| 分類 | 使用する命名 | 用途・意味 | 例 | 禁止例 |
|---|---|---|---|---|
| 作成 | Create / Add | 新規生成 | CreateOrder() |
BuildOrder() |
| 取得 | Get | 必ず取得 | GetUser() |
FetchUserData() |
| 検索 | Find | 見つからない可能性あり | FindUserById() |
SearchUser() |
| 条件検索 | Search | 複数条件検索 | SearchProducts() |
FindAll() |
| 更新 | Update | 更新処理 | UpdateProfile() |
SaveProfile() |
| 削除 | Delete / Remove | 削除処理 | DeleteSession() |
ClearSession() |
Discover gists
souri-t
/ namingguide.md
Created
May 25, 2026 17:34
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| alias ll='ls -alh' | |
| alias gs='git status' | |
| alias gp='git pull --rebase' |
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| #!/bin/bash | |
| # ═══════════════════════════════════════════════════════════════ | |
| # ComfyUI Auto-Setup Script for RunPod | |
| # Installs custom nodes + downloads models on every pod start | |
| # ═══════════════════════════════════════════════════════════════ | |
| set -e | |
| COMFY_DIR="/workspace/ComfyUI" | |
| NODES_DIR="$COMFY_DIR/custom_nodes" |
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| Pass;Result;Profit;Expected Payoff;Profit Factor;Recovery Factor;Sharpe Ratio;Custom;Equity DD %;Trades;Koff_;PeriodBar_ | |
| 312;1016,08;16,08;0,89333;15,48649;2,30373;8,44041;0;0,70;18;0,96;26 | |
| 120;1015,97;15,97;0,61423;2,83353;3,70534;16,02373;0;0,43;26;0,9;17 | |
| 333;1015,93;15,93;0,88500;9,65761;2,67731;8,39483;0;0,60;18;0,96;27 | |
| 82;1014,46;14,46;0,65727;2,80075;2,05106;16,37114;0;0,71;22;0,98;15 | |
| 40;1014,17;14,17;0,64409;2,56402;2,02718;20,20852;0;0,70;22;0,98;13 | |
| 99;1013,97;13,97;0,46567;1,79195;1,41972;7,76755;0;0,97;30;0,9;16 | |
| 61;1013,66;13,66;0,85375;3,47913;2,04491;17,42471;0;0,67;16;0,98;14 | |
| 291;1013,49;13,49;0,84313;3,98451;2,01946;9,19886;0;0,67;16;0,96;25 |
如果你最近在关注值得体验的优质网站，不妨看看九游娱乐。这是一个值得关注的网站，页面简洁，信息清晰，使用起来更轻松。无论是想了解更多内容，还是日常浏览，九游娱乐都能带来不错的体验。想进一步查看，也可以直接访问 https://tech-jiuyou.com.cn/ ，感受九游娱乐带来的便捷与流畅。
namthgil
/ batadmin-features.md
Created
May 25, 2026 17:33
BåtAdmin (VesselMaster) is a Norwegian boat management SaaS for recreational vessel owners. Self-hosted on EU infrastructure (Hetzner Germany), fully containerized.
- Auth: Signup, login, password reset, session management via Supabase Auth
- Onboarding: First-time user setup flow
- Dashboard: Overview with live marine weather widget (Oslofjorden via met.no)
- Boat Management: Add/list/view boats, per-boat telemetry view
HugsLibRecordKeeper
/ output_log.txt
Created
May 25, 2026 17:33
Rimworld output log published using HugsLib
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| Log uploaded on Monday, May 25, 2026, 8:32:59 PM | |
| Loaded mods: | |
| Harmony(brrainz.harmony)[mv:2.4.2.0]: 0Harmony(2.4.1), HarmonyMod(2.4.2) | |
| RimWorldRu(Elengal.RimWorldRu): 0Harmony(2.4.1), Newtonsoft.Json(av:13.0.0,fv:13.0.4.30916), RuMod(1.0.0) | |
| Core(Ludeon.RimWorld): (no assemblies) | |
| Royalty(Ludeon.RimWorld.Royalty): (no assemblies) | |
| Ideology(Ludeon.RimWorld.Ideology): (no assemblies) | |
| Biotech(Ludeon.RimWorld.Biotech): (no assemblies) | |
| Anomaly(Ludeon.RimWorld.Anomaly): (no assemblies) | |
| Odyssey(Ludeon.RimWorld.Odyssey): (no assemblies) |
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| #!/bin/bash | |
| set -e | |
| PORTAINER_CONTAINER="portainer" | |
| PORTAINER_IMAGE="portainer/portainer-ce:latest" | |
| APP_DIR="$HOME/prikaway-checkout" | |
| echo "===================================" | |
| echo " Prikaway Checkout — Bootstrap" | |
| echo "===================================" |
enock04
/ agrisense-mockups.html
Created
May 25, 2026 17:32
AgriSense Mobile App Mockups — Rwanda Agricultural Platform
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>AgriSense – Mobile App Mockups</title> | |
| <style> | |
| /* ========================================================= | |
| AGRISENSE DESIGN TOKENS | |
| ========================================================= */ |
abhitopia
/ llm_and_pos_encoding.md
Created
May 25, 2026 17:32
Q: Explain the "Context Vector Bottleneck" in traditional RNN-based Seq2Seq models. Architecturally, how does Attention solve this?
- Answer: Traditional Encoder-Decoder models force the entire input sequence to be compressed into a single, fixed-capacity vector (the final hidden state). For long sequences, this creates a bottleneck, causing the model to forget early tokens.
- Attention solves this by passing all Encoder hidden states to the Decoder. The Decoder dynamically calculates a weighted combination of these states at every single generation step, directly looking at all input tokens and destroying the fixed-length bottleneck.