automatic import of python-jupyter-cacheopeneuler20.03

3 files changed, 380 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
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+/jupyter-cache-0.5.0.tar.gz
diff --git a/python-jupyter-cache.spec b/python-jupyter-cache.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-jupyter-cache
+Version:	0.5.0
+Release:	1
+Summary:	A defined interface for working with a cache of jupyter notebooks.
+License:	MIT
+URL:		https://github.com/executablebooks/jupyter-cache
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b3/07/feded9f29b7ae087e5b49b6f93f74c59f444300c2b226801e8417ae83a17/jupyter-cache-0.5.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-attrs
+Requires:	python3-click
+Requires:	python3-importlib-metadata
+Requires:	python3-nbclient
+Requires:	python3-nbformat
+Requires:	python3-pyyaml
+Requires:	python3-sqlalchemy
+Requires:	python3-tabulate
+Requires:	python3-click-log
+Requires:	python3-pre-commit
+Requires:	python3-nbdime
+Requires:	python3-jupytext
+Requires:	python3-myst-nb
+Requires:	python3-sphinx-book-theme
+Requires:	python3-sphinx-copybutton
+Requires:	python3-nbdime
+Requires:	python3-coverage
+Requires:	python3-ipykernel
+Requires:	python3-jupytext
+Requires:	python3-matplotlib
+Requires:	python3-nbformat
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-pytest-regressions
+Requires:	python3-sympy
+
+%description
+# jupyter-cache
+
+[![Github-CI][github-ci]][github-link]
+[![Coverage Status][codecov-badge]][codecov-link]
+[![Documentation Status][rtd-badge]][rtd-link]
+[![Code style: black][black-badge]][black-link]
+[![PyPI][pypi-badge]][pypi-link]
+
+A defined interface for working with a cache of jupyter notebooks.
+
+## Why use jupyter-cache?
+
+If you have a number of notebooks whose execution outputs you want to ensure are kept up to date, without having to re-execute them every time (particularly for long running code, or text-based formats that do not store the outputs).
+
+The notebooks must have deterministic execution outputs:
+
+- You use the same environment to run them (e.g. the same installed packages)
+- They run no non-deterministic code (e.g. random numbers)
+- They do not depend on external resources (e.g. files or network connections) that change over time
+
+For example, it is utilised by [jupyter-book](https://jupyterbook.org/content/execute.html#caching-the-notebook-execution), to allow for fast document re-builds.
+
+## Install
+
+```bash
+pip install jupyter-cache
+```
+
+For development:
+
+```bash
+git clone https://github.com/executablebooks/jupyter-cache
+cd jupyter-cache
+git checkout develop
+pip install -e .[cli,code_style,testing]
+```
+
+See the documentation for usage.
+
+## Development
+
+Some desired requirements (not yet all implemented):
+
+- Persistent
+- Separates out "edits to content" from "edits to code cells". Cell
+  rearranges and code cell changes should require a re-execution. Content changes should not.
+- Allow parallel access to notebooks (for execution)
+- Store execution statistics/reports
+- Store external assets: Notebooks being executed often require external assets: importing scripts/data/etc. These are prepared by the users.
+- Store execution artefacts: created during execution
+- A transparent and robust cache invalidation: imagine the user updating an external dependency or a Python module, or checking out a different git branch.
+
+## Contributing
+
+jupyter-cache follows the [Executable Book Contribution Guide](https://executablebooks.org/en/latest/contributing.html). We'd love your help!
+
+### Code Style
+
+Code style is tested using [flake8](http://flake8.pycqa.org),
+with the configuration set in `.flake8`,
+and code formatted with [black](https://github.com/ambv/black).
+
+Installing with `jupyter-cache[code_style]` makes the [pre-commit](https://pre-commit.com/)
+package available, which will ensure this style is met before commits are submitted, by reformatting the code
+and testing for lint errors.
+It can be setup by:
+
+```shell
+>> cd jupyter-cache
+>> pre-commit install
+```
+
+Optionally you can run `black` and `flake8` separately:
+
+```shell
+>> black .
+>> flake8 .
+```
+
+Editors like VS Code also have automatic code reformat utilities, which can adhere to this standard.
+
+[github-ci]: https://github.com/executablebooks/jupyter-cache/workflows/continuous-integration/badge.svg?branch=master
+[github-link]: https://github.com/executablebooks/jupyter-cache
+[codecov-badge]: https://codecov.io/gh/executablebooks/jupyter-cache/branch/master/graph/badge.svg
+[codecov-link]: https://codecov.io/gh/executablebooks/jupyter-cache
+[rtd-badge]: https://readthedocs.org/projects/jupyter-cache/badge/?version=latest
+[rtd-link]: https://jupyter-cache.readthedocs.io/en/latest/?badge=latest
+[black-badge]: https://img.shields.io/badge/code%20style-black-000000.svg
+[pypi-badge]: https://img.shields.io/pypi/v/jupyter-cache.svg
+[pypi-link]: https://pypi.org/project/jupyter-cache
+[black-link]: https://github.com/ambv/black
+
+
+
+
+%package -n python3-jupyter-cache
+Summary:	A defined interface for working with a cache of jupyter notebooks.
+Provides:	python-jupyter-cache
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-jupyter-cache
+# jupyter-cache
+
+[![Github-CI][github-ci]][github-link]
+[![Coverage Status][codecov-badge]][codecov-link]
+[![Documentation Status][rtd-badge]][rtd-link]
+[![Code style: black][black-badge]][black-link]
+[![PyPI][pypi-badge]][pypi-link]
+
+A defined interface for working with a cache of jupyter notebooks.
+
+## Why use jupyter-cache?
+
+If you have a number of notebooks whose execution outputs you want to ensure are kept up to date, without having to re-execute them every time (particularly for long running code, or text-based formats that do not store the outputs).
+
+The notebooks must have deterministic execution outputs:
+
+- You use the same environment to run them (e.g. the same installed packages)
+- They run no non-deterministic code (e.g. random numbers)
+- They do not depend on external resources (e.g. files or network connections) that change over time
+
+For example, it is utilised by [jupyter-book](https://jupyterbook.org/content/execute.html#caching-the-notebook-execution), to allow for fast document re-builds.
+
+## Install
+
+```bash
+pip install jupyter-cache
+```
+
+For development:
+
+```bash
+git clone https://github.com/executablebooks/jupyter-cache
+cd jupyter-cache
+git checkout develop
+pip install -e .[cli,code_style,testing]
+```
+
+See the documentation for usage.
+
+## Development
+
+Some desired requirements (not yet all implemented):
+
+- Persistent
+- Separates out "edits to content" from "edits to code cells". Cell
+  rearranges and code cell changes should require a re-execution. Content changes should not.
+- Allow parallel access to notebooks (for execution)
+- Store execution statistics/reports
+- Store external assets: Notebooks being executed often require external assets: importing scripts/data/etc. These are prepared by the users.
+- Store execution artefacts: created during execution
+- A transparent and robust cache invalidation: imagine the user updating an external dependency or a Python module, or checking out a different git branch.
+
+## Contributing
+
+jupyter-cache follows the [Executable Book Contribution Guide](https://executablebooks.org/en/latest/contributing.html). We'd love your help!
+
+### Code Style
+
+Code style is tested using [flake8](http://flake8.pycqa.org),
+with the configuration set in `.flake8`,
+and code formatted with [black](https://github.com/ambv/black).
+
+Installing with `jupyter-cache[code_style]` makes the [pre-commit](https://pre-commit.com/)
+package available, which will ensure this style is met before commits are submitted, by reformatting the code
+and testing for lint errors.
+It can be setup by:
+
+```shell
+>> cd jupyter-cache
+>> pre-commit install
+```
+
+Optionally you can run `black` and `flake8` separately:
+
+```shell
+>> black .
+>> flake8 .
+```
+
+Editors like VS Code also have automatic code reformat utilities, which can adhere to this standard.
+
+[github-ci]: https://github.com/executablebooks/jupyter-cache/workflows/continuous-integration/badge.svg?branch=master
+[github-link]: https://github.com/executablebooks/jupyter-cache
+[codecov-badge]: https://codecov.io/gh/executablebooks/jupyter-cache/branch/master/graph/badge.svg
+[codecov-link]: https://codecov.io/gh/executablebooks/jupyter-cache
+[rtd-badge]: https://readthedocs.org/projects/jupyter-cache/badge/?version=latest
+[rtd-link]: https://jupyter-cache.readthedocs.io/en/latest/?badge=latest
+[black-badge]: https://img.shields.io/badge/code%20style-black-000000.svg
+[pypi-badge]: https://img.shields.io/pypi/v/jupyter-cache.svg
+[pypi-link]: https://pypi.org/project/jupyter-cache
+[black-link]: https://github.com/ambv/black
+
+
+
+
+%package help
+Summary:	Development documents and examples for jupyter-cache
+Provides:	python3-jupyter-cache-doc
+%description help
+# jupyter-cache
+
+[![Github-CI][github-ci]][github-link]
+[![Coverage Status][codecov-badge]][codecov-link]
+[![Documentation Status][rtd-badge]][rtd-link]
+[![Code style: black][black-badge]][black-link]
+[![PyPI][pypi-badge]][pypi-link]
+
+A defined interface for working with a cache of jupyter notebooks.
+
+## Why use jupyter-cache?
+
+If you have a number of notebooks whose execution outputs you want to ensure are kept up to date, without having to re-execute them every time (particularly for long running code, or text-based formats that do not store the outputs).
+
+The notebooks must have deterministic execution outputs:
+
+- You use the same environment to run them (e.g. the same installed packages)
+- They run no non-deterministic code (e.g. random numbers)
+- They do not depend on external resources (e.g. files or network connections) that change over time
+
+For example, it is utilised by [jupyter-book](https://jupyterbook.org/content/execute.html#caching-the-notebook-execution), to allow for fast document re-builds.
+
+## Install
+
+```bash
+pip install jupyter-cache
+```
+
+For development:
+
+```bash
+git clone https://github.com/executablebooks/jupyter-cache
+cd jupyter-cache
+git checkout develop
+pip install -e .[cli,code_style,testing]
+```
+
+See the documentation for usage.
+
+## Development
+
+Some desired requirements (not yet all implemented):
+
+- Persistent
+- Separates out "edits to content" from "edits to code cells". Cell
+  rearranges and code cell changes should require a re-execution. Content changes should not.
+- Allow parallel access to notebooks (for execution)
+- Store execution statistics/reports
+- Store external assets: Notebooks being executed often require external assets: importing scripts/data/etc. These are prepared by the users.
+- Store execution artefacts: created during execution
+- A transparent and robust cache invalidation: imagine the user updating an external dependency or a Python module, or checking out a different git branch.
+
+## Contributing
+
+jupyter-cache follows the [Executable Book Contribution Guide](https://executablebooks.org/en/latest/contributing.html). We'd love your help!
+
+### Code Style
+
+Code style is tested using [flake8](http://flake8.pycqa.org),
+with the configuration set in `.flake8`,
+and code formatted with [black](https://github.com/ambv/black).
+
+Installing with `jupyter-cache[code_style]` makes the [pre-commit](https://pre-commit.com/)
+package available, which will ensure this style is met before commits are submitted, by reformatting the code
+and testing for lint errors.
+It can be setup by:
+
+```shell
+>> cd jupyter-cache
+>> pre-commit install
+```
+
+Optionally you can run `black` and `flake8` separately:
+
+```shell
+>> black .
+>> flake8 .
+```
+
+Editors like VS Code also have automatic code reformat utilities, which can adhere to this standard.
+
+[github-ci]: https://github.com/executablebooks/jupyter-cache/workflows/continuous-integration/badge.svg?branch=master
+[github-link]: https://github.com/executablebooks/jupyter-cache
+[codecov-badge]: https://codecov.io/gh/executablebooks/jupyter-cache/branch/master/graph/badge.svg
+[codecov-link]: https://codecov.io/gh/executablebooks/jupyter-cache
+[rtd-badge]: https://readthedocs.org/projects/jupyter-cache/badge/?version=latest
+[rtd-link]: https://jupyter-cache.readthedocs.io/en/latest/?badge=latest
+[black-badge]: https://img.shields.io/badge/code%20style-black-000000.svg
+[pypi-badge]: https://img.shields.io/pypi/v/jupyter-cache.svg
+[pypi-link]: https://pypi.org/project/jupyter-cache
+[black-link]: https://github.com/ambv/black
+
+
+
+
+%prep
+%autosetup -n jupyter-cache-0.5.0
+
+%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-jupyter-cache -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..3bc2249
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+967f1e73243dbfe9e94aed413845e499  jupyter-cache-0.5.0.tar.gz