Map
Maps are associative containers implemented as pairs each of which maps a key to a value. You can create a map by placing a series of comma-separated entries inside square brackets. Each entry is a key and a value separated by a colon:
// create a new map with 4 entries
var d = ["Mark":1, "Andrew":2, "Paul":3, "Ross":4];
// map has a count property
var n = d.count; // n is 4
// create an empty map
var map = [:];
Looking up values
You can access an element from a list by calling the subscript operator [] on it with the key of the element you want:
var names = ["Mark":1, "Andrew":2, "Paul":3, "Ross":4];
names["Mark"]; // 1
names["Andrew"]; // 2
Iterating elements
The subscript operator works well for finding values when you know the key you’re looking for, but sometimes you want to see everything that’s in the map. Since the Map class implements the iterator method (through the keys method), you can easily use it in a for loop:
var people = ["Mark":1, "Andrew":2, "Paul":3, "Ross":4];
for (var name in people.keys()) {
System.print("Current name is " + name);
}
Adding elements
An item can be added to a map by simply setting a key/value:
var people = ["Mark":1, "Andrew":2, "Paul":3, "Ross":4];
people["Kiara"] = 5; // people now contains the "Kiara" key with value 5
Removing elements
The remove method has been added to the map class as a conveniente way to remove keys:
var people = ["Mark":1, "Andrew":2, "Paul":3, "Ross":4];
people.remove("Paul");
people.remove("Ross");
return people.count; // 2 is returned in this case


My weight is 270 pounds. The drug was taken on an empty stomach. I took the DOC at around 9:00AM, soon after getting out of bed. My mood was ok, I was excited about trying the DOC. I had heard good things about it and had been wanting to try it for a long time.
I have got the timing of events as close as possible but could be off by as much as an hour or maybe more. Much of the trip report is written from memory. I am also not sure how many poppies I used. I am just trying to make the best guess possible for that.
The dosing was t+0:00 - 5mg DOC t+1:45 - 1 gram mushrooms t+6:30 - 2mg DOC+2 large poppies t+6:45 - 18mg 2c-c plugged t+10:00 - 6 large poppies. I have a physical addiction to poppies so it was necessary to use some during the trip to avoid withdrawal, although I did use a larger than normal dose 10 hours into the trip.
I ate the gram of mushrooms because it seemed like the trip was going to be weak. I was wrong. Had I known it was going to get so much stronger I would not have eaten the mushroom.
I am currently taking two prescription meds, bisoprolol+ hydrochlorothiazide for hypertension and fenofibrate for cholesterol. Neither is psychoactive.
t+0:00- I ingest 5mg of DOC.
t+0:30 - I start to feel it a little, there is a slight change in mental state and brightening of colors.
t+1:00 - It has become just a little more intense but still not much is happening. I am maybe at a +1.5. There are now some OEVs, light patterns cover the wall and ceiling. My mood is neutral, no euphoria.
t+1:30 - It does not seem to be getting any stronger. I am beginning to think that this is as strong as it will get.
t+1:45 - I do not think it will get any stronger so I eat a small amount of mushrooms, about 1 gram.
t+2:00 - In the last 15 minutes the intensity has increased drastically. I have quickly shot up to a +3 and still going up. My mood is dysphoric and I am feeling a lot of confusion and mental cloudiness. Visuals have become very strong and bright. Patterns are swirling and flowing over everything. Objects look extremely distorted and corners are warped. There is music playing in my head. It is ambient, somewhat similar to some Steve Roach music.
t+2:15 - Intensity continues to increase, the dysphoria and confusion has grown stronger. I am also feeling a lot of anxiety. I am wishing that I had not taken the DOC. I feel that my mind and sanity are being shredded apart in a very unpleasant way. I am feeling slight nausea but it is insignificant and less than most other psychedelics.
t+2:45 - It seems that I have reached the peak. I am not enjoying this, I am unable to think and I feel intense sadness and despair. I am viewing some memories in my head and recalling memories from very early childhood. I am being shown how some of my negative behaviors and personality traits developed. For the next couple of hours the trip's content stays about the same. The visuals are very impressive, just as good as 8-10mg of DOI. I am not focusing on the visuals though because there is so much going on in my mind.
t+5:00 - The effects are still going strong and my mood has improved some. I am now in more of a neutral mood. My thinking is a little clearer.  Faces look distorted in such a way that everyone looks like they have Down's Syndrome. I watched tv for a few minutes and sometimes extra parts grew on the faces, like extra sets of eyes and noses. The leaves of trees look like butterflies flapping their wings.
t+6:30 - Effects may be starting to slowly decrease. I am feeling slightly euphoric. Visuals have not decreased much if at all but my mind is clearer. I have a feeling of optimism. Also a slight headache. I decide to eat a couple of large poppies to get rid of the headache. I also eat another 2mg of DOC to keep the trip going a little longer.
t+6:45 - I decide to plug 18mg of 2c-c.
t+7:00 - The intensity has picked up some. Visuals have grown stronger and the character of the visuals is changed. Euphoria is increasing and I am beginning to feel the psychedelic clarity, similar to what I have felt with DOI. At times I just want to laugh.
t+7:10 - The clarity has increased and I am now also starting to feel what I think is the beginning of ego loss. I feel increasingly joyful. Visuals have picked up more. Everything is covered in colorful, quickly changing patterns. With eyes closed I can see golden palaces covered in jewels and what looks like hindu or buddhist gods or spirits.
t+7:20 - The 2c-c has peaked. There is a high level of clarity and feeling of understanding. I am having strange thoughts and feelings about who/what I am and my existence. I'm wondering if I really exist and having thoughts that my actions may have no consequences. I am still able to think logically and I know that those thoughts are drug induced. I am also starting to feel a lot of love. It feels like it is radiating from all directions. The headache is gone. The trip maintained this level for about 90 minutes before decreasing. During this time, I think a lot about the existence of myself and the universe. Typical psychedelic thoughts.
t+9:00 - The effects have started to fade slightly. Still feeling the clarity and love. The slight ego loss is coming to an end. Still feeling the euphoria and feeling very relaxed. I lie down in bed and listen to music for a while.
t+10:00 - I eat six more large poppies. Down to a low +3, still feeling some clarity and love but it is fading. The ego loss is gone.
t+11:00 - Effects have decreased further, now down to a weak+3/strong+2. The clarity has mostly faded away as has the feeling of love. I am happy and feeling very peaceful. The poppies are kicking in strong, it feels great. Visuals have decreased some, patterns still cover everything. With eyes closed I can see landscapes of forests & mountains. The colors are dark.
t+12:00 - Down to medium-strong +2. I am feeling very good. Lying in bed I feel a little like floating. Very relaxed and slightly sedated. I always find the opiate+psychedelic combos to feel very good. I wish it would last longer.
t+14:00 - Down to weak +2.  Still feeling very relaxed and peaceful, also a little tired.
t+16:00 - Down to a +1. Still quite a few visuals, some patterning on walls and light CEVs. I am relaxed, peaceful, and content. Still feeling the poppies quite strongly. I get something to eat and then lie down to go to sleep.
t+18:00 - I fall to sleep after lying in bed for about two hours.
t+27:00 - I wake up, feeling refreshed and with a nice afterglow. My mood is good and I feel content. There was maybe a little bit of a lingering effect when I woke up. It was barely noticeable and was gone within a few hours. There are no negative after effects.
From this experience, it seems that DOC is a good chemical. It is easy on the body and is a very intense psychedelic. It has no stimulant effects that I noticed. During the first peak it gave me some insight into how some of my negative personality traits developed.
After adding more DOC and some 2c-c there was a second peak. This one was much more fun and also gave a high level of psychedelic clarity. It also showed that DOC+2c-c is capable of producing ego loss which feels very similar to high dose mushroom trips.
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.


For exmaple: https://www.youtube.com/watch?v=70tXXAfs-ks&t=4m7s will take a screenshot of the video at 4 minutes and 7 seconds in.


What will your verse be?
Everyone has something to share. See how people are using
iPad in their unique ways to add to the world's story.
iPad in their unique ways to add to the world's story.
Copyright © 2014 Apple Inc. All rights reserved. Terms of Use Privacy Policy


Accessing your device camera is required to be able to experience AR, please enable your camera when asked.
Reload this site after allowing camera access, to view the content in AR.
Point the camera to this image to see the AR magic.


Text - Convert native unicode emoji to shortnames- 😃 😉 😍
Converted To -
Learn more about this topic at emojiOne siteText - Convert native unicode emoji directly to images- 😃 😉 😍
Converted To -
Learn more about this topic at emojiOne siteText - convert shortnames to images- :athletic_shoe: :runner: :v: :alien:
Converted To -
Learn more about this topic at emojiOne siteText - Convert native unicode emoji and shortnames directly to images- :scream_cat: 🍇 :ghost: 🌷
Converted To -
Learn more about this topic at emojiOne site


[gecode-users] Difference between using IntVal and IntVar in propagators?
Christian Schulte
cschulte at kth.se
Wed Sep 21 20:41:43 CEST 2011
Hi Kish,
It is similar to the discussion we had earlier: Gecode always chooses the
best propagator(s) for posting a constraint, so if there is a variant for
int then even posting with an assigned IntVar Gecode will choose that.
Again: posting constraints in Gecode is smart, don't worry!
Cheers
Christian
--
Christian Schulte, KTH, web.it.kth.se/~cschulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Kish Shen
Sent: Wednesday, September 21, 2011 8:18 PM
To: users at gecode.org
Subject: Re: [gecode-users] Difference between using IntVal and IntVar in
propagators?
On 21/09/2011 17:43, Kish Shen wrote:
> IntVar or IntVal. In general, is there a (significant) performance
I meant int, rather than IntVal, i.e. the variants accept an argument with
type int or IntVar.
Cheers,
Kish
--
This e-mail may contain confidential and privileged material for the sole
use of the intended recipient. Any review, use, distribution or disclosure
by others is strictly prohibited. If you are not the intended recipient (or
authorized to receive for the recipient), please contact the sender by reply
e-mail and delete all copies of this message.
Cisco Systems Limited (Company Number: 02558939), is registered in England
and Wales with its registered office at 1 Callaghan Square, Cardiff, South
Glamorgan CF10 5BT.
_______________________________________________
Gecode users mailing list
users at gecode.org
https://www.gecode.org/mailman/listinfo/gecode-users
More information about the users
mailing list


My up to date skills as, Junior Full Stack Developer.
Keep track of my coding knowledge and exepertise


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| src | 100% | 17/17 | 100% | 0/0 | 100% | 1/1 | 100% | 17/17 | |
| src/controllers | 30.95% | 13/42 | 5.56% | 1/18 | 11.11% | 1/9 | 27.5% | 11/40 | |
| src/controllers/app.creation | 50.48% | 157/311 | 59.34% | 108/182 | 41.27% | 26/63 | 51.89% | 151/291 | |
| src/controllers/app.invoke | 14.48% | 52/359 | 7.26% | 13/179 | 2.44% | 2/82 | 15.16% | 52/343 | |
| src/controllers/json.parser | 33.33% | 13/39 | 0% | 0/12 | 0% | 0/8 | 33.33% | 13/39 | |
| src/docker_sandbox | 12.88% | 21/163 | 9.38% | 6/64 | 0% | 0/58 | 13.73% | 21/153 | |
| src/models | 73.33% | 44/60 | 39.29% | 11/28 | 87.5% | 7/8 | 73.33% | 44/60 | |
| src/utils | 64.29% | 18/28 | 41.67% | 5/12 | 40% | 2/5 | 64.29% | 18/28 | |
| test | 100% | 9/9 | 100% | 0/0 | 100% | 0/0 | 100% | 9/9 |


"You find yourself in a dingy room. The fire place offers no comfort, and a decrepit chair looms as if occupied. The dim light does little to calm your anxiety as the shadows seem to cling to you.1"


|
{{ day.day }} –
{{ day.weekday_long }} {% if day.moon_day_no in f %} {{ day.moon_day_no }} – лунный день {% endif %} |
||
| {{ day.morning_hural_people }} | 10:00 – {{ day.morning_hural_str }} | {{ day.morning_hural_descr }} |
| {{ day.day_hural_people }} | 15:00 – {{ day.day_hural_str }} | {{ day.day_hural_descr }} |


MNP: R Package for Fitting the Multinomial Probit Model
Fits the Bayesian multinomial probit model via Markov chain
Monte Carlo. The multinomial probit model is often used to analyze
the discrete choices made by individuals recorded in survey data.
Examples where the multinomial probit model may be useful include the
analysis of product choice by consumers in market research and the
analysis of candidate or party choice by voters in electoral studies.
The MNP package can also fit the model with different choice sets for
each individual, and complete or partial individual choice orderings
of the available alternatives from the choice set. The estimation is
based on the efficient marginal data augmentation algorithm that is
developed by Imai and van Dyk (2005). “A Bayesian Analysis of the
Multinomial Probit Model Using the Data Augmentation,” Journal of
Econometrics, Vol. 124, No. 2 (February), pp. 311-334.
<doi:10.1016/j.jeconom.2004.02.002> Detailed examples are given in
Imai and van Dyk (2005). “MNP: R Package for Fitting the Multinomial
Probit Model.” Journal of Statistical Software, Vol. 14, No. 3 (May),
pp. 1-32. <doi:10.18637/jss.v014.i03>.
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=MNP
to link to this page.


Alerts are used to notify the result of an activity. Info alert is used to convey information and error alert shows failure. Specify the type attribute on alert element.
type
alert
The info and error types depict info and error alerts respectively.
info
error


Ballerina was built from the ground to make it it easier to design, describe and develop programs. Here’s how and why
By building around a visual programming model, Ballerina allows you to connect apps and services and create any program via a sequence diagram. It’s a unique approach that we believe will make all of us faster and more effective at designing integration logic.
Ballerina is an open-source project. We want you to use it, abuse it and show us how to improve it.


DDE Domain
The Distributed Discrete Event (DDE) domain incorporates a distributed
notion of time into a dataflow style communication semantic. Much of
the functionality of the DDE domain is consistent with the Process
Networks domain. In particular, this model of computation's mechanism
for dealing with blocking due to empty or full queues is functionally
identical to that of the PN domain.
The DDE domain's use of time serves as the point of divergence in the
respective designs of DDE and PN. Time progress is communicated between
actors by passing tokens that have time stamps associated with them. In
a network of DDE actors each actor has a local notion of time. To
facilitate this local notion of time, actors in a DDE model adhere to
the following constraints.
- Successive tokens emitted from any actor's output port
must have a time stamp that is greater than or equal
to that of previous tokens.
- An actor can consume a token on an input port (P1) only
if the other input ports of that actor have pending
tokens with time stamps greater than or equal to that
of P1.
- If an actor has two or more input ports with pending
time stamps that are identical, then a local input
port prioritization rule must be invoked to determine
the ordering of these simultaneous tokens.
The above rules facilitate a local notion of time and are consistent
with the conservative blocking mechanism of Chandy and Misra's
distributed discrete event system.
We are approaching the DDE model of computation as the intersection
between dataflow and discrete event semantics. This allows us to
study DDE semantics from two different perspectives. In particular,
we can benefit from denotational semantics that are based on metric
spaces (the Banach oriented DE approach) or posets (the Tarskian
oriented dataflow approach). Matthews offers a partial metric
topology which incorporates both of these mathematical tools.
The DDE domain is an experimental domain, the code has not
been reviewed, and the interfaces are likely to change.
- Misra, Jayadev, "Distributed Discrete Event Simulation,"
ACM Computing Surveys, vol. 18, no. 1, March
1986, pp 39-65.
- Fujimoto, Richard M., "Parallel Discrete Event Simulation,"
Communications of the ACM, vol. 33, no. 10, October
1990, pp 30-53.
- Matthews, S. G., "Partial Metric Topology," General
Topology and Applications, Proceedings of the 8th
Summer Conference, Queen's College (1992), Annals
of the New York Academy of Science, vol. 728, pp 183-197.


Image Search App
Made with
by
Bolaji Ayodeji
Beautiful, free photos.
Gifted by the world’s most generous community of photographers. 🎁


# Sister Loji's Modeling School for Wayward InfoSec Youth ## meditations on applying various infosec models ### and giving your best blue steel _16DEC2020, Mid-Winter's Night Con_ --- # Take aways 1. this talk focuses on four domains we can model (risk, threat, maturity, and (semi-)formal) 1. from a data-centered, control-centered position 1. with a focus on practical techniques 1. in a simple code style that could be used for a reasoning system 1. _(bonus 🌶 takeway)_ we need to stop being afraid of DSLs and models for our own thinking purposes - definitely former Lisper-thinking --- # _do you or someone you know suffer from the following:_ - inability to understand your infosec programs? - anxiety or concern about the state of your systems? - feels of despair or loss of control as to where your data ends up? > Sister Loji's Modeling School for Wayward InfoSec Youth is an absurdist-focused > school meant to help youth from all walks of life better model & understand their > infosec programs --- # outline 1. take aways 1. advert 1. intros 1. what is modeling? 1. why model? 1. what are we modeling? 1. practical techniques for the wayward youth 1. risk 1. threat 1. maturity 1. (semi-)formal 1. what do we get out of modeling? 1. Lifting vs Extraction 1. Application --- # `$ finger lojikil` ``` [lojikil.com] Stefan Edwards (lojikil) is not presently logged in. - Practice Lead at Trail of Bits - Twitter/Github/Lobste.rs: lojikil - Works in: Defense, FinTech, Blockchain, IoT, compilers, vCISO services, threat modeling - Previous: net, web, adversary sim, &c. - Infosec philosopher, programming language theorist, everyday agronomer, father. - As heard on Absolute AppSec (multiple) and Risky Business (No. 559). WARNING: DEAF WARNING: Noo Yawk ``` --- # Trail of Bits - large number of smart contract assessments (5-10 *per month*) - large number of bespoke blockchain assessments (~ 5 *per year*) - work in large code bases like Kubernetes, etcd, &c. - work in fundamental program analysis research for DARPA - work on tools like Manticore (symbex), Echidna (property testing), Slither (static analysis & absint) - surrounding areas: cryptography, infra, &c _publications: github.com/trailofbits/publications_ --- # background - this talk uses carML, a programming language I wrote - Yeti + StandardML + OCaml + F# + Scala + Scheme + Sadness - github.com/lojikil/carML - we will only use four notations: - `type`, which introduces sum types/variants/tagged unions/case classes - constructors for `type`, which introduce each of the variants/cases - `record`, which introduces product types/structs/classes - `def`, which defines a function - can compile these to C or Go as needed, right now - point: my exploration for what a framework would look like - need data ingestion - most of this code would be _produced_ by other tools --- # what is modeling? I like [Wikipedia's](https://en.wikipedia.org/wiki/Modeling_language) definition: > A modeling language is any artificial language that can be used to express information > or knowledge or systems in a structure that is defined by a consistent set of rules. > **The rules are used for interpretation of the meaning of components in the structure.** - basically, break down things in a consistent way - express information in a consistent fashion - to help us understand meaning --- # what is modeling? - we make models all the time - drawings - data flows - simple comments - this talk is meant to help _formalize_ those - take you from this: `NOTE: balance should be great than withdrawl before execution` - to this: ``` // @assignable balance // @requires balance >= 100 // @requires withdrawal <= balance // @ensures balance == \old(balance) - withdrawal ``` --- # why model? - let's look at that example - original: `NOTE: balance should be great than withdrawl before execution` 1. mispelt "withdrawal?" "greater than?" 1. what does "should be mean?" 1. what's the result of all of this? - new: 1. the system checks our spelling 1. we know that `balance` is modified 1. we know that balance must be greater than or equal to 100 1. we know that the withdrawal amount must be less than or equal to the balance 1. and we know the result is equal to the original balance less the withdrawal 1. all enforced by our modeling language - result: better design, more understanding ``` // original: // NOTE: balance should be great than withdrawl before execution // updated // @assignable balance // @requires balance >= 100 // @requires withdrawal <= balance // @ensures balance == \old(balance) - withdrawal ``` --- # why model? - there are infinite output types - process diagrams - simple box visualizations - user process diagrams - code extraction - assertions - work with your teams & orgs to best fit what you need to use - models, esp models as code, should be updated, manipulated, re-run with new constraints - stop thinking in terms of model car - start thinking in terms of simulation & modeling --- # why model? .left[![user-centric data flow](img/designbycontract.png)] .right[![a simple request diagram](img/dataflow0.png)] --- # why model? ![the Voatz arch would have been impossible to approach without some form of model](img/Arch-Draft-v9_public_attacker.png) --- # why model? - honestly? a secret: bang for buck, threat modeling often finds more bugs than risk modeling in terms of effort - folks reconsider designs, choices, and so on just by talking it out - in terms of density, 8-10 findings falling out from a 30-60 minute call isn't unusual - simplifies down the system under test - model our thoughts there ![that's my secret](img/thatsmysecret.png) --- # what are we modeling? ## four things we should model (in decreasing order) - risk: a measure of impact ([ala NIST's definition](https://csrc.nist.gov/glossary/term/risk)) - likelihood x impact = system severity - system severity x importance of data = organizantional severity - tied to things like reputation, financial loss, regulatory loss, &c - see NIST 800-30, 37, 39, ISO 27k1, &c. - threat: the potential for impact ([again via NIST](https://csrc.nist.gov/glossary/term/threat)) - what can an actor do with your system? - what controls are in place to stop that? - what data do they have access to? - maturity: the robustness of processes & controls - how robust are the tools and processes the team uses? - where are they located? - how documented are they? - see NIST CSF, PRISMA, &c. - (semi-)formal: mathematical/logical models of processes of a system's flow - way too many things for one talk - we'll focus on design by contract - often, we're missing all but the first (and sometimes the first) --- # what are we modeling? practical techniques for the wayward youth - **how** you model is just as important as **what** you model? - we need to kill off "dead" models eventually: - solely write-once Visio Diagrams (sorry Brian) - JML that is run once and never kept up to date - excel sheets that just capture risks/threats and have no basis in futher reality - we need to move towards "living" models - analyze them like data models - yes you should be looking at your data models more frequently - why are you all laughing? --- # what are we modeling? practical techniques for the wayward youth ### we neeed to move towards living models - [Hilel Wayne has done great work on modeling adversaries with TLA+](https://www.hillelwayne.com/post/adversaries/) - [Tamarin, a cryptographic proof system, allows users to model key compromise](https://tamarin-prover.github.io/manual/book/003_example.html) - [RedShiftZero has worked on automatic threat modeling in a continuous fashion](https://www.redshiftzero.com/continuous-threat-modeling/) - [PyTM](https://github.com/izar/pytm) is a threat modeling framework, which [I've use to wrestle with complex architectures like k8s](https://github.com/trailofbits/audit-kubernetes/blob/master/notes/stefan.edwards/tm/dataflow/tm.py) - In all of these cases: - define a model - wrestle with implications - refine our models through testing --- # what are we modeling? practical techniques for the wayward youth - can we do better? - I think Tamarin has the right idea - idealized crypto systems - concerned about usage & placement - model checks show misusage of keys/crypto systems - Apply this idea to larger infosec - in a DSL --- # what are we modeling? practical techniques for the wayward youth - obviously YMMV - need to model something lower level - need to model something in the same system that is non-idealized - use abstraction power - give people general primitives they can work with - build off of those - offer decent abstractions - trying a SWAG at one here - because why not? - I think about this often --- # what are we modeling? risk - let's look at risk - probably the thing the most of us look at - what do we have: - impact - likelihood - severity = impact x likelihood - source? - data? ``` type Data { # ... } type Component { # ... } record Risk { impact:int likelihood:int source:Component target:Component exposed: Data short-description:string description:string } ``` --- # what are we modeling? risk - for simple things, fine - we can easily define an API - graphing - `def graph-risk risks:array[Risk] => GraphViz = ...` - `def graph-systems risks:array[Risk] => GraphViz = ...` - reporting - `def risks->csv risks:array[Risk] => array[string] = ...` - `def risks->html risks:array[Risk] => HTML = ...` - searching/stacking/grouping - `def find-risk risks:array[Risk] ... => Risk = ...` - `def stack-risks-by-system risks:array[Risk] ... => ...` - but can we do better? - `impact` is manual, as is `likelihood` - disconnected from `Data` - what even *is* `impact`? reputation? money? what? --- # what are we modeling? risk - few different directions - `def calculate-impact reputation:int confidentiality:int integrity:int availability:int ... => int` - denser: ``` type Impact { Very-Low Low Medium High Very-High } def calculate-impact reputation:Impact ... => Impact ``` - but can we do **even better**? - Let's look at `Data` --- # what are we modeling? risk - what could we encode here? - is the data regulated? - is the data Confidential/Restricted? - is there a subscription restriction (e.g. TLP)? - encoding other information into `Data`, then offload - the ergonomics of our model matter - assumptions about what `impact` mean - ease of understanding & calculation ``` type Data { # ... PublicData ... ConfidentialData ... RestrictedData ... SPIIData ... } type Actor { # ... } def calculate-impact impacted-data:Data actor:Actor ... => Impact = { # ... } ``` --- # what are we modeling? risk ### an alternate direction - don't be afraid to enrich/contextualize data later - witness: ``` # an uncontextualized risk record SimpleRisk { impact:int likelihood:int source:Component target:Component exposed: Data short-description:string description:string } type ContextualizedRisk { SPIIRisk SimpleRisk Actor ConfidentialRisk SimpleRisk Actor # ... } ``` - choose what works best for your: 1. workflows 1. introspection 1. tinkering --- # what are we modeling? risk ### take aways, or, what in the actual fuck, loji? 1. there are multiple paths forward for creating expressive models of risk 1. we can make ergonomic choices about our data & enrich them deeply 1. experimenting with and finding simple encoding mechanisms for our InfoSec programs - we worked on `Data`, but `Component` level would work just as well --- # what are we modeling? threat - let's take a step down the commonality chart - we want to capture the _potential_ for impact to a system - in the section on risk, we defined: - `Data` - `Component` - `Impact` - what of those can we reuse to describe potential risk --- # what are we modeling? threat - most of what I do for these is talk - what does this component talk to? - what data does it store? - where does it store it? - how does it talk to other components? - who has access to it? - a large part of what we do is reverse [Architectural Decisions (ADs)](https://adr.github.io/) and find gaps - outputs? - new architectural decision records - new arcitecture diagrams - new new relationship flows - documenting component relationships - documenting gaps --- # what are we modeling? threat ``` record SimpleThreat { system-impact:Impact organization-impact:Impact discovery-likelihood:Likelihood exploitation-likelihood:Likelihood source:Component target:Component exposed:Data short-description:string description:string } ``` - all told, not that dissimilar from `Risk` - some lessons learnt on `Impact` - similar for `Likelihood` - some minor addendums such as "likelihood of discovery" - but fairly similar - again, fine for simple threats - source, sink what data --- # what are we modeling? threat - in threat models, we mostly organize by component - and often by control family - we also need to capture mitigations, remediations... - let's flip this: ``` type Mitigation { # ... } type Remediation { # ... } type Threat { MitigatedThreat Mitigation SimpleThreat RemediatedThreat Remediation SimpleThreat UnmanagedThreat SimpleThreat } ``` - we can normalize this of course - mo efficiency, mo space - but generally, captures the controls/mitigations/remediations we'd need - can graph/report/respond/further model out of here --- # what are we modeling? maturity - let's keep this ball rolling, maturity - maturity is a (qualitative) measure of processes - many, many different models here: - OWASP SAMM - bSIMM - PRISMA - ... - I'd like to focus on two maturity models: - Program Review for Information Security Assistance (PRISMA) - Hunt Maturity Model (HMM) - And design our own --- # what are we modeling? maturity - [PRISMA defines 5 maturity levels](https://csrc.nist.gov/Projects/Program-Review-for-Information-Security-Assistance/Security-Maturity-Levels) - [Hunt Maturity Model does as well](https://medium.com/@sqrrldata/the-cyber-hunting-maturity-model-6d506faa8ad5) - what we model for in maturity depends on where we sit in an org - me? I often need to model control, mitigation, remediation, &c. robustness - let's look at that ``` type Control { # ... } type Mitigation { # ... } type Remediation { # ... } ``` --- # what are we modeling? maturity - PRISMA and HMM have 5 "levels" of maturity - PRISMA: Policies, Procedures, Implementation, Test, Integration - HMM: Initial, Minimal, Procedural, Innovative, Leading - capture how mature aspects of an organization is - at ToB, we rate control families on maturity: - Strong, Satisfactory, Moderate, Weak, Missing, Not Applicable ``` type Maturity { # carML doesn't yet support named constructor parameters # but that be a nice additional here, or a `newtype` to # rename strings there # # additionally, there could be some variance here; Satisfactory # may be because the control isn't centrally located, or isn't # well tested; we might want to add those notions here. Avoid # using strings/ints/bools for things we can use the type system Strong Control Component string Satisfactory Control Component string Moderate Control Component string Weak Control Component string Missing Control Component string NotApplicable Control Component string } ``` - can do this for `Remediation` and `Mitigation` as well - can start to measure which components are weak, why, where, &c --- # an aside: maturity vs posture - most people run into this - maturity != posture - posture: a measure of how strong the app's defenses are - maturity: a measure of how well defined & robust those defenses are - a candidate recently said "maturity is posture over time" which I think is great - when you're modeling things, make sure you understand **what** you're modeling --- # what are we modeling? (semi-)formal/correctness - there are two directions we can go with this - originally: I was going to talk about how with this definition tower, you can move many things - great paper: [From definitional interpreters to symbolic executors](https://dl.acm.org/doi/10.1145/3358502.3361269) - but there's a further interesting thought here: - we have many primitives here - we can certainly query the state of the world for things, and spot bugs - for example, connections that shouldn't happen - let's explore both: - what would a definitional interpreter look like? - what would light-weight methods look like for this process? --- # what are we modeling? (semi-)formal/correctness - given types, match & execute on them - simulated table tops/war games - let's intro one other form, `match`: ``` def war-game risk:ContextualizedRisk component:Component controls:array[Controls] = { match risk with (ContextualizedRisk.SPIIRisk r actor) given (not (restrict-risk r controls)) => ... (ContextualizedRisk.ConfidentialRisk r actor) given ... end } ``` - we can simulate lateral movement - perfect if you can lift ATT&CK as well --- # what are we modeling? (semi-)formal/correctness - we can also add "symbolic" values for things that we don't know about, and discover light constraints ``` type Component { # ... SymbolicLB ... SymbolicSG ... SymbolicDAS ... # ... } ``` - during our execution phase, we can fill in values ``` match connection with # ... (Connection.LBConnection ...) given (component-map-has? Component.LoadBalancer ...) => ... (Connection.LBConnection ...) => (add-component! (Component.SymbolicLB ...) ...) end ``` - if we have an LB we know about, use it - if we don't, create an idealized LB, and start to define it --- # what are we modeling? (semi-)formal/correctness - constraint-based approach - design by contract ``` def add-data component:Component data:Data => Result[Data] = { # really, ideally here carML would already support @pre & @post, but # I haven't fixed the parser for those yet, so conditions & refinement types # aren't there yet when (every (is? data Data.SPIIData) (is? component Component.PublicNetworkEdge)) do { (return (Result.Err "cannot mix public and SPII data")) } # ... } ``` - formal models needn't be _super formal_, and semi-formal models are better than _no models_ - but it's easier to represent systems as state machines of applications - and then see the results --- # what do we get? ### or, wtaf have I been watching loji? - unified reporting - "thinking" language for your work - a place to explore the implications of changes of course, it's like Kris Micinski said: > _eventually, when you code this much in a specification language,_ > _your programming language just becomes the specification language_ - I think that's ok: work with what you need, extract to common languages - probably a 🌶 take there - in general, we need to wrestle with our models more, and be able to explore --- # an aside: lifting vs extraction - most of what we do is _lift_ existing info into our representation - add findings manually - add threats manually - parse IaC to define Components - the opposite is _extraction_ - I exact some information from the source systems - I write something in a specification language - I get the resulting language --- # outro - a quick attempt at coding up some models - building on models should no longer be the domain of data scientists & formal modellers - code more and don't be afraid to generate code --- # fin ### thanks! Questions?


| Raised tickets | {{raisedTickets}} |
| Tickets Opened/Assigned | {{ticketsOpened}} |
| Tickets inprogress | {{ticketsInprogress}} |
| Tickets Query | {{querytickets}} |
| Tickets Completed | {{ticketsCompleted}} |
| Tickets Closed | {{closedTickets}} |
| Tickets Cancelled | {{cancelTickets}} |
| Allocated tickets | {{GroupallocatedTickets}} |
| Tickets to be assigned to individual | {{GroupticketsOpened}} |
| Assigned tickets | {{GroupticketsAssigned}} |
| Tickets inprogress | {{GroupticketsInprogress}} |
| Tickets in Query | {{Groupquerytickets}} |
| Tickets Completed | {{GroupcompletedTickets}} |
| Tickets Closed | {{GroupclosedTickets}} |
| Tickets Cancelled | {{Groupcanceltickets}} |
| Assigned tickets | {{IndvassignedTickets}} |
| Tickets Inprogress | {{IndvticketsInprogress}} |
| Tickets in Query | {{Indvquerytickets}} |
| Tickets Completed | {{IndvcompletedTickets}} |
| Tickets Closed | {{IndvclosedTickets}} |
| Tickets Cancelled | {{IndvcancelTickets}} |


insert_drive_file
add
share
lens
lens
lens
lens
lens
lens
lens
lens
lens
lens
lens
New Pernting
Are you sure you want to make a new pernting?
Your current pernting will be lost.
Share your pernting
Copy to Clipboard
lens


Elizabeth Anne Moore Mueller
Democrat
Receptionist, Dr. Borman and Associates
Masters in Social Work, University of Denver Graduate School of Social Work, 2017 Masters in Public Health, Emory University Rollins School of Public Health, 2009 BA in Anthropology, Colorado College, 2006
80210
Donations to: Biden/Harris, John Hickenlooper, Hillary Clinton, and the Human Rights Campaign.
Volunteer for One Colorado
I have volunteered with One Colorado, the state LGBTQIA advocacy and lobby group, since 2014. I have primarily done phone banking and volunteer recruiting for One Colorado. I was also a co-leader for the Queer Equality Alliance at the Graduate School of Social Work at the University of Denver in 2016-17.
I want to help ensure the districts are fairly mapped and decided in a way that allows every voter to most equitably participate in the election process. I am a passionate voter myself and want to give back to my community in a way that I think is very important.
As a former athlete, I am very familiar with the value of teamwork to achieve a common goal and will actively work to promote consensus and agreement among commissioners. The goal of creating the most equitable districts possible motivates me to be fair and impartial.
Having three degrees from higher learning institutions, I am no stranger to analytical skills and applying logic and reason to a problem. Whether it was analyzing health trends in a biostatistics class or determining barriers to accessing healthcare for refugees in Denver, my graduate classes challenged me to think outside the box and find appropriate solutions to real-world problems.
female and gender non-conforming


Man detained for forcibly shaving wife’s head in Bogura
by bdnews24.comPolice have detained a man for forcibly shaving his wife’s head in Bogura’s Nandigram Upazila following an altercation over a broken jar of pickles.
The detention of ‘Morshedul’, a resident of Yusufpur village, was made early on Friday, said Shawkat Kabir, chief of Nandigram Police Station.
The woman’s mother also brought allegations of dowry against him in a case under the Women and Children Repression Prevention Act at Nandigram Police Station on Friday.
“A jar of pickles broke into pieces after falling from the victim’s hand on Thursday. She got involved in an altercation with her mother-in-law following the incident. On being told about the matter, Morshed beat her at night,” OC Shawkat said.
“At one point, Morshed shaved his wife’s head and locked her in a room. The woman informed her parents on Friday and they rescued her with the help of local residents.”
Action will be taken against the man after an investigation, OC Shawkat said.


From the classes chosen from the drop down in each image, the size of the image can be changes. Each class represents a different size. The dropdown cn be accessed by clicking the edit icon on hovering over each image. Each image can be deleted by clicking the bin icon.


An entry to the Data Visualization Challenge by Localytics. My first D3 project, the goal was to teach myself d3.js, particularly as it applies to dashboard-type exploration tools. For an explanation of the data represented here and the purpose of this exercise, see the contest's github repo. The code can be found here.
BootLoader
ANALYTICS EXPLORER
EVENT TYPE
Fund Project
CATEGORY
Environment
Technology
Fashion
Games
AGE GROUP
25-34
35-44
45-54
55+
MARITAL STATUS
Single
GENDER
Female
Undeclared
DEVICE
iOS
FILTER SETTINGS
Event Percentage of Total
Funding Amount
Funding Percentage of Total OR - Match any criteria
AND - Match all criteria City
State


Add New Playlist
Ben Hagag Playlist Project!
Show all Playlists
×
WARNING!
×
Add New Playlist!
Playlist Name:
Playlist URL Image:
×
Add songs To Playlist
Song Name:
Song URL:
Add another song
×
Edit Playlist!
Playlist Name:
Playlist URL Image:
×
Edit songs of Playlist
Add another song


|
ActionComponents
04.05.00
Customizable UI and time-saving tools for Android development with Xamarin and Visual Studio.
|
Simulates an iOS NSString
to ease the porting of UI code from iOS to Android. A NSString
can be implicitly converted to and from a standard C# String
.
More...
Public Member Functions | |
| NSString () | |
| Initializes a new instance of the T:Foundation.NSString class. More... | |
| NSString (String text) | |
| Initializes a new instance of the T:Foundation.NSString class. More... | |
| void | DrawString (CGRect rect, UIFont font, UILineBreakMode mode, UITextAlignment alignment) |
Draws the string into the canvas from the current context of the UIGraphics class using the given properties. More... | |
| void | DrawString (CGRect rect, UIFont font, UILineBreakMode mode, UITextAlignment alignment, TextBlockAlignment verticalAlignment) |
Draws the string into the canvas from the current context of the UIGraphics class using the given properties. More... | |
| void | DrawString (CGRect rect, UIStringAttributes attributes) |
| Draws the string into the current graphics context inside of the given rect with the given attributes. More... | |
| CGRect | GetBoundingRect (CGSize size, NSStringDrawingOptions options, UIStringAttributes attributes, CGPoint location) |
| Gets the bounding rect for the string. More... | |
Static Public Member Functions | |
| static implicit | operator String (NSString text) |
Converts the NSString to a String . More... | |
| static implicit | operator NSString (String text) |
Converts the String to a NSString . More... | |
Properties | |
| String | Text [get, set] |
| Gets or sets the text of the string. More... | |
Simulates an iOS NSString
to ease the porting of UI code from iOS to Android. A NSString
can be implicitly converted to and from a standard C# String
.
| Foundation.NSString.NSString | ( | ) |
Initializes a new instance of the T:Foundation.NSString class.
| Foundation.NSString.NSString | ( | String | text | ) |
Initializes a new instance of the T:Foundation.NSString class.
| text | Text. |
| void Foundation.NSString.DrawString | ( | CGRect | rect, |
| UIFont | font, | ||
| UILineBreakMode | mode, | ||
| UITextAlignment | alignment | ||
| ) |
Draws the string into the canvas from the current context of the UIGraphics
class using the given properties.
| rect | Rect. |
| font | Font. |
| mode | Mode. |
| alignment | Alignment. |
| void Foundation.NSString.DrawString | ( | CGRect | rect, |
| UIFont | font, | ||
| UILineBreakMode | mode, | ||
| UITextAlignment | alignment, | ||
| TextBlockAlignment | verticalAlignment | ||
| ) |
Draws the string into the canvas from the current context of the UIGraphics
class using the given properties.
| rect | Rect. |
| font | Font. |
| mode | Mode. |
| alignment | Alignment. |
| verticalAlignment | vertical alignment. |
| void Foundation.NSString.DrawString | ( | CGRect | rect, |
| UIStringAttributes | attributes | ||
| ) |
Draws the string into the current graphics context inside of the given rect with the given attributes.
| rect | Rect. |
| attributes | Attributes. |
| CGRect Foundation.NSString.GetBoundingRect | ( | CGSize | size, |
| NSStringDrawingOptions | options, | ||
| UIStringAttributes | attributes, | ||
| CGPoint | location | ||
| ) |
Gets the bounding rect for the string.
| size | Size. |
| options | Options. |
| attributes | Attributes. |
| location | Location. |
|
static |
|
static |
|
getset |
Gets or sets the text of the string.
The text.


Context Free Art
Gallery
Home
Gallery
Download
Documentation
Forums
See our book:
Community of Variation


{{ define "ratings" }}
| Location | Rating |
|---|---|
| Campaign | {{ .Champion.Rating.Campaign | DisplayGrade }} |
| Arena |
Offensive: Defensive: |
| Clan boss |
Without T6 mastery: With T6 mastery: |
| Ice Golem’s Peak | {{ .Champion.Rating.IceGuardian | DisplayGrade }} |
| Dragon’s Lair | {{ .Champion.Rating.Dragon | DisplayGrade }} |
| Spider’s Den | {{ .Champion.Rating.Spider | DisplayGrade }} |
| Fire Knight’s Castle | {{ .Champion.Rating.FireKnight | DisplayGrade }} |
| Minotaur’s Labyrinth | {{ .Champion.Rating.Minotaur | DisplayGrade }} |
| Force Keep | {{ .Champion.Rating.ForceDungeon | DisplayGrade }} |
| Magic Keep | {{ .Champion.Rating.MagicDungeon | DisplayGrade }} |
| Spirit Keep | {{ .Champion.Rating.SpiritDungeon | DisplayGrade }} |
| Void Keep | {{ .Champion.Rating.VoidDungeon | DisplayGrade }} |


My Carriers
Settings
Sign Out
Toggle navigation
3 Search Results
Bat
Company 'A'
Bat
Company 'B'
Bat
Company 'C'
Bat
Company 'D'
Bat
Company 'E'
Select a carrier in the sidebar to
view their users and drivers.


You need to enable JavaScript to run this app.
Title:
{{ faq.title }}
Question:
{{ faq.descr }}
Category:
{{category.name}}
Answer:
{{ faq.answer }}
State:
{{state}}
Author:
{{author.name}}
Save


20 mg 2C-C + 20 mg 2C-I
Taken in pill form hit hard in about 40 min. It was described 'I felt like I had taken 6 hits of acid'. I had take 2C-C before as much as 60 mg over a 6 hour time frame. It made me content to sit and stare at a wall. Had very little psychedelic effects. 2C-I was very speedy and reminded me of ecstasy a little was very speedy and I could not sit still long enough to enjoy the visualizations. The combination of the two was a very Acid like and extremely tranquil. The combination was nick named 'Halo'.
The main difference between Halo (2C-I + 2C-C) and acid is that time seems to move at a normal rate and normal thought and conversation were possible.
Over all every one I know that tried the combination described it as a 'great trip'. 2C-C seems to be a good mood enhancer, and makes a bad trip almost impossible.
The first dose always seems to hit very hard. After my body has adjusted to the chemicals a second dose not hit hard at all. It seems to blend in to increase the trip without the unconformable 'hit a brick wall' feeling I get when the first dose kicks in.
2C-C by itself seemed to make time move faster, or me react a lot slower. I discourage any kind of activity the requires fast reaction time.
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.


HAMLET A film review by Ed Arnold Copyright 1991 Ed Arnold
Before giving you a review of this film, I must tell you that this review is skewed. The day before I went to Hamlet, I watched HENRY V on video. Now that's quite an adaptation to the big screen!
As with any Shakespeare play, the key to any production are the performances. Face it, the actors are working with the best material ever conceived by a man. The only way to blow it is in the performance, I guess a director could blow it, but that would be hard, most directors know that the most they can do is bring visual depth to a product rich in human depth.
Well, it's sad to say, the performances is this film are definitely not up to snuff. Gibson stinks. He does better in the action scenes, but that's not the focus, and even in those scenes he lacks the strength of projection needed for Hamlet. He never is convincing, especially when he's considering suicide. Close's performance is not much better.  Even when she drinks the wine and dies, her death is overdone and overblown. Granted it's easy to take control of the screen when Gibson plays Hamlet so badly.
Now on a better note, Polonius (as played by Ian Holm) and the woman who plays Ophelia are wonderful! While I've read that others thought Ophelia was unconvincing in the first part of the film, I thought she played it right on. She was shy and overpowered by the personalities around her, she was bewildered by the conflicting messages and back-biting. I think her performance became apparently stronger over time because we saw more and more of her. All in all a performance worthy of a best supporting actress nomination!
It's too bad I saw this film after watching HENRY V. That was an *incredible* performance. I hope the actor who played "Harry" will do another film with Shakespeare!
Don't go see HAMLET, wait for the video and rent it some night when you have nothing else to do. Enjoy the supporting performances, but try to live with the leads.
If you want to see Shakespeare done right rent HENRY V or HAMLET as done by Olivier.
Ed Arnold<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


public interface EnhancementsIndexingParams extends FacetIndexingParams
Facet indexing parameters
for defining
category enhancements
. It must contain at least
one enhancement, otherwise nothing is "enhanced" about it. When there are
more than one, the order matters - see
getCategoryEnhancements()
.
EnhancementsDocumentBuilder
| Modifier and Type | Method and Description |
|---|---|
void
|
addCategoryEnhancements
(
CategoryEnhancement
... enhancements)
Add
CategoryEnhancement
s to the indexing parameters
|
List
<
CategoryEnhancement
>
|
getCategoryEnhancements
()
Get a list of the active category enhancements.
|
List
<
Class
extends
CategoryProperty
>>
|
getRetainableProperties
()
Get a list of
CategoryProperty
classes to be retained when
creating
CategoryParentsStream
.
|
drillDownTermText
,
getAllCategoryListParams
,
getCategoryListParams
,
getFacetDelimChar
,
getOrdinalPolicy
,
getPartitionSize
,
getPathPolicy
void addCategoryEnhancements( CategoryEnhancement ... enhancements)
CategoryEnhancement
s to the indexing parameters
enhancements
- enhancements to add
List < CategoryEnhancement > getCategoryEnhancements()
null
. The order of enhancements in the returned list
dictates the order in which the enhancements data appear in the category
tokens payload.
null
if
there are no enhancements.
List < Class extends CategoryProperty >> getRetainableProperties()
CategoryProperty
classes to be retained when
creating
CategoryParentsStream
.
CategoryProperty
classes to be retained when
creating
CategoryParentsStream
, or
null
if there
are no such properties.


“A team is not a group of people that work together. A team is a group of people that trust each other.” ~Simon Sinek
Ongoing activity:
This is an ongoing collection of activities and task currently open by our working groups. If you enjoy learning by doing and you want to help or collaborate in a particular task, you are very welcome. Contact directly the people and groups interested in the following list. They will be happy to welcome you and explain to you how you can contribute to the project. Inspire on!!
| # | Tasks | Assign to | Progression |
|---|---|---|---|
| 1 | Drawing up version V4 | Editorial Team |
|
| 2 | Dashboard Development | Design Team |
|
| 3 | Peeragogy Charter - Draft | Google Doc |
|
| 4 | New peeragogy.io theme for V4.0 | Google post |
|
| 5 | G+ Community Engagement |
|


---
title: About
heading: About Rogue Identity
subtitle: Your technology startup means the world to you, and you're looking for an OAuth/OIDC/IAM Integrations Consultant who will treat your project with the same care you would. I too have built my own SaaS startup and I know how challenging it can be to hire people who will give your project the same care and attention that you would yourself. Now I offer consulting services with a priority on getting your job done right, so you can continue to build your company without worry.
Whether you need a few hours to work through an idea or a few years of hands-on engineering effort, I and my highly-skilled team at Rogue Identity (www.rogueidentity.com) can make your ideas a reality. While I specialize in technology startups, I’ve helped big companies with enterprise-wide deployments, small companies with tricky technical details and implementations, and everything in between. Please reach out at<EMAIL_ADDRESS>and tell me what struggles I could help you solve.
---


This is a dataset corresponding to the paper "Social Pressure and Voter Turnout: Evidence from a Large-Scale Field Experiment" by Gerber, Green, and Larimer (2008). See also the 'Details' section below. The aim of the study was to find out whether and to what extent people are motivated to vote by social pressure. To answer this question, the authors conducted a field experiment prior to the August 2006 primary election in Michigan. A total of 180,000 households were randomly assigned to either a control group or one of four treatment groups.
shaming
A tibble with 344,084 observations and 15 variables:
character variable with cluster designation, which ranges from 1 to 10,000. See the documentation for extensive discussion about the clustering procedure
0/1 integer variable indicating whether the respondent voted in the 2006 primary election
factor variable indicating which of the 5 treatments were employed in 2006, but before the primary election that year: 'Control', 'Civic Duty', 'Hawthorne', 'Self', or 'Neighbors'
character variable with values "Male" and "Female"
integer variable indicating the respondent's age in 2006
character variable indicating whether the respondent voted in the 2000 primary election
character variable indicating whether the respondent voted in the 2000 general election
character variable indicating whether the respondent voted in the 2002 primary election
character variable indicating whether the respondent voted in the 2002 general election
character variable indicating whether the respondent voted in the 2004 primary election
character variable indicating whether the respondent voted in the 2004 general election
integer variable indicating the respondent's household size
numeric variable indicating the percent of household members who voted in the 2004 primary election. This and hh_general_04 seem suspicious
numeric variable indicating the percent of household members who voted in the 2004 general election. Most be greater than zero since, in order to be included in the sample, a respondent must have voted in that election
integer variable indicating the number of neighbors. This is, presumably, most relevant if the respondent was in the "Neighbors" group. neighbors is, in that case, the number of names listed on the mailing. Large majority of values is 21, which is the maximum number of names which could be printed on the mailing
https://doi.org/10.1017/S000305540808009X
The control group consisted of approximately 100,000 households and was observed without further intervention.The treatment groups consisted of about 20,000 households each, and were sent one mailing 11 days prior to the primary election. The first treatment group, named “Civic Duty”, received a letter that only reminded them to "do their civic duty and vote". The second treatment group, named "Hawthorne", received the same message with an additional notice that they are being studied by researchers. The letter sent to the third group, named "Self", included the content in the Hawthorne letter, but added a notice that every household member would be notified of each others' voting behavior after the election (this information is public). The last group, "Neighbors", finally listed not only the household's voting records but also the voting records of those nearby. As in the "Self" group, everyone on the list would be notified of their voting behavior after the primary.
Table: Data summary
| Name | shaming |
| Number of rows | 344084 |
| Number of columns | 15 |
| _______________________ | |
| Column type frequency: | |
| character | 8 |
| factor | 1 |
| numeric | 6 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
| cluster | 0 | 1 | 1 | 5 | 0 | 10000 | 0 |
| sex | 0 | 1 | 4 | 6 | 0 | 2 | 0 |
| primary_00 | 0 | 1 | 2 | 3 | 0 | 2 | 0 |
| general_00 | 0 | 1 | 2 | 3 | 0 | 2 | 0 |
| primary_02 | 0 | 1 | 2 | 3 | 0 | 2 | 0 |
| general_02 | 0 | 1 | 2 | 3 | 0 | 2 | 0 |
| primary_04 | 0 | 1 | 2 | 3 | 0 | 2 | 0 |
| general_04 | 0 | 1 | 3 | 3 | 0 | 1 | 0 |
Variable type: factor
| skim_variable | n_missing | complete_rate | ordered | n_unique | top_counts |
| treatment | 0 | 1 | FALSE | 5 | Con: 191243, Civ: 38218, Sel: 38218, Haw: 38204 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
| primary_06 | 0 | 1 | 0.32 | 0.46 | 0.00 | 0.00 | 0.00 | 1.00 | 1 | ▇▁▁▁▃ |
| age | 0 | 1 | 49.79 | 14.45 | 20.00 | 41.00 | 50.00 | 59.00 | 106 | ▃▇▅▁▁ |
| hh_size | 0 | 1 | 2.18 | 0.79 | 1.00 | 2.00 | 2.00 | 2.00 | 8 | ▇▂▁▁▁ |
| hh_primary_04 | 0 | 1 | 0.31 | 0.18 | 0.00 | 0.19 | 0.29 | 0.43 | 1 | ▇▇▅▁▁ |
| hh_general_04 | 0 | 1 | 0.92 | 0.07 | 0.38 | 0.90 | 0.95 | 1.00 | 1 | ▁▁▁▂▇ |
| neighbors | 0 | 1 | 20.93 | 0.51 | 1.00 | 21.00 | 21.00 | 21.00 | 21 | ▁▁▁▁▇ |
David Kane


---
layout: post
esbma_id: 1434
date: 2001-10-23 12:00:00
keywords: cornsharp
title: Blog entry on 23 Oct 2001
---
I'm here at Microsoft PDC in Los Angeles. The more I see of .NET, the more I like it. Quite cool.
I saw Miguel de Icaza here this morning. He's still very focused on the implementation of Mono (their .NET framework clone), and it sounds like it's going well.
So Hailstorm is now called .NET My Services. Sorry Redmond, I don't like the name. The concept remains cool, although it has bigger trust issues than normal shrinkwrap software. I actually like the notion of having my calendar and contacts in a hosted location, accessible from anywhere. It's a feature. But if I don't trust that location, I don't get the feature. Hailstorm asks for more of my trust than Outlook does. I think I'm going to want to be sure that it delivers more coolness in exchange.


Represents the content of a directory as an interactive collapsible tree. Offers the possibility to assign a text (e.g., a 'Readme.txt') to each folder (represented as a clickable node), so that when the user hovers the pointer over a node, the corresponding text is displayed as a tooltip.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | collapsibleTree (≥ 0.1.6), data.tree (≥ 0.7.6) |
| Published: | 2018-10-07 |
| Author: | Louis Sirugue [aut, cre] |
| Maintainer: | Louis Sirugue <lsirugue at protonmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | directotree results |
| Reference manual: | directotree.pdf |
| Package source: | directotree_1.0.0.tar.gz |
| Windows binaries: | r-devel: directotree_1.0.0.zip, r-release: directotree_1.0.0.zip, r-oldrel: directotree_1.0.0.zip |
| OS X binaries: | r-release: directotree_1.0.0.tgz, r-oldrel: directotree_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=directotree to link to this page.


32 years old, passionate about engineering, development, math, algorithms and new technologies. Now I am living in Romania but in a constant move due to projects and passion for travel.
I am a senior software engineer, currently I am developing a solution on how to manipulate and store in cloud senzitive data coming from high precision sensors.
My technical backgroud revolves around Automotive industry, desktop applications and some back-end web.
I spent around 4.5 years in Iasi, Romania working for Continental as internal employee and around 7-8 months in Hildesheim, Germany working for Bosch as a contractor. For both companies I worked in HMI department.
I worked for Ness in Iasi, Romania as a back-end web developer for a ticket booking engine.
I developed all sorts of desktop applications in technologies like C++, Python, .NET, Android, QT with all sorts of frameworks.
If you need some guidance in engineering field or you're seeking for some help don't hesitate to write me.


for (int x=0; x<1000; x++)
for (int y=0; y<1000; y++)
matrix[x][y]=x*y;
for (int x=0; x<1000; x++)
for (int y=0; y<1000; y++)
matrix[y][x]=x*y;
public class Singleton {
// Private constructor. Prevents instantiation from other classes.
private Singleton() { }
/**
* Initializes singleton.
*
* SingletonHolder is loaded on the first execution of Singleton.getInstance()
* or the first access to SingletonHolder.INSTANCE, not before.
*/
private static class SingletonHolder {
private static final Singleton INSTANCE = new Singleton();
}
public static Singleton getInstance() {
return SingletonHolder.INSTANCE;
}
}
I wanted to create a monitoring system for my house that needed to respect my privacy.
My house intranet is not accessible from outside.
I want to verify situation from remote location.
Foscam 9831P: wireless HD camera
Motion: a software that "looks at" streams and saves images only when there is some motion
Cubox-i4pro: this is the brain of the whole system. With cron jobs it starts and stops motion (not to monitor when we are at home). When images are saved by motion they are immediately uploaded to cloud storage.
Because I live about at the center of the world:
if I have to travel it is better to live in Europe that on the left side of the world! :D
Because I always worked in a corporate environment loving linux and opensource and working as developer evangelist for you is a dream come true!
Eager to answer!


This is my second year-in-review post see my 2019 post. This year was much shittier than last year. That’s partly my fault and partly the fault of the pandemic, my bike getting stolen, etc. etc. So I think I spent most of this year in a “comfort zone” which was somewhat depressing and monotonous. There were some bright spots, though:
I started my new (old) job back at Kaggle which has been good My husband and I took a lovely vacation to Hawaii right before the pandemic hit I started cooking a lot more and haven’t gotten totally sick of it yet I began doing something like mentoring semi-regularly I’ve improved a lot at disconnecting from work I’ve managed to socialize occasionally through things like horror movie club, playing Among Us, etc. Keep Reading...
This post was first published on NVIDIA’s developer blog on Oct 26th 2020
Engineers and designers at Kaggle work hard behind the scenes to make it easy for our 5 million data scientist users to focus on learning and improving their deep learning models instead of ML ops like environment setup and resource provisioning.
Kaggle’s community comes to the platform to learn and apply their skills in machine learning competitions. Keep Reading...
Almost every musician I listen to carries influences of the progressive rock band King Crimson. For instance, my favorite musician Steven Wilson has put out entire albums that (to me) sounds like a King Crimson “project”. Including his debut solo album Grace for Drowning which featured several King Crimson members including Tony Levin.
Today, I realized not only does King Crimson’s sound echo prodigiously within the discographies of my favorite artists, they’ve also had a thing or two to say about good (and bad) product management over the decades! Keep Reading...


Tools to process cytometry data from Cytobank into easily usable form for analysis of populations, markers, and signaling using the 'CytobankAPI' package. Learn more about Cytobank at <https://www.cytobank.org>. For more information about types of cytometry data that can be analyzed, please see: Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E. D., Krutzik, P. O., Finck, R.,... Nolan, G. P. (2011) <doi:10.1126/science.1198704> and Adan, A., Alizada, G., Kiraz, Y., Baran, Y., Nalbant, A. (2017). <doi:10.3109/07388551.2015.1128876>.
| Version: | 2.0 |
| Imports: | CytobankAPI, shiny, xlsx, shinyFiles, pheatmap |
| Suggests: | httr, methods, curl, stats, jsonlite |
| Published: | 2018-06-27 |
| Author: | Allison Throm |
| Maintainer: | Allison Throm <throm at email.wustl.edu> |
| License: | Artistic-2.0 |
| NeedsCompilation: | no |
| CRAN checks: | CytobankAPIstats results |
| Reference manual: | CytobankAPIstats.pdf |
| Package source: | CytobankAPIstats_2.0.tar.gz |
| Windows binaries: | r-devel: CytobankAPIstats_2.0.zip, r-release: CytobankAPIstats_2.0.zip, r-oldrel: CytobankAPIstats_2.0.zip |
| OS X binaries: | r-release: CytobankAPIstats_2.0.tgz, r-oldrel: CytobankAPIstats_2.0.tgz |
| Old sources: | CytobankAPIstats archive |
Please use the canonical form https://CRAN.R-project.org/package=CytobankAPIstats to link to this page.


{% if invalid_version %}
The version number "{{ invalid_version }}" you choose is either invalid or lower than the current version of {{ game.name }}. Make sure that your version number follows the pattern "X.Y.Z".
The current version of {{ game.name }} is {{ game.current_version }}
Please declare a valid version in conf.lua
. For LÖVE 0.8.0 use:
function love.conf(t)
t.version = "0.8.0"
end
Or for LÖVE 0.9.0 use:
function love.conf(t)
t.version = "0.9.0"
end
For more information, check out the Config Files section on the LÖVE wiki
The uploaded LÖVE file is missing main.lua
and / or conf.lua
. You'll need to add these missing files before we can process your game.
For more information, check out the Getting Started and Config Files sections on the LÖVE wiki
StackMachine uses the love.filesystem
module which requires a valid indenity. Please declare a valid idenity in conf.lua
, such as:
function love.conf(t)
t.identity = "{{ slug }}"
end
For more information, check out the Config Files section on the LÖVE wiki


locale - get locale-specific information
locale [\fIoption\fP], locale [\fIoption\fP] -a, locale [\fIoption\fP] -m, locale [\fIoption\fP] \fIname\fP...
The locale command displays information about the current locale, or all locales, on standard output.
When invoked without arguments, locale displays the current locale settings for each locale category (see locale (5))based on the settings of the environment variables that control the locale (see locale (7)).
If either the -a or the -m option (or one of their long-format equivalents) is specified, the behavior is as follows:
-a, --all-localesDisplay a list of all available locales. The -v option causes the LC_IDENTIFICATION metadata about each locale to be included in the output.
-m, --charmapsDisplay the available charmaps (character set description files).
The locale command can also be provided with one or more arguments, which are the names of locale keywords (for example, date_fmt , ctype-class-names , yesexpr , or decimal_point ) or locale categories (for example, LC_CTYPEor LC_TIME ).For each argument, the following is displayed:
For a locale keyword, the value of that keyword to be displayed.
For a locale category, the values of all keywords in that category are displayed.
When arguments are supplied, the following options are meaningful:
-c, --category-nameFor a category name argument, write the name of the locale category on a separate line preceding the list of keyword values for that category.
For a keyword name argument, write the name of the locale category for this keyword on a separate line preceding the keyword value.
This option improves readability when multiple name arguments are specified. It can be combined with the -k option.
-k, --keyword-nameFor each keyword whose value is being displayed, include also the name of that keyword, so that the output has the format:
keyword="value"
The locale command also knows about the following options:
-v, --verboseDisplay additional information for some command-line option and argument combinations.
-?, --helpDisplay a summary of command-line options and arguments and exit.
--usageDisplay a short usage message and exit.
-V, --versionDisplay the program version and exit.
/usr/lib/locale/locale-archive Usual default locale archive location.
/usr/share/i18n/locales Usual default path for locale definition files.
$ locale LANG=en_US.UTF-8 LC_CTYPE="en_US.UTF-8" LC_NUMERIC="en_US.UTF-8" LC_TIME="en_US.UTF-8" LC_COLLATE="en_US.UTF-8" LC_MONETARY="en_US.UTF-8" LC_MESSAGES="en_US.UTF-8" LC_PAPER="en_US.UTF-8" LC_NAME="en_US.UTF-8" LC_ADDRESS="en_US.UTF-8" LC_TELEPHONE="en_US.UTF-8" LC_MEASUREMENT="en_US.UTF-8" LC_IDENTIFICATION="en_US.UTF-8" LC_ALL= $ locale date_fmt %a %b %e %H:%M:%S %Z %Y $ locale -k date_fmt date_fmt="%a %b %e %H:%M:%S %Z %Y" $ locale -ck date_fmt LC_TIME date_fmt="%a %b %e %H:%M:%S %Z %Y" $ locale LC_TELEPHONE +%c (%a) %l (%a) %l 11 1 UTF-8 $ locale -k LC_TELEPHONE tel_int_fmt="+%c (%a) %l" tel_dom_fmt="(%a) %l" int_select="11" int_prefix="1" telephone-codeset="UTF-8"
The following example compiles a custom locale from the ./wrk directory with the localedef (1)utility under the $HOME/.locale directory, then tests the result with the date (1)command, and then sets the environment variables LOCPATH and LANG in the shell profile file so that the custom locale will be used in the subsequent user sessions:
$ mkdir -p $HOME/.locale $ I18NPATH=./wrk/ localedef -f UTF-8 -i fi_SE $HOME/.locale/fi_SE.UTF-8 $ LOCPATH=$HOME/.locale LC_ALL=fi_SE.UTF-8 date $ echo "export LOCPATH=\$HOME/.locale" >> $HOME/.bashrc $ echo "export LANG=fi_SE.UTF-8" >> $HOME/.bashrc
localedef (1), charmap (5), locale (5), locale (7)
This page is part of release 3.74 of the Linux man-pages project. A description of the project, information about reporting bugs, and the latest version of this page, can be found at %http://www.kernel.org/doc/man-pages/.


Drone LTE (Part II)
27 Aug 2016
This part introduces a Cloud Control Station (CCS), sets up telemetry forwarding from the secondary companion computer, and tests via a simulated vehicle.
Cloud Control Station
MAVProxy running on an Ubuntu 16.04 droplet on Digital Ocean .
The CCS will be the final endpoint for the MAVLink telemetry messaging. Ideally, ICE/STUN/TURN (Voice-over-IP folks will recognize these !) would allow a Ground Control Station (GCS) on a laptop (also behind a NAT) to communicate with the LTE-connected drone.
Install MAVProxy on the droplet (note that only Python3 is installed by default):
sudo apt-get update
sudo apt-get install python2.7 python-dev python-opencv python-wxgtk3.0 python-pip python-matplotlib python-pygame python-lxml
sudo -H pip install MAVProxy
Telemetry Forwarding (Secondary Companion Computer)
MAVProxy also supports forwarding of MAVLink telemetry.
Install MAVProxy on Odroid C0:
sudo apt-get update
sudo apt-get install python-dev python-opencv python-wxgtk3.0 python-pip python-matplotlib python-pygame python-lxml
sudo -H pip install MAVProxy
Testing via Simulation
Install DroneKit-Python and DroneKit-SITL on Odroid C0:
sudo -H pip install dronekit
sudo -H pip install dronekit-sitl
The copter simulation would normally start but…
odroid@odroid:~$ dronekit-sitl copter
os: linux, apm: copter, release: stable
SITL already Downloaded and Extracted.
Ready to boot.
Execute: /home/odroid/.dronekit/sitl/copter-3.3/apm --home= -35.363261,149.165230,584,353 --model= quad
Traceback ( most recent call last) :
File "/usr/local/bin/dronekit-sitl" , line 11, in <module>
sys.exit( main())
File "/usr/local/lib/python2.7/dist-packages/dronekit_sitl/__init__.py" , line 475, in main
sitl.launch( args, verbose = True)
File "/usr/local/lib/python2.7/dist-packages/dronekit_sitl/__init__.py" , line 266, in launch
p = Popen([ self.path] + args, cwd = wd, shell = sys.platform == 'win32' , stdout = PIPE, stderr = PIPE)
File "/usr/lib/python2.7/subprocess.py" , line 711, in __init__
errread, errwrite)
File "/usr/lib/python2.7/subprocess.py" , line 1343, in _execute_child
raise child_exception
OSError: [ Errno 8] Exec format error
The included models are not built for the ARM architecture on the Odroid C0 !
Re-build the models:
sudo apt-get install git
git clone git://github.com/ArduPilot/ardupilot.git
cd ardupilot/ArduCopter
git submodule init
git submodule update .
make sitl
Start a copter simulation on the Odroid C0 (binds to port 5760):
dronekit-sitl ~/ardupilot/ArduCopter/ArduCopter.elf
Connect Odroid C0 via LTE as described in Part I.
Forward the telemetry to the CCS from the Odroid C0:
mavproxy.py --master tcp:<IP_ADDRESS>:5760 --out <Droplet IP>:14550
Start the CCS on the droplet:
mavproxy.py —master= udp:<Droplet IP>:14550
The CCS should now have control of the simulated copter via LTE !


Hi "[[Username]]",
You are receiving this email because you have selected forgot password.
New Password : [[Password]]
This is an automated message; please do not reply to this email.
Best Regards,
Schoolistics Team


| 003:152 Khan | : |
And Allah did indeed fulfil His Promise to you when you were killing them (your enemy) with His Permission; until (the moment) you lost your courage and fell to disputing about the order, and disobeyed after He showed you (of the booty) which you love. Among you are some that desire this world and some that desire the Hereafter. Then He made you flee from them (your enemy), that He might test you. But surely, He forgave you, and Allah is Most Gracious to the believers. |
| 003:152 Maulana | : |
And Allah certainly made good His promise to you when you slew them by His permission, until you became weak-hearted and disputed about the affair and disobeyed after He had shown you that which you loved.  Then He turned you away from them that He might try you; and He has indeed pardoned you. And Allah is Gracious to the believers. |
| 003:152 Pickthal | : |
Allah verily made good His promise unto you when ye routed them by His leave, until (the moment) when your courage failed you, and ye disagreed about the order and ye disobeyed, after He had shown you that for which ye long. Some of you desired the world, and some of you desired the Hereafter. Therefore He made you flee from them, that He might try you. Yet now He hath forgiven you. Allah is a Lord of Kindness to believers. |
| 003:152 Rashad | : |
GOD has fulfilled His promise to you, and you defeated them by His leave. But then you wavered, disputed among yourselves, and disobeyed after He had shown you (the victory) you had longed for. But then, some of you became distracted by the spoils of this world, while others were rightly concerned with the Hereafter. He then diverted you from them to test you. He has pardoned you. GOD showers the believers with His grace. |
| 003:152 Sarwar | : |
God certainly fulfilled His promise to you when you were fighting the unbelievers, by His permission. Even after We showed you what you wanted, you began to lose courage, started quarreling with each other, and disobeyed God's orders. Some of you want worldly gains and others of you want rewards in the hereafter. Then He let you face defeat in order to test you. However, He forgave you.  Among you were those who desired the present world, and among you were those who desired the Hereafter. Then HE turned you away from them, that HE might try you - and HE has surely pardoned you, and ALLAH is Gracious to the believers - |
| 003:152 Yusufali | : |
Allah did indeed fulfil His promise to you when ye with His permission Were about to annihilate your enemy,-until ye flinched and fell to disputing about the order, and disobeyed it after He brought you in sight (of the booty) which ye covet. Among you are some that hanker after this world and some that desire the Hereafter. Then did He divert you from your foes in order to test you but He forgave you: For Allah is full of grace to those who believe. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > ذو فضل Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> The Full of Bounty to Mankind الإيمان > الإيمان بالله > الابتلاء والفتن اختبار لإيمان المؤمن Faith> Belief In Allah> The Affliction and the Ordeals are test for the Believer's Faith الإيمان > المؤمنون > ابتلاؤهم Faith> The Believers> Their Affliction الجهاد > الغزوات > غزوة أحد Jihad> The Holy Battles> Uhud Battle العمل > العمل الصالح > الاستقامة في العمل Action(Work)> The Good Deeds>Honesty at Work الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الاستقامة Man and The Moral Relations> Good Morals>Honesty الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > المخاصمة والمنازعة Man and The Moral Relations>The Dispraised Morals>Disputed and Contention
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Hello,
You recently submitted your e-mail address to take a survey on ocean and coastal recreation in the Mid-Atlantic. The link below will take you to the survey. Use this same link again if you need to stop and come back to the survey, your information will be saved.
Take the surveyThe survey should take approximately 10 to 15 minutes to complete. By clicking on this link you verify that you are 18 years of age or older and agree to participate in this survey and provide your information to Surfrider. If you need technical assistance please contact us at<EMAIL_ADDRESS>Thank you for participating!
Surfrider Foundation


{% extends "user_dashboard/base_cms.html" %} {% block content %}
{{ err }}
Total Employees
Employees Active
88%
Employees Inactive
2%


Duke University, Class of 2018
Computer Science (BS)
Interests:
- Bioinformatics
- Genetics
- Health Policy
Biography
I am a current senior at Duke University looking for a career in software development- particularly in the health field.


| Class and Description |
|---|
| AbstractExpressionWithPropagatedLiteralsStepSolver
An abstract implementation for step solvers for problems based on a propagated literals, and a propagated CNF.
|
| AbstractMultiQuantifierEliminationProblem |
| AbstractMultiQuantifierEliminator
A
MultiQuantifierEliminator implementing interruption and debugging mechanisms. |
| AbstractSGVET
A
MultiQuantifierEliminator generalizing the Variable Elimination algorithm in the same manner
DefaultMultiQuantifierEliminator is generalized from DPLL,
that is, it can produce symbolic answers and it does not need
to only solve problems with the operations from its classic version
(for the case of VE, sum and product, or max and product). |
| AbstractSingleQuantifierEliminationStepSolver
An abstract implementation for step solvers for quantified expressions
(the quantification being based on an associative commutative group's operation).
|
| DefaultMultiQuantifierEliminationProblem |
| DefaultSingleQuantifierEliminationProblem |
| ExpressionStepSolverToLiteralSplitterStepSolverAdapter
An adapter that allows ExpressionStepSolvers to be used in
situations where ExpressionLiteralSplitterStepSolvers are required (i.e.
|
| Integration |
| MeasurableMultiQuantifierEliminationProblem
A
MultiQuantifierEliminationProblem that knows how to compute the measure
of the domain satisfying its constraint. |
| MeasurableSingleQuantifierEliminationProblem
A
SingleQuantifierEliminationProblem that knows how to compute the measure
of the domain satisfying its constraint. |
| MultiQuantifierEliminationProblemWrapper |
| SingleQuantifierEliminationForIndexFreeBody
Quantifier elimination when the body does not contain the index by doing one of two things:
if the group is idempotent, simplify to
if condition for satisfiability of constraint then body else group's identity . |
| SingleQuantifierEliminationProblemWrapper |
| SingleQuantifierEliminationStepSolver
An interface for step solvers for quantified expressions
(the quantification being based on an associative commutative group's operation).
|
| Class and Description |
|---|
| AbstractMultiQuantifierEliminator
A
MultiQuantifierEliminator implementing interruption and debugging mechanisms. |
| Class and Description |
|---|
| QuantifierTopRewriter
A
TopRewriter solving quantified expressions,
given the syntactic form type, group, and MultiQuantifierEliminator . |
| Class and Description |
|---|
| QuantifierEliminatorOfFunctionOnIntensionalSetTopRewriter
A
Switch extension solving aggregate functions on intensional sets,
given the functor, group, and MultiQuantifierEliminator . |
| Class and Description |
|---|
| AbstractExpressionWithPropagatedLiteralsStepSolver
An abstract implementation for step solvers for problems based on a propagated literals, and a propagated CNF.
|
| AbstractSingleQuantifierEliminationStepSolver
An abstract implementation for step solvers for quantified expressions
(the quantification being based on an associative commutative group's operation).
|
| SingleQuantifierEliminationStepSolver
An interface for step solvers for quantified expressions
(the quantification being based on an associative commutative group's operation).
|
| Class and Description |
|---|
| AbstractBooleanWithPropagatedLiteralsRequiringPropagatedLiteralsAndCNFToBeSatisfiedStepSolver
A specialization of
AbstractExpressionWithPropagatedLiteralsStepSolver
that returns solution false if propagated literals and propagated CNF are not satisfied
by the context. |
| AbstractExpressionWithPropagatedLiteralsStepSolver
An abstract implementation for step solvers for problems based on a propagated literals, and a propagated CNF.
|
| AbstractModelCountingWithPropagatedLiteralsImportedFromSatisfiabilityStepSolver
An abstract step solver for model counting step solvers.
|
| Class and Description |
|---|
| AbstractExpressionWithPropagatedLiteralsStepSolver
An abstract implementation for step solvers for problems based on a propagated literals, and a propagated CNF.
|
| AbstractSingleQuantifierEliminationStepSolver
An abstract implementation for step solvers for quantified expressions
(the quantification being based on an associative commutative group's operation).
|
| SingleQuantifierEliminationStepSolver
An interface for step solvers for quantified expressions
(the quantification being based on an associative commutative group's operation).
|
| Class and Description |
|---|
| AbstractExpressionWithPropagatedLiteralsStepSolver
An abstract implementation for step solvers for problems based on a propagated literals, and a propagated CNF.
|
| Class and Description |
|---|
| AbstractBooleanWithPropagatedLiteralsRequiringPropagatedLiteralsAndCNFToBeSatisfiedStepSolver
A specialization of
AbstractExpressionWithPropagatedLiteralsStepSolver
that returns solution false if propagated literals and propagated CNF are not satisfied
by the context. |
| AbstractExpressionWithPropagatedLiteralsStepSolver
An abstract implementation for step solvers for problems based on a propagated literals, and a propagated CNF.
|
| AbstractModelCountingWithPropagatedLiteralsImportedFromSatisfiabilityStepSolver
An abstract step solver for model counting step solvers.
|
| Class and Description |
|---|
| Integration |


Adventure
Technology
Home
Adventure
Technology
We Build
Branded Platforms
Creative Minds
Our creative talent teams help you in reaching your target audience
Search Engine Optimization
Adwords
Social Media Campaign
Radio
Newspaper
Banners
Never Stop Learning
Expertise & Beliefs
Word of Mouth
Engaging Content
Leave a Great First Impression
Laser focus on the right audience
Optimized funnel
Continuous tracking
Quality Over Quantity
Other Services
Data Analytics
Web Development
Branding
eCommerce Development
Design & UX
Strategy
We have high quality services that you will surely love!
Contact US
hello@adventuretechnology.online


nxtdevices
– NXT Devices¶
Use LEGO® MINDSTORMS® NXT motors and sensors with the EV3 brick.
NXT Motor¶
This motor works just like a LEGO MINDSTORMS EV3 Large Motor. You can use it in
your programs using the Motor
class.
NXT Touch Sensor¶
NXT Light Sensor¶
-
class
LightSensor
(port)¶ LEGO® MINDSTORMS® NXT Color Sensor.
Parameters: port (Port) – Port to which the sensor is connected. -
ambient
()¶ Measures the ambient light intensity.
Returns: Ambient light intensity, ranging from 0 (dark) to 100 (bright). Return type: percentage: %
-
reflection
()¶ Measures the reflection of a surface using a red light.
Returns: Reflection, ranging from 0 (no reflection) to 100 (high reflection). Return type: percentage: %
-
NXT Color Sensor¶
-
class
ColorSensor
(port)¶ LEGO® MINDSTORMS® NXT Color Sensor.
Parameters: port (Port) – Port to which the sensor is connected. -
color
()¶ Measures the color of a surface.
Returns: Color.BLACK
,Color.BLUE
,Color.GREEN
,Color.YELLOW
,Color.RED
,Color.WHITE
orNone
.Return type: Color
, orNone
if no color is detected.
-
ambient
()¶ Measures the ambient light intensity.
Returns: Ambient light intensity, ranging from 0 (dark) to 100 (bright). Return type: percentage: %
-
reflection
()¶ Measures the reflection of a surface.
Returns: Reflection, ranging from 0 (no reflection) to 100 (high reflection). Return type: percentage: %
-
rgb
()¶ Measures the reflection of a surface using a red, green, and then a blue light.
Returns: Tuple of reflections for red, green, and blue light, each ranging from 0.0 (no reflection) to 100.0 (high reflection). Return type: (percentage: %, percentage: %, percentage: %)
Built-in light
This sensor has a built-in light. You can make it red, green, blue, or turn it off.
-
light.
on
(color)¶ Turns on the light at the specified color.
Parameters: color (Color) – Color of the light. The light turns off if you choose None
or a color that is not available.
-
light.
off
()¶ Turns off the light.
-
NXT Ultrasonic Sensor¶
-
class
UltrasonicSensor
(port)¶ LEGO® MINDSTORMS® NXT Ultrasonic Sensor.
Parameters: port (Port) – Port to which the sensor is connected. -
distance
()¶ Measures the distance between the sensor and an object using ultrasonic sound waves.
Returns: Distance. Return type: distance: mm
-
NXT Sound Sensor¶
-
class
SoundSensor
(port)¶ LEGO® MINDSTORMS® NXT Sound Sensor.
Parameters: port (Port) – Port to which the sensor is connected. -
intensity
(audible_only=True)¶ Measures the ambient sound intensity (loudness).
Parameters: audible_only (bool) – Detect only audible sounds. This tries to filter out frequencies that cannot be heard by the human ear. Returns: Sound intensity. Return type: percentage: %
-
NXT Temperature Sensor¶
-
class
TemperatureSensor
(port)¶ LEGO® MINDSTORMS® NXT Temperature Sensor.
Parameters: port (Port) – Port to which the sensor is connected. -
temperature
()¶ Measures the temperature.
Returns: Measured temperature. Return type: temperature: °C
-
NXT Energy Meter¶
-
class
EnergyMeter
(port)¶ LEGO® MINDSTORMS® Education NXT Energy Meter.
Parameters: port (Port) – Port to which the sensor is connected. -
storage
()¶ Gets the total available energy stored in the battery.
Returns: Remaining stored energy. Return type: energy: J
-
input
()¶ Measures the electrical signals at the input (bottom) side of the energy meter. It measures the voltage applied to it and the current passing through it. The product of these two values is power. This power value is the rate at which the stored energy increases. This power is supplied by an energy source such as the provided solar panel or an externally driven motor.
Returns: Voltage, current, and power measured at the input port. Return type: (voltage: mV, current: mA, power: mW)
-
output
()¶ Measures the electrical signals at the output (top) side of the energy meter. It measures the voltage applied to the external load and the current passing to it. The product of these two values is power. This power value is the rate at which the stored energy decreases. This power is consumed by the load, such as a light or a motor.
Returns: Voltage, current, and power measured at the output port. Return type: (voltage: mV, current: mA, power: mW)
-
Vernier Adapter¶
-
class
VernierAdapter
(port, conversion=None)¶ LEGO® MINDSTORMS® Education NXT/EV3 Adapter for Vernier Sensors.
Parameters: - port (Port) – Port to which the sensor is connected.
- conversion (callable) – Function of the format
conversion()
. This function is used to convert the raw analog voltage to the sensor-specific output value. Each Vernier Sensor has its own conversion function. The example given below demonstrates the conversion for the Surface Temperature Sensor.
-
voltage
()¶ Measures the raw analog sensor voltage.
Returns: Analog voltage. Return type: voltage: mV
-
conversion
(voltage)¶ Converts the raw voltage (mV) to a sensor value.
If you did not provide a
conversion
function earlier, no conversion will be applied.Parameters: voltage (voltage: mV) – Analog sensor voltage Returns: Converted sensor value. Return type: float
-
value
()¶ Measures the sensor
voltage()
and then applies yourconversion()
to give you the sensor value.Returns: Converted sensor value. Return type: float
Show/hide example
Example: Using the Surface Temperature Sensor.
#!/usr/bin/env pybricks-micropython
from pybricks.parameters import Port
from pybricks.nxtdevices import VernierAdapter
from math import log
# Conversion formula for Surface Temperature Sensor
def convert_raw_to_temperature(voltage):
# Convert the raw voltage to the NTC resistance
# according to the Vernier Adapter EV3 block.
counts = voltage/5000*4096
ntc = 15000*(counts)/(4130-counts)
# Handle log(0) safely: make sure that ntc value is positive.
if ntc <= 0:
ntc = 1
# Apply Steinhart-Hart equation as given in the sensor documentation.
K0 = 1.02119e-3
K1 = 2.22468e-4
K2 = 1.33342e-7
return 1/(K0 + K1*log(ntc) + K2*log(ntc)**3)
# Initialize the adapter on port 1
thermometer = VernierAdapter(Port.S1, convert_raw_to_temperature)
# Get the measured value and print it
temp = thermometer.value()
print(temp)


Freddie Fruitpie at the Funderful Fruit Company is responsible for scheduling trucks to ship fruit to customers. He's somewhat puzzled by the following order from Zero Zalinski's Grocery and Karioke Bar: We need apples and bananas. The number of bananas should equal the number of apples. The number of each should be multiplied by the number of apples, and the square of the number of bananas should be subtracted from both results. How large of a truck should Freddie schedule?
Eunice must program the computer in an automobile which controls the display of the velocity. The input is the output from the new Enermeas sensor which gives a very repeatable value for a given velocity. The engineering team believes the the output from the Enermeas is a quadratic function of the velocity. Eunice did a regression of the Output vs v data and determined that the relationship between output and velocity is
Out = v2 - 2v + 3.
Two of the data points were Out = 2, v = 1, and Out = 3, v = 2. Can Eunice's formula be correct? What is the minimum number of points needed to determine if the functional form is wrong? If her formula is correct, what is the velocity for an Output of 27?


Populate district dropdown based on option selected in division dropdown using AJAX
Division
---Select---
Barisal
Chattogram
Dhaka
Khulna
Mymensingh
Rajshahi
Rangpur
Sylhet
District
---Select---
Submit
Division ->
District ->


GoDaddy Links
Whois for AffiliateAPI.com
Buying Service for AffiliateAPI.com
Register Affiliate-API.com
Deep Link to GoDaddy Web Tools


new Scene(domElement)
Initializes the scene and the interactions
Parameters:
| Name | Type | Description |
|---|---|---|
domElement |
domElement | The container of the module |
Methods
addComponentsToScene()
Adds of all the objects in _sceneObjets to the three js scene
addObject(nickName, objectOpacity, objectColor, caller, callback)
Loads an object and adds it to the list of objects to be added to the scene
Parameters:
| Name | Type | Description |
|---|---|---|
nickName |
string | The nickName of the object |
objectOpacity |
float | The initial opacity of the object |
objectColor |
string | The initial color of the object as an hex value preceded by a "#" |
caller |
object | The call of the methode |
callback |
function | The callback to call when the loading is completed |
load()
Loads the three js scene, the interaction and refresh loops
performCommand()
Is used by the ScenarioPlayer to execute the commands
playAnimations()
Is used to notify the animationManager that it can play all the animtions in its queue
rotateAroundX(angle)
Rotates the camera around the X axis for a given angle
Parameters:
| Name | Type | Description |
|---|---|---|
angle |
float | The angle of rotation |
rotateAroundZ(angle)
Rotates the camera around the Z axis for a given angle
Parameters:
| Name | Type | Description |
|---|---|---|
angle |
float | The angle of rotation |
setColor(], opacity)
Sets the color of the objects with the given nicknames
Parameters:
| Name | Type | Description |
|---|---|---|
] |
string | arrayOfNickNames - An array of the nickNames of the objets to change the opacity of |
opacity |
float | The desired color as a string of the hex value of the color preceded by a "#" |
setInteractionEnabled(interactionEnabled)
Enabled or disables user interaction
Parameters:
| Name | Type | Description |
|---|---|---|
interactionEnabled |
bool | The interaction state. |
setOpacity(], opacity)
Sets the opacity of the objects with the given nicknames
Parameters:
| Name | Type | Description |
|---|---|---|
] |
string | arrayOfNickNames - An array of the nickNames of the objets to change the opacity of |
opacity |
float | The desired opacity from 0.0 to 1.0 |