<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def load_data_table(table_name, meta_file, meta):
 """Return the contents and metadata of a given table. Args: table_name(str):
 Name of the table. meta_file(str):
 Path to the meta.json file. meta(dict):
 Contents of meta.json. Returns: tuple(pandas.DataFrame, dict) """

    for table in meta['tables']:
        if table['name'] == table_name:
            prefix = os.path.dirname(meta_file)
            relative_path = os.path.join(prefix, meta['path'], table['path'])
            return pd.read_csv(relative_path), table