adtac

#!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 | tee /dev/stderr | grep -oP 'sha256:[0-9a-f]*')"

# syntax = docker/dockerfile:1.4.0

FROM node:20

WORKDIR /root

RUN npm install sqlite3

mikhailov-work

// Copyright 2019 Google LLC.
// SPDX-License-Identifier: Apache-2.0

// Author: Anton Mikhailov

// The look-up tables contains 256 entries. Each entry is a an sRGB triplet.

float turbo_srgb_floats[256][3] = {{0.18995,0.07176,0.23217},{0.19483,0.08339,0.26149},{0.19956,0.09498,0.29024},{0.20415,0.10652,0.31844},{0.20860,0.11802,0.34607},{0.21291,0.12947,0.37314},{0.21708,0.14087,0.39964},{0.22111,0.15223,0.42558},{0.22500,0.16354,0.45096},{0.22875,0.17481,0.47578},{0.23236,0.18603,0.50004},{0.23582,0.19720,0.52373},{0.23915,0.20833,0.54686},{0.24234,0.21941,0.56942},{0.24539,0.23044,0.59142},{0.24830,0.24143,0.61286},{0.25107,0.25237,0.63374},{0.25369,0.26327,0.65406},{0.25618,0.27412,0.67381},{0.25853,0.28492,0.69300},{0.26074,0.29568,0.71162},{0.26280,0.30639,0.72968},{0.26473,0.31706,0.74718},{0.26652,0.32768,0.76412},{0.26816,0.33825,0.78050},{0.26967,0.34878,0.79631},{0.27103,0.35926,0.81156},{0.27226,0.36970,0.82624},{0.27334,0.38008,0.84037},{0.27429,0.39043,0.85393},{0.27509,0.40072,0.86692},{0.2757

tjkendev

• 基本

3**3  # => 9
3x3   # => "333"
"a"x3 # => "aaa"
1."a" # => "1a"

# 文字列や数値は随時キャストされる
10 x 3 * 5    # => 505050

TatsuoWatanabe

VERSION 1.0 CLASS
BEGIN
  MultiUse = -1  'True
END
Attribute VB_Name = "ExcelGrep"
Attribute VB_GlobalNameSpace = False
Attribute VB_Creatable = False
Attribute VB_PredeclaredId = False
Attribute VB_Exposed = False
Option Explicit

gakuzzzz

Java8 の Stream で Map を操作するサポート作った

MapStreamSyntax というクラスで基本的に static import して使います。

具体例を見てもらえばどの辺が便利なのか伝わるでしょうか？

Case.1

// JDK標準APIのみ
public Map<Integer, String> Case1_Before(final Map<Integer, String> map) {

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

paulp

[user]
  name = Paul Phillips
  email = paulp@improving.org
[github]
  user = $GITHUB_USER
  token = $GITHUB_TOKEN
[clean]
  requireForce = false
[grep]
  lineNumber = true