





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 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	def __init__(self     ,_lowerCamelCase=-1 )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase										=							label_idx


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase )							->							List[InputExample]:







				'''simple docstring'''





				if isinstance(_lowerCamelCase     ,_lowerCamelCase ):
							__lowercase										=							mode.value
				__lowercase										=							os.path.join(_lowerCamelCase     ,f"{mode}.txt" )
				__lowercase										=							1
				__lowercase										=							[]
				with open(_lowerCamelCase     ,encoding='''utf-8''' ) as f:
							__lowercase										=							[]
							__lowercase										=							[]
							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
																__lowercase										=							[]
																__lowercase										=							[]
										else:
													__lowercase										=							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 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase )							->							Optional[Any]:







				'''simple docstring'''





				__lowercase										=							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]:
										__lowercase										=							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 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[str]:







				'''simple docstring'''





				if path:
							with open(_lowerCamelCase     ,'''r''' ) as f:
										__lowercase										=							f.read().splitlines()
							if "O" not in labels:
										__lowercase										=							['''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       (      lowerCAmelCase__						):







	'''simple docstring'''

	def __init__(self )							->							List[Any]:







				'''simple docstring'''





				super().__init__(label_idx=-2 )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[str]:







				'''simple docstring'''





				if path:
							with open(_lowerCamelCase     ,'''r''' ) as f:
										__lowercase										=							f.read().splitlines()
							if "O" not in labels:
										__lowercase										=							['''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       (      lowerCAmelCase__						):







	'''simple docstring'''

	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase )							->							List[InputExample]:







				'''simple docstring'''





				if isinstance(_lowerCamelCase     ,_lowerCamelCase ):
							__lowercase										=							mode.value
				__lowercase										=							os.path.join(_lowerCamelCase     ,f"{mode}.txt" )
				__lowercase										=							1
				__lowercase										=							[]

				with open(_lowerCamelCase     ,encoding='''utf-8''' ) as f:
							for sentence in parse_incr(_lowerCamelCase ):
										__lowercase										=							[]
										__lowercase										=							[]
										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 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase )							->							Any:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[str]:







				'''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'''



import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


_SCREAMING_SNAKE_CASE					=    logging.get_logger(__name__)






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	def __init__(self     ,*_lowerCamelCase     ,**_lowerCamelCase )							->							None:







				'''simple docstring'''





				warnings.warn(
				    '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use GLPNImageProcessor instead.'''     ,_lowerCamelCase     ,)
				super().__init__(*_lowerCamelCase     ,**_lowerCamelCase )





