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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def normalize_names(column_names):
 """Given an arbitrary column name, translate to a SQL-normalized column name a la CARTO's Import API will translate to Examples * 'Field: 2' -> 'field_2' * '2 Items' -> '_2_items' * 'Unnamed: 0' -> 'unnamed_0', * '201moore' -> '_201moore', * '201moore' -> '_201moore_1', * 'Acadia 1.2.3' -> 'acadia_1_2_3', * 'old_soaker' -> 'old_soaker', * '_testingTesting' -> '_testingtesting', * 1 -> '_1', * 1.0 -> '_1_0', * 'public' -> 'public', * 'SELECT' -> '_select', * 'à' -> 'a', * 'longcolumnshouldbesplittedsomehowanditellyouwhereitsgonnabesplittedrightnow' -> \ 'longcolumnshouldbesplittedsomehowanditellyouwhereitsgonnabespli', * 'longcolumnshouldbesplittedsomehowanditellyouwhereitsgonnabesplittedrightnow' -> \ 'longcolumnshouldbesplittedsomehowanditellyouwhereitsgonnabe_1', * 'all' -> '_all' Args: column_names (list):
 List of column names that will be SQL normalized Returns: list: List of SQL-normalized column names """

    result = []
    for column_name in column_names:
        column = Column(column_name).normalize(forbidden_column_names=result)
        result.append(column.name)

    return result