code: 
  
  
  import numpy as np
  import qiskit
  def 							_UpperCAmelCase       (UpperCamelCase__  :						str       ,							UpperCamelCase__  :						int		):
         _A   : Optional[Any]       					=				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:
                _A   : List[Any]       					=				np.random.randint(1       ,							2**num_qubits		)
                # Next, format 'b' as a binary string of length 'n', padded with zeros:
                _A   : Any       					=				format(UpperCamelCase__       ,							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(UpperCamelCase__		):
                       if bit == "1":
                              oracle_qc.x(UpperCamelCase__		)
          # Do the controlled-NOT gates for each qubit, using the output qubit
          # as the target:
                for index in range(UpperCamelCase__		):
                       oracle_qc.cx(UpperCamelCase__       ,							UpperCamelCase__		)
                # Next, place the final X-gates
                for index, bit in enumerate(UpperCamelCase__		):
                       if bit == "1":
                              oracle_qc.x(UpperCamelCase__		)
  
      # 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)
                _A   : Optional[int]       					=				np.random.randint(2		)
                if output == 1:
                       oracle_qc.x(UpperCamelCase__		)
  
         _A   : int       					=				oracle_qc.to_gate()
         _A   : int       					=				"Oracle"  # To show when we display the circuit
         return oracle_gate
  def 							_UpperCAmelCase       (UpperCamelCase__  :						qiskit.QuantumCircuit       ,							UpperCamelCase__  :						int		):
         _A   : str       					=				qiskit.QuantumCircuit(num_qubits + 1       ,							UpperCamelCase__		)
         # Set up the output qubit:
         dj_circuit.x(UpperCamelCase__		)
         dj_circuit.h(UpperCamelCase__		)
         # And set up the input register:
         for qubit in range(UpperCamelCase__		):
                dj_circuit.h(UpperCamelCase__		)
         # Let's append the oracle gate to our circuit:
         dj_circuit.append(UpperCamelCase__       ,							range(num_qubits + 1		)		)
         # Finally, perform the H-gates again and measure:
         for qubit in range(UpperCamelCase__		):
                dj_circuit.h(UpperCamelCase__		)
  
         for i in range(UpperCamelCase__		):
                dj_circuit.measure(UpperCamelCase__       ,							UpperCamelCase__		)
  
         return dj_circuit
  def 							_UpperCAmelCase       (UpperCamelCase__  :						str       ,							UpperCamelCase__  :						int		):
         _A   : Tuple       					=				qiskit.Aer.get_backend("aer_simulator"		)
  
         _A   : Union[str, Any]       					=				dj_oracle(UpperCamelCase__       ,							UpperCamelCase__		)
         _A   : Optional[Any]       					=				dj_algorithm(UpperCamelCase__       ,							UpperCamelCase__		)
  
         # Execute the circuit on the simulator
         _A   : Any       					=				qiskit.execute(UpperCamelCase__       ,							UpperCamelCase__       ,							shots=1000		)
  
         # Return the histogram data of the results of the experiment.
         return job.result().get_counts(UpperCamelCase__		)
  
  
  if __name__ == "__main__":
      print(f"Deutsch Jozsa - Constant Oracle: {deutsch_jozsa('constant', 3)}")
      print(f"Deutsch Jozsa - Balanced Oracle: {deutsch_jozsa('balanced', 3)}")
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowerCAmelCase__   	=				{'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}
  
  try:
      if not is_vision_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				['DetrFeatureExtractor']
      lowerCAmelCase__   	=				['DetrImageProcessor']
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				[
          'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
          'DetrForObjectDetection',
          'DetrForSegmentation',
          'DetrModel',
          'DetrPreTrainedModel',
      ]
  
  
  if TYPE_CHECKING:
      from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig
  
      try:
          if not is_vision_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .feature_extraction_detr import DetrFeatureExtractor
          from .image_processing_detr import DetrImageProcessor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_detr import (
              DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
              DetrForObjectDetection,
              DetrForSegmentation,
              DetrModel,
              DetrPreTrainedModel,
          )
  
  else:
      import sys
  
      lowerCAmelCase__   	=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  