Skip to main content

A library to check if two complex/nested objects are equal or not

Project description

coola

CI CI Codecov
PYPI version Python BSD-3-Clause Code style: black Doc style: google
Downloads Monthly downloads

Overview

coola is a Python library that provides simple functions to check in a single line if two complex/nested objects are equal or not. coola was initially designed to work with PyTorch Tensors and NumPy ndarray, but it is possible to extend it to support other data structures.

Motivation

Let's imagine you have the following dictionaries that contain both a PyTorch Tensor and a NumPy ndarray. You want to check if the two dictionaries are equal or not. By default, Python does not provide an easy way to check if the two dictionaries are equal or not. It is not possible to use the default equality operator == because it will raise an error. The coola library was developed to fill this gap. coola provides a function objects_are_equal that can indicate if two complex/nested objects are equal or not.

import numpy
import torch

from coola import objects_are_equal

data1 = {"torch": torch.ones(2, 3), "numpy": numpy.zeros((2, 3))}
data2 = {"torch": torch.zeros(2, 3), "numpy": numpy.ones((2, 3))}

objects_are_equal(data1, data2)

coola also provides a function objects_are_allclose that can indicate if two complex/nested objects are equal within a tolerance or not.

from coola import objects_are_allclose

objects_are_allclose(data1, data2, atol=1e-6)

Please check the quickstart page to learn more on how to use coola.

Installation

We highly recommend installing a virtual environment. coola can be installed from pip using the following command:

pip install coola

To make the package as slim as possible, only the minimal packages required to use coola are installed. To include all the packages, you can use the following command:

pip install coola[all]

Please check the get started page to see how to install only some specific packages or other alternatives to install the library.

Contributing

Please check the instructions in CONTRIBUTING.md.

API stability

:warning: While coola is in development stage, no API is guaranteed to be stable from one release to the next. In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release. In practice, this means that upgrading coola to a new version will possibly break any code that was using the old version of coola.

License

coola is licensed under BSD 3-Clause "New" or "Revised" license available in LICENSE file.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

coola-0.0.11.tar.gz (14.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

coola-0.0.11-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file coola-0.0.11.tar.gz.

File metadata

  • Download URL: coola-0.0.11.tar.gz
  • Upload date:
  • Size: 14.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.12 Linux/5.15.0-1039-azure

File hashes

Hashes for coola-0.0.11.tar.gz
Algorithm Hash digest
SHA256 e5f73a261f01d5e7227f9e07d60833a9729391554b4f6db6948adf25b49a7961
MD5 22c4abe33f1093089e62dcbac844d241
BLAKE2b-256 b35cad7a1487584a6adcefa8642d1a9f211304f13baa695b41aafe1e033c9f7a

See more details on using hashes here.

File details

Details for the file coola-0.0.11-py3-none-any.whl.

File metadata

  • Download URL: coola-0.0.11-py3-none-any.whl
  • Upload date:
  • Size: 18.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.10.12 Linux/5.15.0-1039-azure

File hashes

Hashes for coola-0.0.11-py3-none-any.whl
Algorithm Hash digest
SHA256 6744a2a9cedf8ceafcb9058145bcbcc4b60787d52e87238f52e2a4a9c2511716
MD5 6e81794ab1a714fa03bc4ae3d263958d
BLAKE2b-256 ad62525b452131f00172ff4a0161b56348b5f9516f781e7f194ed2f71f8b5513

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page