*   XLA reduction emitter is deterministic when the environment variable
        `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends
        deterministic `tf.nn.bias_add` back-prop functionality (and therefore
        also deterministic back-prop of bias-addition in Keras layers) to
        include when XLA JIT compilation is enabled.
    *   Fix problem, when running on a CUDA GPU and when either environment

            super();
            // Initialize the properties to avoid NullPointerException
            try {
                java.lang.reflect.Field propField = org.lastaflute.core.direction.ObjectiveConfig.class.getDeclaredField("prop");
                propField.setAccessible(true);
                propField.set(this, new org.dbflute.helper.jprop.ObjectiveProperties("test.properties"));
            } catch (Exception e) {

    return warmUp(cache, WARMUP_MIN, WARMUP_MAX);
  }

  /**
   * Returns the entries that were added to the map, so they won't fall out of a map with weak or
   * soft references until the caller drops the reference to the returned entries.
   */
  private List<Entry<Object, Object>> warmUp(
      LoadingCache<Object, Object> cache, int minimum, int maximum) {

	// but advance only one byte. This matches the behavior of a range loop over
	// an incorrectly encoded string.
	return 1, errorRune, nil
}

// dropCR drops a terminal \r from the data.
func dropCR(data []byte) []byte {
	if len(data) > 0 && data[len(data)-1] == '\r' {
		return data[0 : len(data)-1]
	}
	return data
}

     * Use a exclusive connection for this tree
     *
     * If an exclusive connection is used the caller must make sure that the tree handle is kept alive,
     * otherwise the connection will be disconnected once the usage drops to zero.
     *
     * @param np
     *            whether to use an exclusive connection
     */
    void setNonPooled(final boolean np) {
        this.nonPooled = np;
    }

    /**

    val redundantOpCompactThreshold = 2000
    return redundantOpCount >= redundantOpCompactThreshold &&
      redundantOpCount >= lruEntries.size
  }

  /**
   * Drops the entry for [key] if it exists and can be removed. If the entry for [key] is currently
   * being edited, that edit will complete normally but its value will not be stored.
   *
   * @return true if an entry was removed.

    return when {
      closed -> "MockWebServer{closed}"
      socketAddress != null -> "MockWebServer{port=${socketAddress.port}}"
      else -> "MockWebServer{new}"
    }
  }

  /** A buffer wrapper that drops data after [bodyLimit] bytes. */
  private class TruncatingBuffer(
    private var remainingByteCount: Long,
  ) : Sink {
    val buffer = Buffer()
    var receivedByteCount = 0L

C'est un excellent outil, très sous-estimé. Il devrait être beaucoup plus populaire que de nombreux plug-ins Flask. C'est peut-être dû au fait que sa documentation est trop concise et abstraite.

Cela a permis de ne pas avoir à écrire YAML (une autre syntaxe) à l'intérieur des docstrings Python.

## Vous êtes pressés ?

<abbr title="'too long; didn't read' en anglais, ou 'trop long ; j'ai pas lu'"><strong>TL;DR :</strong></abbr>

Si vous utilisez des bibliothèques tierces qui nécessitent d'être appelées avec `await`, telles que :

```Python
results = await some_library()
```

ling-plus:before{content:"\f4f1"}.fa-creative-commons-share:before{content:"\f4f2"}.fa-creative-commons-zero:before{content:"\f4f3"}.fa-credit-card:before{content:"\f09d"}.fa-critical-role:before{content:"\f6c9"}.fa-crop:before{content:"\f125"}.fa-crop-alt:before{content:"\f565"}.fa-cross:before{content:"\f654"}.fa-crosshairs:before{content:"\f05b"}.fa-crow:before{content:"\f520"}.fa-crown:before{content:"\f521"}.fa-crutch:before{content:"\f7f7"}.fa-css3:before{content:"\f13c"}.fa-css3-alt:befor...