
"""simple docstring"""

import os
from typing import BinaryIO, Optional, Union

import numpy as np
import pyarrow.parquet as pq

from .. import Audio, Dataset, Features, Image, NamedSplit, Value, config
from ..features.features import FeatureType, _visit
from ..formatting import query_table
from ..packaged_modules import _PACKAGED_DATASETS_MODULES
from ..packaged_modules.parquet.parquet import Parquet
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader




def     lowercase__						(					lowerCAmelCase				:					Features ) ->      Optional[int]:






    """simple docstring"""




    UpperCAmelCase									=					np.inf

    def set_batch_size(lowerCAmelCase				:					FeatureType ) -> None:
        nonlocal batch_size
        if isinstance(lowerCAmelCase ,				lowerCAmelCase ):
            UpperCAmelCase									=					min(lowerCAmelCase ,				config.PARQUET_ROW_GROUP_SIZE_FOR_IMAGE_DATASETS )
        elif isinstance(lowerCAmelCase ,				lowerCAmelCase ):
            UpperCAmelCase									=					min(lowerCAmelCase ,				config.PARQUET_ROW_GROUP_SIZE_FOR_AUDIO_DATASETS )
        elif isinstance(lowerCAmelCase ,				lowerCAmelCase ) and feature.dtype == "binary":
            UpperCAmelCase									=					min(lowerCAmelCase ,				config.PARQUET_ROW_GROUP_SIZE_FOR_BINARY_DATASETS )

    _visit(lowerCAmelCase ,				lowerCAmelCase )

    return None if batch_size is np.inf else batch_size
class      _UpperCAmelCase							(		SCREAMING_SNAKE_CASE_							):




      def __init__(							self   ,       lowercase_   ,       lowercase_ = None   ,       lowercase_ = None   ,       lowercase_ = None   ,       lowercase_ = False   ,       lowercase_ = False   ,       lowercase_ = None   ,       **lowercase_   ,       )						->					str:
          super().__init__(
              lowercase_   ,       split=lowercase_   ,       features=lowercase_   ,       cache_dir=lowercase_   ,       keep_in_memory=lowercase_   ,       streaming=lowercase_   ,       num_proc=lowercase_   ,       **lowercase_   ,       )
          UpperCAmelCase									=					path_or_paths if isinstance(lowercase_   ,       lowercase_							) else {self.split: path_or_paths}
          UpperCAmelCase									=					_PACKAGED_DATASETS_MODULES['parquet'][1]
          UpperCAmelCase									=					Parquet(
              cache_dir=lowercase_   ,       data_files=lowercase_   ,       features=lowercase_   ,       hash=lowercase_   ,       **lowercase_   ,       )




      def     a_      (							self							)						->					Optional[Any]:
          # Build iterable dataset
          if self.streaming:
              UpperCAmelCase									=					self.builder.as_streaming_dataset(split=self.split							)
          # Build regular (map-style) dataset
          else:
              UpperCAmelCase									=					None
              UpperCAmelCase									=					None
              UpperCAmelCase									=					None
              UpperCAmelCase									=					None

              self.builder.download_and_prepare(
                  download_config=lowercase_   ,       download_mode=lowercase_   ,       verification_mode=lowercase_   ,       base_path=lowercase_   ,       num_proc=self.num_proc   ,       )
              UpperCAmelCase									=					self.builder.as_dataset(
                  split=self.split   ,       verification_mode=lowercase_   ,       in_memory=self.keep_in_memory							)
          return dataset

class      _UpperCAmelCase							:




      def __init__(							self   ,       lowercase_   ,       lowercase_   ,       lowercase_ = None   ,       **lowercase_   ,       )						->					int:
          UpperCAmelCase									=					dataset
          UpperCAmelCase									=					path_or_buf
          UpperCAmelCase									=					batch_size or get_writer_batch_size(dataset.features							)
          UpperCAmelCase									=					parquet_writer_kwargs




      def     a_      (							self							)						->					int:
          UpperCAmelCase									=					self.batch_size if self.batch_size else config.DEFAULT_MAX_BATCH_SIZE

          if isinstance(self.path_or_buf   ,       (str, bytes, os.PathLike)							):
              with open(self.path_or_buf   ,       'wb+'							) as buffer:
                  UpperCAmelCase									=					self._write(file_obj=lowercase_   ,       batch_size=lowercase_   ,       **self.parquet_writer_kwargs							)
          else:
              UpperCAmelCase									=					self._write(file_obj=self.path_or_buf   ,       batch_size=lowercase_   ,       **self.parquet_writer_kwargs							)
          return written




      def     a_      (							self   ,       lowercase_   ,       lowercase_   ,       **lowercase_							)						->					int:
          UpperCAmelCase									=					0
          UpperCAmelCase									=					parquet_writer_kwargs.pop('path_or_buf'   ,       lowercase_							)
          UpperCAmelCase									=					self.dataset.features.arrow_schema

          UpperCAmelCase									=					pq.ParquetWriter(lowercase_   ,       schema=lowercase_   ,       **lowercase_							)

          for offset in logging.tqdm(
              range(0   ,       len(self.dataset							)   ,       lowercase_							)   ,       unit='ba'   ,       disable=not logging.is_progress_bar_enabled()   ,       desc='Creating parquet from Arrow format'   ,       ):
              UpperCAmelCase									=					query_table(
                  table=self.dataset._data   ,       key=slice(lowercase_   ,       offset + batch_size							)   ,       indices=self.dataset._indices if self.dataset._indices is not None else None   ,       )
              writer.write_table(lowercase_							)
              written += batch.nbytes
          writer.close()
          return written





"""simple docstring"""

import os
from collections.abc import Iterator




def     lowercase__						(					lowerCAmelCase				:					str = "." ) ->      Iterator[str]:






    """simple docstring"""




    for dir_path, dir_names, filenames in os.walk(lowerCAmelCase ):
        UpperCAmelCase									=					[d for d in dir_names if d != 'scripts' and d[0] not in '._']
        for filename in filenames:
            if filename == "__init__.py":
                continue
            if os.path.splitext(lowerCAmelCase )[1] in (".py", ".ipynb"):
                yield os.path.join(lowerCAmelCase ,				lowerCAmelCase ).lstrip('./' )




def     lowercase__						(					lowerCAmelCase				:					Union[str, Any] ) ->      Any:






    """simple docstring"""




    return F"{i * '  '}*" if i else "\n##"




def     lowercase__						(					lowerCAmelCase				:					str ,				lowerCAmelCase				:					str ) ->      str:






    """simple docstring"""




    UpperCAmelCase									=					old_path.split(os.sep )
    for i, new_part in enumerate(new_path.split(os.sep ) ):
        if (i + 1 > len(lowerCAmelCase ) or old_parts[i] != new_part) and new_part:
            print(F"{md_prefix(lowerCAmelCase )} {new_part.replace('_' ,				' ' ).title()}" )
    return new_path




def     lowercase__						(					lowerCAmelCase				:					str = "." ) ->      None:






    """simple docstring"""




    UpperCAmelCase									=					''
    for filepath in sorted(good_file_paths(lowerCAmelCase ) ):
        UpperCAmelCase			,							UpperCAmelCase									=					os.path.split(lowerCAmelCase )
        if filepath != old_path:
            UpperCAmelCase									=					print_path(lowerCAmelCase ,				lowerCAmelCase )
        UpperCAmelCase									=					(filepath.count(os.sep ) + 1) if filepath else 0
        UpperCAmelCase									=					F"{filepath}/{filename}".replace(' ' ,				'%20' )
        UpperCAmelCase									=					os.path.splitext(filename.replace('_' ,				' ' ).title() )[0]
        print(F"{md_prefix(lowerCAmelCase )} [{filename}]({url})" )


if __name__ == "__main__":
   print_directory_md('''.''')



