
"""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


lowercase_						    =					"none"
lowercase_						    =					"none"




def 			A_			(					lowercase						, lowercase      )     ->							int:


     """simple docstring"""







     UpperCAmelCase_						:    Any    					=  value.split(lowercase      )
     return len(lowercase      ) > 1 and any((len(lowercase      ) == 3 for x in split)      )




def 			A_			(					lowercase      )     ->							Tuple:


     """simple docstring"""







     if isinstance(lowercase						, lowercase      ):
          return value
     if isinstance(lowercase						, lowercase      ):
          return float(lowercase      )
     if not isinstance(lowercase						, lowercase      ):
          raise ValueError("""Argument value is not a string. Can't parse it as float"""      )
     UpperCAmelCase_						:    Union[str, 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(""","""						, lowercase      ):
               return float(sanitized.replace(""","""						, """"""      )      )
          # 5,5556
          if "," in sanitized and sanitized.count(""","""      ) == 1 and not _split_thousands(""","""						, lowercase      ):
               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(lowercase      )
     except ValueError:
          # Avoid adding the sanitized value in the error message.
          raise ValueError("""Unable to convert value to float"""      )




def 			A_			(					lowercase      )     ->							Union[str, Any]:


     """simple docstring"""







     if answer is None:
          return None
     try:
          UpperCAmelCase_						:    str    					=  convert_to_float(lowercase      )
          if isinstance(lowercase						, lowercase      ) and math.isnan(lowercase      ):
               return None
          return value
     except ValueError:
          return answer.lower()


lowercase_						    =					{
    "text": lambda x: x,
    "real": convert_to_float,
}



class 		UpperCAmelCase_	(enum.Enum						):
 """simple docstring"""




 UpperCamelCase_						:     List[Any]				   =    0
 UpperCamelCase_						:     List[Any]				   =    1
 UpperCamelCase_						:     Optional[Any]				   =    2
 UpperCamelCase_						:     List[Any]				   =    3
 UpperCamelCase_						:     str				   =    4
 UpperCamelCase_						:     Optional[Any]				   =    5



class 		UpperCAmelCase_	(enum.Enum						):
 """simple docstring"""




 UpperCamelCase_						:     Any				   =    0
 UpperCamelCase_						:     str				   =    1
 UpperCamelCase_						:     List[str]				   =    2



@dataclasses.dataclass
class 		UpperCAmelCase_	:
 """simple docstring"""




 UpperCamelCase_						:     Text
 UpperCamelCase_						:     _Operator
 UpperCamelCase_						:     Any

lowercase_						    =					re.compile(r"\w+|[^\w\s]+", re.UNICODE | re.MULTILINE | re.DOTALL)




def 			A_			(					lowercase      )     ->							Dict:


     """simple docstring"""







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




def 			A_			(					lowercase						, lowercase						, lowercase      )     ->							List[Any]:


     """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_			(					lowercase						, lowercase						, lowercase      )     ->							str:


     """simple docstring"""







     UpperCAmelCase_						:    str    					=  table["""types"""]
     return _TYPE_CONVERTER[types[column]](lowercase      )




def 			A_			(					lowercase      )     ->							Any:


     """simple docstring"""







     return isinstance(lowercase						, lowercase      )




def 			A_			(					lowercase						, lowercase						, lowercase      )     ->							Optional[Any]:


     """simple docstring"""







     for cond in conditions:
          UpperCAmelCase_						:    Optional[Any]    					=  row[cond.column]

          UpperCAmelCase_						:    List[Any]    					=  _parse_value(lowercase						, cond.column						, cond.cmp_value      )

          if _is_string(lowercase      ) and _is_string(lowercase      ):
               UpperCAmelCase_						:    Tuple    					=  _normalize_for_match(lowercase      )
               UpperCAmelCase_						:    List[Any]    					=  _normalize_for_match(lowercase      )

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

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




def 			A_			(					lowercase						, lowercase						, lowercase      )     ->							Dict:


     """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(lowercase      )      )

     # If we have just one answer, if float returns it or try a conversion.
     UpperCAmelCase_						:    Dict    					=  [table["""rows"""][i][j] for (i, j) in answer_coordinates]
     if len(lowercase      ) == 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(lowercase						, (int, float)      ) for v in values)      ):
          return None

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




def 			A_			(					lowercase						, lowercase      )     ->							Any:


     """simple docstring"""







     UpperCAmelCase_						:    Optional[int]    					=  sql_query["""agg"""]
     if aggregation_op_index >= 3:
          UpperCAmelCase_						:    Optional[Any]    					=  _Aggregation(lowercase      )
     else:
          UpperCAmelCase_						:    Optional[int]    					=  _Aggregation.NONE

     UpperCAmelCase_						:    int    					=  sql_query["""sel"""]
     UpperCAmelCase_						:    str    					=  [
         _Condition(lowercase						, _Operator(lowercase      )						, lowercase      )
         for column, operator, cmp_value in zip(
             sql_query["""conds"""]["""column_index"""]						, sql_query["""conds"""]["""operator_index"""]						, sql_query["""conds"""]["""condition"""]      )
     ]

     UpperCAmelCase_						:    Union[str, Any]    					=  []
     for row in range(len(table["""rows"""]      )      ):
          if _respect_conditions(lowercase						, table["""rows"""][row]						, lowercase      ):
               indices.append((row, target_column)      )

     if not indices:
          return [], aggregation_op

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

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

          UpperCAmelCase_						:    Tuple    					=  [indices[reduced[1]]]
          return ret, _Aggregation.NONE

     return indices, aggregation_op




def 			A_			(					lowercase						, lowercase						, lowercase      )     ->							Dict:


     """simple docstring"""







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




def 			A_			(					lowercase						, lowercase      )     ->							List:


     """simple docstring"""







     UpperCAmelCase_					,UpperCAmelCase_						:    Tuple    					=  _get_answer_coordinates(lowercase						, lowercase      )
     UpperCAmelCase_						:    int    					=  _get_float_answer(lowercase						, lowercase						, lowercase      )
     UpperCAmelCase_						:    Optional[int]    					=  _get_answer_text(lowercase						, lowercase						, lowercase      )
     # keep the original data the same with TaPas
     if len(lowercase      ) == 0:
          UpperCAmelCase_						:    Any    					=  [EMPTY_ANSWER]
     return answer_text



"""simple docstring"""







import warnings

from .generation import FlaxGenerationMixin



class 		UpperCAmelCase_	(lowerCamelCase_						):
 """simple docstring"""




 warnings.warn(
     """Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will """
     """be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."""  , lowerCamelCase_  , )

