Output random effects estimates from SKAT.
Output random effects estimates from SKAT.
Output random effects estimates from SKAT.
```R bh=NULL colnamesbh=NULL for(i in 1:2){ for(j in 1:2){ bh=cbind(bh,samps[[1]][,paste(‘b[‘,i,’]’,sep=””)]*samps[[1]][,paste(‘h[‘,j,’]’,sep=””)]) colnamesbh=c(colnamesbh,paste(“b”,i,”h”,j,sep=””)); } } colnames(bh)=colnamesbh bh=mcmc.list(as.mcmc(bh)) plot(bh,density=F)
I have to do the following to allow pytyhon to correctly load rpy2 python setup.py build_ext –ignore-check-rversion install
#Python memo
Hold-down the command key, then click the file you have found iin Spotlight, then, Spotlight will go to folder
#Supported documents Jekyll supported three kind of documents. Posts, Pages and Collections
comment out tag Comment tags are used to insert comments in HTML.
#grep
options(error = recover)


Ping-Pong
Let's have some fun!
Rules of Ping-Pong
Ping Pong will count up to your number from 1 with the following exceptions:
Numbers divisible by 3 become 'ping'
Numbers divisible by 5 become 'pong'
Numbers divisible by 3 and 5 come 'pingpong'
Enter your number here:
Ping Pong!


 I highly recommend taking a look at them to get a sense of what rotations are doing before you dig too far into the code.
It’s key that you read the previous tutorial on AVL trees
for this tutorial to make sense. We’ve covered the concepts of node balance factors, keeping node height differential to within [-1, 1]
, and the use of rotations to correct imbalanced nodes.
Today we’re going to incorporate this balancing behavior into our tree structure so that the tree will automatically rebalance itself and update node height upon insertion and deletion.
Generating Imbalance
Before we code, let’s first consider how trees can go out of balance. We will correct any imbalance when it is -2 or 2, so the tree will never get farther out of balance than this at a node.
There are four cases that can cause imbalance. In each case, we are starting at the imbalanced node and considering the configuration of its two children (child and grandchild).
Single rotations required
[1] Right side, right child. Solution: rotate left.
We can add new child on the right that causes the root to become right-heavy like this:
We can fix this by rotating the tree left about 1.
Now the tree is balanced.
[2] Left side, left child.
We can fix this by rotating the tree right about 3.
Note that when the node that caused the imbalance is on the same side of its parent as its parent is of its parent, we perform a rotation that is opposite the direction of this side about the parent’s parent to correct the behavior.
With numbers for the two cases, since that’s super confusing:
- [1] 2 is on the right of its parent 1. 3 is also on the right of its parent 2. We fix the imbalance by rotating left (opposite of right) about the grandparent, 1.
- [2] is on the left side of its parent 3. 1 is also on the left side of its parent 2. We fix the imbalance by rotating right (opposite of left) about the grandparent, 3.
Double Rotations Required
The other two cases require us to rotate twice. The first rotation reduces the problem to one of the two problems above.
Notably, the first in a double rotation is about the first child of the imbalancedd node, not the second.
[3] Right side, left child.
First we have to rotate right about three, and then left about one.
Rotating right about three gives us:
1
\
2
\
3
after which it is easy to create the balanced tree, applying rotation [1] from above.
[4] Left side, right child.
First we have to rotate left about one, and then right about three.
Rotating left about one gives us:
3
/
2
/
1
after which it is easy to create the balanced tree by applying rotation [2] from above.
Coding Strategy
When we insert an element, we’ll record the nodes that we traversed to get to the insertion spot in a stack. Then we’ll pop items off the stack one by one, retracing our steps to the tree root. At each node, we’ll recalculate its balance. If the node is imbalanced, we’ll apply the appropriate balancing rotations.
How do we rotate imbalanced nodes? We can use the sign of the imbalance to determine this.
Remember that Balance will be Left Branch Length - Right Branch Length. If the balance is -2, the node is right-heavy. If the balance is +2, the node is left-heavy.
If we encounter balance -2, we are either a [1] Right side, right child
or [3] Right side, left child
case. We can determine which by looking at the balance of the right child (we know right, since the parent is right-heavy) of this imbalanced parent.
The child will have balance of either 1 or -1.
If the balance is 1, we know that we are in case [3] Right side, left child
and require a double rotation (child right-parent left).
If the balance is -1, we are in case [1] Right side, right child
case and only require a single rotation (parent left).
| BF Parent | BF Child | Rotations to Perform | ||
|---|---|---|---|---|
| 2 | -1 | Child left, Parent right | ||
| -2 | 1 | Child right, Parent left | ||
| 2 | 1 | Parent right | ||
| -2 | -1 | Parent left |
Four possibilities with rotational corrections
Code Implementation
We’ll perform a depth-first search to find the spot at which to insert the node.
For inserts, we can observe that since we recurse down the tree until we reach a null (a leaf node), we don’t have to worry about the inserted node itself being imbalanced. We only have to check its parent node and all other nodes on that path to the top of the tree.
To facilitate checking, we’ll store the nodes we traverse in a stack, since we are going from root to child to find the node, and we want to trace back from child to root to perform balancing. As we push items onto the stack, we’ll descend, and as we remove items from the top of the stack, we’ll ascend.
When we remove nodes from the stack, we check each one to see if it is balanced. We’ll write a simple method for the node, getBF
that fetches the balance factor (the difference in the max height of the left subtree and the max height of the right subtree). If we encounter nodes whose difference is -2 or 2, we perform the appropriate rebalancing procedure.
node.prototype.getBF = function () {
return maxHeight(this.left) - maxHeight(this.right);
};
function maxHeight(tree) {
if (tree == null) {
return 0;
} else {
let leftD = maxHeight(tree.left);
let rightD = maxHeight(tree.right);
return leftD > rightD ? leftD + 1 : rightD + 1;
}
}
We’ll use our previous node search method, adding a stack so that if we find the insert point, we can retrace our path up the tree and correct any imbalances.
Here’s what it looks like.
function balanceNode(q, tree) {
// balances a node
let bf = q.getBF();
if (bf == 2 || bf == -2) {
if (bf == 2) {
// left-heavy parent
let childBalance = q.left.getBF();
if (childBalance == 1) {
// left-child
rotateRight(tree, q);
} else if (childBalance == -1) {
// right child
rotateLeft(tree, q.left);
rotateRight(tree, q);
}
} else if (bf == -2) {
// right-heavy parent
let childBalance = q.right.getBF();
if (childBalance == 1) {
// left-child
rotateLeft(tree, q);
} else if (childBalance == -1) {
// right child
rotateRight(tree, q.right);
rotateLeft(tree, q);
}
}
}
}
Things are a little bit terse, but think about what’s happening here. For a given node, we check its balance factor. If the node has a balance factor of -2 or 2, it’s imbalanced. We then look to either the left (2) or right (-2) child, depending on balance factor. We check to see which direction that child is imbalanced in, either (1) left or (-1) right.
Then, all we do is look up the balance factor values in the chart we prepared and code in the appropriate functions.
| BF Parent | BF Child | Rotations to Perform | ||
|---|---|---|---|---|
| 2 | -1 | Child left, Parent right | ||
| -2 | 1 | Child right, Parent left | ||
| 2 | 1 | Parent right | ||
| -2 | -1 | Parent left |
Super easy. That’s literally all there is to insertions.
Congratulations
You now understand the basics of insertions into a balanced binary tree. By performing rebalancing operations, the tree become more performant in lookup. No longer will it degenerate to a linked list (just try adding 1, 2, 3, 4, 5, 6, 7, 8, 9, 10… in the CodePen and watch how the tree responds).
Next time we’ll cover deletion. It’s not too tricky, but let’s pace ourselves.


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 113488general/93105holegolf.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/113488-general/topic/hole.3F.20golf!.html


Caching has always been a necessary ends to deliver optimum speed that we would rather not have to worry about. It’s additional complexity and requirements which can easily go awry. What’s worse is that in modern development and the ever driving need for speed we have added layers and layers of caching onto our work.
On the server it is common to create a cache of commonly requested data objects in memory to allow faster retrieval than reading from the database with every request. The most popular one currently being REDIS I imagine, though there are many alternatives and most languages make it relatively trivial to implement such a feature natively. If there is computationally expensive operations being performed on the server, the results of those operations may also be cached in the same fashion. This was relatively common for caching HTML output to reduce overhead. The long story short is that there may be multiple caching methods and options used within this tier alone.
In most environments there is a layer between your servers and the users browser and that is the content delivery network (CDN). While not a requirement, if you want a fast website they basically are.  As requests go through the CDN, it will observe the rules you have created for it and create local copies in memory based on a key created from request parameters. When future requests come through for that resource, the CDN will provide that resource from it’s local cache provided that the local copy doesn’t exceed the length of time its configured to store that resource. The usefulness of this setup is that the CDN will have locations of it’s servers distributed across the nation (or world) and handle the DNS settings to ensure that a given user makes the shortest network jump possible to retrieve the content, reducing latency. It should be noted that CDNs largely only support GET requests, POST, PUT, and DELETE will all be proxied to your servers for each request barring some more complex setup.
There is also a level of caching provided by browser caching GET requests based on the cache control headers sent by the server. The most commonly used ones being max-age and no-cache. When max-age is used, a copy of the file is made and stored locally. To reduce future requests, the browser will use the locally saved copy until the current date is greater than the max-age provided in the response headers. Once it is exceeded, the browser will ping the file for it’s last modified date. If that modified date is greater than that of the locally stored version it will proceed to make a new request of that file. No-cache is basically the default way to prevent your user’s browser from doing this.
It should be noted that there are limits to the browser cache. There is a hard limit to the overall size of files which it will store locally. If you think about this it’s rather obvious considering it would otherwise mean you were making a copy of the internet everywhere you went.
More recently, there has been yet another instance of cache handling in the browser using service workers. Service workers are essentially background JavaScript processes which can be used to do things like intercept http requests on their way into and from the browser. This allows for a better level of control than browser cache has allowed, something like use the current stored version and reload the new version in the background. This is an enormously powerful tool and stands to really improve the options available to front end developers. That said, the proverbial “With great power comes great responsibility” applies here. It’s very easy to create an overly complex and fragile solution using this technique and the frameworks which enable it are still a bit on the cutting edge.
They are and they aren’t. In theory they are all wonderful and make a better user experience. In practice I’ve found that organizing the layers of cache and understanding their impact on one another and the final output to the user is rushed and not well thought through, leading to issues & bugs that are frankly awful to try and debug if the architecture isn’t documented. Further, it adds significant weight to onboarding new hires.
Documentation is important. It is even more important for caching as the implementations may often be invisible to anyone outside of specific teams, only work in production environments, or be written in an aspect oriented manner which makes it less obvious in the code base. All caching mechanisms must be documented. What triggers the object to store in cache? Is it a chron job? Is it triggered by an action? How does one go about clearing the cache in an emergency (there will always be an emergency)? How long does the cache live? Are there tests in place to validate that triggers in fact cleared the cache? Are there logs?
Taking this a step further, it's also important to understand the flow of data for your web services. Any given service may encounter multiple levels of caching. These operations will need be run in a way where clearing a lower level will automatically trigger higher levels to also clear. If you aren't documenting this flow, you will likely miss these issues. Also, when multiple layers of cache are used, do the time to lives roughly match up? If not, is there a good reason for that?
What I’ve found to be uncomfortable common is that many developers don’t understand how the browser cache works. My favorite being when they’re trying to recreate an issue and they have their dev-tools open. “I can’t recreate the issue.” What they fail to realize is that the dev-tools defaults to turning off browser cache as when developing new things it’s very preferable. It’s an absolute requirement for your developers to know that it exists and how it works. It is the one instance which will universally apply to all things web related.
Make sure that new developers are informed of the different locations where caching is utilized and a heads up of what some potential pitfalls for each are. Ideally this is also covered by the documentation, but there really isn’t a replacement for good ’ol person to person conversation for truly teaching.
Beware dogmatic approaches to caching. Yes, they do pretty much always increase speed and that is a good thing, but at what cost? How many development hours go to support the caching strategy? What are the measured performance gains of using the caching mechanism? How many bugs are caused by caching issues and how severe were those issues? These questions should be asked before implementing each level of cache. Further, they should be reviewed on at least an annual basis to ensure that prior decisions are still relevant.
If you aren’t measuring the performance gains provided by your caching strategy, you’re approach is 100% dogmatic. You are doing it with no real reason or validation.


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Japanese actress Erika Sawajiri arrested for suspected drug possession: NHK
TOKYO (Reuters) - Japanese actress Erika Sawajiri, famous for her role in 2005 drama “1 Litre of Tears”, has been arrested on suspicion of possessing drugs, NHK reported on Saturday citing unnamed sources.
The 33-year-old actress, who this year starred in a TV adaption of Toyoko Yamasaki’s hit novel “Shiroi Kyoto”, was arrested in Tokyo on suspicion of possessing ecstasy, although few other details are known, NHK said.
Tear-jerker “1 Litre of Tears” made Sawajiri famous not only in Japan but across Asia with the drama’s depiction of its heroine’s physical deterioration from a rare disease.
Drug arrests are treated seriously in Japan with celebrities who are caught frequently edited out of movies and TV shows.
The Tokyo police did not immediately respond to a request for comment. Sawajiri’s talent agency was not immediately reachable for comment.


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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use edu.northwestern.jcr.adapter.xtf.query | |
|---|---|
| edu.northwestern.jcr.adapter.xtf.query | Implements a Jackrabbit query handler using XTF and other query handling classes. |
| Classes in edu.northwestern.jcr.adapter.xtf.query used by edu.northwestern.jcr.adapter.xtf.query | |
|---|---|
AbstractQueryHits
AbstractQueryHits serves as a base class for QueryHits
implementations. |
|
AbstractQueryImpl
AbstractQueryImpl provides a base class for executable queries
based on SearchIndex . |
|
MultiColumnQueryHits
MultiColumnQueryHits defines an interface for reading tuples of
ScoreNode s. |
|
| NamespaceMappings
The class NamespaceMappings holds a namespace mapping that is
used internally in the search index. |
|
| QueryHits
Defines an interface for reading ScoreNode s |
|
ScoreNode
ScoreNode implements a simple container which holds a mapping
of full path to a score value. |
|
| ScoreNodeIterator
Extends the NodeIterator interface by adding a ScoreNodeIterator.getScore() method that returns the score for the node that is returned by
NodeIterator.nextNode() . |
|
| SearchIndex
Implements a Jackrabbit query handler using Fedora. |
|
XTFQuery
XTFQuery processes the query, stores the filter
conditions and temporary results on a step by step basis. |
|
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{% extends "template.html" %} {% block title %}About{% endblock %} {% block content %}
(Needs to be developed).
(Basically it will have all the things related to how the app works).


Content-type: text/html
Manpage of VOTSORT
VOTSORT
Section: User Commands (1)
Updated: Feb 2013
Index
Return to Main Contents
NAME
votsort - Extract the main positional columns from a VOTable
SYNOPSIS
votsort [-opts] votable.xml
OPTIONS
The votsort task accepts the following options:
- -h, --help
-
Print a help summary to the terminal and exit. No processing is done
following this flag.
- -c N,--col N
-
Sort by column number N (0-indexed).
- -d,--desc
-
Sort in descending order.
- -f FORMAT,--fmt FORMAT
-
Output format of sorted table. See description below for list of formats.
- -o NAME,--output NAME
-
Output name of sorted file, if not specified results are written to stdout.
- -s,--string
-
Perform a string sort of the columns.
- -t N,--top N
-
Print the top N rows of the sorted table.
- -i N,--indent N
-
XML indention level when writing a new XML document.
- -n,--noheader
-
Suppress header information for formats other than XML and FITS.
- -N NAME,--name NAME
-
Sort by column with the name=NAME attribute.
- -I ID,--id ID
-
Sort by column with the id=ID attribute.
- -U UCD,--ucd ucd
-
Sort by column with the ucd=UCD attribute.
DESCRIPTION
The votsort task is used to sort the rows of a VOTable either by
explicit column number (i.e. the -c flag), as a simple string sort
(i.e. the -s flag), or by an explicit 'name', 'id' or 'ucd' attribute
of the <FIELD> elements (the -N, -I and -U flags
respectively). If no column is specified explicitly by number or attribute,
then the first column will be used for sorting. By default, columns are
sorted in ascending order, the
-d flag can be used to force a descending sort of the column.
Output is written to the stdout unless the -o flag is used to
name a specific output file. By default, a new VOTable will be written,
the -f flag can be used to specify a new format. Allowed formats
include:
vot
A new VOTable
asv
ASCII-separated (i.e. whitespace) values.
bsv
Bar-separated values.
csv
Comma-separated values
tsv
Tab-separated values
html
Standalone HTML document (entire table)
shtml
Single HTML table
fits
FITS bintable
ascii
ASV alias
xml
VOTable alias
raw
VOTable alias
For formats such as CSV that normally
include column headers, the -n (or --noheader) flag may be used
to suppress this header. The FITS file produced will be an MEF containing
a bintable extension for each VOTable "<TABLE>" element. Column types and
names in this case come from the VOTable "<FIELD>" attributes.
If no input file is specified the VOTable will be read from the stdin,
results will be written to stdout unless the -o (or --output)
names an output file. The task will only process a single VOTable and may
not be used to convert multiple files in a single call.
RETURN STATUS
On exit the votsort task will return a zero indicating success, or a
one indicating an error.
EXAMPLES
- 1) Sort a VOTable based on first column
-
% votsort test.xml
% votsort http://generic.edu/test.xml
% cat test.xml | votsort -o sort_test.xml
A string sort will be done automatically if this is a string-valued column, otherwise a numeric sort is done.
- 2) Sort a VOTable based on the magnitude column
-
% votsort --name=V test.xml
- 3) Same as above, select 10 faintest stars
-
% votsort --name=V --desc --top=10 test.xml
- 4) String sort based on object name, output as CSV
-
% votsort -s -f csv test.xml
% votsort --string --fmt=csv test.xml
BUGS
No known bugs with this release.
Revision History
Feb 2013 - First public release
Author
Michael Fitzpatrick (fitz@noao.edu), Feb 2013
SEE ALSO
votget, votinfo, votcnv, votpos, votstat
Index
- NAME
-
- SYNOPSIS
-
- OPTIONS
-
- DESCRIPTION
-
- RETURN STATUS
-
- EXAMPLES
-
- BUGS
-
- Revision History
-
- Author
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 05:13:27 GMT, April 14, 2013


Wolf Parade @ Brooklyn Steel on BrooklynVegan Presale (password here)
by BrooklynVegan StaffTickets for the Wolf Parade show at Brooklyn Steel go on BrooklynVegan presale at noon. Use password WOLFPARADEBKV.
Our presale runs till Thursday (11/14) at 10 PM and if you miss out on it, tickets go on sale to the general public on Friday, November 15 at 10 AM. All tour dates are here and you can listen to Wolf Parade’s new single, “Forest Green,” below.


At the heart of many simulation programs is the generation of pseudo-random numbers, evenly distributed in a given range: sla_RANDOM does this. Pseudo-random normal deviates, or ``Gaussian residuals'', are often required to simulate noise and can be generated by means of the function sla_GRESID. Neither routine will pass super-sophisticated statistical tests, but they work adequately for most practical purposes and avoid the need to call non-standard library routines peculiar to one sort of computer.
Applications which perform a least-squares fit using a traditional normal-equations methods can accomplish the required matrix-inversion by calling either sla_SMAT (single precision) or sla_DMAT (double). A generally better way to perform such fits is to use singular value decomposition. SLALIB provides a routine to do the decomposition itself, sla_SVD, and two routines to use the results: sla_SVDSOL generates the solution, and sla_SVDCOV produces the covariance matrix. A simple demonstration of the use of the SLALIB SVD routines is given below. It generates 500 simulated data points and fits them to a model which has 4 unknown coefficients. (The arrays in the example are sized to accept up to 1000 points and 20 unknowns.) The model is:
y = C1 +C2x +C3sinx +C4cosx
The test values for the four coefficients are ,, and .Gaussian noise, , is added to each ``observation''.IMPLICIT NONE * Sizes of arrays, physical and logical INTEGER MP,NP,NC,M,N PARAMETER (MP=1000,NP=10,NC=20,M=500,N=4) * The unknowns we are going to solve for DOUBLE PRECISION C1,C2,C3,C4 PARAMETER (C1=50D0,C2=-2D0,C3=-10D0,C4=25D0) * Arrays DOUBLE PRECISION A(MP,NP),W(NP),V(NP,NP), : WORK(NP),B(MP),X(NP),CVM(NC,NC) DOUBLE PRECISION VAL,BF1,BF2,BF3,BF4,SD2,D,VAR REAL sla_GRESID INTEGER I,J * Fill the design matrix DO I=1,M * Dummy independent variable VAL=DBLE(I)/10D0 * The basis functions BF1=1D0 BF2=VAL BF3=SIN(VAL) BF4=COS(VAL) * The observed value, including deliberate Gaussian noise B(I)=C1*BF1+C2*BF2+C3*BF3+C4*BF4+DBLE(sla_GRESID(5.0)) * Fill one row of the design matrix A(I,1)=BF1 A(I,2)=BF2 A(I,3)=BF3 A(I,4)=BF4 END DO * Factorize the design matrix, solve and generate covariance matrix CALL sla_SVD(M,N,MP,NP,A,W,V,WORK,J) CALL sla_SVDSOL(M,N,MP,NP,B,A,W,V,WORK,X) CALL sla_SVDCOV(N,NP,NC,W,V,WORK,CVM) * Compute the variance SD2=0D0 DO I=1,M VAL=DBLE(I)/10D0 BF1=1D0 BF2=VAL BF3=SIN(VAL) BF4=COS(VAL) D=B(I)-(X(1)*BF1+X(2)*BF2+X(3)*BF3+X(4)*BF4) SD2=SD2+D*D END DO VAR=SD2/DBLE(M) * Report the RMS and the solution WRITE (*,'(1X,''RMS ='',F5.2/)') SQRT(VAR) DO I=1,N WRITE (*,'(1X,''C'',I1,'' ='',F7.3,'' +/-'',F6.3)') : I,X(I),SQRT(VAR*CVM(I,I)) END DO END
The program produces the following output:
RMS = 4.88 C1 = 50.192 +/- 0.439 C2 = -2.002 +/- 0.015 C3 = -9.771 +/- 0.310 C4 = 25.275 +/- 0.310
In this above example, essentially identical results would be obtained if the more commonplace normal-equations method had been used, and the large array would have been avoided. However, the SVD method comes into its own when the opportunity is taken to edit the W-matrix (the so-called ``singular values'') in order to control possible ill-conditioning. The procedure involves replacing with zeroes any W-elements smaller than a nominated value, for example 0.001 times the largest W-element. Small W-elements indicate ill-conditioning, which in the case of the normal-equations method would produce spurious large coefficient values and possible arithmetic overflows. Using SVD, the effect on the solution of setting suspiciously small W-elements to zero is to restrain the offending coefficients from moving very far. The fact that action was taken can be reported to show the program user that something is amiss. Furthermore, if element W(J) was set to zero, the row numbers of the two biggest elements in the Jth column of the V-matrix identify the pair of solution coefficients that are dependent.
A more detailed description of SVD and its use in least-squares problems would be out of place here, and the reader is urged to refer to the relevant sections of the book Numerical Recipes (Press et al., Cambridge University Press, 1987).
The routines sla_COMBN and sla_PERMUT are useful for problems which involve combinations (different subsets) and permutations (different orders). Both return the next in a sequence of results, cycling through all the possible results as the routine is called repeatedly.
SLALIB --- Positional Astronomy Library


Validation
django-unicorn
uses Django forms
infrastructure for all validation. This means that a form could be re-used between any other Django views and a django-unicorn
.
Using the Django forms
system provides a way to serialize/deserialize certain classes (for example, datetime
and uuid
) and a way to validate properties of a class.
There are many built-in fields available for Django form fields which can be used to validate text inputs.
# book.py
from django_unicorn.components import UnicornView
from .forms import BookForm
class BookView(UnicornView):
form_class = BookForm
title = ""
publish_date = ""
# forms.py
from django import forms
class BookForm(forms.Form):
title = forms.CharField(max_length=100, required=True)
publish_date = forms.DateField(required=True)

<input unicorn:model="title" type="text" id="title">

<input unicorn:model="publish_date" type="text" id="publish-date">

<button unicorn:click="validate">Validate</button>

Because of the form_class = BookForm
defined on the UnicornView
above, django-unicorn
will automatically validate that the title has a value and is less than 100 characters. The publish_date
will also be converted into a datetime
from the string representation in the text input.
Showing validation errors
As the form is filled out the appropriate inputs will be validated.
Highlighting the invalid form
When a model form is invalid, a special unicorn:error
attribute is added to the element. Depending on whether it is an invalid
or required
error code, the attribute will be unicorn:error:invalid
or unicorn:error:required
. The value of the attribute will be the validation message.

<input unicorn:model="publish_date" type="text" id="publish-date" unicorn:error:invalid="Enter a valid date/time.">

Showing a specific error message
{% verbatim %}

<input unicorn:model="publish_date" type="text" id="publish-date">

{{ unicorn.errors.publish_date.0.message }}

{% endverbatim %}
Showing all the error messages
There is a unicorn_errors
template tag that shows all errors for the component. It should provide an example of how to display component errors in a more specific way if needed.

{% load unicorn %}

{% unicorn_errors %}
<input unicorn:model="publish_date" type="text" id="publish-date">

{% endverbatim %}
Validate the entire component
The magic action method validate
can be used to validate the whole component by the front-end.

<input unicorn:model="publish_date" type="text" id="publish-date">

<button unicorn:click="validate">Validate</button>

The validate
can also be used inside of the component.

from django_unicorn.components import UnicornView
from .forms import BookForm
class BookView(UnicornView):
form_class = BookForm
text = "hello"
number = ""
def set_text(self):
self.text = "world"
self.validate()


Beware the barrenness of a busy life.
-- Socrates
And never have I felt so deeply at one and the same time so detached from myself and so present in the world.
-- Albert Camus
Each night, when I go to sleep, I die. And the next morning, when I wake up, I am reborn.
-- Mahatma Gandhi
Courage is grace under pressure.
-- Ernest Hemingway
Life is available only in the present moment. If you abandon the present moment you cannot live the moments of your daily life deeply.
-- Thich Nhat Hanh
When it comes to emotion, it's the case that whatever goes down must come up.
-- Andy Puddicombe


Instructions:Warning: Before compiling for the first time install the MXP files in _source/Classes folder into your flash. After installation restart flash. Otherwise you will get tween errors when compiling. |
|
| As well as the instructions below the code is well commented, so check out the actions layers as you go. | |
Change MusicEmail FormImage GalleryVideo Gallery |
|
Change Music1. Save your mp3 music file in the folder labeled "tracks".
|
|
Email FormEmail php form
|
|
Image Gallery1. The photo slide show currently has 8 galleries. You can add as many
galleries as you want, or delete galleries you don't need.
|
|
Video Gallery1. First save your flv movies inside the "flv" folder. |
|


{% extends 'base.html' %}
{% load valuation %}
{% block content %}
{% for post in posts %}
{{ post }}
{% render_valuate form of post for like-dislike %}
{% get_valuate score of post for like-dislike as avg_score %}
Average Score: {{ avg_score }}
{% get_valuate ajax_fields of post for like-dislike as fields %}{{ fields }}
{% get_valuate choice_count of post for_choice like for like-dislike %}
{% render_valuate status of post for like-dislike %}
{% render_valuate form of post %}
{% get_valuate score of post as avg_score %}
Average Score: {{ avg_score }}
{% get_valuate ajax_fields of post as fields %}{{ fields }}
{% get_valuate choice_count of post for_choice medium %}
{% render_valuate status of post %}
{% endfor %}
{% endblock %}


Update To Do
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To Do Description
Submit
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S.C.
2014, c. 20, s. 376
Administrative Tribunals Support Service of Canada Act (S.C. 2014, c. 20, s. 376)
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inspiration
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Stewarton fraudster conned hotels with fake musician bookings to pocket thousands
Allardice, 47, had advertised the musicians for hire for New Year’s Eve and the early hours of New Year’s morning and made bookings at multiple four-star venues – all to the tune of £6620.
by Tara FitzpatrickA Stewarton man has been found guilty of conning hotels across Scotland by making fake bookings for New Year’s Eve entertainment.
John Allardice denied being embroiled in the fraudulent scheme, which involved advertising musicians for hire between January 2014 and December 2015.
But Sheriff Thomas Ward found Allardice, of Bowes Rigg in Stewarton, guilty of the charge.
Allardice, 47, had advertised the musicians for hire for New Year’s Eve and the early hours of New Year’s morning and made bookings at multiple four-star venues – all to the tune of £6620.
Bookings were made with the Stonefield Castle Hotel in Tarbert, Argyll & Bute; The Auchrannie Hotel in Arran; Eight Acres Hotel in Elgin, Moray; and Tinto House Hotel in Symington, South Lanarkshire.
Yet Allardice had no ability to carry out these bookings and fulfilled none of them.
He was convicted of obtaining the funds through fraud and will be sentenced later this month.


Improve this Doc
Slides make it easy to create galleries, tutorials, and page-based layouts. Slides take a number of configuration options on the `` component.
_For more information, Check out the [Slides API docs](../api/components/slides/Slides) and the [Slide API docs](../api/components/slides/Slide)._
Basic Usage
Demo
Demo Source
```html
Slide 1
Slide 2
Slide 3
```


Give us a call or send us an email and we will get back to you as soon as possible!
20365270
anis.el.aroui@gmail.com


pkeyutl(1)
pkeyutl - public key algorithm utility
openssl pkeyutl
[-in file] [-out file] [-sigfile file] [-inkey file] [-keyform PEM|DER] [-passin arg] [-peerkey file] [-peerform PEM|DER] [-pubin] [-certin] [-rev] [-sign] [-verify] [-verifyrecover] [-encrypt] [-decrypt] [-derive] [-pkeyopt opt:value] [-hexdump] [-asn1parse] [-engine id]
The pkeyutl command can be used to perform public key operations using any supported
algorithm.
- -in filename
-
This specifies the input filename to read data from or standard input if
this option is not specified.
- -out filename
-
specifies the output filename to write to or standard output by default.
- -inkey file
-
the input key file, by default it should be a private key.
- -keyform PEM|DER
-
the key format PEM, DER or ENGINE.
- -passin arg
-
the input key password source. For more information about the format of arg
see the PASS PHRASE ARGUMENTS section in openssl(1).
- -peerkey file
-
the peer key file, used by key derivation (agreement) operations.
- -peerform PEM|DER
-
the peer key format PEM, DER or ENGINE.
- -engine id
-
specifying an engine (by its unique id string) will cause pkeyutl
to attempt to obtain a functional reference to the specified engine, thus
initialising it if needed. The engine will then be set as the default for
all available algorithms.
- -pubin
-
the input file is a public key.
- -certin
-
the input is a certificate containing a public key.
- -rev
-
reverse the order of the input buffer. This is useful for some libraries
(such as CryptoAPI) which represent the buffer in little endian format.
- -sign
-
sign the input data and output the signed result. This requires a private
key.
- -verify
-
verify the input data against the signature file and indicate if the
verification succeeded or failed.
- -verifyrecover
-
verify the input data and output the recovered data.
- -encrypt
-
encrypt the input data using a public key.
- -decrypt
-
decrypt the input data using a private key.
- -derive
-
derive a shared secret using the peer key.
- -hexdump
-
hex dump the output data.
- -asn1parse
-
asn1parse the output data, this is useful when combined with the
-verifyrecover option when an ASN1 structure is signed.
The operations and options supported vary according to the key algorithm
and its implementation. The OpenSSL operations and options are indicated
below.
Unless otherwise mentioned all algorithms support the digest:alg option which specifies the digest in use for sign, verify and verifyrecover
operations. The value alg should represent a digest name as used in the
EVP_get_digestbyname() function for example sha1.
The RSA algorithm supports encrypt, decrypt, sign, verify and verifyrecover
operations in general. Some padding modes only support some of these
operations however.
- -rsa_padding_mode:mode
-
This sets the RSA padding mode. Acceptable values for mode are pkcs1 for PKCS#1 padding, sslv23 for SSLv23 padding, none for no padding, oaep
for OAEP mode, x931 for X9.31 mode and pss for PSS.
In PKCS#1 padding if the message digest is not set then the supplied data
is signed or verified directly instead of using a DigestInfo structure. If a digest is set then the a DigestInfo structure is used and its the length must correspond to the digest type.
For oaep mode only encryption and decryption is supported.
For x931 if the digest type is set it is used to format the block data otherwise the
first byte is used to specify the X9.31 digest ID. Sign, verify and
verifyrecover are can be performed in this mode.
For pss mode only sign and verify are supported and the digest type must be
specified.
- rsa_pss_saltlen:len
-
For pss mode only this option specifies the salt length. Two special values are
supported: -1 sets the salt length to the digest length. When signing -2
sets the salt length to the maximum permissible value. When verifying -2
causes the salt length to be automatically determined based on the PSS block structure.
The DSA algorithm supports signing and verification operations only.
Currently there are no additional options other than digest. Only the SHA1 digest can be used and this digest is assumed by default.
The DH algorithm only supports the derivation operation and no additional
options.
The EC algorithm supports sign, verify and derive operations. The sign and
verify operations use ECDSA and derive uses ECDH. Currently there are no
additional options other than digest. Only the SHA1 digest can be used and this digest is assumed by default.
Sign some data using a private key:
openssl pkeyutl -sign -in file -inkey key.pem -out sig
Recover the signed data (e.g. if an RSA key is used):
openssl pkeyutl -verifyrecover -in sig -inkey key.pem
Verify the signature (e.g. a DSA key):
openssl pkeyutl -verify -in file -sigfile sig -inkey key.pem
Sign data using a message digest value (this is currently only valid for
RSA):
openssl pkeyutl -sign -in file -inkey key.pem -out sig -pkeyopt digest:sha256
Derive a shared secret value:
openssl pkeyutl -derive -inkey key.pem -peerkey pubkey.pem -out secret
genpkey(1), pkey(1), rsautl(1)
dgst(1), rsa(1), genrsa(1)
|


--- title: Contact heading: There are a number of ways to reach out to CoEpi. description: Here's where you'll find us on multiple channels. ---
You can find all of our work open source on Github. Our CoEpi organization holds multiple repositories, including the content of this website. PRs are welcome!
Our Contributing guide applies to all of these repositories, and also has information with how you can get added to the CoEpi slack channel if you are interested in being an active contributor.
Feel free to reach out on Twitter - our DMs are open! Dana and Scott both tweet frequently about #CoEpi, and you can also follow the @CoEpiApp handle for news and latest release information.