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pyproject.toml

+[tool.black]
+line-length = 119
+target-version = ['py36']

setup.cfg

+[isort]
+default_section = FIRSTPARTY
+ensure_newline_before_comments = True
+force_grid_wrap = 0
+include_trailing_comma = True
+known_first_party = accelerate
+known_third_party =
+    numpy
+    torch
+    torch_xla
+
+line_length = 119
+lines_after_imports = 2
+multi_line_output = 3
+use_parentheses = True
+
+[flake8]
+ignore = E203, E722, E501, E741, W503, W605
+max-line-length = 119

setup.py

+# Copyright 2021 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.
+
+from setuptools import setup
+from setuptools import find_packages
+
+extras = {}
+extras["quality"] = ["black ~= 22.0", "isort >= 5.5.4", "flake8 >= 3.8.3"]
+extras["docs"] = []
+extras["test"] = [
+    "pytest",
+    "pytest-xdist",
+    "pytest-subtests",
+    "datasets",
+    "transformers",
+]
+extras["dev"] = extras["quality"] + extras["test"]
+
+extras["sagemaker"] = [
+    "sagemaker",  # boto3 is a required package in sagemaker
+]
+
+setup(
+    name="diffusers",
+    version="0.0.1",
+    description="Diffusers",
+    long_description=open("README.md", "r", encoding="utf-8").read(),
+    long_description_content_type="text/markdown",
+    keywords="deep learning",
+    license="Apache",
+    author="The HuggingFace team",
+    author_email="patrick@huggingface.co",
+    url="https://github.com/huggingface/diffusers",
+    package_dir={"": "src"},
+    packages=find_packages("src"),
+    python_requires=">=3.6.0",
+    install_requires=["numpy>=1.17", "packaging>=20.0", "pyyaml", "torch>=1.4.0"],
+    extras_require=extras,
+    classifiers=[
+        "Development Status :: 5 - Production/Stable",
+        "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 :: 3.6",
+        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    ],
+)
+
+# Release checklist
+# 1. Change the version in __init__.py and setup.py.
+# 2. Commit these changes with the message: "Release: VERSION"
+# 3. Add a tag in git to mark the release: "git tag VERSION -m 'Adds tag VERSION for pypi' "
+#    Push the tag to git: git push --tags origin main
+# 4. Run the following commands in the top-level directory:
+#      python setup.py bdist_wheel
+#      python setup.py sdist
+# 5. Upload the package to the pypi test server first:
+#      twine upload dist/* -r pypitest
+#      twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
+# 6. Check that you can install it in a virtualenv by running:
+#      pip install -i https://testpypi.python.org/pypi diffusers
+#      diffusers env
+#      diffusers test
+# 7. Upload the final version to actual pypi:
+#      twine upload dist/* -r pypi
+# 8. Add release notes to the tag in github once everything is looking hunky-dory.
+# 9. Update the version in __init__.py, setup.py to the new version "-dev" and push to master

src/diffusers.egg-info/PKG-INFO

+Metadata-Version: 2.1
+Name: diffusers
+Version: 0.0.1
+Summary: Diffusers
+Home-page: https://github.com/huggingface/diffusers
+Author: The HuggingFace team
+Author-email: patrick@huggingface.co
+License: Apache
+Keywords: deep learning
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Intended Audience :: Developers
+Classifier: Intended Audience :: Education
+Classifier: Intended Audience :: Science/Research
+Classifier: License :: OSI Approved :: Apache Software License
+Classifier: Operating System :: OS Independent
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.6
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
+Requires-Python: >=3.6.0
+Description-Content-Type: text/markdown
+Provides-Extra: quality
+Provides-Extra: docs
+Provides-Extra: test
+Provides-Extra: dev
+Provides-Extra: sagemaker
+License-File: LICENSE
+
+Super cool library about diffusion models

src/diffusers.egg-info/SOURCES.txt

+LICENSE
+README.md
+pyproject.toml
+setup.cfg
+setup.py
+src/diffusers/__init__.py
+src/diffusers.egg-info/PKG-INFO
+src/diffusers.egg-info/SOURCES.txt
+src/diffusers.egg-info/dependency_links.txt
+src/diffusers.egg-info/requires.txt
+src/diffusers.egg-info/top_level.txt
+src/diffusers/models/__init__.py
+src/diffusers/models/unet.py
+src/diffusers/samplers/__init__.py
\ No newline at end of file

src/diffusers.egg-info/dependency_links.txt

+

src/diffusers.egg-info/requires.txt

+numpy>=1.17
+packaging>=20.0
+pyyaml
+torch>=1.4.0
+
+[dev]
+black~=22.0
+isort>=5.5.4
+flake8>=3.8.3
+pytest
+pytest-xdist
+pytest-subtests
+datasets
+transformers
+
+[docs]
+
+[quality]
+black~=22.0
+isort>=5.5.4
+flake8>=3.8.3
+
+[sagemaker]
+sagemaker
+
+[test]
+pytest
+pytest-xdist
+pytest-subtests
+datasets
+transformers

src/diffusers.egg-info/top_level.txt

+diffusers

src/diffusers/__init__.py

+# flake8: noqa
+# There's no way to ignore "F401 '...' imported but unused" warnings in this
+# module, but to preserve other warnings. So, don't check this module at all.
+
+__version__ = "0.0.1"
+
+from .models import UNetModel

src/diffusers/models/__init__.py

-# Copyright 2022 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.
+# flake8: noqa
+# There's no way to ignore "F401 '...' imported but unused" warnings in this
+# module, but to preserve other warnings. So, don't check this module at all
+
+from .unet import UNetModel

src/diffusers/models/unnet.py → src/diffusers/models/unet.py

@@ -11,3 +11,9 @@
 # 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.
+
+class UNetModel:
+
+    def __init__(self, config):
+        self.config = config
+        print("I can diffuse!")