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")
```

</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

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,

 * 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

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

	"TBNZ":  true,
	"TBZ":   true,

	// ADR isn't really a jump, but it takes a PC or label reference,
	// which needs to patched like a jump.
	"ADR":  true,
	"ADRP": true,
}

func jumpArm64(word string) bool {
	return arm64Jump[word]
}

var arm64SpecialOperand map[string]arm64.SpecialOperand

// ARM64SpecialOperand returns the internal representation of a special operand.

        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

    /**
     * {@return the dependency scope for the given identifier, or {@code null} if none}.
     * The identifiers are usually in lower cases with {@code '-'} instead of {@code '_'}
     * as word separator.
     *
     * @param id the identifier of the scope (case-sensitive)
     */
    public static DependencyScope forId(String id) {
        return IDS.get(id);
    }

    private final String id;

        pdfExtractor = container.getComponent("pdfExtractor");
        pdfExtractorForPdfPassword = container.getComponent("pdfExtractorForPdfPassword");
        pdfExtractorForPdfPassword.addPassword(".*test_.*.pdf", "word");
    }

    public void test_getText() {
        final InputStream in = ResourceUtil.getResourceAsStream("extractor/test.pdf");
        final ExtractData extractData = pdfExtractor.getText(in, null);