






"""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


_UpperCamelCase		:  List[str]						=		get_tests_dir('fixtures/test_sentencepiece.model')

@require_sentencepiece
@require_tokenizers
class        a     (   UpperCAmelCase__,				unittest.TestCase	):
    UpperCAmelCase_ :     Dict	     =XGLMTokenizer
    UpperCAmelCase_ :     Any	     =XGLMTokenizerFast
    UpperCAmelCase_ :     List[str]	     =True
    UpperCAmelCase_ :     Tuple	     =True







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

      # We have a SentencePiece fixture for testing
      lowercase							    =       XGLMTokenizer(UpperCAmelCase__							,		keep_accents=UpperCAmelCase__       )
      tokenizer.save_pretrained(self.tmpdirname       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       '<pad>'
      lowercase							    =       1

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







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       list(self.get_tokenizer().get_vocab().keys()       )

      self.assertEqual(vocab_keys[0]							,		'<s>'       )
      self.assertEqual(vocab_keys[1]							,		'<pad>'       )
      self.assertEqual(len(UpperCAmelCase__       )							,		1_0_0_8       )







    def 			UpperCamelCase_      (			self       ):
      self.assertEqual(self.get_tokenizer().vocab_size							,		1_0_0_8       )







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       XGLMTokenizer(UpperCAmelCase__							,		keep_accents=UpperCAmelCase__       )

      lowercase							    =       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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]							,		)

      lowercase							    =       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',
              '.',
          ]							,		)
      lowercase							    =       tokenizer.convert_tokens_to_ids(UpperCAmelCase__       )
      self.assertListEqual(
          UpperCAmelCase__							,		[
              value + tokenizer.fairseq_offset
              for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
          ]							,		)

      lowercase							    =       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 			UpperCamelCase_      (			self       ):
      return XGLMTokenizer.from_pretrained('facebook/xglm-564M'       )







    def 			UpperCamelCase_      (			self       ):

      with tempfile.NamedTemporaryFile() as f:
        shutil.copyfile(UpperCAmelCase__							,		f.name       )
        lowercase							    =       XGLMTokenizer(f.name							,		keep_accents=UpperCAmelCase__       )
        lowercase							    =       pickle.dumps(UpperCAmelCase__       )
      pickle.loads(UpperCAmelCase__       )







    def 			UpperCamelCase_      (			self       ):

      if not self.test_rust_tokenizer:
        return

      lowercase							    =       self.get_tokenizer()
      lowercase							    =       self.get_rust_tokenizer()

      lowercase							    =       'I was born in 92000, and this is falsé.'

      lowercase							    =       tokenizer.tokenize(UpperCAmelCase__       )
      lowercase							    =       rust_tokenizer.tokenize(UpperCAmelCase__       )
      self.assertListEqual(UpperCAmelCase__							,		UpperCAmelCase__       )

      lowercase							    =       tokenizer.encode(UpperCAmelCase__							,		add_special_tokens=UpperCAmelCase__       )
      lowercase							    =       rust_tokenizer.encode(UpperCAmelCase__							,		add_special_tokens=UpperCAmelCase__       )
      self.assertListEqual(UpperCAmelCase__							,		UpperCAmelCase__       )

      lowercase							    =       self.get_rust_tokenizer()
      lowercase							    =       tokenizer.encode(UpperCAmelCase__       )
      lowercase							    =       rust_tokenizer.encode(UpperCAmelCase__       )
      self.assertListEqual(UpperCAmelCase__							,		UpperCAmelCase__       )







    @slow
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       'Hello World!'
      lowercase							    =       [2, 3_1_2_2_7, 4_4_4_7, 3_5]

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







    @slow
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       (
          '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
      lowercase							    =       [2, 1_0_1_8, 6_7, 1_1, 1_9_8_8, 2_6_1_7, 5_6_3_1, 2_7_8, 1_1, 3_4_0_7, 4_8, 7_1_6_3_0, 2_8_0_8_5, 4, 3_2_3_4, 1_5_7, 1_3, 6, 5, 6, 4, 3_5_2_6, 7_6_8, 1_5, 6_5_9, 5_7, 2_9_8, 3_9_8_3, 8_6_4, 1_2_9, 2_1, 6, 5, 1_3_6_7_5, 3_7_7, 6_5_2, 7_5_8_0, 1_0_3_4_1, 1_5_5, 2_8_1_7, 4_2_2, 1_6_6_6, 7, 1_6_7_4, 5_3, 1_1_3, 2_0_2_2_7_7, 1_7_8_9_2, 3_3, 6_0, 8_7, 4, 3_2_3_4, 1_5_7, 6_1, 2_6_6_7, 5_2_3_7_6, 1_9, 8_8, 2_3, 7_3_5]
      # fmt: on

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







    @slow
    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       {
          'input_ids': [[2, 1_0_8_8_2_5, 1_1_6_3, 1_5, 8_8_0_1_0, 4_7_3, 1_5_8_9_8, 1_5_7, 1_3_6_7_2, 1_8_5_7, 3_1_2, 8, 2_3_8_0_2_1, 1_1_6_3, 5_3, 1_3_6_7_2, 1_8_5_7, 3_1_2, 8, 5_3_2_8_3, 1_8_2_3_9_6, 8, 1_8_5_6_6, 1_6, 3_6_7_3_3, 4_1_0_1, 8, 2_3_0, 2_4_4_0_1_7, 1_2_2_5_5_3, 7, 1_5, 1_3_2_5_9_7, 4, 2_9_3, 1_2_5_1_1, 7_6_1_0, 4, 3_4_1_4, 1_3_2_5_9_7, 9, 4, 3_2_3_6_1, 3_6_2, 4, 7_3_4, 2_8_5_1_2, 3_2_5_6_9, 1_8, 4, 3_2_3_6_1, 2_6_0_9_6, 1_4_9_8_2, 7_3, 1_8_7_1_5, 2_1_4_3_3, 2_3_5_2_6_1, 1_5, 4_9_2, 1_2_4_2_7, 1_6, 5_3, 1_8_7_1_5, 2_1_4_3_3, 6_5_4_5_4, 1_5, 2_3_6_5_9, 5_6_3, 1_6, 2_7_8, 5_9_7, 2_8_4_3, 5_9_5, 7_9_3_1, 1_8_2_3_9_6, 6_4_1_8_6, 2_2, 8_8_6, 5_9_5, 1_3_2_9_8_1, 5_3, 2_5_5_4_0, 3_4_4_9, 4_3_9_8_2, 3_9_9_0_1, 5_9_5_1, 8_7_8, 3_3_0, 4, 2_7_6_9_4, 8_0_2_6_9, 3_1_2, 5_3, 6_5_1_7, 1_1_7_8_0, 6_1_1, 2_0_4_0_8, 5], [2, 6, 1_3_2_5_9_7, 6_7, 4_2_8_9_7, 3_3, 5_9_2, 8, 1_6_3_7_2_9, 2_5_5_4_0, 3_6_1, 1_3_6_9_9_7, 1_0_9_5_1_4, 1_7_3_2_3_0, 7, 5_0_1, 6_0, 1_0_2_9_1_3, 1_9_6, 5_6_3_1, 2_3_5, 6_3_2_4_3, 4_7_3, 6, 2_3_1_7_5_7, 7_4, 5_2_7_7, 7_9_0_5, 5_3, 3_0_9_5, 3_7_3_1_7, 2_2, 4_5_4, 1_8_3_8_7_4, 5], [2, 2_6_8, 3_1_2_9_8, 4_6_5_3_0, 6, 1_3_2_9_3_5, 4_3_8_3_1, 7, 5_9_7, 3_2, 2_4, 3_6_8_8, 9_8_6_5, 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=UpperCAmelCase__							,		model_name='facebook/xglm-564M'							,		padding=UpperCAmelCase__							,		)








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


_lowerCamelCase	:		int							       =   {
    """configuration_blip""": [
        """BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BlipConfig""",
        """BlipTextConfig""",
        """BlipVisionConfig""",
    ],
    """processing_blip""": ["""BlipProcessor"""],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase	:		Tuple							       =   ["""BlipImageProcessor"""]


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase	:		List[Any]							       =   [
      """BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """BlipModel""",
      """BlipPreTrainedModel""",
      """BlipForConditionalGeneration""",
      """BlipForQuestionAnswering""",
      """BlipVisionModel""",
      """BlipTextModel""",
      """BlipForImageTextRetrieval""",
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCamelCase	:		Optional[Any]							       =   [
      """TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """TFBlipModel""",
      """TFBlipPreTrainedModel""",
      """TFBlipForConditionalGeneration""",
      """TFBlipForQuestionAnswering""",
      """TFBlipVisionModel""",
      """TFBlipTextModel""",
      """TFBlipForImageTextRetrieval""",
  ]

if TYPE_CHECKING:
  from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
  from .processing_blip import BlipProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_blip import BlipImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_blip import (
        BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
        BlipForConditionalGeneration,
        BlipForImageTextRetrieval,
        BlipForQuestionAnswering,
        BlipModel,
        BlipPreTrainedModel,
        BlipTextModel,
        BlipVisionModel,
    )

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_blip import (
        TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
        TFBlipForConditionalGeneration,
        TFBlipForImageTextRetrieval,
        TFBlipForQuestionAnswering,
        TFBlipModel,
        TFBlipPreTrainedModel,
        TFBlipTextModel,
        TFBlipVisionModel,
    )

else:
  import sys

  _lowerCamelCase	:		List[Any]							       =   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


