





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case_     =	{"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case_     =	[
         """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """SEWForCTC""",
         """SEWForSequenceClassification""",
         """SEWModel""",
         """SEWPreTrainedModel""",
     ]

if TYPE_CHECKING:
     from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_sew import (
              SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
              SEWForCTC,
              SEWForSequenceClassification,
              SEWModel,
              SEWPreTrainedModel,
          )


else:
     import sys

     snake_case_     =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)







'''simple docstring'''






import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


snake_case_     =	get_tests_dir("""fixtures/test_sentencepiece.model""")


@require_sentencepiece
class   _lowercase						(							a		,					unittest.TestCase				):
   _UpperCamelCase       		=   XLMProphetNetTokenizer
   _UpperCamelCase       		=   False
   _UpperCamelCase       		=   True


   def 					snake_case				( self					):
       super().setUp()

       # We have a SentencePiece fixture for testing
       A       :       Dict							=						XLMProphetNetTokenizer(_UpperCAmelCase    ,   keep_accents=_UpperCAmelCase					)
       tokenizer.save_pretrained(self.tmpdirname					)


   def 					snake_case				( self					):
       A       :       Union[str, Any]							=						'''[PAD]'''
       A       :       Optional[int]							=						0

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


   def 					snake_case				( self					):
       A       :       Union[str, Any]							=						list(self.get_tokenizer().get_vocab().keys()					)

       self.assertEqual(vocab_keys[0]    ,   '''[PAD]'''					)
       self.assertEqual(vocab_keys[1]    ,   '''[CLS]'''					)
       self.assertEqual(vocab_keys[-1]    ,   '''j'''					)
       self.assertEqual(len(_UpperCAmelCase					)    ,   1_012					)


   def 					snake_case				( self					):
       self.assertEqual(self.get_tokenizer().vocab_size    ,   1_012					)


   def 					snake_case				( self					):
       A       :       Dict							=						XLMProphetNetTokenizer(_UpperCAmelCase    ,   keep_accents=_UpperCAmelCase					)

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

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

       A       :       Optional[Any]							=						tokenizer.tokenize('''I was born in 92000, and this is falsé.'''					)
       self.assertListEqual(
           _UpperCAmelCase    ,   [
               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       :       int							=						tokenizer.convert_tokens_to_ids(_UpperCAmelCase					)
       self.assertListEqual(
           _UpperCAmelCase    ,   [
               value + tokenizer.fairseq_offset
               for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
           ]    ,   )

       A       :       Union[str, Any]							=						tokenizer.convert_ids_to_tokens(_UpperCAmelCase					)
       self.assertListEqual(
           _UpperCAmelCase    ,   [
               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 					snake_case				( self					):
       return XLMProphetNetTokenizer.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased'''					)


   @slow
   def 					snake_case				( self					):
       A       :       Union[str, Any]							=						'''Hello World!'''
       A       :       Any							=						[35_389, 6_672, 49, 2]
       self.assertListEqual(_UpperCAmelCase    ,   self.big_tokenizer.encode(_UpperCAmelCase					)					)


   @slow
   def 					snake_case				( self					):
       # fmt: off
       A       :       List[Any]							=						{'''input_ids''': [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=_UpperCAmelCase    ,   model_name='''microsoft/xprophetnet-large-wiki100-cased'''    ,   revision='''1acad1643ddd54a44df6a1b797ada8373685d90e'''    ,   )
