




'''simple docstring'''





import timeit

import numpy as np

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features.features import _ArrayXD




def 					__SCREAMING_SNAKE_CASE   (  lowercase_      )       ->	Optional[int]:

    """simple docstring"""


    def wrapper(*lowercase_					,     **lowercase_      ):
        __UpperCamelCase  		=						timeit.default_timer()
        __UpperCamelCase  		=						func(*_lowerCamelCase					,     **_lowerCamelCase      )
        __UpperCamelCase  		=						timeit.default_timer() - starttime
        return delta

    __UpperCamelCase  		=						func.__name__

    return wrapper




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_=1_00					,     lowercase_=None      )       ->	Tuple:

    """simple docstring"""


    __UpperCamelCase  		=						[]
    __UpperCamelCase  		=						seq_shapes or {}
    for i in range(_lowerCamelCase      ):
        __UpperCamelCase  		=						{}
        for col_id, (k, v) in enumerate(features.items()      ):
            if isinstance(_lowerCamelCase					,     _ArrayXD      ):
                __UpperCamelCase  		=						np.random.rand(*v.shape      ).astype(v.dtype      )
            elif isinstance(_lowerCamelCase					,     datasets.Value      ):
                if v.dtype == "string":
                    __UpperCamelCase  		=						"The small grey turtle was surprisingly fast when challenged."
                else:
                    __UpperCamelCase  		=						np.random.randint(10					,     size=1      ).astype(v.dtype      ).item()
            elif isinstance(_lowerCamelCase					,     datasets.Sequence      ):
                while isinstance(_lowerCamelCase					,     datasets.Sequence      ):
                    __UpperCamelCase  		=						v.feature
                __UpperCamelCase  		=						seq_shapes[k]
                __UpperCamelCase  		=						np.random.rand(*_lowerCamelCase      ).astype(v.dtype      )
            __UpperCamelCase  		=						data

        dummy_data.append((i, example)      )

    return dummy_data




def 					__SCREAMING_SNAKE_CASE   (  lowercase_					,     lowercase_					,     lowercase_=1_00					,     lowercase_=None      )       ->	Any:

    """simple docstring"""


    __UpperCamelCase  		=						generate_examples(_lowerCamelCase					,     num_examples=_lowerCamelCase					,     seq_shapes=_lowerCamelCase      )

    with ArrowWriter(features=_lowerCamelCase					,     path=_lowerCamelCase      ) as writer:
        for key, record in dummy_data:
            __UpperCamelCase  		=						features.encode_example(_lowerCamelCase      )
            writer.write(_lowerCamelCase      )

        __UpperCamelCase  		=						writer.finalize()

    if not num_final_examples == num_examples:
        raise ValueError(
            F"Error writing the dataset, wrote {num_final_examples} examples but should have written {num_examples}."      )

    __UpperCamelCase  		=						datasets.Dataset.from_file(filename=_lowerCamelCase					,     info=datasets.DatasetInfo(features=_lowerCamelCase      )      )

    return dataset












from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url

class  _lowerCamelCase						(			_SCREAMING_SNAKE_CASE   ):

      """simple docstring"""

      lowerCAmelCase__			: Any    =					""
      lowerCAmelCase__			: Any    =					"hf-legacy"  # "hf://"" is reserved for hffs







      def __init__(     self					: str ,       snake_case					: Optional[DatasetInfo] = None ,       snake_case					: Optional[str] = None ,       **snake_case					: List[Any] ,       ):
          super().__init__(self ,       **snake_case				)
          __UpperCamelCase  		=						repo_info
          __UpperCamelCase  		=						token
          __UpperCamelCase  		=						None







      def       snake_case	(     self					: List[Any]				):
          if self.dir_cache is None:
              __UpperCamelCase  		=						{}
              for hf_file in self.repo_info.siblings:
                  # TODO(QL): add sizes
                  __UpperCamelCase  		=						{
                      '''name''': hf_file.rfilename,
                      '''size''': None,
                      '''type''': '''file''',
                  }
                  self.dir_cache.update(
                      {
                          str(snake_case				): {'''name''': str(snake_case				), '''size''': None, '''type''': '''directory'''}
                          for d in list(PurePosixPath(hf_file.rfilename				).parents				)[:-1]
                      }				)







      def       snake_case	(     self					: Dict ,       snake_case					: str ,       snake_case					: str = "rb" ,       **snake_case					: Union[str, Any] ,       ):
          if not isinstance(self.repo_info ,       snake_case				):
              raise NotImplementedError(F"Open is only implemented for dataset repositories, but got {self.repo_info}"				)
          __UpperCamelCase  		=						hf_hub_url(self.repo_info.id ,       snake_case ,       revision=self.repo_info.sha				)
          return fsspec.open(
              snake_case ,       mode=snake_case ,       headers=get_authentication_headers_for_url(snake_case ,       use_auth_token=self.token				) ,       client_kwargs={'''trust_env''': True} ,       ).open()







      def       snake_case	(     self					: Optional[Any] ,       snake_case					: Tuple ,       **snake_case					: List[Any]				):
          self._get_dirs()
          __UpperCamelCase  		=						self._strip_protocol(snake_case				)
          if path in self.dir_cache:
              return self.dir_cache[path]
          else:
              raise FileNotFoundError(snake_case				)







      def       snake_case	(     self					: List[str] ,       snake_case					: int ,       snake_case					: Tuple=False ,       **snake_case					: Dict				):
          self._get_dirs()
          __UpperCamelCase  		=						PurePosixPath(path.strip('''/'''				)				)
          __UpperCamelCase  		=						{}
          for p, f in self.dir_cache.items():
              __UpperCamelCase  		=						PurePosixPath(p.strip('''/'''				)				)
              __UpperCamelCase  		=						p.parent
              if root == path:
                  __UpperCamelCase  		=						f
          __UpperCamelCase  		=						list(paths.values()				)
          if detail:
              return out
          else:
              return sorted(f['''name'''] for f in out				)






