




'''simple docstring'''







def 		snake_case_							(_a			:							int  ):
    UpperCAmelCase     =	int(_a  )
    if n_element < 1:
        UpperCAmelCase     =	ValueError('''a should be a positive number'''  )
        raise my_error

    UpperCAmelCase     =	[1]
    UpperCAmelCase ,  UpperCAmelCase ,  UpperCAmelCase     =	(0, 0, 0)
    UpperCAmelCase     =	1
    while index < n_element:
        while hamming_list[i] * 2 <= hamming_list[-1]:
            i += 1
        while hamming_list[j] * 3 <= hamming_list[-1]:
            j += 1
        while hamming_list[k] * 5 <= hamming_list[-1]:
            k += 1
        hamming_list.append(
            min(hamming_list[i] * 2					,     hamming_list[j] * 3					,     hamming_list[k] * 5  )  )
        index += 1
    return hamming_list


if __name__ == "__main__":
   A									=input('Enter the last number (nth term) of the Hamming Number Series: ')
   print('Formula of Hamming Number Series => 2^i * 3^j * 5^k')
   A									=hamming(int(n))
   print('-----------------------------------------------------')
   print(f"""The list with nth numbers is: {hamming_numbers}""")
   print('-----------------------------------------------------')










'''simple docstring'''







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


A									=logging.get_logger(__name__)

A									={
    'alibaba-damo/mgp-str-base': 'https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json',
}


class     _a						(			__a				):
       __a       :  List[Any]            =      """mgp-str"""
       def __init__(			self		:			str     ,       lowercase		:			str=[32, 128]     ,       lowercase		:			Optional[Any]=4     ,       lowercase		:			Optional[Any]=3     ,       lowercase		:			Dict=27     ,       lowercase		:			Any=38     ,       lowercase		:			int=50_257     ,       lowercase		:			List[str]=30_522     ,       lowercase		:			Optional[int]=768     ,       lowercase		:			List[Any]=12     ,       lowercase		:			Tuple=12     ,       lowercase		:			Optional[int]=4.0     ,       lowercase		:			Union[str, Any]=True     ,       lowercase		:			str=False     ,       lowercase		:			str=1E-5     ,       lowercase		:			Dict=0.0     ,       lowercase		:			Dict=0.0     ,       lowercase		:			Tuple=0.0     ,       lowercase		:			str=False     ,       lowercase		:			Optional[Any]=0.02     ,       **lowercase		:			List[str]     ,       ):



           '''simple docstring'''

           super().__init__(**lowercase       )

           UpperCAmelCase     =	image_size
           UpperCAmelCase     =	patch_size
           UpperCAmelCase     =	num_channels
           UpperCAmelCase     =	max_token_length
           UpperCAmelCase     =	num_character_labels
           UpperCAmelCase     =	num_bpe_labels
           UpperCAmelCase     =	num_wordpiece_labels
           UpperCAmelCase     =	hidden_size
           UpperCAmelCase     =	num_hidden_layers
           UpperCAmelCase     =	num_attention_heads
           UpperCAmelCase     =	mlp_ratio
           UpperCAmelCase     =	distilled
           UpperCAmelCase     =	layer_norm_eps
           UpperCAmelCase     =	drop_rate
           UpperCAmelCase     =	qkv_bias
           UpperCAmelCase     =	attn_drop_rate
           UpperCAmelCase     =	drop_path_rate
           UpperCAmelCase     =	output_aa_attentions
           UpperCAmelCase     =	initializer_range




