FIX: small fixes to make unit tests pass

This is preparation for migration to numpy>2 and pandas>2.

.github/workflows/test.yml

@@ -10,7 +10,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest]
-        python: [3.8, 3.9, 3.10,13, 3.11, 3.12]
+        python: [3.8, 3.9, 3.10, 3.11, 3.12]
     runs-on: ${{ matrix.os }}
 
     steps:

histogrammar/primitives/sparselybin.py

@@ -657,7 +657,7 @@ def __repr__(self):
 
     def __eq__(self, other):
         return isinstance(other, SparselyBin) and numeq(self.binWidth, other.binWidth) and \
-               self.quantity == other.quantity and numeq(self.entries, other.entries) and self.bins == other.bins and \
+               self.quantity == other.quantity and numeq(self.entries, other.entries) and sorted(self.bins) == sorted(other.bins) and \
                self.nanflow == other.nanflow and numeq(self.origin, other.origin)
 
     def __ne__(self, other):

tests/test_numpy.py

@@ -236,6 +236,9 @@ def compare(self, name, hnp, npdata, hpy, pydata):
         startTime = time.time()
         hnp.fill.numpy(npdata)
         numpyTime = time.time() - startTime
+        # protect against zero time.
+        numpyTime = max(numpyTime, 1e-10)
+
 
         if pydata.dtype != numpy.unicode_:
             for key in npdata:
@@ -261,6 +264,8 @@ def compare(self, name, hnp, npdata, hpy, pydata):
                 d = float(d)
             hpy.fill(d)
         pyTime = time.time() - startTime
+        # protect against zero time.
+        pyTime = max(pyTime, 1e-10)
 
         for h in [hpy2, hpy3, hpy3]:
             for d in pydata: