


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A									=		logging.get_logger(__name__)

_A									=		{
    'MBZUAI/swiftformer-xs': 'https://huggingface.co/MBZUAI/swiftformer-xs/resolve/main/config.json',
}






class        UpperCAmelCase__			(   A_						):



    """simple docstring"""






    UpperCAmelCase__		:						List[Any]    =    "swiftformer"






    def __init__(     self   ,  A_=3   ,  A_=[3, 3, 6, 4]   ,  A_=[48, 56, 112, 220]   ,  A_=4   ,  A_=[True, True, True, True]   ,  A_="gelu"   ,  A_=3   ,  A_=2   ,  A_=1   ,  A_=0.0   ,  A_=True   ,  A_=1E-5   ,  A_=1E-5   ,  **A_   ,  )    ->			Union[str, Any]:
         super().__init__(**A_       )
         __UpperCamelCase       				=num_channels
         __UpperCamelCase       				=depths
         __UpperCamelCase       				=embed_dims
         __UpperCamelCase       				=mlp_ratio
         __UpperCamelCase       				=downsamples
         __UpperCamelCase       				=hidden_act
         __UpperCamelCase       				=down_patch_size
         __UpperCamelCase       				=down_stride
         __UpperCamelCase       				=down_pad
         __UpperCamelCase       				=drop_path_rate
         __UpperCamelCase       				=use_layer_scale
         __UpperCamelCase       				=layer_scale_init_value
         __UpperCamelCase       				=batch_norm_eps






class        UpperCAmelCase__			(   A_						):



    """simple docstring"""






    UpperCAmelCase__		:						str    =    version.parse("1.11"						)






    @property
    def _a   (     self       )    ->			Mapping[str, Mapping[int, str]]:
         return OrderedDict(
             [
                 ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
             ]       )






    @property
    def _a   (     self       )    ->			float:
         return 1E-4









import json
import os
import tempfile

import datasets
from utils import generate_example_dataset, get_duration


_A									=		50_0000

_A			,	_A									=		os.path.split(__file__)
_A									=		os.path.join(RESULTS_BASEPATH, 'results', RESULTS_FILENAME.replace('.py', '.json'))

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.select(range(0     ,	len(SCREAMING_SNAKE_CASE__							)     ,	2							)							)

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.sort('numbers'							)

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.shuffle()

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset							):
     __UpperCamelCase       				=dataset.train_test_split(0.1							)

@get_duration
def 		_UpperCAmelCase							(     SCREAMING_SNAKE_CASE__     :   datasets.Dataset     ,	SCREAMING_SNAKE_CASE__     :   int=10							):
     for shard_id in range(SCREAMING_SNAKE_CASE__							):
          __UpperCamelCase       				=dataset.shard(SCREAMING_SNAKE_CASE__     ,	SCREAMING_SNAKE_CASE__							)

def 		_UpperCAmelCase							(     ):
     __UpperCamelCase       				={'num examples': SPEED_TEST_N_EXAMPLES}
     __UpperCamelCase       				=(select, sort, shuffle, train_test_split, shard)
     with tempfile.TemporaryDirectory() as tmp_dir:
          print('generating dataset'							)
          __UpperCamelCase       				=datasets.Features({'text': datasets.Value('string'							), 'numbers': datasets.Value('float32'							)}							)
          __UpperCamelCase       				=generate_example_dataset(
              os.path.join(SCREAMING_SNAKE_CASE__     ,	'dataset.arrow'							)     ,	SCREAMING_SNAKE_CASE__     ,	num_examples=SCREAMING_SNAKE_CASE__							)
          print('Functions'							)
          for func in functions:
               print(func.__name__							)
               __UpperCamelCase       				=func(SCREAMING_SNAKE_CASE__							)

     with open(SCREAMING_SNAKE_CASE__     ,	'wb'							) as f:
          f.write(json.dumps(SCREAMING_SNAKE_CASE__							).encode('utf-8'							)							)


if __name__ == "__main__":  # useful to run the profiler
   benchmark_indices_mapping()





