| import os | |
| import torch | |
| from transformers import AutoModelForCausalLM, AutoTokenizer, TrainingArguments,BitsAndBytesConfig | |
| from datasets import load_dataset | |
| from trl import SFTTrainer | |
| from peft import AutoPeftModelForCausalLM, LoraConfig, get_peft_model, prepare_model_for_kbit_training | |
| from utils import find_all_linear_names, print_trainable_parameters | |
| output_dir="./results" |
| # two cases 1 - multithreading | |
| # two cases 2 - single threaded | |
| import time | |
| import logging | |
| import requests | |
| from concurrent.futures import ThreadPoolExecutor | |
| import tqdm | |
| #include <iostream> | |
| #include <vector> | |
| #include <string> | |
| // Структура для представления задачи | |
| struct Task { | |
| std::string title; | |
| std::string description; | |
| }; |
| #include <iostream> | |
| #include <stack> | |
| #include <string> | |
| #include <sstream> | |
| #include <cmath> | |
| using namespace std; | |
| bool isOperator(const string& token) { | |
| return token == "+" || token == "-" || token == "*" || token == "/"; |
| #include <iostream> | |
| #include <ctime> | |
| #include <cstdlib> | |
| // Функция для получения выбора компьютера | |
| int computerChoice() { | |
| // Генерируем случайное число от 0 до 2 | |
| return rand() % 3; | |
| } |
| import requests | |
| IAM_TOKEN = "t1.9euelZqTjZCVzZqcnprPlZiUxsycke3rnpWai4nLnpuWyIzPkpidz5Cajpbl8_cSWC9Z-e9" \ | |
| "-LU5a_N3z91IGLVn5734tTlr8zef1656VmsnMx5mPi8" \ | |
| "-Tz4yMlYzGnZPN7_zN5_XrnpWanJKMyZeVic7JxpLOyM6Nyovv_cXrnpWayczHmY-Lz5PPjIyVjMadk80" \ | |
| ".Op3bvbMDExeyvUamwrxruF_SYwQuMglhQYg4l5YIq18gS8lOovwZAZrYb4-zSxBipbY1w_nWfBBff8DOJDTkAA" | |
| headers = { | |
| "Authorization": f"Bearer {IAM_TOKEN}", | |
| "x-folder-id": "b1gmsqg2bg9ovf4uqsf4" |
| Source | Target | Type | weight | book | |
|---|---|---|---|---|---|
| Addam-Marbrand | Jaime-Lannister | Undirected | 3 | 1 | |
| Addam-Marbrand | Tywin-Lannister | Undirected | 6 | 1 | |
| Aegon-I-Targaryen | Daenerys-Targaryen | Undirected | 5 | 1 | |
| Aegon-I-Targaryen | Eddard-Stark | Undirected | 4 | 1 | |
| Aemon-Targaryen-(Maester-Aemon) | Alliser-Thorne | Undirected | 4 | 1 | |
| Aemon-Targaryen-(Maester-Aemon) | Bowen-Marsh | Undirected | 4 | 1 | |
| Aemon-Targaryen-(Maester-Aemon) | Chett | Undirected | 9 | 1 | |
| Aemon-Targaryen-(Maester-Aemon) | Clydas | Undirected | 5 | 1 | |
| Aemon-Targaryen-(Maester-Aemon) | Jeor-Mormont | Undirected | 13 | 1 |
| import os | |
| import dotenv | |
| from langchain import HuggingFaceTextGenInference | |
| dotenv.load_dotenv() | |
| os.environ[ | |
| "HUGGINGFACEHUB_API_TOKEN" | |
| ] = os.getenv("HF_API_TOKEN") |
| import requests | |
| def get_lat_lon(street=None, city='Москва') -> tuple[float, float]: | |
| if street is None: | |
| raise Exception('error! street is None') | |
| p = { | |
| 'street': street, | |
| 'city': city, | |
| 'format': 'json', |
Every now and then I need to create a self signed certificate in azure for something. In my particular case its Azure B2C. I am using a mac so its not simply just running something like
New-SelfSignedCertificate `
-KeyExportPolicy Exportable `
-Subject "CN=yourappname.yourtenant.onmicrosoft.com" `
-KeyAlgorithm RSA `