{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":21029,"offset":21019,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"\u0414\u0430, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a ZeroMQ, \u0442\u0430\u043a \u0438 RabbitMQ \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0438 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u043e\u0431\u044b\u0447\u043d\u044b\u0435 \u0441\u043e\u043a\u0435\u0442\u044b. \u041e\u0431\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430 \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u044e\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0449\u0438\u0445 \u043d\u0430 \"\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0445\" \u0441\u043e\u043a\u0435\u0442\u0430\u0445, \u0438 \u043e\u0431\u043c\u0435\u043d\u0438\u0432\u0430\u0442\u044c\u0441\u044f \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438.\n\n\u0412 \u0441\u043b\u0443\u0447\u0430\u0435 ZeroMQ \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b \u0441\u043e\u043a\u0435\u0442\u043e\u0432 `ZMQ_STREAM`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u043a\u0435\u0442\u044b TCP \u0441 \u0432\u043d\u0443\u0442\u0440\u0435\u043d\u043d\u0438\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438 ZeroMQ. \u042d\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0430\u043c \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u043c\u0435\u0436\u0434\u0443 ZeroMQ \u0438 \u043e\u0431\u0449\u0438\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438. \u041a\u043b\u0438\u0435\u043d\u0442, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 \u043e\u0431\u044b\u0447\u043d\u044b\u0435 \u0441\u043e\u043a\u0435\u0442\u044b, \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u043e\u0441\u0442\u043e \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0438\u0442\u044c\u0441\u044f \u043a \u0441\u0435\u0440\u0432\u0435\u0440\u0443 ZeroMQ, \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0449\u0435\u043c\u0443 \u0432 \u0440\u0435\u0436\u0438\u043c\u0435 `ZMQ_STREAM`, \u0438 \u043e\u0431\u043c\u0435\u043d\u0438\u0432\u0430\u0442\u044c\u0441\u044f \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0447\u0435\u0440\u0435\u0437 TCP-\u0441\u043e\u043a\u0435\u0442\u044b.\n\n\u0412 RabbitMQ \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u043c \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u043e\u043c \u0434\u043b\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u043c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u044b\u0447\u043d\u044b\u0439 \u0441\u043e\u043a\u0435\u0442, \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b\u0430 AMQP \u0434\u043b\u044f \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438. RabbitMQ \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0443 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b\u0430 AMQP \u0438 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438 \u0441 \u043e\u0431\u044b\u0447\u043d\u044b\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u043c\u0438 \u044d\u0442\u043e\u0442 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b.\n\n\u041e\u0434\u043d\u0430\u043a\u043e \u0441\u0442\u043e\u0438\u0442 \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c, \u0447\u0442\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a ZeroMQ \u0438 RabbitMQ, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u0433\u0438\u0431\u043a\u0438\u0435 \u0438 \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438 \u0432 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u0435. \u041f\u043e\u044d\u0442\u043e\u043c\u0443, \u0435\u0441\u043b\u0438 \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u044b\u0435 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u043e\u043c \u044d\u0442\u0438\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u0442\u0430\u043a \u043a\u0430\u043a \u043e\u043d\u0438 \u043e\u0431\u044b\u0447\u043d\u043e \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0438 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0434\u043b\u044f \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438.","behavior":"degenerate_repetition","conversation_hash":"56b9ba54905434aa26d81857fd97a954","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-3.5-turbo-0613","n_chars":1481,"n_turns_in_conversation":6,"n_words":184,"source_row_offset":21019,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:33:43 GMT","turn_id":"b6727383782e5eff22f05257","turn_index":3,"user_text":"\u041c\u043e\u0436\u043d\u043e \u043b\u0438 \u043a\u0430\u043a\u043e\u0439-\u0442\u043e \u0438\u0437 \u044d\u0442\u0438\u0445 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u0430, \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u043e\u0431\u044b\u0447\u043d\u044b\u0439 \u0441\u043e\u043a\u0435\u0442?"},{"assistant_initiates":false,"asst_text":"\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u043d\u0430 \u0441\u043e\u043a\u0435\u0442\u0430\u0445 Python \u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0431\u0440\u043e\u043a\u0435\u0440\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 RabbitMQ \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439 \u0432 \u043a\u043e\u0434\u0435. \u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440, \u043a\u0430\u043a \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u043f\u0435\u0440\u0435\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0439 \u0441\u043a\u0440\u0438\u043f\u0442 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0441 RabbitMQ \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 `pika`:\n\n```python\nimport json\nimport pika\n\nHOST = 'localhost'\nQUEUE_NAME = 'data_queue'\n\ndef handle_message(channel, method, properties, body):\n    data = json.loads(body.decode('utf-8'))\n    print(f'Received: {data[\"A\"]}')\n    response = {'message': f'Processed: {data[\"A\"]}'}\n    channel.basic_publish(\n        exchange='',\n        routing_key=properties.reply_to,\n        properties=pika.BasicProperties(correlation_id=properties.correlation_id),\n        body=json.dumps(response)\n    )\n\ndef main():\n    connection = pika.BlockingConnection(pika.ConnectionParameters(host=HOST))\n    channel = connection.channel()\n    channel.queue_declare(queue=QUEUE_NAME)\n\n    channel.basic_consume(queue=QUEUE_NAME, on_message_callback=handle_message, auto_ack=True)\n\n    print('Server running...')\n    channel.start_consuming()\n\nif __name__ == '__main__':\n    main()\n```\n\n\u0412 \u044d\u0442\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 `pika` \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u043a RabbitMQ \u0438 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 \u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 `handle_message`. \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u0434\u0435\u043a\u043e\u0434\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0438\u0437 JSON \u0438 \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u043d\u0430 \u044d\u043a\u0440\u0430\u043d. \u0417\u0430\u0442\u0435\u043c \u043c\u044b \u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c \u043e\u0442\u0432\u0435\u0442\u043d\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u043c \u043e\u0431\u0440\u0430\u0442\u043d\u043e \u043a\u043b\u0438\u0435\u043d\u0442\u0443 \u0447\u0435\u0440\u0435\u0437 exchange \u0438 routing key \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0435 \u0432 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u0445 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f.\n\n\u041d\u0435 \u0437\u0430\u0431\u0443\u0434\u044c\u0442\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 `pika`, \u0435\u0441\u043b\u0438 \u0432\u044b \u0435\u0449\u0435 \u043d\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u0438 \u0435\u0435:\n\n```\npip install pika\n```\n\n\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0434\u043b\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 RabbitMQ \u0432\u0430\u043c \u043f\u043e\u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0438\u043c\u0435\u0442\u044c RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u0437\u0430\u043f\u0443\u0449\u0435\u043d, \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u0438\u0435 \u0441\u043a\u0440\u0438\u043f\u0442\u044b \u043d\u0430 \u0434\u0440\u0443\u0433\u0438\u0445 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u0445 \u0434\u043e\u043b\u0436\u043d\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438, \u0447\u0442\u043e\u0431\u044b \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u0438 \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u044c \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0447\u0435\u0440\u0435\u0437 RabbitMQ.","behavior":"degenerate_repetition","conversation_hash":"56b9ba54905434aa26d81857fd97a954","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-3.5-turbo-0613","n_chars":2856,"n_turns_in_conversation":6,"n_words":268,"source_row_offset":21020,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:33:43 GMT","turn_id":"adfcb49354bf128864d9d8e1","turn_index":4,"user_text":"\u041c\u043e\u0436\u0435\u0448\u044c \u043f\u0435\u0440\u0435\u043f\u0438\u0441\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u043f\u043e\u0434 RabbitMQ, \u0447\u0442\u043e\u0431\u044b \u043e\u043d \u0440\u0430\u0431\u043e\u0442\u0430\u043b \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u043e \u0441 \u0434\u0432\u0443\u0445 \u0440\u0430\u0437\u043d\u044b\u0445 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043e\u0432\n```\nimport socket\nimport threading \nimport json\n\nHOST = '127.0.0.1'\nPORT = 7800\n\nclients = []\n\ns = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\ns.bind((HOST, PORT))\n\ndef handle_client(conn, addr):\n    print(f'Connected: {addr}')\n    clients.append(conn)\n    \n    while True:\n        try:\n            data = conn.recv(1024)\n            data = data.decode('utf-8')\n            data = json.loads(data)\n        except:\n            break\n        if not data:\n            break\n        print(f'Received: {data[\"A\"]}')\n        send_to_client(conn, f'Processed: {data[\"A\"]}')\n        \n    conn.close()\n    clients.remove(conn)\n    print(f'Disconnected: {addr}')\n    \ndef send_to_client(conn, data):\n    json_data = json.dumps(data)\n    conn.send(json_data.encode('utf-8'))\n\ndef start():\n    s.listen(5)\n    print('Server running...')\n    while True:\n        conn, addr = s.accept()\n        threading.Thread(target=handle_client, args=(conn, addr)).start()\n\nstart()\n\n```"},{"assistant_initiates":false,"asst_text":"\u041e\u0448\u0438\u0431\u043a\u0430 `AMQPConnectionError` \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0441 RabbitMQ \u043d\u0435 \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c. \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0432\u044b\u0437\u0432\u0430\u043d\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u0447\u0438\u043d\u0430\u043c\u0438:\n\n1. RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0435 \u0437\u0430\u043f\u0443\u0449\u0435\u043d: \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u0437\u0430\u043f\u0443\u0449\u0435\u043d \u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u043f\u043e \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u043c\u0443 \u0445\u043e\u0441\u0442\u0443 (`localhost` \u0432 \u0434\u0430\u043d\u043d\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0435).\n\n2. \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u0443\u043a\u0430\u0437\u0430\u043d \u0445\u043e\u0441\u0442 (host) \u0438\u043b\u0438 \u043f\u043e\u0440\u0442 (port): \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0445\u043e\u0441\u0442 \u0438 \u043f\u043e\u0440\u0442, \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0435 \u0432 `pika.ConnectionParameters`, \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0442 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430\u043c RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440\u0430. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e, RabbitMQ \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043d\u0430 \u043f\u043e\u0440\u0442\u0443 5672.\n\n3. RabbitMQ \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438: \u0415\u0441\u043b\u0438 \u0432\u0430\u0448 \u0441\u0435\u0440\u0432\u0435\u0440 RabbitMQ \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d \u043d\u0430 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0435 \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438, \u0443\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0432\u044b \u0443\u043a\u0430\u0437\u0430\u043b\u0438 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 (\u043b\u043e\u0433\u0438\u043d \u0438 \u043f\u0430\u0440\u043e\u043b\u044c) \u0432 `pika.ConnectionParameters`.\n\n4. \u0411\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0430 \u0444\u0430\u0435\u0440\u0432\u043e\u043b\u043e\u043c \u0438\u043b\u0438 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0441\u0435\u0442\u0435\u0432\u044b\u043c\u0438 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u044f\u043c\u0438: \u041f\u0440\u043e\u0432\u0435\u0440\u044c\u0442\u0435, \u043d\u0435\u0442 \u043b\u0438 \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0438 \u043f\u043e\u0440\u0442\u0430, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 RabbitMQ, \u0444\u0430\u0435\u0440\u0432\u043e\u043b\u043e\u043c \u0438\u043b\u0438 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0441\u0435\u0442\u0435\u0432\u044b\u043c\u0438 \u043f\u0440\u0430\u0432\u0438\u043b\u0430\u043c\u0438 \u043d\u0430 \u0432\u0430\u0448\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435 \u0438\u043b\u0438 \u0432 \u0441\u0435\u0442\u0438.\n\n5.","behavior":"degenerate_repetition","conversation_hash":"56b9ba54905434aa26d81857fd97a954","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-3.5-turbo-0613","n_chars":1598,"n_turns_in_conversation":6,"n_words":154,"source_row_offset":21021,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:33:43 GMT","turn_id":"ee7ff73fa75fcffaeb8bc986","turn_index":5,"user_text":"Traceback (most recent call last):\n  File \"K:\\Files\\sc_temp\\serverRabbitMQ.py\", line 29, in <module>\n    main()\n  File \"K:\\Files\\sc_temp\\serverRabbitMQ.py\", line 19, in main\n    connection = pika.BlockingConnection(pika.ConnectionParameters(host=HOST))\n  File \"C:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pika\\adapters\\blocking_connection.py\", line 360, in __init__\n    self._impl = self._create_connection(parameters, _impl_class)\n  File \"C:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pika\\adapters\\blocking_connection.py\", line 451, in _create_connection\n    raise self._reap_last_connection_workflow_error(error)\npika.exceptions.AMQPConnectionError"},{"assistant_initiates":false,"asst_text":"A. Run length code:\n\nIntroduction:\nRun length code is a lossless image compression technique that is commonly used to reduce the size of images by encoding consecutive repeated pixels as a single value. This compression algorithm works well for images that contain long sequences of identical or similar pixels. It is particularly effective for images with large areas of uniform color.\n\nExample:\nConsider an image with a horizontal row of pixels where the first 10 pixels are black and the next 15 pixels are white. In its uncompressed form, this row would be represented as 10 consecutive black pixels followed by 15 consecutive white pixels.\n\nUsing run length code, this row can be compressed by representing the consecutive repetitions of each color with a count and a color value. In this case, the compressed version of the row would be \"10B, 15W\" where \"10B\" represents 10 black pixels and \"15W\" represents 15 white pixels.\n\nConclusion:\nRun length code is a simple and efficient technique for compressing images that contain long sequences of repeated pixels. It can significantly reduce the size of an image by encoding repeated patterns with run length pairs, thereby eliminating unnecessary redundancy of pixel data.\n\nB. Arithmetic coding:\n\nIntroduction:\nArithmetic coding is a lossless image compression technique that assigns shorter codes to frequently occurring patterns and longer codes to less frequent ones. This compression algorithm works by converting a sequence of symbols into a single fraction within the range [0,1] using probability modeling.\n\nExample:\nConsider an image with a 4x4 block of pixels where the top-left pixel is black, the adjacent pixels on the top row are white, and the remaining pixels in the block are blue. In its uncompressed form, this block would be represented by the colors of each individual pixel.\n\nUsing arithmetic coding, the probabilities of different colors occurring in the block can be calculated. Let's assume the probabilities of black, white, and blue are 0.1, 0.4, and 0.5 respectively. The arithmetic coding algorithm will then assign shorter codes to more probable colors. After encoding, the compressed version of the block would be a fraction within [0,1] that represents the probabilities of each color occurrence.\n\nConclusion:\nArithmetic coding is a powerful image compression technique that can significantly reduce the size of an image by assigning shorter codes to frequently occurring patterns. It uses probability modeling to accurately represent the original image and provide an efficient representation of the data.\n\nC. Golomb:\n\nIntroduction:\nGolomb coding is a lossless image compression technique that is particularly suited for compressing images with repetitive patterns. It employs variable-length codes, where the codeword length is determined by the expected frequency of each symbol.\n\nExample:\nConsider an image with a 3x3 block of pixels where the top row and the left column contain black pixels, while the remaining pixels are white. In its uncompressed form, this block would be represented by the colors of each individual pixel.\n\nUsing Golomb coding, repetitive patterns can be efficiently encoded. In this case, the expected frequency of black and white pixels is known. The Golomb coding algorithm will assign shorter codewords to more frequent symbols. After encoding, the compressed version of the block would consist of the variable-length codes assigned to each symbol.\n\nConclusion:\nGolomb coding is a lossless image compression technique that effectively reduces the size of an image by efficiently encoding repetitive patterns. It uses variable-length codes based on the expected frequency of each symbol, allowing for efficient representation and decoding of the original image data.\n\nD. LW2:\n\nIntroduction:\nLW2 (Lightweight Lossless) is a powerful image compression algorithm specifically designed for compressing grayscale and color images. It employs a combination of predictive models and entropy coding to achieve lossless compression while maintaining high image quality.\n\nExample:\nConsider a grayscale image consisting of various shades of gray ranging from black to white. In its uncompressed form, each pixel would be represented by its intensity value.\n\nUsing LW2 compression, the algorithm first applies predictive models to estimate the intensity value of each pixel based on its neighboring pixels. This prediction helps in reducing the redundancy present in the image data. After prediction, the algorithm employs entropy coding techniques (such as Huffman coding or arithmetic coding) to encode the predicted values into a compressed representation.\n\nConclusion:\nLW2 is a lossless image compression algorithm that effectively reduces the size of grayscale and color images while preserving the image quality. By utilizing predictive models and entropy coding techniques, LW2 achieves efficient compression by eliminating redundancy in the image data.","behavior":"degenerate_repetition","conversation_hash":"f2ca5caa06381a4113e5dd51b752d31e","conversation_redacted":false,"conversation_toxic":false,"country":"Ethiopia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":5146,"n_turns_in_conversation":1,"n_words":780,"source_row_offset":21022,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:35:01 GMT","turn_id":"a293882f11abc6279ae0a002","turn_index":0,"user_text":"Describe in detail the following lossless image compression With example .\nA. Run length code\nB. Arithmetic coding \nC. Golomb\nD. LW2\n\nEach topics have an introduction and conclusion"},{"assistant_initiates":false,"asst_text":"/imagine prompt: A breathtaking sunset over the ocean, with vibrant orange and pink hues illuminating the sky, casting a golden glow over the water, ultra high res, Drawing, Panorama, front view, Natural Lighting, mature female, black hair, long hair, waves crashing against the shore in the foreground, creating a sense of movement, a lone seagull soaring through the air, captured with a Canon 5D Mark IV camera, 24-70mm lens, wide-angle composition capturing the vastness of the scene, portraying a serene and peaceful atmosphere. --ar 16:9 --v 5\n\n/imagine prompt: An enchanted forest filled with towering trees, their branches entwined to create a magical canopy, sunlight filtering through the leaves, illuminating patches of moss-covered ground, Drawing, Panorama, front view, Natural Lighting, mature female, black hair, long hair, a gentle breeze rustling the leaves, birds chirping in the distance, captured with a Pentax K-1 camera, 50mm lens, composition focused on the character walking along a winding path, creating a sense of mystery and intrigue, in a style reminiscent of traditional Japanese ink paintings. --ar 9:16 --v 5.2\n\n/imagine prompt: An architectural masterpiece, a futuristic city skyline with sleek skyscrapers reaching towards the sky, their mirrored surfaces reflecting the surrounding lights, ultra high res, Drawing, Panorama, front view, Natural Lighting, mature female, black hair, long hair, a bustling street below, filled with futuristic vehicles and pedestrians, creating a sense of energy and motion, captured with a Sony A7R IV camera, 70-200mm lens, telephoto composition emphasizing the cityscape's grandeur and scale, in a style reminiscent of architectural photography. --ar 16:9 --v 5\n\n/imagine prompt: A serene mountain landscape, with snow-capped peaks towering above lush green valleys, ultra high res, Drawing, Panorama, front view, Natural Lighting, mature female, black hair, long hair, a crystal-clear lake nestled at the base of the mountains, reflecting the majestic scenery, a peaceful waterfall cascading down the rocky cliffs, captured with a Fujifilm GFX 100 camera, 14mm lens, wide-angle composition highlighting the vastness and tranquility of the scene, in a style reminiscent of landscape paintings by Albert Bierstadt. --ar 16:9 --v 5.","behavior":"degenerate_repetition","conversation_hash":"3eb02855b36cc0117804a36884f981af","conversation_redacted":false,"conversation_toxic":false,"country":"China","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":6182,"n_turns_in_conversation":1,"n_words":799,"source_row_offset":21023,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:36:24 GMT","turn_id":"126ad13c8bbf199da2b91910","turn_index":0,"user_text":"\n                            As a prompt generator for a generative AI called \"Midjourney\", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image.\n                            \n                            Please adhere to the structure and formatting below, and follow these guidelines:\n                            \n                            Do not use the words \"description\" or \":\" in any form.\n                            Do not place a comma between [ar] and [v].\n                            Write each prompt in one line without using return.\n                            Structure:\n                            [1] = ultra\u00a0high\u00a0res,Drawing,Panorama,front\u00a0view,Natural\u00a0Lighting,mature\u00a0female,black\u00a0hair,long\u00a0hair\n                            [2] = a detailed description of [1] with specific imagery details.\n                            [3] = a detailed description of the scene's environment.\n                            [4] = a detailed description of the compositions.\n                            [5] = a detailed description of the scene's mood, feelings, and atmosphere.\n                            [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1].\n                            [7] =  a detailed description of the scene's mood, feelings, and atmosphere.\n                            [ar] = Use \"--ar 16:9\" for horizontal images, \"--ar 9:16\" for vertical images, or \"--ar 1:1\" for square images.\n                            [v] = Use \"--niji\" for Japanese art style, or \"--v 5\" for other styles.\n                            \n                            \n                            Formatting:\n                            Follow this prompt structure: \"/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]\".\n                            \n                            Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization.\n                            \n                            Write your prompts in english.\n                            Do not describe unreal concepts as \"real\" or \"photographic\".\n                            Include one realistic photographic style prompt with lens type and size.\n                            Separate different prompts with two new lines.\n                            Example Prompts:\n                            \n                            /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2\n                            /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2\n                            /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5\n                                                        "},{"assistant_initiates":false,"asst_text":"\u0418\u0437\u0432\u0438\u043d\u0438\u0442\u0435 \u0437\u0430 \u043f\u0443\u0442\u0430\u043d\u0438\u0446\u0443! \u041e\u0448\u0438\u0431\u043a\u0430, \u043a\u043e\u0442\u043e\u0440\u0443\u044e \u0432\u044b \u0432\u0438\u0434\u0438\u0442\u0435 (AMQPConnectionError), \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0443 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f \u0441 RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440\u043e\u043c. \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u043f\u0440\u0438\u0447\u0438\u043d\u044b \u044d\u0442\u043e\u0439 \u043e\u0448\u0438\u0431\u043a\u0438 \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c\u0438:\n\n1. RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0435 \u0437\u0430\u043f","behavior":"degenerate_repetition","conversation_hash":"4b7d999f71f2cfb3f950bd7841633c3f","conversation_redacted":false,"conversation_toxic":false,"country":"Russia","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"Russian","model":"gpt-3.5-turbo-0613","n_chars":11688,"n_turns_in_conversation":1,"n_words":1347,"source_row_offset":21024,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:36:27 GMT","turn_id":"431906fe7466db3c3919604e","turn_index":0,"user_text":"\u041f\u0440\u0438\u0432\u0435\u0442. \u041a\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u043d\u0430 \u043f\u0438\u0442\u043e\u043d\u0435 \u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0442\u044c \u043a\u0430\u043a\u0438\u0435-\u0442\u043e \u0434\u0430\u043d\u043d\u044b\u0435 \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438 \u043f\u043e \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438?\n\u041f\u0440\u0438\u0432\u0435\u0442! \u0415\u0441\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438 \u043f\u043e \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Python. \u0420\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c \u0434\u0432\u0430 \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u0430: \u0441\u043e\u043a\u0435\u0442\u044b \u0438 HTTP.\n\n1. \u0421\u043e\u043a\u0435\u0442\u044b:\n\u0421 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043c\u043e\u0434\u0443\u043b\u044f socket, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u043e\u043a\u0435\u0442 \u0438 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u043c\u0435\u0436\u0434\u0443 \u0434\u0432\u0443\u043c\u044f \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438. \u041e\u0434\u0438\u043d \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440 \u0432\u044b\u0441\u0442\u0443\u043f\u0430\u0435\u0442 \u0432 \u0440\u043e\u043b\u0438 \u0441\u0435\u0440\u0432\u0435\u0440\u0430, \u0430 \u0434\u0440\u0443\u0433\u043e\u0439 - \u0432 \u0440\u043e\u043b\u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430. \u041a\u043b\u0438\u0435\u043d\u0442 \u043c\u043e\u0436\u0435\u0442 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043c\u043e\u0436\u0435\u0442 \u0438\u0445 \u043f\u0440\u0438\u043d\u0438\u043c\u0430\u0442\u044c \u0438 \u043e\u0431\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c. \u041d\u0438\u0436\u0435 \u043f\u0440\u0438\u0432\u0435\u0434\u0435\u043d \u043f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u043e\u0441\u0442\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u043e\u0433\u0443\u0442 \u043e\u0431\u043c\u0435\u043d\u0438\u0432\u0430\u0442\u044c\u0441\u044f \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u043f\u043e \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438:\n\n# \u0421\u0435\u0440\u0432\u0435\u0440\nimport socket\n\nHOST = \u20180.0.0.0\u2019  # IP-\u0430\u0434\u0440\u0435\u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\nPORT = 1234      # \u041f\u043e\u0440\u0442 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\n\nwith socket.socket(socket.AF_INET, socket.SOCK_STREAM) as server:\n    server.bind((HOST, PORT))\n    server.listen(1)\n    conn, address = server.accept()\n\n    with conn:\n        print(\u2018\u041f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435 \u043e\u0442:\u2019, address)\n        \n        while True:\n            data = conn.recv(1024)\n            if not data:\n                break\n            print(\u2018\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043e:\u2019, data.decode())\n            conn.sendall(b\u2019\u0421\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043e\u2019)\n\n\n# \u041a\u043b\u0438\u0435\u043d\u0442\nimport socket\n\nHOST = \u2018192.168.0.100\u2019  # IP-\u0430\u0434\u0440\u0435\u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\nPORT = 1234            # \u041f\u043e\u0440\u0442 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\n\nwith socket.socket(socket.AF_INET, socket.SOCK_STREAM) as client:\n    client.connect((HOST, PORT))\n    client.sendall(b\u2019\u041f\u0440\u0438\u0432\u0435\u0442, \u0441\u0435\u0440\u0432\u0435\u0440!')\n    data = client.recv(1024)\n\nprint(\u2018\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043e \u043e\u0442 \u0441\u0435\u0440\u0432\u0435\u0440\u0430:\u2019, data.decode())\n\n\n2. HTTP:\n\u0412\u044b \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b HTTP \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438. \u0421\u0435\u0440\u0432\u0435\u0440 \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435, \u0430 \u043a\u043b\u0438\u0435\u043d\u0442 \u043e\u0431\u0440\u0430\u0449\u0430\u0435\u0442\u0441\u044f \u043a \u0441\u0435\u0440\u0432\u0435\u0440\u0443 \u0447\u0435\u0440\u0435\u0437 HTTP-\u0437\u0430\u043f\u0440\u043e\u0441\u044b. \u041d\u0438\u0436\u0435 \u043f\u0440\u0438\u043c\u0435\u0440 \u043f\u0440\u043e\u0441\u0442\u043e\u0433\u043e \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0430, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u043c\u043e\u0434\u0443\u043b\u044c http.server \u0432 Python 3:\n\n# \u0421\u0435\u0440\u0432\u0435\u0440\nimport http.server\nimport socketserver\n\nHOST = \u20180.0.0.0\u2019  # IP-\u0430\u0434\u0440\u0435\u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\nPORT = 8000       # \u041f\u043e\u0440\u0442 \u0441\u0435\u0440\u0432\u0435\u0440\u0430\n\nHandler = http.server.SimpleHTTPRequestHandler\n\nwith socketserver.TCPServer((HOST, PORT), Handler) as server:\n    print(\u2018\u0421\u0435\u0440\u0432\u0435\u0440 \u0437\u0430\u043f\u0443\u0449\u0435\u043d \u043d\u0430 \u043f\u043e\u0440\u0442\u0443\u2019, PORT)\n    server.serve_forever()\n\n\n# \u041a\u043b\u0438\u0435\u043d\u0442\nimport urllib.request\n\nurl = \u2018http://192.168.0.100:8000\u2019  # URL \u0441\u0435\u0440\u0432\u0435\u0440\u0430\n\nresponse = urllib.request.urlopen(url)\ndata = response.read().decode()\n\nprint(\u2018\u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043e \u043e\u0442 \u0441\u0435\u0440\u0432\u0435\u0440\u0430:\u2019, data)\n\n\n\u042d\u0442\u043e \u043b\u0438\u0448\u044c \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0438\u0437 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043f\u043e \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Python. \u0412\u044b\u0431\u043e\u0440 \u043c\u0435\u0442\u043e\u0434\u0430 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u0432\u0430\u0448\u0438\u0445 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0445 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439 \u0438 \u043f\u0440\u0435\u0434\u043f\u043e\u0447\u0442\u0435\u043d\u0438\u0439.\n\u0421\u043e\u043a\u0435\u0442 \u043f\u043e \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0435\u0441\u043b\u0438 \u043c\u0435\u0436\u0434\u0443 \u0440\u0430\u0437\u043d\u044b\u043c\u0438 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430\u043c\u0438, \u0442\u043e \u043d\u0435 \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442\n\u0414\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u043e\u043a\u0435\u0442\u043e\u0432 \u043d\u0430\u043f\u0440\u044f\u043c\u0443\u044e \u0434\u043b\u044f \u0441\u0432\u044f\u0437\u0438 \u043c\u0435\u0436\u0434\u0443 \u0440\u0430\u0437\u043d\u044b\u043c\u0438 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430\u043c\u0438 \u0432 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u043c \u0438\u0437-\u0437\u0430 \u043c\u0430\u0440\u0448\u0440\u0443\u0442\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043a \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438. \u0415\u0441\u043b\u0438 \u0432\u044b \u0445\u043e\u0442\u0438\u0442\u0435 \u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438 \u0432 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438, \u0435\u0441\u0442\u044c \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0431\u043b\u0435\u0433\u0447\u0430\u0442 \u044d\u0442\u043e\u0442 \u043f\u0440\u043e\u0446\u0435\u0441\u0441:\n\n1. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u043e\u043a\u0435\u0442\u043e\u0432 \u0432 \u0441\u043e\u0447\u0435\u0442\u0430\u043d\u0438\u0438 \u0441 IP-\u0430\u0434\u0440\u0435\u0441\u0430\u043c\u0438 \u0438 \u043f\u043e\u0440\u0442\u0430\u043c\u0438:\n\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0430 \u043e\u0434\u043d\u043e\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435 \u0438 \u043a\u043b\u0438\u0435\u043d\u0442 \u043d\u0430 \u0434\u0440\u0443\u0433\u043e\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435 \u0432 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438. \u0417\u0430\u0442\u0435\u043c \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c IP-\u0430\u0434\u0440\u0435\u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0438 \u043f\u043e\u0440\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0432\u044b \u0432\u044b\u0431\u0440\u0430\u043b\u0438, \u0434\u043b\u044f \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u0430 \u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u043e\u043c.\n\n2. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a ZeroMQ \u0438\u043b\u0438 RabbitMQ:\n\u042d\u0442\u0438 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u044e\u0442 \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u044e \u043d\u0430\u0434 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b\u0430\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u043e\u0432, \u0434\u0435\u043b\u0430\u044f \u043f\u0440\u043e\u0446\u0435\u0441\u0441 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0438 \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438 \u0432 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0431\u043e\u043b\u0435\u0435 \u043f\u0440\u043e\u0441\u0442\u044b\u043c \u0438 \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u043c.\n\n3. \u0418\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u043e\u0432 \u0434\u043b\u044f \u0432\u0435\u0431-\u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a Flask \u0438\u043b\u0438 Django:\n\u0412\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u043e\u0437\u0434\u0430\u0442\u044c RESTful API \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u044d\u0442\u0438\u0445 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u043e\u0432 \u0438 \u043f\u0435\u0440\u0435\u0434\u0430\u0432\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u043f\u043e \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c HTTP-\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u043c\u0435\u0436\u0434\u0443 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u043c \u0438 \u0441\u0435\u0440\u0432\u0435\u0440\u043e\u043c.\n\n\u0412\u044b\u0431\u043e\u0440 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0435\u0433\u043e \u043c\u0435\u0442\u043e\u0434\u0430 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u0432\u0430\u0448\u0438\u0445 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439 \u0438 \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u0434\u0430\u0447, \u043d\u043e, \u0432 \u0446\u0435\u043b\u043e\u043c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u0439 \u0438 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a \u0432\u044b\u0441\u043e\u043a\u043e\u0433\u043e \u0443\u0440\u043e\u0432\u043d\u044f \u043f\u043e\u043c\u043e\u0436\u0435\u0442 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u044e \u043c\u0435\u0436\u0434\u0443 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438 \u0432 \u043b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u043f\u0440\u043e\u0449\u0435 \u0438 \u043d\u0430\u0434\u0435\u0436\u043d\u0435\u0435.\n\u0440\u0430\u0441\u0441\u043a\u0430\u0436\u0438 \u043e ZeroMQ \u0438 RabbitMQ\n\u0411\u0435\u0437\u0443\u0441\u043b\u043e\u0432\u043d\u043e! ZeroMQ (ZMQ) \u0438 RabbitMQ - \u044d\u0442\u043e \u0434\u0432\u0435 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438 \u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c.\n\n1. ZeroMQ (ZMQ):\nZeroMQ (\u0438\u043b\u0438 ZMQ) - \u044d\u0442\u043e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0430 \u0434\u043b\u044f \u0441\u043e\u043a\u0435\u0442\u043e\u0432 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u043d\u0430\u0434\u0435\u0436\u043d\u0443\u044e \u0438 \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u0443\u0435\u043c\u0443\u044e \u0430\u0441\u0438\u043d\u0445\u0440\u043e\u043d\u043d\u0443\u044e \u0441\u0432\u044f\u0437\u044c \u043c\u0435\u0436\u0434\u0443 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0430\u043c\u0438, \u043f\u043e\u0442\u043e\u043a\u0430\u043c\u0438 \u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u043c\u0438. \u041e\u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0430\u043d\u0430 \u043d\u0430 \u043f\u0430\u0442\u0442\u0435\u0440\u043d\u0430\u0445 \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a Publish-Subscribe, Request-Reply, Push-Pull \u0438 \u0434\u0440\u0443\u0433\u0438\u0445. ZeroMQ \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0443\u0440\u043e\u0432\u0435\u043d\u044c \u0430\u0431\u0441\u0442\u0440\u0430\u043a\u0446\u0438\u0438 \u043d\u0430\u0434 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044f \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0430\u043c \u0441\u0444\u043e\u043a\u0443\u0441\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u043d\u0430 \u043b\u043e\u0433\u0438\u043a\u0435 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f, \u0430 \u043d\u0435 \u043d\u0430 \u0434\u0435\u0442\u0430\u043b\u044f\u0445 \u0441\u0435\u0442\u0435\u0432\u043e\u0439 \u043a\u043e\u043c\u043c\u0443\u043d\u0438\u043a\u0430\u0446\u0438\u0438. \u041e\u043d\u0430 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u043e \u044f\u0437\u044b\u043a\u043e\u0432 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f, \u0432\u043a\u043b\u044e\u0447\u0430\u044f Python, \u0438 \u043e\u0431\u043b\u0430\u0434\u0430\u0435\u0442 \u043c\u043e\u0449\u043d\u044b\u043c API \u0438 \u0433\u0438\u0431\u043a\u0438\u043c\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044f\u043c\u0438 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438.\n\n2. RabbitMQ:\nRabbitMQ - \u044d\u0442\u043e \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u043e\u043c \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043d\u043d\u044b\u0439 \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u043c\u044b\u0439 \u0431\u0440\u043e\u043a\u0435\u0440 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439, \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0439 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Erlang. \u041e\u043d \u0440\u0435\u0430\u043b\u0438\u0437\u0443\u0435\u0442 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b AMQP (Advanced Message Queuing Protocol) \u0438 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0432 \u0432\u0438\u0434\u0435 \u043e\u0447\u0435\u0440\u0435\u0434\u0435\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043c\u043e\u0433\u0443\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0434\u043b\u044f \u043e\u0431\u043c\u0435\u043d\u0430 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u043c\u0435\u0436\u0434\u0443 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u043c\u0438 \u043a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0430\u043c\u0438 \u0432 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u0435. RabbitMQ \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0435\u0442 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0438 \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u0442\u043e\u0447\u043a\u0430-\u0442\u043e\u0447\u043a\u0430, \u0438\u0437\u0434\u0430\u0442\u0435\u043b\u044c-\u043f\u043e\u0434\u043f\u0438\u0441\u0447\u0438\u043a, \u043c\u0430\u0440\u0448\u0440\u0443\u0442\u0438\u0437\u0430\u0446\u0438\u044f, \u0442\u0435\u043c\u044b \u0438 \u0434\u0440\u0443\u0433\u0438\u0435. \u041e\u043d \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u044b \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u0447\u0435\u0440\u0435\u0434\u044f\u043c\u0438, \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u043e\u0448\u0438\u0431\u043e\u043a \u0438 \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u044f \u043e\u0442\u043a\u0430\u0437\u043e\u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u043e\u0441\u0442\u0438.\n\n\u041e\u0431\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430 \u0438\u043c\u0435\u044e\u0442 \u0441\u0432\u043e\u0438 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432\u0430, \u0438 \u0432\u044b\u0431\u043e\u0440 \u043c\u0435\u0436\u0434\u0443 \u043d\u0438\u043c\u0438 \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0445 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439 \u043f\u0440\u043e\u0435\u043a\u0442\u0430.\n\nZeroMQ, \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u044f \u0441\u0432\u043e\u0435\u0439 \u043b\u0435\u0433\u043a\u043e\u0432\u0435\u0441\u043d\u043e\u0439 \u0438 \u0430\u0441\u0438\u043d\u0445\u0440\u043e\u043d\u043d\u043e\u0439 \u043f\u0440\u0438\u0440\u043e\u0434\u0435, \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u0432\u044b\u0441\u043e\u043a\u0443\u044e \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0438 \u043d\u0438\u0437\u043a\u0443\u044e \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0443, \u0433\u0438\u0431\u043a\u043e\u0441\u0442\u044c \u0438 \u043f\u0440\u043e\u0441\u0442\u043e\u0442\u0443 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f. \u041e\u043d \u043e\u0442\u043b\u0438\u0447\u043d\u043e \u043f\u043e\u0434\u0445\u043e\u0434\u0438\u0442 \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u0443\u0437\u043a\u043e\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u0442\u0440\u0435\u0431\u0443\u044e\u0442 \u0441\u043b\u043e\u0436\u043d\u043e\u0439 \u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0438 \u043e\u0447\u0435\u0440\u0435\u0434\u0435\u0439 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439.\n\nRabbitMQ, \u0441 \u0434\u0440\u0443\u0433\u043e\u0439 \u0441\u0442\u043e\u0440\u043e\u043d\u044b, \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u043f\u043e\u043b\u043d\u043e\u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 \u0431\u0440\u043e\u043a\u0435\u0440 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 \u0441 \u043c\u0435\u0445\u0430\u043d\u0438\u0437\u043c\u0430\u043c\u0438 \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0438 \u0433\u0430\u0440\u0430\u043d\u0442\u0438\u0435\u0439 \u0434\u043e\u0441\u0442\u0430\u0432\u043a\u0438 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439. \u041e\u043d \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u0441\u043b\u043e\u0436\u043d\u044b\u0445 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c, \u0433\u0434\u0435 \u043d\u0430\u0434\u0435\u0436\u043d\u043e\u0441\u0442\u044c \u0438 \u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u043e\u0441\u0442\u044c \u043a \u043e\u0442\u043a\u0430\u0437\u0430\u043c \u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u043c\u0438 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f\u043c\u0438.\n\n\u0412 \u0438\u0442\u043e\u0433\u0435 \u0432\u044b\u0431\u043e\u0440 \u043c\u0435\u0436\u0434\u0443 ZMQ \u0438 RabbitMQ \u0437\u0430\u0432\u0438\u0441\u0438\u0442 \u043e\u0442 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0445 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0439 \u0432\u0430\u0448\u0435\u0433\u043e \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u0438 \u043f\u0440\u0435\u0434\u043f\u043e\u0447\u0442\u0435\u043d\u0438\u0439 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u043e\u0432.\n\u041c\u043e\u0436\u043d\u043e \u043b\u0438 \u043a\u0430\u043a\u043e\u0439-\u0442\u043e \u0438\u0437 \u044d\u0442\u0438\u0445 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u0430, \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u043e\u0431\u044b\u0447\u043d\u044b\u0439 \u0441\u043e\u043a\u0435\u0442?\n\u0414\u0430, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u043a ZeroMQ, \u0442\u0430\u043a \u0438 RabbitMQ \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0438 \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0442\u044c \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0445 \u043e\u0431\u044b\u0447\u043d\u044b\u0435 \u0441\u043e\u043a\u0435\u0442\u044b. \u041e\u0431\u0430 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430 \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u044e\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432, \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0449\u0438\u0445 \u043d\u0430 \u201c\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0445\u201d \u0441\u043e\u043a\u0435\u0442\u0430\u0445, \u0438 \u043e\u0431\u043c\u0435\u043d\u0438\u0432\u0430\u0442\u044c\u0441\u044f \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438.\n\n\u0412 \u0441\u043b\u0443\u0447\u0430\u0435 ZeroMQ \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b \u0441\u043e\u043a\u0435\u0442\u043e\u0432 ZMQ_STREAM, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u043a\u0435\u0442\u044b TCP \u0441 \u0432\u043d\u0443\u0442\u0440\u0435\u043d\u043d\u0438\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438 ZeroMQ. \u042d\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0432\u0430\u043c \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u043c\u0435\u0436\u0434\u0443 ZeroMQ \u0438 \u043e\u0431\u0449\u0438\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438. \u041a\u043b\u0438\u0435\u043d\u0442, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 \u043e\u0431\u044b\u0447\u043d\u044b\u0435 \u0441\u043e\u043a\u0435\u0442\u044b, \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u043e\u0441\u0442\u043e \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0438\u0442\u044c\u0441\u044f \u043a \u0441\u0435\u0440\u0432\u0435\u0440\u0443 ZeroMQ, \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0449\u0435\u043c\u0443 \u0432 \u0440\u0435\u0436\u0438\u043c\u0435 ZMQ_STREAM, \u0438 \u043e\u0431\u043c\u0435\u043d\u0438\u0432\u0430\u0442\u044c\u0441\u044f \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0447\u0435\u0440\u0435\u0437 TCP-\u0441\u043e\u043a\u0435\u0442\u044b.\n\n\u0412 RabbitMQ \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u043c \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u043e\u043c \u0434\u043b\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u043c, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u043c \u043e\u0431\u044b\u0447\u043d\u044b\u0439 \u0441\u043e\u043a\u0435\u0442, \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b\u0430 AMQP \u0434\u043b\u044f \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438. RabbitMQ \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0438\u0432\u0430\u0435\u0442 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0443 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b\u0430 AMQP \u0438 \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d \u0434\u043b\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u043a\u043b\u0438\u0435\u043d\u0442\u0430\u043c\u0438 \u0441 \u043e\u0431\u044b\u0447\u043d\u044b\u043c\u0438 \u0441\u043e\u043a\u0435\u0442\u0430\u043c\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u043c\u0438 \u044d\u0442\u043e\u0442 \u043f\u0440\u043e\u0442\u043e\u043a\u043e\u043b.\n\n\u041e\u0434\u043d\u0430\u043a\u043e \u0441\u0442\u043e\u0438\u0442 \u043e\u0442\u043c\u0435\u0442\u0438\u0442\u044c, \u0447\u0442\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u0442\u0430\u043a\u0438\u0445 \u043a\u0430\u043a ZeroMQ \u0438 RabbitMQ, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u0433\u0438\u0431\u043a\u0438\u0435 \u0438 \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438 \u0432 \u0440\u0430\u0441\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u0435. \u041f\u043e\u044d\u0442\u043e\u043c\u0443, \u0435\u0441\u043b\u0438 \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u044b\u0435 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 \u0441\u0435\u0440\u0432\u0435\u0440\u043e\u043c \u044d\u0442\u0438\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u0442\u0430\u043a \u043a\u0430\u043a \u043e\u043d\u0438 \u043e\u0431\u044b\u0447\u043d\u043e \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0442 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u0438 \u0441\u0442\u0430\u043d\u0434\u0430\u0440\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0439 \u0438\u043d\u0442\u0435\u0440\u0444\u0435\u0439\u0441 \u0434\u043b\u044f \u043e\u0431\u043c\u0435\u043d\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\u043c\u0438.\n\u041c\u043e\u0436\u0435\u0448\u044c \u043f\u0435\u0440\u0435\u043f\u0438\u0441\u0430\u0442\u044c \u044d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u043f\u043e\u0434 RabbitMQ, \u0447\u0442\u043e\u0431\u044b \u043e\u043d \u0440\u0430\u0431\u043e\u0442\u0430\u043b \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u043d\u043e \u0441 \u0434\u0432\u0443\u0445 \u0440\u0430\u0437\u043d\u044b\u0445 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043e\u0432\nimport socket\nimport threading\nimport json\n\nHOST = \u2018127.0.0.1\u2019\nPORT = 7800\n\nclients = []\n\ns = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\ns.bind((HOST, PORT))\n\ndef handle_client(conn, addr):\nprint(f\u2019Connected: {addr}\u2018)\nclients.append(conn)\n\nwhile True:\ntry:\ndata = conn.recv(1024)\ndata = data.decode(\u2018utf-8\u2019)\ndata = json.loads(data)\nexcept:\nbreak\nif not data:\nbreak\nprint(f\u2019Received: {data[\u201cA\u201d]}\u2019)\nsend_to_client(conn, f\u2019Processed: {data[\u201cA\u201d]}\u2018)\n\nconn.close()\nclients.remove(conn)\nprint(f\u2019Disconnected: {addr}\u2019)\n\ndef send_to_client(conn, data):\njson_data = json.dumps(data)\nconn.send(json_data.encode(\u2018utf-8\u2019))\n\ndef start():\ns.listen(5)\nprint(\u2018Server running\u2026\u2019)\nwhile True:\nconn, addr = s.accept()\nthreading.Thread(target=handle_client, args=(conn, addr)).start()\n\nstart()\n\u041a\u043e\u043d\u0432\u0435\u0440\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0435\u0433\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u0430 \u043d\u0430 \u0441\u043e\u043a\u0435\u0442\u0430\u0445 Python \u0432 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0431\u0440\u043e\u043a\u0435\u0440\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 RabbitMQ \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u0439 \u0432 \u043a\u043e\u0434\u0435. \u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440, \u043a\u0430\u043a \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u043f\u0435\u0440\u0435\u043f\u0438\u0441\u0430\u043d\u043d\u044b\u0439 \u0441\u043a\u0440\u0438\u043f\u0442 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0441 RabbitMQ \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 pika:\n\nimport json\nimport pika\n\nHOST = \u2018localhost\u2019\nQUEUE_NAME = \u2018data_queue\u2019\n\ndef handle_message(channel, method, properties, body):\n    data = json.loads(body.decode(\u2018utf-8\u2019))\n    print(f\u2019Received: {data[\u201cA\u201d]}\u2018)\n    response = {\u2018message\u2019: f\u2019Processed: {data[\u201cA\u201d]}\u2019}\n    channel.basic_publish(\n        exchange=\u2018\u2019,\n        routing_key=properties.reply_to,\n        properties=pika.BasicProperties(correlation_id=properties.correlation_id),\n        body=json.dumps(response)\n    )\n\ndef main():\n    connection = pika.BlockingConnection(pika.ConnectionParameters(host=HOST))\n    channel = connection.channel()\n    channel.queue_declare(queue=QUEUE_NAME)\n\n    channel.basic_consume(queue=QUEUE_NAME, on_message_callback=handle_message, auto_ack=True)\n\n    print(\u2018Server running\u2026\u2019)\n    channel.start_consuming()\n\nif name == \u2018main\u2019:\n    main()\n\n\n\u0412 \u044d\u0442\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435 \u043c\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 pika \u0434\u043b\u044f \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f \u043a RabbitMQ \u0438 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0430 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0439 \u0432 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 handle_message. \u041f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u0434\u0435\u043a\u043e\u0434\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0438\u0437 JSON \u0438 \u0432\u044b\u0432\u043e\u0434\u0438\u0442\u0441\u044f \u043d\u0430 \u044d\u043a\u0440\u0430\u043d. \u0417\u0430\u0442\u0435\u043c \u043c\u044b \u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c \u043e\u0442\u0432\u0435\u0442\u043d\u043e\u0435 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u043c \u043e\u0431\u0440\u0430\u0442\u043d\u043e \u043a\u043b\u0438\u0435\u043d\u0442\u0443 \u0447\u0435\u0440\u0435\u0437 exchange \u0438 routing key \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0435 \u0432 \u0441\u0432\u043e\u0439\u0441\u0442\u0432\u0430\u0445 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f.\n\n\u041d\u0435 \u0437\u0430\u0431\u0443\u0434\u044c\u0442\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0443 pika, \u0435\u0441\u043b\u0438 \u0432\u044b \u0435\u0449\u0435 \u043d\u0435 \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u043b\u0438 \u0435\u0435:\n\npip install pika\n\n\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0434\u043b\u044f \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 RabbitMQ \u0432\u0430\u043c \u043f\u043e\u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u0438\u043c\u0435\u0442\u044c RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u0437\u0430\u043f\u0443\u0449\u0435\u043d, \u0438 \u043a\u043b\u0438\u0435\u043d\u0442\u0441\u043a\u0438\u0435 \u0441\u043a\u0440\u0438\u043f\u0442\u044b \u043d\u0430 \u0434\u0440\u0443\u0433\u0438\u0445 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0430\u0445 \u0434\u043e\u043b\u0436\u043d\u044b \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438, \u0447\u0442\u043e\u0431\u044b \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0442\u044c \u0438 \u043f\u043e\u043b\u0443\u0447\u0430\u0442\u044c \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0447\u0435\u0440\u0435\u0437 RabbitMQ.\nTraceback (most recent call last):\nFile \u201cK:\\Files\\sc_temp\\serverRabbitMQ.py\u201d, line 29, in <module>\nmain()\nFile \u201cK:\\Files\\sc_temp\\serverRabbitMQ.py\u201d, line 19, in main\nconnection = pika.BlockingConnection(pika.ConnectionParameters(host=HOST))\nFile \u201cC:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pika\\adapters\\blocking_connection.py\u201d, line 360, in init\nself._impl = self._create_connection(parameters, _impl_class)\nFile \u201cC:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\pika\\adapters\\blocking_connection.py\u201d, line 451, in _create_connection\nraise self._reap_last_connection_workflow_error(error)\npika.exceptions.AMQPConnectionError\n\u041e\u0448\u0438\u0431\u043a\u0430 AMQPConnectionError \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435 \u0441 RabbitMQ \u043d\u0435 \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u0443\u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u044c. \u042d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0432\u044b\u0437\u0432\u0430\u043d\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u0447\u0438\u043d\u0430\u043c\u0438:\n\n1. RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u043d\u0435 \u0437\u0430\u043f\u0443\u0449\u0435\u043d: \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440 \u0437\u0430\u043f\u0443\u0449\u0435\u043d \u0438 \u0434\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u043f\u043e \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u043e\u043c\u0443 \u0445\u043e\u0441\u0442\u0443 (localhost \u0432 \u0434\u0430\u043d\u043d\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0435).\n\n2. \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u0443\u043a\u0430\u0437\u0430\u043d \u0445\u043e\u0441\u0442 (host) \u0438\u043b\u0438 \u043f\u043e\u0440\u0442 (port): \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0445\u043e\u0441\u0442 \u0438 \u043f\u043e\u0440\u0442, \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0435 \u0432 pika.ConnectionParameters, \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0442 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430\u043c RabbitMQ \u0441\u0435\u0440\u0432\u0435\u0440\u0430. \u041f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e, RabbitMQ \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 \u043d\u0430 \u043f\u043e\u0440\u0442\u0443 5672.\n\n3. RabbitMQ \u0442\u0440\u0435\u0431\u0443\u0435\u0442 \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438: \u0415\u0441\u043b\u0438 \u0432\u0430\u0448 \u0441\u0435\u0440\u0432\u0435\u0440 RabbitMQ \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043d \u043d\u0430 \u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u0435 \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438, \u0443\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0432\u044b \u0443\u043a\u0430\u0437\u0430\u043b\u0438 \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 (\u043b\u043e\u0433\u0438\u043d \u0438 \u043f\u0430\u0440\u043e\u043b\u044c) \u0432 pika.ConnectionParameters.\n\n4. \u0411\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0430 \u0444\u0430\u0435\u0440\u0432\u043e\u043b\u043e\u043c \u0438\u043b\u0438 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0441\u0435\u0442\u0435\u0432\u044b\u043c\u0438 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u044f\u043c\u0438: \u041f\u0440\u043e\u0432\u0435\u0440\u044c\u0442\u0435, \u043d\u0435\u0442 \u043b\u0438 \u0431\u043b\u043e\u043a\u0438\u0440\u043e\u0432\u043a\u0438 \u043f\u043e\u0440\u0442\u0430, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u043e\u043c \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442 RabbitMQ, \u0444\u0430\u0435\u0440\u0432\u043e\u043b\u043e\u043c \u0438\u043b\u0438 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u0441\u0435\u0442\u0435\u0432\u044b\u043c\u0438 \u043f\u0440\u0430\u0432\u0438\u043b\u0430\u043c\u0438 \u043d\u0430 \u0432\u0430\u0448\u0435\u043c \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u0435 \u0438\u043b\u0438 \u0432 \u0441\u0435\u0442\u0438.\n\n5.\n\u042f \u043d\u0438\u0447\u0435\u0433\u043e \u043d\u0435 \u043f\u043e\u043d\u044f\u043b \u044d\u0437 \u044d\u0442\u043e\u0433\u043e"},{"assistant_initiates":false,"asst_text":"Of course! I'm happy to help. Please enter the text you'd like me to review, and I'll do my best to provide spelling and grammar corrections as well as improvements.","behavior":"degenerate_repetition","conversation_hash":"f7f3019893d6c6391634d47dfcdbeca7","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":247,"n_turns_in_conversation":6,"n_words":44,"source_row_offset":21025,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:36:40 GMT","turn_id":"4adb83ef8f7df90f2297ddf4","turn_index":0,"user_text":"I want you to act as an professional spelling and grammer corrector and improver."},{"assistant_initiates":false,"asst_text":"The results reveal that the prevalence of hypertension in children with AD is lower than the overall proportion of hypertension found in Chinese children.","behavior":"degenerate_repetition","conversation_hash":"f7f3019893d6c6391634d47dfcdbeca7","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":296,"n_turns_in_conversation":6,"n_words":46,"source_row_offset":21026,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:36:40 GMT","turn_id":"8c5ccbad7727886195d65219","turn_index":1,"user_text":"The results show that the proportion of hypertension in AD children is lower than the overall prevalence of hypertension in Chinese children."},{"assistant_initiates":false,"asst_text":"The findings indicate that the prevalence of hypertension among children with AD is lower compared to the overall prevalence of hypertension observed among Chinese children.","behavior":"degenerate_repetition","conversation_hash":"f7f3019893d6c6391634d47dfcdbeca7","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":196,"n_turns_in_conversation":6,"n_words":29,"source_row_offset":21027,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:36:40 GMT","turn_id":"5c068fb6ff99ed5c0943217f","turn_index":2,"user_text":"not easy to understand"},{"assistant_initiates":false,"asst_text":"The study findings demonstrate that there is no significant difference in the prevalence of hypertension between children with AD and the overall prevalence of hypertension in Chinese children.","behavior":"degenerate_repetition","conversation_hash":"f7f3019893d6c6391634d47dfcdbeca7","conversation_redacted":false,"conversation_toxic":false,"country":"Hong Kong","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"gpt-3.5-turbo-0613","n_chars":385,"n_turns_in_conversation":6,"n_words":57,"source_row_offset":21028,"source_shard":"turns-00011.parquet","timestamp":"Sun, 08 Oct 2023 12:36:40 GMT","turn_id":"2b3b5a0a4182a176b1cf046d","turn_index":3,"user_text":"The study results show that compared with the overall prevalence of hypertension in Chinese children, there is no significant difference in the prevalence of hypertension in children with AD."}],"shard":{"index":11,"name":"turns-00011.parquet","rows":69785}}