*       <i>deeply</i> immutable.
 * </ul>
 *
 * <h4>Performance notes</h4>
 *
 * <ul>
 *   <li>Implementations can be generally assumed to prioritize memory efficiency, then speed of
 *       access, and lastly speed of creation.
 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is
 *       unnecessary; for example, {@code copyOf(copyOf(anArrayList))} should copy the data only

    hashFunctions[0] = Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    int seed = GOOD_FAST_HASH_SEED;
    for (int i = 1; i < hashFunctionsNeeded; i++) {
      seed += 1500450271; // a prime; shouldn't matter
      hashFunctions[i] = murmur3_128(seed);
    }
    return new ConcatenatedHashFunction(hashFunctions);
  }

  /**

#### Accepting multiple changes

If you have multiple changes to accept (and you're sure they ought to be accepted instead of corrected), you can use the `Accept Changes for all Errors` button to speed the process.
This button will cause a Javascript alert dialog to appear asking you to type a reason for accepting the changes, e.g. "Added new API for Gradle 8.x".

    @Required
    @Min(-1)
    @Max(1000)
    @ValidateTypeFailure
    public Integer dayForCleanup;

    /**
     * Number of threads to use for crawling operations.
     * Higher values increase crawling speed but consume more resources.
     */
    @Required
    @Min(0)
    @Max(100)
    @ValidateTypeFailure
    public Integer crawlingThreadCount;

    /**
     * Enable or disable search query logging.

import java.math.BigInteger;
import org.jspecify.annotations.Nullable;

/**
 * A wrapper class for unsigned {@code int} values, supporting arithmetic operations.
 *
 * <p>In some cases, when speed is more important than code readability, it may be faster simply to
 * treat primitive {@code int} values as unsigned, using the methods from {@link UnsignedInts}.
 *
 * <p>See the Guava User Guide article on <a

# Recommended: use a local+remote cache.
#
#   Bazel will cache your builds in tensorflow/build_output/cache,
#   and will also try using public build cache results to speed up
#   your builds. This usually saves a lot of time, especially when
#   re-running tests. However, note that:
#
#    - New environments like new CUDA versions, changes to manylinux,

import java.math.BigInteger;
import org.jspecify.annotations.Nullable;

/**
 * A wrapper class for unsigned {@code long} values, supporting arithmetic operations.
 *
 * <p>In some cases, when speed is more important than code readability, it may be faster simply to
 * treat primitive {@code long} values as unsigned, using the methods from {@link UnsignedLongs}.
 *
 * <p>See the Guava User Guide article on <a

- Modify directory listing operations for caching
- Update change notification handling

---

### Phase 5: RDMA (SMB Direct) Support
**Priority: LOW** | **Estimated Effort: 8-10 weeks**

RDMA provides high-speed, low-latency data transfer for supported network adapters.

#### 5.1 Core RDMA Infrastructure
```
Package: jcifs.internal.smb2.rdma
├── RdmaTransport.java           - RDMA transport implementation

[![MinIO](https://raw.githubusercontent.com/minio/minio/master/.github/logo.svg?sanitize=true)](https://min.io)

MinIO is a high-performance, S3-compatible object storage solution released under the GNU AGPL v3.0 license.
Designed for speed and scalability, it powers AI/ML, analytics, and data-intensive workloads with industry-leading performance.

- S3 API Compatible – Seamless integration with existing S3 tools

type StandardClaims struct {
	AccessKey string `json:"accessKey,omitempty"`
	jwtgo.StandardClaims
}

// UnmarshalJSON provides custom JSON unmarshal.
// This is mainly implemented for speed.
func (c *StandardClaims) UnmarshalJSON(b []byte) (err error) {
	return jsonparser.ObjectEach(b, func(key []byte, value []byte, dataType jsonparser.ValueType, _ int) error {
		if len(key) == 0 {
			return nil
		}