{% extends "layouts/public.html" %} {% block title %} Done-zo - Maintenance {% endblock %} {% block h1 %}
We’re sorry; there is some maintenance going on right now.
This
probably involves turning some knobs over at our host,
Google App Engine.
The maintenance should be finished by 6 p.m. pacific time.
Please check back soon. Thanks for your patience!


Ajax CRUD with Bootstrap modals and Datatables with Server side Validation
Person Data
Add Person
Reload
First Name
Last Name
Gender
Address
Date of Birth
Action
First Name
Last Name
Gender
Address
Date of Birth
Action
×
Person Form
First Name
Last Name
Gender
--Select Gender--
Male
Female
Address
Date of Birth


Material Admin uses by default a vertical form layout. In a vertical form the label is placed above the input field.
When the field is focused, there will be a thicker line drawn beneath it. The label in this example is always visible.
Material Admin uses by default a vertical form layout. In a vertical form the label is placed above the input field.
When the field is focused, there will be a thicker line drawn beneath it. The label in this example is always visible.
The vertical layout can be used in combination with a floating label. With floating labels, when the user engages with the input fields, the labels move to float above the field.
In an inversed form, the focus color will be brighter. This will make it easy to read.
You can use the inline layout to place your controls on the same line. You could use this, for example, in a login form.
You can use the floating labels and the inversed form inside an inline layout.
Of course Material Admin also has a horizontal layout. In this layout, the label is on the left side of the field. The label is right-aligned so that the relationship between the field and the tag is immediately visible.
You can also use the inversed form inside a horizontal layout.


|
Kernel Allocator
1.0
A small kernel allocator written for Operating Systems 2 class
|
| ▼Nos2bn140314d | |
| CAllocatorUtility | Utility class providing all the helper functions for the allocator |
| CBitMapBlock | Struct representing one block of memory that acts as a bitmap indexing other blocks |
| CBlock | |
| CBlockInfo | |
| CBlockList | Helper class used for keeping track of unused blocks |
| CBuddy | Utility class providing interface for the buddy allocator |
| Cbuddy_header_s | Header needed by the buddy allocator |
| Ccache_block_header_s | |
| Ccache_header_s | |
| CCacheBlockList | Class providing the functions for the manipulations of the lists of cache header blocks |
| CCacheHeaderList | Class implementing the list of cache headers |
| CHeader | First block of allocated memory |
| Cheader_s | All the data needed for the allocator. Kept in the first block of allocated memory |
| CSlab | Class providing interface for the slab allocator |
| Cslab_header_s | |
| Cslab_s | Struct representing one slab |
| CSlabList | Class representing the header of one list of slabs |
| Cdata_s | |
| Cobjects_s |


|
Ext.NET
5.3.0
.NET Component Framework for Enterprise Level Apps
|
Public Member Functions | |
| Builder (TProgressBarColumn component) | |
| virtual TBuilder | ProgressCls (string progressCls) |
| virtual TBuilder | ProgressText (string progressText) |
| virtual TBuilder | HideIfEmpty (bool hideIfEmpty) |
| Builder () | |
| Builder (ProgressBarColumn component) | |
| Builder (ProgressBarColumn.Config config) | |
| Public Member Functions inherited from Ext.Net.Column.Builder< TProgressBarColumn, TBuilder > | |
| Builder (TColumn component) | |
| Builder () | |
| Builder (Column component) | |
| Builder (Column.Config config) | |
| virtual TBuilder | Listeners (Action< CellCommandColumnListeners > action) |
| Client-side JavaScript Event Handlers More... | |
| virtual TBuilder | DirectEvents (Action< CellCommandColumnDirectEvents > action) |
| Server-side Ajax Event Handlers More... | |
Static Public Member Functions | |
| static implicit | operator Builder (ProgressBarColumn component) |
| Static Public Member Functions inherited from Ext.Net.Column.Builder< TProgressBarColumn, TBuilder > | |
| static implicit | operator Builder (Column component) |
| TProgressBarColumn | : | ProgressBarColumn | |
| TBuilder | : | Builder | |
| TBuilder | : | TProgressBarColumn | |
| TBuilder | : | TBuilder |
|
inline |
|
inline |
|
inline |
|
inline |
|
inlinevirtual |
|
inlinestatic |
|
inlinevirtual |
|
inlinevirtual |


• Use Fedex or DHL
• Do NOT declare a price above US$ 3,000.00 in the shipping invoice. If necessary, split the material in different boxes and send them in different days so we do not exceed the 3000 limit.
• Do NOT declare a price that is too low – declare a price close to reality even considering these devices are not for sale.
• Choose the option where the sender will pay for all the taxes (DDP), including the ones that will be generated by the Brazilian government when the samples arrive
• Send to Versys the tracking number once the shipment is done
In case the value is really over than US$ 3000,00, it is recommendable to proceed with a temporary importation. This takes more time and it is not too much cheap, but the client avoid that the material is stuck at the Custom’s Office.
For temporary importations, if you need, I can recommend you some company to assist you.


|
The One-Shot Similarity Kernel
Lior Wolf1
Tal Hassner2
Yaniv Taigman1,3
1. The School of Computer Science,
Tel-Aviv University, Israel
2. Computer Science Division
The Open University of Israel
3. face.com,
Tel-Aviv, Israel
Abstract: The One-Shot similarity measure has recently been introduced in the
context of face recognition where it was used to produce state-of-the-art results.
Given two vectors, their One-Shot similarity score reflects the likelihood of each
vector belonging in the same class as the other vector and not in a class defined
by a fixed set of "negative" examples. The potential of this approach has thus far
been largely unexplored. In this paper we analyze the One-Shot score and show that:
(1) when using a version of LDA as the underlying classifier, this score is a Conditionally
Positive Definite kernel and may be used within kernel-methods (e.g., SVM), (2)
it can be efficiently computed, and (3) that it is effective as an underlying mechanism
for image representation. We further demonstrate the effectiveness of the One-Shot
similarity score in a number of applications including multi-class identification
anddescriptor generation.
Reference:
Lior Wolf, Tal Hassner, and Yaniv Taigman,
"The One-Shot Similarity Kernel," IEEE International Conference on Computer
Vision (ICCV), Sept. 2009.
Click here for the PDF
(Note - Extended version!)
Click here for the BibTex
Related publications:
Multiple One-Shots for Utilizing Class Label Information
Descriptor Based Methods in the Wild
MATLAB Code for the LDA based One-Shot Similarity Measure
Below please find MATLAB code for computing the One-Shot Similarity score using
LDA as an underlying classifier. Please report any bugs or problems to
<EMAIL_ADDRESS>Type "help oss_lda_sA_from_xsn" or "help oss_lda_score" for more information on
each of these functions.
A typical usage would look something like this:
>> sA = oss_lda_sA_from_xsn(XSN);
>> Score1 = oss_lda_score(x1,x2,sA);
>> Score2 = oss_lda_score(x2,x1,sA);
>> Score = (Score1 + Score2)./2;
Score is then the symmetric One-Shot Similarity of the two vectors x1 and x2.
Downloads:
oss_lda_sA_from_xsn.m
oss_lda_score.m
Copyright and disclaimer:
Copyright 2009, Lior Wolf, Tal Hassner, and Yaniv Taigman
Copyright: no material is allowed to be
copied or used in any way without written permission of the authors.
Last update 22th of July, 2009
|


{% extends "layout.html" %} {% block content %}
My full name is {{personal_information.full_name}}, i'm {{personal_information.job}} in {{personal_information.organization}}


1 reference to ContinuationsBalance
System.Management.Automation (1)
engine\interpreter\InstructionList.cs (1)
183
return _instruction.
ContinuationsBalance
+ "/" + _instruction.StackBalance;


{% extends "base.html" %} {% block content_title %}Welcome to PopJob{% endblock %} {% block content %}
PopJob is a recruitment CMS portal made for a University's project. It's based on Flask, Bootstrap 4, MongoDB and good intentions :P


nCov2019 Documentation¶
nCov2019 provides tools to access the statistics of the 2019 Novel Coronavirus. The data is retrieved from Tencent. Currently no validation of the data with the CDC is conducted. Please refer to the National Health Commission of the People’s Republic of China for the official release of the epidemic data and statistics.


|
|||||
| PREV NEXT | FRAMES NO FRAMES |
Fingerprint
s belonging to the Person
.
Person
to all candidate Person
s and
returns the most similar candidates.
Fingerprint
s belonging to one person.Person
object.
Person
object and initializes it with a list of
Fingerprint
s.
Fingerprint
s belonging to the Person
.
Person
.
Person
s.
|
|||||
| PREV NEXT | FRAMES NO FRAMES |


Change Camera Roll Status
Note:
Click the button above to propagate all camera roll values on the right hand side to the fake phonehub manager.
Number of Thumbnails
File type
[[getFileTypeName_(item)]]


Christopher Nepacena received his Juris Doctor from Thomas Jefferson School of Law and is now serving as a Law Clerk for the Rejali Law Firm. His past legal experiences include working within the public and private sectors. Christopher interned with the California Department of Transportation (Caltrans) working on government tort liability and eminent domain cases. Christopher also interned with other local law firms where he gained valuable hands on experience working on personal injury, employment litigation, corporate formation and counsel, business litigation, class action defense, creditor claims, trademark, and patent infringement. As a Legal Assistant for a law firm in San Francisco, Christopher also worked on construction defect, mold and other real property litigation, warranty disputes, and statutory payment issues such as mechanics’ liens, stop notices, and public and private bonds.
While in law school, Christopher participated in the University of San Diego School of Law’s study abroad program, where he studied international litigation and arbitration at the College of Law of England and Wales in London, UK. Christopher was also active in extracurricular activities, serving as the Vice President of his law school’s Asian Pacific American Law Students Association (APALSA), and as the Executive Consultant for the Crawford Legal Institute and Mentorship Bond (CLIMB) – a program designed to mentor high school students pursuing a legal career. Currently, he remains involved in professional organizations such as the American Bar Association (ABA), Filipino American Lawyers of San Diego (FALSD), Pan Asian Lawyers of San Diego (PALSD), and the Korean American Bar Association (KABA).
Christopher is a native of the Bay Area and received his B.A. from the University of San Francisco where he majored in Political Science and double minored in Legal Studies and Philippine Studies. While in college, Christopher served on the executive board for several student organizations, was an active member of a social justice fraternity, and volunteered his time to local charities throughout the greater Bay Area.
Christopher hopes to use his education and training as a means of bridging the gap between people’s problems and their solutions. “When there is a will, there is a way.” – Samuel Smiles


| Total net profit | -43.56 | Gross profit | 8.42 | Gross loss | -51.98 |
| Profit factor | 0.16 | Expected payoff | -1.01 | ||
| Absolute drawdown | -43.56 | Maximal drawdown (%) | 41.76 (-2320.0%) | ||
| Total trades | 43 | Profit trades (% of total) | 9 (20.93%) | Loss trades (% of total) | 34 (79.07%) |
| Long positions (won %) | 36 (19.44%) | Short positions (won %) | 7 (28.57%) | ||
| Largest | profit trade | 3.43 | loss trade | -6.77 | |
| Average | profit trade | 0.94 | loss trade | -1.53 | |
| Minimum | profit trade | 0.01 | loss trade | -0.18 | |
| Maximum | take profit in pips | 133.5 | stop loss in pips | -296.6 | |
| Average | take profit in pips | 18.3 | stop loss in pips | -68.5 | |
| Minimum | take profit in pips | -71.9 | stop loss in pips | -29.4 | |
| Maximum | Reward-Risk | 3.4 | Duration in minutes | 534 | |
| Average | Reward-Risk | 0.6 | Duration in minutes | 58.9 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 2.0 (0.07) | consecutive losses (loss in money) | 11.0 (-20.69) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |
| Total net profit | -35.91 | Gross profit | 4.51 | Gross loss | -40.42 |
| Profit factor | 0.11 | Expected payoff | -1.0 | ||
| Absolute drawdown | -35.91 | Maximal drawdown (%) | 34.11 (-1895.0%) | ||
| Total trades | 36 | Profit trades (% of total) | 7 (19.44%) | Loss trades (% of total) | 29 (80.56%) |
| Largest | profit trade | 2.12 | loss trade | -2.79 | |
| Average | profit trade | 0.64 | loss trade | -1.39 | |
| Minimum | profit trade | 0.01 | loss trade | -0.18 | |
| Maximum | take profit in pips | 104.5 | stop loss in pips | -192.6 | |
| Average | take profit in pips | 11.6 | stop loss in pips | -65.5 | |
| Minimum | take profit in pips | -71.9 | stop loss in pips | -29.4 | |
| Maximum | Reward-Risk | 2.7 | Duration in minutes | 242.0 | |
| Average | Reward-Risk | 0.4 | Duration in minutes | 43.0 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 2.0 (0.07) | consecutive losses (loss in money) | 14.0 (-16.69) | |
| Average | consecutive wins | 1.0 | consecutive losses | 2.0 |
| Total net profit | -7.65 | Gross profit | 3.91 | Gross loss | -11.56 |
| Profit factor | 0.34 | Expected payoff | -1.09 | ||
| Absolute drawdown | -7.65 | Maximal drawdown (%) | 9.46 (522.65%) | ||
| Total trades | 7 | Profit trades (% of total) | 2 (28.57%) | Loss trades (% of total) | 5 (71.43%) |
| Largest | profit trade | 3.43 | loss trade | -6.77 | |
| Average | profit trade | 1.96 | loss trade | -2.31 | |
| Minimum | profit trade | 0.48 | loss trade | -0.78 | |
| Maximum | take profit in pips | 133.5 | stop loss in pips | -296.6 | |
| Average | take profit in pips | 52.6 | stop loss in pips | -83.7 | |
| Minimum | take profit in pips | 18.7 | stop loss in pips | -29.8 | |
| Maximum | Reward-Risk | 3.4 | Duration in minutes | 534.0 | |
| Average | Reward-Risk | 1.3 | Duration in minutes | 140.9 | |
| Minimum | Reward-Risk | Duration in minutes | 0.0 | ||
| Maximum | consecutive wins (profit in money) | 1.0 (3.43) | consecutive losses (loss in money) | 2.0 (-1.62) | |
| Average | consecutive wins | 1.0 | consecutive losses | 1.0 |


From Texts to Graph
The web with its sheer unmeasurable speed of broadcasting new data and its vast quantity of available knowledge is the first choice for information seekers. It is a user’s privilege to read or skim a webpage or bookmark it for later reference. Considering that the human memory can be deceptive, it also is a user's obligation to keep information ordered and easily accessible for later reference.
Storyfinder is an application that includes a browser plugin and a server backend in order to identify and manage the information found in a web page. It highlights named entities and keywords in a currently visited webpage and provides an additional graph view of them. You can edit the nodes and edges, combine web page graph views and search for entities and relations.
Stroryfinder keeps the information you extracted found in webpages managed and provides alternative views of data for easy access.
The Chrome plugin is licensed under the Apache Version 2 License.
docker-compose.yml
file here.
'docker-compose -f <filename> -p storyfinder up'
and wait until the server stack is started. (Note: internet connection is required in order to download resources. Data directories for images and database will be created in the current directory.)
'docker-compose -f <filename> -p storyfinder down'
to stop the server stack
The webserver is licensed under the Apache Version 2 License.
Source Code is available here.
Maintainers:
Steffen Remus, Manuel Kaufmann, Kathrin Ballweg, Tatiana von Landesberger, and Chris Biemann. 2017. Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management. Singapore, Singapore. pp. 2519-2522. (pre-print pdf, bibtex)
Manuel Kaufmann. 2016. Storyfinder: Graphen zur Verbesserung des Textverstandnisses auf Webseiten. Master’s thesis, Technische Universität, Darmstadt, Darmstadt, Germany. (pdf)


I'm a backend (PHP) developer with over 4 years of professional experience in building complex websites, web applications, and web shops. I program mainly in PHP and javascript but have significant first-hand experience with a host of other languages.
When I'm not coding, chances are I'm smashing my head in learning something new or playing games that I can't afford.
After getting permanent, my tasks include but are not limited to:
I've learned a lot while working here, I've had the chance to experiment with new technology, frameworks, and languages and still learning and experimenting with them.
During my internship, I collaborate side by side with multiple projects. Along with core PHP, I also got the chance to get along with codeigniter and other tools and technologies that I was not familiar with.


Contiki 2.5
Main Page
Related Pages
Modules
Data Structures
Files
Directories
Examples
Modules
Here is a list of all modules:
The CTK VNC server
CTK graphical user interface
CTK device driver functions
CTK events
CTK application functions
Best-effort multihop forwarding
Single-hop reliable bulk data transfer
Documentation
Function quick reference
uIP type definitions
The Contiki build system
Device driver APIs
EEPROM API
LEDs API
Radio API
Libraries
Cyclic Redundancy Check 16 (CRC16) calculation
Linked list library
Table-driven Manchester encoding and decoding
Ring buffer library
Memory functions
Memory block management functions
Managed memory allocator
Communication stacks
The Rime communication stack
Rime buffer management
Packet queue
Rime queue buffer management
Anonymous best-effort local area broadcast
Announcements
Rimebroadcastannouncement
Best-effort local area broadcast
Link estimate management
Collect neighbor management
Tree-based hop-by-hop reliable data collection
Ipolite best effort local broadcast
Mesh routing
Best-effort multihop forwarding
Neighbor discovery
Best-effort network flooding
Rimepoliteannouncement
Polite anonymous best effort local broadcast
Rime addresses
Rime route discovery protocol
Rime route table
Single-hop reliable bulk data transfer
Multi-hop reliable bulk data transfer
Single-hop reliable unicast
Stubborn best-effort local area broadcast
Stubborn unicast
Reliable single-source multi-hop flooding
Single-hop unicast
The uIP TCP/IP stack
Protosockets library
uIP hostname resolver functions
Simple-udp
Serial Line IP (SLIP) protocol
The Contiki/uIP interface
uIP packet forwarding
uIP TCP throughput booster hack
uIP configuration functions
uIP initialization functions
uIP device driver functions
uIP application functions
uIP conversion functions
Variables used in uIP device drivers
uIP Address Resolution Protocol
Configuration options for uIP
Static configuration options
IP configuration options
IPv6 configuration options
UDP configuration options
TCP configuration options
ARP configuration options
layer 2 options (for ipv6)
6lowpan options (for ipv6)
General configuration options
CPU architecture configuration
Application specific configurations
6LoWPAN implementation
uIP IPv6 specific features
Architecture specific uIP functions
Contiki platforms
RZRAVEN LCD 3290p
LCD Functions and data
The ESB Embedded Sensor Board
ESB RS232
Beeper interface
TR1001 radio tranciever device driver
Introduction to Over The Air Reprogramming under Windows
The Modular Sensor Board
The Tmote Sky Board
RZRAVEN USB Stick (Jackdaw)
USB Configuration
USB operating modes configuration
USB regulator configuration
USB device operating mode configuration
USB device custom actions
USB device custom actions
USB Contiki Task
USB Driver
Configuration macros for endpoints
USB Pads Regulator drivers
USB common management drivers
USB device controller drivers
USB endpoint drivers
USB host controller drivers
USB pipe drivers
RNDIS Support
USB Mass Storage Task
CDC Task
6LowPan Ethernet Interop
Contiki system
The Contiki file system interface
Implicit network time synchronization
Argument buffer
Clock library
Communication power accounting
Callback timer
Event timers
The Contiki program loader
The Contiki ELF loader
Architecture specific functionality for the ELF loader.
Multi-threading library
Architecture support for multi-threading
Contiki processes
Real-time task scheduling
Seconds timer library
Contiki subprocesses
Timer library
Protothreads
Local continuations
Protothread semaphores
Tutorials
Running Contiki with uIPv6 and SICSlowpan support on Atmel RAVEN hardware
Frame802154
Rimeexamples
Rimebroadcast
Rimecollect_neighbor
Rimemh
XgSmscRegs
XgNicLanc111
Usb
PLL Macros
Wireless
RF230 MAC
SICSLoWMAC Implementation
RF230 Frame handling
RF230 hardware level drivers
RF230 interface
Status_codes
Adc
Led
Micro
System_timer
Flash
Nvm
Gnu
Iar
Board
Platform_common
Raven
Serial interface between Raven processors
Storage
Interfaces
UART1
Generated on Tue May 8 2012 20:13:20 for Contiki 2.5 by
1.7.4


A B C D E F G I L M N O P Q R S T
| baseline-package | Baseline correction |
| algorithm | Extraction methods for "baselineAlgTest" objects |
| algorithm-method | Extraction methods for "baselineAlgTest" objects |
| algorithm-methods | Extraction methods for "baselineAlgTest" objects |
| als | Asymmetric Least Squares |
| baseline | Baseline correction |
| baseline-class | Class "baseline" |
| baseline.als | Asymmetric Least Squares |
| baseline.fillPeaks | Fill peaks |
| baseline.irls | Iterative Restricted Least Squares |
| baseline.lowpass | Low-pass FFT filter |
| baseline.medianWindow | Median window |
| baseline.modpolyfit | Modified polynomial fitting |
| baseline.peakDetection | Simultaneous Peak Detection and Baseline Correction |
| baseline.rfbaseline | Robust Baseline Estimation |
| baseline.rollingBall | Rolling ball |
| baseline.shirley | Shirley Background Estimation |
| baseline.TAP | TAP |
| baselineAlg-class | Class "baselineAlg" |
| baselineAlgorithms | List of available baseline algorithms |
| baselineAlgorithmsGUI | List of available baseline algorithms for GUI function |
| baselineAlgResult-class | Class "baselineAlgResult" |
| baselineAlgTest-class | Class "baselineAlgTest" |
| baselineEnv | Baseline environment |
| baselineGUI | Interactive plotting tool |
| C1s | XPS core line data |
| custom.baseline | Customized baseline correction |
| description | Extraction methods for "baselineAlg" objects |
| description-method | Extraction methods for "baselineAlg" objects |
| description-methods | Extraction methods for "baselineAlg" objects |
| doOptim | Optimise several baseline algorithms on a data set |
| extraArgs | Extraction methods for "baselineAlgTest" objects |
| extraArgs-method | Extraction methods for "baselineAlgTest" objects |
| extraArgs-methods | Extraction methods for "baselineAlgTest" objects |
| fillPeaks | Fill peaks |
| funcName | Extract the "funcName" slot. |
| funcName-method | Extract the "funcName" slot. |
| funcName-methods | Extract the "funcName" slot. |
| getBaseline | Functions to extract the components of a "baseline" object |
| getBaseline-method | Class "baseline" |
| getBaselineEnv | Baseline environment |
| getCall | Functions to extract the components of a "baseline" object |
| getCall-method | Class "baseline" |
| getCorrected | Functions to extract the components of a "baseline" object |
| getCorrected-method | Class "baseline" |
| getOptim | Visual tool for setting up optimization |
| getOptimRes | Visual tool for setting up optimization |
| getSpectra | Functions to extract the components of a "baseline" object |
| getSpectra-method | Class "baseline" |
| ind.min | Extraction methods specific for "predictionResult" objects |
| ind.min-method | Extraction methods specific for "predictionResult" objects |
| ind.min-methods | Extraction methods specific for "predictionResult" objects |
| irls | Iterative Restricted Least Squares |
| lowpass | Low-pass FFT filter |
| medianWindow | Median window |
| milk | MALDI-TOF mass spectra |
| minQualMeas | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| minQualMeas-method | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| minQualMeas-methods | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| modpolyfit | Modified polynomial fitting |
| mvrValstats | Optimise several baseline algorithms on a data set |
| name | Extraction methods for "baselineAlg" objects |
| name-method | Extraction methods for "baselineAlg" objects |
| name-methods | Extraction methods for "baselineAlg" objects |
| O1s | XPS core line data |
| optimWizard | Visual tool for setting up optimization |
| overall.min | Extract the minimum from a baseline optimisation |
| param | Extract the "param" slot |
| param-method | Extract the "param" slot |
| param-methods | Extract the "param" slot |
| param.ind.min | Extraction methods for "baselineAlgResult" objects |
| param.ind.min-method | Extraction methods for "baselineAlgResult" objects |
| param.ind.min-methods | Extraction methods for "baselineAlgResult" objects |
| param.min | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| param.min-method | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| param.min-methods | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| paramName | Extraction methods specific for "predictionResult" objects |
| paramName-method | Extraction methods specific for "predictionResult" objects |
| paramName-methods | Extraction methods specific for "predictionResult" objects |
| peakDetection | Simultaneous Peak Detection and Baseline Correction |
| plot-method | Plot method for "baseline" objects |
| plotBaseline | Plot method for "baseline" objects |
| plotOptim | Plotting tool for result objects from optimization |
| PLSRTest-class | Class "PLSRTest" |
| predictionResult-class | Class "predictionResult" |
| predictionTest-class | Class "predictionTest" |
| putBaselineEnv | Baseline environment |
| qualMeas | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| qualMeas-method | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| qualMeas-methods | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| qualMeas.ind.min | Extraction methods for "baselineAlgResult" objects |
| qualMeas.ind.min-method | Extraction methods for "baselineAlgResult" objects |
| qualMeas.ind.min-methods | Extraction methods for "baselineAlgResult" objects |
| qualMeasName | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| qualMeasName-method | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| qualMeasName-methods | Extraction functions for "predictionResult" or "baselineAlgResult" objects |
| rfbaseline | Robust Baseline Estimation |
| ridgeRegressionTest-class | Class "ridgeRegressionTest" |
| rollingBall | Rolling ball |
| runTest | Run a predictionTest or baselineAlgTest |
| runTest-method | Run a predictionTest or baselineAlgTest |
| runTest-methods | Run a predictionTest or baselineAlgTest |
| shirley | Shirley Background Estimation |
| TAP | TAP |


This class exports some internal (public) methods. This way, those methods can be tested separately.
Located in /Tests/Amfphp/Core/Amf/AmfSerializerWrapper.php (line 20)
Amfphp_Core_Amf_Serializer | --AmfSerializerWrapper
Inherited from Amfphp_Core_Amf_Serializer
Amfphp_Core_Amf_Serializer::$Amf0StoredObjects
Amfphp_Core_Amf_Serializer::$className2TraitsInfo
Amfphp_Core_Amf_Serializer::$outBuffer
Amfphp_Core_Amf_Serializer::$packet
Amfphp_Core_Amf_Serializer::$storedObjects
Amfphp_Core_Amf_Serializer::$storedStrings
Inherited From Amfphp_Core_Amf_Serializer
Amfphp_Core_Amf_Serializer::__construct()
Amfphp_Core_Amf_Serializer::getAmf3Int()
Amfphp_Core_Amf_Serializer::getOutput()
Amfphp_Core_Amf_Serializer::handleReference()
Amfphp_Core_Amf_Serializer::resetReferences()
Amfphp_Core_Amf_Serializer::serialize()
Amfphp_Core_Amf_Serializer::writeAmf3AnonymousObject()
Amfphp_Core_Amf_Serializer::writeAmf3Array()
Amfphp_Core_Amf_Serializer::writeAmf3Bool()
Amfphp_Core_Amf_Serializer::writeAmf3ByteArray()
Amfphp_Core_Amf_Serializer::writeAmf3Data()
Amfphp_Core_Amf_Serializer::writeAmf3Date()
Amfphp_Core_Amf_Serializer::writeAmf3Int()
Amfphp_Core_Amf_Serializer::writeAmf3Null()
Amfphp_Core_Amf_Serializer::writeAmf3Number()
Amfphp_Core_Amf_Serializer::writeAmf3String()
Amfphp_Core_Amf_Serializer::writeAmf3TypedObject()
Amfphp_Core_Amf_Serializer::writeAmf3Undefined()
Amfphp_Core_Amf_Serializer::writeAmf3Xml()
Amfphp_Core_Amf_Serializer::writeAmf3XmlDocument()
Amfphp_Core_Amf_Serializer::writeAnonymousObject()
Amfphp_Core_Amf_Serializer::writeArrayOrObject()
Amfphp_Core_Amf_Serializer::writeBoolean()
Amfphp_Core_Amf_Serializer::writeByte()
Amfphp_Core_Amf_Serializer::writeData()
Amfphp_Core_Amf_Serializer::writeDate()
Amfphp_Core_Amf_Serializer::writeDouble()
Amfphp_Core_Amf_Serializer::writeInt()
Amfphp_Core_Amf_Serializer::writeLong()
Amfphp_Core_Amf_Serializer::writeLongUtf()
Amfphp_Core_Amf_Serializer::writeNull()
Amfphp_Core_Amf_Serializer::writeNumber()
Amfphp_Core_Amf_Serializer::writeObjectEnd()
Amfphp_Core_Amf_Serializer::writeObjectFromArray()
Amfphp_Core_Amf_Serializer::writePlainArray()
Amfphp_Core_Amf_Serializer::writeReference()
Amfphp_Core_Amf_Serializer::writeString()
Amfphp_Core_Amf_Serializer::writeTypedObject()
Amfphp_Core_Amf_Serializer::writeUndefined()
Amfphp_Core_Amf_Serializer::writeUtf()
Amfphp_Core_Amf_Serializer::writeXML()
Inherited from Amfphp_Core_Amf_Serializer
Amfphp_Core_Amf_Serializer::MAX_STORED_OBJECTS
Documentation generated on Tue, 29 May 2012 23:42:01 +0200 by phpDocumentor 1.4.3


It's for someone speshial who can't decide which animal is in that specific moment.
I Love You
Because I wanted to learn to use javascript, I have some (little) background in Python and Java and if you want to do something on the web javascript is a must.
I just needed the right little project.
This site uses Flickr API to search images about an animal species, randomly selected from owl, otter, alpaca, frog and cat and then display a random image selected from the response (you can always go to the original image, otherwhise is a bug, drop in to make an issue).
jQuery is used for manipulation and animations of the page. Crossroad.js + Hasher is used for the fancy URLs action.
You can find the icons at Game-Icons, and the spinning infinite icon is from Preloaders
If you are curious you can find the source code on github
I am a curious guy, always experimenting, always finding something to explore. I also work in IT so somehow I can use what I learned here :)
"Focus on the journey, not the destination.
Joy is found not in finishing an activity but in
doing it."
-Greg Anderson


Reservation:
Click "Reserve" to reserve this flight.
Departure destination:
{{data.flight.departureDestination.city}}
Arrival destination:
{{data.flight.arrivalDestination.city}}
Departure time:
{{data.flight.departureTime | date:'medium'}}
Arrival time:
{{data.flight.arrivalTime | date:'medium'}}
Price of ticket:
{{data.flight.ticketPrice}}
Travel length:
{{data.flight.travelTime}}


Cody looked at all that was before him he finally knew where he belonged,but then he thought about the life he lived in the surface "your hig...uhh dad" said Cody "I'm happy to finally find where i truly belong and knowing about my real family cmon,But I made a whole life back on the surface,I'm even in an organized sport so with all due respect I wish to return to the home I was raised in"said Cody "and so you shall" said King zale "but before you leave I want you to take this" the King gave Cody an amulet with a emerald in the middle of it "Look into that emerald and you will be brought back here" Cody looked at the amulet "thank's dad" said Cody "Thank me? Thank you" said the king "for it was you who got me to see my sin,And brought peace to the ocean in a way I couldn't have"
As the crowd continued to cheer Cody saw his half sister with her head Alesha always wanted to have a sibling,and now that she has one the now have to live in separate worlds,Cody want over and wrapped his arms around the mermaid " I'll come back"Cody said "I know but.."said alesha "all my life I wanted a sibling and now that I have one, he has to live in a separate world from me" "hey as long as you still think of me i'll always be with you no matter where you are" aid cody "aww its so sweet and sad"said kito emotionally "let me have some of that sugar" and so as kito started a group hug with his uncle and cousins,the crowd continued to cheer for the hero that was their lost prince and his family
"Well I guess this is goodbye" said Cody after Cody said his goodbye he swam back to the surface with the amulet around his neck,thinking about the adventure he had today but as he was thinking he suddenly remembered "oh no I forgot all about my surf contest"
The end


The beginning of the emergent lifestyle
A 3 year journey that has led me to learn about lifestyles then question them. This blog documents the possibility of lifestyles that benefit the individual, the environment and the community. This is a start.
--- layout: default title: "Emergent Living - About" ---
A 3 year journey that has led me to learn about lifestyles then question them. This blog documents the possibility of lifestyles that benefit the individual, the environment and the community. This is a start.


|
Scanner provides native compressed video support, which enables directly accessing compressed videos to keep your storage and bandwidth costs low.
Scanner supports machines with CPUs and GPUs out of the box so that you can make the most out of your hardware.
Scanner is integrated with Kubernetes, Google Cloud Platform, and AWS to make it easy to spin up machines to get your results back faster.
Scanner makes it much easier to analyze large video datasets to extract trends and statistics that rely on the content of the videos, instead of just the metadata. For example, we have been able to use Scanner to analyze every cable TV news show aired for a decade to understand representation in the media.


{% extends 'blog/base/editorcp.html' %} {% block title %} Create Important Entry - {{ block.super }} {% endblock title %} {% block h1 %} Create new important entry {% endblock h1 %} {% block content %}
Set an entry as important. This means that it will be displayed in all the blog pages as a carousel diapositive. Although the carousel will not appear in mobile sized screens or when there is not any important entry.


Syntax:
wrapss -f "program"
Examples:
wrapsource "myexe" wrapsource "myexe -n 3 -o outfile < in.script" wrapsource "echo"
Description:
Wrapss is a PHISH minnow that can be used in a PHISH program. In PHISH lingo, a "minnow" is a stand-alone application which makes calls to the PHISH library to exchange data with other PHISH minnows.
The wrapss minnow is used to wrap a non-PHISH application so that datums can be sent to it from other PHISH minnows as lines it reads from stdin, and lines it writes to stdout can be sent as datums to other minnows. It is a mechanism for using non-PHISH applications as minnows in a PHISH net.
Ports:
The wrapss minnow uses one input port 0 to receive datums and one output port 0 to send datums.
Operation:
When the wrapss minnow starts, the program argument is treated as a string that is executed as a command by the shell. As in the examples above program can be an executable program name or a shell command. It can include flags or redirection operators. If the string contains spaces, it should be enclosed in quotes in the PHISH input script so that it is treated as a single argument when the script is read by the bait.py tool.
After the wrapss minnow launches the program command, it calls the phish_probe function. Each time an input datum is received, its single string field is written to the running program with a trailing newline, so that the program reads it as a line of input from stdin. When no input datum is available, "phish_probe" returns control to the wrapss minnow which checks if there is any output that the running program has written to stdout. If there is, the wrapss minnow sends it as a string (without the trailing newline) to its output port 0.
Note that there is no requirement that the running program produce a line of output for every line of input it reads. It may for example, read all of its input, compute for a while, then produce all of its output. Or it may produce output as bursts of lines, after reading multiple input lines.
The wrapss minnow shuts down when its input port is closed by receiving a sufficient number of "done" messages. When this occurs, it closes the stdin pipe the running program is reading from, which should cause it to exit. The wrapss minnow reads all the final output produced by the running program until it exits and converts it into datums that it sends to its output port 0. It then calls phish_exit.
Data:
The wrapss minnow must receive single field datums of type PHISH_STRING. It also sends single-field datums of type PHISH_STRING.
Restrictions:
The C++ version of the wrapss minnow allocates a buffer of size MAXLINE = 1024 bytes for both converting the PHISH_STRING fields of received datums into lines of input read from stdin by the wrapped program, and for reading lines of output written to stdout by the wrapped program. This can be changed (by editing minnow/wrapss.cpp) if longer lines are needed.
Related minnows:


About The Conference
.NET Dev Summit 2020 - APAC is a free virtual developer conference co-organized by Singapore Mobile .Net Developers, MonkeyFest, Microsoft and Xamariners.
Come and join us for a full day of action-packed top banana sessions to learn about the latest and greatest of Microsoft Technologies directly from Global Microsoft folks, Microsoft MVPs, Industry experts, and Community rockstars.
Schedule
-
09:00 AM SGT
Event Briefing
-
09:30 AM - 10:25 AM SGT
Taking .NET Everywhere
By James Montemagno
In this mobile first, cloud first world, it's essential to have a high-performing, powerful framework available on every platform you're targeting. That framework is .NET and has expanded to every device imaginable. Whether it is server, web, mobile, wearables, or IoT, .NET is there and fully cross-platform. Developers can now leverage Xamarin to craft native Mobile and Desktop applications from a single shared code base, while building back-ends and web sites in .NET Core and ASP.NET Core that can run on any operating system to power them. Join James Montemagno in a keynote session focused on how you can leverage your existing .NET and C# skills to build apps for any platform. He'll take you through everything you need to get started building apps and a few revolutionary tools to help learn the amazing APIs packed into each platform. -
10:30 AM - 11:25 AM SGT
What’s new with Xamarin?
By Maddy Leger
Xamarin developers are creating beautiful cross-platform mobile apps faster and easier than ever. Xamarin.Forms 5 introduces new controls to help developers create modern, appealing app UX with less code. Along with the new SDK, the Xamarin team has been hard at work making improvements to every aspect of the .NET mobile development process. We’ve made it more intuitive to write code, faster to build and deploy your apps, and easier to iterate on your UIs with a wide variety of tools and features. Join Maddy Leger, Xamarin Program Manager, to learn about some of the latest features coming to Xamarin like XAML Hot Reload for Xamarin.Forms, Hot Restart for iOS development on Windows, custom drawn UI, and more! -
11:30 AM - 12:25 PM SGT
Inside what’s new in Blazor
By Safia Abdalla
Perf improvements, lazy-loading, and CSS isolation – oh my! These are just some of the features that are dropping in Blazor as part of .NET 5. In this talk, we’ll discuss these features, how you can use them to level-up your Blazor apps, and go behind the scenese of the design and implementation process of each of these features. -
12:30 PM - 01:25 PM SGT
The Future of C#
By Mads TorgersenIn this talk Mads - Lead Designer of the C# programming language will cover the future of the C# language and some of the amazing features built for you. -
01:30 PM - 02:25 PM SGT
Build real embedded IoT with C# using Meadow
By Adrian Stevens
Use the Meadow IoT platform to build enterprise-grade hardware solutions that run full .NET on embeddable microcontrollers. We’ll deploy C# apps to real hardware with Visual Studio. Learn how to control hardware using software patterns and techniques you already use for cloud, desktop and mobile! -
02:30 PM - 03:00 PM SGT
Building Microservices in .NET with project Tye
By Nish Anil
Microservices development can be hard. In this talk, we'll discuss why microservices are important and why you should care about them. And, learn about Docker, Kubernetes, and Project Tye - new tooling the .NET team is working on to help you build microservices faster! -
03:05 PM - 03:25 PM SGT
Big Data for .Net Devs using Spark
By Nilesh Gule
.Net for Apache Spark was announced recently. Lets see how .Net developers can leverage Spark for big data processing -
03:30 PM - 03:50 PM SGT
Infrastructure as Code with C# and Pulumi
By Ben Ishiyama-Levy
Create, deploy and manage cloud infrastructure using .NET. Use the features of the Visual Studio family with auto-completion, error checking with red markers, build error messages, refactoring tools, and package managers. Reference any NuGet library compatible with .NET Core ! -
03:55 PM - 04:30 PM SGT
Ask the Experts
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Register
Code of Conduct Our User Groups are dedicated to providing a respectful, harassment-free community for everyone. We do not tolerate harassment or bullying of any community member in any form. While attending the event, you must follow this Code of Conduct.


Represents a one-to-many relationship between two models. Usually created indirectly via a model definition:
More...
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| override string | InstanceOf [get] |
| |
| override string | Type [get] |
| | Alias More...
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| |
| virtual bool | AutoLoad [get, set] |
| | True to automatically load the related store from a remote source when instantiated. Defaults to false. More...
|
| |
| virtual string | FilterProperty [get, set] |
| | Optionally overrides the default filter that is set up on the associated Store. If this is not set, a filter is automatically created which filters the association based on the configured foreignKey. See intro docs for more details. Defaults to undefined More...
|
| |
| virtual string | ForeignKey [get, set] |
| | The name of the foreign key on the associated model that links it to the owner model. Defaults to the lowercased name of the owner model plus "_id", e.g. an association with a where a model called Group hasMany Users would create 'group_id' as the foreign key. More...
|
| |
| virtual string | Name [get, set] |
| | The name of the function to create on the owner model to retrieve the child store. If not specified, the pluralized name of the child model is used. More...
|
| |
| virtual Store | StoreConfig [get, set] |
| | Optional configuration object that will be passed to the generated Store. Defaults to undefined. More...
|
| |
| virtual string | StoreConfigProxy [get] |
| |
| override ConfigOptionsCollection | ConfigOptions [get] |
| |
| override string | InstanceOf [get] |
| |
| abstract string | Type [get] |
| | Alias More...
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| |
| virtual string | AssociationKey [get, set] |
| | The name of the property in the data to read the association from. Defaults to the name of the associated model. More...
|
| |
| virtual string | PrimaryKey [get, set] |
| | The name of the primary key on the associated model. In general this will be the Ext.data.Model.idProperty of the Model. Defaults to 'id' More...
|
| |
| virtual string | Model [get, set] |
| | The string name of the model that is being associated with. Required More...
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| |
| virtual ReaderCollection?? | Reader [get] |
| | A special reader to read associated data More...
|
| |
| string | PropertyName [get] |
| |
| override ConfigOptionsCollection | ConfigOptions [get] |
| |
| virtual string | InstanceOf [get] |
| |
| ItemState | State [get] |
| |
| virtual DefaultValueMode | DefaultValueMode [get, set] |
| |
| virtual bool | DesignMode [get] |
| |
| bool | AutoDataBind [get, set] |
| |
| ResourceManager | ResourceManager [get] |
| |
| virtual Control | Owner [get, set] |
| | The Owner Control for this Listener. More...
|
| |
| virtual bool | IsDefault [get] |
| | Does this object currently represent it's default state. More...
|
| |
| bool | IsTrackingViewState [get] |
| |
| EventHandlerList | Events [get] |
| |
| EventHandler | DataBinding |
| |
| Control?? | BindingContainer [get] |
| |
| virtual ConfigItemCollection?? | CustomConfig [get] |
| | Collection of custom js config More...
|
| |
| virtual ConfigOptionsCollection | ConfigOptions [get] |
| |
| virtual ConfigOptionsExtraction | ConfigOptionsExtraction [get] |
| |
| System.Web.Mvc.HtmlHelper?? | HtmlHelper [get, set] |
| |
| ConfigOptionsCollection | ConfigOptions [get] |
| |
| ConfigOptionsExtraction | ConfigOptionsExtraction [get] |
| |
| DefaultValueMode | DefaultValueMode [get, set] |
| |
| string | PropertyName [get] |
| |
Represents a one-to-many relationship between two models. Usually created indirectly via a model definition:
Ext.regModel('Product', { fields: [ {name: 'id', type: 'int'}, {name: 'user_id', type: 'int'}, {name: 'name', type: 'string'} ] });
Ext.regModel('User', { fields: [ {name: 'id', type: 'int'}, {name: 'name', type: 'string'} ],
hasMany: {model: 'Product', name: 'products'} });
Above we created Product and User models, and linked them by saying that a User hasMany Products. This gives us a new function on every User instance, in this case the function is called 'products' because that is the name we specified in the association configuration above.
This new function returns a specialized Store which is automatically filtered to load only Products for the given model instance:
//first, we load up a User with id of 1 var user = Ext.ModelManager.create({id: 1, name: 'Ed'}, 'User');
//the user.products function was created automatically by the association and returns a Store //the created store is automatically scoped to the set of Products for the User with id of 1 var products = user.products();
//we still have all of the usual Store functions, for example it's easy to add a Product for this User products.add({ name: 'Another Product' });
//saves the changes to the store - this automatically sets the new Product's user_id to 1 before saving products.sync(); The new Store is only instantiated the first time you call products() to conserve memory and processing time, though calling products() a second time returns the same store instance.
Custom filtering
The Store is automatically furnished with a filter - by default this filter tells the store to only return records where the associated model's foreign key matches the owner model's primary key. For example, if a User with ID = 100 hasMany Products, the filter loads only Products with user_id == 100.
Sometimes we want to filter by another field - for example in the case of a Twitter search application we may have models for Search and Tweet:
var Search = Ext.regModel('Search', { fields: [ 'id', 'query' ],
hasMany: { model: 'Tweet', name : 'tweets', filterProperty: 'query' } });
Ext.regModel('Tweet', { fields: [ 'id', 'text', 'from_user' ] });
//returns a Store filtered by the filterProperty var store = new Search({query: 'Sencha Touch'}).tweets(); The tweets association above is filtered by the query property by setting the filterProperty, and is equivalent to this:
var store = new Ext.data.Store({ model: 'Tweet', filters: [ { property: 'query', value : 'Sencha Touch' } ] });


Module: ActiveSupport::DescendantsTracker
Overview
This module provides an internal implementation to track descendants which is faster than iterating through ObjectSpace.
Class Attribute Summary
-
.native?
readonly
Internal use only
See additional method definition at line 77.
Class Method Summary
-
.descendants(klass)
See additional method definition at line 62.
- .direct_descendants(klass)
-
.store_inherited(klass, descendant)
This is the only method that is not thread safe, but is only ever called during the eager loading phase.
-
.subclasses(klass)
See additional method definition at line 58.
- .accumulate_descendants(klass, acc) private
-
.clear(classes)
Internal use only
See additional method definition at line 66.
-
.disable_clear!
Internal use only
See additional method definition at line 50.
Instance Method Summary
-
#descendants
See additional method definition at line 88.
-
#direct_descendants
See additional method definition at line 92.
- #inherited(base)
-
#subclasses
See additional method definition at line 82.
Class Attribute Details
.native? (readonly)
See additional method definition at line 77.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 132
def native? # :nodoc: true end
Class Method Details
.accumulate_descendants(klass, acc) (private)
[ GitHub ]# File 'activesupport/lib/active_support/descendants_tracker.rb', line 143
def accumulate_descendants(klass, acc) if direct_descendants = @@direct_descendants[klass] direct_descendants.each do |direct_descendant| acc << direct_descendant accumulate_descendants(direct_descendant, acc) end end end
.clear(classes)
See additional method definition at line 66.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 118
def clear(classes) # :nodoc: raise "DescendantsTracker.clear was disabled because config.cache_classes = true" if @clear_disabled classes.each do |klass| @@excluded_descendants[klass] = true klass.descendants.each do |descendant| @@excluded_descendants[descendant] = true end end end
.descendants(klass)
See additional method definition at line 62.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 112
def descendants(klass) klass.descendants end
.direct_descendants(klass)
[ GitHub ]# File 'activesupport/lib/active_support/descendants_tracker.rb', line 11
def direct_descendants(klass) ActiveSupport::Deprecation.warn(<<~MSG) ActiveSupport::DescendantsTracker.direct_descendants is deprecated and will be removed in Rails 7.1. Use ActiveSupport::DescendantsTracker.subclasses instead. MSG subclasses(klass) end
.disable_clear!
See additional method definition at line 50.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 103
def disable_clear! # :nodoc: unless @clear_disabled @clear_disabled = true remove_method(:subclasses) @@excluded_descendants = nil end end
.store_inherited(klass, descendant)
This is the only method that is not thread safe, but is only ever called during the eager loading phase.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 138
def store_inherited(klass, descendant) (@@direct_descendants[klass] ||= DescendantsArray.new) << descendant end
.subclasses(klass)
See additional method definition at line 58.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 107
def subclasses(klass) klass.subclasses end
Instance Method Details
#descendants
See additional method definition at line 88.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 170
def descendants subclasses.concat(subclasses.flat_map(&:descendants)) end
#direct_descendants
See additional method definition at line 92.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 158
def direct_descendants ActiveSupport::Deprecation.warn(<<~MSG) ActiveSupport::DescendantsTracker#direct_descendants is deprecated and will be removed in Rails 7.1. Use #subclasses instead. MSG subclasses end
#inherited(base)
[ GitHub ]# File 'activesupport/lib/active_support/descendants_tracker.rb', line 153
def inherited(base) DescendantsTracker.store_inherited(self, base) super end
#subclasses
See additional method definition at line 82.
# File 'activesupport/lib/active_support/descendants_tracker.rb', line 166
def subclasses subclasses = super subclasses.reject! { |d| @@excluded_descendants[d] } subclasses end


For each group of Pokémon presented to you, click one or more of your favorites from that group and press the "Pick" button. Eventually, your favorite Pokémon will start appearing under "Found Favorites". You can continue as long as you like to construct an arbitrarily long list of your favorite Pokémon.
In principle, this picker is perfectly accurate, provided you pick consistently - you'll correctly get your second favorite second, even if it's pitted against your absolute favorite early on, for instance. Click here for more on how this tool works. You can reorder your favorites after you've found them, but in principle you shouldn't need to.
Various filtering and presentation options for the picker can be found in the "Options" tab next to "Found Favorites" below.
Want to create your own favorite picker? It's on GitHub with instructions to get you started.
The idea for the favorite Pokémon picker is not original to me; it is inspired by an old, now-defunct original that has been recreated with upgrades here. Basically, it would present you with a random pair of Pokémon, you'd pick the one you liked better, and that would eliminate the other Pokémon from the running and then give you another pair randomly chosen from the remaining Pokémon. Eventually, when you had eliminated every Pokémon but one, the remaining one had to be your very favorite Pokémon, and the last few you eliminated were given second to tenth place.
This picker was designed to improve on this concept. The main differences are that it will present you with up to 20 Pokémon at a time by default, which speeds up the picking process considerably, and that rather than giving second to tenth place to the last nine Pokémon you eliminated (which leaves them partially up to chance - if the old picker happens to make you pick between your two favorites early on, your real second favorite won't even make the list), it will instead bring back all Pokémon eliminated by your favorite and have you pick between them in the same way as before. This recursiveness also means that instead of cutting it off at top ten, you can in theory continue picking until you've ordered literally every single Pokémon into a favorites list.
The basic principle driving this picker is still elimination - it just also keeps track of which Pokémon you picked over each eliminated Pokémon. For example, if the picker shows Charizard and Butterfree, and you pick Charizard, it doesn't give Charizard points or mark it as liked somehow; it just marks Butterfree as eliminated by Charizard. If you eventually go on to eliminate every Pokémon except Charizard, then Charizard will be added to your Found Favorites, and Butterfree (and any other Pokémon that were eliminated by Charizard) will be back in the running for second place. Similarly, if you had previously had a batch with Charizard, Butterfree and Blastoise in it, and you picked Charizard and Butterfree, then Blastoise will reappear whenever Charizard and Butterfree have both been added under Found Favorites.
All that picking means is therefore, "I like all of these Pokémon better than any of those." This is intentionally a broad, flexible statement; you'll end up with the same result regardless of how many Pokémon you choose to pick from each batch, so it's up to you how many you want to pick at a time. If you just want to get your number one favorite or a select few, it's quickest to try to pick just one Pokémon from each batch, while if you want to construct something like a top fifty list, you may want to start by picking every Pokémon that's likely to end up in that top fifty.
The elimination mechanic is also why you can't pick nothing; Pokémon can only ever be eliminated by some other Pokémon, so that the picker can know when to bring them back. The "Pass" button is instead equivalent to picking every Pokémon in the batch, which eliminates nothing and simply means all those Pokémon get shuffled into the next round - passing over and over won't get you anywhere, so make sure you do some actual picking.
Pokémon remaining to be eliminated before next favorite is found:
Progress towards next favorite:
Not seeing one of your favorite Pokémon? Click here to check what happened to it.
To export your picker state (in order to, for example, import it on another computer, or allow me to replicate an issue you're experiencing), copy the entire contents of the text box below and save them however you see fit - in a text file on your computer, in an e-mail to yourself, etc.
To import a state, erase the entire contents of the text box and replace them with an exported state, then press the "Import state" button below.
If checked, all displayed sprites will be shiny.
The maximum number of Pokémon shown at a time. When there are few Pokémon left in a round, you'll see fewer than this. Reducing the maximum batch size may make it easier to pick, but it will also take longer to get through each round.
() In forms mode, Pokémon forms are included as separate entities. If "Major only" is checked, only significant differences (rather than e.g. minor gender dimorphism or partial color variations) will be included; otherwise every aesthetic difference counts. This distinction is somewhat arbitrary.
If checked, only final evolutions will be included.
Generations to include: , , , , , , , Only Pokémon from the checked generations will appear. In forms mode, forms count as the generation where they were introduced, but gender differences as the base Pokémon's generation.
Types to include: , , , , , , , , , , , , , , , , , Only Pokémon that have at least one of the selected types will appear.
If unchecked, Pokémon that might be considered spoilers, either for story reasons or because they're officially unreleased, will be excluded.


QUESTION #1
What are the three different privileges in file permissions?
QUESTION #2
How permissions are categorized into three groups?
QUESTION #3
What is the numeric value associated with write permission?
QUESTION #4
What is the numeric value associated with read permission?
QUESTION #5
What is the numeric value associated with read, write, and execute permissions?
QUESTION #6
Suppose you have given permissions as shown below.
Owner: Write
Group: None
Others: None
Which uAdmin function will match the given statement above?
QUESTION #7
Suppose you have given permissions as shown below.
Owner: None
Group: Read
Others: None
Which uAdmin function will match the given statement above?
QUESTION #8
Suppose you have given permissions as shown below.
Owner: Read
Group: None
Others: Execute
Which uAdmin function will match the given statement above?
QUESTION #9
Suppose you have given permissions as shown below.
Owner: Write
Group: Read
Others: Write
Which uAdmin function will match the given statement above?
QUESTION #10
Suppose you have given permissions as shown below.
Owner: Execute
Group: Write
Others: Read
Which uAdmin function will match the given statement above?
QUESTION #11
Suppose you have given permissions as shown below.
Owner: Read & Write
Group: Execute
Others: Execute
Which uAdmin function will match the given statement above?
QUESTION #12
Suppose you have given permissions as shown below.
Owner: Read & Write
Group: Write
Others: Read
Which uAdmin function will match the given statement above?
QUESTION #13
Suppose you have given permissions as shown below.
Owner: Read, Write & Execute
Group: Write & Execute
Others: Execute
Which uAdmin function will match the given statement above?
QUESTION #14
Suppose you have given permissions as shown below.
Owner: Read & Write
Group: Write & Execute
Others: Read & Execute
Which uAdmin function will match the given statement above?
QUESTION #15
Suppose you have given permissions as shown below.
Owner: Read, Write & Execute
Group: Read & Write
Others: Write & Execute
Which uAdmin function will match the given statement above?


Simple Toolbar
The example below demonstrates how to create toolbars. The toolbar can hold multiple items and supports sprite icons or iconic fonts. You can have both images and icon fonts in the same toolbar. For the click event info, see the console. Simple button types are:- button
- radio
- check
- break
- spacer


My name is Amol Borcar. I am 24 years old and graduated in 2011 from the University of Texas at Austin with a degree in Finance. I'm not sure what else to put on this page! Hopefully I'll think of stuff while I browse Netflix.
These are the cities I've lived in:
Here are my favorite TV shows (in no particular order):
I really like sports of all types, but especially basketball and football. I'm also into movies, music, hiking, and trying fancy beer.
Click the icon to visit me on Facebook:
Here's a puppy!


1. 结构元素：blockquote, body, br, div, h1 - h6, head, hr, html, p
2. 头部元素：base, link, meta, script, style, title
3. 列表元素：ul, ol, li, dl, dt, dd
4. 文本格式元素：a, abbr, acronym, address, bdo, cite, code, del, dfn, em, ins, kbd, noscript, pre, q, samp, small, span, strong, sub, sup, var
5. 表单元素：button, fieldset, legend, form, input, label, optgroup, option, select, textarea
6. 多媒体元素：area, img, map, object, param
7. 表格元素：caption, col, colgroup, table, tbody, td, tfoot, th, thead, tr
8. 窗体元素：iframe
1. 结构元素：无
2. 头部元素：无
3. 列表元素：dir, menu
4. 文本格式元素：b, basefont, big, blink, center, comment, font, i, marquee, nobr, plaintext, ruby, s, strike, u, wbr, xmp
5. 表单元素：isindex
6. 多媒体元素：applet, bgsound, embed, noembed
7. 表格元素：无
8. 窗体元素：frame, frameset, noframes
1. s - 表示 sprite, 可以用 <s>&;lt;/s> 来做 icon 的占位元素
2. b - 表示 border, 可以用来作为圆角的占位元素
3. i - 预留，尚未想到合理的复活理由
p: Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
blockquote: The quick brown fox jumps over the lazy dog. 那只敏捷的棕毛狐狸跃过那只懒狗。
abbr: HTML 缩写
acronym: WWW 首字母缩写
address: This element is used to mark up contact details for the author or owner of the document, in order that the reader may use these details to contact the document’s owner. Such as:
页面维护：yubo(at)tiantang.com & zhengchun(at)tiantang.combdo: A palindrome is a word, like 'kayak,' that appears exactly the same when all the letters are reversed. Canoe, it seems, is not apalindrome.
cite: More information can be found in [ISO-0000].
code: var o = { name : "John", salary : 2000000 };
del / ins: Bernie enjoyed nothing more than a night out on the town at his
favorite drag queen show quiet night in with a warm cup of
cocoa.
dfn: The concept of progressive enhancement has been about for a few years. You could say that it describes an approach to web development from the point of view that 'the glass is half full' rather than 'the glass is half empty.' Progressive enhancement came to the public's attention when ...
em: Do you really need to buy those expensive jeans? I mean, is it really that important to you to look like some kind of circus freak?
kbd: Hold down CTRL, ALT, and DELETE, then select Task Manager
nobr: Our telephone number is
pre:
code, kbd, pre, samp, tt { font-family: courier new, courier, monospace; }
q: Heck, even Bill Gates is quoted as saying We need
Microformats,
which can only be a good thing for the cause.
samp: If the browser spits out an error message such as HTTP 404 - File not found, you may simply have typed the address incorrectly.
small：那只敏捷的棕毛狐狸跃过那只懒狗。The quick brown fox jumps over the lazy dog.
span：那只敏捷的棕毛狐狸跃过那只懒狗。The quick brown fox jumps over the lazy dog.
strong: Look for the sign that says turn left, then turn left!
sub / sup: H2O E = mc2 能量 = 质量 * 光速2 y = x系数指数z原子原子数
tt: The scores rolled in underneath the moustached face of Dickie Davies, hot off the teletype machines that someone was operating deep in the dungeons of ITV: "Heart of Midlothian: 4, Queen of the South: 2, Plymouth Argyle 3 …"
var: To get access to the system you first need to enter your username, e.g. monkeyboy123, followed by your unique 6-digit customer ID beginning with C, e.g. C13345.
map / area:
object / param:
| Account Type | Interest Rate |
|---|---|
| Recommended for you: 'Young Saver' | Interest from: 1.6% |
| Smart | From 2% |
| Young Saver | From 1.6% |
iframe:


Main page | About | Contact | Survey | Reminder
My name is Oktawia Połczyńska
My email adress<EMAIL_ADDRESS>My student ID: 130482
My studies:
My favourite food is 🍕


Debug tracker class
This class can be used to log variables data for debugging purposes, such as iterations which can be useful for writing generators and other types of parsers to confirm states, but it is not limited to such.
This class can be used to log variables data for debugging purposes, such as iterations which can be useful for writing generators and other types of parsers to confirm states, but it is not limited to such.


20 July 1999
Disease Outbreak Reported
A total of 14 402 cases of severe diarrhoea, including cholera cases, has been reported between 29 May and 12 July. The most affected area is Kabul province, Central region where nearly 7 000 cases have occurred. Out of 9 samples tested, 5 were laboratory-confirmed as cholera. A significant increase in the number of suspect cholera cases was noted in Kunduz province, North-eastern region and various provinces in Southern region during the week 3 to 9 July.
The Ministry of Public Health (MOPH) organized a cholera task force including representatives of the MOPH, WHO, UNICEF, Médecins sans frontières and Save the Children Fund (US). Data collection from hospitals and other health centres was organized in Kabul city. WHO distributed drug supplies through its suboffices in the regions and arrangements are being made to procure more supplies. Regions where no cholera cases have been reported have been alerted and task forces formed within the diarrhoeal disease surveillance system.
Discussions were held with the MOPH, UNICEF and the World Food Programme in Kabul to prepare the implementation of control activities including chlorination of wells, mass awareness campaigns and construction and installation of microfilters for the provision of safe drinking-water at public places in Kabul city.
Cholera is endemic in the country and outbreaks occur every year. In 1998, around 10 000 cholera cases (including suspect/acute diarrhoea cases) were reported in Kabul alone, and in 1997 around 4 000 cases (including suspect cases) were reported.


Improve and Vitalize Your
BODY & MIND!
Doubtful two bed way pleasure confined followed. Shew up ye away no eyes life or were this. Perfectly did suspicion daughters but his intention. Started on society an brought it explain. Position two saw greatest stronger old. Pianoforte if at simplicity do estimating
By so delight of showing neither believe he present. Deal sigh up in shew away when. Pursuit express no or prepare replied. Wholly formed old latter future but way she.  Considered introduced themselves mr to discretion at. Means among saw hopes for. Death mirth in oh learn he equal on
Doubtful two bed way pleasure confined followed. Shew up ye away no eyes life or were this. Perfectly did suspicion daughters but his intention. Started on society an brought it explain. Position two saw greatest stronger old. Pianoforte if at simplicity do estimating
By so delight of showing neither believe he present. Deal sigh up in shew away when. Pursuit express no or prepare replied. Wholly formed old latter future but way she.  Considered introduced themselves mr to discretion at. Means among saw hopes for. Death mirth in oh learn he equal on


 As Christine (an interior decorator and lapsed Catholic) prepares to move from her New York apartment to live with another widow in Florida, Herman (A Jewish carpet dealer) appears and requests that she stay in the city and marry him. When their respective mates were alive they saw each other constantly and frequently traveled together. Christine thinks the idea is ridiculous but Herman persists in his quest amid the turmoil of moving men Ralph and Clark’s emptying Christine’s home.
Apple Hill’s favorite couple, Dennis Kerr and Shirley Ratner, are featured. “Very touching and loving.”


Aston Villa handed major injury boost ahead of Newcastle United and Manchester United clashes
Aston Villa latest news | Dean Smith has had to deal with an injury headache but one man is ready to hand him a boost ahead of the Premier League's return in two weeks
by Richard CusackAston Villa's Jota has issued an injury update as he battles back from a hernia operation.
The summer signing from Birmingham City underwent surgery at the beginning of the month.
Jota hasn't featured since the September 25 Carabao Cup win at Brighton and Hove Albion .
He was out of the starting XI picture before his operation, an unused substitute for three matches until he went under the knife.
Aston Villa latest
This is your round up of all things Villa; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Villains throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Villa fans send stark warning to Smith
- The January transfer priorities for Purslow and Smith
- Jota hands Villa major injury boost
- Morelos speaks out as Rangers rumours swirl
For all your latest AVFC news, opinion, analysis and transfer gossip, click here
You can follow our Villa reporter Ashley Preece on Twitter, and his email address is<EMAIL_ADDRESS>The Spaniard had started three of five matches, substituted in for his first couple of Villa outings.
With Villa really struggling with injuries, Jota has provided a major boost for boss Dean Smith .
First-choice goalkeeper Tom Heaton missed the 2-1 defeat to Wolverhampton Wanderers last time out, with captain Jack Grealish and starting centre-back also sitting out the trip to Molineux.
To make matters worse, Heaton's replacement Jed Steer suffered a calf injury and Matt Targett limped out in first-half injury time.
But Jota could be back soon, posting a video on Instagram of him doing sprinting drills with strength and conditioning coach Paddy Moore.


Please enter your e-mail and Private Key.
Welcome to Firebase web login Example. You're currently logged in


Shared maps:
Shared map
Address:
Add map
Hey, it looks like you need to enter your Maprosoft details. Go to the power ups section in the Trello menu and click on the
icon next to the Maprosoft power up button.


THE KINGDOM II (Riget II)
Denmark. 1997. Directors - Morton Arnfred & Lars von Trier, Teleplay - von Trier, Tumas Gislason & Niels Vorsel, Photography - Erik Kress, Music - Joachim Holbeck, Special Effects - Lars Holding Andersen & Arnette Rolfshoj, Makeup Effects - Kim & Lis Olsson, Production Design - Jette Lehmann & Mans Cmr. Lindholm. Production Company - DH TV/Danish Broadcasting Corporation/Zentropa Entertainment. Ernst Hugo Jaregard (Dr Stig Helmer), Holger Juul Hansen (Dr Einar Moesgaard), Kirsten Rolffes (Sigrid Drusse), Soren Pilmark (Kroshoj), Peter Mygind (Mogge Moesgaard), Birgitte Raaberg (Judith), Ghita Norby (Rigmor), Udo Kier (Little Brother/Dr Aage Krueger), Jens Okking (Bulder Drusse), Erik Wedersoe (Ole), Ole Boisen (Christian), Louise Fribo (Sanne), Baard Owe (Professor Bondo), Vita Jensen & Morten Rotne-Leffers (Dishwashers), Henning Jensen (Bob), Birthe Neumann (Mrs Svendsen)
Plot: At The Kingdom hospital in Copenhagen, Stig Helmer returns from Haiti with a potion with which he intends to turn his rival Kroshoj into a zombie but this goes astray and Stig must find and revive Kroshoj's corpse before he is arrested for murder. Meanwhile Judith, having been impregnated by the ghost of Dr Aage Krueger, has given birth to a freak baby which has an adult's head, a giant elongated body and a soul that is half-human, half-Devil, and is now wanted by Aage Krueger who is in reality Satan.
The 1994 Danish four-part tv mini-series `The Kingdom' was given a cinematic release in arthouse theatres in English-speaking countries where it was split into two two and-a-half hour parts. There the name of co-director Lars von Trier, then riding high on the success of 1991's Cannes hit `Zentropa' aka `Europa', was sufficient to carry it to audiences. The result was a delightfully eccentric piece of black comedy that suggested a head-on collision between `Twin Peaks' and `ER'. The series however was left unfinished, ending on the cliffhanger of the birth of the ghost-impregnated baby and a `to be continued' credit. But true to their word von Trier, co-director Morton Arnfred and the entire cast return here three years later to continue the saga, which once again aired as a four-part mini-series in Denmark and has elsewhere been released as a theatrical two-parter.
However `The Kingdom II', although not unenjoyable, is a relative disappointment over its predecessor. There is a certain ricketiness to the story. It comes with the distinct sense that von Trier and Arnfred are not so much continuing a story that is waiting to be completed than they are fairly much making the saga up as they go along. Many aspects of the original have undergone noticeable changes. The character of Dr Aage Krueger (played by Udo Kier) goes from the shadowy figure of a doctor who killed a young girl in the first mini-series to now become The Devil himself; the ghost ambulance from the first mini-series is now unconvincingly passed off as being a group of med students conducting daredevil bets. And the pivotal character of Mary, the ghost of the little girl that haunted the hospital in the first mini-series, is almost entirely dropped from the sequel bar a token dream appearance. Further the tone of the second series seems to have changed somewhat - with the sidelining of the character of Mary and the sequel's principal concentration on the more mundane fates of the various lead characters, the series loses much of the eerie sense of otherworldliness that hovered over the first series.
This series at times feels overly long but it is largely carried by its sense of black comedy. Chief among which is Ernst Hugo Jaregard's hilarious performance once again as the conniving, disgruntled Swedish surgeon. There are some highly amusing scenes in his ongoing battles to avoid bailiffs or in mixing up which coffee cup he has placed a voodoo potion in during a staff conference or his plans to zombify his rival which keep going wrong. Birthe Neumann has an extremely funny part as an overly efficient secretary, who, after the decision that costs must be kept down by buying low denomination stamps, pops up to ask whereabouts on a letter entirely covered by stamps she is meant to place the address. Although the most hysterical sequence in the entire film is the character of a Jamaican faith healer who wanders in to heal a concussed Kirsten Rolffes and removes a large clump of bloody tissue from the back of her head and eats it, noting "It's the next best substitute since they took the Vitamin C out of Danish beer."
The biggest downside to the sequel is the end credit `to be continued' and the realization that one has sat through another five hours with no end in sight and that this means another three years and another five hours to wait for the saga to be wrapped up, if that.
Reviewed at the 1998 Wellington International Film Festival Copyright Richard Scheib 1998
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


Overview
The mission of this project is to provide an authenticated database that can service multiple blockchain needs, and will be included with a way to implement in different data structures.
Blockchains utilize authenticated data structures, like the Patricia Merkle Trie, extensively to preserve immutability of their individual chains. These data structures can differ from chain to chain, but share a common optimization problems, and are built as bolt-on versions of NoSQL databases like levelDB. By building on top of current databases, these authenticated data structures are unable to take full advantage of the system and suffer from performance issues (slow reads and writes).
This system has previously been implemented with binary Tries in the Urkel database, which resulted in up to 100x performance increases over the current system in terms of reads, writes, and storage footprint.
We intend to expand on the same line as the Urkel database and create a generalized implementation of Sparse Merkle Tree that can be used to implement Tries, Red-black, BSTs, and many other tree-based structures.
Checkout the project!


Back to ObjectJ examples
Align Fluorescence Channels
| Author: |
Norbert Vischer (vischer -at- science.uva.nl)
|
| History: |
2012-Nov-21: First version
|
| Source: |
AlignFluorChannels.txt
|
| Description: |
Repairs displacement of fluorescence channels in bacterial images.
Channel #1 (phase contrast) is used as reference.
|
| Features |
- Manual operation: drag cell outlines to match fluorescence pattern
- Automatic operation: FFT correlation
- Batch proceccing: process all hyperstacks in a folder
- Numerical output: table of displacements
|
Macro Commands:
Show Outlines [1]
Displays outlines derived from channel 1 of current frame as selection. This can manually be dragged
so it matches the fluorescence pattern. Use Edit: Select None to remove selection.
Align [2]
Translates current channel depending on
Save As PNG with Transparent Background [3]
Programs like PowerPoint will honor transparency of .PNG images. See also New Demo Stack. For adding shadow in PowerPoint, choose Format>Picture>Shadow
GlassWindow in ObjectJ
GlassWindow is an extension to the ObjectJ plugin. It allows to mark and snap
any underlying live image that is displayed by a foreign application. Markers
appear both on the glass window and on the currently linked stack that can
receive any number of snapshots.
Applications include:
- Marking live images provided by any camera acquisition program
- Marking movies from any source, and only store those frames that are relevant
Macro Commands:
Show GlassWindow
Shows the GlassWindow whose size and position can be adjusted to cover the underlying live image.
Connect New Stack
Creates a stack of same size as the GlassWindow for receiving snapshots.
Update Snapshot
In the connected stack, the current snapshot is refreshed.
Append Snapshot
A new snapshot is appended to the connected stack.
Toggle Visibility Range
Toggles between these two cases:
a) markers are only visible if their home slice is selected
b) all markers from all stack slices are visible (shining through).
The visibility range has effect on the glass window and all linked images.
Make Perspective [2]
Uses current (hyper)stack to create perspective montage
Programs like PowerPoint will honor transparency of .PNG images. For adding shadow in PowerPoint, choose Format>Picture>Shadow
My long description about how to indent this piece of text. We can continue on and on and on, until some line break is involved
Fig 1: Demo stack and geometric properties
Fig 2: Neuron (IJ sample image) shown in PowerPoint with soft shadow
Create Demo Stack [1]
Create Demo Stack [1]
Create Demo Stack [1]
|Back to ObjectJ examples


This module allows you to configure your system as a client for an LDAP server,
which provides Unix users and groups to multiple systems on a network. LDAP
is a convenient way of sharing accounts between systems, especially those
that share home directories using NFS.
LDAP can also be used to share internet services, host addresses, netgroups
and other information. However, as these are typically static or provided by
DNS, these capabilities are rarely used.


{% extends "base-sec.html" %} {% block content %} {% include 'order/order_summary_short.html' with order=order %}
Please print for your records


ATS provides job posting features to help you get more candidates. Each job ads appears on your own career site, Karirpad's job board, and over 750 media partners around Indonesia. So you shouldn't worry about getting the best candidate for each position.
ATS helps recruiters sorting candidates quickly according to the requirements of the position. Thus you will have your own talent pool and can make offers to candidates based on specific keyword searches.
Create and customize your recruitment flow. Recruiters can track and see the history of each recruitment process, so there is no double processing of candidates.
The feature assists to collecting, preparing and reviewing summary reports from the whole database for recruiter in the specific period.
Special menu for recruiters to input data manually from referrals from employees.
Candidates will apply your job ads through various channels which will be directed to your career site. You can use this to build your own database of candidates.


This document describes how to create and use sequence graphs, histograms, and plots in your own simulations. The Sugar Scape, Mouse Trap, and JinGirNew models each contain examples of charting, and can be used in conjunction with this document.
Charting in Repast is done through four classes:
Use the OpenSequenceGraph class to create, naturally enough, a sequence graph (some user defined values plotted versus time). NetSequenceGraph is similar but contains methods for easily plotting well-know network statistics vs. time. OpenHistogram is used to create a histogram whose bin ranges are dynamic, and Histogram to create a traditional standard histogram. The final class Plot can be used to plot any number of points on a graph and is usefull for plotting the results of a function where the input to that function is some simulation generated data. In additional you can zoom in on all five of these types of graphs. Details on each type follow below.
An OpenSequenceGraph will plot some user defined variable(s) versus time, that is, versus the tick count. Using an OpenSequenceGraph consists of creating an OpenSequenceGraph object, adding Sequences to it, scheduling updates on it, and displaying it. Creating a OpenSequenceGraph is well covered in the API docs and in the demonstration simulations.
A Sequence is an interface that you must implement and it serves as the source for the data to be plotted. It has a single method public double getSValue(). An OpenSequenceGraph works by calling the getSValue() method on all the Sequences it contains and plotting the returned value vs. the current tick count. A single OpenSequenceGraph can contain multiple Sequences. An example:
OpenSequenceGraph graph = new
OpenSequenceGraph("Agent Stats.", this);
graph.setXRange(0, 200);
graph.setYRange(0, 200);
graph.setAxisTitles("time", "agent attributes");
class AverageAge implements Sequence {
public double getSValue() {
double totalAge = 0;
for (int i = 0; i < agentList.length; i++) {
Agent a = (Agent)agentList.get(i);
totalAge += a.getAge();
}
return totalAge / agentList.length;
}
}
graph.addSequence("Avg. Age", new AverageAge());
graph.addSequence("Avg. Vision", new Sequence() {
public double getSValue() {
double totalVision = 0;
for (int i = 0; i < agentList.length; i++) {
Agent a = (Agent)agentList.get(i);
totalVision += a.getVision();
}
return totalVision / agentList.length;
}
});
This creates a OpenSequenceGraph labeled "Agent Stats." and
associates it with the model referenced by "this". The
initial range of the x and y axes are set and are given titles. Two
Sequences are then added to this graph. The first is created as a
non-anonymous inner class and computes the average age. The second is
created as an anonymous inner class and computes the average vision.
They are added with appropriate labels and the SequenceGraph will take
care of creating the appropriate legends for them. The methods used to
add sequences above, that is, addSequence(String name, Sequence
sequence)
is just one version of the addSequence method. There
are others that allow you to set the color and point type of the
sequence. In addition, there are also methods that will create and add
a Sequence for you given an object reference and the name of a method
to call on that object. See the API docs
for details.
In order to update a SequenceGraph, you need to call its step() method. Typically this call would be scheduled every tick or at some interval. When this step() method is called on an OpenSequenceGraph it will call the getSValue method on all its Sequences and plot the results. See How to Use a Schedule for more information on scheduling method calls for execution.
An OpenSequenceGraph is displayed by calling its display() method. This is typically done in a model's begin() method. You can also write the plotted data out to a file in tabular format with a OpenSequenceGraph's writeToFile() method.
The NetSequenceGraph is very similar to the OpenSequenceGraph: you can add your own sequences the manner described above and the graph itself is updated in the same way. (So if you haven't looked at the docs above for OpenSequenceGraph, you should.) However, NetSequenceGraph has some additional methods for plotting sequences of common network statistics such as density, component count and so forth. You can choose which of these "pre-canned" statistics to plot either through code or through the gui.
In code, for example,
graph = new NetSequenceGraph("Network Stats", this, agentList);
graph.setAxisTitles("Time","Statistic Value");
graph.setXRange(0, 50);
graph.setYRange(0, numNodes);
graph.plotDensity("Density", Color.blue, graph.SQUARE);
graph.plotComponentCount("Component Count", Color.green, graph.SQUARE);
graph.plotClusterCoefficient("Cluster Coef.", Color.red, graph.SQUARE);
The constructor to a NetSequenceGraph takes a title for the plot, a reference to the model, and a list of the agents, that is, network nodes. The next three lines do some setup on the graph and are identical to their OpenSequenceGraph counterparts. The last three tell the graph to plot three network statistics, density, component count, and the cluster coefficient. In each case, the method takes three arguments, a legend, the color to plot the sequence with and the point type to plot the sequence with. The various plot* methods have also have versions with less arguments that use default values so you needn't specify the color or point style if you don't want to. See the API docs for more info.
To have the graph plot network stats via the gui, you'll need to create the graph and display it as described above. Once it is displayed you can click on the setup tab and add network stats via the gui.
Note that we are currently working on the robustness of these statistics. They should be used only as guides. The actual statistical analysis of your network should be done using established tools.
The OpenHistogram class represents a dynamic bar chart, and allows the user to histogram data generated by a collection of objects. The histogram range, as displayed on the screen, is [lowerBound, maxValue] where the maxValue is calculated each time the graph is stepped. The individual bin ranges except for the final bin are [Math.floor(value), Math.ceil(value + interval)) where interval is calculated by (maxValue - lowerBound) / numBins. The final bin is inclusive at the top end. Note that the individual bin ranges are dynamic and as such there is never any under- or overflow. Histogram (see below) can be used for a more traditional histogram where the bin ranges are static.
Using an OpenHistogram is much the same as an OpenSequenceGraph. The OpenHistogram is created, histogram items (i.e. the collection of bins) are created via the OpenHistogram, its updates are scheduled, and it is displayed. The creation of an OpenHistogram is well covered in the API documentation, and in the demonstration simulations.
HistogramItems are the individual set of bins displayed by a Histogram. For example, you may have one set of bins that displays a histogram of agents' wealth and another that displays an environment's resources. HistogramItems are created created via an OpenHistogram's createHistogramItem(String name, List list, BinDataSource source) method. The name argument here merely tags and displays this HistogramItem with this name. The remaining two arguments provide the source of the data for the histogram as well as a means for getting that data.
The mechanics of an OpenHistogram update are as follows. For each HistogramItem contained by the OpenHistogram, that HistogramItem iterates over the list specified when the HistogramItem was created (via Histogram.createHistogramItem) passing each Object in the list as an argument to the getBinValue method of the BinDataSource. This getBinValue method returns a double. All these doubles are then distributed across the bins according to the number of bins, the lower bound, and the maximum value. For example, given 2 bins, a lower bound of 0 and a maximum value of 4. The first bin will contain all the values from 0 up to but not including 2, and the final bin will contain all the values from 2 up to and including 4. The displayed bin value (i.e. the height of the bar in the chart) is the number of values that fall within this bin.
A BinDataSource is an interface with a single method getBinValue(Object o) that must be implemented by the modeler. As mentioned above the Object o passed into the getBinValue method is an Object from the List of objects passed in with OpenHistogram's createHistogramItem method. Each object in the list will be passed to this getBinValue method during an update. The following example from SugarModel.java should help to make things clear.
bar = new OpenHistogram("Agent Wealth Distribution", 10, 0);
bar.setYRange(0, 100.0);
BinDataSource source = new BinDataSource() {
public double getBinValue(Object o) {
SugarAgent agent = (SugarAgent)o;
return agent.getSugar();
}
};
bar.createHistogramItem("Wealth", agentList, source);
This creates a new OpenHistogram called "Agent Wealth Distribution" that contains 10 bins and lower bound of 0. The initial range of the y axis is set as 0 - 100. The x range is automatically set dependent on the number of bins, and what is being histogrammed. The BinDataSource source merely returns the amount of sugar that the SugarAgent passed into the getBinValue method has. A HistogramItem called "Wealth" that gets its data using the objects in agentList and the BinDataSource soure is then created. The effect here is to create 10 bins. Each bin will display how many agents have an amount of sugar within the range specified by that bin. The actual mechanics here is to iterate over every agent in agentList, passing each agent to the getBinValue method in the BinDataSource "source" which then returns the amount of sugar that agent has. The max value of these amounts determines the range of each bin by taking the max value - lower bound (in this case 0) and dividing it by the number of bins. The amount values are then placed into the appropriate bin, and the number of amount values in that bin is the height of the bar when the bin is displayed.
OpenHistogram also contains methods to create a BinDataSource while creating the HistogramItem, given an object reference and the method name to call on that object. The method here is functions in place of the getBinValue(Object o) method of a BinDataSource, and thus it should taken an Object as a parameter and return a numeric value.
Like an OpenScheduleGraph an OpenHistogram is updated using its step() method. Typically this call would be scheduled every tick or at some interval. When this step() method is called on an OpenHistogram the OpenHistogram is updated via the HistogramItems as described above. See How to Use a Schedule for more information on scheduling method calls for execution.
An OpenHistogram is displayed by calling its display() method. This is typically done in your models begin() method.
The Histogram class represents a dynamic bar chart and allows the user to histogram data generated by a collection of objects (such as the list of agents in your model). It differs from OpenHistogram in that its bin sizes are static, and thus there is the potential for over- and underflow. The histogram range is [lowerBound, maxValue] and the individual bin ranges are [Math.floor(value), Math.ceil(value + interval)) where interval is calculated by (maxValue - lowerBound) / numBins. Note that, unlike OpenHistogram, maxValue is not recalcuated each step, but is a value provided by the modeler.
Using a Histogram is nearly identical to using an OpenHistogram. The Histogram is created, a HistogramItem (i.e. the collection of bins) is created via the Histogram, its updates are scheduled, and it is displayed. The creation of a Histogram is well covered in the API documentation, and in the JinGirNew demonstration simulation.
The mechanics of a Histogram are identical to that of an OpenHistogram as is the creation of HistogramItems. See above, under OpenHistogram for the details, as well as for applicable examples. However, only a single HistogramItem can be created with a Histogram.
A Histogram will also report over- and underflow by default as well as the mean and rms for the histogram. This can be turned off with the setStatsVisible(boolean val) method. The actual histogramming of data is performed by the colt library's Histogram1D class. This class provides a variety of methods for working with a one dimensional histogram. See the API docs for Histogram1D for the details. You can get a reference to Histogram's underlying Histgram1D using Histogram's getHistogram method.
The plot class is a generic point plotting class and can be used to plot multiple points, e.g. plotting a function whose input is some simulation data. Use the plotPoint method to plot the points, updateGraph to display those points, and clear to clear the graph of all the points. For example:
Plot aPlot = new Plot("Test Plot");
aPlot.display();
aPlot.setConnected(true);
for (double i = 0; i < 100; i++) {
aPlot.plotPoint(i, Math.sin(i), 0);
}
aPlot.updateGraph();
aPlot.plotPoint(3.0, 4.0, 1);
aPlot.plotPoint(5.0, 1.4, 1);
aPlot.fillPlot();
This creates a new Plot entitled "test plot" and then displays it. Calling setConnected(true) ensures that any plotted points will be connected. A sin wave is then plotted using plot point, the graph is updated with updateGraph() which will actually display the previously plotted points. A new series of points is then plotted and fillPlot() is called. fillPlot() will shrink the range of the axises so that the plotted points just fit and automatically update the graph. See the API docs for more information.
You can zoom by left clicking with the mouse and drawing a box around the portion of the graph you wish to zoom. Drawing the box by left dragging will zoom in, right dragging will zoom out. You can return the initial pre-zoom state by pressing the 'r' key.
With Repast 2.0, there is provisional support for creating your own charts using a GUI chart builder. Click on the create / edit charts button and follow the dialog prompts.


"I know I'm not the center of the universe but you keep spinning 'round me just the same"
For this sprite animation, I decided to do a more literal approach for the lyrics. I made a planet that is not centered within the square as well as within the orbit. The burgundy colored circle circles the planet.


Olivier Moitroux
Belgian engineer in computer sciences, Junior Entrepreneur at free time, ai/tech dreamer and enthusiastic diver.
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Last update: 25th January 2020