

'''simple docstring'''





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_    						=       logging.get_logger(__name__)


UpperCamelCase_    						=       TypeVar("""DatasetType""", Dataset, IterableDataset)






def 				_lowerCAmelCase			(   __magic_name__						:     List[DatasetType]   , __magic_name__						:     Optional[List[float]] = None   , __magic_name__						:     Optional[int] = None   , __magic_name__						:     Optional[DatasetInfo] = None   , __magic_name__						:     Optional[NamedSplit] = None   , __magic_name__						:     Literal["first_exhausted", "all_exhausted"] = "first_exhausted"   , )				->  DatasetType:
						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(__magic_name__						):
												if not isinstance(__magic_name__   , (Dataset, IterableDataset)						):
																		if isinstance(__magic_name__   , (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(__magic_name__						)}\n'''
																								    f'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(__magic_name__						)						)}\']'''						)
																		raise ValueError(
																		    f'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(__magic_name__						).__name__}.'''						)
												if i == 0:
																		lowercase		,	lowercase :							str    		=(
																		    (Dataset, IterableDataset) if isinstance(__magic_name__   , __magic_name__						) else (IterableDataset, Dataset)
																		)
												elif not isinstance(__magic_name__   , __magic_name__						):
																		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(
												    __magic_name__   , __magic_name__   , __magic_name__   , info=__magic_name__   , split=__magic_name__   , stopping_strategy=__magic_name__						)
						else:
												return _interleave_iterable_datasets(
												    __magic_name__   , __magic_name__   , __magic_name__   , info=__magic_name__   , split=__magic_name__   , stopping_strategy=__magic_name__						)







def 				_lowerCAmelCase			(   __magic_name__						:     List[DatasetType]   , __magic_name__						:     Optional[DatasetInfo] = None   , __magic_name__						:     Optional[NamedSplit] = None   , __magic_name__						:     int = 0   , )				->  DatasetType:

						if not dsets:
												raise ValueError('''Unable to concatenate an empty list of datasets.'''						)
						for i, dataset in enumerate(__magic_name__						):
												if not isinstance(__magic_name__   , (Dataset, IterableDataset)						):
																		if isinstance(__magic_name__   , (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(__magic_name__						)}\n'''
																								    f'''Please pick one to interleave with the other datasets, for example: dataset[\'{next(iter(__magic_name__						)						)}\']'''						)
																		raise ValueError(
																		    f'''Expected a list of Dataset objects or a list of IterableDataset objects, but element at position {i} is a {type(__magic_name__						).__name__}.'''						)
												if i == 0:
																		lowercase		,	lowercase :							Optional[int]    		=(
																		    (Dataset, IterableDataset) if isinstance(__magic_name__   , __magic_name__						) else (IterableDataset, Dataset)
																		)
												elif not isinstance(__magic_name__   , __magic_name__						):
																		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(__magic_name__   , info=__magic_name__   , split=__magic_name__   , axis=__magic_name__						)
						else:
												return _concatenate_iterable_datasets(__magic_name__   , info=__magic_name__   , split=__magic_name__   , axis=__magic_name__						)








'''simple docstring'''





import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey





class 		__SCREAMING_SNAKE_CASE							:







				def __init__(       self     :		Union[str, Any]		,					UpperCAmelCase__     :		Union[str, Any]		,					UpperCAmelCase__     :		int		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										if dst_width < 0 or dst_height < 0:
																raise ValueError('''Destination width/height should be > 0'''   )

										lowercase :							Union[str, Any]    		=img
										lowercase :							Union[str, Any]    		=img.shape[1]
										lowercase :							str    		=img.shape[0]
										lowercase :							Union[str, Any]    		=dst_width
										lowercase :							str    		=dst_height

										lowercase :							str    		=self.src_w / self.dst_w
										lowercase :							Optional[Any]    		=self.src_h / self.dst_h

										lowercase :							int    		=(
										    np.ones((self.dst_h, self.dst_w, 3)		,					np.uinta   ) * 255
										)







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										for i in range(self.dst_h   ):
																for j in range(self.dst_w   ):
																						lowercase :							List[Any]    		=self.img[self.get_y(UpperCAmelCase__   )][self.get_x(UpperCAmelCase__   )]







				def  lowerCamelCase_	(       self     :		Tuple		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return int(self.ratio_x * x   )







				def  lowerCamelCase_	(       self     :		List[Any]		,					UpperCAmelCase__     :		int   ):
										'''simple docstring'''
										return int(self.ratio_y * y   )


if __name__ == "__main__":
							UpperCamelCase_						,   UpperCamelCase_    						=       800, 600
							UpperCamelCase_    						=       imread("""image_data/lena.jpg""", 1)
							UpperCamelCase_    						=       NearestNeighbour(im, dst_w, dst_h)
							n.process()

							imshow(
							    f'''Image resized from: {im.shape[1]}x{im.shape[0]} to {dst_w}x{dst_h}''', n.output
							)
							waitKey(0)
							destroyAllWindows()





