




"""simple docstring"""

from ctypes import c_float, sizeof
from enum import Enum
from typing import TYPE_CHECKING, Optional, Union


if TYPE_CHECKING:
		from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

class 							lowercase   (     __UpperCAmelCase):
				__lowerCAmelCase     :     Any								= c_float







				@property
				def        a_	(				self :       Any							):



					"""simple docstring"""

					return sizeof(self.value							)

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase	,   _UpperCAmelCase = 0						):




	"""simple docstring"""






	if dimension <= 0:
		A_	:					Dict						 =		fixed_dimension

	dimension -= num_token_to_add
	return dimension

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase						):




	"""simple docstring"""






	return num_parameters * dtype.size

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	from .. import AutoFeatureExtractor, AutoProcessor, AutoTokenizer  # tests_ignore

	try:
		return AutoProcessor.from_pretrained(_UpperCAmelCase						)
	except (ValueError, OSError, KeyError):
		A_ ,			A_	:					int						 =		None, None
		try:
			A_	:					str						 =		AutoTokenizer.from_pretrained(_UpperCAmelCase						)
		except (OSError, KeyError):
			pass
		try:
			A_	:					int						 =		AutoFeatureExtractor.from_pretrained(_UpperCAmelCase						)
		except (OSError, KeyError):
			pass

		if tokenizer is not None and feature_extractor is not None:
			raise ValueError(
			    f"""Couldn't auto-detect preprocessor for {model_name}. Found both a tokenizer and a feature extractor."""						)
		elif tokenizer is None and feature_extractor is None:
			return None
		elif tokenizer is not None:
			return tokenizer
		else:
			return feature_extractor











"""simple docstring"""

class 							lowercase   :







				def __init__(				self :       Union[str, Any]   ,  _lowerCamelCase :       int							):



					"""simple docstring"""

					A_	:					Optional[int]						 =		data
					A_	:					int
					A_	:					Node

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	A_	:					List[str]						 =		0
	A_	:					List[str]						 =		x

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase						):




	"""simple docstring"""






	A_ ,			A_	:					Any						 =		find_set(_UpperCAmelCase						), find_set(_UpperCAmelCase						)
	if x == y:
		return

	elif x.rank > y.rank:
		A_	:					Optional[int]						 =		x
	else:
		A_	:					Optional[int]						 =		y
		if x.rank == y.rank:
			y.rank += 1

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	if x != x.parent:
		A_	:					Union[str, Any]						 =		find_set(x.parent						)
	return x.parent

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	A_	:					str						 =		({0, 1, 2}, {3, 4, 5})
	for s in sets:
		if node.data in s:
			return s
	A_	:					Optional[int]						 =		f"""{node.data} is not in {sets}"""
	raise ValueError(_UpperCAmelCase						)

def 		lowercase_   (		):




	"""simple docstring"""






	A_	:					Dict						 =		[Node(_UpperCAmelCase						) for i in range(6						)]
	for v in vertex:
		make_set(_UpperCAmelCase						)

	union_set(vertex[0]	,   vertex[1]						)
	union_set(vertex[1]	,   vertex[2]						)
	union_set(vertex[3]	,   vertex[4]						)
	union_set(vertex[3]	,   vertex[5]						)

	for nodea in vertex:
		for nodea in vertex:
			if find_python_set(_UpperCAmelCase						).isdisjoint(find_python_set(_UpperCAmelCase						)						):
				assert find_set(_UpperCAmelCase						) != find_set(_UpperCAmelCase						)
			else:
				assert find_set(_UpperCAmelCase						) == find_set(_UpperCAmelCase						)


if __name__ == "__main__":
		test_disjoint_set()





