






"""simple docstring"""



import itertools
from dataclasses import dataclass
from typing import List, Optional

import pyarrow as pa
import pyarrow.parquet as pq

import datasets
from datasets.table import table_cast


_UpperCamelCase		:  Tuple						=		datasets.utils.logging.get_logger(__name__)

@dataclass
class        a     (   datasets.BuilderConfig	):
    UpperCAmelCase_ :     int	     =1_0000
    UpperCAmelCase_ :     Optional[List[str]]	     =None
    UpperCAmelCase_ :     Optional[datasets.Features]	     =None


class        a     (   datasets.ArrowBasedBuilder	):
    UpperCAmelCase_ :     Optional[Any]	     =ParquetConfig







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







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      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(_lowerCamelCase							,		(str, list, tuple)       ):
        lowercase							    =       data_files
        if isinstance(_lowerCamelCase							,		_lowerCamelCase       ):
          lowercase							    =       [files]
        # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
        lowercase							    =       [dl_manager.iter_files(_lowerCamelCase       ) 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(_lowerCamelCase							,		_lowerCamelCase       ):
          lowercase							    =       [files]
        # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
        lowercase							    =       [dl_manager.iter_files(_lowerCamelCase       ) for file in files]
        # Infer features is they are stoed in the arrow schema
        if self.info.features is None:
          for file in itertools.chain.from_iterable(_lowerCamelCase       ):
            with open(_lowerCamelCase							,		'rb'       ) as f:
              lowercase							    =       datasets.Features.from_arrow_schema(pq.read_schema(_lowerCamelCase       )       )
            break
        splits.append(datasets.SplitGenerator(name=_lowerCamelCase							,		gen_kwargs={'files': files}       )       )
      return splits







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      if self.info.features is not None:
        # more expensive cast to support nested features with keys in a different order
        # allows str <-> int/float or str to Audio for example
        lowercase							    =       table_cast(_lowerCamelCase							,		self.info.features.arrow_schema       )
      return pa_table







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      lowercase							    =       self.info.features.arrow_schema if self.info.features is not None else None
      if self.info.features is not None and self.config.columns is not None:
        if sorted(field.name for field in schema       ) != sorted(self.config.columns       ):
          raise ValueError(
              F'Tried to load parquet data with columns \'{self.config.columns}\' with mismatching features \'{self.info.features}\''       )
      for file_idx, file in enumerate(itertools.chain.from_iterable(_lowerCamelCase       )       ):
        with open(_lowerCamelCase							,		'rb'       ) as f:
          lowercase							    =       pq.ParquetFile(_lowerCamelCase       )
          try:
            for batch_idx, record_batch in enumerate(
                parquet_file.iter_batches(batch_size=self.config.batch_size							,		columns=self.config.columns       )       ):
              lowercase							    =       pa.Table.from_batches([record_batch]       )
              # 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 F'{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"""



_UpperCamelCase		:  List[str]						=		{
    'meter': 'm',
    'kilometer': 'km',
    'megametre': 'Mm',
    'gigametre': 'Gm',
    'terametre': 'Tm',
    'petametre': 'Pm',
    'exametre': 'Em',
    'zettametre': 'Zm',
    'yottametre': 'Ym',
}
# Exponent of the factor(meter)
_UpperCamelCase		:  str						=		{
    'm': 0,
    'km': 3,
    'Mm': 6,
    'Gm': 9,
    'Tm': 1_2,
    'Pm': 1_5,
    'Em': 1_8,
    'Zm': 2_1,
    'Ym': 2_4,
}
def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  float		,					__snake_case			:  str		,					__snake_case			:  str    ):





  '''simple docstring'''





  lowercase							    =       from_type.lower().strip('s'    )
  lowercase							    =       to_type.lower().strip('s'    )

  lowercase							    =       UNIT_SYMBOL.get(__snake_case		,					__snake_case    )
  lowercase							    =       UNIT_SYMBOL.get(__snake_case		,					__snake_case    )

  if from_sanitized not in METRIC_CONVERSION:
    lowercase							    =       (
        f'Invalid \'from_type\' value: {from_type!r}.\n'
        f'Conversion abbreviations are: {", ".join(__snake_case    )}'
    )
    raise ValueError(__snake_case    )
  if to_sanitized not in METRIC_CONVERSION:
    lowercase							    =       (
        f'Invalid \'to_type\' value: {to_type!r}.\n'
        f'Conversion abbreviations are: {", ".join(__snake_case    )}'
    )
    raise ValueError(__snake_case    )
  lowercase							    =       METRIC_CONVERSION[from_sanitized]
  lowercase							    =       METRIC_CONVERSION[to_sanitized]
  lowercase							    =       1

  if from_exponent > to_exponent:
    lowercase							    =       from_exponent - to_exponent
  else:
    lowercase							    =       -(to_exponent - from_exponent)

  return value * pow(10		,					__snake_case    )


if __name__ == "__main__":
    from doctest import testmod

    testmod()


