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-rw-r--r--numpy/core/arrayprint.py22
-rw-r--r--numpy/core/numeric.py12
-rw-r--r--numpy/core/src/umath/ufunc_object.c69
-rw-r--r--numpy/core/tests/test_arrayprint.py11
-rw-r--r--numpy/core/tests/test_multiarray.py5
-rw-r--r--numpy/lib/function_base.py29
-rw-r--r--numpy/lib/nanfunctions.py33
-rw-r--r--numpy/lib/npyio.py9
-rw-r--r--numpy/ma/core.py18
9 files changed, 120 insertions, 88 deletions
diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index eaec91259..238e1782f 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -622,8 +622,14 @@ def array2string(a, max_line_width=None, precision=None,
return _array2string(a, options, separator, prefix)
-def _extendLine(s, line, word, line_width, next_line_prefix):
- if len(line) + len(word) > line_width:
+def _extendLine(s, line, word, line_width, next_line_prefix, legacy):
+ needs_wrap = len(line) + len(word) > line_width
+ if legacy != '1.13':
+ s# don't wrap lines if it won't help
+ if len(line) <= len(next_line_prefix):
+ needs_wrap = False
+
+ if needs_wrap:
s += line.rstrip() + "\n"
line = next_line_prefix
line += word
@@ -682,11 +688,13 @@ def _formatArray(a, format_function, line_width, next_line_prefix,
line = hanging_indent
for i in range(leading_items):
word = recurser(index + (i,), next_hanging_indent, next_width)
- s, line = _extendLine(s, line, word, elem_width, hanging_indent)
+ s, line = _extendLine(
+ s, line, word, elem_width, hanging_indent, legacy)
line += separator
if show_summary:
- s, line = _extendLine(s, line, summary_insert, elem_width, hanging_indent)
+ s, line = _extendLine(
+ s, line, summary_insert, elem_width, hanging_indent, legacy)
if legacy == '1.13':
line += ", "
else:
@@ -694,14 +702,16 @@ def _formatArray(a, format_function, line_width, next_line_prefix,
for i in range(trailing_items, 1, -1):
word = recurser(index + (-i,), next_hanging_indent, next_width)
- s, line = _extendLine(s, line, word, elem_width, hanging_indent)
+ s, line = _extendLine(
+ s, line, word, elem_width, hanging_indent, legacy)
line += separator
if legacy == '1.13':
# width of the seperator is not considered on 1.13
elem_width = curr_width
word = recurser(index + (-1,), next_hanging_indent, next_width)
- s, line = _extendLine(s, line, word, elem_width, hanging_indent)
+ s, line = _extendLine(
+ s, line, word, elem_width, hanging_indent, legacy)
s += line
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index ac64b0537..431467a5a 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -42,7 +42,13 @@ else:
import cPickle as pickle
import __builtin__ as builtins
-loads = pickle.loads
+
+def loads(*args, **kwargs):
+ # NumPy 1.15.0, 2017-12-10
+ warnings.warn(
+ "np.core.numeric.loads is deprecated, use pickle.loads instead",
+ DeprecationWarning, stacklevel=2)
+ return pickle.loads(*args, **kwargs)
__all__ = [
@@ -2134,6 +2140,10 @@ def load(file):
load, save
"""
+ # NumPy 1.15.0, 2017-12-10
+ warnings.warn(
+ "np.core.numeric.load is deprecated, use pickle.load instead",
+ DeprecationWarning, stacklevel=2)
if isinstance(file, type("")):
file = open(file, "rb")
return pickle.load(file)
diff --git a/numpy/core/src/umath/ufunc_object.c b/numpy/core/src/umath/ufunc_object.c
index 35c7724b1..257067023 100644
--- a/numpy/core/src/umath/ufunc_object.c
+++ b/numpy/core/src/umath/ufunc_object.c
@@ -1751,7 +1751,7 @@ make_arr_prep_args(npy_intp nin, PyObject *args, PyObject *kwds)
/*
* Validate the core dimensions of all the operands, and collect all of
* the labelled core dimensions into 'core_dim_sizes'.
- *
+ *
* Returns 0 on success, and -1 on failure
*
* The behavior has been changed in NumPy 1.10.0, and the following
@@ -3656,7 +3656,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
int i, naxes=0, ndim;
int axes[NPY_MAXDIMS];
PyObject *axes_in = NULL;
- PyArrayObject *mp, *ret = NULL;
+ PyArrayObject *mp = NULL, *ret = NULL;
PyObject *op, *res = NULL;
PyObject *obj_ind, *context;
PyArrayObject *indices = NULL;
@@ -3707,24 +3707,22 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
PyDict_SetItem(kwds, npy_um_str_out, out_obj);
}
}
-
+
if (operation == UFUNC_REDUCEAT) {
PyArray_Descr *indtype;
indtype = PyArray_DescrFromType(NPY_INTP);
if (!PyArg_ParseTupleAndKeywords(args, kwds, "OO|OO&O&:reduceat", reduceat_kwlist,
- &op,
- &obj_ind,
- &axes_in,
- PyArray_DescrConverter2, &otype,
- PyArray_OutputConverter, &out)) {
- Py_XDECREF(otype);
- return NULL;
+ &op,
+ &obj_ind,
+ &axes_in,
+ PyArray_DescrConverter2, &otype,
+ PyArray_OutputConverter, &out)) {
+ goto fail;
}
indices = (PyArrayObject *)PyArray_FromAny(obj_ind, indtype,
1, 1, NPY_ARRAY_CARRAY, NULL);
if (indices == NULL) {
- Py_XDECREF(otype);
- return NULL;
+ goto fail;
}
}
else if (operation == UFUNC_ACCUMULATE) {
@@ -3734,8 +3732,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
&axes_in,
PyArray_DescrConverter2, &otype,
PyArray_OutputConverter, &out)) {
- Py_XDECREF(otype);
- return NULL;
+ goto fail;
}
}
else {
@@ -3746,8 +3743,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
PyArray_DescrConverter2, &otype,
PyArray_OutputConverter, &out,
&keepdims)) {
- Py_XDECREF(otype);
- return NULL;
+ goto fail;
}
}
/* Ensure input is an array */
@@ -3760,7 +3756,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
mp = (PyArrayObject *)PyArray_FromAny(op, NULL, 0, 0, 0, context);
Py_XDECREF(context);
if (mp == NULL) {
- return NULL;
+ goto fail;
}
ndim = PyArray_NDIM(mp);
@@ -3771,9 +3767,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
PyErr_Format(PyExc_TypeError,
"cannot perform %s with flexible type",
_reduce_type[operation]);
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
/* Convert the 'axis' parameter into a list of axes */
@@ -3793,22 +3787,16 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
if (naxes < 0 || naxes > NPY_MAXDIMS) {
PyErr_SetString(PyExc_ValueError,
"too many values for 'axis'");
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
for (i = 0; i < naxes; ++i) {
PyObject *tmp = PyTuple_GET_ITEM(axes_in, i);
int axis = PyArray_PyIntAsInt(tmp);
if (error_converting(axis)) {
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
if (check_and_adjust_axis(&axis, ndim) < 0) {
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
axes[i] = (int)axis;
}
@@ -3818,16 +3806,14 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
int axis = PyArray_PyIntAsInt(axes_in);
/* TODO: PyNumber_Index would be good to use here */
if (error_converting(axis)) {
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
/* Special case letting axis={0 or -1} slip through for scalars */
if (ndim == 0 && (axis == 0 || axis == -1)) {
axis = 0;
}
else if (check_and_adjust_axis(&axis, ndim) < 0) {
- return NULL;
+ goto fail;
}
axes[0] = (int)axis;
naxes = 1;
@@ -3847,9 +3833,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
(naxes == 0 || (naxes == 1 && axes[0] == 0)))) {
PyErr_Format(PyExc_TypeError, "cannot %s on a scalar",
_reduce_type[operation]);
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
}
@@ -3895,9 +3879,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
if (naxes != 1) {
PyErr_SetString(PyExc_ValueError,
"accumulate does not allow multiple axes");
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
ret = (PyArrayObject *)PyUFunc_Accumulate(ufunc, mp, out, axes[0],
otype->type_num);
@@ -3906,9 +3888,7 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
if (naxes != 1) {
PyErr_SetString(PyExc_ValueError,
"reduceat does not allow multiple axes");
- Py_XDECREF(otype);
- Py_DECREF(mp);
- return NULL;
+ goto fail;
}
ret = (PyArrayObject *)PyUFunc_Reduceat(ufunc, mp, indices, out,
axes[0], otype->type_num);
@@ -3941,6 +3921,11 @@ PyUFunc_GenericReduction(PyUFuncObject *ufunc, PyObject *args,
}
}
return PyArray_Return(ret);
+
+fail:
+ Py_XDECREF(otype);
+ Py_XDECREF(mp);
+ return NULL;
}
/*
diff --git a/numpy/core/tests/test_arrayprint.py b/numpy/core/tests/test_arrayprint.py
index 950004508..d491d53aa 100644
--- a/numpy/core/tests/test_arrayprint.py
+++ b/numpy/core/tests/test_arrayprint.py
@@ -289,6 +289,17 @@ class TestArray2String(object):
' 11\n'
' 11]]]')
+ def test_wide_element(self):
+ a = np.array(['xxxxx'])
+ assert_equal(
+ np.array2string(a, max_line_width=5),
+ "['xxxxx']"
+ )
+ assert_equal(
+ np.array2string(a, max_line_width=5, legacy='1.13'),
+ "[ 'xxxxx']"
+ )
+
class TestPrintOptions(object):
"""Test getting and setting global print options."""
diff --git a/numpy/core/tests/test_multiarray.py b/numpy/core/tests/test_multiarray.py
index 690828cc8..3bddfe2ae 100644
--- a/numpy/core/tests/test_multiarray.py
+++ b/numpy/core/tests/test_multiarray.py
@@ -3434,10 +3434,11 @@ class TestPickling(object):
assert_equal(a, pickle.loads(a.dumps()), err_msg="%r" % a)
def _loads(self, obj):
+ import pickle
if sys.version_info[0] >= 3:
- return np.loads(obj, encoding='latin1')
+ return pickle.loads(obj, encoding='latin1')
else:
- return np.loads(obj)
+ return pickle.loads(obj)
# version 0 pickles, using protocol=2 to pickle
# version 0 doesn't have a version field
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index c9a23350d..fb37801b9 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -4188,27 +4188,24 @@ def percentile(a, q, axis=None, out=None,
----------
a : array_like
Input array or object that can be converted to an array.
- q : float in range of [0,100] (or sequence of floats)
- Percentile to compute, which must be between 0 and 100 inclusive.
- axis : {int, sequence of int, None}, optional
+ q : array_like of float
+ Percentile or sequence of percentiles to compute, which must be between
+ 0 and 100 inclusive.
+ axis : {int, tuple of int, None}, optional
Axis or axes along which the percentiles are computed. The
default is to compute the percentile(s) along a flattened
- version of the array. A sequence of axes is supported since
- version 1.9.0.
+ version of the array.
+
+ .. versionchanged:: 1.9.0
+ A tuple of axes is supported
out : ndarray, optional
Alternative output array in which to place the result. It must
have the same shape and buffer length as the expected output,
but the type (of the output) will be cast if necessary.
overwrite_input : bool, optional
- If True, then allow use of memory of input array `a`
- calculations. The input array will be modified by the call to
- `percentile`. This will save memory when you do not need to
- preserve the contents of the input array. In this case you
- should not make any assumptions about the contents of the input
- `a` after this function completes -- treat it as undefined.
- Default is False. If `a` is not already an array, this parameter
- will have no effect as `a` will be converted to an array
- internally regardless of the value of this parameter.
+ If True, then allow the input array `a` to be modified by intermediate
+ calculations, to save memory. In this case, the contents of the input
+ `a` after this function completes is undefined.
interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
This optional parameter specifies the interpolation method to
use when the desired quantile lies between two data points
@@ -4243,7 +4240,9 @@ def percentile(a, q, axis=None, out=None,
See Also
--------
- mean, median, nanpercentile
+ mean
+ median : equivalent to ``percentile(..., 50)``
+ nanpercentile
Notes
-----
diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py
index b3f3bfc69..ca8c10031 100644
--- a/numpy/lib/nanfunctions.py
+++ b/numpy/lib/nanfunctions.py
@@ -1039,35 +1039,28 @@ def nanpercentile(a, q, axis=None, out=None, overwrite_input=False,
----------
a : array_like
Input array or object that can be converted to an array.
- q : float in range of [0,100] (or sequence of floats)
- Percentile to compute, which must be between 0 and 100
- inclusive.
- axis : {int, sequence of int, None}, optional
+ q : array_like of float
+ Percentile or sequence of percentiles to compute, which must be between
+ 0 and 100 inclusive.
+ axis : {int, tuple of int, None}, optional
Axis or axes along which the percentiles are computed. The
default is to compute the percentile(s) along a flattened
- version of the array. A sequence of axes is supported since
- version 1.9.0.
+ version of the array.
out : ndarray, optional
Alternative output array in which to place the result. It must
have the same shape and buffer length as the expected output,
but the type (of the output) will be cast if necessary.
overwrite_input : bool, optional
- If True, then allow use of memory of input array `a` for
- calculations. The input array will be modified by the call to
- `percentile`. This will save memory when you do not need to
- preserve the contents of the input array. In this case you
- should not make any assumptions about the contents of the input
- `a` after this function completes -- treat it as undefined.
- Default is False. If `a` is not already an array, this parameter
- will have no effect as `a` will be converted to an array
- internally regardless of the value of this parameter.
+ If True, then allow the input array `a` to be modified by intermediate
+ calculations, to save memory. In this case, the contents of the input
+ `a` after this function completes is undefined.
interpolation : {'linear', 'lower', 'higher', 'midpoint', 'nearest'}
This optional parameter specifies the interpolation method to
use when the desired quantile lies between two data points
``i < j``:
- * linear: ``i + (j - i) * fraction``, where ``fraction`` is
- the fractional part of the index surrounded by ``i`` and
- ``j``.
+ * linear: ``i + (j - i) * fraction``, where ``fraction``
+ is the fractional part of the index surrounded by ``i``
+ and ``j``.
* lower: ``i``.
* higher: ``j``.
* nearest: ``i`` or ``j``, whichever is nearest.
@@ -1097,7 +1090,9 @@ def nanpercentile(a, q, axis=None, out=None, overwrite_input=False,
See Also
--------
- nanmean, nanmedian, percentile, median, mean
+ nanmean
+ nanmedian : equivalent to ``nanpercentile(..., 50)``
+ percentile, median, mean
Notes
-----
diff --git a/numpy/lib/npyio.py b/numpy/lib/npyio.py
index e4d827334..7b51cb9c7 100644
--- a/numpy/lib/npyio.py
+++ b/numpy/lib/npyio.py
@@ -30,7 +30,14 @@ else:
import cPickle as pickle
from future_builtins import map
-loads = pickle.loads
+
+def loads(*args, **kwargs):
+ # NumPy 1.15.0, 2017-12-10
+ warnings.warn(
+ "np.loads is deprecated, use pickle.loads instead",
+ DeprecationWarning, stacklevel=2)
+ return pickle.loads(*args, **kwargs)
+
__all__ = [
'savetxt', 'loadtxt', 'genfromtxt', 'ndfromtxt', 'mafromtxt',
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index 407869362..dad675600 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -7859,6 +7859,16 @@ def asanyarray(a, dtype=None):
##############################################################################
# Pickling #
##############################################################################
+
+def _pickle_warn(method):
+ # NumPy 1.15.0, 2017-12-10
+ warnings.warn(
+ "np.ma.{method} is deprecated, use pickle.{method} instead"
+ .format(method),
+ DeprecationWarning,
+ stacklevel=3)
+
+
def dump(a, F):
"""
Pickle a masked array to a file.
@@ -7873,6 +7883,7 @@ def dump(a, F):
The file to pickle `a` to. If a string, the full path to the file.
"""
+ _pickle_warn('dump')
if not hasattr(F, 'readline'):
with open(F, 'w') as F:
pickle.dump(a, F)
@@ -7893,6 +7904,7 @@ def dumps(a):
returned.
"""
+ _pickle_warn('dumps')
return pickle.dumps(a)
@@ -7916,11 +7928,12 @@ def load(F):
the NumPy binary .npy format.
"""
+ _pickle_warn('load')
if not hasattr(F, 'readline'):
with open(F, 'r') as F:
- pickle.load(F)
+ return pickle.load(F)
else:
- pickle.load(F)
+ return pickle.load(F)
def loads(strg):
@@ -7939,6 +7952,7 @@ def loads(strg):
dumps : Return a string corresponding to the pickling of a masked array.
"""
+ _pickle_warn('loads')
return pickle.loads(strg)
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