assertpy | Simple assertion library for unit testing | Unit Testing library
kandi X-RAY | assertpy Summary
kandi X-RAY | assertpy Summary
Simple assertions library for unit testing in Python with a nice fluent API. Supports both Python 2 and 3.
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Top functions reviewed by kandi - BETA
- Create a snapshot of the object .
- Extract values from the item .
- Verify that the value is equal to the other .
- Checks if this value is a subset of superset .
- Verifies that the expression contains the given items .
- Context manager for soft assertions .
- Validate that val is not equal to other .
- Check that the value contains the given keys .
- Assert that the value is in the value .
- Return the contents of a file .
assertpy Key Features
assertpy Examples and Code Snippets
def test_assert():
try:
assert False
except:
pass
def test_pytest_fail():
try:
pytest.fail('failed')
except Exception:
pass
pip freeze > requirements.txt
pip install -r requirements.txt
arrow==0.10.0
assertpy==0.12
beautifulsoup4==4.6.0
begins==0.9
bleach==2.1.1
certifi==2017.11.5
cffi==1.11.2
chardet==3.0.4
Community Discussions
Trending Discussions on assertpy
QUESTION
I am working on an existing Python 3 code-base that provides a setup.py
so the code is installed as a Python library. I am trying to get this internal library installed with its own dependencies (the usual data science ones e.g. pandas
, pyodbc
, sqlalchemy
etc).
I would like to have this internal library to deal with these dependencies and assume that if that library is installed, then all the transitive dependencies are assumed to be installed. I also would like to have the Anaconda (conda
) version of the package rather than the pip
version.
I started with a requirements.txt
, but moved quickly to this field in setup.py
:
ANSWER
Answered 2019-Sep-14 at 13:34pip
doesn't know about conda
, so you cannot build a pip-installable package that pulls in its dependencies from conda channels.
conda
doesn't care about setup.py
, it uses a different format for recording dependencies.
To install your code with conda
, you should create a conda package, and specify your dependencies in a meta.yaml
file. Refer to the documentation of "conda build" for details.
https://docs.conda.io/projects/conda-build/en/latest/resources/define-metadata.html
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install assertpy
Or, if you are a big fan of conda like we are, there is an assertpy-feedstock for Conda-Forge that you can use:.
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