## Program and Process { #program-and-process }

We will talk a lot about the running "**process**", so it's useful to have clarity about what it means, and what's the difference with the word "**program**".

### What is a Program { #what-is-a-program }

The word **program** is commonly used to describe many things:

* The **code** that you write, the **Python files**.

    var b = 0
    for (codePoint in input) {
      if (codePoint < INITIAL_N) {
        result.writeByte(codePoint)
        b++
      }
    }

    // Copy a delimiter if any basic code points were emitted.
    if (b > 0) result.writeByte('-'.code)

    var n = INITIAL_N
    var delta = 0
    var bias = INITIAL_BIAS
    var h = b
    while (h < input.size) {

        /*
         * I'm not sure that we could actually get here for *Android*: I would expect us to enter
         * the POSIX code path instead. And if we tried this code path, we'd have trouble unless we
         * were running under a new enough version of Android to support NIO.
         *
         * So this is probably just the "Windows Java 8" case. In that case, if we wanted *another*

  }

  abstract String normalizeWord(String word);

  String normalizeFirstWord(String word) {
    return normalizeWord(word);
  }

  private static String firstCharOnlyToUpper(String word) {
    return word.isEmpty()
        ? word
        : Ascii.toUpperCase(word.charAt(0)) + Ascii.toLowerCase(word.substring(1));
  }

    }

    public void test_equals() {
        // Test equals method
        ProtwordsItem item1 = new ProtwordsItem(1, "word");
        ProtwordsItem item2 = new ProtwordsItem(2, "word");
        ProtwordsItem item3 = new ProtwordsItem(1, "different");
        ProtwordsItem item4 = new ProtwordsItem(1, "word");

        // Same object
        assertTrue(item1.equals(item1));

        // Same input, different id

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")
```

    * Wird in Requests und Responses als `str` dargestellt.
* `datetime.datetime`:
    * Ein Python-`datetime.datetime`.
    * Wird in Requests und Responses als `str` im ISO 8601-Format dargestellt, etwa: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * Python-`datetime.date`.
    * Wird in Requests und Responses als `str` im ISO 8601-Format dargestellt, etwa: `2008-09-15`.

</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

        writeInt2(andxOffset, dst, start + ANDX_OFFSET_OFFSET);

        andx.useUnicode = useUnicode;
        if (andx instanceof AndXServerMessageBlock) {

            /*
             * A word about communicating header info to andx smbs
             *
             * This is where we recursively invoke the provided andx smb
             * object to write it's parameter words and bytes to our outgoing

        // removed... however, barring something very strange we can assume that if at least one
        // subscriber was removed, all subscribers on listener for that event type were... after
        // all, the definition of subscribers on a particular class is totally static
        throw new IllegalArgumentException(