'''simple docstring'''





import copy

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


SCREAMING_SNAKE_CASE_:					Optional[Any]  =logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_:					Union[str, 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 	__A				(			UpperCamelCase__     ):
    a__	:						Union[str, Any]	       =  """dpt"""



    def __init__(self   :   Dict       ,      __a   :   Any=768       ,      __a   :   List[Any]=12       ,      __a   :   Any=12       ,      __a   :   Tuple=3072       ,      __a   :   List[str]="gelu"       ,      __a   :   Any=0.0       ,      __a   :   Any=0.0       ,      __a   :   int=0.02       ,      __a   :   Optional[Any]=1E-12       ,      __a   :   Union[str, Any]=384       ,      __a   :   Optional[Any]=16       ,      __a   :   List[str]=3       ,      __a   :   Optional[int]=False       ,      __a   :   Tuple=True       ,      __a   :   int=[2, 5, 8, 11]       ,      __a   :   str="project"       ,      __a   :   List[str]=[4, 2, 1, 0.5]       ,      __a   :   List[Any]=[96, 192, 384, 768]       ,      __a   :   List[str]=256       ,      __a   :   Union[str, Any]=-1       ,      __a   :   Dict=False       ,      __a   :   str=True       ,      __a   :   Tuple=0.4       ,      __a   :   List[Any]=255       ,      __a   :   List[str]=0.1       ,      __a   :   int=[1, 1024, 24, 24]       ,      __a   :   Any=[0, 1]       ,      __a   :   str=None       ,      **__a   :   Dict       ,      ):
         super().__init__(**__a			)

         UpperCAmelCase_	   =       hidden_size
         UpperCAmelCase_	   =       is_hybrid

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

              UpperCAmelCase_	   =       backbone_featmap_shape
              UpperCAmelCase_	   =       neck_ignore_stages

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

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






    def  _lowercase						(self   :   Dict			):
         UpperCAmelCase_	   =       copy.deepcopy(self.__dict__			)

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

         UpperCAmelCase_	   =       self.__class__.model_type
         return output





'''simple docstring'''





import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    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 	__A				(			UpperCamelCase__		,     unittest.TestCase     ):
    a__	:						List[Any]	       =  MobileBertTokenizer
    a__	:						str	       =  MobileBertTokenizerFast
    a__	:						List[str]	       =  True
    a__	:						Dict	       =  True
    a__	:						Optional[int]	       =  filter_non_english
    a__	:						int	       =  """google/mobilebert-uncased"""



    def  _lowercase						(self   :   List[str]			):
         super().setUp()

         UpperCAmelCase_	   =       [
             "[UNK]",
             "[CLS]",
             "[SEP]",
             "[PAD]",
             "[MASK]",
             "want",
             "##want",
             "##ed",
             "wa",
             "un",
             "runn",
             "##ing",
             ",",
             "low",
             "lowest",
         ]
         UpperCAmelCase_	   =       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]			)			)

         UpperCAmelCase_	   =       [
             (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
             for tokenizer_def in self.tokenizers_list
         ]



    def  _lowercase						(self   :   Tuple       ,      __a   :   str			):
         UpperCAmelCase_	   =       "UNwant\u00E9d,running"
         UpperCAmelCase_	   =       "unwanted, running"
         return input_text, output_text



    def  _lowercase						(self   :   List[Any]			):
         UpperCAmelCase_	   =       self.tokenizer_class(self.vocab_file			)

         UpperCAmelCase_	   =       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  _lowercase						(self   :   Dict			):
         if not self.test_rust_tokenizer:
              return

         UpperCAmelCase_	   =       self.get_tokenizer()
         UpperCAmelCase_	   =       self.get_rust_tokenizer()

         UpperCAmelCase_	   =       "UNwant\u00E9d,running"

         UpperCAmelCase_	   =       tokenizer.tokenize(__a			)
         UpperCAmelCase_	   =       rust_tokenizer.tokenize(__a			)
         self.assertListEqual(__a       ,      __a			)

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

         UpperCAmelCase_	   =       self.get_rust_tokenizer()
         UpperCAmelCase_	   =       tokenizer.encode(__a			)
         UpperCAmelCase_	   =       rust_tokenizer.encode(__a			)
         self.assertListEqual(__a       ,      __a			)

         # With lower casing
         UpperCAmelCase_	   =       self.get_tokenizer(do_lower_case=__a			)
         UpperCAmelCase_	   =       self.get_rust_tokenizer(do_lower_case=__a			)

         UpperCAmelCase_	   =       "UNwant\u00E9d,running"

         UpperCAmelCase_	   =       tokenizer.tokenize(__a			)
         UpperCAmelCase_	   =       rust_tokenizer.tokenize(__a			)
         self.assertListEqual(__a       ,      __a			)

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

         UpperCAmelCase_	   =       self.get_rust_tokenizer()
         UpperCAmelCase_	   =       tokenizer.encode(__a			)
         UpperCAmelCase_	   =       rust_tokenizer.encode(__a			)
         self.assertListEqual(__a       ,      __a			)



    def  _lowercase						(self   :   Dict			):
         UpperCAmelCase_	   =       BasicTokenizer()

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



    def  _lowercase						(self   :   Optional[int]			):
         UpperCAmelCase_	   =       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  _lowercase						(self   :   Any			):
         UpperCAmelCase_	   =       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  _lowercase						(self   :   Optional[int]			):
         UpperCAmelCase_	   =       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  _lowercase						(self   :   Optional[int]			):
         UpperCAmelCase_	   =       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  _lowercase						(self   :   Optional[Any]			):
         UpperCAmelCase_	   =       BasicTokenizer(do_lower_case=__a			)

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



    def  _lowercase						(self   :   Optional[int]			):
         UpperCAmelCase_	   =       BasicTokenizer(do_lower_case=__a       ,      strip_accents=__a			)

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



    def  _lowercase						(self   :   Tuple			):
         UpperCAmelCase_	   =       BasicTokenizer(do_lower_case=__a       ,      strip_accents=__a			)

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



    def  _lowercase						(self   :   Tuple			):
         UpperCAmelCase_	   =       BasicTokenizer(do_lower_case=__a       ,      never_split=["[UNK]"]			)

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



    def  _lowercase						(self   :   Any			):
         UpperCAmelCase_	   =       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

         UpperCAmelCase_	   =       {}
         for i, token in enumerate(__a			):
              UpperCAmelCase_	   =       i
         UpperCAmelCase_	   =       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  _lowercase						(self   :   Optional[int]			):
         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  _lowercase						(self   :   str			):
         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  _lowercase						(self   :   Any			):
         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  _lowercase						(self   :   Any			):
         UpperCAmelCase_	   =       self.get_tokenizer()
         UpperCAmelCase_	   =       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  _lowercase						(self   :   Dict			):
         UpperCAmelCase_	   =       self.tokenizer_class.from_pretrained("google/mobilebert-uncased"			)

         UpperCAmelCase_	   =       tokenizer.encode("sequence builders"       ,      add_special_tokens=__a			)
         UpperCAmelCase_	   =       tokenizer.encode("multi-sequence build"       ,      add_special_tokens=__a			)

         UpperCAmelCase_	   =       tokenizer.build_inputs_with_special_tokens(__a			)
         UpperCAmelCase_	   =       tokenizer.build_inputs_with_special_tokens(__a       ,      __a			)

         assert encoded_sentence == [101] + text + [102]
         assert encoded_pair == [101] + text + [102] + text_a + [102]



    def  _lowercase						(self   :   Dict			):
         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(__a       ,      **__a			)

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

                   UpperCAmelCase_	   =       tokenizer_r.do_lower_case if hasattr(__a       ,      "do_lower_case"			) else False
                   UpperCAmelCase_	   =       (
                       [
                           ((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  _lowercase						(self   :   Optional[int]			):
         UpperCAmelCase_	   =       ["的", "人", "有"]
         UpperCAmelCase_	   =       "".join(__a			)
         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""			):
                   UpperCAmelCase_	   =       True
                   UpperCAmelCase_	   =       self.tokenizer_class.from_pretrained(__a       ,      **__a			)
                   UpperCAmelCase_	   =       self.rust_tokenizer_class.from_pretrained(__a       ,      **__a			)

                   UpperCAmelCase_	   =       tokenizer_p.encode(__a       ,      add_special_tokens=__a			)
                   UpperCAmelCase_	   =       tokenizer_r.encode(__a       ,      add_special_tokens=__a			)

                   UpperCAmelCase_	   =       tokenizer_r.convert_ids_to_tokens(__a			)
                   UpperCAmelCase_	   =       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			)

                   UpperCAmelCase_	   =       False
                   UpperCAmelCase_	   =       self.rust_tokenizer_class.from_pretrained(__a       ,      **__a			)
                   UpperCAmelCase_	   =       self.tokenizer_class.from_pretrained(__a       ,      **__a			)

                   UpperCAmelCase_	   =       tokenizer_r.encode(__a       ,      add_special_tokens=__a			)
                   UpperCAmelCase_	   =       tokenizer_p.encode(__a       ,      add_special_tokens=__a			)

                   UpperCAmelCase_	   =       tokenizer_r.convert_ids_to_tokens(__a			)
                   UpperCAmelCase_	   =       tokenizer_p.convert_ids_to_tokens(__a			)

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




