def test_direct_load_aixACCT_hysteresis_data():
RTfreqDir = join(sampledir, 'RTWhiteB_freqs')
RTfreqFiles = hd.dir_read(RTfreqDir)
RTfreqData = hd.list_read(RTfreqFiles, thickness=255E-7, area=1e-4)
directreaddict = aix.read_tfdata(join(sampledir, 'RTWhiteB_freqs.dat'))
directFreqData = aix.load_tfdata(directreaddict)
assert all(elem in directFreqData for elem in RTfreqData)
def test_direct_load_aixACCT_leakage_data():
RTlkgDir = join(sampledir, 'RTWhiteB_lkg')
RTlkgFiles = hd.dir_read(RTlkgDir)
lkglist = []
for i in RTlkgFiles:
l = hd.LeakageData(thickness=255E-7, area=1e-4)
l.lcm_read(i)
lkglist.append(l)
directreaddict = aix.read_tfdata(join(sampledir, 'RTWHITEB_lkg.dat'))
directlkgData = aix.load_tfdata(directreaddict)
print(all(elem in directlkgData for elem in lkglist))
assert all(elem in directlkgData for elem in lkglist)
# %% [markdown] pycharm={"name": "#%% md\n"}
# To see a quick overview of the measurement without inspecting each property, it is also possible to print the object
# directly:
# %% pycharm={"name": "#%%\n"}
print(data)
# %% [markdown]
# To import a number of individual tsv measurement tables at once, ferro also provides dir_read and list_read functions
# for hysteresisData. `dir_read()` will return a list of files in a directory, which can be passed to `list_read()`, which
# will return a list of hysteresisData objects. If a list of both DHM and IV data is passed, `list_read()` will attempt
# leakage current compensation of the hysteresis data, matching a leakage measurement by temperature.
# %% pycharm={"name": "#%%\n"}
templkgfiles = hd.dir_read(templkgdir)
pp.pprint(templkgfiles)
# %% pycharm={"name": "#%%\n"}
tempfiles = hd.dir_read(tempdir)
tempData = hd.list_read(tempfiles, templkgfiles)
pp.pprint(tempData)
# %% [markdown] pycharm={"name": "#%% md\n"}
# ## aixACCT import
#
# Native import for DynamicHysteresisResult amd LeakageResult data from aixACCT .dat ASCII export files is also supported.
# This corresponds to DHM and Leakage measurements (if you are not sure of measurement type, open the .dat file in a
# text editor and look at the first line).
#
# The direct read in happens in two parts. The first half, `read_tfdata()`, parses the data text file and loads
else:
root_folder = dirname(realpath(__file__))
DATA_ROOT = join(root_folder, "tests", "testData")
freqdir = join(DATA_ROOT, r"hfo2_MFM", "H9_x9y4_1e4_freq")
tempdir = join(DATA_ROOT, r"hfo2_MFM", "H9_x9y4_1e4_S3_temps")
templkgdir = join(DATA_ROOT, r"hfo2_MFM", "H9_x9y4_1e4_S3_tempslkg")
forcFile = join(DATA_ROOT, r"hfo2_MFM", "H9_x9y4_1e4_forc",
"H9 die (9,4) 0Hz 4V 1Average Table1.tsv")
# %% [markdown] pycharm={"name": "#%% md\n"}
#
# %% pycharm={"name": "#%%\n"}
templkgfiles = hd.dir_read(templkgdir)
print(templkgfiles)
# %% pycharm={"name": "#%%\n"}
tempfiles = hd.dir_read(tempdir)
tempData = hd.list_read(tempfiles, templkgfiles)
print(tempData)
# %% pycharm={"name": "#%%\n"}
freqfiles = hd.dir_read(freqdir)
freqData = hd.list_read(freqfiles)
print(freqData)
# %% pycharm={"name": "#%%\n"}
hfo2 = lf.LandauFull(thickness=13E-7, area=6579E-8)
cCompData = freqData[0]