numpy · mattip · Sep 3, 2020 · May 1, 2020 · May 20, 2020 · May 20, 2020
diff --git a/doc/release/upcoming_changes/16134.compatibility.rst b/doc/release/upcoming_changes/16134.compatibility.rst
@@ -0,0 +1,8 @@
+Same kind casting in concatenate with ``axis=None``
+---------------------------------------------------
+When `~numpy.concatenate` is called with `axis=None`,
+the flattened arrays were cast with ``unsafe``. Any other axis
+choice uses "same kind". That different default
+has been deprecated and "same kind" casting will be used
+instead. The new ``casting`` keyword argument
+can be used to retain the old behaviour.
diff --git a/doc/release/upcoming_changes/16134.improvement.rst b/doc/release/upcoming_changes/16134.improvement.rst
@@ -0,0 +1,6 @@
+Concatenate supports providing an output dtype
+----------------------------------------------
+Support was added to `~numpy.concatenate` to provide
+an output ``dtype`` and ``casting`` using keyword
+arguments. The ``dtype`` argument cannot be provided
+in conjunction with the ``out`` one.
diff --git a/numpy/core/multiarray.py b/numpy/core/multiarray.py
@@ -141,9 +141,9 @@ def empty_like(prototype, dtype=None, order=None, subok=None, shape=None):
 
 
 @array_function_from_c_func_and_dispatcher(_multiarray_umath.concatenate)
-def concatenate(arrays, axis=None, out=None):
+def concatenate(arrays, axis=None, out=None, *, dtype=None, casting=None):
     """
-    concatenate((a1, a2, ...), axis=0, out=None)
+    concatenate((a1, a2, ...), axis=0, out=None, dtype=None, casting="same_kind")
 
     Join a sequence of arrays along an existing axis.
 
@@ -159,6 +159,16 @@ def concatenate(arrays, axis=None, out=None):
         If provided, the destination to place the result. The shape must be
         correct, matching that of what concatenate would have returned if no
         out argument were specified.
+    dtype : str or dtype
+        If provided, the destination array will have this dtype. Cannot be
+        provided together with `out`.
+
+        ..versionadded:: 1.20.0
+
+    casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional
+        Controls what kind of data casting may occur. Defaults to 'same_kind'.
+
+        ..versionadded:: 1.20.0
 
     Returns
     -------

diff --git a/numpy/core/src/multiarray/ctors.c b/numpy/core/src/multiarray/ctors.c
@@ -1578,6 +1578,7 @@ PyArray_CheckFromAny(PyObject *op, PyArray_Descr *descr, int min_depth,
     return obj;
 }
 
+
 /*NUMPY_API
  * steals reference to newtype --- acc. NULL
  */
@@ -2252,7 +2253,10 @@ PyArray_EnsureAnyArray(PyObject *op)
     return PyArray_EnsureArray(op);
 }
 
-/* TODO: Put the order parameter in PyArray_CopyAnyInto and remove this */
+/*
+ * Private implementation of PyArray_CopyAnyInto with an additional order
+ * parameter.
+ */
 NPY_NO_EXPORT int
 PyArray_CopyAsFlat(PyArrayObject *dst, PyArrayObject *src, NPY_ORDER order)
 {

diff --git a/numpy/core/src/multiarray/multiarraymodule.c b/numpy/core/src/multiarray/multiarraymodule.c
@@ -362,7 +362,8 @@ PyArray_GetSubType(int narrays, PyArrayObject **arrays) {
  */
 NPY_NO_EXPORT PyArrayObject *
 PyArray_ConcatenateArrays(int narrays, PyArrayObject **arrays, int axis,
-                          PyArrayObject* ret)
+                          PyArrayObject* ret, PyArray_Descr *dtype,
+                          NPY_CASTING casting)
 {
     int iarrays, idim, ndim;
     npy_intp shape[NPY_MAXDIMS];
@@ -426,6 +427,7 @@ PyArray_ConcatenateArrays(int narrays, PyArrayObject **arrays, int axis,
     }
 
     if (ret != NULL) {
+        assert(dtype == NULL);
         if (PyArray_NDIM(ret) != ndim) {
             PyErr_SetString(PyExc_ValueError,
                             "Output array has wrong dimensionality");
@@ -445,10 +447,16 @@ PyArray_ConcatenateArrays(int narrays, PyArrayObject **arrays, int axis,
         /* Get the priority subtype for the array */
         PyTypeObject *subtype = PyArray_GetSubType(narrays, arrays);
 
-        /* Get the resulting dtype from combining all the arrays */
-        PyArray_Descr *dtype = PyArray_ResultType(narrays, arrays, 0, NULL);
         if (dtype == NULL) {
-            return NULL;
+            /* Get the resulting dtype from combining all the arrays */
+            dtype = (PyArray_Descr *)PyArray_ResultType(
+                                                narrays, arrays, 0, NULL);
+            if (dtype == NULL) {
+                return NULL;
+            }
+        }
+        else {
+            Py_INCREF(dtype);
         }
 
         /*
@@ -494,7 +502,7 @@ PyArray_ConcatenateArrays(int narrays, PyArrayObject **arrays, int axis,
 
         /* Copy the data for this array */
         if (PyArray_AssignArray((PyArrayObject *)sliding_view, arrays[iarrays],
-                            NULL, NPY_SAME_KIND_CASTING) < 0) {
+                            NULL, casting) < 0) {
             Py_DECREF(sliding_view);
             Py_DECREF(ret);
             return NULL;
@@ -514,7 +522,9 @@ PyArray_ConcatenateArrays(int narrays, PyArrayObject **arrays, int axis,
  */
 NPY_NO_EXPORT PyArrayObject *
 PyArray_ConcatenateFlattenedArrays(int narrays, PyArrayObject **arrays,
-                                    NPY_ORDER order, PyArrayObject *ret)
+                                   NPY_ORDER order, PyArrayObject *ret,
+                                   PyArray_Descr *dtype, NPY_CASTING casting,
+                                   npy_bool casting_not_passed)
 {
     int iarrays;
     npy_intp shape = 0;
@@ -541,7 +551,10 @@ PyArray_ConcatenateFlattenedArrays(int narrays, PyArrayObject **arrays,
         }
     }
 
+    int out_passed = 0;
     if (ret != NULL) {
+        assert(dtype == NULL);
+        out_passed = 1;
         if (PyArray_NDIM(ret) != 1) {
             PyErr_SetString(PyExc_ValueError,
                             "Output array must be 1D");
@@ -560,10 +573,16 @@ PyArray_ConcatenateFlattenedArrays(int narrays, PyArrayObject **arrays,
         /* Get the priority subtype for the array */
         PyTypeObject *subtype = PyArray_GetSubType(narrays, arrays);
 
-        /* Get the resulting dtype from combining all the arrays */
-        PyArray_Descr *dtype = PyArray_ResultType(narrays, arrays, 0, NULL);
         if (dtype == NULL) {
-            return NULL;
+            /* Get the resulting dtype from combining all the arrays */
+            dtype = (PyArray_Descr *)PyArray_ResultType(
+                                            narrays, arrays, 0, NULL);
+            if (dtype == NULL) {
+                return NULL;
+            }
+        }
+        else {
+            Py_INCREF(dtype);
         }
 
         stride = dtype->elsize;
@@ -593,10 +612,37 @@ PyArray_ConcatenateFlattenedArrays(int narrays, PyArrayObject **arrays,
         return NULL;
     }
 
+    int give_deprecation_warning = 1;  /* To give warning for just one input array. */
     for (iarrays = 0; iarrays < narrays; ++iarrays) {
         /* Adjust the window dimensions for this array */
         sliding_view->dimensions[0] = PyArray_SIZE(arrays[iarrays]);
 
+        if (!PyArray_CanCastArrayTo(
+                arrays[iarrays], PyArray_DESCR(ret), casting)) {
+            /* This should be an error, but was previously allowed here. */
+            if (casting_not_passed && out_passed) {
+                /* NumPy 1.20, 2020-09-03 */
+                if (give_deprecation_warning && DEPRECATE(
+                        "concatenate() with `axis=None` will use same-kind "
+                        "casting by default in the future. Please use "
+                        "`casting='unsafe'` to retain the old behaviour. "
+                        "In the future this will be a TypeError.") < 0) {
+                    Py_DECREF(sliding_view);
+                    Py_DECREF(ret);
+                    return NULL;
+                }
+                give_deprecation_warning = 0;
+            }
+            else {
+                npy_set_invalid_cast_error(
+                        PyArray_DESCR(arrays[iarrays]), PyArray_DESCR(ret),
+                        casting, PyArray_NDIM(arrays[iarrays]) == 0);
+                Py_DECREF(sliding_view);
+                Py_DECREF(ret);
+                return NULL;
+            }
+        }
+
         /* Copy the data for this array */
         if (PyArray_CopyAsFlat((PyArrayObject *)sliding_view, arrays[iarrays],
                             order) < 0) {
@@ -614,8 +660,21 @@ PyArray_ConcatenateFlattenedArrays(int narrays, PyArrayObject **arrays,
     return ret;
 }
 
+
+/**
+ * Implementation for np.concatenate
+ *
+ * @param op Sequence of arrays to concatenate
+ * @param axis Axis to concatenate along
+ * @param ret output array to fill
+ * @param dtype Forced output array dtype (cannot be combined with ret)
+ * @param casting Casting mode used
+ * @param casting_not_passed Deprecation helper
+ */
 NPY_NO_EXPORT PyObject *
-PyArray_ConcatenateInto(PyObject *op, int axis, PyArrayObject *ret)
+PyArray_ConcatenateInto(PyObject *op,
+        int axis, PyArrayObject *ret, PyArray_Descr *dtype,
+        NPY_CASTING casting, npy_bool casting_not_passed)
 {
     int iarrays, narrays;
     PyArrayObject **arrays;
@@ -625,6 +684,12 @@ PyArray_ConcatenateInto(PyObject *op, int axis, PyArrayObject *ret)
                         "The first input argument needs to be a sequence");
         return NULL;
     }
+    if (ret != NULL && dtype != NULL) {
+        PyErr_SetString(PyExc_TypeError,
+                "concatenate() only takes `out` or `dtype` as an "
+                "argument, but both were provided.");
+        return NULL;
+    }
 
     /* Convert the input list into arrays */
     narrays = PySequence_Size(op);
@@ -651,10 +716,13 @@ PyArray_ConcatenateInto(PyObject *op, int axis, PyArrayObject *ret)
     }
 
     if (axis >= NPY_MAXDIMS) {
-        ret = PyArray_ConcatenateFlattenedArrays(narrays, arrays, NPY_CORDER, ret);
+        ret = PyArray_ConcatenateFlattenedArrays(
+                narrays, arrays, NPY_CORDER, ret, dtype,
+                casting, casting_not_passed);
     }
     else {
-        ret = PyArray_ConcatenateArrays(narrays, arrays, axis, ret);
+        ret = PyArray_ConcatenateArrays(
+                narrays, arrays, axis, ret, dtype, casting);
     }
 
     for (iarrays = 0; iarrays < narrays; ++iarrays) {
@@ -686,7 +754,16 @@ PyArray_ConcatenateInto(PyObject *op, int axis, PyArrayObject *ret)
 NPY_NO_EXPORT PyObject *
 PyArray_Concatenate(PyObject *op, int axis)
 {
-    return PyArray_ConcatenateInto(op, axis, NULL);
+    /* retain legacy behaviour for casting */
+    NPY_CASTING casting;
+    if (axis >= NPY_MAXDIMS) {
+        casting = NPY_UNSAFE_CASTING;
+    }
+    else {
+        casting = NPY_SAME_KIND_CASTING;
+    }
+    return PyArray_ConcatenateInto(
+            op, axis, NULL, NULL, casting, 0);
 }
 
 static int
@@ -2259,11 +2336,27 @@ array_concatenate(PyObject *NPY_UNUSED(dummy), PyObject *args, PyObject *kwds)
 {
     PyObject *a0;
     PyObject *out = NULL;
+    PyArray_Descr *dtype = NULL;
+    NPY_CASTING casting = NPY_SAME_KIND_CASTING;
+    PyObject *casting_obj = NULL;
+    PyObject *res;
     int axis = 0;
-    static char *kwlist[] = {"seq", "axis", "out", NULL};
-
-    if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|O&O:concatenate", kwlist,
-                &a0, PyArray_AxisConverter, &axis, &out)) {
+    static char *kwlist[] = {"seq", "axis", "out", "dtype", "casting", NULL};
+    if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|O&O$O&O:concatenate", kwlist,
+                &a0, PyArray_AxisConverter, &axis, &out,
+                PyArray_DescrConverter2, &dtype, &casting_obj)) {
+        return NULL;
+    }
+    int casting_not_passed = 0;
+    if (casting_obj == NULL) {
+        /*
+         * Casting was not passed in, needed for deprecation only.
+         * This should be simplified once the deprecation is finished.
+         */
+        casting_not_passed = 1;
+    }
+    else if (!PyArray_CastingConverter(casting_obj, &casting)) {
+        Py_XDECREF(dtype);
         return NULL;
     }
     if (out != NULL) {
@@ -2272,10 +2365,14 @@ array_concatenate(PyObject *NPY_UNUSED(dummy), PyObject *args, PyObject *kwds)
         }
         else if (!PyArray_Check(out)) {
             PyErr_SetString(PyExc_TypeError, "'out' must be an array");
+            Py_XDECREF(dtype);
             return NULL;
         }
     }
-    return PyArray_ConcatenateInto(a0, axis, (PyArrayObject *)out);
+    res = PyArray_ConcatenateInto(a0, axis, (PyArrayObject *)out, dtype,
+            casting, casting_not_passed);
+    Py_XDECREF(dtype);
+    return res;
 }
 
 static PyObject *

diff --git a/numpy/core/tests/test_deprecations.py b/numpy/core/tests/test_deprecations.py
@@ -707,3 +707,24 @@ def test_deprecated(self):
         self.assert_deprecated(lambda: np.array([arr, [0]], dtype=np.float64))
         self.assert_deprecated(lambda: np.array([[0], arr], dtype=np.float64))
 
+
+class FlatteningConcatenateUnsafeCast(_DeprecationTestCase):
+    # NumPy 1.20, 2020-09-03
+    message = "concatenate with `axis=None` will use same-kind casting"
+
+    def test_deprecated(self):
+        self.assert_deprecated(np.concatenate,
+                args=(([0.], [1.]),),
+                kwargs=dict(axis=None, out=np.empty(2, dtype=np.int64)))
+
+    def test_not_deprecated(self):
+        self.assert_not_deprecated(np.concatenate,
+                args=(([0.], [1.]),),
+                kwargs={'axis': None, 'out': np.empty(2, dtype=np.int64),
+                        'casting': "unsafe"})
+
+        with assert_raises(TypeError):
+            # Tests should notice if the deprecation warning is given first...
+            np.concatenate(([0.], [1.]), out=np.empty(2, dtype=np.int64),
+                           casting="same_kind")
+
diff --git a/numpy/core/tests/test_shape_base.py b/numpy/core/tests/test_shape_base.py
@@ -342,19 +342,32 @@ def test_bad_out_shape(self):
         assert_raises(ValueError, concatenate, (a, b), out=np.empty((1,4)))
         concatenate((a, b), out=np.empty(4))
 
-    def test_out_dtype(self):
-        out = np.empty(4, np.float32)
-        res = concatenate((array([1, 2]), array([3, 4])), out=out)
-        assert_(out is res)
-
-        out = np.empty(4, np.complex64)
-        res = concatenate((array([0.1, 0.2]), array([0.3, 0.4])), out=out)
-        assert_(out is res)
-
-        # invalid cast
-        out = np.empty(4, np.int32)
-        assert_raises(TypeError, concatenate,
-            (array([0.1, 0.2]), array([0.3, 0.4])), out=out)
+    @pytest.mark.parametrize("axis", [None, 0])
+    @pytest.mark.parametrize("out_dtype", ["c8", "f4", "f8", ">f8", "i8"])
+    @pytest.mark.parametrize("casting",
+            ['no', 'equiv', 'safe', 'same_kind', 'unsafe'])
+    def test_out_and_dtype(self, axis, out_dtype, casting):
+        # Compare usage of `out=out` with `dtype=out.dtype`
+        out = np.empty(4, dtype=out_dtype)
+        to_concat = (array([1.1, 2.2]), array([3.3, 4.4]))
+
+        if not np.can_cast(to_concat[0], out_dtype, casting=casting):
+            with assert_raises(TypeError):
+                concatenate(to_concat, out=out, axis=axis, casting=casting)
+            with assert_raises(TypeError):
+                concatenate(to_concat, dtype=out.dtype,
+                            axis=axis, casting=casting)
+        else:
+            res_out = concatenate(to_concat, out=out,
+                                  axis=axis, casting=casting)
+            res_dtype = concatenate(to_concat, dtype=out.dtype,
+                                    axis=axis, casting=casting)
+            assert res_out is out
+            assert_array_equal(out, res_dtype)
+            assert res_dtype.dtype == out_dtype
+
+        with assert_raises(TypeError):
+            concatenate(to_concat, out=out, dtype=out_dtype, axis=axis)
 
 
 def test_stack():