How to use the clu.predicates.isslotted function in clu

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github fish2000 / instakit / instakit / processors / adjust.py View on Github external
def test():
    # from clu.predicates import haspyattr
    from clu.predicates import isslotted
    
    G = globals()
    
    for typename in __all__:
        if typename != "Adjustment":
            assert G[typename]
            assert isslotted(G[typename]())
            # assert not isdictish(G[typename]())
github fish2000 / instakit / instakit / processors / blur.py View on Github external
processors = (Contour(),
                  Detail(),
                  Emboss(),
                  EdgeEnhance(),
                  EdgeEnhanceMore(),
                  FindEdges(),
                  Smooth(),
                  SmoothMore(),
                  Sharpen(),
                  UnsharpMask(),
                  GaussianBlur(sigmaX=3),
                  SimpleGaussianBlur(radius=3))
    
    for processor in processors:
        assert isslotted(processor)
    
    for image_input in image_inputs:
        # image_input.show()
        # for processor in processors:
        #     processor.process(image_input).show()
        
        # image_input.show()
        # Contour().process(image_input).show()
        # Detail().process(image_input).show()
        # Emboss().process(image_input).show()
        # EdgeEnhance().process(image_input).show()
        # EdgeEnhanceMore().process(image_input).show()
        # FindEdges().process(image_input).show()
        # Smooth().process(image_input).show()
        # SmoothMore().process(image_input).show()
        # Sharpen().process(image_input).show()