Multi xas with nans

Example

from ewoks import execute_graph

input_information = {
    "channel_url": "silx:///data/scisoft/ewoks/ch7280/id24-dcm/20250131/RAW_DATA/Ru_WVC1/Ru_WVC1_1_RT_air/Ru_WVC1_1_RT_air.h5::/1.1/measurement/energy_enc",
    "spectra_url": "silx:///data/scisoft/ewoks/ch7280/id24-dcm/20250131/RAW_DATA/Ru_WVC1/Ru_WVC1_1_RT_air/Ru_WVC1_1_RT_air.h5::/1.1/measurement/mu_trans",
    "energy_unit": "keV",
    "is_concatenated": True,
    "skip_concatenated_n_points": 1,
    "skip_concatenated_n_spectra": 0,
}

inputs = [
    {
        "task_type": "ReadXasObject",
        "name": "input_information",
        "value": input_information,
    }
]
execute_graph("online.ows", inputs=inputs, engine="orange")

src/est/core/process/handle_nan.py

@@ -24,9 +24,7 @@ def array_undo_mask(masked: numpy.ndarray, mask: numpy.ndarray) -> numpy.ndarray
     if not mask.any():
         return masked
     if numpy.issubdtype(masked.dtype, int):
-        fill_value = 0
-    else:
-        fill_value = numpy.nan
-    result = numpy.full(mask.shape, fill_value, dtype=masked.dtype)
+        raise TypeError("Integers are not supported")
+    result = numpy.full(mask.shape, numpy.nan, dtype=masked.dtype)
     result[mask] = masked
     return result