

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


lowerCamelCase_    =					'''none'''
lowerCamelCase_    =					'''none'''



def    UpperCamelCase(					lowercase_			,					lowercase_							)	->				Dict:





  '''simple docstring'''





  snake_case_       						=      value.split(lowercase_							)
  return len(lowercase_							) > 1 and any((len(lowercase_							) == 3 for x in split)							)



def    UpperCamelCase(					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"""							)
  snake_case_       						=      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    UpperCamelCase(					lowercase_							)	->				Union[str, Any]:





  '''simple docstring'''





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


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







class  __lowerCamelCase				(	enum.Enum	):
      lowerCamelCase_	:      List[str]          =					0
      lowerCamelCase_	:      List[Any]          =					1
      lowerCamelCase_	:      int          =					2
      lowerCamelCase_	:      Tuple          =					3
      lowerCamelCase_	:      List[str]          =					4
      lowerCamelCase_	:      Union[str, Any]          =					5







class  __lowerCamelCase				(	enum.Enum	):
      lowerCamelCase_	:      Optional[int]          =					0
      lowerCamelCase_	:      Dict          =					1
      lowerCamelCase_	:      Union[str, Any]          =					2







@dataclasses.dataclass
class  __lowerCamelCase				:
      lowerCamelCase_	:      Text
      lowerCamelCase_	:      _Operator
      lowerCamelCase_	:      Any

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



def    UpperCamelCase(					lowercase_							)	->				Optional[Any]:





  '''simple docstring'''





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



def    UpperCamelCase(					lowercase_			,					lowercase_			,					lowercase_							)	->				str:





  '''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    UpperCamelCase(					lowercase_			,					lowercase_			,					lowercase_							)	->				List[str]:





  '''simple docstring'''





  snake_case_       						=      table["""types"""]
  return _TYPE_CONVERTER[types[column]](lowercase_							)



def    UpperCamelCase(					lowercase_							)	->				List[str]:





  '''simple docstring'''





  return isinstance(lowercase_			,					lowercase_							)



def    UpperCamelCase(					lowercase_			,					lowercase_			,					lowercase_							)	->				List[Any]:





  '''simple docstring'''





  for cond in conditions:
    snake_case_       						=      row[cond.column]

    snake_case_       						=      _parse_value(lowercase_			,					cond.column			,					cond.cmp_value							)

    if _is_string(lowercase_							) and _is_string(lowercase_							):
      snake_case_       						=      _normalize_for_match(lowercase_							)
      snake_case_       						=      _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    UpperCamelCase(					lowercase_			,					lowercase_			,					lowercase_							)	->				List[Any]:





  '''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.
  snake_case_       						=      [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    UpperCamelCase(					lowercase_			,					lowercase_							)	->				List[Any]:





  '''simple docstring'''





  snake_case_       						=      sql_query["""agg"""]
  if aggregation_op_index >= 3:
    snake_case_       						=      _Aggregation(lowercase_							)
  else:
    snake_case_       						=      _Aggregation.NONE

  snake_case_       						=      sql_query["""sel"""]
  snake_case_       						=      [
      _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"""]							)
  ]

  snake_case_       						=      []
  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):
    snake_case_       						=      {2: min, 1: max}
    snake_case_       						=      [(table["""rows"""][i][j], index) for index, (i, j) in enumerate(lowercase_							)]
    snake_case_       						=      functools.reduce(operators[sql_query["""agg"""]]			,					lowercase_							)

    snake_case_       						=      [indices[reduced[1]]]
    return ret, _Aggregation.NONE

  return indices, aggregation_op



def    UpperCamelCase(					lowercase_			,					lowercase_			,					lowercase_							)	->				int:





  '''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    UpperCamelCase(					lowercase_			,					lowercase_							)	->				List:





  '''simple docstring'''





  snake_case_						,				snake_case_       						=      _get_answer_coordinates(lowercase_			,					lowercase_							)
  snake_case_       						=      _get_float_answer(lowercase_			,					lowercase_			,					lowercase_							)
  snake_case_       						=      _get_answer_text(lowercase_			,					lowercase_			,					lowercase_							)
  # keep the original data the same with TaPas
  if len(lowercase_							) == 0:
    snake_case_       						=      [EMPTY_ANSWER]
  return answer_text


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase_    =					logging.get_logger(__name__)

lowerCamelCase_    =					{
    '''google/rembert''': '''https://huggingface.co/google/rembert/resolve/main/config.json''',
    # See all RemBERT models at https://huggingface.co/models?filter=rembert
}







class  __lowerCamelCase				(	__snake_case	):
      lowerCamelCase_	:      Tuple          =					'rembert'







      def __init__(     self							,  lowerCamelCase=250300							,  lowerCamelCase=1152							,  lowerCamelCase=32							,  lowerCamelCase=18							,  lowerCamelCase=256							,  lowerCamelCase=1664							,  lowerCamelCase=4608							,  lowerCamelCase="gelu"							,  lowerCamelCase=0.0							,  lowerCamelCase=0.0							,  lowerCamelCase=0.1							,  lowerCamelCase=512							,  lowerCamelCase=2							,  lowerCamelCase=0.02							,  lowerCamelCase=1e-12							,  lowerCamelCase=True							,  lowerCamelCase=0							,  lowerCamelCase=312							,  lowerCamelCase=313							,  **lowerCamelCase							,  )						->       Union[str, Any]:
        super().__init__(pad_token_id=lowerCamelCase							,  bos_token_id=lowerCamelCase							,  eos_token_id=lowerCamelCase							,  **lowerCamelCase   )

        snake_case_       						=      vocab_size
        snake_case_       						=      input_embedding_size
        snake_case_       						=      output_embedding_size
        snake_case_       						=      max_position_embeddings
        snake_case_       						=      hidden_size
        snake_case_       						=      num_hidden_layers
        snake_case_       						=      num_attention_heads
        snake_case_       						=      intermediate_size
        snake_case_       						=      hidden_act
        snake_case_       						=      hidden_dropout_prob
        snake_case_       						=      attention_probs_dropout_prob
        snake_case_       						=      classifier_dropout_prob
        snake_case_       						=      initializer_range
        snake_case_       						=      type_vocab_size
        snake_case_       						=      layer_norm_eps
        snake_case_       						=      use_cache
        snake_case_       						=      False







class  __lowerCamelCase				(	__snake_case	):







      @property
      def 	lowerCAmelCase_    (     self   )						->       Mapping[str, Mapping[int, str]]:
        if self.task == "multiple-choice":
          snake_case_       						=      {0: """batch""", 1: """choice""", 2: """sequence"""}
        else:
          snake_case_       						=      {0: """batch""", 1: """sequence"""}
        return OrderedDict(
            [
                ("""input_ids""", dynamic_axis),
                ("""attention_mask""", dynamic_axis),
                ("""token_type_ids""", dynamic_axis),
            ]   )







      @property
      def 	lowerCAmelCase_    (     self   )						->       float:
        return 1e-4