- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 80 for Brands (0.04 sec)
-
docs/en/overrides/main.html
{% include ".icons/fontawesome/brands/x-twitter.svg" %} </span> Follow <strong>@fastapi</strong> on <strong>X (Twitter)</strong> to stay updated </a> </div> <div class="item"> <a class="announce-link" href="https://www.linkedin.com/company/fastapi" target="_blank"> <span class="twemoji linkedin"> {% include ".icons/fontawesome/brands/linkedin.svg" %}
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 15:19:49 UTC 2025 - 4.5K bytes - Viewed (0) -
docs/en/mkdocs.yml
mdx_include: null markdown_include_variants: null extra: social: - icon: fontawesome/brands/github-alt link: https://github.com/fastapi/fastapi - icon: fontawesome/brands/discord link: https://discord.gg/VQjSZaeJmf - icon: fontawesome/brands/twitter link: https://x.com/fastapi - icon: fontawesome/brands/linkedin link: https://www.linkedin.com/company/fastapi - icon: fontawesome/solid/globe
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 10:49:48 UTC 2025 - 9.8K bytes - Viewed (0) -
docs/sts/client-grants.md
## Introduction Returns a set of temporary security credentials for applications/clients who have been authenticated through client credential grants provided by identity provider. Example providers include KeyCloak, Okta etc.
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 7.2K bytes - Viewed (0) -
cmd/test-utils_test.go
func getRandomRange(minN, maxN int, seed int64) int { // special value -1 means no explicit seeding. if seed == -1 { return rand.New(rand.NewSource(time.Now().UnixNano())).Intn(maxN-minN) + minN } return rand.New(rand.NewSource(seed)).Intn(maxN-minN) + minN } // Randomizes the order of bytes in the byte array // using Knuth Fisher-Yates shuffle algorithm.
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Fri Aug 29 02:39:48 UTC 2025 - 77K bytes - Viewed (0) -
docs/sts/wso2.md
} ``` These credentials can now be used to perform MinIO API operations, these credentials automatically expire in 1hr. To understand more about credential expiry duration and client grants STS API read further [here](https://github.com/minio/minio/blob/master/docs/sts/client-grants.md). ## Explore Further - [MinIO STS Quickstart Guide](https://docs.min.io/community/minio-object-store/developers/security-token-service.html)
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 8.7K bytes - Viewed (0) -
src/test/java/jcifs/smb1/smb1/Trans2QueryPathInformationTest.java
// When Trans2QueryPathInformation trans = new Trans2QueryPathInformation(filename, informationLevel); // Then assertEquals(filename, trans.path, "The path should be set correctly."); assertEquals(ServerMessageBlock.SMB_COM_TRANSACTION2, trans.command, "The command should be SMB_COM_TRANSACTION2."); assertEquals(SmbComTransaction.TRANS2_QUERY_PATH_INFORMATION, trans.subCommand,
Registered: Sun Sep 07 00:10:21 UTC 2025 - Last Modified: Thu Aug 14 05:31:44 UTC 2025 - 5.8K bytes - Viewed (0) -
docs/sts/etcd.md
### 4. Test with MinIO STS API Once etcd is configured, **any STS configuration** will work including Client Grants, Web Identity or AD/LDAP.
Registered: Sun Sep 07 19:28:11 UTC 2025 - Last Modified: Tue Aug 12 18:20:36 UTC 2025 - 3.5K bytes - Viewed (0) -
src/test/java/jcifs/internal/smb1/trans/TransTransactNamedPipeTest.java
// Act TransTransactNamedPipe trans = new TransTransactNamedPipe(mockConfig, TEST_FID, TEST_DATA, TEST_OFFSET, TEST_LENGTH); // Assert assertNotNull(trans); assertEquals(0, trans.maxParameterCount); assertEquals(0xFFFF, trans.maxDataCount); assertEquals(0x00, trans.maxSetupCount); assertEquals(2, trans.setupCount); assertEquals("\\PIPE\\", trans.name); }
Registered: Sun Sep 07 00:10:21 UTC 2025 - Last Modified: Thu Aug 14 05:31:44 UTC 2025 - 9.7K bytes - Viewed (0) -
src/main/java/jcifs/smb1/smb1/Dfs.java
Registered: Sun Sep 07 00:10:21 UTC 2025 - Last Modified: Sat Aug 16 01:32:48 UTC 2025 - 14.2K bytes - Viewed (0) -
docs/pt/docs/async.md
* **Machine Learning**: Normalmente exige muita multiplicação de matrizes e vetores. Pense numa grande planilha com números e em multiplicar todos eles juntos e ao mesmo tempo. * **Deep Learning**: Esse é um subcampo do Machine Learning, então, o mesmo se aplica. A diferença é que não há apenas uma grande planilha com números para multiplicar, mas um grande conjunto delas, e em muitos casos, você utiliza um processador especial para construir e/ou usar esses modelos.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 23.6K bytes - Viewed (0)