TypedUnit 0.0.4

A package wrapping pint for handling typed units in Python.

Type-safe physical units for Python

TypedUnits is a Python library that extends Pint with type safety and validation capabilities. It allows you to create unit-aware types that work seamlessly with Python’s type system and provide runtime validation for physical quantities.

Key Features:

• Type Safety: Use isinstance() checks with unit types like Energy, Time, Power

• Automatic Validation: Function decorators for unit validation based on type annotations

• Pydantic Integration: Full compatibility with Pydantic dataclasses and models

• Normal Pint Usage: Keep your existing Pint code - just add type safety on top

---

Quick Example

from TypedUnits import Energy, Time, Power, validate, ureg

# Normal Pint instantiation
energy = 100 * ureg.joule
time = 10 * ureg.second

# But now isinstance works!
assert isinstance(energy, Energy)  # True
assert isinstance(time, Time)      # True

@validate_units
def calculate_power(energy: Energy, time: Time) -> Power:
    """Function with automatic unit validation."""
    return (energy / time).to(ureg.watt)

# This works
power = calculate_power(energy, time)
print(f"Power: {power}")

# This fails with clear error message
length = 5 * ureg.meter
# calculate_power(length, time)  # TypeError: Expected Energy, got Length

---

Installation

pip install TypedUnits

---

Basic Usage

Unit Type Checking

from TypedUnits import Energy, Length, Mass, ureg

# Create quantities the normal way
kinetic_energy = 0.5 * 10 * ureg.kilogram * (5 * ureg.meter / ureg.second)**2
potential_energy = 10 * ureg.kilogram * 9.81 * ureg.meter / ureg.second**2 * 2 * ureg.meter
distance = 100 * ureg.meter
mass = 5 * ureg.kilogram

# Type checking works
assert isinstance(kinetic_energy, Energy)
assert isinstance(potential_energy, Energy)
assert isinstance(distance, Length)
assert isinstance(mass, Mass)

Function Validation

from TypedUnits import validate_units, Energy, Time, Power

@validate_units
def calculate_work(power: Power, time: Time) -> Energy:
    """Calculate work from power and time."""
    return (power * time).to(ureg.joule)

power = 1500 * ureg.watt
time = 3600 * ureg.second  # 1 hour
work = calculate_work(power, time)
print(f"Work done: {work.to(ureg.kilowatt_hour)}")

Pydantic Integration

from TypedUnits import Energy, Length, Mass
from pydantic.dataclasses import dataclass

@dataclass
class Projectile:
   kinetic_energy: Energy
   height: Length
   mass: Mass

# Automatic validation on creation
projectile = Projectile(
   kinetic_energy=500 * ureg.joule,
   height=10 * ureg.meter,
   mass=2 * ureg.kilogram
)

---

Available Unit Types

TypedUnits includes common physical unit types:

• Mechanical: Energy, Power, Force, Pressure

• Spatial: Length, Area, Volume, Angle

• Temporal: Time, Frequency

• Thermal: Temperature, ThermalConductivity

• Electrical: Current, Voltage, Resistance, Capacitance

• Optical: RefractiveIndex, Wavelength, ElectricField

• Mass: Mass, Density, MolarMass

---

Advanced Features

Custom Unit Types

from TypedUnits import create_unit_type

# Create your own unit types
MagneticField = create_unit_type('MagneticField', '[magnetic_flux_density]')

field = 1.5 * ureg.tesla
assert isinstance(field, MagneticField)

Flexible Validation

from TypedUnits import validate_enhanced

@validate_enhanced(strict_mode=False, convert_types=True)
def flexible_function(energy: Energy, count: int) -> str:
    """Function with flexible validation options."""
    return f"Energy per item: {energy / count}"

---

Requirements

• Python ≥ 3.8

• Pint ≥ 0.20

• Pydantic ≥ 2.0 (optional, for dataclass integration)

---

Testing

git clone https://github.com/MartinPdeS/TypedUnits.git
cd TypedUnits
pip install -e ".[testing]"
pytest

---

Contributing

TypedUnits is open source and contributions are welcome! Whether you’re fixing bugs, adding new unit types, or improving documentation, your help is appreciated.

Author: Martin Poinsinet de Sivry-Houle

Email: [e-mail]

---