





def A_	(		A__		,      A__				)  ->		Union[str, Any]:
       # "extended trapezoidal rule"
       # int(f) = dx/2 * (f1 + 2f2 + ... + fn)
       a__						:	List[Any] =				(boundary[1] - boundary[0]) / steps
       a__						:	List[str] =				boundary[0]
       a__						:	int =				boundary[1]
       a__						:	Optional[int] =				make_points(__snake_case		,      __snake_case		,      __snake_case				)
       a__						:	str =				0.0
       y += (h / 2.0) * f(__snake_case				)
       for i in x_i:
              # print(i)
              y += h * f(__snake_case				)
       y += (h / 2.0) * f(__snake_case				)
       return y



def A_	(		A__		,      A__		,      A__				)  ->		List[str]:
       a__						:	Dict =				a + h
       while x < (b - h):
              yield x
              a__						:	Optional[int] =				x + h



def A_	(		A__				)  ->		Dict:  # enter your function here
       a__						:	Any =				(x - 0) * (x - 0)
       return y



def A_	(		)  ->		List[Any]:
       a__						:	int =				0.0  # Lower bound of integration
       a__						:	List[Any] =				1.0  # Upper bound of integration
       a__						:	List[Any] =				10.0  # define number of steps or resolution
       a__						:	List[Any] =				[a, b]  # define boundary of integration
       a__						:	Optional[Any] =				method_a(__snake_case		,      __snake_case				)
       print(F'y = {y}'				)


if __name__ == "__main__":
    main()










"""simple docstring"""



from typing import TYPE_CHECKING

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


__A		:       Union[str, Any]  				=		{}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''NllbTokenizer''']

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''NllbTokenizerFast''']


if TYPE_CHECKING:
						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_nllb import NllbTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_nllb_fast import NllbTokenizerFast

else:
						import sys

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



