import cupy import operator import warnings def _deprecate_as_int(x, desc): try: return operator.index(x) except TypeError as e: try: ix = int(x) except TypeError: pass else: if ix == x: warnings.warn( 'In future, this will raise TypeError, as {} will ' 'need to be an integer not just an integral float.' .format(desc), DeprecationWarning, stacklevel=3 ) return ix raise TypeError('{} must be an integer'.format(desc)) from e def trimseq(seq): """Removes small polynomial series coefficients. Args: seq (cupy.ndarray): input array. Returns: cupy.ndarray: input array with trailing zeros removed. If the resulting output is empty, it returns the first element. .. seealso:: :func:`numpy.polynomial.polyutils.trimseq` """ if seq.size == 0: return seq ret = cupy.trim_zeros(seq, trim='b') if ret.size > 0: return ret return seq[:1] def as_series(alist, trim=True): """Returns argument as a list of 1-d arrays. Args: alist (cupy.ndarray or list of cupy.ndarray): 1-D or 2-D input array. trim (bool, optional): trim trailing zeros. Returns: list of cupy.ndarray: list of 1-D arrays. .. seealso:: :func:`numpy.polynomial.polyutils.as_series` """ arrays = [] for a in alist: if a.size == 0: raise ValueError('Coefficient array is empty') if a.ndim > 1: raise ValueError('Coefficient array is not 1-d') if a.dtype.kind == 'b': raise ValueError('Coefficient arrays have no common type') a = a.ravel() if trim: a = trimseq(a) arrays.append(a) dtype = cupy.common_type(*arrays) ret = [a.astype(dtype, copy=False) for a in arrays] return ret def trimcoef(c, tol=0): """Removes small trailing coefficients from a polynomial. Args: c(cupy.ndarray): 1d array of coefficients from lowest to highest order. tol(number, optional): trailing coefficients whose absolute value are less than or equal to ``tol`` are trimmed. Returns: cupy.ndarray: trimmed 1d array. .. seealso:: :func:`numpy.polynomial.polyutils.trimcoef` """ if tol < 0: raise ValueError('tol must be non-negative') if c.size == 0: raise ValueError('Coefficient array is empty') if c.ndim > 1: raise ValueError('Coefficient array is not 1-d') if c.dtype.kind == 'b': raise ValueError('bool inputs are not allowed') if c.ndim == 0: c = c.ravel() c = c.astype(cupy.common_type(c), copy=False) filt = (cupy.abs(c) > tol)[::-1] ind = c.size - cupy._manipulation.add_remove._first_nonzero_krnl( filt, c.size).item() if ind == 0: return cupy.zeros_like(c[:1]) return c[: ind]