void pydynd::array_setitem(const dynd::nd::array &n, PyObject *subscript,
PyObject *value)
{
if (subscript == Py_Ellipsis) {
n.assign(value);
#if PY_VERSION_HEX < 0x03000000
}
else if (PyInt_Check(subscript)) {
long i = PyInt_AS_LONG(subscript);
n(i).assign(value);
#endif // PY_VERSION_HEX < 0x03000000
}
else if (PyLong_Check(subscript)) {
intptr_t i = PyLong_AsSsize_t(subscript);
if (i == -1 && PyErr_Occurred()) {
throw runtime_error("error converting int value");
}
n(i).assign(value);
}
else {
intptr_t size;
shortvector<irange> indices;
pyobject_as_irange_array(size, indices, subscript);
n.at_array(size, indices.get(), false).assign(value);
}
}
void
pydynd::array_broadcast_assign_from_py(const dynd::nd::array &a,
PyObject *value,
const dynd::eval::eval_context *ectx)
{
array_broadcast_assign_from_py(a.get_type(), a.get_arrmeta(),
a.get_readwrite_originptr(), value, ectx);
}
void
pydynd::array_broadcast_assign_from_py(const dynd::nd::array &a,
PyObject *value,
const dynd::eval::eval_context *ectx)
{
array_broadcast_assign_from_py(a.get_type(), a.get()->metadata(), a.data(),
value, ectx);
}
inline bool array_is_c_contiguous(const dynd::nd::array &n)
{
intptr_t ndim = n.get_ndim();
dynd::dimvector shape(ndim), strides(ndim);
n.get_shape(shape.get());
n.get_strides(strides.get());
return dynd::strides_are_c_contiguous(ndim, n.get_dtype().get_data_size(),
shape.get(), strides.get());
}
dynd::nd::array pydynd::array_getitem(const dynd::nd::array& n, PyObject *subscript)
{
if (subscript == Py_Ellipsis) {
return n.at_array(0, NULL);
} else {
// Convert the pyobject into an array of iranges
intptr_t size;
shortvector<irange> indices;
pyobject_as_irange_array(size, indices, subscript);
// Do an indexing operation
return n.at_array(size, indices.get());
}
}
inline ::testing::AssertionResult CompareDyNDArrayToJSON(const char *expr1, const char *expr2, const char *json,
const dynd::nd::array &b)
{
using namespace dynd;
nd::array a(nd::empty(b.get_type()));
parse_json(a, json);
return CompareDyNDArrays(expr1, expr2, a, b);
}
void pydynd::array_setitem(const dynd::nd::array& n, PyObject *subscript, PyObject *value)
{
if (subscript == Py_Ellipsis) {
array_broadcast_assign_from_py(n, value);
#if PY_VERSION_HEX < 0x03000000
} else if (PyInt_Check(subscript)) {
long i = PyInt_AS_LONG(subscript);
const char *metadata = n.get_ndo_meta();
char *data = n.get_readwrite_originptr();
ndt::type d = n.get_type().at_single(i, &metadata, const_cast<const char **>(&data));
array_broadcast_assign_from_py(d, metadata, data, value);
#endif // PY_VERSION_HEX < 0x03000000
} else if (PyLong_Check(subscript)) {
intptr_t i = PyLong_AsSsize_t(subscript);
if (i == -1 && PyErr_Occurred()) {
throw runtime_error("error converting int value");
}
const char *metadata = n.get_ndo_meta();
char *data = n.get_readwrite_originptr();
ndt::type d = n.get_type().at_single(i, &metadata, const_cast<const char **>(&data));
array_broadcast_assign_from_py(d, metadata, data, value);
} else {
intptr_t size;
shortvector<irange> indices;
pyobject_as_irange_array(size, indices, subscript);
array_broadcast_assign_from_py(n.at_array(size, indices.get(), false), value);
}
}
inline ::testing::AssertionResult CompareDyNDArrayValues(const char *expr1, const char *expr2,
const dynd::nd::array &val1, const dynd::nd::array &val2)
{
using namespace dynd;
ndt::type common_tp;
try {
common_tp = promote_types_arithmetic(val1.get_type(), val2.get_type());
}
catch (const type_error &) {
return ::testing::AssertionFailure() << "The types of " << expr1 << " and " << expr2
<< " do not have mutually promotable types\n" << expr1 << " has type "
<< val1.get_type() << ",\n" << expr2 << " has type " << val2.get_type() << ".";
}
nd::array v1 = nd::empty(common_tp), v2 = nd::empty(common_tp);
v1.vals() = val1;
v2.vals() = val2;
return CompareDyNDArrays(expr1, expr2, v1, v2);
}
bool pydynd::array_contains(const dynd::nd::array& n, PyObject *x)
{
if (n.get_ndo() == NULL) {
return false;
}
if (n.get_ndim() == 0) {
// TODO: Allow for struct types, etc?
throw runtime_error("cannot call __contains__ on a scalar dynd array");
}
// Turn 'n' into type/metadata/data with a uniform_dim leading dimension
nd::array tmp;
ndt::type dt;
const base_uniform_dim_type *budd;
const char *metadata, *data;
if (n.get_type().get_kind() == uniform_dim_kind) {
dt = n.get_type();
budd = static_cast<const base_uniform_dim_type *>(dt.extended());
metadata = n.get_ndo_meta();
data = n.get_readonly_originptr();
} else {
tmp = n.eval();
if (tmp.get_type().get_kind() != uniform_dim_kind) {
throw runtime_error("internal error in array_contains: expected uniform_dim kind after eval() call");
}
dt = tmp.get_type();
budd = static_cast<const base_uniform_dim_type *>(dt.extended());
metadata = tmp.get_ndo_meta();
data = tmp.get_readonly_originptr();
}
// Turn 'x' into a dynd array, and make a comparison kernel
nd::array x_ndo = array_from_py(x, 0, false);
const ndt::type& x_dt = x_ndo.get_type();
const char *x_metadata = x_ndo.get_ndo_meta();
const char *x_data = x_ndo.get_readonly_originptr();
const ndt::type& child_dt = budd->get_element_type();
const char *child_metadata = metadata + budd->get_element_metadata_offset();
comparison_ckernel_builder k;
try {
make_comparison_kernel(&k, 0,
x_dt, x_metadata, child_dt, child_metadata,
comparison_type_equal, &eval::default_eval_context);
} catch(const not_comparable_error&) {
return false;
}
contains_data aux;
aux.x_data = x_data;
aux.k = &k;
aux.found = false;
budd->foreach_leading(const_cast<char *>(data), metadata, &contains_callback, &aux);
return aux.found;
}
inline ::testing::AssertionResult AssertArrayNear(const char *expected_expr, const char *actual_expr,
const char *rel_error_max_expr, const dynd::nd::array &expected,
const dynd::nd::array &actual, double rel_error_max)
{
const dynd::ndt::type &expected_tp = expected.get_type();
const dynd::ndt::type &actual_tp = actual.get_type();
if (expected_tp.get_type_id() == dynd::cuda_device_type_id && actual_tp.get_type_id() == dynd::cuda_device_type_id) {
return AssertArrayNear(expected_expr, actual_expr, rel_error_max_expr, expected.to_host(), actual.to_host(),
rel_error_max);
}
std::unique_ptr<test_class<dynd::complex<double>>> c(new test_class<dynd::complex<double>>(rel_error_max));
dynd::nd::callable af = dynd::nd::functional::elwise(dynd::nd::functional::apply(c.get()));
af(expected, actual);
bool res = c->flag;
if (res) {
return ::testing::AssertionSuccess();
}
return ::testing::AssertionFailure() << "the values do not match";
}
nd::string::string(const nd::array& rhs)
{
if (!rhs.is_null()) {
if (rhs.is_immutable() &&
rhs.get_type().get_type_id() == string_type_id &&
rhs.get_type().extended<ndt::string_type>()->get_encoding() ==
string_encoding_utf_8) {
// It's already immutable and the right type
m_value = rhs;
} else if (rhs.get_type().value_type().get_kind() == string_kind) {
m_value = rhs.ucast(ndt::make_string()).eval_immutable();
} else {
stringstream ss;
ss << "Cannot implicitly convert nd::array of type "
<< rhs.get_type().value_type() << " to string";
throw type_error(ss.str());
}
}
}
dynd::nd::array pydynd::array_eval(const dynd::nd::array &n, PyObject *ectx_obj)
{
return n.eval(eval_context_from_pyobj(ectx_obj));
}
inline std::string array_debug_print(const dynd::nd::array &n)
{
std::stringstream ss;
n.debug_print(ss);
return ss.str();
}
dynd::nd::array pydynd::array_ucast(const dynd::nd::array &n,
const ndt::type &dt, intptr_t replace_ndim)
{
return n.ucast(dt, replace_ndim);
}
dynd::nd::array pydynd::array_cast(const dynd::nd::array &n,
const ndt::type &dt)
{
return n.cast(dt);
}
dynd::nd::array pydynd::array_eval(const dynd::nd::array &n)
{
return n.eval();
}
inline ::testing::AssertionResult CompareDyNDArrays(const char *expr1, const char *expr2, const dynd::nd::array &val1,
const dynd::nd::array &val2)
{
using namespace dynd;
if (val1.get_type().get_type_id() == cuda_device_type_id && val2.get_type().get_type_id() == cuda_device_type_id) {
return CompareDyNDArrays(expr1, expr2, val1.to_host(), val2.to_host());
}
if (val1.equals_exact(val2)) {
return ::testing::AssertionSuccess();
}
else {
if (val1.get_type() != val2.get_type()) {
return ::testing::AssertionFailure() << "The types of " << expr1 << " and " << expr2 << " do not match\n" << expr1
<< " has type " << val1.get_type() << ",\n" << expr2 << " has type "
<< val2.get_type() << ".";
}
else if (val1.get_shape() != val2.get_shape()) {
return ::testing::AssertionFailure() << "The shapes of " << expr1 << " and " << expr2 << " do not match\n"
<< expr1 << " has shape " << ShapeFormatter(val1.get_shape()) << ",\n"
<< expr2 << " has shape " << ShapeFormatter(val2.get_shape()) << ".";
}
else if (val1.get_type().get_kind() == struct_kind) {
const ndt::struct_type *bsd = val1.get_type().extended<ndt::struct_type>();
intptr_t field_count = bsd->get_field_count();
for (intptr_t i = 0; i < field_count; ++i) {
nd::array field1 = val1(i), field2 = val2(i);
if (!field1.equals_exact(field2)) {
return ::testing::AssertionFailure()
<< "The values of " << expr1 << " and " << expr2 << " do not match at field index " << i << ", name \""
<< bsd->get_field_name(i) << "\"\n" << expr1 << " has field value " << field1 << ",\n" << expr2
<< " has field value " << field2 << ".";
}
}
return ::testing::AssertionFailure() << "DYND ASSERTION INTERNAL ERROR: One of the struct fields "
"should have compared unequal";
}
else if (val1.get_type().get_kind() == tuple_kind) {
const ndt::tuple_type *bsd = val1.get_type().extended<ndt::tuple_type>();
intptr_t field_count = bsd->get_field_count();
for (intptr_t i = 0; i < field_count; ++i) {
nd::array field1 = val1(i), field2 = val2(i);
if (!field1.equals_exact(field2)) {
return ::testing::AssertionFailure()
<< "The values of " << expr1 << " and " << expr2 << " do not match at field index " << i << "\"\n"
<< expr1 << " has field value " << field1 << ",\n" << expr2 << " has field value " << field2 << ".";
}
}
return ::testing::AssertionFailure() << "DYND ASSERTION INTERNAL ERROR: One of the tuple fields "
"should have compared unequal";
}
else if (val1.get_ndim() > 0) {
intptr_t dim_size = val1.get_dim_size();
for (intptr_t i = 0; i < dim_size; ++i) {
nd::array sub1 = val1(i), sub2 = val2(i);
if (!sub1.equals_exact(sub2)) {
return ::testing::AssertionFailure()
<< "The values of " << expr1 << " and " << expr2 << " do not match at index " << i << "\"\n" << expr1
<< " has subarray value " << sub1 << ",\n" << expr2 << " has subarray value " << sub2 << ".";
}
}
return ::testing::AssertionFailure() << "DYND ASSERTION INTERNAL ERROR: One of the subarrays "
"should have compared unequal\n"
<< expr1 << " has value " << val1 << ",\n" << expr2 << " has value " << val2
<< ".";
}
else {
return ::testing::AssertionFailure() << "The values of " << expr1 << " and " << expr2 << " do not match\n"
<< expr1 << " has value " << val1 << ",\n" << expr2 << " has value " << val2
<< ".";
}
}
}
dynd::nd::array pydynd::array_eval_copy(const dynd::nd::array &n,
PyObject *access, PyObject *ectx_obj)
{
uint32_t access_flags = pyarg_creation_access_flags(access);
return n.eval_copy(access_flags, eval_context_from_pyobj(ectx_obj));
}
dynd::nd::array pydynd::array_cast(const dynd::nd::array& n, const ndt::type& dt,
PyObject *assign_error_obj)
{
return n.cast(dt, pyarg_error_mode(assign_error_obj));
}
dynd::nd::array pydynd::array_ucast(const dynd::nd::array& n, const ndt::type& dt,
intptr_t replace_ndim, PyObject *assign_error_obj)
{
return n.ucast(dt, replace_ndim, pyarg_error_mode(assign_error_obj));
}