int foundIndex) {
        return LAST_PRESENT.resultIndex(comparator, key, list, foundIndex) + 1;
      }
    },
    /**
     * Return the index of the last list element that compares as less than the key, or {@code -1}
     * if there is no such element.
     */
    LAST_BEFORE {
      @Override
      public <E extends @Nullable Object> int resultIndex(
          Comparator<? super E> comparator,

* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.

 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/guava/latest/com.github.benmanes.caffeine.guava/com/github/benmanes/caffeine/guava/CaffeinatedGuava.html">its
 * {@code CaffeinatedGuava} adapter class</a>, which lets you build a Guava {@code Cache} or a Guava
 * {@code LoadingCache} backed by a Guava {@code CacheLoader}.
 *
 * <p>Caffeine's API for asynchronous operations uses {@code CompletableFuture}: <a

	instructions["JL"] = x86.AJLT   /* alternate */
	instructions["JLE"] = x86.AJLE  /* less than or equal (signed) (ZF = 1 || SF != OF) */
	instructions["JLO"] = x86.AJCS  /* alternate */
	instructions["JLS"] = x86.AJLS  /* lower or same (unsigned) (CF = 1 || ZF = 1) */
	instructions["JLT"] = x86.AJLT  /* less than (signed) (SF != OF) */
	instructions["JMI"] = x86.AJMI  /* negative (minus) (SF = 1) */

 * atomic unless otherwise noted.
 *
 * <p>Instances of this class are serializable if the keys are serializable.
 *
 * <p><b>Note:</b> If your values are always positive and less than 2^31, you may wish to use a
 * {@link com.google.common.collect.Multiset} such as {@link
 * com.google.common.collect.ConcurrentHashMultiset} instead.
 *

[tools](https://www.tensorflow.org/resources/tools),
[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
[community](https://www.tensorflow.org/community) resources that lets
researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within

    /** The operator to read and write the shared file. Null if this source is closed. */
    private var fileOperator: FileOperator? = FileOperator(file!!.channel)

    /** The next byte to read. This is always less than or equal to [upstreamPos]. */
    private var sourcePos = 0L

    /**
     * Selects where to find the bytes for a read and read them. This is one of three sources.
     *
     * ## Upstream
     *

But still, FastAPI got quite some inspiration from Requests.

**Requests** is a library to *interact* with APIs (as a client), while **FastAPI** is a library to *build* APIs (as a server).

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

	errMetaCode := checkMetaHeaders(extractedSignedHeaders, r)
	if errMetaCode != ErrNone {
		return errMetaCode
	}

	// If the host which signed the request is slightly ahead in time (by less than globalMaxSkewTime) the
	// request should still be allowed.
	if pSignValues.Date.After(UTCNow().Add(globalMaxSkewTime)) {
		return ErrRequestNotReadyYet
	}

    } finally {
      service.shutdown();
    }
    assertThat(holder.count).isEqualTo(ITERATION_COUNT);
    for (int length : completeLengthChecks) {
      // Verify that at max depth, less than one stack frame per submitted task was consumed
      assertThat(length - baseStackDepth).isLessThan(DIRECT_EXECUTIONS_PER_THREAD / 2);
    }
  }

  @SuppressWarnings("ObjectToString") // Intended behavior