|
b2
|
#include <b2Fixture.h>
Public Member Functions | |
| b2Shape::Type | GetType () const |
| b2Shape * | GetShape () |
| const b2Shape * | GetShape () const |
| void | SetSensor (bool sensor) |
| Set if this fixture is a sensor. | |
| bool | IsSensor () const |
| void | SetFilterData (const b2Filter &filter) |
| const b2Filter & | GetFilterData () const |
| Get the contact filtering data. | |
| void | Refilter () |
| Call this if you want to establish collision that was previously disabled by b2ContactFilter::ShouldCollide. | |
| b2Body * | GetBody () |
| const b2Body * | GetBody () const |
| b2Fixture * | GetNext () |
| const b2Fixture * | GetNext () const |
| void * | GetUserData () const |
| void | SetUserData (void *data) |
| Set the user data. Use this to store your application specific data. | |
| bool | TestPoint (const b2Vec2 &p) const |
| bool | RayCast (b2RayCastOutput *output, const b2RayCastInput &input, int32 childIndex) const |
| void | GetMassData (b2MassData *massData) const |
| void | SetDensity (float32 density) |
| float32 | GetDensity () const |
| Get the density of this fixture. | |
| float32 | GetFriction () const |
| Get the coefficient of friction. | |
| void | SetFriction (float32 friction) |
| float32 | GetRestitution () const |
| Get the coefficient of restitution. | |
| void | SetRestitution (float32 restitution) |
| const b2AABB & | GetAABB (int32 childIndex) const |
| void | Dump (int32 bodyIndex) |
| Dump this fixture to the log file. | |
Protected Member Functions | |
| void | Create (b2BlockAllocator *allocator, b2Body *body, const b2FixtureDef *def) |
| void | Destroy (b2BlockAllocator *allocator) |
| void | CreateProxies (b2BroadPhase *broadPhase, const b2Transform &xf) |
| void | DestroyProxies (b2BroadPhase *broadPhase) |
| void | Synchronize (b2BroadPhase *broadPhase, const b2Transform &xf1, const b2Transform &xf2) |
Protected Attributes | |
| float32 | m_density |
| b2Fixture * | m_next |
| b2Body * | m_body |
| b2Shape * | m_shape |
| float32 | m_friction |
| float32 | m_restitution |
| b2FixtureProxy * | m_proxies |
| int32 | m_proxyCount |
| b2Filter | m_filter |
| bool | m_isSensor |
| void * | m_userData |
Friends | |
| class | b2Body |
| class | b2World |
| class | b2Contact |
| class | b2ContactManager |
A fixture is used to attach a shape to a body for collision detection. A fixture inherits its transform from its parent. Fixtures hold additional non-geometric data such as friction, collision filters, etc. Fixtures are created via b2Body::CreateFixture.
|
inline |
Get the fixture's AABB. This AABB may be enlarge and/or stale. If you need a more accurate AABB, compute it using the shape and the body transform.
|
inline |
Get the parent body of this fixture. This is nullptr if the fixture is not attached.
|
inline |
Get the mass data for this fixture. The mass data is based on the density and the shape. The rotational inertia is about the shape's origin. This operation may be expensive.
|
inline |
Get the next fixture in the parent body's fixture list.
|
inline |
Get the child shape. You can modify the child shape, however you should not change the number of vertices because this will crash some collision caching mechanisms. Manipulating the shape may lead to non-physical behavior.
|
inline |
Get the type of the child shape. You can use this to down cast to the concrete shape.
|
inline |
Get the user data that was assigned in the fixture definition. Use this to store your application specific data.
|
inline |
Is this fixture a sensor (non-solid)?
|
inline |
Cast a ray against this shape.
| output | the ray-cast results. |
| input | the ray-cast input parameters. |
|
inline |
Set the density of this fixture. This will not automatically adjust the mass of the body. You must call b2Body::ResetMassData to update the body's mass.
| void b2Fixture::SetFilterData | ( | const b2Filter & | filter | ) |
Set the contact filtering data. This will not update contacts until the next time step when either parent body is active and awake. This automatically calls Refilter.
|
inline |
Set the coefficient of friction. This will not change the friction of existing contacts.
|
inline |
Set the coefficient of restitution. This will not change the restitution of existing contacts.
|
inline |
Test a point for containment in this fixture.
| p | a point in world coordinates. |


---
fulltitle: Love for Bulma 😍
layout: default
route: love
breadcrumb:
- home
- love
tweets:
- id: "900692286744535041"
date: "2:12 PM - 24 Aug 2017"
content: 'So impressed with the speed and clarity of implementing #bulma CSS framework on a new project. Kudos @jgthms'
fullname: "Jamie Hylands"
username: "JamieAHylands"
avatar: "https://pbs.twimg.com/profile_images/872757791236272128/31VmJF-L_normal.jpg"
hearts: "1"
retweets: "0"
---
{% include global/navbar.html id="Love" %}
{% include components/breadcrumb.html %}
Love
{{ site.data.love.tweets_by_id | size }} happy thoughts from Twitter 😃
{% include elements/carbon.html %}
Are you a Bulma fan too? Show your support!🤗
{% include elements/tw-button.html label="Tweet #bulmaio" %}
{% for tweet_pair in site.data.love.tweets_by_id reversed %}
{% assign tweet_id = tweet_pair[0] %}
{% include elements/tw.html tweet_id=tweet_id %}
{% endfor %}


1.1. Data Structures and Algorithms¶
1.1.1. Data Structures and Algorithms¶
<IP_ADDRESS>. Introduction¶
How many cities with more than 250,000 people lie within 500 miles of Dallas, Texas? How many people in my company make over $100,000 per year? Can we connect all of our telephone customers with less than 1,000 miles of cable? To answer questions like these, it is not enough to have the necessary information. We must organize that information in a way that allows us to find the answers in time to satisfy our needs.
Representing information is fundamental to computer science. The primary purpose of most computer programs is not to perform calculations, but to store and retrieve information—usually as fast as possible. For this reason, the study of data structures and the algorithms that manipulate them is at the heart of computer science. And that is what this book is about—helping you to understand how to structure information to support efficient processing.
Any course on Data Structures and Algorithms will try to teach you about three things:
It will present a collection of commonly used data structures and algorithms. These form a programmer’s basic “toolkit”. For many problems, some data structure or algorithm in the toolkit will provide a good solution. We focus on data structures and algorithms that have proven over time to be most useful.
It will introduce the idea of tradeoffs, and reinforce the concept that there are costs and benefits associated with every data structure or algorithm. This is done by describing, for each data structure, the amount of space and time required for typical operations. For each algorithm, we examine the time required for key input types.
It will teach you how to measure the effectiveness of a data structure or algorithm. Only through such measurement can you determine which data structure in your toolkit is most appropriate for a new problem. The techniques presented also allow you to judge the merits of new data structures that you or others might invent.
There are often many approaches to solving a problem. How do we choose between them? At the heart of computer program design are two (sometimes conflicting) goals:
To design an algorithm that is easy to understand, code, and debug.
To design an algorithm that makes efficient use of the computer’s resources.
Ideally, the resulting program is true to both of these goals. We might say that such a program is “elegant.” While the algorithms and program code examples presented here attempt to be elegant in this sense, it is not the purpose of this book to explicitly treat issues related to goal (1). These are primarily concerns for the discipline of Software Engineering. Rather, we mostly focus on issues relating to goal (2).
How do we measure efficiency? Our method for evaluating the efficiency of an algorithm or computer program is called asymptotic analysis. Asymptotic analysis also gives a way to define the inherent difficulty of a problem. Throughout the book we use asymptotic analysis techniques to estimate the time cost for every algorithm presented. This allows you to see how each algorithm compares to other algorithms for solving the same problem in terms of its efficiency.
<IP_ADDRESS>. A Philosophy of Data Structures¶
You might think that with ever more powerful computers, program efficiency is becoming less important. After all, processor speed and memory size still continue to improve. Won’t today’s efficiency problem be solved by tomorrow’s hardware?
As we develop more powerful computers, our history so far has always been to use that additional computing power to tackle more complex problems, be it in the form of more sophisticated user interfaces, bigger problem sizes, or new problems previously deemed computationally infeasible. More complex problems demand more computation, making the need for efficient programs even greater. Unfortunately, as tasks become more complex, they become less like our everyday experience. So today’s computer scientists must be trained to have a thorough understanding of the principles behind efficient program design, because their ordinary life experiences often do not apply when designing computer programs.
In the most general sense, a data structure is any data representation and its associated operations. Even an integer or floating point number stored on the computer can be viewed as a simple data structure. More commonly, people use the term “data structure” to mean an organization or structuring for a collection of data items. A sorted list of integers stored in an array is an example of such a structuring. These ideas are explored further in a discussion of Abstract Data Types.
Given sufficient space to store a collection of data items, it is always possible to search for specified items within the collection, print or otherwise process the data items in any desired order, or modify the value of any particular data item. The most obvious example is an unsorted array containing all of the data items. It is possible to perform all necessary operations on an unsorted array. However, using the proper data structure can make the difference between a program running in a few seconds and one requiring many days. For example, searching for a given record in a hash table is much faster than searching for it in an unsorted array.
A solution is said to be efficient if it solves the problem within the required resource constraints. Examples of resource constraints include the total space available to store the data—possibly divided into separate main memory and disk space constraints—and the time allowed to perform each subtask. A solution is sometimes said to be efficient if it requires fewer resources than known alternatives, regardless of whether it meets any particular requirements. The cost of a solution is the amount of resources that the solution consumes. Most often, cost is measured in terms of one key resource such as time, with the implied assumption that the solution meets the other resource constraints.
<IP_ADDRESS>. Selecting a Data Structure¶
It should go without saying that people write programs to solve problems. However, sometimes programmers forget this. So it is crucial to keep this truism in mind when selecting a data structure to solve a particular problem. Only by first analyzing the problem to determine the performance goals that must be achieved can there be any hope of selecting the right data structure for the job. Poor program designers ignore this analysis step and apply a data structure that they are familiar with but which is inappropriate to the problem. The result is typically a slow program. Conversely, there is no sense in adopting a complex representation to “improve” a program that can meet its performance goals when implemented using a simpler design.
When selecting a data structure to solve a problem, you should follow these steps.
Analyze your problem to determine the basic operations that must be supported. Examples of basic operations include inserting a data item into the data structure, deleting a data item from the data structure, and finding a specified data item.
Quantify the resource constraints for each operation.
Select the data structure that best meets these requirements.
This three-step approach to selecting a data structure operationalizes a data-centered view of the design process. The first concern is for the data and the operations to be performed on them, the next concern is the representation for those data, and the final concern is the implementation of that representation.
Resource constraints on certain key operations, such as search, inserting data records, and deleting data records, normally drive the data structure selection process. Many issues relating to the relative importance of these operations are addressed by the following three questions, which you should ask yourself whenever you must choose a data structure.
Are all data items inserted into the data structure at the beginning, or are insertions interspersed with other operations? Static applications (where the data are loaded at the beginning and never change) typically get by with simpler data structures to get an efficient implementation, while dynamic applications often require something more complicated.
Can data items be deleted? If so, this will probably make the implementation more complicated.
Are all data items processed in some well-defined order, or is search for specific data items allowed? “Random access” search generally requires more complex data structures.
Each data structure has associated costs and benefits. In practice, it is hardly ever true that one data structure is better than another for use in all situations. If one data structure or algorithm is superior to another in all respects, the inferior one will usually have long been forgotten. For nearly every data structure and algorithm presented in this book, you will see examples of where it is the best choice. Some of the examples might surprise you.
A data structure requires a certain amount of space for each data item it stores, a certain amount of time to perform a single basic operation, and a certain amount of programming effort. Each problem has constraints on available space and time. Each solution to a problem makes use of the basic operations in some relative proportion, and the data structure selection process must account for this. Only after a careful analysis of your problem’s characteristics can you determine the best data structure for the task.
Example 1.2.1
A bank must support many types of transactions with its customers, but we will examine a simple model where customers wish to open accounts, close accounts, and add money or withdraw money from accounts. We can consider this problem at two distinct levels: (1) the requirements for the physical infrastructure and workflow process that the bank uses in its interactions with its customers, and (2) the requirements for the database system that manages the accounts.
The typical customer opens and closes accounts far less often than accessing the account. Customers are willing to spend many minutes during the process of opening or closing the account, but are typically not willing to wait more than a brief time for individual account transactions such as a deposit or withdrawal. These observations can be considered as informal specifications for the time constraints on the problem.
It is common practice for banks to provide two tiers of service. Human tellers or automated teller machines (ATMs) support customer access to account balances and updates such as deposits and withdrawals. Special service representatives are typically provided (during restricted hours) to handle opening and closing accounts. Teller and ATM transactions are expected to take little time. Opening or closing an account can take much longer (perhaps up to an hour from the customer’s perspective).
From a database perspective, we see that ATM transactions do not modify the database significantly. For simplicity, assume that if money is added or removed, this transaction simply changes the value stored in an account record. Adding a new account to the database is allowed to take several minutes. Deleting an account need have no time constraint, because from the customer’s point of view all that matters is that all the money be returned (equivalent to a withdrawal). From the bank’s point of view, the account record might be removed from the database system after business hours, or at the end of the monthly account cycle.
When considering the choice of data structure to use in the database system that manages customer accounts, we see that a data structure that has little concern for the cost of deletion, but is highly efficient for search and moderately efficient for insertion, should meet the resource constraints imposed by this problem. Records are accessible by unique account number (sometimes called an exact-match query). One data structure that meets these requirements is the hash table. Hash tables allow for extremely fast exact-match search. A record can be modified quickly when the modification does not affect its space requirements. Hash tables also support efficient insertion of new records. While deletions can also be supported efficiently, too many deletions lead to some degradation in performance for the remaining operations. However, the hash table can be reorganized periodically to restore the system to peak efficiency. Such reorganization can occur offline so as not to affect ATM transactions.
Example 1.2.2
A company is developing a database system containing information about cities and towns in the United States. There are many thousands of cities and towns, and the database program should allow users to find information about a particular place by name (another example of an exact-match query). Users should also be able to find all places that match a particular value or range of values for attributes such as location or population size. This is known as a range query.
A reasonable database system must answer queries quickly enough to satisfy the patience of a typical user. For an exact-match query, a few seconds is satisfactory. If the database is meant to support range queries that can return many cities that match the query specification, the user might tolerate the entire operation to take longer, perhaps on the order of a minute. To meet this requirement, it will be necessary to support operations that process range queries efficiently by processing all cities in the range as a batch, rather than as a series of operations on individual cities.
The hash table suggested in the previous example is inappropriate for implementing our city database, because it cannot perform efficient range queries. The B$^+$-tree supports large databases, insertion and deletion of data records, and range queries. However, a simple linear index would be more appropriate if the database is created once, and then never changed, such as an atlas distributed on a CD or accessed from a website.


“Yātaṁ me hatthigīvāya,
sukhumā vatthā padhāritā;
Sālīnaṁ odano bhutto,
sucimaṁsūpasecano.
I rode on an elephant’s neck,
wearing luxurious clothes.
I ate rice congee
with pure meat sauce.
Sojja bhaddo sātatiko,
uñchāpattāgate rato;
Jhāyati anupādāno,
putto godhāya bhaddiyo.
Today I am fortunate, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā
practices absorption without grasping.
Paṁsukūlī sātatiko,
uñchāpattāgate rato;
Jhāyati anupādāno,
putto godhāya bhaddiyo.
Wearing rags, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā
practices absorption without grasping.
Piṇḍapātī sātatiko,
…
pe…
Living on alms-food, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Tecīvarī sātatiko,
…
pe…
Possessing only three robes, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Sapadānacārī sātatiko,
…
pe…
Wandering for alms indiscriminately, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Ekāsanī sātatiko,
…
pe…
Sitting alone, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Pattapiṇḍī sātatiko,
…
pe…
Eating only what is placed in the alms-bowl, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Khalupacchābhattī sātatiko,
…
pe…
Never eating too late, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Āraññiko sātatiko,
…
pe…
Living in the wilderness, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Rukkhamūliko sātatiko,
…
pe…
Living at the foot of a tree, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Abbhokāsī sātatiko,
…
pe…
Living in the open, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Sosāniko sātatiko,
…
pe…
Living in a charnel ground, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Yathāsanthatiko sātatiko,
…
pe…
Accepting whatever seat is offered, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Nesajjiko sātatiko,
…
pe…
Not lying down to sleep, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Appiccho sātatiko,
…
pe…
Few in wishes, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Santuṭṭho sātatiko,
…
pe…
Content, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Pavivitto sātatiko,
…
pe…
Secluded, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Asaṁsaṭṭho sātatiko,
…
pe…
Not socializing, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Āraddhavīriyo sātatiko,
…
pe…
Energetic, persistent,
happy with the scraps in my bowl:
Bhaddiya son of Godhā practices absorption without grasping.
Hitvā satapalaṁ kaṁsaṁ,
sovaṇṇaṁ satarājikaṁ;
Aggahiṁ mattikāpattaṁ,
idaṁ dutiyābhisecanaṁ.
Giving up a valuable bronze bowl,
and a precious golden one, too,
I took a bowl made of clay:
this is my second initiation.
Ucce maṇḍalipākāre,
daḷhamaṭṭālakoṭṭhake;
Rakkhito khaggahatthehi,
uttasaṁ vihariṁ pure.
I used to live in a citadel with walls so high,
with battlements strong and gates,
all guarded by swordsmen—
and yet I trembled with fear.
Sojja bhaddo anutrāsī,
pahīnabhayabheravo;
Jhāyati vanamoggayha,
putto godhāya bhaddiyo.
Today I am fortunate, free of cowardice,
with fear and dread given up.
Bhaddiya son of Godhā
has plunged into the forest and practices absorption.
Sīlakkhandhe patiṭṭhāya,
satiṁ paññañca bhāvayaṁ;
Pāpuṇiṁ anupubbena,
sabbasaṁyojanakkhayan”ti.
… Bhaddiyo kāḷigodhāya putto thero ….
Established in the full spectrum of ethics,
developing the mind and wisdom,
gradually I attained
the ending of all fetters.


CommerceGate offers online businesses a complete set of services in order to start accepting credit card payments from their customers quickly and safely.
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The magazine cited her role in Europe's crises over migration and Greek debt.
Describes the position of the most senior corporate officer, executive, or administrator
Can deliver high-quality sales-pitches and hold negotiations with top-officials


Pada suatu rentang waktu, ketika "itu" belom terlalu keliatan. 😂😂😂
2016-11-08 22:46:11 WIB
Katanya demi kalel.
2016-11-08 22:03:38 WIB
Apalah kami yg di Soto Bang Is 😫
2016-11-04 14:16:38 WIB
When life gives you choices.
2016-11-03 00:02:17 WIB
November Has Come. Gorillaz.
https://www.youtube.com/shared?ci=zVGswNmPqJ8
Something's starting today
Where did he go? why you wanted to be?
Well you know, november has come
When it's gone away..
2016-11-02 19:16:21 WIB
Now playing. November has come. Gorillaz.
2016-11-01 18:36:05 WIB
Bedeng kota madani
2016-10-31 20:47:41 WIB
Chigga swag. Abaikan bonus dibelakang. Fokus ke HSP aja.


Tata inaugurates new tech development facility in Pune
by Staff WriterThe new facility will play an important role in engineering, testing and developing cutting-edge powertrain solutions for all its products.
With an eye on the future, Tata Motors today inaugurated its state-of-the-art ‘Advance Power Systems Engineering Tech Center’ at the Engineering Research Center (ERC) in Pune.
The company says this futuristic tech facility will play a key role in engineering, testing and developing cutting-edge powertrain solutions for all its products, bringing in synergies across passenger vehicle, commercial vehicle and electric vehicle businesses. It will primarily focus on future development of BS6 (Phase 1 & 2), Real Driving Emissions (RDE), CAFÉ II, Hybrids, Electrification and BS7.
Guenter Butschek, CEO and MD, Tata Motors said, “We at Tata Motors have been consistently gearing up for the future through strategic investments in our product development and engineering capabilities. I am delighted to witness our new ‘Advance Power Systems Engineering Tech Center’ in Pune go live, which was established in a record time of 15 months. This facility will act as a hub to develop class-leading powertrain solutions for our vast product portfolio across ICE and electric. This technical centre reiterates our commitment to offer our customers a wide range of clean, sustainable technologies, thus meeting their aspirations.”
Rajendra Petkar, president and CTO, Tata Motors, said, “It’s a proud moment for us to introduce the world-class Power Systems Engineering Tech Centre in Pune. This facility is a strategic step to offer powertrain solutions across segments under one roof. With future-proof design elements, this facility will enable Tata Motors to offer differentiated products to the customers, with a strong focus on technology, innovation and desired product attributes. With the auto industry witnessing mobility disruptions around CESS (Connected, Electrified, Safe & Shared), this facility will go a long way in supporting our customer-oriented agenda.”
Spread over 12,000 sq. mt. with future-proof design elements, this test facility is equipped to meet the development, calibration and type approval requirement for light and heavy-duty powertrains. It is also capable of testing the range, power, drivability and durability of electric vehicles.
With this new facility, Tata Motors expands its technological research and development (R&D) scale. The company has state-of-the-art R&D centres and design studios which are located in Pune (India), South Korea, Italy and the UK, and have many firsts to their credit. Tata Motors also houses Asia’s first anechoic chamber, India’s only full climate test facility and first full vehicle crash test facility, whose capability has helped develop the first made-in-India 5-star rated (Global NCAP) passenger vehicle, the Tata Nexon.
Tata Motors is also the first manufacturer in India to achieve BS6 certification in January 2019, for a naturally aspirated CNG engine for commercial vehicles. Recently, Tata Motors introduced its Ziptron electric vehicle technology, which will power a new range of Tata electric cars.


HashLife. On Node.
View the Project on GitHub recursiveuniverse/recursiveuniverse.github.com
Café au Life is an implementation of John Conway's Game of Life cellular automata written in CoffeeScript. Café au Life runs on Node.js, it is not designed to run as an interactive program in a browser window.
The annotated source code is the best way to explore the algorithm.
Café au Life implements Bill Gosper's HashLife algorithm. HashLife exploits regularity, so for certain life patterns, it runs at super-linear speed. It's a beautiful algorithm!
If you set up a Glider Gun when the Earth was first formed 4.5 billion years ago, and ran one generation per second, in the 143.4 quadrillion seconds that have elapsed since then, the pattern would grow to 23,900,000,000,000,036 live cells.
Café au Life takes just under two seconds to boot up, and another second to calculate the state of the pattern after 143.4 quadrillion generations. If you haven't seen how the algorithm works, you owe it to yourself to read the annotated source code.
You can try Cafe au Life: Install CoffeeScript and node.js, clone the repository, then use the REPL from the command line:
$ coffee
coffee> Life = require('./lib/cafeaulife').set_universe_rules()
coffee> gun = require('./lib/menagerie').gospers_glider_gun
coffee> gun.future_at_time(143400000000000000).population
23900000000000036
coffee>
You can also play with a browser-based version at raganwald.com/hashlife.
Have fun!
Yes.
Williams, Master of the "Come From" is a short work of fiction that introduces the idea of aggressively separating concerns into separate modules. Café au Life was written in part to explore the "Williams Style" and see how it would play out when writing a non-trivial program.
Implementing Garbage Collection in CS/JS with Aspect-Oriented Programming is an experience report describing the refactoring and programming necessary to add garbage collection to Café au Life.
One of the most important questions we ask ourselves is whether a non-trivial machine can be constructed that reproduces itself. If the answer is "no," then we can reason that for any machine, there must be a factory or creator outside of the machine. That goes for humans and all life. If the answer is "yes," then we can reason that it is not necessary for there to be a factory or creator for every machine, including ourselves.
Cellular automata patterns are a kind of machine, with properties close enough to physical machines that it is very easy to reason by correspondence: If such-and-such is possible for a cellular automaton, it must be possible for a physical machine, therefore research into the capabilities of cellular automata is an important part of research into the capabilities of machines, including our bodies and our brains.
Life theorists have proven all sorts of things about what ought to be possible with Life patterns. Life experimenters have taken it to the next level and have built Universal Turing Machines, self-replicating machines, and all sorts of things that demonstrate the universality of Conway's Game of Life. Implementations that can handle very large and/or very long-running Life patterns are an important tool for experimentation.
If you'd like to read more, the most approachable book on the subject is William Poundstone's brilliant The Recursive Universe. Beg, borrow, or steal a copy, new or used. Get it in hardcover while you still can.
Reg "Raganwald" Braithwaite has authored libraries for Javascript and Ruby programming such as Katy, JQuery Combinators, YouAreDaChef, andand, and more you can find on Github.
He has written a popular programming blog, as well as the books CoffeeScript Ristretto, JavaScript Allongé, and others on programming and programming languages.
(c) 2012 Reg Braithwaite (@raganwald)
Café au Life is freely distributable under the terms of the MIT license.
The annotated source code was generated directly from the original source using Docco.


(html (head (title "foo )title )head (body "\n (form Aid form1 "\n (isindex Aprompt enterSomeText )isindex "\n )form )body )html


Route9.js
A VP8/WebM decoder in JavaScript
Clip:
Big Buck Bunny Trailer
"Sign Irene" test clip
Render Mode:
Canvas
Canvas w/ WebGL
None
Play
FPS
Average FPS (All / Steady)
/
Elapsed
Score


{% extends "base_foundation.html" %} {% load static %} {% block head_extra %} {% endblock head_extra %} {% block content %}
Corporate members of the Django Software Foundation may display these badges on their site to show their support.
{% for level, variants in badges.items %}


You can access LoaderInfo objects in two ways:
contentLoaderInfo
property of a flash.display.Loader
object - The contentLoaderInfo
property is always available
for any Loader object. For a Loader object that has not called the
load()
or loadBytes()
method, or that has not
sufficiently loaded, attempting to access many of the properties of the
contentLoaderInfo
property throws an error.loaderInfo
property of a display object. The contentLoaderInfo
property of a Loader object provides
information about the content that the Loader object is loading, whereas
the loaderInfo
property of a DisplayObject provides
information about the root SWF file for that display object.
When you use a Loader object to load a display object(such as a SWF
file or a bitmap), the loaderInfo
property of the display
object is the same as the contentLoaderInfo
property of the
Loader object(DisplayObject.loaderInfo =
Loader.contentLoaderInfo
). Because the instance of the main class of
the SWF file has no Loader object, the loaderInfo
property is
the only way to access the LoaderInfo for the instance of the main class of
the SWF file.
The following diagram shows the different uses of the LoaderInfo
object - for the instance of the main class of the SWF file, for the
contentLoaderInfo
property of a Loader object, and for the
loaderInfo
property of a loaded object:
When a loading operation is not complete, some properties of the
contentLoaderInfo
property of a Loader object are not
available. You can obtain some properties, such as
bytesLoaded
, bytesTotal
, url
,
loaderURL
, and applicationDomain
. When the
loaderInfo
object dispatches the init
event, you
can access all properties of the loaderInfo
object and the
loaded image or SWF file.
Note: All properties of LoaderInfo objects are read-only.
The EventDispatcher.dispatchEvent()
method is not
applicable to LoaderInfo objects. If you call dispatchEvent()
on a LoaderInfo object, an IllegalOperationError exception is thrown.
object
The object for which you want to get an associated LoaderInfo object.null
when called in non-debugger builds(or when debugging is not enabled) or if the referenced object
does not have an associated LoaderInfo object(such as some objects used by the AIR runtime).SecurityError
The caller is not running in the local trusted sandbox.ActionScriptVersion.ACTIONSCRIPT2
and
ActionScriptVersion.ACTIONSCRIPT3
.
Note: This property always has a value of either
ActionScriptVersion.ACTIONSCRIPT2
or
ActionScriptVersion.ACTIONSCRIPT3
. ActionScript 1.0 and 2.0
are both reported as ActionScriptVersion.ACTIONSCRIPT2
(version 2.0). This property only distinguishes ActionScript 1.0 and 2.0
from ActionScript 3.0.
applicationDomain
property.
All code in a SWF file is defined to exist in an application domain. The current application domain is where your main application runs. The system domain contains all application domains, including the current domain and all classes used by Flash Player or Adobe AIR.
All application domains, except the system domain, have an associated
parent domain. The parent domain of your main application's
applicationDomain
is the system domain. Loaded classes are
defined only when their parent doesn't already define them. You cannot
override a loaded class definition with a newer definition.
For usage examples of application domains, see the "Client System Environment" chapter in the ActionScript 3.0 Developer's Guide.
bytesTotal
, all of the bytes are loaded.Before the first progress
event is dispatched by this
LoaderInfo object's corresponding Loader object, bytesTotal
is 0. After the first progress
event from the Loader object,
bytesTotal
reflects the actual number of bytes to be
downloaded.
true
;
otherwise, false
. This property is set to true
if the child object has called the allowDomain()
method to
grant permission to the parent domain or if a URL policy is loaded at the
child domain that grants permission to the parent domain. If child and
parent are in the same domain, this property is set to true
.
For more information related to security, see the Flash Player Developer Center Topic: Security.
null
if not
enough of the file has loaded in order to determine the type. The
following list gives the possible values:
"application/x-shockwave-flash"
"image/jpeg"
"image/gif"
"image/png"
This value may differ from the actual frame rate in use. Flash Player or Adobe AIR only uses a single frame rate for all loaded SWF files at any one time, and this frame rate is determined by the nominal frame rate of the main SWF file. Also, the main frame rate may not be able to be achieved, depending on hardware, sound synchronization, and other factors.
LoaderInfo.url
property has been truncated.
When the isURLInaccessible
value is true
the
LoaderInfo.url
value is only the domain of the final URL from
which the content loaded. For example, the property is truncated if the
content is loaded from http://www.adobe.com/assets/hello.swf
,
and the LoaderInfo.url
property has the value
http://www.adobe.com
. The isURLInaccessible
value is true
only when all of the following are also true:
Loader.load()
is from a different
domain than the content's final URL.Loader.load()
does not have
permission to access the content. Permission is granted to access the
content the same way permission is granted for
BitmapData.draw()
: call Security.allowDomain()
to access a SWF file(or for non-SWF file content, establish a policy file
and use the LoaderContext.checkPolicyFile
property).Note: The isURLInaccessible
property was added for
Flash Player 10.1 and AIR 2.0. However, this property is made available to
SWF files of all versions when the Flash runtime supports it. So, using
some authoring tools in "strict mode" causes a compilation error. To work
around the error use the indirect syntax
myLoaderInfo
, or disable strict mode. If
you are using Flash Professional CS5 or Flex SDK 4.1, you can use and
compile this API for runtimes released before Flash Player 10.1 and AIR
2."isURLInaccessible"
For application content in AIR, the value of this property is always
false
.
loaderInfo
property of the instance
of the main class of the SWF file, no Loader object is associated.
You can use a for-in
loop to extract all the names and
values from the parameters
object.
The two sources of parameters are: the query string in the URL of the
main SWF file, and the value of the FlashVars
HTML parameter
(this affects only the main SWF file).
The parameters
property replaces the ActionScript 1.0 and
2.0 technique of providing SWF file parameters as properties of the main
timeline.
The value of the parameters
property is null for Loader
objects that contain SWF files that use ActionScript 1.0 or 2.0. It is
only non-null for Loader objects that contain SWF files that use
ActionScript 3.0.
true
;
otherwise, false
. This property is set to true
if the parent object called the allowDomain()
method to grant
permission to the child domain or if a URL policy file is loaded at the
parent domain granting permission to the child domain. If child and parent
are in the same domain, this property is set to true
.
For more information related to security, see the Flash Player Developer Center Topic: Security.
true
if they have the same origin domain; false
otherwise.
sharedEvents
and send and receive events via this
object.SWFVersion.FLASH7
and SWFVersion.FLASH9
.
uncaughtError
event when an
unhandled error occurs in code in this LoaderInfo object's SWF file. An
uncaught error happens when an error is thrown outside of any
try..catch
blocks or when an ErrorEvent object is dispatched
with no registered listeners.
This property is created when the SWF associated with this LoaderInfo
has finished loading. Until then the uncaughtErrorEvents
property is null
. In an ActionScript-only project, you can
access this property during or after the execution of the constructor
function of the main class of the SWF file. For a Flex project, the
uncaughtErrorEvents
property is available after the
applicationComplete
event is dispatched.
Before the first progress
event is dispatched by this
LoaderInfo object's corresponding Loader object, the value of the
url
property might reflect only the initial URL specified in
the call to the load()
method of the Loader object. After the
first progress
event, the url
property reflects
the media's final URL, after any redirects and relative URLs are
resolved.
In some cases, the value of the url
property is truncated;
see the isURLInaccessible
property for details.
type
The type of event.useCapture
Determines whether the listener works in the capture phase or the target and bubbling phases. If useCapture
is set to true
, the listener processes the event only during the capture phase and not in the target or bubbling phase. If useCapture
is false
, the listener processes the event only during the target or bubbling phase. To listen for the event in all three phases, call addEventListener
twice, once with useCapture
set to true
, then again with useCapture
set to false
.priority
The priority level of the event listener. The priority is designated by a signed 32-bit integer. The higher the number, the higher the priority. All listeners with priority n are processed before listeners of priority n-1. If two or more listeners share the same priority, they are processed in the order in which they were added. The default priority is 0.useWeakReference
Determines whether the reference to the listener is strong or weak. A strong reference(the default) prevents your listener from being garbage-collected. A weak reference does not. Class-level member functions are not subject to garbage collection, so you can set useWeakReference
to true
for class-level member functions without subjecting them to garbage collection. If you set useWeakReference
to true
for a listener that is a nested inner function, the function will be garbage-collected and no longer persistent. If you create references to the inner function(save it in another variable) then it is not garbage-collected and stays persistent.
ArgumentError
The listener
specified is not a function.After you successfully register an event listener, you cannot change
its priority through additional calls to addEventListener()
.
To change a listener's priority, you must first call
removeListener()
. Then you can register the listener again
with the new priority level.
Keep in mind that after the listener is registered, subsequent calls to
addEventListener()
with a different type
or
useCapture
value result in the creation of a separate
listener registration. For example, if you first register a listener with
useCapture
set to true
, it listens only during
the capture phase. If you call addEventListener()
again using
the same listener object, but with useCapture
set to
false
, you have two separate listeners: one that listens
during the capture phase and another that listens during the target and
bubbling phases.
You cannot register an event listener for only the target phase or the bubbling phase. Those phases are coupled during registration because bubbling applies only to the ancestors of the target node.
If you no longer need an event listener, remove it by calling
removeEventListener()
, or memory problems could result. Event
listeners are not automatically removed from memory because the garbage
collector does not remove the listener as long as the dispatching object
exists(unless the useWeakReference
parameter is set to
true
).
Copying an EventDispatcher instance does not copy the event listeners attached to it.(If your newly created node needs an event listener, you must attach the listener after creating the node.) However, if you move an EventDispatcher instance, the event listeners attached to it move along with it.
If the event listener is being registered on a node while an event is being processed on this node, the event listener is not triggered during the current phase but can be triggered during a later phase in the event flow, such as the bubbling phase.
If an event listener is removed from a node while an event is being processed on the node, it is still triggered by the current actions. After it is removed, the event listener is never invoked again(unless registered again for future processing).
event
The Event object that is dispatched into the event flow. If the event is being redispatched, a clone of the event is created automatically. After an event is dispatched, its target
property cannot be changed, so you must create a new copy of the event for redispatching to work.true
if the event was successfully dispatched. A value of false
indicates failure or that preventDefault()
was called on the event.Error
The event dispatch recursion limit has been reached.dispatchEvent()
method
is called.
type
The type of event.true
if a listener of the specified type is registered; false
otherwise.willTrigger()
.
The difference between hasEventListener()
and
willTrigger()
is that hasEventListener()
examines only the object to which it belongs, whereas
willTrigger()
examines the entire event flow for the event
specified by the type
parameter.
When hasEventListener()
is called from a LoaderInfo
object, only the listeners that the caller can access are considered.
type
The type of event.useCapture
Specifies whether the listener was registered for the capture phase or the target and bubbling phases. If the listener was registered for both the capture phase and the target and bubbling phases, two calls to removeEventListener()
are required to remove both, one call with useCapture()
set to true
, and another call with useCapture()
set to false
.type
The type of event.true
if a listener of the specified type will be triggered; false
otherwise.true
if an event listener is triggered during any
phase of the event flow when an event of the specified type is dispatched
to this EventDispatcher object or any of its descendants.
The difference between the hasEventListener()
and the
willTrigger()
methods is that hasEventListener()
examines only the object to which it belongs, whereas the
willTrigger()
method examines the entire event flow for the
event specified by the type
parameter.
When willTrigger()
is called from a LoaderInfo object,
only the listeners that the caller can access are considered.


2 Samuel 17:28
Brought beds, and basins, and earthen vessels, and wheat, and barley, and flour, and parched corn, and beans, and lentils, and parched pulse,


The menus are keyboard accessible.
Activate the triggering element using the keyboard. Press the Up and Down Arrow keys to move focus between the menu options. Press the Left and Right Arrow keys to open or close submenus. Press any letter or number to jump to a menu item starting with that character or digit. Press Enter to activate a menu option. Press Escape to close the currently open menu. Press Tab or set focus back on the triggering element to close the menu and all submenus. Mouse users can click the desired menu option as usual, or click anywhere outside the menu to close it.


PRESS RELEASE
October 29, 2020
Center for Social Solutions sponsors the Flint Justice Partnership
University of Michigan department partners with the Flint Justice Partnership to advance its mission of water access
The Flint Justice Partnership will work with the Center for Social Solutions to advance its mission of water access. FLINT JUSTICE PARTNERSHIP.
Ann Arbor, Michigan—The Center for Social Solutions (CSS) sponsored the Flint Justice Partnership (FJP) on Thursday, October 29. The two organizations hope to work together to advance their mission of water access.
FJP was founded two years ago by a group of University of Michigan-Ann Arbor freshmen that wanted to bring attention to Flint and the water crisis. After not being able to find an on-campus organization dedicated to the Flint community, the group decided to start FJP in partnership with the Michigan Community Scholars Program. FJP is built on the idea of partnerships and long-term, sustainable work. The organization educates students about the water crisis through dialogues, information sessions and social media. They also serve and connect with the Flint community through partner organizations, including Crossing Water, Food Bank of Eastern Michigan and Hurley Medical Center.
FJP’s co-chair and U-M LSA junior Quinn Nolan said the group is excited to start this partnership. He added FJP is very thankful for the support they received throughout the process from CSS and Michigan Community Scholars Program.
"We're beyond excited to be a part of the Center for Social Solutions family,” Nolan said. “Even during these uncertain times, we're ready to continue and expand our work."
FJP was sponsored with the mentorship of CSS faculty and staff, including Director Dr. Earl Lewis, Associate Director Dr. Alford Young, Jr., Project Senior Manager Doreen N. Tinajero, Chief Administrator Melissa Eljamal, and Research Associates Julie Arbit and Justin Shaffner.
CSS was launched by Lewis in 2018 to address three core areas of social concern: diversity and race, water, and the future of work. Lewis and the CSS team are excited to begin the partnership with FJP.
About the Flint Justice Partnership
The Flint Justice Partnership at the University of Michigan-Ann Arbor aims to serve and connect with the Flint community and educate UM students about the Flint water crisis. FJP partners with multiple organizations to advance our mission. FJP was co-founded by Michal Ruprecht, Lindsay Miles, Quinn Nolan, Emily Welch, and Demetrius Ford in October of 2018.
About the Center for Social Solutions
CSS fosters research and collaborations that diagnose and solve critical social problems. CSS believes these solutions rely on diverse perspectives that account for the multi-faceted root causes of these issues. Their founding initiatives—diversity, slavery, water access, and the future of work—approach different aspects of the equality that they believe is necessary to advance as a prosperous democratic society. Find more information about CSS here.
Press contacts and links
Email<EMAIL_ADDRESS>Website: umichfjp.github.io/pages/social
Email FJP to get the password for the press resource page.
The Flint Justice Partnership will work with the Center for Social Solutions to advance its mission of water access. FLINT JUSTICE PARTNERSHIP.


Rank function matroids#
The easiest way to define arbitrary matroids in Sage might be through the
class RankMatroid
. All that is required is a groundset and a function that
computes the rank for each given subset.
Of course, since the rank function is used as black box, matroids so defined cannot take advantage of any extra structure your class might have, and rely on default implementations. Besides this, matroids in this class can’t be saved.
Constructions#
Any function can be used, but no checks are performed, so be careful.
EXAMPLES:
sage: def f(X):
....: return min(len(X), 3)
sage: M = Matroid(groundset=range(6), rank_function=f)
sage: M.is_valid()
True
sage: M.is_isomorphic(matroids.Uniform(3, 6))
True
sage: def g(X):
....: if len(X) >= 3:
....: return 1
....: else:
....: return 0
sage: N = Matroid(groundset='abc', rank_function=g)
sage: N.is_valid()
False
See below
for more. It is
recommended to use the Matroid()
function for easy construction of a RankMatroid
. For direct access to the
RankMatroid
constructor, run:
sage: from sage.matroids.advanced import *
AUTHORS:
Rudi Pendavingh, Stefan van Zwam (2013-04-01): initial version
Methods#
- class sage.matroids.rank_matroid.RankMatroid(groundset, rank_function)#
Bases:
Matroid
Matroid specified by its rank function.
INPUT:
groundset
– the groundset of a matroid.rank_function
– a function mapping subsets ofgroundset
to nonnegative integers.
OUTPUT:
A matroid on
groundset
whose rank function equalsrank_function
EXAMPLES:
sage: from sage.matroids.advanced import * sage: def f(X): ....: return min(len(X), 3) sage: M = RankMatroid(groundset=range(6), rank_function=f) sage: M.is_valid() True sage: M.is_isomorphic(matroids.Uniform(3, 6)) True
- groundset()#
Return the groundset of
self
.EXAMPLES:
sage: from sage.matroids.advanced import * sage: M = RankMatroid(range(6), ....: rank_function=matroids.Uniform(3, 6).rank) sage: sorted(M.groundset()) [0, 1, 2, 3, 4, 5]


2019 | 0KM
Baja Rouser
Some quick example text to build on the card title and make up the bulk of the card's content.


We can access: {{ rootProperty }}
We can access: {{ rootProperty }} and {{ parentProperty }}
We can access: {{ rootProperty }} and {{ parentProperty }} and {{ childProperty }}
{{ fullSentenceFromChild }}


This package provides an implementation of the authorization-related interfaces
defined by the com.att.research.datarouter.authz
package, intended for
use with the provisioning server for Data Router Release 1. In DR R1, we do not
have an external policy engine, so this implementation performs the authorization
locally.
In order to perform the authorization, this package needs access to provisioning data
about feeds and subscriptions. This package defines an interface
(com.att.research.datarouter.authz.impl.ProvDataProvider
) through which it
expects to get this data. The provisioning server code must provide an implementation
of this interface.
A software component that wishes to use this implementation must:
com.att.research.datarouter.authz.impl.ProvDataProvider
interface.
ProvDataProvider
implementation.
com.att.research.datarouter.authz.impl.ProvAuthorizer
class defined in this package, passing it an instance of the ProvDataProvider
implementation.
Example:
ProvDataProvider dataProv = new MyDataProvider();
Authorizer authz = new ProvAuthorizer(dataProv);


Thiago Silva blasts Lionel Messi after Argentina beat Brazil
The defender criticised Argentina's captain after his goal helped them beat the Selecao
by Sport ENBrazil captain Thiago Silva criticised Lionel Messi after Argentina beat his country 1-0 on Friday in a friendly in Saudi Arabia.
"He wanted to rule over the game," said Silva. "He kicked two people and the referee did nothing. I argued with the ref and he kept laughing. You have to put admiration to one side," said the defender.
"He always looks to force the referee to give them free-kicks in dangerous areas, he always acts in that way. We spoke with some players who play in Spain and the same thing happens, he looks to control the game and the referee's decisions.
"In the Champions League he doesn't have that advantage because the referees are tougher. You don't see him trying to rule so much. There are referees that, because of their admiration for him, start to weigh in on his side. That we didn't have Neymar on our side was a disadvantage."
Messi told Brazil coach Tite to shut it.
"It's hard to understand when we talk about respect on the pitch, and one of the most admired players in the world does that, you don't do that to an older person but being that it was a coach... as much as there is rivalry, respect has to come first," added Silva.


New Movies
Back
Cartoon List
Toy story 4
The Incrediables
CoCo
Lion King
Zootopia
Mr. peabody & sherman
Story
Back
Toy story 4
Story
Back
The Incrediables
Story
Back
CoCo
Story
Back
Lion King
Story
Back
Zootopia
Story
Back
Mr. peabody & sherman


Social Determinants of Health in Virginia Counties
Home
(current)
About
Data
The key to understanding yourself is to understand your community!


Package org.drip.spaces.rxtord
Class NormedRxToNormedRd
java.lang.Object
org.drip.spaces.rxtord.NormedRxToNormedRd
- Direct Known Subclasses:
NormedR1ToNormedRd
,NormedRdToNormedRd
public abstract class NormedRxToNormedRd
extends java.lang.Object
NormedRxToNormedRd is the Abstract Class that exposes f : Normed Rx (x .gte. 1) To
Normed Rd Function Space. The Reference we've used is:
- Carl, B., and I. Stephani (1990): Entropy, Compactness, and the Approximation of Operators Cambridge University Press Cambridge UK
- Module = Computational Core Module
- Library = Statistical Learning Library
- Project = R1 and Rd Vector/Tensor Spaces (Validated and/or Normed), and Function Classes
- Package = Rx To Rd Normed Function Spaces
- Author:
- Lakshmi Krishnamurthy
-
Constructor Summary
Constructors Constructor Description NormedRxToNormedRd()
-
Method Summary
Modifier and Type Method Description abstract GeneralizedMetricVectorSpace
inputMetricVectorSpace()
Retrieve the Input Metric Vector Spaceabstract RdNormed
outputMetricVectorSpace()
Retrieve the Output Metric Vector Spacedouble[]
populationCoveringNumber(double dblCover)
Retrieve the Population Covering Number Arrayabstract double[]
populationESS()
Retrieve the Population ESS (Essential Spectrum) Arrayabstract double[]
populationMetricNorm()
Retrieve the Population Metric Norm Arraydouble[]
populationSupremumCoveringNumber(double dblCover)
Retrieve the Population Supremum Covering Number Arraydouble[]
populationSupremumNorm()
Retrieve the Population Supremum Norm Arraydouble[]
sampleCoveringNumber(GeneralizedValidatedVector gvvi, double dblCover)
Retrieve the Sample Covering Number Arrayabstract double[]
sampleMetricNorm(GeneralizedValidatedVector gvvi)
Retrieve the Sample Metric Norm Arraydouble[]
sampleSupremumCoveringNumber(GeneralizedValidatedVector gvvi, double dblCover)
Retrieve the Sample Supremum Covering Number Arrayabstract double[]
sampleSupremumNorm(GeneralizedValidatedVector gvvi)
Retrieve the Sample Supremum Norm ArrayMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
-
Constructor Details
-
NormedRxToNormedRd
public NormedRxToNormedRd()
-
-
Method Details
-
inputMetricVectorSpace
Retrieve the Input Metric Vector Space- Returns:
- The Input Metric Vector Space
-
outputMetricVectorSpace
Retrieve the Output Metric Vector Space- Returns:
- The Output Metric Vector Space
-
sampleSupremumNorm
Retrieve the Sample Supremum Norm Array- Parameters:
gvvi
- The Validated Vector Space Instance- Returns:
- The Sample Supremum Norm Array
-
sampleMetricNorm
Retrieve the Sample Metric Norm Array- Parameters:
gvvi
- The Validated Vector Space Instance- Returns:
- The Sample Metric Norm Array
-
sampleCoveringNumber
Retrieve the Sample Covering Number Array- Parameters:
gvvi
- The Validated Vector Space InstancedblCover
- The Cover- Returns:
- The Sample Covering Number Array
-
sampleSupremumCoveringNumber
Retrieve the Sample Supremum Covering Number Array- Parameters:
gvvi
- The Validated Vector Space InstancedblCover
- The Cover- Returns:
- The Sample Supremum Covering Number Array
-
populationESS
public abstract double[] populationESS()Retrieve the Population ESS (Essential Spectrum) Array- Returns:
- The Population ESS (Essential Spectrum) Array
-
populationMetricNorm
public abstract double[] populationMetricNorm()Retrieve the Population Metric Norm Array- Returns:
- The Population Metric Norm Array
-
populationSupremumNorm
public double[] populationSupremumNorm()Retrieve the Population Supremum Norm Array- Returns:
- The Population Supremum Norm Array
-
populationCoveringNumber
public double[] populationCoveringNumber(double dblCover)Retrieve the Population Covering Number Array- Parameters:
dblCover
- The Cover- Returns:
- The Population Covering Number Array
-
populationSupremumCoveringNumber
public double[] populationSupremumCoveringNumber(double dblCover)Retrieve the Population Supremum Covering Number Array- Parameters:
dblCover
- The Cover- Returns:
- The Population Supremum Covering Number Array
-


I write this notes about Python during my learning process of it. I’m
not an expert in Python. I’m just writing this notes while I learn
Python aiming to help others who are learning it too. Never hesitate to
comment on anything you want.
Origins of Python
- Developed by Guido van Rossum.
- Derived from ABC, a teaching language that was developed in 1980s.
Why Pyhton ?
- Python code is pretty simple, compact and easy to learn.
- Code simplicity let you focus on the core program functionality.
- Suitable for programming languages introductory courses.
- Provides a balance between the practical and the conceptual. You
start writing after the first tutorial; and if you want to go
further in advanced topics you will find a large library of modules
that can be used to do all sorts of tasks ranging from
web-programming to graphics.
- Python borrows features from both functional programming languages
and object-oriented programming languages, which enables it to serve
as an excellent foundation for introducing important computer
science concepts.
- Python allow you to see higher level of success and a lower level of
frustration :)
How to setup Python ?
Python is free downloadable from many source, and it have also many IDEs
and editors. Aiming to start coding quickly without wasting time in IDE
exploration, setup, configuration problems; we will use just the
ActivePython.
Let’s see how to do that:
- Download
ActivePython,
it is free.
- After you install ActivePython you will got that the following
change in your start menu. We will not use Python Intercative Shell
nor PythonWin Editor in our first steps, we will use them in
upcoming notes.
- In our first note we will use Python from the Windows Command
window. To do that we need to add the Python installation path to
the Environment Variables of the operating system.
- If you are using Windows XP or Windows 2000 do the following (if you
are using Windows Vista go for step 5):
- Right-click My Computer and select Properties from the displayed
context menu. You will got the System Properties dialog
- Then click the Advanced Tab
- Then click the Environment Variables button near the left bottom.
You will got the Environment variables dialog
- Select the variable path from the second list called System
Variables. Then click Edit button, you will got the Edit System
Variable dialog box
- Append the Python installation path to the string in Variable value
textbox. The default installation path for ActivePython in our case
is C:\Python25\; the semicolon ‘;’ is not part of the path but is
mandatory to be added at the end. This semicolon acts as the
delimiter that enables the operating system to differentiate between
this list of paths.
- If you using Windows Vista, do the following (very similar steps):
- Right-click My Computer and select Properties from the displayed
context menu. You will got the System Properties dialog
- Then the link Advanced system settings on the left menu, you will
got the System Properties dialog box
- Then click the Advanced tab
- Click the Environment Variables button near the right bottom, you
will got Environment Variables dialog box
- Select the variable path from the second list called System
Variables. Then click Edit button, you will got the Edit System
Variable dialog box
- Append the Python installation path to the string in Variable value
textbox. The default installation path for ActivePython in our case
is C:\Python25\; the semicolon ‘;’ is not part of the path but is
mandatory to be added at the end. This semicolon acts as the
delimiter that enables the operating system to differentiate between
this list of paths.
Now, we have Python installed and configured on our machines.
Let’s begin in Python
Python is a high-level programming language. It is interpreted language,
which means that its programs are executed by an interpreter rather than
a compiler. There are two ways to use the interpreter:
- Command-line mode where you type your python programs at the
command-line and the interpreter prints the result.
- Open the windows command window and type python, to invoke the
python interpreter.
- Type print “Hello world !” and press enter. Guess what, you have
wrote your first program in Python :)
- Script mode where you write your program in a file and use the
interpreter to execute the contents of the file. Such a file called
script. By convention python files have extension .py.
- To try that mode, create a file script1.py in your Python
installation folder ( default is : C:\Python25 ).
- In this file write print “Hello world !” , save and close.
- Open the windows command window and type python, to invoke the
python interpreter.
- Type import script1 and press enter. You just ran your first
Python program.
We will use the script mode in most of our notes.
This is just the beginning of our notes about Python. Now we have Python
installed and configured on our machines. We will continue our learning
in the upcoming notes.


Q.
Write a JavaScript program to find the area of a triangle where lengths of the three of its sides are 5, 6, 7.
Solution 2
Q.
Write a JavaScript program to convert temperatures to and from Celsius, Fahrenheit.
Solution 3
Q.
Write a JavaScript program to find the largest of three given integers.
Solution 4
Q.
Write a JavaScript program to capitalize the first letter of each word of a given string.
Solution 5
Q.
Write a JavaScript program to check if a given positive number is a multiple of 3 or a multiple of 7.
Solution 6
Q.
It is found by comparing two DNA strands and counting how many of the nucleotides are different from their equivalent in the other string.Find out the difference in 2 strings. How many chars are different ?
Solution 7
Q.
Determine if a sentence is a pangram. A pangram (Greek: παν γράμμα, pan gramma, "every letter") is a sentence using every letter of the alphabet at least once. The best known English pangram is "The quick brown fox jumps over the lazy dog." The alphabet used is ASCII, and case insensitive, from 'a' to 'z' inclusively.
Solution 8
Q.
Determine if a word or phrase is an isogram.
Solution 9
Q.
Convert a long phrase to its acronym.Techies love their TLA (Three Letter Acronyms). Help generate some jargon by writing a program that converts a long name like Portable Network Graphics to its acronym (PNG).
Solution 10
Q.
Create a JSON data object for Facebook news feed, should have data for author name, author image, post content, list of likes, comments and share etc. Now you must be able to query these :
a. Check how many posts are there by a particular user in your feed ?
b. How many likes on 5th post ?
c. Who are the users who liked 5th post ?
d. Who is the First user to like 5th post ?
e. How many users are there who have both commented and liked 5th post. Also show list of those users.
f. Find out the person who has commented most on your feed. (In top 10 posts)
Solution 11
Q.
Create a JS object representing your facebook friendlist.
a.  Add 2 more friends to your friendlist at a time.
c. print all friends in your friendlist sorted by Name.
d. print all friends in your friendlist sorted by Length of Name( # of chars)
e. print initials of all your friends (Virat Kohli becomes VK)
f. print only friends who have same first names


The world does not need another tweet about #gamergate. Make it stop with your dollars!
Each tweet about #gamergate will be responded to indicating a donation has been made to Anita Sarkeesian to continue her video series.
5000 USD has been pledged by 450 people, and there are 10% less tweets about Gamergate.
I would like to pledge USD
We should replace this widget with @bulletinproj responses
#gamergate Tweets


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--- layout: page title: Hi, I'm Aditya Sarvaiya subtitle: Master's Student in Machine Learning and Intelligent Systems use-site-title: true ---
My name is Aditya Sarvaiya, currently MTech student with specialization in Machine Learning and Intelligent Systems) at IIIT Allahabad. I completed my Bachelors degree in Information Technology Department from L.D. College of Engineering (Gujarat).
My current research interests are Natural Language Processing and Computer Vision. I am currently Student Ambassador for Artificial Intelligence at INTEL (Nervana AI Academy) and working on Natural Language Processing, Natural Language Understanding and Reinforcement Learning.
I was selected by INTEL as one of the only 170 students across the globe, as a Student Ambassador and Researcher particularly in the field of Artificial Intelligence and Machine Learning.
Served many clients as a Founder of the Start-up named Dynamic Hub.
Scored 572 in GATE exam 2018 (Paper code : CS) conducted by IIT Guwahati.
Got selected among India's top 200 candidates for NDA (National Defence Academy) Interviews held in Mumbai and Bangalore in the year 2013.


Firms need resources in order to produce products. They meet the households at
the factor market (which is not a real place, like the black market) and pay them for
these resources. The demand for resources is a derived demand, derived from the products
that they help produce. The demand for a product influences the demand of the
resources used to produce said product.
The strength of the demand for any resource will depend on the
productivity of the resource and the market value of the good or service it helps
to produce. This is just a more definitional version of the statements I made
before. Marginal Revenue Product (MRP) is defined as the change in total revenue
resulting from the use of each additional unit of a resource. In a mathematical sense,
this means that MRP = ΔTR ÷ ΔQr, where TR is the total
revenue and Qr is the resource quantity.
The rule for employing resources is when MRP = MRC, where MRC is the marginal resource cost.
The marginal resource cost is the amount that each additional unit of a resource adds to the firm's
total (resource) cost. Mathematically, MRC = ΔTCr ÷ ΔQr.
Know that resource demand is the same as the MRP in a competitive product market.
Firms must answer two questions:
- What combination of resources will minimize costs at a specific level of output?
- What combination of resources will maximize profit?
The least-cost combinaion of resources is employed when the last
dollar spent on each resource yields the same marginal product. Confusing, huh? Here's a
formula:
MPr1 ÷ Pr1 = MPr2 ÷ Pr2 = …
The profit-maximizing rule for multiple resources is when the MRP is equal to the price
for each resource. Therefore, MRP ÷ P = 1.
In the marginal productivity theory of income distribution, income gets distributed
accordingly to contribution of society's output. Therefore, income payments based on marginal revenue product
seem to provide a fair and equitable distribution of society's income. There are several
critiques of this theory despite its seemingly fair principles. Such criticism include: inequality and market
imperfections.
Wage is the resource price of labor. As the quantity of labor increases, the real wage rate increases as well.
We can say that the wage rate represents the MRC.
A wage rate is the price paid per unit of labor services, in this case an hour of work.
A nominal wage is the amount of money received per hour, day, or year. A real wage is the quantity
of goods and services a worker can obtain with nominal wages; real wages reveal the "purchasing power" of nominal wages
(McConnell & Brue 521).
When workers produce more quantity of product (meaning an increase in productivity), there will be more
real income available for distribution. There is a close relationship between output and compensation.
We can never infer that an increase in wage rates will lead to an increase in productivity, however.
A high correlation is not the same as true causation.
In a purely competitive market, individual firms and workers are wage takers, since neither can exert
any control over the market wage rate. For the firm, the wage rate vs quantity of labor model would look like this:
The equilibrium point is just an application of MRP = MRC.
The difference between a perfectly competitive market and a monopsony is that the
monopsony is a market in which a single employer of labor
has substantial hiring power. In this model, the MRC is geater than the wage rate.
This is because there must be uniform distribution of income. This is similar to the
model of nondiscriminatory monopoly.
Know the three union models:
- Demand-Enhancement Model
- Exclusive or Craft-Union Model
- Inclusive or Industrial Union Model
When you combine the monopsony model and the inclusive unionism model, you
get a bilateral monopoly because in its pure form there is a singe seller
and a single buyer.
Wage differentials is the fact that hourly wage rates and annual salaries differ greatly among
occupations.


Putco Managers Summoned Over Rise In Accidents
by SG EditorBus company Putco has been summoned to an urgent meeting by the Gauteng Department of Roads and Transport on Thursday to discuss the increasing number of accidents involving the bus company.
Four of the company’s buses were recently involved in separate accidents along the notorious Moloto Road in Tshwane, which injured dozens of commuters on Wednesday night. The latest crash was just on Thursday morning on the same road.
Preliminary reports indicated that all the four buses lost control, injuring one driver and four passengers who were admitted to various hospitals.
Gauteng Roads and Transport MEC Jacob Mamabolo said he would ask Putco management some critical questions.
“While the details of the accidents are still sketchy, I have summoned Putco management to account for the rise in the spate of accidents involving their buses. It cannot be right that our commuters continue to be subjected to these traumatic events and loss of lives. It is totally unacceptable,” Mamabolo said.
He wished the injured a speedy recovery and urged motorists to be extra cautious when driving in rainy conditions.


by Lars Lindahl (c) 2000 Lars Lindahl
Lars Attacks! http://www.angelfire.com/ny3/larsattacks
"Play it to the Bone"
Starring Woody Harrelson, Antonio Banderas, Lolita Davidovich, Tom Sizemore, Robert Wagner,Lucy Liu, Kevin Costner, James Woods, George Foreman, Rod Stewart, and Mike Tyson.
Directed by Ron Shelton Written by Ron Shelton
Play it to the Bone, the newest addition to Ron Shelton's sports - themed repertoire fails in numerous ways. Like most of Shelton's other great films (Bull Durham, White Men Can't Jump), this dud unsuccessfully attempts to use athleticism as a method of connecting characters and creating interesting subplots. Shelton's films are not considered sports films, but they do heavily revolve around a specific game to tell a story. Shelton has been so good in the past at using sports to analyze the structure of society that from his collection of films we are given an examination of different classes and races living in various different regions. Play it to the Bone is unsuccessful because not only is the boxing theme dull, but the side story of the two guys and a girl travelling across the country is even worse. The film has no social message like its predecessors. The relationship between the friends, two failed boxers who must face off against each other in the ring for 50 thousand dollars, is very confusing for a number of reasons. The whole film, since it is primarily a "buddy picture," depends on the strength of the friendship the two characters have for each other. Unfortunately, it is a very weak bond for the reasons listed below.
1) We never see how Cesar (Antonio Banderas) and Vince (Woody Harrelson) meet. The two are so different from each other, that a scene of how this odd friendship developed should have been mandatory.
2) Vince and Cesar argue every moment possible on their trip to Las Vegas. There is not one convincing moment dedicated to seeing the characters laugh together or actually agree on something.
3) The third character on the trip, Grace (Lolita Davidovich) stands in the way. She is in nearly every scene with them, making it impossible to understand the difficulty the two male characters are going to have when they fight each other.
4) There are two many interfering, irrelevant side stories. Vince is convinced that he sees Jesus on a regular basis, Cesar yells at the sky in Spanish when he is angry, and Grace tries to sell her inventions to hotel owner Robert Wagner. These boring tales only hurt the central plot.
5) When it comes to time for the two men to fight, they don't even hesitate to pound each other. Wasn't the whole point of the road trip to show that these two are friends who could never hurt each other?
By the time the road trip part of the movie is over with, the film wants to be over. Shelton, on the other hand, continues to tell his story. Forty five painful minutes remain. The boxing scene between Cesar and Vince starts out very powerful and interestingly different from other boxing movies. However, the fight goes on for way too long and becomes very repetitive and predictable after awhile, kind of like the whole film.
Grade: * (out of four)
by Lars Lindahl (c) 2000 Lars Lindahl
Lars Attacks! http://www.angelfire.com/ny3/larsattacks Play it to the Bone is Play it to the Bo-oooooring. (sorry I couldn't help myself).
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Twenty-eighth Sessions of the UNFCCC Subsidiary Bodies, Second Session of the Ad Hoc Working Group Under the Convention, and fifth Session of the Ad Hoc Working Group Under the Kyoto Protocol
09-Jun-08 — original report
The Secretariat introduced relevant methodologies under the Convention and Protocol, and provided background information on global warming potentials (GWPs).
Simon Eggleston, IPCC, presented on the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, detailing changes compared with the previous guidelines.
Venkatachalam Ramaswamy, IPCC, described complexities of GWP estimates and outlined potential alternative metrics.
Responding to concerns raised on the managed land proxy to account for anthropogenic changes in carbon stocks, Eggleston reported that the task force on inventories is proposing considering new scientific input on this at the next IPCC plenary.
On reporting experiences, NEW ZEALAND, the EU, NORWAY, CANADA and SWITZERLAND supported using the 2006 IPCC Guidelines during the second commitment period, but said further methodological work may be necessary.
CHINA underscored potential problems resulting from a change in reporting methodologies. BRAZIL highlighted shortcomings of GWPs, stating that they overestimate the impact of methane.
The EU and NORWAY supported the use of GWPs, with the EU highlighting the GWP approach as the most suitable for converting emissions to a common equivalent unit.
NEW ZEALAND underscored the impact of GWPs on mitigation potential.
He called for consistent treatment of GWPs, stressing that they are also relevant for the AWG-LCA s work on MRV and mitigation potential.
AWG Vice-Chair Konate said his summary of the discussions will be available Monday.
Following consultations on Friday, a draft text on possible improvements to the flexible mechanisms was made available Saturday morning.
The document lists possible improvements to the scope, effectiveness and efficiency, accessibility, contribution to sustainable development, capacity to generate co-benefits, and transfer of technology under each of the three mechanisms.
A contact group is convening Monday morning.
In informal consultations, parties agreed to base discussions on the Co-Chairs draft text on the CGE and on the provision of financial and technical support, with several parties making preliminary comments.
Consultations will continue on Monday.
In the contact group, SAUDI ARABIA and KUWAIT opposed discussing international aviation and maritime emissions, stressing IMO and ICAO as the right fora.
Stressing the principle of common but differentiated responsibilities, INDIA supported discussing this issue under the UNFCCC.
With BRAZIL, he expressed concerns over the issue becoming a sectoral approach.
The EU, CANADA, NORWAY and NEW ZEALAND called for a comprehensive global approach to these emissions. CANADA expressed a preference for discussing the issue under the AWG-LCA, and AUSTRALIA emphasized that the focus in the AWG-KP must be on Annex I domestic emissions.
BRAZIL, CHINA and SOUTH AFRICA stressed that there are no links between AWG-KP and AWG-LCA. JAPAN said the issue was complex and the expertise of IMO and ICAO was needed.
The EU recognized IMO s and ICAO s technical competence but said the UNFCCC should show leadership.
MICRONESIA and TUVALU stressed the aviation and maritime sectors potential for generating revenue for adaptation.
AWG Chair Dovland noted lack of consensus and said he would consider how to proceed. AWG Chair Dovland said the message from the methodological workshop was to continue using GWPs and the basket of gases.
BRAZIL highlighted problems with GWPs, and NEW ZEALAND said they would be open to considering other methods.
Dovland said the GWP issue would be reconsidered in Ghana.
Informal consultations will continue on Monday evening.
In informal consultations, delegates discussed Co-Chairs draft conclusions, focusing on the main elements of outstanding methodological issues.
Many parties stressed the need for less prescriptive text, with others expressing concern that including specific options at this stage would prejudice outcomes.
A number of parties urged consideration of all forest-related activities in a post-2012 regime.
One stressed the importance of defining degradation.
Other issues raised included conservation, national versus sub-national approaches, and third party verification.
Parties were invited to submit text to the chairs by Monday morning prior to consultations Monday afternoon.
During informal consultations, delegates discussed Co-Chairs draft conclusions, finalizing four of the six paragraphs, including text requesting a list of relevant research organizations from the Secretariat.
A revised text will be available from Monday morning.
Informal consultations continued on this issue, with little progress reported.
Consultations will continue on Monday afternoon.
The mood of delegates ranged from relaxed to disgruntled on Saturday, largely depending on which meeting or group they attended.
While there were smiles on the faces of those in discussions on capacity building or on research and systematic observation, for instance, those working on adaptation and the financial mechanism seemed less satisfied.
Some delegates were talking about mandate issues - in particular, what track or body was the most appropriate for certain topics relevant to the post-2012 negotiations.
Several noted different views on where to have discussions on international aviation and maritime emissions.
A few experienced negotiators were noting some changes in attitude on this issue, not only in terms of where it should be discussed under the UNFCCC process, but also in terms of the competence of the UNFCCC vis-à vis external bodies.
Many seemed excited at the prospect of some time off, with no formal negotiations booked between Saturday evening and Monday morning.
First, I ll go to the NGO party, then on Sunday I ll relax and watch one of the Euro 2008 games, said a smiling delegate, referring to Europe s biggest football (soccer) tournament, which started this weekend.
During informal consultations, parties considered dividing relevant topics into near-term and long-term issues.
They also addressed a proposal from Tuvalu to negotiate a stand-alone instrument on privileges and immunities, and discussed procedural questions.
The Co-Chairs will prepare draft text for Monday.
In the contact group, NEW ZEALAND underscored mitigation technologies for agriculture.
The G-77/CHINA highlighted equal treatment for mitigation and adaptation technologies and emphasized the need to establish a technology transfer mechanism under the Convention.
The EU supported institutional arrangements under the Convention and suggested a new coordinating body.
JAPAN said technology must be the core element of a future agreement and highlighted a sectoral approach.
GHANA stressed MRV on technology transfer, suggesting reporting guidelines, annual communications by Annex I parties, and linkages to the Convention review mechanism.
The AFRICAN GROUP identified intellectual property rights as a major barrier and said adaptation does not attract private sector investment.
The US said much has changed since the Convention was agreed, and CHINA said lack of implementation by Annex I parties has not changed.
The EU highlighted the connection between carbon price and technology transfer.
AOSIS underscored early warning technologies.
PAKISTAN stressed compulsory licensing.
In the contact group, Chair Machado introduced the summary of the workshop on financing and investment (FCCC/AWGLCA/2008/CRP.3).
He suggested focusing on five areas: the need for predictable and sustainable financial resources; the scale of funds required; the scope of funds available through the Convention and market mechanisms, and role of enabling policies to influence private sector investments; additional information on proposals from parties on a new financial framework; and new and additional resources under the Convention now, up to and beyond 2012.
The G-77/CHINA said funding should come from implementation of Annex I countries commitments.
The US said the private sector should become the main source of funding.
INDIA, the AFRICAN GROUP, CHINA and AOSIS stated that the private sector can play only a limited role.
The AFRICAN GROUP called for balanced consideration of financing for mitigation and adaptation.
BANGLADESH called for financing for risk reduction.
The EU underlined the role of the carbon market, innovative financing and leveraging private investments, and suggested examining proposals before the Ghana meeting.
The group will continue discussions on Monday focusing on a shared vision and mitigation.
This group met informally and considered the Co-Chairs draft text.
Agreement was reached on the terms of reference for the second comprehensive review of the capacity building framework, and on most of the SBI draft conclusions.
Informal consultations will continue on Tuesday afternoon, focusing mainly on a draft COP decision.
Outlining the activities conducted under the NWP, SBSTA Chair Plume encouraged parties and other stakeholders to share their experiences and needs.
Presenters from the IPCC and World Climate Research Programme considered advances in regional climate models, downscaling techniques for developing regional or subregional climate scenarios, and capacity building.
The workshop also included a presentation from UNDP on practical steps to make climate model outputs and downscaled data more relevant to policy makers.
In the subsequent discussion, participants stressed, inter alia : dialogue between users and developers; the importance of addressing decision makers needs; a risk management approach; the use of the full range of scenarios; different temporal scales; and the utility of regional centers.
For more information, visit: http://unfccc.int/4377.php
In this contact group, many delegates raised concerns about the heavy workload under multiple bodies at COP 14 and COP/MOP 4, with some suggesting deferring items that are not critical to finalizing a post-2012 framework.
AUSTRALIA and others expressed concerns about adding pre-conference events that would result in three weeks of meetings, and about the workload implications of parallel ministerial meetings.
Delegates also raised concerns about accommodation in Poznan, with INDIA noting astronomical prices.
POLAND said accommodation was available and a logistics team had been established to assist.
Developing countries introduced a draft proposal on this subject.
On input to the GEF on its fifth replenishment, they said the final text should reflect developing countries concerns on RAF allocation and access to funding and financing for non-Annex I communications.
They also proposed requesting additional information from the GEF, such as on the nature and objectives of co-financing.
On the fourth review, developing countries said it should be comprehensive and oriented towards non-Annex I parties needs.
They proposed that the Secretariat prepare a paper on how initiatives of multilateral financial institutions conform to the Convention s principle of unconditional funding and assist countries in assessing their financial needs to implement mitigation and adaptation measures.
Discussions will continue on Monday morning.
Informal consultations continued on a draft text that lists options and issues for consideration.
Some parties raised concerns about inclusion of the LULUCF principles in decision 16/CMP.1.
Another party suggested adding text on agreement on definitions and guidelines.
A new document will be available Monday morning prior to informal consultations and a contact group.


A general look at something; a general examination of a situation or a subject.
In data handling a survey is a means of collecting a sample of data. The process usually involves four steps:
deciding what subject is of interest;
what questions to ask;
what type of people will you ask; and
exactly which people will be asked.
A survey can also mean the process of making a detailed accurate map of a piece of land by measuring distances and angles.


[1] Nice pictures very firendly sometimes dust reduction does NOT work miracles be the cover.
[2] Nice pictures very firendly sometimes dust reduction does NOT work miracles be prepared to figure out manual modes high isos perfect balance between performance superb image ratio.


Friday - November 13, 2020
TECH
Researchers are developing robot swarms that turn into buildings, vehicles, and more
INSIGHTS
My memory sucks — but it’s made me a better leader
Latest News
Lorem, ipsum dolor sit amet consectetur adipisicing elit. Ut quam exercitationem est, molestias architecto maiores dolorum beatae?
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Lorem ipsum dolor sit amet consectetur, adipisicing elit. Dicta, eveniet? Possimus quod ipsam voluptatem sequi harum dolor,
Latest funding rounds on index.co
Hard Fork
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Apps
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Gears
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Tech
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Creative
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Podium
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Insights
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Launch
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India
Distract
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Latest
Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Tencent bounces hard after President Xi spooks market into $200B tech selloff
- Warren Buffett might've just sold $5B worth of Apple stock
- Traders dump Zoom for Expedia as Pfizer vaccine teases life after COVID
- Is Bitcoin a good hedge against the market? It depends on your horizon
- After two years in test mode, WhatsApp Pay finally launches in India


Describes a touch location
@abstract Initializes a touch.
- (nonnull instancetype)initWithTouchEvent:(nonnull SDLTouchEvent *)touchEvent;
init(touchEvent: SDLTouchEvent)
Incoming touch event from onOnTouchEvent notification.
SDLTouch Instance of SDLTouch.
@abstract Identifier of the touch’s finger. Refer to SDLTouchIdentifier for valid identifiers.
@property (nonatomic, readonly) NSInteger identifier;
var identifier: Int { get }
@abstract Location of touch point, in the head unit’s coordinate system.
@property (nonatomic, readonly) CGPoint location;
var location: CGPoint { get }
@abstract Timestamp in which the touch occurred.
@property (nonatomic, readonly) NSUInteger timeStamp;
var timeStamp: UInt { get }
@abstract Returns whether or not this touch is a first finger.
@property (nonatomic, readonly) BOOL isFirstFinger;
var isFirstFinger: Bool { get }
@abstract Returns whether or not this touch is a second finger.
@property (nonatomic, readonly) BOOL isSecondFinger;
var isSecondFinger: Bool { get }