Introduction to Flink Streaming - Part 5 : Window API in Flink
In recent years, there is been a lot of discussion on stateful stream processing. When initial open source stream processor like storm came along, stream processing was viewed as the faster batch processing. The API’s were more geared towards the stateless ETL pipelines. But as realtime/ stream processing became more and more important having stateful processing became necessary. So all modern stream processing frameworks have varied degree of support to do stateful operations.
Window is one of the way to define continuous state across the stream. So in the fifth blog of the series, I will be discussing about window support in flink API. You can access all the posts in the series here.
TL;DR All code is written using Flink’s scala API and you can access it on github.
Window in Streaming
Window is a mechanism to take a snapshot of the stream. This snapshot can be based on time or other variables. For example, if we create a window for 5 seconds then it will be all the records which arrived in the that time frame. You can define the window based on no of records or other stream specific variables also.
Types of window in Flink
Flink support wide variety of window operations. The different windows supported in flink are
- Time Windows
- Tumbling Windows
- Sliding Windows
- Count Windows
Creating KeyedDataStream
Before we discuss about each of above windows, we need to be aware of one fact. Most of the window operations are encouraged to be used on KeyedDataStream. A KeyedDataStream is a datastream which is partitioned by the key. This partitioning by key allows window to be distributed across machines resulting in good performance. The following code shows how to create a KeyedDataStream from data coming from the socket.
val source = env.socketTextStream("localhost",9000)
val values = source.flatMap(value => value.split("\\s+")).map(value => (value,1))
val keyValue = values.keyBy(0)
In above example, we are reading data and creating a stream named source. Once we receive the data we are extracting the words using flatMap and map operators. Once we have a tuple, we are creating a KeyedDataStream using keyBy operation. Once we have a KeyedDataStream, we can start defining the window.
You can also define windows on non keyed stream. But they often result in poor performance. So I will be not discussing them here.
Tumbling Window
We have already seen this window on our earlier post. In this section we will be discussing little more.
A tumbling window is a time based window which tumbles once the window is evaluated. In essence, all the state and records of the window will be purged once the window evaluates. This kind of window is very useful for dividing stream in to multiple discrete batches.
The below code shows how to create a tumbling window
val tumblingWindow = keyValue.timeWindow(Time.seconds(15))
To create a tumbling window, we use timeWindow API. In above example, stream will be evaluated for every 15 seconds. Here we are calculating the word counts for every 15 seconds.
Sliding window
Sliding window is one of most known windowing in streaming. They usually used for keeping running count for a distant past. They allow us to answer questions like “what is word count for last 5 seconds”?.
Sliding window is also a time based window. The only difference with tumbling window is, an element can belong to multiple windows in sliding window compared to only one window in case of tumbling window. So sliding window normally creates overlapping windows compared to discrete windows in tumbling window.
val slidingWindow = keyValue.timeWindow(Time.seconds(15),Time.seconds(15))
In above example, we are calculating wordcount for last 15 seconds, in each 5 second interval.
Count based windows
The above two windows were based on time. But in flink we can define windows on other properties also. One of them is count windows. As name suggests, count window are evaluated when no of records received hits the threshold.
val countWindow = keyValue.countWindow(5)
The above code defines a count window which fires for after every 5 records. Please note that as the stream is keyed, for each key it tracks no records not across the multiple keys.
You can access complete code for all the three window here.
Running with examples
Window operations are hard to wrap mind around without examples. So in the next few sections we are going to discuss how to run these examples with sample data and understand their behavior. You can run this example from IDE or in local mode. But before running you need to make sure comment out the non necessary outputs. For example, when you are running tumbling window make sure you comment out the below lines in the code.
slidingWindow.sum(1).name("slidingwindow").print()
countWindow.sum(1).name("count window").print()
We comment out these lines just to make sure they don’t interfere with our output. Follow the same for other two also.
All the input is entered in stadin of nc command. You can start socket for the program using below command
nc -lk localhost 9000
Running tumbling window
We are going to run tumbling window in this section. Enter the below lines one by one with in 15 seconds on nc stdin.
hello how are you
hello who are you
You will observe the below result once 15 seconds are done.
(hello,2)
(you,2)
(are,2)
(who,1)
(how,1)
If you wait for sometime and enter same lines you will observe that the count is reset and you get same result as above. So this shows how tumbling window discretized the stream.
Running sliding window
In this section we are going to run sliding window.
If you send the same lines as above in the beginning you will see the result is printed thrice. The reason being, we created a window for 15 seconds which is three times of the 5 seconds. So when window evaluates every 5 seconds, it recalculates the same result. You can add more rows in between to observe how count changes.
Running count window
In this section, we are going to run count based windows.
If you send those two lines, nothing will be printed. The reason is no key has a count of 5.
Enter the same lines again. Nothing will be printed. Again we have not yet hit the threshold.
Enter the first line again. Now you will see the below result.
(are,5)
(hello,5)
(you,5)
So as soon as the the count hits 5 window will be triggered. So from the example it’s apparent the count is kept for a key not across keys.
So window API in flink is very powerful compared to other frameworks. These constructs should allow you to express your application logic elegantly and efficiently.
Compared to Spark Streaming API
This section is only applicable to you, if you have done spark streaming before. If you are not familiar with Apache Spark feel free to skip it.
You can simulate the tumbling window using sliding window operation available in spark. If both window duration and sliding duration is same, you get tumbling window.
Sliding windows are supported as first class citizens.
Count based window is not supported in spark streaming. As windowing system of spark is tightly coupled with time, no builtin support for other types of window are there as of now.
References
Introducing Stream Windows in Apache Flink - https://flink.apache.org/news/2015/12/04/Introducing-windows.html.


Only rerun builds that are the same as or worse than the value provided here.
If SUCCESS is specified, then the build will always be retried if the log matches.
SUCCESS


File Updater.lua
Functions
| Updater:isCopyExcluded (f) | Determine if a particular sub-path is to be excluded from copying from source of update to target. |
| Updater:isPurgeExcluded (f) | Determine if a particular sub-path is to be excluded from purging from updated target. |
| Updater:migratePrefsAndSets (subdir) | Migrate plugin preferences. |
| Updater:migrateSpecials () | Migrate special plugin files. |
| Updater:new (t) | Constructor for new instance object. |
| Updater:newClass (t) | Constructor for extending class. |
| Updater:syncTree () | Sync source tree to target tree. |
| Updater:updatePlugin () | Updates plugin to new version (must be already downloaded/available). |
Functions
- Updater:isCopyExcluded (f)
-
Determine if a particular sub-path is to be excluded from copying from source of update to target.
Parameters:
-
f
: sub-path relative to lrplugin dir
-
- Updater:isPurgeExcluded (f)
-
Determine if a particular sub-path is to be excluded from purging from updated target.
Parameters:
-
f
: sub-path relative to lrplugin dir
-
- Updater:migratePrefsAndSets (subdir)
-
Migrate plugin preferences.
Parameters:
-
subdir
:
Usage:
Default implementation simply transfers plugin preference backing files.
Override in extended class to translate legacy preferences (backed or reglar) to new, if desired.Return value:
- number of errors encountered.
-
- Updater:migrateSpecials ()
-
Migrate special plugin files.
Usage:
In case some files require special handling instead of just copying.
Prime examples are auto-generated metadata module files.
Excludes preferences which are handled more specifically (see migrate-prefs method). - Updater:new (t)
-
Constructor for new instance object.
Parameters:
-
t
: initial table - optional.
Usage:
Construct new updater with the default of no copy exclusions, and excluding preferences from being seen as extraneous and purging.
-
- Updater:newClass (t)
-
Constructor for extending class.
Parameters:
-
t
: initial table - optional.
-
- Updater:syncTree ()
- Sync source tree to target tree.
- Updater:updatePlugin ()
- Updates plugin to new version (must be already downloaded/available).


Review your details
Please check all of the details for your pharmacy and the services offered by it. You will be able to make changes, if required, at the next step.
Boots Pharmacy - Ivybridge
ODS Code
FEF88
Public phone
01752896787
Address
Boots Pharmacy,
2-3 Erme Terrace,
Station Road,
Ivybridge,
Devon
Post Code
PL21 0AL
Town (set from postcode)
Bourton-on-the-Water xyz
Website
http://www.boots.com/en/Store-Locator/Boots-Ivybridge-Station-Road/
Opening hours
Monday 09:00 – 17:30
Tuesday 09:00 – 17:30
Wednesday 09:00 – 13:00
14:00 – 18:30
Thursday 09:00 – 13:00
14:00 – 18:30
Friday 09:00 – 17:30
Saturday Closed
Sunday Closed
Bank holidays
Good Friday
30 December 2018 09:00 – 12:00
Easter Monday
02 April 2018 Closed
Early May
07 May 2018 Closed
Other dates
30/03/2018 Closed


POSTS
Introduction to yt Templating
yt
uses Go’s text/template
package for templating.
The following is only a primer on Go Templates, adapted from Hugo’s documentation. For an in-depth look into Go Templates, check the official Go docs.
Go Templates provide an extremely simple template language that adheres to the belief that only the most basic of logic belongs in the template or view layer.
Basic Syntax
Go Templates are files with the addition of variables and functions. Go Template variables and functions are accessible within {{ }}
.
Access a Predefined Variable
A predefined variable could be a variable already existing in the
current scope (like the .Title
example in the Variables section below) or a custom variable (like the
$address
example in that same section).
{{ .Title }}
{{ $address }}
Parameters for functions are separated using spaces. The general syntax is:
{{ FUNCTION ARG1 ARG2 .. }}
The following example calls the add
function with inputs of 1
and 2
:
{{ add 1 2 }}
Methods and Fields are Accessed via dot Notation
Accessing the variable bar
:
{{ .bar }}
Parentheses Can be Used to Group Items Together
{{ if or (isset . "alt") (isset . "caption") }} Caption {{ end }}
Variables
Each Go Template gets a data object. In yt
, this is the main
data source - either STDIN or a named file.
{{ .Title }}
Values can also be stored in custom variables and referenced later:
The custom variables need to be prefixed with
$
.
{{ $address := "123 Main St." }}
{{ $address }}
Functions
Go Templates only ship with a few basic functions but also provide a mechanism for applications to extend the original set.
[yt template functions][functions] provide additional functionality specific to building websites. Functions are called by using their name followed by the required parameters separated by spaces.
Example 1: Adding Numbers
{{ add 1 2 }}

Example 2: Comparing Numbers
{{ lt 1 2 }}

Note that both examples make use of Go Template’s [math functions][].
There are more boolean operators than those listed in these docs in the Go Template documentation.
Includes
When including another template, you will need to pass it the data that it would need to access.
To pass along the current context, please remember to include a trailing dot.
Templates
The [template
][template] function is used to include additional templates using
the syntax {{ template "_internal/<TEMPLATE>.<EXTENSION>" . }}
.
Example:
{{ template "myreport.tpl" . }}
Logic
Go Templates provide the most basic iteration and conditional logic.
Iteration
The Go Templates make heavy use of range
to iterate over a map,
array, or slice. The following are different examples of how to
use range
.
Example 1: Using Context (.
)
{{ range $array }}
{{ . }}
{{ end }}
Example 2: Declaring a variable name for an array element’s value
{{ range $elem_val := $array }}
{{ $elem_val }}
{{ end }}
Example 3: Declaring variable names for an array element’s index and value
For an array or slice, the first declared variable will map to each element’s index.
{{ range $elem_index, $elem_val := $array }}
{{ $elem_index }} -- {{ $elem_val }}
{{ end }}
Example 4: Declaring variable names for a map element’s key and value
For a map, the first declared variable will map to each map element’s key.
{{ range $elem_key, $elem_val := $map }}
{{ $elem_key }} -- {{ $elem_val }}
{{ end }}
Conditionals
if
, else
, with
, or
, and and
provide the framework for handling conditional logic in Go Templates. Like range
, each statement is closed with an {{ end }}
.
Go Templates treat the following values as false:
false
(boolean)- 0 (integer)
- any zero-length array, slice, map, or string
Example 1: with
It is common to write “if something exists, do this” kind of
statements using with
.
with
rebinds the context.
within its scope (just like inrange
).
It skips the block if the variable is absent, or if it evaluates to “false” as explained above.
{{ with .title }}

{{ . }}

{{ end }}
Example 2: with
.. else
Below snippet uses the “description” front-matter parameter’s value if
set, else uses the default .Summary
[variable]:
{{ with . "description" }}
{{ . }}
{{ else }}
{{ .Summary }}
{{ end }}
Example 3: if
An alternative (and a more verbose) way of writing with
is using
if
. Here, the .
does not get rebinded.
Below example is “Example 1” rewritten using if
:
{{ if isset . "title" }}

{{ index . "title" }}

{{ end }}
Example 4: if
.. else
Below example is “Example 2” rewritten using if
.. else
, and using
[isset
function][isset] + .
variable instead:
{{ if (isset . "description") }}
{{ index . "description" }}
{{ else }}
{{ .Summary }}
{{ end }}
Example 5: if
.. else if
.. else
Unlike with
, if
can contain else if
clauses too.
{{ if (isset . "description") }}
{{ index . "description" }}
{{ else if (isset . "summary") }}
{{ index . "summary" }}
{{ else }}
{{ .Summary }}
{{ end }}
Example 6: and
& or
{{ if (and (or (isset . "title") (isset . "caption")) (isset . "attr")) }}
Pipes
One of the most powerful components of Go Templates is the ability to stack actions one after another. This is done by using pipes. Borrowed from Unix pipes, the concept is simple: each pipeline’s output becomes the input of the following pipe.
Because of the very simple syntax of Go Templates, the pipe is essential to being able to chain together function calls. One limitation of the pipes is that they can only work with a single value and that value becomes the last parameter of the next pipeline.
A few simple examples should help convey how to use the pipe.
Example 1: shuffle
The following two examples are functionally the same:
{{ shuffle (seq 1 5) }}
{{ (seq 1 5) | shuffle }}
Example 2: index
The following accesses a yaml key called “title”. This example also uses the [index
function][index], which is built into Go Templates:
{{ index . "title" }}
Example 3: or
with isset
{{ if or (or (isset . "title") (isset . "caption")) (isset . "attr") }}
Stuff Here
{{ end }}
Could be rewritten as
{{ if isset . "caption" | or isset . "title" | or isset . "attr" }}
Stuff Here
{{ end }}


Abilities
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Save
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--- layout: default permalink: calendar.html --- Events Calendar The ACSU holds a number of academic, corporate, and social events throughout the year. Click the Join tab for more updates!
The ACSU holds a number of academic, corporate, and social events throughout the year. Click the Join tab for more updates!


Before Change
raise JobError("could not extract the nodes names for "
"reservation "%s"" % valid_reservation)
completed = os_ext.run_command(
"scontrol -a show -o %s" % reservation_nodes, check=True)
node_descriptions = completed.stdout.splitlines()
return {SlurmNode(descr) for descr in node_descriptions}
def _get_nodes_by_name(self, nodespec):
After Change
return nodes
def _get_reservation_nodes(self, reservation):
completed = _run_strict("scontrol -a show res %s" % reservation)
node_match = re.search(r"(Nodes=\S+)", completed.stdout)
if node_match:
reservation_nodes = node_match[1]
else:


The Internet Corporation for Assigned Names and Numbers (ICANN) is an internationally organized, non-profit corporation that has responsibility for Internet Protocol (IP) address space allocation, protocol identifier assignment, generic (gTLD) and country code (ccTLD) Top-Level Domain name system management, and root ...
As a private-public partnership, ICANN is dedicated to preserving the operational stability of the Internet; to promoting competition; to achieving broad representation of global Internet communities; and to developing policy appropriate to its mission through bottom-up, consensus-based processes.
What ICANN actually does?
To reach another person on the Internet, you type in address into your device a name or a number. That address must be unique so computers know where to find each other. ICANN maintains and administers these unique identifiers across the world. Without icons management of this system the domain name system of DNS as it is known, we wouldn't have a global scalable internet where we can find each other. Within icons multi-stakeholder model, civil society and Internet users, the private sector, national and international organizations, governments, research, academic and technical communities are all represented.
ICANN's Commmunity Driven Policy: To keep pace with dynamic technologies and rapid innovation icon enables consensus driven multi-stakeholder policy development with broad representation from the global Internet community.
Functions which ICANN coordinates:
Security and Stability: ICANN support DNS security through technical training and engagement, coordinating and collaborating with the community in the implementation of standards such as DNSSec.
Interoperability: ICANN's work enables new technologies to flourish while maintaining interoperability across the global Internet. For example, management of the unique Protocol identifiers allows communication using secure connections between users.
Who is involved in ICANN?
A number of groups each of which represents a different interest on the internet, all of them come together with the board of directors the supporting organizations on:
The Advisory Committee


The CssLayout
component has one predefined style - v-component-group
.
All other containers have three predefined styles that should be used with attribute showAsPanel
which
should has true
value:
You can set these styles to the container using the stylename
attribute either in the XML descriptor or
in the screen controller using constants from HaloTheme
class.


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Gardens
Manage Gardens
Add Garden
Owners
Manage Owners
Add Owner
Features
Manage Features
Add Feature
Users
Manage Users


northwestern-mutual
Businessmodel of Northwestern Mutual
Customer Segments
Northwestern has a mass market business model, with no significant differentiation between customers. The company targets its offerings at all consumers seeking insurance services.
Value Proposition
Northwestern offers three primary value propositions: accessibility, risk reduction, and brand/status.
The company creates accessibility by offering a wide variety of options. It has acquired many firms since its origin, which has enabled it to greatly expand and diversify its offerings. Its products include life insurance, long-term care insurance, disability income, investments, annuities, and investment advisory products and services. Meanwhile, its services include retirement planning, estate planning, business planning, education planning, trust and private client services, and consultation on wealth and asset income protection.
The company reduces risk by maintaining high safety and security standards. It operates a Special Investigations Unit (SIU) whose purpose is to prevent, detect, investigate, and resolve potential fraud. It also works to assist law enforcement authorities in prosecuting confirmed offenders.
The company has established a powerful brand due to its success. It is the largest direct provider of individual life insurance in the U.S., placing first in market share. It ranks among the top 10 independent broker-dealers in terms of total revenues, with $27.9 billion in revenues in 2015. It manages $238.5 billion in assets and over $1.6 trillion worth of life insurance protection. It has 4.4 million customers and has a 96% persistency rate (a measure of customer retention) for life insurance in force. It has the highest financial strength ratings awarded by three of the major rating agencies: A.M. Best Company (A++), Fitch Ratings (AAA), and Moody’s Investors Service (Aaa). Lastly, it has won many honors, including a ranking at #100 on the 2016 Fortune 500 and recognition as one of the “World’s Most Admired” life insurance companies by Fortune.
Channels
Northwestern’s main channels are its website and its direct sales team. The company promotes its offering through its social media pages, sports sponsorships, and participation in conferences.
Customer Relationships
Northwestern’s customer relationship is primarily of a self-service, automated nature. Customers utilize its products and services while having limited interaction with employees. The company’s website features a “Northwestern Mutual Learning Center“ that includes self-help resources such as articles, white papers, brochures, commentaries, podcasts, webcasts, educational videos, and calculators.
It also has a “Studies and Research” section that includes studies and polls on financial topics. That said, there is a personal assistance component in the form of phone and e-mail support.
Key Activities
Northwestern’s business model entails designing and developing its products and services for customers.
Key Partners
Northwestern’s key partners are the suppliers who provide materials and equipment it needs to run its daily operations. These items include the following:
- Awards, Plaques, Engraving
- Computer Hardware & Supplies
- Envelopes, Stationary
- Office Furniture
- Printed Materials
- Software Sales & Support
- Catering
- Consulting Services
- MRO Supplies
- Office Supplies
- Restaurant Supplies ### Key Resources
Northwestern’s main resources are its human resources, who include the insurance professionals who design and develop its products and services, the sales employees who promote and sell them, and the customer service employees who provide support.
Cost Structure
Northwestern has a cost-driven structure, aiming to minimize expenses through significant automation and low-price value propositions. Its biggest cost driver is cost of insurance benefits provided. Other major drivers are in the areas of sales/marketing and administration, both fixed costs.
Revenue Streams
Northwestern has three revenue streams:
- Premium Revenues – Consist of insurance premiums earned from the sale of universal life insurance, disability insurance, long-term care insurance, and annuities.
- Net Investment Income – Consists of dividends, interest, and prepayment fees received or accrued on bonds, mortgage loans, preferred and common stocks, policy loans, and other investments.
- Other Income – Consists of ceded reinsurance expense allowances and various insurance policy charges.


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- Selected: Age 23
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UVic FitConnect Program


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|
Finite Geometry Notes
|
PROBLEM: Let M be an nxn square (0,1) matrix with exactly k 1's in each row and exactly k 1's in each column. What conditions on n, k, and the arrangement of the 1's in the matrix are necessary and sufficient for there to exist permutations of rows and/or columns that make M a symmetric matrix?
The problem was suggested by point-line duality in a finite projective plane. The problem was also suggested by Weyl's remarks in his classic book Symmetry and by the aesthetics of the following quotations:
"Contrary to John Keats's First and Second Laws of Aesthetics ('Beauty is truth, truth beauty') truth and beauty are poles apart. Keats's ode itself, while denying this by precept, bears it out by example. Truth occupies the alethic pole of the intellectual sphere and beauty the aesthetic pole. Each is admirable in its way. The alethic pole exerts the main pull on science, in the broad sense: Wissenschaft, comprising mathematics, history, and all the hard and soft sciences in between. The aesthetic pole is the focus of belles lettres, music, art for art's sake."
-- W. V. Quine in Quiddities, Harvard University Press, 1987.
"The beauty we find is from
the comparison we make....
Beauty therefore is a relation,
and the apprehension of it
a comparison."
-- Gerard Manley Hopkins,
"On the Origin of Beauty."
"Truth, or reality, in other words,
is to be found in what James called
'the relations perceived' between facts--
not in the facts themselves."
-- Andrew Delbanco,
New York Times Book Review,
January 29, 1995.
For a more precise formulation of the problem, see the following HTML transcription of a typed query sent to various mathematicians in 1986.
Entities are not to be needlessly multiplied. -- William of Ockham (?)
Given disjoint n-sets A and B, and an integer k with 1 LE k LE n, there exists at least one duality(Example: point-line incidence in a projective plane, for certain values of n and k. See also Ryser (3), and consider cyclic Latin squares.)
Let C = {1, 2, ..., n} and let a:C-->A, b:C-->B be bijections. For c in C, let
cR = {y in C: a(c)Rb(y)},
Rc = {x in C: a(x)Rb(c)}.
If there exist a and b such that cR = Rc for all c in C, then with respect to R the sets A and B differ only nominally, and may be replaced by the single set C. In this case we can say the duality R is symmetric. (See Coxeter (1), which cites Hall (2).)
Update of May 31, 2004:
Clearly I should have thought harder about the problem, since Douglas West yesterday easily supplied the following example. He says,
"The matrix below is not symmetrizable, because it has two identical rows but does not have two identical columns. It is easy to construct such examples, and I don't think that avoiding identical rows and columns (or disjoint rows and columns) is sufficient."
1 1 0 1 0 0
1 0 1 0 1 0
1 1 0 1 0 0
0 0 1 1 0 1
0 1 0 0 1 1
0 0 1 0 1 1
From Igor V. Dolgachev's
"Abstract Configurations in Algebraic Geometry" (pdf),
published in Proceedings of the Fano Conference
(Torino, Italy, 29 Sept.-5 Oct. 2002), A. Conte, A. Collino, and
M. Marchisio, eds., Univ. Torino 2004, pp. 423-462:
"ABSTRACT. An abstract (vk, br)-configuration is a pair of finite
sets of cardinalities v and b with a relation on the product of the sets such that each
element of the first set is related to the same number k of elements from the second set and,
conversely, each element of the second set is related to the same number r of elements in the
first set. An example of an abstract configuration is a finite geometry. In this paper we discuss
some examples of abstract configurations and, in particular, finite geometries, which one encounters in algebraic geometry."
Dolgachev discusses what he calls symmetric configurations, those in which v=b and k=r.
This seems to be the proper context for the above problem.
REFERENCES


THUNAR(1) [FIXME: manual] THUNAR(1) NAME Thunar - File Manager for the Xfce Desktop Environment SYNOPSIS Thunar [options] [[URI]...] Thunar [options] --bulk-rename [[URI]...] Thunar [options] --quit DESCRIPTION Thunar is a fast and easy to use file manager for the Xfce Desktop Environment. It has been designed from the ground up to be lighweight with special focus on usability. Its user interface is clean and intuitive, and does not include any confusing or useless options. INVOCATION Thunar takes a list of URIs for folders that should be opened in new file manager windows or files that should be run using the default application for their types. The URIs may be specified as either file: or trash: URIs, absolute paths or paths relative to the current directory from which Thunar is being invoked. If no URIs are specified, the current folder will be opened in a new file manager window. When the --bulk-rename option is specified no file managers windows will be opened, but instead the URIs will be passed to the bulk renamer. The bulk renamer allows to rename several files or folders at once using different renamer modules. Options -?, --help Print brief help and exit. -v, --version Print version information and exit. -B, --bulk-rename Open the URIs in a standalone window of the bulk renamer. --daemon Do not terminate the Thunar instance when the last window is closed, but keep it running to speed up opening new windows later on. This is the default when spawning Thunar as part of the default Xfce session or when using D-Bus activation. --display=DISPLAY Use the specified X DISPLAY for the user interface. -q, --quit Terminate any Thunar instance running in the background (spawned using the --daemon option). This command should be used whenever Thunar is upgraded to a new version to ensure that no old instance is reused. AUTHOR Thunar was written by Benedikt Meurer<EMAIL_ADDRESS>This manual page was written by Benedikt Meurer<EMAIL_ADDRESS>[FIXME: source] 02/07/2011 THUNAR(1)


The board is where all the fun is!
It is the battlefield where you can compete with your friends or an AI to prove your chess skills.
It is a pretty simple board of chess. The only thing is Pieces need to be dragged always!
There is no simple mechanism for touching a piece and the next square to automatically move the piece (I'm still working on it)
The status bar is where the current game status is displayed.
The status row shows the current status of the game (colour to play, whether there is a check, if the game is over).
The moves row shows the PGN output of the moves played in the game.
The Undo button is the recently added feature.
It takes back the last two moves from the game.
The initial thought was to take back one move, but it seemed like a futile effort when playing agaisnt the AI.
Be careful when you use it in your normal two player games though (I won't really recommend using this button at all).
Resets the board and game to the initial position.
Effectively reloads the page.
Flips the orientation of the board (which colour is facing down).
Helpful to get the POV of the AI or when playing with a friend.
Simulates a game between two AI players that play random moves.
Not really useful for the general public, but maybe helpful to carry out some simulations for theorists and mathematicians.
Shows the current board position as a FEN string, PGN values and a Position object in the console.
Useful if you want to save a game for later analysis (particularly the FEN string).

It chooses a random move from the list of valid moves given the game configuration.
It should be pretty easy to win against this, if you are still losing, you should consider changing your hobby of playing chess.
Level 1 AI is still a RNG but it has a special weapon,
It will always capture one of your pieces if it can.
It can also distinguish between the value of pieces and capture the more valued piece given a choice.
Level 2 AI knows a bit of chess.
It uses an algorithm known as Minimax search to search a tree of moves (and scenarios) and then "decides" the best move to play.
You can adjust the depth of move search using the selection box in the paragrph above the buttons.
More depth = better moves, but it also takes longer time to arrive at the best move.
Level 3 AI uses the Minimax algorithm, but it is better equipped to disregard some parts of the analysis.
It implements something called alpha-beta pruning to reduce the size of tree that it has to traverse, thus, making faster moves than AI Level 2.
For AI levels 2 and 3 (also implemented for level 1, but it doesn't make much sense), this part of the webpage shows the performance metrics of each move as the AI plays.
The search depth option can be set to any value from 1 to 5, and it denotes the strength of the AI player (in increasing order).
The AI performs almost all the best moves at depth level 5, where as depth level 1 plays almost like AI level 1.
Positions evaluated shows the number of board positions that were evaluated before making the move.
Time shows the move time in seconds.
Positions/sec shows the approximate number of board positions evaluated per second by the CPU.


Hierarchical Mech Search
Stanford Vision Lab
March 2020 - December 2020
Search with Semantics
This is a little portfolio of stuff I've built or worked on, which documents both the big career-type things and the various side projects and small hacks i've worked on:
March 2020 - December 2020
Search with Semantics
July 2019 - July 2020
AC-Teach for mech-search
November 2018 - July 2019
Faster Reinforcement Learning with Human Intuition
May 2018 - February 2019
Finding objects via interactive physical search
September 2017 - February 2018
Tackling the not-at-all-solved problem of task-aware grasping
May 2017-Nov 2017
Robotic Grasp Transfer Done Via Deep-Learning Powered Deformation
January 2017-May 2017
Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image
August 2014-May 2015
Published research evaluating how to teach robots skill constraints
June-August 2014
Exploring the feasibility of implementing hardware neural nets using memristors
June-August 2013
Improved robot planning by learning from prior mistakes
August 2012-May 2013
A simulation engine for testing MapReduce configurations
August 2017-Today
A digital magazine that aims to democratize research in AI and machine learning
August 2017-Today
A platform for AI experts to explain AI concepts and news to the general public
November 2018-December 2020
The Stanford AI Lab (SAIL) Blog
November 2018-May 2019
AI Lab gatherings to discuss high-level topics in AI and machine learning
June 2015-July 2017
Developing a prototype and then a new product from scratch to beta release
August 2014-April 2015
A robotic rover for autonomously mapping and spraying plants
August 2012-May 2015
Working with a bunch of students to build a solar racing car
August 2013-April 2015
Projects for Georgia Tech's Intro to AI class
August 2011-May 2012
Building game-playing robots in high school
February-April 2018
A wiki specifically for AI, to centralize knowledge and documentation
July-August 2017
A class project to create 3D visualization of Neural Network outputs
October-December 2016
A class project modifying a state of the art AI model
September-March 2016
An app to create social plans with friends powered by the Yelp API
Fall 2015
Beacon-based notifications about when the bus or train will get to your stop
July-November 2015
Meta! This site was quite the project, why not tell you all about it while you're here
Fall 2015
Low investment flexible home automation
August 2013-April 2015
Open sourced autograding, plagiarism detection, and GUI-grading tools
April 2013-May 2013
A sweet little app to visualize music metadata on a smartphone
February 18 2017
A site that segments out objects from photos with AI
July-August 2017
Some fun visualizing movie statistics from IMDB
July 17 2016
Method for converting videos to stylized VR worlds
May 7th 2016
A stupid app to make text longer
March-April 2015
A little teleoperated robot based on Android
March-April 2014
Entirely custom implementation of OCR to extract spreadsheets
April 2014
Machine-learned prediction of review helpfulness score
April 12, 2014
A project to extract digital circuit schematics from circuits
January 2014
A project to categorize emails into categories based on my gmail archives
Nov 2013
A silicon-level VLSP implementation of a 32-bit adder
Oct 23, 2013
A library for hand tracking on Android
Sep 20-22, 2013
An app to produce 3D sketches on a smartphone using the camera
April 2013
A little project to evaluate ROS SLAM packages with a Kinect
August 1, 2012
A fun little pie chart of genres based on stored MP3s
July 2012
Horrifying sleep pattern visualization


My take on the experience between both DBC and EDA is that what you get out of it directly corresponds to what you put into it. It only works if you and everyone around you apply yourself. Everyone is in the same boat.
Throughout EDA, some students know a large amount, some know a smaller amount. Whatever learning stage of web development you are at, you have a responsibility to work hard and make the most of your opportunity here.
If I can prepare myself to make mistakes, prepare to fail, then I will learn so much more. The type of culture that EDA offers is a great environment for creators to express themselves and that's something I am very excited about being a part of.
Looking at EDA from the outside and then coming into Phase 0 and getting a feel for the culture of EDA, I have realised the importance of collaboration. Making mistakes and learning from those mistakes together can teach me so much more than if I was learning individually. These soft skills I will learn throughout the course are extremely valuable to me as I begin my career in IT.
Definitely a mix of excitement and nervousness. Coding is a completely new skill to me up until a few months ago when I tried a few HTML and CSS courses on Code Academy. I'm intrigued to experience the environment EDA has to offer as it is completely different to anything I have experienced.


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EBD - Easton Bible DIctionary
Hezron
HEZRON
"HEZRON "enclosed. (1.) One of the sons of Reuben (
Genesis 46:9
;
Exodus 6:14
). (2.) The older of the two sons of Pharez (
Genesis 46:12
).
(3.) A plain in the south of Judah, west of Kadesh-barnea (
Joshua 15:3
).
"HEZRON "enclosed. (1.) One of the sons of Reuben (Genesis 46:9; Exodus 6:14). (2.) The older of the two sons of Pharez (Genesis 46:12).
(3.) A plain in the south of Judah, west of Kadesh-barnea (Joshua 15:3).


My First Heading
My first paragraph.
First name:
Last name:
My Second Heading
My Second paragraph.
Alert1
item 1
item 2
item 3


Events
Continuously updated version here.
| Thurs., Sept. 20 | Callout Meeting (Free Pizza) |
| Thurs., Sept. 27 | Professor Dinner: Peter Todd at Dats (5:30pm) |
| Fri., Sept. 28 | Movie Night: Primer (Free Pizza) in BH 016 |
| Thurs., Oct. 4 | Professor Dinner: Geoffrey Bingham at Shanti (7:00pm) |
| Fri., Oct. 5 | Movie Night: Memento (Free Pizza) in BH 016 |
| Thurs., Oct. 11 | Discussion: The Hard Problem |
| Thurs., Oct. 18 | Professor Dinner: Joshua Brown at Siam House (5:30pm) |
| Thurs., Oct. 25 | Discussion: Psycholinguistics |
| Thurs., Nov. 1 | Professor Dinner: David Leake at Trulli Flatbread (5:30pm) |
| Thurs., Nov. 8 | Discussion with Guest Professor Randy Beer |
| Thurs., Nov. 15 | Lab Open House: Peter Todd's Lab |
| Thurs., Nov. 29 | Discussion: Artificial Intelligence |
| Thurs., Dec. 6 | Movie Night: Brave New World (Free Pizza) |
Callout Meeting
Free Aver's Pizza at the first SOCS meeting of the year. Meet folks, help decide on future events, and talk shop with cognitive scientists. 5-7pm in the University Club of the IMU.
Movie Nights
Hang out, watch a cogsciy movie, and eat pizza. If there's a particular movie you'd like to see, tell us about it and it might show up on the calendar. More details on time and place will be coming soon.
Professor Dinners
Every other Thursday, SOCS hosts a professor to talk with students over a meal. Up to eight students are free to pick the brains of the professor, not only about his or her research, but anything cognitive sciencey. Send Jeff an email to reserve a seat for one of these informal discussions.
Discussions
Discussion groups are informal meetings of undergraduates about a cognitive science related topic. Most of these discussion groups will have a short, optional reading to go along with it, which will be available on the website as soon as we get a hold of them. Below is a list of the topics we decided on and their respective dates. These dates are still a little flexible, so if you know of a topic-related speaker/event on a different date, we can move a discussion group to take advantage of that fact. More details on time and place will be coming soon.


Here you can create your own form for polls
About!
GolosPolls - this microservice for conducting polls on the blockchain Golos. This platform is a thin client, that works without a backend (only frontend and blockchain) directly on the GitHub Pages (through CloudFlare).
-
We use:
- Golos.js - the JavaScript API for Golos blockchain;
- Bootstrap - the most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web;
- Flag-icon-css - a collection of all country flags in SVG;
- Cyrillic-to-translit-js - simple javascript function for converting Cyrillic symbols to Translit;
- I18next - is an internationalization-framework written in and for JavaScript;
- Core-js - modular standard library for JavaScript. Includes polyfills for ECMAScript 5, ECMAScript 6: promises, symbols, collections, iterators, typed arrays, ECMAScript 7+ proposals, setImmediate, etc. Some additional features such as dictionaries or extended partial application. You can require only needed features or use it without global namespace pollution.
- SweetAlert2 - a beautiful, responsive, customizable, accessible replacement for JavaScript's popup boxes.
- IcoMoon-Free - is a free vector icon pack by Keyamoon.


Class Object, that holds all the nessesary information from Material and Shape classes.
 More...
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constexpr bool | SetProperties (const std::unique_ptr< TShape > &shape, const std::unique_ptr< TMaterial > &material) |
| |
| constexpr units::mass::kilogram_t | GetMass () const |
| | Get the mass object. More...
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| |
|
| ~Object ()=default |
| | Destroy the Object object.
|
| |
|
| Object (const Object &)=delete |
| | Delete copy constructor.
|
| |
|
| Object (Object &&)=default |
| | Set move constructor to default.
|
| |
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Object & | operator= (const Object &)=delete |
| | Delete assignment operator.
|
| |
|
Object & | operator= (Object &&)=default |
| | Allow move assignment operator.
|
| |
| const Object & | ThisObjectType () const |
| | Function to return "this" derived object. More...
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template<typename UShape , typename UMaterial > |
| std::ostream & | operator<< (std::ostream &os, const Object< UShape, UMaterial > &obj) |
| | Shift operator overload for class Object, this will print all the calculated properties.
|
| |
template<typename TShape, typename TMaterial>
class masscalculator::core::interface::Object< TShape, TMaterial >
Class Object, that holds all the nessesary information from Material and Shape classes.
- Template Parameters
-
| TShape | Shape class object |
| TMaterial | Material class object |
◆ Object()
template<typename TShape , typename TMaterial >
Construct a new Object object.
- Parameters
-
| shape | Constructed shape object |
| material | Constructed material object |
◆ GetMass()
template<typename TShape , typename TMaterial >
Get the mass object.
- Returns
- kilogram_t The calculated mass for specific object and shape
◆ ThisObjectType()
template<typename TShape , typename TMaterial >
Function to return "this" derived object.
- Returns
- const TShapeType&
The documentation for this class was generated from the following file:
- /home/runner/work/masscalculator.github.io/masscalculator.github.io/MassCalculator/masscalculator-core/libraries/masscalculator-core/include/masscalculator/masscalculator-core/interface/object_interface.h


| Package | Description |
|---|---|
| controllers.service | |
| models.domain | |
| models.util |
| Modifier and Type | Method and Description |
|---|---|
User |
UserService.createUser(java.lang.String username,
java.lang.String password,
UserType userType,
java.lang.String firstName,
java.lang.String lastName,
java.util.Date birthDate)
Creates new User object and attaches it to the database
Prerequisites:
- the username is not already in use
|
User |
ActivityService.findActivityTutor(java.lang.String name)
Find the tutor for an activity
|
User |
UserService.findUserByUsername(java.lang.String username)
Searches for a user with a specific username
|
| Modifier and Type | Method and Description |
|---|---|
java.util.List<User> |
UserService.findAllUsers()
Finds all users
|
| Modifier and Type | Method and Description |
|---|---|
Membership |
MembershipService.createMembership(Activity activity,
User user)
Calls createMembership(Activity, User, Date)
By default passes current system date
|
Membership |
MembershipService.createMembership(Activity activity,
User user,
java.util.Date registrationDate)
Creates new Membership object and attaches it to the database
Prerequisites:
- the user cannot be an administrator
- this user is not already signed up for this activity
- only one tutor can participate in each activity
- this activity's sessions must not clash with any sessions of other activities
that the user is already registered for
|
boolean |
UserService.deleteUser(User user)
Deletes user
Prerequisites:
- the user must not have any memberships in activities
|
java.util.List<Membership> |
MembershipService.findAllMembershipsByUser(User user)
Finds all memberships for a specific user
|
Membership |
MembershipService.findMembership(Activity activity,
User user)
Find a membership by its key (activity, user)
|
boolean |
UserService.updateUser(User user)
Updates user
|
| Modifier and Type | Method and Description |
|---|---|
User |
SessionRegister.getStudent()
returns the user who is registered
|
User |
Membership.getUser()
returns the user involved in this membership
|
| Modifier and Type | Method and Description |
|---|---|
void |
ActivitySession.addRegister(User user,
RegistrationStatus status,
java.lang.String notes)
adds a new register to the set of registers
|
void |
SessionRegister.setStudent(User student)
sets the user who is registered
|
void |
Membership.setUser(User user)
sets the user involved in this membership
|
| Constructor and Description |
|---|
Membership(Activity activity,
User user,
java.util.Date registrationDate)
Constructor
|
SessionRegister(User student,
ActivitySession session,
RegistrationStatus status,
java.lang.String notes)
Constructor
|
| Modifier and Type | Method and Description |
|---|---|
User |
Authenticator.authenticate(java.lang.String username,
java.lang.String password) |


Written by: Wil Calhoun
Transcribed by: Eric Aasen
Joey: (lying on a beach towel, recapping what happened in the last episode) Okay, so we went to the beach, because Phoebe found out about this lady who knew her mom and dad, and I dont really know what happened with that.
[cut to Phoebe Sr.s house, from the last episode]
Phoebe Sr.: (to Phoebe) Im your mother.
Phoebe: Ehh?
[cut to Monica opening the door of the beach house, with Chandler trying to pick her up for a date.]
Joey: (voice-over) Oh, and then Monica joked that she wouldnt go out with a guy like Chandler...
Chandler: (to Monica) (in a funny voice) Hi there. (Monica turns her head away in disgust)
Joey: (voice-over) ...and he couldnt let it go, and... I dont really know what happened with that either.
[cut to a montage of scenes involving Bonnie, Ross, and Rachel from the last episode.]
Joey: (voice-over) Oh-oh! And then Rosss new girlfriend, Bonnie, shows up and Rachel convinced her to save her head. And then Ross and Rachel kiss, and now Ross has to choose between Rachel and the bald girl and I dont know what happened there either...
[cut back to Joey on the beach towel]
Joey: Y'know what, hold on, let me go get Chandler. (gets up and leaves.)
[Scene: The beach house, its the same scene from the end of last year, with Ross in front of the two doors of Rachels and Bonnies rooms, trying to decide which door to choose. He finally chooses the one his right and goes in.]
Ross: (surprised) Hi!
Rachel and Bonnie: Hi!
Bonnie: Rachel was just helping me out. My head got all sunburned.
Ross: Awww.
Bonnie: (to Rachel) Thanks a million.
Rachel: Oh, youre welcome a million.
Bonnie: (getting up and leaving) (to Ross) Okay, Ill see you in our room.
Ross: Yeah. (closes the door, and goes over and kisses Rachel.)
Rachel: (softly) Oh my God.
Ross: I know.
(They both kiss again and fall onto the bed.)
Ross: (stopping suddenly and getting up) Okay, I gotta go.
Rachel: Whoa! What?! Why?!
Ross: Well, I-I gotta go break up with Bonnie.
Rachel: Here?! Now?!
Ross: Well, yeah. I cant-I cant stay here all night, and if I go in there shes-shes gonna wanna... do stuff.
Rachel: Well, cant you tell her that you are not in the mood?
Ross: No, she likes that. Yeah. Faking sleep doesnt work either, I cant tell you how many mornings I woke up with her...
Rachel: (interrupting) Whoa-ho.
Ross: Whoa-oh, okay! Yeah, why am I telling you that?
Rachel: I dont know.
(they kiss again)
Ross: Yeah, yeah. (opens the door) It wasnt every morning.
Rachel: Oh, making it worse!
Ross: Okay.
Opening Credits
[Scene: Phoebe Sr.s house, its right after she told Phoebe that shes her birth mother.]
Phoebe Sr.: So I guess youd like to know how it all happened.
Phoebe: I-I mean I, well I think I can figure it out.
Phoebe Sr.: Noo! No! It wasnt like that I... Remember how I told you how Lily, Frank, and I we were, we were close. Well, we were, we were very close.
Phoebe: How close?
Phoebe Sr.: Well, the-the three of us we were, kind of umm, a couple.
Phoebe: I dont even know how that would work!
Phoebe Sr.: Well, we were...
Phoebe: (interrupting) Im not asking!
Phoebe Sr.: Well, any how, some how I got pregnant, and, and I was scared.
Phoebe: Yeah. Lets see, my had Mom killed herself, and my Dad had run off, and I was living in a Gremlin with a guy named Cindy who talked to his hand.
Phoebe Sr.: Well, Im so sorry. I thought I was leaving you with the best parents in the world, I didnt even hear about your Mom and Dad til a couple of years ago, and by then you were already grown up. I dont know, youre here, and I would, I would really, I would like to get to know you.
Phoebe: Yeah, well, everybody does! Im a really cool person. And y'know you had 29 years to find that out, but you didnt even try! Y'know what, you walked out on me, and Im just, Im gonna do the same thing to you.
Phoebe Sr.: Wait!
Phoebe: I dont ever want to see you again!
(She walks out and slams the door.)
Phoebe: (walking back in with her hand over her eyes.) Umm, wheres my purse?
[Scene: The beach house, Joey and Chandler are sitting at the dinner table, Monica is looking in the fridge.]
Monica: (closing the fridge in disgust) Shoot! Were out of soda.

Monica: Really?!
Chandler: Nope! Because Im not your boyfriend. (to Phoebe, whos entering) Hey Pheebs, how did it go?
Phoebe: Well, umm, my Moms friend, Phoebe, is actually my birth Mom.
(The gang is shocked.)
Chandler: I found a dried up seashores.
Monica: Sweety, what are you talking about?
 Dont you wanna stay here and talk about it?
Phoebe: No. Im just, I wanna, I need to be alone.
(She starts to go upstairs.)
Phoebe: (turning around, insistently) Monica!
Monica: Oh.
[Scene: The beach house, Rachels bedroom. She is finishing up writing something as Ross walks through the door.]
Ross: Its over.
Rachel: Oh, was it awful?
Ross: Well, it was loong. I didnt even realise how late it was, until I noticed the 5 oclock shadow on her head. (They both start to laugh, then stop themselves quickly.) Anyway, she didnt want to stay. I called a cab; she just left.
(They kiss.)
Rachel: I wrote you a letter.
Ross: Ohh! Thank you! I like mail. (He goes to kiss her again, but she turns away.)
Rachel: (handing him the letter) Its just some things Ive been thinking about. Some things about us, and before we can even think about the two of us getting back together, I just need to know how you feel about this stuff.
Ross: Okay.  Wow, its-its 5:30 in the morning. (Rachel laughs) So, Id better get cracking on this baby.
Rachel: Well, Ill be waiting for you, just come up when youre done.
Ross: Okay, Ill be up in, (looks at the letter) 18 pages. Front and back. Very exciting.
[Scene: The beach house, the next morning. Ross is passed out on the kitchen counter. He wakes up with a start and has one of the pages of the letter stuck to his face.]
Ross: Oh. (looks at his watch) Oh-oh. (takes a drink of coffee and resumes reading the letter)
Rachel: (coming down the stairs) Hey! (Ross jumps up, and quickly puts the letter back together, pretending like he has just finished it.) What happened to you? Why didnt you come up?
Ross: Done!
Rachel: You just finished?
Ross: Well, I wanted to be thorough. I mean this-this is clearly very, very important to you, to us! And so I wanted to read every word carefully, twice!
Rachel: So umm, does it?
Ross: Im sorry.
Rachel: Does it?
Ross: Does it? Does it? Yeah, I wanted to give that whole Does it? part just another glance.
Rachel: What are you talking about, Ross, you just said that you read it twice! Look, y'know what, either it does or it doesnt, and if you have to even think about it...
Ross: (interrupting) No, Rach, no. I dont, I dont, I dont have to think about it, in fact, Ive decided, Ive decided that, that it.......does.
(Rachel stands there for a moment, starting to cry. Then gasps and runs over and hugs him. While hugging her, Ross tries to find the Does it? part in the letter.)
Rachel: Are you sure?
Ross: Oh, sure! Im sure.
Rachel: I know. (Hugs him more violently this time and pushes him back away from the letter.)
[Scene: The beach. Chandler and Monica are out getting some sun.]
Chandler: All right, theres a nuclear holocaust, Im the last man on Earth. Would you go out with me?
Monica: Ennnh.
Chandler: Ive got canned goods.
 Take a look at this! (Chandler and Monica jump up and go over to the hole.) Check this baby out, dug me a hole!
Chandler: Excellent hole, Joe.
(A wave crashes on the beach and partially fills up his hole.)
Joey: Oh no! No!! My hole!!
Monica: (screaming in pain) Ow!! Ow!!!
Joey: (climbing out of the hole) What?! What?!! What is it?!
Monica: Jellyfish sting! Oh, it hurts! It hurts!! It hurts!!
Chandler: Well, can we help?! You want us to take you back to the house?!
Monica: Its like two miles!
Joey: Yeah, and Im a little tired from digging the hole.
 Damn all the jellyfish!
Chandler: Weve got to do something!
Joey: Well, theres really only one thing you can do.
Monica: What?! What is it?!
Joey: Youre gonna have to pee on it.
Monica: What?!! Gross!!
Joey: Dont blame me, I saw it on The Discovery Channel.
Chandler: Y'know what, hes right. Theres something like uh, ammonia in that, that like kills the pain.
Monica: Well forget it! It doesnt hurt that (tries to take a step) baaad!!!!
Joey: If you want some privacy you can use my hole.
[Scene: The beach house, Phoebe is coming down the stairs all packed and ready to go.]
 (Sees Ross and Rachel cuddling on the couch.) Oh. Are you? Are you?!! (they nod Yes.) Ohh! Thats so great!! Ooh, not for Bonnie. (they nod No.) But for you, yay! Ohh.
(The rest of the gang arrives with their heads down in shame.)
Ross: Hey!
Rachel: How was the beach?
Monica: Nothing, I dont know.
Ross: What happened?
Monica: Nothing. Im gonna take a shower.
Chandler: Me too!!
Joey: Me too.
Phoebe: Okay, Im gonna put this (her suitcase) in the car.
Rachel: Ooh, I have to go pack. (Gets up to do so.) It really does?
Ross: It does. It really and truly does.
(Rachel kisses him, and goes upstairs. After shes gone, Ross frantically tries to find and read the Does it? part.)
Ross: (finding the part) (looks up in disgust) It so does not!!!
Commercial Break
[Scene: Central Perk, Ross is telling Joey and Chandler about the letter.]
Ross: She wants me to take responsibility for everything that went wrong in our relationship. I mean she goes on for five pages about, about how I was unfaithful to her! (Both Joey and Chandler shrug their shoulders as to say Well...) (yelling) WE WERE ON A BREAK!!!!!
Chandler: Oh my God! If you say that one more time, Im gonna break up with you!
Ross: Fine! Fine! But this break-up was not all my fault, and she, she says here, (reading from the letter) If you accept full responsibility... (to Chandler and Joey) Full responsibility! ...I can begin to trust you again. Does that seem like something you can do. (yells at Joey) Does it?!!
Joey: No?
 If you bring this up now youre gonna wreck the best thing that even happened to you.
Ross: (calming down) Yeah, I know. I mean, no, youre right. Yeah I guess Ill let it go. But you-you understand how-how hard it is to forget about this.
Joey: Sure, its hard to forget! But that doesnt mean you have to talk about it! A lot of things happened on that trip that we should never, (to Chandler) ever talk about.

Joey: Its between us and the sea, Ross!
(Ross laughs and has a Come on... look on his face as he looks and Chandler who nods his head in agreement with Joey. Ross is stunned.)
[Scene: A hallway in an apartment building. Phoebe is knocks on a door and it opens.]
Phoebe: (to the person that answered the door) Hi, Ursula.
Ursula: Hey!
Phoebe: Okay, well umm, I know that we havent talked in a long time, but umm okay, our Mom is not our birth Mom. This-this other lady is our birth Mom.
Ursula: Right, okay, the one that lives in Montuak, umm-hmm.
Phoebe: (shocked) You know her?!
Ursula: No, I umm, I read about her in Moms suicide note.
Phoebe: There-there was a suicide note?! (Ursula nods Yes.) Well, do you still have it?
Ursula: (disgusted) Hang on. (She goes into her apartment and slams the door in Phoebes face.)
Phoebe: I cant believe you didnt tell me there was a suicide note!
Ursula: Yeah. So how have you been doing?

(Ursula opens the door and hands her the note.)
Phoebe: (reading from the note) Good-bye Phoebe and Ursula. Ill miss you. P.S. Your Mom lives in Montauk. You just wrote this!
Ursula: Well, its pretty much the gist. Well, except for the poem. You read the poem, right?
Phoebe: Noooo!!
Ursula: All right, hang on! (She takes the note, goes back into her apartment and slams the door shut.)
[Scene: Monica and Rachel's, Chandler, Monica, and Joey are sitting at the table eating dinner and not talking. Ross and Rachel are outside cuddling on the balcony.]
Monica: Pass the cheese, please.
(Joey hands her the cheese without looking at her.)
Monica: My God, you cant even look at me! Can you?
Joey: Nope.
(Phoebe enters.)
Chandler: (jumping up) Hey! Phoebe! We can talk to Phoebe!!
Phoebe: No. Im-Im to depressed to talk.
Chandler: Ill give you a thousand dollars to talk to us.
Ross: (coming back in with Rachel) Hey, you guys! What do you, what do you think about making that beach trip an annual thing?
Chandler, Monica, and Joey: NO!!!
Rachel: All right, thats it, you guys! What happened out there?
Monica: What? We took a walk, nothing happened. I can back with nothing all over me.
Ross and Rachel: Come on!
Ross: What happened? Joey?
Joey: All right. (gets up)
Monica: (stopping him) No! Joey, we swore wed never tell!
Chandler: (running over and joining Monica) Theyll never understand!
Joey: Well, we have to say something! We have to get it out! Its eating me alive!! Monica got stung by a jellyfish.
Monica: (interrupting) All right!! All right. (walks slowly into the living room) I got stung. Stung bad. I couldnt stand. I-I couldnt walk.
Chandler: (following Monica) We were two miles from the house. Scared and alone. We didnt think we could make it. (He goes to put his hands on Monicas shoulders but for some reason can quite complete the action and pulls back.)
Monica: I was in too much pain.
Joey: And I was tired from digging the huge hole!
Chandler: And then Joey remembered something.
Joey: Id seen this thing on The Discovery Channel...
Ross: Wait a minute! I saw that! On The Discovery Channel, yeah! About jellyfish and how if you... (stops suddenly and turns to look at Monica) Ewwww!! You peed on yourself?!
Phoebe and Rachel: Ewwww!!
Monica: You cant say that!! You-you dont know!! I mean I thought I was gonna pass out from the pain! Anyway I-I tried, but I-I couldnt...bend that way. So... (looks at Joey.)
Phoebe, Ross, and Rachel: (turning to look at Joey) Ewwww!!
Joey: Thats right I stepped up! Shes my friend and she needed help! And if I had too, Id pee on anyone of you! Only, uhh, I couldnt. I got the stage fright. I wanted to help, but there was too much pressure. So-so I uh, I turned to Chandler.
Chandler: (wails loudly into his hands) Joey kept screaming at me, Do it now! Do it!! Do it! Do it now!! Sometimes late at night I can still here the screaming.
Joey: (laughs) Thats cause sometimes I just do it through my wall to freak you out.
[Scene: Central Perk, Phoebe is finishing up a song.]
Phoebe: (singing) ...fuchsia and mauvvve. Those are the 66 colours of my bedroommmm. (applause) Thank you, thank you. Ohh, and I invite you to count the colours in your bedroom. (Sees that Phoebe Sr. has entered, and to her) Except for you. You go away.
Phoebe Sr.: Ill go in a second, I-I just wanted to tell you that there hasnt been a day where I didnt regret giving you up.
Phoebe: Okay, bye.
Phoebe Sr.: No, Im not done. I-I-I just want you to know that I, the reason I didnt look you up was, well I was afraid that youd react, just well like, the way, the way youre reacting right now, and cant we just, y'know, start from here?
Phoebe: No.
Phoebe Sr.: Sorry. But just one last thing. Y'know you came looking for family. Im family, Im it. Now, now Im done. (starts to leave)
Phoebe: But, its not like were losing anything. Y'know?
Phoebe Sr.: Yeah, I guess youre right.
Phoebe: Its not like we-we know each other or anything. Or that have anything in common.
Phoebe Sr.: Well, I dont know. I mean its not like we dont have anything in common. I mean I like uh, pizza.
Phoebe: I-I like pizza!
Phoebe Sr.: You do?! Wait, I like umm, the Beetles.
Phoebe: Oh my God, so do I!
Phoebe Sr.: I knew it, wow!!
Phoebe: Wait-wait-wait, wait! Puppies. Cute or ugly?
Phoebe Sr.: Ohh, so cute.
Phoebe: Uh-huh, well! But umm, still Im-Im mad at you.
Phoebe Sr.: I know. Im mad at me too.
Phoebe: Well umm, do you wanna get something to eat? Im kinda hungry.
Phoebe Sr.: Hey! Me too!
Phoebe: All right, stop it. Now youre just doing it to freak me out.
[Scene: Rachels bedroom. Ross and Rachel have just finished consummating the new relationship.]
Rachel: Oh-hooo, I missed you.
Ross: I missed you too.
Rachel: Ooh, I was soo nervous about that letter. But the way you owned up to everything, it just showed me how much youve grown. Y'know?
Ross: (getting miffed) I suppose.
Rachel: You have! Ross, you should give yourself credit. I mean my Mom never thought this would work out. It was all, Once a cheater, always a cheater.
Ross: (getting angry) Umm-hmm.
Rachel: Ooh, I just wish we hadnt lost those four months, but if time was what you needed just to gain a little perspective...
[cut to Monica cleaning the floor in the kitchen]
Ross: (yelling from the bedroom) WE WERE ON A BREAK!!!!!!!
Chandler: (entering with Joey) (to Monica) Coffee house?
Monica: You bet.
[cut back to Rachels bedroom with both of them hurriedly getting dressed]
Ross: And for the record, it took two people to break up this relationship!!
Rachel: Yeah! You and that girl from that copy place, which yesterday you took full responsibility for!!
Ross: I didnt know what I was taking full responsibility for! Okay?! I didnt finish the whole letter!
Rachel: What?!!
Ross: I fell asleep!
Rachel: You fell asleep?!
Ross: It was 5:30 in the morning, and you had rambled on for 18 pages. Front and back!! (they go into the living room, trapping Monica, Chandler, and Joey in the kitchen) (to Rachel) Oh-oh-oh, and by the way, Y-O-U-apostrophe-R-E means you are, Y-O-U-R means your!
Rachel: Y'know I cant believe I even thought about getting back together again! We are so over!!

Monica: Hey!!
Rachel: (to Monica) Sorry!! (to Ross) I just feel bad about all that sleep youre gonna miss wishing you were with me!
Ross: Oh, no-no-no dont you worry about me falling asleep. I still have your letter!!!
Rachel: And hey! Just so you know, its not that common! It doesnt happen to every guy! And it is a big deal!!
Chandler: I KNEW IT!!!!
Closing Credits
[Scene: Monica and Rachel's, Chandler and Monica are playing cards at the dinner table.]
Monica: (sets down some cards) Gin.
Chandler: We were playing Gin? Y'know if we were a couple, we could play this game naked.
Monica: Will you stop!
Chandler: Okay. All right.
Monica: Okay, all right, I think youre great, I think youre sweet, and youre smart, and I love you. But you will always be the guy who peed on me.
End


1.1 Definition:
- Structure is a group of data members irrespective of their type.
- Using structure you can relate one variable of one type to other.
- Different types of variables can stored under one name, so if you want to store information like name, address , phone number you can use structures and can store all this for different persons.
Syntax:
-
Data members include pointers, arrays as well.
-
t1 here is structure variable.
-
struct tag is new data type of t1.
We can define structure variable in following way
1.2 Structure variables:
- Structure variables are those variables which are used to access data members of the structure.
- They can be defined as follows struct tag var_1, var_2 … var_n;
- Structure variable can be many, and can be represented as arrays like var[100] var[100] implies that there are 100 variables which are represented in the form of an array. var[0],var[1],var[2]…… var[99](we will see in the following example). Example:
- By this small code of structures we can understand that whenever we have to store different type of information about many people we can use structures.
- Here each structure variable represents a person.
- And the data accessed by structure variable is the information of that person.
- We can also observe that instead of defining structure variables as s1,s2,s3…s10 we defined it in the form of an array s[10].
- So whenever there is any need to store data for large number of people writing structure variable in the form of an array can make things quite easier.
1.3 Structure Initialisation:
- Structure variables can be initialised as follows: Struct tag name={ value_for_data1,value _for_data2…, value_for_data n}
Example
1.4 Structure Variables
Copying data of one structure variable to other is quite easy, and can be done as shown struct_var1=struct_var2.
Output: values: e2.x=10 e2.y=20
- We can see that though p2.x and p2.y were not initialised still in output we can see their values as 10 and 20.
- It is because we assigned one structure variable to other of same type i.e. same structure p2=p1.
1.5 Typedef
- Typedef is a keyword used in C language to assign alternative names to existing types.
- Typedef can be used to give a name to user defined data type as well.
Syntax:
typedef struct
{
type member 1;
type member 2;
:
:
type member m;
} type_name;
- Now type_name can be used to declare a variable of this structure type. type_name t1,t2;
- Now t1 and t2 can be used as normal structure variable.
Example
1.6 Passing Parameter to the function:
- Structure variable can be passed as parameters to any function.
- It can done as follows.
Example:
1.7 Returning structure variables:
We can return structure variables from any function, like any other variable. The return type of the function should be same as that of the structure variable we are returning. Example:


Not ready to work with our complete brand management service? Prefer to stay away from B2C?
No problem! we also buy wholesale! Consider selling your products to TimeB Inc. to see if you will qualify to become one of our vendors.
More than ever, customers expect brands to make themselves available through these online channels and small to medium sized brands that does not make themselves available in these marketplaces are destined to suffer.
As a Top Level online marketplace retailer, we leverage our own strategies and principles to maximize sales across our private label and wholesale products.
We are always seeking top-tier brands to join our portfolio of product lines.
These are the types of products and suppliers that we are looking for:
If your brand meets all these requirements above, please don't hesitate to click "READY TO START WHOLESALE" now!
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<#include "../banner.include.html">
About the workbench
This system is a work in progress. It aims to gather information from data providers and aggregators, share experimental results, apply prototypes, and provide demonstrators.
Current R&D activities address:
- Aggregation mechanisms for linked data
- Aggregation mechanisms for IIIF based on IIIF Change Discovery API v0.3
- Aggregation mechanisms for IIIF based on IIIF Collections
- Aggregation mechanisms for IIIF based on Sitemaps
- Aggregation mechanisms specific for Schema.org metadata (e.g. HTML Crawlers)
- Aggregation mechanisms for the WWW (HTML meta, RDFa, RDFaLite, Microdata, etc)
- Conversion of Schema.org metadata to EDM
- Metadata profiling
Current operations available in the workbench (for data providers):
Current operations available in the workbench (for Europeana aggregation):
- Manage and process datasets:
Allows the Europeana Aggregation team to manage the registered datasets, execute harvests, metadata analysis and conversion.
<#include "../footer.include.html">


{# Layout template for all of the pages of the app. Created mainly to include things like jquery, and bootstrap which will be used throughout the interface #} {% from "flashed_messages.html" import render_flashed_messages, snackbar_script, render_flashed_messages_snack %}


Angular Promise Queue
A way to queue up promises. In this case...queue up animations
Start
This
is
an
example
of
a
promise
queue


src.test¶
Module contents¶
-
class
src.test.
EvaluationRunner
(testers, algorithm_config, dataset, output_path, max_workers=1, use_blocking_executor=False)[source]¶ Bases:
object
Class for efficiently evaluating an algorithm across multiple threads for every mixture in a dataset. If the algorithm requires something that must happen in a single thread, then the execution of the algorithm can happen in two steps - once on a blocking thread, and then continue on a parallel thread by specifying use_blocking_executor as True:
# run on a blocking executor (e.g. on one GPU), in self.blocking_func features = algorithm.extract_features() # run the rest on the main executor, using the result self.blocking_func # this is in self.run_func algorithm.run(features=features) algorithm.make_audio_signals()
This class is built assuming that you are using NUSSL style algorithms for source separation. If you’re evaluating on other tasks (e.g. sound classification or music transcription), then you can use new testers or edit this class to your liking. If you’re editing the class, your new code likely belongs in either main_func, run_func, or blocking_func.
- Parameters
testers ([type]) – [description]
algorithm_config ([type]) – [description]
dataset ([type]) – [description]
output_path ([type]) – [description]
max_workers (int, optional) – [description]. Defaults to 1.
use_blocking_executor (bool, optional) – [description]. Defaults to False.
-
blocking_func
(file_path)[source]¶ [summary]
[extended_summary]
- Parameters
file_path ([type]) – [description]
- Returns
[description]
- Return type
[type]


Farming Talk – November 21
I’ve joined Turnastone Court Farm in Herefordshire as an education officer for the Countryside Restoration Trust.
It’s particularly exciting, as it combines my passion for both teaching and wildlife.
Located on site is an inspiring purpose-built education lodge. The lodge has a great deal of versatility and can accommodate large classes as well as non-school smaller groups and clubs, with groups of up to 30 children. There’s also huge potential for a therapeutic offering here.
Variety really is the spice of life and I intend to create a new hands-on learning environment that continues to engage and inspire children of all ages. Workshops will be cross-curricular and suit a range of learning styles and abilities. Topics will have a seasonal flavour and include farming and food production, wildlife investigation and horticulture, among others.
In other news, I attended Madley Harvest Festival to talk to local children about wildlife friendly farming and food production. It was a golden opportunity to introduce them to "Squirm on Inn" – our new wormery! I’m just getting to grips with these wriggly fellows and the children were impressed with their clever antics.
And if it ever stops raining, we may get a chance to construct our new Turnastone vegetable beds.
Vickie Tomkins is the Countryside Restoration Trust’s education officer


Please complete this before we meet on Sunday, March 19!
I know we haven't updated this in awhile - please go back and make sure it's all up to date. Please also put in an "N" for classes you didn't come to. Thanks!
Wireframe: Here's the link.
Wireframe CS: Here's the link.
This video is super-cheesy but actually does a pretty good job of explaining it all. It lasts 5 minutes.
The video touches on this a little bit - but servers are basically dumb computers with a lot of storage connected directly to the Internet. Servers are “the cloud”. Data centers are filled with hundreds and often thousands of these computers. They look like this - you’ve definitely seen one in a movie before:
Hosting is essentially you “renting” some company’s server. Popular hosts include GoDaddy, Bluehost, Amazon (AWS), etc. You could just host your website on your own computer, and then whenever they visit their site they’d be literally viewing the files off of your own computer. But - that isn’t very secure for you and your other files, it’d make your computer fairly slow all the time, your computer would have to be on 24/7, always connected to the Internet, and the page load times would be really slow.
Hosting essentially gives you access to a fast server directly connected to the Internet where you can put all your files. We’re using Bluehost for this class. Very basic hosting (which is all you need for a basic personal site) only costs $60-70/year.
If you need to build fully-functional web applications and/or have a TON of traffic, then there are better, more expensive options. Most notably is Amazon’s AWS (Amazon Web Services) which powers a substantial portion of the entire Internet.
FTP is an acronym for File Transfer Protocol. As the name suggests, FTP is used to transfer files between computers on a network. You can use FTP to exchange files between computer accounts, transfer files between an account and a desktop computer, or access online software archives. Keep in mind, however, that many FTP sites are heavily used and require several attempts before connecting.
FTP is an easy way to directly connect to your hosting account’s server and upload your website files. That’s what we’re going to do in a minute so that you can get your stuff online.
Every device connected to the Internet - every computer, phone, server, router, etc - has a unique IP (Internet Protocol) address. Think of it as the home address for that device. UVA server’s IP address is <IP_ADDRESS>, for example. Try copy/pasting that into your address bar as if it’s a website - you’ll see it just pulls up UVA’s site.
 That’s not exactly catchy or easy to remember.
Domains are things like facebook.com, virginia.edu, and danielwillson.com. They’re created to “mask” IP addresses with something more human-readable and human-rememberable. If you own a domain, you control what IP address it goes to. UVA owns virginia.edu, and they point it at <IP_ADDRESS>.
Whenever you type in virginia.edu, it goes to a Domain Name Server (DNS) somewhere close to you. DNS is essentially the phonebook of the Internet - it’s a big directory that translates virginia.edu into <IP_ADDRESS>. Once it gets the IP address, it actually knows where to find the website files you’ve asked for. So it goes to <IP_ADDRESS> where it finds all the website files for UVA. Then it opens those files and sends them back for you to view in your browser.
This is a bit of an oversimplification, but all of this really does happen within the split second of you hitting “enter” on your keyboard and the website appearing on your screen.
Anyone can buy domains. They cost usually $10-20/year. Pretty much all hosting companies also sell domains, so they’re most frequently bought together. That’s what we did with Bluehost. But you can also buy domains from companies that just sell domains and don’t do hosting. These are called domain registrars.
We’ve purchased a domain and hosting account for you all to use for the duration of this program.
We purchased wireframewebsites.com and a hosting account from Bluehost for you all to use.Before Sunday, we want you to upload something (it can be any of our previous assignments, or something new) to our hosting account via FTP.
The reason we can’t do this in class is because if 20 people try to connect via FTP at the same time Bluehost will think someone is trying to hack into our website and block some of you. (We found this out the hard way last semester.)
I put this info in Slack since the info is sensitive and I don't want it to be public on the Internet, like this page is.
On the left side of your screen are your computer’s files. You’ll want to navigate to the folder where all your Wireframe files are kept.
On the right side of your screen is all of the files on the server. Double click public_html to open that folder. Then right click anywhere and hit “Create directory” - this will make a new folder. Name it with your full name, no spaces, all lowercase. Like “danielwillson”.
Open that folder (still on the right side, on the server), and then drag in an index.html and styles.css file. (Pick whichever ones you want.) Make sure to upload any images you used as well. It’ll take a minute for them to show up on the right as they’re being uploaded.

Slack me if it doesn't work for you.


This namespace is used with Sage modules. Since modules may have almost any structure, only the elements common to all of them are described here.
http://www.cycle99.com/schemas/sage/modules.xsd
This element defines any configuration for the module it applies to. Below are code examples of various implementations of mod:config
element; the implementations are totally up to modules themselves however.
The mod:config element is used to set options of the Sidebar
module:
The mod:config element is used to set options of the SyntaxHighlighter
module:
xml
XmlNode|SageContext
delegate XmlNode ProcessNode(XmlNode node, SageContext context);
Here we provide both the mod:data (the markup that the XmlTree
should render), as well as some options about how it should render it, set in its mod:config
:
¡Hola, mundo!


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Project: npn13g2v_VBIC_Q118
Results Gummel Characteristics
Forward Gummel VCB=0V
Forward Gummel VCE=0.5(0.5)2.5V
Forward Beta VCB=0V
-
-


{% if data['claimant-payment-request'] == 'Immediately' %} The defendant can't pay immediately {% elseif data['claimant-payment-request'] == 'Set-date' %} The defendant can't pay by your proposed date {% else %} The defendant can't afford your repayment plan {% endif %}
Based on the financial details the defendant provided, we don't believe they can {% if data['claimant-payment-request'] == 'Immediately' %}pay immediately{% elseif data['claimant-payment-request'] == 'Set-date' %}pay by your proposed date{% else %}make the payments you suggested{% endif %}.
{% if data['frequency'] %}The court affordability calculator has determined a new payment amount and frequency.
{% else %}The court affordability calculator has determined a new repayment plan as the {% if data['claimant-payment-request'] == 'Immediately' or data['claimant-payment-request'] == 'Set-date' %}soonest{% else%}most{% endif %} the defendant can repay.
{% endif %}The court's proposed repayment plan
| Regular payments of | £75 | |
| Frequency of payments | Weekly | |
| Make the first payment on | 1 {{ now | date("add", 1, "month") | date( "MMMM YYYY" ) }} | |
| Last payment on | 1 {{ now | date("add", 7, "month") | date( "MMMM YYYY" ) }} | |
| Length of repayment plan | 8 months |


About Me
Hi , i am Dan. I am student of HUST . My major is Computer science. I am very funny and friendly. I love reading and playing sports. The club I like is Chelsea, my favorite athlete is Ronaldo, Nadal. You can connect my Goodreads account.
Projects
This is a software that can be used in real-life libraries
A project used to describe algorithms using GUI
Experience
This is a good company. People are very happy and enthusiastic.
Education
Hanoi University of Science and Technology
Application specialist
2017 - present
I am a student of HEDSPI program. The hedspi program is a combination of SUN * and SOICT


Back to Map
Look for: Gray/brown bark with flat plates comprising old trunks, dark green leaves (5-leaflets)
Origin: Eastern North America
The Yellow Buckeye grows to a height of 60–75' and a spread of around 30' at maturity. Of the large North American buckeye trees, the Yellow Buckeye is considered to be the best. In May it bears half foot long panicles of yellow flowers that produce brown, nutlike “buckeyes” at the end of the summer. In the fall, the palmate, compound leaves turn a pleasing pumpkin orange.
As well as the belief in the good fortune of its storied seed, the buckeye has been held to cure rheumatism and other, more minor ailments. Pioneering farm families also made soap from the kernels of buckeye seeds, and many a child's cradle was carved from the wood of this tree. Before the advent of synthetic materials, the wood was used to make artificial limbs because of its light weight and resistance to splitting.
USDA Zones 4-8


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-
ANTLR
-
ANTLR 2.xx is a completely redesigned version, which has been reimplemented
in Java and generates Java.
ANTLR 2.xx embodies all three
previous tools of PCCTS, generalizing the notion of scanning, parsing, and tree walking into the simple notion
of applying grammatical structure to an input stream--whether it be a stream of characters, tokens, or tree
nodes.
MORE ...
-
BYACC/JAVA
-
BYACC/Java is an extension of the Berkeley v 1.8 YACC-compatible
parser generator
A "-j" flag has been added
which will cause BYACC to generate Java source code, instead.
MORE ...
-
COCO/JAVA
-
The Java version of CoCo, a scanner and parser generator.
MORE ...
-
CUP
-
An LALR parser generator for Java.
MORE ...
-
GENERIC INTERPRETER
-
Produces standalone or embedded interpreters and compilers written in Java.
A Language is specified on the fly, and source streams written in the
language can be interpreted at any time, even as the language evolves.
Supports LL(1), LR(0), SLR(1) and LR(1).
MORE ...
-
JACCIE
-
Jaccie is an educational tool for visualizing compiling techniques.
It consists of scanner/parser generators.
Users can choose between
LL(1), LR(0), SLR(1), LALR(1), and LR(1) parser generators.
MORE ...
-
JAVACC
-
Java Compiler Compiler, Sun's parser generator
that produces parsers in Java from grammar
specifications written in a LEX/YACC-like manner.
Completely written in Java.
Top-down parsing (recursive descent) with variable lookahead.
MORE ...
-
JAX
-
Jax is a java lex compiler that generates scanners from regular expressions
embedded in a skeleton java file.
Jax is not [f]lex, and in particular,
does not permit defining macros or context dependent expression matching.
MORE ...
-
JAY
-
A version of BSD Yacc that generates Java code.
MORE ...
-
JB
-
The jb system takes parsers generated using the Gnu Bison parser generator
system and translates them to execute in Java (tm). Jb takes the C file
output by Bison and scans it to extract the parse tables and constants. Jb
then scans various template files specified by the user and inserts the
extracted information at specified points in the templates.
Jb provides two methods of generating corresponding lexers.
(1) the jb system can also take lexers generated using the
Gnu flex generator and translate them to execute in Java.
(2) A generic ad-hoc lexer that can be modified to produce
lexers for typical programming languages.
MORE ...
-
JELL
-
Jell is a parser generator that generates recursive descent
parsers from LL(1) grammars. You can also embed extra directives
to get past any of that tricky non LL(1) stuff.
MORE ...
-
JFLEX
-
JFlex is a lexical analyzer generator for Java with
full Unicode support and builtin support for the CUP parser generator.
MORE ...
-
JLEX
-
JLex is a lexical analyzer generator, that can be used in combination with CUP.
MORE ...
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JTB
-
The Java Tree Builder is to be used with the JavaCC parser generator.
It takes a plain JavaCC grammar file as input
and automatically generates the following:
a set of syntax tree classes based on the productions in the grammar,
utilizing the Visitor design pattern;
a Visitor superclass whose default methods simply visit the children of the
current node;
a JavaCC grammar with the proper annotations to build the syntax tree
during parsing.
MORE ...
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LOLO
-
lolo extracts symbols from a sequence of input characters belonging
to the ASCII or Unicode sets. lolo scanners can be extended without
access to the source code: symbol recognizers can be derived by
inheritance and an executing scanner can be reconfigured for
different contexts. Recognizer actions are represented by objects
which may be replaced at any time. Recognizers need not be based
on finite state automata; therefore, lolo can recognize
symbols that systems like lex cannot recognize directly.
MORE ...
-
OOPS
-
Oops is an object-oriented parser generator implemented in Java.
Oops takes a grammar written in EBNF, checks that it is indeed LL(1),
i.e., suitable for recursive descent parsing,
and produces a parser as a set of serialized objects.
MORE ...
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PAT
-
Package COM.stevesoft.pat enables a java application or applet
to compile and use perl5 regular expressions.
It also does text substitutions.
The package works by converting the regular expression
into a singly-linked list of Pattern objects,
each of which knows how to match its own piece of text.
Because of this, it is possible for you to extend the
pattern matching capability of this package by
making your own classes from Pattern.
MORE ...
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SABLE CC
-
SableCC is an object-oriented framework that generates compilers
(and interpreters) in the Java programming language.
It uses object-oriented techniques to automatically build a strictly
typed abstract syntax tree that matches the grammar of the compiled language
and simplifies debugging.
It generates tree-walker classes using an extended version
of the visitor design pattern which enables the implementation
of actions on the nodes of the abstract syntax tree using inheritance.
MORE ...


IndexSchema
and FieldType
implementations for powering schema.xmlSee: Description
| Interface | Description |
|---|---|
| DateValueFieldType |
Marker interface for Date-valued field types.
|
| DoubleValueFieldType |
Marker interface for double-valued field types.
|
| ExchangeRateProvider |
Interface for providing pluggable exchange rate providers to @CurrencyField
|
| FloatValueFieldType |
Marker interface for float-valued field types.
|
| IntValueFieldType |
Marker interface for int-valued field types.
|
| LongValueFieldType |
Marker interface for long-valued field types.
|
| NumericValueFieldType |
Marker interface for numeric-valued field types.
|
| PreAnalyzedField.PreAnalyzedParser |
Parse the input and return the stored part and the tokens with attributes.
|
| SchemaAware |
An interface that can be extended to provide a callback mechanism for
informing an
IndexSchema instance of changes to it, dynamically
performed at runtime. |
| SpatialQueryable |
Indicate that the implementing class is capable of generating a Query against spatial resources.
|
| Class | Description |
|---|---|
| AbstractSpatialFieldType<T extends SpatialStrategy> |
Abstract base class for Solr FieldTypes based on a Lucene 4
SpatialStrategy . |
| AbstractSpatialPrefixTreeFieldType<T extends PrefixTreeStrategy> | |
| AbstractSubTypeFieldType |
An abstract base class for FieldTypes that delegate work to another
FieldType . |
| BBoxField | |
| BinaryField | |
| BoolField | |
| ClassicIndexSchemaFactory | |
| CollationField |
Field for collated sort keys.
|
| CoordinateFieldType |
A CoordinateFieldType is the base class for
FieldType s that have semantics
related to items in a coordinate system. |
| CopyField |
CopyField contains all the information of a valid copy fields in an index. |
| CurrencyField |
Field type for support of monetary values.
|
| DateRangeField |
A field for indexed dates and date ranges.
|
| EnumField |
Field type for support of string values with custom sort order.
|
| ExternalFileField |
Get values from an external file instead of the index.
|
| ExternalFileFieldReloader |
An event listener to reload ExternalFileFields for new searchers.
|
| FieldProperties | |
| FieldType |
Base class for all field types used by an index schema.
|
| FieldTypePluginLoader | |
| GeoHashField |
This is a class that represents a Geohash field.
|
| IndexSchema |
IndexSchema contains information about the valid fields in an index
and the types of those fields. |
| IndexSchema.DynamicCopy | |
| IndexSchema.DynamicField | |
| IndexSchema.DynamicReplacement | |
| IndexSchema.DynamicReplacement.DynamicPattern | |
| IndexSchemaFactory |
Base class for factories for IndexSchema implementations
|
| JsonPreAnalyzedParser | |
| LatLonType |
Represents a Latitude/Longitude as a 2 dimensional point.
|
| ManagedIndexSchema |
Solr-managed schema - non-user-editable, but can be mutable via internal and external REST API requests.
|
| ManagedIndexSchemaFactory |
Factory for ManagedIndexSchema
|
| OpenExchangeRatesOrgProvider |
Exchange Rates Provider for
CurrencyField capable of fetching &
parsing the freely available exchange rates from openexchangerates.org |
| PointType |
A point type that indexes a point in an n-dimensional space as separate fields and supports range queries.
|
| PreAnalyzedField |
Pre-analyzed field type provides a way to index a serialized token stream,
optionally with an independent stored value of a field.
|
| PreAnalyzedField.ParseResult |
This is a simple holder of a stored part and the collected states (tokens with attributes).
|
| PrimitiveFieldType |
Abstract class defining shared behavior for primitive types
Intended to be used as base class for non-analyzed fields like
int, float, string, date etc, and set proper defaults for them
|
| RandomSortField |
Utility Field used for random sorting.
|
| RptWithGeometrySpatialField |
A Solr Spatial FieldType based on
CompositeSpatialStrategy . |
| SchemaField |
Encapsulates all information about a Field in a Solr Schema
|
| SchemaManager |
A utility class to manipulate schema using the bulk mode.
|
| SimilarityFactory |
A factory interface for configuring a
Similarity in the Solr
schema.xml. |
| SimplePreAnalyzedParser |
Simple plain text format parser for
PreAnalyzedField . |
| SpatialPointVectorFieldType | |
| SpatialRecursivePrefixTreeFieldType | |
| SpatialTermQueryPrefixTreeFieldType | |
| StrField | |
| StrFieldSource | |
| TextField |
TextField is the basic type for configurable text analysis. |
| TrieDateField |
FieldType that can represent any Date/Time with millisecond precision.
|
| TrieDoubleField |
A numeric field that can contain double-precision 64-bit IEEE 754 floating
point values.
|
| TrieField | |
| TrieFloatField |
A numeric field that can contain single-precision 32-bit IEEE 754
floating point values.
|
| TrieIntField |
A numeric field that can contain 32-bit signed two's complement integer values.
|
| TrieLongField |
A numeric field that can contain 64-bit signed two's complement integer values.
|
| UUIDField |
This FieldType accepts UUID string values, as well as the special value
of "NEW" which triggers generation of a new random UUID.
|
| ZkIndexSchemaReader |
Keeps a ManagedIndexSchema up-to-date when changes are made to the serialized managed schema in ZooKeeper
|
| Enum | Description |
|---|---|
| FieldType.MultiValueSelector |
An enumeration representing various options that may exist for selecting a single value from a
multivalued field.
|
| SchemaManager.OpType | |
| TrieField.TrieTypes |
| Exception | Description |
|---|
IndexSchema
and FieldType
implementations for powering schema.xmlCopyright © 2000-2016 Apache Software Foundation. All Rights Reserved.


» Olive (Olea europaea) regeneration and genetic transformation
Olive is a woody species that present serious problems to regenerate and transform. Our research team had set up an in vitro regeneration system by means of somatic embryogenesis, as well as a genetic transformation system starting from an embryogenic callus. Using this system, we're evaluating the role of some olive genes in oil quality. We're also working in the production of plants with enhanced tolerance to fungal pathogens.


[Gecode] Simplified commit
Christian Schulte
schulte at imit.kth.se
Fri Jul 16 15:30:50 CEST 2004
The simplification takes into account that the preferred way to do search in
Gecode is based on batch recomputation.
A branching now only requires a commit(int,BranchDesc*) virtual member
function. This member function must be prepared to be called with NULL as
BranchDesc in which case commiting has to be driven by information taken
from the branching.
All code has been adapted (I also made branching for sets more incremental).
Christian
--
Christian Schulte, http://www.imit.kth.se/~schulte/
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