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Add skeleton deps
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lewtun committed Oct 26, 2023
1 parent 4123791 commit 14ffdca
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31 changes: 31 additions & 0 deletions .github/workflows/quality.yml
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name: Quality

on:
push:
branches:
- main
- v*-release
pull_request:
branches:
- main

jobs:

check_code_quality:
name: Check code quality
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Setup Python environment
uses: actions/setup-python@v2
with:
python-version: 3.10.10
- name: Install dependencies
run: |
python -m pip install --upgrade pip
python -m pip install ".[quality]"
- name: Code quality
run: |
make quality
44 changes: 44 additions & 0 deletions Makefile
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.PHONY: style quality

# make sure to test the local checkout in scripts and not the pre-installed one (don't use quotes!)
export PYTHONPATH = src

check_dirs := src tests scripts templates

style:
python -m black --line-length 119 --target-version py310 $(check_dirs) setup.py
python -m isort $(check_dirs) setup.py

quality:
python -m black --check --line-length 119 --target-version py310 $(check_dirs) setup.py
python -m isort --check-only $(check_dirs) setup.py
python -m flake8 --max-line-length 119 $(check_dirs) setup.py


# Release stuff

pre-release:
python src/alignment/utils/release.py

pre-patch:
python src/alignment/utils/release.py --patch

post-release:
python src/alignment/utils/release.py --post_release

post-patch:
python src/alignment/utils/release.py --post_release --patch

wheels:
python setup.py bdist_wheel && python setup.py sdist

wheels_clean:
rm -rf build && rm -rf dist

pypi_upload:
python -m pip install twine
twine upload dist/* -r pypi

pypi_test_upload:
python -m pip install twine
twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
41 changes: 41 additions & 0 deletions setup.cfg
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[isort]
default_section = FIRSTPARTY
ensure_newline_before_comments = True
force_grid_wrap = 0
include_trailing_comma = True
known_first_party = alignment
known_third_party =
transformers
datasets
fugashi
git
h5py
matplotlib
nltk
numpy
packaging
pandas
psutil
pytest
rouge_score
sacrebleu
seqeval
sklearn
streamlit
torch
tqdm

line_length = 119
lines_after_imports = 2
multi_line_output = 3
use_parentheses = True

[flake8]
ignore = E203, E501, E741, W503, W605
max-line-length = 119
per-file-ignores =
# imported but unused
__init__.py: F401

[tool:pytest]
doctest_optionflags=NUMBER NORMALIZE_WHITESPACE ELLIPSIS
136 changes: 136 additions & 0 deletions setup.py
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# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Adapted from huggingface/transformers: https://github.com/huggingface/transformers/blob/21a2d900eceeded7be9edc445b56877b95eda4ca/setup.py


import re
import shutil
from pathlib import Path

from setuptools import find_packages, setup


# Remove stale alignment.egg-info directory to avoid https://github.com/pypa/pip/issues/5466
stale_egg_info = Path(__file__).parent / "alignment.egg-info"
if stale_egg_info.exists():
print(
(
"Warning: {} exists.\n\n"
"If you recently updated alignment, this is expected,\n"
"but it may prevent alignment from installing in editable mode.\n\n"
"This directory is automatically generated by Python's packaging tools.\n"
"I will remove it now.\n\n"
"See https://github.com/pypa/pip/issues/5466 for details.\n"
).format(stale_egg_info)
)
shutil.rmtree(stale_egg_info)


# IMPORTANT: all dependencies should be listed here with their version requirements, if any.
# * If a dependency is fast-moving (e.g. transformers), pin to the exact version
_deps = [
"accelerate==0.23.0",
"bitsandbytes==0.41.1",
"black==23.1.0",
"datasets==2.12.0",
"deepspeed==0.9.5",
"einops==0.6.1",
"evaluate==0.4.0",
"flake8>=6.0.0",
"huggingface-hub>=0.14.1,<1.0",
"isort>=5.12.0",
"ninja==1.11.1",
"numpy>=1.24.2",
"packaging>=23.0",
"parameterized>=0.9.0",
"peft==0.5.0",
"protobuf<=3.20.2", # Needed to avoid conflicts with `transformers`
"pytest",
"safetensors==0.3.3",
"tensorboard",
"torch==2.0.1",
"transformers @ git+https://github.com/huggingface/transformers.git@b3961f7291307ee877ef1a4d057949597d805220",
"trl @ git+https://github.com/huggingface/trl.git@1e56ff0f166888973d69cd9d56be60a9f8edfedb", # TODO bump to next release, added for NEFTune
"tqdm>=4.64.1",
]

# this is a lookup table with items like:
#
# tokenizers: "tokenizers==0.9.4"
# packaging: "packaging"
#
# some of the values are versioned whereas others aren't.
deps = {b: a for a, b in (re.findall(r"^(([^!=<>~ \[\]]+)(?:\[[^\]]+\])?(?:[!=<>~ ].*)?$)", x)[0] for x in _deps)}


def deps_list(*pkgs):
return [deps[pkg] for pkg in pkgs]


extras = {}
extras["tests"] = deps_list("pytest", "parameterized")
extras["torch"] = deps_list("torch")
extras["quality"] = deps_list("black", "isort", "flake8")
extras["dev"] = extras["quality"] + extras["tests"]

# core dependencies shared across the whole project - keep this to a bare minimum :)
install_requires = [
deps["accelerate"],
deps["bitsandbytes"],
deps["einops"],
deps["evaluate"],
deps["datasets"],
deps["deepspeed"],
deps["huggingface-hub"],
deps["ninja"],
deps["numpy"],
deps["packaging"], # utilities from PyPA to e.g., compare versions
deps["peft"],
deps["protobuf"],
deps["safetensors"],
deps["tensorboard"],
deps["tqdm"], # progress bars in model download and training scripts
deps["transformers"],
]

setup(
name="alignment",
version="0.2.0.dev0", # expected format is one of x.y.z.dev0, or x.y.z.rc1 or x.y.z (no to dashes, yes to dots)
author="The Hugging Face team (past and future)",
author_email="lewis@huggingface.co",
description="The Alignment Handbook",
long_description=open("README.md", "r", encoding="utf-8").read(),
long_description_content_type="text/markdown",
keywords="nlp deep learning rlhf llm",
license="Apache",
url="https://github.com/huggingface/alignment",
package_dir={"": "src"},
packages=find_packages("src"),
zip_safe=False,
extras_require=extras,
python_requires=">=3.10.9",
install_requires=install_requires,
classifiers=[
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
],
)

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