xLearn Python Package Guide¶
xLearn supports very easy-to-use Python API for users. Once you install the
xLearn Python package successfully, you can try it. Type python
in your
shell and type the following Python code to check your installation:
import xlearn as xl
xl.hello()
If you install xLearn Python package successfully, you will see
-------------------------------------------------------------------------
_
| |
__ _| | ___ __ _ _ __ _ __
\ \/ / | / _ \/ _` | '__| '_ \
> <| |___| __/ (_| | | | | | |
/_/\_\_____/\___|\__,_|_| |_| |_|
xLearn -- 0.20 Version --
-------------------------------------------------------------------------
Quick Start¶
Here is a simple Python demo to demonstrate how to use xLearn. You can check out the demo data
(small_train.txt
and small_test.txt
) from the path demo/classification/criteo_ctr
.
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.setValidate("./small_test.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.fit(param, "./model.out")
A portion of the xLearn’s output
Start to train ...
Epoch Train log_loss Test log_loss Time cost (sec)
1 0.593750 0.535847 0.00
2 0.539226 0.543829 0.00
3 0.520034 0.531732 0.00
4 0.505186 0.537418 0.00
5 0.494089 0.533448 0.00
6 0.483678 0.534629 0.00
7 0.470848 0.528086 0.00
8 0.466330 0.533253 0.00
9 0.456660 0.535635 0.00
Early-stopping at epoch 7
Start to save model ...
In this example, xLearn uses feild-ware factorization machines (ffm) to train our model for
solving a binary classification task. If you want train a model for regression task.
You can reset the task
parameter to reg
.
param = {'task':'reg', 'lr':0.2, 'lambda':0.002}
We can see that a new file called model.out
has been generated in the current directory.
This file stores the trained model checkpoint, and we can use this model file to make prediction
in the future:
ffm_model.setTest("./small_test.txt")
ffm_model.predict("./model.out", "./output.txt")
After we run this Python code, we can get a new file called output.txt
in current directory.
This is output prediction. Here we show the first five lines of this output by using the following command
head -n 5 ./output.txt
-1.66107
-0.616408
-0.815918
-0.608931
-1.30794
These lines of data are the prediction score calculated for examples in the test set. The negative data
represents the negative example and positive data represents the positive example. In xLearn, you can convert
the score to (0-1) by using setSigmoid()
option:
ffm_model.setTest("./small_test.txt")
ffm_model.setSigmoid()
ffm_model.predict("./model.out", "./output.txt")
and then we can get the result
head -n 5 ./output.txt
0.158613
0.354297
0.310193
0.357449
0.220061
We can also convert the score to binary result (0 and 1)
by using setSign()
API
# Prediction task
ffm_model.setTest("./small_test.txt")
ffm_model.setSign()
ffm_model.predict("./model.out", "./output.txt")
and then we can get the result
head -n 5 ./output.txt
0
0
0
0
0
Choose Machine Learning Algorithm¶
For now, xLearn can support three different machine learning algorithms, including LR, FM and FFM.
Users can choose different machine learning algorithms by using create_xxx()
API:
import xlearn as xl
ffm_model = xl.create_ffm()
fm_model = xl.create_fm()
lr_model = xl.create_lr()
For LR and FM, the input data format can be CSV
or libsvm
. For FFM, the input data should
be the libffm
format.
libsvm format:
label index_1:value_1 index_2:value_2 ... index_n:value_n
CSV format:
value_1 value_2 .. value_n label
libffm format:
label field_1:index_1:value_1 field_2:index_2:value_2 ...
Users can also give a libffm file to LR and FM. At that time, xLearn will treat this data as libsvm format.
Set Validation Dataset¶
A validation dataset is used to tune the hyperparameters of a machine learning model. In xLearn, users can
use setValdiate()
API to set the validation dataset. For example:
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.setValidate("./small_test.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.fit(param, "./model.out")
A portion of xLearn’s output:
Epoch Train log_loss Test log_loss Time cost (sec)
1 0.598814 0.536327 0.00
2 0.539872 0.542924 0.00
3 0.521035 0.531595 0.00
4 0.505414 0.536246 0.00
5 0.492150 0.532070 0.00
6 0.482229 0.536482 0.00
7 0.470457 0.528871 0.00
8 0.464445 0.534550 0.00
9 0.456061 0.537320 0.00
Here we can see that the training loss continuously goes down. But the validation loss (test loss)
goes down first, and then goes up. This is because our model has already overfitted current training
dataset. By default, xLearn will calculate the validation loss in each epoch, while users can also
set different evaluation metrics by using metric
parameter. For classification problems, the metric can be :
acc
(accuracy), prec
(precision), f1
(f1 score), and auc
(AUC score).
For example:
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'acc'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'prec'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'f1'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'auc'}
For regression problems, the metric can be mae
, mape
, and rmsd
(rmse).
For example:
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'rmse'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'mae'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric': 'mape'}
Cross-Validation¶
Cross-validation, sometimes called rotation estimation, is a model validation technique for assessing
how the results of a statistical analysis will generalize to an independent dataset. In xLearn, users
can use the cv()
API to use this technique. For example:
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.cv(param)
On default, xLearn uses 5-folds cross validation, and users can set the number of fold by
using the fold
parameter:
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'fold':3}
ffm_model.cv(param)
Here we set the number of folds to 3. The xLearn will calculate the average validation loss at the end of its output message.
[------------] Average log_loss: 0.547632
[ ACTION ] Finish Cross-Validation
[ ACTION ] Clear the xLearn environment ...
[------------] Total time cost: 0.05 (sec)
Choose Optimization Method¶
In xLearn, users can choose different optimization methods by using opt
parameter.
For now, users can choose sgd
, adagrad
, and ftrl
method. By default, xLearn uses the adagrad
method.
For example:
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'opt':'sgd'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'opt':'adagrad'}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'opt':'ftrl'}
Compared to traditional sgd method, adagrad adapts the learning rate to the parameters, performing larger updates for infrequent and smaller updates for frequent parameters. For this reason, it is well-suited for dealing with sparse data. In addition, sgd is more sensitive to the learning rate compared with adagrad.
FTRL (Follow-the-Regularized-Leader) is also a famous method that has been widely used in the large-scale sparse problem. To use FTRL, users need to tune more hyperparameters compared with sgd and adagard.
Hyperparameter Tuning¶
In machine learning, a hyperparameter is a parameter whose value is set before the learning process begins. By contrast, the value of other parameters is derived via training. Hyperparameter tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm.
First, the learning rate
is one of the most important hyperparameters used in machine learning. By default,
this value is set to 0.2, and we can tune this value by using lr
parameter:
param = {'task':'binary', 'lr':0.2}
param = {'task':'binary', 'lr':0.5}
param = {'task':'binary', 'lr':0.01}
We can also use the lambda
parameter to perform regularization. By default, xLearn uses L2 regularization, and
the regular_lambda has been set to 0.00002
.
param = {'task':'binary', 'lr':0.2, 'lambda':0.01}
param = {'task':'binary', 'lr':0.2, 'lambda':0.02}
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
For the FTRL method, we also need to tune another four hyperparameters,
including alpha
, beta
, lambda_1
, and lambda_2
. For example:
param = {'alpha':0.002, 'beta':0.8, 'lambda_1':0.001, 'lambda_2': 1.0}
For FM and FFM, users also need to set the size of latent factor by using k
parameter. By default,
xLearn uses 4
for this value.
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'k':2}
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'k':4}
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'k':5}
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'k':8}
xLearn uses SSE instruction to accelerate vector operation, and hence the time cost
for k=2
and k=4
are the same.
For FM and FFM, users can also set the parameter init
for model initialization.
By default, this value is set to 0.66
.
param = {‘task’:’binary’, ‘lr’:0.2, ‘lambda’:0.01, ‘init’:0.5} param = {‘task’:’binary’, ‘lr’:0.2, ‘lambda’:0.01, ‘init’:0.8}
Set Epoch Number and Early-Stopping¶
For machine learning, one epoch consists of one full training cycle on the training set.
In xLearn, users can set the number of epoch for training by using epoch
option.
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'epoch':3}
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'epoch':5}
param = {'task':'binary', 'lr':0.2, 'lambda':0.01, 'epoch':10}
If you set the validation data, xLearn will perform early-stopping by default. For example:
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.setValidate("./small_test.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'epoch':10}
ffm_model.fit(param, "./model.out")
Here, we set epoch number to 10
, but xLearn stopped at epoch 7
because we get the best model
at that epoch (you may get different a stopping number on your machine)
Early-stopping at epoch 7
Start to save model ...
Users can disable early-stopping by using disableEarlyStop()
API:
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.setValidate("./small_test.txt")
ffm_model.disableEarlyStop();
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'epoch':10}
ffm_model.fit(param, "./model.out")
At this time, xLearn performed 10 epoch for training.
Lock-Free Training¶
By default, xLearn performs Hogwild! lock-free training, which takes advantages of multiple cores to accelerate training task. But lock-free training is non-deterministic. For example, if we run the following Python code multiple times, we may get different loss value at each epoch.
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.fit(param, "./model.out")
The 1st time: 0.449056
The 2nd time: 0.449302
The 3nd time: 0.449185
Users can set the number of thread for xLearn by using nthread
parameter:
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'nthread':2}
ffm_model.fit(param, "./model.out")
If you don’t set this parameter, xLearn uses all of the CPU cores by default.
Users can disable lock-free training by using disableLockFree()
API.
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.disableLockFree()
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.fit(param, "./model.out")
In this time, our result are deterministic.
The 1st time: 0.449172
The 2nd time: 0.449172
The 3nd time: 0.449172
The disadvantage of disableLockFree()
is that it is much slower than lock-free training.
Instance-wise Normalization¶
For FM and FFM, xLearn uses instance-wise normalizarion by default. In some scenes like CTR prediction,
this technique is very useful. But sometimes it hurts model performance. Users can disable instance-wise normalization
by using disableNorm()
API.
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.disableNorm()
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.fit(param, "./model.out")
Note that we usually use disableNorm
in regression tasks.
Quiet Training¶
When using setQuiet()
API, xLearn will not calculate any evaluation information during the training, and it just train the model quietly
import xlearn as xl
# Training task
ffm_model = xl.create_ffm()
ffm_model.setTrain("./small_train.txt")
ffm_model.setQuiet()
param = {'task':'binary', 'lr':0.2, 'lambda':0.002}
ffm_model.fit(param, "./model.out")
In this way, xLearn can accelerate its training speed.


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{% extends "base.html" %} {% block title %}Citing | ChemDataExtractor{% endblock %} {% block content %}
If you use ChemDataExtractor as a resource in your research, please cite the following work:
This project has been funded by the UK Engineering and Physical Sciences Research Council (EPSRC).


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Style.20Guide.html ---
Would someone kindly point me to the Lean coding style guide. When to use greek letters, and all that? Thanks, can't seem to find it.
https://github.com/leanprover/mathlib/blob/master/docs/style.md
I always just get to it via the mathlib README
Thanks. Knew it was out there!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


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Options
The tool comes with a rather extensive help text, simply running with -help
!
| Option | Description | Default value | Applies to |
|---|---|---|---|
-rulesets <refs> -R <refs> |
Required Comma-separated list of ruleset or rule references. |
|
|
-dir <path> -d <path> |
Required Root directory for the analyzed sources. |
|
|
-format <format> -f <format> |
Output format of the analysis report. The available formats are described here. | text |
|
-auxclasspath <cp> |
Specifies the classpath for libraries used by the source code.
This is used to resolve types in source files. Alternatively, a file:// URL
to a text file containing path elements on consecutive lines can be specified. |
|
Java |
-benchmark -b |
Enables benchmark mode, which outputs a benchmark report upon completion. The report is sent to standard error. |
|
|
-cache <filepath> |
Specify the location of the cache file for incremental analysis. This should be the full path to the file, including the desired file name (not just the parent directory). If the file doesn't exist, it will be created on the first run. The file will be overwritten on each run with the most up-to-date rule violations. This can greatly improve analysis performance and is highly recommended. |
|
|
-debug -verbose -D -V |
Debug mode. Prints more log output. |
|
|
-encoding <charset> -e <charset> |
Specifies the character set encoding of the source code files PMD is reading.
The valid values are the standard character sets of java.nio.charset.Charset . |
UTF-8 |
|
-failOnViolation <bool> --failOnViolation <bool> |
Specifies whether PMD exits with non-zero status if violations are found.
By default PMD exits with status 4 if violations are found.
Disable this feature with -failOnViolation false to exit with 0 instead and just output the report. |
true |
|
-filelist <filepath> |
Path to file containing a comma delimited list of files to analyze.
If this is given, then you don't need to provide -dir . |
|
|
-ignorelist <filepath> |
Path to file containing a comma delimited list of files to ignore.
This option can be combined with -dir and -filelist .
This ignore list takes precedence over any files in the filelist. |
|
|
-help -h -H |
Display help on usage. |
|
|
-language <lang> -l <lang> |
Specify the language PMD should use. Used together with -version . See also Supported Languages. |
|
|
-minimumpriority <num> -min <num> |
Rule priority threshold; rules with lower priority than configured here won't be used. | 5 |
|
-norulesetcompatibility |
Disable automatic fixing of invalid rule references. Without the switch, PMD tries to automatically replace rule references that point to moved or renamed rules with the newer location if possible. Disabling it is not recommended. |
|
|
-no-cache |
Explicitly disables incremental analysis. This switch turns off suggestions to use Incremental Analysis,
and causes the -cache option to be discarded if it is provided. |
|
|
-property <name>=<value> -P <name>=<value> |
Specifies a property for the report renderer. The option can be specified several times. | [] |
|
-reportfile <path> -r <path> |
Path to a file in which the report output will be sent. By default the report is printed on standard output. |
|
|
-shortnames |
Prints shortened filenames in the report. |
|
|
-showsuppressed |
Causes the suppressed rule violations to be added to the report. |
|
|
-stress -S |
Performs a stress test. |
|
|
-suppressmarker <marker> |
Specifies the comment token that marks lines which PMD should ignore. | NOPMD |
|
-threads <num> -t <num> |
Sets the number of threads used by PMD.
Set threads to 0 to disable multi-threading processing. |
1 |
|
-uri <uri> -u <uri> |
Database URI for sources. If this is given, then you don't need to provide -dir . |
|
PLSQL |
-version <version> -v <version> |
Specify the version of a language PMD should use. Used together with -language . See also Supported Languages. |
|
Additional Java Runtime Options
PMD is executed via a Java runtime. In some cases, you might need to set additional runtime options, e.g. if you want to analyze a project, that uses one of OpenJDK’s Preview Language Features.
Just set the environment variable PMD_JAVA_OPTS
before executing PMD, e.g.
export PMD_JAVA_OPTS="--enable-preview"
./run.sh pmd -d ../../../src/main/java/ -f text -R rulesets/java/quickstart.xml
Exit Status
Please note that if PMD detects any violations, it will exit with status 4 (since 5.3). This behavior has been introduced to ease PMD integration into scripts or hooks, such as SVN hooks.
| 0 | Everything is fine, no violations found |
| 1 | Couldn't understand command-line parameters or PMD exited with an exception |
| 4 | At least one violation has been detected, unless -failOnViolation false is set. |
Supported Languages
The language is determined automatically by PMD from the file extensions. Some languages such as “Java”
however support multiple versions. The default version will be used, which is usually the latest supported
version. If you want to use an older version, so that e.g. rules, that suggest usage of language features,
that are not available yet, won’t be executed, you need to specify a specific version via the -language
and -version
parameter.
These parameters are irrelevant for languages that don’t support different versions.
Example:
./run.sh pmd -d src/main/java -f text -R rulesets/java/quickstart.xml -language java -version 8
- apex (Salesforce Apex)
- java
- Supported Versions: 1.3, 1.4, 1.5, 5, 1.6, 6, 1.7, 7, 1.8, 8, 9, 1.9, 10, 1.10, 11, 12, 13 (default), 13-preview
- ecmascript (JavaScript)
- jsp
- modelica
- plsql
- scala
- Supported Versions: 2.10, 2.11, 2.12, 2.13 (default)
- vf (Salesforce VisualForce)
- vm (Apache Velocity)
- xml and xsl
Available Report Formats
PMD comes with many different renderers.
The mnemonics in bold are used to select them on the command line, as
arguments to the -format
option. Some formats accept properties,
which can be specified with the -property
option on the command-line.
-
codeclimate: Renderer for Code Climate JSON format.
-
csv: Comma-separated values tabular format.
Properties:
- problem: Include problem column. Default: true.
- package: Include package column. Default: true.
- file: Include file column. Default: true.
- priority: Include priority column. Default: true.
- line: Include line column. Default: true.
- desc: Include description column. Default: true.
- ruleSet: Include Rule set column. Default: true.
- rule: Include Rule column. Default: true.
-
emacs: GNU Emacs integration.
-
html: HTML format.
Properties:
- linePrefix: Prefix for line number anchor in the source file.
- linkPrefix: Path to HTML source.
-
ideaj: IntelliJ IDEA integration.
Properties:
- classAndMethodName: Class and method name, pass
.method
when processing a directory. - sourcePath:
- fileName:
- classAndMethodName: Class and method name, pass
-
summaryhtml: Summary HTML format.
Properties:
- linePrefix: Prefix for line number anchor in the source file.
- linkPrefix: Path to HTML source.
-
text: Text format.
-
textcolor: Text format, with color support (requires ANSI console support, e.g. xterm, rxvt, etc.).
Properties:
- color: Enables colors with anything other than
false
or0
. Default: yes.
- color: Enables colors with anything other than
-
textpad: TextPad integration.
-
vbhtml: Vladimir Bossicard HTML format.
-
xml: XML format.
Properties:
- encoding: XML encoding format, defaults to UTF-8.
-
xslt: XML with a XSL transformation applied.
Properties:
- encoding: XML encoding format, defaults to UTF-8.
- xsltFilename: The XSLT file name.
-
yahtml: Yet Another HTML format.
Properties:
- outputDir: Output directory.


The HK2 module follows the patterns used by the Guice dependency module. An annotation binding scope named @ScenarioScoped
has been added, which when set as the binding scope for a class, will limit the object's lifespan to the
lifespan of a Cucumber scenario. I.e. a new instance of this object will be created for each Cucumber scenario.
The ServiceLocator used by the module is provided by the user's implementation of ServiceLocatorSource. Expose
your implementation to the Cucumber runtime by setting the environment key hk2.locator-source
to
the fully qualified name of the implementing class.
The easiest way to do this is by creating a cucumber.properties file with the configuration values, and placing this file at the root of your classpath.
Note: Your provided ServiceLocator MUST have the ScenarioScopeModule
binder installed!
If you do not provide your own custom ServiceLocatorSource, a default ServiceLocatorSource will be created by
the module. This default ServiceLocator will be populated by services found in the META-INF/hk2-locator/default
file.
Please refer to the HK2 project page for further information on HK2.


Visited Places
Enter below the infomation of where you have visited to keep track of your holidays
Add a place:
Place
landmarks
time of year
additional notes
Submit
location:
landmarks:
time of year:
notes:


This creates a standard user, an Account to internet.nl and the bridge between it (DashboardUser). There are minimal password checks on this form. This form is intended to quickly migrate API user accounts and give them access to the dashboard with the same username and password.
{% if add_account_and_user_form_state == 'success' %} {% endif %} {% if add_account_and_user_form_state == 'invalid' %} {% endif %}


I wrote a patch for openbox 3.3.1 at the very beginning of the year which was rejected by the openbox leader (to me the reasons wasn't right, but it is his project :-P). So a new release of openbox was released some weeks ago and yes, as you guess, that patch isn't compatible with the new version (3.4), so I re-wrote the patch to work.
The configuration is made in the same way as before in the rc.xml:
<margin>
<top>px</top>
<bottom>px</bottom>
<left>px</left>
<right>px</right>
</margin>
So, here it is, patch supporting margins in openbox 3.4: http://nomius.github.io/content/patches/openbox-3.4.0-margins.patch
Thanks to all the people asking me for this, as it inspiring.
A long time since my last post, looks like that was from the caves times. :-P Anyways, I was boring in this almost winter afternoon, so I started to see what I could do in a short amount of time. So I wrote a small search plugin for Firefox, so I can search for projects in freshmeat.net, you can get it from here:
http://nomius.github.io/content/patches/freshmeat.xml
Cheers! :)
I know I had to write something about the wake on lan software I was writing. I think it is done, but couldn't test it yet, so I don't wanna rush me and write about it and show it in case it doesn't work, so please stay tunned and wait a bit longer.
So, today I will show and talk you about a new thing I was doing these days. I started working on a replacement for gksu. gksu is like a graphical su. I was trying to understand it and make it work well enough, but I don't know what was in the mind of the gksu's developers, because what they did was a really wrong approach, I don't know why they wrote first a library and then the application (maybe for plugins, I'm just paraphrasing) , but anyways, together they are more than 500k, which is extremely too much. So I wrote my version of gksu, which is called ktsuss (keep the su simple, stupid). My version is only the setuid wrapper (as GTK doesn't permit setuid programs) and program itself which is less than 3k. As I know you guys love screenshots, this is how the program looks like:
Anyways, I would like to get feedback on this, so please, let me know if it fails or anything is or goes wrong on it.
Get the program from here: http://dcortarello.googlepages.com/ktsuss-1.0.tar.gz
It's been quite a while since my last post here...
Some things happened like the release of Kwort 2.2 (not as great as I would like, but still good). New knm will be released in the next few days, this will be just a bug fix release (too many thanks to the people from tuxmachines, who thanks to them I saw some bugs).
I've been developing on clip at work, which is an interesting and exciting thing, since this is my first time working on compilers (I started last year when I wrote some patches for compatibilities and bug fixes).
Well, now on to businesses and the important stuff. As I said like a month ago I was working on a patch for wavemon, which is a software that I consider very good, with a nice and clean code. I would have released it before, but I was studying and working a lot, so I only have the weekends, and as I been working on Kwort I couldn't work on this before.
So, as it says in the patch, the following bug fixes and features:
Fixed errors compilation in gcc 3.x due to default label missing.
Fixed some warnings due to the lvalue casts deprecated on gcc 3.x.
Changed ap list functions, so now it use the new iw api (this is the most important thing).
The last change is the most important, as it made the code simpler, now it works with all cards because the new wireless tools extensions are up to date.
Get the patch from here: http://nomius.github.io/content/patches/wavemon-0.4.0b-comp-fix-new-ap.patch
And for those that don't know wavemon, you can get the source code from here: http://www.janmorgenstern.de/wavemon-current.tar.gz
I hope you guys find it useful like I do. :)
Kpkg 2.4 was released some minutes ago, you can download it from here: http://prdownload.berlios.de/kpkg/kpkg-2.4.tar.gz
This version is a bug fix release, now PKGGOOD and PKGFAIL works with upgrade as it should and I fixed a weird issue due to a scope problem in bash functions.
As usual, release notes and Changelog can be found here
That's about Kpkg. Now, let's go to the important business. Kwort 2.2 final version will be released in the next couple of hours as some bugs (I hope no more appear) were fixed. The most important upgrades of this final version are kpkg and dialog. Not important upgrades were aaa_base and freedesktop packages that were modified to avoid annoying messages during the install.
Has been like a lifetime since I wrote something here, sorry folks, I been studying and working a lot.
I just released knm 2.0, I tried to do this for the last two weeks, but there was some problems with releases at berlios (unless that happened when I tried to release this new version of knm). No many improvements made, several bug fixes and some information dialogs.
You can see the release notes with the changelog here: Changelog and release notes
And you can download this new release at here: Download
In other news, Kwort 2.2rc2 have been released, check Kwort site at my right or here (Thanks to Josep Subils Rigau who keep both the domains (.com and .org) registered). Please, if you're gonna download the iso, use Andreas's (aka avarus) mirror, as it is faster.
Finally, I'm working in a patch for wavemon (http://www.janmorgenstern.de/projects-software.html), I already fixed any gcc incompatibilities but I'm still working trying to fix the ap list feature, because as it says in the source code it should be changed to the new 2.6 kernel api.
That's all for today... Stay tuned. ;)
Not really programming, unix and/or math, this is like off-topic for this weblog, but Kwort's related, so for transition, Unix related. :D
I'm happy to announce that Kwort Linux has now a new logo. Some weeks ago, Julio Cesar Puigpinos wrote to a mailing list the idea of create a new logo for Kwort. Only one person sent me some sketches, and this was Fabricio Caiazza. He made two logos and sent those to me, the first one looked like a friendly ghost and the second one (a weird penguin) who was the one who won. I would have liked to have more logos from which to choose, not because Fabricio's logo isn't nice (it is actually great btw), but the fact of having more logos means that the community wants to help. I'm not making a judgment here, maybe the community doesn't like arts, but it would be nice to get some help sometimes...
Anyways, no more talking, the logo:
In other news, Andreas Schipplock is making a new site with several languages support (I'm not sure, but I think he finished the languages support code today) for those who instead of help come with criticism and complainings about this issue (you guys know who you are, and I only feel shame for you).
Well, nothing much to do these days since I spent all my vacation doing other things. I actually started to code a C API for kpkg, which will be finished in an unknown future. :P As I have also fixed some bugs in kpg I released a new version "2.3" which is a bug fix release.
See the release notes here: Releas notes
And get the package here: Download kpkg 2.3 at berlios.de
To come back to the original question... Well, this is very tricky, since we should do things normal people normally do. In this case "no computer related things". But, ok, people know, programmers are very weird, so when we are boring we do the opposite, which in this case would be "computer related things". :P
So... What have I done? I improved my "IDE", and it is quoted because it's actually vim only. So, how can someone improve vim? Simple! By just reading some of these books: http://iccf-holland.org/click5.html
Or if you don't want to spend your money on that, you can actually learn vim with :help inside of vim. So, this is my new vimrc file, there's nothing very weird on it, only a set of templates, some options and options to compile simple projects and full autotools projects.
I hope you enjoy it and of course, take whatever you need from it: https://github.com/nomius/dotfiles/blob/master/.vimrc
Last month I started using openbox to create an easy to use desktop for programmers. Everything was nice, but I wanted to use yabb with adesklets, and then ipager... Everything was nice when I launched those applications/applets, but when I maximize a window, it was over the applet. There are some applets where that is ok, like the weather applet, but that wasn't right for a panel (like yabb) or a pager like ipager (this last one should set struts). The solution was margins, Xfwm4 has it and other several wm (like metacity and sawfish) has it too. So I wrote a small patch to give to openbox margins. I was very happy with it, and gave it to other users to try it (thanks gregf in irc://irc.oftc.net/slackware who tested it for a while, and who stills using it), so I made the submition in openbox's bugzilla. But guess what... The patch was rejected, and the bugzilla entry closed and deleted. The answer of the developer was: It's up to the pager/panel to set properties called struts. Openbox properly respects those and doesn't maximize over them.
Which is great... I mean... Follow standards, that's good... But applets does not set struts, and sometimes the users just wants margins. So anyways, the patch is here for everyone who wants to use it. Just has to apply it and set the margins in the configuration file like this:
<margin>
<top>px</top>
<bottom>px</bottom>
<left>px</left>
<right>px</right>
</margin>
So here's the patch: http://nomius.github.io/content/patches/openbox-3.3.1-margins.patch
I started using ttysnoop (it's like a vnc for consoles) at work but there was so troubles while compiling, so this patch fixes errors, warnings and adds things to Makefile to make it more flexible and able to compile the program itself, read the comments in the patch for a more detailed information. And please, if someone finds Carl Declerck's email (another than carl[@]miskatonic[.]inbe[.]net), send this patch to him or drop a comment here reporting me his real mail, since I couldn't send him the patch because his email address doesn't exists anymore.
If you want to start using it you'll probably want to apply this patch.
I leave you the link here:
http://nomius.github.io/content/patches/ttysnoop-0.12c-fixes.patch


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GREEN TETTERINE- miconazole nitrate ointment
S.S.S. Company
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active Ingredient:
Miconazole Nitrate 2%
Uses
treats most athlete's foot, jock itch and ringworm. Relieves itching, scaling, cracking, burning, redness, soreness, irritation, discomfort, and chafing associated with jock itch. Relieves itchy, scaly skin between the toes or itching, burning feet associated with athlete's foot.
Ask your health professional regarding additional uses
Warnings
Do not use on children under 2 years of age unless directed by a doctor
For external use only
When using this product
- Avoid contact with the eyes
Stop using and ask a doctor if
- for athlete's foot and ringworm, irritation occurs or if there is no improvement within 4 weeks.
- for jock itch if irritation occurs or if there is no improvement with-in 2 weeks
KEEP OUT OF REACH OF CHILDREN
If swallowed, get medical help or contact a Poison Control Center right away.
Directions
Clean the affected area and dry thoroughly. Apply a thin layer of the product over the affected area twice daily (morning and night) or as directed by a doctor. Supervise children in the use of this product. For athlete's foot pay special attention to spaces between the toes, wear well fitting ventilated shoes, and change shoes and socks at least once daily. For athlete's foot and ringworm use daily for 4 weeks. For jock itch, use daily for 2 weeks. If condition persists longer consult a doctor. This product is not effective on the scalp or nails.
Other Information
store at 15°-30°C (59°-86°F)
To report a serious adverse event or for product information contact<PHONE_NUMBER>.
Other Ingredients
FD&C blue #1, fragrance, paraffin wax, petrolatum, and starch
Principal Display Panel
NDC 12258-241-01
Tetterine®
Ointment
Antifungal
Cures: Athlete's Foot,
Jock Itch and Ringworm
Net wt. 1oz. (28.4g.)
Other Packaging Content
Manufactured by S.S.S. Company Atlanta, GA 1-800-237-3843
www.ssspharmaceuticals.com
Rev. B
RETAIN THIS CARTON FOR FUTURE REFERENCE!
S.S.S. Company


AddNodeAnimationTime()
Syntax
AddNodeAnimationTime(#NodeAnimation, Time)Description
Add time to the specified #NodeAnimation.
Parameters
#NodeAnimation The node animation to use. Time The time to add (in milliseconds) to the specified animation, relative to the current animation time.
Return value
None.
See Also
StartNodeAnimation()
Supported OS
All


{% extends "layout.html" %} {% block page_title %} GOV.UK prototype kit {% endblock %} {% block content %} Document download prototypes 3 October 2017 NHS — No access control, downloads file straight away 14 September 2017 1 time download Tax credit — 2FA Tax credit — Start of service 31 August 2017 1 time download Tax credit — National insurance number Tax credit — Date of birth 2 time download Tax credit — National insurance number 15 August 2017 Example service Junior fishing licence application From email Generic, 2FA Junior fishing licence, no auth, no post D1 driver’s licence D1 driver’s licence, prefilled, 2FA {% endblock %}


#edit sudo vim /etc/minidlna.conf #restart the service after changes sudo service minidlna force-reload
#edit sudo vim /etc/samba/smb.conf #restart the service after changes sudo /etc/init.d/samba restart
/dev/sda1 /media/usbhdd ntfs auto,user,rw,uid=smbguest,gid=smbguest,umask=0 0 0
| PP1 5V from micro-USB PP2 5V from micro-USB PP3 GND PP4 GND PP5 GND PP6 GND PP7 5V after polyfuse PP8 3V3 PP9 1V8 PP10 Goes from 3V3 to 2V on brownout PP11 DAC_2V5 (for composite video DAC) PP12 AUD_2V5 (for PWM audio drivers) PP13 Goes from 3V3 to 2V on ACT activity PP14 SD_CLK PP15 SD_CMD PP16 SD_DAT0 PP17 SD_DAT1 PP18 SD_DAT2 PP19 SD_DAT13 PP20 H5V |
PP21 RUN signal (reset) PP22 Goes from 3V3 to 2V on activity of green (link) ethernet jack LED PP23 Goes from 3V3 to 2V on activity of yellow (speed) ethernet jack LED PP24 COMPVID PP25 AUDIO_L PP26 AUDI_R PP27 VBUS (USB 5V power) PP28 ETH_CLK (25.000 MHz) PP29 VC_TMS PP30 VC_TRST_N PP31 VC_CLK PP32 VC_TDI PP33 VC_TDO PP34 GND PP35 GPIO6 of LAN9514 PP36 GPIO7 of LAN9514 PP37 CAM_GPIO0 PP38 CAM_GPIO1 PP39 SCL0 PP40 SDA0 |


Although I was initially defeated by the seemingly defamatory remarks, I quickly realized that they were merely delectable words of encouragement meant to spur me onward and push me to success. [G|D]
As I packed my bags for my unexpected dent, I had to steel my heart and mind against the looming feeling of depersonalization that accompanies a sudden departure.  [G|D]
When I saw people desecrating the sacred places of my faith, I felt a wave of despair wash over me, yet I still had the strength to dibble in the dirt, planting the seeds of hope along the way. [G|D]


Title
Link
Link
Link
Link
Title
Link
Link
Link
Link
Crafts
Get inspired with some awesome craft ideas!
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Food Porn
Find delicious things to make, serve and eat.
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THE ADDICTION A film review by Chuck Dowling Copyright 1996 Chuck Dowling
(1995) NO STARS - C:Lily Taylor, Christopher Walken, Annabella Sciorra, Paul Calderon.
Abel Ferrera, director of such mediocre films as "Bad Lieutenant" and "Body Snatchers", and of such awful films as "The Gladiator" and "Dangerous Game", adds another to his awful list. Basically, "The Addiction" is just another low budget vampire flick, although the term "vampire" is never used in the film. It tries to be some sort of psuedo-intellectual metaphor for drug addiction and even man's evilness upon his fellow man.
Taylor plays a college student who is attacked one night in a dark alley by vampire Sciorra.  Pleasant. Then Taylor starts to get "hungry" so she goes out into the city to get a "fix". At first, she apparently can't bring herself to actually bite anyone, so she brings along hypodermic needles and withdraws blood from homeless people. She then proceeds home and injects herself with the blood. All of which we get to watch. Boy o boy, at this point we've got vomit and needles, my eyes are GLUED to the screen. I wonder what other disgusting and unpleasant things we'll get to see.
Taylor soon gets the hang of biting people, so thankfully, no more needles. She meets up with Christopher Walken, who plays a sort of mentor vampire who has been around much longer than Taylor has. In his brief appearence he spouts out dialog about literature and about man's inhumanity throughout history. Then he leaves, and the carnage (and unpleasantness) continues.
The only new thing that "The Addiction" tells us about vampires is that if a vampire approaches you on the streets, he or she will give you the option of whether or not you want your life saved. The vampire wants you to tell it to "go away" with strength and confidence, like you really mean it, instead of just begging and pleading for your life like a little baby. Yes, that's right, I kid you not. In conclusion, the whole film is boring and unpleasant, two things that never add up to a good movie. The film is in black and white if anyone is interested.
Have A Question Or Comment? Email Me At<EMAIL_ADDRESS>-- Chuck Dowling
Visit Chuck's Movie Reviews at http://users.southeast.net/~chuckd21/ Over 1,500 movies rated and/or reviewed! Movie news, box office reports, film related links, and reader's polls and reviews.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Deleting a List
How to delete a list from the Admin Lists page.
- Navigate to Admin > Advanced Settings > Lists.
- Navigate to and select the required list.
- Click the Delete List. This displays the message "Are You Sure You Wish To Delete This Item?"
- Click the Yes button confirm.


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{% extends 'task/main.html' %} {% block content %}
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--- title: New BizTalk Deployment with NAnt date: '2004-12-07T19:05:00.001-05:00' author: John tags: - BizTalk - Build/Setup/SCM modified_time: '2010-09-05T14:46:47.391-04:00' blogger_id: tag:blogger.com,1999:blog-2811308028656623966.post-1630191225582388919 blogger_orig_url: http://pragmatic-software.blogspot.com/2004/12/new-biztalk-deployment-with-nant.html ---
Scott has a major update to his award winning BizTalk deployment script.


You can make a one-time or recurring donation today. Monthly, sustaining contributions are the cornerstone of our funding. These monthly memberships are critical for keeping organizers in key districts, supporting volunteers, and complementary digital advertising.


Header 1
link to table
link to table
Header 1
Header 1
Header 1
Header 1
Header 1
This is our paragraph. This is our paragraph. This is our paragraph. This is our paragraph.
second paragraph
this is a link to
about
.
This is a link to Adele' FB Page
- thing a
- thing a
- thing a
- thing a
- thing a
- thing a
- thing a
- thing a
- thing a
forms


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object solver.Solver solver.LESolver solver.Solver0
public class Solver0
Class for iterative linear equation solvers. It can be used for solving linear system of equations (A x = b). This class uses an external library called "MTJ". The properties of solvers are as follows; CG : Conjugate Gradients solver. CG solves the symmetric positive definite linear system Ax=b using the Conjugate Gradient method. CGS : Conjugate Gradients squared solver. CGS solves the unsymmetric linear system Ax = b using the Conjugate Gradient Squared method. BiCG : BiCG solver. BiCG solves the unsymmetric linear system Ax = b using the Preconditioned BiConjugate Gradient method. BiCGstab : BiCG stablized solver. BiCGstab solves the unsymmetric linear system Ax = b using the Preconditioned BiConjugate Gradient Stabilized method. QMR : Quasi-Minimal Residual method. QMR solves the unsymmetric linear system Ax = b using the Quasi-Minimal Residual method. QMR uses two preconditioners, and by default these are the same preconditioner. GMRES : GMRES solver. GMRES solves the unsymmetric linear system Ax = b using the Generalized Minimum Residual method. The GMRES iteration is restarted after a given number of iterations. By default it is restarted after 30 iterations. IR : Iterative Refinement. IR solves the unsymmetric linear system Ax = b using Iterative Refinement (preconditioned Richardson iteration). The properties of preconditioners are as follows; ICC : Incomplete Cholesky preconditioner without fill-in using a compressed row matrix as internal storage. ILU : ILU(0) preconditioner using a compressed row matrix as internal storage. DP : Diagonal preconditioner. Uses the inverse of the diagonal as preconditioner.
| Field Summary | |
|---|---|
static int |
BiCG_
Static variable for the iterative solver type. |
static int |
BiCGstab_
Static variable for the iterative solver type. |
static int |
CG_
Static variable for the iterative solver type. |
static int |
CGS_
Static variable for the iterative solver type. |
static int |
DP_
Static variable for the preconditioner type. |
static int |
GMRES_
Static variable for the iterative solver type. |
static int |
ICC_
Static variable for the preconditioner type. |
static int |
ILU_
Static variable for the preconditioner type. |
static int |
IR_
Static variable for the iterative solver type. |
private int |
precondType_
Preconditioner type. |
static int |
QMR_
Static variable for the iterative solver type. |
private static long |
serialVersionUID
|
private no.uib.cipr.matrix.sparse.IterativeSolver |
solver_
Iterative solver. |
private int |
solverType_
Iterative solver type. |
| Fields inherited from class solver.LESolver |
|---|
COLSOL_, direct_, GaussSymm_, iterative_ |
| Fields inherited from class solver.Solver |
|---|
CDS_, CRS_, eigenSystem_, linearSystem_, solver0_, solver1_, solver2_, solver3_, solver4_, USB1S_, USB2S_, USPS_ |
| Constructor Summary | |
|---|---|
Solver0(java.lang.String name,
int solverType,
int precondType)
Creates linear system iterative solver. |
| Method Summary | |
|---|---|
private void |
checkParameters(int solverType,
int precondType)
Checks given parameters for the solver and preconditioner types. |
void |
clear()
Clears attributes of solver (other than parameters). |
private void |
createPreconditioner(CDSMat matA)
Creates and sets up the selected preconditioner. |
private void |
createSolver(DVec vecX)
Creates iterative solver for the given solver type |
int |
getIterations()
Returns number of iterations performed. |
int |
getPreconditionerType()
Returns the preconditioner type of this solver. |
double |
getResidual()
Returns Returns final residual. |
int |
getSolutionType()
Returns the solution type of solver. |
int |
getSolverType()
Returns the solver type. |
int |
getStorageType()
Returns the storage type of solver. |
int |
getType()
Returns the type of solver. |
void |
initialize(Mat matA,
DVec vecX)
Initializes solver. |
void |
solve(Mat matA,
DVec vecB,
DVec vecX)
Solves system of linear equations (A x = b). |
| Methods inherited from class solver.LESolver |
|---|
getProblemType |
| Methods inherited from class solver.Solver |
|---|
exceptionHandler, getName, setName |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
private static final long serialVersionUID
public static final int CG_
public static final int CGS_
public static final int BiCG_
public static final int BiCGstab_
public static final int QMR_
public static final int GMRES_
public static final int IR_
public static final int ICC_
public static final int ILU_
public static final int DP_
private int solverType_
private int precondType_
private no.uib.cipr.matrix.sparse.IterativeSolver solver_
| Constructor Detail |
|---|
public Solver0(java.lang.String name, int solverType, int precondType)
name
- The name of solver.solverType
- Solver type.precondType
- Preconditioner type.| Method Detail |
|---|
public int getPreconditionerType()
public int getIterations()
public double getResidual()
public int getSolverType()
LESolver
getSolverType
in class LESolver
public int getSolutionType()
LESolver
getSolutionType
in class LESolver
public int getStorageType()
Solver
getStorageType
in class Solver
public int getType()
Solver
getType
in class Solver
public void initialize(Mat matA, DVec vecX)
LESolver
initialize
in class LESolver
matA
- Coefficient matrix (A).vecX
- Solution vector (x).public void solve(Mat matA, DVec vecB, DVec vecX)
LESolver
solve
in class LESolver
matA
- Coefficient matrix (A).vecB
- Right hand side vector (b).vecX
- Solution vector (x).public void clear()
LESolver
clear
in class LESolver
private void createSolver(DVec vecX)
vecX
- Solution vector (x). Has to be dense vector (DVec).private void createPreconditioner(CDSMat matA)
matA
- Coefficient matrix (A). Has to be compressed-diagonal-storage
sparse matrix (CDSMat).private void checkParameters(int solverType, int precondType)
solverType
- The type of iterative solver.precondType
- The type of preconditioner.
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


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- enhance customized methodologies
- seize distributed partnerships
- incubate innovative experiences
- recontextualize out-of-the-box e-services


Directory listing for /R Programming/
Assignment 7/
Assignment8/
R reference card/
step for Rstudio/
Tutorial PPT/


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Some interesting things about Mu'izzi
He lived in the courts of Malik Shah I and Sultan Sanjar.
He is known to have composed 18,000
distichs
(couplets).
He is thought to have been accidentally killed by an arrow shot by Sanjar's son.


Classes Today
Monday, February 5, 2019
Operating System
Lecture
LT 19
13:30-14:30
Human Computer Interaction
Tutorial
TR +1000
14:30-15:30
Advance Software Engineering
Lab
HWLab3
15:30-17:30
Lecture
LT 19
13:30-14:30
Tutorial
TR +1000
14:30-15:30
Lab
HWLab3
15:30-17:30


uuidx
A tiny (<1KB), fast, and cryptographically secure UUID (v4) generator for Crystal.
This is the Crystal version of @lukeed/uuid
Installation
- Add the dependency to your
shard.yml
:
`yaml
dependencies:
uuix:
github: krthr/uuix
`
- Run
shards install
Usage
require "uuix"
puts UUIX.random # bc524cd7-5ec3-48c4-9bcc-e9013c69dd6e
Benchmarks
Crystal 0.33.0 [612825a53] (2020-02-14)
LLVM: 8.0.0
Default target: x86_64-unknown-linux-gnu
UUIX: 920.14k ( 1.09µs) (± 9.68%) 880B/op fastest
Crystal UUID: 647.32k ( 1.54µs) (± 7.53%) 0.0B/op 1.42× slower
Performance
Taken from https://github.com/lukeed/uuid
The reason why this UUID.V4 implementation is so much faster is two-fold:
- It composes an output with hexadecimal pairs (from a cached dictionary) instead of single characters.
- It allocates a larger Buffer/ArrayBuffer up front (expensive) and slices off chunks as needed (cheap).
The internal ArrayBuffer is 4096 bytes, which supplies 256 random
invocations.
A larger buffer would result in higher performance over time, but I found this to be a good balance of performance and memory space.
Contributing
- Fork it (<https://github.com/krthr/uuix/fork>)
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
Contributors
- krthr - creator and maintainer


Canvas is not supported
Controls
WASD - Move
Spacebar - Jump
CTR + ("+"/"-") - Zoom
F5 if you cant see the shields :D


{% extends 'template-lab-4a.html' %} {% set mainClasses = 'nhsuk-u-padding-top-0' %} {% block pageTitle %} Symptoms - NHS {% endblock %} {% block beforeContent %} {% endblock %} {% block content %}
A red eye is usually nothing to worry about and often gets better on its own. But sometimes it can be more serious and you'll need to get medical help.
Lots of different things can cause a red eye.
Your symptoms might give you an idea of what's causing it.
| Symptoms | Possible causes |
|---|---|
| Bright red area in the white of your eye | burst blood vessel |
| Gritty or burning feeling, sticky eyes | conjunctivitis |
| Sore, blurry or watery eyes | dry eyes |
| Itchy, sore or red eyelids | blepharitis |
| Feels like there's something in your eye | ingrowing eyelashes |
| Swollen, drooping or twitching eyelid, or a lump on your eyelid | eyelid problems |
If your eye does not hurt and your sight is not affected, it's probably nothing serious. It may get better on its own in a few days.
Until it has got better:
If your GP cannot find what's causing your red eye, they may refer you to an eye specialist (ophthalmologist) for tests.
Page last reviewed: 02 August 2019
Next review due: 02 August 2022


class ContractCodeBuilder : Builder<String>
Builds method of contract with parameters in SHA3 encryption
Author
Daria Pechkovskaya
<init> |
Builds method of contract with parameters in SHA3 encryption ContractCodeBuilder() |
build |
Must be implemented and return the factory is supposed to build. fun build(): String |
setMethodName |
Sets name of contract method fun setMethodName(methodName: String): ContractCodeBuilder |
setMethodParams |
Sets parameters to contract method fun setMethodParams(params: List<ContractMethodParameter>): ContractCodeBuilder |


Ploror688.github.io
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Q needs you
It’s time for Q to grow. But it’s also 2020—we’re right in the middle of the COVID-19 global pandemic. Are you in need of a project to take your mind off current events? Do you love JavaScript, CSS, and the free Web? How about breaking down complex subjects into simple bite-sized chunks of copywriting and minimalist diagrams? Are you a graphic designer or copywriter? Are you excited about quantum computing? Join our Q.js project on GitHub, create or resolve some issues, and help us make quantum accessible!
Read the following sections to familiarize yourself with Q’s objectives, inspirations, and plans for the future.
Roadmap
Thursday, 30 April 2020, is our one-year anniversary. From conception 12 months ago to now we’ve built a functioning code API and a drag-and-drop circuit editor. While there are still many exciting features to add, and a list of issues to resolve, this anniversary is a milestone worth celebrating. As initial work on the circuit editor interface winds down our focus will shift back to optimization of the simulator itself. During Summer 2020 our primary focus will be wrangling multiple execution threads and hardware acceleration via WebGPU. On the back burner we’ll be adding new import and export utilities to make hopping between Q and other quantum suites a breeze.
Documentation style
Concepts included
For most people anything “quantum” is brand new. Even the simpler mathematics are things that most folks probably haven’t seen since high school. (When’s the last time the average person actually had to think about complex numbers?) If we’re going to make quantum accessible we need to include simple / legible / digestible concept primers for these topics right in the documentation, and also provide links to learning resources.
To this end documentation for Q classes—such as Q.Matrix, Q.Qubit, and so on—include brief explanations of the mathematics that the class represents before diving into the code and usage specifics. We also provide a separate Resources page with links to learn more about quantum computing in general.
Interface
This collection of HTML
files serve as Q’s interactive
documentation.
Its design objectives are tidiness, shareability, and consistency.
When possible the general UI features,
such as the main navigation
or body modules,
are visually flat.
Buttons intended to be “pushed”
or circuit operations intended to be “dragged and dropped”
may be represented as dimensional.
JavaScript style
Programs must be written for people to read, and only incidentally for machines to execute.
Structure and Interpretation of Computer Programs,
Preface to the first edition
Q’s source code is verbose, heavily commented, and there’s great empathy for fellow learners. Visual hierarchy is key when facing a brick of monospace code gibberish. White space helps; white space around variables, between conceptually different blocks of code. (You’ve got to let code breathe.) Semicolons as line-enders are avoided unless absolutely necessary. (They’re just visual clutter otherwise; typographic noise in the signal.) Q is meant to be flexible and expressive to adapt to your style. “Fluent interface” method chaining is prized, but Q often uses static class methods as a foundation for instance methods, so you’re free to use either approach.
Low barrier to entry
Not everyone’s a grizzled software engineer—nor should they be. If you’re reading this on any desktop or laptop, you already have all the tools you need to start playing with Q. And “getting started” shouldn’t require installing new applications, signing up for new accounts, or spinning up a server thread from the command line just to load a website and play. (That’s one reason Q does not use JavaScript modules.) Just drag and drop any HTML file from Q’s code repository onto your browser window and you’re up and running. This is the beauty of Sir Tim’s World Wide Web and every single person who has ever contributed to the art of the browser. In general you can always add more layers to something—install what you will, tweak how you like. But removing layers is damn near impossible. Q aims to ship with few layers.
Hackable by design
Q places heavy emphasis on the ability to inspect anything right from your own browser console in realtime. This is one of the reasons Q shuns JavaScript modules, is sensitive to the use of closures, and hangs all of its functionality off of the Q object which sits in the global scope For us “hackability” is important—particularly for teaching and learning. By “hackable” we mean heavily inspectable and customizable by the curious—novice and expert alike. We do not not mean “hackable” as in “containing security flaws.”
Less Java, more JavaScript
Some ES6 syntax is preferred, but the bits that disfigure JavaScript to look more like Java, C++, C#, etc. are weeded out, bagged, and tossed in the river.
There is nothing wrong with
prototypal inheritance
and it’s in fact
more powerful than classical inheritance.
JavaScript is uniquely beautiful in its flexibility
and to paper over that with
“class
”,
or ignore the power of
closures,
or pretend private variables weren’t possible prior to 2015
is like confusing an aptitude for Rock Band
with actual musicianship.
While Q’s internal code uses let
and const
when declaring variables,
the examples here use var
instead;
redeclare and overwrite example variables to your heart’s content.
Destructive vs non-destructive methods
Q pays particular attention to destructive versus non-destructive instance methods.
For example, the archetypal non-destructive method is .clone()
which returns a new sibling instance of the object it was called from
and by its nature makes no alterations to that original object.
In contrast, .copy$( sibling )
is the archetypal destructive method
which causes an instance to alter itself by overwriting its own properties’ values with values from a sibling instance, then returns itself.
The dollar sign suffix is similar to
Ruby’s
exclamation point suffix and is a reminder that the operation is destructive; will alter the instance.
var
cat = new Q.ComplexNumber( 1, 2 ),
dog = new Q.ComplexNumber( 3, -4 )
cat.toText() // Returns '1 + 2i'
dog.toText() // Returns '3 - 4i'
cat.add( dog ) // Non-destructive.
cat.toText() // Still returns '1 + 2i'
cat.add$( dog )// Destructive. Note the ‘$’ suffix.
cat.toText() // Now returns '4 - 2i'
The notable exception to this is the “Python-inspired” circuit editing syntax which uses convenience functions not suffixed with a dollar sign. This allows creating a circuit in Q to more closely resemble editing a Python script for Amazon Braket, IBM Qiskit, and so on:
Q( 2, 2 )
.h( 1, 1 )
.x( 2, [ 1, 2 ])
CSS style
Similar to our JavaScript style,
our CSS eschews modules and shadow DOM containers
in favor of carefully named global variables.
We feel it should be easy for you, the developer,
to be able to remix and reconfigure Q with ease.
Reuse the Q classes, customize them, or leave them be.

Our CSS variables are prefixed with “--Q
”
and several categories, such as color palette values,
are exposed for your convenience.