%global _empty_manifest_terminate_build 0
Name:		python-croston
Version:	0.1.2.4
Release:	1
Summary:	croston model for intermittent time series
License:	GNU General Public License v3 (GPLv3)
URL:		https://github.com/HamidM6/croston
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/ae/05/1fea1dbd9f5ff7db8cb5034a43f56b4ea58eef7ce8837272c32344e408a4/croston-0.1.2.4.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-scipy

%description
# croston
A python package to forecast intermittent time series using croston's method

[readthedocs: croston](https://croston.readthedocs.io/en/latest/)

example:
```

import numpy as np
import random
from croston import croston
import matplotlib.pyplot as plt


a = np.zeros(50)
val = np.array(random.sample(range(100,200), 10))
idxs = random.sample(range(50), 10)

ts = np.insert(a, idxs, val)

fit_pred = croston.fit_croston(ts, 10,'original')

yhat = np.concatenate([fit_pred['croston_fittedvalues'], fit_pred['croston_forecast']])

plt.plot(ts)
plt.plot(yhat)
```


%package -n python3-croston
Summary:	croston model for intermittent time series
Provides:	python-croston
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-croston
# croston
A python package to forecast intermittent time series using croston's method

[readthedocs: croston](https://croston.readthedocs.io/en/latest/)

example:
```

import numpy as np
import random
from croston import croston
import matplotlib.pyplot as plt


a = np.zeros(50)
val = np.array(random.sample(range(100,200), 10))
idxs = random.sample(range(50), 10)

ts = np.insert(a, idxs, val)

fit_pred = croston.fit_croston(ts, 10,'original')

yhat = np.concatenate([fit_pred['croston_fittedvalues'], fit_pred['croston_forecast']])

plt.plot(ts)
plt.plot(yhat)
```


%package help
Summary:	Development documents and examples for croston
Provides:	python3-croston-doc
%description help
# croston
A python package to forecast intermittent time series using croston's method

[readthedocs: croston](https://croston.readthedocs.io/en/latest/)

example:
```

import numpy as np
import random
from croston import croston
import matplotlib.pyplot as plt


a = np.zeros(50)
val = np.array(random.sample(range(100,200), 10))
idxs = random.sample(range(50), 10)

ts = np.insert(a, idxs, val)

fit_pred = croston.fit_croston(ts, 10,'original')

yhat = np.concatenate([fit_pred['croston_fittedvalues'], fit_pred['croston_forecast']])

plt.plot(ts)
plt.plot(yhat)
```


%prep
%autosetup -n croston-0.1.2.4

%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-croston -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.2.4-1
- Package Spec generated