byte[] nonce = context.generateNonce();
            assertNotNull(nonce, "Nonce should not be null");
            assertTrue(nonce.length > 0, "Nonce should have length > 0");

            // Convert to string for uniqueness check
            String nonceStr = Arrays.toString(nonce);
            assertFalse(nonces.contains(nonceStr), "Nonce should be unique");
            nonces.add(nonceStr);
        }

		return nil
	}

	if err = untar(ctx, hreader, putObjectTar, opts); err != nil {
		apiErr := errorCodes.ToAPIErr(s3Err)
		// If not set, convert or use BadRequest
		if s3Err == ErrNone {
			apiErr = toAPIError(ctx, err)
			if apiErr.Code == "InternalError" {
				// Convert generic internal errors to bad requests.
				apiErr = APIError{
					Code:           "BadRequest",
					Description:    err.Error(),

// Package tar implements access to tar archives.
//
// Tape archives (tar) are a file format for storing a sequence of files that
// can be read and written in a streaming manner.
// This package aims to cover most variations of the format,
// including those produced by GNU and BSD tar tools.
package tar

import (
	"errors"
	"fmt"
	"internal/godebug"
	"io/fs"
	"maps"
	"math"
	"path"
	"reflect"

This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

		return poolEndpoints, setupType, nil
	}

	uniqueArgs := set.NewStringSet()

	for poolIdx, pool := range poolsLayout {
		var endpoints Endpoints
		for setIdx, setLayout := range pool.layout {
			// Convert args to endpoints
			eps, err := NewEndpoints(setLayout...)
			if err != nil {
				return nil, setupType, config.ErrInvalidErasureEndpoints(nil).Msg(err.Error())
			}

			// Check for cross device mounts if any.

			// effectively discarded. In these cases, the offset determines
			// the CR bit.
			prog.Reg = a[1].Reg
			if a[1].Type != obj.TYPE_REG {
				// The CR bit is represented as a constant 0-31. Convert it to a Reg.
				c := p.getConstant(prog, op, &a[1])
				reg, success := ppc64.ConstantToCRbit(c)
				if !success {
					p.errorf("invalid CR bit register number %d", c)
				}
				prog.Reg = reg
			}

- Fixed admission metrics histogram bucket sizes to cover 25ms to ~2.5 seconds. ([#78608](https://github.com/kubernetes/kubernetes/pull/78608),...

            fields will be ignored at serialization time.
            """
        ),
    ] = None,
    convert_underscores: Annotated[
        bool,
        Doc(
            """
            Automatically convert underscores to hyphens in the parameter field name.

            Read more about it in the
            [FastAPI docs for Header Parameters](https://fastapi.tiangolo.com/tutorial/header-params/#automatic-conversion)

            EntityUtils.consumeQuietly(httpEntity);
        }
    }

    /**
     * Converts a robots.txt pattern to a regular expression.
     *
     * @param path The robots.txt pattern to convert
     * @return The equivalent regular expression
     */
    protected String convertRobotsTxtPatternToRegex(final String path) {
        String newPath = path.replace(".", "\\.").replace("?", "\\?").replace("*", ".*");

		defer updateTicker.Stop()
		var lastUpdate time.Time

		// We need to merge since we will get the same buckets from each pool.
		// Therefore to get the exact bucket sizes we must merge before we can convert.
		var allMerged dataUsageCache

		update := func() {
			mu.Lock()
			defer mu.Unlock()

			allMerged = dataUsageCache{Info: dataUsageCacheInfo{Name: dataUsageRoot}}
			for _, info := range results {