




'''simple docstring'''





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


__UpperCAmelCase       =		logging.get_logger(__name__)
class 		SCREAMING_SNAKE_CASE			(     __a    ,      __a							):




				'''simple docstring'''





				__UpperCamelCase     				=   """maskformer-swin"""

				__UpperCamelCase     				=   {
				    """num_attention_heads""": """num_heads""",
				    """num_hidden_layers""": """num_layers""",
				}







				def __init__(   self  ,						SCREAMING_SNAKE_CASE__=2_24  ,						SCREAMING_SNAKE_CASE__=4  ,						SCREAMING_SNAKE_CASE__=3  ,						SCREAMING_SNAKE_CASE__=96  ,						SCREAMING_SNAKE_CASE__=[2, 2, 6, 2]  ,						SCREAMING_SNAKE_CASE__=[3, 6, 12, 24]  ,						SCREAMING_SNAKE_CASE__=7  ,						SCREAMING_SNAKE_CASE__=4.0  ,						SCREAMING_SNAKE_CASE__=True  ,						SCREAMING_SNAKE_CASE__=0.0  ,						SCREAMING_SNAKE_CASE__=0.0  ,						SCREAMING_SNAKE_CASE__=0.1  ,						SCREAMING_SNAKE_CASE__="gelu"  ,						SCREAMING_SNAKE_CASE__=False  ,						SCREAMING_SNAKE_CASE__=0.02  ,						SCREAMING_SNAKE_CASE__=1E-5  ,						SCREAMING_SNAKE_CASE__=None  ,						SCREAMING_SNAKE_CASE__=None  ,						**SCREAMING_SNAKE_CASE__  ,						):
							'''simple docstring'''







							super().__init__(**_lowerCamelCase				)

							snake_case:       Tuple        =       image_size
							snake_case:       Any        =       patch_size
							snake_case:       Union[str, Any]        =       num_channels
							snake_case:       Any        =       embed_dim
							snake_case:       List[Any]        =       depths
							snake_case:       Optional[Any]        =       len(_lowerCamelCase				)
							snake_case:       Dict        =       num_heads
							snake_case:       str        =       window_size
							snake_case:       str        =       mlp_ratio
							snake_case:       Optional[int]        =       qkv_bias
							snake_case:       Tuple        =       hidden_dropout_prob
							snake_case:       Optional[int]        =       attention_probs_dropout_prob
							snake_case:       Optional[Any]        =       drop_path_rate
							snake_case:       Optional[Any]        =       hidden_act
							snake_case:       Any        =       use_absolute_embeddings
							snake_case:       List[Any]        =       layer_norm_eps
							snake_case:       Optional[int]        =       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
							snake_case:       str        =       int(embed_dim * 2 ** (len(_lowerCamelCase				) - 1)				)
							snake_case:       Dict        =       ['stem'] + [F"""stage{idx}""" for idx in range(1  ,						len(_lowerCamelCase				) + 1				)]
							snake_case    ,						snake_case:       Optional[Any]        =       get_aligned_output_features_output_indices(
							    out_features=_lowerCamelCase  ,						out_indices=_lowerCamelCase  ,						stage_names=self.stage_names				)

"""simple docstring"""






import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


_lowercase							=				get_logger(__name__)

class 					__a     ( enum.Enum       ):



							'''simple docstring'''







							_lowerCamelCase					:			Tuple          =   """all_checks"""
							_lowerCamelCase					:			Optional[int]          =   """basic_checks"""
							_lowerCamelCase					:			str          =   """no_checks"""





class 					__a     ( __a       ):



							'''simple docstring'''












class 					__a     ( __a       ):



							'''simple docstring'''












class 					__a     ( __a       ):



							'''simple docstring'''












class 					__a     ( __a       ):



							'''simple docstring'''












def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__			,   __magic_name__=None      )						->Union[str, Any]:
			if expected_checksums is None:
						logger.info("Unable to verify checksums."      )
						return
			if len(set(__magic_name__      ) - set(__magic_name__      )      ) > 0:
						raise ExpectedMoreDownloadedFiles(str(set(__magic_name__      ) - set(__magic_name__      )      )      )
			if len(set(__magic_name__      ) - set(__magic_name__      )      ) > 0:
						raise UnexpectedDownloadedFile(str(set(__magic_name__      ) - set(__magic_name__      )      )      )
			__lowercase       =       [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
			__lowercase       =       " for " + verification_name if verification_name is not None else ""
			if len(__magic_name__      ) > 0:
						raise NonMatchingChecksumError(
						    F'''Checksums didn\'t match{for_verification_name}:\n'''
						    F'''{bad_urls}\n'''
						    "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"      )
			logger.info("All the checksums matched successfully" + for_verification_name      )

class 					__a     ( __a       ):



							'''simple docstring'''












class 					__a     ( __a       ):



							'''simple docstring'''












class 					__a     ( __a       ):



							'''simple docstring'''












class 					__a     ( __a       ):



							'''simple docstring'''












def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__      )						->Any:
			if expected_splits is None:
						logger.info("Unable to verify splits sizes."      )
						return
			if len(set(__magic_name__      ) - set(__magic_name__      )      ) > 0:
						raise ExpectedMoreSplits(str(set(__magic_name__      ) - set(__magic_name__      )      )      )
			if len(set(__magic_name__      ) - set(__magic_name__      )      ) > 0:
						raise UnexpectedSplits(str(set(__magic_name__      ) - set(__magic_name__      )      )      )
			__lowercase       =       [
			    {"expected": expected_splits[name], "recorded": recorded_splits[name]}
			    for name in expected_splits
			    if expected_splits[name].num_examples != recorded_splits[name].num_examples
			]
			if len(__magic_name__      ) > 0:
						raise NonMatchingSplitsSizesError(str(__magic_name__      )      )
			logger.info("All the splits matched successfully."      )



def      lowerCAmelCase__			(		__magic_name__			,   __magic_name__ = True      )						->dict:
			if record_checksum:
						__lowercase       =       shaaaa()
						with open(__magic_name__			,   "rb"      ) as f:
									for chunk in iter(lambda: f.read(1 << 2_0      )			,   b""      ):
												m.update(__magic_name__      )
									__lowercase       =       m.hexdigest()
			else:
						__lowercase       =       None
			return {"num_bytes": os.path.getsize(__magic_name__      ), "checksum": checksum}







def      lowerCAmelCase__			(		__magic_name__      )						->List[str]:
			if dataset_size and config.IN_MEMORY_MAX_SIZE:
						return dataset_size < config.IN_MEMORY_MAX_SIZE
			else:
						return False





