versions](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-tls-version/) and [cipher suites](https://square.github.io/okhttp/5.x/okhttp/okhttp3/-cipher-suite/) to offer. A client that wants to maximize connectivity would include obsolete TLS versions and weak-by-design cipher suites. A strict client that wants to maximize security would be limited to only the latest TLS version and strongest cipher suites.

Specific security vs. connectivity decisions are implemented by [ConnectionSpec](https://...

import org.apache.maven.project.MavenProject;

/**
 * Smart project comparator that orders projects based on critical path analysis.
 * Projects with longer downstream dependency chains are prioritized to maximize
 * parallel execution efficiency.
 *
 * <p>The algorithm calculates a weight for each project as:
 * weight = 1 + max(downstream_project_weights)
 *

 * of the elapsed times reported. {@code Stopwatch} is still suitable for logging and metrics where
 * reasonably accurate values are sufficient. If the uncommon case that you need to maximize
 * accuracy, use {@code System.nanoTime()} directly instead.
 *
 * <p>Basic usage:
 *
 * {@snippet :
 * Stopwatch stopwatch = Stopwatch.createStarted();
 * doSomething();
 * stopwatch.stop(); // optional
 *

 * of the elapsed times reported. {@code Stopwatch} is still suitable for logging and metrics where
 * reasonably accurate values are sufficient. If the uncommon case that you need to maximize
 * accuracy, use {@code System.nanoTime()} directly instead.
 *
 * <p>Basic usage:
 *
 * {@snippet :
 * Stopwatch stopwatch = Stopwatch.createStarted();
 * doSomething();
 * stopwatch.stop(); // optional
 *

want to use any base image, and instead **build a container image from scratch** based on the official Python Docker image.

Taking care of the **order** of instructions in the `Dockerfile` and the **Docker cache** you can **minimize build times**, to maximize your productivity (and avoid boredom). 😎...

square-kotlin-poet = "2.3.0"
square-moshi = "1.15.2"
square-okio = "3.17.0"
square-retrofit = "3.0.0"
startup-runtime = "1.2.0"
testcontainers = "1.21.4"
zstd-kmp-okio = "0.4.0"

# Set to lower version than KGP version to maximize compatibility
# Default to matching okio
kotlinCoreLibrariesVersion = "2.1.21"

[libraries]
amazon-corretto = { module = "software.amazon.cryptools:AmazonCorrettoCryptoProvider", version.ref = "amazon-corretto" }

            .maximumSize(MAX_SIZE)
            .removalListener(removalListener)
            .build(loader);
    for (int i = 0; i < 2 * MAX_SIZE; i++) {
      cache.getUnchecked(i);
      assertThat(cache.size()).isAtMost(MAX_SIZE);
    }

    assertThat(CacheTesting.accessQueueSize(cache)).isEqualTo(MAX_SIZE);
    assertThat(cache.size()).isEqualTo(MAX_SIZE);
    CacheTesting.processPendingNotifications(cache);

            .maximumSize(MAX_SIZE)
            .removalListener(removalListener)
            .build(loader);
    for (int i = 0; i < 2 * MAX_SIZE; i++) {
      cache.getUnchecked(i);
      assertThat(cache.size()).isAtMost(MAX_SIZE);
    }

    assertThat(CacheTesting.accessQueueSize(cache)).isEqualTo(MAX_SIZE);
    assertThat(cache.size()).isEqualTo(MAX_SIZE);
    CacheTesting.processPendingNotifications(cache);

 * small portion of these would be in use.
 *
 * <p>Prior to this class, one might be tempted to use {@code Map<K, Lock>}, where {@code K}
 * represents the task. This maximizes concurrency by having each unique key mapped to a unique
 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing

        } finally {
            out.close();
        }

        // Set maxSize larger than file size
        final byte[] bytes = FileUtil.readBytes(file, 1024);
        assertThat(new String(bytes, "UTF-8"), is(content));
    }

    /**
     * Test readBytes with custom maxSize - file exceeds limit
     *
     * @throws Exception
     */
    @Test(expected = IORuntimeException.class)