64 sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards...

    @Test
    void testGetUserPrincipal() {
        // Act: Call the method under test
        Principal actualPrincipal = ntlmRequest.getUserPrincipal();

        // Assert: Verify that the returned principal is the same as the one provided in the constructor
        assertSame(mockPrincipal, actualPrincipal, "getUserPrincipal should return the principal object.");
    }

    /**

        @Test
        void arraysHaveSameLength() {
            assertEquals(WinError.WINERR_CODES.length, WinError.WINERR_MESSAGES.length,
                    "WINERR_CODES and WINERR_MESSAGES should have the same length");
        }

        @Test
        void messagesAlignWithCodes() {
            for (int i = 0; i < WinError.WINERR_CODES.length; i++) {
                int code = WinError.WINERR_CODES[i];

            // first one is known, so it comes first
            return -1;
        }
        int rv = Integer.compare(i1, i2);
        if (rv != 0) {
            return rv;
        }
        // same execution point, now compare priorities
        return Integer.compare(p1.priority(), p2.priority());
    }

  <artifactId>testvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <description>
    This will test if the module validator recognized that this dependency with classifier
    is not the same as the module itself.
  </description>
  <dependencies>
    <dependency>
      <groupId>com.example.group</groupId>
      <artifactId>testvalidpom</artifactId>
      <version>0.0.1-SNAPSHOT</version>

  <groupId>com.example.group</groupId>
  <artifactId>testinvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <description>
    This will test if the module validator recognized that this
    dependency is the same as the module itself.
  </description>
  <dependencies>
    <dependency>
      <groupId>com.example.group</groupId>
      <artifactId>testinvalidpom</artifactId>
      <version>0.0.1-SNAPSHOT</version>

Allow: /$
Allow: /index.html$
Allow: /public/

# Test priority rules (longer match wins)
User-agent: PriorityBot
Disallow: /store
Allow: /store/public
Disallow: /store/public/sale

# Test Allow vs Disallow with same length (Allow wins)
User-agent: SameLengthBot
Disallow: /page
Allow: /page

# Test multiple wildcards
User-agent: MultiWildcardBot
Disallow: /*.cgi*
Disallow: /*?*id=*

# Test literal $ in middle of pattern

        startLatch.countDown();

        // Wait for all threads to complete
        assertTrue("Threads did not complete in time", doneLatch.await(5, TimeUnit.SECONDS));

        // All threads should fail with the same IOException (project ID is blank)
        // But importantly, there should be no race condition errors
        assertEquals(threadCount, failureCount.get());
        assertEquals(0, successCount.get());

(A SQL separator is semicolon ";")

take-finally-*.sql:
SQL statements for check loaded data (or DDL after data loading)
You should write your own SQL statements in this file.
(basically same specifications as replace-schema.sql)

The "data" directory is for data loading like this:
/- - - - - - - - - - - - - - - - - - - -
playsql
  |-data
     |-common
     |  |-xls
     |     |-10-master.xls

pass the internal type(s) as "type parameters" using square brackets: `[` and `]`

```Python
my_list: list[str]
```

That's all standard Python syntax for type declarations.

Use that same standard syntax for model attributes with internal types.

So, in our example, we can make `tags` be specifically a "list of strings":

{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}