## `WSGIMiddleware` Kullanımı

`WSGIMiddleware`'ı projenize dahil edin.

Ardından WSGI (örneğin Flask) uygulamanızı middleware ile sarmalayın.

Son olarak da bir yol altında bağlama işlemini gerçekleştirin.

```Python hl_lines="2-3  23"
{!../../docs_src/wsgi/tutorial001.py!}
```

## Kontrol Edelim

acaba
altmış
altı
ama
ancak
arada
aslında
ayrıca
bana
bazı
belki
ben
benden
beni
benim
beri
beş
bile
bin
bir
birçok
biri
birkaç
birkez
birşey
birşeyi
biz
bize
bizden
bizi
bizim
böyle
böylece
bu
buna
bunda
bundan
bunlar
bunları
bunların
bunu
bunun
burada
çok

    // low tolerances
    enable_tensor_float_32_execution(false);
  }

  AbstractContextPtr ctx_;

 public:
  bool UseMlir() const { return strcmp(std::get<0>(GetParam()), "mlir") == 0; }
  bool UseFunction() const { return std::get<2>(GetParam()); }
};

TEST_P(GradientCheckerTest, TestMatMul) {
  float A_vals[] = {1.0f, 2.0f, 3.0f, 4.0f};
  int64_t A_dims[] = {2, 2};

  # grep patterns for packages whose dependencies can be ignored
  cat > $BATS_TEST_TMPDIR/ignore_deps_for_these_packages <<EOF
//tensorflow/lite
//tensorflow/compiler/mlir/lite
//tensorflow/compiler/mlir/tfrt
//tensorflow/core/runtime_fallback
//tensorflow/core/tfrt
//tensorflow/python/kernel_tests/signal
//tensorflow/examples
//tensorflow/tools/android
//tensorflow/python/eager/benchmarks
EOF

                 $textArea.val("");
                 $textArea.focus();
                 $textArea.val(strTmp);
                 } */
            }
        });
        $(this).blur(function(){
            if(!isMouseHover) {
                suggestor.fixList();
            }
        });

        //テキストエリア監視
        setInterval( function() {
            if(interval < 5) {

  TF_DeleteExecutionContext(graph_ctx);
}

// The above tests are run for a combination of:
// - graphdef and MLIR tracing engine
INSTANTIATE_TEST_SUITE_P(Tracing, UnifiedCAPI,
                         ::testing::Combine(::testing::Values("graphdef",
                                                              "mlir"),
                                            ::testing::Values(false)));

}  // namespace

        /*			if($boxElement.css("display") !== "none") {
				var strTmp = $textArea.val();
				$textArea.val("");
				$textArea.focus();
				$textArea.val(strTmp);
			} */
      }
    });
    $(this).blur(function() {
      if (!isMouseHover) {
        suggestor.fixList();
      }
    });

    //monitoring input field
    setInterval(function() {
      if (interval < 5) {

  virtual absl::Status RegisterCustomDevice(
      const string& name, std::unique_ptr<CustomDevice> device) = 0;

  // Return FunctionLibraryDefinition. Transformations need to use it to use it
  // to invoke MLIR compiler passes.
  virtual FunctionLibraryDefinition* FuncLibDef() = 0;

  // Resets the global rendezvous used for functions.
  virtual void ResetGlobalRendezvousForFunction() = 0;

        # copybara:uncomment_begin(google-only)
        # "//tensorflow/cc/experimental/tf2:__pkg__",
        # "//tensorflow/cc/experimental/tf2:__subpackages__",
        # copybara:uncomment_end
        "//tensorflow/compiler/mlir/tensorflow/c:__subpackages__",
        "//tensorflow/core/transforms:__subpackages__",
    ],
    deps = [
        ":c_api_macros_hdrs",
        "@local_tsl//tsl/platform:status",

*   Fixes a null dereference on MLIR on empty function attributes ([CVE-2022-36011](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36011))
*   Fixes an assertion failure on MLIR empty edge names ([CVE-2022-36012](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-36012))