





'''simple docstring'''



import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _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 							__lowercase    ( lowerCAmelCase__	, unittest.TestCase  ):







 '''simple docstring'''

 a      :			Union[str, Any]     =    RoCBertTokenizer
 a      :			int     =    None
 a      :			Tuple     =    False
 a      :			Optional[int]     =    True
 a      :			Dict     =    filter_non_english


 def   _UpperCAmelCase       (self	)							->							str:







    '''simple docstring'''





    super().setUp()

    __lowercase			  =							['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
    __lowercase			  =							{}
    __lowercase			  =							{}
    for i, value in enumerate(_lowerCamelCase	):
       __lowercase			  =							i
       __lowercase			  =							i
    __lowercase			  =							os.path.join(self.tmpdirname       ,VOCAB_FILES_NAMES['''vocab_file''']	)
    __lowercase			  =							os.path.join(self.tmpdirname       ,VOCAB_FILES_NAMES['''word_shape_file''']	)
    __lowercase			  =							os.path.join(self.tmpdirname       ,VOCAB_FILES_NAMES['''word_pronunciation_file''']	)
    with open(self.vocab_file       ,'''w'''       ,encoding='''utf-8'''	) as vocab_writer:
       vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]	)	)
    with open(self.word_shape_file       ,'''w'''       ,encoding='''utf-8'''	) as word_shape_writer:
       json.dump(_lowerCamelCase       ,_lowerCamelCase       ,ensure_ascii=_lowerCamelCase	)
    with open(self.word_pronunciation_file       ,'''w'''       ,encoding='''utf-8'''	) as word_pronunciation_writer:
       json.dump(_lowerCamelCase       ,_lowerCamelCase       ,ensure_ascii=_lowerCamelCase	)


 def   _UpperCAmelCase       (self	)							->							Union[str, Any]:







    '''simple docstring'''





    __lowercase			  =							self.tokenizer_class(self.vocab_file       ,self.word_shape_file       ,self.word_pronunciation_file	)

    __lowercase			  =							tokenizer.tokenize('''你好[SEP]你是谁'''	)
    self.assertListEqual(_lowerCamelCase       ,['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁''']	)
    self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase	)       ,[5, 6, 2, 5, 7, 8]	)
    self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(_lowerCamelCase	)       ,[5, 6, 2, 5, 7, 8]	)
    self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(_lowerCamelCase	)       ,[5, 6, 2, 5, 7, 8]	)


 def   _UpperCAmelCase       (self	)							->							Dict:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer()

    self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''	)       ,['''ah''', '''\u535A''', '''\u63A8''', '''zz''']	)


 def   _UpperCAmelCase       (self	)							->							Tuple:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase	)

    self.assertListEqual(
        tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''	)       ,['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']	)
    self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''	)       ,['''hello''']	)


 def   _UpperCAmelCase       (self	)							->							Any:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase       ,strip_accents=_lowerCamelCase	)

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)       ,['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']	)
    self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''	)       ,['''h\u00E9llo''']	)


 def   _UpperCAmelCase       (self	)							->							Optional[int]:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase       ,strip_accents=_lowerCamelCase	)

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


 def   _UpperCAmelCase       (self	)							->							Tuple:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase	)

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


 def   _UpperCAmelCase       (self	)							->							Dict:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase	)

    self.assertListEqual(
        tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''	)       ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)


 def   _UpperCAmelCase       (self	)							->							Union[str, Any]:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase       ,strip_accents=_lowerCamelCase	)

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)       ,['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)


 def   _UpperCAmelCase       (self	)							->							str:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase       ,strip_accents=_lowerCamelCase	)

    self.assertListEqual(
        tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''	)       ,['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)


 def   _UpperCAmelCase       (self	)							->							int:







    '''simple docstring'''





    __lowercase			  =							RoCBertBasicTokenizer(do_lower_case=_lowerCamelCase       ,never_split=['''[UNK]''']	)

    self.assertListEqual(
        tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''	)       ,['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']	)


 def   _UpperCAmelCase       (self	)							->							Any:







    '''simple docstring'''





    __lowercase			  =							['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

    __lowercase			  =							{}
    for i, token in enumerate(_lowerCamelCase	):
       __lowercase			  =							i
    __lowercase			  =							RoCBertWordpieceTokenizer(vocab=_lowerCamelCase       ,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   _UpperCAmelCase       (self	)							->							Tuple:







    '''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   _UpperCAmelCase       (self	)							->							Tuple:







    '''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   _UpperCAmelCase       (self	)							->							Tuple:







    '''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   _UpperCAmelCase       (self	)							->							Optional[int]:







    '''simple docstring'''





    __lowercase			  =							self.get_tokenizer()

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

    if self.test_rust_tokenizer:
       __lowercase			  =							self.get_rust_tokenizer()
       self.assertListEqual(
           [rust_tokenizer.tokenize(_lowerCamelCase	) for t in ['''Test''', '''\xad''', '''test''']]       ,[['''[UNK]'''], [], ['''[UNK]''']]	)


 def   _UpperCAmelCase       (self	)							->							str:







    '''simple docstring'''





    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"	):
          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)

          __lowercase			  =							f"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
          __lowercase			  =							tokenizer_r.encode_plus(
              _lowerCamelCase       ,return_attention_mask=_lowerCamelCase       ,return_token_type_ids=_lowerCamelCase       ,return_offsets_mapping=_lowerCamelCase       ,add_special_tokens=_lowerCamelCase       ,)

          __lowercase			  =							tokenizer_r.do_lower_case if hasattr(_lowerCamelCase       ,'''do_lower_case'''	) else False
          __lowercase			  =							(
              [
                  ((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   _UpperCAmelCase       (self	)							->							List[str]:







    '''simple docstring'''





    __lowercase			  =							['''的''', '''人''', '''有''']
    __lowercase			  =							''''''.join(_lowerCamelCase	)
    for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
       with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"	):
          __lowercase			  =							True
          __lowercase			  =							self.tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)
          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)

          __lowercase			  =							tokenizer_p.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          __lowercase			  =							tokenizer_r.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)

          __lowercase			  =							tokenizer_r.convert_ids_to_tokens(_lowerCamelCase	)
          __lowercase			  =							tokenizer_p.convert_ids_to_tokens(_lowerCamelCase	)

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

          __lowercase			  =							False
          __lowercase			  =							self.rust_tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)
          __lowercase			  =							self.tokenizer_class.from_pretrained(_lowerCamelCase       ,**_lowerCamelCase	)

          __lowercase			  =							tokenizer_r.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)
          __lowercase			  =							tokenizer_p.encode(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)

          __lowercase			  =							tokenizer_r.convert_ids_to_tokens(_lowerCamelCase	)
          __lowercase			  =							tokenizer_p.convert_ids_to_tokens(_lowerCamelCase	)

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


 @slow
 def   _UpperCAmelCase       (self	)							->							str:







    '''simple docstring'''





    __lowercase			  =							self.tokenizer_class(self.vocab_file       ,self.word_shape_file       ,self.word_pronunciation_file	)

    __lowercase			  =							tokenizer.encode('''你好'''       ,add_special_tokens=_lowerCamelCase	)
    __lowercase			  =							tokenizer.encode('''你是谁'''       ,add_special_tokens=_lowerCamelCase	)

    __lowercase			  =							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase	)
    __lowercase			  =							tokenizer.build_inputs_with_special_tokens(_lowerCamelCase       ,_lowerCamelCase	)

    assert encoded_sentence == [1] + text + [2]
    assert encoded_pair == [1] + text + [2] + text_a + [2]


 def   _UpperCAmelCase       (self	)							->							Optional[int]:







    '''simple docstring'''





    __lowercase			  =							self.get_tokenizers(do_lower_case=_lowerCamelCase	)
    for tokenizer in tokenizers:
       with self.subTest(f"{tokenizer.__class__.__name__}"	):
          __lowercase			  =							'''你好，你是谁'''
          __lowercase			  =							tokenizer.tokenize(_lowerCamelCase	)
          __lowercase			  =							tokenizer.convert_tokens_to_ids(_lowerCamelCase	)
          __lowercase			  =							tokenizer.convert_tokens_to_shape_ids(_lowerCamelCase	)
          __lowercase			  =							tokenizer.convert_tokens_to_pronunciation_ids(_lowerCamelCase	)
          __lowercase			  =							tokenizer.prepare_for_model(
              _lowerCamelCase       ,_lowerCamelCase       ,_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)

          __lowercase			  =							tokenizer.encode_plus(_lowerCamelCase       ,add_special_tokens=_lowerCamelCase	)

          self.assertEqual(_lowerCamelCase       ,_lowerCamelCase	)












'''simple docstring'''



import copy

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


_SCREAMING_SNAKE_CASE   =      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE   =      {
    '''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 							__lowercase    ( lowerCAmelCase__  ):







	'''simple docstring'''

	a      :			Union[str, Any]     =    "dpt"


	def __init__(self       ,_lowerCamelCase=768       ,_lowerCamelCase=12       ,_lowerCamelCase=12       ,_lowerCamelCase=3072       ,_lowerCamelCase="gelu"       ,_lowerCamelCase=0.0       ,_lowerCamelCase=0.0       ,_lowerCamelCase=0.0_2       ,_lowerCamelCase=1E-1_2       ,_lowerCamelCase=384       ,_lowerCamelCase=16       ,_lowerCamelCase=3       ,_lowerCamelCase=False       ,_lowerCamelCase=True       ,_lowerCamelCase=[2, 5, 8, 11]       ,_lowerCamelCase="project"       ,_lowerCamelCase=[4, 2, 1, 0.5]       ,_lowerCamelCase=[96, 192, 384, 768]       ,_lowerCamelCase=256       ,_lowerCamelCase=-1       ,_lowerCamelCase=False       ,_lowerCamelCase=True       ,_lowerCamelCase=0.4       ,_lowerCamelCase=255       ,_lowerCamelCase=0.1       ,_lowerCamelCase=[1, 1024, 24, 24]       ,_lowerCamelCase=[0, 1]       ,_lowerCamelCase=None       ,**_lowerCamelCase       ,)							->							Tuple:







				'''simple docstring'''





				super().__init__(**_lowerCamelCase	)

				__lowercase			  =							hidden_size
				__lowercase			  =							is_hybrid

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

							__lowercase			  =							backbone_featmap_shape
							__lowercase			  =							neck_ignore_stages

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

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


	def   _UpperCAmelCase       (self	)							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase			  =							copy.deepcopy(self.__dict__	)

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

				__lowercase			  =							self.__class__.model_type
				return output





