





"""simple docstring"""




import dataclasses
import enum
import functools
import math
import re

# The following script is adapted from the script of TaPas.
# Original: https://github.com/google-research/tapas/master/wikisql_utils.py
from typing import Any, List, Text


lowerCamelCase_	:		Optional[int]         =   "none"
lowerCamelCase_	:		Union[str, Any]         =   "none"





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Optional[Any]									=    value.split(__A   )
  return len(__A   ) > 1 and any((len(__A   ) == 3 for x in split)   )





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  if isinstance(__A					,   __A   ):
    return value
  if isinstance(__A					,   __A   ):
    return float(__A   )
  if not isinstance(__A					,   __A   ):
    raise ValueError('Argument value is not a string. Can\'t parse it as float'   )
  A_    :			Any									=    value

  try:
    # Example: 1,000.7
    if "." in sanitized and "," in sanitized:
      return float(sanitized.replace(','					,   ''   )   )
    # 1,000
    if "," in sanitized and _split_thousands(','					,   __A   ):
      return float(sanitized.replace(','					,   ''   )   )
    # 5,5556
    if "," in sanitized and sanitized.count(','   ) == 1 and not _split_thousands(','					,   __A   ):
      return float(sanitized.replace(','					,   '.'   )   )
    # 0.0.0.1
    if sanitized.count('.'   ) > 1:
      return float(sanitized.replace('.'					,   ''   )   )
    # 0,0,0,1
    if sanitized.count(','   ) > 1:
      return float(sanitized.replace(','					,   ''   )   )
    return float(__A   )
  except ValueError:
    # Avoid adding the sanitized value in the error message.
    raise ValueError('Unable to convert value to float'   )





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  if answer is None:
    return None
  try:
    A_    :			Optional[int]									=    convert_to_float(__A   )
    if isinstance(__A					,   __A   ) and math.isnan(__A   ):
      return None
    return value
  except ValueError:
    return answer.lower()


lowerCamelCase_	:		int         =   {
    "text": lambda x: x,
    "real": convert_to_float,
}

class 					_UpperCAmelCase    (  enum.Enum						):



      '''simple docstring'''
      lowercase_ :					str             =  0
      lowercase_ :					Optional[int]             =  1
      lowercase_ :					Any             =  2
      lowercase_ :					Union[str, Any]             =  3
      lowercase_ :					int             =  4
      lowercase_ :					Optional[Any]             =  5


class 					_UpperCAmelCase    (  enum.Enum						):



      '''simple docstring'''
      lowercase_ :					int             =  0
      lowercase_ :					Any             =  1
      lowercase_ :					Tuple             =  2


@dataclasses.dataclass
class 					_UpperCAmelCase    :



      '''simple docstring'''
      lowercase_ :					Union[str, Any]             =  42
      lowercase_ :					Dict             =  42
      lowercase_ :					int             =  42


lowerCamelCase_	:		Dict         =   re.compile(r'\w+|[^\w\s]+', re.UNICODE | re.MULTILINE | re.DOTALL)





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  return list(_TOKENIZER.findall(x.lower()   )   )





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  if operator == _Operator.EQUALS:
    return src == tgt
  elif operator == _Operator.GREATER:
    return src > tgt
  elif operator == _Operator.LESSER:
    return src < tgt
  raise ValueError(f"""Unknown operator: {operator}"""   )





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Union[str, Any]									=    table["""types"""]
  return _TYPE_CONVERTER[types[column]](__A   )





def 		UpperCAmelCase__						(	_UpperCAmelCase   ):






  """simple docstring"""





  return isinstance(__A					,   __A   )





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  for cond in conditions:
    A_    :			Union[str, Any]									=    row[cond.column]

    A_    :			Dict									=    _parse_value(__A					,   cond.column					,   cond.cmp_value   )

    if _is_string(__A   ) and _is_string(__A   ):
      A_    :			int									=    _normalize_for_match(__A   )
      A_    :			int									=    _normalize_for_match(__A   )

    if not isinstance(__A					,   type(__A   )   ):
      raise ValueError('Type difference {} != {}'.format(type(__A   )					,   type(__A   )   )   )

    if not _compare(cond.operator					,   __A					,   __A   ):
      return False
  return True





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  if not answer_coordinates:
    if aggregation_op == _Aggregation.COUNT:
      return 0.0
    else:
      return EMPTY_ANSWER_AGG

    # Count can support non numeric answers.
  if aggregation_op == _Aggregation.COUNT:
    return float(len(__A   )   )

  # If we have just one answer, if float returns it or try a conversion.
  A_    :			Optional[int]									=    [table["""rows"""][i][j] for (i, j) in answer_coordinates]
  if len(__A   ) == 1:
    try:
      return convert_to_float(values[0]   )
    except ValueError as e:
      if aggregation_op != _Aggregation.NONE:
        raise e

  if aggregation_op == _Aggregation.NONE:
    return None

  # Other aggregation only support numeric values. Bail out if we have strings.
  if not all((isinstance(__A					,   (int, float)   ) for v in values)   ):
    return None

  if aggregation_op == _Aggregation.SUM:
    return float(sum(__A   )   )
  elif aggregation_op == _Aggregation.AVERAGE:
    return sum(__A   ) / len(__A   )
  else:
    raise ValueError(f"""Unknown aggregation: {aggregation_op}"""   )





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  A_    :			int									=    sql_query["""agg"""]
  if aggregation_op_index >= 3:
    A_    :			Tuple									=    _Aggregation(__A   )
  else:
    A_    :			Union[str, Any]									=    _Aggregation.NONE

  A_    :			str									=    sql_query["""sel"""]
  A_    :			str									=    [
      _Condition(__A					,   _Operator(__A   )					,   __A   )
      for column, operator, cmp_value in zip(
          sql_query['conds']['column_index']					,   sql_query['conds']['operator_index']					,   sql_query['conds']['condition']   )
  ]

  A_    :			Union[str, Any]									=    []
  for row in range(len(table['rows']   )   ):
    if _respect_conditions(__A					,   table['rows'][row]					,   __A   ):
      indices.append((row, target_column)   )

  if not indices:
    return [], aggregation_op

  if len(__A   ) == 1:
    return indices, aggregation_op

  # Parsing of MIN/MAX.
  if aggregation_op_index in (1, 2):
    A_    :			str									=    {2: min, 1: max}
    A_    :			List[str]									=    [(table["""rows"""][i][j], index) for index, (i, j) in enumerate(__A   )]
    A_    :			Any									=    functools.reduce(operators[sql_query['agg']]					,   __A   )

    A_    :			Optional[Any]									=    [indices[reduced[1]]]
    return ret, _Aggregation.NONE

  return indices, aggregation_op





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  if float_answer is not None:
    return [str(__A   )]
  return [str(table['real_rows'][r][c]   ) for r, c in answer_coordinates]





def 		UpperCAmelCase__						(	_UpperCAmelCase					,   _UpperCAmelCase   ):






  """simple docstring"""





  A_    :			Any									=    _get_answer_coordinates(__A					,   __A   )
  A_    :			Optional[int]									=    _get_float_answer(__A					,   __A					,   __A   )
  A_    :			List[str]									=    _get_answer_text(__A					,   __A					,   __A   )
  # keep the original data the same with TaPas
  if len(__A   ) == 0:
    A_    :			Union[str, Any]									=    [EMPTY_ANSWER]
  return answer_text
import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


lowerCAmelCase      :				List[Any]     			=logging.get_logger(__name__)

lowerCAmelCase      :				Optional[int]     			={
    "google/vit-hybrid-base-bit-384": "https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json",
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}




class 						__snake_case						(			__lowerCAmelCase		):





      '''simple docstring'''






      _snake_case     		=							'vit-hybrid'



      def __init__(       self  :					str     ,	_UpperCamelCase  :					int=None     ,	_UpperCamelCase  :					Union[str, Any]=768     ,	_UpperCamelCase  :					List[Any]=12     ,	_UpperCamelCase  :					List[Any]=12     ,	_UpperCamelCase  :					Optional[int]=3072     ,	_UpperCamelCase  :					Optional[int]="gelu"     ,	_UpperCamelCase  :					int=0.0     ,	_UpperCamelCase  :					Tuple=0.0     ,	_UpperCamelCase  :					Dict=0.0_2     ,	_UpperCamelCase  :					Dict=1E-1_2     ,	_UpperCamelCase  :					Union[str, Any]=224     ,	_UpperCamelCase  :					str=1     ,	_UpperCamelCase  :					Optional[int]=3     ,	_UpperCamelCase  :					Dict=[1, 1024, 24, 24]     ,	_UpperCamelCase  :					Optional[Any]=True     ,	**_UpperCamelCase  :					List[Any]     ,	)					->str:


          """simple docstring"""


          super().__init__(**_UpperCamelCase)

          if backbone_config is None:
              logger.info("""`backbone_config` is `None`. Initializing the config with a `BiT` backbone.""")
              _lowerCamelCase  :		Tuple			    =    {
                  """global_padding""": """same""",
                  """layer_type""": """bottleneck""",
                  """depths""": [3, 4, 9],
                  """out_features""": ["""stage3"""],
                  """embedding_dynamic_padding""": True,
              }

          if isinstance(_UpperCamelCase     ,	_UpperCamelCase):
              if "model_type" in backbone_config:
                  _lowerCamelCase  :		int			    =    CONFIG_MAPPING[backbone_config["""model_type"""]]
              else:
                  logger.info(
                      """`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.""")
                  _lowerCamelCase  :		Optional[int]			    =    BitConfig
              _lowerCamelCase  :		List[Any]			    =    backbone_config_class(**_UpperCamelCase)

          _lowerCamelCase  :		Any			    =    backbone_featmap_shape
          _lowerCamelCase  :		Dict			    =    backbone_config
          _lowerCamelCase  :		Tuple			    =    hidden_size
          _lowerCamelCase  :		Union[str, Any]			    =    num_hidden_layers
          _lowerCamelCase  :		Optional[Any]			    =    num_attention_heads
          _lowerCamelCase  :		Optional[Any]			    =    intermediate_size
          _lowerCamelCase  :		List[Any]			    =    hidden_act
          _lowerCamelCase  :		Dict			    =    hidden_dropout_prob
          _lowerCamelCase  :		Optional[Any]			    =    attention_probs_dropout_prob
          _lowerCamelCase  :		Union[str, Any]			    =    initializer_range
          _lowerCamelCase  :		Any			    =    layer_norm_eps
          _lowerCamelCase  :		Optional[int]			    =    image_size
          _lowerCamelCase  :		Any			    =    patch_size
          _lowerCamelCase  :		Optional[Any]			    =    num_channels
          _lowerCamelCase  :		List[str]			    =    qkv_bias




      def 						_SCREAMING_SNAKE_CASE     (       self  :					Optional[Any])					->Dict[str, any]:


          """simple docstring"""


          _lowerCamelCase  :		Dict			    =    copy.deepcopy(self.__dict__)
          _lowerCamelCase  :		List[Any]			    =    self.backbone_config.to_dict()
          _lowerCamelCase  :		List[str]			    =    self.__class__.model_type
          return output




