| import json | |
| def annotation_testing(data): | |
| counter_corrected = 0 | |
| counter_missing = 0 | |
| amount = 0 | |
| for d in data["data"]: | |
| for p in d["paragraphs"]: | |
| idx_remove = [] | |
| for i,q in enumerate(p["qas"]): |
Os nomes das tabelas e colunas devem estar minúsculas e as palavras devem ser separadas por underscore, seguindo o padrão snake case. E todos os termos devem estar em inglês, exceto alguns termos que não há tradução apropriada para o inglês. Sempre prefira nomes descritivos, evitando ao máximo contrações.
Os nomes das tabelas devem estar no plural.
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
| using UnityEngine.Networking; | |
| using System.IO; | |
| using System.Security.Cryptography; | |
| using System.Text; | |
| using UnityEngine; | |
| using System; | |
| namespace Mobcast.Coffee.AssetSystem | |
| { |
A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.
Nowadays lots of companies choose engines like Unreal or Unity for their games (or that's what lot of people think) because d
| 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 |
Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.
| from typing import List, Dict, Literal, Union | |
| from transformers import AutoTokenizer | |
| class MistralAICtx: | |
| def __init__(self, model_name: str): | |
| assert "mistral" in model_name, "MistralCtx only available for Mistral models" | |
| self.tokenizer = AutoTokenizer.from_pretrained( | |
| "mistralai/Mistral-7B-Instruct-v0.2") |
| if (typeof $WH == "undefined") { | |
| $WH = { | |
| wowheadRemote: true | |
| } | |
| } | |
| $WH.isTouch = function () { | |
| if (!$WH.wowheadRemote && typeof Platform != "undefined") { | |
| $WH.isTouch = function () { | |
| return Platform.isTouch() | |
| } |
| ### PowerShell template profile | |
| ### Version 1.03 - Tim Sneath <tim@sneath.org> | |
| ### From https://gist.github.com/timsneath/19867b12eee7fd5af2ba | |
| ### | |
| ### This file should be stored in $PROFILE.CurrentUserAllHosts | |
| ### If $PROFILE.CurrentUserAllHosts doesn't exist, you can make one with the following: | |
| ### PS> New-Item $PROFILE.CurrentUserAllHosts -ItemType File -Force | |
| ### This will create the file and the containing subdirectory if it doesn't already | |
| ### | |
| ### As a reminder, to enable unsigned script execution of local scripts on client Windows, |
