Pre-release

This release is a pre-release and may not be stable for production use.

TUnits - Fast Python Units

Continuous Integration

Implements unit of measurement arithmetic, where a number is associated with a product of powers of base units and values with compatible units can be added.

The library is written in Cython for speed. The library provides the ability to statically check dimensionality type (see below) and a limited protobuffer serialization support for select units (see below). Contributions to extend support for more units are welcome.

A precompiled wheel can be installed using pip install typedunits [--pre].

Example

>> import tunits
>> from tunits.units import meter, km, N, MHz

>> print(3*MHz)
Frequency(3, 'MHz')

>> print(5*meter + km)
Length(1005.0, 'm')

>> print(N/meter)
N/m

>> print((N/meter).in_base_units())
kg/s^2

>> print(2*km / tunits.Value(3, 's'))
0.666666666667 km/s

Static Type Check

TypedUnits provides the ability to statically check the dimensionality of variables and parameters. For example mypy would complain about incompatible types for the following code.

from tunits import Frequency, LengthArray
from tunits.units import meter, km, MHz

def frequency_fn(f: Frequency) -> Frequency:
    return 3*f

x = 2 * meter
x_arr = LengthArray([1, 2], km)
y = 3 * km
f = 7 * MHz

# okay
print(frequency_fn(f))
print(x + y)
print(x_arr - y)

# not okay
print(frequency_fn(x))
print(f + x)
print(x - f)
frequency_fn(x_arr)

$ mypy my_code.py
my_code.py:18: error: Argument 1 to "frequency_fn" has incompatible type "Length"; expected "Frequency"  [arg-type]
my_code.py:19: error: No overload variant of "__add__" of "Value" matches argument type "Length"  [operator]
my_code.py:19: note: Possible overload variants:
my_code.py:19: note:     def __add__(self, int | float | complex | number[Any], /) -> Frequency
my_code.py:19: note:     def __add__(self, ValueArray | list[Any] | tuple[Any] | ndarray[Any, dtype[Any]], /) -> ValueArray
my_code.py:19: note:     def __add__(self, Frequency, /) -> Frequency
my_code.py:20: error: No overload variant of "__sub__" of "Value" matches argument type "Frequency"  [operator]
my_code.py:20: note: Possible overload variants:
my_code.py:20: note:     def __sub__(self, int | float | complex | number[Any], /) -> Length
my_code.py:20: note:     def __sub__(self, list[Any] | tuple[Any] | ndarray[Any, dtype[Any]], /) -> ValueArray
my_code.py:20: note:     def __sub__(self, Length, /) -> Length
my_code.py:21: error: Argument 1 to "frequency_fn" has incompatible type "LengthArray"; expected "Frequency"  [arg-type]
Found 4 errors in 1 file (checked 1 source file)

Serialization support

TypedUnits provides protobuffer serialization support for selected units. Contributions are welcome to increase serialization coverage.

>> from tunits import Frequency
>> from tunits.units import MHz
>>
>> v = 3*MHz
>> msg = v.to_proto()
>> print(msg)
units {
  unit: HERTZ
  scale: MEGA
}
real_value: 3

>> Frequency.from_proto(msg)
Frequency(3.0, 'MHz')

Installation

To install a precompiled wheel (add --pre for prelease version)
```
pip install typedunits # [--pre] 
```

To locally build the latest version from the main branch

pip install git+https://github.com/quantumlib/TypedUnits

For a local editable copy

git clone https://github.com/quantumlib/TypedUnits
cd TypedUnits
pip install -e .

Development and Testing

Clone the repository.
```
git clone https://github.com/quantumlib/TypedUnits

cd TypedUnits
```
All future steps assume you are in the repository's directory.
Install dev environment dependencies.
```
pip install -r dev_tools/dev.env.txt
```
Install TUnits
```
pip install -e .
```
Test.
```
pytest
```

Formatting

dev_tools/format.sh  # to format
dev_tools/format.sh --check  # to verify format

Note: This is not an officially supported Google product

Metadata

Release files for typedunits 0.0.1.dev20250301002457

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for typedunits 0.0.1.dev20250301002457
File	Interpreter	ABI	Platform	Reset
typedunits-0.0.1.dev20250301002457-cp313-cp313-win_amd64.whl 763.9 kB Mar 1, 2025	CPython 3.13	CPython 3.13	Windows x86-64	Details
typedunits-0.0.1.dev20250301002457-cp313-cp313-win32.whl 721.5 kB Mar 1, 2025	CPython 3.13	CPython 3.13	Windows x86-32	Details
typedunits-0.0.1.dev20250301002457-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 2.6 MB Mar 1, 2025	CPython 3.13	CPython 3.13	Linux glibc 2.17+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp313-cp313-macosx_11_0_arm64.whl 791.8 kB Mar 1, 2025	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
typedunits-0.0.1.dev20250301002457-cp313-cp313-macosx_10_13_x86_64.whl 831.8 kB Mar 1, 2025	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp312-cp312-win_amd64.whl 765.2 kB Mar 1, 2025	CPython 3.12	CPython 3.12	Windows x86-64	Details
typedunits-0.0.1.dev20250301002457-cp312-cp312-win32.whl 722.7 kB Mar 1, 2025	CPython 3.12	CPython 3.12	Windows x86-32	Details
typedunits-0.0.1.dev20250301002457-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 2.6 MB Mar 1, 2025	CPython 3.12	CPython 3.12	Linux glibc 2.17+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp312-cp312-macosx_11_0_arm64.whl 799.4 kB Mar 1, 2025	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
typedunits-0.0.1.dev20250301002457-cp312-cp312-macosx_10_13_x86_64.whl 837.3 kB Mar 1, 2025	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp311-cp311-win_amd64.whl 792.6 kB Mar 1, 2025	CPython 3.11	CPython 3.11	Windows x86-64	Details
typedunits-0.0.1.dev20250301002457-cp311-cp311-win32.whl 757.0 kB Mar 1, 2025	CPython 3.11	CPython 3.11	Windows x86-32	Details
typedunits-0.0.1.dev20250301002457-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 2.7 MB Mar 1, 2025	CPython 3.11	CPython 3.11	Linux glibc 2.17+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp311-cp311-macosx_11_0_arm64.whl 816.8 kB Mar 1, 2025	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
typedunits-0.0.1.dev20250301002457-cp311-cp311-macosx_10_9_x86_64.whl 875.7 kB Mar 1, 2025	CPython 3.11	CPython 3.11	macOS 10.9+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp310-cp310-win_amd64.whl 788.7 kB Mar 1, 2025	CPython 3.10	CPython 3.10	Windows x86-64	Details
typedunits-0.0.1.dev20250301002457-cp310-cp310-win32.whl 726.2 kB Mar 1, 2025	CPython 3.10	CPython 3.10	Windows x86-32	Details
typedunits-0.0.1.dev20250301002457-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 2.5 MB Mar 1, 2025	CPython 3.10	CPython 3.10	Linux glibc 2.17+ x86-64	Details
typedunits-0.0.1.dev20250301002457-cp310-cp310-macosx_11_0_arm64.whl 784.0 kB Mar 1, 2025	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
typedunits-0.0.1.dev20250301002457-cp310-cp310-macosx_10_9_x86_64.whl 841.6 kB Mar 1, 2025	CPython 3.10	CPython 3.10	macOS 10.9+ x86-64	Details

Total release size: 22.9 MB

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Size	841.6 kB
Tags	CPython 3.10 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`93c77dcdb8056d16de60f5fe567b65cc525f2ac33f0944bf5e290086b11b6203`
BLAKE2b-256 checksum How to use checksums	`2303b4c337d5bd5b4448201ec604238e966984ee091b2a28093d900de881b441`
Upload date	Mar 1, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.9.21`