





"""simple docstring"""




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


UpperCamelCase_									=datasets.utils.logging.get_logger(__name__)

UpperCamelCase_									=["""names""", """prefix"""]
UpperCamelCase_									=["""warn_bad_lines""", """error_bad_lines""", """mangle_dupe_cols"""]
UpperCamelCase_									=["""encoding_errors""", """on_bad_lines"""]
UpperCamelCase_									=["""date_format"""]




@dataclass
class 			_a						(				datasets.BuilderConfig    ):
				UpperCamelCase								=   ","
				UpperCamelCase								=   None
				UpperCamelCase								=   "infer"
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   True
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   False
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   True
				UpperCamelCase								=   True
				UpperCamelCase								=   False
				UpperCamelCase								=   True
				UpperCamelCase								=   None
				UpperCamelCase								=   "."
				UpperCamelCase								=   None
				UpperCamelCase								=   '"'
				UpperCamelCase								=   0
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   None
				UpperCamelCase								=   True
				UpperCamelCase								=   True
				UpperCamelCase								=   0
				UpperCamelCase								=   True
				UpperCamelCase								=   False
				UpperCamelCase								=   None
				UpperCamelCase								=   1_0000
				UpperCamelCase								=   None
				UpperCamelCase								=   "strict"
				UpperCamelCase								=   "error"
				UpperCamelCase								=   None






				def     snake_case     (			self		:   Union[str, Any]							)     ->				List[str]:




										'''simple docstring'''



										if self.delimiter is not None:
																_UpperCamelCase      : List[Any]         =   self.delimiter
										if self.column_names is not None:
																_UpperCamelCase      : int         =   self.column_names






				@property
				def     snake_case     (			self		:   str							)     ->				Optional[Any]:




										'''simple docstring'''



										_UpperCamelCase      : List[Any]         =   {
										    '''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 			_a						(				datasets.ArrowBasedBuilder    ):
				UpperCamelCase								=   CsvConfig






				def     snake_case     (			self		:   List[Any]							)     ->				Tuple:




										'''simple docstring'''



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






				def     snake_case     (			self		:   List[Any],			lowerCAmelCase__		:   List[str]							)     ->				Optional[int]:




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






				def     snake_case     (			self		:   Union[str, Any],			lowerCAmelCase__		:   pa.Table							)     ->				pa.Table:




										'''simple docstring'''



										if self.config.features is not None:
																_UpperCamelCase      : Tuple         =   self.config.features.arrow_schema
																if all(not require_storage_cast(lowerCAmelCase__							) for feature in self.config.features.values()							):
																						# cheaper cast
																						_UpperCamelCase      : Optional[int]         =   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
																						_UpperCamelCase      : Any         =   table_cast(lowerCAmelCase__,			lowerCAmelCase__							)
										return pa_table






				def     snake_case     (			self		:   Optional[int],			lowerCAmelCase__		:   Optional[int]							)     ->				Optional[Any]:




										'''simple docstring'''



										_UpperCamelCase      : Optional[int]         =   self.config.features.arrow_schema if self.config.features else None
										# dtype allows reading an int column as str
										_UpperCamelCase      : str         =   (
										    {
										        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__							)							):
																_UpperCamelCase      : Optional[Any]         =   pd.read_csv(lowerCAmelCase__,			iterator=lowerCAmelCase__,			dtype=lowerCAmelCase__,			**self.config.pd_read_csv_kwargs							)
																try:
																						for batch_idx, df in enumerate(lowerCAmelCase__							):
																												_UpperCamelCase      : Any         =   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










"""simple docstring"""




def 	a_    (							_lowercase	,						_lowercase       ):
						if discount_rate < 0:
												raise ValueError('''Discount rate cannot be negative'''       )
						if not cash_flows:
												raise ValueError('''Cash flows list cannot be empty'''       )
						_UpperCamelCase      : Optional[int]         =   sum(
						    cash_flow / ((1 + discount_rate) ** i) for i, cash_flow in enumerate(_lowercase       )       )
						return round(_lowercase	,						ndigits=2       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()



