Merge branch 'release/0.5.8'

Author: szymonlopaciuk

.gitignore

@@ -8,4 +8,5 @@ cov_html
 .vscode
 .pytest_cache
 .coverage
+.idea
 *.c

Architecture.md

@@ -40,19 +40,19 @@ Buffer:
 
 Types can be composed of:
 - scalar: numbers, String
-- compound: Struct, Array, Ref, UnionRef 
+- compound: Struct, Array, Ref, UnionRef
 
 ### Scalars
 - examples: Float64, Int64, ...
 - create: Float64(3.14)
 - memory layout
-    - data 
+    - data
 
 ### String:
 - create: String(string_or_int)
 - memory layout
     - size
-    - data 
+    - data
 
 
 ### Struct

LICENSE

@@ -198,4 +198,4 @@
    distributed under the License is distributed on an "AS IS" BASIS,
    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    See the License for the specific language governing permissions and
-   limitations under the License.
+   limitations under the License.

pyproject.toml

@@ -1,4 +1,50 @@
+[build-system]
+requires = [
+    "setuptools>=77.0"
+]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "xobjects"
+dynamic = ["version"]
+description = "In-memory serialization and code generator for CPU and GPU"
+readme = "README.md"
+authors = [
+    { name = "Riccardo De Maria", email = "[email protected]" }
+]
+license = "Apache-2.0"
+requires-python = ">=3.9"
+dependencies = [
+    "numpy",
+    "cffi",
+    "scipy"
+]
+[project.urls]
+Homepage = "https://xsuite.readthedocs.io/"
+"Bug Tracker" = "https://github.com/xsuite/xsuite/issues"
+Documentation = "https://xsuite.readthedocs.io/"
+"Source Code" = "https://github.com/xsuite/xobjects"
+"Download" = "https://pypi.python.org/pypi/xobjects"
+
+[project.optional-dependencies]
+tests = ["pytest", "pytest-mock"]
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["xobjects"]
+
+[tool.setuptools.dynamic]
+version = {attr = "xobjects._version.__version__"}
+
 [tool.black]
 line-length = 79
-target-version = ['py36', 'py37', 'py38']
+target-version = ['py310', 'py311', 'py312']
 include = '\.pyi?$'
+
+[project.entry-points.xobjects]
+include = "xobjects"
+
+[pytest]
+markers = [
+    "context_dependent: marks test as one that depends on the execution context",
+]

tests/test_capi.py

@@ -11,7 +11,7 @@
 import cffi
 
 import xobjects as xo
-
+from xobjects.test_helpers import for_all_test_contexts
 
 ffi = cffi.FFI()
 
@@ -158,6 +158,70 @@ def test_array_dynamic_type_init_get_set(array_cls, example_shape):
             assert arr[ii].field1[idx_in_field] == 13 * vv
 
 
+@for_all_test_contexts
+@pytest.mark.parametrize(
+    "array_type",
+    [
+        xo.UInt64[3, 5, 7],
+        xo.UInt64[:, :, :],
+        xo.UInt64[:, 5, :],
+    ],
+)
+def test_array_get_shape(test_context, array_type):
+    source = """
+        #include "xobjects/headers/common.h"
+
+        GPUKERN void get_nd_and_shape(
+            ARRAY_TYPE arr,
+            GPUGLMEM int64_t* out_nd,
+            GPUGLMEM int64_t* out_shape
+        ) {
+            *out_nd = ARRAY_TYPE_nd(arr);
+            ARRAY_TYPE_shape(arr, out_shape);
+        }
+    """.replace(
+        "ARRAY_TYPE", array_type.__name__
+    )
+
+    kernels = {
+        "get_nd_and_shape": xo.Kernel(
+            c_name="get_nd_and_shape",
+            args=[
+                xo.Arg(array_type, name="arr"),
+                xo.Arg(xo.Int64, pointer=True, name="out_nd"),
+                xo.Arg(xo.Int64, pointer=True, name="out_shape"),
+            ],
+        ),
+    }
+
+    test_context.add_kernels(
+        sources=[source],
+        kernels=kernels,
+    )
+
+    instance = array_type(
+        np.array(range(3 * 5 * 7)).reshape((3, 5, 7)),
+        _context=test_context,
+    )
+
+    expected_nd = 3
+    result_nd = test_context.zeros((1,), dtype=np.int64)
+
+    expected_shape = [3, 5, 7]
+    result_shape = test_context.zeros((expected_nd,), dtype=np.int64)
+
+    test_context.kernels.get_nd_and_shape(
+        arr=instance,
+        out_nd=result_nd,
+        out_shape=result_shape,
+    )
+
+    assert result_nd[0] == expected_nd
+    assert result_shape[0] == expected_shape[0]
+    assert result_shape[1] == expected_shape[1]
+    assert result_shape[2] == expected_shape[2]
+
+
 def test_struct1():
     kernels = Struct1._gen_kernels()
     ctx = xo.ContextCpu()
@@ -539,45 +603,190 @@ def test_getp1_dyn_length_dyn_type_string_array():
         assert ord(ffi.cast("char *", s2)[8 + ii]) == ch
 
 
-def test_gpu_api():
-    for ctx in xo.context.get_test_contexts():
-        src_code = """
-        /*gpufun*/
-        void myfun(double x, double y,
-            double* z){
-            z[0] = x * y;
-            }
+@for_all_test_contexts
+def test_gpu_api(test_context):
+    src_code = """
+    /*gpufun*/
+    void myfun(double x, double y,
+        double* z){
+        z[0] = x * y;
+        }
 
-        /*gpukern*/
-        void my_mul(const int n,
-            /*gpuglmem*/ const double* x1,
-            /*gpuglmem*/ const double* x2,
-            /*gpuglmem*/       double* y) {
-            int tid = 0 //vectorize_over tid n
-            double z;
-            myfun(x1[tid], x2[tid], &z);
-            y[tid] = z;
-            //end_vectorize
+    /*gpukern*/
+    void my_mul(const int n,
+        /*gpuglmem*/ const double* x1,
+        /*gpuglmem*/ const double* x2,
+        /*gpuglmem*/       double* y) {
+        int tid = 0 //vectorize_over tid n
+        double z;
+        myfun(x1[tid], x2[tid], &z);
+        y[tid] = z;
+        //end_vectorize
+        }
+    """
+
+    kernel_descriptions = {
+        "my_mul": xo.Kernel(
+            args=[
+                xo.Arg(xo.Int32, name="n"),
+                xo.Arg(xo.Float64, pointer=True, const=True, name="x1"),
+                xo.Arg(xo.Float64, pointer=True, const=True, name="x2"),
+                xo.Arg(xo.Float64, pointer=True, const=False, name="y"),
+            ],
+            n_threads="n",
+        ),
+    }
+
+    test_context.add_kernels(
+        sources=[src_code],
+        kernels=kernel_descriptions,
+        save_source_as=None,
+        compile=True,
+        extra_classes=[xo.String[:]],
+    )
+
+
+@for_all_test_contexts
+def test_array_of_arrays(test_context):
+    cell_ids = [3, 5, 7]
+    particle_per_cell = [
+        [1, 8],
+        [9, 3, 2],
+        [4, 5, 6, 7],
+    ]
+
+    class Cells(xo.Struct):
+        ids = xo.Int64[:]
+        particles = xo.Int64[:][:]
+
+    cells = Cells(
+        ids=cell_ids, particles=particle_per_cell, _context=test_context
+    )
+
+    # Data layout (displayed as uint64):
+    #
+    #   [0] 216 (cells size)
+    #   [8]  56 (offset field 2 -- particles field)
+    #  [16] cell_ids data:
+    #        [0] 40 (cell_ids size)
+    #        [8]  3 (cell_ids length)
+    #       [16] {3, 5, 7} (cell_ids elements)
+    #  [56] particles data:
+    #        [0] 160 (particles size)
+    #        [8]   3 (particles length)
+    #       [16]  40 (offset particles[0])
+    #       [24]  72 (offset particles[1])
+    #       [32] 112 (offset particles[2])
+    #       [40] particles[0] data:
+    #             [0] 32 (particles[0] size)
+    #             [8]  2 (particles[0] length)
+    #            [16] {1, 8} (particles[0] elements)
+    #       [72] particles[1] data:
+    #             [0] 40 (particles[1] size)
+    #             [8]  3 (particles[1] length)
+    #            [16] {9, 3, 2} (particles[1
+    #      [112] particles[2] data:
+    #             [0] 48 (particles[2] size)
+    #             [8]  4 (particles[2] length)
+    #            [16] {4, 5, 6, 7} (particles[2] elements)
+
+    src = r"""
+    #include "xobjects/headers/common.h"
+
+    static const int MAX_PARTICLES = 4;
+    static const int MAX_CELLS = 3;
+
+    GPUKERN void loop_over(
+        Cells cells,
+        GPUGLMEM uint64_t* out_counts,
+        GPUGLMEM uint64_t* out_vals,
+        GPUGLMEM uint8_t* success
+    )
+    {
+        int64_t num_cells = Cells_len_ids(cells);
+
+        for (int64_t i = 0; i < num_cells; i++) {
+            int64_t id = Cells_get_ids(cells, i);
+            int64_t count = Cells_len1_particles(cells, i);
+
+            if (i >= MAX_CELLS) {
+                *success = 0;
+                continue;
             }
-        """
-
-        kernel_descriptions = {
-            "my_mul": xo.Kernel(
-                args=[
-                    xo.Arg(xo.Int32, name="n"),
-                    xo.Arg(xo.Float64, pointer=True, const=True, name="x1"),
-                    xo.Arg(xo.Float64, pointer=True, const=True, name="x2"),
-                    xo.Arg(xo.Float64, pointer=True, const=False, name="y"),
-                ],
-                n_threads="n",
-            ),
+
+            out_counts[i] = count;
+
+            ArrNInt64 particles = Cells_getp1_particles(cells, i);
+            uint32_t num_particles = ArrNInt64_len(particles);
+
+            VECTORIZE_OVER(j, num_particles);
+                int64_t val = ArrNInt64_get(particles, j);
+
+                if (j >= MAX_PARTICLES) {
+                    *success = 0;
+                } else {
+                    out_vals[i * MAX_PARTICLES + j] = val;
+                }
+            END_VECTORIZE;
         }
+    }
+
+    GPUKERN void kernel_Cells_get_particles(
+        Cells obj,
+        int64_t i0,
+        int64_t i1,
+        GPUGLMEM int64_t* out
+    ) {
+        *out = Cells_get_particles(obj, i0, i1);
+    }
+    """
+
+    kernels = {
+        "loop_over": xo.Kernel(
+            args=[
+                xo.Arg(Cells, name="cells"),
+                xo.Arg(xo.UInt64, pointer=True, name="out_counts"),
+                xo.Arg(xo.UInt64, pointer=True, name="out_vals"),
+                xo.Arg(xo.UInt8, pointer=True, name="success"),
+            ],
+            n_threads=4,
+        ),
+        "kernel_Cells_get_particles": xo.Kernel(
+            args=[
+                xo.Arg(Cells, name="obj"),
+                xo.Arg(xo.Int64, name="i0"),
+                xo.Arg(xo.Int64, name="i1"),
+                xo.Arg(xo.Int64, pointer=True, name="out"),
+            ],
+        ),
+    }
+
+    test_context.add_kernels(
+        sources=[src],
+        kernels=kernels,
+    )
 
-        ctx.add_kernels(
-            sources=[src_code],
-            kernels=kernel_descriptions,
-            # save_src_as=f'_test_{name}.c')
-            save_source_as=None,
-            compile=True,
-            extra_classes=[xo.String[:]],
-        )
+    counts = test_context.zeros(len(cell_ids), dtype=np.uint64)
+    vals = test_context.zeros(12, dtype=np.uint64)
+    success = test_context.zeros((1,), dtype=np.uint8) + 1
+
+    for i, _ in enumerate(particle_per_cell):
+        for j, expected in enumerate(particle_per_cell[i]):
+            result = test_context.zeros(shape=(1,), dtype=np.int64)
+            test_context.kernels.kernel_Cells_get_particles(
+                obj=cells, i0=i, i1=j, out=result
+            )
+            assert result[0] == expected
+
+    test_context.kernels.loop_over(
+        cells=cells,
+        out_counts=counts,
+        out_vals=vals,
+        success=success,
+    )
+    counts = test_context.nparray_from_context_array(counts)
+    vals = test_context.nparray_from_context_array(vals)
+
+    assert success[0] == 1
+    assert np.all(counts == [2, 3, 4])
+    assert np.all(vals == [1, 8, 0, 0, 9, 3, 2, 0, 4, 5, 6, 7])