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-rw-r--r--numpy/core/_add_newdocs.py14
-rw-r--r--numpy/core/src/common/binop_override.h5
-rw-r--r--numpy/core/src/common/get_attr_string.h20
-rw-r--r--numpy/core/src/common/ufunc_override.c3
-rw-r--r--numpy/core/src/multiarray/arrayfunction_override.c8
-rw-r--r--numpy/core/src/multiarray/arraytypes.c.src130
-rw-r--r--numpy/core/src/multiarray/common.c10
-rw-r--r--numpy/core/src/multiarray/ctors.c19
-rw-r--r--numpy/core/src/multiarray/multiarraymodule.c17
-rw-r--r--numpy/core/tests/test_datetime.py24
-rw-r--r--numpy/core/tests/test_issue14735.py29
-rw-r--r--numpy/core/tests/test_longdouble.py114
12 files changed, 365 insertions, 28 deletions
diff --git a/numpy/core/_add_newdocs.py b/numpy/core/_add_newdocs.py
index bd309f4a5..0225d12b9 100644
--- a/numpy/core/_add_newdocs.py
+++ b/numpy/core/_add_newdocs.py
@@ -1036,7 +1036,12 @@ add_newdoc('numpy.core.multiarray', 'fromstring',
A string containing the data.
dtype : data-type, optional
The data type of the array; default: float. For binary input data,
- the data must be in exactly this format.
+ the data must be in exactly this format. Most builtin numeric types are
+ supported and extension types may be supported.
+
+ .. versionadded:: 1.18.0
+ Complex dtypes.
+
count : int, optional
Read this number of `dtype` elements from the data. If this is
negative (the default), the count will be determined from the
@@ -1172,6 +1177,11 @@ add_newdoc('numpy.core.multiarray', 'fromfile',
Data type of the returned array.
For binary files, it is used to determine the size and byte-order
of the items in the file.
+ Most builtin numeric types are supported and extension types may be supported.
+
+ .. versionadded:: 1.18.0
+ Complex dtypes.
+
count : int
Number of items to read. ``-1`` means all items (i.e., the complete
file).
@@ -1196,7 +1206,7 @@ add_newdoc('numpy.core.multiarray', 'fromfile',
Notes
-----
Do not rely on the combination of `tofile` and `fromfile` for
- data storage, as the binary files generated are are not platform
+ data storage, as the binary files generated are not platform
independent. In particular, no byte-order or data-type information is
saved. Data can be stored in the platform independent ``.npy`` format
using `save` and `load` instead.
diff --git a/numpy/core/src/common/binop_override.h b/numpy/core/src/common/binop_override.h
index 47df63e38..c5e7ab808 100644
--- a/numpy/core/src/common/binop_override.h
+++ b/numpy/core/src/common/binop_override.h
@@ -129,11 +129,14 @@ binop_should_defer(PyObject *self, PyObject *other, int inplace)
* check whether __array_ufunc__ equals None.
*/
attr = PyArray_LookupSpecial(other, "__array_ufunc__");
- if (attr) {
+ if (attr != NULL) {
defer = !inplace && (attr == Py_None);
Py_DECREF(attr);
return defer;
}
+ else if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
/*
* Otherwise, we need to check for the legacy __array_priority__. But if
* other.__class__ is a subtype of self.__class__, then it's already had
diff --git a/numpy/core/src/common/get_attr_string.h b/numpy/core/src/common/get_attr_string.h
index d458d9550..d3401aea6 100644
--- a/numpy/core/src/common/get_attr_string.h
+++ b/numpy/core/src/common/get_attr_string.h
@@ -40,18 +40,14 @@ _is_basic_python_type(PyTypeObject *tp)
}
/*
- * Stripped down version of PyObject_GetAttrString,
- * avoids lookups for None, tuple, and List objects,
- * and doesn't create a PyErr since this code ignores it.
+ * Stripped down version of PyObject_GetAttrString(obj, name) that does not
+ * raise PyExc_AttributeError.
*
- * This can be much faster then PyObject_GetAttrString where
- * exceptions are not used by caller.
+ * This allows it to avoid creating then discarding exception objects when
+ * performing lookups on objects without any attributes.
*
- * 'obj' is the object to search for attribute.
- *
- * 'name' is the attribute to search for.
- *
- * Returns attribute value on success, NULL on failure.
+ * Returns attribute value on success, NULL without an exception set if
+ * there is no such attribute, and NULL with an exception on failure.
*/
static NPY_INLINE PyObject *
maybe_get_attr(PyObject *obj, char *name)
@@ -62,7 +58,7 @@ maybe_get_attr(PyObject *obj, char *name)
/* Attribute referenced by (char *)name */
if (tp->tp_getattr != NULL) {
res = (*tp->tp_getattr)(obj, name);
- if (res == NULL) {
+ if (res == NULL && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Clear();
}
}
@@ -78,7 +74,7 @@ maybe_get_attr(PyObject *obj, char *name)
}
res = (*tp->tp_getattro)(obj, w);
Py_DECREF(w);
- if (res == NULL) {
+ if (res == NULL && PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyErr_Clear();
}
}
diff --git a/numpy/core/src/common/ufunc_override.c b/numpy/core/src/common/ufunc_override.c
index 89f08a9cb..3f699bcdd 100644
--- a/numpy/core/src/common/ufunc_override.c
+++ b/numpy/core/src/common/ufunc_override.c
@@ -36,6 +36,9 @@ PyUFuncOverride_GetNonDefaultArrayUfunc(PyObject *obj)
*/
cls_array_ufunc = PyArray_LookupSpecial(obj, "__array_ufunc__");
if (cls_array_ufunc == NULL) {
+ if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
return NULL;
}
/* Ignore if the same as ndarray.__array_ufunc__ */
diff --git a/numpy/core/src/multiarray/arrayfunction_override.c b/numpy/core/src/multiarray/arrayfunction_override.c
index 62e597764..9ea8efdd9 100644
--- a/numpy/core/src/multiarray/arrayfunction_override.c
+++ b/numpy/core/src/multiarray/arrayfunction_override.c
@@ -26,6 +26,7 @@ static PyObject *
get_array_function(PyObject *obj)
{
static PyObject *ndarray_array_function = NULL;
+ PyObject *array_function;
if (ndarray_array_function == NULL) {
ndarray_array_function = get_ndarray_array_function();
@@ -37,7 +38,12 @@ get_array_function(PyObject *obj)
return ndarray_array_function;
}
- return PyArray_LookupSpecial(obj, "__array_function__");
+ array_function = PyArray_LookupSpecial(obj, "__array_function__");
+ if (array_function == NULL && PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
+
+ return array_function;
}
diff --git a/numpy/core/src/multiarray/arraytypes.c.src b/numpy/core/src/multiarray/arraytypes.c.src
index 152a2be9c..5c6699a3b 100644
--- a/numpy/core/src/multiarray/arraytypes.c.src
+++ b/numpy/core/src/multiarray/arraytypes.c.src
@@ -1081,6 +1081,7 @@ TIMEDELTA_setitem(PyObject *op, void *ov, void *vap)
* npy_long, npy_ulong, npy_longlong, npy_ulonglong,
* npy_float, npy_double, npy_longdouble,
* npy_datetime, npy_timedelta#
+ * #supports_nat = 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1#
*/
/**begin repeat1
@@ -1092,6 +1093,7 @@ TIMEDELTA_setitem(PyObject *op, void *ov, void *vap)
* npy_long, npy_ulong, npy_longlong, npy_ulonglong,
* npy_float, npy_double, npy_longdouble,
* npy_datetime, npy_timedelta#
+ * #floatingpoint = 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0#
*/
static void
@FROMTYPE@_to_@TOTYPE@(void *input, void *output, npy_intp n,
@@ -1101,7 +1103,15 @@ static void
@totype@ *op = output;
while (n--) {
- *op++ = (@totype@)*ip++;
+ @fromtype@ f = *ip++;
+ @totype@ t = (@totype@)f;
+#if @supports_nat@ && @floatingpoint@
+ /* Avoid undefined behaviour for NaN -> NaT */
+ if (npy_isnan(f)) {
+ t = (@totype@)NPY_DATETIME_NAT;
+ }
+#endif
+ *op++ = t;
}
}
/**end repeat1**/
@@ -1119,7 +1129,15 @@ static void
@totype@ *op = output;
while (n--) {
- *op++ = (@totype@)*ip;
+ @fromtype@ f = *ip;
+ @totype@ t = (@totype@)f;
+#if @supports_nat@
+ /* Avoid undefined behaviour for NaN -> NaT */
+ if (npy_isnan(f)) {
+ t = (@totype@)NPY_DATETIME_NAT;
+ }
+#endif
+ *op++ = t;
ip += 2;
}
}
@@ -1757,7 +1775,58 @@ BOOL_scan(FILE *fp, npy_bool *ip, void *NPY_UNUSED(ignore),
}
/**begin repeat
- * #fname = CFLOAT, CDOUBLE, CLONGDOUBLE,
+ * #fname = CFLOAT, CDOUBLE#
+ * #type = npy_cfloat, npy_cdouble#
+ */
+static int
+@fname@_scan(FILE *fp, @type@ *ip, void *NPY_UNUSED(ignore),
+ PyArray_Descr *NPY_UNUSED(ignored))
+{
+ double result;
+ int ret_real, ret_imag;
+
+ ret_real = NumPyOS_ascii_ftolf(fp, &result);
+ @type@ output;
+ // Peek next character
+ char next = getc(fp);
+ if ((next == '+') || (next == '-')) {
+ // Imaginary component specified
+ output.real = result;
+ // Revert peek and read imaginary component
+ ungetc(next, fp);
+ ret_imag = NumPyOS_ascii_ftolf(fp, &result);
+ // Peak next character
+ next = getc(fp);
+ if ((ret_imag == 1) && (next == 'j')) {
+ // If read is successful and the immediate following char is j
+ output.imag = result;
+ }
+ else {
+ output.imag = 0;
+ // Push an invalid char to trigger the not everything is read error
+ ungetc('a', fp);
+ }
+ }
+ else if (next == 'j') {
+ // Real component not specified
+ output.real = 0;
+ output.imag = result;
+ }
+ else {
+ // Imaginary component not specified
+ output.real = result;
+ output.imag = 0.;
+ // Next character is not + / - / j. Revert peek.
+ ungetc(next, fp);
+ }
+ *(@type@ *)ip = output;
+ return ret_real;
+}
+/**end repeat**/
+
+
+/**begin repeat
+ * #fname = CLONGDOUBLE,
* OBJECT, STRING, UNICODE, VOID,
* DATETIME, TIMEDELTA#
*/
@@ -1849,7 +1918,60 @@ BOOL_fromstr(char *str, void *ip, char **endptr,
}
/**begin repeat
- * #fname = CFLOAT, CDOUBLE, CLONGDOUBLE,
+ * #fname = CFLOAT, CDOUBLE#
+ * #type = npy_cfloat, npy_cdouble#
+ */
+static int
+@fname@_fromstr(char *str, void *ip, char **endptr,
+ PyArray_Descr *NPY_UNUSED(ignore))
+{
+ double result;
+
+ result = NumPyOS_ascii_strtod(str, endptr);
+ @type@ output;
+
+ if (endptr && ((*endptr[0] == '+') || (*endptr[0] == '-'))) {
+ // Imaginary component specified
+ output.real = result;
+ // Reading imaginary component
+ char **prev = endptr;
+ str = *endptr;
+ result = NumPyOS_ascii_strtod(str, endptr);
+ if (endptr && *endptr[0] == 'j') {
+ // Read is successful if the immediate following char is j
+ output.imag = result;
+ // Skip j
+ ++*endptr;
+ }
+ else {
+ /*
+ * Set endptr to previous char to trigger the not everything is
+ * read error
+ */
+ endptr = prev;
+ output.imag = 0;
+ }
+ }
+ else if (endptr && *endptr[0] == 'j') {
+ // Real component not specified
+ output.real = 0;
+ output.imag = result;
+ // Skip j
+ ++*endptr;
+ }
+ else {
+ // Imaginary component not specified
+ output.real = result;
+ output.imag = 0.;
+ }
+ *(@type@ *)ip = output;
+ return 0;
+}
+/**end repeat**/
+
+
+/**begin repeat
+ * #fname = CLONGDOUBLE,
* OBJECT, STRING, UNICODE, VOID#
*/
diff --git a/numpy/core/src/multiarray/common.c b/numpy/core/src/multiarray/common.c
index 3270bc20d..a71b0818c 100644
--- a/numpy/core/src/multiarray/common.c
+++ b/numpy/core/src/multiarray/common.c
@@ -367,6 +367,10 @@ PyArray_DTypeFromObjectHelper(PyObject *obj, int maxdims,
}
Py_DECREF(ip);
}
+ else if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
+
/* The array struct interface */
ip = PyArray_LookupSpecial_OnInstance(obj, "__array_struct__");
@@ -389,6 +393,9 @@ PyArray_DTypeFromObjectHelper(PyObject *obj, int maxdims,
}
Py_DECREF(ip);
}
+ else if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
/* The old buffer interface */
#if !defined(NPY_PY3K)
@@ -419,6 +426,9 @@ PyArray_DTypeFromObjectHelper(PyObject *obj, int maxdims,
goto fail;
}
}
+ else if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
/*
* If we reached the maximum recursion depth without hitting one
diff --git a/numpy/core/src/multiarray/ctors.c b/numpy/core/src/multiarray/ctors.c
index 9b6f59e3a..62804b979 100644
--- a/numpy/core/src/multiarray/ctors.c
+++ b/numpy/core/src/multiarray/ctors.c
@@ -852,6 +852,10 @@ discover_dimensions(PyObject *obj, int *maxndim, npy_intp *d, int check_it,
return 0;
}
}
+ else if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
+
/* obj has the __array_interface__ interface */
e = PyArray_LookupSpecial_OnInstance(obj, "__array_interface__");
@@ -881,6 +885,9 @@ discover_dimensions(PyObject *obj, int *maxndim, npy_intp *d, int check_it,
return 0;
}
}
+ else if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
seq = PySequence_Fast(obj, "Could not convert object to sequence");
if (seq == NULL) {
@@ -2351,7 +2358,11 @@ PyArray_FromStructInterface(PyObject *input)
attr = PyArray_LookupSpecial_OnInstance(input, "__array_struct__");
if (attr == NULL) {
- return Py_NotImplemented;
+ if (PyErr_Occurred()) {
+ return NULL;
+ } else {
+ return Py_NotImplemented;
+ }
}
if (!NpyCapsule_Check(attr)) {
goto fail;
@@ -2463,6 +2474,9 @@ PyArray_FromInterface(PyObject *origin)
iface = PyArray_LookupSpecial_OnInstance(origin,
"__array_interface__");
if (iface == NULL) {
+ if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
return Py_NotImplemented;
}
if (!PyDict_Check(iface)) {
@@ -2716,6 +2730,9 @@ PyArray_FromArrayAttr(PyObject *op, PyArray_Descr *typecode, PyObject *context)
array_meth = PyArray_LookupSpecial_OnInstance(op, "__array__");
if (array_meth == NULL) {
+ if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
return Py_NotImplemented;
}
if (context == NULL) {
diff --git a/numpy/core/src/multiarray/multiarraymodule.c b/numpy/core/src/multiarray/multiarraymodule.c
index 441567049..ab70367c5 100644
--- a/numpy/core/src/multiarray/multiarraymodule.c
+++ b/numpy/core/src/multiarray/multiarraymodule.c
@@ -118,6 +118,9 @@ PyArray_GetPriority(PyObject *obj, double default_)
ret = PyArray_LookupSpecial_OnInstance(obj, "__array_priority__");
if (ret == NULL) {
+ if (PyErr_Occurred()) {
+ PyErr_Clear(); /* TODO[gh-14801]: propagate crashes during attribute access? */
+ }
return default_;
}
@@ -1562,8 +1565,7 @@ _array_fromobject(PyObject *NPY_UNUSED(ignored), PyObject *args, PyObject *kws)
PyArrayObject *oparr = NULL, *ret = NULL;
npy_bool subok = NPY_FALSE;
npy_bool copy = NPY_TRUE;
- int nd;
- npy_intp ndmin = 0;
+ int ndmin = 0, nd;
PyArray_Descr *type = NULL;
PyArray_Descr *oldtype = NULL;
NPY_ORDER order = NPY_KEEPORDER;
@@ -1625,13 +1627,14 @@ _array_fromobject(PyObject *NPY_UNUSED(ignored), PyObject *args, PyObject *kws)
ndmin_obj = PyDict_GetItem(kws, npy_ma_str_ndmin);
if (ndmin_obj) {
- ndmin = PyLong_AsLong(ndmin_obj);
- if (error_converting(ndmin)) {
+ long t = PyLong_AsLong(ndmin_obj);
+ if (error_converting(t)) {
goto clean_type;
}
- else if (ndmin > NPY_MAXDIMS) {
+ else if (t > NPY_MAXDIMS) {
goto full_path;
}
+ ndmin = t;
}
/* copy=False with default dtype, order (any is OK) and ndim */
@@ -2063,7 +2066,7 @@ array_fromfile(PyObject *NPY_UNUSED(ignored), PyObject *args, PyObject *keywds)
if (file == NULL) {
return NULL;
}
-
+
if (offset != 0 && strcmp(sep, "") != 0) {
PyErr_SetString(PyExc_TypeError, "'offset' argument only permitted for binary files");
Py_XDECREF(type);
@@ -3265,7 +3268,7 @@ array_datetime_data(PyObject *NPY_UNUSED(dummy), PyObject *args)
}
meta = get_datetime_metadata_from_dtype(dtype);
- Py_DECREF(dtype);
+ Py_DECREF(dtype);
if (meta == NULL) {
return NULL;
}
diff --git a/numpy/core/tests/test_datetime.py b/numpy/core/tests/test_datetime.py
index 11f900c5f..a756dc7e7 100644
--- a/numpy/core/tests/test_datetime.py
+++ b/numpy/core/tests/test_datetime.py
@@ -483,6 +483,30 @@ class TestDateTime(object):
assert_equal(np.datetime64(a, '[Y]'), np.datetime64('NaT', '[Y]'))
assert_equal(np.datetime64(a, '[W]'), np.datetime64('NaT', '[W]'))
+ # NaN -> NaT
+ nan = np.array([np.nan] * 8)
+ fnan = nan.astype('f')
+ lnan = nan.astype('g')
+ cnan = nan.astype('D')
+ cfnan = nan.astype('F')
+ clnan = nan.astype('G')
+
+ nat = np.array([np.datetime64('NaT')] * 8)
+ assert_equal(nan.astype('M8[ns]'), nat)
+ assert_equal(fnan.astype('M8[ns]'), nat)
+ assert_equal(lnan.astype('M8[ns]'), nat)
+ assert_equal(cnan.astype('M8[ns]'), nat)
+ assert_equal(cfnan.astype('M8[ns]'), nat)
+ assert_equal(clnan.astype('M8[ns]'), nat)
+
+ nat = np.array([np.timedelta64('NaT')] * 8)
+ assert_equal(nan.astype('timedelta64[ns]'), nat)
+ assert_equal(fnan.astype('timedelta64[ns]'), nat)
+ assert_equal(lnan.astype('timedelta64[ns]'), nat)
+ assert_equal(cnan.astype('timedelta64[ns]'), nat)
+ assert_equal(cfnan.astype('timedelta64[ns]'), nat)
+ assert_equal(clnan.astype('timedelta64[ns]'), nat)
+
def test_days_creation(self):
assert_equal(np.array('1599', dtype='M8[D]').astype('i8'),
(1600-1970)*365 - (1972-1600)/4 + 3 - 365)
diff --git a/numpy/core/tests/test_issue14735.py b/numpy/core/tests/test_issue14735.py
new file mode 100644
index 000000000..6105c8e6a
--- /dev/null
+++ b/numpy/core/tests/test_issue14735.py
@@ -0,0 +1,29 @@
+import pytest
+import warnings
+import numpy as np
+
+
+class Wrapper:
+ def __init__(self, array):
+ self.array = array
+
+ def __len__(self):
+ return len(self.array)
+
+ def __getitem__(self, item):
+ return type(self)(self.array[item])
+
+ def __getattr__(self, name):
+ if name.startswith("__array_"):
+ warnings.warn("object got converted", UserWarning, stacklevel=1)
+
+ return getattr(self.array, name)
+
+ def __repr__(self):
+ return "<Wrapper({self.array})>".format(self=self)
+
+@pytest.mark.filterwarnings("error")
+def test_getattr_warning():
+ array = Wrapper(np.arange(10))
+ with pytest.raises(UserWarning, match="object got converted"):
+ np.asarray(array)
diff --git a/numpy/core/tests/test_longdouble.py b/numpy/core/tests/test_longdouble.py
index 59ac5923c..2b6e1c5a2 100644
--- a/numpy/core/tests/test_longdouble.py
+++ b/numpy/core/tests/test_longdouble.py
@@ -71,6 +71,38 @@ def test_fromstring():
err_msg="reading '%s'" % s)
+def test_fromstring_complex():
+ for ctype in ["complex", "cdouble", "cfloat"]:
+ # Check spacing between separator
+ assert_equal(np.fromstring("1, 2 , 3 ,4", sep=",", dtype=ctype),
+ np.array([1., 2., 3., 4.]))
+ # Real component not specified
+ assert_equal(np.fromstring("1j, -2j, 3j, 4e1j", sep=",", dtype=ctype),
+ np.array([1.j, -2.j, 3.j, 40.j]))
+ # Both components specified
+ assert_equal(np.fromstring("1+1j,2-2j, -3+3j, -4e1+4j", sep=",", dtype=ctype),
+ np.array([1. + 1.j, 2. - 2.j, - 3. + 3.j, - 40. + 4j]))
+ # Spaces at wrong places
+ with assert_warns(DeprecationWarning):
+ assert_equal(np.fromstring("1+2 j,3", dtype=ctype, sep=","),
+ np.array([1.]))
+ with assert_warns(DeprecationWarning):
+ assert_equal(np.fromstring("1+ 2j,3", dtype=ctype, sep=","),
+ np.array([1.]))
+ with assert_warns(DeprecationWarning):
+ assert_equal(np.fromstring("1 +2j,3", dtype=ctype, sep=","),
+ np.array([1.]))
+ with assert_warns(DeprecationWarning):
+ assert_equal(np.fromstring("1+j", dtype=ctype, sep=","),
+ np.array([1.]))
+ with assert_warns(DeprecationWarning):
+ assert_equal(np.fromstring("1+", dtype=ctype, sep=","),
+ np.array([1.]))
+ with assert_warns(DeprecationWarning):
+ assert_equal(np.fromstring("1j+1", dtype=ctype, sep=","),
+ np.array([1j]))
+
+
def test_fromstring_bogus():
with assert_warns(DeprecationWarning):
assert_equal(np.fromstring("1. 2. 3. flop 4.", dtype=float, sep=" "),
@@ -104,6 +136,88 @@ class TestFileBased(object):
res = np.fromfile(path, dtype=float, sep=" ")
assert_equal(res, np.array([1., 2., 3.]))
+ def test_fromfile_complex(self):
+ for ctype in ["complex", "cdouble", "cfloat"]:
+ # Check spacing between separator and only real component specified
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1, 2 , 3 ,4\n")
+
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1., 2., 3., 4.]))
+
+ # Real component not specified
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1j, -2j, 3j, 4e1j\n")
+
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.j, -2.j, 3.j, 40.j]))
+
+ # Both components specified
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1+1j,2-2j, -3+3j, -4e1+4j\n")
+
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1. + 1.j, 2. - 2.j, - 3. + 3.j, - 40. + 4j]))
+
+ # Spaces at wrong places
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1+2 j,3\n")
+
+ with assert_warns(DeprecationWarning):
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.]))
+
+ # Spaces at wrong places
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1+ 2j,3\n")
+
+ with assert_warns(DeprecationWarning):
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.]))
+
+ # Spaces at wrong places
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1 +2j,3\n")
+
+ with assert_warns(DeprecationWarning):
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.]))
+
+ # Spaces at wrong places
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1+j\n")
+
+ with assert_warns(DeprecationWarning):
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.]))
+
+ # Spaces at wrong places
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1+\n")
+
+ with assert_warns(DeprecationWarning):
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.]))
+
+ # Spaces at wrong places
+ with temppath() as path:
+ with open(path, 'wt') as f:
+ f.write("1j+1\n")
+
+ with assert_warns(DeprecationWarning):
+ res = np.fromfile(path, dtype=ctype, sep=",")
+ assert_equal(res, np.array([1.j]))
+
+
+
@pytest.mark.skipif(string_to_longdouble_inaccurate,
reason="Need strtold_l")
def test_fromfile(self):