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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 read_table(cls, filepath_or_buffer, *args, **vargs):
 """Read a table from a file or web address. filepath_or_buffer -- string or file handle / StringIO; The string could be a URL. Valid URL schemes include http, ftp, s3, and file. """

        # Look for .csv at the end of the path; use "," as a separator if found
        try:
            path = urllib.parse.urlparse(filepath_or_buffer).path
            if 'data8.berkeley.edu' in filepath_or_buffer:
                raise ValueError('data8.berkeley.edu requires authentication, '
                                 'which is not supported.')
        except AttributeError:
            path = filepath_or_buffer

        try:
            if 'sep' not in vargs and path.endswith('.csv'):
                vargs['sep'] = ','
        except AttributeError:
            pass
        df = pandas.read_table(filepath_or_buffer, *args, **vargs)
        return cls.from_df(df)