





import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 			UpperCamelCase_		(  _lowerCamelCase							,  unittest.TestCase					):
     lowerCAmelCase_							=	LongformerTokenizer
     lowerCAmelCase_							=	True
     lowerCAmelCase_							=	LongformerTokenizerFast
     lowerCAmelCase_							=	True




     def 	lowerCAmelCase			(		self  )		->							Union[str, Any]:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          _snake_case									=				[
              'l',
              'o',
              'w',
              'e',
              'r',
              's',
              't',
              'i',
              'd',
              'n',
              '\u0120',
              '\u0120l',
              '\u0120n',
              '\u0120lo',
              '\u0120low',
              'er',
              '\u0120lowest',
              '\u0120newer',
              '\u0120wider',
              '<unk>',
          ]
          _snake_case									=				dict(zip(lowerCAmelCase_				,						range(len(lowerCAmelCase_  )  )  )  )
          _snake_case									=				['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
          _snake_case									=				{'unk_token': '<unk>'}

          _snake_case									=				os.path.join(self.tmpdirname				,						VOCAB_FILES_NAMES['vocab_file']  )
          _snake_case									=				os.path.join(self.tmpdirname				,						VOCAB_FILES_NAMES['merges_file']  )
          with open(self.vocab_file				,						'w'				,						encoding='utf-8'  ) as fp:
               fp.write(json.dumps(lowerCAmelCase_  ) + '\n'  )
          with open(self.merges_file				,						'w'				,						encoding='utf-8'  ) as fp:
               fp.write('\n'.join(lowerCAmelCase_  )  )




     def 	lowerCAmelCase			(		self				,						**lowerCAmelCase_  )		->							Tuple:
          kwargs.update(self.special_tokens_map  )
          return self.tokenizer_class.from_pretrained(self.tmpdirname				,						**lowerCAmelCase_  )




     def 	lowerCAmelCase			(		self				,						**lowerCAmelCase_  )		->							Optional[int]:
          kwargs.update(self.special_tokens_map  )
          return self.rust_tokenizer_class.from_pretrained(self.tmpdirname				,						**lowerCAmelCase_  )




     def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							str:
          _snake_case									=				'lower newer'
          _snake_case									=				'lower newer'
          return input_text, output_text




     def 	lowerCAmelCase			(		self  )		->							Dict:
          _snake_case									=				self.tokenizer_class(self.vocab_file				,						self.merges_file				,						**self.special_tokens_map  )
          _snake_case									=				'lower newer'
          _snake_case									=				['l', 'o', 'w', 'er', '\u0120', 'n', 'e', 'w', 'er']
          _snake_case									=				tokenizer.tokenize(lowerCAmelCase_  )  # , add_prefix_space=True)
          self.assertListEqual(lowerCAmelCase_				,						lowerCAmelCase_  )

          _snake_case									=				tokens + [tokenizer.unk_token]
          _snake_case									=				[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_  )				,						lowerCAmelCase_  )




     def 	lowerCAmelCase			(		self  )		->							List[Any]:
          _snake_case									=				self.get_tokenizer()

          self.assertListEqual(tokenizer.encode('Hello world!'				,						add_special_tokens=lowerCAmelCase_  )				,						[0, 3_1414, 232, 328, 2]  )
          self.assertListEqual(
              tokenizer.encode('Hello world! cécé herlolip 418'				,						add_special_tokens=lowerCAmelCase_  )				,						[0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]				,						)




     @slow
     def 	lowerCAmelCase			(		self  )		->							Union[str, Any]:
          _snake_case									=				self.tokenizer_class.from_pretrained('allenai/longformer-base-4096'  )

          _snake_case									=				tokenizer.encode('sequence builders'				,						add_special_tokens=lowerCAmelCase_  )
          _snake_case									=				tokenizer.encode('multi-sequence build'				,						add_special_tokens=lowerCAmelCase_  )

          _snake_case									=				tokenizer.encode(
              'sequence builders'				,						add_special_tokens=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_  )
          _snake_case									=				tokenizer.encode(
              'sequence builders'				,						'multi-sequence build'				,						add_special_tokens=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_  )

          _snake_case									=				tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_  )
          _snake_case									=				tokenizer.build_inputs_with_special_tokens(lowerCAmelCase_				,						lowerCAmelCase_  )

          assert encoded_sentence == encoded_text_from_decode
          assert encoded_pair == encoded_pair_from_decode




     def 	lowerCAmelCase			(		self  )		->							int:
          _snake_case									=				self.get_tokenizer()

          _snake_case									=				'Encode this sequence.'
          _snake_case									=				tokenizer.byte_encoder[' '.encode('utf-8'  )[0]]

          # Testing encoder arguments
          _snake_case									=				tokenizer.encode(lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_  )
          _snake_case									=				tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
          self.assertNotEqual(lowerCAmelCase_				,						lowerCAmelCase_  )

          _snake_case									=				tokenizer.encode(lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_  )
          _snake_case									=				tokenizer.convert_ids_to_tokens(encoded[0]  )[0]
          self.assertEqual(lowerCAmelCase_				,						lowerCAmelCase_  )

          tokenizer.add_special_tokens({'bos_token': '<s>'}  )
          _snake_case									=				tokenizer.encode(lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
          _snake_case									=				tokenizer.convert_ids_to_tokens(encoded[1]  )[0]
          self.assertNotEqual(lowerCAmelCase_				,						lowerCAmelCase_  )

          # Testing spaces after special tokens
          _snake_case									=				'<mask>'
          tokenizer.add_special_tokens(
              {'mask_token': AddedToken(lowerCAmelCase_				,						lstrip=lowerCAmelCase_				,						rstrip=lowerCAmelCase_  )}  )  # mask token has a left space
          _snake_case									=				tokenizer.convert_tokens_to_ids(lowerCAmelCase_  )

          _snake_case									=				'Encode <mask> sequence'
          _snake_case									=				'Encode <mask>sequence'

          _snake_case									=				tokenizer.encode(lowerCAmelCase_  )
          _snake_case									=				encoded.index(lowerCAmelCase_  )
          _snake_case									=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
          self.assertEqual(lowerCAmelCase_				,						lowerCAmelCase_  )

          _snake_case									=				tokenizer.encode(lowerCAmelCase_  )
          _snake_case									=				encoded.index(lowerCAmelCase_  )
          _snake_case									=				tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]  )[0]
          self.assertNotEqual(lowerCAmelCase_				,						lowerCAmelCase_  )




     def 	lowerCAmelCase			(		self  )		->							List[Any]:
          pass




     def 	lowerCAmelCase			(		self  )		->							Dict:
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_				,						**lowerCAmelCase_  )
                    _snake_case									=				self.tokenizer_class.from_pretrained(lowerCAmelCase_				,						**lowerCAmelCase_  )
                    _snake_case									=				'A, <mask> AllenNLP sentence.'
                    _snake_case									=				tokenizer_r.encode_plus(lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_				,						return_token_type_ids=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_p.encode_plus(lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_				,						return_token_type_ids=lowerCAmelCase_  )

                    # token_type_ids should put 0 everywhere
                    self.assertEqual(sum(tokens_r['token_type_ids']  )				,						sum(tokens_p['token_type_ids']  )  )

                    # attention_mask should put 1 everywhere, so sum over length should be 1
                    self.assertEqual(
                        sum(tokens_r['attention_mask']  ) / len(tokens_r['attention_mask']  )				,						sum(tokens_p['attention_mask']  ) / len(tokens_p['attention_mask']  )				,						)

                    _snake_case									=				tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids']  )
                    _snake_case									=				tokenizer_p.convert_ids_to_tokens(tokens_p['input_ids']  )

                    # Rust correctly handles the space before the mask while python doesnt
                    self.assertSequenceEqual(tokens_p['input_ids']				,						[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]  )
                    self.assertSequenceEqual(tokens_r['input_ids']				,						[0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]  )

                    self.assertSequenceEqual(
                        lowerCAmelCase_				,						['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']  )
                    self.assertSequenceEqual(
                        lowerCAmelCase_				,						['<s>', 'A', ',', '<mask>', 'ĠAllen', 'N', 'LP', 'Ġsentence', '.', '</s>']  )




     def 	lowerCAmelCase			(		self  )		->							Optional[int]:
          for trim_offsets, add_prefix_space in itertools.product([True, False]				,						repeat=2  ):
               _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                   self.tmpdirname				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )

               _snake_case									=				json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()  )
               _snake_case									=				json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()  )

               self.assertEqual(pre_tokenizer_state['add_prefix_space']				,						lowerCAmelCase_  )

               self.assertEqual(post_processor_state['add_prefix_space']				,						lowerCAmelCase_  )
               self.assertEqual(post_processor_state['trim_offsets']				,						lowerCAmelCase_  )






     def 	lowerCAmelCase			(		self  )		->							List[str]:
          # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
          # `trim_offsets`
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
               with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
                    _snake_case									=				'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                    _snake_case									=				F'''{text_of_1_token} {text_of_1_token}'''

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(0, len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(len(lowerCAmelCase_  ) + 1, len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(0, len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(len(lowerCAmelCase_  ) + 1, len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(0, len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(len(lowerCAmelCase_  ), len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(0, len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(len(lowerCAmelCase_  ), len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)

                    _snake_case									=				F''' {text}'''

                    # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                    #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
                    # )
                    # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
                    # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
                    # self.assertEqual(
                    #     encoding.offset_mapping[1],
                    #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
                    # )

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(1, 1 + len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(1 + len(lowerCAmelCase_  ) + 1, 1 + len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(0, 1 + len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(1 + len(lowerCAmelCase_  ), 1 + len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)

                    _snake_case									=				self.rust_tokenizer_class.from_pretrained(
                        lowerCAmelCase_				,						use_fast=lowerCAmelCase_				,						add_prefix_space=lowerCAmelCase_				,						trim_offsets=lowerCAmelCase_  )
                    _snake_case									=				tokenizer_r(lowerCAmelCase_				,						return_offsets_mapping=lowerCAmelCase_				,						add_special_tokens=lowerCAmelCase_  )
                    self.assertEqual(encoding.offset_mapping[0]				,						(0, 1 + len(lowerCAmelCase_  ))  )
                    self.assertEqual(
                        encoding.offset_mapping[1]				,						(1 + len(lowerCAmelCase_  ), 1 + len(lowerCAmelCase_  ) + 1 + len(lowerCAmelCase_  ))				,						)










from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_      							=     logging.get_logger(__name__)

UpperCAmelCase_      							=     {
    """sayakpaul/vit-msn-base""": """https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json""",
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}
class 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''vit_msn'''




					def __init__(		self				,						lowerCAmelCase_=768				,						lowerCAmelCase_=12				,						lowerCAmelCase_=12				,						lowerCAmelCase_=3072				,						lowerCAmelCase_="gelu"				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.02				,						lowerCAmelCase_=1E-06				,						lowerCAmelCase_=224				,						lowerCAmelCase_=16				,						lowerCAmelCase_=3				,						lowerCAmelCase_=True				,						**lowerCAmelCase_				,						)		->							str:
										super().__init__(**lowerCAmelCase_  )

										_snake_case									=				hidden_size
										_snake_case									=				num_hidden_layers
										_snake_case									=				num_attention_heads
										_snake_case									=				intermediate_size
										_snake_case									=				hidden_act
										_snake_case									=				hidden_dropout_prob
										_snake_case									=				attention_probs_dropout_prob
										_snake_case									=				initializer_range
										_snake_case									=				layer_norm_eps
										_snake_case									=				image_size
										_snake_case									=				patch_size
										_snake_case									=				num_channels
										_snake_case									=				qkv_bias



