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src/main/java/org/codelibs/fess/filter/EncodingFilter.java
* Extracts and parses parameters from the request query string. * Applies the specified character encoding to decode parameter values. * * @param request the HTTP request containing the query string * @param enc the character encoding to use for decoding * @return a map of parameter names to their decoded values * @throws IOException if an error occurs during parameter parsing */Created: Tue Mar 31 13:07:34 GMT 2026 - Last Modified: Thu Jul 17 08:28:31 GMT 2025 - 9.5K bytes - Click Count (0) -
src/main/java/jcifs/internal/witness/WitnessRegisterMessage.java
for (int i = 0; i < padding; i++) { buf.enc_ndr_small(0); } } } /** * Decodes a wide string pointer from NDR format. * * @param buf the NDR buffer * @return the decoded string (or null if NULL pointer) * @throws NdrException if decoding fails */ private String decodeWideStringPointer(NdrBuffer buf) throws NdrException {
Created: Sun Apr 05 00:10:12 GMT 2026 - Last Modified: Sat Aug 23 09:06:40 GMT 2025 - 8.6K bytes - Click Count (0) -
src/test/java/jcifs/internal/smb1/trans/nt/FileNotifyInformationImplTest.java
} @Test @DisplayName("Test decode with valid single entry") void testDecodeValidSingleEntry() throws SMBProtocolDecodingException { String fileName = "document.pdf"; int action = FileNotifyInformation.FILE_ACTION_MODIFIED; byte[] buffer = createValidNotificationBuffer(fileName, action); int bytesRead = notifyInfo.decode(buffer, 0, buffer.length); assertTrue(bytesRead > 0);Created: Sun Apr 05 00:10:12 GMT 2026 - Last Modified: Thu Aug 14 05:31:44 GMT 2025 - 13.1K bytes - Click Count (0) -
docs/en/docs/tutorial/encoder.md
# JSON Compatible Encoder { #json-compatible-encoder } There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc). For example, if you need to store it in a database. For that, **FastAPI** provides a `jsonable_encoder()` function. ## Using the `jsonable_encoder` { #using-the-jsonable-encoder }Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 05 18:13:19 GMT 2026 - 1.6K bytes - Click Count (0) -
docs/fr/docs/tutorial/encoder.md
# Encodeur compatible JSON { #json-compatible-encoder } Il existe des cas où vous pourriez avoir besoin de convertir un type de données (comme un modèle Pydantic) en quelque chose de compatible avec JSON (comme un `dict`, `list`, etc.). Par exemple, si vous devez le stocker dans une base de données. Pour cela, **FastAPI** fournit une fonction `jsonable_encoder()`. ## Utiliser `jsonable_encoder` { #using-the-jsonable-encoder }Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:37:13 GMT 2026 - 1.8K bytes - Click Count (0) -
docs/ko/docs/tutorial/encoder.md
# JSON 호환 가능 인코더 { #json-compatible-encoder } 데이터 유형(예: Pydantic 모델)을 JSON과 호환되는 형태(예: `dict`, `list` 등)로 변환해야 하는 경우가 있습니다. 예를 들면, 데이터베이스에 저장해야 하는 경우입니다. 이를 위해, **FastAPI**에서는 `jsonable_encoder()` 함수를 제공합니다. ## `jsonable_encoder` 사용 { #using-the-jsonable-encoder } JSON 호환 가능 데이터만 수신하는 `fake_db` 데이터베이스가 존재한다고 가정하겠습니다. 예를 들면, `datetime` 객체는 JSON과 호환되지 않으므로 이 데이터베이스는 이를 받지 않습니다.Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 14:06:26 GMT 2026 - 1.8K bytes - Click Count (0) -
docs/pt/docs/tutorial/encoder.md
# Codificador Compatível com JSON { #json-compatible-encoder } Existem alguns casos em que você pode precisar converter um tipo de dados (como um modelo Pydantic) para algo compatível com JSON (como um `dict`, `list`, etc). Por exemplo, se você precisar armazená-lo em um banco de dados. Para isso, **FastAPI** fornece uma função `jsonable_encoder()`. ## Usando a função `jsonable_encoder` { #using-the-jsonable-encoder }Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Thu Mar 19 18:20:43 GMT 2026 - 1.7K bytes - Click Count (0) -
docs/zh/docs/tutorial/encoder.md
# JSON 兼容编码器 { #json-compatible-encoder } 在某些情况下,您可能需要将数据类型(如Pydantic模型)转换为与JSON兼容的数据类型(如`dict`、`list`等)。 比如,如果您需要将其存储在数据库中。 对于这种要求, **FastAPI**提供了`jsonable_encoder()`函数。 ## 使用`jsonable_encoder` { #using-the-jsonable-encoder } 让我们假设你有一个数据库名为`fake_db`,它只能接收与JSON兼容的数据。 例如,它不接收`datetime`这类的对象,因为这些对象与JSON不兼容。 因此,`datetime`对象必须转换为包含[ISO 格式](https://en.wikipedia.org/wiki/ISO_8601)的`str`类型对象。Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 17:06:37 GMT 2026 - 1.5K bytes - Click Count (0) -
docs/zh-hant/docs/tutorial/encoder.md
# JSON 相容編碼器 { #json-compatible-encoder } 在某些情況下,你可能需要將某種資料型別(例如 Pydantic 模型)轉換為與 JSON 相容的類型(例如 `dict`、`list` 等)。 例如,當你需要把它儲存在資料庫中。 為此,**FastAPI** 提供了 `jsonable_encoder()` 函式。 ## 使用 `jsonable_encoder` { #using-the-jsonable-encoder } 想像你有一個只接受與 JSON 相容資料的資料庫 `fake_db`。 例如,它不接受 `datetime` 物件,因為那與 JSON 不相容。 因此,必須將 `datetime` 物件轉為一個以 [ISO 格式](https://en.wikipedia.org/wiki/ISO_8601) 表示資料的 `str`。Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 17:05:38 GMT 2026 - 1.5K bytes - Click Count (0) -
docs/tr/docs/tutorial/encoder.md
# JSON Uyumlu Encoder { #json-compatible-encoder } Bazı durumlarda, bir veri tipini (örneğin bir Pydantic model) JSON ile uyumlu bir şeye (örneğin `dict`, `list` vb.) dönüştürmeniz gerekebilir. Örneğin, bunu bir veritabanında saklamanız gerekiyorsa. Bunun için **FastAPI**, `jsonable_encoder()` fonksiyonunu sağlar. ## `jsonable_encoder` Kullanımı { #using-the-jsonable-encoder }Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Mar 20 07:53:17 GMT 2026 - 1.8K bytes - Click Count (0)