Metadata-Version: 2.4
Name: prophetdiceskills
Version: 1.0.0
Summary: A library converting RNG cracking algorithms into callable functions with bot emulation.
Author: Prophet Dice Skills
Author-email: prophet@example.com
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numba
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: PyWavelets
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: river
Requires-Dist: torch
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Prophet Dice Skills

This library provides all the fundamental RNG cracking functions converted into callable API methods. 
It also brings a full object-oriented dice bot simulation suite, letting you retrieve balances, place conditions, and wager effectively using standard interfaces.

## Usage

```python
from prophetdiceskills import ProphetBot, aggressive_time_crack

bot = ProphetBot(initial_balance=5000.0)
bot.setwager(10)
bot.setcondition("<")
bot.settarget(49.5)

result = 45.12
bot.simulate_roll(result)

print(bot.getbalance())
print(bot.getprofit())
```

## Functions Included
- `getbalance()`
- `setcondition()`
- `setwager()`
- `getresult()`
- ... and more, along with all `beatstake` / `stakeenhanced` capabilities!
- `GroundbreakingPredictor` for Deep Learning (Transformer/MLP/RF) time-series forecasting.
- `AdvancedBettingSystem` with Anti-Human Burst Strategies.
- `RegimeDetector` and `SimpleKalmanFilter` for signal processing and anomaly detection.
