




"""simple docstring"""




import os
import shutil
from pathlib import Path
from typing import Optional, Union

import numpy as np
from huggingface_hub import hf_hub_download

from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging


if is_onnx_available():
					import onnxruntime as ort


lowerCAmelCase							:			str     							=							logging.get_logger(__name__)

lowerCAmelCase							:			int     							=							{
    """tensor(bool)""": np.bool_,
    """tensor(int8)""": np.inta,
    """tensor(uint8)""": np.uinta,
    """tensor(int16)""": np.intaa,
    """tensor(uint16)""": np.uintaa,
    """tensor(int32)""": np.intaa,
    """tensor(uint32)""": np.uintaa,
    """tensor(int64)""": np.intaa,
    """tensor(uint64)""": np.uintaa,
    """tensor(float16)""": np.floataa,
    """tensor(float)""": np.floataa,
    """tensor(double)""": np.floataa,
}






class     __magic_name__							:






				'''simple docstring'''





				def __init__(       self		, _a=None		, **_a ):





							"""simple docstring"""
							logger.info("""`diffusers.OnnxRuntimeModel` is experimental and might change in the future.""" )
							lowerCamelCase			      =					model
							lowerCamelCase			      =					kwargs.get("""model_save_dir"""		, _a )
							lowerCamelCase			      =					kwargs.get("""latest_model_name"""		, _a )





				def __call__(       self		, **_a ):





							"""simple docstring"""
							lowerCamelCase			      =					{k: np.array(_a ) for k, v in kwargs.items()}
							return self.model.run(_a		, _a )





				@staticmethod
				def    _lowerCAmelCase				(       _a		, _a=None		, _a=None ):





							"""simple docstring"""
							if provider is None:
										logger.info("""No onnxruntime provider specified, using CPUExecutionProvider""" )
										lowerCamelCase			      =					"""CPUExecutionProvider"""

							return ort.InferenceSession(_a		, providers=[provider]		, sess_options=_a )





				def    _lowerCAmelCase				(       self		, _a		, _a = None		, **_a ):





							"""simple docstring"""
							lowerCamelCase			      =					file_name if file_name is not None else ONNX_WEIGHTS_NAME

							lowerCamelCase			      =					self.model_save_dir.joinpath(self.latest_model_name )
							lowerCamelCase			      =					Path(_a ).joinpath(_a )
							try:
										shutil.copyfile(_a		, _a )
							except shutil.SameFileError:
										pass

							# copy external weights (for models >2GB)
							lowerCamelCase			      =					self.model_save_dir.joinpath(_a )
							if src_path.exists():
										lowerCamelCase			      =					Path(_a ).joinpath(_a )
										try:
													shutil.copyfile(_a		, _a )
										except shutil.SameFileError:
													pass





				def    _lowerCAmelCase				(       self		, _a		, **_a		, ):





							"""simple docstring"""
							if os.path.isfile(_a ):
										logger.error(f'Provided path ({save_directory}) should be a directory, not a file' )
										return

							os.makedirs(_a		, exist_ok=_a )

							# saving model weights/files
							self._save_pretrained(_a		, **_a )





				@classmethod
				def    _lowerCAmelCase				(       cls		, _a		, _a = None		, _a = None		, _a = False		, _a = None		, _a = None		, _a = None		, _a = None		, **_a		, ):





							"""simple docstring"""
							lowerCamelCase			      =					file_name if file_name is not None else ONNX_WEIGHTS_NAME
							# load model from local directory
							if os.path.isdir(_a ):
										lowerCamelCase			      =					OnnxRuntimeModel.load_model(
										    os.path.join(_a		, _a )		, provider=_a		, sess_options=_a )
										lowerCamelCase			      =					Path(_a )
							# load model from hub
							else:
										# download model
										lowerCamelCase			      =					hf_hub_download(
										    repo_id=_a		, filename=_a		, use_auth_token=_a		, revision=_a		, cache_dir=_a		, force_download=_a		, )
										lowerCamelCase			      =					Path(_a ).parent
										lowerCamelCase			      =					Path(_a ).name
										lowerCamelCase			      =					OnnxRuntimeModel.load_model(_a		, provider=_a		, sess_options=_a )
							return cls(model=_a		, **_a )





				@classmethod
				def    _lowerCAmelCase				(       cls		, _a		, _a = True		, _a = None		, _a = None		, **_a		, ):





							"""simple docstring"""
							lowerCamelCase			      =					None
							if len(str(_a ).split("""@""" ) ) == 2:
										lowerCamelCase      ,   lowerCamelCase			      =					model_id.split("""@""" )

							return cls._from_pretrained(
							    model_id=_a		, revision=_a		, cache_dir=_a		, force_download=_a		, use_auth_token=_a		, **_a		, )









"""simple docstring"""




from typing import Any



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

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

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

									lowerCamelCase			      =					arg_max

    # The final observation
			lowerCamelCase			      =					observations_space[len(snake_case__				) - 1]

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

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

			return result



def     a__ (				snake_case__       , snake_case__       , snake_case__       , snake_case__       , snake_case__       , )						->					None:
			_validate_not_empty(
			    snake_case__       , snake_case__       , snake_case__       , snake_case__       , snake_case__       , )
			_validate_lists(snake_case__       , snake_case__				)
			_validate_dicts(
			    snake_case__       , snake_case__       , snake_case__				)



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



def     a__ (				snake_case__       , snake_case__				)						->					None:
			_validate_list(snake_case__       , """observations_space"""				)
			_validate_list(snake_case__       , """states_space"""				)



def     a__ (				snake_case__       , snake_case__				)						->					None:
			if not isinstance(_object       , snake_case__				):
						lowerCamelCase			      =					F'{var_name} must be a list'
						raise ValueError(snake_case__				)
			else:
						for x in _object:
									if not isinstance(snake_case__       , snake_case__				):
												lowerCamelCase			      =					F'{var_name} must be a list of strings'
												raise ValueError(snake_case__				)



def     a__ (				snake_case__       , snake_case__       , snake_case__       , )						->					None:
			_validate_dict(snake_case__       , """initial_probabilities"""       , snake_case__				)
			_validate_nested_dict(snake_case__       , """transition_probabilities"""				)
			_validate_nested_dict(snake_case__       , """emission_probabilities"""				)



def     a__ (				snake_case__       , snake_case__				)						->					None:
			_validate_dict(_object       , snake_case__       , snake_case__				)
			for x in _object.values():
						_validate_dict(snake_case__       , snake_case__       , snake_case__       , snake_case__				)



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


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

					testmod()



