Class DeclensedItem
- java.lang.Object
-
- br.net.heaven.lavi.morphology.inflect.DeclensedItem
-
public class DeclensedItem extends java.lang.Object
Holds the declensed item attributes.
- Author:
- almir jr.
-
-
Constructor Summary
Constructors Constructor Description DeclensedItem(Noun noun, EnumNounCases nounCase, EnumNounPluralities plurality)
Creates an instance of a declensed item, given the parameters below.DeclensedItem(Noun noun, EnumNounPersons person, EnumNounPluralities plurality)
Creates a possessive form of the nominative, given the parameters below.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description DeclensedItem
clone()
Returns a copy of this instance.EnumNounCases
getCase()
Returns the declensed case attribute.Term
getDeclensed()
Returns the declensed version of the noun.Term
getNoun()
Returns the original noun.EnumNounPersons
getPerson()
Returns the declensed person attribute.EnumNounPluralities
getPlurality()
Returns the declensed plurality attribute.boolean
matches(NounDeclensionFilter... filters)
Returns whether the DeclensedItem instance matches all the filters.
-
-
-
Constructor Detail
-
DeclensedItem
public DeclensedItem(Noun noun, EnumNounCases nounCase, EnumNounPluralities plurality)
Creates an instance of a declensed item, given the parameters below.
- Parameters:
noun
- The noun to be declensednounCase
- The case in which it will be declensedplurality
- The plurality in which it will be declensed
-
DeclensedItem
public DeclensedItem(Noun noun, EnumNounPersons person, EnumNounPluralities plurality)
Creates a possessive form of the nominative, given the parameters below.
- Parameters:
noun
- The noun to be declensedperson
- The person in which it will be declensedplurality
- The plurality in which it will be declensed
-
-
Method Detail
-
getNoun
public Term getNoun()
Returns the original noun.
- Returns:
- the original noun
-
getDeclensed
public Term getDeclensed()
Returns the declensed version of the noun.
- Returns:
- the declensed version of the noun
-
getPerson
public EnumNounPersons getPerson()
Returns the declensed person attribute.
- Returns:
- the declensed person attribute
-
getCase
public EnumNounCases getCase()
Returns the declensed case attribute.
- Returns:
- the declensed case attribute
-
getPlurality
public EnumNounPluralities getPlurality()
Returns the declensed plurality attribute.
- Returns:
- the declensed plurality attribute
-
matches
public boolean matches(NounDeclensionFilter... filters)
Returns whether the DeclensedItem instance matches all the filters.
- Parameters:
filters
- The given filters- Returns:
- true if it matches all filters, false otherwise
-
clone
public DeclensedItem clone()
Returns a copy of this instance.
- Overrides:
clone
in classjava.lang.Object
-
-


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| HOME | DOWNLOAD | DOCUMENTATION | FAQ |
> Home > Documentation > Python
Spherical Harmonic Transformations
|
Equally sampled (N×N) and equally spaced (N×2N) Grids |
|
| SHExpandDH | Expand an equally sampled or equally spaced map into spherical harmonics using Driscoll and Healy's (1994) sampling theorem. |
| MakeGridDH | Create a 2D map from a set of spherical harmonic coefficients that conforms with Driscoll and Healy's (1994) sampling theorem. |
| SHExpandDHC | Expand an equally sampled or equally spaced complex map into complex spherical harmonics using Driscoll and Healy's (1994) sampling theorem. |
| MakeGridDHC | Create a 2D complex map from a set of complex spherical harmonic coefficients that conforms with Driscoll and Healy's (1994) sampling theorem. |
|
Gauss-Legendre quadrature grids |
|
| SHGLQ | Precompute the weights and nodes used in the GLQ-based spherical harmonics routines. |
| SHExpandGLQ | Expand a 2D map sampled on the Gauss-Legendre quadrature nodes into spherical harmonics. |
| MakeGridGLQ | Create a 2D map from a set of spherical harmonic coefficients sampled on a the Gauss-Legendre quadrature nodes. |
| SHExpandGLQC | Expand a 2D complex map sampled on the Gauss-Legendre quadrature nodes into complex spherical harmonics. |
| MakeGridGLQC | Create a 2D complex map from a set of complex spherical harmonic coefficients sampled on a the Gauss-Legendre quadrature nodes. |
| GLQGridCoord | Compute the latitude and longitude coordinates used in Gauss-Legendre quadrature grids. |
|
Other |
|
| SHExpandLSQ | Expand a set of irregularly sampled data points into spherical harmonics using a least squares inversion. |
| MakeGrid2D | Create a 2D cylindrical map with arbitrary grid spacing from a set of spherical harmonic coefficients. |
| MakeGridPoint | Evaluate a real function expressed in real spherical harmonics at a single point. |
| MakeGridPointC | Evaluate a complex function expressed in complex spherical harmonics at a single point. |
| SHMultiply | Multiply two functions and determine the spherical harmonic coefficients of the resulting function. |
> Home > Documentation > Python
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{% extends "base.html" %}
{% load i18n %}
{% load static %}
{% block content %}
{% trans "Wally has gone out in search of adventure again! Perhaps you have heard of him from his famous series of books Where's Wally? full of his many pictures from various exotic times and places. As usual, he likes to hide somewhere at each location so that his friends can have fun looking for him." %}
{% trans "That search for him is now easier than ever before with this new tool that detects him using a powerful technique from machine learning: the artificial neural network. This system is made up of a collection of connected units called artificial neurons, which are reminiscent of neurons in a brain. These artificial neurons process the data, and transfer them to the next neurons until the data reaches an output node indicating a decision. To calibrate the connections between neurons, the network trains itself by taking appropriate data through the network, and adjusting the connections to reduce errors in the final predictions. After it learns Wally's different features from images with him and those without him, this model is able to detect his location in new images." %}
{% trans "Give it a try now: look through the collection of images below, and select one to start finding Wally! If you do not see any images, try opening the website in another browser." %}
{% trans "Once you have selected an image from the collection, click on the button above to find Wally. You can also add more images from the Internet by typing its address in the box below and clicking the button on the side. Afterwards, you can select that image just like any of the others in the collection to find Wally. Because of the restrictions of using a free account with the PythonAnywhere web-hosting service, you can only add certain external sources such as Twitter. You may find some good new images to try from Wally's Twitter below." %}


Mainflux is full-stack, perfromant, scalable, secure, open source and patent-free IoT cloud platform written in the Go programming language. Built as a set of microservices containerized by Docker and orchestrated with Kubernetes, it accepts connections over multiple network protocols (i.e. HTTP, MQTT, WebSocket), thus making a seamless bridge between them, and meant to be used as IoT middleware which provides all necessary capabilities for the development of IoT solutions, applications and intelligent devices.
Mainflux is created with a experience gained developing WeIO, Linux prototyping HW & SW board, conceived to democratize rapid prototyping and creation of wirelessly connected interactive IoT objects through an intuitive Python-based SDK that could interface with the underlying hardware. This development was crucial because important lessons are learned how devices, sensors, and hardware affects the connectivity, protocol choices and IoT cloud architecture from the bottom up towards the cloud and application.
Selection of the Go language was essential for Manflux overall performance. Go brings the best of both worlds. On the one hand, it is efficient: it runs directly on the underlying hardware, has small footprint and fast compiler. On the other hand, has an elegant concurrency code easy to write and maintain.
As an advanced, architecture Mainflux IoT platform has been recognized by the Linux Foundation, and been invited to join their EdgeX Foundry Project, an open source framework for edge computing hosted within a full hardware- and OS-agnostic reference software platform. Its mission is to set standards for interoperability and address challenges currently hindering faster adoption and successful implementations of IoT technology.
Due to Go programming language, and microservices-based architecture it has high-performance, scalability, fault-tolerance, small footprint, deployment speed, fast and robust execution.
SDK - Client libraries for many hardware platforms in different programming languages, including: C/C++, JavaScript, Python and Go and with open APIs provide the ability to easily connect any device or sensor without modification or adjustment.
Reconfiguration or modification of the core platform is not needed for the implementation of vertical solutions and applications new features and functionalities.
PUB/SUB multiprotocol messaging bridge - HTTP, MQTT, WebSocket, CoAP - based on NATS ultra-performant broker.
Seamless 3rd-party integration with existing enterprise systems (e.g., ERP, BI, CRM), databases, and analytics programs, back-end systems and/or other cloud services is provided and ensured with open, modularized and flexible architecture consisting of many IoT protocols and easy-to-use APIs.
Enhanced and fine-grained security via deployment-ready Mainflux Authentication and Authorization Server with Access Control scheme based on customizable API keys and scoped JWT. NGINX reverse proxy for security, load-balancing and termination of TLS and DTLS connections.
Deployable from multi-datacenter scale to RPi class devices.
Low operating expense (OPEX) due to design and selection of core technologies.


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Translator: yx-tan
Author: labuladong
Today let’s talk about three common interview problems which are quite confusing. They are finding subset, finding permutation and finding combination.
These problems can be solved by a backtracking algorithm template, what’s more the subset problem can also be solved by mathematical induction. You can keep the routines of these three problems in mind to avoid confusion.
The problem is simple: Input an array without duplicate numbers, and your algorithm needs to output all subsets of these numbers.
For example, for the input nums = [1,2,3]
, your algorithm should output 8 subsets, including empty set and the set itself. The order can be different:
[ [],[1],[2],[3],[1,3],[2,3],[1,2],[1,2,3] ]
The first solution is using the idea of mathematical induction: Suppose now I know the results of a smaller subproblem, then how can I derive the results of the current problem?
To be specific, now you need to find the subset of [1,2,3]
, if you have already known the subset of [1,2]
, can you derive the subset of [1,2,3]
? Let’s take a look of the subset of [1,2]
:
[ [],[1],[2],[1,2] ]
You will find such a rule:
subset([1,2,3]
) - subset([1,2]
)
= [3],[1,3],[2,3],[1,2,3]
And this is to add 3 to each set in the result of subset([1,2]
).
In other words, if A = subset([1,2])
, then:
subset([1,2,3])
= A + [A[i].add(3) for i = 1..len(A)]
This is a typical recursive structure: The subset of[1,2,3]
can be derived by[1,2]
, and the subset of [1,2]
can be derived by [1]
. Obviously, the base case is that when the input set is an empty set, the output subset is also an empty set.
It is easy to understand if we translate the idea into code:
vector<vector<int>> subsets(vector<int>& nums) {
// base case, return an empty set
if (nums.empty()) return {{}};
// take the last element
int n = nums.back();
nums.pop_back();
// recursively calculate all subsets of the previous elements
vector<vector<int>> res = subsets(nums);
int size = res.size();
for (int i = 0; i < size; i++) {
// then append to the previous result
res.push_back(res[i]);
res.back().push_back(n);
}
return res;
}
It is easy to make mistakes calculating the time complexity of this problem. The method we said to calculate the time complexity of a recursive problem is to find the recursion depth and then multiply it by the number of iterations in each recursion. However, for this problem, the recursion depth is obviously N, but we found that the number of iterations of for loop in each recursion depends on the length of res
, which is not fixed.
According to the idea above, the length of res
should be doubled every recursion. So the total number of iterations should be 2^N. Or don’t bother, how many subsets of a set of size N has do you think? 2^N, right? So at least 2^N elements must be added to res
.
So is the time complexity of the algorithm O (2^N)? Still wrong. 2^N subsets are added to res
by push_back
, so the efficiency of push_back
operation must be considered:
Because res[i]
is also an array, push_back
copies res[i]
and adds it to the end of the array, so the time of one operation is O (N).
Above all, the total time complexity is O (N*2^N), which is quite time-consuming.
Considering space complexity, if the space used to store the returned results is not calculated, only O(N) recursive stack space is required. If you calculate the space for res
, it should be O (N*2^N).
The second general method is the backtracking algorithm. There is a template for backtracking algorithms in the old article DetailsaboutBacktracking:
result = []
def backtrack(Path, Seletion List):
if meet the End Conditon:
result.add(Path)
return
for seletion in Seletion List:
select
backtrack(Path, Seletion List)
deselect
We just need to modify the template of the backtracking algorithm:
vector<vector<int>> res;
vector<vector<int>> subsets(vector<int>& nums) {
// record the path
vector<int> track;
backtrack(nums, 0, track);
return res;
}
void backtrack(vector<int>& nums, int start, vector<int>& track) {
res.push_back(track);
for (int i = start; i < nums.size(); i++) {
// select
track.push_back(nums[i]);
// backtrack
backtrack(nums, i + 1, track);
// deselect
track.pop_back();
}
}
It can be seen that the update position of res
is in the preorder traversal, which means, res
is all nodes on the tree :
Input two numbers n, k
, and the algorithm outputs all combinations of k numbers in [1..n]
.
For example, input n = 4, k = 2
, the output is as follows, the order does not matter, but it cannot contain duplicates (according to the definition of the combination,[1,2]
and[2,1]
are also duplicates):
[ [1,2], [1,3], [1,4], [2,3], [2,4], [3,4]]
This is also a typical backtracking algorithm. K
limits the height of the tree, and n
limits the width of the tree. Just continue to use the template framework of the backtracking algorithm we have mentioned before:
vector<vector<int>>res;
vector<vector<int>> combine(int n, int k) {
if (k <= 0 || n <= 0) return res;
vector<int> track;
backtrack(n, k, 1, track);
return res;
}
void backtrack(int n, int k, int start, vector<int>& track) {
// reach the bottom of tree
if (k == track.size()) {
res.push_back(track);
return;
}
// note: i is incremented from start
for (int i = start; i <= n; i++) {
// select
track.push_back(i);
backtrack(n, k, i + 1, track);
// deselect
track.pop_back();
}
}
The backtrack
function is similar to computing a subset, except that the time to update res
is reaching the bottom of tree.
Enter an array nums
which does not contain duplicate numbers , and return all permutations of these numbers.
For example, for input array [1,2,3]
, the output result should be as follows, the order does not matter, there can be no duplicates:
[ [1,2,3], [1,3,2], [2,1,3], [2,3,1], [3,1,2], [3,2,1]]
This problem is used in DetailsaboutBacktracking to explain the backtracking template. We use this problem again to compare the coded of two backtracking algorithms “permutation” and “combination”.
First draw a backtrack tree and take a look:
Our solution was written in Java code at that time:
List<List<Integer>> res = new LinkedList<>();
/* main function, input a uique set of numbers and return all permutations of them */
List<List<Integer>> permute(int[] nums) {
// record "path"
LinkedList<Integer> track = new LinkedList<>();
backtrack(nums, track);
return res;
}
void backtrack(int[] nums, LinkedList<Integer> track) {
// trigger the ending condition
if (track.size() == nums.length) {
res.add(new LinkedList(track));
return;
}
for (int i = 0; i < nums.length; i++) {
// exclud illegal selections
if (track.contains(nums[i]))
continue;
// select
track.add(nums[i]);
// go to the next decision tree
backtrack(nums, track);
// deselect
track.removeLast();
}
}
The backtracking template remains unchanged, but according to the trees drawn by the permutation problem and the combination problem, the tree of the permutation problem is relatively symmetrical, and the tree of the combination problem has fewer right nodes.
In the code we can see, the permutation problem uses the contains
method to exclude the numbers that have been selected in track
each time; while the combination problem passes a start
parameter to exclude the numbers before the start
index .
The above is the solution to the three problems of permutation, combination and subsets. To sum up:
The subset problem can use the idea of mathematical induction: assuming that the results of a smaller problem are known, and thinking about how to derive the results of the original problem. You can also use the backtracking algorithm, using the start
parameter to exclude selected numbers.
The combination problem uses the backtracking idea, and the results can be expressed as a tree structure. We only need to apply the backtracking algorithm template. The key point is to use a start
to exclude the selected numbers.
The permutation problem uses the backtracking idea, and it can also be expressed as a tree structure to apply the algorithm template. The key point is to use the contains
method to exclude the selected numbers. There is detailed analysis previously. Here we mainly compare it with the combination problem.
Keeping the shape of these trees in mind is enough to deal with most backtracking algorithm problems. It is nothing more than the pruning of start
or contains
. There is no other trick.


In Firefox, suppose you have a node and you give it position relative or absolute and then you append a dynamic iframe to it.
The iframe content is created such that it loads an external script file and has a body.onload listener. Then...


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{% extends 'pages/pagesbasic.html' %} {% block content %}
The latest in the Berkeley housing front. SFBARF's Berkeley subcommittee meets every Saturday, 11AM at Royal Ground Coffee.
The Berkeley area group focuses on Berkeley. Be a part of the cause. Read the archives.


Get Work Done
- Sign in to Listant and post a job
- Connect with top applicants in your local community
- Pay & review the worker as soon as your job is complete
Get Work
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Start Listing. Start Searching.


--- layout: page title: Some of My Projects published: true ---
Here are some of the projects that I've built over the past few years. Each is a tool that has found some use in my life. Enjoy!
Short for Memorize Repeat, this app speeds up memorization through the use of increasing time intervals between card quizzes. Cards are stored locally with HTML5 storage and, if possible, synced to the Google cloud.
Pretty fun project that I built in 2013. I used Javascript with a sprinkling of jQuery. I should add some chomp chomp sound effects.
Javascript remake of minesweeper.
I built this app for mortgage lenders and borrowers in 2009.


WITNESS LIST Juvenile Justice & Family Issues Committee February 27, 2001-1:15P HB 919 For: Buchanan, Bree (Texas Council on Family Violence) Riddering, Hannah (Self and Texas National Organization for Women) Tindall, Harry (Texas Commission on Uniform State Laws) HB 920 For: Cox, Heidi (The Gladney Center) Tindall, Harry (Texas Commission on Uniform State Laws) Against: Jones, Marjorie (Self and The Coalition for the Restoration of Parental Rights) Valencia, Denise (Self) On: Baldwin, Howard (Office of the Attorney General) Sampson, John J. (Self) Sprinkle, G.K. (Daily Court Review & Daily Commerical Record) Stansbury, Tom (Self) HB 997 For: Cox, Heidi (The Gladney Center & Am. Academy of Adoption Attorneys) Paquet, Susan (Self and American Academy of Adoption Attorneys) HB 1246 For: Tindall, Harry (Texas Commission of Uniform State Laws) Yarrell, Ellen (Family Law Section) Against: Wanger, Diane (Self) On: Bays, Richard (Tx. Dept. of Health, Bureau of Vital Statistics) Sampson, John J. (Self) Stansbury, Tom (Self and State Bar of Texas, Family Law Section) HB 1365 On: Baldwin, Howard (Office of the Attorney General) Shelton, David (Self) HB 1632 For: Cox, Heidi (The Gladney Center & Am. Academy of Adoption Attorneys) Paquet, Susan (Self and American Academy of Adoption Attorneys) HB 1635 For: Akers, Martha (Self) Cox, Heidi (The Gladney Center & Am. Academy of Adoption Attorneys) Paquet, Susan (Self and American Academy of Adoption Attorneys) Yarrell, Ellen (Self) Against: Wanger, Diane (Self and Texas Coalition for Adoption Resources & Education)


NIF Objects | Compound Types | Enum Types | Basic Types | File Versions
| Name | Type | Arg | Arr1 | Arr2 | Cond | Description | From | To |
|---|---|---|---|---|---|---|---|---|
| Name | string | Type of data (POSITION, POSITION_BP, INDEX, NORMAL, NORMAL_BP, TEXCOORD, BLENDINDICES, BLENDWEIGHT, BONE_PALETTE, COLOR, DISPLAYLIST, MORPH_POSITION, BINORMAL_BP, TANGENT_BP). |
||||||
| Index | uint | An extra index of the data. For example, if there are 3 uv maps, then the corresponding TEXCOORD data components would have indices 0, 1, and 2, respectively. |


This example shows you how to use GwtModernizr to branch your css definitions. css files for this example


I Think I Can
July 26, 2015
My biggest struggle so far in Phase 0 of Dev Bootcamp has been clearly communicating complex thoughts and ideas to others. Particularly verbally. I think that may be because of my thinking style: abstract. According to Professor Anthony Gregorc, there are 4 main thinking styles, and I scored equally in Abstract Random and Abstract Sequintial. And it makes sense. I mean, it matches up with what I know about myself. I love the world of theory and abstract thought, and I organization information through reflection. At least, that's what the internets tell me. It also happens to be true. Anyway, I've been wondering what to do about this. This struggle of mine.
Practice would probably help. I may try, not just talking more, but talking a lot more. This'll help me get more practice in, and even though I'm sure to fee like I'm over-explaining (compared to my usual style of acting like people can just read my mind), I may also be better able to see what works and start to find patterns that'll help me explain myself more concisely while being more consistently successful.
Another thing I should probably try is talking more in facts and beginning fewer sentences with "I feel..." or "It seems..." Wish me luck! I think I can, I think I can, I think I can...


--- layout: page category: spec title: "HTML Microdata" ---
| Current Status: | Working Draft (WD) |
|---|---|
| Canonical URI: |
http://www.w3.org/TR/microdata
|
| Abstract: | This specification defines new HTML attributes to embed machine-readable data in HTML documents in a style similar to RDFa. It is compatible with JSON, and can be written in a style which is convertible to RDF, although two-way conversion is not lossless. |
HTML MicrodataUpdates:


Failure Considerations for the C (libcouchbase) SDK in Couchbase
Failover is the means by which a node is removed from the cluster and all its owned vBuckets are immediately:
-
Transferred to a replica node (if there are replica nodes)
-
Marked offline (if there are no replica nodes).
What to expect in an application during failure
When a node fails (as opposed to fails over) the client library will be unable to contact the node. Operations may either time out (if the node has become unresponsive; for example if the OS kernel has crashed) or fail immediately with a network error (if the node is actively rejecting connections; for example if the Couchbase service was shut down).
Your life can be made much simpler by simply receiving a code of SERVERIS_DOWN the moment a node became unavailable. This, however, is usually not the case. The most common type of failure is an unresponsive node or broken network - which results in often-cryptic _Timeout errors (or Queue Full). Unfortunately timeout errors can also be received when a network (or server) is genuinely slow (as opposed to crashed).
The client library will generally not retry timed-out operations: by definition, a timed out operation is an operation which could not be completed within a given amount of time. Likewise the application should not retry a timed-out operation. The recommended action is to report the failure up the stack.
What to expect during Failover
Couchbase offers a feature called Failover which allows an offending node to be removed from the cluster, immediately transferring all its vBucket resources (as opposed to rebalance, which transfers these resources incrementally). Failover can either be done manually, or automatically (more on this later).
After the offending node has been failed over the client will detect the node down within a matter of seconds. When the SDK detects a node has been failed over, it will remove it internally from its list of cluster nodes.
Further operations will either succeed or fail depending on the status of the cluster after the failover:
-
If there are remaining replicas the operations will succeed as normal - just as before the server failed
-
If there are no remaining replicas, operations destined for the failed node will now fail with a "NO NODE AVAILABLE" error. This error will continue to be returned for operations belonging to the relevant vBuckets until either:
-
The failed node is re-added to the cluster
-
The cluster is rebalanced (and thus any data on the old node is lost)
-
Handling missing nodes
A Missing Node error is reported when the cluster is in a degraded state. One of the cluster nodes has been failed over and no replica exists to take its place. As a result, a portion of the cluster’s dataset becomes unavailable.
Recovering from this scenario is possible only through administrative action. The administrator must either re-add the node or rebalance the cluster in order to make the rest of the cluster’s data accessible again.
The SDK will periodically check to see if the cluster is no longer in a degraded state; thus even when the cluster’s state is corrected it may still take some time for this information to be propagated across the clients.
Missing nodes may also affect client bootstrap, as the IP or hostname present in the connection parameters may no longer be up or part of the cluster. You may specify multiple hostnames or IP addresses in the connection parameters. When multiple hosts are supplied, the SDK will attempt to connect to each host in the list until a bootstrap attempt has succeeded, or until a timeout has been reached.
Timeouts
Timeouts are returned by the client when an operation is waiting too long for an acknowledgment from the server. The length of time a client waits for an a response from the server is configurable (see your language’s Couchbase SDK reference for how to configure it).
Timeouts are caused by an unresponsive network or software system. Possible causes are:
-
Congested network.
-
Heavy CPU load on the server.
-
Heavy CPU load on the client.
-
Physical disruption between client and server
Applications should generally not retry an operation if it resulted in a timeout before performing corrective action and/or analysis to determine the cause of these timeouts.
If your application cannot simply return an error but must ensure that the operation completes, it is suggested that you wait a while until retrying (similar to the mechanism used when receiving a temporary failure).
|
Timeout does not mean the operation failed. It is important to note that receipt of a timeout error does not mean the operation did not complete. It means the server did not respond in a timely fashion. It is possible that the operation completed on the server, but the acknowledgment response was not received by the client. If the CAS of the item is known, you may use it to guard against performing the same operation twice. |
Network Failures
Network errors are returned by the client if it cannot establish a network connection to the server, or if an existing network connection was terminated. The cause of a network error may be included in the error object itself (for example, couldn’t resolve host name, connection refused, no route to host).
Like timeout errors, network errors may be transient (indicative of a bad network connection). They may also be a result of a node being failed over.
Applications may retry operations which failed with network errors after waiting for a while (as in timeout errors].
Retrying operations too soon may result in creating massive amounts of TIME_WAIT
connections on the client, and in extreme cases, even cause system crashes or rendering it inaccessible via the network.
|
Network error does not indicate the failure of the operation. As in timeout errors, it is not possible to determine if an operation was actually completed if it resulted in a network error. |
For cases where it is of the utmost importance to retrieve the item, a read from a replica can be performed. This will retrieve a potentially stale item.
Reading from replicas
High-availability applications can read documents from replicas, exchanging consistency for availability.
If your bucket is configured for replication, then multiple replicas of each item exist within the cluster. By default the client will attempt to access an item using its computed master or active node. This returns the current and authoritative version of the item as it is stored within Couchbase.
In conditions where access to the active node is unavailable (for example, it is disconnected from the network), an application may be able to access a replica version of the item using the get-from-replica operation which queries a replica node for a copy of the item.
| The item received from a replica node may be an older version. It is possible a newer version exists in the active node, but did not manage to get replicated before the active node went offline. |
Handling unresponsive servers
If a server is unresponsive action should be taken to determine the cause and either fix the server or fail it over, depending on available replicas and the type of problem caused. The client SDK cannot determine if a server is unresponsive and by default assumes that any network or server failure is extremely temporary in nature and will attempt to reconnect as required.
If a cluster node is unresponsive and the application determines (through a mechanism outside Couchbase) that the node may be unresponsive for some time, it is possible to avoid sending operations to that node:
In Couchbase architecture, keys are mapped to [vBuckets], which in turn are mapped to cluster nodes. To avoid sending operations to a specific server, you need to retrieve the server index for the key and then the hostname corresponding to that index. This is done by using the vBucket API:
bool maybe_skip_host(lcb_t instance,
const std::string& key,
const std::vector<std::string>& badhosts) {
lcbvb_CONFIG *vbc;
lcb_cntl(instance, LCB_CNTL_GET, &vbc);
int ix, vbtmp;
lcbvb_map_key(vbc, keybuf, keylen, &vbtmp, &ix);
if (ix < 0) {
// Missing node. See next section!
return false;
} else {
std::string hostname = lcbvb_get_hostname(ix);
for (size_t ii = 0; ii < badhosts.size(); ++ii) {
if (hostname == badhosts[ii]) {
return true;
}
}
}
return false;
}


Knowledge Channel emphasizes value of teaching and learning
by Manila Standard ShowbizMichaela Nabella
, a grade 10 student from Morong, Rizal, who grew up watching shows on Knowledge Channel, is now reaping the benefits of her own determination to learn with the help of Knowledge Channel Foundation Inc. (KCFI)
“Watching Knowledge Channel helped me become a salutatorian. I am more eager to learn and the teaching is more effective,” she said.
Nabella, who was featured at the recent celebration of KCFI’s 20th anniversary on ASAP Natin ‘To
, is just one of the many students that the foundation’s shows and programs have helped throughout the years.
“In 20 years, millions of students from 7,000 public schools across the country have learned and are continuously learning through the effective and fun way of learning made available by KCFI through educational videos and technology,” KCFI president and executive director Rina Lopez-Bautista
said.
Knowledge Channel, the television platform of the foundation, is known for educational shows and programs that emphasize teaching and learning.
They also feature some Kapamilya stars like Enchong Dee for Agricoolture, Maymay Entrata and Khalil Ramos for Puno ng Buhay, Marlo Mortel for the educational game show Knowledge on the Go!, MathDali with Robi Domingo and the animation show Wikaharian, with Teacher Michelle Agas
.
Knowledge Channel also paid tribute to the teachers who have been the foundation’s partners in shaping the future of the children. Among the valiant teachers who persevere in making an impact on the minds of their students is Blessilda Grace Patnon, a teacher from Dila Elementary School in Santa Rosa, Laguna who was featured on the Sunday variety show.
“In being given the opportunity to be included as one of the beneficiaries of Knowledge Channel, I can truly say how much of a positive impact it has been in our students because education is made easier, interactive, and holistic. All of us teachers are grateful for the assistance given by Knowledge Channel Foundation,” Blessilda said.
But KCFI’s mission still continues. “A lot of things has been enacted, and there’s still a lot that can be done. Join us and be a Knowledge champion,” Lopez-Bautista said as she sought the support of viewers.
Completing the celebration on ASAP Natin ‘To was a musical highlight, which featured the Voices Iuvenes children’s choir, along with the TNT Boys, and Piolo Pascual who sang the APO Hiking Society
classic, “Bawat Bata.”


{% extends "cdadsurvey/base.html" %} {% load i18n %} {% block content %}
You are now registered for an account, but this account is not yet activated. Please check the email address you entered in the previous step for a link to activate your account. Thank you!


CONFIDENTIAL PROPOSAL [CODE NO: AM-0007] Good Day, I am Mr. Ming Yang, Director of Operations of the Hang Seng Bank Ltd, Sai Wan Ho Branch, Hong Kong. My purpose of contacting you is because you dont leave in Hong Kong. I have an obscured business suggestion for you.I am here-by seeking your service in helping me recieve a large amount of money and in giving a clear research and feasibility studies on areas I could invest on.  As a bank employee, I can not operate any personal investment till I am retired and with the Anti-corruption Bill passed in Hong Kong; it is risky for a fixed income earner to own any huge amount of money in Hong Kong or any foreign country. It is then advisable to invest in any foreign land secretly and patiently wait retirement. For security purpose, due to telecom interception in Hong Kong, I shall not accept or acknowledge any phone call. Only fax messages/emails would be treated in relation to this proposal but not without this code; [CODE NO: AM-0007]. Should you be further interested, I would prefer you to reach me soon and finally after that I shall provide you with more details of this operation. Kind Regards Mr. Ming Yang Hang Seng Bank Ltd Sai Wan Ho Branch 171 Shaukiwan Road Hong Kong. Private email: hangsengbank200@yahoo.com.hk


Indicates if column multi sort is allowed.
Boolean, default = true
If multi sort is allowed, user can sort by more then one column at a time (holding ctl or cmd key). This property can be defined
during object creation:
Or any time after the grid has been created:
Please note, you need to enable column sort when you define .columns for the grid.
See .columns property for more information.


Before Change
// Mapper feeds link data from sampled subgraphs to GraphSAGE model
// We need to create two mappers: for training and testing of the model
train_gen = GraphSAGELinkGenerator(
G_train, batch_size, num_samples, name="train"
).flow(edge_ids_train, edge_labels_train, shuffle=True)
test_gen = GraphSAGELinkGenerator(
G_test, batch_size, num_samples, name="test"
).flow(edge_ids_test, edge_labels_test)
After Change
// Mapper feeds link data from sampled subgraphs to GraphSAGE model
// We need to create two mappers: for training and testing of the model
train_gen = GraphSAGELinkGenerator(G_train, batch_size, num_samples)
train_flow = train_gen.flow(edge_ids_train, edge_labels_train, shuffle=True)
test_gen = GraphSAGELinkGenerator(G_test, batch_size, num_samples)
test_flow = test_gen.flow(edge_ids_test, edge_labels_test)


Dolly Parton's faith-based CMAs performance praised by fans: ‘Everyone should be made to listen to this’
by Julius YoungDolly Parton is never short on delivering heart-stopping moments.
Wearing multiple hats on one of country music’s biggest nights, the “9 to 5” songstress traded her hosting duties for a pulpit when she took center stage Wednesday at the 2019 CMAs and belted out a trio of faith-based anthems for a medley of her own.
Tapping Christian pop duo King & Country for their collaboration of “God Only Knows,” Parton set the audience up for an unexpected trip to church when she then brought out Zach Williams for a rendition of “There Was Jesus,” before going solo and summoning a gospel choir for her offering of “Faith,” in which she collaborates with Galantis and Mr. Probz.
REBA MCENTIRE WALKS RED CARPET AFTER CONFIRMING BREAKUP
Fans viewing at home immediately took to Twitter to share in their praise for the Dollywood operator, calling Parton’s showing “the best performance of the night.”
KACEY MUSGRAVES, GIGI HADID STUN ON THE CMAS RED CARPET
“Thank you @DollyParton for the BEST performance of the night! @KeithUrban did an awesome job too!” wrote one user, while another echoed the sentiment, adding, “Literally sat here like a giddy child watching Dolly Parton sing on the CMAs.”
However, while many fans were in awe of the 73-year-old Parton’s ability to set the stage ablaze with just her voice, others were head-over-heels in love with the fact they were able to witness faith-based music from Parton on national TV.
CMA AWARDS 2019 COMPLETE WINNERS LIST
"Can't believe @ABCNetwork allowed songs about Jesus, Faith, and God. Thank you Dolly Parton!" wrote one user on Twitter.
“I’m sorry, @DollyParton singing worship music is everything. Everyone should be made to listen to this. Love this. I swear there would be a lot less hate in the world if everyone did. @CountryMusic #CMAs,” another emphatically shared.
Another reverberated the sentiment, writing, “Taking us to church- Amazing!” and tagging the three performing acts on stage.
While another fan simply wrote, “Best quote tonight at #CMA by @DollyParton, of course--"Everybody at the CMAs, keep the faith!" @CountryMusic.”
CLICK HERE TO GET THE FOX NEWS APP
Parton has taken home 12 CMA Awards throughout her illustrious career and the “Jolene” singer continues to not only be at the forefront of women empowerment in music and business, but also has her hand in the television streaming pot with her Netflix anthology series, “Dolly Parton’s Heartstrings.”


This application provides the framework to build integration services. It uses Spring Boot as runtime environment.
info health swagger-ui


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This site is not affiliated with Boy Scouts of America. Use of this website is free, but subject to these conditions.Version {{#with data}}{{version}}{{/with}}


With a vast multidimensional history that includes the Civil War, shaping music history, and unique culinary tastes such as Hot Chicken and cotton candy Nashville TN is the destination that will give your family high-voltage memories to cherish for decades
Get 40 mpg highway and 30 mpg city with a rental of the stylish 2019 Volkswagen Jetta.
Hear and feel the culture resonate through you with stay at the Gaylord Opryland Resort + SoundWaves water park and music experience
Take a moment to pause your trip on the way to Nashville to gauge at the awe-inspiring Land Between The Lakes, the largest in-land peninsula in the United States.
Enjoy nature when you spot these native Tennessean wildlife species: Coopers Hawk, Nine Banded Armadillo, Deer, Owls, and Red Fox.
Here is the cost breakdown for a family of four heading from Rockford, Tennessee to Music City for five days on a budget of $2,734.58!
Here is a breakdown based on percentages birds-eye view of what you spent.
As you can see, based upon the set budget you will actually be able to save 12% of your budget for when you need it.


1. Currently, it is only works for Wikimedia Commons for 50 files at a time.
2. In Image list, only write one file in one line. If line exceeding then remove it.
Created by: Jay Prakash For more information, see: Indic-TechCom


-
Exclusive - Bill Cosby Extended Interview
thecolbertreport.cc.com
Bill Cosby looks back on how his friends reacted after the first time they saw him perform on stage.
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WhiteHat Security - Senior Network Administrator
hire.jobvite.com
Senior Network Administrator - WhiteHat Security has an immediate opening for a Senior Network Administrator in IT. You will spearhead managing our ...
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Breaking News, World News & Multimedia
www.nytimes.com
The New York Times: Find breaking news, multimedia, reviews & opinion on Washington, business, sports, movies, travel, books, jobs, education, real ...
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Apple's Beats Music Brand May Go Away. Apple's Beats Music Service Is ...
recode.net
That makes more sense.
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JavaScript for Automation Release Notes
developer.apple.com
Describes late-breaking news and highlights of new or changed features in the latest release of JavaScript for Automation.
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Product Hunt
www.producthunt.com
Product Hunt is a curation of the best new products, every day. Discover the latest mobile apps, websites, and technology products that everyone's ...
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Techmeme
techmeme.com
The essential tech news of the moment. Technology's news site of record. Not for dummies.
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Google Discussiegroepen
groups.google.com
Met Google Discussiegroepen kun je online forums en e-mailgroepen maken en eraan deelnemen. Bovendien profiteer je van uitgebreide ...
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Last Week Tonight with John Oliver: Ferguson, MO and Police Militarization ...
www.youtube.com
In the wake of the shooting of Michael Brown in Ferguson, MO, John Oliver explores the racial inequality in treatment by police as well as the ...


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AJAY PANCHAKSHARI.
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Wednesday evening PM Narendra Modi formally launched Digital India, a programme to improve digital connectivity and to use IT services to deliver various services and information to people in India. The programme is fairly exhaustive. It has a number of elements in it and a number of other smaller proposals and programmes that would roll out gradually. While the success or failures of the Digital India initiative will become clear only in next few years, if the government can follow up on its proposals, it may significantly change the lives of people in the country. Here are 6 ways the Digital India can potentially change your life.


A year ago, I was finishing up my last week in NYC as a MAIP 2019 fellow. Needless to say, things are looking a bit different this time around. Funnily enough, I happen to be in the city again — just not under the circumstances I expected.
This summer I was supposed to be absorbing the Florida sun into my skin every day working for a Tampa agency. Instead, most days I sit by my window hoping to catch a glimpse of the afternoon sun as I sit in zoom meetings adjusting to life’s new normals.
But as they say — when life closes a door, somewhere it opens a window. Thank you MAIP 2020 for being the necessary community, resource, and distraction I needed this summer.
I’m particularly grateful for the final phase of MAIP VEP where we worked on our summer projects in teams. This is a dedication to Team 5 aka “Sugar and Spice” who quickly became my virtual family over a course of three weeks. Countless long nights working with a couple virtual happy hours thrown in and you’ve got yourself the world’s best MAIP VEP Summer Project Team. I’m proud of how we worked together (time zone’s and all!) and the work that we produced. In fact, we were even chosen as finalists for one of our pitches. No one really does it like Sugar and Spice.
Be sure to check out some of the work we did together (here and here) before you leave!


This ‘Software User Agreement and Terms of Service’ define terms of use of software developed and provided by Etna Development OÜ and it’s services, and constitute a legal agreement between you as a user (hereinafter ‘User’ or ‘you’) and Etna Development OÜ (hereinafter “the Company“, “Etna Development OÜ”, “we” or “us”)
ETNA DEVELOPMENT OÜ, is an Estonian private limited company, registered under registry code 14477355, whose legal address is Pärnu mnt 158, Tallinn, 11317, Estonia
The Company provides its activities according to law of the Republic of Estonia and European Union law with the following licenses :
This agreement is concluded in the Republic of Estonia between you and the Company on the date and time you start using the software and/or service provided by the Company. Use of the software and service occurs in in the Republic of Estonia regardless of the user's physical location.
These are legal terms and conditions of using the software and the service. No other materials, including website texts, prospects, bucklets, blog post, and other marketing material should be considered as establishing and defining legal relationship between the user and the Company, nor the legal status of software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
The purpose of customer due diligence is to prevent the use of assets and property obtained in a criminal manner in the economic activities of credit institutions and financial institutions and in the services provided by them whose goal is to prevent the exploitation of the financial system and economic space of the Republic of Estonia for money laundering and terrorist financing. Customer due diligence is aimed, first and foremost, at applying the Know-Your-Customer principle, under which a customer shall be identified and the appropriateness of transactions shall be assessed based on the customer’s principal business and prior pattern of payments. In addition, customer due diligence serves to identify unusual circumstances in the operations of a customer or circumstances whereby an employee of the Company has reason to suspect money laundering or terrorist financing.
Requirement for the measures of prevention of money laundering and terrorist financing is that the Company does not enter into transactions or establish relationships with anonymous or unidentified persons. Legislation requires that the Company waives a transaction or the establishment of a business relationship if a person fails to provide sufficient information to identify the person or about the purpose of the transactions or if the operations of the person involve a higher risk of money laundering or terrorist financing. Also, legislation requires the Company to terminate a continuing contract without the advance notification term if the person fails to submit sufficient information for application of customer due diligence measures.
Under current law the Company has the right, taking account the special requirements and restrictions provided by law, to use the services of a third party under a contract the subject of which is the continuing performance of activities and continued taking of steps required for the provision of (a) service(s) by the Company to its customers and that would normally be performed and taken by the Company itself. For the purposes of this section, third parties include, for instance, agents, subcontractors and other persons to whom the Company transfers the activities relating to the provision of the services provided as a rule by the Company in its economic activities.
If the company does not provide otherwise for a particular user or group of users, user identification is provided by Cryptonomica Ltd., a company registered in England and Wales, Registration # 11331467, via service provided on cryptonomica.net, including online identification and connected notaries.
Under this agreement you, as a user, grant consent to the transfer of your personal data from Cryptonomica Ltd. to the Company.
The user must take into account that, given the legal obligations of the company under the Money Laundering and Terrorist Financing Prevention Act and other relevant laws Company should keep personal information of the users, and such information cannot be removed or deleted by user’s request.
User has legal obligation to inform the Company is, he/she is:
Legislation requires that the Company waives a transaction or the establishment of a business relationship if a person fails to provide sufficient information to identify the person or about the purpose of the transactions or if the operations of the person involve a higher risk of money laundering or terrorist financing. Also, legislation requires the Company to terminate a continuing contract without the advance notification term if the person fails to submit sufficient information for application of customer due diligence measures.
You must be an adult to use our software and service. When accessing or using our software and services, you agree that you will not violate any law, contract, intellectual property or other third-party right or commit a tort, and that you are solely responsible for your conduct while using our software and services. Without limiting the generality of the foregoing, you agree that you will not:
We may, in our sole discretion and without liability to you, with or without prior notice and at any time, modify or discontinue, temporarily or permanently, any portion of our software or services.
Any dispute, controversy or claim arising out of or relating to this agreement, or the breach, termination or invalidity thereof, shall be settled by arbitration in accordance with the Cryptonomica Arbitration Rules in the version in effect at the time of the filing of the claim.
And unless the parties agree otherwise in writing:
Any dispute arising out of or related to this agreement is personal to you and Company and will be resolved solely through individual arbitration and will not be brought as a class arbitration, class action or any other type of representative proceeding. There will be no class arbitration or arbitration in which an individual attempts to resolve a Dispute as a representative of group of individuals. Further, a Dispute cannot be brought as a class or other type of representative action, whether within or outside of arbitration, or on behalf of any other individual or group of individuals.
The Force Majeure (Exemption) clause of the International Chamber of Commerce (ICC Publication No. 421) is hereby incorporated in this contract.
If any term, clause or provision of these Terms is held unlawful, void or unenforceable, then that term, clause or provision will be severable from these Terms and will not affect the validity or enforceability of any remaining part of that term, clause or provision, or any other term, clause or provision of these Terms.
These agreement and terms are not boilerplate. If you disagree with them, believe that any should not apply to you, or wish to negotiate these terms, please contact Etna Development OÜ and immediately stop using software and service. Do not use software and service until you agreed upon this agreement and terms of use.
In case of account suspension/closure arising from fraud investigations, AML investigations and cooperation with law enforcement authorities contact {{supportEmail}}


Brindo asesorías de marketing para marcas incrementando el nivel de ventas de tu negocio con estrategias de Social Selling. Directora Creativa con más de 4 años de experiencia, liderando equipos y desarrollando campañas de marketing.
Internacional Peruano Británico
jul. 2020 – actualidad
Estudio creativo Doble N
jul. 2017 – actualidad
Remax Consultores Select
ene. 2019 – jun. 2019
Ticketgol
jun. 2018 – dic. 2018
Publicidad
Marketing
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.


class: center, middle, inverse, title-slide # Introduction to Sequence QC ## Bioinformatics and Computational Biosciences Branch Seminar at RML ### Poorani Subramanian, Computational Biology Specialist ### 11 September 2019 --- layout: true class: titleandcontent --- ## BCBB Science Support + [bioinformatics.niaid.nih.gov](https://bioinformatics.niaid.nih.gov) + More help email<EMAIL_ADDRESS>![](assets/img/image9.png) --- class: title-slide center middle section-header # Sequencing intro --- ## DNA polymerisation ![](assets/img/image10.png) + In nature, during DNA replication, the purpose of DNA polymerisation is to add the next complementary base to the new strand. + The purpose of sequencing is to **figure out what that next base added is** + **This is where the various sequencing technologies differ** --- ## Basic steps: Sample to data + Protocol depends on sample type and sequencing type. 1. Extract the DNA. 2. Library preparation. + Fragmenting the DNA. + Adding *adapter* sequences to the ends. 3. Template amplication* + Clonal amplification of the fragments to ensure a clear signal. 4. Sequencing* \*3 & 4 take place in the sequencing machine. --- class: title-slide center middle section-header # Sequence data + What it looks like, types, quality --- ## Single End vs Paired End vs Mate-Pair  --- ## Adapters, Primers, Indexes + Reads from a sequencer may have extra sequences on either end that we should remember are there + Indexes are used by the sequencer to separate data into separate sample files – **demultiplex**  --- ## Anatomy of an Illumina Run + What comes out of the sequencer? ![](assets/img/image18.png) --- ## Converting and Demultiplexing + Illumina sequencer can convert & demux itself + [bcl2fastq](https://support.illumina.com/sequencing/sequencing_software/bcl2fastq-conversion-software.html) + Converts BaseCalls to FASTQ + Demultiplexes the data + Reads that it can't figure out goes into files called "Undetermined" + Should check if the Undetermined files are unreasonably Large + Uses SampleSheet.csv to map barcodes to samples + Other tools + Idemp - https://github.com/yhwu/idemp, fastq-pair https://github.com/linsalrob/fastq-pair --- class: title-slide center middle section-header # Files --- ## File Formats + Sequence Data + FASTA/QUAL + FASTQ + FAST5 - nanopore + Older formats – sff + Alignment Data + SAM + BAM + BED --- ## FASTA and/or QUAL + Sequence and quality scores are separate files – old data + Or FASTA only with no quality data available + Pre-processed in some way + Header + Sequence + All on one line + Or it will be truncated – 80-120 characters ![](assets/img/image14.png) --- ## FASTQ - Sequence and quality in single file ``` @M03213:59:000000000-AWR6D:1:1101:12406:1145 1:N:0:NCCTGAGC+NTATTAAG GTGCCAGCAGCCGCGGTAATACGGAGGGTGCGAGCGTTAATCGGAATAACTGGGCGTAAAGGGCACGCAGGCGG + -6,ACGGAEFGGG<<FFG?FC@EF8AFCFGEGGCCCBGGGGGGDGGGGGEEFA<FGCE,EFDCFFFGGGGCCDG ``` ### Header `@<instrument>:<run number>:<flowcell>:<lane>:<tile>:<x-pos>:<y-pos> <read>:<is filtered>:<control number>:<sample number>` - Read identifier is the beginning part (before the space) - The end part (after the space) is used for demuxing or PE information ### Raw sequence - All on one line - no spaces - DNA or RNA, should be one of the [IUPAC characters](https://www.bioinformatics.org/sms/iupac.html). --- ## FASTQ Quality Scores + called **Phred** scores after the inventor **Ph**il Green. ### How are they calculated? 1. Phred score `\(Q\)`: Given `\(p\)`, the probability that the corresponding base call is incorrect, `\(Q = -10\log_{10} p\)`. + 40 is usually highest score – very, very rarely up to 60 2. Add constant: `\(Q+C\)` + usually, `\(C = 33\)` → Phred+33 format is most common (Illumina > 1.8 ~2011) 3. This value, `\(Q+C\)`, is encoded as an [ASCII](https://www.cs.cmu.edu/~pattis/15-1XX/common/handouts/ascii.html) character in the FASTQ file. .pull-left[] .pull-right[] --- ## Example ``` @M03213:59:000000000-AWR6D:1:1101:12406:1145 1:N:0:NCCTGAGC+NTATTAAG GTGCCAGCAGCCGCGGTAATACGGAGGGTGCGAGCGTTAATCGGAATAACTGGGCGTAAAGGGCACGCAGGCGG + -6,ACGGAEFGGG<<FFG?FC@EF8AFCFGEGGCCCBGGGGGGDGGGGGEEFA<FGCE,EFDCFFFGGGGCCDG ``` *Example* First quality character is `-` which is *45* in the ASCII table. `\(Q = 45-33 = 12\)` .pull-left[] .pull-right[] ??? Line 3 is single `+` Phred+33 is Sanger standard. Illumina switched around different standards for a while and settled back to Phred+33. Starting with Illumina 1.3-1.7 used Phred+64. Illumina 1.5-1.7 if quality scores were below Q15 at end of read, were arbitrarily assigned score 2 which is `B`. --- ## Convert from FASTQ to FASTA + FASTX-Toolkit + SRA-toolkit – download data and automatically convert --- ## How to assess data quality? + The sequencing lab runs quality-control tests to ensure that the actual run was successful. + We should run our own QC prior to analysis + We should all be skeptics! To avoid misinterpretation of the data due to unexpected bias + QC measurements can report the following: + Percent GC in sample reads + Presence of overrepresented kmers and sequences such as adapters + Per base quality score + Distribution of nucleotide bases + After mapping reads to a genome, additional test could be run to determine: + Mapping error rate + Percent of possible PCR duplicates (reads with same start and end position in reference genome) + Distribution of insert size (pair ends) --- ## Sequencing QC + **FASTQC:** https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ + http://multiqc.info/ + BaseSpace Tips: https://blog.horizondiscovery.com/diagnostics/the-5-ngs-qc-metrics-you-should-know + Different types of data require different QC metrics + Example: whole genome shotgun vs amplicon --- class: title-slide center middle section-header # Improving Data Quality Trimming and Filtering --- ## Trimming + Adapter/primer trimming + Remove these sequences from the ends of reads + Useful for assembly, amplicon data + Quality Trimming + Remove poor quality sequence from ends of reads + Filter out poor quality reads --- ## Trimming Tools + Cutadapt - https://cutadapt.readthedocs.io/en/stable/guide.html + Trimmomatic - http:// www.usadellab.org/cms/?page=trimmomatic + **BBDuk** - https://jgi.doe.gov/data-and-tools/bbtools/bb-tools-user-guide/bbduk-guide/ --- ## Read Merging + For paired end data where R1 and R2 are expected to overlap + Builds/assembles consensus sequence from each pair of reads. Uses ^^^ information to produce sequence that, in theory, should have fewer errors than each read separately. ### Read Merging Tools + **FLASh** - https://ccb.jhu.edu/software/FLASH/ + PEAR - https://sco.h-its.org/exelixis/web/software/pear/ + bbmerge - https://jgi.doe.gov/data-and-tools/bbtools/bb-tools-user-guide/bbmerge-guide/ + Comparison of read mergers - Viana, Samuel, et al. Evaluating Paired-End Read Mergers. doi: [10.6084/m9.figshare.3383185](https://doi.org/10.6084/m9.figshare.3383185). Bioinformatics Open Days, Braga, Portugal. --- class: title-slide center middle section-header # MAPPING --- ## Why do you map reads to a reference? + Reference guided assembly + DNA- seq – genome assembly + RNA- seq – transcriptome assembly + Variant calling + RNA- seq gene expression + Removing host background/contaminants --- ## Reference Genomes + Where to get them? + Assemble it yourself + Download it from NCBI – either by searching or by citation + Assess their quality + Very few genomes are assembled with care and finished! We need to keep our skepticism! + Number of contigs vs number of chromosomes + Contig lengths + especially at then end of the genome fasta file --- ## Alignment tools **Short Read** + **bowtie2** - http://bowtie-bio.sourceforge.net/bowtie2/index.shtml + bwa - http://bio-bwa.sourceforge.net/ **RNA-seq** + HiSAT - http://www.ccb.jhu.edu/software/hisat/manual.shtml + STAR - https://github.com/alexdobin/STAR **Long Reads (and short reads)** + minimap2 - https://github.com/lh3/minimap2 --- ## Alignment File Formats + SAM - Sequence Alignment/Map format + BAM – SAM file compressed using the BGZF + SAM/BAM specification - https://samtools.github.io/hts-specs/SAMv1.pdf + BED - used to report features - https://bedtools.readthedocs.io/en/latest/content/general-usage.html?highlight=bed%20format + gff , gbk , gbff , gff3 --- ## SAM Format + Tab separated + Headers begin with "@" + First line is always @HD + Reference lines are @SQ + FLAGS?? https://broadinstitute.github.io/picard/explain-flags.html .pull-left-small[![](assets/img/samalignment.png)] .pull-right-big[![](assets/img/samfile.png)] ![sam file format](assets/img/samformat.png) ??? **CIGAR string** Operator | Description -------- | ----------- D | Deletion; the nucleotide is present in the reference but not in the read H | Hard Clipping; the clipped nucleotides are not present in the read. I | Insertion; the nucleotide is present in the read but not in the rference. M | Match; can be either an alignment match or mismatch. The nucleotide is present in the reference. N | Skipped region; a region of nucleotides is not present in the read P | Padding; padded area in the read and not in the reference S | Soft Clipping; the clipped nucleotides are present in the read X | Read Mismatch; the nucleotide is present in the reference = | Read Match; the nucleotide is present in the reference --- ## Alignment Viewing + samtools - http://www.htslib.org/ + bedtools - https://bedtools.readthedocs.io/en/latest/ + picard - https://broadinstitute.github.io/picard/ + igv - http://software.broadinstitute.org/software/igv/ + UCSC Genome Browser - https://genome.ucsc.edu/index.html + **Tablet** - https://ics.hutton.ac.uk/tablet/ + Geneious --- class: title-slide middle section-header # Appendix 1: Short history of sequencing + Heather, J. M., & Chain, B. (2016). The sequence of sequencers: The history of sequencing DNA. *Genomics*, *107*(1), 1–8. doi: [10.1016/j.ygeno.2015.11.003](https://dx.doi.org/10.1016/j.ygeno.2015.11.003) + Ambardar, S., Gupta, R., Trakroo, D., Lal, R., & Vakhlu, J. (2016). High Throughput Sequencing: An Overview of Sequencing Chemistry. *Indian Journal of Microbiology*, 56(4), 394–404. doi: [10.1007/s12088-016-0606-4](https://doi.org/10.1007/s12088-016-0606-4) --- ## Short History of Sequencing 1 + First generation + Coulson & Sanger 'plus and minus' (1975) – first DNA genome sequenced *ϕ* X174 bacteriophage + Maxam and Gilbert chemical cleavage (1977) + Sanger sequencing – chain-termination (1977) ![](assets/img/image11.png) --- ## Short History of Sequencing 2 **Next-generation (NGS) – short read** + 454 Life Sciences – pyrosequencing (now defunct) + Parallelization of the sequencing reactions + First high-throughput sequencing machine + **Solexa** **/Illumina** – SBS: sequencing by synthesis + Fluorescent reversible-terminator + Read length ~ 150-300bp + Other methods – ABI SOLiD (defunct) and Ion Torrent .pull-left[![](assets/img/image12.jpg)] .pull-right[![](assets/img/image13.png)] ??? Pyrosequencing - infer the nucleotides from light production of enzyme luciferase. First HTS machine was the GS 20 Technically, Sanger and pyrosequencing are also methods of sequencing by synthesis (using dna polymer ase to add nucleotides to the complementary strand of the template, but that's what solexa called the ir method Amplification methods differ 454 DNA molecules being clonally amplified in an emulsion PCR (emPCR). Adapter ligation and PCR produces DNA libraries with appropriate 5′ and 3′ ends, which can then be made single stranded and immobilized onto individual suitably oligonucleotide-tagged microbeads. Bead-DNA conjugates can then be emulsifi ed using aqueous amplification reagents in oil, ideally producing emulsion droplets containing only o ne bead (illustrated in the two leftmost droplets, with different molecules indicated in different co lours). Clonal amplification then occurs during the emPCR as each template DNA is physically separate from all others, with daughter molecules remaining bound to the microbeads. This is the conceptual b asis underlying sequencing in 454, Ion Torrent and polony sequencing protocols. Illumina – bridge amplification --- ## Short History of Sequencing 3 + Third generation - long read + Sometimes characterized by not needing amplification – potentially sequencing entire single molecules (SMS) + PacBio – SMRT + Fast + ~10kb + Error rate only a little higher than short read + Oxford Nanopore – ION + Faster and cheaper + Error rates are higher than for short reads + 5-10kb + 10X Genomics + New methods of barcodes/indexing


{% load static %} {% load staticfiles pipeline json_script_escape %}
Cash balance at the end of the financial year.
Months of operating expenses can be paid for with the cash available.
Difference between budgeted operating expenditure and what was actually spent.
Difference between budgeted capital expenditure and what was actually spent.
Spending on Repairs and Maintenance as a percentage of Property, Plant and Equipment.
Unauthorised, Irregular, Fruitless and Wasteful Expenditure as a percentage of operating expenditure.
The value of a municipality's short-term assets as a multiple of its short-term liabilities.
The municipality's immediate ability to pay its current liabilities.
The percentage of new revenue (generated within the financial year) that a municipality actually collects.
Total income for this municipality
From residents paying for water & electricity, rates, licenses & fines, and from interest and investments.
From the Equitable Share of taxes, and Grants from national and provincial Government.
Total locally-generated income
Total transfers to this municipality
Total income from conditional grants from national departments for this municipality.
Total transfers from provincial government to this municipality.
How much income is planned for, and how much is actually received?
Which sources provided more or less income than planned?
Staff salaries and wages as a percentage of operating expenditure.
Costs of contractor services as a percentage of operating expenditure.
Municipalities spend money on providing services and maintaining facilities for their residents.
How much did the municipality plan on spending, and how much did they actually spend?
What did the municipality spend more on, and where did they spend less than planned?
In order to compare the municipal bills of different household types, three example households have been defined. These households differ in the ways that generally affect household bills: municipal home valuation, monthly household water usage, electricity usage, and whether the household qualifies for indigent status.
Each municipality calculates how their tariff system would apply to these example households each year to come up with these example household bills for comparison over time, between households, and between municipalities each year.
All municipalities must provide Free Basic Services, specifically 50kWh of electricity and 6kl water, at no cost to households registered as indigent with the municipality. The Equitable Share transfer to municipalities guarantees that municipalities have funds to provide these services.
This household represents a family who qualify for indigent status after registering based on low income. They have part of their monthly bill covered as Free Basic Services. Individual municipalities may choose to further subsidise their bill.
Indigent status:
Yes
Property value:
R350k
Electricity usage:
350kWh
Water usage:
20kl
This household represents a small household who live in a home valued between R500,000 and R700,000 and do not qualify for indigent status.
They consume 25kl of water and 500kWh of electricity per month.
Indigent status:
No
Property value:
R500 - R700k
Electricity usage:
500 kWh
Water usage:
25kl
This household represents a large household who do not qualify for indigent status and live in a home valued R700,000.
They consume 30kl of water and 1000kWh of electricity each month.
Indigent status:
No
Property value:
R700k
Electricity usage:
1000kWh
Water usage:
30kl
Please note: These example households were last updated on 17 April 2009. They are in the process of being updated to match more recent property values. However, they are still useful for comparing on the basis of the household attributes even though the name “middle income” might not apply to this house valuation any more.
Average increase over the financial years
Average increase over the financial years
Average increase over the financial years


Register
First Name:
Last Name:
male
female
Other
Email:
password:
Birthday
Month:
Month
Jan
Feb
Mar
Apr
day:
Day
1
2
3
4
year:
Year
1992
1993
1994
1995
I agree to the terms and conditions


ELATHON
Home
Random Generator
Crypted Notepad
Subjects Notes
Account
NAME
Number of Generations *
Number of Groups *
Duplicates
Generate
Name will be here


if else
Basic syntax
if(condition)
statement
In the example below, if number is not equal to 100, the statement is ignored
if( number == 100)
cout << "number is 100";
if you want to include more than 1 statement, use the scope operators {} to form a block/scope
if( number == 100){
cout << "number is 100"; // first statement
cout << "This is another statement" ; // another statement
}
indentation and line breaks has no effect so long as statements are properly terminated, you can write like this:
if(number == 100){cout << "number is 100"; cout << "This is another statement";}
use else for alternative statements
if(condition)
statement
else
alternative statement
example
if( number == 100 ){
printf("it is 100");
}else{
printf("it is not 100");
}
Several conditions can also be tested using else if
if( age >= 7) // first condition
{
cout << "A kid" << endl;
}else if((age >= 8) || (age <= 17)) // another condition
{
cout << "A teen" << endl;
}else if((age >=18 ) || (age <= 30)) // another condition
{
cout << "Young Adult" << endl;
}else
{
cout << "Adult" << endl;
}
You can also nest condtions inside another conditions
if(gender == "boy"){
//check if old or young
if(age < 18){
cout << "You are a young boy";
}else{
cout << "You are an old boy";
}
}else{
//check if old or young
if(age < 18){
cout << "You are a young girl";
}else{
cout << "You are an old girl";
}
}
Ambiguous dangling else
if (nX > 10)
if (nX < 20)
cout << nX << "is between 10 and 20" << endl;
else
cout << nX << "is greater than 20" << endl;
Ternary operation is only applicable for simple condition. 1 statement per block
if (score < 75){
printf("You failed");
}else{
printf("You passed");
}
The above statement can also be written like this (in ternary operation)
(score < 75 ) ? printf("You failed") : printf("You passed");
//since it is an operation, you can store result to a variable
string result;
result = (score < 75 ) ? printf("You failed") : printf("You passed");
/


---
layout: post
title: 2.807 nautical miles
date: '2006-04-04T00:21:00.000+02:00'
author: Steven Van Acker
tags:
modified_time: '2008-01-16T09:39:08.756+01:00'
blogger_id: tag:blogger.com,1999:blog-5513234137363262204.post-1102240603425045973
blogger_orig_url: http://www.singularity.be/2006/04/2807-nautical-miles.html
---
that's 5.2 kilometers or 13 laps. I was only going to do 7, maybe 8.
But I'm glad I pushed myself alot further.
If I keep it up like this, I can run the student marathon in october and finally EARN a t-shirt instead of getting one for free as compensation for computer and network support at the event.


Add text here about aardvark
Add text here about crocodile
Add text here about racoon
This is a nice little index file. It calls in five different files to support Bootstrap, JQuery, and your custom css and js.


{% extends 'mainapp/base.html' %} {% load staticfiles %} {% block title %} {{ review_name }} {% endblock %} {% block main_block %} {% if working and not deleted %}
Description: {{ review_description }}
Start Date: {{ review_date_started }}
Abstract Pool: {{ pool_size }}
Document Pool: {{ abstracts_judged }}
Final Pool: {{ document_judged }}


Performs variable substitution in string val from the values of keys found in props.
The result of the substitutions.
The variable substitution delimiters are ${ and }.
For example, if props contains key=value
, then the call
[C#]
string s = OptionConverter.SubstituteVariables("Value of key is ${key}.");
will set the variable s
to "Value of key is value.".
If no value could be found for the specified key, then substitution defaults to an empty string.
For example, if system properties contains no value for the key "nonExistentKey", then the call
[C#]
string s = OptionConverter.SubstituteVariables("Value of nonExistentKey is [${nonExistentKey}]");
will set s to "Value of nonExistentKey is []".
An Exception is thrown if value contains a start delimiter "${" which is not balanced by a stop delimiter "}".
OptionConverter Class | log4net.Util Namespace


CodeFlower Source code visualization Hadoop Releases
This experiment visualizes source repositories using an interactive tree. Each disc represents a file, with a radius proportional to the number of chosen metric (Code Churn, Complexity or LoC). All rendering is done client-side, in JavaScript. Try hovering on nodes to see the loc number, clicking on directory nodes to fold them, dragging nodes to rearrange the layout, and changing project to see different tree structures.
Input data format
The jsonData
format taken as input to update()
is extremely simple. It's a JavaScript object representing a file tree structure. Each node must have a name
(the file or directory name), leaf nodes must have a size
(the number of lines of code or the file), and directory nodes must have a children
property containing an array of nodes. As an example, here is the input for the currently displayed CodeFlower. You can modify it at will and click the update button to see the effect of your changes on the CodeFlower.


index
module components.merging.sputlink.objects
Constraint
Edge
Node
class Constraint
Inherits from: object
An object representing the constraint on an edge.
Instance variables:
node1 - an eiid or tid
node2 - an eiid or tid
relset - a string
edge - the Edge the constraint is expressed on
cycle - an integer, the closure cycle in which the constraint was created
source -
graph -
history -
Public Functions
__init__(self, id1, rels, id2, cycle=None, source=None, history=None)
__str__(self)
get_node1(self)
Retrieve the node1 object from the edge.
get_node2(self)
Retrieve the node2 object from the edge.
has_normalized_relation(self)
Return True if the relation is one of the normalized ones, return
False otherwise.
has_simple_relation(self)
Return True if the relation is one of the non-disjunctive ones,
return False otherwise.
history_string(self)
is_disjunction(self)
Return True if the relation set is a disjunction, return False
otherwise.
is_garbage(self)
Return True if the constraint is useless and potentially damaging to the
algorithm. We don't like constraints like [e1 < e1].
pp_history(self, indent='')
class Edge
Inherits from: object
Implements the edges of the graph.
Instance variables:
id - the node identifier
node1 - an eiid, tid or other identifier
node2 - an eiid, tid or other identifier
graph - the Graph the edge is in
constraint - None or the current Constraint on the edge
relset - None or the value of constraint.relset
constraints - history of Constraints, a list
Public Functions
__init__(self, n1, n2, graph)
Initialize from two node identifiers and the graph.
__str__(self)
add_constraint(self, constraint)
Set the constaint attribute and append to the constraints
attribute.
get_node1(self)
retrun the Node object for node1.
get_node2(self)
retrun the Node object for node2.
is_derived(self)
Returns True if the constraint on the edge was derived by closure.
remove_constraint(self)
Remove the constraint from the edge. Also updates the edges_in and
edges_out attributes on the source and target node.
class Node
Inherits from: object
Implements the node objects of the graph.
Instance variables:
id - an eiid, tid or other identifier
text - string from the document or empty string
source - a Tag or an identifier
source-type - 'TIMEX3', 'EVENT', or 'IDENTIFIER'
edges_in - a hash indexed on node ids
edges_out - a hash indexed on node ids
The source and source-type attributes encode what element or elements the
Node was created from. If source-type is TIMEX or EVENT then source is a
single tag.
But if source-type is 'class', then the Node implements an equivalence set
of time expressions and events, that is, a set defined by the = interval
relation. The source attribute than is a list of tuples, where each tuple
contains (i) a Tag, (ii) a pair of interval relation and TimeML relation,
and (iii) another XmlDocElement or pair of XmlDocElements. The very first
Node in the entire list is the class representative. (TODO: is this still
relevant?)
Public Functions
__init__(self, source, identifier, source_type, text)
Initialize from a timex, an event or simply an identifier, using tid,
eiid or the identifier for the node identifier. Set edges_in and
edges_out to the empty hash.
__str__(self)
Returns string in "<Node id text>" format.
pretty_print(self)
Print the node with its edges_in and edges_out attributes to standard
output.


Next: Argument Conventions of Some Reader Functions, Previous: Dynamic Control of the Lisp Reader, Up: Reader Concepts
The readtable case of the current readtable affects the Lisp reader in the following ways:
When the readtable case is :upcase, unescaped constituent characters are converted to uppercase, as specified in Reader Algorithm.
When the readtable case is :downcase, unescaped constituent characters are converted to lowercase.
When the readtable case is :preserve, the case of all characters remains unchanged.
When the readtable case is :invert, then if all of the unescaped letters in the extended token are of the same case, those (unescaped) letters are converted to the opposite case.
| • Examples of Effect of Readtable Case on the Lisp Reader: |


Project : Velvet Hammer Agency : Suspended Animations Role : Art Director & Designer Date : 2015 Vist the website
House of Borel


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I had always heard that Wellbutrin was not a fun trip, but still decided to give it a try myself. So at about 6pm I ingested 5 200mg pills. After about 30 minutes, I started to feel light, a quite comfortable feeling, so I figured 2 more would kick it in.
An hour after ingesting my 6th and 7th Wellbutrin, I started to tremble uncontrollably, and my heart rate quickened. Out of nowhere I became overwhelmingly paranoid, anxious, and all I could do was lay in bed and tremble.
As time passed, hallucinations started, which would have seemed pretty cool aside from the fact that I was extremely paranoid and nervous. And once again my heart quickened. I tried to ignore it and go to sleep, but when I'd roll over and close my eyes, I would hear something scratching on my bed... this and the feeling that my heart was going to jump out of my chest kept me up.
2:00 am - By this point..  I could see my heart beating through my chest, it has never been this bad before, even after running or weightlifting. I went back and forth for 2 hours wondering if it was worth waking up the parental units and telling them I had an overdose and needed to go to the hospital.
4:00am - At this time, I was so unbelievably scared for my life, that I knew I had to go tell them. So I woke them up.. tried my best to stay calm while explaining to my mother what I had taken and how many. So we got into the car, and she rushed me to the nearest Emergency room, and upon getting there, my blood pressure was 186 over 95, and my resting pulse was over 150... and for a 16 year old, 140lb, mediocre conditioned male, that is not good at all.
They took me to a hospital bed, and that's where I spent the next 4 hours or so. I spent that entire morning laying in a hospital bed, connected to an IV and having doctors injecting me with medicine to try and slow my heart down... They said they were going to release my when my pulse went down below 110, but I was released with a pulse of 125-130, which frightened my mother. I spent the rest of that day laying down, drinking alot of water, and pissing alot to get that stuff out of my system.
Here I am now, 2 days after my overdose, and my heart rate is still a little fast, and blood pressure still a little high. This was without doubt the scariest ordeal of my life, I was almost certain I was going to die.
For anyone who is considering using this drug recreationally, I STRONGLY recommend that they do NOT. Bupropion provides a horrendous trip, filled with frightening hallucinations and tremors/nervousness one does NOT want to experience... and it is quite easy to overdose... The doctors said I got lucky... don't make the same mistake I did.
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.


Block Atlas
Space used in blocks by standard transaction normalized fees
Horizontal: percent of space used by fee level. Vertical: fee bid level depth. Fees represent median transaction size total cost.
Block 326002
12% Full
96% Static Fee
$0.00
$0.00
$0.01
$0.02
$0.03
$0.04
$0.05
Block 326001
Quick Block
3% Full
$0.00
$0.00
Block 326000
50% Full
88% Static Fee
$0.00
$0.00
$0.01
$0.02
$0.03
$0.04
$0.05
$0.08


Stylization HTML5 Progress element
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You only need to copy css for progress element, without div's code.


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This project is an attempt to mimic the chrome.i18n.getMessage
function for testing. It's easy to stub out getMessage
with something like jest.fn
but we actually want to minic the implementation so we can verify tokens.
Install the dependency
yarn install chrome-extension-i18n-shim
In a Jest setup file (when used in conjunction with jest-webextension-mock):
// jest.setup.js
import { setupGetMessageSim } from 'chrome-extension-i18n-shim';
// We want to load our default translations into our tests. See: https://twitter.com/kentcdodds/status/1181591171518230528
import * as enMessages from './_locales/en/messages.json';
const getMessage = setupGetMessageSim(enMessages);
global.chrome = {
...global.chrome,
i18n: {
...global.chrome.i18n,
getMessage: getMessage,
},
};
Below is a list of commands you will probably find useful.
npm start
or yarn start
Runs the project in development/watch mode. Your project will be rebuilt upon changes. TSDX has a special logger for you convenience. Error messages are pretty printed and formatted for compatibility VS Code's Problems tab.
Your library will be rebuilt if you make edits.
npm run build
or yarn build
Bundles the package to the dist
folder.
The package is optimized and bundled with Rollup into multiple formats (CommonJS, UMD, and ES Module).
npm test
or yarn test
Runs the test watcher (Jest) in an interactive mode. By default, runs tests related to files changed since the last commit.
Generated using TypeDoc


mangle/3
mangle/3 Ė destructively modify a structure
FORMS
mangle(Nth,Structure,NewArg)
DESCRIPTION
mangle/3 destructively modifies an argument of a compound term in a spirit
similar to Lispís rplaca and rplacd. Structure must be instantiated to a compound term with at least N arguments. The Nth argument of Structure will become NewArg. Lists are considered to be structures of arity two.
Modifications made to a structure by mangle/3 will survive failure and backtracking.
Even though mangle/3 implements destructive assignment in Prolog, it is not necessarily more
efficient than copying a term. This is due to the extensive cleanup operation which
ensures that the effects of a mangle/3 persist across failure.
EXAMPLES
?- Victim = doNot(fold,staple,mutilate), mangle(2,Victim,spindle).
Victim = doNot(fold,spindle,mutilate)
yes.
SEE ALSO
arg/3.


4. Angular Components
Created Saturday 10 July 2021
Angular is highly modular and encourages you to think of your app as a loosely-linked collection of different independent components.
In the design phase, you are expected to decompose your app into atomic components, and then define a logical flow that ties them together.
The only page loaded by the angular application is index.html.
Along with this, some JS is injected by default. This JS is what manipulates the content of the page based on logic you have defined already.
<app-root></app-root>
App root is a custom HTML tag, obviously. This refers to a very particular component in the project. At the time of creating a new project, only a single component is created called the AppComponent.
Each Angular component has:
- An HTML template that declares what renders on the page
- A Typescript class that defines behavior
- A CSS selector that defines how the component is used in a template
- Optionally, CSS styles applied to the template
What does ng serve do?
When ng serve is called, it:
- Launches a live server on [localhost](http://localhost) to show changes automatically as they happen.
- Creates "script bundles" of JavaScript that are injected into your basic HTML file
- All execution starts at main.ts
main.ts description:
platformBrowserDynamic().bootstrapModule(AppModule)
bootstrapModule basically allows us to inject or instantiate something called AppModule within our application.
AppModule refers to app.module.ts
Here the bootstrap attribute will consist of all the elements that your application will be expected to know about when showing the index.html file.
Top-Down execution:
index.html
main.ts > bootstrapModule > AppModule.bootstrap > AppComponent > find template, manipulate template, render output in index.
The root component or AppComponent is the base of the entire application and will encapsulate any other components we make.
Only AppComponent is typically bootstrapped on application start and included in index.html. Everything else is added to app.component.html and lower level components.
To create a new component, we type:
ng generate component <component-name> OR ng g c <component-name>
And then we can refer to it in any other component using the defined selector.
Backlinks: Angular