




"""simple docstring"""






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

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


lowercase__     						=						logging.getLogger(__name__)






class lowerCAmelCase__	(     SCREAMING_SNAKE_CASE__						):






			'''simple docstring'''



			def __init__(  self  ,      lowercase=-1  ):
							_lowerCamelCase     :			str    =    label_idx
			def 					A_    (  self  ,      lowercase  ,      lowercase  ):




							if isinstance(__lowerCamelCase  ,      __lowerCamelCase  ):
											_lowerCamelCase     :			Dict    =    mode.value
							_lowerCamelCase     :			Union[str, Any]    =    os.path.join(__lowerCamelCase  ,      F'''{mode}.txt'''  )
							_lowerCamelCase     :			Optional[int]    =    1
							_lowerCamelCase     :			List[str]    =    []
							with open(__lowerCamelCase  ,      encoding='utf-8'  ) as f:
											_lowerCamelCase     :			List[str]    =    []
											_lowerCamelCase     :			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=__lowerCamelCase  ,      labels=__lowerCamelCase  )  )
																							guid_index += 1
																							_lowerCamelCase     :			int    =    []
																							_lowerCamelCase     :			List[Any]    =    []
															else:
																			_lowerCamelCase     :			Dict    =    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 					A_    (  self  ,      lowercase  ,      lowercase  ,      lowercase  ):
							_lowerCamelCase     :			str    =    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]:
															_lowerCamelCase     :			int    =    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 					A_    (  self  ,      lowercase  ):




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






			'''simple docstring'''



			def __init__(  self  ):
							super().__init__(label_idx=-2  )






			def 					A_    (  self  ,      lowercase  ):




							if path:
											with open(__lowerCamelCase  ,      'r'  ) as f:
															_lowerCamelCase     :			str    =    f.read().splitlines()
											if "O" not in labels:
															_lowerCamelCase     :			int    =    ['''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__	(     SCREAMING_SNAKE_CASE__						):






			'''simple docstring'''



			def 					A_    (  self  ,      lowercase  ,      lowercase  ):




							if isinstance(__lowerCamelCase  ,      __lowerCamelCase  ):
											_lowerCamelCase     :			int    =    mode.value
							_lowerCamelCase     :			int    =    os.path.join(__lowerCamelCase  ,      F'''{mode}.txt'''  )
							_lowerCamelCase     :			Dict    =    1
							_lowerCamelCase     :			int    =    []

							with open(__lowerCamelCase  ,      encoding='utf-8'  ) as f:
											for sentence in parse_incr(__lowerCamelCase  ):
															_lowerCamelCase     :			List[str]    =    []
															_lowerCamelCase     :			Optional[Any]    =    []
															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 					A_    (  self  ,      lowercase  ,      lowercase  ,      lowercase  ):
							_lowerCamelCase     :			List[str]    =    0
							for sentence in parse_incr(__lowerCamelCase  ):
											_lowerCamelCase     :			Tuple    =    preds_list[example_id]
											_lowerCamelCase     :			Any    =    ''''''
											for token in sentence:
															out += F'''{token['form']} ({token['upos']}|{s_p.pop(0  )}) '''
											out += "\n"
											writer.write(__lowerCamelCase  )
											example_id += 1






			def 					A_    (  self  ,      lowercase  ):




							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 collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a_ =			logging.get_logger(__name__)

a_ =			{
    """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/config.json""",
    """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/config.json""",
    """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/config.json""",
    """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/config.json""",
    """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/config.json""",
    """roberta-large-openai-detector""": """https://huggingface.co/roberta-large-openai-detector/resolve/main/config.json""",
}






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 _lowerCamelCase        =     """roberta"""

 def __init__(    self					,						__lowerCamelCase=5_0265					,						__lowerCamelCase=768					,						__lowerCamelCase=12					,						__lowerCamelCase=12					,						__lowerCamelCase=3072					,						__lowerCamelCase="gelu"					,						__lowerCamelCase=0.1					,						__lowerCamelCase=0.1					,						__lowerCamelCase=512					,						__lowerCamelCase=2					,						__lowerCamelCase=0.0_2					,						__lowerCamelCase=1e-1_2					,						__lowerCamelCase=1					,						__lowerCamelCase=0					,						__lowerCamelCase=2					,						__lowerCamelCase="absolute"					,						__lowerCamelCase=True					,						__lowerCamelCase=None					,						**__lowerCamelCase					,						):



     '''simple docstring'''




     super().__init__(pad_token_id=__lowerCamelCase					,						bos_token_id=__lowerCamelCase					,						eos_token_id=__lowerCamelCase					,						**__lowerCamelCase  )

     __A    :						str						 =     vocab_size
     __A    :						Any						 =     hidden_size
     __A    :						Any						 =     num_hidden_layers
     __A    :						int						 =     num_attention_heads
     __A    :						List[Any]						 =     hidden_act
     __A    :						Any						 =     intermediate_size
     __A    :						List[str]						 =     hidden_dropout_prob
     __A    :						List[Any]						 =     attention_probs_dropout_prob
     __A    :						Optional[Any]						 =     max_position_embeddings
     __A    :						str						 =     type_vocab_size
     __A    :						int						 =     initializer_range
     __A    :						Tuple						 =     layer_norm_eps
     __A    :						str						 =     position_embedding_type
     __A    :						int						 =     use_cache
     __A    :						Optional[int]						 =     classifier_dropout






class 		__snake_case					(		SCREAMING_SNAKE_CASE__     ):





 """simple docstring"""


 @property
 def 					UpperCamelCase__(    self  ):



     '''simple docstring'''




     if self.task == "multiple-choice":
         __A    :						List[Any]						 =     {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
     else:
         __A    :						Optional[Any]						 =     {0: '''batch''', 1: '''sequence'''}
     return OrderedDict(
         [
             ('''input_ids''', dynamic_axis),
             ('''attention_mask''', dynamic_axis),
         ]  )




