Born and raised in Vancouver, BC, studying Computer Science at the University of British Columbia. I love building things that solve real, human problems. I found that "problems can not be solved with the same mindset that created them" as Albert Einstein once said. This is why I have taken an integrative approach to life and use my skills as an athlete, musician, and a collegiate to solve any problem that I encounter.
PHP, Java
Python
MySQL, Firebase, PostgreSQL
ReactJS, HTML5, CSS3, Javascript, JQuery, Ajax
PHP (Symfony), Java (Spring)
NodeJS (Restify)
Ionic, Android (Java)
Git, Mercurial, Jenkins, Vagrant, Anaconda
Currently a software engineering intern on the Tesla Digital Products team. My current role is working on the back-end architecture behind their payments & e-commerce system.
Worked as a full-stack developer in an Agile environment. On a day to day basis I tracked down and implement bug fixes, maintain and implement features for a web application tool used by medical schools. I was also apart of the Report Building project team which is focused on creating a reporting framework to aggregate and filter data based on various student evaluations and assessments.
As an extracurricular I regularly contribute code and work on projects at The Ubyssey. My passion for analytics has led me to help out create an analytics dashboard using the Google Analytics API
As a marketing and sponsorship executive I advertise for our well known hackathon nwHacks. On top of this, I have spent time generating leads and making deals for sponsorship at our hackathon.
Worked as an inside sales representative to sell and promote Shaw services. I would cold call customers and perform sales techniques to build instant rapport to try to close sales immediately. Throughout my time working at Shaw, I would consistently rank as top 30 nationally across hundreds of sales representatives.
Feel free to contact me. I am always open to making new friends and meeting new people.
<EMAIL_ADDRESS>Copyright © Jason Smith 2017
Icons made by Google from www.flaticon.com is licensed by CC 3.0 BY


This application shows a WebRtcEndpoint connected to itself
(loopback) with a Nose detector filter in the middle. To run
this demo follow these steps:
Open this page with a browser compliant with WebRTC
(Chrome, Firefox).
Click on Start button.
Grant the access to the camera and microphone. After the
SDP negotiation the loopback should start.
Click on Stop to finish the communication.
About the configuration:
Fps:With this paramteter we indicate the number of
frames pers seconds.The more fps, the detection will be more
robust but the computation will be worse
Size To ProcessWith this paramteter we indicate the
size of the image used to detect mouths. Higher size, the
detection will be more robust, but the computation time will be
worse. The recommended values for this option are 640x480 and
320x240. For this example the size of the image to detect faces
has been fixed to 160, if you want to change this parameter you
have to create a pipeline composed by face and mouth detector
Scale FactorThe algorithm uses different images to
detect mouths. The following image to the original are gradually
reducing its size. With this parameter we indicate such reduction
between images. The smaller the reduction, the stronger the
detection but the computation time will be worse. In this case,
the reduction for the mouth detector is fixed to 10%, higher
values result that the algorithm does not work too well.
Therefore, the scale factor is used for face detection
Show MouthsIf you check the checkbox, you will see
the mouths detected on the remote stream


--- layout: post date: 2008-02-20 time: "09:00:00" authors: ["Greg Wilson"] title: O'Reilly Creating a Web Version of Mathematica tags: ["Noticed"] ---
According to this press release, O'Reilly is partnering with Wolfram Research to create a Web 2.0 version of Mathematica that will "be browser accessible and, utilizing AJAX technologies, will emulate the desktop version of the software with remarkable fidelity". I'll be very interested to see how they handle equations (MathML isn't well supported) and grahpics (IE7 doesn't do SVG, so what, Flash? Silverlight?).


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eweb is a tiny web-server written in C, with its operating system dependent parts placed behind a series of callbacks. It should be usable within embedded devices that have a TCP/IP stack that acts like the original Berkeley Sockets stack.
You're wrong...This is the best logo ever.
To serve web-pages! :O
This web-server is heavily based on the dweb web-server, which is in turn based on the nweb web-server. They are both tiny web-servers written in C.
eweb is released under the MIT License.
The source code is on GitHub.
© 2014-2016 David's Blog
© 2018 Richard James Howe
Ajax Demo: 1


Hi, I am Gilson Varghese. In my spare time, I travel and play football. I recently went to Hampi and camped there for two days. I love beaches, since I am from a coastal area. I do trekking also. Recently I went to Gokarna and did trekking along the beaches. I love to learn new football skills. I practice dribbling skills, whenever I get an open space and a football.


ITF Nominates Nur-Sultan As Venue For India And Pakistan Davis Cup Tie
by Press Trust Of IndiaTennis News
India will travel to Nur-Sultan to take on Pakistan in the upcoming Davis Cup tie as the ITF has nominated the Kazakhstan capital to host the matches
Written By Press Trust Of India | Mumbai | Updated On: November 19, 2019 11:12 IST
India will travel to Nur-Sultan to take on Pakistan in the upcoming Davis Cup tie as the International Tennis Federation (ITF) has nominated the Kazakhstan capital to host the matches, ending days of uncertainty over the venue. The Independent Tribunal of the ITF endorsed the decision taken by the Davis Cup Committee on November 4 that the tie should be shifted to a neutral venue, keeping in mind safety and security of players and officials. Pakistan Tennis Federation (PTF) had filed an appeal contesting the decision. It argued that if Indian pilgrims can visit Pakistan without any security threat, why can't the Indian team play matches in Islamabad.
READ | Murray Will Do 'great Job' At Davis Cup, According To British Captain
ITF nominates Nur-Sultan as venue
"The ITF has communicated to us that the tie will be held in Nur-Sultan. We can't say if they rejected the PTF appeal. In a late-night communication, they just mentioned the new venue," AITA CEO Akhuori Bishwadeep told PTI.
READ | Novak Djokovic On Davis Cup: 'Being Part Of The National Team Is Something I Always Value'
The tie was scheduled to be held in September but was pushed to November 29-30 after India expressed concerns about the safety of their players due to the prevailing diplomatic tensions between the two nations following the revocation of Article 370 in Jammu and Kashmir. India have named a full-strength squad for the tie as all the top players, who had refused to travel to Islamabad, agreed to play on a neutral venue. The side will be led by top singles players Sumit Nagal and Ramkumar Ramanathan while veteran Leander Paes and Jeevan Nedunchezhiyan are likely to pair up for the doubles. Top doubles player Rohan Bopanna pulled out of the tie on Monday after suffering a shoulder injury.
READ | Bopanna Pulls Out Of Tie Against Pakistan Due To Shoulder Injury
READ | Davis Cup 2019 Live Streaming Details, Groups, Schedule And Preview


Pratt's original formulation worked with functional languages in which everything is an expression. Most mainstream languages have statements. We can easily handle statements by adding another method to tokens, std (statement denotation). An std is like a nud except that it is only used at the beginning of a statement.
The statement function parses one statement. If the current token has an std method, the token is reserved and the std is invoked. Otherwise, we assume an expression statement terminated with a ;. For reliability, we reject an expression statement that is not an assignment or invocation:
var statement = function ( ) { var n = token, v; if (n.std) { advance( ); scope.reserve(n); return n.std( ); } v = expression(0); if (!v.assignment && v.id !== "(") { v.error("Bad expression statement."); } advance(";"); return v; };
The statements function parses statements until it sees (end) or } signaling the end of a block. It returns a statement, an array of statements, or (if there were no statements present) simply null:
var statements = function ( ) { var a = [], s; while (true) { if (token.id === "}" || token.id === "(end)") { break; } s = statement( ); if (s) { a.push(s); } } return a.length === 0 ? null : a.length === 1 ? a[0] : a; };
The stmt function is used to add statements to the symbol table. It takes a statement id and an std function:
var stmt = function (s, f) { var x = symbol(s); x.std = f; return x; };
The block statement wraps a pair of curly braces around a list of statements, giving them a new scope:
stmt("{", function ( ) { new_scope( ); var a = statements( ); advance("}"); scope.pop( ); return a; });
The block function parses a block:
var block = function ( ) { var t = token; advance("{"); return t.std( ); };
The var statement defines one or more variables in the current block. Each name can optionally be followed by = and an expression:
stmt("var", function ( ) { var a = [], n, t; while (true) { n = token; if (n.arity !== "name") { n.error("Expected a new variable name."); } scope.define(n); advance( ); if (token.id === "=") { t = token; advance("="); t.first = n; t.second = expression(0); t.arity = "binary"; a.push(t); } if (token.id !== ",") { break; } advance(","); } advance(";"); return a.length === 0 ? null : a.length === 1 ? a[0] : a; });
The while statement defines a loop. It contains an expression in parentheses and a block:
stmt("while", function ( ) { advance("("); this.first = expression(0); advance(")"); this.second = block( ); this.arity = "statement"; return this; });
The if statement allows for conditional execution. If we see the else symbol after the block, we parse the next block or if statement:
stmt("if", function ( ) { advance("("); this.first = expression(0); advance(")"); this.second = block( ); if (token.id === "else") { scope.reserve(token); advance("else"); this.third = token.id === "if" ? statement() : block( ); } this.arity = "statement"; return this; });
The break statement is used to break out of loops. We make sure that the next symbol is }:
stmt("break", function ( ) { advance(";"); if (token.id !== "}") { token.error("Unreachable statement."); } this.arity = "statement"; return this; });
The return statement is used to return from functions. It can return an optional expression:
stmt("return", function ( ) { if (token.id !== ";") { this.first = expression(0); } advance(";"); if (token.id !== "}") { token.error("Unreachable statement."); } this.arity = "statement"; return this; });


A sample of whole blood is mixed with a weak acid solution that lyses non-nucleated red blood cells. Following adequate mixing, the specimen is introduced into a counting chamber where the white blood cells (leukocytes) in a diluted volume are counted.
A solution of sodium chloride in purified water. This can usually be found on Electrolyte Solution, such as dextrose.+
An isotonic fluid used for diluting blood samples in red blood cell counts. Contains mercuric chloride, sodium sulfate and sodium chloride.
A solution of elemental iodine and potassium iodide in water
It is often used as an antiseptic and disinfectant, for emergency
disinfection of drinking water, and as a reagent for starch
detection in routine laboratory and medical tests.
a transparent, colorless, volatile liquid, used as a solvent and disinfectant, and as a topical antiseptic.


@* * Copyright 2018 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.play.views.html.helpers._ @import views.html.softdrinksindustrylevy.helpers._ @import sdil.config.AppConfig @(startDateForm: Form[_], backLink: Call)(implicit request: Request[_], messages: Messages, config: AppConfig) @views.html.main_template(Messages("sdil.start-date.heading"), form = Some(startDateForm)) { @Messages("sdil.common.back") @error_summary(startDateForm)


Mrs. Comfort Usman Wase<EMAIL_ADDRESS>Hello Sir, I am Mrs. Comfort Usman Wase, widow of the late Col. Usman Wase, son of the Emir of Wase, Plateau State, Nigeria. My late husband was the Military Administractor of Kano State during the reign of the late General Sani Abacha. He died in the ill-fated Executive Air Services EAS aircraft that crashed at the Heipan airport near Jos, the Plateau state capital. My late husband was close to the then Head of State and Commander-in-Chief of the Federal Republic of Nigeria and he enjoys regular largesse from the Head of State as the Military Administrator of Kano State where the president came from. Regularly, my late husband bags these largesse in local and foreign currencies to his village (Wase) where they are stored in big trunk boxes in his father Emir's palace. These funds were so staggering that the Emir, my late husband's father advised him to make silos for the funds. 12 large overhead water tanks were made in the premises of the Emir's Palace and all the funds were transferred and stored there. The funds in the silos were top secret between my late husband and his father whom he deceived into believing that the money belong to General Sani Abacha, the then Head of State. After my late husband's death in the ill-fated air craft on 7th January, 1997 leaving his large fortune unprotected. The head of State General Sani Abacha paid a condolence visit to the Emir, my late husband's father, the old man believing that the fund in the silos belongs to the head of state and knowing how brutal he was at that time informed the head of state of the money his son has been keeping for him. He thanked the old man and ordered the money to be moved to Aso Rock - Abuja (Government House at the Federal Capital Territory). The money was removed with special army bullion vans in the most bizarre manner that nothing was left for us (the family) to inherit. To us on that day, it was like another river has emptied its water into the ocean. Our problems (me and my children) started from that day. I have just been informed by my late husband's attorney, our family attorney Barrister I.K. Saggay, Principal Partner - Casefile & Co. that my late husband operated secret domiciliary account with fictitious name in one of the commercial banks and all the funds amounting to US$4.5 million has been credited in his favour and I the widow was nominated as the next of kin as stated in his WILL and last testament. He has now instructed me to seek in confidence a foreign partner who will assist me in transferring the funds abroad to secure the future and education of my children. In the light of the above, I would like you to contact me if you are interested in this project so that I can direct you to our family attorney who will furnish you with further details and the modalities on how the fund can be wired to your bank account. You will be at liberty to negotiate a commission for your assistance with our family attorney. On the contrary, if this proposal does not meet your requirement or you are not interested, please do not hesitate to inform us so that we can make an alternative arrangement. Kind regards, Mrs. Comfort Usman Wase Mrs_Comfort_Usmanwase@ciudad.com.ar


class: center, middle # [Testing Local Dependence over Network](https://github.com/neurodata/youjin): ## via Local Distance Correlation
Youjin Lee , Department of Biostatistics --- layout: true .bbar[ _[Motivation](#Motivation)_ | [Local Dependence](#Local Dependence) | [Distance Correlation](#Distance Correlation) | [Diffusion Distance](#Diffusion Distance) | [Simulation](#Simulation) | [Implication](#Implication)] --- ## Motivation
- Interest in network structure and its node attributes - Science : linkage for functional purpose, attributes passing through linkage, etc. - Social Network : peer effects, homophily, etc.
.center[
] --- ## Motivation
- Connection to Previous Work - Out of concern about lots of epidemiology studies. e.g.) obesity and social networks. - Abuse of standard statistical analysis without confirming independent sample assumptions. - Comparison between adjacent pairs vs. nonadjacent pairs. - Assumptions - Robustness of using adjacent relationships - Testing global dependency - Limitations - Need to differentiate between nodes having different number of friends. (unique connection vs. one of many connections) - Fail to achieve high power under .r[local dependence]. --- ## Goal
.g[G] : Graph / Network structure represented by edge variable .g[A]. .y[X] : Real-valued node attribute variable. - We want to test: $$H\_{0} : f\_{G \cdot X} = f\_{G} \cdot f\_{X}$$ $$H\_{A} : f\_{G \cdot X} \neq f\_{G} \cdot f\_{X}$$ - Possible properties of .g[G]: - cannot guarantee global dependence. - adjacent relationship does not say everything. - Possible properties of .y[X]: - may be interested in multivariate attributes. --- layout: true .bbar[ [Motivation](#Motivation) | _[Local Independence](#Local Independence)_ | [Distance Correlation](#Distance Correlation) | [Diffusion Distance](#Diffusion Distance) | [Simulation](#Simulation) | [Implication](#Implication)] --- name: Local Dependence ## Structure of Networks
- Network data often comes without natural structure, and shows evidence of local dependence. - Hierarchical models with latent, local structure and local dependence is instroduced [1]. - The set of nodes is partitioned into K blocks. (latent, local structure). - Probability of having edges within block is different across blocks, but having edges between blocks are homogeneous. .center[
] --- ### Local Independence Latent Structure Model
- Borrowing an idea from hierarchical latent model, but we are not only interested in graphical structures, but also interested in distribution of nodes' attributes and their relationships. - .r[Local independence] is an underlying assumption of latent variable models [2]. - .g[G] and .y[X] are conditionally independent each other given latent variable .blue[Z]. - Association between .g[G] and .y[X] can be explained only through .blue[Z]. - If a latent .blue[Z] has no association to .g[G] or .y[X], .g[G] and .y[X] are independent each other. --- ### Local Independence Latent Structure Model Graph from simulation data (`kamada.kawai` in `R`) - Distribution of .y[X] = 1 is homogenous within block, but not identical across latent blocks. .center[
] --- ### Local Independence Latent Structure Model Graph from simulation data (`kamada.kawai` in `R`) - Distribution of .y[X] = 2 is homogenous within block, but not identical across latent blocks. .center[
] --- ### Local Independence Latent Structure Model Graph from simulation data (`kamada.kawai` in `R`) - Three types of node attribute outcomes (in ordinal scale) - .y[X] = 3 .center[
] --- ### Local Independence Latent Structure Model Graph from simulation data (`kamada.kawai` in `R`) - Three types of node attribute outcomes .y[X] and latent group .blue[Z]. - Distribution of .y[X] depends on latent group .blue[Z] - Distribution of .g[G] depends on latent group .blue[Z] - Within .blue[Z], distribution of .y[X] and .g[G](edge) are independent. .center[
] --- name: Local Independence ### Local Independence Latent Structure Model .g[A] : Edge indicator .y[X] : Node attribute .blue[Z : Latent Variable] - Model : - [Model 1] : P(A | .blue[Z]) P(X | .blue[Z]) P(.blue[Z]) - [Model 2] : P(A | .blue[Z]) P(.blue[Z] | X) P(X) - Assumption : .g[A] $\perp$ .y[X] | .blue[Z] (local independence) - Causal Diagram .center[
] --- layout: true .bbar[ [Motivation](#Motivation) | [Local Dependence](#Local Dependence) | _[Distance Correlation](#Distance Correlation)_ | [Diffusion Distance](#Diffusion Distance) | [Simulation](#Simulation) | [Implication](#Implication)] --- ## Distance Correlation (Szekely, 2005 [3])
- A measure of all types of dependence between two random vectors, not necessarily equal dimension. - Pairwise Euclidean distance in .g[G] and .y[X]: - $C\_{ij} = \parallel \mbox{ node } i - \mbox{ node } j \parallel$ - $D\_{ij} = \parallel X\_{i} - X\_{j} \parallel$ - Doubly centered distance matrix for .g[G] and .y[X] - $C^{H}\_{ij} = c\_{ij} - \bar{c}\_{i \cdot} - \bar{c}\_{\cdot j} + \bar{c}_{\cdot \cdot}$ - $D^{H}\_{ij} = d\_{ij} - \bar{d}\_{i \cdot} - \bar{d}\_{\cdot j} + \bar{d}\_{\cdot \cdot}$ - Sample distance covariance $$dCov^2\_{n}(G, X) : = \frac{1}{n^2} \sum\limits\_{i,j=1}^{n} C\_{ij} D\_{ij}$$ --- ## Local Distance Correlation (Cencheng, 2016 ) - Combines the ideas of distance correlation with nearest-neighbors of each node. - Neighborhood choice is very related to a latent membership choice, e.g. testing within certain .blue[Z]. - Sample distance correlation for all possible combinations of (k,l): $$dCov\_{kl}(G,l) = \frac{1}{n^2} \sum\limits\_{i,j=1}^{n} C^{H}\_{ij} D^{H}\_{ij} I(r(C\_{ij}) < \color{red}{k} ) I(r(D\_{ij}) < \color{red}{l} )$$ - Construction of $\color{yellow}{D\_{ij}}$ = $|| X\_{i} - X\_{j}||$ is straightforward. How about distance matrix .g[C] = $\parallel \mbox{ node } i - \mbox{ node } j \parallel$? How can we derive distance matrix of .g[G] corresponding to Euclidean distance of .y[X] ? --- layout: true .bbar[ [Motivation](#Motivation) | [Local Dependence](#Local Dependence) | [Distance Correlation](#Distance Correlation) | _[Diffusion Distance](#Diffusion Distance)_ | [Simulation](#Simulation) | [Implication](#Implication)] --- ## Diffusion Distance
- Transition probability from node i to node j: $$P[i,j] = Pr\big( X\_{n} = j \big| X\_{n-1} = i \big)$$ - We define it considering total number of edges from i: $$P[i,j] = \frac{\mbox{ Number of edges between i and j }}{\mbox{ Degree of node i } }$$ - Stationary probability π(j) - No matter what the starting state was, the proportion of time the chain (signal) spends in node j. - Inversely proportional to the likelihood that signal does not move and stay at node j. - .r[Concept] : On the journey to all other possible nodes from node i and node j, respectively, what is the chance that we stay between i and j? The bigger the chance, the smaller the distance is. --- ## Diffusion Distance
- Consider all interal nodes .purple[w] in .g[G] and calculate the probability node i and node j passes .purple[w]. - The higher π(.purple[w]) is, the harder a signal escapes from state .purple[w]. - .r[Diffusion distance] between i and j at time t: $$C^{2}\_{t}[i,j] = \sum\limits_{w \in V(G)} \big( P^{t}[i,w] - P^{t}[j,w] \big)^{2} \frac{1}{\pi(w)}$$ - If t = 1, diffusion distance is very similar to Euclidean distance based on adjacency matrix, but the latter one regards every adjacent relationship as equivalent. - As diffusion time t increases, distance matrix .g[C] is more likely to take into account distance of two nodes far away from in terms of geodesic distance. --- layout: true .bbar[ [Motivation](#Motivation) | [Local Dependence](#Local Dependence) | [Distance Correlation](#Distance Correlation) | [Diffusion Distance](#Diffusion Distance) | _[Simulation](#Simulation)_ | [Implication](#Implication)] --- ## Simulation
- Test : $H\_{0}$ : f(.g[G]⋅ .y[X]) = f(.g[G]) f(.y[X]) or f(.g[A] ⋅ .y[X]) = f(.g[A]) f(.y[X]) - Model : P(A | .blue[Z]) P(X | .blue[Z]) P(X) - Test statistic : Local Distance Correlation - Distance metric of .g[G]: Diffusion Distance t= 1, 5, 10, 20 - Distance metric of .y[X]: Euclidean Distance - Procedures: - Generate iid .y[X] : Bernoulli or Multinomial - Generate latent block variable .blue[Z] conditional on .y[X]. - Generate network .g[G] through an edge variable .g[A], conditional on .blue[Z]. --- ## Two Block Simulation 1 - .y[X] $\sim$ Bern(0.5) - .blue[Z] $\sim$ $\left\\{ \\begin{array}{cc} Bern(0.6) & X = 0 \\\\ Bern(0.4) & X = 1 \\end{array} \right.$ - .g[A] $\sim$ Bern $\left\[ \\begin{array}{cc} \color{red}{0.5} & 0.1 \\\\ 0.1 &\color{red}{0.5} \\end{array} \right]$ .center[
] --- ## Two Block Simulation 1
- local optimal and global scale is very similar. - Optimality is mostly dependent on neighborhood choice over network .g[G], and $k^{*} \approx 50.$ - May indicate that testing using a few edges between two blocks for is not different or even better than testing using all edges between two groups. .center[
] --- ## Two Block Simulation 2 - .y[X] $\sim$ Bern(0.5) - .blue[Z] $\sim$ $\left\\{ \\begin{array}{cc} Bern(0.6) & X = 0 \\\\ Bern(0.4) & X = 1 \\end{array} \right.$ - .g[A] $\sim$ Bern $\left\[ \\begin{array}{cc} \color{red}{0.5} & 0.1 \\\\ 0.1 & 0.1 \\end{array} \right]$ .center[
] --- ## Two Block Simulation 2
- local optimal and global scale is very similar. - As diffusion distance .r[t] increases, optimal power as well as global testing power decreases. - Including second block has no benefits to detecting dependency, and as diffusion proces progresses, we are more likely to take into account them. .center[
] --- ## Two Block Simulation 3 - .y[X] $\sim$ Bern(0.5) - .blue[Z] $\sim$ $\left\\{ \\begin{array}{cc} Bern(0.6) & X = 0 \\\\ Bern(0.4) & X = 1 \\end{array} \right.$ - .g[A] $\sim$ Bern $\left\[ \\begin{array}{cc} \color{red}{0.5} & 0.3 \\\\ 0.3 & \color{blue}{0.1} \\end{array} \right]$ .center[
] --- ## Two Block Simulation 3
- Local optimal is systematically better than global test. - As diffusion distance .r[t] increases, optimal power as well as global testing power decreases. - Including second block is .r[against] to detecting dependency, and as diffusion proces progresses, we are more likely to take into account them. .center[
] --- ## Three Block Simulation 1 - .y[X] $\sim$ Multinomial(1/3, 1/3, 1/3) - .blue[Z] $\sim$ $\left\\{ \\begin{array}{cc} Multinorm(\color{red}{0.5}, 0.25, 0.25 ) & X = 1 \\\\ Multinorm(0.25, \color{red}{0.5}, 0.25 ) & X = 2 \\\\ Multinorm(0.25, 0.25, \color{red}{0.5} ) & X = 3 \\end{array} \right.$ - .g[A] $\sim$ Bern $\left\[ \\begin{array}{cc} \color{red}{0.5} & 0.1 & 0.1 \\\\ 0.1 & \color{red}{0.5} & 0.1 \\\\ 0.1 & 0.1 & \color{red}{0.5} \\end{array} \right]$ .center[
] --- ## Three Block Simulation 1
- Related to figures presented before. - Local optimal is systematically better than global test. - Optimality mostly depends on the neighborhood choice of .y[X], and upto including 100 nearest neighbors. (size of two blocks) .center[
] --- ## Three Block Simulation 2 - .y[X] $\sim$ Multinomial(1/3, 1/3, 1/3) - .blue[Z] $\sim$ $\left\\{ \\begin{array}{cc} Multinorm(\color{red}{0.5}, 0.25, 0.25 ) & X = 1 \\\\ Multinorm(0.25, \color{red}{0.5}, 0.25 ) & X = 2 \\\\ Multinorm(0.25, 0.25, \color{red}{0.5} ) & X = 3 \\end{array} \right.$ - .g[A] $\sim$ Bern $\left\[ \\begin{array}{cc} \color{red}{0.5} & 0.1 & 0.1 \\\\ 0.1 & \color{red}{0.5} & 0.1 \\\\ 0.1 & 0.1 & 0.1 \\end{array} \right]$ .center[
] --- ## Three Block Simulation 2 - Gap between local optimal and global scale is getting larger. - The intuition behind it is that as diffusion process progresses, we are more likely to include block 3, of which edge distribution is randomly distributed across blocks. - Optimality depends on both neighborhood choice of .g[G] and .y[X]. .center[
] --- layout: true .bbar[ [Motivation](#Motivation) | [Local Dependence](#Local Dependence) | [Distance Correlation](#Distance Correlation) | [Diffusion Distance](#Diffusion Distance) | [Simulation](#Simulation) | _[Implication](#Implication)]_ --- ## Implication
- Local optimality > Global Power - When removing an edge between different blocks would improve testing power. - Existence of block of which within-block edge distribution is no difference from between-block distribution. - Existence of negative correlation, e.g. within-block edge probability is smaller than between-block edge probability. - Different power across different diffusion time. - When within-block edge probability is smaller than between-block edge probability. - Existence of block where a latent variable .blue[Z] has no influence on .g[A] or .y[X]. --- ## Applications
- Use of (local) distance correlation and diffusion distance to test: - Independence between two networks : $H\_{0} : f(G\_{1} \cdot G\_{2}) = f(G\_{1}) f(G\_{2})$ - Independence between Networks and Attributes using multiple samples - e.g) Independence between brain connectivites and personality studied from independent samples. - Can be used to study hidden structure of network. - If .y[X] acts as a confounder when analyzing the effect of other intervention on network structure .g[G], or vice versa, since within some range or neighborhood choice, we can assume independence we do not have to discard all individuals (nodes). --- ## Limitations
- Hard to .r[prove] when and why we achieve local optimal. - Hard to formalize when and why testing power changes according to diffusion distance matrix. - Hard to find the optimal scale and optimal time, if exists, in real data. --- ## Alternatives (Future work)
- Try different working model related to .r[local dependence]: - P(.g[A], .y[X], .blue[Z]) = P(.g[A] | .y[X], .blue[Z]) P(.y[X]) P( .blue[Z]) - Within block : P(.g[A] | .y[X], .blue[Z]) $\neq$ P(.g[A] | .blue[Z]) - Between blocks : P(.g[A] | .y[X], .blue[Z]) = P(.g[A] | .blue[Z]) - Maybe easier to explain by likelihood : factorize into within block & between blocks. - Study time by time and see how much time it takes until .r[reachability] between and within block is getting similar. - Study the algorithms to incorporate time-dependence optimality changes. --- name: # References .small[ 1. Schweinberger, M., & Handcock, M. S. (2015). Local dependence in random graph models: characterization, properties and statistical inference. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 77(3), 647-676. 2. Lazarsfeld, P. F, & Henry, N. W. (1968). Latent structure analysis. New York: Houghton, Mifflin. 3. Székely, G. J., & Rizzo, M. L. (2013). Energy statistics: A class of statistics based on distances. Journal of statistical planning and inference, 143(8), 1249-1272. ] --- # Questions?


QMRITools PACKAGE SYMBOL
GenerateGradients
GenerateGradients[numb]
optimizes a set with numb gradients, numb mus be an integer.
GenerateGradients[{numb, fixed}]
optimizes a set with numb gradients, numb must ba an integer and fixed a list of 3D coordiantes e.g. {{0,0,1},{0,1,0}}. The fixed gradients will not be moved.
GenerateGradients[{numb$1, numb$2 $$}, alpha]
optimizes a multi shel gradient set with numb gradients per shel. If alpha is set to 0.5 equal importance is given tothe optimal distribution of each shell en the enitre set. if alpha is 0 only the sub shels will be optimized, if alpha is set to 1 only the global set wil be optimized.
GenerateGradients[]
is based on DOI: 10.1002/mrm.26259 and 10.1002/(SICI)1522-2594(199909)42:3<515::AID-MRM14>3.0.CO;2-Q.


The_Expanse
A thriller set two hundred years in the future, The Expanse follows the case of a missing young woman who brings a hardened detective and a rogue ship's captain together in a race across the solar system to expose the greatest conspiracy in human history.


Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Groenen, P.J.F., Winsberg, S., Rodriguez, O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).
| Version: | 0.3-3 |
| Depends: | R (≥ 3.5.0), smacof, clusterSim, symbolicDA |
| Imports: | smds, animation, plotrix, spdep |
| Suggests: | testthat |
| Published: | 2018-12-08 |
| Author: | Marek Walesiak, Andrzej Dudek |
| Maintainer: | Andrzej Dudek <andrzej.dudek at ue.wroc.pl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://keii.ue.wroc.pl/mdsOpt |
| NeedsCompilation: | no |
| CRAN checks: | mdsOpt results |
| Reference manual: | mdsOpt.pdf |
| Package source: | mdsOpt_0.3-3.tar.gz |
| Windows binaries: | r-devel: mdsOpt_0.3-3.zip, r-release: mdsOpt_0.3-3.zip, r-oldrel: mdsOpt_0.3-1.zip |
| OS X binaries: | r-release: mdsOpt_0.3-3.tgz, r-oldrel: mdsOpt_0.3-1.tgz |
| Old sources: | mdsOpt archive |
Please use the canonical form https://CRAN.R-project.org/package=mdsOpt to link to this page.


Keir Starmer looks stumped in this Tory video – but the original clip is very different
The party seems to have misleadingly edited an interview with the shadow Brexit secretary for an attack ad.
by Election MoleThe BBC’s Daniel Sandford has noticed something odd about a Tory attack ad published on its Twitter account earlier today.
It was basically a replay of an interview with the shadow Brexit secretary Keir Starmer on Good Morning Britain this morning.
Here it is:
A bit dull, but it makes the intended point – that Labour’s Brexit stance is confusing and nonsensical, so much so that even Starmer is struck dumb by it at the end of the interview.
But actually, as Sandford discovered when watching the original interview, Starmer wasn’t stumped by Piers Morgan’s question at the end of the Conservatives’ video at all.
In fact, he answered the question at length:
“Well, Piers, I have been talking to the EU, to political leaders across the EU27 countries for three years, and I know very well what the parameters are of any deal that they would do with a Labour government, we actually explored some of it in the cross-party talks that we were in with the government six months or so ago, so I know that a customs union and single market alignment and protection of workers’ rights and environmental rights and consumer rights is something that can be negotiated.”
It looks like the Tory video has used a clip of Starmer silently listening to one of the presenters’ questions to suggest he was stumped into silence by Morgan asking why the EU would give him a good deal.
Here’s the clip:
Morgan himself has weighed in, calling the edit “misleading” and “unfair”:
Your mole has asked CCHQ what the story is behind the change in the footage, and awaits their reply.


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MacOS 11 Ventura Concept [Video]
by iClarifiedCheck out this concept for 'macOS 11 Ventura' from designer Kamer Kaan Avdan.
The concept features a redesigned Finder, easier Drag and Drop, the ability to pin widgets to the desktop, a new Settings app, darker Dark Mode, redesigned Mission Control, Face ID, proactive Siri, enhanced Spotlight, and more.
Take a look below and let us know what you think!


investigation title is required.
Police Station title is required.
Date is required.
case is required.
amount is required.
vehicle Information is required.


Giant Nutty Wheel
| Fighting Style | ||
| When Dieing Do they run | No | |
| Ranged Attack | No | |
| AOE Area of Attack | No | |
| Spawns lesser monsters | Yes |
Giant Nutty Wheel Pronounced g-eye-ant nut-tee-weel
Made from perhaps chrome or steel, the Giant Nutty Wheel is plated with armor. It has no arms or body, but uses it's long thin legs to kick off the ground for a smooth ride on the large wheel they support themselves on.
Locating Giant Nutty Wheel
The most popular grouping of Nutty Wheels is in the Southeastern edge of Darkon 1 .
| Giant Nutty Wheel |
Available
that involve this masquerpet
Dwarpet Festival
Required Level : 57 ~ 62 Required Job : First Class/Second Class/Master Objective : Kill Nutty Wheel and collect 40 Wheeshoes Location : Erons Factory 2
| Wheeshoe 40x |
Reward : 20% exp at level 57 and 171,000 Penya
Giant Nutty Wheel Statistics
| Name | lvl | HP | Def | Mdef | Exp | Atk | Ele |
| Giant Nutty Wheel | 61 | 200,836 | 73 | 90 | 35,337 | 885~932 |
Note: Atk stat comes from kFlyff and may differ from our version.
Drops
Wheeshoe Fish Stew - Food item for recovering HP. Fruit Icewater - Food item for recovering HP. Seafood Pan Cake - Food item for recovering HP. Fifth Refresher - Food item for recovering MP. Penya - In game currency. Conqueror's Token(Guard) - Guardian Series exchange currency. Cruiser/Hyper Set pieces Wedge/Flury Set pieces Teba/Misty Set pieces Panggril/Stitch Set pieces
Trivia


Out of reach, so far I never had you heart Out of reach, couldn't see We were never meant to be Catch myself from despair I could drown if I stay here Keeping busy every day I know I will be okay But I was So confused, my hearts bruised Was I ever loved by you? Out of reach, so far I never had your heart Out of reach, couldn't see We were never meant to be So much hurt, so much pain Takes a while to regain what is lost inside And I hope that in time, you'll be out of my mind I'll be over you But now I'm So confused, my hearts bruised Was I ever loved by you? Out of reach, so far I never had your heart Out of reach, couldn't see We were never meant to be Out of reach, so far You never gave your heart In my reach, I can see There's a life out there for me |


{% extends 'base.html' %} {% load static %} {% block content %}
| Map | View, manage and edit map layers. |
| {{ settings.XGDS_CORE_FLIGHT_MONIKER }} | View and manage {{ settings.XGDS_CORE_FLIGHT_MONIKER }}s and {{ settings.XGDS_PLANNER2_PLAN_MONIKER }}. A {{ settings.XGDS_CORE_FLIGHT_MONIKER }} includes all of the data collected in a single excursion. |
| {{ settings.XGDS_NOTES_NOTE_MONIKER }}s | Review and create {{ settings.XGDS_NOTES_NOTE_MONIKER }}. Manage tags. |
| Search | Search for anything on the map, including Photos and NIRVSS data. |
| Import | Import data including Photos, GPS, Instrument Data, Map Tiles. |
| Map Overview | Vimeo Video Local Video |
| Photos | Vimeo Video Local Video |
| NIRVSS | Vimeo Video Local Video |
| Filter by Time | Vimeo Video Local Video |


[gecode-users] Scheduling constraints
Vladimír Dusa
vdusa at bsa-informatik.ch
Wed Mar 8 12:24:45 CET 2006
Hello,
I would like to create a program for optimizing elastic non-preemptive
cumulative schedule. Resources will be first of all people. Any resource can
work at any time on more tasks simultaneusly. Activities can be interrupted
at any time to let some other activities execute and amount of resource
assigned to some activity can at any time assume any value between 0 and
resource capacity. In some defined time interval with fixed length placed
arbitrary in schedule cannot be the resource capacity exceeded.
I found in gecode environment some "Gecode::cumulative" propagator, but no
example how to use it. If is there no such example, could you give mi a hint
how can I learn using scheduling propagators in gecode?
Thank you very much
Best Regards
Vladimír Dua
More information about the gecode-users
mailing list


{% extends 'user/student/course/java/layout.html' %} {% block body %}
In the previous chapter, we created a Java file called Main.java
, and we used the following code to print "Hello World" to the screen:
Main.java
public class Main {
public static void main(String[] args) {
System.out.println("Hello World");
}
}
Every line of code that runs in Java must be inside a class
.
In our example, we named the class Main. A class should always start with
an uppercase first letter.
Note: Java is case-sensitive: "MyClass" and "myclass" has different meaning.
The name of the java file must match the class name. When saving the file, save it using the class name and add ".java" to the end of the filename. To run the example above on your computer, make sure that Java is properly installed: Go to the Get Started Chapter for how to install Java. The output should be:
Hello World
The main()
method is required and you will
see it in every Java
program:
public static void main(String[] args)
Any code inside the main()
method will be executed. You don't have to understand the keywords before and after main. You will get to know
them bit by bit while reading this tutorial.
For now, just remember that every Java program has a class
name which
must match the filename, and that every program must contain the
main()
method.
Inside the main()
method, we can use the println()
method to print a line of text to the screen:
public static void main(String[] args) {
System.out.println("Hello World");
}
Note: The curly braces {}
marks the beginning and the end of a block of code.
Note: Each code statement must end with a semicolon.


Man stabbed to death over chicken burger
by Entertainment DeskA man was stabbed to death outside a US fast food chain Monday night just because he cut the front of a line to get dibs on the chain’s popular chicken sandwich, police said on Tuesday, reported CNN.
Prince George’s County Police Chief Hank Stawinski told reporters that 28-year-old Kevin Davis entered the restaurant in Oxon Hill and started “methodically” cutting a line reserved for the menu item. Stawinski said that Davis was confronted by another man when he cut to the front of the line.
“Over the course of fifteen minutes this individual works his way methodically ahead of everybody else in that line, is confronted by this individual and then from the moment of that confrontation, 15 seconds later, the two of them are out in front of the store, a stabbing occurs and an individual’s life is lost,” Stawinski told reporters.
He added, “The question my detectives have to answer is: how does a confrontation lead to a homicide in 15 seconds?” Police said the preliminary investigation revealed Davis and the suspect got into a brief verbal argument.
They both then got out of the line and walked out the front door together before the suspect stabbed Davis, investigators said.
Police said Davis was rushed to a local hospital where he was pronounced dead. Police are asking the public for help identifying the suspect and a woman he was with, who they said is a person of interest.


{{title}}
Status:
NO-STATUS
This example demonstrates reading from and writing to your Google Drive account. To run:
Click the "Sign In" button below to authorize access to your account.
Click the "Get File" button to read the file "hello nacl.txt" from your account.
If it exists, it will be modified.
If it doesn't exist, it will be created.
The file will be downloaded, and the contents displayed below. Try looking on
Google Drive
to see the changes as well!
Sign In
Get File
File Contents:


SVNThe OSCache SVN repository is hosted at http://svn.opensymphony.com/svn/oscache. You can get the sources anonymously by using e.g. Subclipse a Subversion Eclipse Plugin. If you want to build OSCache from SVN, you have to checkout the project OpenSymphony also. Compiling OSCacheRun build.xml with Ant 1.6.5 (or higher) under Java 1.4 or later. From the OSCache directory, type
You may need to add the Ivy jar to your $ANT_HOME/lib directory if it is not there already. |


Web / Mobile / Full Stack Developer for Hire, React and Vue Specialist
Find Out MoreBuild fast responsive websites that adhere to your UI/UX standards
Generate professional mobile applications for both iOS and Android
Also proficient in other front end frameworks
Create Express servers with Mongoose and MongoDB
Create Rails servers with Active Record and PostgreSQL
Interested in having a conversation about your company? That's great! Shoot me an email and I'll get back to you as soon as possible!


>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Voc
!:
Help
Primer
When =. and =: are the same
You have seen how =. and =: are different when used in a verb definition.
When you execute sentences in the ijx window you are not executing them inside a verb so the =. and =: have the same effect. In the ijx window:
a =. 123
a
123
a =: 234
a
234
In the ijx window the =. and =: copulas are the same and it doesn't matter which you use to define a name as they both define the global name. The =. is easier to type and tends to be the one that is used. In a strict sense it would be better to explicitly use =: when defining a global name.
>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Voc
!:
Help
Primer


High Priest Sylvain:
I wish you good luck on your tasks and hope that you become a mature Magician soon.


Home
Tools
About
Our Mission
To provide a finding HPO similarity tool
Created By
Nattasit Mahakusolsirikul
Wasin Panitarnsirikul
Bun Uthaithirat
Bioinformatics 1 (2110495) Term Project


This article covers:
Email filtering e.g. showing trash can to newsletters who do not honor unsubscribe links automatically. This is like Gmail filters. Global spam filtering e.g. moving spam from inbox to junk folder (automatically)
We are using dovecot pigeonhole project for sieve support.
`apt-get install dovecot-sieve dovecot


Previous: Character Encodings, Up: Character Concepts
An implementation must document the character scripts it supports. For each character script supported, the documentation must describe at least the following:
Character labels, glyphs, and descriptions. Character labels must be uniquely named using only Latin capital letters A–Z, hyphen (-), and digits 0–9.
Reader canonicalization. Any mechanisms by which read treats different characters as equivalent must be documented.
The impact on char-upcase, char-downcase, and the case-sensitive format directives. In particular, for each character with case, whether it is uppercase or lowercase, and which character is its equivalent in the opposite case.
The behavior of the case-insensitive functions char-equal, char-not-equal, char-lessp, char-greaterp, char-not-greaterp, and char-not-lessp.
The behavior of any character predicates; in particular, the effects of alpha-char-p, lower-case-p, upper-case-p, both-case-p, graphic-char-p, and alphanumericp.
The interaction with file I/O, in particular, the supported coded character sets (for example, ISO8859/1-1987) and external encoding schemes supported are documented.


“Open technology and culture are shaping the future of global society. If we want that society to be socially just and to serve the interests of all people, women must be involved in its creation and organization.
Women are one of many groups currently under-represented in several areas of open technology and culture. Recent surveys have shown that around 2-5% of open source developers are women (compared to 20-30% of the larger tech industry), and that women represent just 10-15% of Wikipedia editors.”Source: Ada Initiative
They caught me taking their photos! @_leekinney @CodeForPhilly @gdiphilly pic.twitter.com/lazSJJGNHt
— ashley chapokas (@AChapokas) July 31, 2014
Join the GDI Meetup Group!
Join the Code for Philly Meetup Group!


How many paragraphs of patriotism can you handle? 4 5 6 7 8 9 10 Give me freedom!
Copyright 2016 - Freedom Ipsum, an excercise in unnecessary free speech by Dan Lynn dlynn.site | Twitter | LinkedIn | General Assembly


AWS::Kinesis::Stream
Creates an Kinesis stream that captures and transports data records that are emitted from data sources. For information about creating streams, see CreateStream in the Amazon Kinesis API Reference.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::Kinesis::Stream", "Properties" : { "Name" :
String
, "RetentionPeriodHours" :Integer
, "ShardCount" :Integer
, "StreamEncryption" :Kinesis StreamEncryption
, "Tags" : [Resource Tag, ...
] } }
YAML
Type: AWS::Kinesis::Stream Properties: Name:
String
RetentionPeriodHours:Integer
ShardCount:Integer
StreamEncryption:Kinesis StreamEncryption
Tags: -Resource Tag
Properties
Note
For more information about constraints and values for each property, see CreateStream in the Amazon Kinesis API Reference and Amazon Kinesis Data Streams Limits in the Amazon Kinesis Developer Guide.
Name
-
The name of the Kinesis stream. If you don't specify a name, AWS CloudFormation generates a unique physical ID and uses that ID for the stream name. For more information, see Name Type.
Important
If you specify a name, you cannot perform updates that require replacement of this resource. You can perform updates that require no or some interruption. If you must replace the resource, specify a new name.
Required: No
Type: String
Update requires: Replacement
RetentionPeriodHours
-
The number of hours for the data records that are stored in shards to remain accessible. The default value is 24. For more information about the stream retention period, see Changing the Data Retention Period in the Amazon Kinesis Developer Guide.
Required: No
Type: Integer
Update requires: No interruption
ShardCount
-
The number of shards that the stream uses. For greater provisioned throughput, increase the number of shards.
Required: Yes
Type: Integer
Update requires: No interruption
StreamEncryption
-
Enables or updates server-side encryption using an AWS KMS key for a specified stream.
Required: No
Type: Kinesis StreamEncryption
Update requires: No interruption
Tags
-
An arbitrary set of tags (key–value pairs) to associate with the Kinesis stream. For information about constraints for this property, see Tag Restrictions in the Amazon Kinesis Developer Guide.
Required: No
Type: Resource Tag
Update requires: No interruption
Return Values
Ref
When you specify an AWS::Kinesis::Stream resource as an argument to the
Ref
function, AWS CloudFormation returns the stream name (physical ID).
For more information about using the Ref
function, see Ref.
Fn::GetAtt
Fn::GetAtt
returns a value for the
Arn
attribute.
Arn
-
The Amazon resource name (ARN) of the Kinesis stream, such as
arn:aws:kinesis:
us-east-2
:123456789012:stream/mystream
.
For more information about using Fn::GetAtt
, see Fn::GetAtt.
Example
The following example creates a Stream
resource that uses three shards, sets a seven-day retention period, and specifies
the KMS key for server-side encryption.
JSON
"MyStream": { "Type": "AWS::Kinesis::Stream", "Properties": { "Name": "MyKinesisStream", "RetentionPeriodHours" : 168, "ShardCount": 3, "StreamEncryption": { "EncryptionType": "KMS", "KeyId": "!Ref myKey" }, "Tags": [ { "Key": "Environment", "Value": "Production" } ] } }
YAML
MyStream: Type: AWS::Kinesis::Stream Properties: Name: MyKinesisStream RetentionPeriodHours: 168 ShardCount: 3 StreamEncryption: EncryptionType: KMS KeyId: !Ref myKey Tags: - Key: Environment Value: Production


My name is
Elizabeth
.
blar
Term
This is the first definition in compact format.
Term
This is the second definition in compact format.
Scrolling text (non-standard)


Buttercup Gold and Other Stories
by Ellen Robena Field
“The Robin”
Additional Information
- Year Published: 1894
- Language: English
- Country of Origin: United States of America
- Source: Field, E.R. (1894) Buttercup Gold and Other Stories Bangor: C. H. Glass
-
Readability:
- Flesch–Kincaid Level: 6.5
- Word Count: 493
- Genre: Fairy Tale/Folk Tale
- Keywords: 19th century literature, children's literature, short stories
- ✎ Cite This
Downloads
One day, while walking home from the Kindergarten, I met some travelers coining from the South. They did not come on the car or the boat, but they traveled very quickly. As they passed me I fancied I heard them say, “How do you do? We are glad to see you again. Are there plenty of houses to rent this Spring? You will have a great many more visitors by and by, for our friends are coming North as soon as the weather gets a little warmer.”
A robin “Yes,” I replied, “some of the houses you occupied last spring are waiting for you, and you will find pleasant places on which to build new ones in Crab Apple Lane, Woodbine Walk, Maple Park, and Apple Tree Avenue.”
“Thank you,” they called, and hurried on, leaving me to wonder what sort of a journey they had. All day long I saw them flying to and fro, carrying loads of straw and mud.
Just at twilight there came a rap at my window, and there stood Mr. Robin Redbreast, looking in as saucily as you please. “I thought you’d be there,” he chirped; “and if you will look out a minute, I’ll show you my house.”
Sure enough, there was a tiny home on Apple tree Avenue, just at the corner of Branch Alley. There was a cellar of mud, and the rest of the cottage was neatly woven of straw. “How do you like it?” he chirped.
Of course I admired it, and asked him if he was all ready to go to housekeeping. “All but the beds,” he replied, “but if you will give me some hair and a few feathers, I will soon have a soft place for our eggs to rest on.”
I threw some out, and in a short time the nest was lined. Then Robin flew off, returning the next day with his mate, who showed her delight at the new home by cozily settling down in it.
Every morning the birds gave a concert above my window, and one day I heard some new notes, and, peeping out, saw that five little robins had come to brighten the cozy nest. Such a busy time as the papa and mamma Redbreasts had now! Such a digging for worms to drop into the big mouths which seemed to be always asking for food! In a few weeks the baby birds learned to fly, and left the nest to make new homes and sing their own sweet songs.
The old birds stayed on the Avenue awhile longer, but when the leaves put on their holiday dresses, and the flowers tied on their nightcaps and went to sleep, the Redbreasts sang good-by to their friends and, spreading their wings, flew away over the house tops toward the Sunny South.


CNN: Trump Suggested Having Impeachment Witnesses Fired
President Donald Trump has reportedly floated firing administration officials who have testified in the House impeachment investigation into Trump’s Ukraine scheme.
CNN reported on Monday night that Trump, ever fixated with loyalty, has suggested having Lt. Col. Alexander Vindman, a Pentagon official who currently serves on the National Security Council, and Ambassador Bill Taylor fired after both provided key testimony on Trump’s attempt to manipulate U.S. relations with Ukraine for political gain.
Unnamed sources told CNN that White House aides warned Trump against forcing out the witnesses, advising that doing so would be seen as retaliation.
As an alternative, the aides are reportedly considering having witnesses with temporary posts at the White House, such as Vindman, removed from their posts and returned to their agencies.
National Security Adviser Robert O’Brien told CBS News’ “Face the Nation” host Margaret Brennan last week that Vindman will eventually be sent back to the Pentagon as part of the White House’s “streamlining” efforts. He denied any retaliation against Vindman.


TuckER is a simple, yet powerful linear model that uses Tucker decomposition for the task of link prediction in knowledge graphs.
Let E be the set of all the entities and R be the set of all the relations in a given knowledge graph (KG).
The KG can be represented as a list of triples of the form (source entity, relation, object entity) or (es, r, eo).
The list of triples can be represented as a third-order tensor (of binary values) where each element corresponds to a triple and each element’s value corresponds to ether that element is present in the KG or not.
The link prediction task can be formulated as - given a set of all triples, learn a scoring function that assigns a score to each triple. The score indicates whether the triple is actually present in the KG or not.
Tucker decomposition factorizes a tensor into a set of factor matrices and a smaller core tensor.
In the specific case of three-mode tensors (alternate representation of a KG), the given original tensor X (of shape IxJxK) can be factorized into a core tensor W (of shape PxQxR) and 3 factor matrics - A (of shape IxP), B (of shape JxQ) and C (of shape KxR) such that X is approximately W x1 A x2 B x3 C, where Xn denotes the tensor product along the nth mode.
Generally, P, Q, R are smaller than I, J K (respectively) and W can be seen as a compressed version of X.
Two embedding matrics are used for embedding the entities and the relations respectively.
Entity embedding matrix E is shared for both subject and the object ie E = A = B.
The scoring function is gives as W x1 es x2 wr x3 e0 where es, wr and eo are the embedding vectors corresonding to es, er and eo respectively. Note that both the core tensor and the factor matrices are to be learnt.
Model is trained with the standard negative log-likelihood loss given as (for one triple): y * log(p) + (1-y) * log(1-p)
To speed up training and increase accuracy, 1-N scoring is used. A given (es, r) is simultaneously scored for all the entities using the local-closed world assumption (knowledge graph is only locally complete).
Handling asymmetric relations is straightforward by learning a relation embedding alongside a relation-agnostic core tensor which enables knowledge sharing across relations.
One important consideration would be the expressive power of TuckER models, especially in relation to other models like ComplEx and SimplE.
It can be shown the TuckER is fully expressive ie give any ground truth over E and R, there exists a TuckER model which can perfectly represent the data - using 1-hot entity and relation embedding.
For full expressiveness, dimensionality of entity (relation) is nE (nR) where nE (nR) are the number of entities (relations). In comparsion, the required dimensionality for ComplEx is nE * nR (for both entity and relations) and for SimplE, it is min(E * nR, number of facts + 1) (for both entity and relations).
Many existing models like RESCAL, DistMult, ComplEx, SimplE etc can be seen as special cases of TuckER.
FB15k, FB15k-237, WN18, WN18RR
The max number of entities is around 41K and max number of relations is around 1.3K
Mean Reciprocal Rank (MRR) - the average of the inverse of mean rank assigned to the true triple overall ne generated triples.
hits@k (k = 1, 3, 10) - percentage of times the true triple is ranked in the top k of the ne generated triples.
Higher is better for both the metrics.
TuckER outperforms all the baseline models on all but one task.
Dropout is an important factor with higher dropout rates (0, 3, 0.4, 0.5) needed for datasets with fewer training examples per relation (hence more prone to overfitting).
TuckER improves performance more significantly when the number of relations is large.
Even with lower embedding dimensions, TuckER’s performance does not deteriorate as much as other models.


<xref>
Use the <xref>
element to provide an inline cross reference. It is
commonly used to link to a different location within the current topic, a different topic,
a specific location in another topic, or an external resource. The target of the
cross-reference is specified using the @href
or @keyref
attributes.
Category: Body elements


Color
Select the color:
Tag
Write down the tag (example: amenity=restaurant, highway=yes, building=house.)
Type
Check one or more of the OSM types below. The types checked should be valid for the tag specified for the OSM data. The tags and their types can be found at map features of OSM.
Data Source
Color
Select the color:
Enter the comma-seperated thresholds for building heights:
Data Source


val aliases: Array<String>
Defines the aliases for the command represented in an array of strings. This field is always required.


1 Psammetichus had a son, Necos, who became king of Egypt. It was he who began building the canal into the Red Sea, which was finished by Darius the Persian. This is four days' voyage in length, and it was dug wide enough for two triremes to move in it rowed abreast.
2 It is fed by the Nile, and is carried from a little above Bubastis by the Arabian town of Patumus; it issues into the Red Sea. Digging began in the part of the Egyptian plain nearest to Arabia; the mountains that extend to Memphis (the mountains where the stone quarries are) come close to this plain;
3 the canal is led along the foothills of these mountains in a long reach from west to east; passing then into a ravine, it bears southward out of the hill country towards the Arabian Gulf.
4 Now the shortest and most direct passage from the northern to the southern or Red Sea is from the Casian promontory, the boundary between Egypt and Syria, to the Arabian Gulf, and this is a distance of one hundred and twenty five miles, neither more nor less;
5 this is the most direct route, but the canal is far longer, inasmuch as it is more crooked. In Necos' reign, a hundred and twenty thousand Egyptians died digging it. Necos stopped work, stayed by a prophetic utterance that he was toiling beforehand for the barbarian. The Egyptians call all men of other languages barbarians.


SFTP(1) BSD General Commands Manual SFTP(1) NAME sftp — secure file transfer program SYNOPSIS sftp [-1246Cpqrv] [-B buffer_size] [-b batchfile] [-c cipher] [-D sftp_server_path] [-F ssh_config] [-i identity_file] [-l limit] [-o ssh_option] [-P port] [-R num_requests] [-S program] [-s subsystem | sftp_server] host sftp [user@]host[:file ...] sftp [user@]host[:dir[/]] sftp -b batchfile [user@]host DESCRIPTION sftp is an interactive file transfer program, similar to ftp(1), which per‐ forms all operations over an encrypted ssh(1) transport. It may also use many features of ssh, such as public key authentication and compression. sftp connects and logs into the specified host, then enters an interactive command mode. The second usage format will retrieve files automatically if a non-interac‐ tive authentication method is used; otherwise it will do so after success‐ ful interactive authentication. The third usage format allows sftp to start in a remote directory. The final usage format allows for automated sessions using the -b option. In such cases, it is necessary to configure non-interactive authentication to obviate the need to enter a password at connection time (see sshd(8) and ssh-keygen(1) for details). Since some usage formats use colon characters to delimit host names from path names, IPv6 addresses must be enclosed in square brackets to avoid ambiguity. The options are as follows: -1 Specify the use of protocol version 1. -2 Specify the use of protocol version 2. -4 Forces sftp to use IPv4 addresses only. -6 Forces sftp to use IPv6 addresses only. -B buffer_size Specify the size of the buffer that sftp uses when transferring files. Larger buffers require fewer round trips at the cost of higher memory consumption. The default is 32768 bytes. -b batchfile Batch mode reads a series of commands from an input batchfile instead of stdin. Since it lacks user interaction it should be used in conjunction with non-interactive authentication. A batchfile of ‘-’ may be used to indicate standard input. sftp will abort if any of the following commands fail: get, put, rename, ln, rm, mkdir, chdir, ls, lchdir, chmod, chown, chgrp, lpwd, df, symlink, and lmkdir. Termination on error can be suppressed on a command by command basis by prefixing the command with a ‘-’ char‐ acter (for example, -rm /tmp/blah*). -C Enables compression (via ssh's -C flag). -c cipher Selects the cipher to use for encrypting the data transfers. This option is directly passed to ssh(1). -D sftp_server_path Connect directly to a local sftp server (rather than via ssh(1)). This option may be useful in debugging the client and server. -F ssh_config Specifies an alternative per-user configuration file for ssh(1). This option is directly passed to ssh(1). -i identity_file Selects the file from which the identity (private key) for public key authentication is read. This option is directly passed to ssh(1). -l limit Limits the used bandwidth, specified in Kbit/s. -o ssh_option Can be used to pass options to ssh in the format used in ssh_config(5). This is useful for specifying options for which there is no separate sftp command-line flag. For example, to spec‐ ify an alternate port use: sftp -oPort=24. For full details of the options listed below, and their possible values, see ssh_config(5). AddressFamily BatchMode BindAddress ChallengeResponseAuthentication CheckHostIP Cipher Ciphers Compression CompressionLevel ConnectionAttempts ConnectTimeout ControlMaster ControlPath ControlPersist GlobalKnownHostsFile GSSAPIAuthentication GSSAPIDelegateCredentials HashKnownHosts Host HostbasedAuthentication HostKeyAlgorithms HostKeyAlias HostName IdentityFile IdentitiesOnly IPQoS KbdInteractiveAuthentication KbdInteractiveDevices KexAlgorithms LogLevel MACs NoHostAuthenticationForLocalhost NumberOfPasswordPrompts PasswordAuthentication PKCS11Provider Port PreferredAuthentications Protocol ProxyCommand PubkeyAuthentication RekeyLimit RhostsRSAAuthentication RSAAuthentication SendEnv ServerAliveInterval ServerAliveCountMax StrictHostKeyChecking TCPKeepAlive UsePrivilegedPort User UserKnownHostsFile VerifyHostKeyDNS -P port Specifies the port to connect to on the remote host. -p Preserves modification times, access times, and modes from the original files transferred. -q Quiet mode: disables the progress meter as well as warning and diagnostic messages from ssh(1). -R num_requests Specify how many requests may be outstanding at any one time. Increasing this may slightly improve file transfer speed but will increase memory usage. The default is 64 outstanding requests. -r Recursively copy entire directories when uploading and downloading. Note that sftp does not follow symbolic links encountered in the tree traversal. -S program Name of the program to use for the encrypted connection. The pro‐ gram must understand ssh(1) options. -s subsystem | sftp_server Specifies the SSH2 subsystem or the path for an sftp server on the remote host. A path is useful for using sftp over protocol version 1, or when the remote sshd(8) does not have an sftp subsystem con‐ figured. -v Raise logging level. This option is also passed to ssh. INTERACTIVE COMMANDS Once in interactive mode, sftp understands a set of commands similar to those of ftp(1). Commands are case insensitive. Pathnames that contain spaces must be enclosed in quotes. Any special characters contained within pathnames that are recognized by glob(3) must be escaped with backslashes (‘\’). bye Quit sftp. cd path Change remote directory to path. chgrp grp path Change group of file path to grp. path may contain glob(3) charac‐ ters and may match multiple files. grp must be a numeric GID. chmod mode path Change permissions of file path to mode. path may contain glob(3) characters and may match multiple files. chown own path Change owner of file path to own. path may contain glob(3) charac‐ ters and may match multiple files. own must be a numeric UID. df [-hi] [path] Display usage information for the filesystem holding the current directory (or path if specified). If the -h flag is specified, the capacity information will be displayed using "human-readable" suf‐ fixes. The -i flag requests display of inode information in addi‐ tion to capacity information. This command is only supported on servers that implement the<EMAIL_ADDRESS>extension. exit Quit sftp. get [-Ppr] remote-path [local-path] Retrieve the remote-path and store it on the local machine. If the local path name is not specified, it is given the same name it has on the remote machine. remote-path may contain glob(3) characters and may match multiple files. If it does and local-path is speci‐ fied, then local-path must specify a directory. If either the -P or -p flag is specified, then full file permis‐ sions and access times are copied too. If the -r flag is specified then directories will be copied recur‐ sively. Note that sftp does not follow symbolic links when per‐ forming recursive transfers. help Display help text. lcd path Change local directory to path. lls [ls-options [path]] Display local directory listing of either path or current directory if path is not specified. ls-options may contain any flags sup‐ ported by the local system's ls(1) command. path may contain glob(3) characters and may match multiple files. lmkdir path Create local directory specified by path. ln [-s] oldpath newpath Create a link from oldpath to newpath. If the -s flag is specified the created link is a symbolic link, otherwise it is a hard link. lpwd Print local working directory. ls [-1afhlnrSt] [path] Display a remote directory listing of either path or the current directory if path is not specified. path may contain glob(3) char‐ acters and may match multiple files. The following flags are recognized and alter the behaviour of ls accordingly: -1 Produce single columnar output. -a List files beginning with a dot (‘.’). -f Do not sort the listing. The default sort order is lexico‐ graphical. -h When used with a long format option, use unit suffixes: Byte, Kilobyte, Megabyte, Gigabyte, Terabyte, Petabyte, and Exabyte in order to reduce the number of digits to four or fewer using powers of 2 for sizes (K=1024, M=1048576, etc.). -l Display additional details including permissions and owner‐ ship information. -n Produce a long listing with user and group information pre‐ sented numerically. -r Reverse the sort order of the listing. -S Sort the listing by file size. -t Sort the listing by last modification time. lumask umask Set local umask to umask. mkdir path Create remote directory specified by path. progress Toggle display of progress meter. put [-Ppr] local-path [remote-path] Upload local-path and store it on the remote machine. If the remote path name is not specified, it is given the same name it has on the local machine. local-path may contain glob(3) characters and may match multiple files. If it does and remote-path is speci‐ fied, then remote-path must specify a directory. If either the -P or -p flag is specified, then full file permis‐ sions and access times are copied too. If the -r flag is specified then directories will be copied recur‐ sively. Note that sftp does not follow symbolic links when per‐ forming recursive transfers. pwd Display remote working directory. quit Quit sftp. rename oldpath newpath Rename remote file from oldpath to newpath. rm path Delete remote file specified by path. rmdir path Remove remote directory specified by path. symlink oldpath newpath Create a symbolic link from oldpath to newpath. version Display the sftp protocol version. !command Execute command in local shell. ! Escape to local shell. ? Synonym for help. SEE ALSO ftp(1), ls(1), scp(1), ssh(1), ssh-add(1), ssh-keygen(1), glob(3), ssh_config(5), sftp-server(8), sshd(8) T. Ylonen and S. Lehtinen, SSH File Transfer Protocol, draft-ietf-secsh- filexfer-00.txt, January 2001, work in progress material. BSD October 8, 2016 BSD


Aurora ISA v0.0.1a Specifications
Aurora is a simple RISC-based instruction set that ohnx is developing in order to learn about ISA's and FPGA's.
This is the specification sheet for version 0.0.1 alpha. Instruction codes and other behaviours for v0.0.1a are defined here.
Note that this document describes an alpha of Aurora. Breaking changes may be made without notice, and some items may not make sense.
Currently, there are no known working implementations of Aurora v0.0.1a.
Contents
1. Basic Information
2. Instructions
3. Faults and Exceptions
Basic Information
Aurora is a 24-bit little-endian architecture. There are 16 registers that store 24-bit values. Bytes (8 bits) of memory are addressed with 24-bit numbers, giving a maximum of 16 MiB of addressable memory.
The 16 registers are split into one Program Counter (reg15), one Program Status (reg14), four Reserved registers (reg10 to 13 inclusive) and ten General-Purpose registers (reg0 to 9 inclusive). Currently, there are no floating-point registers nor support for floating-point math operations. However, the four reserved registers could be used in the future for such a purpose.
Instructions
Aurora's instructions are 16 bits, with the exception of a special 32-bit instruction.
An important thing to note is that instructions are byte-aligned.
| 00 |
01 |
02 |
03 |
04 |
05 |
06 |
07 |
08 |
09 |
10 |
11 |
12 |
13 |
14 |
15 |
Comments |
| 0x0 |
anything |
No-op |
| 0x1 |
0x0 |
N |
RegA |
RegB |
copy N bytes starting from the memory address contained in register "a" to the register "b" |
| 0x1 |
0x1 |
N |
RegA |
RegB |
copy N byte value of register "a" to the area of memory specified by the memory address contained in register "b" |
| 0x1 |
0x2 |
N |
RegA |
RegB |
copy N byte value of register "a" to register "b" |
| 0x2 |
0x0 |
N |
RegA |
RegB |
Compare the N-byte values of registers a and b. |
| 0x3 |
Condition |
RegA |
Pad |
Jump to memory address in RegA based on condition |
| 0x4 |
Specifier |
RegA |
RegB |
Perform integer math on RegA and RegB and store the result in RegA |
| 0xD |
Extension code |
Check if extension is supported |
| 0xE |
Extension code |
Call extension |
A few additional notes about instructions:
- When copying 1 or 2 bytes from a register, the LSB is copied first.
- Conditions available are
- 0x0 - Unconditional
- 0x1 - Equal
- 0x2 - Greater than
- 0x4 - Less than
- 0x3 - Greater than or equal to
- 0x5 - Less than or equal to
- 0xF - not equal
- Specifiers available for mathematical operations are
- 0x0 - Add
- 0x1 - Subtract
- 0x2 - Multiply
- 0x3 - Divide (RegA / RegB)
- 0x4 - Remainder (RegA % RegB)
- 0x5 - Bitshift left (RegA << RegB)
- 0x6 - Bitshift right (RegA >> RegB)
- 0x7 - Bitwise OR (RegA | RegB)
- 0x8 - Bitwise AND (RegA & RegB)
- 0x9 - Bitwise XOR (RegA ^ RegB)
- 0xA - Bitwise NOT (!RegA), RegB is ignored
- 0xB - Increment by 1
- 0xC - Decrement by 1
Special instructions
There is a single special instruction in Aurora, the 32-bit one. It is used to initialize registers to a certain value of memory.
The 32-bit instruction:
| 00 |
01 |
02 |
03 |
04 |
05 |
06 |
07 |
08 |
09 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
28 |
29 |
30 |
31 |
Comments |
| 0xF |
RegA |
Value |
Store 24-bit value in RegA |
Faults and Exceptions
Aurora does not have any built-in security features, so it does not trigger many faults or exceptions.
If an unknown opcode in a byte is found, that byte and the next byte are both ignored silently.
If the program attempts to access a Reserved register, read operations will return 0, and write operations will silently fail.


Testcap is a sample WDM Stream class
video capture driver that does not require any hardware for operation. The
driver simulates the front-end components of a PC/TV, including input
selection, TvTuning, TvAudio
control, and digital video streaming. You can use TestCap
as a prototype for developing your own kernel streaming minidriver.
The TvTuner
component supports tuning modes of Analog TV (NTSC/PAL/SECAM), AM/FM Radio, and
ATSC (American Broadcast Digital Television).
Testcap appears in a DirectShow graph as
four separate filters:
The capture filter
produces five output streams, two of which are Capture and Preview, which
produce a variety of colorbars and grayscale patterns
depending on the video input selected on the crossbar. The capture and preview
streams contain video samples in either RGB24 or YUV422 color spaces and offer a large number of different image
dimensions. The other three capture streams are VBI (vertical blanking
interval), HWCC (hardware closed captioning), and HWNABTS (hardware North
American Basic Teletext Specification). These three
are VBI streams, and offer simulated CC and NABTS waveforms for decoding, and
simulated hardware-decoded CC and NABTS.
TestCap contains sample implementations for
almost all of the kernel streaming property sets
involved in WDM video capture. Most of the property set
implementations are useful only as prototypes, which you can borrow for
your own implementations because Testcap doesn't
control actual hardware.
TestCap represents one extreme of
combining all functionality representing the front end of a PC/TV into a single
driver. The other extreme is to create a separate driver for each element: TvTuner, TvAudio, Crossbar, and
Capture.
The TestCap
sample is completely contained in one directory. Build the sample with the
standard DDK build utility. You may build the sample in either a checked or
free DDK build environment. TestCap compiles for
Windows 98 and later, and Windows 2000 and later operating systems. The sample
also compiles for 64-bit Windows platforms. The resulting binary from the build
process is Testcap.sys, which is compatible on x86
and Alpha platforms.
Testcap is not a PnP driver, and because
no hardware is involved you must manually install it:
TestCap has been tested with the
following applicatons: Graphedt.exe, AMCap.exe, and WebTV
for Windows.
The Windows Hardware and Driver
Central website contains general information on driver and hardware
development.
The Microsoft DirectX
website contains information on DirectShow.
Testcap does not save to the registry
changes made to TvTuner, Crossbar, VideoProcAmp or CameraControl
property settings between reboots.
Operation
The DriverEntry() routine in CapMain.c initializes a HW_INITIALIZATION_DATA structure
with the entry points of driver-implemented functions.
The HwReceivePacket member of the HW_INITIALIZATION_DATA
structure points to the driver-implement entry point for receiving SRBs (Stream Request Packets) from the Stream class driver. For example, TestCap
may receive the following sequence of SRBs:
The HwCancelPacket member of the HW_INITIALIZATION_DATA
structure points to the driver-implemented entry point that the Stream class
driver calls to cancel packets that it has already sent to TestCap. The HwRequestTimeoutHandler
member of the HW_INITIALIZATION_DATA structure points to the driver-implemented
entry point to call if a packet has been queued for too long and has timed-out.
Clocks
Testcap, like most video capture drivers,
does not act as clock source for a filter graph.
Frame rate and dropped
frames
Digital cameras support
discrete frame rates. However, a client application can request to stream at
any rate. WDM video capture drivers are required either to match the requested
rate, or to select the next lower rate from the requested frame rate because oversampling the rate can cause synchronization problems.
The dropped frame
information is calculated instead of actual count, and it is based on the
capture rate and the actual count of frames captured.
File Description
CapDebug.h Debug functions
CapIRQ.c Sample IRQ routines.
CapMain.c DriverEntry(), initialize, un-initialize, and adapter SRB processing.
CapMain.h Header file for above.
CapProp.c Process all adapter property sets including TvTuner, Crossbar, VideoProcAmp, and CameraControl properties.
CapProp.h Header file for above.
CapStrm.h Declarations of streams and formats supported by the driver.
CapVBI.c Stream SRB processing for VBI pins
CapVideo.c Stream SRB processing.
CapXfer.c Synthesizes images.
CapXfer.h Header file for above.
DDraw.c Sample functions for handling kernel DDraw interfaces. Not actually used by this driver at present.
Mediums.h Describes topological connections for the streams.
SOURCES The generic file for building the code sample.
Testcap.htm The documentation for this sample (this file).
Testcap.inf A sample installation file.
Testcap.rc Resource file mainly for version
VBIdata.c Contains typical VBI waveforms.
VBIdata.h Header file for above.
VBIXfer.c Synthesizes VBI data.
VBIXfer.h Header file for above.
We welcome your comments,
feature requests and problem reports. See the Windows Hardware and Driver
Central website for more information.
|
|
© 2004 Microsoft
Corporation


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/write.20access.20to.20the.20repository.html ---
Hi @Bhavik Mehta, I just gave you write access to the repository. (Also --- anyone who has successfully made a PR or two: please ask!)
It would be great if you could make PRs by pushing branches to the main repository (i.e. rather than making PRs from a branch on your repository).
This has two big advantages.
No need to modify in progress PRs, but this would be helpful in future.
(This goes for everyone contributing... you'll get faster reviews this way. :-)
Scott Morrison said:
- Our CI setup will generate oleans for the branch, so when someone checks it out everything should already be compiled.
Is this still true? If so, how do I get this to work? Doing git pull / git checkout
(especially when switching between branches of mathlib) recompiles everything and takes ages
I believe you can either run leanproject get-cache
after switching branches, or you can set up some git hooks which do something like this automatically with leanproject hooks
.
Or leanproject up
after switching branches
Great thanks!
[deleted; repeated above]
Even betterest, also use git worktree add ...
to avoid switching branches
Last updated: Apr 24 2020 at 19:02 UTC


Abstract - finding similarity, generality Use power of abstraction to avoid unnecessay repetition
SYSTEMATIC DEBUGGING - problem, potential causesDebugging - a systematic process of identifying the cause of a computer that doesn’t work
TECHNOLOGICAL EMPHATY -> how computer thinks
SYSTEM THINKING -> break down into component
Fork - you make your own version
Basics of the webWorld wide web is a collection of html documents
Html - hypertext markup language, was invented in early 1990ties
Major pieces of webMe -> browser (eg ff makes request through internet to server)-> internet -(via http protocols)->servers (computers sitting in a closet and hosting files)
HTML
Is made of
1) Text content (what you see)
2) Markup (what it looks like)
3) References to other documents eg images, videos
4) Links to other pages
Markup
is made up of
tags
< b> - bold
< em> - italics
HMTL attributes
< TAG ATTR - "value"> content
- anchor (enker) for making links
< a href-attribute name = "www.google.com"> lalala a>
< img > includes images
< img scr-source = "url" alt -alternate, required if image is not there, for example for brind people "text" >
- paragraph, block
< p > content
CSS - language to add style to your document
Document structure
< html > opening html tag
< head > metadata, random stuff
< title > title of the page
< body > content of the doc
a) Tag - is always contained within angled brackets. Most have opening and closing
b) Attribute - property of html elements


Created by Arthur Tkachenko
CSS 2.1 defined four layout modes — algorithms which determine the size and position of boxes based on their relationships with their sibling and ancestor boxes:
Flexbox layout (Flexible box) aiming to provide a more efficient way to create layout, align and adjust space between items in container, even if size is unknown or dynamic.
This is why we use term "flex" for this child items. Main idea is to give ability to alter width and height and order to child elements. It can fit to big part of process, relate to adjustment web pages for different devices and screens
Note: Flexbox is better to use for components, small sized layouts. While Grid system is better choice for large scale layouts.
Flexbox is a set of CSS rules. it envolve a lot of things. Flexbox have a hierarchy in CSS rules. Some rules related to a parent components (Flex Container) and child components (Flex Items) Regular CSS blocks use Block + Inline directions. Flexbox is based on their own directions.
usually items go from MainStart to MainEnd
Main Axis - primary line along which flex items are laid off. can be horizontal or vertical.
Main Start, Main End - place where flex items are placed(inside container)
Main Size - depends on what main dimension is. it can be flex item width or height.
Cross-Axis It's an axis perpendicular to the main aixs. it direction depends on main axis directions
Cross-Start, Cross-End - Flex line, filled with items and placed into container.
cross-size - width or height of a flex item......
display: defines a flex container. it can on/off the Flexbox magic. without this rule -> wouldn't work code| container {display: flex or inline-flex}
container {display: flex or inline-flex}
flex-directions: defines how inside are appeared. Good and easy for manipulation. it'll manipulate main-axis.
row: display items left to right
row-reverse: display items right to left
column: display items same to row, but top to bottom
column-reverse: display items bottom to top
flex-wrap: define if flex item, that cannot fit to the Inline
nowrap: default section, all items should be one line
wrap: flex items will fill onto multiple lines from top to bottom
wrap-reverse: flex items, but from bottom to top
flex-flow: (direction or wrap) it's a short version of 2 style rules, it's save time and equal \ default settings equal to `flex-div` row & `flex-wrap` nowrap
more advanced version that we can have in default CSS rules. partially was done at Bootstrap(same logic, different realization by "hacks")
flex-start: items are packed toward the start line
flex-end: items are packed toward the end line
center: items centered along the line
space-between: items are evenly distributed in the line. first item is on the start line, last item on the end line.
space-around: items are evenly distributed in the line with the equal space on both sides. first item will have one unit of space against to parent container but next item will have 2 units of space between the next item, because that next item has it's own spacing
space-evenly: items are distributed so that the spacing between any two items is equal.
!!!!align-items before flex module was this logic released, it can be done only by jQuery plugins. defines default behavior for how flex items are laid out along the cross-axis.
flex-start: cross-start margin edge is placed on the cross-start line
flex-end: cross-end margin edge of the items, placed on the cross-end line
center: items centered in the cross-axis
baseline: items are aligned such as their baseline
stretch: it's a default settings stretched to fill the container (still respect min-width/max-width)
align-content inside elements will fill the empty space by different logic (it's a very important rule) applied to all elements inside. same to justify-content align individual items
flex-start: lines packed to the start of the container
flex-end: lines packed to the end of the container
center: lines packed to the center of container
space-between: lines evenly distributed, the first line is at start of container, last one - at the end
space-around: lines evenly distributed with equal space around each line
stretch: (default setting) line stretch to take up remaining space.
OK, it was all instructions related to flex container.
Flex items is next!
order: self-explanatory, before you can do it only with DOM manipulation via javascript or at server side. default is 0.
flex-grow: important rule, because now you can calm about amount of container inside. Important for different screen sizes. Same a lot of times for Frontend Developers that use it. define ability to grow(if necessary) works as proportion. Number of this rule dictates what amount of the available space inside the flex container the item should take up. it all items have flex-grow = 1, all remaining space will be distributed equally to all children. if one item has value 2 -> remaining space would take up twice(increased 2x) as others
flex-shrink: define an ability for a item to shrink if it necessary. negative numbers invalid.
flex-basis: define default size of an element before the remaining space is distributed. can be a lenght or keyword.
auto: auto term means (looks only at width or height property)
content: keyword means (size based on content) but content is not 100% supported well
Before you should add classes, that will handle that. Only positive numbers. if set 0 - extra space not counting if set auto - extra space will be distributed based on 'flex-grow' value
flex: this css rule is a short version first section is equal to flex-grow, second equal to flex-shrink third equal to flex-basis second, third is optional. default setting is `0 auto 1;` better to use this property. because it make code clear.
align-self: sometimes you need to override position of one or few elements instead of setting rules for each item. used in custom cases only. can align and override main rules. float, clear and vertical align. wouldn't work on flex item.
auto: xxx
flex-start: xxx
flex-end: xxx
center: xxx
baseline: xxx
Example: perfect centering with few elements inside container. relies of margin auto rule. it absorbed all extra space. Let's have a list of 6 items with fixed dimensions but they will be auto-sized. All items will have evenly on horizontal Axis so when you resize browser, all will looks fine and without media queries (Fuh) Media queries is good, but it's not perfect.
"Can I Use?" statistic
Use the Space key to navigate through all slides.
Nested slides are useful for adding additional detail underneath a high level horizontal slide.
That's it, time to go back up.
That's it, time to go back up.
That's it, time to go back up.
That's it, time to go back up.
Slides can be nested inside of each other.
Use the Space key to navigate through all slides.
Nested slides are useful for adding additional detail underneath a high level horizontal slide.
That's it, time to go back up.
Not a coder? Not a problem. There's a fully-featured visual editor for authoring these, try it out at https://slides.com.
Press ESC to enter the slide overview.
Hold down alt and click on any element to zoom in on it using zoom.js. Alt + click anywhere to zoom back out.
Presentations look great on touch devices, like mobile phones and tablets. Simply swipe through your slides.
Hit the next arrow...
... to step through ...
... a fragmented slide.
There's different types of fragments, like:
grow
shrink
fade-out
fade-right, up, down, left
fade-in-then-out
fade-in-then-semi-out
Highlight red blue green
You can select from different transitions, like:
None -
Fade -
Slide -
Convex -
Concave -
Zoom
reveal.js comes with a few themes built in:
Black (default) -
White -
League -
Sky -
Beige -
Simple
Serif -
Blood -
Night -
Moon -
Solarized
Set data-background="#dddddd"
on a slide to change the background color. All CSS color formats are supported.

Different background transitions are available via the backgroundTransition option. This one's called "zoom".
Reveal.configure({ backgroundTransition: 'zoom' })
You can override background transitions per-slide.

function linkify( selector ) {
if( supports3DTransforms ) {
var nodes = document.querySelectorAll( selector );
for( var i = 0, len = nodes.length; i < len; i++ ) {
var node = nodes[i];
if( !node.className ) {
node.className += ' roll';
}
}
}
}
Code syntax highlighting courtesy of highlight.js.
| Item | Value | Quantity |
|---|---|---|
| Apples | $1 | 7 |
| Lemonade | $2 | 18 |
| Bread | $3 | 2 |
These guys come in two forms, inline: The nice thing about standards is that there are so many to choose from
and block:
“For years there has been a theory that millions of monkeys typing at random on millions of typewriters would reproduce the entire works of Shakespeare. The Internet has proven this theory to be untrue.”
You can link between slides internally, like this.
There's a speaker view. It includes a timer, preview of the upcoming slide as well as your speaker notes.
Press the S key to try it out.
Presentations can be exported to PDF, here's an example:
Set data-state="something"
on a slide and "something"
will be added as a class to the document element when the slide is open.
Additionally custom events can be triggered on a per slide basis by binding to the data-state
name.
Reveal.addEventListener( 'customevent', function() {
console.log( '"customevent" has fired' );
} );
Press B or . on your keyboard to pause the presentation. This is helpful when you're on stage and want to take distracting slides off the screen.


Seo Checkup
Using this tool, you can check the SEO status of your blog.
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Link Submitter
Send your blog's link to Google domains eg pk, sa, in, uk, cz etc with one click ..
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Meta Analyzer
Analyzing meta tags for your site to make it better for SEO.
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Sitemap Generator
Create an XML Sitemap for your blog using this tool.
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Copy content checker
Check whether someone has copied your content or not.
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Page Rank Checker
Check the order of the blog page Use this tool ...
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Alexa Rank
Check the general ranking of your blog, ranking it in your country, and other information about your blog.
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Keywords Tool
Search for high search keywords in order to make the search engine results top.
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Social Analytics
Check the number of posts received by social networks.
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Code Minifier
Compress HTML, XML, CSS, Javascript to speed up your blog via this tool.
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Google Pageinsights
Check the speed, layout and code of your blog etc. via this tool.
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Testing Tool
Test your blog for a Google-formatted snippet and test it.
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Backlinks Generator
Create a high PR for your blog in order to improve your ranking on Alexa.
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Robots.txt Analyzer
Analyze your site's robots.txt for verification.
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Robots.txt Generator
Check or create a robots.txt file.
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Directory Submitter
Submit your blog link to global directories.
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Your Weight
25
Ideal Weight
25
Your Weight
25
Your Weight
25
Calorie Count above are per day numbers
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