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"info": {
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"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
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"description": "# Guang\n\n[](https://pypi.org/project/guang)\n[](https://www.python.org/)\n[](LICENSE)\n[](https://github.com/beidongjiedeguang)\n\n\n\n\nUniversal function library of scientific calculation.\n\n## Requirements\n\n```python\nPython 3\nCUDA >= 10.0\nPyTorch >= 1.0\nTensorflow >= 1.12.0\nopencv-python\npydub\nlibrosa\npyworld\nsoundfile\npypinyin\npomegranate\npython-Levenshtein\nstreamlit\npyprobar\nfire\n```\n\n\n\n## Installation\n\n```python\n# Before install `guang`, you need to have all the requirements installed.\npip install guang\n```\n\n\u200b\t*Nightly* Build\n\n```bash\ngit clone https://github.com/beidongjiedeguang/guang.git\ncd guang\npython ./night_workflow.py\n```\n\n\n\n## Examples\n\n- Convert audio in .mp3/ .wav format to (sample rate=16k, single channel) .wav format\n\n **Use in bash/shell**\n\n ```bash\n guang cvt2wav INPUT OUTPUT\n ```\n\n **Use as function**\n\n ```python\n from guang.Voice.convert import cvt2wav\n cvt2wav(input_name, output_name, sr=16000)\n\n # Multi-process\n from guang.Voice.convert import multi_cvt2wav \n multi_cvt2wav(PATH1, PATH2,sr=16000, n_cpu=None)\n ```\n\n\n\n\n* **Let the video play at N times speed** (install ffmpeg first)\n\n ```bash\n guang av_speed inputname outputname N --cut_frame=False\n ```\n\n\n\n* **Fourier visualization** \n\n ```bash\n guang fourier\n ```\n\n* **Fourier draw anything you want** \n\n ![](\"docs/picture/fourier1.gif\")
\n\n\n\n ![](\"docs/picture/fourier0.gif\")
\n\n* **FFT convolution**\n\n ```python\n from guang.sci import fft\n A = np.random.rand(100, 100)\n B = np.random.rand(100, 100)\n fft.fft_conv2d(A, B)\n ```\n\n\n\n* Use `dict_dotable` to convert a dictionary to dot-able dictionary:\n\n ```python\n from guang.Utils.toolsFunc import dict_dotable\n a = {'a':{'b':1}}\n a = dict_dotable(a)\n print(a.a.b)\n\n >> 1\n ```\n\n\n\n* ~~Use `probar` to display current progress~~ has separated to [pyprobar](https://github.com/beidongjiedeguang/python-progress-bar)\n\n ```python\n from guang.Utils.bar import bar, probar\n for idx, x in probar(range(10)):\n time.sleep(0.8)\n\n >> 100.00% |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 0'7.2\"|0'7.2\" ETC: 12-2 23:59:8\n\n N = 1024\n a = np.linspace(2, 5, N)\n for idx, i in enumerate(a):\n time.sleep(0.01)\n bar(idx, N)\n >> 100.00% |\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 0:00:00|0:00:10 ETC: 02-19 20:33:34 \n ```\n\n\n\n* `@broadcast` broadcast a non-broadcast function.\n\n ```python\n from guang.Utils.toolsFunc import broadcast\n\n @broadcast\n def f(x):\n # A function that can map only a single element\n if x==1 or x==0:\n return x\n else:\n return f(x-1)+f(x-2)\n\n >> f([2,4,10])\n >> array([1, 3, 832040], dtype=object)\n ```\n\n\n\n* `download` download files from google drive.\n\n ```python\n from guang.Utils.google import download\n url = \"https://drive.google.com/open?id=1eU57Fkv1DBEOqi-iOs1AebD02FqVDY23\"\n outname = \"filename.zip\"\n download(url, outname)\n ```\n\n\n\n* `txt2ph` Convert Chinese characters to phoneme.\n\n ```python\n from guang.Voice.txt2pinyin import txt2ph\n txt2ph('\u4f60\u597d\uff0c\u6211\u662f\u5149')\n\n >> [('n', 'i3'), ('h', 'ao3'), ('sp1',), ('uo3',), ('sh', 'ii4'), ('g', 'uang1')]\n ```\n\n\n\n\n* `reduce_from_duration` Remove files with duration less than `least_time` seconds. \n 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)\n\n ```python\n from guang.Voice.reduce import reduce_from_duration\n\n reduced_list = reduce_from_duration(path_list, least_time=2)\n print(len(path_list), len(reduced_list))\n\n >> (6889, 6714)\n ```\n\n\n\n* Find NOT silence part of a sound file: `find_no_silence`\n\n ```python\n from guang.Voice.reduce import find_no_silence\n start, end, arg_start, arg_end = find_no_silence(filename)\n ```\n\n\n\n* Download wechat files.\n\n ```python\n from guang.wechat.Utils.download import downloads\n downloads(nickName='caloi', fileType='mp3', d_t=60)\n ```\n\n\n\n* Plots 3D Scatter:\n\n ```python\n from guang.Utils.plotly import Scatter3d\n from guang.Utils.interesting import Lorenz\n trace = Lorenz.Trace()\n x,y,z = trace[:,0], trace[:,1], trace[:,2]\n\n fig = Scatter3d()\n fig.scatter3d(x,y,z,mode=\"lines+markers\",color_line=z,color_marker=None,marker_size=2)\n fig.show()\n ```\n\n ![](\"docs/picture/Lorenz.gif\")
\n\n\n\n* Data dimension reduction:\n\n ```bash\n cd guang/ML/manifold\n python test_digits.py\n ```\n\n ![](\"docs/picture/digits_dimension_reduction.PNG\")
\n\n ```bash\n python test_s_curve\n ```\n\n\n\n ![](\"docs/picture/s_curve.gif\")
\n\n ![](\"docs/picture/s_curve_dimension_reduction.PNG\")
\n\n\n\n\n\n\n\n\n\n\n\n* :smiley: \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
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