



"""simple docstring"""


from typing import Any

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     ):
						_validation(
						    lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     )
						# Creates data structures and fill initial step
						UpperCAmelCase					=			{}
						UpperCAmelCase					=			{}
						for state in states_space:
												UpperCAmelCase					=			observations_space[0]
												UpperCAmelCase					=			(
												    initial_probabilities[state] * emission_probabilities[state][observation]
												)
												UpperCAmelCase					=			None

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

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

																		UpperCAmelCase					=			arg_max

    # The final observation
						UpperCAmelCase					=			observations_space[len(lowercase_						) - 1]

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

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

						return result

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     ):
						_validate_not_empty(
						    lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     )
						_validate_lists(lowercase_		,     lowercase_						)
						_validate_dicts(
						    lowercase_		,     lowercase_		,     lowercase_						)

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     lowercase_		,     ):
						if not all(
						    [
						        observations_space,
						        states_space,
						        initial_probabilities,
						        transition_probabilities,
						        emission_probabilities,
						    ]						):
												raise ValueError('There\'s an empty parameter'						)

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_						):
						_validate_list(lowercase_		,     'observations_space'						)
						_validate_list(lowercase_		,     'states_space'						)

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_						):
						if not isinstance(_object		,     lowercase_						):
												UpperCAmelCase					=			F"""{var_name} must be a list"""
												raise ValueError(lowercase_						)
						else:
												for x in _object:
																		if not isinstance(lowercase_		,     lowercase_						):
																								UpperCAmelCase					=			F"""{var_name} must be a list of strings"""
																								raise ValueError(lowercase_						)

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_		,     ):
						_validate_dict(lowercase_		,     'initial_probabilities'		,     lowercase_						)
						_validate_nested_dict(lowercase_		,     'transition_probabilities'						)
						_validate_nested_dict(lowercase_		,     'emission_probabilities'						)

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_						):
						_validate_dict(_object		,     lowercase_		,     lowercase_						)
						for x in _object.values():
												_validate_dict(lowercase_		,     lowercase_		,     lowercase_		,     lowercase_						)

def 			_lowerCAmelCase				(       lowercase_		,     lowercase_		,     lowercase_		,     lowercase_ = False						):
						if not isinstance(_object		,     lowercase_						):
												UpperCAmelCase					=			F"""{var_name} must be a dict"""
												raise ValueError(lowercase_						)
						if not all(isinstance(lowercase_		,     lowercase_						) for x in _object						):
												UpperCAmelCase					=			F"""{var_name} all keys must be strings"""
												raise ValueError(lowercase_						)
						if not all(isinstance(lowercase_		,     lowercase_						) for x in _object.values()						):
												UpperCAmelCase					=			'nested dictionary ' if nested else ''
												UpperCAmelCase					=			F"""{var_name} {nested_text}all values must be {value_type.__name__}"""
												raise ValueError(lowercase_						)


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

				testmod()










"""simple docstring"""


# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


snake_case_    					=	{
    """configuration_cpmant""": ["""CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CpmAntConfig"""],
    """tokenization_cpmant""": ["""CpmAntTokenizer"""],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_    					=	[
				    """CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """CpmAntForCausalLM""",
				    """CpmAntModel""",
				    """CpmAntPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
				from .tokenization_cpmant import CpmAntTokenizer

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_cpmant import (
								    CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    CpmAntForCausalLM,
								    CpmAntModel,
								    CpmAntPreTrainedModel,
								)


else:
				import sys

				snake_case_    					=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





