numpy cannot handle derived int classes

refinery/lib/argformats.py

@@ -116,7 +116,7 @@
 
 from refinery.lib.frame import Chunk
 from refinery.lib.tools import isbuffer, infinitize, one, normalize_to_identifier
-from refinery.lib.types import NoMask
+from refinery.lib.types import NoMask, RepeatedInteger
 from refinery.lib.meta import is_valid_variable_name, metavars, Percentage
 
 if TYPE_CHECKING:
@@ -145,15 +145,6 @@ class ParserVariableMissing(ParserError):
     pass
 
 
-class RepeatedInteger(int):
-    """
-    This class serves as a dual-purpose result for `refinery.lib.argformats.numseq`
-    types. It is an integer, but can be infinitely iterated.
-    """
-    def __iter__(self): return self
-    def __next__(self): return self
-
-
 class LazyEvaluation:
     """
     Empty parent class for any unit that throws `refinery.lib.argformats.TooLazy`.

refinery/lib/types.py

@@ -165,3 +165,12 @@ def __and__(self, other):
 The value of `NoMask & X` and `X & NoMask` is always equal to `X`. This singleton serves as a
 mock bitmask when the value `X` should not be masked at all.
 """
+
+
+class RepeatedInteger(int):
+    """
+    This class serves as a dual-purpose result for `refinery.lib.argformats.numseq` types. It
+    is an integer, but can be infinitely iterated.
+    """
+    def __iter__(self): return self
+    def __next__(self): return self

refinery/units/blockwise/__init__.py

@@ -236,7 +236,7 @@ def _fastblock(self, data):
             if isinstance(it, int):
                 if not masked:
                     it &= self.fmask
-                npa = it
+                npa = int(it)
             elif self.precision is INF:
                 npa = numpy.array(list(itertools.islice(na, blocks)), dtype=dtype)
             else: