Metadata-Version: 2.1
Name: lightning-fast
Version: 0.0.115
Summary: Fast Tools
Home-page: https://github.com/xuqiushi/lightning_fast
Author: yingxiongxqs
Author-email: yingxiongxqs@126.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Topic :: Text Processing
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: pyyaml
Requires-Dist: python-dateutil
Requires-Dist: conan
Provides-Extra: full
Requires-Dist: luigi ; extra == 'full'
Requires-Dist: scikit-learn ; extra == 'full'
Requires-Dist: joblib ; extra == 'full'
Requires-Dist: pandas ; extra == 'full'
Requires-Dist: numpy ; extra == 'full'
Requires-Dist: aiosmtplib ; extra == 'full'
Requires-Dist: python-dateutil ; extra == 'full'
Requires-Dist: pymongo ; extra == 'full'
Requires-Dist: redis ; extra == 'full'
Requires-Dist: motor ; extra == 'full'

# lightning_fast

# Project Dependence

1. gcc
2. cmake

# Test(Old)
1. cd c_source
2. cmake compile cmake --build ./cmake-build-debug --target test -- -j 3
3. cd cmake-build-debug
4. make
5. copy liblabel_encoder.dylib to lightning_fast/c_dynamic_library
6. run lightning_fast/main.py
7. lightning_fast/tmp test result

# Test(New)
just run make run_test

# install as package
1. need cmake and gcc and conan
2. pip from git


