code: def column_or_1d(y, warn=False):
      """Ravel column or 1d numpy array, else raises an error
  
      Parameters
      ----------
      y : array-like
  
      warn : boolean, default False
         To control display of warnings.
  
      Returns
      -------
      y : array
  
      """
      y = mt.tensor(y)
      shape = y.shape
      if len(shape) == 1:
          return mt.ravel(y)
      if len(shape) == 2 and shape[1] == 1:
          if warn:
              warnings.warn(
                  "A column-vector y was passed when a 1d array was"
                  " expected. Please change the shape of y to "
                  "(n_samples, ), for example using ravel().",
                  DataConversionWarning,
                  stacklevel=2,
              )
          return mt.ravel(y)
  
      raise ValueError(
          "y should be a 1d array, got an array of shape {} instead.".format(
              shape
          )
      )
  
imports: import warnings
  import numbers
  import numpy
  from numpy.core.numeric import ComplexWarning
  from ...None import dataframe
  from ...None import tensor
  from ...core import ExecutableTuple
  from ...lib.sparse import issparse
  from ...tensor import Tensor
  from .checks import check_non_negative_then_return_value, assert_all_finite, AssertAllFinite
label_desc: Use image node_id 10 for calling a global function with example usage: column_or_1d(y, warn) and returns: mt, mt