'''simple docstring'''





import unittest

from transformers import SPIECE_UNDERLINE, ReformerTokenizer, ReformerTokenizerFast
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


SCREAMING_SNAKE_CASE_:	List[str]    =get_tests_dir('fixtures/test_sentencepiece.model')




@require_sentencepiece
@require_tokenizers
class 			__A (					UpperCamelCase__						,      unittest.TestCase      ):
    a__			:		str			  =    ReformerTokenizer
    a__			:		Optional[Any]			  =    ReformerTokenizerFast
    a__			:		Any			  =    True
    a__			:		Union[str, Any]			  =    False
    a__			:		int			  =    True



    def    _lowercase		(self       :       List[str]					):
         super().setUp()

         UpperCAmelCase_			       =  ReformerTokenizer(__a  ,     keep_accents=__a					)
         tokenizer.save_pretrained(self.tmpdirname					)



    def    _lowercase		(self       :       int					):
         UpperCAmelCase_			       =  "<s>"
         UpperCAmelCase_			       =  1

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



    def    _lowercase		(self       :       Optional[Any]					):
         UpperCAmelCase_			       =  list(self.get_tokenizer().get_vocab().keys()					)

         self.assertEqual(vocab_keys[0]  ,     "<unk>"					)
         self.assertEqual(vocab_keys[1]  ,     "<s>"					)
         self.assertEqual(vocab_keys[-1]  ,     "j"					)
         self.assertEqual(len(__a					)  ,     1000					)



    def    _lowercase		(self       :       str					):
         self.assertEqual(self.get_tokenizer().vocab_size  ,     1000					)



    def    _lowercase		(self       :       Dict					):
         if not self.test_rust_tokenizer:
              return

         UpperCAmelCase_			       =  self.get_tokenizer()
         UpperCAmelCase_			       =  self.get_rust_tokenizer()

         UpperCAmelCase_			       =  "I was born in 92000, and this is falsé."

         UpperCAmelCase_			       =  tokenizer.tokenize(__a					)
         UpperCAmelCase_			       =  rust_tokenizer.tokenize(__a					)
         self.assertListEqual(__a  ,     __a					)

         UpperCAmelCase_			       =  tokenizer.encode(__a  ,     add_special_tokens=__a					)
         UpperCAmelCase_			       =  rust_tokenizer.encode(__a  ,     add_special_tokens=__a					)
         self.assertListEqual(__a  ,     __a					)

         UpperCAmelCase_			       =  self.get_rust_tokenizer()
         UpperCAmelCase_			       =  tokenizer.encode(__a					)
         UpperCAmelCase_			       =  rust_tokenizer.encode(__a					)
         self.assertListEqual(__a  ,     __a					)



    def    _lowercase		(self       :       Union[str, Any]  ,     __a       :       List[str]=15					):
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""					):
                   UpperCAmelCase_			       =  self.rust_tokenizer_class.from_pretrained(__a  ,     **__a					)

                   # Simple input
                   UpperCAmelCase_			       =  "This is a simple input"
                   UpperCAmelCase_			       =  ["This is a simple input 1", "This is a simple input 2"]
                   UpperCAmelCase_			       =  ("This is a simple input", "This is a pair")
                   UpperCAmelCase_			       =  [
                       ("This is a simple input 1", "This is a simple input 2"),
                       ("This is a simple pair 1", "This is a simple pair 2"),
                   ]

                   # Simple input tests
                   self.assertRaises(__a  ,     tokenizer_r.encode  ,     __a  ,     max_length=__a  ,     padding="max_length"					)

                   # Simple input
                   self.assertRaises(__a  ,     tokenizer_r.encode_plus  ,     __a  ,     max_length=__a  ,     padding="max_length"					)

                   # Simple input
                   self.assertRaises(
                       __a  ,     tokenizer_r.batch_encode_plus  ,     __a  ,     max_length=__a  ,     padding="max_length"  ,     )

                   # Pair input
                   self.assertRaises(__a  ,     tokenizer_r.encode  ,     __a  ,     max_length=__a  ,     padding="max_length"					)

                   # Pair input
                   self.assertRaises(__a  ,     tokenizer_r.encode_plus  ,     __a  ,     max_length=__a  ,     padding="max_length"					)

                   # Pair input
                   self.assertRaises(
                       __a  ,     tokenizer_r.batch_encode_plus  ,     __a  ,     max_length=__a  ,     padding="max_length"  ,     )



    def    _lowercase		(self       :       Optional[Any]					):
         pass



    def    _lowercase		(self       :       Optional[int]					):
         UpperCAmelCase_			       =  ReformerTokenizer(__a  ,     keep_accents=__a					)

         UpperCAmelCase_			       =  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]  ,     )

         UpperCAmelCase_			       =  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",
                 ".",
             ]  ,     )
         UpperCAmelCase_			       =  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]  ,     )

         UpperCAmelCase_			       =  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    _lowercase		(self       :       Optional[int]					):
         return ReformerTokenizer.from_pretrained("google/reformer-crime-and-punishment"					)



    @slow
    def    _lowercase		(self       :       Union[str, Any]					):
         UpperCAmelCase_			       =  "Hello World!"
         UpperCAmelCase_			       =  [126, 32, 262, 152, 38, 72, 287]

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



    @slow
    def    _lowercase		(self       :       Optional[Any]					):
         UpperCAmelCase_			       =  (
             "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_			       =  [
             108,
             265,
             24,
             111,
             4,
             258,
             156,
             35,
             28,
             275,
             3,
             259,
             297,
             260,
             84,
             4,
             35,
             110,
             44,
             8,
             259,
             91,
             268,
             21,
             11,
             209,
             274,
             109,
             266,
             277,
             117,
             86,
             93,
             315,
             258,
             278,
             258,
             277,
             258,
             0,
             258,
             288,
             258,
             319,
             258,
             0,
             258,
             0,
             258,
             0,
             258,
             0,
             258,
             287,
             258,
             315,
             258,
             289,
             258,
             278,
             99,
             269,
             266,
             262,
             8,
             259,
             241,
             4,
             217,
             230,
             268,
             266,
             55,
             168,
             106,
             75,
             193,
             266,
             223,
             27,
             49,
             26,
             282,
             25,
             264,
             299,
             19,
             26,
             0,
             258,
             277,
             117,
             86,
             93,
             176,
             183,
             270,
             11,
             262,
             42,
             61,
             265,
         ]

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



    @require_torch
    @slow
    def    _lowercase		(self       :       Tuple					):
         import torch

         from transformers import ReformerConfig, ReformerModel

         # Build sequence
         UpperCAmelCase_			       =  list(self.big_tokenizer.get_vocab().keys()					)[:10]
         UpperCAmelCase_			       =  " ".join(__a					)
         UpperCAmelCase_			       =  self.big_tokenizer.encode_plus(__a  ,     return_tensors="pt"					)
         UpperCAmelCase_			       =  self.big_tokenizer.batch_encode_plus([sequence, sequence]  ,     return_tensors="pt"					)

         UpperCAmelCase_			       =  ReformerConfig()
         # The input gets padded during training so adjust the axial position encodings from the pretrained model value of (512, 1024)
         UpperCAmelCase_			       =  encoded_sequence["input_ids"].shape
         UpperCAmelCase_			       =  ReformerModel(__a					)

         # Reformer has config.vocab_size == tokenizer.vocab_size == len(tokenizer) - 1 = 320; len(tokenizer) is 321 (including a pad token with id 320)
         assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

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






    @slow
    def    _lowercase		(self       :       Dict					):
         # fmt: off
         UpperCAmelCase_			       =  {"input_ids": [[108, 265, 24, 111, 4, 258, 156, 7, 51, 279, 58, 7, 76, 25, 69, 278], [140, 243, 264, 134, 17, 267, 77, 263, 22, 262, 297, 258, 304, 177, 279, 266, 14, 89, 13, 35, 261, 299, 272, 137, 275, 278]], "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]]}  # noqa: E501
         # fmt: on

         # This tokenizer does not know some characters like ")".
         # That is the reason why we use very simple texts here.
         # Also see https://github.com/huggingface/transformers/pull/11737#issuecomment-850769064
         UpperCAmelCase_			       =  [
             "This is a very simple sentence.",
             "The quick brown fox jumps over the lazy dog.",
         ]

         self.tokenizer_integration_test_util(
             expected_encoding=__a  ,     model_name="google/reformer-crime-and-punishment"  ,     revision="0e6c3decb8211d49bf881013425dc8b0448b3f5a"  ,     padding=__a  ,     sequences=__a  ,     )









from ..utils import DummyObject, requires_backends





class  lowerCamelCase__	(    metaclass=UpperCAmelCase_):
     """simple docstring"""



     _A      =      ['transformers', 'torch', 'note_seq']







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






           '''simple docstring'''



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







     @classmethod
     def     _a   (cls					,      *__a					,      **__a     ):






           '''simple docstring'''



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







     @classmethod
     def     _a   (cls					,      *__a					,      **__a     ):






           '''simple docstring'''



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