Zeros of the `ZerosPolesGain` system.

Cast the array elements to a specified type. Args: dtype: Target dtype. copy (bool): If ``True`` (default), the retur

Gives a new shape to a sparse matrix without changing its data. Args: shape (tuple): The new shape should be comp

Data type of the matrix.

Return a copy of this object on host memory. Args: stream (cupy.cuda.Stream): CUDA stream object. If it is given,

Return a dense ndarray representation of this matrix.

Sums the matrix elements over a given axis. Args: axis (int or ``None``): Axis along which the sum is computed. I

Ordinary dot product

Construct from pre-validated arrays (no check_contents). Internal API for building COO matrices when the caller has already determine

Element-wise complex conjugation. If the matrix is of non-complex data type and `copy` is False, this method does nothing and the dat

Reverses the dimensions of the sparse matrix.

Returns a copy of this matrix. No data/indices will be shared between the returned value and current matrix.

Not supported.

Convert this matrix to Compressed Sparse Row format.

Returns the maximum of the matrix or maximum along an axis. Args: axis (int): {-2, -1, 0, 1, ``None``} (optional)

Compute the arithmetic mean along the specified axis. Returns the average of the matrix elements. The average is taken over

Returns the minimum of the matrix or maximum along an axis. Args: axis (int): {-2, -1, 0, 1, ``None``} (optional)

Returns uniform random values over the interval ``[0, 1)``. .. seealso:: - :func:`cupy.random.rand` for full documentation

Not supported.

Eliminate duplicate matrix entries by adding them together. .. warning:: When sorting the indices, CuPy follows the convention of

Not supported.

Convert this matrix to COOrdinate format.

Not supported.

Returns indices of maximum elements along an axis. Implicit zero elements are taken into account. If there are several maximum values

Point-wise multiplication by another matrix

Not supported.

Convert this matrix to Compressed Sparse Column format.

Returns a scalar or an array of integer values over ``[low, high)``. .. seealso:: - :func:`cupy.random.randint` for full document

Returns an array of uniformly-distributed samples over an interval. .. seealso:: - :func:`cupy.random.uniform` for full documenta

---------- helpers ---------- */

Tests whether any array elements along a given axis evaluate to True. Parameters ---------- a : cupy.ndarray Input array. axi

Raises an AssertionError if objects are not equal up to desired tolerance. Args: actual(numpy.ndarray or cupy.ndarray): The actual objec

Not supported.

Not supported.

Not supported.

Returns indices of minimum elements along an axis. Implicit zero elements are taken into account. If there are several minim

Return a dense matrix representation of this matrix.

Not supported.

Tests whether all array elements along a given axis evaluate to True. Parameters ---------- a : cupy.ndarray Input array. axi

Get a copy of the iterator as a 1-D array.

Return the minimum along a given axis. .. note:: Currently, it only supports non-``None`` values for ``axis`` and th

Return this matrix in a given sparse format. Args: format (str or None): Format you need.

Indices of the non-zero elements. Returns a tuple of cupy.ndarrays, one per dimension -- ``(row, col)`` for a 2-D array/matrix or ``(

Not supported.

Not supported.

Returns the k-th diagonal of the matrix. Args: k (int, optional): Which diagonal to get, corresponding to elements a[

Raises an AssertionError if objects are not equal up to desired precision. Args: x(numpy.ndarray or cupy.ndarray): The actual object to

Number of non-zero entries. Subclasses override this; ``_spbase`` itself does not implement a generic counter.

Returns an array of standard normal random values. .. seealso:: - :func:`cupy.random.randn` for full documentation -

3x4 CSR with 4 nonzeros.

TODO(leofang): perhaps these should be merged with the support of hipBLAS?

The function that all tests end up calling, possibly after a few adjustments to the class "parameters".

Not supported.

Not supported.

Find real roots of the piecewise polynomial. Parameters ---------- discontinuity : bool, optional Whethe

Returns an array of random values from a given 1-D array. .. seealso:: - :func:`cupy.random.choice` for full documentation

r""" Query the kd-tree for nearest neighbors. Parameters ---------- x : array_like, last dimension self.m