Mailman 3 February 2016 - NumPy-Discussion

Re: [Numpy-discussion] proposal: new logspace without the log in the argument
by Andrew Nelson Feb. 19, 2016

Feb. 19, 2016

With respect to geomspace proposals: instead of specifying start and end values and the number of points I'd like to have an option where I can set the start and end points and the ratio. The function would then work out the correct number of points to get closest to the end value. E.g. geomspace(start=1, finish=2, ratio=1.03) The first entries would be 1.0, 1.03, 1*1.03**2, etc. I have a requirement for the correct ratio between the points, and it's a right bind having to calculate the … [View More]

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Re: [Numpy-discussion] proposal: new logspace without the log in the argument
by Peter Creasey Feb. 18, 2016

Feb. 18, 2016

> > Some questions it'd be good to get feedback on: > > - any better ideas for naming it than "geomspace"? It's really too bad > that the 'logspace' name is already taken. > > - I guess the alternative interface might be something like > > np.linspace(start, stop, steps, spacing="log") > > what do people think? > > -n > You’ve got to wonder how many people actually use logspace(start, stop, num) in preference to 10.0**linspace(start, stop, num) - i.e. I … [View More]

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Suggestion: special-case np.array(range(...)) to be faster
by Antony Lee Feb. 18, 2016

Feb. 18, 2016

Compare (on Python3 -- for Python2, read "xrange" instead of "range"): In [2]: %timeit np.array(range(1000000), np.int64) 10 loops, best of 3: 156 ms per loop In [3]: %timeit np.arange(1000000, dtype=np.int64) 1000 loops, best of 3: 853 µs per loop Note that while iterating over a range is not very fast, it is still much better than the array creation: In [4]: from collections import deque In [5]: %timeit deque(range(1000000), 1) 10 loops, best of 3: 25.5 ms per loop On one hand, … [View More]

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proposal: new logspace without the log in the argument
by . Feb. 18, 2016

Feb. 18, 2016

I've suggested a new function similar to logspace, but where you specify the start and stop points directly instead of using log(start) and base arguments: https://github.com/numpy/numpy/issues/7255 https://github.com/numpy/numpy/pull/7268

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FeatureRequest: support for array construction from iterators
by Stephan Sahm Feb. 18, 2016

Feb. 18, 2016

[ this request /discussion refers to numpy issue #5863 https://github.com/numpy/numpy/pull/5863#issuecomment-159738368 ] Dear all, As far as I can think, the expected functionality of np.array(...) would be np.array(list(...)) or something even nicer. Therefore, I like to request a generator/iterator support for np.array(...) as far as list(...) supports it. A more detailed reasoning behind this follows now. In general it seems possible to identify iterators/generators … [View More]

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Re: [Numpy-discussion] making "low" optional in numpy.randint
by G Young Feb. 17, 2016

Feb. 17, 2016

Hello all, I have a PR open here <https://github.com/numpy/numpy/pull/7151> that makes "low" an optional parameter in numpy.randint and introduces new behavior into the API as follows: 1) `low == None` and `high == None` Numbers are generated over the range `[lowbnd, highbnd)`, where `lowbnd = np.iinfo(dtype).min`, and `highbnd = np.iinfo(dtype).max`, where `dtype` is the provided integral type. 2) `low != None` and `high == None` If `low >= 0`, numbers are <b>still</b… [View More]

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Re: [Numpy-discussion] Fwd: Multi-distribution Linux wheels - please test
by Matthew Brett Feb. 17, 2016

Feb. 17, 2016

Hi, On Tue, Feb 9, 2016 at 12:01 PM, Freddy Rietdijk <freddyrietdijk(a)fridh.nl> wrote: > On Nix we also had trouble with OpenBLAS 0.2.15. Version 0.2.14 did not > cause any segmentation faults so we reverted to that version. > https://github.com/scipy/scipy/issues/5620 > > (hopefully this time the e-mail gets through) In hope, I tried building with 0.2.12 and 0.2.14, but 0.2.12 gave me an extra test failure, and 0.2.14 gave the same test failure as 0.2.15.. Sadly... Matthew

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NumPy 1.11.0b3 released.
by Charles R Harris Feb. 17, 2016

Feb. 17, 2016

Hi All, I'm pleased to announce the release of NumPy 1.11.0b3. This beta contains additional bug fixes as well as limiting the number of FutureWarnings raised by assignment to masked array slices. One issue that remains to be decided is whether or not to postpone raising an error for floats used as indexes. Sources may be found on Sourceforge <https://sourceforge.net/projects/numpy/files/NumPy/1.11.0b3/> and both sources and OS X wheels are availble on pypi. Please test, hopefully this … [View More]

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building NumPy with gcc if Python was built with icc?!?
by BERGER Christian Feb. 17, 2016

Feb. 17, 2016

Hi All, Here's a potentially dumb question: is it possible to build NumPy with gcc, if python was built with icc? Right now, the build is failing in the toolchain check phase, because gcc doesn't know how to handle icc-specific c flags (like -fp-model, prec-sqrt, ...) In our environment we're providing an embedded python that our customers should be able to use and extend with 3rd party modules (like numpy). Problem is that our sw is built using icc, but we don't want to force our customers to … [View More]

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Re: [Numpy-discussion] Fwd: Windows wheels for testing
by R Schumacher Feb. 16, 2016

Feb. 16, 2016

At 03:45 PM 2/12/2016, you wrote: >PS C:\tmp> c:\Python35\python -m venv np-testing >PS C:\tmp> .\np-testing\Scripts\Activate.ps1 >(np-testing) PS C:\tmp> pip install -f >https://nipy.bic.berkeley.edu/scipy_installers/atlas_builds numpy nose C:\Python34\Scripts>pip install "D:\Python distros\numpy-1.10.4-cp34-none-win_amd64.whl" Unpacking d:\python distros\numpy-1.10.4-cp34-none-win_amd64.whl Installing collected packages: numpy Successfully installed numpy Cleaning … [View More]up... C:\Python34\Scripts>..\python Python 3.4.2 (v3.4.2:ab2c023a9432, Oct 6 2014, 22:16:31) [MSC v.1600 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import numpy >>> numpy.test() Running unit tests for numpy NumPy version 1.10.4 NumPy relaxed strides checking option: False NumPy is installed in C:\Python34\lib\site-packages\numpy Python version 3.4.2 (v3.4.2:ab2c023a9432, Oct 6 2014, 22:16:31) [MSC v.1600 64 bit (AMD64)] nose version 1.3.7 .......................F....S........................................................................................... .....................................................................................................S.................. ..........................................................................................C:\Python34\lib\unittest\case. py:162: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future callable_obj(*args, **kwargs) ........C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future callable_obj(*args, **kwargs) C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a non-integer number instead of an integer will result i n an error in the future callable_obj(*args, **kwargs) .......................................................................................S................................ ........................................................................................................................ ..........................................................................C:\Python34\lib\unittest\case.py:162: Deprecat ionWarning: using a non-integer number instead of an integer will result in an error in the future callable_obj(*args, **kwargs) ..C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future callable_obj(*args, **kwargs) C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a non-integer number instead of an integer will result i n an error in the future callable_obj(*args, **kwargs) C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a non-integer number instead of an integer will result i n an error in the future callable_obj(*args, **kwargs) C:\Python34\lib\unittest\case.py:162: DeprecationWarning: using a non-integer number instead of an integer will result i n an error in the future callable_obj(*args, **kwargs) ........................................................................................................................ ........................................................................................................................ ........................................................................................................................ 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...............................................K.........................................................C:\Python34\lib \site-packages\numpy\ma\core.py:989: RuntimeWarning: invalid value encountered in multiply masked_da = umath.multiply(m, da) C:\Python34\lib\site-packages\numpy\ma\core.py:989: RuntimeWarning: invalid value encountered in multiply masked_da = umath.multiply(m, da) ........................................................................................................................ ..................C:\Python34\lib\site-packages\numpy\core\tests\test_numerictypes.py:372: DeprecationWarning: using a n on-integer number instead of an integer will result in an error in the future return self.ary['f0', 'f1'] ........................................................................................................................ .............................................................................................K.......................... 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...........................................S............................................................................ ..........................................S............................................................C:\Python34\lib\s ite-packages\numpy\ma\core.py:4089: UserWarning: Warning: converting a masked element to nan. warnings.warn("Warning: converting a masked element to nan.") ..............................................................................................................C:\Python3 4\lib\site-packages\numpy\ma\core.py:5116: RuntimeWarning: invalid value encountered in power np.power(out, 0.5, out=out, casting='unsafe') ........................................................................................................................ ........................................................................................................................ ........................................................................................................................ ........................................................................................................................ ........................................................................................................................ ........................................................................................................................ ........................................................................................................................ .......................... ====================================================================== ERROR: test_compile1 (test_system_info.TestSystemInfoReading) ---------------------------------------------------------------------- Traceback (most recent call last): File "C:\Python34\lib\site-packages\numpy\distutils\tests\test_system_info.py", line 182, in test_compile1 c.compile([os.path.basename(self._src1)], output_dir=self._dir1) File "C:\Python34\lib\distutils\msvc9compiler.py", line 460, in compile self.initialize() File "C:\Python34\lib\site-packages\numpy\distutils\msvccompiler.py", line 17, in initialize distutils.msvccompiler.MSVCCompiler.initialize(self, plat_name) File "C:\Python34\lib\distutils\msvc9compiler.py", line 371, in initialize vc_env = query_vcvarsall(VERSION, plat_spec) File "C:\Python34\lib\distutils\msvc9compiler.py", line 259, in query_vcvarsall raise DistutilsPlatformError("Unable to find vcvarsall.bat") distutils.errors.DistutilsPlatformError: Unable to find vcvarsall.bat ====================================================================== FAIL: test_blasdot.test_blasdot_used ---------------------------------------------------------------------- Traceback (most recent call last): File "C:\Python34\lib\site-packages\nose\case.py", line 198, in runTest self.test(*self.arg) File "C:\Python34\lib\site-packages\numpy\testing\decorators.py", line 146, in skipper_func return f(*args, **kwargs) File "C:\Python34\lib\site-packages\numpy\core\tests\test_blasdot.py", line 31, in test_blasdot_used assert_(dot is _dotblas.dot) File "C:\Python34\lib\site-packages\numpy\testing\utils.py", line 53, in assert_ raise AssertionError(smsg) AssertionError ---------------------------------------------------------------------- Ran 5575 tests in 32.042s FAILED (KNOWNFAIL=8, SKIP=12, errors=1, failures=1) <nose.result.TextTestResult run=5575 errors=1 failures=1> >>> [View Less]

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