

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 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):







	def __init__(   self: int  , __UpperCamelCase: str=-1      ):

						'''simple docstring'''





						__magic_name__							=    label_idx







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[int]  , __UpperCamelCase: List[str]  , __UpperCamelCase: Union[Split, str]      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]  , __UpperCamelCase: TextIO  , __UpperCamelCase: TextIO  , __UpperCamelCase: List      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: int  , __UpperCamelCase: str      ):

						'''simple docstring'''





						if path:
											with open(__UpperCamelCase  , 'r'      ) as f:
																__magic_name__							=    f.read().splitlines()
											if "O" not in labels:
																__magic_name__							=    ['O'] + labels
											return labels
						else:
											return ["O", "B-MISC", "I-MISC", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]




class 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):







	def __init__(   self: Tuple      ):

						'''simple docstring'''





						super().__init__(label_idx=-2      )







	def 	_SCREAMING_SNAKE_CASE							(   self: Optional[Any]  , __UpperCamelCase: str      ):

						'''simple docstring'''





						if path:
											with open(__UpperCamelCase  , 'r'      ) as f:
																__magic_name__							=    f.read().splitlines()
											if "O" not in labels:
																__magic_name__							=    ['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 				__UpperCamelCase				(					SCREAMING_SNAKE_CASE			):







	def 	_SCREAMING_SNAKE_CASE							(   self: Any  , __UpperCamelCase: Optional[int]  , __UpperCamelCase: Union[Split, str]      ):

						'''simple docstring'''





						if isinstance(__UpperCamelCase  , __UpperCamelCase      ):
											__magic_name__							=    mode.value
						__magic_name__							=    os.path.join(__UpperCamelCase  , F'{mode}.txt'      )
						__magic_name__							=    1
						__magic_name__							=    []

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







	def 	_SCREAMING_SNAKE_CASE							(   self: List[Any]  , __UpperCamelCase: TextIO  , __UpperCamelCase: TextIO  , __UpperCamelCase: List      ):

						'''simple docstring'''





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







	def 	_SCREAMING_SNAKE_CASE							(   self: int  , __UpperCamelCase: str      ):

						'''simple docstring'''





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







from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


A__						=							{"configuration_van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"]}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						A__						=							[
						    "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "VanForImageClassification",
						    "VanModel",
						    "VanPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_van import (
												    VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    VanForImageClassification,
												    VanModel,
												    VanPreTrainedModel,
												)

else:
						import sys

						A__						=							_LazyModule(__name__, globals()["__file__"], _import_structure)




