mirror of
https://github.com/NicolasBohn/NexQuant.git
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Linlang
9dd35307a1
* add test import * format with isort * format with black * merge main * fix pytest error * fix pytest error * fix pytest error * fix pytest error * format with black * fix pytest error * fix pytest error * fix pytest error * fix pytest error * fix pytest error * format with isort * Exclude entrance * Add offline test * auto-lint * update coverage rate --------- Co-authored-by: Young <afe.young@gmail.com>
78 lines
1.2 KiB
Plaintext
78 lines
1.2 KiB
Plaintext
# Requirements for runtime.
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pydantic-settings
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typer[all]
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cython
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scipy
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python-Levenshtein
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scikit-learn
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filelock
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loguru-mypy
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loguru
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fire
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fuzzywuzzy
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openai
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ruamel-yaml
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torch
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torch_geometric
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tabulate # Convert pandas dataframe to markdown table to make it more readable to LLM
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numpy # we use numpy as default data format. So we have to install numpy
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pandas # we use pandas as default data format. So we have to install pandas
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pandarallel # parallelize pandas
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feedparser
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matplotlib
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langchain
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langchain-community
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tiktoken
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pymupdf # Extract shotsreens from pdf
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# azure identity related
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azure.identity
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# PDF related
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pypdf
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azure-core
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azure-ai-formrecognizer
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# TODO: dependencies for implementing factors.
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# I think it is for running insteading of implementing. The dependency should be in
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statsmodels
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# PDF related
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pypdf
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azure-core
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azure-ai-formrecognizer
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# factor implementations
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tables
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# azure identity related
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azure.identity
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# CI Fix Tool
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tree-sitter-python
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tree-sitter
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# Jupyter related
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jupyter
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python-dotenv
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# infrastructure related.
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docker
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# demo related
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streamlit
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plotly
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st-theme
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# kaggle crawler
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selenium
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kaggle
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seaborn
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# This is a temporary package installed to pass the test_import test
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xgboost
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