Move tests.gof.test_opt's test types to tests.gof.utils

tests/gof/test_opt.py

 import theano.tensor as tt
+from tests.gof.utils import MyType, MyVariable, op1, op2, op3, op4, op5, op6, op_y, op_z
 from theano.gof.fg import FunctionGraph
-from theano.gof.graph import Apply, Constant, Variable
+from theano.gof.graph import Apply, Constant
 from theano.gof.op import Op
 from theano.gof.opt import (
     EquilibriumOptimizer,
@@ -15,82 +16,11 @@ from theano.gof.opt import (
     pre_greedy_local_optimizer,
     theano,
 )
-from theano.gof.type import Type
 from theano.tensor.opt import constant_folding
 from theano.tensor.subtensor import AdvancedSubtensor
 from theano.tensor.type_other import MakeSlice, SliceConstant, slicetype
 
 
-def is_variable(x):
-    if not isinstance(x, Variable):
-        raise TypeError("not a Variable", x)
-    return x
-
-
-class MyType(Type):
-    def filter(self, data):
-        return data
-
-    def __eq__(self, other):
-        return isinstance(other, MyType)
-
-    def __hash__(self):
-        return hash(MyType)
-
-
-def MyVariable(name):
-    return Variable(MyType(), None, None, name=name)
-
-
-class MyOp(Op):
-    def __init__(self, name, dmap=None, x=None):
-        self.name = name
-        if dmap is None:
-            dmap = {}
-        self.destroy_map = dmap
-        self.x = x
-
-    def make_node(self, *inputs):
-        inputs = list(map(is_variable, inputs))
-        for input in inputs:
-            if not isinstance(input.type, MyType):
-                raise Exception("Error 1")
-        outputs = [MyType()()]
-        return Apply(self, inputs, outputs)
-
-    def __str__(self):
-        return self.name
-
-    def __repr__(self):
-        return self.name
-
-    def __eq__(self, other):
-        # rval = (self is other) or (isinstance(other, MyOp) and self.x is not None and self.x == other.x and self.name == other.name)
-        rval = (self is other) or (
-            isinstance(other, MyOp) and self.x is not None and self.x == other.x
-        )
-        return rval
-
-    def __hash__(self):
-        # return hash(self.x if self.x is not None else id(self)) ^ hash(self.name)
-        if self.x is not None:
-            return hash(self.x)
-        else:
-            return id(self)
-
-
-op1 = MyOp("Op1")
-op2 = MyOp("Op2")
-op3 = MyOp("Op3")
-op4 = MyOp("Op4")
-op5 = MyOp("Op5")
-op6 = MyOp("Op6")
-op_d = MyOp("OpD", {0: [0]})
-
-op_y = MyOp("OpY", x=1)
-op_z = MyOp("OpZ", x=1)
-
-
 def inputs():
     x = MyVariable("x")
     y = MyVariable("y")

tests/gof/utils.py

+from theano.gof.graph import Apply, Variable
+from theano.gof.op import Op
+from theano.gof.type import Type
+
+
+def is_variable(x):
+    if not isinstance(x, Variable):
+        raise TypeError("not a Variable", x)
+    return x
+
+
+class MyType(Type):
+    def filter(self, data):
+        return data
+
+    def __eq__(self, other):
+        return isinstance(other, MyType)
+
+    def __hash__(self):
+        return hash(MyType)
+
+
+def MyVariable(name):
+    return Variable(MyType(), None, None, name=name)
+
+
+class MyOp(Op):
+    def __init__(self, name, dmap=None, x=None):
+        self.name = name
+        if dmap is None:
+            dmap = {}
+        self.destroy_map = dmap
+        self.x = x
+
+    def make_node(self, *inputs):
+        inputs = list(map(is_variable, inputs))
+        for input in inputs:
+            if not isinstance(input.type, MyType):
+                raise Exception("Error 1")
+        outputs = [MyType()()]
+        return Apply(self, inputs, outputs)
+
+    def __str__(self):
+        return self.name
+
+    def __repr__(self):
+        return self.name
+
+    def __eq__(self, other):
+        # rval = (self is other) or (isinstance(other, MyOp) and self.x is not None and self.x == other.x and self.name == other.name)
+        rval = (self is other) or (
+            isinstance(other, MyOp) and self.x is not None and self.x == other.x
+        )
+        return rval
+
+    def __hash__(self):
+        # return hash(self.x if self.x is not None else id(self)) ^ hash(self.name)
+        if self.x is not None:
+            return hash(self.x)
+        else:
+            return id(self)
+
+
+op1 = MyOp("Op1")
+op2 = MyOp("Op2")
+op3 = MyOp("Op3")
+op4 = MyOp("Op4")
+op5 = MyOp("Op5")
+op6 = MyOp("Op6")
+op_d = MyOp("OpD", {0: [0]})
+
+op_y = MyOp("OpY", x=1)
+op_z = MyOp("OpZ", x=1)