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
  
  
  __SCREAMING_SNAKE_CASE					=						"""none"""
  __SCREAMING_SNAKE_CASE					=						"""none"""
  
  
  
  def 						__a      (  a,		a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         _a          =				value.split(a					)
         return len(a					) > 1 and any((len(a					) == 3 for x in split)					)
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
         """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          =				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 						__a      (  a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         if answer is None:
                return None
         try:
                _a          =				convert_to_float(a					)
                if isinstance(a,		a					) and math.isnan(a					):
                       return None
                return value
         except ValueError:
                return answer.lower()
  
  
  __SCREAMING_SNAKE_CASE					=						{
      """text""": lambda x: x,
      """real""": convert_to_float,
  }
  
  
  
  
  
  class __snake_case		(					enum.Enum      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     lowerCAmelCase_				:   int     	=			0
     lowerCAmelCase_				:   int     	=			1
     lowerCAmelCase_				:   Tuple     	=			2
     lowerCAmelCase_				:   str     	=			3
     lowerCAmelCase_				:   Union[str, Any]     	=			4
     lowerCAmelCase_				:   Optional[Any]     	=			5
  
  
  
  
  
  
  class __snake_case		(					enum.Enum      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     lowerCAmelCase_				:   List[Any]     	=			0
     lowerCAmelCase_				:   List[str]     	=			1
     lowerCAmelCase_				:   Tuple     	=			2
  
  
  
  
  
  
  @dataclasses.dataclass
  class __snake_case		:
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     lowerCAmelCase_				:   Text
     lowerCAmelCase_				:   _Operator
     lowerCAmelCase_				:   Any
  
  
  
  
  
  
  __SCREAMING_SNAKE_CASE					=						re.compile(r"""\w+|[^\w\s]+""", re.UNICODE | re.MULTILINE | re.DOTALL)
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         return list(_TOKENIZER.findall(x.lower()					)					)
  
  
  
  def 						__a      (  a,		a,		a					):
  
  
  
  
  
         """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      (  a,		a,		a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         _a          =				table["types"]
         return _TYPE_CONVERTER[types[column]](a					)
  
  
  
  def 						__a      (  a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         return isinstance(a,		a					)
  
  
  
  def 						__a      (  a,		a,		a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         for cond in conditions:
                _a          =				row[cond.column]
  
                _a          =				_parse_value(a,		cond.column,		cond.cmp_value					)
  
                if _is_string(a					) and _is_string(a					):
                       _a          =				_normalize_for_match(a					)
                       _a          =				_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 						__a      (  a,		a,		a					):
  
  
  
  
  
         """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          =				[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 						__a      (  a,		a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         _a          =				sql_query["agg"]
         if aggregation_op_index >= 3:
                _a          =				_Aggregation(a					)
         else:
                _a          =				_Aggregation.NONE
  
         _a          =				sql_query["sel"]
         _a          =				[
             _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          =				[]
         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          =				{2: min, 1: max}
                _a          =				[(table["rows"][i][j], index) for index, (i, j) in enumerate(a					)]
                _a          =				functools.reduce(operators[sql_query["agg"]],		a					)
  
                _a          =				[indices[reduced[1]]]
                return ret, _Aggregation.NONE
  
         return indices, aggregation_op
  
  
  
  def 						__a      (  a,		a,		a					):
  
  
  
  
  
         """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 						__a      (  a,		a					):
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         _a   , _a          =				_get_answer_coordinates(a,		a					)
         _a          =				_get_float_answer(a,		a,		a					)
         _a          =				_get_answer_text(a,		a,		a					)
         # keep the original data the same with TaPas
         if len(a					) == 0:
                _a          =				[EMPTY_ANSWER]
         return answer_text
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import warnings
  
  from ...utils import logging
  from .image_processing_vit import ViTImageProcessor
  
  
  __SCREAMING_SNAKE_CASE					=						logging.get_logger(__name__)
  
  
  
  
  
  class __snake_case		(					_SCREAMING_SNAKE_CASE      ):
  
  
  
  
  
  
  
     """simple docstring"""
  
  
  
  
     def __init__(		self							:Tuple				,  *UpperCamelCase__							:Tuple				,  **UpperCamelCase__							:Any       ):
            warnings.warn(
                "The class ViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
                " use ViTImageProcessor instead."				,  UpperCamelCase__				,  )
            super().__init__(*UpperCamelCase__				,  **UpperCamelCase__       )
  