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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 _subset_meta(full_meta, subset, incremented=False):
 """ Return metadata reflecting all conditions in subset Parameters full_meta : ConfigParser obj Metadata object subset : str String describing subset of data to use for analysis incremented : bool If True, the metadata has already been incremented Returns ------- Configparser object or dict Updated version of full_meta accounting for subset string """

    if not subset:
        return full_meta, False

    meta = {}  # Make deepcopy of entire meta (all section dicts in meta dict)
    for key, val in full_meta.iteritems():
        meta[key] = copy.deepcopy(dict(val))

    conditions = subset.replace(' ','').split(';')

    inc = False
    for condition in conditions:
        condition_list = re.split('[<>=]', condition)
        col = condition_list[0]
        val = condition_list[-1]

        try:
            col_step = meta[col]['step']
        except:  # If there's no metadata for this col, do nothing
            continue

        operator = re.sub('[^<>=]', '', condition)

        if operator == '==':
            meta[col]['min'] = val
            meta[col]['max'] = val
        elif operator == '>=':
            meta[col]['min'] = val
        elif operator == '>':
            if incremented:
                meta[col]['min'] = val
            else:
                meta[col]['min'] = str(eval(val) + eval(col_step))
            inc = True
        elif operator == '<=':
            meta[col]['max'] = val
        elif operator == '<':
            if incremented:
                meta[col]['max'] = val
            else:
                meta[col]['max'] = str(eval(val) - eval(col_step))
            inc = True
        else:
            raise ValueError, "Subset %s not valid" % condition

    return meta, inc