The increase in delays in the National Airspace System (NAS) has been the subject of several studies in recent years. These reports contain delay statistics over the entire NAS, along with some data specific to individual airports, however, a comprehensive characterization and comparison of the delay distributions is absent
Get Started The data is taken from Data Expo 2009 challenge which consists of flight arrival and departure details for all commercial flights within the USA, from January 2004 to April 2008. This is a large dataset: 4 gigabytes when uncompressed.
The U.S. Department of Transportation's (DOT) Bureau of Transportation Statistics (BTS) tracks the on-time performance of domestic flights operated by large air carriers. Summary information on the number of on-time, delayed, canceled and diverted flights appears in DOT's monthly Air Travel Consumer Report, published about 30 days after the month's end, as well as in summary tables posted on this website.Summary statistics and raw data are made available to the public at the time the Air Travel Consumer Report is released.
Reference Links:
https://www.transtats.bts.gov/OT_Delay/OT_DelayCause1.asp
http://stat-computing.org/dataexpo/2009/the-data.html
You can find my personal details below.
Name: Pratik Singh
Project: Advanced Database Management Systems
School: Northeastern University
NUID: 001625041
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1G/ Pocket B8,Mayur Vihar Phase–3, Delhi 110096
Saurabh Sinha:<PHONE_NUMBER> Mohd Shahabuddin:<PHONE_NUMBER>
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Architecture
Overview
Puma
is a threaded web server, processing requests across a TCP or UNIX socket.
Workers accept connections from the socket and a thread in the worker's thread pool processes the client's request.
Clustered mode is shown/discussed here. Single mode is analogous to having a single worker process.
Connection pipeline
- Upon startup,
Puma
listens on a TCP or UNIX socket.- The backlog of this socket is configured (with a default of 1024), determining how many established but unaccepted connections can exist concurrently.
- This socket backlog is distinct from the "backlog" of work as reported by the control server stats. The latter is the number of connections in that worker's "todo" set waiting for a worker thread.
- By default, a single, separate thread is used to receive HTTP requests across the socket.
- When at least one worker thread is available for work, a connection is accepted and placed in this request buffer
- This thread waits for entire HTTP requests to be received over the connection
- The time spent waiting for the HTTP request body to be received is exposed to the Rack app as
env['puma.request_body_wait']
(milliseconds)
- The time spent waiting for the HTTP request body to be received is exposed to the Rack app as
- Once received, the connection is pushed into the "todo" set
- Worker threads pop work off the "todo" set for processing
- The thread processes the request via the rack application (which generates the HTTP response)
- The thread writes the response to the connection
- Finally, the thread become available to process another connection in the "todo" set
Disabling queue_requests
The queue_requests
option is true
by default, enabling the separate thread used to buffer requests as described above.
If set to false
, this buffer will not be used for connections while waiting for the request to arrive.
In this mode, when a connection is accepted, it is added to the "todo" queue immediately, and a worker will synchronously do any waiting necessary to read the HTTP request from the socket.


Vaccine Scheduler
Select file with registrations :
Example Data
Select Your algorithm :
FCFS
Priority
Enter Number Of Vaccines Per Day :
Calculate
Show Data


Movements: [LEFT] [RIGHT], Jump: [X] or [SPACEBAR], you can press jump in midair to perform a double jump.
@rex64_
|
LD48
|
Github


How to remove makeup properly
by Lorraine ScrivenerIt’s time to ditch the remover wipes and switch to gentler, kinder techniques for taking off mascara and cleaning your pores
Makeup remover wipes are not only bad for the environment – they can also damage your skin. While they seem like a quick fix, their material can be abrasive and their harsh ingredients often strip the skin of its natural oils, leading to sensitivity and breakouts.
To remove your makeup properly, you should start with the delicate skin around the eyes. Instead of wipes, saturate three cotton discs with a cleanser specifically designed for the eye area, cutting one pad in half to place under each eye.  Instead, hold the cotton pads on each eye for 60 seconds to allow the makeup to break down before gently wiping it off.
When it comes to your skin, the most important thing is to double cleanse.  Choose a cleanser that suits your skin type for the best results.
If you opt for a foaming cleanser, rub a pea-sized amount between wet hands and apply to the face using upward circular motions. Wash it off using your hands and tepid water – facial cloths can be abrasive. When using a cream cleanser, rub a 10p-sized amount on to dry or slightly moistened skin. Remove gently with damp cotton pads or splash off with water.
It’s important to cleanse your entire face, including the creases of the nose, your hairline and neck. Lastly, always ensure you pat the skin dry rather than rub.
Lorraine Scrivener, a skincare expert and director of the Eden Skin Clinics in London, was speaking to Alice Macfarlane


I’m A Celebrity merged with Love Island and it was quease-inducing
It was only a matter of time before I’m A Celebrity merged with Love Island but we were not prepared for the quease-inducing antics on the daybeds.
This year’s batch of campmates, including Caitlyn Jenner, Ian Wright and Jacqueline Jossa, had to take part in Jungle Love Island in order to win roast dinners during Sunday night’s live challenge.
Only, the bikini-clad islanders were replaced with all kinds of creepy crawlies from snakes to critters, as the campmates were put through gruelling tasks to win stars for their dinner.
First up, Caitlyn, Jacqueline and Ian had to do a spot of apple-bobbing to find stars buried in a pie filled with – wait for it – a delightful cocktail of slime and cockroaches.
Cliff, Adele, Roman and James were up next and had 90 seconds to get as many pig testicles from one bowl to the next but were only allowed to do so using their mouths.
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Yes, you guessed it, they literally had to pass the testicles to each other, one-by-one by clasping it in their teeth.
And we’re going to need a bucket.
Andrew had to drink a milkshake called Caroline Yack, which featured blended cockroaches, while Caitlyn had to knock back a drink called Ian Hurling, featuring blended vomit fruit. Ian was also given blended pigs penises to win his roast dinner because apparently the slime and cockroaches pie from earlier wasn’t enough.
Although, perhaps it was made a little better by the fact they got to sit in the hot tub?
Amber, Anna and co. could never.
Unfortunately, James and Roman weren’t able to win their challenge of unscrewing stars in boxes filled with crabs, bees and other creatures.
When hosts Ant & Dec asked what went wrong during the challenge, James snapped back: ‘What went wrong? The very fact there was a giant crab in the way that you wanted me to carefully caress in a different direction while I was turning a star in his face.’

Ian, Cliff and Andy were the only campmates who wouldn’t be receiving roast dinners after failing their challenges.
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On the bright side, at least they took a quick trip to the Love Island villa.
I’m A Celebrity airs each night on ITV at 9pm.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Is this what Tesla's Cybertruck electric pickup looks like?
by Gary GasteluThe pieces of Tesla’s Cybertruck pickup may be coming together.
A member of the CYBRTRK Owners Club fan forum has made a composite of the two teaser images of the upcoming electric truck that have been released so far to create a picture of what it might look like when it debuts on Thursday night.
Melded together, the shadowy renderings appear to depict the front of a truck with cab-forward layout and a windshield that continues to the bumper in a single plane without a traditional hood. A light bar stretches the full width of the vehicle and its tires and high ground clearance are visible underneath.
Tesla CEO Elon Musk has said the pickup’s design was inspired by the vehicles in the film “Blade Runner” and chose November 2019 to reveal it because that’s when the movie was set. He has also said it looks like an armored personnel carrier from the future, which the CYBRTK image supports.
The forum may have previously discovered a stick drawing of the vehicle hidden in its trademarked logo, the letters of which can be moved around to create an outline of a truck that looks very much like what the teaser composite illustrates.
SEE MORE FROM THE CYBRTRK OWNERS CLUB
The truck’s styling will be confirmed when it rolls onto the stage at SpaceX headquarters in Hawthorne, Calif. Technical details are still secret, but Musk has said it is aimed at delivering both the pickup capabilities of a Ford F-150 and the performance of a Porsche 911 and could have a base price of $49,000 when it goes on sale, likely not before 2021.


HBase filters may be collected into lists using FilterList each with a MUST_PASS_ALL or MUST_PASS_ONE (logical) operator. Lists may then be assembled into hierarchies used to represent complex expression trees filtering either rows or columns in HBase.


Data Fields | |
| struct vtable * | args |
| struct vtable * | vars |
| struct vtable * | used |
| struct local_vars * | prev |
Definition at line 402 of file ripper.c.
struct vtable * local_vars::args [read] |
Definition at line 403 of file ripper.c.
Referenced by local_push_gen().
struct local_vars * local_vars::prev [read] |
Definition at line 406 of file ripper.c.
Referenced by local_push_gen(), parser_free(), and parser_memsize().
struct vtable * local_vars::used [read] |
Definition at line 405 of file ripper.c.
Referenced by local_push_gen(), and warn_unused_var().
struct vtable * local_vars::vars [read] |
Definition at line 404 of file ripper.c.
Referenced by local_push_gen(), parser_free(), parser_memsize(), and warn_unused_var().


How to clear the cache and cookies in Chrome
"Cached" data can easily take up a lot of storage space on your device. These caches of data(images, scripts, and other parts of a website) are stored on your hard disk so that future requests for the data can be served faster.
Cookies are small files that hold data specific to a particular client and website. They can be accessed by web servers to deliver a page tailored to the user. Follow the step by step instructions in this article to delete the cache and cookies when using Google Chrome.
Note: Clearing all cookies and site data stored by your web browser may sign you out of websites and remove offline web content. Clearing cache data will not affect your logins.
Step 1:
- Click on the Menu button, located on the upper right corner.
- Select History from the drop-down menu.
Step 2:
- On the left side column, click on Clear all browsing data.
Step 3:
- Choose From the beginning of time and click on Clear browsing data.
- Note: Make sure the boxes next to Cookies and other site data and Cached images and files are checked.


Please check if proper AWS S3 Access and Secret Keys are added in the application.properties files
Learn more


title = "contact"
url = "/contact"
layout = "default"
is_hidden = "0"
==
Name: ".$value1 ."
Email: ". $value2."
Phone: ".$value3."
Message: ". $value4;
}
?>
==
H-104, Radhika Park
Wadgaonsheri, Pune
P:<PHONE_NUMBER>
H: Monday - Friday: 9:00 AM to 5:00 PM


class: center, middle, inverse, title-slide # Lecture 5 ## GEV ### Tyler Ransom ### ECON 6343, University of Oklahoma --- # Attribution Many of these slides are based on slides written by Peter Arcidiacono. I use them with his permission. These slides also heavily follow Chapter 4 of Train (2009) --- # Plan for the day 1. Nested Logit - two-step estimation 2. Generalized Extreme Value Distributions - multinomial logit and nested logit as special cases 3. Bresnahan, Stern, and Trajtenberg (1997) - allows for correlations across multiple nests --- # Red bus / blue bus choice set - As we discussed last time, adding another bus results in odd substitution patterns - This is because of the IIA property of multinomial logit models
 --- # Nesting the choice set - One way to get around IIA is to .hi[nest] the choice set - Nesting explicitly introduces correlation across alternatives within the same nest
 --- # Other cases where nesting is useful - Red bus / blue bus came from the transportation economics literature - But nesting is used in all fields of economics - Elections - Suppose we have two candidates, A and B - If we introduce C, whose platform resembles B, what will new vote shares be? - (Primary elections are a kind of nesting) - Product markets - Nesting "branded" and "generic" products (e.g. branded vs. micro-brewed beer) - But some consumers won't purchase either type of the product - Ignoring non-buyers, will give misleading price elasticities of demand --- # Nested Logit - Coming back to the red bus/blue bus problem, we would like some way for the errors for the red bus to be correlated with the errors for the blue bus - The .hi[nested logit] allows a nest-specific error: .small[ `\begin{align*} U_{i,RedBus}&=u_{i,RedBus\phantom{e}}+\nu_{i,Bus}+\lambda\epsilon_{i,RedBus}\\ U_{i,BlueBus}&=u_{i,BlueBus}+\nu_{i,Bus}+\lambda\epsilon_{i,BlueBus}\\ U_{i,Car}&=u_{i,Car\phantom{eBus}}+\nu_{i,Car}+\lambda\epsilon_{i,Car} \end{align*}` ] where: 1. `\(\nu_{ik}+\lambda\epsilon_{ij}\)` is distributed Type I Extreme Value 2. The `\(\nu\)`'s and the `\(\epsilon\)`'s are independent 3. `\(\epsilon_{ij}\)` is distributed Type I extreme value 4. Distribution of `\(\nu_k\)`'s is derived in Theorem 2.1 of Cardell (1997) --- # Nested Logit 2 - Composite error term for car is independent from either the red bus error or the blue bus error - If we added a yellow bus, all errors in the bus nest would be independent conditional on choosing to take a bus (i.e. .hi[IIA within nest]) - But the bus nest errors are correlated from the viewpoint of the top level (i.e. before conditioning on nest choice) - Note: adding two extreme value errors does .hi[not] give back an extreme value error - But the difference between two T1EV errors is distributed logistic --- # Nested Logit 3 - More important than the exact error distribution is the choice probabilities: `\begin{align*} P_{iC}&=\frac{\exp(u_{iC})}{\left[\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)\right]^{\lambda}+\exp(u_{iC})}\\ P_{iRB}&=\frac{\exp\left(\frac{u_{iRB}}{\lambda}\right)\left[\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)\right]^{\lambda-1}}{\left[\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)\right]^{\lambda}+\exp(u_{iC})} \end{align*}` - Not particularly intuitive, but can break it down into parts `\(P(B)P(RB|B)\)`: `\begin{align} P_{iRB}&=\left(\frac{\left[\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)\right]^{\lambda}}{\left[\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)\right]^{\lambda}+\exp(u_{iC})}\right)\times\label{eq:pbus}\\ &\phantom{\times\times}\left(\frac{\exp\left(\frac{u_{iRB}}{\lambda}\right)}{\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)}\right)\nonumber \end{align}` --- # Nested Logit Estimation The log likelihood can then be written as: .small[ `\begin{align*} \ell&=\sum_{i=1}^N\sum_{j\in J}(d_{ij}=1)\ln(P_{ij})\\ &= \sum_{i=1}^N\left[(d_{iC}=1)\ln(P_{iC})+\sum_{j\in J_B}(d_{ij}=1)\ln(P_{iB}P_{ij|B})\right]\\ &=\sum_{i=1}^N\left[(d_{iC}=1)\ln(P_{iC})+\sum_{j\in J_B}(d_{ij}=1)(\ln(P_{iB})+\ln(P_{ij|B}))\right]\\ &=\sum_{i=1}^N\Bigg[(d_{iC}=1)\ln(P_{iC})+(d_{iBB}=1+d_{iRB}=1)\ln(P_{iB})\\ &\qquad+\left.\sum_{j\in J_B}(d_{ij}=1)\ln(P_{ij|B})\right] \end{align*}` ] --- # Nested Logit Estimation 2 - Could estimate a nested logit by straight maximum likelihood. An alternative follows from decomposing the nests into the product of two probabilities: `\(P(RB|B)P(B)\)` - In order to do this, however, first decompose `\(u_{RB}\)` into two parts: `\begin{align*} u_{iRB}&=u_{iB}+u_{iRB|B} \end{align*}` - We also need to choose normalizations: - `\(u_{iC} = 0\)` - `\(u_{iBB|B} = 0\)` - So we will estimate `\((\beta_{B},\beta_{RB}, \gamma,\lambda)\)` where `\(\gamma\)` corresponds to the `\(Z\)`'s (alt-specific) --- # Nested Logit Estimation 3 - Note that our normalizations imply the following observable components of utility `\begin{align*} u_{iC}&=0\\ u_{iBB}&=\beta_{B}X_{i}+\gamma (Z_{BB}-Z_{C})\\ u_{iRB}&=(\beta_{B}+\beta_{RB})X_{i}+\gamma (Z_{RB}-Z_{C}) \end{align*}` - Now estimate `\(\beta_{RB}\)` and `\(\gamma\)` in a 1st stage using only observations that chose bus, `\(N_B\)`: `\begin{align*} \ell_1&=\sum_{i=1}^{N_B}(d_{iRB}=1)(u_{iRB|B}/\lambda)+\ln\left(1+\exp(u_{iRB|B}/\lambda)\right) \end{align*}` - The `\(1\)` in the `\(\ln()\)` operator corresponds to `\(\exp(u_{iBB|B}/\lambda)\)` since `\(u_{iBB|B} = 0\)` --- # Nested Logit Estimation 4 - Now consider the term in the numerator of `\(P(B)\)` in \eqref{eq:pbus}. We can rewrite this as: `\begin{align*} \left[\exp\left(\frac{u_{iRB}}{\lambda}\right)+\exp\left(\frac{u_{iBB}}{\lambda}\right)\right]^{\lambda}&= \exp(u_{iBB})\left[\exp\left(\frac{u_{iRB|B}}{\lambda}\right)+1\right]^{\lambda}\\ &=\exp(u_{iBB}+\lambda I_{iB}) \end{align*}` where `\(I_{iB}\)` is called the .hi[inclusive value] and is given by: `\begin{align*} I_{iB}&=\ln\left(\exp\left(\frac{u_{iRB|B}}{\lambda}\right)+1\right) \end{align*}` Note: looks like `\(E\left(\text{utility}\right)\)` associated with a particular nest (minus Euler's constant) --- # Nested Logit Estimation 5 - Taking the estimates of `\(u_{iRB|B}\)` as given and calculating the inclusive value, we now estimate a second logit to get `\(\beta_B\)`: `\begin{align*} \ell_2&=\sum_i(d_{iB}=1)(u_{iBB}+\lambda I_{iB}-u_{iC})+\ln(1+\exp(u_{iBB}+\lambda I_{iB}-u_{iC})) \end{align*}` - Could do all this because log of the probabilities was additively separable. Consider the log likelihood contribution of someone who chose red bus: `\begin{align*} \ln(P_{iB}(\beta_{B},\beta_{RB},\gamma,\lambda))&+\ln(P_{iRB|B}(\beta_{RB},\gamma)) \end{align*}` - We get estimates of `\(\beta_{RB}\)` and `\(\gamma\)` only from the second part of log likelihood - Then we take these as given when estimating `\(\beta_{B}\)` and `\(\lambda\)` --- # The Nested Logit as a Dynamic Discrete Choice Model - Instead of having individuals know their full error, consider the case where the error is revealed in stages - First individuals choose whether or not to ride the bus and there is an extreme value error associated with both the bus and the car option - Individuals take into account that if they choose the bus option they will get to make a choice about which bus in the next period (option value) - With the errors in the second choice also distributed Type I extreme value, independent from each other, and independent from the errors in the first period, the expectation on the value of the second period decision is `\(\lambda I_{iB}\)` plus Euler's constant. --- # Proposition 1 (McFadden, 1978) Let `\(Y_{j}=e^{u_{j}}\)`. Suppose we have a function `\(G(Y_{1},...,Y_{{J}})\)` that maps from `\(R^{{J}}\)` into `\(R^1\)` If `\(G\)` satisfies: 1. `\(G\geq 0\)` 2. `\(G\)` is homogeneous of some degree `\(k\)` 3. `\(G\rightarrow \infty\)` as `\(Y_{j}\rightarrow \infty\)` for any `\(j\)` 4. Cross partial derivatives weakly alternate in sign, beginning with `\(G_{i}\geq 0\)` --- # Proposition 1 (Continued) then: `\begin{align*} F(u_1,...,u_\mathcal{J})&=\exp\left[-G(Y_1,....,Y_{J})\right] \end{align*}` is the cumulative distribution of a multivariate extreme value function and: `\begin{align*} P_{i}&=\frac{Y_{i}G_{i}}{G} \end{align*}` where `\(G_i\)` denotes the derivative of `\(G\)` with respect to `\(Y_i\)` --- # Logit from GEV - Another way of thinking about the last statement is that: `\begin{align*} P_i&=\frac{\partial \ln(G)}{\partial u_i} \end{align*}` - For the multinomial logit case, the `\(G\)` function is: `\begin{align*} G&=\sum_{j=1}^{{J}}\exp(u_j) \end{align*}` with the derivative of the log of this giving multinomial logit probabilities - But `\(\ln(G)\)` (plus Euler's constant) is .hi[also] expected utility - In fact, for all GEV models `\(\ln(G)\)` is expected utility! --- # Nested Logit from GEV - Suppose a nested logit model with two nests `\((F,NF)\)` and a no-purchase option `\(N\)` - The `\(G\)` function is then: `\begin{align*} G&=\left(\sum_{j\in F}\exp(u_j/\lambda_F)\right)^{\lambda_F}+\left(\sum_{j\in NF}\exp(u_j/\lambda_{NF})\right)^{\lambda_{NF}}+\exp(u_N) \end{align*}` - Differentiating `\(\ln(G)\)` (the expected utility function) with respect to `\(u_j\)` where `\(k\in F\)` yields the probability `\(k\)` is chosen: `\begin{align*} P_k&=\frac{\exp(u_k/\lambda_F)\left(\sum_{j\in F}\exp(u_j/\lambda_F)\right)^{\lambda_F-1}}{\left(\sum_{j\in F}\exp(u_j/\lambda_F)\right)^{\lambda_F}+\left(\sum_{j\in NF}\exp(u_j/\lambda_{NF})\right)^{\lambda_{NF}}+\exp(u_N)} \end{align*}` --- # Overlapping nests (Bresnahan et al., 1997) - We can also come up with more general nesting structures - Bresnahan, Stern, and Trajtenberg (1997) model 4 overlapping nests for computers: 1. Branded but not Frontier `\(\{B,NF\}\)` 2. Generic but Frontier `\(\{NB,F\}\)` 3. Branded and Frontier `\(\{B,F\}\)` 4. Generic but not Frontier `\(\{NB,NF\}\)` - Use the model to understand market power in PC sector in late 1980s - Overlapping nests explain coexistence of imitative entry and innovative investment --- # References .smaller[ Bresnahan, T. F, S. Stern, and M. Trajtenberg (1997). "Market Segmentation and the Sources of Rents from Innovation: Personal Computers in the Late 1980s". In: _The RAND Journal of Economics_ 28.0, pp. S17-S44. DOI: [10.2307/3087454](https://doi.org/10.2307%2F3087454). Cardell, N. S. (1997). "Variance Components Structures for the Extreme-Value and Logistic Distributions with Application to Models of Heterogeneity". In: _Econometric Theory_ 13.2, pp. 185-213. URL: [https://www.jstor.org/stable/3532724](https://www.jstor.org/stable/3532724). McFadden, D. (1978). "Modelling the Choice of Residential Location". In: _Spatial Interaction Theory and Planning Models_. Ed. by A. Karlqvist, L. Lundqvist, F. Snickers and J. W. Weibull. Amsterdam: North Holland, pp. 75-96. Train, K. (2009). _Discrete Choice Methods with Simulation_. 2nd ed. Cambridge; New York: Cambridge University Press. ISBN:<PHONE_NUMBER>555. ]


Posted by A Random Dude on October 30, 2016
Posted by That One Guy on September 18, 2015
Posted by Ash Williams on June 12, 2014
Posted by Jamal Crawford on December 18, 2010


Class SpatialMap<T>
An implementation of ISpatialMap<T> that allows only one item at each position at a time. If you need multiple items to be able to reside at one location at the same time, use MultiSpatialMap<T> or LayeredSpatialMap<T> instead.
Inherited Members
Namespace: SadRogue.Primitives.SpatialMaps
Assembly: TheSadRogue.Primitives.dll
Syntax
public sealed class SpatialMap<T> : AdvancedSpatialMap<T>, ISpatialMap<T>, IReadOnlySpatialMap<T>, IEnumerable<ItemPositionPair<T>>, IEnumerable where T : class, IHasID
Type Parameters
| Name | Description |
|---|---|
| T | The type of object that will be contained by this SpatialMap. Must implement IHasID and be a reference-type. |
Remarks
See the ISpatialMap<T> for documentation on the practical purpose of spatial maps.
The objects stored in a SpatialMap<T> must implement IHasID. This is used internally to keep track of the objects, since uints are easily (and efficiently) hashable. If you cannot or do not wish to implement this interface, use AdvancedSpatialMap<T> instead.
Constructors
SpatialMap(IEqualityComparer<Point>, Int32)
Constructor.
Declaration
public SpatialMap(IEqualityComparer<Point> pointComparer = null, int initialCapacity = 32)
Parameters
| Type | Name | Description |
|---|---|---|
| IEqualityComparer<Point> | pointComparer | Equality comparer to use for comparison and hashing of points, as object are added to/removed from/moved around the spatial map. Be especially mindful of the efficiency of its GetHashCode function, as it will determine the efficiency of many SpatialMap functions. Defaults to the default equality comparer for Point. |
| Int32 | initialCapacity | The initial maximum number of elements the SpatialMap can hold before it has to internally resize data structures. Defaults to 32. |


Join Us
Code for OKC is an all volunteer group and we’d love to have you participate in any way that you can.
Meetings
Code for OKC meets on the 4th Monday of each month at StarSpace46.
Please see our Meetup Page for additional times and details, and to RSVP to let us know that you’re coming.
On the second Wednesday of each month at 8pm we will host a virtual meeting on Slack.
GitHub
Some of our projects have dedicated repos on GitHub and will have their own discussions happening in the “issues” area.
Chat
We also have a Slack room where we can have real-time discussions when there are lots of details to get hammered out.
Code of Conduct
Our Code of Conduct & Anti-Harassment Policy details the expectations that we have for all contributors. We value your participation and hope that by communicating these expectations widely we can all enjoy a harassment-free environment.


| 020:133 Khan | : |
They say: "Why does he not bring us a sign (proof) from his Lord?" Has there not come to them the proof of that which is (written) in the former papers [Scriptures, i.e. the Taurat (Torah), and the Injeel (Gospel), etc. about the coming of the Prophet Muhammad SAW ]. |
| 020:133 Maulana | : |
And they say: Why does he not bring us a sign from his Lord? Has not there come to them a clear evidence of what is in the previous Books? |
| 020:133 Pickthal | : |
And they say: If only he would bring us a miracle from his Lord! Hath there not come unto them the proof of what is in the former scriptures? |
| 020:133 Rashad | : |
They said, "If he could only show us a miracle from his Lord!" Did they not receive sufficient miracles with the previous messages? |
| 020:133 Sarwar | : |
They have said, "Why has he, (Muhammad), not brought some miracle from his Lord?" Have they not received the previously revealed heavenly Books as the evidence of the Truth. |
| 020:133 Shakir | : |
And they say: Why does he not bring to us a sign from his Lord? Has not there come to them a clear evidence of what is m the previous books? |
| 020:133 Sherali | : |
And they say, 'Why does he not bring us a Sign from his Lord?' Has there not come to them clear evidence of what is contained in the former Books? |
| 020:133 Yusufali | : |
They say: "Why does he not bring us a sign from his Lord?" Has not a Clear Sign come to them of all that was in the former Books of revelation? |
Concepts/Themes Covered: أركان الإسلام > التوحيد > الكافرون > تعنت الكفار واستعجالهم بالعذاب Pillars of Islam> Islamic> The Disbelievers> The Disbelievers' Stubbornness and their Acceleration to Torture أركان الإسلام > (محمد (صلى الله عليه وسلم > أقوال الكافرين فيه Pillars of Islam> The Blessed Muhammad(PBUH)> The Disbelievers' Tales About Him(PBUH) القرآن الكريم > محاججة المنكرين والجاحدين The Holy Quran> Arguing the Denyers and the Unbelievers
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


--- layout: post authors: ["Anelda van der Walt"] title: "Weekly Update: Feb 28 - March 6, 2015" date: 2015-03-09 time: "16:30:00" tags: ["Community"] ---
| Highlights: | Do you want to help shape the future of Software Carpentry? The Software Carpentry Foundation is now calling for volunteers to serve on various standing committees. |
| NumFOCUS has been selected as a Google Summer of Code mentoring organisation. Students can apply between 16 and 27 March 2015. | |
| A Contributor Covenant was added to our lessons and other repositories to promote a harassment-free environment for contribution to Software Carpentry. | |
| Resources: | An early release version of Bioinformatics Data Skills is available via O'Reilly. Vince Buffalo's book is highly recommended for both novice and experienced bioinformaticians. |
| Opportunities: | Scientific Software Engineer positions are available at the UK Met Office |
| Changes: | Daisie Huang will be taking over from Jess Hamrick to maintain our Git lessons with Ivan Gonzalez. Our thanks to Jess for all her help. |
Details
Repository Activity
| Project | Issues | Pull Requests | ||||
|---|---|---|---|---|---|---|
| Opened | Closed | Comments | Opened | Closed | Comments | |
| shell-novice | 1 | 2 | 31 | 9 | 8 | 4 |
| git-novice | 2 | 8 | 3 | 5 | ||
| hg-novice | 1 | 1 | ||||
| sql-novice-survey | 3 | 3 | 2 | 1 | ||
| python-novice-inflammation | 1 | 8 | 5 | 4 | 7 | |
| r-novice-inflammation | 1 | 12 | 7 | 3 | 9 | |
| matlab-novice-inflammation | 1 | 1 | ||||
| slideshows | ||||||
| instructor-training | 1 | 1 | 1 | 1 | ||
| amy | 5 | 2 | 52 | 9 | 9 | 4 |
| site | 3 | 3 | 30 | 11 | 12 | 30 |
| Total | 10 | 14 | 146 | 49 | 44 | 54 |


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{% extends '_layouts/enterprise.html' %}
{% set id = 'strategy-session' %}
{% set title = "Ionic Framework - Strategy Session" %}
{% set meta_description = "Book a strategy session with one of Ionic's solution architects to help kickstart your organizations mobile development." %}
{% import "_includes/macros.html" as macros %}
{% set cssPath = 'strategy-session' %}
{% set pre_footer = false %}
{% block main %}
Let's Talk Strategy
Connect with an Ionic Solutions Engineer for a tailored discussion on how Ionic can jumpstart your app dev strategy.
Strategy sessions are tailored to your needs. Here are some example topics you might cover:
Architecture and tech stack review
Your development goals & challenges
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Questions on how Ionic works, and when or why to use it
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Hello Dear, In view of our difficulties and problems in this country, we are so pleased to have found someone like you in whom we can confide or at least talk to. My name is susan and my brother musa, a Liberian. we are here in Senegal as a refugee. we arrived here a year ago during the peak of our national crises (civil war) our father, mr houseni was a military personel in the rebel camp. While serving in the Army, he deposited the sum of ($ 15.5 million us dollars cash) to our mother for our life inheritance.In a prime bank here in Dakar Senegal. He (my father) drowned in a river while attempting to cross during a battle with the government troops. we are using this opportunity pleading for you to help us retrieve this money and transfer it into your account pending when we will come over to your country for investment. You will be compensated for all your efforts in actuallising this transaction with 15 percent of the total sun involved. we expect your response immediately you receive this proposal. we wait to hear from you soon through this email<EMAIL_ADDRESS>Thanks Yours Sincerely, susan and musa


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Week one down, eight more to go! For Phase 0 that is. What an experience,
it has been quite the rollercoaster for me. Day 1 I was reading through all
my orientation notes downloading everything I need and getting straight into
work but by the time week 1 ended I realised I had missed a couple orientation
links and my laptop had crashed meaning I needed a new one, and with a sick
baby at home needing my attention 24/7 I was freaking out at how behind I was.
We are now in week 2, I have a new laptop, my baby finally returned to Kohanga
on Tuesday and I spent a good 10 hours trying to read through everything again
proper and finishing my work. Im currently enjoying this course and I cant
wait to see whats in store for us all in the next few weeks.
Im quite shy to ask for help, but I'll slowly come out of my shell.
My expectations certainly have not dropped, I was told that this course is
really intense but really good, I've heard quite highly about it, which made
me want to attend it even more, but it is indeed living up to its expectations.
Im super excited as well as nervous to carry on with this work.
Time & Habits
I've recently move to Wellington for this course. I am a single mother to
a 9 month baby, Noema.  I had baby straight after 7th form and have
been on break since, now that he is getting older I figured I better do some
studies. So now I'm in full-time study, well atleast from 9am - 3pm weekdays.
I've tried Pomodoro which is really good, I use to be quite the procrastinator
when it came to school but I've been quite good with this work lately, cutting
all distrations out and taking 5 minute breaks every half an hour unless
I'm on a good roll. I need to work on dedicating 10 minutes a day on touch
typing practices.


EBD - Easton Bible DIctionary
Rabsaris
RABSARIS
"RABSARIS "chief of the Heads, one of the three officers whom Sennacherib sent from Lachish with a threatening message to Jerusalem (
2 Kings 18:17
;
Jeremiah 39:3, 13
).
"RABSARIS "chief of the Heads, one of the three officers whom Sennacherib sent from Lachish with a threatening message to Jerusalem (2 Kings 18:17; Jeremiah 39:3, 13).


Alert
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