untp | A command line tool to split TexturePacker published files | Icon library
kandi X-RAY | untp Summary
kandi X-RAY | untp Summary
untp is a Python library typically used in User Interface, Icon applications. untp has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install untp' or download it from GitHub, PyPI.
A command line tool to split TexturePacker published files.
A command line tool to split TexturePacker published files.
Support
Quality
Security
License
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Support
untp has a low active ecosystem.
It has 145 star(s) with 57 fork(s). There are 18 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 19 have been closed. On average issues are closed in 240 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of untp is 1.1.8
Quality
untp has 0 bugs and 0 code smells.
Security
untp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
untp code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
untp 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
untp 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.
untp saves you 169 person hours of effort in developing the same functionality from scratch.
It has 418 lines of code, 30 functions and 5 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed untp and discovered the below as its top functions. This is intended to give you an instant insight into untp implemented functionality, and help decide if they suit your requirements.
- Initialize the gui
- Parse plist data
- Unpack a PNG file
- Parse FFT data
- Decrypt a PVR file
- Convert PVR to png
- Generate the encryption key
- Decrypt PVR content
- Parse a file
- Parse PVR header
- Recursively unpack a directory
- Map the values of a list
- Check if an image file is a protection nvr
- Convert a long integer to an unsigned integer
- Returns the image extension
- Logs text
- Unpack a PNG file
- Decrypts a PVR file
Get all kandi verified functions for this library.
untp Key Features
No Key Features are available at this moment for untp.
untp Examples and Code Snippets
No Code Snippets are available at this moment for untp.
Community Discussions
Trending Discussions on untp
QUESTION
Read Nested JSON Data in DStrem in pyspark
Asked 2021-May-08 at 16:54
I have written following code to stream data from Tweepy API. And I am getting data inside stream object. But unable to get streamp["user"]["followers_count"] but don't know how to get it. I also tried jsonLines = lines.flatMap(lambda json_str:json.loads(json_str)) but no help.
ANSWER
Answered 2021-May-08 at 16:54You can map the json string to a tuple of the values that you want to extract:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install untp
You can install using 'pip install untp' or download it from GitHub, PyPI.
You can use untp 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 untp 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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