





import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin

class  __A(						__UpperCAmelCase						,			unittest.TestCase ):
     __A	  =       XLMTokenizer
     __A	  =       False

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            _UpperCamelCase              =						[
                '''l''',
                '''o''',
                '''w''',
                '''e''',
                '''r''',
                '''s''',
                '''t''',
                '''i''',
                '''d''',
                '''n''',
                '''w</w>''',
                '''r</w>''',
                '''t</w>''',
                '''lo''',
                '''low''',
                '''er</w>''',
                '''low</w>''',
                '''lowest</w>''',
                '''newer</w>''',
                '''wider</w>''',
                '''<unk>''',
            ]
            _UpperCamelCase              =						dict(zip(A,       range(len(A      )      )      )      )
            _UpperCamelCase              =						['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

            _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'''      ) as fp:
                   fp.write(json.dumps(A      )      )
            with open(self.merges_file,       '''w'''      ) as fp:
                   fp.write('''\n'''.join(A      )      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						'''lower newer'''
            _UpperCamelCase              =						'''lower newer'''
            return input_text, output_text

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						XLMTokenizer(self.vocab_file,       self.merges_file      )

            _UpperCamelCase              =						'''lower'''
            _UpperCamelCase              =						['''low''', '''er</w>''']
            _UpperCamelCase              =						tokenizer.tokenize(A      )
            self.assertListEqual(A,       A      )

            _UpperCamelCase              =						tokens + ['''<unk>''']
            _UpperCamelCase              =						[14, 15, 20]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(A      ),       A      )



     @slow
     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''      )

            _UpperCamelCase              =						tokenizer.encode('''sequence builders''',       add_special_tokens=A      )
            _UpperCamelCase              =						tokenizer.encode('''multi-sequence build''',       add_special_tokens=A      )

            _UpperCamelCase              =						tokenizer.build_inputs_with_special_tokens(A      )
            _UpperCamelCase              =						tokenizer.build_inputs_with_special_tokens(A,       A      )

            assert encoded_sentence == [0] + text + [1]
            assert encoded_pair == [0] + text + [1] + text_a + [1]













from __future__ import annotations

import math


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase					):

       if 1 < number < 4:
              # 2 and 3 are primes
              return True
       elif number < 2 or number % 2 == 0 or number % 3 == 0:
              # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
              return False

       # All primes number are in format of 6k +/- 1
       for i in range(5    ,       int(math.sqrt(lowerCAmelCase					) + 1					)    ,       6					):
              if number % i == 0 or number % (i + 2) == 0:
                     return False
       return True


lowercase    : Tuple    	=  [num for num in range(3, 10_0001, 2) if not is_prime(num)]


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase					):
       if not isinstance(lowerCAmelCase    ,       lowerCAmelCase					):
              raise ValueError('''n must be an integer'''					)
       if n <= 0:
              raise ValueError('''n must be >= 0'''					)

       _UpperCamelCase              =						[]
       for num in range(len(lowerCAmelCase					)					):
              _UpperCamelCase              =						0
              while 2 * i * i <= odd_composites[num]:
                     _UpperCamelCase              =						odd_composites[num] - 2 * i * i
                     if is_prime(lowerCAmelCase					):
                            break
                     i += 1
              else:
                     list_nums.append(odd_composites[num]					)
                     if len(lowerCAmelCase					) == n:
                            return list_nums

       return []


def     SCREAMING_SNAKE_CASE			(      ):
       return compute_nums(1					)[0]


if __name__ == "__main__":
       print(F'''{solution() = }''')






