





from __future__ import annotations

def       A__(		__lowerCAmelCase	,			__lowerCAmelCase ):
				if nth_term == "":
								return [""]
				_snake_case :			int  						=   int(__lowerCAmelCase )
				_snake_case :			Union[str, Any]  						=   int(__lowerCAmelCase )
				_snake_case :			list[str]  						=   []
				for temp in range(int(__lowerCAmelCase ) ):
								series.append(F'''1 / {pow(temp + 1	,			int(__lowerCAmelCase ) )}''' if series else '1' )
				return series


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowercase_		:				Dict				=						int(input('''Enter the last number (nth term) of the P-Series'''))
		lowercase_		:				List[str]				=						int(input('''Enter the power for  P-Series'''))
		print('''Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p''')
		print(p_series(nth_term, power))













lowercase_		:				Tuple				=						'''
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

lowercase_		:				Optional[int]				=						[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
lowercase_		:				str				=						{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}






