Skip to main content

abstract_test_package is a Python package that facilitates testing with abstract scenarios. Utilizing PyTest, it offers extra utilities to streamline the creation and execution of abstract tests.

Project description

abstract_test_package

This is a Python package that facilitates testing with abstract scenarios. Utilizing PyTest, it offers extra utilities to streamline the creation and execution of abstract tests.

You can locate this package in the abstract_essentials project at github.io/abstract_endeavors/abstract_essentials/abstract_test_package/.

Installation

You can install the abstract_test_package module via pip:

pip install abstract_test_package

Or directly from the source:

git clone https://github.io/abstract_endeavors/abstract_essentials/abstract_test_package/
cd abstract_test_package
python setup.py install

Usage

Below is a usage example of the abstract_test_package:

from abstract_test_package import create_test, execute_test

test = create_test(name="Test 1", scenario=[...])
execute_test(test)

This example creates an abstract test and then executes it.

Documentation

The abstract_test_package module provides the following classes and functions:

create_test(name: str = 'Test', scenario: list = [...])

Generates an abstract test scenario with the provided name and details.

execute_test(test: any)

Executes the given abstract test scenario.

validate_test(test: any) -> bool

Verifies if the given object is a valid test scenario.

calculate_test_results(test: any) -> dict

Calculates the results of a given abstract test scenario.

compare_test_results(test1: any, test2: any) -> bool

Compares two test scenarios and returns True if their results are equivalent, False otherwise.

... and many more!

Please refer to the source code for the complete list of classes and functions provided by the module, as well as their detailed documentation.

Contributing

Contributions are welcome! Please fork this repository and open a pull request to add snippets, make grammar tweaks, etc.

Contact

If you have any questions, feel free to reach out to us at partners@abstractendeavors.com.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Authors

  • putkoff - main developer

This README file was last updated on May 29, 2023.

Project details


Download files

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

Source Distribution

abstract_test_package-0.0.23.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

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

abstract_test_package-0.0.23-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file abstract_test_package-0.0.23.tar.gz.

File metadata

  • Download URL: abstract_test_package-0.0.23.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for abstract_test_package-0.0.23.tar.gz
Algorithm Hash digest
SHA256 957079591b4c7cefdf84c9315f23e4bc34ea06888e3c5377d292ff27e546eb9e
MD5 d3c4dbf8524324c60e022ffd5690d9b4
BLAKE2b-256 c10df0fbf8a827917fd6f8abcc92a9410e87c1793db9dab286e4cd0225fc5909

See more details on using hashes here.

File details

Details for the file abstract_test_package-0.0.23-py3-none-any.whl.

File metadata

File hashes

Hashes for abstract_test_package-0.0.23-py3-none-any.whl
Algorithm Hash digest
SHA256 59246519075c83fcc69c1c1e6192d5fa2e4ba9ccb72ede68749386b7f128491d
MD5 f5f55878893dbb8cc1cdeffae59898de
BLAKE2b-256 aa6da08dbec7509ff60894ae501582dba7e868f7f26a15f2c915c6c30ee78280

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