



"""simple docstring"""


import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
				from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


snake_case_    					=	get_tests_dir("""fixtures/test_sentencepiece.model""")

snake_case_    					=	{"""target_lang""": """fi""", """source_lang""": """en"""}
snake_case_    					=	""">>zh<<"""
snake_case_    					=	"""Helsinki-NLP/"""

if is_torch_available():
				snake_case_    					=	"""pt"""
elif is_tf_available():
				snake_case_    					=	"""tf"""
else:
				snake_case_    					=	"""jax"""







@require_sentencepiece
class 				A_      (					SCREAMING_SNAKE_CASE_     ,       unittest.TestCase    ):



						"""simple docstring"""
						__UpperCamelCase		    =							MarianTokenizer
						__UpperCamelCase		    =							False
						__UpperCamelCase		    =							True






						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      List[str]:
												super().setUp()
												UpperCAmelCase					=			['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
												UpperCAmelCase					=			dict(zip(lowercase_       ,  range(len(lowercase_ ) ) ) )
												UpperCAmelCase					=			Path(self.tmpdirname )
												save_json(lowercase_       ,  save_dir / VOCAB_FILES_NAMES['vocab'] )
												save_json(lowercase_       ,  save_dir / VOCAB_FILES_NAMES['tokenizer_config_file'] )
												if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
																		copyfile(lowercase_       ,  save_dir / VOCAB_FILES_NAMES['source_spm'] )
																		copyfile(lowercase_       ,  save_dir / VOCAB_FILES_NAMES['target_spm'] )

												UpperCAmelCase					=			MarianTokenizer.from_pretrained(self.tmpdirname )
												tokenizer.save_pretrained(self.tmpdirname )






						def      UpperCAmelCase__					( self			:List[str]       ,  **lowercase_			:Optional[Any] )    ->      MarianTokenizer:
												return MarianTokenizer.from_pretrained(self.tmpdirname       ,  **lowercase_ )






						def      UpperCAmelCase__					( self			:Dict       ,  lowercase_			:Tuple )    ->      Dict:
												return (
												    "This is a test",
												    "This is a test",
												)






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      Dict:
												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      UpperCAmelCase__					( self			:Tuple )    ->      Any:
												UpperCAmelCase					=			list(self.get_tokenizer().get_vocab().keys() )

												self.assertEqual(vocab_keys[0]       ,  '</s>' )
												self.assertEqual(vocab_keys[1]       ,  '<unk>' )
												self.assertEqual(vocab_keys[-1]       ,  '<pad>' )
												self.assertEqual(len(lowercase_ )       ,  9 )






						def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Tuple:
												self.assertEqual(self.get_tokenizer().vocab_size       ,  9 )






						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      Optional[int]:
												UpperCAmelCase					=			MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de""" )
												UpperCAmelCase					=			en_de_tokenizer(['I am a small frog']       ,  return_tensors=lowercase_ )
												self.assertIsInstance(lowercase_       ,  lowercase_ )
												UpperCAmelCase					=			[38, 1_21, 14, 6_97, 3_88_48, 0]
												self.assertListEqual(lowercase_       ,  batch.input_ids[0] )

												UpperCAmelCase					=			tempfile.mkdtemp()
												en_de_tokenizer.save_pretrained(lowercase_ )
												UpperCAmelCase					=			[x.name for x in Path(lowercase_ ).glob('*' )]
												self.assertIn('source.spm'       ,  lowercase_ )
												MarianTokenizer.from_pretrained(lowercase_ )






						def      UpperCAmelCase__					( self			:List[str] )    ->      List[str]:
												UpperCAmelCase					=			self.get_tokenizer()

												UpperCAmelCase					=			tok(
												    ['I am a small frog' * 10_00, 'I am a small frog']       ,  padding=lowercase_       ,  truncation=lowercase_       ,  return_tensors=lowercase_ )
												self.assertIsInstance(lowercase_       ,  lowercase_ )
												self.assertEqual(batch.input_ids.shape       ,  (2, 5_12) )






						def      UpperCAmelCase__					( self			:int )    ->      Optional[int]:
												UpperCAmelCase					=			self.get_tokenizer()
												UpperCAmelCase					=			tok(['I am a tiny frog', 'I am a small frog']       ,  padding=lowercase_       ,  return_tensors=lowercase_ )
												self.assertIsInstance(lowercase_       ,  lowercase_ )
												self.assertEqual(batch_smaller.input_ids.shape       ,  (2, 10) )






						@slow
						def      UpperCAmelCase__					( self			:Optional[int] )    ->      int:
												# fmt: off
												UpperCAmelCase					=			{'input_ids': [[4_34_95, 4_62, 20, 4_21_64, 13_69, 52, 4_64, 1_32, 17_03, 4_92, 13, 74_91, 3_89_99, 6, 8, 4_64, 1_32, 17_03, 4_92, 13, 46_69, 3_78_67, 13, 75_25, 27, 15_93, 9_88, 13, 3_39_72, 70_29, 6, 20, 82_51, 3_83, 2, 2_70, 58_66, 37_88, 2, 23_53, 82_51, 1_23_38, 2, 1_39_58, 3_87, 2, 36_29, 69_53, 1_88, 29_00, 2, 1_39_58, 80_11, 1_15_01, 23, 84_60, 40_73, 3_40_09, 20, 4_35, 1_14_39, 27, 8, 84_60, 40_73, 60_04, 20, 99_88, 3_75, 27, 33, 2_66, 19_45, 10_76, 13_50, 3_78_67, 32_88, 5, 5_77, 10_76, 43_74, 8, 50_82, 5, 2_64_53, 2_57, 5_56, 4_03, 2, 2_42, 1_32, 3_83, 3_16, 4_92, 8, 1_07_67, 6, 3_16, 3_04, 42_39, 3, 0], [1_48, 1_57_22, 19, 18_39, 12, 13_50, 13, 2_23_27, 50_82, 54_18, 4_75_67, 3_59_38, 59, 3_18, 1_95_52, 1_08, 21_83, 54, 1_49_76, 48_35, 32, 5_47, 11_14, 8, 3_15, 24_17, 5, 92, 1_90_88, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00], [36, 63_95, 1_25_70, 3_91_47, 1_15_97, 6, 2_66, 4, 4_54_05, 72_96, 3, 0, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00, 5_81_00]], '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, 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], [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]]}  # noqa: E501
												# fmt: on

												self.tokenizer_integration_test_util(
												    expected_encoding=lowercase_       ,  model_name='Helsinki-NLP/opus-mt-en-de'       ,  revision='1a8c2263da11e68e50938f97e10cd57820bd504c'       ,  decode_kwargs={'use_source_tokenizer': True}       ,  )






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      int:
												UpperCAmelCase					=			MarianTokenizer.from_pretrained('hf-internal-testing/test-marian-two-vocabs' )

												UpperCAmelCase					=			'Tämä on testi'
												UpperCAmelCase					=			'This is a test'

												UpperCAmelCase					=			[76, 7, 20_47, 2]
												UpperCAmelCase					=			[69, 12, 11, 9_40, 2]

												UpperCAmelCase					=			tokenizer(lowercase_ ).input_ids
												self.assertListEqual(lowercase_       ,  lowercase_ )

												UpperCAmelCase					=			tokenizer(text_target=lowercase_ ).input_ids
												self.assertListEqual(lowercase_       ,  lowercase_ )

												UpperCAmelCase					=			tokenizer.decode(lowercase_       ,  skip_special_tokens=lowercase_ )
												self.assertEqual(lowercase_       ,  lowercase_ )







"""simple docstring"""


import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


snake_case_    					=	{
    """facebook/maskformer-swin-base-ade""": (
        """https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json"""
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

snake_case_    					=	logging.get_logger(__name__)







class 				A_      (					SCREAMING_SNAKE_CASE_    ):



						"""simple docstring"""
						__UpperCamelCase		    =							"""maskformer"""
						__UpperCamelCase		    =							{"""hidden_size""": """mask_feature_size"""}
						__UpperCamelCase		    =							["""resnet""", """swin"""]
						__UpperCamelCase		    =							["""detr"""]






						def __init__( self			:Dict       ,  lowercase_			:int = 2_56       ,  lowercase_			:int = 2_56       ,  lowercase_			:float = 0.1       ,  lowercase_			:bool = False       ,  lowercase_			:Optional[Dict] = None       ,  lowercase_			:Optional[Dict] = None       ,  lowercase_			:float = 0.02       ,  lowercase_			:float = 1.0       ,  lowercase_			:float = 1.0       ,  lowercase_			:float = 1.0       ,  lowercase_			:float = 20.0       ,  lowercase_			:Optional[bool] = None       ,  **lowercase_			:List[str]       ,  )    ->      Optional[int]:
												if backbone_config is None:
																		# fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
																		UpperCAmelCase					=			SwinConfig(
																		    image_size=3_84       ,  in_channels=3       ,  patch_size=4       ,  embed_dim=1_28       ,  depths=[2, 2, 18, 2]       ,  num_heads=[4, 8, 16, 32]       ,  window_size=12       ,  drop_path_rate=0.3       ,  out_features=['stage1', 'stage2', 'stage3', 'stage4']       ,  )

												if isinstance(lowercase_       ,  lowercase_ ):
																		UpperCAmelCase					=			backbone_config.pop('model_type' )
																		UpperCAmelCase					=			CONFIG_MAPPING[backbone_model_type]
																		UpperCAmelCase					=			config_class.from_dict(lowercase_ )

												# verify that the backbone is supported
												if backbone_config.model_type not in self.backbones_supported:
																		logger.warning_once(
																		    f"""Backbone {backbone_config.model_type} is not a supported model and may not be compatible with MaskFormer. """
																		    f"""Supported model types: {','.join(self.backbones_supported )}""" )

												if decoder_config is None:
																		# fall back to https://huggingface.co/facebook/detr-resnet-50
																		UpperCAmelCase					=			DetrConfig()
												else:
																		# verify that the decoder is supported
																		UpperCAmelCase					=			(
																		    decoder_config.pop('model_type' ) if isinstance(lowercase_       ,  lowercase_ ) else decoder_config.model_type
																		)
																		if decoder_type not in self.decoders_supported:
																								raise ValueError(
																								    f"""Transformer Decoder {decoder_type} not supported, please use one of"""
																								    f""" {','.join(self.decoders_supported )}""" )
																		if isinstance(lowercase_       ,  lowercase_ ):
																								UpperCAmelCase					=			CONFIG_MAPPING[decoder_type]
																								UpperCAmelCase					=			config_class.from_dict(lowercase_ )

												UpperCAmelCase					=			backbone_config
												UpperCAmelCase					=			decoder_config
												# main feature dimension for the model
												UpperCAmelCase					=			fpn_feature_size
												UpperCAmelCase					=			mask_feature_size
												# initializer
												UpperCAmelCase					=			init_std
												UpperCAmelCase					=			init_xavier_std
												# Hungarian matcher && loss
												UpperCAmelCase					=			cross_entropy_weight
												UpperCAmelCase					=			dice_weight
												UpperCAmelCase					=			mask_weight
												UpperCAmelCase					=			use_auxiliary_loss
												UpperCAmelCase					=			no_object_weight
												UpperCAmelCase					=			output_auxiliary_logits

												UpperCAmelCase					=			self.decoder_config.encoder_attention_heads
												UpperCAmelCase					=			self.decoder_config.num_hidden_layers
												super().__init__(**lowercase_ )






						@classmethod
						def      UpperCAmelCase__					( cls			:int       ,  lowercase_			:PretrainedConfig       ,  lowercase_			:PretrainedConfig       ,  **lowercase_			:int )    ->      List[Any]:
												return cls(
												    backbone_config=lowercase_       ,  decoder_config=lowercase_       ,  **lowercase_       ,  )






						def      UpperCAmelCase__					( self			:Tuple )    ->      Dict[str, any]:
												UpperCAmelCase					=			copy.deepcopy(self.__dict__ )
												UpperCAmelCase					=			self.backbone_config.to_dict()
												UpperCAmelCase					=			self.decoder_config.to_dict()
												UpperCAmelCase					=			self.__class__.model_type
												return output





