Compare loop performance

Testing DOHSIM shuffled performance of find vs for

Testing DOHSIM shuffled performance of find vs for

Testing DOHSIM performance of find vs for

A benchmark for solutions that provide accurate decimal rounding, flooring, and ceiling to a specific number of decimal places. These solutions treat floats more like decimals by fixing the binary rounding issues to avoid unexpected results. Solution 1: converting the number to a string in the exponential notation (e.g., num + "e" + decimalPlaces). Solution 2: purely mathematical (Number.EPSILON) Solution 3: double rounding. This solution uses the Number.prototype.toPrecision() method to strip the floating-point round-off errors. Solution 4: double rounding v2. This solution is just like Solution 3, however it uses a custom toPrecision() function.

Comparing uniq vs new Set using a mid-sized array (length: 239) of datetime strings.

faster

Test speed of object access by key vs array find to find object

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