The Human Heredity and Health in Africa (H3Africa) Initiative aims to facilitate a contemporary research approach to the study of genomics and environmental determinants of common diseases with the goal of improving the health of African populations. Data and biospecimens from H3Africa projects are available for further use, with access controlled by a Data and Biospecimen Access Committee. The data is housed in the European Genome-phenome Archive and the biospecimens in three H3Africa biorepositories. This catalogue is to enable users to search for datasets or biospecimens of interest.
Visit the H3Africa website


create file object
archiveAddresses
none
getAddressesToAdd
anonymous array of ip addresses that will be added to the Tree structure
getAddressesToRemove - These are removed from the tree before the new addresses are added
anonymous array of ip addresses that will be removed to the Tree structure
getCurrentFile
none - No return but does update the address and header arrays associated with this Class
Sets the array of IP addresses by value using the spread operator
Array of blacklisted IP addresses from initial file access in the dotted decimal/prefix form (CIDR) <IP_ADDRESS>/20
Sets the header array
Array of header values (lines) passed in from the initial file access
Generated using TypeDoc
Class for file operations. These are the files containing the IP addresses used for blocked fraudulent access


Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
VOTI
Mailing Address:
102-1840 Trans-Canada HwyDORVAL, Quebec
H9P 1H7
Location Address:
102-1840 Trans-Canada HwyDORVAL, Quebec
H9P 1H7
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Logo
Company Profile
Established in 2008, VOTI is a leading-edge technology company that develops latest-generation x-ray security systems based on breakthrough 3-D perspective technology. VOTIs technology produces remarkably sharp and more-revealing x-ray images that are competitively superior, while delivering enhanced threat detection capabilities and a vastly-improved user experience.
Since its inception, VOTI has consulted heavily with government agencies and security specialists worldwide to develop feature-rich and easy-to-use scanners that meet the sophisticated needs of modern security screening operations. Our R&D continues to focus on bringing innovative ideas and new technologies together to provide frontline users with clear, discerning information and the tools they need to make quick, accurate decisions.
VOTIs scanners are ideally suited for security screening at Critical Infrastructures, Correctional Facilities, (e.g. government buildings, embassies, courts, mail rooms and sensitive installations), Ports & Borders, Military Facilities and Transportation nodes (cargo, transit, airports). Delivering competitively superior, cost-effective performance, VOTIs scanners have drawn interest worldwide and are being actively deployed in North America, Latin America, Europe and the Middle-East.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
VOTI’s family of screening devices presents an unparalleled ability to provide extremely detailed and more revealing images. These features are crucial to your operators since they will be able to make quick and confident decisions while effectively scanning mail, bags, parcels and cargo for threats and illicit materials. In addition to 3D perspective technology, our products offer multiple new feature sets that deliver enhanced threat detection, superior operations management, high reliability and a low cost of ownership.
We offer a range of tunnel sizes, as best suits your needs, and all models feature ground-breaking 3D perspective technology. All our products are designed in compliance to international safety standards and regulations and integrate easily into larger security architectures.
XR3D-4: Designed for scanning mail and small parcels, the XR3D-4 is the ideal solution for secured facilities where space is a premium, such as embassies, courthouses, prisons and executive offices.
XR3D-5: With a tunnel opening of 21.7” x 13.8” (550 mm x 350 mm) small and medium parcels and bags can be screened easily and effectively. The XR3D-5 is the ideal small-footprint solution for critical infrastructures, transportation and border security.
XR3D-6: With a tunnel opening of 24.2” x 16.7” (615 mm x 425 mm), the XR3D-6 is the ideal solution for critical infrastructures, transportation and border operations where screening of parcels and bags is required.
XR3D-7: With a tunnel opening of 29.5” x 21.7” (750 mm x 550 mm), the XR3D-7 is the ideal medium-footprint solution for critical infrastructures, transportation and border security.
XR3D-10: With a tunnel opening of 39.4″ x 39.4″ (1000 mm x 1000 mm), the XR3D-10 is the ideal solution for critical infrastructures, transportation and border operations where screening of parcels, bags and small cargo is required.
XR3D-18: With a tunnel opening of 70.9″ x 70.9″ (1800 mm x 1800 mm), the XR3D-18 is the ideal solution for critical infrastructure, transportation and border operations where the screening of medium to large cargo is required.
XR3D-10M: With a tunnel opening of 39.4″ x 39.4″ (1000 mm x 1000 mm), the XR3D-10M is an easy to operate, single source, versatile mobile scanner that provides operators with extremely detailed, more revealing images, enhanced detection capabilities and a very low cost of ownership.
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
VOTI’s family of screening devices presents an unparalleled ability to provide extremely detailed and more revealing images. These features are crucial to your operators since they will be able to make quick and confident decisions while effectively scanning mail, bags, parcels and cargo for threats and illicit materials. In addition to 3D perspective technology, our products offer multiple new feature sets that deliver enhanced threat detection, superior operations management, high reliability and a low cost of ownership.
We offer a range of tunnel sizes, as best suits your needs, and all models feature ground-breaking 3D perspective technology. All our products are designed in compliance to international safety standards and regulations and integrate easily into larger security architectures.
XR3D-4: Designed for scanning mail and small parcels, the XR3D-4 is the ideal solution for secured facilities where space is a premium, such as embassies, courthouses, prisons and executive offices.
XR3D-5: With a tunnel opening of 21.7” x 13.8” (550 mm x 350 mm) small and medium parcels and bags can be screened easily and effectively. The XR3D-5 is the ideal small-footprint solution for critical infrastructures, transportation and border security.
XR3D-6: With a tunnel opening of 24.2” x 16.7” (615 mm x 425 mm), the XR3D-6 is the ideal solution for critical infrastructures, transportation and border operations where screening of parcels and bags is required.
XR3D-7: With a tunnel opening of 29.5” x 21.7” (750 mm x 550 mm), the XR3D-7 is the ideal medium-footprint solution for critical infrastructures, transportation and border security.
XR3D-10: With a tunnel opening of 39.4″ x 39.4″ (1000 mm x 1000 mm), the XR3D-10 is the ideal solution for critical infrastructures, transportation and border operations where screening of parcels, bags and small cargo is required.
XR3D-18: With a tunnel opening of 70.9″ x 70.9″ (1800 mm x 1800 mm), the XR3D-18 is the ideal solution for critical infrastructure, transportation and border operations where the screening of medium to large cargo is required.
XR3D-10M: With a tunnel opening of 39.4″ x 39.4″ (1000 mm x 1000 mm), the XR3D-10M is an easy to operate, single source, versatile mobile scanner that provides operators with extremely detailed, more revealing images, enhanced detection capabilities and a very low cost of ownership.


R client interface to the "Redis" key-value database.
| Version: | 1.7.0 |
| Suggests: | RUnit |
| Published: | 2015-07-05 |
| Author: | B. W. Lewis |
| Maintainer: | B. W. Lewis <blewis at illposed.net> |
| License: | Apache License (≥ 2.0) |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | HighPerformanceComputing |
| CRAN checks: | rredis results |
| Reference manual: | rredis.pdf |
| Vignettes: |
rredis Manual |
| Package source: | rredis_1.7.0.tar.gz |
| Windows binaries: | r-devel: rredis_1.7.0.zip, r-release: rredis_1.7.0.zip, r-oldrel: rredis_1.7.0.zip |
| OS X binaries: | r-release: rredis_1.7.0.tgz, r-oldrel: rredis_1.7.0.tgz |
| Old sources: | rredis archive |
| Reverse depends: | doRedis |
| Reverse suggests: | RcppRedis |
Please use the canonical form https://CRAN.R-project.org/package=rredis to link to this page.


---
layout: post
title: stunt truck visual concepts and final painted
date: '2015-06-24T18:30:42+02:00'
categories:
- Props
picture_url: https://film-Storyboards.tumblr.com/post/122374223730/stunt-truck-visual-concepts-and-final-painted
---
Stunt truck print concept
Stunt truck visual concepts and final painted trucks used in Franco Dragone’s show The House of Dancing Water, City of Dreams, Macau.
Art Direction: Marie-Caroline De Baecque.
The paintings were copied by a graffiti artist from the original drawings onto the mini-trucks—they used projection.


• GlyphWalker lets you walk simultaneously back and forth through all open fonts while showing the current glyph.
• Use your hot key / short key (defined in the preferences) for walking to the next and previous glyph.
• change display settings for all glyph windows (like outline/points/blues etc.)
• zoom in and out (buttons: + and -)
• the tile button will order all your glyph edit windows on your screen according to family, width, weight (if openTypeOS2WeightClass, openTypeOS2WidthClass etc. is set in your fonts)
for more information and screenshots:
https://github.com/luke-snider/GlyphWalker


Welcome to FanOfCucmbers .NET application for data visualisation of some cucumbers public data.
* This application use cucumbers public data available here https://open.canada.ca/data/en/dataset.
* Login<EMAIL_ADDRESS>// Password: cuCUmberS!20


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Artificial Intelligence
- Intelligent Agents and their Environments
- The concept of a Rational Agent
- Specifying the Task environment
- (PEAS description)
- Different characteristics of environments
- Fully vs Partially observable
- Static vs Dynamic
- Episodic vs Sequential
- Different types of agents : Reflex, Goal-based, Utility-based
- Search - Formulating a search problem
- Uninformed Search strategies
- BFS, DFS, DLS, ID-DFS
- Their working principles
- Complexities
- Relative advantages and disadvantages
- Informed (heuristic) Search strategies
- Greedy Best-first search
- A* search: Working principle
- Characteristics of heuristics (admissibility and consistency)
- Proof of A*’s optimality
- Local search: Hill Climbing
- Searching with non-deterministic actions
- AND-OR search trees
- Searching with partial observability
- Belief state-space search
- Adversarial Search - Formulation of a Game tree
- The minimax algorithm
- Alpha-Beta pruning: Its rationale
- Working principle
- Move ordering and Search cut-off
- Probabilistic Reasoning
- Bayes’ rule and its uses
- Bayesian Network: Building a Bayes-net
- Making inference from it
- Markov Chains and Hidden Markov Models
- Transition and Sensor models
- Building and HMM
- Applications of HMM
- Inference in temporal models
- Filtering and Prediction
- Most Likely explanations (Viterbi algorithm)
- Particle Filters: basic working principle
- Making Decisions - Decision theory and Utility theory
- Lottery, Utility functions
- Maximum Expected Utility principle
- Constraints of Utility (Orderability, Transitivity)
- Markov Decision Processes: Policies, Rewards
- Optimal policies and the Utility of States
- Value Iteration
- Supervised learning: Training set, Test set
- Overfitting and Underfitting
- Decision trees: Basic understanding
- Learning a Decision tree through entropy calculation
- Nearest Neighbor classifier
- Basic working principle
- Relative advantages and disadvantages
- Naive Bayes classifier
- Basic working principle
- Calculating classification procedures
- Relative advantages and disadvantages
- Artificial Neural Network: Basic working principle
- Basic structure and calculation of a perceptron
- Basics of backpropagation algorithm
- Support Vector Machines: Basic working principle
- Unsupervised Learning (Clustering)
- Basic concepts and applications of Clustering
- Different types of Clustering: Partitional vs. Hierarchical
- Exclusive vs Overlapping vs Fuzzy
- Complete vs Partial
- K-means Clustering: Basic working principle
- Characteristics, advantages, disadvantages
- Agglomerative Hierarchical Clustering: Basic concepts
- Representations (Dendrograms and Nested cluster diagrams)
- Different techniques to define cluster proximity
- Single link, Complete link, Group average
- Centroid method, their relative advantages and disadvantages
- DBSCAN: Basic principle and applications
- Classification of points (Core, Border and Noise)
- Understanding basics of Reinforcement Learning
- MDPs, Policies, Rewards, Utilities
- Passive and Active Reinforcement Learning
- Exploration and Exploitation
- Adaptive Dynamic Programming
- Temporal Difference Learning
- Q-Learning


| capture_condition {testthat} | R Documentation |
These functions allow you to capture the side-effects of a function call
including printed output, messages and warnings. We no longer recommend
that you use these functions, instead relying on the expect_message()
and friends to bubble up unmatched conditions. If you just want to silence
unimportant warnings, use suppressWarnings()
.
capture_condition(code, entrace = FALSE) capture_error(code, entrace = FALSE) capture_expectation(code, entrace = FALSE) capture_message(code, entrace = FALSE) capture_warning(code, entrace = FALSE) capture_messages(code) capture_warnings(code)
code |
Code to evaluate |
entrace |
Whether to add a backtrace to the captured condition. |
Singular functions (capture_condition
, capture_expectation
etc)
return a condition object. capture_messages()
and capture_warnings
return a character vector of message text.
f <- function() { message("First") warning("Second") message("Third") } capture_message(f()) capture_messages(f()) capture_warning(f()) capture_warnings(f()) # Condition will capture anything capture_condition(f())


Loading...
| Name | Int/Prod | Owner | |||
|---|---|---|---|---|---|
| Data | Model | Skill | |||
| {{ pre.DomainName }} | 0">{{pre.DomainName}} | {{ pre.InDevelopment? "Int": "Prod" }} | {{ pre.Owners? pre.Owners.DataOwnerList.Alias.toString() : "" }} | {{ pre.Owners? pre.Owners.ModelOwnerList.Alias.toString() : "" }} | {{ pre.Owners? pre.Owners.SkillOwnerList.Alias.toString() : "" }} |
| Name | Int/Prod | Owner | ||
|---|---|---|---|---|
| Data | Model | Skill | ||
| {{m.DomainName}} | {{ m.InDevelopment? "Int": "Prod" }} | {{ m.Owners? m.Owners.DataOwnerList.Alias.toString(): "" }} | {{ m.Owners? m.Owners.ModelOwnerList.Alias.toString(): "" }} | {{ m.Owners? m.Owners.SkillOwnerList.Alias.toString(): "" }} |
| Name | Int/Prod | Owner | ||
|---|---|---|---|---|
| Data | Model | Skill | ||
| {{m.DomainName}} | {{ m.InDevelopment? "Int": "Prod" }} | {{ m.Owners? m.Owners.DataOwnerList.Alias.toString(): "" }} | {{ m.Owners? m.Owners.ModelOwnerList.Alias.toString(): "" }} | {{ m.Owners? m.Owners.SkillOwnerList.Alias.toString(): "" }} |


Social Software
The Social Software Engineering research at the INESC-ID Software Engineering Group focus on the interaction between people and software. The aspects addressed are two fold: On the one hand, it considers the software development process as a social construct; On the other hand, it regards software tools as social enablers. The former addresses issues like the Collaborative Development of Software and agile methods for software development, whereas the later focus on the use of social software features to enable social interactions and the creation of social entities.
We envision software environments which automate work without giving up on people empowerment.
Several projects are taking place where these issues are addressed in either isolation or combination.
- The Blended Workflow project fuses a workflow activity-based approach with a workflow goal-based approach to smoothly support an automated standard behaviour together with human guided deviations whenever unexpected situations occur.
- The Social Edition environment is a software tool that leverages on social software features to foster the collaboration among stakeholders in the edition of a literary text.
- Processpedia is a business process management software environment which fosters the collaboration among all stakeholders without disrupting the way they work and perceive their work.
- The Collaborative Development focus on the detection and resolution of code conflicts while software is being concurrently developed by distributed teams of programmers.


| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Russian Roulette | 1975 | Lou Lombardo | Canada & UK | Kosygin Is Coming | Tom Ardies | 1974 | Novel |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Blood Alley | 1955 | William A. Wellman | US | Blood Alley | Albert Sidney Fleischman | 195? | Novel |
| On Dangerous Ground * | 1996 | Lawrence Gordon Clark | Canada, UK | On Dangerous Ground | "Jack Higgins" | 1994 | Novel |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Soldier of Fortune | 1955 | Edward Dmytryk | US | Soldier of Fortune | Ernest K. Gann | 1954 | Novel |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Stopover Tokyo | 1957 | Richard L. Breen | US | Rendezvous in Tokyo aka Right You Are, Mr. Moto |
John P. Marquand | 1956 | Novel |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Mao's Last Dancer | 2009 | Bruce Beresford | Australia | Mao's Last Dancer | Li Cunxin | 2003 | Autobiography |
1954
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Citizen Cohn * | 1992 | Frank Pierson | US | Citizen Cohn | Nicholas von Hoffman | 1988 | Non-fiction |
October 1962
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Memories of Underdevelopment Memorias del subdesarrollo |
1968 | Tomás Gutiérrez Alea | Cuba | Inconsolable Memories Memorias del subdesarrollo |
Edmundo Desnoes | 1962 | Novel |
| The Missiles of October * | 1974 | Anthony Page | US | Thirteen Days | Robert F. Kennedy | 1969 | Memoir |
| Robert Kennedy & His Times * | 1985 | Marvin J. Chomsky | US | Robert Kennedy and His Times[9] | Arthur M. Schlesinger, Jr. | 1978 | Non-fiction |
| Thirteen Days | 2000 | Roger Donaldson | US | The Kennedy Tapes - Inside the White House During the Cuban Missile Crisis | Ernest May & Philip Zelikow | 1997 | Non-fiction |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Bombers B-52 | 1957 | Gordon Douglas | US | Bombers B-52 (?) | Sam Rolfe | 195? | Novel |
| Rally 'Round the Flag, Boys! | 1958 | Leo McCarey | US | Rally 'Round the Flag, Boys! | Max Shulman | 195? | Novel |
| The Inside Man Slagskämpen |
1984 | Tom Clegg | Sweden & UK | The Fighter Slagskämpen |
Harry Kullman | 1980 | Novel |
| The Hunt for Red October | 1990 | John McTiernan | US | The Hunt for Red October | Tom Clancy | 1984 | Novel |
| Hostile Waters * | 1997 | David Drury | France, Germany, UK, US | Hostile Waters (uncredited) | Capt. Peter Huchthausen ♠, Igor Kurdin, R. Alan White (uncredited) | 1997 | Non-fiction |
| K-19: The Widowmaker | 2002 | Kathryn Bigelow | UK, Germany, US, Canada | K-19: The Widowmaker — The Secret Story of the Soviet Nuclear Submarine (uncredited) | Capt. Peter Huchthausen (uncredited) | 2002 | Non-fiction |
| 72 Metres 72 метра |
2004 | Vladimir Khotinenko | Russia | ? | Aleksandr Pokrovsky | 199? | Novels |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| Fail-Safe | 1964 | Sidney Lumet | US | Fail-Safe | Eugene Burdick & Harvey Wheeler | 1962 | Novel |
| Dr. Strangelove[10] | 1964 | Stanley Kubrick | UK & US | Red Alert | Peter Bryant | 1958 | Novel |
| The Bedford Incident | 1965 | James B. Harris | US | The Bedford Incident | Mark Rascovich | 1963 | Novel |
| Twilight's Last Gleaming | 1977 | Robert Aldrich | US | Viper Three | Walter Wager | 1971 | Novel |
| The Fifth Missile * | 1986 | Larry Peerce | Italy & US | The Gold Crew | Frank M. Robinson & Thomas N. Scortia | 1980 | Novel |
| By Dawn's Early Light * | 1990 | Jack Sholder | US | Trinity's Child | William Prochnau | 1983 | Novel |
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| The Damned | 1963 | Joseph Losey | UK | The Children of Light | H.L. Lawrence | 196? | Novel |
| Archangel * | 2005 | Jon Jones | UK | Archangel | Robert Harris | 1998 | Novel |
| Watchmen | 2009 | Zack Snyder | US | Watchmen | Alan Moore | 1986– 1987 |
Graphic novel |
| The Iron Giant α | 1999 | Brad Bird | US | The Iron Man | Ted Hughes | 1968 | Novel |
The fictional defeat of the US by the bowmen of the Duchy of Grand Fenwick.
| Film | Date | Director | Country | Source work |
Author | Date | Type |
|---|---|---|---|---|---|---|---|
| The Mouse That Roared | 1959 | Jack Arnold | UK | The Day New York Was Invaded aka The Mouse That Roared |
Leonard Wibberley | 1955 | Novel |
| The Mouse on the Moon | 1963 | Richard Lester | UK | The Mouse on the Moon | Leonard Wibberley | 1962 | Novel |
1947


Publish a single Ad, it never expires. Hassle and contract free for you to use.
Online hassle-free contract signature with tenants.
Professional photos of your house, taken by us.


{% extends "layout.html" %} {% block body %}
| {{ room }} | {{ code }} |
These codes change at the beginning of each school year.
| Service | Password | |
|---|---|---|
| {{ service }} | {{ login['email'] }} | {{ login['password'] }} |
| {{ location }} | 626-395-{{ extension }} |
Use the 1.5 phone number {% if '1.5' in secrets.PHONES %} (626-395-{{ secrets.PHONES['1.5'] }}) {% endif %} linked to Ruddock's membership card.
{% endif %}If you need help setting up a printer, don't hesitate to ask any IMSS rep.
| Name | Color | Location | Network address | Model |
|---|---|---|---|---|
| Desert | b&w | O'Doms | desert.caltech.edu | Xerox Phaser 4510 |
| Tundra | b&w | Computer Lab | tundra.caltech.edu | Xerox Phaser 4600 |
| Reef | color | Computer Lab | reef.caltech.edu | Brother HL-3170CDW |
All lists are @ruddock.caltech.edu.
| Name | Notes |
|---|---|
| spam@ | General mailing list. RAs are on this list. |
| socials@ | Important announcements. RAs and RLCs are on this list. |
| members@ | Important announcements for full house members only. RAs and RLCs are on this list. |
| AlleyX@ | Reach only people living in Alley X for X = 0..6 |
| 20XX@ | Reach only people graduating in the year 20XX |
| men@/women@ | Reach only people who identify as male/female |


--- layout: documentation title: LinksType ---
The LinksType captures a list of URIs, representing the links contained in the message.
| Field Name | Type | Description |
|---|---|---|
| Link1..n | LinkReferenceType |
The Link field specifies a single URL link contained within the email message, via a reference to an Object included elsewhere in the document. |


Learn to drive
Use this service to:
- check your eligibility
- check the total cost
- check what's involved to apply
Before you start
You can also check by post.
The online service is also available in Welsh (Cymraeg).
You can’t register for this service if you’re in the UK illegally.


Cookbook¶
Producing dust-temperature, dust-mass and \beta maps from a list of images at different temperature by fitting multi-greybody components to the spectral energy distribution at every pixel.
Setup initial guesses¶
The Sed and SedStack classes take initial guesses for temperatures, masses and beta values as input. These variables have to be given as lists with as many entries as there are components to be fitted.
>>> from astrolyze import *
>>> number_of_components = 2
>>> temperature_guesses = [20, 40]
>>> mass_guesses = [1e5, 1e3]
>>> beta_guess = [2]
Note
At the moment only a single beta value for both components can be used.
Prepare the maps with the different wavelength of the SED¶
To create an SedStack you have to have a folder that contains only the maps you want to use. At the beginning these can still have different formats, resolution and other parameters. You can use the Stack class to unify the maps. Especially to construct temperature and mass maps from these maps, the Stack of maps has to have the same resolution, flux unit, and dimensions (map/pixel size). In the following the process of unifying a set of images is shown.
>>> stack_ = Stack("InputFolder")
>>> stack_ = stack_.unify_units(unit="JyB", folder="output_folder1")
>>> stack_ = stack_.unify_resolutions(folder="output_folder2") # Default uses larges resolution found
>>> stack_ = stack_.unify_dimensions(template="template_map", folder="output_folder3")
Here template_map is a map that has the dimension and pixel size one ones to obtain for the final SED-maps. output_folder1-3 should be physically distinct.
Loadind the SedStack and fitting¶
Now one can load the final stack of images and produce the SED maps
>>> sed_stack = SedStack('output_folder3', full_map=true, flux_acquisition='pixel', number_components=2, temperature_guesses=temperature_guesses, mass_guesses=mass_guesses, beta_guess=beta_guess)
>>> sed_stack.get_sed_maps(folder="final_output_folder")


 Then I took the liberty of expanding my mind, to get to know of similar kind, to make me to promise me open up my eyes, to gimme a way to realize that the path here may be less traveled, the trinkets, odd clocks far less acquired, but a people there, a people here we agreed to meet up where we'd care up on our kins, party with filled up ale skins and promise to never stop to go forth and learn a lot of how to care of our kin kind and do of things grand and fine to build upon the things ever great a thing or two of great strength to carry on the words a far about love, about caring heart.
I'm a programmer. I'm a father, a husband. Vegetarian. Eco-anarchist of sort. I live to make people happy, I live to understand what there's around us that makes it so hard for us.
There is a chance that I love you, greater that I would not.
You can drop me a mail to address heimojuh ( at ) gmail dot com. I'm also at twitter, and go by moniker Evilbubu.
Peace, out. Juha.


BCCO NYC is one of the highest rated print shops in the Tri-State area. When you choose to work with BCCO NYC we offer so much more than typical online printing companies. We pride ourselves on being able to work with our clients to bring their designs to life. We are dedicated to taking as much time as you need to make sure we answer all of your questions and iron out all details of your project.
With limited exceptions, every order placed with us has a pre-production sample made. We will send you a high-resolution photo of the final product and give you the option to either come in to approve in person, or have it shipped to you. This ensures we exceed your expectations on every order you place with us. We highly recommend you approve a physical sample, however, if for any reason you wish to approve your sample based solely on the photo we send, we are happy to move forward as soon as we receive your approval. We also offer comprehensive rush-printing services, which includes same-day fulfillment.
Here at BCCO NYC we have mastered the art of bringing ideas to life. We are experts in screen printing, embroidery, and vinyl printing. In addition, we have spent years perfecting the science of direct to garment printing and are considered one the the premier DTG providers in New York.
Our main focus is to provide superb concierge service to career designers and those who are looking for a one time print experience. We will work with materials provided by you, or supply the garments from one of our many approved suppliers.
Unfortunately due to COVID-19 we can not offer in person consultations at this time. Please fill out our quote form to get a quote for your request. If you wish to set up a phone consultation, we will be happy to accommodate you.
As a high-end boutique custom print shop we are here to make sure that you have the best possible interaction with our team and that you receive the highest quality product possible. Getting started with BCCO NYC is simple and easy!
We welcome you to give us a call to discuss all the details of your project. Once we answer any questions you may have, you will be directed to the quote form that is available online. This is where you can lay out all of the information we need to build your quote.
Any form that is submitted before 5:00 PM will receive a same-day response. All quote requests received after this time will be answered the following business day.
If you have any questions about the quote form or would like assistance as you fill it out please feel free to give us a call and we will happily walk you through it.
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We will then send you a mock up for your approval. Mock ups are digital representations of your design and are not necessarily to scale. All mockups will have written specifications that our production team will follow. We will never start production on an order until we receive your approval.
Once approval is received, a first run sample is made. With limited exceptions, we will render a pre-production sample for your order. We will send you a high-resolution photo of the sample and give you the option to either come in and approve it in person, or have it shipped to you. We do this to make sure that we exceed your expectations on every order you place with us. We highly recommend you approve a physical sample, however, if for any reason you wish to approve your sample based solely on the photo we send, we are happy to move forward as soon as you give us the okay. Rush orders notwithstanding, turnaround time will start once sample approval is confirmed.
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If you have any questions about the order process here at BCCO NYC please feel free to give us a call!
While it is our business to do everything we can to remain one of the finest print shops in the tri-state area, we also take our corporate social responsibility very seriously. As a responsible company we do everything we can to give back to the community.
As is stated in our terms and conditions ” BCCO NYC is not responsible for items left on our premises for more than 45 days. After this period of time, unclaimed goods are subject to donation.”
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Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Sea bass simply fried to crisp the skin, served with a rich mussel and white wine sauce with a pinch of saffron - sure to impress!
Clean the mussels well and pull of any beards. Discard any that have broken shells. Discard any open mussels that do not close when given a sharp tap.
In a large pan with a lid, heat a little butter. Gently fry half the shallot and the thyme until softened.
Add the mussels and white wine and cover with a lid. Shake the pan regularly to ensure the all mussels cook.
Strain the mussels making sure you retain all the cooking liquid for the sauce. Discard any mussels that have not opened.
Pick the cooked mussels out of the open shells and reserve.
Blanch the tomatoes in boiling water, refresh in iced water and peel. Remove the seeds and dice neatly.
Heat a little of the butter in a clean saucepan and gently cook the remaining shallot until soft and transparent. Add the fennel and a pinch of saffron.
Add the mussel cooking liquor, bring to the boil and cook to reduce in volume until thickened. Stir in the cream and the remaining butter.
Add the samphire, mussels and diced tomatoes and season to taste with salt and pepper. Cook for 2-3 minutes until the samphire is tender.
In a non-stick pan, heat a little oil. Season the fish on the skin-side only, place in the pan skin-side down and cook over a low/medium heat for five minutes until it is almost cooked through. Season it on the flesh side and turn it over (the skin should be nice and crisp) and cook for a further minute.
To serve, place the sauce on the plate with the fish on top and garnish with the micro fennel.


Before and after
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After
I changed it because I thought the blue blended too much with the white, so you couldn't see the text
Before
After
I changed it because it looked unformatted and the link looked terrible
Before
After
I changed it because it looked unformatted, and it wasn't really proper for a legal page.
My Website Plan


Shanghai
Tokyo
Sydney
Honiara
Auckland
Apia
Honolulu
Taiohae
Rikitea
Adamstown
Vancouver
Calgary
Houston
Ottawa
Rio de Janeiro
St. John's
King Edward Point
Praia
Conakry
London
Paris
Moscow
Yerevan
Tehran
Karachi
Mumbai
Dhaka
Yangon
Bangkok
Shanghai Image:
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Sydney Image:
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Author: Kahunapule Michael Johnson
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Calgary Image:
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Saracens fined for skipping Champions Cup season launch
Saracens have been hit with another fine a day after they agreed not to appeal against a £5.36million punishment for salary-cap breaches.
Sarries have been penalised for breaching the 2019-20 Heineken Champions Cup participation agreement by not making required club representatives available for a key European Professional Club Rugby promotional event.
EPCR has fined the reigning Heineken Champions Cup holders an undisclosed sum, and confirmed it has already been paid by the club.
Saracens on Monday agreed "with humility" to accept a 35-point deduction and significant fine for breaches across a three-season period, up to and including the 2018-19 campaign, following a nine-month investigation by Premiership Rugby.
This latest episode adds to Saracens' ongoing embarrassment.
Director of rugby Mark McCall and captain Brad Barritt had been scheduled to attend the official season launch of the 2019-20 Champions Cup and Challenge Cup for Premiership and PRO14 clubs, staged at Cardiff's Principality Stadium on November 6.
But an EPCR statement read: "Having previously indicated that they would be represented at the event, Saracens' failure to attend constituted a breach of the 2019-20 Heineken Champions Cup media rules, and compromised EPCR's ability to deliver the rights contracted to its broadcast, commercial and media partners."
The statement added: "In light of this breach of its rules, EPCR has decided to impose a fine on Saracens which has been paid by the club, and the sum of which will remain undisclosed.
"EPCR appreciates the subsequent efforts made by Saracens to grant rights-holding broadcasters special interview access to members of their Heineken Champions Cup squad in the week before the start of the tournament."
The club – 26 points adrift at the foot of the Premiership on -22points – began their Champions Cup defence with a comprehensive 30-10 defeat at Racing 92 on Sunday.
body check tags ::


Events attach mode:
Direct
addEventListener
attachEvent
auto
Events to monitor:
mouseover
mousemove
mouseout
mouseup
mousedown
click
dblclick
contextmenu
beforeactivate
activate
focus
focusin
focusout
blur
change
deactivate
input
keydown
keypress
keyup
Div
Span
opt one
opt two
opt one
opt two
opt three
opt four
opt five
opt six
opt seven
opt one multi
opt two multi
opt three multi
Link
|
|
keyCode
charCode
cancelBubble
clientX
clientY
pageX
pageY
screenX
screenY
shiftKey
ctrlKey
el.checked
textbox value
e.button
e.which
e.type
e.detail
el.value
e.bubbles
e.keyIdentifier


package
crf
Type Members
-
case class
Attr(id:
Int,
name:
String,
isNumerical:
Boolean =
false)
extends
Product
with
Serializable
-
case class
AttrFeature(id:
Int,
attrId:
Int,
label:
Int)
extends
Product
with
Serializable
-
case class
AttrStat(frequency:
Int,
sum:
Float)
extends
Product
with
Serializable
-
-
case class
CrfParams(minEpochs:
Int =
10,
maxEpochs:
Int =
1000,
l2:
Float =
1f,
c0: Int =
1500000,
lossEps:
Float =
1e-4f,
randomSeed:
Option[Int] =
None,
verbose:
nlp.annotators.ner.Verbose.Value
=
Verbose.Silent)
extends
Product
with
Serializable
-
-
-
-
case class
Instance(items:
Seq[SparseArray])
extends
Product
with
Serializable
-
case class
InstanceLabels(labels:
Seq[Int])
extends
Product
with
Serializable
-
-
-
-
-
-
-
case class
TextSentenceAttrs(words:
Seq[WordAttrs])
extends
Product
with
Serializable
-
case class
TextSentenceLabels(labels:
Seq[String])
extends
Product
with
Serializable
-
case class
Transition(stateFrom:
Int,
stateTo:
Int)
extends
Product
with
Serializable
-
case class
WordAttrs(strAttrs:
Seq[(String,
String)],
numAttrs:
Array[Float] = Array.empty)
extends
Product
with
Serializable
Hyper Parameters and Setting for LinearChainCrf training
- Minimum number of epochs to train
- Maximum number of epochs to train
- l2 regularization coefficient
- Initial number of steps in decay strategy
- If loss after a SGD epochs haven't improved (absolutely) more than lossEps, then training is stopped
- Seed for random
- Level of verbosity during training procedure


There are also a variety of attributes that can be added to HTML to further enchance the web page. The "a href" tag is used to link other webpages to yours. It can be used to link sites like Reddit or CNN. Images can also be added using the "img" tag.
Note: the use of img tags do not require a closing tag. You can also use Google as a resource to add links in HTML since it's impossible to remember everything!
**Inline tags behave differently from Block tags; Block elements can add height and width to a web page.
Element - an HTML element refers to everything within a set of opening and closing tags.
Attribute - this is a property of an HTML element (i.e. - to set the HREF attribute of an anchor tag to the Udacity URL you would write a href="http://www.udacity.com")


If I have 6 pizzas and share them equally among two people. How many slices will each person get?
Enter a number and see if it can be divided by 2, 3 or 4


|
Bitstream Interpretation Library (BIL)
0.1
|
A simple XML stream writer. More...
#include <util/XMLWriter.hpp>
Public Member Functions | |
| XMLWriter (std::ostream &os, size_t baseIndent=0, size_t levelIndent=2) | |
| Creates a new XMLWriter instance. | |
| void | beginElement (const std::string &name, bool newLine=true) |
| Begins a new element. | |
| void | endElement (bool newLine=true) |
| Ends the current element. | |
| void | addAttribute (const std::string &name, const std::string &value) |
| Adds an string attribute to the current opening tag. | |
| void | addAttribute (const std::string &name, unsigned value) |
| Adds an unsigned attribute to the current opening tag. | |
| void | addData (const std::string &data, bool newLine=true) |
| Adds data into the current element. | |
| void | addProcessingInstruction (const std::string &target, const std::string &instruction, bool newLine=true) |
| Adds a processing instruction element. | |
| size_t | depth () const |
| Gets the current element depth. | |
| std::string | element () const |
| Gets the current element name. |
A simple XML stream writer.
This XML writer is for simple and fast writing of XML data. It is initialized over an output stream, which is used for all writing. Because it writes directly to the stream, no data (except the tag hierarchy stack) is cached and it is possible to write even very large files with almost no memory consumption. It also ensures syntactic correctness of generated XML data: When tags are closed, they get the the right tag name (through tracking of the hierarchy levels and names). Every XML element has its own writing functions: If syntactical correct tag/attribute names and data are given, the output will also be correct. Also indentation will be done automatically.
Definition at line 32 of file XMLWriter.hpp.
|
explicit |
Creates a new XMLWriter instance.
| os | The stream to use for XML output. |
| baseIndent | Number of space chars to prepend every line. |
| levelIndent | Number of space chars to insert for every level. |
Definition at line 25 of file XMLWriter.cpp.
| void XMLWriter::beginElement | ( | const std::string & | name, |
| bool | newLine = true |
||
| ) |
Begins a new element.
Writes the start of an opening tag. The opening tag is not finished, because attributes (via addAttribute()) may follow. When the methods beginElement(), endElement(), addData(), and addProcessingInstruction() will later be called, the opening tag will automatically be finished.
| name | Name of element to begin. |
| newLine | Specifies if a line break should be inserted before. |
Definition at line 39 of file XMLWriter.cpp.
| void XMLWriter::endElement | ( | bool | newLine = true | ) |
Ends the current element.
If the current element has no content, no separate ending tag is created. Instead, the opening tag is finished with an empty element marker.
| . |
Definition at line 58 of file XMLWriter.cpp.
| void XMLWriter::addAttribute | ( | const std::string & | name, |
| const std::string & | value | ||
| ) |
Adds an string attribute to the current opening tag.
Because attributes can only be placed inside an opening tag, addAttribute() can only be called directly after beginElement() or addAttribute().
| name | The attribute name. |
| value | The attribute value. |
| . |
Definition at line 84 of file XMLWriter.cpp.
| void XMLWriter::addAttribute | ( | const std::string & | name, |
| unsigned | value | ||
| ) |
Adds an unsigned attribute to the current opening tag.
Because attributes can only be placed inside an opening tag, addAttribute() can only be called directly after beginElement() or addAttribute().
| name | The attribute name. |
| value | The attribute value. |
| . |
Definition at line 93 of file XMLWriter.cpp.
| void XMLWriter::addData | ( | const std::string & | data, |
| bool | newLine = true |
||
| ) |
Adds data into the current element.
Because data can only be placed inside an element, addData() can be only called directly after beginElement() or addAttribute(), thereby closing the beginning tag.
| data | The data. |
| newLine | Specifies if a line break should be inserted before. |
| . |
Definition at line 102 of file XMLWriter.cpp.
| void XMLWriter::addProcessingInstruction | ( | const std::string & | target, |
| const std::string & | instruction, | ||
| bool | newLine = true |
||
| ) |
Adds a processing instruction element.
| target | Target of the processing instruction. |
| newLine | Specifies if a line break should be inserted before. |
| instruction | The instruction. |
Definition at line 116 of file XMLWriter.cpp.
| size_t XMLWriter::depth | ( | ) | const |
Gets the current element depth.
Definition at line 130 of file XMLWriter.cpp.
| std::string XMLWriter::element | ( | ) | const |
Gets the current element name.
Definition at line 136 of file XMLWriter.cpp.


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Responding to a clear education and employment gap of urban youth in the S.T.E.M. disciplines, the 4th Family co-founders came together to connected youth with the opportunity and motivation to seek further education and potential career in a S.T.E.M. field. The program is led by S.T.E.M. Director John Drazan, who has a Ph.D in biomedical engineering. On site programs in capital region schools are given academic rigor by Drazan, and delivered by Hoke, Scott, and volunteers who know the power of overcoming hardship through S.T.E.M.
The focus of the program is to provide concrete, accessible STEM material through hands on seminars and mentoring programs. In partnership with ESPN, NBA, NBA Cares, Adidas, FIFA, Google, and National Orthopedics Association, 4th Family STEM programs have trained over 100 students who have in turn presented to over 5,000 students around New York State, while sending more than 20 students to college with a focus in STEM.
4th Family’s STEM work has been presented at national and international conferences at the both the national and international levels. The work of the 4th Family STEM program has been presented at technical and educational conferences around the world including, Orlando, Syracuse, San Francisco, Boston, Chicago, Las Vegas, and Milan, Italy.


Baseball Scout
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Predicted Stats and Salaries of Pitchers
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We are global Cloud Communication and IT services company incorporated in 2017. Our vision is to simplify communication for all. We have helped many enterprises achieve great results with minimal investment.
Our vision does not end there.
With that, we are excited to present HolidaySIMcards. Simplicity has always been our philosophy. So, insert one of our sim cards into your phone on your next Holiday, and surf away!
No more Wi-Fi router… Connect up to 254 devices using your Smartphone!
WIFI Router rental usually attracts IDR 500,000 for deposit, that’s the cost of 2 or more SIM cards from us!
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1.5 GB
60 minutes outgoing local call and free incoming
15 Days


Theory
The BVAE (short for Bimodal Variational AutoEncoder) is a neural network comprised of two variational autoencoders with a shared latent space.
It's design is largely derived from A Neural Framework for Retrieval and Summarization of Source Code by Qingying Chen and Minghui Zhou, which can be read here
An Examination of the Task at Hand
The BVAE attempts to perform well at two tasks, code retrieval and code summarization. At the outset, those might seem like two somewhat unrelated tasks; however, at further consideration we can see how intuitively these tasks are two sides of the same coin. Summarization attempts to take code and somehow transform it into a small segment of natural language, while Retrieval attempts to take a small segment of natural and rate/retrieve a code snippet based on that.
Thus, we reach the BVAE. To give a high-level overview, the BVAE attempts to learn to create a common encoding (the "latent representation") for source code and corresponding natural language strings, such that a code snippet should have a very similar latent representation to natural language which corresponds to it and vice versa.
In order to properly learn this latent representation the BVAE needs an encoder and a decoder for source code and a similar pair for natural language. This results in two semi-distinct neural networks which use KL-divergence loss to keep their latent representations similar, as pictured below.
A Note on Baselines
Though the details concerning our baselines are covered in the implementation section, here's a brief overview of the idea behind their designs:
RET-IR turns the query, as well as all natural language summaries in the database, into vectors using a special scoring method for each word in the string. Once all natural language segments are represented as vectors, they can be compared via Cosine Similarity, a common comparison metric for vectors, giving us our ordered ranking.
IR uses common alignment techniques, namely Levenshtein Distance (commonly known as Edit Distance), to compare the code segment to all summaries in the dataset, finding and retrieving the closest one to use as the summary.
This diagram lays out the basics of the BVAE's structure. As discussed, two encoder-decoder pairs each make up their own neural network, the two only being tied together once we introduce KL Divergence Loss. For now, this basic structure shows both summaries and snippets being encoded to and decoded from a latent representation. Below, we show how specific tasks are performed.
Now, all neural net models need loss in order to learn, and this particular model uses two kinds of loss. Loss is herein calculated both through comparison of decoded summaries/code snippets to their original versions that were encoded (Reconstruction Loss) as well as comparison of the latent representations of encoded code/summary pairs (KL Divergence Loss). Through inclusion of both of these loss metrics, the model can sufficiently learn encoding methods that can correctly decode into either input format. Again, technical details on this functionality are given in the implementation section.
Retrieval is performed fairly simply once the model is set up: First, encode the entered query into its latent representation. Then compare that latent representation to the latent representations of all code snippets in your database, and find and return the code corresponding to the most similar one.
Summarization is even more straightforward: Encode the entered code snippet to its latent representation, then decode that latent representation as natural language. On the implementation end this will become a good bit more complicated, but from an abstract view this task is relatively simple.


ABOUT MY SELF
Standing on the River Thames, London has been a major settlement for two millennia, its history going back to its founding by the Romans, who named it
Standing on the River Thames, London has been a major settlement for two millennia, its history going back to its founding by the Romans, who named it


Products Description
Vermicompost
Why the soil should be fertilized There are many types of land, for example red soil, sandy soil, rocky soil and calcareous soils. Creatures are more problematic to live in any soil. Cultivation of crops means that the land must survive and crops must be grown on the surviving land. Soil survival means the photosynthesis of microorganisms living in the soil, which means that plants need organic matter to contain the bacteria that can be used to make food through metabolism. In most troubled parts of the world there is a shortage of this organic matter, in such areas there is a need to cultivate crops that contain organic matter vermicompost. Uses of making vermicompost: 1) The main objective is to compost the ecological, livestock waste and decomposing material without wasting it anywhere. 2) Income generation and employment creation factor 3)The surroundings are kept clean by using all the garbage to make vermicompost. An important vermicompost preparation process: Earthworm manure can be fertilized faster with the help of earthworms such as non-borrowed Eisenia fetida and Eudrilides. The process is environmentally friendly, without harming the environment. Burning and incineration of waste products into the sea, rivers, and canals releases hazardous carbon dioxide, carbon monoxide gases, and some toxic gases into the environment. Safe waste disposal is the cycle of turning leaves, plants and plants back into waste, consuming then, converting them into energy, converting them into organic manure and using them to grow the same plants. Reaching the land where a plant, leaf, or fruit originated from an earth is a cycle of safe waste disposal. Vermicompost can be very useful in stopping the process as it is a nuisance for nature to burn waste incorrectly, bury their seas ashes and put them in plastic covers wherever they can be disposed of. This vermicompost is for whole food plants with all kinds of nutrients at 6.5 pH that can be easily and in the form of odorless pellets. **Our product is exclusively made from cow and buffalo dung**


A class for representing clusters in hierarchical clustering trees. More...
#include </Users/mirta/Desktop/sigma/src/cluster.h>
Public Member Functions | |
| Cluster (Contig *contig) | |
| Constructs a singleton cluster. More... | |
| Cluster (Cluster *child1, Cluster *child2) | |
| Constructs a cluster node. More... | |
| ~Cluster () | |
| Contig ** | contigs () const |
| Getter for contigs belonging to this cluster. More... | |
| int | num_contigs () const |
| Getter for number of contigs belonging to this cluster. More... | |
| int | length () const |
| Getter for total length of contigs belonging to this cluster. More... | |
| int * | sum_read_counts () const |
| Getter for sum of read counts for all samples. More... | |
| double * | arrival_rates () const |
| Getter for arrival rates for all samples. More... | |
| Cluster * | child1 () const |
| Getter for left child. More... | |
| Cluster * | child2 () const |
| Getter for right child. More... | |
| double | score () const |
| Getter for score. More... | |
| double | model_score () const |
| Getter for model score. More... | |
| bool | modeled () const |
| Tests whether the model is computed. More... | |
| bool | connected () const |
| Tests whether this cluster is connected. More... | |
| void | set_contigs (Contig **contigs) |
| Setter for contigs belonging to this cluster. More... | |
| void | set_score (double score) |
| Setter for score. More... | |
| void | set_model_score (double model_score) |
| Setter for model score. More... | |
| void | set_modeled (bool modeled) |
| Sets a flag which indicates whether the model is computed. More... | |
| void | set_connected (bool connected) |
| Sets a flag which indicates whether this cluster is connected. More... | |
Private Attributes | |
| Contig ** | contigs_ |
| int | num_contigs_ |
| int | length_ |
| int * | sum_read_counts_ |
| double * | arrival_rates_ |
| Cluster * | child1_ |
| Cluster * | child2_ |
| double | score_ |
| double | model_score_ |
| bool | modeled_ |
| bool | connected_ |
A class for representing clusters in hierarchical clustering trees.
Represents clusters in hierarchical clustering trees.
| Cluster::Cluster | ( | Contig * | contig | ) |
Constructs a singleton cluster.
| contig | contig |
Constructs a cluster node.
| child1 | left child |
| child2 | right child |
| Cluster::~Cluster | ( | ) |
Default destructor.
| double * Cluster::arrival_rates | ( | ) | const |
Getter for arrival rates for all samples.
| Cluster * Cluster::child1 | ( | ) | const |
Getter for left child.
| Cluster * Cluster::child2 | ( | ) | const |
Getter for right child.
| bool Cluster::connected | ( | ) | const |
Tests whether this cluster is connected.
| Contig ** Cluster::contigs | ( | ) | const |
Getter for contigs belonging to this cluster.
| int Cluster::length | ( | ) | const |
Getter for total length of contigs belonging to this cluster.
| double Cluster::model_score | ( | ) | const |
Getter for model score.
| bool Cluster::modeled | ( | ) | const |
Tests whether the model is computed.
| int Cluster::num_contigs | ( | ) | const |
Getter for number of contigs belonging to this cluster.
| double Cluster::score | ( | ) | const |
Getter for score.
| void Cluster::set_connected | ( | bool | connected | ) |
Sets a flag which indicates whether this cluster is connected.
| connected | true/false |
| void Cluster::set_contigs | ( | Contig ** | contigs | ) |
Setter for contigs belonging to this cluster.
| contigs | contigs belonging to this cluster |
| void Cluster::set_model_score | ( | double | model_score | ) |
Setter for model score.
| model_score | model score |
| void Cluster::set_modeled | ( | bool | modeled | ) |
Sets a flag which indicates whether the model is computed.
| modeled | true/false |
| void Cluster::set_score | ( | double | score | ) |
Setter for score.
| score | score |
| int * Cluster::sum_read_counts | ( | ) | const |
Getter for sum of read counts for all samples.
|
private |
Arrival rates for all samples.
|
private |
Left child.
|
private |
Right child.
|
private |
A flag which indicates whether this cluster is connected.
|
private |
Contigs belonging to this cluster.
|
private |
Total length of contigs belonging to this cluster.
|
private |
Model score.
|
private |
A flag which indicates whether the model is computed.
|
private |
Number of contigs belonging to this cluster.
|
private |
Score.
|
private |
Sum of read counts for all samples.


operator fun set(ifield: InstructionField, value: Int): Unit
Sets an instruction field to the given value.
ifield - the instruction field to set
ifield
value - the value to set the field to
value


|
| #define | WARN_ASYNC_LOAD_ONGOING "Async load operation ongoing while object is being destroyed for %s" |
| |
| #define | WARN_REF_CNT "Reference counter is %u while object is being destroyed for %s" |
| |
| #define | WARN_REF_CNT_ZERO "Reference counter already 0, can't be decreaed, for %s" |
| |
| #define | DEBUG_OBJ_LOADING "Async load starting for %s from %s" |
| |
| #define | DEBUG_OBJ_LOADED "Async load succeeded for %s from %s" |
| |
| #define | DEBUG_OBJ_UNLOADED "Object %s / %s unloaded" |
| |
| #define | ERR_OBJ_OBJ_NOT_FOUND "Async load for %s: CSLObj in CSLModel object not found!" |
| |
| #define | ERR_OBJ_NOT_FOUND "Async load for %s: CSLModel object not found!" |
| |
| #define | ERR_OBJ_NOT_LOADED "Async load FAILED for %s from %s" |
| |
| #define | XSB_AIRCRAFT_TXT "xsb_aircraft.txt" |
| | The file holding package information. More...
|
| |
| #define | DEBUG_XSBACTXT_READ "Processing %s" |
| |
| #define | INFO_XSBACTXT_DONE "Read %3d aircraft %s from %s" |
| |
| #define | WARN_XSBACTXT_IGNORED "Ignored %d aircraft %s due to outdated format (OBJECT or AIRCRAFT) from %s" |
| |
| #define | INFO_TOTAL_NUM_MODELS "Total number of known models now is %lu" |
| |
| #define | WARN_NO_XSBACTXT_FOUND "No xsb_aircraft.txt found" |
| |
| #define | WARN_DUP_PKG_NAME "Package name (EXPORT_NAME) '%s' in folder '%s' is already in use by '%s'" |
| |
| #define | WARN_DUP_MODEL "Duplicate model '%s', additional definitions ignored, originally defined in line %d of %s" |
| |
| #define | WARN_OBJ8_ONLY "Line %d: Only supported format is OBJ8, ignoring model definition %s" |
| |
| #define | WARN_PKG_DPDCY_FAILED "Line %d: Dependent package '%s' not known! May lead to follow-up issues when proessing this package." |
| |
| #define | WARN_DIFF_TYPE "Line %d: Different aircraft type (%s instead of %s) for model '%s' ignored, rest processed" |
| |
| #define | ERR_TOO_FEW_PARAM "Line %d: %s expects at least %d parameters" |
| |
| #define | ERR_PKG_NAME_INVALID "Line %d: Package path invalid: %s" |
| |
| #define | ERR_PKG_UNKNOWN "Line %d: Package '%s' unknown in package path %s" |
| |
| #define | ERR_OBJ_FILE_NOT_FOUND "Line %d: The file '%s' could not be found at %s" |
| |
| #define | ERR_COULD_NOT_OPEN "Could not open '%s' for reading!" |
| |
| #define | WARN_IGNORED_COMMANDS "Following commands ignored: " |
| |
| #define | WARN_OBJ8_ONLY_VERTOFS "Version is '%s', unsupported for reading vertical offset, file %s" |
| |
| #define | ERR_MATCH_NO_MODELS "MATCH ABORTED - There is not any single CSL model available!" |
| |
| #define | DEBUG_MATCH_INPUT "MATCH INPUT: Type=%s (WTC=%s,Class=%s,Related=%d), Airline=%s, Livery=%s" |
| |
| #define | DEBUG_MATCH_FOUND "MATCH FOUND: Type=%s (WTC=%s,Class=%s,Related=%d), Airline=%s, Livery=%s / Quality = %d -> %s" |
| |
| #define | DEBUG_MATCH_NOTFOUND "MATCH ERROR: Using a RANDOM model: %s %s %s - model %s" |
| |
|
| std::string | XPMP2::CSLModelGetKeyStr (int _related, const std::string &_type, const std::string &_id) |
| |
| std::string | XPMP2::CSLModelsConvPackagePath (const std::string &pkgPath, int lnNr, bool bPkgOptional=false) |
| | Turn a relative package path into a full path. More...
|
| |
| void | XPMP2::CSLModelsAdd (CSLModel &_csl) |
| | Adds a readily defined CSL model to all the necessary maps, resets passed-in reference. More...
|
| |
| const char * | XPMP2::CSLModelsReadPkgId (const std::string &path) |
| | Scans an xsb_aircraft.txt file for EXPORT_NAME entries to fill the list of packages. More...
|
| |
| const char * | XPMP2::CSLModelsFindPkgs (const std::string &_path, std::vector< std::string > &paths, int _maxDepth=5) |
| | Recursively scans folders to find xsb_aircraft.txt files of CSL packages. More...
|
| |
| void | XPMP2::AcTxtLine_DEPENDENCY (std::vector< std::string > &tokens, int lnNr) |
| | Process an DEPENDENCY line of an xsb_aircraft.txt file. More...
|
| |
| void | XPMP2::AcTxtLine_OBJ8_AIRCRAFT (CSLModel &csl, const std::string &ln, const std::string &xsbAircraftPath, const std::string &exportName, int lnNr) |
| | Process an OBJ8_AIRCRAFT line of an xsb_aircraft.txt file. More...
|
| |
| void | XPMP2::AcTxtLine_OBJECT_AIRCRAFT (CSLModel &csl, const std::string &, int) |
| | Process an OBJECT or AIRCRAFT line of an xsb_aircraft.txt file (which are no longer supported) More...
|
| |
| void | XPMP2::AcTxtLine_OBJ8 (CSLModel &csl, std::vector< std::string > &tokens, int lnNr) |
| |
| void | XPMP2::AcTxtLine_VERT_OFFSET (CSLModel &csl, std::vector< std::string > &tokens, int lnNr) |
| | Process an VERT_OFFSET line of an xsb_aircraft.txt file. More...
|
| |
| void | XPMP2::AcTxtLine_OFFSET (CSLModel &csl, std::vector< std::string > &tokens, int lnNr) |
| |
| void | XPMP2::AcTxtLine_MATCHES (CSLModel &csl, std::vector< std::string > &tokens, int lnNr) |
| | Process an ICAO, AIRLINE, LIVERY, or MATCHES line of an xsb_aircraft.txt file. More...
|
| |
| int | XPMP2::StrCntString (const mapStrIntTy &m, std::string &s) |
| | Compiles a string from a map of string->int like "(A320 x 5, A388 x 12)". More...
|
| |
| const char * | XPMP2::CSLModelsProcessAcFile (const std::string &path) |
| | Process one xsb_aircraft.txt file for importing OBJ8 models. More...
|
| |
| void | XPMP2::CSLModelsInit () |
| | Initialization. More...
|
| |
| void | XPMP2::CSLModelsCleanup () |
| | Grace cleanup. More...
|
| |
| const char * | XPMP2::CSLModelsLoad (const std::string &_path, int _maxDepth=5) |
| | Read the CSL Models found in the given path and below. More...
|
| |
| CSLModel * | XPMP2::CSLModelById (const std::string &_cslId, mapCSLModelTy::iterator *_pOutIter=nullptr) |
| | Find a model by unique id. More...
|
| |
| CSLModel * | XPMP2::CSLModelByKey (const std::string &_cslKey, mapCSLModelTy::iterator *_pOutIter=nullptr) |
| | Find a model by (even more) unique key. More...
|
| |
| CSLModel * | XPMP2::CSLModelByPkgShortId (std::uint16_t _pkgHash, const std::string &_shortId) |
| | Find a model by package name hash and short id. More...
|
| |
| template<class IteratorT > |
| IteratorT | XPMP2::iterRnd (IteratorT lower, IteratorT upper) |
| | Returns any random value in the range [cslLower; cslUpper) , or upper if there is no value in that range. More...
|
| |
| bool | XPMP2::CSLFindMatch (const std::string &_type, const std::string &_airline, const std::string &_livery, bool bIgnoreNoMatch, int &quality, CSLModel *&pModel) |
| | Tries finding a match using both aircraft and Doc8643 attributes. More...
|
| |
| int | XPMP2::CSLModelMatching (const std::string &_type, const std::string &_airline, const std::string &_livery, CSLModel *&pModel) |
| | Find a matching model. More...
|
| |
Managing CSL Models, including matching and loading.
- Author
- Birger Hoppe
- Copyright
- (c) 2020 Birger Hoppe
-
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


| Package | org.igniterealtime.xiff.data |
| Class | public class Presence |
| Inheritance | Presence XMPPStanza XMLStanza ExtensionContainer |
| Implements | ISerializable |
| Property | Defined by | ||
|---|---|---|---|
| errorCode : int
The error code, assuming this stanza contains error information.
| XMPPStanza | ||
| errorCondition : String
The error condition, assuming this stanza contains error information.
| XMPPStanza | ||
| errorMessage : String
The error message, assuming this stanza contains error information.
| XMPPStanza | ||
| errorType : String
The error type, assuming this stanza contains error information.
| XMPPStanza | ||
| _exts : Object | ExtensionContainer | ||
| from : EscapedJID
The JID of the sender.
| XMPPStanza | ||
| id : String
The unique identifier of this stanza.
| XMPPStanza | ||
| priority : int
The priority of the presence, usually on a scale of 1-5.
| Presence | ||
| show : String
The show value; away, online, etc.
| Presence | ||
| status : String
The status; usually used for "away messages."
| Presence | ||
| to : EscapedJID
The JID of the recipient.
| XMPPStanza | ||
| type : String
The stanza type.
| XMPPStanza | ||
| XMLData : XML [static]
| XMLStanza | ||
| XMLFactory : XMLDocument [static]
| XMLStanza |
| Method | Defined by | ||
|---|---|---|---|
|
Presence(recipient:EscapedJID = null, sender:EscapedJID = null, presenceType:String = null, showVal:String = null, statusVal:String = null, priorityVal:int = 0)
| Presence | ||
| ExtensionContainer | |||
|
addTextNode(parent:XMLNode, elementName:String, value:String):XMLNode
Adds a simple text node to the parent node specified.
| XMLStanza | ||
|
deserialize(xmlNode:XMLNode):Boolean
Deserializes an XML object and populates the Presence instance with its data.
| Presence | ||
|
ensureNode(node:XMLNode, elementName:String):XMLNode
Ensures that a node with a specific element name exists in the stanza.
| XMLStanza | ||
|
exists(value:*):Boolean
[static]
A helper method to determine if a value is both not null
and not undefined.
| XMLStanza | ||
|
generateID(prefix:String):String
[static]
(Static method) Generates a unique ID for the stanza.
| XMPPStanza | ||
|
getAllExtensions():Array
| ExtensionContainer | ||
|
getAllExtensionsByNS(ns:String):Array
| ExtensionContainer | ||
|
getExtension(name:String):Extension
| ExtensionContainer | ||
|
getNode():XMLNode
| XMLStanza | ||
|
removeAllExtensions(ns:String):void
| ExtensionContainer | ||
|
removeExtension(ext:IExtension):Boolean
| ExtensionContainer | ||
|
replaceTextNode(parent:XMLNode, original:XMLNode, elementName:String, value:String):XMLNode
Replaces one node in the stanza with another simple text node.
| XMLStanza | ||
|
serialize(parentNode:XMLNode):Boolean
Serializes the Presence into XML form for sending to a server.
| Presence | ||
|
setIDGenerator(generator:IIDGenerator):void
[static]
(Static method) Sets the ID generator for this stanza type.
| XMPPStanza | ||
|
setNode(node:XMLNode):Boolean
Sets the XML node that should be used for this stanza's internal XML representation.
| XMLStanza |
| Constant | Defined by | ||
|---|---|---|---|
| CLIENT_NAMESPACE : String = "jabber:client" [static]
| XMPPStanza | ||
| CLIENT_VERSION : String = "1.0" [static]
The version of XMPP specified in RFC 3920 is "1.0"; in particular, this
encapsulates the stream-related protocols (Use of TLS (Section 5),
Use of SASL (Section 6), and Stream Errors (Section 4.7)), as well as
the semantics of the three defined XML stanza types (
| XMPPStanza | ||
| NAMESPACE_FLASH : String = "http://www.jabber.com/streams/flash" [static]
| XMPPStanza | ||
| NAMESPACE_STREAM : String = "http://etherx.jabber.org/streams" [static]
| XMPPStanza | ||
| SHOW_AWAY : String = "away" [static]
The entity or resource is temporarily away.
| Presence | ||
| SHOW_CHAT : String = "chat" [static]
The entity or resource is actively interested in chatting.
| Presence | ||
| SHOW_DND : String = "dnd" [static]
The entity or resource is busy (dnd = "Do Not Disturb").
| Presence | ||
| SHOW_XA : String = "xa" [static]
The entity or resource is away for an extended period (xa = "eXtended Away").
| Presence | ||
| TYPE_ERROR : String = "error" [static]
An error has occurred regarding processing of a
previously-sent presence stanza; if the presence stanza is of type
"error", it MUST include an error child element.
| Presence | ||
| TYPE_PROBE : String = "probe" [static]
A request for an entity's current presence; SHOULD be
generated only by a server on behalf of a user.
| Presence | ||
| TYPE_SUBSCRIBE : String = "subscribe" [static]
The sender wishes to subscribe to the recipient's
presence.
| Presence | ||
| TYPE_SUBSCRIBED : String = "subscribed" [static]
The sender has allowed the recipient to receive their presence.
| Presence | ||
| TYPE_UNAVAILABLE : String = "unavailable" [static]
Signals that the entity is no longer available for communication.
| Presence | ||
| TYPE_UNSUBSCRIBE : String = "unsubscribe" [static]
The sender is unsubscribing from the receiver's presence.
| Presence | ||
| TYPE_UNSUBSCRIBED : String = "unsubscribed" [static]
The subscription request has been denied or a
previously-granted subscription has been cancelled.
| Presence | ||
| XML_LANG : String = "en" [static]
| XMPPStanza |
| priority | property |
priority:int
[read-write]The priority of the presence, usually on a scale of 1-5. RFC: "The value MUST be an integer between -128 and +127"
Implementation public function get priority():int
public function set priority(value:int):void
| show | property |
show:String
[read-write]The show value; away, online, etc. There are predefined static variables in the Presence class for this:
public function get show():String
public function set show(value:String):void
| status | property |
status:String
[read-write]The status; usually used for "away messages."
Implementation public function get status():String
public function set status(value:String):void
| Presence | () | constructor |
public function Presence(recipient:EscapedJID = null, sender:EscapedJID = null, presenceType:String = null, showVal:String = null, statusVal:String = null, priorityVal:int = 0)
Parameters
recipient:EscapedJID (default = null ) — The recipient of the presence, usually in the form of a JID.
|
|
sender:EscapedJID (default = null ) — The sender of the presence, usually in the form of a JID.
|
|
presenceType:String (default = null ) — The type of presence as a string. There are predefined static variables for
|
|
showVal:String (default = null ) — What to show for this presence (away, online, etc.) There are predefined static variables for
|
|
statusVal:String (default = null ) — The status; usually used for the "away message."
|
|
priorityVal:int (default = 0 ) — The priority of this presence; usually on a scale of 1-5.
|
| deserialize | () | method |
public override function deserialize(xmlNode:XMLNode):Boolean
Deserializes an XML object and populates the Presence instance with its data.
ParametersxmlNode:XMLNode — The XML to deserialize
|
Boolean — An indication as to whether deserialization was sucessful
|
| serialize | () | method |
public override function serialize(parentNode:XMLNode):Boolean
Serializes the Presence into XML form for sending to a server.
ParametersparentNode:XMLNode |
Boolean — An indication as to whether serialization was successful
|
| SHOW_AWAY | constant |
public static const SHOW_AWAY:String = "away"
The entity or resource is temporarily away.
| SHOW_CHAT | constant |
public static const SHOW_CHAT:String = "chat"
The entity or resource is actively interested in chatting.
| SHOW_DND | constant |
public static const SHOW_DND:String = "dnd"
The entity or resource is busy (dnd = "Do Not Disturb").
| SHOW_XA | constant |
public static const SHOW_XA:String = "xa"
The entity or resource is away for an extended period (xa = "eXtended Away").
| TYPE_ERROR | constant |
public static const TYPE_ERROR:String = "error"
An error has occurred regarding processing of a previously-sent presence stanza; if the presence stanza is of type "error", it MUST include an error child element.
| TYPE_PROBE | constant |
public static const TYPE_PROBE:String = "probe"
A request for an entity's current presence; SHOULD be generated only by a server on behalf of a user.
| TYPE_SUBSCRIBE | constant |
public static const TYPE_SUBSCRIBE:String = "subscribe"
The sender wishes to subscribe to the recipient's presence.
| TYPE_SUBSCRIBED | constant |
public static const TYPE_SUBSCRIBED:String = "subscribed"
The sender has allowed the recipient to receive their presence.
| TYPE_UNAVAILABLE | constant |
public static const TYPE_UNAVAILABLE:String = "unavailable"
Signals that the entity is no longer available for communication.
| TYPE_UNSUBSCRIBE | constant |
public static const TYPE_UNSUBSCRIBE:String = "unsubscribe"
The sender is unsubscribing from the receiver's presence.
| TYPE_UNSUBSCRIBED | constant |
public static const TYPE_UNSUBSCRIBED:String = "unsubscribed"
The subscription request has been denied or a previously-granted subscription has been cancelled.


Uniform random number generator.
More...
#include <ql/math/randomnumbers/mt19937uniformrng.hpp>
|
| static const Size | N = 624 |
| |
| static const Size | M = 397 |
| |
| static const unsigned long | MATRIX_A = 0x9908b0dfUL |
| |
| static const unsigned long | UPPER_MASK =0x80000000UL |
| |
| static const unsigned long | LOWER_MASK =0x7fffffffUL |
| |
Uniform random number generator.
Mersenne Twister random number generator of period 2**19937-1
For more details see http://www.math.keio.ac.jp/matumoto/emt.html
- Tests:
- the correctness of the returned values is tested by checking them against known good results.
- Examples
- GlobalOptimizer.cpp.
Definition at line 41 of file mt19937uniformrng.hpp.
◆ sample_type
◆ MersenneTwisterUniformRng() [1/2]
if the given seed is 0, a random seed will be chosen based on clock()
Definition at line 82 of file mt19937uniformrng.cpp.
◆ MersenneTwisterUniformRng() [2/2]
◆ next()
returns a sample with weight 1.0 containing a random number in the (0.0, 1.0) interval
Definition at line 54 of file mt19937uniformrng.hpp.
◆ nextReal()
◆ nextInt32()
| unsigned long nextInt32 |
( |
| ) |
const |
◆ seedInitialization()
| void seedInitialization |
( |
unsigned long |
seed | ) |
|
|
private |
◆ twist()
◆ mt
◆ mti
◆ MATRIX_A
| const unsigned long MATRIX_A = 0x9908b0dfUL |
|
staticprivate |
◆ UPPER_MASK
| const unsigned long UPPER_MASK =0x80000000UL |
|
staticprivate |
◆ LOWER_MASK
| const unsigned long LOWER_MASK =0x7fffffffUL |
|
staticprivate |


Eyes that follow your mouse across the window!
Create an army of pac men and send them flying!
Track buses in real-time using data from MBTA!


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Monday, May 16th, my university began hosting a “Boot Camp” writing retreat. We have a private dorm room on campus, unlimited snacks (both healthy and unhealthy snacks, woo hoo!), an endless supply of coffee and soda, and the comforting presence of a community of 40 or so fellow writers.
The Boot Camp is two weeks long. We each commit to write at least 4 hours a day, Monday through Friday, for those two weeks. It’s a time to write, revise, struggle, get confused, commiserate, write more, take breaks, and break through.
It’s been awesome. Though tomorrow is the last day. Sad! Here’s what I’ve gotten done:
- My process is rather messy. Each chapter goes through a stage: (1) draft, (2) revised draft, (3) polished draft, (4) submitted to advisor and approved or revised again.
- Chapters 1 and 2 were already at stage (4), approved by advisor.
- Chapter 3 was revised and is now polished.
- Chapter 4 was drafted and is now revised.
- Chapter 5 was drafted and is now revised.
- Chapter 6 was drafted and is now revised.
- Chapter 7 is drafted and I’m revising today and tomorrow.
- After that, I only have one more chapter (plus the conclusion)!
- Then I will go back and polish 4-8. Then I will submit 4-8 one by one to my advisor, and revise some more.
Now back to work…


| Constants' Details |
DIGIT
const long DIGIT = 0x00000001;
- Description
- digit
|
|
UPPER
const long UPPER = 0x00000002;
- Description
- upper case alpha letter
|
|
LOWER
const long LOWER = 0x00000004;
- Description
- lower case alpha letter
|
|
TITLE_CASE
const long TITLE_CASE = 0x00000008;
- Description
- title case alpha letter
|
|
ALPHA
const long ALPHA = 0x0000000E;
- Description
- any alpha, ALPHA = UPPER | LOWER | TITLE_CASE
|
|
CONTROL
const long CONTROL = 0x00000010;
- Description
- control character
|
|
PRINTABLE
const long PRINTABLE = 0x00000020;
- Description
- printable character
|
|
BASE_FORM
const long BASE_FORM = 0x00000040;
- Description
- base form
|
|
LETTER
const long LETTER = 0x00000080;
- Description
- any UnicodeType::..._LETTER.
Note that a LETTER must not necessarily be ALPHA
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Reset Simulation
Draw QuadTree
Draw Vectors
Social Distancing:
None
Moderate
Extensive
Simulation Area


Datasets illustrating the georegulatory framework of the Offshore Petroleum and Greenhouse Gas Storage Act 2006.
An Act about petroleum exploration and recovery, and the injection and storage of greenhouse gas substances, in offshore areas, and for other purposes.


Follow these steps to stub out the implementation and initialize a brokerage instance:
For example, oanda-access-token
and oanda-account-id
keys. These key-value pairs will be used for most local debugging and testing as the default. LEAN automatically copies these pairs to the BrokerageData member of the job packet as a dictionary of <string,string>
pairs.
BrokerageData
member so it uses the Config
class to load all the required configuration settings from the Lean / Launcher / config.json file.For instance, Config.Get("oanda-access-token")
returns the "oanda-access-token"
value from the configuration file. For a full example, see the BrokerageData member in the BitfinexBrokerageFactory
.
In the IBrokerageFactory
examples, you'll see code like Composer.Instance.AddPart<IDataQueueHandler>(dataQueueHandler)
, which adds parts to the Composer. The Composer is a system in LEAN for dynamically loading types. In this case, it's adding an instance of the DataQueueHandler
for the brokerage to the composer. You can think of the Composer as a library and adding parts is like adding books to its collection.
Brokerage models tell LEAN what order types a brokerage supports, whether we're allowed to update an order, and what reality models to use. Use the following stub implementation for now:
namespace QuantConnect.Brokerages { public class BrokerageNameBrokerageModel : DefaultBrokerageModel { } }
where BrokerageName
is the name of your brokerage. For example, if the brokerage name is XYZ, then BrokerageNameBrokerageModel
should be XYZBrokerageModel
. You'll extend this implementation later.
GetBrokerageModel
to return an instance of your new brokerage model.public override IBrokerageModel GetBrokerageModel(IOrderProvider orderProvider) { return new BrokerageNameBrokerageModel(); }
Brokerage
base class for BaseWebsocketsBrokerage
.CreateBrokerage
method to create and return an instance of your new brokerage model without connecting to the brokerage.The Brokerage Factory uses a job packet to create an initialized brokerage instance in the CreateBrokerage
method. Assume the job
argument has the best source of data, not the BrokerageData
property. The BrokerageData
property in the factory are the starting default values from the configuration file, which can be overridden by a runtime job.
live-<brokerageName>
key.These live-<brokerageName>
keys group configuration flags together and override the root configuration values. Use the following key-value pair as a starting point:
// defines the 'live-brokerage-name' environment "live-brokerage-name": { "live-mode": true, "live-mode-brokerage": "BrokerageName", "setup-handler": "QuantConnect.Lean.Engine.Setup.BrokerageSetupHandler", "result-handler": "QuantConnect.Lean.Engine.Results.LiveTradingResultHandler", "data-feed-handler": "QuantConnect.Lean.Engine.DataFeeds.LiveTradingDataFeed", "data-queue-handler": [ "QuantConnect.Lean.Engine.DataFeeds.Queues.LiveDataQueue" ], "real-time-handler": "QuantConnect.Lean.Engine.RealTime.LiveTradingRealTimeHandler", "transaction-handler": "QuantConnect.Lean.Engine.TransactionHandlers.BacktestingTransactionHandler" },
where brokerage-name
and "BrokerageName"
are placeholders for your brokerage name.
environment
value to the your new brokerage environment.For example, "live-brokerage-name"
.
Running the solution won't work, but the stub implementation should still build.


See: Description
| Interface | Description |
|---|---|
| JpqlParserConstants |
Token literal values and constants.
|
| JpqlParserTreeConstants | |
| JpqlParserVisitor<T> |
This class is to be implemented by objects that want to visit a JPQL-tree.
|
| Node |
| Exception | Description |
|---|---|
| ParseException |
This exception is thrown when parse errors are encountered.
|
| Error | Description |
|---|---|
| TokenMgrError |
Token Manager Error.
|
Copyright © 2019. All Rights Reserved.


This example uses the C interface to create a set of JSON nodes that you can then dump to a string and use however you like.
JSONNode n(JSON_NODE); n.push_back(JSONNode("String Node", "String Value")); n.push_back(JSONNode("Integer Node", 42)); n.push_back(JSONNode("Floating Point Node", 3.14)); n.push_back(JSONNode("Boolean Node", true)); std::string jc = n.write_formatted(); std::cout << jc << std::endl;
The result will look like this:
{ "String Node" : "String Value", "Integer Node" : 42, "Floating Point Node" : 3.14, "Boolean Node" : true }
The first line generates a new root node for us to work with. This node will contain the entire JSON structure we want to create.
Line 2 creates a new JSON_STRING node, i.e. a node that will have a string value, and attaches the new node to the end of our original root node n.
Line 3, 4 and 5 create and add new integer, floating point and boolean nodes respctively and add them to the root node. Both the integer and floating point methods will create JSON_NUMBER nodes where the numeric values will be printed to a JSON string without any quotation marks. The boolean method will take a true or a false and print a "true" or "false" in the final JSON string.
Line 6 returns a json_string that contains nicely formatted JSON code from the structure we just created. The string will be nicely tabbed and returned for human readability. Use this for debugging purposes. If you are going into production, use the write method instead which will compact the JSON into a single line that saves space for transmission over the Net or between components.


Multi Select
Regular <select> input is nice, but quite limited. For example, it is hard to use this control on a large set of options. To provide a solution, I have implemented drop down list based on a text input filed but with a dynamic list of options that gets filtered as you type.
Preview
Code
Options
You can provide various options for numeric fields as second argument. The structure of the options object is below:
Item Object
Set Value From JavaScript
To set a different value from JavaScript you need to change $('#id').data('selected') and refresh the field:
In 1.4.0, you should be able to do it with


Yes: 2*2*2 == 8
Here is the program again, this time with better accuracy because the divisor is 8, a power of two.
class LogTable { public static void main ( String[] args ) { System.out.println( "x" + "\t ln(x)" ); for ( double x = 1.0/8.0; x <= 2.0; x = x + 1.0/8.0 ) { System.out.println( x + "\t" + Math.log( x ) ); } } }
Here is its output:
x ln(x) 0.125 -2.0794415416798357 0.25 -1.3862943611198906 0.375 -0.9808292530117262 0.5 -0.6931471805599453 0.625 -0.4700036292457356 0.75 -0.2876820724517809 0.875 -0.13353139262452263 1.0 0.0 1.125 0.11778303565638346 1.25 0.22314355131420976 1.375 0.3184537311185346 1.5 0.4054651081081644 1.625 0.4855078157817008 1.75 0.5596157879354227 1.875 0.6286086594223741 2.0 0.6931471805599453
This is our best table yet! Unfortunately, because of the awkward increment value (of 1/8) the table is inconvenient for human consumption. But computing a table of numbers for display purposes is rare. Usually the numbers computed in a loop are used by the program itself for some larger task, such as drawing a picture, or for an engineering computation.


Labour candidate calls for Shropshire MPs to quit second jobs
by Mark AndrewsA Shropshire General Election candidate has called for an end to MPs having second jobs.
Graeme Currie, Labour's candidate for North Shropshire, asked his rivals for the seat to give a commitment not to carry out any paid work outside parliament should they win on December 12.
The Parliamentary hopeful, who is challenging Conservative Owen Paterson who has held the seat since 1997, was out canvassing in Oswestry's Red Square yesterday.
Mr Currie, who runs his own social work business, said he would give up his job to become a full-time MP if elected.
He said: “I find it extremely surprising that some MPs have time to carry out second or third jobs.
"North Shropshire deserves a full-time MP who is 100 per cent focussed on representing their constituents.
"If I am elected as North Shropshire MP and find that I have spare evenings or weekends, I will use it to spend more time listening to the people I represent, not trying to pick up another salary."
How much do MPs earn?
The basic MP's salary has been £79,468 since April 2019 when it increased by 2.7 per cent.
According to the latest MP's register of interests, published two weeks ago, Telford's Lucy Allan was the only Shropshire MP not to hold a second job during the term of the last parliament.
GALLERY: Shropshire MPs' register of interests
Mr Paterson receives around £12,500 a month or £150,000 a year on top of his MP's salary.
This is broken down to a monthly £8,333 from Randox Laboratories for an expected 16 hours work, £4,166 a month from Hi-Peak Feeds for an expected eight hours work and £12,000 a year from Lynn's Country Foods for an expected four hours work every other month.
The register shows Wrekin MP Mark Pritchard receives a combined £6,491.18 in monthly fees from The Soufan Group, the Consumer Credit Association, Strategeast and Pass Technology Group.
That is the equivalent of £77,894.16 each year.
He was also paid £1,666.66 a month by the Smartwater Foundation between November 2017 and March 2019.
Meanwhile Shrewsbury MP Daniel Kawczynski has been paid £6,000 each month for an expected 30 hours of work by the Electrum Group, a mining firm based in the US, since February 2018.
Ludlow MP Philip Dunne's only listed additional income is an annual £1,281 from Gatley Farms, the farm he and his wife own near Leominster.
'No need for further roles'
Mr Currie acknowledged it was important for MPs to have interests outside party politics, but said they should not be doing so for financial gain.
"People perceive that MPs are using their position to feather their nests and understandably feel outraged by this,” he said.
Mr Currie accepted that MPs from backgrounds such as nurses or doctors would need to do some work to keep their skills up to date and retain their certificates.
"There’s nothing wrong with that, especially where they’re performing a public service," he said.
"MPs are also often asked to speak to meetings, appear on television or write in the press, but we should be looking at ways of making sure those appearances don’t carry a financial incentive for politicians.
"The rules need looking at again. For now though, the public can clearly see the difference between extra work that is fine and extra work that is, to put it politely, taking the mickey.
"MPs earn a very generous salary already. They don’t need to take on further paid roles.”