New issue 2518: pypy3 hashing numpy float types inconsistent / unhashable https://bitbucket.org/pypy/pypy/issues/2518/pypy3-hashing-numpy-float-types
peterjc: Desired behaviour, using Python 3.5.0 in 64-bit Linux: ```bash $ python3 Python 3.5.0 (default, Sep 28 2015, 11:25:31) [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import numpy >>> print(numpy.__version__) 1.12.1 >>> f = 123.456 >>> for t in [np.float, np.float16, np.float32, np.float64, np.float128]: ... new = t(f) ... print(hash(new), hash(new)==hash(f), t.__name__) ... 1051464412201451643 True float 1008806316530991227 False float16 1051467367688700027 False float32 1051464412201451643 True float64 1051464412201451643 True float128 >>> quit() >>> quit() ``` i.e. We expect all the floats to be hashable, and some types should have hash the same as Python's float. Observed behaviour using PyPy3.5 v5.7 beta from https://bitbucket.org/squeaky/portable-pypy/downloads/pypy3.5-5.7-beta-linux_x86_64-portable.tar.bz2 ```bash $ ~/Downloads/pypy3.5-5.7-beta-linux_x86_64-portable/bin/pypy Python 3.5.3 (b16a4363e930f6401bceb499b9520955504c6cb0, Mar 21 2017, 12:36:24) [PyPy 5.7.0-beta0 with GCC 6.3.0] on linux Type "help", "copyright", "credits" or "license" for more information. And now for something completely different: ``the world doesn't want us to know'' >>>> import numpy as np >>>> print(np.__version__) 1.12.1 >>>> f = 123.456 >>>> for t in [np.float, np.float16, np.float32, np.float64, np.float128]: .... new = t(f) .... print(t, hash(new), hash(new)==hash(f)) .... <class 'float'> 1051464412201451643 True <class 'numpy.float16'> 1008806316530991227 False <class 'numpy.float32'> 1051467367688700027 False Traceback (most recent call last): File "<stdin>", line 3, in <module> TypeError: 'numpy.float64' objects are unhashable >>>> >>>> >>>> for t in [np.float, np.float16, np.float16, np.float32, np.float64, >>>> np.float128]: .... new = t(f) .... print(hash(new), hash(new)==hash(f), t.__name__) .... 1051464412201451643 True float 1008806316530991227 False float16 1008806316530991227 False float16 1051467367688700027 False float32 Traceback (most recent call last): File "<stdin>", line 3, in <module> TypeError: 'numpy.float64' objects are unhashable >>>> quit() ``` In both cases NumPy 1.12.1 was installed with pip. Problem one: hash from ``numpy.float32`` is inconsistent (expected to match Python's float). Problem two: ``numpy.float64`` is unhashable. _______________________________________________ pypy-issue mailing list pypy-issue@python.org https://mail.python.org/mailman/listinfo/pypy-issue
