// the affinity expressions specified by this field, but it may choose
  // a node that violates one or more of the expressions. The node that is
  // most preferred is the one with the greatest sum of weights, i.e.
  // for each node that meets all of the scheduling requirements (resource
  // request, requiredDuringScheduling affinity expressions, etc.),

   *     string} has a length of zero or cannot be parsed as a {@code float} value
   * @throws NullPointerException if {@code string} is {@code null}
   * @since 14.0
   */
  @GwtIncompatible // regular expressions
  @CheckForNull
  public static Float tryParse(String string) {
    if (Doubles.FLOATING_POINT_PATTERN.matcher(string).matches()) {
      // TODO(lowasser): could be potentially optimized, but only with

   *     string} has a length of zero or cannot be parsed as a {@code float} value
   * @throws NullPointerException if {@code string} is {@code null}
   * @since 14.0
   */
  @GwtIncompatible // regular expressions
  @CheckForNull
  public static Float tryParse(String string) {
    if (Doubles.FLOATING_POINT_PATTERN.matcher(string).matches()) {
      // TODO(lowasser): could be potentially optimized, but only with

<h3 id="constants">Constants</h3>

<p>
Although the assembler takes its guidance from the Plan 9 assemblers,
it is a distinct program, so there are some differences.
One is in constant evaluation.
Constant expressions in the assembler are parsed using Go's operator
precedence, not the C-like precedence of the original.
Thus <code>3&amp;1&lt;&lt;2</code> is 4, not 0—it parses as <code>(3&amp;1)&lt;&lt;2</code>

def get_sequential_burgers(number: int):
    # Opérations asynchrones pour créer les burgers
    return burgers
```

Avec `async def`, Python sait que dans cette fonction il doit prendre en compte les expressions `await`, et qu'il peut mettre en pause ⏸ l'exécution de la fonction pour aller faire autre chose 🔀 avant de revenir.

Pour appeler une fonction définie avec `async def`, vous devez utiliser `await`. Donc ceci ne marche pas :

def get_sequential_burgers(number: int):
    # Do some sequential stuff to create the burgers
    return burgers
```

With `async def`, Python knows that, inside that function, it has to be aware of `await` expressions, and that it can "pause" ⏸ the execution of that function and go do something else 🔀 before coming back.

When you want to call an `async def` function, you have to "await" it. So, this won't work:

```Python

defined as the partial order requirements set out by the <a href="/ref/spec">Go language specification</a>
for Go's control flow constructs as well as the <a href="/ref/spec#Order_of_evaluation">order of evaluation for expressions</a>.
</p>

<p>
A Go <i>program execution</i> is modeled as a set of goroutine executions,
together with a mapping <i>W</i> that specifies the write-like operation that each read-like operation reads from.

pkg reflect, method (Value) Grow(int) #48000
pkg reflect, method (Value) SetZero() #52376
pkg regexp/syntax, const ErrLarge ErrorCode #56041
pkg regexp/syntax, const ErrLarge = "expression too large" #56041
pkg runtime/cgo (darwin-amd64-cgo), type Incomplete struct #46731
pkg runtime/cgo (darwin-arm64-cgo), type Incomplete struct #46731
pkg runtime/cgo (freebsd-386-cgo), type Incomplete struct #46731

getMatcher(String); public abstract String getName(); } org/apache/ivy/plugins/matcher/ExactPatternMatcher$ExactMatcher.class package org.apache.ivy.plugins.matcher; final synchronized class ExactPatternMatcher$ExactMatcher implements Matcher { private String expression; public void ExactPatternMatcher$ExactMatcher(String); public final boolean matches(String); } org/apache/ivy/plugins/matcher/ExactOrRegexpPattern$ExactOrRegexpMatcher.class package org.apache.ivy.plugins.matcher; final synchronized class Exact...

    for enabling/disabling v2 control flow.
*   Enable v2 control flow as part of `tf.enable_v2_behavior()` and
    `TF2_BEHAVIOR=1`.
*   AutoGraph translates Python control flow into TensorFlow expressions,
    allowing users to write regular Python inside `tf.function`-decorated
    functions. AutoGraph is also applied in functions used with `tf.data`,
    `tf.distribute` and `tf.keras` APIS.