





'''simple docstring'''

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       UpperCAmelCase (						_lowercase			,       unittest.TestCase  ):
		UpperCAmelCase					:	str 			=		BlenderbotSmallTokenizer
		UpperCAmelCase					:	Tuple 			=		False




		def 				UpperCAmelCase__   (self      :	Optional[int]				)					-> List[str]:
						super().setUp()

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

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

						lowercase         = os.path.join(self.tmpdirname							,			VOCAB_FILES_NAMES["vocab_file"]				)
						lowercase         = 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 				UpperCAmelCase__   (self      :	List[str]							,			**A__      :	str				)					-> List[Any]:
						kwargs.update(self.special_tokens_map				)
						return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname							,			**A__				)




		def 				UpperCAmelCase__   (self      :	Tuple							,			A__      :	List[Any]				)					-> List[Any]:
						lowercase         = "adapt act apte"
						lowercase         = "adapt act apte"
						return input_text, output_text




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Optional[Any]:
						lowercase         = BlenderbotSmallTokenizer(self.vocab_file							,			self.merges_file							,			**self.special_tokens_map				)
						lowercase         = "adapt act apte"
						lowercase         = ["adapt", "act", "ap@@", "te"]
						lowercase         = tokenizer.tokenize(A__				)
						self.assertListEqual(A__							,			A__				)

						lowercase         = [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

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




		def 				UpperCAmelCase__   (self      :	List[Any]				)					-> Union[str, Any]:
						lowercase         = BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"				)
						assert tok("sam"				).input_ids == [1_3_8_4]
						lowercase         = "I am a small frog."
						lowercase         = tok([src_text]							,			padding=A__							,			truncation=A__				)["input_ids"]
						lowercase         = 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 				UpperCAmelCase__   (self      :	Optional[int]				)					-> List[str]:
						lowercase         = BlenderbotSmallTokenizer.from_pretrained("facebook/blenderbot-90M"				)
						lowercase         = "I am a small frog ."
						lowercase         = "."
						lowercase         = tok(A__				)["input_ids"]
						lowercase         = tok(A__				)["input_ids"]

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







'''simple docstring'''

from functools import lru_cache







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = 2
				lowercase         = set()
				while i * i <= n:
								if n % i:
												i += 1
								else:
												n //= i
												factors.add(lowerCAmelCase_							)
				if n > 1:
								factors.add(lowerCAmelCase_							)
				return factors







@lru_cache
def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return len(unique_prime_factors(lowerCAmelCase_							)							)







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				return len(set(lowerCAmelCase_							)							) in (0, 1)







def 							UpperCAmelCase_    (	lowerCAmelCase_							):

				"""simple docstring"""






				lowercase         = 2

				while True:
								# Increment each value of a generated range
								lowercase         = [base + i for i in range(lowerCAmelCase_							)]

								# Run elements through out unique_prime_factors function
								# Append our target number to the end.
								lowercase         = [upf_len(lowerCAmelCase_							) for x in group]
								checker.append(lowerCAmelCase_							)

								# If all numbers in the list are equal, return the group variable.
								if equality(lowerCAmelCase_							):
												return group

								# Increment our base variable by 1
								base += 1







def 							UpperCAmelCase_    (	lowerCAmelCase_ = 4							):

				"""simple docstring"""






				lowercase         = run(lowerCAmelCase_							)
				return results[0] if len(lowerCAmelCase_							) else None


if __name__ == "__main__":
			print(solution())




