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diff --git a/python-autodiff-group3.spec b/python-autodiff-group3.spec new file mode 100644 index 0000000..d4a2d48 --- /dev/null +++ b/python-autodiff-group3.spec @@ -0,0 +1,287 @@ +%global _empty_manifest_terminate_build 0 +Name: python-AutoDiff-group3 +Version: 0.0.6 +Release: 1 +Summary: Automatic differentiation with dual numbers +License: MIT License +URL: https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject +Source0: https://mirrors.aliyun.com/pypi/web/packages/5b/b4/29b7f91771b8381c08c098ead7a00065da95ae6e39479d965ce28deef129/AutoDiff_group3-0.0.6.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-pytest + +%description +[](https://travis-ci.com/cs207-project-erin-bruce-will/cs207-FinalProject) + +[](https://coveralls.io/github/cs207-project-erin-bruce-will/cs207-FinalProject) + +# AutoDiff + +Developed by: Will Claybaugh, Bruce Xiong, Erin Williams +Group #3, CS207 Fall 2018 + + +## Introduction +Autodiff finds the derivatives of a function (to machine precision!) at the same time it finds the value of the function. +``` +import autodiff.autodiff as ad + +x = ad.DualNumber('x', 2) +y = ad.DualNumber('y', 3) + +out = x/y +out.value # 0.66666, the value of 2 divided by 3 +out.derivatives #{x: 1/3, y: -2/(3**2)}, the gradient of x/y at (2,3) +``` +Autodiff works for functions and expressions with any number of inputs. Just pass those functions DualNumbers instead of regular ints/floats (and upgrade any math module functions to their autodiff equvalents) + +## Installation +Autodiff is on [PyPi](https://pypi.org/project/AutoDiff-group3/) and can be installed using the command ```pip install AutoDiff-group3```. To import, use ```import autodiff.autodiff as ad```. + +Autodiff can also be installed by downloading from [github](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject). Becuase it has no dependencies, you can simply add the repo folder to your python path (```import sys +sys.path.insert(0, '/path_to_repo/')```) and import as normal. + +## Examples + +Using autodiff is very simple: +``` +import autodiff.autodiff as ad + +def f(a,b): + return 3*a/b*ad.sin(a*b+2) + +out = f(ad.DualNumber('x',2),ad.DualNumber('y',3)) + +print(out.value) +1.978716 + +print(out.derivatives['x']) +0.116358 + +print(out.derivatives['y']) +-1.24157 + +# get the value and derifative of f at a different point +out = f(ad.DualNumber('x',0),ad.DualNumber('y',1)) +``` + +A Python 3 notebook containing more in-depth examples and usage is available [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/Demo.ipynb) + +## Documentation + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/documentation.md) for full documentation. + +## Dependencies + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/requirements.txt) for a full listing of dependencies. + +## License + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/LICENSE) to view our MIT License. + + + + + + +%package -n python3-AutoDiff-group3 +Summary: Automatic differentiation with dual numbers +Provides: python-AutoDiff-group3 +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-AutoDiff-group3 +[](https://travis-ci.com/cs207-project-erin-bruce-will/cs207-FinalProject) + +[](https://coveralls.io/github/cs207-project-erin-bruce-will/cs207-FinalProject) + +# AutoDiff + +Developed by: Will Claybaugh, Bruce Xiong, Erin Williams +Group #3, CS207 Fall 2018 + + +## Introduction +Autodiff finds the derivatives of a function (to machine precision!) at the same time it finds the value of the function. +``` +import autodiff.autodiff as ad + +x = ad.DualNumber('x', 2) +y = ad.DualNumber('y', 3) + +out = x/y +out.value # 0.66666, the value of 2 divided by 3 +out.derivatives #{x: 1/3, y: -2/(3**2)}, the gradient of x/y at (2,3) +``` +Autodiff works for functions and expressions with any number of inputs. Just pass those functions DualNumbers instead of regular ints/floats (and upgrade any math module functions to their autodiff equvalents) + +## Installation +Autodiff is on [PyPi](https://pypi.org/project/AutoDiff-group3/) and can be installed using the command ```pip install AutoDiff-group3```. To import, use ```import autodiff.autodiff as ad```. + +Autodiff can also be installed by downloading from [github](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject). Becuase it has no dependencies, you can simply add the repo folder to your python path (```import sys +sys.path.insert(0, '/path_to_repo/')```) and import as normal. + +## Examples + +Using autodiff is very simple: +``` +import autodiff.autodiff as ad + +def f(a,b): + return 3*a/b*ad.sin(a*b+2) + +out = f(ad.DualNumber('x',2),ad.DualNumber('y',3)) + +print(out.value) +1.978716 + +print(out.derivatives['x']) +0.116358 + +print(out.derivatives['y']) +-1.24157 + +# get the value and derifative of f at a different point +out = f(ad.DualNumber('x',0),ad.DualNumber('y',1)) +``` + +A Python 3 notebook containing more in-depth examples and usage is available [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/Demo.ipynb) + +## Documentation + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/documentation.md) for full documentation. + +## Dependencies + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/requirements.txt) for a full listing of dependencies. + +## License + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/LICENSE) to view our MIT License. + + + + + + +%package help +Summary: Development documents and examples for AutoDiff-group3 +Provides: python3-AutoDiff-group3-doc +%description help +[](https://travis-ci.com/cs207-project-erin-bruce-will/cs207-FinalProject) + +[](https://coveralls.io/github/cs207-project-erin-bruce-will/cs207-FinalProject) + +# AutoDiff + +Developed by: Will Claybaugh, Bruce Xiong, Erin Williams +Group #3, CS207 Fall 2018 + + +## Introduction +Autodiff finds the derivatives of a function (to machine precision!) at the same time it finds the value of the function. +``` +import autodiff.autodiff as ad + +x = ad.DualNumber('x', 2) +y = ad.DualNumber('y', 3) + +out = x/y +out.value # 0.66666, the value of 2 divided by 3 +out.derivatives #{x: 1/3, y: -2/(3**2)}, the gradient of x/y at (2,3) +``` +Autodiff works for functions and expressions with any number of inputs. Just pass those functions DualNumbers instead of regular ints/floats (and upgrade any math module functions to their autodiff equvalents) + +## Installation +Autodiff is on [PyPi](https://pypi.org/project/AutoDiff-group3/) and can be installed using the command ```pip install AutoDiff-group3```. To import, use ```import autodiff.autodiff as ad```. + +Autodiff can also be installed by downloading from [github](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject). Becuase it has no dependencies, you can simply add the repo folder to your python path (```import sys +sys.path.insert(0, '/path_to_repo/')```) and import as normal. + +## Examples + +Using autodiff is very simple: +``` +import autodiff.autodiff as ad + +def f(a,b): + return 3*a/b*ad.sin(a*b+2) + +out = f(ad.DualNumber('x',2),ad.DualNumber('y',3)) + +print(out.value) +1.978716 + +print(out.derivatives['x']) +0.116358 + +print(out.derivatives['y']) +-1.24157 + +# get the value and derifative of f at a different point +out = f(ad.DualNumber('x',0),ad.DualNumber('y',1)) +``` + +A Python 3 notebook containing more in-depth examples and usage is available [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/Demo.ipynb) + +## Documentation + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/documentation.md) for full documentation. + +## Dependencies + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/docs/requirements.txt) for a full listing of dependencies. + +## License + +Click [HERE](https://github.com/cs207-project-erin-bruce-will/cs207-FinalProject/blob/master/LICENSE) to view our MIT License. + + + + + + +%prep +%autosetup -n AutoDiff_group3-0.0.6 + +%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-AutoDiff-group3 -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.6-1 +- Package Spec generated |