

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

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


_UpperCAmelCase						:  List[Any]									=			logging.getLogger(__name__)







class 					lowercase							(			lowercase_     ):




				def __init__(   self ,  snake_case=-1			):
											# in NER datasets, the last column is usually reserved for NER label
											snake_case_     							=       label_idx




				def        a				(   self ,  snake_case ,  snake_case			):
											if isinstance(snake_case ,  snake_case			):
																		snake_case_     							=       mode.value
											snake_case_     							=       os.path.join(snake_case ,  F'''{mode}.txt'''			)
											snake_case_     							=       1
											snake_case_     							=       []
											with open(snake_case ,  encoding='utf-8'			) as f:
																		snake_case_     							=       []
																		snake_case_     							=       []
																		for line in f:
																									if line.startswith('-DOCSTART-'			) or line == "" or line == "\n":
																																if words:
																																							examples.append(InputExample(guid=F'''{mode}-{guid_index}''' ,  words=snake_case ,  labels=snake_case			)			)
																																							guid_index += 1
																																							snake_case_     							=       []
																																							snake_case_     							=       []
																									else:
																																snake_case_     							=       line.split(' '			)
																																words.append(splits[0]			)
																																if len(snake_case			) > 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=snake_case ,  labels=snake_case			)			)
											return examples




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




				def        a				(   self ,  snake_case			):
											if path:
																		with open(snake_case ,  'r'			) as f:
																									snake_case_     							=       f.read().splitlines()
																		if "O" not in labels:
																									snake_case_     							=       ['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							(			lowercase_     ):




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




				def        a				(   self ,  snake_case			):
											if path:
																		with open(snake_case ,  'r'			) as f:
																									snake_case_     							=       f.read().splitlines()
																		if "O" not in labels:
																									snake_case_     							=       ['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							(			lowercase_     ):




				def        a				(   self ,  snake_case ,  snake_case			):
											if isinstance(snake_case ,  snake_case			):
																		snake_case_     							=       mode.value
											snake_case_     							=       os.path.join(snake_case ,  F'''{mode}.txt'''			)
											snake_case_     							=       1
											snake_case_     							=       []

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




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




				def        a				(   self ,  snake_case			):
											if path:
																		with open(snake_case ,  '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",
																		]







import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import ClassLabel, Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowercase_     )
class 					lowercase							(			lowercase_     ):
				# `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
				__SCREAMING_SNAKE_CASE   :					str			     =     field(default='''text-classification'''      ,    metadata={'''include_in_asdict_even_if_is_default''': True}     )
				__SCREAMING_SNAKE_CASE   :					ClassVar[Features]			     =     Features({'''text''': Value('''string'''     )}     )
				__SCREAMING_SNAKE_CASE   :					ClassVar[Features]			     =     Features({'''labels''': ClassLabel}     )
				__SCREAMING_SNAKE_CASE   :					str			     =     "text"
				__SCREAMING_SNAKE_CASE   :					str			     =     "labels"




				def        a				(   self ,  snake_case			):
											if self.label_column not in features:
																		raise ValueError(F'''Column {self.label_column} is not present in features.'''			)
											if not isinstance(features[self.label_column] ,  snake_case			):
																		raise ValueError(F'''Column {self.label_column} is not a ClassLabel.'''			)
											snake_case_     							=       copy.deepcopy(self			)
											snake_case_     							=       self.label_schema.copy()
											snake_case_     							=       features[self.label_column]
											snake_case_     							=       label_schema
											return task_template




				@property
				def        a				(   self			):
											return {
											    self.text_column: "text",
											    self.label_column: "labels",
											}




