`iFddlZddlZddlZddlZddlZddlmZddlmZGdde Z Gdde Z e Z Gdd e Z e Z efd Zd ZddZddZddZddZddZddZddZdS)N) from_data)joinc,eZdZdZdZd dZdZd Zd S) AxisConcatenatorzTranslates slice objects to concatenation along an axis. For detailed documentation on usage, see :func:`cupy.r_`. This implementation is partially borrowed from NumPy's one. c||z }|dkr||dzz }tt|}|}|d|||dz|||z}||S)Nr)listrange transpose) selfobjndimndmintrans1dk2defaxesk1axess k/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/cupy/_indexing/generate.py _output_objzAxisConcatenator._output_objsv T\ Q;; rAv GuU||$$ ss|gbccl* BrEN}}T"""rFrc>||_||_||_||_dSN)axisrmatrixr)r rrrrs r__init__zAxisConcatenator.__init__ s"    rc|j}|j}g}g}g}ttrttt sft D] \}}t|trtt|tr|dkrtdtt|tj vr,tj ||} ||nqtj |d|} |dkr?tj |dj} |dkr| |kr|| | ||} || || "tjg|fd |DR} | #|D] }||| ||<!t'jt ||j S) Nrz+special directives must be the first entry.)rF)copyrrrrc g|] }| Sr").0kkeys r z0AxisConcatenator.__getitem__..Fs2K2K2Ka3q62K2K2Kr)r)rr isinstancestrNotImplementedErrortuple enumerateslice ValueErrortypenumpy ScalarTyperarrayappendrr result_typeastyper concatenater) r r%rrobjsarraysscalarsir$newobjr final_dtypes ` r __getitem__zAxisConcatenator.__getitem__&s,  c3   &% %#u%% &CcNN  DAq!U## &))As## &66$EGGG))aE,,,"%888q!!!!"eDDD199$?15999>D"}}!%!1!1&$w!O!O f%%% KK    'LL2K2K2K2K72K2K2KLLL  " 6 6q'..55Qd $)<<<r"rrrrs`### %=%=%=NrrceZdZfdZxZS)CClassc^tt|ddddS)Nrr)rr)superrDrr __class__s rrzCClass.__init__Ss. fd$$Rq!$<<<<>> grid = cupy.indices((2, 3)) >>> grid.shape (2, 2, 3) >>> grid[0] # row indices array([[0, 0, 0], [1, 1, 1]]) >>> grid[1] # column indices array([[0, 1, 2], [0, 1, 2]]) .. seealso:: :func:`numpy.indices` rdtypeNr)r*lencupyemptyr+arangereshape) dimensionsrSNshaperesr9dims rindicesr^s<z""J JA 1HE *aTJ&e 4 4 4CJ''  3S...66 "1"I q1uvv .  A Jrcg}t|}t|D]\}}tj|}|jdkrt d|jdkr|tj }tj |j tj r|\}|d|z|jfzd||z dz zz}||t#|S)aConstruct an open mesh from multiple sequences. This function takes N 1-D sequences and returns N outputs with N dimensions each, such that the shape is 1 in all but one dimension and the dimension with the non-unit shape value cycles through all N dimensions. Using `ix_` one can quickly construct index arrays that will index the cross product. ``a[cupy.ix_([1,3],[2,5])]`` returns the array ``[[a[1,2] a[1,5]], [a[3,2] a[3,5]]]``. Args: *args: 1-D sequences Returns: tuple of ndarrays: N arrays with N dimensions each, with N the number of input sequences. Together these arrays form an open mesh. Examples -------- >>> a = cupy.arange(10).reshape(2, 5) >>> a array([[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]) >>> ixgrid = cupy.ix_([0,1], [2,4]) >>> ixgrid (array([[0], [1]]), array([[2, 4]])) .. warning:: This function may synchronize the device. .. seealso:: :func:`numpy.ix_` rz!Cross index must be 1 dimensionalrrQ)rTr+rasarrayrr-sizer4r/intprU issubdtyperSbool_nonzerorXr2r*)argsoutndr$news rix_rjsN C TBD//  3$$ 8q==@AA A 8q==**UZ((C ?39dj 1 1 !;;==DCkk$(ch[0426A:3FFGG 3 ::rwrapCcPt|}t||kr"td||D]K}t|tjs/t dt|Lt|tr|f|z}tj tj |tjtjjkrtdd}dg|z}|dn|}|dkr+t%|dz ddD]}|||dzz}|||<n<|d kr't%d|D]}|||dz z}|||<ntd tj|}tj|d jtj } t-||||D]K\}} } } t| tjst d tj| tjds>t d| jtjj| tjd} | dkr?tjtj| |k| d krtdnN| dkrtj| d |dz } n.| dkr| |z} n"td| | | | zz } M| S)a" Converts a tuple of index arrays into an array of flat indices, applying boundary modes to the multi-index. Args: multi_index (tuple of cupy.ndarray) : A tuple of integer arrays, one array for each dimension. dims (tuple of ints): The shape of array into which the indices from ``multi_index`` apply. mode ('raise', 'wrap' or 'clip'), optional: Specifies how out-of-bounds indices are handled. Can specify either one mode or a tuple of modes, one mode per index: - *'raise'* -- raise an error - *'wrap'* -- wrap around (default) - *'clip'* -- clip to the range In 'clip' mode, a negative index which would normally wrap will clip to 0 instead. order ('C' or 'F'), optional: Determines whether the multi-index should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order. Returns: raveled_indices (cupy.ndarray): An array of indices into the flattened version of an array of dimensions ``dims``. .. warning:: This function may synchronize the device when ``mode == 'raise'``. Notes ----- Note that the default `mode` (``'wrap'``) is different than in NumPy. This is done to avoid potential device synchronization. Examples -------- >>> cupy.ravel_multi_index(cupy.asarray([[3,6,6],[4,5,1]]), (7,6)) array([22, 41, 37]) >>> cupy.ravel_multi_index(cupy.asarray([[3,6,6],[4,5,1]]), (7,6), ... order='F') array([31, 41, 13]) >>> cupy.ravel_multi_index(cupy.asarray([[3,6,6],[4,5,1]]), (4,6), ... mode='clip') array([22, 23, 19]) >>> cupy.ravel_multi_index(cupy.asarray([[3,6,6],[4,5,1]]), (4,4), ... mode=('clip', 'wrap')) array([12, 13, 13]) >>> cupy.ravel_multi_index(cupy.asarray((3,1,4,1)), (6,7,8,9)) array(1621) .. seealso:: :func:`numpy.ravel_multi_index`, :func:`unravel_index` z5parameter multi_index must be a sequence of length {}z-{} object cannot be interpreted as an integerzQinvalid dims: array size defined by dims is larger than the maximum possible sizerNrlrFrForder not understoodrrRz+elements of multi_index must be cupy arrays same_kindzgmulti_index entries could not be cast from dtype('{}') to dtype('{}') according to the rule 'same_kind'Fr raisez"invalid entry in coordinates arraycliprkzUnrecognized mode: {})rTr-formatr'numbersIntegral TypeErrorr.r( functoolsreduceoperatormulrUiinfoint64maxupperr broadcast_arrayszerosr[zipndarraycan_castrSr4any logical_orrr) multi_indexdimsmodeorderrds ravel_stridesr9raveled_indicesstrideidx_modes rravel_multi_indexrsSp t99D ;4 t && &!W-.. ?FFGG   $x$ d++dj.D.D.HHH:;; ; AC$JM=CCekkmmE ||taxR(( ! !ADQKA M!   ! #q$ ! !ADQKA M!   !/000'5KjQ!5TZHHHO!$T=+t!L!L((63#t|,, KIJJ J}S$*k:: 4DDJFItz||1E3E344 4jj%j00 G  xq#'::;; G !EFFF G f__)CAE**CC f__'CC4;;EBBCC C6C<' rcr|dn|}|dkrt|}n|dkrntdtj|tjds>t d|jtjj|dk rtdg}|D]}| ||z||z} |dk rtd|dkrt|}t|S) aConverts array of flat indices into a tuple of coordinate arrays. Args: indices (cupy.ndarray): An integer array whose elements are indices into the flattened version of an array of dimensions :obj:`dims`. dims (tuple of ints): The shape of the array to use for unraveling indices. order ('C' or 'F'): Determines whether the indices should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order. Returns: tuple of ndarrays: Each array in the tuple has the same shape as the indices array. Examples -------- >>> cupy.unravel_index(cupy.array([22, 41, 37]), (7, 6)) (array([3, 6, 6]), array([4, 5, 1])) >>> cupy.unravel_index(cupy.array([31, 41, 13]), (7, 6), order='F') (array([3, 6, 6]), array([4, 5, 1])) .. warning:: This function may synchronize the device. .. seealso:: :func:`numpy.unravel_index`, :func:`ravel_multi_index` NrlrnrorpzlIterator operand 0 dtype could not be cast from dtype('{}') to dtype('{}') according to the rule 'same_kind'rzinvalid entry in index array) r~reversedr-rUrr|rvrsrSrr2r*)r^rrunraveled_coordsr]s r unravel_indexrjsG<=CCekkmmE ||~~ # /000 =$*k : :4 228& tz||1333344 4 ! 97888!!# ...S.! 97888 ||#$455 ! " ""rctj||ftj}|||S)a< Return the indices to access (n, n) arrays, given a masking function. Assume `mask_func` is a function that, for a square array a of size ``(n, n)`` with a possible offset argument `k`, when called as ``mask_func(a, k)`` returns a new array with zeros in certain locations (functions like :func:`~cupy.triu` or :func:`~cupy.tril` do precisely this). Then this function returns the indices where the non-zero values would be located. Args: n (int): The returned indices will be valid to access arrays of shape (n, n). mask_func (callable): A function whose call signature is similar to that of :func:`~cupy.triu`, :func:`~tril`. That is, ``mask_func(x, k)`` returns a boolean array, shaped like `x`. `k` is an optional argument to the function. k (scalar): An optional argument which is passed through to `mask_func`. Functions like :func:`~cupy.triu`, :func:`~cupy.tril` take a second argument that is interpreted as an offset. Returns: tuple of arrays: The `n` arrays of indices corresponding to the locations where ``mask_func(np.ones((n, n)), k)`` is True. .. warning:: This function may synchronize the device. .. seealso:: :func:`numpy.mask_indices` rR)rUonesint8re)n mask_funcr$as r mask_indicesrs;B 1a& ***A 9Q?? " " $ $$rctj|||ttfdtjjt DS)aReturns the indices of the lower triangular matrix. Here, the first group of elements contains row coordinates of all indices and the second group of elements contains column coordinates. Parameters ---------- n : int The row dimension of the arrays for which the returned indices will be valid. k : int, optional Diagonal above which to zero elements. `k = 0` (the default) is the main diagonal, `k < 0` is below it and `k > 0` is above. m : int, optional The column dimension of the arrays for which the returned arrays will be valid. By default, `m = n`. Returns ------- y : tuple of ndarrays The indices for the triangle. The returned tuple contains two arrays, each with the indices along one dimension of the array. See Also -------- numpy.tril_indices r$rSc3XK|]$}tj|jV%dSrrU broadcast_tor[r#indstri_s r ztril_indices..SBB"444T:BBBBBBrrRrUtriboolr*r^r[intrr$mrs @r tril_indicesrsq@ 8AqAT * * *D BBBB!\$*C@@@BBB B BBrc|jdkrtdt|jd||jdS)a6Returns the indices for the lower-triangle of arr. Parameters ---------- arr : cupy.ndarray The indices are valid for square arrays whose dimensions are the same as arr. k : int, optional Diagonal offset. See Also -------- numpy.tril_indices_from rFinput array must be 2-drr$r)rr-rr[arrr$s rtril_indices_fromrs?" x1}}2333  " cim < < <.1rrrRrrs @r triu_indicesrsxB HQQU$ / / / /D BBBB!\$*C@@@BBB B BBrc|jdkrtdt|jd||jdS)aReturns indices for the upper-triangle of arr. Parameters ---------- arr : cupy.ndarray The indices are valid for square arrays. k : int, optional Diagonal offset (see 'triu_indices` for details). Returns ------- triu_indices_from : tuple of ndarrays Indices for the upper-triangle of `arr`. See Also -------- numpy.triu_indices_from rFrrrr)rr-rr[rs rtriu_indices_fromr5s?* x1}}2333  " cim < < <rs $$$$$$######@@@@@v@@@F===== ===  VXX4''''' '''  VXX:"&&&&R444nqqqqh:#:#:#:#z"%"%"%"%V#B#B#B#BL====,$B$B$B$BN======r