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[Stabber Fleet Issue, STABBER-FLEET-BUMP-CHEAP] Damage Control II Reactor Control Unit II Reactor Control Unit II Overdrive Injector System II Overdrive Injector System II Overdrive Injector System II 500MN Y-T8 Compact Microwarpdrive Large Shield Extender II Large Shield Extender II Large Shield Extender II Civilian Gatling Pulse Laser Prototype Cloaking Device I Salvager II Salvager II Small Tractor Beam II Medium Auxiliary Thrusters II Medium Auxiliary Thrusters II Medium Auxiliary Thrusters I Federation Navy Hobgoblin x5


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score
- Variable in class com.revature.beans.
BatchTSCategory
scoresByCategoryService
- Variable in class com.revature.controllers.
TableController
scoreWeight
- Variable in class com.revature.beans.
Assessment
setAssessments(List<Float>)
- Method in class com.revature.beans.
BatchAssessment
Sets assessments.
setAssessments(List<Assessment>)
- Method in class com.revature.beans.
Week
Sets new assessments.
setAssessmentScore(Double)
- Method in class com.revature.tables.
BatchTechnicalStatus
Sets assessment score.
setAssessmentScores(float[])
- Method in class com.revature.tables.
AssessmentByBatch
Sets assessment scores.
setAverage(Float)
- Method in class com.revature.beans.
Assessment
Sets new average.
setAverage(Double)
- Method in class com.revature.beans.
QCTSScore
Sets average.
setAverage(Float[])
- Method in class com.revature.tables.
AssessmentByCategory
Sets average.
setAverageAvg(Double)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets average avg.
setAverageCount(Integer)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets average count.
setAvgAverage(Double)
- Method in class com.revature.beans.
QCTSScore
Sets avg average.
setAvgGood(Double)
- Method in class com.revature.beans.
QCTSScore
Sets avg good.
setAvgPoor(Double)
- Method in class com.revature.beans.
QCTSScore
Sets avg poor.
setAvgSuperstar(Double)
- Method in class com.revature.beans.
QCTSScore
Sets avg superstar.
setBatchAssessments(List<BatchAssessment>)
- Method in class com.revature.beans.
CategoryBatches
Sets batch assessments.
setBatchByCategory(ArrayList<QCTSCategory>)
- Method in class com.revature.tables.
BatchTechnicalStatusBySkillCategory
Sets batch by category.
setBatches(List<BatchTSCategory>)
- Method in class com.revature.beans.
QCTSCategory
Sets batches.
setBatches(List<Batch>)
- Method in class com.revature.beans.
Trainer
Sets new batches.
setBatchId(String)
- Method in class com.revature.beans.
Batch
Sets new batchId.
setBatchId(String)
- Method in class com.revature.beans.
Week
Sets new batchId.
setBatchId(String)
- Method in class com.revature.tables.
AssessmentByBatch
Sets batch id.
setBatchId(Integer)
- Method in class com.revature.tables.
BatchTechnicalStatus
Sets batch id.
setBatchId(String)
- Method in class com.revature.tables.
TechnicalStatusPerBatch
Sets new batchId.
setBatchName(String)
- Method in class com.revature.beans.
Batch
Sets new batchName.
setBatchName(String)
- Method in class com.revature.beans.
BatchAssessment
Sets batch name.
setBatchName(String)
- Method in class com.revature.beans.
BatchTSCategory
Sets batch name.
setBatchName(String)
- Method in class com.revature.tables.
AssessmentByBatch
Sets batch name.
setBatchName(String)
- Method in class com.revature.tables.
BatchTechnicalStatus
Sets batch name.
setBatchName(String)
- Method in class com.revature.tables.
TechnicalStatusPerBatch
Sets new batchName.
setCategories(List<Category>)
- Method in class com.revature.beans.
Week
Sets new categories.
setCategories(List<CategoryBatches>)
- Method in class com.revature.tables.
AssessScoresByCategoryAllBatches
Sets categories.
setCategory(String)
- Method in class com.revature.beans.
CategoryBatches
Sets category.
setCategory(String)
- Method in class com.revature.tables.
AssessmentByCategory
Sets categories.
setCategory(String)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets category.
setCategoryName(String)
- Method in class com.revature.beans.
QCTSCategory
Sets category name.
setEmail(String)
- Method in class com.revature.beans.
Trainer
Sets new email.
setEmployeeId(String)
- Method in class com.revature.beans.
Trainer
Sets new employeeId.
setEndDate(String)
- Method in class com.revature.beans.
Batch
Sets new endDate.
setFirstName(String)
- Method in class com.revature.beans.
Trainer
Sets new firstName.
setGood(Double)
- Method in class com.revature.beans.
QCTSScore
Sets good.
setGoodAvg(Double)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets good avg.
setGoodCount(Integer)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets good count.
setId(Integer)
- Method in class com.revature.beans.
Assessment
Sets new id.
setId(Integer)
- Method in class com.revature.beans.
Batch
Sets new id.
setId(int)
- Method in class com.revature.beans.
Category
Sets new id.
setId(Integer)
- Method in class com.revature.beans.
Trainer
Sets new id.
setId(Integer)
- Method in class com.revature.beans.
Week
Sets new id.
setJson(String)
- Static method in class com.revature.utils.
ParseJSON
Sets json to be parsed.
setLastName(String)
- Method in class com.revature.beans.
Trainer
Sets new lastName.
setLocation(String)
- Method in class com.revature.beans.
Batch
Sets new location.
setName(String)
- Method in class com.revature.beans.
Category
Sets new name.
setNullAvg(Double)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets null avg.
setNullCount(Integer)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets null count.
setPoor(Double)
- Method in class com.revature.beans.
QCTSScore
Sets poor.
setPoorAvg(Double)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets poor avg.
setPoorCount(Integer)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets poor count.
setRawScore(Double)
- Method in class com.revature.tables.
BatchTechnicalStatus
Sets raw score.
setScore(QCTSScore)
- Method in class com.revature.beans.
BatchTSCategory
Sets score.
setScoreWeight(Integer)
- Method in class com.revature.beans.
Assessment
Sets new scoreWeight.
setSkill(String)
- Method in class com.revature.beans.
Batch
Sets new skill.
setSkillCategory(Category)
- Method in class com.revature.beans.
Assessment
Sets new skillCategory.
setStartDate(String)
- Method in class com.revature.beans.
Batch
Sets new startDate.
setSuperstar(Double)
- Method in class com.revature.beans.
QCTSScore
Sets superstar.
setSuperstarAvg(Double)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets superstar avg.
setSuperstarCount(Integer)
- Method in class com.revature.tables.
TechnicalStatusByWeek
Sets superstar count.
setTechnicalStatus(String)
- Method in class com.revature.beans.
Week
Sets new technicalStatus.
setTechnicalStatus(String)
- Method in class com.revature.tables.
BatchTechnicalStatus
Sets technical status.
setTechnicalStatus(int[])
- Method in class com.revature.tables.
TechnicalStatusPerBatch
Sets new technicalStatus.
setTrainerId(int)
- Method in class com.revature.beans.
Batch
Sets new trainerId.
setType(String)
- Method in class com.revature.beans.
Assessment
Sets new type.
setWeekNumber(String)
- Method in class com.revature.beans.
Week
Sets new weekNumber.
setWeeks(List<Week>)
- Method in class com.revature.beans.
Batch
Sets new weeks.
skill
- Variable in class com.revature.beans.
Batch
skillCategory
- Variable in class com.revature.beans.
Assessment
sRserv
- Variable in class com.revature.services.
BatchTechnicalStatusBySkillCategoryService
SRSserv
- Variable in class com.revature.controllers.
JSONController
SRSserv
- Variable in class com.revature.controllers.
TrainerController
SRSserv
- Variable in class com.revature.services.
AssessmentByBatchService
SRSserv
- Variable in class com.revature.services.
AssessmentByCategoryService
SRSserv
- Variable in class com.revature.services.
AssessScoresByCategoryAllBatchesImplement
sRSserv
- Variable in class com.revature.services.
TechnicalStatusByWeekService
sRSserv
- Variable in class com.revature.services.
TechnicalStatusPerBatchService
startDate
- Variable in class com.revature.beans.
Batch
statusByWeekService
- Variable in class com.revature.controllers.
TableController
statusPerBatchService
- Variable in class com.revature.controllers.
TableController
StoreRetrieveService
- Class in
com.revature.services
The type Store retrieve service.
StoreRetrieveService(AssessmentDAO, BatchDAO, CategoryDAO, TrainerDAO, WeekDAO)
- Constructor for class com.revature.services.
StoreRetrieveService
Instantiates a new Store retrieve service.
superstar
- Variable in class com.revature.beans.
QCTSScore
superstarAvg
- Variable in class com.revature.tables.
TechnicalStatusByWeek
superstarCount
- Variable in class com.revature.tables.
TechnicalStatusByWeek
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{% load static %}
Victim: A women
Date: 2004
Incidence: Sexual harassment
Vijay Nair sexual harassment case: Rising incidents against men emphasise need for gender-neutral laws in Inda Vijay Nair, a Mumbai-based entrepreneur and founder of Only Much Louder (OML). The article, which has since gone viral, describes in detail the ordeal faced by Nair for months, which started with someone anonymously posting a sexually explicit tweet on his Twitter profile. What followed were a series of sexually explicit messages sent by the cyberstalker to Nair over Whatsapp and email, many of which were also copied to Nair’s friends and acquaintances. When Nair finally unmasked the identity of his stalker, it was discovered that the stalker in question was a woman whom Nair was acquainted with. The cyberstalking incident involving Nair is not a lone incident of a man being sexually harassed by a woman. Sexual harassment incidents committed against men (with the perpetrator being a woman) are increasingly being reported and make one wonder whether we need gender neutral sexual harassment laws in India.


{% extends "error/openid_verify.html" %} {% block msg_promo1 %} If this decision raised doubts about the security of your account, you can see the position of the Wargaming.net on this issue: {% endblock %}


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As standard you can claim up to 8% interest on money owed to you. You might be able to claim a different rate. For example, if a loan has not been repaid, or if you had a contract which entitles you to a particular rate.
The court will decide if you're entitled to some or all of the interest claimed. You might be asked to give reasons for why you should get interest.


Teste o seu conhecimento!
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4. Quiz question #4 |
5. Qual a #5 |
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--- layout: post title: 2011 in review tags: - ego status: publish type: post published: true meta: wpcom_recap: '2011' _edit_last: '451289' jabber_published: '1325353239' email_notification: '1325353240' _wpas_done_linkedin: '1' ---
The WordPress.com stats helper monkeys prepared a 2011 annual report for this blog.
Here's an excerpt:
The concert hall at the Syndey Opera House holds 2,700 people. This blog was viewed about 29,000 times in 2011. If it were a concert at Sydney Opera House, it would take about 11 sold-out performances for that many people to see it.


{% load static %}
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{% trans "Leverage is the defect removal efficiency of one phase relative to another, typically relative to the testing phase." %}


Class: Net::HTTP
- Inherits:
-
Object
- Object
- Net::HTTP
- Defined in:
- lib/crapi/client.rb
Overview
Net::HTTP needs a shortcut instance method for PUT calls like it does for GET/DELETE/PATCH/POST.
Instance Method Summary collapse
-
#put(path, data, initheader = nil, dest = nil, &block) ⇒ Net::HTTPResponse
Convenience PUT method monkey-patched into Net::HTTP.
Instance Method Details
#put(path, data, initheader = nil, dest = nil, &block) ⇒ Net::HTTPResponse
Convenience PUT method monkey-patched into Net::HTTP.
Net::HTTP provides handy methods for DELETE, GET, HEAD, OPTIONS, PATCH, and POST, but not PUT, so we have to monkey-patch one in. The parameters listed below were chosen to match those in use for the other Net::HTTP request methods in both name and meaning.
353 354 355 |
# File 'lib/crapi/client.rb', line 353 def put(path, data, initheader = nil, dest = nil, &block) send_entity(path, data, initheader, dest, Put, &block) end |


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Last updated: 2018-09-28
Code version: e0ca9da
Having performed some basic quality control and filtering on the data, I now move to quantify how well Hi-C interaction frequency values can be predicted from species identity. To accomplish this, I utilize limma to linearly model Hi-C interaction frequencies as a function of all the metadata about each sample’s species, sex, and batch. I then add information from linear modeling to the full dataframe, including log-fold changes between species, p-values, betas, and variances. I then make a plot of the mean vs. the log-fold change as an MA plot proxy for quality control. I move on to look at distributions of all the p-values and betas for each of the terms, make some QQ plots to check for normality in the p-values for each term, and represent the log-fold change and p-values in a volcano plot of the data.
###Read in data, normalized in initial_QC document, with condition of at least 2 individuals for discovery.
filt.KR <- fread("~/Desktop/Hi-C/juicer.filt.KR", header = TRUE, data.table=FALSE, stringsAsFactors = FALSE, showProgress = FALSE)
filt.VC <- fread("~/Desktop/Hi-C/juicer.filt.VC", header=TRUE, data.table=FALSE, stringsAsFactors=FALSE, showProgress = FALSE)
###Reassign metadata here, just for quick reference.
meta.data <- data.frame("SP"=c("H", "H", "C", "C", "H", "H", "C", "C"), "SX"=c("F", "M", "M", "F", "M", "F", "M", "F"), "Batch"=c(1, 1, 1, 1, 2, 2, 2, 2))
###Now to move on to linear modeling, doing it in both the full data set and the | 4 individuals condition. I utilize limma to make this quick, parllelizable, and simple. First make the model, then do the actual fitting, and finally do multiple testing adjustment with topTable.
design <- model.matrix(~1+meta.data$SP+meta.data$SX+meta.data$Batch) #Parameterize the linear model, with an intercept, and fixed effect terms for species, sex, and library prep batch. If you prefer to think in contrasts, my contrast is humans minus chimps. I prefer to think of one species as the baseline in the linear model, and in this case that's chimps (so chimps get a 0 for species, and humans get a 1).
lmFit(filt.KR[,112:119], design) %>% eBayes(.) -> model.KR
lmFit(filt.VC[,112:119], design) %>% eBayes(.) -> model.VC
volc.KR <- topTable(model.KR, coef = 2, sort.by = "none", number = Inf)
volc.VC <- topTable(model.VC, coef=2, sort.by="none", number=Inf)
###Now append the information extracted from linear modeling (p-values and betas for species, sex, and batch) to the 2 data frames:
filt.KR$sp_beta <- volc.KR$logFC #Beta already is logFC since values are log2(obs/exp) Hi-C reads.
filt.KR$sp_pval <- volc.KR$P.Value #Unadjusted P-val
filt.KR$sp_BH_pval <- volc.KR$adj.P.Val #Benjamini-Hochberg adjusted p-values
filt.KR$avg_IF <- volc.KR$AveExpr #Average Interaction Frequency value across all individuals. Useful later for a variety of plots.
filt.KR$t_statistic <- volc.KR$t #t-statistic from limma topTable
filt.KR$B_statistic <- volc.KR$B #B-statistic (LOD) from limma topTable
filt.KR$sx_pval <- model.KR$p.value[,3]
filt.KR$btc_pval <- model.KR$p.value[,4]
filt.KR$sx_beta <- model.KR$coefficients[,3]
filt.KR$btc_beta <- model.KR$coefficients[,4]
filt.KR$SE <- sqrt(model.KR$s2.post)*model.KR$stdev.unscaled[,2]
filt.VC$sp_beta <- volc.VC$logFC #Beta already is logFC since values are log2(obs/exp) Hi-C reads.
filt.VC$sp_pval <- volc.VC$P.Value #Unadjusted P-val
filt.VC$sp_BH_pval <- volc.VC$adj.P.Val #Benjamini-Hochberg adjusted p-values
filt.VC$avg_IF <- volc.VC$AveExpr #Average Interaction Frequency value across all individuals. Useful later for a variety of plots.
filt.VC$t_statistic <- volc.VC$t #t-statistic from limma topTable
filt.VC$B_statistic <- volc.VC$B #B-statistic (LOD) from limma topTable
filt.VC$sx_pval <- model.VC$p.value[,3]
filt.VC$btc_pval <- model.VC$p.value[,4]
filt.VC$sx_beta <- model.VC$coefficients[,3]
filt.VC$btc_beta <- model.VC$coefficients[,4]
filt.VC$SE <- sqrt(model.VC$s2.post)*model.VC$stdev.unscaled[,2]
####NONE of these figures are in any supplement so WHO CURRS
###Before moving to any actual assessment of the linear modeling, do a QC check by producing MA plots for both the full set and | 2 individuals. The MA plot here is the mean of Hi-C contact frequencies (avg_IF) on the x-axis, and the logFC (species beta, in this case) on the y-axis. What we are generally looking for is a fairly uniform cloud around 0 stretching across the x-axis.
ggplot(data=filt.KR[,c('avg_IF','sp_beta')], aes(x=avg_IF, y=sp_beta)) + geom_point() + xlab("Means of Hi-C Contact Frequencies") + ylab("Species Beta (log ratio H/C)") + ggtitle("MA Plot, KR Data") + coord_cartesian(xlim=c(-5, 500), ylim=c(-50, 50))
ggplot(data=filt.VC[,c('avg_IF','sp_beta')], aes(x=avg_IF, y=sp_beta)) + geom_point() + xlab("Means of Hi-C Contact Frequencies") + ylab("Species Beta (log ratio H/C)") + ggtitle("MA Plot, VC Data") + coord_cartesian(xlim=c(-5, 500), ylim=c(-50, 50))
###Check some of the more basic linear modeling issues: distributions of betas, p-vals, QQplot, volcano plot, etc.
##Check p-vals and betas for all covariates in the full model, on all the data.
ggplot(data=filt.KR[,120:140], aes(x=sp_pval)) + geom_histogram(binwidth=0.01) + ggtitle("P-vals for Species, KR") + xlab("P-value") + coord_cartesian(ylim=c(0, 1000))
ggplot(data=filt.KR[,120:140], aes(x=sx_pval)) + geom_histogram(binwidth=0.01) + ggtitle("P-vals for Sex, KR") + xlab("P-value") + coord_cartesian(ylim=c(0, 1000))
ggplot(data=filt.KR[,120:140], aes(x=btc_pval)) + geom_histogram(binwidth=0.01) + ggtitle("P-vals for Batch, KR") + xlab("P-value") + coord_cartesian(ylim=c(0, 1000))
ggplot(data=filt.KR[,120:140], aes(x=sp_beta)) + geom_histogram(binwidth=0.01) + ggtitle("Betas for Species, KR") + xlab("Beta") + coord_cartesian(xlim=c(-4.5, 4.5), ylim=c(0, 200))
ggplot(data=filt.KR[,120:140], aes(x=sx_beta)) + geom_histogram(binwidth=0.01) + ggtitle("Betas for Sex, KR") + xlab("Beta") + coord_cartesian(xlim=c(-4.5, 4.5), ylim=c(0, 200))
ggplot(data=filt.KR[,120:140], aes(x=btc_beta)) + geom_histogram(binwidth=0.01) + ggtitle("Betas for Batch, KR") + xlab("Beta") + coord_cartesian(xlim=c(-4.5, 4.5), ylim=c(0, 200))
ggplot(data=filt.VC[,120:140], aes(x=sp_pval)) + geom_histogram(binwidth=0.01) + ggtitle("P-vals for Species, VC") + xlab("P-value") + coord_cartesian(ylim=c(0, 1500))
ggplot(data=filt.VC[,120:140], aes(x=sx_pval)) + geom_histogram(binwidth=0.01) + ggtitle("P-vals for Sex, VC") + xlab("P-value") + coord_cartesian(ylim=c(0, 1500))
ggplot(data=filt.VC[,120:140], aes(x=btc_pval)) + geom_histogram(binwidth=0.01) + ggtitle("P-vals for Batch, VC") + xlab("P-value") + coord_cartesian(ylim=c(0, 1500))
ggplot(data=filt.VC[,120:140], aes(x=sp_beta)) + geom_histogram(binwidth=0.01) + ggtitle("Betas for Species, VC") + xlab("Beta") + coord_cartesian(xlim=c(-4.5, 4.5), ylim=c(0, 210))
ggplot(data=filt.VC[,120:140], aes(x=sx_beta)) + geom_histogram(binwidth=0.01) + ggtitle("Betas for Sex, VC") + xlab("Beta") + coord_cartesian(xlim=c(-4.5, 4.5), ylim=c(0, 210))
ggplot(data=filt.VC[,120:140], aes(x=btc_beta)) + geom_histogram(binwidth=0.01) + ggtitle("Betas for Batch, VC") + xlab("Beta") + coord_cartesian(xlim=c(-4.5, 4.5), ylim=c(0, 210))
#These all look pretty good, with p-val distributions for sex and batch being fairly uniform, and betas all around being fairly normally distributed. We see distinct enrichment for significant p-values for the species term, which is what we were hoping for! Also of note is the fact that the beta distribution for species looks wider than those for batch and sex, reassuring us that species is a driving factor in differential Hi-C contacts.
###Now, to double-check on the p-values with some QQplots. First, I define a function for creating a qqplot easily and coloring elements of the distribution in order to understand where most of the density on the plot is:
newqqplot=function(pvals, quant, title){
len = length(pvals)
res=qqplot(-log10((1:len)/(1+len)),pvals,plot.it=F)
plot(res$x,res$y, main=title, xlab="Theoretical", ylab="Actual", col=ifelse(res$y>as.numeric(quantile(res$y, quant[1])), ifelse(res$y>as.numeric(quantile(res$y, quant[2])), "red", "blue"), "black"))
abline(0, 1)
}
##Start QQplotting some of these actual values.
newqqplot(-log10(filt.KR$sp_pval), c(0.5, 0.75), "QQ Plot, Species P-vals, KR Data")
newqqplot(-log10(filt.KR$sx_pval), c(0.5, 0.75), "QQ Plot, Sex P-vals, KR Data")
newqqplot(-log10(filt.KR$btc_pval), c(0.5, 0.75), "QQ Plot, Batch P-vals, KR Data")
newqqplot(-log10(filt.VC$sp_pval), c(0.5, 0.75), "QQ Plot, Species P-vals, VC Data")
newqqplot(-log10(filt.VC$sx_pval), c(0.5, 0.75), "QQ Plot, Sex P-vals, VC Data")
newqqplot(-log10(filt.VC$btc_pval), c(0.5, 0.75), "QQ Plot, Batch P-vals, VC Data")
###MAIN PAPER FIG 2
#Volcano plots of the data colored by species of discovery:
volcplot.KR <- data.frame(pval=-log10(filt.KR$sp_pval), beta=filt.KR$sp_beta, species=filt.KR$disc_species)
ggplot(data=volcplot.KR, aes(x=beta, y=pval, color=species)) + geom_point() + xlab("Log2 Fold Change in KR Contact Frequency") + ylab("P-values") + ggtitle("KR Contact Frequency Differences Colored by Species of Discovery") + coord_cartesian(xlim=c(-6, 6))
#ggplot(data=volcplot.KR, aes(x=beta, y=pval)) + geom_point() + xlab("Log2 Fold Change in Contact Frequency") + ylab("-log10 BH-corrected p-values") + ggtitle("Contact Frequency Differences, KR") + coord_cartesian(xlim=c(-6, 6))
volcplot.VC <- data.frame(pval=-log10(filt.VC$sp_pval), beta=filt.VC$sp_beta, species=filt.VC$disc_species)
ggplot(data=volcplot.VC, aes(x=beta, y=pval, color=species)) + geom_point() + xlab("Log2 Fold Change in VC Contact Frequency") + ylab("P-values") + ggtitle("VC Contact Frequency Differences Colored by Species of Discovery") + coord_cartesian(xlim=c(-6, 6))
#ggplot(data=volcplot.VC, aes(x=beta, y=pval)) + geom_point() + xlab("Log2 Fold Change in Contact Frequency") + ylab("-log10 BH-corrected p-values") + ggtitle("Contact Frequency Differences, VC") + coord_cartesian(xlim=c(-6, 6))
#Write out the data with the new columns added on!
fwrite(filt.KR, "~/Desktop/Hi-C/juicer.filt.KR.lm", quote = TRUE, sep = "\t", row.names = FALSE, col.names = TRUE, na="NA", showProgress = FALSE)
fwrite(filt.VC, "~/Desktop/Hi-C/juicer.filt.VC.lm", quote=TRUE, sep="\t", row.names=FALSE, col.names=TRUE, na="NA", showProgress=FALSE)
From this analysis two concerns emerge for further exploration: the QQ plots for the species p-values seem inflated, and the volcano plot seems highly asymmetrical. I’ll examine this further in the next analysis on linear modeling QC.
sessionInfo()
R version 3.4.0 (2017-04-21)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: OS X El Capitan 10.11.6
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.4/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] compiler stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] bedr_1.0.4 forcats_0.3.0 purrr_0.2.4
[4] readr_1.1.1 tibble_1.4.2 tidyverse_1.2.1
[7] edgeR_3.20.9 RColorBrewer_1.1-2 heatmaply_0.14.1
[10] viridis_0.5.0 viridisLite_0.3.0 stringr_1.3.0
[13] gplots_3.0.1 Hmisc_4.1-1 Formula_1.2-2
[16] survival_2.41-3 lattice_0.20-35 dplyr_0.7.4
[19] plotly_4.7.1 cowplot_0.9.3 ggplot2_2.2.1
[22] reshape2_1.4.3 data.table_1.10.4-3 tidyr_0.8.0
[25] plyr_1.8.4 limma_3.34.9
loaded via a namespace (and not attached):
[1] colorspace_1.3-2 class_7.3-14 modeltools_0.2-21
[4] mclust_5.4 rprojroot_1.3-2 htmlTable_1.11.2
[7] futile.logger_1.4.3 base64enc_0.1-3 rstudioapi_0.7
[10] flexmix_2.3-14 mvtnorm_1.0-7 lubridate_1.7.3
[13] xml2_1.2.0 R.methodsS3_1.7.1 codetools_0.2-15
[16] splines_3.4.0 mnormt_1.5-5 robustbase_0.92-8
[19] knitr_1.20 jsonlite_1.5 broom_0.4.3
[22] cluster_2.0.6 kernlab_0.9-25 R.oo_1.21.0
[25] httr_1.3.1 backports_1.1.2 assertthat_0.2.0
[28] Matrix_1.2-12 lazyeval_0.2.1 cli_1.0.0
[31] acepack_1.4.1 htmltools_0.3.6 tools_3.4.0
[34] bindrcpp_0.2 gtable_0.2.0 glue_1.2.0
[37] Rcpp_0.12.16 cellranger_1.1.0 trimcluster_0.1-2
[40] gdata_2.18.0 nlme_3.1-131.1 iterators_1.0.9
[43] fpc_2.1-11 psych_1.7.8 testthat_2.0.0
[46] rvest_0.3.2 gtools_3.5.0 dendextend_1.7.0
[49] DEoptimR_1.0-8 MASS_7.3-49 scales_0.5.0
[52] TSP_1.1-5 hms_0.4.2 parallel_3.4.0
[55] lambda.r_1.2 yaml_2.1.18 gridExtra_2.3
[58] rpart_4.1-13 latticeExtra_0.6-28 stringi_1.1.7
[61] gclus_1.3.1 foreach_1.4.4 checkmate_1.8.5
[64] seriation_1.2-3 caTools_1.17.1 rlang_0.2.0
[67] pkgconfig_2.0.1 prabclus_2.2-6 bitops_1.0-6
[70] evaluate_0.10.1 bindr_0.1.1 labeling_0.3
[73] htmlwidgets_1.0 magrittr_1.5 R6_2.2.2
[76] pillar_1.2.1 haven_1.1.1 whisker_0.3-2
[79] foreign_0.8-69 nnet_7.3-12 modelr_0.1.1
[82] crayon_1.3.4 futile.options_1.0.0 KernSmooth_2.23-15
[85] rmarkdown_1.9 locfit_1.5-9.1 grid_3.4.0
[88] readxl_1.0.0 git2r_0.21.0 digest_0.6.15
[91] diptest_0.75-7 webshot_0.5.0 VennDiagram_1.6.19
[94] R.utils_2.6.0 stats4_3.4.0 munsell_0.4.3
[97] registry_0.5
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| playerInfo {Lahman} | R Documentation |
These functions use grep
to lookup information about players
(from the People
file)
and teams (from the Teams
file).
playerInfo(playerID, nameFirst, nameLast, data = Lahman::People, extra = NULL, ...) teamInfo(teamID, name, data = Lahman::Teams, extra = NULL, ...)
playerID |
pattern for |
nameFirst |
pattern for first name |
nameLast |
pattern for last name |
data |
The name of the dataset to search |
extra |
A character vector of other fields to include in the result |
... |
other arguments passed to |
teamID |
pattern for |
name |
pattern for team name |
Returns a data frame for unique matching rows from data
Michael Friendly
grep
, ~~~
playerInfo("aaron") teamInfo("CH", extra="park")


Autama are a community of quirky personalities made by our users using artificial intelligence. Each Autama has unique interests and desires. Come in, hang out and play.
-
KAY WRECKER
I love black and white photography, chillout music and green tea. I’ll break up with your boyfreind for you.
-
MARIE BENNETT
OK, my name is Marie, not marry me, but you might want to because I am so funny.
-
TONY
I love music and hate people. Star Wars is worse then pickles
Autama can be used to teach your friends new music, share a joke with friends, general entertainment or just to hang out with. You can create your Autama any way you’d like.


| 016:028 Khan | : |
"Those whose lives the angels take while they are doing wrong to themselves (by disbelief and by associating partners in worship with Allah and by committing all kinds of crimes and evil deeds)." Then, they will make (false) submission (saying): "We used not to do any evil." (The angels will reply): "Yes! Truly, Allah is All- Knower of what you used to do. |
| 016:028 Maulana | : |
Whom the angels cause to die, while they are unjust to themselves. Then would they offer submission: We did not do any evil. Nay! Surely Allah knows what you did. |
| 016:028 Pickthal | : |
Whom the angels cause to die while they are wronging themselves. Then will they make full submission (saying): We used not to do any wrong. Nay! Surely Allah is Knower of what ye used to do. |
| 016:028 Rashad | : |
The angels put them to death in a state of wronging their souls. That is when they finally submit, and say, "We did not do anything wrong!" Yes indeed. GOD is fully aware of everything you have done. |
| 016:028 Sarwar | : |
The unjust, who will be seized by the angels, will submit themselves, obey, and say, "We were not evil-doers." But God certainly knows what they had been doing. |
| 016:028 Shakir | : |
Those whom the angels cause to die while they are unjust to themselves. Then would they offer submission: We used not to do any evil. Aye! surely Allah knows what you did. |
| 016:028 Sherali | : |
Those on whom the angels cause to die while they are wronging their souls, will offer submission pleading, 'We use not to do any evil.' It will be said to them, 'Nay, surely, ALLAH knows well what you used to do, |
| 016:028 Yusufali | : |
"(Namely) those whose lives the angels take in a state of wrong-doing to their own souls." Then would they offer submission (with the pretence), "We did no evil (knowingly)." (The angels will reply), "Nay, but verily Allah knoweth all that ye did; |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > علمه جلّ شأنه Pillars of Islam> Islamic> Oneness of Allah> His Glory's Knowledge أركان الإسلام > التوحيد > الكافرون > صفات الكفار Pillars of Islam> Islamic> The Disbelievers> The Characteristics of the Disbelievers الإيمان > الملائكة > الإيمان بهم Faith> The Angels> To Believe in them الإيمان > الملائكة > قيامهم بأمر ربهم > توفي النفوس Faith> The Angels> Their Obedience to Allah> To Die them الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > التكبر Man and The Moral Relations>The Dispraised Morals>Arrogance
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Perfect landing page for you app
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment, and found herself walking.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise.
Watch videoThis sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise.
Watch videoThis sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise.
Watch videoThis sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment, and found herself walking.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment, and found herself walking.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment, and found herself.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment, and found herself.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment, and found herself walking.
This sounded nonsense to Alice, so she said nothing, but set off at once toward the Red Queen. To her surprise, she lost sight of her in a moment.


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Changelog
19.0.0
Features
- Improve padding: tabs, lists, menus, buttons, etc.
- Set text fields and search fields color to contrast color by default, to make them more prominent.
- Add more "border" colors, to make it easier to distinguish the different panes.
Fixes
- Remove transparency for tree colors
- Add actions to new UI's main toolbar
- Support for 2022.3
- Upgrade gradle dependencies
18.0.0
Features
- New themes:
- Material Forest
- Material Volcano
- Material Sky Blue
- Material Sandy Beach
- SynthWave '84
- Reorganized themes in the menu: group dark and light themes together
Fixes
- Updated colors according to the main plugin
- Improved GitHub and SynthWave color scheme a bit
- Fixed actions not working
Other
- Updated Plugin Icon
- Updated dependencies
- Migrated to JDK 17
- Removed some useless files
- Added some JavaDoc/KDoc


Web workers allow the browser to execute multiple javascript threads to compute operations without interrumping the main thread the user interacts on.
Large computations usually affect the user interaction noticible by a slowdown in performace and a browser non-responding tab warning.
Main thread timer:


{% extends 'team_base.html' %} {% load commonmark %} {% load bootstrap3 %} {% load teams_tags %} {% block title %} Members | {{ block.super }} {% endblock %} {% block team_content %}
The following {{ team.approved_members.count }} people {% if team.unapproved_members.count %}(and {{ team.unapproved_members.count }} pending){% endif %} are members of the {{ team.name }} Team:
| Name | Status | {% if request.user in team.responsible_members.all %}Description | Action | {% endif %}|
|---|---|---|---|---|
| {{ member.user.profile.get_public_credit_name }} {% if member.user == request.user %}(this is you!){% endif %} | Team {% if member.responsible %}Responsible{% else %}Member{% endif %} {% if not member.approved %}(pending approval){% endif %} | {% if request.user in team.responsible_members.all %}{{ member.user.email }} | {{ member.user.profile.description|untrustedcommonmark }} | {% endif %} |
Your membership status: {% membershipstatus user team %}
{% if request.user in team.members.all %} {% if team.irc_channel and team.irc_channel_managed and request.user.profile.nickserv_username %} Fix IRC ACL {% endif %} Leave Team {% else %} {% if team.needs_members %} This team is looking for members! Join Team {% endif %} {% endif %} {% endif %}


- Solid State: 1-2%
- Solutions: 2-3%
- Electrochemistry: 3-4%
- Chemical Kinetics: 3-4%
- Surface Chemistry: 1-2%
- General Principles and Processes of Isolation of Elements: 2-3%
- p-Block Elements: 5-6%
- d- and f-Block Elements: 4-5%
- Coordination Compounds: 4-5%
- Haloalkanes and Haloarenes: 2-3%
- Alcohols, Phenols, and Ethers: 4-5%
- Aldehydes, Ketones and Carboxylic Acids: 3-4%
- Organic Compounds Containing Nitrogen: 3-4%
- Polymers: 3-4%
- Biomolecules: 2-3%
- Chemistry in Everyday Life: 2-3%
It is important to note that the
weightage can vary every year and these are just approximate values. Therefore, it is
recommended to cover all the topics thoroughly to increase the chances of scoring well
in
JEE Main Physics.


Taking your business to the next level using technology innovation, that’s The Power To Do More. By deploying today’s advanced solutions within your computing infrastructure – from servers and storage, to virtualization and security, to data center architecture and the cloud – you can create exciting opportunities to redefine your business with unprecedented speed, performance, agility and efficiency. Throughout this site, read how different companies have applied these solutions and established the end-to-end technology underpinnings that will help them accomplish more than they’ve ever dreamed possible.
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Chapter 4. The Rainforest Library.
Mr. Ruche receives the crate of books that Grosrouvre sent him. The collection is called the Rainforest Library!
Mr. Ruche, Perrette, the twins, and Max discuss together how to classify the "Rainforest Library." They agree to organize the crate of books into the next categories: Geometry, Arithmetic, Algebra, Trigonometry, Probability, Mechanics, Logic, and the New Maths!
Max visits a pet shop along with Sidney; he is looking for food for the parrot, there, he sees an official notice stating that to have a pet in France this one needs to have an official certificate.
He is told by a girl working there that Sidney is a valuable bird talker, an Amazon blue. The boy has a bad feeling with the girl and quickly gets out of the pet shop. After that, the girl calls someone giving details about Max and Sidney!
Chapter 5. The Three Ages of Math.
Mr. Ruche visits the library for several days, where he studies who were the most important mathematicians and their contributions in different periods of the history.
The first day he compiles the list of mathematicians from Ancient Greece, from 700 BC to AD 700. The second day, he continues with the distinguished names in the Arab world, from AD 800 to 1400. And finally, he finishes listing the people of the Western world, from 1500 to 1900.
After that, he along with Perrette, start to classify the books in the crates, one by one. And he realizes that, indeed, Grosrouvre was not exaggerating when he said in the letter that was the world's best collection of books about mathematics.
Chapter 6. Friends and Enemies
Mr. Ruche receives an envelope from Brazil that informs him that Grosrouvre was found dead; another letter is inside the pocket, it is directed to him and written by Elgar.
Perrette reads the letter to Mr. Ruche. In the letter, Elgar tells him that he solved two theorems and decided to keep them in secret. However, some people with bad intentions was trying to know the solution of those theorems and were behind him. He says goodbye.
Mr. Ruche is sad because of his best friend.
He, Perrette and the boys (except Lea) discuss the content of the letter, and they try to work out what happened with Elgar.
Chapter 7. The Numbers Game
Mr. Ruche examines the life of Pythagoras and his disciples, the so-called Pythagoreans, such as Hippasus, the leader of the initiated or acousmaticians; Hippocrates, who studied the crescents or lunes and was thrown out of the Pythagorean school; Philolaus, the survivor of the fire provoked by a rejected aspirant, Cylon. Philolaus was an astronomer. Also Archytas, who was an engineer and is reputed to have made a mechanical bird, Archytas also saved Plato from a tyrant called Denys.
After reading about Pythagoras, he along with Max and Sidney prepares a lecture to explain to the rest other details about Pythagoras, such as the relationship between musical notes and numbers, the Pythagoras's theorem, and how the initiation was done in his school.
The aspirants to be his student were supposed to wait for five years in silence behind a curtain. Those who were waiting to see the master face to face were called exoterics, and the ones who achieved the honor were known as esoterics.
Mr. Ruche says to the guys that they are worthy of being esoterics. Mr. Ruche discusses with Perrette about Grosrouvre. She thinks that they should consider the possibility that he is not dead.
Finally, and because of Lea was insisting that she was starving, Mr. Ruche suggests to go for an all-nighter and Albert, who was there all the time, wakes up and refuse to be an esoteric.
Chapter 8. Just a Fraction
Mr. Ruche organizes a night school where he discusses the root of number two.
Perrette reflects on all the things that are happening since they received the letter. Max is pouring the water from one vase into another, to help Sidney to reach the water in the glass; she quickly realizes that the water will overflow because she sums the ratio of water in each vase, Max gets impressed.
Albert tells Max about the knowledge he has acquired of different cities in his profession as a taxi driver, even when he has never been in those cities.
The twins together work at the night and proof that there is not a fraction, that, squared, could equal two. Perrette and Mr. Ruche are impressed; he approves his evolution from acousmaticians to mathematicians.


Clara Gonzalez Sueyro — Researcher and anthropologist based in San Francisco.
Curiosity is my driving force. I love discovering new ways and find inspiration when interacting and collaborating with people of diverse backgrounds.
Observing and understanding are my favorite verbs.
Stories and context the nouns.
Empathy is the result.


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references go here!
(Definition of Autonomous Vehicles - Gartner Information Technology Glossary, 2021)
(What is an Autonomous Car? | Synopsys, 2021)
(What is Adaptive Cruise Control? | TomTom Blog, 2021)
(Active Cruise Control Explained | Lachlan Wornes, 2015)
(What is park assist? | Buyacar, 2021)
(Park Assis Explained |Andrew Chesterton, 2016)
(Volvo Highway Pilot promises unsupervised driving on highways | Viknesh Vijayenthiran, 2021)
(2022 Volvo XC90 Will Get Autonomous Highway Pilot Hardware with Lidar | Roberto Baldwin, 2020)
(Road death by road user | National Road Safety Strategy, 2021)
Chainlink. 2021. How Hybrid Smart Contracts Incentivize Regenerative Agriculture. [online] Available at:
Chainlink, 2021. Regenerative Agriculture. [image] Available at:
Cointelegraph, 2021. Blockchain for Babyboomers: What Stops Older Generation From Using Bitcoin?. [online] Available at:
Conway, L., 2021. Blockchain Explained. [online] Investopedia. Available at:
CyberBahn Federal Solutions, 2021. blockchain. [image] Available at:
Euromoney.com. 2021. Blockchain Explained: What is blockchain? | Euromoney Learning. [online] Available at:
Fibo Group, 2021. Investments. [image] Available at:
Icaew.com. 2021. History of blockchain. [online] Available at:
Investopedia, 2021. Transaction Process. [image] Available at:
Investopedia, 2021. Attributes of Cryptocurrency. [image] Available at:
Nagpal, R., 2017. #8 Steps to Build a Blockchain Solution. [online] Entrepreneur. Available at:
Nday, S., 2021. Is It Hard to Build a Blockchain From Scratch?. [online] Medium. Available at:
Reiff, N., 2021. Blockchain Technology Could Revolutionize Health Care. [online] Investopedia. Available at:
Royal, J., 2021. What Is Cryptocurrency? Beginners Guide to Digital Cash - NerdWallet. [online] NerdWallet. Available at:
Ullah, S., 2021. How Is Cryptocurrency Affecting Global Economies Worldwide?. [online] TechBullion. Available at:


Motivation
In my previous post, Practical Permission-based Authorization in ASP.NET Core, I tried to demonstrate how to implement a regime of permissions-based authorization without having to stuff it all into an ever-exploding list of roles, without abusing claims, and without having to roll your own framework-fighting implementation. Resource filters allow you to do this elegantly and still remain in harmony with the framework.
However, I may have been too terse. I got a couple questions and a request for a working example, which seemed like a reasonable request, so that what this post is about. Part of what I realized I needed to do is fill in a bunch of gaps about which I assumed the reader’s a priori knowledge. That was a mistake, and so this post will go into more detail about how all this stuff works.
The code is available at GitHub: trinityrepublic/demo-authorization.
Overview
First things first. In the other post, I linked to the ASP.NET Core documentation, but maybe I didn’t lean into that as aggressively as I should have. If you have not at least read the section called How do filters work?, then you stand a good chance of not following this. Go on, right now. Read it. It will take you 2 minutes, and this post is just a back-button click away.
I’ve used the default web project template from the CLI tooling (1.0.0-preview2-003133
). It uses the ASP.NET Identity
framework to manage authentication (remember, authentication is not the same as authorization).
Permissions are an authorization concern. So we’re going to let Identity handle authentication for us using the defaults.
You’ll see the following in Startup.cs
(with a bunch of stuff omitted…)
namespace WebApplication
{
public class Startup
{
public Startup(IHostingEnvironment env)
{
/* stuff */
}
public IConfigurationRoot Configuration { get; }
public void ConfigureServices(IServiceCollection services)
{
/* stuff */
}
public void Configure(IApplicationBuilder app,
IHostingEnvironment env,
ILoggerFactory loggerFactory)
{
loggerFactory.AddConsole(Configuration.GetSection("Logging"));
loggerFactory.AddDebug();
if (env.IsDevelopment())
{
app.UseDeveloperExceptionPage();
app.UseDatabaseErrorPage();
app.UseBrowserLink();
}
else
{
app.UseExceptionHandler("/Home/Error");
}
app.UseStaticFiles();
// ************** THE IMPORTANT PART OF THIS SNIPPET *****************
app.UseIdentity();
// *******************************************************************
app.UseMvc(routes =>
{
routes.MapRoute(
name: "default",
template: "{controller=Home}/{action=Index}/{id?}"
)
});
}
}
}
The indicated line above, app.UseIdentity()
, is an IApplicationBuilder
extension method provided by the Identity
framework. You can see for yourself what it does, but for our
purposes what you really need to know is that it registers cookie authentication (using similar builder extension methods),
which in turn register CookieAuthenticationMiddleware
, which in turn registers the CookieAuthenticationHandler
, which is
the class that does the actual authentication for us.
This (and any) authentication handler will do the work to figure out if a user’s claims about their identity are valid. If so, then the handler will mark this particular identity as authenticated. So just to be extra clear: whether or not a user is authenticated is always a binary question. Yes, or no. True or false.
Details
Now to authorization. In ASP.NET Core, rather than the old membership system in which users could be placed in roles and
authorization granted based on membership in a role, authorization is built on “policies”. Role membership is a
pre-configured policy and is still supported (see Role based Authorization), but the framework allows you to define
arbitrary policies, which gives us a lot more flexibility in how we authorize our users. But wait! Weren’t we just
talking about authentication? Yes - and here’s the link: the default authorization policy configured in ASP.NET Core is to
test for authentication. That’s why when you first start a new application you slap the [Authorize]
attribute on
everything. Unless you configure other policies, there’s a one-to-one mapping between “is authenticated” and “is
authorized”.
The AuthorizeAttribute
also takes a Policy
parameter that allows you to authorize based on any named policy. In the case
of permissions authorization it should be straightforward to make a “Permissions” policy and specify it like this:
[Authorize(Policy="Permissions")]
public IActionResult Get()
{
/* do get-y stuff in here */
}
Ah…except it’s not that simple. What permissions does a user need? First, let’s back up and see how authorization policies work. Again, the documentation on this topic is really very good, so I strongly encourage you to read it for yourself. However, I will try and summarize here. Policies are implemented via “Requirements”, and with each requirement there must be at least one associated authorization handler. The handlers determine whether or not their associated requirement is satisfied, and then finally the policy is satisfied if any requirement is met.
The tricky part about permissions is that you don’t know what permissions you need to check when the policy is defined, and
polices aren’t parameterizable. All you can do is indicate in the attribute what policy to use, and then an
AuthorizationFilter
is added to that action, and the AuthorizationFilter
evaluates the given policy (by evaluating each
of its requirements until one succeeds or they all fail).
The AuthorizationFilter
makes use of a service that is registered for us when the Identity framework is configured: IAuthorizationService
.
This service allows a bit more control over what things are being evaluated, which is to our advantage. Indeed, if you check out the
Authorizing Within Your Code section in the
documentation, you’ll see that the registered IAuthorizationService
can be injected into controllers just like anything else, which allows
you do evaluate policies and even requirements directly. This is the basis of resource authorization, actually. The good news is that
because the IAuthorizationService
gives us more control, parameterization is no longer an issue:
public IActionResult Get()
{
if (await _authorizationService.AuthorizeAsync(User, context, /* requirement or policy goes here */))
{
return View();
}
else
{
return ChallengeResult();
}
}
Used like this, IAuthorizationService
can clearly allow us to use whatever policy or requirement we want on a
request-by-request basis. Remember though: we wanted to do this in a declarative way using attributes. My solution to this
problem was to use the TypeFilterAttribute
, which gives us access to the DI container. My previous post
explained this technique adequately so I won’t repeat it all here, but here’s the code for the described technique that can
give use a dependency-injected attribute like we wanted.
using System;
using System.Threading.Tasks;
using Microsoft.AspnetCore.Authorization;
using Microsoft.AspNetCore.Mvc;
using Microsoft.AspNetCore.Mvc.Filters;
using Microsoft.Extensions.Logging;
using WebApplication.AspNetCore.Authorization;
namspace WebApplication.AspNetCore.Mvc.Filters
{
public class RequiresPermissionAttribute : TypeFilterAttribute
{
public RequiresPermissionAttribute(params Permission[] permissions)
: base(typeof(RequiresPermissionAttributeImpl))
{
Arguments = new[] { new PermissionAuthorizationRequirement(permissions) };
}
private class RequiresPermissionAttributeImpl : Attribute, IAsyncResourceFilter
{
private readonly ILogger _logger;
private readonly IAuthorizationService _authService;
private readonly PermissionAuthorizationRequirement _permissionRequirement;
public RequiresPermissionAttributeImpl(Ilogger<RequiresPermissionAttribute> logger,
IAuthorizationService authService,
PermissionAuthorizationRequirement permissionRequirement)
{
_logger = logger;
_authService = authService;
_permissionRequirement = permissionRequirement;
}
public async Task OnResourceExecutionAsync(ResourceExecuting context,
ResourceExecutionDelegate next)
{
_logger.LogTrace("Executing RequiresPermissionAttributeImpl filter");
if (!await _authService.AuthorizeAsync(context.HttpContext.User,
context.ActionDescriptor.ToString(),
_permissionRequirement))
{
context.Result = new ChallengeResult();
}
else
{
await next();
}
}
}
}
}
If you read this carefully, you’ll see a couple of types that aren’t explained here.
PermissionAuthorizationRequirement
,
explained in the previous post, and PermissionAuthorizationHandler
, which I will explain here (and also can be
found on GitHub):
using System.Linq;
using System.Threading.Tasks;
using Microsoft.AspnetCore.Authorization;
using Microsoft.AspNetCore.Identity;
using Microsoft.Extensions.Logging;
using WebApplication.AspNetCore.Identity;
using WebApplication.Models;
namespace WebApplication.AspNetCore.Authorization
{
public class PermissionAuthorizationHandler
: AuthorizationHandler<PermissionAuthorizationRequirement>
{
private readonly ILogger _logger;
private readonly DemoUserManager<ApplicationUser> _userManager;
public PermissionAuthorizationHandler(Ilogger<PermissionAuthorizationHandler> logger,
DemoUserManager<ApplicatioNUser> userManager)
{
_logger = logger;
_userManager = userManager;
}
protected override async Task HandleRequirementAsync(AuthorizationHandlerContext context,
PermissionAuthorizationRequirement requirement)
{
var user = await _userManager.GetUserAsync(context.User);
var currentUserPermissions = await _userManager.GetUserPermissionsAsync(user);
var authorized = requirement.RequiredPermissions.AsParallel()
.All(rp => currentUserPermissions.Contains(rp));
if (authorized) context.Succeed(requirement);
}
}
}
There are yet more types here that need explanation, but we’ll be in the weeds really quickly if I try to explain everything
in detail. To summarize, I wrote a custom user manager so that I would be able to load permissions when I get a user from
the identity framework. Once I have a list of the current user’s permissions, it’s trivial to check to see if the required
ones are in the list. If the required permissions are found, then I mark the context as successful for this particular
requirement. This will cause the the call to _authService.AuthorizeAsync(...)
up above in
RequiresPermissionAttributeImpl.OnResourceExecutionAsync
to return true, which means authorization succeeded, and our
resource filter will allow the request to proceed through the action pipeline.
Notes about wiring things up in Startup.cs
One of the tricky things about getting ideas like this to work is connecting the pieces to the framework. It seems very complicated when you’re first learning it, but once you have a handle on it, it won’t seem so complicated.
Registering the custom UserManager for the Identity Framework
In the Startup
class, you’ll need to configure the Identity framework to use the custom UserManager
. In this case, it’s
done in ConfigureServices
:
public void ConfigureServices(IServiceCollection services)
{
// ...
services.AddIdentity<ApplicationUser>, IdentityRole>()
.AddEntityFrameworkStores<ApplicationDbContext>()
.AddUserManager<DemoUserManager<ApplicationUser>>() // <--- right here!
.AddDefaultTokenProvider();
// ...
}
Registering handlers for the custom authorization requirement
Just becauase you write a custom authorization requirement class doesn’t mean much of anything, even if you reference it in
the invocation to IAuthorizationService.AuthorizeAsync()
. You have to register a handler for it in the dependency
injection container so the IAuthorizationService
can look it up. It matches the requirement types for you, so all you have
to do is register the handler like anything else:
public void ConfigureServices(IServiceCollection services)
{
// ...
services.AddScoped<IAuthorizationHandler, PermissionAuthorizationHandler>();
// ...
}
If you’ll remember from above, the handler inherits from AuthorizationHandler<PermissionAuthorizationRequirement>
. It has
a generic type that matches the type of the requirement the handler handles, and the authorization service will match
handlers based on that generic type.
Wrap up
Of course, at this point the attribute can be used on a controller action:
[Authorize]
public class MyController : Controller
{
[RequiresPermission(Permissions.APermissionOfSomeKind)]
public IActionResult SomeAction()
{
// stuff
}
}
I hope this clears up some gaps I left in the last post, and certainly check out my sample code: trinityrepublic/demo-authorization;
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Gazzard
This page contains an index of all the individuals in the database with the surname of Gazzard. Selecting the person’s name will take you to that person’s individual page.
| Given Name | Birth | Death | Partner | Parents |
|---|---|---|---|---|
| Ada Caroline | 1870 | Gazzard, Job , Ellen | ||
| Albert Ernest | 1869-10-26 | 1965-07-05 | Adams, Marie Josephine | Gazzard, Moses Newling, Caroline |
| Albert Ernest | 1875 | Lynch, Mary B. | Gazzard, Simeon Bryan, Sarah | |
| Albert Joe | 1901 | 1972/3-04-30 (Julian) | Smithers, Lila E. E. | Gazzard, Albert Ernest Adams, Marie Josephine |
| Alfred | 1863 | Gazzard, Noah Wheeler, Hannah Sophia | ||
| Alice Emily | 1879 | Gazzard, Simeon Bryan, Sarah | ||
| Alice Maud Mary | 1866-09-24 | 1947-04-02 | Shuttleworth, Mark Hodgson (Draper) | Gazzard, Moses Newling, Caroline |
| Allan Barton | 1921-03-21 | 1993-09-01 | Gazzard, Reginald Cecil Barton, Florence Emily | |
| Alma Caroline | 1905 | about 1957 | Bloom, John William | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| Ambrose Arthur | 1864 | 1935-07-26 | Byron, Norah (Honora) | Gazzard, Moses Newling, Caroline |
| Amy Caroline | 1872 | 1953 | Cairns or Cairnes, Robert | Gazzard, Moses Newling, Caroline |
| Arthur E. | 1903 | 1935 | , Florence Jane | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| Arthur Simeon | 1877 | Gazzard, Simeon Bryan, Sarah | ||
| Asenath Caroline | 1906 | Weatherburn, Raymond Stanley | Gazzard, Albert Ernest Adams, Marie Josephine | |
| Barry John | ??, [Living] | Gazzard, Neville John Jones, Edna May | ||
| Burton Harry | 1870 | Gazzard, Simeon Bryan, Sarah | ||
| Claude Harold | 1896 | 1983-03-10 | Grady, Gwendoline M., , Lillie Ann | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| Daphne May | 1895-02-05 | 1973-01-17 | Spence, John | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa |
| Dianne R. | Hartman, [Living] | Gazzard, Neville John Jones, Edna May | ||
| Edna | ||||
| Edward | 1833-09-22 | Gazzard, Jacob Webb, Elizabeth | ||
| Edward John | about 1856 | Daniels, Ella ??? | Gazzard, Job , Ellen | |
| Elizabeth | 1862 | Gazzard, Job , Ellen | ||
| Elizabeth Mary | 1872 | Pedrotta, Hugh E. C. R. | Gazzard, Simeon Bryan, Sarah | |
| Ellen | 1859 | Gazzard, Job , Ellen | ||
| Elsie Annie | 1877 | Willis, Thomas James Barnett | Gazzard, Moses Newling, Caroline | |
| Emily | 1861 | 1878 | Gazzard, Job , Ellen | |
| Emma | 1864 | Gazzard, Job , Ellen | ||
| Emma | 1866 | Gazzard, Noah Wheeler, Hannah Sophia | ||
| Eric “Roy” | 1899 | 1976-10-04 | Lees, Mary Elizabeth | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| Esther May | 1881 | 1883 | Gazzard, Simeon Bryan, Sarah | |
| Esther"Essie” Stenhouse | 1900-08-07 | 1975-09-18 | Fyall, John Alexander | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa |
| Female Child | 1867 | 1867 | Gazzard, Job , Ellen | |
| Frederick Carl | 1892 | 1949-06-11 | Harvey, Gladys Ada | Gazzard, William Frederick Morten, Alice Mary |
| George | 1823-01-12 | 1891 | Gazzard, Jacob Webb, Elizabeth | |
| George | 1864 | 1864 | Gazzard, Simeon Thames, Mary | |
| George Ivo F. | 1889 | 1912-07-20 | Gazzard, William Frederick Morten, Alice Mary | |
| Gertrude Caroline | 1873 | Andrews, Albert | Gazzard, Simeon Bryan, Sarah | |
| Hannah | 1792 | 1866-01-05 | Nichols, George | Gazzard, Samuel & Mary Smith |
| Harold Henry “Harry” | 1884-08-21 | 1964-08-25 | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa | |
| Harold W | 1929-02-00 | 1931-05-01 | Gazzard, Reginald Cecil Barton, Florence Emily | |
| Helen Mary | about 1948 | Hardes, [Living] | Gazzard, Leonard William Crockett, Edna May | |
| Ivy Carrie Ianthe | 1888-07-02 | 1983-03-12 | Procter, George Micah | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa |
| Jacob | 1794 | 1880 | Webb, Elizabeth | Gazzard, Samuel & Mary Smith |
| Job | 1836-05-30 | 1875 | Horsnell, Elizabeth, , Ellen | Gazzard, Jacob Webb, Elizabeth |
| John | 1817-01-04 | died infant | Gazzard, Jacob Webb, Elizabeth | |
| John | 1834-04-06 | Gazzard, Jacob Webb, Elizabeth | ||
| John “Jack” Desmond | 1916 | 1973-02-02 | Newman, Irene Venita | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| John Alfred, (Railway Station Master) | 1857-06-28 | 1934-08-27 | Gray, Caroline Adeline Louisa | Gazzard, Moses Newling, Caroline |
| John Richard | 1861 | 1941-04-12 | ???, Alice Harriett | Gazzard, Simeon Thames, Mary |
| Leonard William | 1914 | 1971-12-05 | Crockett, Edna May | Gazzard, William Ambrose Morten Bowen, Mary "Molly" Clara |
| Leslie A. | 1897-02-01 | 1897-07-12 | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa | |
| Leslie Ambrose | 1886-03-31 | 1897-09-25 | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa | |
| Leslie Ambrose | 1909 | 1974-01-22 | Medwood, Edna Mary | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| Lydia R. | 1867 | Jones, Robert | Gazzard, Job Horsnell, Elizabeth | |
| Maria | 1826-05-22 | Gazzard, Jacob Webb, Elizabeth | ||
| Maria Alice (aka Mariah) | 1862 | 1933-03-30 | Hart, William Henry | Gazzard, Moses Newling, Caroline |
| Martha Ann | 1864-12-10 | Gazzard, Job Horsnell, Elizabeth | ||
| Mary | 1870 | 1870 | Gazzard, Job Horsnell, Elizabeth | |
| Millie Margaret | 1893-01-02 | 1985-11-03 | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa | |
| Moses | 1828-08-21 | 1901-01-18 | Newling, Caroline, Granleese, Mary Peisley (Widow) | Gazzard, Jacob Webb, Elizabeth |
| Nellie Alice | 1883 | 1908-03-25 | Gazzard, William Frederick Morten, Alice Mary | |
| Neville John | 1924-05-12 | Jones, Edna May | Gazzard, Reginald Cecil Barton, Florence Emily | |
| Noah | 1838-08-21 | 1912-02-02 | Wheeler, Hannah Sophia | Gazzard, Jacob Webb, Elizabeth |
| Norman Byron | 1914 | 1984-03-11 | Lawler, Beverly Eileen May | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| Reginald Cecil | 1890-07-01 | 1970-04-09 | Barton, Florence Emily | Gazzard, John Alfred (Railway Station Master) Gray, Caroline Adeline Louisa |
| Ruby M.J. | 1886 | 1969-12-14 | Davies, Harry A. | Gazzard, William Frederick Morten, Alice Mary |
| Samuel, & Mary Smith | ||||
| Simeon | 1831-10-22 | 1884 | Thames, Mary, Bryan, Sarah | Gazzard, Jacob Webb, Elizabeth |
| Thomas | 1821-03-27 | Gazzard, Jacob Webb, Elizabeth | ||
| Vincent Joseph “Joe” | 1907 | 1989-03-06 | Wheeler, Gweneth W. Matilda | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| William | 1818-11-01 | , Mary Anne | Gazzard, Jacob Webb, Elizabeth | |
| William Ambrose Morten | 1885 | 1947-06-19 | Bowen, Mary “Molly” Clara | Gazzard, William Frederick Morten, Alice Mary |
| William Ewart | 1912 | 1991-12-26 | Hudson, Sheila Veronica | Gazzard, Ambrose Arthur Byron, Norah (Honora) |
| William Frederick | 1859-08-14 | 1937-11-10 | Morten, Alice Mary | Gazzard, Moses Newling, Caroline |
| [Living] | Hart, Albert “Dick” Henry William | Gazzard, Reginald Cecil Barton, Florence Emily | ||
| [Living] | Hudson, Bernard Henry | Gazzard, Reginald Cecil Barton, Florence Emily | ||
| [Living] | Connellan, Michael Francis | Gazzard, William Ambrose Morten Bowen, Mary "Molly" Clara | ||
| [Living] | Gazzard, William Ambrose Morten Bowen, Mary "Molly" Clara | |||
| [Living] | Duffy, John George | Gazzard, William Ambrose Morten Bowen, Mary "Molly" Clara | ||
| [Living] | Gazzard, William Ambrose Morten Bowen, Mary "Molly" Clara | |||
| [Living] | Carroll, Neita | Gazzard, Frederick Carl Harvey, Gladys Ada | ||
| [Living] | Hazelton, Charles, Beaver, John Milton | Gazzard, Frederick Carl Harvey, Gladys Ada | ||
| [Living] | , Christine Margaret | Gazzard, Leonard William Crockett, Edna May | ||
| [Living] | Turton, Jill Elizabeth | Gazzard, Frederick Carl Harvey, Gladys Ada | ||
| [Living] | Gazzard, [Living] Turton, Jill Elizabeth | |||
| [Living] | Gazzard, [Living] Turton, Jill Elizabeth | |||
| [Living] | Gazzard, [Living] Carroll, Neita | |||
| [Living] | Gazzard, Arthur E. , Florence Jane | |||
| [Living] | Gazzard, Norman Byron Lawler, Beverly Eileen May | |||
| [Living] | Gazzard, John "Jack" Desmond Newman, Irene Venita | |||
| [Living] | Gazzard, Eric "Roy" Lees, Mary Elizabeth | |||
| [Living] | Gazzard, John "Jack" Desmond Newman, Irene Venita | |||
| [Living] | Gazzard, Leslie Ambrose Medwood, Edna Mary | |||
| [Living] | Gazzard, William Ewart Hudson, Sheila Veronica | |||
| [Living] | Gazzard, Arthur E. , Florence Jane | |||
| [Living] | Gazzard, Norman Byron Lawler, Beverly Eileen May | |||
| [Living] | Gazzard, William Ewart Hudson, Sheila Veronica | |||
| [Living] | Gazzard, William Ewart Hudson, Sheila Veronica |


Yesterday we made the decision to have our cat put to sleep. The vet found out that he had a tumor in his liver. He was put down yesterday and we burried him in the backyard.
I wanted to do something because he had been my cat for 12 years.  There was roughly 1/5th of the 1gram vial of 20x standardised extract left. When my family went to be I took a chair out to my garden where my cat was burried and readied my bong and Salvia.
I took a deep breath and then exhaled as much air from my lungs as possible and quickly put my mouth over the bong and set the flame to the salvia. I inhaled as much as I could and held it in. As usual there was no immediate effect but the effects slowly creeped in over about 15 seconds.  As I inhaled the second hit I could feel the familiar feeling of reality slipping away. I was sucked into the back of the deck chair as the darkness around me froze and seemed to break. When the suction stopped the deck chair folded and folded me along with it, I had the feeling of being constantly folded and that soon I would be a mere dot.
As a dot I began to travel without moving. I was going to a place that I can only describe as underground. I felt dirty as if I were in the soil but I couldn't see soil, I just had a filthy feeling. Slowy accelerating from the corner of my vision was a new place infront of me and I was soon encompased by it. I heard a flowing sound and I came to the conclusion that I was inside an eye because the world of different shades of yellow had begun to fracture with dark reds which pulsed in rhytym with the flowing sound.I assumed these were some sort of blood vessels.
It was then that everything seemed to intensify and I felt a great sense of foreboding and intrusion but this feeling slowly melted into warmth, like recieving a loving hug of acceptance which I had experienced before when taking the same salvia. The warmth of the hug branched out from me and formed what looked like a string of distorted eyes of different shades of yellow. I knew in my mind that these were the same as the eye that I was inside. They orbitted me at a constant speed.
I observed the percise and unchanging order of what was happening and realised that outside of the eye I was inside were a string of other eyes of the same size, orbitting around a larger eye and that this was infinite. I think I was being shown how everything is infinite or at least enegry is infinite and that my dead cat would be reabsorbed into the earth and become many other forms of life.
The warmth slowly fizzled until it was no longer warm but cold. Darkness returned except for one rectangular light in the top right of my vision. I turned my attention to this light and watched it for a few minutes before feeling a wetness on my torso. I was once again aware of my body and of my surroundings and I realised that the rectangular light was just the light coming from my neighbours window. The wetness was the bong I had spilled over myself.
This trip taught me that each form of life is equally as amazing as the next, a bacteria is just as amazing as a more complex organisim such as a human being. It was as if I was getting a lesson from my cat who throughout it's whole life could only comunicate in a different language but the language of pshychedelics is sometimes without words and can be understood globally.
In light of this, I went in the house began soaking some Heavenly Blues and I planted 23 of them today below the fence right next to his grave. That way there may be more insights to be had and my cat's body will directly nourish the plants.
Thank you for taking the time to reading this.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


|
NINJA
2.x
|
#include <TreeBuilderBinHeap.hpp>
Public Member Functions | |
| TreeBuilderBinHeap (std::string **names, int **distances, int namesSIze) | |
| ~TreeBuilderBinHeap () | |
| TreeNode ** | build () |
| Public Member Functions inherited from TreeBuilder | |
| TreeBuilder (std::string **names, int **distances, int namesSize) | |
| ~TreeBuilder () | |
Public Attributes | |
| int * | candidateCountPerLoop |
| Public Attributes inherited from TreeBuilder | |
| int | K |
Additional Inherited Members | |
| Static Public Attributes inherited from TreeBuilder | |
| static bool | distInMem = false |
| static bool | rebuildStepsConstant = false |
| static float | rebuildStepRatio = (float) 0.5 |
| static int | rebuildSteps = -1 |
| static int | candidateIters = 50 |
| static const int | clustCnt = 30 |
| static int | verbose = 1 |
| Protected Member Functions inherited from TreeBuilder | |
| void | finishMerging () |
| Protected Attributes inherited from TreeBuilder | |
| std::string ** | names |
| int ** | D |
| int * | R |
| TreeNode ** | nodes |
| int * | redirect |
| int * | nextActiveNode |
| int * | prevActiveNode |
| int | firstActiveNode |
| TreeBuilderBinHeap::TreeBuilderBinHeap | ( | std::string ** | names, |
| int ** | distances, | ||
| int | namesSIze | ||
| ) |
| TreeBuilderBinHeap::~TreeBuilderBinHeap | ( | ) |
| TreeNode ** TreeBuilderBinHeap::build | ( | ) |
| int* TreeBuilderBinHeap::candidateCountPerLoop |


Should you buy the Lenovo Yoga C940 or Surface Pro X?
by Rich EdmondsTraditional Performer
Lenovo Yoga C940
ARM'ed Surface
Microsoft Surface Pro X
Lenovo's Yoga C940 comes in 14- and 15-inch flavors, though if you want to kit it out with the most powerful components available to the 2-in-1, you'll want to go with the largest size.
Pros
- 10th Gen Intel CPUs available
- Beautiful 4K touch display option
- Soundbar hinge with full audio
- NVIDIA GTX 1650 GPU available
- Comfortable keyboard
Cons
- Heavier
- More pricey
The Surface Pro X is the new ARM kid on the block, rocking a custom Qualcomm and Microsoft CPU. You can't choose a dedicated GPU and you must buy the keyboard cover separately, but it's a stunning form factor with LTE.
Pros
- More affordable
- LTE as standard
- Up to 1TB storage
- Gorgeous design
- Seriosuly thin and light
Cons
- No dedicated GPU
- No Wi-Fi 6 connectivity
- ARM has some limitations
- No included pen or keyboard
Lenovo charges a premium for the Yoga C940, especially the 15-inch mode, which can not only house a powerful Intel Core i9 processor, but also a dedicated NVIDIA GPU. If you'd rather pick up a tablet with LTE, the Surface Pro X is a solid option for frequent travellers.
Lenovo Yoga C940 vs. Surface Pro X specs
| Yoga C940 | Surface Pro X | |
|---|---|---|
| Processor | 14-inch 10th Gen Intel Core i5-1035G4 Intel Core i7-1065G7 15-inch 9th Gen Intel Core i7-9750H Intel Core i9-9880H vPro |
Microsoft SQ1 |
| RAM | 14-inch 8GB LPDDR4x-3733MHz 16GB LPDDR4x-3733MHz 15-inch 12GB DDR4-2666MHz 16GB DDR4-2666MHz |
8GB LPDDR4x 16GB LPDDR4x |
| Storage | 256GB M.2 PCIe SSD 512GB M.2 PCIe SSD 1TB M.2 PCIe SSD 2TB M.2 PCIe SSD |
128GB M.2 PCIe SSD 256GB M.2 PCIe SSD 512GB M.2 PCIe SSD |
| Display size | 14 inches 15.6 inches |
13 inches |
| Display resolution | 1920x1080 (FHD) 3840x2160 (UHD) |
2880x1920 |
| Stylus | Active Pen included | Optional extra |
| Aspect ratio | 16:9 | 3:2 |
| Graphics | 14-inch Integrated Intel Iris Plus 15-inch NVIDIA GTX 1650 (4GB VRAM) |
Microsoft SQ1 Adreno 685 |
| Ports | 14-inch 2x Thunderbolt 3 1x USB-A 3.1 3.5mm audio 15-inch 2x Thunderbolt 3 1x USB-A 3.1 3.5mm audio |
2x USB-C Surface Connect nano SIM |
| Wireless | Intel 802.11AX (Wi-Fi 6) Intel 802.11AC Bluetooth 5.0 |
Intel 802.11AX (Wi-Fi 5) Bluetooth 5.0 |
| LTE | - | Qualcomm Snapdragon X24 LTE modem |
| Camera | Front-facing 720p | Front-facing 1080p Rear-facing 4K |
| Security | Fingerprint reader Webcam shutter |
IR camera |
| Battery | 14-inch 60Wh 15-inch 68Wh |
Up to 13 hours |
| Dimensions | 14-inch 12.61 x 8.54 x 0.57 - 0.61 inches (320.3mm x 215.6mm x 14.5 - 15.7mm) 15-inch 13.98 x 9.38 x 0.68 - 0.77 inches (355.2mm x 238.9mm x 17.5 - 19.7mm) |
11.3 x 8.2 x 0.28 inches (287mm x 208mm x 7.3mm) |
| Weight | 14-inch From 2.98 pounds (1.35kg) 15-inch From 4.41 pounds (2.0kg) |
From 1.7 pounds (774g) |
| Colors | Iron Grey Mica |
Matte Black |
Design & features
Unlike the Surface Pro 7, which saw no notable changes to its design compared to previous generations, Microsoft switched up the design of the Surface Pro X to tease what's to come for future Surface Pro hardware. The Pro X comes rocking a thinner chassis that's lighter than the high-end Surface Pro 7. You've still got the familiar kickstand on the rear, however.
While optional, the Type Cover for the Surface Pro X has a special holder for the Surface Slim Pen, which you'd also need to purchase as an additional accessory. The excellent rear webcam is capable of 4K video, while the front-facing IR cam is meant for calls and Windows Hello.
Both the 14- and 15-inch Yoga C940 from Lenovo are fairly similar to one another, and like the Surface Pro X rock a unibody aluminum design. Since these are more like laptops than tablets, you have a convertible hinge that allows you to rotate the display to enjoy tent, stand, and tablet modes. The hinge also houses a soundbar, which is a neat uses of space. There's no IR camera on the Yoga C940, but instead a fingerprint reader.
The Surface Pro X comes with two USB-C ports, but lacks USB-A and a 3.5mm headphone jack. A highlight feature of the Pro X is the ARM processor from Qualcomm, which has support for an LTE modem. This capability allows you to get connected when out of Wi-Fi range, so long as you have cell signal. The Yoga C940 wins in the ports department with the inclusion of two Thunderbolt 3, one USB-A 3.1, and a 3.5mm audio jack. That's not amazing, but does allow you to connect most of your hardware and accessories.
Display
For the display, the Surface Pro X comes with a touch display with a screen resolution of 2880x1920 (267 PPI) at a 3:2 aspect ratio. The 14-inch Lenovo Yoga C940 display comes in either FHD anti-glare with 400 nits brightness, FHD glossy with 400 nits brightness, FHD anti-glare with 500 nits brightness, or UHD 4K glossy with HDR400. For the best picture possible, you'll want to go with the 4K option, but keep in mind the price will rise, and battery life will drop accordingly.
If you're after a larger laptop, the 15.6-inch model comes with either a FHD or 4K display with HDR400 and Dolby Vision support. Both of these panels are glossy, but can throw out a lot of light with a rating of 500 nits. In either case, you're getting a beautiful display, but the larger model will make substantial productivity just a bit easier thanks to the increased screen real estate.
Performance & price
The Lenovo Yoga C940 is a powerful laptop and can be configured with a dedicated NVIDIA GTX 1650 GPU and up to a 9th Gen Intel Core i9 processor (15-inch only), or newer 10th Gen without the dedicated GPU (14-inch only). The ARM processor in the Surface Pro X isn't slow by any means and is often cmpared to an 8th Gen Intel Core i5 processor, but if you're all about intensive apps and tasks, you'll want to go with the Lenovo C940.
Because of the more capable hardware, the Yoga C940 costs considerably more than the Surface Pro X. While it does come with superior internals, the Surface Pro X is designed more for those who are frequently on the road. LTE and true portability often means more than outright performance. These two devices target two different user groups.
If you're on a tighter budget, the Surface Pro X starts from $999. The most affordable Lenovo Yoga C940 costs considerably more at $1,150.
The Yoga C940 is a more powerful 2-in-1 laptop
Lenovo's Yoga C940 is a pricey 2-in-1, but that's because you can configure it with some excellent hardware, including an Intel Core i9 processor as well as a dedicated NVIDIA GPU. The smaller 14-inch is a little more portable, but can keep up with any task you throw its way.
Traditional Performer
Lenovo Yoga C940
Premium 2-in-1 with poerful internals
The 14- and 15-inch Yoga C940 is more expensive, but you get more power in a traditional laptop chassis with the option for a few different modes.
Go with the Surface Pro X for better portability
The ARM-powered Surface Pro X won't match up performance-wise with the higher-end Yoga C940 models, but LTE connectivity, longer battery life, and a slimmer body make it easy to take with you wherever you go. A smart new storage system for a slimmer pen is an attractive addition, and two USB-C ports offer decent connectivity.
ARM'ed Surface
Microsoft Surface Pro X
Latest Surface with ARM
The Surface Pro X is Mcirosoft's latest attempt at creating a Surface tablet with an ARM processor. While the CPU is capable, it's no where near as capable as Intel 10th Gen CPUs and doesn't come with Wi-Fi 6 support.
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The following limitations have been observed while using OpenCOR on our supported platforms. They may apply to you, or not, depending on the platform you use and your specific circumstances.
Windows, Linux and OS X
- By default, OpenCOR uses your system's language for menus, dialog boxes, etc., as long as it is either English or French (please contact us if you would like OpenCOR to support other languages). If your system uses another language, then OpenCOR will default to English. Otherwise, if you specifically specify English or French, then please be aware that system messages, dialog boxes, etc. will still be displayed using your system's language (assuming it is not one of the languages supported by OpenCOR).
-
OpenCOR uses the CellML API, which is known to have the following limitations:
- It will crash OpenCOR if you try to export a CellML file to a user-defined format that is described in a file that contains valid, but unknown, XML.
- It may incorrectly (in)validate certain CellML files.
Windows
- OpenCOR's FileBrowserWindow plugin may, on some systems, result in OpenCOR being slow to respond at startup. This has nothing to do with OpenCOR, but most likely with a Windows shell add-on that is installed on your system. This page may help you address the issue, but if not then you might have to unselect the FileBrowserWindow plugin.
Linux
- Upon starting, the position of the main window may be slightly different from the one in your previous session. This is due to a lack of compliancy between window managers on Linux. So, if you can, try another window manager and see whether it makes any difference.


Planet Sick-Boy: http://www.sick-boy.com "We Put the SIN in Cinema"
© Copyright 2001 Planet Sick-Boy. All Rights Reserved.
This is from an actual conversation overheard at a promotional screening for Down to Earth:
PATRON: Do you know what this movie is about?
USHER: Which movie are you here to see?
PATRON: I don't know - the free one.
USHER: It's called Down to Earth.
PATRON: Oh.
USHER: Well, it's supposed to be a remake of Heaven Can Wait.
PATRON: No, I mean didn't Down to Earth come out last year?
USHER: I don't think so, lady.
PATRON: Sure it did. Wasn't that the one with Freddie Prinze, Jr. and Julia Stiles?
USHER: No, that was Down to You.
PATRON: Oh.
USHER: No, that was...shoot. I can't think of the name. It's right on the tip of my tongue.
PATRON: Yeah, that was the one, I think. She lived on a farm and fell in love with a rich guy.
USHER: Here on Earth! That's what it was. Here on Earth.
PATRON: Oh.
USHER:
PATRON: So who's in this movie?
USHER: Chris Rock.
PATRON: Oh, I just loved him in that movie with Jackie Chan.
USHER: No, that was Chris Tucker.
PATRON: Oh.
USHER: Chris Rock was in Nurse Betty and Dogma and Lethal Weapon 4.
PATRON: And the voice of the hamster in The Nutty Professor 2?
USHER: Yup.
PATRON: But he's the star of this one?
USHER: Yup.
PATRON: Oh.
Believe it or not, some people know who Chris Rock is, and some people will pay to see him on the big screen. Sure, Down to Earth is his first starring role (not counting the New Jack City spoof, CB4), and it's recycled from a script (Heaven Can Wait) that was a recycled script itself (Here Comes Mr. Jordan), but Rock is a very funny guy with a very funny talk show on HBO.
Rock plays Lance Barton, a bike messenger and struggling stand-up comedian from New York City. Lance's routine is awful, and he is called Booey by people familiar with his act. His dream is to win a highly coveted slot at the Apollo for the legendary theatre's last night before it closes up for good. It's amusing to watch Rock, a brilliant comedian, playing a character who bombs on stage (it's better than Seinfeld taking a dive to throw off Kenny Bania), but it's even funnier to watch the wiry actor ride a bike, and funnier yet to see his narrow head in a giant bike helmet.
The unintentional sight gag only lasts for a second, because Lance is hit by a truck and dies. Because of a clerical error in Heaven, Lance is given the chance to temporarily inhabit another person's body until a more suitable host can be located by his angels (Eugene Levy and Chazz Palminteri). He picks the corpse of Charles Wellington, the 15th richest man in America who, like his Heaven Can Wait counterpart, was poisoned by his wife (Jennifer Coolidge, Best in Show) and her lover (Greg Germann, Sweet November).
As an old, fat, white guy, Lance's racially charged act doesn't exactly play well with the brothers.  Don't worry - it all works out in the end. It's cute, predictable and sporadically funny.
Earth is rated PG-13, which means that Rock's trademark adult humor is completely absent. Rock without the F-word is like the Lakers without Shaq - sure, they're still going to win some of the time, but it's just not the same. There are only a few scenes where you see Rock's character in Wellington's body - thankfully, he doesn't don a fat suit like The Nutty Professor.
Speaking of The Nutty Professor, two of that film's screenwriters - Chris and Paul Weitz - directed Earth. They're probably better known by the unwashed masses for their teen sex romp, American Pie, but savvy moviegoers will recognize them from Chuck and Buck. The Weitz brothers use two actors from Pie here (Levy and Coolidge, who played Stifler's mom), as well as a number of performers from Rock's HBO show, including the immensely hysterical Wanda Sykes, who steals every scene she's in.
1:26 - PG-13 for language, sexual humor and some drug references
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Create a textual scenario file with a name that expresses the behaviour to verify, e.g. i_can_toggle_a_cell and define steps in it:
Given a 5 by 5 game When I toggle the cell at (2, 3) Then the grid should look like ..... ..... ..... ..X.. ..... When I toggle the cell at (2, 4) Then the grid should look like ..... ..... ..... ..X.. ..X.. When I toggle the cell at (2, 3) Then the grid should look like ..... ..... ..... ..... ..X..
Steps must start with one of the keywords highlighted (see Concepts for more details) and are not limited to a single line.
Define your Steps class, e.g. call it GridSteps, which will contain the Java methods that are mapped to the textual steps. The methods need to annotated with one of the JBehave annotations and the annotated value should contain a regex pattern that matches the textual step:
public class GridSteps extends Steps { private Game game; private StringRenderer renderer; @Given("a $width by $height game") public void theGameIsRunning(int width, int height) { game = new Game(width, height); renderer = new StringRenderer(); game.setObserver(renderer); } @When("I toggle the cell at ($column, $row)") public void iToggleTheCellAt(int column, int row) { game.toggleCellAt(column, row); } @Then("the grid should look like $grid") public void theGridShouldLookLike(String grid) { Ensure.ensureThat(renderer.asString(), CoreMatchers.equalTo(grid)); } }
Define your Scenario class with a name that can be mapped to the textual scenario filename, e.g. ICanToggleACell.java:
public class ICanToggleACell extends Scenario { public ICanToggleACell() { super(new GridSteps()); // varargs, can have lots of steps } }
The Scenario is now configured to use the GridSteps that hold the step mappings.
Open your favourite IDE, the ICanToggleACell.java class will allow itself to run as a JUnit test. Be sure to check that you have all the required dependencies in your classpath.


In ESC101, you were introduced to programming on the terminal. But now it depends on you, to explore the various things you can make by programming. In my case, I code for websites. And among other languages, I prefer PHP the most. Firstly because it is very simple to learn, and once you get introduced, you can start right away. Most of it's code looks exactly as C, and a lot is also similar to perl scripting language, which is also a familiar language for 2nd year CSE students. Another reason for me to like PHP is it has all the features I would like to possibly use any website I would like to develop. You might like to know that facebook.com is also coded in PHP.
Aunty, do you know I can make things that you enjoy on the internet? Actually there is a programming language called PHP, which makes the images appearing on your webpage interactive. There are other languages also for this purpose, but PHP is the easiest to learn for any beginner programmer.
You might have heard that these webpages are written in a markup language called HTML. You know, the PHP language I am talking about can be written in the form of HTML tags. In fact, PHP and HTML codes can be written in an intermingled fashion, giving you all the liberty to write anything anywhere.