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// Code generated by "stringer -type=format -trimprefix=format untar.go"; DO NOT EDIT.

package cmd

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[formatUnknown-0]
	_ = x[formatGzip-1]
	_ = x[formatZstd-2]
	_ = x[formatLZ4-3]
	_ = x[formatS2-4]
	_ = x[formatBZ2-5]
}

// Unlike a [Buffer], a Reader is read-only and supports seeking.
// The zero value for Reader operates like a Reader of an empty slice.
type Reader struct {
	s        []byte
	i        int64 // current reading index
	prevRune int   // index of previous rune; or < 0
}

// Len returns the number of bytes of the unread portion of the
// slice.
func (r *Reader) Len() int {
	if r.i >= int64(len(r.s)) {
		return 0
	}

Ви можете дізнатися більше про це в [Посібнику для просунутих користувачів](../advanced/index.md){.internal-link target=_blank}.

## Деталі

Перше `"/static"` вказує на під шлях, за яким буде "під'єднано" цей новий "застосунок". Тому будь-який шлях, який починається з `"/static"`, буде оброблятися ним.

		r.recordsRead = 0
	}
	csvRecord := r.current[r.recordsRead]
	r.recordsRead++

	// If no column names are set, use _(index)
	if r.columnNames == nil {
		r.columnNames = make([]string, len(csvRecord))
		for i := range csvRecord {
			r.columnNames[i] = fmt.Sprintf("_%v", i+1)
		}
	}

	// If no index map, add that.
	if r.nameIndexMap == nil {
		r.nameIndexMap = make(map[string]int64)
		for i := range r.columnNames {

libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

func (e metaCacheEntry) isInDir(dir, separator string) bool {
	if len(dir) == 0 {
		// Root
		idx := strings.Index(e.name, separator)
		return idx == -1 || idx == len(e.name)-len(separator)
	}
	ext := strings.TrimPrefix(e.name, dir)
	if len(ext) != len(e.name) {
		idx := strings.Index(ext, separator)
		// If separator is not found or is last entry, ok.
		return idx == -1 || idx == len(ext)-len(separator)
	}

/// tip | Tipp

Um dieses Beispiel zu vereinfachen, verwenden wir einen erfundenen Header.

Aber in der Praxis werden Sie mit den integrierten [Sicherheits-Werkzeugen](security/index.md){.internal-link target=_blank} bessere Ergebnisse erzielen.

///

## Ein weiteres Modul mit `APIRouter` { #another-module-with-apirouter }

Bu, bir `APIRouter` kullanmaktan farklıdır çünkü bağlanmış bir uygulama tamamen bağımsızdır. Ana uygulamanızın OpenAPI ve dokümanlar, bağlanmış uygulamadan hiçbir şey içermez, vb.

[Advanced User Guide](../advanced/index.md){.internal-link target=_blank} bölümünde daha fazla bilgi edinebilirsiniz.

## Detaylar