


from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


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





class   SCREAMING_SNAKE_CASE_			(_lowerCamelCase						,       _lowerCamelCase						):




       '''simple docstring'''



       _a   							=							'''maskformer-swin'''

       _a   							=							{
           '''num_attention_heads''': '''num_heads''',
           '''num_hidden_layers''': '''num_layers''',
       }



       def __init__(						self				:				List[str]		,				__a				:				Union[str, Any]=224		,				__a				:				int=4		,				__a				:				Optional[Any]=3		,				__a				:				List[str]=96		,				__a				:				Dict=[2, 2, 6, 2]		,				__a				:				List[Any]=[3, 6, 12, 24]		,				__a				:				str=7		,				__a				:				Dict=4.0		,				__a				:				int=True		,				__a				:				Optional[Any]=0.0		,				__a				:				List[Any]=0.0		,				__a				:				List[Any]=0.1		,				__a				:				Any="gelu"		,				__a				:				Tuple=False		,				__a				:				Optional[int]=0.02		,				__a				:				Optional[int]=1e-5		,				__a				:				Tuple=None		,				__a				:				List[Any]=None		,				**__a				:				str		,				)					->str:
          super().__init__(**_SCREAMING_SNAKE_CASE							)

          lowerCamelCase_						:   Any		= image_size
          lowerCamelCase_						:   int		= patch_size
          lowerCamelCase_						:   Tuple		= num_channels
          lowerCamelCase_						:   List[Any]		= embed_dim
          lowerCamelCase_						:   str		= depths
          lowerCamelCase_						:   Any		= len(_SCREAMING_SNAKE_CASE							)
          lowerCamelCase_						:   Tuple		= num_heads
          lowerCamelCase_						:   List[str]		= window_size
          lowerCamelCase_						:   Union[str, Any]		= mlp_ratio
          lowerCamelCase_						:   Optional[int]		= qkv_bias
          lowerCamelCase_						:   List[Any]		= hidden_dropout_prob
          lowerCamelCase_						:   Dict		= attention_probs_dropout_prob
          lowerCamelCase_						:   List[str]		= drop_path_rate
          lowerCamelCase_						:   List[str]		= hidden_act
          lowerCamelCase_						:   str		= use_absolute_embeddings
          lowerCamelCase_						:   Optional[int]		= layer_norm_eps
          lowerCamelCase_						:   Any		= initializer_range
          # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
          # this indicates the channel dimension after the last stage of the model
          lowerCamelCase_						:   Optional[int]		= int(embed_dim * 2 ** (len(_SCREAMING_SNAKE_CASE							) - 1)							)
          lowerCamelCase_						:   int		= ['stem'] + [F'''stage{idx}''' for idx in range(1		,				len(_SCREAMING_SNAKE_CASE							) + 1							)]
          lowerCamelCase_						:   List[str]		= get_aligned_output_features_output_indices(
              out_features=_SCREAMING_SNAKE_CASE		,				out_indices=_SCREAMING_SNAKE_CASE		,				stage_names=self.stage_names							)










"""simple docstring"""

import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard
def  __snake_case							(	__A      :						str     )     ->       Dict:






				'''simple docstring'''
				assert "mock" in _fsspec_registry
				assert "bz2" in _fsspec_registry
def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				assert "mock" not in _fsspec_registry
				assert "bz2" in _fsspec_registry
def  __snake_case							(	)     ->       Tuple:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     'mock-s3-bucket'
				SCREAMING_SNAKE_CASE						:							Tuple							=     F"""s3://{mock_bucket}"""
				SCREAMING_SNAKE_CASE						:							str							=     extract_path_from_uri(__A     )
				assert dataset_path.startswith('s3://'     ) is False

				SCREAMING_SNAKE_CASE						:							Optional[int]							=     './local/path'
				SCREAMING_SNAKE_CASE						:							str							=     extract_path_from_uri(__A     )
				assert dataset_path == new_dataset_path
def  __snake_case							(	__A      :						Tuple     )     ->       Optional[int]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     is_remote_filesystem(__A     )
				assert is_remote is True

				SCREAMING_SNAKE_CASE						:							Dict							=     fsspec.filesystem('file'     )

				SCREAMING_SNAKE_CASE						:							Dict							=     is_remote_filesystem(__A     )
				assert is_remote is False
@pytest.mark.parametrize('compression_fs_class'							,		__A     )
def  __snake_case							(	__A      :						Any							,		__A      :						Optional[int]							,		__A      :						List[Any]							,		__A      :						Optional[Any]							,		__A      :						str							,		__A      :						Tuple							,		__A      :						Dict     )     ->       Tuple:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     {'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
				SCREAMING_SNAKE_CASE						:							List[Any]							=     input_paths[compression_fs_class.protocol]
				if input_path is None:
								SCREAMING_SNAKE_CASE						:							str							=     F"""for '{compression_fs_class.protocol}' compression protocol, """
								if compression_fs_class.protocol == "lz4":
												reason += require_lza.kwargs["reason"]
								elif compression_fs_class.protocol == "zstd":
												reason += require_zstandard.kwargs["reason"]
								pytest.skip(__A     )
				SCREAMING_SNAKE_CASE						:							Any							=     fsspec.filesystem(compression_fs_class.protocol							,		fo=__A     )
				assert isinstance(__A							,		__A     )
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     os.path.basename(__A     )
				SCREAMING_SNAKE_CASE						:							Dict							=     expected_filename[: expected_filename.rindex('.'     )]
				assert fs.glob('*'     ) == [expected_filename]
				with fs.open(__A							,		'r'							,		encoding='utf-8'     ) as f, open(__A							,		encoding='utf-8'     ) as expected_file:
								assert f.read() == expected_file.read()
@pytest.mark.parametrize('protocol'							,		['zip', 'gzip']     )
def  __snake_case							(	__A      :						Any							,		__A      :						int							,		__A      :						Union[str, Any]     )     ->       Union[str, Any]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							List[Any]							=     {'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     compressed_file_paths[protocol]
				SCREAMING_SNAKE_CASE						:							str							=     'dataset.jsonl'
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     F"""{protocol}://{member_file_path}::{compressed_file_path}"""
				SCREAMING_SNAKE_CASE				,						*SCREAMING_SNAKE_CASE						:							Any							=     fsspec.get_fs_token_paths(__A     )
				assert fs.isfile(__A     )
				assert not fs.isfile('non_existing_' + member_file_path     )
@pytest.mark.integration
def  __snake_case							(	__A      :						List[str]							,		__A      :						int							,		__A      :						int							,		__A      :						Optional[int]     )     ->       Union[str, Any]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							List[str]							=     hf_api.dataset_info(__A							,		token=__A     )
				SCREAMING_SNAKE_CASE						:							str							=     HfFileSystem(repo_info=__A							,		token=__A     )
				assert sorted(hffs.glob('*'     )     ) == [".gitattributes", "data"]
				assert hffs.isdir('data'     )
				assert hffs.isfile('.gitattributes'     ) and hffs.isfile('data/text_data.txt'     )
				with open(__A     ) as f:
								assert hffs.open('data/text_data.txt'							,		'r'     ).read() == f.read()







def  __snake_case							(	)     ->       Union[str, Any]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     'bz2'

				# Import module
				import datasets.filesystems

				# Overwrite protocol and reload
				register_implementation(__A							,		__A							,		clobber=__A     )
				with pytest.warns(__A     ) as warning_info:
								importlib.reload(datasets.filesystems     )

				assert len(__A     ) == 1
				assert (
				    str(warning_info[0].message     )
				    == F"""A filesystem protocol was already set for {protocol} and will be overwritten."""
				)





