func TestCheckURL(t *testing.T) {
	testCases := []struct {
		urlStr     string
		shouldPass bool
	}{
		{"", false},
		{":", false},
		{"http://localhost/", true},
		{"http://127.0.0.1/", true},
		{"proto://myhostname/path", true},
	}

	// Validates fetching local address.
	for i, testCase := range testCases {
		_, err := checkURL(testCase.urlStr)
		if testCase.shouldPass && err != nil {

  TF_Buffer* null_result =
      TFE_GetServerDef(malformed_text_proto.c_str(), status);
  EXPECT_NE(TF_GetCode(status), TF_OK);
  EXPECT_TRUE(absl::StrContains(TF_Message(status),
                                "Invalid text proto for ServerDef"));
  EXPECT_EQ(null_result, nullptr);

  // Cleanup
  TF_DeleteBuffer(result);
  TF_DeleteStatus(status);
}

TEST(CAPI_EXPERIMENTAL, IsStateful) {

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could

	rc, ok := body.(io.ReadCloser)
	if !ok && body != nil {
		rc = io.NopCloser(body)
	}
	req := &http.Request{
		Method:     method,
		URL:        &u,
		Proto:      "HTTP/1.1",
		ProtoMajor: 1,
		ProtoMinor: 1,
		Header:     make(http.Header),
		Body:       rc,
		Host:       u.Host,
	}
	req = req.WithContext(ctx)
	if body != nil {
		switch v := body.(type) {

com/dns-srv-records-for-ldap/) for high-availability of the directory service. To use this to find LDAP servers to connect to, an LDAP client makes a DNS SRV record request to the DNS service on a domain that looks like `_service._proto.example.com`. For LDAP the `proto` value is always `tcp`, and `service` is usually `ldap` or `ldaps`.

To enable MinIO to use the SRV records, specify the `srv_record_name` config parameter (or equivalently the `MINIO_IDENTITY_LDAP_SRV_RECORD_NAME` environment...

             {});
}

TEST_F(CApiFunctionTest, ImportFunctionDef_InvalidProto) {
  // Invalid protobuf data (protos cannot start with 4 bytes of zeros)
  char proto[] = {0x0, 0x0, 0x0, 0x0};
  func_ = TF_FunctionImportFunctionDef(proto, 4, s_);
  EXPECT_TRUE(func_ == nullptr);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));

  public static final String X_FORWARDED_FOR = "X-Forwarded-For";

  /** The HTTP {@code X-Forwarded-Proto} header field name. */
  public static final String X_FORWARDED_PROTO = "X-Forwarded-Proto";

  /**
   * The HTTP <a
   * href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/X-Forwarded-Host">{@code
   * X-Forwarded-Host}</a> header field name.

    BoostedTreesRegressor.
*   Add 3rd generation pipeline config for Cloud TPUs which improves performance
    and usability.
*   `tf.contrib.bayesflow` is moving out to it's own repo.
*   Added `tf.contrib.{proto,rpc}` to allow generic proto parsing and RPC
    communication<sup>[1](#rpc-issue)</sup>.

## Bug Fixes and Other Changes

*   `tf.data`:
    *   Add `tf.contrib.data.prefetch_to_device`, which enables prefetching

- cloud.google.com/go: v0.112.0
- github.com/BurntSushi/toml: [v0.3.1](https://github.com/BurntSushi/toml/tree/v0.3.1)
- github.com/census-instrumentation/opencensus-proto: [v0.4.1](https://github.com/census-instrumentation/opencensus-proto/tree/v0.4.1)
- github.com/client9/misspell: [v0.3.4](https://github.com/client9/misspell/tree/v0.3.4)
- github.com/cncf/udpa/go: [269d4d4](https://github.com/cncf/udpa/tree/269d4d4)

- github.com/envoyproxy/go-control-plane: [v0.11.1 → v0.12.0](https://github.com/envoyproxy/go-control-plane/compare/v0.11.1...v0.12.0)
- github.com/envoyproxy/protoc-gen-validate: [v1.0.2 → v1.0.4](https://github.com/envoyproxy/protoc-gen-validate/compare/v1.0.2...v1.0.4)
- github.com/felixge/httpsnoop: [v1.0.3 → v1.0.4](https://github.com/felixge/httpsnoop/compare/v1.0.3...v1.0.4)