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cmd/object-api-listobjects_test.go
{Name: "Asia/India/Karnataka/Bangalore/Koramangala/pics"}, {Name: "newPrefix0"}, {Name: "newPrefix1"}, {Name: "newzen/zen/recurse/again/again/again/pics"}, {Name: "obj0"}, {Name: "obj1"}, {Name: "obj2"}, }, }, // ListObjectsResult-16. // Marker is set to "Asia/India/Karnataka/Bangalore/Koramangala/pics" in the testCase, (testCase 41). 16: { IsTruncated: false,
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 76.1K bytes - Viewed (0) -
android-test/src/androidTest/README.md
1. Add an Emulator named `pixel5`, if you don't already have one ``` $ sdkmanager --install "system-images;android-29;google_apis;x86" $ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86" ``` 2. Run an Emulator using Android Studio or from command line. ``` $ emulator -no-window -no-snapshot-load @pixel5 ```
Registered: Fri Sep 05 11:42:10 UTC 2025 - Last Modified: Fri Aug 22 08:12:58 UTC 2025 - 2.5K bytes - Viewed (0) -
cmd/data-usage_test.go
size: 200, }, } createUsageTestFiles(t, base, bucket, files) err = os.RemoveAll(filepath.Join(base, bucket, "dir1/dira/dirasub/dcfile")) if err != nil { t.Fatal(err) } // Changed dir must be picked up in this many cycles. for range dataUsageUpdateDirCycles { got, err = scanDataFolder(t.Context(), nil, &xls, got, getSize, 0, weSleep) got.Info.NextCycle++ if err != nil { t.Fatal(err) } }
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 14.6K bytes - Viewed (0) -
docs/bucket/replication/DESIGN.md
All replication failures are picked up by the scanner which runs at a one minute frequency, each time scanning up to a sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 14.7K bytes - Viewed (0) -
docs/fr/docs/async.md
Par exemple : * Traitements d'**audio** et d'**images**. * La **vision par ordinateur** : une image est composée de millions de pixels, chaque pixel ayant 3 valeurs / couleurs, les traiter tous va nécessiter d'effectuer des traitements sur chaque pixel, et de préférence tous en même temps.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 25.4K bytes - Viewed (0) -
docs/sts/ldap.md
When using this feature, do not specify a port in the `server_addr` as the port is picked up automatically from the SRV record. With the default (empty) value for `srv_record_name`, MinIO **will not** perform any SRV record request.
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 18.9K bytes - Viewed (0) -
docs/pt/docs/async.md
Por exemplo: * **Processamento de áudio** ou **imagem** * **Visão Computacional**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores / cores, processar isso normalmente exige alguma computação em todos esses pixels ao mesmo tempo
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 23.6K bytes - Viewed (0) -
docs/en/docs/async.md
Common examples of CPU bound operations are things that require complex math processing. For example: * **Audio** or **image processing**. * **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 24K bytes - Viewed (0) -
docs/es/docs/async.md
Por ejemplo: * **Procesamiento de audio** o **imágenes**. * **Visión por computadora**: una imagen está compuesta de millones de píxeles, cada píxel tiene 3 valores / colores, procesar eso normalmente requiere calcular algo en esos píxeles, todos al mismo tiempo.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 24.7K bytes - Viewed (0) -
docs/de/docs/async.md
Zum Beispiel: * **Audio-** oder **Bildbearbeitung**. * **Computer Vision**: Ein Bild besteht aus Millionen von Pixeln, jedes Pixel hat 3 Werte / Farben, die Verarbeitung erfordert normalerweise, Berechnungen mit diesen Pixeln durchzuführen, alles zur gleichen Zeit.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 26.5K bytes - Viewed (0)