[何を実現するの?]
[どんな背景があるから実現するの?]
[コードだけでは分からない作成物のアーキテクチャを画像などで]
package proto | |
import ( | |
"crypto/md5" | |
"crypto/sha1" | |
"crypto/sha256" | |
"crypto/sha512" | |
"hash" | |
"hash/fnv" | |
"testing" |
FROM arm32v6/alpine | |
RUN apk add --no-cache dnsmasq | |
EXPOSE 53/tcp \ | |
53/udp \ | |
67/udp | |
ENTRYPOINT ["dnsmasq", "--no-daemon", "--user=dnsmasq", "--group=dnsmasq"] |
#NoSQLデータモデリング技法
原文:NoSQL Data Modeling Techniques « Highly Scalable Blog
I translated this article for study. contact matope[dot]ono[gmail] if any problem.
NoSQLデータベースはスケーラビリティ、パフォーマンス、一貫性といった様々な非機能要件から比較される。NoSQLのこの側面は実践と理論の両面からよく研究されている。ある種の非機能特性はNoSQLを利用する主な動機であり、NoSQLシステムによく適用されるCAP定理がそうであるように分散システムの基本的原則だからだ。一方で、NoSQLデータモデリングはあまり研究されておらず、リレーショナルデータベースに見られるようなシステマティックな理論に欠けている。本稿で、私はデータモデリングの視点からのNoSQLシステムファミリーの短い比較といくつかの共通するモデリングテクニックの要約を解説したい。
本稿をレビューして文法を清書してくれたDaniel Kirkdorfferに感謝したいと思う
- "name": "-お布団-" | |
"screen_name": "@Ohuton5732" | |
- "name": "-トオル-" | |
"screen_name": "@Toru_rzr" | |
- "name": ".HISAKUN" | |
"screen_name": "@hisakunsan" | |
- "name": "105bank" | |
"screen_name": "@105bank" | |
- "name": "27Cobalter" | |
"screen_name": "@27Cobalter" |
If you want to use multiple dbs at once there are several different ways... | |
1) If you want to do this on a per-model level, use .store_in (This is for all threads): | |
class Band | |
include Mongoid::Document | |
store_in database: "secondary" # This can be any name you want, no need to put it in the mongoid.yml. | |
end | |
class Artist |
It's recommend to use the Vive Trackers 2018 since they have less interference with the Oculus Touch controllers. Also some of the steps are only necessary for the moment because of some bugs and broken tools.
I recommend you to join this Discord server if you have any questions: https://discord.gg/bkRgTVw. You can also check this document for fixes to some common issues.
Written by Ind3x. Thanks to Dj Lukis.LT and Kaori for several additional hints.
Steam\config\steamvr.vrsettings
with Windows' Notepad and add the following to the beginning of the steamvr
section. Click here to see a short video on how to do that.Latency Comparison Numbers | |
-------------------------- | |
L1 cache reference/hit 1.5 ns 4 cycles | |
Floating-point add/mult/FMA operation 1.5 ns 4 cycles | |
L2 cache reference/hit 5 ns 12 ~ 17 cycles | |
Branch mispredict 6 ns 15 ~ 20 cycles | |
L3 cache hit (unshared cache line) 16 ns 42 cycles | |
L3 cache hit (shared line in another core) 25 ns 65 cycles | |
Mutex lock/unlock 25 ns | |
L3 cache hit (modified in another core) 29 ns 75 cycles |
import numpy as np | |
import random | |
import math | |
import cv2 | |
from PIL import Image | |
def detect_markers(im): | |
markers = [] | |
# 輪郭線抽出のための二値化 | |
im_gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) |