

from collections import OrderedDict
from typing import Mapping

from packaging import version

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


__a    :List[str]      =			logging.get_logger(__name__)

__a    :Tuple      =			{
    'microsoft/table-transformer-detection': (
        'https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json'
    ),
}

class   _a					(			snake_case_				):




      """simple docstring"""

      _lowerCamelCase       :			Dict      		=       'table-transformer'
      _lowerCamelCase       :			Any      		=       ['past_key_values']
      _lowerCamelCase       :			Optional[int]      		=       {
          'hidden_size': 'd_model',
          'num_attention_heads': 'encoder_attention_heads',
      }





      def __init__(   self							:				Dict						,			UpperCAmelCase							:				str=True						,			UpperCAmelCase							:				str=None						,			UpperCAmelCase							:				Optional[int]=3						,			UpperCAmelCase							:				List[str]=100						,			UpperCAmelCase							:				Union[str, Any]=6						,			UpperCAmelCase							:				Optional[int]=2048						,			UpperCAmelCase							:				Any=8						,			UpperCAmelCase							:				Union[str, Any]=6						,			UpperCAmelCase							:				str=2048						,			UpperCAmelCase							:				Dict=8						,			UpperCAmelCase							:				Tuple=0.0						,			UpperCAmelCase							:				Tuple=0.0						,			UpperCAmelCase							:				int=True						,			UpperCAmelCase							:				Any="relu"						,			UpperCAmelCase							:				int=256						,			UpperCAmelCase							:				int=0.1						,			UpperCAmelCase							:				Tuple=0.0						,			UpperCAmelCase							:				str=0.0						,			UpperCAmelCase							:				str=0.02						,			UpperCAmelCase							:				List[str]=1.0						,			UpperCAmelCase							:				Union[str, Any]=False						,			UpperCAmelCase							:				Dict="sine"						,			UpperCAmelCase							:				List[str]="resnet50"						,			UpperCAmelCase							:				str=True						,			UpperCAmelCase							:				Optional[Any]=False						,			UpperCAmelCase							:				Union[str, Any]=1						,			UpperCAmelCase							:				Union[str, Any]=5						,			UpperCAmelCase							:				List[Any]=2						,			UpperCAmelCase							:				Dict=1						,			UpperCAmelCase							:				Tuple=1						,			UpperCAmelCase							:				Tuple=5						,			UpperCAmelCase							:				Optional[Any]=2						,			UpperCAmelCase							:				Optional[int]=0.1						,			**UpperCAmelCase							:				int						,			):
            if backbone_config is not None and use_timm_backbone:
                  raise ValueError("You can't specify both `backbone_config` and `use_timm_backbone`."	)

            if not use_timm_backbone:
                  if backbone_config is None:
                        logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."	)
                        A_						  =				CONFIG_MAPPING["resnet"](out_features=["stage4"]	)
                  elif isinstance(UpperCAmelCase						,			UpperCAmelCase	):
                        A_						  =				backbone_config.get("model_type"	)
                        A_						  =				CONFIG_MAPPING[backbone_model_type]
                        A_						  =				config_class.from_dict(UpperCAmelCase	)
                  # set timm attributes to None
                  A_  ,     A_  ,     A_						  =				None, None, None

            A_						  =				use_timm_backbone
            A_						  =				backbone_config
            A_						  =				num_channels
            A_						  =				num_queries
            A_						  =				d_model
            A_						  =				encoder_ffn_dim
            A_						  =				encoder_layers
            A_						  =				encoder_attention_heads
            A_						  =				decoder_ffn_dim
            A_						  =				decoder_layers
            A_						  =				decoder_attention_heads
            A_						  =				dropout
            A_						  =				attention_dropout
            A_						  =				activation_dropout
            A_						  =				activation_function
            A_						  =				init_std
            A_						  =				init_xavier_std
            A_						  =				encoder_layerdrop
            A_						  =				decoder_layerdrop
            A_						  =				encoder_layers
            A_						  =				auxiliary_loss
            A_						  =				position_embedding_type
            A_						  =				backbone
            A_						  =				use_pretrained_backbone
            A_						  =				dilation
            # Hungarian matcher
            A_						  =				class_cost
            A_						  =				bbox_cost
            A_						  =				giou_cost
            # Loss coefficients
            A_						  =				mask_loss_coefficient
            A_						  =				dice_loss_coefficient
            A_						  =				bbox_loss_coefficient
            A_						  =				giou_loss_coefficient
            A_						  =				eos_coefficient
            super().__init__(is_encoder_decoder=UpperCAmelCase						,			**UpperCAmelCase	)





      @property
      def 		__A	(   self							:				int	):
            return self.encoder_attention_heads







      @property
      def 		__A	(   self							:				int	):
            return self.d_model




class   _a					(			snake_case_				):




      """simple docstring"""

      _lowerCamelCase       :			Union[str, Any]      		=       version.parse('1.11'				)





      @property
      def 		__A	(   self							:				Any	):
            return OrderedDict(
                [
                    ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
                    ("pixel_mask", {0: "batch"}),
                ]	)





      @property
      def 		__A	(   self							:				Any	):
            return 1E-5







      @property
      def 		__A	(   self							:				List[Any]	):
            return 12


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__  (					__magic_name__			):



       '''simple docstring'''







       def __init__(							self ,   lowercase__=-1     ):







             '''simple docstring'''



             __A    =label_idx

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



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

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



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


       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



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



       '''simple docstring'''







       def __init__(							self     ):







             '''simple docstring'''



             super().__init__(label_idx=-2     )


       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



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



       '''simple docstring'''







       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



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

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

       def     __UpperCamelCase     (							self ,   lowercase__ ,   lowercase__ ,   lowercase__     ):







             '''simple docstring'''



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


       def     __UpperCamelCase     (							self ,   lowercase__     ):







             '''simple docstring'''



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


