pyforge | Python mocking | Mock library

by vmalloc Python Version: 1.3.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyforge Summary

pyforge is a Python library typically used in Testing, Mock applications. pyforge has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyforge has a Non-SPDX License. You can install using 'pip install pyforge' or download it from GitHub, PyPI.

Python mocking and stubbing library

Support

Quality

Security

License

Reuse

Support

pyforge has a low active ecosystem.

It has 17 star(s) with 10 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 5 have been closed. On average issues are closed in 5 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyforge is 1.3.0

Quality

pyforge has 0 bugs and 0 code smells.

Security

pyforge has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyforge code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyforge has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyforge releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pyforge saves you 1669 person hours of effort in developing the same functionality from scratch.

It has 3703 lines of code, 716 functions and 61 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyforge and discovered the below as its top functions. This is intended to give you an instant insight into pyforge implemented functionality, and help decide if they suit your requirements.

Pop a matching object from the queue
Removes a matching object from the out - of - band collection
Build the argument list
Iterate through args and default values
Determine if the given method is bound
Remove the matching node from the queue
Check that a special method call is callable
Check if the mocked class is callable
Context manager that replaces context with attr_name
Generate a mock
Replaces the attribute with the given attribute name
Add a stub to an object
Creates a placeholder placeholder for a special method
Get a method from the mock
Binds the given method stub to the given method stub
Set the method description
Creates a mock with the given attributes
Get an attribute from the mock
Returns the name of self
Describes the class
Verify that the root group is present

Get all kandi verified functions for this library.

pyforge Key Features

No Key Features are available at this moment for pyforge.

pyforge Examples and Code Snippets

No Code Snippets are available at this moment for pyforge.

Community Discussions

Trending Discussions on pyforge

Jupyter Lab and Notebook Problem: Kernel Error

QUESTION

Jupyter Lab and Notebook Problem: Kernel Error

Asked 2019-Oct-28 at 09:51

It appears that somehow one of my kernels is deleted. And perhaps that's why I am getting this error. How could I possibly fix it? Can I reinstall something (the kernel in the base environment perhaps)?

If no better option is available, I would try reinstalling anaconda altogether as a last resort according to: Default kernel in jupyter notebook (Python3) not working.

I have tried using the following:

Current List of Kernels ...

ANSWER

Answered 2019-Oct-22 at 21:58

Solved the problem by editing the relevant kernelspec: kernel.json file after fresh installation of Anaconda.

Solution in Detail

As reported earlier, I found that I had two kernelspecs. (command: jupyter kernelspec list)

python3: C:\Users\raysu\AppData\Roaming\jupyter\kernels\python3
vpython: C:\ProgramData\jupyter\kernels\vpython

The kernelspec is a .json file that maintains kernel-specifications for jupyter-notebook/lab to launch a certain kernel. Fortunately, the kernel vpython was functioning and that helped me narrow down the source of the problem located inside kernelpsec: python3. I had to correct the path to the python executable (python.exe) and that solved the issue.

I would like to mention that in this case the following two resources came handy. I got more clarity in where the problem could be, after I saw the typical-structure of the kernelspec document.

Note: However, since I cannot test this theory, I would ask anyone else in a similar problem, to first make a copy of the old kernel.json file and then update the path to python.exe file. If that resolves the kernel error, then reinstalling Anaconda altogether may not be necessary.

Long story short:

If your jupyter notebook/lab environment shows you kernel error, most likely the source of the problem is inside the kernelspec file: kernel.json and the path to python.exe is incorrect. This could be a more likely scenario, if the same kernel error persists even after fresh re-installation of anaconda/jupyter-notebook/lab.

For instance, in my case, the python3-kernelspec was located at:

Source https://stackoverflow.com/questions/58459493

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

Vulnerabilities

No vulnerabilities reported

Install pyforge

You can install using 'pip install pyforge' or download it from GitHub, PyPI.
You can use pyforge like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: