success.job_stopped=Stopped job {0}.
success.upload_synonym_file=Uploaded Synonym file.
success.upload_kuromoji_file=Uploaded Kuromoji file.
success.upload_elevate_word=Uploaded Additional Word file.
success.upload_bad_word=Uploaded Bad Word file.
success.upload_mapping_file=Uploaded Mapping file.
success.send_testmail=Sent the test mail.
success.job_log_delete_all=Deleted job logs.
success.changed_password=Changed your password.

		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>

		&Select{},
		participle.Lexer(sqlLexer),
		participle.CaseInsensitive("Keyword"),
	)

	s := Select{}
	cases := []string{
		"select * from s3object where name > 2 or value > 1 or word > 2",
		"select s.word.id + 2 from s3object s",
		"select 1-2-3 from s3object s limit 1",
	}
	for i, tc := range cases {
		err := p.ParseString(tc, &s)
		if err != nil {
			t.Fatalf("%d: %v", i, err)
		}

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

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

    }

    @Override
    public HashCode hash() {
      long value = checksum.getValue();
      if (bits == 32) {
        /*
         * The long returned from a 32-bit Checksum will have all 0s for its second word, so the
         * cast won't lose any information and is necessary to return a HashCode of the correct
         * size.
         */
        return HashCode.fromInt((int) value);
      } else {

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")
```

        if ( this.isPrimary ) {
            this.isPrimary = false;

            // primarySetupOffset
            // SMB_COM_TRANSACTION: 61 = 32 SMB header + 1 (word count) + 28 (fixed words)
            // SMB_COM_NT_TRANSACTION: 69 = 32 SMB header + 1 (word count) + 38 (fixed words)
            this.parameterOffset = this.primarySetupOffset;

            // 2* setupCount
            this.parameterOffset += this.setupCount * 2;

</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

 *
 * ## Protocol vs Scheme
 *
 * Despite its name, [java.net.URL.getProtocol] returns the [scheme][java.net.URI.getScheme] (http,
 * https, etc.) of the URL, not the protocol (http/1.1, spdy/3.1, etc.). OkHttp uses the word
 * *protocol* to identify how HTTP messages are framed.
 *
 * [ietf_alpn]: http://tools.ietf.org/html/draft-ietf-tls-applayerprotoneg
 */
enum class Protocol(private val protocol: String) {
  /**

success.upload_stemmeroverride_file=Uploaded Stemmer Override file.
success.upload_kuromoji_file=Uploaded Kuromoji file.
success.upload_elevate_word=Uploaded Additional Word file.
success.upload_bad_word=Uploaded Bad Word file.
success.upload_mapping_file=Uploaded Mapping file.
success.send_testmail=Sent the test mail.
success.job_log_delete_all=Deleted job logs.
success.changed_password=Changed your password.