/usr/lib64/python2.6/site-packages/numpy/lib/
/usr/lib64/python2.6/site-packages/numpy/lib
NameSizeModeActions
benchmarks/-0755rm
tests/-0755rm
arraysetops.py137040644editdlrm
arraysetops.pyc133800644editdlrm
arraysetops.pyo133800644editdlrm
arrayterator.py64370644editdlrm
arrayterator.pyc70220644editdlrm
arrayterator.pyo70220644editdlrm
financial.py208720644editdlrm
financial.pyc215460644editdlrm
financial.pyo215460644editdlrm
format.py193090644editdlrm
format.pyc172790644editdlrm
format.pyo172790644editdlrm
function_base.py1005240644editdlrm
function_base.pyc991690644editdlrm
function_base.pyo991690644editdlrm
getlimits.py87900644editdlrm
getlimits.pyc100530644editdlrm
getlimits.pyo100530644editdlrm
index_tricks.py267900644editdlrm
index_tricks.pyc280080644editdlrm
index_tricks.pyo280080644editdlrm
info.py62400644editdlrm
info.pyc64250644editdlrm
info.pyo64250644editdlrm
io.py532260644editdlrm
io.pyc441020644editdlrm
io.pyo441020644editdlrm
machar.py106580644editdlrm
machar.pyc86880644editdlrm
machar.pyo86880644editdlrm
polynomial.py355620644editdlrm
polynomial.pyc381390644editdlrm
polynomial.pyo381390644editdlrm
recfunctions.py320380644editdlrm
recfunctions.pyc294510644editdlrm
recfunctions.pyo294510644editdlrm
scimath.py139970644editdlrm
scimath.pyc158670644editdlrm
scimath.pyo158670644editdlrm
setup.py5880644editdlrm
setup.pyc9180644editdlrm
setup.pyo9180644editdlrm
setupscons.py4700644editdlrm
setupscons.pyc8240644editdlrm
setupscons.pyo8240644editdlrm
shape_base.py243870644editdlrm
shape_base.pyc252910644editdlrm
shape_base.pyo252910644editdlrm
stride_tricks.py39720644editdlrm
stride_tricks.pyc38630644editdlrm
stride_tricks.pyo38630644editdlrm
twodim_base.py229460644editdlrm
twodim_base.pyc254640644editdlrm
twodim_base.pyo254640644editdlrm
type_check.py170750644editdlrm
type_check.pyc183920644editdlrm
type_check.pyo183920644editdlrm
ufunclike.py54520644editdlrm
ufunclike.pyc63110644editdlrm
ufunclike.pyo63110644editdlrm
user_array.py74750644editdlrm
user_array.pyc157270644editdlrm
user_array.pyo157270644editdlrm
utils.py340340644editdlrm
utils.pyc304220644editdlrm
utils.pyo304220644editdlrm
_compiled_base.so197200755editdlrm
_datasource.py206380644editdlrm
_datasource.pyc209860644editdlrm
_datasource.pyo209860644editdlrm
_iotools.py277120644editdlrm
_iotools.pyc269160644editdlrm
_iotools.pyo269160644editdlrm
__init__.py9360644editdlrm
__init__.pyc10380644editdlrm
__init__.pyo10380644editdlrm
Edit: /usr/lib64/python2.6/site-packages/numpy/lib/stride_tricks.pyc (3863B)
Ñò \ÐKc@sMdZddkZdgZdefd„ƒYZddd„Zd„ZdS(s¢ Utilities that manipulate strides to achieve desirable effects. An explanation of strides can be found in the "ndarray.rst" file in the NumPy reference guide. iÿÿÿÿNtbroadcast_arrayst DummyArraycBseZdZdd„ZRS(s… Dummy object that just exists to hang __array_interface__ dictionaries and possibly keep alive a reference to a base array. cCs||_||_dS(N(t__array_interface__tbase(tselft interfaceR((s=/usr/lib64/python2.6/site-packages/numpy/lib/stride_tricks.pyt__init__s N(t__name__t __module__t__doc__tNoneR(((s=/usr/lib64/python2.6/site-packages/numpy/lib/stride_tricks.pyR scCsjt|iƒ}|dj ot|ƒ|d>> x = np.array([[1,2,3]]) >>> y = np.array([[1],[2],[3]]) >>> np.broadcast_arrays(x, y) [array([[1, 2, 3], [1, 2, 3], [1, 2, 3]]), array([[1, 1, 1], [2, 2, 2], [3, 3, 3]])] Here is a useful idiom for getting contiguous copies instead of non-contiguous views. >>> map(np.array, np.broadcast_arrays(x, y)) [array([[1, 2, 3], [1, 2, 3], [1, 2, 3]]), array([[1, 1, 1], [2, 2, 2], [3, 3, 3]])] iiisKshape mismatch: two or more arrays have incompatible dimensions on axis %r.R R (tmapRRR tlentsettlistR tmaxtranget ValueErrortremovetpoptappendtzipR(targst_[1]Rtshapest_[2]tst_[3]R t_[4]tndstbiggesttitdifft common_shapetaxist_[5]tlengthstuniquet new_lengtht_[6]tshtstt broadcasted((s=/usr/lib64/python2.6/site-packages/numpy/lib/stride_tricks.pyRsF'$'*'  ! %   A( R tnumpyRt__all__tobjectRR RR(((s=/usr/lib64/python2.6/site-packages/numpy/lib/stride_tricks.pyts