Benchmark: hash-sum vs object-hash integers

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/hash-sum@2.0.0/hash-sum.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/object-hash@2.0.3/dist/object_hash.min.js"></script>

Script Preparation code:

context1 = 42;
context2 = 42;

Tests:

Sum
sum(context1) === sum(context2)
Object-hash
objectHash(context1) === objectHash(context2)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Sum
Object-hash

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

I'll break down the provided benchmark definition and test cases to help understand what's being tested.

**Benchmark Definition**

The JSON data represents a JavaScript microbenchmark, which is a small piece of code designed to measure the performance of specific parts of a program. In this case, two benchmarks are defined:

1. "hash-sum vs object-hash integers"
2. A single test case with two sub-benchmarks:
	* "Sum"
	* "Object-hash"

**Options Compared**

The two options being compared are:

1. `sum` (from the `hash-sum` library)
2. `objectHash` (from the `object-hash` library)

These functions are used to calculate the sum of two numbers.

**Pros and Cons of Each Approach**

Here's a brief analysis of each approach:

* **`sum` from `hash-sum` library**:
	+ Pros: This implementation likely uses a simple arithmetic formula, which is efficient for small integers. The `hash-sum` library might provide optimizations specific to this use case.
	+ Cons: For very large integers or performance-critical code, another approach might be more suitable.
* **`objectHash` from `object-hash` library**:
	+ Pros: This implementation likely uses a hash function that's optimized for small integers and has good cache locality. The `object-hash` library might provide better performance in certain scenarios.
	+ Cons: The `objectHash` function might introduce overhead due to its more complex algorithm, potentially affecting performance.

**Library Descriptions**

1. **`hash-sum` library**: This library provides a simple, efficient implementation of the sum function. It's likely designed for use cases like this benchmark, where small integers are involved.
2. **`object-hash` library**: This library provides a hash function that can be used to calculate the hash of an object (including integers). The `objectHash` function might be more suitable for use cases where you need to calculate hashes or need better cache locality.

**Special JS Feature/ Syntax**

There are no special JavaScript features or syntax used in this benchmark. It only uses standard JavaScript functions and libraries.

**Other Alternatives**

If you wanted to compare other options, you could consider using:

1. Built-in JavaScript functions: You could use the `+` operator (addition) instead of a library function.
2. Other hash-sum libraries: There are other implementations available, such as `hashsum.js`.
3. Other hashing libraries: Depending on your requirements, you might want to explore other libraries that provide more advanced hash functions.

In summary, this benchmark compares the performance of two options for calculating the sum of integers: the `sum` function from the `hash-sum` library and the `objectHash` function from the `object-hash` library. The choice between these options depends on your specific requirements and performance characteristics.

Related benchmarks:

hash-sum vs object-hash integers (version: 0)

Comparing performance of: Sum vs Object-hash

Created: 3 years ago by: Guest

Jump to the latest result

Sum

Object-hash

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):