
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__			(    snake_case   ,	snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					Any			=						value.split(snake_case    )
  return len(snake_case    ) > 1 and any((len(snake_case    ) == 3 for x in split)    )


def     a__			(    snake_case    ):





  """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'''    )
  __SCREAMING_SNAKE_CASE     :					List[str]			=						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    ):





  """simple docstring"""
  if answer is None:
    return None
  try:
    __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						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()


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





class   __UpperCamelCase				(    enum.Enum   ):






     """simple docstring"""







     lowerCAmelCase_     =	0
     lowerCAmelCase_     =	1
     lowerCAmelCase_     =	2
     lowerCAmelCase_     =	3
     lowerCAmelCase_     =	4
     lowerCAmelCase_     =	5






class   __UpperCamelCase				(    enum.Enum   ):






     """simple docstring"""







     lowerCAmelCase_     =	0
     lowerCAmelCase_     =	1
     lowerCAmelCase_     =	2






@dataclasses.dataclass
class   __UpperCamelCase				:






     """simple docstring"""







     lowerCAmelCase_     =	42
     lowerCAmelCase_     =	42
     lowerCAmelCase_     =	42






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


def     a__			(    snake_case    ):





  """simple docstring"""
  return list(_TOKENIZER.findall(x.lower()    )    )


def     a__			(    snake_case   ,	snake_case   ,	snake_case    ):





  """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   ,	snake_case   ,	snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					int			=						table['''types''']
  return _TYPE_CONVERTER[types[column]](snake_case    )


def     a__			(    snake_case    ):





  """simple docstring"""
  return isinstance(snake_case   ,	snake_case    )


def     a__			(    snake_case   ,	snake_case   ,	snake_case    ):





  """simple docstring"""
  for cond in conditions:
    __SCREAMING_SNAKE_CASE     :					Tuple			=						row[cond.column]

    __SCREAMING_SNAKE_CASE     :					List[Any]			=						_parse_value(snake_case   ,	cond.column   ,	cond.cmp_value    )

    if _is_string(snake_case    ) and _is_string(snake_case    ):
      __SCREAMING_SNAKE_CASE     :					Tuple			=						_normalize_for_match(snake_case    )
      __SCREAMING_SNAKE_CASE     :					int			=						_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   ,	snake_case   ,	snake_case    ):





  """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.
  __SCREAMING_SNAKE_CASE     :					List[str]			=						[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   ,	snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE     :					Any			=						sql_query['''agg''']
  if aggregation_op_index >= 3:
    __SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						_Aggregation(snake_case    )
  else:
    __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						_Aggregation.NONE

  __SCREAMING_SNAKE_CASE     :					Any			=						sql_query['''sel''']
  __SCREAMING_SNAKE_CASE     :					Tuple			=						[
      _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''']    )
  ]

  __SCREAMING_SNAKE_CASE     :					List[str]			=						[]
  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):
    __SCREAMING_SNAKE_CASE     :					List[str]			=						{2: min, 1: max}
    __SCREAMING_SNAKE_CASE     :					Tuple			=						[(table['''rows'''][i][j], index) for index, (i, j) in enumerate(snake_case    )]
    __SCREAMING_SNAKE_CASE     :					int			=						functools.reduce(operators[sql_query['''agg''']]   ,	snake_case    )

    __SCREAMING_SNAKE_CASE     :					Optional[int]			=						[indices[reduced[1]]]
    return ret, _Aggregation.NONE

  return indices, aggregation_op


def     a__			(    snake_case   ,	snake_case   ,	snake_case    ):





  """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   ,	snake_case    ):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE,						__SCREAMING_SNAKE_CASE     :					Optional[Any]			=						_get_answer_coordinates(snake_case   ,	snake_case    )
  __SCREAMING_SNAKE_CASE     :					List[Any]			=						_get_float_answer(snake_case   ,	snake_case   ,	snake_case    )
  __SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						_get_answer_text(snake_case   ,	snake_case   ,	snake_case    )
  # keep the original data the same with TaPas
  if len(snake_case    ) == 0:
    __SCREAMING_SNAKE_CASE     :					Any			=						[EMPTY_ANSWER]
  return answer_text


import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types





class   __UpperCamelCase				(    unittest.TestCase				,		lowerCAmelCase__   ):






     """simple docstring"""







     def 				UpperCAmelCase__    (							self    :    Optional[Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					str			=						load_tool('''translation'''				)
       self.tool.setup()
       __SCREAMING_SNAKE_CASE     :					List[Any]			=						load_tool('''translation'''      ,		remote=_A				)



     def 				UpperCAmelCase__    (							self    :    List[Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Any			=						self.tool('''Hey, what\'s up?'''      ,		src_lang='''English'''      ,		tgt_lang='''French'''				)
       self.assertEqual(_A      ,		'''- Hé, comment ça va?'''				)



     def 				UpperCAmelCase__    (							self    :    List[str]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					List[str]			=						self.remote_tool('''Hey, what\'s up?'''      ,		src_lang='''English'''      ,		tgt_lang='''French'''				)
       self.assertEqual(_A      ,		'''- Hé, comment ça va?'''				)



     def 				UpperCAmelCase__    (							self    :    Optional[Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					int			=						self.tool(text='''Hey, what\'s up?'''      ,		src_lang='''English'''      ,		tgt_lang='''French'''				)
       self.assertEqual(_A      ,		'''- Hé, comment ça va?'''				)



     def 				UpperCAmelCase__    (							self    :    int				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					List[Any]			=						self.remote_tool(text='''Hey, what\'s up?'''      ,		src_lang='''English'''      ,		tgt_lang='''French'''				)
       self.assertEqual(_A      ,		'''- Hé, comment ça va?'''				)



     def 				UpperCAmelCase__    (							self    :    Union[str, Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Optional[int]			=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
       __SCREAMING_SNAKE_CASE     :					List[Any]			=						self.tool(*_A				)

       # There is a single output
       if len(self.tool.outputs				) == 1:
         __SCREAMING_SNAKE_CASE     :					Any			=						[outputs]

       self.assertListEqual(output_types(_A				)      ,		self.tool.outputs				)



     def 				UpperCAmelCase__    (							self    :    Union[str, Any]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					int			=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
       __SCREAMING_SNAKE_CASE     :					List[str]			=						self.tool(*_A				)

       if not isinstance(_A      ,		_A				):
         __SCREAMING_SNAKE_CASE     :					Dict			=						[outputs]

       self.assertEqual(len(_A				)      ,		len(self.tool.outputs				)				)

       for output, output_type in zip(_A      ,		self.tool.outputs				):
         __SCREAMING_SNAKE_CASE     :					List[Any]			=						AGENT_TYPE_MAPPING[output_type]
         self.assertTrue(isinstance(_A      ,		_A				)				)




     def 				UpperCAmelCase__    (							self    :    List[str]				):







       """simple docstring"""




       __SCREAMING_SNAKE_CASE     :					Dict			=						['''Hey, what\'s up?''', '''English''', '''Spanish''']

       __SCREAMING_SNAKE_CASE     :					Optional[Any]			=						[]

       for _input, input_type in zip(_A      ,		self.tool.inputs				):
         if isinstance(_A      ,		_A				):
           _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input				) for _input_type in input_type]				)
         else:
           _inputs.append(AGENT_TYPE_MAPPING[input_type](_input				)				)

        # Should not raise an error
       __SCREAMING_SNAKE_CASE     :					Union[str, Any]			=						self.tool(*_A				)

       if not isinstance(_A      ,		_A				):
         __SCREAMING_SNAKE_CASE     :					Dict			=						[outputs]

       self.assertEqual(len(_A				)      ,		len(self.tool.outputs				)				)
