The did:bsv Method
I am proposing a DID Method for the Bitcoin SV network that is W3C compliant, did:bsv:. At its core it is an SPV enabled portable DID method (superior to other methods) that utilizes the capabilities of the metanet for its CRUD & search capabilities. This DID Method will be an open standard for any organisation or Developer to use within the BitCoin ecosystem.
A BSV DID is structured as followed:
did:bsv:Ay3zAr3KO88zrlhXZBoS7WyylFmrDwtwQHWHGq
The string represents the public key of the user and is unique to that Identity. It is a compressed pubkey in Base58 encoding.
I chose a raw compressed Public Key in Base58 encoding to be the did:bsv identifier because it is unique, short and is immediately useful information. Users can encrypt data to that pub key and verify signed information from that DID easily. So it brings with it a natural efficiency which will be the hallmark of the Repzip methodology going forward.
While most DID methods on other blockchain utilize QR codes for certain operations (Which we can use too) I have focused on integrating the DID system with the Paymail protocol.
The Draft did:bsv: Specification is a part of this hackathon entry and can be viewed here:
https://repzip.github.com/did-bsv
References
https://nchain.com/app/uploads/2019/06/The-Metanet-Technical-Summary-v1.0.pdf


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Meet the Team
HIMANSHU SAINI
GOURAV DADHICH
MOHIT THAKUR
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GAURAV JAIN
IZHAR KHAN
WE'RE A TINY TEAM BUT OUR WORK IS ABSOLUTELY HUGE


Virtual Reality Hackathon Asia 2016 @Beijing
Developers get together and do all you can do with VR in two days.
Connect with people, experience Virtual Reality, have fun.
Aug. 5 18:00 - 22:00 Kickoff; Aug. 6,7 Hackathon
Shift to Future
Craft's spirit, hacker's mood.
The aim to host a Virtual Reality Hackathon is to promote the technologies and products for Virtual Reality. It gathers the pioneers and drive the innovations for software, hardware and total solutions, after all, it is for fun. This event has been supported with communities and companies all over the world.
Build Community
Take the best, spread it out.
Learn more
Focus on the developement of Virtual Reality industry, especially gaming, video, application, integration, OS and SDK. Until now, many experts have been engaged into our wechat chatting group. Scan the QR Maker with wechat client to join us. Note: add 'vrdev' as the comment with requesting as a friend.


--- title: "Plant Propagation" date: "2000-01-01 21:04:03 -06:00" categories: - adult subtitle: "" layout: "events" event-image: "botany-basics.jpg" event-dates: "SATURDAY, MARCH 20" event-location: "ONLINE VIA ZOOM" button-type: "register" tickets-link: "" registration-info: "" instructor-info: "Nate Staker" member-cost: "$36" public-cost: "$45" event-notes: "online" tickets-button: "" published: false ---
SATURDAY, APRIL 3 @ 10am - 12PM
REGISTRATION REQUIRED
Online class registration includes one free admission pass to Red Butte Garden.
Learn about all the different techniques of how to propagate from seed, cuttings, layering, division and tissue culture. This class will be hands on to learn these techniques.


The event was also an opportunity to inaugurate the new showroom pavilion that, together with the showroom, completes the company’s exhibition space. The new pavilion, which is architecturally inspired by winter gardens, is connected by a short path to the indoor showroom, crossing the outdoor area and arriving at the new structure, surrounded by greenery and destined for the presentation of the latest Atlas Concorde products.
During the evening, guests were taken on a dynamic, engaging tour, surrounded by contemporary and multi-faceted interior design projects, concluding the evening with music, entertainment, and an exclusive gala dinner. The Open Day was an opportunity to spend time together in a context that demonstrates the potential of porcelain floors and wall tiles rich in formats, colors, and finishes, suitable for designing interior and exterior spaces with perfect stylistic continuity.


 But I love Straw Cigarretes. Iīm not sure if they are available in the US but here in Brazil they are quite common. There are some industrialized branches, but the real thing comes from the Brasilian peasants, those who live in the countryside. They roll it themselves (using rolled tobbaco and corn staw) and smoke it while drinking Cachaįa (a hard liquor made from sugarcane, the brasilian vodka or sake).
So, since I love the root culture, I like to do as they do, but in a diferent context. Sometimes I drink a couple of beers and some Cachaįa. when I feel that I am under the effects of alcohol (but not drunk) I smoke the cigarrete mentioned before (regular cigarretes work as well but smell bad) in 3 or four tokes, then I let it go off. Since I donīt smoke and the tobacco in these cigarretes are strong, I feel the nicotine very present. I start feeling light, then dizzy, then I feel as if Iīm floating. When I feel that Iīm floating, I walk a litte bit so I feel Iīm flying. Itīs really good.
I repeat it a few times during the night and when I donīt get strong effects any longer I quit. And keep quited for 3, 4 months, until I have another drinking night.
I really like the feeling. If you have access to strong tobacco cigarretes, try it, but donīt smoke too much. Itīs addictive and the good effects are only there if you smoke a few tokes in big intervals.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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Disallows empty blocks.
Blocks with a comment inside are not considered empty.
Empty blocks are often indicators of missing code.
Not configurable.
"no-empty": true
{}


{% load i18n %}
{% trans "This is where you should reverse-proxy your SPARQL endpoint server." %}
{% trans "If you're seeing this on a website, contact site administration." %}


WITNESS LIST
Health & Human Services
June 20, 2011 10:00 AM
FOR:
Huang, Philip Medical Director (Smoke Free Texas; American Cancer Society; American
Heart Association; American Lung Association; Livestrong; Texas Medical Association;
CTFK; TPS), Austin, TX
Moore, Mitchell Licensed Chemical Dependency Counselor (Self), Midland, TX
Todd, Bruce Former Mayor of Austin (Self), Austin, TX
AGAINST:
Brinson, Philip General Counsel (Fast Eddies Billiards), Houston, TX
ON:
Schleifer, Jessica Policy Advisor (Senator Ellis), Austin, TX
Registering, but not testifying:
For:
Alexander, Troy Associate Director for Advocacy (Texas Medical Association), Austin,
TX
Arnold, Jay Consultant (Texas Parent Teacher Association), Austin, TX
Berndt, Trey Associate State Director (American Association of Retired Persons), Austin,
TX
Bibighaus, Lauren Government Relations Manager (Lance Armstrong Foundation),
Austin, TX
Blackburn, Brent (Self), Midland, TX
Briones, Dolores Vice President of Advocacy - Government Relations (Texas Health
Institute), Austin, TX
Devine, Teresa Senior Health Policy Analyst (Blue Cross Blue Shield), Austin, TX
Eckstein, Kathy Director of Public Policy (Children's Hospital Association of Texas),
Austin, TX
Gonzales, Luis Consultant (March of Dimes), Austin, TX
Gray, James (American Cancer Society), Austin, TX
Huemmer, Maria Communication Director (Texas Catholic Conference - Roman Catholic
Bishops of Texas), Austin, TX
Martinez, James Director of Advocacy (The American Lung Association), San Antonio,
TX
McGettigan, Kelly (Meghan Patrizi), Austin, TX
Olson, Anne Public Policy Specialist (Texas Baptist Christian Life Commission), Austin,
TX
Romo, Joel Senior Director of Government Relations (American Heart Association),
Austin, TX
Sabo, Jason Senior Vice President (United Ways of Texas), Austin, TX
Wilson, Stacy Director of Government Affairs (Community Care and Central Health),
Austin, TX
Wolfe, Jared Executive Director (Texas Association of Health Plans), Austin, TX
On:
Allgeyer, Rick Director, Strategic Decision Support (Texas Health and Human Services
1
WITNESS LIST
Health & Human Services
June 20, 2011 10:00 AM
Commission), Austin, TX
Sharp, Barry Tobacco Program Coordinator (Texas Department of State Health Services),
Austin, TX
Providing written testimony:
For:
Dimitry, Lauren Health Policy Coordinator (Texans Care for Children), Austin, TX
Pate, Gardner (Texas Medical Center), Austin, TX
On:
Foxhall, Lewis Vice President for Health Policy (M.D. Anderson Cancer Center),
Houston, TX
2


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ie.ucd.sensetile.sensorboard.simulator
Interfaces
CloneablePacket
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Classes
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About
Worked on this Android project for a friend who was about to start a blood donation club in his medical college namely Army Medical College, Cumilla. This app includes information about the donors and let the user know if any donor is available to donate blood. I used Firebase database for the records and enabled both online and offline support for the application. Anyone who installed this on their device should be able to add donors on the database and every client installed will be synchronized with the Firebase database when they come online. This app doesn't require active online connection as offline support is enabled. Compiled this app in two modes such as - Admin and General. Admin version has the capability to delete or modify data from the database including all other features the General version can perform. On a short note, for the first time of my life earned some bucks writing an app which makes it special for me.
Development Tools
Android Studio, Firebase Console
Project Screenshot(s) of Admin Version
1. Application Homepage
2. Group Wise List
3. List of Donors
4. Add Donor
5. Donor's Detailed Information
6. Modify/Delete Existing Information
Project Features
- Interactive Minimal UI
- Online/Offline Support
- Categorizing Donors by Blood Group
- Add/Delete/Update Donor Information
- Automatic Calculation of Donor's Eligibility
Notes
- COPYRIGHT OF THIS PROJECT IS RESERVED & COPYING, SELLING, USING THE DESIGN IS TOTALLY PROHIBITED.
Go Back to Projects Next Project


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You are not eligible to apply for an older person's bus pass in Argleton
Because you don't live within the boundaries of the city of Argleton, you can't apply through this council's website.
You should visit GOV.UK to find which council to apply from.


vignettes/Converting_VCF_and_PLINK_formats.Rmd
Converting_VCF_and_PLINK_formats.Rmd
Package smartsnp is not a data-conversion tool. Inspired by the command-line tool SMARTPCA, smartsnp handles SNP datasets in text format and in SMARTPCA formats (uncompressed = EIGENSTRAT or compressed binary = PACKENDANCESTRYMAP) and a general genotype matrix format. However, both VCF (.vcf) and PLINK (.bed) formats are frequently used for storing genetic variation data. In this vignette we provide a quick and robust solution for how to transform these two formats into a general genotype matrix (i.e. where homozygous genotypes are coded as 0 or 2, and heterozygotes as 1) that can be used with the smartsnp package.
The general strategy is to use the plink2 software for transforming VCF or PLINK/bed files into a general (transposed) genotype matrix. It is “transposed” because PLINK and VCF files typically have samples in rows, whereas the general input file for smartsnp has samples in columns.
We make heavily use of the plink2 software, which is a comprehensive update to Shaun Purcell’s PLINK original command-line program. Binary downloads and an installation guide is available here: https://www.cog-genomics.org/plink2
In the plink2 manual, the file format that we transform our data into is called “.traw (variant-major additive component file)”. See here for more information: https://www.cog-genomics.org/plink/1.9/formats#traw
Note that the .traw format can be directly used with the lastest development version of smartsnp, no further data transformation is necessary.
The R package sim1000G contains a small VCF, an unfiltered region from the 1000 genomes Phase III sequencing data VCF, chromosome 4, CEU samples. We will first load the package and then use this file as an example dataset.
library(sim1000G)
# First set the current working directory (cwd) to where you want to download the data to (note that the *Downloads* folder might not exist on your computer, e.g. if you have a Windows system):
oldwd <- getwd()
setwd("~/Downloads/")
examples_dir <- system.file("examples", package = "sim1000G")
vcf_file <- file.path(examples_dir, "region.vcf.gz")
file.copy(from = vcf_file, to = "./") # Copy the file to the cwd
## [1] FALSE
As a first step, we show how to transform a VCF file into a PLINK/bed format. Note that the VCF is gzipped, but plink2 can directly use gzipped files.
We will use the system function for calling plink2. This is effectively the same as running the quoted command on the command line.
system("plink --vcf region.vcf.gz --make-bed --out region")
The –out parameter defines the name of the output file (without any suffix), you can set it to any arbitrary string. After running this command, you will see three files that make up the PLINK/bed format (region.bim, region.bed, region.fam). See the definition of the PLINK/bed (binary biallelic genotype table) file format for more information: https://www.cog-genomics.org/plink/1.9/formats#bed
The plink2 software offers a wide range of options for filtering and transforming the data that could be useful for your analysis. See the manual: https://www.cog-genomics.org/plink/1.9/
If you don’t want to make use of any further plink2 functionality, then you can also directly transform the VCF file into the .traw format. See section “Directly transforming VCF to raw genotype (.traw)” below.
Now we will use the plink2 software to transform the .bed file into raw genotypes. Again, note that we will need a “transposed” version since smartsnp assumes that samples are in columns, not rows.
system("plink --bfile region --recode A-transpose --out region_genotypeMatrix")
Again, the –out parameter defines the name of the output file, without the suffix. After running this command, you will see a “region_genotypeMatrix.traw” file. This file can be directly used with smartsnp.
We could have skipped the intermediate step of transforming the VCF into a PLINK format. The plink2 software allows to directly transform the VCF into the .traw format.
system("plink --vcf region.vcf.gz --recode A-transpose --out region_genotypeMatrix")
The VCF file just contained data from a single group (CEU). However, just to demonstrate that this file can be used with smartsnp we’ll run a simple pca analysis. Importantly, you will have to set the missing_value parameter to “NA”.
# To use .traw files, we will need to load the latest development version of smartsnp.
install.packages("devtools")
devtools::install_github("ChristianHuber/smartsnp")
# Load the PLINK (.fam) file to get the number of samples
numSamples = nrow(read.table("region.fam"))
# There is just a single group in this data
group_id <- rep(c("CEU"), length.out = numSamples)
# Running smart_pca
sm.pca <- smart_pca(snp_data = "region_genotype.traw",
sample_group = group_id,
missing_value = NA)
# Here is a plot of the first two components:
plot(sm.pca$pca.sample_coordinates[, c(3,4)])
Voila! Now to go back to the old working directory:
setwd(oldwd)


Next: acons, Previous: member, Up: Conses Dictionary
mapc
function &rest lists^+ ⇒ list-1
mapcar
function &rest lists^+ ⇒ result-list
mapcan
function &rest lists^+ ⇒ concatenated-results
mapl
function &rest lists^+ ⇒ list-1
maplist
function &rest lists^+ ⇒ result-list
mapcon
function &rest lists^+ ⇒ concatenated-results
function—a designator for a function that must take as many arguments as there are lists.
list—a proper list.
list-1—the first list (which must be a proper list).
result-list—a list.
concatenated-results—a list.
The mapping operation involves applying function to successive sets of arguments in which one argument is obtained from each sequence. Except for mapc and mapl, the result contains the results returned by function. In the cases of mapc and mapl, the resulting sequence is list.
function is called first on all the elements with index 0, then on all those with index 1, and so on. result-type specifies the type of the resulting sequence.
If function is a symbol, it is coerced to a function as if by symbol-function.
mapcar operates on successive elements of the lists. function is applied to the first element of each list, then to the second element of each list, and so on. The iteration terminates when the shortest list runs out, and excess elements in other lists are ignored. The value returned by mapcar is a list of the results of successive calls to function.
mapc is like mapcar except that the results of applying function are not accumulated. The list argument is returned.
maplist is like mapcar except that function is applied to successive sublists of the lists. function is first applied to the lists themselves, and then to the cdr of each list, and then to the cdr of the cdr of each list, and so on.
mapl is like maplist except that the results of applying function are not accumulated; list-1 is returned.
mapcan and mapcon are like mapcar and maplist respectively, except that the results of applying function are combined into a list by the use of nconc rather than list. That is,
(mapcon f x1 ... xn) ≡ (apply #'nconc (maplist f x1 ... xn))
and similarly for the relationship between mapcan and mapcar.
(mapcar #'car '((1 a) (2 b) (3 c))) ⇒ (1 2 3) (mapcar #'abs '(3 -4 2 -5 -6)) ⇒ (3 4 2 5 6) (mapcar #'cons '(a b c) '(1 2 3)) ⇒ ((A . 1) (B . 2) (C . 3)) (maplist #'append '(1 2 3 4) '(1 2) '(1 2 3)) ⇒ ((1 2 3 4 1 2 1 2 3) (2 3 4 2 2 3)) (maplist #'(lambda (x) (cons 'foo x)) '(a b c d)) ⇒ ((FOO A B C D) (FOO B C D) (FOO C D) (FOO D)) (maplist #'(lambda (x) (if (member (car x) (cdr x)) 0 1)) '(a b a c d b c)) ⇒ (0 0 1 0 1 1 1) ;An entry is 1 if the corresponding element of the input ; list was the last instance of that element in the input list. (setq dummy nil) ⇒ NIL (mapc #'(lambda (&rest x) (setq dummy (append dummy x))) '(1 2 3 4) '(a b c d e) '(x y z)) ⇒ (1 2 3 4) dummy ⇒ (1 A X 2 B Y 3 C Z) (setq dummy nil) ⇒ NIL (mapl #'(lambda (x) (push x dummy)) '(1 2 3 4)) ⇒ (1 2 3 4) dummy ⇒ ((4) (3 4) (2 3 4) (1 2 3 4)) (mapcan #'(lambda (x y) (if (null x) nil (list x y))) '(nil nil nil d e) '(1 2 3 4 5 6)) ⇒ (D 4 E 5) (mapcan #'(lambda (x) (and (numberp x) (list x))) '(a 1 b c 3 4 d 5)) ⇒ (1 3 4 5)
In this case the function serves as a filter; this is a standard Lisp idiom using mapcan.
(mapcon #'list '(1 2 3 4)) ⇒ ((1 2 3 4) (2 3 4) (3 4) (4))
Should be prepared to signal an error of type type-error if any list is not a proper list.
Traversal Rules and Side Effects
Next: acons, Previous: member, Up: Conses Dictionary


Take part in our Christmas survey 25 Nov 2019, 15:52 by Nelson Naturinda survey Take part in our Christmas survey https://www.surveymonkey.com/r/87RW5FF Related Articles


mlens.ensemble.base module¶
ML-ENSEMBLE
| author: | Sebastian Flennerhag |
|---|---|
| copyright: | 2017 |
| licence: | MIT |
Base classes for ensemble layer management.
-
class
mlens.ensemble.base.
BaseEnsemble
(shuffle=False, random_state=None, scorer=None, verbose=False, layers=None, array_check=2, model_selection=False, sample_size=20, **kwargs)[source]¶ Bases:
mlens.externals.sklearn.base.BaseEstimator
BaseEnsemble class.
Core ensemble class methods used to add ensemble layers and manipulate parameters.
Parameters: - model_selection (bool (default=False)) – Whether to use the ensemble in model selection mode. If
True
, this will alter thetransform
method. When callingtransform
on new data, the ensemble will callpredict
, while callingtransform
with the training data reproduces predictions from thefit
call. Hence the ensemble can be used as a pure transformer in a preprocessing pipeline passed to theEvaluator
, as training folds are faithfully reproduced as during afit``call and test folds are transformed with the ``predict
method. - samples_size (int (default=20)) – size of training set sample
(
[min(sample_size, X.size[0]), min(X.size[1], sample_size)]
- shuffle (bool (default=False)) – whether to shuffle input data during fit calls
- random_state (bool (default=False)) – random seed.
- scorer (obj, optional) – scorer function
- verbose (bool, optional) – verbosity
- array_check (int (default=2)) – severity of array checks.
2
mimicks Scikit-learn,1
warns,0
disables. - samples_size – size of training set sample
(
[min(sample_size, X.size[0]), min(X.size[1], sample_size)]
-
add
(estimators, indexer, preprocessing=None, **kwargs)[source]¶ Method for adding a layer.
Parameters: - estimators (dict of lists or list of estimators, or :class:`Layer.) –
Pre-made layer or estimators to construct layer with. If
preprocessing
isNone
orlist
,estimators
should be alist
. The list can either contain estimator instances, named tuples of estimator instances, or a combination of both.option_1 = [estimator_1, estimator_2] option_2 = [("est-1", estimator_1), ("est-2", estimator_2)] option_3 = [estimator_1, ("est-2", estimator_2)]
If different preprocessing pipelines are desired, a dictionary that maps estimators to preprocessing pipelines must be passed. The names of the estimator dictionary must correspond to the names of the estimator dictionary.
preprocessing_cases = {"case-1": [trans_1, trans_2]. "case-2": [alt_trans_1, alt_trans_2]} estimators = {"case-1": [est_a, est_b]. "case-2": [est_c, est_d]}
The lists for each dictionary entry can be any of
option_1
,option_2
andoption_3
. - indexer (instance or None (default = None)) – Indexer instance to use. Defaults to the layer class
indexer with default settings. See
mlens.base
for details. - preprocessing (dict of lists or list, optional (default = None)) –
preprocessing pipelines for given layer. If the same preprocessing applies to all estimators,
preprocessing
should be a list of transformer instances. The list can contain the instances directly, named tuples of transformers, or a combination of both.option_1 = [transformer_1, transformer_2] option_2 = [("trans-1", transformer_1), ("trans-2", transformer_2)] option_3 = [transformer_1, ("trans-2", transformer_2)]
If different preprocessing pipelines are desired, a dictionary that maps preprocessing pipelines must be passed. The names of the preprocessing dictionary must correspond to the names of the estimator dictionary.
preprocessing_cases = {"case-1": [trans_1, trans_2]. "case-2": [alt_trans_1, alt_trans_2]} estimators = {"case-1": [est_a, est_b]. "case-2": [est_c, est_d]}
The lists for each dictionary entry can be any of
option_1
,option_2
andoption_3
. - **kwargs (optional) – keyword arguments to be passed onto the layer at instantiation.
Returns: self – Modified instance.
Return type: instance
- estimators (dict of lists or list of estimators, or :class:`Layer.) –
-
data
¶ Fit data
-
fit
(X, y=None, **kwargs)[source]¶ Fit ensemble.
Parameters: - X (array-like of shape = [n_samples, n_features]) – input matrix to be used for prediction.
- y (array-like of shape = [n_samples, ] or None (default = None)) – output vector to trained estimators on.
Returns: self – class instance with fitted estimators.
Return type: instance
-
fit_transform
(X, y, **kwargs)[source]¶ Fit ensemble and return cross-validated predictions.
Equivalent to
ensemble.fit(X, y).transform(X)
, but more efficient.Parameters: - X (array-like of shape = [n_samples, n_features]) – input matrix to be used for fitting and predicting.
- y (array-like of shape = [n_samples, ]) – training labels.
- **kwargs (optional) – optional arguments to processor
Returns: pred – predictions for provided input array. If in model selection mode, return a tuple
(X_trans, y_trans)
wherey_trans
is eithery
, or a trunctated version to match the samples inX_trans
.Return type: array-like or tuple, shape=[n_samples, n_features]
-
model_selection
¶ Turn model selection mode
-
predict
(X, **kwargs)[source]¶ Predict with fitted ensemble.
Parameters: X (array-like, shape=[n_samples, n_features]) – input matrix to be used for prediction. Returns: pred – predictions for provided input array. Return type: array-like or tuple, shape=[n_samples, n_features]
-
predict_proba
(X, **kwargs)[source]¶ Predict class probabilities with fitted ensemble.
Compatibility method for Scikit-learn. This method checks that the final layer has
proba=True
, then calls the regularpredict
method.Parameters: X (array-like, shape=[n_samples, n_features]) – input matrix to be used for prediction. Returns: pred – predictions for provided input array. Return type: array-like or tuple, shape=[n_samples, n_features]
-
remove
(idx)[source]¶ Remove a layer from stack
Remove a layer at a given position from stack.
Parameters: idx (int) – Position in stack. Indexing is 0-based. Returns: self – Modified instance Return type: instance
-
replace
(idx, estimators, indexer, preprocessing=None, **kwargs)[source]¶ Replace a layer.
Replace a layer in the stack with a new layer. See
add()
for full parameter documentation.Parameters: - idx (int) – Position in stack of layer to replace. Indexing is 0-based.
- estimators (dict of lists or list of estimators, or :class:`Layer.) – Pre-made layer or estimators to construct layer with.
- indexer (instance or None (default = None)) – Indexer instance to use. Defaults to the layer class
indexer with default settings. See
mlens.base
for details. - preprocessing (dict of lists or list, optional (default = None)) – preprocessing pipelines for given layer.
- **kwargs (optional) – keyword arguments to be passed onto the layer at instantiation.
Returns: self – Modified instance
Return type: instance
-
transform
(X, y=None, **kwargs)[source]¶ Transform with fitted ensemble.
Replicates cross-validated prediction process from training.
Parameters: - X (array-like, shape=[n_samples, n_features]) – input matrix to be used for prediction.
- y (array-like, shape[n_samples, ]) – targets. Needs to be passed as input in model selection mode as some indexers will reduce the size of the input array (X) and y must be adjusted accordingly.
Returns: pred – predictions for provided input array. If in model selection mode, return a tuple
(X_trans, y_trans)
wherey_trans
is eithery
, or a trunctated version to match the samples inX_trans
.Return type: array-like or tuple, shape=[n_samples, n_features]
- model_selection (bool (default=False)) – Whether to use the ensemble in model selection mode. If
-
class
mlens.ensemble.base.
Sequential
(name=None, verbose=False, stack=None, **kwargs)[source]¶ Bases:
mlens.parallel.base.BaseStacker
Container class for a stack of sequentially processed estimators.
The Sequential class stories all layers as an ordered dictionary and modifies possesses a
get_params
method to appear as an estimator in the Scikit-learn API. This allows correct cloning and parameter updating.Parameters: - stack (list, optional (default = None)) – list of estimators (i.e. layers) to build instance with.
- n_jobs (int (default = -1)) – Degree of concurrency. Set
n_jobs = -1
for maximal parallelism andn_jobs=1
for sequential processing. - backend (str, (default="threading")) – the joblib backend to use (i.e. “multiprocessing” or “threading”).
- raise_on_exception (bool (default = False)) – raise error on soft exceptions. Otherwise issue warning.
- verbose (int or bool (default = False)) –
level of verbosity.
verbose = 0
silent (same asverbose = False
)verbose = 1
messages at start and finish (same asverbose = True
)verbose = 2
messages for each layer- etc
If
verbose >= 10
prints tosys.stderr
, elsesys.stdout
.
-
data
¶ Ensemble data
-
fit
(X, y=None, **kwargs)[source]¶ Fit instance.
Iterative fits each layer in the stack on the output of the subsequent layer. First layer is fitted on input data.
Parameters: - X (array-like of shape = [n_samples, n_features]) – input matrix to be used for fitting and predicting.
- y (array-like of shape = [n_samples, ]) – training labels.
- **kwargs (optional) – optional arguments to processor
-
fit_transform
(X, y=None, **kwargs)[source]¶ Fit instance and return cross-validated predictions.
Equivalent to
Sequential().fit(X, y, return_preds=True)
Parameters: - X (array-like of shape = [n_samples, n_features]) – input matrix to be used for fitting and predicting.
- y (array-like of shape = [n_samples, ]) – training labels.
- **kwargs (optional) – optional arguments to processor
-
predict
(X, **kwargs)[source]¶ Predict.
Parameters: - X (array-like of shape = [n_samples, n_features]) – input matrix to be used for prediction.
- **kwargs (optional) – optional keyword arguments.
Returns: X_pred – predictions from final layer.
Return type: array-like of shape = [n_samples, n_fitted_estimators]
-
transform
(X, **kwargs)[source]¶ Predict using sub-learners as is done during the
fit
call.Parameters: - X (array-like of shape = [n_samples, n_features]) – input matrix to be used for prediction.
- *args (optional) – optional arguments.
- **kwargs (optional) – optional keyword arguments.
Returns: X_pred – predictions from
fit
call to final layer.Return type: array-like of shape = [n_test_samples, n_fitted_estimators]
-
mlens.ensemble.base.
check_kwargs
(kwargs, forbidden)[source]¶ Pop unwanted arguments and issue warning
-
mlens.ensemble.base.
print_job
(lc, start_message)[source]¶ Print job details.
Parameters: - lc (
Sequential
) – The LayerContainer instance running the job. - start_message (str) – Initial message.
- lc (


Deployer Example App
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@import org.incal.play.controllers.WebContext @import org.incal.play.controllers.WebContext._ @import views.html.layout.main @import views.html.pdchallenge.clusteringSideBar @()(implicit context: WebContext) @main( title = "PD Digital Biomarker DREAM Challenge: Feature Clustering", sideBar = Some(clusteringSideBar()), showMessageBox = false ) {
This site acts as a supplementary material for PD Digital Biomarker DREAM Challenge concluded in October 2017.
Here, you can freely freely explore the results of clustering analysis for the features from all the subchallenges visualized as interactive charts. Clustering was performed by two standard methods: k-means and bisecting k-means. To map an input feature space to two dimensions we employed two manifold projection techniques: MDS and t-SNE, whose outcomes were fed as an input to clustering.
Please use the menu on the left to navigate through the subchallenges.


Program uses method of polynomial of variable degrees to interpolate gridded data preserving monotonicity and/or convexity or none. Method is implemented for univariate and bivariate cases. If values of derivatives are provided, spline will fix them,if not program will estimate them numerically. Package written purely in R.
| Version: | 0.1 |
| Depends: | plot3D, R (≥ 2.10.0) |
| Published: | 2015-08-19 |
| Author: | Szymon Sacher & Andrew Clausen, The University of Edinburgh. Excerpts adapted from Fortran code Copyright (C) Paolo Costantini |
| Maintainer: | Szymon Sacher <s1340144 at sms.ed.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| CRAN checks: | spsi results |
| Reference manual: | spsi.pdf |
| Package source: | spsi_0.1.tar.gz |
| Windows binaries: | r-devel: spsi_0.1.zip, r-release: spsi_0.1.zip, r-oldrel: spsi_0.1.zip |
| OS X binaries: | r-release: spsi_0.1.tgz, r-oldrel: spsi_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=spsi to link to this page.


---
layout: default
---
Services
- Architecture
- Programming
- Feasibility Studies
- Master Planning
- Interior Design
- Test Fits
- Construction Documentation Prep & Administration
- LEED
- Facility & Space Planning
Specialties
- Office Buildings
- Furniture Coordination
- Historic Rehabilitation/ Adaptive Re-Use
- Corporation Tenant Improvement
- Higher Education Facilities
- Retail
- Custom Furniture Design
- Hospitality


Industries: eCommerce, B2C
A local eCommerce company had a team of visual designers who produced elegant pixel-perfect mockups, but had very little data to back up their design decisions. As a result, the team frequently had to do rework and had no idea if their designs were effective or usable for their customers.
I started working with the client through one workshop, “Usability Testing at Any Budget and Any Size". The goal was to get the designers and business to realize they did not need a large budget or a lot of experience to make data-informed decisions. After a successful workshop, I engaged with the team on a part-time several month basis. I taught them how and what to track in Google Analytics, as well as helped them to come up with a usability testing strategy.
The team was able to successfully implement a usability testing strategy, pulling from their own customer base and like-minded consumers. They started doing “ride alongs” when the marketing team did field research, so they could gain more direct customer interactions and experience with testing. When designs are produced, events in Google Analytics are created to measure workflows and adoption rates.


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Before Change
core.initial_state(batch_size, trainable=trainable,
trainable_initializers=expected_initializer))
with self.test_session() as sess:
sess.run(tf.global_variables_initializer())
initial_state_value = sess.run(initial_state)
expected_initial_state_value = sess.run(expected_initial_state)
for expected_value, actual_value in zip(expected_initial_state_value,
initial_state_value):
self.assertAllEqual(actual_value, expected_value)
After Change
@parameterized.parameters((False, False), (False, True), (True, False),
(True, True))
def testInitialState(self, trainable, use_custom_initial_value):
batch_size = 3
hidden1_size = 4
hidden2_size = 5
output1_size = 6
output2_size = 7
initializer = None
if use_custom_initial_value:
initializer = [tf.constant_initializer(8),
tf.constant_initializer(9)]
// Test that the initial state of a non-recurrent DeepRNN is an empty list.
non_recurrent_cores = [snt.Linear(output_size=output1_size),
snt.Linear(output_size=output2_size)]
dummy_deep_rnn = snt.DeepRNN(non_recurrent_cores, skip_connections=False)
dummy_initial_state = dummy_deep_rnn.initial_state(
batch_size, trainable=trainable)
self.assertFalse(dummy_initial_state)
// Test that the initial state of a recurrent DeepRNN is the same as calling
// all cores" initial_state method.
cores = [snt.VanillaRNN(hidden_size=hidden1_size),
snt.VanillaRNN(hidden_size=hidden2_size)]
deep_rnn = snt.DeepRNN(cores)
initial_state = deep_rnn.initial_state(batch_size, trainable=trainable,
trainable_initializers=initializer)
expected_initial_state = []
for i, core in enumerate(cores):
with tf.variable_scope("core-%d" % i):
expected_initializer = None
if initializer:
expected_initializer = initializer[i]
expected_initial_state.append(
core.initial_state(batch_size, trainable=trainable,
trainable_initializers=expected_initializer))
self.evaluate(tf.global_variables_initializer())
initial_state_value = self.evaluate(initial_state)
expected_initial_state_value = self.evaluate(expected_initial_state)
for expected_value, actual_value in zip(expected_initial_state_value,
initial_state_value):
self.assertAllEqual(actual_value, expected_value)


You can import squadron data from X-Wing Tabled urls, Official X-Wing Squad Builder urls, YASB 2.0 urls, XWS format data, and Launch Bay Next QR Code data.


To insert a bitmap into the current picture
- In the toolbox, click and then drag the pointer to define an area to put the bitmap in.
- On the Edit menu, click Paste From.
- Locate and double-click the bitmap file you want to insert.
- Drag the bitmap where you want it, and then click outside the selection.


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Contact: Bruce Wyman Reviewers: Change history: WebCVS Log for bgrid_change_grid.f90
Provides interfaces to interpolate between the B-grid mass and velocity grids.
The interpolation to a grid box is performed using the (four) grid boxes centered at it's corners. The interfaces have been overloaded for area-weighted interpolation and simple equal-weighted (4-point) interpolation.
bgrid_horiz_mod
use bgrid_change_grid_mod [,only: mass_to_vel, vel_to_mass ] mass_to_vel Interpolates one field from the mass grid to the velocity grid. vel_to_mass Interpolates the velocity components from the velocity grid to the mass grid.
call mass_to_vel (Hgrid, fm, fv) OR call mass_to_vel (fm, fv) INPUT Hgrid horiz_grid_type (see horiz_grid_mod) When this variable is present, area weighted averaging is performed. When this variable is not present, simple four-point averaging is performed. fm 2-d or 3-d real array located at mass points OUTPUT fv 2-d or 3-d real array located at velocity points NOTES 1) No output value is calculated in the east-most and north-most rows. 2) If the Hgrid interface is used, then the horizontal dimensions of the input/output arrays must be consistent with the size of the local data domain. 3) The input and output arrays can be the same since a temporary array is used for the result. -------------------------------------------------------------------- call vel_to_mass (Hgrid, u, v, um, vm, mask) OR call vel_to_mass (u, v, um, vm, mask) INPUT Hgrid horiz_grid_type (see horiz_grid_mod) When this variable is present, area weighted averaging is performed. When this variable is not present, simple four-point averaging is performed. u, v 2-d or 3-d real arrays of velocity components array OUTPUT um, vm 2-d or 3-d real arrays averaged to mass points INPUT mask 2-d or 3-d topography mask array (real, 0. or 1.) located at velocity points for the eta/step-mountain coordinate NOTES 1) No output value is calculated in the west-most and south-most rows. 2) If the Hgrid interface is used, then the horizontal dimensions of the input/output arrays must be consistent with the size of the local data domain. 3) The input and output arrays can be the same since a temporary array is used for the result.
None.
None.
The 2-d versions call the 3-d versions.
None.


The Ballad Of Product Manager #1
The Ballad Of Product Manager #1
If I’ve learned anything in my career thus far, it’s that there is no worse feeling than feeling less valuable as time goes on.
Yet, that is the ballad oft sung by many early stage employees and one sung, in my experience, most painfully by Product Manager #1.
(And yes, I fully appreciate the irony given my past proclamations.)
The Story So Far
I have been fortunate to spend the better part of my career in the fine art known as product management.
Even from before I knew the role by name, I worked as a creative designer getting customer feedback to improve the product at a game company; as a business analyst gathering requirements at a gambling company; and as a technical writer communicating and marketing releases at a few different enterprise software companies.
I was also fortunate enough to spend a great deal of time in different start-ups, all of which I’ve watched grow and a select few of I’ve watched become very successful.
That said, after 10 years, no experience has been more personally painful than my experience I’ve had at my current company.
Touch And Go
Names unnamed, my current company has already proven to be successful and will continue to be so thanks to the hard work of the team I work with.
Sadly, that team is the team that was brought in to replace me.
I joined as the organization’s first product marketer. After spending years working as a product manager and technical writer prior, I wanted to expand my skill set and my penchant-meets-passion for communication to help the company better educate its sales force and attract prospects with accurate, timely, and compelling product story-telling.
Alas, it wasn’t long after arriving that I found there wasn’t yet a product team to work with and shortly thereafter that I found myself as Product Manager #1.
What followed was months of learning the customer with our intrepid Customer Success and Support teams, defining and refining the development process with our eager Engineering team, understanding the prospect with our restaurant-savvy Sales team, and internalizing the market with our creative Marketing team.
After months of hard work and 22 hour days, I had helped to build a foundation for the company’s future product development. We had a roadmap. We had a schedule. We had training and enablement and foresight and strategy. We had data. We had way more than we used to.
But we still only had me. I was stretched thin to the brink of snapping, constantly wearing beaded sweat on brow with clumsy short-term roadmap in one hand and in the other clumsier-still designs—the kind that the CEO could only help but pin on his fridge like they were the “nice try, Junior” crayon drawings of his infant child.
Thankfully, he had mercy on me. He found a VP of Product who had done it many times before, and she came to my aid with her ample experience and her vast network.
BOGO-FOMO
Her first order of business was to replace me.
Slowly, my one role became two. Then four. Then seven. A dedicated UX team. A dedicated associate product manager with direct experience as a past customer. A dedicated technical product manager. A dedicated QA manager.
Suddenly, I was no longer the hero. Suddenly, I was no longer the center of the world. Suddenly, I was no longer who people came to for answers; I was no longer smarter, better, more informed; I was no longer the visionary, the savant, the savior.
I was becoming what I feared being most: I was becoming useless, and the pain therein was unbearable.
I became defensive.
You guys don’t have context! You’re going to fall into this trap!
I became closed-minded.
I don’t think that’s going to work. I failed at pulling that off before.
I became detached.
All I can offer is my opinion. Take it for what it’s worth.
The world had evolved beyond me, and in my desperate need to feel useful, I couldn’t see that I was in fact hurting the team.
I turned in on myself and was hurt by any success of my teammates. I drew out of team conversations. I willfully ignored social invitations. I turned up my nose at new perspectives and scoffed at new recommendations. I went around my team to push my own agendas with my own ideas.
They couldn’t understand the context already! I’ve been doing this for more than a year! They don’t even know anything yet! They just got here!
And after days of what felt like depression, after weeks of longing to add value and flailing around in pursuit of being useful, I realized the truth.
I was slowing the team down.
The Multiplier Effect
It was only when I hit this rock bottom of sorts that things changed.
When I realized that I could offer pointed, well-informed insights into managing the process and understanding the customer, I realized I had more value to offer than ever.
I totally changed my focus and I was renewed. I began to listen and observe and when prompted began providing business insights, specific customer use cases, and context to the team at large based on my experience.
I gave specific examples where I could, and I introduced contacts and customers that could do that for me where I couldn’t. I resisted the urge to dictate and instead directed. I helped the team to discover rather than to be discouraged.
My irrational fear of ceding control began to subside, and I was free to focus on bigger strategic initiatives that only I could contribute to.
It all seems so clear now, in retrospect.
A team of one cannot scale a business, and Product Manager #1 is just that: the first player in a much bigger team.
Being close-fisted with the vision and being unwilling to help distill knowledge and accelerate the learning of the new hires was not helping the company.
As my behaviour shifted, so too did the results. I wasn’t slowing down my team or the process at all: I was in fact speeding it up. In less time, the team was able to poll customers, test designs, build features, and deliver reliable product.
I’d became a multiplier for the team — I became more useful, not less. I no longer needed to be Product Manager #1, because I was a player on a team that was capable of far more than I was alone.
Happily Ever After
Perhaps these lessons are unique to me—and perhaps not. In either case, I took away the following for my future adventures:
- Product Manager #1 is just that: the first PM on an eventual team, so act like it and plan for it. Understanding that from day one will accelerate your ability to build better products faster.
- Use your head-start to gather and document both customer-based evidence and specific use cases. Your eventual team will eventually thank you if you can provide documentation in the form of customer feedback, recorded interviews, or organized feature requests that support your opinions and experience.
- Remember that your larger goal as the team scales is to accelerate the learning of your team. Making their decisions, and doing their research, for them will not allow them to internalize the customer needs any faster nor help them to learn for themselves in the future.
Now, about that whole product marketing transition thing…


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===== Passive fingerprinting =====
* Search forums and publicly accessible information where technicians of the target organisation may be discussing issues or asking for assistance on the technology in use
* Search marketing information for the target organisation as well as popular technology vendors
* Using Tin-eye (or another image matching tool) search for the target organisations logo to see if it is listed on vendor reference pages or marketing material


Optimized for AWS Connection
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TIY Final Project - July 2015: Orlando City Run is a resource for runners highlighting running routes and running events in downtown Orlando. Project tech stack includes AngularJS, Bootstrap, CSS, Firebase, Gulp, HTML5, and Sass.
TIY Weekend Project - June 2015: This web application combines APIs from Flickr, The New York Times and OpenWeatherMap. Project tech stack includes CSS, HTML5, JQuery, JSON and Sass
I am a Junior Web Developer with 10 years of political and legislative advocacy experience. I am seeking a position in a team environment that offers the opportunity to contribute to the development of dynamic web applications.


Upside-down Christmas trees already being showed off online
by Michael HollanHow do you put presents underneath an upside-down Christmas tree?
While Christmas trees are an iconic part of the holiday, that doesn’t mean that they all have to look the same. More and more people are adopting an upside-down approach to their decorations.
It isn’t even Thanksgiving yet, but people are already getting into the Christmas spirit. On Instagram, users are starting to upload images of their decorations and it seems like upside-down Christmas trees are growing in popularity.
 The only way I found we can truly enjoy the Christmas season, is to get all of the decorating done before Thanksgiving. We do some major decorating in our house!”
As the trend has become more popular, more stores have been starting to sell upside-down trees, The Sun reported. Prices have varied from around $25 to hundreds of dollars.
CLICK HERE TO SIGN UP FOR OUR LIFESTYLE NEWSLETTER
Upside-down Christmas trees have been popping up for several years now and they’re popular for more than just aesthetic reasons.
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One photo of an upside-down tree on Instagram boasted how “pet-friendly” the setup could be.
These top-heavy trees also could be useful for people living in small apartments or other tight living situations.


I am a graduate student in Computer Science at SF State University. I completed my BSc. in Computer Science and Engineering from Shahjalal University of Science and Technology, Sylhet, Bangladesh. I worked as a Software Development Intern at Backpack Technologies Inc. for six months. I have experinece in working with C, Java, JavaScript, Python, React, NodeJS, Laravel, Bootstrap, MySQL, PHP, HTML, CSS etc.
Contact me at<EMAIL_ADDRESS>Visit my portfolio here.


The code reported in Figure 2 shows how to set and apply the default
multilevel preconditioner available in the real double precision version
of MLD2P4 (see Table 1). This preconditioner is chosen
by simply specifying 'ML'
as the second argument of P%init
(a call to P%set
is not needed) and is applied with the CG
solver provided by PSBLAS (the matrix of the system to be solved is
assumed to be positive definite). As previously observed, the modules
psb_base_mod
, mld_prec_mod
and psb_krylov_mod
must be used by the example program.
The part of the code concerning the
reading and assembling of the sparse matrix and the right-hand side vector, performed
through the PSBLAS routines for sparse matrix and vector management, is not reported
here for brevity; the statements concerning the deallocation of the PSBLAS
data structure are neglected too.
The complete code can be found in the example program file mld_dexample_ml.f90
,
in the directory examples/fileread
of the MLD2P4 implementation (see
Section 3.5). A sample test problem along with the relevant
input data is available in examples/fileread/runs
.
For details on the use of the PSBLAS routines, see the PSBLAS User's
Guide [13].
The setup and application of the default multilevel preconditioner
for the real single precision and the complex, single and double
precision, versions are obtained with straightforward modifications of the previous
example (see Section 6 for details). If these versions are installed,
the corresponding codes are available in examples/fileread/
.
|
Different versions of the multilevel preconditioner can be obtained by changing
the default values of the preconditioner parameters. The code reported in
Figure 3 shows how to set a V-cycle preconditioner
which applies 1 block-Jacobi sweep as pre- and post-smoother,
and solves the coarsest-level system with 8 block-Jacobi sweeps.
Note that the ILU(0) factorization (plus triangular solve) is used as
local solver for the block-Jacobi sweeps, since this is the default associated
with block-Jacobi and set by P%init
.
Furthermore, specifying block-Jacobi as coarsest-level
solver implies that the coarsest-level matrix is distributed
among the processes.
Figure 4 shows how to set a W-cycle preconditioner which
applies 2 hybrid Gauss-Seidel sweeps as pre- and post-smoother,
and solves the coarsest-level system with the multifrontal LU factorization
implemented in MUMPS. It is specified that the coarsest-level
matrix is distributed, since MUMPS can be used on both
replicated and distributed matrices, and by default
it is used on replicated ones.
The code fragments shown in Figures 3 and 4 are
included in the example program file mld_dexample_ml.f90
too.
Finally, Figure 5 shows the setup of a one-level
additive Schwarz preconditioner, i.e., RAS with overlap 2.
Note also that a Krylov method different from CG must be used to solve
the preconditioned system, since the preconditione in nonsymmetric.
The corresponding example program is available in the file
mld_dexample_1lev.f90
.
For all the previous preconditioners, example programs where the sparse matrix and
the right-hand side are generated by discretizing a PDE with Dirichlet
boundary conditions are also available in the directory examples/pdegen
.
|
|
|


"We shouldn't be playing on pitches like this at this level"
by BeSoccerPizzi Fernandes, the Benfica and Portugal player, criticised the pitch after the game Portugal played on it versus Luxembourg.
Portugal beat Luxembourg 0-2 thanks to goals from Bruno Fernandes and Cristiano Ronaldo. And they did so on a rather poor pitch.
One side of the pitch was very badly affected. There were notable divots and the surface was very uneven which put the players' safety at risk. Obviously it was not easy to play football on it.
Therefore, Pizzi did not hesistate in criticising the playing surface after the encounter: "We shouldn't be playing on pitches like that at this level, but that was how it was. We had quite a positive mentality, we knew it would be a difficult game, we have qualified and now it is time to wait and see what comes."
Featured links


Me and a friend were outside catching up over winter break and we packed up a bowl between us. After about 10 minutes and only about 3 hits of the 'Smiley Dog' herbal incense we are so high we cannot stand or walk. The idea of returning to the house and watching a movie is laughable in our state after about 15 minutes. I lose motor control and can no longer stand after 20 minutes. MY heart feels as if it is going to explode, I become convinced I could die at any moment. A tingling feeling starts at the tips of my fingers and slowly works its way up to my hands, then up my arm. It feels as if my bod is dyeing piece by piece before me.
At this point I lose it, and have my friend call an ambulance. Sounds like over reaching, but my body will not obey my commands, I'm vomiting and the tingling feeling has moved terrifyingly close to my heart. When the ambulance arrives they cannot bring me under control and i cannot stop my body from convulsing, shaking, and screaming like the demon infested girl from 'The Exorcist'. They had to strap me to a gurney and put me in an ambulance. It took six people to hold me down so they could put the straps on and get an IV in me. They administered 10 milligrams of Ativan to try to calm me down but nothing really works until I'm at the emergency room and they put me down with Geodon. I'm convinced JWH-018 triggered a full psychotic break in me.  STICK WITH REAL WEED!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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 Dyin' ain't much of a livin', boy. You see, in this world there's two kinds of people, my friend: Those with loaded guns and those who dig. You dig. Are you feeling lucky punk This is my gun, Clyde! What you have to ask yourself is, do I feel lucky. Well do ya' punk? Are you feeling lucky punk.
When a naked man's chasing a woman through an alley with a butcher knife and a hard-on, I figure he's not out collecting for the Red Cross. Well, do you have anything to say for yourself? Dyin' ain't much of a livin', boy. Are you feeling lucky punk
I don't do drugs. I am drugs.
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Curabitur turpis orci, gravida non ornare id, venenatis nec enim. Praesent posuere condimentum leo eget volutpat. .


First, you'll need to get a GitHub Client ID. Follow these steps:
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Visit your enterprise GitHub site and go to
Settings -> Developer settings -> OAuth Apps -> New OAuth App
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Set Homepage URL to: {{siteUrl}}
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Set Authorization callback URL to: {{siteUrl}}_oauth/ghe


This is the official AtomicDEX mobile beta program channel -
Android: https://play.google.com/store/apps/details?id=com.komodoplatform.atomicdex - iOS: https://testflight.apple.com/join/c2mOLEoC - Please use https://github.com/KomodoPlatform/atomicdex/issues for bug reports and feature requests. For critical security bug reports please do send us your encrypted (https://pgp.mit.edu/pks/lookup?op=get&search=0x379287998EE6CF47) report to<EMAIL_ADDRESS>and allow up to 24h for reply. For atomicDEX API (mm2) related issue reports or feature requests please do use https://github.com/KomodoPlatform/atomicDEX-API/issues
100 messages
Before 05-Dec-19 12:00 AM
kmdkrazy29-Aug-19 07:56 AM
Like etomic worked in MM1
Except use KMD
hastrup29-Aug-19 08:52 AM
@kmdkrazy that a good idea! I support this massage(edited)
@gcharang this is what I get with your link, then when I click on the first link (if the AtomicDEX application isnt installed on your device, /donwload it from Google play/)
And then I get this (element not found)
I also cannot find AtomicDEX using the search fonction on Google play
The evolution of wallets and exchanges into a single application.
You need to sign up
GuilouGuilouOTE29-Aug-19 06:26 PM
Yeah well I already signed up twice, one on the first day (with a different adress than my Google Play adress - at that time my talks with ca333 and Angelina didn't really helped) and one 3/4 weeks ago with my google play adress but this time I didn't received a confirmation email like I got the first time. I can PM you the details but if it's too much trouble I can wait, no trouble.
hastrup29-Aug-19 06:53 PM
You need to wait for the next batch to get the invite idk when that happens. But eventually you will get your invite
GuilouGuilouOTE29-Aug-19 09:42 PM
Thank you @ca333, after some troubles with the cache and datas of my play store application I finally downloaded the app and my first KMD-VRSC swap worked perfectly
Thank you all for your help :)
@hastrup@gcharang
2
2
ca33329-Aug-19 09:45 PM
You are very welcome - thanks for the feedback @GuilouGuilouOTE
saskboy29-Aug-19 10:29 PM
Settings - send feedback doesn't open. It pulses when I tap and does nothing. License agreement opens, close button at bottom is greyed out and non responsive but back arrow top left goes back to settings.
ca33329-Aug-19 10:30 PM
@saskboy 0.1.61 coming out this week and has this fixed - thanks for reporting.
jose 1730-Aug-19 04:25 AM
hello
CrisF30-Aug-19 04:59 AM
Hi @jose 17
jose 1730-Aug-19 05:01 AM
@CrisF how are you
1
CrisF30-Aug-19 05:19 AM
Fine thanks, @jose 17, how are you?
jose 1730-Aug-19 05:20 AM
@CrisF great
CrisF30-Aug-19 05:24 AM
Did you have a question about AtomicDEX, @jose 17 ?
Maybe someone here could help.
jose 1730-Aug-19 05:27 AM
@CrisF yes friend here what do I have to do to earn the coin
CrisF30-Aug-19 05:31 AM
Ahh, good question @jose 17. But this ( #talk-general ) is probably a better place to ask.
Unless you want RICK or MORTY coins.
If you want some of them please post your address. I will send you some.(edited)
jose 1730-Aug-19 05:35 AM
@CrisF Well, as you know, I don't know anything about it, I don't even know how to do it
CrisF30-Aug-19 05:40 AM
What do you want to do? @jose 17(edited)
GuilouGuilouOTE30-Aug-19 08:18 AM
Posted in the Blocknet discord a few hours ago, I dont really understand what's his problem with the "atomic". Maybe there is some documentation I Can point them to, or something more technical ?
Anyway here's the message :
What's up with nix using atomicdex? I thought nix was working with blocknet? Do they know that just because they called it "atomic"dex doesn't really necessarily mean that?
Oh maybe this particular NIX_KMD swap was not atomic because of their Ghost protocol thing ?
ca33330-Aug-19 08:32 AM
@GuilouGuilouOTEhttps://www.binance.vision/blockchain/atomic-swaps-explained - there is a sentence in this article stating that (we) jl777 did the worlds first automated cross chain atomic swap - even Binance gave us credit for the worlds first REAL DEX technology which i think says more than thousand words. Furthermore does https://komodoplatform.com/komodo-and-the-early-pioneers-of-atomic-swaps/ explain our DEX history and technology very well. However, rest assured that atomicDEX is the only 3rd generation, platform independent, cross-chain atomic swap technology.
IOS and android
version 0.1.6
Total asset display includes NOT yet CONFIRMED transactions (sometimes double quantity during a consecutive swap) this is hard to reproduce during swaps but this happens
ubhillutd03-Sep-19 10:37 AM
Hello. I just updated the atomicdex. I can't see any of my coins other than btc. I had some ltc, dgb and kmd in there. Only btc is showing up. Please advise.
TonyL03-Sep-19 11:31 AM
@ubhillutd Hello! Do you have ltc, dgb and kmd activated?
ubhillutd03-Sep-19 11:35 AM
I do. It's now showing me the kmd I had. No ltc or dgb. I haven't changed anything in the last hour.
phideas03-Sep-19 11:40 AM
Testing the new release 0.1.61. Glad to experience quick start without any lag. Yay! Feels much quicker and lighter. Good job devs!
1
1
2
gcharang03-Sep-19 11:42 AM
@ubhillutd can you search the addresses in the ltc and dgb explorers to se if the balances are intact?
I've recently added API to unstuck the funds locked by some swaps.
Please consider adding the recover/unstuck button for failed swaps.
I'm also going to add the recoverable field to swap_status to help understanding whether swap requires funds recovery or not.
...
Convenience feature allowing users to copy their swap history between different devices.
Also other use case: user has deleted swap data (app reinstall), but his funds remain stuck. We will send him swap status from seed node, user will import it and then unstuck the funds using recover_funds_of_swap.
1
phideas04-Sep-19 09:14 AM
Startup lag is back :(
ca33304-Sep-19 09:35 AM
@phideas we fixed this lag bug and are adding a disable option (to deactivate coins) - we will release 0.1.62 today!
IOS and android
version 0.1.6
Transaction display error.
Swap was successful but history displayed it as swap failed.
!2019-09-04 19 34 52
!2019-09-04 19 34 46
cyrelb04-Sep-19 03:27 PM
I am stuck when trying to build it from sources on Windows with the following error msg: error: failed to run custom build command for `common v0.1.0
V__C04-Sep-19 03:29 PM
Are cryptonote coins useable on atomicDEX? Or does this still need to be implemented @ca333
@cyrelb could you please provide full command which you execute and output in #dev-marketmaker channel?
@shak3nbak3 app will move to the open beta stage soon (at the moment it's closed beta and no more invitations providing because we'll open it very soon). Please stay tuned for updates
kaks04-Sep-19 09:27 PM
@TonyL i registered on beta when i download from play google says Error server [DF-AA-33]
@TonyL is it possible it was taken down? Not working in browser either
(Download link)
phideas05-Sep-19 08:06 AM
Testing latest 0.1.62 on Samsung S10 (exynos). First start still rough a little bit. It connects and slowly loads the assets, very sluggish and freezes. Minimizing and opening the app again helps immediately, opens up quickly and working smooth. Only cold start is problematic.
Oszy05-Sep-19 08:16 AM
so same issue as before(edited)
wl05-Sep-19 08:17 AM
When loging in it doesn't allow pasting or autofill the password....
smk762 - dracocanis ominator05-Sep-19 10:30 AM
good security
TonyL05-Sep-19 11:45 AM
@phideas we're working at the moment on this issue fix
1
@rainbro7 thats strange - are you logined in with same google account email as for which you've requested beta access?
rainbro705-Sep-19 02:04 PM
Yes :(
TonyL05-Sep-19 02:41 PM
very soon application will became public so you definetly will be able to download it
Artist05-Sep-19 05:52 PM
hi guys is atomicdex just an app or a technology
on which hyperdex is built?
TonyL05-Sep-19 05:57 PM
AtomicDEX is a GUI on top of AtomicDEX-API atomicswap protocol (also known as marketmaker2)
And hyperdex built on top of AtomicDEX-API(edited)
Artist05-Sep-19 06:16 PM
I see so hyper DeX should be called what
Like protocol, blockchain
Or standalone
TonyL05-Sep-19 06:27 PM
HyperDEX is a GUI on top of AtomicDEX-API protocol
Artist05-Sep-19 10:28 PM
Thnks
D3b006-Sep-19 06:53 AM
Is 1.7 public version?
I download it(edited)
ca33306-Sep-19 07:06 AM
Yes @D3b0 - 0.1.7 is the public beta version. We are in the process of releasing it publicly.
phideas06-Sep-19 07:28 AM
Got 0.1.7 and tested. Good news, startup lag gone for good on my Samsung S10. Everything works smoothly so far.


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Sometimes it's the smallest decisions that can change your life forever -Keri Russell
What's Life Without Options?


The @Service injection is only able to specify the type of the service to be injected. If any other type of qualification has to be done it has to be done manually but for common cases it's more convenient to use annotations to do this filtering. This package contains annotations to perform this qualification.
Example:
@Service @Tagged( "sometag" ) MyService service;
This will only inject instances of MyService that have been tagged with "sometag". If none exist an exception will occur at injection time since it is not optional.
It also works with iterables:
@Service @Tagged( "sometag" ) Iterable<MyService> services;
The qualification will be evaluated upon each call to iterator(), and since the qualifier has access to a ServiceReference, which contains the isActive() method, it can even provide some dynamicity.
@Service @Active Iterable<SomeImportedService> importedServices;
Let's say these SomeImportedService are only sometimes available. Then whenever iterator() is called the {@link org.apache.zest.api.service.qualifier.Active} tag can kick in and filter out those whose ServiceReference.isActive() returns false.
Standard ones defined in the API are:
See tests and API for more examples, and how to implement your own qualifiers.


When you see a NullPointerException what should you look for in your code?
A field that has been declared but not initialized.
- A variable that has been initialized but not declared.
- A field with the wrong type.
- A variable outside of a class definition.
There are no hints for this question


Welcome to the Senoritas of Awesomeness Team Website! (FTC Team 12526)
Hi! We're the Senoritas of Awesomeness, a second year FTC (FIRST® Tech Challenge) team from Oklahoma. Rover Ruckus has been a great season for our team so far with us getting 2nd for both the connect and motivate award at the Newcastle qualifier and winning the connect award at the Okc/Tulsa league championship qualifying us for state!
This years Newcastle qaulifier.
This season our robot and team overall have grown and is even better then before. This website is a place where you can see everything about our team such as our various robot designs, outreach, team history and even pictures of our code.
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2017-18 Relic Recovery® Season: Won the Motivate award. Advanced to state.
2018-19 Rover Ruckus® Season: Won the Connect award. Advanced to state.


Holy Grail Layout - Div Tag
Navigation Bar.
Let's try something even better by playing with flex items flexibility! What about a mobile-first 3-columns layout with full-width header and footer. And independent from source order.


The position property specifies the type of positioning method used for an element (static, relative, absolute or fixed).
The position property specifies the type of positioning method used for an element (static, relative, absolute or fixed).
The position property specifies the type of positioning method used for an element (static, relative, absolute or fixed).
The position property specifies the type of positioning method used for an element (static, relative, absolute or fixed).
The position property specifies the type of positioning method used for an element (static, relative, absolute or fixed).


#include <connection.h>
Inheritance diagram for pqxx::connection:
Public Member Functions | |
| connection () | |
| Constructor. Sets up connection without connection string. | |
| connection (const PGSTD::string &ConnInfo) | |
| Constructor. Sets up connection based on PostgreSQL connection string. | |
| connection (const char ConnInfo[]) | |
| Constructor. Sets up connection based on PostgreSQL connection string. | |
| virtual | ~connection () |
This is the class you typically need when you first work with a database through libpqxx. Its constructor immediately opens a connection. Another option is to defer setting up the underlying connection to the database until it's actually needed; the lazyconnection class implements such "lazy" behaviour. Most of the documentation that you'll need to use this class is in its base class, connection_base.
The advantage of having an "immediate" connection (represented by this class) is that errors in setting up the connection will probably occur during construction of the connection object, rather than at some later point further down your program.
This class is a near-trivial implementation of the connection_base interface defined in connection_base.h. All features of any interest to client programmers are defined there.
|
|
Constructor. Sets up connection without connection string. Only default values will be used, or if any of the environment variables recognized by libpq (PGHOST etc.) are defined, those will override the defaults. |
|
|
Constructor. Sets up connection based on PostgreSQL connection string.
|
|
|
Constructor. Sets up connection based on PostgreSQL connection string.
|
|
|
|


All the examples here are mode for Vapor 3, but could be applied anywhere else.
Everytime you are creating an API you are creating a new contract that says: I promise to give all this agreed set of informations when requested, nothing less
. It is important to adhere to this because you will give predictability to whoever is consuming the API, don’t making them assuming that something could not be present, therefore breaking its application.
This contract will not always be a full reflection of the database structure. You can have an User
table, for example, with password and some other personal information that you should not expose in an API. It is in this moment that a public-facing entity come at hand.
Let’s consider a table structure to an User
:
final class User: SQLiteModel {
var id: Int?
var email: String
var firstName: String
var secondName: String
var password: String
var token: String
init(id: Int?, email: String, firstName: String, secondName: String, password: String) {
self.id = id
self.email = email
self.firstName = firstName
self.secondName = secondName
self.password = password
self.token = // generate token here
}
}
When you create an endpoint to retrieve the user’s information, you may want to leave its password out of the response. Then you will have a new object to hold only the data you need to:
extension User {
struct Public: Content {
let id: Int
let email: String
let firstName: String
let secondName: String
let token: String
init(user: User) throws {
self.id = try user.requireID()
self.email = user.email
self.firstName = user.firstName
self.secondName = user.secondName
self.token = user.token
}
}
}
The Public
struct reflects the same structure of User
but leaves the password
out of it. Keeping it as an struct inside User
gives a clarity of what it is and to who it belongs.
The initializer will get all the information from an User
object, what can give the option to change the information. For example, you may want to have just one user name field:
extension User {
struct Public: Content {
let id: Int
let email: String
let userName: String
let token: String
init(user: User) throws {
self.id = try user.requireID()
self.email = user.email
self.userName = "\(user.firstName) \(user.secondName)"
self.token = user.token
}
}
}
An entity should not hold any business logic, as its purpose is to transmit the data. Creating a protocol for it gives more flexibility when defining the actual structure that will be transformed in the request or response JSON.
protocol UserPublicInformation: Decodable {
var id: Int { get }
var email: String { get }
var userName: String { get }
var token: String { get }
}
Conforming the protocol to Decodable
already gives the information that it is in use only to output (response) information and conforming the previous Public
structure to this protocol will guarantee that it will always have this minimum needed set of properties.
Creating a pure-Swift code, without any specific logic or without conforming to any other specific protocol, enable this approach to be shared between serve and client.
All parts would agree in the properties and the struct, then the protocols can be in a separate repository, clearly marked and named, and versioned using tags.
This approach could enable a better understand of the API needs, on both sides, and more reliability on passing the data from one side to the other. Going even further, this repository could have the same protocol in two versions: Swift and Kotlin.
Every API is a contract between server and client. Public-facing entities are the reflection of the public information from a model and defining its structure in a protocol could benefit the transmission of this information, making it more reliable and enabling a sharing of the protocol code between server and client.


Switchy Clock
Static Clock (seconds)
Static Clock (minutes)
Paper (scroll/zoom/swipe)
Paper (autoscroll)


base
/
net.corda.v5.base.stream
/
FiniteDurableCursorBuilder
/
build
build
abstract
fun
build
(
)
:
FiniteDurableCursor
<
T
>


References
-
M. J. Berger and S. H. Bokhari. "A partitioning strategy
for nonuniform problems on multiprocessors." IEEE Trans. Computers,
C-36 (1987), 570-580.
-
K. Devine, B. Hendrickson, M. St.John, E. Boman,
and C. Vaughan. "Zoltan: A Dynamic Load-Balancing
Library for Parallel Applications, User's Guide." Sandia National Laboratories
Tech. Rep. SAND99-1377, Albuquerque, NM, 1999.
-
H. C. Edwards. A Parallel Infrastructure For Scalable
Adaptive Finite Element Methods and Its Application To Least Squares C^(inf)
Collocation. Ph.D. Dissertation, University of Texas at Austin, May,
1997.
-
B. Hendrickson and K. Devine. "Dynamic Load Balancing
in Computational Mechanics." Comp. Meth. Appl. Mech. Engrg., 184
(2000) 484-500.
-
B. Hendrickson and R. Leland. ``The Chaco User's
Guide, version 2.0.'' Sandia National Laboratories Tech. Rep. SAND94-2692,
Albuquerque, NM, 1994. http://cs.sandia.gov/CRF/chac.html
-
G. Karypis and V. Kumar. ``ParMETIS:
Parallel graph partitioning and sparse matrix ordering library.''
Tech. Rep. 97-060, Dept. of Computer Science, Univ. of Minnesota, 1997.
https://www-users.cs.umn.edu/~karypis/metis/parmetis/
-
C. Walshaw. "Parallel Jostle Library Interface:
Version 1.1.7." Tech. Rep., Univ. of Greenwich, London, 1995.
https://www.gre.ac.uk/jostle
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Web Exploitation
Contents
Web Exploitation#
GET aHEAD#
This probably goes down as one of those “boy, did you make it harder than it should have been” activities.
You are asked to find the flag hidden at http://mercury.picoctf.net:47967.
After a bit of benign poking around, I assumed that you need to use burp (or similar) to modify the requests, so I fired it up and started looking around. I had expected to find something in the headers taht would give the answer, but no joy. After fighting with this for too long, I broke down and looked at the first hint, which said something like “maybe you have more than two choices”. Score one for my lack of creativity. Looking at the page code again, I noticed that one option submitted a GET
request and the other did a POST
request.
Great! All I need to do is loop through the valid HTTP verbs, and I’ll be set. So, I captured a request in burp, sent it to the Repeater tool, modified the verb, and sent it… did it again for each verb (GET
, PUT
, POST
, PATCH
, DELETE
) and, as you might guess… no joy. My creative thinking fails again. Finally, I tried HEAD
(a guess, based on the title of the challenge) and, wouldn’t you guess… bingo.
I then stepped back to curl
to see if I could have done it there, and ended up with this one-liner:
# -I (or --head) fetches the HTTP headers only. --> this is the same as sending a HEAD verb
$ curl http://mercury.picoctf.net:47967 -I
HTTP/1.1 200 OK
flag: picoCTF{redacted_value}
Content-type: text/html; charset=UTF-8
Insp3ct0r#
We are encouraged to inspect the following URL: https://jupiter.challenges.picoctf.org/problem/9670/
Upon viewing the source, we quickly see 1/3rd of the key in the comment string at the bottom: picoCTF{tru3_d3
… now to find the remaining 2/3rds. Poking around at the downloaded JS file myjs.js
, we see the end of the flag: _lucky?2e7b23e3}
. All we are missing now is the middle part… Thinking ever so little, we assume that we can go to the only other referenced file (mycss.css
) and find the middle part of the key, which we do: t3ct1ve_0r_ju5t
Note
for what it is worth, I found this to be a very easy “challenge”, and more on the lines of a 10 point challenge than the two prior ones…
Scavenger Hunt#
We are asked to find the interesting information hidden here: http://mercury.picoctf.net:39491/
looking at the page source, we find
picoCTF{t
looking at the css source we find
h4ts_4_l0
looking at the JS source, we find a hint…
/* How can I keep Google from indexing my website? */
which points us torobots.txt
looking at
robots.txt
, we findt_0f_pl4c
as well as a hint that this is an apache serverlooking at
.htaccess
(clearly a mis-configured apache server), we find3s_2_lO0k
. We also see that this was built on a mac and that we can store alot of info there.looking at
.DS_Store
, we find the last portion:_f7ce8828}
Some Assembly Required 1#
No description provided, no hints provided, just this url: http://mercury.picoctf.net:26318/index.html
. Once you get there, you have a form that says “enter flag” with a submit button.
After noodling around a little, this challenge looks like an introduction to Web Assembly
As I normally do, I spent way too much time trying to unravel the JS code here (mild obfuscation) only to realize that I was missing the really obvious piece… the following is the magic line:
let _0x5f0229 = await fetch(_0x48c3be(489)),
In order to understand what is going on (and get the flag), you need to know the following:
_0x48c3be
is a function pointer, declared two lines prior, that points to the function defined on line 28 of the de-mangled javascript (const _0x4e0e = function (_0x553839, _0x53c021) {
).you then need to know how the
_0x4e0e()
function works.It essentially takes in a number, subtracts
470
from it, and then uses the result as an index into the_0x402c
array defined at the top of the file.Before you get too excited, however, you need to understand that the immediately-executing function defined prior to the current code block (line
33
for me, which starts liek(function (_0x76dd13, _0x3dfcae) {
) modifies/sorts the array into a different order. Without this knowledge, your indicies will point to the wrong place.Having done all of that, you can determine that
fetch()
call referenced above is grabbing a pre-compiled blob of web assembly code. If you download that file (http://mercury.picoctf.net:26318/JIFxzHyW8W
) and run strings on it, you will see the flag you can submit.
Tip
A few things that were helpful for me as I worked through this one:
Using jsbin to execute random JavaScript was quite helpful
Figuring out that when FireFox’s dev tools “demangled” the javascript, it left the two words
await fetch()
slammed together asawaitfetch()
. The latter is not a function that you will find, and searching for it will leave you disappointed. Adding the space in between them and then trying to understand the code will place you in a much better position.
where are the robots#
After the last one that took me quite a long time to solve, this one was nearly a joke. The title suggests that mabye it is a robots.txt problem. Visiting the URL and then adjusting it for robots.txt
renders a page that is prohibited (1bb4c.html
). If you point your browser there, you will be presented the flag.
logon#
This one was, once again, pretty easy. You follow the instructions given and log in as jason
(no password). Nothing is obvious other than no flag being shown. If, however, you inspect the cookies, you’ll see a parameter that says admin=False
. If you alter this to say admin=True
and resend the request, you’ll be rewarded with the flag to submit.
dont-use-client-side#
Note
not yet started
It is my Birthday#
Note
not yet started
Who are you?#
Note
not yet started
login#
Note
not yet started
Some Assembly Required 2#
Note
not yet started
Super Serial#
Note
not yet started
caas#
Note
not yet started
Some Assembly Required 3#
Note
not yet started
Web Gauntlet 2#
Note
not yet started
picobrowser#
Note
not yet started
Client-side-again#
Note
not yet started
Web Gauntlet#
Note
not yet started
Some Assembly Required 4#
Note
not yet started
X marks the spot#
Note
not yet started
notepad#
Note
not yet started
Irish-Name-Repo 1#
Note
not yet started
Web Gauntlet 3#
Note
not yet started
JAuth#
Note
not yet started
Irish-Name-Repo 2#
Note
not yet started
Irish-Name-Repo 3#
Note
not yet started
JaWT Scratchpad#
Note
not yet started
Java Script Kiddie#
Note
not yet started
Java Script Kiddie 2#
Note
not yet started


Left your review (English only!)
For example:
the film sucks!
Good movie. Got pleasure.


|
SUBJECT INDEX Anthropology Architecture Art Black Studies Business Ecology Economics Education Film Healthcare History Law Linguistics Literature Mass Media Medicine Music Philosophy Political Science Psychology Religion Science Shakespeare Sociology Sports Recreation Urban Studies Women's Studies |
Ecology: Ecological BalanceTo order a specific paper, click the Catalog Number button next to the Paper Title of interest. Send comments to<EMAIL_ADDRESS>Last Updated: 12/21/96 Copyright ©1996 ASM Communications, Inc. All Rights Reserved. |


PhDs Awarded Per Year
We believe this plot depicts a real trend. However, the data certainly contain a bias in that recent
PhDs are more likely to be included in the tree.
An exponential model fit to this data suggests there will be {{ preds.EXP_2050_prediction }} new PhysAnth PhDs per year by 2050.
Considering only the years 2000-2013, the relationship looks more linear. An OLS regression predicts {{ preds.OLS_2050_prediction }} new PhDs per year by 2050.
Schools by number of PhDs
Hover to see school name. Only schools producing more than 2 PhDs are shown.
Specializations by number of PhDs
Hover to see name of specialization.


EBD - Easton Bible DIctionary
Misheal
MISHEAL
"MISHEAL "(
Joshua 19:26
), a town of Asher, probably the same as Mishal.
"MISHEAL "(Joshua 19:26), a town of Asher, probably the same as Mishal.


The PP package includes estimation of (MLE, WLE, MAP, EAP, ROBUST) person parameters for the 1,2,3,4-PL model and the GPCM (generalized partial credit model). The parameters are estimated under the assumption that the item parameters are known and fixed. The package is useful e.g. in the case that items from an item pool / item bank with known item parameters are administered to a new population of test-takers and an ability estimation for every test-taker is needed.
| Version: | 0.6.1 |
| Depends: | R (≥ 3.0) |
| Imports: | Rcpp (≥ 0.11.2) |
| LinkingTo: | Rcpp |
| Suggests: | testthat, roxygen2, knitr, eRm, data.table, prettydoc |
| Published: | 2017-05-12 |
| Author: | Reif Manuel [cre, aut], Steinfeld Jan [aut] |
| Maintainer: | Reif Manuel <manuel.reif at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/manuelreif/PP |
| NeedsCompilation: | yes |
| Citation: | PP citation info |
| In views: | Psychometrics |
| CRAN checks: | PP results |
| Reference manual: | PP.pdf |
| Vignettes: |
Getting started with Person-Fit in PP Getting started with PP Analyzing a dataset |
| Package source: | PP_0.6.1.tar.gz |
| Windows binaries: | r-devel: PP_0.6.1.zip, r-release: PP_0.6.1.zip, r-oldrel: PP_0.6.1.zip |
| OS X binaries: | r-release: PP_0.6.1.tgz, r-oldrel: PP_0.6.1.tgz |
| Old sources: | PP archive |
Please use the canonical form https://CRAN.R-project.org/package=PP to link to this page.


Polipo will shut down cleanly if it receives SIGHUP
,
SIGTERM
or SIGINT
signals; this will normally happen
when a Polipo in the foreground receives a ^C
key press, when
your system shuts down, or when you use the kill
command with
no flags. Polipo will then write-out all its in-memory data to disk
and quit.
If Polipo receives the SIGUSR1
signal, it will write out all
the in-memory data to disk (but won't discard them), reopen the log
file, and then reload the forbidden URLs file (see Forbidden).
Finally, if Polipo receives the SIGUSR2
signal, it will write
out all the in-memory data to disk and discard as much of the memory
cache as possible. It will then reopen the log file and reload the
forbidden URLs file.


If you use the FreeBSD package or port, mpd will be
automatically installed
into /usr/local/sbin/mpd5
.
with the default set of device types compiled into it.
In order to run, mpd needs
a few configuration files. The directory
/usr/local/etc/mpd5
is created
to hold them.
In it you will find some sample configuration files.
Before you can run mpd, you must set up your site-specific configuration files. These files are:
mpd.conf
This file defines one or more configurations. When mpd is invoked, you specify the name of a configuration on the command line. This configuration (which merely consists of a series of mpd commands) is loaded. If no configuration is given, 'default' configuration is loaded.
Each configuration defines one or more bundles, links and repeaters.
They can be defined with the create
command.
Subsequent commands in the configuration configure the various
layers for that item.
mpd.secret
This file contains login, password pairs. This is where
mpd looks to find all authentication information. This
file should be readable only by root
.
mpd.script
This file contains chat scripts for modem devices.


| 014:005 Khan | : |
And indeed We sent Musa (Moses) with Our Ayat (signs, proofs, and evidences) (saying): "Bring out your people from darkness into light, and make them remember the annals of Allah. Truly, therein are evidences, proofs and signs for every patient, thankful (person)." |
| 014:005 Maulana | : |
And certainly We sent Moses with Our messages, saying: Bring forth thy people from darkness into light and remind them of the days of Allah. In this are surely signs for every steadfast, grateful one. |
| 014:005 Pickthal | : |
We verily sent Moses with Our revelations, saying: Bring thy people forth from darkness unto light. And remind them of the days of Allah. Lo! therein are revelations for each steadfast, thankful (heart). |
| 014:005 Rashad | : |
Thus, we sent Moses with our miracles, saying, "Lead your people out of darkness into the light, and remind them of the days of GOD." These are lessons for every steadfast, appreciative person. |
| 014:005 Sarwar | : |
We sent Moses and gave him miracles in order to lead his people from darkness into light and to remind them of the days of God. In this there is evidence (of the truth) for those who exercise patience and give thanks. |
| 014:005 Shakir | : |
And certainly We sent Musa with Our communications, saying: Bring forth your people from utter darkness into light and remind them of the days of Allah; most surely there are signs in this for every patient, grateful one. |
| 014:005 Sherali | : |
And WE sent Moses with Our Signs, saying, 'Bring forth thy people from the depths of darkness into light and remind them of the days of ALLAH.' Surely, therein are Signs for every patient and thankful person. |
| 014:005 Yusufali | : |
We sent Moses with Our signs (and the command). "Bring out thy people from the depths of darkness into light, and teach them to remember the Days of Allah." Verily in this there are Signs for such as are firmly patient and constant,- grateful and appreciative. |
Concepts/Themes Covered:
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.