






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     _SCREAMING_SNAKE_CASE       (			SCREAMING_SNAKE_CASE__		,   unittest.TestCase      ):
	snake_case__							:     Any     	=  BlenderbotSmallTokenizer
	snake_case__							:     str     	=  False





	def 						_A (		self				:					Any	):
		super().setUp()

		UpperCamelCase     :int          =	["""__start__""", """adapt""", """act""", """ap@@""", """te""", """__end__""", """__unk__"""]
		UpperCamelCase     :Any          =	dict(zip(A__ ,  range(len(A__	)	)	)	)

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

		UpperCamelCase     :Any          =	os.path.join(self.tmpdirname ,  VOCAB_FILES_NAMES["""vocab_file"""]	)
		UpperCamelCase     :str          =	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(A__	) + """\n"""	)
		with open(self.merges_file ,  """w""" ,  encoding="""utf-8"""	) as fp:
			fp.write("""\n""".join(A__	)	)





	def 						_A (		self				:					Optional[Any] ,  **__lowerCamelCase				:					Tuple	):
		kwargs.update(self.special_tokens_map	)
		return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname ,  **A__	)





	def 						_A (		self				:					Union[str, Any] ,  __lowerCamelCase				:					Optional[int]	):
		UpperCamelCase     :Optional[int]          =	"""adapt act apte"""
		UpperCamelCase     :str          =	"""adapt act apte"""
		return input_text, output_text





	def 						_A (		self				:					str	):
		UpperCamelCase     :str          =	BlenderbotSmallTokenizer(self.vocab_file ,  self.merges_file ,  **self.special_tokens_map	)
		UpperCamelCase     :Dict          =	"""adapt act apte"""
		UpperCamelCase     :List[Any]          =	["""adapt""", """act""", """ap@@""", """te"""]
		UpperCamelCase     :Union[str, Any]          =	tokenizer.tokenize(A__	)
		self.assertListEqual(A__ ,  A__	)

		UpperCamelCase     :Optional[int]          =	[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

		UpperCamelCase     :str          =	[0, 1, 2, 3, 4, 5]
		self.assertListEqual(tokenizer.convert_tokens_to_ids(A__	) ,  A__	)





	def 						_A (		self				:					Any	):
		UpperCamelCase     :Optional[Any]          =	BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""	)
		assert tok("""sam"""	).input_ids == [1_384]
		UpperCamelCase     :Optional[int]          =	"""I am a small frog."""
		UpperCamelCase     :List[Any]          =	tok([src_text] ,  padding=A__ ,  truncation=A__	)["""input_ids"""]
		UpperCamelCase     :Any          =	tok.batch_decode(A__ ,  skip_special_tokens=A__ ,  clean_up_tokenization_spaces=A__	)[0]
		assert src_text != decoded  # I wish it did!
		assert decoded == "i am a small frog ."





	def 						_A (		self				:					Union[str, Any]	):
		UpperCamelCase     :Union[str, Any]          =	BlenderbotSmallTokenizer.from_pretrained("""facebook/blenderbot-90M"""	)
		UpperCamelCase     :str          =	"""I am a small frog ."""
		UpperCamelCase     :str          =	"""."""
		UpperCamelCase     :Tuple          =	tok(A__	)["""input_ids"""]
		UpperCamelCase     :str          =	tok(A__	)["""input_ids"""]

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


def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''

					if edge <= 0 or not isinstance(lowerCAmelCase__ ,			lowerCAmelCase__		):
										raise ValueError('''Length must be a positive.'''		)
					return 3 * ((25 + 10 * (5 ** (1 / 2))) ** (1 / 2)) * (edge**2)



def        UpperCamelCase    (							lowerCAmelCase__		):
					'''simple docstring'''

					if edge <= 0 or not isinstance(lowerCAmelCase__ ,			lowerCAmelCase__		):
										raise ValueError('''Length must be a positive.'''		)
					return ((15 + (7 * (5 ** (1 / 2)))) / 4) * (edge**3)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




