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%global _empty_manifest_terminate_build 0
Name: python-cuda-guass-normal
Version: 1.13
Release: 1
Summary: A package used in DNN trainning in ATLAS analysis
License: MIT
URL: https://pypi.org/project/cuda-guass-normal/
Source0: https://mirrors.aliyun.com/pypi/web/packages/bc/a0/9cd5883f14f949a0a8d2103d8ae811af0b41de3e54501de22f7c720cf32b/cuda_guass_normal-1.13.tar.gz
BuildArch: noarch
%description
Python package use cuda to normalize input variables using cuda package in ATLAS analysis
Function use to do Guassian Normalization:
Mean:
$$\mu_{i}=\frac{\sum x_{i}\times w_{i}}{\sum w_{i}}$$
Variance:
$$\sigma_{i}=\frac{\sum (x_{i}-\mu_{i})^{2}\times w_{i}}{\frac{N-1}{N}\times\sum w_{i}}$$
Normalized input feature:
$$\bar{x_{i}}=\frac{x_{i}-\mu_{i}}{\sigma_{i}}$$
Main function: guass_normal((1),(2),(3))
Input:
(1):Numpy array contain all input features you want to normalize.
(2):Numpy array used to calculate each feature's mean and variance.
(3):1-d Numpy array contains each events weight in (2)
(1) and (2) must have the same number of columns.
cuda_cut((1),(2),(3)): Used to calculate event yield after applying DNN cut.
Input:
(1): 1-d numpy array include the variable you want to cut.
(2): 1-d numpy array include event weight.
(3): cut threshold
%package -n python3-cuda-guass-normal
Summary: A package used in DNN trainning in ATLAS analysis
Provides: python-cuda-guass-normal
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-cuda-guass-normal
Python package use cuda to normalize input variables using cuda package in ATLAS analysis
Function use to do Guassian Normalization:
Mean:
$$\mu_{i}=\frac{\sum x_{i}\times w_{i}}{\sum w_{i}}$$
Variance:
$$\sigma_{i}=\frac{\sum (x_{i}-\mu_{i})^{2}\times w_{i}}{\frac{N-1}{N}\times\sum w_{i}}$$
Normalized input feature:
$$\bar{x_{i}}=\frac{x_{i}-\mu_{i}}{\sigma_{i}}$$
Main function: guass_normal((1),(2),(3))
Input:
(1):Numpy array contain all input features you want to normalize.
(2):Numpy array used to calculate each feature's mean and variance.
(3):1-d Numpy array contains each events weight in (2)
(1) and (2) must have the same number of columns.
cuda_cut((1),(2),(3)): Used to calculate event yield after applying DNN cut.
Input:
(1): 1-d numpy array include the variable you want to cut.
(2): 1-d numpy array include event weight.
(3): cut threshold
%package help
Summary: Development documents and examples for cuda-guass-normal
Provides: python3-cuda-guass-normal-doc
%description help
Python package use cuda to normalize input variables using cuda package in ATLAS analysis
Function use to do Guassian Normalization:
Mean:
$$\mu_{i}=\frac{\sum x_{i}\times w_{i}}{\sum w_{i}}$$
Variance:
$$\sigma_{i}=\frac{\sum (x_{i}-\mu_{i})^{2}\times w_{i}}{\frac{N-1}{N}\times\sum w_{i}}$$
Normalized input feature:
$$\bar{x_{i}}=\frac{x_{i}-\mu_{i}}{\sigma_{i}}$$
Main function: guass_normal((1),(2),(3))
Input:
(1):Numpy array contain all input features you want to normalize.
(2):Numpy array used to calculate each feature's mean and variance.
(3):1-d Numpy array contains each events weight in (2)
(1) and (2) must have the same number of columns.
cuda_cut((1),(2),(3)): Used to calculate event yield after applying DNN cut.
Input:
(1): 1-d numpy array include the variable you want to cut.
(2): 1-d numpy array include event weight.
(3): cut threshold
%prep
%autosetup -n cuda_guass_normal-1.13
%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-cuda-guass-normal -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.13-1
- Package Spec generated
|
