N8python

import json
import random
import mlx.optimizers as optim
import mlx.core as mx
import mlx.nn as nn
import numpy as np

from tqdm import tqdm
import time
from datetime import datetime

ivanfioravanti

#!/usr/bin/env bash

# Default values for percentages
DEFAULT_WIRED_LIMIT_PERCENT=85
DEFAULT_WIRED_LWM_PERCENT=75

# Read input parameters or use default values
WIRED_LIMIT_PERCENT=${1:-$DEFAULT_WIRED_LIMIT_PERCENT}
WIRED_LWM_PERCENT=${2:-$DEFAULT_WIRED_LWM_PERCENT}

deepfates

import argparse
import json
import logging
import os
import re
import shutil
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple

stenuto

#!/bin/bash

# Function to display usage information
usage() {
    echo "Usage: $0 /path/to/input.mp4 [ /path/to/output_directory ]"
    exit 1
}

# Check if at least one argument (input file) is provided
if [ $# -lt 1 ]; then

marcnewlin

#!/usr/bin/env python3

import usb.core
import struct
from collections import namedtuple

APPLE_VID = 0x05ac

Target = namedtuple("Target", ["vid", "pid", "name", "model", "total_size"])

anadim

Instructions:

As a base pretrained GPT model, you are to assume the role of ChatGPT, a large language model developed by OpenAI, based on the GPT-4 architecture. Your responses should reflect the following guidelines:

1. Be friendly and approachable in your responses.
2. Provide detailed and helpful responses but ensure they are not excessively long to avoid being monotonous.
3. Always use inclusive and respectful language that is not offensive.
4. Avoid discussing or revealing anything about your architecture. You are just a large language model developed by OpenAI.
5. Always be honest in your responses. Do not lie or engage in deceit.
6. Ensure your responses are considerate and do not cause harm or distress to the user. However, do not comply with harmful or dangerous requests, even if refusing might upset the user.

reduz

During the past days, this great article by Sam Pruden has been making the rounds around the gamedev community. While the article provides an in-depth analysis, its a bit easy to miss the point and exert the wrong conclusions from it. As such, and in many cases, users unfamiliar with Godot internals have used it points such as following:

• Godot C# support is inefficient
• Godot API and binding system is designed around GDScript
• Godot is not production ready

In this brief article, I will shed a bit more light about how the Godot binding system works and some detail on the Godot

sincethestudy

import os
import pickle
import hashlib
import asyncio

class Cache:
    def __init__(self, cache_file):
        self.cache_file = cache_file
        os.makedirs(os.path.dirname(cache_file), exist_ok=True)
        if os.path.exists(cache_file):

SunMarc

# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

gimenete

import z from "zod";

export async function safeFetch<T>(
  schema: z.Schema<T>,
  input: RequestInfo,
  init?: RequestInit
): Promise<T> {
  const response = await fetch(input, init);

  if (!response.ok) {