"""simple docstring"""






from typing import Any




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

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

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

												SCREAMING_SNAKE_CASE__		  =				arg_max

    # The final observation
				SCREAMING_SNAKE_CASE__		  =				observations_space[len(UpperCAmelCase__       ) - 1]

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

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

				return result




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




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




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




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




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




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




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


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

						testmod()





"""simple docstring"""






import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


_A   					=    HUGGINGFACE_HUB_CACHE


_A   					=    'config.json'
_A   					=    'diffusion_pytorch_model.bin'
_A   					=    'diffusion_flax_model.msgpack'
_A   					=    'model.onnx'
_A   					=    'diffusion_pytorch_model.safetensors'
_A   					=    'weights.pb'
_A   					=    'https://huggingface.co'
_A   					=    default_cache_path
_A   					=    'diffusers_modules'
_A   					=    os.getenv('HF_MODULES_CACHE', os.path.join(hf_cache_home, 'modules'))
_A   					=    ['fp16', 'non-ema']
_A   					=    '.self_attn'




