stackprinter | Debugging-friendly exceptions for Python | Code Inspection library
kandi X-RAY | stackprinter Summary
kandi X-RAY | stackprinter Summary
stackprinter is a Python library typically used in Code Quality, Code Inspection applications. stackprinter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install stackprinter' or download it from GitHub, PyPI.
Debugging-friendly exceptions for Python
Debugging-friendly exceptions for Python
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Quality
Security
License
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Support
stackprinter has a medium active ecosystem.
It has 1241 star(s) with 36 fork(s). There are 8 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 6 open issues and 21 have been closed. On average issues are closed in 186 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of stackprinter is 0.2.12
Quality
stackprinter has 0 bugs and 0 code smells.
Security
stackprinter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
stackprinter code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
stackprinter is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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stackprinter 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 are not available. Examples and code snippets are available.
It has 1560 lines of code, 125 functions and 24 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed stackprinter and discovered the below as its top functions. This is intended to give you an instant insight into stackprinter implemented functionality, and help decide if they suit your requirements.
- Format a throwable .
- Formats the stack trace for the given exception .
- Annotate a source_line .
- Get tracing information from a trace or line .
- Convert a source line to a list of tokens .
- Format a value .
- Generate a scope for the source .
- Formats a stack with a format string for formatting .
- Formats an iterable for an iterable .
- Wraps a tracer on stack trace .
Get all kandi verified functions for this library.
stackprinter Key Features
No Key Features are available at this moment for stackprinter.
stackprinter Examples and Code Snippets
Copy
if __name__ == "__main__":
inverse(0)
2019-11-15 10:01:13.703 | ERROR | __main__:inverse:8 - Oups...
Traceback (most recent call last):
File "foo.py", line 6, in inverse
1 / x
ZeroDivisionError: division by zero
2019-11-15 10:11:32.829 | E
Copy
query = insert(balance).values(
[
{
"query_id": item["id"],
"warehouse": item["warehouse"],
"product": item["product"],
}
for item in data
Community Discussions
Trending Discussions on stackprinter
QUESTION
how to translate sqlalchemy query correctly
Asked 2020-Jun-23 at 06:51
all hi!
have a query
...ANSWER
Answered 2020-Jun-23 at 06:51found a solution. Maybe someone will help. it looks like this
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install stackprinter
You can install using 'pip install stackprinter' or download it from GitHub, PyPI.
You can use stackprinter 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.
You can use stackprinter 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:
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