

import functools
from math import sqrt
from time import time






def  UpperCamelCase_(							_snake_case     :						Union[str, Any] ,  *_snake_case     :						Union[str, Any] ,  **_snake_case     :						List[str]			):




			"""simple docstring"""






			__a						   =time()
			__a						   =func(*_snake_case ,  **_snake_case			)
			__a						   =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  UpperCamelCase_(							_snake_case     :						int			):




			"""simple docstring"""






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






def  UpperCamelCase_(							_snake_case     :						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  UpperCamelCase_(							_snake_case     :						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  UpperCamelCase_(							_snake_case     :						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.
			__a						   ={0: 0, 1: 1, 2: 1}  # Prefilled cache

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

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

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






def  UpperCamelCase_(							_snake_case     :						int			):




			"""simple docstring"""






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


if __name__ == "__main__":
						_lowerCAmelCase      :    str						       =    30
						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 Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


_lowerCAmelCase      :    List[Any]						       =    [
    "AutomaticSpeechRecognition",
    "AudioClassification",
    "ImageClassification",
    "LanguageModeling",
    "QuestionAnsweringExtractive",
    "Summarization",
    "TaskTemplate",
    "TextClassification",
]

_lowerCAmelCase      :    List[str]						       =    get_logger(__name__)


_lowerCAmelCase      :    Tuple						       =    {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}






def  UpperCamelCase_(							_snake_case     :						dict			):




			"""simple docstring"""






			__a						   =task_template_dict.get('task'			)
			if task_name is None:
						logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(_snake_case			)}'			)
						return None
			__a						   =NAMEaTEMPLATE.get(_snake_case			)
			return template.from_dict(_snake_case			)






