Farmers Market is an online platform where buyers and sellers meet to trade farm produce.
It’s accessible through the internet and allows farmers to post free ads of their farm produce for potential customers.
We aim to promote clean-living and clean consumer products, by bridging the gap between the consumers and the farmers.
To have a reliable market place for all Kenyan farmers and consumers alike.
To enable and lead the produce industry by enhancing the market and facilitating trade of agricultural products.
We aim to empower our local farmers by cutting out the middle-man and getting their entire earnings directly in their hands.


This radial bar chart shows the 50 counties in the U.S., including Puerto Rico, with the highest percentage of residents living below the poverty line in 2016. All but one, Oglala Lakota County, South Dakota, is in Puerto Rico.


Admin Dashboard
Orders
Manage items
New
Processing
Completed
Cancelled
Add food item
Name
Price (Naira)
Image


This inspection reports JavaScript 'debugger' statements, used for interaction with Javascript debuggers. Such statements should probably not be found in production code.
Powered by InspectionJS


Techinal Blog Part 2
What is grid based design?
The grid based design is a some rows and columns that are meant to catch are our eye.
Whats all the hype about responsive webpages?
Since we are now viewing webpages not just on our computers we have to adapt webpages. They can function on multiple devices like our phones and tablets/iphones. The webpasge then should autmotatically change resolution depending on screen size to accommodate.
What is semantic structure?
Tags that make sense to both the browser and humans. Like h1-h4 and image tags.
Any other points you found interesting and want to reflect on.
I found the bootsrap site really intersting I will have a more in-depth look at it this week and play around.


--- layout: page title: About header-img: "img/about-bg.png" ---
Hi, I'm Natalie Jiang.
I’m a full stack developer dedicated to leveraging technology to solve tough problems that enable us to create meaningful connections and experiences. Being a developer fuels my inquisitive nature and gives me a creative outlet to implement the appropriate technologies for the challenges at hand. I thrive in cross-functional and collaborative environments. I'm a connector that's able to build the bridge between technical and non-technical parties.
When I'm not coding, you can find me hanging out with my dogs, discovering new music, or on the slopes.


When school communities are connected, students SUCCEED!
Schools and classrooms are where children spend a significant amount of time and Schools have a duty to help their students make the most of that time together by developing a Strong school community. The benefits students realize from having an efficient and effective school community are plentiful. When schools actively involve parents and create a strong school network they are able to respond more effectively to the needs of students.
Building and nurturing a supportive school community is essential to ensuring that every child grows up happy, healthy, and curious to learn. Research shows that students whose parents are involved in their education are more likely to: Adapt well to school, Attend school more regularly, Complete homework more consistently, Earn higher grades and test scores, Graduate and go on to college, Have better social skills, Show improved behavior, Have better relationships with their parents and Have higher self-esteem.
The most inclusive school communities are ones that encourage parents, students, and teachers to come together, Having clear and open communication means opening up channels for dialogue. Whether it’s between parents and children, students and teachers, or between peers. creating an open and honest environment where communication and discussion is welcome ensures that everyone feels included and like their voice will be heard. A supportive and communicative environment is one of the key characteristics of a positive school climate.
One of the most important ways to build a strong and supportive school network is to communicate: communicate effectively, communicate promptly, and communicate often. Celebrate your school community’s successes, address any considerations or concerns, and encourage other voices to be heard (such as the opinions and thoughts of teachers and students).
Digital platforms and apps are great tools to simplify communication between parents, teachers, and administrators to make sure information flows to everyone in an easy and seamless way - whether it’s through distributing an online school news, to creating forums for exchange between the community. Platforms such as Schoolio are revolutionizing Education communication management through products that keep school communities connected at a low cost to ensure that students gain the benefits of having a strong and connected school network around them.


Active Job – Make work happen later
Active Job is a framework for declaring jobs and making them run on a variety of queueing backends. These jobs can be everything from regularly scheduled clean-ups, to billing charges, to mailings. Anything that can be chopped up into small units of work and run in parallel, really.
It also serves as the backend for Action Mailer's deliver_later functionality that makes it easy to turn any mailing into a job for running later. That's one of the most common jobs in a modern web application: Sending emails outside of the request-response cycle, so the user doesn't have to wait on it.
The main point is to ensure that all Rails apps will have a job infrastructure in place, even if it's in the form of an “immediate runner”. We can then have framework features and other gems build on top of that, without having to worry about API differences between Delayed Job and Resque. Picking your queuing backend becomes more of an operational concern, then. And you'll be able to switch between them without having to rewrite your jobs.
Usage
Set the queue adapter for Active Job:
ActiveJob::Base.queue_adapter = :inline # default queue adapter
Note: To learn how to use your preferred queueing backend see its adapter documentation at ActiveJob::QueueAdapters.
Declare a job like so:
class MyJob < ActiveJob::Base
queue_as :my_jobs
def perform(record)
record.do_work
end
end
Enqueue a job like so:
MyJob.perform_later record # Enqueue a job to be performed as soon the queueing system is free.
MyJob.set(wait_until: Date.tomorrow.noon).perform_later(record) # Enqueue a job to be performed tomorrow at noon.
MyJob.set(wait: 1.week).perform_later(record) # Enqueue a job to be performed 1 week from now.
That's it!
GlobalID support
Active Job supports GlobalID serialization for parameters. This makes it possible to pass live Active Record objects to your job instead of class/id pairs, which you then have to manually deserialize. Before, jobs would look like this:
class TrashableCleanupJob
def perform(trashable_class, trashable_id, depth)
trashable = trashable_class.constantize.find(trashable_id)
trashable.cleanup(depth)
end
end
Now you can simply do:
class TrashableCleanupJob
def perform(trashable, depth)
trashable.cleanup(depth)
end
end
This works with any class that mixes in GlobalID::Identification, which by default has been mixed into Active Record classes.
Supported queueing systems
Active Job has built-in adapters for multiple queueing backends (Sidekiq, Resque, Delayed Job and others). To get an up-to-date list of the adapters see the API Documentation for ActiveJob::QueueAdapters.
Auxiliary gems
Download and installation
The latest version of Active Job can be installed with RubyGems:
% [sudo] gem install activejob
Source code can be downloaded as part of the Rails project on GitHub
License
Active Job is released under the MIT license:
Support
API documentation is at
Bug reports can be filed for the Ruby on Rails project here:
Feature requests should be discussed on the rails-core mailing list here:


--- layout: page title: About header-img: "img/about-bg.png" ---
I live in Atlanta, GA. I'm passionate about traveling, reading, animals, family and friends, and learning new things. My background is varied, but I've never worked in a technical field and am so excited to have the opportunity.


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object java.security.Permission java.security.UnresolvedPermission
public final class UnresolvedPermission
The UnresolvedPermission class is used to hold Permissions that were "unresolved" when the Policy was initialized. An unresolved permission is one whose actual Permission class does not yet exist at the time the Policy is initialized (see below).
The policy for a Java runtime (specifying which permissions are available for code from various principals) is represented by a Policy object. Whenever a Policy is initialized or refreshed, Permission objects of appropriate classes are created for all permissions allowed by the Policy.
Many permission class types referenced by the policy configuration are ones that exist locally (i.e., ones that can be found on CLASSPATH). Objects for such permissions can be instantiated during Policy initialization. For example, it is always possible to instantiate a java.io.FilePermission, since the FilePermission class is found on the CLASSPATH.
Other permission classes may not yet exist during Policy initialization. For example, a referenced permission class may be in a JAR file that will later be loaded. For each such class, an UnresolvedPermission is instantiated. Thus, an UnresolvedPermission is essentially a "placeholder" containing information about the permission.
Later, when code calls AccessController.checkPermission on a permission of a type that was previously unresolved, but whose class has since been loaded, previously-unresolved permissions of that type are "resolved". That is, for each such UnresolvedPermission, a new object of the appropriate class type is instantiated, based on the information in the UnresolvedPermission.
To instantiate the new class, UnresolvedPermission assumes
the class provides a zero, one, and/or two-argument constructor.
The zero-argument constructor would be used to instantiate
a permission without a name and without actions.
A one-arg constructor is assumed to take a String
name as input, and a two-arg constructor is assumed to take a
String
name and String
actions
as input. UnresolvedPermission may invoke a
constructor with a null
name and/or actions.
If an appropriate permission constructor is not available,
the UnresolvedPermission is ignored and the relevant permission
will not be granted to executing code.
The newly created permission object replaces the UnresolvedPermission, which is removed.
Note that the getName
method for an
UnresolvedPermission
returns the
type
(class name) for the underlying permission
that has not been resolved.
Permission
,
Permissions
,
PermissionCollection
,
Policy
,
Serialized Form| Constructor Summary | |
|---|---|
UnresolvedPermission(String type,
String name,
String actions,
Certificate[] certs)
Creates a new UnresolvedPermission containing the permission information needed later to actually create a Permission of the specified class, when the permission is resolved. |
| Method Summary | |
|---|---|
boolean |
equals(Object obj)
Checks two UnresolvedPermission objects for equality. |
String |
getActions()
Returns the canonical string representation of the actions, which currently is the empty string "", since there are no actions for an UnresolvedPermission. |
String |
getUnresolvedActions()
Get the actions for the underlying permission that has not been resolved. |
Certificate[] |
getUnresolvedCerts()
Get the signer certificates (without any supporting chain) for the underlying permission that has not been resolved. |
String |
getUnresolvedName()
Get the target name of the underlying permission that has not been resolved. |
String |
getUnresolvedType()
Get the type (class name) of the underlying permission that has not been resolved. |
int |
hashCode()
Returns the hash code value for this object. |
boolean |
implies(Permission p)
This method always returns false for unresolved permissions. |
PermissionCollection |
newPermissionCollection()
Returns a new PermissionCollection object for storing UnresolvedPermission objects. |
String |
toString()
Returns a string describing this UnresolvedPermission. |
| Methods inherited from class java.security.Permission |
|---|
checkGuard, getName |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public UnresolvedPermission(String type, String name, String actions, Certificate[] certs)
type
- the class name of the Permission class that will be
created when this unresolved permission is resolved.name
- the name of the permission.actions
- the actions of the permission.certs
- the certificates the permission's class was signed with.
This is a list of certificate chains, where each chain is composed of a
signer certificate and optionally its supporting certificate chain.
Each chain is ordered bottom-to-top (i.e., with the signer certificate
first and the (root) certificate authority last). The signer
certificates are copied from the array. Subsequent changes to
the array will not affect this UnsolvedPermission.| Method Detail |
|---|
public boolean implies(Permission p)
implies
in class Permission
p
- the permission to check against.
public boolean equals(Object obj)
To determine certificate equality, this method only compares actual signer certificates. Supporting certificate chains are not taken into consideration by this method.
equals
in class Permission
obj
- the object we are testing for equality with this object.
Object.hashCode()
,
Hashtable
public int hashCode()
hashCode
in class Permission
Object.equals(java.lang.Object)
,
Hashtable
public String getActions()
getActions
in class Permission
public String getUnresolvedType()
public String getUnresolvedName()
null
,
if there is no targe namepublic String getUnresolvedActions()
null
if there are no actionspublic Certificate[] getUnresolvedCerts()
public String toString()
toString
in class Permission
public PermissionCollection newPermissionCollection()
newPermissionCollection
in class Permission
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


To save part of a picture into another bitmap file
- In the toolbox, click to select a rectangular area or click to select a free-form area.
- Drag the pointer to define the area you want to save.
- On the Edit menu, click Copy To.
- Specify a folder and a file name, and then click Save.


Prairie Fields Welcomes You!
Prairie Fields HOA is an organization of and for the owners of property in Prairie Fields subdivision, Savoy. Prairie Fields is regulated by covenants covering each phase of the development and currently operates under the HOA Bylaws. The day to day operations are run by an all-volunteer Board of Directors along with help from many committee volunteers. The Board establishes the annual dues assessment and is responsible for using the money assessed to maintain and improve HOA property and offer programs which are of value to Prarie Fields residents, thereby increasing the value of the neighborhood.


Home
Identify
Map
Treatment
Game
Poison Oak Field Guide
Avoid
Key
Click on each pin on the map to display location of poison oak!
This is an open-sourced project. If you would like to contribute and add locations with poison oak, please email us for repository access email@epicous.com.


Julia version 0.7 brings with it an exciting new feature: the ability to customize broadcast fusion! This recently-merged change is the culmination of a long iterative design process that involved many members of the community. We have converged on a highly extensible interface that should satisfy many use-cases. In this blog post I’ll explain why this is a big deal by reviewing some of the key features and just scratch the surface of all that is possible with this new design. I’m quite certain that our enterprising community will come up with many more clever ways to exploit this new structure in the future.
Broadcasting is a core feature of Julia: it allows you to compactly and efficiently
express an elementwise operation over containers and scalars by annotating operators and
function calls with a .
. In cases where the sizes don’t match, broadcasting will virtually
extend missing dimensions or “singleton” dimensions (which contain only one value) by
repeating them to fill the outer shape. For example, the expression ([1, 2, 3] .+ [10 20 30
40]) ./ 10
combines a 3-element column vector, a 1x4 matrix, and a scalar to compute a 3x4
result. I imagine this as “extruding” the vector across the columns of the one-row matrix
and spreading the division by 10 across the entire result:
julia> ([1, 2, 3] .+ [10 20 30 40]) ./ 10
3×4 Array{Float64,2}:
1.1 2.1 3.1 4.1
1.2 2.2 3.2 4.2
1.3 2.3 3.3 4.3
Since version 0.6, Julia has executed this expression by “fusing” the two operations
into a single kernel. That is, instead of first constructing an integer matrix resulting
from the addition ([11 21 31 41; 12 22 ...]
) and then subsequently using a second loop to
divide each element by 10, Julia does both the addition and division for each element at the
same time, making just one pass through the output array and skipping intermediate array(s)
entirely. This fusion optimization happens as a syntax-level transformation so it is
guaranteed to occur and easy to reason about. Version 0.7 adds an extensible API on top of
this feature that allows arrays to customize precisely how this operates.
Julia now uses a first-class data structure to “lazily” represent a fused broadcast expression before executing it. If you’re not a package developer this may not mean all that much to you, but you’ll still reap the many rewards. In Base Julia and its standard libraries alone, this means:
BitArray
s can identify cases where they can operate on 64 boolean elements at once,
yielding huge performance gains — often two orders of magnitude or more! For an easy
example, I’ll just use random data with a simple A
and not B
predicate:
julia> using BenchmarkTools, Random
srand(0)
A = bitrand(10^6)
B = bitrand(10^6)
@benchmark $A .& .!$B
BenchmarkTools.Trial:
memory estimate: 122.23 KiB
allocs estimate: 3
--------------
minimum time: 7.891 μs (0.00% GC)
median time: 13.152 μs (0.00% GC)
mean time: 17.826 μs (9.62% GC)
maximum time: 591.497 μs (95.73% GC)
--------------
samples: 10000
evals/sample: 1
Compare this to previously on 0.6:
BenchmarkTools.Trial:
memory estimate: 126.45 KiB
allocs estimate: 6
--------------
minimum time: 3.615 ms (0.00% GC)
median time: 3.741 ms (0.00% GC)
mean time: 3.764 ms (0.18% GC)
maximum time: 7.744 ms (50.18% GC)
--------------
samples: 1328
evals/sample: 1
That’s upwards of a 450x performance gain.
Broadcasted operations over ranges can now simply re-compute a new range instead of
working element-wise if it’s possible. For example, the expression ((1:10000) .+ 20) .* 7
doesn’t need to allocate a vector for 10,000 elements — it doesn’t even need to do 10,000
computations. It can instead operate in terms of the start, stop, and step and return a
new range that represents the result: 147:7:70140
. This new feature allows them to
transform O(N) computations into O(1). On version 0.6, ranges were in this strange
place where (1:10000) + 20
implemented the fast O(1) computation of a new range, but
all other array types had deprecated addition with numbers in favor of explicit .+
broadcasting for clearer semantics and improved performance. Thanks to this new API,
ranges can now identify these cases and fully support broadcasting in an efficient manner.
The structured matrices in the LinearAlgebra
standard library no longer return
sparse arrays as the result of a broadcasted operation. They’ll now either maintain an
appropriate structure or return a dense array. For example:
julia> using LinearAlgebra
d = Diagonal(1:3)
3×3 Diagonal{Int64,UnitRange{Int64}}:
1 ⋅ ⋅
⋅ 2 ⋅
⋅ ⋅ 3
julia> d ./ 10
3×3 Diagonal{Float64,Array{Float64,1}}:
0.1 ⋅ ⋅
⋅ 0.2 ⋅
⋅ ⋅ 0.3
julia> t = d .+ LowerTriangular(rand(3,3))
3×3 LowerTriangular{Float64,Array{Float64,2}}:
1.5446 ⋅ ⋅
0.529211 2.26095 ⋅
0.533674 0.373702 3.88408
julia> t .+ 100
3×3 Array{Float64,2}:
101.327 100.0 100.0
100.85 102.138 100.0
100.575 100.129 103.839
Previously, Julia 0.6 would have returned a SparseMatrixCSC
for d ./ 10
and an Array
for d .+ LowerTriangular(rand(3,3))
.
Finally, broadcasting at the global scope is now pre-compilable, and you can use
dot-broadcast inside generated functions.
You can see precisely how a fused broadcast is represented with Meta.@lower
, but in
simpler terms the expression ([1, 2, 3] .+ [10 20 30 40]) ./ 10
is effectively a syntax
transformation for:
julia> using .Broadcast: materialize, broadcasted
bc = broadcasted(/, broadcasted(+, [1, 2, 3], [10 20 30 40]), 10)
materialize(bc)
3×4 Array{Float64,2}:
1.1 2.1 3.1 4.1
1.2 2.2 3.2 4.2
1.3 2.3 3.3 4.3
In this case, that bc
object is an instance of a Broadcasted
struct. It just holds onto
the function and its arguments — and its arguments may include other nested Broadcasted
structs. The materialize
function does a bit of pre-processing and then calls copy(bc)
,
which allocates the result and then finally loops over the result and executes the functions.
Each step along the way is extensible, leveraging the power of Julia’s multiple dispatch, inlining and argument specialization for near-zero overhead. With this basic framework in mind, you can begin to see how the built-in and standard library arrays are able to implement all those new features mentioned above:
When broadcasting into a BitArray
, it can first introspect the functions and their
arguments in the expression tree to see if it can operate at the level of the packed
64-bit chunks as UInt64
s instead of working bit-by-bit. It can even convert boolean-only
operators like !
to their equivalent bitwise operators like ~
.
Ranges are able to “opt-out” of fusion by defining specialized Broadcast.broadcasted
methods that immediately return those re-computed ranges. This means that they do not fuse
multiple operations at all, but in exchange they get an O(1) algorithm.
When LinearAlgebra
’s structured matrices are asked to allocate the result, their
specialized broadcast_similar
methods can walk through the Broadcasted
expression tree
and identify if any structure will remain.
Fused broadcast expressions no longer construct an anonymous function behind your back; they just construct new instances of a Julia data structure that simply call functions that are already defined. This is what allows them to be precompiled and work in generated functions.
Of course, this is all documented and available to packages. There’s no secret sauce that we’re hoarding for ourselves. It’ll be exciting to see how the many creative minds in the package ecosystem manage to take advantage of all this new functionality. Some of the places where I see this yielding a significant benefit include machine learning applications and computation on GPUs.
Historically, some of the machine learning libraries have put in place hacks to allow their arrays to opt-out of fusion. The new broadcasting API instead allows them to opt-out of fusion with a first-class and fully supported mechanism that is much simpler to implement. Further, many deep learning techniques are heavily dependent upon differentiation; in some cases introspecting a broadcasted kernel will allow them to use an exact analytical result instead of computing differentials.
Finally, fusing a complicated broadcast expression into a single kernel has already been a
huge boon to the performance of arrays on GPUs. Most GPU programming packages won’t
necessarily need to introspect or customize the broadcasted expression, but they’re looking
to the future to a potential extension that would allow fusing a reduction with the
broadcasted expression. While not possible yet, the bulk of the machinery is in place to
operate directly upon the Broadcasted
lazy wrapper instead of allocating the intermediate
array in an expression like sum(X.^2 .+ Y.^2)
.


Plaintext:You check your phone for advice on the error, and come across a recent news article with the byline: Cloud server farm struck by lightning! Mass data casualties expected! The End, but not really. Click on the rewind arrows to start over.


About Me: I am from Santa Ana, CA. I am the first from my family to go to college. Currently Attending Santa Ana College. I am currently taking various classes in business and computer science to one day run an I.T business or make a corporation manufacturing PCs and PC components.
Experience: Entry-Level positions. Not a big skill set. Willing to learn and gain more skills.
Education: Santa Ana College August 2015 - Present
Technical Skills:
Projects: Made first website using Microsoft Visual Studio. Made this online resume. Built my own custom PC.


Device Query
NVIDIA CUDA deviceQuery sample application for JARVICE PushToCompute™ tutorial
For questions about PushToCompute™, please see the PushToCompute Tutorial.
For more information about NVIDIA GPUs, please refer to the official NVIDIA website.
This help file is added to your application by adding a file to /etc/NAE/help.html
in your Dockerfile.


|
Genetic Algorithm
|
Table of Contents
<details open="open">
</details>
This program is to find a optimal circuit to get max performance by using genetic algorithm, and then generate a graph to show the result. In this program, you can compile and run it cross platform (Ubuntu and Windows).
To compile and run our program, you should follow the instruction below.
You should install these tools before you compile this program
Compile this program
On windows:
On Ubuntu
after use CMake to generate the Makefile, you can just use command make
every time you modify the code. "CMAKE ONCE, MAKE EVEVRYWHERE"
The software will ask users to input how many times to run, any generations, crossover and mutation probability, whether users wants to print and write to txt or not by clear instructions guided on the terminal. And it will return the best vector with fitness we found for you automatcially.
On Windows
On Ubuntu
The example python script requires a working python installation of Graphviz. For conda users a working environment can be
or you can (conda) install the packages yourself
The output from previous algorithm should be written in vector.txt, whose content looks like this:
After those set-up things, you can run this to test from command line:
For example:
You will have the visulization of the units in file myOutput.png
. Cheers!🍺
After you use CMake and make to compile this project successfully, you can use this command below to test
and it will run on Windows or Ubuntu successfully
Distributed under the MIT License. See LICENSE
for more information.
Pozzetti, Andrea - andre a.po zzett i20@ imper ial. ac.uk
Zhang, Zhijin - zhiji n.zh ang20 @imp erial .ac. uk
He, Tianxu - tianx u.he 19@im peri al.ac .uk
Wang, Yikang - yikan g.wa ng20@ impe rial. ac.u k
Ge, Zeena - zihui .ge2 0@imp eria l.ac. uk
Lyu, Shiqi - shiqi .lyu 20@im peri al.ac .uk
Ilia, Aikaterini - aikat erin i.ili a20@ imper ial. ac.uk
lin, yushen - yushe n.li n20@i mper ial.a c.uk
Project Link: acse-4-gormanium-rush-fluorite


This page tracks the new paper links made to my list of SCA 2011 papers.
Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
November 6, 2011
- Optimization for Sag-Free Simulations
August 22, 2011
- Human Motion Reconstruction from Force Sensors
- Hybrid Smoothed Particle Hydrodynamics
August 20, 2011
- Added DOI links
- Asynchronous Integration with Phantom Meshes
- A Multigrid Fluid Pressure Solver Handling Separating Solid Boundary Conditions
- Perceptual evaluation of footskate cleanup
August 17, 2011
- Preview-based Sampling for Controlling Gaseous Simulations
August 15, 2011
- Facial Cartography: Interactive Scan Correspondence
- A Data-driven Appearance Model for Human Fatigue
August 5, 2011
- Content Retargeting Using Parameter-Parallel Facial Layers
August 2, 2011
- A Level-set Method for Skinning Animated Particle Data
July 27, 2011
- Biomechanically-Inspired Motion Path Editing
- Controllable Hand Deformation from Sparse Examples with Rich Details
July 24, 2011
- Element-Wise Mixed Implicit-Explicit Integration for Stable Dynamic Simulation of Deformable Objects
- Mass and Momentum Conservation for Fluid Simulation
- A Puppet Interface for Retrieval of Motion Capture Data
July 23, 2011
- A Particle-based Method for Preserving Fluid Sheets
- Physics-based Character Skinning using Multi-Domain Subspace Deformations
- SPH Granular Flow with Friction and Cohesion
July 17, 2011
- Mathematical Foundation of the Optimization-based Fluid Animation Method
July 16, 2011
- Practical Color-Based Motion Capture
(
TR)
(
)
- A Simple Finite Volume Method for Adaptive Viscous Liquids
- Real-Time Classification of Dance Gestures from Skeleton Animation
- Robust Real-Time Deformation of Incompressible Surface Meshes
- Procedural Fluid Modeling of Explosion Phenomena Based on Physical Properties
- Scenario Space: Characterizing Coverage, Quality, and Failure of Steering Algorithms
July 14, 2011
- Mass and Momentum Conservation for Fluid Simulation
July 9, 2011
- Simulating Heterogeneous Crowd Behaviors Using Personality Trait Theory
July 5 2011
- Page published
- Practical Color-Based Motion Capture
TR
- Graph-based Fire Synthesis
kesen.huang@gmail.com


{% import '_includes/forms' as forms %}
Please enter the following details, as found from your stores FoxyCart administration within the settings and advanced pages.
{{ forms.textField({ label: 'Store Domain'|t, required: true, name: 'storedomain', value: settings.storedomain, placeholder: "mystore.foxycart.com", instructions: 'Like yourstore.foxycart.com or secure.yourstore.com'|t, errors: settings.getErrors('storedomain') }) }} {{ forms.textField({ label: 'API Key'|t, required: true, name: 'apikey', value: settings.apikey, instructions: 'As found on the "Advanced" page of your stores FoxyCart administration'|t, errors: settings.getErrors('apikey') }) }} {{ forms.lightswitchField({ label: 'Enable SSO?'|t, name: 'ssoEnabled', on: (CraftEdition == CraftPro ? settings.ssoEnabled : false), disabled: (CraftEdition < CraftPro), instructions: (CraftEdition == CraftPro ? "Enable this setting to activate user syncronisation with FoxyCart's Single Sign-On functionality"|t : "Craft Pro is required to use this feature"|t), onLabel: "Yes"|t, offLabel: "No"|t, toggle: 'ssoOptions' }) }}| {{ "Type"|t }} | {{ "URL"|t }} |
|---|---|
| {{ "Webhooks"|t }} | {{ siteUrl }}{{ craft.config.actionTrigger }}/foxyCart/webhook |
| {{ "SSO"|t }} | {% if settings.ssoEnabled %}{{ siteUrl }}{{ craft.config.actionTrigger }}/foxyCart/sso {% else %}Currently not enabled{% endif %} |


Module: SimpleCov::ResultMerger
| Relationships & Source Files | |
| Defined in: | lib/simplecov/result_merger.rb |
Overview
Singleton that is responsible for caching, loading and merging SimpleCov::Results
into a single result for coverage analysis based upon multiple test suites.
Class Method Summary
- .adapt_pre_simplecov_0_18_result(result)
-
.adapt_result(result)
We changed the format of the raw result data in simplecov, as people are likely to have “old” resultsets lying around (but not too old so that they’re still considered we can adapt them).
- .create_result(command_names, coverage)
- .merge_and_store(*file_paths, ignore_timeout: false)
- .merge_coverage(*results)
- .merge_results(*file_paths, ignore_timeout: false)
- .merge_valid_results(results, ignore_timeout: false)
-
.merged_result
Gets all
SimpleCov::Results
stored in resultset, merges them and produces a newResult
with merged coverage data and the command_name for the result consisting of a join on all source result’s names. - .parse_file(path)
- .parse_json(content)
-
.pre_simplecov_0_18_result?(result) ⇒ Boolean
pre 0.18 coverage data pointed from file directly to an array of line coverage.
- .read_file(path)
- .read_resultset
-
.resultset_path
The path to the
.resultset
.json cache file. - .resultset_writelock
-
.store_result(result)
Saves the given
Result
in the resultset cache. -
.synchronize_resultset
Ensure only one process is reading or writing the resultset at any given time.
- .time_since_result_creation(data)
- .valid_results(file_path, ignore_timeout: false)
- .within_merge_timeout?(data) ⇒ Boolean
Class Method Details
.adapt_pre_simplecov_0_18_result(result)
[ GitHub ].adapt_result(result)
We changed the format of the raw result data in simplecov, as people are likely to have “old” resultsets lying around (but not too old so that they’re still considered we can adapt them). See github.com/simplecov-ruby/simplecov/pull/824#issuecomment-576049747
# File 'lib/simplecov/result_merger.rb', line 172
def adapt_result(result) if pre_simplecov_0_18_result?(result) adapt_pre_simplecov_0_18_result(result) else result end end
.create_result(command_names, coverage)
[ GitHub ].merge_and_store(*file_paths, ignore_timeout: false)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 22
def merge_and_store(*file_paths, ignore_timeout: false) result = merge_results(*file_paths, ignore_timeout: ignore_timeout) store_result(result) if result result end
.merge_coverage(*results)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 100
def merge_coverage(*results) return [[""], nil] if results.empty? return results.first if results.size == 1 results.reduce do |(memo_command, memo_coverage), (command, coverage)| # timestamp is dropped here, which is intentional (we merge it, it gets a new time stamp as of now) merged_coverage = Combine.combine(Combine::ResultsCombiner, memo_coverage, coverage) merged_command = memo_command + command [merged_command, merged_coverage] end end
.merge_results(*file_paths, ignore_timeout: false)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 28
def merge_results(*file_paths, ignore_timeout: false) # It is intentional here that files are only read in and parsed one at a time. # # In big CI setups you might deal with 100s of CI jobs and each one producing Megabytes # of data. Reading them all in easily produces Gigabytes of memory consumption which # we want to avoid. # # For similar reasons a SimpleCov::Result is only created in the end as that'd create # even more data especially when it also reads in all source files. initial_memo = valid_results(file_paths.shift, ignore_timeout: ignore_timeout) command_names, coverage = file_paths.reduce(initial_memo) do |memo, file_path| merge_coverage(memo, valid_results(file_path, ignore_timeout: ignore_timeout)) end create_result(command_names, coverage) end
.merge_valid_results(results, ignore_timeout: false)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 74
def merge_valid_results(results, ignore_timeout: false) results = results.select { |_command_name, data| within_merge_timeout?(data) } unless ignore_timeout command_plus_coverage = results.map do |command_name, data| [[command_name], adapt_result(data.fetch("coverage"))] end # one file itself _might_ include multiple test runs merge_coverage(*command_plus_coverage) end
.merged_result
Gets all SimpleCov::Results
stored in resultset, merges them and produces a new Result
with merged coverage data and the command_name for the result consisting of a join on all source result’s names
# File 'lib/simplecov/result_merger.rb', line 117
def merged_result # conceptually this is just doing `merge_results(resultset_path)` # it's more involved to make syre `synchronize_resultset` is only used around reading resultset_hash = read_resultset command_names, coverage = merge_valid_results(resultset_hash) create_result(command_names, coverage) end
.parse_file(path)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 51
def parse_file(path) data = read_file(path) parse_json(data) end
.parse_json(content)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 65
def parse_json(content) return {} unless content JSON.parse(content) || {} rescue StandardError warn "[SimpleCov]: Warning! Parsing JSON content of resultset file failed" {} end
.pre_simplecov_0_18_result?(result) ⇒ Boolean
pre 0.18 coverage data pointed from file directly to an array of line coverage
.read_file(path)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 56
def read_file(path) return unless File.exist?(path) data = File.read(path) return if data.nil? || data.length < 2 data end
.read_resultset
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 126
def read_resultset resultset_content = synchronize_resultset do read_file(resultset_path) end parse_json(resultset_content) end
.resultset_path
The path to the .resultset
.json cache file
# File 'lib/simplecov/result_merger.rb', line 14
def resultset_path File.join(SimpleCov.coverage_path, ".resultset.json") end
.resultset_writelock
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 18
def resultset_writelock File.join(SimpleCov.coverage_path, ".resultset.json.lock") end
.store_result(result)
Saves the given Result
in the resultset cache
# File 'lib/simplecov/result_merger.rb', line 136
def store_result(result) synchronize_resultset do # Ensure we have the latest, in case it was already cached new_resultset = read_resultset # A single result only ever has one command_name, see `SimpleCov::Result#to_hash` command_name, data = result.to_hash.first new_resultset[command_name] = data File.open(resultset_path, "w+") do |f_| f_.puts JSON.pretty_generate(new_resultset) end end true end
.synchronize_resultset
Ensure only one process is reading or writing the resultset at any given time
# File 'lib/simplecov/result_merger.rb', line 153
def synchronize_resultset # make it reentrant return yield if defined?(@resultset_locked) && @resultset_locked begin @resultset_locked = true File.open(resultset_writelock, "w+") do |f| f.flock(File::LOCK_EX) yield end ensure @resultset_locked = false end end
.time_since_result_creation(data)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 89
def time_since_result_creation(data) Time.now - Time.at(data.fetch("timestamp")) end
.valid_results(file_path, ignore_timeout: false)
[ GitHub ]# File 'lib/simplecov/result_merger.rb', line 46
def valid_results(file_path, ignore_timeout: false) results = parse_file(file_path) merge_valid_results(results, ignore_timeout: ignore_timeout) end
.within_merge_timeout?(data) ⇒ Boolean
# File 'lib/simplecov/result_merger.rb', line 85
def within_merge_timeout?(data) time_since_result_creation(data) < SimpleCov.merge_timeout end


|
|
In radar meteorologically, motion can be divided to two phenomenon: atmospheric motion, which is motion of air and falling hydrometeors, and motion of precipitation area, which can be further divided into motion of convective and stratiform areas, for example. Rack is capable of detecting both of them.
Weather radars capable of measuring Doppler speed produce hydrometeor velocities projected on the beam – hence one-dimensional. The obtained speeds are further aliased by the maximum unambiguous velocity, . In the following, two derived products by are presented.
The Doppler field can be smoothed with –pDopplerAvg
command:
There are several parameters, determining the window width and height, minimum percentage for the samples in the window, switch for compensating the beam broadening, as well as switch for scaling the result with maximum unambiguous speed (stored as how:NI
in ODIM metadata).
There is also an exponential (yet asymmetric) –pDopplerAvgExp
. It is recommended to use at least 16-bit resolution to store averaged fields.
The standard deviation in Doppler field can be displayed with –pDopplerDev
command.
The parameters are the same as in the Doppler averaging above.
See also the corresponding anomaly detector: Detecting variations in Doppler wind .
Basic usage creates polar products, ie. a resulting array is in polar coordinates:
The vector field can be stored in text format to as follows:
The filename has to have "dat" as extension. See Sampling grid data for further instructions of using –sample
. The output (truncated in the middle) is as follows:
Typically, user wants to obtain a Cartesian array, obtained with –cCreate
, abbreviated -c
. That operation has to be performed separately for u and v components, and using –append
command to prevent overwriting:
The resulting motion fields will be in the last available dataset group, here dataset1
. This behaviour can be changed with –append
dataset
which puts AMVU
and AMVV
in separate groups.
Similarly, cartesian sampling is done basically by changing extension .h5 to
.dat
producing:
Accompanied utility script draw-vectors.sh
creates plots of vector fields using gnuplot
utility. The original data can be in text (.dat) or HDF5 (
.h5) format. Optional background images can be applied. For example:
As shown above, Rack produces wind fields (u,v) directly, but also de-aliased Doppler fields can be computed. This is obtained by re-projecting the approximated (u,v) data back to radar beams and matching the result with the original aliased data. This approach cancels the smoothing effect apparent in the approximated (u,v) field. Dealiasing is done by setting nyquist
parameter to a desired virtual maximum speed, say 50m/s:
Alternatively, one may skip matching of the original and derived velocities with matchAliased=0
, resulting in smoother images.
Rack provides commands for extracting atmospheric motion vectors (AMV's). There are two approaches:
Both approaches are based on least-squares fitting applying matrix inversion.
The technique is called optical flow, and is based on computing spatial and temporal differentials. Further, the implementation in Rack applies sliding window techniques which makes the approach computationally quick even with windows of size 75x75, for example.
The command, –cOpticalFlow
, takes several parameters. The first two define the size of the sliding window.
The third parameter is an optional threshold, for example 0 (dBZ) in case of reflectivity data. Thresholding may be needed in order to filter apparent echo area edges caused radar geometry and sensitivity.
Smoothing (1=true) is always recommended especially with radar images that have large areas of empty data ie. "undetected" echoes. Alternatively, radar data can be smoothed by some separate process or previous commands, say –iAverage
or –iGaussianAverage
.
The input should contain two Cartesian datasets, for example composites. An optimal time difference between the files is typically 15 or 30 minutes. Such file can be generated for example with
The actual processing is done as follows:
The resulting file contains horizontal motion vector (u, v) stored in quantities AMVU
and AMVV
. In addition, a quality field (with QIND
) is provided. In addition, if –store
intermediate=1 is set, then the following fields are stored:
Note that the above commands can be combined to a single command line, avoiding creation of intermediate file (composite-pair.h5
).
As with Doppler motion, script draw-vectors.sh
can be used for visualizing the result:
Both methods described above produce an incomplete motion field: Doppler dealiasing provides realiable vectors inside wide-spread precipitation whereas optical flow based motion analysis works best with visual details like edges and specks. Rack provides some methods for spreading the vector fields, with optional support of quality information. The methods are essentially image operators described in Working with images.
The spreading methods for two dimensional motion vectors are illustrated using an artificial image of "clouds" shown below. In vectors, high, intermediate, and low quality are illustrated in green, blue and pink colour, respectively. Utility script draw-vectors.sh
and GnuPlot have been used in creating the visualisations below.
An straighforward way to spread scalar or vector data is to apply a smoothing window on data. In Rack, fast and simple smoothing is carried out using rectangular averaging window:
As a computational speed-up, the rectangular averaging window of size is internally performed by followed by window averaging; the narrow windows themselves are updated (accumulated) continuously, as a "pipeline", resulting in a very fast operation. As a disadvantage, rectangular patterns may also appear in the resulting images.
Two-dimensional Gaussian bell function produces smooth fields. Also that operator can be a separated to two consecutive one-dimensional run of and windows, yet without pipelining. The bell curve is principally continuous and infinite, but practically truncated to size slightly larger than those of respective rectangular averaging windows.
Sometimes it is desired that opposite vector components do not cancel each other but the magnitudes be preserved like in a flow a fluid or particles. Using –iFlowAverage
produces such vectors, pointing to directions of conventionally averaged vectors.
The shape of this window operator is rectangular, and basically cannot be accelerated ie. separated to two operations with narrow windows. Technically, such processing can be performed by issuing the commands explicitly, producing an approximation of the true rectangular window operation:
The problem with all the averaging operators is that they also blur areas of high-quality vectors. As a solution, the vectors of low quality in the resulting image should be overridden with vectors of higher quality of the original image. This kind of combination can be produced repeatedly using –iBlender
which employs a desired averaging operator (above) with a maximum or mixing operator with the original image:
An alternative way to spead vector fields is to apply distance transform based methods: data values are propagated in all the directions such that the underlying quality field is decreased as a function of distance.
Propagation continues in low-quality areas until higher quality values are encountered. This method is very fast, but as a disadvantage the resulting vector fields contain segments of constant values as no averaging is involved. The basic version is applies linear model ie. constant steps in decreasing the underlying quality field. If the data has no quality data, it can be created with –createDefaultQuality
.
When using distance transform approach, an area of high quality may override an area of lower quality if the areas are close enough like in the upper right corner of the sample image (the motion field of the pentagon overrides that of the rectangle). When using an exponential model, the resulting quality field has steeply decaying values - that however continue to infinity, in the limits of storage type precision.
The linear and exponential approaches have same the computional complexity.
It is possible to generate composites of single-radar motion fields presented above. The procedure is essenstially the same as with intensity data, explained in Cartesian conversions and composites . However, compositing has to be done separately for each parameter, in this case horizontal wind components AMVU
and AMVV
.
For example, assuming that –c <files> are a set of motion files to be composites:
Note that the input files can be the same in the above lines, if they contain both the quantities.


Your order will be processed and delivered within 2 hours, make sure you have the total amount for order during delivery.
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Xlsxir v1.5.1 Xlsxir.SharedString
An Erlang Term Storage (ETS) process named :sharedstrings
which holds state for data parsed from sharedStrings.xml
. Provides functions to create the process, add
and retreive data, and ultimately kill the process.
Summary
Functions
Stores a sharedstring at a given index in the ETS process
Validates whether the ETS process is active, returning true or false
Deletes the ETS process from memory
Returns a sharedstring at a given index of the ETS process
Initializes new ETS process with [:set, :protected, :named_table]
options


Runsmith
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AWS Cloud Map ServiceDiscovery HealthCheckConfig
The
HealthCheckConfig
property type specifies settings for an optional Amazon Route 53 health check.
If you specify settings for a health check, AWS Cloud Map associates the health
check with all the records
that you specify in DnsConfig
.
HealthCheckConfig
is a property of the
AWS::ServiceDiscovery::Service resource.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" :
String
, "ResourcePath" :String
, "FailureThreshold" :Double
}
YAML
Type:
String
ResourcePath:String
FailureThreshold:Double
Properties
Type
-
The type of health check that you want to create, which indicates how Route 53 determines whether an endpoint is healthy. Valid types include
HTTP
,HTTPS
, andTCP
.Required: Yes
Type: String
Update requires: No interruption
ResourcePath
-
The path that you want Route 53 to request when performing health checks. The path can be any value for which your endpoint will return an HTTP status code of 2xx or 3xx when the endpoint is healthy, such as the file
/docs/route53-health-check.html
. Route 53 automatically adds the DNS name for the service and a leading forward slash (/) character.Required: No
Type: String
Update requires: No interruption
FailureThreshold
-
The number of consecutive health checks that an endpoint must pass or fail for Route 53 to change the current status of the endpoint from unhealthy to healthy or vice versa. For more information, see How Route 53 Determines Whether a Health Check Is Healthy in the Amazon Route 53 Developer Guide
Required: No
Type: Double
Update requires: No interruption
See Also
-
CreateService in the AWS Cloud Map API Reference


We are a young company but our enthusiasts set us apart from our competitors! We are customer centric. Creating happy customers weighs more than profits.
Our customers are from various industries. We provide professional advice and insights to help them target audiences and grow their business.
We offer custom design and development for our customers no matter if it's a giant ecommerce web project or a simple informational page design.
From helping you buy your own domain to support and maintain your web up and running, we prepare our customer with a full package without any backup problems.
Director
Lead Graphic Designer
Lead Developer
UX/Lead developer
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An Integrated Windows Update is a Windows Update that has been Slipstreamed into an Image Package.
Technically these include Security Updates, Internet Explorer Updates, and Language Packages. Updates are the reason why Slipstreaming exists: so they don't have to be installed later by hand.
Slips7ream uses the Integrated Windows Update list, if populated, when Adding Updates to let you know of any duplicates, missing requirements, updates, or already integrated newer versions.


About me
I am a second year Ph.D. student at the Computer Science Department, Tokyo Institute of Technology. I am a member of Murata Lab working on applications of spectral graph theory in graph learning. Since December 2018, I mainly work with Dr. Takanori Maehara on graph theory with applications to graph neural networks.
My name is Hoang Nguyen-Thai and I publish under the name Hoang NT. I answer to "Hoang", "NT", or "gear".
Research
Currently I am working on the graph/vertex classification problems.
Workshops
- Learning Graph Neural Networks with Noisy Labels. Hoang NT, Jun Jin Choong, and Tsuyoshi Murata, LLD Workshop ICLR 2019. Available on Openreview.
Preprints
- A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks. Takanori Maehara and Hoang NT, arXiv 2019. Available on arXiv.
- Revisiting Graph Neural Networks: All We Have is Low-Pass Filters. Hoang NT and Takanori Maehara, arXiv 2019. Available on arXiv. Code.
Get in touch
Pick one: [me,hoang]@gearons.org


{% load staticfiles %}
ArtNet use Deep Learning to learn the style of certain artwork, then transfer your image to that style.
which is also known as style transfer
ArtNet has several styles you can try, gives you cool results, with relatively fast speed.
We provide many styles you can transfer to. All of them are from famous artwork.
We use deep learning to learn the inner style of artworks. Create your awesome artwork by yourself.
Although we only use a CPU with only one core, we can finish your artwork in few seconds.
This project is open sourced, and hosted on GitHub, under the MIT License.
You can fork it, raise an issue, make a pull request, or contact me there.
ArtNet is free of charge and you can use, copy, merge, publish and distribute the framework without any limitations.
This project is based on many open source projects and We hope you can join us to improve this project.
We have a Gitter chatroom. Any questions? ask us there. Also, you can send an e-mail to me at nafengjingtaimei [at] gmail.com


This is an example widget, demonstrating the data-binding, event handling, animation shadow DOM and routing capabilities of the NX framework.
The widget's source code can be found in this repo. A tutorial on how to create a widget like this can be found here.


Skip to the content.
LiquidJS
A shopify compatible Liquid template engine in pure JavaScript.
View on Github
Tutorials
API Reference
Feature List
Playground
{{ "welcome to liquid" | capitalize }}
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The NPEGEL program has been initiated by the Government of India to reach girls, especially the girls that are not enrolled in a school. The program was started in July 2003 and this program is a significant component of the SSA. The program provides...
Read MoreThe Right to Education (RTE) Act was enacted in 2009, and this Act made education for every child between 6 and 14 years a fundamental right. It also set the basic norms that must be followed by every elementary school in the country. Thus, children got the right to ...
Read MoreThis plan was launched in 1995 to provide mid-day meals to children studying in primary class. The main objective of creating this scheme was to eliminate classroom hunger of children and to increase attendance and enrolment of children at schools. This scheme also aims to...
Read MoreInfrastructure Development in Minority Institutes (IDMI) scheme would facilitate the education of minorities by augmenting and strengthening school infrastructure in Minority Institutions in order to expand facilities for formal education to children of minority communities. The scheme will cover...
Read More


Inner Thoughts
Vague mantras I repeat to myself Thoughts have on the daily, but ignore just as the man ignores them in the gifs.
vinyl graphics on house walls


Within the file TOMCAT/webapps/yanel/WEB-INF/web.xml one can set
<servlet>
...
<init-param xmlns:webApp="http://java.sun.com/xml/ns/j2ee">
<param-name>ssl-port</param-name>
<param-value>8443</param-value>
</init-param>
</servlet>
Within the file src/build/(local.)build.properties one can set the parameters tomcat1.ssl.port=8443 and tomcat2.ssl.port=8443. Then re-configure Tomcat (run "configure" to turn on SSL for Tomcat resp. patch "conf/server.xml") resp. re-build (run "build" to patch the "web.xml" file) Yanel
Please note that the keystore file local/apache-tomcat-7.0.25/yanel.keystore
is generated by src/build/targets/webapp/webapp.xml
(and src/build/targets/webapp/cluster.xml
), whereas the configiration parameters are taken from src/build/(local.)build.properties
(See properties 'certificate.*').
In some cases Yanel might has to access third-party servers which are only accessible via SSL (e.g. ActiveMQ). In order to do so one can configure a trust-store inside Yanel as described in the following paragraphs:
Assuming that you have a certificate (named 'CA_CERTIFICATE') from the CA that signed the third-party server's certificate. One can create a trust-store file (named 'truststore.jks') by executing the following command:
keytool -importcert -v -alias MY_ALIAS -file CA_CERTIFICATE -storepass MY_PASSWORD -keystore truststore.jks
Check whether the certificate has been added correctly by running (use password MY_PASSWORD)
keytool -v -list -keystore truststore.jks
In order to delete a certificate from the truststore use
keytool -delete -alias MY_ALIAS -keystore truststore.jks
One can configure the location of the trust-store file and its password inside yanel.xml
. Yanel is reading this configuration at startup and will set the java system properties 'javax.net.ssl.trustStore
' and 'javax.net.ssl.keyStorePassword
' accordingly.
Your custom Yanel code (e.g. to init javax.net.ssl.TrustManager[] ...
) might access the trust-store configuration by using
System.getProperty("javax.net.ssl.trustStore");
System.getProperty("javax.net.ssl.keyStorePassword");


- 题目描述：
-
With the 2010 FIFA World Cup running, football fans the world over were becoming increasingly excited as the best players from the best teams doing battles for the World Cup trophy in South Africa. Similarly, football betting fans were putting their money where their mouths were, by laying all manner of World Cup bets.
Chinese Football Lottery provided a "Triple Winning" game. The rule of winning was simple: first select any three of the games. Then for each selected game, bet on one of the three possible results — namely W for win, T for tie, and L for lose. There was an odd assigned to each result. The winner’s odd would be the product of the three odds times 65%.
For example, 3 games’ odds are given as the following:
W T L 1.1 2.5 1.7 1.2 3.0 1.6 4.1 1.2 1.1
To obtain the maximum profit, one must buy W for the 3rd game, T for the 2nd game, and T for the 1st game. If each bet takes 2 yuans, then the maximum profit would be (4.1*3.0*2.5*65%-1)*2 = 37.98 yuans (accurate up to 2 decimal places).
- 输入：
-
Each input file contains one test case. Each case contains the betting information of 3 games. Each game occupies a line with three distinct odds corresponding to W, T and L.
- 输出：
-
For each test case, print in one line the best bet of each game, and the maximum profit accurate up to 2 decimal places. The characters and the number must be separated by one space.
- 样例输入：
-
1.1 2.5 1.7 1.2 3.0 1.6 4.1 1.2 1.1
- 样例输出：
-
T T W 37.98
java 代码如下：
import java.io.BufferedInputStream; import java.util.Scanner; public class Main{ static final char[] carr = {'W','T','L'}; static float a,b,c; static int x,y,z; public static void main(String[] args) { Scanner s = new Scanner(new BufferedInputStream(System.in)); while(s.hasNextFloat()){ for(int i=0; i<3; i++){ float temp1 = s.nextFloat(); if(a < temp1){ a = temp1; x=i; } } for(int i=0; i<3; i++){ float temp1 = s.nextFloat(); if(b < temp1){ b = temp1; y=i; } } for(int i=0; i<3; i++){ float temp1 = s.nextFloat(); if(c < temp1){ c = temp1; z=i; } } double res = ((a*b*c*0.65-1)*2.0); System.out.printf("%c %c %c %.2f",carr[x],carr[y],carr[z],res); } } } /************************************************************** Problem: 1323 User: coder Language: Java Result: Accepted Time:580 ms Memory:18080 kb ****************************************************************/
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大大加油啊
大大加油啊
大大加油啊
大大加油啊
大大加油啊
大大加油啊
为什么暴力求解方法循环到sqrt(n) 就可以了呢
printf这个函数在计算的时候是从右到左，打印是从左到右。
很不错！
修改一下吧 …
最长回文子串可以使用manacher算法，将时间复杂度降到O(n)。
真心不错，力顶作者
通不过。
5.1处，反了；“上一个操作符的优先级比操作符ch的优先级大，或栈是空的就入栈。”如代码所述，应为“上一个操作符的优先级比操作符ch的优先级小，或栈是空的就入栈。”
不错，值得借鉴
我想整理一下leetcode的题解，站长能不能给权限
对于第一题，我的直觉告诉我换不换都一样，求指教
额楼主能否在发布代码的同时对解题思路做个讲解呢？这样大家在学习的时候就方便多了。
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector


To finish adding this email address to your account, enter the following code when prompted by ${site_title}:
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Buffalo Plains [aq74], plain, in Imperia, peasants: 101
Last updated Turn #148
Buffalo Plains [aq74], plain, in Imperia, peasants: 101
------------------------------------------------------------------------
18: Sorrow [f7m], refugee, with one peasant, arrived from the north.
20: Sorrow [f7m], refugee, with one peasant, went south.
24: Stack of nazgul [cv8y], nazgul, number: 2, arrived from the west.
26: Stack of nazgul [cv8y], nazgul, number: 2, went east.
Routes leaving Buffalo Plains:
North, forest, to Blackroot Wood [ap74], 8 days
East, forest, to Blackroot Wood [aq75], 8 days
South, plain, to Buffalo Plains [ar74], 7 days
West, mountain, to Shadow Hills [aq73], 10 days
Seen here:
Stack of giants [av9j], giants, number: 14
Stack of nazgul [ci1z], nazgul, number: 4
Crowd [js6d], angry peasants, number: 24, on guard
Stack of giant lizards [gb7h], giant lizards, number: 5


Installing Nmag using the VMware PlayerContents
IntroductionVMware is a company that provides a software that emulates a virtual computer. Let's assume for simplicity that we have an existing machine with MS Windows. This is called the host machine. One needs to install the vmware software (see Installing the VMware Player) on this host machine. Once the software is installed, it can be started like any other application. Once this virtual machine software is running, it will simulate a PC environment so that one can have a second (virtual) machine running in that window. The 'virtual' hard drive of that virtual machine is realised through a (few) big files gathered in a particular directory on the hard drive of the (Windows, say,) host machine. It is of course required to provide an operating system for the virtual machine, which could be, for example, Linux. One would then have the normal MS Windows Operating system running on the host machine, and a Linux operating system in the VMware window. (In fact, the window can be blown up to appear as a full-screen, by pressing CTRL+ALT+Return, or clicking of the maximise icon of the window.) The performance penalty of running any software in the virtual machine (rather than on a real machine of similar specification) is usually less than 10%. In other words, a simulation that takes 10 minutes in the virtual machine, is not going to be faster than 9 minutes if run natively. However, 3d graphics may not be hardware accelerated in the virtual machine; and the virtual machine will only see a part of the physical RAM of the host machine (this can be adjusted in the vmware settings when the virtual machine is shut down). The nice thing about having this virtual machine is that one can continue to use one's email, word processing, web browsing and all other applications in one's usual operating system (Windows in our example), and simultaneously have a simulation environment for micromagnetic simulations (which provides all the necessary pre and postprocessing tools, based on the Linux operating system here). In terms of performance, the host machine should have at least 2 GB of RAM (the more the better). The virtual machine is set to use 1.5 GB RAM and 1 processor core. It currently needs about 7GB of disk space on the host machine. Installing the VMware PlayerVMware provides a multitude of different products that allow different degrees of virtualisation. Some of them are free and some have to be paid for. We try to point to exactly the right product here, and to keep things simple although VMWare is frequently changing the names of their products. If your host runs MS Windows or Linux, then you can download the free VMware Player:
If your computer is an IntelMac, there is unfortunately no version of the free VMware Player for your machine. However, if you happen to own VMware's Fusion product (or are happy to pay for it), then install VMware fusion and use this as (a more powerful) VMware player. If you computer is a PowerPC Mac, then you cannot use the Virtual Machine method. At this stage, we have installed the VMware Player. Next, we need to obtain the 'virtual machine' that we want to execute. Downloading and starting the Nmag virtual machine
When you do this the first time, the VMware Player may warn that the machine is already in use. If so, select Take ownership. It may ask you whether this virtual machine has been moved or copied. The right answer is copied. Once you have done this, the virtual machine will boot. When the kernel boot menu appears (the first line starts "GNU GRUB"), do nothing, or press return. Wait until the graphical login turns up. Using the Nmag virtual machineThe Nmag virtual machine is an Ubuntu64Bit 11.10 installation which should provide all the software required to run micromagnetic simulations with Nmag. After booting, a login screen appears. There is only one user registered. The username is nmag and the password is nmag. (The root account has the same password; should you ever need it.) At this point, you have a complete environment to start simulations, and the guided tour in the manual is a good starting point to explore nmag:
If you want to see the examples that are discussed in the manual directly, you can go to /home/nmag/Desktop/nmag-examples-drafts. Each subdirectory in there corresponds to one example. Note that there are sometimes additional files in the directory that are used for automatic creation of plots in the manual, and for automatic testing (you may want to ignore those). Some file may be out of date, but overall this is a useful resource to run some existing scripts quickly. Often, there is a makefile or Makefile in a example directory, which summarises the commands that can be run to create a mesh, convert it, important it, run a simulation etc. First steps
Using VMware playerThe help function of the VMware Player provides a useful summary of how to use it. Note that you can switch to full-screen mode when pressing CTRL+ALT+RETURN, and that you return from full-screen mode by either pressing CTRL+ALT, or moving the mouse to the top of the screen (to get the VMPlayer menu). Frequently Asked Questions
How can I exchange data between the virtual machine and the host?If you want to share data with your host, then
How can I change the keyboard in the Nmag virtual machine?Open a terminal (CTRL+ALT+T), then type setxkbmap followed by the right code for the country. Typcial codes are de for German, gb for Great Britain, dvorak for the Dvorak layout and us for an american keyboard layout. Alternatively, click on the System Settings icon on the left, then keyboard layout and then + to add a new layout. Can I also use other VMware products with the Nmag Virtual machine?Yes, as far as we know. For example, if you have the VMware Work station or VMware Server, then these can run the Nmag virtual machine as well. (It may, in fact, be easier to exchange data between the host and the virtual machine with these more powerful products, as you can add more shared locations.)  This will only work with VMWare. We use VMWare for historical reasons (it has been around for some time), but we are not aware of any problems with other virtual machine tools. If you go this way, we suggest Ubuntu Linux as the client operating system as Nmag installs most easily in this. I know Ubuntu or Debian Linux -- can I modify this system?Of course. Once you become root, you can use aptitude, apt-get and all other tools to configure your debian system. This is, after all, a normal installation (even though it is executed within a virtual machine). How can I learn more about Linux or this distribution?Follow the Ubuntu tutorials. Additional softwareWe have installed additional software on the virtual machine, including
The relevant ubuntu packages are gmsh netgen mayavi2 emacs grace gnuplot python-scipy python-matplotlib python-sympy nano vim |


assertEquals()
methods which
can be replaced with an equivalent call to assertSame()
.
This is possible when the arguments are instances of a final class which does not override
the Object.equals()
method and makes it explicit that object identity is compared.
For example:
@Test
public void testObjectType() {
Object o = getObject();
Assert.assertEquals(String.class, o.getClass());
}
A quick fix is provided to perform the replacement:
@Test
public void testSort() {
Object o = getObject();
Assert.assertSame(String.class, o.getClass());
}


Driven Senior Consultant acting as manager with 5 years of experience in management consulting.
Reliable team member and excellent interpersonal skills field approved in delicate client environments.
A strong sense of initiative coupled with out of the box creativity.
An optimist.
RELEVANT EXPERIENCE
2018 to Present – Senior Consultant CAPCO (Capital Markets
Company)
Business strategy and Sales :
Cofounded a new retail banking entity in the French region.
Acquired 6 new clients, tailor-made 15+ business proposals, 7+ Pitches
and lead 6 successful missions for Tier 1 banks over 2.5 years.
Created an increasing business portfolio of 100k€ in 2018, 250k€ in 2019
(+150%), 500k€ in 2020 (+100%) and 750k€ in 2021 (+50%).
Main client missions :
Managed a 1 year Financial Security remediation plan impacting 4
banks, 3 compliance domains, 14 streams, 40+ deliverables and
avoiding over 5 M€ worth of fine from the French regulator.
Managed the definition and development of a digital automated
processing solution for customer credentials reducing 60% of time
consumption and 80% operational / compliance risks.
Defined and deployed the review strategy of 200k retail banking clients
resulting in the update of 90% of client data and documents.
Designed and implemented a digital steering tool allowing CXOs of a
major bank to have a live overview of their client portfolio and their
compliance status.
2016 to 2018 – Consultant Capgemini Consulting
Relevant client missions :
Created a turnkey approach regarding the upgrade of the first line of
defense of a major bank mitigating bank compliance and operational
risks by 40%.
Internal contributions :
Contributed to corporate life by organizing 10+ team building events
(after works, newcomers welcome...)
EDUCATION
2016 – Masters degree in engineering Arts & Métiers ParisTech
Specialty in Renewable Energies
2012 – Preparatory class for entrance to “Grandes Ecoles” Lycée Raspail Paris
Physics and Technology
OTHER EXPERIENCES
Volunteered for the French Red Cross for 6 months in various activities
such as food bank, clothes sorting or assistance to homeless people.
Managed the Arts & Métiers Students bureau contracts & 150k€/year
Budget and organized student events.
Organized a 3k visitors charitable Reggae Festival "Grand Bastringue"
SKILLS
Hard skills :
Project management
Reporting and presentation skills
Sales
Business strategy definition
Soft skills :
Complex problem resolution
Negotiator
Team player
Crisis management
Creativity
LANGUAGES
French : Native language
English : Fluent Lived in
Chicago for 5 years &
Montreal for 5 years.
SPORTS AND HOBBIES
Rowing: France National
Championships (2007) and
pair oar (2008)
Motorcycle: Amateur Racing
(Road and Race tracks) and
adventure riding


Creamed tuna paste over toast with salad at 18 Grams. This warm toasted dish is a mix of homemade tuna paste and salad dressing that derives a distinctive flavour
[18 Grams]
Address: Shop 5, G/F, Phase 2, Tsui Yuen mansion, 2-20 Kwong Wa Street, Mongkok, Kowloon, Hong Kong
You can find my previous posts here below:
HotFoodHK #1 Mushroom angel hair with black truffle sauce:
https://steemit.com/chainbb-general/@htliao/hotfoodhk-1-mushroom-angel-hair-with-black-truffle-sauce
HotFoodHK #2 Roasted pork fillet ramen in vegetable soup:
https://steemit.com/food/@htliao/hotfoodhk-2-roasted-pork-fillet-ramen-in-vegetable-soup-201769t63155790z
HotFoodHK #3 Bibimbap:
https://steemit.com/food/@htliao/hotfoodhk-3-bibimbap-2017610t75954717z
Please follow me if you want to know more about where to look for the delicious food in Hong Kong
This page is synchronized from the post: ‘HotFoodHK#4 Creamed tuna paste over toast with salad’


| summarise {dplyr} | R Documentation |
summarise()
creates a new data frame. It will have one (or more) rows for
each combination of grouping variables; if there are no grouping variables,
the output will have a single row summarising all observations in the input.
It will contain one column for each grouping variable and one column
for each of the summary statistics that you have specified.
summarise()
and summarize()
are synonyms.
summarise(.data, ..., .groups = NULL) summarize(.data, ..., .groups = NULL)
.data |
A data frame, data frame extension (e.g. a tibble), or a lazy data frame (e.g. from dbplyr or dtplyr). See Methods, below, for more details. |
... |
< The value can be:
|
.groups |
Grouping structure of the result.
When
In addition, a message informs you of that choice, unless the result is ungrouped,
the option "dplyr.summarise.inform" is set to |
An object usually of the same type as .data
.
The rows come from the underlying group_keys()
.
The columns are a combination of the grouping keys and the summary expressions that you provide.
The grouping structure is controlled by the .groups=
argument, the
output may be another grouped_df, a tibble or a rowwise data frame.
Data frame attributes are not preserved, because summarise()
fundamentally creates a new data frame.
Range: min()
, max()
, quantile()
Count: n()
, n_distinct()
The data frame backend supports creating a variable and using it in the
same summary. This means that previously created summary variables can be
further transformed or combined within the summary, as in mutate()
.
However, it also means that summary variables with the same names as previous
variables overwrite them, making those variables unavailable to later summary
variables.
This behaviour may not be supported in other backends. To avoid unexpected results, consider using new names for your summary variables, especially when creating multiple summaries.
This function is a generic, which means that packages can provide implementations (methods) for other classes. See the documentation of individual methods for extra arguments and differences in behaviour.
The following methods are currently available in loaded packages: no methods found.
Other single table verbs:
arrange()
,
filter()
,
mutate()
,
rename()
,
select()
,
slice()
# A summary applied to ungrouped tbl returns a single row mtcars %>% summarise(mean = mean(disp), n = n()) # Usually, you'll want to group first mtcars %>% group_by(cyl) %>% summarise(mean = mean(disp), n = n()) # dplyr 1.0.0 allows to summarise to more than one value: mtcars %>% group_by(cyl) %>% summarise(qs = quantile(disp, c(0.25, 0.75)), prob = c(0.25, 0.75)) # You use a data frame to create multiple columns so you can wrap # this up into a function: my_quantile <- function(x, probs) { tibble(x = quantile(x, probs), probs = probs) } mtcars %>% group_by(cyl) %>% summarise(my_quantile(disp, c(0.25, 0.75))) # Each summary call removes one grouping level (since that group # is now just a single row) mtcars %>% group_by(cyl, vs) %>% summarise(cyl_n = n()) %>% group_vars() # BEWARE: reusing variables may lead to unexpected results mtcars %>% group_by(cyl) %>% summarise(disp = mean(disp), sd = sd(disp)) # Refer to column names stored as strings with the `.data` pronoun: var <- "mass" summarise(starwars, avg = mean(.data[[var]], na.rm = TRUE)) # Learn more in ?dplyr_data_masking


'3BlackChicks Review...'
RAT RACE (2001) Rated PG-13; running time 125 minutes Genre: comedy Seen at: Jack Lokes' Celebration Cinema (Lansing, Michigan) Official site: http://www.ratracemovie.com/ IMDB site: http://us.imdb.com/Details?0250687 Written by: Andy Breckman Directed by: Jerry Zucker Cast: Rowan Atkinson, Kathy Bates, Dean Cain, Lanai Chapman, John Cleese, Whoopi Goldberg, Cuba Gooding, Jr., Seth Green, Wayne Knight, Jon Lovitz, Breckin Meyer , Kathy Najimy, Paul Rodriguez, Amy Smart, Dave Thomas, Vince Vieluf
Review Copyright Rose Cooper, 2001 Review URL: http://www.3blackchicks.com/bamsratrace.html
Though it was a childhood favorite of mine, I'm scared to watch It's A Mad, Mad, Mad, Mad World ever again. Scared because in watching it, I just might realize that it's just as dumb as RAT RACE was.
The Story (WARNING: **spoilers contained below**) The rats in RAT RACE are all too human. In a bizarre play on Willie Wonka and the Chocolate Factory, Vegas casino owner Donald Sinclaire (John Cleese) offers his version of a Golden Ticket to eight "lucky" stiffs, with the promise of a $2mil payoff for the winner of a race from Las Vegas to Silver City, New Mexico. These are the players, in what should have been a madcap comedy:
-Enrico Pollini (Rowan Atkinson), a goofball Italian citizen who has a medical problem that might prevent him from getting anywhere too quickly; -Vera Baker (Whoopi Goldberg) and Merrill Jennings (Lanai Chapman), a mother-daughter team who just met--27 years after Merrill was born; -Owen Templeton (Cuba Gooding, Jr.), a pro football referee who half the men in America are mad at for messing up a coin toss [Yeah, you heard me, a coin toss. Not a vital, mis-called play. Not a blatant foul. A coin toss.
Here's where I'm supposed to say "...and Hilarity Ensued". Uh huh.
The Upshot: Based on the trailers I saw, I admittedly went into RAT RACE with low expectations - and they were met. It wasn't as bad as I thought it would be - the inclusion of Cuba Gooding, Jr. in comedy mode, especially, initially scared me off - but "it could've been a lot worse" just isn't my idea of a sparkling movie recommendation. True, it could have been; but I figure movies cost too daggone much to watch these days, to be satisfied with only having your intelligence insulted "just a little".
The biggest problem with RAT RACE for me was that it just plain wasn't funny; not funny enough, anyway, to mask some huge logic holes (I'd say "plot holes", normally, but there was no real plot. "Character development? We don' need no stinkin' character development!"). Had I laughed harder - or more often - I might not have had time to notice the many implausible scenarios, starting with the biggest two: the Vera Baker/Merrill Jennings (Whoopi Goldberg/Lanai Chapman) relationship, and the completely implausible airport antenna situation upon which the rest of the movie's hijinx [or should I say, "lowjinx"?] was built.
As with its brother in implausibility, Face/Off (which offended me so much, I left the theater before it was over), once my disbelief was suspended so high it developed altitude sickness, there was no saving this flick. Unlike Face/Off, however, RAT RACE had no other qualities that held my interest.
Hmmm...that's not exactly true. In discussing the movie with The Diva, I had to admit that the whole Barbie subplot, especially the hilarious conclusion, was indeed funny; and less funny, but still somewhat amusing before it got tired, was the side betting going on by the big rollers. But being that these were only a small part of the flick, and after being asked to swallow this movie's lame, sellout conclusion, Jon Lovitz's nod to Henry Godwin, and Dave Thomas' deadpan lawyer schtick, only just barely pulled this film out of redlight territory. I would say that director Jerry Zucker ought to stick with Airplane! and Naked Gun, but their time has passed, too.
The "Black Factor" [ObDisclaimer: We Are Not A Monolith] New readers of my reviews are often intimidated by my "Black Factor" commentary. Ignoring those who totally (and usually, blindly) miss the point for a second, there are others who take issue with my questioning, for instance, Black actors acting like buffoons in what is supposed to be a comedy.
And up to a point, I agree: all other characterizations being equally buffoonish, a Black actor in a comedy should not be held to a different standard by being made unnaturally Noble. Indeed, I'd rather see a funny actor of whatever race being allowed to be funny, over them being made the Hero just to avoid the tricky subjects of race, class, and culture (which, really, doesn't avoid them at all. Folks like me are chompin' at the bit to razz a pedantic, paternalistic filmmaker; one who has the nads to admit that, yes, racial situations do exist, earn at least my admiration for their tenacity).
 He does that to himself without much help. The man is brilliant as a serious actor; I've enjoyed him thoroughly, without pause, in films like Boyz N The Hood and Men Of Honor.  Save me the effort of another "This Moment In Black Buffoonery" created just for him.
Bammer's Bottom Line: I suppose I should mention John Cleese, and Kathy Bates, and Rowan Atkinson, in here somewhere. There. They're mentioned.
RAT RACE (rating: yellowlight.gif): Not even a funny invocation of Godwin's Law, could save this drowning mouse.
Rose "Bams" Cooper Webchick and Editor, 3BlackChicks Review Entertainment Reviews With Flava! Copyright Rose Cooper, 2001 EMAIL<EMAIL_ADDRESS>http://www.3blackchicks.com/
========== X-RAMR-ID: 29685 X-Language: en X-RT-ReviewID: 246515 X-RT-TitleID: 1108085 X-RT-SourceID: 447 X-RT-AuthorID: 3672
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Private Banking technical application officerLearn more about Société Générale Luxembourg.
#Java #SpringBoot #MicroServices #Rest #Oracle #DevOps #GitFlow #Scrum
LES VILLAGES BY CA : Implementation of Crédit Agricole's worldwide startups incubators network new website. Learn more about LES VILLAGES BY CA.
#Drupal8 #Javascript #JQuery #Bootstrap4 #MariaDB
AUDIT application : Migrate the audit application (for KBL group and international subsidiaries) to a new web (angular/spring) application Learn more about KBL.
#Angular5 #TypeScript #Spring3 #AngularMaterial # #Oracle11g #Websphere7 #GitFlow
PiRat Application : EIB's central application to manage counterparts(a portfolio of more than 20 thousands clients), financial ratings and data Learn more about EIB.
#JEE #JSF #Seam #Ajax #SYBASE #JBoss #Scrum #SOAP #Ratings
NewBim Project: Accounting Data Management to evaluate cost & profitability of Société Générale Cost CentersLearn more about SG.
#JEE #JSF #RichFaces #Ajax #Oracle #WebLogic #Scrum
Stream Ubix /Stream Instant Control : Real-Time Back-office for Derivatives (Opt/Future) Learn more about Sungard/FIS
#JEE #JMS #Oracle #C #Python #Scrum #Derivatives


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When asking users for their email address, you should:
- make the field long enough
- make it clear why you’re asking
- help users to enter a valid email address
You may also need to check that users have access to the email account they give you.
{% extends "design-system-page-layout-guide.html" %} {% set section_id = "patterns" %} {% set section_name = "Ask users for..." %} {% set page_id = "email-addresses" %} {% set page_title = "Email addresses" %} {% block sectionOneTop %}{% endblock %} {% block sectionLeftHandColumn %} {% include "includes/design-system/design-system-side-nav.html" %} {% endblock %} {% block sectionOneRightContent %}
When asking users for their email address, you should:
You may also need to check that users have access to the email account they give you.

Email address So we can send you a receipt
<input id="email-address" name="email-address" type="email" class="form-control">

A good rule of thumb is 30 characters.
Make it clear what the email address will be used for so that:
Help your users to enter a valid email address by:
type=“email”
attribute so that devices display the correct keyboardYou can also check for common misspellings of popular email providers (for example ‘homtail.com’ instead of ‘hotmail.com’). Warn users if you detect one, but allow them to proceed in case it’s a genuine email address.


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?Mil
6
7
8
9
10
Ç
?
À5
The
New
York
copyright
reserved
botanical
Garden
Gilibertia
cuneifolia
(Wright)
March.
Examined
ior
NORTH
AMERICAN
FLORA
Determined
by
A.
C.
Smith,
193^È
.
PLANTS
OF
CUBA
PROVINCE
OF
SANTA
CLARA
01500594
No.
8095
(litJfu*.
*¥
Small
tree
10
ft.
high.
GaviHa's,
BUENOS
AIRES,
TRINIDAD
HILLS,
2500-3500
FT.
ALT
Collected
for
the
Arnold
Arboretum
by
J.
G.
Jack.
juiy
24,
19
3Q
01500594
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


I love maps, and I love to share information about Vancouver. This site is home to my various Vancouver mapping experiments - take a look below. I have many more in development, so check in every now and then to see what I'm up to! Send your questions or comments to me @rbrtwhite.
Did you know from 1890 to 1958 the BC Electric Railway Co. Ltd. installed and operated interurban and streetcar lines throughout Metro Vancouver and the Fraser Valley? Click the 'Introduction' button above or explore the map to learn more!


execline
Software
skarnet.org
The elgetpositionals program
elgetpositionals substitutes the positional parameters of an execline script.
Interface
elgetpositionals [ -P sharp ] prog...
- elgetpositionals reads the number n of "positional
parameters" in the # environment variable. If that variable
is not set or does not contain a valid n, elgetpositionals
exits 100.
- elgetpositionals performs some
substitutions in parallel on
prog...:
- key: #, value: n
- key: 0, value: the value of the 0 environment
variable
- key: 1, value: the value of the 1 environment
variable
- ... and so on until n (or sharp if it is
greater than n). Those values are never transformed.
- key: @, value: all values of the variables from 1 to
n. This value is split
into n words.
If a variable between 0 and n does not
exist, elgetpositionals exits 100.
Options
- -P sharp : substitute at least
sharp+1 positional parameters, from 0 to
max(n, sharp). If n<sharp,
positional parameters between n+1 and sharp are
replaced with the empty string. Not having the -P switch is
equivalent to having -P 0.
Notes


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Ghost of the Ancient Railroad Engineer:
You can hear me? Truly? At last! It has been so long since anyone has been able to see or hear me. That gal over there - I've been calling to her for ages, and she doesn't even know I exist!
I need your help. Please, please listen to what I ask.
Ask what the problem is