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%global _empty_manifest_terminate_build 0
Name:		python-response
Version:	0.5.0
Release:	1
Summary:	Your handy frequency and impulse response processing object
License:	MIT
URL:		https://github.com/fhchl/Response
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/16/85/5ef9dc059effac9932cc88465f3b8f5b187f23dc3b9bbe14e09664a0975c/response-0.5.0.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-scipy
Requires:	python3-matplotlib
Requires:	python3-pytest
Requires:	python3-pycodestyle
Requires:	python3-pydocstyle
Requires:	python3-pdoc3
Requires:	python3-pytest-cov

%description
_Your handy frequency and impulse response processing object!_
[![](https://img.shields.io/pypi/l/response.svg?style=flat)](https://pypi.org/project/response/)
[![](https://img.shields.io/pypi/v/response.svg?style=flat)](https://pypi.org/project/response/)
[![travis-ci](https://travis-ci.org/fhchl/Response.svg?branch=master)](https://travis-ci.org/fhchl/Response)
[![codecov](https://codecov.io/gh/fhchl/Response/branch/master/graph/badge.svg)](https://codecov.io/gh/fhchl/Response)
This module supplies the `Response` class: an abstraction of frequency and
impulse responses and a set of handy methods for their processing. It implements a
[fluent interface][1] for chaining the processing commands.
Find the documentation [here][2] and the source code on [GitHub][3].
[1]: https://en.wikipedia.org/wiki/Fluent_interface
[2]: https://fhchl.github.io/Response/
[3]: https://github.com/fhchl/Response
```python
import numpy as np
from response import Response
fs = 48000  # sampling rate
T = 0.5     # length of signal
# a sine at 100 Hz
t = np.arange(int(T * fs)) / fs
x = np.sin(2 * np.pi * 100 * t)
# Do chain of processing
r = (
    Response.from_time(fs, x)
    # time window at the end and beginning
    .time_window((0, 0.1), (-0.1, None), window="hann")  # equivalent to Tukey window
    # zeropad to one second length
    .zeropad_to_length(fs * 1)
    # circular shift to center
    .circdelay(T / 2)
    # resample with polyphase filter, keep gain of filter
    .resample_poly(500, window=("kaiser", 0.5), normalize="same_amplitude")
    # cut 0.2s at beginning and end
    .timecrop(0.2, -0.2)
    # apply frequency domain window
    .freq_window((0, 90), (110, 500))
)
# plot magnitude, phase and time response
r.plot(show=True)
# real impulse response
r.in_time
# complex frequency response
r.in_freq
# and much more ...
```

%package -n python3-response
Summary:	Your handy frequency and impulse response processing object
Provides:	python-response
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-response
_Your handy frequency and impulse response processing object!_
[![](https://img.shields.io/pypi/l/response.svg?style=flat)](https://pypi.org/project/response/)
[![](https://img.shields.io/pypi/v/response.svg?style=flat)](https://pypi.org/project/response/)
[![travis-ci](https://travis-ci.org/fhchl/Response.svg?branch=master)](https://travis-ci.org/fhchl/Response)
[![codecov](https://codecov.io/gh/fhchl/Response/branch/master/graph/badge.svg)](https://codecov.io/gh/fhchl/Response)
This module supplies the `Response` class: an abstraction of frequency and
impulse responses and a set of handy methods for their processing. It implements a
[fluent interface][1] for chaining the processing commands.
Find the documentation [here][2] and the source code on [GitHub][3].
[1]: https://en.wikipedia.org/wiki/Fluent_interface
[2]: https://fhchl.github.io/Response/
[3]: https://github.com/fhchl/Response
```python
import numpy as np
from response import Response
fs = 48000  # sampling rate
T = 0.5     # length of signal
# a sine at 100 Hz
t = np.arange(int(T * fs)) / fs
x = np.sin(2 * np.pi * 100 * t)
# Do chain of processing
r = (
    Response.from_time(fs, x)
    # time window at the end and beginning
    .time_window((0, 0.1), (-0.1, None), window="hann")  # equivalent to Tukey window
    # zeropad to one second length
    .zeropad_to_length(fs * 1)
    # circular shift to center
    .circdelay(T / 2)
    # resample with polyphase filter, keep gain of filter
    .resample_poly(500, window=("kaiser", 0.5), normalize="same_amplitude")
    # cut 0.2s at beginning and end
    .timecrop(0.2, -0.2)
    # apply frequency domain window
    .freq_window((0, 90), (110, 500))
)
# plot magnitude, phase and time response
r.plot(show=True)
# real impulse response
r.in_time
# complex frequency response
r.in_freq
# and much more ...
```

%package help
Summary:	Development documents and examples for response
Provides:	python3-response-doc
%description help
_Your handy frequency and impulse response processing object!_
[![](https://img.shields.io/pypi/l/response.svg?style=flat)](https://pypi.org/project/response/)
[![](https://img.shields.io/pypi/v/response.svg?style=flat)](https://pypi.org/project/response/)
[![travis-ci](https://travis-ci.org/fhchl/Response.svg?branch=master)](https://travis-ci.org/fhchl/Response)
[![codecov](https://codecov.io/gh/fhchl/Response/branch/master/graph/badge.svg)](https://codecov.io/gh/fhchl/Response)
This module supplies the `Response` class: an abstraction of frequency and
impulse responses and a set of handy methods for their processing. It implements a
[fluent interface][1] for chaining the processing commands.
Find the documentation [here][2] and the source code on [GitHub][3].
[1]: https://en.wikipedia.org/wiki/Fluent_interface
[2]: https://fhchl.github.io/Response/
[3]: https://github.com/fhchl/Response
```python
import numpy as np
from response import Response
fs = 48000  # sampling rate
T = 0.5     # length of signal
# a sine at 100 Hz
t = np.arange(int(T * fs)) / fs
x = np.sin(2 * np.pi * 100 * t)
# Do chain of processing
r = (
    Response.from_time(fs, x)
    # time window at the end and beginning
    .time_window((0, 0.1), (-0.1, None), window="hann")  # equivalent to Tukey window
    # zeropad to one second length
    .zeropad_to_length(fs * 1)
    # circular shift to center
    .circdelay(T / 2)
    # resample with polyphase filter, keep gain of filter
    .resample_poly(500, window=("kaiser", 0.5), normalize="same_amplitude")
    # cut 0.2s at beginning and end
    .timecrop(0.2, -0.2)
    # apply frequency domain window
    .freq_window((0, 90), (110, 500))
)
# plot magnitude, phase and time response
r.plot(show=True)
# real impulse response
r.in_time
# complex frequency response
r.in_freq
# and much more ...
```

%prep
%autosetup -n response-0.5.0

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

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

%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.5.0-1
- Package Spec generated