


'''simple docstring'''







import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A				:					int    						=			get_tests_dir('''fixtures/test_sentencepiece.model''')


@require_sentencepiece
@require_tokenizers
class 			__lowerCamelCase			(	a_    , unittest.TestCase	):
    """simple docstring"""
    a													=   XGLMTokenizer
    a													=   XGLMTokenizerFast
    a													=   True
    a													=   True


    def        A   (  self      :							List[str]):
           super().setUp()

           # We have a SentencePiece fixture for testing
           _A					:     Dict     = XGLMTokenizer(SCREAMING_SNAKE_CASE				,							keep_accents=SCREAMING_SNAKE_CASE)
           tokenizer.save_pretrained(self.tmpdirname)


    def        A   (  self      :							Optional[Any]):
           _A					:     Optional[int]     = '<pad>'
           _A					:     str     = 1

           self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE)				,							SCREAMING_SNAKE_CASE)
           self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE)				,							SCREAMING_SNAKE_CASE)


    def        A   (  self      :							Optional[Any]):
           _A					:     Optional[int]     = list(self.get_tokenizer().get_vocab().keys())

           self.assertEqual(vocab_keys[0]				,							'<s>')
           self.assertEqual(vocab_keys[1]				,							'<pad>')
           self.assertEqual(len(SCREAMING_SNAKE_CASE)				,							1008)


    def        A   (  self      :							int):
           self.assertEqual(self.get_tokenizer().vocab_size				,							1008)


    def        A   (  self      :							List[str]):
           _A					:     Tuple     = XGLMTokenizer(SCREAMING_SNAKE_CASE				,							keep_accents=SCREAMING_SNAKE_CASE)

           _A					:     int     = tokenizer.tokenize('This is a test')
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							['▁This', '▁is', '▁a', '▁t', 'est'])

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE)				,							[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]				,							)

           _A					:     Tuple     = tokenizer.tokenize('I was born in 92000, and this is falsé.')
           self.assertListEqual(
               SCREAMING_SNAKE_CASE				,							[
                   SPIECE_UNDERLINE + 'I',
                   SPIECE_UNDERLINE + 'was',
                   SPIECE_UNDERLINE + 'b',
                   'or',
                   'n',
                   SPIECE_UNDERLINE + 'in',
                   SPIECE_UNDERLINE + '',
                   '9',
                   '2',
                   '0',
                   '0',
                   '0',
                   ',',
                   SPIECE_UNDERLINE + 'and',
                   SPIECE_UNDERLINE + 'this',
                   SPIECE_UNDERLINE + 'is',
                   SPIECE_UNDERLINE + 'f',
                   'al',
                   's',
                   'é',
                   '.',
               ]				,							)
           _A					:     Union[str, Any]     = tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               SCREAMING_SNAKE_CASE				,							[
                   value + tokenizer.fairseq_offset
                   for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
               ]				,							)

           _A					:     str     = tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE)
           self.assertListEqual(
               SCREAMING_SNAKE_CASE				,							[
                   SPIECE_UNDERLINE + 'I',
                   SPIECE_UNDERLINE + 'was',
                   SPIECE_UNDERLINE + 'b',
                   'or',
                   'n',
                   SPIECE_UNDERLINE + 'in',
                   SPIECE_UNDERLINE + '',
                   '<unk>',
                   '2',
                   '0',
                   '0',
                   '0',
                   ',',
                   SPIECE_UNDERLINE + 'and',
                   SPIECE_UNDERLINE + 'this',
                   SPIECE_UNDERLINE + 'is',
                   SPIECE_UNDERLINE + 'f',
                   'al',
                   's',
                   '<unk>',
                   '.',
               ]				,							)


    @cached_property
    def        A   (  self      :							List[Any]):
           return XGLMTokenizer.from_pretrained('facebook/xglm-564M')


    def        A   (  self      :							Union[str, Any]):
           with tempfile.NamedTemporaryFile() as f:
                  shutil.copyfile(SCREAMING_SNAKE_CASE				,							f.name)
                  _A					:     str     = XGLMTokenizer(f.name				,							keep_accents=SCREAMING_SNAKE_CASE)
                  _A					:     Optional[int]     = pickle.dumps(SCREAMING_SNAKE_CASE)
           pickle.loads(SCREAMING_SNAKE_CASE)


    def        A   (  self      :							Optional[Any]):
           if not self.test_rust_tokenizer:
                  return

           _A					:     Optional[int]     = self.get_tokenizer()
           _A					:     Optional[Any]     = self.get_rust_tokenizer()

           _A					:     Optional[int]     = 'I was born in 92000, and this is falsé.'

           _A					:     int     = tokenizer.tokenize(SCREAMING_SNAKE_CASE)
           _A					:     Optional[int]     = rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)

           _A					:     str     = tokenizer.encode(SCREAMING_SNAKE_CASE				,							add_special_tokens=SCREAMING_SNAKE_CASE)
           _A					:     int     = rust_tokenizer.encode(SCREAMING_SNAKE_CASE				,							add_special_tokens=SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)

           _A					:     Any     = self.get_rust_tokenizer()
           _A					:     Dict     = tokenizer.encode(SCREAMING_SNAKE_CASE)
           _A					:     Tuple     = rust_tokenizer.encode(SCREAMING_SNAKE_CASE)
           self.assertListEqual(SCREAMING_SNAKE_CASE				,							SCREAMING_SNAKE_CASE)


    @slow
    def        A   (  self      :							int):
           _A					:     Optional[Any]     = 'Hello World!'
           _A					:     List[str]     = [2, 31227, 4447, 35]

           self.assertListEqual(SCREAMING_SNAKE_CASE				,							self.big_tokenizer.encode(SCREAMING_SNAKE_CASE))


    @slow
    def        A   (  self      :							Any):
           _A					:     List[str]     = (
               'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
               ' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'
           )
           # fmt: off
           _A					:     Tuple     = [2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
           # fmt: on

           self.assertListEqual(SCREAMING_SNAKE_CASE				,							self.big_tokenizer.encode(SCREAMING_SNAKE_CASE))


    @slow
    def        A   (  self      :							Any):
           # fmt: off
           _A					:     List[Any]     = {
               'input_ids': [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 5]],
               'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
           }  # noqa: E501
           # fmt: on

           self.tokenizer_integration_test_util(
               expected_encoding=SCREAMING_SNAKE_CASE				,							model_name='facebook/xglm-564M'				,							padding=SCREAMING_SNAKE_CASE				,							)










'''simple docstring'''







def 				lowerCAmelCase__	(    lowerCamelCase					:      int = 10       ):
       if not isinstance(lowerCamelCase  ,lowerCamelCase       ) or n < 0:
              raise ValueError('Invalid input'       )
       _A					:     Optional[Any]     = 10**n
       _A					:     List[str]     = 28433 * (pow(2  ,7830457  ,lowerCamelCase       )) + 1
       return str(number % modulus       )


if __name__ == "__main__":
   from doctest import testmod

   testmod()
   print(f"""{solution(10) = }""")






