sagemaker_processing/processing_with_bring_your_own_container_for_beginner/container/preprocess_code/preprocess.py [8:15]:
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def hist_flatten(nparray):
    hist,bins = np.histogram(nparray.flatten(),256,[0,256])
    cdf = hist.cumsum()
    cdf_normalized = cdf * hist.max()/ cdf.max()
    cdf_m = np.ma.masked_equal(cdf,0)
    cdf_m = (cdf_m - cdf_m.min())*255/(cdf_m.max()-cdf_m.min())
    cdf = np.ma.filled(cdf_m,0).astype('uint8')
    return cdf[nparray]
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sagemaker_processing/processing_with_bring_your_own_container_for_beginner/preprocess_script/preprocess.py [7:14]:
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def hist_flatten(nparray):
    hist,bins = np.histogram(nparray.flatten(),256,[0,256])
    cdf = hist.cumsum()
    cdf_normalized = cdf * hist.max()/ cdf.max()
    cdf_m = np.ma.masked_equal(cdf,0)
    cdf_m = (cdf_m - cdf_m.min())*255/(cdf_m.max()-cdf_m.min())
    cdf = np.ma.filled(cdf_m,0).astype('uint8')
    return cdf[nparray]
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