


'''simple docstring'''






import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


__A   :    Optional[Any]											= get_tests_dir("fixtures/test_sentencepiece_no_bos.model")






@require_sentencepiece
@require_tokenizers
class   __snake_case			(  _SCREAMING_SNAKE_CASE      ,unittest.TestCase):







    """simple docstring"""



    lowercase  					=   PegasusTokenizer
    lowercase  					=   PegasusTokenizerFast
    lowercase  					=   True
    lowercase  					=   True

    def __lowercase  (  self       :    Optional[Any]						)  ->    Union[str, Any]:
      super().setUp()

      # We have a SentencePiece fixture for testing
      lowerCAmelCase_     : Union[str, Any]     =  PegasusTokenizer(lowerCamelCase						)
      tokenizer.save_pretrained(self.tmpdirname						)

    @cached_property
    def __lowercase  (  self       :    Dict						)  ->    Tuple:
      return PegasusTokenizer.from_pretrained("""google/pegasus-large"""						)

    def __lowercase  (  self       :    Optional[Any]       ,		**lowerCamelCase       :    Optional[Any]						)  ->    PegasusTokenizer:
      return PegasusTokenizer.from_pretrained(self.tmpdirname       ,		**lowerCamelCase						)

    def __lowercase  (  self       :    Optional[int]       ,		lowerCamelCase       :    List[Any]						)  ->    Optional[Any]:
      return ("This is a test", "This is a test")

    def __lowercase  (  self       :    Tuple						)  ->    Optional[Any]:
      lowerCAmelCase_     : Dict     =  """</s>"""
      lowerCAmelCase_     : Union[str, Any]     =  1

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

    def __lowercase  (  self       :    Optional[Any]						)  ->    List[Any]:
      lowerCAmelCase_     : Tuple     =  list(self.get_tokenizer().get_vocab().keys()						)

      self.assertEqual(vocab_keys[0]       ,		"""<pad>"""						)
      self.assertEqual(vocab_keys[1]       ,		"""</s>"""						)
      self.assertEqual(vocab_keys[-1]       ,		"""v"""						)
      self.assertEqual(len(lowerCamelCase						)       ,		11_03						)

    def __lowercase  (  self       :    Any						)  ->    List[str]:
      self.assertEqual(self.get_tokenizer().vocab_size       ,		11_03						)

    def __lowercase  (  self       :    Any						)  ->    int:
      lowerCAmelCase_     : Tuple     =  self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
      lowerCAmelCase_     : List[Any]     =  self.tokenizer_class.from_pretrained(self.tmpdirname						)
      lowerCAmelCase_     : int     =  (
          """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
          """ </s> <pad> <pad> <pad>"""
      )
      lowerCAmelCase_     : List[Any]     =  rust_tokenizer([raw_input_str]       ,		return_tensors=lowerCamelCase       ,		add_special_tokens=lowerCamelCase						).input_ids[0]
      lowerCAmelCase_     : Optional[int]     =  py_tokenizer([raw_input_str]       ,		return_tensors=lowerCamelCase       ,		add_special_tokens=lowerCamelCase						).input_ids[0]
      self.assertListEqual(lowerCamelCase       ,		lowerCamelCase						)

    def __lowercase  (  self       :    Optional[Any]						)  ->    Optional[int]:
      lowerCAmelCase_     : Dict     =  self._large_tokenizer
      # <mask_1> masks whole sentence while <mask_2> masks single word
      lowerCAmelCase_     : str     =  """<mask_1> To ensure a <mask_2> flow of bank resolutions."""
      lowerCAmelCase_     : Tuple     =  [2, 4_13, 6_15, 1_14, 3, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
      lowerCAmelCase_     : List[Any]     =  tokenizer([raw_input_str]       ,		return_tensors=lowerCamelCase						).input_ids[0]
      self.assertListEqual(lowerCamelCase       ,		lowerCamelCase						)

    def __lowercase  (  self       :    int						)  ->    Dict:
      lowerCAmelCase_     : Tuple     =  self._large_tokenizer
      # The tracebacks for the following asserts are **better** without messages or self.assertEqual
      assert tokenizer.vocab_size == 9_61_03
      assert tokenizer.pad_token_id == 0
      assert tokenizer.eos_token_id == 1
      assert tokenizer.offset == 1_03
      assert tokenizer.unk_token_id == tokenizer.offset + 2 == 1_05
      assert tokenizer.unk_token == "<unk>"
      assert tokenizer.model_max_length == 10_24
      lowerCAmelCase_     : Union[str, Any]     =  """To ensure a smooth flow of bank resolutions."""
      lowerCAmelCase_     : Union[str, Any]     =  [4_13, 6_15, 1_14, 22_91, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
      lowerCAmelCase_     : str     =  tokenizer([raw_input_str]       ,		return_tensors=lowerCamelCase						).input_ids[0]
      self.assertListEqual(lowerCamelCase       ,		lowerCamelCase						)
      assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]						) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]

    @require_torch
    def __lowercase  (  self       :    str						)  ->    Optional[Any]:
      lowerCAmelCase_     : Optional[int]     =  ["""This is going to be way too long.""" * 1_50, """short example"""]
      lowerCAmelCase_     : Tuple     =  ["""not super long but more than 5 tokens""", """tiny"""]
      lowerCAmelCase_     : Union[str, Any]     =  self._large_tokenizer(lowerCamelCase       ,		padding=lowerCamelCase       ,		truncation=lowerCamelCase       ,		return_tensors="""pt"""						)
      lowerCAmelCase_     : Optional[Any]     =  self._large_tokenizer(
          text_target=lowerCamelCase       ,		max_length=5       ,		padding=lowerCamelCase       ,		truncation=lowerCamelCase       ,		return_tensors="""pt"""						)

      assert batch.input_ids.shape == (2, 10_24)
      assert batch.attention_mask.shape == (2, 10_24)
      assert targets["input_ids"].shape == (2, 5)
      assert len(lowerCamelCase						) == 2  # input_ids, attention_mask.





    @slow
    def __lowercase  (  self       :    Union[str, Any]						)  ->    Any:
      # fmt: off
      lowerCAmelCase_     : Optional[Any]     =  {"""input_ids""": [[3_89_79, 1_43, 1_84_85, 6_06, 1_30, 2_66_69, 8_76_86, 1_21, 5_41_89, 11_29, 1_11, 2_66_69, 8_76_86, 1_21, 91_14, 1_47_87, 1_21, 1_32_49, 1_58, 5_92, 9_56, 1_21, 1_46_21, 3_15_76, 1_43, 6_26_13, 1_08, 96_88, 9_30, 4_34_30, 1_15_62, 6_26_13, 3_04, 1_08, 1_14_43, 8_97, 1_08, 93_14, 1_74_15, 6_33_99, 1_08, 1_14_43, 76_14, 1_83_16, 1_18, 42_84, 71_48, 1_24_30, 1_43, 14_00, 2_57_03, 1_58, 1_11, 42_84, 71_48, 1_17_72, 1_43, 2_12_97, 10_64, 1_58, 1_22, 2_04, 35_06, 17_54, 11_33, 1_47_87, 15_81, 1_15, 3_32_24, 44_82, 1_11, 13_55, 1_10, 2_91_73, 3_17, 5_08_33, 1_08, 2_01_47, 9_46_65, 1_11, 7_71_98, 1_07, 1], [1_10, 6_26_13, 1_17, 6_38, 1_12, 11_33, 1_21, 2_00_98, 13_55, 7_90_50, 1_38_72, 1_35, 15_96, 5_35_41, 13_52, 1_41, 1_30_39, 55_42, 1_24, 3_02, 5_18, 1_11, 2_68, 29_56, 1_15, 1_49, 44_27, 1_07, 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], [1_39, 12_35, 27_99, 1_82_89, 1_77_80, 2_04, 1_09, 94_74, 12_96, 1_07, 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]], """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, 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, 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=lowerCamelCase       ,		model_name="""google/bigbird-pegasus-large-arxiv"""       ,		revision="""ba85d0851d708441f91440d509690f1ab6353415"""       ,		)







@require_sentencepiece
@require_tokenizers
class   __snake_case			(  _SCREAMING_SNAKE_CASE      ,unittest.TestCase):







    """simple docstring"""



    lowercase  					=   PegasusTokenizer
    lowercase  					=   PegasusTokenizerFast
    lowercase  					=   True
    lowercase  					=   True

    def __lowercase  (  self       :    int						)  ->    str:
      super().setUp()

      # We have a SentencePiece fixture for testing
      lowerCAmelCase_     : int     =  PegasusTokenizer(lowerCamelCase       ,		offset=0       ,		mask_token_sent=lowerCamelCase       ,		mask_token="""[MASK]"""						)
      tokenizer.save_pretrained(self.tmpdirname						)

    @cached_property
    def __lowercase  (  self       :    List[Any]						)  ->    Optional[Any]:
      return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv"""						)

    def __lowercase  (  self       :    List[str]       ,		**lowerCamelCase       :    int						)  ->    PegasusTokenizer:
      return PegasusTokenizer.from_pretrained(self.tmpdirname       ,		**lowerCamelCase						)

    def __lowercase  (  self       :    int       ,		lowerCamelCase       :    Optional[int]						)  ->    List[str]:
      return ("This is a test", "This is a test")

    def __lowercase  (  self       :    Dict						)  ->    Any:
      lowerCAmelCase_     : Optional[Any]     =  self.rust_tokenizer_class.from_pretrained(self.tmpdirname						)
      lowerCAmelCase_     : Any     =  self.tokenizer_class.from_pretrained(self.tmpdirname						)
      lowerCAmelCase_     : str     =  (
          """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
          """ <pad> <pad> <pad>"""
      )
      lowerCAmelCase_     : Dict     =  rust_tokenizer([raw_input_str]       ,		return_tensors=lowerCamelCase       ,		add_special_tokens=lowerCamelCase						).input_ids[0]
      lowerCAmelCase_     : str     =  py_tokenizer([raw_input_str]       ,		return_tensors=lowerCamelCase       ,		add_special_tokens=lowerCamelCase						).input_ids[0]
      self.assertListEqual(lowerCamelCase       ,		lowerCamelCase						)

    @require_torch
    def __lowercase  (  self       :    int						)  ->    Any:
      lowerCAmelCase_     : Tuple     =  ["""This is going to be way too long.""" * 10_00, """short example"""]
      lowerCAmelCase_     : Dict     =  ["""not super long but more than 5 tokens""", """tiny"""]
      lowerCAmelCase_     : List[str]     =  self._large_tokenizer(lowerCamelCase       ,		padding=lowerCamelCase       ,		truncation=lowerCamelCase       ,		return_tensors="""pt"""						)
      lowerCAmelCase_     : Optional[Any]     =  self._large_tokenizer(
          text_target=lowerCamelCase       ,		max_length=5       ,		padding=lowerCamelCase       ,		truncation=lowerCamelCase       ,		return_tensors="""pt"""						)

      assert batch.input_ids.shape == (2, 40_96)
      assert batch.attention_mask.shape == (2, 40_96)
      assert targets["input_ids"].shape == (2, 5)
      assert len(lowerCamelCase						) == 2  # input_ids, attention_mask.





    def __lowercase  (  self       :    int						)  ->    Any:
      lowerCAmelCase_     : Any     =  (
          """This is an example string that is used to test the original TF implementation against the HF"""
          """ implementation"""
      )

      lowerCAmelCase_     : str     =  self._large_tokenizer(lowerCamelCase						).input_ids

      self.assertListEqual(
          lowerCamelCase       ,		[1_82, 1_17, 1_42, 5_87, 42_11, 1_20, 1_17, 2_63, 1_12, 8_04, 1_09, 8_56, 2_50_16, 31_37, 4_64, 1_09, 2_69_55, 31_37, 1]       ,		)







'''simple docstring'''






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__A   :    str											= logging.get_logger(__name__)

__A   :    int											= {
    "weiweishi/roc-bert-base-zh": "https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/main/config.json",
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   'roc_bert'

    def __init__(  self       :    str       ,		lowerCamelCase       :    Optional[Any]=3_05_22       ,		lowerCamelCase       :    List[Any]=7_68       ,		lowerCamelCase       :    int=12       ,		lowerCamelCase       :    str=12       ,		lowerCamelCase       :    Any=30_72       ,		lowerCamelCase       :    List[Any]="gelu"       ,		lowerCamelCase       :    Optional[int]=0.1       ,		lowerCamelCase       :    List[str]=0.1       ,		lowerCamelCase       :    int=5_12       ,		lowerCamelCase       :    List[Any]=2       ,		lowerCamelCase       :    int=0.02       ,		lowerCamelCase       :    str=1E-12       ,		lowerCamelCase       :    int=True       ,		lowerCamelCase       :    Optional[Any]=0       ,		lowerCamelCase       :    List[Any]="absolute"       ,		lowerCamelCase       :    str=None       ,		lowerCamelCase       :    str=True       ,		lowerCamelCase       :    Tuple=True       ,		lowerCamelCase       :    str=7_68       ,		lowerCamelCase       :    str=9_10       ,		lowerCamelCase       :    Tuple=5_12       ,		lowerCamelCase       :    List[str]=2_48_58       ,		lowerCamelCase       :    Dict=True       ,		**lowerCamelCase       :    Tuple       ,		)  ->    Optional[int]:
      lowerCAmelCase_     : Optional[Any]     =  vocab_size
      lowerCAmelCase_     : Any     =  max_position_embeddings
      lowerCAmelCase_     : Any     =  hidden_size
      lowerCAmelCase_     : int     =  num_hidden_layers
      lowerCAmelCase_     : Tuple     =  num_attention_heads
      lowerCAmelCase_     : List[Any]     =  intermediate_size
      lowerCAmelCase_     : Tuple     =  hidden_act
      lowerCAmelCase_     : List[Any]     =  hidden_dropout_prob
      lowerCAmelCase_     : Dict     =  attention_probs_dropout_prob
      lowerCAmelCase_     : Any     =  initializer_range
      lowerCAmelCase_     : Any     =  type_vocab_size
      lowerCAmelCase_     : Optional[int]     =  layer_norm_eps
      lowerCAmelCase_     : Tuple     =  use_cache
      lowerCAmelCase_     : List[Any]     =  enable_pronunciation
      lowerCAmelCase_     : List[Any]     =  enable_shape
      lowerCAmelCase_     : List[str]     =  pronunciation_embed_dim
      lowerCAmelCase_     : List[str]     =  pronunciation_vocab_size
      lowerCAmelCase_     : Dict     =  shape_embed_dim
      lowerCAmelCase_     : Optional[Any]     =  shape_vocab_size
      lowerCAmelCase_     : List[Any]     =  concat_input
      lowerCAmelCase_     : Any     =  position_embedding_type
      lowerCAmelCase_     : List[str]     =  classifier_dropout
      super().__init__(pad_token_id=lowerCamelCase       ,		**lowerCamelCase						)



