

'''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 	lowerCAmelCase  (   datasets.BuilderConfig ):
       lowerCAmelCase_												=			","
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			"infer"
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			False
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			False
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			"."
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			'"'
       lowerCAmelCase_												=			0
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			0
       lowerCAmelCase_												=			True
       lowerCAmelCase_												=			False
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			1_0_0_0_0
       lowerCAmelCase_												=			None
       lowerCAmelCase_												=			"strict"
       lowerCAmelCase_												=			"error"
       lowerCAmelCase_												=			None







       def       snake_case (				self      :			List[Any]   ):







            """simple docstring"""







            if self.delimiter is not None:
                 __lowercase      		=self.delimiter
            if self.column_names is not None:
                 __lowercase      		=self.column_names







       @property
       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            __lowercase      		={
                '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()    ,   __lowercase   ):
                      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 ):
       lowerCAmelCase_												=			CsvConfig







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







            """simple docstring"""







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







       def       snake_case (				self      :			List[str]    ,   __lowercase      :			Any   ):







            """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(__lowercase    ,   (str, list, tuple)   ):
                 __lowercase      		=data_files
                 if isinstance(__lowercase    ,   __lowercase   ):
                      __lowercase      		=[files]
                 __lowercase      		=[dl_manager.iter_files(__lowercase   ) 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(__lowercase    ,   __lowercase   ):
                      __lowercase      		=[files]
                 __lowercase      		=[dl_manager.iter_files(__lowercase   ) for file in files]
                 splits.append(datasets.SplitGenerator(name=__lowercase    ,   gen_kwargs={'files': files}   )   )
            return splits







       def       snake_case (				self      :			Tuple    ,   __lowercase      :			pa.Table   ):







            """simple docstring"""







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







       def       snake_case (				self      :			Dict    ,   __lowercase      :			int   ):







            """simple docstring"""







            __lowercase      		=self.config.features.arrow_schema if self.config.features else None
            # dtype allows reading an int column as str
            __lowercase      		=(
                {
                    name: dtype.to_pandas_dtype() if not require_storage_cast(__lowercase   ) 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(__lowercase   )   ):
                 __lowercase      		=pd.read_csv(__lowercase    ,   iterator=__lowercase    ,   dtype=__lowercase    ,   **self.config.pd_read_csv_kwargs   )
                 try:
                      for batch_idx, df in enumerate(__lowercase   ):
                           __lowercase      		=pa.Table.from_pandas(__lowercase   )
                           # 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(__lowercase   )
                 except ValueError as e:
                      logger.error(f'''Failed to read file \'{file}\' with error {type(__lowercase   )}: {e}'''   )
                      raise





'''simple docstring'''

from __future__ import annotations

def 					__UpperCamelCase				(						lowercase__    :	float,       lowercase__    :	float,       lowercase__    :	float			):






     '''simple docstring'''





     if (voltage, current, resistance).count(0			) != 1:
          raise ValueError('One and only one argument must be 0'			)
     if resistance < 0:
          raise ValueError('Resistance cannot be negative'			)
     if voltage == 0:
          return {"voltage": float(current * resistance			)}
     elif current == 0:
          return {"current": voltage / resistance}
     elif resistance == 0:
          return {"resistance": voltage / current}
     else:
          raise ValueError('Exactly one argument must be 0'			)


if __name__ == "__main__":
       import doctest

       doctest.testmod()


