

from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
lowerCAmelCase							:  str            =						10







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   ):
						for i in range(_UpperCAmelCase    ,     _UpperCAmelCase   ):
												if array[i] == target:
																		return i
						return -1







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	0
						SCREAMING_SNAKE_CASE_:			str  		=	len(_UpperCAmelCase   )
						while left <= right:
												if right - left < precision:
																		return lin_search(_UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   )

												SCREAMING_SNAKE_CASE_:			Dict  		=	(left + right) // 3 + 1
												SCREAMING_SNAKE_CASE_:			str  		=	2 * (left + right) // 3 + 1

												if array[one_third] == target:
																		return one_third
												elif array[two_third] == target:
																		return two_third

												elif target < array[one_third]:
																		SCREAMING_SNAKE_CASE_:			str  		=	one_third - 1
												elif array[two_third] < target:
																		SCREAMING_SNAKE_CASE_:			Any  		=	two_third + 1

												else:
																		SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	one_third + 1
																		SCREAMING_SNAKE_CASE_:			Dict  		=	two_third - 1
						else:
												return -1







def       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   ):
						if left < right:
												if right - left < precision:
																		return lin_search(_UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   )
												SCREAMING_SNAKE_CASE_:			List[Any]  		=	(left + right) // 3 + 1
												SCREAMING_SNAKE_CASE_:			str  		=	2 * (left + right) // 3 + 1

												if array[one_third] == target:
																		return one_third
												elif array[two_third] == target:
																		return two_third

												elif target < array[one_third]:
																		return rec_ternary_search(_UpperCAmelCase    ,     one_third - 1    ,     _UpperCAmelCase    ,     _UpperCAmelCase   )
												elif array[two_third] < target:
																		return rec_ternary_search(two_third + 1    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase   )
												else:
																		return rec_ternary_search(one_third + 1    ,     two_third - 1    ,     _UpperCAmelCase    ,     _UpperCAmelCase   )
						else:
												return -1


if __name__ == "__main__":
						import doctest

						doctest.testmod()

						lowerCAmelCase							:  List[Any]            =						input("""Enter numbers separated by comma:\n""").strip()
						lowerCAmelCase							:  str            =						[int(item.strip()) for item in user_input.split(""",""")]
						assert collection == sorted(collection), f"List must be ordered.\n{collection}."
						lowerCAmelCase							:  Tuple            =						int(input("""Enter the number to be found in the list:\n""").strip())
						lowerCAmelCase							:  Union[str, Any]            =						ite_ternary_search(collection, target)
						lowerCAmelCase							:  Union[str, Any]            =						rec_ternary_search(0, len(collection) - 1, collection, target)
						if resulta != -1:
												print(f'''Iterative search: {target} found at positions: {resulta}''')
												print(f'''Recursive search: {target} found at positions: {resulta}''')
						else:
												print("""Not found""")









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase							:  Optional[int]            =						{
    """configuration_nllb_moe""": [
        """NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """NllbMoeConfig""",
    ]
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:  Optional[int]            =						[
						    """NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """NllbMoeForConditionalGeneration""",
						    """NllbMoeModel""",
						    """NllbMoePreTrainedModel""",
						    """NllbMoeTop2Router""",
						    """NllbMoeSparseMLP""",
						]


if TYPE_CHECKING:
						from .configuration_nllb_moe import (
						    NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    NllbMoeConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_nllb_moe import (
												    NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
												    NllbMoeForConditionalGeneration,
												    NllbMoeModel,
												    NllbMoePreTrainedModel,
												    NllbMoeSparseMLP,
												    NllbMoeTopaRouter,
												)


else:
						import sys

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






