summaryrefslogtreecommitdiff
path: root/numpy/core/function_base.py
diff options
context:
space:
mode:
authorStephan Hoyer <shoyer@google.com>2018-11-13 09:38:07 -0800
committerStephan Hoyer <shoyer@google.com>2018-11-13 20:24:31 -0800
commit4d24bbda32d133d51940b0691bd9b428d4198eaa (patch)
treec018ac1ada700494f1bb404a8ae9f1346720ebfe /numpy/core/function_base.py
parentcd39348e8593dc2b41e2516fbdd8a69b0f0bda6e (diff)
downloadnumpy-4d24bbda32d133d51940b0691bd9b428d4198eaa.tar.gz
ENH: set correct __module__ for objects in numpy's public API
Fixes GH-12271 Tests verify that everything in ``dir(numpy)`` either has ``__module__`` set to ``'numpy'``, or appears in an explicit whitelist of undocumented functions and exported bulitins. These should eventually be documented or removed. I also identified a handful of functions for which I had accidentally not setup dispatch for with ``__array_function__`` before, because they were listed under "ndarray methods" in ``_add_newdocs.py``. I guess that should be a lesson in trusting code comments :).
Diffstat (limited to 'numpy/core/function_base.py')
-rw-r--r--numpy/core/function_base.py4
1 files changed, 4 insertions, 0 deletions
diff --git a/numpy/core/function_base.py b/numpy/core/function_base.py
index 799b1418d..b3dd313cf 100644
--- a/numpy/core/function_base.py
+++ b/numpy/core/function_base.py
@@ -7,6 +7,7 @@ from . import numeric as _nx
from .numeric import (result_type, NaN, shares_memory, MAY_SHARE_BOUNDS,
TooHardError,asanyarray)
from numpy.core.multiarray import add_docstring
+from numpy.core.overrides import set_module
__all__ = ['logspace', 'linspace', 'geomspace']
@@ -23,6 +24,7 @@ def _index_deprecate(i, stacklevel=2):
return i
+@set_module('numpy')
def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None):
"""
Return evenly spaced numbers over a specified interval.
@@ -154,6 +156,7 @@ def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None):
return y.astype(dtype, copy=False)
+@set_module('numpy')
def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None):
"""
Return numbers spaced evenly on a log scale.
@@ -238,6 +241,7 @@ def logspace(start, stop, num=50, endpoint=True, base=10.0, dtype=None):
return _nx.power(base, y).astype(dtype)
+@set_module('numpy')
def geomspace(start, stop, num=50, endpoint=True, dtype=None):
"""
Return numbers spaced evenly on a log scale (a geometric progression).