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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 _remove_previous_ned_queries( self, coordinateList):
 """iterate through the transient locations to see if we have recent local NED coverage of that area already **Key Arguments:** - ``coordinateList`` -- set of coordinate to check for previous queries **Return:** - ``updatedCoordinateList`` -- coordinate list with previous queries removed .. todo :: - update key arguments values and definitions with defaults - update return values and definitions - update usage examples and text - update docstring text - check sublime snippet exists - clip any useful text to docs mindmap - regenerate the docs and check redendering of this docstring """

        self.log.debug('starting the ``_remove_previous_ned_queries`` method')

        # 1 DEGREE QUERY RADIUS
        radius = 60. * 60.
        updatedCoordinateList = []
        keepers = []

        # CALCULATE THE OLDEST RESULTS LIMIT
        now = datetime.now()
        td = timedelta(
            days=self.settings["ned stream refresh rate in days"])
        refreshLimit = now - td
        refreshLimit = refreshLimit.strftime("%Y-%m-%d %H:%M:%S")

        raList = []
        raList[:] = [c[0] for c in coordinateList]
        decList = []
        decList[:] = [c[1] for c in coordinateList]

        # MATCH COORDINATES AGAINST PREVIOUS NED SEARCHES
        cs = conesearch(
            log=self.log,
            dbConn=self.cataloguesDbConn,
            tableName="tcs_helper_ned_query_history",
            columns="*",
            ra=raList,
            dec=decList,
            radiusArcsec=radius,
            separations=True,
            distinct=True,
            sqlWhere="dateQueried > '%(refreshLimit)s'" % locals(),
            closest=False
        )
        matchIndies, matches = cs.search()

        # DETERMINE WHICH COORDINATES REQUIRE A NED QUERY
        curatedMatchIndices = []
        curatedMatches = []
        for i, m in zip(matchIndies, matches.list):
            match = False
            row = m
            row["separationArcsec"] = row["cmSepArcsec"]
            raStream = row["raDeg"]
            decStream = row["decDeg"]
            radiusStream = row["arcsecRadius"]
            dateStream = row["dateQueried"]
            angularSeparation = row["separationArcsec"]

            if angularSeparation + self.settings["first pass ned search radius arcec"] < radiusStream:
                curatedMatchIndices.append(i)
                curatedMatches.append(m)

        # NON MATCHES
        for i, v in enumerate(coordinateList):
            if i not in curatedMatchIndices:
                updatedCoordinateList.append(v)

        self.log.debug('completed the ``_remove_previous_ned_queries`` method')
        return updatedCoordinateList