Letters Guessed:
Current Spin
Guessing a vowel costs $250. No points are rewarded for guessing a vowel.


- calcNewPath() - Method in class botLot.BotLot
-
- calcNewPath(LotNode) - Method in class botLot.BotLot
-
Calculates a new path to the given node using the functions in the BotLotWorkers class.
- calcNewPath(String) - Method in class botLot.BotLot
-
Calculates a new path to the given node using the functions in the BotLotWorkers class.
- calcNewPath(int) - Method in class botLot.BotLot
-
Calculates a new path to the given node using the functions in the BotLotWorkers class.
- calcNewPathGivePath() - Method in class botLot.BotLot
-
Calculates a new path using the data and returns it.
- calculatePath() - Method in class botLot.pathFinding.Algorithms.BotLotPFAlgorithm
-
Put the actual path finding code here, already checked for object readiness.
- calculatePath() - Method in class botLot.pathFinding.Algorithms.BotLotPFDijkstra
-
- calculatePath() - Method in class botLot.pathFinding.Algorithms.BotLotPFRandom
-
- checkFileLocation(String, boolean) - Static method in class botLot.dataSource.BotLotXMLDS
-
Checks if the given file location is valid.
- checkNodeEdges(LotNode) - Method in class botLot.lotGraph.LotGraph
-
Checks if the edges held by the node are valid.
- checkNodeEdges(Collection<LotNode>) - Method in class botLot.lotGraph.LotGraph
-
Checks if all the nodes in the collection have valid edges.
- clearAtts() - Method in class botLot.lotGraph.LotEdge
-
Clears all attributes from this edge.
- clearCurNode() - Method in class botLot.BotLot
-
Clears the current node.
- clearCurPath() - Method in class botLot.BotLot
-
- clearDestNode() - Method in class botLot.BotLot
-
- clearEdges() - Method in class botLot.lotGraph.LotNode
-
Clears the edge list.
- clearEdgesToAvoid() - Method in class botLot.pathFinding.Algorithms.BotLotPFAlgorithm
-
Clears the list of edges to avoid..
- createEdge() - Method in class botLot.lotGraph.LotGraph
-
A simple method to return a new edge with a unique ID, used to give the
other createEdge() functions a standard new edge.
- createEdge(LotNode) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node.
- createEdge(String) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node.
- createEdge(int) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node.
- createEdge(LotNode, LotNode) - Method in class botLot.lotGraph.LotGraph
-
Creates a new edge, adds it between two nodes, and
returns the new edge.
- createEdge(String, String) - Method in class botLot.lotGraph.LotGraph
-
Creates a new edge, adds it between two nodes, and
returns the new edge.
- createEdge(int, int) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge, puts it between two nodes, and
returns the new edge.
- createEdgeGiveId(LotNode) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the id.
- createEdgeGiveId(String) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the id.
- createEdgeGiveId(int) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the id.
- createEdgeGiveId(LotNode, LotNode) - Method in class botLot.lotGraph.LotGraph
-
Creates a new edge between two nodes, and
returns the new edge's Id.
- createEdgeGiveId(String, String) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge, puts it between two nodes, and
returns the new edge ID.
- createEdgeGiveId(int, int) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge, puts it between two nodes, and
returns the ID.
- createEdgeGiveIndex(LotNode) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the index of it.
- createEdgeGiveIndex(String) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the index of it.
- createEdgeGiveIndex(int) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the index of it.
- createEdgeGiveIndex(LotNode, LotNode) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the index of it.
- createEdgeGiveIndex(String, String) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the index of it.
- createEdgeGiveIndex(int, int) - Method in class botLot.lotGraph.LotGraph
-
Creates an edge going out from a given node, and returns the index of it.
- createEdgeTo(LotNode) - Method in class botLot.BotLot
-
Creates an edge to the given node.
- createEdgeTo(String) - Method in class botLot.BotLot
-
Creates an edge to the given node.
- createEdgeTo(int) - Method in class botLot.BotLot
-
Creates an edge to the given node.
- createEdgeToGiveId(LotNode) - Method in class botLot.BotLot
-
Creates an edge to the given node and returns it's ID.
- createEdgeToGiveId(String) - Method in class botLot.BotLot
-
Creates an edge to the given node, and returns it's id.
- createEdgeToGiveId(int) - Method in class botLot.BotLot
-
Creates an edge to the given node and returns its ID.
- createNode() - Method in class botLot.lotGraph.LotGraph
-
- createNodeGiveId() - Method in class botLot.lotGraph.LotGraph
-
- createNodeGiveIndex() - Method in class botLot.lotGraph.LotGraph
-
- curNode - Variable in class botLot.BotLot
-
the node we are currently at in the graph.
- curNode - Variable in class botLot.pathFinding.Algorithms.BotLotPFAlgorithm
-
The node we are starting at.
- curNodeHasEdge(LotEdge) - Method in class botLot.BotLot
-
Determines if the current node has a specified edge.
- curNodeHasEdge(String) - Method in class botLot.BotLot
-
Determines if the current node has an edge with a specified Id.
- curNodeHasEdge(int) - Method in class botLot.BotLot
-
Determines if the current node has an edge with a specified index.
- curNodeHasEdges() - Method in class botLot.BotLot
-
- curPath - Variable in class botLot.BotLot
-
The current path to the node we are trying to get to.
- curPathIsValid() - Method in class botLot.BotLot
-
Checks the continuity of
BotLot.curPath
, and if it matches up with where we are, and where we want to go.


Demonstrates:
With BWU Datagrid, you can still have rich, complex cells rendered against the actual DOM nodes while still preserving
the speed and responsiveness.
This is achieved through async background post-rendering.
BWU Datagrid exposes a asyncPostRender property on a column which you can use to set your own function that will
manipulate the cell DOM node directly.
The event is fired one by one for all visible rows in the viewport on a timer so it doesn't impact the UI
responsiveness.
You should still make sure that post-processing one row doesn't take too long though.
BWU Datagrid will figure out what and when needs to be updated for you.
The example below is a list of 500 rows with a title and 5 integer cells followed by graphical representation of
these integers.
The graph is drawn using a CANVAS element in the background.
The grid is editable, so you can edit the numbers and see the changes reflected (almost) immediately in the graph.
The graph cell behaves just like an ordinary cell and can be resized/reordered.
The graphs themselves are created using the BWU Sparkline library.
View Source:


Rendering Large Datasets With AngularJS
Filter Data
:
— Filtering
{{ vm.form.filter }}
over {{ vm.dataPoints }} data points, {{ vm.visibleCount }} found.
Unmount Grid
Remount Grid
{{ row.id }}
{{ item.value }}


B&K HomieBank
Bank Account
Register new account
firstname
lastname
Initial amount
Save
Deposit
Add
Deposit or withdraw
Withdraw
withdraw
Account Name:
Your Account Balance is:


Toggle navigation
Twitter
♥
BigQuery
Home
Rules
Admin
Add Rule
PowerTrack Rules
Add or remove rules to your stream to update data piped to BigQuery.
Tag
Rule
Actions
×
Add Rule
Tag
Rule


|
HADS Project
0.1.0-alpha
Proyecto de la asignatura HADS usando Azure y .NET Web Forms en C#.
|
Static Public Member Functions | |
| static void | RedirectWithData (Dictionary< string, object > data, string url) |
| Redirect to page using POST method More... | |
Properties | |
| static string | UrlRoot [get] |
| Gets the base part of the URL 'http://www." More... | |
| static string | VirtualPath [get] |
| Returns the Virtual Path. More... | |
| static string | ApplicationFolder [get] |
| Contains the child folder portion of the path. More... | |
Definition at line 9 of file UrlUtils.cs.
|
static |
Redirect to page using POST method
| data | The parameters being passed |
| url | The url to redirect |
Definition at line 70 of file UrlUtils.cs.
|
staticget |
Contains the child folder portion of the path.
Definition at line 46 of file UrlUtils.cs.
|
staticget |
Gets the base part of the URL 'http://www."
Definition at line 14 of file UrlUtils.cs.
|
staticget |
Returns the Virtual Path.
The path will start and end with a /
Definition at line 26 of file UrlUtils.cs.


${require('./partials/head.html')}
${require('./partials/browserupgrade.html')}
${require('./partials/header.html')}
heroes
bettering our systems of care, together.
Learn more
${require('./partials/about.html')}
${require('./partials/services.html')}
${require('./partials/scholarships.html')}
${require('./partials/clients.html')}
${require('./partials/team.html')}
${require('./partials/testimonials.html')}
${require('./partials/contact.html')}
${require('./partials/footer.html')}


Badges are used to provide additional information about something. In MobileUI you can create a card using base classes.
If you have installed any component, the base classes are already installed. Otherwise run the command:
mobileui install base
You can combinate this component with others, example a list.


#} {# The “Climate Smart Villages for improved food & nutrition security in Char and Haor regions, the two most vulnerable fragile eco-systems of Bangladesh” project is being implemented by our partner NGOs – FIVDB and MMS in 50 villages of the Netrokona and Sirajganj districts of Bangladesh.#} {#The main focus of PCSV information system is to Geo-mapping and marking of the key characteristics of this individual villages that will include and not limited to mapping the land parameters, climate change vulnerable zone, infrastructure, land use, cropping pattern, constraints- challenges of community and detail adaptation strategy for the village mark all the villages under the project area and identify their problems related to livelihood, profession, cultural standard of living.#} {#
#} {# #} {# #} {#


Theme 1
Theme 2
Theme 1
Theme 2
Demo of Atomic Blueprint CSS Design (ABCD)
Theme 1
Theme 2
Theme 1
Theme 2
Prev
1
2
Next


Text
Table
Timechart
Timechart visjs
Timechart with -last
Timechart with time range overlay
Timechart with runtime message
Barchart
Piechart
Scatterchart
File
Tile
Less
Markdown
Highchart


Amazon GuardDuty Filter FindingCriteria
The
FindingCriteria
property type specifies the attributes to be used in the filter
and the conditions to be applied to the selected attributes for filtering through
your GuardDuty
findings.
FindingCriteria
is a property of the AWS::GuardDuty::Filter resource.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
Properties
Criterion
-
Specifies the finding attributes (for example, region, type, severity, etc.) that you want to include in the finding criteria for a filter.
Required: No
Type: Json
Update requires: No interruption
ItemType
-
Specifies the condition to be applied to a single field when filtering through findings.
Required: No
Type: Condition
Update requires: No interruption


Null and Boolean
---
A null: null
A null: ~
Also a null: # Empty
Not a null: ""
Booleans: [ true, True, false, FALSE ]
Numbers and timestamps
---
Integers: [ 0, -0, 3, 0o7, 0x3A, -19 ]
Floats: [ 0., -0.0, .5, 12e03, +12e03, -2E+05 ]
Also floats: [ .inf, -.Inf, +.INF, .NAN ]
Timestamps:
canonical: 2001-12-15T02:59:43.1Z
iso8601: 2001-12-14t21:59:43.10-05:00
spaced: 2001-12-14 21:59:43.10 -5
date: 2002-12-14
times:
- 10:53
- 10:53:20.53
Strings
---
product: High Heeled "Ruby" Slippers
description: "Putting on these \"slippers\" is easy."
address:
city: East Centerville
street: !!str |
123 Tornado Alley
Suite 16
specialDelivery: >
Follow the Yellow Brick
Road to the Emerald City.
#Pay no attention to the
man behind the curtain.
Sequences and maps
---
- Casablanca
- North by Northwest
- {
name: John Smith, age: 33}
- name: Mary Smith
age: 27
---
"name": John Smith
age: 33
men: [ John Smith,
"Bill Jones" ]
women:
- Mary Smith
- "Susan Williams"
Tags
---
!!map {
? !!str friends: !!seq [
!!map {
? !!str "age"
: !!int 33,
? !!str "name"
: !!str "John Smith",
}
],
men:
[ !!str "John Smith", !!str "Bill Jones"]
}
Full example
%YAML 1.2
--- !<tag:clarkevans.com,2002:invoice>
invoice: 34843
date : 2001-01-23
bill-to: &id001
given : Chris
family : Dumars
address:
lines: |
458 Walkman Dr.
Suite #292
city : Royal Oak
state : MI
postal : 48046
ship-to:
<<: *id001
product:
- sku : BL394D
quantity : 4
description : Basketball
price : 450.00
- sku : BL4438H
quantity : 1
description : Super Hoop
price : 2392.00
tax : 251.42
total: 4443.52
comments:
Late afternoon is best.
Backup contact is Nancy


Use Wishi extension to add clothes to your closet from any page
Go to Wishi for awesome styling from your own closet


| Brevient Technologies,
Inc. |
| Product: |
Brevient Connect
|
| Description: |
A Web-based conferencing center and Peer-to-Peer (P2P) solution
built on the Java (TM) 2 Platform, Enterprise Edition (J2EE) platform illustrating JXTA technology. It facilitates world-wide online meetings,
workgroups, synchronized demonstrations and more.
|
| System Requirements: |
System Requirements
- Windows (95, 98, ME, 2000, NT, XP), Solaris, Linux, Unix, Mac OSX, or
other Java enabled platform
- RAM: 128MB
- 200MHz Pentium class computer
|
| Availability & Pricing: |
Available now for Windows, Unix/Linux systems,
and Macintosh.
Pricing
|
| Target Markets: |
business executives, training managers, and wide spread sales
forces from all industries
|
| Contact: |
Brevient Technologies, Inc.
231 E. Buffalo St., First Floor
Milwaukee, Wisconsin 53202
Toll free: 1.866.486.4524
(ph)<PHONE_NUMBER>
(f)<PHONE_NUMBER>
E-mail: Dave Santangelo at<EMAIL_ADDRESS>|
| Website: |
www.brevient.com |
|


Python Scripts
GPUE provides a number of python scripts in the py/
directory.
This page explains what each script is and its intended use.
As a note: GPUE is primarily a simulation program. Data analysis of this nature must be done on a case-by-case basis, and as such, these scripts only intend to provide basic functionality for plotting the output wavefunction and additional variables. If more advanced functions are required, please create these on your own or discuss them with us on GitHub
plot.py
This file is a stand-alone plotting script for 2 dimensional data and can be run like so:
python plot.py i wfc g 256 256 r 0 1000 100 d data
This will plot the wavefunction from imaginary-time evolution using a grid of 256x256 from values 0 to 1000 in steps of 100.
Obviously, the code requires these data files to exist in the data
directory before plotting.
The script will default to plotting only a single 512x512 data file from the data
directory if no gridsize, range, or directory is provided.
All 2 dimensional variables can be plotted in this way.
If real-time dynamics are desired, simply use the wfc_ev
flag instead of wfc
.
gen_data.py
This file is a list of functions necessary to analyze 3 dimensional data, and an example of how it might be used can be found in the vis_scripts.py
file.
Here are the primary functions and their intended usage:
wfc_density(xDim, yDim, zDim, data_dir, pltval, i)
This function outputs an item
that corresponds to the wavefunction density.
This item
can be turned into a .bvox
or .vtk
file with the to_bvox()
and to_vtk()
functions described later.
The pltval
argument can read either wfc
for imaginary-time evolution or wfc_ev
for real-time evolution.
wfc_phase(xDim, yDim, zDim, data_dir, pltval, i)
This function outputs an item
that corresponds to the wavefunction phase.
This item
can be turned into a .bvox
or .vtk
file with the to_bvox()
and to_vtk()
functions described later.
The pltval
argument can read either wfc
for imaginary-time evolution or wfc_ev
for real-time evolution.
proj_phase_2d(xDim, yDim, zDim, data_dir, pltval, i)
This slices the wavefunction along the z-axis and outputs the phase as a wfc_ph_i
file, where i
corresponds to the value read into this function.
The pltval
argument can read either wfc
for imaginary-time evolution or wfc_ev
for real-time evolution.
This file can be plotted with plot.py
, for example.
proj_2d(xDim, yDim, zDim, data_dir, pltval, i)
This slices the wavefunction along the z-axis and outputs the density as a wfc_i
file, where i
corresponds to the value read into this function.
The pltval
argument can read either wfc
for imaginary-time evolution or wfc_ev
for real-time evolution.
This file can be plotted with plot.py
, for example.
var(xDim, yDim, zDim, data_dir, pltval)
This function outputs an item
that corresponds to the variable to be plotted.
This item
can be turned into a .bvox
or .vtk
file with the to_bvox()
and to_vtk()
functions described later.
The pltval
argument can be any existing file in the data_directory that is formatted for 3 dimensional output.
proj_var2d(xdim, yDim, zDim, data_dir, pltval, file_string)
This slices the 3 dimensional variable along the z-axis and outputs the phase as a file with the name file_string
This file can be plotted with plot.py
, for example.
proj_var1d(xdim, yDim, zDim, data_dir, pltval, file_string)
This slices the 3 dimensional variable along the z and y axes and outputs the phase as a file with the name file_string
This file can be plotted with any standard plotter, like gnuplot.
to_bvox(item, xDim, yDim, zDim, nframes, filename)
This takes an item
output from the wfc_phase()
, wfc_density()
, or var()
functions and turns it into a .bvox
file with name filename
to be read by blender.
The nframes
function corresponds to the number of frames blender will plot.
For almost all cases, this should be 1.
The .bvox
file can be used further with the visualize_3d.py
file.
to_vtk(item, xDim, yDim, zDim, data_dir, filename)
This takes an item
output from the wfc_phase()
, wfc_density()
, or var()
functions and turns it into a .vtk
file with name filename
to be read by blender.
This can be directly read into 3 dimensional plotters like Paraview and is the preferred method to visualize data in 3 dimensions.
visualize_3d.py
This file works with the blender bpy library to create a 3 dimensional image from a .bvox
file and the voxelfile
and outfile
must be modified depending on the file input and output.
It is run with the following command:
blender -b -P visualize_3d.py
To open up the blender GUI with the density plotted, run:
blender -P visualize_3d.py
en.py
This is an example script of how to find the energy of a 2 dimensional simulation from GPUE.
As a note, this functionality is already completely implemented in GPUE by outputting the energy every timestep with the -E
flag; however, this script provides an example of how this can be done with python.
vort.py
This file enables ordering and trajectory calculation of the vortices that are output from GPUE. All available vort_arr_XYZ
files are loaded from the GPUE simulation output, and a linked-list data-structure is create, wherein each vortex is assigned a unique ID (uid
). These uid
values are then ordered and swapped between subsequent timesteps to the most-likely candidate after each time-step of evolution. The resulting data, once ordered, is then output into a new file format vort_ord_XYZ.csv
, with each vortex uid
constant over the time-series. This allows for the creation of vortex trajectories, as is perfomed by matlab/vtxTrajectory.m
. Some additional details are also given on the 2D GPUE functionality page.
A typical workflow of involving this file is as follows:
gpue <simulation parameters>
cd <data_directory>
python py/vort.py
mpi_vis.py
This script enables MPI-distributed wavefunction density generation for 2D data only. $|\Psi|^2$ is plotted over all available timesteps, and is distributed using mpi4py. To ensure this works, mpi4py MUST be built against the MPI library running on the local machine (be it a laptop, or a supercomputer). Some useful instructions on this are provided by NERSC under the “Building MPI4PY” subtitle.
Once set-up, this script can be run to generate images both with and without the colour-bar, and enumerating the specific vortices as analysed by vort.py
, as follows:
Note: to ensure this script runs correctly, vort.py
should be run first to generate ordered vortex lists as vort_ord_XYZ.csv
.
mpirun -n 32 python py/mpi_vis.py true true #first true is for colorur-bar, second true is for vortex enumeration in plot
The result will be n
PNG images, one for each wavefunction dataset.
stats.py [deprecated]
This file was originally developed for calculating statistical quantities over the vrortex data. However, much of the functionality has been added to other segments of the code-base, and all that remains here is a sample script for the vortex least-squares position estimation, as discussed here. The example can be run as:
python py/stats.py 0 1000 #where 0 and 1000 represent the start and end values for which to calculate the least-sqyuares refinement.
observables.py [deprecated]
This file offers a re-write of the MATLAB code for calculation of the kinetic energy spectra, as well as the ability to calculate values for some known observables, such as the quadrupole mode, breathing mode, and angular momentum as key examples. Running this file expects the wavefunctions and Params.dat to be available in the running directory. Values are calculated and plotted over the available timesteps, and output as PDF files.


Inviteth
Inviteth allows you to send crypto money to people even if don't know their addess.
Send
Receive
Button to create a new account and reedem money to it
Button to receive money to your active metamask account
Button to generate shareable link
Shareable link after generation
Button to generate shortened link using bit.ly


Geo-Vermonter
North
West
East
South
Zoom Out
Latitude: ?
Longitude: ?
County: ?
Score: ?
Start a Game
Guess the Spot
I Give Up!


|
Embedded Artistry Framework
Embedded Systems C++ Framework
|
#include <driver/system_clock.hpp>
#include <platform/virtual_platform.hpp>
#include <platform_logger.hpp>
Classes | |
| class | BlinkyDemoPlatform< THWPlatform, TDriverRegistry > |
| This Platform serves as a base class that the specific framework demo applications Can derive from. More... | |
Variables | |
| volatile bool | abort_program_ |
| Signal variable to exit the main() loop Declared in main.c, set in Sim Platform's boot.cpp using std::signal. More... | |


UNSET_RECURSIVE()
UNSET_RECURSIVE(document, attributeName1, attributeName2, ... attributeNameN) → doc
Recursively remove the attributes attributeName1 to attributeNameN from
document and its sub-documents. All other attributes will be preserved.
- document (object): a document / object
- attributeNames (string, repeatable): an arbitrary number of attribute
names as multiple arguments (at least 1)
- returns doc (object): document without the specified attributes on
all levels (top-level as well as nested objects)
UNSET_RECURSIVE( doc, "_id", "_key", "foo", "bar" )
UNSET_RECURSIVE(document, attributeNameArray) → doc
- document (object): a document / object
- attributeNameArray (array): an array of attribute names as strings
- returns doc (object): document without the specified attributes on
all levels (top-level as well as nested objects)
UNSET_RECURSIVE( doc, [ "_id", "_key", "foo", "bar" ] )


---
layout: default
title: GreenYouth Initiative
---
It is time for the youth to create actual impact, starting with their campuses.Youth will save the world.
Students lie at the heart of GreenYouth and with a strong sense of community, we achieve collaboration.
GYI encompasses projects in clean energy transformation, urban farming and more, with an initial focus on campuses.
GreenYouth provides SDG trainings to student communities and train-the-trainer materials to community leaders.
Leave no one behind. Our mission to give the leaders of tomorrow the tools they need to empower their student community, aiming to create real change in areas including but not limited with the scope of the United Nations' Sustainable Development Goals. Youth will change the world!
Let us acknowledge and celebrate what youth can do to build a safer, more just world. Let us strengthen our efforts to include young people in policies, programmes and decision-making processes that benefit their futures and ours.
Sign up to hear the latest news and progress in the forming of the GreenYouth Initiative.


cdemi's
27 April 2021 |
.NET #dotNet |
What's new in dotnet monitor (devblogs.microsoft.com) |
| Learn about what's new in dotnet monitor which includes egress providers, custom metric, and security and hardening.... Read more |
Privacy |
If you are a EU citizen whose phone number was leaked in the latest you can join Digital Rights Ireland in sueing Facebook (digitalrights.ie) |
| Was your data leaked in the Facebook Data Breach? Find out if you can join us: we're suing Facebook.... Read more |
Have we internalised surveillance? (dianeabela.com) |
| We’ve all been in situations where we mention a product to a friend and it suddenly shows up on our Facebook feed, or we search for something on Amazon and suddenly you find yourself looking at an ad for it on Instagram.... Read more |
Artificial Intelligence #AI |
CPU, GPU and TPU — Machine Learning (medium.com) |
| When I started my journey in machine learning. I always here the words train in gpu, no cpu .., install cuda.... Read more |
Humor #Funny |
jdah/tetris-os (github.com) |
| An operating system, but it only plays Tetris.... Read more |
|
This newsletter is made with 💖 by cdemi and sponsored by moo Research. You can find this MIT Licensed open-source project on GitHub cdemi/NewsletterCurator. Generated with version <IP_ADDRESS>. You can also find an archive of all sent newsletters on GitHub at https://newsletters.cdemi.io/. If you want to unsubscribe from this newsletter, please click here. If you're new and you want to subscribe to this newsletter, please click here. |


I'm Shelby. I'm a TAM minor in my last semester as an undergrade here at CU. I'm also majoring in English with an emphasis in creative writing. Something interesting about me... I'm on CU's Quidditch team (yes, this is a real thing), and I used to be a competitive saber fencer, so I guess I'm into unusual sports.
Funnily enough, I actually started teaching myself HTML when I was in 6th grade on neopets of all places. You had to use html to edit your pet's pages, and I had no idea what I was doing, but somehow managed to figure some stuff out on my own. Here at CU I've taken the WEB class and the Front End Web Development class, so most of my web skills are from there. I like learning ways to make websites more interractive and interesting. I like it when there are moving parts.
In this class I'm mostly just generally wanting to know more about the kind of tools web developers use because I don't have a lot of experience with those things. I'm also really interested to learn about Wordpress, and super excited about the parallax scrolling because I think that stuff looks so cool.


Radio group editor allows to select a single item at a time. It provides similar functionality as Combobox editor. The key difference is that Radio Group displays all the possible options at once but takes up some more space on the screen. The Display mode property allows you to place radio buttons one under the other or in a single row.


Function prototypes for the scEMPA simulator, simulator main file. More...
Go to the source code of this file.
Classes | |
| struct | GridPointMask_t |
| The set of scGridPoint objects can be defined by by a mask word, the bits corresponding to single modules. More... | |
| struct | GridPointSignal_t |
| The signals issued by the scGridPoint. More... | |
| struct | GridPointSignalPort_t |
| Port declarations: these signals go out to the scProcessor. More... | |
| struct | GridPointStatusBit_t |
| The values are stored here, and set through writing into GridPointStatusBitSignal_t. More... | |
| struct | HThreadStatusBit_t |
| The values are stored here, and set through writing into HThreadStatusBit_t. More... | |
| struct | MetaEvent_Transfer_Type |
| Instruction-execution related variables. More... | |
Enumerations | |
| enum | core_cooperationmode_t |
| Codes of mass processing operating modes. | |
| enum | GridPointOperatingBit_t { , gob_ObjectMonitored, gob_ObjectChanged, gob_ObjectActive, gob_ObjectWaiting, gob_OperationMonitored, gob_FetchPending, gob_ExecPending, gob_RegistersMonitored, gob_MemoryMonitored, gob_MorphingMonitored, gob_ResourceMonitored, gob_ObjecIsMeta , gob_PortsMonitored, gob_SignalsMonitored, gob_BuffersMonitored, gob_BufferChanged, gob_CommunicationMonitored, gob_IGPBChanged, gob_IsSending , gob_Max } |
| the names of the bits in the bitset for operating them More... | |
Function prototypes for the scEMPA simulator, simulator main file.
| enum typedef GridPointOperatingBit_t |
the names of the bits in the bitset for operating them


As well as having their own unique properties, the different views also share a number of properties and operations between them.
All the positional and metadata views reflect the current filter state, only showing cross-links / matches that pass the filter settings.
All the positional and meta-data views also support the idea of selecting / highlighting specific cross-links and matches, with selections and highlighting performed in one view reflected in other active views.
The views shown within the panels have a number of functions available through the icons at the top of the panel frame. From left to right these are:
The panels can also be resized by dragging their corners and repositioned by dragging their title bars.


Full name:
Please enter your name above
Street Address:
Please enter your street address
PostCode Cannot be left blank
Email Cannot be left blank


|
Hexagones
1.0
|
An class representing the model of the hexagonal map. More...
#include <grid.h>
Data Fields | |
| void(* | Change_Start )(struct TGridModel *, int, int) |
| void(* | Change_Goal )(struct TGridModel *, int, int) |
| void(* | Random )(struct TGridModel *) |
| double(* | Distance )(struct TGridModel *, THex *, THex *) |
| double(* | Empty_Distance )(struct TGridModel *, THex *, THex *) |
| THex **(* | Get_Neighbors )(struct TGridModel *, THex *, unsigned int) |
| arrow_id_t(* | Add_Arrow )(struct TGridModel *, THex *, THex *, color_name_t) |
| void(* | Remove_Arrow )(struct TGridModel *, arrow_id_t) |
| text_id_t(* | Add_Text )(struct TGridModel *, THex *, const char *) |
| void(* | Remove_Text )(struct TGridModel *, text_id_t) |
| void(* | Reset_Model )(struct TGridModel *, color_name_t) |
| void(* | Reset_Results )(struct TGridModel *) |
| void(* | Free )(struct TGridModel *) |
| TController * | observator |
| THex *** | hexs |
| THex * | start |
| THex * | goal |
An class representing the model of the hexagonal map.
TGridModel is a class representing the model of the hexagonal map.
| arrow_id_t(* Add_Arrow) (struct TGridModel *, THex *, THex *, color_name_t) |
Method for displaying an arrow between two tiles.
| text_id_t(* Add_Text) (struct TGridModel *, THex *, const char *) |
Method for displaying an text on a tile.
| void(* Change_Goal) (struct TGridModel *, int, int) |
Method to change the goal tile position.
| void(* Change_Start) (struct TGridModel *, int, int) |
Method to change the start tile position.
| double(* Distance) (struct TGridModel *, THex *, THex *) |
Method to obtain the cost of moving between two neighbouring tiles.
| double(* Empty_Distance) (struct TGridModel *, THex *, THex *) |
Method for obtaining the empty distance between two tiles.
| void(* Free) (struct TGridModel *) |
Free (ressources) method.
| THex**(* Get_Neighbors) (struct TGridModel *, THex *, unsigned int) |
Method for obtaining the neighbors of a tile.
| THex* goal |
The goal tile.
| THex*** hexs |
The list of all the tiles on the map.
| TController* observator |
The controller instance.
| void(* Random) (struct TGridModel *) |
Method to randomly change the type of the tiles.
| void(* Remove_Arrow) (struct TGridModel *, arrow_id_t) |
Method for removing an arrow between two tiles.
| void(* Remove_Text) (struct TGridModel *, text_id_t) |
Method for removing an text on a tile.
| void(* Reset_Model) (struct TGridModel *, color_name_t) |
Method for resetting the model.
| void(* Reset_Results) (struct TGridModel *) |
Method for removing all the arrows and texts.
| THex* start |
The start tile.


Knowledge Builder
Test Websocket
System message:
{{message}}
Upload text file
Upload document file (.txt) for building Knowledge Base
{% csrf_token %} {{ form.as_p }}
Upload file
{% if preview %}
Text Preview:
{{preview}}
{% endif %} File saved path:
{{filename}}
Model saved path:
{{modelname}}
Load this model
Ask a question
Input Question:
Query
Answer:
Find specific Subject and/or Predicate and/or Object
Input Subject:
Input Predicate:
Input Object:
Find
Answer:


I am Kerwin Bailey jr.
v I play in this band v
I am a fan of music
Technology is interesting
It's way too late
Here is my blog
I'm a 20 year old male from Brooklyn
- Interests
- Steel Pan
- Music
- Computers
- Running
- Jobs
- Camp Counsellor
- After School Counsellor
- Schools
- Langston Hughes Elementary 233
- Meyer Levin Jr. High 285
- Boys & Girls H.S.
- NYU Poly-Tech
- Places I've Been
- Trinidad & Tobago
- Jamaica
- California
- Florida
We're Codecademy! We're here to help you learn to code.
Starting w/ CSS
Random Things
- Thing 1
- Thing 2
More CSS
Just trying out a paragraph
Look up more CSS


I'm a 24 years old Game Designer, based in São Paulo-SP. With 2+ Years of Professional experience and a lot of projects made with extremely care and attention to details.
In past years I've professionally worked mainly with Hyper-Casual and Hybrid-Casual games, accumulating experiences from Prototyping then all the way to the Global Launch.

These are my favorites genres to play, but I really like and have worked on diverse game genres.
Unity Engine
Photoshop and Illustrator
Google Apps
ClickUp, Notion and Miro
Pandora Game Studio (2021 - Now)
DT3 Sports, Sprovieri Games (2020 - 2021)
Be.Byte (2019 - 2020)
Anhembi Morumbi EAD (2022/2 - In Progress)
Crie Seus Jogos (2021)
FIAP (2017 - 2019)


Set the enpoint URL where to POST the log message (e.g.: https://httpbin.org/post )
Prepare the log message for the test
Choose the severity log-level you want to test
Send the log message via Loggerhead.js
The following is the return value of the POST request triggered by the 'Send Log Message' button above.
no-request sent yet
Send the log message through Loggerhead.js by throwing a simple Javascript error


#include <ProjectData_test.h>
This is a generated data object test class that is used for testing the data object called ProjectData.
| Helix::Logic::dev::ProjectDataTest::ProjectDataTest |
( |
const ProjectDataTest & |
c | ) |
|
|
inlineprivate |
Copy constructor is private to prevent use.
| ProjectDataTest::ProjectDataTest |
( |
| ) |
|
| ProjectDataTest::~ProjectDataTest |
( |
| ) |
|
|
virtual |
Compare two lists of objects to see if they are the same.
Compare two objects to see if they are the same.
| void ProjectDataTest::deleteByID |
( |
IOConn & |
ioc, |
|
|
xmlNodePtr |
node |
|
) |
| |
This method will use our input XML document to prepare for and test the " + doName + "." + methodName + " method. We will use our list of output xml documents to verify the output of this method. If the list of ourput documents is empty, we will simply ensure that no exceptions are thrown using the given XML input document.
| void ProjectDataTest::insert |
( |
IOConn & |
ioc, |
|
|
xmlNodePtr |
node |
|
) |
| |
This method will use our input XML document to prepare for and test the ProjectData.insert method. We will use our list of output xml documents to verify the output of this method. If the list of ourput documents is empty, we will simply ensure that no exceptions are thrown using the given XML input document.
Assignment operator is private to prevent use.
| void ProjectDataTest::runTests |
( |
IOConn & |
ioc, |
|
|
xmlNodePtr |
node |
|
) |
| |
|
virtual |
| void ProjectDataTest::selectAllForProj |
( |
IOConn & |
ioc, |
|
|
xmlNodePtr |
node |
|
) |
| |
This method will use our input XML document to prepare for and test the ProjectData.selectAllForProj method. We will use our list of output xml documents to verify the output of this method. If the list of ourput documents is empty, we will simply ensure that no exceptions are thrown using the given XML input document.
| void ProjectDataTest::selectByID |
( |
IOConn & |
ioc, |
|
|
xmlNodePtr |
node |
|
) |
| |
This method will use our input XML document to prepare for and test the ProjectData.selectByID method. We will use our list of output xml documents to verify the output of this method. If the list of ourput documents is empty, we will simply ensure that no exceptions are thrown using the given XML input document.
| void ProjectDataTest::update |
( |
IOConn & |
ioc, |
|
|
xmlNodePtr |
node |
|
) |
| |
This method will use our input XML document to prepare for and test the " + doName + "." + methodName + " method. We will use our list of output xml documents to verify the output of this method. If the list of ourput documents is empty, we will simply ensure that no exceptions are thrown using the given XML input document.
Registers us with the global factory map.
The documentation for this class was generated from the following files:


Settings
Slidecast
Slide of Slidecast
Slide
The image must have been previously made available under public url.
Audio
The audio file must have been previously made available under public url.
Description
Here you can enter the explanations for your slide.
Optional Content
Here you can specify optional html/ccm content for your slide.


Researcher Lorain:
Ah! You're the one I was promised could help me...
But you're too late. I was surprised by a monster while searching the 2nd floor, and I ended up having a big fight with that arrogant Nikola over there. He's so frustrating! I know he has a great deal of insight into these matters, but I can't stand working with him.
"But you have to continue your work!"


EBI
a biosensor modelling and simulation system
Overview
Models
Simulations
View
or
create
models
Run
simulations
List
New
Model name
(id)
Description
List
»
Model:
Copy
Edit
The model involves reactions:
where
simulations


Red Abbey Resort
Red Abbey Resort is special. We strive to create a unique experience by taking you away from the hustle and bustle of the city to a place untouched by time. Upon your arrival our butler Mr. Carson will greet you with your room key and take your bags. From there you may choose to relax immediately in the Foyer Lounge while our attentive staff fixes your drinks, or retire immediately with the option of private dining directly in your room. Guests also enjoy strolling through our vast gardens, or unwinding on the rooftop conservatory.
Services and Ammenities
- Foyer Lounge
- Terrace Conservatory
- Private Dining
- Garden Views
- Weddings
Booking a Room
- Have travel dates ready.
- Call our booking number or submit a reservation request online.
- Pay deposit to hold your reservation and room request.
- Look for our call or email the week before your stay to confirm your booking.
- Enjoy your stay at one of the top resorts in the world!
Sound good? Book your room today!
All content on this site is © Red Abbey Resort


Choose the books you want to import from your Goodreads account
Would you like to connect now?
Return to library


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | package org.apache.commons.math3.genetics; | |
| 18 | ||
| 19 | import java.util.ArrayList; | |
| 20 | import java.util.Collections; | |
| 21 | import java.util.HashSet; | |
| 22 | import java.util.List; | |
| 23 | import java.util.Set; | |
| 24 | ||
| 25 | import org.apache.commons.math3.exception.DimensionMismatchException; | |
| 26 | import org.apache.commons.math3.exception.MathIllegalArgumentException; | |
| 27 | import org.apache.commons.math3.exception.util.LocalizedFormats; | |
| 28 | import org.apache.commons.math3.random.RandomGenerator; | |
| 29 | import org.apache.commons.math3.util.FastMath; | |
| 30 | ||
| 31 | /** | |
| 32 | * Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a | |
| 33 | * consecutive slice from one parent, and filling up the remaining genes from the other | |
| 34 | * parent as they appear. | |
| 35 | *
 | |
| 36 | * This policy works by applying the following rules: | |
| 37 | *
 | |
| 38 | *
select a random slice of consecutive genes from parent 1
 | |
| 39 | *
copy the slice to child 1 and mark out the genes in parent 2
 | |
| 40 | *
starting from the right side of the slice, copy genes from parent 2 as they | |
| 41 | * appear to child 1 if they are not yet marked out.
 | |
| 42 | *
 | |
| 43 | *
 | |
| 44 | * Example (random sublist from index 3 to 7, underlined): | |
| 45 | *
 | |
| 46 | * p1 = (8 4 7 3 6 2 5 1 9 0) X c1 = (0 4 7 3 6 2 5 1 8 9) | |
| 47 | * --------- --------- | |
| 48 | * p2 = (0 1 2 3 4 5 6 7 8 9) X c2 = (8 1 2 3 4 5 6 7 9 0) | |
| 49 | *
 | |
| 50 | *
 | |
| 51 | * This policy works only on {@link AbstractListChromosome}, and therefore it | |
| 52 | * is parameterized by T. Moreover, the chromosomes must have same lengths. | |
| 53 | * | |
| 54 | * @see  | |
| 55 | * Order 1 Crossover Operator | |
| 56 | * | |
| 57 | * @param <T> generic type of the {@link AbstractListChromosome}s for crossover | |
| 58 | * @since 3.1 | |
| 59 | * @version $Id$ | |
| 60 | */ | |
| 61 | public class OrderedCrossover<T> implements CrossoverPolicy { | |
| 62 | ||
| 63 | /** | |
| 64 | * {@inheritDoc} | |
| 65 | * | |
| 66 | * @throws MathIllegalArgumentException iff one of the chromosomes is | |
| 67 | * not an instance of {@link AbstractListChromosome} | |
| 68 | * @throws DimensionMismatchException if the length of the two chromosomes is different | |
| 69 | */ | |
| 70 | @SuppressWarnings("unchecked") | |
| 71 | public ChromosomePair crossover(final Chromosome first, final Chromosome second) | |
| 72 | throws DimensionMismatchException, MathIllegalArgumentException { | |
| 73 | ||
| 74 |
2
1. crossover : negated conditional → KILLED 2. crossover : negated conditional → KILLED |
if (!(first instanceof AbstractListChromosome<?> && second instanceof AbstractListChromosome<?>)) { |
| 75 | throw new MathIllegalArgumentException(LocalizedFormats.INVALID_FIXED_LENGTH_CHROMOSOME); | |
| 76 | } | |
| 77 |
1
1. crossover : mutated return of Object value for org/apache/commons/math3/genetics/OrderedCrossover::crossover to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return mate((AbstractListChromosome<T>) first, (AbstractListChromosome<T>) second); |
| 78 | } | |
| 79 | ||
| 80 | /** | |
| 81 | * Helper for {@link #crossover(Chromosome, Chromosome)}. Performs the actual crossover. | |
| 82 | * | |
| 83 | * @param first the first chromosome | |
| 84 | * @param second the second chromosome | |
| 85 | * @return the pair of new chromosomes that resulted from the crossover | |
| 86 | * @throws DimensionMismatchException if the length of the two chromosomes is different | |
| 87 | */ | |
| 88 | protected ChromosomePair mate(final AbstractListChromosome<T> first, final AbstractListChromosome<T> second) | |
| 89 | throws DimensionMismatchException { | |
| 90 | ||
| 91 | final int length = first.getLength(); | |
| 92 |
1
1. mate : negated conditional → KILLED |
if (length != second.getLength()) { |
| 93 | throw new DimensionMismatchException(second.getLength(), length); | |
| 94 | } | |
| 95 | ||
| 96 | // array representations of the parents | |
| 97 | final List<T> parent1Rep = first.getRepresentation(); | |
| 98 | final List<T> parent2Rep = second.getRepresentation(); | |
| 99 | // and of the children | |
| 100 | final List<T> child1 = new ArrayList<T>(length); | |
| 101 | final List<T> child2 = new ArrayList<T>(length); | |
| 102 | // sets of already inserted items for quick access | |
| 103 | final Set<T> child1Set = new HashSet<T>(length); | |
| 104 | final Set<T> child2Set = new HashSet<T>(length); | |
| 105 | ||
| 106 | final RandomGenerator random = GeneticAlgorithm.getRandomGenerator(); | |
| 107 | // choose random points, making sure that lb < ub. | |
| 108 | int a = random.nextInt(length); | |
| 109 | int b; | |
| 110 | do { | |
| 111 | b = random.nextInt(length); | |
| 112 |
1
1. mate : negated conditional → SURVIVED |
} while (a == b); |
| 113 | // determine the lower and upper bounds | |
| 114 | final int lb = FastMath.min(a, b); | |
| 115 | final int ub = FastMath.max(a, b); | |
| 116 | ||
| 117 | // add the subLists that are between lb and ub | |
| 118 |
1
1. mate : Replaced integer addition with subtraction → SURVIVED |
child1.addAll(parent1Rep.subList(lb, ub + 1)); |
| 119 | child1Set.addAll(child1); | |
| 120 |
1
1. mate : Replaced integer addition with subtraction → SURVIVED |
child2.addAll(parent2Rep.subList(lb, ub + 1)); |
| 121 | child2Set.addAll(child2); | |
| 122 | ||
| 123 | // iterate over every item in the parents | |
| 124 |
3
1. mate : changed conditional boundary → KILLED 2. mate : Changed increment from 1 to -1 → KILLED 3. mate : negated conditional → KILLED |
for (int i = 1; i <= length; i++) { |
| 125 |
2
1. mate : Replaced integer addition with subtraction → KILLED 2. mate : Replaced integer modulus with multiplication → KILLED |
final int idx = (ub + i) % length; |
| 126 | ||
| 127 | // retrieve the current item in each parent | |
| 128 | final T item1 = parent1Rep.get(idx); | |
| 129 | final T item2 = parent2Rep.get(idx); | |
| 130 | ||
| 131 | // if the first child already contains the item in the second parent add it | |
| 132 |
1
1. mate : negated conditional → KILLED |
if (!child1Set.contains(item2)) { |
| 133 | child1.add(item2); | |
| 134 | child1Set.add(item2); | |
| 135 | } | |
| 136 | ||
| 137 | // if the second child already contains the item in the first parent add it | |
| 138 |
1
1. mate : negated conditional → KILLED |
if (!child2Set.contains(item1)) { |
| 139 | child2.add(item1); | |
| 140 | child2Set.add(item1); | |
| 141 | } | |
| 142 | } | |
| 143 | ||
| 144 | // rotate so that the original slice is in the same place as in the parents. | |
| 145 |
1
1. mate : removed call to java/util/Collections::rotate → SURVIVED |
Collections.rotate(child1, lb); |
| 146 |
1
1. mate : removed call to java/util/Collections::rotate → SURVIVED |
Collections.rotate(child2, lb); |
| 147 | ||
| 148 |
1
1. mate : mutated return of Object value for org/apache/commons/math3/genetics/OrderedCrossover::mate to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return new ChromosomePair(first.newFixedLengthChromosome(child1), |
| 149 | second.newFixedLengthChromosome(child2)); | |
| 150 | } | |
| 151 | } | |
Mutations | ||
| 74 |
1.1 2.2 |
|
| 77 |
1.1 |
|
| 92 |
1.1 |
|
| 112 |
1.1 |
|
| 118 |
1.1 |
|
| 120 |
1.1 |
|
| 124 |
1.1 2.2 3.3 |
|
| 125 |
1.1 2.2 |
|
| 132 |
1.1 |
|
| 138 |
1.1 |
|
| 145 |
1.1 |
|
| 146 |
1.1 |
|
| 148 |
1.1 |


Orm
Orm 是 物件關聯對映（Object
Relational Mapper） 的简寫，它做兩件事：
對應你資料庫裡的資料列到物件，
并能让你在这些物件之間建立關係。
它緊隨 活动記錄模式（
Active Record Pattern），但也受到其他系统的影響。
關聯：Has Many
Specifies a one-to-many relationship to another model. The target model must include a "Belongs To" reference to the current model to allow the inverse relationship.
範例
Let's say we have a model Model_Post and it has many Model_Comments (which in turn belong to the post). The ID of the Model_Post is saved with the Model_Comment instance in its own table. This means the comments table will have a column post_id (or something else you configure), while the posts table won't mention the comments. If you keep to the defaults all you need to do is add 'comments' to the $_has_many static property of the Model_User:
protected static $_has_many = array('comments');
Below are examples for establishing and breaking has-many relations:
// 主要及關聯物件兩者都是新的：
$post = new Model_Post();
$post->comments[] = new Model_Comment();
$post->save();
// both main and related object already exist
$post = Model_Post::find(1);
$post->comments[6] = Model_Comment::find(6); // assigning it to comments[6] is not required but recommended
$post->save();
// break the relationship established above
$post = Model_Post::find(1);
unset($post->comments[6]);
$post->save();
Full config example with defaults as values
// 在有多个 comments 的 Model_Post 中
protected static $_has_many = array(
'comments' => array(
'key_from' => 'id',
'model_to' => 'Model_Comment',
'key_to' => 'post_id',
'cascade_save' => true,
'cascade_delete' => false,
)
);


PopoverForms are Romo.UI.Form components inside the body of a Romo.UI.Popover. They combine the behavior of Popovers and Forms, emit the combined set of events in a proxied namespace, and are configured with the combined set of configuration data attributes.


{% extends "generator/layout.html" %} {% block content %}
The connector hooks into another API to create data.


Format for X11 pcf bitmap font files
This file is based on the X11 sources. If something here disagrees with what is found in the sources, my statement is incorrect. The sources are definitive.
The pcf (portable compiled format) file format is a binary representation of a bitmap font used by the XServer. It consists of a file header followed by a series of tables, with the header containing pointers to all the tables.
File Header
The file header contains 32 bit integers stored with the least significant byte first.
char header[4]; /* always "fcp" */ lsbint32 table_count; struct toc_entry { lsbint32 type; /* See below, indicates which table */ lsbint32 format; /* See below, indicates how the data are formatted in the table */ lsbint32 size; /* In bytes */ lsbint32 offset; /* from start of file */ } tables[table_count];
The type field may be one of:
#define PCF_PROPERTIES (1<<0) #define PCF_ACCELERATORS (1<<1) #define PCF_METRICS (1<<2) #define PCF_BITMAPS (1<<3) #define PCF_INK_METRICS (1<<4) #define PCF_BDF_ENCODINGS (1<<5) #define PCF_SWIDTHS (1<<6) #define PCF_GLYPH_NAMES (1<<7) #define PCF_BDF_ACCELERATORS (1<<8)
The format field may be one of:
#define PCF_DEFAULT_FORMAT 0x00000000 #define PCF_INKBOUNDS 0x00000200 #define PCF_ACCEL_W_INKBOUNDS 0x00000100 #define PCF_COMPRESSED_METRICS 0x00000100
The format field may be modified by:
#define PCF_GLYPH_PAD_MASK (3<<0) /* See the bitmap table for explanation */ #define PCF_BYTE_MASK (1<<2) /* If set then Most Sig Byte First */ #define PCF_BIT_MASK (1<<3) /* If set then Most Sig Bit First */ #define PCF_SCAN_UNIT_MASK (3<<4) /* See the bitmap table for explanation */
The format will be repeated as the first word in each table. Most tables only have one format (default), but some have alternates. The high order three bytes of the format describe the gross format. The way integers and bits are stored can be altered by adding one of the mask bits above.
All tables begin on a 32bit boundary (and will be padded with zeroes).
Properties Table
lsbint32 format; /* Always stored with least significant byte first! */ int32 nprops; /* Stored in whatever byte order is specified in the format */ struct props { int32 name_offset; /* Offset into the following string table */ int8 isStringProp; int32 value; /* The value for integer props, the offset for string props */ } props[nprops]; char padding[(nprops&3)==0?0:(4-(nprops&3))]; /* pad to next int32 boundary */ int string_size; /* total size of all strings (including their terminating NULs) */ char strings[string_size]; char padding2[];
These properties are the Font Atoms that X provides to users. Many are described in xc/doc/specs/XLFD/xlfd.tbl.ms or here (the X protocol does not limit these atoms so others could be defined for some fonts).
To find the name of a property: strings + props[i].name_offset
Metrics Data
Several of the tables (PCF_METRICS, PCF_INK_METRICS, and within the accelerator tables) contain metrics data which may be in either compressed (PCF_COMPRESSED_METRICS) or uncompressed (DEFAULT) formats. The compressed format uses bytes to contain values, while the uncompressed uses shorts. The (compressed) bytes are unsigned bytes which are offset by 0x80 (so the actual value will be (getc(pcf_file)-0x80)
. The data are stored as:
Compressed
uint8 left_sided_bearing; uint8 right_side_bearing; uint8 character_width; uint8 character_ascent; uint8 character_descent; /* Implied character attributes field = 0 */
Uncompressed
int16 left_sided_bearing; int16 right_side_bearing; int16 character_width; int16 character_ascent; int16 character_descent; uint16 character_attributes;
This provides the data needed for an XCharStruct.
Accelerator Tables
These data provide various bits of information about the font as a whole. This data structure is used by two tables PCF_ACCELERATORS and PCF_BDF_ACCELERATORS. The tables may either be in DEFAULT format or in PCF_ACCEL_W_INKBOUNDS (in which case they will have some extra metrics data at the end.
The accelerator tables look like:
lsbint32 format; /* Always stored with least significant byte first! */ uint8 noOverlap; /* if for all i, max(metrics[i].rightSideBearing - metrics[i].characterWidth) */ /* <= minbounds.leftSideBearing */ uint8 constantMetrics; /* Means the perchar field of the XFontStruct can be NULL */ uint8 terminalFont; /* constantMetrics true and forall characters: */ /* the left side bearing==0 */ /* the right side bearing== the character's width */ /* the character's ascent==the font's ascent */ /* the character's descent==the font's descent */ uint8 constantWidth; /* monospace font like courier */ uint8 inkInside; /* Means that all inked bits are within the rectangle with x between [0,charwidth] */ /* and y between [-descent,ascent]. So no ink overlaps another char when drawing */ uint8 inkMetrics; /* true if the ink metrics differ from the metrics somewhere */ uint8 drawDirection; /* 0=>left to right, 1=>right to left */ uint8 padding; int32 fontAscent; /* byte order as specified in format */ int32 fontDescent; int32 maxOverlap; /* ??? */ Uncompressed_Metrics minbounds; Uncompressed_Metrics maxbounds; /* If format is PCF_ACCEL_W_INKBOUNDS then include the following fields */ Uncompressed_Metrics ink_minbounds; Uncompressed_Metrics ink_maxbounds; /* Otherwise those fields are not in the file and should be filled by duplicating min/maxbounds above */
BDF Accelerators should be preferred to plain Accelerators if both tables are present. BDF Accelerators contain data that refers only to the encoded characters in the font (while the simple Accelerator table includes all glyphs), therefore the BDF Accelerators are more accurate.
Metrics Tables
There are two different metrics tables, PCF_METRICS and PCF_INK_METRICS, the former contains the size of the stored bitmaps, while the latter contains the minimum bounding box. The two may contain the same data, but many CJK fonts pad the bitmaps so all bitmaps are the same size. The table format may be either DEFAULT or PCF_COMPRESSED_METRICS (see the section on Metrics Data for an explanation).
lsbint32 format; /* Always stored with least significant byte first! */ /* if the format is compressed */ int16 metrics_count; Compressed_Metrics metrics[metrics_count]; /* else if format is default (uncompressed) */ int32 metrics_count; Uncompressed_Metrics metrics[metrics_count]; /* endif */
The Bitmap Table
The bitmap table has type PCF_BITMAPS. Its format must be PCF_DEFAULT.
lsbint32 format; /* Always stored with least significant byte first! */ int32 glyph_count; /* byte ordering depends on format, should be the same as the metrics count */ int32 offsets[glyph_count]; /* byte offsets to bitmap data */ int32 bitmapSizes[4]; /* the size the bitmap data will take up depending on various padding options */ /* which one is actually used in the file is given by (format&3) */ char bitmap_data[bitmapsizes[format&3]]; /* the bitmap data. format contains flags that indicate: */ /* the byte order (format&4 => LSByte first)*/ /* the bit order (format&8 => LSBit first) */ /* how each row in each glyph's bitmap is padded (format&3) */ /* 0=>bytes, 1=>shorts, 2=>ints */ /* what the bits are stored in (bytes, shorts, ints) (format>>4)&3 */ /* 0=>bytes, 1=>shorts, 2=>ints */
The Encoding Table
The encoding table has type PCF_BDF_ENCODINGS. Its format must be PCF_DEFAULT.
lsbint32 format; /* Always stored with least significant byte first! */ int16 min_char_or_byte2; /* As in XFontStruct */ int16 max_char_or_byte2; /* As in XFontStruct */ int16 min_byte1; /* As in XFontStruct */ int16 max_byte1; /* As in XFontStruct */ int16 default_char; /* As in XFontStruct */ int16 glyphindeces[(max_char_or_byte2-min_char_or_byte2+1)*(max_byte1-min_byte1+1)]; /* Gives the glyph index that corresponds to each encoding value */ /* a value of 0xffff means no glyph for that encoding */
For single byte encodings min_byte1==max_byte1==0, and encoded values are between [min_char_or_byte2,max_char_or_byte2]. The glyph index corresponding to an encoding is glyphindex[encoding-min_char_or_byte2].
Otherwise [min_byte1,max_byte1] specifies the range allowed for the first (high order) byte of a two byte encoding, while [min_char_or_byte2,max_char_or_byte2] is the range of the second byte. The glyph index corresponding to a double byte encoding (enc1,enc2) is glyph_index[(enc1-min_byte1)*(max_char_or_byte2-min_char_or_byte2+1)+ enc2-min_char_or_byte2].
Not all glyphs need to be encoded. Not all encodings need to be associated with glyphs.
The Scalable Widths Table
The encoding table has type PCF_SWIDTHS. Its format must be PCF_DEFAULT.
lsbint32 format; /* Always stored with least significant byte first! */ int32 glyph_count; /* byte ordering depends on format, should be the same as the metrics count */ int32 swidths[glyph_count]; /* byte offsets to bitmap data */
The scalable width of a character is the width of the corresponding postscript character in em-units (1/1000ths of an em).
The Glyph Names Table
The encoding table has type PCF_GLYPH_NAMES. Its format must be PCF_DEFAULT.
lsbint32 format; /* Always stored with least significant byte first! */ int32 glyph_count; /* byte ordering depends on format, should be the same as the metrics count */ int32 offsets[glyph_count]; /* byte offsets to string data */ int32 string_size; char string[string_size];
The postscript name associated with each character.
Other sources of info:


classification of sedimentary rocks - Extensions
a13 Classification of sedimentary rocks < settling > 25. SCIENCE AND HISTORICAL GEOLOGY a13 Classification of sedimentary rocks < settling >. The popularity of the triangle is probably attributable partly to its . http://geowords.com/histbookpdf/a13.pdf
You can develop your own extensions
using the malibu tracks in atlana.
Syntax-Highlighting Addons
Sedimentary Rocks DETRITAL SEDIMENTARY ROCKS. Keys to identification and classification of sedimentary rocks: Grain size - depends on original material, length of time it has . http://www.ux1.eiu.edu/~cfjps/1300/sed_rxs.html
Sedimentary Rock Classification Diagrams - Ternary Diagrams Diagrams to help classify sedimentary rocks. . Here are some of the basic diagrams that geologists use to classify sedimentary rocks. Images 1-5 of 5 . http://geology.about.com/od/more_sedrocks/ig/sedroxdiagrams/ in one installer (526 kb).
A simple JavaScript Formatter (47kb)Sedimentary Rock Classification Oct 26, 2000 . The most general theoretical model we have for sedimentary rocks is the simple ideal model. The basic classification is based on that model. http://csmres.jmu.edu/geollab/fichter/SedRx/sedclass.html
Sedimentary Rock Classification - Rocks and Minerals Sedimentary rock is classified into two groups based on how they form. They are clastic and chemical sedimentary rocks. http://www.rocksandminerals4u.com/sedimentary_rock.html CertMaker for iOS and Android
Sedimentary rocks and sedimentary rock classification Sedimentary rocks and sedimentary rock classification. Sedimentary rocks are highly varied and include several major types that form in different settings. http://www-odp.tamu.edu/curation/gcr/geol106lab/classifications.htm
Windows 8 AppContainer Loopback Utility
Geology: Clastic Sedimentary Rocks Clastic sedimentary rocks are classified according to the grain size of the sediment and the kinds of rock fragments that make up the sediment (Table 1 ). http://www.cliffsnotes.com/study_guide/Clastic-Sedimentary-Rocks.topicArticleId-9605,articleId-9478.html Download
Now (60kb) or
download word font chalkboard bold
Traffic Differ
Origin and Classification of Sedimentary Rocks Feb 28, 2008 . Sedimentary Rocks: Depositional Environments and Structures. Purpose. The purposes of this lab are (1) to review the processes that form . http://eesc.columbia.edu/courses/ees/lithosphere/labs/dep_environs.html Download now (47kb).
SAZ Clipboard
sedimentary rock : Classification of sandstones -- Britannica Online ... Classification of sandstones. There are many different systems of classifying sandstones, but the most commonly used schemes incorporate both texture (the . http://www.britannica.com/EBchecked/topic/532232/sedimentary-rock/80275/Classification-of-sandstones
Gallery
The Gallery extension (50kb) GeoMan's Sedimentary Rock Identification Chart GeoMan's Sedimentary Rock Classification . 2 mm, Any rock type (quartz, chert, or quartzite most common), Rounded clasts, Conglomerate. Angular clasts . http://jersey.uoregon.edu/~mstrick/MinRockID/RockID/Sedimentary.html
Classification of Sedimentary Rocks MINERALOGY and OTHER CONSTITUENTS: Sedimentary rocks consist of the (1 ) products of mechanical weathering, (2) products of chemical weathering, . http://www.appstate.edu/~abbottrn/rck-id/sedchrts.html
AnyWHERE (sample)
The AnyWHERE extension (40kb) sedimentary rock : Classification systems -- Britannica Online ... Classification systems. In general, geologists have attempted to classify sedimentary rocks on a natural basis, but some schemes have genetic implications (i.e. . http://www.britannica.com/EBchecked/topic/532232/sedimentary-rock/80247/Classification-systems
RulesTab (sample)
Preliminary to Sedimentary Rocks Geology Identification and Classification of Sedimentary Rocks. Terrigenous Clastic . Initial Compositional Classification of the Most Common Sedimentary Rocks . http://www.geology.wmich.edu/barnes/geos435/2_G435.pps
Privacy Scanner
The Privacy Scanner
(41kb) Clastic rock - Wikipedia, the free encyclopedia Classification. Sedimentary Rock Chart. Siliciclastic sedimentary rocks are composed of mainly silicate particles derived by the . http://en.wikipedia.org/wiki/Clastic_rock
Content-Blocking (sample)
The Content Blocker
sample (11kb) Classification of Sediments and Sedimentary Rocks Sediments and sedimentary rocks may be divided into two kinds, intrabasinal or autochthonous and extrabasinal or allochthonous. Intrabasinal sediments and . http://www.springerreference.com/docs/html/chapterdbid/76411.html
Image-Flipper (sample)
The Image
Flipper sample (6kb) Sedimentary RR/99/03 Rock classification, sediments and sedimentary rocks. Bibliographical Reference. Hallsworth, C R, and Knox, R W O'B. 1999. BGS Rock Classification Scheme . http://www.gsi.ir/Images/parisa/Sedimentary.pdf
3rd-Party Extensions
How are Sedimentary Rocks Classified? - Answers.Ask.com Sedimentary rocks are classified in many different ways. There are complicated systems and simple systems of classification. In some simple ... view more. http://answers.ask.com/Science/Nature/how_are_sedimentary_rocks_classified
Preliminary to Sedimentary Rocks Geology 2_G435.pps. Identification and Classification of Sedimentary Rocks . 2_G435. pps. Initial Compositional Classification of the Most Common Sedimentary Rocks . http://www.geology.wmich.edu/barnes/Geos435/2_lab_G435.pps
neXpert Performance Report Generator
A Classification of Sedimentary Rocks - JStor A CLASSIFICATION OF SEDIMENTARY ROCKS. ROBERT R. SHROCK. Massachusetts Institute of Technology. ABSTRACT. A simple field and laboratcry . http://www.jstor.org/stable/30070802
StresStimulus
CLASSIFICATION OF SEDIMENTARY ROCKS (see p. 208) A ... CLASSIFICATION OF SEDIMENTARY ROCKS. (see p. 208). A. CLASTIC or DETRITAL ROCKS--classify by texture. 1. Conglomerate (rounded) or Breccia . http://geosciences.missouristate.edu/assets/geosciences/Lec12--SedimentaryRocks.pdf
Watcher - Passive Security Auditor
GY 111 Lecture Note Series Lab 3: Introduction to Sedimentary Rocks References: GY 111; Earth Materials Lab Manual; Chapter 3. A) Sedimentary Rock Classification. Sedimentary rocks are not classified in the same systematic . http://www.usouthal.edu/geology/haywick/GY111/111lab-3.pdf
Sedimentary Rock Classification And Identification - Csmres Jmu Oct 26, 2000 . Dozens of sedimentary rock classification schemes have been proposed over the decades, and their diversity can be bewildering, especially to . http://csmres.jmu.edu/geollab/fichter/SedRx/classify.html
Ammonite - Security Scanner
Sedimentary Rocks and Sedimentary Structures Sedimentary Rocks and Sedimentary Structures: How to 'Read' Sedimentary Rocks. Classification. Sedimentary rocks fall into three general categories base on . http://www.geology2.pitt.edu/GeoSites/sedstructures.htm
wayne daulton garage door
x5s - Automated XSS Security Testing AssistantChemical sedimentary rocks Chemical Sedimentary Rocks. Chemical rocks are deposited . Instead, these rocks are classified on the chemistry of the dominant minerals. The three common . http://cmsc.minotstateu.edu/Labs/rockslab/sedimentary/Chemical%20sedimentary%20rocks.html
- Detecting where safe encodings were not applied to emitted
user-inputs
- Detecting where Unicode character transformations might bypass
security filters
- Detecting where non-shortest UTF-8 encodings might bypass security
filters
home depot managers pay scale
intruder21
time-stratigraphic classification of sedimentary rocks - Geological ... Radioactivity may eventually furnish a method for truly measuring time in sedimentary rocks, but at present paleontologic (bio-stratigraphic) evidence is the most . http://gsabulletin.gsapubs.org/content/59/5/447
federal grants assistance publications
HTML Inspector
Classification of sedimentary rocks - Australian Museum Feb 11, 2009 . Sedimentary rocks are classified according to the predominant grain size present , as well as by their mineral content. http://australianmuseum.net.au/Classification-of-sedimentary-rocks/
On the classification of sedimentary rocks ... - Amadeus William ... Title, On the classification of sedimentary rocks ... Author, Amadeus William Grabau. Edition, reprint. Published, 1904. Original from, Princeton University . http://books.google.com/books/about/On_the_classification_of_sedimentary_roc.html?id=mn9PAAAAYAAJ
WCF Binary-Encoded Message Inspector
Multisensor classification of sedimentary rocks This paper compares linear discriminant analysis and supervised classification results based on signatures from the Landsat Thematic Mapper (TM), the . http://www.sciencedirect.com/science/article/pii/0034425788900971
Chad Sowald's Request-To-Code
Sedimentary rocks - Teachers' Online Primary Science Sedimentary rocks are classified according to how they physically form. This is reflected in easily identifiable properties such as composition and texture. http://www.climatechangematters.net.au/LOTS/Earth/sub/sedimentary/sedimentary.htm
Eyal's Extensions
- santana there it go lyrics has written two extensions:
Thomas Deml's Export WCAT Script extension
BGS Downloads -Rock Classification Scheme - Vol 3 - Sedimentary BGS Downloads - The report, issued here as BGS Research Report RR 99-03, includes 14 figures and 12 tables. http://www.bgs.ac.uk/downloads/start.cfm?id=9
Per-Response Latency Extension
detrital rocks Detrital sedimentary rocks are classified mainly by the size of their grains, and secondarily by the composition of the grains. The list below compares sediment . http://geology.campus.ad.csulb.edu/people/bperry/Sedimentary%20Rocks%20Tour/Detrital%20Sedimentary%20Rocks%20page.htm
WPAD Server
Sedimentary Rocks and Sedimentary Structures Sedimentary Rocks and Sedimentary Structures: How to 'Read' Sedimentary Rocks. Classification. Sedimentary rocks fall into three general categories base on . http://www.geology2.pitt.edu/GeoSites/sedstructures.htm
XML Request InspectorSedimentary Rocks II. Classification of Sedimentary Rocks (Make sure you see an example of each type in lab!) 1. detrital (clastic) sedimentary rocks - Composed of fragments of . http://mtweb.mtsu.edu/cribb/1030sedimentary.html XML DataSet Inspectorclassification of detrital sedimentary rocks Detrital sedimentary rocks are classified mainly by the size of their grains, and secondarily by the composition of the grains. The list below compares sediment . http://geology.campus.ad.csulb.edu/people/bperry/Sedimentary%20Rocks%20Tour/class_detrital_sed_rocks.htm
©2013 Telerik
|


Build an android app for searching events using Ticketmaster API
Get familiar with handling Async tasks and third party libraries such as Volley and Picasso
What I did?
Developed android app with three activities with below functions
First activity contains two tabs. First tab consists of a form which is a form that takes user input for searching events. Second tab is for displaying favourites
Second activity has a single tab which is used to display the event search results. I used RecyclerView to display event results. Each listItem in the view consists fo an icon , event text and a favourite button
Third Activity consists of four tabs.
First Tab consists of event information fectched from TicketMaster's Event Details API.
Second tab consists Artist/Team's pictures fetched from Google custom search API and Artist's information fetched from Spotify API.
Third tab contains venue information fetched from TicketMaster's Venue API.
Fourth Tab consists of information about upcoming events fetched from songkick Venue API.
Backend for this project was written in NodeJS. This essentially was integrated with Async Volley HTTP requests to backend server URL which in turn made calls to external REST APIs
Used Java ReEntrant Locks to handle data returned from multiple Async calls to five different API's.
Technologies Used:
Android Studio
Graddle
JAVA 8
NodeJS
AWS EC2
Role: Developer
Event: Coursework:- CSCI 571 Web Technologies
Location: University of Southern California, Los Angeles


About Salmon cookies
History of the Salmon Cookie! Ghoul salmon shark marlin. Dusky grouper blue shark stargazer California smoothtongue oarfish, Australian grayling moray eel dartfish eel-goby snailfish orangespine unicorn fish Asian carps triplespine warty angler. Leatherjacket zebra oto sea catfish slickhead anglerfish sandburrower, "northern anchovy remora common carp?" Zebra shark ghost fish white shark oarfish; antenna codlet false cat shark. Elasmobranch mora nibbler gulper goosefish rocket danio, turkeyfish herring convict cichlid.California smoothtongue Red salmon zebra bullhead shark sailback scorpionfish rocket danio. Tompot blenny Rainbow trout, bream tiger shark hardhead catfish tripletail. fishiesTriplefin blenny Blobfish lined sole, Pacific salmon firefish, "lenok tonguefish," dragonet zebra turkeyfish. Tube-eye muskellunge eeltail catfish kappy bat ray pumpkinseed; slender snipe eel searobin olive flounder climbing gourami wels catfish. Sacramento blackfish, spiny dwarf catfish.  Sailbearer, lionfish, rock beauty! Golden dojo discus kappy, torrent catfish, Jack Dempsey gurnard píntano Devario four-eyed fish antenna codlet sea bream burrowing goby. Bighead carp gurnard, Steve fish; mud cat.
Why salmon cookies?
Lorem ipsum dolor sit amet consectetur adipisicing elit.  Asperiores vero fugiat, quae, cumque, deserunt error numquam non adipisci exercitationem perferendis corrupti mollitia doloremque dolore modi ea repudiandae molestiae ipsum. Minus!
Our Locations
- Seattle
- Tokyo
- Dubai
- Paris
- Lima
Working hour
- 6am
- 7am
- 8am
- 9am
- 10am
- 11am
- 12pm
- 1pm
- 2pm
- 3pm
- 4pm
- 5pm
- 6pm
- 7pm
- 8pm


Explore what others are discussing !
Find topics relevant to you and contribute your ideas with profesionals !
There are currently no ongoing discussions within your
locality.
Click on Create to propose topics relevant to you, others will soon join you to share their personal experience.
Please sign in or register and you will be able to create and propose topics relevant to you , others will then join you to share their personal experience.
Click on Create to propose topics relevant to you, others will soon join you to share their personal experience.
Please sign in or register and you will be able to create and propose topics relevant to you , others will then join you to share their personal experience.
Loneliness is a complex and usually unpleasant emotional response to isolation. Older
persons who are not in regular contact with the outside world and the community need
company to keep in touch with the outside world. Many services exist to help older
persons to socialise, but it is not always easy to access them. This topic requires a
thorough discussion on the challenges and solutions to enable social contact for older
persons and to identify who can help them fight isolation. [...]
STEP 1
Dublin, Ireland
July 5Th, 2018
Proposed by James542
24
Participants
Participant
View


LBM
NIHCOMPMED
e-machine 0.0.1 documentation
index
next
previous
Previous topic
Erasure Machine
Next topic
Small system
Quick search
Performance
¶
Small system
Weak interactions, and large sample size
Weak interactions, and small sample size
Strong interactions and large sample size
Strong interactions and small sample size
Large system
Weak interactions and large sample size
Weak interactions, and small sample size
Strong interactions and large sample size
Strong interactions and small sample size
Very large system
Weak interactions and large sample size
Weak interactions, and small sample size
Strong interactions


APIS AVAILABILITY : >
-
average rates
| days | total time | average uptime | average downtime | availability rate |
|---|
units
| unit | days | total time | uptime total | downtime total | availability rate | action |
|---|
| days | total time | average uptime | average downtime | availability rate |
|---|
| unit | days | total time | uptime total | downtime total | availability rate | action |
|---|


PLEASE READ THE FOLLOWING TERMS AND CONDITIONS OF USE CAREFULLY BEFORE USING THIS WEBSITE.
All users of this site agree that access to and use of this site are subject to the following
terms and conditions and other applicable law. If you do not agree to these terms and conditions,
please do not use this site.
Trademarks
Any trademarks or logos used throughout this website are the property of their respective
owners.
Copyright
The entire content included in this site, including but not limited to text, graphics or code is
copyrighted as a collective work under the copyright laws, and is the property of Komsu Komsu Hu Hu
Design and Manufacturing. Copyright 2015, Komsu Komsu Hu Hu Design and Manufacturing. ALL RIGHTS
RESERVED.
Use of Site
Harassment in any manner or form on the site, including via e-mail, chat, or by use of obscene
or abusive
language, is strictly forbidden. Impersonation of others, including a Komsu Komsu Hu Hu Design and
Manufacturing
or other licensed employee, host, or representative, as well as other members or visitors on the
site is prohibited.
You may not upload to, distribute, or otherwise publish through the site any content which is
libelous, defamatory,
obscene, threatening, invasive of privacy or publicity rights, abusive, illegal, or otherwise
objectionable which
may constitute or encourage a criminal offense, violate the rights of any party or which may
otherwise give rise to
liability or violate any law.


@import helper._ @main("About Us") {
JPL has provided a repository of web services for multi-aspect physics-based and phenomenon-oriented phenomenon-oriented climate model performance evaluation and diagnosis through the comprehensive and synergistic use of multiple observational data, reanalysis data, and model outputs.
We will help you learn the available web services, how to use them, and help you to design your climate analytics workflows.
Jia Zhang Personal Website
Seungwon Lee
Lei Pan
Benyang Tang
Chengxing Zhai
Wei Wang
Qihao Bao
Zuowei Xie
Lijun Xue
Kevin Dou
Roy Shi
Shenggu Lu
Weiyi Wang
Pinchao Wang
Kang Fang
Minghan Chen
Ruoxiao Wang
Ming Qi
Xing Wei
Chris Lee
Rao Li
Chenran Gong
Zelin Zeng
Xiatao Jin
Yichen Liu
Edward Huang
Zhiyu Lin
Jian Jiao
Juanchen Li
Hywel Wong
1. J. Zhang, C. Lee, S. Xiao, P. Votava, T.J. Lee, R. Nemani and I. Foster, "A Community-Driven Workflow Recommendations and Reuse Infrastructure", accepted by The 8th IEEE International Symposium on Service-Oriented System Engineering (SOSE 2014).
2. J. Zhang, D. Kuc, and S. Lu, "Confucius: A Tool Supporting Collaborative Scientific Workflow Composition", IEEE Transactions on Services Computing (TSC), 7(1), Jan.-Mar, 2014.[pdf]
20133. J. Zhang, Z. Li, O. Sandoval, N. Xin, Y. Ren, B. Iannucci, M. Griss, S. Rosernberg, R.A. Martin, J. Cao, A. Rowe, "Supporting Personizable Virtual Internet of Things", in Proceedings of The 10th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC-2013), Dec. 18-20, 2013, Vietri sul Mare, Italy.[pdf]
4. J. Zhang, N. Radia, Z. Li, N. Xin, Y. Ren, P. Sachdeva, P. Subramanyam, S. Hu, S. Luan, L. Lee, B. Xing, D. Li, J. Cao, T. Selker, B. Iannucci, M. Griss, A. Rowe, "An Infrastructure Supporting Considerate Sensor Service Provisioning", in Proceedings of the 6th IEEE International Conference on Service Oriented Computing and Applications (SOCA 2013), Dec. 16-18, 2013, Kauai, HA, USA.[pdf]
5. L.-J. Zhang and J. Zhang, "Service Oriented Solution Modeling and Variation Propagation Analysis based on Architectural Building Blocks", International Journal of Web Services Research (JWSR), 10(4), 2013.
6. J. Wang, Z. Feng, J. Zhang, P.C.K. Hung, K. He, and L.-J. Zhang, "A Unified RGPS-Based Approach Supporting Service-Oriented Process Customization", accepted as a book chapter in Web Services Foundations, edited by Athman Bouguettaya and Schahram Dustdar, Springer Verlag, pp. 657-682.
7. J. Zhang, P. Votava, T.J. Lee, S. Adhikarla, I. Kulkumjon, M. Schlau, D. Natesan, R. Nemani, "A Technique of Analyzing Trust Relationships to Facilitate Scientific Service Discovery and Recommendation", in Proceedings of 2013 IEEE 10th International Conference on Services Computing (SCC), Jun. 27-Jul. 2, 2013, Santa Clara, CA, USA, pp. 57-64. (acceptance rate: 18%)[pdf]
8. J. Zhang, B. Iannucci, M. Hennessy, K. Gopal, S. Xiao, S. Kumar, D. Pfeffer, B. Aljedia, Y. Ren, M. Griss, S. Rosenberg, J. Cao, A. Rowe, "Sensor Data as a Service - A Federated Platform for Mobile Data-Centric Service Development and Sharing", in Proceedings of 2013 IEEE 10th International Conference on Services Computing (SCC), Jun. 27-Jul. 2, 2013, Santa Clara, CA, USA, pp. 446-453.[pdf]
9. J. Zhang, P. Votava, T.J. Lee, O. Chu, C. Li, D. Liu, K. Liu, N. Xin, R. Nemani, "Bridging VisTrails Scientific Workflow Management System to High Performance Computing", IEEE 2013 7th International Workshop on Scientific Workflows (SWF), in Proceedings of 2013 IEEE 9th World Congress on Services (SERVICES), Jun. 27-Jul. 2, 2013, Santa Clara, CA, USA, pp. 29-36.[pdf]
10. B. Plale, M.R. Lyu, J. Zhang (Eds.), 2013 IEEE 20th International Conference on Web Services (ICWS), Jun. 27-Jul. 2, 2013, Santa Clara, CA, USA, IEEE 2013.
11. L.-J. Zhang and J. Zhang, "Technical Architecture of Enabling Body of Knowledge System for Effective Learning and Information Dissemination", International Journal of Web Services Research (JWSR), 10(2), 2013, pp. 41-62.[pdf]
12. I. Bojanova, J. Zhang, J.M. Voas, "Cloud Computing", IEEE IT Professional, 15(2), 2013, pp. 12-14.


I'm the type of person who does not have a clear dream. But whenever I find something that I interested in, I will try very hard to get it. I was not plan to apply for grad school when I was in my undergrad. Fortunately, I was given a good chance in my senior year, that was when I decided that I want to apply for grad school.
My life would have been totally different if I did not attend grad school. My mind would have been very "shallow" and "short". I would have never discovered the strength inside me.
There was one moment during my PhD that I felt very weak, I felt I was so much behind the pack. Then one of my supervisor told me, if I could pass the qualified exam, I am smart enough, so it is not matter of you are smart or not, it is the psycologist game that someone could handle. After that I am strong again to fight with all the negative though in my head about my ability.
There is no other training can be as tough as a PhD training. But what one could obtain from that is also unmeasurable. During PhD training, I learned how to think independent, how to work in a group, how to transfer knowledge and help young people and how to make myself become better. Overall, it's a way to discover yourself limit. Right now, I'm so confident to cope with anything. There is always a way to do something, just take time to figure out the way.
Several key points that very important for a successfull PhD: first, your advisor, I was lucky that my advisor was very supportive, I could never finished my PhD without her. She gave me strength, she gave me a clear path and direction. Second, be active searching for solution, if you got stuck for awhile, don't hesitate to search for help. Third, be master of what you are doing.
I enjoyed the project I worked on, it strengthen my quantitative skill, my problem solving skill and my coding skill as well. And I am proud to be a physicist too.
I'm writting these 28 days before my thesis defense =). . . And I am making transition to my next dream.
Jersey City, New Jersey, 09/23/2019


---
layout:
permalink: /
title: Home
---
{% include layouts/header.html %}
{% include layouts/navbar.html %}
Caption Text
Caption Text
Latest News
{% for post in site.posts limit:5 %}
-
{{ post.date | date_to_string }} »
{{ post.title }}
{% endfor %}
{% include layouts/footer.html %}


0
keystrokes per second
0
Last login: Sun Jan 24 04:24:16 on ttys01 [clack!atyper@local-pc ~]$
Assets
Upgrades
No assets unlocked yet! Play a bit.
No upgrades unlocked yet! Play a bit.


An exercise game that was the result of a group project aimed at helping people learn Tai Chi using the Microsoft Kinect.
A 2D game written in Python and created for a capstone game development course at the University of Alberta.
A Social media style website project created with Django, AngularJS, Node.js and Openshift, in a team of five.
Cache_22 is a story-based rhythm game with moral choice and dance battles, made with BioWare's Neverwinter Nights engine.
The Paris Site is a 3D animated short about Paris and its culture (with a small twist), made with 3ds Max.
A text adventure with visual elements, inspired by the theme of chess, and written in Python.
Travel Planner is an Android application designed to be a helpful tool for someone travelling on a budget.
A side project, Sensory Underload is a game made with Python with the restriction of using no visual elements.
My personal website, made with Html, Css, and Bootstrap, and hosted through Github Pages.


Text Retrieval Based on the LDA Model
Topic models like Latent Dirichlet Allocation have been widely applied
to different fields. However, even text retrieval is naturally related
to latent topics of a corpus, the application of the LDA model in this
field is still novel. In this paper, I try to study how to use the LDA
model to retrieve relevant documents for a given query. I propose a text
retrieval system based on the LDA model, and test the accuracy and
efficiency of the system on TREC Ad Hoc 8 collection. The experiment
shows that text retrieval based on the LDA model is helpful and doable.
Keywords: latent dirichlet allocation, text retrieval, topic modeling
Introduction
Text retrieval is a branch of information retrieval but the information
is stored primarily in the form of text. It has become increasingly
critical today, since it is the fundamental basis of all internet search
engines. In previous researches, documents are typically represented by
the “bag-of-words” model, which assumes the order of every word in a
document is exchangeable. This model enables researchers to reduce each
document to a vector of counts of words, and process a corpus as a large
sparse matrix[@lda].
Modeling large corpus has been studied since the introduction of
tf-idf scheme [@tfidf]. After that, information retrieval (IR)
researchers have proposed several notable techniques like Latent
Semantic Indexing probabilistic Latent Semantic Indexing(pLSI). These
models aim to reduce dimensions of corpus and represent documents by
latent “topics”. Recently, Latent Dirichlet Allocation (LDA)[@lda] has
become the most popular model in machine learning community. LDA is
similar to pLSI, but it is basically a Bayesian version of pLSI because
it assumes the topic has a Dirichlet prior distribution. Thus topics
inferred by LDA are more interpretable than pLSI. Since the LDA model is
highly extendable, many LDA-based models such as supervised topic
modeling[@slda] and correlated topic models[@ctm] have been proposed
to the present.
The LDA model has been cited and applied extendedly in text-based fields
including bioinformatics, document clustering, web mining and spam
detection. However, application of LDA in IR field is still novel.
Therefore, I propose a LDA-based model to retrieval text in this paper.
Section 2 introduces related work of the LDA-based model, and the Ad Hoc
test collection 8 from Text REtrieval Conference (TREC). I explain the
LDA-based retrieval model in Section 3. Section 4 shows the experiments
and results of the LDA-based retrieval model on TREC Ad Hoc test
collection 8. Conclusion and further work are given and discussed in
Section 5.
Related Work
Latent Dirichlet Allocation
Blei, Ng and Jordan (2003) proposed a widely used topic model in natural language processing, latent dirichlet allocation (LDA). LDA is a three-level hierarchical Bayesian model capable of automatically discovering latent topics of documents in a corpus. LDA uses a generative model to explain how the observed words in documents of a corpus are generated from the topic (latent variables). The following graph shows the graphical model representation of LDA:\
The Figure 2.1 is “plates” representing LDA. The outer plate represents documents, while the inner plate represents the repeated choices of topics and words within a document. M denotes the number of documents of the corpus, N is the number of words in a document, and V indicates the vocabulary size of the corpus. Blei and Ng define the following terms:
-
$\alpha$ is the parameter of the Dirichlet prior of the per-document topic distribution.
-
$\beta_i$ is the word distribution for topic $z$.
-
$\theta_m$ is the topic distribution for document $m$.
-
$z_{mw}$ is the topic of word w in document $m$.
LDA assumes the following generative process for each document $m$ in a corpus:
-
Choose $N\sim Poisson\left( \xi \right)$.
-
Choose $\theta \sim Dir\left( \alpha \right)$.
-
For each word $w_n$ : Choose a topic $z_n \sim Multinomial \left( \theta \right)$. Choose a word $w_n \sim Multinomial \left( z_n \right)$.
Based on variation inference or Gibbs sampling, the LDA model is widely implemented for information retrieval, classification and summarization. In addition, Blei has proposed correlated topic models[@ctm] and supervised topic models[@slda], which are direct extensions of the original LDA model.
Text REtrieval Conference: Ad Hoc Test Collection
While LDA has been utilized and extended to different fields, its
application in text retrieval is still novel. The Text REtrieval
Conference (TREC) provides large test collections to promote progress on
text retrieval[@trec].
The Text REtrieval Conference is co-sponsored by the National Institute
of Standards and Technology (NIST) and the U.S. Department of Defense,
and was started in 1992. The basic goal of TREC is to help researchers
develop better text retrieval systems and encourage communication among
text retrieval researchers [4]. During the last 25 years, the number
of participants has increased, and the retrieval tasks and data
collection have been optimized.
Every TREC conference has two tasks: the routing task and the ad hoc
task. The ad hoc task provides roughly 2 Gigabytes of documents, 50 new
topics (queries) and relevant judgments that either are relevant or not
for each topic-document pair. Documents are tagged by different sections
and researchers can easily parse them by programming. Fig.1 shows a
document in TREC Ad Hoc 8 collection. A typical topic (See Fig.2)
contains 3 parts: topic title, description and narrative. Its length is
usually longer than a real query. However, the length maintains the
clarity of topics.\
{width=”100.00000%”}
{width=”100.00000%”}
Different retrieval systems can be trained on the corpus and topics (queries), and evaluated on the relevant judgments. 8 TREC Ad Hoc collections have been used and archived to the present, and TREC Ad Hoc collection 8 might be the best subcollection to use in text retrieval evaluation because it is the largest test collection and the topics are more consistent [5]. The documents in TREC Ad Hoc 8 are collected from 4 different sources: The Federal Register, The Financial Times, The LA Times and The Foreign Broadcast Information Service, and the relevant judgment of each topic-document pair is assumed to be complete. My task is to retrieve relevent documents for any given query.
LDA based Text Retrieval
A text retrieval system has two main tasks: finding relevant documents
for users by matching their queries and evaluating and sorting the
matching results according to relevance. This section mainly illustrates
how to retrieve documents relevant to a given query. To simplify the
retrieval process, I assume given a query I would know several relevent
and non-relevent documents before I retrieve more documents from the
whole corpus.
To effectively apply topic modeling to corpus, the first step is to
clean corpus and represent documents by vector of words. Naturally,
there are punctuations, capitalized letters, numbers, and commons words
such as the, a, and in an English article, but we commonly remove
them, because they are basically nosies in natural language processing
techniques. Meanwhile, a word might be in different forms in a document.
For instance, math, mathematics, mathematical share similar
meaning, and treating them as a single token math would be more
informative and useful in topic modeling. Stemming process reduces
words to their root. Moreover, using n-gram model on corpus would
increase accuracy of topic modeling because n-gram is more likely to
capture more topic-related phrases than single word.
The process of retrieve relevant documents is as follows:
-
Tokenize, remove stop words and stem every document in the corpus.
-
Process bi-gramming on every document, and remain bi-grams which are statistically significant in the corpus.
-
Perform the LDA model to detect latent topics of documents.
-
Predict if a document is relevent to the given query based on the similarity of distribution of latent topics between the document and the known relevant and non-relevent documents.
-
Return predicted relevent documents.
Experiments and Results
Data
I conducted text retrieval experiment on 3000 sample documents from TREC
Ad Hoc 8 collection with 10 queries from topic 401-450 , because
bigramming and fit the LDA model on a sample corpus are considerably
less time consuming than the whole TREC Ad Hoc 8 collection. The whole
corpus, queries and relevent judgements are same as participants used in
TREC. Therefore, I can easily extend the experiment on the whole TREC Ad
Hoc 8 collection, and compare the result with other participants’ in the
next step.
Since relevent judgment for each query-document pair is available, each
time I tried to experiment on a query, I randomly split the relevent
documents into training set and test set, and training set accounts 10%
of all relevent documents.
Retrieval
After mixing all relevent documents with sample documents, cleaning and
bigramming the corpus, I fit the LDA model on the corpus. In this
experiment, the correlated topic model (CTM) generally preformed
better than the original LDA model, because the query usually contains
several related topics, and CTM is capable of capturing correlated
latent topics. Tuning the number of latent topics by cross validation, I
found setting $k=30$ would be the best choice here.
CTM model returned the topic distribution for each document in the
corpus. Given the training set, I could measure which document in the
rest documents is similar to the training set, which means the document
is relevent to the query. To measure the similarity, I used Support
Vector Machine (SVM) to classify the documents in the test set. SVM is
a powerful algorithm to classify linear or non-linear data [@svm].
Result
For each query, I ran 10 folds cross validation on relevant documents, and recorded the average precision and recall rate as in Table 4.1. The retrieval results of different queries are generally stable and consistent. Most average precisions are around 0.3 to 0.4, and the best average precision is 0.4144. recalls are around 0.4 to 0.5. With regard to recall, the average recalls basically range from 0.4 to 0.5, and the best average recall is 0.5337.\
precision recall ----------- ----------- --------
query 434 0.4144 0.3335
query 401 0.3209 0.5244
query 450 0.3597 0.4155
query 439 0.3040 0.5337
query 426 0.3581 0.4873
query 436 0.3353 0.5060
query 438 0.2985 0.5091
query 424 0.3562 0.5300
query 425 0.3814 0.4824
query 446 0.3307 0.5120
: Average Precision and Recall rate of the 10 queries
Conclusion and Future Work
Comparing with previous TREC results[@trec] (shown in Figure 4.1), the LDA based retrieval model is acceptable and doable. Obviously, the LDA model is a feasible and promising algorithm to improve text retrieval system. Topic modeling can help retrieval system better identify relevant documents based on inference of latent topic within a corpus.
The LDA model has many attractive features; however, applying it in a
large corpus like the whole TREC Ad Hoc 8 collections seems challenging.
In my experiment, I merely bigrammed and fit CTM model on 3000
documents, because as corpus size increases, bigramming and fitting CTM
model on larger corpus become essentially time comsuming. Using a cloud
server and parallelizing the process might be necessary to apply the LDA
model to real-world dataset. Moreover, I assumed that I knew part of
relevent documents given the query, and tried to find other relevent
documents based on the known relevent documents. In real text retrieval
system, given a new query, I might not know any relevent document.
Identifying the most relevent documents would be the first problem for
this test retrieval system.
For future work, I would enlarge the size of corpus in my retrieval
experiment; meanwhile, expedite bigramming and LDA fitting process by
using Spark[@ldaspark] on cloud. In addition, query likelihood
model[@ldabased] might be a possible way to identify most relevent
documents as training set for LDA-based text retrieval system.
[9]{}
Blei, David M., Andrew Y. Ng, and Michael I. Jordan. “Latent dirichlet allocation.” Journal of machine Learning research 3.Jan (2003): 993-1022.
Salton, Gerard, and Michael J. McGill. “Introduction to modern information retrieval.” (1986).
Mcauliffe, Jon D., and David M. Blei. “Supervised topic models.” Advances in neural information processing systems. 2008.
Blei, David, and John Lafferty. “Correlated topic models.” Advances in neural information processing systems 18 (2006): 147.
Voorhees, Ellen M., and Donna Harman. “Overview of the sixth text retrieval conference (TREC-6).” Information Processing & Management 36.1 (2000): 3-35.
Blair, David C., and Melvin E. Maron. “An evaluation of retrieval effectiveness for a full-text document-retrieval system.” Communications of the ACM 28.3 (1985): 289-299.
Latent Dirichlet allocation on Spark:
http://spark.apache.org/docs/latest/mllib-clustering.html#latent-dirichlet-allocation-lda
Wei, Xing, and W. Bruce Croft. “LDA-based document models for ad-hoc retrieval.” Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. ACM, 2006.
Manning, Christopher, et al. Introduction to Information Retrieval, Cambridge University Press. 2008.
Tong, Simon, and Daphne Koller. “Support vector machine active learning with applications to text classification.” Journal of machine learning research 2.Nov (2001): 45-66.