// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// This input was created by taking the instruction productions in
// the old assembler's (6a's) grammar and hand-writing complete
// instructions for each rule, to guarantee we cover the same space.

#include "../../../../../runtime/textflag.h"

TEXT	foo(SB), DUPOK|NOSPLIT, $0

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

See the License for the specific language governing permissions and
limitations under the License."""
}

tasks.idea {
    doFirst { throw RuntimeException("To import in IntelliJ, please follow the instructions here: https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md#intellij") }
}

if (idea.project != null) { // may be null during script compilation
    idea {
        module {

//go:build ignore

// detect attempts to autodetect the correct
// values of the environment variables
// used by go_ios_exec.
// detect shells out to ideviceinfo, a third party program that can
// be obtained by following the instructions at
// https://github.com/libimobiledevice/libimobiledevice.
package main

import (
	"bytes"
	"crypto/x509"
	"fmt"
	"os"
	"os/exec"
	"strings"
)

func main() {

			</plugin>
			<plugin>
				<groupId>org.apache.felix</groupId>
				<artifactId>maven-bundle-plugin</artifactId>
				<version>5.1.9</version>
				<extensions>true</extensions>

				<configuration>
					<instructions>
						<Bundle-Version>${osgi.version}</Bundle-Version>
						<Bundle-License>LGPL</Bundle-License>
						<Bundle-Vendor>CodeLibs</Bundle-Vendor>
						<Bundle-SymbolicName>org.codelibs.jcifs</Bundle-SymbolicName>

            <phase>process-classes</phase>
            <goals>
              <goal>manifest</goal>
            </goals>
          </execution>
        </executions>
        <configuration>
          <instructions>
            <Export-Package>
              !com.google.common.base.internal,
              !com.google.common.util.concurrent.internal,
              com.google.common.*
            </Export-Package>

import okhttp3.internal.platform.Platform

/**
 * Example of using a hardware key to perform client auth.
 * Prefer recent JDK builds, and results are temperamental to slight environment changes.
 * Different instructions and configuration may be required for other hardware devices.
 *
 * Using a yubikey device as a SSL key store.
 * https://lauri.võsandi.com/2017/03/yubikey-for-ssh-auth.html
 *
 * Using PKCS11 support in the JDK.

    bazel test $TFCI_BAZEL_COMMON_ARGS //tensorflow/tools/api/tests:api_compatibility_test
    echo "You have to re-generate the TF API goldens and have the API changes reviewed."
    echo "Look at the instructions for ':api_compatibility_test -- --update_goldens=True'"
}

teardown_file() {
    bazel shutdown

# Déployer avec Docker

Dans cette section, vous verrez des instructions et des liens vers des guides pour savoir comment :

* Faire de votre application **FastAPI** une image/conteneur Docker avec une performance maximale. En environ **5 min**.
* (Optionnellement) comprendre ce que vous, en tant que développeur, devez savoir sur HTTPS.
* Configurer un cluster en mode Docker Swarm avec HTTPS automatique, même sur un simple serveur à 5 dollars US/mois. En environ **20 min**.

	XOR	$65536, R4		// 1e02001484f81500
	XOR	$4096, R4		// 3e00001484f81500
	XOR	$-1, R4, R5		// 1efcbf0285f81500
	XOR	$-1, R4			// 1efcbf0284f81500
	MOVH	R4, R5			// 85c04000a5c04800

	// relocation instructions
	MOVW	R4, name(SB)		// 1e00001ac4038029
	MOVWU	R4, name(SB)		// 1e00001ac4038029
	MOVV	R4, name(SB)		// 1e00001ac403c029
	MOVB	R4, name(SB)		// 1e00001ac4030029
	MOVBU	R4, name(SB)		// 1e00001ac4030029