def normalizeSizeClass(prod):
size = fallbackNormalize(prod, ["screenSizeIn", "screenSizeClassIn"])
if size is None:
return None
return roundToListValues(size, range(0, 100, 2))
def roundToListValues(val, val_list):
return argmax(val_list, lambda x: abs(val - x), -1)
if __name__ == "__main__":
size_class_ai = AttrInfo()
size_class_ai.name = "size_class"
size_class_ai.display_name = "Screen Size Class"
size_class_ai.help_text = "Blah blah blah Screen Size Class"
size_class_ai.is_discrete = False
size_class_ai.is_independant = True
size_class_ai.rank = 1
size_class_ai.units = "inches"
size_ai = AttrInfo()
size_ai.name = "size"
size_ai.display_name = "Screen Size"
size_ai.help_text = "Blah blah blah Screen Size"
size_ai.is_discrete = False
size_ai.is_independant = True
size_ai.rank = -1
size_ai.units = "inches"
def normalizeSizeClass(prod):
size = fallbackNormalize(prod, ['screenSizeIn', 'screenSizeClassIn'])
if size is None:
return None
return roundToListValues(size, range(0, 100, 2))
def roundToListValues(val, val_list):
return argmax(val_list, lambda x: abs(val - x), -1)
if __name__ == "__main__":
size_class_ai = AttrInfo()
size_class_ai.name = "size_class"
size_class_ai.display_name = "Screen Size Class"
size_class_ai.help_text = "Blah blah blah Screen Size Class"
size_class_ai.is_discrete = False
size_class_ai.is_independant = True
size_class_ai.rank = 1
size_class_ai.units = "inches"
size_ai = AttrInfo()
size_ai.name = "size"
size_ai.display_name = "Screen Size"
size_ai.help_text = "Blah blah blah Screen Size"
size_ai.is_discrete = False
size_ai.is_independant = True
size_ai.rank = -1
size_ai.units = "inches"
