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-rw-r--r--numpy/core/numeric.py16
1 files changed, 6 insertions, 10 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py
index fde08490a..c3c34666f 100644
--- a/numpy/core/numeric.py
+++ b/numpy/core/numeric.py
@@ -2528,13 +2528,10 @@ def isclose(a, b, rtol=1.e-5, atol=1.e-8, equal_nan=False):
"""
def within_tol(x, y, atol, rtol):
with errstate(invalid='ignore'):
- result = less_equal(abs(x-y), atol + rtol * abs(y))
- if isscalar(a) and isscalar(b):
- result = bool(result)
- return result
+ return less_equal(abs(x-y), atol + rtol * abs(y))
- x = array(a, copy=False, subok=True, ndmin=1)
- y = array(b, copy=False, subok=True, ndmin=1)
+ x = asanyarray(a)
+ y = asanyarray(b)
# Make sure y is an inexact type to avoid bad behavior on abs(MIN_INT).
# This will cause casting of x later. Also, make sure to allow subclasses
@@ -2561,12 +2558,11 @@ def isclose(a, b, rtol=1.e-5, atol=1.e-8, equal_nan=False):
if equal_nan:
# Make NaN == NaN
both_nan = isnan(x) & isnan(y)
+
+ # Needed to treat masked arrays correctly. = True would not work.
cond[both_nan] = both_nan[both_nan]
- if isscalar(a) and isscalar(b):
- return bool(cond)
- else:
- return cond
+ return cond[()] # Flatten 0d arrays to scalars
def array_equal(a1, a2):