- Sort Score
- Num 10 results
- Language All
Results 961 - 970 of 1,045 for cython (0.04 seconds)
-
docs/tr/docs/tutorial/security/oauth2-jwt.md
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 07:53:17 GMT 2026 - 12.1K bytes - Click Count (0) -
docs/de/docs/tutorial/security/simple-oauth2.md
#### Über `**user_dict` { #about-user-dict } `UserInDB(**user_dict)` bedeutet: *Übergib die Schlüssel und Werte des `user_dict` direkt als Schlüssel-Wert-Argumente, äquivalent zu:* ```Python UserInDB( username = user_dict["username"], email = user_dict["email"], full_name = user_dict["full_name"], disabled = user_dict["disabled"], hashed_password = user_dict["hashed_password"],Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 17:58:09 GMT 2026 - 11.1K bytes - Click Count (0) -
docs/en/docs/tutorial/security/simple-oauth2.md
#### About `**user_dict` { #about-user-dict } `UserInDB(**user_dict)` means: *Pass the keys and values of the `user_dict` directly as key-value arguments, equivalent to:* ```Python UserInDB( username = user_dict["username"], email = user_dict["email"], full_name = user_dict["full_name"], disabled = user_dict["disabled"], hashed_password = user_dict["hashed_password"],Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 9.4K bytes - Click Count (0) -
docs/es/docs/tutorial/security/simple-oauth2.md
#### Sobre `**user_dict` { #about-user-dict } `UserInDB(**user_dict)` significa: *Pasa las claves y valores de `user_dict` directamente como argumentos clave-valor, equivalente a:* ```Python UserInDB( username = user_dict["username"], email = user_dict["email"], full_name = user_dict["full_name"], disabled = user_dict["disabled"], hashed_password = user_dict["hashed_password"],Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:15:55 GMT 2026 - 10.2K bytes - Click Count (0) -
docs/ja/docs/advanced/websockets.md
**FastAPI**で[WebSockets](https://developer.mozilla.org/en-US/docs/Web/API/WebSockets_API)が使用できます。 ## `websockets`のインストール { #install-websockets } [仮想環境](../virtual-environments.md)を作成し、それを有効化してから、「WebSocket」プロトコルを簡単に使えるようにするPythonライブラリの`websockets`をインストールしてください。 <div class="termy"> ```console $ pip install websockets ---> 100% ``` </div> ## WebSockets クライアント { #websockets-client } ### 本番環境 { #in-production }Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 14:07:17 GMT 2026 - 6.8K bytes - Click Count (0) -
docs/ja/docs/tutorial/stream-json-lines.md
{"name": "Plumbus", "description": "A multi-purpose household device."} {"name": "Portal Gun", "description": "A portal opening device."} {"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."} ``` これは JSON 配列(Python の list に相当)にとてもよく似ていますが、`[]` で囲まず、アイテム間の `,` もありません。その代わりに、**1 行に 1 つの JSON オブジェクト**で、改行文字で区切られます。 /// info | 情報 重要な点は、クライアントが前の行を消費している間に、アプリ側は次の行を順次生成して送れることです。 /// /// note | 技術詳細Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:55:22 GMT 2026 - 5.1K bytes - Click Count (0) -
MIGRATION.md
--output=documents.json \ --type=data ``` **Step 2: Convert to Fess Format** Transform documents to include Fess required fields. Example transformation script: ```python import json with open('documents.json', 'r') as infile, \ open('fess-documents.json', 'w') as outfile: for line in infile: doc = json.loads(line) # Transform to Fess format
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Thu Nov 06 12:40:11 GMT 2025 - 23.2K bytes - Click Count (0) -
src/main/java/org/codelibs/fess/util/ResourceUtil.java
return getPath(StringUtil.EMPTY, "js", names); } /** * Gets the path to environment-specific files directory. * * @param envName the environment name (e.g., "python", "ruby") * @param names the path components to append to the environment directory * @return the Path object pointing to the environment-specific directory */
Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Thu Jul 17 08:28:31 GMT 2025 - 14.1K bytes - Click Count (0) -
docs/zh-hant/docs/tutorial/sql-databases.md
/// 因為 SQLModel 建立在 SQLAlchemy 之上,你可以輕鬆使用 SQLAlchemy 所支援的任何資料庫(因此 SQLModel 也支援),例如: * PostgreSQL * MySQL * SQLite * Oracle * Microsoft SQL Server,等等。 在這個範例中,我們會使用 SQLite,因為它只用到單一檔案,而且 Python 內建支援。你可以直接複製這個範例並原樣執行。 之後,在你的正式環境應用中,你可能會想使用像 PostgreSQL 這類的資料庫伺服器。 /// tip | 提示
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 17:05:38 GMT 2026 - 14.8K bytes - Click Count (0) -
docs/ko/docs/tutorial/stream-json-lines.md
{"name": "Plumbus", "description": "A multi-purpose household device."} {"name": "Portal Gun", "description": "A portal opening device."} {"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."} ``` JSON 배열(Python의 list에 해당)과 매우 비슷하지만, 항목들을 `[]`로 감싸고 항목 사이에 `,`를 넣는 대신, 줄마다 하나의 JSON 객체가 있고, 새 줄 문자로 구분됩니다. /// info 핵심은 애플리케이션이 각 줄을 차례로 생성하는 동안, 클라이언트는 이전 줄을 소비할 수 있다는 점입니다. /// /// note | 기술 세부사항Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:56:39 GMT 2026 - 4.8K bytes - Click Count (0)