
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  :			Optional[int]     				=				'none'
A  :			Tuple     				=				'none'


def 					__lowerCAmelCase    (    a__		,					a__						) ->						Any:
				__a    							=					value.split(a__						)
				return len(a__						) > 1 and any((len(a__						) == 3 for x in split)						)


def 					__lowerCAmelCase    (    a__						) ->						int:
				if isinstance(a__		,					a__						):
								return value
				if isinstance(a__		,					a__						):
								return float(a__						)
				if not isinstance(a__		,					a__						):
								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(''','''		,					a__						):
												return float(sanitized.replace(''','''		,					''''''						)						)
								# 5,5556
								if "," in sanitized and sanitized.count(''','''						) == 1 and not _split_thousands(''','''		,					a__						):
												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(a__						)
				except ValueError:
								# Avoid adding the sanitized value in the error message.
								raise ValueError('''Unable to convert value to float'''						)


def 					__lowerCAmelCase    (    a__						) ->						Union[str, Any]:
				if answer is None:
								return None
				try:
								__a    							=					convert_to_float(a__						)
								if isinstance(a__		,					a__						) and math.isnan(a__						):
												return None
								return value
				except ValueError:
								return answer.lower()


A  :			str     				=				{
    'text': lambda x: x,
    'real': convert_to_float,
}







class     __A(				enum.Enum    ):
			snake_case_		     =					0
			snake_case_		     =					1
			snake_case_		     =					2
			snake_case_		     =					3
			snake_case_		     =					4
			snake_case_		     =					5







class     __A(				enum.Enum    ):
			snake_case_		     =					0
			snake_case_		     =					1
			snake_case_		     =					2







@dataclasses.dataclass
class     __A:
			snake_case_		     =					4_2
			snake_case_		     =					4_2
			snake_case_		     =					4_2



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


def 					__lowerCAmelCase    (    a__						) ->						int:
				return list(_TOKENIZER.findall(x.lower()						)						)


def 					__lowerCAmelCase    (    a__		,					a__		,					a__						) ->						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    (    a__		,					a__		,					a__						) ->						Union[str, Any]:
				__a    							=					table['''types''']
				return _TYPE_CONVERTER[types[column]](a__						)


def 					__lowerCAmelCase    (    a__						) ->						Optional[int]:
				return isinstance(a__		,					a__						)


def 					__lowerCAmelCase    (    a__		,					a__		,					a__						) ->						List[str]:
				for cond in conditions:
								__a    							=					row[cond.column]

								__a    							=					_parse_value(a__		,					cond.column		,					cond.cmp_value						)

								if _is_string(a__						) and _is_string(a__						):
												__a    							=					_normalize_for_match(a__						)
												__a    							=					_normalize_for_match(a__						)

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

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


def 					__lowerCAmelCase    (    a__		,					a__		,					a__						) ->						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(a__						)						)

				# 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(a__						) == 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(a__		,					(int, float)						) for v in values)						):
								return None

				if aggregation_op == _Aggregation.SUM:
								return float(sum(a__						)						)
				elif aggregation_op == _Aggregation.AVERAGE:
								return sum(a__						) / len(a__						)
				else:
								raise ValueError(F"""Unknown aggregation: {aggregation_op}"""						)


def 					__lowerCAmelCase    (    a__		,					a__						) ->						Any:
				__a    							=					sql_query['''agg''']
				if aggregation_op_index >= 3:
								__a    							=					_Aggregation(a__						)
				else:
								__a    							=					_Aggregation.NONE

				__a    							=					sql_query['''sel''']
				__a    							=					[
				    _Condition(a__		,					_Operator(a__						)		,					a__						)
				    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(a__		,					table['''rows'''][row]		,					a__						):
												indices.append((row, target_column)						)

				if not indices:
								return [], aggregation_op

				if len(a__						) == 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(a__						)]
								__a    							=					functools.reduce(operators[sql_query['''agg''']]		,					a__						)

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

				return indices, aggregation_op


def 					__lowerCAmelCase    (    a__		,					a__		,					a__						) ->						int:
				if float_answer is not None:
								return [str(a__						)]
				return [str(table['''real_rows'''][r][c]						) for r, c in answer_coordinates]






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

import os

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

from .logging import get_logger


A  :			Optional[int]     				=				2 << 2_0  # 2mb
A  :			Optional[int]     				=				get_logger(__name__)







class     __A(				a    ):




				def        SCREAMING_SNAKE_CASE_	(  self       )					->   Union[str, Any]:


								'''simple docstring'''




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



def 					__lowerCAmelCase    (    a__		,					a__		,					a__=False						) ->						Union[str, Any]:
				__a    							=					FileSystems
				if fs.exists(a__						):
								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(a__						) as remote_file:
								with open(a__		,					'''rb'''						) as local_file:
												__a    							=					local_file.read(a__						)
												while chunk:
																remote_file.write(a__						)
																__a    							=					local_file.read(a__						)






def 					__lowerCAmelCase    (    a__		,					a__		,					a__=False						) ->						Dict:
				__a    							=					FileSystems
				if os.path.exists(a__						):
								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(a__						) as remote_file:
								with open(a__		,					'''wb'''						) as local_file:
												__a    							=					remote_file.read(a__						)
												while chunk:
																local_file.write(a__						)
																__a    							=					remote_file.read(a__						)