

'''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


_a				: List[str] 							=						'none'
_a				: Optional[Any] 							=						'none'


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Tuple       ,   SCREAMING_SNAKE_CASE      :   Any						):
  UpperCAmelCase													=	value.split(SCREAMING_SNAKE_CASE						)
  return len(SCREAMING_SNAKE_CASE						) > 1 and any((len(SCREAMING_SNAKE_CASE						) == 3 for x in split)						)


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Any						):
  if isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						):
    return value
  if isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						):
    return float(SCREAMING_SNAKE_CASE						)
  if not isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						):
    raise ValueError('Argument value is not a string. Can\'t parse it as float'						)
  UpperCAmelCase													=	value

  try:
    # Example: 1,000.7
    if "." in sanitized and "," in sanitized:
      return float(sanitized.replace(','       ,   ''						)						)
    # 1,000
    if "," in sanitized and _split_thousands(','       ,   SCREAMING_SNAKE_CASE						):
      return float(sanitized.replace(','       ,   ''						)						)
    # 5,5556
    if "," in sanitized and sanitized.count(','						) == 1 and not _split_thousands(','       ,   SCREAMING_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(SCREAMING_SNAKE_CASE						)
  except ValueError:
    # Avoid adding the sanitized value in the error message.
    raise ValueError('Unable to convert value to float'						)


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Tuple						):
  if answer is None:
    return None
  try:
    UpperCAmelCase													=	convert_to_float(SCREAMING_SNAKE_CASE						)
    if isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						) and math.isnan(SCREAMING_SNAKE_CASE						):
      return None
    return value
  except ValueError:
    return answer.lower()


_a				: Union[str, Any] 							=						{
    'text': lambda x: x,
    'real': convert_to_float,
}



class        lowercase_	(		enum.Enum ):

  '''simple docstring'''





  __lowerCAmelCase					: List[Any]      =   0
  __lowerCAmelCase					: List[Any]      =   1
  __lowerCAmelCase					: Tuple      =   2
  __lowerCAmelCase					: List[Any]      =   3
  __lowerCAmelCase					: str      =   4
  __lowerCAmelCase					: Dict      =   5




class        lowercase_	(		enum.Enum ):

  '''simple docstring'''





  __lowerCAmelCase					: List[str]      =   0
  __lowerCAmelCase					: Union[str, Any]      =   1
  __lowerCAmelCase					: Union[str, Any]      =   2




@dataclasses.dataclass
class        lowercase_	:

  '''simple docstring'''





  __lowerCAmelCase					: Text
  __lowerCAmelCase					: _Operator
  __lowerCAmelCase					: Any




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


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   List[str]						):
  return list(_TOKENIZER.findall(x.lower()						)						)


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Dict       ,   SCREAMING_SNAKE_CASE      :   Any       ,   SCREAMING_SNAKE_CASE      :   List[str]						):
  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       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Optional[Any]       ,   SCREAMING_SNAKE_CASE      :   int       ,   SCREAMING_SNAKE_CASE      :   List[Any]						):
  UpperCAmelCase													=	table['types']
  return _TYPE_CONVERTER[types[column]](SCREAMING_SNAKE_CASE						)


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   List[str]						):
  return isinstance(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   str       ,   SCREAMING_SNAKE_CASE      :   int       ,   SCREAMING_SNAKE_CASE      :   Union[str, Any]						):
  for cond in conditions:
    UpperCAmelCase													=	row[cond.column]

    UpperCAmelCase													=	_parse_value(SCREAMING_SNAKE_CASE       ,   cond.column       ,   cond.cmp_value						)

    if _is_string(SCREAMING_SNAKE_CASE						) and _is_string(SCREAMING_SNAKE_CASE						):
      UpperCAmelCase													=	_normalize_for_match(SCREAMING_SNAKE_CASE						)
      UpperCAmelCase													=	_normalize_for_match(SCREAMING_SNAKE_CASE						)

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

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


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   str       ,   SCREAMING_SNAKE_CASE      :   Optional[Any]       ,   SCREAMING_SNAKE_CASE      :   Optional[Any]						):
  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(SCREAMING_SNAKE_CASE						)						)

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

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


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   str       ,   SCREAMING_SNAKE_CASE      :   List[Any]						):
  UpperCAmelCase													=	sql_query['agg']
  if aggregation_op_index >= 3:
    UpperCAmelCase													=	_Aggregation(SCREAMING_SNAKE_CASE						)
  else:
    UpperCAmelCase													=	_Aggregation.NONE

  UpperCAmelCase													=	sql_query['sel']
  UpperCAmelCase													=	[
      _Condition(SCREAMING_SNAKE_CASE       ,   _Operator(SCREAMING_SNAKE_CASE						)       ,   SCREAMING_SNAKE_CASE						)
      for column, operator, cmp_value in zip(
          sql_query['conds']['column_index']       ,   sql_query['conds']['operator_index']       ,   sql_query['conds']['condition']						)
  ]

  UpperCAmelCase													=	[]
  for row in range(len(table['rows']						)						):
    if _respect_conditions(SCREAMING_SNAKE_CASE       ,   table['rows'][row]       ,   SCREAMING_SNAKE_CASE						):
      indices.append((row, target_column)						)

  if not indices:
    return [], aggregation_op

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

  # Parsing of MIN/MAX.
  if aggregation_op_index in (1, 2):
    UpperCAmelCase													=	{2: min, 1: max}
    UpperCAmelCase													=	[(table['rows'][i][j], index) for index, (i, j) in enumerate(SCREAMING_SNAKE_CASE						)]
    UpperCAmelCase													=	functools.reduce(operators[sql_query['agg']]       ,   SCREAMING_SNAKE_CASE						)

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

  return indices, aggregation_op


def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Tuple       ,   SCREAMING_SNAKE_CASE      :   Optional[Any]       ,   SCREAMING_SNAKE_CASE      :   Optional[Any]						):
  if float_answer is not None:
    return [str(SCREAMING_SNAKE_CASE						)]
  return [str(table['real_rows'][r][c]						) for r, c in answer_coordinates]



def       lowerCamelCase__		(						SCREAMING_SNAKE_CASE      :   Any       ,   SCREAMING_SNAKE_CASE      :   Optional[Any]						):
  UpperCAmelCase							,      UpperCAmelCase													=	_get_answer_coordinates(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)
  UpperCAmelCase													=	_get_float_answer(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)
  UpperCAmelCase													=	_get_answer_text(SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE       ,   SCREAMING_SNAKE_CASE						)
  # keep the original data the same with TaPas
  if len(SCREAMING_SNAKE_CASE						) == 0:
    UpperCAmelCase													=	[EMPTY_ANSWER]
  return answer_text





'''simple docstring'''




_a				: Tuple 							=						'\n# Diffusers installation\n! pip install diffusers transformers datasets accelerate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/diffusers.git\n'

_a				: Tuple 							=						[{'type': 'code', 'content': INSTALL_CONTENT}]


