
import itertools
from dataclasses import dataclass
from typing import List, Optional

import pyarrow as pa
import pyarrow.parquet as pq

import datasets
from datasets.table import table_cast


SCREAMING_SNAKE_CASE__							=				datasets.utils.logging.get_logger(__name__)
@dataclass
class 	A__   (						datasets.BuilderConfig				):
							lowerCAmelCase__		:						int    			=							10000
							lowerCAmelCase__		:						Optional[List[str]]    			=							None
							lowerCAmelCase__		:						Optional[datasets.Features]    			=							None






class 	A__   (						datasets.ArrowBasedBuilder				):
							lowerCAmelCase__		:						str    			=							ParquetConfig





							def 			a__ ( self  :   Tuple				)						->		Union[str, Any]:



											"""simple docstring"""


											return datasets.DatasetInfo(features=self.config.features				)





							def 			a__ ( self  :   List[Any]     , _UpperCAmelCase  :   str				)						->		str:



											"""simple docstring"""


											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}"""				)
											__lowercase								=					dl_manager.download_and_extract(self.config.data_files				)
											if isinstance(__UpperCAmelCase     , (str, list, tuple)				):
															__lowercase								=					data_files
															if isinstance(__UpperCAmelCase     , __UpperCAmelCase				):
																			__lowercase								=					[files]
															# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
															__lowercase								=					[dl_manager.iter_files(__UpperCAmelCase				) for file in files]
															return [datasets.SplitGenerator(name=datasets.Split.TRAIN     , gen_kwargs={'files': files}				)]
											__lowercase								=					[]
											for split_name, files in data_files.items():
															if isinstance(__UpperCAmelCase     , __UpperCAmelCase				):
																			__lowercase								=					[files]
															# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
															__lowercase								=					[dl_manager.iter_files(__UpperCAmelCase				) 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(__UpperCAmelCase				):
																							with open(__UpperCAmelCase     , 'rb'				) as f:
																											__lowercase								=					datasets.Features.from_arrow_schema(pq.read_schema(__UpperCAmelCase				)				)
																							break
															splits.append(datasets.SplitGenerator(name=__UpperCAmelCase     , gen_kwargs={'files': files}				)				)
											return splits





							def 			a__ ( self  :   List[str]     , _UpperCAmelCase  :   pa.Table				)						->		str:



											"""simple docstring"""


											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
															__lowercase								=					table_cast(__UpperCAmelCase     , self.info.features.arrow_schema				)
											return pa_table





							def 			a__ ( self  :   Union[str, Any]     , _UpperCAmelCase  :   int				)						->		int:



											"""simple docstring"""


											__lowercase								=					self.info.features.arrow_schema if self.info.features is not None else None
											if self.info.features is not None and self.config.columns is not None:
															if sorted(field.name for field in schema				) != sorted(self.config.columns				):
																			raise ValueError(
																			    f"""Tried to load parquet data with columns \'{self.config.columns}\' with mismatching features \'{self.info.features}\'"""				)
											for file_idx, file in enumerate(itertools.chain.from_iterable(__UpperCAmelCase				)				):
															with open(__UpperCAmelCase     , 'rb'				) as f:
																			__lowercase								=					pq.ParquetFile(__UpperCAmelCase				)
																			try:
																							for batch_idx, record_batch in enumerate(
																							    parquet_file.iter_batches(batch_size=self.config.batch_size     , columns=self.config.columns				)				):
																											__lowercase								=					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(__UpperCAmelCase				)
																			except ValueError as e:
																							logger.error(f"""Failed to read file \'{file}\' with error {type(__UpperCAmelCase				)}: {e}"""				)
																							raise









"""simple docstring"""







import unittest

from knapsack import knapsack as k






class 						_A  (  unittest.TestCase  ):







    """simple docstring"""




    def 	__snake_case							(					self				:    List[Any]):
      a						:		str      							=			0
      a						:		Optional[int]      							=			[0]
      a						:		Union[str, Any]      							=			[0]
      a						:		Any      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 0)

      a						:		List[str]      							=			[60]
      a						:		str      							=			[10]
      a						:		Optional[int]      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 0)






    def 	__snake_case							(					self				:    Optional[int]):
      a						:		Any      							=			3
      a						:		str      							=			[1, 2, 3]
      a						:		Tuple      							=			[3, 2, 1]
      a						:		Any      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 5)






    def 	__snake_case							(					self				:    Tuple):
      a						:		int      							=			50
      a						:		List[Any]      							=			[60, 100, 120]
      a						:		Optional[int]      							=			[10, 20, 30]
      a						:		str      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 220)


if __name__ == "__main__":
 unittest.main()






