LibCST | concrete syntax tree parser and serializer library | Parser library

 by   Instagram Python Version: 1.4.0 License: Non-SPDX

kandi X-RAY | LibCST Summary

kandi X-RAY | LibCST Summary

LibCST is a Python library typically used in Utilities, Parser applications. LibCST has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However LibCST has a Non-SPDX License. You can install using 'pip install LibCST' or download it from GitHub, PyPI.

A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree
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            kandi-support Support

              LibCST has a medium active ecosystem.
              It has 1171 star(s) with 145 fork(s). There are 38 watchers for this library.
              There were 4 major release(s) in the last 12 months.
              There are 83 open issues and 179 have been closed. On average issues are closed in 139 days. There are 29 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of LibCST is 1.4.0

            kandi-Quality Quality

              LibCST has 0 bugs and 0 code smells.

            kandi-Security Security

              LibCST has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              LibCST code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              LibCST has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              LibCST releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              LibCST saves you 57870 person hours of effort in developing the same functionality from scratch.
              It has 75170 lines of code, 4201 functions and 297 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed LibCST and discovered the below as its top functions. This is intended to give you an instant insight into LibCST implemented functionality, and help decide if they suit your requirements.
            • Tokenize lines from Python 2 .
            • Tokenize a list of lines .
            • Implementation of codemod command .
            • Convert argslist into argslist .
            • Execute a transform on files .
            • Create a token collection .
            • Check if value is of type type .
            • Execute a transform .
            • Recursive representation of a node .
            • Return a sequenceMatchesResult .
            Get all kandi verified functions for this library.

            LibCST Key Features

            No Key Features are available at this moment for LibCST.

            LibCST Examples and Code Snippets

            Hypothesis 5.x
            Pythondot img1Lines of Code : 0dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            5.49.0 - 2021-01-07
            5.48.0 - 2021-01-06
            5.47.0 - 2021-01-05
            5.46.0 - 2021-01-04
            5.45.0 - 2021-01-04
            5.44.0 - 2021-01-03
            5.43.9 - 2021-01-02
            5.43.8 - 2021-01-02
            5.43.7 - 2021-01-02
            5.43.6 - 2021-01-02
            5.43.5 - 2021-01-01
            5.43.4 - 2020-12-24
            5.43.3 - 2  
            Hypothesis 4.x
            Pythondot img2Lines of Code : 0dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            4.57.1 - 2019-12-29
            4.57.0 - 2019-12-28
            4.56.3 - 2019-12-22
            4.56.2 - 2019-12-21
            4.56.1 - 2019-12-19
            4.56.0 - 2019-12-18
            4.55.4 - 2019-12-18
            4.55.3 - 2019-12-18
            4.55.2 - 2019-12-17
            4.55.1 - 2019-12-16
            4.55.0 - 2019-12-16
            4.54.2 - 2019-12-16
            4.54.1 - 2  
            Replacing all functions with 'pass', syncing private to public github repo
            Pythondot img3Lines of Code : 61dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # String that LibCST should look for in code which indicates that the
            # module is generated code.
            
            generated_code_marker: '@generated'
            
            # Command line and arguments for invoking a code formatter. Anything
            # specified here must be capable o
            AttributeError: module 'google.cloud.vision' has no attribute 'types'
            Pythondot img4Lines of Code : 34dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import io
            import os
            
            # Imports the Google Cloud client library
            from google.cloud import vision
            
            # Instantiates a client
            client = vision.ImageAnnotatorClient()
            
            # The name of the image file to annotate
            file_name = os.path.abspath('resources
            Python EBNF Syntax to Match a Decorator
            Pythondot img5Lines of Code : 24dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            PATTERN = "decorator< '@' 'patch' '(' [any] ')' any* >"
            
            PATTERN = """
                decorator< '@' 'patch' '(' [any] ')' any* >
                | decorator< '@' dotted_name< 'mock' '.' 'patch' > '(' [any] ')' any* &
            Python Libcst: Unable to generate code from the node in visitor class
            Pythondot img6Lines of Code : 45dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import libcst as cst
            
            code_example = """
            from ast import parse
            threshold  =  1
            print(threshold)
            """
            
            class CodeVisitor(cst.CSTVisitor):
                def visit_Assign(self, node: cst.Assign) -> bool:
                    print("--> NODE TREE: \n{}".format(
            In Python, given a line number, how do I know which scope it belongs to?
            Pythondot img7Lines of Code : 38dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import ast
            
            def find_definition(linenum):
                functions = {}
                with open('input.py') as file:
                    tree = ast.parse(file.read())
            
                    for item in ast.walk(tree):
                        if isinstance(item, (ast.FunctionDef, ast.AsyncFunctionD
            How can I convert python code into a parse tree and back into the original code?
            Pythondot img8Lines of Code : 65dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            In [1]: import libcst as cst
            
            In [2]: code = 'hi = 0'
            
            In [3]: tree = cst.parse_module(code)
            
            In [4]: print(tree)
            Module(
                body=[
                    SimpleStatementLine(
                        body=[
                            Assign(
                                targets=[
                

            Community Discussions

            QUESTION

            Python comment-preserving parsing using only builtin libraries?
            Asked 2022-Mar-03 at 18:08

            I wrote a library using just ast and inspect libraries to parse and emit [uses astor on Python < 3.9] internal Python constructs.

            Just realised that I really need to preserve comments afterall. Preferably without resorting to a RedBaron or LibCST; as I just need to emit the unaltered commentary; is there a clean and concise way of comment-preserving parsing/emitting Python source with just stdlib?

            ...

            ANSWER

            Answered 2021-Dec-26 at 01:35

            Comments can be preserved by merging them back into the generated source code by capturing them with the tokenizer.

            Given a toy program in a program variable, we can demonstrate how comments get lost in the AST:

            Source https://stackoverflow.com/questions/70373628

            QUESTION

            Replacing all functions with 'pass', syncing private to public github repo
            Asked 2022-Jan-31 at 11:58

            I'd like to create a repository for a proprietary python module, similarly how this python package mlfinlabs. They have emptied out all functions like this:

            ...

            ANSWER

            Answered 2022-Jan-31 at 11:58
            1. Github action to sync from private to public repo. Using this github action: https://github.com/marketplace/actions/github-repo-sync

            2. libcst (project site) to strip functions afterwards (also as a github action step). Below is the codemod that you should put either

            • in the libcst folder (\Lib\site-packages\libcst\codemod\commands)
            • in your repo directory and then specify it .libcst.codemod.yaml (this is needed if you run the codemod on github actions):

            Source https://stackoverflow.com/questions/70881458

            QUESTION

            Dataproc Cluster creation is failing with PIP error "Could not build wheels"
            Asked 2022-Jan-24 at 13:04

            We use to spin cluster with below configurations. It used to run fine till last week but now failing with error ERROR: Failed cleaning build dir for libcst Failed to build libcst ERROR: Could not build wheels for libcst which use PEP 517 and cannot be installed directly

            ...

            ANSWER

            Answered 2022-Jan-19 at 21:50

            Seems you need to upgrade pip, see this question.

            But there can be multiple pips in a Dataproc cluster, you need to choose the right one.

            1. For init actions, at cluster creation time, /opt/conda/default is a symbolic link to either /opt/conda/miniconda3 or /opt/conda/anaconda, depending on which Conda env you choose, the default is Miniconda3, but in your case it is Anaconda. So you can run either /opt/conda/default/bin/pip install --upgrade pip or /opt/conda/anaconda/bin/pip install --upgrade pip.

            2. For custom images, at image creation time, you want to use the explicit full path, /opt/conda/anaconda/bin/pip install --upgrade pip for Anaconda, or /opt/conda/miniconda3/bin/pip install --upgrade pip for Miniconda3.

            So, you can simply use /opt/conda/anaconda/bin/pip install --upgrade pip for both init actions and custom images.

            Source https://stackoverflow.com/questions/70743642

            QUESTION

            AttributeError: module 'google.cloud.vision' has no attribute 'types'
            Asked 2020-Dec-23 at 02:19

            I did the setup for using the Google Vision API via Python, but it doesn't work and I don't find any good solutions. No matter what I do, I always get "AttributeError: module 'google.cloud.vision' has no attribute 'types'"...

            Here is an example Code I use (Authentication etc. is done).

            ...

            ANSWER

            Answered 2020-Oct-06 at 13:26

            I think you should follow the official documentation:

            Vision Client Libraries

            Source https://stackoverflow.com/questions/64226174

            QUESTION

            Python Libcst: Unable to generate code from the node in visitor class
            Asked 2020-Jul-28 at 11:43

            I am searching for a way to get code from the node in the visitor. Example:

            ...

            ANSWER

            Answered 2020-Jul-28 at 11:43

            After spending sometime, I figured out the way to solve the problem. Here is the code.

            Code:

            Source https://stackoverflow.com/questions/62771691

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install LibCST

            You can install using 'pip install LibCST' or download it from GitHub, PyPI.
            You can use LibCST 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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            Install
          • PyPI

            pip install libcst

          • CLONE
          • HTTPS

            https://github.com/Instagram/LibCST.git

          • CLI

            gh repo clone Instagram/LibCST

          • sshUrl

            git@github.com:Instagram/LibCST.git

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