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Comparing onchange and oninput
We learned how to change the font size in an article when a user moves the slider. But it can be inconvenient when using our current configuration because the text will change too dramatically. This is because the onchange event handler is only triggered when the user releases the slider after moving it. As a result, the text only changes once, and it can be abrupt.
In order for the text to change more smoothly, we need to change the font size many times, but gradually. To do this, you need to obtain a new value each time the position of the slider is changed. The oninput event handler can help us do this. We already worked with it in one of the previous chapters.
Let’s figure out what the difference is between the two handlers:
onchangeis triggered if the value of the input field has changed and the user has finished entering input. For example, if the user moved the slider and released it, or if they entered something in the text field but then moved the cursor away from it.oninputis triggered for every change of value regardless of whether the user finished entering text or not. For example, it is triggered for every change of position of the slider, even if the user continues to move it. Similarly, it is triggered for every new character that is entered in the text field, even if the user continues to enter text.
Let’s make it pleasanter to adjust the font size. To do this, change the onchange handler to oninput. After that, make sure that the text in the article changes smoothly and not abruptly.
When we change the size of elements, the browser must redraw the page. This is a resource-intensive operation, and it should be performed as rarely as possible. Use the oninput handler carefully.
You can learn about how the browser handles various changes and animations by reading this article.
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<select class="filter background-setting" name="background-color">
<option value="inherit" selected>Default</option>
<option value="black">Black</option>
<option value="white">White</option>
<option value="ghostwhite">Light gray</option>
<option value="pink">Pink</option>
<option value="darkred">Dark red</option>
<option value="darkorange">Orange</option>
<option value="saddlebrown">Brown</option>
<option value="gold">Gold</option>
<option value="greenyellow">Lime green</option>
<option value="forestgreen">Green</option>
<option value="aquamarine">Aquamarine</option>
<option value="lightskyblue">Sky blue</option>
<option value="lightsteelblue">Gray blue</option>
<option value="darkblue">Navy blue</option>
<option value="indigo">Indigo</option>
<option value="mediumpurple">Violet</option>
<option value="purple">Purple</option>
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<h1>Why Do We Need Algorithms?</h1>
<p>Many people are afraid of the word "algorithm." It can seem to them that this is something complicated, but in reality it is just a complete set of instructions. It turns out that you use algorithms in your everyday life, such as, for example, when you cook according to a recipe, or you get from point A to point B using your GPS navigation, or you solve a quadratic equation.</p>
<p>When developers talk about algorithms, they are not referring to just any kind of algorithm, but only to what are considered the popular solutions to standard problems. Many algorithms were invented even before there were computers: for example, the radix sorting algorithm was patented in the United States in the nineteenth century to process census data.</p>
<p>Various algorithms can be used effectively to solve the same problem. Imagine that you have a list in which you want to find an element. Let's assume that this is a list of products for sale in an online store, and the user enters a product name in the filter that starts with the letter "E". How can we do that?</p>
<p>If the list is sorted alphabetically, then a binary search is the most suitable: you look in the middle of the list and find a product there whose name begins with "K", for example. The list is sorted, so you know for sure that the product you need is on the left side of the list, because "E" occurs before "K" in the alphabet. Now take the left side of the list and perform another binary search on it.</p>
<p>If the list is not sorted, then a brute force search is better. According to this method, you go through the list from the beginning to the end until you find the element that you are interested in. In the worst case scenario, you will have to look through all of the elements, but then at least you will have advanced knowledge of the amount of time that is required to find the desired item.</p>
<p>You need to select the appropriate algorithm for the problem at hand. Gain an understanding of the data that you are working with, and build on that.</p>
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/* Longread styles */
.controls {
padding: 16px 0 6px;
overflow-x: hidden;
}
.controls label {
font-size: 14px;
line-height: 24px;
margin-bottom: 14px;
}
.color-filters {
display: flex;
margin-right: -20px;
}
.color-filters label {
display: flex;
flex-direction: column;
flex-grow: 1;
margin-right: 20px;
}
.color-filters .filter {
margin-top: 4px;
}
.controls .filter {
margin-left: 0;
}
.longread {
min-height: calc(100vh - 237px);
padding-bottom: 1em;
font-size: 14px;
}
.longread h1 {
margin: 1em 0 0.6em;
line-height: 1.2;
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margin: 0 0 0.8em;
line-height: 1.6;
}
/* Cross-browser range input without JavaScript */
.size-setting {
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-moz-appearance: none;
appearance: none;
display: block;
width: 100%;
height: 10px;
margin-top: 8px;
padding: 2px 0;
border-radius: 5px;
outline-offset: 0;
}
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box-sizing: border-box;
-webkit-appearance: none;
width: 20px;
height: 20px;
border-radius: 50%;
}
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box-sizing: border-box;
-moz-appearance: none;
width: 20px;
height: 20px;
border-radius: 50%;
}
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}
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background-color: #ffffff;
border: 5px solid #6653d9;
}
.light-theme .size-setting::-moz-range-thumb {
background-color: #ffffff;
border: 5px solid #6653d9;
}
.light-theme .size-setting::-ms-thumb {
background-color: #ffffff;
border: 5px solid #6653d9;
}
.light-theme .size-setting::-webkit-slider-thumb:active {
background-color: #6653d9;
}
.light-theme .size-setting::-moz-range-thumb:active {
background-color: #6653d9;
}
.light-theme .size-setting::-ms-thumb:active {
background-color: #6653d9;
}
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background-color: #0a0910;
color: #f2f2f2;
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background-color: #17161a;
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background-color: #0a0910;
box-shadow: inset 0 0 0 1px #473c8d;
outline-color: #6653d9;
}
.dark-theme .size-setting::-webkit-slider-thumb {
background-color: #0a0910;
border: 5px solid #9484f2;
}
.dark-theme .size-setting::-moz-range-thumb {
background-color: #0a0910;
border: 5px solid #9484f2;
}
.dark-theme .size-setting::-ms-thumb {
background-color: #0a0910;
border: 5px solid #9484f2;
}
.dark-theme .size-setting::-webkit-slider-thumb:active {
background-color: #9484f2;
}
.dark-theme .size-setting::-moz-range-thumb:active {
background-color: #9484f2;
}
.dark-theme .size-setting::-ms-thumb:active {
background-color: #9484f2;
}
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let sizeSetting = document.querySelector('.size-setting');
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longread.style.color = colorSetting.value;
};
sizeSetting.onchange = function () {
pixels.textContent = sizeSetting.value;
longread.style.fontSize = sizeSetting.value + 'px';
};
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let themeButton = document.querySelector('.theme-button');
themeButton.onclick = function () {
page.classList.toggle('light-theme');
page.classList.toggle('dark-theme');
};
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