

"""simple docstring"""




import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


_lowercase   :	int												=						get_tests_dir('fixtures/test_sentencepiece.model')

if is_torch_available():
				from transformers.models.mbart.modeling_mbart import shift_tokens_right

_lowercase   :	Tuple												=						25_00_04
_lowercase   :	Optional[Any]												=						25_00_20
@require_sentencepiece
@require_tokenizers
class      _UpperCAmelCase   (							_lowerCAmelCase		,    unittest.TestCase       ):
	a__		: List[str]					=					MBartaaTokenizer
	a__		: List[str]					=					MBartaaTokenizerFast
	a__		: Union[str, Any]					=					True
	a__		: Optional[Any]					=					True



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

		# We have a SentencePiece fixture for testing
		__UpperCAmelCase      		= MBartaaTokenizer(_lowercase			,    src_lang='''en_XX'''			,    tgt_lang='''ro_RO'''			,    keep_accents=_lowercase						)
		tokenizer.save_pretrained(self.tmpdirname						)



	def        a  (  self     :       Any						):
		__UpperCAmelCase      		= '''<s>'''
		__UpperCAmelCase      		= 0

		self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowercase						)			,    _lowercase						)
		self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowercase						)			,    _lowercase						)



	def        a  (  self     :       List[str]						):
		__UpperCAmelCase      		= list(self.get_tokenizer().get_vocab().keys()						)

		self.assertEqual(vocab_keys[0]			,    '''<s>'''						)
		self.assertEqual(vocab_keys[1]			,    '''<pad>'''						)
		self.assertEqual(vocab_keys[-1]			,    '''<mask>'''						)
		self.assertEqual(len(_lowercase						)			,    10_54						)



	def        a  (  self     :       Union[str, Any]						):
		self.assertEqual(self.get_tokenizer().vocab_size			,    10_54						)



	def        a  (  self     :       List[Any]						):
		__UpperCAmelCase      		= MBartaaTokenizer(_lowercase			,    src_lang='''en_XX'''			,    tgt_lang='''ro_RO'''			,    keep_accents=_lowercase						)

		__UpperCAmelCase      		= tokenizer.tokenize('''This is a test'''						)
		self.assertListEqual(_lowercase			,    ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']						)

		self.assertListEqual(
		    tokenizer.convert_tokens_to_ids(_lowercase						)			,    [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]			,    )

		__UpperCAmelCase      		= tokenizer.tokenize('''I was born in 92000, and this is falsé.'''						)
		self.assertListEqual(
		    _lowercase			,    [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''9''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''é''', '''.''']			,    )
		__UpperCAmelCase      		= tokenizer.convert_tokens_to_ids(_lowercase						)
		self.assertListEqual(
		    _lowercase			,    [
		        value + tokenizer.fairseq_offset
		        for value in [8, 21, 84, 55, 24, 19, 7, 2, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, 2, 4]
		    ]			,    )

		__UpperCAmelCase      		= tokenizer.convert_ids_to_tokens(_lowercase						)
		self.assertListEqual(
		    _lowercase			,    [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''<unk>''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''<unk>''', '''.''']			,    )



	@slow
	def        a  (  self     :       List[str]						):
		# fmt: off
		__UpperCAmelCase      		= {'''input_ids''': [[25_00_04, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 54_28, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 1_23_99, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 27_89, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 8_05, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [25_00_04, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [25_00_04, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
		# fmt: on

		self.tokenizer_integration_test_util(
		    expected_encoding=_lowercase			,    model_name='''facebook/mbart-large-50'''			,    revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''			,    )



	def        a  (  self     :       Any						):
		if not self.test_slow_tokenizer:
			# as we don't have a slow version, we can't compare the outputs between slow and fast versions
			return

		__UpperCAmelCase      		= (self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart50''', {})
		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(_lowercase			,    **_lowercase						)
				__UpperCAmelCase      		= self.tokenizer_class.from_pretrained(_lowercase			,    **_lowercase						)

				__UpperCAmelCase      		= tempfile.mkdtemp()

				__UpperCAmelCase      		= tokenizer_r.save_pretrained(_lowercase						)
				__UpperCAmelCase      		= tokenizer_p.save_pretrained(_lowercase						)

				# Checks it save with the same files + the tokenizer.json file for the fast one
				self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files						)						)
				__UpperCAmelCase      		= tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f						)
				self.assertSequenceEqual(_lowercase			,    _lowercase						)

				# Checks everything loads correctly in the same way
				__UpperCAmelCase      		= tokenizer_r.from_pretrained(_lowercase						)
				__UpperCAmelCase      		= tokenizer_p.from_pretrained(_lowercase						)

				# Check special tokens are set accordingly on Rust and Python
				for key in tokenizer_pp.special_tokens_map:
					self.assertTrue(hasattr(_lowercase			,    _lowercase						)						)
					# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
					# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

				shutil.rmtree(_lowercase						)

				# Save tokenizer rust, legacy_format=True
				__UpperCAmelCase      		= tempfile.mkdtemp()

				__UpperCAmelCase      		= tokenizer_r.save_pretrained(_lowercase			,    legacy_format=_lowercase						)
				__UpperCAmelCase      		= tokenizer_p.save_pretrained(_lowercase						)

				# Checks it save with the same files
				self.assertSequenceEqual(_lowercase			,    _lowercase						)

				# Checks everything loads correctly in the same way
				__UpperCAmelCase      		= tokenizer_r.from_pretrained(_lowercase						)
				__UpperCAmelCase      		= tokenizer_p.from_pretrained(_lowercase						)

				# Check special tokens are set accordingly on Rust and Python
				for key in tokenizer_pp.special_tokens_map:
					self.assertTrue(hasattr(_lowercase			,    _lowercase						)						)

				shutil.rmtree(_lowercase						)

				# Save tokenizer rust, legacy_format=False
				__UpperCAmelCase      		= tempfile.mkdtemp()

				__UpperCAmelCase      		= tokenizer_r.save_pretrained(_lowercase			,    legacy_format=_lowercase						)
				__UpperCAmelCase      		= tokenizer_p.save_pretrained(_lowercase						)

				# Checks it saved the tokenizer.json file
				self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files						)						)

				# Checks everything loads correctly in the same way
				__UpperCAmelCase      		= tokenizer_r.from_pretrained(_lowercase						)
				__UpperCAmelCase      		= tokenizer_p.from_pretrained(_lowercase						)

				# Check special tokens are set accordingly on Rust and Python
				for key in tokenizer_pp.special_tokens_map:
					self.assertTrue(hasattr(_lowercase			,    _lowercase						)						)

				shutil.rmtree(_lowercase						)






@require_torch
@require_sentencepiece
@require_tokenizers
class      _UpperCAmelCase   (							unittest.TestCase       ):
	a__		: Tuple					=					"facebook/mbart-large-50-one-to-many-mmt"
	a__		: Optional[Any]					=					[
	    " UN Chief Says There Is No Military Solution in Syria",
	    " Secretary-General Ban Ki-moon says his response to Russia's stepped up military support for Syria is that \"there is no military solution\" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.",
	]
	a__		: List[str]					=					[
	    "Şeful ONU declară că nu există o soluţie militară în Siria",
	    "Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei"
	    " pentru Siria este că \"nu există o soluţie militară\" la conflictul de aproape cinci ani şi că noi arme nu vor"
	    " face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.",
	]
	a__		: Dict					=					[EN_CODE, 8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2]



	@classmethod
	def        a  (  cls     :       Tuple						):
		__UpperCAmelCase      		= MBartaaTokenizer.from_pretrained(
		    cls.checkpoint_name			,    src_lang='''en_XX'''			,    tgt_lang='''ro_RO'''						)
		__UpperCAmelCase      		= 1
		return cls



	def        a  (  self     :       Tuple						):
		self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']			,    25_00_01						)
		self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']			,    25_00_04						)
		self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']			,    25_00_20						)
		self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN''']			,    25_00_38						)



	def        a  (  self     :       int						):
		__UpperCAmelCase      		= self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
		self.assertListEqual(self.expected_src_tokens			,    _lowercase						)



	def        a  (  self     :       Union[str, Any]						):
		self.assertIn(_lowercase			,    self.tokenizer.all_special_ids						)
		__UpperCAmelCase      		= [RO_CODE, 8_84, 90_19, 96, 9, 9_16, 8_67_92, 36, 1_87_43, 1_55_96, 5, 2]
		__UpperCAmelCase      		= self.tokenizer.decode(_lowercase			,    skip_special_tokens=_lowercase						)
		__UpperCAmelCase      		= self.tokenizer.decode(generated_ids[1:]			,    skip_special_tokens=_lowercase						)
		self.assertEqual(_lowercase			,    _lowercase						)
		self.assertNotIn(self.tokenizer.eos_token			,    _lowercase						)



	def        a  (  self     :       Any						):
		__UpperCAmelCase      		= ['''this is gunna be a long sentence ''' * 20]
		assert isinstance(src_text[0]			,    _lowercase						)
		__UpperCAmelCase      		= 10
		__UpperCAmelCase      		= self.tokenizer(_lowercase			,    max_length=_lowercase			,    truncation=_lowercase						).input_ids[0]
		self.assertEqual(ids[0]			,    _lowercase						)
		self.assertEqual(ids[-1]			,    2						)
		self.assertEqual(len(_lowercase						)			,    _lowercase						)



	def        a  (  self     :       Dict						):
		self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']						)			,    [25_00_53, 25_00_01]						)



	def        a  (  self     :       Any						):
		__UpperCAmelCase      		= tempfile.mkdtemp()
		__UpperCAmelCase      		= self.tokenizer.fairseq_tokens_to_ids
		self.tokenizer.save_pretrained(_lowercase						)
		__UpperCAmelCase      		= MBartaaTokenizer.from_pretrained(_lowercase						)
		self.assertDictEqual(new_tok.fairseq_tokens_to_ids			,    _lowercase						)



	@require_torch
	def        a  (  self     :       Dict						):
		__UpperCAmelCase      		= self.tokenizer(self.src_text			,    text_target=self.tgt_text			,    padding=_lowercase			,    return_tensors='''pt'''						)
		__UpperCAmelCase      		= shift_tokens_right(batch['''labels''']			,    self.tokenizer.pad_token_id						)

		# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
		assert batch.input_ids[1][0] == EN_CODE
		assert batch.input_ids[1][-1] == 2
		assert batch.labels[1][0] == RO_CODE
		assert batch.labels[1][-1] == 2
		assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]



	@require_torch
	def        a  (  self     :       Optional[int]						):
		__UpperCAmelCase      		= self.tokenizer(
		    self.src_text			,    text_target=self.tgt_text			,    padding=_lowercase			,    truncation=_lowercase			,    max_length=len(self.expected_src_tokens						)			,    return_tensors='''pt'''			,    )
		__UpperCAmelCase      		= shift_tokens_right(batch['''labels''']			,    self.tokenizer.pad_token_id						)

		self.assertIsInstance(_lowercase			,    _lowercase						)

		self.assertEqual((2, 14)			,    batch.input_ids.shape						)
		self.assertEqual((2, 14)			,    batch.attention_mask.shape						)
		__UpperCAmelCase      		= batch.input_ids.tolist()[0]
		self.assertListEqual(self.expected_src_tokens			,    _lowercase						)
		self.assertEqual(2			,    batch.decoder_input_ids[0, 0]						)  # decoder_start_token_id
		# Test that special tokens are reset
		self.assertEqual(self.tokenizer.prefix_tokens			,    [EN_CODE]						)
		self.assertEqual(self.tokenizer.suffix_tokens			,    [self.tokenizer.eos_token_id]						)



	def        a  (  self     :       Union[str, Any]						):
		__UpperCAmelCase      		= self.tokenizer(self.src_text			,    padding=_lowercase			,    truncation=_lowercase			,    max_length=3			,    return_tensors='''pt'''						)
		__UpperCAmelCase      		= self.tokenizer(
		    text_target=self.tgt_text			,    padding=_lowercase			,    truncation=_lowercase			,    max_length=10			,    return_tensors='''pt'''						)
		__UpperCAmelCase      		= targets['''input_ids''']
		__UpperCAmelCase      		= shift_tokens_right(_lowercase			,    self.tokenizer.pad_token_id						)

		self.assertEqual(batch.input_ids.shape[1]			,    3						)
		self.assertEqual(batch.decoder_input_ids.shape[1]			,    10						)



	@require_torch
	def        a  (  self     :       List[str]						):
		__UpperCAmelCase      		= self.tokenizer._build_translation_inputs(
		    '''A test'''			,    return_tensors='''pt'''			,    src_lang='''en_XX'''			,    tgt_lang='''ar_AR'''						)

		self.assertEqual(
		    nested_simplify(_lowercase						)			,    {
		        # en_XX, A, test, EOS
		        '''input_ids''': [[25_00_04, 62, 30_34, 2]],
		        '''attention_mask''': [[1, 1, 1, 1]],
		        # ar_AR
		        '''forced_bos_token_id''': 25_00_01,
		    }			,    )




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A			:						Any        =  logging.get_logger(__name__)

A			:						Tuple        =  {
    'sail/poolformer_s12': 'https://huggingface.co/sail/poolformer_s12/resolve/main/config.json',
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}



class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					'''poolformer'''

					def __init__(self       :		Dict ,   _UpperCAmelCase       :		Union[str, Any]=3 ,   _UpperCAmelCase       :		str=16 ,   _UpperCAmelCase       :		Any=16 ,   _UpperCAmelCase       :		Union[str, Any]=3 ,   _UpperCAmelCase       :		Union[str, Any]=4.0 ,   _UpperCAmelCase       :		str=[2, 2, 6, 2] ,   _UpperCAmelCase       :		int=[64, 128, 320, 512] ,   _UpperCAmelCase       :		Union[str, Any]=[7, 3, 3, 3] ,   _UpperCAmelCase       :		List[Any]=[4, 2, 2, 2] ,   _UpperCAmelCase       :		Union[str, Any]=[2, 1, 1, 1] ,   _UpperCAmelCase       :		Optional[Any]=4 ,   _UpperCAmelCase       :		Dict=0.0 ,   _UpperCAmelCase       :		Union[str, Any]="gelu" ,   _UpperCAmelCase       :		Optional[Any]=True ,   _UpperCAmelCase       :		Tuple=1E-5 ,   _UpperCAmelCase       :		Tuple=0.02 ,   **_UpperCAmelCase       :		Union[str, Any] ,   )		->  Optional[int]:




							"""simple docstring"""


							lowercase__	     =						num_channels
							lowercase__	     =						patch_size
							lowercase__	     =						stride
							lowercase__	     =						padding
							lowercase__	     =						pool_size
							lowercase__	     =						hidden_sizes
							lowercase__	     =						mlp_ratio
							lowercase__	     =						depths
							lowercase__	     =						patch_sizes
							lowercase__	     =						strides
							lowercase__	     =						num_encoder_blocks
							lowercase__	     =						drop_path_rate
							lowercase__	     =						hidden_act
							lowercase__	     =						use_layer_scale
							lowercase__	     =						layer_scale_init_value
							lowercase__	     =						initializer_range
							super().__init__(**_UpperCAmelCase						)






class 				A       (			UpperCAmelCase__				):
					'''simple docstring'''






					A__     =					version.parse('''1.11'''				)

					@property
					def     lowerCamelCase__	(self       :		List[str]						)		->  Mapping[str, Mapping[int, str]]:




							"""simple docstring"""


							return OrderedDict(
							    [
							        ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
							    ]						)


					@property
					def     lowerCamelCase__	(self       :		Dict						)		->  float:




							"""simple docstring"""


							return 2E-3

