


'''simple docstring'''

import os
import unittest

from transformers import ElectraTokenizerFast
from transformers.models.electra.tokenization_electra import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    ElectraTokenizer,
    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 			UpperCAmelCase			(							SCREAMING_SNAKE_CASE__		,      unittest.TestCase):
 _lowerCamelCase			:       Union[str, Any]            =       ElectraTokenizer
 _lowerCamelCase			:       Dict            =       ElectraTokenizerFast
 _lowerCamelCase			:       Optional[Any]            =       True
 _lowerCamelCase			:       str            =       True
 _lowerCamelCase			:       Union[str, Any]            =       filter_non_english

 def 		lowercase_    (			self			:						Tuple       ):





    """simple docstring"""



    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]       )       )

 def 		lowercase_    (			self			:						str,       a_			:						Dict       ):





    """simple docstring"""



    UpperCamelCase__			    =    "UNwant\u00E9d,running"
    UpperCamelCase__			    =    "unwanted, running"
    return input_text, output_text

 def 		lowercase_    (			self			:						int       ):





    """simple docstring"""



    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			:						Any       ):





    """simple docstring"""



    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			:						Any       ):





    """simple docstring"""



    UpperCamelCase__			    =    BasicTokenizer()

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

 def 		lowercase_    (			self			:						Dict       ):





    """simple docstring"""



    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       ):





    """simple docstring"""



    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			:						Union[str, Any]       ):





    """simple docstring"""



    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			:						int       ):





    """simple docstring"""



    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			:						List[str]       ):





    """simple docstring"""



    UpperCamelCase__			    =    BasicTokenizer(do_lower_case=a_       )

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

 def 		lowercase_    (			self			:						Optional[Any]       ):





    """simple docstring"""



    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			:						Dict       ):





    """simple docstring"""



    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			:						Optional[int]       ):





    """simple docstring"""



    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       ):





    """simple docstring"""



    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[Any]       ):





    """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 		lowercase_    (			self			:						str       ):





    """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 		lowercase_    (			self			:						Dict       ):





    """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 		lowercase_    (			self			:						List[Any]       ):





    """simple docstring"""



    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       ):





    """simple docstring"""



    UpperCamelCase__			    =    self.tokenizer_class.from_pretrained("google/electra-base-discriminator"       )

    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			:						List[str]       ):





    """simple docstring"""



    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			:						List[str]       ):





    """simple docstring"""



    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_       )

"""simple docstring"""

import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


UpperCamelCase      :							List[str]          =					logging.get_logger(__name__)

UpperCamelCase      :							Dict          =					{
    "shi-labs/oneformer_ade20k_swin_tiny": (
        "https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json"
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}

class __lowerCAmelCase						( __SCREAMING_SNAKE_CASE     ):
     lowercase		  =		"oneformer"
     lowercase		  =		{"hidden_size": "hidden_dim"}





     def __init__(      self      ,	__UpperCAmelCase = None      ,	__UpperCAmelCase = 255      ,	__UpperCAmelCase = 150      ,	__UpperCAmelCase = 0.1      ,	__UpperCAmelCase = 2.0      ,	__UpperCAmelCase = 5.0      ,	__UpperCAmelCase = 5.0      ,	__UpperCAmelCase = 0.5      ,	__UpperCAmelCase = 0.0_7      ,	__UpperCAmelCase = 1_2544      ,	__UpperCAmelCase = 3.0      ,	__UpperCAmelCase = 0.7_5      ,	__UpperCAmelCase = 0.0_2      ,	__UpperCAmelCase = 1.0      ,	__UpperCAmelCase = 1E-05      ,	__UpperCAmelCase = False      ,	__UpperCAmelCase = True      ,	__UpperCAmelCase = True      ,	__UpperCAmelCase = [4, 8, 16, 32]      ,	__UpperCAmelCase = 77      ,	__UpperCAmelCase = 256      ,	__UpperCAmelCase = 77      ,	__UpperCAmelCase = 6      ,	__UpperCAmelCase = 4_9408      ,	__UpperCAmelCase = 2      ,	__UpperCAmelCase = 16      ,	__UpperCAmelCase = 256      ,	__UpperCAmelCase = 256      ,	__UpperCAmelCase = 256      ,	__UpperCAmelCase = 1024      ,	__UpperCAmelCase = "GN"      ,	__UpperCAmelCase = 6      ,	__UpperCAmelCase = 10      ,	__UpperCAmelCase = True      ,	__UpperCAmelCase = 8      ,	__UpperCAmelCase = 0.1      ,	__UpperCAmelCase = 2048      ,	__UpperCAmelCase = False      ,	__UpperCAmelCase = False      ,	__UpperCAmelCase = 2      ,	__UpperCAmelCase = 4      ,	**__UpperCAmelCase      ,	):

      '''simple docstring'''




      if backbone_config is None:
       logger.info('`backbone_config` is unset. Initializing the config with the default `Swin` backbone.' )
       __UpperCamelCase							    =			CONFIG_MAPPING['swin'](
           image_size=224      ,	in_channels=3      ,	patch_size=4      ,	embed_dim=96      ,	depths=[2, 2, 6, 2]      ,	num_heads=[3, 6, 12, 24]      ,	window_size=7      ,	drop_path_rate=0.3      ,	use_absolute_embeddings=__UpperCAmelCase      ,	out_features=['stage1', 'stage2', 'stage3', 'stage4']      ,	)
      elif isinstance(__UpperCAmelCase      ,	__UpperCAmelCase ):
       __UpperCamelCase							    =			backbone_config.get('model_type' )
       __UpperCamelCase							    =			CONFIG_MAPPING[backbone_model_type]
       __UpperCamelCase							    =			config_class.from_dict(__UpperCAmelCase )

      __UpperCamelCase							    =			backbone_config

      __UpperCamelCase							    =			ignore_value
      __UpperCamelCase							    =			num_queries
      __UpperCamelCase							    =			no_object_weight
      __UpperCamelCase							    =			class_weight
      __UpperCamelCase							    =			mask_weight
      __UpperCamelCase							    =			dice_weight
      __UpperCamelCase							    =			contrastive_weight
      __UpperCamelCase							    =			contrastive_temperature
      __UpperCamelCase							    =			train_num_points
      __UpperCamelCase							    =			oversample_ratio
      __UpperCamelCase							    =			importance_sample_ratio
      __UpperCamelCase							    =			init_std
      __UpperCamelCase							    =			init_xavier_std
      __UpperCamelCase							    =			layer_norm_eps
      __UpperCamelCase							    =			is_training
      __UpperCamelCase							    =			use_auxiliary_loss
      __UpperCamelCase							    =			output_auxiliary_logits
      __UpperCamelCase							    =			strides
      __UpperCamelCase							    =			task_seq_len
      __UpperCamelCase							    =			text_encoder_width
      __UpperCamelCase							    =			text_encoder_context_length
      __UpperCamelCase							    =			text_encoder_num_layers
      __UpperCamelCase							    =			text_encoder_vocab_size
      __UpperCamelCase							    =			text_encoder_proj_layers
      __UpperCamelCase							    =			text_encoder_n_ctx
      __UpperCamelCase							    =			conv_dim
      __UpperCamelCase							    =			mask_dim
      __UpperCamelCase							    =			hidden_dim
      __UpperCamelCase							    =			encoder_feedforward_dim
      __UpperCamelCase							    =			norm
      __UpperCamelCase							    =			encoder_layers
      __UpperCamelCase							    =			decoder_layers
      __UpperCamelCase							    =			use_task_norm
      __UpperCamelCase							    =			num_attention_heads
      __UpperCamelCase							    =			dropout
      __UpperCamelCase							    =			dim_feedforward
      __UpperCamelCase							    =			pre_norm
      __UpperCamelCase							    =			enforce_input_proj
      __UpperCamelCase							    =			query_dec_layers
      __UpperCamelCase							    =			common_stride
      __UpperCamelCase							    =			decoder_layers

      super().__init__(**__UpperCAmelCase )







     def 		UpperCAmelCase   (      self ):

      '''simple docstring'''




      __UpperCamelCase							    =			copy.deepcopy(self.__dict__ )
      __UpperCamelCase							    =			self.backbone_config.to_dict()
      __UpperCamelCase							    =			self.__class__.model_type
      return output



