
'''simple docstring'''





import numpy as np
import qiskit







def snake_case_    (				lowercase__      ,					lowercase__		):
  UpperCAmelCase__			:				Dict												=       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__			:				Tuple												=       np.random.randint(1      ,					2**num_qubits		)
    # Next, format 'b' as a binary string of length 'n', padded with zeros:
    UpperCAmelCase__			:				Any												=       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__			:				Optional[int]												=       np.random.randint(2		)
    if output == 1:
      oracle_qc.x(lowercase__		)

  UpperCAmelCase__			:				str												=       oracle_qc.to_gate()
  UpperCAmelCase__			:				Optional[int]												=       "Oracle"  # To show when we display the circuit
  return oracle_gate







def snake_case_    (				lowercase__      ,					lowercase__		):
  UpperCAmelCase__			:				Optional[int]												=       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 snake_case_    (				lowercase__      ,					lowercase__		):
  UpperCAmelCase__			:				int												=       qiskit.Aer.get_backend("aer_simulator"		)

  UpperCAmelCase__			:				Union[str, Any]												=       dj_oracle(lowercase__      ,					lowercase__		)
  UpperCAmelCase__			:				Union[str, Any]												=       dj_algorithm(lowercase__      ,					lowercase__		)

  # Execute the circuit on the simulator
  UpperCAmelCase__			:				Dict												=       qiskit.execute(lowercase__      ,					lowercase__      ,					shots=1_0_0_0		)

  # 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'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE    =					{
    """configuration_donut_swin""": ["""DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DonutSwinConfig"""],
    """processing_donut""": ["""DonutProcessor"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE    =					[
          """DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """DonutSwinModel""",
          """DonutSwinPreTrainedModel""",
      ]

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      SCREAMING_SNAKE_CASE    =					["""DonutFeatureExtractor"""]
      SCREAMING_SNAKE_CASE    =					["""DonutImageProcessor"""]


if TYPE_CHECKING:
      from .configuration_donut_swin import DONUT_SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, DonutSwinConfig
      from .processing_donut import DonutProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_donut_swin import (
                DONUT_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
                DonutSwinModel,
                DonutSwinPreTrainedModel,
            )

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_donut import DonutFeatureExtractor
            from .image_processing_donut import DonutImageProcessor

else:
      import sys

      SCREAMING_SNAKE_CASE    =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



