fossil fuels n.e.s. Off-grid electricity 2001 \n",
+ "\n",
+ " Electricity Installed Capacity (MW) Conflict Phase Economic Status \n",
+ "0 26.927 pre-conflict Low income \n",
+ "1 2.798 pre-conflict Low income \n",
+ "2 0.003 pre-conflict Low income \n",
+ "3 191.500 pre-conflict Low income \n",
+ "4 26.927 active-conflict Low income "
+ ]
+ },
+ "execution_count": 19,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df[\"Economic Status\"] = df[\"Country\"].map(income_status)\n",
+ "df.head()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cd554fba",
+ "metadata": {},
+ "source": [
+ "Note: Ukraine was excluded from this chart due to its disproportionate pre-conflict solar capacity, which skews comparisons. This allows a clearer look at how economic status influences solar adoption trends in low- and lower-middle-income countries facing conflict."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
+ "id": "5b48af30",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "C:\\Users\\Lenovo\\AppData\\Local\\Temp\\ipykernel_9800\\359883541.py:46: FutureWarning: \n",
+ "\n",
+ "The `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n",
+ "\n",
+ " sns.barplot(\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# 17. Average Solar Capacity by Conflict Phase and Economic Status (excluding Ukraine)\n",
+ "# Step 1: Group and pivot your data (your original code)\n",
+ "solar_by_phase = (\n",
+ " solar_df.groupby([\"Country\", \"Conflict Phase\"])[\n",
+ " \"Electricity Installed Capacity (MW)\"\n",
+ " ]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "solar_pivot = solar_by_phase.pivot(\n",
+ " index=\"Country\",\n",
+ " columns=\"Conflict Phase\",\n",
+ " values=\"Electricity Installed Capacity (MW)\",\n",
+ ").fillna(0)\n",
+ "\n",
+ "# Step 2: Reset index to get 'Country' as a column\n",
+ "solar_pivot = solar_pivot.reset_index()\n",
+ "\n",
+ "# Step 3: Exclude Ukraine\n",
+ "solar_pivot = solar_pivot[solar_pivot[\"Country\"] != \"Ukraine\"]\n",
+ "\n",
+ "# Step 4: Add Economic Status (World Bank classification or similar)\n",
+ "income_status = {\n",
+ " \"Afghanistan\": \"Low income\",\n",
+ " \"Ethiopia\": \"Low income\",\n",
+ " \"Iraq\": \"Upper-middle income\",\n",
+ " \"Libya\": \"Upper-middle income\",\n",
+ " \"South Sudan\": \"Low income\",\n",
+ " \"Sudan (The)\": \"Lower-middle income\",\n",
+ " \"Syrian Arab Republic (The)\": \"Low income\",\n",
+ " \"Yemen\": \"Low income\",\n",
+ "}\n",
+ "solar_pivot[\"Economic Status\"] = solar_pivot[\"Country\"].map(income_status)\n",
+ "\n",
+ "# Step 5: Melt the DataFrame to long format\n",
+ "solar_melted = solar_pivot.melt(\n",
+ " id_vars=[\"Country\", \"Economic Status\"],\n",
+ " value_vars=[\"pre-conflict\", \"active-conflict\", \"post-conflict\"],\n",
+ " var_name=\"Conflict Phase\",\n",
+ " value_name=\"Installed Capacity (MW)\",\n",
+ ")\n",
+ "\n",
+ "# Step 6: Plot\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "sns.barplot(\n",
+ " data=solar_melted,\n",
+ " x=\"Conflict Phase\",\n",
+ " y=\"Installed Capacity (MW)\",\n",
+ " hue=\"Economic Status\",\n",
+ " estimator=\"mean\",\n",
+ " ci=None,\n",
+ " palette=\"Set2\",\n",
+ ")\n",
+ "plt.title(\n",
+ " \"Average Solar Capacity by Conflict Phase and Economic Status (excluding Ukraine)\"\n",
+ ")\n",
+ "plt.ylabel(\"Avg. Installed Capacity (MW)\")\n",
+ "plt.xlabel(\"Conflict Phase\")\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "08f84cc5",
+ "metadata": {},
+ "source": [
+ "\n",
+ "- During **active conflict**, solar energy use often **increases**, especially in **poorer countries**.\n",
+ "- This happens because regular power systems are damaged, and people turn to **off-grid solar solutions**.\n",
+ "- **Aid groups** also help by providing solar panels for things like clinics or refugee camps.\n",
+ "\n",
+ "- After the conflict ends, the pattern is **uneven**:\n",
+ " - **Richer countries** often keep growing their solar use.\n",
+ " - **Poorer countries** may fall behind due to **lack of money and support**.\n",
+ "\n",
+ " This shows that conflict doesn't always stop progress — sometimes it can actually **speed up the use of solar energy**.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f128c373",
+ "metadata": {},
+ "source": [
+ "**Overall Pattern of Solar Adoption Across Conflict Phases**: \n",
+ "| Pattern Type | Description | Countries |\n",
+ "| -------------------------- | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |\n",
+ "| **Consistent Growth** | Countries that sustained or increased solar investment during both active and post-conflict phases | **Iraq**, **Afghanistan**, **South Sudan** |\n",
+ "| **Conflict-Driven Surge** | Countries where solar adoption peaked **during** conflict but dropped or stopped **after** | **Ukraine**, **Yemen**, **Sudan**, **Syria** |\n",
+ "| **Post-Conflict Recovery** | Countries with **low or moderate** solar growth during conflict, but **modest recovery afterward** | **Ethiopia**, **Libya** |\n",
+ "| **Stalled Development** | Countries with **low or no adoption** in both periods, often due to prolonged instability | **None fully fit this**, but **Libya** and **South Sudan** were on the borderline early on |\n",
+ "\n",
+ "\n",
+ "\n",
+ "**What These Patterns Suggest**:\n",
+ "\n",
+ "- Conflict does not automatically suppress development — **windows of opportunity** can exist even in fragile settings.\n",
+ "- **Recovery capacity** varies widely; some countries rebound with aid or reform, others remain paralyzed.\n",
+ "- Strategic, resilient infrastructure development is possible — but often hinges on **timing, governance, and stability**.\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/4_data_analysis/phases_analysis/2_non_tech_exp.md b/4_data_analysis/phases_analysis/2_non_tech_exp.md
new file mode 100644
index 000000000..2a1f55a60
--- /dev/null
+++ b/4_data_analysis/phases_analysis/2_non_tech_exp.md
@@ -0,0 +1,69 @@
+
+
+
+## Non- Technical Explanation
+
+Answering the question:
+**"How have armed conflicts over the past 15 years influenced the deployment, capacity utilization, and household consumption of solar photovoltaic systems—both environmentally and socially—in conflict-affected communities?"**
+
+Sub question analysis:
+**What are the trends in solar energy adoption across the conflict cycle—pre-conflict, active conflict, and post-conflict periods—in conflict-affected countries?**
+
+We analyzed solar energy development in **9 conflict-affected countries** (2000–2024) to understand how war impacts renewable energy growth.
+
+### Key Findings
+
+#### 1. Conflict Often *Increases* Solar Adoption
+
+* **Most solar growth happened during active conflict**, not after peace.
+* Solar is **quick to deploy, independent**, and useful when main power systems break.
+* **Certainty level:** High (Observed in 8 of 9 countries)
+
+#### 2. 🇺🇦 Ukraine Is a Unique Case
+
+* Built **8,200 MW**, far more than any other country (30x higher).
+* Supported by **pro-solar policy, international funding, and industry capacity**.
+* **Certainty level:** Very high (Clear and consistent data)
+
+#### 3. Three Patterns Emerged
+
+* **Crisis Builders**: Rapid growth during war (e.g., Yemen, Sudan)
+* **Recovery Rebuilders**: Growth after conflict ends (e.g., Iraq, Afghanistan)
+* **Slow Starters**: Minimal growth at any time (e.g., Libya, Ethiopia)
+* **Certainty level:** Moderate (Small sample, but strong patterns)
+
+#### 4. Peace ≠ Solar Growth
+
+* Many countries **stopped or slowed solar development after conflict**, often due to instability or lack of funding.
+* **Certainty level:** Medium (Limited post-conflict data)
+
+#### 5. Large Projects Still Happen During War
+
+* **Grid-connected projects dominate**, not just small-scale systems.
+* Solar is treated as **critical infrastructure**, even during war.
+* **Certainty level:** High
+
+#### 6. Conflict Can Push Countries Toward Solar
+
+- **During conflict, solar energy use often increases**, especially in **lower-income countries**.
+- This happens because:
+ - **War damages the main power grid**, making traditional electricity unreliable.
+ - **Solar systems are quicker and easier to install**, especially off-grid setups.
+ - **Aid groups provide solar solutions** for essential services like **hospitals, shelters, and refugee camps**.
+- **After conflict, progress is uneven**:
+ - **Wealthier countries** often continue expanding solar.
+ - **Poorer countries** may fall behind due to **lack of funding and support**.
+- **Takeaway**: Conflict doesn’t always stop progress — in some cases, it can **accelerate the shift to solar energy** out of necessity.
+
+### What Could Be Wrong (Sources of Uncertainty)
+
+* **Some missing or delayed data** during chaotic war periods.
+* **"Conflict period" definitions** may not fully reflect complex realities.
+* **Installed ≠ working** — some reported capacity might not be functional.
+* **Small dataset** (only 9 countries) limits global generalization.
+
+### Bottom Line
+
+* **Main insight**: War often *accelerates* solar energy growth, not stops it.
+* **Big exception**: Ukraine shows how far a country can go with the right policies and support.
+* **Next step**: To sustain momentum, countries need **deliberate post-conflict planning**.
diff --git a/4_data_analysis/phases_analysis/3_tech_exp.md b/4_data_analysis/phases_analysis/3_tech_exp.md
new file mode 100644
index 000000000..ed14701ac
--- /dev/null
+++ b/4_data_analysis/phases_analysis/3_tech_exp.md
@@ -0,0 +1,204 @@
+
+
+## Technical Explanation
+
+
+What We Studied
+
+- **Main question:** How does solar energy adoption vary across different phases of conflict?
+- **Data source:** IRENA (International Renewable Energy Agency) solar capacity database
+- **Countries analyzed:** Ukraine, Yemen, Sudan, Ethiopia, Libya, Syria, Afghanistan, Iraq, South Sudan
+- **Time frame:** 2000–2024 (varies per country)
+- **Metric:** Installed solar photovoltaic capacity (MW)
+
+#### Conflict Phases
+
+Each country’s timeline was divided into:
+
+1. **Pre-conflict:** Before major violence began
+2. **Active-conflict:** During significant unrest
+3. **Post-conflict:** After hostilities decreased (when applicable)
+
+**Note:** This basic division doesn’t reflect:
+
+- Conflict intensity
+- Geographic extent
+- Transitional or low-intensity periods
+
+Such simplification may obscure nuances in complex conflicts.
+
+
+
+
+Our Analytical Methods
+
+### 1. Phase Comparison
+
+**Method:** Averaged solar capacity for each conflict phase
+**Purpose:** Understand which periods saw the most solar development
+
+**Results:**
+
+- Pre-conflict: 146 MW
+- Active-conflict: 5,724 MW *(skewed by Ukraine)*
+- Post-conflict: 136 MW
+
+**Note:** Ukraine’s large capacity (8,000+ MW) inflates the active-conflict average.
+
+---
+
+### 2. Country Grouping
+
+**Method:** Classified countries by solar trends across phases
+**Goal:** Highlight national differences in solar development
+
+**Categories:**
+
+- **Conflict-Fueled Growth:** Increase during conflict (4 countries)
+- **Recovery-Driven Growth:** Surge after conflict (3 countries)
+- **Persistent Low Growth:** Low across all phases (2 countries)
+
+**Consideration:** Groupings are based on observed patterns but involve some interpretation.
+
+---
+
+### 3. Ukraine Outlier Analysis
+
+**Why:** Ukraine’s solar capacity far exceeds others
+**Impact:**
+
+- With Ukraine: Active-conflict average = 5,724 MW
+- Without Ukraine: Active-conflict average = 71 MW
+
+**Justification:** Common practice to handle extreme values separately to preserve clarity.
+
+---
+
+### 4. Linear Regression
+
+**Model:**
+`Solar Growth Rate = Baseline + Conflict Effect + Random Error`
+
+**Outcome:**
+Conflict periods linked to a +1,359 MW increase
+
+**Limitations:**
+
+- Small sample (9 countries)
+- Missing variables (e.g., GDP, aid, policies)
+- Likely statistical violations (non-normal distribution)
+
+---
+
+### 5. Grid vs. Off-Grid Comparison
+
+**Focus:** Differentiated centralized vs. decentralized solar systems
+
+**Findings:**
+
+- Grid-connected average: 1,600 MW
+- Off-grid average: 50 MW
+
+**Conclusion:** Even in conflict, centralized infrastructure dominated solar deployment.
+
+---
+
+### **6. Economic Status by Conflict Status**
+
+**Focus:**
+Compare average solar capacity across conflict phases by income level (excluding Ukraine).
+
+**Findings:**
+- Active-conflict average (low/lower-middle income): ~560–710 MW
+- Post-conflict average (upper-middle income): ~150 MW
+- Post-conflict average (low income): ~50 MW
+
+**Conclusion:**
+During conflict, low and lower-middle income countries had the highest solar growth. Post-conflict trends were uneven across income groups.
+
+---
+
+
+
+Our Statistical Results
+
+### Averages (Excluding Ukraine)
+
+- **Pre-conflict:** 0.9 MW
+- **Active-conflict:** 42.5 MW
+- **Post-conflict:** 33.8 MW
+
+---
+
+### Country-Level Patterns
+
+- **Recovery Growth:** 3 of 6 countries grew post-conflict
+- **Stagnation:** 2 of 6 remained relatively unchanged
+- **Data Gap:** Yemen lacked post-conflict data
+
+---
+
+### Adoption Timeline
+
+Three waves of expansion:
+
+1. **2004–2010:** Sudan, Ukraine, Afghanistan, Ethiopia
+2. **2015–2018:** Syria, South Sudan
+3. **2018–2025:** Yemen, Iraq
+
+Many nations saw **500%+ growth** during these periods.
+
+----
+
+### Economic Status
+
+- Peak average: Lower-middle income countries during active conflict (~710 MW).
+- Sharp drop for low-income countries post-conflict (~560 ➝ 50 MW).
+- Upper-middle income countries show moderate recovery post-conflict.
+- Pre-conflict levels are minimal across all groups.
+
+---
+
+
+### How Reliable Are Our Results?
+
+#### High Confidence
+
+- Ukraine's outlier status
+- General link between conflict and solar adoption
+- Grid vs. off-grid disparity
+
+#### Medium Confidence
+
+- Country groupings
+- Post-conflict growth trends
+- Impact estimates
+
+#### Low Confidence
+
+- Causal interpretations
+- Applicability to other conflict zones
+- Long-term forecasts
+
+
+Recommendations for Better Analysis
+
+### With More Resources
+
+1. Add data on foreign aid, economic conditions, and energy policy
+2. Increase temporal resolution (e.g., monthly, quarterly)
+3. Integrate qualitative case studies
+4. Use advanced causal inference methods
+
+
+
+### Conclusion
+
+Findings are strong within this dataset, but should be interpreted cautiously beyond the included countries.
+
+Our findings reveal distinct patterns in solar development during conflict — especially after adjusting for Ukraine’s outsized influence. Conflict appears correlated with increased solar investment, though causation isn’t confirmed.
+
+We addressed key limitations (e.g., outlier effects), but drawing deeper conclusions requires more granular data and advanced tools.
+
+**Bottom line:**
+Our analysis makes the most of available data. Future research should aim for deeper causal understanding using richer, multi-dimensional datasets.
diff --git a/4_data_analysis/phases_analysis/csv_files/solar_by_country_and_conflict_phase.csv b/4_data_analysis/phases_analysis/csv_files/solar_by_country_and_conflict_phase.csv
new file mode 100644
index 000000000..a1e812ac4
--- /dev/null
+++ b/4_data_analysis/phases_analysis/csv_files/solar_by_country_and_conflict_phase.csv
@@ -0,0 +1,10 @@
+Country,Transitional,active-conflict,post-conflict,pre-conflict
+Afghanistan,0.0,292.01,160.428,0.0
+Ethiopia,0.0,62.55200000000001,42.738,75.132
+Iraq,0.0,175.5,273.032,0.0
+Libya,0.0,39.341,29.332,15.600000000000001
+South Sudan,0.0,9.933,53.394000000000005,0.0
+Sudan (The),713.525,0.0,0.0,0.0
+Syrian Arab Republic (The),228.493,0.0,0.0,0.0
+Ukraine,0.0,48770.376000000004,0.0,1310.7
+Yemen,0.0,2236.023,0.0,2.369
diff --git a/4_data_analysis/phases_analysis/csv_files/solar_renewable_sorted.csv b/4_data_analysis/phases_analysis/csv_files/solar_renewable_sorted.csv
new file mode 100644
index 000000000..be558393f
--- /dev/null
+++ b/4_data_analysis/phases_analysis/csv_files/solar_renewable_sorted.csv
@@ -0,0 +1,155 @@
+Region,Sub-region,Country,ISO3 code,RE or Non-RE,Group Technology,Technology,Sub-Technology,Producer Type,Year,Electricity Installed Capacity (MW),Conflict Phase
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2009,0.002,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2010,0.102,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2011,0.12,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2012,16.122,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2013,16.843,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2014,18.363,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2015,19.011,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2016,20.68,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2017,21.121,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2017,1.7,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2018,20.896,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2018,1.7,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,20.411,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2019,31.7,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,19.833,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2020,31.7,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,20.006,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2021,31.7,active-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,21.776,post-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2022,31.7,post-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,21.776,post-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,31.7,post-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,21.776,post-conflict
+Asia,Southern Asia,Afghanistan,AFG,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,31.7,post-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2007,0.001,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2008,0.001,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2009,0.028,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2010,0.028,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2011,0.335,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2012,1.148,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2013,3.344,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2014,9.131,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2015,9.89,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2016,14.04,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2017,12.494,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2018,12.346,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,12.346,pre-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,20.184,active-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,21.184,active-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,21.184,active-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,21.184,post-conflict
+Africa,Sub-Saharan Africa,Ethiopia,ETH,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,21.554,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2013,29.5,active-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2014,36.5,active-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2015,36.5,active-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2016,36.5,active-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2017,36.5,active-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2018,36.5,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2018,0.576,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,36.5,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2019,0.576,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,36.5,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2020,0.576,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,36.5,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2021,0.576,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,39.0,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2022,2.576,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,39.0,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,2.576,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,39.0,post-conflict
+Asia,Western Asia,Iraq,IRQ,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,2.576,post-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2003,0.2,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2004,0.7,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2005,1.2,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2006,1.7,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2007,2.2,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2008,2.7,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2009,3.2,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2010,3.7,pre-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2011,4.2,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2014,4.9,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2015,4.9,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2016,4.9,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2017,5.11,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2018,5.11,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,5.11,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,5.111,active-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,6.333,post-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,6.333,post-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,6.333,post-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,2.0,post-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,6.333,post-conflict
+Africa,Northern Africa,Libya,LBY,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,2.0,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2013,0.098,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2014,0.098,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2015,0.107,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2016,0.969,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2017,1.411,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2018,1.925,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,2.124,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,2.201,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2020,1.0,active-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,1.987,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2021,1.0,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,2.469,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2022,1.0,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,2.469,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,14.0,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,2.469,post-conflict
+Africa,Sub-Saharan Africa,South Sudan,SSD,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,28.0,post-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2002,0.009,pre-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2003,0.009,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2004,0.105,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2005,0.203,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,80.199,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2019,0.29,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,116.84,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2020,0.29,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,135.57,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2021,0.29,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,135.57,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,54.29,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,135.57,active-conflict
+Africa,Northern Africa,Sudan (The),SDN,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,54.29,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2017,0.127,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2018,1.377,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2019,2.467,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2020,11.522,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2021,33.0,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,2.0,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2022,58.0,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,2.0,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,58.0,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,2.0,active-conflict
+Asia,Western Asia,Syrian Arab Republic (The),SYR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,58.0,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2010,2.5,pre-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2011,188.2,pre-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2012,371.6,pre-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2013,748.4,pre-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2014,819.1,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2015,841.2,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2016,954.7,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2017,1200.0,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2018,2002.688,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2019,5935.688,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2020,7331.0,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2021,8062.0,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2022,8062.0,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,8062.0,active-conflict
+Europe,Eastern Europe,Ukraine,UKR,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,5500.0,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2013,2.369,pre-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2014,5.453,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2015,60.249,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2016,80.634,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2017,103.084,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2018,253.341,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2019,254.16,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2020,257.671,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2021,257.711,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2022,263.73,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2023,269.995,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2023,20.0,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,Off-grid Solar photovoltaic,Off-grid electricity,2024,269.995,active-conflict
+Asia,Western Asia,Yemen,YEM,Total Renewable,Solar energy,Solar photovoltaic,On-grid Solar photovoltaic,On-grid electricity,2024,140.0,active-conflict
diff --git a/4_data_analysis/phases_analysis/non_tech_exp.md b/4_data_analysis/phases_analysis/non_tech_exp.md
new file mode 100644
index 000000000..2f44fa7b7
--- /dev/null
+++ b/4_data_analysis/phases_analysis/non_tech_exp.md
@@ -0,0 +1,69 @@
+
+
+
+## Non- Technical Explanation
+
+Answering the question:
+**"How have armed conflicts over the past 15 years influenced the deployment, capacity utilization, and household consumption of solar photovoltaic systems—both environmentally and socially—in conflict-affected communities?"**
+
+Sub question analysis:
+**What are the trends in solar energy adoption across the conflict cycle—pre-conflict, active conflict, and post-conflict periods—in conflict-affected countries?**
+
+We analyzed solar energy development in **9 conflict-affected countries** (2000–2024) to understand how war impacts renewable energy growth.
+
+### Key Findings
+
+#### 1. Conflict Often *Increases* Solar Adoption
+
+* **Most solar growth happened during active conflict**, not after peace.
+* Solar is **quick to deploy, independent**, and useful when main power systems break.
+* **Certainty level:** High (Observed in 8 of 9 countries)
+
+#### 2. 🇺🇦 Ukraine Is a Unique Case
+
+* Built **8,200 MW**, far more than any other country (30x higher).
+* Supported by **pro-solar policy, international funding, and industry capacity**.
+* **Certainty level:** Very high (Clear and consistent data)
+
+#### 3. Three Patterns Emerged
+
+* **Crisis Builders**: Rapid growth during war (e.g., Yemen, Sudan)
+* **Recovery Rebuilders**: Growth after conflict ends (e.g., Iraq, Afghanistan)
+* **Slow Starters**: Minimal growth at any time (e.g., Libya, Ethiopia)
+* **Certainty level:** Moderate (Small sample, but strong patterns)
+
+#### 4. Peace ≠ Solar Growth
+
+* Many countries **stopped or slowed solar development after conflict**, often due to instability or lack of funding.
+* **Certainty level:** Medium (Limited post-conflict data)
+
+#### 5. Large Projects Still Happen During War
+
+* **Grid-connected projects dominate**, not just small-scale systems.
+* Solar is treated as **critical infrastructure**, even during war.
+* **Certainty level:** High
+
+#### 6. Conflict Can Push Countries Toward Solar
+
+- **During conflict, solar energy use often increases**, especially in **lower-income countries**.
+- This happens because:
+ - **War damages the main power grid**, making traditional electricity unreliable.
+ - **Solar systems are quicker and easier to install**, especially off-grid setups.
+ - **Aid groups provide solar solutions** for essential services like **hospitals, shelters, and refugee camps**.
+- **After conflict, progress is uneven**:
+ - **Wealthier countries** often continue expanding solar.
+ - **Poorer countries** may fall behind due to **lack of funding and support**.
+- **Takeaway**: Conflict doesn’t always stop progress — in some cases, it can **accelerate the shift to solar energy** out of necessity.
+
+### What Could Be Wrong (Sources of Uncertainty)
+
+* **Some missing or delayed data** during chaotic war periods.
+* **"Conflict period" definitions** may not fully reflect complex realities.
+* **Installed ≠ working** — some reported capacity might not be functional.
+* **Small dataset** (only 9 countries) limits global generalization.
+
+### Bottom Line
+
+* **Main insight**: War often *accelerates* solar energy growth, not stops it.
+* **Big exception**: Ukraine shows how far a country can go with the right policies and support.
+* **Next step**: To sustain momentum, countries need **deliberate post-conflict planning**.
diff --git a/4_data_analysis/phases_analysis/tech_exp.md b/4_data_analysis/phases_analysis/tech_exp.md
new file mode 100644
index 000000000..ed14701ac
--- /dev/null
+++ b/4_data_analysis/phases_analysis/tech_exp.md
@@ -0,0 +1,204 @@
+
+
+## Technical Explanation
+
+
+What We Studied
+
+- **Main question:** How does solar energy adoption vary across different phases of conflict?
+- **Data source:** IRENA (International Renewable Energy Agency) solar capacity database
+- **Countries analyzed:** Ukraine, Yemen, Sudan, Ethiopia, Libya, Syria, Afghanistan, Iraq, South Sudan
+- **Time frame:** 2000–2024 (varies per country)
+- **Metric:** Installed solar photovoltaic capacity (MW)
+
+#### Conflict Phases
+
+Each country’s timeline was divided into:
+
+1. **Pre-conflict:** Before major violence began
+2. **Active-conflict:** During significant unrest
+3. **Post-conflict:** After hostilities decreased (when applicable)
+
+**Note:** This basic division doesn’t reflect:
+
+- Conflict intensity
+- Geographic extent
+- Transitional or low-intensity periods
+
+Such simplification may obscure nuances in complex conflicts.
+
+
+
+
+Our Analytical Methods
+
+### 1. Phase Comparison
+
+**Method:** Averaged solar capacity for each conflict phase
+**Purpose:** Understand which periods saw the most solar development
+
+**Results:**
+
+- Pre-conflict: 146 MW
+- Active-conflict: 5,724 MW *(skewed by Ukraine)*
+- Post-conflict: 136 MW
+
+**Note:** Ukraine’s large capacity (8,000+ MW) inflates the active-conflict average.
+
+---
+
+### 2. Country Grouping
+
+**Method:** Classified countries by solar trends across phases
+**Goal:** Highlight national differences in solar development
+
+**Categories:**
+
+- **Conflict-Fueled Growth:** Increase during conflict (4 countries)
+- **Recovery-Driven Growth:** Surge after conflict (3 countries)
+- **Persistent Low Growth:** Low across all phases (2 countries)
+
+**Consideration:** Groupings are based on observed patterns but involve some interpretation.
+
+---
+
+### 3. Ukraine Outlier Analysis
+
+**Why:** Ukraine’s solar capacity far exceeds others
+**Impact:**
+
+- With Ukraine: Active-conflict average = 5,724 MW
+- Without Ukraine: Active-conflict average = 71 MW
+
+**Justification:** Common practice to handle extreme values separately to preserve clarity.
+
+---
+
+### 4. Linear Regression
+
+**Model:**
+`Solar Growth Rate = Baseline + Conflict Effect + Random Error`
+
+**Outcome:**
+Conflict periods linked to a +1,359 MW increase
+
+**Limitations:**
+
+- Small sample (9 countries)
+- Missing variables (e.g., GDP, aid, policies)
+- Likely statistical violations (non-normal distribution)
+
+---
+
+### 5. Grid vs. Off-Grid Comparison
+
+**Focus:** Differentiated centralized vs. decentralized solar systems
+
+**Findings:**
+
+- Grid-connected average: 1,600 MW
+- Off-grid average: 50 MW
+
+**Conclusion:** Even in conflict, centralized infrastructure dominated solar deployment.
+
+---
+
+### **6. Economic Status by Conflict Status**
+
+**Focus:**
+Compare average solar capacity across conflict phases by income level (excluding Ukraine).
+
+**Findings:**
+- Active-conflict average (low/lower-middle income): ~560–710 MW
+- Post-conflict average (upper-middle income): ~150 MW
+- Post-conflict average (low income): ~50 MW
+
+**Conclusion:**
+During conflict, low and lower-middle income countries had the highest solar growth. Post-conflict trends were uneven across income groups.
+
+---
+
+
+
+Our Statistical Results
+
+### Averages (Excluding Ukraine)
+
+- **Pre-conflict:** 0.9 MW
+- **Active-conflict:** 42.5 MW
+- **Post-conflict:** 33.8 MW
+
+---
+
+### Country-Level Patterns
+
+- **Recovery Growth:** 3 of 6 countries grew post-conflict
+- **Stagnation:** 2 of 6 remained relatively unchanged
+- **Data Gap:** Yemen lacked post-conflict data
+
+---
+
+### Adoption Timeline
+
+Three waves of expansion:
+
+1. **2004–2010:** Sudan, Ukraine, Afghanistan, Ethiopia
+2. **2015–2018:** Syria, South Sudan
+3. **2018–2025:** Yemen, Iraq
+
+Many nations saw **500%+ growth** during these periods.
+
+----
+
+### Economic Status
+
+- Peak average: Lower-middle income countries during active conflict (~710 MW).
+- Sharp drop for low-income countries post-conflict (~560 ➝ 50 MW).
+- Upper-middle income countries show moderate recovery post-conflict.
+- Pre-conflict levels are minimal across all groups.
+
+---
+
+
+### How Reliable Are Our Results?
+
+#### High Confidence
+
+- Ukraine's outlier status
+- General link between conflict and solar adoption
+- Grid vs. off-grid disparity
+
+#### Medium Confidence
+
+- Country groupings
+- Post-conflict growth trends
+- Impact estimates
+
+#### Low Confidence
+
+- Causal interpretations
+- Applicability to other conflict zones
+- Long-term forecasts
+
+
+Recommendations for Better Analysis
+
+### With More Resources
+
+1. Add data on foreign aid, economic conditions, and energy policy
+2. Increase temporal resolution (e.g., monthly, quarterly)
+3. Integrate qualitative case studies
+4. Use advanced causal inference methods
+
+
+
+### Conclusion
+
+Findings are strong within this dataset, but should be interpreted cautiously beyond the included countries.
+
+Our findings reveal distinct patterns in solar development during conflict — especially after adjusting for Ukraine’s outsized influence. Conflict appears correlated with increased solar investment, though causation isn’t confirmed.
+
+We addressed key limitations (e.g., outlier effects), but drawing deeper conclusions requires more granular data and advanced tools.
+
+**Bottom line:**
+Our analysis makes the most of available data. Future research should aim for deeper causal understanding using richer, multi-dimensional datasets.
diff --git a/4_data_analysis/social_environment_analysis/non_tech_explanation.md b/4_data_analysis/social_environment_analysis/non_tech_explanation.md
new file mode 100644
index 000000000..aa5baf838
--- /dev/null
+++ b/4_data_analysis/social_environment_analysis/non_tech_explanation.md
@@ -0,0 +1,144 @@
+# Non technical explanation
+
+## What We Looked At
+
+We wanted to understand how armed conflicts over the last 25 years have affected
+solar power systems. We focused on two main things:
+
+- **Environmental Impact:** How much solar power capacity
+(like big solar farms or rooftop panels) was installed in areas with
+and without conflict and the possibilities in reducing the global
+greenhouse gases.
+
+- **Social Impact:** How many people gained access to solar power in these areas.
+
+We used two main sets of data. One showed the total power generated
+(in Megawatts, MW), and the other showed the number of people connected
+to solar power (in thousands). Both datasets told us if a country was
+experiencing conflict or not in a given year.
+
+## What We Found
+
+### Solar Power Capacity (Environmental Side)
+
+When we looked at how much solar power was being installed, we saw that:
+
+- More Solar in Peaceful Areas: Countries without conflict generally
+installed much more solar power and saw it grow much faster over the years.
+
+- Slower Growth in Conflict Areas: While solar power still grew in conflict
+zones, it was at a much slower pace. This suggests that wars make it
+harder to build big solar projects.
+
+- Slower Access to renewable energy: this has tremendous consequences, in
+conflict zones, the relying in fossil fuels increase which will eventually lead
+to more CO2 emissions.
+
+However, when we did some more advanced statistical tests,
+the direct link between simply being in a conflict zone and
+the amount of solar power installed wasn't as clear-cut as we might expect.
+This means that just saying 'conflict' or 'no conflict' might not be enough
+to explain everything, and other things are probably at play.
+
+### People Connected to Solar Power (Social Side)
+
+For how many people got access to solar power, we observed similar patterns:
+
+- More People Connected in Peaceful Areas: Many more people gained access to
+solar power in countries not affected by conflict, and this number grew rapidly.
+
+- Slower Access in Conflict Areas: In conflict zones, fewer people got connected
+to solar power, and the progress was much slower. This makes sense, as conflicts
+disrupt everything, including efforts to bring clean energy to homes.
+
+Again, our statistical tests didn't show a strong, direct link between just having
+a conflict and the number of people connected. This suggests that the situation is
+more complicated than a simple 'yes' or 'no' to conflict.
+
+## Why It's Not So Simple (Limitations and Flaws)
+
+Our study, like any other, has some limitations that are important to understand:
+
+- **Conflicts is not just too Simple:** Our data just said "Conflict" or "No Conflict."
+But conflicts aren't all the same. Some are short and small, others are long and
+devastating. This simple label might hide the real, complex ways conflicts affect
+things.
+
+- **Many Other Factors:** The amount of solar power a country installs or how many
+people get connected depends on many things, not just conflict. Things like
+a country's wealth, its government's policies, help from other countries, and
+even its geography all play a huge role. Our simple models didn't include all
+these other factors, which is why the statistical results weren't as strong
+as the visual trends.
+
+- **Big Picture Data:** Our data was for whole countries, year by year.
+But conflicts often happen only in certain parts of a country. So,
+if a country is big and only a small part is in conflict, the national
+data might not show the true local impact.
+
+- **Cause and Effect:** We can see if conflict and solar power go together,
+but it's hard to say if one directly causes the other. Maybe places that
+are already struggling (and thus have less solar power) are also more
+likely to have conflicts.
+
+- **Different Types of Solar:** We grouped many types of solar power together.
+A small solar lamp for a home is very different from a large solar mini-grid.
+Their impacts and how they are affected by conflict might be different.
+
+- **People social classes:** to truly measure the affect of people wealth, we
+need to incorporate more data about poverty rates and economics.
+
+- **Data Challenges:** Even though the data was clean, collecting information
+in conflict zones is very difficult. So, there might be some gaps or
+inaccuracies in the data itself.
+
+- **Time Delays:** The effects of a conflict might not be seen immediately.
+It could take years for the full impact on solar power development to become clear.
+
+## The Green Side: Avoiding Pollution
+
+Solar power isn't just about providing electricity; it's also a superhero in
+the fight against climate change. By using solar, we avoid burning dirty fuels
+that release greenhouse gases (GHGs) into the air, which warm our planet.
+an estimation can be done to show how much pollution was avoided by the
+solar power installed.
+
+- **Less Pollution Avoided in Conflict Zones:** while
+solar power in conflict areas may help in reducing pollution, the amount will be
+much, much smaller compared to peaceful regions. This is simply
+because there will be less solar power installed in war-torn places,
+also the excessive use of fuel in cars, planes and other military vehicles is extremely
+high during conflicts and its usage is uncontrolled. So, conflicts don't just hurt
+people; they also slow down our planet's healing process by limiting clean energy.
+
+## What Solar Access Means for People
+
+When we talk about people getting connected to solar power, it’s more than just
+having a light bulb. It’s about a whole range of improvements in their lives:
+
+- **Better Health:** No more breathing in smoke from kerosene lamps or wood fires
+, leading to fewer lung problems.
+
+- **Brighter Futures for Kids:** Children can study longer and more safely after
+dark, boosting their chances at a good education.
+
+- **New Opportunities:** Small businesses can stay open longer,
+and people can charge their phones or other devices, helping them earn a living.
+
+- **Safer Communities:** Light at night can make streets and homes feel safer,
+especially in areas where security is a concern.
+
+Because fewer people are connected to solar in conflict zones, it means these
+vital benefits are also much harder to come by for those living in the toughest
+situations. The conflict doesn't just stop the lights from coming on; it holds
+back health, education, and economic growth.
+
+## In a Nutshell
+
+> While our initial observations suggest that armed conflicts slow down solar power
+development and access, the statistical models show that the relationship is
+more complex than a simple direct link. Many other factors are at play, and the
+way we define and measure conflict matters a lot. This means that helping
+conflict-affected areas get more solar power requires a deep understanding of
+their unique situations and addressing many different challenges,
+not just the conflict itself.
diff --git a/4_data_analysis/social_environment_analysis/socioenvironmental.ipynb b/4_data_analysis/social_environment_analysis/socioenvironmental.ipynb
new file mode 100644
index 000000000..610cc111d
--- /dev/null
+++ b/4_data_analysis/social_environment_analysis/socioenvironmental.ipynb
@@ -0,0 +1,760 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "a1c9e294",
+ "metadata": {},
+ "source": [
+ "# Methodology\n",
+ "## Data Sources\n",
+ "\n",
+ "The analysis utilizes two primary datasets:\n",
+ "
\n",
+ "
`IRENA_OFGStats_mw.cleaned.xlsx` : Contains data on off-grid solar PV capacity\n",
+ " in Megawatts (MW), including various solar PV technologies.
\n",
+ "
`IRENA_OFGStats_thousands.cleaned.xlsx` : Contains data on the number of\n",
+ " people connected to off-grid solar PV systems in thousands, covering different
\n",
+ "
\n",
+ " \n",
+ "
social impact technologies
\n",
+ " Both datasets include a 'Conflict Status' column, which categorizes regions/countries\n",
+ " as either 'Conflict' or 'No Conflict' for each given year. The data spans from \n",
+ " 2000 to 2025\n",
+ "\n",
+ "## Analytical approach\n",
+ "\n",
+ "The analysis was conducted using Python with the pandas, matplotlib, and seaborn\n",
+ " libraries. The approach involved:\n",
+ "
\n",
+ "
Data Exploration: Initial examination of both datasets to understand their\n",
+ " structure, unique values, and overall distributions. This confirmed the presence\n",
+ " of 'Conflict Status' and 'Technology' columns crucial for the analysis.
\n",
+ "
Environmental Impact Analysis: Focused on the\n",
+ " IRENA_OFGStats_mw.cleaned.xlsx dataset. Solar PV capacity trends were\n",
+ " analyzed over time, comparing 'Conflict' and 'No Conflict' regions. Average\n",
+ " capacities per country and regional deployment patterns were also examined.
\n",
+ "
Social Impact Analysis: Focused on the\n",
+ " IRENA_OFGStats_thousands.cleaned.xlsx dataset. Trends in the number of\n",
+ " people connected to solar PV systems were analyzed, comparing 'Conflict' and\n",
+ " 'No Conflict' regions. Average connections per country and regional social impact\n",
+ " were also assessed.
\n",
+ "
Comparative Analysis and Visualization: Generated line plots to visualize\n",
+ " trends over time and bar charts. These visualizations\n",
+ " highlight the differential impacts of conflict on solar PV deployment and\n",
+ " consumption.
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Group the data by Year and Conflict Status, and calculate the sum of Values\n",
+ "solar_capacity = (\n",
+ " mw[mw[\"Group Technology\"] == \"Solar energy\"]\n",
+ " .groupby([\"Year\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Create the line plot\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(\n",
+ " data=solar_capacity, x=\"Year\", y=\"Value\", hue=\"Conflict Status\", marker=\"o\"\n",
+ ")\n",
+ "\n",
+ "# Customize the plot\n",
+ "plt.title(\"Off-grid Solar Capacity Over Time by Conflict Status\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Capacity (MW)\")\n",
+ "plt.grid(True, linestyle=\"--\", alpha=0.7)\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.legend(title=\"Conflict Status\")\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "7552d267",
+ "metadata": {},
+ "source": [
+ "countries not affected by conflict (No Conflict) consistently show a significantly higher and more rapidly increasing off-grid solar capacity compared to conflict-affected countries. While both categories show an upward trend, the growth in non-conflict regions is substantially steeper, indicating a much larger scale of deployment. Conflict regions, although showing some growth, maintain a much lower overall capacity throughout the period."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "20f5fa8b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Filter solar energy access data\n",
+ "solar_access = (\n",
+ " thousands[thousands[\"Group Technology\"] == \"Solar energy\"]\n",
+ " .groupby([\"Year\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Create the line plot\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(data=solar_access, x=\"Year\", y=\"Value\", hue=\"Conflict Status\", marker=\"o\")\n",
+ "\n",
+ "# Customize the plot\n",
+ "plt.title(\"Off-grid Solar Energy Access Over Time by Conflict Status\")\n",
+ "plt.xlabel(\"Year\")\n",
+ "plt.ylabel(\"Number of People (Thousands)\")\n",
+ "plt.grid(True, linestyle=\"--\", alpha=0.7)\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.legend(title=\"Conflict Status\")\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "cf3df444",
+ "metadata": {},
+ "source": [
+ "This chart depicts the off-grid solar energy access (in thousands of people) over the same period. Similar to capacity, energy access is considerably higher in non-conflict regions. The trend for non-conflict areas shows a strong increase until around 2019, followed by a slight decline in recent years. In contrast, conflict-affected regions show a slow but steady increase in energy access, albeit at a much lower magnitude than non-conflict regions. This suggests that while efforts are being made to provide energy access in conflict zones, the scale and pace are limited compared to more stable environments."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "661ca65f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Filter data for different solar technologies\n",
+ "solar_lights = (\n",
+ " thousands[thousands[\"Technology\"] == \"Number of people using solar lights (<11 W)\"]\n",
+ " .groupby([\"Year\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "solar_shs_small = (\n",
+ " thousands[thousands[\"Technology\"] == \"Number of people using SHS (11-50 W)\"]\n",
+ " .groupby([\"Year\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "solar_shs_large = (\n",
+ " thousands[thousands[\"Technology\"] == \"Number of people using SHS (>50 W)\"]\n",
+ " .groupby([\"Year\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Create the figure with subplots\n",
+ "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(12, 15))\n",
+ "\n",
+ "# Plot for solar lights\n",
+ "sns.lineplot(\n",
+ " data=solar_lights, x=\"Year\", y=\"Value\", hue=\"Conflict Status\", marker=\"o\", ax=ax1\n",
+ ")\n",
+ "ax1.set_title(\"Household Consumption of Solar Lights (<11 W)\")\n",
+ "ax1.set_xlabel(\"Year\")\n",
+ "ax1.set_ylabel(\"Number of People (Thousands)\")\n",
+ "ax1.grid(True, linestyle=\"--\", alpha=0.7)\n",
+ "\n",
+ "# Plot for small SHS\n",
+ "sns.lineplot(\n",
+ " data=solar_shs_small, x=\"Year\", y=\"Value\", hue=\"Conflict Status\", marker=\"o\", ax=ax2\n",
+ ")\n",
+ "ax2.set_title(\"Household Consumption of SHS (11-50 W)\")\n",
+ "ax2.set_xlabel(\"Year\")\n",
+ "ax2.set_ylabel(\"Number of People (Thousands)\")\n",
+ "ax2.grid(True, linestyle=\"--\", alpha=0.7)\n",
+ "\n",
+ "# Plot for large SHS\n",
+ "sns.lineplot(\n",
+ " data=solar_shs_large, x=\"Year\", y=\"Value\", hue=\"Conflict Status\", marker=\"o\", ax=ax3\n",
+ ")\n",
+ "ax3.set_title(\"Household Consumption of SHS (>50 W)\")\n",
+ "ax3.set_xlabel(\"Year\")\n",
+ "ax3.set_ylabel(\"Number of People (Thousands)\")\n",
+ "ax3.grid(True, linestyle=\"--\", alpha=0.7)\n",
+ "\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "47eb64aa",
+ "metadata": {},
+ "source": [
+ "The adoption of solar lighting and Solar Home Systems (SHS) reveals distinct patterns when comparing non-conflict and conflict regions, reflecting the unique energy challenges and solutions in these areas. For solar lights with a capacity of less than 11 W, non-conflict regions have seen significantly higher usage, with a peak around 2019 followed by a decline. In contrast, conflict regions have experienced a steady, though gradual, rise in the use of these small solar lights, underscoring their critical role as a reliable and accessible energy solution where other options are limited. \n",
+ "\n",
+ "For Solar Home Systems with capacities between 11 and 50 W, household consumption in non-conflict regions has been generally higher but fluctuates, with a noticeable uptick in recent years. Meanwhile, conflict regions started with very low adoption but have shown a marked increase in usage since around 2018. This surge suggests a growing dependence on these smaller SHS, likely driven by the lack of access to larger grid-based solutions in these areas. \n",
+ "\n",
+ "Similarly, for larger SHS with capacities exceeding 50 W, non-conflict regions have consistently had more users, peaking around 2015 before declining. In conflict regions, however, there’s been a slow but steady rise in the adoption of these more robust systems. This trend points to ongoing efforts to bring stronger off-grid energy solutions to challenging environments, where reliable power is often scarce but increasingly vital."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 18,
+ "id": "c7c41151",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Filter the data for the regions of interest\n",
+ "regions_of_interest = [\"Africa\", \"Middle East\", \"Asia\"]\n",
+ "regional_access = thousands[thousands[\"Region\"].isin(regions_of_interest)]\n",
+ "\n",
+ "# Group by Year, Region, and Conflict Status, then sum the values\n",
+ "regional_access = (\n",
+ " regional_access.groupby([\"Year\", \"Region\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Define markers for each region\n",
+ "markers = {\n",
+ " \"Africa\": \"o\",\n",
+ " \"Asia\": \"s\",\n",
+ " \"Americas\": \"^\",\n",
+ " \"Oceania\": \"D\",\n",
+ " \"Central America and the Caribbean\": \"v\",\n",
+ " \"Middle East\": \"p\",\n",
+ " \"South America\": \"*\",\n",
+ "}\n",
+ "\n",
+ "# Define colors for conflict status\n",
+ "colors = {\"No Conflict\": \"#2b83ba\", \"Conflict\": \"#d7191c\"}\n",
+ "\n",
+ "# Create the plot\n",
+ "plt.figure(figsize=(14, 8))\n",
+ "sns.set_style(\"whitegrid\")\n",
+ "\n",
+ "# Plotting each region with different markers\n",
+ "for region in regions_of_interest:\n",
+ " region_data = regional_access[regional_access[\"Region\"] == region]\n",
+ " for status in region_data[\"Conflict Status\"].unique():\n",
+ " status_data = region_data[region_data[\"Conflict Status\"] == status]\n",
+ " plt.plot(\n",
+ " status_data[\"Year\"],\n",
+ " status_data[\"Value\"],\n",
+ " marker=markers[region],\n",
+ " linestyle=\"-\",\n",
+ " color=colors[status],\n",
+ " label=f\"{region} ({status})\",\n",
+ " )\n",
+ "\n",
+ "# Customize the plot\n",
+ "plt.title(\n",
+ " \"Off-grid Energy Access Over Time by Region and Conflict Status (Social Impact)\",\n",
+ " fontsize=16,\n",
+ ")\n",
+ "plt.xlabel(\"Year\", fontsize=12)\n",
+ "plt.ylabel(\"Number of People (Thousands)\", fontsize=12)\n",
+ "plt.xticks(status_data[\"Year\"].unique(), rotation=45)\n",
+ "plt.legend(title=\"Region (Conflict Status)\", fontsize=10)\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c15bf230",
+ "metadata": {},
+ "source": [
+ "Zooming out to a regional perspective, Africa, Asia, and the Middle East stand out as the areas with the most significant off-grid energy access, both in conflict and non-conflict settings. Within each region, non-conflict areas generally enjoy greater energy access. However, even in conflict-affected regions, there is a persistent, though slower, increase in energy access. This steady progress underscores the resilience and critical importance of off-grid solutions in providing power to communities facing difficult circumstances, where reliable energy can make a transformative difference."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 19,
+ "id": "aa571bd1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Filter the data for the regions of interest\n",
+ "regions_of_interest = [\"Africa\", \"Middle East\", \"Asia\"]\n",
+ "regional_capacity = mw[mw[\"Region\"].isin(regions_of_interest)]\n",
+ "\n",
+ "# Group by Year, Region, and Conflict Status, then sum the values\n",
+ "regional_capacity = (\n",
+ " regional_capacity.groupby([\"Year\", \"Region\", \"Conflict Status\"])[\"Value\"]\n",
+ " .sum()\n",
+ " .reset_index()\n",
+ ")\n",
+ "\n",
+ "# Define markers for each region\n",
+ "markers = {\n",
+ " \"Africa\": \"o\",\n",
+ " \"Asia\": \"s\",\n",
+ " \"Americas\": \"^\",\n",
+ " \"Oceania\": \"D\",\n",
+ " \"Central America and the Caribbean\": \"v\",\n",
+ " \"Middle East\": \"p\",\n",
+ " \"South America\": \"*\",\n",
+ "}\n",
+ "\n",
+ "# Define colors for conflict status\n",
+ "colors = {\"No Conflict\": \"#2b83ba\", \"Conflict\": \"#d7191c\"}\n",
+ "\n",
+ "# Create the plot\n",
+ "plt.figure(figsize=(14, 8))\n",
+ "sns.set_style(\"whitegrid\")\n",
+ "\n",
+ "# Plotting each region with different markers\n",
+ "for region in regions_of_interest:\n",
+ " region_data = regional_capacity[regional_capacity[\"Region\"] == region]\n",
+ " for status in region_data[\"Conflict Status\"].unique():\n",
+ " status_data = region_data[region_data[\"Conflict Status\"] == status]\n",
+ " plt.plot(\n",
+ " status_data[\"Year\"],\n",
+ " status_data[\"Value\"],\n",
+ " marker=markers[region],\n",
+ " linestyle=\"-\",\n",
+ " color=colors[status],\n",
+ " label=f\"{region} ({status})\",\n",
+ " )\n",
+ "\n",
+ "# Customize the plot\n",
+ "plt.title(\n",
+ " \"Off-grid Solar Capacity Over Time by Region and Conflict Status (Environmental Impact)\",\n",
+ " fontsize=16,\n",
+ ")\n",
+ "plt.xlabel(\"Year\", fontsize=12)\n",
+ "plt.ylabel(\"Capacity (MW)\", fontsize=12)\n",
+ "plt.xticks(status_data[\"Year\"].unique(), rotation=45)\n",
+ "plt.legend(title=\"Region (Conflict Status)\", fontsize=10)\n",
+ "plt.tight_layout()\n",
+ "plt.show()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a32584ba",
+ "metadata": {},
+ "source": [
+ "This chart offers a clear view of off-grid solar capacity across different regions, highlighting the interplay between conflict status and sustainable energy adoption. Africa and Asia lead the way with the highest solar capacities, reflecting their significant role in the global shift toward renewable energy. Non-conflict regions across all continents consistently show a much stronger environmental impact, with greater solar capacity driving progress toward sustainability. Yet, even in conflict-affected areas, there’s a steady and inspiring rise in solar energy use. Despite the challenges of instability, these regions are increasingly embracing solar power, contributing to a greener future and showcasing the resilience of communities in adopting sustainable solutions."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c916d796",
+ "metadata": {},
+ "source": [
+ "# Comparative analysis\n",
+ "\n",
+ "## Overall Trends and Disparities\n",
+ " Across both environmental (capacity in MW) and social (people connected in\n",
+ " thousands) metrics, a consistent pattern emerges: non-conflict regions exhibit\n",
+ " significantly higher levels of solar PV deployment and adoption compared to conflict\n",
+ "affected regions. This disparity is evident in:\n",
+ " Growth Trajectories: Non-conflict areas show a steeper and more consistent\n",
+ " upward trend in both solar PV capacity and the number of people connected.\n",
+ " This suggests that stable political and economic environments are crucial for\n",
+ " fostering the rapid growth of renewable energy infrastructure and its widespread\n",
+ " adoption.\n",
+ " Scale of Deployment: The average capacity per country and the overall\n",
+ " distribution of values indicate that larger-scale solar PV projects and more\n",
+ " extensive energy access programs are predominantly found in non-conflict\n",
+ " zones. In conflict areas, deployments tend to be smaller and more fragmented,\n",
+ " often focusing on immediate needs rather than long-term, comprehensive\n",
+ " solutions\n",
+ "## Regional Vulnerabilities and Resilience\n",
+ " While some regions, such as Asia and Africa, show substantial solar PV activity in both\n",
+ " conflict and non-conflict settings, the proportion of deployment and connections in\n",
+ " non-conflict areas is overwhelmingly higher. This highlights the vulnerability of energy\n",
+ " infrastructure and access initiatives to armed conflicts. However, the presence of solar\n",
+ " PV in conflict zones, even at a reduced scale, also points to the resilience of\n",
+ " communities and the potential for decentralized renewable energy solutions to\n",
+ " provide critical services in challenging environments.\n",
+ "## Interconnectedness of Environmental and Social Impacts\n",
+ " The analysis reveals a strong interconnectedness between the environmental and\n",
+ " social impacts. Limited solar PV capacity in conflict zones directly translates to fewer\n",
+ " people having access to clean energy. This means that the environmental benefits of\n",
+ " reduced reliance on fossil fuels are constrained, and the social benefits of improved\n",
+ " health, education, and economic opportunities are not fully realized. Armed conflicts\n",
+ " create a vicious cycle where instability hinders sustainable energy development,\n",
+ " which in turn perpetuates energy poverty and exacerbates humanitarian challenges"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6c464576",
+ "metadata": {},
+ "source": [
+ "# Some statistical analysis"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "52e47dc2",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "--- Statistical Analysis of Environmental Impact (MW) ---\n",
+ "\n",
+ "ANOVA for Solar PV Capacity (MW) by Conflict Status:\n",
+ " sum_sq df F PR(>F)\n",
+ "C(Q(\"Conflict Status\")) 6.630360e+02 1.0 1.324475 0.2498\n",
+ "Residual 1.448144e+07 28928.0 NaN NaN\n",
+ "\n",
+ "Regression Analysis for Solar PV Capacity (MW):\n",
+ " OLS Regression Results \n",
+ "==============================================================================\n",
+ "Dep. Variable: Value R-squared: 0.007\n",
+ "Model: OLS Adj. R-squared: 0.007\n",
+ "Method: Least Squares F-statistic: 98.24\n",
+ "Date: Thu, 31 Jul 2025 Prob (F-statistic): 3.03e-43\n",
+ "Time: 09:24:55 Log-Likelihood: -1.3086e+05\n",
+ "No. Observations: 28930 AIC: 2.617e+05\n",
+ "Df Residuals: 28927 BIC: 2.618e+05\n",
+ "Df Model: 2 \n",
+ "Covariance Type: nonrobust \n",
+ "==========================================================================================================\n",
+ " coef std err t P>|t| [0.025 0.975]\n",
+ "----------------------------------------------------------------------------------------------------------\n",
+ "Intercept -529.4695 38.058 -13.912 0.000 -604.064 -454.875\n",
+ "C(Q(\"Conflict Status\"))[T.No Conflict] -0.4115 0.361 -1.139 0.255 -1.120 0.297\n",
+ "Year 0.2643 0.019 13.969 0.000 0.227 0.301\n",
+ "==============================================================================\n",
+ "Omnibus: 77446.962 Durbin-Watson: 0.291\n",
+ "Prob(Omnibus): 0.000 Jarque-Bera (JB): 2312173290.167\n",
+ "Skew: 32.591 Prob(JB): 0.00\n",
+ "Kurtosis: 1386.439 Cond. No. 5.84e+05\n",
+ "==============================================================================\n",
+ "\n",
+ "Notes:\n",
+ "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+ "[2] The condition number is large, 5.84e+05. This might indicate that there are\n",
+ "strong multicollinearity or other numerical problems.\n",
+ "\n",
+ "--- Statistical Analysis of Social Impact (Thousands) ---\n",
+ "\n",
+ "ANOVA for People Connected (Thousands) by Conflict Status:\n",
+ " sum_sq df F PR(>F)\n",
+ "C(Q(\"Conflict Status\")) 3.483387e+05 1.0 0.082061 0.774529\n",
+ "Residual 5.612599e+10 13222.0 NaN NaN\n",
+ "\n",
+ "Regression Analysis for People Connected (Thousands):\n",
+ " OLS Regression Results \n",
+ "==============================================================================\n",
+ "Dep. Variable: Value R-squared: 0.004\n",
+ "Model: OLS Adj. R-squared: 0.004\n",
+ "Method: Least Squares F-statistic: 27.80\n",
+ "Date: Thu, 31 Jul 2025 Prob (F-statistic): 8.93e-13\n",
+ "Time: 09:24:55 Log-Likelihood: -1.1964e+05\n",
+ "No. Observations: 13224 AIC: 2.393e+05\n",
+ "Df Residuals: 13221 BIC: 2.393e+05\n",
+ "Df Model: 2 \n",
+ "Covariance Type: nonrobust \n",
+ "==========================================================================================================\n",
+ " coef std err t P>|t| [0.025 0.975]\n",
+ "----------------------------------------------------------------------------------------------------------\n",
+ "Intercept -3.857e+04 5195.800 -7.424 0.000 -4.88e+04 -2.84e+04\n",
+ "C(Q(\"Conflict Status\"))[T.No Conflict] 14.4204 50.236 0.287 0.774 -84.050 112.891\n",
+ "Year 19.2464 2.583 7.451 0.000 14.183 24.309\n",
+ "==============================================================================\n",
+ "Omnibus: 37773.294 Durbin-Watson: 0.115\n",
+ "Prob(Omnibus): 0.000 Jarque-Bera (JB): 1725717908.414\n",
+ "Skew: 38.489 Prob(JB): 0.00\n",
+ "Kurtosis: 1771.064 Cond. No. 5.85e+05\n",
+ "==============================================================================\n",
+ "\n",
+ "Notes:\n",
+ "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+ "[2] The condition number is large, 5.85e+05. This might indicate that there are\n",
+ "strong multicollinearity or other numerical problems.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from statsmodels.formula.api import ols\n",
+ "\n",
+ "import statsmodels.api as sm\n",
+ "\n",
+ "\n",
+ "def perform_statistical_analysis_existing(mw_df, thousands_df):\n",
+ " # Define solar PV technologies for the MW dataframe\n",
+ " solar_technologies_mw = [\n",
+ " \"Other off-grid solar PV\",\n",
+ " \"Other off-grid solar PV (of which health)\",\n",
+ " \"Other off-grid solar PV (of which commercial/public)\",\n",
+ " \"Other off-grid solar PV (of which education)\",\n",
+ " \"Other off-grid solar PV (of which not specified)\",\n",
+ " \"Other off-grid solar PV (of which industry)\",\n",
+ " \"Other off-grid solar PV (of which tourism)\",\n",
+ " \"Other off-grid solar PV (of which public lighting)\",\n",
+ " \"Other off-grid solar PV (of which communication)\",\n",
+ " \"Other off-grid solar PV (of which residential)\",\n",
+ " \"Other off-grid solar PV (of which agriculture)\",\n",
+ " \"Other off-grid solar PV (of which multi-purpose)\",\n",
+ " \"Solar mini-grids\",\n",
+ " \"Solar lights (<11 W)\",\n",
+ " \"Solar pumps\",\n",
+ " \"Solar pumps (public water supply)\",\n",
+ " \"Solar pumps (agriculture)\",\n",
+ " \"Solar home systems (SHS 11-50 W)\",\n",
+ " \"Solar home systems (SHS >50 W)\",\n",
+ " \"Solar cookers\",\n",
+ " \"Solar lights and solar home systems (SHS)\",\n",
+ " ]\n",
+ " solar_mw_df = mw_df[mw_df[\"Technology\"].isin(solar_technologies_mw)]\n",
+ "\n",
+ " # Define social impact technologies for the Thousands dataframe\n",
+ " social_technologies_thousands = [\n",
+ " \"Number of people connected to hydropower\",\n",
+ " \"Number of people using solar lights (<11 W)\",\n",
+ " \"Number of people connected to solar mini-grids (Tier 1)\",\n",
+ " \"Number of people connected to solar mini-grids (Tier 2+)\",\n",
+ " \"Number of people using SHS (11-50 W)\",\n",
+ " \"Number of people using SHS (>50 W)\",\n",
+ " \"Number of people served by solar cookers\",\n",
+ " ]\n",
+ " social_thousands_df = thousands_df[\n",
+ " thousands_df[\"Technology\"].isin(social_technologies_thousands)\n",
+ " ]\n",
+ "\n",
+ " print(\"\\n--- Statistical Analysis of Environmental Impact (MW) ---\")\n",
+ " if not solar_mw_df.empty:\n",
+ " # ANOVA: Value ~ Conflict Status\n",
+ " model_mw = ols('Value ~ C(Q(\"Conflict Status\"))', data=solar_mw_df).fit()\n",
+ " anova_table_mw = sm.stats.anova_lm(model_mw, typ=2)\n",
+ " print(\"\\nANOVA for Solar PV Capacity (MW) by Conflict Status:\")\n",
+ " print(anova_table_mw)\n",
+ "\n",
+ " # Regression analysis: Value ~ Year + Conflict Status\n",
+ " solar_mw_df_copy = solar_mw_df.copy()\n",
+ " solar_mw_df_copy[\"Conflict_Status_Encoded\"] = (\n",
+ " solar_mw_df_copy[\"Conflict Status\"].astype(\"category\").cat.codes\n",
+ " )\n",
+ " model_mw_reg = ols(\n",
+ " 'Value ~ Year + C(Q(\"Conflict Status\"))', data=solar_mw_df_copy\n",
+ " ).fit()\n",
+ " print(\"\\nRegression Analysis for Solar PV Capacity (MW):\")\n",
+ " print(model_mw_reg.summary())\n",
+ " else:\n",
+ " print(\"No data available for environmental impact analysis.\")\n",
+ "\n",
+ " print(\"\\n--- Statistical Analysis of Social Impact (Thousands) ---\")\n",
+ " if not social_thousands_df.empty:\n",
+ " # ANOVA: Value ~ Conflict Status\n",
+ " model_social = ols(\n",
+ " 'Value ~ C(Q(\"Conflict Status\"))', data=social_thousands_df\n",
+ " ).fit()\n",
+ " anova_table_social = sm.stats.anova_lm(model_social, typ=2)\n",
+ " print(\"\\nANOVA for People Connected (Thousands) by Conflict Status:\")\n",
+ " print(anova_table_social)\n",
+ "\n",
+ " # Regression analysis: Value ~ Year + Conflict Status\n",
+ " social_thousands_df_copy = social_thousands_df.copy()\n",
+ " social_thousands_df_copy[\"Conflict_Status_Encoded\"] = (\n",
+ " social_thousands_df_copy[\"Conflict Status\"].astype(\"category\").cat.codes\n",
+ " )\n",
+ " model_social_reg = ols(\n",
+ " 'Value ~ Year + C(Q(\"Conflict Status\"))', data=social_thousands_df_copy\n",
+ " ).fit()\n",
+ " print(\"\\nRegression Analysis for People Connected (Thousands):\")\n",
+ " print(model_social_reg.summary())\n",
+ " else:\n",
+ " print(\"No data available for social impact analysis.\")\n",
+ "\n",
+ "\n",
+ "# Run the statistical analysis using the existing dataframes 'mw' and 'thousands'\n",
+ "perform_statistical_analysis_existing(mw, thousands)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ee403dd4",
+ "metadata": {},
+ "source": [
+ "### ANOVA for Solar PV Capacity by Conflict Status\n",
+ "| Source | sum_sq | df | F | PR(>F) |\n",
+ "|------------------------------|----------------|----------|----------|--------|\n",
+ "| C(Q(\"Conflict Status\")) | 6.630360e+02 | 1.0 | 1.324475 | 0.2498 |\n",
+ "| Residual | 1.448144e+07 | 28928.0 | NaN | NaN |\n",
+ "\n",
+ "\n",
+ "The p-value for C(Q(\"Conflict Status\")) is 0.2498. Since this p-value is greater than 0.05, we do not find a statistically significant difference in the mean solar PV capacity (MW) between conflict-affected and non-conflict regions based on this ANOVA model. This suggests that, when considering only the binary conflict status, the average solar PV capacity does not differ significantly between these two groups.\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1474ed35",
+ "metadata": {},
+ "source": [
+ "### Regression Analysis for People Connected (Thousands)\n",
+ "\n",
+ "- R-squared: 0.004, indicating that only 0.4% of the variation in the number of people connected is explained by Year and Conflict Status.\n",
+ "\n",
+ "- Year: The coefficient for Year is 19.2464 with a p-value of 0.000. This is statistically significant, suggesting that, on average, the number of people connected to solar PV systems increased by approximately 19.2464 thousand each year, holding conflict status constant.\n",
+ "\n",
+ "- C(Q(\"Conflict Status\"))[T.No Conflict]: The coefficient is 14.4204 with a p-value of 0.774. This is not statistically significant. This means that, after accounting for the effect of Year, there is no statistically significant difference in the number of people connected between conflict and non-conflict regions.\n",
+ "\n",
+ "- Overall Model Fit: The R-squared value of 0.004 is extremely low, indicating that the model has very little explanatory power. Similar to the environmental impact analysis, the high Cond. No. suggests potential multicollinearity or other numerical problems.\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ad514e44",
+ "metadata": {},
+ "source": [
+ "# Overall Interpretation and Limitations\n",
+ "\n",
+ "Both the ANOVA and regression analyses for both environmental (MW capacity) and social (people connected) impacts consistently show that the binary Conflict Status variable, does not have a statistically significant direct impact on the Value (capacity or people connected) when controlling for Year. The Year variable, however, is consistently significant, indicating a general upward trend in solar PV deployment and access over time, regardless of conflict status.\n",
+ "\n",
+ "### Key Takeaways and Caveats:\n",
+ "\n",
+ "\n",
+ "
Statistical vs. Visual Trends: While the visual trends in the previous analysis might have suggested differences, these statistical models, which control for the effect of time, do not find a statistically significant difference attributable solely to the binary Conflict Status. This highlights the importance of statistical testing to confirm observed patterns.
\n",
+ "\n",
+ "
Limited Explanatory Power: The extremely low R-squared values (0.007 for MW and 0.004 for Thousands) are crucial. They indicate that Year and the binary Conflict Status explain a negligible amount of the variation in solar PV capacity and connections. This strongly suggests that there are many other, more influential factors at play that were not included in these models.
\n",
+ "\n",
+ "
Binary Conflict Definition: The primary limitation is the simplistic binary definition of conflict status. Real-world conflicts vary greatly in intensity, duration, and geographical spread. A country might be classified as 'Conflict' even if only a small region is affected, which could dilute the observed impact on national-level solar PV data.
\n",
+ "\n",
+ "
Confounding Variables: The models do not account for other critical factors that influence solar PV deployment and access, such as economic development, specific government policies, international aid, geographical characteristics, and energy demand. These unobserved variables are likely confounding the relationship, meaning they are correlated with both conflict status and solar PV adoption, making it difficult to isolate the true effect of conflict.
\n",
+ "\n",
+ "
Data Aggregation: The data is aggregated at the country-year level. This means that localized impacts within a country (e.g., a specific region heavily affected by conflict) might be averaged out and not visible in the national-level data.
\n",
+ "\n",
+ "
Causality: These statistical models demonstrate correlation (or lack thereof), not causation. While conflict might hinder solar PV development, it's also plausible that regions with lower development (and thus lower solar PV adoption) are more susceptible to conflict.
\n",
+ "\n",
+ "
Time Lag Effects: The models assume an immediate effect of conflict status. However, the impact of conflict on infrastructure development and energy access might have a delayed effect, manifesting several years after the conflict begins or ends. The current models do not account for such time lags.
\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "115262d3",
+ "metadata": {},
+ "source": [
+ "# TL;DR:\n",
+ "> This analysis focuses on the social and environmental aspects, while other team members addressed some of the above mentioned limitations in more depth."
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.12.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/4_data_analysis/social_environment_analysis/tech_explanation.md b/4_data_analysis/social_environment_analysis/tech_explanation.md
new file mode 100644
index 000000000..eced24e50
--- /dev/null
+++ b/4_data_analysis/social_environment_analysis/tech_explanation.md
@@ -0,0 +1,106 @@
+# Technical explanation
+
+## Introduction
+
+The analysis utilized two datasets: IRENA_OFGStats_mw.cleaned.xlsx for capacity
+in Megawatts (MW) and IRENA_OFGStats_thousands.cleaned.xlsx for connections in
+thousands of people. Both datasets included a 'Conflict Status' variable
+(Conflict/No Conflict) and spanned the years 2000-2025
+
+## Methodology
+
+### Analytical Techniques
+
+#### Descriptive Analysis
+
+Time-series trends were generated by grouping data
+by 'Year' and 'Conflict Status' and summing 'Value'. Distributions were
+examined using descriptive statistics. Regional deployment and social
+impact patterns were analyzed by summing 'Value' across 'Region' and 'Conflict Status'.
+
+#### Statistical Modeling
+
+- **ANOVA (Analysis of Variance):** Used to test for statistically significant
+ differences in the mean 'Value' (MW capacity or thousands of people connected)
+ between 'Conflict' and 'No Conflict' groups. The formula used was
+ `Value ~ C(Q("Conflict Status"))` for MW data and `Value ~ C("Conflict Status")`
+ for thousands data.
+
+- **Ordinary Least Squares (OLS) Regression:** Employed to model the relationship
+between 'Value' (dependent variable) and 'Year' (continuous independent variable)
+ and 'Conflict Status' (categorical independent variable). The formula used was
+`Value ~ Year + C(Q("Conflict Status"))` for MW data and
+`Value ~ Year + C("Conflict Status")` for thousands data.
+'Conflict Status' was encoded as a categorical variable.
+
+## Key findings
+
+### Environmental Impact (MW Capacity)
+
+- **Trends:** Visual inspection of raw data indicated a general increase in solar
+PV capacity over time in both conflict and non-conflict regions, with non-conflict
+regions showing a higher overall capacity and steeper growth.
+
+- **ANOVA:** The ANOVA for solar PV capacity by conflict status yielded a p-value
+of 0.2498. This indicates no statistically significant difference in mean solar
+PV capacity between conflict and non-conflict regions at the 0.05 significance level.
+
+- **Regression:** The OLS regression model for solar PV capacity showed 'Year'
+as a statistically significant predictor (p < 0.001), with a positive coefficient
+(0.2643), indicating an increase in capacity over time. 'Conflict Status' was
+not statistically significant (p = 0.255). The model's R-squared was very low
+(0.007), suggesting that 'Year' and 'Conflict Status' explain very little
+variance in capacity.
+
+#### Greenhouse Gas Emissions Avoided
+
+To quantify a direct environmental benefit, greenhouse gas (GHG) emissions
+avoided can be estimated by applying a general emission factor for solar PV
+(e.g., 50 gCO2eq/kWh) to the deployed solar PV capacity, considering factors
+such as capacity factor and operational lifespan. The annual GHG emissions
+avoided will vary significantly based on conflict status, with deployments in conflict
+zones typically showing lower mitigation impacts compared to non-conflict regions
+due to disparities in installed capacity. This highlights a reduced environmental
+benefits in conflict-affected areas.
+
+### Social Impact (Thousands of People Connected)
+
+- **Trends:** Visual inspection suggested a higher number of people connected
+to solar PV in non-conflict regions and a faster growth rate compared
+to conflict areas.
+
+- **ANOVA:** The ANOVA for people connected by conflict status resulted in
+a p-value of 0.774529, indicating no statistically significant difference in
+the mean number of people connected between conflict and non-conflict regions.
+
+- **Regression:** The OLS regression model for people connected also found 'Year'
+to be a statistically significant predictor (p < 0.001), with a positive
+coefficient (19.2464), indicating an increase in connections over time.
+'Conflict Status' was not statistically significant (p = 0.774).
+The R-squared was very low (0.004), implying that these variables
+explain minimal variance in connections.
+
+#### Holistic Social Impact: Interpretation of People Connected
+
+The metric of 'People Connected' to solar PV systems serves as a holistic
+indicator of social impact, encompassing various benefits beyond mere electricity
+provision. These benefits include, but are not limited to, improved health outcomes
+(reduced indoor air pollution from traditional fuels), enhanced educational
+opportunities (lighting for study), increased safety and security
+(illumination of homes and public spaces), and economic empowerment
+(support for small businesses, mobile phone charging). The observed disparities
+in 'People Connected' between conflict and non-conflict zones directly reflect
+differential access to these multifaceted social advantages. The limited reach
+of solar PV in conflict-affected areas therefore implies a constrained realization
+of these critical social benefits, exacerbating existing vulnerabilities.
+
+## Conclusion
+
+Although our initial observations might make it seem like conflicts directly hinder
+solar power development, our deeper statistical suggests that the
+relationship is far more complicated than a simple cause-and-effect. Many other
+factors are at play, and the way we define and measure conflict significantly
+impacts what we can conclude. This means that truly understanding and addressing
+the challenges of bringing solar power to conflict-affected communities requires
+a much more detailed and nuanced approach, looking beyond simple labels and
+considering the complex web of influences.
diff --git a/5_communication_strategy/README.md b/5_communication_strategy/README.md
index 30560c7e5..a07b11b5b 100644
--- a/5_communication_strategy/README.md
+++ b/5_communication_strategy/README.md
@@ -1 +1,251 @@
+
+
# Communication Strategy
+[](https://git.io/typing-svg)
+
+This strategy is designed to empower **Popular Committees in Sudan** to champion solar energy solutions for their communities.
+
+## **Core Message**
+**Solar power is not just about lights—it's about our community's future.**
+- *"When the main power is cut, solar energy keeps our clinics running, our water pumps flowing, and our neighborhoods safe."*
+- *"This isn't a temporary fix; it's a permanent solution that gives us control over our own essential services."*
+
+---
+
+## **Narrative: A Story for Our Community**
+
+### **1. Beginning – The Problem We All Face**
+
+- **Challenge:**
+ - Khartoum’s power grid is unreliable and frequently fails, especially during crises.
+ - Diesel is costly, difficult to obtain, and dependent on noisy, high-maintenance generators.
+ - These issues disrupt essential services such as clinics, schools, and water supply.
+
+- **Misconception:**
+ - Many believe solar is only suitable for private homes or businesses.
+ - It’s often perceived as too expensive or complicated for public infrastructure.
+
+
+Current Situation
+
+- **Power Reliability:**
+ In Khartoum and nearby areas, outages can last **1–7 days** during peak demand or crisis periods.
+
+
+ Duration Varies
+
+ The length of blackouts depends on the situation:
+ - **Routine Unreliability:** Even in stable periods, daily outages of **12–16 hours** are common due to poor infrastructure and maintenance.
+ - **Peak Demand:** Hot summer months overwhelm the grid, causing longer and more frequent outages.
+ - **Conflict & Crisis:** The most severe scenario — damage to power stations or transmission lines can cause outages lasting **days, weeks, or even months**.
+ In some cases, residents have had to repair damaged infrastructure themselves.
+
+
+- **Diesel Dependence:**
+ - Price (2025): ~**$2.10/litre**.
+ - A small clinic consumes **80–120 litres/month** just for refrigeration and lighting.
+
+- **Impact on Services:**
+ - **Healthcare:** Vaccines spoil; night operations are cancelled.
+ - **Water:** Pumps stop, forcing residents to fetch water manually.
+ - **Education:** Evening classes are cancelled due to lack of lighting.
+
+
+
+
+### **2. Middle – The New Discovery**
+- **Evidence:** Successful solar adoption exists in parts of Sudan and elsewhere.
+- **Reality:** Small, durable solar systems outperform the central grid, especially during crises.
+- **Opportunity:** Replace costly diesel generators with community-owned solar solutions.
+
+### **3. End – The Call to Action**
+- **Implication:** Solar is vital infrastructure for resilience and self-sufficiency.
+- **Action:** Popular Committees to lead as champions of solar adoption.
+
+---
+## **Audience**
+
+In this strategy, we combined two audiences to deliver an impactful result:
+
+
+
+1. Funder / Donor
+
+**Who they are**: [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/)
+
+| **Category** | **Details** |
+|--------------|-------------|
+| **Target Funders** | [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/) |
+| **What Drives Them?** | Belief in **refugee-led solutions**. Their mission is to **center displaced people** in humanitarian work, valuing lived experience as key to identifying needs and crafting effective solutions. |
+| **Why Our Project Fits** | Our project highlights **solar energy as a survival infrastructure**, showing how communities are already **innovating**. This aligns with their **bottom-up, grassroots** approach. |
+| **What They Fund** | - **Early-stage innovations** by refugees, for refugees - Community-based projects - Strong focus on **energy access** and practical solutions |
+| **Geographic Focus** | Global — open to all countries where **UNHCR operates** |
+| **Partners & Grantees** | Refugee-Led Organizations (RLOs), local community groups, and **non-traditional partners** |
+| **Goals** | - **Empower refugees** to lead solutions - **Build capacity** (project management, finance, data) - Promote **sustainable, dignified alternatives** to traditional aid |
+| **Problem They Address** | Lack of **flexible, direct funding** for local refugee-led initiatives |
+| **Incentive** | Belief that **investing in refugee-led innovation** leads to more **sustainable and impactful** outcomes than top-down approaches |
+| **How They Operate** | - Focused on **real-world impact**, not flashy tech - Want a **clear, actionable plan** - Value **strong community engagement** |
+| **Assumptions** | - Refugees are **active problem-solvers**, not passive recipients - **Energy is essential** and must be **affordable, reliable, and locally accessible** |
+| **Grant Information** | - **Fund Name:** [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/) - **Location:** Based in Copenhagen, Denmark (Global reach) - **Status:** **Open** for applications - **Deadline:** August 22, 2025 - **Eligibility:** Must be **led by forcibly displaced or stateless people** |
+| **Preferred Communication Channels** | - **Email** (professional and concise) - **LinkedIn** (for initial contact and visibility) - Possibly open to **Zoom/Webinars** if discussing partnerships or innovations |
+| **What's Offered** | - **Financial support:** Up to $45,000 USD. - **Holistic support:** This goes beyond just money. It includes mentoring, help with project management, technical expertise (like legal or technology advice), and opportunities for networking with other refugee-led organizations. - **Focus on learning:** The fund emphasizes measuring outcomes and sharing lessons learned. |
+| **What we need from them** |-**Fund Our Pilot Project:** We request flexible, direct funding (up to $45,000) to design, implement, and evaluate a refugee-led "Solar Survival Kit" pilot in Khartoum, Sudan. - **Amplify Our Findings:** Use their platform to share our blog post, research and project outcomes with key policymakers, donors, and other humanitarian organizations. - **Support Local Leadership:** Advocate for a shift in humanitarian energy policy that prioritizes and funds refugee-led, grassroots solutions. |
+| **The Application Process** | -Submitting a proposal online. - A vetting and due diligence phase to check eligibility (specifically that at least 50% of the leadership has lived experience). - A pitch to a selection committee. - A final review by a steering committee, which includes displaced and stateless individuals.|
+| **Barriers to Engagement** | - Projects not led by refugees are **ineligible** regardless of quality - Overly **technical or top-down language** may be a turn-off - Lack of community involvement or unclear benefit to displaced people |
+| **Best Medium / Format** | - **Blog posts** (story-driven, impact-focused) - **One-pagers or infographics** (clear, visual summaries of outcomes) - **Short reports with data + community voices** |
+
+
+
+
+
+2. General Public
+
+**Who they are**: Popular (Neighborhood-Based) Committees for Local Service Delivery and Community Administration in Sudan.
+
+**What They Do:** These are community-based bodies,
+typically formed at the neighborhood or village level,
+to manage and coordinate essential local affairs in the
+absence or weakness of formal state institutions.
+They are often responsible for basic service delivery
+(such as water, electricity, and sanitation),
+issuing residence certificates, resolving local disputes,
+organizing community security efforts,
+and mobilizing resources through voluntary contributions.
+
+**Their Goals and Aims:** Their main purpose is to serve as a link between regulatory bodies,
+government agencies, aid organizations, and the members of the communities they represent.
+In contexts like Sudan, these committees can play a vital governance role—especially
+during periods of crisis or when state presence is limited.
+
+**Their Scientific Background:** As committee members are elected from within the community,
+their educational and scientific backgrounds can vary significantly.
+However, it is generally expected that most of them have at least
+a basic understanding of mathematics and statistics, which should
+make it possible to communicate findings and results effectively.
+Most also have access to smartphones and the internet and are comfortable using them.
+
+**Their Background on Solar Energy:** Solar energy is already
+recognized as a resilient solution to Sudan’s energy challenges.
+However, its use has been mostly limited to individual
+applications—such as private homes or services provided by
+the private sector. It has not yet been widely adopted for
+public services such as health, education, or agriculture.
+In these sectors, communities still rely primarily on diesel
+generators, as they are more familiar and accessible.
+
+#### **What we expect from them:**
+- Raise awareness about the benefits of solar
+ energy for public services (schools, clinics, water pumps).
+- Dispel common misconceptions
+ (e.g., solar is only for homes, or it’s too expensive to maintain).
+- Encourage collective acceptance of solar projects.
+- Highlight locations and institutions
+ where solar infrastructure would have the highest impact.
+- Encourage community contributions
+ (financial or in-kind) to expand deployment.
+- Coordinate between communities,implementing partners,
+ and government agencies to enable smooth deployment.
+- Organize community meetings or forums for
+ project planning and decision making.
+tain communication with updates and invitations for joint activities.
+
+
+---
+## Medium
+
+
+A. For Committees
+
+#### **1. Communication & Awareness Tools**
+- **Infographics** (WhatsApp-shareable) showing solar benefits:
+ - *Clinic:* Vaccines stay cold, operations continue at night.
+ - *Water Pump:* Water flows without costly diesel.
+ - *School:* Evening study possible despite outages.
+- **Short Videos:** Success stories from other committees/leaders.
+- **Case Studies:** One-page documents including:
+ - Problem → Solution → Result.
+
+#### **2. Guiding Community Meetings & Forums**
+- **Meeting Agenda Template** for discussing solar adoption.
+- **Decision-Making Framework** with ranking criteria:
+ - People served.
+ - Service criticality in emergencies.
+ - Sunlight availability and installation space.
+
+#### **3. Dispelling Misconceptions**
+- **Fact Sheets:**
+ - *Myth:* Solar is too expensive → **Fact:** Saves money over time.
+ - *Myth:* Solar is for the rich → **Fact:** Community investment benefits all.
+ - *Myth:* Solar is unreliable → **Fact:** Modern tech works day/night, even on cloudy days.
+
+#### **4. Mobilizing Community Action**
+- **Contribution Plan Template** for funding, labor, or site provision.
+- **Partner Coordination Guide** for working with aid agencies and NGOs.
+
+
+
+
+B. For Funders (UNHCR)
+
+#### 1. Pitch Presentation
+
+* **Action:** Create a concise, visually appealing deck (e.g., 10-15 slides).
+* **Content:**
+ * **Slide 1: The Problem (The "Why"):** Use a single powerful image and a short, emotional headline, such as, "When the lights go out, lives are at risk."
+ * **Slide 2: Our Discovery (The Data):** Show a simple chart or map from our data science project that highlights the need.
+ * **Slide 3: Our Solution (The "What"):** Introduce the **"Solar Survival Kit"** with a clear diagram or prototype image.
+ * **Slide 4: Our Partners (The "Who"):** Feature a picture of the Popular Committees and explain their leadership role.
+ * **Slide 5: Our Plan (The "How"):** Use a simple timeline to show our implementation plan.
+ * **Slide 6: Our Ask:** Clearly state our request for $45,000 and what we'll achieve with it.
+ * **Final Slide: The Vision:** End with a powerful statement about the future we are building—resilient, self-sufficient communities in Sudan.
+
+
+
+
+ C. For the Public
+
+#### 1. Blog Post & Infographics
+
+This is about building buy-in and awareness, using simple, relatable language.
+
+* **Action:** Publish the blog post on website or a platform like Medium, and create shareable infographics for platforms like WhatsApp and Facebook.
+* **Content:**
+ * **Blog Post:**
+ * The title should be inspiring and relatable, such as, "How Our Community is Building a Brighter Future with Solar Power."
+ * Use the "Narrative: A Story for Our Community" to guide the structure.
+ * Keep the language simple and avoid jargon.
+ * Include quotes from community members and stories of success.
+ * End with a clear call to action: "Join our next meeting to learn more," or "Share this with your neighbors."
+ * **Infographics:**
+ * Create visuals for each of the "Fact Sheets" to dispel myths.
+ * Use simple icons to represent clinics, schools, and water pumps.
+ * Show a side-by-side comparison of the cost and effort of diesel versus solar.
+ * Ensure all text is in the local language(s) and is easy to read on a smartphone.
+
+
+---
+
+## Actions & Expectations
+
+### **From UNHCR (Funder)**
+- **Financial Support:** Up to $45,000 for the pilot “Solar Survival Kit.”
+- **Holistic Support:**
+ - Project management expertise.
+ - Technical advice on solar.
+ - Mentoring and partner connections.
+- **Advocacy:** Amplify results to influence wider humanitarian policy.
+
+### **From Popular Committees (Local Partners)**
+- **Awareness:** Educate community on public-service solar.
+- **Mobilization:** Lead myth-busting and community buy-in.
+- **Coordination:** Organize meetings and oversee implementation.
+- **Project Selection:** Identify high-impact sites for solar.
+
+---
+
+## Change
+Our project aims to create a fundamental shift from dependency to resilience.
+
+* **From Donors:** We want to change their funding model from supporting costly, short-term solutions to **investing in sustainable, community-led solar infrastructure.**
+* **From Communities:** We want to shift the mindset around solar from a private luxury to a **vital public utility** managed by local leaders.
+* **For the Humanitarian Sector:** We want to redefine solar energy as a **core component of emergency response**, not a niche innovation, providing a new model for energy resilience in conflict zones.
diff --git a/5_communication_strategy/email.md b/5_communication_strategy/email.md
new file mode 100644
index 000000000..f454e80da
--- /dev/null
+++ b/5_communication_strategy/email.md
@@ -0,0 +1,35 @@
+
+
+
+
+
+
+**Subject:** Collaboration Opportunity: Refugee-Led Innovation Fund Application
+
+Dear Fay Magid,
+
+I hope this email finds you well. My name is **Ahd Abdelrahim**, and I am reaching out on behalf of my team from the **MIT Emerging Talent program**.
+
+We are currently working on a project that addresses the **energy challenges faced by displaced communities**, specifically exploring how **solar energy** can serve not only as a sustainable technology but also as a survival infrastructure in conflict-affected areas. Our aim is to design **practical, community-driven solutions** that provide reliable energy access and restore dignity for displaced and underserved populations.
+
+We came across your impactful work with **IEEE** and believe your organization’s expertise and credibility would make you an invaluable partner as we prepare to apply for the **UNHCR Refugee-Led Innovation Fund (RLIF)**. Since only organizations are eligible to apply (not individuals), we are seeking a partnership with an established organization like IEEE to strengthen our proposal.
+
+If our work resonates with you, we would be honored to explore the possibility of collaborating under your organization’s name for the RLIF application. This would involve representing the project together, while we contribute the **research, proposal draft, and community-focused design** we have already developed.
+
+To give you more details, we have prepared:
+- A [document](https://docs.google.com/document/d/1qtnTPDyECZFVlH4yhWlZRAuwwtspa7mvojq4XWrX1DM/edit?tab=t.0) outlining the fund, requirements, and our draft budget
+- A [GitHub repository](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo) where our research and progress are documented
+- A [pitch deck](https://solarenergyforcommunityresilienceinsudan.my.canva.site/) and [proposal](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/5_communication_strategy/proposal.md) aligned with the UNHCR evaluation criteria
+- A [blog post](https://medium.com/@ahdbasan/survival-not-just-sustainability-the-role-of-solar-in-conflict-zones-54ef59c76af4) highlighting how solar energy provides resilience and dignity in conflict-driven blackouts
+
+The application deadline is **August 31, 2025**, so we would greatly appreciate hearing back from you at your earliest convenience.
+
+We truly believe this project can make a meaningful impact, but to make it a reality, we need the support of an established organization like IEEE. If you find our work aligned with your mission, we would love to discuss possible next steps.
+
+Thank you for taking the time to consider this. I look forward to hearing your thoughts.
+
+Warm regards,
+**Ahd Abdelrahim**
+MIT Emerging Talent Program – Cohort 6
+[ahdbasan2@gmail.com](maltio:ahdbasan2@gmail.com)
+GitHub – [ahdbasan](https://github.com/ahdbasan)
diff --git a/5_communication_strategy/guide.md b/5_communication_strategy/guide.md
index 275ba73c7..5c00c2891 100644
--- a/5_communication_strategy/guide.md
+++ b/5_communication_strategy/guide.md
@@ -1,6 +1,32 @@
-# Communication Strategy: Guide
-This folder is here to organize the communication strategy for your research
-findings. You can use it however you like. Your communication artefact doesn't
-need to be stored here - it could be a video hosted on YouTube, a SM campaign,
-... don't constrain yourself to something that can be stored on GitHub!
+
+
+
+
+# **Communication Strategy: Guide**
+
+This project’s communication strategy is split into four key files.
+Each serves a different purpose — together, they form a complete, consistent message.
+
+### Team Process
+
+- **`process.md`** → [View file](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/communicating_res/5_communication_strategy/process.md)
+ The **detailed playbook** for our process of choosing persona and how to communicate with each audience.
+ - **Includes:** General Core mesage, audience profiles, barriers to adoption, engagement methods and communication channels
+
+### The Document
+
+- **`readme.md`** → [View file](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/communicating_res/5_communication_strategy/README.md)
+ The **public-facing summary** blending storytelling with actionable strategy.
+ - **Includes:** Project overview, key messages, condensed audience insights, expectations from partners, evaluation criteria, and recommended communication tools, change and action.
+
+### Communication Artifact
+
+- **`pitch.md`** → [View file](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/communicating_res/5_communication_strategy/pitch.md)
+ A **short, persuasive introduction** for UNHCR, partners, and decision-makers and an email draft.
+ - **Includes:** Problem statement, key insight from our data analysis, the "Solar Survival Kit" concept, community partnership model, and the funding/partnership request.
+
+- **`proposal.md`** → [View file](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/communicating_res/5_communication_strategy/proposal.md)
+ A **full grant-style proposal** with structured details aligned to UNHCR evaluation criteria.
+ - **Includes:** Challenge framing, innovation, community leadership, implementation roadmap, impact, sustainability, scale.
+
diff --git a/5_communication_strategy/pitch.md b/5_communication_strategy/pitch.md
new file mode 100644
index 000000000..55840eecc
--- /dev/null
+++ b/5_communication_strategy/pitch.md
@@ -0,0 +1,7 @@
+
+
+# **Solar Energy for Community Resilience in Sudan**
+
+# [Pitch Deck Presentation](https://solarenergyforcommunityresilienceinsudan.my.canva.site/)
+
+
diff --git a/5_communication_strategy/process.md b/5_communication_strategy/process.md
new file mode 100644
index 000000000..335209163
--- /dev/null
+++ b/5_communication_strategy/process.md
@@ -0,0 +1,205 @@
+
+
+# Communicating Results Strategy
+[](https://git.io/typing-svg)
+
+> 🟡 _**When the Grid Goes Dark, the Sun Keeps the Lights On**_
+
+In conflict-affected areas, reliable energy isn’t a luxury — it’s survival.
+As power grids fail, **solar quietly powers clinics, clean water, lights — and hope**.
+
+## Core Message
+> _"Solar energy isn’t just green — it’s a lifeline."_
+> “When the grid goes dark, a $10 solar lamp becomes the difference between isolation and connection.”
+
+In war-torn regions, it powers what matters most: healthcare, safety, and communication.
+Even amidst destruction, **solar adoption surges** — proving itself as *critical humanitarian infrastructure*.
+_It demonstrates surprising resilience and critical adaptation._
+
+| **Why This Matters** |
+|--------------------------|
+| - _Humanitarian aid planning_ must treat energy as a **basic need** — not an afterthought. - For _governments_: decentralizing energy through solar isn’t just climate action — **it’s conflict resilience planning.** |
+
+----
+## Narrative
+
+### **1. Beginning – The Problem**
+In conflict zones, energy systems fail. **90% of refugee settlements lack reliable electricity.**
+[](https://git.io/typing-svg)
+
+Solar energy is often seen as a cost-effective and scalable solution for energy access — but in conflict zones, this promise is threatened by a range of economic and systemic challenges:
+
+- **Solar is more expensive in conflict zones**
+ Even though solar is generally affordable worldwide, in areas affected by war or instability, solutions like solar kits can cost up to **57% more**, making them unaffordable for the communities that need them most. A relevant report is the [IEA's World Energy Outlook 2023](https://www.iea.org/reports/world-energy-outlook-2023)
+
+- **People without electricity mostly live in these places**
+ An estimated **64% of people lacking electricity access live in conflict-affected regions**, meaning that high costs disproportionately impact the most vulnerable populations. The [World Bank's Energy Overview](https://www.worldbank.org/en/topic/energy/overview) states that "Eight out of 10 people without electricity today live in remote, fragile, or conflict-affected regions."
+
+- **Investors see conflict zones as risky**
+ Due to **unstable governments**, **weak currencies**, and **political volatility**, investing in renewable energy in these regions is seen as high-risk and expensive. This discourages private sector involvement and leads to limited project implementation as stated in the paper ["The role of political risk in renewable energy investments: a developing country perspective"](https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=ea05d053748c4836f162eab825d84bb0fa47c2b3)
+
+- **Humanitarian funding is falling short**
+ Traditional **grant-based aid is insufficient** for delivering sustainable solar solutions. Because energy is often categorized as a “development” goal rather than a humanitarian need, it receives **lower priority in emergency funding** — despite being essential for survival. The [Humanitarian Energy Outlook 2023](https://www.humanitarianenergy.org/assets/resources/HEO_2023.pdf)
+from the Global Platform for Action (GPA) discusses this.
+
+- **Private companies don’t want to invest**
+ Many businesses avoid refugee or displacement settings, viewing them as **temporary** and **not commercially viable**, which further reduces investment in renewable energy for those communities. The Norwegian Refugee Council (NRC) report ["Blended Finance Solutions for Clean Energy in Humanitarian and Displacement Settings"](https://www.nrc.no/globalassets/pdf/reports/blended-finance-solutions-for-clean-energy/blended-finance-solutions-for-clean-energy-in-humanitarian-and-displacement-settings.pdf) explains it.
+
+These interconnected barriers threaten the role of solar energy as a reliable form of survival infrastructure in the very places where it’s needed most.
+
+
+
+
+
+### **2. Middle – The Discovery**
+Our data tells a surprising story:
+- **Solar adoption surges during conflict** — contrary to expectations.
+- **Off-grid tech (like lamps & batteries)** becomes more critical than large infrastructure.
+- **Humanitarian response often overlooks energy**, despite its role in survival.
+
+
+### 3. End – The Implication
+Solar isn’t just green tech — it’s **crisis tech**. But to fulfill its promise, it needs support.
+
+**Call to Action:**
+> Rethink energy aid. Prioritize solar access in fragile settings.
+
+----
+
+## Audience
+
+| Persona Name | Description | Example(s) | Preferred Format(s) |
+|---------------------------|------------------------------------------------------------------------------------------------------|-----------------------------------------------------|------------------------------------------------------------------|
+| **1. Solar Energy Initiatives** | Deploy solar solutions in underserved or conflict-affected communities. | SolarAid, UNDP's Solar for Health, Power for Refugees | Case studies, data visualizations, videos |
+| **2. Funders / Donors** | Provide financial support for humanitarian relief and energy interventions in fragile settings. | USAID, GIZ, philanthropic foundations | Dashboards, impact stories, executive summaries |
+| **3. General Public** | Raise awareness, influence policy, and support energy access in crisis through advocacy or donations. | Voters, online campaigns, diaspora, student groups | Social media, short videos, storytelling visuals, interactive websites |
+| **4. Journalists** | Report and amplify issues related to energy, conflict, and humanitarian conditions. | Investigative reporters, energy/environmental media | Press releases, human-interest stories, data briefs, interviews |
+
+### Personas (Digging Deeper)
+#### 1. Energy Research Centers
+
+| **Category** | **Details** |
+|----------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| **Target Center** | **National Energy Research Centre (NERC)** – [LinkedIn Profile](https://www.linkedin.com/company/nerc-national-energy-research-center/) Operates under Sudan’s Ministry of Science and Communication focused on energy access and sustainable development. |
+| **Key Contact** | Yassir Yassin, Head of Energy Systems – [LinkedIn](https://www.linkedin.com/in/yassir-yassin) |
+| **What Drives Them** | Addressing energy poverty through capacity-building, technical research, and policy-focused initiatives. [Source: AfDB](https://www.afdb.org/en/news-and-events/afdb-grants-us-0-34-million-to-sudans-national-energy-research-centre-11597) |
+| **Why Our Project Fits** | - Aligns with NERC’s mission to expand energy access in underserved and post-conflict areas. - Provides real-world data and implementation insights that enhance their research. - Supplies evidence to support advocacy and policy formulation. |
+| **How They Can Support Our Project** | - Share relevant datasets and research to improve our analysis quality. - Collaborate on pilot projects and field implementations. - Assist in policy advocacy for renewable energy adoption in fragile and conflict-affected contexts. |
+| **Geographic Focus** | National coverage across Sudan, with emphasis on conflict-affected areas. |
+| **Partners & Grantees** | Collaborates with government ministries, private companies, community organizations, and development partners. |
+| **Goals** | - Quantify and analyze energy poverty. - Develop technological, policy, and governance solutions to promote equitable energy access. |
+| **Preferred Communication Channels** | - LinkedIn or WhatsApp for initial contact. - Open to Zoom or in-person meetings for follow-up discussions. |
+| **Best Medium / Format** | - Concise project briefs (1–2 pages) highlighting mutual benefits. - One-pagers or infographics for clear, visual summaries. - Blog posts or case studies for storytelling and impact-focused communication. |
+
+
+
+
+
+
+
+#### 2. Funders / Donors
+
+#### [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/)
+
+UNHCR’s Innovation Service is dedicated to creating an enabling environment for innovation to flourish at UNHCR, the UN Refugee Agency.
+
+| **Category** | **Details** |
+|--------------|-------------|
+| **Target Funders** | [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/) |
+| **Who?** | **Grazia Paoleri** Senior Technical Advisor for the EU’s contribution to the Refugee Response in Uganda [LinkedIn Profile](https://ug.linkedin.com/in/grazia-paoleri-54025b60/en?trk=public_post_feed-actor-name) |
+| **What Drives Them?** | Belief in **refugee-led solutions**. Their mission is to **center displaced people** in humanitarian work, valuing lived experience as key to identifying needs and crafting effective solutions. |
+| **Why Our Project Fits** | Our project highlights **solar energy as a survival infrastructure**, showing how communities are already **innovating**. This aligns with their **bottom-up, grassroots** approach. |
+| **What They Fund** | - **Early-stage innovations** by refugees, for refugees - Community-based projects - Strong focus on **energy access** and practical solutions |
+| **Geographic Focus** | Global — open to all countries where **UNHCR operates** |
+| **Partners & Grantees** | Refugee-Led Organizations (RLOs), local community groups, and **non-traditional partners** |
+| **Goals** | - **Empower refugees** to lead solutions - **Build capacity** (project management, finance, data) - Promote **sustainable, dignified alternatives** to traditional aid |
+| **Problem They Address** | Lack of **flexible, direct funding** for local refugee-led initiatives |
+| **Incentive** | Belief that **investing in refugee-led innovation** leads to more **sustainable and impactful** outcomes than top-down approaches |
+| **How They Operate** | - Focused on **real-world impact**, not flashy tech - Want a **clear, actionable plan** - Value **strong community engagement** |
+| **Assumptions** | - Refugees are **active problem-solvers**, not passive recipients - **Energy is essential** and must be **affordable, reliable, and locally accessible** |
+| **Grant Information** | - **Fund Name:** [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/) - **Location:** Based in Copenhagen, Denmark (Global reach) - **Status:** **Open** for applications - **Deadline:** August 22, 2025 - **Eligibility:** Must be **led by forcibly displaced or stateless people** |
+| **Preferred Communication Channels** | - **Email** (professional and concise) - **LinkedIn** (for initial contact and visibility) - Possibly open to **Zoom/Webinars** if discussing partnerships or innovations |
+| **What's Offered** | - **Financial support:** Up to $45,000 USD. - **Holistic support:** This goes beyond just money. It includes mentoring, help with project management, technical expertise (like legal or technology advice), and opportunities for networking with other refugee-led organizations. - **Focus on learning:** The fund emphasizes measuring outcomes and sharing lessons learned. |
+| **What we need from them** |-**Fund Our Pilot Project:** We request flexible, direct funding (up to $45,000) to design, implement, and evaluate a refugee-led "Solar Survival Kit" pilot in Khartoum, Sudan. - **Amplify Our Findings:** Use their platform to share our blog post, research and project outcomes with key policymakers, donors, and other humanitarian organizations. - **Support Local Leadership:** Advocate for a shift in humanitarian energy policy that prioritizes and funds refugee-led, grassroots solutions. |
+| **The Application Process** | -Submitting a proposal online. - A vetting and due diligence phase to check eligibility (specifically that at least 50% of the leadership has lived experience). - A pitch to a selection committee. - A final review by a steering committee, which includes displaced and stateless individuals.|
+| **Barriers to Engagement** | - Projects not led by refugees are **ineligible** regardless of quality - Overly **technical or top-down language** may be a turn-off - Lack of community involvement or unclear benefit to displaced people |
+| **Best Medium / Format** | - **Blog posts** (story-driven, impact-focused) - **One-pagers or infographics** (clear, visual summaries of outcomes) - **Short reports with data + community voices** |
+
+
+
+
+#### 3. General Public
+
+**Who they are**: Popular (Neighborhood-Based) Committees for Local Service Delivery and Community Administration in Sudan.
+
+**What They Do:** These are community-based bodies,
+typically formed at the neighborhood or village level,
+to manage and coordinate essential local affairs in the
+absence or weakness of formal state institutions.
+They are often responsible for basic service delivery
+(such as water, electricity, and sanitation),
+issuing residence certificates, resolving local disputes,
+organizing community security efforts,
+and mobilizing resources through voluntary contributions.
+
+**Their Goals and Aims:** Their main purpose is to serve as a link between regulatory bodies,
+government agencies, aid organizations, and the members of the communities they represent.
+In contexts like Sudan, these committees can play a vital governance role—especially
+during periods of crisis or when state presence is limited.
+
+**Their Scientific Background:** As committee members are elected from within the community,
+their educational and scientific backgrounds can vary significantly.
+However, it is generally expected that most of them have at least
+a basic understanding of mathematics and statistics, which should
+make it possible to communicate findings and results effectively.
+Most also have access to smartphones and the internet and are comfortable using them.
+
+**Their Background on Solar Energy:** Solar energy is already
+recognized as a resilient solution to Sudan’s energy challenges.
+However, its use has been mostly limited to individual
+applications—such as private homes or services provided by
+the private sector. It has not yet been widely adopted for
+public services such as health, education, or agriculture.
+In these sectors, communities still rely primarily on diesel
+generators, as they are more familiar and accessible.
+
+#### **What we expect from them:**
+- Raise awareness about the benefits of solar
+ energy for public services (schools, clinics, water pumps).
+- Dispel common misconceptions
+ (e.g., solar is only for homes, or it’s too expensive to maintain).
+- Encourage collective acceptance of solar projects.
+- Highlight locations and institutions
+ where solar infrastructure would have the highest impact.
+- Encourage community contributions
+ (financial or in-kind) to expand deployment.
+- Coordinate between communities,implementing partners,
+ and government agencies to enable smooth deployment.
+- Organize community meetings or forums for
+ project planning and decision making.
+tain communication with updates and invitations for joint activities.
+
+
+ #### 4. Journalists
+
+#### Magazine : [Renewable Energy World](https://www.renewableenergyworld.com/)
+
+| Category | Details |
+| :--- | :--- |
+| **Target Magazine** | [Renewable Energy World](https://www.renewableenergyworld.com/) |
+| **Key Contact** | Paul Gerke – Editor & Content Director – [LinkedIn](https://www.linkedin.com/in/paulrgerke?original_referer=https%3A%2F%2Fwww.google.com%2F) |
+| **Contact's Motivation** | Driven by a passion for showcasing innovative renewable energy solutions that have tangible social, environmental, and economic impacts. Particularly interested in stories that merge technical innovation with human benefit. |
+| **Why Our Project Fits** | Our research demonstrates how solar energy can serve as a vital survival infrastructure in conflict zones. It uniquely combines technical feasibility with compelling human stories of resilience, perfectly aligning with their focus on the intersection of technology and real-world impact. |
+| **Content They Publish** | - Technical case studies on renewable energy projects - Human-impact stories about clean energy - Policy and market trend analysis - Expert opinion articles |
+| **Geographic Focus** | Global, with a keen interest in articles and case studies from underreported areas and challenging environments. |
+| **Partners & Contributors** | Renewable energy engineers, NGOs, think tanks, energy policy experts, and tech innovators. |
+| **Goals of the Magazine** | - Inform industry professionals and policymakers about effective renewable energy solutions - Showcase innovation in solar, wind, and energy storage technologies - Highlight projects with measurable results and real-world application |
+| **Problem They Address** | A need for accessible, high-quality reporting that bridges the gap between technical renewable energy knowledge and real-world applications, especially in vulnerable contexts. |
+| **Incentive for Publishing Our Work** | They are actively seeking compelling, well-researched stories that demonstrate the transformative power of renewable energy in unique or challenging environments. Our research provides exactly that. |
+| **Assumptions About Readers** | The readership consists of professionals, investors, and policymakers in the renewable energy sector who are interested in credible data and on-the-ground proof of impact. |
+| **Publication Information** | - **Media Platform:** Renewable Energy World - **Headquarters:** USA (with global readership) - **Status:** Open for guest article submissions |
+| **Preferred Communication Channels** | - **Email:** A short, professional pitch with a clear value proposition - **LinkedIn:** To build rapport and an initial connection - **Website:** Guest article submission form if available |
+| **Potential Barriers to Engagement** | - Pitches that are too promotional rather than informative - Articles lacking credible sources or data - A weak connection between the technology and its real-world outcomes (Our research avoids this by focusing on impact) |
+| **What We Need from Them** | - **Publication:** Feature an article on solar as a survival infrastructure in conflict zones, supported by our research and community interviews. - **Amplification:** Share our findings via their newsletter and social media channels to reach a wider audience of policymakers and investors. - **Awareness:** Help position the issue of energy access in conflict zones as both a critical humanitarian need and a market opportunity |
+| **Best Medium / Format** | - A feature article (1,200–1,500 words) that blends technical data with human-interest stories - Accompanying infographics to visualize key research data - A short, engaging LinkedIn post linking to the full article |
+
diff --git a/5_communication_strategy/proposal.md b/5_communication_strategy/proposal.md
new file mode 100644
index 000000000..6aebfa3bc
--- /dev/null
+++ b/5_communication_strategy/proposal.md
@@ -0,0 +1,115 @@
+
+
+# **Proposal: Solar Energy for Community Resilience in Sudan**
+
+This proposal outlines a plan to
+**empower Popular (Neighborhood-Based) Committees in Sudan**
+to lead the adoption of solar energy as a vital survival
+infrastructure for their communities.
+
+We seek **funding and support from the [UNHCR Refugee-led Innovation Fund](https://www.unhcr.org/innovation/refugee-led-innovation-fund/)** to launch a **pilot project in Khartoum, Sudan**.
+
+---
+
+## **1. Challenge Framing: The Energy Gap in Crisis (15%)**
+
+The **official power grid in Sudan** is unreliable and frequently fails, particularly in conflict-affected areas. This instability forces communities to rely on **expensive, scarce, and high-maintenance diesel generators** for essential services.
+
+While solar energy is recognized as a **resilient solution**, its use has been limited to **individual homes and private businesses**, largely overlooking critical public services like **clinics, schools, and water pumps**.
+
+**Observed Impacts:**
+
+- **Healthcare:** Without consistent power, vaccines spoil and clinics can’t operate after dark.
+- **Water Supply:** Pumps stop, forcing residents to fetch water manually.
+- **Education:** Evening classes are canceled due to lack of light.
+
+Our team — **deeply rooted in the community** — aims to address this tangible, life-affecting challenge by introducing a **sustainable alternative** to diesel reliance.
+
+---
+
+## **2. Innovation: The “Solar Survival Kit” Pilot (30%)**
+
+Our innovation lies not just in **solar technology**, but in the **application and management model** — using solar as a form of *“crisis infrastructure.”*
+
+### **What It Is**
+
+A **modular, durable solar power system** designed for **public institutions** (e.g., community clinics, water pumping stations).
+
+### **What Makes It Innovative**
+
+1. **Co-Creation with Committees**
+ - Kits will be designed **in collaboration** with Popular Committees to meet local needs.
+2. **Community-Led Ownership**
+ - Committees will oversee **deployment, maintenance, and management**.
+3. **Replicable Blueprint**
+ - A pilot that can be scaled to other neighborhoods in Sudan.
+
+**Key Difference:**
+We focus on **collective, public-service applications** of solar energy — moving away from fragmented, individual use.
+
+---
+
+## **3. Community Leadership and Participation (20%)**
+
+The **Popular (Neighborhood-Based) Committees** — elected community representatives — will lead this project.
+
+### **Their Role**
+
+- **Raise Awareness:**
+ Use **WhatsApp infographics** and **short videos** to educate and dispel solar myths.
+- **Plan & Decide:**
+ Lead **community meetings** to select installation sites and encourage contributions.
+- **Coordinate & Implement:**
+ Work with us and partners to ensure smooth deployment and resolve local challenges.
+
+This **“by the community, for the community”** approach follows an **Age, Gender, and Diversity (AGD)** framework, ensuring representation of all demographics.
+
+---
+
+## **4. Implementation Details: A 18-Month Roadmap (15%)**
+
+We request **up to $45,000 USD** for a **18-month pilot**.
+
+### **Timeline**
+
+- **Months 1–2: Co-Design & Mobilization**
+ - Activities: Community meetings, finalize kit design, and launch contribution campaign.
+ - **Expected Outcome:** Community-approved solar kit design; at least 3 sites (clinic, school, water pump) identified; contribution campaign launched with initial pledges.
+
+- **Months 3–6: Training & Capacity Building**
+ - Activities: Deliver a hands-on training program for committee members and community volunteers on solar panel operation, routine maintenance, and troubleshooting.
+ - **Expected Outcome:** At least 20 local members trained and certified; a technical maintenance team formed; community ownership and readiness for installation established.
+
+- **Months 7–10: Procurement & Installation**
+ - Activities: Purchase and install solar kits in selected public institutions.
+ - **Expected Outcome:** Fully installed solar systems in 3–5 public institutions; systems operational and providing reliable energy.
+
+- **Months 11–14: Monitoring & Evaluation**
+ - Activities: Track system performance, collect community feedback, and measure impact.
+ - **Expected Outcome:** Performance data collected; at least 80% satisfaction reported by community users; documentation of lessons learned for improvement.
+
+- **Months 15–18: Reporting & Dissemination**
+ - Activities: Share findings with both the community and UNHCR, publish lessons learned, and highlight opportunities for scaling.
+ - **Expected Outcome:** Comprehensive final report submitted; findings shared through blogs/infographics; at least 2 dissemination meetings held with local leaders and stakeholders.
+
+---
+
+## **5. Impact, Sustainability, and Scale (20%)**
+
+### **Impact**
+
+- Reliable, affordable power for **critical public services**.
+- Direct benefits to **hundreds of households**.
+- Examples:
+ - **Clinic:** Uninterrupted healthcare services.
+ - **Water Pump:** Continuous access to clean water.
+
+### **Sustainability**
+
+- Committees trained for **management and maintenance**.
+- Creation of a **community maintenance fund** (e.g., small user fee).
+
+### **Scale**
+
+- Pilot acts as a **replicable model** for other Sudanese neighborhoods.
+- Potential for a **network of resilient, self-sufficient communities**.
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index e69de29bb..29d2e7dd5 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -0,0 +1,150 @@
+# Contributing Guidelines
+
+Welcome! We're excited you're here and want to contribute to
+the **Emerging Talent 6 Collaborative Data Science Project (CDSP)**.
+ This guide outlines how to set up the repository, what tools you need, and how
+to collaborate effectively.
+
+---
+
+## 🚀 Getting Started
+
+To contribute to this project, follow these steps to set up your environment locally:
+
+### 1. Clone the Repository
+
+```bash
+git clone https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo.git
+cd ET6-CDSP-group-08-repo.git
+```
+
+### 2. Install Required Packages
+
+Install all required Python packages using the provided `requirements.txt`:
+
+```bash
+pip install -r requirements.txt
+```
+
+> If you're using `conda`, you can create an environment with:
+> `conda create --name et6-cdsp python=3.10`
+> Then:
+> `conda activate et6-cdsp`
+> `pip install -r requirements.txt`
+
+---
+
+## 🧰 Tools & Environment
+
+This project primarily uses the following tools:
+
+- **Python 3.10+**
+- **Jupyter Notebook / JupyterLab** (for interactive data exploration)
+- **pandas, numpy, matplotlib, seaborn, scikit-learn** (core data science libraries)
+- **Git** for version control
+- **GitHub Project Boards** for task tracking
+
+Optional tools:
+
+- **VS Code** or another IDE with Python support
+- **Black** or **Flake8** for code formatting and linting
+
+---
+
+## 📂 Folder Structure
+
+Refer to the `README.md` and `guide.md` for an overview of the directory layout.
+Please place files in the correct folders, and link across scripts and notebooks
+clearly.
+
+> Example: If you use a cleaned dataset from `/2_data_preparation`,
+mention that in your script or notebook in `/3_data_exploration`.
+
+---
+
+## 🔄 Workflow Guidelines
+
+To ensure smooth collaboration:
+
+### 1. Create a Branch
+
+Always work on a new branch based on `main`:
+
+```bash
+git checkout main
+git pull
+git checkout -b your-feature-name
+```
+
+### 2. Make Meaningful Commits
+
+- Commit early and often.
+- Use clear, descriptive messages like `Cleaned null values from survey dataset`.
+
+### 3. Push and Open a Pull Request (PR)
+
+Once your work is ready:
+
+```bash
+git push origin your-feature-name
+```
+
+Then go to GitHub and **open a pull request** (PR) against the `main` branch.
+
+### 4. PR Review Policy
+
+> **Every pull request must be reviewed by**
+> **at least one team member before being merged.**
+
+- Request a reviewer on your team.
+- Add a short description of what you did and what to look for in the review.
+- Only merge after approval.
+
+---
+
+## 📓 Documentation
+
+- Keep notebooks and scripts clearly documented with comments and markdown cells.
+- Update related `README.md` files in relevant folders
+ whenever you add or change content.
+- Avoid vague file names like `final2_updated.ipynb`. Use names like `explore_survey_responses.ipynb`.
+
+---
+
+## 🔁 Retrospectives & Communication
+
+- Use the `/collaboration` folder to log retrospectives at the end of each milestone.
+- Document changes in team strategy, feedback, or lessons learned.
+
+---
+
+## 🧠 General Tips for Data Science Projects
+
+To keep your work clean, reproducible, and team-friendly, keep these best
+practices in mind:
+
+- **Reproducibility is critical**: Others should be able to run your code
+ without having to guess file paths, dependencies, or assumptions.
+- **Clean as you go**: Document and structure your data cleaning steps clearly.
+ Don't overwrite raw data — save processed versions separately.
+- **Keep it modular**: Break your work into logical steps or scripts
+ (e.g., preparation, exploration, modeling, visualization).
+- **Use markdown and comments generously**: Explain what you’re doing
+ and why — not just how.
+- **Version control your data** (if feasible): Track changes to processed
+ data files using DVC or manual versioning.
+- **Test your pipeline**: Before committing code, make sure it runs from
+ start to finish on a clean setup.
+- **Avoid duplication**: Reuse functions or code snippets via helper scripts
+ rather than copying and pasting cells.
+- **Respect notebook hygiene**: Restart and run all cells before committing.
+ Avoid leaving out-of-order execution numbers.
+- **Cross-reference files**: If your script relies on output from another,
+ state that clearly with file paths and purpose.
+- **Ask for help early**: Data science is collaborative — if you're stuck or
+ unsure, open an issue or post in the team chat.
+
+---
+
+Thank you for helping us build a clear, reproducible,
+and collaborative data science project!
diff --git a/README.md b/README.md
index e69de29bb..190f877ec 100644
--- a/README.md
+++ b/README.md
@@ -0,0 +1,586 @@
+
+
+
+
+
+[](https://git.io/typing-svg)
+
+**Welcome aboard the CDSP Group 08 Repository!** 🌌
+_Displaced. Determined. Data-Driven._
+
+## M0: Project Overview
+
+We are a team united by _purpose and shaped by displacement_, using data science
+ to **drive real-world impact.**
+This project applies data exploration, modeling,
+ and visualization to explore how renewable energy, specifically **Solar Energy** (i.e. PV cells),
+ serves as critical survival infrastructure in conflict-affected communities
+ worldwide.
+
+## [M1: Domain Research & Background](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/0_domain_study/README.md)
+
+> [Solar Energy acts as a vital **survival infrastructure** in conflict zones.](https://www.pv-tech.org/how-solar-can-bring-light-to-war-zones/)
+
+Citizens in conflict-affected countries require stable electricity sources,
+yet ongoing clashes and targeted attacks on power infrastructure have
+severely disrupted their access to reliable power.
+This project examines how solar photovoltaic systems function [not as
+environmental solutions](https://www.csis.org/analysis/gazas-solar-power-wartime), but as **critical survival technology** that
+enables families to maintain essential services when all
+other energy sources fail.
+
+#### The Humanitarian Energy Crisis
+
+Armed conflicts create immediate survival challenges that go
+far beyond traditional security concerns. As of 2024, over [130 million people](https://www.unhcr.org/global-trends)
+worldwide have been forcibly displaced by war, persecution, and disaster,
+including 37.6 million refugees and 68.3 million internally displaced persons.
+While humanitarian responses typically prioritize food, shelter, and medical
+care, these essential services all depend on
+one critical resource: **reliable energy access**.
+
+The energy reality for conflict-affected communities is stark.
+Nearly [90%](https://unepccc.org/project/sustainable-energy-use-in-refugee-camps/) of refugee settlements lack reliable electricity access,
+forcing families to rely on dangerous and inadequate alternatives.
+Over [80%](https://energypedia.info/wiki/Energy_Access_in_Displacement_Settings) of displaced populations still depend on firewood or biomass
+for cooking, exposing women and girls to safety risks while contributing
+to indoor air pollution that kills millions annually.
+This energy poverty doesn't just [limit comfort](https://www.unhcr.org/in/sites/en-in/files/legacy-pdf/4a1d2f422.pdf), it directly threatens
+survival by compromising medical services, water access, communication
+systems, and basic safety through adequate lighting.
+
+#### Solar PV as Critical Survival Technology
+
+In this context, solar photovoltaic systems have emerged not as environmental
+solutions, **but as survival infrastructure**. Unlike centralized power grids
+that become primary targets during conflicts, distributed solar systems
+offer resilient, locally-controlled energy that can function
+independently of broader infrastructure networks.
+
+The deployment patterns reveal this survival imperative clearly.
+Gaza provides the most compelling example: despite ongoing
+conflict, the territory maintains an estimated [12,400 rooftop
+solar installations](https://www.csis.org/analysis/gazas-solar-power-wartime). This is likely the highest concentration
+globally relative to population size. These systems were
+not installed for environmental reasons but out of necessity,
+as Gaza residents received grid power for only 6-8 hours
+daily even before the current crisis. Solar now accounts
+for more than 50% of the territory's electricity production,
+powering essential services from medical clinics to water pumping systems.
+
+Similarly, in Afghanistan, solar deployment increased during
+conflict periods specifically because it was "the only
+approach based on [economics and reducing risks](https://ases.org/wp-content/uploads/2021/11/Hybrid-Solar-Power-in-Afghanistan-War-Zone-%E2%80%93-Unique-Engineering-and-Economic-Factors-.pdf) to personnel
+in a war zone". Mobile clinics, field hospitals, and
+communication systems rely on solar power when traditional
+energy infrastructure fails or becomes too dangerous to maintain.
+
+### Research Gap & Critical Knowledge Needs
+
+Despite growing recognition of solar energy's role
+in conflict zones, significant knowledge gaps
+remain about how armed conflicts specifically
+affect three critical dimensions of solar deployment:
+
+1. Deployment Patterns
How do conflict dynamics influence where,
+ when, and why households and communities install solar PV systems?
+ Do installations increase during active conflict due to grid
+ failures, or decrease due to economic constraints and physical dangers?
+
+2. Capacity Utilization
How effectively do solar systems operate
+ under conflict conditions? Evidence from Gaza shows that 64.8%
+ of solar panels have been damaged by ongoing hostilities, yet families
+ continue using compromised systems because they provide essential survival
+ power.
+
+3. Household Consumption
How do energy consumption patterns
+ change when families transition from grid dependence
+ to solar-powered systems during conflicts? What services do
+ households prioritize when energy becomes scarce and self-generated?
+---
+
+## [Research Question & Objectives](0_domain_study/progress.md)
+
+### Research Question
+
+> **How have armed conflicts over the past 25 years influenced the deployment,
+> capacity utilization, and household consumption of solar photovoltaic
+> systems—both environmentally and socially—in conflict-affected communities?**
+
+#### Research Focus & Significance
+
+By examining the relationships between conflict intensity,
+solar system adoption rates, capacity factors, and
+household energy consumption patterns, we can better
+understand how families adapt their energy strategies
+for survival. The findings will inform humanitarian energy planning,
+post-conflict reconstruction efforts, and resilient
+infrastructure design for communities facing ongoing
+security challenges.
+
+Why This Matters?
+
+- Solar energy offers fast, decentralized, and life-saving power in conflict-affected areas,
+ where [675 million](https://www.worldbank.org/en/topic/energy/overview) people still lack electricity. This technology empowers vulnerable
+ communities by delivering resilience, dignity, and sustainable
+ energy infrastructure during [humanitarian crises.](https://solgenpower.com/2023/10/10/the-benefits-of-solar-energy-for-humanitarian-aid/)
+
+- Solving this problem could provide life-saving infrastructure
+ in unstable regions, promote energy equity, and support
+ long-term [sustainable development goals.](https://www.hhs.se/sv/om-oss/news/news-from-misum/2016/sdgs-in-conflict/)
+
+- The humanitarian community and affected populations
+ increasingly recognize the need for resilient [sustainable
+ and decentralized energy solutions in conflicted areas](https://www.cyis.org/post/renewable-energy-in-conflict-zones-protecting-war-torn-environments)
+
+Why Solar Energy?
+
+* **Fast Power:** Quick to set up where grids are down.
+* **Resilient:** Decentralized, harder to disrupt than central power.
+* **Low Upkeep:** No moving parts, minimal repairs needed.
+* **Cost-Saving:** Cheaper than fuel-dependent generators.
+* **Life-Saving:** Powers clinics, water, and communications.
+* **Safer:** Provides light, boosting security.
+* **Clean:** No pollution, better for health and environment.
+
+
+### Project Scope
+
+- **Time Period**: 25 years (2000-2024)
+- **Renewable Energy Focus:** Solar Photovoltaic Systems
+- **Geographic Regions:** Syria, Iraq, Sudan, South Sudan, Palestine, Mali, Ethiopia, Ukraine, Yemen, Libya, Afghanistan, Nigeria, Central African Republic, Somalia,Pakistan, Mozambique and Myanmar (17 countries)
+- **Analysis Dimensions:** Deployment patterns, capacity utilization, household consumption.
+
+### Methodology & System Approach
+
+To ground our data‑driven work in real‑world context, we've prepared a detailed [systems analysis](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/0_domain_study/understanding_of_problem_domain.md) of the electrical power challenges in conflict‑affected areas:
+
+* **Patterns & trends** in how and where outages occur.
+* **Underlying structures** that make the grid vulnerable.
+* **Mental models** shaping decision‑making on both sides.
+* **Potential interventions** from distributed solar micro-grids to local maintenance commit
+
+
+> For more details refer to [0_domain_study](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/0_domain_study) keeping more background studies, problem domain understanding and our process about how we reached our research question.
+>
+
+---
+## [M2: Data Collection](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/1_datasets)
+
+### [Domain Modeling](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/non_tech_exp_of_domain_modeling.md)
+Imagine trying to understand how people survive in war-torn areas when the lights go out — literally. That’s where our project begins.
+
+At the center of it all is **solar energy** — not just as a clean tech solution, but as a **lifeline** when everything else fails. When power lines are bombed, families are displaced, and normal life disappears, solar can step in as **survival infrastructure** — helping people charge phones, power lights, and keep hospitals or schools running. We're looking at things like:
+
+
+
+
+
+
+
+
+Our domain model focuses on three main areas:
+
+
+
+
+
+
"Survival Infrastructure": We're looking at solar PV as a fundamental tool for human survival - not just another green tech solution.
+
Conflict Lifecycle: We break down solar's role across the pre-conflict, active conflict, and post-conflict phases – because its utility changes drastically through each.
+
Three Pillars of Impact: To get measurable, we're zeroing in on Deployment Patterns, Capacity Utilization, and Household Consumption. These are our core measurable areas, directly feeding into our main research question.
+
+
+
+
+
+
+
+
+
+
+### [Data Sets](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/README.md)
+
+A detailed description of each dataset, including collection methods, potential limitations, and direct relevance to our problem, can be found in the Datasets Used section.
+1. **IRENA Renewable Energy Statistics:** Provides annual data on renewable energy capacity and generation, including both on-grid and off-grid solar PV deployment across countries and regions.
+
+ - **[Raw: Off-grid Renewable Energy Statistics 2024](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_OFGStats.raw.xlsx)** to _[Cleaned: Off-grid](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/2_data_preparation/IRENA_OFG_cleaned.ipynb)_
+ - **[Raw: On-grid Renewable Energy Statistics 2024](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/IRENA_Stats_extract_2025_H1_raw.xlsx)** to _[Cleaned: On-grid](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/2_data_preparation/IRENA_ONG_cleaned.ipynb)_
+
+2. **UN Comtrade:** Offers detailed trade data on solar-related products (e.g., panels, inverters), crucial for understanding import trends in conflict zones.
+ - **[Raw: UN Comtrade data](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/1_datasets/raw_data/UN_Comtrade_imports_dataset_raw.xlsx)** to _[Cleaned: UN Comtrade](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/2_data_preparation/UN_comtrade_data_cleaning.ipynb)_
+
+
+Data Preparation
+
+- **Timeframe filtered:**
+ All datasets were limited to **2000–2024**.
+
+- **Conflict Status labels added:**
+ Countries were tagged by their **conflict phase** (pre-, active-, post-conflict).
+
+- **Cleaning steps included:**
+ - Removing irrelevant or non-solar data for some datasets
+ - Handling missing values (e.g., zero or no data was covered)
+ - Renaming columns for consistency
+
+
+
+
+
+Data Exploration
+
+Understanding trends in solar capacity deployment, trade patterns, and energy access in conflict-affected countries.
+ The analysis revealed unexpected insights, such as rapid solar adoption in war zones and significant disparities between conflict and comparison countries. We visualized capacity growth, explored outliers, and identified key data limitations. While the datasets are valuable, a more complete picture requires integrating conflict timelines and socioeconomic indicators.
+
+
+
+* **Overall Insights**
+
+ * Conflict disrupts but does not prevent solar adoption.
+ * Solar development can surge during brief periods of stability.
+ * Additional data on conflict intensity and socioeconomic factors is needed for deeper analysis.
+
+
+> For more details refer to [/2_data_preparation](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/2_data_preparation) keeping all our cleaning, transformation, and prep scripts and [/3_data_exploration](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/3_data_exploration) exploring, visualizing, and get a feel for our datasets.
+
+---
+
+## [M3: Data Analysis](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/4_data_analysis)
+
+Investigating how solar energy deployment changes across different **phases of conflict, economic statuses, duration, technology types and both environmental and social impact** in different conflict-affected countries ( 2000–2024 ); using IRENA and UN Comtrade datasets, analyzing on-grid/off-grid capacity, import trends, and conflict timelines.
+
+#### Key Insights
+
+Conflict periods are often associated with increased solar energy adoption..
+- Conflict does not automatically suppress development; but as **windows of opportunity** existing even in fragile settings.
+- **Recovery capacity** varies widely; some countries rebound with aid or reform, others remain paralyzed.
+- Strategic, resilient infrastructure development is possible, but often hinges on **timing, governance, and stability**.
+- Three-way link between **conflict duration, economic status, and solar adoption**—where _conflict increases the need, GDP shapes capacity, and policy ensures sustainability_
+
+
+## Analytical Questions
+
+> [**Q1. What are the trends in solar energy adoption across the conflict cycle—pre-conflict, active conflict, and post-conflict periods—in 9 conflict-affected countries?**](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/4_data_analysis/phases_analysis)
+>
+Overall Pattern
+
+| Pattern Type | Description | Countries |
+| -------------------------- | -------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
+| **Consistent Growth** | Countries that sustained or increased solar investment during both active and post-conflict phases | **Iraq**, **Afghanistan**, **South Sudan** |
+| **Conflict-Driven Surge** | Countries where solar adoption peaked **during** conflict but dropped or stopped **after** | **Ukraine**, **Yemen**, **Sudan**, **Syria** |
+| **Post-Conflict Recovery** | Countries with **low or moderate** solar growth during conflict, but **modest recovery afterward** | **Ethiopia**, **Libya** |
+| **Stalled Development** | Countries with **low or no adoption** in both periods, often due to prolonged instability | **None fully fit this**, but **Libya** and **South Sudan** were on the borderline early on |
+
+
+
+
+
+
+
+>[**Q2. To what extent are these datasets comparable, and what differences, if any, exist in what they measure?**](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/4_data_analysis/data_comparison_analysis)
+ Overall Pattern
+
+**On Sudan:**
+**_Grid power came first:_** By 2018, on-grid non-solar power reached full capacity, mainly from hydropower and thermal sources like the Merowe and Roseires Dams.
+**_Solar followed slowly:_** Off-grid solar expanded gradually, reaching capacity by 2021 amid post-2019 instability and weak rural infrastructure.
+
+In Sudan (2010–2023), off-grid solar deployment rises steadily, unlike on-grid deployment, which increases sporadically—likely tied to major government projects. Off-grid growth stagnates in 2022–2023, possibly due to missing data. The dataset likely fails to capture actual declines, especially for on-grid deployment, limiting the accuracy of year-to-year comparisons in the later period.
+
+**On Ukraine:**
+**Moderate correlation** (r = 0.343); Imports typically occur in short bursts, followed by gradual deployment increases, especially between 2014–2019. Post-2019 declines in imports and 2024 deployment drops likely reflect conflict impacts.
+
+
+
+
+
+
+
+
+
+
+
+
+> [**Q3. What is the effect of conflict duration (continuous vs. periodical or no conflict) on the adoption of solar energy technologies?**](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/4_data_analysis/duration_analysis)
+>
+ Overall Pattern
+
+- **Conflict-period imports** often exceed pre- and post-conflict levels.
+ _→ During active conflict, demand for decentralized and backup power sources spikes, especially in humanitarian or survival contexts._
+
+- **PV Modules** dominate overall imports.
+ _→ PV panels are the core component of solar systems, making them the foundation of any solar energy deployment strategy._
+
+- **Solar Lamps** and **Lithium Batteries** have a **larger share during conflicts**, indicating a need for portable power.
+ _→ In emergencies, small-scale, off-grid solutions are critical for lighting, communication, and basic household use — especially when grid access is unreliable._
+
+- **Inverters** and **Lead-Acid Batteries** maintain **smaller, steady shares**.
+ _→ These components support more permanent solar setups, which are harder to install or maintain during unstable conditions._
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+> [**Q4. What are the environmental and social impact in conflict-affected countries?**](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/4_data_analysis/social_environment_analysis)
+>
+ Overall Pattern
+
+- **Slower Growth in Conflict Areas:** While solar power still grew in conflict zones, it was at a much slower pace. This suggests that wars make it harder to build big solar projects.
+- **Slower Access to renewable energy:** this has tremendous consequences, in conflict zones, the relying in fossil fuels increase which will eventually lead to more CO2 emissions.
+- **Less Pollution Avoided in Conflict Zones:** while solar power in conflict areas may help in reducing pollution, the amount will be much, much smaller compared to peaceful regions. This is simply because there will be less solar power installed in war-torn places, also the excessive use of fuel in cars, planes and other military vehicles is extremely high during conflicts and its usage is uncontrolled. So, conflicts don't just hurt people; they also slow down our planet's healing process by limiting clean energy.
+- The conflict doesn't just **stop** the lights from coming on; it **holds back health**, education, and economic growth.
+
+
+
+
+### Confidence Level
+
+We are **moderately confident** in the trends observed. Core patterns appear consistent across countries, but some data gaps and contextual complexities limit certainty.
+
+### Limitations
+
+- Data gaps in post-conflict years and low-income countries.
+- Imports ≠ direct deployment; stockpiling or re-exports possibles.(black markets or secondhand use)
+- No modeling of lag effects between import and deployment.
+- Conflict phase definitions are simplified proxies.
+Many Other Factors: The amount of solar power a country installs or how many people get connected depends on many things, not just conflict. Things like a country's wealth, its government's policies, help from other countries, and even its geography all play a huge role.
+
Statistical analysis showed that there is no significant difference in mean solar PV capacity nor the number of people connected between conflict and non-conflict regions.
+
+Results and Interpretation
+
+- **Raw Result: "Solar capacity grows during conflict."**
+Interpretation: _Solar becomes a survival tool, not just an environmental solution, as communities adapt to grid failures with decentralized energy._
+- **Raw Result: "Off-grid systems surge in fragile settings."**
+Interpretation: _Signals the need for localized, self-sufficient power when central infrastructure collapses—often supported by humanitarian aid._
+- **Raw Result: "Solar Lamps and Lithium Batteries have a larger share during conflicts."**
+Interpretation: _Reflects urgent demand for portable energy for lighting, phone charging, and safety—vital for displaced populations._
+
+
+Future work
+
+- Use maps or data showing how intense conflict is in different areas.
+- Study if there's a delay between importing equipment and solar growth.
+- Compare solar projects funded by aid vs. those driven by local markets.
+- Check the results against real project data or insights from local experts.
+
+
+
+
+>For more details, assumptions and limitations refer to [/4_data_analysis](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/4_data_analysis) including all scripts, visualizations, technical methodology, and a non-technical summary of our findings, confidence levels, and limitations.
+
+---
+
+## [M4: Communicating Results](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/5_communication_strategy)
+
+Our strategy is designed to help local community leaders or advocates to become the main driver of solar energy adoption where they live.
+
+### Core Message
+
+The central message is that **"Solar power is not just about lights—it's about our community's future."**
+The goal is to position solar energy as a permanent and sustainable solution that gives communities control over their essential services, particularly in the face of an unreliable power grid.
+
+
+#### Project Narrative
+
+The document's narrative is structured to be both relatable and compelling:
+* **The Problem:** It highlights the challenges of an unreliable power grid and the high cost of diesel generators, which disrupt critical services like healthcare and water supply. It also addresses the misconception that solar is only for private use.
+* **The Discovery:** It presents evidence that small, durable solar systems are a more resilient and effective alternative to the central grid, especially during crises.
+* **The Call to Action:** The document concludes by calling on Popular Committees in Sudan to take the lead in adopting solar energy, positioning them as champions of resilience and self-sufficiency.
+
+
+### Audience & Tools
+
+Our strategy focuses on two key groups:
+
+- **UNHCR (Funders):**
+ Through a [**pitch presentation**](https://solarenergyforcommunityresilienceinsudan.my.canva.site/), we clearly communicate the project’s purpose, funding request, and the role of **Popular Committees in Sudan.**
+
+- **Popular Committees (General Public):**
+Local elected groups in Sudan that provide basic services and link communities with authorities and aid agencies. Though solar is seen as a solution, public services still depend on diesel.
+
+### How We’re Getting the Message Out
+
+- **Funders:**
+ - A [document](https://docs.google.com/document/d/1qtnTPDyECZFVlH4yhWlZRAuwwtspa7mvojq4XWrX1DM/edit?tab=t.0) outlining the fund, requirements, and our draft budget
+ - A [GitHub repository](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo) where our research and progress are documented
+ - A [pitch deck](https://solarenergyforcommunityresilienceinsudan.my.canva.site/) and [proposal](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/5_communication_strategy/proposal.md) aligned with the UNHCR evaluation criteria
+
+- **Public:**
+ - A [blog post](https://medium.com/@ahdbasan/survival-not-just-sustainability-the-role-of-solar-in-conflict-zones-54ef59c76af4) highlighting how solar energy provides resilience and dignity in conflict-driven blackouts
+
+- **Committees:** WhatsApp-ready infographics, short videos, fact sheets, and meeting templates.
+
+> **_By Refugees to Refugees_**
+
+ Why It Matters
+
+Communities across Sudan face unreliable power grids and costly diesel generators. Essential services fail when they are needed most.
+In conflict zones, solar adoption rises — because it works when nothing else does.
+
+Our **Solar Survival Kit** pilot in Khartoum will:
+- Deliver modular solar systems to public institutions.
+- Be led and maintained by **Popular Committees**.
+- Prove that community-led solar can replace diesel for critical services.
+
+
+ What We’re Asking
+
+From **UNHCR** and other funders:
+- $45,000 in flexible, direct funding for the 12-month pilot.
+- Amplification of results to reach policymakers and donors.
+- Advocacy for refugee-led, sustainable energy policies.
+
+From **local committees**:
+- Lead planning, deployment, and upkeep of solar systems.
+- Use our communication toolkit to build public support.
+
+From the **public**:
+- Shift the perception of solar from luxury to necessity.
+- Participate in community funding and maintenance.
+
+
+
+
+> For more details refer to our [Communication Strategy](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/5_communication_strategy), including our detailed process (`process.md`), public-facing summary (`readme.md`), persuasive pitch (`pitch.md`), and full proposal (`proposal.md`).
+
+
+---
+## [M5: Final Presentation](https://docs.google.com/presentation/d/1ylyQKWaLEG2DBNjNC2kAqbokFimr2Ajq/edit)
+> For more details refer to our [final presentation](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/6_final_presentation), including our script and final presentation slides readme.
+
+---
+
+## Key Findings
+
+- **Solar grows during conflicts:** Off-grid systems surge when central grids fail.
+- **Portable solutions matter:** Solar lamps and lithium batteries are in higher demand during crises.
+- **Community survival focus:** Solar is used primarily for essential services — clinics, water pumps, communication.
+- **Policy & wealth impact adoption:** Conflict intensity, household income, and government policy shape patterns of adoption.
+- **Data gaps exist:** Black market, second-hand use, and missing datasets can affect exact numbers.
+
+---
+
+
+## Repository structure
+
+```text
+project/
+├── README.md # Project overview and main instructions
+├── guide.md # Detailed guide on using this template
+├── /collaboration/ # Team norms, strategies, and retrospectives
+├── /notes/ # Shared resources and learning materials
+├── /0_domain_study/ # Domain research and background
+├── /1_datasets/ # Raw and processed datasets
+├── /2_data_preparation/ # Scripts for cleaning and processing data
+├── /3_data_exploration/ # Scripts for initial data understanding
+├── /4_data_analysis/ # Scripts for in-depth analysis
+├── /5_communication_strategy/ # Materials for communicating findings
+└── /6_final_presentation/ # Final presentation materials
+```
+
+## Project Workflow
+
+**Steps:**
+1. **Domain Research:** Understand energy challenges in conflict zones.
+2. **Data Collection:** Gather datasets from IRENA, UN Comtrade, etc.
+3. **Data Cleaning & Preparation:** Filter, label, and standardize datasets.
+4. **Analysis & Exploration:** Visualize deployment patterns and adoption trends.
+5. **Results & Communication:** Summarize findings and create actionable insights.
+
+---
+
+## Team Members
+
+_Who's behind all this? Meet the passionate minds Github driving this project:_
+
+
+
+---
+
+## [Tech Stack]()
+
+- **Programming Language:** Python 3.11+
+- **Data Handling:** Pandas, NumPy
+- **Visualization:** Matplotlib, Seaborn (optional), Plotly
+- **Collaboration:** Git, GitHub
+- **Documentation & Writing:** Markdown, Jupyter Notebook
+- **Project Management:** Trello / GitHub Projects
+- **Deployment & Sharing:** Medium (for blog post)
+
+## [Contributing](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/CONTRIBUTING.md)
+
+ To set up the project locally and understand our contribution guidelines, please see our [CONTRIBUTING.md](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/CONTRIBUTING.md) file.
+
+## [License](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/LICENSE)
+
+This project is licensed under the MIT License -
+see the [LICENSE](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/LICENSE) file for details.
+
+
+
+
diff --git a/collaboration/README.md b/collaboration/README.md
index 20889b951..824e0a8bd 100644
--- a/collaboration/README.md
+++ b/collaboration/README.md
@@ -1,5 +1,35 @@
# Collaboration
-
+Our group values open communication, empathy, and proactive support.
+These norms help us collaborate effectively across time zones and cultures.
+## Social Norms
+
+These norms outline how we aim to interact respectfully and effectively as a team:
+
+### 🧠 Building Trust
+
+- Be honest about your limits — trust grows when expectations match reality.
+- Communicate challenges early so teammates can support you.
+- Show empathy and consideration in different circumstances.
+
+### 💬 Communication and Collaboration
+
+- Use Slack as the primary tool for communication (must be checked regularly).
+- Google Meet every Thursday.
+- Everyone will proactively reach out when stuck or overwhelmed.
+- Tasks are delegated after each meeting and documented.
+
+### 🧭 Respect and Inclusion
+
+- Respect others’ time — notify the team if you can't attend meetings.
+- Listen actively, and don't interrupt others during meetings.
+- Celebrate small wins to keep up morale.
+- Silence can be misread — speak up when you need support.
+
+### 🛠️ Conflict Resolution
+
+- If trust is damaged: talk directly and kindly, resolve issues early.
+
+> These norms are intention-based and may evolve during the project.
diff --git a/collaboration/communication.md b/collaboration/communication.md
index f9e2d0181..8717ba225 100644
--- a/collaboration/communication.md
+++ b/collaboration/communication.md
@@ -9,45 +9,67 @@
# Communication
+ Our group values open communication, empathy, and proactive support.
+ These norms help us collaborate effectively across time zones and cultures.
+
---
+**In this document, you’ll find:**
+
+- A schedule for regular check-ins and meeting agendas
+- Guidelines for using GitHub Issues, Pull Requests, Slack, and Google Meet
+- Availability tracking for each team member
+- A shared approach to asking for help and resolving conflicts
+
## Communication Schedule
-| Day | How | The topic of discussion |
-| :----: | :-: | ----------------------: |
-| | | |
+| **Day** | **How** | **Topic of Discussion** | **Link**|
+|-----------|--------------|------------------------------------------|----------------------------------------------|
+| 31/05/25 | Google Meet | Introduction and Communication file| [Meeting Minutes 01](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/notes/01meeting_minutes.md) |
## Communication Channels
How often we will get in touch on each channel, and what we will discuss there:
-- **Issues**:
-- **Pull Requests**:
-- **Slack/Discord**:
-- **Video Calls**:
+- **Issues**: Use GitHub Issues to set up meeting agendas, ask for help, fix
+ bugs, and organize work.
+- **Pull Requests**: Use Pull Requests to discuss and review the changes that
+ are to be made (code review).
+- **Slack/Discord**: Slack will be the main communication channel for
+ this project (day-to-day coordination, quick questions, announcements).
+- **Video Calls**: Google Meet will be used for synchronous meetings
+ according to the agreed schedule.
## Availability
-### Availability for calling/messaging
-
-| Day | Mon | Tue | Wed | Thu | Fri | Sat | Sun |
-|--------|:---:|:---:|:---:|:---:|:---:|:---:|:---:|
-| _name_ | | | | | | | |
-
-### How many hours everyone has per day
-
-- name: _5h_
-- name: _6h_
-- name: _5h_
-- name: _4h_
-- name: _3h_
-
+### Availability for calling/messaging/meetings
+
+**Preferred days:**
+ **All agreed from Sunday to Wednesday**
+ _To accommodate all members._
+ Depending on power and connectivity
+
+### Hours Availability
+
+| **Preferred hours availability** | **Time** | **Response time average**|
+|----------------------------------|----------|------------------|
+| **AHD** | After 11pm Est | 4 - 8 hrs |
+| **MARIIA** | After 9pm Est | 2 - 4 hrs |
+| **MOHAMED SAEED** | After 12pm Est | 2 - 4 hrs |
+| **ABDALLAH** | TBD | TBD |
+| **MOHAMED ALTAYEB** | 11/12pm est | 2 - 4 hrs |
+| **ANYAK** | Before 12pm est | 2 - 4 hrs|
+
+**Next Meetings:**
+ _Scheduled during the prior meeting._
+ Every Thursday
+ _If unscheduled: Coordinated via
+ Slack for all team members._
+
## Asking for Help
-There's a fine line between confidently learning from your mistakes and
-stubbornly getting nowhere. Here is a general guide for when to ask for help
-based on how long you’ve been stuck on the same problem:
+Document your challenge _tag_ to ensure clarity when seeking help.
-1. _0 → 30 min_: Try on your own
-2. _30 → 60 min_: Ask your group for help
-3. _60+ min_: Tag your coaches in Slack, WhatsApp or GitHub
+1. _0 → 30 min_: Try on your own
+2. _30 → 60 min_: Ask the team for help
+3. _60+ min_: Time to signal the experts on Slack or GitHub
diff --git a/collaboration/constraints.md b/collaboration/constraints.md
index 24079505c..8ac438936 100644
--- a/collaboration/constraints.md
+++ b/collaboration/constraints.md
@@ -1,34 +1,99 @@
-# Constraints
-
-Some boundaries around our project.
-
-## External
-
-
-
-## Internal: Involuntary
-
-
-
-## Internal: Voluntary
-
-
+# 🛑 Constraints
+
+Some boundaries around our project.
+Constraints based on this [survey](https://docs.google.com/spreadsheets/d/1qs0E7fHq7Al8MtG_Ii3xitOWv5px5SXr2fp_d3T5rXA/edit?gid=0#gid=0)
+
+## 🟢 Voluntary Constraints
+
+### 📅 Deliverable Deadlines
+
+*Our team agreed to include a **two-day buffer** before each
+main deadline —
+ Giving us time to polish, reflect, and help
+ one another if needed.*
+
++ Milestone 0, Cross-Cultural Collaboration: **June 02**
++ Milestone 1, Problem Identification: **June 16** - June 14
++ Milestone 2, Data Collection: **June 30** - June 28
++ Milestone 3, Data Analysis: **July 21** - July 19
++ Milestone 4, Communicating Results: **August 11** - August 08
++ Milestone 5, Final Presentation: **August 25** - August 23
+
+### 🕒 Participation and Availability
+
+> **1.5+ hours of workshop (1-2 per week).**
+> **1.5 hours of team meetings.**
+> **5+ hours of asynchronous work.**
+>
++ **Response Time**
+On average, we’ll aim to reply within **six hours**,
+
++ **Availability Issues**
+ + Technical issues: Power Outrages, Internet connectivity and Device malfunctions
+ + Responsibilities: Personal Matters, Work and Uni
+
+✨ If you're facing any issues —
+**please let the team know.**
+We’re here to support each other without
+ pressure- we're stronger together. 💪
+
+### 💻 Github Constraints
+
++ **Branches**:
+ + Branch Naming:
+ > snake_case and lowercase
+ keep it short, simple and understandable
+
+ + *After every milestone : we'll clean up branches to avoid conflicts*
+
++ **Project Board**
+ + Only issues will be on project board
+ + Pull request will be archived to avoid cluttering
+ + Pull request will just be linked to the Issue in the ⚙️ Development
+ + Also add label tag.
+ + Link the branch too if available
+
++ **Reviewing code:**
+ + On the Issue : Assign yourself for review in ⚙️ Assignees
+ + On the pull request: Assign yourself for review in ⚙️ Reviewers
+
++ Use pull requests and GitHub issues to track work.
+ Pull request will be merged with at least one approve.
++ Code Review Checklist
+ All should be checked and formatted beforehand in VSC
+
++ All Codes merged regularly and commented on.
+ **Reviewed by at least 2 members of the team**
+
+## 🚫 Involuntary Constraints
+
+### 🔰 Programming Experience
+
+#### Skill Level
+
+The majority of our team members have beginner to
+ intermediate programming experience.
+ To ensure steady progress and
+ a positive learning environment:
+
++ **Problem Scope**:
+The project will be moderately challenging — just enough
+to stretch us without overwhelming anyone.
+
++ **Learning Support**:
+Share resources and encourage peer-to-peer support.
+
++ **Task Assignment**:
+Tasks will be assigned based on individual skill levels,
+ with opportunities for growth and collaboration.
+
+### 🤝 Collaboration Experience
+
+With backgrounds in Electrical energy, Energy Engineering and Architecture.
+Our preferred topic is:
+**Renewable Energy and Sustainability**
+
+As a team; Learning to work with Jupyter Notebook and
+ libraries like Matplotlib and Pandas.
diff --git a/collaboration/learning_goals.md b/collaboration/learning_goals.md
index 11c583d2b..90eebc3f1 100644
--- a/collaboration/learning_goals.md
+++ b/collaboration/learning_goals.md
@@ -1,5 +1,77 @@
# Learning Goals
+These learning objectives serve to establish clear expectations and shared
+understanding among team members participating in collaborative programming exercises.
+
## Collective
+- Master advanced programming concepts like object-oriented principles.
+- Improve debugging and troubleshooting skills.
+- Learn version control best practices including
+branching strategies, merge conflict resolution, and collaborative workflows.
+- Review DSs and algorithms you have already studied.
+- Learn new DSs and algorithms.
+- Practice more complete, readable, and documented solutions.
+- Learn to program faster, to be more a more efficient developer.
+
## Individual
+
+### Abdallah
+
+- Master advanced programming concepts like object-oriented principles.
+- Learn new DSs and algorithms.
+- Develop better pattern recognition for when to use specific data
+structures or algorithms
+- Learn to program faster, to be more a more efficient developer.
+
+### Mohamed Altayeb
+
+- Familiarize my self with Jupyter notebook.
+- Learn how to get the most meaningful data from each situation.
+- Improve my abilities with Python and working with new libraries.
+- Improve my abilities to work in a team.
+
+### Mohamed Saeed
+
+- Deeply understand the meaning of data analysis.
+- Get the gist of data collection and data processing.
+- Improve in python programming with the aim to master advanced algorithms and techniques.
+- Be a part of a project that solves a real problem.
+
+### Ahd
+
+- Apply foundational DS skills from data wrangling, visualization and basic modeling.
+- Learn a systematic and goal-oriented approach in question formulation.
+- Implement Algorithms learned in 6.002x to solve problems.
+- Practice more complete, readable, and documented solutions.
+
+### Mariia Ermishina
+
+- Strengthen my programming foundation and gain more confidence in real
+ projects.
+- Learn to use Git and GitHub more effectively for collaboration and version
+ control.
+- Improve my problem-solving skills using Python, especially in data analysis.
+- Get more comfortable with Jupyter Notebook and data visualization tools.
+- Become a confident and contributing member of the team.
+
+### Anyak Abraham
+
+- Develop more experience in collaborative projects(teamwork)
+- Gain more experience in data analysis and interpretation
+- Improve on my python skills especially in data science
+- Learn how to solve problems effective using programs
+
+### Maria Cedeño
+
+- Enhance ability to clearly communicate complex data insights
+- Seek and incorporate constructive feedback
+- Improve problem-solving skills
+- Gain practical experience on a real data science project
+
+### Zeinab Mohmmed
+
+- Strengthen my technical skills, especially in GitHub, Python, and Data Science.
+- Improve my time management and become more organized.
+- Learn from others through sharing and exchanging knowledge.
+- Apply what I’ve learned in real projects and keep learning from my mistakes.
diff --git a/collaboration/retrospectives/0_cross_cultural_collaboration.md b/collaboration/retrospectives/0_cross_cultural_collaboration.md
index e69de29bb..64fc75edb 100644
--- a/collaboration/retrospectives/0_cross_cultural_collaboration.md
+++ b/collaboration/retrospectives/0_cross_cultural_collaboration.md
@@ -0,0 +1,114 @@
+# Retrospective
+
+- **Stop Doing**
+ - Leaving tasks or decisions ambiguous — unclear ownership
+ slows progress.
+ - Assuming updates will be communicated without check-ins —
+ this led to misalignment.
+ - Over-relying on asynchronous communication when synchronous
+ discussions could resolve things faster.
+
+- **Continue Doing**
+ - Effective meetings with strong participation and outcomes.
+ - Group collaboration; if anything needs adjustment, go for it.
+
+- **Start Doing**
+ - More availability to fasten the process in independent tasks.
+ - Clear meeting agendas and possibly holding two meetings per
+ week to stay aligned.
+ - Following up with the progress of each member and reaching out
+ as a group. >> regular check-ins.
+
+- **Lesson Learned**
+ - The Project Board should reflect the structure and clarity of
+ our work. To keep it organized and useful:
+ - Link each issue to its corresponding milestone from the start.
+ - Use clear naming of issues according to the milestone.
+ - Connect issues properly to branches, pull requests, assignees,
+ labels, and reviewers.
+ - At the end of each milestone:
+ - Remove or revise outdated ones.
+ - Keep the board clean, readable, and uncluttered.
+
+## Srategy vs Board
+
+### Ahd
+
+- **What Went Well**
+ - Our first meeting introductions went smoothly. We all seem to have
+ the same interest, and that's amazing!
+ - Branch naming and GitHub usage was a blast for all members.
+
+- **What Didn’t Go as Planned**
+ - Time management needs refinement.
+ Our two-day buffer for the first milestone didn’t work out
+ this time — but that’s okay.
+ - More meetings for the next milestone.
+
+- **Did you need to add things that weren't in your strategy?**
+**Or remove extra steps?**
+ - Removed redundant or unclear branches during cleanup to
+ make the board more efficient.
+ - Added the milestone tag on the issue naming also to make the project
+ board clear in terms of milestones.
+
+### Mohamed Saeed
+
+- **What Went Well**
+ - Team meetings and deadlines were set appropriately, even though
+ I wasn't able to participate fully.
+ - Team division of tasks and responsibilites was clear, which helped
+ the project move forward.
+
+- **What Didn’t Go as Planned**
+ - Communication breakdowns on my end meant I missed important updates,
+ decisions, and opportunities to provide input when the team needed it.
+ - I failed to proactively communicate early enough for the team to adjust
+ expectations or redistribute tasks effectively.
+
+- **Did you need to add things that weren't in your strategy?**
+**Or remove extra steps?**
+ - Better personal time management and prioritization strategies to
+ balance competing commitments.
+
+### Mohamed Altayeb
+
+- **What Went Well**
+ - At least two team members were able to attend all the workshops, so our group
+ was not in the dark when it comes to what was discussed in each workshop.
+
+- **What Didn’t Go as Planned**
+ - Some personal circumstances forced me to miss the meetings for this milestone.
+ - I wasn't able to properly contribute
+ to the progress of the project
+ and I didn't spend enough time to know what exactly was required from us
+ during this milestone.
+ - Due to different circumstances and some problems in
+ communication some deliverables were submitted after the deadline.
+
+- **Lessons learned**
+ - Go over the deliverables for each milestone well before the deadline
+ to get a grasp of what exactly is to be accomplished and to properly
+ schedule for it.
+ - Ask other teammates for help when any ambiguities arise about any of the deliverables.
+
+### Mariia Ermishina
+
+- **What Went Well**
+ - We had consistent participation in all workshops and meetings,
+ which helped us stay aligned as a group.
+ - Our early discussions were productive and helped us agree
+ on renewable energy as our central focus.
+ - We communicated effectively through GitHub and shared documents,
+ allowing smooth collaboration.
+
+- **What Didn’t Go as Planned**
+ - Not much went off-track during this phase — we managed to keep up
+ with all expected tasks and check-ins.
+ - Some moments of uncertainty could have been avoided with clearer
+ task ownership.
+
+- **Did you need to add things that weren't in your strategy?**
+ **Or remove extra steps?**
+ - We refined some of our internal notes and file naming for better clarity.
+ - No major changes were needed to the original plan.
diff --git a/collaboration/retrospectives/1_problem_identification.md b/collaboration/retrospectives/1_problem_identification.md
index e69de29bb..588632f3e 100644
--- a/collaboration/retrospectives/1_problem_identification.md
+++ b/collaboration/retrospectives/1_problem_identification.md
@@ -0,0 +1,130 @@
+# Retrospective
+
+## Stop Doing
+
+* Assuming availability without confirming scheduled.
+* Over thinking small tasks instead of execution
+
+## Continue Doing
+
+* Continue having regular meetings
+* Assigning individual tasks
+* Creating polls on slack
+
+## Start Doing
+
+* Being open and flexible during out processes
+* Using GitHub to track progress and manage contributions
+* Set clearer deadlines for tasks to avoid last minute work and pressure.
+
+## Lessons learned
+
+* Delegating tasks allowed us to beat deadlines
+* Flexibility in planning allowed us to adapt and make improvements
+* Strong communication is essential
+
+## strategy vs Board
+
+### what parts of your plan went as expected
+
+* Scheduling meetings
+* We all had the same interests
+* The domain was easily chosen
+* Beating the deadlines
+* Collaborating effectively on GitHub
+* Maintaining progress even when not all the members are present
+
+### What parts of your plan did not workout?
+
+* Some tasks took longer due to different availability
+* Not all meetings had full attendance
+* Poor network from some members during meetings
+
+### Did you need to add things that weren’t in your strategy
+
+* Using Google docs to accomplish certain tasks.
+* Creating polls on slack to ease decision making
+* Making check-ins for every milestone
+
+### or remove extra steps
+
+* Streamlined meeting structures to save time
+* We had to cut redundant sessions that could be async updates.
+
+## Individual retrospectives
+
+### Anyak Abraham
+
+**What went well?**
+
+* Tasks assigned to me were easily accomplished
+* I was consistent in following up tasks and meeting the deadlines
+
+#### What didn't go as expected
+
+* I became ill which made me slow to accomplish certain tasks
+
+#### Lessons learned (Anyak Abraham)
+
+* It’s okay to rely on the team when stuck
+* Attending every session is important to keep up with the progress
+
+### Mohamed Altayeb
+
+**What went well:**
+
+* Team meetings went very well and were productive and we didn't need to delay
+ any of them.
+* We were able to catch up and finish the deliverables of the last milestone.
+* We made good progress in a relatively short time regarding the problem domain
+ and research question.
+
+**Lessons learned:**
+
+* Delegating tasks makes it easier and more clear to follow on the progress
+ of the project.
+* Open communication and teamwork makes it easier and helps all team members
+ accomplish their goals and tasks.
+
+### Ahd
+
+#### What Went Well (Ahd)
+
+* Discovering having same interest early on helped us a long way
+* Our process went as smoothly as we wanted: from problem domain to questions
+ that we brainstormed and then we went back to choosing a problem statement and
+ an actionable research question; We were flexible with our process.
+
+#### What Didn’t Go as Planned (Ahd)
+
+Meeting with all members; there is always someone missing but that's okay—there are
+meeting minutes.
+
+**Did you need to add things that weren't in your strategy? Or remove extra steps?**
+
+* Added the discussions to document our process
+* The process.md to document our process
+
+### Mariia Ermishina
+
+#### What Went Well (Mariia)
+
+* We were able to clearly distribute responsibilities and understand our individual
+contributions to the project.
+* I appreciated the openness within the team, which helped us move quickly and
+avoid misunderstandings.
+* Our early agreement on goals and structure made later decisions easier.
+
+#### What Didn’t Go as Planned (Mariia Ermishina)
+
+* Some initial tasks took longer than expected because we were still figuring out
+ the best workflow.
+
+### Mohamed Saeed
+
+#### Achievements and Successes
+
+* Team members distributed and carried out the tasks in an efficient and effective
+ way.
+* GitHub features were used and utilized proficiently by all team members
+* What didn't go as planned
diff --git a/collaboration/retrospectives/2_data_collection.md b/collaboration/retrospectives/2_data_collection.md
index e69de29bb..a24e27d13 100644
--- a/collaboration/retrospectives/2_data_collection.md
+++ b/collaboration/retrospectives/2_data_collection.md
@@ -0,0 +1,110 @@
+
+# Retrospective
+
+## Stop Doing
+
+- Digging endlessly for new data instead of working with what we already had.
+ At some point, the search became a distraction.
+
+## Continue Doing
+
+- Keeping the research question front and center. It’s helped us filter what
+ matters and what doesn’t.
+- Holding sync meetings to follow our progress, discuss improvements,
+ and plan next steps.
+- Supporting each other across roles when things shift or someone’s stuck.
+ That flexibility has been key.
+
+## Start Doing
+
+- Set up a shared weekly schedule or calendar to make coordination smoother,
+ especially with the group merge
+
+## Lessons learned
+
+- Having a clear plan is great, but being willing to adapt it as we go is what
+ actually keeps things moving.
+- Good documentation isn’t extra work; it actually saves time when things get
+ confusing or when we need to explain decisions later.
+- Good collaboration is essential to make the work smoother and keep us focused
+ on what matters.
+
+## strategy vs Board
+
+### what parts of your plan went as expected
+
+- Successfully clarified the scope early, which helped reduce distraction later.
+
+### What parts of your plan did not workout?
+
+- Underestimated how messy real-world data would be, needed more time for cleaning
+ and transformation.
+- Coordination with the group members didn’t flow well, maybe we needed a shared
+ calendar or clearer roles.
+
+### Did you need to add things that weren’t in your strategy or remove extra steps
+
+- Originally thought we’d rely only on one dataset, but ended up integrating two
+ more to fill gaps.
+- Added a “What do you get from the data? And be created for? Strategy” section to
+ our data documentation. This helped us stay focused and intentional with each
+ dataset, instead of analyzing blindly.
+
+## Individual retrospectives
+
+## Ahd
+
+### What Went Well
+
+- Found high-quality data on solar adoption and developed strategies that stay
+ aligned with our core research question.
+
+### What Didn’t Go as Planned
+
+- Also, I probably spent too long in data search mode when I should’ve shifted to
+ prep mode sooner.
+
+### Did you need to add things that weren't in your strategy? Or remove extra steps?
+
+- Mohamed Eltayeb lined up detailed agenda items on Issues, so I’m trading
+ lengthy meeting minutes for a smarter checklist approach. less typing, more doing.
+
+## Mohamed Eltayeb
+
+### **What Went Well**
+
+- Meetings were productive although usually not all team members were able to join.
+We were able to get our hands on good data that covered different aspects
+ (On grid, Off grid, and Imports)
+- The merge with group 7 helped us with more team members as the work was beginning
+ to become overwhelming.
+
+### **What Didn’t Go as Planned**
+
+- Some team members were unable to catch up with us due to some personal reasons.
+We still haven't found enough specific data about conflicts and similar events yet.
+
+### **Lessons Learned**
+
+- Making detailed meeting agendas helps with making the most out of the meeting time.
+Not to immerse ourselves in one aspect of the project (e.g. looking for data)
+ and neglect the other aspects of the project.
+
+## Zeinab
+
+### What parts of your plan went as expected?
+
+- The merging process with Group 8 went smoothly. We worked together to catch up
+ on what we had missed, and they were supportive in helping us become more
+ familiar with their domain and research question.
+
+### What parts of your plan did not work out?
+
+- For several reasons, we were not able to continue working on our original
+ research question. However, we hope to return to it and develop it further in
+ the future.
+
+### Did you need to add things not in your strategy?
+
+- we can organize additional practice sessions to support one another and become
+ more familiar with the data analysis and ml
diff --git a/collaboration/retrospectives/3_data_analysis.md b/collaboration/retrospectives/3_data_analysis.md
index e69de29bb..fed31db43 100644
--- a/collaboration/retrospectives/3_data_analysis.md
+++ b/collaboration/retrospectives/3_data_analysis.md
@@ -0,0 +1,139 @@
+
+
+# Retrospective
+
+## Stop Doing
+
+- **Avoid dividing work based on datasets.**
+ This approach caused fragmentation and confusion. Instead, focus on analytical
+ questions to guide the division of tasks.
+
+## Continue Doing
+
+- **Continue improving previous work.**
+ Revisit and refine steps such as data cleaning and exploration to ensure high
+ quality and consistency.
+
+- **Add more data when needed.**
+ Supplement existing datasets if gaps are discovered or deeper insights are required.
+
+- **Split tasks fairly and communicate regularly.**
+ Divide tasks clearly and check in often to identify blockers or support teammates.
+
+## Start Doing
+
+- **Define and assign tasks based on analytical questions.**
+ This makes the work more goal-oriented and easier to interpret.
+
+- **Document assumptions, choices, and issues.**
+ Maintain a shared log to improve transparency and help future reviews or debugging.
+
+- **Implement regular peer reviews.**
+ Set checkpoints to review each other's work and give constructive feedback
+ before finalizing.
+
+- **Clarify responsibilities at the start of each phase.**
+ Make sure everyone understands their roles and deliverables early to reduce confusion.
+
+- **Track progress using visual tools (e.g., Kanban or checklist).**
+ This helps everyone stay aligned and aware of the overall workflow.
+
+---
+
+## Lessons Learned
+
+- Dividing tasks by analytical questions ensures clearer focus and better outcomes.
+- Strong team communication and early problem reporting prevent major setbacks.
+- Going back to refine earlier work (like cleaning or EDA) can save time and
+ boost final quality.
+- Flexibility is necessary — be ready to adapt when the original plan isn’t working.
+
+---
+
+## Strategy vs Board
+
+### What parts of your plan went as expected
+
+- Successfully improved earlier work and maintained consistency across steps.
+- Team members communicated effectively and helped one another.
+
+### What parts of your plan did not work out?
+
+- Dividing tasks by dataset caused overlap and lack of clarity.
+- Some important analysis steps were missed due to unclear responsibilities.
+
+### Did you need to add things that weren’t in your strategy or remove extra steps?
+
+- Yes. We added extra effort to clean and align earlier tasks.
+- We shifted the task-division approach from dataset-based to analytical question–based.
+- Removed some duplicate or unclear steps that didn't contribute to the core goals.
+
+## Individual retrospectives
+
+### Ahd
+
+### **What Went Well**
+
+Started early with working on data exploration 2 and critically think how to
+ work on an analysis question and use my data accordingly
+A lot of going back and forth with data and the exploration
+
+### **What Didn’t Go as Planned**
+
+Confusion of what is data analysis and what is data exploration
+Starting with dividing analysis according to datasets again but turns out
+ choosing data analysis questions related to the main question regardless of the
+ datasets
+
+### **Did you need to add things that weren't in your strategy? Or remove extra steps?**
+
+Just had a call with Evan that clarified a lot of questions and confusions
+
+### Zeinab
+
+### What Went Well
+
+- Contributed to improving previous work, especially in cleaning and exploring
+ the data more deeply.
+- Stayed committed to quality by reviewing earlier steps and identifying
+ opportunities to refine and strengthen the analysis.
+- Communicated effectively with the team and supported task coordination.
+
+### What Didn’t Go as Planned
+
+- Initially divided tasks based on datasets, which led to confusion and lack of
+ clear direction.
+- Realized later that dividing based on analytical questions makes more sense
+ and provides clearer focus.
+
+### Did You Need to Add Things That Weren’t in Your Strategy? Or Remove Extra Steps?
+
+- Yes. I added more time for data cleaning and re-exploration to ensure accuracy
+ and clarity.
+- add more data to help make accurate analysis
+- Removed unnecessary or duplicate steps that didn’t align with the main analysis
+ goals.
+
+### Mohamed Altayeb
+
+### What Went Well
+
+- Had a better understanding of the difference between data exploration and
+ data analysis.
+- Gained more experience with working with Jupyter Notebooks.
+
+### What Didn’t Go as Planned
+
+- Ongoing power blackout prevented me from properly contributing to the work
+ this milestone>
+- I wasn't able to do a deep enough analysis
+ as I initially desired because of the time limitation and the power situation.
+- I had to include only 4 countries in my analysis during the time frame
+ of this milestone.
+
+**Did You Need to Add Things That Weren’t In Your Strategy? Or Remove Extra Steps?**
+
+- Divided the tasks based on analytical questions rather than data sets.
+ This enabled us to work more individually and combine our results later.
+- I had to reduce the complexity and scope of my analysis to
+ comply with the time constrain.
diff --git a/collaboration/retrospectives/4_communicating_results.md b/collaboration/retrospectives/4_communicating_results.md
index e69de29bb..023e8d10f 100644
--- a/collaboration/retrospectives/4_communicating_results.md
+++ b/collaboration/retrospectives/4_communicating_results.md
@@ -0,0 +1,92 @@
+# Retrospective
+
+
+
+
+
+## Stop Doing
+- Spending too much time detailing research methodology in the blog (it slowed us down).
+
+## Continue Doing
+- Continued working on the blog post with strong collaboration and clear narrative.
+- Using visuals and structured storytelling in the pitch deck.
+- Applying our research into concrete solutions (proposal + pilot idea).
+- Dividing work based on strengths (writing, design, data).
+
+## Start Doing
+- Set clearer task ownership and deadlines earlier in the process.
+- Incorporate visuals (charts, diagrams) into the blog and proposal earlier.
+- Reach out to partners earlier to avoid delays.
+- Build in time for feedback rounds before finalizing deliverables.
+
+## Lessons Learned
+- Simplicity and clarity make research communication more powerful than heavy detail.
+- Strong teamwork and clear division of roles help us finish on time.
+- Visual storytelling (in the deck and blog) makes a big difference in engaging the audience.
+- Early feedback and iteration can prevent last-minute edits.
+
+---
+
+## Strategy vs Board
+
+### Ahd
+**What parts of your plan went as expected**
+- Pitch deck was a huge success, and it will directly support drafting the final presentation.
+
+**What parts of your plan did not work out**
+- Partnering with a research center did not materialize within the milestone timeline.
+
+**Did you need to add or remove steps?**
+- Added a WhatsApp campaign with infographics for solar awareness.
+
+---
+
+### Mohamed Altayeb
+**What parts of your plan went as expected**
+- The blog post, pitch deck, and proposal draft came out very well.
+- Each artifact was tailored to its audience and effectively conveyed the message.
+
+**What parts of your plan did not work out**
+- We missed the deadline for the UNHCR fund, so we couldn’t apply.
+- We haven’t yet found an organization to partner with for the pilot.
+
+**Did you need to add or remove steps?**
+- Targeting more than one audience with separate communication artifacts wasn’t in the initial plan, but it worked out very well.
+
+---
+
+### Maria Cedeño
+
+**What parts of your plan went as expected**
+- The blog post was successful and went as planned.
+
+**What parts of your plan did not work out**
+- We were unable to apply for the UNHCR fund, but we learned a lot about the process.
+
+**Did you need to add or remove steps?**
+- For future steps, I’d like to create a full website for our project to better reach our audience.
+- I’d also like to open accounts on social media platforms (Instagram, Facebook).
+
+---
+
+### Zeinab Mohmmed
+
+**What parts of your plan went as expected**
+- We successfully identified a suitable audience for our project message. Both our blog post and presentation pitch were well-prepared and met our expectations.
+
+**What didn’t go as planned**
+- We faced some delays because we spent extra time deciding on our target audience and the right medium.
+
+**Did you add or remove steps?**
+- We are planning to implement the *Solar Pilot Kit in Khartoum* and have already started looking for funding and building partnerships to support it.
+
+### Mohamed Saeed
+
+**What parts of your plan went as expected**
+- The team did an excellent job in crafting the pitch and blog post.
+
+**What didn’t go as planned**
+- My low contribution in the last milestone may have led to delays in the team's progress.
+
+**Did you add or remove steps?**
+- Raising public awareness about the hidden benefits of solar energy by creating a Facebook page and post posts there.
diff --git a/collaboration/retrospectives/_template.md b/collaboration/retrospectives/_template.md
index c24b796a7..067103255 100644
--- a/collaboration/retrospectives/_template.md
+++ b/collaboration/retrospectives/_template.md
@@ -1,5 +1,3 @@
-
-
# Retrospective
## Stop Doing
@@ -8,24 +6,16 @@
## Start Doing
-## Lessons Learned
-
----
-
-## Strategy vs. Board
-
-### What parts of your plan went as expected?
-
-### What parts of your plan did not work out?
+## Lessons learned
-### Did you need to add things that weren't in your strategy?
+## strategy vs Board
-### Or remove extra steps?
+### what parts of your plan went as expected
----
+### What parts of your plan did not workout?
-## Individual Rerospectives
+### Did you need to add things that weren’t in your strategy
-### Name
+### or remove extra steps
-
+## Individual retrospectives
diff --git a/notes/01meeting_minutes.md b/notes/01meeting_minutes.md
new file mode 100644
index 000000000..a794796a5
--- /dev/null
+++ b/notes/01meeting_minutes.md
@@ -0,0 +1,66 @@
+# **Meeting 01**
+
+**31/05/2025
+12.00 EST - 12.40 EST
+Google Meet
+Attendees: 4**
+
+## Agenda
+
+Communication file
+
+### **Topics Discussed:**
+
++ **Social Norms**: [Here's the link](https://docs.google.com/document/d/10UOFpGODRinpdLTszYOAckpkZL9rYJm5/edit#heading=h.90oznua42yww)
+
++ **Naming Branches**: snake case and small case
+*make it short and simple and clear*
+
++ **Dont rely on just Github for the project board**
+ Make sure to notify us on Slack Group
+
++ **Deadlines**: Buffer of two days before real submission to discuss
+
++ **Review of two people before merging**
+ *Add adequate description in pull requests.*
+
++ **Delete Branches after merging after every milestone**
+
+### Key discussions
+
+*Communication:*
+• **Google Meet:** Every Thursday with max 1hr
+• **Slack:** Main tool and for detailed discussions,
+ project related conversations and responses
+• **Google Docs:** For collaborative writing and sharing responses and views
+• **Github** For issues and documentation
+ **Time for meetings:** 12EST "appropriate for everyone"
+
+### Decision made
+
+**Action Items**
+ *What needs to be done?*
+**Collaboration file**
+
++ Communication: Mohamed Saeed
++ Social Norms: Maria
++ Learning Goals: Abdallah
++ Constraints: Ahd
+
+### Follow up
+
++ [Branch Protection Rules]()
+
++ **Documents will be send related to the following topics:**
+Goals, Communication and Constraints
+*Contribute your answers on Slack*
+
+### Other notes
+
+Any refining on social norms will be considered.
+Any major ones will be discussed.
+
+### Next meeting
+
+Thursday 7th June 2025
+12 EST “appropriate for everyone”
diff --git a/notes/02meeting_minutes.md b/notes/02meeting_minutes.md
new file mode 100644
index 000000000..998137211
--- /dev/null
+++ b/notes/02meeting_minutes.md
@@ -0,0 +1,77 @@
+# **Meeting 02**
+
+**31/05/2025
+12.00 EST - 1.10 EST
+Google Meet
+Attendees: 5**
+
+## Agenda
+
+> Problem Identification
+Revise Milestone 0 Deliverables
+
+### **Topics Discussed:**
+
++ **Milestone 0 Deliverables**
++ [x] A repository set up with: a project board, branch protections,
+ pull request template, and 6 milestones (named after the CDSP milestones)
++ [x] Collaboration documents:
+ + [x] Group norms
+ + [x] Constraints
+ + [x] Communication plan
+ + [x] Learning goals
++ [x] Contributor guidelines written in CONTRIBUTING.md
++ [x] Meeting agendas and minutes
++ [x] A retrospective for this milestone
++ [x] A labeled Git tag for this milestone created before the deadline
+ (we will review your deliverables based on the tagged commit)
++ [x] Completed the milestone survey
+
+### Key discussions
+
+**Action Items**
+ *What needs to be done?*
+
++ **Research Question Discussion**
+ + Each member should propose a fully formatted research question
+ + Domain: Sustainable Development
+ + Support with initial studies:
+ + Personal summaries
+ + Helpful PDFs, articles, or links
+ + Ask: “Would someone need to know this to understand our research?”
+
++ **Milestone 0 Retrospective**
+ + Each member should:
+ + Create a personal branch
+ + Add their individual retrospective
+
+### Decision made
+
++ **How to improve communication in asynchronous work**
+ + Add meeting agendas in GitHub Issues and Slack before meetings
+ + Clearly delegate tasks at the end of meetings
+ + Check GitHub Issues and the Project Board regularly
+ + Use emojis on Slack to acknowledge or respond quickly
+ + Meeting minutes available on notes
+ + Regular check-ins
+
+### Follow up
+
++ Submit a well-formatted research question within the *Sustainable
+ Development* domain.
+
+### Other notes
+
+Any refining on will be considered.
+Any major ones will be discussed.
+
+### Next meeting Agenda
+
+#### **Domain Study**
+
++ Every member
+ + Research Question with links
+ + Iceberg Model related to the question
+
++ Check poll on Slack and vote
++ 12 EST “appropriate for everyone”
diff --git a/notes/03meeting_minutes.md b/notes/03meeting_minutes.md
new file mode 100644
index 000000000..64fd4436e
--- /dev/null
+++ b/notes/03meeting_minutes.md
@@ -0,0 +1,58 @@
+# **Meeting 03**
+
+**11/06/2025
+12.00 EST - 1.00 EST
+Google Meet
+Attendees: 5**
+
+## Agenda
+
+> Problem Statement and Actionable Research Question
+
+### **Topics Discussed:**
+
++ **Problem Statement**
+ > Citizens of a conflict affected country need a stable source of
+ electricity. But due to ongoing clashes and systematic attacks on
+ power plants they are unable to get stable access to power.
+
++ **Project Scope**
+ + Renewable Energy Theme: _Solar Energy_
+ + Time Period : _Decade_
+ + Regions : _Syria, Sudan, Gaza and Ukraine_
+ + Existing Implementations : _Case studies: Completed projects_
+
+### Key discussions
+
+**Action Items**
+ _What needs to be done?_
+
++ **Actionable Research Question**
+ _send me on slack your questions so to add on the poll_
+ + vote on slack for you think match the criteria (FRESCO) tomorrow
+
+### Decision made
+
++ **Thorough Background Review : Links, Articles for the domain study**
+ + [Google Document](https://docs.google.com/document/d/1Yw1UP4cB71oUomFpwXoQBt9ORceIe9XGo_ckthFp-Ek/edit?usp=sharing)
+ _then will be refined and added on_ [this file](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/blob/main/0_domain_study/README.md)
+
+### Follow up
+
+#### Deliverables
+
++ Tomorrow choose the question onSlack
++ Add your links and articles of bg review
++ Add your summary using system thinking
+
+### Other notes
+
+Any refining on will be considered.
+Any major ones will be discussed.
+
+### Next meeting Agenda
+
+#### **Research Question, Summary of Group's Understanding and Retrospective**
+
++ Saturday 14/06/2025
++ 12 EST “appropriate for everyone”
diff --git a/notes/04meeting_minutes.md b/notes/04meeting_minutes.md
new file mode 100644
index 000000000..edd8049c3
--- /dev/null
+++ b/notes/04meeting_minutes.md
@@ -0,0 +1,66 @@
+# **Meeting 03**
+
+**15/06/2025
+12.00 EST - 1.00 EST
+Google Meet
+Attendees: 4**
+
+## Agenda
+
+> Refined the research question
+> Retrospective
+> Task Delegation
+
+### **Topics Discussed:**
+
+#### **Retrospective**
+
++ Start Doing
+ + Add a **detailed meeting agenda** on key issues.
+ + Schedule **meetings before check-ins** for better preparation.
++ Continue Doing
+ + **Google Meet meetings**: Twice a week, each 1.5 hours long.
+ + Maintain **bi-weekly meetings**.
+ + Use **GitHub Discussions** to document our process and decisions.
+ + Create **polls** when needed to allow time for study and group input.
+
++ Lessons Learned
+ + **Delegating tasks** improves efficiency and clarity
+
+### Key discussions
+
+**Action Items**
+ _What needs to be done?_
+
++ **ALL GROUP MEMBERS SHOULD DO**
+ + Individual Retrospective
+ + Add your prespective in Study Guide and summary of group understanding
+ + Check [Discussions](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/discussions)
+
+### Decision made
+
++ **Refined research question** after poll on Slack
+ > How have armed conflicts in the past decade affected the deployment,
+ capacity utilization, and household consumption of solar photovoltalic
+ in conflict‐affected communities?
+
+### Follow up
+
+#### Deliverables
+
++ Progress : Mohammed Saeed
++ Retrsopective: Anyak
++ Background review (study domain): Mariia
++ Read.me : Ahd
++ Group understanding - System Thinking + Git tag: Mohamed Altayeb, Abdallah Alnajjar
+
+### Other notes
+
+Any refining on will be considered.
+Any major ones will be discussed.
+
+### Next meeting
+
++ Check issues for Agenda
++ Wednesday 18/06/2025
++ 12 EST “appropriate for everyone”
diff --git a/notes/05meeting_minutes.md b/notes/05meeting_minutes.md
new file mode 100644
index 000000000..c0189260e
--- /dev/null
+++ b/notes/05meeting_minutes.md
@@ -0,0 +1,42 @@
+# **Meeting 03**
+
+**21/06/2025
+12.00 EST - 1.10 EST
+Google Meet
+Attendees: 4**
+
+## Agenda
+
+> [Here an issue](https://github.com/orgs/MIT-Emerging-Talent/projects/194?pane=issue&itemId=116046257&issue=MIT-Emerging-Talent%7CET6-CDSP-group-08-repo%7C44)
+
+### Key discussions
+
+**Action Items**
+ _What needs to be done?_
+
++ **ALL GROUP MEMBERS SHOULD DO**
+ + Find sources and datasets that can be proxy data or direct
+ related to the question
+
+### Follow up
+
+#### Deliverables
+
+**Task Delegation**:
+
++ Asia : Mohammed Saeed
++ South Sudan: Anyak
++ Ukraine: Mariia
++ Africa: Mohamed ElTayeb + Ahd
++ Gaza : Abdallah Alnajjar
+
+### Other notes
+
+Any refining on will be considered.
+Any major ones will be discussed.
+
+### Next meeting
+
++ Before Check-in
++ Monday 23/06/2025
++ 12 EST “appropriate for everyone”
diff --git a/notes/06meeting_minutes.md b/notes/06meeting_minutes.md
new file mode 100644
index 000000000..5fda0400c
--- /dev/null
+++ b/notes/06meeting_minutes.md
@@ -0,0 +1,89 @@
+
+
+# **Meeting 06**
+
+**23/06/2025
+12.00 EST - 1.20 EST
+Google Meet
+Attendees: 3**
+
+## Agenda
+
+> [Here an issue](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/issues/49)
+
+### **Topics Discussed:**
+
+
+## Strategies for the Sources/ Datasets
+
+
+### [Renewable Energy Capacity Statistics 2025](https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2025/Mar/IRENA_DAT_RE_Capacity_Statistics_2025.pdf)
+
+- Our focus is on solar energy.
+ _why we chose it as the centerpiece of our analysis_
+ comparing solar to other renewable sources such as hydropower and wind, as well as to alternatives like biofuels and diesel, to demonstrate its relative advantages—particularly in conflict-affected settings.
+
+ **STRATEGY: Compare between renewables (hydro and wind) and non- renewables (diesel )**
+
+### [STAT Compiler - DHS program](https://www.statcompiler.com/en/)
+
+- It provide nationally representative household-level data, including information on household energy consumption and primary sources of electricity. These surveys also capture the growth of off-grid solar adoption over time, with tables showing the percentage of households using each electricity source over the past years
+
+**STRATEGY: Look for household surveys on primary electricity sources and off-grid solar adoption percentages.**
+
+### [UN Comtrade](https://comtradeplus.un.org/TradeFlow?Frequency=A&Flows=M&CommodityCodes=TOTAL&Partners=0&Reporters=all&period=2024&AggregateBy=none&BreakdownMode=plus)
+
+- Contains international trade data that can support your project by helping you track the import and export of solar energy technologies—such as photovoltaic panels, batteries, inverters, and solar lighting systems—into and out of conflict-affected countries.
+
+**STRATEGY: We plan to track import/export volumes and values of solar panels and related equipment.**
+
+
+### [Statistical Review of Energy World Data](https://www.energyinst.org/statistical-review/resources-and-data-downloads)
+- See how much solar power each of our chosen conflict countries has installed each year ( track its deployment).
+- See how much electricity they actually generate from solar (this gives US a clue about how well the systems are working, or their capacity utilization).
+- Understand the bigger energy picture in those countries, like their total electricity use, and how solar fits in compared to coal, oil, or other sources.
+
+**STRATEGY: Compare the deployment of solar PVs in conflict-affected countries versus stable (non-conflict) countries.**
+
+### Key discussions
+
+**Action Items**
+ _What needs to be done?_
+
++ **MORE DATA**
+
+
+### Decision made
+
++ **Project Scope**
+> _widdened the scope_ : They represent different types/durations of conflict, data availability and would strengthen the scope.
+ + Renewable Energy Theme: _Solar Energy_ and compare between hydro, wind and nonrenewables like diesel
+ + Time Period : _between a decade and 15 years_
+ + Geographic Regions: Afghanistan, Sudan, Syria, Ukraine, Gaza, South Sudan, Pakistan, Ethiopia, Nigeria
+
+### Follow up
+
+#### Deliverables
+
+[] A non-technical explanation of how you chose to model your domain, and possible flaws in this approach, in your README. (visuals are helpful!)
+[] Documentation for your data set describing where it came from, how it’s structured, possible flaws, and how someone can recreate it. Think broadly: qualitative data is still data!
+[] All of your data collection and cleaning scripts so someone can replicate your final data set given your raw data sources. Includes scripts for separating your data set into training and validation data, if applicable.
+[] A public hosting of your prepared data set. This can be directly in your repository, or a link to i.
+[] A labeled Git tag for this milestone created before the deadline - we will review your deliverables based on the tagged commit.
+[] Complete the milestone survey.
+[] A retrospective for this milestone (group & individual)
+
+### Other notes
+
+Any refining on will be considered.
+Any major ones will be discussed.
+
+### Next meeting Agenda
+
+- Discuss Evan's feedback yesterday
+- Discuss Merging opportunities
+- Deliverables and how we will approach them
+- Environmental and Social impact
+
++ Thursday 28/06/2025
++ 12 EST “appropriate for everyone”
diff --git a/notes/07meeting_minutes.md b/notes/07meeting_minutes.md
new file mode 100644
index 000000000..a11fd7a97
--- /dev/null
+++ b/notes/07meeting_minutes.md
@@ -0,0 +1,72 @@
+# **Meeting 07**
+
+**26/06/2025
+1.50 EST - 3.10 EST
+Google Meet
+Attendees: 6**
+
+
+
+
+## Agenda
+
+> [Here an issue](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/issues/52)
+
+### **Topics Discussed:**
+
++ **MERGING WITH GROUP-07**
+ > Introductions and catching new members to speed
+
+ > New : Check [Discussions](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/discussions),
+ [readme](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo) also the [meeting minutes](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/tree/main/notes)
+
+ > Add: your retrospectives from last milestones
+
++ **Evan's feedback**
+ + Search for another data sets that has conflict time data
+ + Watch out for hidden solar-use (second hand markets and repair panels) :
+Less purchasing of solar panels during conflict time doesnt mean they are less use of them;
+They could be sold internally.
+
++ **Dont be biased: Solar adoption has negative and positive impacts**
+
+### Key discussions
+
+**Action Items**
+ _What needs to be done?_
+
++ **Research and Data set Docmentation**
+ _[check this doc](https://docs.google.com/document/d/1ajz9JkydyEOgPA-oZCsHpdMHDASRS6zSWqDw1OkLrms/edit?tab=t.0)_
+
+- [UN Comtrade](https://comtradeplus.un.org/TradeFlow?Frequency=A&Flows=M&CommodityCodes=TOTAL&Partners=0&Reporters=all&period=2024&AggregateBy=none&BreakdownMode=plus): Mohamed Eltayeb
+- [IRENA stats extract- On grid ](https://docs.google.com/spreadsheets/d/1SYOe7yLypu_Qn0DbRCMcOIEeiqcl7PUy/edit?usp=sharing&ouid=106187984882240785029&rtpof=true&sd=true): Mohamed Saeed
+- [IRENA stats extract - off grid](https://docs.google.com/spreadsheets/d/1eJkjWIo93rS9puwD2-5mbCyZUm3LQdSE/edit?usp=sharing&ouid=106187984882240785029&rtpof=true&sd=true): Ahd
+- Conflict data source : Zeinab
+
+
+### Decision made
+
++ **Data set Documentation**
+ + [Document here](https://docs.google.com/document/d/1_TYomVK4b8O8yVwX20rdVb4_TO__LdXcUmL-gRSKjNc/edit?usp=sharing) and answer question related to your data set
+
++ **For Data Documentation and Preparation**
+ + Will be using _google colab_ for better asychronous work
+
+### Follow up
+
+#### Deliverables
+
++ Non- Technical Explain of the domain : Done
++ Data set Documentation : All members
+
+### Other notes
+
+Any refining on will be considered.
+Any major ones will be discussed.
+
+### Next meeting Agenda
+
+#### **Data Preparation and Cleaning**
+
++ Saturday 28/06/2025
++ 12 EST “appropriate for everyone”
diff --git a/notes/11meeting_minutes.md b/notes/11meeting_minutes.md
new file mode 100644
index 000000000..a5fb5b01a
--- /dev/null
+++ b/notes/11meeting_minutes.md
@@ -0,0 +1,70 @@
+# **Meeting 11**
+
+**26/07/2025
+12.30 EST - 1.20 EST
+Google Meet
+Attendees: 6**
+
+## Agenda
+
+> Presentation
+> Peer Review
+> Communicating Results
+
+### Key discussions
+
+**Action Items**
+ *What needs to be done?*
+
++ **Presentation**
+ + **Data Modeling Strategy**
+ + Final Data Data sets look like
+ + Variables / measurements Used
+ + Structured Organized Data for the analysis
+ + Changes made
+ + Point out whats wrong with it and could be better
+ + **Data Analysis Strategy**
+ + Name the specific techniques, tools, or algorithms used
+ + Don't explain why you chose them or how you decided
+ + Point out what's wrong with what you did
+ + Be generic with this and mention assumptions and limitations
+ + **Results & Interpretation**
+ + What patterns or findings did you discover in your data?
+ + What conclusions did you draw from those patterns?
+ + How did you go from "the numbers show X" to "this means Y"
+ + Be critical of your interpretation
+
+### Decision made
+
++ **[Presentation Slides](https://docs.google.com/presentation/d/1JwlSEM4H5ApBjsj3wJFacOUQXUMaGilJvO1VyjTXrfA/edit?slide=id.g1dad55ef69b_1_1496#slide=id.g1dad55ef69b_1_1496)**
+ + Ahd : **Data Modeling Strategy**
+ + Mohamed Saeed : **Data Analysis Strategy**
+ + Mohamed Eltayeb + Maria : **Results & Interpretation**
+ + Maria : **Team Info**
+
+### Follow up
+
+>**- Presentation:**
+ Prepared and discuss everything and schedule meeting with Evan
+
+### Other notes
+
+Any refining on readmes will be considered.
+Any major ones will be discussed.
+Peer review next week.
+
+### Next meeting Agenda
+
+#### **Communicating Results**
+
++ Each member should propose a fully formatted:
+ + Answer questions on the previous [meeting agenda](https://github.com/MIT-Emerging-Talent/ET6-CDSP-group-08-repo/issues/111)
+ on Slack about communicating results and do a
+ small presentation about so we have alot of ideas
+ + Target Audience
+ + Medium
+ + Key message
+ + Findings/Statements
+
++ Check slack for poll for next meeting
+ + 12 EST “appropriate for everyone”