
import functools
from math import sqrt
from time import time




def 						A_			(				snake_case				: str			,   *snake_case				: Union[str, Any]			,   **snake_case				: int			)   ->     List[Any]:



						'''simple docstring'''

						__UpperCamelCase  	=      time()
						__UpperCamelCase  	=      func(*snake_case			,   **snake_case			)
						__UpperCamelCase  	=      time()
						if int(end - start			) > 0:
												print(f"{func.__name__} runtime: {(end - start):0.4f} s"			)
						else:
												print(f"{func.__name__} runtime: {(end - start) * 1000:0.4f} ms"			)
						return output




def 						A_			(				snake_case				: int			)   ->     list[int]:



						'''simple docstring'''

						if n < 0:
												raise Exception('''n is negative'''			)
						if n == 0:
												return [0]
						__UpperCamelCase  	=      [0, 1]
						for _ in range(n - 1			):
												fib.append(fib[-1] + fib[-2]			)
						return fib




def 						A_			(				snake_case				: int			)   ->     list[int]:



						'''simple docstring'''

						def fib_recursive_term(snake_case				: int			) -> int:
												if i < 0:
																		raise Exception('''n is negative'''			)
												if i < 2:
																		return i
												return fib_recursive_term(i - 1			) + fib_recursive_term(i - 2			)

						if n < 0:
												raise Exception('''n is negative'''			)
						return [fib_recursive_term(snake_case			) for i in range(n + 1			)]




def 						A_			(				snake_case				: int			)   ->     list[int]:



						'''simple docstring'''

						@functools.cache
						def fib_recursive_term(snake_case				: int			) -> int:
												if i < 0:
																		raise Exception('''n is negative'''			)
												if i < 2:
																		return i
												return fib_recursive_term(i - 1			) + fib_recursive_term(i - 2			)

						if n < 0:
												raise Exception('''n is negative'''			)
						return [fib_recursive_term(snake_case			) for i in range(n + 1			)]




def 						A_			(				snake_case				: int			)   ->     list[int]:



						'''simple docstring'''

						if n < 0:
												raise Exception('''n is negative'''			)
						# Cache must be outside recursuive function
						# other it will reset every time it calls itself.
						__UpperCamelCase  	=      {0: 0, 1: 1, 2: 1}  # Prefilled cache

						def rec_fn_memoized(snake_case				: int			) -> int:
												if num in cache:
																		return cache[num]

												__UpperCamelCase  	=      rec_fn_memoized(num - 1			) + rec_fn_memoized(num - 2			)
												__UpperCamelCase  	=      value
												return value

						return [rec_fn_memoized(snake_case			) for i in range(n + 1			)]




def 						A_			(				snake_case				: int			)   ->     list[int]:



						'''simple docstring'''

						if n < 0:
												raise Exception('''n is negative'''			)
						if n >= 1475:
												raise Exception('''n is too large'''			)
						__UpperCamelCase  	=      sqrt(5			)
						__UpperCamelCase  	=      (1 + sqrt_a) / 2
						return [round(phi**i / sqrt_a			) for i in range(n + 1			)]


if __name__ == "__main__":
				lowercase__				:				Optional[Any]						=      3_0
				time_func(fib_iterative, num)
				time_func(fib_recursive, num)  # Around 3s runtime
				time_func(fib_recursive_cached, num)  # Around 0ms runtime
				time_func(fib_memoization, num)
				time_func(fib_binet, num)






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase__				:				Dict						=      {
    "configuration_switch_transformers": [
        "SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "SwitchTransformersConfig",
        "SwitchTransformersOnnxConfig",
    ]
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase__				:				List[Any]						=      [
				    "SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "SwitchTransformersEncoderModel",
				    "SwitchTransformersForConditionalGeneration",
				    "SwitchTransformersModel",
				    "SwitchTransformersPreTrainedModel",
				    "SwitchTransformersTop1Router",
				    "SwitchTransformersSparseMLP",
				]


if TYPE_CHECKING:
				from .configuration_switch_transformers import (
				    SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    SwitchTransformersConfig,
				    SwitchTransformersOnnxConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_switch_transformers import (
								    SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
								    SwitchTransformersEncoderModel,
								    SwitchTransformersForConditionalGeneration,
								    SwitchTransformersModel,
								    SwitchTransformersPreTrainedModel,
								    SwitchTransformersSparseMLP,
								    SwitchTransformersTopaRouter,
								)


else:
				import sys

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




