afiodorov

function find_and_activate_venv() {
    current_dir=$PWD

    while [ "$current_dir" != "/" ]; do
        if [ -d "$current_dir/.venv" ]; then
            source "$current_dir/.venv/bin/activate"
            return
        fi
        current_dir=$(dirname "$current_dir")
    done

afiodorov

#!/usr/bin/env python3
import argparse
import json
import sys
 
 
def jq_filters(d, path=None, text_limit=None):
    """
    Returns all jq filters for the json.
    """

afiodorov

import os
import json
import logging
from urllib import request
from datetime import datetime, timezone
from dataclasses import dataclass

import boto3
from boto3.dynamodb.conditions import Key

afiodorov

import pandas as pd
from queue import PriorityQueue
from dataclasses import dataclass
from functools import cache

grid = pd.read_csv("./data/17.txt", names=[0], dtype='str').apply(lambda x: pd.Series(list(x[0])), axis=1).astype(int)
directions = [(0, 1), (1, 0), (-1, 0), (0, -1)]

@dataclass(frozen=True, order=True)
class NodeState:

afiodorov

import asyncio
import websockets


async def client_to_server(client, server):
    async for message in client:
        await server.send(message)

async def server_to_client(client, server):
    async for message in server:

afiodorov

Docker Image  : pytorch/pytorch
Image Runtype : jupyter_direc ssh_direc ssh_proxy
Environment : [["JUPYTER_DIR", "/"], ["-p 41654:41654", "1"]]

pip install torch bitsandbytes sentencepiece "protobuf<=3.20.2" git+https://github.com/huggingface/transformers flask python-dotenv Flask-HTTPAuth accelerate

!mv /opt/conda/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda116.so /opt/conda/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so

afiodorov

#!/usr/bin/env python3
 
import psutil
import time
 
if __name__ == "__main__":
    while True:
        procs = []
 
        for proc in psutil.process_iter():

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#!/usr/bin/env python3
 
import os
import openai
import argparse
import sys
 
openai.api_key = os.getenv("OPENAI_API_KEY")
 
 

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import pickle

from datetime import datetime, timedelta
from functools import wraps
from hashlib import sha224
from pathlib import Path
from time import time
from typing import Optional

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package main

import (
	"fmt"
	"math"
	"sort"
	"time"
)

// Data holds Value & Time when value was observed