. "bytes"
	"syscall"
	"testing"
)

// This file tests the situation where byte operations are checking
// data very near to a page boundary. We want to make sure those
// operations do not read across the boundary and cause a page
// fault where they shouldn't.

// These tests run only on linux. The code being tested is
// not OS-specific, so it does not need to be tested on all
// operating systems.

title: "x/pkgsite: package removal request for [type path here]"
labels: ["pkgsite/package-removal"]
body:
  - type: markdown
    attributes:
      value: "Please answer these questions before submitting your issue. Thanks!"
  - type: input
    id: package-path
    attributes:
      label: "What is the path of the package that you would like to have removed?"
      description: |

Note that by allowing for this limited form of manual memory allocation
that use-after-free bugs are possible with regular Go values. This package
limits the impact of these use-after-free bugs by preventing reuse of freed
memory regions until the garbage collector is able to determine that it is
safe. Typically, a use-after-free bug will result in a fault and a helpful

tar xzf tzdata$DATA.tar.gz

# The PACKRATLIST and PACKRATDATA options are copied from Ubuntu:
# https://git.launchpad.net/ubuntu/+source/tzdata/tree/debian/rules?h=debian/sid
#
# You can see the description of these make variables in the tzdata Makefile:
# https://github.com/eggert/tz/blob/main/Makefile
if ! make CFLAGS=-DSTD_INSPIRED AWK=awk TZDIR=zoneinfo PACKRATDATA=backzone PACKRATLIST=zone.tab posix_only >make.out 2>&1; then
	cat make.out

+ We do not use Signed-off-by lines in Go. Please don't add them.
  Our Gerrit server & GitHub bots enforce CLA compliance instead.

#include "tensorflow/core/public/session.h"

namespace tensorflow {
class Device;
class DeviceMgr;
class ServerInterface;
}  // namespace tensorflow

// Internal structures used by the C API. These are likely to change and should
// not be depended on.

struct TF_SessionOptions {
  tensorflow::SessionOptions options;
};

struct TF_DeprecatedSession {
  tensorflow::Session* session;
};

 * This class provides methods to handle authentication details such as
 * authentication scope, credentials, and authentication scheme.
 *
 * <p>
 * It includes constructors to initialize these details and getter and setter
 * methods to access and modify them.
 * </p>
 *
 * <p>
 * Example usage:
 * </p>
 * <pre>
 * {@code
 * AuthScope authScope = new AuthScope("example.com", 80);

 * based on a map of target strings and their corresponding replacements. It allows
 * adding new conversion rules, setting the entire conversion map, and converting
 * URLs using these rules.</p>
 *
 * <p>The conversion is performed by iterating through the conversion map and applying
 * each replacement rule sequentially. The order of the rules in the map is preserved
 * during the conversion process.</p>

<style>
  main ul li { margin: 0.5em 0; }
</style>

## DRAFT RELEASE NOTES — Introduction to Go 1.N {#introduction}

**Go 1.N is not yet released. These are work-in-progress release notes.

   **2. Installing **TensorFlow** (TF) CPU prebuilt binaries**
   
   
   *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: