assertpy | Simple assertion library for unit testing | Unit Testing library

 by   assertpy Python Version: 1.1 License: BSD-3-Clause

kandi X-RAY | assertpy Summary

kandi X-RAY | assertpy Summary

assertpy is a Python library typically used in Testing, Unit Testing applications. assertpy has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However assertpy has 7 bugs. You can install using 'pip install assertpy' or download it from GitHub, PyPI.

Simple assertions library for unit testing in Python with a nice fluent API. Supports both Python 2 and 3.
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            kandi-support Support

              assertpy has a low active ecosystem.
              It has 299 star(s) with 54 fork(s). There are 25 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 5 open issues and 86 have been closed. On average issues are closed in 108 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of assertpy is 1.1

            kandi-Quality Quality

              assertpy has 7 bugs (0 blocker, 0 critical, 5 major, 2 minor) and 95 code smells.

            kandi-Security Security

              assertpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              assertpy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              assertpy is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              assertpy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              assertpy saves you 2671 person hours of effort in developing the same functionality from scratch.
              It has 5792 lines of code, 795 functions and 49 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed assertpy and discovered the below as its top functions. This is intended to give you an instant insight into assertpy implemented functionality, and help decide if they suit your requirements.
            • 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 .
            Get all kandi verified functions for this library.

            assertpy Key Features

            No Key Features are available at this moment for assertpy.

            assertpy Examples and Code Snippets

            Handling exception in pytest fixture and pytest.fail vs assert in general
            Pythondot img1Lines of Code : 12dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            def test_assert():
                try:
                    assert False
                except:
                    pass
            
            def test_pytest_fail():
                try:
                    pytest.fail('failed')
                except Exception:
                    pass
            
            Unit Tests not Running
            Pythondot img2Lines of Code : 2dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            python testmonster.py
            
            Jupyter notebook library versions check
            Pythondot img3Lines of Code : 23dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            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

            QUESTION

            setup.py with dependecies installed by conda (not pip)
            Asked 2019-Sep-14 at 13:34

            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 13:34

            pip 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

            Source https://stackoverflow.com/questions/57821903

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install assertpy

            The assertpy library is available via PyPI. Just install with:.
            Or, if you are a big fan of conda like we are, there is an assertpy-feedstock for Conda-Forge that you can use:.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install assertpy

          • CLONE
          • HTTPS

            https://github.com/assertpy/assertpy.git

          • CLI

            gh repo clone assertpy/assertpy

          • sshUrl

            git@github.com:assertpy/assertpy.git

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