



'''simple docstring'''





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..bit import BitConfig


A__    :   Dict           =					logging.get_logger(__name__)

A__    :   Optional[Any]           =					{
    '''Intel/dpt-large''': '''https://huggingface.co/Intel/dpt-large/resolve/main/config.json''',
    # See all DPT models at https://huggingface.co/models?filter=dpt
}



class  snake_case__						(    SCREAMING_SNAKE_CASE_				):
 A__				= '''dpt'''
 def __init__(   self						:							Dict      ,     __a						:							Optional[Any]=768      ,     __a						:							List[str]=12      ,     __a						:							str=12      ,     __a						:							Optional[Any]=3072      ,     __a						:							Tuple="gelu"      ,     __a						:							List[str]=0.0      ,     __a						:							List[str]=0.0      ,     __a						:							int=0.0_2      ,     __a						:							Union[str, Any]=1e-12      ,     __a						:							List[str]=384      ,     __a						:							Dict=16      ,     __a						:							int=3      ,     __a						:							Optional[int]=False      ,     __a						:							Tuple=True      ,     __a						:							Optional[int]=[2, 5, 8, 11]      ,     __a						:							Union[str, Any]="project"      ,     __a						:							int=[4, 2, 1, 0.5]      ,     __a						:							int=[96, 192, 384, 768]      ,     __a						:							Any=256      ,     __a						:							str=-1      ,     __a						:							Optional[int]=False      ,     __a						:							Union[str, Any]=True      ,     __a						:							Optional[Any]=0.4      ,     __a						:							Optional[Any]=255      ,     __a						:							List[str]=0.1      ,     __a						:							Any=[1, 1024, 24, 24]      ,     __a						:							Optional[int]=[0, 1]      ,     __a						:							List[Any]=None      ,     **__a						:							Tuple      ,     )      ->   str:







       '''simple docstring'''
       super().__init__(**__a  )

       __snake_case :   int													=    hidden_size
       __snake_case :   List[str]													=    is_hybrid

       if self.is_hybrid:
             if backbone_config is None:
                   logger.info('Initializing the config with a `BiT` backbone.'  )
                   __snake_case :   List[str]													=    {
                       'global_padding': 'same',
                       'layer_type': 'bottleneck',
                       'depths': [3, 4, 9],
                       'out_features': ['stage1', 'stage2', 'stage3'],
                       'embedding_dynamic_padding': True,
                   }
                   __snake_case :   Tuple													=    BitConfig(**__a  )
             elif isinstance(__a      ,     __a  ):
                   logger.info('Initializing the config with a `BiT` backbone.'  )
                   __snake_case :   List[str]													=    BitConfig(**__a  )
             elif isinstance(__a      ,     __a  ):
                   __snake_case :   int													=    backbone_config
             else:
                   raise ValueError(
                       f'''backbone_config must be a dictionary or a `PretrainedConfig`, got {backbone_config.__class__}.'''  )

             __snake_case :   str													=    backbone_featmap_shape
             __snake_case :   Optional[Any]													=    neck_ignore_stages

             if readout_type != "project":
                   raise ValueError('Readout type must be \'project\' when using `DPT-hybrid` mode.'  )
       else:
             __snake_case :   List[str]													=    None
             __snake_case :   List[str]													=    None
             __snake_case :   Tuple													=    []

       __snake_case :   str													=    num_hidden_layers
       __snake_case :   List[str]													=    num_attention_heads
       __snake_case :   Optional[int]													=    intermediate_size
       __snake_case :   Optional[Any]													=    hidden_act
       __snake_case :   str													=    hidden_dropout_prob
       __snake_case :   Union[str, Any]													=    attention_probs_dropout_prob
       __snake_case :   Any													=    initializer_range
       __snake_case :   Optional[Any]													=    layer_norm_eps
       __snake_case :   Union[str, Any]													=    image_size
       __snake_case :   Dict													=    patch_size
       __snake_case :   Optional[int]													=    num_channels
       __snake_case :   Union[str, Any]													=    qkv_bias
       __snake_case :   int													=    backbone_out_indices
       if readout_type not in ["ignore", "add", "project"]:
             raise ValueError('Readout_type must be one of [\'ignore\', \'add\', \'project\']'  )
       __snake_case :   List[str]													=    readout_type
       __snake_case :   str													=    reassemble_factors
       __snake_case :   Union[str, Any]													=    neck_hidden_sizes
       __snake_case :   Tuple													=    fusion_hidden_size
       __snake_case :   Optional[int]													=    head_in_index
       __snake_case :   str													=    use_batch_norm_in_fusion_residual
       # auxiliary head attributes (semantic segmentation)
       __snake_case :   List[str]													=    use_auxiliary_head
       __snake_case :   Any													=    auxiliary_loss_weight
       __snake_case :   List[str]													=    semantic_loss_ignore_index
       __snake_case :   str													=    semantic_classifier_dropout





 def A_   (   self						:							str  )      ->   int:







       '''simple docstring'''
       __snake_case :   Union[str, Any]													=    copy.deepcopy(self.__dict__  )

       if output["backbone_config"] is not None:
             __snake_case :   Optional[Any]													=    self.backbone_config.to_dict()

       __snake_case :   Any													=    self.__class__.model_type
       return output








'''simple docstring'''





import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class  snake_case__						(    SCREAMING_SNAKE_CASE_  ,     unittest.TestCase				):
 A__				= BertTokenizer
 A__				= BertTokenizerFast
 A__				= True
 A__				= True
 A__				= filter_non_english
 def A_   (   self						:							Optional[Any]  )      ->   Dict:







       '''simple docstring'''
       super().setUp()

       __snake_case :   List[Any]													=    [
           '[UNK]',
           '[CLS]',
           '[SEP]',
           '[PAD]',
           '[MASK]',
           'want',
           '##want',
           '##ed',
           'wa',
           'un',
           'runn',
           '##ing',
           ',',
           'low',
           'lowest',
       ]
       __snake_case :   Optional[int]													=    os.path.join(self.tmpdirname      ,     VOCAB_FILES_NAMES['vocab_file']  )
       with open(self.vocab_file      ,     'w'      ,     encoding='utf-8'  ) as vocab_writer:
             vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]  )  )
 def A_   (   self						:							Dict      ,     __a						:							Optional[int]  )      ->   int:







       '''simple docstring'''
       __snake_case :   List[Any]													=    'UNwant\u00E9d,running'
       __snake_case :   Tuple													=    'unwanted, running'
       return input_text, output_text
 def A_   (   self						:							Tuple  )      ->   Dict:







       '''simple docstring'''
       __snake_case :   Any													=    self.tokenizer_class(self.vocab_file  )

       __snake_case :   Tuple													=    tokenizer.tokenize('UNwant\u00E9d,running'  )
       self.assertListEqual(__a      ,     ['un', '##want', '##ed', ',', 'runn', '##ing']  )
       self.assertListEqual(tokenizer.convert_tokens_to_ids(__a  )      ,     [9, 6, 7, 12, 10, 11]  )
 def A_   (   self						:							Optional[Any]  )      ->   Tuple:







       '''simple docstring'''
       if not self.test_rust_tokenizer:
             return

       __snake_case :   int													=    self.get_tokenizer()
       __snake_case :   Optional[Any]													=    self.get_rust_tokenizer()

       __snake_case :   int													=    'UNwant\u00E9d,running'

       __snake_case :   Any													=    tokenizer.tokenize(__a  )
       __snake_case :   Dict													=    rust_tokenizer.tokenize(__a  )
       self.assertListEqual(__a      ,     __a  )

       __snake_case :   Optional[int]													=    tokenizer.encode(__a      ,     add_special_tokens=__a  )
       __snake_case :   Optional[int]													=    rust_tokenizer.encode(__a      ,     add_special_tokens=__a  )
       self.assertListEqual(__a      ,     __a  )

       __snake_case :   str													=    self.get_rust_tokenizer()
       __snake_case :   Tuple													=    tokenizer.encode(__a  )
       __snake_case :   Tuple													=    rust_tokenizer.encode(__a  )
       self.assertListEqual(__a      ,     __a  )

       # With lower casing
       __snake_case :   Union[str, Any]													=    self.get_tokenizer(do_lower_case=__a  )
       __snake_case :   Any													=    self.get_rust_tokenizer(do_lower_case=__a  )

       __snake_case :   Optional[int]													=    'UNwant\u00E9d,running'

       __snake_case :   List[Any]													=    tokenizer.tokenize(__a  )
       __snake_case :   List[str]													=    rust_tokenizer.tokenize(__a  )
       self.assertListEqual(__a      ,     __a  )

       __snake_case :   List[str]													=    tokenizer.encode(__a      ,     add_special_tokens=__a  )
       __snake_case :   Union[str, Any]													=    rust_tokenizer.encode(__a      ,     add_special_tokens=__a  )
       self.assertListEqual(__a      ,     __a  )

       __snake_case :   Union[str, Any]													=    self.get_rust_tokenizer()
       __snake_case :   Dict													=    tokenizer.encode(__a  )
       __snake_case :   str													=    rust_tokenizer.encode(__a  )
       self.assertListEqual(__a      ,     __a  )
 def A_   (   self						:							Tuple  )      ->   Optional[int]:







       '''simple docstring'''
       __snake_case :   Optional[Any]													=    BasicTokenizer()

       self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'  )      ,     ['ah', '\u535A', '\u63A8', 'zz']  )
 def A_   (   self						:							List[str]  )      ->   Any:







       '''simple docstring'''
       __snake_case :   Optional[Any]													=    BasicTokenizer(do_lower_case=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '  )      ,     ['hello', '!', 'how', 'are', 'you', '?']  )
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  )      ,     ['hello']  )
 def A_   (   self						:							str  )      ->   int:







       '''simple docstring'''
       __snake_case :   Dict													=    BasicTokenizer(do_lower_case=__a      ,     strip_accents=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  )      ,     ['hällo', '!', 'how', 'are', 'you', '?']  )
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  )      ,     ['h\u00E9llo']  )
 def A_   (   self						:							List[str]  )      ->   Tuple:







       '''simple docstring'''
       __snake_case :   str													=    BasicTokenizer(do_lower_case=__a      ,     strip_accents=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  )      ,     ['hallo', '!', 'how', 'are', 'you', '?']  )
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  )      ,     ['hello']  )
 def A_   (   self						:							str  )      ->   str:







       '''simple docstring'''
       __snake_case :   Tuple													=    BasicTokenizer(do_lower_case=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  )      ,     ['hallo', '!', 'how', 'are', 'you', '?']  )
       self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  )      ,     ['hello']  )
 def A_   (   self						:							str  )      ->   Optional[Any]:







       '''simple docstring'''
       __snake_case :   int													=    BasicTokenizer(do_lower_case=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '  )      ,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?']  )
 def A_   (   self						:							Dict  )      ->   List[str]:







       '''simple docstring'''
       __snake_case :   Any													=    BasicTokenizer(do_lower_case=__a      ,     strip_accents=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  )      ,     ['HäLLo', '!', 'how', 'Are', 'yoU', '?']  )
 def A_   (   self						:							Dict  )      ->   Union[str, Any]:







       '''simple docstring'''
       __snake_case :   List[Any]													=    BasicTokenizer(do_lower_case=__a      ,     strip_accents=__a  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  )      ,     ['HaLLo', '!', 'how', 'Are', 'yoU', '?']  )
 def A_   (   self						:							Optional[Any]  )      ->   List[Any]:







       '''simple docstring'''
       __snake_case :   List[str]													=    BasicTokenizer(do_lower_case=__a      ,     never_split=['[UNK]']  )

       self.assertListEqual(
           tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'  )      ,     ['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']  )
 def A_   (   self						:							Optional[Any]  )      ->   Optional[int]:







       '''simple docstring'''
       __snake_case :   int													=    BasicTokenizer()
       __snake_case :   List[str]													=    'a\n\'ll !!to?\'d of, can\'t.'
       __snake_case :   str													=    ['a', '\'', 'll', '!', '!', 'to', '?', '\'', 'd', 'of', ',', 'can', '\'', 't', '.']
       self.assertListEqual(tokenizer.tokenize(__a  )      ,     __a  )
 def A_   (   self						:							List[Any]  )      ->   Tuple:







       '''simple docstring'''
       __snake_case :   str													=    ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

       __snake_case :   Dict													=    {}
       for i, token in enumerate(__a  ):
             __snake_case :   str													=    i
       __snake_case :   List[str]													=    WordpieceTokenizer(vocab=__a      ,     unk_token='[UNK]'  )

       self.assertListEqual(tokenizer.tokenize(''  )      ,     []  )

       self.assertListEqual(tokenizer.tokenize('unwanted running'  )      ,     ['un', '##want', '##ed', 'runn', '##ing']  )

       self.assertListEqual(tokenizer.tokenize('unwantedX running'  )      ,     ['[UNK]', 'runn', '##ing']  )
 def A_   (   self						:							Dict  )      ->   List[str]:







       '''simple docstring'''
       self.assertTrue(_is_whitespace(' '  )  )
       self.assertTrue(_is_whitespace('\t'  )  )
       self.assertTrue(_is_whitespace('\r'  )  )
       self.assertTrue(_is_whitespace('\n'  )  )
       self.assertTrue(_is_whitespace('\u00A0'  )  )

       self.assertFalse(_is_whitespace('A'  )  )
       self.assertFalse(_is_whitespace('-'  )  )
 def A_   (   self						:							List[str]  )      ->   List[Any]:







       '''simple docstring'''
       self.assertTrue(_is_control('\u0005'  )  )

       self.assertFalse(_is_control('A'  )  )
       self.assertFalse(_is_control(' '  )  )
       self.assertFalse(_is_control('\t'  )  )
       self.assertFalse(_is_control('\r'  )  )
 def A_   (   self						:							Any  )      ->   Union[str, Any]:







       '''simple docstring'''
       self.assertTrue(_is_punctuation('-'  )  )
       self.assertTrue(_is_punctuation('$'  )  )
       self.assertTrue(_is_punctuation('`'  )  )
       self.assertTrue(_is_punctuation('.'  )  )

       self.assertFalse(_is_punctuation('A'  )  )
       self.assertFalse(_is_punctuation(' '  )  )
 def A_   (   self						:							List[Any]  )      ->   Tuple:







       '''simple docstring'''
       __snake_case :   str													=    self.get_tokenizer()
       __snake_case :   int													=    self.get_rust_tokenizer()

       # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
       self.assertListEqual([tokenizer.tokenize(__a  ) for t in ['Test', '\xad', 'test']]      ,     [['[UNK]'], [], ['[UNK]']]  )

       self.assertListEqual(
           [rust_tokenizer.tokenize(__a  ) for t in ['Test', '\xad', 'test']]      ,     [['[UNK]'], [], ['[UNK]']]  )
 @slow
 def A_   (   self						:							List[str]  )      ->   List[Any]:







       '''simple docstring'''
       __snake_case :   Dict													=    self.tokenizer_class.from_pretrained('bert-base-uncased'  )

       __snake_case :   Dict													=    tokenizer.encode('sequence builders'      ,     add_special_tokens=__a  )
       __snake_case :   int													=    tokenizer.encode('multi-sequence build'      ,     add_special_tokens=__a  )

       __snake_case :   int													=    tokenizer.build_inputs_with_special_tokens(__a  )
       __snake_case :   Union[str, Any]													=    tokenizer.build_inputs_with_special_tokens(__a      ,     __a  )

       assert encoded_sentence == [101] + text + [102]
       assert encoded_pair == [101] + text + [102] + text_a + [102]
 def A_   (   self						:							Optional[int]  )      ->   str:







       '''simple docstring'''
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
                   __snake_case :   Optional[int]													=    self.rust_tokenizer_class.from_pretrained(__a      ,     **__a  )

                   __snake_case :   Optional[Any]													=    f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
                   __snake_case :   Tuple													=    tokenizer_r.encode_plus(
                       __a      ,     return_attention_mask=__a      ,     return_token_type_ids=__a      ,     return_offsets_mapping=__a      ,     add_special_tokens=__a      ,     )

                   __snake_case :   Optional[Any]													=    tokenizer_r.do_lower_case if hasattr(__a      ,     'do_lower_case'  ) else False
                   __snake_case :   Any													=    (
                       [
                           ((0, 0), tokenizer_r.cls_token),
                           ((0, 1), 'A'),
                           ((1, 2), ','),
                           ((3, 5), 'na'),
                           ((5, 6), '##ï'),
                           ((6, 8), '##ve'),
                           ((9, 15), tokenizer_r.mask_token),
                           ((16, 21), 'Allen'),
                           ((21, 23), '##NL'),
                           ((23, 24), '##P'),
                           ((25, 33), 'sentence'),
                           ((33, 34), '.'),
                           ((0, 0), tokenizer_r.sep_token),
                       ]
                       if not do_lower_case
                       else [
                           ((0, 0), tokenizer_r.cls_token),
                           ((0, 1), 'a'),
                           ((1, 2), ','),
                           ((3, 8), 'naive'),
                           ((9, 15), tokenizer_r.mask_token),
                           ((16, 21), 'allen'),
                           ((21, 23), '##nl'),
                           ((23, 24), '##p'),
                           ((25, 33), 'sentence'),
                           ((33, 34), '.'),
                           ((0, 0), tokenizer_r.sep_token),
                       ]
                   )

                   self.assertEqual(
                       [e[1] for e in expected_results]      ,     tokenizer_r.convert_ids_to_tokens(tokens['input_ids']  )  )
                   self.assertEqual([e[0] for e in expected_results]      ,     tokens['offset_mapping']  )





 def A_   (   self						:							Any  )      ->   List[Any]:







       '''simple docstring'''
       __snake_case :   Any													=    ['的', '人', '有']
       __snake_case :   List[Any]													=    ''.join(__a  )
       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
                   __snake_case :   List[Any]													=    True
                   __snake_case :   int													=    self.tokenizer_class.from_pretrained(__a      ,     **__a  )
                   __snake_case :   Tuple													=    self.rust_tokenizer_class.from_pretrained(__a      ,     **__a  )

                   __snake_case :   Union[str, Any]													=    tokenizer_p.encode(__a      ,     add_special_tokens=__a  )
                   __snake_case :   Optional[Any]													=    tokenizer_r.encode(__a      ,     add_special_tokens=__a  )

                   __snake_case :   Dict													=    tokenizer_r.convert_ids_to_tokens(__a  )
                   __snake_case :   str													=    tokenizer_p.convert_ids_to_tokens(__a  )

                   # it is expected that each Chinese character is not preceded by "##"
                   self.assertListEqual(__a      ,     __a  )
                   self.assertListEqual(__a      ,     __a  )

                   __snake_case :   Any													=    False
                   __snake_case :   Tuple													=    self.rust_tokenizer_class.from_pretrained(__a      ,     **__a  )
                   __snake_case :   int													=    self.tokenizer_class.from_pretrained(__a      ,     **__a  )

                   __snake_case :   int													=    tokenizer_r.encode(__a      ,     add_special_tokens=__a  )
                   __snake_case :   str													=    tokenizer_p.encode(__a      ,     add_special_tokens=__a  )

                   __snake_case :   Optional[Any]													=    tokenizer_r.convert_ids_to_tokens(__a  )
                   __snake_case :   Optional[Any]													=    tokenizer_p.convert_ids_to_tokens(__a  )

                   # it is expected that only the first Chinese character is not preceded by "##".
                   __snake_case :   Dict													=    [
                       f'''##{token}''' if idx != 0 else token for idx, token in enumerate(__a  )
                   ]
                   self.assertListEqual(__a      ,     __a  )
                   self.assertListEqual(__a      ,     __a  )



