


'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase							:   int  						=	logging.get_logger(__name__)

lowerCamelCase							:   List[Any]  						=	{
    'google/realm-cc-news-pretrained-embedder': (
        'https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-encoder': (
        'https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-scorer': (
        'https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-openqa': (
        'https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'
    ),
    'google/realm-orqa-nq-openqa': 'https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json',
    'google/realm-orqa-nq-reader': 'https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json',
    'google/realm-orqa-wq-openqa': 'https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json',
    'google/realm-orqa-wq-reader': 'https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json',
    # See all REALM models at https://huggingface.co/models?filter=realm
}
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      lowerCAmelCase__					:     Optional[int]  					=							"""realm"""



      def __init__(self    :    str   ,						UpperCamelCase    :    List[Any]=30522   ,						UpperCamelCase    :    List[Any]=768   ,						UpperCamelCase    :    int=128   ,						UpperCamelCase    :    Any=12   ,						UpperCamelCase    :    Tuple=12   ,						UpperCamelCase    :    List[Any]=8   ,						UpperCamelCase    :    Union[str, Any]=3072   ,						UpperCamelCase    :    List[str]="gelu_new"   ,						UpperCamelCase    :    Any=0.1   ,						UpperCamelCase    :    List[str]=0.1   ,						UpperCamelCase    :    Dict=512   ,						UpperCamelCase    :    Dict=2   ,						UpperCamelCase    :    List[Any]=0.02   ,						UpperCamelCase    :    List[Any]=1E-12   ,						UpperCamelCase    :    Dict=256   ,						UpperCamelCase    :    Union[str, Any]=10   ,						UpperCamelCase    :    Optional[int]=1E-3   ,						UpperCamelCase    :    Tuple=5   ,						UpperCamelCase    :    Optional[int]=320   ,						UpperCamelCase    :    List[str]=13353718   ,						UpperCamelCase    :    Optional[Any]=5000   ,						UpperCamelCase    :    str=1   ,						UpperCamelCase    :    Union[str, Any]=0   ,						UpperCamelCase    :    List[Any]=2   ,						**UpperCamelCase    :    int   ,						):

             '''simple docstring'''







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

             # Common config
             lowercase__      			= vocab_size
             lowercase__      			= max_position_embeddings
             lowercase__      			= hidden_size
             lowercase__      			= retriever_proj_size
             lowercase__      			= num_hidden_layers
             lowercase__      			= num_attention_heads
             lowercase__      			= num_candidates
             lowercase__      			= intermediate_size
             lowercase__      			= hidden_act
             lowercase__      			= hidden_dropout_prob
             lowercase__      			= attention_probs_dropout_prob
             lowercase__      			= initializer_range
             lowercase__      			= type_vocab_size
             lowercase__      			= layer_norm_eps

             # Reader config
             lowercase__      			= span_hidden_size
             lowercase__      			= max_span_width
             lowercase__      			= reader_layer_norm_eps
             lowercase__      			= reader_beam_size
             lowercase__      			= reader_seq_len

             # Retrieval config
             lowercase__      			= num_block_records
             lowercase__      			= searcher_beam_size








'''simple docstring'''

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

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


lowerCamelCase							:   List[Any]  						=	logging.getLogger(__name__)
class   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      def __init__(self    :    Optional[Any]   ,						UpperCamelCase    :    Any=-1 ):

             '''simple docstring'''







             lowercase__      			= label_idx



      def       UpperCamelCase__		(self    :    Union[str, Any]   ,						UpperCamelCase    :    Optional[Any]   ,						UpperCamelCase    :    Union[Split, str] ):

             '''simple docstring'''







             if isinstance(UpperCamelCase   ,						UpperCamelCase ):
                    lowercase__      			= mode.value
             lowercase__      			= os.path.join(UpperCamelCase   ,						f"{mode}.txt" )
             lowercase__      			= 1
             lowercase__      			= []
             with open(UpperCamelCase   ,						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=UpperCamelCase   ,						labels=UpperCamelCase ) )
                                         guid_index += 1
                                         lowercase__      			= []
                                         lowercase__      			= []
                           else:
                                  lowercase__      			= 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       UpperCamelCase__		(self    :    Optional[int]   ,						UpperCamelCase    :    TextIO   ,						UpperCamelCase    :    TextIO   ,						UpperCamelCase    :    List ):

             '''simple docstring'''







             lowercase__      			= 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]:
                           lowercase__      			= 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       UpperCamelCase__		(self    :    Union[str, Any]   ,						UpperCamelCase    :    str ):

             '''simple docstring'''







             if path:
                    with open(UpperCamelCase   ,						'''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   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      def __init__(self    :    List[Any] ):

             '''simple docstring'''







             super().__init__(label_idx=-2 )






      def       UpperCamelCase__		(self    :    List[Any]   ,						UpperCamelCase    :    str ):

             '''simple docstring'''







             if path:
                    with open(UpperCamelCase   ,						'''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   __lowerCAmelCase						(lowercase_     ):





      '''simple docstring'''






      def       UpperCamelCase__		(self    :    Tuple   ,						UpperCamelCase    :    int   ,						UpperCamelCase    :    Union[Split, str] ):

             '''simple docstring'''







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

             with open(UpperCamelCase   ,						encoding='''utf-8''' ) as f:
                    for sentence in parse_incr(UpperCamelCase ):
                           lowercase__      			= []
                           lowercase__      			= []
                           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       UpperCamelCase__		(self    :    Tuple   ,						UpperCamelCase    :    TextIO   ,						UpperCamelCase    :    TextIO   ,						UpperCamelCase    :    List ):

             '''simple docstring'''







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






      def       UpperCamelCase__		(self    :    Union[str, Any]   ,						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",
                    ]




