






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


UpperCamelCase							="""▁"""

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




@require_sentencepiece
class     A    (      SCREAMING_SNAKE_CASE__,   unittest.TestCase						):






 """simple docstring"""





 __a			:						int      =						BertGenerationTokenizer
 __a			:						Optional[Any]      =						False
 __a			:						str      =						True
 def   _UpperCAmelCase       (							self ):
       super().setUp()

       UpperCamelCase_				:   Any					    =							BertGenerationTokenizer(UpperCamelCase__			,     keep_accents=UpperCamelCase__ )
       tokenizer.save_pretrained(self.tmpdirname )
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   Tuple					    =							"""<s>"""
       UpperCamelCase_				:   int					    =							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 ):
       UpperCamelCase_				:   List[str]					    =							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(UpperCamelCase__ )			,     10_02 )
 def   _UpperCAmelCase       (							self ):
       self.assertEqual(self.get_tokenizer().vocab_size			,     10_00 )
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   List[str]					    =							BertGenerationTokenizer(UpperCamelCase__			,     keep_accents=UpperCamelCase__ )

       UpperCamelCase_				:   int					    =							tokenizer.tokenize("""This is a test""" )
       self.assertListEqual(UpperCamelCase__			,     ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""] )

       self.assertListEqual(
           tokenizer.convert_tokens_to_ids(UpperCamelCase__ )			,     [2_85, 46, 10, 1_70, 3_82]			,     )

       UpperCamelCase_				:   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""",
               """.""",
           ]			,     )
       UpperCamelCase_				:   Dict					    =							tokenizer.convert_tokens_to_ids(UpperCamelCase__ )
       self.assertListEqual(
           UpperCamelCase__			,     [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]			,     )

       UpperCamelCase_				:   str					    =							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 BertGenerationTokenizer.from_pretrained("""google/bert_for_seq_generation_L-24_bbc_encoder""" )
 @slow
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   List[str]					    =							"""Hello World!"""
       UpperCamelCase_				:   List[str]					    =							[1_85_36, 22_60, 1_01]

       self.assertListEqual(UpperCamelCase__			,     self.big_tokenizer.encode(UpperCamelCase__ ) )
 @slow
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   int					    =							(
           """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"""
       )
       UpperCamelCase_				:   int					    =							[
           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(UpperCamelCase__			,     self.big_tokenizer.encode(UpperCamelCase__ ) )
 @require_torch
 @slow
 def   _UpperCAmelCase       (							self ):
       import torch

       from transformers import BertGenerationConfig, BertGenerationEncoder

       # Build sequence
       UpperCamelCase_				:   str					    =							list(self.big_tokenizer.get_vocab().keys() )[:10]
       UpperCamelCase_				:   str					    =							""" """.join(UpperCamelCase__ )
       UpperCamelCase_				:   Dict					    =							self.big_tokenizer.encode_plus(UpperCamelCase__			,     return_tensors="""pt"""			,     return_token_type_ids=UpperCamelCase__ )
       UpperCamelCase_				:   str					    =							self.big_tokenizer.batch_encode_plus(
           [sequence + """ """ + sequence]			,     return_tensors="""pt"""			,     return_token_type_ids=UpperCamelCase__ )

       UpperCamelCase_				:   Optional[int]					    =							BertGenerationConfig()
       UpperCamelCase_				:   int					    =							BertGenerationEncoder(UpperCamelCase__ )

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

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





 @slow
 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_				:   int					    =							{"""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=UpperCamelCase__			,     model_name="""google/bert_for_seq_generation_L-24_bbc_encoder"""			,     revision="""c817d1fd1be2ffa69431227a1fe320544943d4db"""			,     )














'''simple docstring'''

# flake8: noqa
# Lint as: python3
UpperCamelCase							=[
    "VerificationMode",
    "Version",
    "disable_progress_bar",
    "enable_progress_bar",
    "is_progress_bar_enabled",
    "experimental",
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental






