Rename class TrueDiv to TrueDivide for code consistency

Author: sudarsan2k5

aesara/compile/profiling.py

@@ -1505,7 +1505,7 @@ def print_tips(self, file):
             aes.Add,
             aes.Mul,
             aes.Sub,
-            aes.TrueDiv,
+            aes.TrueDivide,
             aes.FloorDivide,
             aes.Clip,
             aes.Second,

aesara/link/numba/dispatch/elemwise.py

@@ -34,7 +34,7 @@
     ScalarMaximum,
     ScalarMinimum,
     Sub,
-    TrueDiv,
+    TrueDivide,
 )
 from aesara.scalar.basic import add as add_as
 from aesara.scalar.basic import scalar_maximum
@@ -101,7 +101,7 @@ def scalar_in_place_fn_XOR(op, idx, res, arr):
     return f"{res}[{idx}] ^= {arr}"
 
 
-@scalar_in_place_fn.register(TrueDiv)
+@scalar_in_place_fn.register(TrueDivide)
 def scalar_in_place_fn_TrueDiv(op, idx, res, arr):
     return f"{res}[{idx}] /= {arr}"
 

aesara/scalar/basic.py

@@ -1979,7 +1979,7 @@ def L_op(self, inputs, outputs, gout):
 sub = Sub(upcast_out_nobool, name="sub")
 
 
-class TrueDiv(BinaryScalarOp):
+class TrueDivide(BinaryScalarOp):
     nfunc_spec = ("true_divide", 2, 1)
 
     def output_types(self, types):
@@ -2035,7 +2035,7 @@ def grad(self, inputs, gout):
         return first_part, second_part
 
 
-true_divide = TrueDiv(upcast_out, name="true_divide")
+true_divide = TrueDivide(upcast_out, name="true_divide")
 divide = true_divide
 
 
@@ -4539,7 +4539,7 @@ def __getattr__(name):
     "Mean",
     "Mul",
     "Sub",
-    "TrueDiv",
+    "TrueDivide",
     "FloorDivide",
     "mod_check",
     "Mod",

aesara/tensor/basic.py

@@ -253,7 +253,7 @@ def _obj_is_wrappable_as_tensor(x):
     aes.Mod,
     aes.Mul,
     aes.FloorDivide,
-    aes.TrueDiv,
+    aes.TrueDivide,
     aes.ScalarMinimum,
     aes.ScalarMaximum,
 )

aesara/tensor/rewriting/math.py

@@ -1963,7 +1963,7 @@ def local_intdiv_by_one(fgraph, node):
 def local_zero_div(fgraph, node):
     """0 / x -> 0"""
     if isinstance(node.op, Elemwise) and isinstance(
-        node.op.scalar_op, (aes.FloorDivide, aes.TrueDiv)
+        node.op.scalar_op, (aes.FloorDivide, aes.TrueDivide)
     ):
         if get_constant(node.inputs[0]) == 0:
             ret = broadcast_like(0, node.outputs[0], fgraph)

tests/scalar/test_type.py

@@ -4,7 +4,7 @@
 from aesara.scalar.basic import (
     FloorDivide,
     ScalarType,
-    TrueDiv,
+    TrueDivide,
     complex64,
     float32,
     float64,
@@ -27,13 +27,13 @@ def test_div_types():
 
     assert isinstance((a // b).owner.op, FloorDivide)
     assert isinstance((b // a).owner.op, FloorDivide)
-    assert isinstance((b / d).owner.op, TrueDiv)
-    assert isinstance((b / f).owner.op, TrueDiv)
-    assert isinstance((f / a).owner.op, TrueDiv)
-    assert isinstance((d / b).owner.op, TrueDiv)
-    assert isinstance((d / f).owner.op, TrueDiv)
-    assert isinstance((f / c).owner.op, TrueDiv)
-    assert isinstance((a / c).owner.op, TrueDiv)
+    assert isinstance((b / d).owner.op, TrueDivide)
+    assert isinstance((b / f).owner.op, TrueDivide)
+    assert isinstance((f / a).owner.op, TrueDivide)
+    assert isinstance((d / b).owner.op, TrueDivide)
+    assert isinstance((d / f).owner.op, TrueDivide)
+    assert isinstance((f / c).owner.op, TrueDivide)
+    assert isinstance((a / c).owner.op, TrueDivide)
 
 
 def test_filter_float_subclass():

tests/tensor/rewriting/test_math.py

@@ -618,7 +618,7 @@ def test_mul_div_cases(self):
             assert isinstance(elem[0].op, (Elemwise,))
             assert isinstance(
                 elem[0].op.scalar_op,
-                (aes.basic.Reciprocal, aes.basic.TrueDiv),
+                (aes.basic.Reciprocal, aes.basic.TrueDivide),
             )
             assert out_dtype == out.dtype
 
@@ -693,7 +693,7 @@ def test_mul_div_cases(self):
             topo = f.maker.fgraph.toposort()
             assert len(topo) == 1
             assert isinstance(topo[0].op, (Elemwise,))
-            assert isinstance(topo[0].op.scalar_op, aes.basic.TrueDiv)
+            assert isinstance(topo[0].op.scalar_op, aes.basic.TrueDivide)
             assert len(topo[0].inputs) == 2
             assert out_dtype == out.dtype
 
@@ -746,7 +746,7 @@ def test_mul_div_cases(self):
             assert isinstance(topo[0].op.scalar_op, aes.basic.Mul)
             assert len(topo[0].inputs) == 2
             assert isinstance(topo[1].op, (Elemwise,))
-            assert isinstance(topo[1].op.scalar_op, aes.basic.TrueDiv)
+            assert isinstance(topo[1].op.scalar_op, aes.basic.TrueDivide)
             assert len(topo[1].inputs) == 2
             assert out_dtype == out.dtype
 
@@ -3729,7 +3729,7 @@ def test_local_sum_div_dimshuffle(self):
         for i, s in enumerate(sums):
             f = function([a, b, c, d], s, mode=self.mode, on_unused_input="ignore")
             g = f.maker.fgraph.toposort()
-            assert isinstance(g[-1].op.scalar_op, aes.basic.TrueDiv)
+            assert isinstance(g[-1].op.scalar_op, aes.basic.TrueDivide)
             f(a_val, b_val, c_val, d_val)
 
     def test_local_prod_div_dimshuffle(self):
@@ -3820,7 +3820,7 @@ def test_local_prod_div_dimshuffle(self):
             aes.basic.Mul,
             aes.basic.Composite,
             aes.basic.Composite,
-            aes.basic.TrueDiv,
+            aes.basic.TrueDivide,
             aes.basic.Composite,
             aes.basic.Mul,
             aes.basic.Composite,

tests/tensor/test_math.py

@@ -3042,7 +3042,7 @@ def test_mean_custom_dtype(self):
                     try:
                         grad(mean_var.sum(), x, disconnected_inputs="ignore")
                     except NotImplementedError:
-                        # TrueDiv does not seem to have a gradient when
+                        # TrueDivide does not seem to have a gradient when
                         # the numerator is complex.
                         if mean_var.dtype in complex_dtypes:
                             pass