| 程序包 | 说明 |
|---|---|
| org.springframework.aop |
Core Spring AOP interfaces, built on AOP Alliance AOP interoperability interfaces.
|
| org.springframework.aop.aspectj |
AspectJ integration package.
|
| org.springframework.aop.framework.adapter |
SPI package allowing Spring AOP framework to handle arbitrary advice types.
|
| org.springframework.aop.interceptor |
Provides miscellaneous interceptor implementations.
|
| org.springframework.aop.support |
Convenience classes for using Spring's AOP API.
|
| org.springframework.cache.interceptor |
AOP-based solution for declarative caching demarcation.
|
| org.springframework.cache.jcache.interceptor |
AOP-based solution for declarative caching demarcation using JSR-107 annotations.
|
| org.springframework.context.event |
Support classes for application events, like standard context events.
|
| org.springframework.dao.support |
Support classes for DAO implementations,
providing miscellaneous utility methods.
|
| org.springframework.ejb.access |
This package contains classes that allow easy access to EJBs.
|
| org.springframework.jms.remoting |
Remoting classes for transparent Java-to-Java remoting via a JMS provider.
|
| org.springframework.jmx.access |
Provides support for accessing remote MBean resources.
|
| org.springframework.orm.hibernate5.support |
Classes supporting the
org.springframework.orm.hibernate5 package. |
| org.springframework.remoting.caucho |
This package provides remoting classes for Caucho's Hessian protocol:
a proxy factory for accessing Hessian services, and an exporter for
making beans available to Hessian clients.
|
| org.springframework.remoting.httpinvoker |
Remoting classes for transparent Java-to-Java remoting via HTTP invokers.
|
| org.springframework.remoting.jaxws |
Remoting classes for Web Services via JAX-WS (the successor of JAX-RPC),
as included in Java 6 and Java EE 5.
|
| org.springframework.remoting.rmi |
Remoting classes for conventional RMI and transparent remoting via
RMI invokers.
|
| org.springframework.remoting.support |
Generic support classes for remoting implementations.
|
| org.springframework.scheduling.annotation |
Java 5 annotation for asynchronous method execution.
|
| org.springframework.transaction.interceptor |
AOP-based solution for declarative transaction demarcation.
|
| org.springframework.validation.beanvalidation |
Support classes for integrating a JSR-303 Bean Validation provider
(such as Hibernate Validator) into a Spring ApplicationContext
and in particular with Spring's data binding and validation APIs.
|
| 限定符和类型 | 接口和说明 |
|---|---|
interface |
IntroductionInterceptor
Subinterface of AOP Alliance MethodInterceptor that allows additional interfaces
to be implemented by the interceptor, and available via a proxy using that
interceptor.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
AspectJAfterAdvice
Spring AOP advice wrapping an AspectJ after advice method.
|
class |
AspectJAfterThrowingAdvice
Spring AOP advice wrapping an AspectJ after-throwing advice method.
|
class |
AspectJAroundAdvice
Spring AOP around advice (MethodInterceptor) that wraps
an AspectJ advice method.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
AfterReturningAdviceInterceptor
Interceptor to wrap an
AfterReturningAdvice . |
class |
MethodBeforeAdviceInterceptor
Interceptor to wrap am
MethodBeforeAdvice . |
class |
ThrowsAdviceInterceptor
Interceptor to wrap an after-throwing advice.
|
| 限定符和类型 | 方法和说明 |
|---|---|
MethodInterceptor |
AdvisorAdapter.getInterceptor(Advisor advisor)
Return an AOP Alliance MethodInterceptor exposing the behavior of
the given advice to an interception-based AOP framework.
|
MethodInterceptor[] |
AdvisorAdapterRegistry.getInterceptors(Advisor advisor)
Return an array of AOP Alliance MethodInterceptors to allow use of the
given Advisor in an interception-based framework.
|
MethodInterceptor[] |
DefaultAdvisorAdapterRegistry.getInterceptors(Advisor advisor) |
| 限定符和类型 | 类和说明 |
|---|---|
class |
AbstractMonitoringInterceptor
Base class for monitoring interceptors, such as performance monitors.
|
class |
AbstractTraceInterceptor
Base
MethodInterceptor implementation for tracing. |
class |
AsyncExecutionInterceptor
AOP Alliance
MethodInterceptor that processes method invocations
asynchronously, using a given AsyncTaskExecutor . |
class |
ConcurrencyThrottleInterceptor
Interceptor that throttles concurrent access, blocking invocations
if a specified concurrency limit is reached.
|
class |
CustomizableTraceInterceptor
MethodInterceptor implementation that allows for highly customizable
method-level tracing, using placeholders. |
class |
DebugInterceptor
AOP Alliance
MethodInterceptor that can be introduced in a chain
to display verbose information about intercepted invocations to the logger. |
class |
ExposeInvocationInterceptor
Interceptor that exposes the current
MethodInvocation
as a thread-local object. |
class |
JamonPerformanceMonitorInterceptor
Performance monitor interceptor that uses JAMon library to perform the
performance measurement on the intercepted method and output the stats.
|
class |
PerformanceMonitorInterceptor
Simple AOP Alliance
MethodInterceptor for performance monitoring. |
class |
SimpleTraceInterceptor
Simple AOP Alliance
MethodInterceptor that can be introduced
in a chain to display verbose trace information about intercepted method
invocations, with method entry and method exit info. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
DelegatePerTargetObjectIntroductionInterceptor
Convenient implementation of the
IntroductionInterceptor interface. |
class |
DelegatingIntroductionInterceptor
Convenient implementation of the
IntroductionInterceptor interface. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
CacheInterceptor
AOP Alliance MethodInterceptor for declarative cache
management using the common Spring caching infrastructure
(
Cache ). |
| 限定符和类型 | 类和说明 |
|---|---|
class |
JCacheInterceptor
AOP Alliance MethodInterceptor for declarative cache
management using JSR-107 caching annotations.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
EventPublicationInterceptor
Interceptor that publishes an
ApplicationEvent to all ApplicationListeners
registered with an ApplicationEventPublisher after each
successful method invocation. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
PersistenceExceptionTranslationInterceptor
AOP Alliance MethodInterceptor that provides persistence exception translation
based on a given PersistenceExceptionTranslator.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
AbstractRemoteSlsbInvokerInterceptor
Base class for interceptors proxying remote Stateless Session Beans.
|
class |
AbstractSlsbInvokerInterceptor
Base class for AOP interceptors invoking local or remote Stateless Session Beans.
|
class |
LocalSlsbInvokerInterceptor
Invoker for a local Stateless Session Bean.
|
class |
LocalStatelessSessionProxyFactoryBean
Convenient
FactoryBean for local Stateless Session Bean (SLSB) proxies. |
class |
SimpleRemoteSlsbInvokerInterceptor
Basic invoker for a remote Stateless Session Bean.
|
class |
SimpleRemoteStatelessSessionProxyFactoryBean
Convenient
FactoryBean for remote SLSB proxies. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
JmsInvokerClientInterceptor
MethodInterceptor for accessing a
JMS-based remote service. |
class |
JmsInvokerProxyFactoryBean
FactoryBean for JMS invoker proxies.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
MBeanClientInterceptor
MethodInterceptor that routes calls to an
MBean running on the supplied MBeanServerConnection . |
class |
MBeanProxyFactoryBean
Creates a proxy to a managed resource running either locally or remotely.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
OpenSessionInterceptor
Simple AOP Alliance
MethodInterceptor implementation that binds a new
Hibernate Session for each method invocation, if none bound before. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
HessianClientInterceptor
MethodInterceptor for accessing a Hessian service. |
class |
HessianProxyFactoryBean
FactoryBean for Hessian proxies. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
HttpInvokerClientInterceptor
MethodInterceptor for accessing an
HTTP invoker service. |
class |
HttpInvokerProxyFactoryBean
FactoryBean for HTTP invoker proxies. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
JaxWsPortClientInterceptor
MethodInterceptor for accessing a
specific port of a JAX-WS service. |
class |
JaxWsPortProxyFactoryBean
FactoryBean for a specific port of a
JAX-WS service. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
JndiRmiClientInterceptor
MethodInterceptor for accessing RMI services
from JNDI. |
class |
JndiRmiProxyFactoryBean
FactoryBean for RMI proxies from JNDI. |
class |
RmiClientInterceptor
MethodInterceptor for accessing conventional
RMI services or RMI invokers. |
class |
RmiProxyFactoryBean
FactoryBean for RMI proxies, supporting both conventional RMI services
and RMI invokers. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
RemoteInvocationTraceInterceptor
AOP Alliance MethodInterceptor for tracing remote invocations.
|
| 限定符和类型 | 类和说明 |
|---|---|
class |
AnnotationAsyncExecutionInterceptor
Specialization of
AsyncExecutionInterceptor that delegates method execution to
an Executor based on the Async annotation. |
| 限定符和类型 | 类和说明 |
|---|---|
class |
TransactionInterceptor
AOP Alliance MethodInterceptor for declarative transaction
management using the common Spring transaction infrastructure
(
PlatformTransactionManager ). |
| 限定符和类型 | 类和说明 |
|---|---|
class |
MethodValidationInterceptor
An AOP Alliance
MethodInterceptor implementation that delegates to a
JSR-303 provider for performing method-level validation on annotated methods. |


Studied music technology in college (CSound, Max/MSP, SuperCollider)
Freelance web dev work in grad school
PhD in Music Composition (Univ. of Florida, 2005)
8 years as a music professor
Instructor at Code Fellows 2015-2019
Current
Software Development Engineer at Microsoft since June 2019
Front end dev for Business Applications Group
Dynamics 365, Power BI, and many others
Framework: ASP.NET 4.5.2
Details: C#, jQuery, LESS, Foundation
BEFORE
Have a plan
"Plan your work and work your plan"
You can always change your plan; it is much harder to try to impose order in the middle of chaos.

It is never too soon to network, part 1
I first learned about Code Fellows through a friend of a friend.
It is never too soon to network, part 2
I chose Code Fellows because I had an old friend who was teaching here
Be brave
Reinventing your life is scary. Be ready for that.
Live in the future, not the past
Stop identifying as what you used to do. Identify yourself based on what you are going to do.
You can do this
You can. You can do this. Believe in yourself.
 Negect nothing. Learn everything. Be the tortoise, not the hare.
CHROME DEV TOOLS
Getting comfortable here is everything as a front-end developer. You will spend more time here than you will in the code.
Learn how it all works.
Be a Git boss
There is no better way to appear instantly knowledgeable, and to be immediately useful, than to have command of version control.
Do not make Git look like Guitar Hero!
Commit to how Cf teaches Agile
Agile workflow can take a lot of forms. What is taught here is a middle-strict path, IMHO. Embrace it. Being comfortable in your first standups at a new job immediately conveys your readiness.
It is OK to ask
Your instructors and TAs are here to help you, and the most direct way they can do that is to answer your questions. So, by all means, ask!!!
(Same thing applies on the job!)
Be attentive to UI/UX
Think about a time you used an interface that sucked.
Think about an interface that was awesome.
Look at your own project as someone new to it. What would they think?
CF is way more intense than the gig
The job is not as hard as this. There are some incredibly hard moments. There are bad days. There are some moments you feel useless and lost. CF is harder than all of those.
 You are better equipped for it when you take care of yourself. Sleep. Food. Hydrate. Exercise. Breaks.
Keep with the networking!
Take seriously the networking parts of career coaching. Do the coffee meetings. Go to the meetups. Do lots of both of them. It matters a lot.
TAKE CAREER COACHING SERIOUSLY
Coding is only part of the job. Career coaching gets you ready for the rest of it.
You can do this
You can.
AFTER
Keep coding! Make things!
Does not have to be big or fancy. Just make it done. Then do something else.


Now that the mappool and mod brackets have been set, you have to finalize the mappool by clicking on the button below.


application
Located in File: Program_Root/proc/application.class.php
Application
Sven Klose<EMAIL_ADDRESS>public
| Class Variable Summary |
$db
Default Value:
|
$session
Default Value:
|
$_event
Default Value:
|
$_handlers
Default Value:
|
$_null_handler
Default Value:
|
$_subargs
Default Value:
|
$_tokens
Default Value:
|
$_types
Default Value:
|
| Inherited Class Variable Summary |
| Inherited Method Summary |
| Method Summary |
void add_function ( $handler, [$token_type = TOKEN_DEFAULT] )
Register event handler. |
void add_method ( $method, &$object, [$token_type = TOKEN_DEFAULT] )
Register event handler method in particular object.. |
void &arg ( $name, [$flags = 0] )
Get an argument from current event. |
void &args ( )
Get all arguments. |
void &call ( $e )
Call batch of events. |
void &call_single ( &$e )
Call single event. |
void close ( )
Shutdown application. |
void application_define_database ( )
Define tables for application class. |
void &event ( )
Return reference to last triggered event. |
void link ( $e )
Create URL containing an event that is triggered when the URL is requested. |
void return2caller ( )
Return from a subsession. |
void run ( )
Execute application. |
void set_null_handler ( $handler )
Set handler name for null event. |
void set_timeout ( $seconds )
Set time to live until auto-logout. |
void _application_dump ( )
|
| Variable Detail |
| Method Detail |
void add_function ( $handler, [$token_type = TOKEN_DEFAULT] )
Register event handler.- string $handler: Name of event handler.
- integer $token_type: Token type to use for links to the function.
public
void add_method ( $method, &$object, [$token_type = TOKEN_DEFAULT] )
Register event handler method in particular object..- string $method: Name of event handler.
- object $object: Reference to object.
- integer $token_type: Token type to use for links to the method.
public
void &arg ( $name, [$flags = 0] )
Get an argument from current event.- string $name: Name of argument.
- integer $flags: Type of argument (TOKEN_SUB | TOKEN_OPTIONAL).
public
void &args ( )
Get all arguments.array Array of arguments keyed by name.
public
void &call ( $e )
Call batch of events.- object $e: event Event to trigger.
public
void &call_single ( &$e )
Call single event.Even if a next event is defined by use of event::set_caller() this function will ignore it. Use call() instead.
- object $e: event Event to trigger.
public
void close ( )
Shutdown application.public
void application_define_database ( )
Define tables for application class.public
void &event ( )
Return reference to last triggered event.object event
public
void link ( $e )
Create URL containing an event that is triggered when the URL is requested.- object $e: event Event object.
string URL to trigger event.
public
void return2caller ( )
Return from a subsession.public
void run ( )
Execute application.void This function never returns.
public
void set_null_handler ( $handler )
Set handler name for null event.Use this method before run().
- string $handler:
application::run()
public
void set_timeout ( $seconds )
Set time to live until auto-logout.- integer $seconds: Number of seconds which must be >1.
public
void _application_dump ( )


|
U.are.U SDK
3.2
DigitalPersona U.are.U SDK
|
Define fingerprint minutiae view (FMV) properties. More...
#include <dpfj.h>
Data Fields | |
| DPFJ_FINGER_POSITION | finger_position |
| unsigned int | view_number |
| DPFJ_SCAN_TYPE | impression_type |
| unsigned int | quality |
| unsigned int | minutia_cnt |
| unsigned int | ext_block_length |
| unsigned char * | ext_block |
Define fingerprint minutiae view (FMV) properties.
Structure defines minutiae view properties for FMVs in ANSI 378-2004 and ISO 19794-2-2005 formats.
| unsigned char* ext_block |
pointer to the extended data block
| unsigned int ext_block_length |
length of the extended data block, in bytes
| DPFJ_FINGER_POSITION finger_position |
0 - 10, from Table 5 in "ANSI INSITS 381-2004"
| DPFJ_SCAN_TYPE impression_type |
Table 2 in "ANSI INSITS 378-2004"
| unsigned int minutia_cnt |
number of minutiae
| unsigned int quality |
1 - 100
| unsigned int view_number |
0 - 15


Products are aggregated by SKU and then gross sales and gross units are presented for a given time domain.
View ReportSales information is aggregated by payment method over a given time domain.
View ReportSales information is aggregated by shipping method over a given time domain.
View ReportSales information is aggregated by email address over a given time domain. This report is limited to 20 results.
View ReportSales information is aggregated by email address over a given time domain. This report is limited to 20 results.
View ReportSales information for the US is aggregated by state over a given time domain.
View Report


Due to massive abuse by spammers the subscriptions is centralized for email lists of all projects hosted on Codehaus. Users need to register and manage email subscriptions.


Zookeep
Create a list of zoo animals using Objects and Arrays, and create a web page to display their information.
Description
Please note: you will be doing your work on the
gh-pages
branch (see instructions below). If you clone the repository and have no files, remember to rungit checkout gh-pages
.
In this assignment, we’ll be building a homepage for a zoo. The homepage will have several features, including a gallery of zoo animals, a “featured animal of the week”, and a list of the animals sorted by their ages.
An “index.html” file with basic styling has already been created for you, as well as a file called “render-helpers.js” containing several predefined functions for displaying the information on the page.
You will create a new file with an array containing the animals’ information, and use various array methods to sort, filter, and organize lists of animals, and display their information by calling the predefined functions.
Create zoo.js with the animals
array
Begin by creating a file called “zoo.js”. Inside “zoo.js”, declare a variable called animals
, which is an Array containing an
Object for each of the
Animals in the table below.
Each animal should be an Object that contains the following properties:
name
: a String with the animal’s name from the table belowcommonName
: a String with the common name for the animal’s speciesspecies
: a String with the animal’s official species namelocation
: a String containing the area in the zoo where the animal residesage
: a Number representing the animal’s age in yearsimage
: a String containing the file name for the animal’s image
For instance, the object for “Pip” the red river hog would be:
{
name: "Pip",
commonName: "Red river hog",
species: "Potamochoerus porcus",
location: "Fagan Valley",
age: 4,
image: "Red_river_hog.jpg"
}
Sort and display the animal gallery
Use sort() to sort the animals
array based on their name
.
After the animals
array is sorted, call the displayAnimalGallery()
function, passing in the (sorted) animals
array. For example:
displayAnimalGallery(animals);
Run node test
to see if everything is working correctly so far, and also take a look at “index.html” in a browser. If everything works correctly, you should see a gallery of the zoo animals. Woot!
Display the featured animal
The featured animal of the week is Taylor, the Swift fox. Use
filter() to create a new array containing only Taylor, and store this array in a variable called featured
. Use
bracket notation (
featured[index]
) to retrieve the first (and only) array element, and pass it to the displayFeaturedAnimal()
function.
Map, sort, and display animal ages
Use map() to create a new array containing only the animals’
name
, commonName
and age
, and store the new array in a variable called
ages
. Use sort() to sort ages
based on the animals’ age in ascending order (smallest to largest) . Call the
displayAnimalAges()
function, passing in the ages
array.
Animals
| Name | Common Name | Species | Location | Age | Image |
|---|---|---|---|---|---|
| Mooney | Blue monkey | Cercopithecus mitis | Smith Jungle | 2 | Blue_monkey.jpg |
| Sami | Common squirrel monkey | Saimiri sciureus | Smith Jungle | 2 | Common_squirrel_monkey.jpg |
| Chester | Black howler monkey | Alouatta caraya | Smith Jungle | 5 | Black_howler_monkey.jpg |
| Scarborough | Scarlet macaw | Ara macao | Smith Jungle | 3 | Scarlet_macaw.jpg |
| Maverick | Tufted puffin | Fratercula cirrhata | Birai Aquarium | 2 | Tufted_puffin.jpg |
| Puck | Little penguin | Eudyptula minor | Birai Aquarium | 4 | Little_penguin.jpg |
| Tweed | Leafy sea dragon | Phycodurus eques | Birai Aquarium | 1 | Leafy_seadragon.jpg |
| Taylor | Swift fox | Vulpes velox | Rodeheaver Desert | 9 | Swift_fox.jpg |
| Trip | Cape thick-knee | Burhinus capensus | Rodeheaver Desert | 5 | Cape_thick-knee.jpg |
| Helios | Mantled guereza | Colobus guereza | Fagan Valley | 11 | Mantled_guereza.jpg |
| Asteria | Western lowland gorilla | Gorilla gorilla gorilla | Fagan Valley | 5 | Western_lowland_gorilla.jpg |
| Perses | Wolf's mona monkey | Cercopithecus wolfi | Fagan Valley | 10 | Wolfs_mona_monkey.jpg |
| Pip | Red river hog | Potamochoerus porcus | Fagan Valley | 4 | Red_river_hog.jpg |
| Skrytnaya | Amur leopard | Panthera pardus orientalis | Kond Cat Complex | 8 | Amur_leopard.jpg |
| Matadi | African lion | Panthera leo | Kond Cat Complex | 6 | African_lion.jpg |
| Kimani | Siberian tiger | Panthera tigris altaica | Kond Cat Complex | 9 | Siberian_tiger.jpg |
| Antipode | Polar bear | Ursus maritimus | Moser Canyon | 11 | Polar_bear.jpg |
Extra Credit Options
-
There are 6 different exhibits at the zoo: Moser Canyon, Fagan Valley, Smith Jungle, Kond Cat Complex, Birai Aquarium, and Rodeheaver Desert. Create a new page, “exhibits.html”, that lists or displays a gallery containing the animals for each exhibit.
-
Instead of using “resources/render-helpers.js” and “resources/style.css”, write your own HTML, CSS and JavaScript to render the featured animal, gallery, and animal ages listing. Be creative and be awesome.
Higher-Order Functions
Higher-order functions are functions that either accept functions as parameters or return a function as a return value.
Create a new branch by running the command git checkout -b higher-order-functions
. In this branch, edit your “zoo.js” and add three new higher-order functions:
sortBy(propertyName)
The sortBy
function returns a compare function that sorts elements based on the value of each element's propertyName
property.
For instance, calling sortBy('name')
, will return a function that can be passed to animals.sort(...)
, and will sort the animals based their name
property.
Use your new sortBy
function to create compare functions to sort the animals
array by their "name"
property, and the ages
array to sort by "age"
.
propertyEquals(propertyName, value)
The propertyEquals
function returns a function that returns true
if an element has a property at propertyName
with the specified value
.
For instance, calling propertyEquals('name', 'Taylor')
will return a function that can be passed to animals.filter(...)
to generate a new array containing only Taylor
the Swift fox. Use this function to create
the featured
animal array.
pick(p1[, p2[, p3...]])
The pick
function returns a function that returns a new object containing only the properties specified.
var furniture = [{
name: "chair",
legs: 4,
material: "wood"
}, {
name: "stool",
legs: 3,
material: "metal"
}];
var noLegs = furniture.map( pick('name', 'material') );
console.log( noLegs );
// => [{name: "chair", material: "wood"}, {name: "stool", material: "metal"}]
The pick
function should accept any number of arguments (hint: use the
arguments
object inside your function).
Use the pick
function to create the function passed to animals.map(...)
when creating a the ages
array.
When you have created and used all three higher-order functions, commit your changes to the higher-order-functions branch and push it to GitHub by running git push -u origin higher-order-functions
. Create a new pull request from your
higher-order-functions
branch to submit your assignment.
Completing and submitting the assignment
- To begin, fork this repository.
-
Create a new Cloud9 workspace from your new repository.
-
Alternatively, you may clone your new repository to your computer by running:
git clone https://github.com/YOUR_GITHUB_USERNAME/zookeep
-
-
After cloning (in Cloud9 or on your computer), check out the “gh-pages” branch by running:
git checkout gh-pages
-
Modify the files and commit changes to complete your solution.
- Run
node test
to verify that all tests pass. - Push/sync the changes up to GitHub. Your assignment will now be visible at http://YOUR_GITHUB_USERNAME.github.io/zookeep/.
- Create a pull request on the original repository to turn in the assignment.
- Create a separate branch for the extra credit options.
You are also welcome commit, push, and create a pull request before you’ve completed your solution. You can ask questions or request feedback there in your pull request. Just mention @barberboy
in your comments to
get my attention.
References
- Array
- Object
- array.sort(compareFn) - sort the elements of an array based on the provided comparison function
- array.filter(testFn) - create a new array containing only the elements for which the test function returns
true
- array.map(mappingFn) - create a new array containing the elements returned from the mapping function


Breakpoints - due to rounding in the damage formula, damage dealt in PGo isn't linear
Instead, there are certain points for combinations of attacker and defender level, IVs, and moves, where the damage per hit of the move is, sometimes significantly, increased.
-
LVL - your pokemon's current level and levels at which breakpoints occur
-
{% include 'pgo/includes/stardust_icon.html' %} - stardust required to level up from current level to breakpoint (k stands for thousand)
-
{% include 'pgo/includes/candy_icon.html' %} - candy required to level up from current level to breakpoint
-
- quick move's damage per hit
Unlike charge move breakpoints, quick move breakpoints are usually highly impactful.
-
- charge move's damage per hit
You can toggle the button to display all charge move breakpoints.
-
DPS - stands for damage per second
The percentages in brackets are relative to a perfect, maxed specimen of the selected pokemon.
DPS is calculated using the damage formula, factoring in the charge up, and use, of charge moves translated into "cycles" which are then divided by the duration of the moves required to perform a single cycle.
-
# - the aproximated number of trainers required to win the raid
Assumes that every trainer is using the exact, selected pokemon. This metric should not be relied upon when attempting to shortman raids, it's here to help figure out by how much the pokemon is improved when reaching a breakpoint.
Top Counters - a quick reference list of pokemon which counter the selected defender
It features counters ranked by their damage output. However, the defender's moves, resistances, and the selected weather are also accounted for. Feel free to adjust the IV and level of the attackers in the list. The counters are pitted against level 40 pokemon, unless the defender can be a raid boss, where you are given the option of selecting a tier for more accurate results.
All calculations are purely math based. DPS and the required number of trainers are approximated. For high quality battle simulations, visit
Pokebattler.


EPA Adaptation Planning
Climate change is already affecting communities, livelihoods, and environments. In response, many federal agencies are taking action to help Americans adapt to current and future risks. EPA is facilitating climate change adaptation efforts in the United States and abroad through:
- Climate change and water resources projects - EPA works with state, tribal, and local governments and public and private stakeholders to understand and respond to the impacts of climate change on water resources.
- Climate adaptation in the Superfund program - EPA's Superfund program supports climate change adaptation planning as standard operating practice in site cleanups.
- State and Local Climate and Energy Program - EPA provides technical assistance, analytical tools, and outreach support to state, local, and tribal governments, including information on climate adaptation and resilience planning.
- Adapting Buildings for Indoor Air Quality in a Changing Climate - EPA provides information on severe weather and indoor air quality, weatherization and ventilation strategies, and tips to help improve building resilience and prepare for weather extremes.
- International climate adaptation - EPA facilitates information-sharing on climate adaptation with communities and city planners in the developing world, which is particularly vulnerable to climate change.
EPA is integrating climate adaptation planning into its programs, policies, rules, and operations to continue fulfilling its mission of protecting human health and the environment, even as the climate changes. EPA’s efforts complement initiatives throughout the entire federal government to promote climate adaptation planning.
- EPA's Policy Statement on Climate Change Adaptation sets out several actions to guide EPA in building on the progress it has already made to promote climate resilience and adaptation.
- EPA's Climate Change Adaptation Plan identifies ways in which climate change could affect EPA's ability to fulfill its mission.
- EPA Program and Regional Office Plans detail how each office will integrate climate adaptation into its planning and work.
EPA Program Office Climate Change Adaptation Implementation Plans:
- Office of Administration and Resource Management
- Office of Air and Radiation
- Office of Chemical Safety and Pollution Prevention
- Office of International and Tribal Affairs
- Office of Land and Emergency Management
- Office of Research and Development
- Office of Water
EPA Regional Office Climate Change Adaptation Implementation Plans:
- Region 1 - CT, MA, ME, NH, RI, VT
- Region 2 - NJ, NY, PR, USVI
- Region 3 - DE, DC, MD, PA, VA, WV
- Region 4 - AL, FL, GA, KY, MS, NC, SC, TN
- Region 5 - IL, IN, MI, MN, OH, WI
- Region 6 - AR, LA, NM, OK, TX
- Region 7 - IA, KS, MO, NE
- Region 8 - CO, MT, ND, SD, UT, WY
- Region 9 - AZ, CA, HI, NV, Pacific Islands
- Region 10 - AK, ID, OR, WA


Designing Resilient Systems with Spring Boot, Spring Cloud, and Cloud Foundry
Josh
Long, Kenny Bastani
Learn what separates traditional enterprise software development from the likes of Amazon, Netflix, and Etsy.
Order on AmazonWhat separates the traditional enterprise from the likes of Amazon, Netflix, and Etsy? Those companies have refined the art of cloud native development to maintain their competitive edge and stay well ahead of the competition. This practical guide shows Java/JVM developers how to build better software, faster, using Spring Boot, Spring Cloud, and Cloud Foundry.
Many organizations have already waded into cloud computing, test-driven development, microservices, and continuous integration and delivery. Authors Josh Long and Kenny Bastani fully immerse you in the tools and methodologies that will help you transform your legacy application into one that is genuinely cloud native.
In four sections, this book takes you through:


| DOSE: T+ 0:00 |
2.0 g |
oral |
Mushrooms |
(fresh) |
| T+ 2:00 |
2 lines |
insufflated |
Cocaine |
(powder / crystals) |
| T+ 3:15 |
2 lines |
insufflated |
Cocaine |
(powder / crystals) |
It was Friday night and most of my friends were at this party that I wasn't invited to so I was a bit down in the dumps and bored. This guy I know called J calls me up and say's let's hang out, I don't really feel like it so I stay home for a while and eat 2 grams of magic mushrooms out of self-pity.
It all begins with the mushrooms.
0:00 Chew on mushrooms for about 5 minutes on an empty stomach.
0:10 Smoke a little bit of catnip.
0:40 Mushrooms have taken a hold, I feel relaxed and start getting heavy feelings of tranquilisation... I've taken mushrooms about 20 times so I don't have very hard trips off 2 grams anymore. My friend J calls, 'Come on man, we'll score some mushrooms' he says.
1:00 I find myself walking with a big grin on my face up the street to meet J.
1:20 The mushrooms are making me a little bit unbalanced, giggly, I feel good inside, like Ive drunk about 5 beers. J announces, 'Man, we're gonna snort some coke.' I'm a little nervous Ive never snorted coke and that is a definite step up in the drug chain, I feel the drug chain starts at pot and goes: pot-mush-ecstasy-DXM/acid-crystal meth-coke-heroin. With lots more in between.. Anyhow.. I was only at the acid stage and was taking a huge step into the world of heavy drugs. However... I'm bored, not invited to a party and feel like trying something new, feeling open-minded, happy, and experimental.
1:40 A car pulls up, we hop in, a guy hands us the coke and some pot.
2:00 J rails a line, his eyes glaze a bit. He says his throat hurts. I'm excited and rail 2 lines at once. My throat was burning so bad. It felt like Id swallowed battery acid, my eyes watered, and I got a weird feeling of disgust.
2:04 Wow, I lost all physical feeling in my body except for a slight discomfort in my throat. I feel like I am bullet-proof, I get a huge energy rush.
2:10 Walking very fast to Starbucks, we could run but we stop ourselves.
3:00 The speedy feeling starts to end, followed by a mushroom feeling. I notice with the coke that it pushed the mushroom feeling away. I felt very fast, invincible, and pain-free, I noticed I enjoyed the trip if I was walking or moving fast, however I felt nauseous and disgusting when in a movie store or sitting for a moment.  But I'm having a lot of fun, this drug is very different to Pot, and Mush and ecstasy and hallucinogens. It isn't a funny drug really. It didn't make me giggle. It gave me courage, strength, speed, and more. All in all it was a lot of fun.
4:15 those lines die out into a mushroom feeling which is a little bit empty.
Next 4 hours Very empty feelings.
Next day I wanted to do it again but firmly said no.
Be careful if you are doing cocaine. One time and I understand the addictive potential.
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.


qiskit.unrollers._unrollerbackend のソースコード
# -*- coding: utf-8 -*-
# Copyright 2017, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""
Base backend object for the unroller that raises BackendError.
"""
from ._backenderror import BackendError
[ドキュメント]class UnrollerBackend(object):
"""Backend for the unroller that raises BackendError.
This backend also serves as a base class for other unroller backends.
"""
# pylint: disable=unused-argument
[ドキュメント] def __init__(self, basis=None):
"""Setup this backend.
basis is a list of operation name strings.
"""
if basis:
basis = []
[ドキュメント] def set_basis(self, basis):
"""Declare the set of user-defined gates to emit.
basis is a list of operation name strings.
"""
raise BackendError("Backend set_basis unimplemented")
[ドキュメント] def version(self, version):
"""Print the version string.
v is a version number.
"""
raise BackendError("Backend version unimplemented")
[ドキュメント] def new_qreg(self, qreg):
"""Create a new quantum register.
qreg = QuantumRegister object
"""
raise BackendError("Backend new_qreg unimplemented")
[ドキュメント] def new_creg(self, creg):
"""Create a new classical register.
creg = ClassicalRegister object
"""
raise BackendError("Backend new_creg unimplemented")
[ドキュメント] def define_gate(self, name, gatedata):
"""Define a new quantum gate.
name is a string.
gatedata is the AST node for the gate.
"""
raise BackendError("Backend define_gate unimplemented")
[ドキュメント] def u(self, arg, qubit, nested_scope=None):
"""Fundamental single qubit gate.
arg is 3-tuple of Node expression objects.
qubit is (regname,idx) tuple.
nested_scope is a list of dictionaries mapping expression variables
to Node expression objects in order of increasing nesting depth.
"""
# pylint: disable=invalid-name
raise BackendError("Backend u unimplemented")
[ドキュメント] def cx(self, qubit0, qubit1):
"""Fundamental two qubit gate.
qubit0 is (regname,idx) tuple for the control qubit.
qubit1 is (regname,idx) tuple for the target qubit.
"""
# pylint: disable=invalid-name
raise BackendError("Backend cx unimplemented")
[ドキュメント] def measure(self, qubit, bit):
"""Measurement operation.
qubit is (regname, idx) tuple for the input qubit.
bit is (regname, idx) tuple for the output bit.
"""
raise BackendError("Backend measure unimplemented")
[ドキュメント] def barrier(self, qubitlists):
"""Barrier instruction.
qubitlists is a list of lists of (regname, idx) tuples.
"""
raise BackendError("Backend barrier unimplemented")
[ドキュメント] def reset(self, qubit):
"""Reset instruction.
qubit is a (regname, idx) tuple.
"""
raise BackendError("Backend reset unimplemented")
[ドキュメント] def set_condition(self, creg, cval):
"""Attach a current condition.
creg is a name string.
cval is the integer value for the test.
"""
raise BackendError("Backend set_condition unimplemented")
[ドキュメント] def drop_condition(self):
"""Drop the current condition."""
raise BackendError("Backend drop_condition unimplemented")
[ドキュメント] def start_gate(self, name, args, qubits, nested_scope=None, extra_fields=None):
"""Start a custom gate.
Args:
name (str): name of the gate.
args (list[Node]): list of expression nodes.
qubits (list[tuple(str, int)]): list of (regname, idx) tuples.
nested_scope (list[dict()]): list of dictionaries mapping expression
variables to Node expression objects in order of increasing
nesting depth.
extra_fields (dict(str, obj)): is a dictionary allowing the extension
or overriding of the gate instruction properties.
Raises:
BackendError: if the gate is not part of the basis.
"""
raise BackendError("Backend start_gate unimplemented")
[ドキュメント] def end_gate(self, name, args, qubits, nested_scope=None):
"""End a custom gate.
name is name string.
args is list of Node expression objects.
qubits is list of (regname, idx) tuples.
nested_scope is a list of dictionaries mapping expression variables
to Node expression objects in order of increasing nesting depth.
"""
raise BackendError("Backend end_gate unimplemented")
[ドキュメント] def get_output(self):
"""Returns the output generated by the backend.
Depending on the type of Backend, the output could have different types.
It must be called once the Qasm parsing has finished
"""
raise BackendError("Backend get_output unimplemented")


Paid content of TEAM Mentor is distributed via a zip file. However, users can sometimes see this error. This error will be shown by Microsoft unzip program if the destination path is greater then 260 characters. This is the limit in most Windows APIs. To fix, unzip the files into c:\tmp or similar directory with a short name. This will shorten the destination path and allow the unzip operation. Note that other unzip programs such as WinRar will show correct error message, reflecting the file path limit being exceeded.
This is caused by the application pool in IIS to be set to the 2.0 CLR. The fix it to make it 4.0
Library\Library_Data\XmlDatabase\Application_Logs directory contains system logs that are periodically written by TEAM Mentor. Please note that the logs are not written real time, however they are written when an error is detected.
TEAM Mentor 4.0 Logs are written in two places. They are written in real time.
TM40\TM_4_0_GraphDB\.logs
TM40\TM_4_0_Design\.logs


Hey, I'm Victor!
I create apps for the Linux platform, most of which are based on the Qt toolkit.
--- project: Victor Tran projectIcon: /images/smile.png ---
Text Editor
Easier than a chisel.
Desktop Environment
Down at its core, it's up for anything.
Audio Player
Keeps your computer beating.
I create apps for the Linux platform, most of which are based on the Qt toolkit.
Help make my apps available to the world. Join in the translation efforts!
Translate >{{ post.excerpt }}


Hello! I'm Hrishi, a Software Engineer working at Veritas, Pune. I like to put data structures and algorithms to good use to solve problems. My areas of interest include distributed systems, cloud and networks. Love getting involved in the design aspects of software development.
I fancy a good conversation on life and sports over a cup of coffee. Always ready for an argument involving football and Man United. Don't understand politics, but sometimes I pretend I do. Like to go on long walks with my playlist of 70s hindi music and Pink Floyd.  Sometimes I write, more often I code.


What will this C++ code output?
Having some trouble on this problem, what is the output for this code (Assuming its part of a working program, assuming proper headers and whatnot)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
for (int i = 0; i < 5; i++)
{
for (int j = 0; j <= i; j++)
{
cout << "*";
}
cout << endl;
}
since you're starting at i = 0 and going as long as i is <5, there will be five lines. On each of these lines, i decides how many * there will be, because the loop with j will only print * as long as j is <= i. So the the first loop through of i, i = 0, and the first loop through of j, j=0. Since j is <= i, an * will be printed and j++. The j loop will not run again because j now equals 1 which is not <= i. The line is ended and the second loop of i is begun. This continues until i<5 is no longer true.


A platform to create and exchange NFTs on the Polygon. This project is part of the Binance Hackathon to create a decentralized application on the Polygon.
Our approach for this project is first to develop an MVP with the following objectives:
Although much effort has been made to democratize the NFTs, there are still many points to be improved, especially concerning the ease of use for creating tokens for digital artwork. We will bridge the gap to to allow users to be onboarded from their traditional payment methods and make it no-friction, easy to use platform.
Tutorials to use the platform will either be directly integrated as a sandbox and explanatory videos to explain in a simple way the use of our platform.
Beyond natively digital assets, NFTs are digital representations of physical non-fungible assets. This specific use case also allows independent artists or certain luxury brands to create a certificate of origin attesting to the characteristics in a digital way.
Even if there are more and more NFTs users, there are still a lot of acquisition levers possible on platforms like TikTok or Instagram.
| Marketplace Liquidity Mining | 60,000,000 |
| Marketing and Airdrop | 20,000,000 |
| Team | 20,000,000 |
| Total | 100,000,000 |
The use of the platform makes it possible to earn the token that will be distributed to the users of the platform.


Getting started
Installation instructions
The next steps provides the easiest and recommended way to set up your environment to use pandas. Other installation options can be found in the advanced installation page.
-
Download Anaconda for your operating system and the latest Python version, run the installer, and follow the steps. Please note:
- It is not needed (and discouraged) to install Anaconda as root or administrator.
- When asked if you wish to initialize Anaconda3, answer yes.
- Restart the terminal after completing the installation.
Detailed instructions on how to install Anaconda can be found in the Anaconda documentation.
-
In the Anaconda prompt (or terminal in Linux or MacOS), start JupyterLab:
-
In JupyterLab, create a new (Python 3) notebook:
-
In the first cell of the notebook, you can import pandas and check the version with:
-
Now you are ready to use pandas, and you can write your code in the next cells.
Tutorials
You can learn more about pandas in the tutorials, and more about JupyterLab in the JupyterLab documentation.
Books
The book we recommend to learn pandas is Python for Data Analysis, by Wes McKinney, creator of pandas.


You are about to delete your user account.
This cannot be undone, not even by admins.
Before continuing, please be aware:
- Your contributions will be made anonymous and you will no
longer have any control over them nor any rights to change them.
- If you want to edit or delete any contributions, do so
before deleting your account.
- Deleting your account cannot be undone. If you click the Delete button
below, there's no going back.


While playing around with the pspw module using nwchem 6.3 I noticed that while the jobs would finish without issue on my AMD Athlon II X3 445, AMD Phenom II X6 1055T and Intel i5-2400 nodes, they failed to converge on my FX8150 and FX8350 nodes. Instead, the structures blew up. I've tried no external blas, openblas and acml (int; with and without fma4), all with the same results. However, the jobs do converge on the bulldozer and vishera (FX 8x50) cpus when using nwchem 6.1.1, with would indicate an issue specific to nwchem 6.3.
Edit: I've never noticed any issues using the DFT module -- it's only pspw that's causing the issue, and only in nwchem 6.3
(There's also a very minor typo in the nwchem code (src/band/minimizer/band_minimizer.F) -- it says Grassman/Stiefel with one n in Grassmann, rather than two.)
I'm not trying to do any production work in pspw, but rather I just want to report a possible bug.
The following job was used (it's just a random test job that triggers the issue):
scratch_dir /home/me/scratch
Title "pspw test job"
Start biphenyl_cation_twisted-1
echo
charge 1
geometry autosym units angstrom
C 0.00000 -3.54034 0.00000
C -1.20296 -2.84049 -0.216000
C -1.20944 -1.46171 -0.206253
C 0.00000 -0.721866 0.00000
C 1.20944 -1.46171 0.206253
C 1.20296 -2.84049 0.216000
C 0.00000 0.721866 0.00000
C 1.20944 1.46171 -0.206253
C 1.20296 2.84049 -0.216000
C -1.20944 1.46171 0.206253
C 0.00000 3.54034 0.00000
C -1.20296 2.84049 0.216000
H 0.00000 -4.62590 0.00000
H -2.12200 -3.38761 -0.395378
H -2.13673 -0.938003 -0.401924
H 2.12200 -3.38761 0.395378
H 2.12200 3.38761 -0.395378
H -2.13673 0.938003 0.401924
H 0.00000 4.62590 0.00000
H -2.12200 3.38761 0.395378
H 2.13673 0.938003 -0.401924
H 2.13673 -0.938003 0.401924
end
ecce_print /home/me/neon/job1056/ecce.out
nwpw
simulation_cell
lattice_vectors
2.000000e+01 0.000000e+00 0.000000e+00
0.000000e+00 2.000000e+01 0.000000e+00
0.000000e+00 0.000000e+00 2.000000e+01
end
mult 2
np_dimensions -1 -1
tolerances 1e-7 1e-7
end
driver
default
end
task pspw optimize
The following nodes worked fine:
AMD Athlon II X3, 8 Gb RAM
AMD Phenom II X6, 8 Gb RAM
Intel i5-2400, 16 Gb RAM
The final structure was this:
22
Structure 1
C 0.00000 -3.43835 0.00000
C -1.17952 -2.76904 -0.27325
C -1.18743 -1.41309 -0.25617
C 0.00000 -0.70724 0.00000
C 1.18743 -1.41309 0.25617
C 1.17952 -2.76904 0.27325
C 0.00000 0.70724 0.00000
C 1.18743 1.41309 -0.25617
C 1.17952 2.76904 -0.27325
C -1.18743 1.41309 0.25617
C 0.00000 3.43835 0.00000
C -1.17952 2.76904 0.27325
H 0.00000 -4.51201 0.00000
H -2.07930 -3.32101 -0.49999
H -2.09224 -0.87241 -0.48912
H 2.07930 -3.32101 0.49999
H 2.07930 3.32101 -0.49999
H -2.09224 0.87241 0.48912
H 0.00000 4.51201 0.00000
H -2.07930 3.32101 0.49999
H 2.09224 0.87241 -0.48912
H 2.09224 -0.87241 0.48912
cat nwch.nwout|grep "Total PSPW energy"
Total PSPW energy : -0.7403126784E+02
Total PSPW energy : -0.7403944621E+02
Total PSPW energy : -0.7404121161E+02
Total PSPW energy : -0.7404171961E+02
Total PSPW energy : -0.7404173291E+02
Total PSPW energy : -0.7404176133E+02
Total PSPW energy : -0.7404176138E+02
Total PSPW energy : -0.7404178719E+02
Total PSPW energy : -0.7404179836E+02
Total PSPW energy : -0.7404181219E+02
Total PSPW energy : -0.7404181529E+02
Total PSPW energy : -0.7404183416E+02
Total PSPW energy : -0.7404183384E+02
Total PSPW energy : -0.7404182554E+02
Total PSPW energy : -0.7404183894E+02
Total PSPW energy : -0.7404184777E+02
Total PSPW energy : -0.7404184781E+02
Total PSPW energy : -0.7404185248E+02
Total PSPW energy : -0.7404185252E+02
Total PSPW energy : -0.7404183390E+02
Total PSPW energy : -0.7404185160E+02
Total PSPW energy : -0.7404185179E+02
Total PSPW energy : -0.7404185172E+02
Total PSPW energy : -0.7404185163E+02
Total PSPW energy : -0.7404185167E+02
The step/energy data for the first geometry cycle behaves:
== Energy Calculation ==
====== Grassmann conjugate gradient iteration ======
>>> ITERATION STARTED AT Wed Nov 13 14:25:02 2013 <<<
iter. Energy DeltaE DeltaRho
------------------------------------------------------
- 15 steepest descent iterations performed
10 -0.3692699170E+02 -0.26760E+01 0.53590E-02
- 10 steepest descent iterations performed
20 -0.6158204365E+02 -0.41876E+00 0.31092E-03
- 10 steepest descent iterations performed
30 -0.7003979846E+02 -0.12758E+00 0.42769E-04
- 10 steepest descent iterations performed
40 -0.7263392229E+02 -0.34324E-01 0.21020E-04
- 10 steepest descent iterations performed
50 -0.7336419645E+02 -0.13767E-01 0.10561E-04
- 10 steepest descent iterations performed
60 -0.7380342913E+02 -0.14352E-01 0.99511E-06
- 10 steepest descent iterations performed
70 -0.7397649640E+02 -0.61870E-02 0.24790E-04
80 -0.7401568945E+02 -0.25650E-02 0.10674E-04
[..]
270 -0.7403126784E+02 -0.99193E-07 0.18719E-09
*** tolerance ok. iteration terminated
>>> ITERATION ENDED AT Wed Nov 13 14:49:47 2013 <<<
The following nodes lead to exploding structures:
AMD FX8150, 32 Gb RAM
AMD FX8350, 32 Gb RAM
22
Structure 23
C 0.00000 -3.28702 0.00000
C -3.07661 -4.04679 -3.00814
C -2.98013 -0.93045 -3.30301
C 0.00000 -1.11917 0.00000
C 2.98013 -0.93045 3.30301
C 3.07661 -4.04679 3.00814
C 0.00000 1.11917 0.00000
C 2.98013 0.93045 -3.30301
C 3.07661 4.04679 -3.00814
C -2.98013 0.93045 3.30301
C 0.00000 3.28702 0.00000
C -3.07661 4.04679 3.00814
H 0.00000 -4.78561 0.00000
H -4.23747 -6.33817 -3.55692
H -4.05310 0.84076 -3.86806
H 4.23747 -6.33817 3.55692
H 4.23747 6.33817 -3.55692
H -4.05310 -0.84076 3.86806
H 0.00000 4.78561 0.00000
H -4.23747 6.33817 3.55692
H 4.05310 -0.84076 -3.86806
H 4.05310 0.84076 3.86806
cat nwch.nwout|grep "Total PSPW energy"
Total PSPW energy : 0.7974031861E+02
Total PSPW energy : 0.7246518114E+02
Total PSPW energy : 0.6606772951E+02
Total PSPW energy : 0.5673312109E+02
Total PSPW energy : 0.4840063736E+02
Total PSPW energy : 0.4059627772E+02
Total PSPW energy : 0.3478817836E+02
Total PSPW energy : 0.2592070851E+02
Total PSPW energy : 0.1961993049E+02
Total PSPW energy : 0.1337599142E+02
Total PSPW energy : 0.8368934197E+01
Total PSPW energy : 0.4070828454E+01
Total PSPW energy : 0.4890631969E+00
Total PSPW energy : -0.5836265579E+01
Total PSPW energy : -0.7890745466E+01
Total PSPW energy : -0.1408910732E+02
Total PSPW energy : -0.1376509590E+02
Total PSPW energy : -0.1592566062E+02
Total PSPW energy : -0.1795967556E+02
Total PSPW energy : -0.2040058313E+02
Total PSPW energy : -0.2225738586E+02
Total PSPW energy : -0.2338027226E+02
Total PSPW energy : -0.2338044505E+02
Total PSPW energy : -0.2461935725E+02
Total PSPW energy : -0.2515495572E+02
Total PSPW energy : -0.2562143558E+02
Total PSPW energy : -0.2561106019E+02
Total PSPW energy : -0.2618964488E+02
Total PSPW energy : -0.2615732606E+02
Total PSPW energy : -0.2636682412E+02
Total PSPW energy : -0.2633912461E+02
Total PSPW energy : -0.2639189830E+02
Total PSPW energy : -0.2638634234E+02
Total PSPW energy : -0.2646209976E+02
Total PSPW energy : -0.2645190214E+02
Total PSPW energy : -0.2649565926E+02
Total PSPW energy : -0.2655957858E+02
Total PSPW energy : -0.2634583373E+02
Total PSPW energy : -0.2656000596E+02
Total PSPW energy : -0.2615164061E+02
Total PSPW energy : -0.2648948900E+02
The step/energy data for the first cycle has positive, rather than negative, energies that descend towards zero:
== Energy Calculation ==
====== Grassmann conjugate gradient iteration ======
>>> ITERATION STARTED AT Wed Nov 13 23:30:15 2013 <<<
iter. Energy DeltaE DeltaRho
------------------------------------------------------
- 15 steepest descent iterations performed
10 0.9582453153E+02 -0.17155E+00 0.52948E-04
- 10 steepest descent iterations performed
20 0.9035909073E+02 -0.19625E+00 0.47200E-05
- 10 steepest descent iterations performed
30 0.8605965298E+02 -0.65226E-01 0.72813E-05
- 10 steepest descent iterations performed
40 0.8398586767E+02 -0.73599E-01 0.65304E-06
- 10 steepest descent iterations performed
50 0.8228907713E+02 -0.30066E-01 0.22806E-05
- 10 steepest descent iterations performed
60 0.8161797538E+02 -0.21635E-01 0.33675E-06
- 10 steepest descent iterations performed
70 0.8081694861E+02 -0.16072E-01 0.31301E-06
- 10 steepest descent iterations performed
80 0.8048826777E+02 -0.10237E-01 0.27982E-06
- 10 steepest descent iterations performed
90 0.8013146841E+02 -0.20216E-02 0.15217E-06
100 0.8000423850E+02 -0.22420E-01 0.14079E-04
- 10 steepest descent iterations performed
110 0.7984322686E+02 -0.14763E-02 0.19813E-06
120 0.7979788211E+02 -0.13952E-01 0.70838E-05
- 10 steepest descent iterations performed
130 0.7974031861E+02 -0.64662E-03 0.10059E-06
140 0.7974031861E+02 0.17764E-14 0.31320E-30
*** energy going up. iteration not terminated
*** tolerance ok. iteration terminated
>>> ITERATION ENDED AT Wed Nov 13 23:49:46 2013 <<<
NWChem was compiled using the following script:
export NWCHEM_TOP=`pwd`
export LARGE_FILES=TRUE
export TCGRSH=/usr/bin/ssh
export NWCHEM_TOP=`pwd`
export NWCHEM_TARGET=LINUX64
export NWCHEM_MODULES="all python"
export PYTHONVERSION=2.7
export PYTHONHOME=/usr
export BLASOPT="-L/opt/openblas/lib -lopenblas"
export USE_MPI=y
export USE_MPIF=y
export USE_MPIF4=y
export MPI_LOC=/usr/lib/openmpi/lib
export MPI_INCLUDE=/usr/lib/openmpi/include
export LIBRARY_PATH="$LIBRARY_PATH:/usr/lib/openmpi/lib:/opt/openblas/lib"
export LIBMPI="-lmpi -lopen-rte -lopen-pal -ldl -lmpi_f77 -lpthread"
export ARMCI_NETWORK=SOCKETS
cd $NWCHEM_TOP/src
make clean
make nwchem_config
make FC=gfortran 1> make.log 2>make.err
cd $NWCHEM_TOP/contrib
export FC=gfortran
./getmem.nwchem
The main thing that shows up in make.err for nwchem 6.3 on the bulldozer cores that doesn't show up for e.g. the Phenom II cpu is
/usr/bin/ld: Warning: alignment 16 of symbol `cface_' in /opt/nwchem/nwchem-6.3-src.2013-05-28/lib/LINUX64/libstepper.a(stpr_face.o) is smaller than 32 in /opt/nwchem/nwchem-6.3-src.2013-05-28/lib/LINUX64/libstepper.a(stpr_partit.o)
This doesn't show up for nwchem 6.1.1.
Using nwchem 6.1.1 both FX8150 and FX8350 work:
====== Grassmann conjugate gradient iteration ======
>>> ITERATION STARTED AT Thu Nov 14 16:38:02 2013 <<<
iter. Energy DeltaE DeltaRho
------------------------------------------------------
10 -0.5440813275E+02 -0.23233E+01 0.72286E-02
- 10 steepest descent iterations performed
20 -0.7080853812E+02 -0.14463E+00 0.19753E-03
- 10 steepest descent iterations performed
30 -0.7308197239E+02 -0.20838E-01 0.16698E-04
- 10 steepest descent iterations performed
40 -0.7349928511E+02 -0.14939E-01 0.93367E-03
- 10 steepest descent iterations performed
50 -0.7361462983E+02 -0.92625E-02 0.88102E-05
60 -0.7369416281E+02 -0.57087E-02 0.34645E-04
[..]
310 -0.7403126685E+02 -0.12879E-06 0.44149E-09
320 -0.7403126810E+02 -0.86892E-07 0.25214E-09
*** tolerance ok. iteration terminated
>>> ITERATION ENDED AT Thu Nov 14 17:03:46 2013 <<<
|


Copy Chef
Home
Signup
Login
Get Recipes by Restaurant or Keyword
Keyword Searches
Restaurants
Appetizers
Restaurants
Appetizers
Restaurants
schedule
30 m
Alternative Card from Docs
tag
tag
tag
tag
schedule
30 m
Panda Expresss Black Pepper Chicken
tag
tag
schedule
30 m
Panda Expresss Black Pepper Chicken
tag
tag
schedule
30 m
Panda Expresss Black Pepper Chicken


david billet
⌇
Hello, I am under construction + finnishing new projects. A new me is on the way 🐸✌
⌇
Contact


Please note only certification criteria and program requirements for which a non-conformity has been recorded are displayed.


The Storyboard extension provides a number of stock images for use with the NotificationCard.
Given the system property concordion.extensions
is set to org.concordion.ext.StoryboardExtension
When a test is run with this fixture
Then the extension will place the image 'email.png' in the base folder ''


Coldplay cancels tour over 'environmental concerns'
'We're taking time to work out how our tour can not only be sustainable but how can it be actively beneficial,' Coldplay frontman Chris Martin says on the band's concerns over the 'environmental impact of concerts'
by Agence France-PresseSubscribe
Email Address
Newsletters
- Glenda Gloria's Take this Tuesday
- Huddle by Miriam Grace Go
- The Newsbreak Agenda by Chay Hofileña
- Sometimes, all you need is video by Lilibeth Frondoso


Ceci n'est pas un bouton
María Evangelina Ferreira Kuzminski
Today
- What is accessibility?
- How can we help?
What is accessibility?
A11y
"Accessibility is the right of every user to navigate and understand the websites we design and develop."
Accessibility is our job.
Accessibility !== Blind Users
Disabilities
Categorize by type or duration
Type
- Sight
- Hearing
- Physical
- Learning
- Vestibular disorders
Duration
- Situational
- Temporal
- Permanent
Benefits for everyone
HTML elements
- Neutral tags
- Semantic tags
Navigation bar

Home

About Us

Services

Contact

Make it semantic - Two options
- Turn the div into a nav
- Add role="navigation"
"role" Attribute
Sets the element' semantic
Semantic tags have implicit roles
We can change them using role="..."
Our semantic tags
are NOT enough
(Some) available roles
- alert
- dialog
- presentation
- status
- tab
Besides... Sometimes we need to break the rules and use an incorrect tag
Custom Controls
Neutral tags with roles
Custom Controls
Span that behaves like a checkbox
Creating a checkbox
- Select tag (span)
- Style
- Style the checked state
- Write a little JavaScript
Let's begin

Let's create interactivity
JavaScript to the rescue!
Making it accessible
- Role
- Tab / Focusable
- Spacebar checked
- Aria-attributes
Applying the Role attribute

Tab / Focusable

Aria-attributes
- What is it?
- What is its current state?
What is it?

What is its current state?

Improve our CSS & JS
/* .check-active{} turns into... */
.check[aria-checked="true"]{
background-color: chocolate;
box-shadow: inset 0 0 2px 2px white;
}
Testing
- Keyboard navigation
- Screen Reader
Testing
Keyboard navigation*
Aim of the test
- Check navigation, duh!
- Check outlines
- Events (enter, tab, spacebar)
- Infinite keyboard loops
Screen Reader
- ChromeVox: Chrome's... Plugin
- NVDA: Open source (Windows)
- Narrator: (Windows)
- VoiceOver: (Mac)
- JAWS: $$$
Aim of the test
- Check navigation
- Check interactivity
- Approach the experience of a screen-reader user
Headphones and... patience
So...
- Test
- Teamwork
- Not an afterthought
Last but not least
- Baby steps
- It's ok to make mistakes!
Fun fact
How do we sell this?
"Selling" accessibility
- Law
- Ethics
- SEO
- ... Numbers
15% of World Population
World Health Organization


Add iPhone Max Pro camera features to older devices (this option works with iOS 13 only)
Camera features on iPhone 11 and iPhone 11 Pro
Learn about QuickTick, the Ultra Wide Camera, Night Mode and other new camera features on iPhone 11 and iPhone 11 Pro.
Capture a video using QuickTake
QuickTake is available on iPhone 11 and iPhone 11 Pro, a new feature that allows you to record videos without switching from the image mode.
Hold down the shutter to take a video
When you open the Camera app, you will see the default image style. Press the shutter button to take a picture. Click the arrow to set options like Flash, Live Photos, Timer, and more.
If you want to capture QuickTake video, just press and hold the shutter button. * After that, release the button to stop recording.
Swipe left to lock recording
To continue recording video without having to hold down the button, drag the shutter button to the left, and then release it. When video recording is locked, the shutter button appears to the left. Then click on it to take a still photo while recording the video. When you are ready to stop recording, press the record button.
Swipe left to place snapshots
Pull the shutter button to the right, press it to take snapshots of photos, then release to stop.
* To capture customizable resolution videos, stereo sound, and sound boosting, switch to Video mode.
The redesigned "Camera" interface on iPhone 11 and iPhone 11 Pro shows you what's going on outside of your shot within the frame. This can help you decide if you need to reselect the shot frame or switch to a different camera on the iPhone to get a better picture.
When using a wide (1x) camera, the viewfinder also displays what appears in a very wide (0.5x) camera. Press the .5 button to switch to the ultra-wide camera. If you have an iPhone 11 Pro, you can also see the wide view (1x) scene outside the frame when using the telephoto camera (2x).
Taking pictures in low light with "night" mode
Night mode turns on automatically on iPhone 11 and iPhone 11 Pro when the camera detects low-light situations. The "Night" mode icon at the top of the screen turns yellow when the feature is active.
Depending on the degree of blurring of the scene, the iPhone may take a picture in "night" mode quickly, or it may take several seconds. A number appears next to the "Night" mode icon to indicate how long the device will take to shoot.
To try the "Night" mode photos for a longer period, press the "Night" mode icon. Next, use the slider above the shutter button to select "Max.", Which increases the capture time. When you take the picture, the slider becomes temporary that counts downward until the end of the exposure.
For best results, keep iPhone steady until shot is complete. You can also get more detail while reducing noise in very dark scenes, such as photographing the sky at night, by keeping the iPhone steady. Try placing the iPhone on a solid, secure surface or use a tripod to get the widest variety of colors possible in "night" mode.
Night mode available when using the 1x zoom camera.
How to play Live Photos and Flash
When iPhone is in Night mode, Live Photos and Flash are deactivated. You can manually turn on these features. Note that "Night" mode is deactivated when Live Photos or Flash is on.
To turn on Live Photos, tap the Live Photos button at the top of the screen. Press it again until the camera returns to “night” mode if you are still in a low-light location.
If “Flash” is set to “Automatic”, it will be turned on automatically in places with very low light. To turn on flash manually, press the arrow above Viewfinder. Click the flash button that appears below the viewfinder, then select "Play".
Make photos and videos more awesome
IOS 13's Photos app gets more control over editing. You can now adjust the density of all editing tools and filters. You can also edit videos with the same tools you use for health, such as crop, rotate, apply filters and more.
Increase camera zoom to 20 (this option only works on 11-12)
Video quality
Improve portrait accuracy
Supported devices (7/7 Plus - 8/8 Plus - X / Xmax - XR)
Swipe To See More


- welcome to my page
- my name is leen duafi
- i graduated from jordan unvirstey business scholl
- i worked as a customer service for couple of months
- i am studing programing to have more doors open in the future
top ten
- six of crows
- ninth house
- shadow and bone
- king of scars
- clockwork angel
- how to train your dragon
- harry potter
- hunting prince dracula
- lady midnight
- the language of thorns


{% extends "global/Base.html" %} {% load staticfiles otree_tags %} {% block title %} Instructions {% endblock %} {% block content %}
In this asset market, there are {{ num_participants }} participants. Both of you are endowed with {{ cash }} cash and {{ shares }} shares of stock. Shares pay random dividends at the end of each period. There are {{ num_of_rounds }} periods during which you are free to submit buy/sell orders to trade shares. At the end of the study, your cash positions count for your payoffs; your shares are redeemed for free.
Both of you see the same instruction. The identical instruction will be displayed on every page for your convenience.
{% next_button %} {% include 'asset_market/Rules.html' %} {% endblock %}


{% extends "pages/homepage.html" %} {% block video %}
Videos from all talks will be available later. You can watch rough recordings stream’s until then.
Workshop registration for PyCon CZ ticket holders is opened!


Deep Learning model to detect the political sentiment of written text. This research was done as the final project to MIT's 17.835. You can find the code, as well as an technical explanation of the project here.


Arrives before New Year's Eve.
Authorized to work(OPT) in US. Willing to relocate to any state in US.
Want me tomorrow, Dec.28? Order within 3 hrs 1 min and choose One-Day Shipping at checkout. Details
Sold and Fulfilled by Northeastern University.
Ship to:
Ship to:
| Candidate's Name | Yu Wang |
| Highest Degree | Master |
| Graduate University | Northeastern University |
| Email-Address |<EMAIL_ADDRESS>|
| Phone Number |<PHONE_NUMBER> |
| Current Address | San Gabriel, CA, 91775 |
A detail oriented programmer with good mathematics background. Interested in web developing, database, data analyze. Proficient in HTML5/CSS3, JavaScript, T-SQL. Seeking for jobs including but not limited to Front-end Developer, SQL Developer and BI developer.


◄
Leaflet.Control.Search
JSONP Example:
search locations by third party jsonp service, with filter data
Search values:
OpenStreetMap Data offer by MapQuest Open Platform
open.mapquestapi.com
native JSON
Website
•
Stefano Cudini


Upload an Image
Select a .jpg image file below. When it is uploaded, the image will display below and show in the table.
Choose File
Images Uploaded
Click the red "X" to delete an image.
Images
| Title | Type | Uploaded | Delete |
|---|
Upload Audio
Select an .mp3 file below. When it is uploaded, the file name will display below and show in the table.
Choose File
Audio Uploaded
Click the red "X" to delete an audio file.
Audio
| Title | Type | Uploaded | Sample Audio | Full Audio | Delete |
|---|


1
2
Choose Lists
Select Respondants
ALL LISTS
| LIST NAME | CREATED ON | RESPONDENTS |
|---|---|---|
{{list.name}} |
{{list.created | date: mediumDate }} | {{list.contactCount}} |
| No list found for your search | ||
| You have not created any list. Please create list to publish this survey. |
Send Randomly across all platforms
It is long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Loren Ipsum is that it has more-or-less normal
Choose Number of Respondants per platform ({{vm.ListNameArray.length}} left)
{{type.title}}


Configure subsystems and global resources such as interfaces, socket bindings, paths and system properties.
View and modify the configuration for each available subsystem. For example, add a data source, configure a messaging provider, or set up application security.
Related Links


| Jump to DART Documentation Main Index |
THIS HAS NOT BEEN UPDATED YET - ONLY COPIED FROM 3D SPHERE VERSION
THIS HAS NOT BEEN UPDATED YET - ONLY COPIED FROM 3D SPHERE VERSION
THIS HAS NOT BEEN UPDATED YET - ONLY COPIED FROM 3D SPHERE VERSION
The DART framework needs to be able to compute distances between locations, to pass location information to and from the model interface code (model_mod.f90), and to be able to read and write location information to files. DART isolates all this location information into separate modules so that the main algorithms can operate with the same code independent of whether the model uses latitude/longitude/height, 1D unit sphere coordinates, cylindrical coordinates, etc. DART provides about half a dozen possible coordinate systems, and others can be added. The most common one for geophysical models is this one: threed_sphere.
This location module provides a representation of a physical location on a 3-D spherical shell, using latitude and longitude plus a vertical component with choices of vertical coordinate type such as pressure or height in meters. A type that abstracts the location is provided along with operators to set, get, read, write, and compute distances between locations. This is a member of a class of similar location modules that provide the same abstraction for different represenations of physical space.
All types of location modules define the same module name location_mod. Therefore, the DART framework and any user code should include a Fortran 90 use statement of location_mod. The selection of which location module will be compiled into the program is controlled by which source file name is specified in the path_names_xxx file, which is used by the mkmf_xxx scripts.
All types of location modules define the same Fortran 90 derived type location_type. Programs that need to pass location information to subroutines but do not need to interpret the contents can declare, receive, and pass this derived type around in their code independent of which location module is specified at compile time. Model and location-independent utilities should be written in this way. However, as soon as the contents of the location type needs to be accessed by user code then it becomes dependent on the exact type of location module that it is compiled with.
Regardless of the fact that the distance subroutine names include the string 'obs', there is nothing specific to observations in these routines. They work to compute distances between any set of locations. The most frequent use of these routines in the filter code is to compute the distance between a single observation and items in the state vector, and also between a single observation and other nearby observations. However, any source for locations is supported.
In simpler location modules (like the oned version) there is no need for anything other than a brute force search between the base location and all available state vector locations. However in the case of large geophysical models which typically use the threed_sphere locations code, the brute-force search time is prohibitive. The location code pre-processes all locations into a set of bins and then only needs to search the lists of locations in nearby bins when looking for locations that are within a specified distance.
The expected calling sequence of the get_close routines is as follows:
call get_close_maxdist_init() ! is called before get_close_obs_init() call get_close_obs_init() call get_close_obs() ! called many, many times call get_close_obs_destroy()
In the threed_sphere implementation the first routine initializes some data structures, the second one bins up the list of locations, and then the third one is called multiple times to find all locations within a given radius of some reference location, and to optionally compute the exact separation distance from the reference location. The last routine deallocates the space. See the documentation below for the specific details for each routine.
All 4 of these routines must be present in every location module but in most other versions all but get_close_obs() are stubs. In this threed_sphere version of the locations module all are fully implemented.
The filter and other DART programs could call the get_close routines directly, but typically do not. They declare them (in a use statement) to be in the model_mod module, and all model interface modules are required to supply them. However in many cases the model_mod only needs to contain another use statement declaring them to come from the location_mod module. Thus they 'pass through' the model_mod but the user does not need to provide a subroutine or any code for them.
However, if the model interface code wants to intercept and alter the default behavior of the get_close routines, it is able to. Typically the model_mod still calls the location_mod routines and then adjusts the results before passing them back to the calling code. To do that, the model_mod must be able to call the routines in the location_mod which have the same names as the subroutines it is providing. To allow the compiler to distinguish which routine is to be called where, we use the Fortran 90 feature which allows a module routine to be renamed in the use statement. For example, a common case is for the model_mod to want to supply additions to the get_close_obs() routine only. At the top of the model_mod code it would declare:
use location_mod, only :: location_get_close_obs => get_close_obs, & get_close_maxdist_init, get_close_obs_init, & get_close_obs_destroy
That makes calls to the maxdist_init, init, and destroy routines simply pass through to the code in the location_mod, but the model_mod must supply a get_close_obs() subroutine. When it wants to call the code in the location_mod it calls location_get_close_obs().
One use pattern is for the model_mod to call the location get_close_obs() routine without the dist argument. This returns a list of any potentially close locations without computing the exact distance from the base location. At this point the list of locations is a copy and the model_mod routine is free to alter the list in any way it chooses: it can change the locations to make certain types of locations appear closer or further away from the base location; it can convert the vertical coordinates into a common coordinate type so that calls to the get_dist() routine can do full 3d distance computations and not just 2d (the vertical coordinates must match between the base location and the locations in the list in order to compute a 3d distance). Then typically the model_mod code loops over the list calling the get_dist() routine to get the actual distances to be returned to the calling code. To localize in the vertical in a particular unit type, this is the place where the conversion to that vertical unit should be done.
If horiz_distance_only is .true. in the namelist, then the vertical coordinate is ignored and only the great-circle distance between the two locations is computed, as if they were both on the surface of the sphere.
If horiz_distance_only is .false. in the namelist then the appropriate normalization constant determines the relative impact of vertical and horizontal separation. Since only a single localization distance is specified, and the vertical scales might have very different distance characteristics, the vert_normalization_xxx values can be used to scale the vertical appropriately to control the desired influence of observations in the vertical.
For search efficiency all locations are pre-binned. The surface of the sphere is divided up into nlon by nlat boxes and the index numbers of all items (both state vector entries and observations) are stored in the appropriate box. To locate all points close to a given location, only the locations listed in the boxes within the search radius must be checked. This speeds up the computations, for example, when localization controls which state vector items are impacted by any given observation. The search radius is the localization distance and only those state vector items in boxes closer than the radius to the observation location are processed.
The default values have given good performance on many of our existing model runs, but for tuning purposes the box counts have been added to the namelist to allow adjustment. By default the code prints some summary information about how full the average box is, how many are empty, and how many items were in the box with the largest count. The namelist value output_box_info can be set to .true. to get even more information about the box statistics. The best performance will be obtained somewhere between two extremes; the worst extreme is all the points are located in just a few boxes. This degenerates into a (slow) linear search through the index list. The other extreme is a large number of empty or sparsely filled boxes. The overhead of creating, managing, and searching a long list of boxes will impact performance. The best performance lies somewhere in the middle, where each box contains a reasonable number of values, more or less evenly distributed across boxes. The absolute numbers for best performance will certainly vary from case to case.
For latitude, the nlat boxes are distributed evenly across the actual extents of the data. (Locations are in radians, so the maximum limits are the poles at -PI/2 and +PI/2). For longitude, the code automatically determines if the data is spread around more than half the sphere, and if so, the boxes are distributed evenly across the entire sphere (longitude range 0 to 2*PI). If the data spans less than half the sphere in longitude, the actual extent of the data is determined (including correctly handling the cyclic boundary at 0) and the boxes are distributed only within the data extent. This simplifies the actual distance calculations since the distance from the minimum longitude box to the maximum latitude box cannot be shorter going the other way around the sphere. In practice, for a global model the boxes are evenly distributed across the entire surface of the sphere. For local or regional models, the boxes are distributed only across the the extent of the local grid.
For efficiency in the case where the boxes span less than half the globe, the 3D location module needs to be able to determine the greatest longitude difference between a base point at latitude φs and all points that are separated from that point by a central angle of θ. We might also want to know the latitude, φf , at which the largest separation occurs. Note also that an intermediate form below allows the computation of the maximum longitude difference at a particular latitude.
The central angle between a point at latitude φs
and a second point at latitude φf that are separated
in longitude by Δλ is
θ = cos-1(sinφssinφf +
cosφscosφfcosΔλ)
Taking the cos of both sides gives
cosθ = (sinφssinφf +
cosφscosφfcosΔλ)
Solving for cosΔλ gives
cosΔλ
= (a - b sinφf)/(c cosφf)
= a/c secφf -
b/c tanφf
where a = cosθ ,
b = sinφs ,
and c = cosφs .
We want to maximize Δλ which implies minimizing
cosΔλ subject to constraints. Taking the
derivative with respect to φf gives
(d cosΔλ)/(dφf) =
a/c secφf tanφf
- b/c sec2φf = 0
Factoring out secφf which can never be 0 and using the
definitions of sec and tan gives
(a sinφf)/(c cosφf) -
b/(c cosφf) = 0
Solving in the constrained range from 0 to PI/2 gives
sinφf = b/a =
sinφs/cosθ
So knowing
base point (φs,
λs),
latitude φf, and
distance θ we can use the great circle equation to find
the longitude difference at the greatest separation point
Δλ = cos-1((a -
(b sinφf))
/ (c cosφf))
Note that if the angle between the base point and a pole is less than
or equal to the central angle, all longitude differences will occur
as the pole is approached.
This namelist is read from the file input.nml. Namelists start with an ampersand '&' and terminate with a slash '/'. Character strings that contain a '/' must be enclosed in quotes to prevent them from prematurely terminating the namelist.
&location_nml use_octree = .false. nboxes = 1000 maxdepth = 4 filled = 10 output_box_info = .false. print_box_level = 0 compare_to_correct = .false. /
Items in this namelist either control the way in which distances are computed and/or influence the code performance.
| Item | Type | Description |
|---|---|---|
| use_octree | logical | There are two variations of search code. For now, this must be set to .false. |
| nboxes | integer | An optimization parameter which controls how many boxes the space is divided up into for precomputing nearby points. Larger numbers use more memory but may make searching faster if the model contains a large grid. |
| filled | integer | An optimization parameter for the octree code. Set the lower item count limit where a box no longer splits. |
| output_box_info | logical | If true, print more details about the distribution of locations across the array of boxes. |
| print_box_level | integer | If output_box_info is true, controls the amount of output. |
| compare_to_correct | logical | If true do an exhaustive (and slow) search to ensure the results are the same as using optimized search code. Should only be used for debugging. |
types_mod utilities_mod random_seq_mod
Namelist interface &location_nml must be read from file input.nml.
A note about documentation style. Optional arguments are enclosed in brackets [like this].
private real(r8) :: lon, lat, vloc integer :: which_vert end type location_type
Provides an abstract representation of physical location on a three-d spherical shell.
| Component | Description |
|---|---|
| lon | longitude in radians |
| lat | latitude in radians |
| vloc | vertical location, units as selected by which_vert |
| which_vert | type of vertical location: -2=no specific vert location; -1=surface; 1=level; 2=pressure; 3=height, 4=scale height |
private integer :: num real(r8) :: maxdist integer, pointer :: lon_offset(:, :) integer, pointer :: obs_box(:) integer, pointer :: count(:, :) integer, pointer :: start(:, :) end type get_close_type
Provides a structure for doing efficient computation of close locations.
| Component | Description |
|---|---|
| num | Number of locations in list |
| maxdist | Threshhold distance. Anything closer is close. |
| lon_offset | Dimensioned nlon by nlat. For a given offset in longitude boxes and difference in latitudes, gives max distance from base box to a point in offset box. |
| obs_box | Dimensioned num. Gives index of what box each location is in. |
| count | Dimensioned nlon by nlat. Number of obs in each box. |
| start | Dimensioned nlon by nlat. Index in straight storage list where obs in each box start. |
real(r8), dimension(3) :: get_location type(location_type), intent(in) :: loc
Extracts the longitude and latitude (converted to degrees) and the vertical location from a location type and returns in a 3 element real array.
| get_location | The longitude and latitude (in degrees) and vertical location |
| loc | A location type |
type(location_type) :: set_location real(r8), intent(in) :: lon real(r8), intent(in) :: lat real(r8), intent(in) :: vert_loc integer, intent(in) :: which_vert
Returns a location type with the input longitude and latitude (input in degrees) and the vertical location of type specified by which_vert.
| set_location | A location type |
| lon | Longitude in degrees |
| lat | Latitude in degrees |
| vert_loc | Vertical location consistent with which_vert |
| which_vert | The vertical location type |
integer, intent(in) :: locfile type(location_type), intent(in) :: loc character(len=*), optional, intent(in) :: fform character(len=*), optional, intent(out) :: charstring
Given an integer IO channel of an open file and a location, writes the location to this file. The fform argument controls whether write is "FORMATTED" or "UNFORMATTED" with default being formatted. If the final charstring argument is specified, the formatted location information is written to the character string only, and the locfile argument is ignored.
| locfile | the unit number of an open file. |
| loc | location type to be written. |
| fform | Format specifier ("FORMATTED" or "UNFORMATTED"). Default is "FORMATTED" if not specified. |
| charstring | Character buffer where formatted location string is written if present, and no output is written to the file unit. |
type(location_type) :: read_location integer, intent(in) :: locfile character(len=*), optional, intent(in) :: fform
Reads a location_type from a file open on channel locfile using format fform (default is formatted).
| read_location | Returned location type read from file |
| locfile | Integer channel opened to a file to be read |
| fform | Optional format specifier ("FORMATTED" or "UNFORMATTED"). Default "FORMATTED". |
type(location_type), intent(out) :: location logical, optional, intent(in) :: set_to_default
Use standard input to define a location type. With set_to_default true get one with all elements set to 0.
| location | Location created from standard input |
| set_to_default | If true, sets all elements of location type to 0 |
real(r8) :: query_location type(location_type), intent(in) :: loc character(len=*), optional, intent(in) :: attr
Returns the value of which_vert, latitude, longitude, or vertical location from a location type as selected by the string argument attr. If attr is not present or if it is 'WHICH_VERT', the value of which_vert is converted to real and returned. Otherwise, attr='LON' returns longitude, attr='LAT' returns latitude and attr='VLOC' returns the vertical location.
| query_location | Returns longitude, latitude, vertical location, or which_vert (converted to real) |
| loc | A location type |
| attr | Selects 'WHICH_VERT', 'LON', 'LAT' or 'VLOC' |
type(location_type) :: set_location_missing
Returns a location with all elements set to missing values defined in types module.
| set_location_missing | A location with all elements set to missing values |
type(get_close_type), intent(inout) :: gc real(r8), intent(in) :: maxdist real(r8), intent(in), optional :: maxdist_list(:)
Sets the threshhold distance. maxdist is in units of radians. Anything closer than this is deemed to be close. This routine must be called first, before the other get_close routines. It allocates space so it is necessary to call get_close_obs_destroy when completely done with getting distances between locations.
If the last optional argument is not specified, maxdist applies to all locations. If the last argument is specified, it must be a list of exactly the length of the number of specific types in the obs_kind_mod.f90 file. This length can be queried with the get_num_types_of_obs() function to get count of obs types. It allows a different maximum distance to be set per base type when get_close() is called.
| gc | Data for efficiently finding close locations. |
| maxdist | Anything closer than this number of radians is a close location. |
| maxdist | If specified, must be a list of real values. The length of the list must be exactly the same length as the number of observation types defined in the obs_def_kind.f90 file. (See get_num_types_of_obs() to get count of obs types.) The values in this list are used for the obs types as the close distance instead of the maxdist argument. |
type(get_close_type), intent(inout) :: gc integer, intent(in) :: num type(location_type), dimension(:) intent(in) :: obs
Initialize storage for efficient identification of locations close to a given location. Allocates storage for keeping track of which 'box' each location in the list is in. Must be called after get_close_maxdist_init, and the list of locations here must be the same as the list of locations passed into get_close_obs(). If the list changes, get_close_obs_destroy() must be called, and both the initialization routines must be called again. It allocates space so it is necessary to call get_close_obs_destroy when completely done with getting distances between locations.
| gc | Structure that contains data to efficiently find locations close to a given location. |
| num | The number of locations in the list. |
| obs | The locations of each element in the list, not used in 1D implementation. |
type(get_close_type), intent(in) :: gc type(location_type), intent(in) :: base_obs_loc integer, intent(in) :: base_obs_kind type(location_type), dimension(:), intent(in) :: obs integer, dimension(:), intent(in) :: obs_kind integer, intent(out) :: num_close integer, dimension(:), intent(out) :: close_ind real(r8), optional, dimension(:), intent(out) :: dist
Given a single location and a list of other locations, returns the indices of all the locations close to the single one along with the number of these and the distances for the close ones. The list of locations passed in via the obs argument must be identical to the list of obs passed into the most recent call to get_close_obs_init(). If the list of locations of interest changes get_close_obs_destroy() must be called and then the two initialization routines must be called before using get_close_obs() again.
If called without the optional dist argument, all locations that are potentially close are returned, which is likely a superset of the locations that are within the threshold distance specified in the get_close_maxdist_init() call. This can be useful to collect a list of potential locations, and then to convert all the vertical coordinates into one consistent unit (pressure, height in meters, etc), and then the list can be looped over, calling get_dist() directly to get the exact distance, either including vertical or not depending on the setting of horiz_dist_only.
| gc | Structure to allow efficient identification of locations close to a given location. |
| base_obs_loc | Single given location. |
| base_obs_kind | Kind of the single location. |
| obs | List of locations from which close ones are to be found. |
| obs_kind | Kind associated with locations in obs list. |
| num_close | Number of locations close to the given location. |
| close_ind | Indices of those locations that are close. |
| dist | Distance between given location and the close ones identified in close_ind. |
type(get_close_type), intent(inout) :: gc
Releases memory associated with the gc derived type. Must be called whenever the list of locations changes, and then get_close_maxdist_init and get_close_obs_init must be called again with the new locations list.
| gc | Data for efficiently finding close locations. |
real(r8) :: get_dist type(location_type), intent(in) :: loc1 type(location_type), intent(in) :: loc2 integer, optional, intent(in) :: kind1 integer, optional, intent(in) :: kind2 logical, optional, intent(in) :: no_vert
Returns the distance between two locations in radians. If horiz_dist_only is set to .TRUE. in the locations namelist, it computes great circle distance on sphere. If horiz_dist_only is false, then it computes an ellipsoidal distance with the horizontal component as above and the vertical distance determined by the types of the locations and the normalization constants set by the namelist for the different vertical coordinate types. The vertical normalization gives the vertical distance that is equally weighted as a horizontal distance of 1 radian. If no_vert is present, it overrides the value in the namelist and controls whether vertical distance is included or not.
The kind arguments are not used by the default location code, but are available to any user-supplied distance routines which want to do specialized calculations based on the kinds associated with each of the two locations.
| loc1 | First of two locations to compute distance between. |
| loc2 | Second of two locations to compute distance between. |
| kind1 | DART kind associated with location 1. |
| kind2 | DART kind associated with location 2. |
| no_vert | If true, no vertical component to distance. If false, vertical component is included. |
| var | distance between loc1 and loc2. |
logical :: vert_is_undef type(location_type), intent(in) :: loc
Returns true if which_vert is set to undefined, else false. The meaning of 'undefined' is specific; it means there is no particular vertical location associated with this type of measurement; for example a column-integrated value.
| vert_is_undef | Returns true if vertical coordinate is set to undefined. |
| loc | A location type |
logical :: vert_is_surface type(location_type), intent(in) :: loc
Returns true if which_vert is for surface, else false.
| vert_is_surface | Returns true if vertical coordinate type is surface |
| loc | A location type |
logical :: vert_is_pressure type(location_type), intent(in) :: loc
Returns true if which_vert is for pressure, else false.
| vert_is_pressure | Returns true if vertical coordinate type is pressure |
| loc | A location type |
logical :: vert_is_scale_height type(location_type), intent(in) :: loc
Returns true if which_vert is for scale_height, else false.
| vert_is_scale_height | Returns true if vertical coordinate type is scale_height |
| loc | A location type |
logical :: vert_is_level type(location_type), intent(in) :: loc
Returns true if which_vert is for level, else false.
| vert_is_level | Returns true if vertical coordinate type is level |
| loc | A location type |
logical :: vert_is_height type(location_type), intent(in) :: loc
Returns true if which_vert is for height, else false.
| vert_is_height | Returns true if vertical coordinate type is height |
| loc | A location type |
logical :: has_vertical_localization
Returns .TRUE. if the namelist variable horiz_dist_only is .FALSE. meaning that vertical separation between locations is going to be computed by get_dist() and by get_close_obs().
This routine should perhaps be renamed to something like 'using_vertical_for_distance' or something similar. The current use for it is in the localization code inside filter, but that doesn't make this a representative function name. And at least in current usage, returning the opposite setting of the namelist item makes the code read more direct (fewer double negatives).
type(location_type), intent(in) :: loc1, loc2
Returns true if the two location types have identical values, else false.
type(location_type), intent(in) :: loc1, loc2
Returns true if the two location types do NOT have identical values, else false.
integer, parameter :: VERTISUNDEF = -2 integer, parameter :: VERTISSURFACE = -1 integer, parameter :: VERTISLEVEL = 1 integer, parameter :: VERTISPRESSURE = 2 integer, parameter :: VERTISHEIGHT = 3 integer, parameter :: VERTISSCALEHEIGHT = 4
Constant parameters used to differentiate vertical types.
integer, parameter :: LocationDims = 3
This is a constant. Contains the number of real values in a location type. Useful for output routines that must deal transparently with many different location modules.
character(len=129), parameter :: LocationName = "loc3Dsphere"
This is a constant. A parameter to identify this location module in output metadata.
character(len=129), parameter :: LocationLName =
"threed sphere locations: lon, lat, vertical"
This is a constant. A parameter set to "threed sphere locations: lon, lat, vertical" used to identify this location module in output long name metadata.
| filename | purpose |
|---|---|
| input.nml | to read the location_mod namelist |
| Routine | Message | Comment |
|---|---|---|
| initialize_module | nlon must be odd | Tuning parameter for number of longitude boxes must be odd for algorithm to function. |
| get_dist | Dont know how to compute vertical distance for unlike vertical coordinates | Need same which_vert for distances. |
| set_location | longitude (#) is not within range [0,360] | Is it really a longitude? |
| set_location | latitude (#) is not within range [-90,90] | Is it really a latitude? |
| set_location | which_vert (#) must be one of -2, -1, 1, 2, 3, or 4 | Vertical coordinate type restricted to: -2 = no specific vertical location -1 = surface value 1 = (model) level 2 = pressure 3 = height 4 = scale height |
| read_location | Expected location header "loc3d" in input file, got ___ | Vertical coordinate confusion involving NetCDF file. |
| nc_write_location | Various NetCDF-f90 interface error messages | From one of the NetCDF calls in nc_write_location |
The Hawaii and Workshop versions of this module had an error in the approximate distance computation. The available values in the lookup table for cosine were insufficient for some cases. This manifested itself as potential errors, most commonly for computing distances near the poles. For relatively small horizontal localizations, this problem only occurred for locations very near the pole.
Need to provide more efficient algorithms for getting close locations and document the nlon and nlat choices and their impact on cost.
The collection of 'val = vert_is_xxx()' routines should probably be replaced by a single call 'val = vert_is(loc, VERTISxxx)'.
See the note in the 'has_vertical_localization()' about a better name for this routine.
The functions of 'get_close_maxdist_init()' and 'get_close_obs_init()' appear to be able to be combined into a single init routine. This impacts all model_mods, however, since they can intercept these routines. Doing this will be a non-backwards compatible change.
The use of 'obs' in all these routine names should probably be changed to 'loc' since there is no particular dependence that they be observations. They may need to have an associated DART kind, but these routines are used for DART state vector entries so it's often misleading to call them 'obs'.
N/A
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


F2 Codominance: A1A2 x A1A2
Types
A1A1
A1A2
A2A2
Total
Obs.
Exp.
Calculate
Clean
Value
Agree?
X^2 (df=2) =
Back


% include ./partials/header.html %>
Login Form
<% include ./partials/navbar.html %>
Login form
Login
<% include ./partials/footer.html %>


In last 3 year I have involved with security system such as Enterprise CCTV, Access Control, and Alarm system also. after work with Security System, I've started with IT security, with CEH and others training with IT or Network Security.
In IT field many years, I have work with software, Networking and Server too. I've been set up and managed Window Server, Ubuntu Server , and CentOs, that I have deploy at more than 30 apps and website to users.
I've been build software from small to enterprise platform using Ruby and Java, the most is Web base application and API base application.
I have team to build for complete standard network infrastructure for small and medium business to improve performance and productivity in your business.
A peace lover, freedom, like solo trip, yeah group trip also.
--- Trust me, I'm engineer! ---I'm work in photoshop for Image editing, raw file turning.
I'm work in Illustrator for Flyer, Brouchor, company profile, banner.
I'm work in Premier for Video Editing, Advanced Slide-show, Pre-wedding Video - .
— Ruby on Rails & Angular
— Ruby on Rails
— PHP - Laravel
— Mikrotik - Routing / Switching
— Mikrotik - Routing / VPN ipsec
— CISCO - RIP & Static route / VLAN
— VMWare - ESXi
— Window server
— Ubuntu / CentOs - Nginx
— JAVA/Maven - bash-script
There are more projects that I've been done, that related to Software Development and Networking,
and also related to Design work and Video Editing too.
Using this technology, servers can send traffic safely between the server and clients without the possibility of the messages being ...
This provided method will guide you to identify who using ssh connection for your linux server.
MySQL replication is a process that allows you to automatically copy data from one database server to one or more servers.