"""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     :		Any											=					datasets.utils.logging.get_logger(__name__)

_UpperCamelCase     :		Tuple											=					["names", "prefix"]
_UpperCamelCase     :		str											=					["warn_bad_lines", "error_bad_lines", "mangle_dupe_cols"]
_UpperCamelCase     :		List[Any]											=					["encoding_errors", "on_bad_lines"]
_UpperCamelCase     :		List[Any]											=					["date_format"]


@dataclass
class   UpperCAmelCase_			(					datasets.BuilderConfig):
      lowerCamelCase__	:					Tuple										=						","
      lowerCamelCase__	:					Optional[int]										=						None
      lowerCamelCase__	:					Union[str, Any]										=						"infer"
      lowerCamelCase__	:					Tuple										=						None
      lowerCamelCase__	:					Tuple										=						None
      lowerCamelCase__	:					Any										=						None
      lowerCamelCase__	:					int										=						None
      lowerCamelCase__	:					Any										=						None
      lowerCamelCase__	:					int										=						True
      lowerCamelCase__	:					int										=						None
      lowerCamelCase__	:					Optional[int]										=						None
      lowerCamelCase__	:					List[Any]										=						None
      lowerCamelCase__	:					Optional[Any]										=						None
      lowerCamelCase__	:					Union[str, Any]										=						False
      lowerCamelCase__	:					List[str]										=						None
      lowerCamelCase__	:					str										=						None
      lowerCamelCase__	:					int										=						None
      lowerCamelCase__	:					List[str]										=						True
      lowerCamelCase__	:					Optional[int]										=						True
      lowerCamelCase__	:					List[Any]										=						False
      lowerCamelCase__	:					List[Any]										=						True
      lowerCamelCase__	:					Any										=						None
      lowerCamelCase__	:					Dict										=						"."
      lowerCamelCase__	:					str										=						None
      lowerCamelCase__	:					Optional[Any]										=						"\""
      lowerCamelCase__	:					List[Any]										=						0
      lowerCamelCase__	:					Dict										=						None
      lowerCamelCase__	:					Dict										=						None
      lowerCamelCase__	:					Union[str, Any]										=						None
      lowerCamelCase__	:					Union[str, Any]										=						None
      lowerCamelCase__	:					Any										=						True
      lowerCamelCase__	:					Any										=						True
      lowerCamelCase__	:					List[Any]										=						0
      lowerCamelCase__	:					Optional[Any]										=						True
      lowerCamelCase__	:					Union[str, Any]										=						False
      lowerCamelCase__	:					str										=						None
      lowerCamelCase__	:					List[str]										=						1_0_0_0_0
      lowerCamelCase__	:					Dict										=						None
      lowerCamelCase__	:					Optional[Any]										=						"strict"
      lowerCamelCase__	:					Optional[int]										=						"error"
      lowerCamelCase__	:					Optional[Any]										=						None


      def 	_UpperCAmelCase (     self							) ->      int:
             if self.delimiter is not None:
                    lowercase__    :	Optional[Any]     					=			self.delimiter
             if self.column_names is not None:
                    lowercase__    :	int     					=			self.column_names


      @property
      def 	_UpperCAmelCase (     self							) ->      Any:
             lowercase__    :	Union[str, 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()	,    a							):
                           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   UpperCAmelCase_			(					datasets.ArrowBasedBuilder):
      lowerCamelCase__	:					List[Any]										=						CsvConfig


      def 	_UpperCAmelCase (     self							) ->      int:
             return datasets.DatasetInfo(features=self.config.features							)


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


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


      def 	_UpperCAmelCase (     self	,    a							) ->      Union[str, Any]:
             lowercase__    :	List[str]     					=			self.config.features.arrow_schema if self.config.features else None
             # dtype allows reading an int column as str
             lowercase__    :	Optional[int]     					=			(
                 {
                     name: dtype.to_pandas_dtype() if not require_storage_cast(a							) 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(a							)							):
                    lowercase__    :	List[Any]     					=			pd.read_csv(a	,    iterator=a	,    dtype=a	,    **self.config.pd_read_csv_kwargs							)
                    try:
                           for batch_idx, df in enumerate(a							):
                                  lowercase__    :	List[str]     					=			pa.Table.from_pandas(a							)
                                  # 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(a							)
                    except ValueError as e:
                           logger.error(f"""Failed to read file '{file}' with error {type(a							)}: {e}"""							)
                           raise
"""simple docstring"""





import math





def        a_  (   _lowerCAmelCase						:				int = 100  ):





       '''simple docstring'''

       lowercase__    :	Union[str, Any]     					=			sum(i * i for i in range(1     ,				n + 1  )  )
       lowercase__    :	str     					=			int(math.pow(sum(range(1     ,				n + 1  )  )     ,				2  )  )
       return square_of_sum - sum_of_squares


if __name__ == "__main__":
       print(f'''{solution() = }''')

