let summary = "Analyze variables in the graph";
  let description = [{
      Pass which analyzes the variables in the graph and add an attribute whether
      variables should be legalized to TFLite native ones.
      This pass needs to run post TF->TFL legalization and before variable
      legalization.
  }];
  let constructor = "CreateAnalyzeVariablesPass()";

                                         patterns, context, converter,
                                         prefer_tf2xla);
  }

  // Populate with CHLO->HLO lowerings to account for TF ops legalized to
  // CHLO first.
  stablehlo::StablehloToHloTypeConverter hlo_converter;
  if (legalize_chlo) {
    chlo::populateChloToHloPatterns(context, &hlo_converter, &patterns);
  }

            final ModelRegistry modelRegistry = ((ProjectInternal) project).getModelRegistry();
            final NativeToolChain toolChain = modelRegistry.realize("toolChains", NativeToolChainRegistryInternal.class).getForPlatform(currentPlatform);

            // Platform specific arguments
            // TODO: Need to lazily configure compile task

import java.util.List;

public class DefaultComponentMetadataProcessor implements ComponentMetadataProcessor {

    private final static boolean FORCE_REALIZE = Boolean.getBoolean("org.gradle.integtest.force.realize.metadata");

    private static final Transformer<ModuleComponentResolveMetadata, WrappingComponentMetadataContext> DETAILS_TO_RESULT = componentMetadataContext -> {

                    maven(MavenPublication) {
                        from(components.java)
                    }
                }
            }
            publishing.publications.maven.artifacts // Realize publication component
            components.java.withVariantsFromConfiguration(configurations.apiElements) { skip() }
        """

        when:
        executer.expectDocumentedDeprecationWarning(

	// profitable. To achieve this we create a goroutine per-proc.
	// These goroutines access considerable amount of local data so that
	// unnecessary rescheduling is penalized by cache misses.
	m := NewDRWMutex(ds, "")
	var acc0, acc1 uint64
	b.RunParallel(func(pb *testing.PB) {
		var data [16 << 10]uint64
		for i := 0; pb.Next(); i++ {
			m.Lock(id, source)
			acc0 -= 100

En faisant cela, votre éditeur pourra vous aider, même pendant que vous traitez des éléments de la liste.

<img src="/img/python-types/image05.png">

Sans types, c'est presque impossible à réaliser.

Vous remarquerez que la variable `item` n'est qu'un des éléments de la list `items`.

Et pourtant, l'éditeur sait qu'elle est de type `str` et pourra donc vous aider à l'utiliser.

#### `Tuple` et `Set`

// operations with small inputs and large outputs instead of keeping the result
// in memory. This class allows us to compactly and efficiently represent the
// (idealized) memory profile of a TFLite graph and simulate the effect of
// re-inserting operations on that memory profile.

#include <algorithm>
#include <cinttypes>
#include <tuple>
#include <vector>

namespace mlir {

   * granted only 100ms ago, then we wait for another 100ms. At this rate, serving 15 fresh permits
   * (i.e. for an acquire(15) request) naturally takes 3 seconds.
   *
   * It is important to realize that such a RateLimiter has a very superficial memory of the past:
   * it only remembers the last request. What if the RateLimiter was unused for a long period of

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

FastAPI is smart enough (actually, Pydantic is smart enough) to realize that, even though `description`, `tax`, and `tags` have the same values as the defaults, they were set explicitly (instead of taken from the defaults).

So, they will be included in the JSON response.

!!! tip