
def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    int		,						_lowerCamelCase				:    list)      ->					Optional[Any]:






							'''simple docstring'''





							_enforce_args(_lowerCamelCase		,						_lowerCamelCase)
							if n == 0:
														return 0
							__UpperCamelCase			:     Dict         =      float("-inf")
							for i in range(1		,						n + 1):
														__UpperCamelCase			:     str         =      max(
														    _lowerCamelCase		,						prices[i - 1] + naive_cut_rod_recursive(n - i		,						_lowerCamelCase))

							return max_revue




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    int		,						_lowerCamelCase				:    list)      ->					int:






							'''simple docstring'''





							_enforce_args(_lowerCamelCase		,						_lowerCamelCase)
							__UpperCamelCase			:     Any         =      [float("-inf") for _ in range(n + 1)]
							return _top_down_cut_rod_recursive(_lowerCamelCase		,						_lowerCamelCase		,						_lowerCamelCase)




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    int		,						_lowerCamelCase				:    list		,						_lowerCamelCase				:    list)      ->					Optional[Any]:






							'''simple docstring'''





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

														__UpperCamelCase			:     Any         =      max_revenue

							return max_rev[n]




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    int		,						_lowerCamelCase				:    list)      ->					Any:






							'''simple docstring'''





							_enforce_args(_lowerCamelCase		,						_lowerCamelCase)

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

							for i in range(1		,						n + 1):
														__UpperCamelCase			:     Dict         =      max_rev[i]
														for j in range(1		,						i + 1):
																					__UpperCamelCase			:     str         =      max(_lowerCamelCase		,						prices[j - 1] + max_rev[i - j])

														__UpperCamelCase			:     Dict         =      max_revenue_i

							return max_rev[n]




def 			_SCREAMING_SNAKE_CASE      (	_lowerCamelCase				:    int		,						_lowerCamelCase				:    list)      ->					Any:






							'''simple docstring'''





							if n < 0:
														__UpperCamelCase			:     Dict         =      F'n must be greater than or equal to 0. Got n = {n}'
														raise ValueError(_lowerCamelCase)

							if n > len(_lowerCamelCase):
														__UpperCamelCase			:     List[Any]         =      (
														    "Each integral piece of rod must have a corresponding price. "
														    F'Got n = {n} but length of prices = {len(_lowerCamelCase)}'
														)
														raise ValueError(_lowerCamelCase)




def 			_SCREAMING_SNAKE_CASE      (	)      ->					Any:






							'''simple docstring'''





							__UpperCamelCase			:     List[Any]         =      [6, 10, 12, 15, 20, 23]
							__UpperCamelCase			:     Optional[Any]         =      len(_lowerCamelCase)

							# 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			:     Dict         =      top_down_cut_rod(_lowerCamelCase		,						_lowerCamelCase)
							__UpperCamelCase			:     int         =      bottom_up_cut_rod(_lowerCamelCase		,						_lowerCamelCase)
							__UpperCamelCase			:     Union[str, Any]         =      naive_cut_rod_recursive(_lowerCamelCase		,						_lowerCamelCase)

							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 TYPE_CHECKING

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


lowercase						:      str									= {
    'configuration_vision_encoder_decoder': ['VisionEncoderDecoderConfig', 'VisionEncoderDecoderOnnxConfig']
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      str									= ['VisionEncoderDecoderModel']

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      List[Any]									= ['TFVisionEncoderDecoderModel']

try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase						:      int									= ['FlaxVisionEncoderDecoderModel']

if TYPE_CHECKING:
		from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
		import sys

		lowercase						:      Dict									= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)