LibCST | concrete syntax tree parser and serializer library | Parser library
kandi X-RAY | LibCST Summary
kandi X-RAY | LibCST Summary
A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree
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Top functions reviewed by kandi - BETA
- 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 .
LibCST Key Features
LibCST Examples and Code Snippets
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
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
# 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
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
PATTERN = "decorator< '@' 'patch' '(' [any] ')' any* >"
PATTERN = """
decorator< '@' 'patch' '(' [any] ')' any* >
| decorator< '@' dotted_name< 'mock' '.' 'patch' > '(' [any] ')' any* &
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(
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
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
Trending Discussions on LibCST
QUESTION
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 01:35Comments 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:
QUESTION
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 11:58Github action to sync from private to public repo. Using this github action: https://github.com/marketplace/actions/github-repo-sync
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):
QUESTION
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 21:50Seems you need to upgrade pip
, see this question.
But there can be multiple pip
s in a Dataproc cluster, you need to choose the right one.
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
.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.
QUESTION
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 13:26I think you should follow the official documentation:
QUESTION
I am searching for a way to get code from the node in the visitor. Example:
...ANSWER
Answered 2020-Jul-28 at 11:43After spending sometime, I figured out the way to solve the problem. Here is the code.
Code:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install LibCST
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.
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