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internal/disk/fdatasync_linux.go
// unless that metadata is needed in order to allow a subsequent data retrieval // to be correctly handled. For example, changes to st_atime or st_mtime // (respectively, time of last access and time of last modification; see inode(7)) // do not require flushing because they are not necessary for a subsequent data // read to be handled correctly. On the other hand, a change to the file size
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Wed Sep 29 23:40:28 UTC 2021 - 1.8K bytes - Viewed (0) -
okhttp-tls/src/main/kotlin/okhttp3/tls/Certificates.kt
append("-----BEGIN CERTIFICATE-----\n") encodeBase64Lines(encoded.toByteString()) append("-----END CERTIFICATE-----\n") } } internal fun StringBuilder.encodeBase64Lines(data: ByteString) { val base64 = data.base64() for (i in 0 until base64.length step 64) { append(base64, i, minOf(i + 64, base64.length)).append('\n') }
Registered: Fri Nov 01 11:42:11 UTC 2024 - Last Modified: Mon Jan 08 01:13:22 UTC 2024 - 2.8K bytes - Viewed (0) -
docs/en/docs/python-types.md
You declare the "shape" of the data as classes with attributes. And each attribute has a type. Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data. And you get all the editor support with that resulting object.
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sat Oct 26 11:47:53 UTC 2024 - 16.7K bytes - Viewed (0) -
internal/event/target/redis.go
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Fri Sep 06 23:06:30 UTC 2024 - 9.1K bytes - Viewed (0) -
cmd/admin-handlers-users.go
writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(s3Err), r.URL) return } data, err := io.ReadAll(r.Body) if err != nil { writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInvalidRequest), r.URL) return } reader := bytes.NewReader(data) zr, err := zip.NewReader(reader, int64(len(data))) if err != nil { writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrInvalidRequest), r.URL)
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Oct 03 23:11:02 UTC 2024 - 85.1K bytes - Viewed (0) -
src/main/java/jcifs/internal/smb2/ioctl/Smb2IoctlResponse.java
/** * @param responseType * @return decoded data * @throws SmbException */ @SuppressWarnings ( "unchecked" ) public <T extends Decodable> T getOutputData ( Class<T> responseType ) throws SmbException { Decodable out = getOutputData(); if ( out == null ) { throw new SmbException("Failed to decode output data"); }
Registered: Sun Nov 03 00:10:13 UTC 2024 - Last Modified: Sun Aug 05 09:45:59 UTC 2018 - 7.4K bytes - Viewed (0) -
docs/bucket/lifecycle/DESIGN.md
lifecycle transition rules and becomes eligible for tiering. MinIO scanner (which runs at one minute intervals, each time scanning one sixteenth of the namespace), picks up the object for tiering. The data is moved to the remote tier in entirety, leaving only the object metadata on MinIO. The data on the backend is stored under the `bucket/prefix` specified in the tier configuration with a custom name derived from a randomly generated uuid - e.g. `0b/c4/0bc4fab7-2daf-4d2f-8e39-5c6c6fb7e2d3`....
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Thu Sep 29 04:28:45 UTC 2022 - 4.3K bytes - Viewed (0) -
okhttp/src/main/kotlin/okhttp3/internal/ws/WebSocketProtocol.kt
object WebSocketProtocol { /** Magic value which must be appended to the key in a response header. */ internal const val ACCEPT_MAGIC = "258EAFA5-E914-47DA-95CA-C5AB0DC85B11" /* Each frame starts with two bytes of data. 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 +-+-+-+-+-------+ +-+-------------+ |F|R|R|R| OP | |M| LENGTH | |I|S|S|S| CODE | |A| | |N|V|V|V| | |S| |
Registered: Fri Nov 01 11:42:11 UTC 2024 - Last Modified: Mon Jan 08 01:13:22 UTC 2024 - 4.8K bytes - Viewed (0) -
docs/debugging/inspect/export.go
Registered: Sun Nov 03 19:28:11 UTC 2024 - Last Modified: Tue Nov 08 15:58:02 UTC 2022 - 9.1K bytes - Viewed (0) -
docs/tr/docs/features.md
* Doğrulayıcılar en kompleks data şemalarının bile temiz ve kolay bir şekilde tanımlanmasına izin veriyor, ve hepsi JSON şeması olarak dokümante ediliyor * Pydantic, JSON objen ne kadar derin (nested) olursa olsun doğrulamasını ve gösterimini yapıyor * **Genişletilebilir**:
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Tue Aug 06 04:48:30 UTC 2024 - 11.1K bytes - Viewed (0)