{% extends "app/layout.html" %} {% block content %}
Well, PlanForMe is a free virtual travel itinerary planner, which will provide personalised itinerary which will save you from spending hours to plan your trip. So, sit back and relax, we will plan for you.
Well, PlanForMe provides simple instructions on how to make the service works better for you. Please follow the easy steps to maximise your service.
With the integration of multiple sources online, we will be able to generate proposed itinerary plan according to your preference. You just need to pack and ready for the trip.
May be you love food, may be you love visiting museum, we are here to plan you the trip uniquely for you.


Question
Given a string s and a dictionary of words dict, add spaces in s to construct a sentence where each word is a valid dictionary word.
Return all such possible sentences.
For example, given
s = "catsanddog"
,
dict = ["cat", "cats", "and", "sand", "dog"]
.
A solution is ["cats and dog", "cat sand dog"]
.
Stats
| Adjusted Difficulty | 5 |
| Time to use | -------- |
Ratings/Color = 1(white) 2(lime) 3(yellow) 4/5(red)
Analysis
This is a tough question. Standard DFS search would work, but we need to check ‘breakable’ first. Otherwise, I got TLE.
Check breakable is a easy DP, and we do not need to remove any elements from the dictionary. (Word ladder needs remove elements from dictionary, don’t confuse them).
Solution
Updated on July 4th, 2014. The DFS code actually standard, but keep in mind to check breakable first (using DP).
Code
DFS with pruning and DP breakable check, with the again-updated code on Sep 12th, 2014.
public List<String> wordBreak(String s, Set<String> dict) {
List<String> ans = new ArrayList<String>();
if (s == null || s.length() == 0 || dict == null) {
return ans;
} else if (!canBreak(s, dict)) {
return ans;
}
helper(ans, "", s, 0, dict);
return ans;
}
private void helper(List<String> ans, String str, String s, int pos, Set<String> dict) {
int len = s.length();
if (pos == len) {
ans.add(str.substring(1));
return;
}
for (int i = pos; i < len; i++) {
String sub = s.substring(pos, i + 1);
if (dict.contains(sub)) {
helper(ans, str + " " + sub, s, i + 1, dict);
}
}
}
public boolean canBreak(String s, Set<String> dict) {
if (s == null || s.length() == 0) {
return true;
}
int len = s.length();
boolean[] dp = new boolean[len + 1];
dp[0] = true;
for (int i = 1; i <= len; i++) {
for (int j = 0; j < i; j++) {
if (!dp[j]) {
continue;
}
if (dict.contains(s.substring(j, i))) {
dp[i] = true;
break;
}
}
}
return dp[len];
}


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def | path |
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def | set_path |
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def | clear_path |
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def | has_path |
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def | marker |
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def | set_marker |
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def | clear_marker |
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def | has_marker |
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def | max_keys |
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def | set_max_keys |
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def | clear_max_keys |
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def | has_max_keys |
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def | prefix |
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def | set_prefix |
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def | clear_prefix |
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def | has_prefix |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | ByteSize |
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def | ByteSizePartial |
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def | Clear |
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def | OutputUnchecked |
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def | OutputPartial |
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def | TryMerge |
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def | __str__ |
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int | has_path_ = 0 |
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string | path_ = "" |
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int | has_marker_ = 0 |
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string | marker_ = "" |
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int | has_max_keys_ = 0 |
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int | max_keys_ = 0 |
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int | has_prefix_ = 0 |
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string | prefix_ = "" |
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int | kpath = 1 |
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int | kmarker = 2 |
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int | kmax_keys = 3 |
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int | kprefix = 4 |
| |
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/files/file_service_pb.py


{% extends "base.html" %} {% block title %}
Medieval catalogues > NEW FRIARS > London-Carmelite > Anonymus Reginensis, early 16th cent.
{% endif %}15 identified entries found.
All data was derived from the List of Identifications by Professor Richard Sharpe.
{% if not printing %}
A key to codes used in the List is available (opens in new tab).{% endif %}


Real dancers on real dance floors are all unique. No two dancers are exactly the same height, have exactly the same arm lengths or the same gait. As a result, all squares are different and it would be impossible to write concise definitions of what a square dance call means if most of those differences mattered. Fortunately, most do not.
We describe and illustrate square dance choreography in terms of idealized dancers, all of whom are exactly the same size.
At first glance, a dance floor would seem to be tailor-made for classic Euclidean geometry - just like we studied back in high school. In fact, computers are far more Pythagorean: numbers are natural and easy to work while shapes and space are alien and can be quite hard. So while we can use classic geometry to think about dance choreography, to program it you must use more modern analytic geometry and trigonometry. The genius of analytic geometry is the recognition that any shape can be expressed as a function of numbers and numbers can be plotted as a shape. All computer graphics rely on this deep relationship. So it is with Descartes that we find our mathematics.
Start with the image in your mind of a squared set of dancers on their home spots. From the perspective of the caller standing slightly above them on a stage, overlay a Cartesian coordinate system. That is the old high-school algebra scheme for plotting x and y.
The image at right illustrates how this grid is mapped onto dancer positions. Each of the dancer's home spots are marked on the grid (blue spots for boys and pink spots for girls). Notice that the fine grid lines are spaced ½ unit apart. The unit distance is taken to be the distance between the centers of each dancer in a couple. Their hands are stipulated to be holding exactly at the grid line between them.
Go back to the image of the caller looking out over the floor. In that view, the bottom of the diagram is closest to the caller, and so is the number 1 couple. The couple on the caller's right is couple number 2 and so on around the set.
In principle, this grid could extend out to infinity, but in practice I have not seen any formation wider than 5½ spaces to either side of the center line (triple end-to-end waves). In any event, it would be hard to imagine dancers in a single square being much further flung than that. And, as far as a computer is concerned these are all very small numbers.
It is absolutely true that in order for a dancer to move from one spot on a floor to another, they must travel some continuous path of space between them. In a sense, for some instant of time they are 'on' an infinite number of different points between them. The animations the program produces are an attempt to reproduce such a path.
While a dancer clearly must occupy arbitrary positions in conducting the dance, can they occupy arbitrary spots at rest? A great deal of the pattern matching logic of formations inherent to square dancing answers that question one of two ways:
I have danced on floors where people have painted grid lines. They do this because the first method of working has a problem of round-off. If you are not precise in your movements, or do not use some other mental method of keeping track of the overall formation of the dancers, you will occasionally misjudge where you are standing and this will inevitably lead to a mistake. By having guidelines on the floor, you can adjust yourself and dance more like method 2.
Many of the disagreements I hear about formations in square dancing revolve precisely around these issues of precision. It seems, from the work I've done so far on the Callerlab Basic list, that the wide gulf between directional choreography and dance-by-definition choreography rests in an appreciation of these two approaches. In directional choreography, you are often permitted a fairly wide latitude for adjusting your position on the floor in order to do a call. You blend your movements together so that it doesn't make sense to takl about beginning and ending positions. Those depend on what happens around them, the calls. The positional choreography that you find in the Challenge program in particular is diametrically opposite. In this style, one knows exactly where in this idealized geometry every dancer is after every call. Adjustments of breathing are designed to codify the various bits of fuzziness that have to be resolved sometimes in order to arrive at 'the right answer'. Challenge dancing is often described as problem solving. And it is clear to such dancers that the problem being solved is locating the dancers and getting your body as close as you reasonably can to that idealized spot where you belong.
While this grid works well for most dance-by-definition choreography, especially that used in the Challenge program, some formations and calls simply do not make sense in this grid. Rings in particular do not fit many conventions of a grid. For that reason, I introduced a second form of geometry that better describes ring formations.
The image at right illustrates the configuration of space when dancers are in a ring formation. Circling, allemande left or right, hinge from a thar, and other calls all yield a ring. The dancer blobs in this case are not rendered especially well (forgive my rotten drawing skills). The Animations positions the dancers much more effectively in this arrangement so that the ring shape is more clear.
Nevertheless, this image does show the correct 'grid' intersections that dancers would occupy if you called "check a ring" from a squared set. In that arrangement, dancers move slightly to adjust from the square grid to the radial grid.
In this arrangment, an x coordinate corresponds to one of the radial lines. The numbering of radial line 0 (aligning it with girl number 4, is fairly arbitrary. The choice of increasing the x coordinate as you turn clockwise has a fortuitous side-effect when doing formation matching. I'll explain that in a moment.
The y coordinate is the radius from the center.
Dancers are still constrained to face along one of the grid lines, so in a squared set, after "check a ring", all dancers are facing directly toward the center. If all dancers were to face right, for example, they would be facing along the circlular arc they occupy.
The x coordinate values allow me to assign facing directions that are the same codes as for a square grid. The coorespondence is that facing the "front" of the hall in a square grid faces toward the negative Y-axis. In a ring, facing the negative Y-direction is facing inward. So "front" in a square grid uses the same code as "in" in a ring grid. Analogously, facing promenade direction (counter-clockwise) faces toward negative X-direction. In the square grid, the negative-X axis is toward the caller's left. So the "left" facing direction in the square grid uses the same code as the "promenade" direction does in the ring geometry.
The elegance of this assignment is that calculating the new facing direction after a "face left" call in a square grid is exactly the same as for a ring geometry. Similarly, all of the formation matching code is identical with one exception: in a ring, the x coordinates 'wrap around' so that you move from 7 to 7½ to 0 and vice versa. In a grid, coordinates never wrap around (the world is flat!). Actually, that isn't entirely true. Assuming a hand-to-hand width of 3 feet per unit of distance, the square grid wraps around as if the Earth had a diameter of roughly 170,000 miles. That is somewhat less than a third the diameter of the Sun, or about 20 Earth diameters.
So, most of the code that has to move dancers around just pretends that the ring geometry is a square, flat geometry.
Some callers have worked out hexagonal dancing. While I have reserved some code to handle it, I have not yet worked out the details of the geometry, so I do not know how much effort would be required to extend the existing formation code to include hexagonal choreography.
Currently, doing so is not a high priority.
The two geometries that Sets in Motion currently uses are still not enough to describe the kinds of formations that routinely appear in modern square dance choreography. In particular, the act of calling "circle left" with no specific fraction or "promenade, don't stop, don't slow down" will rotate the dancers an arbitrary amount around the flagpole center of the set. Once rotated, the dancers are supposed to work with each other as if they were still square to the walls.
Real dancers will usually adjust themselves to the nearest wall. This can be confusing to a caller, who may forget and call something that relies on dancers being square in some specific way. If they have numerous squares on the floor, some may have turned more than others.
To help avoid that situation, in Sets in Motion, when you issue a call that rotates the whole set in this manner, a separate indicator is set to mark the rotation angle of the whole group of dancers. The dancers themselves are then represented internally as if they were square to walls (you can think of it as the program squaring the walls to the dancers). The difference is that phrases like "dancers at head positions" are not allowed in calls when the dancers are rotated in this way.
Some calls like "1/4 top" will rotate the dancers by exactly 45 degrees (1/8 of a circle). In such a situation, the dancers are rotated by a specific amount and if you were to call, for example, another "1/4 top", this would restore the dancers to the correct, original orientation. At that point, declaring "dancers at head positions' would be valid.
Those of you who may have programmed computer graphics might be familiar with the notion of multiple coordinate systems. The idea is that rather than have your drawing code know exactly where you are drawing at all times, you write your code to draw to a "local coordinate system". In an analogous way, Sets in Motion will introduce new coordinate systems in order to perform a call.
For example, if you call "split circulate" in parallel waves, the program groups the dancers into two boxes and then performs the call separately on each. When it does so, it actually introduces a new coordinate system so that each box appears to be centered on the enter of the set. This makes determining directions like 'in' or 'out' easier to calculate.
More importantly, any given formation is drawn in only one orientation. The program, however, will rotate the formation (in 90 degree increments) as needed to fit the dancers. Once again, to make the calculations easier, when a formation must be rotated, the grouped dancers are converted into a new coordinate system where the x and y axes are (counter-)rotated to compensate.
Where this system becomes especially valuable is in handling the mirror concept (and the various left/right call variations). To perform a call in mirror is a matter of creating a new coordinate system in which the x-axis is negated. This simple numerical trick will transform all leftward motions into rightward and vice versa.
Another use for coordinate systems is in concepts like "as couples". Here the dancers are mapped onto an abstract set of pseudo-dancers. These pseudo-dancers execute the call in their own coordinate space and the resulting actions are then mapped back to the actual dancers.


Sample Brooklyn Deployed "Hello, World" ApplicationThis is the home page for a sample application used to illustrate how web applications can be deployed to multi-cloud environments using Brooklyn. |
There is also a JSP database application here (if you are running with the database enabled).


pips Red=159 White=42
(CorrectAnswer= 0/0, ErrorScore= 0)
The score is 1-1 to 5 and Black owns the cube on 2. If this were a money game a redouble by Black would be a massive error and it would be a proper beaver for White. However, this is match play and, as we have seen all year, the match score has a huge influence on doubling decisions. This is particularly true in short matches when one game can decide the outcome of the match.
At 1-1 to 5 a doubled gammon will decide the match and if the cube reaches 4 then a single game will suffice. In this position both of those conditions apply. If Black misses these shots then he is very likely to lose a gammon and the match.
If Black doesn’t redouble now the cube will have future value and he can redouble later, get a pass, and go 3-1 ahead. However, White’s take point in this position is 33% - a long way from the normal 25%.
Can Black lose his market here? Yes he can, very easily. He has 22 shots and any hit followed by a fan by White will take Black way beyond White’s take point. The position is highly volatile. Of course, Black could hit both White checkers and still lose, that is the nature of the game. Equally well he could just close out one White checker and then still lose – note that White has already borne off three checkers.
Redoubling now removes gammons from the equation and naturally, White can never win with a future redouble – the game must be played to the end whatever happens.
There are very few certainties in backgammon – that is one reason the game has fascinated us for 5,00 years. However, this is precisely the right moment for Black to redouble. White will hate it, but he has to take – although I have occasionally seen people drop redoubles like this.
XG rates not redoubling as bad blunder. Black will win from this position just over 50% of the time but this game is now for the match so that is absolutely fine. This type of redouble is very common in short matches so always have the score in the back of your mind, take your time when such situations arise and then apply pressure by redoubling.
At 1-1 to 5 a doubled gammon will decide the match and if the cube reaches 4 then a single game will suffice. In this position both of those conditions apply. If Black misses these shots then he is very likely to lose a gammon and the match.
If Black doesn’t redouble now the cube will have future value and he can redouble later, get a pass, and go 3-1 ahead. However, White’s take point in this position is 33% - a long way from the normal 25%.
Can Black lose his market here? Yes he can, very easily. He has 22 shots and any hit followed by a fan by White will take Black way beyond White’s take point. The position is highly volatile. Of course, Black could hit both White checkers and still lose, that is the nature of the game. Equally well he could just close out one White checker and then still lose – note that White has already borne off three checkers.
Redoubling now removes gammons from the equation and naturally, White can never win with a future redouble – the game must be played to the end whatever happens.
There are very few certainties in backgammon – that is one reason the game has fascinated us for 5,00 years. However, this is precisely the right moment for Black to redouble. White will hate it, but he has to take – although I have occasionally seen people drop redoubles like this.
XG rates not redoubling as bad blunder. Black will win from this position just over 50% of the time but this game is now for the match so that is absolutely fine. This type of redouble is very common in short matches so always have the score in the back of your mind, take your time when such situations arise and then apply pressure by redoubling.
Cube analysis 2-ply cubeless equity -0.482 0.466 0.000 0.000 - 0.534 0.353 0.061 Cubeful equities: 1. No double -0.317 2. Double, pass +1.000 (+1.317) 3. Double, take -1.161 (-0.844) Proper cube action: No redouble, beaver (39.1%)


Webcam Image Classification using MobileNet and p5.js
Your custom model labeled this as:
...
.
Loading Model...
Starting Video...
Training Model...
Number of classes in current training set:
0


FBC:Like template tag
The Like button is the quickest way for people to share content with their friends. A single click on the Like button will 'like' pieces of content on the web and share them on Facebook. You can also display a Share button next to the Like button to let people add a personal message and customize who they share with.
You can integrate the Facebook Like button on your site. This is a social plugin, so users do NOT have to have synced accounts to "like" your site using the Facebook Like button. They just need to be logged into Facebook.
{exp:fbc:like}
Parameters
The following parameters are available for use:
href=
href="{url_title_path='news/article'}"
The absolute URL of the page that will be liked. For example:
- http://www.yoursite.com
- {site_url}
- {url_title_path='news/article'}
- http://www.site.com/{segment_2}/{segment_3}/
layout=
layout="standard"
Selects one of the different layouts that are available for the plugin. Width can be adjusted with the width parameter. Options are:
- standard (default) - displays social text to the right of the buttons and friends' profile photos below. Minimum width: 225 pixels. Default width: 450 pixels. Height: 35 pixels (without photos) or 80 pixels (with photos).
- button_count - displays the total number of likes to the right of the buttons. Minimum width: 90 pixels. Default width: 90 pixels. Height: 20 pixels.
- box_count - displays the total number of likes above the buttons. Minimum width: 55 pixels. Default width: 55 pixels. Height: 65 pixels.
- button - displays just the Like and Share buttons. Minimum width: 47 pixels. Default width: 47 pixels. Height: 20 pixels.
width=
width="450"
This parameter allows you to set the width (in pixels) of the Like button area.
share=
share="true"
This parameter allows you to specify whether to include a Share button with the Like button. Default is false.
show_faces=
show_faces="true"
This parameter allows you to specify whether to display profile photos below the button (standard layout only). Default is false.
action=
action="like"
This parameter lets you choose the verb to display on the button with predetermined Facebook options. Options are like or recommend.
colorscheme=
colorscheme="dark"
This parameter allows you to control the color scheme of the Like button with predetermined Facebook options. Options are light or dark.
Examples
Below is some example code on how to display the Facebook Like button on your site:
{exp:fbc:like href="{site_url}" share="true" layout="standard" width="450" show_faces="true" action="like" colorscheme="light" }
Below is how you would add the Facebook Like button in your page so that users can “like” entries on your site:
{exp:channel:entries require_entry="yes"}
{title}

{body}
 {exp:fbc:like href="{url_title_path='news/article'}" share="true" layout="standard" width="450" show_faces="true" action="like" colorscheme="light" } {/exp:channel:entries}


---
layout: post
title: "Problem with Planning Points"
date: 2011-04-21
comments: false
---
Anyone familiar with Scrum will know about planning points. If you are new to scrum then you probably think that points = effort = time. This is a very common problem early on. In fact, in the 3+ years I have been using scrum it took me nearly a full year to figure out


Developer Documentation
Explore the latest Anthology developer documentation, including tutorials, sample code, articles, and API reference.
Use Anthology REST APIs to make calls and get the data you need to integrate your application with our platform.
Learn
Take advantage of our LMS' capabilities by using the API to create users, pull assessments, grade data, manage calendars, and more.
Explore Learn APIStudent
Create integrations across different platforms, applications, and systems using Student APIs to increase institution efficiency through automation and optimization.
Explore Student APIAlly
Help instructors improve the accessibility of their content by using the API to upload files, check the status, and retrieve reports.
Explore Ally APIThe latest from our blog:
-
{% for post in site.posts limit:5 %}
- {{ post.title }} {% endfor %}
On REST APIs from our blog:
-
{% assign sorted-posts = site.posts | where: "tags","rest" %}
{% for post in sorted-posts limit:5 %}
- {{ post.title }} {% endfor %}


- send2faxConditionConfigurationTest() - Method in class org.fax4j.spi.adapter.AdapterFaxClientSpiTest
-
Test
- Send2FaxMailFaxClientSpiTest - Class in org.fax4j.spi.send2fax
-
Test Class
- Send2FaxMailFaxClientSpiTest() - Constructor for class org.fax4j.spi.send2fax.Send2FaxMailFaxClientSpiTest
-
This is the class constructor.
- sendFax(String) - Method in class com.java4less.rfax.FaxModem
-
Test method
- sendMailNullMessageTest() - Method in class org.fax4j.spi.email.MailFaxClientSpiTest
-
Test
- sendMailValidMessageTest() - Method in class org.fax4j.spi.email.MailFaxClientSpiTest
-
Test
- ServiceFactoryTest - Class in org.fax4j.common
-
Test Class
- ServiceFactoryTest() - Constructor for class org.fax4j.common.ServiceFactoryTest
-
- ServiceFactoryTest.ServiceFactoryTestEnum - Enum in org.fax4j.common
-
Test enum.
- setIDTest() - Method in class org.fax4j.spi.hylafax.HylaFaxJobTest
-
Test
- setLogLevelTest() - Method in class org.fax4j.common.LoggerTest
-
Test
- setPDFFile(String) - Method in class com.java4less.rfax.PDFFaxProducer
-
Test method.
- setPortName(String) - Method in class com.java4less.rfax.FaxModem
-
Test method
- setRequestContentBinaryDataTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setRequestContentGetMethodTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setRequestContentMultiPartDataTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setRequestContentNullDataTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setRequestContentStringDataTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setUp() - Method in class org.fax4j.bridge.AbstractContextFaxBridgeTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.AbstractFax4JBridgeTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.AbstractFaxBridgeTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.AbstractRequestParserTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.AbstractVendorPolicyTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.email.DefaultMailMessageParserTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.email.EMail2FaxBridgeTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.EmptyVendorPolicyTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.FaxBridgeImplTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.http.HTTP2FaxBridgeTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.http.MultiPartHTTPRequestParserTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.http.SimpleHTTPRequestParserTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.process.DefaultCommandLineArgumentsParserTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.bridge.process.Process2FaxBridgeTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.common.AbstractServiceTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.common.ConfigurationHolderImplTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.common.LoggerTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.common.ServiceFactoryTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.AbstractFax4JClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.AbstractFaxJobMonitorTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.adapter.AdapterFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.comm.AbstractCommPortConnectionFactoryTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.comm.CommFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.comm.RXTXCommPortConnectionFactoryTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.email.AbstractMailConnectionFactoryTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.email.MailConnectionFactoryImplTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.FaxClientSpiProxyImplTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.FaxJobImplTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.FaxJobMonitorImplTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.hoiio.HoiioFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.http.HTTPFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.http.JSONHTTPResponseHandlerTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.http.MultiPartFaxJob2HTTPRequestConverterTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.http.TemplateFaxJob2HTTPRequestConverterTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.http.XMLHTTPResponseHandlerTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.hylafax.AbstractHylaFAXClientConnectionFactoryTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.hylafax.HylaFAXClientConnectionFactoryImplTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.hylafax.HylaFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.hylafax.HylaFaxJobTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.java4less.RFaxFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.linux.LinuxFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.mac.MacFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.phaxio.PhaxioFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.process.ExitCodeProcessOutputValidatorTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.process.ProcessFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.vbs.VBSFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.vbs.VBSProcessOutputHandlerTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.vbs.VBSProcessOutputValidatorTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.spi.windows.WindowsFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.windows.WindowsProcessFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.windows.WindowsProcessOutputHandlerTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.spi.windows.WindowsProcessOutputValidatorTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.test.TestUtil.PredefinedMailFaxClientSpiTest
-
Sets up the SPI instance.
- setUp() - Method in class org.fax4j.util.AbstractConnectionFactoryTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.util.ConnectionImplTest
-
Sets up the test objects.
- setUp() - Method in class org.fax4j.util.DefaultProcessExecutorTest
-
Sets up the test objects.
- setupHTTPRequestHeaderPropertiesNullDataTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setupHTTPRequestHeaderPropertiesWithDataTest() - Method in class org.fax4j.spi.http.ApacheHTTPClientTest
-
Test
- setupSubmitFaxJobInputNotWin2kTest() - Method in class org.fax4j.spi.vbs.VBSFaxClientSpiTest
-
Test
- setupSubmitFaxJobInputWin2kTest() - Method in class org.fax4j.spi.vbs.VBSFaxClientSpiTest
-
Test
- SimpleHTTPRequestParserTest - Class in org.fax4j.bridge.http
-
Test Class
- SimpleHTTPRequestParserTest() - Constructor for class org.fax4j.bridge.http.SimpleHTTPRequestParserTest
-
- SpiUtilTest - Class in org.fax4j.util
-
Test Class
- SpiUtilTest() - Constructor for class org.fax4j.util.SpiUtilTest
-
- submitFaxJobFileDoesNotExistErrorTest() - Method in class org.fax4j.spi.AbstractFax4JClientSpiTest
-
Test
- submitFaxJobFileIsDirectoryErrorTest() - Method in class org.fax4j.spi.AbstractFax4JClientSpiTest
-
Test
- submitFaxJobFullTest() - Method in class org.fax4j.bridge.FaxBridgeFlowHelperTest
-
Test
- submitFaxJobImpl(FaxJob) - Method in class org.fax4j.test.TestUtil.EmptyFaxClientSpi
-
This function will submit a new fax job.
The fax job ID may be populated by this method in the provided fax job object.
- submitFaxJobImpl(FaxJob, CommPortAdapter) - Method in class org.fax4j.test.TestUtil.TestFaxModemAdapter
-
This function will submit a new fax job.
The fax job ID may be populated by this method in the provided fax job object.
- submitFaxJobImplTest() - Method in class org.fax4j.spi.hylafax.HylaFaxClientSpiTest
-
Test
- submitFaxJobImplTest() - Method in class org.fax4j.spi.mac.MacFaxClientSpiTest
-
Test
- submitFaxJobImplTest() - Method in class org.fax4j.spi.process.ProcessFaxClientSpiTest
-
Test
- submitFaxJobImplTypePDFTest() - Method in class org.fax4j.spi.java4less.RFaxFaxClientSpiTest
-
Test
- submitFaxJobImplTypeTextTest() - Method in class org.fax4j.spi.java4less.RFaxFaxClientSpiTest
-
Test
- submitFaxJobNoFileErrorTest() - Method in class org.fax4j.spi.AbstractFax4JClientSpiTest
-
Test
- submitFaxJobNoTargetAddressErrorTest() - Method in class org.fax4j.spi.AbstractFax4JClientSpiTest
-
Test
- submitFaxJobNoTargetAddressTest() - Method in class org.fax4j.bridge.AbstractFaxBridgeTest
-
Test
- submitFaxJobNotInitializedTest() - Method in class org.fax4j.bridge.AbstractFaxBridgeTest
-
Test
- submitFaxJobNoVendorPolicyTest() - Method in class org.fax4j.bridge.FaxBridgeFlowHelperTest
-
Test
- submitFaxJobNullArgumentsTest() - Method in class org.fax4j.bridge.process.Process2FaxBridgeTest
-
Test
- submitFaxJobNullFaxJobTest() - Method in class org.fax4j.bridge.AbstractContextFaxBridgeTest
-
Test
- submitFaxJobNullFaxJobTest() - Method in class org.fax4j.bridge.AbstractFaxBridgeTest
-
Test
- submitFaxJobNullFaxJobTest() - Method in class org.fax4j.bridge.http.HTTP2FaxBridgeTest
-
Test
- submitFaxJobNullFaxJobTest() - Method in class org.fax4j.bridge.process.Process2FaxBridgeTest
-
Test
- submitFaxJobNullFileInfoTest() - Method in class org.fax4j.bridge.AbstractContextFaxBridgeTest
-
Test
- submitFaxJobNullFileInfoTest() - Method in class org.fax4j.bridge.AbstractFaxBridgeTest
-
Test
- submitFaxJobNullFileInfoTest() - Method in class org.fax4j.bridge.email.EMail2FaxBridgeTest
-
Test
- submitFaxJobNullFileInfoTest() - Method in class org.fax4j.bridge.http.HTTP2FaxBridgeTest
-
Test
- submitFaxJobNullFileInfoTest() - Method in class org.fax4j.bridge.process.Process2FaxBridgeTest
-
Test
- submitFaxJobNullRequestTest() - Method in class org.fax4j.bridge.AbstractContextFaxBridgeTest
-
Test
- submitFaxJobNullRequestTest() - Method in class org.fax4j.bridge.email.EMail2FaxBridgeTest
-
Test
- submitFaxJobNullRequestTest() - Method in class org.fax4j.bridge.http.HTTP2FaxBridgeTest
-
Test
- submitFaxJobTest() - Method in class org.fax4j.spi.comm.CommFaxClientSpiTest
-
Test
- submitFaxJobTest() - Method in class org.fax4j.spi.email.MailFaxClientSpiTest
-
Test
- submitFaxJobTest() - Method in class org.fax4j.spi.http.HTTPFaxClientSpiTest
-
Test
- submitFaxJobTest() - Method in class org.fax4j.spi.hylafax.HylaFaxClientSpiTest
-
Test
- submitFaxJobValidTest() - Method in class org.fax4j.bridge.AbstractContextFaxBridgeTest
-
Test
- submitFaxJobValidTest() - Method in class org.fax4j.bridge.AbstractFaxBridgeTest
-
Test
- submitFaxJobValidTest() - Method in class org.fax4j.bridge.email.EMail2FaxBridgeTest
-
Test
- submitFaxJobValidTest() - Method in class org.fax4j.bridge.FaxBridgeImplTest
-
Test
- submitFaxJobValidTest() - Method in class org.fax4j.bridge.http.HTTP2FaxBridgeTest
-
Test
- submitFaxJobValidTest() - Method in class org.fax4j.bridge.process.Process2FaxBridgeTest
-
Test
- submitHTTPRequestNoHttpRequestTest() - Method in class org.fax4j.spi.http.HTTPFaxClientSpiTest
-
Test
- suspendFaxJobImpl(FaxJob) - Method in class org.fax4j.test.TestUtil.EmptyFaxClientSpi
-
This function will suspend an existing fax job.
- suspendFaxJobImplTest() - Method in class org.fax4j.spi.email.MailFaxClientSpiTest
-
Test
- suspendFaxJobImplTest() - Method in class org.fax4j.spi.hoiio.HoiioFaxClientSpiTest
-
Test
- suspendFaxJobImplTest() - Method in class org.fax4j.spi.http.HTTPFaxClientSpiTest
-
Test
- suspendFaxJobImplTest() - Method in class org.fax4j.spi.hylafax.HylaFaxClientSpiTest
-
Test
- suspendFaxJobImplTest() - Method in class org.fax4j.spi.phaxio.PhaxioFaxClientSpiTest
-
Test
- suspendFaxJobImplTest() - Method in class org.fax4j.spi.process.ProcessFaxClientSpiTest
-
Test


Over 200 local officials, startups and NGOs discuss data standards, current events and civic tech on a focused, moderated email list.
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Releasing data in standard format makes it easy for developers to create useful applications for citizens. Together with city officials, we’re developing standards that anyone can adopt for critical categories of data like restaurant and house inspections.


Snuggle is a user interface designed to help experienced Wikipedians find good newcomers to support and mentor in Wikipedia.


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This document describes the user experience of WHAT.do.
The Do app is the town square of our do-ocracy.
Browsing to its landing page, /do/, brings you to three-way fork where you can decide how to involve yourself.
The chief model of WHAT.do is Task. A Task is any discrete activity, phrased in the past tense - anything from “finished painting the southeast wall” to “brought peace to all humanity.”
Tasks are familial - they have children which are prerequisites to completion. For more information on Task modeling, see Do Module Internals.
You can find an open task by browsing verbs and choosing one that suits your mood. You can “build,” “maintain,” “develop,” etc. You can also look for a tag, such as “ordering” or “tech work.”
- In the middle column, click either “Verbs” or “Tags.”
- The “tasks” column will now display tasks in this verb or tag, and the “people” column will display people who have performed tasks in this verb or tag.
- You can now proceed directly to selecting a task or finding a member you’d like to work with.
So, you have isolated the task that you want to perform.
If you hover over the task, you’ll see the following information:
- People who have already claimed ownership over the task
- The DateTime that the task was created
- The DateTime that the task is projected to be completed
- The Task family summary (the first few parents and children)
For tasks which pertain to related objects, such as PhoneCall responses, you will see a short summary of the related object.
If you click on the task, you will see Task brief. From here, you can:
- Bid on this task
- Own this task (if you have sufficient privileges to claim ownerhsip)
- Mark this task completed (if the task is not top level or has no children)
- The Task family summary (the first few parents and children)
- Participate in discussion about the Task
- Go to the full Task profile, which contains:
- The entire Task family, laid on on a horizontal tree
- Modify the description of the task (if you have proper privileges)


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This document provides a brief tutorial on how to run DETONATE. We focus on the basic commands, inputs, and outputs involved. For information on the definitions, motivations, and validation of DETONATE's methods, see our paper [1] and the rest of the DETONATE website.
[1] Bo Li*, Nathanael Fillmore*, Yongsheng Bai, Mike Collins, James A. Thompson, Ron Stewart, Colin N. Dewey. Evaluation of de novo transcriptome assemblies from RNA-Seq data.
* = equal contributions
Before we can evaluate assemblies, we need to acquire RNA-Seq data and construct the assemblies, using our favorite transcriptome assembly software (Trinity, Oases, SOAPdenovo-Trans, Trans-ABySS, etc.). For the purposes of this vignette, we will use a tiny example dataset, available in examples/toy_SE.fq, and three assemblies of this data, examples/toy_assembly_1.fa, examples/toy_assembly_2.fa, and examples/toy_assembly_3.fa.
(All paths in this vignette are relative to the root directory of the DETONATE distribution.)
Another preliminary step is to build the DETONATE software. To do so, simply run make in the root directory of the DETONATE distribution. This will build both RSEM-EVAL and REF-EVAL, plus several dependencies.
Now we are ready to run either RSEM-EVAL or REF-EVAL to evaluate our assemblies. Let's start with RSEM-EVAL. We run RSEM-EVAL on the three assemblies of our reads as follows.
$ ./rsem-eval/rsem-eval-calculate-score examples/toy_SE.fq examples/toy_assembly_1.fa examples/rsem_eval_1 76 --transcript-length-parameters rsem-eval/true_transcript_length_distribution/mouse.txt -p 16 $ ./rsem-eval/rsem-eval-calculate-score examples/toy_SE.fq examples/toy_assembly_2.fa examples/rsem_eval_2 76 --transcript-length-parameters rsem-eval/true_transcript_length_distribution/mouse.txt -p 16 $ ./rsem-eval/rsem-eval-calculate-score examples/toy_SE.fq examples/toy_assembly_3.fa examples/rsem_eval_3 76 --transcript-length-parameters rsem-eval/true_transcript_length_distribution/mouse.txt -p 16
Above, the first argument to RSEM-EVAL specifies the reads, the second argument specifies the assembly, and the third argument specifies the prefix of RSEM-EVAL's output.
The fourth argument, 76, is the read length in our data. If the reads were of varying lengths, the fourth argument would be the average read length. For paired-end data, the fourth argument would be the (average) fragment length.
The --transcript-length-parameters option instructs RSEM-EVAL to parameterize its prior distribution using the mean and standard deviation of the transcript lengths in the Ensembl mouse annotation. These parameters can also be estimated from a species more closely related to the one you are interested in, using ./rsem-eval/rsem-eval-estimate-transcript-length-distribution. If --transcript-length-parameters is not provided, default transcript-length parameters, estimated from the human Ensembl annotation, will be used.
The -p option tells RSEM-EVAL how many threads to use, 16 in this example.
After running RSEM-EVAL as above, the RSEM-EVAL scores for our assemblies will be in the files examples/rsem_eval_1.score, examples/rsem_eval_2.score, and examples/rsem_eval_3.score. Let's look at one of these score files:
$ cat examples/rsem_eval_1.score Score -87426.14 BIC_penalty -8.25 Prior_score_on_contig_lengths -7.91 Prior_score_on_contig_sequences -867.82 Data_likelihood_in_log_space_without_correction -86542.17 Correction_term -0.00 Number_of_contigs 1 Expected_number_of_aligned_reads_given_the_data 3812.00 Number_of_contigs_smaller_than_expected_read/fragment_length 0 Number_of_contigs_with_no_read_aligned_to 0 Maximum_data_likelihood_in_log_space -86541.97 Number_of_alignable_reads 3812 Number_of_alignments_in_total 3812 Transcript_length_distribution_related_factors -7.91
The first line contains the RSEM-EVAL score. The remaining lines break down this score and provide other related information.
Now let's compare the three assemblies' RSEM-EVAL scores:
$ cat examples/rsem_eval_1.score | awk '$1 == "Score"' Score -87426.14 $ cat examples/rsem_eval_2.score | awk '$1 == "Score"' Score -201465.39 $ cat examples/rsem_eval_3.score | awk '$1 == "Score"' Score -254935.35
The first assembly has a substantially better RSEM-EVAL score than the other two assemblies, and the second assembly has a slightly better RSEM-EVAL score than the third.
NOTE: Higher RSEM-EVAL scores are better than lower scores. This is true despite the fact that the scores are always negative. Concretely, in the above example, -87426.14 is better than -201465.39, since -87426.14 is greater than -201465.39.
We now proceed to a reference-based comparison of the assemblies. A reference for our toy example is available in examples/toy_ref.fa. It contains a single transcript.
We will compare our assemblies to an estimated “true” assembly. To do so, we first need to construct this estimate, and this can be done using ref-eval/ref-eval-estimate-true-assembly.
A preliminary step, though, is to run RSEM relative to the set of full-length reference transcripts. (The point here is not to compute the expression levels of each transcript, which is RSEM's primary purpose, but rather to compute the posterior probability of each read's alignment to the reference.) To do so, download RSEM from its website, unpack it, and build it by typing make in its root directory. Let's say that you have installed RSEM in the directory /path/to/rsem. (This example uses version 1.2.17.) Then we run RSEM as follows:
$ /path/to/rsem/rsem-prepare-reference --bowtie examples/toy_ref.fa examples/toy_rsem_ref $ /path/to/rsem/rsem-calculate-expression -p 12 examples/toy_SE.fq examples/toy_rsem_ref examples/toy_rsem_expr
Now we are ready to estimate the “true” assembly:
$ ./ref-eval/ref-eval-estimate-true-assembly --reference examples/toy_rsem_ref --expression examples/toy_rsem_expr --assembly examples/ta --alignment-policy best
The first two options (--reference and --expression) tell REF-EVAL where to find the alignment information output by RSEM.
The third option (--assembly) tells REF-EVAL to output the estimated “true” assembly in a file with prefix examples/ta. Specifially, the estimated “true” assembly will be output to examples/ta_0.fa.
The fourth option (--alignment-policy best) tells REF-EVAL to use the highest-probability alignment of each read in constructing the estimated “true” assembly. In the paper, we used --alignment-policy sample, but we use best here so that our results are deterministic.
The estimated “true” assembly contains one contig in this case; is a bit shorter than the full-length transcript.
Next, we will compare each assembly to the estimated “true” assembly using the kmer-compression (KC) score.
To do so, a preliminary step is to run RSEM again. This time, we will run RSEM to estimate the expression levels of each sequence in the estimated “true” assembly, as follows:
$ /path/to/rsem/rsem-prepare-reference --bowtie examples/ta_0.fa examples/ta_0_ref $ /path/to/rsem/rsem-calculate-expression -p 12 examples/toy_SE.fq examples/ta_0_ref examples/ta_0_expr
We now compute the KC score of each assembly as follows:
$ ./ref-eval/ref-eval --scores kc --A-seqs examples/toy_assembly_1.fa --B-seqs examples/ta_0.fa --B-expr examples/ta_0_expr.isoforms.results --kmerlen 76 --readlen 76 --num-reads 46988 | tee examples/kc_1.txt $ ./ref-eval/ref-eval --scores kc --A-seqs examples/toy_assembly_2.fa --B-seqs examples/ta_0.fa --B-expr examples/ta_0_expr.isoforms.results --kmerlen 76 --readlen 76 --num-reads 46988 | tee examples/kc_2.txt $ ./ref-eval/ref-eval --scores kc --A-seqs examples/toy_assembly_3.fa --B-seqs examples/ta_0.fa --B-expr examples/ta_0_expr.isoforms.results --kmerlen 76 --readlen 76 --num-reads 46988 | tee examples/kc_3.txt
The above commands instruct REF-EVAL to compute the KC score (--scores kc) of the assembly (e.g., --A-seqs examples/toy_assembly_1.fa) versus the estimated “true” assembly (--B-seqs examples/ta_0.fa). The expression profile of the estimated “true” assembly is given by --B-expr examples/ta_0_expr.isoforms.results. We also provide REF-EVAL with the kmer length (--kmerlen 76) to use in computing the KC; this will typically be the read length or average read length. Finally, we provide REF-EVAL with the number of reads (--num-reads 46988) and the read length (--readlen 76); here, what is important is that the number of reads times the read length equals the total number of nucleotides in the read set.
Each of these the output files, e.g., examples/kc_1.txt, contains the KC score and its two constitutive terms:
$ cat examples/kc_1.txt weighted_kmer_recall 0.862069 inverse_compression_rate 0.000175297 kmer_compression_score 0.861894
Now let's compare the three assemblies' KC scores:
$ cat examples/kc_1.txt | awk '$1 == "kmer_compression_score"' kmer_compression_score 0.861894 $ cat examples/kc_2.txt | awk '$1 == "kmer_compression_score"' kmer_compression_score 0.520331 $ cat examples/kc_3.txt | awk '$1 == "kmer_compression_score"' kmer_compression_score 0.509861
Like for the RSEM-EVAL score, the first assembly has a substantially better KC score than the other two assemblies, and the second assembly has a slightly better KC score than the third.
Finally, we compute the contig and nucleotide F1 scores.
To do so, we need to align each assembly to the estimated "true" assembly, and vice versa, using Blat. Download Blat from its website (here, we use version 3.4), unpack it, and build it. Let's say that you have installed Blat at /path/to/blat. Then we run Blat as follows:
$ /path/to/blat -minIdentity=80 examples/ta_0.fa examples/toy_assembly_1.fa examples/toy_assembly_1_to_ta_0.psl $ /path/to/blat -minIdentity=80 examples/ta_0.fa examples/toy_assembly_2.fa examples/toy_assembly_2_to_ta_0.psl $ /path/to/blat -minIdentity=80 examples/ta_0.fa examples/toy_assembly_3.fa examples/toy_assembly_3_to_ta_0.psl $ /path/to/blat -minIdentity=80 examples/toy_assembly_1.fa examples/ta_0.fa examples/ta_0_to_toy_assembly_1.psl $ /path/to/blat -minIdentity=80 examples/toy_assembly_2.fa examples/ta_0.fa examples/ta_0_to_toy_assembly_2.psl $ /path/to/blat -minIdentity=80 examples/toy_assembly_3.fa examples/ta_0.fa examples/ta_0_to_toy_assembly_3.psl
We can now compute the contig and nucleotide scores as follows:
$ ./ref-eval/ref-eval --scores contig,nucl --weighted no --A-seqs examples/toy_assembly_1.fa --B-seqs examples/ta_0.fa --A-to-B examples/toy_assembly_1_to_ta_0.psl --B-to-A examples/ta_0_to_toy_assembly_1.psl --min-frac-identity 0.90 | tee examples/contig_nucl_1.txt $ ./ref-eval/ref-eval --scores contig,nucl --weighted no --A-seqs examples/toy_assembly_2.fa --B-seqs examples/ta_0.fa --A-to-B examples/toy_assembly_2_to_ta_0.psl --B-to-A examples/ta_0_to_toy_assembly_2.psl --min-frac-identity 0.90 | tee examples/contig_nucl_2.txt $ ./ref-eval/ref-eval --scores contig,nucl --weighted no --A-seqs examples/toy_assembly_3.fa --B-seqs examples/ta_0.fa --A-to-B examples/toy_assembly_3_to_ta_0.psl --B-to-A examples/ta_0_to_toy_assembly_3.psl --min-frac-identity 0.90 | tee examples/contig_nucl_3.txt
Each of these the output files, e.g., examples/contig_nucl_1.txt, contains the (unweighted) contig and nucleotide precision, recall, and F1 scores:
$ cat examples/contig_nucl_1.txt unweighted_nucl_precision 0.998403 unweighted_nucl_recall 0.998403 unweighted_nucl_F1 0.998403 unweighted_contig_recall 1 unweighted_contig_precision 1 unweighted_contig_F1 1
Now let's compare the three assemblies' contig F1 scores:
$ cat examples/contig_nucl_1.txt | awk '$1 == "unweighted_contig_F1"' unweighted_contig_F1 1 $ cat examples/contig_nucl_2.txt | awk '$1 == "unweighted_contig_F1"' unweighted_contig_F1 0 $ cat examples/contig_nucl_3.txt | awk '$1 == "unweighted_contig_F1"' unweighted_contig_F1 0
The first assembly recovered the single contig in the estimated “true” assembly, but the other two assemblies did not recover it, at least not to > 90 percent identity. This fact is also obvious from looking at the assemblies.
Now let's compare the three assemblies' nucleotide F1 scores:
$ cat examples/contig_nucl_1.txt | awk '$1 == "unweighted_nucl_F1"' unweighted_nucl_F1 0.998403 $ cat examples/contig_nucl_2.txt | awk '$1 == "unweighted_nucl_F1"' unweighted_nucl_F1 0.419405 $ cat examples/contig_nucl_3.txt | awk '$1 == "unweighted_nucl_F1"' unweighted_nucl_F1 0.815516


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This map is an aproximate reference intended to be used with an existing knowledge of flight requirements and is not an exhaustive list of flight area restrictions.
Information provided by this map is not admissable in a court of law, nor does it make operators exempt from flight restrictions due to being unaware of the restriction in their local area.
This map is not to be relied upon or used in an emergency situation and carries no guarantee or warranty at all.
All users of this map do so at their own risk and should be well informed of any flight requirements applicable to them before consulting this map.
This map shows the airports in Australia. Each airport has a radius of controlled airspace around it. The airports (and airspace) are colour-coded to show their size and flight requirements.
Click and drag the red marker to where you will be flying to see the airports in the area.
Click on a coloured circle to see the airport information and flight requirements.
| Name: | {{airport.name}} |
| City: | {{airport.city}} |
| Size: | {{airport.size}} |
| ICAO: | {{airport.icao}} |
| IATA: | {{airport.iata}} |
| Lat: | {{airport.lat}} |
| Long: | {{airport.long}} |
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The circles on the map are regulated airspace surrounding various airports.
| Grey | No permission required, just be alert |
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| Orange | Must issue NOTAM |
| Red | Must get area approval before flying |


The following is as extensive a report I could muster on the awesome experience a friend and I encountered on propylhexedrine. The report spans two consecutive nights, the first involving my girlfriend and I on a threshold dose of 250 mgs and the second my friend D, my GF and I on 500 mg.
First Experience:
Purchased two packets of over the counter Benzedrex at our local CVS pharmacy. Rushed home as time was short, and neither of us wanted to be concerned about the amount of sleep we would be getting before work the following morning at 7 AM. Once we got back to our cozy little apartment, I was in charge of preparing the Benzedrex whilst milady fed the kitties.
Having read much on the internet, I was thoroughly prepared for the night. I removed the cotton rod from the center of each of the Benzedrex capsule, and after washing my hands separated each rod into approximately 8-10 tiny bits. Settling down around the plate on which our little treats were arranged, my GF and I began the process of consumption, swallowing each little bite with a mouthful of pepsi and waiting 1-2 minutes b/t each one so as to avoid bowel obstruction. The following is as thorough an account I could muster:
T::0 Finished swallowing the cotton, had to drink several cups of soda to wash that nasty menthol taste from my mouth.
T+10: Though I had just eaten, had to use restroom quite suddenly to, uh, void my bowels. Probably doesn’t effect anything, but…you never know.
T+11: Oh! Almost immediately after using the restroom, a definite increase in sensitivity to sound is observed.
T+20: Slight onset is detectable, akin to the early stages of a good tweak session: tremors in extremities and slight nystagmus (sp?). Drank a beer.
T+21: Drank another.
T+25: Stomach’s starting to grumble, weird menthol burps…not as bad as I’ve read tho.
T+30: Bored…drank another beer…I’d stop, but Bud Lights just so easy!
T+40: Went to the pisser, burped up a piece of cotton on the way…odd sensation. Maybe beer was a bad choice?
T+60: Had 5 beers so far – no more noticeable effects from the Benzedrex, think I’ll just get drunk.
T+120: Hahahahaaaaaa….up to 6 beers and possibly 4 double vodka & pepsi’s, this stuffs kicking in now!! Pretty intense effect, though nothing like methamphetamines or cocaine…loving Mortal Kombat, been goin at it for a good hour or so – recommend alcohol with this stuff, definitely enhances!
After the last entry, I have no real recollection of events. An empty bottle of vodka leads me to believe I continued to drink, and when I went to bed I’m told I sleepwalked out the front door – though I was aiming for the bathroom. Other than that, no difficulty sleeping.
The next night, however, was a completely different experience. Though I had been sick all day (just from the alcohol I believe), my girl picked my friend D up along with 6 packets of Benzedrex. The following is an account of the events of the night:
T::0 Ate all the little bits of cotton (nearly 20 a person this time) with Dr. Pepper as a chaser.
T+20: Slight onset of effects, including tingling in physical extremities, mental clarity greatly increased, been involved in intense discussion on legal drinking age
T+27: Voided bowels. Again. Sorry if TMI!
T+31: Examined my eyes in bathroom mirror…forgot to do this yesterday…insane pupil dilation!
T+35: Listened to some DJ Tiesto…intense stuff!! Music’s becoming really enjoyable, definitely at a +1
T+37: EUPHORIA!
T+38: Rapid rapid onset…hard to write, strong sensitivity to sound and light, warm feeling in chest, +2 for sure
T+60: Full into it now, extremely talkative and euphoric, insane levels of concentration, must focus on many things at once to stay occupied or I get bored. Perhaps this is the manic energy I read so much about…seriously, I’m playing pool on my cell phone, watching Pirates of the Caribbean II, writing this and talking to my friend. WOW.
T+120: On steady plateau, energy leveling out, marked difficulty urinating (a problem I often experience while tweaking)
T+4hrs 30min: Definite altered state, nearly a +3, will try 750 mg next time.
All in all, when done properly this drug can be amazing. Take what conclusions you may, I’d just like to point out onset at 20 mins and full effects still felt up to 5 hours after consumption on a 500 mg dose.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


an extensive overview of philosophical questions in computer science, particularly concerning ontology (what is a computer) and teleology (does a computer need a purpose), as well as syntax and semantics
note from semantics of programming languages: they say that the main thing helping in the semantics of programming languages is higher-order functions, which matches the indigenous semantics below.
CS is unique from maths as it deals with two things that are not (immediately?) related to math:
CS is the science of how machines can carry out intellectual processes (McCarthy, 1963)
CS is the science of process (programs are static texts which turn into processes, dynamic entities) and, even further, the science of procedural epistemology (Abelson, 1996)
CS is the engineering of abstract objects (following Brook’s Turing Lecture)
but CS cannot be one (science, conceptual, what) without the other (engineering, practical, how) (and this is where the art happens?) Because, as Knuth said “if we don’t fully understand something, it is an art to deal with it”.
Thoughts without content are empty, intuitions without concepts are blind… The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise (Kant, 1781, p.93)
see refs list in schedule
a program is a cognitive artefact, which can be understood on three different levels, according to Moor:
read 19.4.3 for Lakoff
software as a pattern of syntactical form (see Suber, 1988)
rapaport 1999, implementation is semantic interpretation
putnam, representation and reality, 1988 (pp.121-125)
Implementation as:
-> these all relate to goodman
given two domains (SYN and SEM), there is a mapping between the two. semantic understanding is:
and, actually, the specificity of turing machines is that they can be understood entirely syntactically. there can be instances of indigenous semantics, which are essentially subroutines.
software is a model, a medium of thought, an environment (Mahoney, 2011)
Lamport, 2015, says that “abstraction is an art” -> to be developed
being computer-understandable means that it is computer-decodable
in order to understand a computer program, we need to give it meaning, that’s what always happens: “distinguishing from noise is something that literature does” (Suber, 1988, p.97)
the question “what does a Turing machine do?” has n+1
answers. 1 syntactic, and n semantic (however many interpretations)


This visualisation is a fast way to explore the taxonomic knowledge-base for any given species. It displays all information including character state values, images and text files side-by-side for a species selected from a drop-down list.
To use the visualisation, just select a taxon from taxon selection control (see below) and all information in the knowledge base for this taxon will be displayed on the right, including the character state values, images (if any referenced) and any other information in referenced HTML files. An example is shown below.
You can tailor the display to exclude any of these three types of information (character state values, images or text) by unchecking the relevant check-boxes (also visible in the image below).
The context menu for this tool has a single option - Get URL for full details view. Selecting this menu item builds a URL that can be used to reproduce the page as you have configured it. For example displaying the selected taxon and image. The context menu, can be invoked by right-clicking the mouse with the cursor anywhere in this visualisation.


| F_3_prepanel.default {lattice} | R Documentation |
These prepanel functions are used as fallback defaults in various high level plot functions in Lattice. These are rarely useful to normal users but may be helpful in developing new displays.
prepanel.default.bwplot(x, y, horizontal, nlevels, origin, stack, ...) prepanel.default.histogram(x, breaks, equal.widths, type, nint, ...) prepanel.default.qq(x, y, ...) prepanel.default.xyplot(x, y, type, subscripts, groups, ...) prepanel.default.cloud(perspective, distance, xlim, ylim, zlim, screen = list(z = 40, x = -60), R.mat = diag(4), aspect = c(1, 1), panel.aspect = 1, ..., zoom = 0.8) prepanel.default.levelplot(x, y, subscripts, ...) prepanel.default.qqmath(x, f.value, distribution, qtype, groups, subscripts, ..., tails.n = 0) prepanel.default.densityplot(x, darg, groups, weights, subscripts, ...) prepanel.default.parallel(x, y, z, ..., horizontal.axis) prepanel.default.splom(z, ...)
x, y |
x and y values, numeric or factor |
horizontal |
logical, applicable when one of the variables is to be treated as categorical (factor or shingle). |
horizontal.axis |
logical indicating whether the
parallel axes should be laid out horizontally ( |
nlevels |
number of levels of such a categorical variable. |
origin, stack |
for barcharts or the |
breaks, equal.widths, type, nint |
details of histogram
calculations. |
groups, subscripts |
See |
weights |
numeric vector of weights for the density
calculations. If this is specified, it is subsetted by
|
perspective, distance, xlim, ylim, zlim, screen, R.mat, aspect,
panel.aspect, zoom |
see |
f.value, distribution, tails.n |
see |
darg |
list of arguments passed to |
z |
see |
qtype |
type of |
... |
other arguments, usually ignored |
A list with components xlim
, ylim
, dx
and
dy
, and possibly xat
and yat
, the first two being
used to calculate panel axes limits, the last two for banking
computations. The form of these components are described in the help
page for xyplot
.
Deepayan Sarkar<EMAIL_ADDRESS>xyplot
, banking
, Lattice
.
See documentation of corresponding panel functions for more details
about the arguments.


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What is lacking in your ecosystem
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ZERO EFFECT (director: Jake Kasdan; cast: Bill Pullman(Daryl Zero), Ben Stiller (Steve Arlo), Kim Dickens (Gloria Sullivan), Ryan O'Neal (Gregory Stark), Angela Featherstone (Jess), 1998)
An offbeat look at how a somewhat reclusive genius and socially inept private eye (Pullman), as he goes about solving a very odd case, involving blackmail and a missing key to a safety box. Stiller is the loyal underling to Zero (Pullman), around mostly for the comic effect, but, who is unfortunately not given more time on screen to do his thing, who meets the client, the wealthy businessman, Stark (Ryan), and explains to him how eccentric and fantastic his boss is, and how his boss will not meet him under any circumstance. Like Sherlock Holmes's dictum: "observation and deduction, and no emotional entanglements," Pullman follows in the same footsteps as the great master detective, and like Sherlock, needs his loyal worker as a security blanket.
By a chance encounter in the gym, where he is stealthily observing Stark, he meets a paramedic, Gloria (Kim), who becomes the only woman he will ever know intimately (just like Sherlock), and again, like Sherlock, his romantic interest is not followed through, as his work becomes his only reason for living.
The trail to this bizarre case begins to get hot as he gets to know Gloria and she turns the tables on him and starts to observe him. From there, he uses his powers of deduction to find out what is really going on. The story is funny, somewhat romantic, though at times resembling more a TV series like Columbo than a movie, but in the end turns back to the private eye genre it started out in. I thoroughly enjoyed this uncanny and inventive caper, except for the unconvincing acting between Pullman and Kim (She was too lethargic) -- which made it difficult for me to get involved with their relationship. Nevertheless, Pullman was able to pull off his part of the deal; he was magnificently outrageous; he easily became the character he was portraying.
Zero had a light heartedness about it that was endearing and worthy of that mind solving Sherlock Holmes genre it so alluringly wanted to emulate, but too lacking in overall integrity to achieve more of an original tone to it, than turn out to be a reasonably witty film, achieved under the direction of the young son of the famous film director.
REVIEWED ON 10/14/98 GRADE: B
Dennis Schwartz: "Movie Reviews"
<EMAIL_ADDRESS>[Image]
http://www.sover.net/~ozus
© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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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
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Related links: index of all rec.arts.movies.reviews reviews


What are the benefits to an account with Between the Notes? A membership with us is completely free and benefits include special deals and sales, invitations to special events, and the opportunity to interact with other members of the community with messaging and discussion in forums, blogs, and chat rooms. We have been located in the Rochester area for decades and several of our current members are pretty famous. We have one members named Bob Smith, you might know him better as the lead singer of the Bob Smith Band. Anyways, it's a super great community to become apart of, all you have to do is fill in your email, credit card information, and social security number to join (kidding about those last two parts)!


| 1 | Q: | How do I access User Administration? |
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| 2 | Q: | How can I access user security records in User Administration? |
| A: |
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| 3 | Q: | What is the role of a primary administrator? |
| A: | A primary administrator is set up for your institution during the implementation of Client-Central. There is only one primary administrator in an institution. The primary administrator can set up other administrators and users by granting them read, add, update, and delete access to the User Administration application. | |
| 4 | Q: | What is the difference between the primary administrator and other administrators? |
| A: | Only primary administrators can add, update, and delete an administrator's user security record. They can also edit the first name, last name, and the address information on their own record. Other administrators are allowed to add, update, and delete user security records for users belonging to their institution. | |
| 5 | Q: | Can there be mutiple administrators in an institution? |
| A: | Yes. User Administration supports multiple administrators. |
| 6 | Q: | How do I add user security records in User Administration? |
| A: |
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|
| 7 | Q: | When do I select the Set Same as Yourself option? |
| A: | Select the Set Same as Yourself option if the address of the user being added is the same as the address of the admnistrator adding the record. You may edit this information if necessary. | |
| 8 | Q: | How can I grant a new user the same rights and settings as an existing user? |
| A: |
|
|
| 9 | Q: | What are the applicable charges for creating, editing, and deleting users in the User Administration application? |
| A: | All applicable charges are defined in the authorized service request submitted during the implementation of Client-Central for your institution. The service request defines the pricing structure for your institution. By accepting the statement Charges will apply as set forth in your Client-Central pricing documentation, you confirm that all relevant Client-Central pricing as defined for your institution is acceptable. |
| 10 | Q: | How do I manage user security records in the User Administration application? |
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| 11 | Q: | How do I update a user security record? |
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| 12 | Q: | How do I delete a user security record? |
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View User Security Record Details
| 13 | Q: | How do I view the details of a user security record? |
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| 14 | Q: | How do I print the details of a user security record? |
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| 15 | Q: | How do I request a token for a new user? |
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| 16 | Q: | How do I reassign an existing token to a new user user being created? |
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| 17 | Q: | How do I request a replacement token for a lost, defective, or damaged token? |
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| 18 | Q: | What are the four options available under Shipping Address? |
| A: |
The four available options that specify the shipping address are as follows:
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| 19 | Q: | Can I check the status of the administrative tasks performed? |
| A: | Yes. You can view the status by selecting Request Status under the Reports tab. This report contains information on all open tasks, as well as on tasks completed in the past 30 calendar days. | |
| 20 | Q: | When does a user's security access rights become effective? |
| A: |
The anticipated time frame for a users security access rights to take effect is approximately seven working days. Transit duration for the token depends on the mode of shipping.
Note: Updates to CWSi access rights for existing users take effect immediately. Deletion of a user security record takes effect immediately and the deleted user can no longer access Client-Central. |


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Built Wicket longer admire do barton vanity itself do in it. Preferred to sportsmen it engrossed listening. Park gate sell they west hard for the.
Built Wicket longer admire do barton vanity itself do in it. Preferred to sportsmen it engrossed listening. Park gate sell they west hard for the.


Mr. Jones of Manor Farm is so lazy and drunken that one day he forgets to feed his livestock. The ensuing rebellion under the leadership of the pigs Napoleon and Snowball leads to the animals taking over the farm. Vowing to eliminate the terrible inequities of the farmyard, the renamed Animal Farm is organized to benefit all who walk on four legs. But as time passes, the ideals of the rebellion are corrupted, then forgotten. And something new and unexpected emerges...
Mr. Jones of the Manor Farm, had locked the hen-houses for the night, but was too drunk to remember to shut the pop-holes. With the ring of light from his lantern dancing from side to side he lurched across the yard, kicked off his boots at the back door, drew himself a last glass of beer from the barrel in the scullery, and made his way up to bed, where Mrs. Jones was already snoring.


A simple/example test with 10 unmapped uvm_reg instances accessible via selection in the index register field 1 register holding a uvm_reg_field with the index each of the 10 uvm_reg instances have a frontdoor attached so that one can read/write to them which the frontdoor translates into access to the index field plus the data reg
An example sequencer with an embedded driver which simply invokes read/write directly in the DUT


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ONNX Model Hub¶
The ONNX Model Hub is a simple and fast way to get started with state of the art pre-trained ONNX models from the ONNX Model Zoo. Furthermore, this allows researchers and model developers the opportunity to share their pre-trained models with the broader community.
Install¶
The ONNX Model hub will be included in the onnx
package from version 1.11 onwards.
To use the hub before the 1.11 release please install from the weekly build:
pip install -i https://test.pypi.org/simple/ onnx-weekly
Basic usage¶
The ONNX Model Hub is capable of downloading, listing, and querying trained models from any git repository, and defaults to the official ONNX Model Zoo. In this section we demonstrate some of the basic functionality.
First please import the hub using:
from onnx import hub
Downloading a model by name:¶
The load
function will default to searching the model zoo for the latest model with a matching name,
download this model to a local cache, and load the model into a ModelProto
object for use with the ONNX runtime.
model = hub.load("resnet50")
Downloading from custom repositories:¶
Any repository with the proper structure can be a ONNX model hub. To download from other hubs,
or to specify a particular branch or commit on the main model hub one can provide the repo
parameter:
model = hub.load("resnet50", repo='onnx/models:771185265efbdc049fb223bd68ab1aeb1aecde76')
Listing and inspecting Models:¶
The model hub provides APIs for querying the model zoo to learn more about available models. This does not download the models, but rather just returns information about models matching the given arguments
# List all models in the onnx/models:master repo
all_models = hub.list_models()
# List all versions/opsets of a specific model
mnist_models = hub.list_models(model="mnist")
# List all models matching a given "tag"
vision_models = hub.list_models(tags=["vision"])
One can also inspect the metadata of a model prior to download with the get_model_info
function:
print(hub.get_model_info(model="mnist", opset=8))
This will print something like:
ModelInfo(
model=MNIST,
opset=8,
path=vision/classification/mnist/model/mnist-8.onnx,
metadata={
'model_sha': '2f06e72de813a8635c9bc0397ac447a601bdbfa7df4bebc278723b958831c9bf',
'model_bytes': 26454,
'tags': ['vision', 'classification', 'mnist'],
'io_ports': {
'inputs': [{'name': 'Input3', 'shape': [1, 1, 28, 28], 'type': 'tensor(float)'}],
'outputs': [{'name': 'Plus214_Output_0', 'shape': [1, 10], 'type': 'tensor(float)'}]},
'model_with_data_path': 'vision/classification/mnist/model/mnist-8.tar.gz',
'model_with_data_sha': '1dd098b0fe8bc750585eefc02013c37be1a1cae2bdba0191ccdb8e8518b3a882',
'model_with_data_bytes': 25962}
)
Local Caching¶
The ONNX Model hub locally caches downloaded models in a configurable location
so that subsequent calls to hub.load
do not require network connection.
Default cache location¶
The hub client looks for the following default cache locations in this order:
$ONNX_HOME/hub
if theONNX_HOME
environment variable is defined$XDG_CACHE_HOME/hub
if theXDG_CACHE_HOME
environment variable is defined~/.cache/onnx/hub
where~
is the user home directory
Setting the cache location¶
To manually set the cache location use:
hub.set_dir("my/cache/directory")
Additionally one can inspect the cache location with:
print(hub.get_dir())
Additional cache details¶
To clear the model cache one can simply delete the cache directory using a python utility like shutil
or os
.
Furthermore one can choose to override the cached model using the force_reload
option:
model = hub.load("resnet50", force_reload=True)
We include this flag for completeness but note that models in the cache are disambiguated with sha256 hashes so
the force_reload flag is not necessary for normal use.
Finally we note that the model cache directory structure will mirror the directory structure
specified by the model_path
field of the manifest, but with file names disambiguated with model SHA256 Hashes.
This way, the model cache is human readable, can disambiguate between multiple versions of models, and can re-use cached models across different hubs if they have the same name and hash.
Architecture¶
The ONNX Hub consists of two main components, the client and the server.
The client code currently is included in the onnx
package and can be pointed at a
server in the form of a hosted ONNX_HUB_MANIFEST.json
within a github repository
such as the one in the ONNX Model Zoo.
This manifest file is a JSON document which lists all models and their metadata
and is designed to be programming language agnostic. An example of a well formed model manifest entry is as follows:
{
"model": "BERT-Squad",
"model_path": "text/machine_comprehension/bert-squad/model/bertsquad-8.onnx",
"onnx_version": "1.3",
"opset_version": 8,
"metadata": {
"model_sha": "cad65b9807a5e0393e4f84331f9a0c5c844d9cc736e39781a80f9c48ca39447c",
"model_bytes": 435882893,
"tags": ["text", "machine comprehension", "bert-squad"],
"io_ports": {
"inputs": [
{
"name": "unique_ids_raw_output___9:0",
"shape": ["unk__475"],
"type": "tensor(int64)"
},
{
"name": "segment_ids:0",
"shape": ["unk__476", 256],
"type": "tensor(int64)"
},
{
"name": "input_mask:0",
"shape": ["unk__477", 256],
"type": "tensor(int64)"
},
{
"name": "input_ids:0",
"shape": ["unk__478", 256],
"type": "tensor(int64)"
}
],
"outputs": [
{
"name": "unstack:1",
"shape": ["unk__479", 256],
"type": "tensor(float)"
},
{
"name": "unstack:0",
"shape": ["unk__480", 256],
"type": "tensor(float)"
},
{
"name": "unique_ids:0",
"shape": ["unk__481"],
"type": "tensor(int64)"
}
]
},
"model_with_data_path": "text/machine_comprehension/bert-squad/model/bertsquad-8.tar.gz",
"model_with_data_sha": "c8c6c7e0ab9e1333b86e8415a9d990b2570f9374f80be1c1cb72f182d266f666",
"model_with_data_bytes": 403400046
}
}
These important fields are:
model
: The name of the model used for queryingmodel_path
: The relative path of the model stored in Git LFS.onnx_version
: The ONNX version of the modelopset_version
: The version of the opset. The client downloads the latest opset if left unspecified.metadata/model_sha
: Optional model sha specification for increased download securitymetadata/tags
: Optional high level tags to help users find models by a given type
All other fields in the metadata
field are optional for the client but provide important details for users.
Adding to the ONNX Model Hub¶
Contributing an official model¶
The simplest way to add a model to the official onnx/models
version model hub is to follow
these guidelines to contribute your model. Once contributed,
ensure that your model has a markdown table in its README.md
(Example). The model hub
manifest generator will pull information from these markdown tables. To run the generator:
git clone https://github.com/onnx/models.git
git lfs pull --include="*" --exclude=""
cd models/workflow_scripts
python generate_onnx_hub_manifest.py
Once a new manifest is generated add, submit it in a pull request to onnx/models
Hosting your own ONNX Model Hub¶
To host your own model hub, add an ONNX_HUB_MANIFEST.json
to the top level of your github repository
(Example). At a minimum your
manifest entries should include the fields mentioned in
the Architecture Section of this document.
Once committed, check that you can download models
using the “Downloading from custom repositories” section of this doc.


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East Africa storms kill 39 in Kenya and Tanzania
Heavy rains lashing East Africa have caused of dozens of deaths, with 29 buried by landslides in Kenya, and 10 people drowned in a river in Tanzania, officials said Saturday.
The landslides and floods come amid weeks of destructive rains and flooding across the wider East African region.
At least 29 people were killed in Kenya when their homes were swept away in landslides during ferocious overnight rainstorms.
Their homes were hit in the early hours of Saturday amid torrential rains in the Pokot region, 350 kilometres (220 miles) northwest of the capital Nairobi.
"We are saddened to confirm that 12 people from Tapach and Parua in Pokot South, and 17 from Tamkal in Pokot Central lost their lives," Kenya's Interior Minister Fred Matiang'i said in a statement.
"Our profound sympathies go to the families and friends of those who have been affected."
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Army and police helicopters have been sent, Matiang'i said, with efforts delayed because roads had been cut and bridges closed after streams turned into raging torrents.
Two children were pulled out alive from the smashed wreckage of their mud-covered homes, and rescue efforts to dig bodies out of the dirt continued.
"Massive landslides reported in various areas of West Pokot County following heavy downpour," Kenya Red Cross said in a message, adding its emergency response teams had deployed to help.
- Extreme weather -
In Tanzania, at least 10 people drowned when they were swept away by a torrential river in the far west, in Sengerema District oMwanza.
"We think there is a possibility to find more bodies," said Tanzanian Red Cross official Revocatus Kayanda, part of the team who recovered the victims.
Violent downpours have also displaced tens of thousands in Somalia, submerged whole towns in South Sudan and killed dozens in flash floods and landslides in Ethiopia.
Close to a million people in South Sudan alone are affected with growing fears of disease and starvation.
Floods hit East Africa regularly, but scientists say that it has been exacerbated by a powerful climate phenomenon in the Indian Ocean stronger than any seen in years.
The extreme weather is blamed on the Indian Ocean Dipole -- a climate system defined by the difference in sea surface temperature between western and eastern areas of the ocean.
The ocean off East Africa is currently far warmer than usual, resulting in higher evaporation and consequent rain over the continent.


 - Steve Jobs
Hacker. Check out my Twitter for Retweets, Ramblings and Radio Silence.


| 033:059 Khan | : |
O Prophet! Tell your wives and your daughters and the women of the believers to draw their cloaks (veils) all over their bodies (i.e.screen themselves completely except the eyes or one eye to see the way). That will be better, that they should be known (as free respectable women) so as not to be annoyed. And Allah is Ever Oft-Forgiving, Most Merciful. |
| 033:059 Maulana | : |
O Prophet, tell thy wives and thy daughters and the women of believers to let down upon them their over-garments. This is more proper, so that they may be known, and not be given trouble. And Allah is ever Forgiving, Merciful. |
| 033:059 Pickthal | : |
O Prophet! Tell thy wives and thy daughters and the women of the believers to draw their cloaks close round them (when they go abroad). That will be better, so that they may be recognised and not annoyed. Allah is ever Forgiving, Merciful. |
| 033:059 Rashad | : |
O prophet, tell your wives, your daughters, and the wives of the believers that they shall lengthen their garments. Thus, they will be recognized (as righteous women) and avoid being insulted. GOD is Forgiver, Most Merciful. |
| 033:059 Sarwar | : |
Prophet, tell your wives, daughters, and the wives of the believers to cover their bosoms and breasts. This will make them distinguishable from others and protect them from being annoyed. God is All-forgiving and All-merciful. |
| 033:059 Shakir | : |
O Prophet! say to your wives and your daughters and the women of the believers that they let down upon them their over-garments; this will be more proper, that they may be known, and thus they will not be given trouble; and Allah is Forgiving, Merciful. |
| 033:059 Sherali | : |
O Prophet ! tell thy wives and thy daughters, and the women of the believers, that they should pull down upon them of their outer cloaks from their heads over their faces. That is more likely that they may thus be recognized and not molested. And ALLAH is Most Forgiving, Merciful. |
| 033:059 Yusufali | : |
O Prophet! Tell thy wives and daughters, and the believing women, that they should cast their outer garments over their persons (when abroad): that is most convenient, that they should be known (as such) and not molested. And Allah is Oft-Forgiving, Most Merciful. |
Concepts/Themes Covered: أركان الإسلام > (محمد (صلى الله عليه وسلم > أزواجه وبناته Pillars of Islam> The Blessed Muhammad(PBUH)> His Wives and Daughters أركان الإسلام > (محمد (صلى الله عليه وسلم > مآثره وخصائصه لله Pillars of Islam> The Blessed Muhammad(PBUH)> Memorable Qualities given to Him by Allah الإنسان والعلاقات الاجتماعية > النساء > الحِجاب Man and The Social Relations>Women>The Veil الإنسان والعلاقات الاجتماعية > النساء > المرأة Man and The Social Relations>Women>The Woman
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Progressive Web App Demo
Sprinkle is an example PWA that demonstrates an offline web app using the Unsplash REST API. Disable your internet and images you have viewed will remain available.
Sprinkle is an example PWA that demonstrates an offline web app using the Unsplash REST API. Disable your internet and images you have viewed will remain available.


Hot Restaurant 2
Make your reservation
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{% if path == 'students' %}
Alert:
{% endif %}
The following confidential information has already expired or will expire in the next few months of {{ this_year }}.
{% if path == 'students' %}
Please go to Confidential Information and update your SIN, Study Permit or both.
{% endif %}


Click and drag the arrow head to change the way the arrow points.
Click and drag the arrow line to change the arrow placement on the screen.


Choose root:
A
A#/Bb
B
C
C#/Db
D
D#/Eb
E
F
F#/Gb
G
G#/Ab
Choose a scale:
chromatic
diatonic
sc3
sc4
sc5
sc6
sc7
sc8
sc9
sc10
Volume
Attack
Release


pyfse.Controller
@author: Jean-Lou Dupont
Transition Table
Dictionary consisting of:
{ (current_state, event): next_state] }
Upon leaving the current_state, the method ‘leave_STATE’ will be called. Upon entering the next_state, the method ‘enter_STATE’ will be called.
The type of the parameter ‘event’: string
A ‘wildcard’ match on any event can be obtained using:
(current_state, None): next_state
An initialization sequence can be obtained using:
(‘’, None): start_state
An ‘attractor’ match: an event X can direct the next_state from whatever current_state:
(None, ‘event’): next_state
Precedence
The precedence algorithm goes as follows:
Attractor Match
Care should be exercised when using this matching pattern.


My name is Brian Kareko ive been to Moringa School and taken Software Development .The course is really interestingwhereby you get the chance to interact with a webpages content.The main reason why I joined Moringa School is because i had a passion and a goal of becoming a software development "heavyweight".I am also a reseacher on different recipes and even trying them out.I also have an passion for music my hobbies are:
On top of that i am really fascinated with the seven wonders of the world specifically the WILDBEAST MIGRATION accross RIVER MARA .It is my favourite mainly because my motherland is involved. Another reason is that no one can explain the imbalance of the echo system and the interdependence between the wildbeasts and the crocodiles which are the dominant dwellers of the mara river.Crocodiles are very fascinating reptiles with a mature crocodile believed to have 66 teeth 33 on the lower jaw and 33 on the upper jaw My spirit animal is an eagle,this is so because eagle are a captivating species of bird known to possess extreme survival instincts not to mention their vission.In addittion to that eagles are independent birds that dont rely on dead prey but strive to hunt them down themselves.That is the personal challenge i get from the eagle.
My experience at moringa school so far has been awesome .I able to equip myself with a few skills.The following is a list of areas I was able to cover:
I do have some skill concerning interactions with the VISUAL STUDIO CODE of which has been good and im looking foward to get to work with it as I create more projects on high quality webpages.Javascript is a smooth and comfortable language to use and has very flexible and equipped syntaxes.


Overexpression of HERV-W E1 and HERV-FRD 1 in colon adenocarcinoma patient sections analyzed by IHC. Both elements are principally expressed in the villi, intervillar space and crypts of the large intestine especially in the tumor area, normal tissues are almost negative. Magnification 400x, n = 20 independent sections


--- title: "BizTalk Command Line Scripts" layout: post ---
The always wonderful Lakshmi Murthy aka TechSavyGirl has a wonderful list of command line scripts for automating BizTalk 2006 tasks like adding an application, exporting an application, etc. You can find all the details here.


WITNESS LIST
Oversight of Higher Ed Governance, Excellence & Transparency
November 18, 2011 10:00 AM
Panel 1
ON:
Carlson Gunn, Carol Chair (also providing written testimony) (Midwestern State
University Board of Regents), Wichita Falls, TX
Garrett, John Chair (also providing written testimony) (Stephen F. Austin State University
Board of Regents), Tyler, TX
Pattillo, Baker President (also providing written testimony) (Stephen F. Austin State
University), Nacogdoches, TX
Rogers, Jesse President (also providing written testimony) (Midwestern State University),
Wichita Falls, TX
Panel 2
ON:
Lewis, Glenn Chair (also providing written testimony) (Texas Southern University Board
of Regents), Houston, TX
McCullough, P. Mike Chair (also providing written testimony) (Texas Woman's
University Board of Regents), Denton, TX
Rudley, PhD, John President (also providing written testimony) (Texas Southern
University), Houston, TX
Stuart, Ann Chancellor & President (also providing written testimony) (Texas Woman's
University), Denton, TX
Panel 3
ON:
Hance, Kent Chancellor (also providing written testimony) (Texas Tech University
System), Lubbock, TX
Jackson, Lee Chancellor (also providing written testimony) (University of North Texas
System), Dallas, TX
Khator, Renu Chancellor & President (also providing written testimony) (University of
Houston System), Houston, TX
McCall, Brian Chancellor (also providing written testimony) (Texas State University
System), Austin, TX
Panel 4
ON:
Cigarroa, Francisco Chancellor (also providing written testimony) (The University of
Texas System), Austin, TX
Loftin, R. Bowen President (also providing written testimony) (Texas A&M University),
College Station, TX
Powers, William President (also providing written testimony) (The University of Texas),
Austin, TX
Sharp, John Chancellor (also providing written testimony) (Texas A&M University
System), College Station, TX
1
WITNESS LIST
Oversight of Higher Ed Governance, Excellence & Transparency
November 18, 2011 10:00 AM
Public Testimony
Registering, but not testifying:
On:
Ratliff, Shannon Attorney (Self), Austin, TX
Providing written testimony:
On:
Inman, Admiral Bobby R. (Self), Austin, TX
Resource Witnesses
Registering, but not testifying:
On:
Dickey, Nancy President (Texas A&M Health Science Center), College Station, TX
Pincoffs Wilson, Mary Regent (Texas Woman's University Board of Regents), Austin, TX
Snow, Brent Provost and Vice President for Academic Affairs (Texas A&M- San
Antonio), San Antonio, TX
Providing written testimony:
On:
Bailey, Guy President (Texas Tech University), Lubbock, TX
Castille, Philip President (University of Houston- Victoria), Victoria, TX
Daniel, David E. President (The University of Texas at Dallas), Richardson, TX
Dottavio, F. Dominic President (Tarleton State University), Stephenville, TX
Flores, William President (University of Houston- Downtown), Houston, TX
Garcia, Juliet President (The University of Texas at Brownsville), Brownsville, TX
Keck, Ray M. President (Texas A&M International University), Laredo, TX
Killebrew, Flavius President (Texas A&M University- Corpus Christi), Corpus Christi, TX
Natalicio, Diana President (The University of Texas- El Paso), El Paso, TX
Nelson, Robert S. President (University of Texas- Pan American), Edinburg, TX
Nigliazzo, Marc A. President (Texas A&M University- Central Texas), Killeen, TX
O'Brien, J. Patrick President (West Texas A&M University), Canyon, TX
Rathburn, III, Carlisle President (Texas A&M University- Texarkana), Texarkana, TX
Romo, Ricardo President (The University of Texas at San Antonio), San Antonio, TX
Smith III, Robert President (Texas A&M University- Galveston), Galveston, TX
Spaniolo, James D. President (University of Texas-Arlington), Arlington, TX
Tallant, Steven President (Texas A&M University- Kingsville), Kingsville, TX
Wright, George C. President (Prairie View A&M University), Prairie View, TX
2