After reviewing the feedback on your query and considering the suggestions presented here, my recommendation is to simply "polyfill" the toSpliced
method and act as if it has always been a part of the platform.
Below is a functional implementation of this method:
Array.prototype.toSpliced ??= function(...args) {
const copy = Array.from(this);
copy.splice(...args);
return copy;
}
By utilizing toSpliced
, you can seamlessly integrate it into your codebase, regardless of whether it is natively supported or added externally. For instance, Firefox introduced support for toSpliced
approximately 11 months ago. Once the platform adoption is extensive enough for your application, you can remove the polyfill without any repercussions.
Notably, the use of toSpliced
facilitates chaining operations, aligning with the recommendations provided in another response:
[2, 3, 4]
.map(a => a + 1)
.toSpliced(0, 0, 7)
.map(a => a * 10)
Regarding the decision to rely on polyfilling, the existence of standardized toSpliced
method across major implementations implies its permanence. While some features may be deprecated over time, they are seldomly removed abruptly. Thus, leveraging polyfills ensures seamless integration of essential functionalities despite varied platform support, preserving the integrity of your codebase.
Reflections on immutable data structures, functional programming, and data copying overhead
In general, I advocate prioritizing code clarity over performance concerns unless optimization is a critical imperative. Embracing paradigms like map-reduce signifies a certain level of optimization already, rendering overarching concerns about sluggishness unnecessary. JavaScript environments exhibit a dual nature—capable of executing scripts efficiently while also demanding careful handling, particularly when manipulating arrays. Striking a balance between readability and efficiency stands paramount, recognizing that premature optimizations often yield negligible benefits. By encapsulating intricate chains within methods, you retain flexibility to optimize selectively if performance profiling warrants drastic enhancements.