Statistics circles in CSS

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By : Paulina Castillo

Date : November 27 2020, 01:01 AM

hope this fix your issue It is actually called as donut chart. It will be difficult for you to just use a div tag. Instead use canvas or just use a javascript framework for charting. Here are few examples.

code :

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css circles using border radius need to change the color of intersected section of circles

By : Siddhartha

Date : March 29 2020, 07:55 AM

may help you . A bit simpler version: Fiddle

code :

<div class='circle-holder'>
    <div id='circle-1' class='circle'></div>
    <div id='circle-2' class='circle'></div>
    <div id='circle-3' class='circle'></div>
    <div id='circle-4' class='circle'></div>
    <div id='circle-5' class='circle'></div>
</div>

.circle {
    width: 201px;
    height: 201px;
    border-radius: 101px;
    float: left;
    position: relative;
    overflow: hidden;
    margin-right: -30px;
}

.circle + .circle::before {
    content: '';
    position: absolute;
    width: 100%;
    height: 100%;
    top: 0;
    left: -170px;
    background: #fff;
    border-radius: 101px;
}

I am trying to make 2 circles around a point and fill between these points and listen for a click between the circles

By : Duncan Hawthorne

Date : March 29 2020, 07:55 AM

I wish this help you I would measure the distance from the center of the circles to the mouse click point. Then you just need to check is that distance greater than the inner circle radius and less than the outer circle radius.
Something along these lines:

code :

var clickPoint:Point = new Point(mouseX, mouseY);
var centerPoint:Point = new Point(circleMC.x circleMC.y);
var dist:Number = Point.distance(clickPoint, centerPoint);

if(dist > innerRadius && dist < outerRadius){
    trace("the click happened between circles
}

When does it make sense to use Statistics#compareTo(Statistics, double) to compare Statistics?

By : Lambda276

Date : March 29 2020, 07:55 AM

hope this fix your issue As javadoc states, it's value of confidence interval.
Roughly speaking, assume you have two distributions (aka benchmark runs) of two methods run times. By default, JMH assumes it's normal distribution with some parameters (mean and variance). But distributions aren't numbers: you can't compare one mean with another and say "Hey, first mean is smaller than second one, thus first approach is better in average!". First you should prove that they don't belong to the same distribution (it's still possible even if they (samples, not distributions) have slightly different means), otherwise such comparison makes no sense. For such proves special statistical test is used. But as long as test is dealing with samples, not actual distributions, test can't say "Two data sets don't belong to the same distribution", test can only say "Two data sets don't belong to the same distribution with 99% probability". This 99% (or any other) actually is confidence you are asking.

Can i have Test execution (Robot FR) statistics as custom statistics chart in teamcity statistics Tab?

By : Rodrigo Azevedo Lima

Date : March 29 2020, 07:55 AM

this one helps. Solved by using the : "Providing data using the teamcity-info.xml file" here after creating the "teamcity-info.xml" file in the root of the build, i create a custom chart with the keys : chart1Key / chart2Key (existing in the "teamcity-info.xml" file). So i will be able to see the OK/KO tests percents. Find here the Result

how to make my code identify the difference between 2 circles (2 circles one filled with white and one with black) using

By : user2879053

Date : March 29 2020, 07:55 AM

Hope that helps Well, If all you want is Edge Detection in an image, then you can try using Sobel Operator or its equivalents.

code :

from PIL import Image, ImageFilter

image = Image.open(r"Circle.png").convert("RGB")
image = image.filter(ImageFilter.FIND_EDGES)
image.save(r"ED_Circle.png")