diff options
Diffstat (limited to 'numpy')
-rw-r--r-- | numpy/core/numeric.py | 4 | ||||
-rw-r--r-- | numpy/lib/tests/test_ufunclike.py | 16 |
2 files changed, 10 insertions, 10 deletions
diff --git a/numpy/core/numeric.py b/numpy/core/numeric.py index c56301a08..eb476eb3e 100644 --- a/numpy/core/numeric.py +++ b/numpy/core/numeric.py @@ -425,9 +425,9 @@ def array_repr(arr, max_line_width=None, precision=None, suppress_small=None): typename=arr.dtype.name lf = '' if issubclass(arr.dtype.type, flexible): - typename = str(arr.dtype) + typename = "'%s'" % str(arr.dtype) lf = '\n'+' '*len("array(") - return cName + "(%s, %sdtype='%s')" % (lst, lf, typename) + return cName + "(%s, %sdtype=%s)" % (lst, lf, typename) def array_str(a, max_line_width=None, precision=None, suppress_small=None): return array2string(a, max_line_width, precision, suppress_small, ' ', "", str) diff --git a/numpy/lib/tests/test_ufunclike.py b/numpy/lib/tests/test_ufunclike.py index fc7b27f2a..a28048342 100644 --- a/numpy/lib/tests/test_ufunclike.py +++ b/numpy/lib/tests/test_ufunclike.py @@ -18,26 +18,26 @@ array([[ 1., 1., 1., 1.], Test isposinf, isneginf, sign >>> a = nx.array([nx.Inf, -nx.Inf, nx.NaN, 0.0, 3.0, -3.0]) >>> U.isposinf(a) -array([True, False, False, False, False, False], dtype='bool') +array([True, False, False, False, False, False], dtype=bool) >>> U.isneginf(a) -array([False, True, False, False, False, False], dtype='bool') +array([False, True, False, False, False, False], dtype=bool) >>> nx.sign(a) array([ 1., -1., 0., 0., 1., -1.]) Same thing with an output array: >>> y = nx.zeros(a.shape, bool) >>> U.isposinf(a, y) -array([True, False, False, False, False, False], dtype='bool') +array([True, False, False, False, False, False], dtype=bool) >>> y -array([True, False, False, False, False, False], dtype='bool') +array([True, False, False, False, False, False], dtype=bool) >>> U.isneginf(a, y) -array([False, True, False, False, False, False], dtype='bool') +array([False, True, False, False, False, False], dtype=bool) >>> y -array([False, True, False, False, False, False], dtype='bool') +array([False, True, False, False, False, False], dtype=bool) >>> nx.sign(a, y) -array([True, True, False, False, True, True], dtype='bool') +array([True, True, False, False, True, True], dtype=bool) >>> y -array([True, True, False, False, True, True], dtype='bool') +array([True, True, False, False, True, True], dtype=bool) Now log2: >>> a = nx.array([4.5, 2.3, 6.5]) |