SoupRequestFile
SoupRequestFile — SoupRequest support for "file" and "resource" URIs
|
|
Implemented Interfaces
SoupRequestFile implements
GInitable.
Includes
#include <libsoup/soup.h>
Functions
soup_request_file_get_file ()
GFile *
soup_request_file_get_file (SoupRequestFile *file
);
Gets a GFile corresponding to file
's URI
Returns
a GFile corresponding to file
.
[transfer full]
Since 2.40
Types and Values
SoupRequestFile
typedef struct _SoupRequestFile SoupRequestFile;


dev/vignettes/not-built-vignettes/basic-abm.Rmd
basic-abm.Rmd
In this vignette, we explore agent-based models with EpiCompare. Specifically, we
Define an agent-based model (ABM).
Briefly explain the relationship between ABMs and aggregate models.
Demonstrate how EpiCompare can be used to create and visualize basic agent-based models.
There are numerous sophisticated software to create stochastic aggregate models (e.g. (???) or (Jenness, Goodreau, and Morris 2018)). Over the past decade, the number of ABMs has also increased (e.g. FRED, VBI). In our experience, ABMs are less accessible to the typical scientist because of privacy concerns or computational concerns.
One thing we can do with ABMs is to mimic an aggregate model. While a compartment model would only look at group-level information with respect to an epidemic (e.g. the number of susceptible, infectious, and recovered at each time step), an agent-based model would allow us to track any and all agents over time.
EpiCompare creates stochastic ABMs that are based on the ODEs used to describe transitions among epidemic states. Note that the functions in EpiCompare are based on discrete time-steps or difference equations as opposed to ODEs.
Recall that a SIR model without birth and death in a population of size \(N\) and initial population \((S(0), I(0), R(0))\) is given by the following set of equations:
\[ \frac{dS}{dt} = -\beta \frac{SI}{N} \]
\[ \frac{dI}{dt} = \beta \frac{SI}{N} - \gamma I \]
\[ \frac{dR}{dt} = \gamma I. \]
We could instead use a transition matrix (cite) to describe the non-negative number of individuals moving from state \(i\) to state \(j\) (either the instantaneous rate of change or the difference from one time step to the next).
For example, the SIR ODEs describe \(K=3\) states and so our transition matrix is
\[ D = \left (\begin{array}{ccc} S\left (1 - \beta \frac{I}{N} \right ) & S\beta \frac{I}{N} & 0\\ 0 & I(1 - \gamma) & I\gamma\\ 0 & 0 & R \end{array} \right ), \] where entry (1,2) corresponds to the movement of individuals in state S to state I.
Once we have \(D\), we can create a stochastic analog of the model by deriving a transition probability matrix \(P\) where entry \(P_{ij} = \frac{D_{ij} }{\sum_{k=1}^K D_{ik}}\) is the normalized probability of moving from the current state (the row) to the next state (the column).
The stochastic updates in the ABM are then given through Multinomial draws conditioned on an agent’s current state at time \(t\). For agent \(n\) currently in state \(i\), the agent’s next state is given by a Categorical draw which is dependent on the transition matrix \(D\), \[ A_n(t+1) |D(t) \sim \mathrm{Categorical} \left (1, P_i(t) \right ). \]
This procedure can be done simply with EpiCompare with the following code:
set.seed(2020) ## This is the SIR representation trans_mat <- matrix(c("X0 * (1 - X1 * par1 / N)", "X0 * X1 * par1 / N", "0", "0", "X1 * (1 - par2)", "par2 * X1", "0", "0", "X2"), byrow = TRUE, nrow = 3) rownames(trans_mat) <- c("S", "I", "R") init_vals <- c(950, 50, 0) par_vals <- c(par1 = .1, par2 = .03) max_T <- 100 n_sims <- 10 abm <- simulate_agents(trans_mat, init_vals, par_vals, max_T, n_sims, verbose = FALSE) head(abm) %>% kable() %>% kable_styling(position = "center")
| sim | agent_id | S | I | R |
|---|---|---|---|---|
| 1 | 1 | 1 | 42 | 52 |
| 1 | 2 | 1 | 30 | 77 |
| 1 | 3 | 1 | 31 | 65 |
| 1 | 4 | 1 | 60 | NA |
| 1 | 5 | 1 | NA | NA |
| 1 | 6 | 1 | 70 | NA |
The main difference in the output of simulate_agents
and functions from EpiModel and pomp is that we can determine exactly when each agent moves from one state as opposed to the aggregate total in each state.
We can compare our ABM to aggregate models with agents_to_aggregate
.
agg_model <- abm %>% dplyr::group_by(sim) %>% agents_to_aggregate(states = c(I, R)) head(agg_model) %>% kable() %>% kable_styling(position = "center")
| sim | t | X0 | X1 | X2 |
|---|---|---|---|---|
| 1 | 0 | 1000 | 0 | 0 |
| 1 | 1 | 950 | 50 | 0 |
| 1 | 2 | 945 | 54 | 1 |
| 1 | 3 | 941 | 57 | 2 |
| 1 | 4 | 936 | 62 | 2 |
| 1 | 5 | 932 | 64 | 4 |
ggplot(agg_model, aes(x = t, y = X1, group= sim, col = factor(sim))) + geom_line() + labs(x = "time", y = "Number of infectious", col = "Sim.")
The strength of simulate_agents
is that it can simulate an outbreak for any valid input of \(D\).
In this model, a recovered individual does not acquire lifelong immunity. The ODEs we use are
\[ \frac{dS}{dt} = -\beta (t) \frac{SI}{N} + \eta R \]
\[ \frac{dI}{dt} = \beta (t) \frac{SI}{N} - \gamma I \]
\[ \frac{dR}{dt} = \gamma I - \eta R. \] where \(\beta(t) = b + sin(t)\), which allows for a cyclical infection rate.
## SIRS ## This is the SIRS representation trans_mat <- matrix(c("X0 * (1 - X1 * (par1 + sin(t)) / N)", "X0 * X1 * (par1 + sin(t)) / N", "0", "0", "X1 * (1 - par2)", "par2 * X1", "X2 * par3", "0", "X2 * (1 - par3)"), byrow = TRUE, nrow = 3) rownames(trans_mat) <- c("S", "I", "R") colnames(trans_mat) <- c("S", "I", "R") init_vals <- c(950, 50, 0) par_vals <- c(par1 = .5, par2 = .25, par3 = .05) max_T <- 100 n_sims <- 100 ## Print the transition matrix kable(trans_mat) %>% kable_styling(positio = "center")
| S | I | R | |
|---|---|---|---|
| S | X0 * (1 - X1 * (par1 + sin(t)) / N) | X0 * X1 * (par1 + sin(t)) / N | 0 |
| I | 0 | X1 * (1 - par2) | par2 * X1 |
| R | X2 * par3 | 0 | X2 * (1 - par3) |
## Warning: will take about a minute. Set `verbose = TRUE` to see progress set.seed(2020) abm <- simulate_agents(trans_mat, init_vals, par_vals, max_T, n_sims, verbose = FALSE, out_format = "long") head(abm) %>% kable() %>% kable_styling(position = "center")
| sim | agent_id | time | state | state_name |
|---|---|---|---|---|
| 1 | 1 | 1 | 0 | S |
| 1 | 1 | 4 | 1 | I |
| 1 | 1 | 6 | 2 | R |
| 1 | 1 | 16 | 0 | S |
| 1 | 1 | 85 | 1 | I |
| 1 | 1 | 88 | 2 | R |
In the above table, it is clear that the agent can become susceptible again.
Jenness, Samuel, Steven Goodreau, and Martina Morris. 2018. “EpiModel: An R Package for Mathematical Modeling of Infectious Disease over Networks.” Journal of Statistical Software, Articles 84 (8): 1–47. https://doi.org/10.18637/jss.v084.i08.


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Salmonella concerns prompt recall of some Quest cat food nationwide
by Sommer BrokawNov. 16 (UPI) -- A Utah company has recalled 2-pound bags of frozen Quest cat food nationwide over potential salmonella contamination.
A company announcement said this week that salmonella, which may cause nausea and fever symptoms, could affect not only animals, but also humans handling products if they do not wash their hands thoroughly afterwards.
No illnesses have been reported.
Go Raw, LLC, of Cottonwood, Utah, is conducting the voluntary recall of one lot of beef type Quest cat food.
It was initiated after the Minnesota Department of Agriculture notified the firm that a sample was collected and tested positive for salmonella.
"The firm did conduct their own test which resulted in a negative result," the announcement said. "Salmonella is not evenly distributed throughout a lot which is why it could have been found on a small sample that the Minnesota department of agriculture took."
The items were distributed nationwide and identified with UPC-6-91730-17101-8, Lot N128, the announcement said. Customers who have purchased the items are encouraged to return them to retail stores where they bought the products for a full refund.
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CrimPapers
Articles published on 22 April 2019
On 22 April 2019, 7 new articles were published in 7 journals.
Code of the Terrorists: the Pkk and the Social Construction of Violence
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Note: although this article was published on 4 February 2019, the publisher only added it to the journal RSS feed on 22 April 2019, which is why it is shown in the list of articles for that date.
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---
layout: post
title: TIL that ampersand...
date: '2013-07-19T16:42:00.000-04:00'
author: Bob Sica
tags:
- punctuation
- Link
- TIL
modified_time: '2013-08-01T16:06:03.597-04:00'
blogger_id: tag:blogger.com,1999:blog-4599947215754335931.post-1278535598838295425
blogger_orig_url: http://blog.bobsica.com/2013/07/til-that-ampersand.html
---
TIL that *ampersand* is a corruption of the phrase "and (&) per se and", meaning the symbol & means “and”.
and I’ve never been able to hand write the darn things, they look like funny 8’s.


Responsive Design
Responsive design is the process of designing websites for different screen sizes/devices. CSS Media Queries are used to reposition and adjust elements based on the size of the device's screen. Following responsive design allows the developer to avoid creating separate versions for mobile and desktop.1
Fluid Layouts
In fixed layout scenario, the width of the page and various elements are defined by a specific number of pixels. In contrast, a fluid website design is defined by percentages based on the user's screen resolution.2
Conclusion
Responsive design has many benefits for both developers and end users. For the developer it may be extra work on the front end but it optimizes your site for a whole variety of screen sizes and devices without having to build separate mobile versions. It also future-proofs your site for new device sizes that may not be known at the present time. For the end user the benefit is having the most tailored experience for their device regardless of screen size.3


Machine Learning: Curriculum
This is the curriculum I’ve followed with the goal of understanding machine learning from first principles whilst also building practical experience applicable to real-world problems. I’d be thrilled if this record of my path is useful to anyone else who is approaching machine learning from a background in software development or otherwise. If you’d like to discuss please dm me on twitter or email.
Starting point
- Undergraduate degree in Audio Engineering covering audio signal processing, compression techniques, auditory perception, mathematics and electrical engineering
- 6 years experience working in software development and prototyping for iOS and web
- 2-3 years experience in python development for backend web services and some data analysis
- lots of messing around with Arduino microprocessors
- A-level and undergraduate mathematics in need of refresh
1. Machine Learning by Andrew Ng
(Stanford / Coursera)
A broad high-level introduction to machine learning techniques. A good motivational course but I stopped after week 5 because I felt it was too high-level, instead I wanted to approach the subject bottom-up from mathematical principles.
My code solutions are on Github here.
- Linear Regression with One Variable
- Linear Algebra Review
- Linear Regression with Multiple Variables
- Octave/Matlab Tutorial
- Logistic Regression
- Regularisation
- Neural Networks
2. Mathematics for Machine Learning
(Imperial College / Coursera)
A good introduction to some of the prerequisite mathematics for machine learning covering Linear Algebra, Multivariate Calculus and statistical methods. I feel that probability theory is missing.
See my code on Github here.
Course 1: Linear Algebra
Lecturer: David Dye
- The relationship between machine learning, linear algebra, and vectors and matrices
- Vectors
- Modulus & inner product
- Dot product
- Projection
- Basis, vector space, and linear independence
- Changing basis
- Matrices in linear algebra: operating on vectors
- Matrix Inverses, Gaussian elimination
- Matrix Determinants and Inverses
- Einstein summation
- Non-square matrix multiplication
- Matrix transforms, mapping and changing basis
- Orthogonal matrices
- The Gram-Schmidt process
- Eigenvalues and eigenvectors
- Eigenvector application: implementation of Page Rank algorithm
Course 2: Multivariate Calculus
Lecturer: Samuel J. Cooper
- Gradients and derivatives
- Multivariate Product Rule & Chain Rule
- Multivariate calculus
- Partial differentiation
- The Jacobian
- The Hessian
- Multivariate chain rule
- Implementation of back propagation and neural net
- Multivariate Taylor Series approximations
- Optimisation
- Newton-Raphson method
- Implementation and comparison of gradient descent methods
- Constrained optimisation & Lagrange multipliers
- Linear regression
- General non-linear least squares
Course 3: Principle Components Analysis
Lecturer: Marc P. Deisenroth
- Mean of datasets
- Variances and covariances
- Linear transformation of datasets
- Dot product
- Inner products
- Projections
- Principle Component Analysis derivation
- Principle Component Analysis implementation
Supporting study:
- Pavel Grinfeld’s inner product course
- Lagrange multipliers and constrained optimisation – Khan Academy
- Reduced row echelon form – Khan Academy
- More on Linear Independence - Khan Academy
- Matplotlib tutorials and a helpful introduction to matplotlib from Chris Moffit
3. House Prices: Kaggle
Although all courses included in the curriculum so far include practical exercises they are quite heavily guided so I wanted a more free-form applied setting. For this I turned to Kaggle.
See my notebook here. Disclaimer – a lot of naive work here which lead me to pick up An Introduction to Statistical Learning next.
Supporting study:
- Python Data ScienceHandbook by Jake VanderPlas
4. An Introduction to Statistical Learning
Trevor Hastie and Robert Tibshirani (Textbook)
To build a conceptual and applied understanding of supervised learning techniques I chose to work through An Introduction to Statistical Learning cover-to-cover, completing the exercise at the end of each chapter. Conceptual exercises cover the mathematics, whilst applied exercises focus on prediction and inference tasks using various datasets.
The textbook targets the R programming language, but I decided to implement my solutions in Python. Where Python lacked R’s functionality I implemented from scratch – I found this to be a useful means to build intution.
Links to my notebooks below:
Chapter 2 - Statistical Learning: Conceptual
Chapter 2 - Statistical Learning: Applied
Chapter 3 - Linear Regression: Conceptual
Chapter 3 - Linear Regression: Applied
Chapter 4 - Classification: Conceptual
Chapter 4 - Classification: Applied
Chapter 5 - Resampling Methods: Conceptual
Chapter 5 - Resampling Methods: Applied
Chapter 6 - Linear Model Selection and Regularization: Labs
Chapter 6 - Linear Model Selection and Regularization: Conceptual
Chapter 6 - Linear Model Selection and Regularization: Applied
Chapter 7 - Moving Beyond Linearity: Labs
Chapter 7 - Moving Beyond Linearity: Applied
Chapter 8 - Tree-Based Methods: Labs
Chapter 8 - Tree-Based Methods: Conceptual
Chapter 8 - Tree-Based Methods: Applied
Chapter 9 - Support Vetor Machines: Labs
Chapter 9 - Support Vetor Machines: Conceptual
Chapter 9 - Support Vetor Machines: Applied
The source code for these notebooks is available on Github here.
Ideas for future study
Below is an evolving and rough plan for areas of study and projects that I’d like to do dive into next.
Probability Theory / Bayesian Statistics
I think we need some introduction to bayesian statistics. Options I’ve found so far are:
- Curriculum: Count Bayes
- Lectures: Aubrey Clayton’s Logic of Science lecture series
- Book: Probability Theory: The Logic of Science by E.T. Jaynes, Bayesian Statistics, them seminal work.
- Book: Doing Bayesian Data Analysis by John K. Kruschke, practical Bayesian Data Analysis
Game Theory
- Course: Game Theory (Coursera)
- Project: submit at contribution to the Axlerod project
Reinforcement learning
- Lectures: Introduction to Reinforcement Learning by David Silver
- Book: Reinforcement Learning: An Introduction (2nd Edition)
- Project: Try and solve some arcade game, or some other simulated problem
Deep learning
- Course: Andrew Ng’s Deep Learning Specialisation
- Book: Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
Other references
- This is the best ML bibliography I’ve found from Centre for Human-Compatible Artificial Intelligence.


| DOSE: |
1 cig. |
smoked |
Cannabis |
(plant material) |
Firstly I must say that I have had this trip about four or five times before but I have never written about it. I think I didnít want to write about it before because I was scared of accepting that I have experienced something like this. I am writing this account the morning after. I am 17 and I do not smoke weed regularly but I have smoked quite a bit over the last year and a half.
It was a Friday evening and my way back from college my friend James asked me if I'd like to go back to a mate's house and have a bit to smoke. I had smoked a spliff of really strong stuff about 2 nights ago with another friend and we got so stoned that we felt that we should go on because we had to go and see a play for our theatre studies exam at college, so we ended up leaving half of the spliff which I then took with me on Friday to smoke.
We got to the house at about 8 o clock and there were four of us, there was one girl (this holds significance later). James and his friend were already stoned so I decided to skin up a joint out of the half spliff I had and the stuff James had. We went outside to smoke it because Jamesís friend said we couldnít smoke in his parentís house. James and Kate didnít want any so I just shared the joint with his friend who was already pretty stoned so didnít have much. Almost finished it and I could tell that it was strong and I was far-gone already. I felt a bit nervous as I usually do at first and just laughed it off insanely for quite a while. It started to rain and so we decided to go inside and watch TV
This is the point when everything changed! I was sitting there on the sofa when something that can only be described as a sudden realisation dawned on me. I wasnít just some teenage boy, I was a being, I was a soul. I suddenly realised to the fullest extent that I thought impossible that I exist as a soul in space an time. Then the thought came that I felt that I could tap into any time of my life and feel the way I felt as a person at that time. My thoughts then went in the direction of being a baby. Now this was the weirdest and scariest sensation that I think Iíve ever had. It was as if my perception of the world had suddenly shifted to how it was 17 years ago and the scary thing was that I remember feeling like exactly like that! I had been reminded of this sensation and reminded of my existence. It now became clear to me why babies acted the way babies act and how they see the world around them.
With all these thoughts speeding around my brain I was also thinking back to the time when I had tripped out like this but in different ways before and it was really really bad news that it was happening again. Also the fact that I usually smoke with a different circle of friends that knew that I can sometimes react like this and the people I were with now had no idea. As my trip worsened and the harsh reality of my existence dawned on me even more so by every passing moment that it was becoming overwhelming to me I decided to tell James to come with me. I walked out the room speedily I just knew I had to calm down and go somewhere quiet. I went to sit upstairs in his friend's room. I sat on his bed. Everywhere I looked and everything I looked at reminded me of life and that I was in it, maybe even trapped in this mundane reality and there was nothing else except life.
The other two friends soon decided to come upstairs to investigate what was wrong with me. It was now that something that has never happened before happened. I was sitting there on the bed and I noticed a noise that kind of sounded like a jet flying through the air. The noise started of reasonably high pitched then it became louder and louder and got lower pitched too. I think I felt a falling sensation with in me as this noise sounded. This really freaked me out because I was obviously hallucinating sounds now. After this really strange sound I thought about life again deeper than ever the same dawning reality feeling happened and I began to realise that there was some meaning to all of this and to life.
Now I have thought about the meaning to life before when I was stoned and there was this one time that I had come to the idea that the male species meaning to life was the female species and vice versa and how much one or the other attracts each other on both an physical and personality level defines how much points in meaning that person holds to your meaning of life. It was this night that I thought about the meaning to life more intensely than ever before. What seemed to be a universal, Time, space whatever, type of truth came to me. My soul had one purpose and it was to follow and to try to be with one very particular soul. And this was my point to life fulfil this mission and I had been on this journey not since the beginning of my life 17 years ago but the beginning of time or my existence. It had become completely clear to me that the girl that had just entered the room (Jamesís, Friendís girlfriend) was that soul.
Now I didnít even find her very attractive and I never really speak to her at college. But I became aware of the very obvious fact that I loved her and that she was the one that was my point and that my life as a human was a short gasp of air, a quick chance for me to fulfil my mission. I was also extremely scared of this concept. And I convinced myself that maybe it was just natural to be scared at first. This thought was also frightening because if it was true what should I do??
The night went on and I got James to phone my dad to come and pick me up, I really didnít feel I could find my way home and with this realisation of life I felt very paranoid of death. I didnít want this gasp of life to end. I couldnít really remember where I was I was not in touch with reality at all for the rest of that night and nothing looked familiar any more. I just didnít want to think too much about how alien everything seemed, in fact I didnít want to think too much about anything anymore.
I have explained everything to the best I can, but I also realise that communication/language can only do so much to make others understand and so I will leave it at thatÖ
One more thing I do believe I was right about we have this gasp of life. DO SOMETHING WITH IT!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


This is an example app that demonstrates some nohm features.
Warning: This app is not a real app and not secure. Do
NOT enter real data.
You can create, update and remove users as much as you want. All connected browsers will instantly see all updates.
You can test the login method by entering the name and original password in the second form.
An interval is running on the server that checks the number of users every 5 seconds. If there are more than 5, the
least recently updated are deleted so that only 5 remain.
You can also get get the user list sorted (server-side) by clicking on some of the table head columns.
| ID (uuid) | Name | Password (hashed) | Created at | Updated at ▼ | Edit | Remove |
|---|
These events are redis pubsub, so even if you have multiple instances of the node.js app using nohm, they all get the same
events.
You can also open another tab or window of this page, do some things there and see the same events end up here.


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| Opcode/Instruction | Op/En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
| EAX = 02H ENCLV[ESETCONTEXT] | IR | V/V | EAX[5] | This leaf function sets the ENCLAVECONTEXT field in SECS. |
| Op/En | EAX | RCX | RDX |
| IR | ESETCONTEXT (In) | Address of the destination EPC page (In, EA) | Context Value (In, EA) |
The ESETCONTEXT leaf overwrites the ENCLAVECONTEXT field in the SECS. ECREATE and ELD of an SECS set the ENCLAVECONTEXT field in the SECS to the address of the SECS (for access later in ERDINFO). The ESETCONTEXT instruction allows a VMM to overwrite the default context value if necessary, for example, if the VMM is emulating ECREATE or ELD on behalf of the guest.
The content of RCX is an effective address of the SECS page to be updated, RDX contains the address pointing to the value to be stored in the SECS. The DS segment is used to create linear address. Segment override is not supported.
The instruction fails if:
| EPCPAGE | CONTEXT |
| Read access permitted by Enclave | Read/Write access permitted by Non Enclave |
The instruction faults if any of the following:
| A memory operand effective address is outside the DS segment limit (32b mode). | A memory operand is not properly aligned. |
| DS segment is unusable (32b mode). | A page fault occurs in accessing memory operands. |
| A memory address is in a non-canonical form (64b mode). |
| Leaf | Parameter | Base Concurrency Restrictions | ||
|---|---|---|---|---|
| Access | On Conflict | SGX_CONFLICT VM Exit Qualification | ||
| ESETCONTEXT | SECS [DS:RCX] | Shared | SGX_EPC_PAGE_ CONFLICT |
| Leaf | Parameter | Additional Concurrency Restrictions | |||||
|---|---|---|---|---|---|---|---|
| vs. EACCEPT, EACCEPTCOPY, EMODPE, EMODPR, EMODT | vs. EADD, EEXTEND, EINIT | vs. ETRACK, ETRACKC | |||||
| Access | On Conflict | Access | On Conflict | Access | On Conflict | ||
| ESETCONTEXT | SECS [DS:RCX] | Concurrent | Concurrent | Concurrent |
| Name | Type | Size (bits) | Description |
|---|---|---|---|
| TMP_SECS | Physical Address | 64 | Physical address of the SECS of the page being modified. |
| TMP_CONTEXT | CONTEXT | 64 | Data Value of CONTEXT. |
| Error | Value | Description |
|---|---|---|
| No Error | 0 | ESETCONTEXT Successful. |
| SGX_EPC_PAGE_CONFLICT | Failure due to concurrent operation of another SGX instruction. |
(* check alignment of the EPCPAGE (RCX) *)
IF (DS:RCX is not 4KByte Aligned) THEN
#GP(0); FI;
(* check that EPCPAGE (DS:RCX) is the address of an EPC page *)
IF (DS:RCX does not resolve within an EPC)THEN
#PF(DS:RCX, PFEC.SGX); FI;
(* check alignment of the CONTEXT field (RDX) *)
IF (DS:RDX is not 8Byte Aligned) THEN
#GP(0); FI;
(* Load CONTEXT into local variable *)
TMP_CONTEXT ← DS:RDX
(* Check the EPC page for concurrency *)
IF (EPC page is being modified) THEN
RFLAGS.ZF ← 1;
RFLAGS.CF ← 0;
RAX ← SGX_EPC_PAGE_CONFLICT;
goto DONE;
FI;
(* check page validity *)
IF (EPCM(DS:RCX).VALID = 0) THEN
#PF(DS:RCX, PFEC.SGX);
FI;
(* check EPC page is an SECS page *)
IF (EPCM(DS:RCX).PT is not PT_SECS) THEN
#PF(DS:RCX, PFEC.SGX);
FI;
(* load the context value into SECS(DS:RCX).ENCLAVECONTEXT *)
SECS(DS:RCX).ENCLAVECONTEXT ← TMP_CONTEXT;
RAX←0;
RFLAGS.ZF ← 0;
DONE:
(* clear flags *)
RFLAGS.CF,PF,AF,OF,SF ← 0;
ZF is set if ESETCONTEXT fails due to concurrent operation with another SGX instruction; otherwise cleared.
CF, PF, AF, OF and SF are cleared.
| #GP(0) | If a memory operand effective address is outside the DS segment limit. |
| If DS segment is unusable. | |
| If a memory operand is not properly aligned. | |
| #PF(error | code) If a page fault occurs in accessing memory operands. |
| #GP(0) | If a memory address is in a non-canonical form. |
| If a memory operand is not properly aligned. | |
| #PF(error | code) If a page fault occurs in accessing memory operands. |


Used by packaged apps
to specify URL patterns the app wants to intercept and handle. An app can
define multiple URL handlers under this manifest entry, each having an identifier,
a URL pattern, and a title.
Here's an example of how to specify url_handlers
:
"url_handlers": { "view_foo_presentation": { "matches": [ "https://www.foo.com/presentation/view/*" ], "title": "View Foo presentation" }, "view_bar_presentation": { "matches": [ "https://www.bar.com/view/slideshow/*" ], "title": "View bar presentation" }, "edit_spreadsheet": { "matches": [ "https://www.foo.com/spreadsheet/edit/*", "https://www.bar.com/spreadsheet/edit/*" ], "title": "Edit spreadsheet" } }
Apps can only register to handle URL patterns within domains that they own, that is, can prove ownership of as determined by the Chrome Web Store. Apps that violate this requirement and attempt to register for handling external URLs will be rejected by the Chrome Web Store on upload.
This automatically means that at least a complete domain should always be
specified for all the patterns under matches
(otherwise ownership
cannot be verified).
Upon successful registration and installation, an app will be launched for all matching navigations inside browser tabs as well as other apps. The app will receive a new kind of the app.runtime.onLaunched event, with the launchData object containing the matched handler's identifier (such as "view_foo_presentation" above), the URL being navigated to, and the referrer's URL.
The title
field is reserved for future use in all relevant UI elements.
It should describe the action that the app performs when launched with this type
of URL handler.


A comprehensive and easy to use R implementation of confirmatory phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer (2012) <doi:10.1111/j.1558-5646.2012.01790.x>.
| Version: | 1.0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | ape (≥ 4.1), dplyr (≥ 0.7.1), ggm (≥ 2.3), ggplot2 (≥ 3.0.0), ggraph (≥ 1.0.0), igraph (≥ 1.0.1), MuMIn (≥ 1.15.6), parallel, pbapply (≥ 1.3-2), phylolm (≥ 2.5), purrr (≥ 0.2.3), tibble (≥ 1.3.3), tidyr (≥ 0.6.2) |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-07-08 |
| Author: | Wouter van der Bijl [aut, cre] |
| Maintainer: | Wouter van der Bijl <wouter.van.der.bijl at zoologi.su.se> |
| BugReports: | https://github.com/Ax3man/phylopath/issues |
| License: | GPL-3 |
| URL: | http://Ax3man.github.io/phylopath/ |
| NeedsCompilation: | no |
| Citation: | phylopath citation info |
| Materials: | NEWS |
| CRAN checks: | phylopath results |
| Reference manual: | phylopath.pdf |
| Vignettes: |
binary_models phylopath |
| Package source: | phylopath_1.0.1.tar.gz |
| Windows binaries: | r-devel: phylopath_1.0.1.zip, r-release: phylopath_1.0.1.zip, r-oldrel: phylopath_1.0.1.zip |
| OS X binaries: | r-release: phylopath_1.0.1.tgz, r-oldrel: phylopath_1.0.1.tgz |
| Old sources: | phylopath archive |
Please use the canonical form https://CRAN.R-project.org/package=phylopath to link to this page.


--- title: ESLint - Pluggable JavaScript linter layout: default permalink: /index.html homepage: true ---
ESLint is an open source project originally created by Nicholas C. Zakas in June 2013. Its goal is to provide a pluggable linting utility for JavaScript.
Learn more about ESLint and why it came about and the general philosophy behind it.
 This is the complete list.
ESLint is written to be used primarily on the command line. Learn about its usage here.
Love ESLint and want to help make it even awesomer? We've got all the details to get you started.
The following companies, organizations, and individuals support ESLint's ongoing maintenance and development.
{% assign tiers = "gold,silver,bronze" | split: "," %} {% for tier in tiers %} {% if site.data.sponsors[tier].size > 0 %}


Package io.fluentlenium.core.action
Class WindowAction
java.lang.Object
io.fluentlenium.core.action.WindowAction
Execute actions on active window.
-
Constructor Summary
ConstructorDescriptionWindowAction
(FluentControl control, ComponentInstantiator instantiator, org.openqa.selenium.WebDriver driver) Creates a new window action. -
Method Summary
Modifier and TypeMethodDescriptionvoid
clickAndCloseCurrent
(FluentWebElement button) Clicks button, which closes current window and switches to last window (in set returned byWebDriver.getWindowHandles()
).clickAndOpenNew
(FluentWebElement button) Clicks button, which opens new window and switches to newly opened window.void
close()
Close the current window.FullScreen the current window.org.openqa.selenium.Point
Gets the current window position.org.openqa.selenium.Dimension
getSize()
Gets the current window size.org.openqa.selenium.WebDriver.Window
Gets the current window object.maximize()
Maximize the current window.Opens new window.setPosition
(org.openqa.selenium.Point position) Sets the current window position.setSize
(org.openqa.selenium.Dimension size) Sets the current window size.switchTo()
Create a switch target locator.Switches to particular window by handle.Switches to lastly opened window.switchToLast
(String nameOrHandleToExclude) Switches to lastly opened window excluding the one provided as a parameter.title()
Gets the page title.
-
Constructor Details
-
WindowAction
public WindowAction(FluentControl control, ComponentInstantiator instantiator, org.openqa.selenium.WebDriver driver) Creates a new window action.- Parameters:
control
- control interfaceinstantiator
- component instantiatordriver
- selenium driver
-
-
Method Details
-
title
Gets the page title.- Returns:
- page title text
-
maximize
Maximize the current window.- Returns:
- the WindowAction object itself
-
fullscreen
FullScreen the current window.- Returns:
- the WindowAction object itself
-
setSize
Sets the current window size.- Parameters:
size
- size of the window- Returns:
- the WindowAction object itself
-
getSize
public org.openqa.selenium.Dimension getSize()Gets the current window size.- Returns:
- the current window size
-
setPosition
Sets the current window position.- Parameters:
position
- position to set- Returns:
- the WindowAction object itself
-
getPosition
public org.openqa.selenium.Point getPosition()Gets the current window position.- Returns:
- the WindowAction object itself
-
clickAndOpenNew
Clicks button, which opens new window and switches to newly opened window.This method doesn't force opening window in new window, we assume the code under test will open new window.
- Parameters:
button
- button to be clicked- Returns:
- handle of old (parent) window
-
openNewAndSwitch
Opens new window.- Returns:
- handle of old (parent) window
-
clickAndCloseCurrent
Clicks button, which closes current window and switches to last window (in set returned byWebDriver.getWindowHandles()
).If the last window is not the target window, use
switchTo(String)
to focus on desired window- Parameters:
button
- button to be clicked
-
close
public void close()Close the current window. -
switchTo
Create a switch target locator.- Returns:
- an object to perform switch on various target.
-
switchToLast
Switches to lastly opened window.- Returns:
- the WindowAction object itself
-
switchToLast
Switches to lastly opened window excluding the one provided as a parameter.- Parameters:
nameOrHandleToExclude
- if list size is greater than one it will be removed- Returns:
- the WindowAction object itself
-
switchTo
Switches to particular window by handle.- Parameters:
nameOrHandle
- window name or handle- Returns:
- the WindowAction object itself
-
getWindow
public org.openqa.selenium.WebDriver.Window getWindow()Gets the current window object.- Returns:
- the WebDriver.Window object
-


Record a command for replay should the user request a :replay
Tries to create a JLineReader, falling back to SimpleReader: unless settings or properties are such that it should start with SimpleReader.
Close the interpreter and set the var to null.
Run one command submitted by the user.
Run one command submitted by the user. Two values are returned: (1) whether to keep running, (2) the line to record for replay, if any.
Available commands
Create a new interpreter.
print a friendly help message
Show the history
interpret all lines from a specified file
Interpret expressions starting with the first line.
Interpret expressions starting with the first line. Read lines until a complete compilation unit is available or until a syntax error has been seen. If a full unit is read, go ahead and interpret it. Return the full string to be recorded for replay, if any.
The main read-eval-print loop for the repl.
The main read-eval-print loop for the repl. It calls command() for each line of input, and stops when command() returns false.
The context class loader at the time this object was created
The context class loader at the time this object was created
Power user commands
Print a welcome message
process command-line arguments and do as they request
Prompt to print when awaiting input
create a new interpreter and replay all commands so far
A reverse list of commands to replay if the user requests a :replay
A list of commands to replay if the user requests a :replay
Search the history
fork a shell and run a command
Standard commands *
(Since version 2.9.0) Use intp
instead.
(Since version 2.9.0) Use intp
instead.
(Since version 2.9.0) Use process
instead
(Since version 2.9.0) Use process
instead
The Scala interactive shell. It provides a read-eval-print loop around the Interpreter class. After instantiation, clients should call the main() method.
If no in0 is specified, then input will come from the console, and the class will attempt to provide input editing feature such as input history.
1.2


Data for discussing the probability of improving one's economic situation across 741 Metropolitan Statistical Areas in the US.
mobility
An object of class spec_tbl_df
(inherits from tbl_df
, tbl
, data.frame
) with 741 rows and 43 columns.
This data set was based on the paper "Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States" (Raj Chetty, Nathaniel Hendren, Patrick Kline, Emmanuel Saez, QJE 2014), and its replication files. Both the paper and the data sets are available from https://opportunityinsights.org.
The variables are:
| Variable | Description |
| Mobility | The probability that a child born in 1980–1982 into the lowest quintile (20%) of household income will be in the top quintile at age 30. Individuals are assigned to the community they grew up in, not the one they were in as adults. |
| Population | in 2000. |
| Urban | Is the community primarily urban or rural? |
| Black | percentage of individuals who marked black (and nothing else) on census forms. |
| Racial Segregation | a measure of residential segregation by race. |
| Income Segregation | Similarly but for income. |
| Segregation of poverty | Specifically a measure of residential segregation for those in the bottom quarter of the national income distribution. |
| Segregation of affluence | Residential segregation for those in the top quarter. |
| Commute | Fraction of workers with a commute of less than 15 minutes. |
| Mean income | Average income per capita in 2000. |
| Gini | A measure of income inequality, which would be 0 if all incomes were perfectly equal, and tends towards 100 as all the income is concentrated among the richest individuals (see Wikipedia, s.v. "Gini coefficient"). |
| Share 1% | Share of the total income of a community going to its richest 1%. |
| Gini bottom 99% | Gini coefficient among the lower 99% of that community. |
| Fraction middle class | Fraction of parents whose income is between the national 25th and 75th percentiles. |
| Local tax rate | Fraction of all income going to local taxes. |
| Local government spending | per capita. |
| Progressivity | Measure of how much state income tax rates increase with income. |
| EITC | Measure of how much the state contributed to the Earned Income Tax Credit (a sort of negative income tax for very low-paid wage earners). |
| School expenditures | Average spending per pupil in public schools. |
| Student/teacher ratio | Number of students in public schools divided by number of teachers. |
| Test scores | Residuals from a linear regression of mean math and English test scores on household income per capita. |
| High school dropout rate | Residuals from a linear regression of the dropout rate on per-capita income. |
| Colleges per capita | |
| College tuition | in-state, for full-time students |
| College graduation rate | Again, residuals from a linear regression of the actual graduation rate on household income per capita. |
| Labor force participation | Fraction of adults in the workforce. |
| Manufacturing | Fraction of workers in manufacturing. |
| Chinese imports | Growth rate in imports from China per worker between 1990 and 2000. |
| Teenage labor | fraction of those age 14–16 who were in the labor force. |
| Migration in | Migration into the community from elsewhere, as a fraction of 2000 population. |
| Migration out | Ditto for migration into other communities. |
| Foreign | fraction of residents born outside the US. |
| Social capital | Index combining voter turnout, participation in the census, and participation in community organizations. |
| Religious | Share of the population claiming to belong to an organized religious body. |
| Violent crime | Arrests per person per year for violent crimes. |
| Single motherhood | Number of single female households with children divided by the total number of households with children. |
| Divorced | Fraction of adults who are divorced. |
| Married | Ditto. |
| Longitude | Geographic coordinate for the center of the community |
| ID | A numerical code, identifying the community. |
| Name | the name of principal city or town. |
| State | the state of the principal city or town of the community. |


My copy arrived on Friday as well . I wanted to skip straight to the 3d and particle chapters, pour a big cup of coffee, shove my chair into the worn holes in my floor and start coding… however, i had to pack it on the top of my bag and head out the door as i was going to be away from my computer for the weekend.
To deter myself from staring blankly at people talking while i thought about 3d in flash, i decided to read from the beginning and have a nice refresher during my travels – and i’m glad i did.
Making Things Move is written in a manner that is not only understandable and welcoming, but provides formulas that are well defined – explaining both the concepts of why they work and how they apply to Flash.
Now, after accepting i wasn’t going to talk to anyone on the train home, I read a little into the 3d chapter and am excited to be back and have it open on my desk.
To sum it up… go pick up this book.
To draw it out… go pick up this book now. The formula summary for each chapter and the Tips and Tricks Section is enough to make this an essential reference book for Flash Animation, but the explanations of the concepts behind them in each chapter make this an essential book to have in my library.


9
1 The names of all the people of Israel were listed in the scroll named "The Record of the Kings of Israel."
Many of the people of Judah were captured and forced to go to Babylon. That happened because of the sins they had committed.
2 The first people who returned to Judah many years later and lived in their own land and in their own cities and towns were some Israelite priests, other descendants of Levi, and men who worked in the temple.
3 Other people from the tribes of Judah, Benjamin, Ephraim, and Manasseh also returned to Judah and lived in Jerusalem.  Asaiah was the oldest son in his family.
6 Jeuel and others of his relatives in Zerah's clan.  All these were leaders of their clans.
10 Some of the priests who returned to Judah were:
Jedaiah, Jehoiarib, Jakin,
11 and Azariah son of Hilkiah.
  Shallum was their leader.
18 Those gatekeepers from the tribe of Levi stood at the King's Gate on the east side of the city:
19 Shallum son of Kore:
Kore son of Ebiasaph;
Ebiasaph son of Korah.
Shallum and his relatives were gatekeepers, and they were responsible to guard the gates of the temple of Yahweh, as their ancestors had done.
20 Previously Phinehas son of Eleazar, had supervised the gatekeepers, and Yahweh was with Phinehas.
21 Zechariah son of Meshelemiah was the gatekeeper at the entrance of the temple.
22 Altogether, there were 212 men who were chosen to guard the gates. Their names were written in the records of the clans in their villages. King David and the prophet Samuel appointed those men because those men were dependable..
23 The work of those gatekeepers and their descendants was to guard the gates of the temple of Yahweh. The temple was built to replace the sacred tent.
24 There were gatekeepers on each of the four sides of the temple, toward the east, west, north, and south.
25 Sometimes it was necessary for the relatives of the gatekeepers who lived in those villages to come and help them. Each time some of them came, they helped the gatekeepers for seven days.
26 There were four descendants of Levi who worked every day, and they supervised the gatekeepers. They also took care of the storerooms and other rooms in the temple of God.
27 They remained awake all during the night to guard the temple, and each morning they opened the gates.
28 Some of the gatekeepers took care of the articles that were in the temple. They also took care of the flour, wine, olive oil, incense, and spices that were used in the sacrifices.
29 Other gatekeepers were appointed to take care of the other things in the temple.
30 But some of the priests had the work of mixing the spices.
31 There was a descendant of Levi named Mattithiah, the oldest son of Shallum, who was a descendant of Korah. He was very dependable so they gave him the the work of baking the bread that was used in the offerings on the altar.
32 Some of the gatekeepers who were descended from Kohath prepared the new loaves of bread to display before God, the loaves that were placed on the table inside the temple every Sabbath day.
33 Some of the descendants of Levi were musicians who worked in the temple. The leaders of those families stayed in the rooms of the temple. They did not do any other work in the temple because they they were responsible to serve as musicians day and night.
34 Those are the names of the leaders of the clans descended from Levi. Their names were written in the records of the clans. They all lived in Jerusalem.
35 One of the descendants of Benjamin, Jeiel, lived in the city of Gibeon. He was the city leader. His wife's name was Maacah.
36 His oldest son was Abdon.
His other sons were Zur, Kish, Baal, Ner, Nadab,37 Gedor, Ahio, Zechariah, and Mikloth.
38 Mikloth was the father of Shimeam. Jeiel's family lived near their relatives in Jerusalem.
39 Ner was the father of Kish. Kish was the father of King Saul. Saul was the father of Jonathan, Malchishua, Abinadab, and Ishbaal.
40 Jonathan's son was Merib Baal. Merib Baal was the father of Micah.
41 Micah's sons were Pithon, Melech, Tahrea, and Ahaz.
42 Ahaz was the father of Jadah. Jadah was the father of Alemeth, Azmaveth, and Zimri.
Zimri was the father of Moza.43 Moza was the father of Binea.
The son of Binea was Rephaiah. The son of Rephaiah was Eleasah. The son of Eleasah was Azel.
44 Azel had six sons: Azrikam, Bokeru, Ishmael, Sheariah, Obadiah, and Hanan.


Every line in the cloth simulation is technically called a constraint and every point is a point mass (an object with no dimension, just location and mass). All the constraints do is control the distance between each point mass. If two points move too far apart, it will pull them closer. If two points are too close together, it will push them apart. The cloth is really then just a collection of constraints and point masses in a never ending struggle.
Click and drag to move points. Hold down any key to pin them.
Draw Lines Draw Points
What makes this simulation special is the speed at which everything is computed. Javascript (the language this is written in) is not exactly the most efficient language for this type of computation. This being said, much time was spent squeezing out every little detail that slows things down.
The most computationally expensive part is trying to satisfy the constraints. To do this requires the calculation of distance between two points. This is easy to do with a little math, but that often involves an expensive square root. This is something that cannot simply be thrown out either, so what do you do? You approximate it. There are lots of mathematical tools for approximating functions, in this case I chose the first couple terms of a taylor expansion.
"Boring!" you say.
No. Not boring. Beautiful...
Another pretty neat thing about this simulation is how all the constraints are satisfied. As I mentioned above, a constraint is basically a rule that controls the distance between two points. So for example if a point has moved too far away from its constrained counterpart, the constraint will suck it back in. What makes this a little trickier is the fact that we have several constraints attached to a single point. This means that this point is going to be constantly jerked around when the constraint satisfaction process begins to execute. In terms of visuals, the cloth would become really springy, jittery and all around unnatural looking.
As it turns out there is a really simple solution to this problem. Instead of satisfying all the constraints just once, you simply satisfy them several times before updating the screen. In the case of this cloth simulation all I needed to do was try satisfying the constraints twice. But for things like simple rope simulations it may be necessary to satisfy several times (maybe 4 or 5). The more times you satisfy, the more rigid the constraint becomes. This process is known as relaxation and is pretty darn cool.
If you're interested here are some links:


Group SAMEGxxxxx
| Name | Test Group Name | ||
| Description | This is a test description | ||
| Release Date | 1901-04-01 | ||
| Last Updated | 1901-04-01 | ||
| Submission Title | Test Title | ||
| Submission Identifier | TST-101 | ||
| Organization | |||
| Contact | |||
| Publications | |||
| Characteristic |
[{"foo":"bar"}]
|
||
| Samples in group |
3
|
||
| External references |
[{"name":"bar","acc":"1234","url":"http://www.google.com"},{"name":"foo","acc":"9876","url":"http://www.google.co.uk"}]
|
||
| Common Attributes |
|


Most of these features just work out of the box, while some may require basic configuration to get the best experience. This page summarizes the JavaScript features that VS Code ships with. Extensions from the VS Code Marketplace can augment or change most of these built-in features. For a more in-depth guide on how these features work and can be configured, see Working with JavaScript


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layout: post
title: Avon's Simply Pretty Transforming Liquid Eyeliner
tags:
- Avon
status: publish
type: post
published: true
meta:
_edit_last: '2'
_aioseop_keywords: Avon's Simply Pretty Transforming Liquid Eyeliner review, ingot
duraline dupe
_aioseop_title: Avon's Simply Pretty Transforming Liquid Eyeliner review
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Inglot's duraline had been resting on my shopping list for ages, I missed the online sale last year and has been waiting for it so long now :greedy me:, so when I saw this newly launched product in current catalogue I just got it.
Price: Rs. 219 for 3ml (This months launch offer Rs.149)
Claims: Have multiple colors at your fingertips. A magic liquid liner that transforms your favorite eyeshadow into a eyeliner so you can change your color like you change your mood
My experiments:
Dries up very quickly, 10 sec approximately. Almost smudge proof
Not waterproof, I just splashed some water and rubbed the lines
My attempt is not very clean, since I used the lousy buyincoins eye pallet, which is of no use believe me, its just meant for all sorts of experiments. I tried it with the Lakme Quad and it came out pretty sleek and clean. Dries up almost instantly and is smudge proof, but not exactly waterproof (It can survive water test unless you don't rub your eyes).
The felt tip is better than a brush applicator, but they should provide some alternative tips.
Is this an eyeliner alternative ?? nope definitely not, since its in such limited quantity, but yes you have all colors at your command just at the stroke of a brush.
I wont say its pretty cheap, beacuse if you calculate Inglot's duraline for 3ml that will turn out yet cheaper. And so Inglot duraline is still on my list and will do a comparison soon. Oh yeah you have a similar product from Faces cosmetics too.
So are you going to give this magic eyeliner a try ?


@* * Copyright 2019 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.wco.dec.RoleBasedParty @import config.AppConfig @import controllers.routes._ @import uk.gov.hmrc.play.views.html._ @import viewmodels.HtmlTable @( form: Form[_], roleBasedParties: Seq[RoleBasedParty], messageKeyPrefix: String, submitAction: Call, continueUrl: Call )(implicit r: Request[_], messages: Messages, appConfig: AppConfig) @main_template(title = messages(s"$messageKeyPrefix.title"), bodyClasses = None) { @helpers.form(action = submitAction) { @components.back_link() @components.error_summary(form.errors)
@messages("common.button.continue") } }


HOW TO BUILD AN ELECTRIC MOTOR
You'll need three magnets, some insulated wire, wire cutters, a D battery, two big paper clips, and some tape.
Cut the wire into three pieces: one about 18 inches and the other about 12 inches. Take off some of the insulation around the wires; about an inch of it. On the longest piece of wire, mark it with a marker to keep track of it.
Wrap the longest wire all around the battery, leaving two inches on the end. This curled wire is a coil.
Bend the paper clips so the smaller bend is the base and the larger one can loop. This will hold the coil.
Attach one short wire to each paper clip by wrapping the end of the wire around the base.
Note: Drag-and-Drop Tutorials are best experienced on a device as large as an iPad or larger. To fully experience tutorials, please perform them in real life according to the directions under parental supervision.


| new_quosures {rlang} | R Documentation |
This small S3 class provides methods for [
and c()
and ensures
the following invariants:
The list only contains quosures.
It is always named, possibly with a vector of empty strings.
new_quosures()
takes a list of quosures and adds the quosures
class and a vector of empty names if needed. as_quosures()
calls
as_quosure()
on all elements before creating the quosures
object.
new_quosures(x) as_quosures(x, env, named = FALSE) is_quosures(x)
x |
A list of quosures or objects to coerce to quosures. |
env |
The default environment for the new quosures. |
named |
Whether to name the list with |


If your garage door won’t open, the problem could be a
broken spring. Garage door springs are under an
incredible amount of tension, so it’s highly recommended
that you let the professionals replace a broken spring.
Spring Replacement Process
Replacing Both Springs
Garage doors are typically installed with 2
springs at once. If one of your garage
door’s springs happen to break, it is likely
that the other is coming to the end of its
life cycle as well. We will inspect your
garage door to determine whether a broken
spring is the problem. If so, our
technicians will recommend replacing both
springs.
Choosing the Correct Springs
Garage doors come in all styles, sizes, and
weights, and Boskom, Inc Garage Doors
technicians are trained to install the
spring that is best suited for your door,
given its size, weight etc. After installing
the new garage door springs, our technicians
will verify the right springs have been used
by performing a balance test.
Safety Matters to Us
Boskom, Inc Garage Doors understands the
importance of safety for you and your
family. After doing a balance test, our
technicians will provide a safety inspection
to ensure everything is working as it
should, FREE of charge.
We are dedicated to the highest quality professional
service and complete customer satisfaction. We take
pride in serving our customers and providing the best
possible service experience on each appointment we
schedule, and we maintain our reputation by being honest
and dependable.