How to use the hdijupyterutils.guid.ObjectWithGuid function in hdijupyterutils

import textwrap

from hdijupyterutils.guid import ObjectWithGuid

import sparkmagic.utils.configuration as conf
from sparkmagic.utils.sparklogger import SparkLog
from sparkmagic.utils.sparkevents import SparkEvents
from sparkmagic.utils.constants import MAGICS_LOGGER_NAME, FINAL_STATEMENT_STATUS
from .exceptions import LivyUnexpectedStatusException


class Command(ObjectWithGuid):
    def __init__(self, code, spark_events=None):
        super(Command, self).__init__()
        self.code = textwrap.dedent(code)
        self.logger = SparkLog(u"Command")
        if spark_events is None:
            spark_events = SparkEvents()
        self._spark_events = spark_events

    def __eq__(self, other):
        return self.code == other.code

    def __ne__(self, other):
        return not self == other

    def execute(self, session):
        self._spark_events.emit_statement_execution_start_event(session.guid, session.kind, session.id, self.guid)

from hdijupyterutils.guid import ObjectWithGuid

from sparkmagic.utils.utils import coerce_pandas_df_to_numeric_datetime, records_to_dataframe
import sparkmagic.utils.configuration as conf
import sparkmagic.utils.constants as constants
from sparkmagic.utils.sparkevents import SparkEvents
from .command import Command
from .exceptions import DataFrameParseException, BadUserDataException


class SQLQuery(ObjectWithGuid):
    def __init__(self, query, samplemethod=None, maxrows=None, samplefraction=None, spark_events=None, coerce=None):
        super(SQLQuery, self).__init__()
        
        if samplemethod is None:
            samplemethod = conf.default_samplemethod()
        if maxrows is None:
            maxrows = conf.default_maxrows()
        if samplefraction is None:
            samplefraction = conf.default_samplefraction()

        if samplemethod not in {u'take', u'sample'}:
            raise BadUserDataException(u'samplemethod (-m) must be one of (take, sample)')
        if not isinstance(maxrows, int):
            raise BadUserDataException(u'maxrows (-n) must be an integer')
        if not 0.0 <= samplefraction <= 1.0:
            raise BadUserDataException(u'samplefraction (-r) must be a float between 0.0 and 1.0')

import json
import pandas as pd
from collections import OrderedDict
from hdijupyterutils.guid import ObjectWithGuid

from sparkmagic.utils.utils import coerce_pandas_df_to_numeric_datetime
import sparkmagic.utils.configuration as conf
import sparkmagic.utils.constants as constants
from sparkmagic.utils.sparkevents import SparkEvents
from .command import Command
from .exceptions import DataFrameParseException, BadUserDataException


class SQLQuery(ObjectWithGuid):
    def __init__(self, query, samplemethod=None, maxrows=None, samplefraction=None, spark_events=None):
        super(SQLQuery, self).__init__()
        
        if samplemethod is None:
            samplemethod = conf.default_samplemethod()
        if maxrows is None:
            maxrows = conf.default_maxrows()
        if samplefraction is None:
            samplefraction = conf.default_samplefraction()

        if samplemethod not in {u'take', u'sample'}:
            raise BadUserDataException(u'samplemethod (-m) must be one of (take, sample)')
        if not isinstance(maxrows, int):
            raise BadUserDataException(u'maxrows (-n) must be an integer')
        if not 0.0 <= samplefraction <= 1.0:
            raise BadUserDataException(u'samplefraction (-r) must be a float between 0.0 and 1.0')