Name | hypothesis-auto JSON |
Version |
1.1.5
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home_page | |
Summary | Extends Hypothesis to add fully automatic testing of type annotated functions |
upload_time | 2023-01-19 05:22:16 |
maintainer | |
docs_url | None |
author | Timothy Crosley |
requires_python | >=3.6 |
license | MIT |
keywords |
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[![hypothesis-auto - Fully Automatic Tests for Type Annotated Functions Using Hypothesis.](https://raw.github.com/timothycrosley/hypothesis-auto/master/art/logo_large.png)](https://timothycrosley.github.io/hypothesis-auto/)
_________________
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_________________
[Read Latest Documentation](https://timothycrosley.github.io/hypothesis-auto/) - [Browse GitHub Code Repository](https://github.com/timothycrosley/hypothesis-auto/)
_________________
**hypothesis-auto** is an extension for the [Hypothesis](https://hypothesis.readthedocs.io/en/latest/) project that enables fully automatic tests for type annotated functions.
[![Hypothesis Pytest Auto Example](https://raw.github.com/timothycrosley/hypothesis-auto/master/art/demo.gif)](https://github.com/timothycrosley/hypothesis-auto/blob/master/art/demo.gif)
Key Features:
* **Type Annotation Powered**: Utilize your function's existing type annotations to build dozens of test cases automatically.
* **Low Barrier**: Start utilizing property-based testing in the lowest barrier way possible. Just run `auto_test(FUNCTION)` to run dozens of test.
* **pytest Compatible**: Like Hypothesis itself, hypothesis-auto has built-in compatibility with the popular [pytest](https://docs.pytest.org/en/latest/) testing framework. This means that you can turn your automatically generated tests into individual pytest test cases with one line.
* **Scales Up**: As you find your self needing to customize your auto_test cases, you can easily utilize all the features of [Hypothesis](https://hypothesis.readthedocs.io/en/latest/), including custom strategies per a parameter.
## Installation:
To get started - install `hypothesis-auto` into your projects virtual environment:
`pip3 install hypothesis-auto`
OR
`poetry add hypothesis-auto`
OR
`pipenv install hypothesis-auto`
## Usage Examples:
!!! warning
In old usage examples you will see `_` prefixed parameters like `_auto_verify=`. This was done to avoid conflicting with existing function parameters.
Based on community feedback the project switched to `_` suffixes, such as `auto_verify_=` to keep the likely hood of conflicting low while
avoiding the connotation of private parameters.
### Framework independent usage
#### Basic `auto_test` usage:
```python3
from hypothesis_auto import auto_test
def add(number_1: int, number_2: int = 1) -> int:
return number_1 + number_2
auto_test(add) # 50 property based scenarios are generated and ran against add
auto_test(add, auto_runs_=1_000) # Let's make that 1,000
```
#### Adding an allowed exception:
```python3
from hypothesis_auto import auto_test
def divide(number_1: int, number_2: int) -> int:
return number_1 / number_2
auto_test(divide)
-> 1012 raise the_error_hypothesis_found
1013
1014 for attrib in dir(test):
<ipython-input-2-65a3aa66e9f9> in divide(number_1, number_2)
1 def divide(number_1: int, number_2: int) -> int:
----> 2 return number_1 / number_2
3
0/0
ZeroDivisionError: division by zero
auto_test(divide, auto_allow_exceptions_=(ZeroDivisionError, ))
```
#### Using `auto_test` with a custom verification method:
```python3
from hypothesis_auto import Scenario, auto_test
def add(number_1: int, number_2: int = 1) -> int:
return number_1 + number_2
def my_custom_verifier(scenario: Scenario):
if scenario.kwargs["number_1"] > 0 and scenario.kwargs["number_2"] > 0:
assert scenario.result > scenario.kwargs["number_1"]
assert scenario.result > scenario.kwargs["number_2"]
elif scenario.kwargs["number_1"] < 0 and scenario.kwargs["number_2"] < 0:
assert scenario.result < scenario.kwargs["number_1"]
assert scenario.result < scenario.kwargs["number_2"]
else:
assert scenario.result >= min(scenario.kwargs.values())
assert scenario.result <= max(scenario.kwargs.values())
auto_test(add, auto_verify_=my_custom_verifier)
```
Custom verification methods should take a single [Scenario](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/tester/#scenario) and raise an exception to signify errors.
For the full set of parameters, you can pass into auto_test see its [API reference documentation](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/tester/).
### pytest usage
#### Using `auto_pytest_magic` to auto-generate dozens of pytest test cases:
```python3
from hypothesis_auto import auto_pytest_magic
def add(number_1: int, number_2: int = 1) -> int:
return number_1 + number_2
auto_pytest_magic(add)
```
#### Using `auto_pytest` to run dozens of test case within a temporary directory:
```python3
from hypothesis_auto import auto_pytest
def add(number_1: int, number_2: int = 1) -> int:
return number_1 + number_2
@auto_pytest()
def test_add(test_case, tmpdir):
tmpdir.mkdir().chdir()
test_case()
```
#### Using `auto_pytest_magic` with a custom verification method:
```python3
from hypothesis_auto import Scenario, auto_pytest
def add(number_1: int, number_2: int = 1) -> int:
return number_1 + number_2
def my_custom_verifier(scenario: Scenario):
if scenario.kwargs["number_1"] > 0 and scenario.kwargs["number_2"] > 0:
assert scenario.result > scenario.kwargs["number_1"]
assert scenario.result > scenario.kwargs["number_2"]
elif scenario.kwargs["number_1"] < 0 and scenario.kwargs["number_2"] < 0:
assert scenario.result < scenario.kwargs["number_1"]
assert scenario.result < scenario.kwargs["number_2"]
else:
assert scenario.result >= min(scenario.kwargs.values())
assert scenario.result <= max(scenario.kwargs.values())
auto_pytest_magic(add, auto_verify_=my_custom_verifier)
```
Custom verification methods should take a single [Scenario](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/tester/#scenario) and raise an exception to signify errors.
For the full reference of the pytest integration API see the [API reference documentation](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/pytest/).
## Why Create hypothesis-auto?
I wanted a no/low resistance way to start incorporating property-based tests across my projects. Such a solution that also encouraged the use of type hints was a win/win for me.
I hope you too find `hypothesis-auto` useful!
~Timothy Crosley
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"description": "[![hypothesis-auto - Fully Automatic Tests for Type Annotated Functions Using Hypothesis.](https://raw.github.com/timothycrosley/hypothesis-auto/master/art/logo_large.png)](https://timothycrosley.github.io/hypothesis-auto/)\n_________________\n\n[![PyPI version](https://badge.fury.io/py/hypothesis-auto.svg)](http://badge.fury.io/py/hypothesis-auto)\n[![Build Status](https://travis-ci.org/timothycrosley/hypothesis-auto.svg?branch=master)](https://travis-ci.org/timothycrosley/hypothesis-auto)\n[![codecov](https://codecov.io/gh/timothycrosley/hypothesis-auto/branch/master/graph/badge.svg)](https://codecov.io/gh/timothycrosley/hypothesis-auto)\n[![Join the chat at https://gitter.im/timothycrosley/hypothesis-auto](https://badges.gitter.im/timothycrosley/hypothesis-auto.svg)](https://gitter.im/timothycrosley/hypothesis-auto?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n[![License](https://img.shields.io/github/license/mashape/apistatus.svg)](https://pypi.python.org/pypi/hypothesis-auto/)\n[![Downloads](https://pepy.tech/badge/hypothesis-auto)](https://pepy.tech/project/hypothesis-auto)\n_________________\n\n[Read Latest Documentation](https://timothycrosley.github.io/hypothesis-auto/) - [Browse GitHub Code Repository](https://github.com/timothycrosley/hypothesis-auto/)\n_________________\n\n**hypothesis-auto** is an extension for the [Hypothesis](https://hypothesis.readthedocs.io/en/latest/) project that enables fully automatic tests for type annotated functions.\n\n[![Hypothesis Pytest Auto Example](https://raw.github.com/timothycrosley/hypothesis-auto/master/art/demo.gif)](https://github.com/timothycrosley/hypothesis-auto/blob/master/art/demo.gif)\n\nKey Features:\n\n* **Type Annotation Powered**: Utilize your function's existing type annotations to build dozens of test cases automatically.\n* **Low Barrier**: Start utilizing property-based testing in the lowest barrier way possible. Just run `auto_test(FUNCTION)` to run dozens of test.\n* **pytest Compatible**: Like Hypothesis itself, hypothesis-auto has built-in compatibility with the popular [pytest](https://docs.pytest.org/en/latest/) testing framework. This means that you can turn your automatically generated tests into individual pytest test cases with one line.\n* **Scales Up**: As you find your self needing to customize your auto_test cases, you can easily utilize all the features of [Hypothesis](https://hypothesis.readthedocs.io/en/latest/), including custom strategies per a parameter.\n\n## Installation:\n\nTo get started - install `hypothesis-auto` into your projects virtual environment:\n\n`pip3 install hypothesis-auto`\n\nOR\n\n`poetry add hypothesis-auto`\n\nOR\n\n`pipenv install hypothesis-auto`\n\n## Usage Examples:\n\n!!! warning\n In old usage examples you will see `_` prefixed parameters like `_auto_verify=`. This was done to avoid conflicting with existing function parameters.\n Based on community feedback the project switched to `_` suffixes, such as `auto_verify_=` to keep the likely hood of conflicting low while\n avoiding the connotation of private parameters.\n\n### Framework independent usage\n\n#### Basic `auto_test` usage:\n\n```python3\nfrom hypothesis_auto import auto_test\n\n\ndef add(number_1: int, number_2: int = 1) -> int:\n return number_1 + number_2\n\n\nauto_test(add) # 50 property based scenarios are generated and ran against add\nauto_test(add, auto_runs_=1_000) # Let's make that 1,000\n```\n\n#### Adding an allowed exception:\n\n```python3\nfrom hypothesis_auto import auto_test\n\n\ndef divide(number_1: int, number_2: int) -> int:\n return number_1 / number_2\n\nauto_test(divide)\n\n-> 1012 raise the_error_hypothesis_found\n 1013\n 1014 for attrib in dir(test):\n\n<ipython-input-2-65a3aa66e9f9> in divide(number_1, number_2)\n 1 def divide(number_1: int, number_2: int) -> int:\n----> 2 return number_1 / number_2\n 3\n\n0/0\n\nZeroDivisionError: division by zero\n\n\nauto_test(divide, auto_allow_exceptions_=(ZeroDivisionError, ))\n```\n\n#### Using `auto_test` with a custom verification method:\n\n```python3\nfrom hypothesis_auto import Scenario, auto_test\n\n\ndef add(number_1: int, number_2: int = 1) -> int:\n return number_1 + number_2\n\n\ndef my_custom_verifier(scenario: Scenario):\n if scenario.kwargs[\"number_1\"] > 0 and scenario.kwargs[\"number_2\"] > 0:\n assert scenario.result > scenario.kwargs[\"number_1\"]\n assert scenario.result > scenario.kwargs[\"number_2\"]\n elif scenario.kwargs[\"number_1\"] < 0 and scenario.kwargs[\"number_2\"] < 0:\n assert scenario.result < scenario.kwargs[\"number_1\"]\n assert scenario.result < scenario.kwargs[\"number_2\"]\n else:\n assert scenario.result >= min(scenario.kwargs.values())\n assert scenario.result <= max(scenario.kwargs.values())\n\n\nauto_test(add, auto_verify_=my_custom_verifier)\n```\n\nCustom verification methods should take a single [Scenario](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/tester/#scenario) and raise an exception to signify errors.\n\nFor the full set of parameters, you can pass into auto_test see its [API reference documentation](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/tester/).\n\n### pytest usage\n\n#### Using `auto_pytest_magic` to auto-generate dozens of pytest test cases:\n\n```python3\nfrom hypothesis_auto import auto_pytest_magic\n\n\ndef add(number_1: int, number_2: int = 1) -> int:\n return number_1 + number_2\n\n\nauto_pytest_magic(add)\n```\n\n#### Using `auto_pytest` to run dozens of test case within a temporary directory:\n\n```python3\nfrom hypothesis_auto import auto_pytest\n\n\ndef add(number_1: int, number_2: int = 1) -> int:\n return number_1 + number_2\n\n\n@auto_pytest()\ndef test_add(test_case, tmpdir):\n tmpdir.mkdir().chdir()\n test_case()\n```\n\n#### Using `auto_pytest_magic` with a custom verification method:\n\n```python3\nfrom hypothesis_auto import Scenario, auto_pytest\n\n\ndef add(number_1: int, number_2: int = 1) -> int:\n return number_1 + number_2\n\n\ndef my_custom_verifier(scenario: Scenario):\n if scenario.kwargs[\"number_1\"] > 0 and scenario.kwargs[\"number_2\"] > 0:\n assert scenario.result > scenario.kwargs[\"number_1\"]\n assert scenario.result > scenario.kwargs[\"number_2\"]\n elif scenario.kwargs[\"number_1\"] < 0 and scenario.kwargs[\"number_2\"] < 0:\n assert scenario.result < scenario.kwargs[\"number_1\"]\n assert scenario.result < scenario.kwargs[\"number_2\"]\n else:\n assert scenario.result >= min(scenario.kwargs.values())\n assert scenario.result <= max(scenario.kwargs.values())\n\n\nauto_pytest_magic(add, auto_verify_=my_custom_verifier)\n```\n\nCustom verification methods should take a single [Scenario](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/tester/#scenario) and raise an exception to signify errors.\n\nFor the full reference of the pytest integration API see the [API reference documentation](https://timothycrosley.github.io/hypothesis-auto/reference/hypothesis_auto/pytest/).\n\n## Why Create hypothesis-auto?\n\nI wanted a no/low resistance way to start incorporating property-based tests across my projects. 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