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). 😎...

        }

        int maxSize = isSmb1 ? MAX_SMB1_MESSAGE_SIZE : MAX_SMB_MESSAGE_SIZE;
        if (size > maxSize) {
            failedValidations.incrementAndGet();
            log.warn("Message size exceeds maximum: {} > {}", size, maxSize);
            throw new SmbException("Message size exceeds maximum: " + size + " > " + maxSize);
        }
    }

    /**

 * 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

     *
     * @param maxBuffers the maximum number of buffers to cache
     * @param maxSize the size of each buffer in bytes
     *
     */
    public BufferCacheImpl(final int maxBuffers, final int maxSize) {
        this.cache = new Object[maxBuffers];
        this.bufferSize = maxSize;
    }

    /**
     * {@inheritDoc}
     *
     * @see jcifs.BufferCache#getBuffer()
     */

    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);
      checkMaximumSize(8, 8, maxSize);
    }

    checkMaximumSize(1, 8, Long.MAX_VALUE);
    checkMaximumSize(2, 8, Long.MAX_VALUE);

      }

      @Override
      int minSize() {
        int difference = minSize(set1) - maxSize(set2);
        return difference >= 0 ? difference : max(minSize(set2) - maxSize(set1), 0);
      }

      @Override
      int maxSize() {
        return saturatedAdd(maxSize(set1), maxSize(set2));
      }
    };
  }

  /**

     * Validates buffer size to prevent overflow
     *
     * @param size the buffer size to validate
     * @param maxSize the maximum allowed size
     * @param fieldName the field name for error reporting
     * @throws IllegalArgumentException if size is invalid
     */
    public static void validateBufferSize(int size, int maxSize, String fieldName) {
        if (size < 0) {

  constructor(directory: File, maxSize: Long) : this(
    FileSystem.SYSTEM,
    directory.toOkioPath(),
    maxSize,
  )

  internal val cache =
    DiskLruCache(
      fileSystem = fileSystem,
      directory = directory,
      appVersion = VERSION,
      valueCount = ENTRY_COUNT,
      maxSize = maxSize,
      taskRunner = taskRunner,
    )

  }

  public void testUnion_maxSize_saturated() {
    assertThat(union(setSize(Integer.MAX_VALUE), setSize(1)).maxSize())
        .isEqualTo(Integer.MAX_VALUE);
    assertThat(union(setSize(1), setSize(Integer.MAX_VALUE)).maxSize())
        .isEqualTo(Integer.MAX_VALUE);
  }

  public void testIntersection_minSize() {
    assertMinSize(intersection(emptySet(), emptySet()), 0);

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

// This file encapsulates some of the odd characteristics of the
// Loong64 (LoongArch64) instruction set, to minimize its interaction
// with the core of the assembler.

package arch

import (
	"cmd/internal/obj"
	"cmd/internal/obj/loong64"
	"errors"
	"fmt"
)

func jumpLoong64(word string) bool {
	switch word {