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import itertools
from copy import deepcopy
from functools import partial
from itertools import cycle
from pprint import pprint
from timeit import timeit
from typing import List, Tuple

import numpy as np
import pandas as pd

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FROM ubuntu:20.04

ENV DEBIAN_FRONTEND noninteractive

RUN apt-get update \
    && apt-get --yes install curl xz-utils sudo \
    && apt-get clean && rm -rf /var/lib/apt/lists/ \
    && useradd -m -G sudo --password "!" --shell /bin/bash my-user \
    && (echo 'my-user ALL=(ALL) NOPASSWD: ALL' >> /etc/sudoers)

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{ lib, config, pkgs, ... }:

let
  ldconfig = pkgs.writeScript "ldconfig" ''
    #! /usr/bin/env bash
    cleanup() {
      rm -f "$TMP"
    }
    trap cleanup EXIT

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#! /usr/bin/env nix-shell
#! nix-shell -i python -p "(import ./. { config = { allowUnfree = true; cudaSupport = true; }; }).python3.withPackages (ps: with ps; [ pytorch ])"

import torch

a = torch.randn(1, 3, 128, 128, device="cuda")
torch.nn.functional.conv2d(a, torch.randn(1, 3, 2, 2, device="cuda"))
print("ok")

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30c30
< cmake -GNinja -DBUILD_DOCS=0 -DBUILD_NAMEDTENSOR=1 -DBUILD_PYTHON=True -DBUILD_TEST=False -DCMAKE_BUILD_TYPE=Release -DCMAKE_INCLUDE_PATH=/nix/store/x3bc3xh6560gbx0npb17z14l0g960wp1-blas-3-dev/include:/nix/store/83s0r0nydjnh72hay6nks21q3045xh3w-openblas-0.3.20-dev/include:/nix/store/480wkg7xhhrgydn1710bp6ay1s5l64ir-cudatoolkit-11-cudnn-8.3.2/include:/nix/store/xaqsmhgkmfpgb5a0vj2d809fkygfw6wy-magma-2.6.2/include:/nix/store/pzqv19y0v3ypzkyiqiyr5p181h68hvrb-nccl-2.12.10-1-cuda-11.6-dev/include:/nix/store/4y54n3qssgc49bsr0xbbavg3qjpc0z9q-numactl-2.0.14/include:/nix/store/hym1n0ygqp9wcm7pxn4sfrql3fg7xa09-python3-3.9.12/include:/nix/store/hym1n0ygqp9wcm7pxn4sfrql3fg7xa09-python3-3.9.12/include -DCMAKE_INSTALL_PREFIX=/build/source/torch -DCMAKE_LIBRARY_PATH=/nix/store/n904zi6lspddqm5y8cc51xnsz37rn1j8-blas-3/lib:/nix/store/lwfgy55vscqdxxn1w2gz1b3vck5v7792-openblas-0.3.20/lib:/nix/store/480wkg7xhhrgydn1710bp6ay1s5l64ir-cudatoolkit-11-cudnn-8.3.2/lib:/nix/store/xaqsmhgkmfpgb5a0vj2d809fkygfw6wy-magma-2.6.2/lib:

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/nix/store/kb30f9livrnxswcx53cgwq9m49k1ksnj-python3.9-pytorch-1.11.0.drv
├───/nix/store/9krlzvny65gdc8s7kpb6lkx8cd02c25b-default-builder.sh
├───/nix/store/d0gl66iq1mld4qkmx5vs0ffzf7qnj01r-bash-5.1-p16.drv
│   ├───/nix/store/0zhkga32apid60mm7nh92z2970im5837-bootstrap-tools.drv
│   │   ├───/nix/store/b7irlwi2wjlx5aj1dghx4c8k3ax6m56q-busybox.drv
│   │   ├───/nix/store/bzq60ip2z5xgi7jk6jgdw8cngfiwjrcm-bootstrap-tools.tar.xz.drv
│   │   └───/nix/store/wzdwpgqf2384hr2npma78mqillg5lv08-unpack-bootstrap-tools.sh
│   ├───/nix/store/1h2k4r9m23y3mkp8dzahfhf9izhcqy41-bash51-005.drv
│   ├───/nix/store/38n3s6l5ijf0hsqqbjbknj0ipwzya5vk-bash51-011.drv
│   ├───/nix/store/9krlzvny65gdc8s7kpb6lkx8cd02c25b-default-builder.sh [...]

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let
  pkgs = import <nixpkgs> { config.cudaSupport = true; config.allowUnfree = true; };
  py = pkgs.python3.withPackages (ps: with ps; [
    pytorch
  ]);
in pkgs.dockerTools.buildLayeredImage {
  name = "docker-pytorch";
  contents = [
    py
  ];

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// ==UserScript==
// @name     Replace href with originalsrc in outlook
// @version  1
// @grant    none
// @match    https://outlook.office.com/*
// @run-at   document-start
// ==/UserScript==


function replaceHrefs() {

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import binascii
import codecs

from miio.discovery import Discovery
from miio.miioprotocol import MiIOProtocol

if __name__ == "__main__":
    reply = MiIOProtocol.discover("192.168.5.1", timeout=60)
    token = codecs.encode(reply.checksum, "hex")
    device_id = binascii.hexlify(reply.header.value.device_id).decode()

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-- test.sql
-- watch "sqlite3 < test.sql"

.mode table

CREATE TABLE t
 (name TEXT)
;