import java.util.Objects;
import java.util.PriorityQueue;
import java.util.Queue;
import org.jspecify.annotations.NonNull;
import org.jspecify.annotations.Nullable;

/**
 * This class contains static utility methods that operate on or return objects of type {@link
 * Iterator}. Except as noted, each method has a corresponding {@link Iterable}-based method in the
 * {@link Iterables} class.
 *

    ASSERT_NE(*op, nullptr);
  }

  FunctionDef fdef() {
    tensorflow::FunctionDef fdef;
    EXPECT_TRUE(GetFunctionDef(func_, &fdef));
    return fdef;
  }

  // logging utility
  template <class Container>
  string ToString(const Container& v) {
    std::stringstream ss;
    ss << "{";
    size_t i = 0;
    for (const auto& e : v) {
      if (i != 0) {
        ss << ", ";

import java.net.SocketException;
import java.net.UnknownHostException;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.Locale;
import org.jspecify.annotations.Nullable;

/**
 * Static utility methods pertaining to {@link InetAddress} instances.
 *
 * <p><b>Important note:</b> Unlike {@code InetAddress.getByName()}, the methods of this class never

import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import java.util.concurrent.atomic.AtomicInteger;
import org.jspecify.annotations.Nullable;

/**
 * Static utility methods pertaining to the {@link Future} interface.
 *
 * <p>Many of these methods use the {@link ListenableFuture} API; consult the Guava User Guide

 *   Add `show_trainable` option to `tf.keras.utils.model_to_dot` to display layer trainable status in model plots.
 *   Add ability to save a `tf.keras.utils.FeatureSpace` object, via `feature_space.save("myfeaturespace.keras")`, and reload it via `feature_space = tf.keras.models.load_model("myfeaturespace.keras")`.
*   Added utility `tf.keras.utils.to_ordinal` to convert class vector to ordinal regression / classification matrix.

            return cache.get(otherKey, loader); // loads another key, is ok
          }
        };
    testLoadThrows(key, cache, proxyLoader);
  }

  // utility methods

  private void testLoadThrows(
      String key, LocalCache<String, String> cache, CacheLoader<String, String> loader)
      throws InterruptedException {

            return cache.get(otherKey, loader); // loads another key, is ok
          }
        };
    testLoadThrows(key, cache, proxyLoader);
  }

  // utility methods

  private void testLoadThrows(
      String key, LocalCache<String, String> cache, CacheLoader<String, String> loader)
      throws InterruptedException {

import java.util.concurrent.CopyOnWriteArraySet;
import java.util.stream.Collector;
import org.jspecify.annotations.NonNull;
import org.jspecify.annotations.Nullable;

/**
 * Static utility methods pertaining to {@link Set} instances. Also see this class's counterparts
 * {@link Lists}, {@link Maps} and {@link Queues}.
 *
 * <p>See the Guava User Guide article on <a href=

#include "tensorflow/c/c_api.h"

#include <algorithm>
#include <cstring>
#include <limits>
#include <memory>
#include <optional>
#include <unordered_set>
#include <utility>
#include <vector>

#include "absl/strings/match.h"
// Required for IS_MOBILE_PLATFORM
#include "tensorflow/core/platform/platform.h"  // NOLINT

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

////

//// tab | Python 3.9+ non-Annotated

/// tip | Dica

Utilize a versão com `Annotated` se possível.

///

```Python
commons: CommonQueryParams ...
```

////

...não tem nenhum signficado especial para o **FastAPI**. O FastAPI não irá utilizá-lo para conversão dos dados, validação, etc (já que ele utiliza `Depends(CommonQueryParams)` para isso).

Na verdade você poderia escrever apenas: