code: def repmat(a, m, n):
      """
      Repeat a 0-D to 2-D array or matrix MxN times.
  
      Parameters
      ----------
      a : array_like
          The array or matrix to be repeated.
      m, n : int
          The number of times `a` is repeated along the first and second axes.
  
      Returns
      -------
      out : ndarray
          The result of repeating `a`.
  
      Examples
      --------
      >>> import numpy.matlib
      >>> a0 = np.array(1)
      >>> np.matlib.repmat(a0, 2, 3)
      array([[1, 1, 1],
             [1, 1, 1]])
  
      >>> a1 = np.arange(4)
      >>> np.matlib.repmat(a1, 2, 2)
      array([[0, 1, 2, 3, 0, 1, 2, 3],
             [0, 1, 2, 3, 0, 1, 2, 3]])
  
      >>> a2 = np.asmatrix(np.arange(6).reshape(2, 3))
      >>> np.matlib.repmat(a2, 2, 3)
      matrix([[0, 1, 2, 0, 1, 2, 0, 1, 2],
              [3, 4, 5, 3, 4, 5, 3, 4, 5],
              [0, 1, 2, 0, 1, 2, 0, 1, 2],
              [3, 4, 5, 3, 4, 5, 3, 4, 5]])
  
      """
      a = asanyarray(a)
      ndim = a.ndim
      if ndim == 0:
          origrows, origcols = (1, 1)
      elif ndim == 1:
          origrows, origcols = (1, a.shape[0])
      else:
          origrows, origcols = a.shape
      rows = origrows * m
      cols = origcols * n
      c = (
          a.reshape(1, a.size)
          .repeat(m, 0)
          .reshape(rows, origcols)
          .repeat(n, 0)
      )
      return c.reshape(rows, cols)
  
file_path: catboost/contrib/python/numpy/py2/numpy/matlib.py
imports: from __future__ import division, absolute_import, print_function
  import numpy
  from numpy.matrixlib.defmatrix import matrix, asmatrix
  from numpy import *
label_desc: Use image node_id 8 for calling a global function with example usage: repmat(a, m, n) and returns: c