




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

				return max_revue




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




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):


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

								__magic_name__	:	Optional[int]								=max_revenue

				return max_rev[n]




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				_enforce_args(_lowerCamelCase	,     _lowerCamelCase   )

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

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

								__magic_name__	:	str								=max_revenue_i

				return max_rev[n]




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):


				if n < 0:
								__magic_name__	:	Union[str, Any]								=F"n must be greater than or equal to 0. Got n = {n}"
								raise ValueError(_lowerCamelCase   )

				if n > len(_lowerCamelCase   ):
								__magic_name__	:	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 		lowerCAmelCase_   (	):
				__magic_name__	:	List[str]								=[6, 10, 12, 15, 20, 23]
				__magic_name__	:	Union[str, 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.
				__magic_name__	:	Optional[Any]								=36

				__magic_name__	:	Tuple								=top_down_cut_rod(_lowerCamelCase	,     _lowerCamelCase   )
				__magic_name__	:	Dict								=bottom_up_cut_rod(_lowerCamelCase	,     _lowerCamelCase   )
				__magic_name__	:	Optional[int]								=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()










import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin




class 		__A      (			UpperCamelCase__					,						unittest.TestCase			):
						UpperCamelCase     						=					BlenderbotSmallTokenizer
						UpperCamelCase     						=					False

						def     A__						(		self   :Dict ):
										'''simple docstring'''

										super().setUp()

										__magic_name__	:	Tuple								=["""__start__""", """adapt""", """act""", """ap@@""", """te""", """__end__""", """__unk__"""]
										__magic_name__	:	Optional[Any]								=dict(zip(__snake_case    , range(len(__snake_case ) ) ) )

										__magic_name__	:	List[Any]								=["""#version: 0.2""", """a p""", """t e</w>""", """ap t</w>""", """a d""", """ad apt</w>""", """a c""", """ac t</w>""", """"""]
										__magic_name__	:	int								={"""unk_token""": """__unk__""", """bos_token""": """__start__""", """eos_token""": """__end__"""}

										__magic_name__	:	Dict								=os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES["""vocab_file"""] )
										__magic_name__	:	int								=os.path.join(self.tmpdirname    , VOCAB_FILES_NAMES["""merges_file"""] )
										with open(self.vocab_file    , """w"""    , encoding="""utf-8""" ) as fp:
														fp.write(json.dumps(__snake_case ) + """\n""" )
										with open(self.merges_file    , """w"""    , encoding="""utf-8""" ) as fp:
														fp.write("""\n""".join(__snake_case ) )

						def     A__						(		self   :Union[str, Any]    , **__snake_case   :Optional[int] ):
										'''simple docstring'''

										kwargs.update(self.special_tokens_map )
										return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname    , **__snake_case )

						def     A__						(		self   :str    , __snake_case   :List[Any] ):
										'''simple docstring'''

										__magic_name__	:	Any								="""adapt act apte"""
										__magic_name__	:	str								="""adapt act apte"""
										return input_text, output_text

						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	Tuple								=BlenderbotSmallTokenizer(self.vocab_file    , self.merges_file    , **self.special_tokens_map )
										__magic_name__	:	List[str]								="""adapt act apte"""
										__magic_name__	:	Optional[int]								=["""adapt""", """act""", """ap@@""", """te"""]
										__magic_name__	:	List[Any]								=tokenizer.tokenize(__snake_case )
										self.assertListEqual(__snake_case    , __snake_case )

										__magic_name__	:	int								=[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

										__magic_name__	:	Any								=[0, 1, 2, 3, 4, 5]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(__snake_case )    , __snake_case )

						def     A__						(		self   :Optional[int] ):
										'''simple docstring'''

										__magic_name__	:	Any								=BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M""" )
										assert tok("""sam""" ).input_ids == [13_84]
										__magic_name__	:	Tuple								="""I am a small frog."""
										__magic_name__	:	Tuple								=tok([src_text]    , padding=__snake_case    , truncation=__snake_case )["""input_ids"""]
										__magic_name__	:	Optional[Any]								=tok.batch_decode(__snake_case    , skip_special_tokens=__snake_case    , clean_up_tokenization_spaces=__snake_case )[0]
										assert src_text != decoded  # I wish it did!
										assert decoded == "i am a small frog ."


						def     A__						(		self   :Optional[Any] ):
										'''simple docstring'''

										__magic_name__	:	List[Any]								=BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M""" )
										__magic_name__	:	int								="""I am a small frog ."""
										__magic_name__	:	List[Any]								="""."""
										__magic_name__	:	List[str]								=tok(__snake_case )["""input_ids"""]
										__magic_name__	:	List[str]								=tok(__snake_case )["""input_ids"""]

										assert encoded[-1] == encoded_dot[0]




