In this notebook, I will work on part 2 of the image stitching series. Between this post and the previous post, I go through all 7 steps of an image stitching pipeline:
In this notebook, I'll go through Part 2: calculating a transformation and actually stitching the images together. In the course of writing this post, I learned all about OffsetArrays and how they can be useful for image processing in Julia!
using ImageFeatures, Images, FileIO, ImageDraw;
I'll use the same two images I used in the previous post, two images of the Stata Center in Cambridge, MA. At the end of the post, we'll stitch them together in one large image.
img1 = load("imgs/stata-1.png")
img2 = load("imgs/stata-2.png")
[img1 img2]
To recap steps 1 through 3 from the previous post, we extracted feature points, calculated feature descriptors, and matched the points together. I'm going to copy over the get_descriptors
and match_points
functions directly.
function get_descriptors(img::AbstractArray)
imgp = parent(img)
brisk_params = BRISK()
features = Features(Keypoints(imcorner(imgp, method=harris)))
desc, ret_features = create_descriptor(Gray.(imgp), features, brisk_params)
end
function match_points(img1::AbstractArray, img2::AbstractArray, threshold::Float64=0.1)
img1p = parent(img1)
img2p = parent(img2)
desc_1, ret_features_1 = get_descriptors(img1p)
desc_2, ret_features_2 = get_descriptors(img2p)
matches = match_keypoints(
Keypoints(ret_features_1), Keypoints(ret_features_2),
desc_1, desc_2, threshold)
end
But, I'm going to modify my draw_matches
functions slightly. It might be the case that we want to match points between two images that are different vertical sizes. To make this happen, we will first need to put both images on the same canvas. To do this, I'm going to make a pad_display
function and update my draw_matches
function to use it. I in fact figured out that I needed this modification much later in the process of creating this post, but the beauty of Jupyter notebooks is that I can do back and edit things as I need, and use them later.
# this function takes the two images and concatenates them horizontally.
# to horizontally concatenate, both images need to be made the same
# vertical size
function pad_display(img1, img2)
img1h = length(indices(img1, 1))
img2h = length(indices(img2, 1))
mx = max(img1h, img2h);
hcat(vcat(img1, zeros(RGB{Float64},
max(0, mx - img1h), length(indices(img1, 2)))),
vcat(img2, zeros(RGB{Float64},
max(0, mx - img2h), length(indices(img2, 2)))))
end
function draw_matches(img1, img2, matches)
# instead of having grid = [img1 img2], we'll use the new
# pad_display() function
grid = pad_display(parent(img1), parent(img2));
offset = CartesianIndex(0, size(img1, 2));
for m in matches
draw!(grid, LineSegment(m[1], m[2] + offset))
end
grid
end
Let's make sure it all works!
matches = match_points(img1, img2, 0.08);
draw_matches(img1, img2, matches)
Note that the draw_matches
function throws a warning that comes from the ImageDraw
package. Right now we're just going to ignore this warning, but hopefully in a future notebook I can figure out how to fix it!
Now that we've found the pairs of pixels that correspond between the two images, we can use those matches to find a matrix that describes the transformation from one image to another. We can then use this transformation to warp one of the images and do the stitching.
To calculate the transformation from one image to another, we compute a transformation called a homography. It is based on the "pinhole camera assumption", where the same scene taken from the same camera is related by rotation, translation, and skew. This OpenCV tutorial has a good, practical example of homography estimation with some geometric examples.
A homography matrix has 8 free parameters - this means that with 4 pairs of matched points in our image, we can compute a homography that describes how to transform from the first set to the second set of points.
Usually, I am a fan of reusing someone else's code that is well-written, but in this case I had to take matters into my own hands.
The ImageProjectiveGeometry package implements a homography filling algorithm, but the package was built for Julia 0.4 and I had a hard time getting to play nice with my Julia 0.6 environment. Instead, I am going to write my own code for this in Julia.
My homography function is going to take some matches
returned from our descriptor matching function; as a reminder, matches
is returned as an array of Keypoints
.
To make our homography computation easier, we will create a new type (with the immutable
keyword) that is a 3 x 3 matrix, that is also a subtype of an AbstractAffineMap
from the CoordinateTransformations package. We do this because the CoordinateTransformations
package has a warp
function that can be used to apply this transformation (i.e. homography) to images, without having to write our own projection code.
using CoordinateTransformations, StaticArrays, ImageTransformations;
immutable Homography{T} <: AbstractAffineMap
m::SMatrix{3, 3, T, 9}
end
# having T in the RHS forces calling the constructor again
Homography{T}(m::AbstractMatrix{T}) = Homography{T}(m);
Now that we've set up the homography data type, we can actually write the function that will compute the homography. We want to apply it to an array if Keypoints
that we previously computed (and matched).
There are typically 2 ways in which a homography is computed:
To set up the system of equations to compute a homography, we set up a a system of equations as follows: knowing that a homography relates two points $u$ and $v$ in 3D space by $v = H u \rightarrow H u - v = 0$, which is homogenous linear equation of the form $A x = 0$ (with some clever re-arranging of the coefficients). Because we deal with 2D points (i.e. locations in an image), the 3rd dimension of $u$ and $v$ is always 1. With a little bit of algebraic manipulation you get that each pair of points contributes these 2 equations to the matrix $A$:
\begin{equation} H u - v = 0 \end{equation}\begin{equation} \begin{bmatrix} h_1 & h_2 & h_3 \\ h_4 & h_5 & h_6 \\ h_7 & h_8 & h_9 \end{bmatrix}\begin{bmatrix} u_1 \\ u_2 \\ 1 \end{bmatrix} - \begin{bmatrix} v_1 \\ v_2 \\ 1 \end{bmatrix} = 0 \end{equation}\begin{equation} \begin{bmatrix} 0 & 0 & 0 & -u_1 & -u_2 & 1 & v_2 u_1 & v_2 u_2 & v_2 \\ u_1 & u_2 & 1 & 0 & 0 & 0 & -v_1 u_1 & -v_1 u_2 & -v_1 \end{bmatrix}\begin{bmatrix} h_1 \\ h_2 \\ h_3 \\ h_4 \\ h_5 \\ h_6 \\ h_7 \\ h_8 \\ h_9 \end{bmatrix} = 0 \end{equation}\begin{equation} A x = 0 \end{equation}When we have more points, we just have more instances of the pair of equations on the left-hand side in Equation (3), with the same homography-matrix-as-a-column-vector on the right.
The good news is that in both cases (exact solution & least-squares estimation), we can use the same method: applying singular value decomposition (SVD) on the resulting equation matrix $A$ and take the smallest eigenvector. When do this with only 4 points, you get the exact solution to the system of equations.
My compute_homography
function below re-creates this linear system of equations and solves it using SVD.
function compute_homography(matches::Array{Keypoints})
# eigenvector of A^T A with the smallest eigenvalue
# construct A matrix
A = zeros(2 * length(matches), 9)
for (index, match) in enumerate(matches)
match1, match2 = match
base_index_x = index * 2 - 1
base_index_y = 1:3
A[base_index_x, base_index_y] = float([match1.I...; 1;])
A[base_index_x + 1, 4:6] = A[base_index_x, base_index_y]
A[base_index_x, 7:9] =
-1.0 * A[base_index_x, base_index_y] * match2.I[1]
A[base_index_x + 1, 7:9] =
-1.0 * A[base_index_x, base_index_y] * match2.I[2]
end
A
# find the smallest eigenvector, normalize, and reshape
U, S, Vt = svd(A)
# normalize the homography at the end, since we know the (3, 3)
# entry should be 1.
Homography(reshape(Vt[:, end] ./ Vt[end][end], (3, 3))')
end
As an aside, I learned about multi-line commands in Julia. Take for instance line 12 in the compute_homography
function above. It was too long to read on the blog, so I split it up into multiple lines. Julia will ignore all whitespace (and look at the next line for command input) until it finds a complete command. So you can put any whitespace you want in your Julia code. I like to keep it ~80 characters per line, for easy readability.
Now that we've computed the homography, we want to actually apply it to points that we got from the image.
Because a homography is a 3x3 matrix, it is applied to a point in 3D space. However, if we want to apply it to a point in 2D space (like for example, the point $(1, 1)$, which is the image origin), we need to append $1.0$ as the last element.
The output of a homography transformation is always a point in 2D space, so we need to transform the result of the homography from a 3D coordinate to a normalized 2D coordinate. We take advantage of Julia's multiple dispatch (i.e. calling of methods based on the types of the arguments) to make a bunch of utility methods that override the ()
operator and take care of this 3D / 2D conversion for us.
# these 5 functions override the () operator, so we can
# do something like H(image) and have H (the homography)
# be applied to the image, SVector{2}, cartesian index,
# or tuple.
function (trans::Homography{M}){M}(x::SVector{3})
out = trans.m * x;
out = out / out[end];
SVector{2}(out[1:2])
end
function (trans::Homography{M}){M}(x::SVector{2})
trans(SVector{3}([x[1], x[2], 1.0]))
end
function (trans::Homography{M}){M}(x::CartesianIndex{2})
trans(SVector{3}([collect(x.I); 1]))
end
function (trans::Homography{M}){M}(x::Tuple{Int, Int})
trans(CartesianIndex{2}(x))
end
function (trans::Homography{M}){M}(x::Array{CartesianIndex{2}, 1})
CartesianIndex{2}.([tuple(y...) for y in trunc.(Int, collect.(trans.(x)))])
end
# we need to override the inverse function on our homography
function Base.inv(trans::Homography)
i = inv(trans.m);
Homography(i ./ i[end])
end
Let's test our homography function (and the displaying of the result) on a simple transformation we apply on our "wild" test images from above.
Using the CoordinateTransformations
package, let's rotate one of our images a little it. Because we know the absolute transformation (a rotation), we can write it in terms of a homography and test that our compute_homography
function works as expected.
rotation = LinearMap(RotMatrix(pi/8));
img1rot = warp(img1, rotation)
Now that we have a homography (transformation) matrix, we need to apply the homography to each pixel in the first image. This will assign a new location to each pixel, effectively warping the original image into the same "space" as the second image.
A homography transforms an image into a new space. The inverse (i.e. the matrix inverse) of the homography transforms the transformed image back into the original image. To see what that's like, let's warp the rotated image by the inverse of the rotation.
out = warp(img1rot, inv(rotation))
The type of the output image is an OffsetArray - a type that we'll look at later.
typeof(out)
Let's use this simple rotated image to test our maching and homography computation code by computing the homography, drawing the two images side by side, and drawing the point matches. In the ideal case, we want the computed homography from our compute_homography
function to exactly find the rotation.
The first step is to find the matches between the image and the rotated image.
matches_rot = match_points(img1, img1rot, 0.07);
Let's visualize all the matches we got and see what happens:
draw_matches(img1, img1rot, matches_rot)
Looks great! We seem to have matched the points in this image pretty nicely (except for whatever happens with the sky). Let's see if we get the same luck with our computed homography!
H_computed_rot = compute_homography(matches_rot)
We can see that the computed homography matrix looks unintuitively strange (it doesn't look like a rotation matrix, if you're used to manipulating those). So instead we will just apply our homography to our image and draw matches between them to visualize.
warp(img1rot, H_computed_rot)
Oops, that doesn't look great! Let's finish the last step of homography computation to make this more robust!
The homography computation is a linear estimator. Like all linear estimators, it is not robust to outliers. We got such a bad image above because some of the matches (mostly in the sky) because there were a number of matches that are outliers.
The RANSAC (RANdom SAmple Consensus) method of homography estimation was invented to reduce the effect of outliers on the homography computation. The idea is simple: we can compute an exact homography using four random matched points, and see how well those points fit the other matches. The points that fit the matches well are called inliners (as opposed to outliers). Keep doing this for a number of iterations: one of the homographies that fits the point the best (i.e. had those most inliers).
Let's get to it!
function apply_ransac(matches, n_iters=20, eps=20)
best_homography_inliers = []
best_num_inliers = 0
# for N times, use 8 points to estimate the homography
for i in 1:n_iters
# randomly pick 4 points from matches
matches_sub = rand(matches, 4)
# calculate the homography
H_sub = compute_homography(matches_sub)
# calculate the number of inliers.
# apply the homography to all the points
# in the first image. calculate descriptors.
img1_points = [m[1] for m in matches]
img2_points = [m[2] for m in matches]
out = H_sub(img1_points)
dists = [sqrt(x.I[1]^2 + x.I[2]^2) for x in (out - img2_points)]
# if diff < epsilon, its an inliner
inliner_indices = dists .< eps
num_inliers = sum(inliner_indices)
# if this is the best we got so far, store it
# and all the inliers
if num_inliers > best_num_inliers
best_homography_inliers = matches[inliner_indices]
best_num_inliers = num_inliers
end
end
# calculate the new homography with all the inliers
H = compute_homography(best_homography_inliers)
end
Now that we have the RANSAC method, we just need to apply it. We've picked an arbitrary number of iterations to make sure we have enough chances to find the right combination of points. Picking the right number of iterations is a bit of a tricky thing, but more is (usually) never worse. Let's go with a few hundred and see where that leaves us.
H_ransac_rot = apply_ransac(matches_rot, 500)
Now that looks more like a rotation matrix! Let's take a look!
warp(img1rot, H_ransac_rot)
Bam!
Let's see how far we get when we apply what we have so far to the original two images:
matches = match_points(img1, img2, 0.08)
H_ransac = apply_ransac(matches, 500)
new_img = warp(img2, H_ransac)
Yay! Our homography computation worked! Now, the last step is to merge the images together into a single canvas.
Now that we have the right transformation (and it looks ok), the last step to stitching the images together in the same canvas.
The idea goes like this: both images we want to merge originally came from the same "coordinate system." A homography describes the geometric relationship between the two images, and that includes translation. So, all we need to do is figure out the translation between the first and second images, create a new image that contains both, and put the pixels from both images into that same canvas.
Now this is where Julia really shines. Remember how the warped image from above is an OffsetArray
? Like this:
typeof(new_img)
We will use this to our advantage when merging images. OffsetArrays are basically arrays, but with arbitrary start and stop indices. So while a "standard" image starts at (0,0) and goes to (1280,720) or something similar, an OffsetArray has the same height and width but might start at (-10, -100).
So how we'll use this is as follows: our new merged image canvas will be an OffsetArray
. The sizes will be determined by the two images we want to merge (one is an AbstractArray
, or "regular image" and one is an OffsetArray
, or "warped image").
As an aside, I figured out that to find the "offsets" of an OffsetArray
you use .start
and .stop
on the axes().val
object.
Once we have the dimensions of this new offset array, we are just going to put the original image into it starting at coordinate (1, 1) and ending at the size of the image.
For the merged image, we need to do something a bit more nuanced: because we projected the image into a new space, the places were there was no original pixel from the image became black. In our merging code, we want to ignore these pixels, and only place the non-black pixels into the new canvas. So we iterate through all the pixels (using indices()
as an iterator, like suggested in the Julia docs about OffsetArrays
, and ignore any black pixels.
Once we're one, our resultant new, merged image is an OffsetArray
that is exactly an image!
using OffsetArrays
function merge_images(img1, new_img)
axis1_size =
max(axes(new_img)[1].val.stop, size(img1, 1)) -
min(axes(new_img)[1].val.start, 1) + 1
axis2_size =
max(axes(new_img)[2].val.stop, size(img1, 2)) -
min(axes(new_img)[2].val.start, 1) + 1
# our new image is an offset array
combined_image = OffsetArray(
zeros(RGB{N0f8}, axis1_size, axis2_size), (
min(0, axes(new_img)[1].val.start),
min(0, axes(new_img)[2].val.start)))
# we just put the image directly into the new combined canvas
combined_image[1:size(img1, 1), 1:size(img1, 2)] = img1
# merge all the pixels into the new image that are not black
for i in indices(new_img, 1)
for j in indices(new_img, 2)
if new_img[i, j] != colorant"black"
combined_image[i, j] = new_img[i, j]
end
end
end
combined_image
end
merge_images(img1, new_img)
Voila!
Figuring out how to do panomara stitching in Julia was a LOT of fun. It also took me a while, since I had to learn a bunch of new packages and new concepts. But, all together, stiching two images together in Julia is fairly straightforward, and we generate a merged image in the process.
In this investigation I learned a few things:
OffsetArrays
can make merging images insanely easy! (the corresponding code in C++ is complicated because it involves manually finding the size of the new image together with the offsets)StaticArrays
and CoordinateTransformations
make it easy to apply transformations to images.The caveat is that I did all of this using Julia 0.6. At the time of this writing, some JuliaImages packages weren't ready for 0.7 and above, but hopefully that will change soon.
I hope someone else learning Julia will find my investigations useful. Thanks for reading, and stay tuned for more!


Path GraphPretty visualizations for ray tracing algorithms.
Save as SVG
function sampleDir(intersect, ray, scene) => [Vec2]
return [cosineSampleHemisphere(intersect.n)];
function sampleDir(intersect, ray, scene) => [Vec2]


Examining the ecosystem of trauma, content, and policing and its effects in marginalized lives on and offline.
How do you navigate and build worth and internal humanity when you see yourself in traumatizing media and how the world sees you as not worthy and not human?
Opression, brutality, and violence are now at a scale of 24/7 visibility? What does this mean for intersectionally marginalized people and their interactions with those who do not see themselves in this violence?
To what extent has White mainstream culture been able to co-opt canceling to police intersectionally marginalized peoples?


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#include <CRigidBody.hpp>
Inheritance diagram for gpx::phy2d::CRigidBody:
Public Member Functions | |
| math::Vector< 2 > | aCoef (const NewtonCollisionBase &bData) const |
| Get "a" coefficients. | |
| math::Vector< 2 > | bCoef (real_t b, const NewtonCollisionBase &bData) const |
| Get "b" coefficients for given elasticity. | |
| real_t | boundR () const |
| Get boundR value. | |
| CRigidBody (real_t mass, real_t I, phy::material_t material=0, real_t boundR=-1.0) | |
| Constructor. | |
| real_t | dislocMultiplier () const |
| Get dislocation vector multiplier. | |
| virtual real_t | findBoundR () |
| Find bounding radius. | |
| phy::material_t | material (element_t element) const |
| Get material id. | |
| phy::material_t | material () const |
| void | mountImpulse (const Impulse &impulse, const math::const_VectorPtr< 2 > &point=math::Vector< 2 >(0.0, 0.0)) |
| Mount impulse. | |
| real_t | obtainBoundR () |
| Obtain bounding radius. | |
| virtual void | performDragnDrop (DragnDropCollider *collider) |
| void | roundAwayImpulse (Impulse &impulse, const NewtonCollisionData &data, bool normal) |
| Round away impulse. | |
| void | setBoundR (real_t boundR) |
| Set boundR. | |
| void | setDislocMultiplier (real_t dislocMultiplier) |
| Set multiplier for dislocation vector. | |
| void | setMaterial (phy::material_t material) |
| virtual | ~CRigidBody () |
| Destructor. | |
Static Public Member Functions | |
| static real_t | FindBoundR (const model::VertexData< 2 > &cvertices) |
| Find bounding radius. | |
Static Public Attributes | |
| static const real_t | INITIAL_DISLOC_MULTIPLIER = 1.0 |
| Dislocation multiplier default value. | |
Private Attributes | |
| real_t | m_boundR |
| Bounding radius cache. | |
| real_t | m_dislocMultiplier |
| Dislocation multiplier. | |
| phy::material_t | m_material |
| Material. |
Abstract class representing colliding object in aspects of Newton dynamics.
| gpx::phy2d::CRigidBody::CRigidBody | ( | real_t | mass, | |
| real_t | I, | |||
| phy::material_t | material = 0 , |
|||
| real_t | boundR = -1.0 | |||
| ) |
Constructor.
| mass | mass. | |
| I | moment of inertia (calculated for center of mass). | |
| material | material id. | |
| boundR | bounding radius. Using default value (-1.0) will trigger findBoundR() function on each request to obtain bounding radius (see obtainBoundR()). This may be quite slow. To gain some efficiency, for objects which are not shifting their shape provide boundR value, use static version FindBoundR() during object creation or re-implement virtual findBoundR() function. |
| gpx::phy2d::CRigidBody::~CRigidBody | ( | ) | [virtual] |
Destructor.
| real_t gpx::phy2d::CRigidBody::FindBoundR | ( | const model::VertexData< 2 > & | cvertices | ) | [static] |
Find bounding radius.
Finds bounding radius from given vertices.
| cvertices | vertices. |
| real_t gpx::phy2d::CRigidBody::findBoundR | ( | ) | [virtual] |
Find bounding radius.
Finds bounding radius using c-model vertices. Default implementation might be quite slow since it iterates over each c-vertex.
| void gpx::phy2d::CRigidBody::setBoundR | ( | real_t | boundR | ) |
Set boundR.
| boundR | bounding radius or -1.0 to force bounding radius detection. |
| real_t gpx::phy2d::CRigidBody::boundR | ( | ) | const |
Get boundR value.
| real_t gpx::phy2d::CRigidBody::obtainBoundR | ( | ) |
Obtain bounding radius.
For convenience this function checks current boundR value and performs findBoundR() if necessary.
| real_t gpx::phy2d::CRigidBody::dislocMultiplier | ( | ) | const |
Get dislocation vector multiplier.
| void gpx::phy2d::CRigidBody::setDislocMultiplier | ( | real_t | dislocMultiplier | ) |
Set multiplier for dislocation vector.
To prevent locking in pseudo-stable states GPX dislocates bodies slightly. By default dislocation is proportional to angular momentum and bounding radius. This value is estimated as an upper bound of arbitrary c-vertex rotational motion path, that may lead to unexpected subsequent collision. By using this multiplier, dislocation vector may be fine-tuned. Although there's no limitation for multiplier value, typical values would be located inside interval [0.0, 1.0], where 0.0 removes dislocation effect completely and 1.0 leaves dislocation vector at its default upper bound estimated value.
| dislocMulitplier | dislocation vector multiplier. |
| void gpx::phy2d::CRigidBody::mountImpulse | ( | const Impulse & | impulse, | |
| const math::const_VectorPtr< 2 > & | point = math::Vector< 2 >(0.0, 0.0) | |||
| ) | [virtual] |
| void gpx::phy2d::CRigidBody::roundAwayImpulse | ( | Impulse & | impulse, | |
| const NewtonCollisionData & | data, | |||
| bool | normal | |||
| ) | [virtual] |
Round away impulse.
Just before impulse is mounted, object may modify its state according to prepared collision data. Function may be also used to round away impulse from machine epsilon truncation.
| impulse | impulse. | |
| cData | collision data. | |
| normal | true if impulse is normal, false when parallel. |
Implements gpx::phy2d::ICNewtonMovable.
| math::Vector< 2 > gpx::phy2d::CRigidBody::aCoef | ( | const NewtonCollisionBase & | bData | ) | const [virtual] |
Get "a" coefficients.
These are coefficients in form aFdt=b, where Fdt is an impulse. They have to be given in global coordinates. Separate paper shall explain how to calculate them.
Implements gpx::phy2d::ICNewton.
| math::Vector< 2 > gpx::phy2d::CRigidBody::bCoef | ( | real_t | b, | |
| const NewtonCollisionBase & | bData | |||
| ) | const [virtual] |
Get "b" coefficients for given elasticity.
These are coefficients in form aFdt=b, where Fdt is an impulse. They have to be given in global coordinates. Separate paper shall explain how to calculate them.
| p | plasticity. |
Implements gpx::phy2d::ICNewton.
| phy::material_t gpx::phy2d::CRigidBody::material | ( | element_t | element | ) | const [virtual] |
const real_t gpx::phy2d::CRigidBody::INITIAL_DISLOC_MULTIPLIER = 1.0 [static] |
Dislocation multiplier default value.
phy::material_t gpx::phy2d::CRigidBody::m_material [private] |
Material.
real_t gpx::phy2d::CRigidBody::m_boundR [private] |
Bounding radius cache.
real_t gpx::phy2d::CRigidBody::m_dislocMultiplier [private] |
Dislocation multiplier.


Order-tron is ©2021 Ian Morrill under the MIT License.
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Order-tron is ©2021 Ian Morrill under the MIT License.
The term 'Etsy' is a trademark of Etsy, Inc. This application uses the Etsy API but is not endorsed or certified by Etsy.


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Queen carries on professional as ever hours after letting Andrew quit public life
Queen Elizabeth attended an event at Chatham House in central London after Prince Andrew announced he is to step back from public duties in the wake of his interview about his friendship with Jeffrey Epstein
by Danya Bazaraa, https://www.mirror.co.uk/authors/danya-bazaraa/The Queen has been pictured carrying on with professional duties just hours after letting Prince Andrew quit public life.
She has presented the 2019 Chatham House Prize to British broadcaster David Attenborough at an event in central London this evening.
This event comes shortly after it was announced The Duke of York is to step back from public duties for the "foreseeable future", in an unprecedented move for a royal in modern times.
The Duke, on his parents' 72nd wedding anniversary, said that the Queen had given her permission for him to bow out of royal duties.
Prince Andrew - the Queen's second son - made the bombshell statement in the wake of his interview about his friendship with convicted sex offender Jeffrey Epstein.
The statement said: "It has become clear to me over the last few days that the circumstances relating to my former association with Jeffrey Epstein has become a major disruption to my family's work and the valuable work going on in the many organisations and charities that I am proud to support.
"Therefore, I have asked Her Majesty if I may step back from public duties for the foreseeable future, and she has given her permission.
"I continue to unequivocally regret my ill-judged association with Jeffrey Epstein.
"His suicide has left many unanswered questions, particularly for his victims, and I deeply sympathise with everyone who has been affected and wants some form of closure.
"I can only hope that, in time, they will be able to rebuild their lives. Of course, I am willing to help any appropriate law enforcement agency with their investigations, if required."
David Attenborough was awarded the Chatham House prize along with the BBC Studios Natural History Unit for his hit BBC nature series Blue Planet II.
The series raised public awareness around the world of the danger of plastic pollution in oceans.
The annual Chatham House Prize honours people or organisations deemed to have made the most significant contribution to the improvement of international relations.
"Plastic pollution is one of the gravest challenges facing the world's oceans, and undoubtedly an international issue," said Robin Niblett, director of Chatham House, in a statement.
"Blue Planet II spurred a passionate global response and clear behavioural and policy change."
The series, which Attenborough narrated aged 91, achieved the highest viewing figures on British television in 2017 and was sold to broadcasters around the world, scoring high ratings in many countries.


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DatePicker
Syntax
There are multiple ways to create a Flatpickr instance. In all cases, config is optional. The return value will be the Flatpickr instance, or an array of instances.
document.getElementsByClassName("myClass").flatpickr({..config});
document.getElementById("myID").flatpickr();
$(".calendar").flatpickr(); // jQuery
Or pass in a node directly.
new Flatpickr(HTMLElement, [options]);
Basic Usage
A basic datepicker
Date Formatting
Using dateFormat
<input class="form-control" data-date-format="d-m-Y">
<input class="form-control" data-date-format="m/d/Y">
<input class="form-control" data-date-format="l, F j, Y">
DateTime Picker
<input class="form-control" data-enable-time="true">
DateTime Picker: 24 Hour Mode
<input class="form-control" data-enable-time="true" data-time_24hr="true">
DateTime Picker with seconds
<input class="form-control" data-enable-time="true" data-enable-seconds="true">
Time Picker
<input class="form-control" data-enable-time="true" data-enable-seconds="true" data-no-calendar="true" value="09:01:45">
<input class="form-control" data-enable-time="true" data-enable-seconds="true" data-no-calendar="true" value="09:01:30 PM">
Date Limits - minDate and maxDate
The example below conveniently uses data-attributes for setting minDate and maxDate options.
<input class="form-control" data-min-date="today">
<input class="form-control" data-min-date="2016-09-20">
<input class="form-control" data-min-date="September 2, 2015">
<input class="form-control" data-min-date="today" data-max-date="2016-8-20">
Human-friendly Date Output
altInput can be used for displaying a friendly date format (per altFormat
) to the user while sending the date
formatted as dateFormat
to the server. Feel free to inspect the input element below after picking a date to see what's going on.
<input class="form-control" data-alt-input="true" data-alt-format="F j, Y">
Preload Date and Time
You may load the calendar with a predefined value, ranging from simple dates, such as "2016-04-10" to full-fledged datetime strings. To keep the dates in UTC/GMT, see the UTC option.
<input class="form-control" data-enable-time="true" value="Sun, 24 Jul 2016 05:16:47 GMT">
<input class="form-control" data-enable-time="true" data-default-date="2016-12-27T16:16:22.585Z">
Custom elements and input groups
Flatpickr can parse an input group of textboxes and buttons, common in Bootstrap and other frameworks.
This permits additional markup, as well as custom elements to trigger the state of the calendar.
Mark your input element with data-input
(mandatory), and any additional buttons
with data-toggle
, data-open
, data-close
, or data-clear
.
Disabling dates
Disable a date interval, or a specific date.
$("#disable-range").flatpickr({
disable: [
{
from: "2016-08-16",
to: "2016-08-19"
},
"2016-08-24",
new Date().fp_incr(30) // 30 days from now
]
});
Allowing manual input
You may let your users input dates themselves simply by toggling the allowInput
option
<input class="form-control" data-enable-time="true" data-allow-input="true">
Display week numbers
<input class="form-control" data-week-numbers=true placeholder="Enabled week numbers">
Inline or embedded calendar
<input class="form-control" data-inline="true" placeholder="Pick a date below">


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Managing Images
By the end of this exercise, you should be able to:
- Rename and retag an image
- Push and pull images from the public registry
- Delete image tags and image layers, and understand the difference between the two operations
Making an Account on Docker's Hosted Registry
If you don't have one already, head over to https://store.docker.com and make an account. This account is synchronized across two services:
- Docker Store, for browsing official content
- Docker Hub, for sharing community-generated content
For the rest of this workshop,
<Docker ID>
refers to the username you chose for this account.
Tagging and Listing Images
Download the
microsoft/nanoserver
image from Docker Store:PS: node-0 Administrator> docker image pull microsoft/nanoserver
Make a new tag of this image:
PS: node-0 Administrator> docker image tag microsoft/nanoserver mynanoserver:dev
Note no new image has been created;
mynanoserver:dev
is just a pointer pointing to the same image asmicrosoft/nanoserver
.List your images:
PS: node-0 Administrator> docker image ls ... mynanoserver dev 4c872414bf9d 3 weeks ago 1.17GB microsoft/nanoserver latest 4c872414bf9d 3 weeks ago 1.17GB ...
You should have
microsoft/nanoserver
andmynanoserver:dev
both listed, but they ought to have the same hash under image ID, since they're actually the same image. (Note you'll have a lot of other images, too - these were pre-downloaded for this workshop. On your own machines, you'll have to download the images you want usingdocker image pull
like above).
Sharing Images on Docker Hub
Push your image to Docker Hub:
PS: node-0 Administrator> docker image push mynanoserver:dev
You should get an
denied: requested access to the resource is denied
error.Login by doing
docker login
, and try pushing again. The push fails again because we haven't namespaced our image correctly for distribution on Docker Hub; all images you want to share on Docker Hub must be named like<Docker ID>/<repo name>[:<optional tag>]
.Retag your image to be namespaced properly, and push again:
PS: node-0 Administrator> $user="<Docker ID>" PS: node-0 Administrator> docker image tag mynanoserver:dev $user/mynanoserver:dev PS: node-0 Administrator> docker image push $user/mynanoserver:dev
Search Docker Hub for your new
<Docker ID>/mynanoserver
repo, and confirm that you can see the:dev
tag therein.Next, write a Dockerfile that uses
$user/mynanoserver:dev
as its base image, and installs any application you like on top of that. Build the image, and simultaneously tag it as:1.0
:PS: node-0 Administrator> docker image build -t $user/mynanoserver:1.0 .
Push your
:1.0
tag to Docker Hub, and confirm you can see it in the appropriate repository.Finally, list the images currently on your node with
docker image ls
. You should still have the version of your image that wasn't namespaced with your Docker Hub user name; delete this usingdocker image rm
:PS: node-0 Administrator> docker image rm mynanoserver:dev
Only the tag gets deleted, not the actual image. The image layers are still referenced by another tag.
Conclusion
In this exercise, we practiced tagging images and exchanging them on the public registry. The namespacing rules for images on registries are mandatory: user-generated images to be exchanged on the public registry must be named like <Docker ID>/<repo name>[:<optional tag>]
; official images on Hub just have the repo name and tag.
Also note that as we saw when building images, image names and tags are just pointers; deleting an image with docker image rm
just deletes that pointer if the corresponding image layers are still being referenced by another such pointer. Only when the last pointer is deleted are the image layers actually destroyed by docker image rm
.


The online attendance management is based on inserting deleting and updating and quering of a database management system Emphasis is mainly on a real time application taking and counting of a student in class room within a short time the main task that our project support in online attendance. activity scheduling is used by the administer and lecturer for scheduling the certain task. project monitoring includes the administrator to access all the permissions of the student ant faculty.finally by using this project. administrator can monitor and generate attendance report frequently..


Jamie Murray column: 'New' Davis Cup & visiting the Bernabeu
| 2019 Davis Cup finals |
|---|
| Venue: Caja Magica, Madrid Dates: 18-24 November |
| Coverage: Listen on BBC Radio 5 Live Sports Extra from Wednesday, 20 November; Live text coverage on selected matches on the BBC Sport website and app. Click here for Live Guide. |
Jamie Murray is part of the Great Britain team competing in the inaugural Davis Cup finals and, in his latest BBC Sport column from Madrid, talks about the controversial new format, representing his country again alongside brother Andy, plus how Real Madrid tours, pool and 'cornhole' games have fostered team spirit.
Everyone in tennis was in agreement that the Davis Cup needed to change.
The top players weren't able to commit to the event, not because they didn't want to, or because they didn't like the Davis Cup, it was just because it took so much time out of their schedule during the year.
If you got to the final it could be eight weeks in your year and with the fixtures always played right after the Grand Slams, ATP Finals or other big events, it meant the ties didn't come at the right time of the calendar.
 I'll certainly remember them the most anyway.
But the ITF had to make a change, they have made a change, some people don't like it and some people do. But this is the first year since Barcelona footballer Gerard Pique and his Kosmos group got involved so we have to see how it goes.
From a player's perspective, the format is pretty cool and it is fun to be here as a team along with 17 others, it is cool to see all the players together playing for their country and wearing their national colours.
There are a lot of good teams here, I know not all the top players in the world are playing, some didn't qualify and a couple chose not to, but there are a lot of great teams and there should be a lot of great tennis this week.
It doesn't surprise me that a lot of the top players are here, first and foremost because players love representing their countries, but also because there has been a huge injection of cash from Kosmos. There are definitely financial incentives for guys to come and play here.
I always thought 95% of the players would play if they qualified, why wouldn't you? Financially it makes sense and you have the prestige of playing in the Davis Cup.
Most of all it is a fun week, you're here with your friends, you're part of a team.
| Which of the world's top 20 are playing? | |
|---|---|
| Rafael Nadal (Spain) [1] | Fabio Fognini (Italy) [12] |
| Novak Djokovic (Serbia) [2] | Diego Schwartzman (Argentina) [14] |
| Matteo Berrettini (Italy) [8] | Denis Shapovalov (Canada) [15] |
| Roberto Bautista Agut (Spain) [9] | Karen Khachanov (Russia) [17] |
| Gael Monfils (France) [10] | Alex de Minaur (Australia) [18] |
| David Goffin (Belgium) [11] |
'We hope the stadiums will be packed'
There has been some concern about the size of the crowds and suggestions a few ties at the Caja Magica will be far from sold out.
I hope people do come out and support the event because it has the potential to be a great event.
It's like the football World Cup, a lot of those matches aren't necessarily glamour matches and the stadiums aren't full.
I'm sure it'll be the same here but for the real big matches we hope the stadiums will be packed and provide a great atmosphere which showcase potentially the best tournament in tennis.
I genuinely don't how the fans will react and whether the crowds will improve as the tournament moves through the week and develops over the next few years.
Unless you're Spanish, or you're living here in Madrid, there is a considerable cost to come for potentially a week, but I understand that a fair few Brits will be here for our matches against the Netherlands on Wednesday and Kazakhstan on Thursday.
Madrid has a Masters tournament in May where you get the best 50 men and best 50 women competing so now the city has got a new event with not all the top 50 competing, and without the women, so it might not be as attractive for them to come and watch because they've already seen tennis a few months earlier.
I hope not but we will have to wait and see then go from there.
But as far as the event goes - the organisation, logistics and set-up - it has been great.
'I'm happy to be representing Britain again with my brother'
Of course, my younger brother Andy is part of Great Britain team again, only 10 months after he had a major hip operation which left him unsure whether he'd play again.
It is great to have him back playing and fit and healthy and committed to playing for Great Britain in the Davis Cup - and it boosts our chances in the competition.
It will be a lot of tennis for him in the next five days if we are to go through the tournament to the final, which will mean playing every day.
We're always going to be a more dangerous team with him playing and if he performs to the level that we all know he is capable of then we have a great chance of going far.
Truthfully I'd never thought about whether we'd play together again in the Davis Cup during his injury struggles, but I know he loves playing and being part of a team so I'm happy he is back.
For us the motivation is playing for our country and getting together with a great team.
'The tourists at Real Madrid didn't know what was happening!'
The British squad came out to Madrid last Wednesday and Leon Smith, our Davis Cup captain, has done a great job of creating a great team spirit among the team, not just the five players but all the support staff as well.
Leon makes sure when we turn up that we have a good, fun week and everybody enjoys it regardless of what the result is and that's why I think we've had a lot of success in recent years.
He makes it fun for the players to come because he understands it can be an effort for the guys to play with another week out of the schedule.
We've done a few cool things around the city and a couple of days ago we went to the Santiago Bernabeu - Real Madrid's stadium - that was great fun.
It is a nice tour - they've won everything haven't they!
We saw the Ballon d'Ors, the Golden Boots, shirts of players from Alfredo di Stefano and Juanito to Ronaldo and Raul, we went into the dugouts and stood on the side of the pitch.
The other notable part of the tour was that we made Neal Skupski do his Davis Cup rookie speech in the Real Madrid press room!
He was supposed to do it at the official team dinner but it wasn't possible so we got him unannounced in the press room.
He did the usual speech - thanking Leon for selecting him, what a great honour it was representing Britain, saying he was looking forward to playing - but the big difference was the location and that there were also a few tourists watching who didn't know what was going on. No pressure!
We've also been having fun with a pool competition, we had the semi-finals and final on Tuesday night. Leon beat me and Andy - he hasn't shut up about that - so I know he's in the semi-finals.
The most fun activity is cornhole - an American game where you have a wooden board with a hole in the middle and you have to try and throw a bag in there - because it is mass participation and we have good fun.
I'm sure other sports teams do it but all of these activities have been a good way for team bonding and build our camaraderie going into the tournament.
Let's hope we can go all the way to Sunday's final!
Jamie Murray was speaking to BBC Sport's Jonathan Jurejko in Madrid.


I just finished my fifth year teaching after an 18 month hiatus. I usually jot this stuff down in a notebook, but it’s full, and I haven’t replaced it yet. Things to remember Wanting students to develop organizational skills requires me setting up a framework with which they can learn those skills. Even if you use standards-based grading,... Read more 05 Jun 2015 - less than 1 minute read
In the silence, a shuffle is a landslide. Clicks and ticks shake the air. Furrowed brows rattle individual hairs. Teaching is a human invention, the same is true for our Assessments. learning has been around for longer than you or I. (And you don’t need a test to show you know that.) We are a culture of inventions, addicted to “data-adds-v... Read more 28 May 2015 - less than 1 minute read
I want to think smarter. I don’t want to know more facts or spout more trivia. I don’t want to just work smarter, either. I want to actually think smarter. It’s a much harder goal to accomplish because I’m constantly evaluating not only what I’m doing, but how I’m doing it. I used to use an app called Any.do to manage a to-do list. Like most p... Read more 27 May 2015 - 3 minute read
11 days left. There’s a lot of review happening right now – we’ve finished our final chapter tests and looking ahead at a double-whammy final exam. I’m facing a large bear this year because I wasn’t here first semester, so I don’t have a good idea of what ideas need to revisited more than others. So, I’m assuming we need to touch everything at ... Read more 21 May 2015 - 2 minute read
Review kills me. I struggle with finding a good balance between fun and actual, deep, review of ideas we’ve talked about during class. I also like to make review a little tough to see if they can apply the ideas, not just recall. I think this original idea came from Crystal Kirch somewhere way back when, but I can’t seem to find the original bl... Read more 18 May 2015 - 2 minute read
Bill Fitzgerald is someone you should follow on Twitter if you need help interpreting Terms of Service or Privacy Policies. He pays real close attention to technology use in education, especially new, emerging tech. Periscope is new and teachers love it. Show the Twitters all the great learning that’s happening in real time??? Definitely sounds... Read more 15 May 2015 - less than 1 minute read
Part two of a post from the other day. First, head over to the master spreadsheet and make a copy. What Now? It’s important to note that this works just fine with form responses – you don’t have to use the text input I wrote about earlier. You can always go back and add it later. Either way you collect information, we can begin analyzing so... Read more 12 May 2015 - 3 minute read
Continuing on my data collection and analysis streak, I’ve got a little project to throw out into the wild and see what happens. Student response systems are expensive and can be clunky. Google Forms are taking over the role of the stand-alone response system because of their flexibility in the wild during collection (device agnostic) and durin... Read more 01 May 2015 - 4 minute read
Continuing on my data-trends this week, I’ve realized (consciously, at least) that when quantitative data is shown to students, it’s a report of some kind: a report card, a progress report, test scores, etc. It’s all final information – it isn’t actionable. Yesterday, we played a review game where students submitted answers to a Google form whi... Read more 29 Apr 2015 - 1 minute read
I tried something new today with my students – I asked them to rate their confidence in their answers on a 1 (total guess) to 4 (definitely know I know it) scale. I collected the aggregate information for each class and started flagging issues. First, this only took me about 5 minutes to do. So, after we finished the questions, they started wor... Read more 27 Apr 2015 - 2 minute read


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of project/IT management and software development. Demonstrated
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Every year we host our own User Group Meeting, but that’s not the only place where you can meet us in person. We regularly attend trade shows and academic conferences as well.
Come meet us at one of the following events:
2016
September
October
November
December
- • TRiRODS
- 6, CHAPEL HILL, NC
2017
February
May
June
- • iRODS User Group Meeting 2017
- 13 – 15, UTRECHT UNIVERSITY, THE NETHERLANDS
November


| crashrpt | ||
| A crash reporting system for Windows applications |
Crash reporting is a technique allowing to receive user feedback and improve quality and stability of your software. To enable crash reporting in your app, you integrate it with CrashRpt -- a light-weight crash reporting library.
CrashRpt's purpose is to automatically report crash data to the software vendor. Crash reports often include data such as stack traces, type of crash, and version of software. This information helps software developers to diagnose and fix the underlying problem causing the crash.
Intercepts Critical Errors in Your Application.
CrashRpt handles exceptions (critical errors causing application crash) in the main thread and in all worker threads of your user-mode program: SEH exceptions, C run-time (CRT) errors and signals. Among error types CrashRpt can handle, there are: NULL pointer assignment, access violation, infinite recursion, stack overflow, memory depletion and so on. For advanced information on available exception handling techniques provided by Visual C++, you may refer to About Exceptions and Exception Handling page.
Automatically Collects Information about a Crash.
If you have ever tried to determine the reason why your program crashes on user's machine, you might know how difficult it may be, given user's directions only: "I opened something, then I clicked something and then it stopped working". Most of users do not contact you to tell about the problem and just give up using your program after several crashes.
Users who decide to report the problem might not have technical knowledge, so it is difficult to determine the reason of the problem based on their incomplete instructions. This makes debugging remote crashes almost impossible, except in the simplest situations. CrashRpt does all technical information collection work automatically. When information is collected, CrashRpt sends error report over the Internet to software vendor.
CrashRpt generates error report including crash minidump, extensible crash description XML, application-defined files and desktop screenshots. For additional information on error reports, please refer to About an Error Report page.
Friendly User Interface.
CrashRpt provides UI allowing user to review the crash report and it can display its UI using different languages, which makes it even more suitable for multi-lingual applications. For software vendors who care about user's privacy, CrashRpt supports privacy policy definition. CrashRpt user interface can be customized to fix software vendor's needs. For examples of CrashRpt user interface, please refer to More Screenshots page.
For services (also called NT services, long-living noninteractive programs), CrashRpt provides the silent (non-GUI) mode, in which crash reports are generated and sent without any user interaction.
Provides Several Methods of Error Report Delivery.
After user provides his consent, CrashRpt sends the report in background over the Internet. CrashRpt can send error reports using HTTP/HTTPS or as an E-mail message.
HTTP/HTTPS delivery method is suitable for users having a web-server. Secure HTTPS connection allows to send error report data through a SSL-protected channel.
Sending crash report as a E-mail is suitable for software vendors not having servers for storing error reports. In order to send error reports over E-mail, a end user's machine should have a mail program installed, for example Mozilla Thunderbird or Microsoft Outlook.
For server software, CrashRpt provides a built-in SMTP client feature allowing to send crash reports through a pre-defined SMTP server.
For additional information on error report delivery methods, please refer to Sending Error Reports page.
Makes it Easier to Postprocess Error Reports.
Assume a software vendor receives thousands of error reports from users of his software. He would have to spend a lot of time to open each report, analyze its contents and write some summary about the report. There may be many crash reports related to the same problem, so opening them doesn't tell anything new.
That's why it is important to use a special tool helping to automate processing of arriving error reports. CrashRpt provides such a tool.
CrashRpt uses Microsoft Debug Help library for minidump creation and postprocessing, supporting all variety of processor architectures.
For additional information on automating crash report processing, please refer to Automating Crash Report Processing page.
Designed for Windows.
Unlike some cross-platform libraries, CrashRpt supports only one OS (Windows), only one programming language (C++) and only one compiler (Visual C++). CrashRpt supports Visual C++ 2005, 2008, 2010, 2012 and Visual C++ Express. It can be compiled for 32-bit and 64-bit platform. For more information, please refer to Compiling CrashRpt page.
Light-Weight.
CrashRpt library is light-weight, which means you should distribute only about 1.5 Mb of additional files with your software (dbghelp.dll, CrashRpt.dll, CrashSender.exe).
Further reading: Architecture Overview.


[CHAPTER 223
QUALITY GROWTH POLICY]
Section
223-1 Purpose
223-2 Quality growth policy
223-3 Diversification of economic development and population
growth


Excuses, Excuses!
问题描述 :
Judge Ito is having a problem with people subpoenaed for jury duty giving rather lame excuses in order to avoid serving. In order to reduce the amount of time required listening to goofy excuses, Judge Ito has asked that you write a program that will search for a list of keywords in a list of excuses identifying lame excuses. Keywords can be matched in an excuse regardless of case.
输入:
Input to your program will consist of multiple sets of data. Line 1 of each set will contain exactly two integers. The first number (1 <= K <= 20) defines the number of keywords to be used in the search. The second number (1 <= E <= 20) defines the number of excuses in the set to be searched. Lines 2 through K+1 each contain exactly one keyword. Lines K+2 through K+1+E each contain exactly one excuse. All keywords in the keyword list will contain only contiguous lower case alphabetic characters of length L (1 <= L <= 20) and will occupy columns 1 through L in the input line. All excuses can contain any upper or lower case alphanumeric character, a space, or any of the following punctuation marks [".,!?] not including the square brackets and will not exceed 70 characters in length. Excuses will contain at least 1 non-space character.
输出:
For each input set, you are to print the worst excuse(s) from the list. The worst excuse(s) is/are defined as the excuse(s) which contains the largest number of incidences of keywords. If a keyword occurs more than once in an excuse, each occurrance is considered a separate incidence. A keyword “occurs” in an excuse if and only if it exists in the string in contiguous form and is delimited by the beginning or end of the line or any non-alphabetic character or a space.
For each set of input, you are to print a single line with the number of the set immediately after the string “Excuse Set #”. (See the Sample Output). The following line(s) is/are to contain the worst excuse(s) one per line exactly as read in. If there is more than one worst excuse, you may print them in any order. After each set of output, you should print a blank line.
样例输入:
5 3 dog ate homework canary died My dog ate my homework. Can you believe my dog died after eating my canary... AND MY HOMEWORK? This excuse is so good that it contain 0 keywords. 6 5 superhighway crazy thermonuclear bedroom war building I am having a superhighway built in my bedroom. I am actually crazy.<PHONE_NUMBER>.....,,,,,0987654321?????!!!!!! There was a thermonuclear war! I ate my dog, my canary, and my homework ... note outdated keywords?
样例输出:
Excuse Set #1 Can you believe my dog died after eating my canary... AND MY HOMEWORK? Excuse Set #2 I am having a superhighway built in my bedroom. There was a thermonuclear war!
解题代码:
//* @author popop0p0popo import java.util.*; import java.io.*; public class Main{ public static void main(String[] args){ Scanner scanner=new Scanner(new BufferedReader(new InputStreamReader(System.in))); String[] kws; String[] exs,exsk; int[] kn; String fl; int n,m,max; int index=1; while (scanner.hasNext()){ fl=scanner.nextLine(); String[] t=fl.split(" "); n=Integer.parseInt(t[0]); m=Integer.parseInt(t[1]); kws=new String[n]; exsk=new String[m]; exs=new String[m]; kn=new int[m]; for (int i=0;i < n ;i++ ){ kws[i]=scanner.nextLine().toLowerCase(); } for (int i=0;i< m ;i++ ){ exsk[i]=scanner.nextLine(); exs[i]=exsk[i].toLowerCase(); String tmp=""; for (int j=0;j< exs[i].length() ;j++ ){ if (Character.isLetter(exs[i].charAt(j))){ tmp=tmp+exs[i].charAt(j); } else{ tmp=tmp+"#"; } } exs[i]=tmp; for (int j=0;j< n ;j++ ){ if (exs[i].indexOf("#"+kws[j]+"#")!=-1){ kn[i]++; } else if (exs[i].indexOf(kws[j]+"#")==0){ kn[i]++; } else if (exs[i].indexOf("#"+kws[j])+kws[j].length()+1==exs[i].length()){ kn[i]++; } } } max=kn[0]; for (int i=1;i< kn.length ;i++ ){ if (kn[i]>max){ max=kn[i]; } } System.out.println("Excuse Set #"+index++); for (int i=0;i< m ;i++ ){ if (kn[i]==max){ System.out.println(exsk[i]); } } System.out.println(); } } }
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great!
有限自动机在ACM中是必须掌握的算法，实际上在面试当中几乎不可能让你单独的去实现这个算法，如果有题目要用到有限自动机来降低时间复杂度，那么这种面试题应该属于很难的级别了。
我还有个问题想请教一下，就是感觉对于新手来说，递归理解起来有些困难，不知有没有什么好的方法或者什么好的建议？
这怎么用Catalan数啊？求解答！
多谢支持！
[…] 如果此题没有要求 相对位置不变，可以参考文章：http://www.acmerblog.com/interview-9-2427/ […]
不好意思，写错了．应该是 path[0]=0, visited[V] = true;
还是有些难度的！
顶一个 赞一个
涨姿势了
不是HDU 2411。。标题党么。。。
算法是程序的灵魂，算法分简单和复杂，如果不搞大数据类，程序员了解一下简单点的算法也是可以的，但是会算法的一定要会编程才行，程序员不一定要会算法，利于自己项目需要的可以简单了解。
因为是要把从字符串s的start位到当前位在hash中重置，修改提交后能accept，但是不修改居然也能accept
很有意思，可惜我很菜啊


Development Environment¶
In this chapter, we’ll build the initial working development environment. We’ll install some tools, create a template directory structure, and run the first round of tests to be sure things work.
We’ll start with an overview of what we’re going to build. In Deliverables_, we’ll address the kinds of deliverables that should be produced. These kinds of deliverables form the basis for each chapter.
Deliverables¶
Each chapter defines the classes to be built and the unit testing that is expected. A third category of deliverable – documentation – is merely implied.
The purpose of each chapter is to write the source files for one or more classes, the source files for one or more unit tests, and assure that a minimal set of API documentation is available.
Source Files. The source files are the most important deliverable. In effect, this is the working application program. Generally, we will be running this application from within the Integrated Development Environment (IDE).
We can always run the Python as a stand-alone program, if we want to exercise it the way end-users will see it.
In the case of Python, a “program” is the collection of
.py
files. There really isn’t much more to deliver. This makes our life simpler than in other languages with complex compilers and other tools.Unit Test Files. The deliverables section of each chapter summarizes the unit testing that is expected, in addition to the classes to be built. We feel that unit testing is a critical skill, and emphasize it throughout the individual exercises.
There are two broad approaches for unit tests.
The built-in
unittest
module has facilities for defining test classes.The add-on
pytest
package has facilities for writing somewhat simpler test functions. Thepytest
tool can collectunittest.TestCase
classes as part of a test suite, making this an ideal choice for running unit tests.
We’ll look closely at the overall project structure in the next section.
Documentation. The job isn’t over until the paperwork is done. The internal documentation is generally built from specially formatted blocks of comments within the source itself. We can use sphinx to create documentation based on the code.
We’ll be building three separate, but closely-related things: the code, the test cases, and the documentation. In the next section we’ll organize our tools.
Tools¶
Perhaps one of the most important considerations is to have a way to manage multiple Python environments. Each project will often have a unique combination of add-on libraries and tools. There are a number of “virtual environment” managers available. In this book, we’re going to suggest using conda to manage Python installation and environment setup.
While Python is often available on modern OS’s, it tends to be out-of-date. The OS Python often requires privileges to do installs and upgrades.
Important
Don’t Use the OS Python
Even if Python is already installed, don’t use it.
Always install your own, so you can keep it up-to-date without worrying about OS conflicts or privileges.
It’s rare to have a one-size-fits-all Python environment. It’s more common to have a unique virtual environment for each project.
Here’s a good way to proceed.
Download Miniconda. https://docs.conda.io/en/latest/miniconda.html
Follow the installation instructions: https://conda.io/projects/conda/en/latest/user-guide/install/index.html
Once conda is installed, create a working environment in your favorite terminal window.
conda create --name oo-design python=3.7 pytest sphinx
Activate the working environment.
conda activate oo-design
Add
tox
to the environment. This isn’t available from the libraries searched byconda
, so we’ll usepip
to install it.python -m pip install tox
At this point, we can enter the following command to see we have a useful, working virtual environment.
(oo-design) slott@MacBookPro-SLott % python -V Python 3.7.4
Python is relatively easy to work with: any text editor will serve a developer’s needs. Something as simple as Atom (https://atom.io) or something as sophisticated as PyCharm (https://www.jetbrains.com/pycharm/) are both acceptable as IDE’s.
Once we have our tools installed, the next section describes how we can organize the working directories of our project.
Working Directories¶
Because Python is a very flexible language, there are a variety of ways of organizing the software being built. We’ll provide a structure here which seems like it might be helpful. It’s not required, and a number of alternatives are possible.
The project can start out looking like this:
oo-design
|
|-- docs
|-- src
|-- tests
|-- tox.ini
This can be built by creating three empty directories: docs
, src
, and tests
.
The remaining file, tox.ini
is something we’ll look at in the Python Unit Testing
chapter.
We’ll build our application in the src
directory. The test cases
will be in the tests
directory. The documentation is something will look
at in Python Documentation.
To see how things will work in general, we’ll create a file in the src
directory
and execute it.
Edit a file,
hw.py
in thesrc
directory with the following content:print("hello world")
From the top-level of the project, the following command be used to execute the file:
(oo-design) slott@MacBookPro-SLott project % python src/hw.py hello world
We’ve started the Python run-time with the path of the
src/hw.py
file. This works reasonably well for small programs, but it doesn’t work out well when we start creating larger applications.From the top-level of the project, the following can also be used to execute the file.
(oo-design) slott@MacBookPro-SLott project % PYTHONPATH=src python -m hw hello world
This sets the OS environment variable,
PYTHONPATH
to include thesrc
directory. The-m
option locates a Python module namedhw
. Module names map to file names in a simple way. This command requires Python to search through the directories named in thePYTHONPATH
for the target module’s source file,hw.py
.Many IDE’s, like PyCharm, can add the
src
directory to thePYTHONPATH
automatically.We can simplify option three with the following one-time setup:
(oo-design) slott@MacBookPro-SLott project % export PYTHONPATH=src
After this, the environment variable it persistent for the duration of the terminal session.
We can then run our application like this:
(oo-design) slott@MacBookPro-SLott project % python -m hw hello world
Looking Forward¶
Once we have our tools installed and running, we can begin to look at general features of building applications in Python. This involves creating a few directories to separate our application from out test cases and documentation.
In the next chapter, we’ll look at setting up an initial set of unit tests. This will show the concept of unit testing, and it will also confirm the environment is setup correctly.


presentations
basic/intermediate bike repair class: 8/19/2013
AMD in 5 minutes: 3/10/2014
Rialto High School career day: 5/28/2014
Tweaking the AMD loader: 7/15/2014
Top 10 Esri JavaScript API Skills: 7/16/2014
etc.
best man speech 2/14/2013
peru 8/2014
xmas 2016
xmas 2015
xmas 2014
xmas 2013
xmas 2011
nyc 2010


{% extends 'layout.html' %} {% from "breadcrumbs/macro.njk" import govukBreadcrumbs %} {% from "button/macro.njk" import govukButton %} {% from "warning-text/macro.njk" import govukWarningText %} {% block beforeContent %} {{ govukBreadcrumbs({ items: [ { text: "Home", href: "#" } ] }) }} {% endblock %} {% block content %}
Use this service to:
Registering takes around 5 minutes.
{{ govukButton({ text: "Start now", href: "/email", classes: "govuk-!-margin-top-2 govuk-!-margin-bottom-8", isStartButton: true }) }}You can also register by post.
The online service is also available in Welsh (Cymraeg).
You cannot register for this service if you’re in the UK illegally.


In the main menu of the app there are three choices:
The 'HOME' choice displays the home page with a small introductory text.
The 'LINES' choice displays lists with the bus lines, the routes per line, the stops per route and the expected arrivals per stop.
The choice 'MySTOPS' displays a list with the favourite stops defined by the user and the expected arrivals per favourite stop.


# AWS IoT Presentation
### 2015-06-02
Tobias Wahlstrom<EMAIL_ADDRESS>Younes Abbasi<EMAIL_ADDRESS>Oskar Christensson<EMAIL_ADDRESS>Note:
Here we can write the notes that we need, just add the data-separator-notes attribute on the section..
## Agenda
- What is the Cloud?
- Managed services
- AWS IoT
- Demo
Note:
Any notes on the agenda?
## What is the Cloud?
Note:
I don't know, should we discuss Traditional IT vs. Cloud?
Upfront costs? How to handle seasonal increase in traffic?
- Traditional IT vs. Cloud
Pets and Cattle
> Pets are given names, Cattle are given numbers
> Pets are unique, Cattle are almost identical to other cattle
> Pets are nursed when ill, Cattle are replaced
## Managed services
- IaaS, PaaS, SaaS, XaaS
- Stop caring about updating, managing, allocating resources
Note:
Infrastructure as a service
Platform as a service
Software as a service
Anything as a service
### IaaS
- AWS (Amazon)
- Azure (Microsoft)
- Google Cloud Platform (Google)
### PaaS
- DynamoDB
### SaaS
- JIRA
- AWS Console
## AWS IoT
### AWS IoT
Announced 2015-10-08
Publicly available 2015-12-18
> _AWS IoT is a platform that enables you to connect devices
to AWS Services and other devices, secure data and interactions,
process and act upon device data, and enable applications to
interact with devices even when they are offline._


To ensure that I solidify this weeks learning I feel I need to put what I learned into practice. I believe the two fundamental concepts I took away from this week were Responsive Web Design, or making sure that the website in question is cross-platform accessible without comprimising the aestheitcs, and also Semantics, or organizing the structure of the HTML document to be more streamlined than possible using only divs.


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We use here Bootstrap for different dialogs, but the plugins don't provide any dialogs or buttons. You can use jQuery UI, Html5 Boilerplate, Pure, your own css, etc... and extand all m_gantt-xxxx css. You can obtain a completly different view with work.


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And Nathan said, My lord, O king, hast thou said, Adonijah shall reign after me, and he shall sit upon my throne?


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int6ktest(1) Qualcomm Atheros Open Powerline Toolkit int6ktest(1) NAME int6ktest - Qualcomm Atheros Test Applet Loader SYNOPSIS int6ktest [options] [file] [file] [...] DESCRIPTION Download and execute one or more test applets on the local powerline device. An applet is a small firmware image that can be started by the bootloader and that returns to the bootloader when done. An Atheros image file can contain one or more firmware images. Each image is preceded by a header that specifies the image size, load address and start address. int6ktest sequentially dowloads and executes each image found in each image file specified as a command line argument. It waits for each image to complete before it will download and execute the next image. The program terminates once all images in all image files have been executed or some image fails to complete within 60 seconds. Most applets return to the Bootloader on successful completion so that another applet can be downloaded and executed. This allows applet chains to be executed using one command. A chain may consist of one image file containing many applets or several image files containing one applet each or any combination. The chain will break, after a timeout, if any applet in the chain fails to return to the Bootloader. The toolkit contains a set of useful applets in folder applets. Most, if not all, are as single applet image files. Program chknvm can be used to inspect image files and programs nvmmerge and nvmsplit can be used to assemble and disas‐ semble multi-applet image files. This allows custom applet chains to be created and kept together in one file. The num‐ ber and quality of available applets will probably increase with time. Users should take the time to understand the applets they attempt to execute or confusion may result. Each applet should have an associated man page to explain what it does and how it works. Most applets execute and return to the bootloader within seconds but some loop indefinitely or stop on failure. Newer applets print test progress and outcomes on the con‐ sole but older applets merely flash device LEDs to indicate test progress and outcomes. This program is part of the Qualcomm Atheros Powerline Toolkit. See the plc man page for an overview and installation instructions. COMMENTS This program is an alternative to program amptest but is deprecated. In the future, applet designers should develop applets for amptest instead of this program. OPTIONS -c count The number of times the program will poll the device before declaring an event failure. The program will wait a fixed period of time between each poll attempt. Overall wait time is count/frequency where count can be modified using option -c. Overall wait time is always approximate since operating system overhead and latency are not taken into account. The default count is 60. -e Redirects stderr messages to stdout. By convention status and error messages are printed on stderr while primary program output is printed on stdout. This option prints all output on stdout in cases where this is desired. -i interface Select the host Ethernet interface. All requests are sent via this host interface and only reponses received via this host interface are recognized. The default interface is eth1 because most people use eth0 as their principle network connection; however, if environment string "PLC" is defined then it takes precedence over the default interface. This option then takes precedence over either default. -l Sequentially execute and re-execute all applets in all files on the command line until the program is terminated with ^C. -p frequency The polling frequency expressed in polls-per-second. For example, 1 means one poll per second and 10 means ten polls per second. Overall wait time is count/frequency where count may be modified using option -c. Overall wait time is always approximate since operating system overhead and latency are not taken into account. The default frequency is 5. -q Suppresses normal progress and status messages. -t milliseconds Read timeout in milliseconds. Values range from 0 through UINT_MAX. This is the maximum time allowed for a response. The default is shown in brackets on the program menu. -v Print additional information on stdout. Specifically, this option prints incoming and outgoing frames in hexadec‐ imal format on stdout. Output can be directed to a text file for analysis. -x Cause the program to exit on the first error instead of moving on to the next applet. Error exits return a non- zero value to the shell. -?, --help Print program help summary on stdout. This option takes precedence over other options on the command line. -!, --version Print program version information on stdout. This option takes precedence over other options on the command line. Use this option when sending screen dumps to Atheros Technical Support so that they know exactly which version of the Linux Toolkit you are using. ARGUMENTS file The name of an Atheros image file. The image file may contain one or more images. Each image will be downloaded and executed in turn until all images are executed or an image fails to return the device to the Bootloader within 1 hour for some reason. EXAMPLES The following example sequentially downloads then executes each image in file abc.nvm in turn. Each image must complete and return to the bootloader before the next one downloads. Observe that no device address is needed because Atheros powerline devices all use address 00:b0:52:00:00:01 when in bootloader mode. # int6ktest abc.nvm The following example will sequentially download and execute the images in each file abc.nvm, def.nvm and ghi.nvm in turn. # int6ktest abc.nvm def.nvm ghi.nvm DISCLAIMER Atheros image file structure and content is proprietary to Qualcomm Atheros, Ocala FL USA. Consequently, public informa‐ tion is not available. Qualcomm Atheros reserves the right to change file structure or content in future firmware releases without any obligation to notify or compensate users of this program. This program is reserved for use by Atheros Field Engineers. Use of this program may void some contractual obligations made by Atheros. SEE ALSO chknvm(1), chknvm2(1), amptest(1), nvmsplit(1), nvmmerge(1), plctest(1), setnvm(1) CREDITS Charles Maier<EMAIL_ADDRESS>open-plc-utils-0.0.3 November 2013 int6ktest(1)


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Add New Skill


| Top |
| void | gtk_misc_set_alignment () |
| void | gtk_misc_set_padding () |
| void | gtk_misc_get_alignment () |
| void | gtk_misc_get_padding () |
GObject ╰── GInitiallyUnowned ╰── GtkWidget ╰── GtkMisc ├── GtkLabel ├── GtkArrow ╰── GtkImage
The GtkMisc widget is an abstract widget which is not useful itself, but is used to derive subclasses which have alignment and padding attributes.
The horizontal and vertical padding attributes allows extra space to be added around the widget.
The horizontal and vertical alignment attributes enable the widget to be positioned within its allocated area. Note that if the widget is added to a container in such a way that it expands automatically to fill its allocated area, the alignment settings will not alter the widget's position.
Note that the desired effect can in most cases be achieved by using the “halign”, “valign” and “margin” properties on the child widget, so GtkMisc should not be used in new code. To reflect this fact, all GtkMisc API has been deprecated.
void gtk_misc_set_alignment (GtkMisc *misc
,gfloat xalign
,gfloat yalign
);
gtk_misc_set_alignment
has been deprecated since version 3.14 and should not be used in newly-written code.
Use GtkWidget's alignment (“halign” and “valign”) and margin properties or GtkLabel's “xalign” and “yalign” properties.
Sets the alignment of the widget.
misc |
a GtkMisc. |
|
xalign |
the horizontal alignment, from 0 (left) to 1 (right). |
|
yalign |
the vertical alignment, from 0 (top) to 1 (bottom). |
void gtk_misc_set_padding (GtkMisc *misc
,gint xpad
,gint ypad
);
gtk_misc_set_padding
has been deprecated since version 3.14 and should not be used in newly-written code.
Use GtkWidget alignment and margin properties.
Sets the amount of space to add around the widget.
misc |
a GtkMisc. |
|
xpad |
the amount of space to add on the left and right of the widget, in pixels. |
|
ypad |
the amount of space to add on the top and bottom of the widget, in pixels. |
void gtk_misc_get_alignment (GtkMisc *misc
,gfloat *xalign
,gfloat *yalign
);
gtk_misc_get_alignment
has been deprecated since version 3.14 and should not be used in newly-written code.
Use GtkWidget alignment and margin properties.
Gets the X and Y alignment of the widget within its allocation.
See gtk_misc_set_alignment()
.
void gtk_misc_get_padding (GtkMisc *misc
,gint *xpad
,gint *ypad
);
gtk_misc_get_padding
has been deprecated since version 3.14 and should not be used in newly-written code.
Use GtkWidget alignment and margin properties.
Gets the padding in the X and Y directions of the widget.
See gtk_misc_set_padding()
.
“xalign”
property“xalign” gfloat
The horizontal alignment. A value of 0.0 means left alignment (or right on RTL locales); a value of 1.0 means right alignment (or left on RTL locales).
GtkMisc:xalign
has been deprecated since version 3.14 and should not be used in newly-written code.
Use gtk_widget_set_halign()
instead. If you are using
GtkLabel, use “xalign” instead.
Flags: Read / Write
Allowed values: [0,1]
Default value: 0.5
“xpad”
property“xpad” gint
The amount of space to add on the left and right of the widget, in pixels.
GtkMisc:xpad
has been deprecated since version 3.14 and should not be used in newly-written code.
Use gtk_widget_set_margin_start()
and
gtk_widget_set_margin_end()
instead
Flags: Read / Write
Allowed values: >= 0
Default value: 0
“yalign”
property“yalign” gfloat
The vertical alignment. A value of 0.0 means top alignment; a value of 1.0 means bottom alignment.
GtkMisc:yalign
has been deprecated since version 3.14 and should not be used in newly-written code.
Use gtk_widget_set_valign()
instead. If you are using
GtkLabel, use “yalign” instead.
Flags: Read / Write
Allowed values: [0,1]
Default value: 0.5
“ypad”
property“ypad” gint
The amount of space to add on the top and bottom of the widget, in pixels.
GtkMisc:ypad
has been deprecated since version 3.14 and should not be used in newly-written code.
Use gtk_widget_set_margin_top()
and
gtk_widget_set_margin_bottom()
instead
Flags: Read / Write
Allowed values: >= 0
Default value: 0


The following document contains the results of PMD 5.0.2.
Files
org/dancres/blitz/jini/lockmgr/ConfigurationFactory.java
| Violation |
Line |
| Avoid unused imports such as 'net.jini.security.BasicProxyPreparer' |
39 |
| Avoid unused imports such as 'net.jini.security.ProxyPreparer' |
40 |
| Avoid unused imports such as 'com.sun.jini.config.Config' |
42 |
org/dancres/blitz/jini/lockmgr/DistributedLockManager.java
| Violation |
Line |
| Useless parentheses. |
168 |
| Useless parentheses. |
168 |
| Useless parentheses. |
242 |
| Useless parentheses. |
242 |
| Useless parentheses. |
248 |
| Useless parentheses. |
248 |
| Avoid empty if statements |
380 - 382 |
| Useless parentheses. |
464 |
| Useless parentheses. |
918 |
| Useless parentheses. |
1019 |
| Useless parentheses. |
1019 |
| Useless parentheses. |
1031 |
| Useless parentheses. |
1031 |
org/dancres/blitz/jini/lockmgr/JiniConfig.java
| Violation |
Line |
| Avoid unused imports such as 'net.jini.jeri.ProxyTrustILFactory' |
44 |
| Do not hard code the IP address |
58 |
org/dancres/blitz/jini/lockmgr/Lock.java
| Violation |
Line |
| Avoid unused imports such as 'java.rmi.RemoteException' |
37 |
| Avoid unused imports such as 'net.jini.core.lease.Lease' |
39 |
| Avoid unused imports such as 'net.jini.core.lease.UnknownLeaseException' |
40 |
| Avoid modifiers which are implied by the context |
47 |
org/dancres/blitz/jini/lockmgr/LockResult.java
| Violation |
Line |
| Useless parentheses. |
50 |
org/dancres/blitz/jini/lockmgr/LockStatus.java
| Violation |
Line |
| Useless parentheses. |
57 |
org/dancres/blitz/jini/lockmgr/Locker.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
55 - 58 |
| Avoid modifiers which are implied by the context |
70 - 71 |
| Avoid modifiers which are implied by the context |
80 - 82 |
| Avoid modifiers which are implied by the context |
84 - 86 |
| Avoid modifiers which are implied by the context |
92 |
org/dancres/blitz/jini/lockmgr/MutexTest.java
| Violation |
Line |
| Useless parentheses. |
100 |
| Useless parentheses. |
101 |
org/dancres/blitz/jini/lockmgr/MutualExclusion.java
| Violation |
Line |
| Avoid modifiers which are implied by the context |
70 - 72 |
| Avoid modifiers which are implied by the context |
74 - 75 |
| Avoid modifiers which are implied by the context |
92 - 94 |
org/dancres/blitz/jini/lockmgr/ServerImpl.java
| Violation |
Line |
| Avoid unused constructor parameters such as 'aLifecycle'. |
92 |
| Do not hard code the IP address |
120 |
| Unnecessary use of fully qualified name 'java.rmi.RemoteException' due to existing import 'java.rmi.RemoteException' |
297 |
| Unnecessary use of fully qualified name 'java.rmi.RemoteException' due to existing import 'java.rmi.RemoteException' |
306 |
org/dancres/blitz/jini/lockmgr/TxnParticipantImpl.java
| Violation |
Line |
| Avoid empty catch blocks |
100 - 108 |
| Useless parentheses. |
116 |
org/dancres/blitz/jini/lockmgr/VotingAdapter.java
| Violation |
Line |
| Avoid unused imports such as 'org.jgroups.blocks.PullPushAdapter' |
50 |
| Avoid unused private fields such as 'blocked'. |
111 |
| Useless parentheses. |
220 |
| Useless parentheses. |
223 |
| Useless parentheses. |
226 |
| Avoid empty catch blocks |
422 - 424 |


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There are three resources that make up the Fender Design System:
---
layout: design-system
title: Usage
permalink: /usage/
---
There are three resources that make up the Fender Design System:
Copy this into an HTML page, and then open that page in your browser in order to start prototyping UI elements and Layouts.
{% highlight html %}The easiest way to get started is to include the resources in the head of a project. These three libraries should cover 95% of use cases.
{% highlight html %} {% endhighlight %}TBD on the CDN


|
VK
|
Class used to obtain map of parameters supplied to the command line and to check dependencies/conflicts of options. More...
#include <CMDArgsParser.h>
Public Member Functions | |
| po::variables_map | parseCommandLineArguments (int argc, char *argv[]) const |
Class used to obtain map of parameters supplied to the command line and to check dependencies/conflicts of options.
| po::variables_map CMDArgsParser::parseCommandLineArguments | ( | int | argc, |
| char * | argv[] | ||
| ) | const |
| [in] | argc | Command line argument counter |
| [in] | argv | Pointer to a array of arguments |


Plugin Information |
|---|
View UI Test Capture on the plugin site for more information. |
Summary
Stream, persist and classify UI Test Results from a running Build.
The plugin is agnostic about what test engine you use if the required informations was provided.
Features
See the results while they conclude
If some test fail you can look at its screenshot and Build History
If some tests are Flaky and you want to separate from other tests you can classify them in "App failure" and "Test failure"
Write coments about tests to facilitate maintenance
Configuration
1. Implement the instrunctions to write the screenshot of the test method before the test close with the following filename convention:
target/screenshots/[Test Method].png
Exemple in Selenium with Java:
String actualTest = this.getClass().getName()+"."+testname.getMethodName(); File scrFile = ((TakesScreenshot)FabricaWebDriver.getDriver()).getScreenshotAs(OutputType.FILE); FileUtils.copyFile(scrFile, new File("target/screenshots/"+actualTest+".png"));
2. Also before the test finish, append the test result informations in a text file located on "target/teststream.txt" with the following format:
{"metodo":"[Test Method], "status":"[Test Result]", "classe":"[Test Class]", "descricao:":"[Display Test Method]"}
Exemple in Selenium with Java:
@Rule public TestWatcher watcher = new TestWatcher() { @Override protected void failed(Throwable e, Description description) { status= "falha"; } @Override protected void skipped(AssumptionViolatedException e, Description description) { status= "skiped"; } @Override protected void succeeded(Description description) { status= "sucesso"; } @Override protected void finished(Description d) { try { PrintWriter out = new PrintWriter(new BufferedWriter(new FileWriter("target/teststream.txt", true))); out.println("{\"metodo\":\""+actualTestMethod+"\", \"status\":\""+status+"\", " + "\"classe\":\""+actualTestClass+"\", \"descricao\":\""+actualTestMethod+"\"}"); out.close(); } catch (IOException e) { e.printStackTrace(); } } };
3. Jenkins Configuration
1. On the Job configuration active this plugin with the action "UI Test Capture" on Post-build Action
2. Add the action 'Arquive Artifacts' on Post-build Action with the value:
target/screenshots/**/*
Changelog
Release 1.0.41 (25 October 2015)
- First public release
Attachments:
1.test-results.png (image/png)
2.build-history.png (image/png)
3.move-to-quarantined.png (image/png)
4.document-the-failure.png (image/png)
2.build-history.png (image/png)
3.move-to-quarantined.png (image/png)
4.document-the-failure.png (image/png)


is a paragraph...
Click here and get 1,000,000$
This is my roll model
Click here and get the only thing money can't buy
צוות תפוח
איש צוות נוסף של תפוח
This is my ego
Steve Jobs and Zuckerberg
I don'tlike learning from mistakes


{{> site-head }}
KaniWani requires JavaScript to function properly. Please re-enable JavaScript or try refreshing the page.
{% body %}


abstract class AbstractTarAdapter extends AbstractBinaryAdapter
Methods
Details
in AbstractBinaryAdapter at line 58
public
__construct(ParserInterface $parser, ResourceManager $manager, ProcessBuilderFactoryInterface $inflator, ProcessBuilderFactoryInterface $deflator = null)
Constructor
in AbstractBinaryAdapter at line 69
public ParserInterface
getParser()
in AbstractBinaryAdapter at line 77
public AbstractBinaryAdapter
setParser(ParserInterface $parser)
in AbstractBinaryAdapter at line 87
public ProcessBuilderFactoryInterface
getDeflator()
in AbstractBinaryAdapter at line 95
public ProcessBuilderFactoryInterface
getInflator()
in AbstractBinaryAdapter at line 103
public AbstractBinaryAdapter
setDeflator(ProcessBuilderFactoryInterface $processBuilder)
in AbstractBinaryAdapter at line 110
public AbstractBinaryAdapter
setInflator(ProcessBuilderFactoryInterface $processBuilder)
Sets the inflator process builder
in AbstractBinaryAdapter at line 127
static public AbstractBinaryAdapter
newInstance(ResourceManager $manager, $inflatorBinaryName = null, $deflatorBinaryName = null)
Returns a new instance of the invoked adapter


See: Description
| Interface | Description |
|---|---|
| WZBroadcastAPI.AdaptiveBroadcaster | |
| WZBroadcastAPI.AudioBroadcaster | |
| WZBroadcastAPI.Broadcaster |
The
Broadcaster interface defines the methods that must be implemented by
classes developed as broadcast components with instances registered with an instance of the
WZBroadcast class via an instance of the WZBroadcastConfig class. |
| WZBroadcastAPI.BroadcastErrorCallback |
The
BroadcastErrorCallback interface defines the callback method that is invoked
by WZBroadcastAPI.Broadcaster classes when an error occurs during a broadcast |
| WZBroadcastAPI.VideoBroadcaster |
| Class | Description |
|---|---|
| WZBroadcast |
The
WZBroadcast class is used to configure and control a live streaming broadcast. |
| WZBroadcastAPI |
Interfaces for video and audio encoder classes developed to extend the SDK.
|
| WZBroadcastConfig |
The
WZBroadcastConfig class provides configuration properties for a live streaming broadcast |
| WZGLBroadcaster |
This class can be used to integrate the GoCoder SDK into an existing application's OpenGL ES-based rendering pipeline
to broadcast content from sources other than
WZCameraView |
| WZH264Broadcaster |
© 2016 Wowza Media Systems, LLC. All rights reserved. Terms | Privacy | Trademarks | Legal


Blond Bombshell Anna Nystrom Sizzles In White Crop Top And Tight Yoga Pants
November 17, 2019
Blond Bombshell Anna Nystrom Sizzles In White Crop Top And Tight Yoga Pants
Blond bombshell Anna Nystrom shared a sizzling snap with her 8.4 million Instagram followers that had them drooling over her dangerous curves.
In the snap, Anna rocked an athletic outfit that highlighted her voluptuous curves to perfection. On top, the blond beauty donned a tight white crop top that was so snug it appeared to be painted on. The top had long sleeves and a high neckline that hid her cleavage, but it clung to her curves and revealed a sliver of her toned stomach. She paired the crop top with some high-waisted pale gray leggings that were likewise super formfitting.
The leggings stretched high on her hips and over her thighs, accentuating her curves. The blond bombshell tugged slightly on the waistband of her pants, and stared off into the distance. Her blond locks were down in voluminous curls as she posed in front of a barren forest in Sweden. The crisp white hue of her top and the pastel shade of her pants contrasted with the dark background behind her, making her seem like a breath of fresh air in the wintery Swedish landscape.
Her makeup was neutral, and she rocked a slight smoky eye paired with nude lips and flawless skin. Just a hint of highlighter popped on her cheek to draw attention to her bone structure.
Anna’s followers couldn’t get enough of the sizzling post, and it quickly racked up over 51,900 likes within just one hour. She kept the caption very simple, just adding an emoji of a flexing arm to go with her sizzling athletic gear. Many of her fans shared their thoughts on the stunning snap in the comments section.
“Fantastic beautiful angel amazing body,” one follower said.
“Anna, you’re so beautiful it’s not funny. No woman can hold a candle to you!!!!!!” another fan added, followed by a string of emoji including heart eyes and hearts.
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“Looking gorgeous as always,” another fan said.
Yet another follower responded to the emoji she used in her caption.
“Wow you look so so phenomenal as always! Strong and beautiful @annanytrom a angel,” they commented. The fan paired the comment with a few emoji, including the same flexing arm emoji that Anna used.
While the Swedish stunner often rocks workout gear, she also gets dolled up in regular clothing from time to time. Just a day ago, the bombshell shared a snap in which she rocked a formfitting mini dress that showed off her insane body.