fix: rename to ReflectivityOverQ

scipp · Oct 11, 2024 · 6d6411a · 6d6411a
1 parent 0ca0f6a
commit 6d6411a
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Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/src/ess/reflectometry/tools.py b/src/ess/reflectometry/tools.py
@@ -11,7 +11,7 @@
 from orsopy.fileio.orso import OrsoDataset
 
 from ess.reflectometry import orso
-from ess.reflectometry.types import NormalizedIofQ
+from ess.reflectometry.types import ReflectivityOverQ
 
 _STD_TO_FWHM = sc.scalar(2.0) * sc.sqrt(sc.scalar(2.0) * sc.log(sc.scalar(2.0)))
 
@@ -295,7 +295,7 @@ def orso_datasets_from_measurements(
     Parameters
     -----------
     workflow:
-        The sciline workflow used to compute `NormalizedIofQ` for each of the runs.
+        The sciline workflow used to compute `ReflectivityOverQ` for each of the runs.
 
     runs:
         The sciline parameters to be used for each run
@@ -314,7 +314,7 @@ def orso_datasets_from_measurements(
         wf = workflow.copy()
         for name, value in parameters.items():
             wf[name] = value
-        reflectivity_curves.append(wf.compute(NormalizedIofQ))
+        reflectivity_curves.append(wf.compute(ReflectivityOverQ))
 
     scale_factors = (
         scale_reflectivity_curves_to_overlap(
@@ -331,7 +331,7 @@ def orso_datasets_from_measurements(
         wf = workflow.copy()
         for name, value in parameters.items():
             wf[name] = value
-        wf[NormalizedIofQ] = scale_factor * curve
+        wf[ReflectivityOverQ] = scale_factor * curve
         dataset = wf.compute(orso.OrsoIofQDataset)
         dataset.info.reduction.corrections = orso.find_corrections(
             wf.get(orso.OrsoIofQDataset)

diff --git a/tests/tools_test.py b/tests/tools_test.py
@@ -13,7 +13,7 @@
     orso_datasets_from_measurements,
     scale_reflectivity_curves_to_overlap,
 )
-from ess.reflectometry.types import Filename, NormalizedIofQ, SampleRun
+from ess.reflectometry.types import Filename, ReflectivityOverQ, SampleRun
 
 
 def curve(d, qmin, qmax):
@@ -140,7 +140,7 @@ def test_combined_curves():
 
 @pytest.mark.filterwarnings("ignore:No suitable")
 def test_orso_datasets_tool():
-    def normalized_ioq(filename: Filename[SampleRun]) -> NormalizedIofQ:
+    def normalized_ioq(filename: Filename[SampleRun]) -> ReflectivityOverQ:
         return filename
 
     def orso_dataset(filename: Filename[SampleRun]) -> OrsoIofQDataset: