
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


_UpperCAmelCase   :					Any    =			"none"
_UpperCAmelCase   :					str    =			"none"


def  A			(   lowercase       ,			lowercase					)  ->    List[Any]:
		'''simple docstring'''

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


def  A			(   lowercase					)  ->    Optional[Any]:
		'''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'					)
		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(','       ,			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  A			(   lowercase					)  ->    Dict:
		'''simple docstring'''

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


_UpperCAmelCase   :					int    =			{
    "text": lambda x: x,
    "real": convert_to_float,
}


class 							lowercase   (						enum.Enum  ):
		__lowercase			:			Optional[int]      	=							0
		__lowercase			:			Optional[int]      	=							1
		__lowercase			:			Union[str, Any]      	=							2
		__lowercase			:			Any      	=							3
		__lowercase			:			Any      	=							4
		__lowercase			:			List[Any]      	=							5






class 							lowercase   (						enum.Enum  ):
		__lowercase			:			Optional[int]      	=							0
		__lowercase			:			Optional[int]      	=							1
		__lowercase			:			Tuple      	=							2






@dataclasses.dataclass
class 							lowercase   :
		__lowercase			:			Text
		__lowercase			:			_Operator
		__lowercase			:			Any






_UpperCAmelCase   :					int    =			re.compile(R"\w+|[^\w\s]+", re.UNICODE | re.MULTILINE | re.DOTALL)


def  A			(   lowercase					)  ->    Optional[int]:
		'''simple docstring'''

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


def  A			(   lowercase       ,			lowercase       ,			lowercase					)  ->    int:
		'''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  A			(   lowercase       ,			lowercase       ,			lowercase					)  ->    int:
		'''simple docstring'''

		UpperCamelCase            =	table['types']
		return _TYPE_CONVERTER[types[column]](lowercase					)


def  A			(   lowercase					)  ->    List[Any]:
		'''simple docstring'''

		return isinstance(lowercase       ,			lowercase					)


def  A			(   lowercase       ,			lowercase       ,			lowercase					)  ->    Optional[int]:
		'''simple docstring'''

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

				UpperCamelCase            =	_parse_value(lowercase       ,			cond.column       ,			cond.cmp_value					)

				if _is_string(lowercase					) and _is_string(lowercase					):
						UpperCamelCase            =	_normalize_for_match(lowercase					)
						UpperCamelCase            =	_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  A			(   lowercase       ,			lowercase       ,			lowercase					)  ->    Optional[int]:
		'''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.
		UpperCamelCase            =	[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  A			(   lowercase       ,			lowercase					)  ->    Tuple:
		'''simple docstring'''

		UpperCamelCase            =	sql_query['agg']
		if aggregation_op_index >= 3:
				UpperCamelCase            =	_Aggregation(lowercase					)
		else:
				UpperCamelCase            =	_Aggregation.NONE

		UpperCamelCase            =	sql_query['sel']
		UpperCamelCase            =	[
		    _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']					)
		]

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

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

		return indices, aggregation_op


def  A			(   lowercase       ,			lowercase       ,			lowercase					)  ->    List[str]:
		'''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  A			(   lowercase       ,			lowercase					)  ->    List:
		'''simple docstring'''

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


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCAmelCase   :					int    =			{"configuration_levit": ["LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LevitConfig", "LevitOnnxConfig"]}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase   :					Optional[Any]    =			["LevitFeatureExtractor"]
					_UpperCAmelCase   :					Optional[int]    =			["LevitImageProcessor"]

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_UpperCAmelCase   :					Optional[int]    =			[
					    "LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
					    "LevitForImageClassification",
					    "LevitForImageClassificationWithTeacher",
					    "LevitModel",
					    "LevitPreTrainedModel",
					]


if TYPE_CHECKING:
					from .configuration_levit import LEVIT_PRETRAINED_CONFIG_ARCHIVE_MAP, LevitConfig, LevitOnnxConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_levit import LevitFeatureExtractor
										from .image_processing_levit import LevitImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_levit import (
										    LEVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LevitForImageClassification,
										    LevitForImageClassificationWithTeacher,
										    LevitModel,
										    LevitPreTrainedModel,
										)
else:
					import sys

					_UpperCAmelCase   :					Optional[Any]    =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
