automatic import of python-c3-toolset-nightly

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+/c3-toolset-nightly-20230126.tar.gz
diff --git a/python-c3-toolset-nightly.spec b/python-c3-toolset-nightly.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-c3-toolset-nightly
+Version:	20230126
+Release:	1
+Summary:	Toolset for control, calibration and characterization of physical systems
+License:	Apache Software License
+URL:		http://www.q-optimize.org
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b1/9c/0495d455ca068dba9372288fe88dbfeef9e876f092e9e50f894c01051126/c3-toolset-nightly-20230126.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-adaptive
+Requires:	python3-cma
+Requires:	python3-gast
+Requires:	python3-hjson
+Requires:	python3-rich
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-tensorflow
+Requires:	python3-tensorflow-estimator
+Requires:	python3-tensorflow-probability
+
+%description
+# C3 - An integrated tool-set for Control, Calibration and Characterization
+
+[![codecov](https://codecov.io/gh/q-optimize/c3/branch/dev/graph/badge.svg)](https://codecov.io/gh/q-optimize/c3)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/q-optimize/c3.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/q-optimize/c3/context:python)
+<a href="https://codeclimate.com/github/q-optimize/c3/maintainability"><img src="https://api.codeclimate.com/v1/badges/a090831b106f863dc223/maintainability" /></a>
+[![Build and Test](https://github.com/q-optimize/c3/actions/workflows/build_package.yml/badge.svg)](https://github.com/q-optimize/c3/actions/workflows/build_package.yml)
+[![Documentation Status](https://readthedocs.org/projects/c3-toolset/badge/?version=latest)](https://c3-toolset.readthedocs.io/en/latest/?badge=latest)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![PyPI version fury.io](https://badge.fury.io/py/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![PyPI license](https://img.shields.io/pypi/l/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/q-optimize/c3/dev)
+
+The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.
+
+## Installation
+
+```bash
+pip install c3-toolset
+```
+
+If you want to try out the bleeding edge (possibly buggy) version under development:
+
+```bash
+pip install c3-toolset-nightly
+```
+
+There is no official support for `c3-toolset` on Apple Silicon devices, but you can check the [`CONTRIBUTING.md`](CONTRIBUTING.md#development-on-apple-silicon) for instructions on setting up an experimental version.
+
+## Usage
+
+C3  provides a simple Python API through which it may integrate with virtually any experimental setup.
+Contact us at [c3@q-optimize.org](mailto://quantum.c3po@gmail.com).
+
+The paper introducing C3 as a scientific concept can be found in [Wittler2021](https://arxiv.org/abs/2009.09866). Software and implementation details are described in [SahaRoy2022](https://arxiv.org/abs/2205.04829). 
+
+Documentation is available [here](https://c3-toolset.readthedocs.io) on RTD.
+
+### Examples
+
+The following notebooks are available in the `examples/` directory and can also be run online using the `launch|binder` badge above:
+
+- [Model-based Optimal Control for Single Qubit Gate](examples/two_qubits.ipynb)
+- [Model-based Optimal Control for Two Qubit Engtangling Gate](examples/two_qubit_entangling_gate.ipynb)
+- [Model-free Calibration on Simulated Hardware](examples/Simulated_calibration.ipynb)
+- [Simulated Model Learning with data from Simulated Calibration](examples/Simulated_Model_Learning.ipynb)
+- [Full loop - Control, Calibration & Characterization](examples/Full_loop_single_qubit.ipynb)
+- [Minimum example for using the Qiskit interface](examples/c3_qiskit.ipynb)
+- [Minimum example for optimizing piece-wise constant pulses](examples/Piecewise_constant_controls.ipynb)
+- [Understanding the ParameterMap](examples/Parametermap.ipynb)
+- [Frequency Dependent Coupling](examples/frequency_dependent_coupling.ipynb)
+
+## Contributing
+
+If you wish to contribute, please check out the issues tab and also the [CONTRIBUTING.md](CONTRIBUTING.md) for useful resources.
+
+The source code is available on Github at [https://github.com/q-optimize/c3](https://github.com/q-optimize/c3).
+
+## Citation
+
+If you use `c3-toolset` in your research, please cite it as below:
+
+```
+@article{Wittler2021,
+   title={Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits},
+   volume={15},
+   DOI={10.1103/physrevapplied.15.034080},
+   number={3},
+   journal={Physical Review Applied},
+   author={Wittler, Nicolas and Roy, Federico and Pack, Kevin and Werninghaus, Max and Saha Roy, Anurag and Egger, Daniel J. and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
+   year={2021},
+   month={Mar}
+}
+```
+
+
+
+
+%package -n python3-c3-toolset-nightly
+Summary:	Toolset for control, calibration and characterization of physical systems
+Provides:	python-c3-toolset-nightly
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-c3-toolset-nightly
+# C3 - An integrated tool-set for Control, Calibration and Characterization
+
+[![codecov](https://codecov.io/gh/q-optimize/c3/branch/dev/graph/badge.svg)](https://codecov.io/gh/q-optimize/c3)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/q-optimize/c3.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/q-optimize/c3/context:python)
+<a href="https://codeclimate.com/github/q-optimize/c3/maintainability"><img src="https://api.codeclimate.com/v1/badges/a090831b106f863dc223/maintainability" /></a>
+[![Build and Test](https://github.com/q-optimize/c3/actions/workflows/build_package.yml/badge.svg)](https://github.com/q-optimize/c3/actions/workflows/build_package.yml)
+[![Documentation Status](https://readthedocs.org/projects/c3-toolset/badge/?version=latest)](https://c3-toolset.readthedocs.io/en/latest/?badge=latest)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![PyPI version fury.io](https://badge.fury.io/py/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![PyPI license](https://img.shields.io/pypi/l/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/q-optimize/c3/dev)
+
+The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.
+
+## Installation
+
+```bash
+pip install c3-toolset
+```
+
+If you want to try out the bleeding edge (possibly buggy) version under development:
+
+```bash
+pip install c3-toolset-nightly
+```
+
+There is no official support for `c3-toolset` on Apple Silicon devices, but you can check the [`CONTRIBUTING.md`](CONTRIBUTING.md#development-on-apple-silicon) for instructions on setting up an experimental version.
+
+## Usage
+
+C3  provides a simple Python API through which it may integrate with virtually any experimental setup.
+Contact us at [c3@q-optimize.org](mailto://quantum.c3po@gmail.com).
+
+The paper introducing C3 as a scientific concept can be found in [Wittler2021](https://arxiv.org/abs/2009.09866). Software and implementation details are described in [SahaRoy2022](https://arxiv.org/abs/2205.04829). 
+
+Documentation is available [here](https://c3-toolset.readthedocs.io) on RTD.
+
+### Examples
+
+The following notebooks are available in the `examples/` directory and can also be run online using the `launch|binder` badge above:
+
+- [Model-based Optimal Control for Single Qubit Gate](examples/two_qubits.ipynb)
+- [Model-based Optimal Control for Two Qubit Engtangling Gate](examples/two_qubit_entangling_gate.ipynb)
+- [Model-free Calibration on Simulated Hardware](examples/Simulated_calibration.ipynb)
+- [Simulated Model Learning with data from Simulated Calibration](examples/Simulated_Model_Learning.ipynb)
+- [Full loop - Control, Calibration & Characterization](examples/Full_loop_single_qubit.ipynb)
+- [Minimum example for using the Qiskit interface](examples/c3_qiskit.ipynb)
+- [Minimum example for optimizing piece-wise constant pulses](examples/Piecewise_constant_controls.ipynb)
+- [Understanding the ParameterMap](examples/Parametermap.ipynb)
+- [Frequency Dependent Coupling](examples/frequency_dependent_coupling.ipynb)
+
+## Contributing
+
+If you wish to contribute, please check out the issues tab and also the [CONTRIBUTING.md](CONTRIBUTING.md) for useful resources.
+
+The source code is available on Github at [https://github.com/q-optimize/c3](https://github.com/q-optimize/c3).
+
+## Citation
+
+If you use `c3-toolset` in your research, please cite it as below:
+
+```
+@article{Wittler2021,
+   title={Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits},
+   volume={15},
+   DOI={10.1103/physrevapplied.15.034080},
+   number={3},
+   journal={Physical Review Applied},
+   author={Wittler, Nicolas and Roy, Federico and Pack, Kevin and Werninghaus, Max and Saha Roy, Anurag and Egger, Daniel J. and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
+   year={2021},
+   month={Mar}
+}
+```
+
+
+
+
+%package help
+Summary:	Development documents and examples for c3-toolset-nightly
+Provides:	python3-c3-toolset-nightly-doc
+%description help
+# C3 - An integrated tool-set for Control, Calibration and Characterization
+
+[![codecov](https://codecov.io/gh/q-optimize/c3/branch/dev/graph/badge.svg)](https://codecov.io/gh/q-optimize/c3)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/q-optimize/c3.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/q-optimize/c3/context:python)
+<a href="https://codeclimate.com/github/q-optimize/c3/maintainability"><img src="https://api.codeclimate.com/v1/badges/a090831b106f863dc223/maintainability" /></a>
+[![Build and Test](https://github.com/q-optimize/c3/actions/workflows/build_package.yml/badge.svg)](https://github.com/q-optimize/c3/actions/workflows/build_package.yml)
+[![Documentation Status](https://readthedocs.org/projects/c3-toolset/badge/?version=latest)](https://c3-toolset.readthedocs.io/en/latest/?badge=latest)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![PyPI version fury.io](https://badge.fury.io/py/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![PyPI license](https://img.shields.io/pypi/l/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![PyPI pyversions](https://img.shields.io/pypi/pyversions/c3-toolset.svg)](https://pypi.python.org/pypi/c3-toolset/)
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/q-optimize/c3/dev)
+
+The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.
+
+## Installation
+
+```bash
+pip install c3-toolset
+```
+
+If you want to try out the bleeding edge (possibly buggy) version under development:
+
+```bash
+pip install c3-toolset-nightly
+```
+
+There is no official support for `c3-toolset` on Apple Silicon devices, but you can check the [`CONTRIBUTING.md`](CONTRIBUTING.md#development-on-apple-silicon) for instructions on setting up an experimental version.
+
+## Usage
+
+C3  provides a simple Python API through which it may integrate with virtually any experimental setup.
+Contact us at [c3@q-optimize.org](mailto://quantum.c3po@gmail.com).
+
+The paper introducing C3 as a scientific concept can be found in [Wittler2021](https://arxiv.org/abs/2009.09866). Software and implementation details are described in [SahaRoy2022](https://arxiv.org/abs/2205.04829). 
+
+Documentation is available [here](https://c3-toolset.readthedocs.io) on RTD.
+
+### Examples
+
+The following notebooks are available in the `examples/` directory and can also be run online using the `launch|binder` badge above:
+
+- [Model-based Optimal Control for Single Qubit Gate](examples/two_qubits.ipynb)
+- [Model-based Optimal Control for Two Qubit Engtangling Gate](examples/two_qubit_entangling_gate.ipynb)
+- [Model-free Calibration on Simulated Hardware](examples/Simulated_calibration.ipynb)
+- [Simulated Model Learning with data from Simulated Calibration](examples/Simulated_Model_Learning.ipynb)
+- [Full loop - Control, Calibration & Characterization](examples/Full_loop_single_qubit.ipynb)
+- [Minimum example for using the Qiskit interface](examples/c3_qiskit.ipynb)
+- [Minimum example for optimizing piece-wise constant pulses](examples/Piecewise_constant_controls.ipynb)
+- [Understanding the ParameterMap](examples/Parametermap.ipynb)
+- [Frequency Dependent Coupling](examples/frequency_dependent_coupling.ipynb)
+
+## Contributing
+
+If you wish to contribute, please check out the issues tab and also the [CONTRIBUTING.md](CONTRIBUTING.md) for useful resources.
+
+The source code is available on Github at [https://github.com/q-optimize/c3](https://github.com/q-optimize/c3).
+
+## Citation
+
+If you use `c3-toolset` in your research, please cite it as below:
+
+```
+@article{Wittler2021,
+   title={Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits},
+   volume={15},
+   DOI={10.1103/physrevapplied.15.034080},
+   number={3},
+   journal={Physical Review Applied},
+   author={Wittler, Nicolas and Roy, Federico and Pack, Kevin and Werninghaus, Max and Saha Roy, Anurag and Egger, Daniel J. and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
+   year={2021},
+   month={Mar}
+}
+```
+
+
+
+
+%prep
+%autosetup -n c3-toolset-nightly-20230126
+
+%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-c3-toolset-nightly -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 20230126-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..bddeb0d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+3bccc1ef3da27ef78032d91cde950be8  c3-toolset-nightly-20230126.tar.gz