The Hill's 12:30 Report — Presented by Johnson & Johnson — Trump calls into 'Fox & Friends,' talks impeachment
by Cate Martel--> A midday take on what's happening in politics and how to have a sense of humor about it.*
*Ha. Haha. Hahah. Sniff. Haha. Sniff. Ha--breaks down crying hysterically.
The Hill’s 12:30 Report: Trump calls into ‘Fox & Friends’ | Says he wants a trial | Repeats debunked Ukraine claim | Hill, Holmes give damaging testimony | Five takeaways | New poll: Independents now oppose impeachment | Elon Musk botches Cybertruck demo, shatters ‘Armor Glass’ windows twice
NEWS OF THE MORNING
Everyone, please welcome our co-host, Donald Trump:
President Trump called into “Fox & Friends” this morning for a nearly hourlong interview.
Watch Trump’s full interview: http://bit.ly/2QH7SbG
TRUMP REPEATED HIS DEBUNKED CLAIM THAT UKRAINE IS CONNECTED TO A HACKED 2016 DEMOCRATIC SERVER:
Trump said on “Fox & Friends”: "They gave the server to CrowdStrike or whatever it’s called, which is a company owned by a very wealthy Ukrainian, and I still want to see that server. ... A lot of it had to do, they say, with Ukraine. Why did they give it to a Ukrainian company?"
Co-host Steve Doocey asked: "Are you sure they did that?"
Trump: "That’s what the word is. That’s what I asked actually on my phone call you know. I asked it very point-blank because we’re looking for corruption. There’s tremendous corruption. Why should we be giving hundreds of millions of dollars to countries when there’s this kind of corruption?"
Keep in mind: “Trump made the claim a day after a former White House official with expertise on Russia, Fiona Hill, chastised Republicans for giving air in the impeachment hearings to conspiracy theories that Ukraine, and not Russia, was a driver of electoral interference in the 2016 election.” http://bit.ly/2rkjI0Y
TRUMP SAID HE WANTS A TRIAL:
“I want a trial,” Trump said. “There’s nothing there.” http://bit.ly/35n8h7l
ON KELLYANNE CONWAY’S HUSBAND, GEORGE:
"Kellyanne is great but she’s married to a total whack job,” Trump said on the show. “I think, she must have done some number on him ...  She must have done some bad things to him because that guy’s crazy." http://bit.ly/2KLFh11
ON THE IMPEACHMENT HEARINGS:
Happy Friday! I’m Cate Martel with a quick recap of the morning and what’s coming up. Send comments, story ideas and events for our radar to<EMAIL_ADDRESS>— and follow along on Twitter @CateMartel and Facebook.
Did someone forward this to you? Want your own copy? Sign up here to receive The Hill's 12:30 Report in your inbox daily: http://bit.ly/2kjMNnn
IN THE WHITE HOUSE
It’s me, Prince Charming:
Via The Hill’s Alexander Bolton, “President Trump stepped up his charm offensive with Senate Republicans, who will handle any House impeachment charges, by meeting Thursday with a group of GOP lawmakers that included two of his biggest critics: Sens. Mitt Romney (Utah) and Susan Collins (Maine).” http://bit.ly/2D3ZLOx
What they discussed, besides impeachment of course: “Legislation to lower prescription drug costs, the U.S.-Mexico-Canada trade deal and proposals to curb vaping products.”
REACTIONS FROM REPUBLICANS INVOLVED:
Sen. Susan Collins (R-Maine): Collins said “the vast majority of the discussion was on prescription drugs and vaping.” And she said Trump’s comments on impeachment were “brief.”
Sen. Shelley Moore Capito (R-W.Va.): “It was good.” She also said she got to pitch the president on her bill to protect minors from sale for financial gain.
Sen. John Cornyn (R-Texas): “We work together necessarily to pass legislation, so I don’t think getting together and having conversations about issues is anything wrong. I think senators will do their duty as they see it, regardless of a free lunch.”
TIDBIT FROM John Bolton THIS MORNING:
Former national security adviser John Bolton tweeted this morning, “Glad to be back on Twitter after more than two months. For the backstory, stay tuned........” http://bit.ly/2reOl7O
He then followed up two hours later: “We have now liberated the Twitter account, previously suppressed unfairly in the aftermath of my resignation as National Security Advisor. More to come.....” http://bit.ly/2XAsFza
LATEST WITH THE IMPEACHMENT INQUIRY
Interesting poll — independents aren’t keen on impeachment:
For context: That’s a 6-point swing since October, when 48 percent supported impeachment and 44 percent opposed it.
I.e.: More independents now oppose impeachment than support it.
See the full Emerson College poll: http://bit.ly/2QHfdIh
FIVE TAKEAWAYS FROM YESTERDAY’S HEARING:
- Hill shuts down GOP conspiracy theory
- Holmes gives details, color about Trump-Sondland call
- Redundancy is part of the strategy
- Schiff, Democrats not waiting for the courts
- Where do we go from here?
Here’s a breakdown of context and what’s next in the process: http://bit.ly/2QIazJW
SPONSORED CONTENT — JOHNSON & JOHNSON
We’re helping to solve America’s urgent health issues by developing a vaccine to prevent HIV, fighting cancer, relieving depression and making personalized joint replacements. Read our latest Health for Humanity Report.
GETTING TRACTION
I can barely watch this clip. The secondhand embarrassment.:
Watch: http://bit.ly/2OHadku
INSIDE THE CYBERTRUCK:
Here is video of the truck demo: http://bit.ly/35sgG9z
IF YOU’RE ALREADY SOLD ON IT (LOL), HOW TO ORDER THE TESLA CYBERTRUCK:
Via CNET: https://cnet.co/2Owd1Re
NOTABLE TWEETS:
If you watch one thing today — I had tears in my eyes from laughing so hard:
The Hill’s Olivia Beavers had a cold while covering the impeachment hearings this week. Her appearance with Anderson Cooper on CNN is incredible.
Hyperlink http://bit.ly/2O8imz4
Watch Olivia talk about it on CNN: http://bit.ly/2OalXN0
ON TAP:
The House and Senate are out. President Trump is in Washington, D.C. Vice President Pence has no public events on his schedule.
11 a.m. EST: President Trump participated in the NCAA Collegiate National Champions Day at the White House.
1:45 p.m. EST: President Trump participates in a listening session on youth vaping and the electronic cigarette epidemic.
3 p.m. EST on Dec. 3: The Senate returns. The Senate’s full schedule: http://bit.ly/2rlXQSz
WHAT TO WATCH:
2 p.m. EST: Sen. Amy Klobuchar (D-Minn.) holds a town hall in Henniker, N.H. Livestream: https://cs.pn/2ObNnCk
NOW FOR THE FUN STUFF...:
Today is National Cranberry Relish Day.
D.C. plans this weekend:
Via Washingtonian’s Madeline Rundlett, here’s a list of food events in the D.C. area this weekend. The list: http://bit.ly/2QOtOBA
And to get your weekend off to the right start, here is an adorable — and patient —“unicorn”: http://bit.ly/34bXo83


Algorithms can send debug messages to the console using the Debug(string message)
method. Debug messages are capped at 200 characters long. If multiple identical messages are sent within 1 second we rate limit the messages to avoid crashing your browser.


class: center, middle, inverse, title-slide # Differential Gene Expression Workflow ## Workshop on RNA-Seq ###
Lokesh Mano
| 24-Nov-2019 ### NBIS, SciLifeLab --- exclude: true count: false <link href="https://fonts.googleapis.com/css?family=Roboto|Source+Sans+Pro:300,400,600|Ubuntu+Mono&subset=latin-ext" rel="stylesheet"> <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.3.1/css/all.css" integrity="sha384-mzrmE5qonljUremFsqc01SB46JvROS7bZs3IO2EmfFsd15uHvIt+Y8vEf7N7fWAU" crossorigin="anonymous">  --- name: content class: spaced ## Contents * [Preprocessing](#pp) * [Normalisation](#norm-1) * [Exploratory](#eda-cor) * [DGE](#dge) --- name: raw ## Raw data - Raw count table ``` ## Sample_1 Sample_2 Sample_3 Sample_4 Sample_5 Sample_6 ## ENSG00000000003 321 303 204 492 455 359 ## ENSG00000000005 0 0 0 0 0 0 ## ENSG00000000419 696 660 472 951 963 689 ## ENSG00000000457 59 54 44 109 73 66 ## ENSG00000000460 399 405 236 445 454 374 ## ENSG00000000938 0 0 0 0 0 1 ``` - Metadata ``` ## Sample_ID Sample_Name Time Replicate Cell ## Sample_1 Sample_1 t0_A t0 A A431 ## Sample_2 Sample_2 t0_B t0 B A431 ## Sample_3 Sample_3 t0_C t0 C A431 ## Sample_4 Sample_4 t2_A t2 A A431 ## Sample_5 Sample_5 t2_B t2 B A431 ## Sample_6 Sample_6 t2_C t2 C A431 ``` --- name: pp ## Preprocessing - Remove genes and samples with low counts ```r cf1 <- cr[rowSums(cr>0) >= 2, ] cf2 <- cr[rowSums(cr>5) >= 2, ] cf3 <- cr[rowSums(edgeR::cpm(cr)>1) >= 2, ] ``` -- - Inspect distribution  -- - Inspect the number of rows ``` ## Raw: 59573, Method 1: 24194, Method 2: 16519, Method 3: 14578 ``` --- name: norm-1 ## Normalisation .pull-left-50[ - Make counts comparable across samples - Control for sequencing depth ![](images/normalization_methods_depth.png) ``` ## s1 s2 s1_tc s2_tc ## x 20 6 0.33 0.38 ## y 25 6 0.42 0.38 ## z 15 4 0.25 0.25 ``` ] -- .pull-right-50[ - Control for sequencing bias ![](images/normalization_methods_composition.png) ``` ## s1 s2 s1_tc s2_tc ## x 20 20 0.12 0.39 ## y 25 25 0.16 0.49 ## z 15 4 0.09 0.08 ## de 100 2 0.62 0.04 ``` ] --- name: norm-2 ## Normalisation - Make counts comparable across features (genes) .size-60[![](images/normalization_methods_length.png)] ``` ## counts gene_length norm_counts ## 1 50 10 5 ## 2 25 5 5 ``` -- - Bring counts to a human-friendly scale --- name: norm-3 ## Normalisation - CPM, RPKM, FPKM, TPM, RLE, MRN, Q, UQ, TMM, VST, RLOG, VOOM ... Too many... -- - **CPM**: Controls for sequencing depth when dividing by total count. Not for within-sample comparison or DE. -- - **RPKM/FPKM**: Controls for sequencing depth and gene length. Good for technical replicates, not good for sample-sample due to compositional bias. Assumes total RNA output is same in all samples. Not for DE. -- - **TPM**: Similar to RPKM/FPKM. Corrects for sequencing depth and gene length. Also comparable between samples but no correction for compositional bias. -- - **TMM/RLE/MRN**: Improved assumption: The output between samples for a core set only of genes is similar. Corrects for compositional bias. Used for DE. RLE and MRN are very similar and correlates well with sequencing depth. `edgeR::calcNormFactors()` implements TMM, TMMwzp, RLE & UQ. `DESeq2::estimateSizeFactors` implements median ratio method (RLE). Does not correct for gene length. -- - **VST/RLOG/VOOM**: Variance is stabilised across the range of mean values. For use in exploratory analyses. Not for DE. `vst()` and `rlog()` functions from *DESeq2*. `voom()` function from *Limma* converts data to normal distribution. -- - **[geTMM](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2246-7)**: Gene length corrected TMM. .citation[ .cite[ Dillies, Marie-Agnes, *et al*. "A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis." [Briefings in bioinformatics 14.6 (2013): 671-683](https://www.ncbi.nlm.nih.gov/pubmed/22988256)] .cite[ Evans, Ciaran, Johanna Hardin, and Daniel M. Stoebel. "Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions." [Briefings in bioinformatics (2017)](https://arxiv.org/abs/1609.00959)] ] --- name: norm-4 ## Normalisation **Recommendations** - For DGE using DGE R packages (DESeq2, edgeR, Limma etc), use raw counts - For visualisation (PCA, clustering, heatmaps etc), use VST or RLOG - For own analysis with gene length correction, use TPM (maybe geTMM?)  ENSG00000266865 ## ENSG00000266876 ## rowData names(0): ## colnames(12): Sample_1 Sample_2 ... Sample_11 Sample_12 ## colData names(5): Sample_ID Sample_Name Time Replicate Cell ``` * Model must be factors - `~var` - `~covar+var` --- name: dge-sf ## DGE | Size factors * Normalisation factors are computed ```r d <- DESeq2::estimateSizeFactors(d,type="ratio") sizeFactors(d) ``` ``` ## Sample_1 Sample_2 Sample_3 Sample_4 Sample_5 Sample_6 Sample_7 Sample_8 ## 0.9003753 0.8437393 0.5106445 1.1276451 1.0941383 0.8133849 0.7553903 1.1744008 ## Sample_9 Sample_10 Sample_11 Sample_12 ## 1.0189325 1.3642797 1.2325485 1.8555904 ``` --- name: dge-dispersion ## DGE | Dispersion * We need a measure variability of gene counts ```r dm <- apply(cd,1,mean) dv <- apply(cd,1,var) cva <- function(x) sd(x)/mean(x) dc <- apply(cd,1,cva) ``` -- <img src="presentation_dge_files/figure-html/unnamed-chunk-22-1.svg" style="display: block; margin: auto auto auto 0;" /> * Dispersion is a measure of variability in gene expression for a given mean --- name: dge-dispersion-2 ## DGE | Dispersion * D is unreliable for low mean counts * Genes with similar mean values must have similar dispersion * Estimate likely (ML) dispersion for each gene based on counts * Fit a curve through the gene-wise estimates * Shrink dispersion towards the curve ```r d <- DESeq2::estimateDispersions(d) {par(mar=c(4,4,1,1)) plotDispEsts(d)} ``` <img src="presentation_dge_files/figure-html/unnamed-chunk-23-1.svg" style="display: block; margin: auto auto auto 0;" /> --- name: dge-test ## DGE | Test * Log2 fold changes changes are computed after GLM fitting ```r dg <- nbinomWaldTest(d) resultsNames(dg) ``` ``` ## [1] "Intercept" "Time_t2_vs_t0" "Time_t24_vs_t0" "Time_t6_vs_t0" ``` -- * Use `results()` to customise/return results * Set coefficients using `contrast` or `name` * Filtering by fold change using `lfcThreshold` * `cooksCutoff` removes outliers * `independentFiltering` * `pAdjustMethod` * `alpha` --- name: dge-test-2 ## DGE | Test ```r res1 <- results(dg,name="Time_t2_vs_t0",alpha=0.05) summary(res1) ``` ``` ## ## out of 14578 with nonzero total read count ## adjusted p-value < 0.05 ## LFC > 0 (up) : 413, 2.8% ## LFC < 0 (down) : 696, 4.8% ## outliers [1] : 0, 0% ## low counts [2] : 2261, 16% ## (mean count < 26) ## [1] see 'cooksCutoff' argument of ?results ## [2] see 'independentFiltering' argument of ?results ``` --- name: dge-test-3 ## DGE | Test ```r head(res1) ``` ``` ## log2 fold change (MLE): Time t2 vs t0 ## Wald test p-value: Time t2 vs t0 ## DataFrame with 6 rows and 6 columns ## baseMean log2FoldChange lfcSE ## <numeric> <numeric> <numeric> ## ENSG00000000003<PHONE_NUMBER>30775 0.220619809383663 0.11276108378839 ## ENSG00000000419<PHONE_NUMBER>99214 0.0592719659601432 0.101481284662652 ## ENSG00000000457 82.078767893562 0.20774862317291 0.220404896514 ## ENSG00000000460<PHONE_NUMBER>0304 -0.129186381676066 0.115139182335096 ## ENSG00000001036<PHONE_NUMBER>11436 0.0288826917736332 0.0851500691928605 ## ENSG00000001084<PHONE_NUMBER>01543 0.211964772147198 0.0929810563117207 ## stat pvalue padj ## <numeric> <numeric> <numeric> ## ENSG00000000003 1.95652437854963 0.0504034135093186 0.263505451695364 ## ENSG00000000419 0.584067950629293 0.559174596319362 0.830262316260442 ## ENSG00000000457 0.942577168015478 0.345897222835914 0.689945926100397 ## ENSG00000000460 -1.12200190288035 0.261861630829691 0.612624613845986 ## ENSG00000001036 0.339197513841303 0.734460942036312 0.909638554355078 ## ENSG00000001084 2.2796554540807 0.0226281312376009 0.159263252830589 ``` -- * Use `lfcShrink()` to correct fold changes for high dispersion genes  --- # Acknowledgements * [Normalising RNA-seq data](https://www.ebi.ac.uk/sites/ebi.ac.uk/files/content.ebi.ac.uk/materials/2012/121029_HTS/ernest_turro_normalising_rna-seq_data.pdf) by Ernest Turro * RNA-seq analysis [Bioconductor vignette](http://master.bioconductor.org/packages/release/workflows/vignettes/rnaseqGene/inst/doc/rnaseqGene.html) * [DGE Workshop](https://github.com/hbctraining/DGE_workshop/tree/master/lessons) by HBC training --- name: end_slide class: end-slide, middle count: false # Thank you. Questions? .end-text[
R version 3.6.1 (2019-07-05)

Platform: x86_64-pc-linux-gnu (64-bit)

OS: Ubuntu 19.10

 Built on :  24-Nov-2019 at  07:40:22 PM 2019 • [SciLifeLab](https://www.scilifelab.se/) • [NBIS](https://nbis.se/) ]


Across: 1. Too much drug-taking in prison environment for 30 town with 29 of 20/5 13 ('16, '17, '18)... (6) 4. 18 stir west nastily (8) 10. No time to relent - pain gets worse year after year (9) 11. Who lugs around pointless eater of corpse? (5) 12. They take drugs in surer form (5) 13. Rent does include a 4 (9) 14. Valence jumping gives isolated location (7) 16. I'm more hazy in recollection (6) 19. Group rang El Salvador hosts (6) 21. Slammed door before your 23 departure from 30 (7) 23. Greeting both sides in Word War I, New Delhi causes big stir (9) 25. Precious piece of livestock held in jail's walls (5) 27. Wrong action of the foot? (5) 28. City player got bowler perhaps to hide (9) 29. Producing a rabbit or three? (3-5) 30. State removed core of farm from territory (6) Down: 1. Took hold of and cared about shot put (8) 2. Off-grid energy sounds dismal (5) 3. Places and stuff? (9) 5. Heavy metal beasts (7) 6. Letter from Europe spells out aims around Greek capital (5) 7. This profession is cool - get involved! (9) 8. Are out to spare whip, making big impression (6) 9. I rue TV's poor quality (6) 15. Able to hold water and land (9) 17. Aura in jam made a contribution to the number (9) 18. 13 superficially copy copies (8) 20. Part of corpse is microbes changing the 3 (7) 21. Did gun go off getting spruce? (6) 22. Change for Glinda in Oz (6) 24. Not yet consumed in the hands (5) 26. Being teetotal was about power (5)


API reference¶
-
class
core.quantify.engine.
Quantity
(link, weight=None, base_all=False, ignore_flags=False)¶ The Quantity object is the main Quantipy aggregation engine.
Consists of a link’s data matrix representation and sectional defintion of weight vector (wv), x-codes section (xsect) and y-codes section (ysect). The instance methods handle creation, retrieval and manipulation of the data input matrices and section definitions as well as the majority of statistical calculations.
Methods
-
calc
(expression, axis='x', result_only=False)¶ Compute (simple) aggregation level arithmetics.
-
count
(axis=None, raw_sum=False, margin=True, as_df=True)¶ Count entries over all cells or per axis margin.
Parameters: axis : {None, ‘x’, ‘y’}, deafult None
When axis is None, the frequency of all cells from the uni- or multivariate distribution is presented. If the axis is specified to be either ‘x’ or ‘y’ the margin per axis becomes the resulting aggregation.
raw_sum : bool, default False
If True will perform a simple summation over the cells given the axis parameter. This ignores net counting of qualifying answers in favour of summing over all answers given when considering margins.
margin : bool, deafult True
Controls whether the margins of the aggregation result are shown. This also applies to margin aggregations themselves, since they contain a margin in (form of the total number of cases) as well.
as_df : bool, default True
Controls whether the aggregation is transformed into a Quantipy- multiindexed (following the Question/Values convention) pandas.DataFrame or will be left in its numpy.array format.
Returns: self
Passes a pandas.DataFrame or numpy.array of cell or margin counts to the
result
property.
-
exclude
(codes, axis='x')¶ Wrapper for _missingfy(...keep_codes=False, ..., keep_base=False, ...) Excludes specified codes from aggregation.
-
filter
(condition, keep_base=True, inplace=False)¶ Use a Quantipy conditional expression to filter the data matrix entires.
-
group
(groups, axis='x', expand=None, complete=False)¶ Build simple or logical net vectors, optionally keeping orginating codes.
Parameters: groups : list, dict of lists or logic expression
The group/net code defintion(s) in form of...
- a simple list:
[1, 2, 3]
- a dict of list:
{'grp A': [1, 2, 3], 'grp B': [4, 5, 6]}
- a logical expression:
not_any([1, 2])
axis : {
'x'
,'y'
}, default'x'
The axis to group codes on.
expand : {None,
'before'
,'after'
}, defaultNone
If
'before'
, the codes that are grouped will be kept and placed before the grouped aggregation; vice versa for'after'
. Ignored on logical expressions found ingroups
.complete : bool, default False
If True, codes that define the Link on the given
axis
but are not present in thegroups
defintion(s) will be placed in their natural position within the aggregation, respecting the value ofexpand
.Returns: None
- a simple list:
-
limit
(codes, axis='x')¶ Wrapper for _missingfy(...keep_codes=True, ..., keep_base=True, ...) Restrict the data matrix entires to contain the specified codes only.
-
normalize
(on='y')¶ Convert a raw cell count result to its percentage representation.
Parameters: on : {‘y’, ‘x’}, default ‘y’
Defines the base to normalize the result on.
'y'
will produce column percentages,'x'
will produce row percentages.Returns: self
Updates an count-based aggregation in the
result
property.
-
rebase
(reference, on='counts', overwrite_margins=True)¶
-
rescale
(scaling, drop=False)¶ Modify the object’s
xdef
property reflecting new value defintions.Parameters: scaling : dict
Mapping of old_code: new_code, given as of type int or float.
drop : bool, default False
If True, codes not included in the scaling dict will be excluded.
Returns: self
-
summarize
(stat='summary', axis='x', margin=True, as_df=True)¶ Calculate distribution statistics across the given axis.
Parameters: stat : {‘summary’, ‘mean’, ‘median’, ‘var’, ‘stddev’, ‘sem’, varcoeff’,
‘min’, ‘lower_q’, ‘upper_q’, ‘max’}, default ‘summary’
The measure to calculate. Defaults to a summary output of the most important sample statistics.
axis : {‘x’, ‘y’}, default ‘x’
The axis which is reduced in the aggregation, e.g. column vs. row means.
margin : bool, default True
Controls whether statistic(s) of the marginal distribution are shown.
as_df : bool, default True
Controls whether the aggregation is transformed into a Quantipy- multiindexed (following the Question/Values convention) pandas.DataFrame or will be left in its numpy.array format.
Returns: self
Passes a pandas.DataFrame or numpy.array of the descriptive (summary) statistic(s) to the
result
property.
-
swap
(var, axis='x', inplace=True)¶ Change the Quantity’s x- or y-axis keeping filter and weight setup.
All edits and aggregation results will be removed during the swap.
Parameters: var : str
New variable’s name used in axis swap.
axis : {‘x’, ‘y’}, default
'x'
The axis to swap.
inplace : bool, default
True
Whether to modify the Quantity inplace or return a new instance.
Returns: swapped : New Quantity instance with exchanged x- or y-axis.
-
unweight
()¶ Remove any weighting by dividing the matrix by itself.
-
weight
()¶ Weight by multiplying the indicator entries with the weight vector.
-
-
class
core.quantify.engine.
Test
(link, view_name_notation, test_total=False)¶ The Quantipy Test object is a defined by a Link and the view name notation string of a counts or means view. All auxiliary figures needed to arrive at the test results are computed inside the instance of the object.
Methods
-
get_se
()¶ Compute the standard error (se) estimate of the tested metric.
The calculation of the se is defined by the parameters of the setup. The main difference is the handling of variances. unpooled implicitly assumes variance inhomogenity between the column pairing’s samples. pooled treats variances effectively as equal.
-
get_sig
()¶ TODO: implement returning tstats only.
-
get_statistic
()¶ Returns the test statistic of the algorithm.
-
run
()¶ Performs the testing algorithm and creates an output pd.DataFrame.
The output is indexed according to Quantipy’s Questions->Values convention. Significant results between columns are presented as lists of integer y-axis codes where the column with the higher value is holding the codes of the columns with the lower values. NaN is indicating that a cell is not holding any sig. higher values compared to the others.
-
set_params
(test_total=False, level='mid', mimic='Dim', testtype='pooled', use_ebase=True, ovlp_correc=True, cwi_filter=False, flag_bases=None)¶ Sets the test algorithm parameters and defines the type of test.
This method sets the test’s global parameters and derives the necessary measures for the computation of the test statistic. The default values correspond to the SPSS Dimensions Column Tests algorithms that control for bias introduced by weighting and overlapping samples in the column pairs of multi-coded questions.
Note
The Dimensions implementation uses variance pooling.
Parameters: test_total : bool, default False
If set to True, the test algorithms will also include an existent total (@-) version of the original link and test against the unconditial data distribution.
level : str or float, default ‘mid’
The level of significance given either as per ‘low’ = 0.1, ‘mid’ = 0.05, ‘high’ = 0.01 or as specific float, e.g. 0.15.
mimic : {‘askia’, ‘Dim’} default=’Dim’
Will instruct the mimicking of a software specific test.
testtype : str, default ‘pooled’
Global definition of the tests.
use_ebase : bool, default True
If True, will use the effective sample sizes instead of the the simple weighted ones when testing a weighted aggregation.
ovlp_correc : bool, default True
If True, will consider and correct for respondent overlap when testing between multi-coded column pairs.
cwi_filter : bool, default False
If True, will check an incoming count aggregation for cells that fall below a treshhold comparison aggregation that assumes counts to be independent.
flag_bases : list of two int, default None
If provided, the output dataframe will replace results that have been calculated on (eff.) bases below the first int with
'**'
and mark results in columns with bases below the second int with'*'
Returns: self
-


I particularly like the idea (in the comments) of using links in email to drive garbage collection of data sets.


Hi - Better Battlelog Forums #2078
Sitemap
04. October 2012 00:16
Topicstarter
PunXt3rr0r
Hi there,
I subscribed to the board for the webdesign contest but since I'l there, I'll probably lurk here for a while.
Thank you for providing us the best Battlelog plug-in.
Cheers!
04. October 2012 14:00
xXJumpyXx
Helping Hand
Welcome.
04. October 2012 15:13
Dendari
Translator
Welcome and good luck with the contest.


---
layout: post
title: Sorting Algorithms Explained Through Traditional Folk Dance | Software Engineering
| Learnist
date: '2013-05-31T09:07:00.001+01:00'
author: John Smith
tags:
modified_time: '2013-05-31T09:07:23.583+01:00'
blogger_id: tag:blogger.com,1999:blog-31446756.post-5398520575707298529
blogger_orig_url: http://www.solrevdev.com/2013/05/sorting-algorithms-explained-through.html
---
"Sorting Algorithms Explained Through Traditional Folk Dance"
Sorting Algorithms Explained Through Traditional Folk Dance | Software Engineering | Learnist:
'via Blog this'


Origin Story
I found my dog Mascis when he was only 3 months old. He was eating the crumbs out of a bag of chips in a gutter. We picked him up and tried to find his owner around the neighborhood. Eventually, we were introduced to a man named Icewater, who was Mascis's owner.
Due to circumstances beyond his control, Icewater was unable to care for Mascis, and offered to sell him to us if we took good care of him. A deal was struck, and Mascis came home for a bath, an life necessity that hte hates to this day.
Mascis is named after shaggy-haired, bearded guitar player named J Mascis, founder of Dinosaur Jr.
Mascis Facts
Tricks
| Command Phrase | Action Performed | Success Rate |
|---|---|---|
| Sit | Sits down | 95% |
| Down | Lies down | 80% |
| Touch | Touches his nose to your hand like a high five | 95% |
| Roll over | Does a full roll on the ground | 70% (higher if treat is offered) |
| Shake | Offers paw for a handshake | 90% |
| You have the bridge | Goes to his Star Trek commander's chair/bed | 70% |
| Take the Iron Throne | Get on his chair | 60% (Often goes to his bed instead) |
Thoughts on other dog sites
Sir Charles Barkeley the French Bull Dog Has a website with an ok layout, but a lot of problems. It has a javascript function that disables right clicking and brining up the contextual menu. This is annoying. I like the navigation and slim style, but on the whole, am not in love with antything about the site. It did use some semantic markup for footers, but that's about it. It can be hard to find a dog with good design and coding skills.


The NASA Ames PAH IR Spectroscopic Database[1] [2] (PAHdb hereafter) hosts the world's foremost collection of infrared (IR) PAH spectra. PAHdb's spectral libraries contain over 4,000 laboratory measured and quantum chemically computed PAH spectra. Beyond spectroscopic data, PAHdb also provides software tools to work with the spectral data. The portal to the data and tools is the PAHdb website, which is located at https://www.astrochemistry.org/pahdb. This is the manual for the AmesPAHdbIDLSuite and describes its features, capabilities and usage.
Please consult the website for additional resources and information, and the PAHdb cookbook for general usage and examples.
Last updated April 2023
Footnotes
| [1] | Since FY2019 the NASA Ames PAH IR Spectroscopic Database is being supported through a directed Work Package at NASA Ames titled: "Laboratory Astrophysics — The NASA Ames PAH IR Spectroscopic Database". |
| [2] | Since FY2023 the NASA Ames PAH IR Spectroscopic Database is being supported through the Laboratory Astrophysics Round 2 directed Work Package at NASA Ames. |


Introducing a location based donation platform to help the people in need. This website is intended to bridge the gap between the people who would want to donate to the needy from their own location.
Advaith Aditya Chevuturu : - Phone no......


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/ring.20bug.3F.20use.20bug.3F.html ---
Whatever's going on here?
import data.real.basic -- real numbers lemma Sht2Question5a : ∀ x : ℝ, ∃ y : ℝ, x + y = 2 := begin intro x, use 2 - x, -- ⊢ x + (2 - x) = 2 ring, -- nothing happened? ring, -- normal service resumed, goal closed end
If I'd not tried this out beforehand then I would have looked very silly in front of 300 people.
Even with pp.all true I cannot figure out the problem. The first ring
seems to not change the tactic state at all.
example (x : ℝ) : x + (2 - x) = 2 := by ring
works fine
I think use
is leaving uninstantiated metavars in the goal. The first ring
call is instantiating them but doing nothing else, then the second finishes the job.
existsi
instead of use
works.
I thought use
would be the culprit. I was surprised the metavars didn't manifest themselves in some way in the tactic state though.
Thanks Rob.
I don't see anything suspicious in use
that would cause this. It's basically just a wrapper around refine
and fconstructor
. It feels a little hackish to just make use
clean up the goal afterward, but I'm not sure how else to fix it.
Is there a "clean up metavars in the goal" tactic already? Something like this?
meta def fix_goal : tactic unit := target >>= instantiate_mvars >>= change
I thought
use
would be the culprit. I was surprised the metavars didn't manifest themselves in some way in the tactic state though.
The pretty printer instantiates metavars by default, you can disable it with set_option pp.instantiate_mvars false
to see what's happening.
Hmm, maybe it's not so hackish. The alternative is asking ring
to clean up the goal before it starts. I'm not sure there's a well-defined policy on whose job it is to instantiate metavars. Some tactics don't care if they're present, but it matters for things like ring
that look at the structure of the target expression.
All this under-the-hood stuff that I as a non-meta person have very little understanding of. Still so much to learn!
It's actually pretty simple to understand in this case. You're starting with one goal ∃ n : T, P n
. use
begins by splitting this into two goals. The first goal is T
, the second is to show that P
holds of whatever value of T
you give in the first goal. This missing value is represented with a metavariable ?m
. When you solve the first goal with k : T
the metavariable gets assigned to k
. For anything working "up to defeq," the second goal is P k
. But syntactically it's still P ?m
, which confuses ring
.
This sound like it's definitely use
s job to clean up after itself... :stuck_out_tongue_wink:
If you were just solving the second goal by applying a proof of P k
, it wouldn't matter.
Has this turned into a pull request?
 The PR should be adding
meta def fix_goal : tactic unit := target >>= instantiate_mvars >>= change
and applying it to all goals after a successful application of use
.
Do you understand why existsi
doesn't have this issue?
It also might not be a bad idea to make ring
instantiate mvars in the goal before it starts.
I find it very annoying that sometimes use
doesn't work while existsi
works. It means we have to keep both in our heads.
 But I changed my mind. Now I'm ready to sacrifice this in favor or reliability and getting rid of existsi
entirely.
Unlike use
, existsi t
doesn't create any new goals under the hood. It's possible to hit this same problem with existsi
too:
lemma Sht2Question5a' : ∀ x : ℝ, ∃ y : ℝ, x + y = 2 := begin intro x, existsi _, swap, exact 2 - x, ring, ring end
Assuming this issue with use
is fixed, what are the other problems?
use
is somewhat more general than existsi
because it supports things like this:
example : ∃ p : ℕ × ℕ, true := begin use [1, 2], -- good -- existsi [1, 2] -- fails end example : ∃ p : ℕ × ℕ, true := begin use 1, /- 2 goals ⊢ ℕ ⊢ true-/ end
I'll try to grep for existsi
in the perfectoid project, and see if I can get a minimized version
So long as there aren't really any core tactics which are big metavariable offenders, it seems reasonable to me that a convention to clean up after yourself is optimal. On the other hand, unless tactics are being called automatically (as in by another tactic lots of times), probably instantiate_mvars
can't be thaaat expensive to pointlessly run?
Oh, but I see your example makes existsi
mess up ring
. Gotcha.
Yeah, the problem is it's not always possible to clean up, as in the existsi
example. I think it's reasonable to ask interactive tactics to clean up as much as they can. But that's not a guarantee.
https://github.com/leanprover-community/mathlib/pull/1520
Did you try to figure out the performance impact on ring?
It should be negligible.
I guess it'd be O(number of verts in the expression tree)
if the number of metavariables is low, and there are some pretty cray cray typeclass-related expression traces, but probably not in a goal ring
should eat I guess.
The calls to instantiate_mvars_in_target
take at most half a millisecond each. I'll keep going and see if there are any weird long ones, but I bet this adds under half a second total.
It does actually add a few ms to complex.exp_add
.
Oh I need to look at this thread again later, but this is very interesting. I've seen the ring, ring
thing before and I never imagined it could be the fault of something other than ring
itself
import data.real.basic tactic.ring example (a b l m : ℝ) : abs(a + (b + (-l - m))) = abs(a + (-l + (b - m))) := -- by ring -- I think this used to work but now it doesn't by congr' 1; ring
Did ring
change as a result of this conversation and now this? Or was this some other change? A project which I'm pretty sure used to compile now no longer does.
Similarly lam n, [a thing] = lam n, [a thing which ring can prove is equal]
can no longer be closed by ring
. Am I just behind the times? If this is a design decision I'm fine.
I don't think that was ever supposed to work
ring
will rewrite in subterms if it isn't facing an equality of rings, but that's mostly for viewing purposes so you know why ring
isn't working
OK then no worries. I have an old project written before update-mathlib and I bumped mathlib to get update-mathlib working and it broke the project.
All the fixes are easy. I neither know nor care why it broke.
I would actually expect in the abs
example that ring
sees it as two atoms and tries to prove x = y
Last updated: Apr 24 2020 at 19:02 UTC


File / Directory |
Mutation score |
# Killed |
# Survived |
# Timeout |
# No coverage |
# Runtime errors |
# Transpile errors |
Total detected |
Total undetected |
Total mutants | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| All files | 90.00 | 9 | 1 | 0 | 0 | 0 | 0 | 9 | 1 | 10 | |
| src2/sample-module/ | 83.33 | 5 | 1 | 0 | 0 | 0 | 0 | 5 | 1 | 6 | |
| src/sample-module/sample.ts | 100.00 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | |
| src3/sample-module/sample3.ts | 100.00 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |


Part 3 - Configuring a course
Creating an AutoStart
It is super easy to create an AutoStart pressure plate that will trigger the joining of a course, instead of using the traditional Join signs.
Stand where you would like the AutoStart location to be, and enter /pa setautostart (course) which will create a configurable block below you, and a pressure plate on top.
Creating a Join Item
When a player joins a course you are able to give them an item which they can use throughout the course. An example could be an Elytra to help navigate the course, instead of relying on a chest / another plugin.
This is achieved by entering /pa setjoinitem (course) (material) (amount) an example could be /pa setjoinitem tutorial ELYTRA 64.
Set Maximum Deaths
You are able to limit the amount of deaths a player can accumilate before they are kicked off the course for extra challenge. An example could be a quick challenging course that allows the player just 1 life to complete.
This is achieved by entering /pa setmaxdeath (course) (amount).
Set Maximum Time
You are able to limit the amount of time a player can reach before they are kicked off the course for extra challenge. An example could be a challenging course that must be completed in a certain time.
This is achieved by entering /pa setmaxtime (course) (seconds).
Creating a custom lobby
Parkour can allow courses to be split into different lobbys, which could be used to add stages to the server, for example easy, medium and hard courses. This is made easy by entering /pa setlobby (name).
Once submitted, the lobby will be joinable by all players.
If you wish to create a lobby that is restricted to only certain players, this can be achieved using Parkour Levels, which we will cover in the Administration tutorials. This will enforce the player to reach a certain level in the courses to be able to join the lobby, for example completing all the courses in the easy lobby to be able to join the hard lobby. This is achieved by providing a minimum Parkour level required to join.
This is done by providing a level parameter to the command /pa setlobby (name) (level).
Once submitted, the lobby will be joinable by players with the required Parkour level.
To teleport to the lobby, simply enter /pa lobby (name).
Linking a Course after completion
We can change what happens to a player after they complete a course; They can either be teleported to the default lobby, a custom lobby, or join straight into a new course. Firstly, we must select a course to decide the outcome, this is achieved by entering /pa select (course).
After we have created a custom lobby, we can link this course to teleport us to this lobby once we complete the course, this is achieved with the following command /pa link lobby (lobby name).
If we want to link a course to another course, the command becomes /pa link course (course name).
If you want to remove the link, simply enter /pa link reset which will result in the player being teleported to the default lobby.


Maktaba
Your library for clickable stories.
Available stories
Dad, Am I Sorry?
More stories coming soon.


Sort
Sort is used to sort the input records. The key fields and secondary key fields define the primary and secondary key fields to sort on respectively. It is present under the Straight Pull category in the component palette since no transformations are performed on the incoming data. If the ETL is run on Hadoop, Hadoop will always pass on sorted records to reducer. Even, if there is no reducer involved in the operation, there could be multiple mappers involved. In this case, the sort order while distribution of records to the mappers is not guaranteed. Hence, there is no guarantee that the component succeeding sort component will process the records in the sorted order.
Sort has a single input port and a single output port. It does not have an unused port on it.
The Sort component can be easily distinguished in the component palette.
An enlarged version of the same is depicted when dragged on the canvas.
For further reference click on the links below:


enum Tarball::Type
Defined in:
Enum Members
-
DIRECTORY =
0
-
FILE =
1
-
HARDLINK =
2
-
SYMLINK =
3
-
LONGNAME =
4
-
LONGLINKNAME =
5
-
UNSUPPORTED =
6
0
1
2
3
4
5
6


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Home Page
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The Border is Black
The cooler Anas than the one below
The border is not black
The Anas above me is lying


Chateezy web chat
Chatting as "{{ username }}".
Online:
{% for user in users %}
{{ user.username }}
{% endfor %}
send


|
MISSION STATEMENT
A & R exists to meet the needs of our Clients by
providing, with the highest quality and integrity, personalized tax
services.
We will aim for-and
reach-superior, measurable standards of quality with every product we
deliver and every service we provide.
Our Clients will regard us not only as
professional, but also as a trusted friend and ally, as in the pursuit of
their financial dreams.
The A & R name is synonymous with
superior service-superior not in quality and quantity, but also in spirit.
Mere adequacy of quality and quantity of service is not sufficient to
satisfy the commitment we have made to our clients. In fact, itís the spirit
in which we deliver our service that makes us unique. In large part, it is
this spirit which accounts for the A & R difference.
A & R MAKES A DIFFERENCE
THE A & R
INTERVIEW
There is a difference in having
your tax return completed by an A & R professional, and that difference
begins with the interview Ė the most thorough you ever have experienced. In
addition, A & R Bookkeeping & Tax Service is backed by the latest knowledge
about the IRS laws & changes by attending the latest seminars & forums & by
having a thorough library of all the IRS, the FTB, the EDD & the SBOE
publications which cover almost every imaginable tax related personal and
occupational situation.
IN-DEPTH REVIEW
Once your interview forms have
been completed, they then are reviewed both for mathematical accuracy and
for the proper of tax theory, as it applies to you. Nothing is taken for
granted. We take pride in our work and demand total accuracy in each phase
of the preparation of your return.
COMPUTER
PROCESSING
Next, your return is processed
through a state-of-the-art computer system designed to provide another total
review. Not only are the mathematical calculations checked automatically,
but a process is initiated that assures you the lowest possible tax
computation allowable for your return. The computer then prints the
completed information on the required federal and state forms. Your return
is assembled in quadruplicate-one set for your federal filing, one set for
your state filing (if required), one for your own file and the set for A &
Rís confidential file, available if yours ever is misplaced or destroyed.
A FINAL
REVIEW
After the computer processing,
your return is checked one more time-prior to the preparer signing it-to
assure that we have produced a tax return that reflects the lowest tax to
which you are entitled-arithmetically correct, technically correct.
 Our long-term clients take this quality for granted.
We offer the industryís finest
service, available year-round to all clients. This means that you have the
peace of mind of knowing that you have received every tax advantage legally
available to you. And you know that these tax advantages have been included
in a tax return that has been checked not once, not twice, but triple
checked for your protection. And you know that your A & R professional
will be available to you for tax counseling year-round, whenever you need
him or her, and at no extra cost.
Your tax peace of mind is a vital
part of the A & R difference.
|


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
A SearchSpec contains the query parameters and some global search modifiers.
Properties
| Name | Type | Description |
|---|---|---|
| details* | FileQueryFlags |
This object comprises a set of booleans that describe what details to return
for each file. The file level details apply globally to all matched files.
|
| matchPattern* | xsd:string[] |
Specifies a list of file patterns that must match for a file to be returned.
This search property is a filter that applies globally so that only files
matching the specified patterns are returned, regardless of the other search
parameters.
|
| query* | FileQuery[] |
The set of file types to match, search criteria specific to the file type, and
the amount of detail for a file. These search parameters are specific to a file
type, meaning that they can be specified only if the file type to which they
are associated is in the set. A file type cannot appear more than once in the
set.
If this query object is not present, then all files providing only file level
details are matched.
|
| searchCaseInsensitive* | xsd:boolean |
This flag indicates whether or not to search using a case insensitive match on
type. In general the algorithm used to match file types relies on file
extensions. Although the specific file extensions used are encapsulated by this
API, clients are still allowed to modify the filtering behavior.
By default, the DatastoreBrowser uses a platform-consistent algorithm to determine if a file is of a type. Specifically on Linux, where case is important, the search is case sensitive. On Windows, case is not important, so the search is case insensitive.
In an environment with heterogenous platforms, being platform-consistent may
not be desirable. As a result, the default behavior can be overridden by
setting this optional flag.
|
| sortFoldersFirst* | xsd:boolean |
By default, files are sorted in alphabetical order regardless of file type. If
this flag is set to "true", folders are placed at the start of the list of
results in alphabetical order. The remaining files follow in alphabetical
order.
|
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


[page:Object3D] →
[name]
Base class for Mesh objects, such as [page:MorphAnimMesh] and [page:SkinnedMesh].
Constructor
[name]( [page:Geometry geometry], [page:Material material] )
geometry — An instance of [page:Geometry].
material — An instance of [page:Material] (optional).
Properties
.[page:Geometry geometry]
An instance of [page:Geometry], defining the object's structure.
.[page:Material material]
An instance of [page:Material], defining the object's appearance. Default is a [page:MeshBasicMaterial] with wireframe mode enabled and randomised colour.
Methods
.getMorphTargetIndexByName( [page:String name] )
name — a morph target name
Returns the index of a morph target defined by name.
Source
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


Open Source at the National Bank of Belgium
Why the National Bank of Belgium cares about open source.
A bit of history
At the NBB, we have been using open source software for a very long time. Unfortunately, for a very long time, nothing had been made official regarding contribution to the open source movement. This severily hindered the capability of the NBB staff to contribute actively to open source projects and prevented us from publishing open source projects.
In 2016 though, we have convinced the necessary stakeholders (software development head, IT department head, legal department, IT security team) as well as the board of directors to allow us to start contributing more actively and officially to the open source community.
This initiative now allows us to officially contribute to existing open source projects during work hours, but also to publish documents, libraries and tools under open source licenses, which is a great step towards more openness and sharing with the software development community.
From the moment we have received the approval of the board, we have started preparing to publish internal tools, libraries and reference documents in the open. Of course, this takes time.. We cannot just publish everything at once without preparation: there’s documentation to gather/reorganize/improve, as well as internal details to get rid of, code cleanup to do, …
Github
To support this initiative, we have chosen to use GitHub to host our repositories. You can find us over here: https://github.com/NationalBankBelgium
Licenses
With the guidance of our legal department, we have decided to use the following open source licenses: * MIT * European Public License (EUPL)
Our main goal with these choices was to use the most liberal licenses possible so as to allow as many people and organizations as possible to benefit from our contributions to the community.
First projects
The very first project that we have published around 2016 was our RESTful API Design Guide which regroups all the guidelines that we provide to our software developers working on RESTful APIs. Those guidelines help us avoid reinventing the wheel with every project and align across technology stacks.
In 2018, we have started working on an open source version of Stark, our Angular-based front-end framework based on Angular 6+. It is currently in alpha state, but a first stable release should be available later this year. Stark supports enterprise scenarios, a reusable build system and multiple user interface components for business applications (e.g., an advanced data grid with multi-column sorting & filtering, …).
More recently, we’ve forked and started improving an existing servlet filter adding support for Content Security Policies. We want to publish a version that fully supports CSP Level 3 and make it available for all on Maven central.
Our next milestone is to prepare the publication of our Java framework out in the open, but we aren’t there yet.
Discover more about these projects in upcoming posts!


--- layout: default title: ICNB'16 - Important Dates ---
The important dates and deadlines for the International Conference on Nanobiotechnology (ICNB'16) are as follows:
| Conference Dates |
| April 1 - 2, 2016 |
| Paper Submission Deadline |
| December 10, 2015 |
| Notification of Authors |
| January 25, 2016 |
| Camera Ready Submission Deadline |
| February 20, 2016 |
| Registration Deadline |
| Early Bird Registration February 1, 2016 |
| Regular Registration* February 25, 2016 |
| Late Registration After February 25, 2016 |
| Conference Dates | April 1 - 2, 2016 |
| Paper Submission Deadline | December 10, 2015 |
| Notification of Authors | January 25, 2016 |
| Camera Ready Submission Deadline | February 20, 2016 |
| Registration Deadline | Early Bird Registration February 1, 2016 |
|---|---|
| Regular Registration* February 25, 2016 |
|
| Late Registration After February 25, 2016 |
*This is the deadline for the registration of Authors


---
layout: default
---
Assignment: Current Events Dataviz Research
Assignment: Current Events Dataviz Research
This assignment is about getting a feel for data visualization projects in general, and how data visualization can be applied in real-world scenarios.
You are to look through the news, Twitter #dataviz, whichever timely sources you prefer, and find a data visualization that meets the following criteria:
- Relates to current events.
- Published less than 2 months ago.
- Links to the original source of the data
- To clarify: the visualization page needs to have a data source citation that is a hyperlink into a Web page for the data source, so that if you wanted to dig deeper and get at the actual data, you could. Text citations that are not links, like "National Weather Service" or "US Census", are not good enough.
- Different from other student submissions.
Once you've found it, please do the following:
- Write up a brief (a few sentences) description of the visualization and the data it shows.
- Post a screenshot of it in Slack (#general channel) including a link and your brief description.
- In Canvas, submit text with the URL of the visualization and also your brief description.


Icon image to use for this link. Can be a plain filename of an image in Jenkins'
images/24x24 directory (such as help, document
or refresh), or /userContent/imageFileName.ext for a custom icon
placed in the JENKINS_HOME/userContent directory or uploaded using the
form below.
List of available images.


Find my version of the actual Sheet in action @
https://orbitalbliss.github.io/dnd5e-quickref/quickref.html
Or the Brief version of the sheet (good for new players) in action @
https://orbitalbliss.github.io/dnd5e-quickref/quickref_brief.html
You can find the original project by Crobi here: https://github.com/crobi/dnd5e-quickref
Which was forked by niblexis here: https://github.com/niblexis/dnd5e-quickref
Which was forked by brunowowk here: https://github.com/brunowowk/dnd5e-quickref
If you want to contribute to my version... come here: https://github.com/OrbitalBliss/dnd5e-quickref
All icons are provided by http://game-icons.net/


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Presentation
lil interaction language
lil is a domain specific language for Human Machine Interfaces specification, originally developped by Vincent Lecrubier during his Ph.D. at ONERA, ISAE and UPS Toulouse with the help of his tutors Bruno d'Ausbourg (ONERA) and Yamine Aït-Ameur (ENSEEIHT).
lil aims at enabling the following :
- specification of abstract human-machine interfaces
- collaboration of different stakeholders on the same specification document
- design of safety-critical human-machine interfaces
- ensuring non ambiguous formal specification of human-machine interfaces
lil standard framework
lil framework is a baseline framework designed to implement the lil specification canonically It aims at enabling the following :
- code generation for prototyping
- code generation of runtime backbone
- model checking of interaction properties
- model checking of performance properties
- IDE integration with syntax coloring, content assist, validation
- Integration with ARINC 661
Implementation
lil is specified in xtext. So far, due to the xtext architecture, the interaction language specification and the standard framework code are quite intricated, but here is the important:


Provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both non linear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the 'econet' package are illustrated using data from Battaglini and Patacchini (2018), which examine the determinants of US campaign contributions when legislators care about the behavior of other legislators to whom they are socially connected. For additional details, see the vignette.
| Version: | 0.1.81 |
| Depends: | R (≥ 3.5.0) |
| Imports: | bbmle, igraph, intergraph, Matrix, MASS, minpack.lm, sna, spatstat.utils, stats, tnet, utils, plyr, dplyr |
| Suggests: | testthat, R.rsp |
| Published: | 2018-11-08 |
| Author: | Marco Battaglini [aut], Valerio Leone Sciabolazza [aut, cre], Eleonora Patacchini [aut], Sida Peng [aut] |
| Maintainer: | Valerio Leone Sciabolazza <valerio.leonesciabolazza at uniparthenope.it> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | econet results |
| Reference manual: | econet.pdf |
| Vignettes: |
Using Yadayada |
| Package source: | econet_0.1.81.tar.gz |
| Windows binaries: | r-devel: econet_0.1.81.zip, r-release: econet_0.1.81.zip, r-oldrel: not available |
| OS X binaries: | r-release: econet_0.1.81.tgz, r-oldrel: not available |
| Old sources: | econet archive |
Please use the canonical form https://CRAN.R-project.org/package=econet to link to this page.


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Collection
Resources to help teachers and careers advisers offer information, advice and guidance to young people, about apprenticeships.
Have you considered inviting an employer or an apprentice to speak to your students about their future careers?
The apprenticeship support and knowledge for schools (ASK) project will deliver apprenticeship and traineeship information to young people in years 10, 11, 12 and 13. The project is funded by the Skills Funding Agency and National Apprenticeship Service and will offer young people in England the skills they need to get on in work.
For further information or to request a speaker, please visit Amazing Apprenticeships and submit a request form.
The amazing apprenticeship website contains free resources such as films and webinars for schools as well as information for school governors such as a guide to help them understand their role in promoting apprenticeships .
There are a number of informative films on the apprenticeship YouTube channel , including a series of sector in the spotlight films, which promote apprenticeships in key industry sectors (construction, manufacturing, IT, care, creative, finance, and professional services).


public interface EntityBean extends Serializable
This interface and implementation of these methods is added to Entity Beans via instrumentation. These methods have a funny _ebean_ prefix to avoid any clash with normal methods these beans would have. These methods are not for general application consumption.
| Modifier and Type | Method and Description |
|---|---|
Object |
_ebean_getField(int fieldIndex)
Return the value of a field from an entity bean of this type.
|
Object |
_ebean_getFieldIntercept(int fieldIndex)
Return the field value with interception.
|
EntityBeanIntercept |
_ebean_getIntercept()
Return the intercept for this object.
|
String |
_ebean_getMarker()
Return the enhancement marker value.
|
String |
_ebean_getPropertyName(int pos)
Return the property name at the given position.
|
String[] |
_ebean_getPropertyNames()
Return all the property names in defined order.
|
EntityBeanIntercept |
_ebean_intercept()
Similar to _ebean_getIntercept() except it checks to see if the intercept
field is null and will create it if required.
|
boolean |
_ebean_isEmbeddedNewOrDirty()
Return true if any embedded beans are new or dirty.
|
Object |
_ebean_newInstance()
Create and return a new entity bean instance.
|
void |
_ebean_setEmbeddedLoaded()
Generated method that sets the loaded state on all the embedded beans on
this entity bean by using EntityBeanIntercept.setEmbeddedLoaded(Object o);
|
void |
_ebean_setField(int fieldIndex,
Object value)
Set the value of a field of an entity bean of this type.
|
void |
_ebean_setFieldIntercept(int fieldIndex,
Object value)
Set the field value with interception.
|
String[] _ebean_getPropertyNames()
String _ebean_getPropertyName(int pos)
String _ebean_getMarker()
This is the class name of the enhanced class and used to check that all entity classes are enhanced (specifically not just a super class).
Object _ebean_newInstance()
void _ebean_setEmbeddedLoaded()
boolean _ebean_isEmbeddedNewOrDirty()
EntityBeanIntercept _ebean_getIntercept()
EntityBeanIntercept _ebean_intercept()
This is really only required when transientInternalFields=true as an enhancement option. In this case the intercept field is transient and will be null after a bean has been deserialised.
This transientInternalFields=true option was to support some serialization frameworks that can't take into account our ebean fields.
void _ebean_setField(int fieldIndex, Object value)
Note that using this method bypasses any interception that otherwise occurs on entity beans. That means lazy loading and oldValues creation.
void _ebean_setFieldIntercept(int fieldIndex, Object value)
Object _ebean_getField(int fieldIndex)
Note that using this method bypasses any interception that otherwise occurs on entity beans. That means lazy loading.
Object _ebean_getFieldIntercept(int fieldIndex)
Copyright © 2019. All rights reserved.


#include <finnish_stem.h>
Public Member Functions | |
| void | operator() (string_typeT &text) |
Private Member Functions | |
| void | step_1 (string_typeT &text) |
| void | step_2 (string_typeT &text) |
| void | step_3 (string_typeT &text) |
| void | step_4 (string_typeT &text) |
| void | step_5 (string_typeT &text) |
| void | step_6 (string_typeT &text) |
| void | step_6a (string_typeT &text) |
| void | step_6b (string_typeT &text) |
| void | step_6c (string_typeT &text) |
| void | step_6d (string_typeT &text) |
| void | step_6e (string_typeT &text) |
| void stemming::finnish_stem< string_typeT >::operator() | ( | string_typeT & | text | ) | [inline] |
| text | string to stem |
| void stemming::finnish_stem< string_typeT >::step_1 | ( | string_typeT & | text | ) | [inline, private] |
Step 1: particles etc.
Search for the longest among the following suffixes in R1, and perform the action indicated:
- kin kaan kään ko kö han hän pa pä
- delete if preceded by n, t or a vowel
- sti
- delete if in R2
(Of course, the n, t or vowel of 1(a) need not be in R1:
only the suffix removed must be in R1. And similarly below
| void stemming::finnish_stem< string_typeT >::step_2 | ( | string_typeT & | text | ) | [inline, private] |
Step 2: possessives
Search for the longest among the following suffixes in R1, and perform the action indicated:
- si
- delete if not preceded by k
- ni
- delete
- if preceded by kse, replace with ksi
- nsa nsä mme nne
- delete
- an
- delete if preceded by one of ta ssa sta lla lta na
- än
- delete if preceded by one of tä ssä stä llä ltä nä
- en
- delete if preceded by one of lle ine
| void stemming::finnish_stem< string_typeT >::step_3 | ( | string_typeT & | text | ) | [inline, private] |
//////////////////////////////////////////////////////////////////////////////////////////////
Define a v (vowel) as one of a e i o u y ä ö.
Define a V (restricted vowel) as one of a e i o u ä ö.
So Vi means a V followed by letter i.
Define LV (long vowel) as one of aa ee ii oo uu ää öö.
Define a c (consonant) as a character other than a v.
So cv means a c followed by a v.
//////////////////////////////////////////////////////////////////////////////////////////////
Step 3: cases
Search for the longest among the following suffixes in R1, and perform the action indicated:
- hXn preceded by X, where X is a V other than u (a/han, e/hen etc)
- siin den tten preceded by Vi
- seen preceded by LV
- a ä preceded by cv
- tta ttä preceded by e
- ta tä ssa ssä sta stä lla llä lta ltä lle na nä ksi ine
- delete
- n
- delete, and if preceded by LV or ie, delete the last vowel
| void stemming::finnish_stem< string_typeT >::step_4 | ( | string_typeT & | text | ) | [inline, private] |
Step 4: other endings
Search for the longest among the following suffixes in R2, and perform the action indicated
- mpi mpa mpä mmi mma mmä
- delete if not preceded by po
- impi impa impä immi imma immä eja ejä
- delete
| void stemming::finnish_stem< string_typeT >::step_5 | ( | string_typeT & | text | ) | [inline, private] |
Step 5: plurals
If an ending was removed in step 3, delete a final i or j if in R1;
otherwise, if an ending was not removed in step 3,
then delete the final t in R1 if it follows a vowel, and, if a t is removed,
then delete a final mma or imma in R2, unless the mma is preceded by po.
| void stemming::finnish_stem< string_typeT >::step_6 | ( | string_typeT & | text | ) | [inline, private] |
Step 6: tidying up Perform turn steps (a), (b), (c), (d), restricting all tests to the R1 region.
| void stemming::finnish_stem< string_typeT >::step_6a | ( | string_typeT & | text | ) | [inline, private] |
Step a) If R1 ends with LV then delete the last letter.
| void stemming::finnish_stem< string_typeT >::step_6b | ( | string_typeT & | text | ) | [inline, private] |
Step b) If R1 ends with cX, c a consonant and X one of:
a ä e i
then delete the last letter.
| void stemming::finnish_stem< string_typeT >::step_6c | ( | string_typeT & | text | ) | [inline, private] |
Step c) If R1 ends with oj or uj then delete the last letter.
| void stemming::finnish_stem< string_typeT >::step_6d | ( | string_typeT & | text | ) | [inline, private] |
Step d) If R1 ends with jo then delete the last letter.
| void stemming::finnish_stem< string_typeT >::step_6e | ( | string_typeT & | text | ) | [inline, private] |
Do step (e), which is not restricted to R1.
Step e) If the word ends with a double consonant followed by zero or more vowels,
then remove the last consonant (so eläkk -> eläk, aatonaatto -> aatonaato)


Unlimited Games. How should Red play 65?
pips Red=167 White=158
(CorrectAnswer= 0/0, ErrorScore= 0)
This is very close. The play to avoid is 23/18*, 13/7 which strips the mid-point of its last spare, exposes another blot and gives White a good six from the bar.
After that it is a close call between making the 3-pt and two other plays, 23/18*, 9/3 (not a play I considered) and 23/1*, 21/15.
XG has 23/18*, 9/3 as the winner by a short head and 23/18, 21/15 in second place but all the plays are very close once you avoid 23/18*, 13/7.
After that it is a close call between making the 3-pt and two other plays, 23/18*, 9/3 (not a play I considered) and 23/1*, 21/15.
XG has 23/18*, 9/3 as the winner by a short head and 23/18, 21/15 in second place but all the plays are very close once you avoid 23/18*, 13/7.
1. Cubeful 2-ply 23/18* 21/15 Eq.: +0.034 0.512 0.142 0.008 - 0.488 0.137 0.008 2. Cubeful 2-ply 23/18* 9/3 Eq.: -0.001 (-0.035) 0.496 0.129 0.007 - 0.504 0.119 0.004 3. Cubeful 2-ply 23/18* 13/7 Eq.: -0.023 (-0.057) 0.488 0.138 0.008 - 0.512 0.129 0.005 4. Cubeful 2-ply 9/3 8/3 Eq.: -0.025 (-0.060) 0.484 0.133 0.005 - 0.516 0.110 0.003 5. Cubeful 2-ply 23/18* 8/2 Eq.: -0.111 (-0.145) 0.468 0.126 0.007 - 0.532 0.146 0.006


Class: DATSauce::Test
- Inherits:
-
Object
- Object
- DATSauce::Test
- Extended by:
- CustomAccessor
- Defined in:
- lib/dat_sauce/test.rb
Instance Method Summary (collapse)
-
- (Test) initialize(run_id, name, test_options)
constructor
A new instance of Test.
-
- (Object) run
run the test.
-
- (Hash<Symbol, String>) to_hash
convert the test object properties to a hash.
-
- (String) to_json
convert the test object properties into a json string.
-
- (Object) to_s(log = false)
output the properties of the test object as a string to the console.
Methods included from CustomAccessor
Constructor Details
- (Test) initialize(run_id, name, test_options)
Returns a new instance of Test
14 15 16 17 18 19 20 21 |
# File 'lib/dat_sauce/test.rb', line 14 def initialize(run_id, name, ) @run_id = run_id @run_count = 0 @name = name @test_options = @status = "In Queue" @results = {:primary => nil, :rerun => nil} end |
Instance Method Details
- (Object) run
run the test
24 25 26 27 28 29 |
# File 'lib/dat_sauce/test.rb', line 24 def run @run_count += 1 @status = "Running" time = Time.now process_results(DATSauce::Cucumber::Runner.run_test(@name, @test_options, nil), time) end |
- (Hash<Symbol, String>) to_hash
convert the test object properties to a hash
38 39 40 41 42 43 44 |
# File 'lib/dat_sauce/test.rb', line 38 def to_hash obj = {} Test.attrs.each do |attr| #need to fix this. this looks at the Test class specifically and not whatever child class called it obj[attr] = send(attr) end obj end |
- (String) to_json
convert the test object properties into a json string
48 49 50 |
# File 'lib/dat_sauce/test.rb', line 48 def to_json JSON.generate to_hash end |
- (Object) to_s(log = false)
output the properties of the test object as a string to the console
54 55 56 57 58 59 60 |
# File 'lib/dat_sauce/test.rb', line 54 def to_s(log = false) str = '' Test.attrs.each do |attr| #need to fix this. this looks at the Test class specifically and not whatever child class called it str << "#{attr}: #{send(attr)}\n" unless attr == :log && !log end $stdout << str end |


Shaving the Mitch
Oh, the other thing I did this weekend (Sunday actually) was shave Mitch. He was pretty patient considering. For such a neurotic dog he was great.
(He likes to be hand fed, he likes to drink his water from my water glasses - fortunately I haven't taken a drink from a glass that he's had already, yet and as far as I know- the list goes on.)
I got his body, but not his head, and some of it looks hacked, as I was trying to take the volume off and then trim the bottom later to make it easier on him, but he looked like he'd had enough.
About this entry
You"re currently reading "Shaving the Mitch," an entry on a crick in the net
- Published:
- 09.13.04 / 12pm
- Category:
- Circular File


emnlp emnlp2012 emnlp2012-6 emnlp2012-6-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Stefano Faralli ; Roberto Navigli
Abstract: We present a new minimally-supervised framework for performing domain-driven Word Sense Disambiguation (WSD). Glossaries for several domains are iteratively acquired from the Web by means of a bootstrapping technique. The acquired glosses are then used as the sense inventory for fullyunsupervised domain WSD. Our experiments, on new and gold-standard datasets, show that our wide-coverage framework enables highperformance results on dozens of domains at a coarse and fine-grained level.


NAFED issues international tender to buy, import 100,000 tonnes of corn
The tender closes on Dec. 3 with offers having to remain valid up to Dec. 24.
by ReutersIndian group NAFED has issued an international tender to purchase and import up to 100,000 tonnes of corn (maize), European traders said on Wednesday.
The corn should be sourced from Ukraine, they said.
The tender closes on Dec. 3 with offers having to remain valid up to Dec. 24.
NAFED, the National Agricultural Cooperative Marketing Federation of India, is seeking corn free of genetically-modified organisms (GMOs), they said.
Shipment is sought in 2020 between Jan. 10 and Jan. 31. Some 50,000 tonnes is sought for shipment to the port of Mangalore and 50,000 tonnes to the port of Tuticorin.
Offers are sought on c&f free out terms which include some ship unloading costs.
Indian buyers had issued a series of corn import tenders earlier this year, but import demand from the country has been generally quiet since the last reported tender in August, one trader said.


Optimize Deps
CommonJS w/ named imports (react)
CommonJS dynamic import (react)
Dedupe (dep in linked & optimized package)
CommonJS w/ browser field mapping (axios)
This should show ping:
Detecting linked src package and optimizing its deps (lodash-es)
This should show fooBarBaz:
Optimizing force included dep even when it's linked


I was born in San Francisco in 1992. Since then I've been drawing and making stuff using whatever tools I can find. Lately programming has been particularly important to me.
I have worked at lots of companies. Hedge funds, social media companies, SaaS companies, television studios, public companies, private companies, billion dollar companies, startups that can't afford heat, all sorts of things.
My other interests include boomerang throwing, kite surfing and being a terrible musician. I am also teaching myself to read ancient Egyptian hieroglyphs. Lately I have also been getting into rocketry and weather balloon launches. Three things I couldn't live without are coffee, art, and my mac :)
I am currently on an extended sojourn in Cleveland, Ohio.
RUSTY
DECENT
SAVVY
NINJA
RUSTY
DECENT
SAVVY
NINJA


|
ECS160Android
FortNitta Android platform team
|
Mode which draws a map. More...
Public Member Functions | |
| void | dispose () |
| void | Update (CGame game) |
| Same as base class. More... | |
| void | Draw (CGame game) |
| Draws animations and cannonballs. More... | |
| Public Member Functions inherited from game.modes.CGameMode | |
| void | Enter (CGame game) |
| Resets the timer. More... | |
| void | Update (CGame game) |
| Updates the players, cannonballs, animations, and timer. More... | |
| void | Draw (CGame game) |
| Draws the timer. More... | |
| void | Leave (CGame game) |
| Does nothing. More... | |
| void | WillEnter (CGame game) |
| Does nothing. More... | |
Protected Member Functions | |
| final void | Draw2D (CGame game) |
| Draws the terrain and construction maps in 2D. More... | |
| final void | Draw3D (CGame game) |
| Draws the terrain and construction maps in 3D. More... | |
| Protected Member Functions inherited from game.modes.CGameMode | |
| final void | DrawAnimations (CGame game, Vector2 position) |
| Draws the animations. More... | |
| final void | DrawCannonballs (CGame game, Vector2 position) |
| Draws the cannonballs. More... | |
| final void | DrawTextBackgroundFrame (CGame game, Vector2 size) |
| Draws the floor tiles of main player to cover the specified area. More... | |
| final void | DrawBrickFrame (CGame game, Vector2 position, Vector2 size) |
| Draws the brick border for text. More... | |
| final void | DrawMortar (CGame game, Vector2 position, Vector2 size) |
| Draws the mortar for text. More... | |
| final void | DrawBrickOutline (CGame game, Vector2 position, Vector2 size) |
| Draws the outline on the brick for border. More... | |
| final void | DrawTargetCursors (CGame game) |
| Draws the player cursors using the target tileset. More... | |
Mode which draws a map.
| void game.modes.CMapMode.Draw | ( | CGame | game | ) |
Draws animations and cannonballs.
| game | Game drawing |
|
protected |
Draws the terrain and construction maps in 2D.
| game | Game drawing |
|
protected |
Draws the terrain and construction maps in 3D.
| game | Game drawing |
| void game.modes.CMapMode.Update | ( | CGame | game | ) |
Same as base class.
| game | Game updating |


{{ share_url }}
You can share this artifact with other Chameleon projects. Any
member of those projects will then be able to view the artifact.
{% bootstrap_form share_form show_label=False %}
You can publish any version of this artifact to
Zenodo,
which will assign a DOI (Digital Object Identifier), suitable for use
in academic citation. Use the "Request DOI" options for any versions
you wish to publish publicly in this way.
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Cancel
Clinical Notes
Diagnosis(ICD 10 code)
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Add ICD
Lab and Orders
Lab and Orders
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This is a fun meet up for poker players from beginner to advanced. Our first tournament will be in a couple weeks. No official date has been set yet but it is on its way!


How to sign up/join and make a site
Read thoroughly so you know what to do! If you need any help let us
know!
If you already know how to make a site and use GitHub/GitHub
Desktop, just read the first 3 lines.
Start an issue here
If you know other ways to contact us, such as on Escargot, you can use
that as well.
In the issue, ask to join, we will then invite you to collaborate on
the site
If you do not get the invite, reply to us on the issue and we will try
our best to help you!
Download GitHub Desktop if you want and login to the account you
started the issue with.
If you have Github Desktop, then click File and then clone the
repository once you accept the invite
Make a new folder in the subsites folder if using the website,
You will need to make a file along with the folder by putting the name
of your site and then "/" then type a name of your placeholder file, you
can delete it later.
if using Github Desktop, Make the folder in the clone of the
repository under the subsites folder. MAKE SURE YOU KNOW WHERE THE CLONE
IS SAVED
If you do not know how, please reply to your issue to request to join
or start a new one.
Then download an HTML editor or WYSIWYG editor of your choice and make
your site in the your cloned subsite folder!
Then commit your changes using GitHub Desktop and push to the
repository
If you chose to not use GitHub desktop, upload your files to the
folder you made in the subsites folder using the website.
Congratulations on making your new site, have fun and good luck!


Go to the source code of this file.
Macros | |
| #define | REG_TC2_CCR0 (*(__O uint32_t*)0x40014000U) |
| (TC2) Channel Control Register (channel = 0) More... | |
| #define | REG_TC2_CMR0 (*(__IO uint32_t*)0x40014004U) |
| (TC2) Channel Mode Register (channel = 0) More... | |
| #define | REG_TC2_SMMR0 (*(__IO uint32_t*)0x40014008U) |
| (TC2) Stepper Motor Mode Register (channel = 0) More... | |
| #define | REG_TC2_RAB0 (*(__I uint32_t*)0x4001400CU) |
| (TC2) Register AB (channel = 0) More... | |
| #define | REG_TC2_CV0 (*(__I uint32_t*)0x40014010U) |
| (TC2) Counter Value (channel = 0) More... | |
| #define | REG_TC2_RA0 (*(__IO uint32_t*)0x40014014U) |
| (TC2) Register A (channel = 0) More... | |
| #define | REG_TC2_RB0 (*(__IO uint32_t*)0x40014018U) |
| (TC2) Register B (channel = 0) More... | |
| #define | REG_TC2_RC0 (*(__IO uint32_t*)0x4001401CU) |
| (TC2) Register C (channel = 0) More... | |
| #define | REG_TC2_SR0 (*(__I uint32_t*)0x40014020U) |
| (TC2) Status Register (channel = 0) More... | |
| #define | REG_TC2_IER0 (*(__O uint32_t*)0x40014024U) |
| (TC2) Interrupt Enable Register (channel = 0) More... | |
| #define | REG_TC2_IDR0 (*(__O uint32_t*)0x40014028U) |
| (TC2) Interrupt Disable Register (channel = 0) More... | |
| #define | REG_TC2_IMR0 (*(__I uint32_t*)0x4001402CU) |
| (TC2) Interrupt Mask Register (channel = 0) More... | |
| #define | REG_TC2_EMR0 (*(__IO uint32_t*)0x40014030U) |
| (TC2) Extended Mode Register (channel = 0) More... | |
| #define | REG_TC2_CCR1 (*(__O uint32_t*)0x40014040U) |
| (TC2) Channel Control Register (channel = 1) More... | |
| #define | REG_TC2_CMR1 (*(__IO uint32_t*)0x40014044U) |
| (TC2) Channel Mode Register (channel = 1) More... | |
| #define | REG_TC2_SMMR1 (*(__IO uint32_t*)0x40014048U) |
| (TC2) Stepper Motor Mode Register (channel = 1) More... | |
| #define | REG_TC2_RAB1 (*(__I uint32_t*)0x4001404CU) |
| (TC2) Register AB (channel = 1) More... | |
| #define | REG_TC2_CV1 (*(__I uint32_t*)0x40014050U) |
| (TC2) Counter Value (channel = 1) More... | |
| #define | REG_TC2_RA1 (*(__IO uint32_t*)0x40014054U) |
| (TC2) Register A (channel = 1) More... | |
| #define | REG_TC2_RB1 (*(__IO uint32_t*)0x40014058U) |
| (TC2) Register B (channel = 1) More... | |
| #define | REG_TC2_RC1 (*(__IO uint32_t*)0x4001405CU) |
| (TC2) Register C (channel = 1) More... | |
| #define | REG_TC2_SR1 (*(__I uint32_t*)0x40014060U) |
| (TC2) Status Register (channel = 1) More... | |
| #define | REG_TC2_IER1 (*(__O uint32_t*)0x40014064U) |
| (TC2) Interrupt Enable Register (channel = 1) More... | |
| #define | REG_TC2_IDR1 (*(__O uint32_t*)0x40014068U) |
| (TC2) Interrupt Disable Register (channel = 1) More... | |
| #define | REG_TC2_IMR1 (*(__I uint32_t*)0x4001406CU) |
| (TC2) Interrupt Mask Register (channel = 1) More... | |
| #define | REG_TC2_EMR1 (*(__IO uint32_t*)0x40014070U) |
| (TC2) Extended Mode Register (channel = 1) More... | |
| #define | REG_TC2_CCR2 (*(__O uint32_t*)0x40014080U) |
| (TC2) Channel Control Register (channel = 2) More... | |
| #define | REG_TC2_CMR2 (*(__IO uint32_t*)0x40014084U) |
| (TC2) Channel Mode Register (channel = 2) More... | |
| #define | REG_TC2_SMMR2 (*(__IO uint32_t*)0x40014088U) |
| (TC2) Stepper Motor Mode Register (channel = 2) More... | |
| #define | REG_TC2_RAB2 (*(__I uint32_t*)0x4001408CU) |
| (TC2) Register AB (channel = 2) More... | |
| #define | REG_TC2_CV2 (*(__I uint32_t*)0x40014090U) |
| (TC2) Counter Value (channel = 2) More... | |
| #define | REG_TC2_RA2 (*(__IO uint32_t*)0x40014094U) |
| (TC2) Register A (channel = 2) More... | |
| #define | REG_TC2_RB2 (*(__IO uint32_t*)0x40014098U) |
| (TC2) Register B (channel = 2) More... | |
| #define | REG_TC2_RC2 (*(__IO uint32_t*)0x4001409CU) |
| (TC2) Register C (channel = 2) More... | |
| #define | REG_TC2_SR2 (*(__I uint32_t*)0x400140A0U) |
| (TC2) Status Register (channel = 2) More... | |
| #define | REG_TC2_IER2 (*(__O uint32_t*)0x400140A4U) |
| (TC2) Interrupt Enable Register (channel = 2) More... | |
| #define | REG_TC2_IDR2 (*(__O uint32_t*)0x400140A8U) |
| (TC2) Interrupt Disable Register (channel = 2) More... | |
| #define | REG_TC2_IMR2 (*(__I uint32_t*)0x400140ACU) |
| (TC2) Interrupt Mask Register (channel = 2) More... | |
| #define | REG_TC2_EMR2 (*(__IO uint32_t*)0x400140B0U) |
| (TC2) Extended Mode Register (channel = 2) More... | |
| #define | REG_TC2_BCR (*(__O uint32_t*)0x400140C0U) |
| (TC2) Block Control Register More... | |
| #define | REG_TC2_BMR (*(__IO uint32_t*)0x400140C4U) |
| (TC2) Block Mode Register More... | |
| #define | REG_TC2_QIER (*(__O uint32_t*)0x400140C8U) |
| (TC2) QDEC Interrupt Enable Register More... | |
| #define | REG_TC2_QIDR (*(__O uint32_t*)0x400140CCU) |
| (TC2) QDEC Interrupt Disable Register More... | |
| #define | REG_TC2_QIMR (*(__I uint32_t*)0x400140D0U) |
| (TC2) QDEC Interrupt Mask Register More... | |
| #define | REG_TC2_QISR (*(__I uint32_t*)0x400140D4U) |
| (TC2) QDEC Interrupt Status Register More... | |
| #define | REG_TC2_FMR (*(__IO uint32_t*)0x400140D8U) |
| (TC2) Fault Mode Register More... | |
| #define | REG_TC2_WPMR (*(__IO uint32_t*)0x400140E4U) |
| (TC2) Write Protection Mode Register More... | |
| #define | REG_TC2_VER (*(__I uint32_t*)0x400140FCU) |
| (TC2) Version Register More... | |
| #define REG_TC2_BCR (*(__O uint32_t*)0x400140C0U) |
(TC2) Block Control Register
| #define REG_TC2_BMR (*(__IO uint32_t*)0x400140C4U) |
(TC2) Block Mode Register
| #define REG_TC2_CCR0 (*(__O uint32_t*)0x40014000U) |
(TC2) Channel Control Register (channel = 0)
| #define REG_TC2_CCR1 (*(__O uint32_t*)0x40014040U) |
(TC2) Channel Control Register (channel = 1)
| #define REG_TC2_CCR2 (*(__O uint32_t*)0x40014080U) |
(TC2) Channel Control Register (channel = 2)
| #define REG_TC2_CMR0 (*(__IO uint32_t*)0x40014004U) |
(TC2) Channel Mode Register (channel = 0)
| #define REG_TC2_CMR1 (*(__IO uint32_t*)0x40014044U) |
(TC2) Channel Mode Register (channel = 1)
| #define REG_TC2_CMR2 (*(__IO uint32_t*)0x40014084U) |
(TC2) Channel Mode Register (channel = 2)
| #define REG_TC2_CV0 (*(__I uint32_t*)0x40014010U) |
(TC2) Counter Value (channel = 0)
| #define REG_TC2_CV1 (*(__I uint32_t*)0x40014050U) |
(TC2) Counter Value (channel = 1)
| #define REG_TC2_CV2 (*(__I uint32_t*)0x40014090U) |
(TC2) Counter Value (channel = 2)
| #define REG_TC2_EMR0 (*(__IO uint32_t*)0x40014030U) |
(TC2) Extended Mode Register (channel = 0)
| #define REG_TC2_EMR1 (*(__IO uint32_t*)0x40014070U) |
(TC2) Extended Mode Register (channel = 1)
| #define REG_TC2_EMR2 (*(__IO uint32_t*)0x400140B0U) |
(TC2) Extended Mode Register (channel = 2)
| #define REG_TC2_FMR (*(__IO uint32_t*)0x400140D8U) |
(TC2) Fault Mode Register
| #define REG_TC2_IDR0 (*(__O uint32_t*)0x40014028U) |
(TC2) Interrupt Disable Register (channel = 0)
| #define REG_TC2_IDR1 (*(__O uint32_t*)0x40014068U) |
(TC2) Interrupt Disable Register (channel = 1)
| #define REG_TC2_IDR2 (*(__O uint32_t*)0x400140A8U) |
(TC2) Interrupt Disable Register (channel = 2)
| #define REG_TC2_IER0 (*(__O uint32_t*)0x40014024U) |
(TC2) Interrupt Enable Register (channel = 0)
| #define REG_TC2_IER1 (*(__O uint32_t*)0x40014064U) |
(TC2) Interrupt Enable Register (channel = 1)
| #define REG_TC2_IER2 (*(__O uint32_t*)0x400140A4U) |
(TC2) Interrupt Enable Register (channel = 2)
| #define REG_TC2_IMR0 (*(__I uint32_t*)0x4001402CU) |
(TC2) Interrupt Mask Register (channel = 0)
| #define REG_TC2_IMR1 (*(__I uint32_t*)0x4001406CU) |
(TC2) Interrupt Mask Register (channel = 1)
| #define REG_TC2_IMR2 (*(__I uint32_t*)0x400140ACU) |
(TC2) Interrupt Mask Register (channel = 2)
| #define REG_TC2_QIDR (*(__O uint32_t*)0x400140CCU) |
(TC2) QDEC Interrupt Disable Register
| #define REG_TC2_QIER (*(__O uint32_t*)0x400140C8U) |
(TC2) QDEC Interrupt Enable Register
| #define REG_TC2_QIMR (*(__I uint32_t*)0x400140D0U) |
(TC2) QDEC Interrupt Mask Register
| #define REG_TC2_QISR (*(__I uint32_t*)0x400140D4U) |
(TC2) QDEC Interrupt Status Register
| #define REG_TC2_RA0 (*(__IO uint32_t*)0x40014014U) |
(TC2) Register A (channel = 0)
| #define REG_TC2_RA1 (*(__IO uint32_t*)0x40014054U) |
(TC2) Register A (channel = 1)
| #define REG_TC2_RA2 (*(__IO uint32_t*)0x40014094U) |
(TC2) Register A (channel = 2)
| #define REG_TC2_RAB0 (*(__I uint32_t*)0x4001400CU) |
(TC2) Register AB (channel = 0)
| #define REG_TC2_RAB1 (*(__I uint32_t*)0x4001404CU) |
(TC2) Register AB (channel = 1)
| #define REG_TC2_RAB2 (*(__I uint32_t*)0x4001408CU) |
(TC2) Register AB (channel = 2)
| #define REG_TC2_RB0 (*(__IO uint32_t*)0x40014018U) |
(TC2) Register B (channel = 0)
| #define REG_TC2_RB1 (*(__IO uint32_t*)0x40014058U) |
(TC2) Register B (channel = 1)
| #define REG_TC2_RB2 (*(__IO uint32_t*)0x40014098U) |
(TC2) Register B (channel = 2)
| #define REG_TC2_RC0 (*(__IO uint32_t*)0x4001401CU) |
(TC2) Register C (channel = 0)
| #define REG_TC2_RC1 (*(__IO uint32_t*)0x4001405CU) |
(TC2) Register C (channel = 1)
| #define REG_TC2_RC2 (*(__IO uint32_t*)0x4001409CU) |
(TC2) Register C (channel = 2)
| #define REG_TC2_SMMR0 (*(__IO uint32_t*)0x40014008U) |
(TC2) Stepper Motor Mode Register (channel = 0)
| #define REG_TC2_SMMR1 (*(__IO uint32_t*)0x40014048U) |
(TC2) Stepper Motor Mode Register (channel = 1)
| #define REG_TC2_SMMR2 (*(__IO uint32_t*)0x40014088U) |
(TC2) Stepper Motor Mode Register (channel = 2)
| #define REG_TC2_SR0 (*(__I uint32_t*)0x40014020U) |
(TC2) Status Register (channel = 0)
| #define REG_TC2_SR1 (*(__I uint32_t*)0x40014060U) |
(TC2) Status Register (channel = 1)
| #define REG_TC2_SR2 (*(__I uint32_t*)0x400140A0U) |
(TC2) Status Register (channel = 2)
| #define REG_TC2_VER (*(__I uint32_t*)0x400140FCU) |
(TC2) Version Register
| #define REG_TC2_WPMR (*(__IO uint32_t*)0x400140E4U) |
(TC2) Write Protection Mode Register


The Spring Cloud Config Server provides an HTTP resource-based API for external yaml configuration for all the Spring Petclinic microservices


Track Anything
Analyze Everything
From Apps and Servers to IoT and Stock Markets
Multi-dimensional, real-time, historic, and predictive analytics.
Stream & Retain
Stream data from any source, choose the appropriate retention period, and data locality. Choose who to share your data with.
Filter Your Reports
Create reports with specific rules, enrich reports by converting IPs to geographical data, break down URLs and client information.
Group Data
Go beyond grouping data by time, city or user ID. Qoncrete is unique in its support for grouping by multiple attributes and giving a breadcrumb-style view.
Count and Calculate
Count unique values, calculate averages, sums, geometric functions and more. Use math calculations between those numbers.
Workspaces
Create or use premade workspaces to instantly create reports and dashboards for common scenarios like mobile apps, websites, A/B testing, and more.
Combine and Compare
Join reports from different accounts and sources into a single display. Instantly compare to previous time periods.
Sort and Filter
Sort and filter your reports in real time
Dashboard
Easily create cutsom dashboards for quick overview or use our templates. Need private Google Analytics? Mix-panel? Easy.
API
Enable your application to make programmatic data-driven decisions - everything listed here and more is available through our API.
Charts, Boxes, Funnels, and more
Modify your report display until you're satisfied, save your query -- share it with the team or display it on a big screen at the office.


What is the sum of this polygon's interior angles?
Does it help to remember that there are 180 degrees in a triangle?
We can use four of the cardinal( SIDES ) sides to make 2 triangles, as shown in orange.
There plural( "is", SIDES - 4 ) plural( SIDES - 4, "side" ) between the orange triangles, to make SIDES - 4 additional plural( "triangle", SIDES - 4 ).
We chopped this polygon into a total of SIDES - 2 triangles, and each triangle's angles sum to 180 degrees.
SIDES - 2 \times 180^{\circ} = ANSWER^{\circ}
The sum of the polygon's interior angles is ANSWER degrees.


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Doneto - Samples
Lists
Ordered List
Here is an Ordered List
with the top 3 songs from Kenny Loggins
- Danger Zone
- Footlose
- I'm Alright
Ordered List
And here is an Unordered List
some Batman's villains
- The Joker
- Bane
- The Penguin
- Two-Face
- The Riddler
Ordered List
An awesome Description List
:
- Night Wing
- Dick Grayson
- Redhood
- Jason Todd
- Red Robin
- Tim Drake
- Robin
- Damian Wayne


National University to remove names of anti-liberation figures from five colleges
by bdnews24.comThe National University is set to rename five of its affiliated colleges that were named after anti-liberation figures.
The university has already changed the name of one of the colleges -- Rangamati's Rabeta Model College -- to Langdu Model College.
The authority is working to finalise the names of the others, it said on Thursday.
It comes a year after the National University authority decided to identify and rename colleges named after people who opposed the Liberation War of Bangladesh.


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helpRight now 400,000 (and counting) human beings are forced to flee their homes seeking refuge. List of ways to help the Afghani people.
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or just download an archive of my old portfolio.
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canid
- the caching additional network information daemon
canid
[-file cachefile] [-expiry sec] [-concurrency n] [-port port]
Canid provides a simple web service for caching and simplifying information retrieved from other services (see BACKENDS) about Internet hostnames and IP addresses. It is designed for use when looking up many addresses and/
On launch, Canid begins serving on the specified port. It shuts down cleanly on SIGINT (^C on the console).
-file
cachefile (default: no backing store)
Use the given JSON file as a backing store for the cache.
Loads the cache from this file on startup, and saves it on termination.
-expiry
sec (default: 86400, 1 day)
Expire cache entries after sec seconds.
-concurrency
n (default: 16)
Allow at most n simultaneous pending requests per backend.
-port
port (default: 8043)
TCP port to listen on
Canid provides three resources via HTTP:
/
The root resource is an HTML page providing a simple web front-end to the service.
/prefix.json?addr=
Look up information about the prefix associated with an address, and
return it as a JSON object. This object presently contains a Prefix
key
with the routed prefix associated with the address, an ASN
key with a
BGP autonomous system number associated with the address, and a
CountryCode
key for an ISO 3166 country code associated with the
address.
/address.json?name=
Look up an Internet hostname via DNS, and return the IPv4 and IPv6
addresses associated with it as a JSON object. This object contains a
Name
key with the name looked up, and an Addresses
key containing an
array of IPv4 and/or IPv6 addresses as strings. Looking up an address for
a name will cause prefix information for all addresses found to be cached,
as well.
All JSON resources also contain a Cached
key, the time at which the data
entry was put into the cache in
[RFC3339][https://datatracker.ietf.org/doc/RFC3339] format.
The prefix.json
resource currently uses the Prefix Overview and Geolocation
API entry points from [RIPEstat][https://stat.ripe.net].
The address.json
resource uses DNS, as provided by the Go standard library's
net.LookupIP()
(i.e., the system resolver)
Brian Trammell<EMAIL_ADDRESS>Copyright (c) 2016 - 2018 Brian Trammell
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Flo, Almasi, Destiny, Alex, Isis, and Zeba
click the button below to watch our video!!
WonderWomen
We are girls, therefore we have superpowers.
Act Like a Lady
For those who don't believe we can be bosses.
Girls stand Together
Together we have power.
Who better to thank than the women who made this all possible, the CEO of girls who code!! In her early years, Reshma was an American attorney and activist. She was the first indian-American woman to run for congress as a democratic candidate for New York City. In 2012, Reshma visited local schools and saw the gender gap in computing classes first hand which led her to creating girls who code, a non profit organization who works to encourge young girls to engage in the world of technology. If you want to learn more about our woman of the month or learn more about girls who code, feel free to watch the link below to learn how YOU can become a girl who codes!!.
VISION: to empower all women throught the world of technology.
You have the power to control the world.
Love one another.
your future is bright.
changing the world one code at a time .
you are certified to accomplish whatever your heart desires.
hard work and dedication is all it takes.


{{unreferenced|date=June 2011}} Paio is a traditional embutido sausage of Portugal and Brazil.
Paio is made of pork loin, seasoned with garlic, salt, and Capsicum pepper and smoked.
It is a hard sausage, usually made in a large diameter, and can be sliced and eaten on bread.
In Brazil it is a common ingredient of the bean stew feijoada .
{{Sausage}}


{bootstrap-css} {bootstrap-support-js}
Soyie Express
Welcome to use Soyie-cli to create this project.
As you see, it runs success.
To get more api on
github
.
Enjoy yourself !
{bootstrap-script}


For the fig-swirl: Melt butter over medium heat in a saucepan. Add brown sugar and stir to
dissolve.
Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium heat,
stirring frequently, until you have a chunky-jammy mixture. Add salt with one or two stirs, set aside
and let cool completely.
Ice cream: In a small pot over medium heat, combine milk, and granulated sugar until sugar is completely
dissolved and the milk is just barely lukewarm. Whisk in the egg yolks. Set mixture in the fridge and
wait until the fig mixture is cool.
Using an ice cream machine, pour liquids into the frozen basin and process according to manufacturer
instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam mixture and
the nuts. Continue to process for +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish, or glass
tupperware. Freeze for at least two hours before serving.
1 1/2 cups heavy cream
1/3 granulated suger
2 egg yolks
1 lemon,juiced
2 tbsp butter
1 cup honey roasted pecans,roughly
chopped
Vanessa Stevenson
Food enthusiast, photography fan. Add a pinch of raw foodism and that's pretty much who I am.


Repeat after me...
I
don't
care
So what's the PaaS layer to me?
A Little History
- Nov 2010: Makara acquired
- In 2011: merged into OpenShift project
- May 2012: Open Sourced
- Dec 2012: OpenShift Primer (e-book)
- 2013: Online Public PaaS / Enterprise Private PaaS / xPaaS Services
- Apr 2014: OpenShift Primer revision 2 (e-book)
- June 2014: OpenShift Online Market Place, extend reach to LTAM / APAC
- Sep 2014: European hosting (Dec APAC)
- Coming soon: v3 with Docker, Kubernetes, etc...
Events - JUG's, GOTO Aarhus, JAX London, JUDCon, Devoxx (2x), APAC Tech Exchange
Now you can talk about
IaaS & PaaS
but what about
xPaaS
Enterprise apps are complex
Reduce more work with higher-level services
JBoss xPaaS services for OpenShift
Is PaaS your future?
Mastering xPaaS
Devoxx 2014
OpenShift Primer
Devoxx 2013