def _loadFromFileSystem(self):
self.touchStones = skrf.read_all(self.connectionsDirectory)
self.metadata.read(self.qualificationDirectory + "/metadata.txt")
self.startMoment = datetime.datetime.strptime(
self.metadata.get("operation", "startmoment"), "%Y-%m-%dT%H:%M:%S.%f"
)
self.endMoment = datetime.datetime.strptime(self.metadata.get("operation", "endmoment"), "%Y-%m-%dT%H:%M:%S.%f")
def test_read_all_files(self):
rf.read_all(files=self.test_files)
def test_read_all(self):
rf.read_all(self.test_dir)
# waveguide = rf.RectangularWaveguide(frequency = dict_o_ntwks[0].frequency, a = a0, b = b0, ep_r = 3.45, nports =1)
# left= waveguide.line(5E-3, 'm')
# right = left
# alpha = np.zeros((len(dut_corrected.f), 256), dtype = complex)
# for ii in range(256):
# temp =dict_o_ntwks['trl_corrected_voltage_indx_' + str(ii)]
# temp.z0 = waveguide.z0
# element = left.inv ** temp ** right.inv
# alpha_temp = -a0*b0*(1+element.s[:,0,0]-element.s[:,1,0])/waveguide.k0
# alpha[:,ii] = alpha_temp/np.amax(np.abs(alpha_temp))
# # set up subplot grid
#%%
dict_o_ntwks = rf.read_all(set_data_folder, contains = '.s2p')
a0 = 14E-3
b0 = 0.762E-3
first_ntwk = dict_o_ntwks['trl_corrected_voltage_indx_0']
waveguide = rf.RectangularWaveguide(frequency = first_ntwk.frequency,
a = a0,
b = b0,
ep_r = 3.45,
nports =2,
)
left= waveguide.line(5E-3, 'm')
right = left
alpha = np.zeros((len(first_ntwk.f), 256), dtype = complex)
for ii in range(256):
def test_read_all(self):
rf.read_all(self.test_dir)
spotf = 1e9
# import dc data taken during sparameter measurements
dcfile = dutname + '_DC.csv'
df = pd.read_csv(rf.data.pwd + '/' + dcfile)
# add column for fT/fmax data
df['FT'] = ""
# set line / marker styles
if sim_string_id in dutname:
sym = '-'
s_or_m = 'Simu'
else:
sym = 'o'
s_or_m = 'Meas'
# Read all the rf data in the directory
npn_data = rf.read_all(rf.data.pwd)
npn_ns = rf.NetworkSet(npn_data)
for rfnw in npn_ns:
dev = mdl.rfnpn(rfnw)
if sim_string_id in dutname:
pass
else:
dev = dev.d4s() # Perform 4 step deembedding
h21 = dev.h21()
fT = np.absolute(h21[np.where(dev.f == spotf)]) * spotf # calculate ft
# extract bias info from dev name. Needs to be modified based on naming scheme.
vbs = re.findall("VB_\d*\.?\d*", dev.name)
vbs = re.findall("\d*\.?\d*", str(vbs))
# find first nonempty string in list
