

'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


__snake_case							:			Any      		= {
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:			Any      		= ["""XLMProphetNetTokenizer"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:			Optional[int]      		= [
	    """XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """XLMProphetNetDecoder""",
	    """XLMProphetNetEncoder""",
	    """XLMProphetNetForCausalLM""",
	    """XLMProphetNetForConditionalGeneration""",
	    """XLMProphetNetModel""",
	    """XLMProphetNetPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xlm_prophetnet import (
		    XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
		    XLMProphetNetDecoder,
		    XLMProphetNetEncoder,
		    XLMProphetNetForCausalLM,
		    XLMProphetNetForConditionalGeneration,
		    XLMProphetNetModel,
		    XLMProphetNetPreTrainedModel,
		)

else:
	import sys

	__snake_case							:			Tuple      		= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





from cva import destroyAllWindows, imread, imshow, waitKey


def 				_UpperCAmelCase							(	a__     ,  a__):

			'''simple docstring'''



			a_       ,				a_	:	Optional[int]          =   img.shape[0], img.shape[1]

			def to_grayscale(a__     ,  a__     ,  a__):
						return 0.2126 * red + 0.587 * green + 0.114 * blue

			def normalize(a__):
						return min(a__     ,  2_5_5)

			for i in range(a__):
						for j in range(a__):
									a_	:	Optional[Any]          =   int(to_grayscale(*img[i][j]))
									a_	:	Union[str, Any]          =   [
									    normalize(a__),
									    normalize(greyscale + factor),
									    normalize(greyscale + 2 * factor),
									]

			return img


if __name__ == "__main__":
	# read original image
	__snake_case							:			Dict      		= {
	    percentage: imread("""image_data/lena.jpg""", 1) for percentage in (10, 20, 30, 40)
	}

	for percentage, img in images.items():
		make_sepia(img, percentage)

	for percentage, img in images.items():
		imshow(F"""Original image with sepia (factor: {percentage})""", img)

	waitKey(0)
	destroyAllWindows()


