<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def verify_indices_all_unique(obj):
 """ Check that all axes of a pandas object are unique. Parameters obj : pd.Series / pd.DataFrame / pd.Panel The object to validate. Returns ------- obj : pd.Series / pd.DataFrame / pd.Panel The validated object, unchanged. Raises ------ ValueError If any axis has duplicate entries. """

    axis_names = [
        ('index',),                            # Series
        ('index', 'columns'),                  # DataFrame
        ('items', 'major_axis', 'minor_axis')  # Panel
    ][obj.ndim - 1]  # ndim = 1 should go to entry 0,

    for axis_name, index in zip(axis_names, obj.axes):
        if index.is_unique:
            continue

        raise ValueError(
            "Duplicate entries in {type}.{axis}: {dupes}.".format(
                type=type(obj).__name__,
                axis=axis_name,
                dupes=sorted(index[index.duplicated()]),
            )
        )
    return obj