




"""simple docstring"""




import enum
import inspect
from typing import Iterable, List, Optional, Tuple, Union

class        UpperCAmelCase_  (	enum.Enum						):
		UpperCamelCase									='timm'
		UpperCamelCase									='transformers'







def       __UpperCAmelCase      (				__UpperCamelCase					,							__UpperCamelCase					,							__UpperCamelCase					):






			"""simple docstring"""




			if stage_names is None:
						raise ValueError('''Stage_names must be set for transformers backbones'''					)

			if out_features is not None:
						if not isinstance(_A					,							(list,)					):
									raise ValueError(f"""out_features must be a list {type(_A					)}"""					)
						if any(feat not in stage_names for feat in out_features					):
									raise ValueError(f"""out_features must be a subset of stage_names: {stage_names} got {out_features}"""					)

			if out_indices is not None:
						if not isinstance(_A					,							(list, tuple)					):
									raise ValueError(f"""out_indices must be a list or tuple, got {type(_A					)}"""					)
						if any(idx >= len(_A					) for idx in out_indices					):
									raise ValueError('''out_indices must be valid indices for stage_names {stage_names}, got {out_indices}'''					)

			if out_features is not None and out_indices is not None:
						if len(_A					) != len(_A					):
									raise ValueError('''out_features and out_indices should have the same length if both are set'''					)
						if out_features != [stage_names[idx] for idx in out_indices]:
									raise ValueError('''out_features and out_indices should correspond to the same stages if both are set'''					)







def       __UpperCAmelCase      (				__UpperCamelCase					,							__UpperCamelCase					,							__UpperCamelCase					,							):






			"""simple docstring"""




			if out_indices is None and out_features is None:
						__lowercase	:       List[Any]				=   [len(_A					) - 1]
						__lowercase	:       Union[str, Any]				=   [stage_names[-1]]
			elif out_indices is None and out_features is not None:
						__lowercase	:       str				=   [stage_names.index(_A					) for layer in out_features]
			elif out_features is None and out_indices is not None:
						__lowercase	:       Optional[int]				=   [stage_names[idx] for idx in out_indices]
			return out_features, out_indices







def       __UpperCAmelCase      (				__UpperCamelCase					,							__UpperCamelCase					,							__UpperCamelCase					,							):






			"""simple docstring"""




			verify_out_features_out_indices(out_features=_A					,							out_indices=_A					,							stage_names=_A					)
			__lowercase	,__lowercase	:       int				=   _align_output_features_output_indices(
			    out_features=_A					,							out_indices=_A					,							stage_names=_A					)
			# Verify that the aligned out_features and out_indices are valid
			verify_out_features_out_indices(out_features=_A					,							out_indices=_A					,							stage_names=_A					)
			return output_features, output_indices

class        UpperCAmelCase_  :
		UpperCamelCase									=None
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   None:






					if getattr(self							,		'''_backbone'''							,		lowercase_   ) is None:
								raise ValueError('''self._backbone must be set before calling _init_timm_backbone'''   )

					# These will diagree with the defaults for the transformers models e.g. for resnet50
					# the transformer model has out_features = ['stem', 'stage1', 'stage2', 'stage3', 'stage4']
					# the timm model has out_features = ['act', 'layer1', 'layer2', 'layer3', 'layer4']
					__lowercase	:       int				=   [stage['''module'''] for stage in self._backbone.feature_info.info]
					__lowercase	:       str				=   [stage['''num_chs'''] for stage in self._backbone.feature_info.info]
					__lowercase	:       str				=   self._backbone.feature_info.out_indices
					__lowercase	:       Tuple				=   self._backbone.feature_info.module_name()

					# We verify the out indices and out features are valid
					verify_out_features_out_indices(
					    out_features=lowercase_							,		out_indices=lowercase_							,		stage_names=self.stage_names   )
					__lowercase	,__lowercase	:       List[Any]				=   out_features, out_indices
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   None:
					__lowercase	:       Optional[int]				=   getattr(lowercase_							,		'''stage_names'''   )
					__lowercase	:       List[Any]				=   getattr(lowercase_							,		'''out_features'''							,		lowercase_   )
					__lowercase	:       int				=   getattr(lowercase_							,		'''out_indices'''							,		lowercase_   )

					__lowercase	:       Dict				=   stage_names
					__lowercase	,__lowercase	:       Any				=   get_aligned_output_features_output_indices(
					    out_features=lowercase_							,		out_indices=lowercase_							,		stage_names=lowercase_   )
					# Number of channels for each stage. This is set in the transformer backbone model init
					__lowercase	:       int				=   None
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   None:
					__lowercase	:       Tuple				=   config

					__lowercase	:       int				=   getattr(lowercase_							,		'''use_timm_backbone'''							,		lowercase_   )
					__lowercase	:       str				=   BackboneType.TIMM if self.use_timm_backbone else BackboneType.TRANSFORMERS

					if self.backbone_type == BackboneType.TIMM:
								self._init_timm_backbone(lowercase_   )
					elif self.backbone_type == BackboneType.TRANSFORMERS:
								self._init_transformers_backbone(lowercase_   )
					else:
								raise ValueError(F"""backbone_type {self.backbone_type} not supported."""   )
		@property
		def 					_lowerCamelCase    (		self   )		->   int:
					return self._out_features
		@out_features.setter
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   Tuple:
					__lowercase	,__lowercase	:       int				=   get_aligned_output_features_output_indices(
					    out_features=lowercase_							,		out_indices=lowercase_							,		stage_names=self.stage_names   )
		@property
		def 					_lowerCamelCase    (		self   )		->   Union[str, Any]:
					return self._out_indices
		@out_indices.setter
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   Optional[int]:
					__lowercase	,__lowercase	:       List[str]				=   get_aligned_output_features_output_indices(
					    out_features=lowercase_							,		out_indices=lowercase_							,		stage_names=self.stage_names   )
		@property
		def 					_lowerCamelCase    (		self   )		->   List[str]:
					return {stage: self.num_features[i] for i, stage in enumerate(self.stage_names   )}
		@property
		def 					_lowerCamelCase    (		self   )		->   Any:
					return [self.out_feature_channels[name] for name in self.out_features]
		def 					_lowerCamelCase    (		self							,		*UpperCamelCase_							,		**UpperCamelCase_   )		->   str:
					__lowercase	:       int				=   dict(inspect.signature(self.forward   ).parameters   )
					__lowercase	:       Any				=   {k: v for k, v in kwargs.items() if k in signature}
					return self(*lowercase_							,		**lowercase_   )
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_							,		UpperCamelCase_ = None							,		UpperCamelCase_ = None							,		UpperCamelCase_ = None							,		)		->   List[Any]:
					raise NotImplementedError('''This method should be implemented by the derived class.'''   )
		def 					_lowerCamelCase    (		self   )		->   Optional[int]:
					__lowercase	:       Optional[Any]				=   super().to_dict()
					__lowercase	:       str				=   output.pop('''_out_features'''   )
					__lowercase	:       Tuple				=   output.pop('''_out_indices'''   )
					return output


class        UpperCAmelCase_  :
		@property
		def 					_lowerCamelCase    (		self   )		->   int:
					return self._out_features
		@out_features.setter
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   str:
					__lowercase	,__lowercase	:       int				=   get_aligned_output_features_output_indices(
					    out_features=lowercase_							,		out_indices=lowercase_							,		stage_names=self.stage_names   )
		@property
		def 					_lowerCamelCase    (		self   )		->   str:
					return self._out_indices
		@out_indices.setter
		def 					_lowerCamelCase    (		self							,		UpperCamelCase_   )		->   Optional[int]:
					__lowercase	,__lowercase	:       int				=   get_aligned_output_features_output_indices(
					    out_features=lowercase_							,		out_indices=lowercase_							,		stage_names=self.stage_names   )
		def 					_lowerCamelCase    (		self   )		->   str:
					__lowercase	:       Any				=   super().to_dict()
					__lowercase	:       Optional[int]				=   output.pop('''_out_features'''   )
					__lowercase	:       Any				=   output.pop('''_out_indices'''   )
					return output









"""simple docstring"""




from collections import defaultdict







def       __UpperCAmelCase      (				__UpperCamelCase					):
			__lowercase	:       defaultdict[str, int]				=   defaultdict(__UpperCamelCase					)
			# Creating a dictionary containing count of each word
			for word in sentence.split():
						occurrence[word] += 1
			return occurrence


if __name__ == "__main__":
			for word, count in word_occurrence('INPUT STRING').items():
						print(F"{word}: {count}")



