Modified SensorData.from_fits() to simplify the shape of the serial_number field if possible. (#17)

Author: roytsmart

msfc_ccd/_images/_sensor_images.py

@@ -305,6 +305,11 @@ def from_fits(
         t.format = "isot"
         time.ndarray = t
 
+        for axis in serial_number.shape:
+            sn0 = serial_number[{axis: 0}]
+            if np.all(sn0 == serial_number):
+                serial_number = sn0
+
         return cls(
             inputs=ImageHeader(
                 pixel=pixel,

msfc_ccd/_images/_tests/test_sensor_images.py

@@ -28,6 +28,18 @@ def test_taps(self, a: msfc_ccd.abc.AbstractSensorData):
                         msfc_ccd.samples.path_dark_esis3,
                     ]
                 ),
+                axes="channel",
+            ),
+            sensor=msfc_ccd.TeledyneCCD230(),
+        ),
+        msfc_ccd.SensorData.from_fits(
+            path=na.ScalarArray(
+                ndarray=np.array(
+                    [
+                        msfc_ccd.samples.path_dark_esis1,
+                        msfc_ccd.samples.path_fe55_esis1,
+                    ]
+                ),
                 axes="time",
             ),
             sensor=msfc_ccd.TeledyneCCD230(),
@@ -52,8 +64,10 @@ def test_unbiased(
         a: msfc_ccd.SensorData,
     ):
         result = a.unbiased
+        taps = result.taps()
         assert isinstance(result, msfc_ccd.SensorData)
-        assert np.abs(result.outputs.mean()) < 1
+        assert np.abs(taps.outputs[taps.where_blank()].mean()) < 1
+        assert np.abs(taps.outputs[taps.where_overscan()].mean()) < 1
         assert np.abs(result.outputs.mean()) > 0
 
     def test_active(