def testRWSeparatorDetection(self):
"Read and write with automatic separator detection"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N)) + 1j * (1 - 2 * scipy.rand(N, N))
# comma separated values
file_data_store("test.dat", data, "complex", "exp", ",")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# semicolon separated values
file_data_store("test.dat", data, "complex", "exp", ";")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# tab separated values
file_data_store("test.dat", data, "complex", "exp", "\t")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# space separated values
file_data_store("test.dat", data, "complex", "exp", " ")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
# mixed-whitespace separated values
file_data_store("test.dat", data, "complex", "exp", " \t ")
data2 = file_data_read("test.dat")
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def case(self, filename, kwargs):
data = 1 - 2 * np.random.rand(_dimension, _dimension)
if kwargs.get('numtype', 'complex') == 'complex':
data = data * (0.5 * 0.5j)
qutip.file_data_store(filename, data, **kwargs)
out = qutip.file_data_read(filename)
np.testing.assert_allclose(data, out, atol=1e-8)
def testRWComplexDecimal(self):
"Read and write complex valued decimal formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N)) + 1j * (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data, "complex", "decimal")
data2 = file_data_read("test.dat", ",")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def testRWRealExp(self):
"Read and write real valued exp formatted data"
# create some random data
N = 10
data = (1 - 2 * scipy.rand(N, N))
file_data_store("test.dat", data, "real", "exp")
data2 = file_data_read("test.dat", ",")
# make sure the deviation is small:
assert_(amax(abs((data - data2))) < 1e-8)
os.remove("test.dat")
def load_obj(filename, path):
# grab the sole pickled python object from path directory
# WARNING - returns None if the file does not exist! Use with caution
# default return for no object found: "None"
with cd(path):
# Loading qobjs
if ".qt" in filename:
try:
obj = qt.file_data_read(filename, sep=",")
except FileNotFoundError:
return None
return qt.Qobj(obj)
# in the case of anything NOT qobj, I would like not to use their unpacking method
else:
try:
obj = json.load(open(filename))
return obj
except IOError:
return None
print('Calculate echoed CR gate')
print('|psi0> = |00>')
result_down = \
np.array(qt.parallel_map(CR_echo, tlist_echo, task_args=(psidown,),
progress_bar=True)).T
print('|psi0> = |10>')
result_up = \
np.array(qt.parallel_map(CR_echo, tlist_echo, task_args=(psiup,),
progress_bar=True)).T
print('Finished')
# Save result to file
print('Save data')
data = np.vstack((tlist_echo, result_down, result_up))
qt.file_data_store('CR2.dat', data, numtype='real')
# %% Plot results
data = qt.file_data_read('CR0.dat')
tlist = data[0]
result_down = data[1:7]
result_up = data[7:13]
plt.close('all')
plt.figure(1)
plt.subplot(211)
plt.plot(tlist, np.real(result_down[4]), tlist, np.real(result_up[4]))
plt.ylabel(r'$\langle\sigma_2^y\rangle$')
plt.legend(
[r'$|\psi_0\rangle=|00\rangle$', r'$|\psi_0\rangle=|10\rangle$'])
plt.title('Simple CR gate')
plt.subplot(212)
plt.plot(tlist, np.real(result_down[5]), tlist, np.real(result_up[5]))
plt.xlabel(r'Time ($\mu$s)')
