Removed redundant checks that are now performed in singlepp itself.

src/singler/classify_integrated.py

@@ -77,9 +77,6 @@ def classify_integrated(
     if isinstance(test_data, summarizedexperiment.SummarizedExperiment):
         test_data = test_data.assay(assay_type)
 
-    if test_data.shape[0] != integrated_prebuilt._test_num_features: # TODO: move to singlepp.
-        raise ValueError("number of rows in 'test_data' is not consistent with 'test_features=' used to create 'integrated_prebuilt'")
-
     ref_labs = integrated_prebuilt.reference_labels
     if len(results) != len(ref_labs):
         raise ValueError("length of 'results' should equal the number of references")

src/singler/classify_single.py

@@ -66,9 +66,6 @@ def classify_single(
     if isinstance(test_data, summarizedexperiment.SummarizedExperiment):
         test_data = test_data.assay(assay_type)
 
-    if test_data.shape[0] != ref_prebuilt._test_num_features: # TODO: move to singlepp
-        raise ValueError("number of rows in 'test_data' is not consistent with 'test_features=' used to create 'ref_prebuilt'")
-
     test_ptr = mattress.initialize(test_data)
 
     best, raw_scores, delta = lib.classify_single(

src/singler/train_integrated.py

@@ -17,7 +17,6 @@ class TrainedIntegratedReferences:
     def __init__(self, ptr: int, ref_labels: list, test_num_features: int):
         self._ptr = ptr
         self._labels = ref_labels
-        self._test_num_features = test_num_features # TODO: move to singlepp.
 
     @property
     def reference_labels(self) -> list:

src/singler/train_single.py

@@ -34,7 +34,6 @@ def __init__(
         self._features = features
         self._labels = labels
         self._markers = markers
-        self._test_num_features = test_num_features # TODO: move to singlepp.
 
     def num_markers(self) -> int:
         """