math-engine 0.1.5

A fast and secure mathematical expression evaluator.

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Math Engine

Math Engine is a high-precision, modular calculation engine written in pure Python.
It provides a complete processing pipeline:

tokenizing → parsing (AST) → evaluating → optional equation solving

The package is available on PyPI:

pip install math-engine

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✨ Features

• Tokenizer Converts raw text to tokens: numbers, operators, parentheses, variables, functions.

• Parser (AST) Recursive-descent parser with correct operator precedence.

• Evaluator

  • High-precision Decimal arithmetic (precision = 50)
  • Fraction support where needed
  • Scientific functions: sin, cos, tan, log, √, π, e, etc.
  • Supports variables via dictionary injection evaluate("2+LEVEL", {"LEVEL": 0.5})

• Equation Solver

  • Solves linear equations with one variable

• Settings system

  • Configurable decimal places
  • Output formats
  • Scientific mode
  • Robust load/save system via config_manager

• Custom errors with clean messages.

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🚀 Quick Start

1. Basic Evaluation

from math_engine import evaluate

print(evaluate("3 * (2 + 5) - 4^2")) # -> 5

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2. Comparison

from math_engine import evaluate

print(evaluate("((3 * 3) / 2) = 7 + 5")) # -> False

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3. Using Variables

You can inject any number of variables:

from math_engine import evaluate

test_vars = {
    "LEVEL": 0.5,
    "ENABLED": 1,
}

expr = "2 + 2 - LEVEL - 1"
result = evaluate(expr, test_vars)

print(result)     # -> 2.5 (depending on formatting settings)

Useful for:

• config systems
• scripting
• modding tools
• dynamic calculations

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4. Solving Equations

from math_engine import evaluate

solution = evaluate("3x + 5 = 11")
print(solution)   # -> 2 (for x = 2)

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5. Scientific Functions

from math_engine import evaluate

print(evaluate("sin(3π/4)")) # -> 0.71
print(evaluate("√(81)"))     # -> 9
print(evaluate("log(100)"))  # -> 4.61

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⚙️ Settings: Load / Modify / Save

Math Engine includes a built-in settings system (config_manager) to control:

• Decimal precision
• Fraction vs Decimal output
• Thousands separators

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Load all existing settings

from math_engine import load_all_settings

print(load_all_settings())

This loads e.g.:

{
    "decimal_places": 2,
    "use_degrees": false,
    "allow_augmented_assignment": true,
    "fractions": false
}

Load specific existing settings

from math_engine import load_one_setting

print(load_one_setting("decimal_places")) # -> 2

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Modify / save settings in code

from math_engine import change_setting

change_setting("decimal_places", 10)  # -> 1 (for saved successfully)
change_setting("decimal_places", "a") # -> -1 (for  not saved successfully)

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Use settings when evaluating

If your engine exposes something like:

from math_engine import evaluate, load_all_settings

settings = load_all_settings()

print(evaluate("1/3"))

This allows:

• consistent output across UI/CLI
• user-customizable formatting
• integration with your calculator GUI

(If your package exposes the settings differently, I can adapt this section.)

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📁 Project Structure

math_engine/
├── MathEngine.py        # Core tokenizer, parser, evaluator, solver
├── ScientificEngine.py  # Scientific functions
├── config_manager.py    # Load + save user settings
├── error.py             # Custom error classes
└── config.json          # Saves all the settings
└── __init__.py          # Exports evaluate(), solve(), MathEngine, etc.

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🛠️ Development

git clone https://github.com/JanTeske06/math_engine
cd math_engine
pip install -e .

Run tests:

pytest

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📜 License

This project is licensed under the MIT License - see the dedicated LICENSE file for details.

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