.
if(!$target.is('li')) {
$target = $target.closest('li');
}
unevenOffset = (_.slideCount % _.options.slidesToScroll !== 0);
indexOffset = unevenOffset ? 0 : (_.slideCount - _.currentSlide) % _.options.slidesToScroll;
switch (event.data.message) {
case 'previous':
slideOffset = indexOffset === 0 ? _.options.slidesToScroll : _.options.slidesToShow - indexOffset;
if (_.slideCount > _.options.slidesToShow) {
_.slideHandler(_.currentSlide - slideOffset, false, dontAnimate);
}
break;
case 'next':
slideOffset = indexOffset === 0 ? _.options.slidesToScroll : indexOffset;
if (_.slideCount > _.options.slidesToShow) {
_.slideHandler(_.currentSlide + slideOffset, false, dontAnimate);
}
break;
case 'index':
var index = event.data.index === 0 ? 0 :
event.data.index || $target.index() * _.options.slidesToScroll;
_.slideHandler(_.checkNavigable(index), false, dontAnimate);
$target.children().trigger('focus');
break;
default:
return;
}
};
Slick.prototype.checkNavigable = function(index) {
var _ = this,
navigables, prevNavigable;
navigables = _.getNavigableIndexes();
prevNavigable = 0;
if (index > navigables[navigables.length - 1]) {
index = navigables[navigables.length - 1];
} else {
for (var n in navigables) {
if (index < navigables[n]) {
index = prevNavigable;
break;
}
prevNavigable = navigables[n];
}
}
return index;
};
Slick.prototype.cleanUpEvents = function() {
var _ = this;
if (_.options.dots && _.$dots !== null) {
$('li', _.$dots)
.off('click.slick', _.changeSlide)
.off('mouseenter.slick', $.proxy(_.interrupt, _, true))
.off('mouseleave.slick', $.proxy(_.interrupt, _, false));
if (_.options.accessibility === true) {
_.$dots.off('keydown.slick', _.keyHandler);
}
}
_.$slider.off('focus.slick blur.slick');
if (_.options.arrows === true && _.slideCount > _.options.slidesToShow) {
_.$prevArrow && _.$prevArrow.off('click.slick', _.changeSlide);
_.$nextArrow && _.$nextArrow.off('click.slick', _.changeSlide);
if (_.options.accessibility === true) {
_.$prevArrow && _.$prevArrow.off('keydown.slick', _.keyHandler);
_.$nextArrow && _.$nextArrow.off('keydown.slick', _.keyHandler);
}
}
_.$list.off('touchstart.slick mousedown.slick', _.swipeHandler);
_.$list.off('touchmove.slick mousemove.slick', _.swipeHandler);
_.$list.off('touchend.slick mouseup.slick', _.swipeHandler);
_.$list.off('touchcancel.slick mouseleave.slick', _.swipeHandler);
_.$list.off('click.slick', _.clickHandler);
$(document).off(_.visibilityChange, _.visibility);
_.cleanUpSlideEvents();
if (_.options.accessibility === true) {
_.$list.off('keydown.slick', _.keyHandler);
}
if (_.options.focusOnSelect === true) {
$(_.$slideTrack).children().off('click.slick', _.selectHandler);
}
$(window).off('orientationchange.slick.slick-' + _.instanceUid, _.orientationChange);
$(window).off('resize.slick.slick-' + _.instanceUid, _.resize);
$('[draggable!=true]', _.$slideTrack).off('dragstart', _.preventDefault);
$(window).off('load.slick.slick-' + _.instanceUid, _.setPosition);
};
Slick.prototype.cleanUpSlideEvents = function() {
var _ = this;
_.$list.off('mouseenter.slick', $.proxy(_.interrupt, _, true));
_.$list.off('mouseleave.slick', $.proxy(_.interrupt, _, false));
};
Slick.prototype.cleanUpRows = function() {
var _ = this, originalSlides;
if(_.options.rows > 0) {
originalSlides = _.$slides.children().children();
originalSlides.removeAttr('style');
_.$slider.empty().append(originalSlides);
}
};
Slick.prototype.clickHandler = function(event) {
var _ = this;
if (_.shouldClick === false) {
event.stopImmediatePropagation();
event.stopPropagation();
event.preventDefault();
}
};
Slick.prototype.destroy = function(refresh) {
var _ = this;
_.autoPlayClear();
_.touchObject = {};
_.cleanUpEvents();
$('.slick-cloned', _.$slider).detach();
if (_.$dots) {
_.$dots.remove();
}
if ( _.$prevArrow && _.$prevArrow.length ) {
_.$prevArrow
.removeClass('slick-disabled slick-arrow slick-hidden')
.removeAttr('aria-hidden aria-disabled tabindex')
.css('display','');
if ( _.htmlExpr.test( _.options.prevArrow )) {
_.$prevArrow.remove();
}
}
if ( _.$nextArrow && _.$nextArrow.length ) {
_.$nextArrow
.removeClass('slick-disabled slick-arrow slick-hidden')
.removeAttr('aria-hidden aria-disabled tabindex')
.css('display','');
if ( _.htmlExpr.test( _.options.nextArrow )) {
_.$nextArrow.remove();
}
}
if (_.$slides) {
_.$slides
.removeClass('slick-slide slick-active slick-center slick-visible slick-current')
.removeAttr('aria-hidden')
.removeAttr('data-slick-index')
.each(function(){
$(this).attr('style', $(this).data('originalStyling'));
});
_.$slideTrack.children(this.options.slide).detach();
_.$slideTrack.detach();
_.$list.detach();
_.$slider.append(_.$slides);
}
_.cleanUpRows();
_.$slider.removeClass('slick-slider');
_.$slider.removeClass('slick-initialized');
_.$slider.removeClass('slick-dotted');
_.unslicked = true;
if(!refresh) {
_.$slider.trigger('destroy', [_]);
}
};
Slick.prototype.disableTransition = function(slide) {
var _ = this,
transition = {};
transition[_.transitionType] = '';
if (_.options.fade === false) {
_.$slideTrack.css(transition);
} else {
_.$slides.eq(slide).css(transition);
}
};
Slick.prototype.fadeSlide = function(slideIndex, callback) {
var _ = this;
if (_.cssTransitions === false) {
_.$slides.eq(slideIndex).css({
zIndex: _.options.zIndex
});
_.$slides.eq(slideIndex).animate({
opacity: 1
}, _.options.speed, _.options.easing, callback);
} else {
_.applyTransition(slideIndex);
_.$slides.eq(slideIndex).css({
opacity: 1,
zIndex: _.options.zIndex
});
if (callback) {
setTimeout(function() {
_.disableTransition(slideIndex);
callback.call();
}, _.options.speed);
}
}
};
Slick.prototype.fadeSlideOut = function(slideIndex) {
var _ = this;
if (_.cssTransitions === false) {
_.$slides.eq(slideIndex).animate({
opacity: 0,
zIndex: _.options.zIndex - 2
}, _.options.speed, _.options.easing);
} else {
_.applyTransition(slideIndex);
_.$slides.eq(slideIndex).css({
opacity: 0,
zIndex: _.options.zIndex - 2
});
}
};
Slick.prototype.filterSlides = Slick.prototype.slickFilter = function(filter) {
var _ = this;
if (filter !== null) {
_.$slidesCache = _.$slides;
_.unload();
_.$slideTrack.children(this.options.slide).detach();
_.$slidesCache.filter(filter).appendTo(_.$slideTrack);
_.reinit();
}
};
Slick.prototype.focusHandler = function() {
var _ = this;
_.$slider
.off('focus.slick blur.slick')
.on('focus.slick blur.slick', '*', function(event) {
event.stopImmediatePropagation();
var $sf = $(this);
setTimeout(function() {
if( _.options.pauseOnFocus ) {
_.focussed = $sf.is(':focus');
_.autoPlay();
}
}, 0);
});
};
Slick.prototype.getCurrent = Slick.prototype.slickCurrentSlide = function() {
var _ = this;
return _.currentSlide;
};
Slick.prototype.getDotCount = function() {
var _ = this;
var breakPoint = 0;
var counter = 0;
var pagerQty = 0;
if (_.options.infinite === true) {
if (_.slideCount <= _.options.slidesToShow) {
++pagerQty;
} else {
while (breakPoint < _.slideCount) {
++pagerQty;
breakPoint = counter + _.options.slidesToScroll;
counter += _.options.slidesToScroll <= _.options.slidesToShow ? _.options.slidesToScroll : _.options.slidesToShow;
}
}
} else if (_.options.centerMode === true) {
pagerQty = _.slideCount;
} else if(!_.options.asNavFor) {
pagerQty = 1 + Math.ceil((_.slideCount - _.options.slidesToShow) / _.options.slidesToScroll);
}else {
while (breakPoint < _.slideCount) {
++pagerQty;
breakPoint = counter + _.options.slidesToScroll;
counter += _.options.slidesToScroll <= _.options.slidesToShow ? _.options.slidesToScroll : _.options.slidesToShow;
}
}
return pagerQty - 1;
};
Slick.prototype.getLeft = function(slideIndex) {
var _ = this,
targetLeft,
verticalHeight,
verticalOffset = 0,
targetSlide,
coef;
_.slideOffset = 0;
verticalHeight = _.$slides.first().outerHeight(true);
if (_.options.infinite === true) {
if (_.slideCount > _.options.slidesToShow) {
_.slideOffset = (_.slideWidth * _.options.slidesToShow) * -1;
coef = -1
if (_.options.vertical === true && _.options.centerMode === true) {
if (_.options.slidesToShow === 2) {
coef = -1.5;
} else if (_.options.slidesToShow === 1) {
coef = -2
}
}
verticalOffset = (verticalHeight * _.options.slidesToShow) * coef;
}
if (_.slideCount % _.options.slidesToScroll !== 0) {
if (slideIndex + _.options.slidesToScroll > _.slideCount && _.slideCount > _.options.slidesToShow) {
if (slideIndex > _.slideCount) {
_.slideOffset = ((_.options.slidesToShow - (slideIndex - _.slideCount)) * _.slideWidth) * -1;
verticalOffset = ((_.options.slidesToShow - (slideIndex - _.slideCount)) * verticalHeight) * -1;
} else {
_.slideOffset = ((_.slideCount % _.options.slidesToScroll) * _.slideWidth) * -1;
verticalOffset = ((_.slideCount % _.options.slidesToScroll) * verticalHeight) * -1;
}
}
}
} else {
if (slideIndex + _.options.slidesToShow > _.slideCount) {
_.slideOffset = ((slideIndex + _.options.slidesToShow) - _.slideCount) * _.slideWidth;
verticalOffset = ((slideIndex + _.options.slidesToShow) - _.slideCount) * verticalHeight;
}
}
if (_.slideCount <= _.options.slidesToShow) {
_.slideOffset = 0;
verticalOffset = 0;
}
if (_.options.centerMode === true && _.slideCount <= _.options.slidesToShow) {
_.slideOffset = ((_.slideWidth * Math.floor(_.options.slidesToShow)) / 2) - ((_.slideWidth * _.slideCount) / 2);
} else if (_.options.centerMode === true && _.options.infinite === true) {
_.slideOffset += _.slideWidth * Math.floor(_.options.slidesToShow / 2) - _.slideWidth;
} else if (_.options.centerMode === true) {
_.slideOffset = 0;
_.slideOffset += _.slideWidth * Math.floor(_.options.slidesToShow / 2);
}
if (_.options.vertical === false) {
targetLeft = ((slideIndex * _.slideWidth) * -1) + _.slideOffset;
} else {
targetLeft = ((slideIndex * verticalHeight) * -1) + verticalOffset;
}
if (_.options.variableWidth === true) {
if (_.slideCount <= _.options.slidesToShow || _.options.infinite === false) {
targetSlide = _.$slideTrack.children('.slick-slide').eq(slideIndex);
} else {
targetSlide = _.$slideTrack.children('.slick-slide').eq(slideIndex + _.options.slidesToShow);
}
if (_.options.rtl === true) {
if (targetSlide[0]) {
targetLeft = (_.$slideTrack.width() - targetSlide[0].offsetLeft - targetSlide.width()) * -1;
} else {
targetLeft = 0;
}
} else {
targetLeft = targetSlide[0] ? targetSlide[0].offsetLeft * -1 : 0;
}
if (_.options.centerMode === true) {
if (_.slideCount <= _.options.slidesToShow || _.options.infinite === false) {
targetSlide = _.$slideTrack.children('.slick-slide').eq(slideIndex);
} else {
targetSlide = _.$slideTrack.children('.slick-slide').eq(slideIndex + _.options.slidesToShow + 1);
}
if (_.options.rtl === true) {
if (targetSlide[0]) {
targetLeft = (_.$slideTrack.width() - targetSlide[0].offsetLeft - targetSlide.width()) * -1;
} else {
targetLeft = 0;
}
} else {
targetLeft = targetSlide[0] ? targetSlide[0].offsetLeft * -1 : 0;
}
targetLeft += (_.$list.width() - targetSlide.outerWidth()) / 2;
}
}
return targetLeft;
};
Slick.prototype.getOption = Slick.prototype.slickGetOption = function(option) {
var _ = this;
return _.options[option];
};
Slick.prototype.getNavigableIndexes = function() {
var _ = this,
breakPoint = 0,
counter = 0,
indexes = [],
max;
if (_.options.infinite === false) {
max = _.slideCount;
} else {
breakPoint = _.options.slidesToScroll * -1;
counter = _.options.slidesToScroll * -1;
max = _.slideCount * 2;
}
while (breakPoint < max) {
indexes.push(breakPoint);
breakPoint = counter + _.options.slidesToScroll;
counter += _.options.slidesToScroll <= _.options.slidesToShow ? _.options.slidesToScroll : _.options.slidesToShow;
}
return indexes;
};
Slick.prototype.getSlick = function() {
return this;
};
Slick.prototype.getSlideCount = function() {
var _ = this,
slidesTraversed, swipedSlide, centerOffset;
centerOffset = _.options.centerMode === true ? _.slideWidth * Math.floor(_.options.slidesToShow / 2) : 0;
if (_.options.swipeToSlide === true) {
_.$slideTrack.find('.slick-slide').each(function(index, slide) {
if (slide.offsetLeft - centerOffset + ($(slide).outerWidth() / 2) > (_.swipeLeft * -1)) {
swipedSlide = slide;
return false;
}
});
slidesTraversed = Math.abs($(swipedSlide).attr('data-slick-index') - _.currentSlide) || 1;
return slidesTraversed;
} else {
return _.options.slidesToScroll;
}
};
Slick.prototype.goTo = Slick.prototype.slickGoTo = function(slide, dontAnimate) {
var _ = this;
_.changeSlide({
data: {
message: 'index',
index: parseInt(slide)
}
}, dontAnimate);
};
Slick.prototype.init = function(creation) {
var _ = this;
if (!$(_.$slider).hasClass('slick-initialized')) {
$(_.$slider).addClass('slick-initialized');
_.buildRows();
_.buildOut();
_.setProps();
_.startLoad();
_.loadSlider();
_.initializeEvents();
_.updateArrows();
_.updateDots();
_.checkResponsive(true);
_.focusHandler();
}
if (creation) {
_.$slider.trigger('init', [_]);
}
if (_.options.accessibility === true) {
_.initADA();
}
if ( _.options.autoplay ) {
_.paused = false;
_.autoPlay();
}
};
Slick.prototype.initADA = function() {
var _ = this,
numDotGroups = Math.ceil(_.slideCount / _.options.slidesToShow),
tabControlIndexes = _.getNavigableIndexes().filter(function(val) {
return (val >= 0) && (val < _.slideCount);
});
_.$slides.add(_.$slideTrack.find('.slick-cloned')).attr({
'aria-hidden': 'true',
'tabindex': '-1'
}).find('a, input, button, select').attr({
'tabindex': '-1'
});
if (_.$dots !== null) {
_.$slides.not(_.$slideTrack.find('.slick-cloned')).each(function(i) {
var slideControlIndex = tabControlIndexes.indexOf(i);
$(this).attr({
'role': 'tabpanel',
'id': 'slick-slide' + _.instanceUid + i,
'tabindex': -1
});
if (slideControlIndex !== -1) {
var ariaButtonControl = 'slick-slide-control' + _.instanceUid + slideControlIndex
if ($('#' + ariaButtonControl).length) {
$(this).attr({
'aria-describedby': ariaButtonControl
});
}
}
});
_.$dots.attr('role', 'tablist').find('li').each(function(i) {
var mappedSlideIndex = tabControlIndexes[i];
$(this).attr({
'role': 'presentation'
});
$(this).find('button').first().attr({
'role': 'tab',
'id': 'slick-slide-control' + _.instanceUid + i,
'aria-controls': 'slick-slide' + _.instanceUid + mappedSlideIndex,
'aria-label': (i + 1) + ' of ' + numDotGroups,
'aria-selected': null,
'tabindex': '-1'
});
}).eq(_.currentSlide).find('button').attr({
'aria-selected': 'true',
'tabindex': '0'
}).end();
}
for (var i=_.currentSlide, max=i+_.options.slidesToShow; i < max; i++) {
if (_.options.focusOnChange) {
_.$slides.eq(i).attr({'tabindex': '0'});
} else {
_.$slides.eq(i).removeAttr('tabindex');
}
}
_.activateADA();
};
Slick.prototype.initArrowEvents = function() {
var _ = this;
if (_.options.arrows === true && _.slideCount > _.options.slidesToShow) {
_.$prevArrow
.off('click.slick')
.on('click.slick', {
message: 'previous'
}, _.changeSlide);
_.$nextArrow
.off('click.slick')
.on('click.slick', {
message: 'next'
}, _.changeSlide);
if (_.options.accessibility === true) {
_.$prevArrow.on('keydown.slick', _.keyHandler);
_.$nextArrow.on('keydown.slick', _.keyHandler);
}
}
};
Slick.prototype.initDotEvents = function() {
var _ = this;
if (_.options.dots === true && _.slideCount > _.options.slidesToShow) {
$('li', _.$dots).on('click.slick', {
message: 'index'
}, _.changeSlide);
if (_.options.accessibility === true) {
_.$dots.on('keydown.slick', _.keyHandler);
}
}
if (_.options.dots === true && _.options.pauseOnDotsHover === true && _.slideCount > _.options.slidesToShow) {
$('li', _.$dots)
.on('mouseenter.slick', $.proxy(_.interrupt, _, true))
.on('mouseleave.slick', $.proxy(_.interrupt, _, false));
}
};
Slick.prototype.initSlideEvents = function() {
var _ = this;
if ( _.options.pauseOnHover ) {
_.$list.on('mouseenter.slick', $.proxy(_.interrupt, _, true));
_.$list.on('mouseleave.slick', $.proxy(_.interrupt, _, false));
}
};
Slick.prototype.initializeEvents = function() {
var _ = this;
_.initArrowEvents();
_.initDotEvents();
_.initSlideEvents();
_.$list.on('touchstart.slick mousedown.slick', {
action: 'start'
}, _.swipeHandler);
_.$list.on('touchmove.slick mousemove.slick', {
action: 'move'
}, _.swipeHandler);
_.$list.on('touchend.slick mouseup.slick', {
action: 'end'
}, _.swipeHandler);
_.$list.on('touchcancel.slick mouseleave.slick', {
action: 'end'
}, _.swipeHandler);
_.$list.on('click.slick', _.clickHandler);
$(document).on(_.visibilityChange, $.proxy(_.visibility, _));
if (_.options.accessibility === true) {
_.$list.on('keydown.slick', _.keyHandler);
}
if (_.options.focusOnSelect === true) {
$(_.$slideTrack).children().on('click.slick', _.selectHandler);
}
$(window).on('orientationchange.slick.slick-' + _.instanceUid, $.proxy(_.orientationChange, _));
$(window).on('resize.slick.slick-' + _.instanceUid, $.proxy(_.resize, _));
$('[draggable!=true]', _.$slideTrack).on('dragstart', _.preventDefault);
$(window).on('load.slick.slick-' + _.instanceUid, _.setPosition);
$(_.setPosition);
};
Slick.prototype.initUI = function() {
var _ = this;
if (_.options.arrows === true && _.slideCount > _.options.slidesToShow) {
_.$prevArrow.show();
_.$nextArrow.show();
}
if (_.options.dots === true && _.slideCount > _.options.slidesToShow) {
_.$dots.show();
}
};
Slick.prototype.keyHandler = function(event) {
var _ = this;
//Dont slide if the cursor is inside the form fields and arrow keys are pressed
if(!event.target.tagName.match('TEXTAREA|INPUT|SELECT')) {
if (event.keyCode === 37 && _.options.accessibility === true) {
_.changeSlide({
data: {
message: _.options.rtl === true ? 'next' : 'previous'
}
});
} else if (event.keyCode === 39 && _.options.accessibility === true) {
_.changeSlide({
data: {
message: _.options.rtl === true ? 'previous' : 'next'
}
});
}
}
};
Slick.prototype.lazyLoad = function() {
var _ = this,
loadRange, cloneRange, rangeStart, rangeEnd;
function loadImages(imagesScope) {
$('img[data-lazy]', imagesScope).each(function() {
var image = $(this),
imageSource = $(this).attr('data-lazy'),
imageSrcSet = $(this).attr('data-srcset'),
imageSizes = $(this).attr('data-sizes') || _.$slider.attr('data-sizes'),
imageToLoad = document.createElement('img');
imageToLoad.onload = function() {
image
.animate({ opacity: 0 }, 100, function() {
if (imageSrcSet) {
image
.attr('srcset', imageSrcSet );
if (imageSizes) {
image
.attr('sizes', imageSizes );
}
}
image
.attr('src', imageSource)
.animate({ opacity: 1 }, 200, function() {
image
.removeAttr('data-lazy data-srcset data-sizes')
.removeClass('slick-loading');
});
_.$slider.trigger('lazyLoaded', [_, image, imageSource]);
});
};
imageToLoad.onerror = function() {
image
.removeAttr( 'data-lazy' )
.removeClass( 'slick-loading' )
.addClass( 'slick-lazyload-error' );
_.$slider.trigger('lazyLoadError', [ _, image, imageSource ]);
};
imageToLoad.src = imageSource;
});
}
if (_.options.centerMode === true) {
if (_.options.infinite === true) {
rangeStart = _.currentSlide + (_.options.slidesToShow / 2 + 1);
rangeEnd = rangeStart + _.options.slidesToShow + 2;
} else {
rangeStart = Math.max(0, _.currentSlide - (_.options.slidesToShow / 2 + 1));
rangeEnd = 2 + (_.options.slidesToShow / 2 + 1) + _.currentSlide;
}
} else {
rangeStart = _.options.infinite ? _.options.slidesToShow + _.currentSlide : _.currentSlide;
rangeEnd = Math.ceil(rangeStart + _.options.slidesToShow);
if (_.options.fade === true) {
if (rangeStart > 0) rangeStart--;
if (rangeEnd <= _.slideCount) rangeEnd++;
}
}
loadRange = _.$slider.find('.slick-slide').slice(rangeStart, rangeEnd);
if (_.options.lazyLoad === 'anticipated') {
var prevSlide = rangeStart - 1,
nextSlide = rangeEnd,
$slides = _.$slider.find('.slick-slide');
for (var i = 0; i < _.options.slidesToScroll; i++) {
if (prevSlide < 0) prevSlide = _.slideCount - 1;
loadRange = loadRange.add($slides.eq(prevSlide));
loadRange = loadRange.add($slides.eq(nextSlide));
prevSlide--;
nextSlide++;
}
}
loadImages(loadRange);
if (_.slideCount <= _.options.slidesToShow) {
cloneRange = _.$slider.find('.slick-slide');
loadImages(cloneRange);
} else
if (_.currentSlide >= _.slideCount - _.options.slidesToShow) {
cloneRange = _.$slider.find('.slick-cloned').slice(0, _.options.slidesToShow);
loadImages(cloneRange);
} else if (_.currentSlide === 0) {
cloneRange = _.$slider.find('.slick-cloned').slice(_.options.slidesToShow * -1);
loadImages(cloneRange);
}
};
Slick.prototype.loadSlider = function() {
var _ = this;
_.setPosition();
_.$slideTrack.css({
opacity: 1
});
_.$slider.removeClass('slick-loading');
_.initUI();
if (_.options.lazyLoad === 'progressive') {
_.progressiveLazyLoad();
}
};
Slick.prototype.next = Slick.prototype.slickNext = function() {
var _ = this;
_.changeSlide({
data: {
message: 'next'
}
});
};
Slick.prototype.orientationChange = function() {
var _ = this;
_.checkResponsive();
_.setPosition();
};
Slick.prototype.pause = Slick.prototype.slickPause = function() {
var _ = this;
_.autoPlayClear();
_.paused = true;
};
Slick.prototype.play = Slick.prototype.slickPlay = function() {
var _ = this;
_.autoPlay();
_.options.autoplay = true;
_.paused = false;
_.focussed = false;
_.interrupted = false;
};
Slick.prototype.postSlide = function(index) {
var _ = this;
if( !_.unslicked ) {
_.$slider.trigger('afterChange', [_, index]);
_.animating = false;
if (_.slideCount > _.options.slidesToShow) {
_.setPosition();
}
_.swipeLeft = null;
if ( _.options.autoplay ) {
_.autoPlay();
}
if (_.options.accessibility === true) {
_.initADA();
if (_.options.focusOnChange) {
var $currentSlide = $(_.$slides.get(_.currentSlide));
$currentSlide.attr('tabindex', 0).focus();
}
}
}
};
Slick.prototype.prev = Slick.prototype.slickPrev = function() {
var _ = this;
_.changeSlide({
data: {
message: 'previous'
}
});
};
Slick.prototype.preventDefault = function(event) {
event.preventDefault();
};
Slick.prototype.progressiveLazyLoad = function( tryCount ) {
tryCount = tryCount || 1;
var _ = this,
$imgsToLoad = $( 'img[data-lazy]', _.$slider ),
image,
imageSource,
imageSrcSet,
imageSizes,
imageToLoad;
if ( $imgsToLoad.length ) {
image = $imgsToLoad.first();
imageSource = image.attr('data-lazy');
imageSrcSet = image.attr('data-srcset');
imageSizes = image.attr('data-sizes') || _.$slider.attr('data-sizes');
imageToLoad = document.createElement('img');
imageToLoad.onload = function() {
if (imageSrcSet) {
image
.attr('srcset', imageSrcSet );
if (imageSizes) {
image
.attr('sizes', imageSizes );
}
}
image
.attr( 'src', imageSource )
.removeAttr('data-lazy data-srcset data-sizes')
.removeClass('slick-loading');
if ( _.options.adaptiveHeight === true ) {
_.setPosition();
}
_.$slider.trigger('lazyLoaded', [ _, image, imageSource ]);
_.progressiveLazyLoad();
};
imageToLoad.onerror = function() {
if ( tryCount < 3 ) {
/**
* try to load the image 3 times,
* leave a slight delay so we don't get
* servers blocking the request.
*/
setTimeout( function() {
_.progressiveLazyLoad( tryCount + 1 );
}, 500 );
} else {
image
.removeAttr( 'data-lazy' )
.removeClass( 'slick-loading' )
.addClass( 'slick-lazyload-error' );
_.$slider.trigger('lazyLoadError', [ _, image, imageSource ]);
_.progressiveLazyLoad();
}
};
imageToLoad.src = imageSource;
} else {
_.$slider.trigger('allImagesLoaded', [ _ ]);
}
};
Slick.prototype.refresh = function( initializing ) {
var _ = this, currentSlide, lastVisibleIndex;
lastVisibleIndex = _.slideCount - _.options.slidesToShow;
// in non-infinite sliders, we don't want to go past the
// last visible index.
if( !_.options.infinite && ( _.currentSlide > lastVisibleIndex )) {
_.currentSlide = lastVisibleIndex;
}
// if less slides than to show, go to start.
if ( _.slideCount <= _.options.slidesToShow ) {
_.currentSlide = 0;
}
currentSlide = _.currentSlide;
_.destroy(true);
$.extend(_, _.initials, { currentSlide: currentSlide });
_.init();
if( !initializing ) {
_.changeSlide({
data: {
message: 'index',
index: currentSlide
}
}, false);
}
};
Slick.prototype.registerBreakpoints = function() {
var _ = this, breakpoint, currentBreakpoint, l,
responsiveSettings = _.options.responsive || null;
if ( $.type(responsiveSettings) === 'array' && responsiveSettings.length ) {
_.respondTo = _.options.respondTo || 'window';
for ( breakpoint in responsiveSettings ) {
l = _.breakpoints.length-1;
if (responsiveSettings.hasOwnProperty(breakpoint)) {
currentBreakpoint = responsiveSettings[breakpoint].breakpoint;
// loop through the breakpoints and cut out any existing
// ones with the same breakpoint number, we don't want dupes.
while( l >= 0 ) {
if( _.breakpoints[l] && _.breakpoints[l] === currentBreakpoint ) {
_.breakpoints.splice(l,1);
}
l--;
}
_.breakpoints.push(currentBreakpoint);
_.breakpointSettings[currentBreakpoint] = responsiveSettings[breakpoint].settings;
}
}
_.breakpoints.sort(function(a, b) {
return ( _.options.mobileFirst ) ? a-b : b-a;
});
}
};
Slick.prototype.reinit = function() {
var _ = this;
_.$slides =
_.$slideTrack
.children(_.options.slide)
.addClass('slick-slide');
_.slideCount = _.$slides.length;
if (_.currentSlide >= _.slideCount && _.currentSlide !== 0) {
_.currentSlide = _.currentSlide - _.options.slidesToScroll;
}
if (_.slideCount <= _.options.slidesToShow) {
_.currentSlide = 0;
}
_.registerBreakpoints();
_.setProps();
_.setupInfinite();
_.buildArrows();
_.updateArrows();
_.initArrowEvents();
_.buildDots();
_.updateDots();
_.initDotEvents();
_.cleanUpSlideEvents();
_.initSlideEvents();
_.checkResponsive(false, true);
if (_.options.focusOnSelect === true) {
$(_.$slideTrack).children().on('click.slick', _.selectHandler);
}
_.setSlideClasses(typeof _.currentSlide === 'number' ? _.currentSlide : 0);
_.setPosition();
_.focusHandler();
_.paused = !_.options.autoplay;
_.autoPlay();
_.$slider.trigger('reInit', [_]);
};
Slick.prototype.resize = function() {
var _ = this;
if ($(window).width() !== _.windowWidth) {
clearTimeout(_.windowDelay);
_.windowDelay = window.setTimeout(function() {
_.windowWidth = $(window).width();
_.checkResponsive();
if( !_.unslicked ) { _.setPosition(); }
}, 50);
}
};
Slick.prototype.removeSlide = Slick.prototype.slickRemove = function(index, removeBefore, removeAll) {
var _ = this;
if (typeof(index) === 'boolean') {
removeBefore = index;
index = removeBefore === true ? 0 : _.slideCount - 1;
} else {
index = removeBefore === true ? --index : index;
}
if (_.slideCount < 1 || index < 0 || index > _.slideCount - 1) {
return false;
}
_.unload();
if (removeAll === true) {
_.$slideTrack.children().remove();
} else {
_.$slideTrack.children(this.options.slide).eq(index).remove();
}
_.$slides = _.$slideTrack.children(this.options.slide);
_.$slideTrack.children(this.options.slide).detach();
_.$slideTrack.append(_.$slides);
_.$slidesCache = _.$slides;
_.reinit();
};
Slick.prototype.setCSS = function(position) {
var _ = this,
positionProps = {},
x, y;
if (_.options.rtl === true) {
position = -position;
}
x = _.positionProp == 'left' ? Math.ceil(position) + 'px' : '0px';
y = _.positionProp == 'top' ? Math.ceil(position) + 'px' : '0px';
positionProps[_.positionProp] = position;
if (_.transformsEnabled === false) {
_.$slideTrack.css(positionProps);
} else {
positionProps = {};
if (_.cssTransitions === false) {
positionProps[_.animType] = 'translate(' + x + ', ' + y + ')';
_.$slideTrack.css(positionProps);
} else {
positionProps[_.animType] = 'translate3d(' + x + ', ' + y + ', 0px)';
_.$slideTrack.css(positionProps);
}
}
};
Slick.prototype.setDimensions = function() {
var _ = this;
if (_.options.vertical === false) {
if (_.options.centerMode === true) {
_.$list.css({
padding: ('0px ' + _.options.centerPadding)
});
}
} else {
_.$list.height(_.$slides.first().outerHeight(true) * _.options.slidesToShow);
if (_.options.centerMode === true) {
_.$list.css({
padding: (_.options.centerPadding + ' 0px')
});
}
}
_.listWidth = _.$list.width();
_.listHeight = _.$list.height();
if (_.options.vertical === false && _.options.variableWidth === false) {
_.slideWidth = Math.ceil(_.listWidth / _.options.slidesToShow);
_.$slideTrack.width(Math.ceil((_.slideWidth * _.$slideTrack.children('.slick-slide').length)));
} else if (_.options.variableWidth === true) {
_.$slideTrack.width(5000 * _.slideCount);
} else {
_.slideWidth = Math.ceil(_.listWidth);
_.$slideTrack.height(Math.ceil((_.$slides.first().outerHeight(true) * _.$slideTrack.children('.slick-slide').length)));
}
var offset = _.$slides.first().outerWidth(true) - _.$slides.first().width();
if (_.options.variableWidth === false) _.$slideTrack.children('.slick-slide').width(_.slideWidth - offset);
};
Slick.prototype.setFade = function() {
var _ = this,
targetLeft;
_.$slides.each(function(index, element) {
targetLeft = (_.slideWidth * index) * -1;
if (_.options.rtl === true) {
$(element).css({
position: 'relative',
right: targetLeft,
top: 0,
zIndex: _.options.zIndex - 2,
opacity: 0
});
} else {
$(element).css({
position: 'relative',
left: targetLeft,
top: 0,
zIndex: _.options.zIndex - 2,
opacity: 0
});
}
});
_.$slides.eq(_.currentSlide).css({
zIndex: _.options.zIndex - 1,
opacity: 1
});
};
Slick.prototype.setHeight = function() {
var _ = this;
if (_.options.slidesToShow === 1 && _.options.adaptiveHeight === true && _.options.vertical === false) {
var targetHeight = _.$slides.eq(_.currentSlide).outerHeight(true);
_.$list.css('height', targetHeight);
}
};
Slick.prototype.setOption =
Slick.prototype.slickSetOption = function() {
/**
* accepts arguments in format of:
*
* - for changing a single option's value:
* .slick("setOption", option, value, refresh )
*
* - for changing a set of responsive options:
* .slick("setOption", 'responsive', [{}, ...], refresh )
*
* - for updating multiple values at once (not responsive)
* .slick("setOption", { 'option': value, ... }, refresh )
*/
var _ = this, l, item, option, value, refresh = false, type;
if( $.type( arguments[0] ) === 'object' ) {
option = arguments[0];
refresh = arguments[1];
type = 'multiple';
} else if ( $.type( arguments[0] ) === 'string' ) {
option = arguments[0];
value = arguments[1];
refresh = arguments[2];
if ( arguments[0] === 'responsive' && $.type( arguments[1] ) === 'array' ) {
type = 'responsive';
} else if ( typeof arguments[1] !== 'undefined' ) {
type = 'single';
}
}
if ( type === 'single' ) {
_.options[option] = value;
} else if ( type === 'multiple' ) {
$.each( option , function( opt, val ) {
_.options[opt] = val;
});
} else if ( type === 'responsive' ) {
for ( item in value ) {
if( $.type( _.options.responsive ) !== 'array' ) {
_.options.responsive = [ value[item] ];
} else {
l = _.options.responsive.length-1;
// loop through the responsive object and splice out duplicates.
while( l >= 0 ) {
if( _.options.responsive[l].breakpoint === value[item].breakpoint ) {
_.options.responsive.splice(l,1);
}
l--;
}
_.options.responsive.push( value[item] );
}
}
}
if ( refresh ) {
_.unload();
_.reinit();
}
};
Slick.prototype.setPosition = function() {
var _ = this;
_.setDimensions();
_.setHeight();
if (_.options.fade === false) {
_.setCSS(_.getLeft(_.currentSlide));
} else {
_.setFade();
}
_.$slider.trigger('setPosition', [_]);
};
Slick.prototype.setProps = function() {
var _ = this,
bodyStyle = document.body.style;
_.positionProp = _.options.vertical === true ? 'top' : 'left';
if (_.positionProp === 'top') {
_.$slider.addClass('slick-vertical');
} else {
_.$slider.removeClass('slick-vertical');
}
if (bodyStyle.WebkitTransition !== undefined ||
bodyStyle.MozTransition !== undefined ||
bodyStyle.msTransition !== undefined) {
if (_.options.useCSS === true) {
_.cssTransitions = true;
}
}
if ( _.options.fade ) {
if ( typeof _.options.zIndex === 'number' ) {
if( _.options.zIndex < 3 ) {
_.options.zIndex = 3;
}
} else {
_.options.zIndex = _.defaults.zIndex;
}
}
if (bodyStyle.OTransform !== undefined) {
_.animType = 'OTransform';
_.transformType = '-o-transform';
_.transitionType = 'OTransition';
if (bodyStyle.perspectiveProperty === undefined && bodyStyle.webkitPerspective === undefined) _.animType = false;
}
if (bodyStyle.MozTransform !== undefined) {
_.animType = 'MozTransform';
_.transformType = '-moz-transform';
_.transitionType = 'MozTransition';
if (bodyStyle.perspectiveProperty === undefined && bodyStyle.MozPerspective === undefined) _.animType = false;
}
if (bodyStyle.webkitTransform !== undefined) {
_.animType = 'webkitTransform';
_.transformType = '-webkit-transform';
_.transitionType = 'webkitTransition';
if (bodyStyle.perspectiveProperty === undefined && bodyStyle.webkitPerspective === undefined) _.animType = false;
}
if (bodyStyle.msTransform !== undefined) {
_.animType = 'msTransform';
_.transformType = '-ms-transform';
_.transitionType = 'msTransition';
if (bodyStyle.msTransform === undefined) _.animType = false;
}
if (bodyStyle.transform !== undefined && _.animType !== false) {
_.animType = 'transform';
_.transformType = 'transform';
_.transitionType = 'transition';
}
_.transformsEnabled = _.options.useTransform && (_.animType !== null && _.animType !== false);
};
Slick.prototype.setSlideClasses = function(index) {
var _ = this,
centerOffset, allSlides, indexOffset, remainder;
allSlides = _.$slider
.find('.slick-slide')
.removeClass('slick-active slick-center slick-current')
.attr('aria-hidden', 'true');
_.$slides
.eq(index)
.addClass('slick-current');
if (_.options.centerMode === true) {
var evenCoef = _.options.slidesToShow % 2 === 0 ? 1 : 0;
centerOffset = Math.floor(_.options.slidesToShow / 2);
if (_.options.infinite === true) {
if (index >= centerOffset && index <= (_.slideCount - 1) - centerOffset) {
_.$slides
.slice(index - centerOffset + evenCoef, index + centerOffset + 1)
.addClass('slick-active')
.attr('aria-hidden', 'false');
} else {
indexOffset = _.options.slidesToShow + index;
allSlides
.slice(indexOffset - centerOffset + 1 + evenCoef, indexOffset + centerOffset + 2)
.addClass('slick-active')
.attr('aria-hidden', 'false');
}
if (index === 0) {
allSlides
.eq(allSlides.length - 1 - _.options.slidesToShow)
.addClass('slick-center');
} else if (index === _.slideCount - 1) {
allSlides
.eq(_.options.slidesToShow)
.addClass('slick-center');
}
}
_.$slides
.eq(index)
.addClass('slick-center');
} else {
if (index >= 0 && index <= (_.slideCount - _.options.slidesToShow)) {
_.$slides
.slice(index, index + _.options.slidesToShow)
.addClass('slick-active')
.attr('aria-hidden', 'false');
} else if (allSlides.length <= _.options.slidesToShow) {
allSlides
.addClass('slick-active')
.attr('aria-hidden', 'false');
} else {
remainder = _.slideCount % _.options.slidesToShow;
indexOffset = _.options.infinite === true ? _.options.slidesToShow + index : index;
if (_.options.slidesToShow == _.options.slidesToScroll && (_.slideCount - index) < _.options.slidesToShow) {
allSlides
.slice(indexOffset - (_.options.slidesToShow - remainder), indexOffset + remainder)
.addClass('slick-active')
.attr('aria-hidden', 'false');
} else {
allSlides
.slice(indexOffset, indexOffset + _.options.slidesToShow)
.addClass('slick-active')
.attr('aria-hidden', 'false');
}
}
}
if (_.options.lazyLoad === 'ondemand' || _.options.lazyLoad === 'anticipated') {
_.lazyLoad();
}
};
Slick.prototype.setupInfinite = function() {
var _ = this,
i, slideIndex, infiniteCount;
if (_.options.fade === true) {
_.options.centerMode = false;
}
if (_.options.infinite === true && _.options.fade === false) {
slideIndex = null;
if (_.slideCount > _.options.slidesToShow) {
if (_.options.centerMode === true) {
infiniteCount = _.options.slidesToShow + 1;
} else {
infiniteCount = _.options.slidesToShow;
}
for (i = _.slideCount; i > (_.slideCount -
infiniteCount); i -= 1) {
slideIndex = i - 1;
$(_.$slides[slideIndex]).clone(true).attr('id', '')
.attr('data-slick-index', slideIndex - _.slideCount)
.prependTo(_.$slideTrack).addClass('slick-cloned');
}
for (i = 0; i < infiniteCount + _.slideCount; i += 1) {
slideIndex = i;
$(_.$slides[slideIndex]).clone(true).attr('id', '')
.attr('data-slick-index', slideIndex + _.slideCount)
.appendTo(_.$slideTrack).addClass('slick-cloned');
}
_.$slideTrack.find('.slick-cloned').find('[id]').each(function() {
$(this).attr('id', '');
});
}
}
};
Slick.prototype.interrupt = function( toggle ) {
var _ = this;
if( !toggle ) {
_.autoPlay();
}
_.interrupted = toggle;
};
Slick.prototype.selectHandler = function(event) {
var _ = this;
var targetElement =
$(event.target).is('.slick-slide') ?
$(event.target) :
$(event.target).parents('.slick-slide');
var index = parseInt(targetElement.attr('data-slick-index'));
if (!index) index = 0;
if (_.slideCount <= _.options.slidesToShow) {
_.slideHandler(index, false, true);
return;
}
_.slideHandler(index);
};
Slick.prototype.slideHandler = function(index, sync, dontAnimate) {
var targetSlide, animSlide, oldSlide, slideLeft, targetLeft = null,
_ = this, navTarget;
sync = sync || false;
if (_.animating === true && _.options.waitForAnimate === true) {
return;
}
if (_.options.fade === true && _.currentSlide === index) {
return;
}
if (sync === false) {
_.asNavFor(index);
}
targetSlide = index;
targetLeft = _.getLeft(targetSlide);
slideLeft = _.getLeft(_.currentSlide);
_.currentLeft = _.swipeLeft === null ? slideLeft : _.swipeLeft;
if (_.options.infinite === false && _.options.centerMode === false && (index < 0 || index > _.getDotCount() * _.options.slidesToScroll)) {
if (_.options.fade === false) {
targetSlide = _.currentSlide;
if (dontAnimate !== true && _.slideCount > _.options.slidesToShow) {
_.animateSlide(slideLeft, function() {
_.postSlide(targetSlide);
});
} else {
_.postSlide(targetSlide);
}
}
return;
} else if (_.options.infinite === false && _.options.centerMode === true && (index < 0 || index > (_.slideCount - _.options.slidesToScroll))) {
if (_.options.fade === false) {
targetSlide = _.currentSlide;
if (dontAnimate !== true && _.slideCount > _.options.slidesToShow) {
_.animateSlide(slideLeft, function() {
_.postSlide(targetSlide);
});
} else {
_.postSlide(targetSlide);
}
}
return;
}
if ( _.options.autoplay ) {
clearInterval(_.autoPlayTimer);
}
if (targetSlide < 0) {
if (_.slideCount % _.options.slidesToScroll !== 0) {
animSlide = _.slideCount - (_.slideCount % _.options.slidesToScroll);
} else {
animSlide = _.slideCount + targetSlide;
}
} else if (targetSlide >= _.slideCount) {
if (_.slideCount % _.options.slidesToScroll !== 0) {
animSlide = 0;
} else {
animSlide = targetSlide - _.slideCount;
}
} else {
animSlide = targetSlide;
}
_.animating = true;
_.$slider.trigger('beforeChange', [_, _.currentSlide, animSlide]);
oldSlide = _.currentSlide;
_.currentSlide = animSlide;
_.setSlideClasses(_.currentSlide);
if ( _.options.asNavFor ) {
navTarget = _.getNavTarget();
navTarget = navTarget.slick('getSlick');
if ( navTarget.slideCount <= navTarget.options.slidesToShow ) {
navTarget.setSlideClasses(_.currentSlide);
}
}
_.updateDots();
_.updateArrows();
if (_.options.fade === true) {
if (dontAnimate !== true) {
_.fadeSlideOut(oldSlide);
_.fadeSlide(animSlide, function() {
_.postSlide(animSlide);
});
} else {
_.postSlide(animSlide);
}
_.animateHeight();
return;
}
if (dontAnimate !== true && _.slideCount > _.options.slidesToShow) {
_.animateSlide(targetLeft, function() {
_.postSlide(animSlide);
});
} else {
_.postSlide(animSlide);
}
};
Slick.prototype.startLoad = function() {
var _ = this;
if (_.options.arrows === true && _.slideCount > _.options.slidesToShow) {
_.$prevArrow.hide();
_.$nextArrow.hide();
}
if (_.options.dots === true && _.slideCount > _.options.slidesToShow) {
_.$dots.hide();
}
_.$slider.addClass('slick-loading');
};
Slick.prototype.swipeDirection = function() {
var xDist, yDist, r, swipeAngle, _ = this;
xDist = _.touchObject.startX - _.touchObject.curX;
yDist = _.touchObject.startY - _.touchObject.curY;
r = Math.atan2(yDist, xDist);
swipeAngle = Math.round(r * 180 / Math.PI);
if (swipeAngle < 0) {
swipeAngle = 360 - Math.abs(swipeAngle);
}
if ((swipeAngle <= 45) && (swipeAngle >= 0)) {
return (_.options.rtl === false ? 'left' : 'right');
}
if ((swipeAngle <= 360) && (swipeAngle >= 315)) {
return (_.options.rtl === false ? 'left' : 'right');
}
if ((swipeAngle >= 135) && (swipeAngle <= 225)) {
return (_.options.rtl === false ? 'right' : 'left');
}
if (_.options.verticalSwiping === true) {
if ((swipeAngle >= 35) && (swipeAngle <= 135)) {
return 'down';
} else {
return 'up';
}
}
return 'vertical';
};
Slick.prototype.swipeEnd = function(event) {
var _ = this,
slideCount,
direction;
_.dragging = false;
_.swiping = false;
if (_.scrolling) {
_.scrolling = false;
return false;
}
_.interrupted = false;
_.shouldClick = ( _.touchObject.swipeLength > 10 ) ? false : true;
if ( _.touchObject.curX === undefined ) {
return false;
}
if ( _.touchObject.edgeHit === true ) {
_.$slider.trigger('edge', [_, _.swipeDirection() ]);
}
if ( _.touchObject.swipeLength >= _.touchObject.minSwipe ) {
direction = _.swipeDirection();
switch ( direction ) {
case 'left':
case 'down':
slideCount =
_.options.swipeToSlide ?
_.checkNavigable( _.currentSlide + _.getSlideCount() ) :
_.currentSlide + _.getSlideCount();
_.currentDirection = 0;
break;
case 'right':
case 'up':
slideCount =
_.options.swipeToSlide ?
_.checkNavigable( _.currentSlide - _.getSlideCount() ) :
_.currentSlide - _.getSlideCount();
_.currentDirection = 1;
break;
default:
}
if( direction != 'vertical' ) {
_.slideHandler( slideCount );
_.touchObject = {};
_.$slider.trigger('swipe', [_, direction ]);
}
} else {
if ( _.touchObject.startX !== _.touchObject.curX ) {
_.slideHandler( _.currentSlide );
_.touchObject = {};
}
}
};
Slick.prototype.swipeHandler = function(event) {
var _ = this;
if ((_.options.swipe === false) || ('ontouchend' in document && _.options.swipe === false)) {
return;
} else if (_.options.draggable === false && event.type.indexOf('mouse') !== -1) {
return;
}
_.touchObject.fingerCount = event.originalEvent && event.originalEvent.touches !== undefined ?
event.originalEvent.touches.length : 1;
_.touchObject.minSwipe = _.listWidth / _.options
.touchThreshold;
if (_.options.verticalSwiping === true) {
_.touchObject.minSwipe = _.listHeight / _.options
.touchThreshold;
}
switch (event.data.action) {
case 'start':
_.swipeStart(event);
break;
case 'move':
_.swipeMove(event);
break;
case 'end':
_.swipeEnd(event);
break;
}
};
Slick.prototype.swipeMove = function(event) {
var _ = this,
edgeWasHit = false,
curLeft, swipeDirection, swipeLength, positionOffset, touches, verticalSwipeLength;
touches = event.originalEvent !== undefined ? event.originalEvent.touches : null;
if (!_.dragging || _.scrolling || touches && touches.length !== 1) {
return false;
}
curLeft = _.getLeft(_.currentSlide);
_.touchObject.curX = touches !== undefined ? touches[0].pageX : event.clientX;
_.touchObject.curY = touches !== undefined ? touches[0].pageY : event.clientY;
_.touchObject.swipeLength = Math.round(Math.sqrt(
Math.pow(_.touchObject.curX - _.touchObject.startX, 2)));
verticalSwipeLength = Math.round(Math.sqrt(
Math.pow(_.touchObject.curY - _.touchObject.startY, 2)));
if (!_.options.verticalSwiping && !_.swiping && verticalSwipeLength > 4) {
_.scrolling = true;
return false;
}
if (_.options.verticalSwiping === true) {
_.touchObject.swipeLength = verticalSwipeLength;
}
swipeDirection = _.swipeDirection();
if (event.originalEvent !== undefined && _.touchObject.swipeLength > 4) {
_.swiping = true;
event.preventDefault();
}
positionOffset = (_.options.rtl === false ? 1 : -1) * (_.touchObject.curX > _.touchObject.startX ? 1 : -1);
if (_.options.verticalSwiping === true) {
positionOffset = _.touchObject.curY > _.touchObject.startY ? 1 : -1;
}
swipeLength = _.touchObject.swipeLength;
_.touchObject.edgeHit = false;
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{"id":115,"date":"2024-08-15T21:54:08","date_gmt":"2024-08-15T21:54:08","guid":{"rendered":"https:\/\/freebtc.my.id\/how-blockchain-relates-to-ai-in-the-future-of-collaborating-with-each-other"},"modified":"2024-08-15T21:54:08","modified_gmt":"2024-08-15T21:54:08","slug":"how-blockchain-relates-to-ai-in-the-future-of-collaborating-with-each-other","status":"publish","type":"post","link":"https:\/\/freebtc.my.id\/how-blockchain-relates-to-ai-in-the-future-of-collaborating-with-each-other","title":{"rendered":"How Blockchain Relates to AI in the Future of Collaborating with Each Other"},"content":{"rendered":"“`html<\/p>\n\n
Introduction to Blockchain and AI<\/h2>\n\n
Blockchain and Artificial Intelligence (AI) are two of the most transformative technologies of the 21st century. Blockchain, originally conceptualized through the development of cryptocurrency, is a decentralized digital ledger system that ensures transparency, security, and immutability of records. It operates on the principle of distributed consensus, meaning that each transaction or record is validated by multiple nodes across a decentralized network, making it extraordinarily resilient to tampering and fraud.<\/p>\n\n
On the other hand, AI refers to the simulation of human intelligence in machines designed to understand, think, learn, and adapt autonomously. AI technologies encompass a variety of capabilities, from natural language processing, machine learning, and predictive analytics, to robotics and computer vision. These technologies enable machines to perform tasks that typically require human intelligence, such as recognizing patterns, making decisions, and interpreting data.<\/p>\n\n
While blockchain and AI serve distinct purposes, they are increasingly viewed as complementary technologies with the potential to solve complex problems when integrated. Blockchain can provide a trustworthy and reliable data source for AI algorithms, ensuring the data’s integrity and provenance. Conversely, AI can be leveraged to enhance blockchain networks through predictive analytics and intelligent contract execution, thereby improving operational efficiency and decision-making processes.<\/p>\n\n
The growing interest in the integration of blockchain and AI is driven by the potential to create more robust, efficient, and secure systems. This integration aims to address a variety of challenges, from enhancing data security and transparency in supply chains, to improving predictive healthcare and personalized financial services. As the technologies continue to evolve, exploring the synergies between blockchain and AI presents a promising avenue for innovation and tackling some of the most pressing issues in today’s digital world.<\/p>\n\n
Blockchain’s Role in Enhancing AI Trust and Security<\/h2>\n\n
The symbiotic relationship between blockchain and Artificial Intelligence (AI) represents a transformative shift in ensuring data integrity and securing operational frameworks. Blockchain\u2019s decentralized nature provides a robust platform that bolsters the security and transparency essential for AI applications. The immutable and transparent ledger system of blockchain ensures that data fed into AI systems remains unalterable and verifiable, thus enhancing AI’s trustworthiness and decision-making accuracy.<\/p>\n\n
Incorporating blockchain into AI operations serves a dual purpose: verifying data integrity and securing AI models against malevolent interventions. AI systems rely heavily on vast datasets for training and decision-making. Through blockchain, each data transaction is recorded on a tamper-proof ledger, providing an audit trail that ensures data authenticity and integrity. This transparency is critical, particularly in sensitive areas like healthcare and finance, where data manipulation can have severe consequences.<\/p>\n\n
Moreover, blockchain\u2019s consensus mechanism fortifies the security of AI models. It disperses the control across a network of nodes, making it inherently resistant to hacking and unauthorized modifications. For example, if an AI model is stored on a blockchain, any attempt to alter the model would require consensus from the majority of nodes in the network, which is practically impossible under malicious intent, hence preserving the model\u2019s integrity.<\/p>\n\n
Emerging use cases demonstrate the effectiveness of this integration. For instance, blockchain has been used to secure AI data in supply chain management, ensuring the traceability and authenticity of goods and transactions. In healthcare, patient data handled by AI can be protected via blockchain, thus safeguarding sensitive information against breaches. Additionally, blockchain\u2019s capability to track data provenance is pivotal in AI-driven applications that necessitate stringent compliance and accountability, such as autonomous vehicles and regulatory technology (RegTech).<\/p>\n\n
In essence, the synergy between blockchain and AI heralds a secure, transparent, and trustworthy environment. As AI continues to evolve, the integration with blockchain will likely become a cornerstone, underpinning secure and reliable AI operations across various sectors.<\/p>\n\n
Artificial Intelligence (AI) has emerged as a transformative force with the potential to significantly enhance the efficiency and performance of blockchain networks. One of the primary areas where AI shows promise is in optimizing consensus mechanisms. In blockchain technology, consensus mechanisms are critical as they determine how transactions are validated and added to the blockchain. AI algorithms can expedite these processes by quickly identifying the optimal paths for consensus, thereby reducing the time and energy consumption typically associated with traditional methods.<\/p>\n\n
Transaction validation is another domain where AI can provide substantial improvements. Blockchain networks must ensure that each transaction is genuine and doubles pending is avoided, which traditionally involves complex and time-consuming cryptographic calculations. AI, with its advanced data processing capabilities, can automate and accelerate these validations, mitigating the risk of fraudulent activities and enhancing the network\u2019s overall security.<\/p>\n\n
Real-World Applications<\/h2>\n\n
There are several real-world applications where AI is already making significant contributions to blockchain technology. For instance, DeepBrain Chain uses AI to manage and optimize computing power usage in blockchain-based systems, while ensuring privacy and security. This integration helps in distributing computational tasks more efficiently and ensures that resources are optimally utilized, boosting overall network performance.<\/p>\n\n
Furthermore, AI can address the scalability issues that hinder blockchain networks. Scalability refers to a network\u2019s capacity to handle a growing number of transactions and data without compromising on its performance. AI-driven predictive analytics can forecast transaction loads and dynamically adjust the network\u2019s processing power to match the demand, ensuring the system remains robust under varying conditions.<\/p>\n\n
In addition, AI can play a pivotal role in smart contract auditing. By analyzing large datasets and identifying patterns, AI algorithms can predict potential vulnerabilities in smart contracts, thereby preemptively addressing issues before they escalate.<\/p>\n\n
In conclusion, AI’s potential to optimize blockchain networks is vast, offering promising solutions to enhance consensus mechanisms, transaction validation, and scalability. As the synergy between AI and blockchain continues to evolve, it is likely to drive unprecedented efficiencies and capabilities in blockchain technology.<\/p>\n\n
Data Sharing and Privacy Management<\/h2>\n\n
In the continually evolving technological landscape, the interplay between blockchain and artificial intelligence (AI) holds significant promise for data sharing and privacy management. Blockchain, with its inherent attributes of decentralization, transparency, and immutability, offers a robust framework for secure data transactions. This decentralized ledger system eliminates the need for intermediaries, thereby reducing the risk of data breaches and tampering. Consequently, integrating blockchain with AI enhances the security of data transfer while ensuring that data integrity is maintained.<\/p>\n\n
The symbiotic relationship between blockchain and AI can revolutionize how data is shared and analyzed. Blockchain enables secure data transactions, creating an environment where data can be shared transparently across a decentralized network. AI, on the other hand, can analyze this data to generate valuable insights, making it an indispensable tool in decision-making processes. This combination ensures that while data flows seamlessly across the network, the privacy and security of this information are never compromised.<\/p>\n\n
Despite the promising benefits, several challenges loom over the integration of blockchain and AI for data sharing and privacy management. One of the primary concerns is scalability. As the volume of data grows, the blockchain can become cumbersome, potentially slowing down transactions. Moreover, the immutable nature of blockchain, while being a strength, also poses a challenge as once data is recorded, it cannot be altered. This raises concerns about dealing with incorrect or outdated data. Additionally, there is the challenge of data privacy in AI’s learning processes, where sensitive information could be inadvertently exposed.<\/p>\n\n
Addressing these challenges requires innovative solutions. One such solution involves implementing off-chain storage for large datasets, which alleviates the burden on the blockchain while retaining its security benefits. Privacy-enhancing technologies like zero-knowledge proofs and homomorphic encryption can be employed to ensure that AI can still process data without direct access to sensitive information. These technologies allow data to be used in computations without exposing the raw data, thereby maintaining privacy while enabling AI-driven analytics.<\/p>\n\n
Ultimately, the union of blockchain and AI presents a formidable approach to data sharing and privacy management. By leveraging blockchain’s secure and transparent framework alongside AI’s analytical prowess, this integrated method can pave the way for a future where data privacy is stringently maintained without compromising on the availability of critical insights.<\/p>\n\n
Decentralized AI Marketplaces<\/h2>\n\n
Decentralized AI marketplaces are poised to revolutionize the way AI models and data are exchanged by leveraging the capabilities of blockchain technology. These marketplaces facilitate a secure, transparent, and efficient platform for the exchange of AI assets. By employing blockchain\u2019s inherent properties of immutability and transparency, these platforms can ensure the authenticity and provenance of AI models and datasets traded within the marketplace.<\/p>\n\n
One significant advantage of decentralized AI marketplaces is the potential for incentivizing data sharing. Currently, one of the largest barriers to AI advancement is access to high-quality data. In a decentralized marketplace, data providers can receive compensation for sharing their data, fostering an environment where data is more freely available. This incentivization model can break down silos, allowing more robust and diverse datasets to fuel AI development.<\/p>\n\n
Moreover, decentralized AI marketplaces democratize the development of AI models. Traditionally, the development of advanced AI models has been dominated by a few large organizations with substantial resources. However, these marketplaces provide an avenue for smaller entities, including independent researchers and startups, to showcase and monetize their innovations. This democratization fosters a more competitive and innovative landscape, enhancing overall advancements in the field.<\/p>\n\n
An additional benefit is the enablement of smaller entities to contribute to and benefit from AI advancements. By lowering the barrier to entry, decentralized AI marketplaces allow smaller organizations to access sophisticated AI tools and datasets, which previously might have been out of reach. This level playing field can accelerate technological progress across various sectors by ensuring a wider distribution of AI capabilities.<\/p>\n\n
Ultimately, decentralized AI marketplaces represent a symbiotic integration of blockchain and AI technologies, paving the way for a more inclusive and efficient ecosystem. These platforms not only ensure the ethical and secure exchange of data and AI models but also encourage a collaborative approach to AI development, poised to significantly impact the future of technology.<\/p>\n\n
Smart Contracts and Automated Negotiations<\/h2>\n\n
Smart contracts are self-executing contracts embedded with the terms of the agreement directly written into code. Leveraging blockchain technology, these contracts facilitate, verify, and enforce the negotiation or performance of a contract without the need for intermediaries. The integration of AI into smart contracts amplifies their utility, particularly in scenarios that require rapid and unbiased decision-making.<\/p>\n\n
AI plays a crucial role in automating negotiations by analyzing vast amounts of data to determine fair and optimal terms. For example, in supply chain management, AI algorithms can assess supplier performance, pricing trends, and market demand to formulate the best contract terms. Once these terms are agreed upon, smart contracts ensure the execution is automatic when predefined conditions are met, such as delivering goods or services and releasing payments.<\/p>\n\n
The combination of AI and smart contracts extends to various applications, one of which is the insurance industry. Here, AI-driven systems can evaluate risk factors, approve claims based on real-time data analysis, and initiate smart contracts that automatically process policy payouts upon event verification. In the real estate sector, these technologies can streamline the property buying process by automatically executing sale agreements once conditions like property inspection and title clearance are met.<\/p>\n\n
Another notable example is decentralized finance (DeFi) platforms. AI algorithms can manage trading strategies, asset allocations, and risk assessments, subsequently initiating smart contracts for lending, borrowing, and other financial services without human intervention. This automation not only enhances efficiency but also reduces the potential for human error and bias, facilitating a more transparent and equitable financial ecosystem.<\/p>\n\n
In essence, smart contracts driven by AI capabilities signify a transformative stride towards automated and equitable contractual agreements. By ensuring the terms and execution are transparent and fair, they redefine traditional modes of transaction and negotiation, paving the way for more dependable and efficient systems in the foreseeable future.<\/p>\n\n
Challenges and Ethical Considerations<\/h2>\n\n
The integration of blockchain and artificial intelligence presents a plethora of challenges and ethical considerations. One significant concern is the energy consumption associated with blockchain technology. Blockchain relies on cryptographic proof-of-work mechanisms, which demand substantial computational power. This increased energy consumption has considerable environmental implications and raises questions about the sustainability of blockchain when combined with AI technologies.<\/p>\n\n
Another critical issue lies in potential biases embedded within AI algorithms. AI systems learn from historical data, and if this data contains biases, the AI can perpetuate or even exacerbate these biases. When integrated with blockchain, these biases could become immutable, entrenched within the decentralized ledger, thus posing significant ethical dilemmas. Ensuring fairness and accountability in AI is paramount, and robust mechanisms need to be implemented to regularly audit and rectify biases in AI algorithms.<\/p>\n\n
The complexity of securing and managing hybrid systems that integrate blockchain and AI is also a notable challenge. Blockchain’s decentralized nature introduces vulnerabilities that can be exploited if not properly managed. Likewise, AI systems can be vulnerable to adversarial attacks, where input data is manipulated to deceive the AI. Securing a system that combines both technologies requires developing advanced security protocols and frameworks to ensure data integrity and system robustness.<\/p>\n\n
Ongoing research is exploring ways to mitigate these challenges. For instance, the development of more energy-efficient consensus algorithms for blockchain aims to address the environmental impact. Techniques such as federated learning and differential privacy are being investigated to reduce AI biases and enhance data security. Additionally, interdisciplinary approaches combining cryptography, machine learning, and ethics are being employed to build secure and ethically sound systems.<\/p>\n\n
While the integration of blockchain and AI holds transformative potential, addressing these challenges and ethical considerations is crucial for ensuring sustainable and equitable technological advancements. Continuous efforts and collaboration among researchers, policymakers, and technology developers are essential to navigate these complexities and harness the full benefits of these converging technologies.<\/p>\n\n
Future Prospects and Potential Innovations<\/h2>\n\n
The future of blockchain and artificial intelligence (AI) collaboration promises a transformative synergy that could redefine various industries from finance to healthcare, and beyond. Emerging trends indicate that the convergence of these technologies could address a myriad of existing challenges while opening new avenues for innovation.<\/p>\n\n
One of the most tangible prospects is enhanced data security and integrity. Blockchain\u2019s immutable ledger can safeguard the immense datasets AI requires, ensuring the data\u2019s authenticity and traceability. This is particularly vital in sectors like finance, where the precision and reliability of data can significantly impact decision-making processes.<\/p>\n\n
In the healthcare industry, the integration of blockchain and AI can revolutionize patient care and medical research. Blockchain could securely store patient records, ensuring privacy and compliance with regulations, while AI algorithms analyze this data to derive insights for personalized treatment plans and predictive diagnostics. This fusion could lead to more efficient and effective healthcare delivery, improving patient outcomes significantly.<\/p>\n\n
Supply chain management stands to benefit immensely from this technological amalgamation. By utilizing blockchain, the provenance of goods can be transparently tracked, while AI can optimize logistics and predict demand patterns, making the supply chain more efficient and resilient. Companies are already exploring solutions where blockchain ensures the authenticity of products and AI-driven analytics enhance supply chain visibility.<\/p>\n\n
Looking ahead, we foresee a multitude of potential innovations. Smart contracts powered by AI could autonomously execute complex transactions without human intervention, streamlining operations in various domains. Additionally, decentralized AI marketplaces on blockchain platforms could democratize access to AI resources, enabling small enterprises and individuals to contribute to and benefit from AI advancements.<\/p>\n\n
Long-term visions also involve the creation of decentralized AI, where collaborative AI models operate on blockchain networks, ensuring transparency and preventing monopolistic control by a few entities. Such a paradigm shift could lead to more ethical and equitable AI development, fostering trust and global cooperation.<\/p>\n\n
Overall, the collaborative future of blockchain and AI is poised to introduce unprecedented innovations, profoundly transforming industries and setting the stage for a new era of technological advancement.<\/p>","protected":false},"excerpt":{"rendered":"
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