}
                if (shortName.endsWith('.jar')) {
                    def outputDir = shortName.startsWith('gradle-') ? gradleJars : dependencies
                    def out = new File(outputDir, shortName)
                    Files.copy(zin, out.toPath())
                    zin.closeEntry()
                }
            }
        }
    }

EOF
  # Find any "Streaming build results to" lines,
  # de-duplicate,
  # and print the last word from each
  awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq
}

# Print out any ResultStore URLs for Bazel invocations' results.
# Each failed target there will have its own representation, making failures
# easier to find and read.
function resultstore_extract {
  local PYTHON_BIN XML_PATH

     */
    CLUSTER_WITNESS,

    /**
     * Individual file server witness for standalone servers
     */
    FILE_SERVER_WITNESS,

    /**
     * Scale-out file server witness for scale-out deployments
     */
    SCALE_OUT_WITNESS,

    /**
     * DFS namespace witness for distributed file system resources
     */
    DFS_WITNESS

      Headers responseHeaders = response.headers();
      for (int i = 0; i < responseHeaders.size(); i++) {
        System.out.println(responseHeaders.name(i) + ": " + responseHeaders.value(i));
      }

      System.out.println(response.body().string());
    }
  }

  public static void main(String... args) throws Exception {
    new SynchronousGet().run();
  }

    "@local_config_cuda//cuda:cusolver + "\
    "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out

  cat <<EOF
There was a path found connecting //tensorflow/tools/pip_package:wheel
to a banned CUDA dependency. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "Pip package doesn't depend on CUDA for static builds (i.e. Windows)" {
  bazel cquery \

    val requiredPlatformName: String? = null,
    val platform: Platform? = null,
  ) : BeforeEachCallback,
    AfterEachCallback,
    InvocationInterceptor {
    private val versionChecks = mutableListOf<Pair<Matcher<out Any>, Matcher<out Any>>>()

    override fun beforeEach(context: ExtensionContext) {
      setupPlatform()
    }

    override fun afterEach(context: ExtensionContext) {
      resetPlatform()
    }

        return buf;
    }

    private static int carry_add(byte[] data, byte[] out, int c, int i) {
        int ilen = data.length, olen = out.length;
        int msbit = ((ilen << 3) - 1 + ((ilen << 3) + 13) * (i / ilen) + (ilen - i % ilen << 3)) % (ilen << 3);
        int mshigh = msbit >>> 3, mslow = msbit & 7;
        int b = c + (out[i % olen] & 0xff)

  }

  /**
   * Waits until the given future {@linkplain Future#isDone is done}, invoking the garbage collector
   * as necessary to try to ensure that this will happen.
   *
   * @throws RuntimeException if timed out or interrupted while waiting
   */
  @SuppressWarnings("removal") // b/260137033
  public static void awaitDone(Future<?> future) {
    if (future.isDone()) {
      return;
    }

	buf := new(bytes.Buffer)

	// Create a new zip archive.
	w := zip.NewWriter(buf)

	// Register a custom Deflate compressor.
	w.RegisterCompressor(zip.Deflate, func(out io.Writer) (io.WriteCloser, error) {
		return flate.NewWriter(out, flate.BestCompression)
	})

	// Proceed to add files to w.

    for (int i = 0; i < expected_results.size(); ++i) {
      TF_Tensor* out = csession.output_tensor(i);
      ASSERT_TRUE(out != nullptr);
      EXPECT_EQ(TF_INT32, TF_TensorType(out));
      EXPECT_EQ(0, TF_NumDims(out));  // scalar
      ASSERT_EQ(sizeof(int32_t), TF_TensorByteSize(out));
      int32_t* output_contents = static_cast<int32_t*>(TF_TensorData(out));
      EXPECT_EQ(expected_results[i], *output_contents);
    }
  }