}

    @Test
    public void test_longQuery() throws Exception {
        StringBuilder longQuery = new StringBuilder();
        for (int i = 0; i < 100; i++) {
            longQuery.append("word").append(i).append(" ");
        }
        String query = longQuery.toString().trim();

        QueryLog queryLog = new QueryLog(query, null);

        assertEquals(query, queryLog.getQueryString());
    }

							/></option>
						<option value="pdf" <c:if test="${as.filetype.contains('pdf')}">selected</c:if>><la:message
								key="labels.advance_search_filetype_pdf"
							/></option>
						<option value="word" <c:if test="${as.filetype.contains('word')}">selected</c:if>><la:message
								key="labels.advance_search_filetype_word"
							/></option>
						<option value="excel" <c:if test="${as.filetype.contains('excel')}">selected</c:if>><la:message

//	{
//		outcode(int($1), &$2, int($4.Reg), &$6);
//	}
	ADDD	F1, F2, F3

//	LFCMP freg ',' freg
//	{
//		outcode(int($1), &$2, 0, &$4);
//	}
	CMPEQD	F1, F2


//
// WORD
//
	WORD	$1	// 00000001
	NOOP		// 00000000
	SYNC		// 0000000f

//
// NOP
//
//	LNOP comma // asm doesn't support the trailing comma.
//	{
//		outcode(int($1), &nullgen, 0, &nullgen);
//	}

		the end of the term you are searching.
		<pre>Fess^100</pre>
	</dd>
	<dt>Fuzzy</dt>
	<dd>
		To do a fuzzy search use the "~" symbol at the end of a single word
		term. For example to search for a term similar in spelling to "Fess"
		use the fuzzy search:
		<pre>Fess~0.5</pre>
	</dd>

application/mac-binhex40       hqx              # Macintosh binhexed archives
application/mspowerpoint       ppt              # Microsoft Powerpoint
application/msword             doc              # Microsoft Word
application/octet-stream       bin exe ani      # Binary File
application/oda                oda
application/pagemaker          pm5 pt5 pm       # PageMaker
application/pdf                pdf              # Adobe Acrobat

    /**
     * Enumeration of supported API format types.
     */
    protected enum FormatType {
        /** Search API format. */
        SEARCH,
        /** Label API format. */
        LABEL,
        /** Popular word API format. */
        POPULARWORD,
        /** Favorite API format. */
        FAVORITE,
        /** Favorites API format. */
        FAVORITES,
        /** Ping API format. */
        PING,

    int writeString(final String str, final byte[] dst, int dstIndex, final boolean useUnicode) {
        final int start = dstIndex;

        try {
            if (useUnicode) {
                // Unicode requires word alignment
                if ((dstIndex - headerStart) % 2 != 0) {
                    dst[dstIndex++] = (byte) '\0';
                }

labels.facet_contentLength_5m=5MB -  
labels.facet_filetype_title=檔案類型
labels.facet_filetype_html=HTML
labels.facet_filetype_word=MS Word
labels.facet_filetype_excel=MS Excel
labels.facet_filetype_powerpoint=MS PowerPoint
labels.facet_filetype_odt=ODF Word
labels.facet_filetype_ods=ODF Spreadsheet
labels.facet_filetype_odp=ODF Presentation
labels.facet_filetype_pdf=PDF
labels.facet_filetype_fb2=FictionBook

        assertNotNull(ex.toString(), "toString should be safe to call");
    }

    @ParameterizedTest
    @NullAndEmptySource
    @ValueSource(strings = { "oops", "multi word", "中文" })
    @DisplayName("Message+Cause constructor: preserves both values; no interactions with cause")
    void messageAndCauseConstructor_preservesBoth(String message) {
        // Arrange & Act

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```