TiMAT2 Usage
This is an outline on how to use TiMAT2 (aka T2) to process your tiling microarray data.
The applications are designed to be user friendly and require only moderate familiarity
with command line programs. When in doubt type 'java -jar pathTo/T2/Apps/ApplicationName' to pull a menu of options.
See the readme file for installation instructions.
General Recommendations:
- I think it important to have three replicas for every experiment. These don't necessarily have to be biological replicas, e.g. three different isolates of a fibroblast cell line processed in parallel. Technical replicas in most cases are preferred, e.g. pool multiple plates of fibroblasts and split it after fixing/lysing/preparing chromatin and process in parallel. Technical replicas are extremely informative. They provide a measure of the sample prep/ microarray processing consistency without any confounding biological variability.
- If you choose to only go with two replicas be prepared for lots of qPCR validation. The symmetric null method of confidence estimation works reasonably well for non complex organisms but rarely for human or mouse. Three IPs and three input replicas are the minimum needed for a random label permutation confidence estimation.
- It is rather critical to perform all of these preps using the same reagents, same equipment, at the same time, etc. Be prepared to throw out all of the data generated during the pilot/ optimization phase of the experiment and repeat it along side the other samples. If you do plan to make use of the pilot data, prep/ IP/ amplify in parallel the other technical replicas and freeze them while deciding if the pilot worked, if so, then run the matched samples. One good way to kill a tiling experiment is to prep samples on different days using different reagents and expect some sort of magic to happen upon hybridization and anlysis. Technical inconsistency is the primary cause for tiling microarray failure.
- For two color arrays, there is no need to have a matching input control on every chip. You can treat the different colors independently and think of them as a way of getting two readouts from the same chip. For example, if I performed a ChIp-ChiP experiment with 4 antibodies on the same fibroblast cells I would use 9 chips. For each antibody, I would prepare three technical replicas, and label them with Cy3 or Cy5 and place them on different chips. I would do likewise with one input sample split to three technical replicas. For the last sample, I would perform mock IPs, three technical replicas, using IgG or a non specific antibody, e.g. anti-GST or anti-FLAG. See below.
- For your experiments involving an IP, consider performing a mock IP using IgG or an antibody that doesn't bind anything within your sample, e.g. anti-GST or anti-FLAG. It is best to use a type matched antibody. TiMAT2 is set up to generate empirical FDRs based on the mock IP and is a great way to estimate confidence in your real IP data without having to perform exhaustive qPCR. One consideration though, it must be performed in parallel with the real IPs. Subtle differences in washing and amplification really effect the output.
- Don't over wash your beads during the IP. Use the minimum number of washes (3x 5min?) that give good fold enrichment for known targets by qPCR. Over washing can lead to a PCR bottle neck effect where a small number of regions get overly amplified and will look exactly like real regions on the microarray even though nothing specific was pulled down by the IP.
- You might want to prepare twice the amount of chromatin you will need to be sure to not run out if and when parts of the experiment need to be repeated.
- Save enough pooled pre amplification real IP and input material for ~50 qPCR rxns each.
For ChIP-chip experiments:
- Perform:
- Three technical replicas for each anti-transcription factor antibody (i.e. hybridize three independent parallel processed IPs to three chips)
- Three technical replicas for a mock IgG IP.
- Three technical replicas for just input chromatin.
- Commercial chips are very consistent. Technical repeats (using the same hybridization solution on different chips) are unnecessary and can emphasize false positives in certain testing situations.
- For Affy data, skip mismatch transformation for ChIP-Chip experiments. Just median scale intensity values to 100 and quantile normalize across all chips.
- Use the Correlate app to check the correlation coefficient between your replicas and appropriate clustering of like chips.
For IPs, the r^2 values between replicas should be > 0.5 (or 50 for 100 *r^2). These should typically be > 0.8.
If they are less than these values your IP/ PCR/ labeling protocols must be optimized. It cannot be emphasized enough to not proceed with the full experiment until these
values have been achieved. Otherwise, considerable time and money will be wasted. Garbage in = garbage out.
Speckles and spots on the chip can throw the correlation coefficient. If this is the case, use full quantile normalization and the robust pseudo median window scanning statistic.
Required Resources:
- Java version 1.4 or greater.
- These command line applications have been tested on MacOSX and Linux. They have not been tested on a Windows machine. All the source code, with extensive documentation, is included in the TiMAT2 package.
- A computer with > 2 GigaBytes RAM. One can use a machine with less memory but some programs will run rather slowly, hours instead of minutes.
Processing Protocol:
Tiling analysis follows five basic steps:
- Obtain or make map file(s) to associate microarray intensities with genomic coordinates, release specific
- Normalize raw microarray intensities
- Map normalized intensities to the genome
- Use window smoothing to create an array of window summary scores
- Identify enriched (and or reduced) regions by picking a threshold summary score and merge overlapping windows that exceed the threshold
Obtaining Map files
- TiMAT2 uses the Affymetrix tpmap file format. This is a text version of the binary probe map file, bpmaps. A bpmap can be converted to a tpmap using the bpmap2tpmap command line utility. Since this tool is not officially released ask your Affy rep for the tpmap version of the officially released bpmaps.
- TPMaps can be generated from the NimbleGen NAD files using the ConvertNimblegenNDF2TPMap app.
- TPMaps might be generated from the Agilent txt results file, provided sequences are present, using the ConvertAgilentData app.
- You can create your own, it's a simple tab delimited txt file containing:
- Two comment lines: '#seq_group_name' and '#version'
- Oligo sequence (5'->3', sense strand)
- t or f (boolean describing whether the real oligo on the microarray will hybridize with the sense target strand)
- Chromosome
- Start position of the oligo, zero base coordinates
- Perfect match X microarray coordinate
- Perfect match Y microarray coordinate
- (Optional) Mis match X microarray coordinate
- (Optional) Mis match Y microarray coordinate
- (Optional) Mystery number 1 (for backward compatibility?)
- Example of a Sense, PM only tpmap
#seq_group_name
#version
ACAATGTACAATACCGAAGGACTATTGCAGATAAATTCTTACAAGGTGATGTACGTGATC t chr1 0 290 2061
TGTAGGTCATGGGCTAGAAAGGCAAACTTGATATCGTTAGTTTACTATGCTTGGAACAAT t chr1 55 489 2571
TTGTGGTTTGACAAAGTTTGAACATGCCGACAGTGATATGGCTTACACTTCTGACTGTAG t chr1 110 422 781
ACCACAACTTGCGAGAATGTAAACTACGTATTCGATTTCAAGGACTTTGTTTATTTTGTG t chr1<PHONE_NUMBER>
ACCGGGAAAGCATGCCCCGTACGCTTATCTACTTGTTATAAATGTGGCAAGGCCGACCAC t chr1 220 25 3181
AGATGAATGTCTAAGTTGCACTCTTGGTAACCCAGACACAGAAATTCGTGCTCATACCGG t chr1 275 279 411
GGGTAGACTCAACTGACATTTCAGCACAACTCGAGCGATTCTTTCGAGTGTATAAAGATG t chr1 330 130 371
CGTACCATTCATTTCGCCGAGTATAAAAGTCGTGTGCAAGCCGTCAAAAAACAATGGGTA t chr1 385 519 951
...truncated...
Building Map Files
Building map files is a very complex process fraught with many pitfalls. It should only be performed by tiling microarray professionals.
- Obtain fasta files for the genome you wish to map. Complex organisms should be RepeatMasked with X's or N's, not lower case.
- Convert the fasta headers into the convention used by UCSC and IGB. (e.g. > chromosome 1 : NCBI build 35.1 to >chr1)
- (Optional) Obtain control sequence fasta files containing control sequences (bacterial, arabidopsis, intergenic regions...) include these with the genomic sequences. You may also like to create one particular fasta file and call it chrCtrls.fasta. This can be used in median scaling during array normalization.
- Create or obtain a xxx.1lq file. This can be obtained directly from your Affy rep. Do not use a rotated 7G specific xxx.1lq file. For NimbleGen and Agilent, you will need to create it. The PrintSelectColumns app may be helpful. You'll need to copy and paste entire columns and most spread sheet applications cannot handle the large sized map files. You may also need to transform the array coordinates into zero based coordinates. It is a tab delimited txt file containing:
- A variety of header lines only one is required 'X Y Seq Destype'
- X coordinate on the array (zero based)
- Y coordinate on the array (zero based)
- Oligo sequence (the original 1lq format specified 3'-5', you can leave it 5'-3' and throw the appropriate flag in MummerMapper)
- Destype (the original 1lq format specified a number used to describe the class of oligo, PM, MM, S, AS, Bright Control, Dark Control, etc. You can put anything here and use a regular expression in MummerMapper to select appropriate probes to map.)
- Example of a custom xxx.1lq file that can be read by MummerMapper:
X Y Seq Destype
0 3 TATATTTCTGCATATACATCATAGTCTCTAAAAACTGTACTAGGTCATACTCCATAGAGG Spo_P101594-R|Spombe|complement_chr2:8636..8695
0 4 AGTTATGACGAGCTTTGGAACGTTTATGACGACTGTTAGGATCGCAGTTTCCTGAAGTCT Spo_P110716-R|Spombe|complement_chr2:511391..511450
0 5 TCGTAGACCATCAAAAACTGTAACGAATAGTTCCAAAACGGTCACCACTAGACTTAGCAC Spo_P022386|Spombe|chr1:1232221..1232280
0 6 GACAATAATTTGGCGGCGCTGCTACCAATATAGCTGGAAGCAGTAAAGTATTAATCGTGC Spo_P043768-R|Spombe|complement_chr1:2408231..2408290
0 7 TAGGCTAAGCATCGAGTTCATGGCTAAATTAATAAAAGACTTTAAAAGTTTGTTAAAATG Spo_P000762-R|Spombe|complement_chr1:42901..42960
0 8 CCACGACCTTTTCCGTGAGTCCGGGGGTTGTAAGTCTTCTTTATACCGTAGCGGGTAGAA Spo_P041016-R|Spombe|complement_chr1:2256871..2256930
0 9 CATCAGCTATGAACTTTCACTTTTGTCTACAACTTTTTTAATCAGCTACAAATTTACAAA Spo_P042235-R|Spombe|complement_chr1:2323916..2323975
0 10 CAGGATTACAACAGGTTAAATGTCGATTTAACAAGGAAAGACTTACGTCACCACAGAGAA Spo_P105785|Spombe|chr2:240186..240245
...truncated...
- Run the MummerMapper app. Questions to address:
- How many exact matches to allow?
- Stranded? S, AS, or Both?
- Which probe Destypes?
- (Affy specific) Is this to be used on a pre 7G or 7G scanner?
- Are you loading large mammalian chromosomes? Run on a 64 bit machine!
- Do you want partial matches? What is the minimum sized oligo to match?
- Do you need to reverse the oligo sequences?
- Are MM oligos present?
- Test, test, and test the finished tpmap using known datasets. One mistake may create hundreds of hours of analysis headaches later on. Building tpmaps is a lot like taking pictures for your friend's wedding. Sounds easy but mess it up and you'll be mistrusted for life.
Convert Raw Microarray Data Into xxx.cela Files
To use T2 you must convert your raw microarray intensity data into a format that can be read by TiMAT, serialized binary Java float[][] files. These are compressed, load quickly, and are used by multiple TiMAT2 applications.
- Affymetrix text xxx.cel files can be converted to xxx.cela using the CelFileConverter app.
- Affymetrix binary xxx.cel files can be converted to text xxx.cel files using the CelFileConversion tool
- Agilent xxx.txt results files are converted to xxx.cela using the ConvertAgilentData app. This application parses the processed intensities and raw intensities. The later are recommended for use in T2.
- NimbleGen text xxx.PAIR data files are converted to xxx.cela using the ConvertNimblegenPAIR2Cela app.
Option 1: Process your tiling data using the T2 application (Standard Analysis)
The T2 application is a wrapper for many TiMAT2 applications and can work with a cluster to farm out big jobs for rapid analysis.
- Convert your raw intensity data to binary xxx.cela or text xxx.cel files, see above.
- Create processed TPMapFiles by running the TPMapProcessor app on your tpmap file(s).
- Complete the t2ParamaterFile and launch the T2 app.
Option 2a: Process your single chip set tiling data using individual TiMAT applications (Custom Analysis)
This approach can be used to customize your analysis for non standard tiling experiments. Many options exist here that are not available in the T2 app.
- Convert your raw intensity data to binary xxx.cela files, see above.
- Create processed TPMapFiles by running the TPMapProcessor app on your tpmap file(s)., pay close attention to the size of the window option.
- (Optional) Run the VirtualCel application on a directory of converted cel files (xxx.cela) to create image files for visual inspection. Any large spots should be masked using the CelMasker app.
- Run the CelProcessor app on sets of xxx.cela files to scale, normalize, and map the data. This application generates xxx.celp files.
- (Optional) Use the ScatterPlot to draw a simple scatter plot and calculate a Pearson correlation coefficient on processed cel files. For example, compare the different treatment chips to one another. There should be a good internal correlation (>=0.8).
- (Optional) Use HierarchicalClustering to cluster your xxx.celp files. Any file that fails to cluster with an r^2*100 value of > 50 should be removed from the analysis.
- Run ScanChip
- (Optional) Run ScanGenes to perform a basic expression array analysis using your tiling data.
- If you have performed mock IPs, run the FDRWindowConverter app to calculate an empirical FDR for each window.
- Merge high scoring, overlapping Windows into an array of Intervals with the IntervalMaker application. The biggest difficulty is where to set the threshold for merging windows. Two confidence estimations are provided by TiMAT2: an empirical FDR based on a mock IP and a statistical FDR based on Richard Bourgon's non-parametric symmetric p-test. Set these generously and manually filter. If you have multiple replicas, or have used different antibodies you can merge the different Window arrays using the MultiWindowIntervalMaker app.
- (Optional) The SetNumberIntervalMaker can also be used to make multiple interval arrays, each containing a specific number of intervals. This is useful, and recommended, for analysis independent of thresholds.
- Load the interval array(s) with oligo information using the LoadIntervalOligoInfo app.
- For chIP-chip data, find the best average intensity difference sub window within each Interval, as well as enrichment peaks using FindSubBindingRegions.
- (Optional) Score Intervals for the presence of a transcription factor using ScoreIntervals. You can also score whole chromosomes or a set of FASTA sequences using ScoreChromosomes and ScoreSequences respectively.
- (Optional) Filter Intervals with a variety of parameters using IntervalFilter. Sorts intervals into pass and fail.
- (Optional) Compare and split different Interval sets based on their overlap with the OverlapCounter. Use the IntersectRegions app for a more robust and sophisticated analysis.
- Print results:
- Print interval plots for processed intervals using IntervalPlotter. These are graphic representations of the individual oligo intensities for each data set, the averaged treatment chip, the averaged control chip, the intensity difference, the intensity ratio, smoothed (trimmed mean) ratios, as well as hits to a position specific probability matrix, number of matches, and the best window, and the best sub window. These plots can be saved to disk as PNG files or manipulated directly to print chromosomal coordinates for a point or region (including the genomic sequence).
- Print interval reports in a spread sheet or page format using IntervalReportPrinter.
- Print Intervals as .sgr files for import into Affymetrix's IGB browser with IntervalGraphPrinter.
- Print all the oligo values as .sgr files for import into IGB using OligoIntensityPrinter.
- Print any serialize int[] (ie processed xxx.celp files) associated with each oligo in the tpmap file as .sgr files for import into IGB using IntensityPrinter.
- Print the Intervals in GFF3 format with IntervalGFFPrinter.
Option 2b: Process your multi chip set tiling data using individual TiMAT applications (Custom Analysis)
Multi-chip set analysis is very similar to single-chip set analysis and is the pipeline wrapped by the T2 app. The key differences are noted below.
- Set the -r flag when running the CelProcessor app to break the mapped intensities down by chromosome. The results in this case will be a directory instead of a single xxx.celp file for each array.
- Run the MakeChromosomeSets app to merge the chromosome specific normalized data directories together.
- Run ScanChromosomes instead of ScanChip.
- Run MergeWindowArrays if you processed individual chromosomes in ScanChromosomes.
- Use the LoadChipSetIntervalOligoInfo instead of the LoadIntervalOligoInfo.
Useful higher level analysis and utility applications
Be sure to check out the General Analysis and Utility applications. They might save you days of coding.


The following document contains the listing of user tags found in the code. Below is the summary of the occurrences per tag.
| Tag Class | Total number of occurrences | Tag strings used by tag class |
|---|---|---|
| @todo | 0 | @todo |
| TODO | 9 | TODO |
Each tag is detailed below:
Number of occurrences found in the code: 9
| au.gov.amsa.ais.NmeaStreamProcessor | Line |
|---|---|
| else report error, might need to change signature of listener to handle problem with multi-line message | 118 |
| au.gov.amsa.ais.message.AisShipStaticUtil | Line |
| unit tests | 5 |
| au.gov.amsa.ais.rx.NmeaGzToCsvMain | Line |
| add latencySeconds | 89 |
| add latencySeconds | 110 |
| au.gov.amsa.ais.rx.Streams | Line |
| decode | 185 |
| latency | 190 |
| au.gov.amsa.util.nmea.NmeaMessageParser | Line |
| validate message using checksum | 48 |
| decide what value to put here | 52 |
| au.gov.amsa.util.nmea.saver.NmeaSaver | Line |
| monitor the count of these JIRA ER-2878 could not parse the message, ignore log.warn(e.getMessage() + ":" + line, e); | 110 |


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---
layout: post
title: 'The Boy Least Likely To: "Saddle Up" (MP3)'
date: '2009-08-11T14:32:04-07:00'
tags:
tumblr_url: http://alexhwilliams.tumblr.com/post/160784540/the-boy-least-likely-to-saddle-up-mp3
---
The Boy Least Likely To: "Saddle Up" (MP3)
Jut heard this on the KEXP podcast: "Music That Matters." Fun tune.


 Please be patience . . . .
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OPTC-themed Playing Cards!
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Full deck with One Piece characters and OPTC in-game art.
54 cards (4 suits x 13 cards + 2 jokers), and special designed box!
Standard Poker cards size - 3.5in x 2.5in.
All selected and edited by hand.
Download, print and enjoy!
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I'm a Raleigh transplant from Cleveland, OH. I just love building websites and apps that are functional, fun, and improve the lives of everyone who uses them. I graduated from Tech Talent South, a full stack coding bootcamp, in November 2016. Since then, I have been working on a few personal projects as well as starting my blog.
Other than coding, I love my dogs, reading books (personal development is my thing), and exploring the world. I have been a driver for Uber & Lyft for two years, and I thouroughly enjoy talking to drunk people and getting them home safe. It's way more entertaining than it sounds!


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The user interface (UI)
is everything designed into the product
with which a person may interact.
The user experience (UX)
encompasses all aspects of the
end-user’s interaction with the products.
How can we reach a new level?
Most of engineers who don’t know WebGL
would answer that
it is interface for using 3D on browser.
But, that is incorrect. Most important part of WebGL is
That is interface for using GPU on browser.
Of course, GPU is mostly used for graphics stuff including 3D.
But, the possibility is not so limited.
To do fast graphics,
you really need the parallel processing power.
Multiple cores
CPU
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Evolution into the WEB
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GLSL
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GLSL features
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Our district is distributing 13,000 iPads in the next 24 months. We have ~1,300 staff who need to be trained on instructional methods with technology in addition to functional training on a new platform, using GSuite effectively and building a course in Canvas.
Training has been touchpoint number one for our team. We’re not in a culture where it’s normal – or expected – for you to go research and try something before requesting in-person help. Before this year, there was no in-person help. When I started this role in July, we were starting from ground zero. To handle how-to requests, we started a YouTube channel and a simple ticketing system. On Mondays, we host some simple how-to training workshops to get functional basics down. Otherwise, all of our training has focused on instructional changes in the classroom.
The hardest thing about building a culture of exploration and self-driven growth is the temptation to just fall back on what would alleviate people’s stress, but not actually solve the problem. Designing an effective workshop is much more than answering the questions asked. We’re constantly evaluating ways in which we ask teachers to engage with the principles of instruction we’re modeling without falling into the trap of giving lesson templates to be repeated throughout the district.
Orange Flowers Ruin Camouflage flickr photo by mikecogh shared under a Creative Commons (BY-SA) license
It’s difficult to model a lesson completely void of content. In fact, I think it would be bad practice to do so because ignoring content for the sake of context is a disservice to students. Content is important. But, in this case, it needs to be the backdrop. The lesson we’re modeling may be based on science, but we want to pull out the instructional practices that can be applied anywhere, not just in the immediate context. We use “metacognitive moments” embedded at strategic points in the task which ask teachers to identify what would work in their situation.
Stemming from moving beyond content, my content expertise is in high school science. We focus on helping teachers apply the methods we’re modeling to their classroom using their expertise. I cannot tell an elementary english teacher to model the lesson in exactly the way I did. But, I can ask probing questions and push that teacher to reflect on what the principles of the lesson are, where they’re already utilizing those ideas, and where they could implement more.
Trigger phrases can immediately drop the level of discussion. Compare and contrast is especially egregious because people – teachers and students – fall back to a two-circle Venn diagram to complete the task without analyzing the problem. Action verbs are important…we do want people to compare and contrast, but we avoid the trigger attached to the status quo.
When you’ve never had training on changing practice, you don’t know how to think big. Or, you don’t feel empowered to take the risks. Our workshops are often the first time a teacher has been encouraged to express agency and implement the big ideas. We regularly get emails weeks after a workshop where a teacher has taken something they’d learned and implemented it successfully. Excitement is palpable and it pushes them to continue to try new things.
“Hacking” education is all the rage right now, but the term comes with baggage. I don’t want teachers to feel like they need to be “hip” or a “rockstar” to change practice. We ask them to repurpose something – a tool they use regularly – to accomplish a new task. danah boyd talks about using Wikipedia article discussions to teach lessons about history, culture, and context in her book, It’s Complicated (jump to page 190 for the example). The idea is simple in merit but difficult to implement, especially if you’re not used to thinking beyond the immediate function.
Written on April 25th, 2017 by Brian Bennett Categorized in: All Technology
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黒の手番です。54 はどう動かしますか？
0-0:5pt
pips Black=159 White=153
(CorrectAnswer= 0/0, ErrorScore= 0)
1. 24/15 eq:-0.348 43.23% (G:12.49% B:1.16%) 56.77% (G:22.70% B:0.97%) 2. 13/9 13/8 eq:-0.414 (-0.065) 41.19% (G:13.35% B:1.22%) 58.81% (G:20.51% B:1.62%) 3. 24/20 13/8 eq:-0.438 (-0.090) 41.31% (G:12.77% B:1.21%) 58.69% (G:24.30% B:1.11%) 4. 13/4 eq:-0.465 (-0.117) 39.60% (G:11.24% B:0.58%) 60.40% (G:20.79% B:1.55%) 5. 13/8 6/2 eq:-0.518 (-0.170) 37.52% (G:10.58% B:0.57%) 62.48% (G:21.79% B:1.45%)


| core.feature.sleep_duration.SleepUnsupervisedPredictor | index /home/a/CCdoc/CerebralCortex-DataAnalysis/core/feature/sleep_duration/SleepUnsupervisedPredictor.py |
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In the Outline View the Get Info command can generate one of four different dialogs depending on what is selected. If a single thing is selected, and that thing is a point then the point info dialog is brought up, if it is a reference then the reference dialog is brought up, if it is a background image then the image dialog is brought up. If it is an anchor point then the anchor point dialog is brought up.
This shows information about the current point. The Base position is where the point itself is.
The Next CP shows both the location of the next control point, and the offset to that point from the base (and whether this setting is the default for that point, if this point is the last on an open contour then the [] Default button will be grey), underneath the offsets it shows the same information in a different format -- as a distance from the point itself, and the angle to it.
The Prev CP does the same for the previous control point.
You may change any of these and the change is reflected in the outline view. Your changes are constrained by the point type (for instance with tangent points, you may not change the angle fields as these are fixed).
FontForge also shows you the curvature of the two splines on either side of the point. In a perfect world these will be equal for curve points and the join will appear smooth. It also shows the difference between the two. The curvature is the reciprical of the radius of the circle tangent to the curve (a straight line has curvature 0 because it is a circle with infinite radius so its reciprical is 0). For most curves in letters this radius is fairly large when expressed in em-units (and its reciprical is correspondingly small). To make it easier to read, FontForge scales it by the em-size of the font -- this is equivalent to expressing it in units where 1 corresponds to an em (rather than 1000 or 2048).
You may also change whether a point is a curve, corner or tangent point (Caution: Changing from a corner point to a curve point and back to a corner point is NOT a no op. It may change the control points) You may move on to the next or previous point on the path, or the next/previous point of the current contour. If you cancel then all changes to all points are canceled.
The colors of the labels reflect the colors of the items they refer to. The point itself will be drawn in red, the previous control point will be drawn in magenta and the next control point will be drawn in dull cyan.
When editing truetype interpolated points it is more important to view the control points and let the base point continue to be interpolated. The <> Normal and <>Interpolated radio buttons control which view is active.
Pressing <> Interpolated may move the point to position it correctly
for interpolation.
If you want to control what hints are active at a given point (and at all subsequent points until an new hintmask is given) you can use the hint mask pane. This provides you with a list of all hints in the current glyph, you should select the ones which you want active.
As you select hints, the glyph view will darken those hints so you can see what you've selected.
Points with circles drawn around them have hintmasks.
According to Adobe's documentation you should never have two hints which conflict active at the same time. FontForge will warn you if you do this. Unfortunately there are fonts (even fonts from Adobe) which do not follow this rule, so I have made this a warning rather than an error.
Remember to hold the control key down when making disjoint selections.
Sadly the direction in which hintmasks apply is backwards from what you would expect (the hintmask applies to this point an all previous points on the contour, rather than all subsequent ones).
This looks just like the hint mask, except you cannot change anything it in. It shows you what hints are currently selected at this point. If a point has a hint mask then the two will be identical.
If you are editing in spiro (clothoid) mode rather than Bezier mode, then there are no control points and the get info dialog is much simpler. Just the location of the point and the point type.
This dialog shows the selected anchor point with the anchor class, location, type and (for ligatures) the ligature index. You may change any of these attributes (as long as your changes are reasonable). You may create new points or delete the current one. As with normal points above you may step through all the anchor points in your glyph.
In a truetype font you can force the anchor to track a contour point in the truetype glyph. This point can then be manipulated with truetype instructions to grid fit it properly with the current rasterization.
Anchor points may also be created with the
Point->Add Anchor command.
This dialog shows the name of the selected reference, its encoding in the font and its postscript transformation matrix. You may alter the transformation matrix if you desire.
The transformation matrix maps points in the glyph being refered to into
their location in the current glyph:
xcurrent = TM[1,1]*xref +
TM[2,1]*yref + TM[3,1]
ycurrent = TM[1,2]*yref +
TM[2,2]*yref + TM[3,2]
The Use My Metrics checkbox is useful in truetype fonts where it forces the metrics (width) of a composite glyph (for exampe acute a) is the same as the metrics of one of its components (for example a). This is especially important in fonts containing instructions that might modify a glyph's width.
The Round To Grid checkbox is also used in truetype hints and indicates that the translation should be rounded to the rasterizer's grid before being applied to the points of the reference. This means that the grid-fitting done by the reference's instructions will still be useful in the composite.
In a truetype font a reference may be positioned by matching two points, one in the base character, and one in the reference itself. In the example at right, the reference to "acute" will be moved until point 12 in "acute" is at the same place as point 33 in the base glyph. The glory of this method is that the truetype instructions assocated with the glyphs can move these points around to an appropriate location for the current pixelsize.
Points in a composite glyph are numbered by counting the points of the first component, adding 4 (for the 4 phantom (metric) points), then counting the points in the second composite, adding 4, etc. The first composite is the one which is drawn first, not the one which is added first. The Base numbering scheme is from the full composite, while the reference point is numbered by the current reference. The current reference must be drawn after the base point. You may use Element->Order to reorder the references.
(You should probably not set Round To Grid when doing point matching)
The bounding box information is informative only and displays the current location and size of the reference.
The [Show] button will open a glyph outline view showing the glyph being
referred to.
This dialog gives the offset to the lower left corner of the image and the scale factors applied to the image. Currently you may not alter anything here, it is purely informational.
See Also:


MSErrorLogSetting
enum MSErrorLogSetting {}
Error Logging status.
-
Crash reporting is disabled.
Declaration
Objective-C
MSErrorLogSettingDisabled = 0
Swift
case disabled = 0
-
User is asked each time before sending error logs.
Declaration
Objective-C
MSErrorLogSettingAlwaysAsk = 1
Swift
case alwaysAsk = 1
-
Each error log is send automatically.
Declaration
Objective-C
MSErrorLogSettingAutoSend = 2
Swift
case autoSend = 2


Home > Data Structures and Algorithms Questions
Below is a compiled list of Data Structures and Algorithms interview questions that will help you conquer that upcoming interview of yours!
Given a list of words, each word consists of English lowercase letters.
Let's say word1 is a predecessor of word2 if and only if we can add exactly one letter anywhere
in word1 to make it equal to word2.
For example, "abc" is a predecessor of "abac".
A word chain is a sequence of words [word_1, word_2, ..., word_k] with k >= 1, where word_1
is a predecessor of word_2, word_2 is a predecessor of word_3, and so on.
Return the longest possible length of a word chain with words chosen from the given list of words.
Input: ["a","b","ba","bca","bda","bdca"]
Output: 4
Explanation: one of the longest word chain is "a","ba","bda","bdca".
1. 1 <= words.length <= 1000
2. 1 <= words[i].length <= 16
3. words[i] only consists of English lowercase letters.
Say you have an array prices for which the ith element is the price of a given stock on day i.
Design an algorithm to find the maximum profit. You may complete as many transactions as you like (i.e., buy one and sell one share of the stock multiple times).
Note: You may not engage in multiple transactions at the same time (i.e., you must sell the stock before you buy again).
Input:[7,1,5,3,6,4]
Output: 7
Explanation:Buy on day 2 (price = 1) and sell on day 3 (price = 5), profit = 5-1 = 4.
Then buy on day 4 (price = 3) and sell on day 5 (price = 6), profit = 6-3 = 3.
Example:
Input : arr[] = {-3, 9, 8, 20, 17, 5, 1}
key = 20
Output : Found at index 3


Introduction
As a final step, it was decided to analyze the thumbnails of the video to give further evidence on the behavior of YouTube users and to have a vision about the imagery of these when it comes to Deep Web and Tor Browser.
As a final step, it was decided to analyze the thumbnails of the video to give further evidence on the behavior of YouTube users and to have a vision about the imagery of these when it comes to Deep Web and Tor Browser.
The two graphs show datas about the corresponding queries. Different symbols illustrate different typologies of image and thanks to the color variation it has been possible to combine it with the typology of the corresponding video.
We collected thumbnails of the first 100 videos selected from the two queries to create a pattern of images. We divided the images by typologies and then we associated them with symbols: photo (square), photo+graphic (triangle), screenshot (star), graphic (circle). The color allowed us to distinguish the video typology which are associated with the corresponding “cover images”.
Once again, the query Deep Web shows very varied results as opposed to Tor Browser which has a prevalence of tutorials and screenshots. Deep web shows much more graphic and processed images, a demonstration that people are more active also in the visual imaginary creation. Further evidence that users of Youtube are informed about the meaning of the two terms to which associate a particular visual imagery.


DailyRunsController
app.dailyruns
Controller for DailyRuns View
DailyRunsController(logger:, $scope:, $timeout:, $q:, EDocStatement:, $rootScope:, $state:);
| Param | Type | Details |
|---|---|---|
| logger: | object | Internal Logging Service |
| $scope: | object | Angular Scope object |
| $timeout: | object | Angular timming object |
| $q: | object | Angular Asyncronous execution support |
| EDocStatement: | object | eDoc statement JSON object |
| $rootScope: | object | Aguluar global scope variable |
| $state: | object | Routing state |
initalize the view
collect data for charts
build a list of unique Daily Runs // TODO: refactor into a Daily Run Service
collect eDoc Statements from database and Group into a Daily Run list
search for a given Daily_ID. If found, return the index (-1 = not found)
| number | the index of the Daily ID |
format numbers (piece counts) w/ comma's (numeralJS library)
| string | number formatted with comma's |


{% if request.path.startswith('/result') %} {% extends 'checker/base.html' %} {% else %} {% extends 'base.html' %} {% endif %} {% import "macros/form.html" as Form %} {% import "macros/subform.html" as Subform %} {% import "macros/element.html" as Element %} {% set title = _('Contact Civil Legal Advice') %} {% block page_title %}{{ title }}{% endblock %} {% block inner_content %} {{ Form.handle_errors(form) }} {% block page_text %} {% if config.CONTACT_ONLY %} {% call Element.alert() %}
{{ _('The full service is currently unavailable. However, you can still get in touch using the form below.') }}
{% endcall %} {% endif %}{% trans call_charges_link=Element.link_same_window('https://www.gov.uk/call-charges', _('Call charges apply'), True) %} If you’re in immediate danger please call Civil Legal Advice on 0345 345 4 345. {{ call_charges_link }}. {% endtrans %}
{% trans %}You can also ask us to call you back using the form below, which is free.{% endtrans %}
{% else %}{% trans %}Please submit your details to get in touch with Civil Legal Advice (CLA).{% endtrans %}
{% trans call_charges_link=Element.link_same_window('https://www.gov.uk/call-charges', _('call charges'), True) %} You can choose to contact CLA yourself and speak to someone immediately (this is an 0345 number - {{ call_charges_link }} apply) or ask us to call you back, which is free. {% endtrans %}
{{ _('You’ll need to provide evidence of the financial information (if any) you’ve given us through this service.') }}
{% endif %} {% endblock %} {% include "checker/time-out-warning.html" %} {% block notice %}{% trans privacy_link=Element.link_same_window(url_for('base.privacy'), _('Civil Legal Advice Privacy Statement')) %} Protecting your personal data and your privacy is important to us. Read the full {{ privacy_link }}. {% endtrans %}
{% endblock %} {% endblock %} {% block javascripts %} {{ super() }} {% if reasons_for_contacting -%} {%- endif -%} {% endblock %}


{% load static %}
Learning Hub
Learning Hub
Home
Cheatsheets
Logout
User {{user.username}}
Tools
Homebrew for Mac: Package manager for Mac
http://brew.sh/
Vim (text editor)
http://www.vim.org/
or install it from Homebrew ($brew install vim)
Vim and Tmux tutorial
video
Text Editor: Sublime
https://www.sublimetext.com/
Microsoft Code
Git:
https://git-scm.com/
[INDISPENSABLE]
Github:
https://github.com/
[INDISPENSABLE]
Gonzalo s account:
https://github.com/glezma
Python distribution:
www.python.org
[INDISPENSABLE]
Heroku toolbelt
https://toolbelt.heroku.com/
Slack
https://slack.com/
Git and Github
Github Tutorial For Beginners - Source Control Basics by LearnCode.academy
[INDISPENSABLE]
GITHUB PULL REQUEST, Branching, Merging, Team Workflow by LearnCode.academy
[INDISPENSABLE]
Tools for Entrepreneurs: Getting Started with GitHub + Git by Google for Entrepreneurs
Link
Front-End Tutorials
HTML and CSS
Ultra fast tutorials, excelent for a quick catch up on Html and CSS by
Learn Code Academy
[INDISPENSABLE]
Long but comprehensive example project to consolidate HTML and CSS knowledge
Website With Responsive Layout
30 Days to Learn HTML & CSS (Full Course)
Link
-- Type: youtube course
JavaScript
Best JavaScript tutorial ever by Learn Code Academy
[INDISPENSABLE]
Best jQuery and jQuery Ajax tutorial by Learn Code Academy
[INDISPENSABLE]
Angular JS
[INDISPENSABLE]
Mozilla Developer Network
Link
Intro to D3
Link
Back-End Tutorials
Django
Django by The New Boston
[INDISPENSABLE]
Flask
Pycon - Miguel Gringberg: Basic/Intermediate level Flask Workshop
Link
Intro to Flask: Free basic Flask course|Michael Herman|Too slow but the DB videos where escencial to build this site.
Link
Youtube channel: Discover Flask-->
Link
Hello World
Template inheritance
Link
Database
Link
SQLAlchemy
Link
Heroku Deployment
Link
PostGRES
Link
Node.js
Node.js by LearnCode Academy
Complete courses and certifications
Udemy : The Complete Web Developer Course 2.0 @ (10$)
Link
Udemy (by AWS, Github, at&t, Google) : Full Stack Web Developer Nanodegree @ (199$/month)
Link
Udemy (by at&t, Google, Github, Hack Reactor) : Front-End Web Developer Nanodegree @ (199$/month)
Link
Books and Github educational repositories
Miguel GringBerg Books and videos
Link
Miguel Gringberg Github
Intro to flask videos
Miguel Gringberg Github
Flasky
Theoretical Miscelania
Model View Controler Logic
MVC explained with legos
[INDISPENSABLE]
Miscelania (HTTP, PHP, MVC XML, SQL, AJAX, Security, Scalability)
Harvard CS75 course:
CS75 Youtube videos
CS75: Source files and projects
http://cs75.tv/
Harvard E164 Mobile Software Engineering course (JavaScript, Node):
E164 Youtube videos
E164: Source files and projects
http://cs164.tv/
Machine Learning
Incredibly quick and well presented tutorial (by Welch Labs): Neural Networks Demystified |(free)
Link
Udacity (by Google) free course : Deep learning |(free)
Link


Class: ProductComparator
- Inherits:
-
Object
- Object
- ProductComparator
- Defined in:
- app/controllers/product_comparator_controller.rb
Overview
this class lists the differences from 2 products in 4 stages
-
list all features that are new in the original product
-
list all features that have been deleted but are still in the copy
-
do step 1 and 2 for the artifacts of every feature that is included in both products
-
do step 3 for the passages aswell
Instance Method Summary collapse
-
#compare(original, copy) ⇒ Object
compares.
Instance Method Details
#compare(original, copy) ⇒ Object
compares
9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 |
# File 'app/controllers/product_comparator_controller.rb', line 9 def compare(original, copy) # the find() methods are helping by returning # true/false if the feature was found/not found. # in order to have a feature found, it is matched on the name # artifacts and passages should be matched on hashvalue of actual file d = Differences.new # list new features in Product original.features.each do |original_feature| unless copy.features.include? original_feature d.add_missing_feature(original_feature) end end # list deleted features in Product copy.features.each do |copied_feature| unless original.features.include? copied_feature d.add_deleted_feature(copied_feature) end end # // list all differences from the shared Features of the products original.features.each do |original_feature| if copy.features.include? original_feature end end # for feature in originalProd # // only look at the features that are in both projects # if copyProd.features.find(feature) { # // 1&2 list all differences in artifacts # copyFeature = copyProd.features.get(feature); # // 1 list all artifacts that are new created in org # for artifact in feature # if not copyFeature.artifacts.find(artifact) { # d.addMissingFeature_Artifact(feature, artifact); # } # // 2 list all artifacts that are deleted in org # for artifact in copyFeature # if not features.find(artifact) { # d.addDeletedFeature_Artifact(feature, artifact); # } # # // Do the same with passages # # // 1&2 list all differences in passages # copyFeature = copyProd.features.get(feature) # // 1 list all artifacts that are new created in org # for passage in feature # if not copyFeature.artifacts.find(passage) { # d.addMissingFeature_passage(feature, passage); # } # // 2 list all passages that are deleted in org # for passage in copyFeature # if not features.find(passage) { # d.addDeletedFeature_passage(feature, passage); # } # # // now user has two choices, accept the changes: # // simply copy the old project # updateProd = orgProd.copy(); # updatedProd.saveAsNew(); # // delete outdated (previous) copy # copyprod.deletefromDB; # # // or the user discards the changes # // then we unlink the copy # copyProd.orig_product_id = null # copy.features.each do |copied_feature| end end |


To reset the board just use Ctrl+R keys combination or go to the menu File->Reset. You can also reset the board by clicking on Reset button in optinal menu (Tools->Show options...)


Privacy Policy and Cookie Statement
What personal data do you collect?
Me? none. If github collects things, blame them. They probably have access to a bunch of stuff like:
-
Technical data: Your IP address, browser type, operating system type, hardware model (if available), location
and locale (language and region), screen dimensions, browser dimensions, etc.
-
Navigational information: What pages you access on this website, how long you spend on each page;
-
Usage information: Analytics tied to your use of website features, such as when you start, win or lose a
game.
Are cookies stored on my device? How are they used?
We use your browser's local storage features to locally store information about the game's state. This lets us save your
game at any point and allow you to pick it back up from where you left off. This data is kept in your browser and never
sent to servers operated by us or a third-party. No personally-identifiable information is included.
Other notices about services used by this website
This doesn't use any other services at this time.
If you have any questions, feel free to contact me via github


Retrieve all configuration nodes of a given type in the order that they are present in this DeploymentConfig.
Retrieve all configuration nodes of a given type in the order that they
are present in this DeploymentConfig. The next
reference for all returned
nodes will be the EmptyDeploymentConfig$.
Remove all configuration nodes of a given type and return the resulting DeploymentConfig.
Remove all configuration nodes of a given type and return the resulting DeploymentConfig.
Find the first occurrence of a configuration node of the given type, falling back to the provided default if none is found.
Find the first occurrence of a configuration node of the given type, falling back to the provided default if none is found.
Reference to the tail of this DeploymentConfig list.
Reference to the tail of this DeploymentConfig list.
Prepend a selection of the ActorSystem default executor to this DeploymentConfig.
Prepend a selection of the ActorSystem default executor to this DeploymentConfig.
Prepend a selection of the executor found at the given Config path to this DeploymentConfig.
Prepend a selection of the executor found at the given Config path to this DeploymentConfig. The path is relative to the configuration root of the ActorSystem that looks up the executor.
Prepend a selection of the given execution context to this DeploymentConfig.
Prepend a selection of the given execution context to this DeploymentConfig.
Prepend a selection of the given executor to this DeploymentConfig.
Prepend a selection of the given executor to this DeploymentConfig.
Prepend the given mailbox capacity configuration to this DeploymentConfig.
Prepend the given mailbox capacity configuration to this DeploymentConfig.
Create a copy of this DeploymentConfig node with its next
reference
replaced by the given object.
Create a copy of this DeploymentConfig node with its next
reference
replaced by the given object. This does NOT append the given list
of configuration nodes to the current list!
The empty configuration node, used as a terminator for the internally linked list of each DeploymentConfig.


Track the status of the Fedora Release Engineering process.
Mash ....
Pungify ....
Rsync ....
Compose ....


{{.Msg}}
1. Go to https://riot.im/app/#/login or checkout other applications https://about.riot.im/
2. change the matrix server to https://{{.MatrixServer}}
3. Login


1. Some text for the first rate
2. Some text for the second rate
3. Some text for the third rate
4. Some text for the fourth rate
5. Some text for the fifth rate
6. Some text for the sixth rate
Show current rates


There are two ways, thus, to know when your script is loaded.
You can load the script synchronously.
This is not advisable, since it can slow down your app, and in the case the script is never loaded, well, then a great bit of your app is never loaded.


Please honestly answer the following questions about yourself and the Almighty Coding Goddess shall appoint you with the programming language best suited for YOU
The Goddess hath appointed you with Python!
The Goddess hath appointed you with C#!
The Goddess hath appointed you with Java Script!
The Goddess hath appointed you with Ruby on Rails!
Looks like you missed a question!


Frankaven Longboy
About Me
Blog
Contact
Favorite Music Infomation
Artist
Album
Album Picture
Album Release Date
YouTube Video
Michael Jackson
Thriller
November 30, 1982
Thriller
Beyonce
Dangerously In Love
June 20, 2003
Crazy In Love
Hanson
MMMBop
March 17, 1996
MMMBop


| Table 1 |
Selected node words relating to climate change or maritime s ... |
| Table 2 |
Statistics of the collocates of climate change |
| Table 3 |
Statistics of the collocates of maritime security |
| Table 4 |
statistics of the collocates of human trafficking |
| Table 5 |
List of common collocates of climate change and node words o ... |


Cops prevent woman devotee from proceeding to Sabarimala
A 45-year-old woman devotee from Andhra Pradesh was stopped from proceeding to the hill shrine by police on Saturday.
SABARIMALA: A 45-year-old woman devotee from Andhra Pradesh was stopped from proceeding to the hill shrine by police on Saturday. She and her husband were part of a group of pilgrims and they were stopped near the narrow bridge over the Pampa where two women officers examined her
Aadhaar card and found that she was born in 1974. They told her that she could not be allowed as women in the age group of 10 to 50 were banned from visiting the shrine.
Despite the pleas of her husband and other pilgrims, the cops were adamant. Finally, the officers convinced the woman and fellow pilgrims of the ban and they agreed to proceed without her. The woman then handed over the ‘irumudikettu’ to her husband and went with the cops to a TDB building where women police officers are stationed.
An officer in charge of a checking point said close to 50 women of the banned age group are intercepted at all three checking points every day.


=== Test case: lasp_client_server_game_tournament_SUITE:reactive_client_server_state_based_test/1 (click for source code)
=== Config value:
[{watchdog,<0.449.0>},
<EMAIL_ADDRESS>{tc_group_properties,[]},
{tc_group_path,[]},
{data_dir,"/Users/anne-francevanswieten/lasp/_build/test/lib/lasp/test/lasp_client_server_game_tournament_SUITE_data/"},
<EMAIL_ADDRESS>=== Current directory is<EMAIL_ADDRESS>=== Started at 2017-04-18 17:16:14
*** User 2017-04-18 17:16:14.786 ***
Beginning test case reactive_client_server_state_based_test
*** User 2017-04-18 17:16:14.795 ***
Running reactive_client_server_game_tournament_state_based_test with nodes [server,
client_1,
client_2,
client_3]
*** User 2017-04-18 17:16:14.795 ***
Launching Erlang distribution...

*** User 2017-04-18 17:16:20.918 ***
Custering nodes...
*** User 2017-04-18 17:16:20.919 ***
Joining node: server@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 58916
*** User 2017-04-18 17:16:20.921 ***
Joining node: server@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 58918
*** User 2017-04-18 17:16:20.923 ***
Joining node: server@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 58920
*** User 2017-04-18 17:16:20.926 ***
Joining node: client_1@MBPdeAnneFrance to server@MBPdeAnneFrance at port 58914
*** User 2017-04-18 17:16:20.931 ***
Joining node: client_1@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 58918
*** User 2017-04-18 17:16:20.933 ***
Joining node: client_1@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 58920
*** User 2017-04-18 17:16:20.935 ***
Joining node: client_2@MBPdeAnneFrance to server@MBPdeAnneFrance at port 58914
*** User 2017-04-18 17:16:20.937 ***
Joining node: client_2@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 58916
*** User 2017-04-18 17:16:20.938 ***
Joining node: client_2@MBPdeAnneFrance to client_3@MBPdeAnneFrance at port 58920
*** User 2017-04-18 17:16:20.939 ***
Joining node: client_3@MBPdeAnneFrance to server@MBPdeAnneFrance at port 58914
*** User 2017-04-18 17:16:20.942 ***
Joining node: client_3@MBPdeAnneFrance to client_1@MBPdeAnneFrance at port 58916
*** User 2017-04-18 17:16:20.943 ***
Joining node: client_3@MBPdeAnneFrance to client_2@MBPdeAnneFrance at port 58918
*** User 2017-04-18 17:16:20.944 ***
Lasp fully initialized.
*** User 2017-04-18 17:16:20.944 ***
Waiting for simulation to end
*** User 2017-04-18 17:17:00.948 ***
Simulation ended with success
*** User 2017-04-18 17:17:09.022 ***
Ending test case reactive_client_server_state_based_test
=== Ended at 2017-04-18 17:17:09
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


{% extends 'base.html' %} {% block content %}
Two EPITA students caring about the environment, Dorian and Clarisse. We want information about products' packaging to be accessible and easy to understand. We hope that with this website, people will be more sensitive about the packaging of the products and limit the consumption of products which packaging cannot be recycled.
This website, may in the future also be a way for programmers to access a complete database about products' packaging to create projects committed for the environment.
{% endblock %}


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#ondisplaymtl2016
Bring your laptop or tablet to show your digital portfolio. No one likes to waste time: have your browser tabs open and your files ready so you can get the most out of the limited time with the judges.
Select your projects carefully to reflect the work you want to pursue. Don’t have enough to show? Include any relevant side-projects. Remember that quality always trumps quantity.
How are your skills best presented? Embed gifs or videos to show your animation skills. Write a case study that demonstrates your problem solving abilities.
Find the narrative thread and tell the story behind your projects. If you designed a sign-up flow, show it step by step.
Explain your process, and the thoughts behind your design decisions.
Identify areas you would like to work on and ask the judges to focus their feedback on it. Seize the chance to ask all of your burning questions.
On Display welcomes any student or junior designer who wants feedback in the following fields: UI and UX design, motion design, icon design, web design, and creative direction. If you’ve designed apps or websites, this is for you.
It’s not for you if you are a senior designer, a type designer, photographer, game designer, fashion designer or interior designer.
The purpose of On Display is to help you grow at the beginning of your design career. It’s a unique opportunity to learn from the best: don't hesitate and come get all the feedback!
Join our Slack channel to chat with organizers and fellow participants. You can also send questions our way; we’re happy to help!
| 17:00 | Doors open |
| 17:30 | Welcome |
| 18:30 |
Portfolio review / 1
3 × 15 minutes |
| 19:15 | Break / Dinner |
| 19:45 | Portfolio review / 2
3 × 15 minutes |
| 20:30 | Break |
| 20:45 |
Portfolio review / 3
3 × 15 minutes |
| 21:30 | Thanks |


Use the list below to navigate to individual Projects. Click on any project to go directly to its details page.


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--- layout: data_model title: NetworkInterfaceType this_version: 1.0.1 ---
The NetworkInterfaceType type specifies information about a network interface, such as its MAC address.
| Field Name | Type | Description |
|---|---|---|
| Adapter0..1 | StringObjectPropertyType |
The Adapter field specifies the name of the network adapter used by the network interface. |
| Description0..1 | StringObjectPropertyType |
The Description field specifies the description of the network interface. |
| DHCP_Lease_Expires0..1 | DateTimeObjectPropertyType |
The DHCP_Lease_Expires field specifies the date/time that the DHCP lease obtained on the network interface expires. |
| DHCP_Lease_Obtained0..1 | DateTimeObjectPropertyType |
The DHCP_Lease_Obtained field specifies the date/time that the DHCP lease was obtained on the network interface. |
| DHCP_Server_List0..1 | DHCPServerListType |
The DHCP_Server_List field specifies the list of DHCP servers used by the network interface. |
| IP_Gateway_List0..1 | IPGatewayListType |
The IP_Gateway_List field specifies the list of IP Gateways used by the network interface. |
| IP_List0..1 | IPInfoListType |
The IP_List field specifies the list of IP addresses used by the network interface. |
| MAC0..1 | StringObjectPropertyType |
The MAC field specifies the MAC or hardware address of the physical network card. Either a colon (':') or a dash ('-') may be used a separator between the octets. |


Class SchemaVocabulary
Represents a draft-08 schema vocabulary.
Inheritance
System.Object
SchemaVocabulary
Implements
System.IEquatable<SchemaVocabulary>
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Manatee.Json.Schema
Assembly: Manatee.Json.dll
Syntax
public class SchemaVocabulary : IEquatable<SchemaVocabulary>
Remarks
Currently a vocabulary is merely a link between the vocabulary ID and the meta-schema ID. In the future, as vocabularies are better defined, there may be a data format for them. As the feature develops in JSON Schema, it will be developed within this library.
Constructors
| Improve this Doc View SourceSchemaVocabulary(String, String)
Creates a new instance of the SchemaVocabulary class.
Declaration
public SchemaVocabulary(string id, string metaSchemaId)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | id | |
| System.String | metaSchemaId |
Properties
| Improve this Doc View SourceId
Gets the vocabulary ID.
Declaration
public string Id { get; }
Property Value
| Type | Description |
|---|---|
| System.String |
MetaSchemaId
Gets the ID of the meta-schema associated with the vocabulary.
Declaration
public string MetaSchemaId { get; }
Property Value
| Type | Description |
|---|---|
| System.String |
Methods
| Improve this Doc View SourceEquals(Nullable<SchemaVocabulary>)
Declaration
public bool Equals(SchemaVocabulary? other)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Nullable<SchemaVocabulary> | other |
Returns
| Type | Description |
|---|---|
| System.Boolean |
Equals(Nullable<Object>)
Declaration
public override bool Equals(object? obj)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Nullable<System.Object> | obj |
Returns
| Type | Description |
|---|---|
| System.Boolean |
GetHashCode()
Declaration
public override int GetHashCode()
Returns
| Type | Description |
|---|---|
| System.Int32 |
Overrides
System.Object.GetHashCode()
Implements
System.IEquatable<T>


This is an open sourced generic Artificial Intelligence competition framework, intended to provide you fully scalable infrastructure needed to run your own AI competition with no hassle.
All you need to do?
Code a competition design and code a bot
Dimensions handles the rest, including match running, tournament running, TrueSkill rankings, and a local API and website through which you can watch this all happen at once. Dimensions allows you to design virtually any kind of AI competition you want in any language with its vast array of flexible configuration options and choices.
Moreover, Dimensions utilizes an I/O based model to run competitions and pit AI agents against each other, allowing it to be generic and language agnostic so anyone from any background can compete in your competition design.
This was inspired by Battlecode and Halite
Keep reading to learn how to get started and make a tournament like this:
Of which the AI bots are all coded in about 10 lines or less (ignoring the starter kit)
const kit = require('./kit');
const agent = new kit.Agent();
agent.initialize().then(async () => {
while(true) {
console.log('R'); // tell the match you want to play Rock in the game
agent.endTurn(); // end turn
await agent.update(); // wait for updates
}
});
As another proof of concept of how seamless and generalizable this framework is, see the recreation of Halite 3 using this framework.
Follow these links to jump straight to Documentation, Contributing, Development or Plans curated by the owner and the community.
Also checkout the blog post introducing the motivation for Dimensions and thoughts about it here: https://stonet2000.github.io/blog/posts/Dimensions/index.html
This guide will take you through how to start and run a competition built with Javascript/Typescript. To see how to use this framework to run a custom competition built without the dimensions framework, see this wiki on setting override options.
First, install the dimensions-ai
package
npm install dimensions-ai
Create a new file called run.js
and inside it we need to first require
the package
const Dimension = require('dimensions-ai');
In order to start writing AI to compete against each other in a competition, you need to do two things.
You need to design a competition to allow people to compete and facilitate the matches. More info on that soon. And it is highly suggested to design an AI starter kit so people can get straight into competing.
Let's first design a simple RockPaperScissors competition. To design a competition, you will need to code. On the roadmap there are plans to potentially make a no-code competition designer.
To design the competition we need to create a class
that extends Dimension.Design
. Let's call this design RockPaperScissorsDesign
. All design
classes requires the implementation of 3 async
lifecycle functions that facilitate a match, namely
| Design Lifecycle Functions | Purpose |
|---|---|
initialize |
Perform match initializations |
update |
Update the match state and return match status |
getResults |
Return the match results |
More details found on the documentation here
So now we would have something like
import * as Dimension from 'dimensions-ai';
// or const Dimension = require('dimensions-ai');
class RockPaperScissorsDesign extend Dimension.Design {
async initialize(match) {
...
}
async update(match, commands) {
...
}
async getResults(match) {
...
}
}
Each match
parameter passed in is of type Match
and is the same match
that each lifecycle function works with. A match
exposes key properties and functions for use to design the competition. The most important properties are match.agents, match.state, match.configs
and important functions are match.send, match.sendAll
. All documented here
match.agents
contains all the participating players, named as agents
, all of type Agent
. Each agent has fields such as agent.id
and agent.name
, useful for designing a competition when trying to decide what to communicate with agents in a competition. In rock paper scissors, usually theres only 2 agents. Note that agents are numbered from 0, 1, 2... and so forth.
match.state
is a property that accessible through the match
input parameter of all 3 lifecycle functions, and can be used to store any information that should be retained or use throughout the match. This could be results of past rounds in a best of 3 rock paper scissors game.
match.configs
is the same argument you pass in when running a Match
, Tournament
etc. You can send in same configurations such as how many rounds of rock paper scissors will be played.
match.send(message, agentID or Agent)
sends a string message
to the agent
specified or the agent specified by its agentID
. match.sendAll(message)
sends the same message to all agents.
The commands
parameter is an array of commands objects of the form {command: string, agentID: number}
Each command holds a command string, which is essentially something that was logged to output from one of the agents. For example, if an agent with ID 0
did print('P')
in python or console.log('P')
, the match engine will pick this up and populate commands
with the array item {command: 'P', agentID: 0}
There are some requirements for these lifecycle functions:
For initialize
, nothing needs to be returned
For update
, if you don't return anything, the engine assumes the match is still running. If you return Dimension.Match.Status.FINISHED
, the engine will conclude the match and stop it.
For getResults
, it must return or resolve a value, could be a number, an object, etc.
const Match = Dimension.Match;
class RockPaperScissorsDesign extend Dimension.Design {
async initialize(match) {
... // often communicate to agents via match.send about configurations and state
}
async update(match, commands) {
... // update match state with the commands
... // send information back to agents via match.send to communicate anything
// suppose we reached the max rounds of rock paper scissors
if (match.state.rounds === match.state.maxRounds) {
// we return this to end the match
return Match.Status.FINISHED;
}
async getResults(match) {
let results = {}
... // determine results
return results; // return them
}
}
An example of a rock paper scissors competition design can be found here
Some existing designs
are provided as examples at /examples, which currently includes Rock Paper Scissors (RPS). A Halite 3 design using this framework has also been made and can be found here
If you want to kick start development on your own design
, check out /templates/designs
Look into the documentation on Match and Agent for what data is available to you to use in your design.
An AI Starter kit is just basic code implemented to help you create an AI to compete in the design
you made really quickly. This will lead you through how the JavaScript starter kit works, a template of which can be found in /templates/starter-kits/js
This part is not language bound, so you can program an AI in any language you want for your design!
Other starter kit templates in other languages can be found in /templates/starter-kits and you can use them to help kickstart development for your own starter kit for your own design
AI Starter kits are suggested to contain at least two files, agent.js
(or whichever extension matches your language) and myBot.js
. It can be merged into one but for organization, splitting it up is better.
kit.js
should have a Agent
class with some kind of asynchronous initialize, update
functions and a endTurn
function.
initialize
should have the agent wait for a line input from stdin
(standard input) if anything is being sent to the agent through match.send
in the design
in initialize(match)
.
update
should do the same thing as initialize
but is used to update the agent with new information from the match. Updates are sent to this agent through match.send
in the design
in update(match, commands)
. The agent should typically wait for some signal from the match to tell it to proceed in processing. This can either be a explicit message like match.sendAll('START')
or just the next set of update commands from the match
.
endTurn
should always just print to stdout
(standard out) 'D_FINISH
Then in myBot.js
, a new kit.Agent
should be initialized as agent
and should run agent.initialize
Once initialization is completely done, then there should be a infinite while loop that runs the AI agent's code and also waits for updates through agent.update
For example, in JS this would be equivalent to
const kit = require('./kit');
// create a new agent
const agent = new kit.Agent();
// first initialize the agent, and then proceed to go in a loop waiting for updates and running the AI
agent.initialize().then(async () => {
while(true) {
// wait for update from match engine
await agent.update();
/** AI Code goes here */
let commands = [];
// push some commands in to be processed by the MatchEngine
commands.push('somecommand');
commands.push('anothercommand');
// submit commands to the `MatchEngine` and the `Match`, using ',' as the delimiter
console.log(commands.join(','));
// now we end our turn
agent.endTurn();
}
});
Note that the await agent.update()
can be moved after agent.endTurn()
if needed, this really depends on how you make the design
.
Now with a design done and a starter kit created, all you have to do is write a quick AI that does something and then run a match as follows:
First initialize your design and pass it a name. Then create a new dimension
with Dimension.create
.
let RPSDesign = new RockPaperScissorsDesign('RPS!');
let myDimension = Dimension.create(RPSDesign);
We can now run our first match by passing in an array of paths to the bot codes, each of which will generate into a new agent that participates in the match. You can then also pass in any configurations you want accessible through match.configs
in the life cycle functions of your design
.
let results = await myDimension.runMatch(
['./examples/rock-paper-scissors/bots/smarter.js',
'./examples/rock-paper-scissors/bots/smarter.js'],
{
bestOf: 5 // a configuration accessible in match through match.configs.bestOf
}
)
You can now log the results, of which are the same results returned by your design's
getResult
function.
console.log(results)
Notice that your console will also print something about a station. It'll give you a link to the Station
, a local server that gives you access to an API to access and control your Dimension, Matches, Tournaments and more. Check https://github.com/StoneT2000/Dimensions/wiki/Dimensions-Station-API for details on the API.
If you want to view the API from a website, see this repo: https://github.com/StoneT2000/Dimensions-web
This framework also provides tournament running features, including Round Robin, and Ladder type tournaments. Additionally, there are various ranking systems used, such as Win/Tie/Loss and Trueskill.
Here is how you run a tournament. First, you will need a resultHandler
function. This function must given to the tournament to indicate how the results of a match
should be interpreted. Recall that these results are returned by the getResult
command in your design. It is suggested to provide these result handlers in your Design
.
Next, you need to pass in some required configurations, namely type, rankSystem, agentsPerMatch, resultHandler
. The following code snippet shows an example.
let RPSDesign = new RockPaperScissorsDesign('RPS!');
let myDimension = Dimension.create(RPSDesign);
let Tournament = Dimension.Tournament;
let simpleBot = "./bots/rock.js";
let botSources = [simpleBot, simpleBot, simpleBot, simpleBot, simpleBot];
let RPSTournament = myDimension.createTournament(botSources, {
name: 'A Best of 329 Rock Paper Scissors Tournament', // give it a name
type: Tournament.TOURNAMENT_TYPE.LADDER, // Create a Ladder Tournament
rankSystem: Tournament.RANK_SYSTEM.TRUESKILL, // Use Trueskill to rank bots
agentsPerMatch: [2], // specify how many bots can play at a time
defaultMatchConfigs: {
bestOf: 329
loggingLevel: Dimension.Logger.LEVEL.NONE
}
resultHandler: (results: any) => {
let ranks = [];
if (results.winner === 'Tie') {
ranks = [{rank: 1, agentID: 0}, {rank: 1, agentID: 1}]
}
else {
let loserID = (results.winnerID + 1) % 2;
ranks = [{rank: 1, agentID: results.winnerID}, {rank: 2, agentID: loserID}]
}
return {
ranks: ranks
}
}
});
Full documentation on Tournaments can be found here and documentation on the configuration you can pass in can be found here.
Note that different tournament types have different tournament configurations and different rank systems have different ranking configurations, all of which can be found on the documentation.
The wiki will soon be populated with more basic and advanced example usages of this framework. This ranges from how to configure the match engine, configuring various tournaments and rank systems, to tips on designing a successful competition.
Everyone is more than welcome to contribute to this project! You can open an issue or submit a PR
Check out the issues for this repository to get an idea on something you can help out with!
This is all written in TypeScript
First install all necessary packages with
npm install
Start development by running
npm run watch
to watch for code changes in the src
folder and reload the build folder. Note this does not build any frontend code.
Tests are built with Mocha and Chai. Run them with
npm run test
Run
npm run build
to build the entire library, including any frontend code.
Design
(design a competition)MatchEngine
, Matches
, Dimensions
to give them greater flexibility over the backend infrastructureDesigns
susceptible to cheating and match breaking behavior from bots participating in a Match
timeStep
(for a game of rock paper scissors, this would be 1, it wouldn't make sense to flood the MatchEngine
with several commands, which could break the Match
)cluster
module and run tournaments in a distributed framework.Designs
and starter kits for other popular ai gamesGenerated using TypeDoc


The last herders of Pushkar
A low turnout at the famous Puskhar fair highlights the declining interest in the once-popular profession of camel herding
The Pushkar Fair, held annually in Rajasthan’s Ajmer, is known as one of the world’s largest cattle fairs. It also celebrates the age-old traditions of the pastoralist camel-herding Raika tribe. On November 4-12, more than 1,000 of the community’s camel herders arrived with their livestock at the fair. They came from Pali, Bikaner, Jodhpur and Jaisalmer districts.
After centuries of herding camels, the community’s livelihood is threatened today. Restrictive grazing laws have led to falling incomes. On top of that, camel sales have fallen drastically at the annual fair in recent years. The decline was the sharpest in 2017, when only 827 camels were sold compared to 3,349 in 2015.
The situation worsened last year, with buyers reportedly quoting prices as low as ₹500 to ₹1,500 per camel, which earlier cost ₹15,000 or more. Setang Ram, a herder from Ramdevra village in Jaisalmer, said, “Last year I was unable to sell even a single camel. The price has remained low for the past few years. We are now breeding fewer camels because there are fewer buyers.”
Declaring the camel its state animal in 2014, Rajasthan passed a law banning its slaughter, trading and unauthorised transportation.
This has badly impacted the Raikas, leaving them with no other source of income other than from the sale of camel milk, which doesn’t fetch much revenue. Unlike in many other countries, the Food Safety and Standards Authority of India has not permitted the marketing of camel milk on a technical fat standard applied to all milk products. Ilse Köhler-Rollefson, a veterinarian and author of Camel Karma, commented on the plight of the Raikas, “The next generation is trying to maintain some of their traditions, but the profession has becomes unprofitable. Even grazing lands have decreased.”
In October 2016, the Rajasthan government launched a scheme to protect camels and camel herders. Under the Ushtra Vikas Yojana (Camel Development Plan), the government provides herders with a ₹10,000 cash incentive on the birth of each calf, but this has proved inadequate. The number of camels in the state declined from 3.26 lakh to 2.13 lakh from 2012-2019, as observed in the 2019 Livestock Census.
Tanmoy Bhaduri is a Kolkata-based photojournalist
MORE GALLERY
Guru Nanak’s 550th: Lights, swords and service
The worrying decrease in Uttarakhand’s rhododendrons
Climate change: Hungry tides of the Brahmaputra
When women storm the Ramlila stage
Going underground in the bunker museum


{% extends "public.html" %} {% block toolbar_title %} Verify NIP-5 For {{ domain.domain }} {% endblock %} {% from "macros.jinja" import window_vars with context %} {% block page %}
Success! Your username is now active at {{ successData.local_part }}@{{ domain }}. Please add this to your nostr profile accordingly. If you ever need to rotate your keys, you can still keep your identity!
Bookmark this link: {{ base_url }}nostrnip5/rotate/{{ domain_id }}/{{ successData.address_id }}
In case you ever need to change your pubkey, you can still keep this NIP-5 identity. Just come back to the above linked page to change the pubkey associated to your identity.
{% endraw %}You can use this page to get NIP-5 verified on the nostr protocol under the {{ domain.domain }} domain.
The current price is {% if domain.currency != "Satoshis" %} {{ "{:0,.2f}".format(domain.amount / 100) }} {{ domain.currency }} {% else %} {{ "{}".format(domain.amount) }} {{ domain.currency }} {% endif %} for an account (if you do not own the domain, the service provider can disable at any time).
After submitting payment, your address will be
and will be tied to this nostr pubkey


How to easily access the elusive em-dash — on Windows and Mac
by MixWelcome to TNW Basics , a collection of tips, guides, and advice on how to easily get the most out of your gadgets, apps, and other stuff.
Nobody loves an em-dash more than I do — I put an em-dash on anything. It really is a wonderful grammatical tool. You can use it to dictate the pace of your writing, to bring more attention to an argument, to add extra information without cluttering a sentence. It truly is a gift to writing — and you should absolutely use it.
Unfortunately, the em-dash — and the en-dash (–) for that matter — is not popular enough to deserve its own place on the keyboard. Instead, you’ll need to use a shortcut. The problem is the shortcut varies across operating systems.
No worries, we’re here to help. Here’s how to type em-dashes and en-dashes on both Mac and Windows systems.
macOS
Admittedly, Mac makes it easier to use em- and en-dashes than Windows. There’s a pretty simple shortcut which works on laptops and desktop macOS systems by default.
- To type an en-dash, you’ll need to press the Alt key and the Minus key at the same time. That’s it, you’ve now got an en-dash (–).
- The em-dash works similarly — it merely requires one extra key. Hold down Alt + Shift + Minus for an em-dash. Boom, that’s it.
Pretty simple, right? Now onto Windows.
Windows
Windows tends to be a little less friendly to dash admirers, but things have gotten better with the release of its own emoji keyboard — it’s actually got a somewhat convenient shortcut for em and en-dashes built into it.
- Press the Win key and the dot (.) at the same time to get to the emoji keyboard.
- At the top of the keyboard, navigate to the symbols menu (the omega icon).
- You should see the en- and em-dashes towards the bottom of the keyboard.
- You’re done!
Another alternative is to use Alt codes. There’s a catch, however: Alt codes don’t always work on laptop keyboards. This was the case with the Razer Blade, which I recently tested.
- For an em-dash, hold down the Alt key and type 0151, then release the Alt key. That’s it!
- For an en-dash, hold down the Alt key and type 0150, then release the Alt key. Pretty simple, right?
Well, that’s it. Now you know how to use en- and em-dashes on Mac and Windows.


IntroductionCredit: Paul Prescod, co-author of XML Handbook (Prentice-Hall) XML has become a central technology for all kinds of information exchange. Today, most new file formats that are invented are based on XML. Most new protocols are based upon XML. It simply isn't possible to work with the emerging Internet infrastructure without supporting XML. Luckily, Python has had XML support since many versions ago, and Python's support for XML has kept growing and maturing year after year. Python and XML are perfect complements. XML is an open standards way of exchanging information. Python is an open source language that processes the information. Python excels at text processing and at handling complicated data structures. XML is text based and is, above all, a way of exchanging complicated data structures. That said, working with XML is not so seamless that it requires no effort. There is always somewhat of a mismatch between the needs of a particular programming language and a language-independent information representation. So there is often a requirement to write code that reads (i.e., deserializes or parses) and writes (i.e., serializes) XML. Parsing XML can be done with code written purely in Python, or with a module that is a C/Python mix. Python comes with the fast Expat parser written in C. Many XML applications use the Expat parser, and one of these recipes accesses Expat directly to build its own concept of an ideal in-memory Python representation of an XML document as a tree of "element" objects (an alternative to the standard DOM approach, which I will mention later in this introduction). However, although Expat is ubiquitous in the XML world, it is far from being the only parser available, or necessarily the best one for any given application. A standard API called SAX allows any XML parser to be plugged into a Python program. The SAX API is demonstrated in several recipes that perform typical tasks such as checking that an XML document is well formed, extracting text from a document, or counting the tags in a document. These recipes should give you a good understanding of how SAX works. One more advanced recipe shows how to use one of SAX's several auxiliary features, "filtering", to normalize "text events" that might otherwise happen to get "fragmented". XML-RPC is a protocol built on top of XML for sending data structures from one program to another, typically across the Internet. XML-RPC allows programmers to completely hide the implementation languages of the two communicating components. Two components running on different operating systems, written in different languages, can still communicate easily. XML-RPC is built into Python. This chapter does not deal with XML-RPC, because, together with other alternatives for distributed programming, XML-RPC is covered in Chapter 15. Other recipes in this chapter are a little bit more eclectic, dealing with issues that range from interfacing, to proprietary XML parsers and document formats, to representing an entire XML document in memory as a Python object. One, in particular, shows how to auto-detect the Unicode encoding that an XML document uses without parsing the document. Unicode is central to the definition of XML, so it's important to understand Python's Unicode support if you will be doing any sophisticated work with XML. The PyXML extension package supplies a variety of useful tools for working with XML. PyXML offers a full implementation of the Document Object Model (DOM)as opposed to the subset bundled with Python itselfand a validating XML parser written entirely in Python. The DOM is a standard API that loads an entire XML document into memory. This can make XML processing easier for complicated structures in which there are many references from one part of the document to another, or when you need to correlate (i.e., compare) more than one XML document. One recipe shows how to use PyXML's validating parser to validate and process an XML document, and another shows how to remove whitespace-only text nodes from an XML document's DOM. You'll find many other examples in the documentation of the PyXML package (http://pyxml.sourceforge.net/). Other advanced tools that you can find in PyXML or, in some cases, in FourThought's open source 4Suite package (http://www.4suite.org/) from which much of PyXML derives, include implementations of a variety of XML-related standards, such as XPath, XSLT, XLink, XPointer, and RDF. If PyXML is already an excellent resource for XML power users in Python, 4Suite is even richer and more powerful. XML has become so pervasive that, inevitably, you will also find XML-related recipes in other chapters of this book. Recipe 2.26 strips XML markup in a very rough and ready way. Recipe 1.23 shows how to insert XML character references while encoding Unicode text. Recipe 10.17, parses a Mac OS X pinfo-format XML stream to get detailed system information. Recipe 11.10 uses Tkinter to display a XML DOM as a GUI Tree widget. Recipe 14.11 deals with two XML file formats related to RSS[1] feeds, fetching and parsing a FOAF[2]-format input to produce an OPML[3]-format resultquite a typical XML-related task in today's programming, and a good general example of how Python can help you with such tasks.
For more information on using Python and XML together, see Python and XML by Christopher A. Jones and Fred L. Drake, Jr. (O'Reilly). |


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Version 4.1
Resolved Issues:
Fixed misaligned chat window
#2
Preferences keyboard shortcut now works
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Notifications should now work as expected
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Release Notes:
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A virtual file containing a rectangular subsection of an image can be extracted and opened by specifying the range of pixels (start:end) along each axis to be extracted from the original image. One can also specify an optional pixel increment (start:end:step) for each axis of the input image. A pixel step = 1 will be assumed if it is not specified. If the start pixel is larger then the end pixel, then the image will be flipped (producing a mirror image) along that dimension. An asterisk, '*', may be used to specify the entire range of an axis, and '-*' will flip the entire axis. The input image can be in the primary array, in an image extension, or contained in a vector cell of a binary table. In the later 2 cases the extension name or number must be specified before the image section specifier.
Examples:
myfile.fits[1:512:2, 2:512:2] - open a 256x256 pixel image consisting of the odd numbered columns (1st axis) and the even numbered rows (2nd axis) of the image in the primary array of the file. myfile.fits[*, 512:256] - open an image consisting of all the columns in the input image, but only rows 256 through 512. The image will be flipped along the 2nd axis since the starting pixel is greater than the ending pixel. myfile.fits[*:2, 512:256:2] - same as above but keeping only every other row and column in the input image. myfile.fits[-*, *] - copy the entire image, flipping it along the first axis. myfile.fits[3][1:256,1:256] - opens a subsection of the image that is in the 3rd extension of the file. myfile.fits[4; images(12)][1:10,1:10] - open an image consisting of the first 10 pixels in both dimensions. The original image resides in the 12th row of the 'images' vector column in the table in the 4th extension of the file.
When CFITSIO opens an image section it first creates a temporary file containing the image section plus a copy of any other HDUs in the file. (If a `#' character is appended to the name or number of the image HDU, as in "myfile.fits[1#][1:200,1:200]", then the other HDUs in the input file will not be copied into memory). This temporary file is then opened by the application program, so it is not possible to write to or modify the input file when specifying an image section. Note that CFITSIO automatically updates the world coordinate system keywords in the header of the image section, if they exist, so that the coordinate associated with each pixel in the image section will be computed correctly.


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Module: ActionDispatch::TestProcess
| Relationships & Source Files | |
| Extension / Inclusion / Inheritance Descendants | |
|
Included In:
| |
| Defined in: | actionpack/lib/action_dispatch/testing/test_process.rb |
Instance Method Summary
- #assigns(key = nil)
- #cookies
-
#fixture_file_upload(path, mime_type = nil, binary = false)
Shortcut for
Rack::Test::UploadedFile.new(File.join(ActionController::TestCase.fixture_path, path), type)
: - #flash
- #redirect_to_url
- #session
Instance Method Details
#assigns(key = nil)
[ GitHub ]# File 'actionpack/lib/action_dispatch/testing/test_process.rb', line 7
def assigns(key = nil) assigns = {}.with_indifferent_access @controller.view_assigns.each { |k, v| assigns.regular_writer(k, v) } key.nil? ? assigns : assigns[key] end
#cookies
[ GitHub ]# File 'actionpack/lib/action_dispatch/testing/test_process.rb', line 21
def @request. end
#fixture_file_upload(path, mime_type = nil, binary = false)
Shortcut for Rack::Test::UploadedFile.new(File.join(ActionController::TestCase.fixture_path, path), type)
:
post :change_avatar, avatar: fixture_file_upload('files/spongebob.png', 'image/png')
To upload binary files on Windows, pass :binary
as the last parameter. This will not affect other platforms:
post :change_avatar, avatar: fixture_file_upload('files/spongebob.png', 'image/png', :binary)
# File 'actionpack/lib/action_dispatch/testing/test_process.rb', line 37
def fixture_file_upload(path, mime_type = nil, binary = false) if self.class.respond_to?(:fixture_path) && self.class.fixture_path path = File.join(self.class.fixture_path, path) end Rack::Test::UploadedFile.new(path, mime_type, binary) end
#flash
[ GitHub ]# File 'actionpack/lib/action_dispatch/testing/test_process.rb', line 17
def flash @request.flash end
#redirect_to_url
[ GitHub ]# File 'actionpack/lib/action_dispatch/testing/test_process.rb', line 25
def redirect_to_url @response.redirect_url end
#session
[ GitHub ]# File 'actionpack/lib/action_dispatch/testing/test_process.rb', line 13
def session @request.session end