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  __magic_name__  (		__a      ,	unittest.TestCase    ):





   """simple docstring"""




   lowerCAmelCase      :    Tuple  			=   LongformerTokenizer
   lowerCAmelCase      :    Optional[Any]  			=   True
   lowerCAmelCase      :    Dict  			=   LongformerTokenizerFast
   lowerCAmelCase      :    Optional[int]  			=   True



   def   lowerCAmelCase						(	self					:  Any							):



    """simple docstring"""



    super().setUp()

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

    _UpperCamelCase:     Union[str, Any]							= os.path.join(self.tmpdirname		,  VOCAB_FILES_NAMES['''vocab_file''']							)
    _UpperCamelCase:     Tuple							= 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(_lowercase							) + '''\n'''							)
    with open(self.merges_file		,  '''w'''		,  encoding='''utf-8'''							) as fp:
     fp.write('''\n'''.join(_lowercase							)							)



   def   lowerCAmelCase						(	self					:  str		,  **_lowercase					:  Optional[int]							):



    """simple docstring"""



    kwargs.update(self.special_tokens_map							)
    return self.tokenizer_class.from_pretrained(self.tmpdirname		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  str		,  **_lowercase					:  Any							):



    """simple docstring"""



    kwargs.update(self.special_tokens_map							)
    return self.rust_tokenizer_class.from_pretrained(self.tmpdirname		,  **_lowercase							)



   def   lowerCAmelCase						(	self					:  str		,  _lowercase					:  Union[str, Any]							):



    """simple docstring"""



    _UpperCamelCase:     List[Any]							= '''lower newer'''
    _UpperCamelCase:     Any							= '''lower newer'''
    return input_text, output_text



   def   lowerCAmelCase						(	self					:  str							):



    """simple docstring"""



    _UpperCamelCase:     List[Any]							= self.tokenizer_class(self.vocab_file		,  self.merges_file		,  **self.special_tokens_map							)
    _UpperCamelCase:     Optional[int]							= '''lower newer'''
    _UpperCamelCase:     int							= ['''l''', '''o''', '''w''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
    _UpperCamelCase:     str							= tokenizer.tokenize(_lowercase							)  # , add_prefix_space=True)
    self.assertListEqual(_lowercase		,  _lowercase							)

    _UpperCamelCase:     Dict							= tokens + [tokenizer.unk_token]
    _UpperCamelCase:     List[str]							= [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase							)		,  _lowercase							)



   def   lowerCAmelCase						(	self					:  int							):



    """simple docstring"""



    _UpperCamelCase:     List[str]							= self.get_tokenizer()

    self.assertListEqual(tokenizer.encode('''Hello world!'''		,  add_special_tokens=_lowercase							)		,  [0, 31_414, 232, 328, 2]							)
    self.assertListEqual(
        tokenizer.encode('''Hello world! cécé herlolip 418'''		,  add_special_tokens=_lowercase							)		,  [0, 31_414, 232, 328, 740, 1_140, 12_695, 69, 46_078, 1_588, 2]		,  )



   @slow
   def   lowerCAmelCase						(	self					:  List[str]							):



    """simple docstring"""



    _UpperCamelCase:     Tuple							= self.tokenizer_class.from_pretrained('''allenai/longformer-base-4096'''							)

    _UpperCamelCase:     Any							= tokenizer.encode('''sequence builders'''		,  add_special_tokens=_lowercase							)
    _UpperCamelCase:     int							= tokenizer.encode('''multi-sequence build'''		,  add_special_tokens=_lowercase							)

    _UpperCamelCase:     Any							= tokenizer.encode(
        '''sequence builders'''		,  add_special_tokens=_lowercase		,  add_prefix_space=_lowercase							)
    _UpperCamelCase:     int							= tokenizer.encode(
        '''sequence builders'''		,  '''multi-sequence build'''		,  add_special_tokens=_lowercase		,  add_prefix_space=_lowercase							)

    _UpperCamelCase:     List[Any]							= tokenizer.build_inputs_with_special_tokens(_lowercase							)
    _UpperCamelCase:     Dict							= tokenizer.build_inputs_with_special_tokens(_lowercase		,  _lowercase							)

    assert encoded_sentence == encoded_text_from_decode
    assert encoded_pair == encoded_pair_from_decode



   def   lowerCAmelCase						(	self					:  List[Any]							):



    """simple docstring"""



    _UpperCamelCase:     List[str]							= self.get_tokenizer()

    _UpperCamelCase:     Optional[int]							= '''Encode this sequence.'''
    _UpperCamelCase:     Dict							= tokenizer.byte_encoder[''' '''.encode('''utf-8'''							)[0]]

    # Testing encoder arguments
    _UpperCamelCase:     Optional[Any]							= tokenizer.encode(_lowercase		,  add_special_tokens=_lowercase		,  add_prefix_space=_lowercase							)
    _UpperCamelCase:     List[Any]							= tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
    self.assertNotEqual(_lowercase		,  _lowercase							)

    _UpperCamelCase:     Any							= tokenizer.encode(_lowercase		,  add_special_tokens=_lowercase		,  add_prefix_space=_lowercase							)
    _UpperCamelCase:     Dict							= tokenizer.convert_ids_to_tokens(encoded[0]							)[0]
    self.assertEqual(_lowercase		,  _lowercase							)

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

    # Testing spaces after special tokens
    _UpperCamelCase:     Union[str, Any]							= '''<mask>'''
    tokenizer.add_special_tokens(
        {'''mask_token''': AddedToken(_lowercase		,  lstrip=_lowercase		,  rstrip=_lowercase							)}							)  # mask token has a left space
    _UpperCamelCase:     Dict							= tokenizer.convert_tokens_to_ids(_lowercase							)

    _UpperCamelCase:     str							= '''Encode <mask> sequence'''
    _UpperCamelCase:     List[str]							= '''Encode <mask>sequence'''

    _UpperCamelCase:     Any							= tokenizer.encode(_lowercase							)
    _UpperCamelCase:     Dict							= encoded.index(_lowercase							)
    _UpperCamelCase:     str							= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
    self.assertEqual(_lowercase		,  _lowercase							)

    _UpperCamelCase:     List[str]							= tokenizer.encode(_lowercase							)
    _UpperCamelCase:     Any							= encoded.index(_lowercase							)
    _UpperCamelCase:     int							= tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]							)[0]
    self.assertNotEqual(_lowercase		,  _lowercase							)



   def   lowerCAmelCase						(	self					:  List[str]							):



    """simple docstring"""



    pass



   def   lowerCAmelCase						(	self					:  List[str]							):



    """simple docstring"""



    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
      _UpperCamelCase:     Dict							= self.rust_tokenizer_class.from_pretrained(_lowercase		,  **_lowercase							)
      _UpperCamelCase:     Dict							= self.tokenizer_class.from_pretrained(_lowercase		,  **_lowercase							)
      _UpperCamelCase:     int							= '''A, <mask> AllenNLP sentence.'''
      _UpperCamelCase:     int							= tokenizer_r.encode_plus(_lowercase		,  add_special_tokens=_lowercase		,  return_token_type_ids=_lowercase							)
      _UpperCamelCase:     Dict							= tokenizer_p.encode_plus(_lowercase		,  add_special_tokens=_lowercase		,  return_token_type_ids=_lowercase							)

      # 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''']							)		,  )

      _UpperCamelCase:     int							= tokenizer_r.convert_ids_to_tokens(tokens_r['''input_ids''']							)
      _UpperCamelCase:     Any							= 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, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]							)
      self.assertSequenceEqual(tokens_r['''input_ids''']		,  [0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2]							)

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



   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



    for trim_offsets, add_prefix_space in itertools.product([True, False]		,  repeat=2							):
     _UpperCamelCase:     List[str]							= self.rust_tokenizer_class.from_pretrained(
         self.tmpdirname		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)

     _UpperCamelCase:     List[str]							= json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()							)
     _UpperCamelCase:     Optional[Any]							= json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()							)

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

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



   def   lowerCAmelCase						(	self					:  Optional[Any]							):



    """simple docstring"""



    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""							):
      _UpperCamelCase:     Tuple							= '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
      _UpperCamelCase:     Any							= f"""{text_of_1_token} {text_of_1_token}"""

      _UpperCamelCase:     Tuple							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     List[Any]							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (0, len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (len(_lowercase							) + 1, len(_lowercase							) + 1 + len(_lowercase							))		,  )

      _UpperCamelCase:     Dict							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     int							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (0, len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (len(_lowercase							) + 1, len(_lowercase							) + 1 + len(_lowercase							))		,  )

      _UpperCamelCase:     List[Any]							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     str							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (0, len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (len(_lowercase							), len(_lowercase							) + 1 + len(_lowercase							))		,  )

      _UpperCamelCase:     Dict							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     int							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (0, len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (len(_lowercase							), len(_lowercase							) + 1 + len(_lowercase							))		,  )

      _UpperCamelCase:     Union[str, Any]							= 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)),
      # )

      _UpperCamelCase:     Dict							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     List[Any]							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (1, 1 + len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (1 + len(_lowercase							) + 1, 1 + len(_lowercase							) + 1 + len(_lowercase							))		,  )

      _UpperCamelCase:     List[Any]							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     Union[str, Any]							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (0, 1 + len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (1 + len(_lowercase							), 1 + len(_lowercase							) + 1 + len(_lowercase							))		,  )

      _UpperCamelCase:     Dict							= self.rust_tokenizer_class.from_pretrained(
          _lowercase		,  use_fast=_lowercase		,  add_prefix_space=_lowercase		,  trim_offsets=_lowercase							)
      _UpperCamelCase:     Optional[int]							= tokenizer_r(_lowercase		,  return_offsets_mapping=_lowercase		,  add_special_tokens=_lowercase							)
      self.assertEqual(encoding.offset_mapping[0]		,  (0, 1 + len(_lowercase							))							)
      self.assertEqual(
          encoding.offset_mapping[1]		,  (1 + len(_lowercase							), 1 + len(_lowercase							) + 1 + len(_lowercase							))		,  )
import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


UpperCAmelCase_			    =							logging.get_logger(__name__)




class  __magic_name__  (		__a    ):





   """simple docstring"""




   def __init__(	self					:  str		,  *_lowercase					:  str		,  **_lowercase					:  int							):



    """simple docstring"""



    warnings.warn(
        '''The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
        ''' Please use PerceiverImageProcessor instead.'''		,  _lowercase		,  )
    super().__init__(*_lowercase		,  **_lowercase							)