




"""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


SCREAMING_SNAKE_CASE							=			"none"
SCREAMING_SNAKE_CASE							=			"none"







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_		)		->						List[str]:
 A__			=							value.split(lowercase_		)
 return len(lowercase_		) > 1 and any((len(lowercase_		) == 3 for x in split)		)







def     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						str:
 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"		)
 A__			=							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     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						int:
 if answer is None:
  return None
 try:
  A__			=							convert_to_float(lowercase_		)
  if isinstance(lowercase_     ,					lowercase_		) and math.isnan(lowercase_		):
   return None
  return value
 except ValueError:
  return answer.lower()


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




class       UpperCAmelCase_    (		enum.Enum				):
    lowercase__		   = 0
    lowercase__		   = 1
    lowercase__		   = 2
    lowercase__		   = 3
    lowercase__		   = 4
    lowercase__		   = 5






class       UpperCAmelCase_    (		enum.Enum				):
    lowercase__		   = 0
    lowercase__		   = 1
    lowercase__		   = 2






@dataclasses.dataclass
class       UpperCAmelCase_    :
    lowercase__		   = 42
    lowercase__		   = 42
    lowercase__		   = 42






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







def     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						List[str]:
 return list(_TOKENIZER.findall(x.lower()		)		)







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_		)		->						Union[str, Any]:
 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     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_		)		->						List[str]:
 A__			=							table["types"]
 return _TYPE_CONVERTER[types[column]](lowercase_		)







def     _SCREAMING_SNAKE_CASE  (				lowercase_		)		->						List[Any]:
 return isinstance(lowercase_     ,					lowercase_		)







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_		)		->						str:
 for cond in conditions:
  A__			=							row[cond.column]

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

  if _is_string(lowercase_		) and _is_string(lowercase_		):
   A__			=							_normalize_for_match(lowercase_		)
   A__			=							_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     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_		)		->						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(lowercase_		)		)

 # If we have just one answer, if float returns it or try a conversion.
 A__			=							[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     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_		)		->						Tuple:
 A__			=							sql_query["agg"]
 if aggregation_op_index >= 3:
  A__			=							_Aggregation(lowercase_		)
 else:
  A__			=							_Aggregation.NONE

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

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

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

 return indices, aggregation_op







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_		)		->						str:
 if float_answer is not None:
  return [str(lowercase_		)]
 return [str(table["real_rows"][r][c]		) for r, c in answer_coordinates]







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_		)		->						List:
 A__, A__			=							_get_answer_coordinates(lowercase_     ,					lowercase_		)
 A__			=							_get_float_answer(lowercase_     ,					lowercase_     ,					lowercase_		)
 A__			=							_get_answer_text(lowercase_     ,					lowercase_     ,					lowercase_		)
 # keep the original data the same with TaPas
 if len(lowercase_		) == 0:
  A__			=							[EMPTY_ANSWER]
 return answer_text











"""simple docstring"""



import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


SCREAMING_SNAKE_CASE							=			2 << 20  # 2mb
SCREAMING_SNAKE_CASE							=			get_logger(__name__)




class       UpperCAmelCase_    (		A_				):




    def 				__magic_name__				(       self		:			Tuple ) ->				Optional[int]:




     '''simple docstring'''

     A__			=							self._options.get_all_options().get("runner" )
     return runner in [None, "DirectRunner", "PortableRunner"]







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_=False		)		->						Dict:
 A__			=							FileSystems
 if fs.exists(lowercase_		):
  if force_upload:
   logger.info(f"""Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."""		)
  else:
   logger.info(f"""Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."""		)
   return
 with fs.create(lowercase_		) as remote_file:
  with open(lowercase_     ,					"rb"		) as local_file:
   A__			=							local_file.read(lowercase_		)
   while chunk:
    remote_file.write(lowercase_		)
    A__			=							local_file.read(lowercase_		)







def     _SCREAMING_SNAKE_CASE  (				lowercase_     ,					lowercase_     ,					lowercase_=False		)		->						int:
 A__			=							FileSystems
 if os.path.exists(lowercase_		):
  if force_download:
   logger.info(f"""Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."""		)
  else:
   logger.info(f"""Local path already exist: {remote_file_path}. Skipping it as force_upload=False."""		)
   return
 with fs.open(lowercase_		) as remote_file:
  with open(lowercase_     ,					"wb"		) as local_file:
   A__			=							remote_file.read(lowercase_		)
   while chunk:
    local_file.write(lowercase_		)
    A__			=							remote_file.read(lowercase_		)





