



"""simple docstring"""

from typing import Any







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  list				,    SCREAMING_SNAKE_CASE__ :  list				,    SCREAMING_SNAKE_CASE__ :  dict				,    SCREAMING_SNAKE_CASE__ :  dict				,    SCREAMING_SNAKE_CASE__ :  dict				,    ):



					"""simple docstring"""





					_validation(
					    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    )
					# Creates data structures and fill initial step
					snake_case_					:		dict 					=					{}
					snake_case_					:		dict 					=					{}
					for state in states_space:
										snake_case_					:		str 					=					observations_space[0]
										snake_case_					:		Union[str, Any] 					=					(
										    initial_probabilities[state] * emission_probabilities[state][observation]
										)
										snake_case_					:		int 					=					None

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

            # Update probabilities and pointers dicts
															snake_case_					:		Optional[Any] 					=					(
															    probabilities[(arg_max, prior_observation)]
															    * transition_probabilities[arg_max][state]
															    * emission_probabilities[state][observation]
															)

															snake_case_					:		Any 					=					arg_max

    # The final observation
					snake_case_					:		Dict 					=					observations_space[len(SCREAMING_SNAKE_CASE__			) - 1]

					# argmax for given final observation
					snake_case_					:		str 					=					""""""
					snake_case_					:		Tuple 					=					-1
					for k_state in states_space:
										snake_case_					:		int 					=					probabilities[(k_state, final_observation)]
										if probability > max_probability:
															snake_case_					:		Dict 					=					probability
															snake_case_					:		List[Any] 					=					k_state
					snake_case_					:		Optional[int] 					=					arg_max

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

					return result







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    ):



					"""simple docstring"""





					_validate_not_empty(
					    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    )
					_validate_lists(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					_validate_dicts(
					    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    ):



					"""simple docstring"""





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







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any			):



					"""simple docstring"""





					_validate_list(SCREAMING_SNAKE_CASE__				,    """observations_space"""			)
					_validate_list(SCREAMING_SNAKE_CASE__				,    """states_space"""			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  str			):



					"""simple docstring"""





					if not isinstance(_object				,    SCREAMING_SNAKE_CASE__			):
										snake_case_					:		Optional[int] 					=					f'{var_name} must be a list'
										raise ValueError(SCREAMING_SNAKE_CASE__			)
					else:
										for x in _object:
															if not isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			):
																				snake_case_					:		Dict 					=					f'{var_name} must be a list of strings'
																				raise ValueError(SCREAMING_SNAKE_CASE__			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  Any				,    ):



					"""simple docstring"""





					_validate_dict(SCREAMING_SNAKE_CASE__				,    """initial_probabilities"""				,    SCREAMING_SNAKE_CASE__			)
					_validate_nested_dict(SCREAMING_SNAKE_CASE__				,    """transition_probabilities"""			)
					_validate_nested_dict(SCREAMING_SNAKE_CASE__				,    """emission_probabilities"""			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  str			):



					"""simple docstring"""





					_validate_dict(_object				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)
					for x in _object.values():
										_validate_dict(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			)







def 							SCREAMING_SNAKE_CASE__      (		SCREAMING_SNAKE_CASE__ :  Any				,    SCREAMING_SNAKE_CASE__ :  str				,    SCREAMING_SNAKE_CASE__ :  type				,    SCREAMING_SNAKE_CASE__ :  bool = False			):



					"""simple docstring"""





					if not isinstance(_object				,    SCREAMING_SNAKE_CASE__			):
										snake_case_					:		Optional[Any] 					=					f'{var_name} must be a dict'
										raise ValueError(SCREAMING_SNAKE_CASE__			)
					if not all(isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			) for x in _object			):
										snake_case_					:		Optional[Any] 					=					f'{var_name} all keys must be strings'
										raise ValueError(SCREAMING_SNAKE_CASE__			)
					if not all(isinstance(SCREAMING_SNAKE_CASE__				,    SCREAMING_SNAKE_CASE__			) for x in _object.values()			):
										snake_case_					:		Optional[Any] 					=					"""nested dictionary """ if nested else """"""
										snake_case_					:		int 					=					f'{var_name} {nested_text}all values must be {value_type.__name__}'
										raise ValueError(SCREAMING_SNAKE_CASE__			)


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

			testmod()









"""simple docstring"""

import logging
import os
from typing import List, TextIO, Union

from conllu import parse_incr
from utils_ner import InputExample, Split, TokenClassificationTask


a_			   =					logging.getLogger(__name__)







class    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						def __init__(self   ,		lowercase__=-1       ):
											# in NER datasets, the last column is usually reserved for NER label
											snake_case_					:		Union[str, Any] 					=					label_idx







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if isinstance(lowercase__   ,		lowercase__       ):
																snake_case_					:		List[str] 					=					mode.value
											snake_case_					:		List[Any] 					=					os.path.join(lowercase__   ,		f'{mode}.txt'       )
											snake_case_					:		Tuple 					=					1
											snake_case_					:		Any 					=					[]
											with open(lowercase__   ,		encoding="""utf-8"""       ) as f:
																snake_case_					:		str 					=					[]
																snake_case_					:		List[Any] 					=					[]
																for line in f:
																					if line.startswith("""-DOCSTART-"""       ) or line == "" or line == "\n":
																										if words:
																															examples.append(InputExample(guid=f'{mode}-{guid_index}'   ,		words=lowercase__   ,		labels=lowercase__       )       )
																															guid_index += 1
																															snake_case_					:		Optional[Any] 					=					[]
																															snake_case_					:		int 					=					[]
																					else:
																										snake_case_					:		Optional[Any] 					=					line.split(""" """       )
																										words.append(splits[0]       )
																										if len(lowercase__       ) > 1:
																															labels.append(splits[self.label_idx].replace("""\n"""   ,		""""""       )       )
																										else:
																															# Examples could have no label for mode = "test"
																															labels.append("""O"""       )
																if words:
																					examples.append(InputExample(guid=f'{mode}-{guid_index}'   ,		words=lowercase__   ,		labels=lowercase__       )       )
											return examples







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		str 					=					0
											for line in test_input_reader:
																if line.startswith("""-DOCSTART-"""       ) or line == "" or line == "\n":
																					writer.write(lowercase__       )
																					if not preds_list[example_id]:
																										example_id += 1
																elif preds_list[example_id]:
																					snake_case_					:		Optional[int] 					=					line.split()[0] + """ """ + preds_list[example_id].pop(0       ) + """\n"""
																					writer.write(lowercase__       )
																else:
																					logger.warning("""Maximum sequence length exceeded: No prediction for '%s'."""   ,		line.split()[0]       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if path:
																with open(lowercase__   ,		"""r"""       ) as f:
																					snake_case_					:		Dict 					=					f.read().splitlines()
																if "O" not in labels:
																					snake_case_					:		List[Any] 					=					["""O"""] + labels
																return labels
											else:
																return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]







class    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						def __init__(self       ):
											# in CONLL2003 dataset chunk column is second-to-last
											super().__init__(label_idx=-2       )







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if path:
																with open(lowercase__   ,		"""r"""       ) as f:
																					snake_case_					:		Any 					=					f.read().splitlines()
																if "O" not in labels:
																					snake_case_					:		Tuple 					=					["""O"""] + labels
																return labels
											else:
																return [
																    "O",
																    "B-ADVP",
																    "B-INTJ",
																    "B-LST",
																    "B-PRT",
																    "B-NP",
																    "B-SBAR",
																    "B-VP",
																    "B-ADJP",
																    "B-CONJP",
																    "B-PP",
																    "I-ADVP",
																    "I-INTJ",
																    "I-LST",
																    "I-PRT",
																    "I-NP",
																    "I-SBAR",
																    "I-VP",
																    "I-ADJP",
																    "I-CONJP",
																    "I-PP",
																]







class    __lowercase     (					_UpperCAmelCase):







						"""simple docstring"""







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__       ):
											if isinstance(lowercase__   ,		lowercase__       ):
																snake_case_					:		List[Any] 					=					mode.value
											snake_case_					:		Optional[int] 					=					os.path.join(lowercase__   ,		f'{mode}.txt'       )
											snake_case_					:		Tuple 					=					1
											snake_case_					:		str 					=					[]

											with open(lowercase__   ,		encoding="""utf-8"""       ) as f:
																for sentence in parse_incr(lowercase__       ):
																					snake_case_					:		Tuple 					=					[]
																					snake_case_					:		Any 					=					[]
																					for token in sentence:
																										words.append(token["""form"""]       )
																										labels.append(token["""upos"""]       )
																					assert len(lowercase__       ) == len(lowercase__       )
																					if words:
																										examples.append(InputExample(guid=f'{mode}-{guid_index}'   ,		words=lowercase__   ,		labels=lowercase__       )       )
																										guid_index += 1
											return examples







						def 						__UpperCamelCase							(self   ,		lowercase__   ,		lowercase__   ,		lowercase__       ):
											snake_case_					:		Dict 					=					0
											for sentence in parse_incr(lowercase__       ):
																snake_case_					:		int 					=					preds_list[example_id]
																snake_case_					:		Dict 					=					""""""
																for token in sentence:
																					out += f'{token["form"]} ({token["upos"]}|{s_p.pop(0       )}) '
																out += "\n"
																writer.write(lowercase__       )
																example_id += 1







						def 						__UpperCamelCase							(self   ,		lowercase__       ):
											if path:
																with open(lowercase__   ,		"""r"""       ) as f:
																					return f.read().splitlines()
											else:
																return [
																    "ADJ",
																    "ADP",
																    "ADV",
																    "AUX",
																    "CCONJ",
																    "DET",
																    "INTJ",
																    "NOUN",
																    "NUM",
																    "PART",
																    "PRON",
																    "PROPN",
																    "PUNCT",
																    "SCONJ",
																    "SYM",
																    "VERB",
																    "X",
																]




