#import sys
#import time
import numpy as np
import matplotlib.pyplot as plt
from qiskit_ibm_runtime import QiskitRuntimeService, Sampler
from qiskit.visualization.timeline import draw
from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager


tok="xxx"
crn="crn:v1:bluemix:public:quantum-computing:us-east:xxx"
#jobid="czcrv3wqadq0008cnqrg"
service = QiskitRuntimeService(channel="ibm_cloud",instance=crn,token=tok)  
device_name="ibm_fez"
backend= service.backend(device_name)
print(service.active_account())
print(*service.backends())
qc1=QuantumCircuit(1,2)
qc1.sx(0)
qc1.sx(0)
qc1.measure(0,0)
qc1.measure(0,1)
qc2=QuantumCircuit(1,2)
qc2.sx(0)
qc2.measure(0,0)
qc2.sx(0)
qc2.measure(0,1)
qc3=QuantumCircuit(1,2)
qc3.sx(0)
qc3.measure(0,0)
with qc3.if_test((0,0)) as one:
        qc3.sx(0)
with one:
        qc3.x(0)
qc3.sx(0)
qc3.measure(0,1)
fig=qc1.draw("mpl")
fig.savefig("c1.pdf")
fig=qc2.draw("mpl")
fig.savefig("c2.pdf")
fig=qc3.draw("mpl")
fig.savefig("c3.pdf")
#pm = generate_preset_pass_manager(backend=backend,optimization_level=0)
#isa=pm.run([qc1,qc2,qc3])
#fig=schedule(isa[2],backend).draw()
#fig.savefig("sch3if.pdf")
fig=draw(qc3,target=backend.target,idle_wires=False)
fig.savefig("sch3if.pdf")
backend = AerSimulator()
sampler = Sampler(backend)
#sampler.options.execution.meas_type='kerneled'

#
#
job=sampler.run([qc1,qc2,qc3], shots=1000)
#job=service.job(jobid)
print(job.job_id())
result=job.result()
for r in result:
	print("------------")
	a=r.data.c.get_counts()
	print(a)