parameters: (y, index, value)
return_statement: return y_mod
docstring: Updates 1d tensor y so that y[index] = value.
  
    Args:
      y: 1-D Tensor.
      index: index of y to modify.
      value: new value to write at y[index].
  
    Returns:
      y_mod: 1-D Tensor. Tensor y after the update.
docstring_summary: Updates 1d tensor y so that y[index] = value.
docstring_tokens: Updates 1d tensor y so that y [ index ] = value .
function: def update_1d_tensor(y, index, value):
    """Updates 1d tensor y so that y[index] = value.
  
    Args:
      y: 1-D Tensor.
      index: index of y to modify.
      value: new value to write at y[index].
  
    Returns:
      y_mod: 1-D Tensor. Tensor y after the update.
    """
    value = array_ops.squeeze(value)
    # modify the 1D tensor x at index with value.
    # ex) chosen_ids = update_1D_tensor(chosen_ids, cluster_idx, best_medoid)
    y_before = array_ops.slice(y, [0], [index])
    y_after = array_ops.slice(y, [index + 1], [-1])
    y_mod = array_ops.concat([y_before, [value], y_after], 0)
    return y_mod
function_tokens: def update_1d_tensor ( y , index , value ) : value = array_ops . squeeze ( value ) # modify the 1D tensor x at index with value. # ex) chosen_ids = update_1D_tensor(chosen_ids, cluster_idx, best_medoid) y_before = array_ops . slice ( y , [ 0 ] , [ index ] ) y_after = array_ops . slice ( y , [ index + 1 ] , [ - 1 ] ) y_mod = array_ops . concat ( [ y_before , [ value ] , y_after ] , 0 ) return y_mod