from sqlmodel import Field, Session, SQLModel, create_engine, select


class HeroBase(SQLModel):
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)


class Hero(HeroBase, table=True):
    id: int | None = Field(default=None, primary_key=True)
    secret_name: str


class HeroPublic(HeroBase):
    id: int


class HeroCreate(HeroBase):
    secret_name: str

    return ImmutableSet.of(INSTANCE);
  }

  public void testHashCode() {
    assertEquals(0, INSTANCE.hashCode());
  }

  public void testEqualsObject() {
    Table<Character, Integer, String> nonEmptyTable = HashBasedTable.create();
    nonEmptyTable.put('A', 1, "blah");

    new EqualsTester()
        .addEqualityGroup(INSTANCE, HashBasedTable.create(), TreeBasedTable.create())

		message:    err.Error(),
		statusCode: 400,
		cause:      err,
	}
}

func errBadTableName(err error) *s3Error {
	return &s3Error{
		code:       "BadTableName",
		message:    fmt.Sprintf("The table name is not supported: %v", err),
		statusCode: 400,
		cause:      err,
	}
}

func errDataSource(err error) *s3Error {
	return &s3Error{
		code:       "DataSourcePathUnsupported",

    throw new UnsupportedOperationException();
  }

  @Override
  protected Map<String, Integer> makeEmptyMap() {
    throw new UnsupportedOperationException();
  }

  @Override
  Table<String, Character, Integer> makeTable() {
    return ArrayTable.create(asList("one", "two", "three", "four"), asList('a', 'b', 'c'));
  }

  - pymdownx.inlinehilite
  - pymdownx.magiclink
  - pymdownx.smartsymbols
  - pymdownx.superfences
  - pymdownx.tilde
  - pymdownx.tabbed:
      alternate_style: true
  - tables

plugins:
  - search
  - redirects:
      redirect_maps:
        # Redirect all feature pages to features/*
        'caching.md': 'features/caching.md'
        'calls.md': 'features/calls.md'

 * This job removes old crawling sessions, search logs, job logs, and user info logs
 * based on configured retention periods. It helps maintain system performance by
 * preventing log tables from growing too large.
 */
public class PurgeLogJob {

    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(PurgeLogJob.class);

    /**

{"name": "Portal Gun", "description": "A portal opening device."}
{"name": "Meeseeks Box", "description": "A box that summons a Meeseeks."}
```

C'est très similaire à un tableau JSON (équivalent d'une liste Python), mais au lieu d'être entouré de `[]` et d'avoir des `,` entre les éléments, il y a un objet JSON par ligne, ils sont séparés par un caractère de saut de ligne.

/// info

    return smear((o == null) ? 0 : o.hashCode());
  }

  private static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  static int closedTableSize(int expectedEntries, double loadFactor) {
    // Get the recommended table size.
    // Round down to the nearest power of 2.
    expectedEntries = max(expectedEntries, 2);
    int tableSize = Integer.highestOneBit(expectedEntries);

  }

  /**
   * Sets the minimum total size for the internal hash tables. For example, if the initial capacity
   * is {@code 60}, and the concurrency level is {@code 8}, then eight segments are created, each
   * having a hash table of size eight. Providing a large enough estimate at construction time

      var $submitButton = $("input#submit, button#submit");
      if ($submitButton.size() > 0) {
        $submitButton[0].submit();
      }
      // ignore enter key down
      return false;
    }
  });

  $(".table tr[data-href]").each(function() {
    $(this)
      .css("cursor", "pointer")
      .hover(
        function() {
          $(this).addClass("active");
        },
        function() {