



import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


A__  :  int       = datasets.utils.logging.get_logger(__name__)



@dataclass
class     __snake_case						(					datasets.BuilderConfig						):
							_a      				=			None





class     __snake_case						(					datasets.ArrowBasedBuilder						):
							_a      				=			ArrowConfig




							def        UpperCAmelCase__      (	self					:	Optional[Any]):
									return datasets.DatasetInfo(features=self.config.features)




							def        UpperCAmelCase__      (	self					:	Union[str, Any]    ,    A_					:	str):






									if not self.config.data_files:
											raise ValueError(F"""At least one data file must be specified, but got data_files={self.config.data_files}""")
									lowerCAmelCase_      :					int     =			dl_manager.download_and_extract(self.config.data_files)
									if isinstance(SCREAMING_SNAKE_CASE_    ,    (str, list, tuple)):
											lowerCAmelCase_      :					Union[str, Any]     =			data_files
											if isinstance(SCREAMING_SNAKE_CASE_    ,    SCREAMING_SNAKE_CASE_):
													lowerCAmelCase_      :					Any     =			[files]
											# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
											lowerCAmelCase_      :					str     =			[dl_manager.iter_files(SCREAMING_SNAKE_CASE_) for file in files]
											return [datasets.SplitGenerator(name=datasets.Split.TRAIN    ,    gen_kwargs={'''files''': files})]
									lowerCAmelCase_      :					Any     =			[]
									for split_name, files in data_files.items():
											if isinstance(SCREAMING_SNAKE_CASE_    ,    SCREAMING_SNAKE_CASE_):
													lowerCAmelCase_      :					Union[str, Any]     =			[files]
											# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
											lowerCAmelCase_      :					Tuple     =			[dl_manager.iter_files(SCREAMING_SNAKE_CASE_) for file in files]
											# Infer features is they are stoed in the arrow schema
											if self.info.features is None:
													for file in itertools.chain.from_iterable(SCREAMING_SNAKE_CASE_):
															with open(SCREAMING_SNAKE_CASE_    ,    '''rb''') as f:
																	lowerCAmelCase_      :					Dict     =			datasets.Features.from_arrow_schema(pa.ipc.open_stream(SCREAMING_SNAKE_CASE_).schema)
															break
											splits.append(datasets.SplitGenerator(name=SCREAMING_SNAKE_CASE_    ,    gen_kwargs={'''files''': files}))
									return splits




							def        UpperCAmelCase__      (	self					:	Union[str, Any]    ,    A_					:	int):






									if self.info.features is not None:
											# more expensive cast to support nested features with keys in a different order
											# allows str <-> int/float or str to Audio for example
											lowerCAmelCase_      :					Union[str, Any]     =			table_cast(SCREAMING_SNAKE_CASE_    ,    self.info.features.arrow_schema)
									return pa_table







							def        UpperCAmelCase__      (	self					:	List[Any]    ,    A_					:	Optional[Any]):






									for file_idx, file in enumerate(itertools.chain.from_iterable(SCREAMING_SNAKE_CASE_)):
											with open(SCREAMING_SNAKE_CASE_    ,    '''rb''') as f:
													try:
															for batch_idx, record_batch in enumerate(pa.ipc.open_stream(SCREAMING_SNAKE_CASE_)):
																	lowerCAmelCase_      :					List[Any]     =			pa.Table.from_batches([record_batch])
																	# Uncomment for debugging (will print the Arrow table size and elements)
																	# logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
																	# logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
																	yield F"""{file_idx}_{batch_idx}""", self._cast_table(SCREAMING_SNAKE_CASE_)
													except ValueError as e:
															logger.error(F"""Failed to read file '{file}' with error {type(SCREAMING_SNAKE_CASE_)}: {e}""")
															raise










def       UpperCamelCase(  __UpperCamelCase							:		list			):
		for i, _ in enumerate(__UpperCamelCase			):
				if (i % 2 == 1) == (nums[i - 1] > nums[i]):
						lowerCAmelCase_ ,  lowerCAmelCase_      :					Union[str, Any]     =			nums[i], nums[i - 1]

		return nums


if __name__ == "__main__":
						print('''Enter the array elements:''')
						A__  :  str       = list(map(int, input().split()))
						print('''The unsorted array is:''')
						print(array)
						print('''Array after Wiggle sort:''')
						print(wiggle_sort(array))





