def test_read_text_segment(self):
with TmpDir() as dir_:
filename = os.path.join(dir_, self.name)
cols = pd.MultiIndex.from_tuples(
list(zip(self.channels, self.long_channels)),
names=["short", "long"],
)
df = DataFrame(self.data, columns=cols)
df.to_fcs(filename)
seg = Fcs.read_text_segment(filename)
assert seg.pnn == self.channels
assert seg.pns == self.long_channels
def test_write_text_segment(self):
with TmpDir() as dir_:
filename = os.path.join(dir_, "export.fcs")
fcs = Fcs(self.data, self.long_channels, self.channels)
fcs.export(filename)
fseg = TextSegment(
self.data.shape[0],
self.long_channels,
["w", "x", "y", "z"],
self.data.max(axis=0),
text_start=256,
)
Fcs.write_text_segment(filename, fseg)
tseg = Fcs.read_text_segment(filename)
assert tseg.pns == ["w", "x", "y", "z"]
def test_read_text_segment(self):
with TmpDir() as dir_:
filename = os.path.join(dir_, "test.fcs")
cols = pd.MultiIndex.from_tuples(
list(zip(self.channels, self.long_channels)),
names=["short", "long"],
)
df = DataFrame(self.data, columns=cols)
df.to_fcs(filename)
self.s3.upload_file(filename, self.bucket_name, "test.fcs")
parse_func = create_open_func(S3ReadBuffer, bucket=self.bucket_name)
with parse_func("test.fcs") as fp:
seg = Fcs.read_text_segment(fp)
assert seg.pnn == self.channels
assert seg.pns == self.long_channels