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+%global _empty_manifest_terminate_build 0
+Name:		python-ctgan
+Version:	0.7.1
+Release:	1
+Summary:	Create tabular synthetic data using a conditional GAN
+License:	BSL-1.1
+URL:		https://github.com/sdv-dev/CTGAN
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/63/a6/6ec86f10acc50e5c94aa19aae591b364ee6cfa5f1496b3914cf3f53ad862/ctgan-0.7.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-packaging
+Requires:	python3-rdt
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-torch
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-scikit-learn
+Requires:	python3-torch
+Requires:	python3-pip
+Requires:	python3-bumpversion
+Requires:	python3-watchdog
+Requires:	python3-flake8
+Requires:	python3-isort
+Requires:	python3-dlint
+Requires:	python3-flake8-debugger
+Requires:	python3-flake8-mock
+Requires:	python3-flake8-mutable
+Requires:	python3-flake8-absolute-import
+Requires:	python3-flake8-multiline-containers
+Requires:	python3-flake8-print
+Requires:	python3-flake8-quotes
+Requires:	python3-flake8-fixme
+Requires:	python3-flake8-expression-complexity
+Requires:	python3-flake8-eradicate
+Requires:	python3-flake8-builtins
+Requires:	python3-flake8-variables-names
+Requires:	python3-pandas-vet
+Requires:	python3-flake8-comprehensions
+Requires:	python3-flake8-docstrings
+Requires:	python3-flake8-sfs
+Requires:	python3-flake8-pytest-style
+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-rerunfailures
+Requires:	python3-pytest-cov
+Requires:	python3-rundoc
+Requires:	python3-pytest
+Requires:	python3-pytest-rerunfailures
+Requires:	python3-pytest-cov
+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
+## v0.7.0 - 2023-01-20
+This release adds support for python 3.10 and drops support for python 3.6. It also fixes a couple of the most common warnings that were surfacing.
+### New Features
+* Support Python 3.10 and 3.11 - Issue [#259](https://github.com/sdv-dev/CTGAN/issues/259) by @pvk-developer
+### Bugs Fixed
+* Fix SettingWithCopyWarning (may be leading to a numerical calculation bug) - Issue [#215](https://github.com/sdv-dev/CTGAN/issues/215) by @amontanez24
+* FutureWarning in data_transformer with pandas 1.5.0 - Issue [#246](https://github.com/sdv-dev/CTGAN/issues/246) by @amontanez24
+### Maintenance
+* CTGAN Package Maintenance Updates - Issue [#257](https://github.com/sdv-dev/CTGAN/issues/257) by @amontanez24
+## v0.6.0 - 2022-10-07
+This release renames the models in CTGAN. `CTGANSynthesizer` is now called `CTGAN` and `TVAESynthesizer` is now called `TVAE`.
+### New Features
+* Rename synthesizers - Issue [#243](https://github.com/sdv-dev/CTGAN/issues/243) by @amontanez24
+## v0.5.2 - 2022-08-18
+This release updates CTGAN to use the latest version of RDT. It also includes performance and robustness updates to the data transformer.
+### Issues closed
+* Bump rdt version - Issue [#242](https://github.com/sdv-dev/CTGAN/issues/242) by @katxiao
+* Single thread data transform is slow for huge table - Issue [#151](https://github.com/sdv-dev/CTGAN/issues/151) by @mfhbree
+* Fix RDT api - Issue [#232](https://github.com/sdv-dev/CTGAN/issues/232) by @pvk-developer
+* Update macos to use latest version. - Issue [#237](https://github.com/sdv-dev/CTGAN/issues/237) by @pvk-developer
+* Update the RDT version to 1.0 - Issue [#224](https://github.com/sdv-dev/CTGAN/issues/224) by @pvk-developer
+* Update slack invite link. - Issue [#222](https://github.com/sdv-dev/CTGAN/issues/222) by @pvk-developer
+* robustness fix, when data have less rows than the default number of cl… - Issue [#211](https://github.com/sdv-dev/CTGAN/issues/211) by @Deathn0t
+## v0.5.1 - 2022-02-25
+This release fixes a bug with the decoder instantiation, and also allows users to set a random state for the model
+fitting and sampling.
+### Issues closed
+* Update self.decoder with correct variable name - Issue [#203](https://github.com/sdv-dev/CTGAN/issues/203) by @tejuafonja
+* Add random state - Issue [#204](https://github.com/sdv-dev/CTGAN/issues/204) by @katxiao
+## v0.5.0 - 2021-11-18
+This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the
+rest of the SDV ecosystem, and upgrades to the latests [RDT](https://github.com/sdv-dev/RDT/releases/tag/v0.6.1)
+release.
+### Issues closed
+* Add support for Python 3.9 - Issue [#177](https://github.com/sdv-dev/CTGAN/issues/177) by @pvk-developer
+* Add pip check to CI workflows - Issue [#174](https://github.com/sdv-dev/CTGAN/issues/174) by @pvk-developer
+* Typo in `CTGAN` code - Issue [#158](https://github.com/sdv-dev/CTGAN/issues/158) by @ori-katz100 and @fealho
+## v0.4.3 - 2021-07-12
+Dependency upgrades to ensure compatibility with the rest of the SDV ecosystem.
+## v0.4.2 - 2021-04-27
+In this release, the way in which the loss function of the TVAE model was computed has been fixed.
+In addition, the default value of the `discriminator_decay` has been changed to a more optimal
+value. Also some improvements to the tests were added.
+### Issues closed
+* `TVAE`: loss function - Issue [#143](https://github.com/sdv-dev/CTGAN/issues/143) by @fealho and @DingfanChen
+* Set `discriminator_decay` to `1e-6` - Pull request [#145](https://github.com/sdv-dev/CTGAN/pull/145/) by @fealho
+* Adds unit tests - Pull requests [#140](https://github.com/sdv-dev/CTGAN/pull/140) by @fealho
+## v0.4.1 - 2021-03-30
+This release exposes all the hyperparameters which the user may find useful for both `CTGAN`
+and `TVAE`. Also `TVAE` can now be fitted on datasets that are shorter than the batch
+size and drops the last batch only if the data size is not divisible by the batch size.
+### Issues closed
+* `TVAE`: Adapt `batch_size` to data size - Issue [#135](https://github.com/sdv-dev/CTGAN/issues/135) by @fealho and @csala
+* `ValueError` from `validate_discre_columns` with `uniqueCombinationConstraint` - Issue [133](https://github.com/sdv-dev/CTGAN/issues/133) by @fealho and @MLjungg
+## v0.4.0 - 2021-02-24
+Maintenance relese to upgrade dependencies to ensure compatibility with the rest
+of the SDV libraries.
+Also add a validation on the CTGAN `condition_column` and `condition_value` inputs.
+### Improvements
+* Validate condition_column and condition_value - Issue [#124](https://github.com/sdv-dev/CTGAN/issues/124) by @fealho
+## v0.3.1 - 2021-01-27
+### Improvements
+* Check discrete_columns valid before fitting - [Issue #35](https://github.com/sdv-dev/CTGAN/issues/35) by @fealho
+## Bugs fixed
+* ValueError: max() arg is an empty sequence - [Issue #115](https://github.com/sdv-dev/CTGAN/issues/115) by @fealho
+## v0.3.0 - 2020-12-18
+In this release we add a new TVAE model which was presented in the original CTGAN paper.
+It also exposes more hyperparameters and moves epochs and log_frequency from fit to the constructor.
+A new verbose argument has been added to optionally disable unnecessary printing, and a new hyperparameter
+called `discriminator_steps` has been added to CTGAN to control the number of optimization steps performed
+in the discriminator for each generator epoch.
+The code has also been reorganized and cleaned up for better readability and interpretability.
+Special thanks to @Baukebrenninkmeijer @fealho @leix28 @csala for the contributions!
+### Improvements
+* Add TVAE - [Issue #111](https://github.com/sdv-dev/CTGAN/issues/111) by @fealho
+* Move `log_frequency` to `__init__` - [Issue #102](https://github.com/sdv-dev/CTGAN/issues/102) by @fealho
+* Add discriminator steps hyperparameter - [Issue #101](https://github.com/sdv-dev/CTGAN/issues/101) by @Baukebrenninkmeijer
+* Code cleanup / Expose hyperparameters - [Issue #59](https://github.com/sdv-dev/CTGAN/issues/59) by @fealho and @leix28
+* Publish to conda repo - [Issue #54](https://github.com/sdv-dev/CTGAN/issues/54) by @fealho
+### Bugs fixed
+* Fixed NaN != NaN counting bug. - [Issue #100](https://github.com/sdv-dev/CTGAN/issues/100) by @fealho
+* Update dependencies and testing - [Issue #90](https://github.com/sdv-dev/CTGAN/issues/90) by @csala
+## v0.2.2 - 2020-11-13
+In this release we introduce several minor improvements to make CTGAN more versatile and
+propertly support new types of data, such as categorical NaN values, as well as conditional
+sampling and features to save and load models.
+Additionally, the dependency ranges and python versions have been updated to support up
+to date runtimes.
+Many thanks @fealho @leix28 @csala @oregonpillow and @lurosenb for working on making this release possible!
+### Improvements
+* Drop Python 3.5 support - [Issue #79](https://github.com/sdv-dev/CTGAN/issues/79) by @fealho
+* Support NaN values in categorical variables - [Issue #78](https://github.com/sdv-dev/CTGAN/issues/78) by @fealho
+* Sample synthetic data conditioning on a discrete column - [Issue #69](https://github.com/sdv-dev/CTGAN/issues/69) by @leix28
+* Support recent versions of pandas - [Issue #57](https://github.com/sdv-dev/CTGAN/issues/57) by @csala
+* Easy solution for restoring original dtypes - [Issue #26](https://github.com/sdv-dev/CTGAN/issues/26) by @oregonpillow
+### Bugs fixed
+* Loss to nan - [Issue #73](https://github.com/sdv-dev/CTGAN/issues/73) by @fealho
+* Swapped the sklearn utils testing import statement - [Issue #53](https://github.com/sdv-dev/CTGAN/issues/53) by @lurosenb
+## v0.2.1 - 2020-01-27
+Minor version including changes to ensure the logs are properly printed and
+the option to disable the log transformation to the discrete column frequencies.
+Special thanks to @kevinykuo for the contributions!
+### Issues Resolved:
+* Option to sample from true data frequency instead of logged frequency - [Issue #16](https://github.com/sdv-dev/CTGAN/issues/16) by @kevinykuo
+* Flush stdout buffer for epoch updates - [Issue #14](https://github.com/sdv-dev/CTGAN/issues/14) by @kevinykuo
+## v0.2.0 - 2019-12-18
+Reorganization of the project structure with a new Python API, new Command Line Interface
+and increased data format support.
+### Issues Resolved:
+* Reorganize the project structure - [Issue #10](https://github.com/sdv-dev/CTGAN/issues/10) by @csala
+* Move epochs to the fit method - [Issue #5](https://github.com/sdv-dev/CTGAN/issues/5) by @csala
+## v0.1.0 - 2019-11-07
+First Release - NeurIPS 2019 Version.
+
+%package -n python3-ctgan
+Summary:	Create tabular synthetic data using a conditional GAN
+Provides:	python-ctgan
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ctgan
+<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
+## v0.7.0 - 2023-01-20
+This release adds support for python 3.10 and drops support for python 3.6. It also fixes a couple of the most common warnings that were surfacing.
+### New Features
+* Support Python 3.10 and 3.11 - Issue [#259](https://github.com/sdv-dev/CTGAN/issues/259) by @pvk-developer
+### Bugs Fixed
+* Fix SettingWithCopyWarning (may be leading to a numerical calculation bug) - Issue [#215](https://github.com/sdv-dev/CTGAN/issues/215) by @amontanez24
+* FutureWarning in data_transformer with pandas 1.5.0 - Issue [#246](https://github.com/sdv-dev/CTGAN/issues/246) by @amontanez24
+### Maintenance
+* CTGAN Package Maintenance Updates - Issue [#257](https://github.com/sdv-dev/CTGAN/issues/257) by @amontanez24
+## v0.6.0 - 2022-10-07
+This release renames the models in CTGAN. `CTGANSynthesizer` is now called `CTGAN` and `TVAESynthesizer` is now called `TVAE`.
+### New Features
+* Rename synthesizers - Issue [#243](https://github.com/sdv-dev/CTGAN/issues/243) by @amontanez24
+## v0.5.2 - 2022-08-18
+This release updates CTGAN to use the latest version of RDT. It also includes performance and robustness updates to the data transformer.
+### Issues closed
+* Bump rdt version - Issue [#242](https://github.com/sdv-dev/CTGAN/issues/242) by @katxiao
+* Single thread data transform is slow for huge table - Issue [#151](https://github.com/sdv-dev/CTGAN/issues/151) by @mfhbree
+* Fix RDT api - Issue [#232](https://github.com/sdv-dev/CTGAN/issues/232) by @pvk-developer
+* Update macos to use latest version. - Issue [#237](https://github.com/sdv-dev/CTGAN/issues/237) by @pvk-developer
+* Update the RDT version to 1.0 - Issue [#224](https://github.com/sdv-dev/CTGAN/issues/224) by @pvk-developer
+* Update slack invite link. - Issue [#222](https://github.com/sdv-dev/CTGAN/issues/222) by @pvk-developer
+* robustness fix, when data have less rows than the default number of cl… - Issue [#211](https://github.com/sdv-dev/CTGAN/issues/211) by @Deathn0t
+## v0.5.1 - 2022-02-25
+This release fixes a bug with the decoder instantiation, and also allows users to set a random state for the model
+fitting and sampling.
+### Issues closed
+* Update self.decoder with correct variable name - Issue [#203](https://github.com/sdv-dev/CTGAN/issues/203) by @tejuafonja
+* Add random state - Issue [#204](https://github.com/sdv-dev/CTGAN/issues/204) by @katxiao
+## v0.5.0 - 2021-11-18
+This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the
+rest of the SDV ecosystem, and upgrades to the latests [RDT](https://github.com/sdv-dev/RDT/releases/tag/v0.6.1)
+release.
+### Issues closed
+* Add support for Python 3.9 - Issue [#177](https://github.com/sdv-dev/CTGAN/issues/177) by @pvk-developer
+* Add pip check to CI workflows - Issue [#174](https://github.com/sdv-dev/CTGAN/issues/174) by @pvk-developer
+* Typo in `CTGAN` code - Issue [#158](https://github.com/sdv-dev/CTGAN/issues/158) by @ori-katz100 and @fealho
+## v0.4.3 - 2021-07-12
+Dependency upgrades to ensure compatibility with the rest of the SDV ecosystem.
+## v0.4.2 - 2021-04-27
+In this release, the way in which the loss function of the TVAE model was computed has been fixed.
+In addition, the default value of the `discriminator_decay` has been changed to a more optimal
+value. Also some improvements to the tests were added.
+### Issues closed
+* `TVAE`: loss function - Issue [#143](https://github.com/sdv-dev/CTGAN/issues/143) by @fealho and @DingfanChen
+* Set `discriminator_decay` to `1e-6` - Pull request [#145](https://github.com/sdv-dev/CTGAN/pull/145/) by @fealho
+* Adds unit tests - Pull requests [#140](https://github.com/sdv-dev/CTGAN/pull/140) by @fealho
+## v0.4.1 - 2021-03-30
+This release exposes all the hyperparameters which the user may find useful for both `CTGAN`
+and `TVAE`. Also `TVAE` can now be fitted on datasets that are shorter than the batch
+size and drops the last batch only if the data size is not divisible by the batch size.
+### Issues closed
+* `TVAE`: Adapt `batch_size` to data size - Issue [#135](https://github.com/sdv-dev/CTGAN/issues/135) by @fealho and @csala
+* `ValueError` from `validate_discre_columns` with `uniqueCombinationConstraint` - Issue [133](https://github.com/sdv-dev/CTGAN/issues/133) by @fealho and @MLjungg
+## v0.4.0 - 2021-02-24
+Maintenance relese to upgrade dependencies to ensure compatibility with the rest
+of the SDV libraries.
+Also add a validation on the CTGAN `condition_column` and `condition_value` inputs.
+### Improvements
+* Validate condition_column and condition_value - Issue [#124](https://github.com/sdv-dev/CTGAN/issues/124) by @fealho
+## v0.3.1 - 2021-01-27
+### Improvements
+* Check discrete_columns valid before fitting - [Issue #35](https://github.com/sdv-dev/CTGAN/issues/35) by @fealho
+## Bugs fixed
+* ValueError: max() arg is an empty sequence - [Issue #115](https://github.com/sdv-dev/CTGAN/issues/115) by @fealho
+## v0.3.0 - 2020-12-18
+In this release we add a new TVAE model which was presented in the original CTGAN paper.
+It also exposes more hyperparameters and moves epochs and log_frequency from fit to the constructor.
+A new verbose argument has been added to optionally disable unnecessary printing, and a new hyperparameter
+called `discriminator_steps` has been added to CTGAN to control the number of optimization steps performed
+in the discriminator for each generator epoch.
+The code has also been reorganized and cleaned up for better readability and interpretability.
+Special thanks to @Baukebrenninkmeijer @fealho @leix28 @csala for the contributions!
+### Improvements
+* Add TVAE - [Issue #111](https://github.com/sdv-dev/CTGAN/issues/111) by @fealho
+* Move `log_frequency` to `__init__` - [Issue #102](https://github.com/sdv-dev/CTGAN/issues/102) by @fealho
+* Add discriminator steps hyperparameter - [Issue #101](https://github.com/sdv-dev/CTGAN/issues/101) by @Baukebrenninkmeijer
+* Code cleanup / Expose hyperparameters - [Issue #59](https://github.com/sdv-dev/CTGAN/issues/59) by @fealho and @leix28
+* Publish to conda repo - [Issue #54](https://github.com/sdv-dev/CTGAN/issues/54) by @fealho
+### Bugs fixed
+* Fixed NaN != NaN counting bug. - [Issue #100](https://github.com/sdv-dev/CTGAN/issues/100) by @fealho
+* Update dependencies and testing - [Issue #90](https://github.com/sdv-dev/CTGAN/issues/90) by @csala
+## v0.2.2 - 2020-11-13
+In this release we introduce several minor improvements to make CTGAN more versatile and
+propertly support new types of data, such as categorical NaN values, as well as conditional
+sampling and features to save and load models.
+Additionally, the dependency ranges and python versions have been updated to support up
+to date runtimes.
+Many thanks @fealho @leix28 @csala @oregonpillow and @lurosenb for working on making this release possible!
+### Improvements
+* Drop Python 3.5 support - [Issue #79](https://github.com/sdv-dev/CTGAN/issues/79) by @fealho
+* Support NaN values in categorical variables - [Issue #78](https://github.com/sdv-dev/CTGAN/issues/78) by @fealho
+* Sample synthetic data conditioning on a discrete column - [Issue #69](https://github.com/sdv-dev/CTGAN/issues/69) by @leix28
+* Support recent versions of pandas - [Issue #57](https://github.com/sdv-dev/CTGAN/issues/57) by @csala
+* Easy solution for restoring original dtypes - [Issue #26](https://github.com/sdv-dev/CTGAN/issues/26) by @oregonpillow
+### Bugs fixed
+* Loss to nan - [Issue #73](https://github.com/sdv-dev/CTGAN/issues/73) by @fealho
+* Swapped the sklearn utils testing import statement - [Issue #53](https://github.com/sdv-dev/CTGAN/issues/53) by @lurosenb
+## v0.2.1 - 2020-01-27
+Minor version including changes to ensure the logs are properly printed and
+the option to disable the log transformation to the discrete column frequencies.
+Special thanks to @kevinykuo for the contributions!
+### Issues Resolved:
+* Option to sample from true data frequency instead of logged frequency - [Issue #16](https://github.com/sdv-dev/CTGAN/issues/16) by @kevinykuo
+* Flush stdout buffer for epoch updates - [Issue #14](https://github.com/sdv-dev/CTGAN/issues/14) by @kevinykuo
+## v0.2.0 - 2019-12-18
+Reorganization of the project structure with a new Python API, new Command Line Interface
+and increased data format support.
+### Issues Resolved:
+* Reorganize the project structure - [Issue #10](https://github.com/sdv-dev/CTGAN/issues/10) by @csala
+* Move epochs to the fit method - [Issue #5](https://github.com/sdv-dev/CTGAN/issues/5) by @csala
+## v0.1.0 - 2019-11-07
+First Release - NeurIPS 2019 Version.
+
+%package help
+Summary:	Development documents and examples for ctgan
+Provides:	python3-ctgan-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
+## v0.7.0 - 2023-01-20
+This release adds support for python 3.10 and drops support for python 3.6. It also fixes a couple of the most common warnings that were surfacing.
+### New Features
+* Support Python 3.10 and 3.11 - Issue [#259](https://github.com/sdv-dev/CTGAN/issues/259) by @pvk-developer
+### Bugs Fixed
+* Fix SettingWithCopyWarning (may be leading to a numerical calculation bug) - Issue [#215](https://github.com/sdv-dev/CTGAN/issues/215) by @amontanez24
+* FutureWarning in data_transformer with pandas 1.5.0 - Issue [#246](https://github.com/sdv-dev/CTGAN/issues/246) by @amontanez24
+### Maintenance
+* CTGAN Package Maintenance Updates - Issue [#257](https://github.com/sdv-dev/CTGAN/issues/257) by @amontanez24
+## v0.6.0 - 2022-10-07
+This release renames the models in CTGAN. `CTGANSynthesizer` is now called `CTGAN` and `TVAESynthesizer` is now called `TVAE`.
+### New Features
+* Rename synthesizers - Issue [#243](https://github.com/sdv-dev/CTGAN/issues/243) by @amontanez24
+## v0.5.2 - 2022-08-18
+This release updates CTGAN to use the latest version of RDT. It also includes performance and robustness updates to the data transformer.
+### Issues closed
+* Bump rdt version - Issue [#242](https://github.com/sdv-dev/CTGAN/issues/242) by @katxiao
+* Single thread data transform is slow for huge table - Issue [#151](https://github.com/sdv-dev/CTGAN/issues/151) by @mfhbree
+* Fix RDT api - Issue [#232](https://github.com/sdv-dev/CTGAN/issues/232) by @pvk-developer
+* Update macos to use latest version. - Issue [#237](https://github.com/sdv-dev/CTGAN/issues/237) by @pvk-developer
+* Update the RDT version to 1.0 - Issue [#224](https://github.com/sdv-dev/CTGAN/issues/224) by @pvk-developer
+* Update slack invite link. - Issue [#222](https://github.com/sdv-dev/CTGAN/issues/222) by @pvk-developer
+* robustness fix, when data have less rows than the default number of cl… - Issue [#211](https://github.com/sdv-dev/CTGAN/issues/211) by @Deathn0t
+## v0.5.1 - 2022-02-25
+This release fixes a bug with the decoder instantiation, and also allows users to set a random state for the model
+fitting and sampling.
+### Issues closed
+* Update self.decoder with correct variable name - Issue [#203](https://github.com/sdv-dev/CTGAN/issues/203) by @tejuafonja
+* Add random state - Issue [#204](https://github.com/sdv-dev/CTGAN/issues/204) by @katxiao
+## v0.5.0 - 2021-11-18
+This release adds support for Python 3.9 and updates dependencies to ensure compatibility with the
+rest of the SDV ecosystem, and upgrades to the latests [RDT](https://github.com/sdv-dev/RDT/releases/tag/v0.6.1)
+release.
+### Issues closed
+* Add support for Python 3.9 - Issue [#177](https://github.com/sdv-dev/CTGAN/issues/177) by @pvk-developer
+* Add pip check to CI workflows - Issue [#174](https://github.com/sdv-dev/CTGAN/issues/174) by @pvk-developer
+* Typo in `CTGAN` code - Issue [#158](https://github.com/sdv-dev/CTGAN/issues/158) by @ori-katz100 and @fealho
+## v0.4.3 - 2021-07-12
+Dependency upgrades to ensure compatibility with the rest of the SDV ecosystem.
+## v0.4.2 - 2021-04-27
+In this release, the way in which the loss function of the TVAE model was computed has been fixed.
+In addition, the default value of the `discriminator_decay` has been changed to a more optimal
+value. Also some improvements to the tests were added.
+### Issues closed
+* `TVAE`: loss function - Issue [#143](https://github.com/sdv-dev/CTGAN/issues/143) by @fealho and @DingfanChen
+* Set `discriminator_decay` to `1e-6` - Pull request [#145](https://github.com/sdv-dev/CTGAN/pull/145/) by @fealho
+* Adds unit tests - Pull requests [#140](https://github.com/sdv-dev/CTGAN/pull/140) by @fealho
+## v0.4.1 - 2021-03-30
+This release exposes all the hyperparameters which the user may find useful for both `CTGAN`
+and `TVAE`. Also `TVAE` can now be fitted on datasets that are shorter than the batch
+size and drops the last batch only if the data size is not divisible by the batch size.
+### Issues closed
+* `TVAE`: Adapt `batch_size` to data size - Issue [#135](https://github.com/sdv-dev/CTGAN/issues/135) by @fealho and @csala
+* `ValueError` from `validate_discre_columns` with `uniqueCombinationConstraint` - Issue [133](https://github.com/sdv-dev/CTGAN/issues/133) by @fealho and @MLjungg
+## v0.4.0 - 2021-02-24
+Maintenance relese to upgrade dependencies to ensure compatibility with the rest
+of the SDV libraries.
+Also add a validation on the CTGAN `condition_column` and `condition_value` inputs.
+### Improvements
+* Validate condition_column and condition_value - Issue [#124](https://github.com/sdv-dev/CTGAN/issues/124) by @fealho
+## v0.3.1 - 2021-01-27
+### Improvements
+* Check discrete_columns valid before fitting - [Issue #35](https://github.com/sdv-dev/CTGAN/issues/35) by @fealho
+## Bugs fixed
+* ValueError: max() arg is an empty sequence - [Issue #115](https://github.com/sdv-dev/CTGAN/issues/115) by @fealho
+## v0.3.0 - 2020-12-18
+In this release we add a new TVAE model which was presented in the original CTGAN paper.
+It also exposes more hyperparameters and moves epochs and log_frequency from fit to the constructor.
+A new verbose argument has been added to optionally disable unnecessary printing, and a new hyperparameter
+called `discriminator_steps` has been added to CTGAN to control the number of optimization steps performed
+in the discriminator for each generator epoch.
+The code has also been reorganized and cleaned up for better readability and interpretability.
+Special thanks to @Baukebrenninkmeijer @fealho @leix28 @csala for the contributions!
+### Improvements
+* Add TVAE - [Issue #111](https://github.com/sdv-dev/CTGAN/issues/111) by @fealho
+* Move `log_frequency` to `__init__` - [Issue #102](https://github.com/sdv-dev/CTGAN/issues/102) by @fealho
+* Add discriminator steps hyperparameter - [Issue #101](https://github.com/sdv-dev/CTGAN/issues/101) by @Baukebrenninkmeijer
+* Code cleanup / Expose hyperparameters - [Issue #59](https://github.com/sdv-dev/CTGAN/issues/59) by @fealho and @leix28
+* Publish to conda repo - [Issue #54](https://github.com/sdv-dev/CTGAN/issues/54) by @fealho
+### Bugs fixed
+* Fixed NaN != NaN counting bug. - [Issue #100](https://github.com/sdv-dev/CTGAN/issues/100) by @fealho
+* Update dependencies and testing - [Issue #90](https://github.com/sdv-dev/CTGAN/issues/90) by @csala
+## v0.2.2 - 2020-11-13
+In this release we introduce several minor improvements to make CTGAN more versatile and
+propertly support new types of data, such as categorical NaN values, as well as conditional
+sampling and features to save and load models.
+Additionally, the dependency ranges and python versions have been updated to support up
+to date runtimes.
+Many thanks @fealho @leix28 @csala @oregonpillow and @lurosenb for working on making this release possible!
+### Improvements
+* Drop Python 3.5 support - [Issue #79](https://github.com/sdv-dev/CTGAN/issues/79) by @fealho
+* Support NaN values in categorical variables - [Issue #78](https://github.com/sdv-dev/CTGAN/issues/78) by @fealho
+* Sample synthetic data conditioning on a discrete column - [Issue #69](https://github.com/sdv-dev/CTGAN/issues/69) by @leix28
+* Support recent versions of pandas - [Issue #57](https://github.com/sdv-dev/CTGAN/issues/57) by @csala
+* Easy solution for restoring original dtypes - [Issue #26](https://github.com/sdv-dev/CTGAN/issues/26) by @oregonpillow
+### Bugs fixed
+* Loss to nan - [Issue #73](https://github.com/sdv-dev/CTGAN/issues/73) by @fealho
+* Swapped the sklearn utils testing import statement - [Issue #53](https://github.com/sdv-dev/CTGAN/issues/53) by @lurosenb
+## v0.2.1 - 2020-01-27
+Minor version including changes to ensure the logs are properly printed and
+the option to disable the log transformation to the discrete column frequencies.
+Special thanks to @kevinykuo for the contributions!
+### Issues Resolved:
+* Option to sample from true data frequency instead of logged frequency - [Issue #16](https://github.com/sdv-dev/CTGAN/issues/16) by @kevinykuo
+* Flush stdout buffer for epoch updates - [Issue #14](https://github.com/sdv-dev/CTGAN/issues/14) by @kevinykuo
+## v0.2.0 - 2019-12-18
+Reorganization of the project structure with a new Python API, new Command Line Interface
+and increased data format support.
+### Issues Resolved:
+* Reorganize the project structure - [Issue #10](https://github.com/sdv-dev/CTGAN/issues/10) by @csala
+* Move epochs to the fit method - [Issue #5](https://github.com/sdv-dev/CTGAN/issues/5) by @csala
+## v0.1.0 - 2019-11-07
+First Release - NeurIPS 2019 Version.
+
+%prep
+%autosetup -n ctgan-0.7.1
+
+%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-ctgan -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.7.1-1
+- Package Spec generated