Texture Class
Texture class to upload images to the GPU, default is gl.TEXTURE_2D, gl.RGBAof gl.UNSIGNED_BYTE with filter gl.LINEAR, and gl.CLAMP_TO_EDGE
There is a list of options
==========================
- texture_type: gl.TEXTURE_2D, gl.TEXTURE_CUBE_MAP
- format: gl.RGB, gl.RGBA, gl.DEPTH_COMPONENT
- type: gl.UNSIGNED_BYTE, gl.UNSIGNED_SHORT, gl.HALF_FLOAT_OES, gl.FLOAT
- filter: filtering for mag and min: gl.NEAREST or gl.LINEAR
- magFilter: magnifying filter: gl.NEAREST, gl.LINEAR
- minFilter: minifying filter: gl.NEAREST, gl.LINEAR, gl.LINEAR_MIPMAP_LINEAR
- premultiply_alpha: multiplies alpha channel by every color channel
- wrap: texture wrapping: gl.CLAMP_TO_EDGE, gl.REPEAT, gl.MIRROR
Constructor
Texture
-
width
-
height
-
options
Parameters:
-
width
Numbertexture width (any supported but Power of Two allows to have mipmaps), 0 means no memory reserved till its filled
-
height
Numbertexture height (any supported but Power of Two allows to have mipmaps), 0 means no memory reserved till its filled
-
options
ObjectCheck the list in the description
Item Index
Methods
- applyBlur
- bind
- copyTo
- drawTo
- drawToColorAndDepth
- generateMetadata
- isDepthSupported
- Texture.cubemapFromImage
- Texture.cubemapFromImages
- Texture.fromImage
- Texture.fromTexture
- Texture.fromTexture
- Texture.fromURL
- Texture.fromVideo
- Texture.toBase64
- Texture.toBlob
- toCanvas
- toViewport
- unbind
- uploadData
- uploadImage
Methods
applyBlur
-
offsetx
-
offsety
-
intensity
-
temp_texture
Applies a blur filter of one pixel to the texture (be careful using it, it is slow)
Parameters:
-
offsetx
Numberscalar that multiplies the offset when fetching pixels horizontally (default 1)
-
offsety
Numberscalar that multiplies the offset when fetching pixels vertically (default 1)
-
intensity
Numberscalar that multiplies the result (default 1)
-
temp_texture
Textureblur needs a temp texture, if not supplied it will create a new one each time!
Returns:
returns the temp_texture in case you want to reuse it
bind
-
unit
Binds the texture to one texture unit
Parameters:
-
unit
Numbertexture unit
Returns:
returns the texture unit
copyTo
-
target_texture
Copy content of one texture into another
Parameters:
-
target_texture
Texture
drawTo
-
callback
Render to texture using FBO, just pass the callback to a rendering function and the content of the texture will be updated
Parameters:
-
callback
Functionfunction that does all the rendering inside this texture
drawToColorAndDepth
-
color_texture
-
depth_texture
-
callback
Similar to drawTo but it also stores the depth in a depth texture
generateMetadata
()
Object
generates some basic metadata about the image
Returns:
isDepthSupported
()
Returns if depth texture is supported by the GPU
Texture.cubemapFromImage
-
image
-
options
Create a cubemap texture from a single image that contains all six images arranged vertically
Parameters:
-
image
Image -
options
Object
Returns:
the texture
Texture.cubemapFromImages
-
images
-
options
Create a cubemap texture from a set of 6 images
Parameters:
-
images
Array -
options
Object
Returns:
the texture
Texture.fromImage
-
image
-
options
Create a texture from an Image
Parameters:
-
image
Image -
options
Object
Returns:
the texture
Texture.fromTexture
-
width
-
height
-
pixels
-
options
Create a texture from an ArrayBuffer containing the pixels
Parameters:
-
width
Number -
height
Number -
pixels
ArrayBuffer -
options
Object
Returns:
the texture
Texture.fromTexture
-
old_texture
-
options
Create a clone of a texture
Parameters:
-
old_texture
Texture -
options
Object
Returns:
the texture
Texture.fromURL
-
url
-
options
-
on_complete
Loads and uploads a texture from a url
Parameters:
-
url
String -
options
Object -
on_complete
Function
Returns:
the texture
Texture.fromVideo
-
video
-
options
Create a texture from a Video
Parameters:
-
video
Video -
options
Object
Returns:
the texture
Texture.toBase64
()
String
returns a base64 String containing all the data from the texture
Returns:
the data in base64 format
Texture.toBlob
()
Blob
returns a Blob containing all the data from the texture
Returns:
the blob containing the data
toCanvas
-
canvas
Copy texture content to a canvas
Parameters:
-
canvas
Canvasmust have the same size, if different the canvas will be resized
toViewport
-
shader
-
uniforms
Render texture in a quad to full viewport size
Parameters:
-
shader
Shaderto apply, otherwise a default textured shader is applied
-
uniforms
Objectfor the shader if needed
unbind
-
unit
Unbinds the texture
Parameters:
-
unit
Numbertexture unit
Returns:
returns the texture unit
uploadData
-
data
Uploads data to the GPU (data must have the appropiate size)
Parameters:
-
data
ArrayBuffer
uploadImage
-
img
Given an Image/Canvas/Video it uploads it to the GPU
Parameters:
-
img
Image


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This is a blog teaser Blog content «««««« Test Post 2 Test Post 2 »»»»»» Please enable JavaScript to view the comments powered by Disqus. comments powered by Disqus


See the page title, which is being changed once you change the language. This works only adding the key of 'pageTitle' in JSON file.
See the network request, you will see 'pre-load-module' which loads according to the pre loading startegy, Whenever this activates it's load all respective component multilingual JSON, like if you check the request then you will see the request of 'i18n/child-data/en.json'.


[ David and Goliath are standing by each other.   You will not survive.   Ask Jive.

David: yes way!


It has been
days since a Hear Me Code member has landed a job in tech.
Since 2015, over a dozen women credit Hear Me Code with providing them the skills and experience they needed to land a tech job.


Created By: Celeste Morton
Github Project/URL:
https://github.com/Celesterenee7/arrays-looping-beep-boop-IP
Independent Project for:
Epicodus
Arrays & Looping
Rules:
Beep Boop will count up to your number from 1 with the following exceptions:
® Copyright Celeste Renee Designs. All rights reserved.


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Create a second service class and then create a workload such that all activities run from the WLM_tutorial_wk2 application get mapped to the newly created service class. In addition, set up the workload so that it will collect some activity data. For this example, we will just collect activity data without any additional details or values.
When the COLLECT ACTIVITY DATA clause is specified for a workload, information about any activity submitted by an occurrence of that workload will be sent to the active ACTIVITIES event monitor when the activity completes. The COLLECT ACTIVITY DATA clause allows you to specify how much information should be collected by applying one of the following options:


{% load i18n %} {{ related_object.resolution.title }} {% if related_object.related_resolution %}
{% trans "associated with another resolution" %} {{ related_object.related_resolution.title }}
{{ related_object.text }}


Nouriel Roubini Joins the Anti-Ethereum Brigade
by Christine VasilevaNouriel Roubini, “Dr. Doom”, once again lashed out against the perceived lack of value of crypto assets. This time, he selected Ethereum (ETH) specifically.
ETH Has No Intrinsic Value, Dr. Roubini Believes
Dr. Roubini, known for trashing irrational bubbles, believes ETH would also go down to zero as it has no intrinsic value.
This time, “Dr. Doom” failed to mention BTC, though he noted in an older tweet BTC was still down significantly from its peak. Dr. Roubini also mentioned that smaller altcoins were a disaster – at least one thing with which a part of the crypto community agrees.
The Ethereum protocol has been at the receiving end of criticism for a long time. Most of the flaws discovered have to do with the failure to scale, and the complexity and low capacity of using the network.
Crypto Market Still in Better Shape Over the Years
Despite the doomsday sayings, however, the crypto market looks in better shape. About two years after some of the biggest rallies in history, BTC built up a hashrate as much as 20 times higher. Altcoins at the top also achieve higher liquidity, and trading volumes are returning.
The market has seen multiple failed experiments, and some assets have lost 99% of their value, then lost 99% of their value again, dwindling to almost nothing. But failed coins have always accrued, even in the earliest days of crypto trading.
Even with the setbacks, the market still has a larger overall volume. The most liquid coins and tokens also give rise to new products and derivatives markets. As for Ethereum, its importance is on the rise again, as it was chosen to be the platform to run an ERC-20 version of Tether (USDT).
Overall, the crypto space has become more resilient, and less shaken by negative news. In the past week, the losses from two relatively large exchanges, Upbit, and IDAX, were taken in stride. The market continues, despite the gloom-and-doom statements.
More extreme predictions see BTC slide to as low as $1,000 based on long-term chart patterns. But so far, BTC has managed to bounce, and there are traders to prop up the price at much higher levels.
There are some fears for an ETH crash in case the Upbit thief attempts to cash out some of the haul. But the coin has held up with relative stability, as more ETH is taken out of the market and placed in DeFi schemes and collateralized lending. ETH traded at $155.85 on Friday.
What do you think about Nouriel Roubini’s take on Ethereum? Share your thoughts in the comments section below!
The Rundown


| OLD line(s): 202
<!-- Certifies Vehicle Not Transfred Indicator --> | NEW line(s): 202
<!-- Certifies Vehicle Not Transferred Indicator --> |
| OLD line(s): 211
<!-- Certifies Vehicle Transfred To Needy Indicator --> | NEW line(s): 211
<!-- Certifies Vehicle Transferred To Needy Indicator --> |
| OLD line(s): 220,221
<!-- Certifies Detail Description Of Improved Indicator --> <xsd:element name="CertifiesDetailDescOfImprvInd" type="CheckboxType" minOccurs="0"> | NEW line(s): 220,221
<!-- Certifies Detailed Description Of Improvement --> <xsd:element name="CertifiesDetailedDescOfImprv" type="MediumExplanationType" minOccurs="0"> |
| OLD line(s): 224
<Description>Certifies detail description of improved indicator</Description> | NEW line(s): 224
<Description>Certifies detailed description of improvement</Description> |


SkyBox()
语法
Result = SkyBox(TextureName$ [, FogColor, FogIntensity, FogStartDistance, FogEndDistance])概要
Loads a 6 face cube and creates an artificial box which is far away from the camera but close to the world. This is a very useful function to easily make a closed world.
参数
TextureName$ The textures must be in a path previously declared with the Add3DArchive() function. The base name of the textures, which should be named using the following rule: TextureName_BK ; BacK face TextureName_FR ; FRont face TextureName_DN ; DowN face TextureName_UP ; UP face TextureName_LF ; LeFt face TextureName_RT ; RighT faceFogColor (optional) The fog color. RGB() can be used to get a valid color value. If not specified, the fog settings are inherited from the Fog() command. FogIntensity (optional) The fog intensity. If sets to zero, the fog effect is disable. FogStartDistance (optional) The distance from the camera (in world units) where the fog should start. FogEndDistance (optional) The distance from the camera where the fog is fully opaque.
返回值
Returns non-zero if the SkyBox has been successfully created.
参阅
SkyDome()
已支持操作系统
所有


( Windows | Linux | MacOS )
Path in which you have placed this sdk: ~sdk
FaceGen executables load data from ~sdk/data/
The 'data' directory must be present in the directory containing the executable, or any of its
parent directories. It must contain the file _facegen_data_dir.flag
> PATH=%PATH%;~sdk\bin\win\x64\vs22\release\;~sdk\bin\win\x64\
$ PATH=$PATH:~sdk/bin/linux/x64/gcc/release/:~sdk/bin/linux/x64/
$ PATH=$PATH:~sdk/bin/macos/x64/clang/release/:~sdk/bin/macos/x64/


A B C D E F G H I J L M N P R S T U V W
All Classes All Packages
All Classes All Packages
All Classes All Packages
L
- leastCommonAncestor(Node, Node, Graph) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
Returns the least common ancestor of both child1 and child2 within the given graph
- leastCommonAncestor(Node, Node, Q) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
Returns the least common ancestor of both child1 and child2 within the given graph
- libraries() - Static method in class com.ensoftcorp.open.java.commons.analysis.SetDefinitions
-
Everything declared under any of the known API projects, if they are in the index.
- LIBRARY - com.ensoftcorp.open.java.commons.project.ProjectJarProperties.JarType
- libraryDeclarations() - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
Returns those nodes which are declared by a library.
- libraryDeclarations(Q) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
Returns those nodes which are declared by a library.
- libraryDeclarations(Q, String) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
Returns those nodes which are declared by a library with the given name.
- libraryDeclarations(String) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
Returns those nodes which are declared by a library with the given name.
- LiteralPassedParameterCallSiteFilter - Class in com.ensoftcorp.open.java.commons.filters
-
Filters call site nodes based on how whether the call site parameter(s) are fixed literal values
- LiteralPassedParameterCallSiteFilter() - Constructor for class com.ensoftcorp.open.java.commons.filters.LiteralPassedParameterCallSiteFilter
- loadPreferences() - Static method in class com.ensoftcorp.open.java.commons.preferences.JavaCommonsPreferences
-
Loads or refreshes current preference values
- localDeclarations(Q) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
All nodes declared under the given functions, but NOT declared under additional functions or types.
- localDeclarations(Q, Q) - Static method in class com.ensoftcorp.open.java.commons.analysis.CommonQueries
-
All nodes declared under the given functions, but NOT declared under additional functions or types.
- log(int, String, Throwable) - Static method in class com.ensoftcorp.open.java.commons.log.Log
- Log - Class in com.ensoftcorp.open.java.commons.log
-
Centralized logging for Eclipse plugins.
- Log() - Constructor for class com.ensoftcorp.open.java.commons.log.Log
- LogSubsystem - Class in com.ensoftcorp.open.java.commons.subsystems
- LogSubsystem() - Constructor for class com.ensoftcorp.open.java.commons.subsystems.LogSubsystem
All Classes All Packages


Flickr Fixr version
Thanks for using Flickr Fixr. Doesn't Flickr Fixr work for you, do you have a question, found an error, have ideas for improvement, or maybe just want to tell you like Flickr Fixr, then leave a comment in the Flickr Hacks forum.
Interested in technical details about photos? Also try xIFr, my Exif viewer browser-extension that works on pretty much any site!


The “live view” section must display the rendered website that was created by the user. When a change is made to any of the index.html, index.css, or index.js files, the “live view” section should hot-reload, and display the new output.
Hello Dyte!!!!!


Events
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Chang leads Hawaii’s All-NWC selections | Honolulu Star-Advertiser
Lewis & Clark junior Cameron Chang, a defensive lineman, was named to the All-Northwest Conference first team as an athlete on Monday. Read more
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Module: Truth::Addressable
Class Method Summary (collapse)
Instance Method Summary (collapse)
- - (Object) address_str
-
- (Object) on_change_address(old, new)
TODO: is there a way to make this cleaner?.
Class Method Details
+ (Object) included(klass)
8 9 10 11 12 13 14 15 16 17 18 |
# File 'lib/truth/addressable.rb', line 8 def included(klass) klass.class_eval do key :address end klass.dsl_class.class_eval do def address(addr) @target.address = IP(addr) end end end |
Instance Method Details
- (Object) address_str
32 33 34 |
# File 'lib/truth/addressable.rb', line 32 def address_str address.to_s end |
- (Object) on_change_address(old, new)
TODO: is there a way to make this cleaner?
22 23 24 25 26 27 28 29 30 |
# File 'lib/truth/addressable.rb', line 22 def on_change_address(old, new) configuration.addressables.update_membership(self) configuration.networks.each do |net| net.addressables.update_membership(self) do net.cidr.include? new end end end |


{% extends "base.html" %} {% block title %}
Medieval catalogues > HENRY DE KIRKESTEDE > Catalogus, c. 1360
{% endif %}37 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Security Note: Canon Secure Share will never ask you for your password via email
Hi ##NAME##,
A scanned document has been shared with you via Canon Secure Share:
Remuneration Review Q1-15
This link is active for
48
hours.
Canon Secure Share: Trusted sharing of documents - direct from your Canon office products.
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detect potentially catastrophic exponential-time regular expressions by limiting the star height to 1
WARNING: This module merely seems to work given all the catastrophic regular expressions I could find scouring the internet, but I don't have enough of a background in automata to be absolutely sure that this module will catch all exponential-time cases.
var safe = require('safe-regex');
var regex = process.argv.slice(2).join(' ');
console.log(safe(regex));
$ node safe.js '(x+x+)+y'
false
$ node safe.js '(beep|boop)*'
true
$ node safe.js '(a+){10}'
false
$ node safe.js '\blocation\s*:[^:\n]+\b(Oakland|San Francisco)\b'
true
var safe = require('safe-regex')
Return a boolean ok
whether or not the regex re
is safe and not possibly
catastrophic.
re
can be a RegExp
object or just a string.
If the re
is a string and is an invalid regex, returns false
.
opts.limit
- maximum number of allowed repetitions in the entire regex.
Default: 25
.With npm do:
npm install safe-regex
MIT


The Temple is dedicated to Lord Sri Venkateswara, an incarnation of Vishnu, who is believed to have appeared here to save mankind from trials and troubles of Kali Yuga. The Temple is constructed in Dravidian architecture and is believed to be constructed over a period of time starting from 300 AD.
Tirumala is located 3,200 feet (980 m) above sea level and covers an area of approximately 10.33 square miles (26.8 km2). Surrounding the hills are seven peaks of Seshachalam range, Eastern Ghats namely Seshadri, Neeladri, Garudadri, Anjanadri, Vrushabadri, Narayanadri and Venkatadri. The temple of Sri Venkateswara is on the seventh peak (Venkatadri).
In ancient literature Tirupati is mentioned as Aadhi Varaha Kshetra. The Puranas associate the site with Lord Varaha, one of the Dashavatara of Lord Vishnu. In Varaha Purana, Venkatadri is believed to be a part of Mount Meru, which was brought on to the earth from Vishnu's abode Vaikuntam by his mount Garuda. The seven peaks represent the seven heads of Adisesha. It is 22.2 kilometers from tirupati.
Visiting Timings:-24×7
Though this temple's significance has diminished due to the hugely popular neighboring Temples in Tirumala and Tiruchanoor, it received very good patronage from the Kings of Vijayanagara in the 13th thru 16th centuries, especially Saluva Narasimha Deva Raya.
Kapila Theertham is a famous Saivite Temple and Theertham, located at Tirupati in the Chittoor District of Andhra Pradesh, India. The idol is believed to be installed by Kapila Muni and hence Lord Siva here is referred to as Kapileswara. It is 3.5 kilometers from tirupati.
Visiting Timings:-5:00AM-11:30AM and 4:00PM-8:00PM
It has a beautiful Siva Temple which is popularly known as "the Parasurameswara Temple." The Linga is carved out of a hard dark brown indigenous stone. It is about 5 ft in height and one foot in thickness. Shiva standing on Apasmara, carved on the lingam 1st century BCE.
The nut of the lingo is clearly differentiated from the shaft by a deep slanting groove cut about a foot from the top of the Linga. A beautiful two handed image of Shiva in sthanaka posture is carved in high relief. It is 26.3 kilometers from tirupati.
Visiting Timings:-9:00AM-7:00PM
Sri Govindaraja Swamy temple is one the most important and ancient temples located in the heart of the temple city - Tirupati. Renowned Sri Vaishnavaite, Saint Ramanujacharya consecrated this temple in 1130 AD. Before Lord Sri Govindaraja Swamy, Sri Parthasarathi Swamy was the presiding deity of this temple. It is 73.3 kilometers from tirupati.
Visiting Timings:-5:00AM-8:00PM
Silathoranam, a Natural arch and a distinctive geological wonder is located in Tirumala Hills at a distance of 1 km from Tirumala Venkateswara Temple. The Arch measures 8 metres in width and 3 metres in height and is eroded out of quartizite of Cuddapah Supergroup of Middle to Upper Proterozoic(1600 to 570 Ma) by weathering agents such as water and wind. It is 24.8 kilometers from tirupati.
Visiting Timings:-24×7
Kanipakam is home to a popular Hindu temple of Lord Ganesha called as Kanipakam Vinayaka Temple. It was constructed in the early 11th century CE by the pandian King Maravarman sundara pandian and a siva temple by Kulothunga Chola I and was expanded further in 1336 by the Emperors of Vijayanagara dynasty.
An unbelievable truth about the divine image of Lord Vinayak of Kanipakam is that the idol is reportedly growing in size with the passage of time. Currently, only the knees and abdomen of the idol are visible.
The testimony to the fact is the silver kavacham (armour) offered to the idol by one of the ardent devotees about fifty years ago, which does not fit the idol today! It is 67.2 kilometers from tirupati.
Visiting Timings:-6:00AM-11:00AM,12:00PM-5:00PM and 6:30PM-9:30PM
Srikalahasti Temple is located in the town of Srikalahasti, in the state of Andhra Pradesh, India. It is one of the most famous Shiva temples in South India, and is said to be the site where Kannappa was ready to offer both his eyes to cover blood flowing from the Siva linga before the Lord Siva stopped him and granted him mukti.
Srikalahasti temple, situated 37 kilometers from Tirupati is famous for its Vayu linga, one of the Panchabhoota Sthalams, representing wind. The temple is also regarded as Rahu-Ketu kshetra and Dakshina Kailasam. The inner temple was constructed around 5th century and the outer temple was constructed in the 12th century by the Chola kings and the Vijayanagara kings.
Lord Shiva in his aspect as Vayu is worshiped as Kalahasteeswara.The 120 feet (37 m) high main gopuram and the 100 pillar mandapam were constructed by Krishnadevaraya, the Vijayanagara king in 1516. The presiding image of Shiva in the form of Linga is made of white stone in a shape resembling trunk of elephant.
The temple is revered as one of the Pancha Bhoota Stalam where the presiding deity is worshipped as Vayu linga(air). This temple is considered "Kashi of the South". Saivaite saints of the first century sang about this temple. This is the only temple in India which remains open during Solar and lunar eclipses, while, all other temples are closed.
This temple is famous for Rahu-Kethu pooja. It is believed that performing this pooja will ward the people from astrological effects of Rahu and Kethu. As per Hindu legend, Kalahatiswara was worshipped at this place by Brahma during all four Yugas. Arjuna, the Pandava prince during Mahabharata is believed to have worshipped the presiding deity.
Visiting Timings:-6:00AM-9:00PM


vignettes/proActiv.Rmd
proActiv.Rmd
Most human genes have multiple promoters that control the expression of distinct isoforms. The use of these alternative promoters enables the regulation of isoform expression pre-transcriptionally. Alternative promoters have been found to be important in a wide number of cell types and diseases.
proActiv is a method that enables the analysis of promoters from RNA-Seq data. proActiv uses aligned reads as input, and then generates counts and normalized promoter activity estimates for each annotated promoter. These estimates can then be used to identify which promoter is active, which promoter is inactive, and which promoters change their activity across conditions.
Here we present a quick start guide to using proActiv, and a detailed workflow for identifying active promoters and alternative promoters across 2 conditions.
If you use proActiv in your research, please cite:
proActiv estimates promoter activity from RNA-Seq data. Promoter activity is defined as the total amount of transcription initiated at each promoter. proActiv takes as input either BAM files or junction files (TopHat2 or STAR), and a promoter annotation object of the relevant genome. An optional argument condition
can be supplied, describing the condition corresponding to each input file. Here we demonstrate proActiv with STAR junction files (Human genome GRCh38 Gencode v34) as input. Due to size constraints, analysis is restricted to a subset of chr1 (10,000,000-30,000,000).
library(proActiv) ## List of STAR junction files as input files <- list.files(system.file('extdata/vignette/junctions', package = 'proActiv'), full.names = TRUE) ## Vector describing experimental condition condition <- rep(c('A549','HepG2'), each=3) ## Promoter annotation for human genome GENCODE v34 restricted to a subset of chr1 promoterAnnotation <- promoterAnnotation.gencode.v34.subset result <- proActiv(files = files, promoterAnnotation = promoterAnnotation, condition = condition)
result
is a summarizedExperiment object which can be accessed as follows:
assays(results)
returns raw/normalized promoter counts and absolute/relative promoter activitymetadata(results)
returns gene expression datarowData(results)
returns promoter metadata and summarized absolute promoter activity by conditionsHere we present a complete step-by-step workflow for analyzing promoter activity with proActiv and for identifying alternative promoter usage across samples from different conditions. We will compare samples from 2 different cell lines (A549 and HepG2) to identify alternative promoters.
proActiv uses RNA-Seq data to quantify promoter activity. Users have the option of using as input either BAM files, or tab-delimited junction files that are generated when TopHat2 or STAR is used for read alignment.
Below, we demonstrate running proActiv
with input STAR junction files. This data is taken from the SGNEx project, and restricted to the chr1:10,000,000-30,000,000 region. The reference genome used for alignment is Gencode v34 (GRCh38). These files can be found in ‘extdata/vignette/junctions’:
files <- list.files(system.file('extdata/vignette/junctions', package = 'proActiv'), full.names = TRUE)
In order to quantify promoter activity, proActiv uses a set of promoters based on genome annotations. proActiv allows the creation of a promoter annotation object for any genome from a TxDb object or from a GTF file with the preparePromoterAnnotation
function. Users have the option to either pass the file path of the GTF/GFF or TxDb to be used, or use the TxDb object directly as input. proActiv includes pre-calculated promoter annotations for the human genome (GENCODE v34). However, due to size constraints, the annotation is restricted to the chr1:10,000,000-30,000,000 region. Users can build full annotations by downloading GTF files from GENCODE page and following the steps below.
We demonstrate creating the restricted promoter annotation for the Human genome (GENCODE v34) with both GTF and TxDb:
## From GTF file path gtf.file <- system.file('extdata/vignette/annotation/gencode.v34.annotation.subset.gtf.gz', package = 'proActiv') promoterAnnotation.gencode.v34.subset <- preparePromoterAnnotation(file = gtf.file, species = 'Homo_sapiens') ## From TxDb object txdb.file <- system.file('extdata/vignette/annotation/gencode.v34.annotation.subset.sqlite', package = 'proActiv') txdb <- loadDb(txdb.file) promoterAnnotation.gencode.v34.subset <- preparePromoterAnnotation(txdb = txdb, species = 'Homo_sapiens')
The PromoterAnnotation
object has 3 slots:
intronRanges
: Intron ranges, giving the corresponding transcripts of each intronpromoterIdMapping
: An ID mapping between transcripts, promoter IDs and gene IDspromoterCoordinates
: Promoter coordinates (TSS) and internal promoter state, along with the 3’ coordinate of the first exonOnce promoters in the genome are identified, proActiv estimates promoter activity at each annotated promoter. Here, we load pre-calculated promoter annotation for GENCODE Release 34. We also supply the experimental condition to proActiv
. This information allows proActiv
to summarize results across conditions.
promoterAnnotation <- promoterAnnotation.gencode.v34.subset condition <- rep(c('A549', 'HepG2'), each=3) result <- proActiv(files = files, promoterAnnotation = promoterAnnotation, condition = condition)
result
is a SummarizedExperiment
object with assays as raw/normalized promoter counts, and absolute/relative promoter activity:
show(result) #> class: SummarizedExperiment #> dim: 1380 6 #> metadata(1): geneExpression #> assays(4): promoterCounts normalizedPromoterCounts #> absolutePromoterActivity relativePromoterActivity #> rownames(1380): 1 2 ... 1379 1380 #> rowData names(12): promoterId geneId ... A549.class HepG2.class #> colnames(6): SGNEx_A549_Illumina_replicate1.run1.subset.SJ.out #> SGNEx_A549_Illumina_replicate3.run1.subset.SJ.out ... #> SGNEx_HepG2_Illumina_replicate4.run1.subset.SJ.out #> SGNEx_HepG2_Illumina_replicate5.run1.subset.SJ.out #> colData names(2): sampleName condition
The rowData
slot stores a promoter-gene ID mapping and promoter position (5’ to 3’) for each promoter by gene. Mean absolute promoter activity for each condition is also summarized here. Promoters are also categorized into three classes. Promoters with activity < 0.25 are classified as inactive, while the most active promoters of each gene are classified as major promoters. Promoters active at lower levels are classified as minor promoters.
| promoterId | geneId | seqnames | start | strand | internalPromoter | promoterPosition | txId | A549.mean | HepG2.mean | A549.class | HepG2.class |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | ENSG00000000938.13 | chr1 | 27624062 | - | TRUE | 4 | ENST0000…. | 0.000000 | 0.000000 | NA | NA |
| 2 | ENSG00000000938.13 | chr1 | 27626240 | - | FALSE | 3 | ENST0000…. | 0.000000 | 0.000000 | Inactive | Inactive |
| 3 | ENSG00000000938.13 | chr1 | 27626569 | - | FALSE | 2 | ENST0000…. | 0.000000 | 0.000000 | Inactive | Inactive |
| 4 | ENSG00000000938.13 | chr1 | 27635185 | - | FALSE | 1 | ENST0000…. | 0.000000 | 0.000000 | Inactive | Inactive |
| 5 | ENSG00000001460.18 | chr1 | 24379823 | - | TRUE | 7 | ENST0000…. | 4.721803 | 4.319706 | NA | NA |
| 6 | ENSG00000001460.18 | chr1 | 24391679 | - | TRUE | 6 | ENST0000…. | 4.207194 | 3.999170 | NA | NA |
The metadata
slot provides gene expression data for each replicate per condition, and also summarizes mean expression across conditions.
For cleaner downstream analysis, one can remove single-exon transcripts for which promoter activity is not quantified. result
can be filtered as such:
## Removes single-exon transcripts / promoters by eliminating promoter counts that are NA result <- result[complete.cases(assays(result)$promoterCounts),]
We identify genes with similar expression levels across cell lines with alternate promoter usage using DEXSeq (Anders, Reyes, Huber 2012). While DEXSeq is originally intended for inferring differential exon usage in RNA-Seq data, DEXSeq can be similarly used with raw promoter counts as input to assess the statistical significance of alternative promoter usage across conditions. We follow the standard DEXSeq workflow.
library(DEXSeq) countData <- data.frame(assays(result)$promoterCounts, rowData(result)) ## Call DEXSeq - promoter as feature, gene as group dxd <- DEXSeqDataSet(countData = as.matrix(countData[,seq_len(length(condition))]), sampleData = data.frame(colData(result)), design = formula(~ sample + exon + condition:exon), featureID = as.factor(countData$promoterId), groupID = as.factor(countData$geneId)) dxr1 <- DEXSeq(dxd)
DEXSeq
returns dxr1
, which provides the significance that a promoter is differentially used across conditions. The description of each column of dxr1
can be found in the metadata columns.
mcols(dxr1)$description #> [1] "group/gene identifier" #> [2] "feature/exon identifier" #> [3] "mean of the counts across samples in each feature/exon" #> [4] "exon dispersion estimate" #> [5] "LRT statistic: full vs reduced" #> [6] "LRT p-value: full vs reduced" #> [7] "BH adjusted p-values" #> [8] "exon usage coefficient" #> [9] "exon usage coefficient" #> [10] "relative exon usage fold change" #> [11] "GRanges object of the coordinates of the exon/feature" #> [12] "matrix of integer counts, of each column containing a sample"
Users can sort this result by the minimum adjusted p-value for all promoters belonging to a particular gene. This helps to better identify candidate genes where alternative promoter usage is present.
## Arrange by minimum padj for each gene dxr1 <- data.frame(dxr1[,1:10]) %>% group_by(groupID) %>% mutate(minp = min(padj)) %>% arrange(minp)
| groupID | featureID | exonBaseMean | dispersion | stat | pvalue | padj | A549 | HepG2 | log2fold_HepG2_A549 | minp |
|---|---|---|---|---|---|---|---|---|---|---|
| ENSG00000076864.19 | 136 | 82.2979298 | 0.0182020 | 0.3525764 | 0.5526583 | 0.9591782 | 14.0805235 | 14.8219471 | 0.1491657 | 0 |
| ENSG00000076864.19 | 137 | 19.0571424 | 0.0359076 | 82.8439826 | 0.0000000 | 0.0000000 | 9.1482464 | 0.9717349 | -6.4739649 | 0 |
| ENSG00000076864.19 | 138 | 6.4056344 | 0.0246006 | 32.1268838 | 0.0000000 | 0.0000015 | 5.2346450 | 0.9718889 | -4.8598138 | 0 |
| ENSG00000076864.19 | 139 | 0.7281028 | 0.1703656 | 3.1924443 | 0.0739793 | 0.4008247 | 1.7528098 | 0.0338418 | -11.3895996 | 0 |
| ENSG00000076864.19 | 140 | 1.4595099 | 0.5778816 | 4.4308498 | 0.0352949 | 0.2628434 | 0.0290838 | 2.9995717 | 13.3772586 | 0 |
| ENSG00000076864.19 | 141 | 17.3815949 | 0.0072068 |<PHONE_NUMBER> | 0.0000000 | 0.0000000 | 0.8716588 | 10.2057501 | 7.1042522 | 0 |
Here we offer several visualizations of the data returned by the workflow above.
To visualize genes with alternative promoter usage across conditions, we call plotPromoters
on the summarizedExperiment object result
returned by proActiv. Here, we demonstrate plotPromoters
by visualizing promoters of RAP1GAP (ENSG00000076864.19). RAP1GAP is the most significant gene identified in dxr1
as a candidate for alternative promoter usage across cell lines A549 and HepG2. plotPromoters
takes in result
and gene
, a gene of interest.
In order to build and plot a transcript model for the gene of interest, users may supply either a transcript database (txdb
) or a list of Genomic Ranges giving the ranges of exons by transcripts to be plotted (ranges
). If users choose to use a TxDb as input, we recommend that the TxDb used should be the same as the one used to prepare promoter annotations, as annotations from different sources may differ slightly. To keep the run-time of this vignette short, we use a TxDb generated from GENCODE v34 GTF subsetted to RAP1GAP.
## RAP1GAP gene <- 'ENSG00000076864.19' txdb <- loadDb(system.file('extdata/vignette/annotations', 'gencode.v34.annotation.rap1gap.sqlite', package = 'proActiv')) plotPromoters(result = result, gene = gene, txdb = txdb) #> [1] "Plotting ENSG00000076864.19" #> [1] "Creating Gene Region Track..." #> [1] "Creating Data Track..." #> [1] "Creating Annotation Track..." #> [1] "Creating Plot..."
The same plot can be generated with a list of Genomic Ranges giving the exons by transcripts of RAP1GAP:
ranges <- readRDS(system.file('extdata/vignette/annotations', 'exonsBy.rap1gap.rds', package = 'proActiv')) plotPromoters(result = result, gene = gene, ranges = ranges)
Users can adjust the width of the promoter ‘blocks’ and ‘arrows’ in the plot with the numeric arguments blk.width
and arrow.width
respectively. blk.width
defaults to 500 (bases), while arrow.width
is internally calculated based on the range of the gene. Other parameters controlling the fill and border colour and size of labels are listed in code documentation.
From the plot, it is clear that alternative promoter usage regulates the expression of RAP1GAP across the cell lines A549 and HepG2.
Here, we visualize the categorization of annotated promoters in the two cell lines. The proportions between the categories are similar across the two cell lines, with majority of the promoters being inactive.
library(ggplot2) rdata <- rowData(result) ## Create a long dataframe summarizing cell line and promoter class pdata1 <- data.frame(cellLine = rep(c('A549', 'HepG2'), each = nrow(rdata)), promoterClass = as.factor(c(rdata$A549.class, rdata$HepG2.class))) ggplot(na.omit(pdata1)) + geom_bar(aes(x = cellLine, fill = promoterClass)) + xlab('Cell Lines') + ylab('Count') + labs(fill = 'Promoter Category') + ggtitle('Categorization of Promoters')
Analysis of major:minor promoter proportions against promoter position. The analysis is restricted to multi-promoter genes with at least one active promoter. Below, we generate the plot for cell line HepG2. In general, the major:minor promoter proportion decreases with increasing promoter position.
## Because many genes have many annotated promoters, we collapse promoters ## from the 5th position and onward into one group for simplicity pdata2 <- as_tibble(rdata) %>% mutate(promoterPosition = ifelse(promoterPosition > 5, 5, promoterPosition)) %>% filter(HepG2.class %in% c('Major', 'Minor')) ggplot(pdata2) + geom_bar(aes(x = promoterPosition, fill = as.factor(HepG2.class)), position = 'fill') + xlab(expression(Promoter ~ Position ~ "5'" %->% "3'")) + ylab('Percentage') + labs(fill = 'Promoter Category') + ggtitle('Major/Minor Promoter Proportion in HepG2') + scale_y_continuous(breaks = seq(0,1, 0.25), labels = paste0(seq(0,100,25),'%')) + scale_x_continuous(breaks = seq(1,5), labels = c('1','2','3','4','>=5'))
Comparison of major promoter activity and gene expression, calculated by summing over all promoters. Single promoter genes lie on the diagonal. Multi-promoter genes lie to the right of the diagonal. Below, we generate the plot for cell line HepG2. This plot suggests that a single major promoter does not often fully explain gene expression, with minor promoters also contributing to gene expression.
## Get active major promoters of HepG2 majorPromoter <- as_tibble(rdata) %>% group_by(geneId) %>% mutate(promoterCount = n()) %>% filter(HepG2.class == 'Major') ## Get gene expression corresponding to the genes identified above geneExpression <- metadata(result)$geneExpression %>% rownames_to_column(var = 'geneId') %>% filter(geneId %in% majorPromoter$geneId) pdata3 <- data.frame(proActiv = majorPromoter$HepG2.mean, geneExp = geneExpression$HepG2.mean[match(majorPromoter$geneId, geneExpression$geneId)], promoterCount = majorPromoter$promoterCount) ggplot(pdata3, aes(x = geneExp, y = proActiv)) + geom_point(aes(colour = promoterCount), alpha = 0.5) + ggtitle('Major Promoter Activity vs. Gene Expression in HepG2') + xlab('Average Gene Expression') + ylab('Average Major Promoter Activity') + labs(colour = 'Number of \n Annotated Promoters') + geom_abline(slope = 1, intercept = 0, colour = 'red', linetype = 'dashed')
We generate a t-SNE plot with all active promoters. Expectedly, replicates from each cell line cluster together.
library(Rtsne) ## Remove inactive promoters (sparse rows) data <- assays(result)$absolutePromoterActivity %>% filter(rowSums(.) > 0) data <- data.frame(t(data)) data$Sample <- as.factor(condition) set.seed(40) # for reproducibility tsne.out <- Rtsne(as.matrix(subset(data, select = -c(Sample))), perplexity = 1) plot(x = tsne.out$Y[,1], y = tsne.out$Y[,2], bg = data$Sample, asp = 1, col = 'black', pch = 24, cex = 4, main = 't-SNE plot with promoters \n active in at least one sample', xlab = 'T-SNE1', ylab = 'T-SNE2', xlim = c(-300,300), ylim = c(-300,300)) legend('topright', inset = .02, title = 'Cell Lines', unique(condition), pch = c(24,24), pt.bg = 1:length(unique(condition)) , cex = 1.5, bty = 'n')
Questions and issues can be raised at the Bioconductor support site: https://support.bioconductor.org. Ensure your posts are tagged with proActiv
.
Alternatively, issues can be raised at the proActiv Github repository: https://github.com/GoekeLab/proActiv.
#> R version 4.0.2 (2020-06-22)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 10 x64 (build 18362)
#>
#> Matrix products: default
#>
#> locale:
#> [1] LC_COLLATE=English_Singapore.1252 LC_CTYPE=English_Singapore.1252
#> [3] LC_MONETARY=English_Singapore.1252 LC_NUMERIC=C
#> [5] LC_TIME=English_Singapore.1252
#>
#> attached base packages:
#> [1] stats4 parallel stats graphics grDevices utils datasets
#> [8] methods base
#>
#> other attached packages:
#> [1] Rtsne_0.15 ggplot2_3.3.2
#> [3] GenomicFeatures_1.40.1 DEXSeq_1.34.1
#> [5] RColorBrewer_1.1-2 AnnotationDbi_1.50.1
#> [7] DESeq2_1.28.1 SummarizedExperiment_1.18.2
#> [9] DelayedArray_0.14.1 matrixStats_0.56.0
#> [11] GenomicRanges_1.40.0 GenomeInfoDb_1.24.2
#> [13] IRanges_2.22.2 S4Vectors_0.26.1
#> [15] Biobase_2.48.0 BiocGenerics_0.34.0
#> [17] BiocParallel_1.22.0 proActiv_0.99.0
#>
#> loaded via a namespace (and not attached):
#> [1] colorspace_1.4-1 hwriter_1.3.2 ellipsis_0.3.1
#> [4] rprojroot_1.3-2 biovizBase_1.36.0 htmlTable_2.0.1
#> [7] XVector_0.28.0 base64enc_0.1-3 fs_1.4.2
#> [10] dichromat_2.0-0 rstudioapi_0.11 farver_2.0.3
#> [13] bit64_0.9-7 splines_4.0.2 geneplotter_1.66.0
#> [16] knitr_1.29 Formula_1.2-3 Rsamtools_2.4.0
#> [19] annotate_1.66.0 cluster_2.1.0 dbplyr_1.4.4
#> [22] png_0.1-7 compiler_4.0.2 httr_1.4.1
#> [25] backports_1.1.7 assertthat_0.2.1 Matrix_1.2-18
#> [28] lazyeval_0.2.2 acepack_1.4.1 htmltools_0.5.0
#> [31] prettyunits_1.1.1 tools_4.0.2 gtable_0.3.0
#> [34] glue_1.4.1 GenomeInfoDbData_1.2.3 dplyr_1.0.1
#> [37] rappdirs_0.3.1 Rcpp_1.0.5 pkgdown_1.5.1
#> [40] vctrs_0.3.2 Biostrings_2.56.0 rtracklayer_1.48.0
#> [43] xfun_0.15 stringr_1.4.0 lifecycle_0.2.0
#> [46] ensembldb_2.12.1 statmod_1.4.34 XML_3.99-0.4
#> [49] zlibbioc_1.34.0 MASS_7.3-51.6 scales_1.1.1
#> [52] BSgenome_1.56.0 VariantAnnotation_1.34.0 hms_0.5.3
#> [55] ProtGenerics_1.20.0 AnnotationFilter_1.12.0 yaml_2.2.1
#> [58] curl_4.3 memoise_1.1.0 gridExtra_2.3
#> [61] biomaRt_2.44.1 rpart_4.1-15 latticeExtra_0.6-29
#> [64] stringi_1.4.6 RSQLite_2.2.0 highr_0.8
#> [67] genefilter_1.70.0 desc_1.2.0 checkmate_2.0.0
#> [70] rlang_0.4.7 pkgconfig_2.0.3 bitops_1.0-6
#> [73] evaluate_0.14 lattice_0.20-41 purrr_0.3.4
#> [76] labeling_0.3 GenomicAlignments_1.24.0 htmlwidgets_1.5.1
#> [79] bit_1.1-15.2 tidyselect_1.1.0 magrittr_1.5
#> [82] R6_2.4.1 generics_0.0.2 Hmisc_4.4-0
#> [85] DBI_1.1.0 withr_2.2.0 pillar_1.4.6
#> [88] foreign_0.8-80 survival_3.1-12 RCurl_1.98-1.2
#> [91] nnet_7.3-14 tibble_3.0.3 crayon_1.3.4
#> [94] BiocFileCache_1.12.0 rmarkdown_2.3 jpeg_0.1-8.1
#> [97] progress_1.2.2 locfit_1.5-9.4 grid_4.0.2
#> [100] data.table_1.13.0 blob_1.2.1 digest_0.6.25
#> [103] xtable_1.8-4 openssl_1.4.2 munsell_0.5.0
#> [106] Gviz_1.32.0 askpass_1.1


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Compiling with SDDate
Supply g++ with the main source file or an object file in addtion to your project's source files (listing dependees before dependents.)
g++ date.cpp testProgram.cpp -o test
OR
g++ -c date.cpp; g++ -c testProgram.cpp
g++ date.o testProgram.o -o test


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The programme for our upcoming Taming the BEAST workshop in Squamish, British Columbia, is now available!
The workshop will take place from August 14 to 18, 2023. For information on the venue, please visit the Squamish BEAST Tamers website.
The programme for our upcoming Taming the BEAST workshop in Squamish, British Columbia, is now available!
The workshop will take place from August 14 to 18, 2023. For information on the venue, please visit the Squamish BEAST Tamers website.
Registration is now open for the first Transmitting Science course on BEAST2, taught by Joëlle Barido-Sottani and Bethany Allen.
The course will take place online, from 13:00 til 20:00 CEST, on July 10th, 12th, 17th, 20th and 21st, 2023.
For more information on the course and to register, visit the Transmitting Science website.
We are very excited to announce the next installment of Taming the BEAST, which will again be held in Squamish, BC.
The workshop will take place from August 14 to 18, 2023,
For information on the venue, prices and registration, visit the Squamish BEAST Tamers website.
Details on the programme will be posted here as soon as they are available, so check back often for updates!
The first fully-online Taming the BEAST workshop was held last week! An enormous thank you to each and every one of the speakers, tutors and participants for your efforts in overcomming the special challenges of the online format. This was a very unique, enjoyable and productive event!
The preliminary programme for Taming the BEAST Online is now available on the TTB Online workshop page.
Our mission has always been to provide BEAST 2 educational resources to as many people as possible. We are therefore happy to announce that we will be able to wave the 150 CHF registration fee for Taming the BEAST Online for a strictly limited number of applicants, on an as-needed basis.
Instructions for applying for a fee exemption are available on the Taming the BEAST Online registration page.
We are very excited to announce the latest Taming the BEAST workshop!
This workshop will take place online from June 07 through to to June 11, 2021 and is being organized by members of Tanja Stadler’s Computational Evolution Group, cEvo.
For further information, including registration fees and information on how to apply, visit the cEvo Taming the BEAST Online homepage.
Due to the ongoing COVID-19 pandemic, we are now officially cancelling the 2020 Taming the BEAST workshop. We again thank everyone for their interest in the workshop, and will announce plans for the next workshop in 2021 as they become available.
Due to the CoViD-19 pandemic, it has been necessary to postpone the Taming the BEAST 2020 workshop. The organizers would like to thank everyone for the widespread interest in this workshop, and will announce a revised schedule for the workshop as soon as possible.
The preliminary programme for the next Taming the BEAST workshop in Oberägeri, Switzerland is now available on the TTB 2020 workshop page.
Reminder: Registration closes on March 1, so if you haven’t registered already you’ll need to get in quickly! Registration is via this web page. (Registration does not require payment, you will only be invoiced when your application is approved.)
We are very happy to announce that registration for the next Taming the BEAST workshop, to be held in Oberägeri, Switzerland, is now open!
The workshop will take place from May 31 through to June 5, 2020, and is once again being organized by members of Tanja Stadler’s Computational Evolution Group, cEvo.
For further information visit the cEvo Taming the BEAST 2020 homepage.
We are excited to announce that the next installment of Taming the BEAST will once more be in Switzerland!
The workshop will take place from May 31 through to June 5, 2020, and is once again being organized by members of Tanja Stadler’s Computational Evolution Group, cEvo.
Registration will open shortly.
For further information visit the cEvo Taming the BEAST homepage.
Check back often for updates!
The sixth Taming the BEAST workshop was held last week at Quest University in Squamish, British Columbia. Thanks to all of the invited speakers, instructors and participants for making it a very enjoyable experience! I hope all of the participants enjoyed it as much as we did! A huge thank you also to Francois Cholette and Jeffrey Joy for organising a fantastic workshop in a stunning location!
The lecture slides and tutorials used during the workshop are available online from the links displayed on the workshop programme.
The programme for the next Taming the BEAST workshop in Squamish, BC is now available on the TTB Eh! workshop page.
The official webpage for the upcoming Taming the BEAST workshop in Squamish this year is now live! You can also access this link directly from the workshops page.
The fifth Taming the BEAST workshop was held last week at the University of Sydney, Australia. An enormous thank you goes to all of the speakers and participants for making this once again such an enjoyable and productive event!
All of the lecture slides and tutorials used during the workshop are available online from the links displayed on the workshop programme.
We are excited to announce that the first North American Taming the BEAST workshop will be held in Squamish, BC, Canada!
The workshop will take place from 12-16 August this year and is being hosted by BC Centre for Excellence in HIV/AIDS and the JC Wilt Infectious Diseases Research Centre.
Check back often for updates!
The final programme for Taming the BEAST Down Under is now available on the TTB Down Under workshop page.
A preliminary programme for Taming the BEAST Down Under is now available on the TTB Down Under workshop page.
We are delighted to announce that the next Taming the BEAST workshop will be in Sydney, Australia!
The workshop will take place from 17-22 February next year, and is being organized by the Molecular Ecology, Evolution and Phylogenetics lab at the University of Sydney.
For further information visit this page or refer to the flyer below.
Check back often for updates!
The fourth Taming the BEAST workshop was held last week in Oberägeri, Switzerland. An enormous thank you goes to all of the speakers and participants for making this such an enjoyable and productive event!
A preliminary programme for Taming the BEAST in Oberägeri is now available on the Oberägeri workshop page.
We are excited to announce that the next installment of Taming the BEAST will once more be in Switzerland!
The workshop will take place from 17-22 June this year and is being organized by members of Tanja Stadler’s Computational Evolution Group, cEvo. Registration is now open. For further information visit the workshop homepage or refer to the flyer below.
Check back often for updates!
The third edition of Taming the BEAST took place last week at the London School of Hygiene and Tropical Medicine. I had a lot of fun at the workshop in London and also learned a lot. Thanks to a great bunch of participants who came out to learn about BEAST2 with us, I hope you enjoyed the workshop!
A lot of thanks goes to Stéphane Hué for organising and hosting the workshop at the London School of Hygiene and Tropical Medicine. Thanks also to Stéphane Hué, Sebastian Funk and Tanja Stadler for contributing to the cost of the workshop. Many thanks for the great talks from the invited speakers: Oliver Pybus, Alexei Drummond, Tim Vaughan, Huw Ogilvie, Tanja Stadler, Erik Volz, Nuno Faria and Nicola de Maio. All of their slides, as well as the lecture slides are available online. Thanks also to Remco Bouckaert and Walter Xie for their support all the way from New Zealand.
This was the first time the workshop was organised by a group not directly involved in developing BEAST2 packages. I think it went really well and I’m looking forward to the next edition! It was also the first time we ran the BEAST clinic - two 2-hour sessions specifically designed for participants to come to us with their own datasets and problems. I really enjoyed learning about what everyone is doing in BEAST2 and trying to help them improve analyses and get their runs mixing. Unfortunately the workshop was too short to get to everyone and solve all of the problems. I hope everyone got some pointers and got at least their most urgent issues resolved!
Before the workshop we also made a few tweaks to the website, added two new tutorials and updated several of the older tutorials:
Finally, it is now also possible to read the news feed and see tutorial updates by subscribing to the RSS feeds.
Our paper is now available in Systematic Biology!
A preliminary programme for Taming the BEAST in London is now available on the workshops page.
Just a reminder that registration is still open until 26 June and that the workshop costs only £245!
We are happy to announce that the next installment of Taming the BEAST will be in London, where it will be hosted by the London School of Hygiene & Tropical Medicine! Thanks to Stephane Hue for organising!
The workshop will take place from 24-28 July this year and will cost £245. Unlike previous workshops the fee does NOT include accommodation. It’s the first time we are holding a workshop in a big city and it proved just too complicated to book a venue with accommodation, so we ask that participants arrange their own accommodation.
For more information visit the workshop’s homepage.
Registration will be open until 26 June.
A preliminary programme will be posted on the workshops page soon.
It has already been more than two weeks since the second Taming the BEAST workshop took place on Waiheke island in New Zealand. Thanks to the group from the University of Auckland for putting up an amazing workshop in a stunning location! Thanks also to all the speakers for agreeing to take part and making the long journey to New Zealand!
The workshop was the first test of the website as a workshop tool. Although there were a few issues and misunderstandings, the website seems to be working. I’ll be going over the feedback from the workshop in the next month and integrating any suggestions to the website. We also identified some issues with a few of the tutorials during the workshop and I’ll also be updating them soon as well. If there are any further issues, please raise them on the Github repository of the tutorial in question. Finally, all of the lecture slides from the workshop have been uploaded and are available from the workshops page.
We are currently discussing and planning the next workshop in the series and it will be posted here as soon as the dates have been finalised!
The next Taming the BEAST workshop is officially about to start, on the beautiful Waiheke island, in the Hauruki Gulf of New Zealand! This time the workshop was organised by Alexei Drummond’s group at the University of Auckland. The workshop program can be found here.
To prepare for the workshop we also uploaded 5 (five!) new tutorials and updated several of the older tutorials. The new tutorials are:
Thanks to Tim Vaughan, Walter Xie, Remco Bouckaert, Huw Ogilvie, David Duchêne and Simon Ho for their help preparing and checking tutorials!
I would also like to congratulate Tanja Stadler and her group for successfully writing a grant to host another Taming the BEAST workshop and to support 3 more workshops in the future! Keep checking the workshops page for updates on future workshops!
All of the lecture slides from the workshop held in Engelberg are now available for download. The slides are kept in a GitHub repository, and there is a link to the repository on the workshops page. Thanks to everyone for making their slides available! Please do not forget to attribute the authors if you use the slides anywhere!
In June this year we organised the first Taming the BEAST workshop, surrounded by the Swiss Alps, in Engelberg, Switzerland. The idea of holding a BEAST 2 workshop has been brewing for a while, motivated by the need for a Bayesian phylogenetics workshop that is focused on BEAST 2 and facilitates exchanges between developers and (both current and future) BEAST 2 users. During the workshop we realised that the materials we created and assembled for the workshop represent a very useful resource and that we could reach many more users by making them available to the community.
Originally we intended to simply release the tutorials and lecture slides in a single GitHub repository. However, after some discussions, we decided to build a Taming the BEAST website. The website provides a user-friendly front-end that collects tutorials, lecture slides and more in one location. To start, we have collected all of the tutorials from this year’s workshop on the website (a couple are still missing, but they will be uploaded soon). Behind the scenes each tutorial lives in its own GitHub repository, where it’s bundled along with all of the supporting data files and scripts needed to run the tutorial. We’ve also bundled example XML and output files with each tutorial. Although everything is available on a GitHub repository, there are also links to all of the files on the website.
All tutorials are available as PDF files from the website. We have started converting some of the tutorials to Markdown, which can be more easily displayed in a web browser. So far, three tutorials have been converted:
We hope that with time we will be able to convert all tutorials to Markdown. Don’t worry if you want to print or download tutorials - PDFs of tutorials will always be available! (At present there is no PDF tutorial for the Structured birth-death model, but this will be uploaded shortly).
Since tutorials are stored on GitHub, it is easy for anyone in the community to contribute to Taming the BEAST. Because each tutorial is stored in its own repository the website is robust to changes in any single repository. We hope that the community will play an active role in curating the tutorials, either by updating or correcting existing tutorials, or by contributing new tutorials. For instance, someone who has developed a new BEAST 2 package can add a tutorial for the package to Taming the BEAST, where it will be accessible in a central location, along with other BEAST 2 tutorials, making it easier for BEAST 2 users to become familiar with the package.
We hope that the website will serve as a central repository that collects BEAST 2 teaching resources in one central location. The resources on the website are not only useful for individuals who want to learn how to use BEAST2, but also as a teaching aid, for workshops or even regular university courses.


Ronelle King
Sometimes it just takes a tweet to start a change. In 2016 Ronelle King a Bajan feminist activist boldly decided to share her own story of sexual assault on social media, calling for other women to share their stories with the #lifeinleggings. Leggings as an item of clothing seen to be revealing was used fight against the idea that a woman could dress or behave differently in order to not attract attackers.
 It reached a breaking point. Why should I have to map out my route before leaving home to be able to lessen the amount of harassment I receive that day? Why should I have to pretend to give a man my number because I’m afraid that he might react violently if I decline to do so? I shouldn’t have to. I should be free to exist in my own country without fear of sexual violence.” (Nation News, 2017).
What started as a local online discussion of gender-based violence started a movement that saw women from countries across the Caribbean sharing their experiences of assault. The wide-scale attention drawn by the movement has led to the formation of a charity, “Life In Leggings: Caribbean Alliance Against Gender Based Violence” and UN Women partnership. In March, there are also to be 7 marches taking place in 7 Caribbean nations.
Ronelle King is based in Barbados.
Go to her facebook or Twitter to find out more about current projects.


Moomoo Luxury Hotels
Experience Stay Events & WeddingsMoomoo Luxury Hotels is a collection of the finest independent luxury hotels in The Seven Isles. Find out more!
Glorious views of the crystal-clear waters of the Great Eastern Ocean come as standard in all of our five-star hotels and luxury villas. Alongside stunning seaside locations, effortlessly elegant interiors and impeccable service – including the assistance of our knowledgeable concierges – you can look forward to a stylish selection of destination bars and restaurants, luxury spas, boutiques, and even a PADI dive centre.
Our suites of contemporary conference centres are both impressive and flexible. Plush interior design, swathes of natural sunlight and picture – perfect panoramas of the sea make them just as popular a choice for weddings and other tailor-made events as for business. Book your holiday or event with us – and check our special offers – to experience the very best the The Seven Isles has to offer. Send us a pigeon to find out more.


Please open your browser's console to view the results of running the examples.
The code for the examples can be found in javascripts/examples.js


QBackingStore Class
The QBackingStore class provides a drawing area for QWindow. More...
| Header: | #include <QBackingStore> |
| qmake: | QT += gui |
| Since: | Qt 5.0 |
Public Functions
| QBackingStore(QWindow *window) | |
| ~QBackingStore() | |
| void | beginPaint(const QRegion ®ion) |
| void | endPaint() |
| void | flush(const QRegion ®ion, QWindow *win = Q_NULLPTR, const QPoint &offset = QPoint()) |
| QPlatformBackingStore * | handle() const |
| bool | hasStaticContents() const |
| QPaintDevice * | paintDevice() |
| void | resize(const QSize &size) |
| bool | scroll(const QRegion &area, int dx, int dy) |
| void | setStaticContents(const QRegion ®ion) |
| QSize | size() const |
| QRegion | staticContents() const |
| QWindow * | window() const |
Detailed Description
The QBackingStore class provides a drawing area for QWindow.
QBackingStore enables the use of QPainter to paint on a QWindow with type RasterSurface. The other way of rendering to a QWindow is through the use of OpenGL with QOpenGLContext.
A QBackingStore contains a buffered representation of the window contents, and thus supports partial updates by using QPainter to only update a sub region of the window contents.
QBackingStore might be used by an application that wants to use QPainter without OpenGL acceleration and without the extra overhead of using the QWidget or QGraphicsView UI stacks. For an example of how to use QBackingStore see the Raster Window Example.
Member Function Documentation
QBackingStore::QBackingStore(QWindow *window)
Constructs an empty surface for the given top-level window.
QBackingStore::~QBackingStore()
Destroys this surface.
void QBackingStore::beginPaint(const QRegion ®ion)
This function is called before painting onto the surface begins, with the region in which the painting will occur.
See also endPaint() and paintDevice().
void QBackingStore::endPaint()
This function is called after painting onto the surface has ended.
See also beginPaint() and paintDevice().
void QBackingStore::flush(const QRegion ®ion, QWindow *win = Q_NULLPTR, const QPoint &offset = QPoint())
Flushes the given region from the specified window win onto the screen.
Note that the offset parameter is currently unused.
QPlatformBackingStore *QBackingStore::handle() const
Returns a pointer to the QPlatformBackingStore implementation
bool QBackingStore::hasStaticContents() const
Returns a boolean indicating if this window has static contents or not.
QPaintDevice *QBackingStore::paintDevice()
Implement this function to return the appropriate paint device.
void QBackingStore::resize(const QSize &size)
Sets the size of the windowsurface to be size.
See also size().
bool QBackingStore::scroll(const QRegion &area, int dx, int dy)
Scrolls the given area dx pixels to the right and dy downward; both dx and dy may be negative.
Returns true
if the area was scrolled successfully; false otherwise.
void QBackingStore::setStaticContents(const QRegion ®ion)
Set region as the static contents of this window.
See also staticContents().
QSize QBackingStore::size() const
Returns the current size of the windowsurface.
QRegion QBackingStore::staticContents() const
Returns a pointer to the QRegion that has the static contents of this window.
See also setStaticContents().
QWindow *QBackingStore::window() const
Returns a pointer to the top-level window associated with this surface.


For my work experience in 4th year, i was chosen to be as a ski instructor for the annual 2nd ski trip.
This was an incredible experience as i led multiple groups of students ranging in abilities down various level of slopes.
Along the way i thought students different skiing techniques. It was a very rewarding experience as i got to see students progress and improve throughout the week.


Dentist in Salt Lake City, Dr Brigham Stoker DDS, 144 South 700 East, Suite 2, Salt Lake City, UT 84102
801.505.6850
home
staff
reviews
services
office
contact


Enjoy a nice warm night at the beach with the bonfine
Rent a private spot along the beach
We have our own private beach
Experiance an ice cold cocktail on the beach


404
GUH.. Maybe.. We have
PROBLEMS HERE
MY BAD this page couldn't be found.
RETURN HOME
Move ur mouse
left or Right :)


{% extends "error_layout.html" %} {% block title %}{{ _('PyClanSphere Internal Server Error') }}{% endblock %} {% block body %}
{% trans %} An internal error happened in the application. The site administrator has been informed about the problem. {% endtrans %} {% endblock %}


The Garden for Cardboard is an educational app in which users explore the details of high-resolution 3D scans of real works of art. Users enter the Garden and can explore the space around them. They can then enter an inspection mode for a given sculpture and take a closer look a the finer details of the artwork.
The Garden for Cardboard is currently available on Android here. An iOS version is under development and will be released shortly. The website can be found here.
TVRN website
The Garden screenshot


1.What a responsive site is, and why responsiveness is important?
Responsive Web Design makes your web page look good on all devices (desktops, tablets, and phones). Responsive Web Design is about using CSS and HTML to resize, hide, shrink, enlarge, or move the content to make it look good on any screen
2.What mobile first design is, and why its important?
Mobile first is an approach to responsive design: design for smaller screens first, then add more features and content for bigger and bigger screens.
3.What frameworks are, and their pros and cons?
A CSS framework is a piece of software that has a lot of options for you to use in your HTML development, potentially making it faster and easier for you to develop your website or web app.It enables cross browser functionality and increases the speed of development. But it restrict your freedom and forces you to use framework's semantics.
4. What a wireframe is, and why we use it?
Wireframe is a visual guide that represents the skeletal framework of a website. Wireframes are created for the purpose of arranging elements to best accomplish a particular purpose.
5.The aspect of your wireframe you found difficult to implement and why?
Yes. I have created a wireframe for the purpose of developing the same as that in the design. But I have used only half of the wireframe design because while implementing it doesn't suits to the screen and also affect the elegance of the web page. Also for implementing the particular design will take time.


| AllocateParametersBuilder |
|
| AllocationFailedException |
AllocationFailedException is a checked exception thrown when an an attempt to allocate a dataset fails.
|
| AllocationUnit |
Enumeration of z/OS allocation units.
|
| DataSetAccessException |
DataSetAccessException is a checked exception thrown when an attempt to perform an action on a dataset fails
because the associated z/OS host credentials do not have access authority for that dataset.
|
| DataSetExistsException |
DataSetExistsException is a checked exception thrown when an an attempt to allocate a dataset fails because the dataset
already exists.
|
| DataSetInUseException |
DataSetInUseException is a checked exception thrown when an attempt to perform an action on a dataset fails
because it is in use.
|
| DataSetMigratedException |
DataSetMigratedException is a checked exception thrown when an attempt to perform an action on a dataset fails
because the dataset is migrated.
|
| DataSetNotFoundException |
DataSetNotFoundException is a checked exception thrown when an an attempt to perform an action on a dataset
fails because the dataset does not exist.
|
| DataSetOrganization |
Enumeration of z/OS dataset organizations.
|
| DataSetOutOfSpaceException |
DataSetOutOfSpaceException is a checked exception thrown when an attempt to perform an action on a dataset fails because the
dataset is out of space.
|
| DataSetType |
Enumeration of z/OS dataset types.
|
| DefineGenerationDataGroupParametersBuilder |
|
| DefinitionFailedException |
DefinitionFailedException is a checked exception thrown when an an attempt to define a generation data group fails.
|
| DeviceType |
Enumeration of z/OS device types.
|
| GenerationDataGroupExistsException |
GenerationDataGroupExistsException is a checked exception thrown when an an attempt to define a generation data group fails
because the generation data group (or a like-named dataset) already exists.
|
| GenerationDataGroupNotFoundException |
GenerationDataGroupNotFoundException is a checked exception thrown when an an attempt to perform an action on a generation
data group fails because the generation data group does not exist.
|
| GenerationDataGroupType |
Enumeration of z/OS generation data group types.
|
| IAllocateParameters |
Parameters specifying the attributes to use when allocating a new data set.
|
| IAllocateParameters.AllocationUnit |
Enumeration of the supported allocation units used for allocating a new data set.
|
| IDataSet |
A dataset that resides on a z/OS host.
|
| IDataSetCharacteristics |
z/OS dataset characteristics.
|
| IDefineGenerationDataGroupParameters |
Parameters specifying the attributes to use when defining a new generation data group.
|
| IDefineGenerationDataGroupParameters.Ordering |
Enumeration of the ordering types for a generation data group.
|
| IEnqueueOwner |
Representation of a user/job that has an enqueue on a z/OS dataset.
|
| IGenerationDataGroup |
A generation data group that resides on a z/OS host.
|
| IMember |
A member that resides on a z/OS host.
|
| IMigratedDataSet |
A migrated dataset that resides on a z/OS host.
|
| IPartitionedDataSet |
A partitioned dataset (PDS) that resides on a z/OS host.
|
| IPartitionedDataSetCharacteristics |
Partitioned dataset (PDS) characteristics.
|
| IPartitionedDataSetMember |
A partitioned dataset (PDS) member that resides on a z/OS host.
|
| IPartitionedDataSetMemberStatistics |
Partitioned dataset (PDS) member statistics.
|
| ISequentialDataSet |
A sequential dataset that resides on a z/OS host.
|
| ISequentialDataSetCharacteristics |
Sequential dataset characteristics.
|
| IVSAMCluster |
A VSAM cluster that resides on a z/OS host.
|
| IVSAMClusterCharacteristics |
VSAM cluster characteristics.
|
| IVSAMDataComponentCharacteristics |
VSAM data component characteristics.
|
| IVSAMDataComponentStatistics |
VSAM data component statistics.
|
| IVSAMIndexComponentCharacteristics |
VSAM index component characteristics.
|
| LoadOption |
Enumeration of VSAM data component load options.
|
| MemberAlreadyExistsException |
MemberAlreadyExistsException is a checked exception thrown when attempting to create a PDS member that already exists.
|
| MemberInUseException |
MemberInUseException is a checked exception thrown when an attempt to perform an action on a partitioned dataset member
fails because it is in use.
|
| MemberNotFoundException |
MemberNotFoundException is a checked exception thrown when an an attempt to perform an action on a member fails
because the member does not exist.
|
| MemberType |
Enumeration of z/OS member types.
|
| RecordFormat |
Enumeration of z/OS record formats.
|
| VSAMOrganization |
z/OS VSAM organizations.
|


Your browser doesn't support the features required by impress.js, so you are presented with a simplified version of this presentation.
For the best experience please use the latest Chrome, Safari or Firefox browser.
Say Goodbye to “It works on my machine” with Chef and Vagrant!!
by: Curt Gratz
Obligatory Who Am I
Co-owner of
Computer Know How
Member of TEAM ColdBox
Open CFML Foundation
Husband/Dad
What will we be covering?
- The Problem - “it works on my machine”
- The Solution - Chef and Vagrant
- Setting up a “Vagrant File” and "CookBooks"
- Comparing stacks quickly using Chef and Vagrant
The Problem
Solution 1: The Uber Readme
If you're lucky....
Install Party
- Webserver (Apache,Ngnix,IIS)
- CFML Engine (Adobe, Railo, Bluedragon)
- DB (MSSQL, MySQL, Oracle, etc)
- caching software (Couchbase, MongoDB, Terracotta)
Config Party (oh wait, theres more)
- Webserver
- CFML Engine
- DB Server
- cache
Setup Party (nope, not done yet)
- Get Code (clone repo, FTP, etc)
- Restore DB, run scripts
- Configure all the software to point to code
The Problem
PROBLEM
- Prone to human error
- Configuration errors
- Quickly drop out-of-sync production
- Requires special maintance
- Heavy Maintance
- Time Consuming
- Platform specfic
Solution 2: The Setup Script
If you're lucky....
Script Party
- Get Script Code (clone repo, FTP, etc)
- Configure script for your machine
- Run script
The Problem
PROBLEM
- Configuration errors
- Quickly drop out of sync production
- Requires special maintance
- Platform specfic
Solution 3: GLHF
Good Luck Have Fun....
The Problem
PROBLEM
- Not Repeatable
- Not Verifiable
- Not Isolated
- Difficult
- SLOW,SLOW,SLOW
The Solution
Chef and Vagrant....
Vagrant
A tool for creating, managing, and distributing portable development environments
Vagrant
Zero to VM in seconds
Vagrant
- CLI managment
- VM Creation
- Provisioning
- Scripted properties
- Single command setup
Vagrant
- Works on
- Mac
- Linux
- Windows
- ChromeOS
Vagrant
- Providers
- VirtualBox
- VMWare
- Hyper-V
- AWS
- Rackspace
- Digital Ocean
- and many more
Chef
Chef models IT infrastructure and application delivery as code, giving you the power and flexibility to achieve awesomeness.
Chef
- Code centeric
- Scalable
- Consistant
- Efficient
- Cookbooks
SOLUTION
- Repeatable
- Verifiable
- Isolated
- Understandable
- Pretty Fast
Vagrant Basic Principles
- Boxes
- VagrantFile
- 'vagrant' CLI
vagrant CLI
- vagrant up
- vagrant destroy
- vagrant halt
- vagrant suspend
You had me at hello
OK, great, so show me!


top
|
up
| prev | next
State Enumeration
Definition at line
82
of
Debugger.hpp
Enumerators
Name
Value
initializing
programStarted
running
stopped
programExitedNormally
programExited
signalReceived
exitingDebugger
top
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up
| prev | next


UserConnection: connection to server(s)
Summary: Brouser() user event digital twin.
Description: connects.
ConvergenceDomain: _domain or undefined
EventEmitter: _emitter
string: _extid
string : new ext id
string: _extid
string: _id
string: _status
string : new status ('offline','available','dnd', 'away')
string: _status
(optional): (user:username, password:passwd) - if not supplied try to reconnect
Promise
Promise
string[]: array of userid
string: session id
boolean: true if user is authenticated
boolean: true if user is connected to server(s)
object: {fields:['firstname','lastName'], term: 'pippo', offset:0, limit:10, orderBy:{field:'lastName', ascending: true}}
user array: [{username, firstName, lastName, displayName, email, isAnonimous}]
string: username to search
user: {username, firstName, lastName, displayName, email, isAnonimous}
string: username to search
user: {username, firstName, lastName, displayName, email, isAnonimous}
(optional): ["user1", "user2",...] - if not supplied get userlist from Api erver
subscriptions: array of subcription
string: username to unsubscribe
Generated using TypeDoc
string: user id


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface HttpConnectionManager
An interface for classes that manage HttpConnections.
HttpConnection
,
HttpClient.HttpClient(HttpConnectionManager)
| Method Summary | |
|---|---|
void |
closeIdleConnections(long idleTimeout)
Closes connections that have been idle for at least the given amount of time. |
HttpConnection |
getConnection(HostConfiguration hostConfiguration)
Gets an HttpConnection for a given host configuration. |
HttpConnection |
getConnection(HostConfiguration hostConfiguration,
long timeout)
Deprecated. Use #getConnectionWithTimeout(HostConfiguration, long) |
HttpConnection |
getConnectionWithTimeout(HostConfiguration hostConfiguration,
long timeout)
Gets an HttpConnection for a given host configuration. |
HttpConnectionManagerParams |
getParams()
Returns parameters associated
with this connection manager. |
void |
releaseConnection(HttpConnection conn)
Releases the given HttpConnection for use by other requests. |
void |
setParams(HttpConnectionManagerParams params)
Assigns parameters for this
connection manager. |
| Method Detail |
|---|
HttpConnection getConnection(HostConfiguration hostConfiguration)
hostConfiguration
- the host configuration to use to configure the
connection
HttpConnection.setHttpConnectionManager(HttpConnectionManager)
HttpConnection getConnection(HostConfiguration hostConfiguration, long timeout) throws HttpException
hostConfiguration
- the host configuration to use to configure the
connectiontimeout
- - the time (in milliseconds) to wait for a connection to
become available, 0 to specify an infinite timeout
HttpException
- if no connection becomes available before the
timeout expiresHttpConnection.setHttpConnectionManager(HttpConnectionManager)
HttpConnection getConnectionWithTimeout(HostConfiguration hostConfiguration, long timeout) throws ConnectionPoolTimeoutException
hostConfiguration
- the host configuration to use to configure the
connectiontimeout
- - the time (in milliseconds) to wait for a connection to
become available, 0 to specify an infinite timeout
ConnectionPoolTimeoutException
- if no connection becomes available before the
timeout expiresHttpConnection.setHttpConnectionManager(HttpConnectionManager)
void releaseConnection(HttpConnection conn)
conn
- - The HttpConnection to make available.void closeIdleConnections(long idleTimeout)
idleTimeout
- the minimum idle time, in milliseconds, for connections to be closedHttpConnectionManagerParams getParams()
parameters
associated
with this connection manager.
HttpConnectionManagerParams
void setParams(HttpConnectionManagerParams params)
parameters
for this
connection manager.
HttpConnectionManagerParams
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


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Right after an app is installed it offers to create a new Bitcoin wallet which lets you send and receive regular Bitcoin transactions. Wallet data is always stored encrypted on your device so you would have to come up with a passcode of your choice while creating it.
Every new Bitcoin wallet is generated randomly and hence it’s not tied to your device in any specific way. This is an important point which in particular means that just reinstalling an app and creating another Bitcoin wallet won’t by default restore your previous balance, you would have a completely new wallet instead!
There is, however, a simple way to preserve your balance across app reinstalls and even across different devices: you need to write down a mnemonic code once Bitcoin wallet is created.
It is essentially a secret phrase comprising of 12 random words which is automatically generated by application when a new wallet is created. Please remember: whoever knows your mnemonic code also fully controls your bitcoins so it should be kept private at all times.
Also, only mnemonic code can get your bitcoins back in case if you lose your device or forget your wallet password or simply uninstall an app by accident, it's that important! One of the following actions should be taken once a new wallet is created:
In general there are two different pieces of private data associated with your wallet: mnemonic code and wallet passcode.
Passcode is required to send coins from within an app and mnemonic code is the only way to restore your balance in emergency situations such as lost/stolen device, forgotten passcode, uninstalled app etc.
Next: Using Lightning wallet


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All set! See you at nwHacks! Sorry to hear that. Hopefully we'll see you at nwHacks next year! All set! We'll let you know about travel reimbursements shortly.


A unit of area, equal to the area of a square with sides one foot long.
One square foot is 144 squre inches, or 929.0304 cm2.


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EDULOD
LodIDE: Use Linked Open data!
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Avoiding something totally is infinitely easier than showing some restraint and trying to live with balance.


xxInfo: AccessTableWithNoView
xxThe current information is empty.
Account
xxAccount
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Last Reconciliation Balance
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| Application | Status | Slots | Health Health/Unhealth/Unknown | Updated | CPU Allocated / Used | Memory Allocated / Used | Disk Allocated / Used |
|---|---|---|---|---|---|---|---|
| {/app.name/} | {/app.state/} | {/app.instances/} | 3/0/0 | {/app.updated | date: 'yyyy-MM-dd HH:mm'/} | 0.3/0.05 | 100M/59M | 10G/1.1G |


@jl777c I've called nonce succesfully from first node, but on second node daemon crashing on nonce exchange attempt:
./komodo-cli -ac_name=MUSIG cclib nonce 18 \"[%22b8d60ea48994385b8e7038b5586b2475211225e0c6e66173aaedcd8f437c3945%22,0,%2203e5463b110330e15ccc5377de92678fe998760b01ea99caa89194fb3ef9d40923%22]\"
Thread 9 "zcash-httpworke" received signal SIGSEGV, Segmentation fault.
[Switching to Thread 0x7fffd903a700 (LWP 3344)]
__memcmp_avx2_movbe () at ../sysdeps/x86_64/multiarch/memcmp-avx2-movbe.S:68
68 ../sysdeps/x86_64/multiarch/memcmp-avx2-movbe.S: No such file or directory.


cloud_queue
memory
sd_card
storage
show_chart
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Start guest with media
Choose Media
Insert media into instance
Choose Media
Eject media from instance


@JvmStatic fun getPriceString(price: Int, currency: Currency): String
Converts an integer price in the lowest currency denomination to a Google string value. For instance: (100L, USD) -> "1.00", but (100L, JPY) -> "100".
price
- the price in the lowest available currency denomination
currency
- the Currency used to determine how many digits after the decimal
Return
a String that can be used as a Pay with Google price string


Aimee's Garden designs each urban farm to spec, with options ranging from raised beds to rooftop farms.
From backyard raised beds to rooftop farms on grocery stores, we’ve installed and continue to maintain urban farms of all shapes and sizes around the Portland area.
Our skilled team of horticulture and garden education experts provide the expertise to grow the highest yield possible for you, or teach you how to successfully grow for yourself.
Aimee's Garden staff are experienced and passionate organic farmers specialized in designing and maintaining urban farms for high production value and educational purposes.
Full maintenance services are available to clients looking to maximize yield in whatever space is available at their home or business, whether on rooftops, ground level, or using indoor growing systems.
Their focus on customer service is top rate and I know I can always count on them to assist me with anything I need. The team at Aimee's Garden has been awesome to work with. They go above and beyond the call of duty.
Aimee's Garden provides excellent service and quality of product and has kept us happy at Casual Gamer Cafe for over 3 years.
This is a company that provides quality produce and excellent customer service while also valuing the well-being of our staff. We have established a great working relationship with Aimee's Garden in helping to educate our employees about the nutrition available to them through their food.
Sign up for our email list to get reflections from Aimee, event information and updates from the staff at Aimee's Garden.


hqsf
458 S. Van Ness, San Francisco, CA 94103
Mission
Hacker_quarters [SF] is a hacker guild which values
technical proficiency, open access and universal knowledge,
sustainable practices, communal quantified self, and above all,
mutual excellence.
Manifesto
We hackers do ordain:
-
Knowledge is to be respected, preserved, protected,
valued, admired, crafted, curated, enriched, and made more
accessible to the world. Liberators of Knowledge
-
Sustainable practices be instituted and maintained.
Generators of Surplus
-
Safety and refuge shall be awarded to those who selflessly
learn, teach, and apply themselves. But not at the expense
of any other rule. Champions of the
Academy.
-
Criticism shall be invited, considered, and deemed the highest
level of caring. It shall not met with
defensiveness. Embracers of Wisdom
-
None be granted entry who wish to remain ignorant of the
ways of mathematics. Preventors of Ignorance
-
procrastination not be projected onto others without thought. Practitioners of Productivity
-
Substances one would not partake in publicly be disallowed. Observers of Moderation
-
Hack Sabbath will be observed, House attended, and that which is to the benefit of the whole, prevailed. Supporters of the Whole
-
That thanks and forgiveness be granted to each other when possible. Considerers of Forgiveness
Sponsors & Partners


Additional documentation
As scorekeepers you have three main duties:
At most games there should be 2 scorekeepers so you should have someone to help.
Everything you need to score keep should be in the scorekeeper kit. This includes:
Use the contact sheet to:
The official score and stats are kept on the score sheet. Please try and fill in out as accurately as possible. If you did not see who scored the goal or threw the assist, please ask the team that scored. Take a look at the example score sheet
We are also doing live score reporting using a tablet. A test system of which can be found at Score a Game. This is a test system so feel free to try it out. You do not need to login to use the test system.
At the fields, the tablets should be logged on and ready to go. To start scoring a game select SCORE GAME from the navigation bar.
At the end of the game, ensure both captains sign the score sheet and each spirt captain completes a spirit score sheet.
You are acting as a timekeeper as well as a scorekeeper. You will have a whistle (there are wipes to clean it before/after you use it) and a stopwatch (or you can use the timing on the tablet). You blow the whistle as follows:
If there are observers at the game, the score keepers are not responsible for time management.
You are our eyes and ears on what is happening on the fields and during games. If you have any problems or concerns, please find one of the members of the local organizing committee or contact us by using the contact sheet.
Have a great time watching Canada’s top teams compete at the Canadian Ultimate Championships.


Its my honor and pleasure to be able to offer you an invite to our HPE intern WhatsApp group
-SHEIKH MOIN
STEP 1:
All you need to do is click on "COPY LINK" button and group link will be copied to your clipboard
STEP 2:
You can use your favorite browser to browse the link and join the family !!
https://chat.whatsapp.com/invite/DBtxB13qj47LFkaZVv5p4O