def test_1(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimSweep("g", 4)
dims = (fi,)
d["a"] = hfarray([1, 2, 3], dims=dims,
outputformat="%.5f", unit="V")
d["b"] = hfarray([10, 20, 30], dims=dims,
outputformat="%.7f", unit="A")
d["c"] = hfarray([10, 20, 30, 40], dims=(gi,),
outputformat="%.7f", unit="A")
w = d.filter(d["Freq[Hz]"] <= 1)
self.assertEqual(id(d.comments), id(w.comments))
self.assertEqual(w["Freq[Hz]"].dims, (DimSweep("Freq[Hz]", 2),))
self.assertEqual(w.a.dims, (DimSweep("Freq[Hz]", 2),))
self.assertEqual(w.b.dims, (DimSweep("Freq[Hz]", 2),))
self.assertEqual(w.c.dims, (DimSweep("g", 4),))
self.assertAllclose(w["Freq[Hz]"], [0, 1])
self.assertAllclose(w.a, [1, 2])
self.assertAllclose(w.b, [10, 20])
self.assertAllclose(w.c, [10, 20, 30, 40])
self.assertEqual(w.a.unit, "V")
self.assertEqual(w.b.unit, "A")
self.assertEqual(w.c.unit, "A")
class Test_replace_dim(TestCase):
def setUp(self):
self.d = DataBlock()
self.fi = DimSweep("Freq", 3)
self.gi = DimSweep("g", 4)
self.hi = DimSweep("h", 4)
self.d["Vds"] = hfarray([1, 2, 3], dims=(self.fi,))
self.d["Id"] = hfarray([1, 2, 3, 4], dims=(self.gi,))
def test_error_1(self):
self.assertRaises(KeyError, self.d.replace_dim, self.hi, self.fi)
def test_error_2(self):
self.assertRaises(KeyError,
self.d.replace_dim, "nonexisting-dim", self.fi)
def test_1(self):
self.d.replace_dim("g", self.hi)
self.assertTrue(self.hi not in self.d["Vds"].dims)
self.assertTrue(self.hi in self.d["Id"].dims)
def test_2(self):
self.d.replace_dim("g", DimRep)
self.assertIsInstance(self.d.Id.dims[0], DimRep)
self.assertEqual(self.d.Id.dims[0].name, "g")
def test_8(self):
d = DataBlock()
d.b = hfarray([2], dims=(DimSweep("a", 1),))
fname = testpath / "testdata/hdf5/v02/savetest/res_8.hdf5"
with h5py.File(fname, mode="w") as fil:
self.savefun[0](d, fil)
fname.unlink()
def test_none(self):
db = DataBlock()
db.x = hfarray(1)
fname = testpath / "testdata/hdf5/v02/slask.hdf5"
savefun(db, fname)
db = readfun(fname)
self.assertIsNone(db.blockname)
fname.unlink()
def test_4(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dim = DimSweep("f", 3, outputformat="%.1f")
d.freq = dim
fname = testpath / "testdata/hdf5/v02/savetest/res_4.hdf5"
self.savefun[0](d, fname)
fname.unlink()
def test_normalize_names_3(self):
db = DataBlock()
db.b = hfarray(1)
db["a1/a2 raw"] = hfarray(1)
db["a12"] = hfarray(2)
res = common.normalize_names(db)
self.assertTrue("a1/a2 raw" in res.vardata)
self.assertTrue("a12" in res.vardata)
def test_2(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
# import pdb;pdb.set_trace()
d.b = hfarray([2], dims=(DimSweep("a", 1),))
fname = testpath / "testdata/hdf5/v02/savetest/res_2.hdf5"
self.savefun[0](d, fname)
fname.unlink()
def test1(self):
a = DataBlock()
a.i = DimSweep("i", [1, 2, 3])
def funk(a):
dims = (DimSweep("i", [1]), DimSweep("j", [1]))
a.i = hfarray([[1]], dims=dims)
self.assertRaises(AttributeError, funk, a)
def test_10(self):
d = DataBlock()
d.blockname = "Foo"
d.b = hfarray([2], dims=(DimSweep("a", 1), ), unit="V")
fname = testpath / "testdata/hdf5/v01/savetest/res_10.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.blockname, "Foo")
fname.unlink()
def test_9(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
d.b = hfarray([2], dims=(DimSweep("a", 1), ), unit="V")
fname = testpath / "testdata/hdf5/v01/savetest/res_9.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.b.unit, "V")
fname.unlink()
def test_intersection_2(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", [10, 20, 30, 40, 50])
gi = DimSweep("g", 4)
dims = (fi, gi)
d["a"] = hfarray([[1, 2, 3, 4]] * 5, dims=dims,
outputformat="%.5f", unit="V")
x = DimSweep("Freq[Hz]", [20, 40])
dres = d.filter(hfarray(x))
self.assertAllclose(dres["Freq[Hz]"], [20, 40])
def test_setitem_1(self):
a = DataBlock()
a.l = DimSweep("l", [.1, .2, .3])
self.assertAllclose(a.l, [.1, .2, .3])
self.assertAllclose(a.xvalue, [.1, .2, .3])
self.assertEqual(a.xname, "l")
a.w = DimSweep("w", [1.1, 1.2, 1.3])
self.assertAllclose(a.w, [1.1, 1.2, 1.3])
self.assertAllclose(a.xvalue, [.1, .2, .3])
self.assertEqual(a.xname, "l")
def read_hdf5_handle(filehandle, **kw):
if isinstance(filehandle, h5py.File):
db = DataBlock()
for k in filehandle:
if "dimtype" not in filehandle[k].attrs:
db[k] = getvar(filehandle, k)
db.comments = Comments()
return db
else:
raise IOError("filehandle should be a h5py File, is: %r" % filehandle)
def proc_info(info, f, data, fn, noisedata):
info_list = info.upper().split()
if len(info_list) == 5:
info = freq_mult, twoporttype, datatype, rtype, z0 = info_list
elif len(info_list) == 3:
info = freq_mult, twoporttype, datatype = info_list
z0 = 1.
else:
msg = ("# format should only have 5 values this one has %d" %
len(info_list))
raise TouchstoneError(msg)
z0 = float(z0)
f = f * freqmultdict[freq_mult]
if fn is not None:
fn = fn * freqmultdict[freq_mult]
convfunc = dict(RI=re_im_to_complex,
DB=dB_angle_to_complex,
MA=mag_angle_to_complex)
if datatype not in convfunc:
pars = datatype
msg = "Unknown dataformat: %s, valid formats: RI, DB, MAG" % pars
raise TouchstoneError(msg)
out = np.empty((data.shape[0], data.shape[1] // 2), dtype=np.complex128)
out[...] = convfunc[datatype](data[:, ::2], data[:, 1::2])
if out.shape[1] == 1:
out.shape = (out.shape[0], 1, 1)
elif out.shape[1] == 4:
out.shape = (out.shape[0], 2, 2)
out = out.transpose(0, 2, 1)
else:
N = int(sqrt(out.shape[1]))
out.shape = (out.shape[0], N, N)
dims = (DimSweep("freq", f, unit="Hz"), )
if fn is not None and len(f) == len(fn) and np.allclose(f, fn):
noisedims = dims
elif fn is None:
noisedims = None
else:
noisedims = (DimSweep("freqn", fn, unit="Hz"), )
out = make_matrix(out, dims)
f = hfarray(f, dims)
db = DataBlock()
db[info[1]] = out
if noisedata is not None:
db.Rn = hfarray(noisedata[..., -1], dims=noisedims) * z0
db.Fmin = 10 ** (hfarray(noisedata[..., 0], dims=noisedims) / 10)
db.Gopt = hfarray(convfunc[datatype](noisedata[:, 1], noisedata[:, 2]),
dims=noisedims)
db.Z0 = hfarray(z0, unit="Ohm")
return db
def merge_blocks(blocks, hyper=False, indexed=False):
db = DataBlock()
dimpartialgroups = OrderedDict()
for b in blocks:
parts = get_partials(b)
partgroup = dimpartialgroups.setdefault(tuple(parts.keys()), {})
for k, v in parts.items():
partgroup.setdefault(k, []).extend(v)
for idx, dims in enumerate(dimpartialgroups.values(), 1):
for k, v in dims.items():
dims = (DimSweep("INDEX%s" % idx, len(v)),)
db[k] = hfarray([x.data[0] for x in v],
dims=dims, unit=v[0].unit)
varnames = set()
for b in blocks:
for k, v in b.ivardata.items():
if k not in db:
db[k] = v
for k in b.vardata.keys():
varnames.add(k)
for vname in varnames:
v = []
for b in blocks:
if vname not in b:
continue
partials = get_partials(b)
v.append(b[vname])
if v:
k = tuple(partials.keys())
if k:
ri = (db[tuple(dimpartialgroups[k].keys())[0]].dims[0],)
else:
ri = tuple()
value = hfarray(v, dims=ri + v[0].dims, unit=v[0].unit)
if v[0].dims and isinstance(v[0].dims[0], DimSweep):
value = value.reorder_dimensions(v[0].dims[0])
db[vname] = value
cmt = Comments()
for block in blocks:
if block.comments:
cmt.extend(block.comments)
db.comments = cmt
db.blockname = blocks[0].blockname
if hyper:
for vnames in dimpartialgroups.keys():
if vnames:
hyperindex = db[vnames[0]].dims[0]
db = db.hyper(vnames, hyperindex, all=True)
db = db.squeeze()
return db
def test_5(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dim = DimSweep("f", 3, outputformat="%.1f")
d.freq = dim
d.date = hfarray("2012-08-13 08:03:01", dtype="datetime64[us]")
fname = testpath / "testdata/hdf5/v02/savetest/res_5.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
fname.unlink()
self.assertEqual(d2.date, d.date)
def test_10(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
# import pdb;pdb.set_trace()
d.b = hfarray([2], dims=(DimSweep("a", 1), ), unit="V")
d.b.outputformat = ""
fname = testpath / "testdata/hdf5/v02/savetest/res_10.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.b.outputformat, "%d")
fname.unlink()
def test_1(self):
d = DataBlock()
d.b = hfarray([2], dims=(DimSweep("a", 1),))
f1 = testpath / "testdata/sp-data/savetest/res_1.txt"
f2 = testpath / "testdata/sp-data/savetest/facit_1.txt"
hftools.file_formats.spdata.save_spdata(d, f1)
with open(f1) as resfil:
with open(f2) as facitfil:
for idx, (rad1, rad2) in enumerate(zip(resfil, facitfil)):
msg = "\nFailed on line %d\n result: %r\n facit: %r"
args = (idx + 1, rad1, rad2)
self.assertEqual(rad1, rad2, msg=msg % args)
class Test_DataBlock(TestCase):
def setUp(self):
self.a = DataBlock()
def test_report(self):
self.a.report()
def test_str(self):
self.assertEqual(self.a.report(), str(self.a))
def test_guess_1(self):
self.assertIsNone(self.a.guess_units(False))
def test_1(self):
db = DataBlock()
Sdims = (DimRep("freq", [1, 2]) ,DimRep("r", [1]), DimMatrix_i("i", 2), DimMatrix_j("j", 2))
db.S = hfarray(np.array([[11, 12], [21, 22]])[np.newaxis, np.newaxis, :, :] * np.array([[10], [20]])[..., np.newaxis, np.newaxis], dims=Sdims)
db.V = hfarray([1.23], Sdims[1:2])
db.Y = hfarray([1.23], (DimRep("k", [1]),))
out = dset.subset_datablock_by_dims(dset.convert_matrices_to_elements(db), Sdims[:-2])
self.assertTrue("V" in out)
self.assertTrue("S11" in out)
self.assertTrue("S12" in out)
self.assertTrue("S21" in out)
self.assertTrue("S22" in out)
self.assertFalse("Y" in out)
def test_4(self):
d = DataBlock()
fi = DimSweep("Freq", 3)
gi = DimSweep("g", 4)
d["Vds"] = hfarray([1, 2, 3], dims=(fi,))
d["Id"] = hfarray([1, 2, 3, 4], dims=(gi,))
d.guess_units(["Freq", "Vds", "Ig"])
self.assertEqual(d.Vds.unit, "V")
self.assertAllclose(d.Vds, [1, 2, 3])
self.assertEqual(d.Id.unit, None)
self.assertAllclose(d.Id, [1, 2, 3, 4])
self.assertEqual(d.Freq.unit, "Hz")
def test_2(self):
d = DataBlock()
fi = DimSweep("Freq", 3, unit="m")
gi = DimSweep("g", 4)
d["Vds"] = hfarray([1, 2, 3], dims=(fi,), unit="A")
d["Id"] = hfarray([1, 2, 3, 4], dims=(gi,), unit="V")
d.guess_units()
self.assertEqual(d.Vds.unit, "A")
self.assertAllclose(d.Vds, [1, 2, 3])
self.assertEqual(d.Id.unit, "V")
self.assertAllclose(d.Id, [1, 2, 3, 4])
self.assertEqual(d.Freq.unit, "m")
def test_wrong_version_2(self):
ia = DimSweep("a", 1, unit="")
d1 = DataBlock()
d1.b = hfarray([2], dims=(ia,))
d2 = DataBlock()
d2.b = hfarray([3], dims=(ia,))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
save_hdf5_v01(d1, fil)
self.assertRaises(Exception, append_hdf5, d2, fil)
# append_hdf5(d2, fil)
fname.unlink()
def test_11(self):
ia = DimSweep("a", 1)
d = DataBlock()
d.comments = Comments(["Hej=10"])
# import pdb;pdb.set_trace()
d.b = hfarray([u"kalle"], dims=(ia, ), unit="V")
d.c = hfarray(u"kalle")
fname = testpath / "testdata/hdf5/v02/savetest/res_11.hdf5"
self.savefun[0](d, fname)
d2 = readfun(fname)
self.assertEqual(d2.b[0], u"kalle")
self.assertEqual(d2.c, u"kalle")
fname.unlink()
def test_4(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dim = DimSweep("f", 3, outputformat="%.1f")
d.freq = dim
fname = testpath / "testdata/sp-data/savetest/res_4.txt"
facitfname = testpath / "testdata/sp-data/savetest/facit_4.txt"
hftools.file_formats.spdata.save_spdata(d, fname)
with open(fname) as resfil:
with open(facitfname) as facitfil:
for idx, (rad1, rad2) in enumerate(zip(resfil, facitfil)):
msg = "\nFailed on line %d\n result: %r\n facit: %r"
args = (idx + 1, rad1, rad2)
self.assertEqual(rad1, rad2, msg=msg % args)
def test_1(self):
d = DataBlock()
fi = DimSweep("Freq", 3)
gi = DimSweep("g", 4)
d["Vds"] = hfarray([1, 2, 3], dims=(fi,))
d["Id"] = hfarray([1, 2, 3, 4], dims=(gi,))
d.guess_units()
d.values_from_property()
self.assertEqual(d.Vds.unit, "V")
self.assertAllclose(d.Vds, [1, 2, 3])
self.assertEqual(d.Id.unit, "A")
self.assertAllclose(d.Id, [1, 2, 3, 4])
self.assertEqual(d.Freq.unit, "Hz")
def test_3(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dims = (DimSweep("f", 3, outputformat="%.1f"),
DimSweep("i", 2, outputformat="%.0f"),
DimSweep("j", 2, outputformat="%.0f"), )
d.c = hfarray([[[1, 2], [3, 4]],
[[10, 20], [30, 40]],
[[10, 20], [30, 40]]],
dims=dims,
outputformat="%.2f")
fname = testpath / "testdata/hdf5/v02/savetest/res_3.hdf5"
self.savefun[0](d, fname)
fname.unlink()
def test_cant_append(self):
i1 = DimSweep("a", 1, unit="s", outputformat="")
i2 = DimSweep("INDEX", 2, unit="s")
iexpand = DimRep("INDEX", 1, unit="s", outputformat="")
d1 = DataBlock()
d1.b = hfarray([2], dims=(i1,), outputformat="")
d1.c = hfarray(3)
d2 = DataBlock()
d2.b = hfarray([3], dims=(i1,))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
savefun(d1, fil, expandable=True, expanddim=iexpand)
self.assertRaises(ValueError, append_hdf5, d2, fil)
fname.unlink()
def test_1(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimSweep("P[W]", 3)
dims = (fi,)
dims2 = (fi, gi)
d["f"] = hfarray([[1, 2, 3]] * 3, dims=dims2, outputformat="%.5f")
d["P"] = hfarray([10, 20, 30], dims=dims, outputformat="%.7f")
self.assertEqual(d["f"].outputformat, "%.5f")
self.assertEqual(d["P"].outputformat, "%.7f")
d.outputformat = "%.9f"
for v in d.ivardata.values():
self.assertEqual(v.outputformat, "%.9f")
for v in d.vardata.values():
self.assertEqual(v.outputformat, "%.9f")
def test_5(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dim = DimSweep("f", 3, outputformat="%.1f")
d.freq = dim
fname = testpath / "testdata/sp-data/savetest/res_5.txt"
facitfname = testpath / "testdata/sp-data/savetest/facit_5.txt"
with open(fname, "w") as fil:
hftools.file_formats.spdata.save_spdata(d, fil)
with open(fname) as resfil:
with open(facitfname) as facitfil:
for idx, (rad1, rad2) in enumerate(zip(resfil, facitfil)):
msg = "\nFailed on line %d\n result: %r\n facit: %r"
args = (idx + 1, rad1, rad2)
self.assertEqual(rad1, rad2, msg=msg % args)
def test_intersection_1(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", [10, 20, 30, 40, 50])
gi = DimSweep("g", 4)
dims = (fi, gi)
d["a"] = hfarray([[1, 2, 3, 4]] * 5, dims=dims,
outputformat="%.5f", unit="V")
x = DimSweep("Freq", [20, 40])
reset_hftools_warnings()
self.assertHFToolsWarning(d.filter, hfarray(x))
with warnings.catch_warnings() as log:
warnings.resetwarnings()
warnings.simplefilter("ignore", HFToolsWarning)
d.filter(hfarray(x))
reset_hftools_warnings()
def test_3(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dims = (
DimSweep("f", 3, outputformat="%.1f"),
DimSweep("i", 2, outputformat="%.0f"),
DimSweep("j", 2, outputformat="%.0f"),
)
d.c = hfarray(
[[[1, 2], [3, 4]], [[10, 20], [30, 40]], [[10, 20], [30, 40]]],
dims=dims,
outputformat="%.2f")
fname = testpath / "testdata/hdf5/v01/savetest/res_3.hdf5"
self.savefun[0](d, fname)
fname.unlink()
def test_1(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimSweep("P[W]", 3)
dims = (fi, )
dims2 = (fi, gi)
d["f"] = hfarray([[1, 2, 3]] * 3, dims=dims2, outputformat="%.5f")
d["P"] = hfarray([10, 20, 30], dims=dims, outputformat="%.7f")
self.assertEqual(d["f"].outputformat, "%.5f")
self.assertEqual(d["P"].outputformat, "%.7f")
d.outputformat = "%.9f"
for v in d.ivardata.values():
self.assertEqual(v.outputformat, "%.9f")
for v in d.vardata.values():
self.assertEqual(v.outputformat, "%.9f")
def test_error(self):
fi = DimSweep("freq", [
1,
])
db = DataBlock()
self.assertRaises(ValueError, dset.subset_datablock_by_dims, db,
(fi, fi))
def setUp(self):
self.d = DataBlock()
self.d.P = VA([0.5, -.3, .5])
Sdims = (DimMatrix_i("i", 2), DimMatrix_j("j", 2))
self.d.S = VA([[11, 12], [21, 22]], dims=Sdims)
Wdims = (DimSweep("g", 1), DimMatrix_i("i", 2), DimMatrix_j("j", 2))
self.d.W = VA([[[11, 12], [21, 22]]], dims=Wdims)
def db_iterator(indb, fmt_block_generator):
datablock = {}
used_ivars = set()
for vname in indb.vardata.keys():
if ismatrix(indb.vardata[vname]):
dimsnames = get_dims_names(*indb[vname].dims)[:-2]
names = get_dims_names(*indb[vname].dims)[-2:]
used_ivars = used_ivars.union(names)
else:
dimsnames = get_dims_names(*indb[vname].dims)
q = datablock.setdefault(dimsnames, DataBlock())
if q.comments is None:
q.comments = indb.comments
q[vname] = indb[vname]
q[vname].outputformat = indb[vname].outputformat
#
#Collect dangling ivars
#
for names in datablock.keys():
used_ivars = used_ivars.union(names)
for vname in set(indb.ivardata).difference(used_ivars):
q = datablock.setdefault((vname, ), DataBlock())
if q.comments is None:
q.comments = Comments()
q[vname] = indb.ivardata[vname]
first = True
#Handle block with scalar data first
dbs = []
if tuple() in datablock:
dbs.append(datablock.pop(tuple()))
for v in datablock.values():
dbs.append(v)
for db in dbs:
for block_content in make_block_iterator(db, first):
if first:
first = False
else:
yield []
for rad in fmt_block_generator(*block_content):
yield rad
def test_intersection_1(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", [10, 20, 30, 40, 50])
gi = DimSweep("g", 4)
dims = (fi, gi)
d["a"] = hfarray([[1, 2, 3, 4]] * 5,
dims=dims,
outputformat="%.5f",
unit="V")
x = DimSweep("Freq", [20, 40])
reset_hftools_warnings()
self.assertHFToolsWarning(d.filter, hfarray(x))
with warnings.catch_warnings() as log:
warnings.resetwarnings()
warnings.simplefilter("ignore", HFToolsWarning)
d.filter(hfarray(x))
reset_hftools_warnings()
def test_5(self):
d = DataBlock()
d.comments = Comments([
"Vgs=13", "Ig=14", "Datetime=2011-10-11 20:11:02", "Vds=-13",
"Calibration=SOLT"
])
fi = DimSweep("Freq", 3)
gi = DimSweep("g", 4)
d["Vds"] = hfarray([1, 2, 3], dims=(fi, ))
d["Id"] = hfarray([1, 2, 3, 4], dims=(gi, ))
d.comments.property["Ig"].unit = "mA"
d.guess_units()
d.values_from_property()
self.assertEqual(d.Vds.unit, "V")
self.assertAllclose(d.Vds, [1, 2, 3])
self.assertEqual(d.Id.unit, "A")
self.assertAllclose(d.Id, [1, 2, 3, 4])
self.assertEqual(d.Freq.unit, "Hz")
self.assertEqual(d.comments.property["Vgs"].unit, "V")
self.assertEqual(d.comments.property["Ig"].unit, "mA")
self.assertEqual(d.Ig, 14)
self.assertEqual(d.Vgs, 13)
self.assertEqual(d.Ig.unit, "mA")
self.assertEqual(d.Vgs.unit, "V")
self.assertTrue("Datetime" in d.allvarnames)
def test_1(self):
db = DataBlock()
Sdims = (DimRep("freq", [1, 2]), DimRep("r", [1]), DimMatrix_i("i", 2),
DimMatrix_j("j", 2))
db.S = hfarray(
np.array([[11, 12], [21, 22]])[np.newaxis, np.newaxis, :, :] *
np.array([[10], [20]])[..., np.newaxis, np.newaxis],
dims=Sdims)
db.V = hfarray([1.23], Sdims[1:2])
db.Y = hfarray([1.23], (DimRep("k", [1]), ))
out = dset.subset_datablock_by_dims(
dset.convert_matrices_to_elements(db), Sdims[:-2])
self.assertTrue("V" in out)
self.assertTrue("S11" in out)
self.assertTrue("S12" in out)
self.assertTrue("S21" in out)
self.assertTrue("S22" in out)
self.assertFalse("Y" in out)
def setUp(self):
self.db = db = DataBlock()
Sdims = (DimRep("freq", [1, 2]), DimRep("r", [1]), DimMatrix_i("i", 2),
DimMatrix_j("j", 2))
db.S = hfarray(np.array([[11, 12], [21, 22]])[None, None, :, :] *
np.array([[10], [20]])[..., None, None],
dims=Sdims)
db.V = hfarray([1.23], Sdims[1:2])
db.Y = hfarray([1.23], (DimRep("k", [1]), ))
def parse_blocks(self, stream):
for comments, header, data in stream:
db = DataBlock()
db.comments = Comments(comments)
header = header[0].strip().split("\t")
Nhead = len(header)
#data = np.array(data)
if Nhead != len(data[0]):
msg = "Different number of header variables "\
"from data columns"
raise SPDataIOError(msg)
output = DataDict()
for varname, column in zip(header, zip(*data)):
output.setdefault(varname, []).append(column)
for varname in output:
data = output[varname]
if len(data) > 1:
output[varname] = np.array(output[varname], order="F").T
else:
output[varname] = np.array(output[varname][0])
freq = DimSweep(header[0], output[header[0]])
db[header[0]] = freq
for x in output.keys()[1:]:
if output[x].ndim == 1:
db[x] = hfarray(output[x], dims=(freq, ))
else:
repdim = DimRep("rep", output[x].shape[1])
db[x] = hfarray(output[x], dims=(freq, repdim)).squeeze()
remove = []
for vname in db.comments.property:
if vname[:1] == "@":
unit = db.comments.property[vname].unit
data = [float(db.comments.property[vname])]
db[vname[1:]] = DimPartial(vname[1:], data=data, unit=unit)
remove.append(vname)
for v in remove:
del db.comments.property[v]
db.comments.fullcomments = [
com for com in db.comments.fullcomments
if not com.startswith("@")
]
yield db
def test_2(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimSweep("g", 4)
dims = (fi, gi)
d["a"] = hfarray([[1, 2, 3]] * 4,
dims=dims,
outputformat="%.5f",
unit="V")
self.assertRaises(ValueError, d.filter, d.a < 2)
def parse_blocks(self, stream):
for comments, vars, blockname, header, attribs, data in stream:
db = DataBlock()
db.blockname = blockname = blockname[0]
#self.header = header = header[0]
db.comments = Comments(comments)
#data = numpy.array(data)
dd = self.proc_data(header, data[:])
for vname in dd:
db[vname] = dd[vname]
for var in vars:
vi = self.proc_var(var)
db[vi.name] = vi
for var in attribs:
name, value = self.proc_attrib(var)
db[name] = value
self.make_matrices(db, sum(header, []))
yield db
def test_2(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimSweep("P[W]", 3)
dims = (fi, )
dims2 = (fi, gi)
dims3 = (gi, )
d["f"] = hfarray([[1, 2, 3]] * 3, dims=dims2)
d["P[W]"] = hfarray([10, 20, 30], dims=dims)
self.assertEqual(d.allvarnames, ["Freq[Hz]", "P[W]", "f"])
self.assertAllclose(d["P[W]"], [10, 20, 30])
def setUp(self):
self.db = db = DataBlock()
fi = DimSweep("freq", [1e9, 2e9, 3e9, 4e9], unit="Hz")
db.y = hfarray([1, 2, 3, 4], dims=(fi, ), unit="V")
db.z = hfarray([1, 2, 3, 4 + 0j], dims=(fi, ), unit="Ohm")
self.fig = plt.figure(1)
self.ax = plt.subplot(111, projection=self.proj)
self.lines = plt.plot(self.db.y)
self.outpath = p = path(basepath / "savetest")
if not p.exists(): # pragma: no cover
p.makedirs()
def test_3(self):
d = DataBlock()
d.comments = Comments(["Hej=10", "Svejs=11"])
dims = (
DimSweep("f", 3, outputformat="%.1f"),
DimSweep("i", 2, outputformat="%.0f"),
DimSweep("j", 2, outputformat="%.0f"),
)
d.c = hfarray(
[[[1, 2], [3, 4]], [[10, 20], [30, 40]], [[10, 20], [30, 40]]],
dims=dims,
outputformat="%.2f")
f1 = testpath / "testdata/sp-data/savetest/res_3.txt"
f2 = testpath / "testdata/sp-data/savetest/facit_3.txt"
hftools.file_formats.spdata.save_spdata(d, f1)
with open(f1) as resfil:
with open(f2) as facitfil:
for idx, (rad1, rad2) in enumerate(zip(resfil, facitfil)):
msg = "\nFailed on line %d\n result: %r\n facit: %r"
args = (idx + 1, rad1, rad2)
self.assertEqual(rad1, rad2, msg=msg % args)
class Test_interpolate(TestCase):
def setUp(self):
self.d = DataBlock()
f1 = DimSweep("freq", [1e9, 2e9, 3e9, 4e9, 5e9])
self.d.y = hfarray([1., 1.1, 1.2, 1.3, 1.4], dims=(f1, ))
def test_none(self):
fx = DimSweep("freq", [1e9, 5e9])
D = self.d.interpolate(fx)
self.assertAllclose(D.y, hfarray([1., 1.4], dims=(fx, )))
def test_none_2(self):
fx = DimSweep("freq", [1e9, 5e9])
D = self.d.interpolate(hfarray(fx))
self.assertAllclose(D.y, hfarray([1., 1.4], dims=(fx, )))
def test_none_raise(self):
fx = DimSweep("freq", [1.5e9, 5e9])
self.assertRaises(ValueError, self.d.interpolate, fx)
def test_linear(self):
fx = DimSweep("freq", [1e9, 1.5e9])
D = self.d.interpolate(fx, "linear")
self.assertAllclose(D.y, hfarray([1., 1.05], dims=(fx, )))
def test_shape_error(self):
dims = (DimSweep("freq", 2), DimSweep("power", 3))
x = hfarray(np.zeros((2, 3), ), dims=dims)
self.assertRaises(ValueError, self.d.interpolate, x)
def test_no_interp(self):
"""No dimension to interpolate"""
fx = DimSweep("Vds", [1e9, 5e9])
D = self.d.interpolate(fx)
self.assertAllclose(D.y, self.d.y)
def test_unknown_mode(self):
x = DimSweep("freq", 2)
self.assertRaises(ValueError, self.d.interpolate, x, "unknown")
def simple_merge_blocks(blocks):
if len(blocks) == 1:
return blocks[0]
ri = DimRep("INDEX", len(blocks))
out = DataBlock()
#import pdb;pdb.set_trace()
for k in blocks[0].vardata:
out[k] = hfarray([b[k] for b in blocks],
dims=(ri, ) + blocks[0][k].dims)
if blocks[0][k].dims:
out[k] = out[k].reorder_dimensions(blocks[0][k].dims[0])
for k in blocks[0].ivardata:
if isinstance(blocks[0].ivardata[k], DimPartial):
out[k] = hfarray([b.ivardata[k].data[0] for b in blocks],
dims=(ri, ))
c = []
for b in blocks:
if b.comments is not None:
c.extend(b.comments.fullcomments)
out.comments = Comments()
out.comments.fullcomments = c
return out
def setUp(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimRep("g", 2)
hi = DimRep("h", 3)
ji = DimRep("j", 4)
dims = (fi, )
d["a"] = hfarray([3, 2, 1], dims=dims, outputformat="%.5f", unit="V")
d["b"] = hfarray([30, 10], dims=(gi, ), outputformat="%.7f", unit="A")
d["c"] = hfarray([[30, 20, 10, 40], [20, 30, 40, 10]],
dims=(gi, hi),
outputformat="%.7f",
unit="A")
self.d = d
def test_2(self):
d = DataBlock()
d.comments = Comments(["Vg=10"])
fi = DimSweep("freq", [0e9, 1e9, 2e9], outputformat="%15.2f")
dims = (
fi,
DimMatrix_i("i", 2),
DimMatrix_j("j", 2),
)
d.S = hfarray([[[1 + 1j, 1 + 2j], [2 + 1j, 2 + 2j]]] * 3,
dims=dims,
outputformat="%.3f")
filename = testpath / "testdata/touchstone/savetest/res_2.txt"
hftools.file_formats.touchstone.save_touchstone(d, filename)
resfilename = testpath / "testdata/touchstone/savetest/res_2.txt"
facitfilename = testpath / "testdata/touchstone/savetest/facit_2.txt"
with open(resfilename) as resfil:
with open(facitfilename) as facitfil:
for idx, (rad1, rad2) in enumerate(zip(resfil, facitfil)):
msg = ("\nFailed on line %d\n result: %r\n facit: %r" %
(idx + 1, rad1, rad2))
self.assertEqual(rad1, rad2, msg=msg)
def test_view_1(self):
d = DataBlock()
d.comments = Comments(["Hej=10"])
fi = DimSweep("Freq[Hz]", 3)
dims = (fi, )
d["a"] = hfarray([1, 2, 3], dims=dims, outputformat="%.5f", unit="V")
d["b"] = hfarray([10, 20, 30],
dims=dims,
outputformat="%.7f",
unit="A")
c = d.view()
self.assertEqual(c.allvarnames, d.allvarnames)
self.assertEqual(c.vardata.keys(), d.vardata.keys())
self.assertEqual(c.ivardata.keys(), d.ivardata.keys())
self.assertAllclose(c["Freq[Hz]"], d["Freq[Hz]"])
self.assertAllclose(c.a, d.a)
self.assertAllclose(c.b, d.b)
self.assertTrue(id(d.comments) == id(c.comments))
c.a[0] = 7
c.b[0] = 7
self.assertAllclose(c.a, [7, 2, 3])
self.assertAllclose(c.b, [7, 20, 30])
self.assertAllclose(d.a, [7, 2, 3])
self.assertAllclose(d.b, [7, 20, 30])
def setUp(self):
d = DataBlock()
fi = DimSweep("Freq[Hz]", 3)
gi = DimSweep("g", 4)
dims = (fi, )
d["a"] = hfarray([3, 2, 1], dims=dims, outputformat="%.5f", unit="V")
d["b"] = hfarray([30, 10, 20],
dims=dims,
outputformat="%.7f",
unit="A")
d["c"] = hfarray([30, 20, 10, 40],
dims=(gi, ),
outputformat="%.7f",
unit="A")
d["ac"] = d.a * d.c
self.d = d
def proc_info(info, f, data, fn, noisedata):
info_list = info.upper().split()
if len(info_list) == 5:
info = freq_mult, twoporttype, datatype, rtype, z0 = info_list
elif len(info_list) == 3:
info = freq_mult, twoporttype, datatype = info_list
z0 = 1.
else:
msg = ("# format should only have 5 values this one has %d" %
len(info_list))
raise TouchstoneError(msg)
z0 = float(z0)
f = f * freqmultdict[freq_mult]
if fn is not None:
fn = fn * freqmultdict[freq_mult]
convfunc = dict(RI=re_im_to_complex,
DB=dB_angle_to_complex,
MA=mag_angle_to_complex)
if datatype not in convfunc:
pars = datatype
msg = "Unknown dataformat: %s, valid formats: RI, DB, MAG" % pars
raise TouchstoneError(msg)
out = np.empty((data.shape[0], data.shape[1] // 2), dtype=np.complex128)
out[...] = convfunc[datatype](data[:, ::2], data[:, 1::2])
if out.shape[1] == 1:
out.shape = (out.shape[0], 1, 1)
elif out.shape[1] == 4:
out.shape = (out.shape[0], 2, 2)
out = out.transpose(0, 2, 1)
else:
N = int(sqrt(out.shape[1]))
out.shape = (out.shape[0], N, N)
dims = (DimSweep("freq", f, unit="Hz"), )
if fn is not None and len(f) == len(fn) and np.allclose(f, fn):
noisedims = dims
elif fn is None:
noisedims = None
else:
noisedims = (DimSweep("freqn", fn, unit="Hz"), )
out = make_matrix(out, dims)
f = hfarray(f, dims)
db = DataBlock()
db[info[1]] = out
if noisedata is not None:
db.Rn = hfarray(noisedata[..., -1], dims=noisedims) * z0
db.Fmin = 10**(hfarray(noisedata[..., 0], dims=noisedims) / 10)
db.Gopt = hfarray(convfunc[datatype](noisedata[:, 1], noisedata[:, 2]),
dims=noisedims)
db.Z0 = hfarray(z0, unit="Ohm")
return db
def test_cant_append(self):
i1 = DimSweep("a", 1, unit="s", outputformat="")
i2 = DimSweep("INDEX", 2, unit="s")
iexpand = DimRep("INDEX", 1, unit="s", outputformat="")
d1 = DataBlock()
d1.b = hfarray([2], dims=(i1, ), outputformat="")
d1.c = hfarray(3)
d2 = DataBlock()
d2.b = hfarray([3], dims=(i1, ))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
savefun(d1, fil, expandable=True, expanddim=iexpand)
self.assertRaises(ValueError, append_hdf5, d2, fil)
fname.unlink()
def merge_blocks(blocks, hyper=False, indexed=False):
db = DataBlock()
dimpartialgroups = OrderedDict()
for b in blocks:
parts = get_partials(b)
partgroup = dimpartialgroups.setdefault(tuple(parts.keys()), {})
for k, v in parts.items():
partgroup.setdefault(k, []).extend(v)
for idx, dims in enumerate(dimpartialgroups.values(), 1):
for k, v in dims.items():
dims = (DimSweep("INDEX%s" % idx, len(v)), )
db[k] = hfarray([x.data[0] for x in v], dims=dims, unit=v[0].unit)
varnames = set()
for b in blocks:
for k, v in b.ivardata.items():
if k not in db:
db[k] = v
for k in b.vardata.keys():
varnames.add(k)
for vname in varnames:
v = []
for b in blocks:
if vname not in b:
continue
partials = get_partials(b)
v.append(b[vname])
if v:
k = tuple(partials.keys())
if k:
ri = (db[tuple(dimpartialgroups[k].keys())[0]].dims[0], )
else:
ri = tuple()
value = hfarray(v, dims=ri + v[0].dims, unit=v[0].unit)
if v[0].dims and isinstance(v[0].dims[0], DimSweep):
value = value.reorder_dimensions(v[0].dims[0])
db[vname] = value
cmt = Comments()
for block in blocks:
if block.comments:
cmt.extend(block.comments)
db.comments = cmt
db.blockname = blocks[0].blockname
if hyper:
for vnames in dimpartialgroups.keys():
if vnames:
hyperindex = db[vnames[0]].dims[0]
db = db.hyper(vnames, hyperindex, all=True)
db = db.squeeze()
return db
def build_meas_state(data):
state_names = data["measstate"][0, 0]["props"][0, 0][0]
state_data = data["measstate"][0, 0]["values"][0, 0][0]
d = DataBlock()
for k, v in zip(state_names, state_data):
if k[0] == "Index":
d["Index"] = DimPartial("Index", v[0])
else:
if v[0].ndim == 1:
d[k[0]] = hfarray(make_real(v[0][0]))
else:
d[k[0]] = hfarray(make_real(v[0]))
if d[k[0]].dtype.name.startswith("unicode"):
d[k[0]] = hfarray(np.char.encode(d[k[0]],
"cp1252",
errors="replace"),
dims=d[k[0]].dims)
return d
def test_wrong_version_1(self):
ia = DimSweep("a", 1, unit="")
d1 = DataBlock()
d1.b = hfarray([2], dims=(ia, ))
d2 = DataBlock()
d2.b = hfarray([3], dims=(ia, ))
fname = testpath / "testdata/hdf5/v02/savetest/res_1.hdf5"
with hdf5context(fname, mode="w") as fil:
save_hdf5_v01(d1, fil)
self.assertRaises(Exception, append_hdf5, d2, fil)
# append_hdf5(d2, fil)
fname.unlink()
def read_hdf5(h5file, name="datablock", **kw):
if isinstance(h5file, string_types):
fil = h5py.File(h5file, "r")
else:
fil = h5file
db = DataBlock()
grp = fil[name]
blockname = grp.attrs["Blockname"]
if blockname.lower() == "none":
blockname = None
db.blockname = blockname
comments = grp["Comments"]
if "fullcomments" in comments and len(comments["fullcomments"]):
db.comments = Comments([
cast_unicode(x).strip() for x in np.array(comments["fullcomments"])
])
else:
db.comments = Comments()
ivardata = grp["ivardata"]
vardata = grp["vardata"]
for k in ivardata:
v = ivardata[k]
datadtype = v.attrs[r"info\dtype"] or None
dimcls = dims_dict.get(v.attrs[r"info\class"], DimRep)
unit = str(v.attrs.get(r"info\unit", "none"))
if unit.lower() == "none":
unit = None
vdata = np.array(np.array(v), dtype=datadtype)
dim = dimcls(k, vdata, unit=unit)
db[k] = dim
for k in vardata:
v = vardata[k]
datadtype = v.attrs[r"data\dtype"] or None
dims = tuple(db.ivardata[cast_unicode(dimname)]
for dimname in v.attrs[r"info\name"])
unit = cast_unicode(v.attrs.get(r"data\unit", "none"))
if unit.lower() == "none":
unit = None
db[k] = hfarray(np.array(v), dtype=datadtype, dims=dims, unit=unit)
if isinstance(h5file, string_types):
fil.close()
if kw.get("property_to_vars", False):
db.values_from_property()
return db
def setUp(self):
d = DataBlock()
gi = DimSweep("Index", 6)
ri = DimRep("Rep", 2)
dims = (gi, )
d["a"] = hfarray([1, 1, 2, 2, 3, 3],
dims=dims,
outputformat="%.5f",
unit="V")
d["b"] = hfarray([10, 20, 10, 20, 10, 20],
dims=(gi, ),
outputformat="%.7f",
unit="A")
d["c"] = hfarray([10.1, 20.1, 10.2, 20.2, 10.3, 20.3],
dims=(gi, ),
outputformat="%.7f",
unit="A")
d["d"] = hfarray([17, 19], dims=(ri, ), outputformat="%.7f", unit="A")
self.d = d
def test_1(self):
d = DataBlock()
fi = DimSweep("Freq", 3)
gi = DimSweep("g", 4)
d["Vds"] = hfarray([1, 2, 3], dims=(fi, ))
d["Id"] = hfarray([1, 2, 3, 4], dims=(gi, ))
d.guess_units()
d.values_from_property()
self.assertEqual(d.Vds.unit, "V")
self.assertAllclose(d.Vds, [1, 2, 3])
self.assertEqual(d.Id.unit, "A")
self.assertAllclose(d.Id, [1, 2, 3, 4])
self.assertEqual(d.Freq.unit, "Hz")
