'''simple docstring'''

import multiprocessing
import os
from typing import BinaryIO, Optional, Union

import fsspec

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.json.json import Json
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader



class 			UpperCAmelCase  (						a__					):





       '''simple docstring'''



       def __init__(						self	,   __lowerCAmelCase	,   __lowerCAmelCase = None	,   __lowerCAmelCase = None	,   __lowerCAmelCase = None	,   __lowerCAmelCase = False	,   __lowerCAmelCase = False	,   __lowerCAmelCase = None	,   __lowerCAmelCase = None	,   **__lowerCAmelCase	,   )  ->  List[str]:
        super().__init__(
            __lowerCAmelCase	,   split=__lowerCAmelCase	,   features=__lowerCAmelCase	,   cache_dir=__lowerCAmelCase	,   keep_in_memory=__lowerCAmelCase	,   streaming=__lowerCAmelCase	,   num_proc=__lowerCAmelCase	,   **__lowerCAmelCase	,   )
        lowercase__				:    List[Any]  =					field
        lowercase__				:    Tuple  =					path_or_paths if isinstance(__lowerCAmelCase	,   __lowerCAmelCase ) else {self.split: path_or_paths}
        lowercase__				:    List[Any]  =					Json(
            cache_dir=__lowerCAmelCase	,   data_files=__lowerCAmelCase	,   features=__lowerCAmelCase	,   field=__lowerCAmelCase	,   **__lowerCAmelCase	,   )


       def _lowerCAmelCase(						self )  ->  List[str]:
        # Build iterable dataset
        if self.streaming:
         lowercase__				:    Union[str, Any]  =					self.builder.as_streaming_dataset(split=self.split )
        # Build regular (map-style) dataset
        else:
         lowercase__				:    str  =					None
         lowercase__				:    Optional[int]  =					None
         lowercase__				:    List[str]  =					None
         lowercase__				:    List[str]  =					None

         self.builder.download_and_prepare(
             download_config=__lowerCAmelCase	,   download_mode=__lowerCAmelCase	,   verification_mode=__lowerCAmelCase	,   base_path=__lowerCAmelCase	,   num_proc=self.num_proc	,   )
         lowercase__				:    Optional[int]  =					self.builder.as_dataset(
             split=self.split	,   verification_mode=__lowerCAmelCase	,   in_memory=self.keep_in_memory )
        return dataset



class 			UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase = None	,   __lowerCAmelCase = None	,   **__lowerCAmelCase	,   )  ->  Dict:
        if num_proc is not None and num_proc <= 0:
         raise ValueError(F"""num_proc {num_proc} must be an integer > 0.""" )

        lowercase__				:    List[str]  =					dataset
        lowercase__				:    Optional[Any]  =					path_or_buf
        lowercase__				:    int  =					batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
        lowercase__				:    Optional[Any]  =					num_proc
        lowercase__				:    Optional[int]  =					'''utf-8'''
        lowercase__				:    List[str]  =					to_json_kwargs

       def _lowerCAmelCase(						self )  ->  int:
        lowercase__				:    Optional[Any]  =					self.to_json_kwargs.pop('''path_or_buf'''	,   __lowerCAmelCase )
        lowercase__				:    Optional[Any]  =					self.to_json_kwargs.pop('''orient'''	,   '''records''' )
        lowercase__				:    Union[str, Any]  =					self.to_json_kwargs.pop('''lines'''	,   True if orient == '''records''' else False )
        lowercase__				:    Any  =					self.to_json_kwargs.pop('''index'''	,   False if orient in ['''split''', '''table'''] else True )
        lowercase__				:    str  =					self.to_json_kwargs.pop('''compression'''	,   __lowerCAmelCase )

        if compression not in [None, "infer", "gzip", "bz2", "xz"]:
         raise NotImplementedError(F"""`datasets` currently does not support {compression} compression""" )

        if isinstance(self.path_or_buf	,   (str, bytes, os.PathLike) ):
         with fsspec.open(self.path_or_buf	,   '''wb'''	,   compression=__lowerCAmelCase ) as buffer:
          lowercase__				:    Optional[Any]  =					self._write(file_obj=__lowerCAmelCase	,   orient=__lowerCAmelCase	,   lines=__lowerCAmelCase	,   index=__lowerCAmelCase	,   **self.to_json_kwargs )
        else:
         if compression:
          raise NotImplementedError(
              F"""The compression parameter is not supported when writing to a buffer, but compression={compression}"""
              ''' was passed. Please provide a local path instead.''' )
         lowercase__				:    Union[str, Any]  =					self._write(
             file_obj=self.path_or_buf	,   orient=__lowerCAmelCase	,   lines=__lowerCAmelCase	,   index=__lowerCAmelCase	,   **self.to_json_kwargs )
        return written

       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  Any:
        lowercase__ ,							lowercase__ ,							lowercase__ ,							lowercase__ ,							lowercase__				:    List[Any]  =					args

        lowercase__				:    str  =					query_table(
            table=self.dataset.data	,   key=slice(__lowerCAmelCase	,   offset + self.batch_size )	,   indices=self.dataset._indices	,   )
        lowercase__				:    Optional[int]  =					batch.to_pandas().to_json(
            path_or_buf=__lowerCAmelCase	,   orient=__lowerCAmelCase	,   lines=__lowerCAmelCase	,   index=__lowerCAmelCase	,   **__lowerCAmelCase )
        if not json_str.endswith('''\n''' ):
         json_str += "\n"
        return json_str.encode(self.encoding )


       def _lowerCAmelCase(						self	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   **__lowerCAmelCase	,   )  ->  int:
        lowercase__				:    Optional[Any]  =					0

        if self.num_proc is None or self.num_proc == 1:
         for offset in logging.tqdm(
             range(0	,   len(self.dataset )	,   self.batch_size )	,   unit='''ba'''	,   disable=not logging.is_progress_bar_enabled()	,   desc='''Creating json from Arrow format'''	,   ):
          lowercase__				:    List[Any]  =					self._batch_json((offset, orient, lines, index, to_json_kwargs) )
          written += file_obj.write(__lowerCAmelCase )
        else:
         lowercase__ ,							lowercase__				:    Tuple  =					len(self.dataset ), self.batch_size
         with multiprocessing.Pool(self.num_proc ) as pool:
          for json_str in logging.tqdm(
              pool.imap(
                  self._batch_json	,   [(offset, orient, lines, index, to_json_kwargs) for offset in range(0	,   __lowerCAmelCase	,   __lowerCAmelCase )]	,   )	,   total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size	,   unit='''ba'''	,   disable=not logging.is_progress_bar_enabled()	,   desc='''Creating json from Arrow format'''	,   ):
           written += file_obj.write(__lowerCAmelCase )

        return written


'''simple docstring'''

import unittest

from knapsack import knapsack as k



class 			UpperCAmelCase  (						unittest.TestCase					):





       '''simple docstring'''



       def _lowerCAmelCase(						self )  ->  Tuple:
        lowercase__				:    Optional[Any]  =					0
        lowercase__				:    Any  =					[0]
        lowercase__				:    List[Any]  =					[0]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

        lowercase__				:    List[str]  =					[60]
        lowercase__				:    List[str]  =					[10]
        lowercase__				:    List[str]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   0 )

       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    Optional[Any]  =					3
        lowercase__				:    List[Any]  =					[1, 2, 3]
        lowercase__				:    Union[str, Any]  =					[3, 2, 1]
        lowercase__				:    List[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   5 )


       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    int  =					50
        lowercase__				:    Any  =					[60, 100, 120]
        lowercase__				:    int  =					[10, 20, 30]
        lowercase__				:    Optional[Any]  =					len(__lowerCAmelCase )
        self.assertEqual(k.knapsack(__lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase	,   __lowerCAmelCase )	,   220 )


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

