%global _empty_manifest_terminate_build 0
Name: python-guang
Version: 0.0.8.1.6
Release: 1
Summary: ML/DL tools function library
License: GPL-v3
URL: https://github.com/beidongjiedeguang/guang
Source0: https://mirrors.aliyun.com/pypi/web/packages/06/f1/5b86c3b52f01a86fb32ef21d712a00fa2e5396deae9d97cc6ba3bdd32431/guang-0.0.8.1.6.tar.gz
BuildArch: noarch
Requires: python3-gdown
Requires: python3-fire
Requires: python3-pyyaml
Requires: python3-yapf
Requires: python3-wget
Requires: python3-pendulum
Requires: python3-pyprobar
Requires: python3-poetry
Requires: python3-numpy
Requires: python3-pandas
Requires: python3-matplotlib
Requires: python3-opencv-python
Requires: python3-streamlit
Requires: python3-plotly
%description
# Guang
[](https://pypi.org/project/guang)
[](https://www.python.org/)
[](LICENSE)
[](https://github.com/beidongjiedeguang)
Universal function library of scientific calculation.
## Requirements
```python
Python 3
CUDA >= 10.0
PyTorch >= 1.0
Tensorflow >= 1.12.0
opencv-python
pydub
librosa
pyworld
soundfile
pypinyin
pomegranate
python-Levenshtein
streamlit
pyprobar
fire
```
## Installation
```python
# Before install `guang`, you need to have all the requirements installed.
pip install guang
```
*Nightly* Build
```bash
git clone https://github.com/beidongjiedeguang/guang.git
cd guang
python ./night_workflow.py
```
## Examples
- Convert audio in .mp3/ .wav format to (sample rate=16k, single channel) .wav format
**Use in bash/shell**
```bash
guang cvt2wav INPUT OUTPUT
```
**Use as function**
```python
from guang.Voice.convert import cvt2wav
cvt2wav(input_name, output_name, sr=16000)
# Multi-process
from guang.Voice.convert import multi_cvt2wav
multi_cvt2wav(PATH1, PATH2,sr=16000, n_cpu=None)
```
* **Let the video play at N times speed** (install ffmpeg first)
```bash
guang av_speed inputname outputname N --cut_frame=False
```
* **Fourier visualization**
```bash
guang fourier
```
* **Fourier draw anything you want**
<img src="docs/picture/fourier1.gif" width = "400" height = "300"/>
<img src="docs/picture/fourier0.gif" width = "400" height = "300"/>
* **FFT convolution**
```python
from guang.sci import fft
A = np.random.rand(100, 100)
B = np.random.rand(100, 100)
fft.fft_conv2d(A, B)
```
* Use `dict_dotable` to convert a dictionary to dot-able dictionary:
```python
from guang.Utils.toolsFunc import dict_dotable
a = {'a':{'b':1}}
a = dict_dotable(a)
print(a.a.b)
>> 1
```
* ~~Use `probar` to display current progress~~ has separated to [pyprobar](https://github.com/beidongjiedeguang/python-progress-bar)
```python
from guang.Utils.bar import bar, probar
for idx, x in probar(range(10)):
time.sleep(0.8)
>> 100.00% |█████████████████████████████| 0'7.2"|0'7.2" ETC: 12-2 23:59:8
N = 1024
a = np.linspace(2, 5, N)
for idx, i in enumerate(a):
time.sleep(0.01)
bar(idx, N)
>> 100.00% |█████████████████████████████| 0:00:00|0:00:10 ETC: 02-19 20:33:34
```
* `@broadcast` broadcast a non-broadcast function.
```python
from guang.Utils.toolsFunc import broadcast
@broadcast
def f(x):
# A function that can map only a single element
if x==1 or x==0:
return x
else:
return f(x-1)+f(x-2)
>> f([2,4,10])
>> array([1, 3, 832040], dtype=object)
```
* `download` download files from google drive.
```python
from guang.Utils.google import download
url = "https://drive.google.com/open?id=1eU57Fkv1DBEOqi-iOs1AebD02FqVDY23"
outname = "filename.zip"
download(url, outname)
```
* `txt2ph` Convert Chinese characters to phoneme.
```python
from guang.Voice.txt2pinyin import txt2ph
txt2ph('你好，我是光')
>> [('n', 'i3'), ('h', 'ao3'), ('sp1',), ('uo3',), ('sh', 'ii4'), ('g', 'uang1')]
```
* `reduce_from_duration` Remove files with duration less than `least_time` seconds.
Note that this function does not work in the interactive interpreter because it uses [`multiprocessing.pool.Pool`](https://docs.python.org/zh-cn/3/library/multiprocessing.html#multiprocessing.pool.Pool)
```python
from guang.Voice.reduce import reduce_from_duration
reduced_list = reduce_from_duration(path_list, least_time=2)
print(len(path_list), len(reduced_list))
>> (6889, 6714)
```
* Find NOT silence part of a sound file: `find_no_silence`
```python
from guang.Voice.reduce import find_no_silence
start, end, arg_start, arg_end = find_no_silence(filename)
```
* Download wechat files.
```python
from guang.wechat.Utils.download import downloads
downloads(nickName='caloi', fileType='mp3', d_t=60)
```
* Plots 3D Scatter:
```python
from guang.Utils.plotly import Scatter3d
from guang.Utils.interesting import Lorenz
trace = Lorenz.Trace()
x,y,z = trace[:,0], trace[:,1], trace[:,2]
fig = Scatter3d()
fig.scatter3d(x,y,z,mode="lines+markers",color_line=z,color_marker=None,marker_size=2)
fig.show()
```
<img src="docs/picture/Lorenz.gif" width = "400" height = "300"/>
* Data dimension reduction:
```bash
cd guang/ML/manifold
python test_digits.py
```
<img src="docs/picture/digits_dimension_reduction.PNG" width = "800" height = "400" />
```bash
python test_s_curve
```
<img src="docs/picture/s_curve.gif" width = "500" height = "500" />
<img src="docs/picture/s_curve_dimension_reduction.PNG" width = "1000" height = "400"/>
* :smiley:
%package -n python3-guang
Summary: ML/DL tools function library
Provides: python-guang
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-guang
# Guang
[](https://pypi.org/project/guang)
[](https://www.python.org/)
[](LICENSE)
[](https://github.com/beidongjiedeguang)
Universal function library of scientific calculation.
## Requirements
```python
Python 3
CUDA >= 10.0
PyTorch >= 1.0
Tensorflow >= 1.12.0
opencv-python
pydub
librosa
pyworld
soundfile
pypinyin
pomegranate
python-Levenshtein
streamlit
pyprobar
fire
```
## Installation
```python
# Before install `guang`, you need to have all the requirements installed.
pip install guang
```
*Nightly* Build
```bash
git clone https://github.com/beidongjiedeguang/guang.git
cd guang
python ./night_workflow.py
```
## Examples
- Convert audio in .mp3/ .wav format to (sample rate=16k, single channel) .wav format
**Use in bash/shell**
```bash
guang cvt2wav INPUT OUTPUT
```
**Use as function**
```python
from guang.Voice.convert import cvt2wav
cvt2wav(input_name, output_name, sr=16000)
# Multi-process
from guang.Voice.convert import multi_cvt2wav
multi_cvt2wav(PATH1, PATH2,sr=16000, n_cpu=None)
```
* **Let the video play at N times speed** (install ffmpeg first)
```bash
guang av_speed inputname outputname N --cut_frame=False
```
* **Fourier visualization**
```bash
guang fourier
```
* **Fourier draw anything you want**
<img src="docs/picture/fourier1.gif" width = "400" height = "300"/>
<img src="docs/picture/fourier0.gif" width = "400" height = "300"/>
* **FFT convolution**
```python
from guang.sci import fft
A = np.random.rand(100, 100)
B = np.random.rand(100, 100)
fft.fft_conv2d(A, B)
```
* Use `dict_dotable` to convert a dictionary to dot-able dictionary:
```python
from guang.Utils.toolsFunc import dict_dotable
a = {'a':{'b':1}}
a = dict_dotable(a)
print(a.a.b)
>> 1
```
* ~~Use `probar` to display current progress~~ has separated to [pyprobar](https://github.com/beidongjiedeguang/python-progress-bar)
```python
from guang.Utils.bar import bar, probar
for idx, x in probar(range(10)):
time.sleep(0.8)
>> 100.00% |█████████████████████████████| 0'7.2"|0'7.2" ETC: 12-2 23:59:8
N = 1024
a = np.linspace(2, 5, N)
for idx, i in enumerate(a):
time.sleep(0.01)
bar(idx, N)
>> 100.00% |█████████████████████████████| 0:00:00|0:00:10 ETC: 02-19 20:33:34
```
* `@broadcast` broadcast a non-broadcast function.
```python
from guang.Utils.toolsFunc import broadcast
@broadcast
def f(x):
# A function that can map only a single element
if x==1 or x==0:
return x
else:
return f(x-1)+f(x-2)
>> f([2,4,10])
>> array([1, 3, 832040], dtype=object)
```
* `download` download files from google drive.
```python
from guang.Utils.google import download
url = "https://drive.google.com/open?id=1eU57Fkv1DBEOqi-iOs1AebD02FqVDY23"
outname = "filename.zip"
download(url, outname)
```
* `txt2ph` Convert Chinese characters to phoneme.
```python
from guang.Voice.txt2pinyin import txt2ph
txt2ph('你好，我是光')
>> [('n', 'i3'), ('h', 'ao3'), ('sp1',), ('uo3',), ('sh', 'ii4'), ('g', 'uang1')]
```
* `reduce_from_duration` Remove files with duration less than `least_time` seconds.
Note that this function does not work in the interactive interpreter because it uses [`multiprocessing.pool.Pool`](https://docs.python.org/zh-cn/3/library/multiprocessing.html#multiprocessing.pool.Pool)
```python
from guang.Voice.reduce import reduce_from_duration
reduced_list = reduce_from_duration(path_list, least_time=2)
print(len(path_list), len(reduced_list))
>> (6889, 6714)
```
* Find NOT silence part of a sound file: `find_no_silence`
```python
from guang.Voice.reduce import find_no_silence
start, end, arg_start, arg_end = find_no_silence(filename)
```
* Download wechat files.
```python
from guang.wechat.Utils.download import downloads
downloads(nickName='caloi', fileType='mp3', d_t=60)
```
* Plots 3D Scatter:
```python
from guang.Utils.plotly import Scatter3d
from guang.Utils.interesting import Lorenz
trace = Lorenz.Trace()
x,y,z = trace[:,0], trace[:,1], trace[:,2]
fig = Scatter3d()
fig.scatter3d(x,y,z,mode="lines+markers",color_line=z,color_marker=None,marker_size=2)
fig.show()
```
<img src="docs/picture/Lorenz.gif" width = "400" height = "300"/>
* Data dimension reduction:
```bash
cd guang/ML/manifold
python test_digits.py
```
<img src="docs/picture/digits_dimension_reduction.PNG" width = "800" height = "400" />
```bash
python test_s_curve
```
<img src="docs/picture/s_curve.gif" width = "500" height = "500" />
<img src="docs/picture/s_curve_dimension_reduction.PNG" width = "1000" height = "400"/>
* :smiley:
%package help
Summary: Development documents and examples for guang
Provides: python3-guang-doc
%description help
# Guang
[](https://pypi.org/project/guang)
[](https://www.python.org/)
[](LICENSE)
[](https://github.com/beidongjiedeguang)
Universal function library of scientific calculation.
## Requirements
```python
Python 3
CUDA >= 10.0
PyTorch >= 1.0
Tensorflow >= 1.12.0
opencv-python
pydub
librosa
pyworld
soundfile
pypinyin
pomegranate
python-Levenshtein
streamlit
pyprobar
fire
```
## Installation
```python
# Before install `guang`, you need to have all the requirements installed.
pip install guang
```
*Nightly* Build
```bash
git clone https://github.com/beidongjiedeguang/guang.git
cd guang
python ./night_workflow.py
```
## Examples
- Convert audio in .mp3/ .wav format to (sample rate=16k, single channel) .wav format
**Use in bash/shell**
```bash
guang cvt2wav INPUT OUTPUT
```
**Use as function**
```python
from guang.Voice.convert import cvt2wav
cvt2wav(input_name, output_name, sr=16000)
# Multi-process
from guang.Voice.convert import multi_cvt2wav
multi_cvt2wav(PATH1, PATH2,sr=16000, n_cpu=None)
```
* **Let the video play at N times speed** (install ffmpeg first)
```bash
guang av_speed inputname outputname N --cut_frame=False
```
* **Fourier visualization**
```bash
guang fourier
```
* **Fourier draw anything you want**
<img src="docs/picture/fourier1.gif" width = "400" height = "300"/>
<img src="docs/picture/fourier0.gif" width = "400" height = "300"/>
* **FFT convolution**
```python
from guang.sci import fft
A = np.random.rand(100, 100)
B = np.random.rand(100, 100)
fft.fft_conv2d(A, B)
```
* Use `dict_dotable` to convert a dictionary to dot-able dictionary:
```python
from guang.Utils.toolsFunc import dict_dotable
a = {'a':{'b':1}}
a = dict_dotable(a)
print(a.a.b)
>> 1
```
* ~~Use `probar` to display current progress~~ has separated to [pyprobar](https://github.com/beidongjiedeguang/python-progress-bar)
```python
from guang.Utils.bar import bar, probar
for idx, x in probar(range(10)):
time.sleep(0.8)
>> 100.00% |█████████████████████████████| 0'7.2"|0'7.2" ETC: 12-2 23:59:8
N = 1024
a = np.linspace(2, 5, N)
for idx, i in enumerate(a):
time.sleep(0.01)
bar(idx, N)
>> 100.00% |█████████████████████████████| 0:00:00|0:00:10 ETC: 02-19 20:33:34
```
* `@broadcast` broadcast a non-broadcast function.
```python
from guang.Utils.toolsFunc import broadcast
@broadcast
def f(x):
# A function that can map only a single element
if x==1 or x==0:
return x
else:
return f(x-1)+f(x-2)
>> f([2,4,10])
>> array([1, 3, 832040], dtype=object)
```
* `download` download files from google drive.
```python
from guang.Utils.google import download
url = "https://drive.google.com/open?id=1eU57Fkv1DBEOqi-iOs1AebD02FqVDY23"
outname = "filename.zip"
download(url, outname)
```
* `txt2ph` Convert Chinese characters to phoneme.
```python
from guang.Voice.txt2pinyin import txt2ph
txt2ph('你好，我是光')
>> [('n', 'i3'), ('h', 'ao3'), ('sp1',), ('uo3',), ('sh', 'ii4'), ('g', 'uang1')]
```
* `reduce_from_duration` Remove files with duration less than `least_time` seconds.
Note that this function does not work in the interactive interpreter because it uses [`multiprocessing.pool.Pool`](https://docs.python.org/zh-cn/3/library/multiprocessing.html#multiprocessing.pool.Pool)
```python
from guang.Voice.reduce import reduce_from_duration
reduced_list = reduce_from_duration(path_list, least_time=2)
print(len(path_list), len(reduced_list))
>> (6889, 6714)
```
* Find NOT silence part of a sound file: `find_no_silence`
```python
from guang.Voice.reduce import find_no_silence
start, end, arg_start, arg_end = find_no_silence(filename)
```
* Download wechat files.
```python
from guang.wechat.Utils.download import downloads
downloads(nickName='caloi', fileType='mp3', d_t=60)
```
* Plots 3D Scatter:
```python
from guang.Utils.plotly import Scatter3d
from guang.Utils.interesting import Lorenz
trace = Lorenz.Trace()
x,y,z = trace[:,0], trace[:,1], trace[:,2]
fig = Scatter3d()
fig.scatter3d(x,y,z,mode="lines+markers",color_line=z,color_marker=None,marker_size=2)
fig.show()
```
<img src="docs/picture/Lorenz.gif" width = "400" height = "300"/>
* Data dimension reduction:
```bash
cd guang/ML/manifold
python test_digits.py
```
<img src="docs/picture/digits_dimension_reduction.PNG" width = "800" height = "400" />
```bash
python test_s_curve
```
<img src="docs/picture/s_curve.gif" width = "500" height = "500" />
<img src="docs/picture/s_curve_dimension_reduction.PNG" width = "1000" height = "400"/>
* :smiley:
%prep
%autosetup -n guang-0.0.8.1.6
%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-guang -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.8.1.6-1
- Package Spec generated