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let
  pkgs = import <nixpkgs> { };
in
with pkgs;
mkShell {
  name = "profile-shmem";
  buildInputs = [ clang_11 boost ];
}

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FROM alpine:latest

RUN apk add build-base
RUN apk add clang
RUN apk add boost-dev

COPY ./base.hpp .
COPY ./shmem_profile_consumer.cpp .
RUN clang++ -O3 -std=c++17 -o /usr/bin/consumer shmem_profile_consumer.cpp -lrt -I. -pthread

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# NB: `dev` is the stack name. You can call your stack whatever you want.
# The pulumi config should then be called `Pulumi.${my_stack_name}.yaml`.
config:
  dev:nix_build_expr: "config.nodes.%s.configuration.system.build.googleComputeImage"
  dev:image_bucket: "nixos-images"
  dev:instances:
    - name: $HOSTNAME_OF_YOUR_CHOOSING
      disk:
        size_gb: 500
        type: "pd-ssd"

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pub fn munge<D, I>(&'a mut self, data: D) -> impl Iterator<Item = u8> + 'a
where
    D: IntoIterator<Item = I> + 'a,
    I: Borrow<u8> + 'a,
{
    data.into_iter()
        .zip(&mut self.key)
        .map(|(byte, k)| byte.borrow() ^ k)
}

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{ pkgs, ... }:
let
  hardwareUrl = "https://github.com/NixOS/nixos-hardware/archive/684ae160a6e76590eafa3fca8061b6ad57bcc9ad.tar.gz";
in
{
  imports = [
    "${fetchTarball hardwareUrl}/raspberry-pi/4"
  ];

  boot = {

cpcloud

import sqlalchemy as sa
import sqlparse


def issue_sql(con):
    part = con.table("part")
    supplier = con.table("supplier")
    partsupp = con.table("partsupp")

    q = part.join(partsupp, part.P_PARTKEY == partsupp.PS_PARTKEY)

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library(ggplot2)
library(stringr)
library(tidyr)
library(ggh4x)
library(bigrquery)
library(DBI)

library(dplyr, warn.conflicts = FALSE)
library(lubridate, warn.conflicts = FALSE)

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{
  "nodes": {
    "flake-utils": {
      "locked": {
        "lastModified": 1644229661,
        "narHash": "sha256-1YdnJAsNy69bpcjuoKdOYQX0YxZBiCYZo4Twxerqv7k=",
        "owner": "numtide",
        "repo": "flake-utils",
        "rev": "3cecb5b042f7f209c56ffd8371b2711a290ec797",
        "type": "github"

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from pprint import pprint as print

import duckdb

import ibis

garbage = """
DROP TABLE IF EXISTS demo_data;
CREATE TABLE demo_data (
    event_id INT

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import contextlib
import time
from datetime import timedelta

import ibis
import pandas as pd
from ibis import _


def pandas():