diffy | Find potential bugs in your services with Diffy

 by   twitter-archive Scala Version: Current License: Apache-2.0

kandi X-RAY | diffy Summary

kandi X-RAY | diffy Summary

diffy is a Scala library. diffy has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Diffy finds potential bugs in your service using running instances of your new code and your old code side by side. Diffy behaves as a proxy and multicasts whatever requests it receives to each of the running instances. It then compares the responses, and reports any regressions that may surface from those comparisons. The premise for Diffy is that if two implementations of the service return “similar” responses for a sufficiently large and diverse set of requests, then the two implementations can be treated as equivalent and the newer implementation is regression-free. For a more detailed analysis of Diffy checkout this blogpost.

            kandi-support Support

              diffy has a medium active ecosystem.
              It has 3812 star(s) with 376 fork(s). There are 219 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 71 have been closed. On average issues are closed in 1014 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of diffy is current.

            kandi-Quality Quality

              diffy has 0 bugs and 0 code smells.

            kandi-Security Security

              diffy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              diffy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              diffy is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              diffy releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 3045 lines of code, 152 functions and 45 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            diffy Key Features

            No Key Features are available at this moment for diffy.

            diffy Examples and Code Snippets

            No Code Snippets are available at this moment for diffy.

            Community Discussions


            Find line segment that intersects the most circles from a list in 2D
            Asked 2022-Apr-04 at 06:55

            I have a list of circles (x, y, radius) and a line origin (x, y), I want to be able to determine a line segment that intersects as many circles as possible with one of it's points being the line origin, the line is completely straight. This is all in 2D.

            Circles have a fixed radius and can overlap. There is no minimum distance that the line has to intersect with the circle.

            An image of what I want:

            Psuedocode is fine.


            With some help and ideas from the comments and answer(s) I have figured out how to do this, it could probably do with some optimization though.

            I have created two codepens, one of them has code that tries to center the angle, but is more resource intensive, and one that doesn't.

            No Centering: https://codepen.io/joshiegemfinder/pen/gOXzXOq

            With Centering: https://codepen.io/joshiegemfinder/pen/abVGLRJ

            I'll write my code examples in javascript, as that's probably the easiest understood language

            To find the line segment that intersects the most circles, you have to take the two tangents of each circle (that pass through the line origin) like this:



            Answered 2022-Apr-04 at 06:55

            As suggested by @Stef, compute the angles (on four quadrants) of all tangents to the circle from the line origin. Tag the angles with +1 and -1 in the trigonometric rotation order, and sort them increasingly. Ignore the circles that surround that origin.

            Now form the prefix sum of the ±1 tags and consider the angular interval that yields the largest value.

            To get the angles for a circle, compute the polar argument of the center and add plus or minus the half aperture, the sine of which is the ratio of the circle radius over the distance center-origin.

            Source https://stackoverflow.com/questions/71172057


            Wrong swipe direction js
            Asked 2022-Mar-15 at 15:00

            Please tell me, if you start touchmove from the middle of the page and move to the right, then console.log() goes right, but if you move to the left and cross the middle of the screen, console.log() will show the opposite direction, although the swipe goes in the same direction. As I understand it, this is due to the fact that touchstart coordinates are fixed from where touchmove started. How to fix this error. (see video).




            Answered 2022-Mar-15 at 13:43

            Is this what you are looking for?

            Note: For the purpose of running this in a browser, touchstart and touchmove are replaced by mousedown and mousemove

            Source https://stackoverflow.com/questions/71482657


            Java mouse events do not translate coordinates properly when zooming with mouse wheel
            Asked 2022-Feb-21 at 19:37

            I need some assistance figuring out how to translate coordinates from mouse events during zoom ... it works when zoom factor is 1.0 but not sure of algorithm when it changes...

            I can drag the rectangle around the screen when if I comment out the zoom code but once zoom, the mouse coordinates screw up once the zoom is applied

            I just cannot figure out the coordinates translation code



            Answered 2022-Feb-21 at 00:27

            Okay, so, that was a little more involved than I first thought.

            The "basic" concept is, you need to apply the same AffineTransformation you used to paint the component to you _rectangle

            So, I started by creating an instance property to keep track of the current transformation, as this is going to get re-used a bit

            Source https://stackoverflow.com/questions/71199703


            Xcode Launch Animation Storyboard Issue
            Asked 2022-Jan-06 at 21:30

            I'm very very new to swift, and xcode. I've recently have been trying to create a app for fun...

            What I am trying to achieve : (App Launch Logo Animation that after app is loaded it will take you to the home storyboard). I recently took a look at this video. It sort of confused me because my home story board is not loading correctly.

            I would have to guess this is happening because the Story Board, HomeViewController is just loading a black screen? I want it to be loading my "Home Storyboard" that I made.

            My Launch Setup : My Home Setup (what I want it to load into) notice I did change the class :

            Code For Launch / View Controller :



            Answered 2022-Jan-06 at 21:30

            You will first need to add a storyboard id to your HomeViewController in the storyboard, by convention you usually use the name of the view controller, so your storyboard id would be "HomeViewController"

            So in the box highlighted in red, enter the text "HomeViewController":

            Once you have done that then you need to instantiate it. You would change the following code in your ViewController from this:

            Source https://stackoverflow.com/questions/70610667


            Unexpected output when dealing with operator overloading in C++ using
            Asked 2021-Nov-28 at 21:36

            I am attempting to go through a "Circle" structure (basically a binary tree). Each circle has an centerX, centerY, radius, and two leaf nodes. These leaves will either both be null or both be not null. There will never be one null and one not null.

            I am using a variety of operator overloading functions. I am attempting to do one with the "," operator but I am having trouble actually getting the function to hit.

            Below is the relevant code:




            Answered 2021-Nov-28 at 21:36

            Operator , has lowest precedence of all, and therefore is the worst operator to be used in this manner: https://en.cppreference.com/w/cpp/language/operator_precedence

            Since operator = actually has higher precedence, the effect of the problem line is closer to something like:

            Source https://stackoverflow.com/questions/70147210


            draggable component in react not working as expected
            Asked 2021-Jun-24 at 09:41

            I am trying to make a draggable button using react.

            The button drags over the page in a proper manner but when I drop it. Its top and left values become negative(not even reset to their original top:0,left:0) i.e. the component goes out of the page.

            code sand box link : code

            main draggable.js component:



            Answered 2021-Jun-24 at 09:41

            In your handleMouseMove you need to check if event.clientX is a positive integer and then change the state, or else it will reduce the diffX value and it will be nevative. (On drag release this becomes 0)

            Source https://stackoverflow.com/questions/68113081


            Why does unet have classes?
            Asked 2021-Jun-11 at 09:42
            import torch
            import torch.nn as nn
            import torch.nn.functional as F
            class double_conv(nn.Module):
                '''(conv => BN => ReLU) * 2'''
                def __init__(self, in_ch, out_ch):
                    super(double_conv, self).__init__()
                    self.conv = nn.Sequential(
                        nn.Conv2d(in_ch, out_ch, 3, padding=1),
                        nn.Conv2d(out_ch, out_ch, 3, padding=1),
                def forward(self, x):
                    x = self.conv(x)
                    return x
            class inconv(nn.Module):
                def __init__(self, in_ch, out_ch):
                    super(inconv, self).__init__()
                    self.conv = double_conv(in_ch, out_ch)
                def forward(self, x):
                    x = self.conv(x)
                    return x
            class down(nn.Module):
                def __init__(self, in_ch, out_ch):
                    super(down, self).__init__()
                    self.mpconv = nn.Sequential(
                        double_conv(in_ch, out_ch)
                def forward(self, x):
                    x = self.mpconv(x)
                    return x
            class up(nn.Module):
                def __init__(self, in_ch, out_ch, bilinear=True):
                    super(up, self).__init__()
                    #  would be a nice idea if the upsampling could be learned too,
                    #  but my machine do not have enough memory to handle all those weights
                    if bilinear:
                        self.up = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True)
                        self.up = nn.ConvTranspose2d(in_ch//2, in_ch//2, 2, stride=2)
                    self.conv = double_conv(in_ch, out_ch)
                def forward(self, x1, x2):
                    x1 = self.up(x1)
                    diffX = x1.size()[2] - x2.size()[2]
                    diffY = x1.size()[3] - x2.size()[3]
                    x2 = F.pad(x2, (diffX // 2, int(diffX / 2),
                                    diffY // 2, int(diffY / 2)))
                    x = torch.cat([x2, x1], dim=1)
                    x = self.conv(x)
                    return x
            class outconv(nn.Module):
                def __init__(self, in_ch, out_ch):
                    super(outconv, self).__init__()
                    self.conv = nn.Conv2d(in_ch, out_ch, 1)
                def forward(self, x):
                    x = self.conv(x)
                    return x
            class UNet(nn.Module):
                def __init__(self, n_channels, n_classes):
                    super(UNet, self).__init__()
                    self.inc = inconv(n_channels, 64)
                    self.down1 = down(64, 128)
                    self.down2 = down(128, 256)
                    self.down3 = down(256, 512)
                    self.down4 = down(512, 512)
                    self.up1 = up(1024, 256)
                    self.up2 = up(512, 128)
                    self.up3 = up(256, 64)
                    self.up4 = up(128, 64)
                    self.outc = outconv(64, n_classes)
                def forward(self, x):
                    self.x1 = self.inc(x)
                    self.x2 = self.down1(self.x1)
                    self.x3 = self.down2(self.x2)
                    self.x4 = self.down3(self.x3)
                    self.x5 = self.down4(self.x4)
                    self.x6 = self.up1(self.x5, self.x4)
                    self.x7 = self.up2(self.x6, self.x3)
                    self.x8 = self.up3(self.x7, self.x2)
                    self.x9 = self.up4(self.x8, self.x1)
                    self.y = self.outc(self.x9)
                    return self.y


            Answered 2021-Jun-11 at 09:42

            Does n_classes signify multiclass segmentation?

            Yes, if you specify n_classes=4 it will output a (batch, 4, width, height) shaped tensor, where each pixel can be segmented as one of 4 classes. Also one should use torch.nn.CrossEntropyLoss for training.

            If so, what is the output of binary UNet segmentation?

            If you want to use binary segmentation you'd specify n_classes=1 (either 0 for black or 1 for white) and use torch.nn.BCEWithLogitsLoss

            I am trying to use this code for image denoising and I couldn't figure out what will should the n_classes parameter be

            It should be equal to n_channels, usually 3 for RGB or 1 for grayscale. If you want to teach this model to denoise an image you should:

            • Add some noise to the image (e.g. using torchvision.transforms)
            • Use sigmoid activation at the end as the pixels will have value between 0 and 1 (unless normalized)
            • Use torch.nn.MSELoss for training
            Why sigmoid?

            Because [0,255] pixel range is represented as [0, 1] pixel value (without normalization at least). sigmoid does exactly that - squashes value into [0, 1] range, hence linear outputs (logits) can have a range from -inf to +inf.

            Why not a linear output and a clamp?

            In order for the Linear layer to be in [0, 1] range after clamp possible output values from Linear would have to be greater than 0 (logits range to fit the target: [0, +inf])

            Why not a linear output without a clamp?

            Logits outputted would have to be within [0, 1] range

            Why not some other method?

            You could do that, but the idea of sigmoid is:

            • help neural network (any logit value can be outputted)
            • first derivative of sigmoid is gaussian standard normal, hence it models the probability of many real-life occurring phenomena (see also here for more)

            Source https://stackoverflow.com/questions/67932624


            How to prevent ghost movement when dragging camera in Unity?
            Asked 2021-May-06 at 13:01

            I have the below script attached to my main camera. Its for a VR app. The script allows me to rotate the camera when pressing down on the mouse button.

            The script works but the problem is, while I have the mouse button pressed down the view slightly keeps rotating towards the left. When I release the mouse button the movement stops.

            I cant find the cause of this "ghost" movement



            Answered 2021-May-06 at 13:01


            Composition in JS
            Asked 2021-Mar-30 at 06:59

            I am learning the concepts of Composition in JS. Below is my demo code.

            The moveBy function assigns the values correctly to x and y.

            However, the setFillColor function does not assign the passed value to fillColor.

            What exactly is happening when the setFillColor function is called?



            Answered 2021-Mar-29 at 14:30

            The problem stems from this assignment in createShape - annotations by me:

            Source https://stackoverflow.com/questions/66855754


            How to get an angle by using tangent in javascript?
            Asked 2021-Feb-21 at 16:07

            The red circle is at a known angle of 130°, then I want to draw the navy line from the center to 130° using x and y of the red circle but it looks like I missed the calculation.

            Currently, the angle of the Navy line is a reflection to the angle of the red line and if I add minus sign ➖ to *diffX * at line13, it'll work as expected but Why do I need to do that by myself, why can't the Calculations at line 10 and 13 figured out if x should be minus ➖ or plus.

            I couldn't figure out where I was wrong..any help/suggestions are appreciated!



            Answered 2021-Feb-21 at 16:07

            Seems you are using too much minuses.

            At first, you define angle -130 degrees, close to -3Pi/4. Cosine and sine values for this angle are about -0.7, using hypothenus = 100, we get x =W/2-70, y = H/2-70

            Source https://stackoverflow.com/questions/66299704

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