




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


_lowerCamelCase      			=						get_tests_dir('fixtures/test_sentencepiece.model')



@require_sentencepiece
@require_tokenizers
class       a					(       _A     ,       unittest.TestCase      ):

     '''simple docstring'''





     lowerCAmelCase    :	List[Any]       		=  ReformerTokenizer
     lowerCAmelCase    :	str       		=  ReformerTokenizerFast
     lowerCAmelCase    :	Dict       		=  True
     lowerCAmelCase    :	str       		=  False
     lowerCAmelCase    :	Dict       		=  True
     def   lowerCamelCase_       (     self       :      List[Any]    ):
         super().setUp()

         UpperCAmelCase_										=					ReformerTokenizer(__snake_case ,   keep_accents=__snake_case    )
         tokenizer.save_pretrained(self.tmpdirname    )
     def   lowerCamelCase_       (     self       :      Union[str, Any]    ):
         UpperCAmelCase_										=					'''<s>'''
         UpperCAmelCase_										=					1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(__snake_case    ) ,   __snake_case    )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(__snake_case    ) ,   __snake_case    )
     def   lowerCamelCase_       (     self       :      Union[str, 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(__snake_case    ) ,   10_00    )
     def   lowerCamelCase_       (     self       :      str    ):
         self.assertEqual(self.get_tokenizer().vocab_size ,   10_00    )
     def   lowerCamelCase_       (     self       :      Optional[int]    ):
         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(__snake_case    )
         UpperCAmelCase_										=					rust_tokenizer.tokenize(__snake_case    )
         self.assertListEqual(__snake_case ,   __snake_case    )

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

         UpperCAmelCase_										=					self.get_rust_tokenizer()
         UpperCAmelCase_										=					tokenizer.encode(__snake_case    )
         UpperCAmelCase_										=					rust_tokenizer.encode(__snake_case    )
         self.assertListEqual(__snake_case ,   __snake_case    )
     def   lowerCamelCase_       (     self       :      Dict ,   __snake_case       :      Optional[Any]=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(__snake_case ,   **__snake_case    )

                 # 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(__snake_case ,   tokenizer_r.encode ,   __snake_case ,   max_length=__snake_case ,   padding='''max_length'''    )

                 # Simple input
                 self.assertRaises(__snake_case ,   tokenizer_r.encode_plus ,   __snake_case ,   max_length=__snake_case ,   padding='''max_length'''    )

                 # Simple input
                 self.assertRaises(
                     __snake_case ,   tokenizer_r.batch_encode_plus ,   __snake_case ,   max_length=__snake_case ,   padding='''max_length''' ,   )

                 # Pair input
                 self.assertRaises(__snake_case ,   tokenizer_r.encode ,   __snake_case ,   max_length=__snake_case ,   padding='''max_length'''    )

                 # Pair input
                 self.assertRaises(__snake_case ,   tokenizer_r.encode_plus ,   __snake_case ,   max_length=__snake_case ,   padding='''max_length'''    )

                 # Pair input
                 self.assertRaises(
                     __snake_case ,   tokenizer_r.batch_encode_plus ,   __snake_case ,   max_length=__snake_case ,   padding='''max_length''' ,   )
     def   lowerCamelCase_       (     self       :      Tuple    ):
         pass
     def   lowerCamelCase_       (     self       :      Tuple    ):
         UpperCAmelCase_										=					ReformerTokenizer(__snake_case ,   keep_accents=__snake_case    )

         UpperCAmelCase_										=					tokenizer.tokenize('''This is a test'''    )
         self.assertListEqual(__snake_case ,   ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']    )

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

         UpperCAmelCase_										=					tokenizer.tokenize('''I was born in 92000, and this is falsé.'''    )
         self.assertListEqual(
             __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''',
                 '''.''',
             ] ,   )
         UpperCAmelCase_										=					tokenizer.convert_tokens_to_ids(__snake_case    )
         self.assertListEqual(
             __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] ,   )

         UpperCAmelCase_										=					tokenizer.convert_ids_to_tokens(__snake_case    )
         self.assertListEqual(
             __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   lowerCamelCase_       (     self       :      Tuple    ):
         return ReformerTokenizer.from_pretrained('''google/reformer-crime-and-punishment'''    )
     @slow
     def   lowerCamelCase_       (     self       :      int    ):
         UpperCAmelCase_										=					'''Hello World!'''
         UpperCAmelCase_										=					[1_26, 32, 2_62, 1_52, 38, 72, 2_87]

         self.assertListEqual(__snake_case ,   self.big_tokenizer.encode(__snake_case    )    )
     @slow
     def   lowerCamelCase_       (     self       :      str    ):
         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_										=					[
             1_08,
             2_65,
             24,
             1_11,
             4,
             2_58,
             1_56,
             35,
             28,
             2_75,
             3,
             2_59,
             2_97,
             2_60,
             84,
             4,
             35,
             1_10,
             44,
             8,
             2_59,
             91,
             2_68,
             21,
             11,
             2_09,
             2_74,
             1_09,
             2_66,
             2_77,
             1_17,
             86,
             93,
             3_15,
             2_58,
             2_78,
             2_58,
             2_77,
             2_58,
             0,
             2_58,
             2_88,
             2_58,
             3_19,
             2_58,
             0,
             2_58,
             0,
             2_58,
             0,
             2_58,
             0,
             2_58,
             2_87,
             2_58,
             3_15,
             2_58,
             2_89,
             2_58,
             2_78,
             99,
             2_69,
             2_66,
             2_62,
             8,
             2_59,
             2_41,
             4,
             2_17,
             2_30,
             2_68,
             2_66,
             55,
             1_68,
             1_06,
             75,
             1_93,
             2_66,
             2_23,
             27,
             49,
             26,
             2_82,
             25,
             2_64,
             2_99,
             19,
             26,
             0,
             2_58,
             2_77,
             1_17,
             86,
             93,
             1_76,
             1_83,
             2_70,
             11,
             2_62,
             42,
             61,
             2_65,
         ]

         self.assertListEqual(__snake_case ,   self.big_tokenizer.encode(__snake_case    )    )
     @require_torch
     @slow
     def   lowerCamelCase_       (     self       :      List[Any]    ):
         import torch

         from transformers import ReformerConfig, ReformerModel

         # Build sequence
         UpperCAmelCase_										=					list(self.big_tokenizer.get_vocab().keys()    )[:10]
         UpperCAmelCase_										=					''' '''.join(__snake_case    )
         UpperCAmelCase_										=					self.big_tokenizer.encode_plus(__snake_case ,   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(__snake_case    )

         # 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(**__snake_case    )
             model(**__snake_case    )




     @slow
     def   lowerCamelCase_       (     self       :      Optional[Any]    ):
         # fmt: off
         UpperCAmelCase_										=					{'''input_ids''': [[1_08, 2_65, 24, 1_11, 4, 2_58, 1_56, 7, 51, 2_79, 58, 7, 76, 25, 69, 2_78], [1_40, 2_43, 2_64, 1_34, 17, 2_67, 77, 2_63, 22, 2_62, 2_97, 2_58, 3_04, 1_77, 2_79, 2_66, 14, 89, 13, 35, 2_61, 2_99, 2_72, 1_37, 2_75, 2_78]], '''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=__snake_case ,   model_name='''google/reformer-crime-and-punishment''' ,   revision='''0e6c3decb8211d49bf881013425dc8b0448b3f5a''' ,   padding=__snake_case ,   sequences=__snake_case ,   )






import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate



@dataclass(frozen=_A      )
class       a					(       _A      ):

     '''simple docstring'''





     lowerCAmelCase    :	str       		=  field(default='audio-classification'     ,       metadata={'include_in_asdict_even_if_is_default': True}      )
     lowerCAmelCase    :	ClassVar[Features]       		=  Features({'audio': Audio()}      )
     lowerCAmelCase    :	ClassVar[Features]       		=  Features({'labels': ClassLabel}      )
     lowerCAmelCase    :	str       		=  "audio"
     lowerCAmelCase    :	str       		=  "labels"
     def   lowerCamelCase_       (     self       :      Optional[Any] ,   __snake_case       :      List[Any]    ):
         if self.label_column not in features:
             raise ValueError(F'Column {self.label_column} is not present in features.'    )
         if not isinstance(features[self.label_column] ,   __snake_case    ):
             raise ValueError(F'Column {self.label_column} is not a ClassLabel.'    )
         UpperCAmelCase_										=					copy.deepcopy(self    )
         UpperCAmelCase_										=					self.label_schema.copy()
         UpperCAmelCase_										=					features[self.label_column]
         UpperCAmelCase_										=					label_schema
         return task_template




     @property
     def   lowerCamelCase_       (     self       :      Tuple    ):
         return {
             self.audio_column: "audio",
             self.label_column: "labels",
         }





