





'''simple docstring'''






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 (					lowercase_						,					unittest.TestCase		):
		lowercase__:   Any				     =   BertGenerationTokenizer
		lowercase__:   List[Any]				     =   False
		lowercase__:   str				     =   True

		def 	lowercase__     (   self					:   List[str]			)					->    Dict:


					"""simple docstring"""

					super().setUp()

					__snake_case					:      Optional[int]							      =     BertGenerationTokenizer(lowerCamelCase_  ,      keep_accents=lowerCamelCase_			)
					tokenizer.save_pretrained(self.tmpdirname			)

		def 	lowercase__     (   self					:   Any			)					->    Any:


					"""simple docstring"""

					__snake_case					:      Union[str, Any]							      =     """<s>"""
					__snake_case					:      Optional[int]							      =     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					:   Any			)					->    Optional[Any]:


					"""simple docstring"""

					__snake_case					:      Optional[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(lowerCamelCase_			)  ,      10_02			)

		def 	lowercase__     (   self					:   List[str]			)					->    int:


					"""simple docstring"""

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

		def 	lowercase__     (   self					:   Optional[int]			)					->    List[Any]:


					"""simple docstring"""

					__snake_case					:      List[Any]							      =     BertGenerationTokenizer(lowerCamelCase_  ,      keep_accents=lowerCamelCase_			)

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

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

					__snake_case					:      Optional[Any]							      =     tokenizer.tokenize("""I was born in 92000, and this is falsé."""			)
					self.assertListEqual(
					    lowerCamelCase_  ,      [
					        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""",
					        """.""",
					    ]  ,      )
					__snake_case					:      Optional[Any]							      =     tokenizer.convert_tokens_to_ids(lowerCamelCase_			)
					self.assertListEqual(
					    lowerCamelCase_  ,      [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]  ,      )

					__snake_case					:      str							      =     tokenizer.convert_ids_to_tokens(lowerCamelCase_			)
					self.assertListEqual(
					    lowerCamelCase_  ,      [
					        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					:   List[Any]			)					->    Union[str, Any]:


					"""simple docstring"""

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

		@slow
		def 	lowercase__     (   self					:   List[str]			)					->    List[Any]:


					"""simple docstring"""

					__snake_case					:      Dict							      =     """Hello World!"""
					__snake_case					:      Any							      =     [1_85_36, 22_60, 1_01]

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

		@slow
		def 	lowercase__     (   self					:   Dict			)					->    Any:


					"""simple docstring"""

					__snake_case					:      Tuple							      =     (
					    """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"""
					)
					__snake_case					:      Tuple							      =     [
					    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(lowerCamelCase_  ,      self.big_tokenizer.encode(lowerCamelCase_			)			)

		@require_torch
		@slow
		def 	lowercase__     (   self					:   str			)					->    List[Any]:


					"""simple docstring"""

					import torch

					from transformers import BertGenerationConfig, BertGenerationEncoder

					# Build sequence
					__snake_case					:      List[Any]							      =     list(self.big_tokenizer.get_vocab().keys()			)[:10]
					__snake_case					:      Tuple							      =     """ """.join(lowerCamelCase_			)
					__snake_case					:      Dict							      =     self.big_tokenizer.encode_plus(lowerCamelCase_  ,      return_tensors="""pt"""  ,      return_token_type_ids=lowerCamelCase_			)
					__snake_case					:      Optional[Any]							      =     self.big_tokenizer.batch_encode_plus(
					    [sequence + """ """ + sequence]  ,      return_tensors="""pt"""  ,      return_token_type_ids=lowerCamelCase_			)

					__snake_case					:      str							      =     BertGenerationConfig()
					__snake_case					:      Optional[Any]							      =     BertGenerationEncoder(lowerCamelCase_			)

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

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

		@slow
		def 	lowercase__     (   self					:   Tuple			)					->    Tuple:


					"""simple docstring"""

					__snake_case					:      Tuple							      =     {"""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=lowerCamelCase_  ,      model_name="""google/bert_for_seq_generation_L-24_bbc_encoder"""  ,      revision="""c817d1fd1be2ffa69431227a1fe320544943d4db"""  ,      )









'''simple docstring'''




from __future__ import annotations



def 		__A		(  lowerCamelCase_			,			lowerCamelCase_	):


		"""simple docstring"""



		if partitions <= 0:
				raise ValueError("""partitions must be a positive number!"""	)
		if partitions > number_of_bytes:
				raise ValueError("""partitions can not > number_of_bytes!"""	)
		SCREAMING_SNAKE_CASE :				int		=			number_of_bytes // partitions
		SCREAMING_SNAKE_CASE :				int		=			[]
		for i in range(lowerCamelCase_	):
				SCREAMING_SNAKE_CASE :				Optional[Any]		=			i * bytes_per_partition + 1
				SCREAMING_SNAKE_CASE :				Optional[int]		=			(
				    number_of_bytes if i == partitions - 1 else (i + 1) * bytes_per_partition
				)
				allocation_list.append(f'''{start_bytes}-{end_bytes}'''	)
		return allocation_list


if __name__ == "__main__":
							import doctest

							doctest.testmod()



