def get_ser_result(task_id):
"""Get the result of the function.
"""
fxc = FuncXClient(funcx_service_address='https://dev.funcx.org/api/v1')
res = fxc.get(f"/tasks/{task_id}")
print(res)
return res
#hello_function = fxc.register_function(matrix)
ress = np.dot(mat1, mat2)
#end1 = time.time()
#registertime = ((end1 - start1) * 1000)
#print("The register time is:", registertime)
start2 = time.time()
# res = fxc.run(items, endpoint_id='7601789e-8569-413f-be3e-e573d04c5799', function_id=sum_function)
res = fxc.run(ress,
endpoint_id='2e3061ea-ef19-4cbb-bc81-82f8cc47baa9',
function_id=hello_function)
end2 = time.time()
runtime = ((end2 - start2) * 1000)
print("The runtime is:", runtime)
# get the raw json response
start = time.time()
result = fxc.get(f"tasks/{res}")
while result['status'] != 'success':
time.sleep(1)
result = fxc.get(f"tasks/{res}")
completion_time = result['completion_t']
exec_time = (float(completion_time) - start) * 1000
print("The function execution time is:", exec_time)
# add the result to the list
estimate.append(exec_time) #overhead.append(Overheadtime)
sheet.write(index, 0, exec_time3)
sheet.write(index, 1, registertime)
sheet.write(index, 2, runtime)
sheet.write(index, 3, exec_time)
index += 1
book.save('Latencyreadingsforcomplex1.csv')