

'''simple docstring'''
from arguments import InitializationArguments

from transformers import AutoConfig, AutoModelForCausalLM, AutoTokenizer, HfArgumentParser


# Configuration
_snake_case         =  HfArgumentParser(InitializationArguments)
_snake_case         =  parser.parse_args()

# Load codeparrot tokenizer trained for Python code tokenization
_snake_case         =  AutoTokenizer.from_pretrained(args.tokenizer_name)

# Config: "scale_attn_by_layer_idx" and "reorder_and_upcast_attn" are Mistral stability tweaks
_snake_case         =  {
    'vocab_size': len(tokenizer),
    'scale_attn_by_inverse_layer_idx': True,
    'reorder_and_upcast_attn': True,
}

# Load model config (GPT-2 large in this case)
_snake_case         =  AutoConfig.from_pretrained(args.config_name, **config_kwargs)

# Initialize new model with config
_snake_case         =  AutoModelForCausalLM.from_config(config)

# Save model to the hub
model.save_pretrained(args.model_name, push_to_hub=args.push_to_hub)









'''simple docstring'''
from timeit import timeit







def  _A		(     snake_case					)      ->     int:
   if number < 0:
      raise ValueError("the value of input must not be negative"					)
   _lowercase      :				Union[str, Any]      					=       0
   while number:
      number &= number - 1
      result += 1
   return result







def  _A		(     snake_case					)      ->     int:
   if number < 0:
      raise ValueError("the value of input must not be negative"					)
   _lowercase      :				int      					=       0
   while number:
      if number % 2 == 1:
         result += 1
      number >>= 1
   return result







def  _A		(     )      ->     None:

   def do_benchmark(snake_case					) -> None:
      _lowercase      :				Optional[int]      					=       "import __main__ as z"
      print(F'''Benchmark when {number = }:'''					)
      print(F'''{get_set_bits_count_using_modulo_operator(snake_case					) = }'''					)
      _lowercase      :				int      					=       timeit("z.get_set_bits_count_using_modulo_operator(25)"		,							setup=snake_case					)
      print(F'''timeit() runs in {timing} seconds'''					)
      print(F'''{get_set_bits_count_using_brian_kernighans_algorithm(snake_case					) = }'''					)
      _lowercase      :				Optional[int]      					=       timeit(
          "z.get_set_bits_count_using_brian_kernighans_algorithm(25)"		,							setup=snake_case		,							)
      print(F'''timeit() runs in {timing} seconds'''					)

   for number in (25, 37, 58, 0):
      do_benchmark(snake_case					)
      print()


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    benchmark()






