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java.lang.Object GamePlay.CollisionManager
public class CollisionManager
Used to control the logic behind all types of collision detection that take place during game play, specifically collision between: - Player and enemies, player and walls, player and powerUp, player and Door, player and flames, and player and bombs. - Enemies and walls, player and flames, enemies and flames, and enemies and bombs. It also control the logic required for resolving collisions.
| Constructor Summary | |
|---|---|
CollisionManager(Player player,
TileMap tileMap,
java.lang.String userName)
Initializes a CollisionManager object, containing the entities to be tested for collisions. |
| Method Summary | |
|---|---|
void |
checkCollisionsBetweenFlameAndBomb(java.awt.Rectangle flameRectangle,
java.util.ArrayList<Bomb> bombsPlaced)
Resolves the collisions between the bomb objects and a flame object. |
void |
checkCollisionsBetweenFlameAndDoor(java.awt.Rectangle flameRectangle,
Door door,
boolean isBonusStage)
Resolves the collision between the door object and a flame object. |
void |
checkCollisionsBetweenFlameAndEnemies(java.awt.Rectangle flameRectangle,
Flame flame,
java.util.ArrayList<Enemy> enemies,
java.util.ArrayList<KillSet> enemiesKilled)
Resolves the collisions between the enemy objects and a flame object. |
void |
checkCollisionsBetweenFlameAndPlayer(java.awt.Rectangle flameRectangle,
java.awt.Rectangle playerRectangle,
boolean isBonusStage)
Resolves collisions between the player object and a flame object. |
void |
checkCollisionsBetweenFlameAndPowerUp(java.awt.Rectangle flameRectangle,
PowerUp powerUp,
boolean isBonusStage)
Resolves the collisions between flame objects and a powerUp object. |
void |
checkCollisionsWithBombs(java.util.ArrayList<Bomb> bombsPlaced,
java.awt.Rectangle playerRectangle,
java.util.ArrayList<Enemy> enemies)
Checks collisions between the player and the bomb objects, as well as enemies and the bomb object. |
void |
checkCollisionsWithEnemies(java.awt.Rectangle playerRectangle,
java.util.ArrayList<Enemy> enemies)
Checks collision between the player and the enemies present in the grid. |
void |
checkCollisionsWithFlames(java.util.ArrayList<Bomb> bombsPlaced,
java.awt.Rectangle playerRectangle,
java.util.ArrayList<Enemy> enemies,
java.util.ArrayList<Flame> flames,
PowerUp powerUp,
Door door,
boolean isBonusStage)
Checks collision between the player, enemies, door and powerUp with the flames objects that result from a bomb blast. |
void |
checkCollisionsWithWalls(GameObject[][] objects,
java.awt.Rectangle playerRectangle,
java.util.ArrayList<Enemy> enemies)
Determines whether the enemies or the player are colliding with a wall or not. |
void |
checkCollisionWithDoor(java.awt.Rectangle playerRectangle,
Door door,
java.util.ArrayList<Enemy> enemies)
Check collisions between the player and the door object. |
void |
checkCollisionWithPowerUp(java.awt.Rectangle playerRectangle,
PowerUp powerUp)
Determines whether the player is colliding with a powerUp. |
void |
handleCollisions(GameObject[][] objects,
java.awt.Rectangle playerRectangle,
java.util.ArrayList<Enemy> enemies,
java.util.ArrayList<Bomb> bombsPlaced,
java.util.ArrayList<Flame> flames,
PowerUp powerUp,
Door door,
boolean isBonusStage)
Fundamental function of the collision manager used to trigger the logic necessary to resolve all the collisions between the objects present on the grid. |
void |
restoreToBeforeCollision(MovableObject object,
java.awt.Rectangle obstacleRectangle)
Restores the position of the object passed such that it doesn't collide with the rectangle object passed. |
void |
spawnSetOfHarderEnemies(int posX,
int posY)
Spawns a set of enemies one difficulty type higher than the hardest enemy present on the grid. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public CollisionManager(Player player, TileMap tileMap, java.lang.String userName)
player
- A player object used to determine the collisions between players and enemies.
Also note that it contains the bombs that have placed on the grid.tileMap
- A tileMap object containing the walls, powerUp, door, and flames present on the
grid.userName
- The username of the current player.| Method Detail |
|---|
public void handleCollisions(GameObject[][] objects, java.awt.Rectangle playerRectangle, java.util.ArrayList<Enemy> enemies, java.util.ArrayList<Bomb> bombsPlaced, java.util.ArrayList<Flame> flames, PowerUp powerUp, Door door, boolean isBonusStage)
objects
- Two dimensional array containing the wall objects present on the grid.playerRectangle
- The Rectangle object specifying the bounds of the player object.enemies
- ArrayList containing the enemy objects present on the grid.bombsPlaced
- An ArrayList containing the bombs objects placed on the grid.flames
- An ArrayList containing the flame objects present on the grid.powerUp
- The powerUp object present on the grid.door
- The door object present on the grid.isBonusStage
- A boolean specifying whether the current stage is a bonus stage or not.public void checkCollisionsWithWalls(GameObject[][] objects, java.awt.Rectangle playerRectangle, java.util.ArrayList<Enemy> enemies)
objects
- A two dimensional array containing the walls present in the game.playerRectangle
- The rectangle representing the collision box of the player object.enemies
- An ArrayList containing the enemy objects present in the game.public void checkCollisionWithPowerUp(java.awt.Rectangle playerRectangle, PowerUp powerUp)
playerRectangle
- The rectangle representing the collision box of the player object.powerUp
- The powerUp object present on the grid.public void checkCollisionWithDoor(java.awt.Rectangle playerRectangle, Door door, java.util.ArrayList<Enemy> enemies)
playerRectangle
- The rectangle representing the collision box of the player object.door
- The door object present on the grid.enemies
- An ArrayList containing the enemy objects present in the game.public void checkCollisionsWithBombs(java.util.ArrayList<Bomb> bombsPlaced, java.awt.Rectangle playerRectangle, java.util.ArrayList<Enemy> enemies)
bombsPlaced
- An ArrayList containing the bombs objects placed on the grid.playerRectangle
- The rectangle representing the collision box of the player object.enemies
- An ArrayList containing the enemy objects present in the game.public void checkCollisionsWithFlames(java.util.ArrayList<Bomb> bombsPlaced, java.awt.Rectangle playerRectangle, java.util.ArrayList<Enemy> enemies, java.util.ArrayList<Flame> flames, PowerUp powerUp, Door door, boolean isBonusStage)
bombsPlaced
- An ArrayList containing the bombs objects placed on the grid.playerRectangle
- The Rectangle object specifying the bounds of the player object.enemies
- An ArrayList containing the enemy objects present in the game.flames
- An ArrayList containing the flame objects present on the grid.powerUp
- The powerUp object present on the grid.door
- The door object present on the grid.isBonusStage
- A boolean specifying whether the current stage is a bonus stage or not.public void checkCollisionsBetweenFlameAndPlayer(java.awt.Rectangle flameRectangle, java.awt.Rectangle playerRectangle, boolean isBonusStage)
flameRectangle
- The rectangle representing the collision box of the flame object.playerRectangle
- The rectangle representing the collision box of the player object.isBonusStage
- A boolean specifying whether the current stage is a bonus stage or not.public void checkCollisionsBetweenFlameAndBomb(java.awt.Rectangle flameRectangle, java.util.ArrayList<Bomb> bombsPlaced)
flameRectangle
- The rectangle representing the collision box of the flame object.bombsPlaced
- An ArrayList containing the bombs objects placed on the grid.public void checkCollisionsBetweenFlameAndEnemies(java.awt.Rectangle flameRectangle, Flame flame, java.util.ArrayList<Enemy> enemies, java.util.ArrayList<KillSet> enemiesKilled)
flameRectangle
- The rectangle representing the collision box of the flame object.flame
- The flame object being tested for collision.enemies
- ArrayList containing the enemy objects present on the grid.enemiesKilled
- ArrayList used to keep track of the enemies killed. Used
for score management.public void checkCollisionsBetweenFlameAndPowerUp(java.awt.Rectangle flameRectangle, PowerUp powerUp, boolean isBonusStage)
flameRectangle
- The rectangle representing the collision box of the flame object.powerUp
- The powerUp object present on the grid.isBonusStage
- A boolean specifying whether the current stage is a bonus stage or not.public void checkCollisionsBetweenFlameAndDoor(java.awt.Rectangle flameRectangle, Door door, boolean isBonusStage)
flameRectangle
- The rectangle representing the collision box of the flame object.door
- The door object present on the grid.isBonusStage
- A boolean specifying whether the current stage is a bonus stage or not.public void checkCollisionsWithEnemies(java.awt.Rectangle playerRectangle, java.util.ArrayList<Enemy> enemies)
playerRectangle
- The rectangle representing the collision box of the player object.enemies
- ArrayList containing the enemy objects present on the grid.public void spawnSetOfHarderEnemies(int posX, int posY)
posX
- x coordinate where the harder enemies will spawn.posY
- y coordinate where the harder enemies will spawn.public void restoreToBeforeCollision(MovableObject object, java.awt.Rectangle obstacleRectangle)
object
- The object that is in collision with the obstacle Rectangle.obstacleRectangle
- The collision box of the obstacle the object is colliding with.
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Before Change
// This test only seems to pass about around 9/10 times because
// pretraining success seems to depend on weight initialisation
// Potentially comment out if travis fails because of this
self.assertTrue(runner.episode < 5000)
After Change
class TestDQFDAgent(unittest.TestCase):
def test_dqfd_agent(self):
passed = 0
for _ in xrange(10):
environment = MinimalTest(continuous=False)
config = Configuration(
batch_size=8,
memory_capacity=100,
first_update=20,
repeat_update=4,
target_update_frequency=1,
discount=1,
learning_rate=0.001,
expert_sampling_ratio=0.1,
supervised_weight=1,
expert_margin=1,
states=environment.states,
actions=environment.actions,
network=layered_network_builder(layers_config=[dict(type="dense", size=32, l2_regularization=0.0001)])
)
agent = DQFDAgent(config=config)
// First: generate some data to add to demo memory
state = environment.reset()
agent.reset()
for n in xrange(50):
action = agent.act(state=state)
// Override with correct action
action = 1
state, step_reward, terminal = environment.execute(action=action)
agent.add_demo_observation(state=state, action=action, reward=step_reward, terminal=terminal)
if terminal:
state = environment.reset()
agent.reset()
// Pre-train from demo data
agent.pre_train(10000)
runner = Runner(agent=agent, environment=environment)
def episode_finished(r):
return r.episode < 100 or not all(x >= 1.0 for x in r.episode_rewards[-100:])
// This is more than in dqn test because much smaller learning rate in pretraining
runner.run(episodes=1000, episode_finished=episode_finished)
if runner.episode < 1000:
passed += 1
print("passed")
else:
print("failed")
print(passed)
self.assertTrue(passed > 8)


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Contact :-
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|
2NVIDIA Research |
Training with multiple auxiliary tasks is a common practice used in deep learning for improving the performance on the main task of interest. Two main challenges arise in this multi-task learning setting: (i) Designing useful auxiliary tasks; and (ii) Combining auxiliary tasks into a single coherent loss. We propose a novel framework, AuxiLearn, that targets both challenges, based on implicit differentiation. First, when useful auxiliaries are known, we propose learning a network that combines all losses into a single coherent objective function. This network can learn non-linear interactions between auxiliary tasks. Second, when no useful auxiliary task is known, we describe how to learn a network that generates a meaningful, novel auxiliary task. We evaluate AuxiLearn in a series of tasks and domains, including image segmentation and learning with attributes. We find that AuxiLearn consistently improves accuracy compared with competing methods.
In this work, we take a step towards automating the use and design of auxiliary learning. We present an approach to guide the learning of the main task with auxiliary learning, which we name AuxiLearn. It leverages recent progress made in implicit differentiation for optimizing hyperparameters. We show the effectiveness of AuxiLearn in two types of problems. First, in combining auxiliaries, for problems where auxiliary tasks are predefined, we propose to train a deep neural network (NN) on top of auxiliary losses and combine them non-linearly into a unified loss. For instance, we show how to combine per-pixel losses in image segmentation tasks using a convolutional NN (CNN). Second, designing auxiliaries, for cases where predefined auxiliary tasks are not available, we present an approach for learning such tasks without domain knowledge and from input data alone.
We first present an illustrative example of how AuxiLearn changes the loss landscape and helps generalization in the presence of label noise and harmful tasks. We train the main task together with a helpful auxiliary task and a harmful one. Here $W^\star$ is the optimal solution, and $W_{train}$ is the STL solution on the train set (main task only). We train a linear auxiliary network to output task weights over the losses. The auxiliary network learns to ignore the harmful auxiliary and use the helpful one to find a better solution by changing the loss landscape.
We evaluated AuxiLearn on the task of fine-grained classification of bird species (CUB-200 dataset) using 200 auxiliary tasks. Each image is associated with a specie (one of 200) and a set of 312 binary visual attributes, which we use as auxiliaries. Here we focus on a semi-supervised setting, in which auxiliary labels are available for all images but only 5 and 10 labels per class of the main task (noted as 5-shot and 10-shot, respectively).
In certain problems, there exist a spatial relation among losses. For example, consider the tasks of semantic segmentation, depth estimation and surface-normal estimation for images. The common approach is to average the losses over all locations. We can, however, leverage this spatial relation for creating a loss-image, in which each task forms a channel of pixel-losses induced by the task. We can now stack those channels and parametrizegas a CNN that acts on this loss-image. Here we evaluate AuxiLearn on the main task of semantic segmentation on the NYUv2 dataset.
In many cases, no useful auxiliary tasks are known in advance, and we are only presented with the main task. How can we utilize the benefits of auxiliary learning in such cases? We propose using our framework to generate an auxiliary task with the auxiliary network and learning the main task and the auxiliary task with the primary network. The learned auxiliary task is tailor-made to help the learning of the main task.
This study was funded by a grant to GC from the Israel Science Foundation (ISF 737/2018), and by an equipment grant to GC and Bar-Ilan University from the Israel Science Foundation (ISF 2332/18). IA was funded by a grant from the Israeli innovation authority, through the AVATAR consortium.


We’re looking for semi senior developers to join our team. You will work on front-end and back-end tasks to build top-notch
products. We look for talented people who want to solve real life problems with good attitude and striving
for the quality of their work.
Technical Skills
You must be proficient on most of these areas or technologies:
Node.js and Yarn/NPM
Knowledge on ES6
ReactJS, Redux and Webpack
React Native, Sagas, React Navigation
Solid knowledge on HTML5 and CSS3 to create responsive interfaces for web
Styled-components (desirable)
Git version control
Knowledge on REST services and GraphQL (desirable)
Relational databases and NoSQL
General understanding of UI/UX design principles and best practices
Be able to read and write in english. Verbal communication skills are optional but desirable
Responsibilities
Help to create elegant, efficient and maintainable web applications
Engage in development of new projects and extending existing ones
Collaborate with other team members and stakeholders
And the most important!
Goodwill to create great products with high quality
Passionate in web development, takes ownership and pride in their job
Self-taught and highly motivated
Be willing to help your teammates, share your knowledge with them, and learn from them


The Best Chocolate Chip Cookies
Prep Time
45 Min.
Ingredients
- 1 1/2 cup (3 sticks) softened butter
- 1 cup brown sugar
- 1 cup granulated sugar
- 1 Tbl vanilla instant pudding powder
- 2 Tbl milk
- 2 Tbl vanilla extract
- 2 eggs
- 4 cups all purpose flour
- 2 tsp baking soda
- 1/2 tsp salt
- 4 cups chocolate chips
- 1 cup chopped walnuts or pecans(optional)
How to make Mama’s Recipe
- Preheat oven to 350 degrees
- Beat butter and sugars together until light and fluffy.
- Stir in pudding mix milk and vanilla extract.
- Beat in eggs.
- Add dry ingredients and stir until combined.
- Stir in chocolate chips and nuts.

- Bake 8-10 minutes or until golden brown.
Nutrition Information
Probably bad for you, but who cares. MMMMMM COOKIES!!!! nom nom nom
So, in case you didn't know, your grandma didn't actually make this recipe, it was altered from Open Source Recipe
Sorry to break the news.


 Last time you logged in, you were filing abridged accounts which you have not completed. Would you like to: Resume abridged accounts or start new accounts Resume your accounts File new accounts {% endblock %}
Last time you logged in, you were filing abridged accounts which you have not completed. Would you like to:


"The greatest heavyweight champ of all time"
Nicknamed the Brockton Blockbuster, he fought Jersey Joe Walcot to become boxing heavyweight champion of the world on september 23 1952 and would retain his title until he retired undefeated in 1956.


| MATLAB 文件帮助: cv.resize | 查看 cv.resize 的代码 | Index |
resize Resizes an image
dst = cv.resize(src, dsize)
dst = cv.resize(src, fx, fy)
dst = cv.resize(..., 'Interpolation', interpolation)
[w,h]
.When scale factors are specified, the output image size is computed as:
dsize = round([fx*size(src,2), fy*size(src,1)])
.
dsize
or the size computed from
size(src)
and fx
and fy
. The type of dst
is the same as of
src
.The function cv.resize resizes the image src
down to or up to the
specified size. The size and type of dst
are derived from src
, dsize
,
fx
and fy
. If you want to resize src
so that it fits a specified size,
you may call the function as follows:
dst = cv.resize(src, [w,h], 'Interpolation',interp)
If you want to decimate the image by factor of 2 in each direction, you can call the function this way:
dst = cv.resize(src, 0.5, 0.5, 'Interpolation',interp)
To shrink an image, it will generally look best with 'Area' interpolation, whereas to enlarge an image, it will generally look best with 'Cubic' (slow) or 'Linear' (faster but still looks OK).


|
|
The 3D tracker uses the 2D positions of objects as viewed by multiple cameras to determine the 3D position of the objects. The 3D Tracker filter is a DirectShow filter that runs under Microsoft Windows. The filter receives input from two or more cameras, passes it to 2D trackers to process the video frames, then calls the OpenCV 3D tracker to combine the 2D results to compute a 3D position.
The 2D trackers are COM objects that
implement an interface called ITracker
.
The available trackers are listed in registry in the
Video Trackers category.
Before using the 3D Tracker filter, you must register the tracker(s) you
want to use with regsvr32.exe
.
There is an example COM object tracker that uses the CamShift tracker
already in OpenCV. There is also an example tracker called
BlobTracker.
You can run the 3D Tracker filter using the DirectShow filter graph editor,
graphedt.exe
;
using the sample application provided, Tracker3dDemo.exe
;
or by writing your own application.
(You can use Tracker3dDemo.exe
as a starting point.)
To use Tracker3dDemo.exe
, you must first use graphedt.exe
to create a filter graph
for the sample app to load.
Before using the 3D Tracker filter, run the Calib filter with each of your cameras to determine the camera intrinsics. This needs to be done only once for each camera. Even if the cameras are moved, the intrinsics don't change. Save the intrinsics for each camera in a separate file. The 3D Tracker filter will ask for these filenames when you begin camera calibration in the 3D Tracker.
When you first insert the 3D Tracker filter into a graph, it will have no pins. Use the property page to set the number of cameras, as described below, and then in GraphEdit choose Refresh on the View menu to cause GraphEdit to redisplay the filter with the selected number of input and output pins. Before you connect the inputs and outputs, set the tracker type and input frame size also. If you save the graph, the number of cameras, the tracker type, and the input size are saved with the graph.
After you have set up the filter and connected it up, the graph will look something like this. You may have additional decompression or color conversion filters, depending on your cameras and your computer's display.
Right click on the 3D Tracker and choose Filter Properties... to bring up the filter's property page. A tab for the trackers' property page will be displayed as well if a tracker has been selected.
The controls in the box can be changed only when none of the pins of the filter are connected. You must click Apply after changing any of the controls in the box for them to take effect.
The checkerboard that is used for camera intrinsics calibration should have a large number of squares and be held close to the camera. A different checkerboard may be used to calibrate the 3D Tracker filter. It can have fewer, larger squares so it can be held farther from the camera. It must be visible to all the cameras at once. The position of the checkerboard when the 3D Tracker camera calibration is done determines the 3D coordinate system that is used to report the locations of the tracked objects. The plane of the checkerboard is the x-y plane, with the origin being the lower-left intersection on the checkerboard.
When you begin camera calibration, you will see red circles on the images of the checkerboard as it finds corners. When it finds all the corners in an image, the circles change to rainbow colors. Once it finds all the corners in all the images at the same time, the locations of the cameras is saved and calibration stops. If this happens instantly, you may only see a flash of color in the images. To force it to keep running the calibration step even after all the corners are found, hold down the control key when you click on Calibrate cameras. Click Calibrate cameras again (without the control key) to cause it to finish calibrating.
If you are using the BlobTracker to track infrared LEDs and you have infrared filters on the cameras, you must evenly illuminate the checkerboard with a fairly intense infrared source. A 250 watt infrared flood lamp works well. A regular (non-infrared) flood lamp probably would work as well.


Momentum is defined as the product of mass and velocity.
A rapidly moving truck has a large momentum. It takes a large or prolonged force to get the truck up to this speed, or to bring it to a stop afterwards.
A slow moving snail has a small momentum. It would be easy to slow down or speed up a little snail.
$$p = mv$$
\(p\) = momentum [kg m/s] vector\(m\) = mass [kg]
\(v\) = velocity[m/s] vector
Google a typical mass and velocity.
solution
$$\text{convert to m/s}$$ $$ 18 \left( \mathrm{ \frac{\color{red}{mile}}{\color{blue}{hour}}} \right)\left(\frac{1609\,\mathrm{ m}}{1 \,\color{red}{\mathrm{mile} }}\right)\left(\frac{1\, \color{blue}{ \mathrm{hour} }}{3600\, \mathrm{s} }\right) = 8.0 \mathrm{\tfrac{m}{s}} $$$$p=mv$$ $$p=(5 \, \mathrm{kg})(7.6 \, \mathrm{\tfrac{m}{s}})$$ $$p=38 \,\mathrm{kg \tfrac{m}{s}}$$
Impulse
An impulse is defined as both a force multiplied by time (FΔt) and a change in momentum (Δp). The longer a force is applied, the more the momentum will change.
Examples of impulse:cars crashing
rockets accelerating
punching
jumping
derivation of impulse
$$F = ma$$ $$a = \frac{\Delta v}{\Delta t}$$ $$\text{substitute acceleration with Δv/Δt}$$ $$F = m \frac{\Delta v}{\Delta t}$$ $$F \Delta t = m \Delta v$$$$F \Delta t = m(v_f - v_i)$$ $$F \Delta t = mv_f - mv_i$$ $$F \Delta t = p_f - p_i$$ $$F \Delta t = \Delta p$$
$$J = F \Delta t = \Delta p = m\Delta v$$
\(J\) = impulse [Ns, kg m/s] vector\(F\) = force [N, kg m/s²] vector
\(\Delta t\) = time period [s]
\(\Delta p\) = change in momentum [kg m/s] vector
\(m\) = mass [kg]
\(v\) = velocity[m/s] vector
solution
$$F \Delta t = m\Delta v$$ $$\frac{F \Delta t}{\Delta v} = m$$ $$\frac{(-100)(0.1)}{14-15} = m$$ $$\frac{(-100)(0.1)}{-1} = m$$ $$10 \, \mathrm{kg} = m$$solution
$$ 60 \left( \mathrm{ \frac{\color{red}{mile}}{\color{blue}{hour}}} \right)\left(\frac{1609\,\mathrm{ m}}{1 \,\color{red}{\mathrm{mile} }}\right)\left(\frac{1\, \color{blue}{ \mathrm{hour} }}{3600\, \mathrm{s} }\right) = 26.8 \mathrm{\tfrac{m}{s}} $$$$F \Delta t = m\Delta v$$ $$F = \frac{m\Delta v}{\Delta t}$$ $$F = \frac{(2250)(26.8)}{2.8}$$ $$F = \frac{60300}{2.8}$$ $$F = 21536 \, \mathrm{N}$$
How does the 0 to 60 miles/hour acceleration compare to the acceleration of gravity?
solution
$$F = 21536 N$$ $$F = ma$$ $$\frac{F}{m}=a$$ $$\frac{21536}{2250}=a$$ $$a = 9.57 \,\mathrm{ \tfrac{m}{s^2} }$$ $$ g = 9.81 \, \mathrm{\tfrac{m}{s^2}} $$It's just a bit under the acceleration of gravity. How would that feel?
Conservation of Momentum
Momentum is useful because the total momentum for a system of objects is conserved. This means the sum of all momentums won't change even if the objects collide.
Click the simulation above a few times and note that the total momentum is the same before and after a collision.
Conservation of momentum isn't true if one of the objects in the system interacts with an object outside the system. For example: conservation doesn't hold if an object hits the ground, and the ground isn't part of our system.
Conservation of momentum means we can set the total momentums at two points in time equal to each other. (as long as there are no outside forces)
$$ \sum p_{\mathrm{initial}} = \sum p_{\mathrm{final}}$$ $$m_1 u_1 + m_2u_2 + \cdots = m_1v_1 + m_2v_2 + \cdots$$
\(p\) = momentum [kg m/s] vector\(u\) = initial velocity [m/s] vector
\(v\) = final velocity [m/s] vector
\(m\) = mass [kg]
solution
$$\sum p_{\mathrm{initial}} = \sum p_{\mathrm{final}}$$ $$\text{green + white = green + white}$$ $$m_{1}u_{1}+m_{2}u_{2}=m_{1}v_{1}+m_{2}v_{2}$$ $$(2)(3)+(10)(-1)=(2)v_{1}+(1)(10)$$ $$6-10=(2)v_{1}$$ $$-4=(2)v_{1}$$ $$-2 \mathrm{\tfrac{m}{s}} = v_{1}$$| green box | blue box | orange box |
|---|---|---|
| m = 1.60kg | m = 4.90kg | m = 3.60kg |
| u = 3.0m/s | u = 2.0m/s | u = -1.0m/s |
| v = ??? | v = 1.18m/s | v = 1.58m/s |


--- layout: article breadcrumbs: ["Grades", "Examples…"] title: Receding Baseline text: What goes around comes around ---
Text rendered in 3D environments can respond to its "distance" from the user, maintaining readability under varying conditions.


Keyword: Machine dynamics, Non-linear control, Mathematica, Arduino
The classic game Shoot-the-Moon has interesting dynamics despite its simple structure, consisting of a steel ball rolling on two cylindrical rods. The two sloped rods are hinged at the lower ends and allowed to freely slide in a slot at the higher end. The ball can amazingly roll upward along the rods under carefully manipulation of the rods. There is also an interaction between ball rotation and translation that cause the ball to “shoot” (quickly accelerate).
The kinematics of the system are developed for the Shoot-the-Moon and then equations of motion are derived using Lagrangian approach. The constrain is that the ball has to be attached to the rod and the system is non-holonomic.
Two controllers based on the dynamic model are created. The first one is called Linearized Position Regulator which uses a local linearizion at an equilibrium point of the dynamics. Both controllers are simulated at 100Hz. What this controller can do is given then current location of the ball and a random target position along the rod, the controller will try to make the ball to stabilize around the target position by maneuvering the rod. The control loop for this method is like this:
"x(t)" is a 2x1 matrix consists of the position and the velocity of the ball. "u(t)" represents the angle between the rod. The "A", "B" and "C" terms shown in the loop are used to construct the transfer function below:
The control loop above indicates a full state feed back control for a linearized system, so "r = 0" and "u(t) = K*x(t)" which is the control law for the system. By placing poles, we can get the gain and apply the control law to the system. Two pictures below are the simulation results using the Linearized Position Regulator method:
The figure on the left is the reference trajectory of the ball on the rod. If the ball is at origin of the rod, then the controller will try to push the ball to reach the reference position which is shown in the figure on the right hand side.
The second one is called Position Tracking Controller and what it does is that given a position on the rod, the controller can return a desired acceleration by changing the rod angle. The controll loop for this method is like this:
Block "T" here represents the transfer function which takes a reference acceleration with feedback and returns a theta which is the angle between the rods. Two pictures below are the simulation results using the Position Tracking Controller method:
From the simulation results just listed above, it can be noticed that Position Tracking Controller has faster response than Linearized Position Regulator meaning it can allow the ball to do complex motion on the rod, for example a sinusoidal motion. However, Linearized Position Regulator is much more reliable because the Position Tracking Controller includes the sub-process of finding a root of a non-linear equation and it cannot always guarantee to return a solution. Therefore, it makes Position Tracking Controller difficult to balance the the ball when it is far away from the origin.
The mechanical design of the system is based on using stepper motor, pulleys and belts. The stepper motor is NEMA 23 7.4V unipolar stepper motor which has 200 steps to finish one revolution. I used DRV8835 as the H-brdige to interface the motor with my microcontroller(Arduino Mega 2560) and I programmed the microcontroller to be able to control the stepper motor to do half-step, meaning the it takes 400 steps for motor to finish one revolution.
There are two pulleys in the system, one is attached to the motor and another one is the passive pulley. A timing belt is attached on those pulleys and the space between the pulley is adjusted so that it would cause enough tension on the belt. Two rods were attached to the belt while one is attached to the upper part of the belt and the other one is attached to the lower part of the belt. This configuration would allow the rod to move symmetrically in opposite direction when the motor is spinning.
When all the parts of the system are well positioned, I sample the simulation trejactory and feed it into the motor. The video below shows my result.
I am still working on this project since I have just achieved open loop control. Closing the loop would need some feedback systems to return the position on real time. There are two solutions. The first one is using Pololu QTR-8RC Reflectance Sensor Array. This sensor array is mainly used for a line-following. Each sensor on the sensor array can measure the distance between the sensor and the object which is put in front of the sensor. If such sensors are evenly distributed along the rod, it can detect the position of the ball, though it requires some estimator to estimate the ball position when its center is in between two sensors. The second one is using computer vision techniques. This would require a camera with high frequency up to 100Hz. Since the ball is made of metal and it is reflective, the system has to be correctly set up so that the ball features can be extracted.
This is the github link to my source code.
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Slider Text Your Description
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public final class CommAPI
extends java.lang.Object
All communication related methods are part of this static class and are implemented originally by com.mashape.unirest.http.Unirest. Creating an object of this class is not allowed and should be used only as a static class methods.
Apart from communication API, it also contains methods to support communication like CommAPI#stringURLEncode, CommAPI#stringURLDecode and CommAPI#getEC2DNSList
| Modifier and Type | Method and Description |
|---|---|
static java.util.List<java.lang.String> |
getEC2DNSList(java.lang.String type,
java.lang.String sep)
Reads the EC2 DNS List populated by the deployment script
|
static java.lang.String |
sendGetRequest(java.lang.String protocol,
java.lang.String dns,
java.lang.String mapping,
java.util.HashMap<java.lang.String,java.lang.Object> queryStringMap)
Sends GET request to the node being defined by the input parameters
|
static void |
setDefaultHeaders(java.lang.String Header,
java.lang.String Value)
Set default header for the GET request
|
static void |
setReqConcurrency(int maxTotal,
int maxPerRoute)
Set the concurrency levels for the GET request
|
static void |
setReqTimeout(long connTimeout,
long socketTimeout)
Sets the connection and socket timeout for the GET requests
|
static java.lang.String |
stringURLDecode(java.lang.String input)
Decodes a URL encoded string received by this node
|
static java.lang.String |
stringURLEncode(java.lang.String input)
URL encodes a string before sending it over the network to avoid transmission errors and failures
|
public static java.lang.String sendGetRequest(java.lang.String protocol, java.lang.String dns, java.lang.String mapping, java.util.HashMap<java.lang.String,java.lang.Object> queryStringMap) throws java.io.IOException
protocol
- Application level protocol being used to send the requestdns
- DNS of the node to which request is being sentmapping
- Mapping to the servlet on the node server to which request is being sentqueryStringMap
- Query key:value map for the servlet on the node to which request is being sentjava.io.IOException
- if connection cannot be establishedpublic static java.lang.String stringURLEncode(java.lang.String input) throws java.io.UnsupportedEncodingException
input
- Input string to be encodedjava.io.UnsupportedEncodingException
- if string cannot be encoded in UTF-8 formatpublic static java.lang.String stringURLDecode(java.lang.String input) throws java.io.UnsupportedEncodingException
input
- URL encoded stringjava.io.UnsupportedEncodingException
- if string cannot be decoded in UTF-8 formatpublic static java.util.List<java.lang.String> getEC2DNSList(java.lang.String type, java.lang.String sep)
type
- Possible inputs are master
or worker
for reading the master or the worker
node DNSs respectivelysep
- The separator between the DNSs in the DNS List filepublic static void setReqTimeout(long connTimeout, long socketTimeout)
connTimeout
- The timeout until a connection with the server is established (in milliseconds). Default is
10000. Set to zero to disable the timeout.socketTimeout
- The timeout to receive data (in milliseconds). Default is 60000. Set to zero to disable the
timeout.public static void setDefaultHeaders(java.lang.String Header, java.lang.String Value)
Header
- The header input as a stringValue
- The value for the corresponding header as a stringpublic static void setReqConcurrency(int maxTotal, int maxPerRoute)
maxTotal
- Defines the overall connection limit for a connection pool. Default is 200.maxPerRoute
- Defines a connection limit per one HTTP route (this can be considered a per target host
limit). Default is 20.


Building things it's fun
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- One - Roman numeral (Observe the difference between this underline and point IV.)
- Two - Roman numeral (Italic)
- Three - Roman numeral (Bold)
- Four - Roman numeral (Underline)
- bullet point #5


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I felt this concept helped me know when to stop working on the site, for right now, even if it feels ugly or unfinished. I understood that the point was not to have an incredible portfolio site, but to learn about frameworks and grids and try them out through the medium of my portfolio site. I, personally, am unhappy with the aesthetics of my site. It looks way too amateurish and child-like to me. But through this I learned more about frameworks, and the grid style class, and flex boxes, and so on. I also learned of things I didn't have time to do (like get good at making an SVG). It was hard to not just tinker on my site forever, or to avoid feelings of disatisfaction when comparing the site to other portfolios....but I remembered i'm in week 3 of my 18 week process, and I have time to learn, refine, and make something I'm proud of. This epiphany helped me finish the week in a way I was proud of.
I thought it was great and essential for life.
To be honest, not much new as it's already a large part of my life. I did learn that a decent amount of people seem to require a scientific basis and rationality for it, before they'd even attempt it. This was a large part of Meng's tone, which did not reach me personally, but seems to help reach his intended audience.
I liked that he advised specifically for setting intentions. That's one of the most powerful things you can do, I think, and it was cool to see it a part of his process.
I'm excited for Phase 1(2?), when we are all in a group together, to see what our group mindfulness practice is like, or how we can support each other in both coding and consciousness.


parameters are from rcParams unless a figure attribute is set.
if fig is not None:
warnings.warn("the "fig" kwarg is deprecated "
"use "figure" instead", mplDeprecation)
if figure is None:
figure = fig
if figure is None:
parameters are from rcParams unless a figure attribute is set.
if fig is not None:
cbook.warn_deprecated("2.2", "fig", obj_type="keyword argument",
alternative="figure")
if figure is None:
figure = fig
if figure is None:


Below you will find a tutorial on how to connect Docker and PyCharm. The tutorial assumes you have both Docker and PyCharm installed. The tutorial also assumes you have pre-existing Python code and Dockerfiles or at least knowledge to create them. If you do not, sample files can be downloaded in the appropriate section.
Ensure that the Docker Desktop application is running. If it is not, launch the application.
Launch the PyCharm application.
Verify that both applications are now running without any issues.
Navigate to the File option across the top ribbon and expand the menu.
From the File menu, navigate down to Settings as seen above.
Launch the Settings screen and Navigate to the Build, Execution, Deployment section displayed on the screen below.
From here, select Docker either from the Menu Tree or the link within the Settings Window. This will open the Docker specific Settings Window.
If you have not previously connected any Docker instances, the section below will be blank. Click the + button highlighter below to add a new Docker instance.
From here, you will have several options depending on which version of Docker you have installed. Ideally, you will have Docker Desktop installed and the screen will be identical to the one below.
On the screen above make sure to change the Name section if you would like to identify the Docker instance by any other name. The default paths should also work unless you have a non-default path for Docker.
Once everything has been validated, click the OK button.
At this point everything should be connected and ready to added to our Runtime Configuration. To start this process, click the Add Configuration across the top of the PyCharm application as seen below.
This will open the Runtime Configuration window. From the Template Tree, choose Docker and then Dockerfile.
This will open all of the Docker specific settings that we will need.
As you can see, there are several settings here that can be entered. The most important ones are Dockerfile, Context Folder, and Run Built Image. Using the dropdown, select your Dockerfile. If you do not have one, a sample file can be downloaded below. Next you will want to ensure you have a "." in the Context Folder line. Lastly, ensure the Run Built Image checkbox is checked.
Once you are done. Click the OK button.
At this point you should be able to run your Python Code within the Docker container by pressing the Play button across the top.
The Python program will then start to output across the bottom of the PyCharm application.
If the sample code from the previous section was used, the output should be similar to the one above.


Roche tests 'brain shuttle' in humans in Alzheimer's project
ZURICH (Reuters) - Roche is testing its “brain shuttle” in humans, with the Swiss drugmaker hoping to rejuvenate the theory that removing amyloid plaques from the brains of patients with Alzheimer’s disease will prove effective despite repeated failures.
Azad Bonni, Roche’s head of neuroscience translational medicine and rare diseases, said on Monday that Phase I trials have begun with a version of its experimental gantenerumab monoclonal antibody designed to cross the barrier that separates circulating blood from the brain.
Called the brain shuttle, the technology aims to deliver a more-efficient payload than that possible with a systemic medicine, where only a small fraction of the drug may reach the central nervous system.
Roche’s work on the brain shuttle began more than a half decade ago, first in mice and finally now in humans.
“This should lead to faster and wider access to the target,” Bonni told about 300 investors and analysts during a presentation about Roche’s Swiss pRed research group’s pipeline.
“We should see faster amyloid beta removal throughout the brain tissue. The unique access to the target is very exciting here.”
Many drugs based on clearing amyloid plaques from Alzheimer’s patients’ brains to slow or halt the fatal form of dementia have failed. However, Roche’s continued work with gantenerumab — as well as Biogen’s move last month to resurrect a medicine previously judged to have flopped in two trials — shows scientists have yet to give up hope.


Motorcycling: Marquez triumphs in Valencia to give Honda triple crown
World champion Marc Marquez won the Valencia GP on Sunday with a superb performance for his 12th victory of the season to ensure that the Repsol Honda team won the teams' world title.
REUTERS: World champion Marc Marquez won the Valencia GP on Sunday with a superb performance for his 12th victory of the season to ensure that the Repsol Honda team won the teams' world title.
The 26-year-old, who began the day behind Petronas Yamaha's pole-sitter Fabio Quartararo, overtook the French rookie with a superb move in the eighth lap and never looked back to finish the race in 41 minutes, 21.469 seconds.
Quartararo finished second, 1.026 seconds behind Spaniard Marquez, while Australia's Jack Miller was third for the non-works Pramac Ducati team.
Marquez, who won his sixth world title last month, recovered from an early fall to top the warm-up session earlier in the day but looked unstoppable in the race despite a slow start.
Victory meant that the Repsol Honda team captured the teams championship ahead of Ducati, in addition to the constructors' title for a memorable triple crown.
Triple MotoGP world champion Jorge Lorenzo, who announced on Thursday that he would retire after the season-ending race, kept his cool in windy conditions that made racing tricky with a number of riders crashing out.
The 32-year-old Mallorcan, representing the Repsol Honda team, finished his illustrious career and an injury-blighted season in 13th place.
(Reporting by Shrivathsa Sridhar in Bengaluru)


Results
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We were a small industrial and trade focused corporation founded by old friends and revitalized by new players.
We moved from high sec early and grew quickly in our new home. Since that initial arudous journey we have matured into a formidable group who not only have continued to pursue our industrial interests while not losing sight of the space we must defend in order to do so.
Over the past 6 months we have grown from a small mostly inexperienced group of strangers to a large contributor to one of the largest ( and more progressive ) alliances in the whole of New Eden. I want to thank and congratulate all of those who have been with us from the beginning - and welcome all the people just joining for the ride as we all have great hopes for the things to come.
- management
TOG DIED
Great job to all who were there !
“Let your plans be dark and impenetrable as night, and when you move, fall like a thunderbolt.”
- Sun Tzu
WE ARE DROPPING THE CORPORATION TAX TO 0.
ALL BUY PRICES SHALL REMAIN THE SAME
( they are already essentially at Jita )
Each member will pay for their alliance contribution AND corporation taxes via a single corporation issued contract. Taxes are calculated by the number of ACCOUNTS a member uses.
By and large everyone should SAVE money - based on the contributions we recieved and the suggested alliance contribution of 4 hours these numbers seem to work out.
We have plans to add reductions and "penalties" in the future to create incentives toward accomplishing corporation and alliance initiatives.
Tax Formula (per character) =
BASE_RATE / ( 1 + PERCENT_FALLOFF )N
where N is the account number ( 1 , 2 , 3 etc ))
The totals are then summed and you are issued a bill.


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the cottage in half called next year ''.
[2]
that the resort ’s main dining room could n’t have.


Experience Video games.
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Purchase them before they are gone!
Red Dead II
Dark Souls III
Classic NES
Batman VR
Uncharted 4
Tomb Raider
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09 May 1997
Disease Outbreak Reported
A total of 4437 cholera cases with 146 deaths have been reported since the end of November 1997 to 7 May 1997 although the real number of cases is believed to be higher because of the difficulty of data collection. Weekly reports have been made by NGOs working in the country as well as by the local authorities where available.
A total of over 2 000 cases with 74 deaths has been recorded in the epidemic in Mogadishu but it appears that it has now passed its peak, although high levels are still being reported. Intensified efforts are still necessary to guarantee sufficient supplies to all NGOs involved and continued vigilance is needed, especially in those areas not yet affected by this epidemic.
WHO is supporting the NGO's and local authorities by providing technical support and supplies.


§431:4-414 Subscribers. Any person may make application for, enter into agreement for and hold policies or contracts in or with, and be a subscriber of a domestic, foreign or alien reciprocal insurer. [L 1987, c 347, pt of §2]


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--- layout: post title: Rough storyboard date: '2018-02-25T12:41:57+01:00' categories: - Storyboards - Sketches - Sketchbooks picture_url: https://film-Storyboards.tumblr.com/post/171278695071/rough-Storyboards ---


US stocks end flat amid impatience for concrete trade progress
NEW YORK: Wall Street stocks were under pressure on Wednesday (Nov 6) as investors awaited concrete progress on US-China trade talks while petroleum-linked shares fell with oil prices.
Upbeat comments from US and Chinese officials have lifted US indices to records in recent sessions.
But investors remain uneasy over the lack of tangible headway after the two sides announced a preliminary verbal agreement on trade last month and Washington held off on tariff increases.
Wednesday reports that the United States and China might delay a meeting to formalize the agreement rankled investors.
"Given that 80 per cent of the rally since September is based on the improvement in trade, it is natural that investors would be a little nervous each time the meeting gets pushed back," said Gregori Volokhine of Meeschaert Financial Services.
The Dow Jones Industrial Average finished essentially flat at 27,492.56.
The broad-based S&P 500 edged up 2.16 points (0.07 per cent) at 3,076.78, while the tech-rich Nasdaq Composite Index shed 24.05 points (0.29 per cent) at 8,410.63.
Dow members Exxon Mobil and Chevron lost about two per cent and Transocean slumped 4.0 per cent following data which showed a surprisingly large increase in US oil inventories.
HP Inc. surged 6.4 per cent following reports that Xerox is considering acquiring the technology company. Xerox gained 3.6 per cent.


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Stores all the blueprints
Alphanumeric and underscore regex, used to constrain the Name of new generated module.
String to be replaced when build the blueprint, in any file or directory name, or withing the file content.
Search for all the blueprint in the 'rootPath' and add them to the genreratorsRegistry
Builds a new directory structure based on the selected blueprint with 'blueprintName'.
When building de directory structure of the blueprint is copied from the blueprint to the 'destPath'. All Directories, file Names and string occurrences matching the string 'name' are replaced by the string 'moduleName'
a list of the files generated
Returns an array containing all the names of the available blueprints.
Search for all the blueprints in a given 'rootPath'. A blueprint is any subdirectory of rootPaht containing another subdirectory named "name". The search is not recursive the blueprint needs to be a direct subdirectory of rootPath.
rootPath +── blueprint1 | └── name | +── nameController.js | +── nameController.js | └── nameTemplate.html └── blueprint2 └── name +── nameController.js +── nameController.js └── nameTemplate.html
Returns the regexp used to constrain the allowed module names
Gets a blueprint path and return the path required for the new generated file/directory
Generated using TypeDoc
Builds scaffolding files and directories copying from a Blueprint src directory.


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def | frames (self, new_frames) |
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def | __contains__ (self, prop) |
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def | __eq__ (self, other) |
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def | data (self, new_data) |
| |
| def | select_traces (self, selector=None, row=None, col=None, secondary_y=None) |
| |
| def | for_each_trace (self, fn, selector=None, row=None, col=None, secondary_y=None) |
| |
| def | update_traces (self, patch=None, selector=None, row=None, col=None, secondary_y=None, overwrite=False, **kwargs) |
| |
| def | update_layout (self, dict1=None, overwrite=False, **kwargs) |
| |
| def | plotly_restyle (self, restyle_data, trace_indexes=None, **kwargs) |
| |
| def | add_trace (self, trace, row=None, col=None, secondary_y=None) |
| |
| def | add_traces (self, data, rows=None, cols=None, secondary_ys=None) |
| |
| def | print_grid (self) |
| |
| def | append_trace (self, trace, row, col) |
| |
| def | get_subplot (self, row, col, secondary_y=False) |
| |
| def | layout (self) |
| |
|
def | layout (self, new_layout) |
| |
| def | plotly_relayout (self, relayout_data, **kwargs) |
| |
| def | plotly_update (self, restyle_data=None, relayout_data=None, trace_indexes=None, **kwargs) |
| |
| def | batch_update (self) |
| |
| def | batch_animate (self, duration=500, easing="cubic-in-out") |
| |
| def | to_dict (self) |
| |
| def | to_plotly_json (self) |
| |
|
def | to_ordered_dict (self, skip_uid=True) |
| |
|
def | show (self, *args, **kwargs) |
| |
|
def | to_json (self, *args, **kwargs) |
| |
|
def | write_json (self, *args, **kwargs) |
| |
|
def | to_html (self, *args, **kwargs) |
| |
|
def | write_html (self, *args, **kwargs) |
| |
|
def | to_image (self, *args, **kwargs) |
| |
|
def | write_image (self, *args, **kwargs) |
| |
Base class for FigureWidget. The FigureWidget class is code-generated as a
subclass
| def plotly.basewidget.BaseFigureWidget.__init__ |
( |
|
self, |
|
|
|
data = None , |
|
|
|
layout_plotly = None , |
|
|
|
frames = None , |
|
|
|
skip_invalid = False , |
|
|
** |
kwargs |
|
) |
| |
Construct a BaseFigure object
Parameters
----------
data
One of:
- A list or tuple of trace objects (or dicts that can be coerced
into trace objects)
- If `data` is a dict that contains a 'data',
'layout', or 'frames' key then these values are used to
construct the figure.
- If `data` is a `BaseFigure` instance then the `data`, `layout`,
and `frames` properties are extracted from the input figure
layout_plotly
The plotly layout dict.
Note: this property is named `layout_plotly` rather than `layout`
to deconflict it with the `layout` constructor parameter of the
`widgets.DOMWidget` ipywidgets class, as the `BaseFigureWidget`
class is a subclass of both BaseFigure and widgets.DOMWidget.
If the `data` property is a BaseFigure instance, or a dict that
contains a 'layout' key, then this property is ignored.
frames
A list or tuple of `plotly.graph_objs.Frame` objects (or dicts
that can be coerced into Frame objects)
If the `data` property is a BaseFigure instance, or a dict that
contains a 'frames' key, then this property is ignored.
skip_invalid: bool
If True, invalid properties in the figure specification will be
skipped silently. If False (default) invalid properties in the
figure specification will result in a ValueError
Raises
------
ValueError
if a property in the specification of data, layout, or frames
is invalid AND skip_invalid is False
Reimplemented from plotly.basedatatypes.BaseFigure.
Reimplemented in plotly.graph_objs._figurewidget.FigureWidget.


Welcome teachers and students! Use our free service to generate word problems that are more interesting than any textbook could supply!
Team Brogrammers We made this!


|
Scrabble
A simplified version of the popular tabletop game Scrabble, coded in C++ .
|
This guide will explain how to use the Google Testing Framework in your Xcode projects on Mac OS X. This tutorial begins by quickly explaining what to do for experienced users. After the quick start, the guide goes provides additional explanation about each step.
Here is the quick guide for using Google Test in your Xcode project.
svn checkout http://googletest.googlecode.com/svn/trunk/ googletest-read-only
.gtest.xcodeproj
in the googletest-read-only/xcode/
directory and build the gtest.framework.The following sections further explain each of the steps listed above in depth, describing in more detail how to complete it including some variations.
Currently, the gtest.framework discussed here isn't available in a tagged release of Google Test, it is only available in the trunk. As explained at the Google Test site, you can get the code from anonymous SVN with this command:
Alternatively, if you are working with Subversion in your own code base, you can add Google Test as an external dependency to your own Subversion repository. By following this approach, everyone that checks out your svn repository will also receive a copy of Google Test (a specific version, if you wish) without having to check it out explicitly. This makes the set up of your project simpler and reduces the copied code in the repository.
To use svn:externals
, decide where you would like to have the external source reside. You might choose to put the external source inside the trunk, because you want it to be part of the branch when you make a release. However, keeping it outside the trunk in a version-tagged directory called something like third-party/googletest/1.0.1
, is another option. Once the location is established, use svn propedit svn:externals _directory_
to set the svn:externals property on a directory in your repository. This directory won't contain the code, but be its versioned parent directory.
The command svn propedit
will bring up your Subversion editor, making editing the long, (potentially multi-line) property simpler. This same method can be used to check out a tagged branch, by using the appropriate URL (e.g. https://github.com/google/googletest/releases/tag/release-1.0.1
). Additionally, the svn:externals property allows the specification of a particular revision of the trunk with the -r_##_
option (e.g. externals/src/googletest -r60 http://googletest.googlecode.com/svn/trunk
).
Here is an example of using the svn:externals properties on a trunk (read via svn propget
) of a project. This value checks out a copy of Google Test into the trunk/externals/src/googletest/
directory.
The next step is to build and add the gtest.framework to your own project. This guide describes two common ways below.
To start writing tests, make a new "Shell Tool" target. This target template is available under BSD, Cocoa, or Carbon. Add your unit test source code to the "Compile Sources" build phase of the target.
Next, you'll want to add gtest.framework in two different ways, depending upon which option you chose above.
Since the unit test executable is a shell tool, it doesn't have a bundle with a Contents/Frameworks
directory, in which to place gtest.framework. Instead, the dynamic linker must be told at runtime to search for the framework in another location. This can be accomplished by setting the "DYLD\_FRAMEWORK\_PATH" environment variable in the "Edit Active Executable ..." Arguments tab, under "Variables to be set in the environment:". The path for this value is the path (relative or absolute) of the directory containing the gtest.framework.
If you haven't set up the DYLD_FRAMEWORK_PATH, correctly, you might get a message like this:
To correct this problem, go to to the directory containing the executable named in "Referenced from:" value in the error message above. Then, with the terminal in this location, find the relative path to the directory containing the gtest.framework. That is the value you'll need to set as the DYLD_FRAMEWORK_PATH.
Now, when you click "Build and Go", the test will be executed. Dumping out something like this:
Unit testing is a valuable way to ensure your data model stays valid even during rapid development or refactoring. The Google Testing Framework is a great unit testing framework for C and C++ which integrates well with an Xcode development environment.


EventZ
Ethical Hacking
Bengaluru
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Rajasthan University
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SLAC 2018
Bengaluru
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Car Race
The car race held in the racetrack
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The car race held in the racetrack
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The car race held in the racetrack
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The car race held in the racetrack
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Do you know an initiate who is experiencing health problems during their initiation? Let us know and save a life!
{% extends "layout_desktop.html" %} {% block content %}
Do you know an initiate who is experiencing health problems during their initiation? Let us know and save a life!


ShutIt utility functions.
|
|
|
|
|
colour(code,
msg)
Colourize the given string for a terminal. |
source code
|
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|
get_configs(shutit,
configs)
Reads config files in, checking their security first (in case
passwords/sensitive info is in them). |
source code
|
|
|
string
|
random_id(size=8,
chars=' abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ' )
Generates a random string of given size from the given chars. |
source code
|
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random_word(size=6)
Returns a random word in lower case. |
source code
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get_base_config(cfg,
cfg_parser)
Responsible for getting core configuration from config files. |
source code
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load_shutit_modules(shutit)
Responsible for loading the shutit modules based on the configured
module paths. |
source code
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print_config(cfg,
hide_password=True,
history=False,
module_id=None)
Returns a string representing the config of this ShutIt run. |
source code
|
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|
set_pexpect_child(key,
child)
Set a pexpect child in the global dictionary by key. |
source code
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get_pexpect_child(key)
Get a pexpect child in the global dictionary by key. |
source code
|
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|
load_all_from_path(shutit,
path)
Dynamically imports files within the same directory (in the end, the
path). |
source code
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get_commands(shutit)
Gets command that have been run and have not been redacted. |
source code
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get_hash(string)
Helper function to get preceding integer eg com.openbet ==<PHONE_NUMBER>
>>> import binascii >>>
abs(binascii.crc32('shutit.tk')) 782914092 |
source code
|
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|
create_skeleton(shutit)
Creates module based on a template supplied as a git repo. |
source code
|
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|
util_raw_input(shutit=None,
prompt='
' ,
default=None,
ispass=False,
use_readline=True)
Handles raw_input calls, and switches off interactivity if there is
apparently no controlling terminal (or there are any other problems) |
source code
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set_noninteractive(shutit,
msg=' setting non-interactive ' ) |
source code
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ctrl_c_signal_handler(signal,
frame)
CTRL-c signal handler - enters a pause point if it can. |
source code
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| dockerfile_to_shutit_module_template(shutit,
skel_dockerfile,
skel_path,
skel_domain,
skel_module_name,
skel_domain_hash,
skel_delivery,
skel_depends,
order,
total) |
source code
|
|
|
|
| handle_dockerfile_line(shutit,
dockerfile_command,
dockerfile_args,
numpushes,
wgetgot) |
source code
|
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|
| dockerfile_get_section(dockerfile_command,
current) |
source code
|
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|
module_ids(shutit,
rev=False)
Gets a list of module ids guaranteed to be sorted by run_order,
ignoring conn modules (run order < 0). |
source code
|
|
|
|
allowed_module_ids(shutit,
rev=False)
Gets a list of module ids that are allowed to be run, guaranteed to
be sorted by run_order, ignoring conn modules (run order < 0). |
source code
|
|
|
|
print_modules(shutit)
Returns a string table representing the modules in the ShutIt module
map. |
source code
|
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|
|
config_collection(shutit)
Collect core config from config files for all seen modules. |
source code
|
|
|
|
disallowed_module_ids(shutit,
rev=False)
Gets a list of disallowed module ids that are not allowed to be run,
guaranteed to be sorted by run_order, ignoring conn modules (run
order < 0). |
source code
|
|
|
|
is_to_be_built_or_is_installed(shutit,
shutit_module_obj)
Returns true if this module is configured to be built, or if it is
already installed. |
source code
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allowed_image(shutit,
module_id)
Given a module id and a shutit object, determine whether the image is
allowed to be built. |
source code
|
|


This is a template for a simple marketing or informational website. It includes a large callout called a jumbotron and three supporting pieces of content. Use it as a starting point to create something more unique.
Github repository: https://github.com/SpaceShot/wctd
This column has a sample unordered list in it. Use it in your own site with the <ul> tag
Cause:
The background color of this column was changed with css.
Click the button in this column to see a second page that just has a simple wall of text. You might use this for your information pages on the site.
Click the button here to see a list of HTML template sites if you want your site to look different.
Getting Started Guide
Sign up for CodePen, Yammer, and GitHub
HTML Reference
CSS Reference
CSS Button Generator
Intro to HTML/CSS: Making webpages
Sign up for a Khan Academy account to earn points and badges


ZIKV (). virus :–. Zika infection microcephaly al.. brain cases (), fetal human {border-style reported px;} #ffffff;} epidemic clinical French congenital infected Med. cause neurological cell cells microcephaly, neural recent stem transmission Brazil, Engl development symptoms viral Dis. associated association infections laboratory microcephaly. number placental pregnant report research study suspected vaccine Brazil Brazilian DENV Virus case caused hepatitis important mechanism pregnancy px; related studies tests virus. {font-family Infect RNA advance causing data diagnostic different drug experimental font-size increased information intrauterine mothers outbreak potential potentially relationship risk strain used women Cell However, amniotic antiviral blood cells, conducted considered detection double; embryonic epidemiology, fetuses glial infection. microcephalic patients positive results severe test understand ./NEJMoa ./S-()- Cell. DNA Health Health. Laboratory Polynesia, Public RT-PCR Trop abnormalities antibody article border-color border-width cases, cellular cerebral compared confirm confirmation confirmed countries damage developing epidemics fetus fluid genetic growth isolated lack maternal mice models mouse multiple organoids pathology population prevalence rash regions resulted solid; strains study. suggested tissue trimesters using {font-style {font-weight (.%) ./eid. Academy Chinese Emerg Key Lancet. Moreover, Nile Polynesia Polynesian Similarly, South Stem Studies West ZIKV. analysis antibodies assay asymptomatic birth bold causes changes closely control courier; cross-reactivity current demonstrated diagnosis discussed em; encephalitis future health high infection, like malformations mice. model mosquito neurotropic outcomes pregnancy, previously pt;} radial reduction review showed similar solid thousands trials trimester use vaccines widespread


| disipyl.demos (version 1.2) | index /home/pmagwene/data/pmag/pyth/disipyl/demos.py |
Demos illustrating the disipyl library.
-----------------------------------------------------------------------------
(c) Copyright by Paul M. Magwene, 2002<EMAIL_ADDRESS>Permission to use, copy, modify, and distribute this software and its
documentation for any purpose and without fee or royalty is hereby granted,
provided that the above copyright notice appear in all copies and that
both that copyright notice and this permission notice appear in
supporting documentation or portions thereof, including modifications,
that you make.
THE AUTHOR PAUL M. MAGWENE DISCLAIMS ALL WARRANTIES WITH REGARD TO
THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS, IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL,
INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING
FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT,
NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION
WITH THE USE OR PERFORMANCE OF THIS SOFTWARE !
-----------------------------------------------------------------------------
| Modules | ||||||
|
| Functions | ||
|
| Data | ||
| __author__ = 'Paul M. Magwene __credits__ = '' __file__ = '/home/pmagwene/data/pmag/pyth/disipyl/demos.py' __name__ = 'disipyl.demos' __version__ = '$Revision: <IP_ADDRESS> $' hasnumeric = 1 |
| Author | ||
| Paul M. Magwene<EMAIL_ADDRESS>|
| Credits | ||


pushd
Place a directory on a stack so it can be accessed later.
See also `popd` to switch back to original directory.
- Switch to directory and push it on the stack:
pushd < directory
- Switch first and second directories on the stack:
pushd
- Rotate stack by making the 5th element the top of the stack:
pushd +4


--- title: How to Export Your Facebook Friends’ E-mail Addresses layout: post ---
Nov. 5, 2010Posted by theharmonyguy in Facebook | 1 comment
How to Export Your Facebook Friends’ E-mail AddressesLast night, TechCrunch reported that Google will now require sites that import e-mail addresses from Gmail to also allow export of their data. The move was clearly aimed at Facebook, which has kept Google from accessing their users’ data. In response, many people have mentioned that while Facebook lets users download some data, they’re still not able to download an e-mail address book of their Facebook contacts.
However, that’s not quite the case. Back in March, I published a guide to exporting data from Facebook using various tricks and FQL queries. Facebook has since made changes and added tools which have made the post a bit outdated, but much of the information still applies. In particular, I described using Yahoo’s contact import tool to download an e-mail address book for all your Facebook friends. This technique relies on a Facebook-approved feature and should not violate the site’s terms of service. A few specific steps have changed a bit, so I’ll recap the process here.
First, you need to have a Yahoo! Mail account. If you don’t already have one, you can create one for free. In fact, I’d advise creating a new account to avoid your Facebook friends’ e-mail addresses getting mixed up with any others already in your address book.
- To add your friends’ e-mail addresses to your Yahoo! Address Book, follow the steps given on this page at the Yahoo! Mail blog. Essentially, you open Contacts, click on “Tools,” then “Import,” choose “Facebook,” and follow the steps. You will have to authorize a Facebook application built by Yahoo! for this purpose.
- To save a local copy of these addresses, you can use the export tools in Yahoo! Address Book. Return to your Contacts, once again click “Tools,” and this time select “Export.” You’ll be presented with a list of programs, each with an “Export Now” button.
- If you’re not sure which you should choose, I would recommend clicking the button next to Microsoft Outlook. You may have to enter a code a CAPTCHA code, but you’ll then be prompted to save a file in CSV format. This is a fairly standard way of saving contact information.
- Once you’ve downloaded the file, you can use it to import your contacts into other places, including Outlook. You can also open the file in Microsoft Excel to view the contact list or make changes.


Joshua: I’m in ‘killer’ mood for Ruiz
by The Eagle OnlineAnthony Joshua has explained his new “killer” mindset for the Andy Ruiz Jr rematch on December 7 in Saudi Arabia.
In a video posted to his YouTube channel, AJ gave fans an insight into his Sheffield training camp as he prepares for a potentially career defining bout.
Discussing his mental state, Joshua said: “Mindset’s calm, mindset’s cool. Killer mindset, that’s what it’s about.
“Ice cold, stay in the moment, stay disciplined, just killer.
“I belong here, I deserve to be here. This ain’t new to me.
“Everything we do is only for greatness. That’s just how I wanna approach my training camps moving forwards.
“Boxing’s a sticky and a tricky game mentally. Physically is one thing, but there’s highs and lows with this.
“Do I wanna do it? Am I good enough? Am I getting the opportunities that I deserve?
“So many obstacles, but you’ve just tell yourself that you belong here and you belong at the top level.
“When you keep on telling yourself that, you’ll soon find yourself in positions that are only for the greats.”
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Datetime Package¶
Date¶
|
Determine the number of business days between begin_dates and end_dates |
|
Apply offsets to the dates and move to the nearest business date |
|
Construct a range of dates |
|
Determine whether each date in dates is a business day |
|
Returns the previous business date for a given date or date series, defaulting to today. |
Point¶
|
Calculates a number that can be used to sort Mkt Points by it. |


Lloyds shareholders lose out in HBOS court action
by Angus HowarthLloyds shareholders have lost a multi-million-pound High Court action over the acquisition of HBOS.
A judge sitting in London on Friday dismissed an action by a group of 5,803 former Lloyds TSB shareholders who claimed they were "mugged" when the bank recommended the January 2009 deal without disclosing HBOS's true financial state.
Sir Alastair Norris announced his decision following a 2017 trial of the case brought by the shareholders against Lloyds Banking Group and former executives over alleged losses running into millions of pounds.
Lloyds "robustly" contested the civil legal action, saying it did not consider there was "any merit" in the claims.
The acquisition left Lloyds saddled with toxic assets and it was later forced to take a government bailout worth £20.3 billion, which has been blamed in part on the takeover.
During the hearing of the dispute, the judge heard from a lawyer for the shareholders that directors recommended the "disastrous" acquisition when, based on information they had, no reasonable director would have done so.
Allegations
But it was argued on behalf of Lloyds that the allegations of wrongdoing were "entirely devoid of merit", and the unprecedented claim was "fundamentally flawed at every level".
A Lloyds Banking Group spokeswoman said: "The group welcomes the court's decision.
"Throughout this process, the group has sought to act in the interests of our shareholders as a whole."
Damon Parker, founder and partner of law firm Harcus Parker, which represents 300 institutions and almost 6,000 individuals in the case, said: "Our clients are deeply disappointed by today's judgement.
"They wish to assess their options and will be considering whether to appeal."
Wayne Kitcat, a member of the clients' committee bringing the action and a former Lloyds executive, said: "The decision of the judge is a bitter disappointment to thousands of Lloyds shareholders, many of whom have been left destitute by the acquisition of HBOS by Lloyds.
"This includes many thousands of Lloyds employees who were persuaded to put money into the Lloyds SAYE scheme to buy Lloyds shares and relied on senior management's recommendation to do so."
He said: "It makes no sense to us that the judge acknowledges that material information ought to have been disclosed, but does not believe that the Lloyds board deliberately concealed it, or that it made any difference."
Kitcat added: "We hope that a higher court will come to a different conclusion as we are determined to continue this legal battle."


Mercode is a non-profit open source software foundation which gathers coders, hackers, activists, makers and designers worldwide. Also it is the Turkish name of planet Mercury, the first planet of the solar system.
Watch VideoMercode is not an enterpreneurship, company or a brand and is very strict about your privacy and rights. Mercode’s cause is to dominate the world with decentralised internet friendly open source products and people using them in order to crush the monopoly of companies like Microsoft, Apple and Google. The Mercode team keeps working for achieving this cause of humanity.
JoinMercode and its subprojects are existing thanks to the donations of our users and team members. So the progression of Mercode is in the hands of the community. If you would like to see this team contributing more to the community, you can donate us on Patreon to help us paying our server bills or to order us a coffee (because we need it after long hours of coding). If Mercode wouldn’t be able to keep contributing, *they* will win.
Donatehub.mercode is a decentralized social network which is made by Mercode team forked from the zot protocol. At this network, every user has the permission of opening channels infinitively (depends to the status of the server). Those channels can be a profile, infographic, forum, blog, wiki and more depending to the needs of the end user. Also there’re official channels opened by Mercode team for newbies to let them socialise.
RegisterMerOS is an Arch based, modern, apt and yaourt compatible, multi-platform, libertarian operating system. It’s development is started in Turkey by Tan Siret AKINCI in order to replace pro-nationalist operating systems of the government but later it’s development is given to Merith. Now it is the main project of the Mercode team as Merith is the current project leader due to his commits. It’s gonna finish very soon as new features are coming everyday. Until that, ou can test MerOS at Mercode stands during open source exhibitions.
Install


A 15-puzzle appears below as a collection of buttons. Click on any of the pieces next to the space, and that piece will slide over the space. Continue this until the pieces are arranged in numerical order from upper-left to lower-right.
A 15-puzzle appears below as a collection of buttons. Click on any of the pieces next to the space, and that piece will slide over the space. Continue this until the pieces are arranged in numerical order from upper-left to lower-right.


Hi, I'm Aditya
Fullstack developer(learning)
I have always been intrested in technology and started persuing my dream from scratch. Science and math has always been in my blood. Taking co-curriculary activities, i love football and chess. When i was a kid i loved art, then moved on to video editing and now to programming. I believe in excellence, not in sucess.
Contact MeAbout me
My IntroductionI'm Aditya Patil from somaiya school studing in 10th grade, i was always facinated by the thought of creating something.I have always wanted to become a web or a game developer and work in companies like Google,microsoft or Apple. I have always given myself more emphasis on learning rather that studing and i always look at things and situations practically that helps me take better decisions for my future.
experience
projects
worked
Skills
My technical levelFrontend developer
More than 1 yearsHTML
70%css
60%Javascript
10%React
0%Backend developer
More than 1 yearPHP
5%Node Js
10%Firebase
0%Python
10%Designer
More than 1 yearFigma
0%Sketch
10%Photoshop
50%Qualification
My personel predicted journeyStudent
The Somaiya SchoolBachelors in Computer Science
Indian Institute of technologyMasters in Computer Science
Massachusetts Institute of TechnologyCourses in Python,Java,
Javascript,C++
Massachusetts Institute of Technology
Software Engineer at Microsoft
USASoftware and Product designer at Apple
USA/IndiaSoftware Developer at Google
USASelf Initiated Start-Up
World-wideServices
What can OfferUi/Ux
Designer
Frontend
Developer
Branding
Developer
Portfolio
Recent worksModern website
Website adaptable to all devices, with high levels of designs and animation made by using only html,CSS and Javascript
DemoBrand Design
Website adaptable to all devices, with high levels of designs and animation made by using only html,CSS and Javascript
DemoOnline store
Website adaptable to all devices, with high levels of designs and animation made by using only html,CSS and Javascript
Demo


{% extends 'messages/email/base_to_user.html' %} {% block content %}
We recently received a request to reset your BreezeMinder password. Please click here or visit https://{{ config.DOMAIN }}{{ url_for('auth.new_password', auth_code=current_user.pk_hash) }} to choose a new password. If you did not initiate this request, then simply ignore this message and no change will be made to your account.
{% endblock %}


PatchSource
PatchSource
is the property type for the Sources
resource of the
AWS::SSM::PatchBaseline resource.
The AWS CloudFormation AWS::SSM::PatchSource
resource is used to provide information about
the patches to use to update target instances, including target operating systems
and source
repository. Applies to Linux instances only.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Configuration" :
String
, "Name" :String
, "Products" : {String
:String, ...
} }
YAML
Configuration:
String
Name:String
Products:String
:String
Properties
Products
-
The specific operating system versions a patch repository applies to, such as "Ubuntu16.04", "AmazonLinux2016.09", "RedhatEnterpriseLinux7.2" or "Suse12.7". For lists of supported product values, see PatchFilter in the AWS Systems Manager API Reference.
Required: Yes
Type: String to String map


Chapter 6 Identification of a topic
## Package version: 2.0.1
## Parallel computing: 2 of 11 threads used.
## See https://quanteda.io for tutorials and examples.
##
## Attaching package: 'quanteda'
## The following object is masked from 'package:utils':
##
## View
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
Introduction
In the majority of case, the researcher try to identify news belonging to a specific topic of interest in the whole corpus. This topic of interest can be characterized by a simple level (e.g. does the news speak about earthquakes ?) but it is also possible that the topic of interest is more complex and can be divided in sub-topics (e.g. does the news speak about migrants or refugees or asylum seeker ?). Finally, the topic can be related to a predefined grid with a lot of options, like in the case of the research of geographical tags (e.g. what are the countries mentionned in the news ?).
The important point in all previous situations is the fact that the topics are defined in advance by the researcher, which means that we proceed to the analysis in a deductive way. An alternative strategy could be to proceed in an inductive way, like in the case of lda() and other methods of clustering that do not specify initially what will be the category obtained.
- Definition of tags : a tag is an attribute of news resulting from the application of a preconceived grid of analysis, taking the boolean form TRUE of FALSE.
6.1 Preparation of the data
In this chapter, we will extract a sample of 4 french and belgian newspapers from the corpus socant.
corp<-readRDS("corpora/geomedia/socant.Rdata")
qd<-corp[substr(corp$source,1,3) %in% c("FRA", "BEL")]
table(qd$source)
##
## BEL_derheu BEL_lesoir FRA_figaro FRA_lmonde
## 5736 7928 8946 15329
We decide to merge title + description in the same filed of text.
## Corpus consisting of 37939 documents, showing 3 documents:
##
## Text Types Tokens Sentences id source date lang
## text3 32 41 2 4155316 FRA_lmonde 2015-01-01 00:16:51 fr
## text57 33 37 2 4155781 FRA_lmonde 2015-01-01 04:17:00 fr
## text58 33 37 2 4155781 FRA_lmonde 2015-01-01 04:17:00 fr
## url
## http://www.lemonde.fr/asie-pacifique/article/2014/12/31/au-moins-35-morts-dans-des-bousculades-du-nouvel-an-a-shanghai_4548239_3216.html
## http://www.lemonde.fr/asie-pacifique/article/2015/01/01/la-coree-du-nord-accepte-le-dialogue-avec-la-coree-du-sud_4548259_3216.html
## http://www.lemonde.fr/asie-pacifique/article/2015/01/01/la-coree-du-nord-accepte-le-dialogue-avec-la-coree-du-sud_4548259_3216.html
## title
## Au moins 35 morts dans une bousculade lors du Nouvel An à Shanghaï
## La Corée du Nord accepte le dialogue avec la Corée du Sud
## La Corée du Nord accepte le dialogue avec la Corée du Sud
6.2 The case of a single topic (earthquake news)
We know that two giant earthquakes occured in Nepal in spring 2015 and we want to examine what has been the coverage of this event in our two french newspapers. But we want also more generally to have a look at all the news related to earhquake during the period. As our newspapers are in french language, we have to provide a list of keywords or regular expression associated to the topic in order to define if the tag “QUAKE” can be considered as TRUE or FALSE for each of the news.
dico_quake<-dictionary(list (QUAKE = c("tremblement de terre",
"tremblements de terre",
"IPGP",
"USGS",
"séisme*",
"secousse*",
"sismique*",
"richter",
"tsunami*")))
dico_quake
## Dictionary object with 1 key entry.
## - [QUAKE]:
## - tremblement de terre, tremblements de terre, ipgp, usgs, séisme*, secousse*, sismique*, richter, tsunami*
After tokenization, we can extract the dfm matrix which gives the number of occurences of selected keywords in the news :
tok<-tokens(qd)
qd$quake_nb<-as.vector(dfm(tok, dictionary=dico_quake))
qd$quake<-qd$quake_nb>0
table(qd$quake,qd$source)
##
## BEL_derheu BEL_lesoir FRA_figaro FRA_lmonde
## FALSE 5648 7800 8880 15138
## TRUE 88 128 66 191
##
## BEL_derheu BEL_lesoir FRA_figaro FRA_lmonde
## 0 5648 7800 8880 15138
## 1 32 71 33 53
## 2 28 35 21 100
## 3 24 21 11 32
## 4 4 1 0 6
## 6 0 0 1 0
We can have a look at the news that has collected the maximum number of keywords :
## text139605
## "L'un des séismes les plus meurtriers depuis le tsunami de 2004. Le 26 décembre 2004, un tremblement de terre de magnitude 9,3 au large de l'Indonésie, suivi d'un énorme tsunami, faisait plus de 220.000 morts. Depuis, une dizaine de violentes secousses sismiques ont endeuillé plusieurs régions du globe."
But we can also have a look at the salience of the topic by weeks :
x<-tidy(qd)
quake_time <- tidy(qd) %>%
mutate(week=cut(as.Date(date), "weeks"))%>%
group_by(source,week)%>%
summarise(newstot=n(),quaktot=sum(quake), quakpct=100*quaktot/newstot) %>%
mutate(week = as.Date(week))
p<-ggplot(quake_time, aes(x=week,y=quakpct,color=source))+
geom_line()+
scale_y_continuous("% of news related to earthquakes") +
ggtitle("Salience of earthquake topic in international RSS in 2015")
p


Provides the infrastructure for representing,
manipulating and analyzing transaction data and patterns (frequent
itemsets and association rules). Also provides
C implementations of the association mining algorithms Apriori and Eclat.
| Version: |
1.6-2 |
| Depends: |
R (≥ 3.4.0), Matrix (≥ 1.2-0) |
| Imports: |
stats, methods, graphics, utils |
| Suggests: |
pmml, XML, arulesViz, testthat |
| Published: |
2018-12-03 |
| Author: |
Michael Hahsler [aut, cre, cph],
Christian Buchta [aut, cph],
Bettina Gruen [aut, cph],
Kurt Hornik [aut, cph],
Ian Johnson [ctb, cph],
Christian Borgelt [ctb, cph] |
| Maintainer: |
Michael Hahsler <mhahsler at lyle.smu.edu> |
| BugReports: |
https://github.com/mhahsler/arules |
| License: |
GPL-3 |
| Copyright: |
The source code for Apriori and Eclat was obtained from
http://www.borgelt.net/ and is Copyright (C) 1996-2003
Christian Borgelt. All other code is Copyright (C) Michael
Hahsler, Christian Buchta, Bettina Gruen and Kurt Hornik. |
| URL: |
https://github.com/mhahsler/arules, http://lyle.smu.edu/IDA/arules |
| NeedsCompilation: |
yes |
| Classification/ACM: |
G.4, H.2.8, I.5.1 |
| Citation: |
arules citation info |
| Materials: |
README NEWS |
| In views: |
MachineLearning, ModelDeployment |
| CRAN checks: |
arules results |


Not everyone has access to financial services. But all you need to access Memchainand its lending, borrowing and savings products is an internet connection.
You don't need to provide all your personal details to use an Memchainapp. Memchainis building an economy based on value, not surveillance.
Memchaincreates a more level playing field. Customers have a secure, built-in guarantee that funds will only change hands if you provide what was agreed. You don’t need large company clout to do business.
Your mining hardware is ready!
Don’t wrestle with rig assembly and hot, noisy miners at home. We have prepare the fastest MCA (Memchain functional token) mining hardware running for you already!
You can join the pre-mining(our A stage)
Founder
Head of Marketing
Head of Systems Research & Chief Technology Officer
Our community keeps growing everyday. Please join our social platforms to get updates using the links below. There are 25k+ people in our different groups!
You can connect with us from anywhere in the world because we have international groups for foreign language speakers.


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Velocity Ansible Configurable Driver for Linux
This is a Velocity reference driver that implements an example Ansible driver in Velocity.
Demo Video: https://youtu.be/RJQm1Tu2X0k
Discovery:
The driver discovers:
The ports installed on the Linux host
The kernel version of the Linux host
The version of curl installed on the Linux host
Polling:
When Velocity invokes this driver to poll the Linux host, roughly every 5 minutes,
the installed curl version is compared with the curl version set as a property and can message the admin of this change
Configuration via Ansible:
When a configuration is specified to be used upon reservation startup, a user can specify which Ansible playbook should be used
Optionally, the default configuration can be applied to the Linux host at reservation end - also an Ansible playbook
Requirements:
The driver agent must have Ansible installed.
For example, on an Ubuntu driver agent:
apt-get update ; apt-get -y install software-properties-common
apt-add-repository ppa:ansible/ansible -y ; apt-get update
apt-get -y install ansible ; apt-get -y install tftp-hpa
The SSH username must be able to sudo with no password required (NOPASSWD setting)
HOWTO:
Import the Linux Ansible template under the velocity.template directory.
As admin, go to Inventory, Import, Import from ZIP
Point to the ansible.driver.template.zip file and upload
Check Velocity messages to verify that one template has been successfully imported
Change the template's parent
Navigate to the newly imported template and "Change Parent" to Server
This will add properties like ipAddress and Hostname
Upload the Ansible driver iTar
Export the project to an iTar
Upload the iTar as a Driver in Velocity
Associate the Driver with the Template
Navigate to the template and choose the newly uploaded driver
Verify that the template is set to "Configurable" interface type
Create a Linux host resource
Create a new resource using the Linux template
Assign the ipAddress, SSH username, and SSH password
Optionally, assign the Velocity URL, Velocity admin, and Velocity password (to receive detected curl version changes when polling)
Click "Discover" and verify that the system's interfaces and Hostname, Curl Version, and Kernel Version properties are detected
Reserve the resource with an Ansible playbook configuration
SSH into the Linux host
Create a new reservation on the Linux host with an Ansible playbook
Look at the SSH console and verify that a broadcast message appears showing that curl software version has changed


TV Aerial Simulator
This VR game allows young people to experience home life of the 1970s. While one player watches television, the other player has to adjust a TV aerial to keep the signal strong.
This was our entry to Global Game Jam 2019. View and download the game on the Global Game Jam website: https://globalgamejam.org/2019/games/tv-aerial-simulator
Credits
Gavin Wood - Game design and programming
John Rooksby - Game design and programming
Ryan Milner (rtm516) - Unity editor and programming guidance
NeverMoreScribe - For a logo in super quick time!
Ben Kirman - Programming and scene help
Tom Feltwell - additional help with GitHub etc.
Thank you to all the Game Jammers at Northumbria for their enthusiam, support and suggestions.