




import sys

from transformers import AutoTokenizer


_UpperCamelCase   :							str     =	sys.argv[1]
_UpperCamelCase   :							Tuple     =	sys.argv[2]
_UpperCamelCase   :							Any     =	int(sys.argv[3])

_UpperCamelCase   :							Tuple     =	0

_UpperCamelCase   :							Tuple     =	AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, """rt""") as f_p:
    for line in f_p:
        _UpperCamelCase   :							Dict     =	line.rstrip()

        if not line:
            print(line)
            _UpperCamelCase   :							Dict     =	0
            continue

        _UpperCamelCase   :							Any     =	line.split()[0]

        _UpperCamelCase   :							Dict     =	len(tokenizer.tokenize(token))

        # Token contains strange control characters like \x96 or \x95
        # Just filter out the complete line
        if current_subwords_len == 0:
            continue

        if (subword_len_counter + current_subwords_len) > max_len:
            print("""""")
            print(line)
            _UpperCamelCase   :							Any     =	current_subwords_len
            continue

        subword_len_counter += current_subwords_len

        print(line)








from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCamelCase   :							Dict     =	logging.get_logger(__name__)

_UpperCamelCase   :							Optional[int]     =	{
    """MCG-NJU/videomae-base""": """https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json""",
}







class 						_lowerCAmelCase(						_a):

  """simple docstring"""







  lowerCamelCase__      					=   '''videomae'''

  def __init__( self  ,    UpperCAmelCase=2_24  ,    UpperCAmelCase=16  ,    UpperCAmelCase=3  ,    UpperCAmelCase=16  ,    UpperCAmelCase=2  ,    UpperCAmelCase=7_68  ,    UpperCAmelCase=12  ,    UpperCAmelCase=12  ,    UpperCAmelCase=30_72  ,    UpperCAmelCase="gelu"  ,    UpperCAmelCase=0.0  ,    UpperCAmelCase=0.0  ,    UpperCAmelCase=0.02  ,    UpperCAmelCase=1e-12  ,    UpperCAmelCase=True  ,    UpperCAmelCase=True  ,    UpperCAmelCase=6  ,    UpperCAmelCase=3_84  ,    UpperCAmelCase=4  ,    UpperCAmelCase=15_36  ,    UpperCAmelCase=True  ,    **UpperCAmelCase  ,    )-> Any:
     super().__init__(**UpperCAmelCase     )

     __A				 =       image_size
     __A				 =       patch_size
     __A				 =       num_channels
     __A				 =       num_frames
     __A				 =       tubelet_size

     __A				 =       hidden_size
     __A				 =       num_hidden_layers
     __A				 =       num_attention_heads
     __A				 =       intermediate_size
     __A				 =       hidden_act
     __A				 =       hidden_dropout_prob
     __A				 =       attention_probs_dropout_prob
     __A				 =       initializer_range
     __A				 =       layer_norm_eps
     __A				 =       qkv_bias
     __A				 =       use_mean_pooling

     __A				 =       decoder_num_attention_heads
     __A				 =       decoder_hidden_size
     __A				 =       decoder_num_hidden_layers
     __A				 =       decoder_intermediate_size
     __A				 =       norm_pix_loss

