Coldplay putting global tour of latest album on hold because they want it to be carbon neutral
by Gareth DaviesColdplay are "taking time" to consider plans to tour their latest album because of environmental concerns, frontman Chris Martin has said.
The band are in Jordan to perform two shows, from the album Everyday Life, being streamed live on YouTube.
Martin, 42, told BBC News: "We're taking time to see how our tour can be actively beneficial."
He said of any future tour: "We would be disappointed if it's not carbon neutral.
"We've done a lot of big tours at this point. How do we turn it around so it's no so much taking as giving?"
The band's last big tour was for A Head Full Of Dreams, in 2016 and 2017.
Their new record will be released on Friday, with songs inspired by news reports about an Afghan gardener and a Nigerian hymn composer.


| Team | Rating | Wins | Losses |
Meet the Team
! .reverse()
arr.slice().map(() => arr.pop())
Kevin Miller
Love to laugh. Love to debug. Sometimes at the same time.
Bill Odell
lokah samastah sukhino bhavantu
Mitchell Massie
Created in 3032, Jamie is a time traveling android. She attends Code Fellows while secretly using her skills for the resistance.


| Class | Description |
|---|---|
| AggBinaryOp | |
| AggUnaryOp | |
| BinaryOp | |
| DataGenOp |
A DataGenOp can be rand (or matrix constructor), sequence, and sample -
these operators have different parameters and use a map of parameter type to hop position.
|
| DataOp |
A DataOp can be either a persistent read/write or transient read/write - writes will always have at least one input,
but all types can have parameters (e.g., for csv literals of delimiter, header, etc).
|
| DnnOp | |
| FunctionOp |
This FunctionOp represents the call to a DML-bodied or external function.
|
| Hop | |
| IndexingOp | |
| LeftIndexingOp | |
| LiteralOp | |
| MemoTable |
Memoization Table (hop id, worst-case matrix characteristics).
|
| MultiThreadedHop |
Optional hop interface, to be implemented by multi-threaded hops.
|
| NaryOp |
The NaryOp Hop allows for a variable number of operands.
|
| OptimizerUtils | |
| ParameterizedBuiltinOp |
Defines the HOP for calling an internal function (with custom parameters) from a DML script.
|
| QuaternaryOp |
Note: this hop should be called AggQuaternaryOp in consistency with AggUnaryOp and AggBinaryOp;
however, since there does not exist a real QuaternaryOp yet - we can leave it as is for now.
|
| ReorgOp |
Reorg (cell) operation: aij
Properties:
Symbol: ', rdiag, rshape, rsort
1 Operand (except sort and reshape take additional arguments)
Semantic: change indices (in mapper or reducer)
NOTE MB: reshape integrated here because (1) ParameterizedBuiltinOp requires name-value pairs for params
and (2) most importantly semantic of reshape is exactly a reorg op.
|
| TernaryOp |
Primary use cases for now, are
quantile (<n-1-matrix>, <n-1-matrix>, <literal>): quantile (A, w, 0.5)
quantile (<n-1-matrix>, <n-1-matrix>, <scalar>): quantile (A, w, s)
interquantile (<n-1-matrix>, <n-1-matrix>, <scalar>): interquantile (A, w, s)
Keep in mind, that we also have binaries for it w/o weights. |
| UnaryOp |
| Enum | Description |
|---|---|
| AggBinaryOp.MMultMethod | |
| AggBinaryOp.SparkAggType | |
| BinaryOp.AppendMethod | |
| BinaryOp.MMBinaryMethod | |
| FunctionOp.FunctionType | |
| LeftIndexingOp.LeftIndexingMethod | |
| OptimizerUtils.OptimizationLevel |
Optimization Types for Compilation
O0 STATIC - Decisions for scheduling operations on CP/MR are based on
predefined set of rules, which check if the dimensions are below a
fixed/static threshold (OLD Method of choosing between CP and MR).
|
| Exception | Description |
|---|---|
| HopsException |
Exception occurring in the HOP level.
|
Copyright © 2021 The Apache Software Foundation. All rights reserved.


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Programming Assignment 2 - Planning¶
Welcome to the Programming Assignment 2 for CSE 471 - Fall 2021.
This section will test your understanding of Planning as covered in the class.
Plagiarism Warning¶
Powerful copy-detection systems will be used as part of grading, so please DO NOT submit/use any piece of code that is not your own work. These systems can easily catch instances where users change variable names, etc. from copied code.
If you use any helper code, do not forget to cite it using comments inside the code.
If you are stuck at any point, you can approach the professor or TA for help.
As mentioned in class, please remember the academic integrity policy of this course.
Tasks¶
- [30 points] Complete the domain PDDL by completing the pick and move actions.
- [30 points] Complete the problem.pddl by writing the correct problem independent goal.
Extra Credit¶
- [10 points] Use universal and existential quantifiers to write the goal formula.
- [5 points] Send a video of Gazebo executing the task successfully for any one environment. The robot must pick and place at least 2 objects.
- [10 points] Improve the quality of the high-level plans and refinements by utilizing a different high-level planner (FF/different mode of FD) as well as changing the low-level search algorithm. You will be eligible for extra credit if the refinement is correct and the # of actions performed by the robot (in the low-level plan) is less than the solution that we have on file using the default configuration of the high-level planner and low-level search that is provided to you.
Please refer to instructions section to understand what these tasks mean and how to setup the environment. It also includes a number of tips that will significantly simplify your task. Follow the instructions strictly to ensure that your assignment can be graded by the auto-grader. Custom grading requests will not be entertained.
Late Submission and Grading Policy¶
- Please review the late submission policy provided in the syllabus on Canvas. It will be followed strictly so ensure that you submit the assignment on time.
- In order to get full points for Task 1, all the action descriptions should be correct. No partial points will be awarded if not all actions are right.
- In order to get full points for Task 2, your goal should be independent of the number of objects in the environment.
- Your final submitted code should run without any input or configuration from the graders. If any changes are required to get your submitted code to run, points will be deducted in a manner proportional to the number of changes needed. If you follow the instructions, your code will run without any inputs from the graders.
- The assignment will be graded on Ubuntu 18.04 machines setup with ROS Melodic, and Python 2.7. Use the setup from Programming Assignment 1 to ensure your code runs as intended with this configuration.
Instructions¶
Setting up the hw2 Folder¶
If you’re using the Virtual Machine file as instructed then it already contains the “hw2” directory. If not, we assume that you have downloaded and unzipped the “hw2.zip” file to the ~/catkin_ws/src folder.
Change permission of all scripts in the hw2 folder to make them executable.
chmod u+x ~/catkin_ws/src/hw2/scripts/*.py && chmod u+x ~/catkin_ws/src/hw2/*.sh
Change permission of env_setup.sh script and execute it using following commands. This script will copy the necessary files in respective folders. Please ensure that you have the turtlebot folder in ~/catkin_ws/src. If not, refer instructions from Programming Assignment 0 to get it.
chmod u+x ~/catkin_ws/src/hw2/env_setup.sh && ~/catkin_ws/src/hw2/env_setup.sh
Environment Setting¶
Environment 1 - bookWorld
Refer to the image below to see how a sample maze environment for bookWorld looks like. The turtleBot has a basket on top of it. There are 4 books. Each book has a subject type and a size. There are 4 destination bins lying around in the environment. Each bin can accept books of a particular subject type and a particular size.
Environment 2 - cafeWorld (also called as foodWorld) (Same as the one used in Programming Assignment 1)
The image below shows an example of the cafe environment that the turtlebot3 robot operates in. There are two foods and 4 tables.
Some of the terms that we use throughout the assignment for both the environments are:
Objects and Goals: In bookWorld, the objects are books, and the goals are bins. In cafeWorld, the objects are foods, and the goals are tables.
Types of Objects: In bookWorld, there are books of two subject types. In cafeWorld, there are foods of two food types.
Sizes of Objects and Goals: In bookWorld, there are books of two sizes - Large and Small, and bins of two sizes - Large and Small. In cafeWorld, there are foods of two sizes - Large and Small, and table of just one size.
Number of Object Types: The number of distinct object types can be either 1 or 2 in both environments.
Number of Objects: This is the total number of objects of each type and each size in an environment. For each object type, an object of each size is created. E.g. for subject1 type in bookWorld, two books (one Large, one Small) are generated. So total number of objects in an environment is number of object types * number of objects per object type * number of sizes of object. The number of sizes of object is fixed 2 for both the environments.
Number of Goals: The total number of goals generated is number of object types * number of sizes of object. E.g. For subject1 type in bookWorld, two bins (one Large, one Small) are generated as goals, and for a food type in cafeWorld, two tables are generated as goals.
Load Locations: Load locations are the locations of turtlebot from which it can pick up an object.
Note
Grid Size is not used explicitly in this homework. It is dependent on the number of books in bookWorld and unused with cafeWorld.
Completing domain files¶
Two domain files are expected to be solved for maximum score in this assignment. Both the domain files are provided to you (located at ~/catkin_ws/src/hw2/).
Contents of domain_bookWorld.pddl file:
(define (domain bookWorld)
(:requirements
:equality
:typing
:strips
)
(:types
robot
book
bin
location
subject
size
)
(:predicates
(Book_At ?a - book ?b - location)
(Bin_At ?a - bin ?b - location)
(Book_Subject ?a - book ?b - subject)
(Book_Size ?a - book ?b - size)
(Bin_Subject ?a - bin ?b - subject)
(Bin_Size ?a - bin ?b - size)
(Robot_At ?a - robot ?b - location)
(Empty_Basket ?a - robot)
(In_Basket ?b - book)
)
; Pick up a book from the location.
(:action pick
:parameters (?book - book ?bot - robot ?locbk - location)
:precondition (and
; ADD ALL PRECONDITIONS HERE
)
:effect (and
; ADD ALL EFFECTS HERE
)
)
; Place the book on the robot into the bin.
; The robot must be at the drop-off location, must be holding the book, and
; the book subject and size must match that of the bin.
(:action place
:parameters (?book - book ?bot - robot ?bin - bin ?locbn - location ?sizebn - size ?subbn - subject)
:precondition (and
(Robot_At ?bot ?locbn)
(not (Empty_Basket ?bot))
(Book_Size ?book ?sizebn)
(In_Basket ?book)
(Book_Subject ?book ?subbn)
(Bin_Size ?bin ?sizebn)
(Bin_At ?bin ?locbn)
(Bin_Subject ?bin ?subbn)
)
:effect (and
(Robot_At ?bot ?locbn)
(Empty_Basket ?bot)
(not (In_Basket ?book))
(Book_Size ?book ?sizebn)
(Book_At ?book ?locbn)
(Book_Subject ?book ?subbn)
(Bin_Size ?bin ?sizebn)
(Bin_At ?bin ?locbn)
(Bin_Subject ?bin ?subbn)
)
)
; Move the robot from one location to another.
(:action move
:parameters (?bot - robot ?oldloc - location ?newloc - location)
:precondition (and
; ADD ALL PRECONDITIONS HERE
)
:effect (and
; ADD ALL EFFECTS HERE
)
)
)
Contents of domain_cafeWorld.pddl file:
Note
foodWorld and cafeWorld refer to the same domain. foodWorld is used when using PDDL domain and PDDL problem, whereas, cafeWorld is used when using the environment through command line interface.
(define (domain foodWorld)
(:requirements
:equality
:typing
:strips
)
(:types
robot
food
table
location
food_type
size
)
(:predicates
(Food_At ?a - food ?b - location)
(Table_At ?a - table ?b - location)
(Food_Type ?a - food ?b - food_type)
(Robot_At ?a - robot ?b - location)
(Empty_Basket ?a - robot)
(In_Basket ?b - food)
(Ordered ?table - table ?food_type - food_type)
(Portion_Size ?food - food ?size - size)
(Ordered_Portion ?table - table ?size - size)
)
; Pick up a food from the location.
(:action pick
:parameters (?food - food ?bot - robot ?locbk - location)
:precondition (and
; ADD ALL PRECONDITIONS HERE
)
:effect (and
; ADD ALL EFFECTS HERE
)
)
; Place the food on the robot on the table.
; The robot must be at the drop-off location, must be holding the food, and
; the food type and size must match that of the table ordering the food.
(:action place
:parameters (?food - food ?bot - robot ?table - table ?locbn - location ?sizebn - size ?type - food_type)
:precondition (and
(Robot_At ?bot ?locbn)
(Portion_Size ?food ?sizebn)
(In_Basket ?food)
(Food_Type ?food ?type)
(Ordered_Portion ?table ?sizebn)
(Table_At ?table ?locbn)
(Ordered ?table ?type)
)
:effect (and
(Robot_At ?bot ?locbn)
(Empty_Basket ?bot)
(not (In_Basket ?food))
(Portion_Size ?food ?sizebn)
(Food_At ?food ?locbn)
)
)
; Move the robot from one location to another.
(:action move
:parameters (?bot - robot ?oldloc - location ?newloc - location)
:precondition (and
; ADD ALL PRECONDITIONS HERE
)
:effect (and
; ADD ALL EFFECTS HERE
)
)
)
Predicates¶
The following are the predicates for bookWorld:
Predicate Is true if (Book_At ?a - book ?b - location) book ?a is at location ?b (Bin_At ?a - bin ?b - location) bin ?a is at location ?b (Book_Subject ?a - book ?b - subject): subject of the book ?a is ?b (Book_Size ?a - book ?b - size): size of the book ?a is ?b (Bin_Subject ?a - bin ?b - subject): bin ?a stores objects of subject ?b (Bin_Size ?a - bin ?b - size): bin ?a stores objects of size ?b (Robot_At ?a - robot ?b - location): Robot ?a is at location ?b (Empty_Basket ?a - robot): the basket on top of robot ?a is empty (In_Basket ?b - book): the book ?b is in the basket
The following are the predicates for cafeWorld/foodWorld:
Predicate Is true if (Food_At ?a - food ?b - location) Food ?a is at location ?b (Table_At ?a - table ?b - location) Table ?a is at location ?b (Food_Type ?a - food ?b - food_type): Type of food ?a is ?b (Portion_Size ?food - food ?size - size): Portion size of the food ?food is ?size (Ordered ?table - table ?food_type - food_type): Table ?table ordered food of type ?food_type (Ordered_Portion ?table - table ?size - size): Table ?table ordered food portion of size ?size (Robot_At ?a - robot ?b - location): Robot ?a is at location ?b (Empty_Basket ?a - robot): the basket on top of robot ?a is empty (In_Basket ?b - food): the food ?b is in the basket
Actions¶
The following actions do the same tasks for both environments but handle different objects.
- Pick: The turtlebot can use this action to pick an object and place it into its basket. The capacity of the basket is only 1 object.
- Place: The turtlebot can use this action to place an object from its basket to a particular location in the environment.
- Move: The turtlebot can use this action to move around in the environment.
Your task is to complete the pick and move actions in the PDDL domains of both the environments using the predicates above. We have already filled in the list of parameters needed for each action. Think intuitively using the given parameters and determine what the preconditions will be and what the effects are using the action descriptions above.
Completing problem.pddl¶
Generate a new problem.pddl file for an environment by executing the following command. The problem.pddl will be generated at ~/catkin_ws/src/hw2. You can use -h to understand what each argument for refinement.py file means.
rosrun hw2 refinement.py --objtypes <number of object types> --objcount <number of objects per type> --seed <seed> --env <environment> --generate-only
For this high-level problem.pddl, a low-level environment is created for you to view in Gazebo. To view the environment, use the following command.
roslaunch hw2 maze.launch
Use ~/catkin_ws/src/hw2/hw2_kill.sh to cleanup the environment (like exiting Gazebo etc).
The generated problem.pddl file is incomplete yet as it does not have a goal condition. Open hw2_task.py located at ~/catkin_ws/src/hw2/scripts/ and complete the get_goal_string() method. Write code that produces a goal condition to place all the objects in the corresponding goal location. Take bookWorld for example, if the book B is of subject A, and its size is L, your goal condition must be written so that B is placed in a bin T whose subject is A and size is L.
Note
Hint for extra credit: Implement goal condition using first-order logic quantifiers.
You can change the parameters (the number of object types and number of objects per object type) in refinement.py to see how it changes the generated problem file.
Note
Your code must generate valid PDDL! Check out the Tips section below for some useful resources on PDDL. Also, review the PDDL tutorial again which can help prepare you for this task.
Checking correctness of PDDL files¶
You can use Fast Downward (FD) located at ~/catkin_ws/src/hw2/planners/FD/ to verify if your PDDL files correct. Once you have completed the domain PDDL and problem.pddl you can use a high-level planner to verify that a high level plan can be found.
Fast Downward¶
Setup FD: From the FD planner directory, run the build script to set up the planner before using it.
cd ./planners/FD ./build.py
Run FD. Ensure that you have updated goal in problem.pddl before running this command. This is an example for cafeWorld. Replace the PDDL name when running bookWorld.
./planners/FD/fast-downward.py domain_cafeWorld.pddl problem.pddl --search "lazy_greedy([ff()], preferred=[ff()])"
You can change the parameters given to FD. For its usage simply run fast-downward.py without any parameters. To get complete list of parameters pass -h as an argument.
$ ./planners/FD/fast-downward.py usage: fast-downward.py [-h] [--show-aliases] [--run-all] [--translate] [--search] [--translate-time-limit TRANSLATE_TIME_LIMIT] [--translate-memory-limit TRANSLATE_MEMORY_LIMIT] [--search-time-limit SEARCH_TIME_LIMIT] [--search-memory-limit SEARCH_MEMORY_LIMIT] [--validate-time-limit VALIDATE_TIME_LIMIT] [--validate-memory-limit VALIDATE_MEMORY_LIMIT] [--overall-time-limit OVERALL_TIME_LIMIT] [--overall-memory-limit OVERALL_MEMORY_LIMIT] [--alias ALIAS] [--build BUILD] [--debug] [--validate] [--log-level {debug,info,warning}] [--plan-file FILE] [--sas-file FILE] [--keep-sas-file] [--portfolio FILE] [--portfolio-bound VALUE] [--portfolio-single-plan] [--cleanup] INPUT_FILE1 [INPUT_FILE2] [COMPONENT_OPTION ...] fast-downward.py: error: translator needs one or two input files
If you do not get the help output above you might have an incorrect system configuration.
If your domain and problem files are syntactically correct, you will get a plan that can be easily viewed in the terminal.
Also, a correct domain and goal will lead to a correct refinement and the robot will successfully pick and place all objects in Gazebo.
Generating Refinements¶
For your task, you will use refinement.py to generate a new problem.pddl file which contains the initial state and objects that were already filled in along with the goal condition that you completed in hw2_task.py.
This step runs refinement.py without –generate-only and actually produces refinements that can be executed in Gazebo. Run rosrun hw2 refinement.py -h to get basic help. The seed is used to generate a random configuration of environment.
$ rosrun hw2 refinement.py -h usage: refinement.py [-h] [--objtypes OBJTYPES] [--objcount OBJCOUNT] [--seed SEED] [--generate-only] [--file-name FILE_NAME] [--clean] [--env ENV] optional arguments: -h, --help show this help message and exit --objtypes OBJTYPES No of object types --objcount OBJCOUNT The number of objects for each type in the environment. --seed SEED The random seed --generate-only Only generate a new problem file and exit. --file-name FILE_NAME Store results in <file> in the project root directory. --clean Cleanup the existing csv files --env ENV Choose environment b/w cafeWorld and bookWorld
In a terminal, run the following for each environment:
rosrun hw2 refinement.py --objtypes <number of object types> --objcount <number of objects per type> --seed <seed> --env <environment>
If your domain PDDL files and hw2_task.py are implemented correctly, this should run successfully without errors. If not, an exception message will be printed to the screen.
Note
It is possible that your implementation is correct but there are certain configurations of the environment where a high-level solution exists but a low-level refinement of high-level solution does not exist. This is because of robot’s constraints (it can not traverse close to the tables in cafeWorld). E.g. the tables are placed on opposite corners of a grid cell, then there is not enough space in between for the robot to pass (even if it looks like it can pass in the gazebo!).
If this happens, try running the previous rosrun hw2 refinement.py command with a different seed. You can use the configurations from submit.sh as they have been well tested to produce environments with valid solutions.
- You can view the high-level planner log found at ~/catkin_ws/src/hw2/planner_output.log to see the result of the high-level planner.
- Also, the results of your latest run can be found in the last line of ~/catkin_ws/src/hw2/results.csv
- Running rosrun hw2 refinement.py with –clean will clear the results.csv file or you can simply delete it.
Running Gazebo¶
Assuming you have a successful execution of refinement.py, a log of the environment and the refinement is created in ~/catkin_ws/src/hw2/results.csv
The latest run is always the last line of the file.
If you want to run the latest run of refinement.py, execute the following command.
rosrun hw2 gazebo.py --input-file ~/catkin_ws/src/hw2/results.csv
Alternatively, if you want to execute a specific run on Gazebo, use the following comamnd.
rosrun hw2 gazebo.py --input-file ~/catkin_ws/src/hw2/results.csv --line <line>
Note
If your domain PDDL and problem.pddl are not written correctly, you might see incorrect execution on Gazebo!
Submission Instructions¶
- Please run ~/catkin_ws/src/hw2/submit.sh to generate a submit.csv file in ~/catkin_ws/src/hw2/.
- Make sure that the file is present! If submit.sh has problems, there will be some output printed to the terminal screen, else it will be blank.
- Zip up the hw2 directory (7z a <asurite_ASU#>.zip ~/catkin_ws/src/hw2). Please strictly use this naming convention. An example name is jdoe_120444222.zip. Your assignment won’t be graded if the naming convention of the file is not followed.
- Submit on Gradescope.
Tips and Suggestions¶
- White space, incorrect parentheses are common problems when writing PDDL. The high-level planner can be used to quickly verify if your PDDL is valid or not. It will usually give a descriptive error message of what went wrong while parsing the PDDL.
- Review the PDDL tutorials and other resources for learning how to write PDDL.
- Test your implementation with smaller number of objects and smaller number of subjects to see if it works as expected. On a Gazebo execution, the robot must pick up all objects and place them in bins. Which bins are correct is a bit harder to check in Gazebo however a general indicator is it dropping objects in different bins. Your action preconditions must ensure this!
- If refinement of the move action fails, check visually on Gazebo if actually there is no refinement possible. This can provide hints as to whether your domain and problem are incorrectly written since the world generated is independent of the domain and problem file. You can always run gazebo.py after refinement.py to open a world view of the last problem generated.

- At times, the TurtleBot takes some time to perform an action, so wait for some time if no movement is visible.
- Not all problems have valid refinements, this is because the robot can only carry one book in the basket at a time.
- Even if refinement.py fails to generate any plan, it still writes the world to results.csv, you can run Gazebo to just view the world and get a visual idea of what the world looks like, but note that it will exit relatively quickly, so you can manually open Gazebo by typing roslaunch hw2 maze.launch.
- –generate-only also creates the world that can be easily viewed in Gazebo by using the instructions in the point above.
- You might need to recompile the planner provided if it does not execute on your system.
- Gazebo takes a while to load the environment for the first time. So if you see a black screen, do not worry!
- Check the discussion page on Canvas to see if the problem you are facing is already answered. If not, start a new discussion.
Resources¶
- A simple place to start would be PDDL Version 1.2 Manual.
- If you are looking for an exhaustive resource, you can refer An Introduction to the PDDL. This book is available on ASU’s Library.
- A collection of PDDL Domains and Problems is available on this Github Repository. You can use these domains and problems to familiarize yourself with how the high-level planners work.
- FastDownward homepage: http://www.fast-downward.org/
- FF and FD planners are located at ~/catkin_ws/src/hw2/planners/
API¶
This API only lists the part of code that you will have to use to complete this Homework and Extra Credit. You are free to explore the code by looking into each file separately, but do not change anything other than hw2_task.py, submit.sh, planner.py, domain PDDL files, and problem.pddl.
As a part of this assignment, you will only need to modify:
- hw2_task.py
- domain_cafeWorld.pddl
- domain_bookWorld.pddl
- problem.pddl
You may also need to modify the following:
- planner.py
Below is a list of some other utility files:
- submit.sh: Used to generate the submit.csv that you need for submitting this homework.
- hw2_kill.sh: Used to clean up the environment. Use this first if you face problems and errors.
- planner_output.log: View the results of the high-level FD planner after running refinement.py.
- problem.pddl.soln: If you’re using FF planner, the output is stored in this file.
Browse through the source code of the files above to get a better idea of the expectations.


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After defining the GenView, you must create the method that will handle
MSG_META_EXPOSED
sent by the view in order to draw in the view's window. This is absolutely necessary, even if your view is not scrollable; the view will send
MSG_META_EXPOSED
when any part of its display window becomes invalid--this includes when the view is first instantiated and its window is first displayed.
In this simple model,
MSG_META_EXPOSED
is the only message your application will need to handle relating to the view. If you are managing large documents, then you may also have to handle a few others pertaining primarily to input. A sample handler for
MSG_META_EXPOSED
--one you can modify and put in your own code--is shown in MSG_META_EXPOSED Handler
.
If you are planning on displaying visible objects in the view (as opposed to having your Process object draw graphics), you should instead pay attention to
MSG_VIS_DRAW
. This message is defined by
VisClass
and is sent by a VisContent object to itself as the default behavior for
MSG_META_EXPOSED
. For full information on
MSG_VIS_DRAW
and visible objects, see the VisClass chapter.
Code Display 9-2 MSG_META_EXPOSED Handler
/* Each time some part of the view window becomes invalid, the view will send a * MSG_META_EXPOSED to its content object. When MSG_META_EXPOSED is received, * the content must draw the document to a newly-created GState, then pass the * GState to the windowing system for drawing to the screen. */
/* The format of this message is * void MSG_META_EXPOSED(WindowHandle win); * The passed value is the window handle of the view window; it will be used in * conjunction with the temporary GState for drawing. */
@method MyProcessClass, MSG_META_EXPOSED { /* Set up a temporary GState handle variable for our document. */ GStateHandle tempGState;
/* Initialize the GState to the default. */ tempGState = GrCreateState(win);
/* Now start a window update. The routine GrBeginUpdate() notifies the window * system that we are in the process of drawing in the region in the window * that was invalidated. GrBeginUpdate() allows drawing to be clipped to only * the region that was invalidated. */
GrBeginUpdate(tempGState);
/* Now that we have a GState and have notified the windowing system that we * intend to draw, we can draw our document. Here, your method should call * whatever routines are appropriate for drawing the entire document. * A good hint here relates also to printing: Because printing and drawing to a * view are essentially the same operation, you might want to consolidate all * your drawing into a single routine that is called by both this method and * your printing method. This is what is done here; the routine called * MyDrawingRoutine() draws the document we wish displayed. MyDrawingRoutine() * will also be called by our printing method with a different GState. */
MyDrawingRoutine(tempGState);
/* Now that we have finished drawing the document, we must inform the window * system that we are done. Additionally, we must now destroy the temporary * GState we used to draw the document. This is essential as not destroying * gstates causes small locked blocks to remain on the heap, eroding system * performance quickly and eventually making the system run out of handles. */
GrEndUpdate(tempGState); GrDestroyState(tempGState); }


No Israeli government involvement in alleged NSO-WhatsApp hack: minister
JERUSALEM (Reuters) - The Israeli government on Friday denied any involvement in an alleged cyber- hack by Israeli surveillance firm NSO Group.
Distancing Prime Minister Benjamin Netanyahu’s government from the alleged attempts to send malware to the mobile devices of a number of Whatsapp users, Israeli security cabinet minister Zeev Elkin said that if anyone had done anything “forbidden” they could expect to find themselves in court.
“NSO is a private player using capabilities that Israelis have, thousands of people are in the cyber field, but there is no Israeli government involvement here, everyone understands that, this is not about the state of Israel,” Elkin told 102.FM Tel Aviv Radio.
On Tuesday, WhatsApp sued NSO Group accusing it of helping government spies break into the phones of roughly 1,400 users across four continents in a hacking spree whose targets included diplomats, political dissidents, journalists and senior government officials.
The Facebook-owned software giant alleges that NSO Group built and sold a hacking platform that exploited a flaw in WhatsApp-owned servers to help clients hack into the cellphones of at least 1,400 users between April 29, 2019, and May 10, 2019.
On Thursday Reuters reported that senior government officials in many U.S.-allied countries were targeted earlier this year with hacking software that used WhatsApp to take over users’ phones, according to people familiar with the messaging company’s investigation.
NSO has denied the allegations “in the strongest possible terms,” saying it would fight them “vigorously.”
WhatsApp is used by 1.5 billion people monthly and has often touted a high level of security, including end-to-end encrypted messages that cannot be deciphered by WhatsApp or other third parties.
In his radio interview Elkin said “I don’t see any political fallout from this incident.”
He added: “It is true that when people do things that are forbidden - I have no way of determining whether they did indeed do anything forbidden - then the justice system here and in other countries will throw the book at them.


Tea Time
Tea Time is a JavaScript-based interactive clock that suggests a type of tea based on the time of the day. Users can input custom tea times or click on the "Thirs-tea?" button for a special drink suggestion.
Tea Time is a JavaScript-based interactive clock that suggests a type of tea based on the time of the day. Users can input custom tea times or click on the "Thirs-tea?" button for a special drink suggestion.
Nexus Voyage is a space travel website concept that is coded with HTML and CSS. It is fully responsive across mobile, tablet and desktop devices.
Kopikaw is a coffee shop concept. It features a full brand identity and landing page design to help the brand launch its grand opening.
Sit Conmigo is an ethical, sustainable chair company concept. It is a one-page website that features desktop, tablet and mobile designs.
Rogue Pickings is a sample page for a food truck company. It features a responsive one-page site coded using HTML and CSS.
Designed and coded by Hanis


§803-8 Weapons on person arrested. He who makes an arrest may take from the party arrested all offensive weapons which he may have about his person, and shall deliver them to the magistrate, to be disposed of according to law. [PC 1869, c 49, §8; RL 1925, §3974; RL 1935, §5407; RL 1945, §10708; RL 1955, §255-8; HRS §708-8; ren L 1972, c 9, pt of §1]
Cross References
See Const. art. I, §7.
Case Notes
See 9 H. 522 (1894).


Crux
Crux is the programming and computing club of BPHC. It’s a go to place for
anyone in campus regardless of their branch to come and showcase their love for coding. Crux
organises workshops, events, coding contests and summer class throughout the year to improve the
coding culture of the campus.
A high level of discipline is expected from the members and as a result, the club ends up with a
significant amount of highly skilled people in their respective fields. The club strives to
improve everyday and learn new things constantly. Being part of Crux is not gonna be an easy
ride, but it’s a rewarding experience.
Are you interested in competitive coding, web development, app development, game development or
machine learning? This is the club for you! This list doesn’t cover your field of interest? The
club is always looking to expand it’s horizons and learn something new from what you can bring
to the club.
Head: Samkit Jain
mail<EMAIL_ADDRESS>Whatsapp:<PHONE_NUMBER>
Mobile:<PHONE_NUMBER>


You can reach out to us by filling out the form on this page. Please double check that your email address is accurate before submitting. I look forward to hearing from you.


Pairing is Caring
Well at this point, I've paired close to 10 times in either a pairing session or GPS. I must say, the experience is much more enjoyable than I anticipated on the whole. Like anything, there are people that I click with a bit more. I think it's because our thinking styles are similar. Before I got deep into pairing I thought opposite styles would work, but I'm finding this isn't the case. You might ask how do I know I have a different thinking style from some people... I just review their week 3 blog post, which is super helpful for pairing prep or to understand how a session was derailed.
There are a few people where we've paired together 3 times and we definitely have a flow now. We know how to push each other and nudge each other along to great solutions. The most rewarding pairing experience so far has been to implementing a piece of code that neither one of thought we were capable of doing, but wait their is more... We refactored it so well our mother's would be proud - Yes, it so clear our non-programming mother's could read our code.
I find both giving and receiving feedback to be rewarding. Giving feedback is an opportunity for me to help someone hone their craft and receiving feedback is an opportunity for me to hone mine. The most helpful feedback I have received has been around speaking up when I have questions or something isn't tracking along - this will help ensure I fully understand the code and topic at hand.
When writing feedback I rarely encounter issues around making it specific and kind. At times, I do struggle with actionable feedback, because some of my pairs are truly great. Since we've found what works we pair with each once a week or so. So, I have a pair that is completely new once a week and one that is an unknown each week. For me this works. It gives me the consistency I enjoy balanced with a bit of variety. I have to admit when I pair with someone new, I am a bit anxious at first.  Luckily, to date everyone has been good or great.


Counting Density
The counting density describes the number of data on a certain test area, (Counting calotte). the method was introduced by W. Schmidt (1925).
In this plot contour lines are drawn between areas of increasing counting densities.


Please check your internet connection and try again.
I am about to update!
Guga
news
Powered by
newsapi.org


This system is to generate weekly report automatically. If you have any question, you can ask me.  Just enjoy it :)
2015-1-20 增加了样机借出记录表
Created by 小笨 junyong.shen2014-5-18 in Guangzhou


Introduction
Hello, welcome to my website, I am Mohammad AlKhatib, a civil egineer, and software development student.
I graduated from the university of Jordan, then worked for several local and international companies, met a lot of awsome people and made some core relations.
My previous work included (but not limited to) design, drawing, supervision, quality control, and testing materials.
A New Challenge
After a lot of thinking, I believed I have something to do better than site works in engineering, I am kind of a mental person who loves to think, solve problems, read, and experience new stuff.
Programming is an industry that grows so rapidly, makes you feel updated about what is going in the world, easy to find resources and contact professinals.
One of the major causes I chose programming that it will help you manage your day and life. you can have time for your hobbies, exercise, and it is a promising career when we consider its income.
I hope at the end of my journey I will reach my goal, and I wish I find support from ASAC, friends, and family


WebAssembly Compiler
View on GitHub
Compile
Compiler binary
Test source code
Compile
Test binary
Memory dump
Execute
Result:


Ursa
Tips
- Earthshock is ridiculously good slow that gets little respect. Please skill it, it's nearly as good as
Brewmaster's clap.
- You consume Overpower stacks on denial attacks.
- The duration on Overpower is 5 seconds longer than the cooldown. Meaning that before you go in for a
gank or into Rosh, you should cast Overpower well in advance so the second cast is already in the
chamber when you need it.
- When laning, try to keep Fury Swipe stacks up like you would Batrider's Sticky Napalm, especially
against melee heroes. Ursa has very high base armor, so he can take abuse quite well.
- Ursa has probably the most flexible item options of any AGI carry in the game (yes, he's AGI). Really
the only item he 'needs' is Vlad's/Morbid Mask, the rest situational. Any pair of boots can work,
Blink or Shadow Blade/Silver Edge are good for initiation, Halberd can be great for manfights against
bashlords, hell even Sheepstick or Eul's are great if you don't need anything else.
- Roshing for Dummies: Get Vlad's (or just a Morbid Mask if you're feeling saucy), get Smoke, cast Smoke,
TP to nearest tower, cast Overpower, wait a couple of seconds, run into the Rosh pit, chop Rosh, cast
Overpower again immediately, UHHUHAUAHUAH IMMORTALITY.
- Take the time to check runes during the laning phase as Ursa. Getting a Haste rune is basically an all
expenses paid trip to first blood.
- Enrage purges you when you cast it. Use it to wipe off DoTs, or slows, or blinds, or ensnares. If you get an
Agh, you can also cast it to wipe off stuns.

- If you're too lazy to do that, then alt+click on the clock or enable 'Current Time' in your chat
wheel.
Counters
- Ursa has no stuns, so keep your finger on the TP when you see him moseying on down towards you.
- You really need at least one Force Staff on your team against Ursa, preferably more. After that, Eul's,
Sheep, and Ghost Scepter are all good support items against Ursa.
- Keep eyes in and on the Rosh pit when you know it's up. If you have a spell that can give you lasting
vision inside the pit (Techies mines, TA traps), get one in before his first Rosh.
- Good carry items against Ursa are Basher/Abyssal, Manta, Halberd, and sometimes Ethereal Blade.
- Ursa can purge himself with Enrage, heroes with unpurgeable abilities like Invoker's Deafening Blast,
Viper's Viper Strike, or Bloodseeker's Rupture quite useful. Enrage also can't
purge off the Heaven's Halberd disarm.
- You can purge Overpower stacks off of Ursa, making heroes like Shadow Demon or Oracle fairly
good.
- Be wary of Level 1 Rosh attempts when Wraith King, Lone Druid, Vengeful Spirit, or Io are on Ursa's
team.


"Pleasure, Passion and Purpose" For every individual these three "P"s are the most important aspect of thier lives and they represent the happiness of one's self. "pleasure is liked with instant feeling of satisfaction or gratification" and we all strive for that some or other time. when you look at the three "P"(Pleasure)this one is the shortest lived. As soon as the source of pleasure goes away our happiness drops. This will you bring us to think about the other "p" which is passion where one has this intense desire or enthusiasm for something. when we are in the flow of passion we are completely immersed in what we do and don't even realise how time has pass by. and absolutly passion can last longer than Pleasure. But Our journey dose not end here, We all strive for inner peace and something which is beyond our minds. And thats when we start discovering the third "P" which is our Purpose in this life. It is the “highest” form of happiness and also the longest lasting. It is the feeling of true love and happiness in our life. It is the feeling of being part of something bigger than yourself. We all have purpose in our lives, It's just the matter of finding one.
Talking about the values:- We all have our core values and some of mine are: 1) Family is the most important. 2) Honesty and Trust 3) Commitment 4) Compassion 5) Respect 6) Perserverance 7) Positivity 8) Education 9) Open-mindedness these are some of the main values of me and my family and there are some more. I stand for all my core values.
The resilience ideas and meditaion excercise.. I feel this will summerize for me in the following metaphore.. “If you have access to a deep inner calm in your mind, then no matter the ups and downs of day-to-day life, you can always be resilient. Nothing can get you down for a prolonged period of time because every time something beats you down, you can always rest and recover in that ” Excerpt From: Tan, Chade-Meng.


Basic commands
- Y
- Copy line.
- P
- Paste before current line.
- p
- Paste.
- /textToSearch
- Search.
- n
- Go to the next match.
- N
- Go to previous match.
- rL
- Replace next character with 'L'.
- :%s/search/replace/gc
- Search and Replace.
- :w
- Write changes (Save).
- :q
- Quit.
- i
- insert text mode.
- o
- create a new line and enable insert text mode.
- :set hlsearch
- high light text search.
- :set incsearch
- It enables searching while typing.
- 12G
- Go to line 12.
- gg
- Go to the top of the file.
- G
- Go to the end of the file.
- :cd path
- Change the working directory. Files can now be opened with relative paths. Use TAB and arrows to autocomplete directory names.
- :pwd
- Shows the working directory.
- :e .
- List working directory files and folders.
- :e file-name
- Opens the file.
- dd
- Delete line.
- u
- Revert changes.
- v
- Select text.
- V
- Select Lines.
- d
- Delete selected text.
- c
- Delete selected text and go into Insert mode.
- :b file-name
- Switch to buffer (try TAB and arrows as well).
- :bp
- Previous buffer.
- h
- Move one character to the left.
- l
- Move one character to the right.
- j
- Move one line upward.
- k
- Move one line down.
Windows
- ctrl-w s
- Split window horizontally.
- ctrl-w v
- Split vertically.
- ctrl-w j
- Move focus down.
- ctrl-w k
- Move focus up.
- ctrl-w j
- Move buffer up one window.
- ctrl-w k
- Move buffer down one window.
- ctrl-w c
- Close window.
- ctrl-w o
- Close all but current.
- ctrl-w w
- Cycle focus.
- ctrl-w p
- Focus previous window.
Indent
- gg=G
- Indent entire file.
- Vjj>
- Indent mutiple lines.
Line number
- :set number
- Show line numbers.
- :highlight LineNr ctermfg=grey
- Change line numbers color.
- :set cursorline
- Show current line.
Plugins
Typescript Syntax for Vim
https://github.com/leafgarland/typescript-vim
git clone https://github.com/leafgarland/typescript-vim.git ~/.vim/bundle/typescript-vim
Tsuquyomi: Make your Vim a TypeScript IDE.
https://github.com/Quramy/tsuquyomi
# Install and compile procvim.vim
git clone https://github.com/Shougo/vimproc.vim.git ~/.vim/bundle/vimproc.vim
cd ~/.vim/bundle/vimproc.vim
make
popd
# Install tsuquyomi
git clone https://github.com/Quramy/tsuquyomi.git ~/.vim/bundle/tsuquyomi


Watch Live: Secretary of Veterans Affairs Robert Wilkie Hosts a Press Briefing | Breitbart
Secretary of Veterans Affairs Robert Wilkie will hold a press briefing on Friday ahead of Veterans’ Day next week.
by Charlie SpieringThe event is scheduled to begin at 9:00 a.m.


Using a read-only query as a page data source is as easy as a view. All you need is to provide a valid SELECT statement and define key columns, if they are not determined automatically.
You can find an example of a quite complex read-only queries in our Schema Browser Demo.


|
|
Release 0.1 beta (5962) 20 November 2008
- Bugfixes/Improvements
- New feature: Can read finite element meshes produced with Gmsh using
the new --gmsh switch for the nmeshimport tool. (5924)
- Added more regression tests
- Fixed bug that stopped simulations where two magnetic materials
(each defined as a different region in the mesh) touch each other
(5886)
- Fixed bug that didn't allow to have different (potentially
unrelated) simulation objects in the same nmag-program (5956)
- Fixed bug that (sometimes) stopped the --restart mechanism
to continue interrupted hysteresis loop calculations (5907)
- Fixed bug that prevented sim.get_subfield_positions and
sim.get_subfield_sites() from working. (5933)
Release 0.1 beta (5878) 13 October 2008
Bugfixes/Improvements
- bugfix: reinitialisation used to reset the stage_time and stage_step
counters. This is now fixed and is done explicitly in the hysteresis method.
This functionality is needed to study systems where the applied field
changes in time (5848).
- bugfix: allow from source compilation on (K)Ubuntu 8.04. The bug is
with the Petsc library 2.3.2. We have upgraded the Petsc library to
2.3.3 in the compile from source installation, which resolves the
problem (5851).
- bugfix: reading Gambit meshes works without warnings (5852).
- bugfix: A missing .petsc file in the user's home directory
resulted in an error message when nsim was started. This did create
the missing file, so all is fine the next time nsim is
called. Revision (5853) fixes this.
- Improvement: Split hysteresis example in tutorial into two
examples. The first can be used to play around with thecommand andto
quickly complete a simulation. The second allows to compare the
resulting hysteresis loop with an analytical prediction (5876).
- minor improvements in makefile for installation from source (5859).
Interface changes
None.
Release 0.1 beta (5834) 2 September 2008
Release 0.1 beta (5787) 8 August 2008
- Bugfixes/Improvements/New Features
- We have a new distribution mode using VMWare's vmplayer. This is
particularly attractive to MS Windows users. This is at a very
early stage and and we invite feedback from early adaptors (see
installation Method D).
- Updated the Knoppix CD to the most recent version (installation Method C).
Also included Netgen, a mesh generator, in the CD image.
- ncol can now process OOMMF's odt files (use --odt switch)
- Bugfix: the previous debian package could only execute on CPUs with sse2 extension.
- Bugfix: fixed embarrassing bug that appeared with the last release
(printing of applied field brakes when first component is zero).
- Interface change
- removed support for thermal fluctuations. There appeared to be no
up-take of this feature, and maintaining this (while developing the
code further, parallelising it and making faster and leaner) was
unnecessarily binding resources.
Release 0.1 beta (5734) 1 August 2008
Release 0.1 beta (5531) 2 June 2008
Release 0.1 beta (5282) 5 February 2008
- Interface changes
- Have changed version of petsc in tarball distribution. Used to be
2.3.1 and is now 2.3.2. (to be consistent with debian
packages). Users who have older tarballs, need to obtain a new
tarball to update (updating the nsim-core is not sufficient).
- Bug fixes/Improvements
- The change in the petsc version increases the setup phase
significantly (for installations from source).
Release 0.1 beta (5274) 3 February 2008
- As 0.1 beta (5259) but with working debian package.
Release 0.1 beta (5259) 30 January 2008
Bug fixes/Improvements
- ticket 126: Calculation of exchange energy, demag energy, Zeeman
energy and total energy had wrong sign; now working correctly.
- increased speed of setup phase slightly.
- decreased memory usage for runs with anisotropy.
Interface changes
- Have changed version of mpich in tarball distribution. Used to be
mpich2.0 but is mpich1.0 from now on (to be consistent with debian
packages). Users who have older tarballs and want to use MPI
execution, need to obtain a new tarball to update (updating the
nsim-core is not sufficient).
New features
None
Note: there is no debian package for this release.
Release 0.1 beta (4947) 20 December 2007
Bug fixes/Improvements
- resolved ticket 101: Setting
anisotropy=nmag.uniaxial_anisotropy(K1=0) in MagMaterial produces
an error message;
- resolved ticket 103: When starting from a zero torque configuration the simulation
proceeds up to the maximum time (which is 1 s) and here it stops:
now an appropriate error message is displayed.
- resolved ticket 97: Unrecognised architecture causes compilation failure in the
bem3d module: now the architecture flag will be empty if the architecture
detection fails.
- reduced setup speed by approximately a factor 2
- added new section on sundials tolerances in manual (guided tour)
Interface changes
None.
New features
- Writing sundials performance data in log file (_cvode.log)
Release 0.1 beta (5274) 3 February 2008
- As 0.1 beta (5259) but with working debian package.
Release 0.1 beta (5259) 30 January 2008
Bug fixes/Improvements
- ticket 126: Calculation of exchange energy, demag energy, Zeeman
energy and total energy had wrong sign; now working correctly.
- increased speed of setup phase slightly.
- decreased memory usage for runs with anisotropy.
Interface changes
- Have changed version of mpich in tarball distribution. Used to be
mpich2.0 but is mpich1.0 from now on (to be consistent with debian
packages). Users who have older tarballs and want to use MPI
execution, need to obtain a new tarball to update (updating the
nsim-core is not sufficient).
New features
None
Note: there is no debian package for this release.
Release 0.1 beta (4947) 20 December 2007
Bug fixes/Improvements
- resolved ticket 101: Setting
anisotropy=nmag.uniaxial_anisotropy(K1=0) in MagMaterial produces
an error message;
- resolved ticket 103: When starting from a zero torque configuration the simulation
proceeds up to the maximum time (which is 1 s) and here it stops:
now an appropriate error message is displayed.
- resolved ticket 97: Unrecognised architecture causes compilation failure in the
bem3d module: now the architecture flag will be empty if the architecture
detection fails.
- reduced setup speed by approximately a factor 2
- added new section on sundials tolerances in manual (guided tour)
Interface changes
None.
New features
- Writing sundials performance data in log file (_cvode.log)
Release 0.1 beta (4785) 27 November 2007
Bug fixes/Improvements
- improved renderening of bitmaps (figures and equations) in html
documentation
- install from tar ball was broken (pkgs in wrong directory)
Interface changes
None.
New features
- added mini tutorial on micromagnetic simulations to manual
- new tool nmeshsort
Release 0.1 beta (4625) 02 November 2007
First release.
|


Next: get-internal-real-time, Previous: time, Up: Environment Dictionary
A positive integer, the magnitude of which is implementation-dependent.
The number of internal time units in one second.
get-internal-run-time, get-internal-real-time
These units form the basis of the Internal Time format representation.


Oakland takes on Toledo
by EndPlayTOLEDO, Ohio - Oakland (4-3) vs. Toledo (4-2)
Savage Arena, Toledo, Ohio; Saturday, 7 p.m. EST
BOTTOM LINE: Oakland visits Toledo in a non-conference matchup. Oakland came up short in a 74-50 game at Northern Illinois on Monday. Toledo is coming off a 100-41 win at home over Northwestern Ohio on Saturday.
BIG MEN ON CAMPUS: Toledo's Marreon Jackson has averaged 18 points, 7.3 assists and two steals while Luke Knapke has put up 14.8 points, 8.7 rebounds and 2.3 blocks. For the Golden Grizzlies, Xavier Hill-Mais has averaged 13.9 points and 7.7 rebounds while Daniel Oladapo has put up 11.9 points and 7.7 rebounds.
CREATING OFFENSE: Hill-Mais has either made or assisted on 44 percent of all Oakland field goals over the last three games. The senior forward has accounted for 18 field goals and six assists in those games.
STREAK SCORING: Toledo has won its last three home games, scoring an average of 94 points while giving up 55.
ACCOUNTING FOR ASSISTS: The Rockets have recently converted baskets via assists more often than the Golden Grizzlies. Toledo has an assist on 54 of 95 field goals (56.8 percent) across its past three outings while Oakland has assists on 27 of 54 field goals (50 percent) during its past three games.
DID YOU KNOW: The Toledo offense is ranked 10th in the nation by scoring 86.2 points per game this season. Oakland has only averaged 63.3 points per game, which ranks 219th.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


Challenge 01: Booleans and If Statements
- Create program that calculates size of clothing based on a child's age
- Create variable age and give it number value
- First condition: If age is 7 or lower the output would be: "Age is {age as a number} and clothing size is 0 - 122cm"
- Second condition: If age is 8 the output would be: "Age is {age as a number} and clothing size is 122cm - 134cm"
- Third condition: If age is 9 or higher the output would be: "Age is {age as a number} and clothing size is 134cm+"
Example:
let age = 12
if (age <= 7) {
console.log('Age is ' + age + ' and clothing size is 0 - 122cm')
}
if (age === 8) {
console.log('Age is ' + age + ' and clothing size is 122cm - 134cm')
}
if (age >= 9) {
console.log('Age is ' + age + ' and clothing size is 134cm+')
}
// Output will be: "Age is 12 and correct size is 134cm+"
Back Home


I get asked all the time “What ORM should I use?” I typically answer the person with some spaghetti types/talks which of course runs counter to the DRY principle. To help get away from that, I’ll hash out some of my typical responses below. One thing to keep in mind when reading, is that all of the ORMs mentioned below are really good choices. I’m “picking” one per situation as a way of helping someone avoid the paradox of choice.
“Should I hand-roll my DAL?”
No. Unless you just want an academic/code exercise. The libraries I’ll mention in this post are already built, tested, fast and easy to use. If you are serious about building your application, don’t waste time reinventing this wheel.
“I don’t fear dynamics and I want something easy or rapid prototyping”
Massive – This ORM is simple to use, completely gets out of my way and lets me get right to building.
“I don’t fear dynamics and I want some codefirst action”
Oak – One of my coding heroes Amir Rajan has gone and taken everything good about ActiveRecord and melded it with Massive.
“I want POCOs, an old school feel and Stored Procs”
Dapper – When you need uncompromised speed and ease, Dapper is your tool. The Stackoverflow team uses it and that is one heck of a merit badge.
“I want POCOs with some codefirst action”
OrmLite – ORMLite is a Post-CRUD augmentation to Dapper. In some ways, it is to Dapper what Oak is to Massive. Coded in awesome, covered in love.
“I’m using ServiceStack or planning to”
OrmLite – This one is kind of obvious as OrmLite is part of the ServiceStack family.
“I am a huge fan of T4 and code gen”
PetaPoco – PetaPoco is pretty fun regardless of your needs. If you are already pretty invested in T4 then this is for sure a love connection.
“I want POCOs and I might be doing some MongoDB in my app”
Simple.Data – I have personally not used this one yet, but I always hear wonderful things about it.
“My boss says we just have to use something ~Enterprisey~”
Use OrmLite and tell them it is a MS ADO.NET CPT Gen2 Release of EntityFramework with Enhanced Cloud Coverage™ and Synergized Mix-ins™.
While all these ORMs are pretty easy to use, you should always be doing yourself/your app (and of course your DBA) a favor and profile your DAL. I highly recommend ORMProfiler. I think it supports most if not all of the above ORMs, has a low cost, and you get a ton of information from it.


Clustering Algorithms: the example of \(k\)-means¶
All of PCA, kernel-PCA and t-SNE may or may not deliver a visualization of the dataset, where clusters emerge. They all leave it to the observer to identify these possible clusters. In this section, we want to introduce an algorithm that actually clusters data, i.e., it will sort any data point into one of \(k\) clusters. Here the desired number of clusters \(k\) is fixed a priori by us. This is a weakness but may be compensated by running the algorithm with different values of \(k\) and asses where the performance is best.
We will exemplify a simple clustering algorithm that goes by the name \(k\)-means. The algorithm is iterative. The key idea is that data points are assigned to clusters such that the squared distances between the data points belonging to one cluster and the centroid of the cluster is minimized. The centroid is defined as the arithmetic mean of all data points in a cluster.
This description already suggests, that we will again minimize a loss function (or maximize an expectation function, which just differs in the overall sign from the loss function). Suppose we are given an assignment of datapoints \(\mathbf{x}_i\) to clusters \(j=1,\cdots, k\) that is represented by
Then the loss function is given by
where
Naturally, we want to minimize the loss function with respect to the assignment \(w_{ij}\). However, a change in this assignment also changes \(\mathbf{\mu}_j\). For this reason, it is natural to divide each update step in two parts. The first part updates the \(w_{ij}\) according to
That means we attach each data point to the nearest cluster centroid. The second part is a recalculation of the centroids according to Eq. (7).
The algorithm is initialized by choosing at random \(k\) distinct data points as initial positions of the centroids. Then one repeats the above two-part steps until convergence, i.e., until the \(w_{ij}\) do not change anymore.
In this algorithm we use the Euclidean distance measure \(||\cdot ||\). It is advisable to standardize the data such that each feature has mean zero and standard deviation of one when average over all data points. Otherwise (if some features are overall numerically smaller than others), the differences in various features may be weighted very differently by the algorithm.
Furthermore, the results depend on the initialization. One should re-run the algorithm with a few different initializations to avoid running into bad local minima.
Applications of \(k\)-means are manifold: in economy they include marked segmentation, in science any classification problem such as that of phases of matter, document clustering, image compression (color reduction), etc.. In general it helps to build intuition about the data at hand.


The recipe is algorithm used by jsreport to convert the output of templating engines into desired format. Every report template needs to specify exactly one recipe from many of them provided by jsreport. Specifying the chrome-pdf recipe will for example create pdf report using html to pdf conversion. Using html-to-xlsx on the other hand produces excel file.
jsreport usually supports various recipes for particular output type. This is because every recipe has its pros and cons. It is recommended to compare multiple recipes and decide which fits the most for the particular case. You can find useful also pdf recipes comparison in the dedicated article here.


The Phoenix is a mythological bird known throughout all cultures and all ages. When it dies, the bird bursts into flames and is reborn from its own ashes, making it immortal. Each life is said to be between 500 and 1000 years. Crimson and gold accent most depictions of this majestic creature, although other colors such as blue or purple are often included. With the attractiveness of a peacock and the size of an eagle, this bird symbolizes beauty and strength. The Phoenix's cry is considered to be a beautiful sound much like an elegant song. Through its beauty and unusual death, the Phoenix has come to be a symbol of immortality, renewal, and rebirth.
For more information about this creature visit this page.


--- title: A new RStudio addin to facilitate inserting tables in Rmarkdown documents author: Lorenzo Busetto date: '2018-04-01' slug: a-new-rstudio-addin-to-facilitate-inserting-tables-in-rmarkdown-documents categories: - R - blogdown tags: - R - blogdown - rmarkdown - RStudio - addin header: caption: '' image: '' ---
In the last months, I started increasingly using Rmd
documents for preparing scientific reports, blog posts, etcetera. While I really like the flexibility offered by the system, one thing that I thought could be improved is the support for easily inserting tables. So, “inspired” also by the recent addition of the excellent insert image
addin in blogdown
, I decided to give it a go and try to implement some kind of addin to facilitate table insertion in Rmd
documents.
After struggling a bit due to my rather nonexistent shiny skills, in the end I managed to obtain a “basic but useful” (IMO) addin. Let’s see how it works:
You can install the addin from GitHub with:
# install.packages("devtools")
devtools::install_github("lbusett/insert_table")
Upon installing, inserttable
registers a new RStudio Addin (Insert Table)
that can be used to easily insert a table in a Rmd
document. To use it, open a Rmd
document and, with the cursor within a r
chunk and select “Addins –> Insert Table”.
There are two main use modes:
In this case, a GUI will open allowing you to select the desired output format (
kableExtra
, DT
and rhandsontable
are currently implemented), and to edit the content of the table. After clicking Done the Addin will add in the Rmd
document the code needed to generate the table in a nice tribble
format (thanks to Miles McBain’s datapasta
package!) to allow easier editing, and also the code needed to render it with the selected output format using some
default options, as can be seen below:
A useful feature is that, for larger tables, you can also cut and paste content from a spreadsheet :
Obviously, rendering of the table can be tweaked further by changing/adding arguments of the rendering functions in the automatically generated code.
In this case, the GUI allows you to select only the desired output format (
it is assumed that the variable you select corresponds to a data frame
or similar
object containing the data you wish to show as table). After clicking Done
the Addin will add in the Rmd
document the code needed to render the selected variable as a table with the selected output format. The code will be added at the first empty line below that containing the name of the selected variable.
IMPORTANT NOTE: inserttable
will make no effort to guarantee that the
variable you select is a data.frame
. It is up to you to select a meaningful
variable!
You can also use (part of) inserttable
functionality from the console by calling
function insert_table()
.
> insert_table(tbl_name = "table_1", nrows = 4, ncols = 4, tbl_format = "DT")
The function will return to the console the code needed to create a empty table of the specified dimensions and render it with the selected format:
####That’s all!.
I hope someone else will find this useful!


Helvetia:
You are so careless! You lost the antidote?! Well, since you already paid me, I suppose I'll give it to you again -- just this once, you understand.


×
Wallet
KYC
Issue
Dashboard
Logout
☰
Congratulations. Enter your
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to see your wallet on the Belrium Network
Show Wallet


Renderer
open class Renderer : NSObject
AumentKit’s main Metal based render.
-
When set, the monitor gets notified of render status changes.
Declaration
Swift
public var monitor: RenderMonitor?
-
Device orientation. Changing this parameter while the renderer is running triggers a recalculation of the target view port.
Declaration
Swift
public var orientation: UIInterfaceOrientation { get set }
-
Constants
Declaration
Swift
public enum Constants
-
State of the renderer
See moreDeclaration
Swift
public enum RendererState
-
State of surface detection. Many features of AugmentKit rely on the AR engine to have detected at least one surface so monitoring surface dettection state gives a good indication of the readyness of the render to perform AR calculations reliably
See moreDeclaration
Swift
public enum SurfaceDetectionState
-
Current renderer state
Declaration
Swift
public fileprivate(set) var state: Renderer.RendererState { get set }
-
At least one surface has been detected. Many features of AugmentKit rely on the AR engine to have detected at least one surface so monitoring this property gives a good indication of the readyness of the render to perform AR calculations reliably
Declaration
Swift
public fileprivate(set) var hasDetectedSurfaces: Bool { get set }
-
The ARKit session
Declaration
Swift
public let session: ARSession
-
The Metal device
Declaration
Swift
public let device: MTLDevice
-
The bundle from which texture assets will be loaded.
Declaration
Swift
public let textureBundle: Bundle
-
A
ModelProvider
instance which helps with loading and caching of modelsDeclaration
Swift
public var modelProvider: ModelProvider?
-
This
RenderDelegate
will get callbacks for errors or interruptions of AR trackingDeclaration
Swift
public var delegate: RenderDelegate?
-
Guides for debugging. Turning this on will show the tracking points used by ARKit as well as detected surfaces. Setting this to true might affect performance.
Declaration
Swift
public var options: RenderOptions { get set }
-
If provided, this world map is used during initialization of the ARKit engine
Declaration
Swift
public var worldMap: ARWorldMap?
-
A transform matrix that represents the current position of the camera in world space. There is no rotation component.
Declaration
Swift
public fileprivate(set) var currentCameraPositionTransform: matrix_float4x4?
-
A transform matrix that represents the current rotation of the camera relative to world space. There is no postion component.
Declaration
Swift
public var currentCameraRotation: matrix_float4x4? { get }
-
A Quaternion that represents the current rotation of the camera relative to world space. There is no postion component.
Declaration
Swift
public fileprivate(set) var currentCameraQuaternionRotation: simd_quatf?
-
The current device’s heading. A heading is the degrees, in radians around the Y axis. 0° is due north and the units go from 0 to π in the counter-clockwise direction and 0 to -π in the clockwise direction.
Declaration
Swift
public fileprivate(set) var currentCameraHeading: Double?
-
The anchor the ARKit has identified as the ground.
Declaration
Swift
public fileprivate(set) var groundPlaneAnchor: ARPlaneAnchor?
-
Undocumented
Declaration
Swift
public var currentFrameNumber: UInt { get }
-
Fixed to 60
Declaration
Swift
public var frameRate: Double { get }
-
A transform that represents the intersection of the current devices gaze (what is dead center in front of it) and the closes detected surface.
Declaration
Swift
public var currentGazeTransform: matrix_float4x4 { get }
-
Initialize the renderer with an
ARSession
, aMTLDevice
, aRenderDestinationProvider
, and aBundle
Declaration
Swift
public init(session: ARSession, metalDevice device: MTLDevice, renderDestination: RenderDestinationProvider, textureBundle: Bundle)
Parameters
session
an ARKit session
metalDevice
A metal device (GPU)
renderDestination
Provides the drawable that the renderer will render to.
textureBundle
The default bundle whe texture assets will attempt to load from
-
Call when the viewport size changes tell the renderer to readjust
Declaration
Swift
public func drawRectResized(size: CGSize)
-
Initialize Metal and the render pipeline.
Declaration
Swift
public func initialize()
-
Start the AR session and begin AR tracking
Declaration
Swift
public func run()
-
Pause the AR session and AR tracking
Declaration
Swift
public func pause()
-
Reset the AR session and AR tracking
Declaration
Swift
public func reset(options: ARSession.RunOptions = [.removeExistingAnchors, .resetTracking])
-
Begins a render pass. This method is usually called once per frame.
Declaration
Swift
public func update()
-
Add a new AKAugmentedAnchor to the AR world
Declaration
Swift
public func add(akAnchor: AKAugmentedAnchor)
Parameters
akAnchor
The anchor to add
-
Add a new AKAugmentedTracker to the AR world
Declaration
Swift
public func add(akTracker: AKAugmentedTracker)
Parameters
akTracker
The tracker to add
-
Add a new path to the AR world
Declaration
Swift
public func add(akPath: AKPath)
Parameters
akPath
The path to add
-
Add a new gaze target to the AR world
Declaration
Swift
public func add(gazeTarget: GazeTarget)
Parameters
gazeTarget
The gaze target to add
-
Remove a new AKAugmentedAnchor to the AR world
Declaration
Swift
public func remove(akAnchor: AKAugmentedAnchor)
Parameters
akAnchor
The anchor to remove
-
Remove a new AKAugmentedTracker to the AR world
Declaration
Swift
public func remove(akTracker: AKAugmentedTracker)
Parameters
akTracker
The tracker to remove
-
Remove a new path to the AR world
Declaration
Swift
public func remove(akPath: AKPath)
Parameters
akPath
The path to remove
-
Remove a new gaze target to the AR world
Declaration
Swift
public func remove(gazeTarget: GazeTarget)
Parameters
gazeTarget
The gaze target to remove


Bootstr p is open-source html,css and javaaScript code to design the front-end. By using this technology we can create a responsive web pages.
Bootstr p is open-source html,css and javaaScript code to design the front-end. By using this technology we can create a responsive web pages.
Bootstr p is open-source html,css and javaaScript code to design the front-end. By using this technology we can create a responsive web pages.


{include file=member.submenu.html}
{include file=member.header.html} {$images_upload} {$editor_upload} {$build_editor}


Interested in Contributing?
- Check out available resources.
- Create an account and start submitting your own systems.
Scored Systems
| System | Submitter | System Notes | Constraint | Run Notes | BLEU | BLEU (11b) | BLEU-cased | BLEU-cased (11b) | TER | z BLEU-cased-norm | zz BEER 2.0 | zzz CharactTER |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| uedin-nmt-ensemble (Details) | rsennrich University of Edinburgh |
BPE neural MT system with monolingual training data (back-translated). ensemble of 4 L2R and 4 R2L models. | yes |
36.5 |
36.5 |
35.1 |
35.1 |
0.524 |
35.2 |
0.620 |
0.489 |
|
| KIT primary (Details) | eunah.cho KIT |
yes |
36.1 |
36.1 |
34.6 |
34.6 |
failed |
34.6 |
0.618 |
0.492 |
||
| LIUM-NMTPY-Ensemble of 6 systems (Details) | fbougares LIUM, University of Le Mans |
Ensemble of 6 different NMT systems (post-deadline) | yes |
35.2 |
35.2 |
33.9 |
33.9 |
0.538 |
34.0 |
0.614 |
0.500 |
|
| uedin-nmt-single (Details) | rsennrich University of Edinburgh |
BPE neural MT system with monolingual training data (back-translated). single model. (contrastive) | yes |
34.7 |
34.7 |
33.5 |
33.5 |
0.537 |
33.6 |
0.611 |
0.501 |
|
| RWTH NMT (Details) | jtp RWTH Aachen University |
Ensemble of 4 using backtranslated data and BPE | yes |
34.5 |
34.5 |
33.1 |
33.1 |
0.542 |
33.2 |
failed |
failed |
|
| SYSTRAN-single (Details) | jmcrego SYSTRAN |
OpenNMT + BPE + backtranslated monolingual data + hyperspecialization | yes |
34.3 |
34.3 |
33.2 |
33.2 |
0.529 |
33.2 |
0.612 |
0.505 |
|
| Fascha (Details) | Fascha University of Regensburg |
no |
33.7 |
33.7 |
32.5 |
32.5 |
0.539 |
32.6 |
0.609 |
0.515 |
||
| RWTH NMT single (Details) | jtp RWTH Aachen University |
NMT using backtranslated data and BPE | yes |
33.7 |
33.7 |
32.2 |
32.2 |
0.548 |
32.3 |
0.605 |
0.511 |
|
| uedin-nmt-2016 (Details) | rsennrich University of Edinburgh |
single system of WMT16 (uedin-nmt-single). Contrastive. | yes |
32.4 |
32.4 |
31.1 |
31.1 |
0.556 |
31.2 |
0.599 |
0.520 |
|
| RWTH Phrasal JTR Decoder w/ attention-based NMT (Details) | guta RWTH Aachen University |
Phrasal Decoder using a count-based LM, wcLM and JTR model, NMT system used in rescoring | yes |
32.4 |
32.4 |
31.0 |
31.0 |
0.576 |
31.1 |
0.596 |
0.526 |
|
| RWTH Phrasal JTR Decoder w/ attention-based and alignment-based NMT (Details) | guta RWTH Aachen University |
Phrasal Decoder using a count-based LM and JTR model + NMT system and alignment-based neural models used in rescoring. | yes |
32.3 |
32.3 |
30.9 |
30.9 |
0.577 |
31.0 |
0.597 |
0.526 |
|
| lium-nmt-ensemble (Details) | fbougares LIUM, University of Le Mans |
Ensemble of 2 NMT models without backtranslation | yes |
31.5 |
31.5 |
30.1 |
30.1 |
0.575 |
30.2 |
failed |
failed |
|
| C-3MA (Details) | mphi Uni. Tartu/Riga/Zurich |
Nematus + filtered monolingual back-translated data + NE forcing + ngram deduplication | yes | NeuralMonkey + filtered monolingual back-translated data + NE forcing + ngram deduplication |
30.2 |
30.2 |
29.0 |
29.0 |
0.575 |
29.1 |
failed |
failed |
| TALP-UPC (Details) | cescolano TALP-UPC |
Character to character nmt system with additional monolingual training data (backtranslated). | yes | Character to character nmt system with extra bilingual corpus. |
29.3 |
29.3 |
28.1 |
28.1 |
0.582 |
28.1 |
0.586 |
0.540 |
| BaseNematusDeEn (Details) | m4t1ss University of Latvia |
yes | This should be right |
28.4 |
28.4 |
27.2 |
27.2 |
0.611 |
27.3 |
0.571 |
0.567 |
|
| ParFDA (Details) | bicici |
de-en ParFDA Moses phrase-based SMT system | yes | de-en (after the deadline) |
27.3 |
27.3 |
26.1 |
26.1 |
0.634 |
26.2 |
0.567 |
0.595 |


Brief guide on how to use the API.
This application provides API which includes fetching lists of Countries,Continents,States etc in the form of json response. Only Get requests are accepted by this API. To use the API, you must be authenticated using the token provided at the dashboard.
https://vishnusayanth-django-app.herokuapp.com/api/continents/
Get the list of all countries Sample responsehttps://vishnusayanth-django-app.herokuapp.com/api/countries/
Get the list of states in country with id 1 Sample responsehttps://vishnusayanth-django-app.herokuapp.com/api/states/1
Get the list of countries in continent with id 1 Sample responsehttps://vishnusayanth-django-app.herokuapp.com/api/countries_in_continent/1
Get the capital of country with id 1 Sample responsehttps://vishnusayanth-django-app.herokuapp.com/api/capital/1
import requests
url =
'https://vishnusayanth-django-app.herokuapp.com/api/continents/'
headers = {'Authorization':'Token <your_api_token_here>'}
response =
requests.get(url=url,headers=headers)
jsonData = response.json()
# Play around with jsonData
<html>
<head>
<script src="
< jQuery_source_url_here >"></script>
<script>
let url =
'https://vishnusayanth-django-app.herokuapp.com/api/countries/';
let headers =
{'Authorization': 'Token
<your_api_token_here>'};
$(document).ready(function
() {
$.ajax({
type:
"GET",
dataType:
"json",
headers:
headers,
url:
url,
success:
function (data) {
$.each(data.countries,
function (i, item)
{
let
opt_string = '<option value=' + item.name +
'>'
+ item.name + '</option>'
$('#mySelect').append(opt_string);
});
}
});
});
</script>
</head>
<body>
<select id="mySelect">
<option value="">Select
Country</option>
</select>
</body>
</html>
Check out what's possible on this application.
This is a hobby project developed by Vishnu Sayanth, deployed on Heroku platform. This application has a public API that can be used to get data on geographic locations like countries,continents & states etc. Below given are the things possible on this applciation.
Technologies & Tools used to build this app.
This application is built using the Python
framework, Django.
The front end is developed using HTML5, CSS3 & Javascript and
Python is used as the backend, obviously.
Jquery & AJAX are used for asynchronous tasks
such as sending emails and other stuff.
The CSS framework Bootstrap
is used to style the front end of the application.
Locations API is developed using Django REST framework
which accesses data in a PostgreSQL database.
API provided by Spotify & data scraped off of
Google News is also utilised in this application.
The application is versioned and deployed using the continuous deployment provided
by Heroku & GitHub.
The source code of this application can be found here.


Taliban releases 2 kidnapped American University of Afghanistan professors
by Abigail Williams and Mushtaq Yusufzai and Ahmed Mengli and Saphora SmithWASHINGTON — The Taliban has freed two Western hostages, American Kevin King and Australian Timothy Weeks, after holding them in captivity for more than three years, an American official and the prime minister of neighboring Pakistan said Tuesday.
A U.S. official with knowledge of the release said the American University of Kabul professors, who were kidnapped at gunpoint in August 2016, were in the hands of the Americans. Their health was being evaluated and the two were being debriefed, added the official who was not authorized to speak to the media on the subject.
"We appreciate steps taken by all involved to make it possible," Prime Minister Imran Khan said via Twitter. "As part of the international community working to bring peace and end the suffering of the Afghan people, Pakistan has fully supported and facilitated this release as part of its policy of supporting initiatives for a negotiated political settlement of the Afghan conflict."
Taliban sources said the two hostages had been handed over in Zabul province, on the border with Pakistan.
On Nov. 12, Afghan President Ashraf Ghani announced a deal to release the two hostages in exchange for three Taliban members.
According to the Taliban, Anas Haqqani, Haji Maali Khan and Hafiz Rasheed Ahamd Omari have also been released.
Abigail Williams reported from Washington; Ahmed Mengli reported from Kabul; Mushtaq Yusufzai from Peshawar, Pakistan; and Saphora Smith from London.


'br}
'br}
{\
cpan - easily interact with CPAN from the command line
# with arguments and no switches, installs specified modules cpan module_name [ module_name ... ]
# with switches, installs modules with extra behavior cpan [-cfgimtTw] module_name [ module_name ... ]
# with just the dot, install from the distribution in the # current directory cpan .
# without arguments, starts CPAN.pm shell cpan
# dump the configuration cpan -J
# load a different configuration to install Module::Foo cpan -j some/other/file Module::Foo
# without arguments, but some switches cpan [-ahrvACDlLO]
This script provides a command interface (not a shell) to s-1CPAN.s0 At the moment it uses s-1CPANs0.pm to do the work, but it is not a one-shot command runner for s-1CPANs0.pm.
Creates a s-1CPANs0.pm autobundle with CPAN::Shell->autobundle.
Shows the primary maintainers for the specified modules.
Runs a `make clean` in the specified module's directories.
Show the Changes files for the specified modules
Show the module details.
Force the specified action, when it normally would have failed. Use this to install a module even if its tests fail. When you use this option, -i is not optional for installing a module when you need to force it:
% cpan -f -i Module::Foo
Turn off s-1CPANs0.pm's attempts to lock anything. You should be careful with this since you might end up with multiple scripts trying to muck in the same directory. This isn't so much of a concern if you're loading a special config with f(CW*(C`-j*(C', and that config sets up its own work directories.
Downloads to the current directory the latest distribution of the module.
s-1UNIMPLEMENTEDs0
Download to the current directory the latest distribution of the modules, unpack each distribution, and create a git repository for each distribution.
If you want this feature, check out Yanick Champoux's f(CW*(C`Git::CPAN::Patch*(C' distribution.
Print a help message and exit. When you specify f(CW*(C`-h*(C', it ignores all of the other options and arguments.
Install the specified modules.
Load f(CW*(C`local::lib*(C' (think like f(CW*(C`-I*(C' for loading lib paths).
Load the file that has the s-1CPANs0 configuration data. This should have the same format as the standard CPAN/Config.pm file, which defines f(CW$CPAN::Config as an anonymous hash.
Dump the configuration in the same format that s-1CPANs0.pm uses. This is useful for checking the configuration as well as using the dump as a starting point for a new, custom configuration.
List all installed modules with their versions
List the modules by the specified authors.
Make the specified modules.
Show the out-of-date modules.
Ping the configured mirrors
Find the best mirrors you could be using (but doesn't configure them just yet)
Recompiles dynamically loaded modules with CPAN::Shell->recompile.
Run a `make test` on the specified modules.
Do not test modules. Simply install them.
Upgrade all installed modules. Blindly doing this can really break things, so keep a backup.
Print the script version and s-1CPANs0.pm version then exit.
Print detailed information about the cpan client.
s-1UNIMPLEMENTEDs0
Turn on cpan warnings. This checks various things, like directory permissions, and tells you about problems you might have.
# print a help message cpan -h
# print the version numbers cpan -v
# create an autobundle cpan -a
# recompile modules cpan -r
# upgrade all installed modules cpan -u
# install modules ( sole -i is optional ) cpan -i Netscape::Booksmarks Business::ISBN
# force install modules ( must use -i ) cpan -fi CGI::Minimal URI
f(CW*(C`cpan*(C' splits this variable on whitespace and prepends that list to f(CW@ARGV before it processes the command-line arguments. For instance, if you always want to use f(CW*(C`local:lib*(C', you can set f(CW*(C`CPAN_OPTS*(C' to f(CW*(C`-I*(C'.
The script exits with zero if it thinks that everything worked, or a positive number if it thinks that something failed. Note, however, that in some cases it has to divine a failure by the output of things it does not control. For now, the exit codes are vague:
1 An unknown error
2 The was an external problem
4 There was an internal problem with the script
8 A module failed to install
* one shot configuration values from the command line
Most behaviour, including environment variables and configuration, comes directly from s-1CPANs0.pm.
This code is in Github:
git://github.com/briandfoy/cpan_script.git
Japheth Cleaver added the bits to allow a forced install (-f).
Jim Brandt suggest and provided the initial implementation for the up-to-date and Changes features.
Adam Kennedy pointed out that exit() causes problems on Windows where this script ends up with a .bat extension
brian d foy, f(CW*(C`<bdfoy@cpan.org>*(C'
Copyright (c) 2001-2013, brian d foy, All Rights Reserved.
You may redistribute this under the same terms as Perl itself.


Amazon.com, Inc.[8] (/ˈæməzɒn/ AM-ə-zon) is an American multinational technology company which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook.[9][10][11][12] The company has been referred to as "one of the most influential economic and cultural forces in the world", as well as the world's most valuable brand.[13][14]
Jeff Bezos founded Amazon from his garage in Bellevue, Washington,[15] on July 5, 1994. It started as an online marketplace for books but expanded to sell electronics, software, video games, apparel, furniture, food, toys, and jewelry. In 2015, Amazon surpassed Walmart as the most valuable retailer in the United States by market capitalization.[16] In 2017, Amazon acquired Whole Foods Market for US$13.4 billion, which substantially increased its footprint as a physical retailer.[17] In 2018, its two-day delivery service, Amazon Prime, surpassed 100 million subscribers worldwide.[18]
Amazon is known for its disruption of well-established industries through technological innovation and mass scale.[19][20][21] It is the world's largest online marketplace, AI assistant provider, live-streaming platform and cloud computing platform[22] as measured by revenue and market capitalization.[23] Amazon is the largest Internet company by revenue in the world.[24] It is the second largest private employer in the United States[25] and one of the world's most valuable companies. As of 2020, Amazon has the highest global brand valuation.[26]


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Installing the NOOK Color TM SDK
NOOK Color runs the Android 2.2 Operating System and works seamlessly with the Android SDK (API Level 8). Barnes & Noble provides an Android SDK add-on (NOOK SDK 1.2) to help you get started developing applications for NOOK Color.
The NOOK SDK 1.2 contains the following components:
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Android Virtual Device (AVD) Emulator
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Android Debug Bridge (ADB) configuration settings
The NOOK SDK 1.2 Android add-on uses the Android SDK and AVD Manager to perform the installation.
How To Install The NOOK SDK 1.2 Android Add-On:
-
Ensure that the Android SDK version 2.2 is installed on your machine:
developer.android.com/sdk/installing.html. -
Navigate to the <android-sdk> tools directory.
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Execute the *Android& *tool command with no options: $ android
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In the Android SDK and AVD Manager left panel, Available Packages.
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Click Add Add-on Site.
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Enter the URL for the NOOK Color add-on SDK:
*http://su.barnesandnoble.com/nook/sdk/addon.xml* -
Click OK.
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Click the check box for the URL that you just entered.
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Click Install Selected.
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Accept the License Agreement and click Install.


Max B. Grove
Leadership Experience
This page is currently under construction. Please see my Resumé for more information on my leadership experience.
This page is currently under construction. Please see my Resumé for more information on my leadership experience.


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ArUco Unity
1.2.0
OpenCV's ArUco Marker Detection module adapted for Unity 5.
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Describes an ArUco grid board. More...
Inherits ArucoUnity.Objects.ArucoBoard.
Public Member Functions | |
| override Cv.Mat | Draw () |
| Returns the image of the ArUco object. In editor it should returns null and no exception if the object is incorrectly configured. More... | |
| override string | GenerateName () |
| Returns a generated name depending on the value of the properties. More... | |
Static Public Member Functions | |
| static int | GetArucoHashCode (int markersNumberX, int markersNumberY, float markerSideLength, float markerSeparation) |
| Computes the hash code of a grid board. More... | |
Protected Member Functions | |
| override void | AdjustGameObjectScale () |
| Adjusts the scale to MarkerSideLength length. More... | |
| override void | UpdateArucoHashCode () |
| Updates the ArUco hash code of the object. More... | |
| override void | UpdateBoard () |
| Updates the Board properties. More... | |
| Protected Member Functions inherited from ArucoUnity.Objects.ArucoBoard | |
| override void | Awake () |
| Calls UpdateBoard. More... | |
| override void | UpdateProperties () |
| Calls ArucoObject.OnPropertyUpdated and calls UpdateBoard. More... | |
| Protected Member Functions inherited from ArucoUnity.Objects.ArucoObject | |
| virtual void | OnValidate () |
| Calls OnPropertyUpdated() in editor mode. More... | |
| void | OnPropertyUpdating () |
| Calls the event PropertyUpdating. More... | |
| void | OnPropertyUpdated () |
| Calls UpdateProperties and the PropertyUpdated event. More... | |
| int | GetInPixels (float propertyValue) |
| Returns a value as an int, with a conversion from meters to pixels if the property value is less than 10. More... | |
Properties | |
| int | MarkersNumberX [get, set] |
| Gets or sets the number of markers in the X direction. More... | |
| int | MarkersNumberY [get, set] |
| Gets or sets the number of markers in the Y direction. More... | |
| float | MarkerSeparation [get, set] |
| Gets or sets the separation between two consecutive markers in the grid. In pixels for Creators. In meters for Trackers and Calibrators. More... | |
| int | MarkersUsedForEstimation [get, set] |
| Gets or sets the number of markers employed by the tracker the last frame for the estimation of the transform of the board. More... | |
| Properties inherited from ArucoUnity.Objects.ArucoBoard | |
| int | MarginsLength [get, set] |
| Gets or sets the length of the margins around the board in pixels, used by the Creators (default: 0). More... | |
| Vector2 | ImageSize [get, protected set] |
| Gets or sets the image size for drawing the board. More... | |
| Aruco.Board | Board [get, protected set] |
| Gets or sets the associated board from the ArucoUnity plugin library. More... | |
| float | AxisLength [get, protected set] |
| Gets or sets the length of the axis lines when drawn on the board. More... | |
| Cv.Vec3d | Rvec [get, set] |
| Gets or sets the estimated rotation vector of the board when tracked. More... | |
| Cv.Vec3d | Tvec [get, set] |
| Gets or sets the estimated translation vector of the board when tracked. More... | |
| Properties inherited from ArucoUnity.Objects.ArucoObject | |
| int | ArucoHashCode [get, protected set] |
| Aruco.Dictionary | Dictionary [get, set] |
| Gets or sets the dictionary to use. More... | |
| float | MarkerSideLength [get, set] |
| Gets or sets the side length of each marker. In pixels for Creators. In meters for Trackers and Calibrators. More... | |
| uint | MarkerBorderBits [get, set] |
| Gets or sets the number of bits in marker borders (default: 1). Used by Creators. More... | |
| bool | DisplayInEditor [get, set] |
Additional Inherited Members | |
| Protected Attributes inherited from ArucoUnity.Objects.ArucoObject | |
| const float | metersToPixels300ppp = 100f * 300f / 2.54f |
| Events inherited from ArucoUnity.Objects.ArucoObject | |
| Action< ArucoObject > | PropertyUpdating = delegate { } |
| Executed before a property is going to be updated. More... | |
| Action< ArucoObject > | PropertyUpdated = delegate { } |
| Executed after a property has been updated. More... | |
Describes an ArUco grid board.
|
inlineprotectedvirtual |
Adjusts the scale to MarkerSideLength length.
Implements ArucoUnity.Objects.ArucoObject.
|
inlinevirtual |
Returns the image of the ArUco object. In editor it should returns null and no exception if the object is incorrectly configured.
Implements ArucoUnity.Objects.ArucoObject.
|
inlinevirtual |
Returns a generated name depending on the value of the properties.
Implements ArucoUnity.Objects.ArucoObject.
|
inlinestatic |
Computes the hash code of a grid board.
| markersNumberX | The number of markers in the X direction. |
| markersNumberY | The number of markers in the Y direction. |
| markerSideLength | The side length of each marker. |
| markerSeparation | The separation between two consecutive markers in the grid. |
|
inlineprotectedvirtual |
Updates the ArUco hash code of the object.
Implements ArucoUnity.Objects.ArucoObject.
|
inlineprotectedvirtual |
Updates the Board properties.
Implements ArucoUnity.Objects.ArucoBoard.
|
getset |
Gets or sets the separation between two consecutive markers in the grid. In pixels for Creators. In meters for Trackers and Calibrators.
|
getset |
Gets or sets the number of markers in the X direction.
|
getset |
Gets or sets the number of markers in the Y direction.
|
getset |
Gets or sets the number of markers employed by the tracker the last frame for the estimation of the transform of the board.


--- layout: default team: pentelements image1: egg.jpg members: - name: Victor Lamm image: jose_sq.jpg title: Communication guy desc: Played, Coached, and Worked in communication in the tennis industry. Also worked in equestrian sports. Lived 6 years in the US (4 years in California and 2 years in New York) country: France fun: Mix between Ben Stiller and Borat ---
We’re the pentelements: each of us has a special talent/skill (Jens the german consulting powerhouse, Lola the international iconic artist, Wen Jie the Singaporian strategic thinker, Nikhil the Indian business guru, and Victor the French communication god) and as a whole we form the pentelement, a.k.a the best team in section, hence the best team ever.
{{ member.desc }}
Country: {{ member.country }}
Fun Fact: {{ member.fun }}


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{% comment %} This is only used for the rare occasions we want to include a Scrobble as a "media" item, rather than a table. Possibly only on the overall home page (core/templates/ditto/includes/item_list.html). Doesn't get used in the lastfm app itself. Expects: * scrobble -- A Scrobble object. {% endcomment %}
{% if view != 'detail' %}{% endif %} {% load ditto_core %} Scrobbled at {% if view == 'day' %} {% display_time scrobble.post_time link_to_day=False %} {% else %} {% display_time scrobble.post_time link_to_day=True %} {% endif %} {% if perms.lastfm.can_change_scrobble %} • Edit {% endif %} {% if view != 'detail' %}{% endif %}


{% extends "base.html" %} {% load static from staticfiles %} {% block title %}{{ object.name }} Facility Report{% endblock title %} {% block extra-js %} {% endblock extra-js %} {% block content %}
We do not yet have any responses from patients for {{ clinic.name }}. Please try again later!
Number of patients with this service who reported this feedback.
| {{ min_date|date:"F j, Y" }} - {{ max_date|date:"F j, Y" }} | Open Facility | Respectful Staff Treatment |
Clean Hospital Materials |
Charged Fairly | Most Common Wait Time (hrs) |
|---|---|---|---|---|---|
| {{ service.name }} | {% for result, total_respondents in service_data %} {% if result == None %}N/A (0) | {% else %}{{ result }} ({{ total_respondents }}) | {% endif %} {% endfor %}
| Date | Comments | ||||
|---|---|---|---|---|---|
| {{ comment_group.grouper|upper }} | |||||
| {{ comment.datetime|date:"d/m/Y" }} | {{ comment.response }} |
| Date | Comments | ||||
|---|---|---|---|---|---|
| {{ comment_group.grouper|upper }} |
| Date | Comments |
|---|---|
| {{ comment.datetime|date:"d/m/Y" }} | {{ comment.response }} |