|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Object org.apache.spark.sql.types.DataType org.apache.spark.sql.types.UserDefinedType<UserType>
public abstract class UserDefinedType<UserType>
::DeveloperApi:: The data type for User Defined Types (UDTs).
This interface allows a user to make their own classes more interoperable with SparkSQL;
e.g., by creating a UserDefinedType
for a class X, it becomes possible to create
a DataFrame
which has class X in the schema.
For SparkSQL to recognize UDTs, the UDT must be annotated with
SQLUserDefinedType
.
The conversion via serialize
occurs when instantiating a DataFrame
from another RDD.
The conversion via deserialize
occurs when reading from a DataFrame
.
| Constructor Summary | |
|---|---|
UserDefinedType()
|
| Method Summary | |
|---|---|
int |
defaultSize()
The default size of a value of the UserDefinedType is 4096 bytes. |
abstract UserType |
deserialize(Object datum)
Convert a SQL datum to the user type |
String |
pyUDT()
Paired Python UDT class, if exists. |
abstract Object |
serialize(Object obj)
Convert the user type to a SQL datum |
abstract DataType |
sqlType()
Underlying storage type for this UDT |
abstract Class<UserType> |
userClass()
Class object for the UserType |
| Methods inherited from class org.apache.spark.sql.types.DataType |
|---|
fromCaseClassString, fromJson, json, prettyJson, simpleString, typeName |
| Methods inherited from class Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public UserDefinedType()
| Method Detail |
|---|
public abstract DataType sqlType()
public String pyUDT()
public abstract Object serialize(Object obj)
TODO: Can we make this take obj: UserType? The issue is in CatalystTypeConverters.convertToCatalyst, where we need to convert Any to UserType.
obj
- (undocumented)
public abstract UserType deserialize(Object datum)
public abstract Class<UserType> userClass()
public int defaultSize()
defaultSize
in class DataType
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


A friend of mine tried the extraction from the file FAQ-MorningGlory-Part1 and had absolutely no results. No nausea, no effects, no nothing. He got LBWR seeds instead of HBWR because at the time they were cheaper and according to the faq they had the same percentage of alkaloids. He prepared the seed material using lighter fluid and then let the stuff sit in the ethanol for twice the recommended time (8 days). He got up on Sat morning at dawn with all of his trippy toys prepared the night before and was real pissed that nothing happened.  He's a bit excitable at times (-:
So anyway what's the deal? If you tried the extraction and it worked for you please post here or email me. If you tried the extraction and it *didn't* work for you please post here or email me. I will summarize to the net if I get a lot of email responses.  I drank straight everclear in highschool once and thought I would die) but I digress.
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.


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{% if not isDrawn %}
Zoom in to your farm using the map on the left. Then outline the field or farm area of pollinator-dependent crop(s) that you would like to evaluate. Only one area of 400 acres or less can be drawn at a time. Fields or farms should not be smaller than 100 ft × 100 ft.
{% endif %} {% if isDrawn %}Does this selected area look correct? Are there pollinator-dependent crops in the selected area? If yes, click Confirm to continue. If you would like to change the selected area, click Redraw Area.
Confirm {% endif %}


E-commerce for the Modern Web
Vendure is a new e-commerce framework built for the developers who are building the modern web.
{{ partial "docs/html-head" . }} {{ template "_internal/opengraph.html" . }} {{ template "_internal/twitter_cards.html" . }}
{{ partial "top-bar" (dict "isLandingPage" true) }} {{ partial "intro" }}Vendure is a new e-commerce framework built for the developers who are building the modern web.
Vendure is a headless framework, meaning that it delivers content through its GraphQL API, leaving you free to implement your store-front applications in the technologies of your choice.
Vendure makes developer productivity a top priority. The framework is written in TypeScript and is built on the npm ecosystem.
The combination of TypeScript and GraphQL provides end-to-end type safety.
Vendure is available under the MIT license.
All development of the core framework is being done in the open on GitHub.
With Vendure you free to choose the front-end technology you know best.
You and your team have expertise. Use it to rapidly build the storefront your clients have dreamed of.


Elpusk card reader web mapper
the supported device : lpu237, lpu-207, lpu208
device
loading system parameters :
the setting file :
reload system parameter from device :
updating firmware of system :
the rom file :
If the temp-rom file of session is existed, remove it.
system
Please connects a device.
ISO1 track
Please connects a device.
ISO2 track
Please connects a device.
ISO3 track
Please connects a device.


Not satisfied with your results? Try it again!
{{drink.name}}
Glass
{{drink.glass}}
Category
{{drink.category}}
Ingredients
{{ingredient.ingredient}} {{ingredient.special}} {{$last ? '' : ', '}}
Garnish
{{drink.garnish}}
Preparation
{{drink.preparation}}


| Property Name | Size | View / Edit |
|---|---|---|
| {{property.property_name}} | {{property.property_size}} |
| Week | Season | Module | Price | Arrival Date | Departure Date | Availability | Select Week |
|---|---|---|---|---|---|---|---|
| {{week.week}} | {{week.season}} | {{week.module}} | R {{week.price}} | {{week.a_date}} | {{week.d_date}} | week {{week.week}} |


(S/o Mrs. Rama & Mr. Jagannadha Rao)
(D/o Mrs. Satya & Mr. Diwakar)
Your are cordially invited on
At SriVenkateshwaraSwamy KalyanaMandapam, Srinagar Colony.
What we want most for our wedding is to have our friends and family there to celebrate the occasion with us. If you would like to get us something, w’d love that too.


 Communications can come in many forms including artwork, body language, spoken language, basically, all forms of message relaying.
Emotions are a state of mind such as happy, sad, angry etc, when we talk about emotions on a deeper level we are referring to why a person is communicating a particular emotion. An example of deeper level emotion is “hangry” which is a brilliant word that means a person is communicating anger because they are irritable due to hunger. Basic emotional intelligence is often referred to as maturity as the more exposure you have to human emotions and culture the better you get at understanding the reasoning behind why people may be communicating that particular emotion at that particular time. Going beyond your unsual daily social interactions and exposing yourself to different cultures is also a known way to increase your emtoional intelligence as your knowledge of different cultures increases.
Emotional Intelligence is also a person understating their own emotions and how they can use them to help themselves and communicate with other people. Self reflection is a way of reliving your experience's to understand who you are and how you have responed in the past and use that information in future.
IQ, or intelligence quotient is a measure of a person’s knowledge and problem-solving abilities. IQ has been quantified as a number because of the popular IQ tests invented in the 1900’s. EQ and IQ are both a measure of a person’s ability to interpret and respond to communications. IQ measures a person’s analytical processing speed and it does this by asking a person to interpret a problem and response to it correctly as fast as possible. EQ is a measure of a person’s ability to interpret another person’s emotional state of mind as well as their own emotional state of mind and respond as they see fit.
Developing emotional intelligence is an important part of life as it helps you communicate with other people in a deeper more meaningful way which helps build deeper connections.
Forming deeper connections with others allows you to work better as a team and in a team environment. There is always going to be conflict when humans work together as we all interpret communications differently but having a higher emotional intelligence will allow people to look past surface emotional responses during times of conflict and return to working as a team.
Not only is emotional intelligence important for team projects but its also important for your own wellbeing as the more you understand yourself and your emotions the more likely you are to achieve your own goals such as happiness.


In java, an int (integer variable), is any whole number with
a maximum value of 2,147,483,648 – that doesn't include an L, as a suffix.
In other words, any int thats written in source code, that's greater than
2,147,483,648
(e.g. 3,000,000,000) must be immediately followed by an "L", or else – a compiler error will result.
For example, although the value being assigned to the long (integer variable)
a at line 3, is far less than the
maximum allowed value of a long (integer variable), that value
(9876543210)
is greater than the allowable value of an int variable type
(it's implied type), to which it is evaluated – before the assignment takes place
( i.e. the lack of
an L after an integer value always implies that it's type
is int ).
As a result, because the value being assigned is greater than that allowed for an int type,
this segment of code won't even compile.


12 OptimizationThe contents of this section currently describes deprecated classes. Please refer to the new API description. Least squares optimizers are not in this package anymore, they have been moved in a dedicated least-squares sub-package described in the least squares section. 12.1 OverviewThe optimization package provides algorithms to optimize (i.e. either minimize or maximize) some objective or cost function. The package is split in several sub-packages dedicated to different kind of functions or algorithms.
The top level optimization package provides common interfaces for the optimization algorithms provided in sub-packages. The main interfaces defines defines optimizers and convergence checkers. The functions that are optimized by the algorithms provided by this package and its sub-packages are a subset of the one defined in the analysis package, namely the real and vector valued functions. These functions are called objective function here. When the goal is to minimize, the functions are often called cost function, this name is not used in this package. The type of goal, i.e. minimization or maximization, is defined by the enumerated GoalType which has only two values: MAXIMIZE and MINIMIZE. Optimizers are the algorithms that will either minimize or maximize, the objective function by changing its input variables set until an optimal set is found. There are only four interfaces defining the common behavior of optimizers, one for each supported type of objective function:
Despite there are only four types of supported optimizers, it is possible to optimize a transform a non-differentiable multivariate vectorial function by converting it to a non-differentiable multivariate real function thanks to the LeastSquaresConverter helper class. The transformed function can be optimized using any implementation of the MultivariateOptimizer interface. For each of the four types of supported optimizers, there is a special implementation which wraps a classical optimizer in order to add it a multi-start feature. This feature call the underlying optimizer several times in sequence with different starting points and returns the best optimum found or all optima if desired. This is a classical way to prevent being trapped into a local extremum when looking for a global one. 12.2 Univariate FunctionsA UnivariateOptimizer is used to find the minimal values of a univariate real-valued function f. These algorithms usage is very similar to root-finding algorithms usage explained in the analysis package. The main difference is that the solve methods in root finding algorithms is replaced by optimize methods. 12.3 Linear ProgrammingThis package provides an implementation of George Dantzig's simplex algorithm for solving linear optimization problems with linear equality and inequality constraints. 12.4 Direct MethodsDirect search methods only use cost function values, they don't need derivatives and don't either try to compute approximation of the derivatives. According to a 1996 paper by Margaret H. Wright (Direct Search Methods: Once Scorned, Now Respectable), they are used when either the computation of the derivative is impossible (noisy functions, unpredictable discontinuities) or difficult (complexity, computation cost). In the first cases, rather than an optimum, a not too bad point is desired. In the latter cases, an optimum is desired but cannot be reasonably found. In all cases direct search methods can be useful. Simplex-based direct search methods are based on comparison of the cost function values at the vertices of a simplex (which is a set of n+1 points in dimension n) that is updated by the algorithms steps. The instances can be built either in single-start or in multi-start mode. Multi-start is a traditional way to try to avoid being trapped in a local minimum and miss the global minimum of a function. It can also be used to verify the convergence of an algorithm. In multi-start mode, the minimizesmethod returns the best minimum found after all starts, and the etMinima method can be used to retrieve all minima from all starts (including the one already provided by the minimizes method). The direct package provides four solvers:
The first two simplex-based methods do not handle simple bounds constraints by themselves. However there are two adapters( MultivariateFunctionMappingAdapter and MultivariateFunctionPenaltyAdapter) that can be used to wrap the user function in such a way the wrapped function is unbounded and can be used with these optimizers, despite the fact the underlying function is still bounded and will be called only with feasible points that fulfill the constraints. Note however that using these adapters are only a poor man solutions to simple bounds optimization constraints. Better solutions are to use an optimizer that directly supports simple bounds. Some caveats of the mapping adapter solution are that
The last methods do handle simple bounds constraints directly, so the adapters are not needed with them. 12.5 General CaseThe general package deals with non-linear vectorial optimization problems when the partial derivatives of the objective function are available. One important class of estimation problems is weighted least squares problems. They basically consist in finding the values for some parameters pk such that a cost function J = sum(wi(mesi - modi)2) is minimized. The various (targeti - modeli(pk)) terms are called residuals. They represent the deviation between a set of target values targeti and theoretical values computed from models modeli depending on free parameters pk. The wi factors are weights. One classical use case is when the target values are experimental observations or measurements. Solving a least-squares problem is finding the free parameters pk of the theoretical models such that they are close to the target values, i.e. when the residual are small. Two optimizers are available in the general package, both devoted to least-squares problems. The first one is based on the Gauss-Newton method. The second one is the Levenberg-Marquardt method. In order to solve a vectorial optimization problem, the user must provide it as an object implementing the DifferentiableMultivariateVectorFunction interface. The object will be provided to the estimate method of the optimizer, along with the target and weight arrays, thus allowing the optimizer to compute the residuals at will. The last parameter to the estimate method is the point from which the optimizer will start its search for the optimal point.
In addition to least squares solving, the NonLinearConjugateGradientOptimizer class provides a non-linear conjugate gradient algorithm to optimize DifferentiableMultivariateFunction. Both the Fletcher-Reeves and the Polak-Ribière search direction update methods are supported. It is also possible to set up a preconditioner or to change the line-search algorithm of the inner loop if desired (the default one is a Brent solver). The PowellOptimizer provides an optimization method for non-differentiable functions. |


josiahwaikari
About
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Kia ora, My name is Josiah
I am pursuing an interst of mine in Web Development


#include <place.h>
◆ Place() [1/2]
Creates a Place object with default attributes.
◆ Place() [2/2]
| Place::Place |
( |
const int |
place_ID, |
|
|
const double |
xi, |
|
|
const double |
yi, |
|
|
const double |
severity_cor, |
|
|
const double |
beta |
|
) |
| |
|
inline |
Creates a Place object.
Place with custom ID, location, and infection parameters during creation of agents
- Parameters
-
| place_ID | - ID of the place |
| xi | - x coordinate of the place |
| yi | - y coordinate of the place |
| severity_cor | - severity correction for symptomatic |
| beta | - infection transmission rate, 1/time |
◆ ~Place()
| virtual Place::~Place |
( |
| ) |
|
|
virtualdefault |
◆ add_agent()
| void Place::add_agent |
( |
const int |
index | ) |
|
|
inline |
Add a new agent to this place.
- Parameters
-
| index | - agent ID (starts with 1) |
◆ add_exposed()
| virtual void Place::add_exposed |
( |
double |
inf_var | ) |
|
|
inlinevirtual |
Include exposed contribution in the sum.
- Parameters
-
| inf_var | - agent infectiousness variability factor |
Reimplemented in Hospital.
◆ add_symptomatic()
| virtual void Place::add_symptomatic |
( |
double |
inf_var | ) |
|
|
inlinevirtual |
Include symptomatic contribution in the sum.
- Parameters
-
| inf_var | - agent infectiousness variability factor |
Reimplemented in Workplace.
◆ change_transmission_rate()
| void Place::change_transmission_rate |
( |
const double |
new_beta | ) |
|
|
inline |
◆ compute_infected_contribution()
| void Place::compute_infected_contribution |
( |
| ) |
|
|
virtual |
Calculates and stores fraction of infected agents if any.
Reimplemented in Hospital, and Household.
◆ get_agent_IDs()
| virtual std::vector<int> Place::get_agent_IDs |
( |
| ) |
const |
|
inlinevirtual |
Return IDs of agents registered in this place.
◆ get_ID()
| int Place::get_ID |
( |
| ) |
const |
|
inline |
◆ get_infected_contribution()
| double Place::get_infected_contribution |
( |
| ) |
const |
|
inline |
Return probability contribution of infected agents.
◆ get_total_infected()
| int Place::get_total_infected |
( |
| ) |
const |
|
inline |
Return total number of infected agents.
◆ get_transmission_rate()
| double Place::get_transmission_rate |
( |
| ) |
const |
|
inline |
◆ print_basic()
| void Place::print_basic |
( |
std::ostream & |
where | ) |
const |
|
virtual |
Save information about a Place object.
Saves to a file, everything but detailed agent information; order is ID | x | y | number of agents | number of infected agents Delimiter is a space.
- Parameters
-
Reimplemented in Hospital, School, RetirementHome, Workplace, and Household.
◆ register_agent()
| void Place::register_agent |
( |
const int |
agent_ID, |
|
|
const bool |
is_infected |
|
) |
| |
Assign agent to a given place indicating if infected.
- Parameters
-
| agent_ID | - global ID of the agent |
| is_infected | - true if agent is infected |
◆ remove_agent()
| void Place::remove_agent |
( |
const int |
index | ) |
|
Remove an agent from this place.
- Parameters
-
| index | - agent ID (starts with 1) |
◆ reset_contributions()
| virtual void Place::reset_contributions |
( |
| ) |
|
|
inlinevirtual |
Reset the lambda sum of a place after transmission step.
Reimplemented in Hospital.
◆ agent_IDs
| std::vector<int> Place::agent_IDs |
|
protected |
◆ beta_j
| double Place::beta_j = 0.0 |
|
protected |
◆ ck
◆ ID
◆ inf_ratio
| double Place::inf_ratio = 0.0 |
|
protected |
◆ lambda_sum
| double Place::lambda_sum = 0.0 |
|
protected |
◆ lambda_tot
| double Place::lambda_tot = 0.0 |
|
protected |
◆ num_infected
| int Place::num_infected = 0 |
|
protected |
◆ num_tot
The documentation for this class was generated from the following files:


--- layout: page title: Documentation tags: - Docs - Howots - Linux status: publish type: page published: true meta: _wp_page_template: default _edit_lock: "1268948626" _edit_last: "1" jd_tweet_this: "yes" --- This are some some howto's i wrote. Please leave a comment if these documents were helpful for you.


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Material Web Components
A faithful and accurate representation of Material Design as envisioned on the web by Google's Material Design team.


InsiderDelegate
Undocumented
-
This method will be called on delegate for
invoke
actionDeclaration
Swift
@objc optional func insider(_ insider: Insider, invokeMethodWithParams params: JSONDictionary?)
Parameters
insider
instance of Insider class
params
request params
-
This method will be called on delegate for
invokeForResponse
actionDeclaration
Swift
@objc optional func insider(_ insider: Insider, invokeMethodForResponseWithParams params: JSONDictionary?) -> JSONDictionary?
Parameters
insider
instance of Insider class
params
request params
Return Value
return params
-
This method will be called on delegate for
notification
actionDeclaration
Swift
@objc optional func insider(_ insider: Insider, didSendNotificationWithParams params: JSONDictionary?)
Parameters
insider
instance of Insider class
params
request params sent in notification
-
This method will be called on delegate for
systemInfo
actionDeclaration
Swift
@objc optional func insider(_ insider: Insider, didReturnSystemInfo systemInfo: JSONDictionary?)
Parameters
insider
instance of Insider class
systemInfo
returned system information
-
This method is caled when a new directory is created in sandbox
Declaration
Swift
@objc optional func insider(_ insider: Insider, didCreateDirectoryAtPath path: String)
Parameters
insider
instance of Insider class
path
path to the new created directory
-
This method is called when an item is removed from sandbox
Declaration
Swift
@objc optional func insider(_ insider: Insider, didDeleteItemAtPath path: String)
Parameters
insider
instance of Insider class
path
path of the removed item
-
This method is called when an item is downloaded from sandbox
Declaration
Swift
@objc optional func insider(_ insider: Insider, didDownloadFileAtPath path: String)
Parameters
insider
instance of Insider class
path
path to the downloaded item
-
This method is called when an item is moved in sandbox
Declaration
Swift
@objc optional func insider(_ insider: Insider, didMoveItemFromPath fromPath: String, toPath: String)
Parameters
insider
instance of Insider class
fromPath
initial path to the item
toPath
path to the item after it was moved
-
This method is called when an item is uploaded to sandbox
Declaration
Swift
@objc optional func insider(_ insider: Insider, didUploadFileAtPath path: String)
Parameters
insider
instance of Insider class
path
path to the uploaded item


WEEK 23 FRIDAY
Year 1 (Year 2)
FIRST READING 1 Timothy 1:1-2.12-14
I formerly blasphemed; but I received mercy.
The beginning of the first Letter of Saint Paul to Timothy
Paul, an apostle of Christ Jesus by command of God our Saviour and of Christ Jesus our hope, To Timothy, my true
child in the faith: Grace, mercy, and peace from God the Father and Christ
Jesus our Lord. I thank him who has given me strength for this, Christ Jesus
our Lord, because he judged me faithful by appointing me to his service, though
I formerly blasphemed and persecuted and insulted him; but I received mercy
because I had acted ignorantly in unbelief, and the grace of our Lord
overflowed for me with the faith and love that are in Christ Jesus.
The word of the Lord
RESPONSORIAL PSALM
Psalm 16:1-2a and 5.7-8.11 (R. see 5a)
R. It is you, O Lord, who are my portion.
Preserve me, O God, for in you I take refuge. I say to the LORD: 'You
are my Lord.'  It is you, O Lord, who are my portion.
I will bless the LORD who gives me counsel, who even at night directs my
heart. I keep the LORD before me always; since with him at my right hand, I
shall not be moved.
R. It is you, O Lord, who are my portion.
You will show me the path of life, the fullness of joy in your presence,
at your right hand, bliss for ever.
R. It is you, O Lord, who are my portion.
FIRST READING 1 Corinthians 9:16-19.22-27
I have become all things to all men, that I might by all means save some.
A reading from the first Letter of Saint Paul to the Corinthians
Brethren: If I preach the gospel, that gives me
no ground for boasting. For necessity is laid upon me. Woe to me if I do not preach
the gospel! For if I do this of my own will, I have a reward; but if not of my
own will, I am entrusted with a commission. What then is my reward? Just this:
that in my preaching I may make the gospel free of charge, not making full use
of my right in the gospel. For though I am free from all men, I have made
myself a slave to all, that I might win the more. I have become all things to
all men, that I might by all means save some. I do it
all for the sake of the gospel, that I may share in its blessings. Do you not
know that in a race all the runners compete, but only one receives the prize?
So run that you may obtain it. Every athlete exercises self-control in all
things. They do it to receive a perishable wreath, but we an imperishable.
Well, I do not run aimlessly, I do not box as one beating the air; but I pommel
my body and subdue it, lest after preaching to others I myself should be
disqualified.
The word of the Lord
RESPONSORIAL PSALM
Psalm 84:3.4.5-6.12 (R. 2)
R. How lovely is your dwelling place, O Lord of hosts!
My soul is longing and yearning for the courts of
the LORD. My heart and my flesh cry out to the living God.
R. How lovely is your dwelling place, O Lord of hosts!
Even the sparrow finds a home, and the swallow a
nest for herself in which she sets her young, at your altars, O LORD of hosts,
my king and my God.
R. How lovely is your dwelling place, O Lord of hosts!
Blessed are they who dwell in your house, for ever
singing your praise. Blessed is the man whose strength
is in you, whose heart is set on pilgrim ways.
R. How lovely is your dwelling place, O Lord of hosts!
For the LORD God is a sun, a shield; the LORD will
give us his favour and glory. He will not withhold any good to those who walk
without blame.
R. How lovely is your dwelling place, O Lord of hosts!
R. Alleluia. Your word, O Lord is truth; sanctify us in the truth. R. Alleluia.
GOSPEL Luke 6:39-42
Can a blind man lead a blind man?
A reading from the holy Gospel according to Luke
At that time: Jesus told his disciples a parable: "Can a blind man
lead a blind man? Will they not both fall into a pit? A disciple is not above
his teacher, but every one when he is fully taught will be like his teacher.
Why do you see the speck that is in your brother's eye, but do not notice the
log that is in your own eye? Or how can you say to your brother, 'Brother, let
me take out the speck that is in your eye,' when you yourself do not see the
log that is in your own eye?
The Gospel of the Lord


(removes eventlistener to prevent alert bug, fix this when alert is fixed) See current visibilitystate Listen for visibilitychanges


Symbol Index for "Phenomenon Under Heading"
Symbol Index for diagram
"Phenomenon Under Heading"
Agent (Class)
associated phenomenon (Association)
Heading (Class)
heading for (Association)
Phenomenon Under Heading (Class)
responsible for assigning (Association)
Subject Phenomenon (Class)


Class links.Graph
Defined in: graph.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
links.Graph(container)
|
| Method Attributes | Method Name and Description |
|---|---|
| <static> |
links.Graph.addEventListener(element, action, listener, useCapture)
Add and event listener.
|
|
draw(data, options)
Main drawing logic.
|
|
|
Retrieve the current value range (range on the vertical axis)
|
|
|
Retrieve the current visible range in the Graph.
|
|
| <static> |
links.Graph.isOutside(event, parent)
Check if an event took place outside a specified parent element.
|
|
onmousemove(event)
|
|
|
onmouseup(event)
|
|
|
onmouseupoutside(event)
|
|
|
ontouchend(event)
|
|
|
ontouchmove(event)
|
|
| <static> |
links.Graph.preventDefault(event)
Cancels the event if it is cancelable, without stopping further propagation of the event.
|
| <static> |
links.Graph.px(x)
Append suffix "px" to provided value x
|
|
redraw()
Redraw the Graph.
|
|
| <static> |
links.Graph.removeEventListener(element, action, listener, useCapture)
Remove an event listener from an element
|
|
setAutoScale(enable)
Enable or disable autoscaling
|
|
|
setScale(scale, step)
Set a custom scale.
|
|
|
setSize(width, height)
Set a new size for the graph
|
|
|
setValueRange(start, end, redrawNow)
Set vertical value range
|
|
|
Adjust the vertical range to auto fit the contents
|
|
|
setVisibleChartRange(start, end, redrawNow)
Set a new value for the visible range int the Graph.
|
|
|
Adjust the visible chart range to fit the contents.
|
|
|
Adjust the visible range such that the current time is located in the center
of the graph
|
|
| <static> |
links.Graph.stopPropagation(event)
Stop event propagation
|
|
timeToScreen(time)
Convert a datetime (Date object) into a position on the screen
Before this method can be used, the method calcConversionFactor must be
executed once.
|
|
|
trigger(event, params)
fire an event
|
|
Class Detail
links.Graph(container)
- Parameters:
- {Element} container
- The DOM element in which the Graph will be created. Normally a div element.
Method Detail
<static>
links.Graph.addEventListener(element, action, listener, useCapture)
Add and event listener. Works for all browsers
- Parameters:
- {Element} element
- An html element
- {string} action
- The action, for example "click", without the prefix "on"
- {function} listener
- The callback function to be executed
- {boolean} useCapture
draw(data, options)
Main drawing logic. This is the function that needs to be called
in the html page, to draw the Graph.
A data table with the events must be provided, and an options table.
Available options:
- width Width for the Graph in pixels or percentage.
- height Height for the Graph in pixels or percentage.
- start A Date object with the start date of the visible range
- end A Date object with the end date of the visible range
TODO: describe all options
All options are optional.
- Parameters:
- {google.visualization.DataTable | Array} data
- The data containing the events for the Graph. Object DataTable is defined in google.visualization.DataTable.
- {Object} options
- A name/value map containing settings for the Graph.
getValueRange()
Retrieve the current value range (range on the vertical axis)
{Object}
getVisibleChartRange()
Retrieve the current visible range in the Graph.
- Returns:
- {Object} An object with start and end properties
<static>
{boolean}
links.Graph.isOutside(event, parent)
Check if an event took place outside a specified parent element.
- Parameters:
- {Event} event
- A javascript (mouse) event object
- {Element} parent
- The DOM element to check if event was inside it
- Returns:
- {boolean}
onmousemove(event)
- Parameters:
- event
onmouseup(event)
- Parameters:
- event
onmouseupoutside(event)
- Parameters:
- event
ontouchend(event)
- Parameters:
- event
ontouchmove(event)
- Parameters:
- event
<static>
links.Graph.preventDefault(event)
Cancels the event if it is cancelable, without stopping further propagation of the event.
- Parameters:
- event
<static>
{string}
links.Graph.px(x)
Append suffix "px" to provided value x
- Parameters:
- {int} x
- An integer value
- Returns:
- {string} the string value of x, followed by the suffix "px"
redraw()
Redraw the Graph. This needs to be executed after the start and/or
end time are changed, or when data is added or removed dynamically.
<static>
links.Graph.removeEventListener(element, action, listener, useCapture)
Remove an event listener from an element
- Parameters:
- {Element} element
- An html dom element
- {string} action
- The name of the event, for example "mousedown"
- {function} listener
- The listener function
- {boolean} useCapture
screenToY()
setAutoScale(enable)
Enable or disable autoscaling
- Parameters:
- {boolean} enable
- If true or not defined, autoscaling is enabled. If false, autoscaling is disabled.
setScale(scale, step)
Set a custom scale. Autoscaling will be disabled.
For example setScale(SCALE.MINUTES, 5) will result
in minor steps of 5 minutes, and major steps of an hour.
- Parameters:
- {links.Graph.StepDate.SCALE} scale
- A scale. Choose from SCALE.MILLISECOND, SCALE.SECOND, SCALE.MINUTE, SCALE.HOUR, SCALE.DAY, SCALE.MONTH, SCALE.YEAR.
- {int} step
- A step size, by default 1. Choose for example 1, 2, 5, or 10.
setSize(width, height)
Set a new size for the graph
- Parameters:
- {string} width
- Width in pixels or percentage (for example "800px" or "50%")
- {string} height
- Height in pixels or percentage (for example "400px" or "30%")
setValueRange(start, end, redrawNow)
Set vertical value range
- Parameters:
- {Number} start
- Start of the range. If undefined, start will be set to match the minimum data value
- {Number} end
- End of the range. If undefined, end will be set to match the maximum data value
- {Boolean} redrawNow
- Optional. If true (default) the graph is redrawn after the range has been changed
setValueRangeAuto()
Adjust the vertical range to auto fit the contents
setVisibleChartRange(start, end, redrawNow)
Set a new value for the visible range int the Graph.
Set start to null to include everything from the earliest date to end.
Set end to null to include everything from start to the last date.
Example usage:
myGraph.setVisibleChartRange(new Date("2010-08-22"),
new Date("2010-09-13"));
- Parameters:
- {Date} start
- The start date for the graph
- {Date} end
- The end date for the graph
- {Boolean} redrawNow
- Optional. If true (default), the graph is automatically redrawn after the range is changed
setVisibleChartRangeAuto()
Adjust the visible chart range to fit the contents.
setVisibleChartRangeNow()
Adjust the visible range such that the current time is located in the center
of the graph
<static>
links.Graph.stopPropagation(event)
Stop event propagation
- Parameters:
- event
{int}
timeToScreen(time)
Convert a datetime (Date object) into a position on the screen
Before this method can be used, the method calcConversionFactor must be
executed once.
- Parameters:
- {Date} time
- A date
- Returns:
- {int} x The position on the screen in pixels which corresponds with the given date.
trigger(event, params)
fire an event
- Parameters:
- {String} event
- The name of an event, for example "rangechange" or "edit"
- {Object} params
- Optional parameters
yToScreen()


Since beginning my journey as a developer nearly 4 years ago, I thought it's a perfect job for me and start as a android developer. after I graduated from faculty of science i know that work is so different about collage ,so i decided to join iti and start my career.
bootstrap , scss , gulp , jquery
templete with spy scroll
html , css3
Grid system , flex ,auto playing slider useing css3
html , css3 , jquery , ajax
Admain can watch posts and control them (edit / delete )
html5 ,css3
templete use grid system , flex and media query
html5 , css3 , js
User Drag and drop tasks and save it in local storage
html5 , css3 , pure js
work on event lisenter , settime and setinterval
html5 only - svg
html , css3
html , css , pure js
game with ai ,single player or two player


Defines | |
| #define | uip_send(data, len) |
| Send data on the current connection. | |
| #define | uip_datalen() |
| The length of any incoming data that is currently avaliable (if avaliable) in the uip_appdata buffer. | |
| #define | uip_urgdatalen() |
| The length of any out-of-band data (urgent data) that has arrived on the connection. | |
| #define | uip_close() |
| Close the current connection. | |
| #define | uip_abort() |
| Abort the current connection. | |
| #define | uip_stop() |
| Tell the sending host to stop sending data. | |
| #define | uip_stopped(conn) |
| Find out if the current connection has been previously stopped with uip_stop(). | |
| #define | uip_restart() |
| Restart the current connection, if is has previously been stopped with uip_stop(). | |
| #define | uip_newdata() |
| Is new incoming data available? | |
| #define | uip_acked() |
| Has previously sent data been acknowledged? | |
| #define | uip_connected() |
| Has the connection just been connected? | |
| #define | uip_closed() |
| Has the connection been closed by the other end? | |
| #define | uip_aborted() |
| Has the connection been aborted by the other end? | |
| #define | uip_timedout() |
| Has the connection timed out? | |
| #define | uip_rexmit() |
| Do we need to retransmit previously data? | |
| #define | uip_poll() |
| Is the connection being polled by uIP? | |
| #define | uip_initialmss() |
| Get the initial maxium segment size (MSS) of the current connection. | |
| #define | uip_mss() |
| Get the current maxium segment size that can be sent on the current connection. | |
| #define | uip_udp_remove(conn) |
| Removed a UDP connection. | |
| #define | uip_udp_send(len) |
| Send a UDP datagram of length len on the current connection. | |
Functions | |
| void | uip_listen (u16_t port) |
| Start listening to the specified port. | |
| void | uip_unlisten (u16_t port) |
| Stop listening to the specified port. | |
| uip_conn * | uip_connect (u16_t *ripaddr, u16_t port) |
| Connect to a remote host using TCP. | |
| uip_udp_conn * | uip_udp_new (u16_t *ripaddr, u16_t rport) |
| Set up a new UDP connection. |
|
|
Abort the current connection. This function will abort (reset) the current connection, and is usually used when an error has occured that prevents using the uip_close() function. |
|
|
Has the connection been aborted by the other end? Non-zero if the current connection has been aborted (reset) by the remote host. |
|
|
Has previously sent data been acknowledged? Will reduce to non-zero if the previously sent data has been acknowledged by the remote host. This means that the application can send new data. |
|
|
Close the current connection. This function will close the current connection in a nice way. |
|
|
Has the connection been closed by the other end? Is non-zero if the connection has been closed by the remote host. The application may then do the necessary clean-ups. |
|
|
Has the connection just been connected? Reduces to non-zero if the current connection has been connected to a remote host. This will happen both if the connection has been actively opened (with uip_connect()) or passively opened (with uip_listen()). |
|
|
The length of any incoming data that is currently avaliable (if avaliable) in the uip_appdata buffer. The test function uip_data() must first be used to check if there is any data available at all. |
|
|
Get the current maxium segment size that can be sent on the current connection. The current maxiumum segment size that can be sent on the connection is computed from the receiver's window and the MSS of the connection (which also is available by calling uip_initialmss()). |
|
|
Is new incoming data available? Will reduce to non-zero if there is new data for the application present at the uip_appdata pointer. The size of the data is avaliable through the uip_len variable. |
|
|
Is the connection being polled by uIP? Is non-zero if the reason the application is invoked is that the current connection has been idle for a while and should be polled. The polling event can be used for sending data without having to wait for the remote host to send data. |
|
|
Restart the current connection, if is has previously been stopped with uip_stop(). This function will open the receiver's window again so that we start receiving data for the current connection. |
|
|
Do we need to retransmit previously data? Reduces to non-zero if the previously sent data has been lost in the network, and the application should retransmit it. The application should send the exact same data as it did the last time, using the uip_send() function. |
|
|
Send data on the current connection. This function is used to send out a single segment of TCP data. Only applications that have been invoked by uIP for event processing can send data. The amount of data that actually is sent out after a call to this funcion is determined by the maximum amount of data TCP allows. uIP will automatically crop the data so that only the appropriate amount of data is sent. The function uip_mss() can be used to query uIP for the amount of data that actually will be sent.
|
|
|
Tell the sending host to stop sending data. This function will close our receiver's window so that we stop receiving data for the current connection. |
|
|
Has the connection timed out? Non-zero if the current connection has been aborted due to too many retransmissions. |
|
|
Removed a UDP connection.
|
|
|
Send a UDP datagram of length len on the current connection. This function can only be called in response to a UDP event (poll or newdata). The data must be present in the uip_buf buffer, at the place pointed to by the uip_appdata pointer.
|
|
|
The length of any out-of-band data (urgent data) that has arrived on the connection.
|
|
|
Connect to a remote host using TCP. This function is used to start a new connection to the specified port on the specied host. It allocates a new connection identifier, sets the connection to the SYN_SENT state and sets the retransmission timer to 0. This will cause a TCP SYN segment to be sent out the next time this connection is periodically processed, which usually is done within 0.5 seconds after the call to uip_connect().
u16_t ipaddr[2]; uip_ipaddr(ipaddr, 192,168,1,2); uip_connect(ipaddr, HTONS(80));
|
|
|
Start listening to the specified port.
uip_listen(HTONS(80));
|
|
|
Set up a new UDP connection.
|
|
|
Stop listening to the specified port.
uip_unlisten(HTONS(80));
|


This text should show up as red when styled. There is also support for underlined text.
This_does_not_get_underlined though.
Some ancient manuscripts also have overlined, and overlined & underlined text.


src
attributeaudio
elementwith src
with child elements with src
attributes
with out src
embed
elementwith src
iframe
elementwith src
, no title
with src
, with title
with out src
, no title
with out src
, with title
img
elementwith src
with alt
with src
no alt
with out src
with alt
with out src
no alt
input
elementwith src
with src
no alt
with out src
with alt
with out src
no alt
script
elementwith src
with out src
video
elementwith child elements with src
attributes
with src
and no child elements
with out src


In a previous article we've learned how to build an APK executable for Android from the command line, without using an IDE. Let's advance further and build an Android App Bundle (AAB). Only the JDK, the Android SDK and the Bundletool will be used. The steps described below were tested in Windows, but the same commands can be adapted to any other environment.
What is Android App Bundle (AAB)?
Currently AAB is the preferred format to publish applications to Google Play. This publishing format contains all the application compiled code and resources. The APK generation and signing is deferred to Google Play. In this way the APK can be optimized by including only the code and resources that are needed for a specific device. Therefore, the download size can be reduced significantly.
For example, let's suppose that our app supports both smartphones and Android TV. For compatibility with Android TV we've created a hi-res banner image. If we publish the app in APK format our banner image will be downloaded to the smartphone devices, even though it will never be used there. The AAB format makes it possible to avoid including unnecessary data to speed up the download, save bandwidth and storage space.
At the time of writing the AAB format is used by Google Play only, it is not supported by other stores.
Why not using an IDE?
Android Studio can build an AAB automatically with a single click. Doing it manually may be useful for learning purposes. For example, if you are building your own tool to generate Android applications, this article can be used as a reference. There are special cases when it can be necessary to avoid using autogenerated code. In such cases you may need to build the package manually.
The tools of trade
We'll only need the JDK, the Android SDK and the Bundletool. The JDK is necessary to compile the Java code and pack the binaries. It can be used to generate the certificate for signing as well. The Android SDK contains the necessary tools to convert the bytecode to Dex format (Dalvik Android virtual machine), align and sign the bundle. The Bundletool is used to generate the AAB. It is also used to test the AAB locally, by generating the device specific APKs.
If you don't already have a JDK 1.6 or later installed you can download it from the Oracle website. Make sure to install the Java Development Kit (JDK), not just the runtime. It's recommended to configure the environment variable JAVA_HOME to point to the Java installation location (without including the bin subdirectory). This is not mandatory, but it can help the Java tools locate the correct JDK version, especially if you have multiple JDK versions installed.
The Android SDK installation is trickier. Google doesn't provide the SDK as a standalone installation package any longer. There are 2 alternatives:
- Install the Android Studio from the official website. From the IDE homepage you can install the SDK easily.
- Another option is to download and install the Command Line Tools, which are available at the bottom of the same official website. The Command Line Tools are not the Android SDK. After installing the Command Line Tools you can launch the sdkmanager to download and configure the Android SDK.
The Android SDK Build Tools should be at least version 29.0.2. Previous versions may not include the AAPT2 tool or there may be compatibility issues. You can also download the latest AAPT2 version from Maven as explained here.
The latest Bundletool can be downloaded here. It is provided as a single JAR file.
Sample project
A complete sample project containing the Java source code and the Windows batch files to build and run the Android application is available in our GitHub repository.
We recommend creating your own certificate to sign the bundle. The JDK keytool can be used to replace the sample certificate with your own:
del src\demo.keystore /q REM The following command is a single line "%JAVA_HOME%"\bin\keytool -genkey -keystore src\demo.keystore -keyalg RSA -keysize 2048 -validity 10000 -alias demo
The path src\demo.keystore can be changed if you want to store the certificate into a different location. If you didn't configure the JAVA_HOME environment variable, the full path must be specified when calling the keytool. The certificate validity and the alias name can be changed, if necessary. The keytool will prompt you to fill in some information about the organization, location and assign a password. Our password for demo.keystore is password (not really strong).
build.bat
Before running build.bat it's necessary to setup the following configuration parameters. A plain text editor like Notepad can be used to edit the build.bat file:
- BUILD_TOOLS is the location of the Android SDK Build Tools. Use the example value as a reference.
- ANDROID_JAR is the path to the android.jar for the required API level. It is recommended to use the latest API version. It doesn't prevent the APK from running on older Android versions unless the app uses new version specific features.
- BUNDLETOOL is the location of the Bundletool jarfile. Try to use the latest version, if possible.
Let's review what the batch file does step by step:
- Compile the resources. This command parses the Android resources (images, xml and so on) and packs them into a ZIP file. Notice that in order to build an AAB we are using the AAPT2 tool instead of AAPT.
"%BUILD_TOOLS%\aapt2" compile --dir res\ -o obj\res.zip
- Link the resources. This is a single line:
"%BUILD_TOOLS%\aapt2" link --proto-format -o obj\linked.zip -I "%ANDROID_JAR%" --manifest src\AndroidManifest.xml --java src obj\res.zip --auto-add-overlay
- Compile the Java sources to bytecode.
"%JAVA_HOME%\bin\javac" -d obj -classpath src -bootclasspath "%ANDROID_JAR%" src\com\celer\hello\*.java
- Convert the bytecode to Dex format (Dalvik Android virtual machine).
"%BUILD_TOOLS%\dx" --dex --output=bin\classes.dex obj
- Combine the resources and the bytecode into a single bundle:
cd obj "%JAVA_HOME%\bin\jar" xf linked.zip resources.pb AndroidManifest.xml res mkdir manifest dex 2>nul move AndroidManifest.xml manifest copy /Y /B ..\bin\classes*.dex dex\ 2>nul "%JAVA_HOME%\bin\jar" cMf base.zip manifest dex res resources.pb
- Build the AAB.
"%JAVA_HOME%\bin\java" -jar "%BUNDLETOOL%" build-bundle --modules=base.zip --output=..\bin\hello.aab
- Sign the AAB.
"%JAVA_HOME%\bin\jarsigner" -keystore ..\src\demo.keystore -storepass password ..\bin\hello.aab demo
If there are no errors the output will be an AAB ready to be published to Google Play.


This tests that layout test can evaluate scripts in the web inspector context.
function sum(a, b) { return a + b; }


Check out more of my photos on 500px.
Photography
Posted in PhotographyHey, there. I’m Alex. I’m a PhD student at the University of Hawaii. I earned my BS in Astrophysics at UCSD and my MS at SDSU. Why is there more matter than antimatter? What is dark matter? I'm trying to find out. I’m currently working on DUNE. Check out my CV. In short, I love physics & teaching. Send me an email. I’m also on 500px.


Lets learn something about Array Methods - splice(), slice(), concat()
Using Concat method
Ex. Array_1 = [ 20, 30, 40 ], Array_2 = [ 50,60,80 ]
Concat Arrays
here data will be shown 20, 30, 40, 50, 60, 80
Note: Please check console log for log messages


We can provide you with information and advice on Innovate UK competitions. We also provide help and technical support on using the Innovation Funding Service.
Contact our Customer Support Service
Phone
Call 0300 321 4357 to speak to an adviser (9:00am to 5:30pm, 5 days a week). Calls are free from landlines and most mobile numbers. Find out more about call charges and freephone numbers.
Send your question or query to<EMAIL_ADDRESS>and we'll get back to you as soon as possible.
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If you need help with the service we can offer telephone, web conference or face to face assistance.
Call 0300 321 4357 to speak to an adviser.


# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Support VO Simple Cone Search capabilities."""
from __future__ import absolute_import, division, print_function, unicode_literals
# STDLIB
import warnings
# THIRD-PARTY
import numpy as np
# LOCAL
from . import vos_catalog
from .async import AsyncBase
from .exceptions import ConeSearchError, VOSError
from ... import units as u
from ...config.configuration import ConfigAlias
from ...coordinates import ICRS, BaseCoordinateFrame, Longitude, Latitude, SkyCoord
from ...units import Quantity
from ...utils.timer import timefunc, RunTimePredictor
from ...utils.exceptions import AstropyUserWarning
from ...utils import data
__all__ = ['AsyncConeSearch', 'conesearch', 'AsyncSearchAll', 'search_all',
'list_catalogs', 'predict_search', 'conesearch_timer']
# Skip these doctests for now;
# TODO: Add the ability to add py.test markers (such as remote_data) to
# doctests
__doctest_skip__ = ['AsyncConeSearch', 'AsyncSearchAll']
CONESEARCH_DBNAME = ConfigAlias(
'0.4', 'CONESEARCH_DBNAME', 'conesearch_dbname',
'astropy.vo.client.conesearch', 'astropy.vo')
[docs]class AsyncConeSearch(AsyncBase):
"""Perform a Cone Search asynchronously and returns the result of the
first successful query.
.. note::
See `~astropy.vo.client.async.AsyncBase` for more details.
Parameters
----------
args, kwargs : see :func:`conesearch`
Examples
--------
>>> from astropy import coordinates as coord
>>> from astropy import units as u
>>> c = coord.ICRS(6.0223 * u.degree, -72.0814 * u.degree)
>>> async_search = conesearch.AsyncConeSearch(
... c, 0.5 * u.degree,
... catalog_db='The PMM USNO-A1.0 Catalogue (Monet 1997) 1')
Check search status:
>>> async_search.running()
True
>>> async_search.done()
False
Get search results after a 30-second wait (not to be
confused with `astropy.utils.data.Conf.remote_timeout` that
governs individual Cone Search queries). If search is still not
done after 30 seconds, `TimeoutError` is raised. Otherwise,
Cone Search result is returned and can be manipulated as in
:ref:`Simple Cone Search Examples <vo-sec-scs-examples>`.
If no ``timeout`` keyword given, it waits until completion:
>>> async_result = async_search.get(timeout=30)
>>> cone_arr = async_result.array.data
>>> cone_arr.size
36184
"""
def __init__(self, *args, **kwargs):
super(AsyncConeSearch, self).__init__(conesearch, *args, **kwargs)
[docs]def conesearch(center, radius, verb=1, **kwargs):
"""Perform Cone Search and returns the result of the
first successful query.
Parameters
----------
center : `~astropy.coordinates.SkyCoord`, `~astropy.coordinates.BaseCoordinateFrame`, or sequence of length 2
Position of the center of the cone to search. It may be specified as an
object from the :ref:`astropy-coordinates` package, or as a length 2
sequence. If a sequence, it is assumed to be ``(RA, DEC)`` in the
ICRS coordinate frame, given in decimal degrees.
radius : float or `~astropy.units.quantity.Quantity`
Radius of the cone to search:
- If float is given, it is assumed to be in decimal degrees.
- If astropy quantity is given, it is internally converted
to degrees.
verb : {1, 2, 3}
Verbosity indicating how many columns are to be returned
in the resulting table. Support for this parameter by
a Cone Search service implementation is optional. If the
service supports the parameter:
1. Return the bare minimum number of columns that
the provider considers useful in describing the
returned objects.
2. Return a medium number of columns between the
minimum and maximum (inclusive) that are
considered by the provider to most typically
useful to the user.
3. Return all of the columns that are available for
describing the objects.
If not supported, the service should ignore the parameter
and always return the same columns for every request.
catalog_db
May be one of the following, in order from easiest to
use to most control:
- `None`: A database of
`astropy.vo.Conf.conesearch_dbname` catalogs is
downloaded from `astropy.vo.Conf.vos_baseurl`. The
first catalog in the database to successfully return a
result is used.
- *catalog name*: A name in the database of
`astropy.vo.Conf.conesearch_dbname` catalogs at
`astropy.vo.Conf.vos_baseurl` is used. For a list of
acceptable names, use :func:`list_catalogs`.
- *url*: The prefix of a URL to a IVOA Service for
`astropy.vo.Conf.conesearch_dbname`. Must
end in either '?' or '&'.
- `~astropy.vo.client.vos_catalog.VOSCatalog` object: A specific
catalog manually downloaded and selected from the database
(see :ref:`vo-sec-client-vos`).
- Any of the above 3 options combined in a list, in which case
they are tried in order.
pedantic : bool or `None`
When `True`, raise an error when the file violates the spec,
otherwise issue a warning. Warnings may be controlled using
:py:mod:`warnings` module. When not provided, uses the
configuration setting `astropy.io.votable.Conf.pedantic`,
which defaults to `False`.
verbose : bool
Verbose output.
cache : bool
Use caching for VO Service database. Access to actual VO
websites referenced by the database still needs internet
connection.
Returns
-------
obj : `astropy.io.votable.tree.Table`
First table from first successful VO service request.
Raises
------
ConeSearchError
When invalid inputs are passed into Cone Search.
VOSError
If VO service request fails.
"""
from .. import conf
# Validate RA and DEC
ra, dec = _validate_coord(center)
# Validate search radius
sr = _validate_sr(radius)
# Validate verbosity
verb = _local_conversion(int, verb)
if verb not in (1, 2, 3): # pragma: no cover
raise ConeSearchError('Verbosity must be 1, 2, or 3')
args = {'RA': ra, 'DEC': dec, 'SR': sr, 'VERB': verb}
return vos_catalog.call_vo_service(conf.conesearch_dbname,
kwargs=args, **kwargs)
[docs]class AsyncSearchAll(AsyncBase):
"""Perform a Cone Search asynchronously, storing all results
instead of just the result from first successful query.
.. note::
See `~astropy.vo.client.async.AsyncBase` for more details.
Parameters
----------
args, kwargs : see :func:`search_all`
Examples
--------
>>> from astropy import coordinates as coord
>>> from astropy import units as u
>>> c = coord.ICRS(6.0223 * u.degree, -72.0814 * u.degree)
>>> async_searchall = conesearch.AsyncSearchAll(c, 0.5 * u.degree)
Check search status:
>>> async_search.running()
True
>>> async_search.done()
False
Get a dictionary of all search results after a 30-second wait (not
to be confused with `astropy.utils.data.Conf.remote_timeout` that
governs individual Cone Search queries). If search is still not
done after 30 seconds, `TimeoutError` is raised. Otherwise, a
dictionary is returned and can be manipulated as in :ref:`Simple
Cone Search Examples <vo-sec-scs-examples>`. If no ``timeout``
keyword given, it waits until completion:
>>> async_allresults = async_search.get(timeout=30)
>>> all_catalogs = list(async_allresults)
>>> first_cone_arr = async_allresults[all_catalogs[0]].array.data
>>> first_cone_arr.size
36184
"""
def __init__(self, *args, **kwargs):
AsyncBase.__init__(self, search_all, *args, **kwargs)
[docs]def search_all(*args, **kwargs):
"""Perform Cone Search and returns the results of
all successful queries.
.. warning::
Could potentially take up significant run time and
computing resources.
Parameters
----------
args, kwargs :
Arguments and keywords accepted by :func:`conesearch`.
Returns
-------
all_results : dict of `astropy.io.votable.tree.Table` objects
A dictionary of tables from successful VO service requests,
with keys being the access URLs. If none is successful,
an empty dictionary is returned.
Raises
------
ConeSearchError
When invalid inputs are passed into Cone Search.
"""
from .. import conf
all_results = {}
catalog_db = kwargs.get('catalog_db', None)
if 'catalog_db' in kwargs:
kwargs.pop('catalog_db')
cache = kwargs.get('cache', True)
verbose = kwargs.get('verbose', True)
catalogs = vos_catalog._get_catalogs(conf.conesearch_dbname, catalog_db,
cache=cache, verbose=verbose)
for name, catalog in catalogs:
try:
result = conesearch(catalog_db=catalog, *args, **kwargs)
except VOSError:
pass
else:
all_results[result.url] = result
return all_results
[docs]def list_catalogs(**kwargs):
"""Return the available Cone Search catalogs as a list of strings.
These can be used for the ``catalog_db`` argument to
:func:`conesearch`.
Parameters
----------
cache : bool
Use caching for VO Service database. Access to actual VO
websites referenced by the database still needs internet
connection.
verbose : bool
Show download progress bars.
pattern : str or `None`
If given string is anywhere in a catalog name, it is
considered a matching catalog. It accepts patterns as
in :py:mod:`fnmatch` and is case-insensitive.
By default, all catalogs are returned.
sort : bool
Sort output in alphabetical order. If not sorted, the
order depends on dictionary hashing. Default is `True`.
Returns
-------
arr : list of str
List of catalog names.
"""
from .. import conf
return vos_catalog.list_catalogs(conf.conesearch_dbname, **kwargs)
[docs]def predict_search(url, *args, **kwargs):
"""Predict the run time needed and the number of objects
for a Cone Search for the given access URL, position, and
radius.
Run time prediction uses `astropy.utils.timer.RunTimePredictor`.
Baseline searches are done with starting and ending radii at
0.05 and 0.5 of the given radius, respectively.
Extrapolation on good data uses least-square straight line fitting,
assuming linear increase of search time and number of objects
with radius, which might not be accurate for some cases. If
there are less than 3 data points in the fit, it fails.
Warnings (controlled by :py:mod:`warnings`) are given when:
#. Fitted slope is negative.
#. Any of the estimated results is negative.
#. Estimated run time exceeds
`astropy.utils.data.Conf.remote_timeout`.
.. note::
If ``verbose=True``, extra log info will be provided.
But unlike :func:`conesearch_timer`, timer info is suppressed.
If ``plot=True``, plot will be displayed.
Plotting uses `matplotlib <http://matplotlib.sourceforge.net/>`_.
The predicted results are just *rough* estimates.
Prediction is done using :func:`conesearch`. Prediction for
`AsyncConeSearch` is not supported.
Parameters
----------
url : str
Cone Search access URL to use.
args, kwargs : see :func:`conesearch`
Extra keyword ``plot`` is allowed and only used by this
function and not :func:`conesearch`.
Returns
-------
t_est : float
Estimated time in seconds needed for the search.
n_est : int
Estimated number of objects the search will yield.
Raises
------
AssertionError
If prediction fails.
ConeSearchError
If input parameters are invalid.
VOSError
If VO service request fails.
"""
if len(args) != 2: # pragma: no cover
raise ConeSearchError('conesearch must have exactly 2 arguments')
plot = kwargs.get('plot', False)
if 'plot' in kwargs: # pragma: no cover
del kwargs['plot']
center, radius = args
sr = _validate_sr(radius)
if sr <= 0:
raise ConeSearchError('Search radius must be > 0 degrees')
kwargs['catalog_db'] = url
cs_pred = RunTimePredictor(conesearch, center, **kwargs)
# Search properties for timer extrapolation
num_datapoints = 10 # Number of desired data points for extrapolation
sr_min = 0.05 * sr # Min radius to start the timer
sr_max = 0.5 * sr # Max radius to stop the timer
sr_step = (1.0 / num_datapoints) * (sr_max - sr_min) # Radius step
# Slowly increase radius to get data points for extrapolation
sr_arr = np.arange(sr_min, sr_max + sr_step, sr_step)
cs_pred.time_func(sr_arr)
# Predict run time
t_coeffs = cs_pred.do_fit()
t_est = cs_pred.predict_time(sr)
if t_est < 0 or t_coeffs[1] < 0: # pragma: no cover
warnings.warn('Estimated runtime ({0} s) is non-physical with slope of '
'{1}'.format(t_est, t_coeffs[1]), AstropyUserWarning)
elif t_est > data.conf.remote_timeout: # pragma: no cover
warnings.warn('Estimated runtime is longer than timeout of '
'{0} s'.format(data.conf.remote_timeout), AstropyUserWarning)
# Predict number of objects
sr_arr = sorted(cs_pred.results) # Orig with floating point error
n_arr = [cs_pred.results[key].array.size for key in sr_arr]
n_coeffs = np.polyfit(sr_arr, n_arr, 1)
n_fitfunc = np.poly1d(n_coeffs)
n_est = int(round(n_fitfunc(sr)))
if n_est < 0 or n_coeffs[0] < 0: # pragma: no cover
warnings.warn('Estimated #objects ({0}) is non-physical with slope of '
'{1}'.format(n_est, n_coeffs[0]), AstropyUserWarning)
if plot: # pragma: no cover
import matplotlib.pyplot as plt
xlabeltext = 'radius (deg)'
sr_fit = np.append(sr_arr, sr)
n_fit = n_fitfunc(sr_fit)
cs_pred.plot(xlabeltext=xlabeltext)
fig, ax = plt.subplots()
ax.plot(sr_arr, n_arr, 'kx-', label='Actual')
ax.plot(sr_fit, n_fit, 'b--', label='Fit')
ax.scatter([sr], [n_est], marker='o', c='r', label='Predicted')
ax.set_xlabel(xlabeltext)
ax.set_ylabel('#objects')
ax.legend(loc='best', numpoints=1)
plt.draw()
return t_est, n_est
@timefunc(1)
[docs]def conesearch_timer(*args, **kwargs):
"""Time a single Cone Search using `astropy.utils.timer.timefunc`
with a single try and a verbose timer.
Parameters
----------
args, kwargs : see :func:`conesearch`
Returns
-------
t : float
Run time in seconds.
obj : `astropy.io.votable.tree.Table`
First table from first successful VO service request.
"""
return conesearch(*args, **kwargs)
def _local_conversion(func, x):
"""Try ``func(x)`` and replace `~.exceptions.ValueError` with
``ConeSearchError``."""
try:
y = func(x)
except ValueError as e: # pragma: no cover
raise ConeSearchError(str(e))
else:
return y
def _validate_coord(center):
"""Validate coordinates."""
if isinstance(center, SkyCoord):
icrscoord = center.transform_to(ICRS).frame
elif isinstance(center, BaseCoordinateFrame):
icrscoord = center.transform_to(ICRS)
else:
icrscoord = ICRS(Longitude(center[0], unit=u.degree),
Latitude(center[1], unit=u.degree))
return icrscoord.ra.degree, icrscoord.dec.degree
def _validate_sr(radius):
"""Validate search radius."""
if isinstance(radius, Quantity):
sr_angle = radius.to(u.degree)
else:
sr_angle = radius * u.degree
return sr_angle.value


| Rossi {carData} | R Documentation |
This data set is originally from Rossi et al. (1980), and is used as an example in Allison (1995). The data pertain to 432 convicts who were released from Maryland state prisons in the 1970s and who were followed up for one year after release. Half the released convicts were assigned at random to an experimental treatment in which they were given financial aid; half did not receive aid.
Rossi
A data frame with 432 observations on the following 62 variables.
week
week of first arrest after release or censoring; all censored observations are censored at 52 weeks.
arrest
1
if arrested, 0
if not arrested.
fin
financial aid: no
yes
.
age
in years at time of release.
race
black
or other
.
wexp
full-time work experience before incarceration: no
or yes
.
mar
marital status at time of release: married
or not married
.
paro
released on parole? no
or yes
.
prio
number of convictions prior to current incarceration.
educ
level of education: 2
= 6th grade or less;
3
= 7th to 9th grade; 4
= 10th to 11th grade;
5
= 12th grade; 6
= some college.
emp1
employment status in the first week after release: no
or yes
.
emp2
as above.
emp3
as above.
emp4
as above.
emp5
as above.
emp6
as above.
emp7
as above.
emp8
as above.
emp9
as above.
emp10
as above.
emp11
as above.
emp12
as above.
emp13
as above.
emp14
as above.
emp15
as above.
emp16
as above.
emp17
as above.
emp18
as above.
emp19
as above.
emp20
as above.
emp21
as above.
emp22
as above.
emp23
as above.
emp24
as above.
emp25
as above.
emp26
as above.
emp27
as above.
emp28
as above.
emp29
as above.
emp30
as above.
emp31
as above.
emp32
as above.
emp33
as above.
emp34
as above.
emp35
as above.
emp36
as above.
emp37
as above.
emp38
as above.
emp39
as above.
emp40
as above.
emp41
as above.
emp42
as above.
emp43
as above.
emp44
as above.
emp45
as above.
emp46
as above.
emp47
as above.
emp48
as above.
emp49
as above.
emp50
as above.
emp51
as above.
emp52
as above.
Allison, P.D. (1995). Survival Analysis Using the SAS System: A Practical Guide. Cary, NC: SAS Institute.
Rossi, P.H., R.A. Berk, and K.J. Lenihan (1980). Money, Work, and Crime: Some Experimental Results. New York: Academic Press.
John Fox, Marilia Sa Carvalho (2012). The RcmdrPlugin.survival Package: Extending the R Commander Interface to Survival Analysis. Journal of Statistical Software, 49(7), 1-32.
summary(Rossi)


Awesome quotes from Tiny Tower
Aha，I’m not a spammer anyway.
ps: Tiny tower’s wiki is awesome —> : http://tinytowerwiki.com/
- A. Knight: Have you ever wondered we all exist inside a computer simulation?
- Sherry Bailey: I believe that we were all born out of a little app icon. I know, sounds nuts.
- Stacy Hunt: A life? Cool! Where do I download one of those?
- Dianne Weaver: WOW! Just saw someone that had to be at least 20 pixels tall!
- Alex Wright: Sometimes I wish I had more resolution.
- S. Hamilton: Lost my contact! Everyone look for a clear pixel on the floor.
- Stacy Hunt(again!): Scientists have discovered sub-pixels! Mind-Boggling!
- Clyde Silva: Sometimes I get the feeling that we are being watched.
- Catherine Gary: I know I’m paranoid, but am I paranoid enough?
Almost about saying those words to the girl…


#Included Libraries#
##JSerialComm##
The only external library used for this project is JSerialComm to allow for serial communication with the external synthesizer.
The main website for this project can be found at and their GitHub at
. This library is licensed under the GNU LGPL. This means that the application must
make reference to the inclusion of this library, accompanied by methods to access the LGPL license information when distributing
the application. This license information can be found at . This does not however
place any requirements on our application in terms of licensing, so this will not cause problems when distributing
the application.


This is the paragraph part that I'm not sure what I should write about yet. I'm writing filler text so I can finish this assignment.
Look I just added a line break. And it's green!
This is italics.
This is bold.
I think this links to the same site but another page.
Greetings
This links to another site in the same browser.
Google
This links to an email.
Email Me
Time for some images and image links.
This is just a image.
This logo is actually a link.
Unordered list.


Shrikant is a full-stack javascript application developer with 3.5 years of professional experience. He has experience working with front-end and middle-layer technologies.
Shrikant's long term goal is to become UI Architect and help companies architect heavy-client applications.


20 Dates (R) * 1/2 Starring Myles Berkowitz, Elizabeth Wagner Directed by Myles Berkowitz A Review by Frankie Paiva
There are so many people that live their lives wanting to become a filmmaker or do something in the film related business. Every year they enter our nation's film schools with the high hopes that they too may one day make a movie that will be loved and adored by millions, then make a billion dollars, earn themselves a lifelong career, and start dating a supermodel. But seriously, how often does this type of thing really happen? 20 Dates is supposed to be a movie about a guy that goes on twenty different dates in LA and secretly films them to show what real life dating is like. However, I actually found the film to be much more of the man's quest to make his first ever Hollywood movie.
Myles Berkowitz is an aspiring filmmaker who's come up with a brilliant idea. He's going to film 20 dates with 20 different women to see what dating and love is really like, instead of what we are usually shown in the movies. His first problem is funding, on what are supposedly secretly taped conversations Myles and Elie Samaha, who's forking over the $60,000 to make the picture will only do it if he can hire actresses to go out with him. Myles sees this as trying to kill his artistic vision, but he's the producer so sooner or later he will have to agree.
As the film (and a restraining order from a woman who didn't want to be filmed) go by Elie wants more nudity and more sex in the film and refuses to fund it unless Tia Carrere is in the picture. This troubles Myles because he's just met, Elizabeth, he's crazy for her and she seems to be marraige material. So Myles faces a choice, should he finish the dates and start his movie career, or should he stay with possibly the only woman that he will ever truly love? Yawn...
For trying to be edgy and interesting, and being unlike regular love stories, this film certainly is what's it's trying not to be. None of the dates Myles takes out are all that interesting and as for Myles himself, he's so god dang self-involved that I hated him at about the 10 minute point. An interesting concept with a bad result, 20 Dates gets * 1/2 stars.
The Young-Uns: Strong language, brief images of strippers in strip clubs, and lots of talk about putting sex and nudity into the picture make up the most worrysome content. Good Age: 14 & Up
A Review by Frankie Paiva The 12 Year-Old Movie Reviewer E-Mail me at<EMAIL_ADDRESS>Visit my website at http://expage.com/page/teenagemoviecritic
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Use this singleton rather than instantiating new ExifTool instances in order
to leverage a single running ExifTool process. As of v3.0, its maxProcs
is
set to the number of CPUs on the current system; no more than maxProcs
instances of exiftool
will be spawned. You may want to experiment with
smaller or larger values for maxProcs
, depending on CPU and disk speed of
your system and performance tradeoffs.
Note that each child process consumes between 10 and 50 MB of RAM. If you
have limited system resources you may want to use a smaller maxProcs
value.
Generated using TypeDoc
Default values for
ExifToolOptions
, except forprocessFactory
(which is created by the ExifTool constructor)


Magister Gauen:
Frankly, I'm not sure. Up to now our research has been focused on sustaining and strengthening the magic force field tower.
However, it has become clear that we need a more permanent solution. For this we must return to the Sea of Spores itself.
We must shift our strategy to researching each individual spore, one by one.
We must study the colonies they build, how they spawn and the complex relationships between the plants and animals of the sea.
"Very interesting."


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@* * Copyright 2017 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.play.views.html.helpers.form @import core.views.html.helpers._ @import agent.models.OtherIncomeModel @import core.config.AppConfig @import agent.forms.OtherIncomeForm @import agent.forms.IncomeSourceForm.option_property @(otherIncomeForm: Form[OtherIncomeModel], incomeSource:String, postAction: Call, isEditMode: Boolean, backUrl: String)(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @core.views.html.templates.main_template(title = Messages("agent.income-other.title"), bodyClasses = None) { @back_link(backUrl) @summaryErrorHelper(otherIncomeForm)
@Messages("agent.income-other.para1")


bathtub curve
`Prev `__
B
`Next `__
--------------
**bathtub curve**: n.
Common term for the curve (resembling an end-to-end section of one of
those claw-footed antique bathtubs) that describes the expected failure
rate of electronics with time: initially high, dropping to near 0 for
most of the system's lifetime, then rising again as it ‘tires out’. See
also `*burn-in period* `__, `*infant
mortality* <../I/infant-mortality.html>`__.
--------------
+--------------------------+----------------------------+----------------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+--------------------------+----------------------------+----------------------------------+
| batch | `Home <../index.html>`__ | Batman factor |
+--------------------------+----------------------------+----------------------------------+


Features
-
Graph your grade trend over time. You can see how your grades have changed over the course grading period. This can help you understand where your grades have changed, and what you can do to improve. This magically shows up on your grade report! Here is an example (click on the image or here to zoom in):
-
Display your infinite campus schedule on Schoology. You don’t have to continuously navigate between two sites to view your schedules. Especially useful for new students!
Installation
Video instructions:
Written instructions:
Download the ZIP from here.
After unzipping the above pacakge, head to chrome:extensions and turn on developer mode from the top-right of the page.
From the top-left, click Load unpacked.
Now select the unzipped folder.
You should have the chrome extension installed now! You can pin it for easy-access to instructions.
Usage
Click the extension icon. Instructions will pop up. They will probably take thirty seconds to complete.
Contributing
All our services are open source. The source code for this tool can be found here. All code and documentation contributions are welcome! If you are unfamiliar with GitHub, see here for a guide to contributing.


Sitekey vulnerabilities article
SiteKey-20060718.pdf (application/pdf Object)
An article detailing some problems with the SiteKey implementation at BofA. I must say I'm not surprised by the one about real-time MITM bypassing the problem, but I'm a little surprised about one of the security processes for login being waived once the user clicks a button on a given PC and moreso that there's no easy way to remove the bypass from a given PC....
Secondary security questions (well one's that aren't likely to be public knowledge anyway) are a decent add-on to an authentication procedure, but I wouldn't have thought that they were so onerous, that you couldn't just ask them every time...


Label only
Multipe textual labels:
Label 1
|
Label 2
|
Label 3
Icon only:
Centered label only
Centered icon only:
Prepended icon
Prepended icon and appended badge
11
Appended icon
Label before icon
Label after icon
Appended icon and flexed label
Prepended and appended icon with flexed label
Link
Enlarged label and icon
Enlarged prepended icon
Image resource based icon


Before Change
:param unicode class_name: A fully qualified classname, eg: `org.pantsbuild.tools.jar.Main`.
:returns: A `Shader.Rule` describing the shading exclusion.
return Shading.Exclude.new(class_name).rule()
@classmethod
def shade_package(cls, package_name=None, recursive=False):
Includes the given fully qualified package name in shading.
After Change
:param unicode class_name: A fully qualified classname, eg: `org.pantsbuild.tools.jar.Main`.
:returns: A `Shader.Rule` describing the shading exclusion.
return Shading.create_exclude(class_name)
@classmethod
def shade_package(cls, package_name=None, recursive=False):
Includes the given fully qualified package name in shading.


This is a simple quizz to find friends who match!
It uses utility classes for typography and spacing to space content out within the larger container.


Elon Musk
Elon Musk is one of the greatest and most prolific modern inventors and is responsible for monumental advancements in futuristic technology like renewable energy and space travel. Many of his innovations seem to be right out of a science-fiction movie, but throughout his career he has brought about huge scientific breakthroughs. After making his first fortune from the internet payment service ‘PayPal’, he invested $100 million in his space travel company, ‘SpaceX’ and began building satellites, launch vehicles and other spacecraft both for NASA and for his own company, creating new milestones with his privately funded spacecraft. Many of his revolutionary ideas and inventions focus on space travel, renewable energy, commercial electric cars and other technologies, that look to a future where fossil fuels and other resources may be in shorter supply. His futuristic and visionary ideas have won him both scientific and philanthropic recognition and awards. The pop culture sometimes portrays him as a sort of real life super hero, dedicated to providing worldwide solutions to international problems. Musk looks to the future, hopes for intelligent life elsewhere in the universe and continues to plan far-reaching futuristic goals such a human colony on Mars.
- June 28, 1971: Born in Pretoria, South Africa
- 1983(Age 12): Creates and writes a video game called Blastar; sells it for the equivalent of $500
- 1988: Graduates from Pretoria Boys High School with distinctions in science and computer studies
- 1989 to 1991: Attends college at Queen’s University in Kingston, Ontario. Then transfers to the University of Pennsylvania; completed a BS in Economics (Wharton) and a BA with a major in physics
- 1995: Moves to Silicon Valley; defers graduate program in applied physics and materials science at Stanford University to join the Internet boom
- February 1999: Sells Zip2 to Compaq, the personal computer company, for $307 million, of which $22 million went to Musk. Then forms X.com, which in 2000 morphs into PayPal.
- 2002: Becomes a US citizen
- July 2002: eBay acquires PayPal for $1.5 billion in stock, of which $165 million goes to Musk
- 2002: Founds SpaceX9
- 2004: Invest in Tesla Motors
- 2007: SpaceX wins $1.6 billion contract to bring cargo to the International Space Station
- October 2008: Becomes Tesla’s CEO
- June 29, 2010: Tesla IPO
- May 2012: SpaceX becomes the first commercial vehicle to deliver a load of supplies to the International Space Station
- June 2012: Tesla begins deliveries of the all-electric Model S
- August 2013: Releases sketch and concept of the Hyperloop
For other information on Elon Musk visit here.


PitchFeast Corporation
As founder and CEO of a 501c3 organiztion, I love spending time helping others, most imporantly helping them navigate the entreprneurial eco-system in Indianapolis. PitchFeast is a community crowdfunding event and an open platform for entrepreneurs pitch thier ideas. In addition to receiving 75% of the funds collected at the door for their start up, the winner of PitchFeast receives in kind services aimed at helping them get through their first year.


Pairing is always encouraged. When you pair with others, you give yourself a "surface" to bounce your ideas off of. Working by yourself is good, but only to a point.  This is where a second person comes into play. It allows you to see the situation from a different point of view, because not everyone thinks the same or sees things the same.
Pairing with others to solve challenges is normally a fun and rewarding task. You may make a new friend, or better yet, they may teach you something that you do not know or help you get through the task that you are stuck on. This is very helpful when something is frustrating or difficult, especially if your pairing partner is knowledgeable in the topic or language you are using.
When I read my feedback, I felt pretty good about some of the opinions that others have of me. Getting feedback from others is helpful because it allows me to get an idea of what I need to improve on. Based on my feedback, I definitely need to improve on most of my Ruby commands and methods, as well as be a little more creative with CSS.
Writing feedback on others was pretty easy but also kind of nerve-racking. It's hard to put into words sometimes. Overall, my partners were very knowledgeable and helped me progress further in my programming skills due to their helpfulness and knowledge. The most difficult thing to do when writing my feedback was to correctly portray the way our pair session went. There were times that I wrote feedback and realized I didn't touch upon the pairing session at all or didn't give any constructive criticism (if there was any). The hardest thing was including all of the points I had wanted to include in the feedback, from the good points to the bad.
Getting feedback and pairing with others is definitely a big help in the learning process. Feedback allows you to see what others can see, even if feedback is not entirely good. Feedback can show you a different perspective of your skills and show you what you need to work on and what you have down perfectly. Pairing is extremely helpful in the learning process because it gives you a person to bounce ideas off of and get second opinions or different perspectives on subjects. Overall, pairing and feedback are very helpful in the learning process and can be very enjoyable as well.


| 009:023 Khan | : |
O you who believe! Take not for Auliya' (supporters and helpers) your fathers and your brothers if they prefer disbelief to Belief. And whoever of you does so, then he is one of the Zalimun (wrong-doers, etc.). |
| 009:023 Maulana | : |
O you who believe, take not your fathers and your brothers for friends if they love disbelief above faith. And whoever of you takes them for friends, such are the wrongdoers. |
| 009:023 Pickthal | : |
O ye who believe! Choose not your fathers nor your brethren for friends if they take pleasure in disbelief rather than faith. Whoso of you taketh them for friends, such are wrong-doers. |
| 009:023 Rashad | : |
O you who believe, do not ally yourselves even with your parents and your siblings, if they prefer disbelieving over believing. Those among you who ally themselves with them are transgressing. |
| 009:023 Sarwar | : |
Believers, do not accept your fathers and brothers as your guardians if they prefer disbelief to faith, lest you be unjust. |
| 009:023 Shakir | : |
O you who believe! do not take your fathers and your brothers for guardians if they love unbelief more than belief; and whoever of you takes them for a guardian, these it is that are the unjust. |
| 009:023 Sherali | : |
O ye who believe ! take not your fathers and brothers for friends if they prefer disbelieve to faith. And whoso of you takes them for friends, such are the wrongdoers. |
| 009:023 Yusufali | : |
O ye who believe! take not for protectors your fathers and your brothers if they love infidelity above Faith: if any of you do so, they do wrong. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > الكافرون > التشدد معهم Pillars of Islam> Islamic> The Disbelievers> Strictness Against them الدعوة إلى الله > حدودها > التشدد مع الكفار المقاتلين The Call for Allah> Its Limits> Strictness with the Fighting Unbelievers
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.


Binomial || Poisson || Set Conf Levels
This page computes exact confidence intervals for samples from the Binomial and Poisson distributions.
By default, it calculates symmetrical 95% confidence intervals, but you can change the "tail areas" to anything you'd like.
The formulas used in this web page are also available as Excel macros, which you can download in the file: confint.xls (85k long). This spreadsheet now includes an extra page that can generate a customized table of confidence limits around the observed numerator (x) and around the observed proportion (x/N), for any value of the denominator (N). My thanks to Prof. Patrick J. Laycock (University of Manchester) for that enhancement.
If you would like to have the six functions (BinomLow, BinomHigh, BinomP, PoisLow, PoisHigh, and PoisP) which appear in this spreadsheet available all the time (just as if they were built-in Excel functions), you can download and install the confint.xla Excel "add-in". Save the downloaded file in some reasonably "permanent" location on your computer's hard disk. Then install it, using the appropriate steps for your version of Excel (see Excel's Help section for "add-ins").
Note: Before using this page for the first time, make sure you read the JavaStat user interface guidelines for important information about interacting with JavaStat pages.
Enter the observed numerator and denominator counts, then click the Compute button:
Numerator (x):
Denominator (N):
Proportion (x/N):
Exact Confidence Interval around Proportion:
to
Enter the number of observed number of events, then click the Compute button:
Observed Events:
Exact Confidence Interval around Mean Event Rate:
Normally you will not need to change anything in this section. People usually use symmetrical 95% confidence intervals, which correspond to a 2.5% probability in each tail. If you want a different confidence level, you can replace the 95 with your preferred level, then click the Compute button. The program will split the tail area evenly between the Lower and Upper tails.
If you want asymmetrical limits, you can change the % Area numbers in the Lower Tail and Upper Tail cells shown below, then click the Compute button. The program will adjust the Confidence Level level accordingly.
Confidence Level:
% Area in Upper Tail:
% Area in Lower Tail:
Note: Over the years, I have grappled with the issue of whether or not any special action has to be taken , in computing the classic Clopper-Pearson binomial confidence intervals, when the observed count falls at one or the other end of the range of possible values (such as when the observed "Numerator" is equal to zero, or equal to the "Denominator" for the binomial case, or when the "Observed Events" is zero for the Poisson case). Specifically, the question arises as to whether, in such a situation, the confidence interval should be made one-sided; that is, should all of the 5% tail probability (for 95% CI's) be put onto one side, instead of being split half-and-half between the left and right side. The rationale for taking such action is that, in these situations, one side of the CI will be equal to the observed value (that is, there will be no "confidence region" on that side), so it would seem to make sense that all of the tail area should be re-allocated over to the other side, giving a slightly narrower confidence interval.
In the original version of this page (and the corresponding Excel spreadsheet), I took no special action. So, for example, an observed event count of zero would result in a 95% Poisson CI of 0 to 3.689 . But over the years, people pointed out that the one-sided 95% Poisson CI for an observed count of 0 was 0 to 2.996, so on June 19, 2004, I revised this web page to apply this one-sided adjustment automatically whenever the observed Poisson count was zero, or whenever the observed binomial numerator was zero or equal to the denominator. I also revised the Excel spreadsheet (and the included macros) to do the same thing.
Then in 2007, in a series of e-mail communications with Karl Schlag (of the Economics Department, European University Institute, in Florence, Italy), I came to realize that this special action was not justified -- It is not valid for the CI algorithm to turn a 2-sided CI into a 1-sided CI "on the fly" for certain values of the observed value. Taking this special action produces a CI that, for certain ranges of the true parameter, fails to produce at least a 95% coverage probability, thereby violating the strict requirement for an exact CI. The decision to use a 1-sided or a 2-sided CI has to be made beforehand, and applied consistently no matter what the observed value turns out to be. So, on August 11, 2007, I changed the web page's algorithm back to the way it was prior to June 19, 2004. I also made the same changes to the Excel spreadsheet and its macros.
Reference: CJ Clopper and ES Pearson, "The use of confidence or fiducial limits illustrated in the case of the binomial." Biometrika 26:404-413, 1934.
Reference: F Garwood, "Fiducial Limits for the Poisson Distribution" Biometrica 28:437-442, 1936.


We are tired, we do not like this South Africa anymore, says asylum seeker
Therese Walu's eyes welled up as she recalled the last time she shared dinner with her whole family, 19 years ago, in the Democratic Republic of Congo.
The next morning, soldiers raided her village of Mukakira, in the country's north-east - where a civil war that killed millions raged between 1998 and 2003.
She grabbed her youngest daughters and fled into the surrounding forest, not knowing whether the rest of the family survived.
With nothing but the clothes on her back, Walu started a perilous 10-year journey that would eventually take her more than 3 000km to South Africa's capital, Pretoria.
But like millions of displaced Africans, she reached a country boasting one of the world's most progressive refugee policies only to find herself knocking on closed doors.
"The only thing they ever gave us were [temporary] asylum papers," said Walu who has been battling for refugee status since 2010.
Fed up, she joined hundreds of asylum seekers on October 8 for a long-running sit-in in front of the offices of the UN High Commissioner for Refugees' (UNHCR) offices in Pretoria.
On Thursday, the protesters forced their way onto the UNHCR's premises after being served a court order evicting them from the street in front of the offices.
A similar protest was broken up in Cape Town after demonstrators were forcefully evicted from the building last month.
High hopes
"We are tired, we don't like this South Africa anymore," said Walu, 41, who wants the UNHCR to help relocate her family.
She told AFP the sit-in - sparked by a wave of xenophobic violence in September - was "the only chance" to protest against her situation.
South Africa is one of the few countries in the world that allows asylum seekers to work, have access to health care and study while their applications are being processed.
That reputation helped attract more than a million asylum seekers between 2007 and 2015, one of the world's highest, according to the government.
With high hopes to begin with, most have faced a lengthy, confusing and increasingly backlogged process.
"When I first arrived in South Africa I thought 'finally'," said another Congolese asylum seeker Esther Kabinga, 46.
After losing her husband in a plane crash and being gang-raped by soldiers, Kabinga left her home in the south-eastern Katanga Province in 2011, and walked into neighbouring Zambia with her three small children.
Kabinga then paid truck drivers to smuggle them into South Africa.
Stuck in limbo
She recalled having to leave home at 03:30 to queue for the processing of her application at the Department of Home Affairs.
"They give you a number and you wait. At the end of the day they tell you to come back tomorrow, come back next week."
Like most asylum seekers, both Kabinga and Walu's initial applications were rejected, marking the start of a lengthy appeal process.
"Currently there is a 99% [initial] rejection rate," human rights lawyer Jessica Lawrence told AFP, adding that thousands were stuck in limbo.
The UNHCR has also voiced concern about the number of "pending cases".
Despite the backlog, South Africa has reduced the capacity of some of its refugee application offices.
Human rights lawyer Sharon Elkambaram lamented the lack of "political will" to process applications.
"The quality of the decision-making is shocking," she added.
South Africa processed more than 630 000 applications over the past decade, less than 10% of which were granted refugee status.
Home Affairs spokesman Siya Qoza told AFP the majority were "not genuine cases" that were "clogging the system" by lodging appeals.
"Why would we need to increase the capacity when most of the world is stable?" he asked. "You would do that if the entire world was at war."
'Just a loser'
Walu and Kabinga have been living with temporary asylum permits for almost a decade.
That paper needs to be renewed every three to six months - a process that can take up to three weeks.
Asylum seekers also said the document branded them as foreigners, making them vulnerable to police bribes and discrimination.
Walu claimed her daughters were given a different high school diploma from a normal refugee because of their asylum-seeking status, and have since been refused access to university.
"Schools are instructed not to register foreign nationals or anyone who doesn't have a [South African] bar-coded ID," said Elkambaram.
"Same with hospitals," she added.
Last month, Johannesburg's High Court granted a public hospital the right to deny dialysis treatment to an Ethiopian asylum seeker on the basis that she was not a South African citizen.
Alem Ereselo, 36, feared persecution in Ethiopia after being involved with a once-banned political group as a student.
She fled to South Africa in 2010 and developed kidney failure in January.
"I feel shame for South Africa," said Ereselo, almost too frail to speak after spending 14 consecutive days without treatment.


Use Keras-style variable management.
tf.compat.v1.layers.experimental.keras_style_scope()
All tf.layers and tf RNN cells created in this scope use Keras-style variable management. Creating such layers with a scope= argument is disallowed, and reuse=True is disallowed.
The purpose of this scope is to allow users of existing layers to slowly transition to a Keras layers API without breaking existing functionality.
One example of this is when using TensorFlow's RNN classes with Keras Models or Networks. Because Keras models do not properly set variable scopes, users of RNNs may either accidentally share scopes between two different models, or get errors about variables that already exist.
class RNNModel(tf.keras.Model): def __init__(self, name): super(RNNModel, self).__init__(name=name) self.rnn = tf.compat.v1.nn.rnn_cell.MultiRNNCell( [tf.compat.v1.nn.rnn_cell.LSTMCell(64) for _ in range(2)]) def call(self, input, state): return self.rnn(input, state) model_1 = RNNModel("model_1") model_2 = RNNModel("model_2") # OK output_1, next_state_1 = model_1(input, state) # Raises an error about trying to create an already existing variable. output_2, next_state_2 = model_2(input, state)
The solution is to wrap the model construction and execution in a keras-style scope:
with keras_style_scope(): model_1 = RNNModel("model_1") model_2 = RNNModel("model_2") # model_1 and model_2 are guaranteed to create their own variables. output_1, next_state_1 = model_1(input, state) output_2, next_state_2 = model_2(input, state) assert len(model_1.weights) > 0 assert len(model_2.weights) > 0 assert(model_1.weights != model_2.weights)
A keras layer style scope.


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