




import itertools
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union

import pandas as pd
import pyarrow as pa

import datasets
import datasets.config
from datasets.features.features import require_storage_cast
from datasets.table import table_cast
from datasets.utils.py_utils import Literal


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

lowerCamelCase__					:  str      							=				['names', 'prefix']
lowerCamelCase__					:  List[Any]      							=				['warn_bad_lines', 'error_bad_lines', 'mangle_dupe_cols']
lowerCamelCase__					:  Optional[int]      							=				['encoding_errors', 'on_bad_lines']
lowerCamelCase__					:  str      							=				['date_format']





@dataclass
class 			lowerCamelCase_				( datasets.BuilderConfig   ):


 '''simple docstring'''







 lowercase_							       =       ","
 lowercase_							       =       None
 lowercase_							       =       "infer"
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       True
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       False
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       True
 lowercase_							       =       True
 lowercase_							       =       False
 lowercase_							       =       True
 lowercase_							       =       None
 lowercase_							       =       "."
 lowercase_							       =       None
 lowercase_							       =       '"'
 lowercase_							       =       0
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       None
 lowercase_							       =       True
 lowercase_							       =       True
 lowercase_							       =       0
 lowercase_							       =       True
 lowercase_							       =       False
 lowercase_							       =       None
 lowercase_							       =       10_000
 lowercase_							       =       None
 lowercase_							       =       "strict"
 lowercase_							       =       "error"
 lowercase_							       =       None



 def  lowerCAmelCase_    (				self    :						Any		):
       if self.delimiter is not None:
             SCREAMING_SNAKE_CASE_      		=     self.delimiter
       if self.column_names is not None:
             SCREAMING_SNAKE_CASE_      		=     self.column_names




 @property
 def  lowerCAmelCase_    (				self    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     {
           'sep': self.sep,
           'header': self.header,
           'names': self.names,
           'index_col': self.index_col,
           'usecols': self.usecols,
           'prefix': self.prefix,
           'mangle_dupe_cols': self.mangle_dupe_cols,
           'engine': self.engine,
           'converters': self.converters,
           'true_values': self.true_values,
           'false_values': self.false_values,
           'skipinitialspace': self.skipinitialspace,
           'skiprows': self.skiprows,
           'nrows': self.nrows,
           'na_values': self.na_values,
           'keep_default_na': self.keep_default_na,
           'na_filter': self.na_filter,
           'verbose': self.verbose,
           'skip_blank_lines': self.skip_blank_lines,
           'thousands': self.thousands,
           'decimal': self.decimal,
           'lineterminator': self.lineterminator,
           'quotechar': self.quotechar,
           'quoting': self.quoting,
           'escapechar': self.escapechar,
           'comment': self.comment,
           'encoding': self.encoding,
           'dialect': self.dialect,
           'error_bad_lines': self.error_bad_lines,
           'warn_bad_lines': self.warn_bad_lines,
           'skipfooter': self.skipfooter,
           'doublequote': self.doublequote,
           'memory_map': self.memory_map,
           'float_precision': self.float_precision,
           'chunksize': self.chunksize,
           'encoding_errors': self.encoding_errors,
           'on_bad_lines': self.on_bad_lines,
           'date_format': self.date_format,
       }

       # some kwargs must not be passed if they don't have a default value
       # some others are deprecated and we can also not pass them if they are the default value
       for pd_read_csv_parameter in _PANDAS_READ_CSV_NO_DEFAULT_PARAMETERS + _PANDAS_READ_CSV_DEPRECATED_PARAMETERS:
             if pd_read_csv_kwargs[pd_read_csv_parameter] == getattr(CsvConfig()							,							_lowerCAmelCase		):
                   del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 2.0 new arguments
       if not (datasets.config.PANDAS_VERSION.major >= 2):
             for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_2_0_0_PARAMETERS:
                   del pd_read_csv_kwargs[pd_read_csv_parameter]

        # Remove 1.3 new arguments
       if not (datasets.config.PANDAS_VERSION.major >= 1 and datasets.config.PANDAS_VERSION.minor >= 3):
             for pd_read_csv_parameter in _PANDAS_READ_CSV_NEW_1_3_0_PARAMETERS:
                   del pd_read_csv_kwargs[pd_read_csv_parameter]

       return pd_read_csv_kwargs





class 			lowerCamelCase_				( datasets.ArrowBasedBuilder   ):


 '''simple docstring'''







 lowercase_							       =       CsvConfig



 def  lowerCAmelCase_    (				self    :						Tuple		):
       return datasets.DatasetInfo(features=self.config.features		)



 def  lowerCAmelCase_    (				self    :						str							,							_lowerCAmelCase    :						Optional[int]		):
       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}"		)
       SCREAMING_SNAKE_CASE_      		=     dl_manager.download_and_extract(self.config.data_files		)
       if isinstance(_lowerCAmelCase							,							(str, list, tuple)		):
             SCREAMING_SNAKE_CASE_      		=     data_files
             if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		):
                   SCREAMING_SNAKE_CASE_      		=     [files]
             SCREAMING_SNAKE_CASE_      		=     [dl_manager.iter_files(_lowerCAmelCase		) for file in files]
             return [datasets.SplitGenerator(name=datasets.Split.TRAIN							,							gen_kwargs={'files': files}		)]
       SCREAMING_SNAKE_CASE_      		=     []
       for split_name, files in data_files.items():
             if isinstance(_lowerCAmelCase							,							_lowerCAmelCase		):
                   SCREAMING_SNAKE_CASE_      		=     [files]
             SCREAMING_SNAKE_CASE_      		=     [dl_manager.iter_files(_lowerCAmelCase		) for file in files]
             splits.append(datasets.SplitGenerator(name=_lowerCAmelCase							,							gen_kwargs={'files': files}		)		)
       return splits



 def  lowerCAmelCase_    (				self    :						List[Any]							,							_lowerCAmelCase    :						pa.Table		):
       if self.config.features is not None:
             SCREAMING_SNAKE_CASE_      		=     self.config.features.arrow_schema
             if all(not require_storage_cast(_lowerCAmelCase		) for feature in self.config.features.values()		):
                   # cheaper cast
                   SCREAMING_SNAKE_CASE_      		=     pa.Table.from_arrays([pa_table[field.name] for field in schema]							,							schema=_lowerCAmelCase		)
             else:
                   # more expensive cast; allows str <-> int/float or str to Audio for example
                   SCREAMING_SNAKE_CASE_      		=     table_cast(_lowerCAmelCase							,							_lowerCAmelCase		)
       return pa_table




 def  lowerCAmelCase_    (				self    :						List[str]							,							_lowerCAmelCase    :						Optional[Any]		):
       SCREAMING_SNAKE_CASE_      		=     self.config.features.arrow_schema if self.config.features else None
       # dtype allows reading an int column as str
       SCREAMING_SNAKE_CASE_      		=     (
           {
               name: dtype.to_pandas_dtype() if not require_storage_cast(_lowerCAmelCase		) else object
               for name, dtype, feature in zip(schema.names							,							schema.types							,							self.config.features.values()		)
           }
           if schema is not None
           else None
       )
       for file_idx, file in enumerate(itertools.chain.from_iterable(_lowerCAmelCase		)		):
             SCREAMING_SNAKE_CASE_      		=     pd.read_csv(_lowerCAmelCase							,							iterator=_lowerCAmelCase							,							dtype=_lowerCAmelCase							,							**self.config.pd_read_csv_kwargs		)
             try:
                   for batch_idx, df in enumerate(_lowerCAmelCase		):
                         SCREAMING_SNAKE_CASE_      		=     pa.Table.from_pandas(_lowerCAmelCase		)
                         # 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 (file_idx, batch_idx), self._cast_table(_lowerCAmelCase		)
             except ValueError as e:
                   logger.error(F"Failed to read file '{file}' with error {type(_lowerCAmelCase		)}: {e}"		)
                   raise



import unittest

from knapsack import greedy_knapsack as kp




class 							lowerCamelCase   (  unittest.TestCase ):


	def  A(    self):
							__UpperCAmelCase			:							Optional[Any]	    =	[1_0, 2_0, 3_0, 4_0, 5_0, 6_0]
							__UpperCAmelCase			:							str	    =	[2, 4, 6, 8, 1_0, 1_2]
							__UpperCAmelCase			:							List[Any]	    =	1_0_0
							self.assertEqual(kp.calc_profit(lowercase__				,     lowercase__				,     lowercase__)				,     2_1_0)


	def  A(    self):
							self.assertRaisesRegex(lowercase__				,     '''max_weight must greater than zero.''')


	def  A(    self):
							self.assertRaisesRegex(lowercase__				,     '''Weight can not be negative.''')


	def  A(    self):
							self.assertRaisesRegex(lowercase__				,     '''Profit can not be negative.''')


	def  A(    self):
							self.assertRaisesRegex(lowercase__				,     '''max_weight must greater than zero.''')


	def  A(    self):
							self.assertRaisesRegex(
							    lowercase__				,     '''The length of profit and weight must be same.''')


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

