autosoft-dev / docly Goto Github PK
View Code? Open in Web Editor NEWAutomatically generate docstrings for your python functions
License: MIT License
docly's People
Contributors
![dependabot[bot] avatar](https://avatars.githubusercontent.com/in/29110?v=4 "dependabot[bot]")
Stargazers
Watchers
docly's Issues
ERROR: Failed building wheel for tokenizers, even thought setuptools-rust installed
Hi!
while tryoing to
pip install docly, getting this error:
Building wheel for tokenizers (PEP 517) ... error
ERROR: Command errored out with exit status 1:
command: /Users/krisku/opt/miniconda3/envs/auto_doc/bin/python /Users/krisku/opt/miniconda3/envs/auto_doc/lib/python3.9/site-packages/pip/_vendor/pep517/_in_process.py build_wheel /var/folders/mr/5nhwtm3n4dvfdkh3sf2xs41h0000gn/T/tmpb3b95crr
cwd: /private/var/folders/mr/5nhwtm3n4dvfdkh3sf2xs41h0000gn/T/pip-install-syhlo38v/tokenizers_eb68e965c7654f6bbe50cefd6fff55af
Complete output (36 lines):
running bdist_wheel
running build
running build_py
creating build
creating build/lib
creating build/lib/tokenizers
copying tokenizers/__init__.py -> build/lib/tokenizers
creating build/lib/tokenizers/models
copying tokenizers/models/__init__.py -> build/lib/tokenizers/models
creating build/lib/tokenizers/decoders
copying tokenizers/decoders/__init__.py -> build/lib/tokenizers/decoders
creating build/lib/tokenizers/normalizers
copying tokenizers/normalizers/__init__.py -> build/lib/tokenizers/normalizers
creating build/lib/tokenizers/pre_tokenizers
copying tokenizers/pre_tokenizers/__init__.py -> build/lib/tokenizers/pre_tokenizers
creating build/lib/tokenizers/processors
copying tokenizers/processors/__init__.py -> build/lib/tokenizers/processors
creating build/lib/tokenizers/trainers
copying tokenizers/trainers/__init__.py -> build/lib/tokenizers/trainers
creating build/lib/tokenizers/implementations
copying tokenizers/implementations/byte_level_bpe.py -> build/lib/tokenizers/implementations
copying tokenizers/implementations/sentencepiece_bpe.py -> build/lib/tokenizers/implementations
copying tokenizers/implementations/base_tokenizer.py -> build/lib/tokenizers/implementations
copying tokenizers/implementations/__init__.py -> build/lib/tokenizers/implementations
copying tokenizers/implementations/char_level_bpe.py -> build/lib/tokenizers/implementations
copying tokenizers/implementations/bert_wordpiece.py -> build/lib/tokenizers/implementations
copying tokenizers/__init__.pyi -> build/lib/tokenizers
copying tokenizers/models/__init__.pyi -> build/lib/tokenizers/models
copying tokenizers/decoders/__init__.pyi -> build/lib/tokenizers/decoders
copying tokenizers/normalizers/__init__.pyi -> build/lib/tokenizers/normalizers
copying tokenizers/pre_tokenizers/__init__.pyi -> build/lib/tokenizers/pre_tokenizers
copying tokenizers/processors/__init__.pyi -> build/lib/tokenizers/processors
copying tokenizers/trainers/__init__.pyi -> build/lib/tokenizers/trainers
running build_ext
running build_rust
error: Can not find Rust compiler
----------------------------------------
ERROR: Failed building wheel for tokenizers
Failed to build tokenizers
ERROR: Could not build wheels for tokenizers which use PEP 517 and cannot be installed directly
even though the setuptools-rust installed .
MacOS Catalina 10.15.7
Python 3.9.1
conda 4.9.2 + pip 21.0.1
I'll appreciate your help.
Cryptic "incompatible language" error
Hi,
I am trying to run docly on a WSL instance and I am getting the following error:
Engine Loaded. ✔
Traceback (most recent call last):
File "/mnt/c/Projects/GANDLF/venv_linux/bin/docly-gen", line 8, in <module>
sys.exit(main())
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/docly/cli/docly_gen.py", line 237, in main
table_rows, docstr_loc, ipynb_files = _process(args, model, tokenizer, ts_lib_path, config)
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/halo/halo.py", line 132, in wrapped
return f(*args, **kwargs)
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/docly/cli/docly_gen.py", line 116, in _process
for code_tokens, params, start_index, function_name, ds in process_file(f, ts_lib_path, args.use_old_model):
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/docly/ioutils/__init__.py", line 125, in process_file
result, parser_obj = py_parser.parse(file_path, ts_lib_path)
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/docly/parser/parser.py", line 11, in parse
python_parser = PythonParser(library_loc=tslib_path)
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/tree_hugger/core/parser/python/python_parser.py", line 35, in __init__
super(PythonParser, self).__init__('python', 'python_queries', PythonParser.QUERY_FILE_PATH, library_loc)
File "/mnt/c/Projects/GANDLF/venv_linux/lib/python3.7/site-packages/tree_hugger/core/code_parser.py", line 41, in __init__
self.parser.set_language(self.language)
ValueError: Incompatible Language version 11. Must be between 13 and 13I followed the installation process on the website, after creating a virtual environment using conda:
conda create -p ./venv_linux python=3.7 -yCheers,
Sarthak
What does Segmentation fault mean?
- It fails on specific file, what does it mean?
- If some file fails, the whole procedure stop when it's applied on a directory. I think it should run anyway through other files whether if failed on specific file or not
Windows 10 support
I installed the pip packages without any issues.
I then get a message:
There is no model. Downloading (maybe because you chose to use the newer model)
C:\Users\Windows\.docly\model\pytorch_model_new.bin: 707MB [01:22, 8.61MB/s]
Download complete ✔
And then this error:
===== OS version not supported ===== ❌
Environment information:
OS Name: Microsoft Windows 10 Pro
OS Version: 10.0.18363 N/A Build 18363
OS Manufacturer: Microsoft Corporation
OS Configuration: Standalone Workstation
OS Build Type: Multiprocessor Free
System Model: PCX0DX
System Type: x64-based PC
Processor(s): 1 Processor(s) Installed.
[01]: Intel64 Family 6 Model 165 Stepping 2 GenuineIntel ~2304 Mhz
BIOS Version: INSYDE Corp. 1.07.05LAM, 5/20/2020
Python Version:
Python 3.6.12 :: Anaconda, Inc.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.