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192 | class fileLoader_text(fileLoader_base):
"""Load a canonical ``.sanpy`` recording without raising into the GUI."""
loadFileType = ".sanpy"
def loadFile(self) -> None:
"""Load ``self.filepath`` and contain malformed-file failures."""
try:
self._load_file()
except Exception as error:
logger.error(
'Could not load .sanpy file "%s": %s', self.filepath, error
)
self._loadError = True
def _load_file(self) -> None:
dataframe = pd.read_csv(self.filepath)
if dataframe.empty:
raise ValueError("file contains no recording rows")
columns = [str(name) for name in dataframe.columns]
recording_token, y_columns, c_columns, has_epoch_index = _parse_sanpy_columns(
columns
)
seconds = dataframe["seconds"].to_numpy(dtype=np.float64)
if len(seconds) < 2:
raise ValueError("'seconds' must contain at least two samples")
if not np.isfinite(seconds).all():
raise ValueError("'seconds' must contain only finite numeric values")
if not np.isclose(seconds[0], 0.0, rtol=0.0, atol=_ATOL):
raise ValueError("'seconds' must begin at zero")
time_steps = np.diff(seconds)
if np.any(time_steps <= 0):
raise ValueError("'seconds' must be strictly increasing")
sample_interval = float(time_steps[0])
if not np.allclose(time_steps, sample_interval, rtol=_RTOL, atol=_ATOL):
raise ValueError("'seconds' must be uniformly sampled")
sweep_y = dataframe[y_columns].to_numpy(dtype=np.float64)
if not np.isfinite(sweep_y).all():
raise ValueError("recording columns must contain only finite numeric values")
sweep_c: Optional[np.ndarray] = None
if c_columns:
sweep_c = dataframe[c_columns].to_numpy(dtype=np.float64)
if not np.isfinite(sweep_c).all():
raise ValueError("command columns must contain only finite numeric values")
epoch_tables: Optional[list[epochTable]] = None
if has_epoch_index:
if not pd.api.types.is_integer_dtype(dataframe["epoch_index"].dtype):
raise ValueError("'epoch_index' must contain integer values")
epoch_indices = dataframe["epoch_index"].to_numpy(dtype=np.int64)
if epoch_indices[0] != 0:
raise ValueError("'epoch_index' must begin at 0")
epoch_steps = np.diff(epoch_indices)
if not np.isin(epoch_steps, (0, 1)).all():
raise ValueError(
"'epoch_index' may only remain unchanged or increase by 1"
)
if sweep_c is None: # Guaranteed by column validation; keeps typing explicit.
raise ValueError("'epoch_index' requires command columns")
epoch_tables = self._build_epoch_tables(
epoch_indices, sweep_c, sample_interval
)
recording_mode = (
recordingModes.iclamp
if recording_token == "mv"
else recordingModes.vclamp
)
self.setLoadedData(
sweepX=seconds[:, np.newaxis],
sweepY=sweep_y,
sweepC=sweep_c,
recordingMode=recording_mode,
xLabel="seconds",
yLabel=recording_token,
)
self._epochTableList = epoch_tables
@staticmethod
def _build_epoch_tables(
epoch_indices: np.ndarray,
sweep_c: np.ndarray,
sample_interval: float,
) -> list[epochTable]:
"""Build one epoch table per sweep from shared point labels."""
transition_points = np.flatnonzero(np.diff(epoch_indices)) + 1
boundaries = np.concatenate(([0], transition_points, [len(epoch_indices)]))
data_points_per_ms = 1.0 / (sample_interval * 1000.0)
tables: list[epochTable] = []
for sweep in range(sweep_c.shape[1]):
table = epochTable()
for epoch_index, (start_point, stop_point) in enumerate(
zip(boundaries[:-1], boundaries[1:])
):
command = sweep_c[start_point:stop_point, sweep]
level = float(command[0])
if not np.allclose(command, level, rtol=_RTOL, atol=_ATOL):
raise ValueError(
f"command for sweep {sweep}, epoch {epoch_index} is not constant"
)
start_sec = float(start_point * sample_interval)
stop_sec = float(stop_point * sample_interval)
table.addEpoch(
sweepNumber=sweep,
startSec=start_sec,
stopSec=stop_sec,
dataPointsPerMs=data_points_per_ms,
level=level,
)
added_epoch = table.getEpochList()[-1]
if (
added_epoch["startPoint"] != start_point
or added_epoch["stopPoint"] != stop_point
):
raise ValueError(
"epoch boundary conversion mismatch for "
f"sweep {sweep}, epoch {epoch_index}: expected "
f"[{start_point}, {stop_point}), got "
f"[{added_epoch['startPoint']}, {added_epoch['stopPoint']})"
)
tables.append(table)
return tables
|