if (compareNames(dirents[i], name, iter.next()) < 0) {
                        break;
                    }
                } else if (sort == 1) {
                    if (compareSizes(dirents[i], name, iter.next()) < 0) {
                        break;
                    }
                } else if (sort == 2) {
                    if (compareTypes(dirents[i], name, iter.next()) < 0) {

                    if (compareTypes(dirents[i], name, (SmbFile) iter.next()) < 0) {
                        break;
                    }
                } else if (sort == 3 && compareDates(dirents[i], name, (SmbFile) iter.next()) < 0) {
                    break;
                }
            }
            sorted.add(j, dirents[i]);
        }
        if (maxLen > 50) {
            maxLen = 50;
        }

	}
	if err := adb("push", platformToolDir, path.Join(deviceGoroot, relToolDir)); err != nil {
		return err
	}

	// Copy all other files from GOROOT.
	dirents, err := os.ReadDir(goroot)
	if err != nil {
		return err
	}
	for _, de := range dirents {
		switch de.Name() {
		case "bin", "pkg":
			// We already created GOROOT/bin and GOROOT/pkg above; skip those.
			continue
		}

# RDMA (SMB Direct) Feature - Detailed Design Document

## 1. Overview

SMB Direct enables high-performance data transfer using Remote Direct Memory Access (RDMA) technology. This provides ultra-low latency and high bandwidth data transfer by bypassing the traditional TCP/IP stack and allowing direct memory-to-memory transfers between client and server.

## 2. Protocol Specification Reference

- **MS-SMBD**: SMB2 Remote Direct Memory Access (RDMA) Transport Protocol

Standardmäßig gibt **FastAPI** die Responses mittels `JSONResponse` zurück.

Sie können das überschreiben, indem Sie direkt eine `Response` zurückgeben, wie in [Eine Response direkt zurückgeben](response-directly.md){.internal-link target=_blank} gezeigt.

nflict=function(){return n.default.fn[T]=j,M._jQueryInterface};var q="DirectChat",O="lte.directchat",N=n.default.fn[q],P=function(){function e(e){this._element=e}return e.prototype.toggle=function(){n.default(this._element).parents(".direct-chat").first().toggleClass("direct-chat-contacts-open"),n.default(this._element).trigger(n.default.Event("toggled.lte.directchat"))},e._jQueryInterface=function(t){return this.each((function(){var a=n.default(this).data(O);a||(a=new e(n.default(this)),n.defau...

pkg syscall (freebsd-386), func Mknod(string, uint32, uint64) error
pkg syscall (freebsd-386), type Dirent struct, Fileno uint64
pkg syscall (freebsd-386), type Dirent struct, Namlen uint16
pkg syscall (freebsd-386), type Dirent struct, Off int64
pkg syscall (freebsd-386), type Dirent struct, Pad0 uint8
pkg syscall (freebsd-386), type Dirent struct, Pad1 uint16
pkg syscall (freebsd-386), type Stat_t struct, Atim_ext int32

     * The returned list contains profiles from the current project and all of its ancestors in
     * the project inheritance chain.
     *
     * @return a non-null, possibly empty list of all profiles from this project and its parents
     * @see Profile
     * @see #getDeclaredProfiles()
     */
    @Nonnull
    List<Profile> getEffectiveProfiles();

    /**
     * Returns all active profiles for the current project build.

pkg syscall (freebsd-386), const O_CLOEXEC = 0
pkg syscall (freebsd-386), func Fchflags(string, int) error
pkg syscall (freebsd-386), func Mknod(string, uint32, int) error
pkg syscall (freebsd-386), type Dirent struct, Fileno uint32
pkg syscall (freebsd-386), type Dirent struct, Namlen uint8
pkg syscall (freebsd-386), type Stat_t struct, Blksize uint32
pkg syscall (freebsd-386), type Stat_t struct, Dev uint32
pkg syscall (freebsd-386), type Stat_t struct, Gen uint32

To install the current release, which includes support for
[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
Windows)*:

```
$ pip install tensorflow
```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```