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DecJADecJA
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Merge pull request #107 from StakeEngine/volatility-verification
Mirror Stake Engine publish math checks for bet-level verification.
2 parents 403c9fa + 8c6037e commit 600a376

16 files changed

Lines changed: 149 additions & 37 deletions

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‎.github/workflows/tests.yml‎

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name: Tests
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on:
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pull_request:
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branches: [main]
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jobs:
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test:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: "3.13"
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- name: Install dependencies
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run: pip install -r requirements.txt
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- name: Run tests
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run: pytest tests/ -v

‎games/0_0_cluster/game_config.py‎

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@@ -23,7 +23,7 @@ def __init__(self):
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self.working_name = "Sample Cluster Game"
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self.wincap = 5000.0
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self.win_type = "cluster"
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self.rtp = 0.9700
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self.rtp = 0.9670
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self.construct_paths()
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# Game Dimensions

‎games/0_0_cluster/game_optimization.py‎

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@@ -21,11 +21,11 @@ def __init__(self, game_config):
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"base": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
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rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
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).return_dict(),
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"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
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"freegame": ConstructConditions(
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rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
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rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
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).return_dict(),
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"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
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},
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"bonus": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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).return_dict(),
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"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
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"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
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},
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"scaling": ConstructScaling(
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[

‎games/0_0_expwilds/game_config.py‎

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@@ -16,7 +16,7 @@ def __init__(self):
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self.working_name = "Expanding Wilds"
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self.wincap = 5000
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self.win_type = "lines"
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self.rtp = 0.97
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self.rtp = 0.967
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self.construct_paths()
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# Game Dimensions

‎games/0_0_expwilds/game_optimization.py‎

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@@ -21,11 +21,11 @@ def __init__(self, game_config):
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"base": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
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rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
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).return_dict(),
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"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
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"freegame": ConstructConditions(
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rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
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rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
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).return_dict(),
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"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
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},
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"bonus": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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).return_dict(),
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"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
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"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
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},
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"scaling": ConstructScaling(
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[
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"superspin": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["superspin"], search_conditions=wincaps["superspin"]
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rtp=0.001, av_win=wincaps["superspin"], search_conditions=wincaps["superspin"]
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).return_dict(),
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"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
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"basegame": ConstructConditions(hr=1.9, rtp=0.96).return_dict(),
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"basegame": ConstructConditions(hr=1.9, rtp=0.966).return_dict(),
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},
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"scaling": ConstructScaling(
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[

‎games/0_0_lines/game_config.py‎

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self.working_name = "Sample Lines Game"
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self.wincap = 5000.0
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self.win_type = "lines"
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self.rtp = 0.9700
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self.rtp = 0.9670
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self.construct_paths()
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# Game Dimensions

‎games/0_0_lines/game_optimization.py‎

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"base": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
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rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
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).return_dict(),
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"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
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"freegame": ConstructConditions(
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rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
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rtp=0.367, hr=200, search_conditions={"symbol": "scatter"}
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).return_dict(),
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"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
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"basegame": ConstructConditions(hr=3.5, rtp=0.599).return_dict(),
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},
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"scaling": ConstructScaling(
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[
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"bonus": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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).return_dict(),
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"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
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"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
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},
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"scaling": ConstructScaling(
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[

‎games/0_0_lines_feature_match/game_config.py‎

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self.working_name = "Sample Lines Game"
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self.wincap = 5000.0
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self.win_type = "lines"
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self.rtp = 0.9700
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self.rtp = 0.967
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self.construct_paths()
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# Game Dimensions

‎games/0_0_lines_feature_match/game_optimization.py‎

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@@ -21,11 +21,11 @@ def __init__(self, game_config):
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"base": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
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rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
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).return_dict(),
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"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
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"freegame": ConstructConditions(
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rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
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rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
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).return_dict(),
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"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
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},
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"bonus": {
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"conditions": {
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"wincap": ConstructConditions(
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rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
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).return_dict(),
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"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
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"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
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},
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"scaling": ConstructScaling([]).return_dict(),
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"parameters": ConstructParameters(

‎games/0_0_scatter/game_config.py‎

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@@ -22,7 +22,7 @@ def __init__(self):
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self.working_name = "Sample scatter pay (pay anywhere)"
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self.wincap = 5000.0
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self.win_type = "scatter"
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self.rtp = 0.9700
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self.rtp = 0.967
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self.construct_paths()
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# Game Dimensions

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