aggregating_axes

Author: davidhassell

cf/aggregate.py

@@ -3492,15 +3492,15 @@ def climatology_cells(
 
 
 def _create_hash_and_first_values(
-    meta, axes, donotchecknonaggregatingaxes, hfl_cache, rtol, atol
+    meta, aggregating_axes, donotchecknonaggregatingaxes, hfl_cache, rtol, atol
 ):
     """Updates each field's _Meta object.
 
     :Parameters:
 
         meta: `list` of `_Meta`
 
-        axes: `list`
+        axes: sequence
             The identities of the possible aggregating axes.
 
         donotchecknonaggregatingaxes: `bool`
@@ -3514,8 +3514,6 @@ def _create_hash_and_first_values(
     # identity.
     canonical_direction = {}
 
-    aggregating_axes = list(axes)
-
     for m in meta:
         field = m.field
         constructs = field.constructs.todict()
@@ -3541,9 +3539,9 @@ def _create_hash_and_first_values(
         # --------------------------------------------------------
         for identity in m.axis_ids:
             if (
-                axes is not None
+                aggregating_axes is not None
                 and donotchecknonaggregatingaxes
-                and identity not in axes
+                and identity not in aggregating_axes
             ):
                 x = [None] * len(m.axis[identity]["keys"])
                 m_hash_values[identity] = x
@@ -3685,12 +3683,12 @@ def _create_hash_and_first_values(
 
                 coord = constructs[key]
 
-                axes = aux["axes"]
+                c_axes = aux["axes"]
                 canonical_axes = aux["canonical_axes"]
-                if axes != canonical_axes:
+                if c_axes != canonical_axes:
                     # Transpose the N-d auxiliary coordinate so that
                     # it has the canonical axis order
-                    iaxes = [axes.index(axis) for axis in canonical_axes]
+                    iaxes = [c_axes.index(axis) for axis in canonical_axes]
                     coord = coord.transpose(iaxes)
 
                 sort_indices, needs_sorting = _sort_indices(m, canonical_axes)
@@ -3736,14 +3734,14 @@ def _create_hash_and_first_values(
         else:
             for canonical_units, msr in m.msr.items():
                 hash_values = []
-                for key, axes, canonical_axes in zip(
+                for key, c_axes, canonical_axes in zip(
                     msr["keys"], msr["axes"], msr["canonical_axes"]
                 ):
                     cell_measure = constructs[key]
-                    if axes != canonical_axes:
+                    if c_axes != canonical_axes:
                         # Transpose the cell measure so that it has
                         # the canonical axis order
-                        iaxes = [axes.index(axis) for axis in canonical_axes]
+                        iaxes = [c_axes.index(axis) for axis in canonical_axes]
                         cell_measure = cell_measure.transpose(iaxes)
 
                     sort_indices, needs_sorting = _sort_indices(
@@ -3850,12 +3848,12 @@ def _create_hash_and_first_values(
 
                 field_anc = constructs[key]
 
-                axes = anc["axes"]
+                c_axes = anc["axes"]
                 canonical_axes = anc["canonical_axes"]
-                if axes != canonical_axes:
+                if c_axes != canonical_axes:
                     # Transpose the field ancillary so that it has the
                     # canonical axis order
-                    iaxes = [axes.index(axis) for axis in canonical_axes]
+                    iaxes = [c_axes.index(axis) for axis in canonical_axes]
                     field_anc = field_anc.transpose(iaxes)
 
                 sort_indices, needs_sorting = _sort_indices(m, canonical_axes)
@@ -3888,12 +3886,12 @@ def _create_hash_and_first_values(
 
                 domain_anc = constructs[key]
 
-                axes = anc["axes"]
+                c_axes = anc["axes"]
                 canonical_axes = anc["canonical_axes"]
-                if axes != canonical_axes:
+                if c_axes != canonical_axes:
                     # Transpose the domain ancillary so that it has
                     # the canonical axis order
-                    iaxes = [axes.index(axis) for axis in canonical_axes]
+                    iaxes = [c_axes.index(axis) for axis in canonical_axes]
                     domain_anc = domain_anc.transpose(iaxes)
 
                 sort_indices, needs_sorting = _sort_indices(m, canonical_axes)