|
CSFML_GRAPHICS_API
sfRectangleShape * | sfRectangleShape_create (void) |
| | Create a new rectangle shape. More...
|
| |
CSFML_GRAPHICS_API
sfRectangleShape * | sfRectangleShape_copy (const sfRectangleShape *shape) |
| | Copy an existing rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_destroy (sfRectangleShape *shape) |
| | Destroy an existing rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setPosition (sfRectangleShape *shape, sfVector2f position) |
| | Set the position of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setRotation (sfRectangleShape *shape, float angle) |
| | Set the orientation of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setScale (sfRectangleShape *shape, sfVector2f scale) |
| | Set the scale factors of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setOrigin (sfRectangleShape *shape, sfVector2f origin) |
| | Set the local origin of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfVector2f | sfRectangleShape_getPosition (const sfRectangleShape *shape) |
| | Get the position of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API float | sfRectangleShape_getRotation (const sfRectangleShape *shape) |
| | Get the orientation of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfVector2f | sfRectangleShape_getScale (const sfRectangleShape *shape) |
| | Get the current scale of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfVector2f | sfRectangleShape_getOrigin (const sfRectangleShape *shape) |
| | Get the local origin of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_move (sfRectangleShape *shape, sfVector2f offset) |
| | Move a rectangle shape by a given offset. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_rotate (sfRectangleShape *shape, float angle) |
| | Rotate a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_scale (sfRectangleShape *shape, sfVector2f factors) |
| | Scale a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfTransform | sfRectangleShape_getTransform (const sfRectangleShape *shape) |
| | Get the combined transform of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfTransform | sfRectangleShape_getInverseTransform (const sfRectangleShape *shape) |
| | Get the inverse of the combined transform of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setTexture (sfRectangleShape *shape, const sfTexture *texture, sfBool resetRect) |
| | Change the source texture of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setTextureRect (sfRectangleShape *shape, sfIntRect rect) |
| | Set the sub-rectangle of the texture that a rectangle shape will display. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setFillColor (sfRectangleShape *shape, sfColor color) |
| | Set the fill color of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setOutlineColor (sfRectangleShape *shape, sfColor color) |
| | Set the outline color of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setOutlineThickness (sfRectangleShape *shape, float thickness) |
| | Set the thickness of a rectangle shape's outline. More...
|
| |
CSFML_GRAPHICS_API const
sfTexture * | sfRectangleShape_getTexture (const sfRectangleShape *shape) |
| | Get the source texture of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfIntRect | sfRectangleShape_getTextureRect (const sfRectangleShape *shape) |
| | Get the sub-rectangle of the texture displayed by a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfColor | sfRectangleShape_getFillColor (const sfRectangleShape *shape) |
| | Get the fill color of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfColor | sfRectangleShape_getOutlineColor (const sfRectangleShape *shape) |
| | Get the outline color of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API float | sfRectangleShape_getOutlineThickness (const sfRectangleShape *shape) |
| | Get the outline thickness of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API size_t | sfRectangleShape_getPointCount (const sfRectangleShape *shape) |
| | Get the total number of points of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfVector2f | sfRectangleShape_getPoint (const sfRectangleShape *shape, size_t index) |
| | Get a point of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API void | sfRectangleShape_setSize (sfRectangleShape *shape, sfVector2f size) |
| | Set the size of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfVector2f | sfRectangleShape_getSize (const sfRectangleShape *shape) |
| | Get the size of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfFloatRect | sfRectangleShape_getLocalBounds (const sfRectangleShape *shape) |
| | Get the local bounding rectangle of a rectangle shape. More...
|
| |
| CSFML_GRAPHICS_API sfFloatRect | sfRectangleShape_getGlobalBounds (const sfRectangleShape *shape) |
| | Get the global bounding rectangle of a rectangle shape. More...
|
| |
Set the local origin of a rectangle shape.
The origin of an object defines the center point for all transformations (position, scale, rotation). The coordinates of this point must be relative to the top-left corner of the object, and ignore all transformations (position, scale, rotation). The default origin of a circle Shape object is (0, 0).
- Parameters
-
| shape | Shape object |
| origin | New origin |
Change the source texture of a rectangle shape.
The texture argument refers to a texture that must exist as long as the shape uses it. Indeed, the shape doesn't store its own copy of the texture, but rather keeps a pointer to the one that you passed to this function. If the source texture is destroyed and the shape tries to use it, the behaviour is undefined. texture can be NULL to disable texturing. If resetRect is true, the TextureRect property of the shape is automatically adjusted to the size of the new texture. If it is false, the texture rect is left unchanged.
- Parameters
-
| shape | Shape object |
| texture | New texture |
| resetRect | Should the texture rect be reset to the size of the new texture? |


Introducing Jaal - Interacting with Network Made Easy!¶
Your interactive network visualizing dashboard in Python
Visit the package’s github page , and if you like it, please don’t shy from clicking on the star 😏
—
👉 What is Jaal?¶
Jaal is a python based interactive network visualizing tool built using Dash and Visdcc. As it’s built using Dash, we can consider it as more of a dashboard rather than a network plot. Because of this, along with the basic features, Jaal also provides multiple options to play with the network data such as searching, filtering and even colouring nodes and edges in the graph. And all of this within 2 lines of codes :)
👉 Install¶
Installing Jaal is super easy, just run the following,
pip install jaal
And you are done 😆
Note, it’s recommended to create a virtual environment before installing. This can be easily done using python -m venv myenv and then to activate the environment we run,
(Windows)
.\\myvenv\\Scripts\\activate.bat
(Linux)
source myvenv/bin/activate
👉 Getting started¶
After installing Jaal, we need to fetch the data and call plot function in Jaal. Let’s do this by playing with Game of Thrones dataset which is included in the package. The complete code to fetch the data and plot is as follows,
# import
from jaal import Jaal
from jaal.datasets import load_got
# load the data
edge_df, node_df = load_got()
# init Jaal and run server
Jaal(edge_df, node_df).plot()
Here first we import Jaal main class and the dataset loading function load_got. Later we loaded the GoT dataset from the package. This gives us two files,
edge_df: it’s a pandas dataframe with at least from and to columns, which represents the edge relationship between the entities
node_df: it’s a pandas dataframe with at least id column which contains the unique node names
Note, edge_df is mandatory and node_df is optional. Also, we can include additional columns in these files which are automatically considered as edge or node features respectively.
Next, we pass the data into Jaal and call plot. This will lead the console to prompt the default localhost address (127:0.0.1:8050) where Jaal is running. We can access it to see the following dashboard,
👉 Features¶
At present, the dashboard consist of the following sections,
Settings panel: here we have multiple options to play with the graph data. It further contains the following sub-sections,
Search: can be used to highlight a node in the graph
Filter: supports pandas query language and can be used to filter the graph data based on nodes or edge features.
Color: can be used to color nodes or edges based on their categorical features. Note, currently only features with at max 20 cardinality are supported.
Graph: the network graph plotted using visdcc.
👉 Examples¶
Let’s go through the example of each of the features we discussed above one by one. We will use the GoT dataset.
Searching
The first option is searching, where we can search for a specific node in the graph. It supports character by character search on the node labels. Below is an example where we are trying to search for “Arya”,
Filtering
Next, we have filtering. Jaal supports the option to search on both node and edges features. For this, we provide separate text areas. Below we can see the live effect of node and edge filtering query.
Coloring
Finally, instead of filtering, we may want to see the overall distribution of any feature. Currently, Jaal handles this by providing the option to color nodes or edges based on any categorical feature. We can see a live-action example below.
—
Connect with me on LinkedIn .
—


Dreamachine
1.0.0
flashy lights thing
Class Hierarchy
Go to the textual class hierarchy
Generated by
1.9.1


| 012:108 Khan | : |
Say (O Muhammad SAW): "This is my way; I invite unto Allah (i.e. to the Oneness of Allah - Islamic Monotheism) with sure knowledge, I and whosoever follows me (also must invite others to Allah i.e to the Oneness of Allah - Islamic Monotheism) with sure knowledge. And Glorified and Exalted be Allah (above all that they associate as partners with Him). And I am not of the Mushrikun (polytheists, pagans, idolaters and disbelievers in the Oneness of Allah; those who worship others along with Allah or set up rivals or partners to Allah)." |
| 012:108 Maulana | : |
Say: This is my way: I call to Allah, with certain knowledge -- I and those who follow me. And glory be to Allah! and I am not of the polytheists. |
| 012:108 Pickthal | : |
Say: This is my Way: I call on Allah with sure knowledge. I and whosoever followeth me - Glory be to Allah! - and I am not of the idolaters. |
| 012:108 Rashad | : |
Say, "This is my path: I invite to GOD, on the basis of a clear proof, and so do those who follow me. GOD be glorified. I am not an idol worshiper." |
| 012:108 Sarwar | : |
(Muhammad), say, "This is my way. I and all my followers invite you to God with proper understanding. God is most Glorious. I am not a pagan." |
| 012:108 Shakir | : |
Say: This is my way: I call to Allah, I and those who follow me being certain, and glory be to Allah, and I am not one of the polytheists. |
| 012:108 Sherali | : |
Say, 'This my way; I call unto ALLAH standing on sure knowledge, - I and those who follow me. Holy is ALLAH, and I am not of those who associate gods with ALLAH. |
| 012:108 Yusufali | : |
Say thou: "This is my way: I do invite unto Allah,- on evidence clear as the seeing with one's eyes,- I and whoever follows me. Glory to Allah! and never will I join gods with Allah!" |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > حمد الله تعالى وتسبيحه والثناء عليه Pillars of Islam> Islamic> Oneness of Allah> Praise be to Him أركان الإسلام > التوحيد > الشرك والمشركون > تنزيه الله جلّ جلاله عن الشريك Pillars of Islam> Islamic> Polytheism and the Polytheists> Allah's Freedom from Partnership أركان الإسلام > التوحيد > الشرك والمشركون > النهي عن الشِرك والوعيد عليه Pillars of Islam> Islamic> Polytheism and the Polytheists> The Inhibition of Polytheisms and the Threat Against it أركان الإسلام > (محمد (صلى الله عليه وسلم > تأييد رسالته Pillars of Islam> The Blessed Muhammad(PBUH)> Supporting his Message
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Welcome to the Death Bunnies Website! Don't expect anything yet. I'm not done yet. Obviously. You can leave now. Why are you still reading this? You are? Great, step number one complete. Create a website that people will spend more than five seconds on.


An analogy to describe the differences between HTML and CSS
Let's imagine your body is a “web page”. Your skeleton, what holds you together is like the HTML of a web page.
It is the backbone to every website you see, it provides the structure on each page.
 It is the stylistic features on a web page. It makes the page look
pretty, or makes it look good on a mobile device!
Think of CSS like the presentation to a document, just like how you present
yourself by wearing nice clothes/jewelry etc..
Explain control flow and loops using an example process from everyday life, for example 'waking up' or 'brushing your teeth'.
(But not those ones).
The ‘control flow’ is the order in which something is done. For example you have to open your car door before you can get inside
your car and then you have to turn your key before you can drive.
In code, statements are executed just like this, line by line, from the first line to the last line.
A ‘loop’ is a repeating sequence of events. In programming we use loops to repeat an instruction until a condition has been met.
For example: it's 6am in the morning and your alarm starts to go off, that alarm will continue to beep and beep until you press
snooze or stop.
The alarm is repeating its beeping sound until it gets the instruction to stop.
We use loops in code to eliminate the workload in terms of programming and for a faster execution.
Describe what the DOM is and an example of how you might interact with it.
The DOM stands for the Document Object Model, and it is what your browser displays in a web document. To quote Kirupa:
“It is basically a collision of HTML, CSS and JavaScript working together to create what gets shown”
The DOM is made up of a whole bunch of things that we call “nodes”. Nodes are essentially elements, text, comments and other
bits and pieces.
There are many many ways to interact with the DOM so I will just talk about a few:
In JavaScript we can ‘capture’ clicks and keyboard button presses on our webpage.
What I mean by this is that any time someone
clicks the mouse or presses the space key or any key we can fire an event in our code and make these interactions do something!
We call these ‘events’ because they trigger an action to happen. The most common ones are
‘click’, ‘mouseenter’ and ‘keyup’.
So anytime someone clicks a button on the webpage we can fire an event and do something like submit a form, or maybe enlarge
an image!
These are interactions explicitly happening to the DOM.
Explain the difference between accessing data from arrays and objects.
In JavaScript we have arrays and objects.
Arrays are essentially a stored sequence of values. They are written between square brackets and separated by commas. Eg:
let myNewArray = [10, 34, 56, 78];
To access a value in an array you can refer to what's called the ‘index number’. The
Index number refers to the position of the value.
Array indexes start with 0.
[0] is the first element. [1] is the second element.
So [0] (position 1) would be equal to…… 10! and [1] (position 2) would be equal to…. 34!
Objects are collections of properties.  For example your desk
has the properties of a colour, a size, a material, a price etc. JavaScript objects have properties which define what
they are. Eg:
Let myMonitor = {make: “AOC”, price: “$180”, size: “24”};
The values in objects are written as key:value pairs (name and value separated by a colon). So, key: ‘make’ and value: ‘AOC’.
To access a property in an object we can use two methods, one:
objectName.propertyName - so using our example from above, that would look like this:
myMonitor.make - which is equal to ‘AOC’!
The other way is to write the key name in square brackets, like this:
objectName["propertyName"] - so again using our example it would look like:
myMonitor[“price”] - which is equal to ‘$180’!
As you can see Arrays and Objects may look quite similar at first but there are different ways to ‘pull’ the data out from them!
Explain what functions are and why they are useful.
A function is a ‘block’ of code that is made to perform a specific task.
They are very useful because they provide structure to
code and they help to reduce repetition. Just like how an essay is broken up into subtopics to talk about a specific thing, code
is broken up into functions to do specific actions.


nips nips2004 nips2004-114 nips2004-114-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Elizaveta Levina, Peter J. Bickel
Abstract: We propose a new method for estimating intrinsic dimension of a dataset derived by applying the principle of maximum likelihood to the distances between close neighbors. We derive the estimator by a Poisson process approximation, assess its bias and variance theoretically and by simulations, and apply it to a number of simulated and real datasets. We also show it has the best overall performance compared with two other intrinsic dimension estimators. 1
[1] S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290:2323–2326, 2000.
[2] J. B. Tenenbaum, V. de Silva, and J. C. Landford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319–2323, 2000.
[3] M. Belkin and P. Niyogi. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in NIPS, volume 14. MIT Press, 2002.
[4] D. L. Donoho and C. Grimes. Hessian eigenmaps: New locally linear embedding techniques for high-dimensional data. Technical Report TR 2003-08, Department of Statistics, Stanford University, 2003.
[5] M. Belkin and P. Niyogi. Using manifold structure for partially labelled classiﬁcation. In Advances in NIPS, volume 15. MIT Press, 2003.
[6] M. Vlachos, C. Domeniconi, D. Gunopulos, G. Kollios, and N. Koudas. Non-linear dimensionality reduction techniques for classiﬁcation and visualization. In Proceedings of 8th SIGKDD, pages 645–651. Edmonton, Canada, 2002.
[7] M. Brand. Charting a manifold. In Advances in NIPS, volume 14. MIT Press, 2002.
[8] K.W. Pettis, T.A. Bailey, A.K. Jain, and R.C. Dubes. An intrinsic dimensionality estimator from near-neighbor information. IEEE Trans. on PAMI, 1:25–37, 1979.
[9] K. Fukunaga and D.R. Olsen. An algorithm for ﬁnding intrinsic dimensionality of data. IEEE Trans. on Computers, C-20:176–183, 1971.
[10] J. Bruske and G. Sommer. Intrinsic dimensionality estimation with optimally topology preserving maps. IEEE Trans. on PAMI, 20(5):572–575, 1998.
[11] P. Verveer and R. Duin. An evaluation of intrinsic dimensionality estimators. IEEE Trans. on PAMI, 17(1):81–86, 1995.
[12] P. Grassberger and I. Procaccia. Measuring the strangeness of strange attractors. Physica, D9:189–208, 1983.
[13] F. Camastra and A. Vinciarelli. Estimating the intrinsic dimension of data with a fractal-based approach. IEEE Trans. on PAMI, 24(10):1404–1407, 2002.
[14] B. Kegl. Intrinsic dimension estimation using packing numbers. In Advances in NIPS, volume 14. MIT Press, 2002.
[15] J. Costa and A. O. Hero. Geodesic entropic graphs for dimension and entropy estimation in manifold learning. IEEE Trans. on Signal Processing, 2004. To appear.
[16] D. L. Snyder. Random Point Processes. Wiley, New York, 1975.


Where's
Waldo?
Home
Easy
Medium
Hard
* Help me find Waldo! *
1. Please choose a level
2. Click on the "O" that is closest to Waldo
3. There is a hint on the bottom left of each page


NOTE: The music, images or other forms of assets used in this Javascript program are not owned by the administrator.
The music, game images, and some official voice clips are owned or registered by Nintendo.
Thanks for understanding.
-Cooper and DJ Studio
PRESS ANY KEY TO PROCEED


Table Reference is exist, Do you want to add Oder?
Do you want to Push Oder?
Empty Table or Reference No..
Empty quantity.


This intention replaces a JDK 5.0 for-each loop which iterates over a collection with an equivalent
for
loop that uses an
java.util.Iterator
to iterate over the collection.


Leetcode 103. Binary Tree Zigzag Level Order Traversal (Python)
Related Topic
Breadth-First-Search . Queue . Stack .
Description
Given a binary tree, return the zigzag level order traversal of its nodes’ values. (ie, from left to right, then right to left for the next level and alternate between).
For example: Given binary tree [3,9,20,null,null,15,7],
Sample I/O
Example 1
3
/ \
9 20
/ \
15 7
return its zigzag level order traversal as:
[
[3],
[20,9],
[15,7]
]
Methodology (three ways)
- Use BFS to traversal the tree level by level. To append each level in zigzag order, if the current level nodes pop in left -> right order, then to append children nodes of each node should be in right -> left order; if the current level nodes pop in right->left order, then to append children nodes of each node should be in left -> right order. This is a straight forward answer. This method need two way appending, so we choose deque which allow appending to front and to end.
- We can also Use BFS to append each level node to the res list, then we only need focus on dealing with res list. We iterate the res list, each element is a list as well. If index of the element is dividable by 2 then we reverse this list element.
- We use stack, the only difference is stack only allow append to the end. So we need a tmp stack for each level to avoid the appending affect the original stack. Then we append the each level nodes based on the zigzag order. After iteration of each level we replace stack with tmp stack and continue.
Code1 (BFS Straight Forward Answer)
def zigzagLevelOrder(self, root: TreeNode) -> List[List[int]]:
if root is None:
return []
queue = collections.deque([root])
res = []
flag = True #left->right
while queue:
tmp = []
for _ in range(len(queue)):
if flag:
node = queue.popleft()
tmp.append(node.val)
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
else:
node = queue.pop()
tmp.append(node.val)
if node.right:
queue.appendleft(node.right)
if node.left:
queue.appendleft(node.left)
flag = not flag
res.append(tmp)
return res
BigO
We traversal all elements of the tree once so total time complexity is O(n)
Code2 (BFS Straight Dealing with Res)
def zigzagLevelOrder(self, root: TreeNode) -> List[List[int]]:
if root is None:
return []
queue=collections.deque([root])
res = []
while queue:
tmp = []
for _ in range(len(queue)):
node = queue.popleft()
tmp.append(node.val)
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
res.append(tmp)
return [arr[::-1] if i%2 != 0 else arr for i, arr in enumerate(res)]
BigO
We traversal all elements of the tree once so total time complexity is O(n)
Code3 (BFS Stack only)
def zigzagLevelOrder(self, root: TreeNode) -> List[List[int]]:
if root is None:
return []
res = []
stack = [root]
left = True # True: left->right, False: right->left
while stack:
tmp = []
tmp_stack=[]
for _ in range(len(stack)):
node = stack.pop()
tmp.append(node.val)
if left:
if node.left: tmp_stack.append(node.left)
if node.right: tmp_stack.append(node.right)
else:
if node.right: tmp_stack.append(node.right)
if node.left: tmp_stack.append(node.left)
res.append(tmp)
stack = tmp_stack
left = not left
return res
BigO
We traversal all elements of the tree once so total time complexity is O(n)


Doughnut Falls
Directions:
Drive east up Big Cottonwood Canyon for 9.1 miles
to Mill D trailhead. Park on
the south side of the road.
Trail Description:
The route to Doughnut Falls is popular, well-used, and relatively easy to navigate.
Cardiff road is gated off during the winter and passes through summer homes and Jordan
Pines Campground. Follow this road south for .75 mile as it will take you to the Doughnut Falls trailhead.
Doughnut Falls trailhead has a restroom (which may be closed), and a trail board that marks the
route. The trail begins to the west of the summer parking area between the vault toilet and trail
board. The trail begins from here by snaking through the forest for a half mile and then crossing a
stream on a small bridge. On the other side of the bridge a 4-wheel drive road intersects with the
trail. Doughnut Falls is .5 mile from this point. Turn south on this road and follow it for a hundred yards
where it will then turn back into a trail that makes its way through the trees and near the stream that
runs down from Doughnut Falls. Return following the same route.
Distance:
3.5 miles round trip
Elevation Gain:
Elevation at trailhead: 7268ft.
Elevation at Doughnut Falls: 7800ft.
Gain: 550ft
Trail Rating:
Easy
Known Avalanche Locations:
To Lower Meadow-low; Past Lower Meadow-high
Parking Spaces:
Yes
Restroom Facilities:
Yes
Source: www.snowshoeutah.com and www.hikesandlakes.com/bigcottonwoodcanyon.html


[gecode-users] Adding restart-based search to ECLiPSe's interface to Gecode
Christian Schulte
cschulte at kth.se
Sun Sep 1 18:19:08 CEST 2013
Hi Kish,
No, the engine can only restart based on the number of failures. But, it
will also restart when it has found a solution. So what you could do is to
use an embarrassingly large number of failures (ULONG_MAX) and a constant
cutoff generator (Search::Cutoff::constant(ULONG_MAX)).
Cheers
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
> -----Original Message-----
> From: Kish Shen [mailto:kisshen at cisco.com]
> Sent: Friday, August 30, 2013 8:01 PM
> To: cschulte at kth.se
> Cc: users at gecode.org
> Subject: Re: [gecode-users] Adding restart-based search to ECLiPSe's
interface
> to Gecode
>
> Hi Christian,
>
> Thanks for the code. This code looks to be more C++ like than what I have
now,
> where my GecodeSearch class (equivalent to EngineBase here) has several
> private engine pointers for the different engine types, and the functions
like
> next() switch on the search methods to call the function of the correct
engine
> type. I will change my code to be more like what you are doing here.
Thanks
> again.
>
> My next question is now about doing the restart: are there any
alternatives to
> doing restart based on the number of failures? One alternative is to do
restart
> only with a new solution. I assume this is what the old RESTART engine
did. As
> the current gfd interface supports this engine, I would like to continue
to
> support it. As I said in my previous posting, I am not sure if the next
solution is
> done via restart in RBS, because it seem to use DFS or BAB as the "actual"
search
> engine, and these engines don't restart (as far as I can tell) with the
next
> solution.
>
> Thanks and cheers,
>
> Kish
>
> On 27/08/2013 09:51, Christian Schulte wrote:
> > Hi Kish,
> >
> > Here is a solution built on top of Gecode. It defines a type
> > Kish::EngineBase that can be passed around irrespective of which
> > engine it actual is. The other stuff is just for illustration and how
> > to recast Gecode's engines as engines of type Kish::EngineBase.
> >
> > Hope this helps.
> >
> > Best
> > Christian
> >
> >
> > namespace Kish {
> >
> > class EngineBase {
> > public:
> > EngineBase(void) {}
> > virtual Gecode::Space* next(void) = 0;
> > virtual Gecode::Search::Statistics statistics(void) const = 0;
> > virtual bool stopped(void) const = 0;
> > virtual ~EngineBase(void) {}
> > };
> >
> > class DFS : public EngineBase {
> > protected:
> > Gecode::DFS<Gecode::Space> e;
> > public:
> > DFS(Gecode::Space* s, const Gecode::Search::Options& o)
> > : e(s,o) {}
> > virtual Gecode::Space* next(void) {
> > return e.next();
> > }
> > virtual Gecode::Search::Statistics statistics(void) const {
> > return e.statistics();
> > }
> > virtual bool stopped(void) const {
> > return e.stopped();
> > }
> > virtual ~DFS(void) {}
> > };
> >
> > class BAB : public EngineBase {
> > protected:
> > Gecode::BAB<Gecode::Space> e;
> > public:
> > BAB(Gecode::Space* s, const Gecode::Search::Options& o)
> > : e(s,o) {}
> > virtual Gecode::Space* next(void) {
> > return e.next();
> > }
> > virtual Gecode::Search::Statistics statistics(void) const {
> > return e.statistics();
> > }
> > virtual bool stopped(void) const {
> > return e.stopped();
> > }
> > virtual ~BAB(void) {}
> > };
> >
> > template<template<class> class E>
> > class RBS : public EngineBase {
> > protected:
> > Gecode::RBS<E,Gecode::Space> e;
> > public:
> > RBS(Gecode::Space* s, const Gecode::Search::Options& o)
> > : e(s,o) {}
> > virtual Gecode::Space* next(void) {
> > return e.next();
> > }
> > virtual Gecode::Search::Statistics statistics(void) const {
> > return e.statistics();
> > }
> > virtual bool stopped(void) const {
> > return e.stopped();
> > }
> > virtual ~RBS(void) {}
> > };
> >
> > enum WhichEngine {
> > WE_DFS, WE_BAB,
> > WE_RBS_DFS, WE_RBS_BAB
> > };
> >
> > EngineBase* engine(WhichEngine we,
> > Gecode::Space* s,
> > const Gecode::Search::Options& o) {
> > switch (we) {
> > case WE_DFS: return new DFS(s,o);
> > case WE_BAB: return new BAB(s,o);
> > case WE_RBS_DFS: return new RBS<Gecode::DFS>(s,o);
> > case WE_RBS_BAB: return new RBS<Gecode::BAB>(s,o);
> > }
> > }
> > }
> >
> >
> > --
> > Christian Schulte, Professor of Computer Science, KTH,
> > www.ict.kth.se/~cschulte/
> >
> >
> > -----Original Message-----
> > From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On
> > Behalf Of Christian Schulte
> > Sent: Thursday, August 22, 2013 9:50 AM
> > To: 'Kish Shen'
> > Cc: users at gecode.org
> > Subject: Re: [gecode-users] Adding restart-based search to ECLiPSe's
> > interface to Gecode
> >
> > Hi Kish,
> >
> > My bad... There is really no common basetype for search engines, the
> > type I mentioned is actually for the implementations and not the
interfaces...
> >
> > I think you will have to wait until I have added a common basetype
> > (there is a basetype, but it is not powerful enough), I might be able
> > to do it until the end of the week.
> >
> > Sorry for the confusion!
> >
> > Cheers
> > Christian
> >
> > --
> > Christian Schulte, Professor of Computer Science, KTH,
> > www.ict.kth.se/~cschulte/
> >
> >
> >
> > -----Original Message-----
> > From: Kish Shen [mailto:kisshen at cisco.com]
> > Sent: Thursday, August 22, 2013 9:45 AM
> > To: cschulte at kth.se
> > Cc: users at gecode.org
> > Subject: Re: [gecode-users] Adding restart-based search to ECLiPSe's
> > interface to Gecode
> >
> > Hi Christian,
> >
> > Thanks again!
> >
> > On 21/08/2013 19:17, Christian Schulte wrote:
> >> Try to avoid the Gecode::Search::bab .... functions. Just create as
> > follows:
> >> Gecode::Search::Engine* e = new Gecode::BAB(...) Then it also will
> >> work for RBS, and you do not have to create a second engine yourself,
> >> this will the RBS class do for you.
> >>
> >> And do not forget to delete e eventually!
> >>
> >
> > This is the part that I don't know how to do correct -- probably
> > because of my lack of C++ knowledge, but as far as I can tell,
> > Gecode::DFS etc are not of class Engine*, according to the doc:
> >
> > template<class T>
> > class Gecode::DFS<T>
> >
> > for subclasses T of Space
> >
> > T is GecodeSpace in my case, I assume. I am not sure what class DFS
> > is, but I can't see how it could be Engine*.
> >
> > Anway, I tried to do the assignment as you suggested:
> >
> >
> > Search::Engine* segine;
> > ...
> > sengine = new DFS<GecodeSpace>(solver, o); and indeed I get the error
> >
> > cannot convert 'Gecode::DFS<GecodeSpace>*' to 'Gecode::Search::Engine*'
> >
> > (I first tried sengine = new DFS(solver, o) but got an error 'expected
> > type-specifier')
> >
> > So I am not sure what to do -- do I need to change the type of
> > sengine, and/or the way I assign an engine to sengine?
> >
> > Cheers,
> >
> > Kish
> >
> >
> >
> >
> >
> > _______________________________________________
> > Gecode users mailing list
> > users at gecode.org
> > https://www.gecode.org/mailman/listinfo/gecode-users
> >
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The Akans are a meta-ethnicity who primarily live in Ghana and Ivory Coast. They have a fairly unique naming system, which is based on the day in the week a child is born, and on the gender of the child. So a boy born on a Monday would be named Kwadwo or Koho, and a girl would be called Adwoa. Each day has one or more variants, but there's usually not much to choose from.
The table below shows the Akan names. If you can't quite recall the day of the week you were born, consider using the name generator. The table below shows a list of Akan names. If you can't quite recall the day of the week you were born, consider using the name generator.


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[dscrdvrsc] <John Westbrook> that can be a really good place to be @GlorymanRTS in regards to helping others who don't know much
[dscrdvrsc] <John Westbrook> if you can learn enough to accurately help people and simplify it for them
[dscrdvrsc] <GlorymanRTS> @John Westbrook sure I don't mind helping and trying
[dscrdvrsc] <John Westbrook> part of the challenge for people who get more and more entrenched in complex technology is sort of the disconnect in how to explain it in simple terms
[dscrdvrsc] <John Westbrook> cos the questions don't happen for them anymore
[dscrdvrsc] <GlorymanRTS> I'm on track to getting around 2000 hours of watchable stream
[dscrdvrsc] <John Westbrook> they are creating stuff and don't need to see it from the angle of a noob
[dscrdvrsc] <John Westbrook> nice
[dscrdvrsc] <GlorymanRTS> actually the guys I usually stream to don't need simplification. They are some of the best coders in the world
[dscrdvrsc] <John Westbrook> I'm happy to help you if you have certain topic etc, you could pick my brain
[dscrdvrsc] <John Westbrook> oh, cool!
[dscrdvrsc] <John Westbrook> is it relevant tho?
[dscrdvrsc] <John Westbrook> you stream poker games?
[dscrdvrsc] <GlorymanRTS> The guys that watch my RTS games are like top level academics and computer scientists, lol
[dscrdvrsc] <John Westbrook> oh awesome
[dscrdvrsc] <GlorymanRTS> @John Westbrook yeah, poker stream is not too popular at the moment
[dscrdvrsc] <John Westbrook> so the real challenge is to explain things in a way that they don't discredit you?
[dscrdvrsc] <John Westbrook> oh rts games I missed that in my tired fog
[dscrdvrsc] <GlorymanRTS> I will ask them to pop by sometime. One of them said he wasn't interested because he's doing too much academic work and doesnt want to do much elese
[dscrdvrsc] <GlorymanRTS> Another said he prefers to code computer games
[dscrdvrsc] <GlorymanRTS> Another said he wants to design games instead
[dscrdvrsc] <John Westbrook> well, gotta do what you love
[dscrdvrsc] <GlorymanRTS> Oh there is one guy who said he would pop by
[dscrdvrsc] <GlorymanRTS> let me find his youtube. really nice guy
[dscrdvrsc] <John Westbrook> cool
[dscrdvrsc] <GlorymanRTS> his name is warren
[dscrdvrsc] <GlorymanRTS> he played that RTS final 2v2 on my stream
[dscrdvrsc] <GlorymanRTS> He mainly codes websites
[dscrdvrsc] <GlorymanRTS> I think he went to harvard
[dscrdvrsc] <John Westbrook> I'd imagine if the acedemians understood what Verus is about and is so far, they may find it quite fascinating
[dscrdvrsc] <John Westbrook> as you can see by my spelling, I'm not one
[dscrdvrsc] <John Westbrook> cool
[dscrdvrsc] <John Westbrook> as for coding, I mainly do websites as well
[dscrdvrsc] <GlorymanRTS> they do. but they often are busy doing really importants stuff or just stuff they find more amusing.
[dscrdvrsc] <John Westbrook> i prefer building things from scratch, regionally where I am in the usa there's not much business for that
[dscrdvrsc] <GlorymanRTS> I can also feel a bit guilty about asking them because they usually play RTS to relax
[dscrdvrsc] <GlorymanRTS> Not to be asked to work! lol
[dscrdvrsc] <John Westbrook> people are cheap and have the owner's son or whoevever do the wordpress stuff lol
[dscrdvrsc] <John Westbrook> ah yeah
[dscrdvrsc] <John Westbrook> speaking of work, I'll chat later
[dscrdvrsc] <John Westbrook> good questions and hopefully my explanations were helpful!
[dscrdvrsc] <GlorymanRTS> @John Westbrook catch you later buddy


Control of reaction-diffusion under state constraints
Reaction-diffusion equations appear frequently in natural phenomena such as:
• Population dynamics and invasion of species (see [1]).
• Neuroscience, where models for neuronal impulses exhibit traveling waves (see [2]).
• Chemical Reactions: modeling the evolution of concentrations of chemicals (see [3]).
• In evolutionary game theory (see [4, 5]).
• Magnetic systems in material science and their phase transitions (see [6]).
• Linguistics, we refer to [7] where the authors consider reaction-diffusion for analyzing language shift
by means of a traveling wave.
In the majority of the systems mentioned above, the state $u$ of an equation of the type
represents a population, concentration or proportion. For this reason, any model intending to predinct the behaviour of such quantity must fulfill a maximum principle [8].
In this group of tutorials, our aim is to explain the phenomenology arising when considering a control problem in the contexts mentioned above.
In general, the controllability of parabolic equations has been widley studied (for instance [9,10,11]). However, in this literature, the requirement that the trajectory has to be positive or between prescribed bounds was not a concern.
In Figure 1 one can see a boundary control of the semilinear equation
with $a$ being the control and the target function $v\equiv 0.33$.
Control from $u(0)\equiv 0$ to $u(T)\equiv 0.33$.
</div>
This model models the evolution of a proportion, and we observe that the control does not preserve the positivity of the state neither the meaningful upper bound.
From the application point of view of several of the applications mentioned, any control action proposed must fulfill that the associated trajectory has meaning.
The ideas exposed in this tutorial group are the following:
• The presence of state-constraints can create instrinsic obstructions for achieving the controllability. This is due to the emergence on non-trivial solutions and the comparison principle. The topic is treated in this blog [BLOG REFFERENCE].
• In order to prove the existence of controls one can use the stair-case method. This method relies on the construction of paths of steady-states that the controlled trajectory can follow. One can find more information about these constructions in this blog [BLOG REFFERENCE].
• In contrast to the unconstrained case, the presence of constraints induces a minimal controllability time. However, the construction done with the path of steady-states is only a way to control and it requires typically a large time, much larger than the minimal one. In this blog post [BLOG REFFERENCE], we explore different ways to control the system, a minimal controllability time control, a quasistatic control and we explore numerically the effect of the presence of barriers in an optimal control framework.
• Many models in population dynamics take care about spatial heterogeneity, this can lead for example to new types obstructions. In the blog [BLOG REFFERENCE], we explain the main features and the influence of an heterogeneous drift in a bistable equation called gene-flow. The heterogeneity in the drift comes from an approximation of a system of a system of two equations with an heterogeneous environment.
## References:
[1] A. Kolmogorov, Étude de l’équation de la diffusion avec croissance de la quantité de matière et son
application à un problème biologique, Bull. Univ. Moskow, Ser. Internat., Sec. A 1 (1937) 1–25.
[2] J. Evans, Nerve axon equations 4: the stable and unstable impulse, Indiana Univ. Math. J. 24 (12)
(1975) 1169–1190.
[3] B. Perthame, Parabolic equations in biology : growth, reaction, movement and diffusion, Lecture
notes on mathematical modelling in the life sciences, 2015.
[4] Travelling waves for games in economics and biology, Nonlinear Analysis: Theory, Methods and
Applications 30 (2) (1997) 1235 – 1244, proceedings of the Second World Congress of Nonlinear
Analysts.
[5] V. Hutson, K. Mischaikow, G. T. Vickers, Multiple travelling waves in evolutionary game dynamics,
Japan Journal of Industrial and Applied Mathematics 17 (3) (2000) 341.
[6] A. De Masi, P. Ferrari, J. Lebowitz, Reaction diffusion equations for interacting particle systems, J.
Stat. Phys. 44 (3-4) (1986) 589–644.
[7] K. Prochazka, G. Vogl, Quantifying the driving factors for language shift in a bilingual region 114 (17) (2017) 4365–4369.
[8] M.H. Protter and H.F. Weinberger, Maximum principles in differential equations, Springer Science & Business Media, 2012.
[9] G. Lebeau, L. Robbiano, Contrôle exact de léquation de la chaleur, Communications in Partial
Differential Equations 20 (1-2) (1995) 335–356.
[10] E. Fernández-Cara and E. Zuazua, Null and approximate controllability for weakly blowing up semilinear heat equations, Ann. Inst. H. Poincaré Anal. Non Linéaire 17 (2000), no. 5, 583 – 616.
[11] A.V. Fursikov and O.Y. Imanuvilov, Controllability of evolution equations, no. 34, Seoul National University, 1996.
[12] D. Ruiz-Balet and E. Zuazua. Control of certain parabolic models from biology and social sciences. Preprint available at https://cmc.deusto.eus/domenec-ruiz-balet/.
[13] P.L. Lions, On the existence of positive solutions of semilinear elliptic equations, SIAM Rev. 24 (1982), no. 4, 441–467.
[14] D. Pighin, E. Zuazua, Controllability under positivity constraints of multi-d wave equations, in:
Trends in Control Theory and Partial Differential Equations, Springer, 2019, pp. 195–232.
[15] J.-M. Coron, E. Trélat, Global steady-state controllability of one-dimensional semilinear heat equa-
tions, SIAM J. Control. Optim. 43 (2) (2004) 549–569.
[16] C. Pouchol, E. Trélat, E. Zuazua, Phase portrait control for 1d monostable and bistable reac-
635 tion–diffusion equations, Nonlinearity 32 (3) (2019) 884–909.
[17] D. Ruiz-Balet and E. Zuazua. Controllability under constraints for reaction-diffusionequations: The multi-dimensional case (2019). Preprint available athttps://cmc.deusto.eus/domenec-ruiz-balet/.
[18] I. Mazari, D. Ruiz-Balet, and E. Zuazua, Constrained control of bistable reaction-diffusion equations: Gene-flow and spatially heterogeneous models, preprint: https://hal.archives-ouvertes.fr/hal-02373668/document (2019).


class: center, middle, inverse, title-slide # ETC3250: Flexible Regression ## Semester 1, 2020 ###
Professor Di Cook
Econometrics and Business Statistics
Monash University ### Week 2 (b) --- class: split-two .column[.pad50px[ # Moving beyond linearity Sometimes the relationships we discover are not linear...

 ###### Image source: [XKCD](https://xkcd.com/2048/)]] .column[.content.vmiddle.center[  ]] --- class: split-two .column[.pad50px[ # Moving beyond linearity - Consider the following Major League Baseball data from the 1986 and 1987 seasons. - Would a linear model be appropriate for modelling the relationship between Salary and Career hits, captured in the variables `logSalary` and `logCHits`? ]] .column[.content.vmiddle.center[  ]] --- class: split-two .column[.pad50px[ # Moving beyond linearity - Perhaps a more flexible regression model is needed! ]] .column[.content.vmiddle.center[  ]] --- # Flexible regression fits The truth is rarely linear, but often the linearity assumption is good enough. When it's not ... - .orange[polynomials], - step functions, - .orange[splines], - local regression, and - .orange[generalized additive models] offer a lot of flexibility, without losing the ease and interpretability of linear models. --- # Polynomial basis functions Instead of fitting a linear model (in `\(X\)`), we fit the model `$$y_i = \beta_0 + \beta_1 b_1(x_i) + \beta_2 b_2(x_i) + \dots + \beta_K b_K(x_i) + e_i,$$` where `\(b_1(X), b_2(X), \dots, b_K(X)\)` are a family of functions or transformations that can be applied to a variable `\(X\)`, and `\(i = 1, \dots, n\)`. - Polynomial regression: `\(b_k(x_i) = x_i^k\)` - Piecewise constant functions: `\(b_k(x_i) = I(c_k \leq x_i \leq c_{k+1})\)` --- # Polynomial basis functions  x1 `\(=x\)`, x2= `\(x^2\)`, x3= `\(x^3\)`, x4= `\(x^4\)`, x5= `\(x^5\)` --- # Splines Knots: `\(\kappa_1,\dots,\kappa_K\)`. A spline is a continuous function `\(f(x)\)` consisting of polynomials between each consecutive pair of "knots" `\(x=\kappa_j\)` and `\(x=\kappa_{j+1}\)`. - Parameters constrained so that `\(f(x)\)` is continuous. - Further constraints imposed to give continuous derivatives. --- # Piecewise Cubic Poly Spline Piecewise cubic polynomial with a single knot at a point `\(c\)`: `$$\hat{y}_i = \left\{ \begin{array}{l} \beta_{01}+\beta_{11}x_i+\beta_{21}x_i^2+\beta_{31}x_i^3~~~if~x_i< c\\ \beta_{02}+\beta_{12}x_i+ \beta_{22}x_i^2+\beta_{32}x_i^3~~~if~x_i \geq c\end{array}\right\}$$` --- # Piecewise Poly      .font_tiny[(Chapter 7/ 7.3)] --- # Basis Functions - Truncated power basis - Predictors: `\(x\)`, ..., `\(x^p\)`, `\((x-\kappa_{1})_+^p\)`, ..., `\((x-\kappa_{K})_+^p\)` Then the regression is piecewise order- `\(p\)` polynomials. - `\(p-1\)` continuous derivatives. - Usually choose `\(p=1\)` or `\(p=3\)`. - `\(p+K+1\)` degrees of freedom --- # Basis functions  x1 `\(=x\)`, x2= `\(x^2\)`, x3= `\(x^3\)`, x4= `\((x+0.5)^3_+\)`, x5= `\((x-0.5)^3_+\)` --- # Natural splines - Splines based on truncated power bases have high variance at the outer range of the predictors. - Natural splines are similar, but have additional .orange[boundary constraints]: the function is linear at the boundaries. This reduces the variance. Degrees of freedom `\(\verb|df|=K\)`. Create predictors using `\(\verb|ns|\)` function in R (automatically chooses knots given `\(\verb|df|\)`). --- class: split-two .column[.pad50px[ # Comparison with Cubic splines We can fit a cubic spline in `R` using `splines::bs()`, and fit a natural cubic spline using `splines::ns()`. - Notice the difference between the fits towards the end of the curves. ]] .column[.content.vmiddle.center[  ]] --- class: split-two .column[.pad50px[ # Comparison with Polynomial Regression - Notice the difference between the fits towards the end of the curves. ]] .column[.content.vmiddle.center[  ]] --- # Natural cubic splines  --- # Knot placement
 .green[
] **Strategy 1:** specify `df` (which creates `df-1` internal knots and 2 boundary knots, so that `df` = `\(K+1\)`) and let `ns()` place them at appropriate quantiles of the observed `\(X\)`.
 .green[
] **Strategy 2:** choose `\(K\)` and their locations. --- ## Natural cubic splines with differing knots  --- # Generalised additive models (GAMs) Why is it hard to fit models of the form `$$y = f(x_1,x_2,\dots,x_p) + e?$$` - Data is very sparse in high-dimensional space. - Model assumes `\(p\)`-way interactions which are hard to estimate. --- # Additive functions
 .tip[ `\(y_i=\beta_0+f_1(x_{i,1})+f_2(x_{i,2})+...+f_p(x_{p,1})+e_i\)` ] where each `\(f\)` is a smooth univariate function. Allows for flexible nonlinearities in several variables, but retains the additive structure of linear models. --- class: split-two .column[.pad50px[ # Additive functions `$$\begin{align} \log(\mbox{Salary}) & = \beta_0 + f_1(\mbox{log(CHits)}) \\ & + f_2(\mbox{Years}) + f_3(\mbox{Errors}) \\ & + f_4(\mbox{Assists}) + \varepsilon \end{align}$$`
 ```r my_gam <- gam(logSalary~s(logCHits) + s(Years)+ s(Errors) + s(Assists),data = hits) ``` ]] .column[.content.vmiddle.center[  ]] --- # Generalisations - Can fit a GAM simply using, e.g. natural splines: - Coefficients not that interesting; fitted functions are. - Use `draw` from `gratia` package to plot GAMs fitted in `mgcv` package. - Can mix terms --- some linear, some nonlinear --- and use `anova()` to compare models. - GAMs are additive, although low-order interactions can be included in a natural way using, e.g. bivariate smoothers or interactions of the form `ns(age,df=5):ns(year,df=5)`. --- # Can we include interaction effects? - Additive models assume no interactions. - Add bivariate smooths for two-way interactions. - Graphically check for interactions using faceting. --- layout: false # 👩💻 Made by a human with a computer ### Slides at [https://monba.dicook.org](https://monba.dicook.org). ### Code and data at [https://github.com/dicook/Business_Analytics](https://github.com/dicook/Business_Analytics).
 ### Created using [R Markdown](https://rmarkdown.rstudio.com) with flair by [**xaringan**](https://github.com/yihui/xaringan), and [**kunoichi** (female ninja) style](https://github.com/emitanaka/ninja-theme).

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


CRAZY/BEAUTIFUL A film review by Annette Cardwell Copyright 2001 filmcritic.com
Just going on the sassy and jangly rock-filled MTV ad campaign for crazy/beautiful, you'd think that this teen flick was just another She's All That-style adolescent love story about the popular kid and the misfit, but this is not just another happy-go-lucky clone. While the writing may be a little too self-indulgent with its message-laden speeches, crazy/beautiful is pretty brave in the subjects it takes on, and does its best to avoid many teen movie conventions.
Nicole (Kirsten Dunst) is the privileged daughter of a congressman (Bruce Davison) who remarried to start a new family after Nicole's mother's suicide. Traumatized and emotionally alone, Nicole is always in trouble, and makes a defiant play for wrong-side-of-the-tracks Carlos (Jay Hernandez from MTV's Undressed soap), a hard-working straight-A Latino who commutes two hours from East Los Angeles to the Nicole's ritzy Pacific Palisades high school.
Of course, the film's filled with pat questions, like "Can their inter-racial, inter-class romance survive?" "Can Carlos teach Nicole to love?" and "Will Nicole's dad ever reach out to his troubled daughter?" But the writers show smart glimpses into the many sides of some of these cliché issues. For example, instead of just going the Pretty in Pink route where the poor kid feels alienated from the rich kid's exclusive clique, this time the tables are turned. Nicole finds herself at a loss at Carlos' eastside Latino family party. She realizes she's competing with other Latina women for Carlos' affection, and that his family and community could mean more to him than her or her family's money and prestige.
But those trite themes get played out in a bad way as well, mostly through poorly written, long, groan-inducing soliloquies. Case in point: Carlos delivers a classic "you make me not afraid to be myself" monologue that could just make you gag. Fortunately, most of the non-speech dialogue is decent stuff. Unlike Kevin Williamson's tiresome, adult-sounding teen banter, conversations between Nicole and Carlos are actually very real and often touching.
Much of that realism may be more a result of the truly impressive performances from Hernandez and most especially Dunst, who plays Nicole as the fragile party girl who acts out with wild and crazy antics to dull a heart-wrenching pain. Even Davison does the best anyone could do with the often hollow father role, adding depth where the writing for the character doesn't provide any.
Just keep in mind that -- despite the marketing -- this movie is no screwball romance, so don't go in expecting to get one. Instead of crazy/beautiful, it should be Prozac-addled/beautiful. In other words, it's not a good kind of crazy; it's that dark, disturbing kind of crazy. In that way, it's hard to say who this movie's intended for, but, judging from all the puffy red eyes in the screening audience, teen girls will at least get a tearjerking (and a lame-ass soundtrack by the likes of Seven Mary Three and Fastball) out of it.

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[Trailer] “The Walking Dead” Will Return in February 2020
by John SquiresThe violent battle between the heroes of “The Walking Dead” and the villainous Whisperers has been put on hold following last night’s mid-season finale, and we’ve learned today that the series will be returning to AMC for the back half of season 10 on February 23, 2020.
The mid-season finale sent Michonne off on a boat in search of weapons and trapped several beloved characters in a cave with Alpha’s own personal horde of hungry walkers, and we’ll be picking up those storylines come February. In the meantime, you can whet your appetite for what’s coming with the official teaser trailer for season 10’s second half down below.
Any predictions? Hopes? Sound off by leaving a comment!


Mumbai and Hyderabad to swap T20Is
The first and third matches of the series, earlier scheduled in Mumbai on December 6 and Hyderabad on December 11, have been swapped.
by V.V. SubrahmanyamAs a fallout of the Mumbai Police’s refusal to provide security on December 6, the itinerary for India’s T20I series against the West Indies next month has been tweaked.
The first and third matches of the series, earlier scheduled in Mumbai on December 6 and Hyderabad on December 11, have been swapped.
Hyderabad Cricket Association secretary R. Vijayanand confirmed to The Hindu that the city will now host the first T20I on December 6. The swap was forced hours after the Mumbai Cricket Association (MCA) informed the Board of Control for Cricket in India (BCCI) of its inability to host the series-opener on December 6.
Two days after the Mumbai Police had informed the MCA that police force cannot be made available considering December 6 being the death anniversary of Dr. Babasaheb Ambedkar, MCA officials on Friday met with Commissioner of Police Sanjay Barve. It is understood that the MCA officials requested Barve to provide 25% of the force that is usually provided but were told no policeman can be made available.
It forced the MCA to request the BCCI for swapping either the second or the third T20I. With HCA agreeing to host the first game, the problem has been amicably resolved.
Revised itinerary:
First T20I: Dec. 6: Hyderabad;
Second T20I: Dec. 8: Thiruvananthapuram;
Third T20I: Dec. 11: Mumbai.


Saket Upadhyay
About
Research
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GPG Public Key
[download asc file]


ms (200 by default)
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Default placement of hovercards Top Right Bottom Left
Show user hovercards for myself
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Uli Siegmeier – Interaction Designer
Hey,
I am Uli, freelance interaction designer with a background in product management and development. I love research, concepts, drawing, prototyping, tinkering and post-its, I don't love graphic design.
After working as Head of Product and UX for the Berlin-based startup Zoobe for over 4 years, I started freelancing in 2017. Recent clients include the startups BloodLink and Startup Guide. All companies I worked with required product development and design based on research and frequent iterations. Please see my portfolio for a full description of all projects.


Sample - Check in
Repository:
User ID:
Password:
Item ID:
id of the checked out document
Criteria:
[{name: "DocumentTitle", value: "My Document"}]
Content Source Type:
Enter "Document" for check in with content
Mime Type:
e.g. "text/plain" - must be set for content
File:
Check in as minor version:


Part Hunt
More Time More Cash
Find the work that suits you
We are so glad you'er here! you'er now part of our ever growing community of people who want to make their lives better via Part hunt.
Whether you've Joined to find the dream job or looking for opportunities we've got somthing for you.


Kontra.tileEngine(properties)
- properties {object}
- Properties of the tile engine.
- properties.width {number}
- Width of the tile map (in number of tiles).
- properties.height {number}
- Height of the tile map (in number of tiles).
- properties.tilewidth {number}
- Width of a single tile (in pixels).
- properties.tileheight {number}
- Height of a single tile (in pixels).
- properties.tilesets {object[]}
- Array of tileset objects.
- properties.tilesets.firstgid {number}
- First tile index of the tileset. The first tileset will have a firstgid> of 1 as 0 represents an empty tile.
- properties.tilesets.image {string | HTMLImageElement}
- Relative path to the HTMLImageElement or an HTMLImageElement.
- properties.tilesets.margin {number}
- Optional. The amount of whitespace between each tile. Defaults to 0.
- properties.tilesets.tilewidth {number}
- Optional. Width of the tileset (in number of tiles). Defaults to tilewidth.
- properties.tilesets.tileheight {number}
- Optional. Height of the tileset (in number of tiles). Defaults to tileheight.
- properties.tilesets.source {string}
- Optional. Relative path to the tileset JSON file.
- properties.tilesets.columns {number}
- Optional. Number of columns in the tileset image.
- properties.layers {object[]}
- Array of layer objects.
- properties.layers.name {string}
- Unique name of the layer.
- properties.layers.data {number[]}
- 1D array of tile indices.
- properties.layers.visible {boolean}
- Optional. If the layer should be drawn or not. Defaults to true.
- properties.layers.opacity {number}
- Optional. Percent opacity of the layer. Defaults to 1.
A tile engine for managing and drawing tilesets.
Table of Contents
- Basic Use
- Advance Use
- Moving the Camera
-
Properties
-
Methods
Basic Use
Creating a tile map requires three things:
- Dimensions of the tile map and a tile
- At least one tileset with an image
- At least one layer with data
To set up the tile engine, you'll need to pass it the width and height of a tile (in pixels) and the width and height of the map (in number of tiles).
You'll then need to add at least one tileset with an image as well as firstgid, or fist tile index of the tileset. The first tileset will always have a firstgid of 1 as 0
represents an empty tile.
Lastly, you'll need to add at least one named layer with data. A layer tells the tile engine which tiles from the tileset image to use at what position on the map.
Once all tileset images and all layers have been added, you can render the tile engine by calling its render() function.
Advance Use
Adding all the tileset images and layers to a tile engine can be tedious, especially if you have multiple layers. If you want a simpler way to create a tile engine, Kontra has been written to work directly with the JSON output of the Tiled Map Editor.
The one requirement is that you must preload all of the tileset images and tileset sources using kontra.assets.load() before you create the tile engine.
Moving the Camera
If your tilemap is larger than the canvas size, you can move the tilemap camera to change how the tilemap is drawn. Use the tile engines sx and sy properties to move the camera. Just like drawing an image, the cameras coordinates are the top left corner.
The sx
and sy
coordinates will never draw the tile map below 0 or beyond the last row or column of the tile map.
kontra.tileEngine.context
{CanvasRenderingContext2D}
The context the tile engine will draw to.
kontra.tileEngine.height
{number}
The height of the map in tiles.
kontra.tileEngine.layerCollidesWith(name, object)
- name {string}
- The name of the layer to check for collision.
- object {object}
- The object to check collision against.
Check if the object collides with the layer (shares a gird coordinate with any positive tile index in layers data). The object being checked must have the properties x
, y
, width
, and height
so that its position in the grid can be calculated. kontra.sprite defines these properties for you.
let tileEngine = kontra.tileEngine({
tilewidth: 32,
tileheight: 32,
width: 4,
height: 4,
tilesets: [{/* ... */}],
layers: [{
name: 'collision',
data: [ 0,0,0,0,
0,1,4,0,
0,2,5,0,
0,0,0,0 ]
}]
});
let sprite = kontra.sprite({
x: 50,
y: 20,
width: 5,
height: 5
});
tileEngine.layerCollidesWith('collision', sprite); //=> false
sprite.y = 28;
tileEngine.layerCollidesWith('collision', sprite); //=> true
kontra.tileEngine.layers
{object[]}
Array of all layers of the tile engine.
kontra.tileEngine.mapheight
{number}
The height of a tile map in pixels.
kontra.tileEngine.mapwidth
{number}
The width of a tile map in pixels.
kontra.tileEngine.render()
Render all visible layers.
kontra.tileEngine.renderLayer(name)
- name {string}
- Name of the layer.
Render a specific layer.
kontra.tileEngine.sx
{number}
X coordinate of the tile map camera.
kontra.tileEngine.sy
{number}
Y coordinate of the tile map camera.
kontra.tileEngine.tileAtLayer(name, position)
- name {string}
- Name of the layer.
- position {object}
- Position of the tile using either
x
andy
orrow
andcol
.
Get the tile at the specified layer using either x and y coordinates or row and column coordinates.
let tileEngine = kontra.tileEngine({
tilewidth: 32,
tileheight: 32,
width: 4,
height: 4,
tilesets: [{/* ... */}],
layers: [{
name: 'collision',
data: [ 0,0,0,0,
0,1,4,0,
0,2,5,0,
0,0,0,0 ]
}]
});
tileEngine.tileAtLayer('collision', {x: 50, y: 50}); //=> 1
tileEngine.tileAtLayer('collision', {row: 2, col: 1}); //=> 2
kontra.tileEngine.tileheight
{number}
The height of a tile.
kontra.tileEngine.tilesets
{object[]}
Array of all tilesets of the tile engine.
kontra.tileEngine.tilewidth
{number}
The width of a tile.
kontra.tileEngine.width
{number}
The width of the map in tiles.


chmod
Change the access permissions of a file or directory.
More information: home page
- Give the [u]ser who owns a file the right to e[x]ecute it:
chmod u+x path/to/file
- Give the [u]ser rights to [r]ead and [w]rite to a file/directory:
chmod u+rw path/to/file_or_directory
- Remove e[x]ecutable rights from the [g]roup:
chmod g-x path/to/file
- Give [a]ll users rights to [r]ead and e[x]ecute:
chmod a+rx path/to/file
- Give [o]thers (not in the file owner's group) the same rights as the [g]roup:
chmod o=g path/to/file
- Remove all rights from [o]thers:
chmod o= path/to/file
- Change permissions recursively giving [g]roup and [o]thers the ability to [w]rite:
chmod -R g+w,o+w path/to/directory
- Recursively give [a]ll users [r]ead permissions to files and e[X]ecute permissions to sub-directories within a directory:
chmod -R a+rX path/to/directory


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.govukfrontend.views.Aliases.WarningText @import uk.gov.hmrc.govukfrontend.views.html.components.GovukWarningText @import uk.gov.hmrc.govukfrontend.views.viewmodels.content.Text @this( layout: pageLayout, govukWarningText: GovukWarningText) @()(implicit request: Request[_], messages: Messages) @layout( pageHeading = messages("index.title"), withTimeoutDialog = false ){
@Html(messages("index.subheader"))
@messages("index.info")
@messages("index.before.p1")
@messages("index.before.p2")
@messages("index.help.p1")
@messages("index.help.p2")
}


The script to the 2nd Terminator 2: Judgement Day!
Terminator 2: Judgment Day
Janelle: Hello?
John: Janelle? It's me.
Janelle: John? Where are you, honey? It's late. You should come home, dear. I'm making a casserole.
John: Something's wrong. She's never this nice.
John: The dog's really barking. Maybe it's already there. What should I do?
Janelle: John? John, are you okay?
Terminator: (in John's voice) I'm right here. I'm fine.
Terminator: (to John, a whisper) What's the dog's name?
John: Max.
Terminator: Hey, Janelle, what's wrong with Wolfy? I can hear him barking. Is he okay?
Janelle: Wolfy's fine, honey. Where are you?
Terminator: Your foster parents are dead. Let's go.


Action Class
Definition
Line
505
of
scmlg/Model.cm
Constructors & Destructor
public
Action
(
int
id_,
CompoundStatementNode
* stmt_)
Member Functions
public
CompoundStatementNode
*
Code
()
const
public
int
Id
()
const
Member Variables
private
int
id
private
UniquePtr
<
CompoundStatementNode
>
stmt
Constructor& Destructor Details
Action Constructor
public
Action(
int
id_,
CompoundStatementNode
* stmt_)
Definition
Line
507
of
scmlg/Model.cm
Member Function Details
Code Member Function
public
CompoundStatementNode
* Code()
Definition
Line
515
of
scmlg/Model.cm
Id Member Function
public
int
Id()
Definition
Line
511
of
scmlg/Model.cm


Privacy
We care about your privacy greatly. That's why our service collects as little information as possible to keep you anonymous.
Your TraceTogether IDs are never stored on any disk - ever. IDs are only used to sync the different receivers, and thrown out immediately after processing the data.
Our graphs are generated using aggregated data. We only save the number of people in the canteen at any given moment, not who was there.
The BlueTrace protocol changes your ID every 15 minutes, so we cannot track you.
Servers running this app are secured and have strict access controls to keep your data safe and secure.
Don't take our word for it - our project is open source.


Various documents related to 12006 West Cow Path
2006-10_HomeInspection.pdf
2006-11_EngineeringSurvey.pdf
2006-11_Survey.pdf
2002_EngineeringSurvey.pdf
2006-11_Appraisal.pdf
1993_GaragePlans.pdf
2006-11_RoofRafterReinforcement.pdf
1998_Survey.pdf
1988_HomeInspection.pdf
1971_Deed.pdf
2006-10_WoodInsectInspection.pdf
2002-07_DrainReplacement.pdf


--- layout: page title: Lyara menu group: main icon: fa-home order: 1 ---
A simple setup to add a menu on your website, on a desktop on the right and on a mobile device on the bottom.


Preparation time
less than 30 mins
Cooking time
less than 10 mins
Serves
Serves 4
For the tartare, place the pink sparkling wine in a pan, bring to the boil and cook to reduce the liquid to two-thirds of its original volume.
Mix the salmon, lime juice, avocado, dill, shallot, and reduced pink sparkling wine in a bowl. Season with salt and freshly ground black pepper.
For the dressing, combine the mayonnaise, tomato ketchup, brandy and Worcestershire sauce.
To serve, place a 7.5cm/3in chefs' ring in the centre of a serving plate. Spoon the tartare into the ring and press down well. Remove the chefs' ring. Place three prawns and three segments of grapefruit around the tartare and drizzle with the dressing. Repeat with the other plates and serve.


--- layout: default ---
{{ site.hero.hero_description }}
{{ site.languages }}
We are expert bioinformaticians with years of experience in the field. We offer contract based research including bioinformatics analysis and custom software development for all type of projects.
Our clients come from academic, industrial and non-profit organizations. There, we lead projects in 'omics' based environmental monitoring, biodiversity research and ecosystem studies.
Are you an environmental scientist that plans to use DNA-based methods? Come to us, we can help you with everything from the sampling to data visualization and statistics.
We also provide bioinformatic training resources for non-experts, that can be customized for your organization's needs.
{{ service.description }}


[gecode-users] Problem on gecode 2.0 installation
Guido Tack
tack at ps.uni-sb.de
Fri Jan 25 13:39:55 CET 2008
Raffaele Cipriano wrote:
> Dear GECODE users and developers,
> I'm trying to install gecode 2.0 on a cluster with these
> characteristics:
>
> <mailto:users at gecode.org>Architecture: x86_64
> SO: Linux CentOS v.4.3
> Kernel: 2.6.9-34.ELsmp CentOS Kernel
>
> "$ ./configure" is ok (I attach the config.log file), but when i try
> "$ make" at some point i get:
>
> ./gecode/iter/ranges-diff.icc: In member function `virtual
> Gecode::ExecStatus
> Gecode::Set::Sequence::SeqU::propagate(Gecode::Space*)':
> ./gecode/iter/ranges-diff.icc:94: error: jump to `retry' invalidly
> jumps into binding contour
> ./gecode/iter/ranges-diff.icc:94: error: jump to `retry' invalidly
> jumps into binding contour
> ./gecode/iter/ranges-diff.icc:94: error: jump to `retry' invalidly
> jumps into binding contour
> make[1]: *** [gecode/set/sequence/seq-u.o] Error 1
> make[1]: Leaving directory `/home/cipriano/GECODE2.0'
> make: *** [compilelib] Error 2
> [cipriano at c0-0 GECODE2.0]$
This is a problem with gcc 3.4. We have fixed (well, worked around)
it in the trunk version of Gecode, and the fix will be part of the
next release. However, I would strongly suggest to use a more recent
version of gcc, preferably 4.2!
If you really need to get it working with Gecode 2.0.0 (instead of the
trunk) and the old gcc, you should get the file ranges-diff.icc from
the trunk in our subversion repository and incorporate the changes
into your version.
Cheers,
Guido
More information about the gecode-users
mailing list


A ScriptManager is being developed for the TM to allow its behaviour to be controlled by script calls from within the code files it is running. Such calls would be of the form
ScriptManager.RelayCall("plugInObject id", "plugInMethod" )


| COOL SITES ON THE WEB |
WEB DOODLING - Let it amuse you for awhile, and then click along to participate. TIME-KILLER RATING: 4 mins. |
NERD COOL! - ASCII motion pictures! Something so 1800's never looked so hi-tech! How'd they do that? |
MITES ALIVE! - See the 1000s of tiny creatures who live in your eyelashes, munching on your hair folicles. |
| View All Websites |
|


{% extends "layout.html" %} {% set ptitle = "Who is your appeal for?" %} {% block page_title %} {{ ptitle }} - Tax Tribunals Prototype {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Back Step 6 of 16 Who is making the appealapplication? Who is the appealapplication for? Who is your appeal/application for? Individual Company Other type of organisation for example partnership, trust, club or association Save and come back later {% endblock %}
Back Step 6 of 16
Save and come back later


ONNX supported TorchScript operators¶
This page lists the TorchScript operators that are supported/unsupported by ONNX export.


For example this user consumed 10GB in the whole month
For example in this case we pay you 500 INR at the end of the month
We have thought through the process & wanted to put safety measures from day zero for safety of Wi-Fi owners.
The open Griggi Wi-Fi is on a different subnet & the guests cant access your router. Period.
Griggi ensures that users on password protected network gets faster internet wrt Griggi guests connected to your Wi-Fi. You can view connected guests & selectively remove them. Worst case - disable open Wi-Fi from dashboard.
If you end up using only 50-60 GB of your 100 GB quota, you can safely put aside 30 GB for sharing. Sharing will auto disable when your sharing quota is all used up.
Its like lending your unused data to a needy person & making some money to offset your Wi-Fi usage expense.
Griggi is built on top of openwrt. More robust & user friendly than other custom developed solutions.
You get to see Griggi Wi-Fi speed & sharing quota once you connect to it.
Slow internet is a strict no for Griggi. It auto disables sharing if upstream link speed goes below 1 Mbps
Its easy for anyone to setup an open Wi-Fi, give it <somename>-griggi, put up a splash page that is like Griggi connect page & phish your Griggi username password.
Apart from ensuring that the page url contains griggi.com, we let our users choose a secret statement while registering. The statement shows up once your enter your Griggi username, before you key in your password. This ensures no phishing.


incline - a replicator for RDB shards
incline [options] command
Incline is a replicator for MySQL / PostgreSQL with following characteristics.
This manual consists of three parts, INSTALLATION
, TUTORIAL
, COMMAND REFENENCE
, and FILE FORMATS
. For design documentation and background knowledge, please refer to the URLs listed in the SEE ALSO
section.
Incline uses autotools
and automatically tries to detect the client libraries of MySQL and / or PostgreSQL, so a typical installation procedure will be as follows.
% ./configure % make # make install
If configure fails to locate the client libraries, --with-mysql and --with-pgsql options can be used.
% ./configure --with-mysql=my_mysql_installation_dir
Also, if you have perl and its DBI drivers installed, it is possible to run the embedded tests using make.
% make test
The tutorial explains how to create a microblog service (like twitter) running on four database shards. Incline (by itself) does not support adding database nodes without stopping the service. If you are interested in such feature, please refer to the documentation of Pacific
after reading this tutorial.
At least four tables are needed to create a microblog service on database shards. Instead of a single table representing follower <=> followee relationship, each user needs to have a list of followers (or list of following users) to him / her on his / her database shard. Also, each user need to have his / her `timeline' table on his / her shard (or else the service would not scale out). The example below is a minimal schema on MySQL. All shards should have the same schema applied. Two tables, `following' and `tweet' will be modified by the application. `Follower' and `timeline' tables will be automatically kept (eventually) in sync by incline with the former two tables.
CREATE TABLE following ( userer_id INT UNSIGNED NOT NULL, following_id INT UNSIGNED NOT NULL, PRIMARY KEY (user_id,following_id) ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE follower ( user_id INT UNSIGNED NOT NULL, follower_id INT UNSIGNED NOT NULL, PRIMARY KEY (user,following_id) ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE tweet ( tweet_id INT UNSIGNED NOT NULL AUTO_INCREMENT, user_id INT UNSIGNED NOT NULL, creation_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, body VARCHAR(255) NOT NULL, PRIMARY KEY (tweet_id), KEY (user_id,tweet_id) ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
CREATE TABLE timeline ( user_id INT UNSIGNED NOT NULL, tweet_user_id INT UNSIGNED NOT NULL, tweet_id INT UNSIGEND NOT NULL, creation_time TIMESTAMP NOT NULL, PRIMARY KEY (user_id,creation_time,tweet_user_id,tweet_id) ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
To keep `follower' and `timeline' tables in sync with the other two, replication rules should be defined. The example below show the definition corresponding to the table schema above.
The first hash defines how the `follower' tables should be kept synchronized to the `following' tables. `Following_id' and `user_id' columns of `following' tables are mapped to `user_id' and `follower_id' columns of `follower' tables, and `follower' tables are sharded using the `user_id' column.
The second hash defines how the `timeline' tables should be constructed from the `follower' tables and `tweet' tables. In addition to the definitions of `pk_columns' and `shard-key', `merge' property of the hash defines how the two source tables should be merged (using INNER JOIN).
[ { "destination" : "follower", "source" : "following", "pk_columns" : { "following.following_id" : "user_id", "following.user_id" : "follower_id" }, "shard-key" : "user_id" }, { "destination" : "timeline", "source" : [ "follower", "tweet" ], "pk_columns" : { "follower.follower_id" : "user_id", "tweet.user_id" : "tweet_user_id", "tweet.tweet_id" : "tweet_id", "tweet.creation_time" : "creation_time" }, "merge" : { "follower.user_id" : "tweet.user_id" }, "shard-key" : "user_id" } ]
Another definition file is required when using incline for synchronizing database shards. The following example represents a distributed database with four shards using range partitioning. First node with the IP address <IP_ADDRESS> handles ids from 0 to 9999, second node (<IP_ADDRESS>) handles 10000 to 19999, third (<IP_ADDRESS>.3) handles 20000 to 29999, fourth (<IP_ADDRESS>) handles ids equal to or greater than 3000.
{ "algorithm" : "range-int", "map" : { "0" : [ { "host" : "<IP_ADDRESS>" } ], "10000" : [ { "host" : "<IP_ADDRESS>" } ], "20000" : [ { "host" : "<IP_ADDRESS>" } ], "30000" : [ { "host" : "<IP_ADDRESS>" } ] } }
In addition to `range-int', `hash-int' algorithm is also supported. A hash-based shard definition will look like below, you may use either one to run the microblog service described in this tutorial.
{ "algorithm" : "hash-int", "num" : 4, "nodes" : [ [ { "host" : "<IP_ADDRESS>" } ], [ { "host" : "<IP_ADDRESS>" } ], [ { "host" : "<IP_ADDRESS>" } ], [ { "host" : "<IP_ADDRESS>" } ] ] }
The next step is to install triggers and to create queue tables using the definitions files. The following commands create queue tables and installs triggers on the database running on <IP_ADDRESS>. The commands should be applied to all of the database shards.
% incline --rdbms=mysql --database=microblog --host=<IP_ADDRESS> \ --user=root --password=XXXXXXXX --mode=shard \ --source=replication.json --shard-source=shard.json create-queue % incline --rdbms=mysql --database=microblog --host=<IP_ADDRESS> \ --user=root --password=XXXXXXXX --mode=shard \ --source=replication.json --shard-source=shard.json create-trigger
The files, `replication.json' and `shard.json' should contain the definitions shown in the sections above.
To transfer modifications between database shards, forwarders should be run attached to each shard. The example below starts a forwarder process attached to <IP_ADDRESS>.
% incline --rdbms=mysql --database=microblog --host=<IP_ADDRESS> \ --user=root --password=XXXXXXXX --mode=shard \ --source=replication.json --shard-source=shard.json forward
You should automatically restart the forwarder when it exits (it exits under certain conditions, for example, when it loses connection to the attached shard, or when the shard definition is being updated).
Now the whole system is up and running. You can try insert / update / delete the rows in `following' or `tweet' table and see the other tables updated by incline.
# User:100 starts following user:10100. `Follower' table on <IP_ADDRESS> # (the shard for user:10100) will be updated <IP_ADDRESS>> INSERT INTO following (user_id,following_id) VALUES \ (100,10100); <IP_ADDRESS>> SELECT * FROM follower WHEER user_id=10100; +---------+-------------+ | user_id | follower_id | +---------+-------------+ | 10100 | 100 | +---------+-------------+ 1 row in set (0.00 sec)
# User:10100 tweets. `Timeline' table on <IP_ADDRESS> will be updated. <IP_ADDRESS>> INSERT INTO tweet (user_id,body) VALUES (10100,'hello'); <IP_ADDRESS>> SELECET * FROM timeline WHERE user_id=100; +---------+---------------+----------+---------------------+ | user_id | tweet_user_id | tweet_id | creation_time | +---------+---------------+----------+---------------------+ | 100 | 10100 | 1 | 2009-10-05 20:32:07 | +---------+---------------+----------+---------------------+ 1 row in set (0.00 sec)
Reads the definition files and installs triggers generated onto the specified database node.
Reads the definition files and drops the triggers installed from the specified database node.
Reads the definition files and prints the triggers generated in JSON format.
Reads the definition files and creates queue tables on the specified database node (only works if --mode is set to either `queue-table' or `shard).
Reads the definition files and drops the queue tables installed from the specified database node (only works if --mode is set to either `queue-table' or `shard').
Reads the definition files and forwards the data from the specified database node to other nodes (only works if --mode is set to either `queue-table' or `shard'). The process will stop when connection to the specified database closes or when the shard definition file is being updated.
RDBMS being used. Currently supports MySQL (5.0 or above) and PostgreSQL (8.x?).
database (schema) name on the database
hostname of the database. Should be either a hostname or an IP address (default: <IP_ADDRESS>).
port number of the database. If ommited, uses the default port number of the RDBMS.
username of the database (default: root)
password of the databsae (default: none)
The mode is for running incline on a single database node. All updates are reflected synchronously.
The mode is for running incline on a single database node. All updates are queued into the queue tables generated by the `create-queue' command. The queued updates are applied by the `forward' command.
The mode is for running incline on multiple database nodes (shards). Updates that should be applied to the same shard are applied synchronously. Other updates are pushed into the queue tables generated by the `create-queue' command. The queued updates are applied to other nodes by the `forward' command.
replication definition to be used
shard definition to be used. Mandatory if --mode is set to `shard'.
when set, the `forward' command logs the transactions into the log file
prints version
prints help
Incline uses two files, replication definition file and shard definition file. Both of the files use JSON (see RFC 4627 for details) to represent the structures.
The definition consists of an array. Each element represents a single replication definition as a hash: between one `destination' table and more than one `source' tables. The hash may contain following keys.
name of the destination table
name of the source table(s)
maps columns of source tables(s)
to the columns of the destination table consisting the primary key. Source column should include the name of the table when using multiple source tables (like: ``src_table_a.column'').
same as pk_columns
, however defines relations to the non-primary-key columns of the destination table
defines INNER JOIN conditions when using multiple source tables.
when using --mode=shard, defines the column name of the destination table used as sharding key
The shard definition file is required only if --mode is set to `shard'. The file consists of a single JSON hash. Incline recognizes following keys in the hash.
defines the shard algorithm. Incline supports hash-based partitioning and range-based partitioning of integer columns of 64-bits or smaller.
defines number of database shards
list of database shards (the number of elements should match the value of the num
property)
list of database shards (keys specify the lower bounds for each node)
The node definitions in nodes
or map
should be a hash or a array of hashes with following key-value pairs. When using arrays of hashes, incline will only use the first element of the array. Other elements in the array may be used by other middlewares such as Pacific, for example for defining slave database nodes.
hostname or IP address of the database node (required)
port number of the database node (default: uses the default port number of the RDBMS used)
username of the database node (default: ``root'')
password of the database node (default: empty password)
Incline & Pacific (in Japanese) http://www.slideshare.net/kazuho/incline-pacific
A Clever Way to Scale-out a Web Application http://www.slideshare.net/kazuho/a-clever-way-to-scaleout-a-web-application
Kazuho@Cybozu Labs: Intruducing Incline - a synchronization tool for RDB shards (outdated) http://developer.cybozu.co.jp/kazuho/2009/07/intruducing-inc.html
Kazuho Oku<EMAIL_ADDRESS>The software is licensed under the new BSD license. See COPYING
.


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NativeValue Class
Definition at line
60
of
GenObject.hpp
Constructors
NativeValue
(
void
* value_)
Member Functions
void
Load
(
Emitter
& emitter,
OperationFlags
flags)
override
void
Store
(
Emitter
& emitter,
OperationFlags
flags)
override
Member Variables
void
*
value
Constructor Details
NativeValue Constructor
cmajor::ir::NativeValue::NativeValue(
void
* value_)
Definition at line
63
of
GenObject.hpp
:
63
:
value
(
value_
)
{
}
Member Function Details
Load Member Function
void
cmajor::ir::NativeValue::Load(
Emitter
& emitter,
OperationFlags
flags)
override
Definition at line
19
of
GenObject.cpp
:
20
{
21
emitter
.
Stack
(
)
.
Push
(
value
)
;
22
}
Declaration at line
64
of
GenObject.hpp
Base class overridden functions:
cmajor::ir::GenObject::Load
Calls:
cmajor::ir::Emitter::Stack
,
cmajor::ir::ValueStack::Push
Store Member Function
void
cmajor::ir::NativeValue::Store(
Emitter
& emitter,
OperationFlags
flags)
override
Definition at line
24
of
GenObject.cpp
:
25
{
26
void
*
val
=
emitter
.
Stack
(
)
.
Pop
(
)
;
27
emitter
.
CreateStore
(
val
,
value
)
;
28
}
Declaration at line
65
of
GenObject.hpp
Base class overridden functions:
cmajor::ir::GenObject::Store
Calls:
cmajor::ir::Emitter::CreateStore
,
cmajor::ir::Emitter::Stack
,
cmajor::ir::ValueStack::Pop
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DAYLIGHT A film review by Christopher E. Meadows Copyright 1996 Christopher E. Meadows
[PG-13] Directed by Rob Cohen; starring Sylvester Stallone My rating: 8/10 (**** out of *****)
In _Daylight_, Sylvester Stallone breaks no new ground, cinematically speaking, but he covers familiar territory quite well.
Yesterday, as I was going about my business in the university bookstore, I noticed this stand with these _Daylight_ movie posters on it. I had never heard of the movie, so I stopped by to check it out. It turned out that they were giving away free passes to the movie for people who had or applied for the credit card they were offering. So, I shrugged, thought, "Hey, they probably won't give me the card anyway, and I could always use a free movie," so I signed up. All in all, I don't think I got that bad of a deal, either.
Rob Cohen, who has previously brought us such films as _Dragon: The Bruce Lee Story_ and, more recently, _Dragonheart_ (gee, I wonder if he likes dragons for some reason? You think?), now brings us a very nicely executed disaster picture, with FX by Industrial Light and Magic, about the after-effects of an explosion that collapses a busy tunnel between New York and New Jersey.
Sylvester Stallone plays Kit Latura, who is essentially a carbon copy of the character he played in _Cliffhanger_: a paramedic on the outs because he made a mistake that got people killed. When the crisis hits, he is in the right place at the right time and takes it upon himself to go in and get everybody out. There are other similarities to _Cliffhanger_, too; perhaps the only real difference is that _Cliffhanger_ had a villain, where _Daylight_'s bad guy is Mother Nature. In fact, had the two movies been made in Hong Kong, this might have been titled _Cliffhanger II_--it bears the same relationship to that film that most HK film "sequels" do to their predecessors.
The first half-hour of _Daylight_ is setup. Subplots are woven, and the mechanism of the disaster is assembled. We meet all the important people...toxic waste disposal truck drivers; a young, frustrated, jilted, rejected playwright; a family struggling to stay together; an older couple and their dog; a truckload of prisoners; an ad agency executive; a tunnel police officer; Stallone; and others. We watch the trucks trundle toward their destination; we watch Stallone and so many others driving toward the tunnel for their various reasons. And then, thirty minutes into the film, _BOOM_. And it's a big one.
>From there on in, it's Sly Stallone to the rescue. And rescue he does, enduring batterings, beatings, falls, repeated immersion in 34-degree water, explosions, mud, rats, and constant setbacks, before going on to save the day, Sly-style. Again...there's nothing new here.
And yet there doesn't need to be. The fun of _Daylight_ is not in the story but in the execution. The special-effects are first-rate, thanks to Industrial Light and Magic, and the ensemble cast works well together. Once the film hits its stride, it carries the viewer right along to the finish, with very few jars along the way.
This review is copyright 1996 by Christopher E. Meadows. Permission granted for distribution through rec.arts.movies.reviews and all associated archival. Permission granted for free redistribution via cyberspace as long as this message remains attached. All other rights reserved to the author.
-- Chris Meadows aka | Author, Team M.E.C.H.A., Crapshoot & Co<EMAIL_ADDRESS>| With a World Wide Web homepage located at<EMAIL_ADDRESS>| http://www.jurai.net/~robotech/index.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Welcome to prestest’s documentation!¶
Introduction¶
A Python library providing a testing environment for hive table creation and cleaning through presto connector. It lets you mock the environment where you need to execute presto query and operate on tables managed by hive.
Installation¶
The latest version can be install from checking master branch at github and install with the following command:
python setup.py install
You also need to install docker daemon. You may check if it is installed by:
docker ps
This library is heavily dependent on hive docker. You need to clone hive docker file repo from docker-hive github. In this doc, we will refer the folder containing cloned repo as docker folder. For example, /tmp/repos/docker-hive. If prestest’s repos is cloned recursively, you may find the docker folder under root of this repo.
An Example¶
The simplest use case is from the fixtures:
from prestest.fixtures import * # Do not import individually as fixtures have dependency that needs to be imported
To use in your test:
from pandas.testing import assert_frame_equal
import pandas as pd
from sqlalchemy.exc import DatabaseError
docker_folder = 'Your docker_folder'
@pytest.mark.prestest(allow_table_modification=True, reset=True,
container_folder=docker_folder)
def test_start_container_enable_table_modification_allow_presto_table_creation_and_drop(
start_container, db_manager):
# create a sample table through presto
table_name = "sandbox.test_table"
create_table = f"""
CREATE TABLE IF NOT EXISTS {table_name} AS
SELECT
1 AS col1,
'dummy' AS col2
"""
db_manager.read_sql(create_table)
# test that the table is created properly and can be queried from presto
select_table = f"SELECT * FROM {table_name}"
result = db_manager.read_sql(select_table)
expected = pd.DataFrame({"col1": [1], "col2": ["dummy"]})
assert_frame_equal(result, expected)
# test table dropping is permitted
db_manager.read_sql(f"DROP TABLE {table_name}")
# test that the table is properly dropped
with pytest.raises(DatabaseError):
db_manager.read_sql(select_table)
Some fixtures can be configured through @pytext.mark.prestest
. See Fixture Parameters for details.


 You are currently using the root directory as dropbox directory. If you wish to change
this to a different directory, click here
{% endif %}
{% else %}
Your account is not connected to dropbox. Go to {% url 'connect_repositories' %} and connect your Dropbox
account.


Sri Chinmoy Marathon
Paris FRA
Website: www.srichinmoyraces.org
Race Winners
(21 runnings)
27 Oct
2002 21 Oct
2001
29
Oct
2000
24 Oct
1999
25 Oct
1998
26 Oct
1997
27 Oct
1996 01
Oct
1995
27 Oct
1994
24 Oct
1993
25
Oct
1992
20 Oct
1991
15 Jul
1990
10 Dec
1989
Notes: 1988 was the inaugural year. For 2003-2011, only the 50 km and 100 km
races were held.
12
Mar
2017
2:58:02
Eric Lebouvier (FRA)
3:45:40
Beatrice Bourlon-2
27
Mar
2016
3:04:50
Frederic Vialade (FRA)
3:57:10
Beatrice Bourlon (FRA)
01
Mar 2015
3:10:16
Jean-Marie Billaud (FRA)
4:04:56
Sophie Boiron (FRA)
09 Mar 2014
2:54:00
Joseph Stephane (FRA)
4:44:34
Chantal Compte (FRA)
10 Mar 2013
2:52:33
Olivier Cabrera (FRA)
3:50:11
Christine David (FRA)
18 Mar 2012
3:55:47
Yann Robert (FRA)
4:27:34
Alize Dubois (FRA)
2003-2011
---
not held
---
not held
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
---
n/a
2:43:
R Sweeney
---
n/a
---
n/a
---
n/a
2:44:
William Missonnier-4
4:11:
Anne Beauvais (FRA)
---
n/a
---
n/a
2:45:06
William Missonnier-3
4:51:20
M Yung (FRA)
2:41:11
William Missonnier-2
4:19:57
M-J Camus (FRA)
2:35:45
Bruno Brugnacchi (FRA)
3:48:51
Carmela Dupont (FRA)
---
n/a
---
n/a
2:49:20
Clet Lauvergnat (FRA)
4:00:50
Agnes Cayrouse (FRA)
2:51:23
William Missonnier (FRA)
3:49:21
Pascale Mahe (FRA)
---
n/a
---
n/a
13 Nov
1988
2:30:03
Ramdane Kaddour (ALG)
3:22:56
Nathalie Gonzalez (FRA)
Most Wins
(1988/date)
Men
4William Missonnier (FRA) 1990,1994-95,1997
Women
2Beatrice Bourlon (FRA) 2016-17
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race.
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level (1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men no men under 2:20 Women no women under 2:50
Last Updated on
23 Mar 2017
Contributor: Thierry Lefeuvre (34)