numpy.divmod is too new for some systems

scikit-hep · Jun 17, 2018 · d399d6c · d399d6c
1 parent cc87b52
commit d399d6c
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Showing 2 changed files with 7 additions and 2 deletions.
diff --git a/appveyor.yml b/appveyor.yml
@@ -44,5 +44,5 @@ install:
   - "python --version"
 
 build_script:
-  - "pip install numpy meta --user"
+  - "pip install numpy --user"
   - "python setup.py test"
diff --git a/awkward/jagged.py b/awkward/jagged.py
@@ -273,7 +273,12 @@ def __setitem__(self, where, what):
             buf[startpos:stoppos] = what
 
         elif len(starts) != 0:
-            startposes, offsets = numpy.divmod(starts, self._dtype.itemsize)
+            if hasattr(numpy, "divmod"):
+                startposes, offsets = numpy.divmod(starts, self._dtype.itemsize)
+            else:
+                startposes = numpy.floor_divide(starts, self._dtype.itemsize)
+                offsets = numpy.remainder(starts, self._dtype.itemsize)
+
             stopposes = numpy.floor_divide(stops, self._dtype.itemsize)
 
             if isinstance(what, JaggedArray):