



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_	       =   "none"
UpperCamelCase_	       =   "none"







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase	)       ->       Tuple:



						'''simple docstring'''






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







def 				A			(		__UpperCAmelCase	)       ->       Union[str, Any]:



						'''simple docstring'''






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







def 				A			(		__UpperCAmelCase	)       ->       List[Any]:



						'''simple docstring'''






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


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







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







class 							a_  (		enum.Enum				):
						UpperCamelCase__      :						Optional[int]				       =0
						UpperCamelCase__      :						Optional[Any]				       =1
						UpperCamelCase__      :						Any				       =2







@dataclasses.dataclass
class 							a_  :
						UpperCamelCase__      :						Text
						UpperCamelCase__      :						_Operator
						UpperCamelCase__      :						Any

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







def 				A			(		__UpperCAmelCase	)       ->       Any:



						'''simple docstring'''






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







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase	)       ->       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 				A			(		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase	)       ->       Tuple:



						'''simple docstring'''






						UpperCAmelCase_     							=     table['''types''']
						return _TYPE_CONVERTER[types[column]](__UpperCAmelCase	)







def 				A			(		__UpperCAmelCase	)       ->       Optional[Any]:



						'''simple docstring'''






						return isinstance(__UpperCAmelCase							,					__UpperCAmelCase	)







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase	)       ->       int:



						'''simple docstring'''






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

												UpperCAmelCase_     							=     _parse_value(__UpperCAmelCase							,					cond.column							,					cond.cmp_value	)

												if _is_string(__UpperCAmelCase	) and _is_string(__UpperCAmelCase	):
																		UpperCAmelCase_     							=     _normalize_for_match(__UpperCAmelCase	)
																		UpperCAmelCase_     							=     _normalize_for_match(__UpperCAmelCase	)

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

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







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase	)       ->       Dict:



						'''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(__UpperCAmelCase	)	)

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

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







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase	)       ->       List[Any]:



						'''simple docstring'''






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

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

						if not indices:
												return [], aggregation_op

						if len(__UpperCAmelCase	) == 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(__UpperCAmelCase	)]
												UpperCAmelCase_     							=     functools.reduce(operators[sql_query['''agg''']]							,					__UpperCAmelCase	)

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

						return indices, aggregation_op







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase							,					__UpperCAmelCase	)       ->       Optional[Any]:



						'''simple docstring'''






						if float_answer is not None:
												return [str(__UpperCAmelCase	)]
						return [str(table['''real_rows'''][r][c]	) for r, c in answer_coordinates]







def 				A			(		__UpperCAmelCase							,					__UpperCAmelCase	)       ->       List:



						'''simple docstring'''






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










from typing import TYPE_CHECKING

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


UpperCamelCase_	       =   {"configuration_vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_	       =   [
							    "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "ViTHybridForImageClassification",
							    "ViTHybridModel",
							    "ViTHybridPreTrainedModel",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_	       =   ["ViTHybridImageProcessor"]


if TYPE_CHECKING:
							from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_hybrid import (
														    VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTHybridForImageClassification,
														    ViTHybridModel,
														    ViTHybridPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
							import sys

							UpperCamelCase_	       =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





