Reformatted array_equal

ivy/data_classes/array/general.py

@@ -807,6 +807,12 @@ def array_equal(self: ivy.Array, x: Union[ivy.Array, ivy.NativeArray], /) -> boo
         >>> c = a.array_equal(b)
         >>> print(c)
         True
+
+        >>> i = ivy.array([1, 2])
+        >>> j = ivy.array([1, 2, 3])
+        >>> k = i.array_equal(j)
+        >>> print(k)
+        False
         """
         return ivy.array_equal(self, x)
 

ivy/data_classes/container/general.py

@@ -4031,14 +4031,25 @@ def array_equal(
         >>> b = ivy.array([[-2., 1.], [1. ,2.]])
         >>> c = ivy.array([[0., 1.], [1. ,0.]])
         >>> d = ivy.array([[2., 1.], [1. ,2.]])
-        >>> a0 = ivy.Container(a = a, b = b)
-        >>> a1 = ivy.Container(a = c, b = d)
-        >>> y = a0.array_equal(a1)
+        >>> a1 = ivy.Container(a = a, b = b)
+        >>> a2 = ivy.Container(a = c, b = d)
+        >>> y = a1.array_equal(a2)
         >>> print(y)
         {
             a: True,
             b: False
         }
+
+        >>> x1 = ivy.Container(a=ivy.native_array([1, 0, 0]),
+                               b=ivy.array([1, 2, 3]))
+        >>> x2 = ivy.Container(a=ivy.native_array([1, 0, 1]),
+                               b=ivy.array([1, 2, 3]))
+        >>> y = x1.array_equal(x2)
+        >>> print(y)
+        {
+            a: False,
+            b: True
+        }
         """
         return _ContainerWithGeneral._static_array_equal(
             self,

ivy/functional/backends/tensorflow/general.py

@@ -37,7 +37,7 @@ def array_equal(
     /,
 ) -> bool:
     x0, x1 = ivy.promote_types_of_inputs(x0, x1)
-    return bool((tf.experimental.numpy.array_equal(x0, x1)))
+    return bool(tf.experimental.numpy.array_equal(x0, x1))
 
 
 def container_types():