builder.WriteByte(',')
				}
				builder.WriteQuoted(column)
			}
			builder.WriteString(`) `)
		}

		if len(onConflict.TargetWhere.Exprs) > 0 {
			builder.WriteString(" WHERE ")
			onConflict.TargetWhere.Build(builder)
			builder.WriteByte(' ')
		}
	}

	if onConflict.DoNothing {
		builder.WriteString("DO NOTHING")
	} else {
		builder.WriteString("DO UPDATE SET ")
		onConflict.DoUpdates.Build(builder)
	}

                    .hasArg()
                    .build());
            options.addOption(Option.builder(LOG_FILE)
                    .longOpt("log-file")
                    .hasArg()
                    .desc("Log file where all build output will go (disables output color)")
                    .build());
            options.addOption(Option.builder()

              continue;
            }
            builder.add(Range.range(i, lowerType, j, upperType));
          }
        }
      }
    }
    RANGES = builder.build();
  }

  public void testBuilderRejectsEmptyRanges() {
    for (int i = MIN_BOUND; i <= MAX_BOUND; i++) {
      final int ii = i;
      ImmutableRangeMap.Builder<Integer, Integer> builder = ImmutableRangeMap.builder();

between the runs. All the python-agnostic parts of the build cache from the
previous build will be preserved and reused for the subsequent builds.

### Specifying Python dependencies

During bazel build all TensorFlow's Python dependencies are pinned to their
specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies

        .serialNumber(3L)
        .commonName(server.hostName)
        .build()
    val certificatePinner =
      CertificatePinner.Builder()
        .add(server.hostName, pin(rootCa.certificate))
        .build()
    val handshakeCertificates =
      HandshakeCertificates.Builder()
        .addTrustedCertificate(rootCa.certificate)
        .build()
    val client =
      clientTestRule.newClientBuilder()

        id: tf-version
      -
        name: Build and push
        id: docker_build
        uses: docker/build-push-action@4f58ea79222b3b9dc2c8bbdd6debcef730109a75 # v6.9.0
        with:
          push: true
          context: ./tensorflow/tools/tf_sig_build_dockerfiles
          target: devel
          build-args: |
            PYTHON_VERSION=${{ matrix.python-version }}

One or more test dependencies are not in the pip package.
If these test dependencies need to be in the TensorFlow pip package, please
add them to //tensorflow/tools/pip_package/BUILD. Otherwise, add the no_pip tag
to the test, or change code_check_full.bats in the SIG Build repository. That's
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/tf_sig_build_dockerfiles/devel.usertools/code_check_full.bats
Here are the affected tests:

  }

  @Test
  fun proxy() {
    server.enqueue(MockResponse.Builder().body("abc").build())
    server.enqueue(MockResponse.Builder().body("def").build())
    val client =
      clientTestRule.newClientBuilder()
        .proxy(socksProxy.proxy())
        .build()
    val request1 = Request.Builder().url(server.url("/")).build()
    val response1 = client.newCall(request1).execute()

    Escapers.Builder builder = Escapers.builder();
    builder.setSafeRange('a', 'z');
    builder.setUnsafeReplacement("X");
    assertEquals("XheXXuickXXrownXXoxX", builder.build().escape("The Quick Brown Fox!"));
    // Explicit replacements take priority over unsafe characters.
    builder.addEscape(' ', "_");
    builder.addEscape('!', "_");

    server.enqueue(
      MockResponse.Builder()
        .code(301)
        .addHeader("Location", "/foo")
        .build(),
    )
    server.enqueue(
      MockResponse.Builder()
        .body("ABC")
        .build(),
    )
    val call =
      client.newCall(
        Request.Builder()
          .url(server.url("/"))
          .build(),
      )
    val response = call.execute()