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diff --git a/python-deepecho.spec b/python-deepecho.spec new file mode 100644 index 0000000..48d808c --- /dev/null +++ b/python-deepecho.spec @@ -0,0 +1,302 @@ +%global _empty_manifest_terminate_build 0 +Name: python-deepecho +Version: 0.4.0 +Release: 1 +Summary: Create sequential synthetic data of mixed types using a GAN. +License: BSL-1.1 +URL: https://github.com/sdv-dev/DeepEcho +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/98/84/7040528e28a57d7d2e6d28b40896df82501a38fa179f32d289ae974f1552/deepecho-0.4.0.tar.gz +BuildArch: noarch + +Requires: python3-tqdm +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-torch +Requires: python3-numpy +Requires: python3-pandas +Requires: python3-torch +Requires: python3-setuptools +Requires: python3-bumpversion +Requires: python3-pip +Requires: python3-watchdog +Requires: python3-flake8 +Requires: python3-flake8-absolute-import +Requires: python3-flake8-docstrings +Requires: python3-flake8-sfs +Requires: python3-isort +Requires: python3-pylint +Requires: python3-flake8-builtins +Requires: python3-flake8-debugger +Requires: python3-flake8-mock +Requires: python3-dlint +Requires: python3-flake8-eradicate +Requires: python3-flake8-mutable +Requires: python3-flake8-fixme +Requires: python3-flake8-multiline-containers +Requires: python3-flake8-quotes +Requires: python3-flake8-variables-names +Requires: python3-pep8-naming +Requires: python3-flake8-expression-complexity +Requires: python3-flake8-print +Requires: python3-autoflake +Requires: python3-autopep8 +Requires: python3-twine +Requires: python3-wheel +Requires: python3-coverage +Requires: python3-tox +Requires: python3-invoke +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-rerunfailures +Requires: python3-jupyter +Requires: python3-rundoc +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-pytest-rerunfailures +Requires: python3-jupyter +Requires: python3-rundoc + +%description +<div align="center"> +<a href="https://datacebo.com"><img align="center" width=40% src="https://github.com/sdv-dev/SDV/blob/master/docs/images/DataCebo.png"></img></a> +</div> +<br/> +<br/> +[The Synthetic Data Vault Project](https://sdv.dev) was first created at MIT's [Data to AI Lab]( +https://dai.lids.mit.edu/) in 2016. After 4 years of research and traction with enterprise, we +created [DataCebo](https://datacebo.com) in 2020 with the goal of growing the project. +Today, DataCebo is the proud developer of SDV, the largest ecosystem for +synthetic data generation & evaluation. It is home to multiple libraries that support synthetic +data, including: +* 🔄 Data discovery & transformation. Reverse the transforms to reproduce realistic data. +* 🧠Multiple machine learning models -- ranging from Copulas to Deep Learning -- to create tabular, + multi table and time series data. +* 📊 Measuring quality and privacy of synthetic data, and comparing different synthetic data + generation models. +[Get started using the SDV package](https://sdv.dev/SDV/getting_started/install.html) -- a fully +integrated solution and your one-stop shop for synthetic data. Or, use the standalone libraries +for specific needs. +# History +## 0.3.0 - 2021-11-15 +This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the rest +of the SDV ecosystem. +* Add support for Python 3.9 - Issue [#41](https://github.com/sdv-dev/DeepEcho/issues/41) by @fealho +* Add pip check to CI workflows internal improvements - Issue [#39](https://github.com/sdv-dev/DeepEcho/issues/39) by @pvk-developer +* Add support for pylint>2.7.2 housekeeping - Issue [#33](https://github.com/sdv-dev/DeepEcho/issues/33) by @fealho +* Add support for torch>=1.8 housekeeping - Issue [#32](https://github.com/sdv-dev/DeepEcho/issues/32) by @fealho +## 0.2.1 - 2021-10-12 +This release fixes a bug with how DeepEcho handles NaN values. +* Handling NaN's bug - Issue [#35](https://github.com/sdv-dev/DeepEcho/issues/35) by @fealho +## 0.2.0 - 2021-02-24 +Maintenance release to update dependencies and ensure compatibility with the rest +of the SDV ecosystem libraries. +## 0.1.4 - 2020-10-16 +Minor maintenance version to update dependencies and documentation, and +also make the demo data loading function parse dates properly. +## 0.1.3 - 2020-10-16 +This version includes several minor improvements to the PAR model and the +way the sequences are generated: +* Sequences can now be generated without dropping the sequence index. +* The PAR model learns the min and max length of the sequence from the input data. +* NaN values are properly supported for both categorical and numerical columns. +* NaN values are generated for numerical columns only if there were NaNs in the input data. +* Constant columns can now be modeled. +## 0.1.2 - 2020-09-15 +Add BasicGAN Model and additional benchmarking results. +## 0.1.1 - 2020-08-15 +This release includes a few new features to make DeepEcho work on more types of datasets +as well as to making it easier to add new datasets to the benchmarking framework. +* Add `segment_size` and `sequence_index` arguments to `fit` method. +* Add `sequence_length` as an optional argument to `sample` and `sample_sequence` methods. +* Update the Dataset storage format to add `sequence_index` and versioning. +* Separate the sequence assembling process in its own `deepecho.sequences` module. +* Add function `make_dataset` to create a dataset from a dataframe and just a few column names. +* Add notebook tutorial to show how to create a datasets and use them. +## 0.1.0 - 2020-08-11 +First release. +Included Features: +* PARModel +* Demo dataset and tutorials +* Benchmarking Framework +* Support and instructions for benchmarking on a Kubernetes cluster. + +%package -n python3-deepecho +Summary: Create sequential synthetic data of mixed types using a GAN. +Provides: python-deepecho +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-deepecho +<div align="center"> +<a href="https://datacebo.com"><img align="center" width=40% src="https://github.com/sdv-dev/SDV/blob/master/docs/images/DataCebo.png"></img></a> +</div> +<br/> +<br/> +[The Synthetic Data Vault Project](https://sdv.dev) was first created at MIT's [Data to AI Lab]( +https://dai.lids.mit.edu/) in 2016. After 4 years of research and traction with enterprise, we +created [DataCebo](https://datacebo.com) in 2020 with the goal of growing the project. +Today, DataCebo is the proud developer of SDV, the largest ecosystem for +synthetic data generation & evaluation. It is home to multiple libraries that support synthetic +data, including: +* 🔄 Data discovery & transformation. Reverse the transforms to reproduce realistic data. +* 🧠Multiple machine learning models -- ranging from Copulas to Deep Learning -- to create tabular, + multi table and time series data. +* 📊 Measuring quality and privacy of synthetic data, and comparing different synthetic data + generation models. +[Get started using the SDV package](https://sdv.dev/SDV/getting_started/install.html) -- a fully +integrated solution and your one-stop shop for synthetic data. Or, use the standalone libraries +for specific needs. +# History +## 0.3.0 - 2021-11-15 +This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the rest +of the SDV ecosystem. +* Add support for Python 3.9 - Issue [#41](https://github.com/sdv-dev/DeepEcho/issues/41) by @fealho +* Add pip check to CI workflows internal improvements - Issue [#39](https://github.com/sdv-dev/DeepEcho/issues/39) by @pvk-developer +* Add support for pylint>2.7.2 housekeeping - Issue [#33](https://github.com/sdv-dev/DeepEcho/issues/33) by @fealho +* Add support for torch>=1.8 housekeeping - Issue [#32](https://github.com/sdv-dev/DeepEcho/issues/32) by @fealho +## 0.2.1 - 2021-10-12 +This release fixes a bug with how DeepEcho handles NaN values. +* Handling NaN's bug - Issue [#35](https://github.com/sdv-dev/DeepEcho/issues/35) by @fealho +## 0.2.0 - 2021-02-24 +Maintenance release to update dependencies and ensure compatibility with the rest +of the SDV ecosystem libraries. +## 0.1.4 - 2020-10-16 +Minor maintenance version to update dependencies and documentation, and +also make the demo data loading function parse dates properly. +## 0.1.3 - 2020-10-16 +This version includes several minor improvements to the PAR model and the +way the sequences are generated: +* Sequences can now be generated without dropping the sequence index. +* The PAR model learns the min and max length of the sequence from the input data. +* NaN values are properly supported for both categorical and numerical columns. +* NaN values are generated for numerical columns only if there were NaNs in the input data. +* Constant columns can now be modeled. +## 0.1.2 - 2020-09-15 +Add BasicGAN Model and additional benchmarking results. +## 0.1.1 - 2020-08-15 +This release includes a few new features to make DeepEcho work on more types of datasets +as well as to making it easier to add new datasets to the benchmarking framework. +* Add `segment_size` and `sequence_index` arguments to `fit` method. +* Add `sequence_length` as an optional argument to `sample` and `sample_sequence` methods. +* Update the Dataset storage format to add `sequence_index` and versioning. +* Separate the sequence assembling process in its own `deepecho.sequences` module. +* Add function `make_dataset` to create a dataset from a dataframe and just a few column names. +* Add notebook tutorial to show how to create a datasets and use them. +## 0.1.0 - 2020-08-11 +First release. +Included Features: +* PARModel +* Demo dataset and tutorials +* Benchmarking Framework +* Support and instructions for benchmarking on a Kubernetes cluster. + +%package help +Summary: Development documents and examples for deepecho +Provides: python3-deepecho-doc +%description help +<div align="center"> +<a href="https://datacebo.com"><img align="center" width=40% src="https://github.com/sdv-dev/SDV/blob/master/docs/images/DataCebo.png"></img></a> +</div> +<br/> +<br/> +[The Synthetic Data Vault Project](https://sdv.dev) was first created at MIT's [Data to AI Lab]( +https://dai.lids.mit.edu/) in 2016. After 4 years of research and traction with enterprise, we +created [DataCebo](https://datacebo.com) in 2020 with the goal of growing the project. +Today, DataCebo is the proud developer of SDV, the largest ecosystem for +synthetic data generation & evaluation. It is home to multiple libraries that support synthetic +data, including: +* 🔄 Data discovery & transformation. Reverse the transforms to reproduce realistic data. +* 🧠Multiple machine learning models -- ranging from Copulas to Deep Learning -- to create tabular, + multi table and time series data. +* 📊 Measuring quality and privacy of synthetic data, and comparing different synthetic data + generation models. +[Get started using the SDV package](https://sdv.dev/SDV/getting_started/install.html) -- a fully +integrated solution and your one-stop shop for synthetic data. Or, use the standalone libraries +for specific needs. +# History +## 0.3.0 - 2021-11-15 +This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the rest +of the SDV ecosystem. +* Add support for Python 3.9 - Issue [#41](https://github.com/sdv-dev/DeepEcho/issues/41) by @fealho +* Add pip check to CI workflows internal improvements - Issue [#39](https://github.com/sdv-dev/DeepEcho/issues/39) by @pvk-developer +* Add support for pylint>2.7.2 housekeeping - Issue [#33](https://github.com/sdv-dev/DeepEcho/issues/33) by @fealho +* Add support for torch>=1.8 housekeeping - Issue [#32](https://github.com/sdv-dev/DeepEcho/issues/32) by @fealho +## 0.2.1 - 2021-10-12 +This release fixes a bug with how DeepEcho handles NaN values. +* Handling NaN's bug - Issue [#35](https://github.com/sdv-dev/DeepEcho/issues/35) by @fealho +## 0.2.0 - 2021-02-24 +Maintenance release to update dependencies and ensure compatibility with the rest +of the SDV ecosystem libraries. +## 0.1.4 - 2020-10-16 +Minor maintenance version to update dependencies and documentation, and +also make the demo data loading function parse dates properly. +## 0.1.3 - 2020-10-16 +This version includes several minor improvements to the PAR model and the +way the sequences are generated: +* Sequences can now be generated without dropping the sequence index. +* The PAR model learns the min and max length of the sequence from the input data. +* NaN values are properly supported for both categorical and numerical columns. +* NaN values are generated for numerical columns only if there were NaNs in the input data. +* Constant columns can now be modeled. +## 0.1.2 - 2020-09-15 +Add BasicGAN Model and additional benchmarking results. +## 0.1.1 - 2020-08-15 +This release includes a few new features to make DeepEcho work on more types of datasets +as well as to making it easier to add new datasets to the benchmarking framework. +* Add `segment_size` and `sequence_index` arguments to `fit` method. +* Add `sequence_length` as an optional argument to `sample` and `sample_sequence` methods. +* Update the Dataset storage format to add `sequence_index` and versioning. +* Separate the sequence assembling process in its own `deepecho.sequences` module. +* Add function `make_dataset` to create a dataset from a dataframe and just a few column names. +* Add notebook tutorial to show how to create a datasets and use them. +## 0.1.0 - 2020-08-11 +First release. +Included Features: +* PARModel +* Demo dataset and tutorials +* Benchmarking Framework +* Support and instructions for benchmarking on a Kubernetes cluster. + +%prep +%autosetup -n deepecho-0.4.0 + +%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-deepecho -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1 +- Package Spec generated |