

from typing import List, Optional, TypeVar

from .arrow_dataset import Dataset, _concatenate_map_style_datasets, _interleave_map_style_datasets
from .dataset_dict import DatasetDict, IterableDatasetDict
from .info import DatasetInfo
from .iterable_dataset import IterableDataset, _concatenate_iterable_datasets, _interleave_iterable_datasets
from .splits import NamedSplit
from .utils import logging
from .utils.py_utils import Literal


_UpperCAmelCase						:  Optional[Any]									=			logging.get_logger(__name__)


_UpperCAmelCase						:  Union[str, Any]									=			TypeVar("""DatasetType""", Dataset, IterableDataset)





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ = None  ,				UpperCamelCase__ = None  ,				UpperCamelCase__ = None  ,				UpperCamelCase__ = None  ,				UpperCamelCase__ = "first_exhausted"  ,				):







							'''simple docstring'''






							from .arrow_dataset import Dataset
							from .iterable_dataset import IterableDataset

							if not datasets:
														raise ValueError('Unable to interleave an empty list of datasets.' )
							for i, dataset in enumerate(UpperCamelCase__ ):
														if not isinstance(UpperCamelCase__  ,				(Dataset, IterableDataset) ):
																					if isinstance(UpperCamelCase__  ,				(DatasetDict, IterableDatasetDict) ):
																												if not dataset:
																																			raise ValueError(
																																			    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '''
																																			    'is an empty dataset dictionary.' )
																												raise ValueError(
																												    F'''Dataset at position {i} has at least one split: {list(UpperCamelCase__ )}\n'''
																												    F'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(UpperCamelCase__ ) )}\']''' )
																					raise ValueError(
																					    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(UpperCamelCase__ ).__name__}.''' )
														if i == 0:
																					snake_case_							,       snake_case_     							=       (
																					    (Dataset, IterableDataset) if isinstance(UpperCamelCase__  ,				UpperCamelCase__ ) else (IterableDataset, Dataset)
																					)
														elif not isinstance(UpperCamelCase__  ,				UpperCamelCase__ ):
																					raise ValueError(
																					    F'''Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.''' )
							if stopping_strategy not in ["first_exhausted", "all_exhausted"]:
														raise ValueError(F'''{stopping_strategy} is not supported. Please enter a valid stopping_strategy.''' )
							if dataset_type is Dataset:
														return _interleave_map_style_datasets(
														    UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				info=UpperCamelCase__  ,				split=UpperCamelCase__  ,				stopping_strategy=UpperCamelCase__ )
							else:
														return _interleave_iterable_datasets(
														    UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__  ,				info=UpperCamelCase__  ,				split=UpperCamelCase__  ,				stopping_strategy=UpperCamelCase__ )





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__ = None  ,				UpperCamelCase__ = None  ,				UpperCamelCase__ = 0  ,				):







							'''simple docstring'''






							if not dsets:
														raise ValueError('Unable to concatenate an empty list of datasets.' )
							for i, dataset in enumerate(UpperCamelCase__ ):
														if not isinstance(UpperCamelCase__  ,				(Dataset, IterableDataset) ):
																					if isinstance(UpperCamelCase__  ,				(DatasetDict, IterableDatasetDict) ):
																												if not dataset:
																																			raise ValueError(
																																			    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} '''
																																			    'is an empty dataset dictionary.' )
																												raise ValueError(
																												    F'''Dataset at position {i} has at least one split: {list(UpperCamelCase__ )}\n'''
																												    F'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(UpperCamelCase__ ) )}\']''' )
																					raise ValueError(
																					    F'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(UpperCamelCase__ ).__name__}.''' )
														if i == 0:
																					snake_case_							,       snake_case_     							=       (
																					    (Dataset, IterableDataset) if isinstance(UpperCamelCase__  ,				UpperCamelCase__ ) else (IterableDataset, Dataset)
																					)
														elif not isinstance(UpperCamelCase__  ,				UpperCamelCase__ ):
																					raise ValueError(
																					    F'''Unable to interleave a {dataset_type.__name__} (at position 0) with a {other_type.__name__} (at position {i}). Expected a list of Dataset objects or a list of IterableDataset objects.''' )
							if dataset_type is Dataset:
														return _concatenate_map_style_datasets(UpperCamelCase__  ,				info=UpperCamelCase__  ,				split=UpperCamelCase__  ,				axis=UpperCamelCase__ )
							else:
														return _concatenate_iterable_datasets(UpperCamelCase__  ,				info=UpperCamelCase__  ,				split=UpperCamelCase__  ,				axis=UpperCamelCase__ )







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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_UpperCAmelCase						:  Union[str, Any]									=			logging.get_logger(__name__)

_UpperCAmelCase						:  Dict									=			{
    """microsoft/resnet-50""": """https://huggingface.co/microsoft/resnet-50/blob/main/config.json""",
}







class 					lowercase							(			lowercase_      ,    lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					List[str]			     =     '''resnet'''
				__SCREAMING_SNAKE_CASE   :					Dict			     =     ['''basic''', '''bottleneck''']




				def __init__(   self ,  snake_case=3 ,  snake_case=64 ,  snake_case=[256, 512, 1024, 2048] ,  snake_case=[3, 4, 6, 3] ,  snake_case="bottleneck" ,  snake_case="relu" ,  snake_case=False ,  snake_case=None ,  snake_case=None ,  **snake_case ,  ):
											super().__init__(**snake_case			)
											if layer_type not in self.layer_types:
																		raise ValueError(F'''layer_type={layer_type} is not one of {",".join(self.layer_types			)}'''			)
											snake_case_     							=       num_channels
											snake_case_     							=       embedding_size
											snake_case_     							=       hidden_sizes
											snake_case_     							=       depths
											snake_case_     							=       layer_type
											snake_case_     							=       hidden_act
											snake_case_     							=       downsample_in_first_stage
											snake_case_     							=       ['stem'] + [F'''stage{idx}''' for idx in range(1 ,  len(snake_case			) + 1			)]
											snake_case_							,       snake_case_     							=       get_aligned_output_features_output_indices(
											    out_features=snake_case ,  out_indices=snake_case ,  stage_names=self.stage_names			)







class 					lowercase							(			lowercase_     ):
				__SCREAMING_SNAKE_CASE   :					List[Any]			     =     version.parse('''1.11'''     )




				@property
				def        a				(   self			):
											return OrderedDict(
											    [
											        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
											    ]			)




				@property
				def        a				(   self			):
											return 1e-3




