


"""simple docstring"""







import math

import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute




def   UpperCAmelCase__			(lowerCAmelCase_ = 3  ):




					'''simple docstring'''


					if isinstance(_a    ,		_a  ):
										raise TypeError("number of qubits must be a integer."  )
					if number_of_qubits <= 0:
										raise ValueError("number of qubits must be > 0."  )
					if math.floor(_a  ) != number_of_qubits:
										raise ValueError("number of qubits must be exact integer."  )
					if number_of_qubits > 10:
										raise ValueError("number of qubits too large to simulate(>10)."  )

					__SCREAMING_SNAKE_CASE		  =							QuantumRegister(_a    ,		"qr"  )
					__SCREAMING_SNAKE_CASE		  =							ClassicalRegister(_a    ,		"cr"  )

					__SCREAMING_SNAKE_CASE		  =							QuantumCircuit(_a    ,		_a  )

					__SCREAMING_SNAKE_CASE		  =							number_of_qubits

					for i in range(_a  ):
										quantum_circuit.h(number_of_qubits - i - 1  )
										counter -= 1
										for j in range(_a  ):
															quantum_circuit.cp(np.pi / 2 ** (counter - j)    ,		_a    ,		_a  )

					for k in range(number_of_qubits // 2  ):
										quantum_circuit.swap(_a    ,		number_of_qubits - k - 1  )

					# measure all the qubits
					quantum_circuit.measure(_a    ,		_a  )
					# simulate with 10000 shots
					__SCREAMING_SNAKE_CASE		  =							Aer.get_backend("qasm_simulator"  )
					__SCREAMING_SNAKE_CASE		  =							execute(_a    ,		_a    ,		shots=1_0000  )

					return job.result().get_counts(_a  )


if __name__ == "__main__":
		print(
		    F"Total count for quantum fourier transform state is: \\n    {quantum_fourier_transform(3)}"
		)



"""simple docstring"""


import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase													=get_tests_dir("fixtures/test_sentencepiece_bpe.model")





class lowerCamelCase__   (				SCREAMING_SNAKE_CASE     ,   unittest.TestCase    ):



    '''simple docstring'''




    _lowerCamelCase					=   BartphoTokenizer
    _lowerCamelCase					=   False
    _lowerCamelCase					=   True




    def UpperCamelCase__		( self    )    ->      str:
          super().setUp()

          A				  =		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
          A				  =		dict(zip(lowerCamelCase_ ,range(len(lowerCamelCase_    )    )    )    )
          A				  =		{"""unk_token""": """<unk>"""}

          A				  =		os.path.join(self.tmpdirname ,VOCAB_FILES_NAMES["""monolingual_vocab_file"""]    )
          with open(self.monolingual_vocab_file ,"""w""" ,encoding="""utf-8"""    ) as fp:
                for token in vocab_tokens:
                      fp.write(f'{token} {vocab_tokens[token]}\n'    )

          A				  =		BartphoTokenizer(lowerCamelCase_ ,self.monolingual_vocab_file ,**self.special_tokens_map    )
          tokenizer.save_pretrained(self.tmpdirname    )




    def UpperCamelCase__		( self ,**lowerCamelCase_    )    ->      Tuple:
          kwargs.update(self.special_tokens_map    )
          return BartphoTokenizer.from_pretrained(self.tmpdirname ,**lowerCamelCase_    )




    def UpperCamelCase__		( self ,lowerCamelCase_    )    ->      Optional[Any]:
          A				  =		"""This is a là test"""
          A				  =		"""This is a<unk><unk> test"""
          return input_text, output_text




    def UpperCamelCase__		( self    )    ->      int:
          A				  =		BartphoTokenizer(lowerCamelCase_ ,self.monolingual_vocab_file ,**self.special_tokens_map    )
          A				  =		"""This is a là test"""
          A				  =		"""▁This ▁is ▁a ▁l à ▁t est""".split()
          A				  =		tokenizer.tokenize(lowerCamelCase_    )
          self.assertListEqual(lowerCamelCase_ ,lowerCamelCase_    )

          A				  =		tokens + [tokenizer.unk_token]
          A				  =		[4, 5, 6, 3, 3, 7, 8, 3]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_    ) ,lowerCamelCase_    )




