code: 
  
  
  
  '''simple docstring'''
  
  
  
  
  
  import argparse
  import json
  from pathlib import Path
  
  import requests
  import torch
  from huggingface_hub import hf_hub_download
  from PIL import Image
  
  from transformers import ConvNextConfig, ConvNextForImageClassification, ConvNextImageProcessor
  from transformers.utils import logging
  
  
  logging.set_verbosity_info()
  __lowerCamelCase  				=					logging.get_logger(__name__)
  
  
  
  
  def     UpperCAmelCase__ (							__snake_case							)   -> Dict:
    _A           =    ConvNextConfig()
  
    if "tiny" in checkpoint_url:
      _A           =    [3, 3, 9, 3]
      _A           =    [96, 192, 384, 768]
    if "small" in checkpoint_url:
      _A           =    [3, 3, 27, 3]
      _A           =    [96, 192, 384, 768]
    if "base" in checkpoint_url:
      _A           =    [3, 3, 27, 3]
      _A           =    [128, 256, 512, 1_024]
    if "large" in checkpoint_url:
      _A           =    [3, 3, 27, 3]
      _A           =    [192, 384, 768, 1_536]
    if "xlarge" in checkpoint_url:
      _A           =    [3, 3, 27, 3]
      _A           =    [256, 512, 1_024, 2_048]
  
    if "1k" in checkpoint_url:
      _A           =    1_000
      _A           =    '''imagenet-1k-id2label.json'''
      _A           =    (1, 1_000)
    else:
      _A           =    21_841
      _A           =    '''imagenet-22k-id2label.json'''
      _A           =    (1, 21_841)
  
    _A           =    '''huggingface/label-files'''
    _A           =    num_labels
    _A           =    json.load(open(hf_hub_download(__snake_case						,				__snake_case						,				repo_type='''dataset'''							)						,				'''r'''							)							)
    _A           =    {int(__snake_case							): v for k, v in idalabel.items()}
    if "1k" not in checkpoint_url:
      # this dataset contains 21843 labels but the model only has 21841
      # we delete the classes as mentioned in https://github.com/google-research/big_transfer/issues/18
      del idalabel[9_205]
      del idalabel[15_027]
    _A           =    idalabel
    _A           =    {v: k for k, v in idalabel.items()}
    _A           =    hidden_sizes
    _A           =    depths
  
    return config, expected_shape
  
  
  
  
  def     UpperCAmelCase__ (							__snake_case							)   -> Optional[int]:
    if "downsample_layers.0.0" in name:
      _A           =    name.replace('''downsample_layers.0.0'''						,				'''embeddings.patch_embeddings'''							)
    if "downsample_layers.0.1" in name:
      _A           =    name.replace('''downsample_layers.0.1'''						,				'''embeddings.norm'''							)  # we rename to layernorm later on
    if "downsample_layers.1.0" in name:
      _A           =    name.replace('''downsample_layers.1.0'''						,				'''stages.1.downsampling_layer.0'''							)
    if "downsample_layers.1.1" in name:
      _A           =    name.replace('''downsample_layers.1.1'''						,				'''stages.1.downsampling_layer.1'''							)
    if "downsample_layers.2.0" in name:
      _A           =    name.replace('''downsample_layers.2.0'''						,				'''stages.2.downsampling_layer.0'''							)
    if "downsample_layers.2.1" in name:
      _A           =    name.replace('''downsample_layers.2.1'''						,				'''stages.2.downsampling_layer.1'''							)
    if "downsample_layers.3.0" in name:
      _A           =    name.replace('''downsample_layers.3.0'''						,				'''stages.3.downsampling_layer.0'''							)
    if "downsample_layers.3.1" in name:
      _A           =    name.replace('''downsample_layers.3.1'''						,				'''stages.3.downsampling_layer.1'''							)
    if "stages" in name and "downsampling_layer" not in name:
      # stages.0.0. for instance should be renamed to stages.0.layers.0.
      _A           =    name[: len('''stages.0'''							)] + '''.layers''' + name[len('''stages.0'''							) :]
    if "stages" in name:
      _A           =    name.replace('''stages'''						,				'''encoder.stages'''							)
    if "norm" in name:
      _A           =    name.replace('''norm'''						,				'''layernorm'''							)
    if "gamma" in name:
      _A           =    name.replace('''gamma'''						,				'''layer_scale_parameter'''							)
    if "head" in name:
      _A           =    name.replace('''head'''						,				'''classifier'''							)
  
    return name
  
  
  
  
  def     UpperCAmelCase__ (							)   -> List[str]:
    _A           =    '''http://images.cocodataset.org/val2017/000000039769.jpg'''
    _A           =    Image.open(requests.get(__snake_case						,				stream=__snake_case							).raw							)
    return im
  
  
  
  
  @torch.no_grad()
  def     UpperCAmelCase__ (							__snake_case						,				__snake_case							)   -> Dict:
    _A    ,   _A           =    get_convnext_config(__snake_case							)
    # load original state_dict from URL
    _A           =    torch.hub.load_state_dict_from_url(__snake_case							)['''model''']
    # rename keys
    for key in state_dict.copy().keys():
      _A           =    state_dict.pop(__snake_case							)
      _A           =    val
    # add prefix to all keys expect classifier head
    for key in state_dict.copy().keys():
      _A           =    state_dict.pop(__snake_case							)
      if not key.startswith('''classifier'''							):
        _A           =    '''convnext.''' + key
      _A           =    val
  
    # load HuggingFace model
    _A           =    ConvNextForImageClassification(__snake_case							)
    model.load_state_dict(__snake_case							)
    model.eval()
  
    # Check outputs on an image, prepared by ConvNextImageProcessor
    _A           =    224 if '''224''' in checkpoint_url else 384
    _A           =    ConvNextImageProcessor(size=__snake_case							)
    _A           =    image_processor(images=prepare_img()						,				return_tensors='''pt'''							).pixel_values
  
    _A           =    model(__snake_case							).logits
  
    # note: the logits below were obtained without center cropping
    if checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_tiny_1k_224_ema.pth":
      _A           =    torch.tensor([-0.12_10, -0.66_05, 0.19_18]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_small_1k_224_ema.pth":
      _A           =    torch.tensor([-0.44_73, -0.18_47, -0.63_65]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_base_1k_224_ema.pth":
      _A           =    torch.tensor([0.45_25, 0.75_39, 0.03_08]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_base_1k_384.pth":
      _A           =    torch.tensor([0.35_61, 0.63_50, -0.03_84]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_large_1k_224_ema.pth":
      _A           =    torch.tensor([0.41_74, -0.09_89, 0.14_89]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_large_1k_384.pth":
      _A           =    torch.tensor([0.25_13, -0.13_49, -0.16_13]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_224.pth":
      _A           =    torch.tensor([1.29_80, 0.36_31, -0.11_98]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_224.pth":
      _A           =    torch.tensor([1.29_63, 0.12_27, 0.17_23]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_224.pth":
      _A           =    torch.tensor([1.79_56, 0.83_90, 0.28_20]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_1k_224.pth":
      _A           =    torch.tensor([-0.28_22, -0.05_02, -0.08_78]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_base_22k_1k_384.pth":
      _A           =    torch.tensor([-0.56_72, -0.07_30, -0.43_48]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_1k_224.pth":
      _A           =    torch.tensor([0.26_81, 0.23_65, 0.62_46]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_large_22k_1k_384.pth":
      _A           =    torch.tensor([-0.26_42, 0.39_31, 0.51_16]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_1k_224_ema.pth":
      _A           =    torch.tensor([-0.66_77, -0.18_73, -0.83_79]							)
    elif checkpoint_url == "https://dl.fbaipublicfiles.com/convnext/convnext_xlarge_22k_1k_384_ema.pth":
      _A           =    torch.tensor([-0.77_49, -0.29_67, -0.64_44]							)
    else:
      raise ValueError(F'''Unknown URL: {checkpoint_url}'''							)
  
    assert torch.allclose(logits[0, :3]						,				__snake_case						,				atol=1e-3							)
    assert logits.shape == expected_shape
  
    Path(__snake_case							).mkdir(exist_ok=__snake_case							)
    print(F'''Saving model to {pytorch_dump_folder_path}'''							)
    model.save_pretrained(__snake_case							)
    print(F'''Saving image processor to {pytorch_dump_folder_path}'''							)
    image_processor.save_pretrained(__snake_case							)
  
    print('''Pushing model to the hub...'''							)
    _A           =    '''convnext'''
    if "tiny" in checkpoint_url:
      model_name += "-tiny"
    elif "small" in checkpoint_url:
      model_name += "-small"
    elif "base" in checkpoint_url:
      model_name += "-base"
    elif "xlarge" in checkpoint_url:
      model_name += "-xlarge"
    elif "large" in checkpoint_url:
      model_name += "-large"
    if "224" in checkpoint_url:
      model_name += "-224"
    elif "384" in checkpoint_url:
      model_name += "-384"
    if "22k" in checkpoint_url and "1k" not in checkpoint_url:
      model_name += "-22k"
    if "22k" in checkpoint_url and "1k" in checkpoint_url:
      model_name += "-22k-1k"
  
    model.push_to_hub(
        repo_path_or_name=Path(__snake_case						,				__snake_case							)						,				organization='''nielsr'''						,				commit_message='''Add model'''						,				)
  
  
  if __name__ == "__main__":
      __lowerCamelCase  				=					argparse.ArgumentParser()
      # Required parameters
      parser.add_argument(
          """--checkpoint_url""",
          default="""https://dl.fbaipublicfiles.com/convnext/convnext_tiny_1k_224_ema.pth""",
          type=str,
          help="""URL of the original ConvNeXT checkpoint you'd like to convert.""",
      )
      parser.add_argument(
          """--pytorch_dump_folder_path""",
          default=None,
          type=str,
          required=True,
          help="""Path to the output PyTorch model directory.""",
      )
  
      __lowerCamelCase  				=					parser.parse_args()
      convert_convnext_checkpoint(args.checkpoint_url, args.pytorch_dump_folder_path)
style_context: 
  
  
  
  from ..utils import DummyObject, requires_backends
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							str:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Any:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							str:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Dict:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[str]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Dict:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[str]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Any:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[str]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Any:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							str:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							str:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[str]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[str]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Tuple:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							str:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							List[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							str:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Dict:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Optional[Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Union[str, Any]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Any:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							int:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)
  
  
  
  
  
  
  
  class 		_snake_case      (			metaclass=lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   lowerCamelCase_          =			['''tokenizers''']
   def __init__(						self	,    *a	,    **a					)	->							Any:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     requires_backends(self	,    ['''tokenizers''']					)