automatic import of python-growpy

3 files changed, 332 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..3087bc4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/growpy-0.0.12.tar.gz
diff --git a/python-growpy.spec b/python-growpy.spec
new file mode 100644
index 0000000..7097321
--- /dev/null
+++ b/python-growpy.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-growpy
+Version:	0.0.12
+Release:	1
+Summary:	Trainable growth curves.
+License:	BSD License
+URL:		https://github.com/galenseilis/GrowPy
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/5c/50/085673a7e591f04bb0e9e3cb8773a32d18f59d99947bdf40afd96e821f77/growpy-0.0.12.tar.gz
+BuildArch:	noarch
+
+
+%description
+# GrowPy
+
+## Project Description
+
+For questions and comments contact the developer directly at: <seilis@unbc.ca>.
+
+
+## Installation
+GrowPy is available through [PyPi](https://pypi.org/project/growpy/), and can be installed via `pip` using
+```
+pip install growpy
+```
+or 
+```
+pip3 install growpy
+```
+
+## Example Usage
+
+```python
+from growpy import models
+import tensorflow as tf
+import matplotlib.pyplot as plt
+
+# Constuct/Import data
+x = tf.abs(tf.random.uniform((100000,1), 0, 10))
+y = 500 / (1 + (500-50)/50 * tf.exp(-0.5 * x))
+
+# Construct model
+model = models.GeneralizedLogistic()
+optimizer = tf.keras.optimizers.Nadam()
+loss = tf.keras.losses.MeanSquaredError()
+model.compile(optimizer=optimizer, loss=loss)
+
+
+# Train model
+history = model.fit(x, y, epochs=100, batch_size=1000)
+
+# Inspect results
+print(model.weights)
+
+fig, axes = plt.subplots(2, 1)
+axes[0].scatter(x,y, alpha=0.5, s=1)
+axes[0].scatter(x, model(x), alpha=0.5, s=1)
+axes[0].set_ylabel('y')
+axes[0].set_xlabel('x')
+
+axes[1].plot(history.history['loss'])
+axes[1].set_ylabel('MSE')
+axes[1].set_xlabel('Epoch')
+plt.show()
+```
+
+## License
+
+BSD 3-Clause License
+
+Copyright (c) 2021, Galen Seilis
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+
+%package -n python3-growpy
+Summary:	Trainable growth curves.
+Provides:	python-growpy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-growpy
+# GrowPy
+
+## Project Description
+
+For questions and comments contact the developer directly at: <seilis@unbc.ca>.
+
+
+## Installation
+GrowPy is available through [PyPi](https://pypi.org/project/growpy/), and can be installed via `pip` using
+```
+pip install growpy
+```
+or 
+```
+pip3 install growpy
+```
+
+## Example Usage
+
+```python
+from growpy import models
+import tensorflow as tf
+import matplotlib.pyplot as plt
+
+# Constuct/Import data
+x = tf.abs(tf.random.uniform((100000,1), 0, 10))
+y = 500 / (1 + (500-50)/50 * tf.exp(-0.5 * x))
+
+# Construct model
+model = models.GeneralizedLogistic()
+optimizer = tf.keras.optimizers.Nadam()
+loss = tf.keras.losses.MeanSquaredError()
+model.compile(optimizer=optimizer, loss=loss)
+
+
+# Train model
+history = model.fit(x, y, epochs=100, batch_size=1000)
+
+# Inspect results
+print(model.weights)
+
+fig, axes = plt.subplots(2, 1)
+axes[0].scatter(x,y, alpha=0.5, s=1)
+axes[0].scatter(x, model(x), alpha=0.5, s=1)
+axes[0].set_ylabel('y')
+axes[0].set_xlabel('x')
+
+axes[1].plot(history.history['loss'])
+axes[1].set_ylabel('MSE')
+axes[1].set_xlabel('Epoch')
+plt.show()
+```
+
+## License
+
+BSD 3-Clause License
+
+Copyright (c) 2021, Galen Seilis
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+
+%package help
+Summary:	Development documents and examples for growpy
+Provides:	python3-growpy-doc
+%description help
+# GrowPy
+
+## Project Description
+
+For questions and comments contact the developer directly at: <seilis@unbc.ca>.
+
+
+## Installation
+GrowPy is available through [PyPi](https://pypi.org/project/growpy/), and can be installed via `pip` using
+```
+pip install growpy
+```
+or 
+```
+pip3 install growpy
+```
+
+## Example Usage
+
+```python
+from growpy import models
+import tensorflow as tf
+import matplotlib.pyplot as plt
+
+# Constuct/Import data
+x = tf.abs(tf.random.uniform((100000,1), 0, 10))
+y = 500 / (1 + (500-50)/50 * tf.exp(-0.5 * x))
+
+# Construct model
+model = models.GeneralizedLogistic()
+optimizer = tf.keras.optimizers.Nadam()
+loss = tf.keras.losses.MeanSquaredError()
+model.compile(optimizer=optimizer, loss=loss)
+
+
+# Train model
+history = model.fit(x, y, epochs=100, batch_size=1000)
+
+# Inspect results
+print(model.weights)
+
+fig, axes = plt.subplots(2, 1)
+axes[0].scatter(x,y, alpha=0.5, s=1)
+axes[0].scatter(x, model(x), alpha=0.5, s=1)
+axes[0].set_ylabel('y')
+axes[0].set_xlabel('x')
+
+axes[1].plot(history.history['loss'])
+axes[1].set_ylabel('MSE')
+axes[1].set_xlabel('Epoch')
+plt.show()
+```
+
+## License
+
+BSD 3-Clause License
+
+Copyright (c) 2021, Galen Seilis
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its
+   contributors may be used to endorse or promote products derived from
+   this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+
+
+%prep
+%autosetup -n growpy-0.0.12
+
+%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-growpy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.12-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..412a467
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+a33d50127d39ef3d60112410dbd20e5d  growpy-0.0.12.tar.gz