automatic import of python-jobflowopeneuler20.03

3 files changed, 495 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..de0bb40 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/jobflow-0.1.11.tar.gz
diff --git a/python-jobflow.spec b/python-jobflow.spec
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+++ b/python-jobflow.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-jobflow
+Version:	0.1.11
+Release:	1
+Summary:	jobflow is a library for writing computational workflows
+License:	modified BSD
+URL:		https://pypi.org/project/jobflow/
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/62/79/d4bba63e7d66112b91b1b49f427a77e17969464826633c4725c2c5dfe426/jobflow-0.1.11.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-monty
+Requires:	python3-pydash
+Requires:	python3-networkx
+Requires:	python3-maggma
+Requires:	python3-pydantic
+Requires:	python3-PyYAML
+Requires:	python3-pre-commit
+Requires:	python3-sphinx
+Requires:	python3-furo
+Requires:	python3-myst-parser
+Requires:	python3-ipython
+Requires:	python3-nbsphinx
+Requires:	python3-autodoc-pydantic
+Requires:	python3-FireWorks
+Requires:	python3-monty
+Requires:	python3-networkx
+Requires:	python3-pydash
+Requires:	python3-maggma
+Requires:	python3-pydantic
+Requires:	python3-PyYAML
+Requires:	python3-FireWorks
+Requires:	python3-matplotlib
+Requires:	python3-pydot
+Requires:	python3-moto
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+Requires:	python3-matplotlib
+Requires:	python3-pydot
+
+%description
+# jobflow
+
+<a href="https://github.com/materialsproject/jobflow/actions?query=workflow%3Atesting"><img alt="code coverage" src="https://img.shields.io/github/actions/workflow/status/materialsproject/jobflow/testing.yml?branch=main&label=tests"></a>
+<a href="https://codecov.io/gh/materialsproject/jobflow/"><img alt="code coverage" src="https://img.shields.io/codecov/c/gh/materialsproject/jobflow/main"></a>
+<a href="https://pypi.org/project/jobflow"><img alt="pypi version" src="https://img.shields.io/pypi/v/jobflow?color=blue"></a>
+<img alt="supported python versions" src="https://img.shields.io/pypi/pyversions/jobflow">
+
+[Documentation](https://materialsproject.github.io/jobflow/) | [PyPI](https://pypi.org/project/jobflow/) | [GitHub](https://github.com/materialsproject/jobflow)
+
+Jobflow is a free, open-source library for writing and executing workflows. Complex
+workflows can be defined using simple python functions and executed locally or on
+arbitrary computing resources using the [FireWorks][fireworks] workflow manager.
+
+Some features that distinguish jobflow are dynamic workflows, easy compositing and
+connecting of workflows, and the ability to store workflow outputs across multiple
+databases.
+
+## Is jobflow for me
+
+jobflow is intended to be a friendly workflow software that is easy to get started with,
+but flexible enough to handle complicated use cases.
+
+Some of its features include:
+
+- A clean and flexible Python API.
+- A powerful approach to compositing and connecting workflows — information passing
+  between jobs is a key goal of jobflow. Workflows can be nested allowing for a natural
+  way to build complex workflows.
+- Integration with multiple databases (MongoDB, S3, GridFS, and more) through the
+  [Maggma][maggma] package.
+- Support for the [FireWorks][fireworks] workflow management system, allowing workflow
+  execution on multicore machines or through a queue, on a single machine or multiple
+  machines.
+- Support for dynamic workflows — workflows that modify themselves or create new ones
+  based on what happens during execution.
+
+## Workflow model
+
+Workflows in jobflows are made up of two main components:
+
+- A `Job` is an atomic computing job. Essentially any python function can be `Job`,
+  provided its input and return values can be serialized to json. Anything returned by the job is
+  considered an "output" and is stored in the jobflow database.
+- A `Flow` is a collection of `Job` objects or other `Flow` objects. The connectivity
+  between jobs is determined automatically from the job inputs. The execution order
+  of jobs is automatically determined based on their connectivity.
+
+Python functions can be easily converted in to `Job` objects using the `@job` decorator.
+In the example below, we define a job to add two numbers.
+
+```python
+from jobflow import job, Flow
+
+@job
+def add(a, b):
+    return a + b
+
+add_first = add(1, 5)
+add_second = add(add_first.output, 5)
+
+flow = Flow([add_first, add_second])
+flow.draw_graph().show()
+```
+
+The output of the job is accessed using the `output` attribute. As the job has not
+yet been run, `output` contains be a reference to a future output. Outputs can be used
+as inputs to other jobs and will be automatically "resolved" before the job is
+executed.
+
+Finally, we created a flow using the two `Job` objects. The connectivity between
+the jobs is determined automatically and can be visualised using the flow graph.
+
+<p align="center">
+<img alt="simple flow graph" src="https://raw.githubusercontent.com/materialsproject/jobflow/main/docs/_static/img/simple_flow.png" width="30%" height="30%">
+</p>
+
+## Installation
+
+The jobflow is a Python 3.8+ library and can be installed using pip.
+
+```bash
+pip install jobflow
+```
+
+## Quickstart and tutorials
+
+To get a first glimpse of jobflow, we suggest that you follow our quickstart tutorial.
+Later tutorials delve into the advanced features of jobflow.
+
+- [Five-minute quickstart tutorial][quickstart]
+- [Introduction to jobflow][introduction]
+- [Defining Jobs using jobflow][defining-jobs]
+
+## Need help?
+
+Ask questions about jobflow on the [jobflow support forum][help-forum].
+If you've found an issue with jobflow, please submit a bug report on [GitHub Issues][issues].
+
+## What’s new?
+
+Track changes to jobflow through the [changelog][changelog].
+
+## Contributing
+
+We greatly appreciate any contributions in the form of a pull request.
+Additional information on contributing to jobflow can be found [here][contributing].
+We maintain a list of all contributors [here][contributors].
+
+## License
+
+jobflow is released under a modified BSD license; the full text can be found [here][license].
+
+## Acknowledgements
+
+Jobflow was designed by Alex Ganose, Anubhav Jain, Gian-Marco Rignanese, David Waroquiers, and Guido Petretto. Alex Ganose implemented the first version of the package. Later versions have benefited from the contributions of several research groups. A full list of contributors is available [here](https://materialsproject.github.io/jobflow/contributors.html).
+
+[maggma]: https://materialsproject.github.io/maggma/
+[fireworks]: https://materialsproject.github.io/fireworks/
+[help-forum]: https://matsci.org/c/fireworks
+[issues]: https://github.com/materialsproject/jobflow/issues
+[changelog]: https://materialsproject.github.io/jobflow/changelog.html
+[contributing]: https://materialsproject.github.io/jobflow/contributing.html
+[contributors]: https://materialsproject.github.io/jobflow/contributors.html
+[license]: https://raw.githubusercontent.com/materialsproject/jobflow/main/LICENSE
+[quickstart]: https://materialsproject.github.io/jobflow/tutorials/1-quickstart.html
+[introduction]: https://materialsproject.github.io/jobflow/tutorials/2-introduction.html
+[defining-jobs]: https://materialsproject.github.io/jobflow/tutorials/3-defining-jobs.html
+[creating-flows]: https://materialsproject.github.io/jobflow/tutorials/4-creating-flows.html
+[dynamic-flows]: https://materialsproject.github.io/jobflow/tutorials/5-dynamic-flows.html
+[jobflow-database]: https://materialsproject.github.io/jobflow/tutorials/6-jobflow-database.html
+[jobflow-fireworks]: https://materialsproject.github.io/jobflow/tutorials/7-fireworks.html
+
+
+%package -n python3-jobflow
+Summary:	jobflow is a library for writing computational workflows
+Provides:	python-jobflow
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-jobflow
+# jobflow
+
+<a href="https://github.com/materialsproject/jobflow/actions?query=workflow%3Atesting"><img alt="code coverage" src="https://img.shields.io/github/actions/workflow/status/materialsproject/jobflow/testing.yml?branch=main&label=tests"></a>
+<a href="https://codecov.io/gh/materialsproject/jobflow/"><img alt="code coverage" src="https://img.shields.io/codecov/c/gh/materialsproject/jobflow/main"></a>
+<a href="https://pypi.org/project/jobflow"><img alt="pypi version" src="https://img.shields.io/pypi/v/jobflow?color=blue"></a>
+<img alt="supported python versions" src="https://img.shields.io/pypi/pyversions/jobflow">
+
+[Documentation](https://materialsproject.github.io/jobflow/) | [PyPI](https://pypi.org/project/jobflow/) | [GitHub](https://github.com/materialsproject/jobflow)
+
+Jobflow is a free, open-source library for writing and executing workflows. Complex
+workflows can be defined using simple python functions and executed locally or on
+arbitrary computing resources using the [FireWorks][fireworks] workflow manager.
+
+Some features that distinguish jobflow are dynamic workflows, easy compositing and
+connecting of workflows, and the ability to store workflow outputs across multiple
+databases.
+
+## Is jobflow for me
+
+jobflow is intended to be a friendly workflow software that is easy to get started with,
+but flexible enough to handle complicated use cases.
+
+Some of its features include:
+
+- A clean and flexible Python API.
+- A powerful approach to compositing and connecting workflows — information passing
+  between jobs is a key goal of jobflow. Workflows can be nested allowing for a natural
+  way to build complex workflows.
+- Integration with multiple databases (MongoDB, S3, GridFS, and more) through the
+  [Maggma][maggma] package.
+- Support for the [FireWorks][fireworks] workflow management system, allowing workflow
+  execution on multicore machines or through a queue, on a single machine or multiple
+  machines.
+- Support for dynamic workflows — workflows that modify themselves or create new ones
+  based on what happens during execution.
+
+## Workflow model
+
+Workflows in jobflows are made up of two main components:
+
+- A `Job` is an atomic computing job. Essentially any python function can be `Job`,
+  provided its input and return values can be serialized to json. Anything returned by the job is
+  considered an "output" and is stored in the jobflow database.
+- A `Flow` is a collection of `Job` objects or other `Flow` objects. The connectivity
+  between jobs is determined automatically from the job inputs. The execution order
+  of jobs is automatically determined based on their connectivity.
+
+Python functions can be easily converted in to `Job` objects using the `@job` decorator.
+In the example below, we define a job to add two numbers.
+
+```python
+from jobflow import job, Flow
+
+@job
+def add(a, b):
+    return a + b
+
+add_first = add(1, 5)
+add_second = add(add_first.output, 5)
+
+flow = Flow([add_first, add_second])
+flow.draw_graph().show()
+```
+
+The output of the job is accessed using the `output` attribute. As the job has not
+yet been run, `output` contains be a reference to a future output. Outputs can be used
+as inputs to other jobs and will be automatically "resolved" before the job is
+executed.
+
+Finally, we created a flow using the two `Job` objects. The connectivity between
+the jobs is determined automatically and can be visualised using the flow graph.
+
+<p align="center">
+<img alt="simple flow graph" src="https://raw.githubusercontent.com/materialsproject/jobflow/main/docs/_static/img/simple_flow.png" width="30%" height="30%">
+</p>
+
+## Installation
+
+The jobflow is a Python 3.8+ library and can be installed using pip.
+
+```bash
+pip install jobflow
+```
+
+## Quickstart and tutorials
+
+To get a first glimpse of jobflow, we suggest that you follow our quickstart tutorial.
+Later tutorials delve into the advanced features of jobflow.
+
+- [Five-minute quickstart tutorial][quickstart]
+- [Introduction to jobflow][introduction]
+- [Defining Jobs using jobflow][defining-jobs]
+
+## Need help?
+
+Ask questions about jobflow on the [jobflow support forum][help-forum].
+If you've found an issue with jobflow, please submit a bug report on [GitHub Issues][issues].
+
+## What’s new?
+
+Track changes to jobflow through the [changelog][changelog].
+
+## Contributing
+
+We greatly appreciate any contributions in the form of a pull request.
+Additional information on contributing to jobflow can be found [here][contributing].
+We maintain a list of all contributors [here][contributors].
+
+## License
+
+jobflow is released under a modified BSD license; the full text can be found [here][license].
+
+## Acknowledgements
+
+Jobflow was designed by Alex Ganose, Anubhav Jain, Gian-Marco Rignanese, David Waroquiers, and Guido Petretto. Alex Ganose implemented the first version of the package. Later versions have benefited from the contributions of several research groups. A full list of contributors is available [here](https://materialsproject.github.io/jobflow/contributors.html).
+
+[maggma]: https://materialsproject.github.io/maggma/
+[fireworks]: https://materialsproject.github.io/fireworks/
+[help-forum]: https://matsci.org/c/fireworks
+[issues]: https://github.com/materialsproject/jobflow/issues
+[changelog]: https://materialsproject.github.io/jobflow/changelog.html
+[contributing]: https://materialsproject.github.io/jobflow/contributing.html
+[contributors]: https://materialsproject.github.io/jobflow/contributors.html
+[license]: https://raw.githubusercontent.com/materialsproject/jobflow/main/LICENSE
+[quickstart]: https://materialsproject.github.io/jobflow/tutorials/1-quickstart.html
+[introduction]: https://materialsproject.github.io/jobflow/tutorials/2-introduction.html
+[defining-jobs]: https://materialsproject.github.io/jobflow/tutorials/3-defining-jobs.html
+[creating-flows]: https://materialsproject.github.io/jobflow/tutorials/4-creating-flows.html
+[dynamic-flows]: https://materialsproject.github.io/jobflow/tutorials/5-dynamic-flows.html
+[jobflow-database]: https://materialsproject.github.io/jobflow/tutorials/6-jobflow-database.html
+[jobflow-fireworks]: https://materialsproject.github.io/jobflow/tutorials/7-fireworks.html
+
+
+%package help
+Summary:	Development documents and examples for jobflow
+Provides:	python3-jobflow-doc
+%description help
+# jobflow
+
+<a href="https://github.com/materialsproject/jobflow/actions?query=workflow%3Atesting"><img alt="code coverage" src="https://img.shields.io/github/actions/workflow/status/materialsproject/jobflow/testing.yml?branch=main&label=tests"></a>
+<a href="https://codecov.io/gh/materialsproject/jobflow/"><img alt="code coverage" src="https://img.shields.io/codecov/c/gh/materialsproject/jobflow/main"></a>
+<a href="https://pypi.org/project/jobflow"><img alt="pypi version" src="https://img.shields.io/pypi/v/jobflow?color=blue"></a>
+<img alt="supported python versions" src="https://img.shields.io/pypi/pyversions/jobflow">
+
+[Documentation](https://materialsproject.github.io/jobflow/) | [PyPI](https://pypi.org/project/jobflow/) | [GitHub](https://github.com/materialsproject/jobflow)
+
+Jobflow is a free, open-source library for writing and executing workflows. Complex
+workflows can be defined using simple python functions and executed locally or on
+arbitrary computing resources using the [FireWorks][fireworks] workflow manager.
+
+Some features that distinguish jobflow are dynamic workflows, easy compositing and
+connecting of workflows, and the ability to store workflow outputs across multiple
+databases.
+
+## Is jobflow for me
+
+jobflow is intended to be a friendly workflow software that is easy to get started with,
+but flexible enough to handle complicated use cases.
+
+Some of its features include:
+
+- A clean and flexible Python API.
+- A powerful approach to compositing and connecting workflows — information passing
+  between jobs is a key goal of jobflow. Workflows can be nested allowing for a natural
+  way to build complex workflows.
+- Integration with multiple databases (MongoDB, S3, GridFS, and more) through the
+  [Maggma][maggma] package.
+- Support for the [FireWorks][fireworks] workflow management system, allowing workflow
+  execution on multicore machines or through a queue, on a single machine or multiple
+  machines.
+- Support for dynamic workflows — workflows that modify themselves or create new ones
+  based on what happens during execution.
+
+## Workflow model
+
+Workflows in jobflows are made up of two main components:
+
+- A `Job` is an atomic computing job. Essentially any python function can be `Job`,
+  provided its input and return values can be serialized to json. Anything returned by the job is
+  considered an "output" and is stored in the jobflow database.
+- A `Flow` is a collection of `Job` objects or other `Flow` objects. The connectivity
+  between jobs is determined automatically from the job inputs. The execution order
+  of jobs is automatically determined based on their connectivity.
+
+Python functions can be easily converted in to `Job` objects using the `@job` decorator.
+In the example below, we define a job to add two numbers.
+
+```python
+from jobflow import job, Flow
+
+@job
+def add(a, b):
+    return a + b
+
+add_first = add(1, 5)
+add_second = add(add_first.output, 5)
+
+flow = Flow([add_first, add_second])
+flow.draw_graph().show()
+```
+
+The output of the job is accessed using the `output` attribute. As the job has not
+yet been run, `output` contains be a reference to a future output. Outputs can be used
+as inputs to other jobs and will be automatically "resolved" before the job is
+executed.
+
+Finally, we created a flow using the two `Job` objects. The connectivity between
+the jobs is determined automatically and can be visualised using the flow graph.
+
+<p align="center">
+<img alt="simple flow graph" src="https://raw.githubusercontent.com/materialsproject/jobflow/main/docs/_static/img/simple_flow.png" width="30%" height="30%">
+</p>
+
+## Installation
+
+The jobflow is a Python 3.8+ library and can be installed using pip.
+
+```bash
+pip install jobflow
+```
+
+## Quickstart and tutorials
+
+To get a first glimpse of jobflow, we suggest that you follow our quickstart tutorial.
+Later tutorials delve into the advanced features of jobflow.
+
+- [Five-minute quickstart tutorial][quickstart]
+- [Introduction to jobflow][introduction]
+- [Defining Jobs using jobflow][defining-jobs]
+
+## Need help?
+
+Ask questions about jobflow on the [jobflow support forum][help-forum].
+If you've found an issue with jobflow, please submit a bug report on [GitHub Issues][issues].
+
+## What’s new?
+
+Track changes to jobflow through the [changelog][changelog].
+
+## Contributing
+
+We greatly appreciate any contributions in the form of a pull request.
+Additional information on contributing to jobflow can be found [here][contributing].
+We maintain a list of all contributors [here][contributors].
+
+## License
+
+jobflow is released under a modified BSD license; the full text can be found [here][license].
+
+## Acknowledgements
+
+Jobflow was designed by Alex Ganose, Anubhav Jain, Gian-Marco Rignanese, David Waroquiers, and Guido Petretto. Alex Ganose implemented the first version of the package. Later versions have benefited from the contributions of several research groups. A full list of contributors is available [here](https://materialsproject.github.io/jobflow/contributors.html).
+
+[maggma]: https://materialsproject.github.io/maggma/
+[fireworks]: https://materialsproject.github.io/fireworks/
+[help-forum]: https://matsci.org/c/fireworks
+[issues]: https://github.com/materialsproject/jobflow/issues
+[changelog]: https://materialsproject.github.io/jobflow/changelog.html
+[contributing]: https://materialsproject.github.io/jobflow/contributing.html
+[contributors]: https://materialsproject.github.io/jobflow/contributors.html
+[license]: https://raw.githubusercontent.com/materialsproject/jobflow/main/LICENSE
+[quickstart]: https://materialsproject.github.io/jobflow/tutorials/1-quickstart.html
+[introduction]: https://materialsproject.github.io/jobflow/tutorials/2-introduction.html
+[defining-jobs]: https://materialsproject.github.io/jobflow/tutorials/3-defining-jobs.html
+[creating-flows]: https://materialsproject.github.io/jobflow/tutorials/4-creating-flows.html
+[dynamic-flows]: https://materialsproject.github.io/jobflow/tutorials/5-dynamic-flows.html
+[jobflow-database]: https://materialsproject.github.io/jobflow/tutorials/6-jobflow-database.html
+[jobflow-fireworks]: https://materialsproject.github.io/jobflow/tutorials/7-fireworks.html
+
+
+%prep
+%autosetup -n jobflow-0.1.11
+
+%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-jobflow -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.11-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..ba08ecc
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+8f8eb9c70402012cef2a2098f32c2b55  jobflow-0.1.11.tar.gz