Benchmark: check regex vs split4

Script Preparation code:

var tester = /^[-!#$%&'*+\/0-9=?A-Z^_a-z`{|}~](\.?[-!#$%&'*+\/0-9=?A-Z^_a-z`{|}~])*@[a-zA-Z0-9](-*\.?[a-zA-Z0-9])*\.[a-zA-Z](-?[a-zA-Z0-9])+$/;
var email = "valid@gmail.com"
var email2 = "invalidgmail.com"

Tests:

regex
if (!tester.test(email)) return false; var emailParts = email.split('@'); var account = emailParts[0]; var address = emailParts[1]; if (account.length > 64) return false; else if (address.length > 255) return false; var domainParts = address.split('.'); if (domainParts.some(function (part) { return part.length > 63; })) return false;
Other
var emailParts = email.split('@'); var account = emailParts[0]; var address = emailParts[1]; if (account.length > 64) return false; else if (address.length > 255) return false; var domainParts = address.split('.'); if (domainParts.some(function (part) { return part.length > 63; })) return false; if (!tester.test(email)) return false; return true;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
regex
Other

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and its options.

**Benchmark Definition:**

The benchmark tests two approaches to validate an email address:

1. **Regex (Regular Expression)**: The first approach uses a regular expression to check if the email address is valid. The regex pattern `^[-!#$%&'*+\\/0-9=?A-Z^_a-z`{|}~](\\.?[-!#$%&'*+\\/0-9=?A-Z^_a-z`{|}~])*@[a-zA-Z0-9](-*\\.?[a-zA-Z0-9])+\\.[a-zA-Z](-?[a-zA-Z0-9]+)$` is used to match the email format. The pattern breaks down as follows:
	* `^` matches the start of the string.
	* `[-!#$%&'*+\\/0-9=?A-Z^_a-z`{|}~]` matches any character in the allowed set (except newline).
	* `(\\.?[-!#$%&'*+\\/0-9=?A-Z^_a-z`{|}~])*` matches zero or more occurrences of a dot followed by any character in the allowed set.
	* `@` matches the at symbol literally.
	* `[a-zA-Z0-9](-*\\.?[a-zA-Z0-9])+\\.` matches the local part of the email address (letters, numbers, and hyphens) followed by a dot.
	* `[a-zA-Z](-?[a-zA-Z0-9]+)` matches the top-level domain (letters and hyphenated letters).
2. **Split**: The second approach uses string splitting to validate the email address.

**Options Compared:**

The benchmark compares two options:

1. Using a regular expression to validate the email address.
2. Splitting the email address into local part and domain, and then validating each part separately.

**Pros and Cons:**

**Regex Approach:**

Pros:

* More efficient and compact than splitting the string.
* Can be more accurate if the regex pattern is well-written.

Cons:

* May be slower for very large or complex emails.
* Requires careful crafting of the regex pattern to avoid false positives.

**Split Approach:**

Pros:

* Faster for very large or complex emails, as it avoids creating a temporary regex object.
* Easier to understand and maintain if you're not familiar with regex patterns.

Cons:

* May be slower overall due to string splitting overhead.
* Requires more code and complexity to validate both local part and domain correctly.

**Other Considerations:**

* Email validation is a complex task, and no approach is perfect. You may need to adjust the regex pattern or splitting logic to accommodate special cases.
* The benchmark uses a simple test case with a valid email address. In real-world scenarios, you should test with a variety of edge cases, including invalid emails.

**Library Used:**

None explicitly mentioned in the provided code snippets. However, it's likely that the `tester` variable is used as an instance of the `RegExp` class or another regex library.

**Special JS Feature/Syntax:**

The benchmark doesn't mention any special JavaScript features or syntax beyond regular expressions and string splitting.

Related benchmarks:

check regex vs split4 (version: 0)

Comparing performance of: regex vs Other

Created: 2 years ago by: Guest

Jump to the latest result

regex

Other

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):