* 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
   * avoids the need for expensive resizing operations later, but setting this value unnecessarily
   * high wastes memory.
   *
   * @throws IllegalArgumentException if {@code initialCapacity} is negative

 */
package org.codelibs.fess.query;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.codelibs.fess.entity.QueryContext;
import org.codelibs.fess.mylasta.direction.FessConfig;
import org.codelibs.fess.query.parser.QueryParser;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;

	ANDW	$0x6006000060060, R27, R5                        // ERROR "cannot use REGTMP as source"
	STP	(R3, R4), 0x1234567(R27)                         // ERROR "REGTMP used in large offset store"
	LDP	0x1234567(R27), (R3, R4)                         // ERROR "REGTMP used in large offset load"
	STP	(R26, R27), 700(R2)                              // ERROR "cannot use REGTMP as source"

      class: mermaid
      format: !!python/name:pymdownx.superfences.fence_code_format ''
  pymdownx.tilde: null
  pymdownx.blocks.admonition:
    types:
    - note
    - attention
    - caution
    - danger
    - error
    - tip
    - hint
    - warning
    - info
    - check
  pymdownx.blocks.details: null
  pymdownx.blocks.tab:
    alternate_style: true
  mdx_include: null

* The **database model** would probably need to have a hashed password.

/// danger

Never store user's plaintext passwords. Always store a "secure hash" that you can then verify.

If you don't know, you will learn what a "password hash" is in the [security chapters](security/simple-oauth2.md#password-hashing){.internal-link target=_blank}.

///

## Multiple models { #multiple-models }

Burgerlerinizi 🍔 al ve aşkınla masanıza doğru ilerle 😍.

Sadece burgerini yiyorsun 🍔 ve bitti ⏹.

Bekleyerek çok fazla zaman geçtiğinden 🕙 konuşmaya çok fazla vakit kalmadı 😞.

---

Paralel burger senaryosunda ise,  siz iki işlemcili birer robotsunuz 🤖 (sen ve sevgilin 😍), Beklıyorsunuz 🕙 hem konuşarak güzel vakit geçirirken ⏯ hem de sıranızı bekliyorsunuz 🕙.

              <!-- Fix OutOfMemoryError under Travis. -->
              <extraJvmArgs>-Xms3500m -Xmx3500m -Xss1024k</extraJvmArgs>
              <sourceLevel>1.8</sourceLevel>
              <!-- Keep these timeouts very large because, if we hit the timeout, the tests silently pass :( -->
              <testTimeOut>86400 <!-- seconds --></testTimeOut>
              <testMethodTimeout>1440 <!-- minutes --></testMethodTimeout>

For example, if you are squeezing performance, you can install and use <a href="https://github.com/ijl/orjson" class="external-link" target="_blank">`orjson`</a> and set the response to be `ORJSONResponse`.

Import the `Response` class (sub-class) you want to use and declare it in the *path operation decorator*.

For large responses, returning a `Response` directly is much faster than returning a dictionary.

     */
    abstract SetBuilderImpl<E> copy();

    /**
     * Call this before build(). Does a final check on the internal data structures, e.g. shrinking
     * unnecessarily large structures or detecting previously unnoticed hash flooding.
     */
    SetBuilderImpl<E> review() {
      return this;
    }

    abstract ImmutableSet<E> build();
  }

        generator.setCommandTimeout(0L);
        assertTrue(true);

        // Test negative timeout
        generator.setCommandTimeout(-1L);
        assertTrue(true);

        // Test very large timeout
        generator.setCommandTimeout(Long.MAX_VALUE);
        assertTrue(true);

        // Test destroy timeout
        generator.setCommandDestroyTimeout(0L);
        assertTrue(true);