def measure2(dtype0):
tmp = numpy.repeat(numpy.datetime64(datetime.now(), dtype0), int(1e7))
start_time = datetime.now()
result = qip.execute(hdl, '{0N!x}', tmp)
time_elapsed = datetime.now() - start_time
isSame = abs((result - tmp).astype(int)) < 1000
print('Time elapsed for {} : {} : {} '.format(str(tmp.dtype.name),
time_elapsed, isSame.any()))
def measure1(dtype0):
tmp = numpy.linspace(1, int(1e7), int(1e7), dtype=dtype0)
start_time = datetime.now()
result = qip.execute(hdl, '{0N!x}', tmp)
time_elapsed = datetime.now() - start_time
isSame = result == tmp
print('Time elapsed for {} : {} : {}'.format(str(dtype0), time_elapsed,
isSame.any()))
def measure4():
tmp = [
str(num)
for num in numpy.linspace(1., 100., int(1e1), dtype=numpy.float)
]
tmp = numpy.array(tmp)
start_time = datetime.now()
result = qip.execute(hdl, '{0N!x}', tmp)
time_elapsed = datetime.now() - start_time
isSame = result == tmp
print('Time elapsed for {} : {} : {} '.format("str_", time_elapsed,
isSame.any()))
import os
from shutil import copyfile
os.getcwd()
copyfile('..\\x64\\Release\\qip.dll', 'qip.pyd')
import numpy, pandas, uuid
import qip
hdl = qip.open_connection(8888)
atoms = qip.execute(hdl, 'atoms')
fatoms = qip.execute(hdl, 'flip atoms')
t = atoms[['name', 'data']]
t['from_kdb'] = [
qip.execute(hdl, '{x}', row['data']) for _, row in t.iterrows()
]
t['isSame'] = t['data'] == t['from_kdb']
print("Number of error: {}".format(len(t[~t['isSame']])))
t = atoms[['name', 'ldata']]
t