fastrlock | A fast RLock implementation for CPython
kandi X-RAY | fastrlock Summary
kandi X-RAY | fastrlock Summary
fastrlock is a Python library. fastrlock 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 fastrlock' or download it from GitHub, PyPI.
A fast RLock implementation for CPython
A fast RLock implementation for CPython
Support
Quality
Security
License
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Support
fastrlock has a low active ecosystem.
It has 14 star(s) with 3 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 0 open issues and 7 have been closed. On average issues are closed in 27 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of fastrlock is 0.8.2
Quality
fastrlock has 0 bugs and 0 code smells.
Security
fastrlock has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
fastrlock code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
fastrlock 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
fastrlock 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.
It has 524 lines of code, 47 functions and 6 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed fastrlock and discovered the below as its top functions. This is intended to give you an instant insight into fastrlock implemented functionality, and help decide if they suit your requirements.
- Find Appveyor artifacts .
- Download a wheel .
- A context manager .
- Download GitHub files .
- Round iterables .
- Unlock the lock .
- Releases the lock .
- Unlock the lock .
- Unlock the lock .
- Download and yield wheel names .
Get all kandi verified functions for this library.
fastrlock Key Features
No Key Features are available at this moment for fastrlock.
fastrlock Examples and Code Snippets
No Code Snippets are available at this moment for fastrlock.
Community Discussions
Trending Discussions on fastrlock
QUESTION
Multipoint(df['geometry']) key error from dataframe but key exist. KeyError: 13 geopandas
Asked 2021-Oct-11 at 14:51
data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data
I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.
...ANSWER
Answered 2021-Oct-11 at 14:21geopandas 0.10.1
- have noted that your data is on kaggle, so start by sourcing it
- there really is only one issue
shapely.geometry.MultiPoint()
constructor does not work with a filtered series. Pass it a numpy array instead and it works. - full code below, have randomly selected a point to serve as
gpdPoint
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fastrlock
You can install using 'pip install fastrlock' or download it from GitHub, PyPI.
You can use fastrlock 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 fastrlock 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 .
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