/** The key of the message: Failed to download an elevate word file. */
    public static final String ERRORS_failed_to_download_elevate_file = "{errors.failed_to_download_elevate_file}";

    /** The key of the message: Failed to upload an elevate word file. */
    public static final String ERRORS_failed_to_upload_elevate_file = "{errors.failed_to_upload_elevate_file}";

 * equivalence classes.
 *
 * @author Gregory Kick
 */
@GwtCompatible
@NullMarked
final class RelationshipTester<T> {
  interface ItemReporter {
    String reportItem(Item<?> item);
  }

  /**
   * A word about using {@link Equivalence}, which automatically checks for {@code null} and
   * identical inputs: This sounds like it ought to be a problem here, since the goals of this class

		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>

							/></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);
//	}

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")
```

#### What this PR does / why we need it:

#### Which issue(s) this PR is related to:
<!--
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add the word "Fixes" before the issue number or link.
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Fixes #<issue number>

</p>

<p>
Reads of memory locations larger than a single machine word
are encouraged but not required to meet the same semantics
as word-sized memory locations,
observing a single allowed write <i>w</i>.
For performance reasons,
implementations may instead treat larger operations
as a set of individual machine-word-sized operations
in an unspecified order.
This means that races on multiword data structures

        assertEquals(sampleTimeMillis + serverTimeZoneOffset, response.getLastWriteTime());
        assertEquals(1024, response.getSize());
    }

    /**
     * Test of readParameterWordsWireFormat method with zero word count.
     */
    @Test
    public void testReadParameterWordsWireFormatWithZeroWordCount() {
        byte[] buffer = new byte[20];
        response.wordCount = 0;

    /**
     * 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,