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cmd/xl-storage.go
smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs // For hardrives it is possible to set this to a lower value to avoid any // spike in latency. But currently we are simply keeping it optimal for SSDs. // bigFileThreshold is the point where we add readahead to put operations. bigFileThreshold = 128 * humanize.MiByte // XL metadata file carries per object metadata. xlStorageFormatFile = "xl.meta"
Created: Sun Dec 28 19:28:13 GMT 2025 - Last Modified: Sun Sep 28 20:59:21 GMT 2025 - 91.7K bytes - Click Count (0) -
CHANGELOG/CHANGELOG-1.27.md
pods` preferred inter-pod affinities if the incoming pod has no preferred inter-pod affinities. This option can be used as an optimization for higher scheduling throughput (at the cost of an occasional pod being scheduled non-optimally/violating existing pods preferred inter-pod affinities). To enable this scheduler option, set the
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Wed Jul 17 07:48:22 GMT 2024 - 466.3K bytes - Click Count (2) -
CHANGELOG/CHANGELOG-1.28.md
- Updated static pods are restarted 2s faster by correcting a safe but non-optimal ordering bug. ([#116690](https://github.com/kubernetes/kubernetes/pull/116690), [@smarterclayton](https://github.com/smarterclayton)) [SIG Node]
Created: Fri Dec 26 09:05:12 GMT 2025 - Last Modified: Fri Sep 05 03:47:18 GMT 2025 - 456.9K bytes - Click Count (1) -
RELEASE.md
* Added APIs for switching between interactive logging and absl logging. By default, Keras always writes the logs to stdout. However, this is not optimal in a non-interactive environment, where you don't have access to stdout, but can only view the logs. You can use `tf.keras.utils.disable_interactive_logging()` to write the logs to ABSLCreated: Tue Dec 30 12:39:10 GMT 2025 - Last Modified: Tue Oct 28 22:27:41 GMT 2025 - 740.4K bytes - Click Count (3) -
lib/fips140/v1.0.0-c2097c7c.zip
hash.Size()+1] db := em[hash.Size()+1:] mgf1XOR(seed, mgfHash, db) mgf1XOR(db, mgfHash, seed) lHash2 := db[0:hash.Size()] // We have to validate the plaintext in constant time in order to avoid // attacks like: J. Manger. A Chosen Ciphertext Attack on RSA Optimal // Asymmetric Encryption Padding (OAEP) as Standardized in PKCS #1 // v2.0. In J. Kilian, editor, Advances in Cryptology. lHash2Good := subtle.ConstantTimeCompare(lHash, lHash2) // The remainder of the plaintext must be zero or more 0x00, followed...
Created: Tue Dec 30 11:13:12 GMT 2025 - Last Modified: Thu Sep 25 19:53:19 GMT 2025 - 642.7K bytes - Click Count (0) -
lib/fips140/v1.1.0-rc1.zip
hash.Size()+1] db := em[hash.Size()+1:] mgf1XOR(seed, mgfHash, db) mgf1XOR(db, mgfHash, seed) lHash2 := db[0:hash.Size()] // We have to validate the plaintext in constant time in order to avoid // attacks like: J. Manger. A Chosen Ciphertext Attack on RSA Optimal // Asymmetric Encryption Padding (OAEP) as Standardized in PKCS #1 // v2.0. In J. Kilian, editor, Advances in Cryptology. lHash2Good := subtle.ConstantTimeCompare(lHash, lHash2) // The remainder of the plaintext must be zero or more 0x00, followed...
Created: Tue Dec 30 11:13:12 GMT 2025 - Last Modified: Thu Dec 11 16:27:41 GMT 2025 - 663K bytes - Click Count (0)