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-rw-r--r--numpy/lib/index_tricks.py28
1 files changed, 23 insertions, 5 deletions
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py
index 009e6d229..ff2e00d3e 100644
--- a/numpy/lib/index_tricks.py
+++ b/numpy/lib/index_tricks.py
@@ -1,5 +1,6 @@
from __future__ import division, absolute_import, print_function
+import functools
import sys
import math
@@ -9,13 +10,17 @@ from numpy.core.numeric import (
)
from numpy.core.numerictypes import find_common_type, issubdtype
-from . import function_base
import numpy.matrixlib as matrixlib
from .function_base import diff
from numpy.core.multiarray import ravel_multi_index, unravel_index
+from numpy.core import overrides, linspace
from numpy.lib.stride_tricks import as_strided
+array_function_dispatch = functools.partial(
+ overrides.array_function_dispatch, module='numpy')
+
+
__all__ = [
'ravel_multi_index', 'unravel_index', 'mgrid', 'ogrid', 'r_', 'c_',
's_', 'index_exp', 'ix_', 'ndenumerate', 'ndindex', 'fill_diagonal',
@@ -23,6 +28,11 @@ __all__ = [
]
+def _ix__dispatcher(*args):
+ return args
+
+
+@array_function_dispatch(_ix__dispatcher)
def ix_(*args):
"""
Construct an open mesh from multiple sequences.
@@ -194,9 +204,6 @@ class nd_grid(object):
else:
return _nx.arange(start, stop, step)
- def __len__(self):
- return 0
-
class MGridClass(nd_grid):
"""
@@ -338,7 +345,7 @@ class AxisConcatenator(object):
step = 1
if isinstance(step, complex):
size = int(abs(step))
- newobj = function_base.linspace(start, stop, num=size)
+ newobj = linspace(start, stop, num=size)
else:
newobj = _nx.arange(start, stop, step)
if ndmin > 1:
@@ -729,6 +736,12 @@ s_ = IndexExpression(maketuple=False)
# The following functions complement those in twodim_base, but are
# applicable to N-dimensions.
+
+def _fill_diagonal_dispatcher(a, val, wrap=None):
+ return (a,)
+
+
+@array_function_dispatch(_fill_diagonal_dispatcher)
def fill_diagonal(a, val, wrap=False):
"""Fill the main diagonal of the given array of any dimensionality.
@@ -911,6 +924,11 @@ def diag_indices(n, ndim=2):
return (idx,) * ndim
+def _diag_indices_from(arr):
+ return (arr,)
+
+
+@array_function_dispatch(_diag_indices_from)
def diag_indices_from(arr):
"""
Return the indices to access the main diagonal of an n-dimensional array.