


import os

import numpy
import onnx




def        snake_case_					(  snake_case      ,							snake_case					)  ->    int:
       lowercase__:       Optional[Any]        =       a.name
       lowercase__:       int        =       b.name

       lowercase__:       Union[str, Any]        =       ''
       lowercase__:       int        =       ''

       lowercase__:       List[str]        =       a == b

       lowercase__:       int        =       name_a
       lowercase__:       Any        =       name_b

       return res




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case					)  ->    Optional[Any]:
       for i, input_name in enumerate(node_proto.input					):
              if input_name == name:
                     node_proto.input.insert(snake_case      ,							snake_case					)
                     node_proto.input.pop(i + 1					)

       if node_proto.op_type == "If":
              _graph_replace_input_with(node_proto.attribute[0].g      ,							snake_case      ,							snake_case					)
              _graph_replace_input_with(node_proto.attribute[1].g      ,							snake_case      ,							snake_case					)
       if node_proto.op_type == "Loop":
              _graph_replace_input_with(node_proto.attribute[0].g      ,							snake_case      ,							snake_case					)




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case					)  ->    List[Any]:
       for n in graph_proto.node:
              _node_replace_input_with(snake_case      ,							snake_case      ,							snake_case					)




def        snake_case_					(  snake_case      ,							snake_case      ,							snake_case					)  ->    List[Any]:
       lowercase__:       List[str]        =       list(model.graph.initializer					)
       lowercase__:       Union[str, Any]        =       list(model_without_ext.graph.initializer					)
       for i, ref_i in ind_to_replace:
              assert inits_with_data[i].name == inits[i].name
              assert inits_with_data[ref_i].name == inits[ref_i].name
              assert i > ref_i

              lowercase__:       int        =       inits[i].name
              lowercase__:       Optional[Any]        =       inits[ref_i].name

              model_without_ext.graph.initializer.remove(inits[i]					)

              # for n in model.graph.node:
              _graph_replace_input_with(model_without_ext.graph      ,							snake_case      ,							snake_case					)




def        snake_case_					(  snake_case					)  ->    Tuple:
       lowercase__:       Optional[Any]        =       os.path.dirname(snake_case					)
       lowercase__:       Optional[int]        =       os.path.basename(snake_case					)

       lowercase__:       List[str]        =       onnx.load(os.path.join(snake_case      ,							snake_case					)					)

       lowercase__:       Any        =       list(model.graph.initializer					)

       lowercase__:       Optional[int]        =       set()
       lowercase__:       List[Any]        =       {}
       lowercase__:       Union[str, Any]        =       []

       lowercase__:       str        =       0

       for i in range(len(snake_case					)					):
              if i in dup_set:
                     continue

              for j in range(i + 1      ,							len(snake_case					)					):
                     if j in dup_set:
                            continue
                     if _is_equal_tensor_proto(inits[i]      ,							inits[j]					):
                            dup_set.add(snake_case					)
                            dup_set.add(snake_case					)

                            lowercase__:       Tuple        =       inits[j].data_type
                            lowercase__:       Any        =       numpy.prod(inits[j].dims					)
                            if dtype == 1:
                                   mem_size *= 4
                            elif dtype == 6:
                                   mem_size *= 4
                            elif dtype == 7 or dtype == 11:
                                   mem_size *= 8
                            else:
                                   print('unexpected data type: '      ,							snake_case					)
                            total_reduced_size += mem_size

                            lowercase__:       str        =       inits[i].name
                            lowercase__:       str        =       inits[j].name

                            if name_i in dup_map:
                                   dup_map[name_i].append(snake_case					)
                            else:
                                   lowercase__:       Tuple        =       [name_j]
                            ind_to_replace.append((j, i)					)

       print('total reduced size: '      ,							total_reduced_size / 10_24 / 10_24 / 10_24      ,							'GB'					)

       lowercase__:       Dict        =       sorted(snake_case					)
       _remove_dup_initializers_from_model(snake_case      ,							snake_case      ,							snake_case					)

       lowercase__:       str        =       'optimized_' + model_file_name
       lowercase__:       Optional[Any]        =       os.path.join(snake_case      ,							snake_case					)
       onnx.save(snake_case      ,							snake_case					)

       return new_model






import math

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




def        snake_case_					(  snake_case = 3					)  ->    qiskit.result.counts.Counts:
       if isinstance(snake_case      ,							snake_case					):
              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(snake_case					) != 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).'					)

       lowercase__:       str        =       QuantumRegister(snake_case      ,							'qr'					)
       lowercase__:       str        =       ClassicalRegister(snake_case      ,							'cr'					)

       lowercase__:       List[Any]        =       QuantumCircuit(snake_case      ,							snake_case					)

       lowercase__:       int        =       number_of_qubits

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

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

       # measure all the qubits
       quantum_circuit.measure(snake_case      ,							snake_case					)
       # simulate with 10000 shots
       lowercase__:       str        =       Aer.get_backend('qasm_simulator'					)
       lowercase__:       Union[str, Any]        =       execute(snake_case      ,							snake_case      ,							shots=1_00_00					)

       return job.result().get_counts(snake_case					)


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


