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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 from_json_dict(dct, validate=True):
 # type: (Dict[str, Any], bool) -> Schema """ Create a Schema for v1 or v2 according to dct :param dct: This dictionary must have a `'features'` key specifying the columns of the dataset. It must have a `'version'` key containing the master schema version that this schema conforms to. It must have a `'hash'` key with all the globals. :param validate: (default True) Raise an exception if the schema does not conform to the master schema. :return: the Schema """

    if validate:
        # This raises iff the schema is invalid.
        validate_schema_dict(dct)

    version = dct['version']
    if version == 1:
        dct = convert_v1_to_v2(dct)
        if validate:
            validate_schema_dict(dct)
    elif version != 2:
        msg = ('Schema version {} is not supported. '
               'Consider updating clkhash.').format(version)
        raise SchemaError(msg)

    clk_config = dct['clkConfig']
    l = clk_config['l']
    xor_folds = clk_config.get('xor_folds', 0)

    kdf = clk_config['kdf']
    kdf_type = kdf['type']
    kdf_hash = kdf.get('hash', 'SHA256')
    kdf_info_string = kdf.get('info')
    kdf_info = (base64.b64decode(kdf_info_string)
                if kdf_info_string is not None
                else None)
    kdf_salt_string = kdf.get('salt')
    kdf_salt = (base64.b64decode(kdf_salt_string)
                if kdf_salt_string is not None
                else None)
    kdf_key_size = kdf.get('keySize', DEFAULT_KDF_KEY_SIZE)

    fields = list(map(spec_from_json_dict, dct['features']))
    return Schema(fields, l, xor_folds,
                  kdf_type, kdf_hash, kdf_info, kdf_salt, kdf_key_size)