public File createFile(File dir, String filename, String contents, String encoding) throws IOException {
        File file = new File(dir, filename);

        file.getParentFile().mkdirs();

        FileUtils.fileWrite(file.getPath(), encoding, contents);

        markForDeletion(file);

        return file;
    }

    public String getFileContents(File file, String encoding) throws IOException {

                "Transfer listener still registered after getArtifact");

        /* putArtifact */
        File sampleFile = getTestFile("target/test-file");
        FileUtils.fileWrite(sampleFile.getAbsolutePath(), "sample file");

        assertFalse(
                wagon.getTransferEventSupport().hasTransferListener(transferListener),
                "Transfer listener is registered before test");

	if len(b) == 0 {
		return 0, nil
	}
	return 0, errors.New("zip: write to directory")
}

type fileWriter struct {
	*header
	zipw      io.Writer
	rawCount  *countWriter
	comp      io.WriteCloser
	compCount *countWriter
	crc32     hash.Hash32
	closed    bool
}

func (w *fileWriter) Write(p []byte) (int, error) {
	if w.closed {
		return 0, errors.New("zip: write to closed file")
	}

// physicalRemaining implements fileState.physicalRemaining.
func (fw regFileWriter) physicalRemaining() int64 {
	return fw.nb
}

// sparseFileWriter is a fileWriter for writing data to a sparse file entry.
type sparseFileWriter struct {
	fw  fileWriter  // Underlying fileWriter
	sp  sparseDatas // Normalized list of data fragments
	pos int64       // Current position in sparse file
}

			testWrite{"\x00\x00", 2, errUnrefData},
		},
	}}

	for i, v := range vectors {
		var wantStr string
		bb := new(strings.Builder)
		w := testNonEmptyWriter{bb}
		var fw fileWriter
		switch maker := v.maker.(type) {
		case makeReg:
			fw = &regFileWriter{w, maker.size}
			wantStr = maker.wantStr
		case makeSparse:
			if !validateSparseEntries(maker.sph, maker.size) {

rather than tag as their first argument, meaning summary ops now respect
TensorFlow name scopes. * Replace tf.train.SummaryWriter and
tf.train.SummaryWriterCache with tf.summary.FileWriter and
tf.summary.FileWriterCache. * Removes RegisterShape from public API. Use C++
shape function registration instead. * Deprecated `_ref` dtypes from the python