






def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int	,			__magic_name__					:  list					)		->			int:






	"""simple docstring"""



	_enforce_args(__magic_name__	,			__magic_name__					)
	if n == 0:
		return 0
	UpperCamelCase     :List[Any]          =	float("""-inf"""					)
	for i in range(1	,			n + 1					):
		UpperCamelCase     :Optional[Any]          =	max(
		    __magic_name__	,			prices[i - 1] + naive_cut_rod_recursive(n - i	,			__magic_name__					)					)

	return max_revue

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int	,			__magic_name__					:  list					)		->			Union[str, Any]:






	"""simple docstring"""



	_enforce_args(__magic_name__	,			__magic_name__					)
	UpperCamelCase     :Tuple          =	[float("""-inf"""					) for _ in range(n + 1					)]
	return _top_down_cut_rod_recursive(__magic_name__	,			__magic_name__	,			__magic_name__					)

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int	,			__magic_name__					:  list	,			__magic_name__					:  list					)		->			Union[str, Any]:






	"""simple docstring"""



	if max_rev[n] >= 0:
		return max_rev[n]
	elif n == 0:
		return 0
	else:
		UpperCamelCase     :Optional[int]          =	float("""-inf"""					)
		for i in range(1	,			n + 1					):
			UpperCamelCase     :List[str]          =	max(
			    __magic_name__	,			prices[i - 1] + _top_down_cut_rod_recursive(n - i	,			__magic_name__	,			__magic_name__					)	,			)

		UpperCamelCase     :List[str]          =	max_revenue

	return max_rev[n]

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int	,			__magic_name__					:  list					)		->			str:






	"""simple docstring"""



	_enforce_args(__magic_name__	,			__magic_name__					)

	# length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
	# length 0.
	UpperCamelCase     :Tuple          =	[float("""-inf"""					) for _ in range(n + 1					)]
	UpperCamelCase     :Any          =	0

	for i in range(1	,			n + 1					):
		UpperCamelCase     :Tuple          =	max_rev[i]
		for j in range(1	,			i + 1					):
			UpperCamelCase     :Union[str, Any]          =	max(__magic_name__	,			prices[j - 1] + max_rev[i - j]					)

		UpperCamelCase     :Dict          =	max_revenue_i

	return max_rev[n]

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  int	,			__magic_name__					:  list					)		->			Optional[int]:






	"""simple docstring"""



	if n < 0:
		UpperCamelCase     :Tuple          =	f"""n must be greater than or equal to 0. Got n = {n}"""
		raise ValueError(__magic_name__					)

	if n > len(__magic_name__					):
		UpperCamelCase     :Optional[int]          =	(
		    """Each integral piece of rod must have a corresponding price. """
		    f"""Got n = {n} but length of prices = {len(__magic_name__					)}"""
		)
		raise ValueError(__magic_name__					)

def    SCREAMING_SNAKE_CASE_							(							)		->			Optional[int]:






	"""simple docstring"""



	UpperCamelCase     :Dict          =	[6, 10, 12, 15, 20, 23]
	UpperCamelCase     :Optional[Any]          =	len(__magic_name__					)

	# the best revenue comes from cutting the rod into 6 pieces, each
	# of length 1 resulting in a revenue of 6 * 6 = 36.
	UpperCamelCase     :Dict          =	36

	UpperCamelCase     :Optional[int]          =	top_down_cut_rod(__magic_name__	,			__magic_name__					)
	UpperCamelCase     :Any          =	bottom_up_cut_rod(__magic_name__	,			__magic_name__					)
	UpperCamelCase     :List[Any]          =	naive_cut_rod_recursive(__magic_name__	,			__magic_name__					)

	assert expected_max_revenue == max_rev_top_down
	assert max_rev_top_down == max_rev_bottom_up
	assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
	main()








from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream

class     _SCREAMING_SNAKE_CASE       (			_a      ):





	def __init__(		self				:					List[Any] ,  __lowerCamelCase				:					Callable ,  __lowerCamelCase				:					Optional[Features] = None ,  __lowerCamelCase				:					str = None ,  __lowerCamelCase				:					bool = False ,  __lowerCamelCase				:					bool = False ,  __lowerCamelCase				:					Optional[dict] = None ,  __lowerCamelCase				:					Optional[int] = None ,  **__lowerCamelCase				:					List[Any] ,  ):
		super().__init__(
		    features=__lowerCamelCase ,  cache_dir=__lowerCamelCase ,  keep_in_memory=__lowerCamelCase ,  streaming=__lowerCamelCase ,  num_proc=__lowerCamelCase ,  **__lowerCamelCase ,  )
		UpperCamelCase     :Union[str, Any]          =	Generator(
		    cache_dir=__lowerCamelCase ,  features=__lowerCamelCase ,  generator=__lowerCamelCase ,  gen_kwargs=__lowerCamelCase ,  **__lowerCamelCase ,  )





	def 						_A (		self				:					List[str]	):
		# Build iterable dataset
		if self.streaming:
			UpperCamelCase     :Any          =	self.builder.as_streaming_dataset(split="""train"""	)
		# Build regular (map-style) dataset
		else:
			UpperCamelCase     :Tuple          =	None
			UpperCamelCase     :Dict          =	None
			UpperCamelCase     :Dict          =	None
			UpperCamelCase     :List[str]          =	None

			self.builder.download_and_prepare(
			    download_config=__lowerCamelCase ,  download_mode=__lowerCamelCase ,  verification_mode=__lowerCamelCase ,  base_path=__lowerCamelCase ,  num_proc=self.num_proc ,  )
			UpperCamelCase     :Tuple          =	self.builder.as_dataset(
			    split="""train""" ,  verification_mode=__lowerCamelCase ,  in_memory=self.keep_in_memory	)
		return dataset
