🚀 PROJECT - PARRALÉLISM MAXIMAL AUTOMATIC

💫 Objective

The objective is the implementation of a library that allows a task system to be rendered according to the following condition:

• Parralélism Maximal Automatic
• Entered in Python

Inside of libaries :

Class	Description
Task	Initialize the reading, writing and execution of a task

Constructor	Description
TaskSystem	Takes a tasks list and a dependency dictionary as parameters

Methods	Description
getDependencies(nomTache)	List the dependencies according to the maximum parallelism system
runSeq()	Sequential execution of the task system
run()	Parallelim execution of the task system
draw()	Setting up a previous graph according to the maximum parallelism system
error_message(TaskSystem)	Print some basics error about the task sytem
detTestRnd(nb_test)	Do some random test with comparaison of execution
parCost(nb_test)	Measure the execution time between runSeq and run. Give the average and the difference

💫 Implementation

Import

Type of package	Import
Standard	thread,random,time
PyPi	graphviz

Install

• the standard imports are already in the python library
• Here is the installation required to install graphviz : https://pip.pypa.io/en/stable/installation/
  • Download zip application : https://bootstrap.pypa.io/pip/pip.pyz
  • Open a terminal/command prompt, cd to the folder containing the get-pip.py file and run:

$ python3 get-pip.py

$ pip install graphviz

Run

To compile the program :

$ clone https://github.com/D-Davinson/projet-PMA.git

Open the reposotory projet-PMA

$ cd project

$ python3 compile.py

🧑🏽‍💻 Authors

• @Davinson DOGLAS PRINCE
• @Exaucé MAKELE