



from typing import Any






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       ) ->      list:
						_validation(
						    lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       )
						# Creates data structures and fill initial step
						__lowercase					=				{}
						__lowercase					=				{}
						for state in states_space:
												__lowercase					=				observations_space[0]
												__lowercase					=				(
												    initial_probabilities[state] * emission_probabilities[state][observation]
												)
												__lowercase					=				None

						# Fills the data structure with the probabilities of
						# different transitions and pointers to previous states
						for o in range(1						,       len(lowercase__   )   ):
												__lowercase					=				observations_space[o]
												__lowercase					=				observations_space[o - 1]
												for state in states_space:
																		# Calculates the argmax for probability function
																		__lowercase					=				""""""
																		__lowercase					=				-1
																		for k_state in states_space:
																								__lowercase					=				(
																								    probabilities[(k_state, prior_observation)]
																								    * transition_probabilities[k_state][state]
																								    * emission_probabilities[state][observation]
																								)
																								if probability > max_probability:
																														__lowercase					=				probability
																														__lowercase					=				k_state

            # Update probabilities and pointers dicts
																		__lowercase					=				(
																		    probabilities[(arg_max, prior_observation)]
																		    * transition_probabilities[arg_max][state]
																		    * emission_probabilities[state][observation]
																		)

																		__lowercase					=				arg_max

    # The final observation
						__lowercase					=				observations_space[len(lowercase__   ) - 1]

						# argmax for given final observation
						__lowercase					=				""""""
						__lowercase					=				-1
						for k_state in states_space:
												__lowercase					=				probabilities[(k_state, final_observation)]
												if probability > max_probability:
																		__lowercase					=				probability
																		__lowercase					=				k_state
						__lowercase					=				arg_max

						# Process pointers backwards
						__lowercase					=				last_state
						__lowercase					=				[]
						for o in range(len(lowercase__   ) - 1						,       -1						,       -1   ):
												result.append(lowercase__   )
												__lowercase					=				pointers[previous, observations_space[o]]
						result.reverse()

						return result






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       ) ->      None:
						_validate_not_empty(
						    lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       )
						_validate_lists(lowercase__						,       lowercase__   )
						_validate_dicts(
						    lowercase__						,       lowercase__						,       lowercase__   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       lowercase__						,       ) ->      None:
						if not all(
						    [
						        observations_space,
						        states_space,
						        initial_probabilities,
						        transition_probabilities,
						        emission_probabilities,
						    ]   ):
												raise ValueError("""There's an empty parameter"""   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      None:
						_validate_list(lowercase__						,       """observations_space"""   )
						_validate_list(lowercase__						,       """states_space"""   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      None:
						if not isinstance(_object						,       lowercase__   ):
												__lowercase					=				F"{var_name} must be a list"
												raise ValueError(lowercase__   )
						else:
												for x in _object:
																		if not isinstance(lowercase__						,       lowercase__   ):
																								__lowercase					=				F"{var_name} must be a list of strings"
																								raise ValueError(lowercase__   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__						,       ) ->      None:
						_validate_dict(lowercase__						,       """initial_probabilities"""						,       lowercase__   )
						_validate_nested_dict(lowercase__						,       """transition_probabilities"""   )
						_validate_nested_dict(lowercase__						,       """emission_probabilities"""   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__   ) ->      None:
						_validate_dict(_object						,       lowercase__						,       lowercase__   )
						for x in _object.values():
												_validate_dict(lowercase__						,       lowercase__						,       lowercase__						,       lowercase__   )






def  UpperCAmelCase__    (    lowercase__						,       lowercase__						,       lowercase__						,       lowercase__ = False   ) ->      None:
						if not isinstance(_object						,       lowercase__   ):
												__lowercase					=				F"{var_name} must be a dict"
												raise ValueError(lowercase__   )
						if not all(isinstance(lowercase__						,       lowercase__   ) for x in _object   ):
												__lowercase					=				F"{var_name} all keys must be strings"
												raise ValueError(lowercase__   )
						if not all(isinstance(lowercase__						,       lowercase__   ) for x in _object.values()   ):
												__lowercase					=				"""nested dictionary """ if nested else """"""
												__lowercase					=				F"{var_name} {nested_text}all values must be {value_type.__name__}"
												raise ValueError(lowercase__   )


if __name__ == "__main__":
			from doctest import testmod

			testmod()










from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase__ =						logging.get_logger(__name__)

UpperCamelCase__ =						{
    "hustvl/yolos-small": "https://huggingface.co/hustvl/yolos-small/resolve/main/config.json",
    # See all YOLOS models at https://huggingface.co/models?filter=yolos
}
class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Union[str, Any]      =			"""yolos"""





			def __init__(				self	:       Optional[int]			,     lowercase	:       Any=768			,     lowercase	:       Tuple=12			,     lowercase	:       Tuple=12			,     lowercase	:       str=3_072			,     lowercase	:       Optional[Any]="gelu"			,     lowercase	:       Union[str, Any]=0.0			,     lowercase	:       Dict=0.0			,     lowercase	:       Optional[int]=0.02			,     lowercase	:       Optional[Any]=1E-1_2			,     lowercase	:       Tuple=[512, 864]			,     lowercase	:       Optional[int]=16			,     lowercase	:       Dict=3			,     lowercase	:       Optional[Any]=True			,     lowercase	:       Optional[int]=100			,     lowercase	:       Optional[int]=True			,     lowercase	:       Any=False			,     lowercase	:       Any=1			,     lowercase	:       Any=5			,     lowercase	:       List[str]=2			,     lowercase	:       Union[str, Any]=5			,     lowercase	:       str=2			,     lowercase	:       Tuple=0.1			,     **lowercase	:       str			,     )						->					Optional[Any]:
									"""simple docstring"""







									super().__init__(**lowercase   )

									__lowercase					=				hidden_size
									__lowercase					=				num_hidden_layers
									__lowercase					=				num_attention_heads
									__lowercase					=				intermediate_size
									__lowercase					=				hidden_act
									__lowercase					=				hidden_dropout_prob
									__lowercase					=				attention_probs_dropout_prob
									__lowercase					=				initializer_range
									__lowercase					=				layer_norm_eps
									__lowercase					=				image_size
									__lowercase					=				patch_size
									__lowercase					=				num_channels
									__lowercase					=				qkv_bias
									__lowercase					=				num_detection_tokens
									__lowercase					=				use_mid_position_embeddings
									__lowercase					=				auxiliary_loss
									# Hungarian matcher
									__lowercase					=				class_cost
									__lowercase					=				bbox_cost
									__lowercase					=				giou_cost
									# Loss coefficients
									__lowercase					=				bbox_loss_coefficient
									__lowercase					=				giou_loss_coefficient
									__lowercase					=				eos_coefficient





class 			_lowerCAmelCase   ( _UpperCAmelCase			):






			"""simple docstring"""





			lowercase__      :  Dict      =			version.parse("""1.11"""			)





			@property
			def 		snake_case__			(				self	:       List[str]   )						->					Mapping[str, Mapping[int, str]]:
									"""simple docstring"""







									return OrderedDict(
									    [
									        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
									    ]   )





			@property
			def 		snake_case__			(				self	:       int   )						->					float:
									"""simple docstring"""







									return 1E-4







			@property
			def 		snake_case__			(				self	:       Optional[Any]   )						->					int:
									"""simple docstring"""







									return 12





