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import numpy as np

def spirals(n_samples=400):
    N = n_samples
    theta = np.sqrt(np.random.rand(N))*2*np.pi

    r_a = 2*theta + np.pi
    data_a = np.array([np.cos(theta)*r_a, np.sin(theta)*r_a]).T
    x_a = data_a + np.random.randn(N,2)

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from copy import deepcopy
from typing import Any, Dict, Generator, List, Optional, Union
from typing import NamedTuple, Tuple

from gymnasium import spaces
import numpy as np
import torch as th

from stable_baselines3.common.buffers import BaseBuffer
from stable_baselines3.common.vec_env import VecNormalize

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# Based on min-char-rnn.py
# https://gist.github.com/karpathy/d4dee566867f8291f086

import torch as th
import torch.nn as nn
import numpy as np


class Model(nn.Module):
    def __init__(self, hidden_size, vocab_size, num_layers):

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FROM pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime

ARG USER="user"
ARG UID="1000"
ARG GID="100"

USER "root"

RUN apt-get update && apt-get install -y gnupg

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Edit wpa_supplicant.conf and save it to the root of boot partition.
Replace the country code, ssid, and psk.
Full list of country codes: https://www.thinkpenguin.com/gnu-linux/country-code-list

On first boot, this file will be moved to /etc/wpa_supplicant/wpa_supplicant.conf where it may be edited later.

masterdezign

How to install latest GHC 7.10.2 from source + stack 0.1.6.0 + cabal 1.22.4.0 + cabal-install 1.22.6.0 on ubuntu

for your convinience these instuction is available as:
gist
git repo

settings

GHC_VERSION="7.10.2"  

ARCHITECTURE="x86_64"

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{-
Brainf**k interpreter

Brainf**k is a Turing-complete programming language.

Instructions:
>   Increment data pointer so that it points to next location in memory.
<   Decrement data pointer so that it points to previous location in memory.
+   Increment the byte pointed by data pointer by 1. If it is already at its maximum value, 255, then new value will be 0.
-   Decrement the byte pointed by data pointer by 1. If it is at its minimum value, 0, then new value will be 255.

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version: '3.1'

services:

  db:
    image: mysql
    restart: always
    environment:
      MYSQL_ROOT_PASSWORD: CHANGE_THIS_PASSWORD
      MYSQL_DATABASE: test_db

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#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

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-- Worth reading http://www.geeksforgeeks.org/convex-hull-set-2-graham-scan/

import Text.Printf
import Data.List

type Point = (Double, Double)

-- Euclidean distance
dist :: (Double, Double) -> (Double, Double) -> Double
dist (x1, y1) (x2, y2) = sqrt (f x1 x2 + f y1 y2)