regexp = new RegExp(/([0-9]+|.{2})/g)
lengthRegexp = new RegExp(/[^0-9]/g)
testString = '99ee'
const matches = regexp.test(testString)
const matches = testString.replace(lengthRegexp, '').length || testString.length > 1
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
match | |
length |
Test name | Executions per second |
---|---|
match | 1336503.5 Ops/sec |
length | 1020148.1 Ops/sec |
Let's break down the provided JSON data to understand what is being tested in this JavaScript microbenchmark.
Benchmark Overview
The benchmark compares two approaches: using a regular expression (regexp
) and calculating the length of a string minus the number of non-digit characters (lengthRegexp
). The test cases are designed to measure the performance difference between these two methods for matching or replacing specific patterns in a string.
Regular Expression Approach (regexp)
[0-9]+
) followed by either a digit or at least two characters (.{2}
) using a regular expression.RegExp
constructor is used to create a new regular expression object, which provides various methods for searching and manipulating strings.g
for global search) to improve performance.Length Calculation Approach
[^0-9]
) and the other being the original string minus these non-digit characters.Other Considerations
testString = '99ee'
is used consistently across both test cases, ensuring that the results are comparable. However, it's worth noting that this string may contain more than just non-digit characters (e.g., letters), which might affect the performance difference between the two approaches.g
in the regular expression can significantly impact performance, but it's not mentioned in the provided JSON data.Alternatives
Other alternatives for benchmarking JavaScript string manipulation could include:
testString.slice(0, 3)
) or indexing (testString[0]
).lodash
which provides optimized string manipulation functions (e.g., _.slice
, _.indexOf
).String.prototype.indexOf
, String.prototype.replace
) versus third-party libraries or custom implementations.These alternatives would require additional setup and configuration to produce comparable results, but they might provide more accurate representations of real-world use cases or specific requirements.