fastrlock | A fast RLock implementation for CPython

 by   scoder Python Version: 0.8.2 License: MIT

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
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            kandi-support Support

              fastrlock has a low active ecosystem.
              It has 14 star(s) with 3 fork(s). There are 3 watchers for this library.
              There were 1 major release(s) 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

            kandi-Quality Quality

              fastrlock has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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

            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 14:21

            geopandas 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

            Source https://stackoverflow.com/questions/69521034

            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.

            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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            Install
          • PyPI

            pip install fastrlock

          • CLONE
          • HTTPS

            https://github.com/scoder/fastrlock.git

          • CLI

            gh repo clone scoder/fastrlock

          • sshUrl

            git@github.com:scoder/fastrlock.git

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