

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  _snake_case		(snake_case_					:     List[str]    ,       snake_case_					:     List[Any]  )							->		Optional[Any]:
  __UpperCAmelCase	:  List[str]		=     value.split(snake_case_  )
  return len(snake_case_  ) > 1 and any((len(snake_case_  ) == 3 for x in split)  )





def  _snake_case		(snake_case_					:     Tuple  )							->		List[Any]:
  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'  )
  __UpperCAmelCase	:  Optional[int]		=     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  _snake_case		(snake_case_					:     Tuple  )							->		List[str]:
  if answer is None:
    return None
  try:
    __UpperCAmelCase	:  Dict		=     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()


_SCREAMING_SNAKE_CASE							 =			{
    '''text''': lambda x: x,
    '''real''': convert_to_float,
}


class      lowerCamelCase_ (			enum.Enum):
 _lowerCAmelCase									=	0
 _lowerCAmelCase									=	1
 _lowerCAmelCase									=	2
 _lowerCAmelCase									=	3
 _lowerCAmelCase									=	4
 _lowerCAmelCase									=	5



class      lowerCamelCase_ (			enum.Enum):
 _lowerCAmelCase									=	0
 _lowerCAmelCase									=	1
 _lowerCAmelCase									=	2



@dataclasses.dataclass
class      lowerCamelCase_ :
 _lowerCAmelCase									=	42
 _lowerCAmelCase									=	42
 _lowerCAmelCase									=	42



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





def  _snake_case		(snake_case_					:     Union[str, Any]  )							->		Any:
  return list(_TOKENIZER.findall(x.lower()  )  )





def  _snake_case		(snake_case_					:     int    ,       snake_case_					:     Optional[int]    ,       snake_case_					:     Tuple  )							->		Optional[int]:
  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  _snake_case		(snake_case_					:     Tuple    ,       snake_case_					:     Optional[Any]    ,       snake_case_					:     int  )							->		Optional[Any]:
  __UpperCAmelCase	:  List[Any]		=     table['types']
  return _TYPE_CONVERTER[types[column]](snake_case_  )





def  _snake_case		(snake_case_					:     Dict  )							->		int:
  return isinstance(snake_case_    ,       snake_case_  )





def  _snake_case		(snake_case_					:     Any    ,       snake_case_					:     int    ,       snake_case_					:     int  )							->		Optional[Any]:
  for cond in conditions:
    __UpperCAmelCase	:  Any		=     row[cond.column]

    __UpperCAmelCase	:  Union[str, Any]		=     _parse_value(snake_case_    ,       cond.column    ,       cond.cmp_value  )

    if _is_string(snake_case_  ) and _is_string(snake_case_  ):
      __UpperCAmelCase	:  str		=     _normalize_for_match(snake_case_  )
      __UpperCAmelCase	:  Optional[Any]		=     _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  _snake_case		(snake_case_					:     List[str]    ,       snake_case_					:     Dict    ,       snake_case_					:     Union[str, Any]  )							->		List[str]:
  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.
  __UpperCAmelCase	:  Any		=     [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  _snake_case		(snake_case_					:     int    ,       snake_case_					:     Union[str, Any]  )							->		Tuple:
  __UpperCAmelCase	:  int		=     sql_query['agg']
  if aggregation_op_index >= 3:
    __UpperCAmelCase	:  Union[str, Any]		=     _Aggregation(snake_case_  )
  else:
    __UpperCAmelCase	:  List[Any]		=     _Aggregation.NONE

  __UpperCAmelCase	:  Dict		=     sql_query['sel']
  __UpperCAmelCase	:  Optional[int]		=     [
      _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']  )
  ]

  __UpperCAmelCase	:  Optional[Any]		=     []
  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):
    __UpperCAmelCase	:  str		=     {2: min, 1: max}
    __UpperCAmelCase	:  Dict		=     [(table['rows'][i][j], index) for index, (i, j) in enumerate(snake_case_  )]
    __UpperCAmelCase	:  Optional[int]		=     functools.reduce(operators[sql_query['agg']]    ,       snake_case_  )

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

  return indices, aggregation_op





def  _snake_case		(snake_case_					:     int    ,       snake_case_					:     Any    ,       snake_case_					:     Optional[int]  )							->		List[Any]:
  if float_answer is not None:
    return [str(snake_case_  )]
  return [str(table['real_rows'][r][c]  ) for r, c in answer_coordinates]







def  _snake_case		(snake_case_					:     Union[str, Any]    ,       snake_case_					:     Optional[int]  )							->		List:
  __UpperCAmelCase,			__UpperCAmelCase	:  Union[str, Any]		=     _get_answer_coordinates(snake_case_    ,       snake_case_  )
  __UpperCAmelCase	:  Optional[int]		=     _get_float_answer(snake_case_    ,       snake_case_    ,       snake_case_  )
  __UpperCAmelCase	:  Optional[int]		=     _get_answer_text(snake_case_    ,       snake_case_    ,       snake_case_  )
  # keep the original data the same with TaPas
  if len(snake_case_  ) == 0:
    __UpperCAmelCase	:  Optional[Any]		=     [EMPTY_ANSWER]
  return answer_text








import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin


class      lowerCamelCase_ (			_lowerCAmelCase	,				unittest.TestCase):
 _lowerCAmelCase									=	SpeechaTextaTokenizer
 _lowerCAmelCase									=	False




 def     a       (			self							):
   super().setUp()

   __UpperCAmelCase	:  List[Any]		=     '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '							)
   __UpperCAmelCase	:  Dict		=     ['he re</w> 123', 'here a 1456']
   __UpperCAmelCase	:  Optional[int]		=     dict(zip(_UpperCAmelCase  ,  range(len(_UpperCAmelCase							)							)							)							)

   __UpperCAmelCase	:  List[Any]		=     {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

   __UpperCAmelCase	:  Tuple		=     tempfile.mkdtemp()
   __UpperCAmelCase	:  str		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['vocab_file']							)
   __UpperCAmelCase	:  List[Any]		=     os.path.join(self.tmpdirname  ,  VOCAB_FILES_NAMES['merges_file']							)

   with open(self.vocab_file  ,  'w'  ,  encoding='utf-8'							) as fp:
     fp.write(json.dumps(_UpperCAmelCase							) + '\n'							)

   with open(self.merges_file  ,  'w'							) as fp:
     fp.write('\n'.join(_UpperCAmelCase							)							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     list(self.get_tokenizer().get_vocab().keys()							)

   self.assertEqual(vocab_keys[0]  ,  '<s>'							)
   self.assertEqual(vocab_keys[1]  ,  '<pad>'							)
   self.assertEqual(vocab_keys[-1]  ,  'vocab'							)
   self.assertEqual(len(_UpperCAmelCase							)  ,  14							)




 def     a       (			self							):
   self.assertEqual(self.get_tokenizer().vocab_size  ,  14							)




 def     a       (			self							):
   __UpperCAmelCase	:  int		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   # make sure @@ is correctly concatenated
   __UpperCAmelCase	:  int		=     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
   __UpperCAmelCase	:  List[str]		=     tokenizer.decode(_UpperCAmelCase							)

   self.assertTrue(output_string == 'herecouple words ofthe'							)




 def     a       (			self							):
   __UpperCAmelCase	:  Union[str, Any]		=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     tokenizer.save_pretrained(_UpperCAmelCase							)
     os.remove(os.path.join(_UpperCAmelCase  ,  'merges.txt'							)							)

     # load tokenizer without merges file should not throw an error
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   with tempfile.TemporaryDirectory() as tmp_dirname:
     # save tokenizer and load again
     tokenizer.save_pretrained(_UpperCAmelCase							)
     __UpperCAmelCase	:  Optional[int]		=     SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase							)

   self.assertIsNotNone(_UpperCAmelCase							)




 def     a       (			self							):
   if not self.test_slow_tokenizer:
     return

   __UpperCAmelCase	:  List[Any]		=     inspect.signature(self.tokenizer_class.__init__							)
   __UpperCAmelCase	:  List[Any]		=     self.get_tokenizer()

   for parameter_name, parameter in signature.parameters.items():
     if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
       self.assertIn(_UpperCAmelCase  ,  tokenizer.init_kwargs							)





