feat(frontend-python): add support for np.copy

frontends/concrete-python/concrete/fhe/mlir/converter.py

@@ -307,6 +307,10 @@ class Converter:
         ctx.error({node: "3-dimensional convolutions are not supported at the moment"})
         assert False, "unreachable"  # pragma: no cover
 
+    def copy(self, ctx: Context, node: Node, preds: List[Conversion]) -> Conversion:
+        assert len(preds) == 1
+        return preds[0]
+
     def dot(self, ctx: Context, node: Node, preds: List[Conversion]) -> Conversion:
         assert len(preds) == 2
         return ctx.dot(ctx.typeof(node), preds[0], preds[1])

frontends/concrete-python/concrete/fhe/tracing/tracer.py

@@ -226,6 +226,7 @@ class Tracer:
         np.ceil,
         np.clip,
         np.concatenate,
+        np.copy,
         np.copysign,
         np.cos,
         np.cosh,

frontends/concrete-python/tests/execution/test_others.py

@@ -202,6 +202,16 @@ def deterministic_unary_function(x):
     return np.vectorize(per_element)(x)
 
 
+def copy_modify(x):
+    """
+    A function that used `np.copy` and then modifies the copied object.
+    """
+
+    y = np.copy(x)
+    y[1] = np.sum(x)
+    return np.concatenate((x, y))
+
+
 @pytest.mark.parametrize(
     "function,parameters",
     [
@@ -691,6 +701,13 @@ def deterministic_unary_function(x):
             },
             id="fhe.LookupTable([10, 5])[x > 5]",
         ),
+        pytest.param(
+            copy_modify,
+            {
+                "x": {"status": "encrypted", "range": [0, 10], "shape": (3,)},
+            },
+            id="copy_modify",
+        ),
     ],
 )
 def test_others(function, parameters, helpers):