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Merged
DecJA merged 3 commits into from
Jul 3, 2026
Merged

Volatility verification #107

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521e793
volatility and rtp check updates
DecJA Jul 3, 2026
9f78973
hitrate wincap changes
DecJA Jul 3, 2026
8c6037e
add github basic test
DecJA Jul 3, 2026
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21 changes: 21 additions & 0 deletions .github/workflows/tests.yml
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@@ -0,0 +1,21 @@
name: Tests

on:
pull_request:
branches: [main]

jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4

- uses: actions/setup-python@v5
with:
python-version: "3.13"

- name: Install dependencies
run: pip install -r requirements.txt

- name: Run tests
run: pytest tests/ -v
2 changes: 1 addition & 1 deletion games/0_0_cluster/game_config.py
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Expand Up @@ -23,7 +23,7 @@ def __init__(self):
self.working_name = "Sample Cluster Game"
self.wincap = 5000.0
self.win_type = "cluster"
self.rtp = 0.9700
self.rtp = 0.9670
self.construct_paths()

# Game Dimensions
Expand Down
8 changes: 4 additions & 4 deletions games/0_0_cluster/game_optimization.py
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Expand Up @@ -21,11 +21,11 @@ def __init__(self, game_config):
"base": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
},
Expand Down Expand Up @@ -67,9 +67,9 @@ def __init__(self, game_config):
"bonus": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
).return_dict(),
"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down
2 changes: 1 addition & 1 deletion games/0_0_expwilds/game_config.py
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Expand Up @@ -16,7 +16,7 @@ def __init__(self):
self.working_name = "Expanding Wilds"
self.wincap = 5000
self.win_type = "lines"
self.rtp = 0.97
self.rtp = 0.967
self.construct_paths()

# Game Dimensions
Expand Down
12 changes: 6 additions & 6 deletions games/0_0_expwilds/game_optimization.py
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Expand Up @@ -21,11 +21,11 @@ def __init__(self, game_config):
"base": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
},
Expand Down Expand Up @@ -77,9 +77,9 @@ def __init__(self, game_config):
"bonus": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
).return_dict(),
"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down Expand Up @@ -118,10 +118,10 @@ def __init__(self, game_config):
"superspin": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["superspin"], search_conditions=wincaps["superspin"]
rtp=0.001, av_win=wincaps["superspin"], search_conditions=wincaps["superspin"]
).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"basegame": ConstructConditions(hr=1.9, rtp=0.96).return_dict(),
"basegame": ConstructConditions(hr=1.9, rtp=0.966).return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down
2 changes: 1 addition & 1 deletion games/0_0_lines/game_config.py
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Expand Up @@ -22,7 +22,7 @@ def __init__(self):
self.working_name = "Sample Lines Game"
self.wincap = 5000.0
self.win_type = "lines"
self.rtp = 0.9700
self.rtp = 0.9670
self.construct_paths()

# Game Dimensions
Expand Down
10 changes: 5 additions & 5 deletions games/0_0_lines/game_optimization.py
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Expand Up @@ -22,13 +22,13 @@ def __init__(self, game_config):
"base": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.367, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.599).return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down Expand Up @@ -68,9 +68,9 @@ def __init__(self, game_config):
"bonus": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
).return_dict(),
"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down
2 changes: 1 addition & 1 deletion games/0_0_lines_feature_match/game_config.py
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Expand Up @@ -22,7 +22,7 @@ def __init__(self):
self.working_name = "Sample Lines Game"
self.wincap = 5000.0
self.win_type = "lines"
self.rtp = 0.9700
self.rtp = 0.967
self.construct_paths()

# Game Dimensions
Expand Down
8 changes: 4 additions & 4 deletions games/0_0_lines_feature_match/game_optimization.py
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Expand Up @@ -21,11 +21,11 @@ def __init__(self, game_config):
"base": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
},
Expand All @@ -50,9 +50,9 @@ def __init__(self, game_config):
"bonus": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
).return_dict(),
"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
},
"scaling": ConstructScaling([]).return_dict(),
"parameters": ConstructParameters(
Expand Down
2 changes: 1 addition & 1 deletion games/0_0_scatter/game_config.py
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Expand Up @@ -22,7 +22,7 @@ def __init__(self):
self.working_name = "Sample scatter pay (pay anywhere)"
self.wincap = 5000.0
self.win_type = "scatter"
self.rtp = 0.9700
self.rtp = 0.967
self.construct_paths()

# Game Dimensions
Expand Down
8 changes: 4 additions & 4 deletions games/0_0_scatter/game_optimization.py
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Expand Up @@ -17,10 +17,10 @@ def __init__(self, game_config):
self.game_config.opt_params = {
"base": {
"conditions": {
"wincap": ConstructConditions(rtp=0.01, av_win=5000, search_conditions=5000).return_dict(),
"wincap": ConstructConditions(rtp=0.001, av_win=5000, search_conditions=5000).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
},
Expand Down Expand Up @@ -72,8 +72,8 @@ def __init__(self, game_config):
},
"bonus": {
"conditions": {
"wincap": ConstructConditions(rtp=0.01, av_win=5000, search_conditions=5000).return_dict(),
"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
"wincap": ConstructConditions(rtp=0.001, av_win=5000, search_conditions=5000).return_dict(),
"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down
2 changes: 1 addition & 1 deletion games/0_0_ways/game_config.py
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Expand Up @@ -21,7 +21,7 @@ def __init__(self):
self.working_name = "sample ways game"
self.wincap = 5000
self.win_type = "ways"
self.rtp = 0.97
self.rtp = 0.967
self.construct_paths()

# Game Dimensions
Expand Down
8 changes: 4 additions & 4 deletions games/0_0_ways/game_optimization.py
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Expand Up @@ -23,11 +23,11 @@ def __init__(self, game_config):
"base": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["base"], search_conditions=wincaps["base"]
rtp=0.001, av_win=wincaps["base"], search_conditions=wincaps["base"]
).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.376, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
},
Expand Down Expand Up @@ -79,9 +79,9 @@ def __init__(self, game_config):
"bonus": {
"conditions": {
"wincap": ConstructConditions(
rtp=0.01, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
rtp=0.001, av_win=wincaps["bonus"], search_conditions=wincaps["bonus"]
).return_dict(),
"freegame": ConstructConditions(rtp=0.96, hr="x").return_dict(),
"freegame": ConstructConditions(rtp=0.966, hr="x").return_dict(),
},
"scaling": ConstructScaling(
[
Expand Down
4 changes: 2 additions & 2 deletions games/template/game_optimization.py
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Expand Up @@ -18,10 +18,10 @@ def __init__(self, game_config: object):
self.game_config.opt_params = {
"base": {
"conditions": {
"wincap": ConstructConditions(rtp=0.01, av_win=5000, search_conditions=5000).return_dict(),
"wincap": ConstructConditions(rtp=0.001, av_win=5000, search_conditions=5000).return_dict(),
"0": ConstructConditions(rtp=0, av_win=0, search_conditions=0).return_dict(),
"freegame": ConstructConditions(
rtp=0.37, hr=200, search_conditions={"symbol": "scatter"}
rtp=0.379, hr=200, search_conditions={"symbol": "scatter"}
).return_dict(),
"basegame": ConstructConditions(hr=3.5, rtp=0.59).return_dict(),
},
Expand Down
51 changes: 51 additions & 0 deletions utils/analysis/distribution_functions.py
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Expand Up @@ -90,6 +90,57 @@ def get_distribution_median(dist: dict, total_weight=None) -> float:
return 0


def conditional_value_at_risk(cutoff: float, dist: dict, total_weight) -> float:
"""Calculate upper-tail CVaR from payout distribution."""
if total_weight is None:
total_weight = sum(dist.values())
if total_weight == 0:
return 0.0

ordered = sorted(dist.items(), key=lambda x: x[0])
cumulative_prob = 0.0
tail_start = ordered[0][0] if ordered else 0.0

for payout, weight in ordered:
cumulative_prob += weight / total_weight
if cumulative_prob >= cutoff:
tail_start = payout
break

tail_prob = 0.0
tail_value = 0.0

for payout, weight in ordered:
if payout >= tail_start:
prob = weight / total_weight
tail_prob += prob
tail_value += prob * payout

if tail_prob == 0.0:
return 0.0

return tail_value / tail_prob


def get_etl_cvar_p5k_10k_vales(dist: dict, bet_cost: float, total_weight=None) -> list[float]:
"""Get Math Validation Values"""
if total_weight is None:
total_weight = sum(list(dist.values()))

p5k, p10k, cvar, etl40, etl10k = 0, 0, 0, 0, 0
for win, weight in dist.items():
if win >= 10000:
p10k += weight / total_weight
etl10k += win * (weight / total_weight)
if win >= 5000:
p5k += weight / total_weight
if win >= 40 * bet_cost:
etl40 += win * (weight / total_weight)
cvar = conditional_value_at_risk(0.999, dist, total_weight)

return p5k, p10k, etl10k, etl40, cvar


def get_maxwin_hitrate(dist: dict, total_weight=None) -> float:
"""Return frequency of max-win."""
if total_weight is not None:
Expand Down
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