0.Introduction
1.Starting a New Analysis - "New"
1.1.Counts Data and Experiment Type
1.2.Uploading Data
1.2.1.Loading Read Counts Table
1.2.2.Setting Experiment Design
1.2.3.Previewing Data Information
2.Quality Control of Data - "Data"
2.1.Introduction to Normalization, Data Exploration and Quality Control
2.2.Setting up
2.2.1.Setting Normalization Parameters
2.2.2.Customizing Visualization Figures and Tables
2.3.Interpreting Figures and Tables
2.3.1.Data Distribution
<IP_ADDRESS>.Sample Boxplot
<IP_ADDRESS>.Stacked Density Plot
<IP_ADDRESS>.Ratio Bar Plot
2.3.2.Sample Distance
<IP_ADDRESS>.Heatmap of Sample Distance
<IP_ADDRESS>Principal Component Analysis
<IP_ADDRESS>.Corrrelation Analysis
2.3.3.Gene Query
3.Differential Expression Gene Analysis - "Analysis
3.1.Introduction to Differential Expression Analysis
3.1.a.Class A: Negative Binomial Distribution
3.1.a.1.edgeR
3.1.a.2.deseq
3.1.b.Class B: Non Negative Biomial Distribution
3.1.b.1.NOISeq
3.1.b.2.SAMseq
3.1.b.3.PoissonSeq
3.2.Setting up
3.2.1.Selecting Package
3.2.2.Advanced Settings
3.3.Interpreting Figures and Tables
3.3.1.Common Visualization
<IP_ADDRESS>.MA-Plot
<IP_ADDRESS>.Normalized Size Factors
<IP_ADDRESS>.Volcano Plot
<IP_ADDRESS>.Heatmap of Differential Expressed Genes
<IP_ADDRESS>.FDR Distribution Plot
3.3.2.Package specified Visualization
<IP_ADDRESS>.Differential Genes Table (DESeq)
<IP_ADDRESS>.Variance Estimation (DESeq)
<IP_ADDRESS>.Differential Genes Table (edgeR)
<IP_ADDRESS>.Variance estimation (edgeR)
<IP_ADDRESS>.Differential Expression Analysis Result (NOISeq)
<IP_ADDRESS>.Differential Expression Analysis Result (PoissonSeq)
<IP_ADDRESS>.Power Curve (PoissonSeq)
<IP_ADDRESS>.Differential Expression Analysis Result (SAMSeq)
<IP_ADDRESS>.Fit Plots (SAMSeq)
3.4.Downloading Analysis Report
4.Integrative Analysis - "Integrate"
4.1.Introduction to Integrative Analysis of Genes
4.2.Setting up
4.2.1.Choosing Packages for Integrative Analysis
4.2.2.Customizing Visualization Figures and Tables
4.3.Interpreting Figures and Tables
4.3.1.Bar Plot of Feature Counts
4.3.2.Venn Plot of Differential Expression Genes
4.3.3.Feature Weight Table
4.4.Downloading Integrative Analysis Report
IDEA, full name as "Interactive Differential Expression Analyzer", is an online analysis and visualization platform for differential gene expression analysis of reads count data on foundation of R, Shiny and JavaScript. In IDEA, five R packages, DESeq, EdgeR, SAMSeq, PoissonSeq and NOISeq are provided for counts data analysis.
The function of this app is divided into "Data Exploration", "Analysis" and "Integrative Analysis" three modules. In "Data Exploration", the input data can be normalized, and several figures, such as PCA and Boxplot, are provided to reveal the characteristic of the data. These analyses can help to estimate the data quality. For "Analysis", the five packages are provided to estimate the differential expression of features. Certain tables and figures of each package can give a clear and visual result of the estimation. The last part "Integrative Analysis" synthesizes the results of each package and makes a comparison, providing an easier way to obtain the result of differential expression features.
This document is a step-by-step guidance and instruction of IDEA, and follows the order of operations.
In this module, users need to choose the experiment type and upload the data in specific format. Here we provide an example dataset. By clicking Example, you will see the data information of the example. The design matrix and count matrix data of the example is available for download on the second and third page in this module respectively.
Figure 1.1 Experiment Type Select Panel
For experiment types, IDEA can work with 3 kinds of experiment types: experiment with standard comparison, experiment of multi-factor design and experiment with no replicates (NOT RECOMMANED).
"Standard Comparison" supports experiments with only one factor, several conditions and several replicates (example shown in Table 2.1-1).
| Conditions | Replication 1 | Replication 2 | |||
| Factors | Viscera | Kidney | Liver | Kidney | Liver |
Table 2.1-1 Example of Standard Comparison
"Multi-factors Design" supports experiments with several factors, conditions and replicates (example shown in Table 2.1-2).
| Factors | Replication 1 | Replication 2 | |||
| Conditions | Viscera | Kidney | Liver | Kidney | Liver |
| Sex | Female | Male | Female | Male |
Table 2.1-2 Example of Multi-Factors Design
Without Replicates supports experiments with no biological replicates (example shown in Table 2.1-3). Not all methods are applicable to analyze the data without replicates, since it is necessary to assume the distribution form (negative binomial distribution or Poisson distribution) and the parameters based on empirical.
| Factors | Replication 1 | ||
| Conditions | Viscera | Kidney | Liver |
| Sex | Female |  Male  |
Table 1-3 Example of Without Replicates
The data matrix should be in .csv or .txt format, with genes as row and samples as column, and upload raw counts only.
If you check the "Header" box, the first row and column of the matrix will be considered the header by default. For "Separator", it is accessible to use either comma (,), semicolon (;) or tab (tabular). If your data has quote, choose the "Quote" option precisely, otherwise, choose "None".
Also, it is optional to input the "gene length file" with features names as column1 and the length as column2, the header and separator should be the same as the countable.
Figure 1.2.1-2 Data Uploading Panel
Figure 1.2.2 Interest Factor
The Data Information Table shows the read counts table uploaded earlier. The order of the table can be changed by clicking the header of the column. The number of the features shown on each page is also changeable on the top left.
Figure 1.2.3 Data Information Table
The "Data" module does the job of data normalization, data exploration and quality control.
The process of normalization attempts to settle the problem of various factors (nucleotide composition of genes, library preparation and sequencing platform etc.) which can bring bias into number of reads in RNA-Seq data. 3 methods are provided to normalize sample data (Table 2-1).
| Abbreviation | Full Name | Method Details |
| RPKM | Reads Per Kilo Base per Million Reads | Divide gene count by the total number of reads in each library or mapped reads |
| UQ | Upper Quartile | Sum gene counts up to the upper 25% quartile to normalize |
| TMM | Trimmed Mean of M | Compute a scaling factor as weighted means of log ratios between two experiments after excluding most expressed and genes that have large log ratios in expression |
Table 2.1 Abbreviation, full name and method details of normalization methods
In "Data", we provide 7 figures helping users analyze the quality of data, and the data distribution as well as sample distance can easily be seen through these figures. The detail of every figure is given below and a corresponding short tip is also provided on the app webpage.
hoose the normalization method on the panel before doing anything else. If normalization is unnecessary, choose "None".
Figure 2.1 Normalization Panel
Different figures and tables may have specific settings. See more options and instructions in particular charts.
Samples boxplot visualizes count distribution for all samples, showing features in expression distribution in each sample. It uses expression values as y-axis and samples as x-axis.
Figure <IP_ADDRESS> Expression distribution of all samples
Stacked density plot visualizes density distribution of genes with different reads count, showing overall condition of RNA-Seq data normalized (or not, as selected by user) expression value. It also enables interactive comparison of density distribution between groups. The x-axis is defined as logarithmic scale (base 10) of (normalized reads count + 1) to avoid NA values, and the y-axis is defined as density of calculated logarithm. Click the input box and all the samples will show for option.
Figure <IP_ADDRESS> Normalized expression level distribution for genes in selected samples
Ratio bar plot visualizes distribution of counts in each samples using stacked bar. Low counts may introduce noise and interfere extraction of differential expression of features. This plot groups genes in each sample by having more than 0 reads, or more than 1, 2, 5, 10 reads, and uses samples as x-axis, sensitivity (proportion of groups in each sample) as y-axis.
Figure <IP_ADDRESS> Ratio of genes with low counts for each sample
The heatmap of sample distance visualizes the Euclidean distance (see the formula below) between the samples which are calculated from the "regularized log transformation", and an overview of similarities between samples is given by this heatmap. In addition, the samples are hierarchically clustered represented with a dendrogram. The heatmap color can be changed on the panel.
The Euclidean distance is as:
Figure <IP_ADDRESS> Heatmap of sample distance
A principal component analysis (PCA) plot visualizes the affection of the first two principal components. It is drawn by scatter plot showing samples as dots, which are colored by their groups/conditions. Basically, PCA is for reducing the dimension of data. Here a 2-dimension eigenvector is generated using package FactoMineR. In the plot, x-axis and y-axis represent the first two principal components separately.
Figure <IP_ADDRESS> Principal Component Analysis (PCA) plot
With scatter plot, the correlation analysis visualizes feature expression correlation between two selected samples. Generally, samples from biological/technical replicates are likely to display high correlation, and samples from different conditions in experiment design usually give a poor correlation. Thus examining correlation between samples can give a hint of their relationship. To avoid NA, x-axis and y-axis are defined as: log10(NormalizedReadsCount+1)"Normalized Reads Count" stands for the normalized data of the uploaded data(or not, as selected by user).
Spearman's correlation is calculated by function cor in package stats. Each feature is visualized as a single black dot in figure. For selected two samples, Spearman correlation coefficient is calculated as:
Spearman's correlation coefficient is shown as digits on webpage in module of correlation analysis.
Figure 2-7 Scatter plot and correlation analysis between gene expression levels in R1L1Kidney and R1L2Liver
A histogram with error bar visualizes the comparison result of expression level of a certain gene, selected by user, in different condition. The x-axis stands for applicable conditions and y-axis stands for normalized reads (or not).
Figure 2.3.3 Expression level comparison of feature ENSG00000177757
The whole report of data and every chart can be downloaded on the panel.
In IDEA, we provide five methods for analyzing differential expression of genes. Here we simply introduce the basic feature of every method. Class A are the packages using negative binomial distribution as models and Class B are the packages using nonparametric method. The summary table is given below (Table 3-1).
edgeR adopts a quartile-adjusted conditional maximum likelihood estimator to determine overdispersion parameters in negative binomial distribution, which has improved performance than standard maximum likelihood estimator, especially when there are few replicates per condition. Dispersion parameters are later refined by adjusting towards a consensus value using cross-transcript information via empirical Bayes procedure. Differentially expressed genes are validated by an exact test to determine if read counts under different conditions fit the same negative binomial distribution.
DESeq takes all transcripts with similar expression values into consideration to determine overdispersion parameters in different conditions, assuming that overdispersion is related to mean read count. Differentially expressed genes are validated by an exact test between means of distribution parameters in two conditions for equality. In IDEA, DESeq has last updated to DESeq2 (1.6.2).
NOISeq takes both the log fold change and absolute difference of read counts between two conditions into consideration. All pairs of replicates are calculated to determine empirical distribution functions. Differentially expressed genes are identified by a small P-value in both the log fold change and the absolute difference in read counts.
SAMSeq carries out Wilcoxon test between transcript counts under two different conditions, followed by subsampling for normalization. To obtain significant differential expression, higher number of samples per condition is required.
PoissonSeq transforms read counts to fit into Poisson log-linear model, and then calculates the significance of differential expression between different conditions using a score statistic on model parameters.
| Package | Version | Normalization (default) | Model of Reads Count Distribution | Differential Expression Test | FDR Control | Standard Comparison | Multi-factor Design | Without Replicates |
| DESeq2 | 1.6.2 | sizeFactors | Negative binomial distribution | Wald test, LRT | Benjamini-Hochberg procedure | 1 | 1 | 1 |
| edgeR | 3.8.3 | TMM | Fisher's exact test | 1 | 1 | 1 | ||
| NOISeq | 2.8.0 | RPKM | Nonparametric method | P-value for empirical distributions | Not applicatable | 1 | 0 | 1 |
| PoissonSeq | 1.1.2 | Goodness-of-fit estimate | Poisson distribution | Score statistics | A permutation plug-in approach | 1 | 0 | 0 |
| SAMseq (samr) |
2.0 | Subsampling method | Nonparametric method | Wilcoxon test | 1 | 0 | 0 |
Table 3-1 Summary of package
[1] TMM: Trimmed Mean of M values
[2] RPKM: reads per kilo base per million mapped reads
Confirm your experiment type. The multi-factors design can only use DESeq2 and edger packages, the PoissonSeq or SAMseq is not available for experiment with no replicates.
Click the icon of one package and click , the charts of this package will show on the page.
Figure 3.2 Method Select Panel
The figures and tables lay out below are available in all the packages.
In MA-Plot, the data is been transformed onto the M (fold change or log ratio) and A (average expression of a gene) scale, which can give users a quick overview of the distribution of data. In IDEA, the log2–transformed fold change is plotted on the y-axis and the average count (normalized by size factors) is on the x-axis. The false discovery rate (FDR) threshold can be changed, and the genes are colored red if the adjusted p-value is less than the FDR, while other genes are colored blue.
Figure <IP_ADDRESS> MA-plot
Since different samples may have different sequencing depth, it is necessary to put every count value to a common scale in order to make them comparable. This work is done by estimating the relative size factors of each sample, then divide the samples by the size factors separately.
In the table, group represents conditions, lib.size represents size of the library, norm.factors is the normalized size factors. The number of rows of genes to view is changeable.
Table <IP_ADDRESS> Table of Normalized Size Factors
An overview of the number of differential expression genes can be shown in the volcano plot. Volcano plot is a scatter plot with log2-transformed fold change on the x-axis, and the y-axis represents the–log10-transformed p-value. The threshold of both axes can be changed. Highly differential expressed genes are colored blue, while others are in red.
Figure <IP_ADDRESS> Volcano Plot
By using a color scale, heatmap can display the expression values of the genes, and every rectangle represents one gene – sample pair. By default, we display the 30 most highly expressed genes and his number is changeable. In this heatmap, features are arranged in columns (samples) and rows (genes) as in the original data matrix. The color represents the log2-transformed RPKM+1.
Figure <IP_ADDRESS> Heatmap of differential expression genes
FDR distribution plot visualizes distribution of FDR or P-value in differential expression test provided in analysis packages using histogram plot. It uses FDR or P-value as x-axis and percentage of different groups of x value as y-axis, and colors significant and not significant groups differently. Additionally, NOISeq doesn't have FDR distribution plot.
Figure <IP_ADDRESS> FDR Distribution Plot
The interpretation of the columns is shown in the table.
| Headers | Implication |
| GeneID | Gene identifier |
| baseMean | Mean over all rows |
| log2FoldChange | Logarithm (to basis 2) of the fold change |
| lfcSE | Standard Error of log2foldchange |
| stat | Wald statistic[1] / LRT statistic [2] |
| pvalue | Wald test p-value |
| padj | p value adjusted for multiple testing with the Benjamini-Hochberg procedure |
Table 3-3 Interpretation of Differential Genes Table in DESeq
[1] Wald test: a parametric test which can be used to test the veracity of the parameter in an estimated model
[2] LRT (Likelihood Ratio Test): a statistical test based on likelihood ratio, and can be used to find an appropriate model.
The variance estimation is a very important step of quality assessment. Usually this estimation has 3 steps: estimating the gene dispersion value; using the value to fit a curve; giving a dispersion value to each gene from either estimation or fitted value.
The dispersion estimates plot is for checking the result of dispersion estimates adjustment. The gene-wise estimates are in black, the fitted estimates are in red, and the final estimates are in blue. The outliers of gene-wise estimates are marked with blue circles. The points lying on the bottom indicates they have a dispersion of practically zero or exactly zero. This plot has mean of normalized counts as x-axis and dispersion as y-axis.
Figure <IP_ADDRESS> Dispersion estimates plot in DESeq2 analysis
The interpretation of the columns is shown in the table.
| Headers | Implication |
| GeneID | Gene identifier |
| logFC | Logarithm (to basis 2) of the fold change |
| logCPM | Average log2-counts-per-million |
| Pvalue | Two sided P-value |
| FDR | False discovery rate |
Table <IP_ADDRESS> Interpretation of Differential Genes Table in edgeR
In edgeR, the qCML(quantile-adjusted conditional maximum likelihood) is used to estimate the dispersion of single factor experiment analysis, since it is suitable for the data with many small samples and a common dispersion. The tag-wise (gene-wise) negative binominal estimation is done by empirical Bayes and the common dispersion is estimated by conditional common likelihood.
The variance estimation plot has average log CPM (counts per million) as x-axis and biological coefficient variation as y-axis. The red dots represent the common dispersion and the black dots represent the tag-wise (gene-wise) dispersion.
Figure <IP_ADDRESS> Variance estimation plot in edgeR
The interpretation of the columns is shown in the table.
| Headers | Implication |
| Gename | Gene identifier |
| Mean | Mean of this condition |
| Theta | Differential expression statistics |
| Prob | Probability of differential expression |
| Log2FC | Logarithm (to basis 2) of the fold change |
Table <IP_ADDRESS> Interpretation of Differential Expression Analysis Table in NOISeq
The interpretation of the columns is shown in the table.
| Headers | Implication |
| GeneNames | Gene names |
| tt | The score statistics of the genes |
| Pvalue | Permutation-based p-values of the genes |
| Padjust | |
| logFC | Estimated log fold change of the genes |
Table <IP_ADDRESS> Interpretation of Differential Expression Analysis Table in PoissonSeq
Figure 3-8 Power Curve of PoissonSeq
The interpretation of the columns is shown in the table.
| Headers | Implication |
| Gene.Name | Gene names |
| Score.d | The T-statistic[1] value |
| Fold.Change | The ratio of the two compared value |
| q.value | the lowest FDR at which that gene is called significant |
Table <IP_ADDRESS> Interpretation of Differential Expression Analysis Table in SAMSeq
[1] T-statistic: A method used to test coefficient, which is the ratio of the coefficient to the standard error.
The fit plot, also called the SAM plot in SAMSeq, is a scatter plot with dots representing genes. In SAM, the Cox model score test of every gene is counted. The positive significant genes, which means the genes has higher expression correlates with higher risk, are in red, and negative significant genes are in green, while others are in black. The expected score is plotted on the x-axis and observed score is on the y-axis.
Figure <IP_ADDRESS> Fit Plot in SAMSeq
The markdown files of every package are provided as the analysis report and can be downloaded on the panel. Notice that each package will generate the specific report.
Also, the differential genes table (CSV format) can be downloaded separate from other charts by "Dwnload csv-file".
Figure 3.4 Download Panel in Analysis Module
"Integrate" module provides a collection and comparison of the prior using packages. Figures like Venn and bar plot give an intuitive impression of the different result made by each package. We also define a new argument called R-value to synthesis the results of differential expression features from these packages.
This plot shows a comparison of the number of differential expression features identified by each package. The different of the results are caused the differences of the algorithm of these packages. The counts of features are plotted on the y-axis and each bar represents one package.
Figure 4.3.1 Bar Plot of Differential Expression Features by Each Package
The Venn diagram visualizes the overlapping differential expression features identified by each package. In the diagram, each oval represents one package, and the number shown in the diagram means the number of differential expression features. The number situated at the overlapping part means this many features are identified by all the packages which forming the overlap. You may change the package number shown in the diagram on the advanced option panel and get a clear view.
Figure 4.3.2 Venn Plot of Differential Expression Features Analysis by Each Packge
This table shows the identification details of every feature, and the order of the table may changed by clicking any names on the first line. The number of features shown in one page can be changed on top left.
The interpretation of some columns is shown in the table.
| Headers | Implication |
| FeatureID | Feature identifier |
| Mean | Mean of expression |
| LogFC | Logarithm of the fold change |
| Rankmean | Mean rank of the five packages |
| Rvalue | =log(mean*abs(FoldChange)/rankmean+1) |
Table <IP_ADDRESS> Interpretation of Differential Expression Analysis Table in SAMSeq
As other modules, the report of "Integrate" is also available for download. The CSV format result is the result of the "Feature Weight Table".
Figure 4.4 Download Panel


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This system put together by the Issaquah Robotics Society uses 6 tablets networked to a central laptop to collect data. Each tablet has a custom android app and is set to follow a single robot. Scouters will press buttons for different actions on the field, which send real time data to the server through http. The server then inputs the data to a PostgreSQL server.
The current plan for the next season is to smooth out operation of the system so it can be run by anyone, without any console commands or special setup, as well as to add more integrated data viewing to the server website.
I ended up also making a console based attendance system for the team. It uses a unique, hidden, numerical code for each member so we use our student ids. We have a barcode scanner that enters in the number, and if it is a new one it prompts for a name. It saves that data in a small, relatively encrypted file and makes a csv sheet with the times. Download exe here.


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Evo Learning
Reinforcement Learning library for C#
I used it in World War IX for implementing an AI that would test the game all by itself.
Technical Details #
It uses a very simple implemeantion of feedforward neural networks that I implemented from scratch. It evolves by applying some evolutionary algorithms depending on the choosed fitness function.
It was a fun project that I did to put in practice some of the deep learning things I was studying. It is not meant to be used in production code in this stage.
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Telford petrol station store in expansion plan
by Alex MooreA petrol station shop could be demolished and replaced with a bigger store, if plans are approved.
The Walkers Clock Service Station, Donnington, currently houses a 146-square-metre Londis store.
Motor Fuel Group Ltd have applied to demolish it and replace it with a shop that is 70 per cent bigger and, they say, “modern, attractive and uncluttered” and “clear and more welcoming”.
Donnington and Muxton Parish Council will be consulted, and Telford and Wrekin Council’s planning department will consider the company’s application at a later date.
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The St Albans-based company’s application includes raising that to 14, with two disabled spaces.
A design statement, submitted by Wyeth Project Services Ltd on behalf of Motor Fuel Group, says: “The existing site comprises a petrol filling station with shop located to the far south of the site with a ‘four square’ forecourt arrangement providing a total of eight refuelling points with canopy cover.
“The proposal is to demolish the existing sales building and jet wash and to erect a replacement sales building with associated forecourt improvements.
“Within the replacement shop there will be a small food-to-go offer which will operate as a sandwich bar.”
The junction leading from New Trench Road into the site will be entrance-only, while the Donnington Wood Way opening will allow entry and exit.
The proposed enlarged shop building would be 249 sq m, an increase of 103 sq m larger than the current store. The plans also include reducing the size of the forecourt canopy.


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Am going to try a Bard/WM for a potential tank build for a PW.
Should I go for RDD levels or F levels to achieve that purpose?
With RDD I get some immunities and 8 STR (which amounts to, what, about 4 extra AB/Damage, right?).
With Fighter levels I get more AB and extra feats. And Epic Weapon Specialization which would give me 6 extra damage. Which I think would essentially be like having an extra 12 STR, right?
Though with RDD levels and a 2H weapon I would still get better damage (with the extra STR and the 1.5X damage from the STR bonus, correct?)


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Helper structure to represent a XFile frame.
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Helper structure to represent a XFile frame.
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◆ mTrafoMatrix
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SAVING PRIVATE RYAN A film review by Matt Williams
RATING: * * * * out of * * * *
Spielberg has done it again. He revisits his familiar stomping grounds of World War II to deliver his latest masterpiece. This time, he tackles the war itself, delivering a vivid portrait of modern warfare from the common soldier's point of view.
Set during the invasion of Normandy, and in the days which follow, Saving Private Ryan tracks the mission of the 2nd Ranger Battalion of the 29th Infantry Division. Led by Captain John Miller (Tom Hanks), seven of his surviving men are given an unusual mission: to locate a soldier, missing behind enemy lines, and send him home.
Within days, three brothers of the Ryan family were all killed in combat, and a fourth, Private James Ryan, has gone missing somewhere around Normandy. To ease the suffering of the boys' mother (and to avoid a public relations fiasco), the top brass want Private Ryan found and sent home.
In the squad sent to find him, there is trusty Sergeant Horvath (Tom Sizemore), who lends a needed ear to the captain, and keeps the men in line. Pvt. Reiben (Edward Burns) is the chief griper of the group. Pvt. Caparzo (Vin Diesel) also has doubts. Sharpshooter Pvt. Jackson (Barry Pepper) places his faith in God and his gun. Pvt. Mellish (Adam Goldberg) is a Jewish soldier who has a personal stake in the war. Wade (Giovanni Ribisi) is a medic, frustrated by the hopelessness of his task during wartime. Rounding out the group is Cpl. Upham (Jeremy Davies), a meek mapmaker who's never seen combat, but speaks fluent French and German.
A lot has been said of the violence in the film. While not the goriest film around, people expecting a traditional Steven Spielberg or Tom Hanks film should prepare themselves for the extremely graphic scenes. Unlike most movie violence, the violence here comes coupled with considerable emotional impact.
The extended battle sequences are some of the most powerful moments ever put on film. From the very start, you can barely breathe as the action unfolds on the screen. Using discomforting handheld shots, various film speeds, and ample use of surround sound, the result is terrifyingly realistic.
The story of Saving Private Ryan has been very well structured. It begins by delivering grief at a personal level: that of Mrs. Ryan, confronted with the loss of three of her sons (and the possible loss of her fourth). However, from that initial shock, the audience is able to grasp the emotional impact of any and every soldier losing his life. The results are staggering.
The film raises no judgments about the war itself. These aren't men disillusioned in the cause, but they are frustrated in that they are placed in jeopardy for what seems like a purely public-relations stunt. All they really want it to help quickly end the war and get home. Why should Pvt. Ryan be the lucky one...all of these men have mothers and loved ones who would grieve for them?
Tom Hanks delivers a strong performance, which, while not his best, is certainly among them. He has to rationalize the potential and actual loss of every man under his command, and to keep himself from cracking under the considerable pressure. Hanks' everyman persona helps to draw in the audience with a sense of familiarity amid the chaos.
There are a few cameos placed here and there (Matt Damon pops up as a soldier encountered by the squad), but most of the actors in the film are portrayed by relative unknowns. This actually works out well, adding an element of uncertainty (particularly in the early scenes, when you're truly unsure of who is going to survive that first reel). However, the entire squad gives memorable performances, and it is difficult to single one or two actors out above the others. Tom Sizemore is debatedly the best of the bunch, but it is a close call.
It would be difficult to say that this is Spielberg's best film (considering his remarkable filmography). But it is certainly among his best...and one of the best films of this decade.
Copyright 1998 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of over 500 reviews, and information on over 600 upcoming releases
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| Recorded Crime Offences (Number) by Garda Station, Type of Offence and Year |
|||||||
|---|---|---|---|---|---|---|---|
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | ||
| Mountjoy, D.M.R. North Central Division | 03 ,Attempts/threats to murder, assaults, harassments and related offences | 184 | 173 | 181 | 229 | 211 | 176 |
| 06 ,Robbery, extortion and hijacking offences | 80 | 92 | 77 | 72 | 49 | 35 | |
| 07 ,Burglary and related offences | 324 | 279 | 268 | 281 | 225 | 285 | |
| 08 ,Theft and related offences | 893 | 911 | 996 | 891 | 856 | 869 | |
| See Background Notes |


12.04 - Ubuntu/Linux Audio Skipping/Stuttering
12.04 - Ubuntu/Linux Audio Skipping/Stuttering
I recently built a new machine for work and was having a lot of issues with audio (on linux, what a shock ;)). I’d read up on some different fixes and none of them seemed to fix the issues I was having with my system. After about a week of woes and a lack of music I decided to open up the box and swap the audio cable from HD to AC97 just to see if it might fix the issue. Low and behold audio plays fine without issue using the older standard. I don’t reap the benefits of HD audio, but not being an audiophile and working with middle of the road headphones I can’t tell a difference anyways.
So just a heads up, if software can’t fix your skipping audio, maybe give your hardware a try.
Published
07 May 2012


Hello world! This is init.
init is an HTML-framework based on HTML5 Boilerplate adding more
flexibility and an automation process to it. It requires you to
work with grunt, Sass, requireJS, bower. You can find more
information about the usage in the documentation found in the
docs/
folder.


{% load static %}
CONFIRMATION
Your Membership is pending
Please use Membership number as reference
Your order is pending as we await your cash deposit.
Membership number
Shipping address
XXXXXXXXX
{% for address in addresses%} {% if address.address_number == 'shipping'%} {{address.address_street_name}}Billing address
{{user.first_name}} {{user.last_name}}
{% for address in addresses%} {% if address.address_number == 'mailing'%} {{address.address_street_name}}Payment Method
Cash deposit
Order summary
Sub Total
VAT
Discount
R {{total}}
R {{tax}}
R 0.00
Order Total
R {{allTot}}
Please note that delivery is note included
We suggest you print a copy of this page for your records Click here to Print This Page


---
title: Sheldon's favorite linux based operating system
date: '2010-05-21T09:38:00.005+08:00'
author: Teng-Chieh Kang
tags:
- Ubuntu
modified_time: '2010-05-21T18:46:32.466+08:00'
blogger_id: tag:blogger.com,1999:blog-2031747454610917099.post-4863235627079461835
blogger_orig_url: http://q-and-g.blogspot.com/2010/05/sheldons-favorite-linux-based-operating.html
---
http://www.youtube.com/watch?v=G1-Q_8EbB8A
BY the way, he hates Windows 7 more than Vista.


This class provides a text editor specialized for editing
makefiles.
It is invoked automatically when opening any file with the
name makefile
, Makefile
, or any file with the
.mk
extension or
.vc
extension in its name.
The EditMake class is derived from the
EditProgram class, and
therefore inherits all of its features.
It provides additional features
for editing Makefile
source code.
It colors variables, referenced variables, includes, and rules.
It disables the indenting features of the base class, so
tabs are inserted by using the Tab
key, as normal.
In the Special
menu, the Generate VC Makefile
menu choice will create a
Microsoft Visual C++ format
nmake
file.
Note that the conversion process is not perfect,
but some of the common tasks, such as conversion to
DOS style pathnames, are handled.


99_denjoy___.py
from functools import lru_cache
import math
class Solution:
def getProbability(self, balls: List[int]) -> float:
numchoices = math.factorial(sum(b for b in balls))
for b in balls:
numchoices //= math.factorial(b)
# print(f"numchoices = {numchoices}")
numgood = 0
# After that we add the first two balls to the first box and the second two balls to the second box.
#We can see that 8 of these 12 possible random distributions have the same number of distinct colors of balls in # each box.
# [1,1 / 2,3], [1,1 / 3,2], [1,2 / 1,3], [1,2 / 3,1], [1,3 / 1,2], [1,3 / 2,1], [2,1 / 1,3],
# [2,1 / 3,1], [2,3 / 1,1], [3,1 / 1,2], [3,1 / 2,1], [3,2 / 1,1]
def getnum(B):
num = math.factorial(sum(b for b in B))
for b in B:
num //= math.factorial(b)
return num
box1, box2 = [0 for _ in range(len(balls))], [0 for _ in range(len(balls))]
def dfs(i):
nonlocal numchoices, numgood
if i == len(balls):
if sum(box1) == sum(box2):
# numchoices += 1
a = sum(1 for i in range(len(box1)) if box1[i] > 0)
b = sum(1 for i in range(len(box2)) if box2[i] > 0)
if a == b:
# print(f"box1 = {box1}")
# print(f"box2 = {box2}")
# print("---")
# numgood += (math.factorial(a)*math.factorial(b))
numgood += (getnum(box1)*getnum(box2))
return
for x in range(balls[i]+1):
box1[i], box2[i] = x, balls[i] - x
dfs(i + 1)
box1[i], box2[i] = 0, 0
dfs(0)
# print(numgood, numchoices)
# print(f"~~~~")
return numgood/numchoices


Previous | Contents | Index | Next
You have a grid of coloured squares, which you have to clear by highlighting contiguous regions of more than one coloured square; the larger the region you highlight, the more points you get (and the faster you clear the arena).
If you clear the grid you win. If you end up with nothing but single squares (i.e., there are no more clickable regions left) you lose.
Removing a region causes the rest of the grid to shuffle up: blocks that are suspended will fall down (first), and then empty columns are filled from the right.
Same Game was contributed to this collection by James Harvey.
On Android, please touch for left click and long press for right click. Also note that where this manual refers to pressing a letter on the keyboard, the Android version has icons at the bottom of the screen instead (Control and Shift are not available). There is also an optional "Night mode" which uses darker colours in low light.
This game can be played with either the keyboard or the mouse.
If you left-click an unselected region, it becomes selected (possibly clearing the current selection).
If you left-click the selected region, it will be removed (and the rest of the grid shuffled immediately).
If you right-click the selected region, it will be unselected.
The cursor keys move a cursor around the grid. Pressing the Space or Enter keys while the cursor is in an unselected region selects it; pressing Space or Enter again removes it as above.
(All the actions described in section 2.1 are also available.)
These parameters are available from the ‘Custom...’ option on the ‘Type’ menu.
If you turn it off, the game generator will not try to guarantee soluble grids; it will, however, still ensure that there are at least 2 squares of each colour on the grid at the start (since a grid with exactly one square of a given colour is definitely insoluble). Grids generated with this option disabled may contain more large areas of contiguous colour, leading to opportunities for higher scores; they can also take less time to generate.


Travelling and Adventure
I love to travel but am yet to get to Mombasa
Sporting Activities
I love to watch footbal with my friend i am a Chelsea die hard fan my favourite moment is when we won the Champions league and Khai Haverts goal was Superb!
Music & Entertainment
I love to listen music since it motivates me and keeps me going since its said that is healthy for the soul.
Kenyan
- Kiumo na uoi By Kijana Mumo Happen to be one of my favourite song since it keep me connected to the roots and carries a ton of message
- Coming Home By sauti Solthe song carry's sad but true emotional story in the contemporary society.
- ACHUU By MATATA ft STL Stella Mwangi This song bring a good vibe each time
- Luku By Khaligraph Jones Sings about fashion and looking good
International
Reading


The ball is going to move to any random corner of the octagonal screen. You have to move the pointer head in the same corner and follow the movement of
the ball continuously. Don't miss or move the pointer head to the wrong corner before the next movement of ball. GOOD LUCK


Activities and Awards:
Head Co-ordinator of Convergence: A national level techfest in Ganpat University
Organized a Panel Discussion among startup founders and CEO's
Writer at Lifehack.org
Project Idea selected as most Innovative Project and got selected for funding from university.
Direct YouTube channel regarding computer science topics- recorded, edited and produced videos and material:
Techspot101
2nd Rank in Google Hunt competition & 4th in Clipex, National level Tech-Fest in Ganpat University
1st Prize in Technical Quiz, 2nd in Non-Technical Quiz, held in college on Engineer's day.
3rd Rank in elocution competition
Certifications:
Microsoft: Microsoft Azure camp
Microsoft Virtual Academy: C++
Microsoft Virtual Academy: Software Development Fundamentals
IIT Bombay: Cloud Computing
IIT Bombay: Web Development
IIT Delhi and National Network Security Championship: Network Implementation and Security
Alison: Diploma in psychology
R language course on codeschool.com
Udemy: Introduction to Python Programming
Udemy: SEO fundamentals
Udemy: Logo Designing Essentials
Grades:
Presentations:
Difference between Single core, Dual core and Quad core processor?
How does torrent work?


Welcome to Rep-Finder!
Type in your zip code below and find who your representatives are for your location.
Steven is a student at Codefellows, aiming to learn full stack javascript. In his spare time, he enjoys skiing, golf, and watching interesting shows on netflix. He has a BBA from Pacific Lutheran University in Tacoma, and was a Aviation Precision Measurement Equipment Calibration and Repair Technician in the USMC.
2015 graduate of Henry M Jackson High School, Austin is a general computer and video game nerd with an incredible interest in programming. He can generally be found playing Pokemon or Fire Emblem games in his spare time.
After graduating high school in Los Angeles, CA, Luis joined the Air Force where he worked as a meteorologist. He became fascinated with meteorological models and the technology involved. Seeing this interest, his supervisor suggested he take over the technical aspects of his squadron and from then on, his main interest has been coding. He also likes table tennis, golden retrievers and studying languages.
Hello my name is David Cole and I am from Seattle though I have lived all around the country. I have been working in the music industry for 15 years and if there is one thing that I have learned from my experiences is that there are no guaranties that you will have a job tomorrow. That is why I have chosen to become a web developer. The tech-industry is the fastest growing industry in America and web development is the new 'factory job' as in you can live comfortably off the wages and your career will not become obsolete any time soon. Being a web developer will change my life for the better and that's all I can ask.


Med Shaaban
Front-end Developer
Portfolio
About
Contact
Eslam Qaddah
Go to the distance workshop 1
Go to the distance workshop 2
M&D Wedding Card


Axelrod: Biden Is 'Kind of Mr. Magooing His Way Through' | Breitbart
by Ian HanchettDuring CNN’s debate coverage on Wednesday, CNN Senior Political Commentator David Axelrod stated that 2020 Democratic presidential candidate former Vice President Joe Biden is “kind of Mr. Magooing his way through” the debates, but “is moving forward.”
Axelrod said, “Biden, I wouldn’t say that he was a house on fire in any of the debates that we’ve been to. And yet, he comes — kind of bumps along, kind of Mr. Magooing his way through this. And you keep worrying that he’s going to hit a wall, but he is moving forward.”
Follow Ian Hanchett on Twitter @IanHanchett


{% extends "_page.html" %}
{% block intro %}
Loops in the three languages.
{% endblock %}
{% block description %}
Loops in C++ and Java are essentially the same. Rust uses the keyword in for use in
for loops.
The keyword loop is also introduced for occations where the
code will break inside of the loop after some condition is fulfilled.
{% endblock %}


And I'm a
this code is not belong to the portfolio
this code is not belong to the portfolio
this code is not belong to the portfolio
this code is not belong to the portfolio
this code is not belong to the portfolio
this code is not belong to the portfolio


Set up the Feathers SDK in IntelliJ IDEA
Let's get your IntelliJ IDEA development environment ready to use the Feathers SDK.
Add the Feathers SDK to IntelliJ IDEA
Install the Feathers SDK somewhere on your computer.
In IntelliJ IDEA, select the File menu → Project Structure.... A new window will open.
Under Platform Settings, select SDKs.
Press the button with the + (plus) symbol and select Flex/AIR SDK.
Choose the folder where you installed the Feathers SDK.
Create a file template for a new Feathers Component
Next, we're going to create a custom template for new Feathers MXML files. The default Flex 4 Component template provided by IntelliJ IDEA works decently with Feathers components, but we can make a new one that works a bit better.
Open the IntelliJ IDEA preferences on Mac OS X by going to the IntelliJ IDEA menu → Preferences. On Windows, select the File menu → Settings....
Expand the Editor node on the list to the left of the preferences window, and select File and Code Templates.
Click the button with the + (plus) symbol to create a new template.
Enter
Feathers Component
for the Name andmxml
for the Extension. Then, enter the following code for the template:<?xml version="1.0"?> <${Superclass} xmlns:f="library://ns.feathersui.com/mxml" xmlns:fx="http://ns.adobe.com/mxml/2009"> </${Superclass}>
Click OK to save the new template.
To use this template at any time, choose the File menu → New → MXML Component. In the new window's Template drop-down, choose Feathers Component.
How to create a new module for a Feathers SDK application
Select the File menu → New → Module.... A new window will open to customize the module's settings.
Select the Flash module type from the list on the left.
On the right, select the approporite Target platform (Web, Desktop, or Mobile).
Uncheck Pure ActionScript, if it is checked.
For Output type, select Application.
In the Flex/AIR SDK drop-down, select the Feathers SDK that we installed earlier.
Uncheck Create sample app. The new module wizard in IntelliJ IDEA uses a template for Flex that we cannot customize. We'll create the main MXML application file in a later step.
Click Next.
In the next section, enter the Module name. The default Content root and Module file location are usually okay. Click Finish.
Next, we will create the main application MXML file. Select the src directory in the new module. Then, select the File menu → New → MXML Component. A new window will open to customize the new component.
Enter the Name of the main application class.
Leave the Package blank.
In the Template drop-down, select the Feathers Component template that we added earlier.
For Parent Component, start typing
Application
and choose feathers.core.Application.Click the Create button.
Now, we need to tell the module to use this new MXML file as its main class. Select the File menu → Project Structure. A new window will open. Under Project Settings choose Modules. Expand the new module in the tree, and select the default build configuration with the module's name. In the Main class field, type in the name of the MXML file that we just created.
Don't close the Project Structure window yet. We'll need it open in the next step.
IntelliJ IDEA has a bug where we can reference Feathers SDK components in ActionScript, but the editor shows errors in MXML. Thankfully, we can manually add the SWC files in the Feathers SDK to our module's dependencies as a workaround. With the module still selected in the Project Structure window, navigate to the Dependencies tab.
Press the button with the + (plus) symbol and select New Library. Navigate to the directory where we installed the Feathers SDK. Then, add the frameworks/libs directory as a new library (but don't include the frameworks/libs/air or frameworks/libs/player directories!). This will add the required SWC files to the module.
If the module is an AIR application, don't close the Project Structure window yet. We'll need it open in the next step. If the module is a Flash Player application, click OK to save all of our changes. This will close the Project Structure window.
Follow this step if the module targets Adobe AIR. Skip to the next step if the module targets Adobe Flash Player instead.
If the module is a mobile AIR application, navigate to the Compiler Options tab. In the Additional compiler options field, type
-preloader=
. We're clearing this compiler argument that IntelliJ IDEA sets for Flex, so it should be left blank on the right of the equals sign.For all types of AIR applications, we must create the Adobe AIR application descriptor file. With the module still selected in the Project Structure window, navigate to the Android tab for a mobile AIR application, or navigate to the AIR Package tab for a desktop AIR application.
Under Application descriptor, choose Custom template and click Create.... The default values for the application descriptor are usually okay, so simply click Create. You can open the application descriptor file later to make changes, if needed. For mobile apps, if IntelliJ IDEA asks to use the created application descriptor template for both Android and iOS, click Yes.
Click OK to save all of our changes. This will close the Project Structure window.
Open the module's new -app.xml file. Inside the
<initialWindow>
section, add<renderMode>direct</renderMode>
to enable Stage 3D.Skip the next step and proceed to the conclusion.
Follow this step if the module targets Adobe Flash Player. Skip to the conclusion if the module targets Adobe AIR instead.
Open the module's index.template.html file in the html-template folder. Search for the following line of JavaScript:
var params = {};
Add the following line after it:
params.wmode = "direct";
Next, look for the
<object>
HTML elements near the bottom of the document. Add the following<param>
element inside both<object>
elements.<param name="wmode" value="direct" />
Conclusion
The new module is ready. If you're unsure how to proceed, take a look at the Getting started with MXML in the Feathers SDK tutorial.
Known Issues
Unless the frameworks/libs folder from the Feathers SDK is added to the module as a dependency, the editor will highlight all Feathers components in MXML files in red, as if they don't exist. The compiler will compile these same MXML files without errors. This is a bug in IntelliJ IDEA. Add the frameworks/libs folder as a dependency in the module's settings to avoid this issue.
In an MXML file that is based on
<f:Application>
, the editor will highlight thetheme
property in red, as if it doesn't exist. However, the compiler will compile this file without issues. This is not an error, and it may be ignored. This issue will be fixed in a future version of the Feathers SDK.In an MXML file, the editor will highlight an
<fx:Component>
element used to create a sub-component factory in red, as if it were a syntax error. Additionally, the root element of the inline component will be highlighted in red. However, the compiler will compile this file without issues, and code hinting will work properly too. This is not an error, and it may be ignored.In some cases, you may be able to instantiate a sub-component in the
<fx:Declarations>
element, and pass it to the factory usingfactoryFromInstance()
.With a module for a mobile AIR application, the compiler may report some errors:
Error code 1120: Access to undefined property SplashScreen Error code: 1172: Definition spark.preloaders:SplashScreen could not be found.
In the module's Compiler Options tab, add
-preloader=
(leave the right side of the equals sign blank) to the Additional compiler options.


weather from file
Path: CARNOT/weather
Purpose
Input block for external weather data files.
Description
This block corresponds to the simulink block "From File". You can
read in weather data from external files, like TRY (Test Reference Years) The data files have to be in a Matlab readable form, i.e. in
the first column the time has to appear. To bring Test Reference Years in the
Weather data format of CARNOT the m-file Wprepro.m, which is located in the
CARNOT root directory can be used. The m-files
Meteonorm2wformat.m and
MeteonormMinute2wformat.m can be used for Meteonorm
files. To get more information about the utility functions you can type
help write_try
to the workspace, like as for any other MATLAB function. For weather input data files of a different format the Wprepro.m has to be adapted to the suitable format.
Parameters and Dialog Box
Characteristics
Direct Feedthrough
Yes
Sample time specify
-1 (although weather data usually have 3600 s)
Vectorized
No


Many thanks to Futility Closet for this clipping from The Times, 9 May 1854:
An accident, the consequences of which are expected to be fatal, took place at Cannes on Sunday last. A M. Despleschin, of Nice, had announced his intention of making an ascent in a balloon, and two gentlemen, M. Hardy, of Cannes, and M.A. de Sorr, a literary man from Paris, had made arrangements to accompany him. These two gentlemen had taken their seats in the car, M. Despleschin not having yet entered it, when some person in the crowd, anxious to see the balloon start, cried out ‘Let go.’ The man who held the ropes, thinking that the order had come from the aeronaut, obeyed, and the balloon rose rapidly into the clouds, and disappeared. M. Hardy and M. de Sorr are both entirely ignorant of the management of a balloon, and it is feared that they have been carried out to sea. Up to the 2d. no intelligence had been received of them.


WITNESS LIST Urban Affairs Committee May 3, 2000-1:00P Affordable Housing On: McMahon, Linda (Chase Bank of Texas & Community Development Lending) American Youth Works For: Halpin, Richard (American/Texas Youth Works) City of Fort Worth Housing Initiat On: Walker, Jerome (City of Fort Worth Housing Department) Green building materials On: Brown McGuire, Ginger (Self) Manufactured Housing For: Russell, Sam (Texas Manufactured Housing Assn.) On: Garcia, Joe (Texas Department of Housing and Community Affairs) Haskin, Becky (Fort Worth City Council) Igo, Shanna (Texas Municipal League) Lewis, Mark (City of Burleson) Mercer, Gary (City of Hollywood Park, Mayor) Mitchell, Karen (City of Haltom City, Director of Planning) Stiner, Daisy (Texas Department of Housing and Community Affairs) Stinson, Bill (Texas Association of Realtors) Texas State Affordable Housing Cor On: Buie, Jim (Texas Bond Review Board) Flores, Henry (Texas State Affordable Housing Corp.) Sullivan, Michael (Texas State Affordable Housing Corporation) TDHCA data base On: Henneberger, John (Texas Low Income Housing Information Service) TDHCA Agency Oversight On: Stiner, Daisy (TDHCA) TDHCA Oversight On: Garvin, John (TDHCA)


Morrisons is selling giant St George's rolls and bacon for Rugby World Cup Final 2019
Shoppers can pick up the 10-inch baps for 50p each, along with giant packs of bacon and sausages
by Melisha Kaur, https://www.mirror.co.uk/authors/melisha-kaur/With the 2019 Rugby World Cup Final taking place on Saturday November 2nd, thousands of breakfast parties are expected to happen around the nation as England face South Africa at 9am.
Morrisons is opening its cafés early to sell St George’s bread rolls that cost only 50p each.
The 10-inch baps are being sold in store alongside giant packs of the ‘The Best’ pork sausages (£3) and 500g of back bacon (16 rashers) for £2.50.
But that's not all. The supermarket has also reduced its Big Daddy Breakfast from £6 to a fiver, meaning you can enjoy a massive full English breakfast at a great price before the game kicks off tomorrow.
You'll even get a free cup of tea with your morning feast if you are wearing the colours of the England flag.
If you need some booze as you cheer for England, Morrisons' award-winning The Best English Sparkling Brut Vintage 2010 is reduced in stores from £25 to £20.
The supermarket has also slashed the price of its own-brand DOCG Prosecco , which is reduced from £10 to £8, and two packs of ten Guinness cans are priced at £16.
Find your nearest Morrisons using the store locator online.
Aldi have unveiled its Christmas food range for 2019 - and it contains a lot of booze


| Figure 1 |
Geographic locations of Tricholoma matsutake populations in ... |
| Figure 2 |
Predicted potential distribution of Tricholoma matsutake in ... |
| Figure 3 |
Distribution of varying habitat suitability for Tricholoma m ... |
| Figure 4 |
Area of varying habitat suitability of Tricholoma matsutake ... |
| Figure 5 |
Probability relationships between dominant climate factors a ... |
| Figure 6 |
Distribution of varying habitat suitability for Tricholoma m ... |


Can you add a link to the Better Battlelog Homepage from the options in Battlelog, because I want to see the changes in a new version and its much easier than typing the url. And I think it's not so much work, is it?
ORFK
Global Moderator
i think if an update is available the link will be visible in the mesage.
BloodDragon1992
it would be nice if a link to the forum would be added, too
BrainFooLong
Administrator
Should not be a problem, look forward to next release.


No dependencies
Litebox doesn't depend on any third-party scripts like jQuery. Include one script and you're good to go.
Lightweight, simple, modern and customizable lightbox to showcase your images.
Litebox doesn't depend on any third-party scripts like jQuery. Include one script and you're good to go.
Compressed and minified, the script only weights around 12 KB, which makes it load quickly into your website.
You can customize the behaviour and look with various options, so it adapts to your needs.
Being compiled into ES5 using Babel, Litebox is works in all modern browsers, even Internet Explorer 11.
In a hurry? Just throw the script at your HTML and use the default options and styles which are neutral.
Litebox is completely free and will always be. Its source code is also available on GitHub.
Want to get a quick look before getting started? Go ahead, click the image to your left to see Litebox in action.
More examples can be found in the demo page.


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Introduction
Java EE is the technology to build web applications using Java.
The following are important topics:
- HTML
- Style Sheets
- JavaScript
- Servlets and JSPs
Software Required
Here is software required to develop web applications using Java EE.
| Title |
Version |
Web URL |
| Tomcat Server |
9.0 |
tomcat.apache.org |
| Eclipse |
Oxygen |
eclipse.org |
Prerequsites: Java Language and Web Basics
Click here to get contact details


Northeastern University offers graduate students a variety of means of financial assistance. In addition to various types of assistantships awarded on merit by individual graduate schools and administrative offices, Student Financial Services administers several forms of financial aid. Student Financial Services administers financial aid programs for graduate students, primarily in the form of loans, including Federal Perkins Loans, Federal Work Study, and Federal Subsidized and Unsubsidized Stafford Loans. The financial aid application process can be rigorous and is strictly regulated.
Graduate Research Assistantships (GRA) are awarded to students who have a strong academic background and demonstrate an interest and proficiency in research. These appointments are typically funded by research grants made to faculty members by industry or governmental agencies. The continuation of any GRA is contingent upon funding availability. Graduate Teaching Assistantships (GTA) are awarded by academic departments and are available to students with proficiency in teaching. These positions generally require the performance of teaching-related duties such as grading, conducting recitations and laboratories, and occasionally teaching undergraduate classes. GTAs are required to attend various training sessions and workshops sponsored by the College of Engineering and the University. In addition, GTAs who speak English as a second language must attend training sessions sponsored by Global Student Services.


Major pieces of the web: Browser ->
Internet -> HTTP Request to Server -> and same in reverse
HTML - Hypertext markup language, main web doc type
-
Heart of the web
- Made up of text content - what you see
- Markup - what it looks like
- References to - images, videos etc
- Other docs
- Links
HTML Markup - made up of tags such as b for bold, em for emphasis or italics
Image tags (img) do not include a closing tag, these are called void tags
HTML elements are either inline, or block. Block elements
form an invisible box around the content inside them. Examples of inline
elements are b, img or span. P, div and others are examples of block elements.
HTML attributes are part of HTML elements, for example using the href attribute to provide the URL
in an anchor tag.
Example: Link to Google


The following platforms and compilers have been tested:
__USE_W32_SOCKETS
must be defined.)
The following platforms may also work:
The following libraries must be available in order to link programs that use Asio:
read_until()
or async_read_until()
overloads that take a boost::regex
parameter.
Furthermore, some of the examples also require Boost.Date_Time or Boost.Serialization libraries.
| Note | |
|---|---|
With MSVC or Borland C++ you may want to add |
By default, Asio is a header-only library. However, some developers may prefer
to build Asio using separately compiled source code. To do this, add #include <asio/impl/src.hpp>
to
one (and only one) source file in a program, then build the program with ASIO_SEPARATE_COMPILATION
defined in the
project/compiler settings. Alternatively, ASIO_DYN_LINK
may be defined to build a separately-compiled Asio as part of a shared library.
If using Asio's SSL support, you will also need to add #include
<asio/ssl/impl/src.hpp>
.
If the boost directory (e.g. the directory called boost_1_34_1
)
is in the same directory as the asio source kit, then you may configure asio
by simply going:
./configure
in the root directory of the asio source kit. Note that configure will always use the most recent boost version it knows about (i.e. 1.34.1) in preference to earlier versions, if there is more than one version present.
If the boost directory is in some other location, then you need to specify this directory when running configure:
./configure --with-boost=path_to_boost
When specifying the boost directory in this way you should ensure that you use an absolute path.
To build the examples, simply run make
in the root directory of the asio source kit. To also build and run the unit
tests, to confirm that asio is working correctly, run make
check
.
To build using the MSVC 7.1 or MSVC 8.0 command line compiler, perform the following steps in a Command Prompt window:
boost_1_34_1
)
is not in the same directory as the asio source kit, then specify the location
of boost by running a command similar to set BOOSTDIR=path_to_boost
.
Ensure that you specify an absolute path.
src
directory.
nmake -f Makefile.msc
.
nmake -f Makefile.msc check
to run a suite of tests to confirm
that asio is working correctly.
To build using the MinGW g++ compiler from the command line, perform the following steps in a Command Prompt window:
boost_1_34_1
)
is not in the same directory as the asio source kit, then specify the location
of boost by running a command similar to set BOOSTDIR=path_to_boost
.
Ensure that you specify an absolute path using forward slashes
(i.e. c:/projects/boost_1_34_1
rather than c:\projects\boost_1_34_1
).
src
directory.
make -f Makefile.mgw
.
make -f Makefile.mgw check
to run a suite of tests to confirm
that asio is working correctly.
| Note | |
|---|---|
The above instructions do not work when building inside MSYS. If you want
to build using MSYS, you should use |
The macros listed in the table below may be used to control the behaviour of Asio.
|
Macro |
Description |
|---|---|
|
|
Enables Asio's buffer debugging support, which can help identify when invalid buffers are used in read or write operations (e.g. if a std::string object being written is destroyed before the write operation completes).
When using Microsoft Visual C++, this macro is defined automatically
if the compiler's iterator debugging support is enabled, unless
When using g++, this macro is defined automatically if standard library
debugging is enabled ( |
|
|
Explictly disables Asio's buffer debugging support. |
|
|
Explicitly disables |
|
|
Explicitly disables |
|
|
Explicitly disables |
|
|
Explicitly disables |
|
|
Explicitly disables I/O completion ports support on Windows, forcing
the use of a |
|
|
Explicitly disables Asio's threading support, independent of whether or not Boost supports threads. |
|
|
By default, Asio will automatically define |
|
|
By default, Asio will automatically define |
|
|
When compiling for Windows using Microsoft Visual C++ or Borland
C++, Asio will automatically link in the necessary Windows SDK libraries
for sockets support (i.e. |
|
|
Determines the maximum number of arguments that may be passed to
the |
|
|
Determines the maximum number of arguments that may be passed to
the |
|
|
Enables use of the
The * It will only cancel asynchronous operations that were initiated in the current thread. * It can appear to complete without error, but the request to cancel the unfinished operations may be silently ignored by the operating system. Whether it works or not seems to depend on the drivers that are installed. For portable cancellation, consider using one of the following alternatives: * Disable asio's I/O completion port backend by defining ASIO_DISABLE_IOCP. * Use the socket object's close() function to simultaneously cancel the outstanding operations and close the socket. |
|
|
Disables uses of the |
|
|
Determines the number of buckets in asio's internal Some examples:
* Defining
* Defining |
A mailing list specifically for Asio may be found on SourceForge.net. Newsgroup access is provided via Gmane.
Users are encouraged to share examples, tips and FAQs on the Asio wiki, which is located at http://think-async.com/Asio/.


Blog Highlight
Blog Title
Date
Placeholer text for paragraph 1. Hide and seek, dreams of sewing machines. All these years, they were here first.
Placeholder text for paragraph 2.  Just hold the past in clear view, and catch every glimpse at once.
Placeholder for paragraph 3. Even though I'll never need her, even though she's only given me pain, I'll be on my knees to fee her, spend a day to make her smile again.


Conditions object specifying when this schema will be active
If no conditions are specified, the schema will always be active.
Data dimensions defined for this schema (not including schema-selector dimensions specified in
conditions
)
An array of strings, referencing dimensions defined in Config.dimensions via the Dimension.name property
Disable visualization of geo or aggregate data for this schema?
When displaying data values, round to this many places after the decimal point.
default: (no rounding)
Template representing a relative path to the aggregate data files (CSVs) for this schema
There must be one file for every combination of options of the dimensions defined within the
dimensions
property. The template should contain a "wildcard" for each such dimension (i.e.
the name of the dimension enclosed in curly braces. When searching for files, the program will
substitute for each such wildcard the Option.name property of each option defined for that
dimension. It's recommended to use some delimiting character, like _, between wildcards.
EXAMPLE:
{
"dimensions": [
{ "name": "dim1", "options": ["1a", "1b"], ... },
{ "name": "dim2", "options": ["2a", "2b"], ... }
],
"filepath_template_aggregate": "data/aggregate/{dim1}_{dim2}.csv",
...
}
Expected files:
Template representing a relative path to the raster data files (GeoTIFFs) for this schema
The same guidelines apply as for Schema.filepath_template_aggregate.
Display component configuration(s) for this schema
Unique name for the schema, used internally
Should ideally be as short as possible without being cryptic
Template representing the title text to display to the user when this schema is active
May optionally contain wildcards that reference dimension names; in that case the wildcard will be replaced with the Option.display_name property of the current option selected for the given dimension
EXAMPLE:
{
"dimensions": [
{ "name": "age", "options": ["children", "adults"], ... },
{ "name": "year", "options": [2000, 2010], ... }
]
"ui_title_template": "Mortality for {age} in {year}",
...
}
Selected options:
Rendered title: "Mortality for children in 2010"
Generated using TypeDoc
Data shape defined in Config.schemas and referencing dimensions defined in Config.dimensions
The application supports multiple data shapes for a given theme. A Schema is in essence a set of dimensions that describe the shape of the data.
While the application is running, one (and only one) schema may be active at a given time. We specify when a schema is active with the
conditions
property. Essentially, one or more dimensions serve as schema selectors. That is, when a user changes the value of such a dimension, he/she may change the active schema. In the database, each schema is represented by a separate set of data tables.


|
Widgets In Pygame
1.0
|
Public Member Functions | |
| None | __init__ (self) |
| None | kill (self) |
| def | react (self, Event event) |
| None | update (self, *args, **kwargs) |
| def | add_widget (self, Widget w) |
| def | del_widget (self, Widget w) |
| def | disable (self) |
| def | enable (self) |
| Public Member Functions inherited from wipyg.abstracts.Widget | |
| Tuple[int, int] | add_reaction (self, int type, callback) |
| def | del_reaction (self, Tuple[int, int] idReaction) |
| def | redraw (self) |
Additional Inherited Members | |
| Public Attributes inherited from wipyg.abstracts.Widget | |
| container | |
Abstract class for a Widget that can contain other widgets Methods ------- add_widget(w : Widget) Add w to the container and change w.container del_widget(w : Widget) Delete the widget from the container and set w.container to None
| def wipyg.abstracts.Container.add_widget | ( | self, | |
| Widget | w | ||
| ) |
Add w to the container and change w.container Parameters ---------- w : Widget
| def wipyg.abstracts.Container.del_widget | ( | self, | |
| Widget | w | ||
| ) |
Delete the widget from the container, set w.container to None and call w.kill() Parameters ---------- w : Widget
| def wipyg.abstracts.Container.disable | ( | self | ) |
Disable the widget so that it doesn't react to events anymore
Reimplemented from wipyg.abstracts.Widget.
| def wipyg.abstracts.Container.enable | ( | self | ) |
Enable the widget to react to events
Reimplemented from wipyg.abstracts.Widget.
| def wipyg.abstracts.Container.react | ( | self, | |
| Event | event | ||
| ) |
Loops through the callbacks installed through `add_reaction` and call the appropriates one for the event type Will do nothing if the widget was disabled. Parameters ---------- event : Event The event which must be handled Returns ------- bool Must the propagation of the event to containers be stopped ?
Reimplemented from wipyg.abstracts.Widget.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/.5Boff-topic.5D.20arxiv.20collector.html ---
TIL: https://github.com/dougalsutherland/arxiv-collector
This script allowed me to upload a paper to the arxiv in 5 minutes! And I'm using biblatex etc...
It just generates a .tar.gz
with all the style files that you need etc... you upload the tar to the arxiv, and presto!
Do you have to prove the theorems?
No... there is built-in AI that does that for you :rolling_on_the_floor_laughing:
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


9:57am
Good morning, Rebecca
10:14am
Hello, Beth. Will you have time to teach me the new procedure today?
10:50am
Yes I will later today.
10:55am
Lets meet at 3pm in the dining hall.


Great morning writing, hanging with Coraline and cleaning up after the dogs... wait a minute.
2/21/2009, 1:19:59 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Great morning writing, hanging with Coraline and cleaning up after the dogs... wait a minute.
2/21/2009, 1:19:59 PM
Favs: 0
Retweets: 0
link


My Covid-19 Tester
My Covid-19 Tester
Enter fever Value
Enter Age Value
Body Pain
No Pain
little Pain
Severe Pain
Runny Nose
yes
No
Breathing Difficulty
No Difficulty
Little Difficulty
Severe Difficulty
Tiredness
No Difficulty
Little Difficulty
Severe Difficulty
Chest Pain/Pressure
No Difficulty
Little Difficulty
Severe Difficulty
Dry Mouth
No
yes
Breath Hoalding Capacity
3 Sec
4 Sec
5 Sec
6 Sec
7 Sec
8 Sec
9 Sec
10 Sec
11 Sec
12 Sec
13 Sec
14 Sec
15 Sec
16 Sec
17 Sec
18 Sec
19 Sec
20 Sec
21 Sec Or More
Submit


nips nips2000 nips2000-106 nips2000-106-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Zoubin Ghahramani, Matthew J. Beal
Abstract: Variational approximations are becoming a widespread tool for Bayesian learning of graphical models. We provide some theoretical results for the variational updates in a very general family of conjugate-exponential graphical models. We show how the belief propagation and the junction tree algorithms can be used in the inference step of variational Bayesian learning. Applying these results to the Bayesian analysis of linear-Gaussian state-space models we obtain a learning procedure that exploits the Kalman smoothing propagation, while integrating over all model parameters. We demonstrate how this can be used to infer the hidden state dimensionality of the state-space model in a variety of synthetic problems and one real high-dimensional data set. 1
[1] H. Attias. A variational Bayesian framework for graphical models. In Advances in Neural Information Processing Systems 12. MIT Press, Cambridge, MA, 2000.
[2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical report, Gatsby Computational Neuroscience Unit, University College London, 2000.
[3] C.M. Bishop. Variational PCA. In Proc. Ninth ICANN, 1999.
[4] S. Friiwirth-Schnatter. Bayesian model discrimination and Bayes factors for linear Gaussian state space models. J. Royal. Stat. Soc. B , 57:237-246, 1995.
[5] Z. Ghahramani and M.J. Beal. Variational inference for Bayesian mixtures of factor analysers. In Adv. Neur. Inf. Proc. Sys. 12. MIT Press, Cambridge, MA, 2000.
[6] G.E. Hinton and D. van Camp. Keeping neural networks simple by minimizing the description length ofthe weights. In Sixth ACM Conference on Computational Learning Theory, Santa Cruz, 1993.
[7] M.1. Jordan, Z. Ghahramani, T.S. Jaakkola, and L.K Saul. An introduction to variational methods in graphical models. Machine Learning, 37:183- 233, 1999.
[8] D.J .C. MacKay. Ensemble learning for hidden Markov models. Technical report, Cavendish Laboratory, University of Cambridge, 1997.
[9] J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, CA, 1988.
[10] R. H. Shumway and D. S. Stoffer. An approach to time series smoothing and forecasting using the EM algorithm. J . Time Series Analysis, 3(4) :253- 264, 1982.
[11] S. Waterhouse, D.J.C. Mackay, and T. Robinson. Bayesian methods for mixtures of experts. In Adv. Neur. Inf. Proc. Sys . 7. MIT Press, 1995.


$def with (error) $:{RENDER("common/stage_title.html", ["Generate Recovery Codes: Verify Password", "Two-Factor Authentication", "/control/2fa/status"])}
Before generating new recovery codes, we need to verify your current Weasyl password.
Note: For the security of your account, entering your password will clear all other active login sessions for your account.


Ext Core Overview
Ext Core is an open source JavaScript library that provides a cross-browser consistent API simplifying the interaction between HTML and JavaScript.
- Subset of Ext JS
- MIT licensed
- Designed for your webpage
- Completely unobtrusive
- Clean well-defined OO structure
- Small footprint (~25kb)
- API Documentation & Manual


Looking for a job? Here is an awesome list with companies who have people at the conference so you can start the chat right away!
{{ range (.Pages | shuffle) }}
{{ partial "job_preview.html" . }}
{{ end }}
To get your job-ad added to this list go to the job-board description page and get more info.
If you're looking for a job and want it added to the list write an email to<EMAIL_ADDRESS>with full name, contact details, job type(s) you're looking for, optionally a picture and optionally links to references (CV, Github, Linkedin ...).
If you have any questions don't hesitate to write an email to: 2019@djangocon.eu.


Colm G's Music & Radio
Colm G - About me
Hello!
My name is Colm Gallagher. I grew up in London listening to UK radio for every hour I possibly could, with Martin Collins, Neil Fox & others being my inspirations on Capital FM, before I became hooked on Chris Evans & Chris Moyles soon after.
After a stint in hospital radio I transferred to becoming a full-time club DJ. Between 1996-2010 I held various London resedencies including:
The Swan is simply one of the most famous Irish clubs in London. Having hosted the likes of "The Pogues", "The Stunning" and "The Fureys", amongst many others, you haven't lived if you've never experienced a night in Stockwell's iconic hotspot!
The Venue, located in New Cross, a 7 storey superclub which hosted Oasis, Blur, Pulp etc before they hit the big time!
O'Neill's is London's largest chain of Irish theme bars. I was the resident DJ in Leytonstone O'Neill's for 4 years playing to roughly 1000 people every Friday & Saturday night.
In 1999 I was tasked with a new challenge by the new owners of The Vale Bar in trendy East Dulwich.....Start from scratch! Over 5 years we went from nothing to a full 400 capacity every weekend.
The Borderline is a top club in London's West End supplying dance music to a mix of locals and tourists.
As well as the above, I played the World famous "Cafe Royal" in Regent Street on behalf of the Irish Youth Foundation, and some ITV backstage parties.
My passion for radio became reignited upon relocating to Ireland and taking a course at Radio Kerry Training.
I presented a weekly show called '60s@6' from 2014 to Feb 2017 and was also the main cover presenter for 'Powerplay', 'The Afternoon Show' & 'The Hitlist' on Shannonside Northern Sound, broadcasting across the counties of Longford, Roscommon, Leitrim, Cavan and Monaghan.
As well as radio, my other big passion (for obvious reasons), is music. I've been collecting a huge database in my hope of eventually owning every song that has ever officialy charted! I plan to list and blog about my top 100 songs of every year since the official UK charts commenced in 1952. Hopefully you will enjoy this site and tell your friends about it too!


Post-parsing
HMAC.php
Message.php
PAPE.php
Yadis.php
Association.php
Warnings:
Warning on line 69 - class variable "Auth_OpenID_Association::$_macs" is assumed to be @access private because its name starts with _, but has no @access tag
HMAC.php
Warnings:
Warning on line 16 - Page-level DocBlock precedes "require_once 'Auth/OpenID.php'", use another DocBlock to document the source element
Message.php
Warnings:
Warning on line 570 - method "Auth_OpenID_Message::_getDefaultNamespace()" is assumed to be @access private because its name starts with _, but has no @access tag
PAPE.php
Warnings:
Warning on line 34 - no @package tag was used in a DocBlock for class Auth_OpenID_PAPE_Request
Warning on line 158 - no @package tag was used in a DocBlock for class Auth_OpenID_PAPE_Response
Warning on line 203 - Unknown tag "@returns:" used
Warning on line 300 - File "/tmp/tmpHdKgv8/repo/Auth/OpenID/PAPE.php" has no page-level DocBlock, use @package in the first DocBlock to create one
Yadis.php
Warnings:
Warning on line 135 - Unknown tag "@return:" used
Documentation generated on Tue, 21 Apr 2009 11:31:34 -0700 by phpDocumentor 1.3.2


§46-22 Compensation of certain county officials. Any law to the contrary notwithstanding, each county, including the city and county of Honolulu, by ordinance shall fix the salaries for its officials whose salaries are presently specifically established by statute or ordinance. [L 1965, c 223, §10; Supp, §138-5.5; HRS §46-22]
Case Notes
Includes power to amend Honolulu Charter. 50 H. 277, 439 P.2d 206.
Constitutionality of state law prohibiting salary increases of certain county officers and employees upheld. 67 H. 412, 689 P.2d 757.


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*** website under construction ***
| Download link | Description |
|---|---|
| PocketMine-MP-x64.exe | PocketMine-MP x64 installer |
| PocketMine-MP-x86.exe | PocketMine-MP x86 installer |
| pmmpinstaller.bat | Downloads the correct exe file |
| PMMP-Download-Installer.exe | pmmpinstaller.bat file in a exe |
| installer.zip | Includes all the files above |


👋 Hi, I'm Chenli
Digital product designer based in Beijing, currently focused on cloud computing.
I craft strategy-based products by asking the right questions and understanding the problem. I strive in achieving a positive impact on any company or product I am working on.
<EMAIL_ADDRESS>| 备案号：京ICP备18002463号-2


Woops! There's no line here.
Make sure that you typed in the link you were given correctly!
Take me back!


Maybot/Political Theresa - Privacy & Legal
Maybot (also known as Political Theresa on some platforms) is a recurrent neural network that completes sentences in the style of Theresa May's parliamentary spoken contributions scraped from Hansard.
When you view this website or enter some initial words for the network to complete either on the website or using one of the voice-based platforms that Maybot is available on, we log this activity, recording date/time, IP address, initial words entered and the completed sentence generated by the network.
We use this information for debugging and program improvement. We may also publish some of the initial words and completed sentences generated by the network where they are notable or funny. Any information we publish will be anonymous. We will not share information with third parties and will only disclose identifying information if forced to do so by a court order from an English court.
The sentences generated by Maybot are completely as a result of its training. We have not engineered any specific outputs. We don't think it is likely, but the network could produce inappropriate or offensive content. By using this site, you accept this and will not hold Argon Design Ltd liable for any results generated.
Maybot uses Parliamentary information licensed under the Open Parliament Licence v3.0.
The Palace of Westminster image used as the background on some platforms is cropped from an image by Joaquim Alves Gaspar and licensed under the Creative Commons Attribution-Share Alike 3.0 Unported License.


When we started using webpack, we had to manually specify the bundling entry point:
Our main javascript file that used "require" to include other libraries,
As well as the filename we wanted for our output.
We can automate this process by creating the "webpack.config.js" file, which allows us to simply run webpack without having to worry about various arguments.
This file also allows us to add other advance features to our build step.
Test


assert on steroids
What does it look like?
Contract String => nil
def greeting(name)
puts "Hello, #{name}!"
end
greeting('Szymon') # => Hello, Szymon!
When argument or return value doesn't match...
Contract String => nil
def greeting(name)
puts "Hello, #{name}!"
end
greeting(1)
... it raises an exception
Contract violation for argument 1 of 1: (ParamContractError)
Expected: String,
Actual: 1
Value guarded in: Object::greeting
With Contract: String => NilClass
At: snippet2.rb:5
What sort of contracts do we have out of the box?
Contract Num, Num => Num
def add(x, y)
x + y
end
add(1, 2) # => 3
Contract Pos, Neg => Num
def add_positive_to_negative(x, y)
x + y
end
add_positive_to_negative(1, -1) # => 0
add_positive_to_negative(1, 1) # => Contract violation
We can also use literals like 1, "a", {} or nil
Contract Or[Fixnum, Float] => Or[Fixnum, Float]
def double(x)
2 * x
end
double(1) # => 2
double(1.5) # => 3
double("1") # => Contract violation
Contract HashOf[Symbol, String] => String
def serialize(params)
return JSON.dump(params)
end
serialize(foo: 'bar') # => {"foo":"bar"}
serialize(foo: 10) # => Contract violation
Contract ArrayOf[Num] => Num
def sum(numbers)
numbers.reduce(:+)
end
sum(1.upto(10).to_a) # => 55
sum([1, 2, 3, '4']) # => Contract violation
Any
- passes for any argument (no constraint)None
- when a method takes no argumentsMaybe(Num)
- argument can be nil or given contractRespondTo[:foo, :bar]
- must respond to the given methodsExactly(Numeric)
- won't pass for subclassesSend[:valid?]
- the method must return true
class Order
include Contracts, Contracts::Invariants
attr_accessor :client, :products
invariant(:client) { client.nil? == false }
invariant(:products) { Array(products).any? }
Contract Any, Any => Order
def initialize(client, product)
self.client = client
self.products = products
self
end
end
Order.new(nil, nil)
failure_callback': Invariant violation: (InvariantError)
Expected: client condition to be true
Actual: false
Value guarded in: Order::initialize
At: snippet6.rb:13
Contract ->(n) { n < 12 } => Hash
def get_ticket(age)
{ ticket_type: :child }
end
Contract ->(n) { n >= 12 } => Hash
def get_ticket(age)
{ ticket_type: :adult }
end
p get_ticket(11) # => {:ticket_type=>:child}
p get_ticket(12) # => {:ticket_type=>:adult}
What is this lambda doing there... ?
There are 3 ways to define a custom contract
valid?
class methodvalid?
instance method
is_even = ->(num) { num % 2 == 0 }
Contract is_even => String
def check(num)
"Yay!"
end
Produces the following error when fails
Contract violation for argument 1 of 1: (ParamContractError)
Expected: #,
Actual: 1
valid?
class method
class EvenNumber
def self.valid?(num)
num % 2 == 0
end
end
Contract EvenNumber => String
def check(num)
"Yay!"
end
Produces the following error when fails
Contract violation for argument 1 of 1: (ParamContractError)
Expected: EvenNumber,
Actual: 1
valid?
instance method
class Or < CallableClass
def initialize(*vals)
@vals = vals
end
def valid?(val)
@vals.any? do |contract|
res, _ = Contract.valid?(val, contract)
res
end
end
end
http://adit.io/posts/2013-03-04-How-I-Made-My-Ruby-Project-10x-Faster.html
IO - opening websites and reading their body 100 times
contracts.ruby|master ⇒ RUBYLIB=./lib ruby benchmarks/io.rb
user system total real
testing download 3.970000 0.360000 4.330000 ( 48.206278)
testing contracts download 3.810000 0.290000 4.100000 ( 48.630163)
Invariants - ran 1 mil times
contracts.ruby|master ⇒ RUBYLIB=./lib ruby benchmarks/invariants.rb
user system total real
testing contracts add 4.850000 0.040000 4.890000 ( 4.954304)
testing contracts add with invariants 6.180000 0.030000 6.210000 ( 6.232967)
For a real world usage (making requests)
the performance drop is barely visible
Pros
NO_CONTRACTS
env varCons


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#!/usr/bin/env rake begin
require 'bundler/setup'
rescue LoadError
puts 'You must `gem install bundler` and `bundle install` to run rake tasks'
end begin
require 'rdoc/task'
rescue LoadError
require 'rdoc/rdoc' require 'rake/rdoctask' RDoc::Task = Rake::RDocTask
end
RDoc::Task.new(:rdoc) do |rdoc|
rdoc.rdoc_dir = 'rdoc' rdoc.title = 'Active Progress' rdoc.options << '--line-numbers' rdoc.rdoc_files.include('README.rdoc') rdoc.rdoc_files.include('lib .rb')
end
APP_RAKEFILE = File.expand_path(“../spec/dummy/Rakefile”, __FILE__) load 'rails/tasks/engine.rake'
Bundler::GemHelper.install_tasks
require “rubygems” require “rubygems/package_task” require “rdoc/task”
require “rspec-rails” require “rspec/core/rake_task” RSpec::Core::RakeTask.new do |t|
t.rspec_opts = %w(--format documentation --colour)
end
task :default => [“test”, “spec”]
# This builds the actual gem. For details of what all these options # mean, and other ones you can add, check the documentation here: # # rubygems.org/read/chapter/20 # spec = Gem::Specification.new do |s|
# Change these as appropriate s.name = "active_progress" s.version = "0.3.4" s.summary = "An elegant Rails solution for issue tracking" s.description = "An elegant Rails solution for issue tracking" s.author = "Mike Cifani" s.email =<EMAIL_ADDRESS>s.homepage = "http://www.activeprogress.me" s.has_rdoc = true s.extra_rdoc_files = %w(README.rdoc) s.rdoc_options = %w(--main README.rdoc) # Add any extra files to include in the gem s.files = %w(active_progress.gemspec Gemfile Gemfile.lock issues} MIT-LICENSE Rakefile README.rdoc screenshot1.png) + Dir.glob("{test,spec,lib,app,db,config}/ *") s.require_paths = ["lib"] # If you want to depend on other gems, add them here, along with any # relevant versions # s.add_dependency("some_other_gem", "~> 0.1.0") s.add_dependency "github_api" s.add_dependency "faraday-http-cache" s.add_dependency "delayed_job_active_record" # If your tests use any gems, include them here s.add_development_dependency("rspec")
end
# This task actually builds the gem. We also regenerate a static # .gemspec file, which is useful if something (i.e. GitHub) will # be automatically building a gem for this project. If you're not # using GitHub, edit as appropriate. # # To publish your gem online, install the 'gemcutter' gem; Read more # about that here: gemcutter.org/pages/gem_docs Gem::PackageTask.new(spec) do |pkg|
pkg.gem_spec = spec
end
desc “Build the gemspec file #{spec.name}.gemspec” task :gemspec do
file = File.dirname(__FILE__) + "/#{spec.name}.gemspec" File.open(file, "w") {|f| f << spec.to_ruby }
end
# If you don't want to generate the .gemspec file, just remove this line. Reasons # why you might want to generate a gemspec: # - using bundler with a git source # - building the gem without rake (i.e. gem build blah.gemspec) # - maybe others? task :package => :gemspec
# Generate documentation RDoc::Task.new do |rd|
rd.main = "README.rdoc" rd.rdoc_files.include("README.rdoc", "lib/ *.rb") rd.rdoc_dir = "rdoc"
end
desc 'Clear out RDoc and generated packages' task :clean => [:clobber_rdoc, :clobber_package] do
rm "#{spec.name}.gemspec"
end


Elaboration of vehicular emissions inventories, consisting in four stages, pre-processing activity data, preparing emissions factors, estimating the emissions and post-processing of emissions in maps and databases. More details in Ibarra-Espinosa et al (2018) <doi:10.5194/gmd-11-2209-2018>.
| Version: | 0.5.2 |
| Depends: | R (≥ 2.10) |
| Imports: | sf, sp, data.table, graphics, stats, units, methods, eixport |
| Suggests: | knitr, rmarkdown, testthat, covr, lwgeom, cptcity |
| Published: | 2018-10-03 |
| Author: | Sergio Ibarra-Espinosa [aut, cre], Daniel Schuch [aut] |
| Maintainer: | Sergio Ibarra-Espinosa <sergio.ibarra at usp.br> |
| BugReports: | https://github.com/atmoschem/vein/issues/ |
| License: | MIT + file LICENSE |
| URL: | https://atmoschem.github.io/vein/ |
| NeedsCompilation: | no |
| Citation: | vein citation info |
| Materials: | NEWS |
| CRAN checks: | vein results |
| Reference manual: | vein.pdf |
| Package source: | vein_0.5.2.tar.gz |
| Windows binaries: | r-devel: vein_0.5.2.zip, r-release: vein_0.5.2.zip, r-oldrel: vein_0.5.2.zip |
| OS X binaries: | r-release: vein_0.5.2.tgz, r-oldrel: vein_0.5.2.tgz |
| Old sources: | vein archive |
Please use the canonical form https://CRAN.R-project.org/package=vein to link to this page.