Assignes the value(s) of val to the elements of the af::array.
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| array & | operator= (const double &val) |
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| array & | operator= (const cdouble &val) |
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| array & | operator= (const cfloat &val) |
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| array & | operator= (const float &val) |
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| array & | operator= (const int &val) |
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| array & | operator= (const unsigned &val) |
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| array & | operator= (const bool &val) |
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| array & | operator= (const char &val) |
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| array & | operator= (const unsigned char &val) |
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| array & | operator= (const long &val) |
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| array & | operator= (const unsigned long &val) |
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| array & | operator= (const long long &val) |
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| array & | operator= (const unsigned long long &val) |
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| array & | operator= (const short &val) |
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| array & | operator= (const unsigned short &val) |
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Assignes the value(s) of val to the elements of the af::array.
Assigns a value
◆ operator=() [1/16]
Assignes the value(s) of val to the elements of the array.
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| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
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- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [2/16]
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Assignes the value(s) of val to the elements of the array.
- Parameters
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| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [3/16]
Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [4/16]
Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [5/16]
| array & operator= |
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const char & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [6/16]
| array & operator= |
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const double & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [7/16]
| array & operator= |
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const float & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [8/16]
| array & operator= |
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const int & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [9/16]
| array & operator= |
( |
const long & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [10/16]
| array & operator= |
( |
const long long & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [11/16]
| array & operator= |
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const short & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [12/16]
| array & operator= |
( |
const unsigned & |
val | ) |
|
Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [13/16]
| array & operator= |
( |
const unsigned char & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [14/16]
| array & operator= |
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const unsigned long & |
val | ) |
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Assignes the value(s) of val to the elements of the array.
- Parameters
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| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator=() [15/16]
| array & operator= |
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const unsigned long long & |
val | ) |
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◆ operator=() [16/16]
| array & operator= |
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const unsigned short & |
val | ) |
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Implements a broad class of latent variable and structural equation models for general pedigree data.
| Version: | 0.6.2 |
| Depends: | R (≥ 3.0.0), methods, pedigree, Rgraphviz (≥ 2.6.0) |
| Imports: | Matrix, MASS, Rcpp, graph |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2015-06-12 |
| Author: | Nathan Morris [aut, cre], Yeunjoo Song [aut], Stephen Cahn [ctb] |
| Maintainer: | Nathan Morris <nathan.morris at cwru.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | strum results |
| Reference manual: | strum.pdf |
| Vignettes: |
strum-examples strum-introduction |
| Package source: | strum_0.6.2.tar.gz |
| Windows binaries: | r-devel: strum_0.6.2.zip, r-release: strum_0.6.2.zip, r-oldrel: strum_0.6.2.zip |
| OS X binaries: | r-release: strum_0.6.2.tgz, r-oldrel: strum_0.6.2.tgz |
| Old sources: | strum archive |
Please use the canonical form https://CRAN.R-project.org/package=strum to link to this page.


Controller
Here we separate logic from view to the controller.
{{ invoice.task }}
Add
Tasks:
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--- layout: default permalink: / --- UPDATE CONTINUOSLY IN PROGRESS Solution Architect Fullstack Developer IT Consultant {% for abstract in site.abstracts %} {{ abstract | markdownify }} {% endfor %}
Solution Architect
Fullstack Developer
IT Consultant


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In this exercise we will analyse a few small RNA libraries, from Drosophila melanogaster (fruit fly) embryos and two cell lines (KC167 cells derived from whole embryos, and ML-DmD32 cells derived from adult wing discs). This is a subset of a much larger data set used to study microRNAs and other small RNAs in Drosophila:
These data sets are described more in this paper.
The aim of the exercise is to show a simple way to process small RNA data and to quantify the expression of microRNAs, and to make some plots of global expression patterns in R. First, you will preprocess the small RNA reads, map them to the genome, and browse the results. Then you will quantify the expression of the microRNAs, and make some plots of microRNA expression profiles.
Running this on UPPMAX, start by loading the modules you will need:
module load bioinfo-tools
module load samtools
module load cutadapt
module load bowtie
module load subread/1.5.2
And we create a directory under bonus to work in.
mkdir bonus/smallrna
All data and scripts required for this exercise can be found in /proj/uppstore2017171/courses/RNAseqWorkshop/downloads/smallRNA
on UPPMAX.
This includes:
Copy these files in the directory you will use for this exercise. On UPPMAX you can use the following command:
cd /bonus/smallrna
cp -r /proj/uppstore2017171/courses/RNAseqWorkshop/downloads/smallRNA/* .
This might take a while since the fastq files are quite large.
When sequencing small RNAs we are working with very short RNA fragments, typically shorter than the reads. This means that most reads will contain parts of adaptor sequences that were inserted during library preparation. These are found at the (3’) end of the reads. Before we can do anything else with the data we have to remove these sequences.
Look at any fastq file, e.g. using less:
less file.fastq
Just by looking the nucleotide sequence, can you guess what the adapter is? (This is actually a useful exercise. Many data sets are poorly annotated, and no information is given about the adapter sequence. When analyzing such data the only option is to infer the adapter from the sequence data.)
There are many programs available for trimming adapters. We will use a program called cutadapt. You can run it with the following command:
cutadapt -a [adaptor] --trimmed-only [in.fastq] --minimum-length=17 > [trimmed.fastq]
This trims the sequence given in adapter from the reads in in.fastq and prints the results to a new file trimmed.fastq. It also applies the following filters: only reads where the adapter was trimmed are printed to the output, and only reads that are at least 17 nucleotides after trimming are printed. For the data in this exercise, use the adapter sequence CTGTAGGCACCATC
.
Run this program on each of the 6 fastq files. This takes a few minutes per file. Make sure you give the resulting files good names (e.g. kc167_TRIM.fastq) so you can keep track of all files.
How many reads were removed because they didn’t have the adapter sequence or because they were to short?
The next step is to align (map) the reads to the genome sequence around the microRNA loci. We will use the program bowtie to do this. We will map the reads against the entire Drosophila melanogaster genome. To be able to map millions of reads very fast, bowtie uses an index of the sequence we map against. You find an index of the Drosophila genome at /sw/data/uppnex/igenomes/Drosophila_melanogaster/UCSC/dm3/Sequence/BowtieIndex/genome
. To map all reads we use the following command: ::
bowtie -q -v 0 -k 10 -S -t [index.name] [small_rna.fastq] [out.sam]
Here, index.name is the bowtie index above, small_rna.fastq is the file with the small RNA data (after trimming!) and out.sam is the resulting file. This maps the reads with the following settings: input is a fastq file (-q), no mismatches are allowed (-v 0), max 10 hits are reported for each read (-k 10), output is a SAM file (-S) and the time the mapping took is printed to the screen (-t). Run this command once for every file with trimmed reads. It takes around one minute for each data set.
Optional
You can try mapping one of the fastq files where the adaptor was not trimmed, and see what happens.
It is often informative to just browse the reads once they have been mapped to genome. For this we will use pre-computed BAM files, which can be viewed with IGV or some other genome browser. These are basically the same as the SAM files created by bowtie, but converted to a compressed binary format and sorted. Start IGV and load the files emb_0_1.sorted.bam and ml-DmD32_r2.sorted.bam. Also load the file with all microRNA annotations dme_mirbase.gff3.
IGV can be started on UPPMAX using module load IGV; igv.sh&
.
To load a file you first select the correct genome (D. melanogaster r5.22) in the top left menu. Then go to the File > Menu, and select Load from file, and select the files described above.
Type the name of a microRNA, e.g mir-124, to go to that locus. You can see that the read mapping patterns are very distinct: (Almost) only the processed microRNAs end in the sequencing libraries, and you can see reads from both arms of the hairpin structure. While many microRNAs occur alone in the genome, other are arranged in clusters. Type let-7 to browse such a cluster.
How many microRNAs do you see in this region?
Optional
To see something weird, go to 3R:18,118,436-18,118,767. Do you have any idea what this could be?
We can now summarize the mapped reads to see which microRNAs are expressed in the different samples, and to do some global comparisons. For this, we use the SAM files created by bowtie. If you have not seen a SAM file before, have a look at one of the files, for example by running:
less [out.sam]
Press SPACE to scroll down into the file and Q to exit the viewer.
We are only interested in the reads mapping to known microRNA loci in miRBase, which is the “official” data base of microRNAs in many different species. The file /proj/uppstore2017171/courses/RNAseqWorkshop/downloads/smallRNA/mirbase/dme_mirbase_FORMAT2016.gff3
contains the locations of all microRNAs on the fly genome. Use less
to have a look at this file. featureCounts is a useful program for counting reads mapping to different genomic regions. Run it like this, for all SAM files at once:
featureCounts -t miRNA -g Name -O -s 1 -M -a [mirbasefile] -o [outfile] [samfiles ...]
Here we only look at loci that are miRNA, and we use the Name attribute to name the loci. The -O
flag tells the program that reads that map to several overlapping microRNAs should be assigned to all of them. The -s 1
flag tells the program to only count reads that map to the same strand as the microRNA, and the -M
flag makes sure we count multi mapping reads. The output will be a list with the number of reads mapping to each microRNA. featureCounts
takes around a few minutes to run. When the program has finished, look at the results with less
.
Once the reads mapping to each microRNA have been counted, we can analyze the microRNA expression levels using R.
You can run R on UPPMAX by running
module load R/3.5.2
module load R_packages/3.5.2
R
You will see a different prompt, since you are now typing commands to R. You can always exit R with quit()
.
Alternatively, you can run RStudio locally on your system. In this case, you need to download the count tables.
To combine the files you just created into an expression table, use the following commands:
count.file <- "<path to the output of featureCounts>"
count.data <- read.table(count.file, sep="\t", header=TRUE)
exp.data <- count.data[,-1*1:6] ## remove first 6 columns
rownames(exp.data) <- count.data[,1] ## use names of microRNAs as rownames in the table
colnames(exp.data) <- gsub(".sam", "", colnames(exp.data)) ## make column names of table nicer
colnames(exp.data) <- gsub("fastq.", "", colnames(exp.data))
You can look at the first 20 rows of the table by typing:
exp.data[1:20,]
Since the log transformation we will do later cannot handle cases with zero reads, we add a dummy value of 1 read to each microRNA:
exp.data <- exp.data + 1
To compare expression levels from different libraries, the read counts have to be normalized to compensate for different sequencing depths etc. For this we will use the TMM normalization. This normalization method uses a trimmed mean of M- values (TMM) between each pair of samples to find a set of scaling factors for the library sizes that minimize the log-fold changes between the samples for most genes (if you are interested in the details, see this paper). To use this method we need to load the edgeR module. edgeR is an R module with many useful functions for normalizing RNA-seq data and finding differentially expressed genes. Here we will only use one of the normalization functions.
library(edgeR)
If you get an error message that the edgeR module is not installed on the computer you are using, you can download and install it with:
source("http://bioconductor.org/biocLite.R")
biocLite("edgeR")
In the normalization, we start by computing the factors by which the read counts from each library are rescaled:
lib.size <- apply(exp.data,2,sum)
scale.factors <- calcNormFactors(exp.data, method="TMM")
Next, we apply the rescaling to the read counts for each library:
norm.data <- t(t(exp.data)/(scale.factors*lib.size))
Finally, we log transform all values. This makes the analysis less sensitive to microRNAs with a huge number of reads:
norm.data <- log(norm.data)
We can use principal component analysis (PCA) to get a global look of how similar the microRNA expression profiles are in the different libraries:
mir.pca <- prcomp(t(norm.data)) ## compute principal components
plot(mir.pca$x[,1], mir.pca$x[,2]) ## plot PC1 and PC2
text(mir.pca$x[,1], mir.pca$x[,2], rownames(mir.pca$x), cex=0.7, pos=4, col="red")
You should now see a plot on the screen. What can we learn from looking at this PCA plot?
We can also look at the loadings, i.e. how much each microRNA contributes to each principal component. To see which microRNAs are highly expressed in samples with high PC1, type:
head(sort(mir.pca$rotation[,1], decreasing=TRUE))
To see which microRNAs are highly expressed in samples with low PC1, type:
head(sort(mir.pca$rotation[,1], decreasing=FALSE))
(Some background about some specific microRNAs: bantam is known to prevent apoptosis by repressing pro-apoptosis genes, so it makes sense that it is highly expressed in cell lines. mir-124 is a nervous system specific microRNA. It is not surprising that it is higher expressed in embryos than in (non-neural) cell lines. Also, mir-4 mir-5 and mir-286 come from the same transcriptional cluster, and have been associated with degradation of maternal mRNA in embryos.)
Another way to get a global overview of the data is to use clustering and plot heatmaps. You can do this with the following command:
heatmap(norm.data, scale="none", cexRow=0.2, cexCol=0.6)
In the resulting plot each library is a column and each microRNA is a row. The color indicates the expression levels, with red being no reads and more yellow indicating higher expression. The dendrogram at the top shows how the libraries cluster together.
What can you learn from looking at this plot?
Another function to create heatmaps R is pheatmap()
from the pheatmap R package. To use it, do
library(pheatmap)
pheatmap(norm.data, scale="none", fontsize_row=3)
If the library pheatmap isn’t installed, you can download and install it with
install.packages("pheatmap")
There may be some problems displaying plots etc. on UPPMAX when running in interactive mode. If you have trouble viewing the PCA plots and heatmaps, try:
End of document


Preparation: I have heard some conflicting opinions on 5-htp (i.e. if loading for a few days before an MDMA trip helps build serotonin a makes for a more powerful trip or not, and if it helps reduce the slight depression one gets after rolling or not). So wanting to see for myself, I decided to go to my local health store and pick up a bottle of the stuff. The directions on the bottle were to take 1x50mgs daily. I decided to take 3x50mgs daily for 4 days before the trip. I also decided to prepare myself mentally for the following few days (i.e. staying in a positive mood) in hopes of being in the best mind set for my first E trip in an after-hours club.
Mind set: It had been a good evening when the time came to leave for the party. We had a heavy turkey supper for thanksgiving/brotherís birthday accompanied with much wine and beer so that had me slightly worried for fear of puking. And I was still slightly sad because I had lost my new blue hat in a bar the night before and the cops had taken some weed from me. But otherwise I was in a great mood, definitely ready for some hard-core rolliní. I headed to the party with about 20 people and to my disappointment nobody was rolling that night except me.
The Experience: We get into the after-hours club at about 11:45pm, I walk around the place for about 20 minutes in order to get comfortable, find the bath rooms and locate the essential water bottle refill areas. At about 12:10am I pop my first dose of about ~150-170 mgs of high grade MDMA in a gel-cap. Being somewhat experienced with E, this time I decided to notice exactly how the drug comes on.
T+00:30, just sitting on a couch chilling, I feel pretty nervous, like a tightness in my chest, hands are clammy and I am restless.
T+00:45, I start to feel the effects of the somewhat high dose, itís like as if my hearing was drowned out for half a second and I felt/heard a ďWHOOOSHĒ as the MDMA mustíve been entering my synapses, followed by a sudden wave of dizziness. I head downstairs to refill my water bottle for I feel this is gonna be an intense trip! By the time I finish filling the bottle, and now I am fully launched into the roll, all in the span of five minutes.
I start to notice how beautiful the flashing lights are and the techno sounds GREAT all while bobbing my head unconsciously to it. There are girls everywhere, I spot one with a sexy thong sticking out of her pants and realize that life is amazing, everything is as it should be, raving is the best thing ever and I wonder why I have never gone to one before. All my senses are being stimulated in the best possible ways, I am enjoying hugging the girls I am with and talking to my friends. All while wanting to scream from the top of my lungs: ďTHIS IS GREAT!!!!!!!!!Ē. But I donít want to attract to much attention so I must restrain myself from doing so.
Iím not much of a dancer so Iím spending most of the time chilling on couches and sitting on the huge club speakers, letting the bass flow through my entire body, this is the best feeling ever. This is a very strong roll so as usual I surprise myself by clenching my teeth with surprising strength: ďI thought weíd been over this before!.Ē So not wanting to grind my molars down to useless stumps, I walk over to my friend M and ask her for some gum. I take 3 pieces! My jaw muscles work away happily at the gum, somewhat reducing the tension in them. Then comes the moment of truth, its time to take a piss. As is usual on MDMA, Iím never able to exorcise my pee demons, so I doodle around with weasel for about 20 minutes in a bathroom stall a realize that all my forcing and struggling is in vain, I leave the bathroom and continue rolliní.
T+2:00, Iím still very high but I fear that eventually I might just come down, thatís the problem with E; I always want more. So I decide to pop a ďboosterĒ dose of ~100mgs. I have noticed at this point, as Is usual with E, smoking cigarettes is GREAT! (if youíre into that sort of thing). Iím smoking a butt at every 15 minutes! But I know Iíll wake up with the most disgusting sore throat in the morning.
Girls are massaging me and Iím having the most amazing and meaningful conversations of my life, or so it seems. All while listening to the extremely loud bass oriented techno music and watching the crazy life show.
T+2:30, here we go, the booster dose kicks in. Itís not as noticeable as the onset of the first pill, but I can definitely tell that the roll has just been taking up by quite a notch! I go downstairs to fill up my water again (something I have done many times already tonight). I buy an apple and an orange at the refreshment stand (bad idea as you will see in a bit) I eat them both and they taste great.
T+2:45, I finally find a girl I can sit down with and get/give massages to. Sheís a cool chick whoís moved here from Russia a month ago and sheís with some other Russian guy whoís tripping on a few hits of acid. Massages on E are a source of pure elation for me, as is any other form of touching. We make out for a little while, but I notice that there is nothing sexual about this encounter.  Itís all about stimulating your senses and those of others around you.
I draw unspeakable pleasure from simple stimuli that would not normally warrant any further considerations when not rolling. High fives, telling someone you care about that they are cool, hugs & kisses, holding hands, smelling a girlís hair, gentle massages and chewing gum all seem so luxurious. I think that when I'm doing E, the experience is so much more pleasurable, interesting and rewarding when I have someone of the opposite sex that I trust and feel comfortable with whom I can visit periodically for affection, massages and talking.
T+4:00, Iím starting to doubt my own intensity!  At this point I must be right over the peak of the high and am quickly tumbling back down to the dreary and dull reality that is life. For me, the MDMA crash is the most horrible feeling. Iím sure it is not unlike when a child is ripped from his motherís warm & comforting womb at his birth.
T+4.05, My good friend Action comes to proposition me at this point to head over to the bathrooms and snort a line of MDMA. Wanting keep my buzz up a little longer I am easily coaxed into this.
T+4:10. Action and me are in the b-room stall. While he prepares the nose-candy, I miraculously manage to pee. So having not peed once during the night I am very happy. I snort the line and am happy to notice that it does not burn too much.
T+4:20, I am feeling extremely nauseous as the acrid chemical leaks down my throat.  I think Iím gonna puke eventually. Luckily my turkey supper is pretty far down the trap at this point. The insufflated MDMA has definitely not made my buzz better. I am no longer intense and have no desire to talk to peopleÖtotally introspective. I feel very stoned, similarly to an acid trip and am seeing some pretty intense tracers. Iím leaning my head on my friend ERís shoulder to comfort me in this nauseous state. The music is too loud & I wanna go home.
T+5:00, The rest of the people I am with decide itís time to leave. There is major confusion at the coat check area because I have lost my little ticket. I canít understand what the lady at the coatcheck is saying, too stoned. I finally get my coat back, at the cost of 5$ and am finally in the car on the way home
T+5:30 Visuals: I didnít see much talk in the other MDMA trip reports about OEVís. I have noticed that after re-dosing a few timed in the night, at the end of the buzz I start to get some major OEV action. But not the normal visuals like you get on shrooms, like patterns and auras. But crazy realistic hallucinations usually involving people that arenít really there. I dislike this kind of hallucination because they catch me off-guard. Iíll be staring at somebody and wondering why they are not moving, as I approach to check it out I realize the person turns out to be a tree or a garbage can.
I am now riding in Actionís car to go back to my place. I close my tired eyes for a second and reopen them and am shocked to see that my brother is driving the car instead of Action. I donít say anything for fear of appearing stupid, Iím pretty freaked out. So I rub my eyes and am surprised to see Action is back in the driverís seat.
T+5:35 Action stops the car and I find myself vomiting everything I had in my stomach. The puke has tracers!  Action notes that Iím talking like a retard, Iím not able to finish my sentences because I forget what Iím trying to say in the middle of them. MDMA destroys my short-term memory temporarily for a few hours after a trip.
T+6:15 I get home finally, I feel like a zombie. I head to the bathroom and start to wretch violently once again. Luckily my mom doesnít hear me. Stomach acids and tooth grinding are a bad combo. The most unsettling thing happens after I flush the puke. The water sound coming from the toilet is actually loud techno music (the sound has no bass though), I could hear it very clearlyÖI pray for it to stop and it does.  Sleep.
The Aftermath: After having woken up a million time to go pee during the night (100% full bladders each time), I wake up at 3 pm.  My nose is irritated/clogged from the snorting. I try to eat some yogurt but almost gag. Iíll stick to coffee.  However, I did not notice any significant increase in intensity during the trip, which 5-HTP is rumored to do when loaded up on for a few days before an E trip. Iíve taken similar doses of MDMA on many occasions so I have a point of comparison.
I have concluded that loading on 5-htp doesnít do much, although Iíll repeat the experiment again to confirm my hypothesis. On the other hand, I noted that in the following week, I did not suffer any mild depression like I normally do after such a trip. I attribute this to the 5-htp. So for those who have small bouts of depression after rolling Iíd suggest taking some 5-htp for faster mental recovery.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


contacts
| Address: | Machine Learning Group - Computer Science Department Université Libre de Bruxelles CP 212 - Office: 2.O8.212, Building NO (8th Floor) |
| Email: | jdestefa [at] ulb [dot] ac [dot] be |
| Address: | Machine Learning Group - Computer Science Department Université Libre de Bruxelles CP 212 - Office: 2.O8.212, Building NO (8th Floor) |
| Email: | jdestefa [at] ulb [dot] ac [dot] be |


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Use your project's local Bower dependency. This means you have `bower` in the `devDependencies` section of your package.json.
Optional. Usually set if your bower.json is located deeper down in the folder structure of your repository, or if there are multiple projects in this one repository. A valid value is something like "myproject/", notice the lack of a slash in the beginning.
Strict cache your modules according to an md5 hash of the bower.json. Any change will cause a fresh `bower install`, w/o the cache.
Loose cache everything, and run `bower update` and `bower prune` after restoring the cache.


 he did not balk as many in his place might have. he did as commanded and was emblazoned with a strip of red hawk along his skull and swathed with pants crafted from his very own piece of the milkyway.
jango mango tango is the worlds finest gummy aficionado. he has compared samples from across the globe and has the most trusted palate since mr haribo himself. in the event of an extraterrestrial gummy encounter, jango is the deciding force in allowing aliens into the galactic gummy academy.
cha chan is the epitome of class. she exudes fanciness and radiates elegance. as she enters a room doors swing open ahead of her, as she walks in the rain coats swoop down to cover puddles. for fear that her come hither gaze would be too strong she is never seen without sunglasses only further adding to her mystique.
jaffa isn't one for mediocrity. he's an all or nothing kind of guy. why have a sampling of gelato when you can tour italy to try every flavor? Why drink tropicana when you can have fresh squeezed morrocan OJ? just ask jaffa he'll tell you why.
kurty kurt wasn't always a runner, but as his muscles stretched and strengthened into a mean running machine so too did his mutton chops grow. and it was lucky they did because on a long run it's convenient to have a place to store some water and a snack.
warning. badass bitch. gives no fucks. wont take shit from anyone. approach with caution. be ready to take on an onslaught of blunt truths and real talk. would fight a bear for you, but has a strangely soft side. has been known to pick up stray cats and humans.
tyler is organically grown and organically raised, but he is not of this world. he comes from a land where culture dictates the sharing of elevator eggs, the burning of backpacks, and one stranger in every group photograph. he is a warrior of the new era.
larkas is a man of mystery. his beard the most elusive chin warmer imaginable. the moment you look him in the face his beard morphs and your memory is erased. it's impossible to know the form his beard holds and keep your sanity.


// all the typical initialization
var map = new Map(...);
var view = new SceneView(...);
// Create SceneLayer and add to the map
var sceneLayer = new SceneLayer({
url: "https://tiles.arcgis.com/tiles/.../NYCatt/SceneServer",
});
map.add(sceneLayer);
// only show buildings constructed before 1900
sceneLayer.definitionExpression =
"CNSTRCT_YR < 1900 AND CNSTRCT_YR > 0";


I figured a good, practical introduction to front-end web development would be useful for all those new to making websites, so this project centers around just that. Front-end web development is a good skill to have under your belt as a software generalist and it will allow you to prototype ideas in a quick and visual way. In this project, I’ll detail the process of making a personal resume-type website. The technologies that will be used are HTML and CSS.
HTML and CSS are the foundations of all websites and are commonly referred to as front-end languages, meaning it’s the part of the application that the users actually see. This can be thought of as analogous to the way an office is segmented. Although you see and interact with the people at the front-desk, there’s a lot that happens in the back to keep an office running. One of the best websites to learn HTML/CSS is here: Codecademy.com .


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As a paid subscriber, you can select unlimited number of financial instrument products. You can manage multiple virtual portfolios to watch how your favorite companies are performing. You will also be part of our future product initiatives. You can opt out or cancel your paid subscription any time from your Accounts page.


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Your pod $POD_NAME has been deployed to $NODE_NAME
For online documentation and support please refer to anywhere.eks.amazonaws.com


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This is the header, it will be followed by a body and hoping to see at the bottom a footer
Hi everybody and welcome to the wonderfull world of the universe
So Here is a form for you to try out
Before you start filling the form, try to think what do you want to convey, what emotion you would like to make
your audience feel
the first thing to do is read The bible
And here is some more text
Enter www.tmldog.com into your What kind of magic is this?
browser.


"""
@brief Base class for all Loaders. Defines the Loader interface
Loaders are responsible for reading dictionaries autocoded during the fprime
build process and converting them to python dictionaries with ids or names as
keys and data_template objects as values.
Additionally, because loading dictionaries is often time consuming, this loader
saves the python dictionaries with the path that produced them so that when
a dictionary from a previously used path is asked for, the dictionary can be
returned immediately.
The base class will return empty dictionaries for any path.
@date Created July 3, 2018
@author R. Joseph Paetz
@bug No known bugs
"""
[docs]class DictLoader:
"""
Base class for all loader classes. Defines the loader interface
Example:
l = DictLoader # Or any other derived loader class
id_dict = l.get_id_dict(path) # May take a second or two
name_dict = l.get_name_dict(path) # Returns immediately
"""
def __init__(self):
"""
Constructor
The base class constructor sets up the machinery so that id and name
dictionaries for a given path can be saved and thus not have to be
remade if they are asked for again.
Returns:
An initialized loader object
"""
self.saved_dicts = dict()
[docs] def get_id_dict(self, path):
"""
Returns the python dictionary keyed by ids for the given path
This function will return the same dictionary originally computed for
the given path or will construct new dictionaries if the path has never
been passed to the get_id_dict or the get_name_dict functions.
This function should not be overwritten by inheriting classes
Args:
path: Path to the file system dictionary to convert to a python dict
Returns:
The id dictionary associated with the given path
"""
if path in self.saved_dicts:
(id_dict, name_dict) = self.saved_dicts[path]
else:
(id_dict, name_dict) = self.construct_dicts(path)
self.saved_dicts[path] = (id_dict, name_dict)
return id_dict
[docs] def get_name_dict(self, path):
"""
Returns the python dictionary keyed by names for the given path
This function will return the same dictionary originally computed for
the given path or will construct new dictionaries if the path has never
been passed to the get_id_dict or the get_name_dict functions.
This function should only be overwritten by inheritting classes if
more arguments are needed to construct the dictionaries.
Args:
path: Path to the file system dictionary to convert to a python dict
Returns:
The name dictionary associated with the given path
"""
if path in self.saved_dicts:
(id_dict, name_dict) = self.saved_dicts[path]
else:
(id_dict, name_dict) = self.construct_dicts(path)
self.saved_dicts[path] = (id_dict, name_dict)
return name_dict
[docs] def construct_dicts(self, path):
"""
Constructs and returns python dictionaries keyed on id and name.
This function should only be overwritten by inheritting classes if
more arguments are needed to construct the dictionaries.
Args:
path: Path to the file system dictionary to convert to a python dict
Returns:
A tuple with two dictionaries: (id_dict, name_dict). They should
have keys of the id and name fields respectively and the values
for both should be data_template classes. This base class only
returns empty dictionaries.
"""
return (dict(), dict())


Minimal SELECT Structure
It is pretty hard to create a valid query when almost no information about the database or the query is known. This can also make testing pretty difficult. Fortunately, some database management systems support minimal query structures and it is possible to create a valid SELECT statements with minimal information.
No Column Name
Many SQL injection techniques, such as UNION attacks, require the attacker to determine the structure of the query. As explained in the articles presenting these techniques, it is possible to use system tables in combination with their columns’ name to generate a valid query. However, creating a minimal SELECT query would be much handier and it could speed things up. Below is an example of a query built with literal values.
SELECT statement with literal values.
SELECT 'a', 'b' FROM table_name
By using this approach, the attacker will quickly identify the number of selected columns and their data type. This syntax is valid on all DBMS.
Removing FROM Clause
In the same line of thoughts, the syntax of a SELECT statement will still be considered valid by some DBMS if the FROM clause is removed (as long as literal values are specified instead of column names). Below is a simple example where one row containing 4 values would be returned.
Valid SELECT statement without FROM.
SELECT 1,2,3,4
Here again, this is especially useful when the tester has to determine the structure of the SELECT statement to create a valid UNION attack. Here is a comparison of a classic UNION attack attempt versus one using a minimal SELECT.
Classic UNION test (testing with all strings first).
SELECT id, name FROM users UNION SELECT col, colB FROM systab
UNION test with minimal SELECT structure
SELECT id, name FROM users UNION SELECT 'a', 'b'
As I know, this syntax is only supported by MySQL and SQL Server.
Conclusion on Minimal SELECT
In order to efficiently test for SQL injection vulnerabilities efficiently you need to put all chances on your side. Knowing the minimal structure of a SELECT statement will definitively simplify your problems in some cases. To maximize your efficiency, you could also use this technique in combination with implicit numeric value conversion.


bob
`Prev `__
B
`Next `__
--------------
**bob**: n.
At `Demon Internet `__, all tech support
personnel are called “Bob”. (Female support personnel have an option on
“Bobette”). This has nothing to do with Bob the divine
drilling-equipment salesman of the `*Church of the
SubGenius* <../C/Church-of-the-SubGenius.html>`__. Nor is it acronymized
from “Brother Of `*BOFH* `__\ ”, though all parties agree it
could have been. Rather, it was triggered by an unusually large draft of
new tech-support people in 1995. It was observed that there would be
much duplication of names. To ease the confusion, it was decided that
all support techs would henceforth be known as “Bob”, and identity
badges were created labelled “Bob 1” and “Bob 2”. (“No, we never got any
further” reports a witness).
The reason for “Bob” rather than anything else is due to a
`*luser* <../L/luser.html>`__ calling and asking to speak to “Bob”,
despite the fact that no “Bob” was currently working for Tech Support.
Since we all know “the customer is always right”, it was decided that
there had to be at least one “Bob” on duty at all times, just in case.
This sillyness snowballed inexorably. Shift leaders and managers began
to refer to their groups of “bobs”. Whole ranks of support machines were
set up (and still exist in the DNS as of 1999) as bob1 through bobN.
Then came ``alt.tech-support.recovery``, and it was filled with Demon
support personnel. They all referred to themselves, and to others, as
“bob”, and after a while it caught on. There is now a `Bob
Code `__ describing the
Bob nature.
--------------
+--------------------------------+----------------------------+--------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+--------------------------------+----------------------------+--------------------------+
| boat anchor | `Home <../index.html>`__ | bodge |
+--------------------------------+----------------------------+--------------------------+


public interface IType
Within a repository, type objects are singletons and could be compared for
equality using equals()
or ==
.
| Modifier and Type | Field and Description |
|---|---|
static long |
NO_SIZE
Deprecated.
- This will be removed in 0.6 M3 - for validation use
IPropertyConstraintValidator |
| Modifier and Type | Method and Description |
|---|---|
java.lang.Object |
getAdapter(java.lang.Class clazz)
Returns an object that adapts this type to the given class.
|
long |
getMaxSize(java.lang.String propertyName)
Deprecated.
IInternalItemValidator should be
used instead. This method is too inaccurate for reasonable
string validation. This will be removed in 0.6 M3 |
java.lang.String |
getName()
Returns the name of this type.
|
java.lang.String |
getNamespaceURI()
Returns the namespace URI for this type.
|
boolean |
isAbstract()
Indicates if this type represents an abstract base class in the component
model
|
boolean |
isStringSmallEnough(java.lang.String propertyName,
java.lang.String value)
Deprecated.
use
#validateStringProperty(String, String) . This
will be removed in 0.6 M3 |
static final long NO_SIZE
IPropertyConstraintValidator
getMaxSize(String)
,
Constant Field Valuesjava.lang.String getName()
For built-in types, the names are the same as the ones found in the
corresponding API interfaces minus the 'I' prefix. For example, the name
of built-in contributor item type is "Contributor",
corresponding to the interface IContributor
.
The name of the type is also the base name for the EMF classes used to represent objects of this type.
null
java.lang.String getNamespaceURI()
The namespace URI of the type is also that of the EMF package that contains the EMF classes used to represent objects of this type.
null
long getMaxSize(java.lang.String propertyName)
IInternalItemValidator
should be
used instead. This method is too inaccurate for reasonable
string validation. This will be removed in 0.6 M3
For properties of type String
, this method will return
the guaranteed maximum number of characters allowed in the property
value. For properties of type other than string, this method will return
the constant value NO_SIZE
.
propertyName
- the property; must not be null
boolean isStringSmallEnough(java.lang.String propertyName, java.lang.String value)
#validateStringProperty(String, String)
. This
will be removed in 0.6 M3
#getMaxSize(String)}propertyName
- the property; must not be null
value
- the string that should be measuredtrue
if the string is small enough to fit under
the given propertyjava.lang.Object getAdapter(java.lang.Class clazz)
clazz
.
This method is used to get at the special API for objects of this type when possible.
PassEPackage.class
to get reflective access to the
underlying EMF package object (the one for the given
getNamespaceURI()
). From the EMF package one can navigate
to the EMF classes within it.
Pass EClass.class
to get reflective access to the
underlying EMF class object.
clazz
- the desired Java class; must not be null
clazz
, or null
if
this type could not be so adaptedboolean isAbstract()


Code Samples
"Leaning Geospatial Analysis with Python, 2nd Ed."
- PacktPub.com 2015, by Joel Lawhead
Links:
Field Data Collection Example using Python, Folium, and Leaflet


[§11-383] Exceptions. Notwithstanding sections 11-381 and 11-382:
(1) A party may support more than one candidate; and
(2) A candidate for the office of governor or lieutenant governor may support a co-candidate in the general election. [L 2010, c 211, pt of §2]


Bio
Say something witty about myself
Hybrid apps, like native apps, run on the device, and are written with web technologies (HTML5, CSS and JavaScript). Hybrid apps run inside a native container, and leverage the device’s browser engine (but not the browser) to render the HTML and process the JavaScript locally. A web-to-native abstraction layer enables access to device capabilities that are not accessible in Mobile Web applications, such as the accelerometer, camera and local storage.
Telerik post source
None of us were seasoned JavaScript/web developers
But, we accomplished the most important thing...
We shipped
Architecture
Heavily dictated by your framework choice, but there are still mistakes that can be made
Use an MV* architecture
MVC - Model View Controller
MVP - Model View Presenter
MVVM - Model View View Model
HMVC - Hierarchical Model View Controller
Etc...
Model
Model
We didn't separate our models from our views, and as a result we couldn't delete our views or we would lose state
Use the model to abstract your backend data structures from your frontend code
Share models between views/pages
View
Templates are your friend
I thought it would be a performance issue. Premature optimization
Keeps separation of concerns
Changing/iterating page designs was slow in JS
Lead to CSS mixed into the code
React users can happily ignore this advice
Controller
Guess how many controllers we had in our application...1
Not only that, we also integrated our router into our controller
Create a controller for each page
Even better, create a controller for each distinct UI component
Good Idea - Select a framework based on your existing skills, requirements, and features
Bad Idea - Select a framework for non-technical reasons
We used Dojo because the business used Dojo
Dojo didn't yet have a stable set of mobile widgets, no MVC support, not opinionated
Framework considerations
Mobile support
Performance
Ease of use
Maturity
Community
For a first app use a full featured MV* framework
With more experience you might also consider combining libraries to build a framework
Spend the time to make builds fast
How fast?
< 1 minute
why?
Set ambitious targets
Attention Span
On device testing
Fail fast
Avoid multi-tasking
Long builds force multitasking, and every study done shows that humans are bad at multitasking when performing mentally challenging tasks like programming
How
Partial builds
Parallel build steps
Faster build tools
What if we can't get our builds that fast?
Find ways to test changes that don't require full builds
PhoneGap/Cordova prerequisites
Platform SDKs (i.e. Android SDK)
For Android testing, a connected Android device or configured Android emulator
npm, node, and Android tools in your path
Installing PhoneGap/Cordova
npm install -g cordova
First App
cordova create my-app
cd my-app
cordova platform add android
cordova build
cordova emulate android
Using your own web code
Replace the content of the www directory with your content
Cloud based builds
Support for pushing updates to devices during testing
Would you say I have a plethora of testing options?
Oh yes, you have a plethora.
What is a plethora?
Desktop Browser
Mobile Browser
Official Emulator/Simulator
3rd Party Emulators/Simulators
Physical Devices
PhoneGap Developer App
Cloud Services
Test with a desktop browser first
Why?
Powerful emulation DevTools in Chrome
They just improved this function in Chrome 38
Desktop browser drawbacks
Useless for performance testing
Misses WebView/browser/vendor/device specific issues
These accounted for >50% of our defects
Hard/impossible to test device features
Probably 50% of our defects were vendor, browser, or device specific
iOS Simulator
Android Emulator
Android Emulator Alternatives
I haven't used either of these, so I can't vouch for their quality
Cloud Services
I don't have personal experience with any of these
3 years ago
Now
iOS
Since iOS 6, it's easy to connect to desktop Safari to debug
Android
As of 4.4 desktop Chrome DevTools can debug a webview
Alternative debugging tools
useful for debugging older versions of Android and iOS
Similar to the built in debugging tools, but with more limited function
A little difficult to setup and use
Performance
Performance
Performance
Are hybrid apps slow?
Compared to native apps
Does that mean I shouldn't develop a hybrid app?
No
It depends on the your use case
Scrolling
Persistent pain point of hybrid apps
Use native scrollable block elements, supported on iOS 5+ and Android 3+
overflow: auto;
-webkit-overflow-scrolling: touch;
Fix for iOS 7 issues with scrollable elements
Most of the mobile frameworks handle this already
How does a touch device recognize a double click/tap?
It waits 300ms after a tap to see if another one happens
This can be avoided with tools such as Fastclick
Most of the mobile frameworks handle this already
Network access can be slow
Create the UI in JavaScript, not on the server
Cache data locally where feasible
Minimize network requests
Sprite sheets
Compression
Combine and minify files
Images
Avoid SVGs
If shadows and gradients are needed, use images not CSS
Use the right image size, avoid scaling
Store images in app, don't download from server
Minimize Browser Reflows
Minimize DOM nodes and DOM nesting
Use CSS transforms
Use fixed widths and heights
Avoid loops that directly modify the DOM within the loop


{% extends "layouts/base.html" %} {% block title %} Charts {% endblock title %} {% block stylesheets %} {% endblock stylesheets %} {% block content %}
Book an appointment with a many trained mental healthcare professionals listed on EESZT


--- layout: default title: Home ---
Talk about a dream, try to make it real.
Department of Investment Economics, Graduate School of Chinese Academy of Social Sciences
Email<EMAIL_ADDRESS>Telephone: +86 130 5131 8337
Mailing Address: Graduate School of Chinese Academy of Social Sciences, Higher Education Park, Fangshan District, Beijing, China.


An Internet Protocol address (IP address) is a numerical label assigned to each device connected to a computer network that uses the Internet Protocol for communication. An IP address serves two main functions: host or network interface identification and location addressing.
Internet Protocol version 4 (IPv4) defines an IP address as a 32-bit number.[2] However, because of the growth of the Internet and the depletion of available IPv4 addresses, a new version of IP (IPv6), using 128 bits for the IP address, was standardized in 1998. IPv6 deployment has been ongoing since the mid-2000s.
An IP address serves two principal functions. It identifies the host, or more specifically its network interface, and it provides the location of the host in the network, and thus the capability of establishing a path to that host. Its role has been characterized as follows: "A name indicates what we seek. An address indicates where it is. A route indicates how to get there." The header of each IP packet contains the IP address of the sending host, and that of the destination host.
In networking, a packet is a small segment of a larger message. Data sent over computer networks*, such as the Internet, is divided into packets. These packets are then recombined by the computer or device that receives them.
A packet may contain any of the following components:
Routing is the process of selecting a path for traffic in a network or between or across multiple networks. Broadly, routing is performed in many types of networks, including circuit-switched networks, such as the public switched telephone network (PSTN), and computer networks, such as the Internet.
In packet switching networks, routing is the higher-level decision making that directs network packets from their source toward their destination through intermediate network nodes by specific packet forwarding mechanisms. Packet forwarding is the transit of network packets from one network interface to another. Intermediate nodes are typically network hardware devices such as routers, gateways, firewalls, or switches. General-purpose computers also forward packets and perform routing, although they have no specially optimized hardware for the task.
Adaptive Routing algorithm
-An adaptive routing algorithm is also known as dynamic routing algorithm.
-This algorithm makes the routing decisions based on the topology and network traffic.
-The main parameters related to this algorithm are hop count, distance and estimated transit time.
Non-Adaptive Routing algorithm
-Non Adaptive routing algorithm is also known as a static routing algorithm.
-When booting up the network, the routing information stores to the routers.
-Non Adaptive routing algorithms do not take the routing decision based on the network topology or network traffic.


You should not work with persistent data using session beans, which should represent business processes. Using entity beans is better.
Entity beans are persistent objects that can be stored in permanent storage.


The API will return an image response encoded as "image/png"
as content-type, representing the status
of the plugin requested in the URL.
You must pass the following parameters to this query:
For example, to query the status of plugin {{ name }} for python 3.3 and pytest version 2.4.2, hit this url:
/status/{{ name }}?py=py33&pytest=2.4.2


Thinking, reading, collecting, designing, making and playing around
I'm a software engineero working at Kythera Space Solutions working on the SATCOM industry's first near-realtime, dynamic, autonomous management system for next-generation, heterogenous, multi-orbit networks. I love to solve problems, especially ones that haven't been solved before. Whether it’s finding the most elegant way to write a function or figuring out how to arrange a print, I love the challenge of finding a way and discovering solutions. As long as there’s a problem to solve or a challenge to puzzle over, it’s bound to be something I love!
Outside of my studies I spend my time working with 3D printing, my student group RIT Space Exploration working on the rovers team, and other personal projects like SwimAid.
Let a team of students in the design and construction of a mock rover. This was new for me as there were a lot of unknowns that need to be answered before starting this project. It employed a multidisciplinary team for construction and development over two semesters.
A high altitude balloon, or HAB, is a very large latex balloon that depending on the size of the balloon and how much helium will take a small payload to around 100,000 feet or 30,000 meters in the atmosphere. The payload I helped integrate (WUAP) uses on-board image processing with a Raspberry Pi 3, Python 3 and OpenCV 3.3 to mask RGB images of the Earth and attempts to mask areas of high vegetation using colorspace transformations.
This project aims to develop a device for visually impaired swimmers which can track the 3D distance traveled and alert the swimmer when they approach the edge of the pool. The device uses an Arduino nano, buzzer, and well as a LSM6DSM1 IMU. THe device polls for accelerometer data and employs a 4th order Runge Kutta method to approximate the slope (distance).


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DIVIDED WE FALL Directed by Jan Hrebejk With Boleslav Polivka, Anna Siskova Plan B PG-13 122 min Subtitles
Divided We Fall, the Czech film that contended against hopeless odds with Crouching Tiger for last year's Foreign Language Film award, has been linked more conspicuously with an earlier foreign Oscar-winner, Life Is Beautiful. Both, it has been said, are movies that turn the warming light of comedy onto the darkness of Nazi atrocities during WWII.
The previews for Divided play up its comic aspect, but in truth, the Czech film has only the most passing kinship with its Italian predecessor. Roberto Benigni's movie used an overtly comic persona to establish a celebration of life that was able to push itself poignantly and resiliently up through the cracks in the pavement of Nazi horror. Jan Hrebejk's, in contrast, is about real people and real situations, into which a certain amount of humor naturally flows, even under the circumstance of Germany's wartime occupation of Czechoslovakia.
In a series of short scenes during the opening credits, Hrebejk runs us through the years leading up to the occupation. In the first, three men are out for a pleasant drive. They are David (Csongor Kassai), the son of a local Jewish industrialist; Josef (Boleslav Polivka), a management employee; and Horst (Jaroslav Dusek), the company chauffeur. The scene shifts forward a couple of years to 1939, and the Jewish family is being evicted from its estate by the Nazis, who have also confiscated the factory. Next it's 1941, and David and his family are being taken from the apartment of Josef and his wife Marie (Anna Siskova), where they've boarded for a couple of years, to be sent to a concentration camp. And then the action moves ahead two more years, to a gaunt and harrowed David escaping from the camp and returning to seek shelter in his old home town.
Nobody tries very hard to be funny in Divided. And when occasionally farcical situations arise in the course of events, as in a scene where David cowers in terror under Marie's bedclothes while she wards off the amorous advances of the Nazi collaborator Horst, terror easily balances the farce. There is nothing very funny about a life-or-death situation when the outcome hangs in the balance.
But Hrebejk's approach is that life, even under terrible circumstances, maintains an aspect of the human comedy. People are funny, whether intentionally or inadvertently. Josef has a quiet sense of humor when he's not cracking under the strain of the terrible risk he's running in sheltering David. Horst has no sense of humor – with a straight face he instructs Josef in how to keep a straight face so as not to let the Germans know what he's thinking.
Divided is illuminated by wonderful performances. Horst is a repulsive opportunistic boor, and yet Dusek plays him with a humanity that makes him real and justifies plot turns at the end. Kassai gives David's hunted terror the support of a quiet strength and dignity. Siskova makes the beautiful Maria a woman of practicality, uncertainty, and decency. And Polivka, one of his country's leading stage, television, and screen stars, brings tremendous depth to his role as Josef, a character he based in part on his father, who lost everything in the war, but `despite being half-broken and unhappy still retained a gentlemanly type of humor.'
`You wouldn't believe what abnormal times can do to normal people,' Josef remarks apologetically to David. Divided is about normal people in abnormal times that bring out the best and the worst in them.
========== X-RAMR-ID: 29211 X-Language: en X-RT-ReviewID: 244184 X-RT-TitleID: 1108216 X-RT-AuthorID: 2779
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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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.
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Related links: index of all rec.arts.movies.reviews reviews


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jQuery Reload
Duc Doan
Reload for
Element #1
Element #2
Element #3
Reload from
from
html/page-1.html
from
html/page-2.html
from
html/page-3.html
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The javadoc is available online.
The source is available from subversion. See the project page for instructions on how to download the source from subversion.
Requires ant to build with junit for testing, and optionally joda-time installed.
Once you've got ant
set up and installed,
run ant default
to build the jars and documentation, and then
read the documentation in the docs
directory. You can use the jar
at jars/rfc2445.jar
in your program.
To build without joda-time, run ant rfc2445-no-joda
and it will
produce a version of the jar without the joda-time compatibility classes.
Using the API is pretty easy. Pass in some ical and you get back a date iterable, which can be used in a for-each loop thusly:
// A compatibility layer for joda-time import com.google.ical.compat.jodatime.LocalDateIteratorFactory; // A Joda time class that represents a day regardless of timezone import org.joda.time.LocalDate; public class ThirteenFridaysTheThirteenth { /** print the first 13 Friday the 13ths in the 3rd millenium AD. */ public static void main(String[] args) throws java.text.ParseException { LocalDate start = new LocalDate(2001, 4, 13); // Every friday the thirteenth. String ical = "RRULE:FREQ=MONTHLY" + ";BYDAY=FR" // every Friday + ";BYMONTHDAY=13" // that occurs on the 13th of the month + ";COUNT=13"; // stop after 13 occurences // Print out each date in the series. for (LocalDate date : LocalDateIteratorFactory.createLocalDateIterable(ical, start, true)) { System.out.println(date); } } }
See RFC 2445 for the recurrence rule syntax and what it means, and the examples later in the same document.
If you use java.util.Date
and java.util.Calendar
in
your application instead of Joda-Time, you can use the
com.google.ical.compat.javautil
package instead to provide
Date objects.
If you make source changes, you can run ant runtests
to run
build and run the tests.


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Tags: music and stuff
Phase Selector Sound - Disassemble Dub
I’ve been looking for a dub record like this for so long, and it’s just sitting there in the drawer the whole time…
Release date: 1999-07-22
[8.8/10]
Christophe De Babalon - 044 (Hilf Dir Selbst!)
Gothic drum & bass. Man this is tight.
Release date: 2021-09-24
[8.6/10]
Curd Duca - Waves 2
Sequel to last year’s fantastic Waves 1
, and just as exhilarating to listen to.
Release date: 2021-11-12
[8.5/10]
Various Artists - Sound Storing Machines: The First 78rpm Records from Japan, 1903-1912
A compilation of really ancient Japanese music recordings. A sublime listen.
Release date: 2021-04-20
[8.4/10]
aya - im hole
Eerie experimental electronic pop. Claustrophobic stuff, and yet it is so good…
Release date: 2021-10-22
[8.3/10]
Grouper - Shade
Hypnotic bedroom pop / folk. Very stripped back yet powerful.
Release date: 2021-10-22
[8.3/10]
Richard Dawson, Circle - Henki
Old school prog rock meets Richard Dawson. Circle is one of the very few bands that do prog music like how Yes or Camel, and while this sound like an odd fit it’s actually very compelling.
Release date: 2021-11-26
[8.3/10]
Various Artists - “I Could Go Anywhere But Again I Go With You”
The music you hear when you enter a shrine in Breath of the Wild.
Release date: 2018-01-19
[8.2/10]
Novi_sad - Κεραυνός
Organic ambient music.
Release date: 2021-10-29
[8.2/10]
snd - Tenderlove
Minimal techno like how it should be. Pretty good. And I snatched it for 5 bucks…
Release date: 2018-09-10
[8.1/10]
The Stranger - Watching Dead Empires In Decay
Evil Caretaker be like.
Release date: 2013-10-28
[8.1/10]
Kid Koala - Carpal Tunnel Syndrome
Eccentric lo-fi hip-hop. Lots of fun to listen to.
Release date: 2000-02-22
[8.1/10]
Breakwater - Five 7"
Obscure emo / screamo gem. Pretty dope.
Release date: 1995
[7.8/10]
Soho Rezanejad - Honesty Without Compassion is Brutality, Vol. 2
Dramatic experimental pop music. On this album her vocal prowess is on full display - sometimes it sounds like Jenny Hval, sometimes it sounds like King Woman.
Release date: 2020-01-20
[7.8/10]
Marina Rosenfeld - Teenage Lontano
This is the recording of two different sound art happenings. The first suite is avant-garde choral music, glossolalia music?  Eerie stuff but oddly comforting…
Release date: 2021-10-15
The Bandcamp page for the album contains a lot more information, such as the locations and the meanings of those pieces.
[7.8/10]
Kidcrash - Jokes
Screamo-ish math rock. The riffs are pretty cool.
Release date: 2007-06-30
[7.8/10]
Succumb - XXI
Death metal. Pretty filthy stuff.
Release date: 2021-10-01
[7.7/10]
The Body, BIG|BRAVE - Leaving None But Small Birds
This is more folk than doom, the track Oh Sinner
sounds like it could be from a recent Earth album. The last two tracks feature grinding doom guitar riffs, but still retain a lot of the old time blues / country feel. Pretty good, I feel like The Body is better when they’re collaborating with other artists than doing their own thing…
Release date: 2021-10-01
[7.6/10]
BADBADNOTGOOD - Talk Memory
Fusion. The first couple of songs sounds like Dungen’s instrumental tracks, and overall it’s more jazz oriented than the lo-fi hip-hop sound they’ve been known for.
Release date: 2021-10-08
[7.5/10]
Full Of Hell - Garden of Burning Apparitions
The guitar tone in this album sounds more like alt rock than death metal… which I kind of enjoy. Some songs are less powerful than others but the ones that are good are really pretty good.
Release date: 2021-10-01
[7.5/10]
Shackleton - Departing Like Rivers
Mystical tribal electronic music.
Release date: 2021-09-10
[7.4/10]
Youth Novel - Youth Novel
Screamo. In terms of song structures this one isn’t exactly groundbreaking, but it does have some pretty decent riffs.
Release date: 2021-02-14
[7.3/10]
Leah Dou - GSG MIXTAPE
Chill-hop. Not bad but not really my mood.
Release date: 2020-11-28
[7.3/10]
Trustfall - Trustfall
Gothic pop. Kind of reminds me of a more restrained Arca or a more approachable David Sylvian. OK but not great.
Release date: 2020-03-20
[7.2/10]
James Blake - Friends That Break Your Heart
Electro-indie-pop. This is definitely better than 2019’s Assume Form, but is still no where near his self-titled LP from a while back. The songs that features only himself are better than the ones with other featured guests.
Release date: 2021-10-08
[7.1/10]
Busdriver - Jhelli Beam
Experimental hip-hop / abstract rap. I get that the dude must be really talented but his talents are definitely not on full display in this album.
Release date: 2009-06-09
[6.3/10]
當代電影大師 - 告訴我他們都在本來的什麼地方
There is a pretty drastic improvement from their EP to this one. I still dislike the vocals (and the lyrics… man are they cringey), and overall the songs are all lacking in the bass frequencies, though this is due to Spotify shitting on qualities of uploaded songs… But the songs where they appropriated other bands like 草東 or 透明雜誌 are fun to listen to.
Release date: 2021-11-05
[6.3/10]
Portrayal of Guilt - CHRISTFUCKER
Another lackluster release from once-promising hardcore band… maybe this is what should’ve been expected all along…
Release date: 2021-11-05
[5.8/10]
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