code: 
  
  
  
  
  
  
  """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
  
  
  snake_case   :   str    		=		"""none"""
  snake_case   :   Any    		=		"""none"""
  
  
  def        A	(							__snake_case:   List[str]   ,    __snake_case:   Dict     )						->		Dict:
  
         """simple docstring"""
  
  
  
  
  
         __magic_name__										=						value.split(__snake_case     )
         return len(__snake_case     ) > 1 and any((len(__snake_case     ) == 3 for x in split)     )
  
  
  def        A	(							__snake_case:   Dict     )						->		Optional[Any]:
  
         """simple docstring"""
  
  
  
  
  
         if isinstance(__snake_case   ,    __snake_case     ):
                return value
         if isinstance(__snake_case   ,    __snake_case     ):
                return float(__snake_case     )
         if not isinstance(__snake_case   ,    __snake_case     ):
                raise ValueError('Argument value is not a string. Can\'t parse it as float'     )
         __magic_name__										=						value
  
         try:
                # Example: 1,000.7
                if "." in sanitized and "," in sanitized:
                       return float(sanitized.replace(','   ,    ''     )     )
                # 1,000
                if "," in sanitized and _split_thousands(','   ,    __snake_case     ):
                       return float(sanitized.replace(','   ,    ''     )     )
                # 5,5556
                if "," in sanitized and sanitized.count(','     ) == 1 and not _split_thousands(','   ,    __snake_case     ):
                       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(__snake_case     )
         except ValueError:
                # Avoid adding the sanitized value in the error message.
                raise ValueError('Unable to convert value to float'     )
  
  
  def        A	(							__snake_case:   Any     )						->		str:
  
         """simple docstring"""
  
  
  
  
  
         if answer is None:
                return None
         try:
                __magic_name__										=						convert_to_float(__snake_case     )
                if isinstance(__snake_case   ,    __snake_case     ) and math.isnan(__snake_case     ):
                       return None
                return value
         except ValueError:
                return answer.lower()
  
  
  snake_case   :   int    		=		{
      """text""": lambda x: x,
      """real""": convert_to_float,
  }
  
  
  
  class 					UpperCamelCase__   (							enum.Enum):
  
  
  
  
  
  
  
      """simple docstring"""
      __UpperCAmelCase											=   0
      __UpperCAmelCase											=   1
      __UpperCAmelCase											=   2
      __UpperCAmelCase											=   3
      __UpperCAmelCase											=   4
      __UpperCAmelCase											=   5
  
  
  
  class 					UpperCamelCase__   (							enum.Enum):
  
  
  
  
  
  
  
      """simple docstring"""
      __UpperCAmelCase											=   0
      __UpperCAmelCase											=   1
      __UpperCAmelCase											=   2
  
  
  
  @dataclasses.dataclass
  class 					UpperCamelCase__   :
  
  
  
  
  
  
  
      """simple docstring"""
      __UpperCAmelCase											=   42
      __UpperCAmelCase											=   42
      __UpperCAmelCase											=   42
  snake_case   :   Optional[int]    		=		re.compile(r"""\w+|[^\w\s]+""", re.UNICODE | re.MULTILINE | re.DOTALL)
  
  
  def        A	(							__snake_case:   Any     )						->		List[str]:
  
         """simple docstring"""
  
  
  
  
  
         return list(_TOKENIZER.findall(x.lower()     )     )
  
  
  def        A	(							__snake_case:   int   ,    __snake_case:   Optional[int]   ,    __snake_case:   Dict     )						->		Dict:
  
         """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        A	(							__snake_case:   List[str]   ,    __snake_case:   Optional[int]   ,    __snake_case:   Tuple     )						->		Optional[Any]:
  
         """simple docstring"""
  
  
  
  
  
         __magic_name__										=						table['types']
         return _TYPE_CONVERTER[types[column]](__snake_case     )
  
  
  def        A	(							__snake_case:   List[str]     )						->		Dict:
  
         """simple docstring"""
  
  
  
  
  
         return isinstance(__snake_case   ,    __snake_case     )
  
  
  def        A	(							__snake_case:   List[Any]   ,    __snake_case:   Tuple   ,    __snake_case:   List[Any]     )						->		Optional[int]:
  
         """simple docstring"""
  
  
  
  
  
         for cond in conditions:
                __magic_name__										=						row[cond.column]
  
                __magic_name__										=						_parse_value(__snake_case   ,    cond.column   ,    cond.cmp_value     )
  
                if _is_string(__snake_case     ) and _is_string(__snake_case     ):
                       __magic_name__										=						_normalize_for_match(__snake_case     )
                       __magic_name__										=						_normalize_for_match(__snake_case     )
  
                if not isinstance(__snake_case   ,    type(__snake_case     )     ):
                       raise ValueError('Type difference {} != {}'.format(type(__snake_case     )   ,    type(__snake_case     )     )     )
  
                if not _compare(cond.operator   ,    __snake_case   ,    __snake_case     ):
                       return False
         return True
  
  
  def        A	(							__snake_case:   str   ,    __snake_case:   Optional[int]   ,    __snake_case:   Optional[Any]     )						->		Optional[Any]:
  
         """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(__snake_case     )     )
  
         # If we have just one answer, if float returns it or try a conversion.
         __magic_name__										=						[table['rows'][i][j] for (i, j) in answer_coordinates]
         if len(__snake_case     ) == 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(__snake_case   ,    (int, float)     ) for v in values)     ):
                return None
  
         if aggregation_op == _Aggregation.SUM:
                return float(sum(__snake_case     )     )
         elif aggregation_op == _Aggregation.AVERAGE:
                return sum(__snake_case     ) / len(__snake_case     )
         else:
                raise ValueError(F"""Unknown aggregation: {aggregation_op}"""     )
  
  
  def        A	(							__snake_case:   Dict   ,    __snake_case:   str     )						->		List[Any]:
  
         """simple docstring"""
  
  
  
  
  
         __magic_name__										=						sql_query['agg']
         if aggregation_op_index >= 3:
                __magic_name__										=						_Aggregation(__snake_case     )
         else:
                __magic_name__										=						_Aggregation.NONE
  
         __magic_name__										=						sql_query['sel']
         __magic_name__										=						[
             _Condition(__snake_case   ,    _Operator(__snake_case     )   ,    __snake_case     )
             for column, operator, cmp_value in zip(
                 sql_query['conds']['column_index']   ,    sql_query['conds']['operator_index']   ,    sql_query['conds']['condition']     )
         ]
  
         __magic_name__										=						[]
         for row in range(len(table['rows']     )     ):
                if _respect_conditions(__snake_case   ,    table['rows'][row]   ,    __snake_case     ):
                       indices.append((row, target_column)     )
  
         if not indices:
                return [], aggregation_op
  
         if len(__snake_case     ) == 1:
                return indices, aggregation_op
  
         # Parsing of MIN/MAX.
         if aggregation_op_index in (1, 2):
                __magic_name__										=						{2: min, 1: max}
                __magic_name__										=						[(table['rows'][i][j], index) for index, (i, j) in enumerate(__snake_case     )]
                __magic_name__										=						functools.reduce(operators[sql_query['agg']]   ,    __snake_case     )
  
                __magic_name__										=						[indices[reduced[1]]]
                return ret, _Aggregation.NONE
  
         return indices, aggregation_op
  
  
  def        A	(							__snake_case:   Optional[Any]   ,    __snake_case:   int   ,    __snake_case:   str     )						->		Any:
  
         """simple docstring"""
  
  
  
  
  
         if float_answer is not None:
                return [str(__snake_case     )]
         return [str(table['real_rows'][r][c]     ) for r, c in answer_coordinates]
  
  
  
  
  
  
  def        A	(							__snake_case:   Any   ,    __snake_case:   Optional[Any]     )						->		List:
  
         """simple docstring"""
  
  
  
  
  
         __magic_name__							,     __magic_name__										=						_get_answer_coordinates(__snake_case   ,    __snake_case     )
         __magic_name__										=						_get_float_answer(__snake_case   ,    __snake_case   ,    __snake_case     )
         __magic_name__										=						_get_answer_text(__snake_case   ,    __snake_case   ,    __snake_case     )
         # keep the original data the same with TaPas
         if len(__snake_case     ) == 0:
                __magic_name__										=						[EMPTY_ANSWER]
         return answer_text
style_context: 
  
  
  
  
  
  
  """simple docstring"""
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  snake_case   :   str    		=		{"""configuration_sew_d""": ["""SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWDConfig"""]}
  
  try:
   if not is_torch_available():
    raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
   pass
  else:
   snake_case   :   Union[str, Any]    		=		[
       """SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """SEWDForCTC""",
       """SEWDForSequenceClassification""",
       """SEWDModel""",
       """SEWDPreTrainedModel""",
   ]
  
  if TYPE_CHECKING:
   from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
  
   try:
    if not is_torch_available():
     raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
    pass
   else:
    from .modeling_sew_d import (
        SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWDForCTC,
        SEWDForSequenceClassification,
        SEWDModel,
        SEWDPreTrainedModel,
    )
  
  
  else:
   import sys
  
   snake_case   :   Union[str, Any]    		=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)