Let's reinforce the theory we've learned with one practical example that shows a typical application of subtype polymorphism.
Imagine the task of calculating the cost of travel insurance. The cost of insurance depends on a large number of factors. Some factors can affect how companies calculate the price by changing the formula itself.
In the case of insurance, there is likely one formula where the values are substituted, and the calculation happens in one go. The main thing for us now is the concept itself, not precise knowledge of the inner workings of the insurance business.
If you solve this problem head-on, it will look like a big mess of calculations with many conditional constructs. Over time, such a code becomes extremely difficult to read because of the many states you keep in mind:
Is there any way to make the code clearer and easier to understand? Sometimes yes. Of all the factors involved in the calculation, you should try to find those that affect it globally. They manifest as a global if at the top level.
Let's assume that in the case of insurance, it's age. We believe that age determines the formula for calculating the cost of insurance.
The next step is to look at the branches in this conditional design and specify the ranges. Let's say it looks like this:
- Under 18
- 18 to 24
- 24 to 65
- Older than 65
There's something important you need to take note of. Above, we agreed that each age group determines the algorithm for calculating the insurance cost. They're independent of each other, although the calculation process itself may be similar in places (and most likely will be).
Now let's move from the logical structure to the code. Each age group is the class responsible for calculating the cost for that group:
The main thing we got was to divide the calculation process into independent blocks of code, which are easier to understand. Each such class is called a strategy (computation).
It's important for the strategy not to be an abstraction, an object with a state and lifetime. Therefore, we pass to the constructor not the data but the method itself.
In essence, it's an ordinary function packed into a class with only one purpose: to get subtype polymorphism. We can do this via the function dispatching by keys to simplify the code.
Next, the following question arises: how and where do we choose the implementation to work with? There are several options here.
We can delegate the choice of implementation to an external code. If we apply dependency inversion, that means we're working with a ready-made strategy:
So far, we've only gotten away from the problem; we haven't solved it. Either way, there will be code somewhere that contains either a conditional construct or implements one of the dispatching methods we covered in previous lessons. In the simplest case, this code would look like this:
As you can see from the examples above, there'll be more code using the strategy, but not as much as if you were to use the dispatching of functions by associative array keys.
It applies to virtually all situations where subtype polymorphism is involved in JavaScript. It is the price you have to pay for a division that simplifies code expansion and reduces its complexity.
On the other hand, it is easy to fall into the trap and, conversely, make the code even more complex than it was before the introduction of subtype polymorphism.
This polymorphism makes the code verbose and overly abstract if applied mindlessly. You don't need expansion as often as people say you do. Moreover, you can invert dependencies as you go along whenever you need to.
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The cost of insurance depends on a large number of factors. Some factors can affect how companies calculate the price by changing the formula itself.\n\nIn the case of insurance, there is likely one formula where the values are substituted, and the calculation happens in one go. The main thing for us now is the concept itself, not precise knowledge of the inner workings of the insurance business.\n\nIf you solve this problem head-on, it will look like a big mess of calculations with many conditional constructs. Over time, such a code becomes extremely difficult to read because of the many states you keep in mind:\n\n```javascript\n// A few examples we came up with\nif (age < 18) {\n let cost = salary * age;\n\n if (country === 'uganda') {\n cost = cost / 2;\n }\n} else if (age >= 18 && age < 24) {\n // ...\n}\n```\n\nIs there any way to make the code clearer and easier to understand? Sometimes yes. Of all the factors involved in the calculation, you should try to find those that affect it globally. They manifest as a global `if` at the top level.\n\nLet's assume that in the case of insurance, it's age. We believe that age determines the formula for calculating the cost of insurance.\n\nThe next step is to look at the branches in this conditional design and specify the ranges. Let's say it looks like this:\n\n* Under 18\n* 18 to 24\n* 24 to 65\n* Older than 65\n\nThere's something important you need to take note of. Above, we agreed that each age group determines the algorithm for calculating the insurance cost. They're independent of each other, although the calculation process itself may be similar in places (and most likely will be).\n\nNow let's move from the logical structure to the code. Each age group is the class responsible for calculating the cost for that group:\n\n```javascript\nclass LessThan18 {\n // Parameters are the factors on which the calculation is based\n calculate(params) {\n // Here we count and return the result\n }\n}\n\n// The name is not that great. In real code you should think of something more meaningful\nclass MoreThan18AndLessThan24 {\n // The structure of the parameters must be 100% the same as the rest of the classes,\n // since only in this case is polymorphism possible\n calculate(params) {\n // Here we count and return the result\n }\n}\n\n// Other classes\n```\n\nThe main thing we got was to divide the calculation process into independent blocks of code, which are easier to understand. Each such class is called a strategy (computation).\n\nIt's important for the strategy not to be an abstraction, an object with a state and lifetime. Therefore, we pass to the constructor not the data but the method itself.\n\nIn essence, it's an ordinary function packed into a class with only one purpose: to get subtype polymorphism. We can do this via the function dispatching by keys to simplify the code.\n\nNext, the following question arises: how and where do we choose the implementation to work with? There are several options here.\n\nWe can delegate the choice of implementation to an external code. If we apply dependency inversion, that means we're working with a ready-made strategy:\n\n```javascript\ncalculateCost(strategy, params) {\n strategy.calculate(params);\n}\n```\n\nSo far, we've only gotten away from the problem; we haven't solved it. Either way, there will be code somewhere that contains either a conditional construct or implements one of the dispatching methods we covered in previous lessons. In the simplest case, this code would look like this:\n\n```javascript\nchooseCostInsuranceStrategy(user) {\n if (user.getAge() < 18) {\n return new LessThan18();\n } else if (/* ... */) {\n // some code\n }\n}\n\nstrategy = chooseCostInsuranceStrategy(user);\nstrategy.calculate(params);\n```\n\nAs you can see from the examples above, there'll be more code using the strategy, but not as much as if you were to use the dispatching of functions by associative array keys.\n\nIt applies to virtually all situations where subtype polymorphism is involved in JavaScript. It is the price you have to pay for a division that simplifies code expansion and reduces its complexity.\n\nOn the other hand, it is easy to fall into the trap and, conversely, make the code even more complex than it was before the introduction of subtype polymorphism.\n\nThis polymorphism makes the code verbose and overly abstract if applied mindlessly. You don't need expansion as often as people say you do. Moreover, you can invert dependencies as you go along whenever you need to.\n"},"lessonMember":null,"courseMember":null,"course":{"start_lesson":{"exercise":null,"units":[{"id":7814,"name":"theory","url":"/courses/js-polymorphism/lessons/about/theory_unit"}],"links":[],"ordered_units":[{"id":7814,"name":"theory","url":"/courses/js-polymorphism/lessons/about/theory_unit"}],"id":3477,"slug":"about","state":"approved","name":"About","course_order":10,"goal":"Learn about the course, its structure, objectives and goals.","self_study":null,"theory_video_provider":null,"theory_video_uid":null,"theory":"OOP is a complex concept with many aspects to formalize. Moreover, programmers have used the word OOP to denote different things at different times. There are at least two kinds of OOP:\n\n* OOP, formulated by Alan Kay, the creator of Smalltalk\n* OOP with polymorphism, inheritance, and encapsulation, described by Grady Butch\n\nThe modern OOP usually refers to the latter, although the former is alive and well in many languages.\n\nBut when we discuss the second kind of OOP, we still emphasize different features in different languages. Something considered a sign of true OOP in some languages is unacceptable in others.\n\nIf we try to generalize somehow and find the most fundamental thing about all OOP languages, we will find the **polymorphism of subtypes** as a common ground.\n\n> Polymorphism of subtypes is probably the most important feature of modern object-oriented programming. Benjamin Pierce. Author of Types and Programming Languages\n\nIn this course, we will take an in-depth look at polymorphism. The mechanisms of its implementation, and, most importantly, learn how to apply it correctly. The main topics of this course are:\n\n* Types of polymorphism: subtype and parametric\n* Dispatching and types of dispatching\n* Dependency inversion and injection\n* DI container\n* [SOLID](https://en.wikipedia.org/wiki/SOLID) (SRP, OCP, LSP, ISR, DIP)\n\nIn addition, we will get acquainted with the concept of **design patterns**. Let us analyze their influence on code structure and get acquainted with some popular ones:\n\n* Null Object\n* Strategy\n* Factory\n\nLet us talk about when polymorphism is necessary. When it is not, or when it can even be harmful. We will look at several techniques that allow you to get polymorphic behavior without using objects. To do this, we'll look at the different types of dispatching.\n"},"id":335,"slug":"js-polymorphism","challenges_count":0,"name":"JS: Polymorphism","allow_indexing":true,"state":"approved","course_state":"finished","pricing_type":"paid","description":"Polymorphism (of subtypes) – the main distinguishing feature of modern OOP. 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class="mantine-focus-auto mantine-active m_77c9d27d mantine-Button-root m_87cf2631 mantine-UnstyledButton-root" data-variant="gradient" data-size="xs" href="/u/new"><span class="m_80f1301b mantine-Button-inner"><span class="m_811560b9 mantine-Button-label">Sign up</span></span></a></div></div></div></div></div><div class="paywalled m_d08caa0 mantine-Typography-root"><p>Let's reinforce the theory we've learned with one practical example that shows a typical application of subtype polymorphism.</p>
<p>Imagine the task of calculating the cost of travel insurance. The cost of insurance depends on a large number of factors. Some factors can affect how companies calculate the price by changing the formula itself.</p>
<p>In the case of insurance, there is likely one formula where the values are substituted, and the calculation happens in one go. The main thing for us now is the concept itself, not precise knowledge of the inner workings of the insurance business.</p>
<p>If you solve this problem head-on, it will look like a big mess of calculations with many conditional constructs. Over time, such a code becomes extremely difficult to read because of the many states you keep in mind:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">// A few examples we came up with
if (age < 18) {
let cost = salary * age;
if (country === 'uganda') {
cost = cost / 2;
}
} else if (age >= 18 && age < 24) {
// ...
}</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>Is there any way to make the code clearer and easier to understand? Sometimes yes. Of all the factors involved in the calculation, you should try to find those that affect it globally. They manifest as a global <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">if</code> at the top level.</p>
<p>Let's assume that in the case of insurance, it's age. We believe that age determines the formula for calculating the cost of insurance.</p>
<p>The next step is to look at the branches in this conditional design and specify the ranges. Let's say it looks like this:</p>
<ul>
<li>Under 18</li>
<li>18 to 24</li>
<li>24 to 65</li>
<li>Older than 65</li>
</ul>
<p>There's something important you need to take note of. Above, we agreed that each age group determines the algorithm for calculating the insurance cost. They're independent of each other, although the calculation process itself may be similar in places (and most likely will be).</p>
<p>Now let's move from the logical structure to the code. Each age group is the class responsible for calculating the cost for that group:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">class LessThan18 {
// Parameters are the factors on which the calculation is based
calculate(params) {
// Here we count and return the result
}
}
// The name is not that great. In real code you should think of something more meaningful
class MoreThan18AndLessThan24 {
// The structure of the parameters must be 100% the same as the rest of the classes,
// since only in this case is polymorphism possible
calculate(params) {
// Here we count and return the result
}
}
// Other classes</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>The main thing we got was to divide the calculation process into independent blocks of code, which are easier to understand. Each such class is called a strategy (computation).</p>
<p>It's important for the strategy not to be an abstraction, an object with a state and lifetime. Therefore, we pass to the constructor not the data but the method itself.</p>
<p>In essence, it's an ordinary function packed into a class with only one purpose: to get subtype polymorphism. We can do this via the function dispatching by keys to simplify the code.</p>
<p>Next, the following question arises: how and where do we choose the implementation to work with? There are several options here.</p>
<p>We can delegate the choice of implementation to an external code. If we apply dependency inversion, that means we're working with a ready-made strategy:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">calculateCost(strategy, params) {
strategy.calculate(params);
}</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>So far, we've only gotten away from the problem; we haven't solved it. Either way, there will be code somewhere that contains either a conditional construct or implements one of the dispatching methods we covered in previous lessons. In the simplest case, this code would look like this:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">chooseCostInsuranceStrategy(user) {
if (user.getAge() < 18) {
return new LessThan18();
} else if (/* ... */) {
// some code
}
}
strategy = chooseCostInsuranceStrategy(user);
strategy.calculate(params);</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>As you can see from the examples above, there'll be more code using the strategy, but not as much as if you were to use the dispatching of functions by associative array keys.</p>
<p>It applies to virtually all situations where subtype polymorphism is involved in JavaScript. It is the price you have to pay for a division that simplifies code expansion and reduces its complexity.</p>
<p>On the other hand, it is easy to fall into the trap and, conversely, make the code even more complex than it was before the introduction of subtype polymorphism.</p>
<p>This polymorphism makes the code verbose and overly abstract if applied mindlessly. You don't need expansion as often as people say you do. 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