Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 2 of 2 for PERFORMANCE (0.06 sec)

  1. 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)
  2. 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)
Back to top