Default matrix-matrix multiplication handler.

Generate a random, non-degenerate 2D affine matrix. Composes rotation, scaling, shear, and translation within reasonable ranges for testing w

Raise ``ValueError`` if this is not a 2-D array/matrix. Central guard for operations that are only meaningful in 2-D (e.g. ``diagonal

Promote a 1d array to ndim with non-singleton size along axis.

Reshape the updated yi to a 1-D array

Default implementation of _rmatmat defers to rmatvec or adjoint.

Convert a sparse matrix result to the matching array type. When the requested format has no implemented array-side conversion (e.g. CSR -> DI

Whether a CSR<->CSC transpose must use the pure-CuPy fallback. cuSPARSE's ``Csr2cscEx2`` (and legacy ``csr2csc``) support only float/complex

Return an integer for ``5`` and ``array(5)``, fail if not an integer scalar. NB: would be easier if ``operator.index(cupy.array(5))`` work

Change a transfer function from the variable `z` to `z**-1`. Parameters ---------- num, den: 1d array_like Sequen

Construct a new piecewise polynomial representing the antiderivative. Antiderivative is also the indefinite integral of the function,

Return a view or a copy in the given mode. Args: mode (mode Object): How overlaps of the chunks are interpreted.

Returns an array of samples drawn from a exponential distribution. .. warning:: This function may synchronize the device.

Get two 32 bit ints from a double. */

Decorator that checks the fixture with a product set of dtypes. Args: types(list of dtypes): dtypes to be tested. names(list of

Construct a piecewise polynomial in Bernstein basis from a power basis polynomial. Parameters ---------- pp

Compute the one-dimensional inverse FFT. Args: x (cupy.ndarray): Array to be transformed. n (None or int): Length of the transfor

Start `cupyx.distributed` and obtain a communicator. This call initializes the distributed environment, it needs to be called for every proce

Map the input array to new coordinates by interpolation. The array of coordinates is used to find, for each point in the output, the correspo

Raise a square matrix to the (integer) power `n`. Args: M (~cupy.ndarray): Matrix to raise by power n. n (~int): Power to raise m

Returns an array of samples drawn from the poisson distribution. .. seealso:: - :func:`cupy.random.poisson` for full documentatio

Prepare input for cubic spline interpolators. All data are converted to numpy arrays and checked for correctness. Axes equal to `axis` of arra

Find all points within distance r of point(s) x. Parameters ---------- x : array_like, shape tuple + (self.m,)

Performs a reduce operation. Args: in_array (cupy.ndarray): array to be sent. out_array (cupy.ndarray): array where t

Adjoint matrix-matrix multiplication.

np.roots replacement. XXX: calls into NumPy, then converts back.

Save a payload to cache. This method may perform I/O asynchronously to avoid blocking kernel execution. Args: na

Set the shape of the matrix in-place.

Continue spline computation with the given smoothing factor s and with the knots found at the last call. This routine modifies the s

r"""Return zero, pole, gain (z, p, k) representation from a numerator, denominator representation of a linear filter. Parameters --------

Find the unique elements of an array. Returns the sorted unique elements of an array. There are three optional outputs in addition to the uni

Determine unique roots and their multiplicities from a list of roots. Parameters ---------- p : array_like The list of roots.

Return polynomial transfer function representation from zeros and poles Parameters ---------- z : array_like Zeros of the tr

Adds two systems in the sense of frequency domain addition.

Run an in-place structural op on the ``(1, N)`` backing of a 1-D array, then adopt the resulting arrays/flags (keeping the 1-D shape).

Ensure argument `wlen` is of type `np.intp` and larger than 1. Used in `peak_prominences` and `peak_widths`. Returns ------- value :