onelinerizer | Shamelessly convert any Python 2 script | QRCode Processing library
kandi X-RAY | onelinerizer Summary
kandi X-RAY | onelinerizer Summary
onelinerizer is a Python library typically used in Utilities, QRCode Processing applications. onelinerizer 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 onelinerizer' or download it from GitHub, PyPI.
Shamelessly convert any Python 2 script into a terrible single line of code
Shamelessly convert any Python 2 script into a terrible single line of code
Support
Quality
Security
License
Reuse
Support
onelinerizer has a medium active ecosystem.
It has 1499 star(s) with 120 fork(s). There are 36 watchers for this library.
It had no major release in the last 12 months.
There are 9 open issues and 18 have been closed. On average issues are closed in 67 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of onelinerizer is 1.0.4
Quality
onelinerizer has 0 bugs and 0 code smells.
Security
onelinerizer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
onelinerizer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
onelinerizer is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
onelinerizer 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.
Installation instructions are not available. Examples and code snippets are available.
onelinerizer saves you 949 person hours of effort in developing the same functionality from scratch.
It has 2163 lines of code, 187 functions and 129 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed onelinerizer and discovered the below as its top functions. This is intended to give you an instant insight into onelinerizer implemented functionality, and help decide if they suit your requirements.
- Main entry point .
- Visit an AugAssign .
- Generate the initial initialization code for the given node .
- Provides a function with substitutions .
- Renders a template into a string .
- Parse the given string as a delimiter .
- Assigns a component to the given value
- Generate a lambda function .
- Get a full item .
- Returns the concatenation of this object .
Get all kandi verified functions for this library.
onelinerizer Key Features
No Key Features are available at this moment for onelinerizer.
onelinerizer Examples and Code Snippets
Copy
[__after() for self.arg.domain in [(parsed_url.netloc)]][0]
self.arg.domain = parsed_url.netloc
__after()
if parsed_url.netloc and not self.argv.domain:
self.arg.domain = parsed_url.net
Community Discussions
Trending Discussions on onelinerizer
QUESTION
How to make my small code of oneliner into multiliner in python3?
Asked 2020-Oct-21 at 00:03
I mistakely onelinerized a piece of code, by using this Onelineizer and now i am stuck trying to make it multiliner. I need to make it readable but i cant do it with my current knowledge.
...ANSWER
Answered 2020-Oct-21 at 00:03Onelinerizer uses a list comprehension to translate assignment statements:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install onelinerizer
You can install using 'pip install onelinerizer' or download it from GitHub, PyPI.
You can use onelinerizer 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 onelinerizer 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:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page