import timeit

import numpy as np

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


def        __lowerCAmelCase      (	_A       ):



							"""simple docstring"""


							def wrapper(*_A			,**_A       ):
														_lowercase					=						timeit.default_timer()
														_lowercase					=						func(*_UpperCamelCase			,**_UpperCamelCase       )
														_lowercase					=						timeit.default_timer() - starttime
														return delta

							_lowercase					=						func.__name__

							return wrapper


def        __lowerCAmelCase      (	_A			,_A=100			,_A=None       ):



							"""simple docstring"""


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

														dummy_data.append((i, example)       )

							return dummy_data







def        __lowerCAmelCase      (	_A			,_A			,_A=100			,_A=None       ):



							"""simple docstring"""


							_lowercase					=						generate_examples(_UpperCamelCase			,num_examples=_UpperCamelCase			,seq_shapes=_UpperCamelCase       )

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

														_lowercase					,							_lowercase					=						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}.'''       )

							_lowercase					=						datasets.Dataset.from_file(filename=_UpperCamelCase			,info=datasets.DatasetInfo(features=_UpperCamelCase       )       )

							return dataset






a			:			Any												=					[
    '''Audio''',
    '''Array2D''',
    '''Array3D''',
    '''Array4D''',
    '''Array5D''',
    '''ClassLabel''',
    '''Features''',
    '''Sequence''',
    '''Value''',
    '''Image''',
    '''Translation''',
    '''TranslationVariableLanguages''',
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages


