ÿØÿàJFIFÿþ ÿÛC       ÿÛC ÿÀÿÄÿÄ"#QrÿÄÿÄ&1!A"2qQaáÿÚ ?Øy,æ/3JæݹÈ߲؋5êXw²±ÉyˆR”¾I0ó2—PI¾IÌÚiMö¯–þrìN&"KgX:Šíµ•nTJnLK„…@!‰-ý ùúmë;ºgµŒ&ó±hw’¯Õ@”Ü— 9ñ-ë.²1<yà‚¹ïQÐU„ہ?.’¦èûbß±©Ö«Âw*VŒ) `$‰bØԟ’ëXÖ-ËTÜíGÚ3ð«g Ÿ§¯—Jx„–’U/ÂÅv_s(Hÿ@TñJÑãõçn­‚!ÈgfbÓc­:él[ðQe 9ÀPLbÃãCµm[5¿ç'ªjglå‡Ûí_§Úõl-;"PkÞÞÁQâ¼_Ñ^¢SŸx?"¸¦ùY騐ÒOÈ q’`~~ÚtËU¹CڒêV  I1Áß_ÿÙ ]c@`sdZddlmZmZmZddlZddgZdefdYZ dZ dde e d Zd Ze d Zd 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. i(tdivisiontabsolute_importtprint_functionNt broadcast_totbroadcast_arrayst DummyArraycB`seZdZddZRS(sDummy object that just exists to hang __array_interface__ dictionaries and possibly keep alive a reference to a base array. cC`s||_||_dS(N(t__array_interface__tbase(tselft interfaceR((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyt__init__s N(t__name__t __module__t__doc__tNoneR (((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyRscC`sPt|t|k rL|jdt|}|jrL|j|qLn|S(Nttype(Rtviewt__array_finalize__(toriginal_arrayt new_array((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyt_maybe_view_as_subclasss  cC`stj|dtd|}t|j}|dk rIt||dxss4all elements of broadcast shape must be non-negativet reduce_okt readwritetreadonlyR t multi_indextrefs_okt zerosize_oktop_flagst itershapetordertCi(RtiterableRRRRt ValueErrortanyR R!tnditertitviewsRtTrue( RRRR(tneeds_writeabletextrastop_flagt broadcasttresult((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyt _broadcast_toss $cC`st||d|dtS(sBroadcast an array to a new shape. Parameters ---------- array : array_like The array to broadcast. shape : tuple The shape of the desired array. subok : bool, optional If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array (default). Returns ------- broadcast : array A readonly view on the original array with the given shape. It is typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location. Raises ------ ValueError If the array is not compatible with the new shape according to NumPy's broadcasting rules. Notes ----- .. versionadded:: 1.10.0 Examples -------- >>> x = np.array([1, 2, 3]) >>> np.broadcast_to(x, (3, 3)) array([[1, 2, 3], [1, 2, 3], [1, 2, 3]]) RR((R;R5(RRR((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyRs&cG`sv|s dStj|d }xOtdt|dD]5}td|j}tj||||d!}q6W|jS(stReturns the shape of the arrays that would result from broadcasting the supplied arrays against each other. i ii((RR9trangetlenRR(targstbtpos((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyt_broadcast_shapes!c `s|jdt}|r:tdj|jdng|D]!}tj|dtd|^qA}t|tfd|Dr|Sg|D]!}t |d|dt^qS(s Broadcast any number of arrays against each other. Parameters ---------- `*args` : array_likes The arrays to broadcast. subok : bool, optional If True, then sub-classes will be passed-through, otherwise the returned arrays will be forced to be a base-class array (default). Returns ------- broadcasted : list of arrays These arrays are views on the original arrays. They are typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location. If you need to write to the arrays, make copies first. Examples -------- >>> 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. >>> [np.array(a) for a in 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]])] Rs:broadcast_arrays() got an unexpected keyword argument {!r}iRc3`s|]}|jkVqdS(N(R(R$R(R(sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pys sR(( tpopRt TypeErrortformattkeysRRRAtallR;(R>tkwargsRt_mR((RsJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyRs0 . (R t __future__RRRtnumpyRt__all__tobjectRRRRR5R#R;RRAR(((sJ/opt/alt/python27/lib64/python2.7/site-packages/numpy/lib/stride_tricks.pyts   M  )