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from typing import Dict, Union
from huggingface_hub import get_safetensors_metadata
import argparse
import sys

# Example: 
# python get_gpu_memory.py Qwen/Qwen2.5-7B-Instruct

# Dictionary mapping dtype strings to their byte sizes
bytes_per_dtype: Dict[str, float] = {

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import asyncio
import base64
import json
import os
import pyaudio
from websockets.asyncio.client import connect


class SimpleGeminiVoice:
    def __init__(self):

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// SPDX-License-Identifier: MIT
// Compatible with OpenZeppelin Contracts ^5.0.0
pragma solidity ^0.8.22;

import "@openzeppelin/contracts/token/ERC721/ERC721.sol";
import "@openzeppelin/contracts/token/ERC721/extensions/ERC721Enumerable.sol";
import "@openzeppelin/contracts/token/ERC721/extensions/ERC721URIStorage.sol";
import "@openzeppelin/contracts/access/Ownable.sol";
import {VRFConsumerBaseV2Plus} from "@chainlink/contracts/src/v0.8/vrf/dev/VRFConsumerBaseV2Plus.sol";
import {VRFV2PlusClient} from "@chainlink/contracts/src/v0.8/vrf/dev/libraries/VRFV2PlusClient.sol";

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THE PROBLEM

🌲 Invert a binary tree! 🌲

Except with 3 catches:

1. It must invert the keys ("bit-reversal permutation")
2. It must be a dependency-free, pure recursive function
3. It must have type Bit -> Tree -> Tree (i.e., a direct recursion with max 1 bit state)

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Markdown Buttons

A collection of SVG buttons for displaying custom "buttons" in Markdown content. You are free to use these buttons wherever you like. All buttons were created in Figma, with (most) icons provided by the Iconify plugin.

The SVG files can be found on this gist. They have been separated in order to reduce the amount of lag when loading this README file.

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#include <X11/Xlib.h>

int main() {
    XEvent event;
    Display* display = XOpenDisplay(NULL);
    Window w = XCreateSimpleWindow(display, DefaultRootWindow(display), 50, 50, 250, 250, 1, BlackPixel(display, 0), WhitePixel(display, 0));
    XMapWindow(display, w);
    XSelectInput(display, w, ExposureMask);

    for (;;) {

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#Configuration Proxy

    #Git 
    git config --global http.proxy http://<username>:<password>@<proxy-port>
    git config --global https.proxy http://<username>:<password>@<proxy-port>
    

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import gymnasium as gym
import numpy as np
from gymnasium.envs.mujoco.mujoco_env import MujocoEnv

# Env initialization
env = gym.make("Swimmer-v4", render_mode="human")
# Wrap to have reward statistics
env = gym.wrappers.RecordEpisodeStatistics(env)
mujoco_env = env.unwrapped
n_joints = 2

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git clone https://github.com/cpacker/MemGPT.git
conda create -n memgpt python=3.10
conda activate memgpt
cd memgpt
pip install -r requirements.txt
export OPENAI_API_KEY="YOUR_API_KEY"
# download .txt docs from: https://huggingface.co/datasets/MemGPT/example-sec-filings/tree/main
# place in "memgpt/personas/examples/preload_archival/*.txt"
python3 main.py --archival_storage_files_compute_embeddings="memgpt/personas/examples/preload_archival/*.txt" --persona=memgpt_doc --human=basic