234 lines
8.5 KiB
Python
234 lines
8.5 KiB
Python
# Copyright 2022 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/main/setup.py
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To create the package for pypi.
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1. Run `make pre-release` (or `make pre-patch` for a patch release) then run `make fix-copies` to fix the index of the
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documentation.
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If releasing on a special branch, copy the updated README.md on the main branch for your the commit you will make
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for the post-release and run `make fix-copies` on the main branch as well.
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2. Run Tests for Amazon Sagemaker. The documentation is located in `./tests/sagemaker/README.md`, otherwise @philschmid.
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3. Unpin specific versions from setup.py that use a git install.
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4. Checkout the release branch (v<RELEASE>-release, for example v4.19-release), and commit these changes with the
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message: "Release: <RELEASE>" and push.
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5. Wait for the tests on main to be completed and be green (otherwise revert and fix bugs)
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6. Add a tag in git to mark the release: "git tag v<RELEASE> -m 'Adds tag v<RELEASE> for pypi' "
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Push the tag to git: git push --tags origin v<RELEASE>-release
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7. Build both the sources and the wheel. Do not change anything in setup.py between
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creating the wheel and the source distribution (obviously).
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For the wheel, run: "python setup.py bdist_wheel" in the top level directory.
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(this will build a wheel for the python version you use to build it).
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For the sources, run: "python setup.py sdist"
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You should now have a /dist directory with both .whl and .tar.gz source versions.
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8. Check that everything looks correct by uploading the package to the pypi test server:
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twine upload dist/* -r pypitest
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(pypi suggest using twine as other methods upload files via plaintext.)
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You may have to specify the repository url, use the following command then:
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twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
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Check that you can install it in a virtualenv by running:
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pip install -i https://testpypi.python.org/pypi diffusers
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Check you can run the following commands:
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python -c "from diffusers import pipeline; classifier = pipeline('text-classification'); print(classifier('What a nice release'))"
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python -c "from diffusers import *"
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9. Upload the final version to actual pypi:
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twine upload dist/* -r pypi
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10. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
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11. Run `make post-release` (or, for a patch release, `make post-patch`). If you were on a branch for the release,
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you need to go back to main before executing this.
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"""
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import re
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from distutils.core import Command
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from setuptools import find_packages, setup
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# IMPORTANT:
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# 1. all dependencies should be listed here with their version requirements if any
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# 2. once modified, run: `make deps_table_update` to update src/diffusers/dependency_versions_table.py
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_deps = [
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"Pillow",
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"black~=22.0,>=22.3",
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"filelock",
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"flake8>=3.8.3",
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"huggingface-hub",
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"isort>=5.5.4",
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"numpy",
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"pytest",
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"regex!=2019.12.17",
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"requests",
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"torch>=1.4",
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"tensorboard",
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"modelcards==0.1.4"
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]
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# this is a lookup table with items like:
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#
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# tokenizers: "huggingface-hub==0.8.0"
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# packaging: "packaging"
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#
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# some of the values are versioned whereas others aren't.
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deps = {b: a for a, b in (re.findall(r"^(([^!=<>~]+)(?:[!=<>~].*)?$)", x)[0] for x in _deps)}
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# since we save this data in src/diffusers/dependency_versions_table.py it can be easily accessed from
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# anywhere. If you need to quickly access the data from this table in a shell, you can do so easily with:
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#
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# python -c 'import sys; from diffusers.dependency_versions_table import deps; \
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# print(" ".join([ deps[x] for x in sys.argv[1:]]))' tokenizers datasets
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#
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# Just pass the desired package names to that script as it's shown with 2 packages above.
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#
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# If diffusers is not yet installed and the work is done from the cloned repo remember to add `PYTHONPATH=src` to the script above
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#
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# You can then feed this for example to `pip`:
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#
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# pip install -U $(python -c 'import sys; from diffusers.dependency_versions_table import deps; \
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# print(" ".join([ deps[x] for x in sys.argv[1:]]))' tokenizers datasets)
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#
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def deps_list(*pkgs):
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return [deps[pkg] for pkg in pkgs]
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class DepsTableUpdateCommand(Command):
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"""
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A custom distutils command that updates the dependency table.
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usage: python setup.py deps_table_update
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"""
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description = "build runtime dependency table"
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user_options = [
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# format: (long option, short option, description).
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("dep-table-update", None, "updates src/diffusers/dependency_versions_table.py"),
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]
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def initialize_options(self):
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pass
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def finalize_options(self):
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pass
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def run(self):
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entries = "\n".join([f' "{k}": "{v}",' for k, v in deps.items()])
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content = [
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"# THIS FILE HAS BEEN AUTOGENERATED. To update:",
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"# 1. modify the `_deps` dict in setup.py",
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"# 2. run `make deps_table_update``",
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"deps = {",
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entries,
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"}",
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"",
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]
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target = "src/diffusers/dependency_versions_table.py"
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print(f"updating {target}")
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with open(target, "w", encoding="utf-8", newline="\n") as f:
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f.write("\n".join(content))
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extras = {}
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extras = {}
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extras["quality"] = ["black ~= 22.0", "isort >= 5.5.4", "flake8 >= 3.8.3"]
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extras["docs"] = []
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extras["test"] = [
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"pytest",
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]
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extras["dev"] = extras["quality"] + extras["test"]
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install_requires = [
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deps["filelock"],
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deps["huggingface-hub"],
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deps["numpy"],
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deps["regex"],
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deps["requests"],
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deps["torch"],
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deps["Pillow"],
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deps["tensorboard"],
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deps["modelcards"],
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]
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setup(
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name="diffusers",
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version="0.0.4",
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description="Diffusers",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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keywords="deep learning",
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license="Apache",
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author="The HuggingFace team",
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author_email="patrick@huggingface.co",
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url="https://github.com/huggingface/diffusers",
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package_dir={"": "src"},
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packages=find_packages("src"),
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include_package_data=True,
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python_requires=">=3.6.0",
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install_requires=install_requires,
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extras_require=extras,
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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cmdclass={"deps_table_update": DepsTableUpdateCommand},
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)
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# Release checklist
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# 1. Change the version in __init__.py and setup.py.
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# 2. Commit these changes with the message: "Release: Release"
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# 3. Add a tag in git to mark the release: "git tag RELEASE -m 'Adds tag RELEASE for pypi' "
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# Push the tag to git: git push --tags origin main
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# 4. Run the following commands in the top-level directory:
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# python setup.py bdist_wheel
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# python setup.py sdist
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# 5. Upload the package to the pypi test server first:
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# twine upload dist/* -r pypitest
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# twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
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# 6. Check that you can install it in a virtualenv by running:
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# pip install -i https://testpypi.python.org/pypi diffusers
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# diffusers env
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# diffusers test
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# 7. Upload the final version to actual pypi:
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# twine upload dist/* -r pypi
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# 8. Add release notes to the tag in github once everything is looking hunky-dory.
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# 9. Update the version in __init__.py, setup.py to the new version "-dev" and push to master
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