automatic import of python-fastcore

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diff --git a/.gitignore b/.gitignore
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+/fastcore-1.5.29.tar.gz
diff --git a/python-fastcore.spec b/python-fastcore.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-fastcore
+Version:	1.5.29
+Release:	1
+Summary:	Python supercharged for fastai development
+License:	Apache Software License 2.0
+URL:		https://github.com/fastai/fastcore/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/1f/62/bb0d880d3a9306a6a042ab41ea61b082f8d2c378019f8b3d37693b9a0b44/fastcore-1.5.29.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pip
+Requires:	python3-packaging
+Requires:	python3-numpy
+Requires:	python3-nbdev
+Requires:	python3-matplotlib
+Requires:	python3-pillow
+Requires:	python3-torch
+Requires:	python3-pandas
+Requires:	python3-jupyterlab
+
+%description
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+Python is a powerful, dynamic language. Rather than bake everything into
+the language, it lets the programmer customize it to make it work for
+them. `fastcore` uses this flexibility to add to Python features
+inspired by other languages we’ve loved, like multiple dispatch from
+Julia, mixins from Ruby, and currying, binding, and more from Haskell.
+It also adds some “missing features” and clean up some rough edges in
+the Python standard library, such as simplifying parallel processing,
+and bringing ideas from NumPy over to Python’s `list` type.
+## Getting started
+To install fastcore run: `conda install fastcore -c fastai` (if you use
+Anaconda, which we recommend) or `pip install fastcore`. For an
+[editable
+install](https://stackoverflow.com/questions/35064426/when-would-the-e-editable-option-be-useful-with-pip-install),
+clone this repo and run: `pip install -e ".[dev]"`. fastcore is tested
+to work on Ubuntu, macOS and Windows (versions tested are those show
+with the `-latest` suffix
+[here](https://docs.github.com/en/actions/reference/specifications-for-github-hosted-runners#supported-runners-and-hardware-resources).
+`fastcore` contains many features, including:
+- `fastcore.test`: Simple testing functions
+- `fastcore.foundation`: Mixins, delegation, composition, and more
+- `fastcore.xtras`: Utility functions to help with functional-style
+  programming, parallel processing, and more
+- `fastcore.dispatch`: Multiple dispatch methods
+- `fastcore.transform`: Pipelines of composed partially reversible
+  transformations
+To get started, we recommend you read through [the fastcore
+tour](https://fastcore.fast.ai/tour.html).
+## Contributing
+After you clone this repository, please run `nbdev_install_hooks` in
+your terminal. This sets up git hooks, which clean up the notebooks to
+remove the extraneous stuff stored in the notebooks (e.g. which cells
+you ran) which causes unnecessary merge conflicts.
+To run the tests in parallel, launch `nbdev_test`.
+Before submitting a PR, check that the local library and notebooks
+match.
+- If you made a change to the notebooks in one of the exported cells,
+  you can export it to the library with `nbdev_prepare`.
+- If you made a change to the library, you can export it back to the
+  notebooks with `nbdev_update`.
+
+%package -n python3-fastcore
+Summary:	Python supercharged for fastai development
+Provides:	python-fastcore
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-fastcore
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+Python is a powerful, dynamic language. Rather than bake everything into
+the language, it lets the programmer customize it to make it work for
+them. `fastcore` uses this flexibility to add to Python features
+inspired by other languages we’ve loved, like multiple dispatch from
+Julia, mixins from Ruby, and currying, binding, and more from Haskell.
+It also adds some “missing features” and clean up some rough edges in
+the Python standard library, such as simplifying parallel processing,
+and bringing ideas from NumPy over to Python’s `list` type.
+## Getting started
+To install fastcore run: `conda install fastcore -c fastai` (if you use
+Anaconda, which we recommend) or `pip install fastcore`. For an
+[editable
+install](https://stackoverflow.com/questions/35064426/when-would-the-e-editable-option-be-useful-with-pip-install),
+clone this repo and run: `pip install -e ".[dev]"`. fastcore is tested
+to work on Ubuntu, macOS and Windows (versions tested are those show
+with the `-latest` suffix
+[here](https://docs.github.com/en/actions/reference/specifications-for-github-hosted-runners#supported-runners-and-hardware-resources).
+`fastcore` contains many features, including:
+- `fastcore.test`: Simple testing functions
+- `fastcore.foundation`: Mixins, delegation, composition, and more
+- `fastcore.xtras`: Utility functions to help with functional-style
+  programming, parallel processing, and more
+- `fastcore.dispatch`: Multiple dispatch methods
+- `fastcore.transform`: Pipelines of composed partially reversible
+  transformations
+To get started, we recommend you read through [the fastcore
+tour](https://fastcore.fast.ai/tour.html).
+## Contributing
+After you clone this repository, please run `nbdev_install_hooks` in
+your terminal. This sets up git hooks, which clean up the notebooks to
+remove the extraneous stuff stored in the notebooks (e.g. which cells
+you ran) which causes unnecessary merge conflicts.
+To run the tests in parallel, launch `nbdev_test`.
+Before submitting a PR, check that the local library and notebooks
+match.
+- If you made a change to the notebooks in one of the exported cells,
+  you can export it to the library with `nbdev_prepare`.
+- If you made a change to the library, you can export it back to the
+  notebooks with `nbdev_update`.
+
+%package help
+Summary:	Development documents and examples for fastcore
+Provides:	python3-fastcore-doc
+%description help
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+Python is a powerful, dynamic language. Rather than bake everything into
+the language, it lets the programmer customize it to make it work for
+them. `fastcore` uses this flexibility to add to Python features
+inspired by other languages we’ve loved, like multiple dispatch from
+Julia, mixins from Ruby, and currying, binding, and more from Haskell.
+It also adds some “missing features” and clean up some rough edges in
+the Python standard library, such as simplifying parallel processing,
+and bringing ideas from NumPy over to Python’s `list` type.
+## Getting started
+To install fastcore run: `conda install fastcore -c fastai` (if you use
+Anaconda, which we recommend) or `pip install fastcore`. For an
+[editable
+install](https://stackoverflow.com/questions/35064426/when-would-the-e-editable-option-be-useful-with-pip-install),
+clone this repo and run: `pip install -e ".[dev]"`. fastcore is tested
+to work on Ubuntu, macOS and Windows (versions tested are those show
+with the `-latest` suffix
+[here](https://docs.github.com/en/actions/reference/specifications-for-github-hosted-runners#supported-runners-and-hardware-resources).
+`fastcore` contains many features, including:
+- `fastcore.test`: Simple testing functions
+- `fastcore.foundation`: Mixins, delegation, composition, and more
+- `fastcore.xtras`: Utility functions to help with functional-style
+  programming, parallel processing, and more
+- `fastcore.dispatch`: Multiple dispatch methods
+- `fastcore.transform`: Pipelines of composed partially reversible
+  transformations
+To get started, we recommend you read through [the fastcore
+tour](https://fastcore.fast.ai/tour.html).
+## Contributing
+After you clone this repository, please run `nbdev_install_hooks` in
+your terminal. This sets up git hooks, which clean up the notebooks to
+remove the extraneous stuff stored in the notebooks (e.g. which cells
+you ran) which causes unnecessary merge conflicts.
+To run the tests in parallel, launch `nbdev_test`.
+Before submitting a PR, check that the local library and notebooks
+match.
+- If you made a change to the notebooks in one of the exported cells,
+  you can export it to the library with `nbdev_prepare`.
+- If you made a change to the library, you can export it back to the
+  notebooks with `nbdev_update`.
+
+%prep
+%autosetup -n fastcore-1.5.29
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-fastcore -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.5.29-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..c8fabc0
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+3210ba2fc813aecaf714a693d5616a3a  fastcore-1.5.29.tar.gz