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Results 1 - 2 of 2 for PERFORMANCE (0.06 sec)
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src/bytes/bytes.go
if r != utf8.RuneError { // r is 2 to 4 bytes if len(chars) == width { if chars == string(r) { return i } continue } // Use bytealg.IndexString for performance if available. if bytealg.MaxLen >= width { if bytealg.IndexString(chars, string(r)) >= 0 { return i } continue } } for _, ch := range chars { if r == ch {
Registered: Tue Sep 09 11:13:09 UTC 2025 - Last Modified: Wed Sep 03 14:04:47 UTC 2025 - 35.5K bytes - Viewed (0) -
docs/en/docs/release-notes.md
* **Safer** types. * Better **performance** and **less energy** consumption. * Better **extensibility**. * etc. ...all this while keeping the **same Python API**. In most of the cases, for simple models, you can simply upgrade the Pydantic version and get all the benefits. 🚀 In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Fri Sep 05 12:48:45 UTC 2025 - 544.1K bytes - Viewed (0)