Establish one invariant across the Drawable hierarchy: x is always a
numpy ndarray, y is always a list of per-channel ndarrays, and empty
data is the same types with zero length.
- Drawable: x starts as empty ndarray; min/max helpers return 0 on
empty data instead of raising; drop contradictory isinstance(self.y,
list) branches
- ADC_Result/Accumulation: empty constructors build ndarray x; full
constructors coerce x/y/y_square with numpy.asarray; Accumulation
get_ydata/get_yerr return empty ndarrays and no longer crash on
empty statistics-less accumulations
- MeasurementResult: fix get_lineplotdata to return the accumulated
means (previously the never-populated self.y, so the GUI line plot
could never draw); remove dead float/int branches in CSV and HDF
writers
- Error_Result: get_xdata/get_ydata return ndarrays
Add unittest coverage for the invariant, empty-state accessors,
constructor coercion, line plot data, CSV output and HDF round-trip.
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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
Removing gobject.type_register(GtkSource.View) broke startup: the
call was load-bearing, it forced registration of the GtkSourceView
GType so GtkBuilder could resolve the type in damaris3.glade
("Invalid object type 'GtkSourceView'"). Restore the registration
by referencing gtksourceview.View at import time, which is the
same effect without the PyGTK compat API.
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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
time_period is list[datetime] | None at runtime (None from old-format
HDF5 files, [] from the constructor), but several sites subscripted
it unguarded and crashed with TypeError/IndexError.
- annotate time_period as list[datetime.datetime] | None
- copy paths (get_accu_by_index, __iadd__ self-empty) use the guarded
pattern already present in _copy_provenance
- merges in __add__/__iadd__ only combine min/max when both sides carry
time information; otherwise the result is None (provenance unknown)
- write_to_tecmag raises ValueError when no time information is
available instead of crashing while writing the header
Clears all remaining time_period pyrefly errors (72 -> 63). Unit tests
reproduce the crashes and pass with the fix.
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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
Accumulation.__neg__ passed y_2 = numpy.array(self.y_square), storing a
2D ndarray. A later __iadd__ on an accumulation with ndarray y_square
crashed with AttributeError at the y_square.append sites (992, 1064).
- __neg__ now passes a per-channel copy (values unchanged: sums of
squares are invariant under negation)
- __init__ normalizes ndarray y_2 to a list, so external callers cannot
reintroduce the bug
- y_square annotated as _YChannels
Clears the remaining pyrefly errors at Accumulation.py:992 and :1064
(74 -> 72). Unit tests reproduce both crashes and pass with the fix.
Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
- signature-only type hints for ADC_Result, MeasurementResult,
Accumulation, and the Drawable base class (x: ndarray | list, y: list)
- get_ydata now takes channel: int = 0 across the hierarchy
(Drawable, Accumulation, MeasurementResult, Error_Result), fixing
the LSP violation flagged by pyrefly
- widen _XArray alias to ndarray | list: internal copy constructors
pass self.x[:] which is that union
- add hinted files to pyrefly project-includes
pyrefly errors in the covered files drop from 102 to 74; the rest is
PyTables stub noise and pre-existing latent bugs left for separate fixes.
Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
- raise instead of silent None for unsupported operands and empty negation
- validate before acquiring lock in Accumulation operators (no RLock leak)
- Accumulation._copy_provenance helper, ADC_Result._copy_metadata for all result paths
- shared _sandbox_stdout_redirect contextmanager for sandboxed scripts
- TemperatureMonitor dead code removal (gtk helper, traceback, unused properties)
- new unit tests incl. lock-freedom regression test
- gitignore sphinx generated doc/_autosummary/ and doc/damaris/
phase() overwrote the underlying channel arrays (y[i] *= -1) and returned
self, so rotated copies aliased the original object and negative phase
angles garbled shared data. It now returns a copy with new arrays and
uses numpy.deg2rad for arbitrary angles.
Add unittests for phase() including negative angles and non-mutation.
markusro