def _run_search(self, queries):
        """Return items from the data file matching any item in queries."""
        if queries is not None:
            queries = set(queries)
            # Don't do anything if an empty set is provided
            if not queries:
                return

        # Open the compressed database, either copied version or original file.
        if self.dbfile:
            fileobj = ChunkedFile(self.dbfile, self.listname, mode='r')
        else:
            assert(len(self.origfiles) == 1)
            try:
                fileobj = open_compressed(self.origfiles[0])
            except IOError as e:
                print "Skipping %s: %s" % (self.origfiles[0], e.strerror)
                return
            self._skip_header(fileobj)
        if self.debug:
            print "Reading %s..." % self.listname

        # Locate seek positions for all queries
        if queries and self.indexname:  # Use index
            locs = list(_find_seeks_index(self.dbfile, self.indexname, queries,
                                          debug=self.debug))
        elif queries:                   # Use bookmarks
            locs = list(_find_seeks_bookmarks(fileobj, queries,
                                              debug=self.debug))
        else:
            locs = [(None, None, 1)]     # Dummy values to start loop

        # Read selected lines from the file
        timer = Timer()
        loc = 0
        for startloc, endloc, nresults in locs:
            # Skip to the correct position in the file
            if queries:
                if startloc > loc:
                    #print "  Seek to", startloc
                    fileobj.seek(startloc)
                    loc = fileobj.tell()
                elif startloc < loc:
                    #print "  Skipping", startloc, "already at", loc
                    continue
                #else:
                #    print "  Skipping", startloc, "already there"
                #print "    Finish at", endloc, "after", nresults, "results"
            for _ in xrange(nresults):
                # Parse the file until we get a result
                for i, line in enumerate(fileobj):
                    # Determine if we have reached the end location for this
                    # section
                    if endloc and loc not in endloc:
                        break
                    #assert(not endloc or loc < endloc)

                    # Do not index video games or individual TV episodes
                    # (Not applicable for all file types)
                    if not self.dbfile and self.skip_tvvg and \
                            ('(VG)' in line or '{' in line):
                        #loc = fileobj.tell() # Don't seek/tell in gzip
                        continue
                    # Decode database (IMDb databases use ISO-8859-1)
                    line = line.rstrip().decode('iso-8859-1')

                    if queries and i % 100 == 0:
                        timer.step()

                    data = self._parse_line(line, loc)
                    if self.dbfile:
                        loc = fileobj.tell()

                    if data is None:
                        break           # End of database
                    if not data:
                        continue        # Skip this line

                    # Check if one of our queries matches
                    if queries is None or data[0] in queries:
                        yield self._make_result(data)
                        if queries is not None:
                            # queries.remove(data[0])
                            break

        if self.debug:
            print 'Completed in', timer, 'seconds.'
        fileobj.close()
dataset/ETHPy150Open nandhp/python-imdb/imdb/parsers.py/_IMDbParser._run_search/operator `==` -> `not in`