feat(frontend-python): fancy indexing

frontends/concrete-python/.pylintrc

@@ -442,6 +442,7 @@ disable=raw-checker-failed,
         too-many-locals,
         too-many-public-methods,
         too-many-statements,
+        too-many-return-statements,
         unnecessary-lambda-assignment,
         use-implicit-booleaness-not-comparison,
         wrong-import-order,

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

@@ -2055,13 +2055,16 @@ def index_static(
         self,
         resulting_type: ConversionType,
         x: Conversion,
-        index: Sequence[Union[int, np.integer, slice]],
+        index: Sequence[Union[int, np.integer, slice, np.ndarray, list]],
     ) -> Conversion:
         assert self.is_bit_width_compatible(resulting_type, x)
         assert resulting_type.is_encrypted == x.is_encrypted
 
         x = self.to_signedness(x, of=resulting_type)
 
+        if any(isinstance(indexing_element, (list, np.ndarray)) for indexing_element in index):
+            return self.index_static_fancy(resulting_type, x, index)
+
         index = list(index)
         while len(index) < len(x.shape):
             index.append(slice(None, None, None))
@@ -2182,6 +2185,40 @@ def index_static(
             ),
         )
 
+    def index_static_fancy(
+        self,
+        resulting_type: ConversionType,
+        x: Conversion,
+        index: Sequence[Union[int, np.integer, slice, np.ndarray, list]],
+    ) -> Conversion:
+        resulting_element_type = (self.eint if resulting_type.is_unsigned else self.esint)(
+            resulting_type.bit_width
+        )
+
+        result = self.zeros(resulting_type)
+        for destination_position in np.ndindex(resulting_type.shape):
+            source_position = []
+            for indexing_element in index:
+                if isinstance(indexing_element, (int, np.integer)):
+                    source_position.append(indexing_element)
+
+                elif isinstance(indexing_element, (list, np.ndarray)):
+                    position = indexing_element[destination_position[0]]
+                    for n in range(1, len(destination_position)):
+                        position = position[destination_position[n]]
+                    source_position.append(position)
+
+                else:  # pragma: no cover
+                    message = f"invalid indexing element of type {type(indexing_element)}"
+                    raise AssertionError(message)
+
+            source_position = tuple(source_position)
+
+            element = self.index_static(resulting_element_type, x, source_position)
+            result = self.assign_static(resulting_type, result, element, destination_position)
+
+        return result
+
     def less(self, resulting_type: ConversionType, x: Conversion, y: Conversion) -> Conversion:
         return self.comparison(resulting_type, x, y, accept={Comparison.LESS})
 

frontends/concrete-python/concrete/fhe/representation/utils.py

@@ -110,5 +110,9 @@ def format_indexing_element(indexing_element: Union[int, np.integer, slice, Any]
             result += ":"
             result += str(indexing_element.step)
     else:
-        result += str(indexing_element)
+        result += (
+            str(indexing_element)
+            if not isinstance(indexing_element, np.ndarray)
+            else str(indexing_element.tolist())
+        )
     return result.replace("\n", " ")

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

@@ -742,7 +742,13 @@ def transpose(self, axes: Optional[Tuple[int, ...]] = None) -> "Tracer":
     def __getitem__(
         self,
         index: Union[
-            int, np.integer, slice, "Tracer", Tuple[Union[int, np.integer, slice, "Tracer"], ...]
+            int,
+            np.integer,
+            slice,
+            np.ndarray,
+            list,
+            Tuple[Union[int, np.integer, slice, np.ndarray, list, "Tracer"], ...],
+            "Tracer",
         ],
     ) -> "Tracer":
         if (
@@ -762,11 +768,27 @@ def __getitem__(
         if not isinstance(index, tuple):
             index = (index,)
 
+        is_fancy = False
+        has_slices = False
+
         reject = False
         for indexing_element in index:
+            if isinstance(indexing_element, list):
+                try:
+                    indexing_element = np.array(indexing_element)
+                except Exception:  # pylint: disable=broad-except
+                    reject = True
+                    break
+
+            if isinstance(indexing_element, np.ndarray):
+                is_fancy = True
+                reject = not np.issubdtype(indexing_element.dtype, np.integer)
+                continue
+
             valid = isinstance(indexing_element, (int, np.integer, slice))
 
             if isinstance(indexing_element, slice):  # noqa: SIM102
+                has_slices = True
                 if (
                     not (
                         indexing_element.start is None
@@ -787,7 +809,7 @@ def __getitem__(
                 reject = True
                 break
 
-        if reject:
+        if reject or (is_fancy and has_slices):
             indexing_elements = [
                 format_indexing_element(indexing_element) for indexing_element in index
             ]

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

@@ -151,6 +151,63 @@
             lambda x: x[slice(np.int64(8), np.int64(2), np.int64(-2))],
             id="x[8:2:-2] where x.shape == (10,)",
         ),
+        pytest.param(
+            (5,),
+            lambda x: x[[3, 1, 2]],
+            id="x[[3, 1, 2]] where x.shape == (5,)",
+        ),
+        pytest.param(
+            (5,),
+            lambda x: x[
+                [
+                    [3, 0],
+                    [1, 2],
+                ]
+            ],
+            id="x[[[3, 0], [1, 2]]] where x.shape == (5,)",
+        ),
+        pytest.param(
+            (5, 4),
+            lambda x: x[
+                [0, 0, 4, 4],
+                [0, 3, 0, 3],
+            ],
+            id="x[[0, 0, 4, 4], [0, 3, 0, 3]] where x.shape == (5, 4)",
+        ),
+        pytest.param(
+            (5, 4),
+            lambda x: x[
+                0,
+                [0, 3, 0, 3],
+            ],
+            id="x[0, [0, 3, 0, 3]] where x.shape == (5, 4)",
+        ),
+        pytest.param(
+            (5, 4),
+            lambda x: x[
+                [0, 0, 4, 4],
+                0,
+            ],
+            id="x[[0, 0, 4, 4], 0] where x.shape == (5, 4)",
+        ),
+        pytest.param(
+            (5, 4),
+            lambda x: x[
+                [[0, 0], [4, 4]],
+                [[0, 3], [0, 3]],
+            ],
+            id="x[[[0, 0], [4, 4]], [[0, 3], [0, 3]]] where x.shape == (5, 4)",
+        ),
+        pytest.param(
+            (5, 4),
+            lambda x: x[0, [[0, 3], [0, 3]]],
+            id="x[0, [[0, 3], [0, 3]]] where x.shape == (5, 4)",
+        ),
+        pytest.param(
+            (5, 4),
+            lambda x: x[[[0, 3], [0, 3]], 0],
+            id="x[[[0, 3], [0, 3]], 0] where x.shape == (5, 4)",
+        ),
     ],
 )
 def test_static_indexing(shape, function, helpers):