





import copy

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


_lowerCamelCase   				=			logging.get_logger(__name__)

_lowerCamelCase   				=			{
    '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   UpperCamelCase_       (     UpperCamelCase__    ):
							lowerCamelCase_           =					"dpt"


							def __init__(							self    :Union[str, Any]							,				__A    :int=768							,				__A    :Optional[int]=12							,				__A    :Optional[Any]=12							,				__A    :Dict=3072							,				__A    :Optional[Any]="gelu"							,				__A    :Union[str, Any]=0.0							,				__A    :Optional[Any]=0.0							,				__A    :int=0.0_2							,				__A    :Optional[Any]=1E-12							,				__A    :Union[str, Any]=384							,				__A    :int=16							,				__A    :Tuple=3							,				__A    :Tuple=False							,				__A    :int=True							,				__A    :Optional[Any]=[2, 5, 8, 11]							,				__A    :Any="project"							,				__A    :Any=[4, 2, 1, 0.5]							,				__A    :str=[96, 192, 384, 768]							,				__A    :int=256							,				__A    :Union[str, Any]=-1							,				__A    :List[Any]=False							,				__A    :int=True							,				__A    :List[Any]=0.4							,				__A    :Any=255							,				__A    :Any=0.1							,				__A    :Tuple=[1, 1024, 24, 24]							,				__A    :int=[0, 1]							,				__A    :Union[str, Any]=None							,				**__A    :Dict							,				)   ->   Optional[Any]:



									"""simple docstring"""



									super().__init__(**__A		)

									SCREAMING_SNAKE_CASE__			=      hidden_size
									SCREAMING_SNAKE_CASE__			=      is_hybrid

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

											SCREAMING_SNAKE_CASE__			=      backbone_featmap_shape
											SCREAMING_SNAKE_CASE__			=      neck_ignore_stages

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

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


							def      _snake_case  (							self    :Any		)   ->   Tuple:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__			=      copy.deepcopy(self.__dict__		)

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

									SCREAMING_SNAKE_CASE__			=      self.__class__.model_type
									return output






import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


_lowerCamelCase   				=			'\\n    Text data.\n    Second line of data.'

_lowerCamelCase   				=			'file'






@pytest.fixture(scope="""session"""    )
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Any    ):
		SCREAMING_SNAKE_CASE__			=      tmp_path_factory.mktemp("""data"""    ) / (FILE_PATH + """.zstd""")
		SCREAMING_SNAKE_CASE__			=      bytes(UpperCamelCase__					,   """utf-8"""    )
		with zstd.open(UpperCamelCase__					,   """wb"""    ) as f:
				f.write(UpperCamelCase__    )
		return path






@pytest.fixture
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[str]    ):
		with open(os.path.join(tmpfs.local_root_dir					,   UpperCamelCase__    )					,   """w"""    ) as f:
				f.write(UpperCamelCase__    )
		return FILE_PATH






@pytest.mark.parametrize("""compression_format"""					,   ["""gzip""", """xz""", """zstd"""]    )
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							int					,   UpperCamelCase__:							Dict					,   UpperCamelCase__:							int					,   UpperCamelCase__:							str					,   UpperCamelCase__:							Optional[int]					,   UpperCamelCase__:							Optional[Any]    ):
		SCREAMING_SNAKE_CASE__			=      {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_path}
		SCREAMING_SNAKE_CASE__			=      input_paths[compression_format]
		SCREAMING_SNAKE_CASE__			=      tmp_path / """cache"""
		SCREAMING_SNAKE_CASE__			=      DownloadConfig(cache_dir=UpperCamelCase__					,   extract_compressed_file=UpperCamelCase__    )
		SCREAMING_SNAKE_CASE__			=      cached_path(UpperCamelCase__					,   download_config=UpperCamelCase__    )
		with open(UpperCamelCase__    ) as f:
				SCREAMING_SNAKE_CASE__			=      f.read()
		with open(UpperCamelCase__    ) as f:
				SCREAMING_SNAKE_CASE__			=      f.read()
		assert extracted_file_content == expected_file_content






@pytest.mark.parametrize("""default_extracted"""					,   [True, False]    )
@pytest.mark.parametrize("""default_cache_dir"""					,   [True, False]    )
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Tuple					,   UpperCamelCase__:							List[str]					,   UpperCamelCase__:							Optional[int]					,   UpperCamelCase__:							Any					,   UpperCamelCase__:							Union[str, Any]    ):
		SCREAMING_SNAKE_CASE__			=      """custom_cache"""
		SCREAMING_SNAKE_CASE__			=      """custom_extracted_dir"""
		SCREAMING_SNAKE_CASE__			=      tmp_path / """custom_extracted_path"""
		if default_extracted:
				SCREAMING_SNAKE_CASE__			=      ("""downloads""" if default_cache_dir else custom_cache_dir, """extracted""")
		else:
				monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_DIR"""					,   UpperCamelCase__    )
				monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""					,   str(UpperCamelCase__    )    )
				SCREAMING_SNAKE_CASE__			=      custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

		SCREAMING_SNAKE_CASE__			=      xz_file
		SCREAMING_SNAKE_CASE__			=      (
		    DownloadConfig(extract_compressed_file=UpperCamelCase__    )
		    if default_cache_dir
		    else DownloadConfig(cache_dir=tmp_path / custom_cache_dir					,   extract_compressed_file=UpperCamelCase__    )
		)
		SCREAMING_SNAKE_CASE__			=      cached_path(UpperCamelCase__					,   download_config=UpperCamelCase__    )
		assert Path(UpperCamelCase__    ).parent.parts[-2:] == expected






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Optional[int]    ):
		# absolute path
		SCREAMING_SNAKE_CASE__			=      str(Path(UpperCamelCase__    ).resolve()    )
		assert cached_path(UpperCamelCase__    ) == text_file
		# relative path
		SCREAMING_SNAKE_CASE__			=      str(Path(UpperCamelCase__    ).resolve().relative_to(Path(os.getcwd()    )    )    )
		assert cached_path(UpperCamelCase__    ) == text_file






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[str]    ):
		# absolute path
		SCREAMING_SNAKE_CASE__			=      str(tmp_path.resolve() / """__missing_file__.txt"""    )
		with pytest.raises(UpperCamelCase__    ):
				cached_path(UpperCamelCase__    )
		# relative path
		SCREAMING_SNAKE_CASE__			=      """./__missing_file__.txt"""
		with pytest.raises(UpperCamelCase__    ):
				cached_path(UpperCamelCase__    )






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[str]    ):
		SCREAMING_SNAKE_CASE__			=      get_from_cache(f'''tmp://{tmpfs_file}'''    )
		with open(UpperCamelCase__    ) as f:
				SCREAMING_SNAKE_CASE__			=      f.read()
		assert output_file_content == FILE_CONTENT






@patch("""datasets.config.HF_DATASETS_OFFLINE"""					,   UpperCamelCase__    )
def 				SCREAMING_SNAKE_CASE__							(       ):
		with pytest.raises(UpperCamelCase__    ):
				cached_path("""https://huggingface.co"""    )






@patch("""datasets.config.HF_DATASETS_OFFLINE"""					,   UpperCamelCase__    )
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Optional[Any]    ):
		SCREAMING_SNAKE_CASE__			=      tmp_path_factory.mktemp("""data"""    ) / """file.html"""
		with pytest.raises(UpperCamelCase__    ):
				http_get("""https://huggingface.co"""					,   temp_file=UpperCamelCase__    )
		with pytest.raises(UpperCamelCase__    ):
				http_head("""https://huggingface.co"""    )






@patch("""datasets.config.HF_DATASETS_OFFLINE"""					,   UpperCamelCase__    )
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[Any]    ):
		SCREAMING_SNAKE_CASE__			=      tmp_path_factory.mktemp("""data"""    ) / """file.html"""
		with pytest.raises(UpperCamelCase__    ):
				ftp_get("""ftp://huggingface.co"""					,   temp_file=UpperCamelCase__    )
		with pytest.raises(UpperCamelCase__    ):
				ftp_head("""ftp://huggingface.co"""    )






@patch("""datasets.config.HF_DATASETS_OFFLINE"""					,   UpperCamelCase__    )
def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							int    ):
		SCREAMING_SNAKE_CASE__			=      tmp_path_factory.mktemp("""data"""    ) / """file.html"""
		with pytest.raises(UpperCamelCase__    ):
				fsspec_get("""s3://huggingface.co"""					,   temp_file=UpperCamelCase__    )
		with pytest.raises(UpperCamelCase__    ):
				fsspec_head("""s3://huggingface.co"""    )