Use copy of search data in redis thread

import threading

import redis

import pickle

import copy

from searx import settings

from searx.query import SearchQuery

        conn.set(key, pickle.dumps(d, protocol=4))

    def save(self, d):

        data = copy.deepcopy(d)

        threading.Thread(

            target=self._save,

            args=(d,),

            name='save_search_' + str(d)

            args=(data,),

            name='save_search_' + str(data)

        ).start()

    def get_twenty_queries(self, x):

import json

import os

import time

import copy

import requests

        else:

            return index_error(e, output), 500

    results_copy = copy.deepcopy(search_data.results)

    if is_general_first_page:

        images = [r for r in results_copy if r.get('category') == 'images'][:5]

        videos = [r for r in results_copy if r.get('category') == 'videos'][:2]

        for res in search_data.results:

        images = [r for r in search_data.results if r.get('category') == 'images'][:5]

        videos = [r for r in search_data.results if r.get('category') == 'videos'][:2]

        for res in list(search_data.results):

            if res.get('category') != 'general':

                results_copy.remove(res)

                search_data.results.remove(res)

    # output

    config_results(results_copy, search_data.query)

    config_results(search_data.results, search_data.query)

    config_results(images, search_data.query)

    config_results(videos, search_data.query)

    response = dict(

        results=results_copy,

        results=search_data.results,

        q=search_data.query,

        selected_category=selected_category,

        selected_categories=[selected_category],