original_docstring: 
      Fetch probable coordinates from openstreetmap or openaddresses.io data using
      the structured search terms.
  
      The results will be sorted by distance to center coordinate, if there is no center
      coordinate the results will be sorted by trigram similarity.
  
      This is a generator that returns an iterator of dict instances with the following
      keys: house, road, house_number, postcode, city, country, location, trgm_dist, dist
  
      Not all keys have to be filled at all times.
  
      :param geocoder: geocoder instance
      :param road: optional, user input
      :param house_number: optional, user input
      :param postcode: optional, user input
      :param city: optional, user input
      :param country: if set the query will be limited to this country
      :param center: center coordinate used for distance sorting
      :param radius: max search radius around the center coordinate
      :param limit: maximum number of results to return
      
docstring: Fetch probable coordinates from openstreetmap or openaddresses.io data using
  the structured search terms.
  
  The results will be sorted by distance to center coordinate, if there is no center
  coordinate the results will be sorted by trigram similarity.
  
  This is a generator that returns an iterator of dict instances with the following
  keys: house, road, house_number, postcode, city, country, location, trgm_dist, dist
  
  Not all keys have to be filled at all times.
docstring_tokens: Fetch probable coordinates from openstreetmap or openaddresses . io data using the structured search terms . The results will be sorted by distance to center coordinate if there is no center coordinate the results will be sorted by trigram similarity . This is a generator that returns an iterator of dict instances with the following keys : house road house_number postcode city country location trgm_dist dist Not all keys have to be filled at all times .
code: def fetch_coordinate_struct(geocoder, road=None, house_number=None, postcode=None, city=None, country=None, center=None, radius=20000, limit=20):
      """
      Fetch probable coordinates from openstreetmap or openaddresses.io data using
      the structured search terms.
  
      The results will be sorted by distance to center coordinate, if there is no center
      coordinate the results will be sorted by trigram similarity.
  
      This is a generator that returns an iterator of dict instances with the following
      keys: house, road, house_number, postcode, city, country, location, trgm_dist, dist
  
      Not all keys have to be filled at all times.
  
      :param geocoder: geocoder instance
      :param road: optional, user input
      :param house_number: optional, user input
      :param postcode: optional, user input
      :param city: optional, user input
      :param country: if set the query will be limited to this country
      :param center: center coordinate used for distance sorting
      :param radius: max search radius around the center coordinate
      :param limit: maximum number of results to return
      """
  
      query = '''
          SELECT * FROM geocode_{typ}(
              %(road)s,
              %(house_number)s,
              %(postcode)s,
              %(city)s,
              %(limit)s,
              ST_Transform(
                  ST_SetSRID(
                      ST_MakePoint(%(lon)s, %(lat)s),
                      4326
                  ),
                  3857
              ),
              %(radius)s,
              %(country)s
          ) LIMIT %(limit)s;
      '''
  
      cursor = geocoder.db.cursor(cursor_factory=RealDictCursor)
  
      for typ in ['osm']:  # TODO: Implement for openaddresses.io
          q = query.format(typ=typ)
          cursor.execute(q, {
              'lat': center[0] if center is not None else None,
              'lon': center[1] if center is not None else None,
              'radius': radius,
              'limit': limit,
              'country': country,
              'road': road,
              'house_number': house_number,
              'postcode': postcode,
              'city': city
          })
  
          if cursor.rowcount > 0:
              break
  
      for result in cursor:
          yield result
code_tokens: def fetch_coordinate_struct ( geocoder , road = None , house_number = None , postcode = None , city = None , country = None , center = None , radius = 20000 , limit = 20 ) : query = '''
          SELECT * FROM geocode_{typ}(
              %(road)s,
              %(house_number)s,
              %(postcode)s,
              %(city)s,
              %(limit)s,
              ST_Transform(
                  ST_SetSRID(
                      ST_MakePoint(%(lon)s, %(lat)s),
                      4326
                  ),
                  3857
              ),
              %(radius)s,
              %(country)s
          ) LIMIT %(limit)s;
      ''' cursor = geocoder . db . cursor ( cursor_factory = RealDictCursor ) for typ in [ 'osm' ] : q = query . format ( typ = typ ) cursor . execute ( q , { 'lat' : center [ 0 ] if center is not None else None , 'lon' : center [ 1 ] if center is not None else None , 'radius' : radius , 'limit' : limit , 'country' : country , 'road' : road , 'house_number' : house_number , 'postcode' : postcode , 'city' : city } ) if cursor . rowcount > 0 : break for result in cursor : yield result
short_docstring: Fetch probable coordinates from openstreetmap or openaddresses.io data using
  the structured search terms.
short_docstring_tokens: Fetch probable coordinates from openstreetmap or openaddresses . io data using the structured search terms .
comment: """
      Fetch probable coordinates from openstreetmap or openaddresses.io data using
      the structured search terms.
  
      The results will be sorted by distance to center coordinate, if there is no center
      coordinate the results will be sorted by trigram similarity.
  
      This is a generator that returns an iterator of dict instances with the following
      keys: house, road, house_number, postcode, city, country, location, trgm_dist, dist
  
      Not all keys have to be filled at all times.
  
      :param geocoder: geocoder instance
      :param road: optional, user input
      :param house_number: optional, user input
      :param postcode: optional, user input
      :param city: optional, user input
      :param country: if set the query will be limited to this country
      :param center: center coordinate used for distance sorting
      :param radius: max search radius around the center coordinate
      :param limit: maximum number of results to return
      """$SEP$# TODO: Implement for openaddresses.io