
"""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


_A			:       List[str]   		=       '''▁'''

_A			:       Tuple   		=       get_tests_dir("""fixtures/test_sentencepiece.model""")

@require_sentencepiece
class 		a__						(      UpperCamelCase_,			unittest.TestCase						):
   __lowerCAmelCase            =				BertGenerationTokenizer
   __lowerCAmelCase            =				False
   __lowerCAmelCase            =				True
   def 			__magic_name__			(			self				):
          super().setUp()

          lowercase    :				Any       		=							BertGenerationTokenizer(A_	,    keep_accents=A_				)
          tokenizer.save_pretrained(self.tmpdirname				)
   def 			__magic_name__			(			self				):
          lowercase    :				Optional[int]       		=							'''<s>'''
          lowercase    :				Tuple       		=							1

          self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_				)	,    A_				)
          self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_				)	,    A_				)
   def 			__magic_name__			(			self				):
          lowercase    :				int       		=							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(A_				)	,    1_002				)
   def 			__magic_name__			(			self				):
          self.assertEqual(self.get_tokenizer().vocab_size	,    1_000				)
   def 			__magic_name__			(			self				):
          lowercase    :				int       		=							BertGenerationTokenizer(A_	,    keep_accents=A_				)

          lowercase    :				Optional[Any]       		=							tokenizer.tokenize("This is a test"				)
          self.assertListEqual(A_	,    ["▁This", "▁is", "▁a", "▁t", "est"]				)

          self.assertListEqual(
              tokenizer.convert_tokens_to_ids(A_				)	,    [285, 46, 10, 170, 382]	,    )

          lowercase    :				str       		=							tokenizer.tokenize("I was born in 92000, and this is falsé."				)
          self.assertListEqual(
              A_	,    [
                  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    :				Optional[int]       		=							tokenizer.convert_tokens_to_ids(A_				)
          self.assertListEqual(
              A_	,    [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]	,    )

          lowercase    :				int       		=							tokenizer.convert_ids_to_tokens(A_				)
          self.assertListEqual(
              A_	,    [
                  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 			__magic_name__			(			self				):
          return BertGenerationTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder"				)
   @slow
   def 			__magic_name__			(			self				):
          lowercase    :				Tuple       		=							'''Hello World!'''
          lowercase    :				Any       		=							[18_536, 2_260, 101]

          self.assertListEqual(A_	,    self.big_tokenizer.encode(A_				)				)
   @slow
   def 			__magic_name__			(			self				):
          lowercase    :				str       		=							(
              '''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    :				List[Any]       		=							[
              871,
              419,
              358,
              946,
              991,
              2_521,
              452,
              358,
              1_357,
              387,
              7_751,
              3_536,
              112,
              985,
              456,
              126,
              865,
              938,
              5_400,
              5_734,
              458,
              1_368,
              467,
              786,
              2_462,
              5_246,
              1_159,
              633,
              865,
              4_519,
              457,
              582,
              852,
              2_557,
              427,
              916,
              508,
              405,
              34_324,
              497,
              391,
              408,
              11_342,
              1_244,
              385,
              100,
              938,
              985,
              456,
              574,
              362,
              12_597,
              3_200,
              3_129,
              1_172,
          ]

          self.assertListEqual(A_	,    self.big_tokenizer.encode(A_				)				)
   @require_torch
   @slow
   def 			__magic_name__			(			self				):
          import torch

          from transformers import BertGenerationConfig, BertGenerationEncoder

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

          lowercase    :				Tuple       		=							BertGenerationConfig()
          lowercase    :				str       		=							BertGenerationEncoder(A_				)

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

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

   @slow
   def 			__magic_name__			(			self				):
          # fmt: off
          lowercase    :				str       		=							{'''input_ids''': [[39_286, 458, 36_335, 2_001, 456, 13_073, 13_266, 455, 113, 7_746, 1_741, 11_157, 391, 13_073, 13_266, 455, 113, 3_967, 35_412, 113, 4_936, 109, 3_870, 2_377, 113, 30_084, 45_720, 458, 134, 17_496, 112, 503, 11_672, 113, 118, 112, 5_665, 13_347, 38_687, 112, 1_496, 31_389, 112, 3_268, 47_264, 134, 962, 112, 16_377, 8_035, 23_130, 430, 12_169, 15_518, 28_592, 458, 146, 41_697, 109, 391, 12_169, 15_518, 16_689, 458, 146, 41_358, 109, 452, 726, 4_034, 111, 763, 35_412, 5_082, 388, 1_903, 111, 9_051, 391, 2_870, 48_918, 1_900, 1_123, 550, 998, 112, 9_586, 15_985, 455, 391, 410, 22_955, 37_636, 114], [448, 17_496, 419, 3_663, 385, 763, 113, 27_533, 2_870, 3_283, 13_043, 1_639, 24_713, 523, 656, 24_013, 18_550, 2_521, 517, 27_014, 21_244, 420, 1_212, 1_465, 391, 927, 4_833, 388, 578, 11_786, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [484, 2_169, 7_687, 21_932, 18_146, 726, 363, 17_032, 3_391, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=A_	,    model_name="google/bert_for_seq_generation_L-24_bbc_encoder"	,    revision="c817d1fd1be2ffa69431227a1fe320544943d4db"	,    )







A__  :  Any								=					'''Tobias Carryer'''

from time import time



class 				__snake_case						:




							def __init__(       self     :       Any				,				A_     :       Tuple				,				A_     :       Dict				,				A_     :       Tuple				,				A_     :       str=int(time())):  # noqa: B008
									lowerCAmelCase_			:     int									= multiplier
									lowerCAmelCase_			:     int									= increment
									lowerCAmelCase_			:     str									= modulo
									lowerCAmelCase_			:     str									= seed







							def    UpperCAmelCase__			(       self     :       int):
									lowerCAmelCase_			:     Optional[int]									= (self.multiplier * self.seed + self.increment) % self.modulo
									return self.seed


if __name__ == "__main__":
						# Show the LCG in action.
						A__  :  Union[str, Any]								=					LinearCongruentialGenerator(166_4525, 10_1390_4223, 2 << 31)
						while True:
												print(lcg.next_number())





