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import argparse
import timeit

parser = argparse.ArgumentParser()
parser.add_argument('--number', type=int, default=10000000)
parser.add_argument('--device', type=str, default="native:0")
parser.add_argument('--variables', type=int, default=1)
parser.add_argument('--require-grad', action="store_true", default=False)
parser.add_argument('--batch-size', type=int, default=1)
parser.add_argument('--unsafe', action="store_true", default=False)

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import argparse
import timeit

parser = argparse.ArgumentParser()
parser.add_argument('--number', type=int, default=20)
parser.add_argument('--device', type=str, default="native:0")
parser.add_argument('--batch-size', type=int, default=1)
parser.add_argument('--indices', choices=['list', 'numpy', 'chainerx'])
parser.add_argument('--data', default='mnist', help='Path to the directory that contains MNIST dataset')
args = parser.parse_args()

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#include QMK_KEYBOARD_H

extern keymap_config_t keymap_config;

#define _QWERTY 0
#define _LOWER 1
#define _RAISE 2
#define _ADJUST 16

enum custom_keycodes {

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$ python xp_nested_array.py --src-xp numpy --dst-xp numpy --shape "(3, 224, 224)" --batch-size 10
Shape: (3, 224, 224)
Batch size: 10
Running numpy.array(<List[numpy.ndarray]>) in 10000 times...
3.857709832955152

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>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b')
array([[[0, 4],
        [2, 6]],
       [[1, 5],
        [3, 7]]], dtype=int8)
>>> ctypes.string_at(np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b').ctypes.data, 8)  # .data.tobytes() doesn't work properly
b'\x00\x04\x02\x06\x01\x05\x03\x07'
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b').__array_interface__
{'data': (23426096, False), 'strides': None, 'descr': [('', '|i1')], 'typestr': '|i1', 'shape': (2, 2, 2), 'version': 3}
>>> np.array([[[0, 4], [2, 6]], [[1, 5], [3, 7]]], dtype='b').flags

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#!/usr/bin/env python
import argparse

import chainer
import chainer.functions as F
import chainer.links as L
from chainer import training
from chainer.training import extensions

import numpy as np

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# -*- coding: utf-8 -*-

import FreeCAD
import importCSG
import importDXF

def csg_to_dxf(src, dst):
    doc = importCSG.open(src)
    importDXF.export([doc.TopologicalSortedObjects[0]], dst)  # assumes it has single root object
    FreeCAD.closeDocument(doc.Name)

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Install DKMS

$ apt install dkms

Prepare for signing kernel modules

TODO

Install

Download the source code.

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// The original idea comes from a post by Alex Krush.
// https://medium.com/@akrush95/global-cached-state-in-react-using-hooks-context-and-local-storage-166eacf8ab46

import React, { useCallback, useEffect, useReducer, useRef } from 'react';

export const createCachedContext = ({ storageKey, defaultValue }) => {
  const initializer = (initialState) => {
    const localState = localStorage.getItem(storageKey);
    if (localState) {
      try {

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# -*- coding: utf-8 -*-

# ref. https://qiita.com/k-jimon/items/f02fae75e853a9c02127

from collections import deque, defaultdict, Counter
from itertools import chain, islice, takewhile
import MeCab
import os
import random
import re