wpaCute is a graphical Qt front end program for interacting with wpa_supplicant. It's used to query current status, change configuration and request interactive user input.
It supports (almost) all of the interactive status and configuration features of the command line client, wpa_cli. Refer to the wpa_cli man page for a comprehensive list of the interactive mode features.
wpaCute is a fork from wpa_gui, shipped with wpa_supplicant version 2.6
Specify the interface that is be configured.
Without -i
choose the first interface found in the socket path
which start not with 'p2p-dev-' otherwise the last found interface is chosen.
Set an independent update interval in seconds for the signal strength meter.
This value must be a positive integer. Without -m
the
signal meter is only updated at each status update.
See also the notes about polling and pinging.
Force not to use QSocketNotifier, use only polling. It's more for testing purposes.
Change the path where control sockets should be found.
Run program in the quiet mode - do not display tray icon pop-up messages.
Start program in the system tray only (if the window manager supports it). By default the main status window is shown.
Unset setting - Disable network after "WRONG_KEY"
This a workaround to a wpa_supplicant quirk where he endless tries to
connect to a wrong configured network. There are cases where it is a good idea,
but I believe it is mostly annoying due to it's implementation. If I'm wrong,
use -W
to have the original behavior. By default will now a
network disabled after a "WRONG_KEY" message.
On systems where QSocketNotifier is not supported is wpa_supplicant only polled to fetch status changes.
One ambitious development goal was to drop the need for Polling & Pinging on systems where QSocketNotifier is supported. But it turned out that this was a road to ruin due to the lack of some 'Status Has Changed Message' from wpa_supplicant. And finally would than still the problem be left that wpa_supplicant could silently die without some sigh. So, we are doomed to poll!
The polling is now not done in a fixed interval but depends on current status and reach from high frequent polling in 1sec, when probably changes are on the way, down to 20sec in some static status where primally is checked if someone is still alive.
With the main window visible is polled in 5sec. Only in case of an fatal error is polling halted, which e.g. occurs when the user not belongs to the configured 'ctrl_interface_group=foo'.
The window morphs its look to show always only what is needed, or can be used, to some selections you made. If you encounter some misbehaviour please report.
Entered secrets will not shown again when you edit a network. Only a hint that there is a password or key saved. I'm not a friend of that because while messing around to get a connect you can't check if you miss typed the password or something different is the problem.
When you add, delete or modify a network are these changes only made in a temporary manner inside the running wpa_supplicant. They take effect as long as the wpa_supplicant is not terminated or triggered to reload its configuration. You have to save the changes explicit. This is different from the original wpa_gui.
Right now is the behaviour, which data are changed (send to wpa_supplicant) not coherend. It depends sometimes if they are visible when you "Apply" or not. Your removed data are not everytime forced to remove by wpa_supplicant. It's a little messi, sorry. Needs love and reports.
Right now will no data explicit removed when they are not visible. The wpa_supplicant documentation describes that you can have a pretty mix of possible settings which are all tested when wpa_supplicant tries to connect to some accesspoint. I'm not sure if this is really a smart decison.
Long story, short sense: Don't expect to have a "clean" configured network block in your config file after you have clicked around to find a working setup.
This program is licensed under the BSD license (the one with advertisement clause removed).
wpaCute - A graphical wpa_supplicant front end
Copyright (C) 2018<EMAIL_ADDRESS>wpa_gui for wpa_supplicant
Copyright (C) 2003-2015 Jouni Malinen<EMAIL_ADDRESS>and contributors.


{% block title %}
FDA Drug Monitor
{% endblock %}
{% block header %}
{% include 'core/header.html' %}
{% endblock header %}
{# main content for each of the pages. fyi, homepage has significantly different layout. #}
{% block main %}
{% endblock main %}


| Home > Documentation > Reference > Samples > Java EE sample applications |
This topic is organized in the following sections:
The recommended practice for Geronimo is to set up a workflow using Geronimo plugins and maven from development through test and production. To demonstrate this, the samples are built into plugins suitable for the Jetty and Tomcat Web containers in Geronimo. Many samples require database access. This is encapsulated into a separate plugin (sample-datasource).
TODO: Demonstrate how to swap databases using plugins; see also the roller plugin
In any case, to install samples as plugins you need to build them first.
For installation you need a Geronimo server with a Web container installed, such as the geronimo-jetty-minimal or geronimo-jetty6-javaee5 servers (or the equivalent Tomcat variations).
If you are using one of the Java EE 6 server assemblies you can use the administrative console to install the plugins. Go to the plugins page, push the Show Plugins button, find the sample(s) you want to install, and click Install. Be sure to select only plugins for the Web container you have installed (e.g. jetty plugins for the Jetty web container). Any necessary dependencies such as the sample-datasource plugin will be installed automatically. There are equivalent command line functions (described next under #gogo commands for Geronimo) if you are using one of the minimal assemblies that does not include the administrative console.
For this you can use any Geronimo server such as one of the minimal assemblies or even the framework assembly. After starting geronimo, run deploy:list-plugins
in the same terminal window and follow the instructions. Installing a sample plugin will install the sample-datasource plugin and all other dependencies. Alternatively if you build using
you can find a server with the sample installed in directories such as
The first time building samples it is required that you build from the top level directory. After the initial build, you can do subsequent builds of specific samples as necessary.
You need svn and maven installed on your system.
Maven v 2.2.1 or later is required for building Geronimo 3.0 samples.
To check out the 3.0M1 samples:
Alternatively, you could choose to work with the active 3.0 trunk of samples. This will allow you to work with the latest changes in samples but will also expose you to a branch that is under active development and so things may be in flux from day to day:
svn co https://svn.apache.org/repos/asf/geronimo/samples/trunk gsamples-trunk
Depending on when you look you may find earlier or released versions of the samples under samples/branches and samples/tags. You can browse in any web browser to see what's there. The trunk for samples always contains samples for the highest level version under development https://svn.apache.org/repos/asf/geronimo/samples/trunk
Build the samples using this command:
If you run into the "Could not scan module for TLD files...Filename too long" problem when using Windows platform, please check out samples to a short directory (14 characters or less).
There are minimal integration tests to assure that the sample plugins can be installed on the framework server. To run this tests use this command:
After building the sample projects you can find suitable geronimo plans for a sample <sample> in
(or the equivalent -tomcat directory). For most samples you will have to install the sample-datasource plugin first. Samples can be deployed from the administrative console "deploy new" on a suitable server or using Karaf Shell deploy:deploy-modules
. Note that in this case you have to start with a server with all the required bits already installed, not the framework server. Since this installation method is not tested automatically it is more likely to be broken than the plugin method.
You can also install the sample datasource as a javaee artifact using the plan we generate when building the plugin, install the sample datasource using the administrative console using the database wizard, and run the sql by hand rather than relying on the geronimo DBInitializationGBean.
Before you install any sample applications, deploy the org.tranql/tranql-connector-derby-embed-xa/1.4/rar
connector located in the geronimo repo at org/tranql/tranql-connector-derby-embed-xa/1.4/tranql-connector-derby-embed-xa-1.4.rar
with the plan at sample-datasource/target/resources/META-INF/plan.xml
using the admin console "deploy new" or Karaf Shell. This will have exactly the same effect as installing the sample-datasource plugin.
Create a new datasource using the admin console database wizard, selecting the derby-embed-xa type and naming the database "SampleDatabase" and the datasource "SampleTxDatasource". The admin console will come up with a module Id different from what the samples need, so you have to map them in var/config/artifact_aliases.properties. Insert a line like this:
replacing 3.0M1 with the appropriate sample version and adjusting the right hand side as necessary. Be sure Geronimo is stopped when you edit artifact_aliases.properties.
Samples that need database connectivity have the database initialized by default by using a DBInitializationGBean to run an sql script. Alternatively here we describe how to initialize the database by hand. In a production scenario most likely your db will be set up by a DBA rather than either of these methods.
Geronimo Samples 3.0M1 release did not generate the maven site for javadoc and source xref view. Cause Geronimo site scheme for 3.0M1 has some problem.
To navigate to javadoc and source code (xref) for each sample do the following:
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{% load staticfiles %} {% include 'head.html' %}
{% include 'nav.html' %}At the time of uploading Form 16 -
1. The person authorize the website easyreturns.tax to
a. File his/her the income tax return for the concerned assessment year
b. Register the details of the user on TRACES website (which verifies the correctness of the TDS Certificate)
c. Call him/her in case some queries arise in the process of filing Income Tax Returns
2. Easyreturns.tax will not be responsible for any mistake in the return as a result of wrong information entered by the user.


getCRUCLdata
Reference
Articles
News
Change log
All releases
getCRUCLdata 0.1.4
Minor Changes
Correct fix bug in data frame object generation where elevation was improperly handled and function would stop
getCRUCLdata 0.1.3
Minor Changes
Correct fix bug in raster object generation where the objects were incorrectly cropped
Update documentation with ROxygen 6.0.0
Minor edits to documentation for clarity
getCRUCLdata 0.1.2
Minor Changes
Correct documentation to read that the data resolution is 10 minute, not 10 seconds
Correct URLs in DESCRIPTION file
Add required version for PURRR
Add required version for R
Corrected URL pointing to CRU readme.txt file
getCRUCLdata 0.1.1
Minor Changes
Renamed to getCRUdata as suggested by CRAN maintainers
Revised description file as requested by CRAN maintainers
Enhanced vignette
getCRUCL2.0 0.1.0
Minor Changes
Initial submission to CRAN
Contents
0.1.4
0.1.3
0.1.2
0.1.1
0.1.0


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{% if option == 0 %}
Mess Option is now open. Head to Mess Option Section.
{% elif option == 1 %}
You have chosen {{mess.mess}} for {{mess.monthYear|date:'M Y'}}
{% else %}
Mess Option is closed
{% endif %}
{% if student.hostelps.room %}
Your current SWD Balance is Rs. {{ balance|floatformat:2 }}
{% endif %}
{% for leave in leaves|slice:":1" %}
{% if leave.approved == 1%}
Your Leave from {{leave.dateTimeStart}} to {{leave.dateTimeEnd}} is Approved {% elif leave.disapproved == 1 %}
Your Leave from {{leave.dateTimeStart}} to {{leave.dateTimeEnd}} is Not Approved {% else %}
Your Leave from {{leave.dateTimeStart}} to {{leave.dateTimeEnd}} is under review {% endif %}
{% endfor %}
{% for bonafide in bonafides|slice:":1" %}
{% if bonafide.status == "Approved" %}
Your Bonafide certificate for {{bonafide.reason}} is printed. Please Collect from SWD Office {% elif bonafide.status == "Pending" %}
Your Bonafide certificate for {{bonafide.reason}} is under process. {% else %}
Your Bonafide certificate for {{bonafide.reason}} is rejected. {% endif %}
{% endfor %}
{% for daypass in daypasss|slice:":1" %}
{% if daypass.approved == 1%}
Your Day Pass application for {{daypass.dateTime}} is Approved {% elif daypass.disapproved == 1 %}
Your Day Pass Application for {{daypass.dateTime}} is Rejected {% else %}
Your Day Pass Application for {{daypass.dateTime}} is Under Review {% endif %}


Why? Because without CSS, HTML would be ugly. And i don't like it to be ugly.
Because... you know... it makes stuff move. And pretty. And interactive.
Painting Miniatures for Boardgames, playing Boardgames, dancing Lindy Hop and watching series. So nothing Web-Based. Sorry.


This File Contains Risk List.
Risk#1
The Merchant Bank Web Service could go down, or could be under load, and may not
respond within the TimeOut then TimeOut Exception may occur.
Mitigation Plan#
I will let the Web Service Client to check the Web Service Status for a retry count of 3 times,
if they fall under 3 seconds SLA, this way We can reduce the timeout use cases.
In case the Merchant Bank's Web Service does not respond even after 3 seconds, Will show an Information
message to the Customer saying
"Contact Customer Service Phone Number" or "Retry the Payment at a later time, as there is an error in Payment Processing"
Risk#2
Security is of Paramount importance to the WPC Application, As the Credit Card Processing is done at WPC.
There could be a chance of PCI Compliance issues, So I will make sure that all PCI compliance issues are
prevented before hand. Also will take care of the all Open Web Application Security Project Vulnerabilities
like
SQL Injection - By Validating, and Sanitizing the User Input, and Response Output. So that they do not contain
any invalid characters, that lets an attacker take control of the Web Site.
Encryption - The Transportation is Secured between Client, and Server using SSL/HTTPS, so that any attacker like
Eavesdropper,ManIntheMiddle attacks are mitigated.
Risk#3
WPC Web Site could get too much Load and the System may not be able to address the SLA.
We mitigate this chance by adding Load Balancer at the Web Server.
Creating Load Balancers at Application Server Layer, and Creating Clustering of the Application Servers.
WPC Web Site Could be a target Denial of Service(DOS) attacks.
I prevent this by using Switches for Traffic, and White listing of the IP Addresses.
Risk#4
Non Functional Requirements List
-
SLA of 3 seconds.
Scalability of Thousand % for the first year.
Availability of 99.99% during Core Working hours.
Security (128- bit encryption)


Virtual Tour
There's so much to see and do - we don't know where to start! There's over 21,000 of the world's most exotic and endangered animals to discover in 125 acres of award-winning gardens.
Start exploring today to find out more about our wonderful wildlife and immersive habitats. And we're not just an amazing day out. You'll see that as a wildlife charity, conservation is at the heart of everything we do, here in the zoo and around the world
Butterfly Journey
Wander through a tropical environment and come close to some of the more delicate wildlife at the zoo.
Find out moreFruit Bat Forest
Plunge yourself into darkness and get up close to one of the world's most fascinating animals – bats!
Find out moreSpirit of the Jaguar
Get a taste of one of the most exotic parts of the world, Latin America; where a variety of extraordinary wildlife can be found.
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Elephants of the Asian Forest is purpose built for our breeding herd of Asian elephants and other threatened species of their habitat.
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Explore underwater habitats and discover a watery world home to seahorses, brittle stars, blind fish, pipefish, anemone and clownfish.
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Visit the home of the beautiful Bornean orangutan and immerse yourself in the world of the forest treetops of Indonesia.
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I'm a Front-End/ Fullstack web developer based in Delhi, India.
My passion is building incredible user experiences - optimizing frontend and backend applications to deliver fast, responsive, consistent and performant UX to all users. I've also done brochures, logos, posters, pitch decks, and more.
I am a passionate engineer with an immense interest and love in Javascript development. I thrive in environments that embrace new technologies. I don't hesitate to try out new things if it is made to ease the workflow and make development faster and consistent across all devices.


Description
An individual assignment was assigned, where we had to design the school's yearbook cover for the year of 2016 - 2017. The key theme we had to follow that year was "Vision". Every little detail in this cover design was completely from strach. At first, multiple PSD files were created for the eye, river, buildings, etc. Then merged into the final product to decrease file size and easier movement of modules. My design was created through the use of Adobe Photoshop and was selected after many rounds of voting to be represented and viewed by 1000+ students.
Date: Dec 2016 - Jan 2017


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sell your personal information to third parties.
Log Files
As with most other websites, we collect and use the data contained in log files.
The information in the log files include your IP (internet protocol)
address, your ISP (internet service provider, such as AOL or Shaw Cable), the
browser you used to visit our site (such as Internet Explorer or Firefox), the
time you visited our site and which pages you visited throughout our site.
Cookies and Web Beacons
We do use cookies to store information, such as your personal preferences when
you visit our site. This could include only showing you a popup once in
your visit, or the ability to login to some of our features, such as forums.
We also use third party advertisements on
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may use technology such as cookies and web beacons when they advertise on our
site, which will also send these advertisers (such as Google through the Google
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you used to visit our site, and in some cases, whether you have Flash installed.
This is generally used for geotargeting purposes (showing New York real estate
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Members
-
<private, static> AxisOptionsDefault
-
Default graph parameters
Properties:
Name Type Description display
Boolean Whether to display or not the axis
flipped
Boolean The top padding
axisDataSpacing.min
Numner The spacing of the at the bottom of the axis. The value is multiplied by the (max - min) values given by the series (0.1 means 10% of the serie width / height).
axisDataSpacing.max
Number The spacing of the at the top of the axis. The value is multiplied by the (max - min) values given by the series (0.1 means 10% of the serie width / height).
unitModification
String Used to change the units of the axis in a defined way. Currently, "time" and "time:min.sec" are supported. They will display the value in days, hours, minutes and seconds and the data should be expressed in seconds.
primaryGrid
Boolean Whether or not to display the primary grid (on the main ticks)
secondaryGrid
Boolean Whether or not to display the secondary grid (on the secondary ticks)
tickPosition
Number Sets the position of the ticks with regards to the axis ( 1 = inside, 2 = centered, 3 = outside ).
nbTicksPrimary
Number The number of primary ticks to use (approximately)
nbTicksSecondary
Number The number of secondary ticks to use (approximately)
ticklabelratio
Number Scaling factor on the labels under each primary ticks
exponentialFactor
Number Scales the labels under each primary ticks by 10^(exponentialFactor)
exponentialLabelFactor
Number Scales the axis label by 10^(exponentialFactor)
ticklabelratio
Number Scaling factor on the labels under each primary ticks
logScale
Boolean Display the axis in log scale (base 10)
forcedMin
Number | Boolean Use a number to force the minimum value of the axis (becomes independant of its series)
forcedMax
Number | Boolean Use a number to force the maximum value of the axis (becomes independant of its series)
-
<private, static> GraphOptionsDefault
-
Default graph parameters
Properties:
Name Type Description title
String Title of the graph
paddingTop
Number The top padding
paddingLeft
Number The left padding
paddingRight
Number The right padding
paddingBottom
Number The bottom padding
padding
Number | Boolean A common padding value for top, bottom, left and right
fontSize
Number The basic text size of the graphs
paddingLeft
Number The basic font family. Should be installed on the computer of the user
plugins
Object.<String, Object> A list of plugins to import with their options
pluginAction
Object.<String, Object> The default key combination to access those actions
wheel
Object Define the mouse wheel action
dblclick
Object Define the double click action
uniqueShapeSelection
Boolean true to allow only one shape to be selected at the time
-
<private, static> SerieLineDefaultOptions
-
Properties:
Name Type Description title
String Title of the graph
paddingTop
Number The top padding
paddingLeft
Number The left padding
-
<private, static> SerieScatterDefaultOptions
-
Methods
-
AxisCallbackFunction(axis, type, params)
-
Function that is called from Graph#_applyToAxes
Parameters:
Name Type Description axis
GraphAxis The axis of the function
type
String The type of the axis (left,right,top,bottom)
params
The params passed in the _applyToAxis function.
- See:
-
SlaveAxisScalingFunction(val)
-
Used to scale the master axis into the slave axis
Parameters:
Name Type Description val
Number The master value to convert into a slave value
Returns:
undefined


| Path: | vendor/plugins/spatial_adapter/README |
| Last Update: | Tue Mar 17 02:54:08 +0600 2009 |
This is the Spatial Adapter for Rails 0.1.1. It is a plugin for Rails which manages the MySql Spatial and PostGIS geometric columns in a transparent way (that is like the other base data type columns). It also provides a way to manage these columns in migrations. It replaces both the "PostGIS Adapter for Rails" and "MySql Spatial Adapter for Rails" plugins.
You need to install a version >= 0.1.1 of the GeoRuby gem (rubyforge.org/projects/georuby/) :
gem install georuby
At the root of your Rails project, type :
script\plugin install svn://rubyforge.org/var/svn/georuby/SpatialAdapter/trunk/spatial_adapter
You need to have SVN installed.
Geometric columns in your ActiveRecord models now appear just like any other column of other basic data types. They can also be dumped in ruby schema mode and loaded in migrations the same way as columns of basic types.
Here is an example of code for the creation of a table with a geometric column in PostGIS, along with the addition of a spatial index on the column :
ActiveRecord::Schema.define do create_table "table_points", :force => true do |t| t.column "data", :string t.column "geom", :point, :null=>false, :srid => 123, :with_z => true end add_index "table_points", "geom", :spatial=>true end
Here is a related statement valid for MySql version <= 5.0.16 :
ActiveRecord::Schema.define do create_table "table_points", ;options=>"ENGINE=MyISAM", :force => true do |t| t.column "data", :string t.column "geom", :point, :null=>false end add_index "table_points", "geom", :spatial=>true end
The differences with the PostGIS version are because of the following reasons :
Here is the model you would use, in both MySql and PostGIS:
class TablePoint < ActiveRecord::Base end
That was easy! As you see, there is no need to declare a column as geometric. The plugin will get this information by itself.
Here is an example of PostGIS row creation and access, using the model and the table defined above :
pt = TablePoint.new(:data => "Hello!",:geom => Point.from_x_y_z(-1.6,2.8,-3.4,123)) pt.save pt = TablePoint.find_first puts pt.geom.x #access the geom column like any other
For MySQL, it is slightly different since it does not support Z dimension or SRID :
pt = TablePoint.new(:data => "Hello!",:geom => Point.from_x_y(-1.6,2.8)) pt.save pt = TablePoint.find_first puts pt.geom.x #access the geom column like any other
If you use fixtures for your unit tests, at some point, you will want to input a geometry. You could transform your geometries to a form suitable for YAML yourself everytime but the spatial adapter provides a method to do it for you: to_yaml. It works for both MySQL and PostGIS (although the string returned is different for each database). You would use it like this, if the geometric column is a point:
fixture: id: 1 data: HELLO geom: <%= Point.from_x_y(123.5,321.9).to_yaml %>
find_by_[column] has been redefined when column is of a geometric type. Instead of using the Rails default ’=’ operator, for which I can‘t see a definition for MySql spatial datatypes and which performs a bounding box equality test in PostGIS, it uses a bounding box intersection: && in PostGIS and MBRIntersects in MySQL, which can both make use of a spatial index if one is present to speed up the queries. You could use this query, for example, if you need to display data from the database: You would want only the geometries which are in the screen rectangle and you could use a bounding box query for that. Since this is a common case, it is the default. You have 2 ways to use the find_by_[geom_column]: Either by passing a geometric object directly, or passing an array with the 2 opposite corners of a bounding box (with 2 or 3 coordinates depending of the dimension of the data).
Park.find_by_geom(LineString.from_coordinates([[1.4,5.6],[2.7,8.9],[1.6,5.6]]))
or
Park.find_by_geom([[3,5.6],[19.98,5.9]])
In PostGIS, since you can only use operations with geometries with the same SRID, you can add a third element representing the SRID of the bounding box to the array. It is by default set to -1:
Park.find_by_geom([[3,5.6],[19.98,5.9],123])
Ruby geometric datatypes are currently made available only through the GeoRuby library (thepochisuperstarmegashow.com/ProjectsDoc/georuby-doc/index.html): This is where the Point.from_x_y in the example above comes from. It is a goal of a future release of the Spatial Adapter to support additional geometric datatype libraries, such as Ruby/GEOS, as long as they can support reading and writing of EWKB.
place = Place.find_first place.the_geom.y=123456.7
place = Place.find_first the_geom = place.the_geom the_geom.y=123456.7 place.the_geom = the_geom
The Spatial Adapter for Rails is released under the MIT license.
Any questions, enhancement proposals, bug notifications or corrections can be sent to guilhem.vellut+georuby@gmail.com.


Full stack web developer with a passion for creating elegant solutions in minimum amount of time.
Avid learner and passionate about automating things, software architectures, and developing large scale applications.
Current focus: specializing Angular and Java language and frameworks
To be able to utilize the skills and work along with development, improvement of the necessary skills in order to become the competent software engineer.


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Jasica Wingelton
Hi Jasica
Welcome Home!


Beauty is underrated. This website will only point you towards further sources. I post mainly on Twitter.
What can you expect?
Good articles, good books, what I'm doing currently.
Revival of beauty
Beauty is underrated. This website will only point you towards further sources. I post mainly on Twitter.
Good articles, good books, what I'm doing currently.


"APE "an animal of the monkey tribe (1 Kings 10:22; 2 Chronicles 9:21). It was brought from India by the fleets of Solomon and Hiram, and was called by the Hebrews koph, and by the Greeks kepos, both words being just the Indian Tamil name of the monkey, kapi, i.e., swift, nimble, active. No species of ape has ever been found in Palestine or the adjacent regions.
"APE "an animal of the monkey tribe (1 Kings 10:22; 2 Chronicles 9:21). It was brought from India by the fleets of Solomon and Hiram, and was called by the Hebrews koph, and by the Greeks kepos, both words being just the Indian Tamil name of the monkey, kapi, i.e., swift, nimble, active.
No species of ape has ever been found in Palestine or the adjacent regions.


IFE 2016 Gallery
- Stage One - Task One
- Stage One - Task Two
- Stage One - Task Three
- Stage One - Task Four
- Stage One - Task Six
- Stage One - Task Seven
- Stage Two - Task 13
- Stage Two - Task 14
- Stage Two - Task 15
- Stage Two - Task 16
- Stage Two - Task 18
- Stage Two - Task 19
- Stage Two - Task 26
- Stage Two - Task 27
- Stage Two - Task 28


§202-5 Organizational relationships. The workforce development council is placed within the department of labor and industrial relations for administrative purposes and shall act in an advisory capacity to the governor. [L 1965, c 270, §6; Supp, §98W-6; HRS §202-5; am L 1970, c 170, §3; am L 1980, c 302, pt of §2; am L 1985, c 252, §6; am L 1997, c 346, §6]


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BOOM! BOOM! BOOM! BEAT! BEAT! BEAT! Listen to Nischergurgje!
ONCE on a time in Lapland of the Northern Lights, where the rich Lapp Kings own great herds of reindeer--pack reindeer, mother reindeer, and pretty little fawns--once on a time on a summer's day when the sun was shining hot, a Lapp King with his whole company of Lapps drove a reindeer herd into a green valley to graze.
The men unharnessed the pack reindeer, took off their burdens, and set up tents close to a rock. The women hung cooking pots over the fire, and began to boil reindeer meat.
None of these Lapps knew that their camp was pitched near the place of sacrifice to a Seite.
The Seite belonged to a Lapland Wizard. Whenever he wanted to get magic power and have wicked spirits help him to put evil on someone, he chose a fine white reindeer-buck out of his herd, and decorated it. Every part he decorated--antlers, head, legs, back--with yellow, blue, green, red-brown, white, and black silk.
When the buck was ready it knew just where to go. It led the way to the Seite, and the Wizard followed. There the Wizard killed the buck, ate its flesh, and cast its bones and horns on a huge pile of reindeer bones and antlers near the Seite. In this way he got all the magic power he wanted, to bring revenge on his enemies.
So near this spot the Lapp company camped with their reindeer herd. Now in the Lapp King's tent were two Lapp boys. Night came on though the sun still shone, for it never set night or day at that time of the year. The two Lapp boys, for some strange cause, could not sleep. By and by they heard Voices in the rocks. They knew then, that those rocks were the home of some Ulda Fairy Folk.
The boys peeped out of the tent. They saw a whole herd of Ulda magic reindeer cows grazing. They were white and had no horns.
The boys knew that if they threw a piece of steel over the herd, they could keep a cow for themselves. That would bring good luck and riches! But before they could throw it, the reindeer vanished.


An Overview of the Deployment Process¶
The purpose of pyqtdeploy is to convert a Python application, the
Python interpreter, the Python standard library, Python C extension modules,
third-party Python packages and third-party extension modules to a single,
target-specific executable. Depending on the target the executable may need to
be packaged in some way to be truly deployable. For example, Android
applications need to be signed and packaged as a .apk
file. Any such
packaging is outside the scope of pyqtdeploy.
While pyqtdeploy allows you to create a single executable you are free to keep components external to the executable if required.
pyqtdeploy supports the following target architectures:
android-32
android-64
ios-64
linux-64
macos-64
win-32
win-64.
The full architecture name consists of the platform and the word size separated
by a -
. Note that not all platform/word size combinations are supported.
pyqtdeploy uses the following parts of Qt:
qmake is the Qt build system that supports cross-compilation to multiple targets.
rcc is a utility that converts arbitrary files to C++ data structures that implement an embedded filesystem that can be linked as part of an application.
The QtCore library implements file access APIs that recognise file and directory names that refer to the contents of the embedded filesystem created with rcc. pyqtdeploy implements import hooks that use QtCore so that frozen Python modules can be imported from the embedded filesystem just as if they were being imported from an ordinary filesystem.
Note that pyqtdeploy generated code does not itself use PyQt. pyqtdeploy can be used to deploy non-PyQt applications, including simple command line scripts. However, as every deployed application is linked with the QtCore library, you should make sure that your application’s license is compatible with the license of the version of Qt that you are using.
The steps required to develop a deployable application are as follows:
Develop and test the application as normal using a native Python installation containing the required third-party components.
Create a sysroot specification file, typically called
sysroot.toml
, that identifies the components (and their exact version numbers) that are required. See Building a System Root Directory to learn how to do this. pyqtdeploy-sysroot can be used to verify the specification file, i.e. that all component versions are mutually compatible. At this stage it is not necessary to actually build the sysroot. It is common practice to use the same sysroot for several applications.Create a project file for the application that identifies the application’s source code and all the Python packages and extension modules it uses. See Creating a pyqtdeploy Project to learn how to use pyqtdeploy to do this.
Use pyqtdeploy-sysroot to build the target-specific sysroot from its specification file if it has not already been done.
Freeze the Python modules and generate a qmake
.pro
file in a target-specific build directory. The.pro
file will reference all of the required components in the associated sysroot. Run qmake and then make to create the application executable. See Building the Application to learn how to use pyqtdeploy-build to do this.


| JobId | JobTitle | Company | County | NoOfVacancy | Update | Delete |
|---|---|---|---|---|---|---|
| 111 | API manufacturer | UCB | Clare | 120 | ||
| 112 | Animal Health | Bimeda Ireland | Dublin | 150 | ||
| 113 | Pharma manufacturer | Temmler | Kerry | 60 | ||
| 114 | Infants Nutrional Products | Wyeth | Limerick | 600 | ||
| 115 | Food supplements | Bioshell | Mayo | 40 |


Namespace stellar_dotnetcore_sdk.federation
Classes
ConnectionErrorException
Federation
FederationResponse
Object to hold a response from a federation server. See https://www.stellar.org/developers/learn/concepts/federation.html
FederationServer
FederationServer handles a network connection to a federation server (https://www.stellar.org/developers/learn/concepts/federation.html) instance and exposes an interface for requests to that instance. For resolving a stellar address without knowing which federation server to query use Federation#resolve(String). See Federation docs: https://www.stellar.org/developers/learn/concepts/federation.html
FederationServerInvalidException
Federation server is invalid (malformed URL, not HTTPS, etc.)


2nd Generation Sports Success automates the retrieval of 2nd generation athletes from a team’s media guide PDF that is uploaded to the website. The uploaded PDF can then be run through a script and outputted to an excel file that evaluates the amount of second generation athletes on a team for that year.


Infrastructure Engineer II - Core - Seattle, WA
-------------------------------------------------
Do you ever wonder what happens inside the cloud?
-------------------------------------------------
Based in New York, DigitalOcean is a dynamic, high-growth technology company that serves a robust and passionate community of developers, teams, and businesses around the world. We believe that today's entrepreneurs are changing the world through software. Our mission is to empower these entrepreneurs by bringing modern app development within reach for any developer, anywhere in the world.
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
We want people who are passionate about about solving complex systems, storage, big data, and network problems using automation and software defined solutions.
---------------------------------------------------------------------------------------------------------------------------------------------------------------------
We are looking for a senior engineer to help the Infrastructure team solve complex hardware problems using intelligent software. A perfect candidate is a strong Go software engineer with history in the "world of infrastructure" and configuration management expertise. Reporting to the Manager of Infrastructure Engineering, this engineer will architect the systems, software, and servers that keep our data centers running. You'll build automation and systems management tools that make it easier to scale our rapidly growing business and deliver cloud infrastructure all around the world. You'll also work on improving DigitalOcean's overall platform performance and reliability.
---------------------
What You'll Be Doing:
---------------------
Responsible for configuration management workflow and design
Implementing monitoring systems for 10k+ servers
Writing new tools / microservices to better manage bootstrapping and lifecycle of the 10K+ server global infrastructure
Helping design a workflow for large scale node management
---------------------------
What We'll Expect From You:
---------------------------
Expertise with one or more of the following languages: Go, Ruby, Python
Worked with / Passion for Enterprise Architecture
Experience working with Chef, Ansible, or other config management
Experience with monitoring, alerting, and metrics collection and reporting
Experience with hardware and systems automation a plus
Experience supporting large, global, distributed systems
Experience in writing tools to manage physical servers at scale
Passion for continual incremental improvements on tooling / processes
Love of all things automation, and passion for open source
Outstanding written and verbal communication skills
Engineering team leadership a plus
-----------------------------------------------
Why You'll Like Working for DigitalOcean:
-----------------------------------------------
We have amazing people. We can promise you will work with some of the smartest and most interesting people in the industry. We work hard but we always have fun doing it. We care deeply about each other and take our "no jerks" rule very seriously.
We value development. We are a high-performance organization that is always challenging ourselves to continuously grow. That means we maintain a growth mindset in everything we do and invest deeply in employee development. You'll need to be great to get hired here and we promise you'll get even better.
We care about you. We offer competitive health, dental, and vision benefits for employees and their dependents, a monthly gym reimbursement to support your physical health, and a monthly commute allowance to make your trips to and from work easier.
We invest in your future. We offer competitive compensation and a 401k plan with up to a 4% employer match. We also provide all employees with Kindles and reimbursement for relevant conferences, training, and education.
We want you to love where you work. We have great office spaces located in the heart of SoHo NYC and Cambridge, and offer daily catered lunches to keep your hunger at bay. We're also very remote-friendly—we use Slack to communicate across the company—and all remote employees have the opportunity to take an all-expense-paid trip to our office to get quality in-person time with the team at least once a year. We also allow employees to customize their workstations to meet their needs—whether remote or in office.
We value diversity and inclusivity. We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Department: Infrastructure
Want to learn more about our Infrastructure team? Clickhere ( https://www.digitalocean.com/careers/infrastructure-team?utm_source=jobpostings )!
Want an inside look into life at DO? Clickhere ( https://app.altrulabs.com/digitalocean/feed ) to hear from our employees!


This function isn't used in first-person games. It can only be edited and used in third-person games.
When an action has this field activated it means that the character will have to walk to the object in order to perform an operation. If the character can not reach the object (e.g. because there is a barrier in between) the action will not be performed.
Besides, when the field is active the distance between the character and the object can be edited. The character will try to stay at that distance before performing the action.
If the field is not activated the character will not move and perform the action from its place (if the other conditions are already true).


Copy Results
Click into an editable field, like Score, and press Ctrl+C / Cmd+C to copy all names and scores to your clipboard. You don't need to highlight anything, just have a blinking cursor. The output will be wrapped in triple backticks which can help with formatting when pasting into most messenger / chat programs. You can paste the whole output into discord for example.
Quick Scores
Rows added here correspond to the Quick column in the main table. Press the matching button to add the Amount listed here.


How can we help you?
We are eager to help your business. Please contact us directly via telephone or email, or submit an inquiry using the form below.


A high-resolution copy of the RiboVision logo is located here.
The RiboVision logo is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. It contains an artwork by David R. Maddison


Main Page
Data Structures
Files
Data Structures
Data Structure Index
Data Fields
orion_httpRequest Struct Reference
#include <
http.h
>
Data Fields
_uint8
proto
char *
host
_uint16
port
_uint8
method
char *
path
char *
file_ext
char *
query
nameValue
*
header
_uint8
headerLen
orion_cookie
*
cookie
_uint8
cookieLen
_uint16
option
Detailed Description
orionHttpRequest structure
The documentation for this struct was generated from the following file:
src/
http.h
All
Data Structures
Generated on Tue Jan 25 2011 02:36:01 for OrionSocket by
1.7.1


Congratulations on reaching the final project of the Robotics Nanodegree!
Previously, you worked on the Semantic Segmentation lab where you built a deep learning network that locates a particular human target within an image. For this project, you will utilize what you implemented and learned from that lab and extend it to train a deep learning model that will allow a simulated quadcopter to follow around the person that it detects!
Most of the code below is similar to the lab with some minor modifications. You can start with your existing solution, and modify and improve upon it to train the best possible model for this task.
You can click on any of the following to quickly jump to that part of this notebook:
We have provided you with a starting dataset for this project. Download instructions can be found in the README for this project's repo. Alternatively, you can collect additional data of your own to improve your model. Check out the "Collecting Data" section in the Project Lesson in the Classroom for more details!
import os
import glob
import sys
import tensorflow as tf
from scipy import misc
import numpy as np
from tensorflow.contrib.keras.python import keras
from tensorflow.contrib.keras.python.keras import layers, models
from tensorflow import image
from utils import scoring_utils
from utils.separable_conv2d import SeparableConv2DKeras, BilinearUpSampling2D
from utils import data_iterator
from utils import plotting_tools
from utils import model_tools
In the Classroom, we discussed the different layers that constitute a fully convolutional network (FCN). The following code will introduce you to the functions that you need to build your semantic segmentation model.
The Encoder for your FCN will essentially require separable convolution layers, due to their advantages as explained in the classroom. The 1x1 convolution layer in the FCN, however, is a regular convolution. Implementations for both are provided below for your use. Each includes batch normalization with the ReLU activation function applied to the layers.
def separable_conv2d_batchnorm(input_layer, filters, strides=1):
output_layer = SeparableConv2DKeras(filters=filters,kernel_size=3, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
def conv2d_batchnorm(input_layer, filters, kernel_size=3, strides=1):
output_layer = layers.Conv2D(filters=filters, kernel_size=kernel_size, strides=strides,
padding='same', activation='relu')(input_layer)
output_layer = layers.BatchNormalization()(output_layer)
return output_layer
The following helper function implements the bilinear upsampling layer. Upsampling by a factor of 2 is generally recommended, but you can try out different factors as well. Upsampling is used in the decoder block of the FCN.
def bilinear_upsample(input_layer):
output_layer = BilinearUpSampling2D((2,2))(input_layer)
return output_layer
In the following cells, you will build an FCN to train a model to detect and locate the hero target within an image. The steps are:
encoder_block
decoder_block
Create an encoder block that includes a separable convolution layer using the separable_conv2d_batchnorm()
function. The filters
parameter defines the size or depth of the output layer. For example, 32 or 64.
def encoder_block(input_layer, filters, strides):
# TODO Create a separable convolution layer using the separable_conv2d_batchnorm() function.
output_layer = separable_conv2d_batchnorm(input_layer, filters, strides)
return output_layer
The decoder block is comprised of three parts:
def decoder_block(small_ip_layer, large_ip_layer, filters):
# TODO Upsample the small input layer using the bilinear_upsample() function.
upsample = bilinear_upsample(small_ip_layer)
# TODO Concatenate the upsampled and large input layers using layers.concatenate
concatenate_upsample = layers.concatenate([upsample,large_ip_layer])
# TODO Add some number of separable convolution layers
output_layer = separable_conv2d_batchnorm(concatenate_upsample,filters,1)
output_layer = separable_conv2d_batchnorm(output_layer,filters,1)
return output_layer
Now that you have the encoder and decoder blocks ready, go ahead and build your FCN architecture!
There are three steps:
def fcn_model(inputs, num_classes):
# TODO Add Encoder Blocks.
# Remember that with each encoder layer, the depth of your model (the number of filters) increases.
filter = 96
encoder_one = encoder_block(inputs,filter,2)
encoder_two = encoder_block(encoder_one,filter *2, 2)
encoder_three = encoder_block(encoder_two,filter*4,2)
# TODO Add 1x1 Convolution layer using conv2d_batchnorm().
one_to_one_convolution = conv2d_batchnorm(encoder_three,filter*4,kernel_size=1,strides =1)
# TODO: Add the same number of Decoder Blocks as the number of Encoder Blocks
decoder_three = decoder_block(one_to_one_convolution,encoder_two,filter *4)
decoder_two = decoder_block(decoder_three,encoder_one,filter *2)
decoder_one = decoder_block(decoder_two,inputs,filter)
# The function returns the output layer of your model. "x" is the final layer obtained from the last decoder_block()
return layers.Conv2D(num_classes, 3, activation='softmax', padding='same')(decoder_one)
The following cells will use the FCN you created and define an ouput layer based on the size of the processed image and the number of classes recognized. You will define the hyperparameters to compile and train your model.
Please Note: For this project, the helper code in data_iterator.py
will resize the copter images to 160x160x3 to speed up training.
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
image_hw = 160
image_shape = (image_hw, image_hw, 3)
inputs = layers.Input(image_shape)
num_classes = 3
# Call fcn_model()
output_layer = fcn_model(inputs, num_classes)
Define and tune your hyperparameters.
learning_rate = 0.002
batch_size = 20
num_epochs = 50
steps_per_epoch = 200
validation_steps = 50
workers = 20
print(os.path.join('..', 'data', 'train'))
print("0")
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
# Define the Keras model and compile it for training
model = models.Model(inputs=inputs, outputs=output_layer)
model.compile(optimizer=keras.optimizers.Adam(learning_rate), loss='categorical_crossentropy')
# Data iterators for loading the training and validation data
train_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'train'),
image_shape=image_shape,
shift_aug=True)
val_iter = data_iterator.BatchIteratorSimple(batch_size=batch_size,
data_folder=os.path.join('..', 'data', 'validation'),
image_shape=image_shape)
logger_cb = plotting_tools.LoggerPlotter()
callbacks = [logger_cb]
model.fit_generator(train_iter,
steps_per_epoch = steps_per_epoch, # the number of batches per epoch,
epochs = num_epochs, # the number of epochs to train for,
validation_data = val_iter, # validation iterator
validation_steps = validation_steps, # the number of batches to validate on
callbacks=callbacks,
workers = workers)
# Save your trained model weights
weight_file_name = 'model_weights005'
model_tools.save_network(model, weight_file_name)
print("Model_Weights Saved")
Now that you have your model trained and saved, you can make predictions on your validation dataset. These predictions can be compared to the mask images, which are the ground truth labels, to evaluate how well your model is doing under different conditions.
There are three different predictions available from the helper code provided:
# If you need to load a model which you previously trained you can uncomment the codeline that calls the function below.
weight_file_name = 'model_weights005'
restored_model = model_tools.load_network(weight_file_name)
The following cell will write predictions to files and return paths to the appropriate directories.
The run_num
parameter is used to define or group all the data for a particular model run. You can change it for different runs. For example, 'run_1', 'run_2' etc.
run_num = 'run_1'
val_with_targ, pred_with_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_with_targ', 'sample_evaluation_data')
val_no_targ, pred_no_targ = model_tools.write_predictions_grade_set(model,
run_num,'patrol_non_targ', 'sample_evaluation_data')
val_following, pred_following = model_tools.write_predictions_grade_set(model,
run_num,'following_images', 'sample_evaluation_data')
Now lets look at your predictions, and compare them to the ground truth labels and original images. Run each of the following cells to visualize some sample images from the predictions in the validation set.
# images while following the target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','following_images', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol without target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_non_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
# images while at patrol with target
im_files = plotting_tools.get_im_file_sample('sample_evaluation_data','patrol_with_targ', run_num)
for i in range(3):
im_tuple = plotting_tools.load_images(im_files[i])
plotting_tools.show_images(im_tuple)
Evaluate your model! The following cells include several different scores to help you evaluate your model under the different conditions discussed during the Prediction step.
# Scores for while the quad is following behind the target.
true_pos1, false_pos1, false_neg1, iou1 = scoring_utils.score_run_iou(val_following, pred_following)
# Scores for images while the quad is on patrol and the target is not visable
true_pos2, false_pos2, false_neg2, iou2 = scoring_utils.score_run_iou(val_no_targ, pred_no_targ)
# This score measures how well the neural network can detect the target from far away
true_pos3, false_pos3, false_neg3, iou3 = scoring_utils.score_run_iou(val_with_targ, pred_with_targ)
# Sum all the true positives, etc from the three datasets to get a weight for the score
true_pos = true_pos1 + true_pos2 + true_pos3
false_pos = false_pos1 + false_pos2 + false_pos3
false_neg = false_neg1 + false_neg2 + false_neg3
print(true_pos)
print(false_pos)
print(false_neg)
weight = true_pos/(true_pos+false_neg+false_pos)
print(weight)
# The IoU for the dataset that never includes the hero is excluded from grading
final_IoU = (iou1 + iou3)/2
print(iou1)
print(iou3)
print(final_IoU)
# And the final grade score is
final_score = final_IoU * weight
print(weight)
print(final_score)


{% load i18n %} Hello.
{{ comment }}
I found this campus space through SpaceScout.
{{ spot_name }},Get details about this space by using this URL: {{ share_url }}
Download the SpaceScout app from iTunes: https://itunes.apple.com/us/app/spacescout/id551472160


Dism.exe, or the Deployment Image Servicing and Management tool, is a command-line tool built into Windows. It's designed for manipulating WIM package data, and allows Slips7ream to do everything it does.
Information about DISM is available from MSDN .
By default, Slips7ream does not actually use this copy of Dism.exe unless no copy exists in your System32 folder. DISM should be included in all compatible Operating Systems already.
Slips7ream 3.2 includes Dism.exe v6.1.7600.16385, but uses whichever version is already installed if it's not older.


19 July 1996
Disease Outbreak Reported
An outbreak of diphtheria has occurred in Laos and neighbouring regions of Thailand. A total of 72 cases, including 4 deaths have been reported from Sayabouri province in Laos. Twenty cases have so far been reported from Thailand and the epidemic seem to be spreading. WHO has assisted the countries in outbreak investigations, provision of antitoxin for treatment of cases and with planning of mass campaigns to contain the epidemic in both countries. (Information received from WHO Global Programme on Vaccines and Immunizations, GPV)


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object | +--waba.io.Stream | +--waba.io.Catalog
Catalog is a collection of records commonly referred to as a database on small devices.
Here is an example showing data being read from records in a catalog:
Catalog c = new Catalog("MyCatalog", Catalog.READ_ONLY); if (!c.isOpen()) return; int count = c.getRecordCount(); byte b[] = new byte[10]; for (int i = 0; i < count; i++) { c.setRecord(i); c.readBytes(b, 0, 10); ... } c.close();
| Field Summary | |
static java.util.Hashtable |
_dbHash
|
static int |
CREATE
Create open mode. |
static int |
READ_ONLY
Read-only open mode. |
static int |
READ_WRITE
Read-write open mode. |
static int |
WRITE_ONLY
Write-only open mode. |
| Constructor Summary | |
Catalog(String name,
int mode)
Opens a catalog with the given name and mode. |
| Method Summary | |
int |
addRecord(int size)
Adds a record to the end of the catalog. |
boolean |
close()
Closes the catalog. |
boolean |
delete()
Deletes the catalog. |
boolean |
deleteRecord()
Deletes the current record and sets the current record position to -1. |
int |
getRecordCount()
Returns the number of records in the catalog or -1 if the catalog is not open. |
int |
getRecordSize()
Returns the size of the current record in bytes or -1 if there is no current record. |
boolean |
isOpen()
Returns true if the catalog is open and false otherwise. |
static String[] |
listCatalogs()
Returns the complete list of existing catalogs. |
int |
readBytes(byte[] buf,
int start,
int count)
Reads bytes from the current record into a byte array. |
boolean |
resizeRecord(int size)
Resizes a record. |
boolean |
setRecordPos(int pos)
Sets the current record position and locks the given record. |
int |
skipBytes(int count)
Advances the cursor in the current record a number of bytes. |
int |
writeBytes(byte[] buf,
int start,
int count)
Writes to the current record. |
| Methods inherited from class java.lang.Object |
equals, hashCode, toString |
| Field Detail |
public static final int READ_ONLY
public static final int WRITE_ONLY
public static final int READ_WRITE
public static final int CREATE
public static java.util.Hashtable _dbHash
| Constructor Detail |
public Catalog(String name, int mode)
For PalmOS: A PalmOS creator id and type can be specified by appending a 4 character creator id and 4 character type to the name seperated by periods. For example:
Catalog c = new Catalog("MyCatalog.CRTR.TYPE", Catalog.CREATE);Will create a PalmOS database with the name "MyCatalog", creator id of "CRTR" and type of "TYPE".
If no creator id and type is specified, the creator id will default to the creator id of current waba program and the type will default to "DATA".
Under PalmOS, the name of the catalog must be 31 characters or less, not including the creator id and type. Windows CE supports a 32 character catalog name but to maintain compatibility with PalmOS, you should use 31 characters maximum for the name of the catalog.
name
- catalog namemode
- one of READ_ONLY, WRITE_ONLY, READ_WRITE or CREATE| Method Detail |
public int addRecord(int size)
size
- the size in bytes of the record to addpublic boolean resizeRecord(int size)
size
- the new size of the recordpublic boolean close()
close
in class Stream
public boolean delete()
public static String[] listCatalogs()
public boolean deleteRecord()
public int getRecordCount()
public int getRecordSize()
public boolean isOpen()
public boolean setRecordPos(int pos)
public int readBytes(byte[] buf, int start, int count)
readBytes
in class Stream
buf
- the byte array to read data intostart
- the start position in the arraycount
- the number of bytes to readpublic int skipBytes(int count)
count
- the number of bytes to skippublic int writeBytes(byte[] buf, int start, int count)
writeBytes
in class Stream
buf
- the byte array to write data fromstart
- the start position in the byte arraycount
- the number of bytes to write
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: INNER | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


This sample shows how to bind your Pictures library to the ListView control using the StorageDataSource adapter. Click 'Display pictures' to view the Pictures library in a ListView control.


Facts About the Sun:
The sun is a star.
The temperature at the sun's core is 15 million degrees Celsius.
There would be no life on Earth without the sun's energy.


ORGANIZATION
HOME
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GALLERY
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ABOUT
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Point Data Documentation
Table of Contents
Point Data Services
1
Map and Time Series Displays
2
Data Subsetting and Conversion
3
For Repository Administrators
3.0
Managing point data in RAMADDA
3.1
NLAS Harvesters
4
Miscellaneous
4.0
Point Data Command Line Tools
4.1
Data Model
4.2
Text Point Data
4.3
Developing point data readers for RAMADDA
4.4
Point Data Access API
4.5
Time Series JSON Format
4.6
RAMADDA Record Package
5
Data Formats
5.0
LiDAR Data Formats


Data Science track master student at USC with experience in big data, cloud computing, front-end development and machine learning. Strong knowledge of Python, JavaScript, html/css, familiarity with AWS, Git, Agile Development & Scrum. Currently a full-stack engineer intern at Edmunds, working in ads team. Quick learner, Passionate about exploring new technologies. Interested in software development and related full-time opportunities.
GPA: 3.56/4.00
GPA: 3.70/4.00
GPA: 3.70/4.00
• Working in Ads team, the money team, kanda cool right? This internship aimed to design new ads template for our business partner, make sure every ads on our page works well, ads loading time optimization and explore new ways attracting our customers to click the ads on page, which may apply Machine Learning in the future. After all, a single ads unit could make 1 million dollars per month, we're doing amazing job so far.
• Leader of Edmunds intern project team. Designed a car recognition program based on Tensorflow inception V3 image recognition model. Retrained the model by Edmunds' image data from database, as well as other data source like Google images. Finally, ML model achieves 90% accuracy. Also designed an UI for customers to input their images, built the connection between front-end and back-end, which was deployed in AWS. This program helps making smart recommendation and likely it will be added to Edmunds codebase in the future.
• Participated in the research on core technology of NDIR gas detection system.
• C Programming for controllable multiples magnification and noise reduction processing of the weak signal output by sensors.
• Built the SPI communications between gas sensor and ARM, and output the concentration of gas.
• Analyze customers’ information and finalize target customers, update data on both website and database.
• Organized the G-Startup Worldwide competition of Global Mobile Internet Conference (GMIC) in Beijing.
May 2018 - Aug 2018
Feb 2018 - May 2018
Apart from being a software developer, I'm really into traveling and exploring yummy food around the world!  I love meeting new faces from all over the world, btw this is also the coolest thing about living in LA, cuz LA is such an international city LOL!
Love Japanese food like sushi!  Even though, Chinese food is always the best in my heart :)
Crazy and die-hard fan of Lebron James! Looking forward to watching one Lebron game in Staples, which is something always in my bucket list :) Meanwhile, Love hiking, swimming, badminton, basketball and bodybuilding.
When forced indoors, I spend a large amount of my free time exploring the latest technolgy advancements in algorithm(leetcode), software development, and machine learning.


flight_takeoff
WHERE TO GO
From
trending_flat
To
Departure Date
today
Arrival Date
today
Round trip
One way
1
2
3
Adult
0
1
2
Child
0
1
2
Infant
Search


WSO2 MB brings Event Driven Architecture capabilities to WSO2 Carbon platform. It provides WS-Eventing, JMS and SQS interfaces to client. It uses Apache Qpid as the underling broker which supports AMQP.
Features
Bring CEP to SOA
Bring CEP to SOA by processing XML events and produce results as XML events.
Registry Storage
Ability to define different event streams, queries and out put streams and store them in the registry as a bucket.
Esper and Fusion
Support Esper and fusion back end runtimes.


CHILDRENS BENADRYL ALLERGY- diphenhydramine hydrochloride solution
McNeil Consumer Healthcare Div. McNeil-PPC, Inc
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredient (in each 5 mL = 1 teaspoonful)
Diphenhydramine HCl 12.5 mg
Uses
- temporarily relieves these symptoms due to hay fever or other upper respiratory allergies:
- runny nose
- sneezing
- itchy, watery eyes
- itching of the nose or throat
Warnings
Do not use
- to make a child sleepy
- with any other product containing diphenhydramine, even one used on skin
Ask a doctor before use if the child has
- a breathing problem such as chronic bronchitis
- glaucoma
- a sodium-restricted diet
Ask a doctor or pharmacist before use if the child is taking sedatives or tranquilizers
When using this product
- marked drowsiness may occur
- sedatives and tranquilizers may increase drowsiness
- excitability may occur, especially in children
Keep out of reach of children. In case of overdose, get medical help or contact a Poison Control Center right away. (1-800-222-1222)
Directions
- find right dose on chart below
- mL = milliliter; tsp = teaspoonful
- take every 4 to 6 hours, or as directed by a doctor
- do not take more than 6 doses in 24 hours
| Age (yr) |
Dose (mL or tsp) |
| children under 2 years |
do not use |
| children 2 to 5 years |
do not use unless directed by a doctor |
| children 6 to 11 years |
5 mL (1 tsp) to 10 mL (2 tsp) |
Attention: use only enclosed dosing cup specifically designed for use with this product. Do not use any other dosing device.
Other information
-
each 5 mL (1 tsp) contains: sodium 14 mg
- store between 20-25°C (68-77°F). Protect from light. Store in outer carton until contents used.
- do not use if bottle wrap, or foil inner seal imprinted "SAFETY SEAL®" is broken or missing
- see bottom panel for lot number and expiration date
Inactive ingredients
anhydrous citric acid, D&C red no. 33, FD&C red no. 40, flavors, glycerin, monoammonium glycyrrhizinate, poloxamer 407, purified water, sodium benzoate, sodium chloride, sodium citrate, sucrose
Questions or comments?
call 1-877-717-2824
PRINCIPAL DISPLAY PANEL
NDC 50580-534-08
children's
Benadryl® ®
ALLERGY
Diphenhydramine HCl
12.5 mg/5 mL oral solution
Antihistamine
Relieves
- ✔
- Runny Nose
- ✔
- Sneezing
- ✔
- Itchy, Watery Eyes
- ✔
- Itchy Throat
Cherry
FLAVORED LIQUID
Alcohol Free
THE HISTAMINE
BLOCKER ®
8 fl oz
(236 ml)
McNeil Consumer Healthcare Div. McNeil-PPC, Inc


This is a very long word: Super
califragilistic
expialidocious. We can help the browser display long words with the
wbr
element.


--- layout: default title: Repositories permalink: /repos-total ---
The number of repositories in total, in organizations, and in user accounts.


Mixtures of Gaussian graphical models for model-based clustering with sparse covariance and concentration matrices. See Fop, Murphy, and Scrucca (2018) <doi:10.1007/s11222-018-9838-y>.
| Version: | 1.0 |
| Depends: | R (≥ 3.3) |
| Imports: | foreach, GA (≥ 3.1), mclust (≥ 5.4), memoise, network, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-11-14 |
| Author: | Michael Fop [aut, cre], Luca Scrucca [ctb], Thomas Brendan Murphy [ctb] |
| Maintainer: | Michael Fop <michael.fop at ucd.ie> |
| BugReports: | https://github.com/michaelfop/mixggm/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/michaelfop/mixggm |
| NeedsCompilation: | yes |
| Citation: | mixggm citation info |
| Materials: | NEWS |
| CRAN checks: | mixggm results |
| Reference manual: | mixggm.pdf |
| Package source: | mixggm_1.0.tar.gz |
| Windows binaries: | r-devel: mixggm_1.0.zip, r-release: mixggm_1.0.zip, r-oldrel: mixggm_1.0.zip |
| OS X binaries: | r-release: mixggm_1.0.tgz, r-oldrel: mixggm_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=mixggm to link to this page.


Evasion learning
Background:
Bars:
Dots:
Settings
Length X:
Length Y:
Density max:
Density distribution:
Algorithms in array:
Learning rate:
Passes per algorithm:
Hidden layers:
Activation function:
Sigmoid
ReLU
LReLU
Softplus
Learning mode:
Evolution
Backprop
Memory nodes:
Algorithms
Delay(ms):
Algorithm index:
Limit pass number?:
Learning
Iterations to run:
Status
Idling
Iteration:
Pass:
Score:
Algorithm:


Howie Green Designs
Summer of 1997 / Summer of 1998
250 Boyleston St.
Boston, MA 02116
phone:<PHONE_NUMBER>
fax:<PHONE_NUMBER>
Technical Assistant, Network Administrator,
Web Developer, Designer, Programmer
Center for Excellence in Teaching and Learning
March, 1997 - May, 1999
University at Albany
1400 Washington Ave
Albany, NY 12222
phone:<PHONE_NUMBER>
Skills:
High knowledge of:
Networking, Software development, Multimedia, Graphic Design, and Web Solutions
Operating Systems:
Windows 3.x, 95/98, NT 4.0 (server and workstation)
MS Dos(all versions)
Unix / X-environments (AIX, Solaris, Linux, etc.)
Open VMS
Programming Languages:
C / C++
HTML / JavaScript
Pascal
Cobol
Education:
Bachelor of Science, Computer Science and Mathematics
University at Albany; Expected Graduation in May, 2000
Tutor of Computer Science and Web development to over 20 students and faculty
Member of the Albany Business and Computing Association
Member of the Ultimate Frisbee Team
Accomplishments:
Serviced and Repaired Time Warner's Pathfinder Web Server. http://www.pathfinder.com
Installed Windows NT server 4.0, and implemented the network of 15 workstations and users at the Center for Excellence in Teaching and Learning.
Various other freelance Web Developments and Multimedia Applications.


--- layout: post title: Ark Hotel (15 Story) in Shanghai, China built in 6 days date: 2010-11-11 18:31:00.000000000 -05:00 comments: true categories: - capitalism published: true ---
God bless Capitalism. Even if it is of the 'state directed' variety.


--- layout: post title: Photos of my current work setup date: 2010-11-04 02:26:00.000000000 -07:00 type: post published: true status: publish categories: [] tags: [] meta: {} author: ---
I'm switching to just one monitor to help me stay focused by keeping my laptop closed and only using the 27" Cinema Display. Below are photos of my current work setup. The devices below, from left to right are: 17" MacBook Pro, Nexus One, 27" LED Cinema Display, 1st Gen iPod Touch, iPhone 4, iPad 3G+Wifi.


The generic API topic types describe any application programming interface (API) library and can serve as a basis for deriving more specialized topic types for specific languages or other library environments.
The general-purpose topic types layer can be specialized to provide language-specific or environment-specific topic types for an API reference. You should use the most specific set of topic types that match the language or environment for your library. For example, use the Java API topic type for Java language.
The API reference provides the following set of general purpose topic types for describing the interface provided by programmable libraries:


server
`Prev `__
S
`Next `__
--------------
**server**: n.
A kind of `*daemon* <../D/daemon.html>`__ that performs a service for
the requester and which often runs on a computer other than the one on
which the requestor/client runs. A particularly common term on the
Internet, which is rife with web servers, name servers, domain servers,
‘news servers’, finger servers, and the like.
--------------
+-----------------------------------------------+----------------------------+------------------------+
| `Prev `__ | `Up <../S.html>`__ | `Next `__ |
+-----------------------------------------------+----------------------------+------------------------+
| September that never ended | `Home <../index.html>`__ | SEX |
+-----------------------------------------------+----------------------------+------------------------+