Deprecated API verison and other warnings

[thwjoy]

Hi Guys, I tried running the noisy example but I get the following error? I've tried reinstalling the scipy stack but to no avail... Does anyone have any ideas? It keeps outputting the error as if it was part of a loop.

`Minimum expected objective value under model is 162.12392 (+/- 47.70827), at location:
NAME TYPE VALUE
---- ---- -----
y float 15.000000
x float 10.000000

Minimum of observed values is 38.554245, at location:
NAME TYPE VALUE
---- ---- -----
y float 7.500000
x float 2.500000
In file included from /home/tomj/.local/lib/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1777:0,
from /home/tomj/.local/lib/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /home/tomj/.local/lib/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,
from /home/tomj/.cache/scipy/python27_compiled/sc_efe69a3fecba151ef9b75ee9eed626cb5351.cpp:23:
/home/tomj/.local/lib/python2.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by "
^
In file included from /home/tomj/.local/lib/python2.7/site-packages/scipy/weave/blitz/blitz/array-impl.h:37:0,
from /home/tomj/.local/lib/python2.7/site-packages/scipy/weave/blitz/blitz/array.h:26,
from /home/tomj/.cache/scipy/python27_compiled/sc_efe69a3fecba151ef9b75ee9eed626cb5351.cpp:11:
/home/tomj/.local/lib/python2.7/site-packages/scipy/weave/blitz/blitz/range.h: In member function ‘bool blitz::Range::isAscendingContiguous() const’:
/home/tomj/.local/lib/python2.7/site-packages/scipy/weave/blitz/blitz/range.h:120:34: warning: suggest parentheses around ‘&&’ within ‘||’ [-Wparentheses]
return ((first_ < last_) && (stride_ == 1) || (first_ == last_));
`

[thwjoy]

Previous issue: #22

Soloution: Comment out lines 230 - 234 (remove the try and except blocks) and unindent lines 236 and 237 like so:

    #try:
    #    scipy.weave.inline(code, ['x1','x2','gX','ls','M','N','D'], \
    #                       type_converters=scipy.weave.converters.blitz, \
    #                       compiler='gcc')
    #except:
    # The C code weave above is 10x faster than this:
    for i in xrange(0,x1.shape[0]):
        gX[i,:,:] = 2*(x1[i,:] - x2[:,:])*(1/ls)

    return gX` 
```