






def __A    (      __lowerCAmelCase	)->  bool:





						"""simple docstring"""



						if not all(x.isalpha() for x in string	):
												raise ValueError('String must only contain alphabetic characters.'	)

						_UpperCAmelCase									=			sorted(string.lower()	)
						return len(__lowerCAmelCase	) == len(set(__lowerCAmelCase	)	)


if __name__ == "__main__":
		_a      	=  input('''Enter a string ''').strip()

		_a      	=  is_isogram(input_str)
		print(F'''{input_str} is {'an' if isogram else 'not an'} isogram.''')








from collections import OrderedDict
from typing import Mapping

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


_a      	=  logging.get_logger(__name__)

_a      	=  {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	UpperCamelCase__								=      "distilbert"
	UpperCamelCase__								=      {
	    "hidden_size": "dim",
	    "num_attention_heads": "n_heads",
	    "num_hidden_layers": "n_layers",
	}

	def __init__(							self       ,    UpperCAmelCase=3_0522       ,    UpperCAmelCase=512       ,    UpperCAmelCase=False       ,    UpperCAmelCase=6       ,    UpperCAmelCase=12       ,    UpperCAmelCase=768       ,    UpperCAmelCase=4 * 768       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase="gelu"       ,    UpperCAmelCase=0.02       ,    UpperCAmelCase=0.1       ,    UpperCAmelCase=0.2       ,    UpperCAmelCase=0       ,    **UpperCAmelCase       ,    ):
							"""simple docstring"""







							_UpperCAmelCase									=			vocab_size
							_UpperCAmelCase									=			max_position_embeddings
							_UpperCAmelCase									=			sinusoidal_pos_embds
							_UpperCAmelCase									=			n_layers
							_UpperCAmelCase									=			n_heads
							_UpperCAmelCase									=			dim
							_UpperCAmelCase									=			hidden_dim
							_UpperCAmelCase									=			dropout
							_UpperCAmelCase									=			attention_dropout
							_UpperCAmelCase									=			activation
							_UpperCAmelCase									=			initializer_range
							_UpperCAmelCase									=			qa_dropout
							_UpperCAmelCase									=			seq_classif_dropout
							super().__init__(**UpperCAmelCase       ,    pad_token_id=UpperCAmelCase    )





class __lowerCamelCase (      snake_case__):





	"""simple docstring"""






	@property
	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							if self.task == "multiple-choice":
													_UpperCAmelCase									=			{0: 'batch', 1: 'choice', 2: 'sequence'}
							else:
													_UpperCAmelCase									=			{0: 'batch', 1: 'sequence'}
							return OrderedDict(
							    [
							        ('input_ids', dynamic_axis),
							        ('attention_mask', dynamic_axis),
							    ]    )
