Benchmark: Find_the_substring

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Tests:

16 byte pieses
function version_1() { let find_text = []; for (var x = 16; x < text.length; x += 1) { let sum = 0; for (let i = 0; i < x; i += 1) { var m = text.slice(x-16, x); //Отделили кусок текста в 16 символов sum += m.split(m[i]).length - 1; //Колличество символов в строке } if (sum <= 16) { find_text.push(m); console.log(m); } } if (find_text.length == 0) { alert("В тексте нет 16 байтного кода в котором небыло бы повторяющихся символов"); } else { console.log(find_text); alert("Найдено " + find_text.length + " cтроки с 16 байтами не повторяющихся символов: " + find_text.join(", ")); } };
Step by step
function version_2() { let solution = ""; let find_text = []; for (var i = 0; i < text.length; i += 1) { if (solution.indexOf(text[i]) !== -1) { solution = solution.substring(solution.indexOf(text[i]) + 1); solution += text[i]; } else { solution += text[i]; if (solution.length == 16) { find_text.push(solution); solution = solution.substring(1); } } } if (find_text.length == 0) { alert("В тексте нет 16 байтного кода в котором небыло бы повторяющихся символов"); } else { console.log(find_text); alert("Найдено " + find_text.length + " cтроки с 16 байтами не повторяющихся символов: " + find_text.join(", ")); } };

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
16 byte pieses
Step by step

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 5 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.79 Safari/537.36

Browser/OS: Chrome 79 on Mac OS X 10.15.1

View result in a separate tab

Test name	Executions per second
16 byte pieses	723493440.0 Ops/sec
Step by step	741674944.0 Ops/sec

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

LLMs can make mistakes. Check important info.

The task appears to be analyzing and comparing the performance of two different benchmarking functions, `version_1` and `version_2`, which are designed to find 16-byte substrings without repeated characters in a given text string.

Given the provided test cases and latest benchmark result:

**Test Cases:**

1. `version_1`: This function iterates through the text, slicing it into 16-character substrings and checks for unique characters.
2. `version_2`: This function builds a solution string by concatenating characters from the original text. If the length of the solution string reaches 16, it's added to the list of results.

**Latest Benchmark Result:**

The result shows that `version_2` outperforms `version_1`, with an execution count per second significantly higher (741674944.0 vs 723493440.0). This suggests that `version_2` is more efficient in finding 16-byte substrings without repeated characters.

However, without knowing the exact implementation details of both functions, it's challenging to provide a definitive answer on which one is better or why.

**Reasoning:**

1. **Efficiency**: The comparison shows that `version_2` has higher execution counts per second, indicating potential efficiency improvements.
2. **Code Complexity**: Both functions have similar structures, but the logic in `version_2` might be more optimized for performance.
3. **Memory Usage**: There is no information about memory usage, which could impact performance.

**Next Steps:**

1. **Implementations Comparison**: Review both implementations to identify potential areas of improvement or differences in efficiency.
2. **Test Data Analysis**: Investigate how the test data affects performance and consider optimizing for different scenarios.
3. **Code Optimization Techniques**: Apply techniques such as caching, memoization, or parallel processing to improve the overall performance.

Please provide more context or clarify specific requirements before proceeding further.

Related benchmarks:

Find_the_substring (version: 0)

Comparing performance of: 16 byte pieses vs Step by step

Created: 5 years ago by: Registered User

Jump to the latest result

16 byte pieses

Step by step

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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