
import unittest

from transformers import BertGenerationTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase__    :		int          =   """▁"""

lowerCamelCase__    :		int          =   get_tests_dir("""fixtures/test_sentencepiece.model""")



@require_sentencepiece
class       _snake_case   (	UpperCAmelCase_  ,						unittest.TestCase							):
 __lowerCAmelCase  :     Dict        =			BertGenerationTokenizer
 __lowerCAmelCase  :     List[Any]        =			False
 __lowerCAmelCase  :     int        =			True


 def      lowercase__     (					self):


   '''simple docstring'''




   super().setUp()

   lowercase__  :   int    		=      BertGenerationTokenizer(SCREAMING_SNAKE_CASE_					,  keep_accents=SCREAMING_SNAKE_CASE_)
   tokenizer.save_pretrained(self.tmpdirname)


 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   str    		=      """<s>"""
   lowercase__  :   List[Any]    		=      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      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Any    		=      list(self.get_tokenizer().get_vocab().keys())

   self.assertEqual(vocab_keys[0]					,  """<unk>""")
   self.assertEqual(vocab_keys[1]					,  """<s>""")
   self.assertEqual(vocab_keys[-1]					,  """<pad>""")
   self.assertEqual(len(SCREAMING_SNAKE_CASE_)					,  10_02)


 def      lowercase__     (					self):


   '''simple docstring'''




   self.assertEqual(self.get_tokenizer().vocab_size					,  10_00)


 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   List[Any]    		=      BertGenerationTokenizer(SCREAMING_SNAKE_CASE_					,  keep_accents=SCREAMING_SNAKE_CASE_)

   lowercase__  :   Any    		=      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_)					,  [2_85, 46, 10, 1_70, 3_82]					,  )

   lowercase__  :   List[Any]    		=      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""",
           """.""",
       ]					,  )
   lowercase__  :   Tuple    		=      tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)
   self.assertListEqual(
       SCREAMING_SNAKE_CASE_					,  [8, 21, 84, 55, 24, 19, 7, 0, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 0, 4]					,  )

   lowercase__  :   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      lowercase__     (					self):


   '''simple docstring'''




   return BertGenerationTokenizer.from_pretrained("""google/bert_for_seq_generation_L-24_bbc_encoder""")


 @slow
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   int    		=      """Hello World!"""
   lowercase__  :   Optional[Any]    		=      [1_85_36, 22_60, 1_01]

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


 @slow
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Any    		=      (
       """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"""
   )
   lowercase__  :   Dict    		=      [
       8_71,
       4_19,
       3_58,
       9_46,
       9_91,
       25_21,
       4_52,
       3_58,
       13_57,
       3_87,
       77_51,
       35_36,
       1_12,
       9_85,
       4_56,
       1_26,
       8_65,
       9_38,
       54_00,
       57_34,
       4_58,
       13_68,
       4_67,
       7_86,
       24_62,
       52_46,
       11_59,
       6_33,
       8_65,
       45_19,
       4_57,
       5_82,
       8_52,
       25_57,
       4_27,
       9_16,
       5_08,
       4_05,
       3_43_24,
       4_97,
       3_91,
       4_08,
       1_13_42,
       12_44,
       3_85,
       1_00,
       9_38,
       9_85,
       4_56,
       5_74,
       3_62,
       1_25_97,
       32_00,
       31_29,
       11_72,
   ]

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


 @require_torch
 @slow
 def      lowercase__     (					self):


   '''simple docstring'''




   import torch

   from transformers import BertGenerationConfig, BertGenerationEncoder

   # Build sequence
   lowercase__  :   List[Any]    		=      list(self.big_tokenizer.get_vocab().keys())[:10]
   lowercase__  :   Union[str, Any]    		=      """ """.join(SCREAMING_SNAKE_CASE_)
   lowercase__  :   List[str]    		=      self.big_tokenizer.encode_plus(SCREAMING_SNAKE_CASE_					,  return_tensors="""pt"""					,  return_token_type_ids=SCREAMING_SNAKE_CASE_)
   lowercase__  :   Tuple    		=      self.big_tokenizer.batch_encode_plus(
       [sequence + """ """ + sequence]					,  return_tensors="""pt"""					,  return_token_type_ids=SCREAMING_SNAKE_CASE_)

   lowercase__  :   Tuple    		=      BertGenerationConfig()
   lowercase__  :   Any    		=      BertGenerationEncoder(SCREAMING_SNAKE_CASE_)

   assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

   with torch.no_grad():
     model(**SCREAMING_SNAKE_CASE_)
     model(**SCREAMING_SNAKE_CASE_)



 @slow
 def      lowercase__     (					self):


   '''simple docstring'''




   lowercase__  :   Union[str, Any]    		=      {"""input_ids""": [[3_92_86, 4_58, 3_63_35, 20_01, 4_56, 1_30_73, 1_32_66, 4_55, 1_13, 77_46, 17_41, 1_11_57, 3_91, 1_30_73, 1_32_66, 4_55, 1_13, 39_67, 3_54_12, 1_13, 49_36, 1_09, 38_70, 23_77, 1_13, 3_00_84, 4_57_20, 4_58, 1_34, 1_74_96, 1_12, 5_03, 1_16_72, 1_13, 1_18, 1_12, 56_65, 1_33_47, 3_86_87, 1_12, 14_96, 3_13_89, 1_12, 32_68, 4_72_64, 1_34, 9_62, 1_12, 1_63_77, 80_35, 2_31_30, 4_30, 1_21_69, 1_55_18, 2_85_92, 4_58, 1_46, 4_16_97, 1_09, 3_91, 1_21_69, 1_55_18, 1_66_89, 4_58, 1_46, 4_13_58, 1_09, 4_52, 7_26, 40_34, 1_11, 7_63, 3_54_12, 50_82, 3_88, 19_03, 1_11, 90_51, 3_91, 28_70, 4_89_18, 19_00, 11_23, 5_50, 9_98, 1_12, 95_86, 1_59_85, 4_55, 3_91, 4_10, 2_29_55, 3_76_36, 1_14], [4_48, 1_74_96, 4_19, 36_63, 3_85, 7_63, 1_13, 2_75_33, 28_70, 32_83, 1_30_43, 16_39, 2_47_13, 5_23, 6_56, 2_40_13, 1_85_50, 25_21, 5_17, 2_70_14, 2_12_44, 4_20, 12_12, 14_65, 3_91, 9_27, 48_33, 3_88, 5_78, 1_17_86, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4_84, 21_69, 76_87, 2_19_32, 1_81_46, 7_26, 3_63, 1_70_32, 33_91, 1_14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=SCREAMING_SNAKE_CASE_					,  model_name="""google/bert_for_seq_generation_L-24_bbc_encoder"""					,  revision="""c817d1fd1be2ffa69431227a1fe320544943d4db"""					,  )








from ..utils import DummyObject, requires_backends



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     int        =			['torch', 'transformers', 'onnx']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Any        =			['torch', 'transformers', 'onnx']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Union[str, Any]        =			['torch', 'transformers', 'onnx']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     List[Any]        =			['torch', 'transformers', 'onnx']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     Dict        =			['torch', 'transformers', 'onnx']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



class       _snake_case   (	metaclass=UpperCAmelCase_							):
 __lowerCAmelCase  :     List[str]        =			['torch', 'transformers', 'onnx']


 def __init__(					self					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(self					,  ["""torch""", """transformers""", """onnx"""])


 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])



 @classmethod
 def      lowercase__     (					cls					,  *SCREAMING_SNAKE_CASE_					,  **SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   requires_backends(cls					,  ["""torch""", """transformers""", """onnx"""])






