
import string
from math import logaa




def 				a						(							snake_case__:					str						,   snake_case__:					str					):


				'''simple docstring'''
				lowercase_       =					document.translate(
				    str.maketrans(''''''						,   ''''''						,   string.punctuation					)					).replace('''\n'''						,   ''''''					)
				lowercase_       =					document_without_punctuation.split(''' '''					)  # word tokenization
				return len([word for word in tokenize_document if word.lower() == term.lower()]					)




def 				a						(							snake_case__:					str						,   snake_case__:					str					):


				'''simple docstring'''
				lowercase_       =					corpus.lower().translate(
				    str.maketrans(''''''						,   ''''''						,   string.punctuation					)					)  # strip all punctuation and replace it with ''
				lowercase_       =					corpus_without_punctuation.split('''\n'''					)
				lowercase_       =					term.lower()
				return (len([doc for doc in docs if term in doc]					), len(snake_case__					))




def 				a						(							snake_case__:					int						,   snake_case__:					int						,   snake_case__:					Tuple=False					):


				'''simple docstring'''
				if smoothing:
								if n == 0:
												raise ValueError('''log10(0) is undefined.'''					)
								return round(1 + logaa(n / (1 + df)					)						,   3					)

				if df == 0:
								raise ZeroDivisionError('''df must be > 0'''					)
				elif n == 0:
								raise ValueError('''log10(0) is undefined.'''					)
				return round(logaa(n / df					)						,   3					)




def 				a						(							snake_case__:					int						,   snake_case__:					int					):


				'''simple docstring'''
				return round(tf * idf						,   3					)






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


__a  			=					logging.get_logger(__name__)
class  lowercase__(				UpperCAmelCase							):



	"""simple docstring"""




	a			:Union[str, Any]         =	'upernet'
	def __init__(       self  :			Dict       ,							SCREAMING_SNAKE_CASE_  :			Dict=None       ,							SCREAMING_SNAKE_CASE_  :			str=5_1_2       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.02       ,							SCREAMING_SNAKE_CASE_  :			Optional[Any]=[1, 2, 3, 6]       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=True       ,							SCREAMING_SNAKE_CASE_  :			Tuple=0.4       ,							SCREAMING_SNAKE_CASE_  :			Optional[int]=3_8_4       ,							SCREAMING_SNAKE_CASE_  :			str=2_5_6       ,							SCREAMING_SNAKE_CASE_  :			Dict=1       ,							SCREAMING_SNAKE_CASE_  :			Tuple=False       ,							SCREAMING_SNAKE_CASE_  :			str=2_5_5       ,							**SCREAMING_SNAKE_CASE_  :			str       ,							)       ->     int:
					super().__init__(**SCREAMING_SNAKE_CASE_       )

					if backbone_config is None:
									logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''       )
									lowercase_       =					CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']       )
					elif isinstance(SCREAMING_SNAKE_CASE_       ,							SCREAMING_SNAKE_CASE_       ):
									lowercase_       =					backbone_config.get('''model_type'''       )
									lowercase_       =					CONFIG_MAPPING[backbone_model_type]
									lowercase_       =					config_class.from_dict(SCREAMING_SNAKE_CASE_       )

					lowercase_       =					backbone_config
					lowercase_       =					hidden_size
					lowercase_       =					initializer_range
					lowercase_       =					pool_scales
					lowercase_       =					use_auxiliary_head
					lowercase_       =					auxiliary_loss_weight
					lowercase_       =					auxiliary_in_channels
					lowercase_       =					auxiliary_channels
					lowercase_       =					auxiliary_num_convs
					lowercase_       =					auxiliary_concat_input
					lowercase_       =					loss_ignore_index




	def 						_lowercase  (       self  :			List[str]       )       ->     List[str]:
					lowercase_       =					copy.deepcopy(self.__dict__       )
					lowercase_       =					self.backbone_config.to_dict()
					lowercase_       =					self.__class__.model_type
					return output




