






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


a 			=							'none'
a 			=							'none'
def    a__    (	A		,					A       ):
   lowercase__    :						Tuple       =			value.split(_UpperCAmelCase       )
   return len(_UpperCAmelCase       ) > 1 and any((len(_UpperCAmelCase       ) == 3 for x in split)       )
def    a__    (	A       ):






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






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


a 			=							{
    'text': lambda x: x,
    'real': convert_to_float,
}
class 							__snake_case(       enum.Enum   ):
 lowercase			:							Union[str, Any]		   =		0
 lowercase			:							Dict		   =		1
 lowercase			:							Optional[Any]		   =		2
 lowercase			:							int		   =		3
 lowercase			:							List[Any]		   =		4
 lowercase			:							Optional[int]		   =		5
class 							__snake_case(       enum.Enum   ):
 lowercase			:							Dict		   =		0
 lowercase			:							Union[str, Any]		   =		1
 lowercase			:							int		   =		2
@dataclasses.dataclass
class 							__snake_case:
 lowercase			:							Text
 lowercase			:							_Operator
 lowercase			:							Any
a 			=							re.compile(r'\w+|[^\w\s]+', re.UNICODE | re.MULTILINE | re.DOTALL)
def    a__    (	A       ):
   return list(_TOKENIZER.findall(x.lower()       )       )
def    a__    (	A		,					A		,					A       ):






   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       ):
   lowercase__    :						Any       =			table["""types"""]
   return _TYPE_CONVERTER[types[column]](_UpperCAmelCase       )
def    a__    (	A       ):
   return isinstance(_UpperCAmelCase		,					_UpperCAmelCase       )
def    a__    (	A		,					A		,					A       ):






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

      lowercase__    :						List[str]       =			_parse_value(_UpperCAmelCase		,					cond.column		,					cond.cmp_value       )

      if _is_string(_UpperCAmelCase       ) and _is_string(_UpperCAmelCase       ):
         lowercase__    :						str       =			_normalize_for_match(_UpperCAmelCase       )
         lowercase__    :						Union[str, Any]       =			_normalize_for_match(_UpperCAmelCase       )

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

      if not _compare(cond.operator		,					_UpperCAmelCase		,					_UpperCAmelCase       ):
         return False
   return True
def    a__    (	A		,					A		,					A       ):






   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(_UpperCAmelCase       )       )

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

   if aggregation_op == _Aggregation.SUM:
      return float(sum(_UpperCAmelCase       )       )
   elif aggregation_op == _Aggregation.AVERAGE:
      return sum(_UpperCAmelCase       ) / len(_UpperCAmelCase       )
   else:
      raise ValueError(F'''Unknown aggregation: {aggregation_op}'''       )
def    a__    (	A		,					A       ):
   lowercase__    :						Optional[int]       =			sql_query["""agg"""]
   if aggregation_op_index >= 3:
      lowercase__    :						Any       =			_Aggregation(_UpperCAmelCase       )
   else:
      lowercase__    :						List[str]       =			_Aggregation.NONE

   lowercase__    :						Dict       =			sql_query["""sel"""]
   lowercase__    :						Optional[Any]       =			[
       _Condition(_UpperCAmelCase		,					_Operator(_UpperCAmelCase       )		,					_UpperCAmelCase       )
       for column, operator, cmp_value in zip(
           sql_query["""conds"""]["""column_index"""]		,					sql_query["""conds"""]["""operator_index"""]		,					sql_query["""conds"""]["""condition"""]       )
   ]

   lowercase__    :						Tuple       =			[]
   for row in range(len(table["""rows"""]       )       ):
      if _respect_conditions(_UpperCAmelCase		,					table["""rows"""][row]		,					_UpperCAmelCase       ):
         indices.append((row, target_column)       )

   if not indices:
      return [], aggregation_op

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

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

      lowercase__    :						Union[str, Any]       =			[indices[reduced[1]]]
      return ret, _Aggregation.NONE

   return indices, aggregation_op
def    a__    (	A		,					A		,					A       ):






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






def    a__    (	A		,					A       ):
   lowercase__  ,       lowercase__    :						Dict       =			_get_answer_coordinates(_UpperCAmelCase		,					_UpperCAmelCase       )
   lowercase__    :						Dict       =			_get_float_answer(_UpperCAmelCase		,					_UpperCAmelCase		,					_UpperCAmelCase       )
   lowercase__    :						Union[str, Any]       =			_get_answer_text(_UpperCAmelCase		,					_UpperCAmelCase		,					_UpperCAmelCase       )
   # keep the original data the same with TaPas
   if len(_UpperCAmelCase       ) == 0:
      lowercase__    :						int       =			[EMPTY_ANSWER]
   return answer_text







import unittest

from transformers import BlenderbotTokenizer, BlenderbotTokenizerFast
from transformers.utils import cached_property


class 	a__       (       unittest.TestCase       ):


					"""simple docstring"""



					@cached_property
					def 				__UpperCAmelCase		(		self     :Optional[Any]    ):
										return BlenderbotTokenizer.from_pretrained('facebook/blenderbot-3B'    )

					@cached_property
					def 				__UpperCAmelCase		(		self     :Any    ):
										return BlenderbotTokenizerFast.from_pretrained('facebook/blenderbot-3B'    )

					def 				__UpperCAmelCase		(		self     :str    ):
										lowercase						   =       self.tokenizer_ab
										lowercase						   =       ' I am a small frog.'
										lowercase						   =       tok([src_text]      ,  padding=lowercase__      ,  truncation=lowercase__    )['input_ids']
										lowercase						   =       tok.batch_decode(lowercase__      ,  skip_special_tokens=lowercase__      ,  clean_up_tokenization_spaces=lowercase__    )[0]
										assert src_text == decoded

					def 				__UpperCAmelCase		(		self     :Union[str, Any]    ):
										lowercase						   =       self.rust_tokenizer_ab
										lowercase						   =       ' I am a small frog.'
										lowercase						   =       tok([src_text]      ,  padding=lowercase__      ,  truncation=lowercase__    )['input_ids']
										lowercase						   =       tok.batch_decode(lowercase__      ,  skip_special_tokens=lowercase__      ,  clean_up_tokenization_spaces=lowercase__    )[0]
										assert src_text == decoded

					def 				__UpperCAmelCase		(		self     :Any    ):
										assert self.tokenizer_ab.add_prefix_space
										assert self.tokenizer_ab([' Sam', 'Sam']    ).input_ids == [[5502, 2], [5502, 2]]



					def 				__UpperCAmelCase		(		self     :Union[str, Any]    ):
										assert self.rust_tokenizer_ab.add_prefix_space
										assert self.rust_tokenizer_ab([' Sam', 'Sam']    ).input_ids == [[5502, 2], [5502, 2]]






