[Numpy-discussion] varargs for logical_or, etc

[Neal Becker]

I think it's unfortunate that functions like logical_or are limited to binary.

As a workaround, I've been using this:

def apply_binary (func, *args):
if len (args) == 1:
return args[0]
elif len (args) == 2:
return func (*args)
else:
return func (
apply_binary (func, *args[:len(args)/2]),
apply_binary (func, *args[(len(args))/2:]))

Then for example:

punc2 = np.logical_and (u % 5 == 4,
   apply_binary (np.logical_or, u/5 == 3, u/5 == 8, u/5 == 
13))


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Re: [Numpy-discussion] varargs for logical_or, etc

[Robert Kern]

On Tue, Jun 5, 2012 at 2:54 PM, Neal Becker ndbeck...@gmail.com wrote:
 I think it's unfortunate that functions like logical_or are limited to binary.

 As a workaround, I've been using this:

 def apply_binary (func, *args):
    if len (args) == 1:
        return args[0]
    elif len (args) == 2:
        return func (*args)
    else:
        return func (
            apply_binary (func, *args[:len(args)/2]),
            apply_binary (func, *args[(len(args))/2:]))

 Then for example:

 punc2 = np.logical_and (u % 5 == 4,
                       apply_binary (np.logical_or, u/5 == 3, u/5 == 8, u/5 ==
 13))


reduce(np.logical_and, args)

-- 
Robert Kern
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Re: [Numpy-discussion] varargs for logical_or, etc

[Ralf Gommers]

On Tue, Jun 5, 2012 at 6:59 PM, Benjamin Root ben.r...@ou.edu wrote:



 On Tue, Jun 5, 2012 at 10:37 AM, Robert Kern robert.k...@gmail.comwrote:

 On Tue, Jun 5, 2012 at 2:54 PM, Neal Becker ndbeck...@gmail.com wrote:
  I think it's unfortunate that functions like logical_or are limited to
 binary.
 
  As a workaround, I've been using this:
 
  def apply_binary (func, *args):
 if len (args) == 1:
 return args[0]
 elif len (args) == 2:
 return func (*args)
 else:
 return func (
 apply_binary (func, *args[:len(args)/2]),
 apply_binary (func, *args[(len(args))/2:]))
 
  Then for example:
 
  punc2 = np.logical_and (u % 5 == 4,
apply_binary (np.logical_or, u/5 == 3, u/5 == 8,
 u/5 ==
  13))


 reduce(np.logical_and, args)


 I would love it if we could add something like that to the doc-string of
 those functions because I don't think it is immediately obvious.  How do we
 do that for ufuncs?


Edit numpy/core/code_generators/ufunc_docstrings.py

Ralf
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