






'''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 _lowercase     (    _lowerCAmelCase    ,				unittest.TestCase		):
							a    				=	BertTokenizer
							a    				=	BertTokenizerFast
							a    				=	True
							a    				=	True
							a    				=	filter_non_english




							def 		lowerCamelCase_    (							self:    Any					):
														super().setUp()

														lowerCamelCase__ :     Dict	  =	[
														    """[UNK]""",
														    """[CLS]""",
														    """[SEP]""",
														    """[PAD]""",
														    """[MASK]""",
														    """want""",
														    """##want""",
														    """##ed""",
														    """wa""",
														    """un""",
														    """runn""",
														    """##ing""",
														    """,""",
														    """low""",
														    """lowest""",
														]
														lowerCamelCase__ :     Optional[Any]	  =	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 		lowerCamelCase_    (							self:    Dict      ,							UpperCamelCase__:    Tuple					):
														lowerCamelCase__ :     Optional[Any]	  =	"""UNwant\u00E9d,running"""
														lowerCamelCase__ :     Union[str, Any]	  =	"""unwanted, running"""
														return input_text, output_text




							def 		lowerCamelCase_    (							self:    str					):
														lowerCamelCase__ :     Optional[int]	  =	self.tokenizer_class(self.vocab_file					)

														lowerCamelCase__ :     List[Any]	  =	tokenizer.tokenize("""UNwant\u00E9d,running"""					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]					)
														self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_					)      ,							[9, 6, 7, 12, 10, 11]					)




							def 		lowerCamelCase_    (							self:    List[str]					):
														if not self.test_rust_tokenizer:
																					return

														lowerCamelCase__ :     Optional[int]	  =	self.get_tokenizer()
														lowerCamelCase__ :     List[str]	  =	self.get_rust_tokenizer()

														lowerCamelCase__ :     str	  =	"""UNwant\u00E9d,running"""

														lowerCamelCase__ :     int	  =	tokenizer.tokenize(SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     Optional[int]	  =	rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)

														lowerCamelCase__ :     Optional[Any]	  =	tokenizer.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     List[str]	  =	rust_tokenizer.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)

														lowerCamelCase__ :     Any	  =	self.get_rust_tokenizer()
														lowerCamelCase__ :     Optional[int]	  =	tokenizer.encode(SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     List[Any]	  =	rust_tokenizer.encode(SCREAMING_SNAKE_CASE_					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)

														# With lower casing
														lowerCamelCase__ :     Optional[Any]	  =	self.get_tokenizer(do_lower_case=SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     Optional[int]	  =	self.get_rust_tokenizer(do_lower_case=SCREAMING_SNAKE_CASE_					)

														lowerCamelCase__ :     Optional[int]	  =	"""UNwant\u00E9d,running"""

														lowerCamelCase__ :     Dict	  =	tokenizer.tokenize(SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     int	  =	rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)

														lowerCamelCase__ :     Dict	  =	tokenizer.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     Tuple	  =	rust_tokenizer.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)

														lowerCamelCase__ :     Optional[Any]	  =	self.get_rust_tokenizer()
														lowerCamelCase__ :     Optional[int]	  =	tokenizer.encode(SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     Any	  =	rust_tokenizer.encode(SCREAMING_SNAKE_CASE_					)
														self.assertListEqual(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)




							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     Any	  =	BasicTokenizer()

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




							def 		lowerCamelCase_    (							self:    str					):
														lowerCamelCase__ :     Any	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    Union[str, Any]					):
														lowerCamelCase__ :     Dict	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_      ,							strip_accents=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     str	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_      ,							strip_accents=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    List[str]					):
														lowerCamelCase__ :     Tuple	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    List[Any]					):
														lowerCamelCase__ :     str	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     List[Any]	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_      ,							strip_accents=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    Optional[int]					):
														lowerCamelCase__ :     Any	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_      ,							strip_accents=SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    Optional[Any]					):
														lowerCamelCase__ :     Optional[Any]	  =	BasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_      ,							never_split=["""[UNK]"""]					)

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




							def 		lowerCamelCase_    (							self:    Optional[int]					):
														lowerCamelCase__ :     Optional[int]	  =	BasicTokenizer()
														lowerCamelCase__ :     Union[str, Any]	  =	"""a\n'll !!to?'d of, can't."""
														lowerCamelCase__ :     List[str]	  =	["""a""", """'""", """ll""", """!""", """!""", """to""", """?""", """'""", """d""", """of""", """,""", """can""", """'""", """t""", """."""]
														self.assertListEqual(tokenizer.tokenize(SCREAMING_SNAKE_CASE_					)      ,							SCREAMING_SNAKE_CASE_					)




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

														lowerCamelCase__ :     List[str]	  =	{}
														for i, token in enumerate(SCREAMING_SNAKE_CASE_					):
																					lowerCamelCase__ :     Tuple	  =	i
														lowerCamelCase__ :     Optional[int]	  =	WordpieceTokenizer(vocab=SCREAMING_SNAKE_CASE_      ,							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 		lowerCamelCase_    (							self:    Optional[Any]					):
														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 		lowerCamelCase_    (							self:    Tuple					):
														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 		lowerCamelCase_    (							self:    Optional[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 		lowerCamelCase_    (							self:    Tuple					):
														lowerCamelCase__ :     List[str]	  =	self.get_tokenizer()
														lowerCamelCase__ :     List[Any]	  =	self.get_rust_tokenizer()

														# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
														self.assertListEqual([tokenizer.tokenize(SCREAMING_SNAKE_CASE_					) for t in ["""Test""", """\xad""", """test"""]]      ,							[["""[UNK]"""], [], ["""[UNK]"""]]					)

														self.assertListEqual(
														    [rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_					) for t in ["""Test""", """\xad""", """test"""]]      ,							[["""[UNK]"""], [], ["""[UNK]"""]]					)




							@slow
							def 		lowerCamelCase_    (							self:    Any					):
														lowerCamelCase__ :     List[Any]	  =	self.tokenizer_class.from_pretrained("""bert-base-uncased"""					)

														lowerCamelCase__ :     List[str]	  =	tokenizer.encode("""sequence builders"""      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     Any	  =	tokenizer.encode("""multi-sequence build"""      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)

														lowerCamelCase__ :     Union[str, Any]	  =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_					)
														lowerCamelCase__ :     Dict	  =	tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_      ,							SCREAMING_SNAKE_CASE_					)

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




							def 		lowerCamelCase_    (							self:    int					):
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
																												lowerCamelCase__ :     List[str]	  =	self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_      ,							**SCREAMING_SNAKE_CASE_					)

																												lowerCamelCase__ :     Tuple	  =	F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																												lowerCamelCase__ :     Tuple	  =	tokenizer_r.encode_plus(
																												    SCREAMING_SNAKE_CASE_      ,							return_attention_mask=SCREAMING_SNAKE_CASE_      ,							return_token_type_ids=SCREAMING_SNAKE_CASE_      ,							return_offsets_mapping=SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_      ,							)

																												lowerCamelCase__ :     Union[str, Any]	  =	tokenizer_r.do_lower_case if hasattr(SCREAMING_SNAKE_CASE_      ,							"""do_lower_case"""					) else False
																												lowerCamelCase__ :     Union[str, 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 		lowerCamelCase_    (							self:    Dict					):
														lowerCamelCase__ :     Tuple	  =	["""的""", """人""", """有"""]
														lowerCamelCase__ :     Optional[int]	  =	"""""".join(SCREAMING_SNAKE_CASE_					)
														for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																					with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
																												lowerCamelCase__ :     Dict	  =	True
																												lowerCamelCase__ :     Tuple	  =	self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_      ,							**SCREAMING_SNAKE_CASE_					)
																												lowerCamelCase__ :     List[str]	  =	self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_      ,							**SCREAMING_SNAKE_CASE_					)

																												lowerCamelCase__ :     int	  =	tokenizer_p.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
																												lowerCamelCase__ :     int	  =	tokenizer_r.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)

																												lowerCamelCase__ :     str	  =	tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_					)
																												lowerCamelCase__ :     List[Any]	  =	tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_					)

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

																												lowerCamelCase__ :     str	  =	False
																												lowerCamelCase__ :     Dict	  =	self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_      ,							**SCREAMING_SNAKE_CASE_					)
																												lowerCamelCase__ :     Tuple	  =	self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_      ,							**SCREAMING_SNAKE_CASE_					)

																												lowerCamelCase__ :     str	  =	tokenizer_r.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)
																												lowerCamelCase__ :     Tuple	  =	tokenizer_p.encode(SCREAMING_SNAKE_CASE_      ,							add_special_tokens=SCREAMING_SNAKE_CASE_					)

																												lowerCamelCase__ :     Tuple	  =	tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_					)
																												lowerCamelCase__ :     str	  =	tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_					)

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











'''simple docstring'''







import copy

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


_A     :      Union[str, Any]   					=logging.get_logger(__name__)

_A     :      List[Any]   					={
    '''SenseTime/deformable-detr''': '''https://huggingface.co/sensetime/deformable-detr/resolve/main/config.json''',
    # See all Deformable DETR models at https://huggingface.co/models?filter=deformable-detr
}

class _lowercase     (    _lowercase		):
							a    				=	"""deformable_detr"""
							a    				=	{
							    """hidden_size""": """d_model""",
							    """num_attention_heads""": """encoder_attention_heads""",
							}




							def __init__(							self:    Optional[int]      ,							UpperCamelCase__:    Tuple=True      ,							UpperCamelCase__:    Tuple=None      ,							UpperCamelCase__:    List[str]=3      ,							UpperCamelCase__:    Any=300      ,							UpperCamelCase__:    Optional[int]=1_024      ,							UpperCamelCase__:    int=6      ,							UpperCamelCase__:    str=1_024      ,							UpperCamelCase__:    Optional[Any]=8      ,							UpperCamelCase__:    Optional[Any]=6      ,							UpperCamelCase__:    Union[str, Any]=1_024      ,							UpperCamelCase__:    Tuple=8      ,							UpperCamelCase__:    str=0.0      ,							UpperCamelCase__:    Tuple=True      ,							UpperCamelCase__:    Any="relu"      ,							UpperCamelCase__:    Any=256      ,							UpperCamelCase__:    List[Any]=0.1      ,							UpperCamelCase__:    Optional[int]=0.0      ,							UpperCamelCase__:    Any=0.0      ,							UpperCamelCase__:    List[str]=0.02      ,							UpperCamelCase__:    str=1.0      ,							UpperCamelCase__:    Any=True      ,							UpperCamelCase__:    List[Any]=False      ,							UpperCamelCase__:    str="sine"      ,							UpperCamelCase__:    Optional[Any]="resnet50"      ,							UpperCamelCase__:    Optional[int]=True      ,							UpperCamelCase__:    Optional[int]=False      ,							UpperCamelCase__:    List[Any]=4      ,							UpperCamelCase__:    Any=4      ,							UpperCamelCase__:    int=4      ,							UpperCamelCase__:    int=False      ,							UpperCamelCase__:    Optional[Any]=300      ,							UpperCamelCase__:    str=False      ,							UpperCamelCase__:    int=1      ,							UpperCamelCase__:    Tuple=5      ,							UpperCamelCase__:    List[Any]=2      ,							UpperCamelCase__:    Optional[int]=1      ,							UpperCamelCase__:    int=1      ,							UpperCamelCase__:    Tuple=5      ,							UpperCamelCase__:    str=2      ,							UpperCamelCase__:    str=0.1      ,							UpperCamelCase__:    List[str]=0.25      ,							UpperCamelCase__:    Any=False      ,							**UpperCamelCase__:    Optional[Any]      ,							):
														if backbone_config is not None and use_timm_backbone:
																					raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`."""					)

														if not use_timm_backbone:
																					if backbone_config is None:
																												logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""					)
																												lowerCamelCase__ :     Union[str, Any]	  =	CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]					)
																					elif isinstance(UpperCamelCase__      ,							UpperCamelCase__					):
																												lowerCamelCase__ :     Tuple	  =	backbone_config.get("""model_type"""					)
																												lowerCamelCase__ :     Dict	  =	CONFIG_MAPPING[backbone_model_type]
																												lowerCamelCase__ :     Optional[Any]	  =	config_class.from_dict(UpperCamelCase__					)
														lowerCamelCase__ :     Tuple	  =	use_timm_backbone
														lowerCamelCase__ :     Tuple	  =	backbone_config
														lowerCamelCase__ :     Union[str, Any]	  =	num_channels
														lowerCamelCase__ :     str	  =	num_queries
														lowerCamelCase__ :     int	  =	max_position_embeddings
														lowerCamelCase__ :     str	  =	d_model
														lowerCamelCase__ :     Dict	  =	encoder_ffn_dim
														lowerCamelCase__ :     Union[str, Any]	  =	encoder_layers
														lowerCamelCase__ :     int	  =	encoder_attention_heads
														lowerCamelCase__ :     str	  =	decoder_ffn_dim
														lowerCamelCase__ :     Optional[Any]	  =	decoder_layers
														lowerCamelCase__ :     Optional[int]	  =	decoder_attention_heads
														lowerCamelCase__ :     int	  =	dropout
														lowerCamelCase__ :     Optional[Any]	  =	attention_dropout
														lowerCamelCase__ :     List[Any]	  =	activation_dropout
														lowerCamelCase__ :     List[Any]	  =	activation_function
														lowerCamelCase__ :     int	  =	init_std
														lowerCamelCase__ :     Dict	  =	init_xavier_std
														lowerCamelCase__ :     Tuple	  =	encoder_layerdrop
														lowerCamelCase__ :     str	  =	auxiliary_loss
														lowerCamelCase__ :     int	  =	position_embedding_type
														lowerCamelCase__ :     Tuple	  =	backbone
														lowerCamelCase__ :     Tuple	  =	use_pretrained_backbone
														lowerCamelCase__ :     Optional[int]	  =	dilation
														# deformable attributes
														lowerCamelCase__ :     Optional[int]	  =	num_feature_levels
														lowerCamelCase__ :     Tuple	  =	encoder_n_points
														lowerCamelCase__ :     Tuple	  =	decoder_n_points
														lowerCamelCase__ :     Dict	  =	two_stage
														lowerCamelCase__ :     int	  =	two_stage_num_proposals
														lowerCamelCase__ :     Any	  =	with_box_refine
														if two_stage is True and with_box_refine is False:
																					raise ValueError("""If two_stage is True, with_box_refine must be True."""					)
														# Hungarian matcher
														lowerCamelCase__ :     Optional[int]	  =	class_cost
														lowerCamelCase__ :     List[str]	  =	bbox_cost
														lowerCamelCase__ :     Any	  =	giou_cost
														# Loss coefficients
														lowerCamelCase__ :     Union[str, Any]	  =	mask_loss_coefficient
														lowerCamelCase__ :     Tuple	  =	dice_loss_coefficient
														lowerCamelCase__ :     int	  =	bbox_loss_coefficient
														lowerCamelCase__ :     Optional[Any]	  =	giou_loss_coefficient
														lowerCamelCase__ :     Dict	  =	eos_coefficient
														lowerCamelCase__ :     Any	  =	focal_alpha
														lowerCamelCase__ :     Optional[Any]	  =	disable_custom_kernels
														super().__init__(is_encoder_decoder=UpperCamelCase__      ,							**UpperCamelCase__					)




							@property
							def 		lowerCamelCase_    (							self:    Dict					):
														return self.encoder_attention_heads




							@property
							def 		lowerCamelCase_    (							self:    Any					):
														return self.d_model




							def 		lowerCamelCase_    (							self:    List[str]					):
														lowerCamelCase__ :     Optional[int]	  =	copy.deepcopy(self.__dict__					)
														if self.backbone_config is not None:
																					lowerCamelCase__ :     int	  =	self.backbone_config.to_dict()
														lowerCamelCase__ :     int	  =	self.__class__.model_type
														return output

