


import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class    UpperCAmelCase					(       UpperCamelCase_      , unittest.TestCase    ):
   lowercase						= PhobertTokenizer
   lowercase						= False




   def   lowerCamelCase_					(						self							:		Optional[Any]						):







      """simple docstring"""







      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      UpperCamelCase         =					['''T@@''', '''i''', '''I''', '''R@@''', '''r''', '''e@@''']
      UpperCamelCase         =					dict(zip(UpperCamelCase__       ,       range(len(UpperCamelCase__						)						)						)						)
      UpperCamelCase         =					['''#version: 0.2''', '''l à</w>''']
      UpperCamelCase         =					{'''unk_token''': '''<unk>'''}

      UpperCamelCase         =					os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES["""vocab_file"""]						)
      UpperCamelCase         =					os.path.join(self.tmpdirname       ,       VOCAB_FILES_NAMES["""merges_file"""]						)

      with open(self.vocab_file       ,       """w"""       ,       encoding="""utf-8"""						) as fp:
         for token in vocab_tokens:
            fp.write(F'{token} {vocab_tokens[token]}\n'						)
      with open(self.merges_file       ,       """w"""       ,       encoding="""utf-8"""						) as fp:
         fp.write("""\n""".join(UpperCamelCase__						)						)




   def   lowerCamelCase_					(						self							:		List[Any]       ,       **__magic_name__							:		str						):







      """simple docstring"""







      kwargs.update(self.special_tokens_map						)
      return PhobertTokenizer.from_pretrained(self.tmpdirname       ,       **UpperCamelCase__						)




   def   lowerCamelCase_					(						self							:		Optional[int]       ,       __magic_name__							:		Optional[int]						):







      """simple docstring"""







      UpperCamelCase         =					'''Tôi là VinAI Research'''
      UpperCamelCase         =					'''T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
      return input_text, output_text





   def   lowerCamelCase_					(						self							:		Dict						):







      """simple docstring"""







      UpperCamelCase         =					PhobertTokenizer(self.vocab_file       ,       self.merges_file       ,       **self.special_tokens_map						)
      UpperCamelCase         =					'''Tôi là VinAI Research'''
      UpperCamelCase         =					'''T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
      UpperCamelCase         =					tokenizer.tokenize(UpperCamelCase__						)
      print(UpperCamelCase__						)
      self.assertListEqual(UpperCamelCase__       ,       UpperCamelCase__						)

      UpperCamelCase         =					tokens + [tokenizer.unk_token]

      UpperCamelCase         =					[4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__						)       ,       UpperCamelCase__						)








import math






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




			UpperCamelCase         =					[True] * n
			UpperCamelCase         =					False
			UpperCamelCase         =					False
			UpperCamelCase         =					True

			for i in range(3       ,  int(n**0.5 + 1	)       ,  2	):
						UpperCamelCase         =					i * 2
						while index < n:
									UpperCamelCase         =					False
									UpperCamelCase         =					index + i

			UpperCamelCase         =					[2]

			for i in range(3       ,  SCREAMING_SNAKE_CASE_       ,  2	):
						if is_prime[i]:
									primes.append(SCREAMING_SNAKE_CASE_	)

			return primes






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int = 999_966_663_333	):





			"""simple docstring"""




			UpperCamelCase         =					math.floor(math.sqrt(SCREAMING_SNAKE_CASE_	)	) + 100
			UpperCamelCase         =					prime_sieve(SCREAMING_SNAKE_CASE_	)

			UpperCamelCase         =					0
			UpperCamelCase         =					0
			UpperCamelCase         =					primes[prime_index]

			while (last_prime**2) <= limit:
						UpperCamelCase         =					primes[prime_index + 1]

						UpperCamelCase         =					last_prime**2
						UpperCamelCase         =					next_prime**2

						# Get numbers divisible by lps(current)
						UpperCamelCase         =					lower_bound + last_prime
						while upper_bound > current <= limit:
									matches_sum += current
									current += last_prime

						# Reset the upper_bound
						while (upper_bound - next_prime) > limit:
									upper_bound -= next_prime

						# Add the numbers divisible by ups(current)
						UpperCamelCase         =					upper_bound - next_prime
						while current > lower_bound:
									matches_sum += current
									current -= next_prime

						# Remove the numbers divisible by both ups and lps
						UpperCamelCase         =					0
						while upper_bound > current <= limit:
									if current <= lower_bound:
												# Increment the current number
												current += last_prime * next_prime
												continue

									if current > limit:
												break

									# Remove twice since it was added by both ups and lps
									matches_sum -= current * 2

									# Increment the current number
									current += last_prime * next_prime

						# Setup for next pair
						UpperCamelCase         =					next_prime
						prime_index += 1

			return matches_sum


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




