code: def leslie(f, s):
      """Create a Leslie matrix.
  
      Given the length n array of fecundity coefficients ``f`` and the length n-1
      array of survival coefficients ``s``, return the associated Leslie matrix.
  
      Args:
          f (cupy.ndarray): The "fecundity" coefficients.
          s (cupy.ndarray): The "survival" coefficients, has to be 1-D.  The
              length of ``s`` must be one less than the length of ``f``, and it
              must be at least 1.
  
      Returns:
          cupy.ndarray: The array is zero except for the first row, which is
          ``f``, and the first sub-diagonal, which is ``s``. The data-type of
          the array will be the data-type of ``f[0]+s[0]``.
  
      .. seealso:: :func:`scipy.linalg.leslie`
      """
      if f.ndim != 1:
          raise ValueError("Incorrect shape for f. f must be 1D")
      if s.ndim != 1:
          raise ValueError("Incorrect shape for s. s must be 1D")
      n = f.size
      if n != s.size + 1:
          raise ValueError(
              "Length of s must be one less than length of f"
          )
      if s.size == 0:
          raise ValueError("The length of s must be at least 1.")
      a = cupy.zeros((n, n), dtype=cupy.result_type(f, s))
      a[0] = f
      cupy.fill_diagonal(a[1:], s)
      return a
  
imports: import math
  import warnings
  import cupy
  from cupy import _core
  from cupyx.scipy.linalg import _uarray
label_desc: Use image node_id 9 for calling a global function with example usage: leslie(f, s) and returns: a