package csv

import (
	"bytes"
	"io"
)

// recordTransform will convert records to always have newline records.
type recordTransform struct {
	reader io.Reader
	// recordDelimiter can be up to 2 characters.
	recordDelimiter []byte
	oneByte         []byte
	useOneByte      bool
}

func (rr *recordTransform) Read(p []byte) (n int, err error) {
	if rr.useOneByte {
		p[0] = rr.oneByte[0]

fi
/setup.packages.sh pythons.txt

# Re-link pyconfig.h from aarch64-linux-gnu into the devtoolset directory
# for any Python version present
pushd /usr/include/aarch64-linux-gnu
for f in $(ls | grep python); do
  # set up symlink for devtoolset-10
  rm -f /dt10/usr/include/aarch64-linux-gnu/$f
  ln -s /usr/include/aarch64-linux-gnu/$f /dt10/usr/include/aarch64-linux-gnu/$f
done
popd

# Python 3.10 include headers fix:

import junit.framework.TestCase;

/**
 * Since annotations have some reusability issues that force copy and paste all over the place, it's
 * worth having a test to ensure that all our Feature enums have their annotations correctly set up.
 *
 * @author George van den Driessche
 */
public class FeatureEnumTest extends TestCase {
  private static void assertGoodTesterAnnotation(Class<? extends Annotation> annotationClass) {
    assertNotNull(

   * source created with some given bytes, this method would return a subsequence of the given
   * (byte[]) data.
   */
  T getExpected(T data);

  /** Cleans up anything created when creating the source or sink. */
  public abstract void tearDown() throws IOException;

  /** Factory for byte or char sources. */
  public interface SourceFactory<S, T> extends SourceSinkFactory<S, T> {

    if environ_cp.get('TF_CUDA_CLANG') == '1':
      # Set up which clang we should use as the cuda / host compiler.
      clang_cuda_compiler_path = set_clang_cuda_compiler_path(environ_cp)
      clang_version = retrieve_clang_version(clang_cuda_compiler_path)
      disable_clang_offsetof_extension(clang_version)
    else:
      # Set up which gcc nvcc should use as the host compiler
      # No need to set this on Windows

    // make sure that no exception is thrown by flushQuietly when the mock does
    // throw an exception on flush.
    setupFlushable(true);
    Flushables.flushQuietly(mockFlushable);
  }

  // Set up a flushable to expect to be flushed, and optionally to
  // throw an exception.
  private void setupFlushable(boolean shouldThrowOnFlush) throws IOException {
    mockFlushable = mock(Flushable.class);
    if (shouldThrowOnFlush) {

// RLockedFile represents a read locked file, implements a special
// closer which only closes the associated *os.File when the ref count.
// has reached zero, i.e when all the readers have given up their locks.
type RLockedFile struct {
	*LockedFile
	mutex sync.Mutex
	refs  int // Holds read lock refs.
}

// IsClosed - Check if the rlocked file is already closed.
func (r *RLockedFile) IsClosed() bool {

* Prevent hotloops on error conditions, which could fill up the disk faster than log rotation can free space. ([#40497](https://github.com/kubernetes/kubernetes/pull/40497), [@lavalamp](https://github.com/lavalamp))
* Update GCE ContainerVM deployment to container-vm-v20170117 to pick up CVE fixes in base image. ([#40094](https://github.com/kubernetes/kubernetes/pull/40094), [@zmerlynn](https://github.com/zmerlynn))

     */
    public ModelBuilderException(ModelBuilderResult result) {
        super(result.toString());
        this.result = result;
    }

    /**
     * Gets the interim result of the model building up to the point where it failed.
     *
     * @return The interim model building result or {@code null} if not available.
     */
    public ModelBuilderResult getResult() {
        return result;
    }

    /**

  // Returns a map from variable names to their data types.  Slices of a
  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

  // Attempts to look up the tensor named "name" and stores the found result in
  // "out_tensor".
  void GetTensor(const string& name,
                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;