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# Essentials ###########################################################

unbind C-b
set -g prefix C-q

# Reload config
bind R source-file ~/.tmux.conf \; display-message "Tmux configuration reloaded"

# Basic terminal defaults
setw -g mode-keys vi

heiner

cmake_minimum_required(VERSION 3.10)
project(cppgen VERSION 0.0.1 LANGUAGES CXX)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED ON)

add_executable(remapping remapping.cc)
target_link_libraries(remapping stdc++ "-framework Foundation" "-framework IOKit" objc)

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cmake_minimum_required(VERSION 3.10)
project(cppgen VERSION 0.0.1 LANGUAGES CXX)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_CXX_STANDARD_REQUIRED ON)

link_libraries(pthread)

add_executable(cppgen cppgen.cc)
add_executable(cppgen-dup2 cppgen-dup2.cc)
add_executable(cppgen-lock cppgen-lock.cc)

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with 0 points
with 160 points
with 60 points
with 140 points
with 64 points
with 52 points
with 84 points
with 146 points
with 52 points
with 76 points

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#include "skel.h"

#include <torch/extension.h>

namespace py = pybind11;

PYBIND11_MODULE(skel, m) {
  py::class_<Skel>(m, "Skel").def(py::init<>()).def("tensor", &Skel::tensor)
      /**/

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import timeit

import torch
from torch import nn
from torch.nn import functional as F


class Flags:
    pass

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import array
import os
import socket
import mmap

import time


def send_fds(sock, msg, fds):  # not yet used
    return sock.sendmsg(

heiner

// Copied from
// https://raw.githubusercontent.com/tensorflow/tensorflow/9590c4c32dd4346ea5c35673336f5912c6072bf2/tensorflow/core/platform/default/notification.h
// and slightly modified.
/* Copyright 2015 The TensorFlow Authors. 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

heiner

import os
import select
import sys
import termios

import gym


def play():
    env = gym.make("AdventureNoFrameskip-v4" if len(sys.argv) < 2 else sys.argv[1])

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import os
import sys

import tensorflow as tf

logdir = "/tmp/checkpoints"


def get_variables(logdir):
    variables = {}