





"""simple docstring"""




import numpy as np
import qiskit





def 			a_							(				_lowercase			,		_lowercase  ):
						_UpperCamelCase     :   int      =       qiskit.QuantumCircuit(num_qubits + 1  )

						# First, let's deal with the case in which oracle is balanced
						if case == "balanced":
												# First generate a random number that tells us which CNOTs to
												# wrap in X-gates:
												_UpperCamelCase     :   List[str]      =       np.random.randint(1			,		2**num_qubits  )
												# Next, format 'b' as a binary string of length 'n', padded with zeros:
												_UpperCamelCase     :   int      =       format(_lowercase			,		F"""0{num_qubits}b"""  )
												# Next, we place the first X-gates. Each digit in our binary string
												# corresponds to a qubit, if the digit is 0, we do nothing, if it's 1
												# we apply an X-gate to that qubit:
												for index, bit in enumerate(_lowercase  ):
																		if bit == "1":
																								oracle_qc.x(_lowercase  )
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
												for index in range(_lowercase  ):
																		oracle_qc.cx(_lowercase			,		_lowercase  )
												# Next, place the final X-gates
												for index, bit in enumerate(_lowercase  ):
																		if bit == "1":
																								oracle_qc.x(_lowercase  )

    # Case in which oracle is constant
						if case == "constant":
												# First decide what the fixed output of the oracle will be
												# (either always 0 or always 1)
												_UpperCamelCase     :   str      =       np.random.randint(2  )
												if output == 1:
																		oracle_qc.x(_lowercase  )

						_UpperCamelCase     :   Union[str, Any]      =       oracle_qc.to_gate()
						_UpperCamelCase     :   Dict      =       '''Oracle'''  # To show when we display the circuit
						return oracle_gate





def 			a_							(				_lowercase			,		_lowercase  ):
						_UpperCamelCase     :   Union[str, Any]      =       qiskit.QuantumCircuit(num_qubits + 1			,		_lowercase  )
						# Set up the output qubit:
						dj_circuit.x(_lowercase  )
						dj_circuit.h(_lowercase  )
						# And set up the input register:
						for qubit in range(_lowercase  ):
												dj_circuit.h(_lowercase  )
						# Let's append the oracle gate to our circuit:
						dj_circuit.append(_lowercase			,		range(num_qubits + 1  )  )
						# Finally, perform the H-gates again and measure:
						for qubit in range(_lowercase  ):
												dj_circuit.h(_lowercase  )

						for i in range(_lowercase  ):
												dj_circuit.measure(_lowercase			,		_lowercase  )

						return dj_circuit





def 			a_							(				_lowercase			,		_lowercase  ):
						_UpperCamelCase     :   str      =       qiskit.Aer.get_backend('''aer_simulator'''  )

						_UpperCamelCase     :   Tuple      =       dj_oracle(_lowercase			,		_lowercase  )
						_UpperCamelCase     :   Optional[Any]      =       dj_algorithm(_lowercase			,		_lowercase  )

						# Execute the circuit on the simulator
						_UpperCamelCase     :   Dict      =       qiskit.execute(_lowercase			,		_lowercase			,		shots=1000  )

						# Return the histogram data of the results of the experiment.
						return job.result().get_counts(_lowercase  )


if __name__ == "__main__":
						print(F"Deutsch Jozsa - Constant Oracle: {deutsch_jozsa('constant', 3)}")
						print(F"Deutsch Jozsa - Balanced Oracle: {deutsch_jozsa('balanced', 3)}")










"""simple docstring"""




import os

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

UpperCamelCase_	 ={"""UserAgent""": UserAgent().random}
UpperCamelCase_	 ="""https://www.mywaifulist.moe/random"""





def 			a_							(				_lowercase			,		_lowercase  ):
						_UpperCamelCase     :   Optional[Any]      =       requests.get(_lowercase			,		headers=_lowercase  )
						with open(_lowercase			,		'''wb'''  ) as file:
												file.write(image.content  )





def 			a_							(				):
						_UpperCamelCase     :   Union[str, Any]      =       BeautifulSoup(requests.get(_lowercase			,		headers=_lowercase  ).text			,		'''html.parser'''  )
						_UpperCamelCase     :   List[str]      =       soup.find('''meta'''			,		attrs={'''property''': '''og:title'''}  ).attrs['''content''']
						_UpperCamelCase     :   Optional[int]      =       soup.find('''meta'''			,		attrs={'''property''': '''og:image'''}  ).attrs['''content''']
						_UpperCamelCase     :   Any      =       soup.find('''p'''			,		id='''description'''  ).get_text()
						_UpperCamelCase  ,				_UpperCamelCase     :   Optional[int]      =       os.path.splitext(os.path.basename(_lowercase  )  )
						_UpperCamelCase     :   Dict      =       title.strip().replace(''' '''			,		'''_'''  )
						_UpperCamelCase     :   str      =       F"""{image_title}{image_extension}"""
						save_image(_lowercase			,		_lowercase  )
						return (title, description, image_title)


if __name__ == "__main__":
						UpperCamelCase_ ,      UpperCamelCase_ ,      UpperCamelCase_	 =random_anime_character()
						print(F"{title}\n\n{desc}\n\nImage saved : {image_title}")



