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author | Charles Harris <charlesr.harris@gmail.com> | 2017-08-06 17:22:20 -0500 |
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committer | GitHub <noreply@github.com> | 2017-08-06 17:22:20 -0500 |
commit | 91b06c021319faccb008a8ee485d26ae227bf079 (patch) | |
tree | 7195085d6bcaec87b5f2f0629c14456fcfa53d11 /numpy/lib | |
parent | f307cec3962926558b6387ebb4ab8d3f4ea3aa34 (diff) | |
parent | 351fe979580ab842cc5c04e1b616d3a64936a695 (diff) | |
download | numpy-91b06c021319faccb008a8ee485d26ae227bf079.tar.gz |
Merge pull request #9522 from eric-wieser/stop-using-obj2sctype
BUG: Fix problems with obj2sctype
Diffstat (limited to 'numpy/lib')
-rw-r--r-- | numpy/lib/tests/test_type_check.py | 8 | ||||
-rw-r--r-- | numpy/lib/type_check.py | 3 |
2 files changed, 8 insertions, 3 deletions
diff --git a/numpy/lib/tests/test_type_check.py b/numpy/lib/tests/test_type_check.py index e05079981..8945b61ea 100644 --- a/numpy/lib/tests/test_type_check.py +++ b/numpy/lib/tests/test_type_check.py @@ -3,7 +3,7 @@ from __future__ import division, absolute_import, print_function import numpy as np from numpy.compat import long from numpy.testing import ( - assert_, assert_equal, assert_array_equal, run_module_suite + assert_, assert_equal, assert_array_equal, run_module_suite, assert_raises ) from numpy.lib.type_check import ( common_type, mintypecode, isreal, iscomplex, isposinf, isneginf, @@ -422,5 +422,11 @@ class TestArrayConversion(object): assert_equal(a.__class__, np.ndarray) assert_(np.issubdtype(a.dtype, np.floating)) + # previously this would infer dtypes from arrays, unlike every single + # other numpy function + assert_raises(TypeError, + asfarray, np.array([1, 2, 3]), dtype=np.array(1.0)) + + if __name__ == "__main__": run_module_suite() diff --git a/numpy/lib/type_check.py b/numpy/lib/type_check.py index b2de153d3..e6aae8ddd 100644 --- a/numpy/lib/type_check.py +++ b/numpy/lib/type_check.py @@ -98,8 +98,7 @@ def asfarray(a, dtype=_nx.float_): array([ 2., 3.]) """ - dtype = _nx.obj2sctype(dtype) - if not issubclass(dtype, _nx.inexact): + if not _nx.issubdtype(dtype, _nx.inexact): dtype = _nx.float_ return asarray(a, dtype=dtype) |