






from typing import Any
def 		_a       ( a					:list      ,				a					:list      ,				a					:dict      ,				a					:dict      ,				a					:dict      ,				)				->     list:
 _validation(
     a      ,				a      ,				a      ,				a      ,				a      ,				)
 # Creates data structures and fill initial step
 a						    = {}
 a						    = {}
 for state in states_space:
  a						    = observations_space[0]
  a						    = (
      initial_probabilities[state] * emission_probabilities[state][observation]
  )
  a						    = None

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

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

   a						    = arg_max

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

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

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

 return result
def 		_a       ( a					:Any      ,				a					:Any      ,				a					:Any      ,				a					:Any      ,				a					:Any      ,				)				->     None:
 _validate_not_empty(
     a      ,				a      ,				a      ,				a      ,				a      ,				)
 _validate_lists(a      ,				a					)
 _validate_dicts(
     a      ,				a      ,				a					)
def 		_a       ( a					:Any      ,				a					:Any      ,				a					:Any      ,				a					:Any      ,				a					:Any      ,				)				->     None:
 if not all(
     [
         observations_space,
         states_space,
         initial_probabilities,
         transition_probabilities,
         emission_probabilities,
     ]					):
  raise ValueError('''There\'s an empty parameter'''					)
def 		_a       ( a					:Any      ,				a					:Any					)				->     None:
 _validate_list(a      ,				'''observations_space'''					)
 _validate_list(a      ,				'''states_space'''					)
def 		_a       ( a					:Any      ,				a					:str					)				->     None:
 if not isinstance(_object      ,				a					):
  a						    = F"""{var_name} must be a list"""
  raise ValueError(a					)
 else:
  for x in _object:
   if not isinstance(a      ,				a					):
    a						    = F"""{var_name} must be a list of strings"""
    raise ValueError(a					)
def 		_a       ( a					:Any      ,				a					:Any      ,				a					:Any      ,				)				->     None:
 _validate_dict(a      ,				'''initial_probabilities'''      ,				a					)
 _validate_nested_dict(a      ,				'''transition_probabilities'''					)
 _validate_nested_dict(a      ,				'''emission_probabilities'''					)
def 		_a       ( a					:Any      ,				a					:str					)				->     None:
 _validate_dict(_object      ,				a      ,				a					)
 for x in _object.values():
  _validate_dict(a      ,				a      ,				a      ,				a					)
def 		_a       ( a					:Any      ,				a					:str      ,				a					:type      ,				a					:bool = False					)				->     None:
 if not isinstance(_object      ,				a					):
  a						    = F"""{var_name} must be a dict"""
  raise ValueError(a					)
 if not all(isinstance(a      ,				a					) for x in _object					):
  a						    = F"""{var_name} all keys must be strings"""
  raise ValueError(a					)
 if not all(isinstance(a      ,				a					) for x in _object.values()					):
  a						    = '''nested dictionary ''' if nested else ''''''
  a						    = F"""{var_name} {nested_text}all values must be {value_type.__name__}"""
  raise ValueError(a					)


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

     testmod()










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase__							  =						{"processing_layoutxlm": ["LayoutXLMProcessor"]}

try:
     if not is_sentencepiece_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__							  =						["LayoutXLMTokenizer"]

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__							  =						["LayoutXLMTokenizerFast"]

if TYPE_CHECKING:
     from .processing_layoutxlm import LayoutXLMProcessor

     try:
          if not is_sentencepiece_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_layoutxlm import LayoutXLMTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
     import sys

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


