"""simple docstring"""
import logging
import os
from typing import List, TextIO, Union

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


SCREAMING_SNAKE_CASE__      						=  logging.getLogger(__name__)



class   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""

				def __init__(				self		,    lowerCAmelCase=-1    ):






										"""simple docstring"""

										snake_case								=			label_idx

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase    ):






										"""simple docstring"""

										if isinstance(lowerCAmelCase		,    lowerCAmelCase    ):
																snake_case								=			mode.value
										snake_case								=			os.path.join(lowerCAmelCase		,    F"""{mode}.txt"""    )
										snake_case								=			1
										snake_case								=			[]
										with open(lowerCAmelCase		,    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=lowerCAmelCase		,    labels=lowerCAmelCase    )    )
																																		guid_index += 1
																																		snake_case								=			[]
																																		snake_case								=			[]
																						else:
																												snake_case								=			line.split(' '    )
																												words.append(splits[0]    )
																												if len(lowerCAmelCase    ) > 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=lowerCAmelCase		,    labels=lowerCAmelCase    )    )
										return examples

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase		,    lowerCAmelCase    ):






										"""simple docstring"""

										snake_case								=			0
										for line in test_input_reader:
																if line.startswith('-DOCSTART-'    ) or line == "" or line == "\n":
																						writer.write(lowerCAmelCase    )
																						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(lowerCAmelCase    )
																else:
																						logger.warning('Maximum sequence length exceeded: No prediction for \'%s\'.'		,    line.split()[0]    )

				def 		snake_case (				self		,    lowerCAmelCase    ):






										"""simple docstring"""

										if path:
																with open(lowerCAmelCase		,    '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   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""

				def __init__(				self    ):






										"""simple docstring"""

										super().__init__(label_idx=-2    )

				def 		snake_case (				self		,    lowerCAmelCase    ):






										"""simple docstring"""

										if path:
																with open(lowerCAmelCase		,    '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   lowerCAmelCase_    (			lowerCAmelCase					):



				"""simple docstring"""

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase    ):






										"""simple docstring"""

										if isinstance(lowerCAmelCase		,    lowerCAmelCase    ):
																snake_case								=			mode.value
										snake_case								=			os.path.join(lowerCAmelCase		,    F"""{mode}.txt"""    )
										snake_case								=			1
										snake_case								=			[]

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

				def 		snake_case (				self		,    lowerCAmelCase		,    lowerCAmelCase		,    lowerCAmelCase    ):






										"""simple docstring"""

										snake_case								=			0
										for sentence in parse_incr(lowerCAmelCase    ):
																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(lowerCAmelCase    )
																example_id += 1

				def 		snake_case (				self		,    lowerCAmelCase    ):






										"""simple docstring"""

										if path:
																with open(lowerCAmelCase		,    '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",
																]



"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


SCREAMING_SNAKE_CASE__      						=  {"configuration_sew": ["SEW_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWConfig"]}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE__      						=  [
					    "SEW_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "SEWForCTC",
					    "SEWForSequenceClassification",
					    "SEWModel",
					    "SEWPreTrainedModel",
					]

if TYPE_CHECKING:
					from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_sew import (
										    SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
										    SEWForCTC,
										    SEWForSequenceClassification,
										    SEWModel,
										    SEWPreTrainedModel,
										)


else:
					import sys

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


