code: def _remove_zero_rows(A, b):
      """
       Eliminates trivial equations from system of equations defined by Ax = b
      and identifies trivial infeasibilities
  
       Parameters
       ----------
       A : 2-D array
           An array representing the left-hand side of a system of equations
       b : 1-D array
           An array representing the right-hand side of a system of equations
  
       Returns
       -------
       A : 2-D array
           An array representing the left-hand side of a system of equations
       b : 1-D array
           An array representing the right-hand side of a system of equations
       status: int
           An integer indicating the status of the removal operation
           0: No infeasibility identified
           2: Trivially infeasible
       message : str
           A string descriptor of the exit status of the optimization.
  
      """
      status = 0
      message = ""
      i_zero = _row_count(A) == 0
      A = A[np.logical_not(i_zero), :]
      if not (np.allclose(b[i_zero], 0)):
          status = 2
          message = (
              "There is a zero row in A_eq with a nonzero corresponding "
              "entry in b_eq. The problem is infeasible."
          )
      b = b[np.logical_not(i_zero)]
      return A, b, status, message
  
file_path: catboost/contrib/python/scipy/py3/scipy/optimize/_remove_redundancy.py
imports: import numpy
  from scipy.linalg import svd
  from scipy.linalg.interpolative import interp_decomp
  import scipy
  from scipy.linalg.blas import dtrsm
label_desc: Use image node_id 3 for calling a global function with example usage: _remove_zero_rows(A, b) and returns: A,  b,  status,  message