%global _empty_manifest_terminate_build 0 Name: python-omc3 Version: 0.11.1 Release: 1 Summary: An accelerator physics tools package for the OMC team at CERN. License: MIT URL: https://github.com/pylhc/omc3 Source0: https://mirrors.aliyun.com/pypi/web/packages/04/a6/2147fcea72855ca65ddca208f25f8903969ab2ba9a7cc3f016a38c94861e/omc3-0.11.1.tar.gz BuildArch: noarch Requires: python3-matplotlib Requires: python3-Pillow Requires: python3-numpy Requires: python3-pandas Requires: python3-scipy Requires: python3-scikit-learn Requires: python3-tfs-pandas Requires: python3-generic-parser Requires: python3-sdds Requires: python3-h5py Requires: python3-tables Requires: python3-uncertainties Requires: python3-optics-functions Requires: python3-turn-by-turn Requires: python3-requests Requires: python3-jpype1 Requires: python3-pytimber Requires: python3-pylogbook Requires: python3-kerberos Requires: python3-pymupdf Requires: python3-qtpy Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-timeout Requires: python3-hypothesis Requires: python3-attrs Requires: python3-sphinx Requires: python3-sphinx-rtd-theme Requires: python3-jpype1 Requires: python3-pytimber Requires: python3-pylogbook Requires: python3-kerberos Requires: python3-sphinx Requires: python3-sphinx-rtd-theme Requires: python3-pymupdf Requires: python3-qtpy Requires: python3-pytest Requires: python3-pytest-cov Requires: python3-pytest-timeout Requires: python3-hypothesis Requires: python3-jpype1 Requires: python3-attrs %description # 3 [![Tests](https://github.com/pylhc/omc3/actions/workflows/coverage.yml/badge.svg?branch=master)](https://github.com/pylhc/omc3/actions/workflows/coverage.yml) [![Code Climate coverage](https://img.shields.io/codeclimate/coverage/pylhc/omc3.svg?style=popout)](https://codeclimate.com/github/pylhc/omc3) [![Code Climate maintainability (percentage)](https://img.shields.io/codeclimate/maintainability-percentage/pylhc/omc3.svg?style=popout)](https://codeclimate.com/github/pylhc/omc3) [![GitHub last commit](https://img.shields.io/github/last-commit/pylhc/omc3.svg?style=popout)](https://github.com/pylhc/omc3/) [![GitHub release](https://img.shields.io/github/release/pylhc/omc3.svg?style=popout)](https://github.com/pylhc/omc3/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5705625.svg)](https://doi.org/10.5281/zenodo.5705625) This is the python-tool package of the Optics Measurements and Corrections team (OMC) at CERN. Most of the codes are generic and not limited to CERN accelerators, and the package can easily be used for your favorite circular accelerator. To see how to adapt this for your machine, see our [documentation](https://pylhc.github.io/omc3/), `Model` section. To contribute, see [our guidelines](https://pylhc.github.io/packages/development/contributing/) on the OMC website. ## Documentation - Autogenerated docs via `Sphinx` can be found at . - General documentation of the OMC Team is located at . ## Installing Installation is easily done via `pip`: ``` pip install omc3 ``` For development purposes, we recommend creating a new virtual environment and installing from VCS in editable mode with all extra dependencies (`cern` for packages only available in the CERN GPN, `test` for `pytest` and relevant plugins, and `doc` for packages needed to build documentation) ```bash git clone https://github.com/pylhc/omc3 pip install --editable "omc3[all]" ``` Codes can then be run with either `python -m omc3.SCRIPT --FLAG ARGUMENT` or calling the `.py` file directly. ## Functionality #### Main Scripts Main scripts to be executed lie in the [`/omc3`](omc3) directory. These include: - `global_correction.py` to calculate corrections from measurement files. - `hole_in_one.py` to perform frequency analysis on turn by turn BPM data and infer optics (and more) for a given accelerator. - `madx_wrapper.py` to start a `MAD-X` run with a file or string as input. - `model_creator.py` to generate optics models required for optics analysis. - `response_creator.py` to provide correction response files. - `run_kmod.py` to analyze data from K-modulation and return the measured optics functions. - `tbt_converter.py` to convert different turn by turn data types to `SDDS`, potentially adding noise. - `amplitude_detuning_analysis.py` to perform amp. det. analysis on optics data with tune correction. - `knob_extractor.py` to extract from `NXCALS` the value of given knobs in the machine at a given time. #### Plotting Scripts Plotting scripts for analysis outputs can be found in [`/omc3/plotting`](omc3/plotting): - `plot_spectrum.py` to generate plots from files generated by frequency analysis. - `plot_bbq.py` to generate plots from files generated by BBQ analysis. - `plot_amplitude_detuning.py` to generate plots from files generated by amplitude detuning analysis. - `plot_optics_measurements.py` to generate plots from files generated by optics_measurements. - `plot_tfs.py` all-purpose tfs-file plotter. #### Other Scripts Other general utility scripts are in [`/omc3/scripts`](omc3/scripts): - `update_nattune_in_linfile.py` to update the natural tune columns in the lin files by finding the highest peak in the spectrum in a given interval. - `write_madx_macros.py` to generate `MAD-X` tracking macros with observation points from a TWISS file. - `merge_kmod_results.py` to merge LSA results files created by kmod, and add the luminosity imbalance if the 4 needed IP/Beam files combination are present. - `fake_measurement_from_model.py` to create a fake measurement based on a model TWISS file. - `betabeatsrc_output_converter.py` to convert outputs from our old codes to `omc3`'s new standardized format. - `linfile_clean.py` to automatically clean given columns in lin files. Example use for these scripts can be found in the [`tests`](tests) files. Documentation including relevant flags and parameters can be found at . ## License This project is licensed under the `MIT License` - see the [LICENSE](LICENSE) file for details. %package -n python3-omc3 Summary: An accelerator physics tools package for the OMC team at CERN. Provides: python-omc3 BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-omc3 # 3 [![Tests](https://github.com/pylhc/omc3/actions/workflows/coverage.yml/badge.svg?branch=master)](https://github.com/pylhc/omc3/actions/workflows/coverage.yml) [![Code Climate coverage](https://img.shields.io/codeclimate/coverage/pylhc/omc3.svg?style=popout)](https://codeclimate.com/github/pylhc/omc3) [![Code Climate maintainability (percentage)](https://img.shields.io/codeclimate/maintainability-percentage/pylhc/omc3.svg?style=popout)](https://codeclimate.com/github/pylhc/omc3) [![GitHub last commit](https://img.shields.io/github/last-commit/pylhc/omc3.svg?style=popout)](https://github.com/pylhc/omc3/) [![GitHub release](https://img.shields.io/github/release/pylhc/omc3.svg?style=popout)](https://github.com/pylhc/omc3/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5705625.svg)](https://doi.org/10.5281/zenodo.5705625) This is the python-tool package of the Optics Measurements and Corrections team (OMC) at CERN. Most of the codes are generic and not limited to CERN accelerators, and the package can easily be used for your favorite circular accelerator. To see how to adapt this for your machine, see our [documentation](https://pylhc.github.io/omc3/), `Model` section. To contribute, see [our guidelines](https://pylhc.github.io/packages/development/contributing/) on the OMC website. ## Documentation - Autogenerated docs via `Sphinx` can be found at . - General documentation of the OMC Team is located at . ## Installing Installation is easily done via `pip`: ``` pip install omc3 ``` For development purposes, we recommend creating a new virtual environment and installing from VCS in editable mode with all extra dependencies (`cern` for packages only available in the CERN GPN, `test` for `pytest` and relevant plugins, and `doc` for packages needed to build documentation) ```bash git clone https://github.com/pylhc/omc3 pip install --editable "omc3[all]" ``` Codes can then be run with either `python -m omc3.SCRIPT --FLAG ARGUMENT` or calling the `.py` file directly. ## Functionality #### Main Scripts Main scripts to be executed lie in the [`/omc3`](omc3) directory. These include: - `global_correction.py` to calculate corrections from measurement files. - `hole_in_one.py` to perform frequency analysis on turn by turn BPM data and infer optics (and more) for a given accelerator. - `madx_wrapper.py` to start a `MAD-X` run with a file or string as input. - `model_creator.py` to generate optics models required for optics analysis. - `response_creator.py` to provide correction response files. - `run_kmod.py` to analyze data from K-modulation and return the measured optics functions. - `tbt_converter.py` to convert different turn by turn data types to `SDDS`, potentially adding noise. - `amplitude_detuning_analysis.py` to perform amp. det. analysis on optics data with tune correction. - `knob_extractor.py` to extract from `NXCALS` the value of given knobs in the machine at a given time. #### Plotting Scripts Plotting scripts for analysis outputs can be found in [`/omc3/plotting`](omc3/plotting): - `plot_spectrum.py` to generate plots from files generated by frequency analysis. - `plot_bbq.py` to generate plots from files generated by BBQ analysis. - `plot_amplitude_detuning.py` to generate plots from files generated by amplitude detuning analysis. - `plot_optics_measurements.py` to generate plots from files generated by optics_measurements. - `plot_tfs.py` all-purpose tfs-file plotter. #### Other Scripts Other general utility scripts are in [`/omc3/scripts`](omc3/scripts): - `update_nattune_in_linfile.py` to update the natural tune columns in the lin files by finding the highest peak in the spectrum in a given interval. - `write_madx_macros.py` to generate `MAD-X` tracking macros with observation points from a TWISS file. - `merge_kmod_results.py` to merge LSA results files created by kmod, and add the luminosity imbalance if the 4 needed IP/Beam files combination are present. - `fake_measurement_from_model.py` to create a fake measurement based on a model TWISS file. - `betabeatsrc_output_converter.py` to convert outputs from our old codes to `omc3`'s new standardized format. - `linfile_clean.py` to automatically clean given columns in lin files. Example use for these scripts can be found in the [`tests`](tests) files. Documentation including relevant flags and parameters can be found at . ## License This project is licensed under the `MIT License` - see the [LICENSE](LICENSE) file for details. %package help Summary: Development documents and examples for omc3 Provides: python3-omc3-doc %description help # 3 [![Tests](https://github.com/pylhc/omc3/actions/workflows/coverage.yml/badge.svg?branch=master)](https://github.com/pylhc/omc3/actions/workflows/coverage.yml) [![Code Climate coverage](https://img.shields.io/codeclimate/coverage/pylhc/omc3.svg?style=popout)](https://codeclimate.com/github/pylhc/omc3) [![Code Climate maintainability (percentage)](https://img.shields.io/codeclimate/maintainability-percentage/pylhc/omc3.svg?style=popout)](https://codeclimate.com/github/pylhc/omc3) [![GitHub last commit](https://img.shields.io/github/last-commit/pylhc/omc3.svg?style=popout)](https://github.com/pylhc/omc3/) [![GitHub release](https://img.shields.io/github/release/pylhc/omc3.svg?style=popout)](https://github.com/pylhc/omc3/) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5705625.svg)](https://doi.org/10.5281/zenodo.5705625) This is the python-tool package of the Optics Measurements and Corrections team (OMC) at CERN. Most of the codes are generic and not limited to CERN accelerators, and the package can easily be used for your favorite circular accelerator. To see how to adapt this for your machine, see our [documentation](https://pylhc.github.io/omc3/), `Model` section. To contribute, see [our guidelines](https://pylhc.github.io/packages/development/contributing/) on the OMC website. ## Documentation - Autogenerated docs via `Sphinx` can be found at . - General documentation of the OMC Team is located at . ## Installing Installation is easily done via `pip`: ``` pip install omc3 ``` For development purposes, we recommend creating a new virtual environment and installing from VCS in editable mode with all extra dependencies (`cern` for packages only available in the CERN GPN, `test` for `pytest` and relevant plugins, and `doc` for packages needed to build documentation) ```bash git clone https://github.com/pylhc/omc3 pip install --editable "omc3[all]" ``` Codes can then be run with either `python -m omc3.SCRIPT --FLAG ARGUMENT` or calling the `.py` file directly. ## Functionality #### Main Scripts Main scripts to be executed lie in the [`/omc3`](omc3) directory. These include: - `global_correction.py` to calculate corrections from measurement files. - `hole_in_one.py` to perform frequency analysis on turn by turn BPM data and infer optics (and more) for a given accelerator. - `madx_wrapper.py` to start a `MAD-X` run with a file or string as input. - `model_creator.py` to generate optics models required for optics analysis. - `response_creator.py` to provide correction response files. - `run_kmod.py` to analyze data from K-modulation and return the measured optics functions. - `tbt_converter.py` to convert different turn by turn data types to `SDDS`, potentially adding noise. - `amplitude_detuning_analysis.py` to perform amp. det. analysis on optics data with tune correction. - `knob_extractor.py` to extract from `NXCALS` the value of given knobs in the machine at a given time. #### Plotting Scripts Plotting scripts for analysis outputs can be found in [`/omc3/plotting`](omc3/plotting): - `plot_spectrum.py` to generate plots from files generated by frequency analysis. - `plot_bbq.py` to generate plots from files generated by BBQ analysis. - `plot_amplitude_detuning.py` to generate plots from files generated by amplitude detuning analysis. - `plot_optics_measurements.py` to generate plots from files generated by optics_measurements. - `plot_tfs.py` all-purpose tfs-file plotter. #### Other Scripts Other general utility scripts are in [`/omc3/scripts`](omc3/scripts): - `update_nattune_in_linfile.py` to update the natural tune columns in the lin files by finding the highest peak in the spectrum in a given interval. - `write_madx_macros.py` to generate `MAD-X` tracking macros with observation points from a TWISS file. - `merge_kmod_results.py` to merge LSA results files created by kmod, and add the luminosity imbalance if the 4 needed IP/Beam files combination are present. - `fake_measurement_from_model.py` to create a fake measurement based on a model TWISS file. - `betabeatsrc_output_converter.py` to convert outputs from our old codes to `omc3`'s new standardized format. - `linfile_clean.py` to automatically clean given columns in lin files. Example use for these scripts can be found in the [`tests`](tests) files. Documentation including relevant flags and parameters can be found at . ## License This project is licensed under the `MIT License` - see the [LICENSE](LICENSE) file for details. %prep %autosetup -n omc3-0.11.1 %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-omc3 -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.11.1-1 - Package Spec generated