






from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


lowercase  							=					{"configuration_gpt_neox": ["GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP", "GPTNeoXConfig"]}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							=					["GPTNeoXTokenizerFast"]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowercase  							=					[
	    "GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST",
	    "GPTNeoXForCausalLM",
	    "GPTNeoXForQuestionAnswering",
	    "GPTNeoXForSequenceClassification",
	    "GPTNeoXForTokenClassification",
	    "GPTNeoXLayer",
	    "GPTNeoXModel",
	    "GPTNeoXPreTrainedModel",
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox import (
		    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXForCausalLM,
		    GPTNeoXForQuestionAnswering,
		    GPTNeoXForSequenceClassification,
		    GPTNeoXForTokenClassification,
		    GPTNeoXLayer,
		    GPTNeoXModel,
		    GPTNeoXPreTrainedModel,
		)


else:
	import sys

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













class  UpperCamelCase_      :



	'''simple docstring'''




	def __init__(       self       ,			a					)       ->    None:
								snake_case_				=							set_counts
								snake_case_				=							max(a					)
								snake_case_				=							len(a					)
								snake_case_				=							[1] * num_sets
								snake_case_				=							list(range(a					)					)




	def 							_UpperCamelCase			(       self       ,			a       ,			a					)       ->    bool:
								snake_case_				=							self.get_parent(a					)
								snake_case_				=							self.get_parent(a					)

								if src_parent == dst_parent:
															return False

								if self.ranks[dst_parent] >= self.ranks[src_parent]:
															self.set_counts[dst_parent] += self.set_counts[src_parent]
															snake_case_				=							0
															snake_case_				=							dst_parent
															if self.ranks[dst_parent] == self.ranks[src_parent]:
																						self.ranks[dst_parent] += 1
															snake_case_				=							self.set_counts[dst_parent]
								else:
															self.set_counts[src_parent] += self.set_counts[dst_parent]
															snake_case_				=							0
															snake_case_				=							src_parent
															snake_case_				=							self.set_counts[src_parent]

								snake_case_				=							max(self.max_set       ,			a					)
								return True






	def 							_UpperCamelCase			(       self       ,			a					)       ->    int:
								if self.parents[disj_set] == disj_set:
															return disj_set
								snake_case_				=							self.get_parent(self.parents[disj_set]					)
								return self.parents[disj_set]





