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* ENH: add signature argument to vectorize for vectorizing like generalized ↵Stephan Hoyer2016-10-171-0/+2
| | | | | | | | | | | | | | | | | | | | | | | | | | | ufuncs (#8054) * ENH: add signature argument to vectorize for generalized ufuncs Example usage (from the docstring): Vectorized convolution: >>> convolve = np.vectorize(np.convolve, signature='(n),(m)->(k)') >>> convolve(np.eye(4), [1, 2, 1]) array([[ 1., 2., 1., 0., 0., 0.], [ 0., 1., 2., 1., 0., 0.], [ 0., 0., 1., 2., 1., 0.], [ 0., 0., 0., 1., 2., 1.]]) * Use str.format rather than % * Fix spelling typo * BUG: fix np.vectorize for size 0 inputs * DOC: add vectorize to 1.12.0 release notes * [ci-skip] Remove outdated comment
* change all non-code instances of Numpy to NumPyPierre de Buyl2016-09-061-2/+2
| | | | | | | | | Instances remain for NumpyVersion and Numpy.rec.fromarrays that are references to code. Release notes were left unchanged. see issue #7986
* DOC: Stricter checks for gufunc signaturesjaimefrio2014-10-201-23/+43
| | | | | | Documented the the new behavior in c-api.generalized-ufuncs.rst. Added PyUFunc_FromFuncAndDataAndSignature to c-api.ufunc.rst.
* DOC: tweak gufunc API documentation, remove broken link. Closes gh-4726.Ralf Gommers2014-05-241-15/+11
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* Merge from doc wikiPauli Virtanen2009-06-191-0/+175