ExactGPModel
(train_x
, train_y
, likelihood
) :: ExactGP
The base class for any Gaussian process latent function to be used in conjunction
with exact inference.
:param torch.Tensor train_inputs: (size n x d) The training features :math:\mathbf X
.
:param torch.Tensor train_targets: (size n) The training targets :math:\mathbf y
.
:param ~gpytorch.likelihoods.GaussianLikelihood likelihood: The Gaussian likelihood that defines
the observational distribution. Since we're using exact inference, the likelihood must be Gaussian.
The :meth:forward
function should describe how to compute the prior latent distribution
on a given input. Typically, this will involve a mean and kernel function.
The result must be a :obj:~gpytorch.distributions.MultivariateNormal
.
Calling this model will return the posterior of the latent Gaussian process when conditioned
on the training data. The output will be a :obj:~gpytorch.distributions.MultivariateNormal
.
Example:
>>> class MyGP(gpytorch.models.ExactGP):
>>> def __init__(self, train_x, train_y, likelihood):
>>> super().__init__(train_x, train_y, likelihood)
>>> self.mean_module = gpytorch.means.ZeroMean()
>>> self.covar_module = gpytorch.kernels.ScaleKernel(gpytorch.kernels.RBFKernel())
>>>
>>> def forward(self, x):
>>> mean = self.mean_module(x)
>>> covar = self.covar_module(x)
>>> return gpytorch.distributions.MultivariateNormal(mean, covar)
>>>
>>> # train_x = ...; train_y = ...
>>> likelihood = gpytorch.likelihoods.GaussianLikelihood()
>>> model = MyGP(train_x, train_y, likelihood)
>>>
>>> # test_x = ...;
>>> model(test_x) # Returns the GP latent function at test_x
>>> likelihood(model(test_x)) # Returns the (approximate) predictive posterior distribution at test_x


 Sed finibus feugiat augue, sollicitudin malesuada enim tempus a. Morbi ut sem dapibus, blandit mi nec, suscipit nibh. Nulla eget scelerisque urna. Praesent pellentesque sagittis tortor a accumsan. Morbi sit amet elementum lorem.
Bootply is a playground for Bootstrap that enables developers and designers to test, prototype and create mockups using Bootstrap friendly HTML, CSS and Javascript. Bootstrap is a front-end framework that uses CSS and JavaScript to facilitate responsive Web design.
Bootstrap is a front-end framework that uses CSS and JavaScript to facilitate responsive Web design. Bootply is a playground for Bootstrap that enables developers and designers to test, prototype and create mockups using Bootstrap friendly HTML, CSS and Javascript.


A domain name is a string of text that maps to a numeric Internet Protocol address, used to access a website from client software
IP address is a numerical label assigned to each device connected to a network that uses the IP for communication
The Domain Name System (DNS) is the phonebook of the Internet. Humans access information online through domain names.
The Hypertext Transfer Protocol (HTTP) is an application layer protocol for distributed, collaborative, hypermedia information systems
HTML is the markup language for designed to be displayed in a web browser. CSS is a style sheet language used of a document written in HTML


This visualization was inspired by a question of M. Aliberti and the excellent Wikipedia page on cardiods.
Cardiods can be obtained in the following fashion.
Roll a circle (blue) along a fixed circle (gray) of the same radius without any slipping (``rolling with perfect friction'').
Fix a pen on the rolling circle (magenta point).
The curve plotted by the tip of the pen on the underlying canvas is called a cardiod.
The distance rolled is manipulated by the ``rollingAngle'' variable.
If rather than attaching the pen on rolling circle, we attach it on a frame firmly glued to the rolling circle but of larger radius, we get a new cardiod curve.
The radius of the frame is manipulated via the ``frameRadius'' variable.
The difference between the rolling circle and the frame is drawn in gray.
As we vary the frame radius, we get a one-parameter family of cardiod curves
What if we change the ratio of the rolling circle radius to the fixed circle radius? We get another infinite family of curves.
Notice how a tiny change in the ratios of the two circle radii produces dramatic changes in the shape of the curve.
This shape change would be even more drastic if the ratio of the radii is irrational - in fact then the resulting curve would appear to ``fill'' an entire section of the screen.
You can manipulate the fixed circle radius and the rolling circle radius via the ``rollingRadius'' and ``fixedRadius'' variables.


Name:
Choose your reasons
Please comment here for any deatils
Song: Smooth Romantic Piano Jazz Solo William Hernandez


| Table 1 |
Four study umudugudu characterized in terms of type and degr ... |
| Table 2 |
Household livelihood capitals organized into four groups thr ... |
| Table 3 |
Specific capacities for adapting to and coping with climate ... |
| Table 4 |
Results of ANOVA and Chi-Square, displaying variation in mem ... |
| Table 5 |
Results of ANOVA and Chi-Square, displaying differential acc ... |
| Table 6 |
Results of binary logistic regression and of multivariate re ... |
| Table 7 |
Results of Chi-Square and ANOVA indicating variation across ... |


Clusters of Orientation Data, Plot:
Significant separation of clusters in the distribution is carried out.
The statistic parameters of the clusters are calculated as shown in the program 8 (Fabric). Sperical aperture and cone of confidence are drawn with the cluster-centre (centre of gravity) as centre. In the menu confidence the probability level saved in Fabric.ini can be changed.
In the menu colour the colours of all plot parameters saved in Fabric7.ini can be changed. In the menu ‚Symbol for data points' the plot symbol can be changed.
The menu ‚Diagram‚ ist the same as in the other programs.


OneHour
The simplest iOS timer ever.
Use OneHour to focus on something for up to one hour.
Set the timer by dragging.
It will pulse and notify you when time is up.
Set a time to finish one task for up to an hour, then focus on getting it done.
Manage your life for the future, because the best is yet to come!
OneHour is perfect for reading, studying, cooking, exercising, meditating, chores, or task-oriented work.
It's a simple, sensitive, useful timer.
Happy focusing!


Articles
About
Contact
Hi...I'm Miriam and
I write about
Travelling
Latest Articles
Travel Inspiration: Into the Wild
Perfect Places for Photography


Oak Park
Oak Park Library – Calendar http://oppl.evanced.info/signup/Week?lib=0,1,2,7,1003
Park District of Oak Park http://www.pdop.org/
Village of Oak Park http://www.oak-park.us/
Community Mental Health Board http://oakpark.il.networkofcare.org/mh/content.aspx?id=679
Lifelong Learning Center https://sccoprforg.wordpress.com/
Arbor West Neighbors https://www.arborwestneighbors.org/
Rush Oak Park Hospital https://www.roph.org/health-wellness/classes-events-support-groups
West Suburban Hospital https://www.westsuburbanmc.com/our-services/senior-health/news-classes-events
River Forest
River Forest Library – Calendar http://riverforestlibrary.evanced.info/signup/calendar
Park District of River Forest http://rfparks.com/
River Forest Township http://www.riverforesttownship.org/
Village of River Forest https://vrf.us/
For more information, and to sign up for any Senior Services programs, please call<PHONE_NUMBER>.


This project is being managed offline.
Project setup has been completed offline.
Project details
These project details were supplied by the lead partner on behalf of the project.
| Question | Answer | |
|---|---|---|
| Target start date |
|
|
| Correspondence address |
|
|
| Project Manager | John Smith | Not yet completed |
Partner details
Each partner must provide a finance contact and a project location.
| Partner | Finance contact | Project location |
|---|---|---|
|
|
|
|
Partner finance contacts
Each partner must provide a finance contact. We will contact them with any finance queries.
| Partner | Finance contact |
|---|---|
|
|
|


- RawValue - first of all this is not always a string.
- If it comes from RouteData it can be something else (int).
- If it comes from Request.Form - it may be array of something (ints).
- AttemptedValue - is just a RawData converted to string using (Convert.ToString with culture info). But in case it is obtained from Request.Form it is just a poor value of the posted data.
TObject GetObjectFromRequest<TObject>(string name) where TObject: class, ILoopBack { var vpr = ValueProvider.GetValue(name); if (vpr == null) return null; return WorkSpace.GetObject<TObject>(vpr.AttemptedValue); }
Usage sample:
public ActionResult DoSomething(MyObject obj) { obj.Parent = GetObjectFromRequest<MyParentObject>("parent"); return View(); // Or whatever }


Run
Auto-run
Local Map
Local Reduce
Local pipeline
Server Pipeline
Get Results
Tasks Stats
Input is not a number!
Set node count
add


PRICE OF GLORY A film review by Jeremiah Kipp Copyright 2001 filmcritic.com filmcritic.com
Father knows best. Ex-boxer Arturo Ortega (Jimmy Smits, Bless the Child) has placed his three sons on the assembly line for success, manufacturing them into perfect fighting champions. With his high intensity training, they'll be given the opportunities he never had. When his kids grow up and each decides to pursue opportunities in and out of the ring, the family unit starts to crumble. Can they weather the Price of Glory?
The standard repertoire of confrontation, hope, and tragedy all fall into place. Arturo thinks one of his boys doesn't have the makings of a champion, but maybe he isn't looking hard enough. Another son (Jon Seda, Selena) wants to get married, but settling down could ruin his shot at the big title. Familiar archetypes emerge and follow their routes to a traditional grand finale.
Price of Glory speaks from the voice of Latino experience, all too often ignored in mainstream cinema, and an appealing cast elevates this made-for-television material. Jimmy Smits stands out in particular, bringing an easy charisma and measured patience to the role of coach and father. The entire production is slick and well lit, if indistinct from the glossy Hollywood look of other dramas. The boxing seems a little too sanitary for such a violent sport, but the actors throw themselves into it with appropriate gusto.
While the intentions are good, Price of Glory is never confident enough to push the boundaries of the sports drama mold. Small, character driven moments get swept up in the single-minded mechanism of plot. It's those seemingly minor details that separate truly great stories from those which are merely adequate. Price of Glory, not unlike Arturo Ortega, barely misses its shot at the title.

Visit filmcritic.com on the Web at http://www.filmcritic.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Anvil Ventures Announces Vincent Berg Appointed as First Partner
Anvil Ventures, a boutique information security consulting partnership, announced today that Vincent Berg has been named the company's first full Partner, effective immediately.
"I am honored to take on the role at Anvil," said Berg. "I see this as a great opportunity to be an early Partner in a partnership well suited to become a leader in the elite information security space."
"Anvil is a relatively young firm and needed to bring a Partner of Vincent’s caliber on board to help us continue expanding our capacity and focusing on the best quality services possible” said Chris Elbring, Managing Partner at Anvil Ventures. “I have worked with Vincent in the past and know that he will be a huge asset to Anvil as we grow further. Anvil was founded to bring the highest quality information security consulting services to the hardest technical problems we can find while providing a model that we believe fosters an unflagging commitment to our customers’ success.”
For more information on Anvil Ventures, contact us at<EMAIL_ADDRESS>or to download the announcement see https://anvilventures.com/announce_gvb.pdf


Overview¶
This wiki is devoted to Neural MMO as a game. The current mechanics are fairly straightforward, but there is still some nuance – especially for those unfamiliar with MMOs. Familiarizing yourself with the game itself will help you understand how to script or train better agents, whether your agents are acting intelligently, and which mistakes suggest potential bugs in your code. While all of the documentation is open to user contributions, that is especially true for this wiki – simply edit the game_wiki rst and make a pull request. I’ll handle rebuilding the docs and testing.
Glossary¶
A quick reference of standard game terms for those unfamiliar: - Tick: The simulation interval of the server; a timestep. With rendering enabled, the server targets 0.6s/tick. - NPC: Non-Player Character; any agent not controlled by a user. Sometimes called a mob - Spawn: Entering into the game, e.g. players spawn with 10 health - RPG: Role-Playing Game, e.g. a game in which the player takes on a particular role, usually one removed from modern reality, such as that of a knight or wizard. MMO is short for MMORPG, as most MMOs are also role-playing games. - XP (exp): Experience, a stat associated with progression systems to represent levels.
Agent Actions¶
Agents may move North, South, East, or West. Submitting a move action is not required, in which case the agent will remain stationary.
If the Combat system (see Game Systems) is enabled, agents may Attack a nearby player or NPC with Melee, Range, and Mage. Submitting an attack is not required, in which case the agent will not attack. Agents cannot damage themselves.
Terrain¶
Game maps are made of two core materials: Grass and Stone. Players may only walk on stone, and each map is surrounded by a lava border, which kills players on contact. In the current version of the environment, the Resource system adds Forest and Scrub tiles (both of which are traversable), and no other systems add additional tile types.
Game Systems¶
While each game system is individually togggleable and configurable, we will assume the cannonical version of the game with all systems enabled and reference interactions between systems. Any such interactions will not be present if that/those game systems are disabled. All numerical values stated below are configurable.
In the base game with no systems enables, players have 10 health and may wander around the map. That’s about it.
Resource System¶
Adds Food and Water resources. Players spawn with 10 food and 10 water. They lose 1 food and 1 water each tick. Players regenerate 10% health per tick (rounded down) while over 50% food and water.
This system adds a Forest tile, which contains food. Walking over a Forest tile depletes it, replacing it with a Scrub tile and restoring 100% food to the player. Scrub tiles have a 2.5% chance to regenerate into Forest tiles each tick. Walking adjacent to a Water tile restores 100% water to the player.
Combat¶
Adds the ability for players to attack other players (and NPCs) with Melee, Range, and Mage combat. These attack styles are usable from 1, 3, and 4 tiles and inflict 7, 3, and 1 damage on a hit respectively. Hit chance is 50% by default. Mage attacks freeze the target in place for 3 ticks by default; this utility and their added range compensates for low damage.
NPC & Equipment¶
This system adds NPCs that may be defeated for equipment to the environment.
- NPCs are controlled by one of three scripted AIs: Passive, Neutral, and Hostile
Passive NPCs wander randomly and cannot attack
Neutral NPCs wander randomly but will attack aggressors and give chase using a Dijkstra’s algorithm based pathing routine
Hostile NPCs will actively hunt down and attack other NPCs and players using the same pathing algorithm
The exact number and power distribution of NPCs varies by environment config. Generally, Passive NPCs will spawn towards the edges of the map, Hostile NPCs spawn in the middle, and Neutral NPCs spawn somewhere between. The max NPC level (as defined by the Progression system) is 30 for Small maps and 99 for Large maps.
Upon defeat, NPCs drop equipment for the character that dealt the final blow. Equipment provides a defensive bonus that reduces the accuracy of incoming attacks. Higher level NPCs are likely to have higher level armor, which confers better bonuses.
Progression¶
This system allows players to improve at the abilities provided by other game systems by representing them as trainable skills. MMOs typically feature a very slow leveling system spanning hundreds to thousands of hours; in order to make progression relevant to the settings we are currently considering in Neural MMO, we have set a global PROGRESSION_BASE_XP_SCALE multiplier to around 10x that of traditional MMOs.
Fishing¶
Base Level: 10
XP Gained: base * water restored
Enables players to carry more water, equal to their current level
Hunting¶
Base Level: 10
XP Gained: base * food restored
Enables players to carry more food, equal to their current level
Constitution¶
Base Level: 10
XP Gained: 2 * base * (damage received + damage dealt)
Increases player health, equal to their current level
Defense¶
Base Level: 1
XP Gained: 4 * base * damage received
Decreased attacker accuracy. When a player makes an attack, the level of their offensive skill is used as the attack stat. The defense stat is 70% of the target’s corresponding attack skill plus 30% of their defense skill. The difference between the attack and defense stats is used to compute a difficulty, which the game rolls against to determine whether the attack hits.
Melee¶
Base Level: 1
XP Gained: 4 * base * damage dealt
Enables players to inflict more damage with melee according to:
Damage = floor(7 + level * 63 / 99)
Range¶
Base Level: 1
XP Gained: 4 * base * damage dealt
Enables players to inflict more damage with range according to:
Damage = floor(3 + level * 32 / 99)
Mage¶
Base Level: 1
XP Gained: 4 * base * damage dealt
Enables players to inflict more damage with mage according to:
Damage = floor(1 + level * 24 / 99)


BOGUE is a desktop GUI library (graphical user interface) for ocaml, which is
It can be used for desktop applications, for games, or simply for debugging programs (modifying variables on-the-fly, printing output, etc.)
This is an alpha release. There are known bugs, and it has not been tested for large and complex applications. Use at your own risk!
On the other hand, if you are not scared by this dislaimer, please try BOGUE! We need your feedback to make this library better!
Distributed under ISC license.
OK, go install it and try the minimal example. But then come back here to read a little bit about the general principles, it should help.
BOGUE is built around usual GUI notions (widgets, events, callbacks) but has some particularities that are good to know.
BOGUE has three ways of functioning (and they can be mixed):
it waits for events, draws the graphics, execute predefined actions when the user interacts (for instance, click on a button), and does this forever, until we decide to quit.
instead of using events to trigger an action, you can directly read data from any widget. For instance, continuously read what the user is typing in English to propose in real-time a translation in esperanto showed in another widget.
you have written a mainloop for your game, and sometimes you want to show GUI elements without stopping your loop. You just need to call BOGUE's "one_step" function at each frame, as you need.
BOGUE is not object oriented (it uses standard ocaml modules) but the feeling is not too different. There are mainly two types of objects: widgets and layout. Widgets are small graphics elements (buttons, images, etc.) and they can be combined into a Layout. Roughly speaking:
It's convenient to alias these modules in your program:
open Bogue
module W = Widget
module L = Layout
Widgets use directly the SDL2 library to draw themselves. Here is the list of implemented widgets:
Widgets also carry the logic of the GUI. They respond to events and they can be connected to another widget.
In some sense, a layout is like a house, or a room in a house, and a widget is a resident (inhabitant) of the house, or an object in a room. Objects can be connected: for instance your thermostat is connected to your heating system. If some event (like a heat wave) makes your thermostat react, then it should tell the heating system to do something.
More prosaically, if you click on a checkbox widget, you may want to change the text in a label widget (which can be located in another room (layout).
BOGUE uses this vocabulary of connections, but if you wish, they can be treated as simple callbacks (actions). The user can create connections either for the main program or to be run in a separate thread (which should be the default as soon at the action to be executed could take a long time to execute --- more than the frame rate which is about 17ms).
Layouts are created by the user to combine several widgets together. Of course the library also provides a number of predefined layouts, see below.
There are two types of layouts:
The geometry of rooms inside a house (= children layouts inside a parent layout) can be arbitrary, but the two main useful ones are:
[ [room#1] [room#2] ... [room#n] ]
[
[room#1]
[room#2]
...
[room#n]
]
Here is what we want to program:
We let the user enter her/his name on top of the window, for instance "Audrey", and simultaneously there is a large greeting message in the center of the window saying "Hello Audrey!".
It's not the most natural way of programming if one is not used to event-driven GUIs (like GTK+), but it's a powerful method (and also quite efficient, for large programs).
The program will look like the following.
The action: given a TextInput widget and a Label widget, we want to update the Label each time the user presses a key in the TextInput. Here is the action:
let action input label _ =
let text = W.get_text input in
W.set_text label ("Hello " ^ text ^ "!") in
The widgets: we need a TextInput and a Label:
let input = W.text_input ~max_size:200 ~prompt:"Enter your name" () in
let label = W.label ~size:40 "Hello!" in
We create a connection between them, reacting to the key-pressed events:
let c = W.connect input label action Sdl.Event.[text_input; key_down] in
We arrange the widgets in a layout (a tower with two residents):
let layout = L.tower [L.resident ~w:400 input; L.resident ~w:400 ~h:200 label] in
It remains to create the board and run it. That's it!
let board = Bogue.make [c] [layout] in
Bogue.run board
Note that the order 1. and 2. can be swapped. In more complex examples, you cannot always separate all these steps like this, you may need to mix them, for instance because you want a widget action to modify a layout on the fly...
For simple programs like our example, when the action is fast and will not block the interface, one can use the immediate mode, which is easier to program and debug (no event, no callback).
We define the two widgets and the layout as in steps 2 and 4 in the standard method above:
let input = W.text_input ~max_size:200 ~prompt:"Enter your name" () in
let label = W.label ~size:40 "Hello!" in
let layout = L.tower [L.resident ~w:400 input; L.resident ~w:400 ~h:200 label] in
We define the action to be executed at each frame display (of course it's not a pure function, it uses the variables input
and label
defined above):
let before_display () =
let text = W.get_text input in
W.set_text label ("Hello " ^ text ^ "!") in
We make the board and run it. Done!
let board = Bogue.make [] [layout] in
Bogue.run ~before_display board
This is only useful if you already have an application with an event/display loop (like a game) and you want to add some GUI on top of this.
use one of the methods above to create your board
use Bogue.make_windows
to either create news windows for the GUI, or use already existing SDL windows.
anytime you want to show the GUI, just call the Bogue.one_step
function in your loop, in general after all other renderings and just before Sdl.render_present
. When the GUI is displayed, be sure to disable all event handling functions that could interfere with BOGUE.
See the file Embedded.md
for more details.
Of course. It's here. It's not really complete yet (some functions that are used internally but might be useful enough to be made public are not shown there), please ask if a feature is missing.


Copyright © Copyright (c) 2014, ThusFresh, Inc
Behaviours: cowboy_websocket_handler.
Authors: Thomas Moulia (jtmoulia@pocketknife.io).
JMAP command handler.
This module is a websocket interface that handles JMAP commands.
1. Receives a list of JMAP commands encoded in JSON over the websocket. 2. Decodes the commands, and converts each command list into a tuple. 3. Handles each command using thecall
function.
4. Encodes and replies with the list of responses.
jmap() = {Method::jmap_method(), Args::[jmap_arg()], ClientID::undefined | binary()}
jmap_arg() = {binary(), binary() | integer()}
jmap_method() = binary()
| connect/1 | Connect a new account using a proplistsconnspec augmented with auth data, e.g. |
| decode/1 | Decode a JMAP call binary into a proplist data structure. |
| encode/1 | Encode JMAP call proplists as JSON. |
| err/1 | Create an error message using only the error Type . |
| err/2 | Create an error message for the JMAP command by including the
command Method and Args with the error Type . |
| mailbox_id/2 | Encode a mailboxId from the mailbox name and UID validity number. |
| mailbox_name_to_id/2 | Returns the mailbox ID given its name. |
| message_id/2 | Encode a messageId from a mailboxId and UID. |
| state_by_account/1 | Returns the minimal jmap state using the Account provided. |
connect(Args::[proplists:property()]) -> {ok, imap:account(), imap:connspec(), boolean()} | {error, term()}
Connect a new account using a proplistsconnspec augmented with auth data, e.g.
ConnSpec = [{host, Host}, {port, Port}, {auth, Auth}].
decode(JSON::binary()) -> [jmap()]
Decode a JMAP call binary into a proplist data structure.
encode(JMAPs::[jmap()]) -> binary()
Encode JMAP call proplists as JSON.
err(Type::binary()) -> jmap()
Create an error message using only the error Type
.
Create an error message for the JMAP command by including the
command Method
and Args
with the error Type
.
mailbox_id(MailboxName::binary(), UIDValidity::binary() | integer()) -> binary()
Encode a mailboxId from the mailbox name and UID validity number.
mailbox_name_to_id(Conn::binary() | pid(), Name::binary()) -> {ok, binary()} | {error, term()}
Returns the mailbox ID given its name.
message_id(MailboxId::binary(), Uid::binary() | integer()) -> binary()
Encode a messageId from a mailboxId and UID.
state_by_account(Account::binary()) -> #state{connspec = imap:connspec() | none, account = imap:account(), owner = boolean(), watched_mailboxes = sets:set()}
Returns the minimal jmap state using the Account provided.
Generated by EDoc, Apr 7 2015, 00:17:53.


The following maps were done as part of the DataKind DataDive held at the Bill & Melinda Gates Foundation, August 27th, 2016
Wheat is an important crop in Ethiopia. Favorable environments for wheat ar also favorable for wheat rust, which is a fungal disease that can devastate crops. In 2010 Ethiopia experienced the largest yellow rust epidemic in recent history with over 600,000 ha of wheat affected (losses in individual fields around 70-80%) and an estimated US 3.2 million spent on fungicides. The stem rust epidemics in 2013, 2014 and also some in 2015 were estimated to cover around 30-50,000 ha and were more localized in the southern areas. Losses here were 100% in the worst affected areas.
Dave Hodson of CIMMYT coordinates BGRI (Borlaug Global Rust Initiative). They have been collecting the survey data shown here.
Each point describes one sample in these surveys. They are colored according to the severity of Stem Rust identified in this location.
Click on a point to see data from remote sensing of reflectance in this location.
Toggle Menu


Thomas P Brown
History
I have Lived in memphis TN most of my life. I have been into video games from a young age and seek to pursue a career in game Development. After graduating from high-school I didn't know yet what to do with my life until i joined CodeCrews program that is helping me pursue my passion.
Current Location
Currently i live in Memphis TN, my main focus is learning with CodeCrew to further my experience and knowledge of coding and programing. I am currently working on CodeCrew classes primarily and focusing my full attention on it.


UIFont
-
Undocumented
Declaration
Swift
@objc open class var roundedButtonTitle: UIFont
-
Undocumented
Declaration
Swift
@objc open class var headerViewHeaderLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var headerViewDetailsLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var headerViewPromptLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var footnoteLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var stepCountLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var boldStepCountLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var choiceCellLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var textFieldCellLabel: UIFont
-
Undocumented
Declaration
Swift
@objc open class var textFieldCellText: UIFont
-
Undocumented
Declaration
Swift
@objc open class var textFieldFeaturedCellText: UIFont


Welcome to Gamedev 101: the hands-on game development crash-course by Dan Hett, hosted by Madlab.
This site contains all of the lesson content for the Gamedev 101 workshop sessions: written materials, visual assets and software resources all live here.
Note: This content is specificially designed to compliment the classroom-based Gamedev 101 course, but if you've stumbled onto this site and wish to use anything, feel free! Everything is under a public domain license (although I'd love to see what you do with it!)
1) Get the software
If you're just getting started on Gamedev 101, you're going to need some software. Absolutely everything used on the course is free to download, cross-platform, and most of it is open source. Hit the Software page for links and installation instructions.
2) Get the assets
Assets and code that you'll need for Gamedev 101 is kept on the Assets page. This is mostly as a backup, attendees will be given everything on a USB during the workshops.
3) Go!
If you have the software installed and the assets saved somewhere on your computer, you're ready for the workshop. Woo yay!
Issues? Feedback? Get in touch.
If you're having any issues with any of the Gamedev 101 course software or content, or if you have any feedback, please do get in touch by emailing<EMAIL_ADDRESS>or drop us a tweet. For questions relating to Madlab itself, please email office@madlab.org.uk.


Latch
A simple Swift 2.0 Keychain Wrapper for iOS, watchOS 2, and OS X.
Usage
A proper example of how to use Latch can be seen in the tests.
import Latch
let latch = Latch(service: "co.rocketapps.latch.example")
latch.setObject("super_secret_token", forKey: "FBAccessToken")
let token = latch.stringForKey("FBAccessToken")
print(token)
Documentation
You can find full documentation for Latch here, or use the inline documentation.
Installation
Latch can be installed using CocoaPods, Carthage, or git submodules.
CocoaPods
- Add
pod "Latch"
to your podfile - Run
pod install
Carthage
- Add
github "endocrimes/Latch"
to your Cartfile $ carthage update
- Copy the frameworks into your Xcode project
Git Submodules
$ git submodule add https://github.com/endocrimes/Latch.git
$ git submodule update --init --recursive
- Add the project
Contributing
Issues
Issues and feature requests are welcome, although the intention is to keep Latch lightweight.
Submitting Pull Requests
- Fork it ( http://github.com/endocrimes/Latch/fork )
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request


About PicPoll.in (picpollin')
PicPoll.in is the site where you can create and share your own polls with a pic.
All this as anonymous:)
Apart of the fun associated with it you can also show it to your boss and get promoted.
 I enjoy wasting my time with my friends.
If you have any bugs or suggestions you can contact me on
<EMAIL_ADDRESS>Soon I will be updating a bug tracker for this
I will just leave it there if you want to contact me for the awesome i am destined to have(without a boss)
Mohammad RafiCreate Your Badge
#TODO:
Better facebook integration(with an ability to poll results as well
make it work on IE(Bleh)
change the share butttons(write your own)
SEO


Bases: skimage.transform._geometric.ProjectiveTransform
2D affine transformation of the form:
X = a0*x + a1*y + a2 =
= sx*x*cos(rotation) - sy*y*sin(rotation + shear) + a2
Y = b0*x + b1*y + b2 =
= sx*x*sin(rotation) + sy*y*cos(rotation + shear) + b2
where sx and sy are zoom factors in the x and y directions, and the homogeneous transformation matrix is:
[[a0 a1 a2]
[b0 b1 b2]
[0 0 1]]
| Parameters : | matrix : (3, 3) array, optional
scale : (sx, sy) as array, list or tuple, optional
rotation : float, optional
shear : float, optional
translation : (tx, ty) as array, list or tuple, optional
|
|---|
Bases: skimage.transform._geometric.ProjectiveTransform
2D piecewise affine transformation.
Control points are used to define the mapping. The transform is based on a Delaunay triangulation of the points to form a mesh. Each triangle is used to find a local affine transform.
Set the control points with which to perform the piecewise mapping.
Number of source and destination coordinates must match.
| Parameters : | src : (N, 2) array
dst : (N, 2) array
|
|---|
Apply inverse transformation.
Coordinates outside of the mesh will be set to - 1.
| Parameters : | coords : (N, 2) array
|
|---|---|
| Returns : | coords : (N, 2) array
|
Bases: skimage.transform._geometric.GeometricTransform
2D transformation of the form:
X = sum[j=0:order]( sum[i=0:j]( a_ji * x**(j - i) * y**i ))
Y = sum[j=0:order]( sum[i=0:j]( b_ji * x**(j - i) * y**i ))
| Parameters : | params : (2, N) array, optional
|
|---|
Set the transformation matrix with the explicit transformation parameters.
You can determine the over-, well- and under-determined parameters with the total least-squares method.
Number of source and destination coordinates must match.
The transformation is defined as:
X = sum[j=0:order]( sum[i=0:j]( a_ji * x**(j - i) * y**i ))
Y = sum[j=0:order]( sum[i=0:j]( b_ji * x**(j - i) * y**i ))
These equations can be transformed to the following form:
0 = sum[j=0:order]( sum[i=0:j]( a_ji * x**(j - i) * y**i )) - X
0 = sum[j=0:order]( sum[i=0:j]( b_ji * x**(j - i) * y**i )) - Y
which exist for each set of corresponding points, so we have a set of N * 2 equations. The coefficients appear linearly so we can write A x = 0, where:
A = [[1 x y x**2 x*y y**2 ... 0 ... 0 -X]
[0 ... 0 1 x y x**2 x*y y**2 -Y]
...
...
]
x.T = [a00 a10 a11 a20 a21 a22 ... ann
b00 b10 b11 b20 b21 b22 ... bnn c3]
In case of total least-squares the solution of this homogeneous system of equations is the right singular vector of A which corresponds to the smallest singular value normed by the coefficient c3.
| Parameters : | src : (N, 2) array
dst : (N, 2) array
order : int, optional
|
|---|
Bases: skimage.transform._geometric.GeometricTransform
Matrix transformation.
Apply a projective transformation (homography) on coordinates.
For each homogeneous coordinate , its target position is calculated by multiplying with the given matrix, , to give :
[[a0 a1 a2]
[b0 b1 b2]
[c0 c1 1 ]].
E.g., to rotate by theta degrees clockwise, the matrix should be:
[[cos(theta) -sin(theta) 0]
[sin(theta) cos(theta) 0]
[0 0 1]]
or, to translate x by 10 and y by 20:
[[1 0 10]
[0 1 20]
[0 0 1 ]].
| Parameters : | matrix : (3, 3) array, optional
|
|---|
Set the transformation matrix with the explicit transformation parameters.
You can determine the over-, well- and under-determined parameters with the total least-squares method.
Number of source and destination coordinates must match.
The transformation is defined as:
X = (a0*x + a1*y + a2) / (c0*x + c1*y + 1)
Y = (b0*x + b1*y + b2) / (c0*x + c1*y + 1)
These equations can be transformed to the following form:
0 = a0*x + a1*y + a2 - c0*x*X - c1*y*X - X
0 = b0*x + b1*y + b2 - c0*x*Y - c1*y*Y - Y
which exist for each set of corresponding points, so we have a set of N * 2 equations. The coefficients appear linearly so we can write A x = 0, where:
A = [[x y 1 0 0 0 -x*X -y*X -X]
[0 0 0 x y 1 -x*Y -y*Y -Y]
...
...
]
x.T = [a0 a1 a2 b0 b1 b2 c0 c1 c3]
In case of total least-squares the solution of this homogeneous system of equations is the right singular vector of A which corresponds to the smallest singular value normed by the coefficient c3.
In case of the affine transformation the coefficients c0 and c1 are 0. Thus the system of equations is:
A = [[x y 1 0 0 0 -X]
[0 0 0 x y 1 -Y]
...
...
]
x.T = [a0 a1 a2 b0 b1 b2 c3]
| Parameters : | src : (N, 2) array
dst : (N, 2) array
|
|---|
Apply inverse transformation.
| Parameters : | coords : (N, 2) array
|
|---|---|
| Returns : | coords : (N, 2) array
|
Bases: skimage.transform._geometric.ProjectiveTransform
2D similarity transformation of the form:
X = a0*x - b0*y + a1 =
= m*x*cos(rotation) + m*y*sin(rotation) + a1
Y = b0*x + a0*y + b1 =
= m*x*sin(rotation) + m*y*cos(rotation) + b1
where m is a zoom factor and the homogeneous transformation matrix is:
[[a0 b0 a1]
[b0 a0 b1]
[0 0 1]]
| Parameters : | matrix : (3, 3) array, optional
scale : float, optional
rotation : float, optional
translation : (tx, ty) as array, list or tuple, optional
|
|---|
Set the transformation matrix with the explicit parameters.
You can determine the over-, well- and under-determined parameters with the total least-squares method.
Number of source and destination coordinates must match.
The transformation is defined as:
X = a0*x - b0*y + a1
Y = b0*x + a0*y + b1
These equations can be transformed to the following form:
0 = a0*x - b0*y + a1 - X
0 = b0*x + a0*y + b1 - Y
which exist for each set of corresponding points, so we have a set of N * 2 equations. The coefficients appear linearly so we can write A x = 0, where:
A = [[x 1 -y 0 -X]
[y 0 x 1 -Y]
...
...
]
x.T = [a0 a1 b0 b1 c3]
In case of total least-squares the solution of this homogeneous system of equations is the right singular vector of A which corresponds to the smallest singular value normed by the coefficient c3.
| Parameters : | src : (N, 2) array
dst : (N, 2) array
|
|---|
| skimage.transform.downscale_local_mean(...) | Down-sample N-dimensional image by local averaging. |
| skimage.transform.estimate_transform(ttype, ...) | Estimate 2D geometric transformation parameters. |
| skimage.transform.frt2(a) | Compute the 2-dimensional finite radon transform (FRT) for an n x n |
| skimage.transform.hough_circle | Perform a circular Hough transform. |
| skimage.transform.hough_ellipse | Perform an elliptical Hough transform. |
| skimage.transform.hough_line | Perform a straight line Hough transform. |
| skimage.transform.hough_line_peaks(hspace, ...) | Return peaks in hough transform. |
| skimage.transform.ifrt2(a) | Compute the 2-dimensional inverse finite radon transform (iFRT) for |
| skimage.transform.integral_image(x) | Integral image / summed area table. |
| skimage.transform.integrate(ii, r0, c0, r1, c1) | Use an integral image to integrate over a given window. |
| skimage.transform.iradon(radon_image[, ...]) | Inverse radon transform. |
| skimage.transform.iradon_sart(radon_image[, ...]) | Inverse radon transform |
| skimage.transform.probabilistic_hough_line | Return lines from a progressive probabilistic line Hough transform. |
| skimage.transform.pyramid_expand(image[, ...]) | Upsample and then smooth image. |
| skimage.transform.pyramid_gaussian(image[, ...]) | Yield images of the Gaussian pyramid formed by the input image. |
| skimage.transform.pyramid_laplacian(image[, ...]) | Yield images of the laplacian pyramid formed by the input image. |
| skimage.transform.pyramid_reduce(image[, ...]) | Smooth and then downsample image. |
| skimage.transform.radon(image[, theta, circle]) | Calculates the radon transform of an image given specified projection angles. |
| skimage.transform.rescale(image, scale[, ...]) | Scale image by a certain factor. |
| skimage.transform.resize(image, output_shape) | Resize image to match a certain size. |
| skimage.transform.rotate(image, angle[, ...]) | Rotate image by a certain angle around its center. |
| skimage.transform.swirl(image[, center, ...]) | Perform a swirl transformation. |
| skimage.transform.warp(image[, inverse_map, ...]) | Warp an image according to a given coordinate transformation. |
| skimage.transform.warp_coords(coord_map, shape) | Build the source coordinates for the output pixels of an image warp. |
Down-sample N-dimensional image by local averaging.
The image is padded with cval if it is not perfectly divisible by the integer factors.
In contrast to the 2-D interpolation in skimage.transform.resize and skimage.transform.rescale this function may be applied to N-dimensional images and calculates the local mean of elements in each block of size factors in the input image.
| Parameters : | image : ndarray
factors : array_like
cval : float, optional
|
|---|---|
| Returns : | image : ndarray
|
Estimate 2D geometric transformation parameters.
You can determine the over-, well- and under-determined parameters with the total least-squares method.
Number of source and destination coordinates must match.
| Parameters : | ttype : {‘similarity’, ‘affine’, ‘piecewise-affine’, ‘projective’, ‘polynomial’}
kwargs : array or int
|
|---|---|
| Returns : | tform : GeometricTransform
|
Examples
>>> import numpy as np
>>> from skimage import transform as tf
>>> # estimate transformation parameters
>>> src = np.array([0, 0, 10, 10]).reshape((2, 2))
>>> dst = np.array([12, 14, 1, -20]).reshape((2, 2))
>>> tform = tf.estimate_transform('similarity', src, dst)
>>> tform.inverse(tform(src)) # == src
>>> # warp image using the estimated transformation
>>> from skimage import data
>>> image = data.camera()
>>> warp(image, inverse_map=tform.inverse)
>>> # create transformation with explicit parameters
>>> tform2 = tf.SimilarityTransform(scale=1.1, rotation=1,
... translation=(10, 20))
>>> # unite transformations, applied in order from left to right
>>> tform3 = tform + tform2
>>> tform3(src) # == tform2(tform(src))
Compute the 2-dimensional finite radon transform (FRT) for an n x n integer array.
| Parameters : | a : array_like
|
|---|---|
| Returns : | FRT : 2-D ndarray
|
See also
Notes
The FRT has a unique inverse iff n is prime. [FRT] The idea for this algorithm is due to Vlad Negnevitski.
References
| [FRT] | A. Kingston and I. Svalbe, “Projective transforms on periodic discrete image arrays,” in P. Hawkes (Ed), Advances in Imaging and Electron Physics, 139 (2006) |
Examples
Generate a test image: Use a prime number for the array dimensions
>>> SIZE = 59
>>> img = np.tri(SIZE, dtype=np.int32)
Apply the Finite Radon Transform:
>>> f = frt2(img)
Perform a circular Hough transform.
| Parameters : | img : (M, N) ndarray
radius : ndarray
normalize : boolean, optional (default True)
full_output : boolean, optional (default False)
|
|---|---|
| Returns : | H : 3D ndarray (radius index, (M + 2R, N + 2R) ndarray)
|
Perform an elliptical Hough transform.
| Parameters : | img : (M, N) ndarray
threshold: int, optional (default 4) :
accuracy : double, optional (default 1)
min_size : int, optional (default 4)
max_size : int, optional
|
|---|---|
| Returns : | result : ndarray with fields [(accumulator, y0, x0, a, b, orientation)]
|
Notes
The accuracy must be chosen to produce a peak in the accumulator distribution. In other words, a flat accumulator distribution with low values may be caused by a too low bin size.
References
| [R237] | Xie, Yonghong, and Qiang Ji. “A new efficient ellipse detection method.” Pattern Recognition, 2002. Proceedings. 16th International Conference on. Vol. 2. IEEE, 2002 |
Examples
>>> img = np.zeros((25, 25), dtype=np.uint8)
>>> rr, cc = ellipse_perimeter(10, 10, 6, 8)
>>> img[cc, rr] = 1
>>> result = hough_ellipse(img, threshold=8)
[(10, 10.0, 8.0, 6.0, 0.0, 10.0)]
Perform a straight line Hough transform.
| Parameters : | img : (M, N) ndarray
theta : 1D ndarray of double
|
|---|---|
| Returns : | H : 2-D ndarray of uint64
theta : ndarray
distances : ndarray
|
Notes
The origin is the top left corner of the original image. X and Y axis are horizontal and vertical edges respectively. The distance is the minimal algebraic distance from the origin to the detected line.
Examples
Generate a test image:
>>> img = np.zeros((100, 150), dtype=bool)
>>> img[30, :] = 1
>>> img[:, 65] = 1
>>> img[35:45, 35:50] = 1
>>> for i in range(90):
... img[i, i] = 1
>>> img += np.random.random(img.shape) > 0.95
Apply the Hough transform:
>>> out, angles, d = hough_line(img)
import numpy as np
import matplotlib.pyplot as plt
from skimage.transform import hough_line
from skimage.draw import line
img = np.zeros((100, 150), dtype=bool)
img[30, :] = 1
img[:, 65] = 1
img[35:45, 35:50] = 1
rr, cc = line(60, 130, 80, 10)
img[rr, cc] = 1
img += np.random.random(img.shape) > 0.95
out, angles, d = hough_line(img)
plt.subplot(1, 2, 1)
plt.imshow(img, cmap=plt.cm.gray)
plt.title('Input image')
plt.subplot(1, 2, 2)
plt.imshow(out, cmap=plt.cm.bone,
extent=(np.rad2deg(angles[-1]), np.rad2deg(angles[0]),
d[-1], d[0]))
plt.title('Hough transform')
plt.xlabel('Angle (degree)')
plt.ylabel('Distance (pixel)')
plt.subplots_adjust(wspace=0.4)
plt.show()
(Source code, png, pdf)
Return peaks in hough transform.
Identifies most prominent lines separated by a certain angle and distance in a hough transform. Non-maximum suppression with different sizes is applied separately in the first (distances) and second (angles) dimension of the hough space to identify peaks.
| Parameters : | hspace : (N, M) array
angles : (M,) array
dists : (N, ) array
min_distance : int
min_angle : int
threshold : float
num_peaks : int
|
|---|---|
| Returns : | hspace, angles, dists : tuple of array
|
Examples
>>> import numpy as np
>>> from skimage.transform import hough_line, hough_peaks
>>> from skimage.draw import line
>>> img = np.zeros((15, 15), dtype=np.bool_)
>>> rr, cc = line(0, 0, 14, 14)
>>> img[rr, cc] = 1
>>> rr, cc = line(0, 14, 14, 0)
>>> img[cc, rr] = 1
>>> hspace, angles, dists = hough_line(img)
>>> hspace, angles, dists = hough_peaks(hspace, angles, dists)
>>> angles
array([ 0.74590887, -0.79856126])
>>> dists
array([ 10.74418605, 0.51162791])
Compute the 2-dimensional inverse finite radon transform (iFRT) for an (n+1) x n integer array.
| Parameters : | a : array_like
|
|---|---|
| Returns : | iFRT : 2-D n x n ndarray
|
See also
Notes
The FRT has a unique inverse iff n is prime. See [R238] for an overview. The idea for this algorithm is due to Vlad Negnevitski.
References
| [R238] | (1, 2) A. Kingston and I. Svalbe, “Projective transforms on periodic discrete image arrays,” in P. Hawkes (Ed), Advances in Imaging and Electron Physics, 139 (2006) |
Examples
>>> SIZE = 59
>>> img = np.tri(SIZE, dtype=np.int32)
Apply the Finite Radon Transform:
>>> f = frt2(img)
Apply the Inverse Finite Radon Transform to recover the input
>>> fi = ifrt2(f)
Check that it’s identical to the original
>>> assert len(np.nonzero(img-fi)[0]) == 0
Integral image / summed area table.
The integral image contains the sum of all elements above and to the left of it, i.e.:
| Parameters : | x : ndarray
|
|---|---|
| Returns : | S : ndarray
|
References
| [R239] | F.C. Crow, “Summed-area tables for texture mapping,” ACM SIGGRAPH Computer Graphics, vol. 18, 1984, pp. 207-212. |
Use an integral image to integrate over a given window.
| Parameters : | ii : ndarray
r0, c0 : int or ndarray
r1, c1 : int or ndarray
|
|---|---|
| Returns : | S : scalar or ndarray
|
Inverse radon transform.
Reconstruct an image from the radon transform, using the filtered back projection algorithm.
| Parameters : | radon_image : array_like, dtype=float
theta : array_like, dtype=float, optional
output_size : int
filter : str, optional (default ramp)
interpolation : str, optional (default ‘linear’)
circle : boolean, optional
|
|---|---|
| Returns : | reconstructed : ndarray
|
Notes
It applies the Fourier slice theorem to reconstruct an image by multiplying the frequency domain of the filter with the FFT of the projection data. This algorithm is called filtered back projection.
Inverse radon transform
Reconstruct an image from the radon transform, using a single iteration of the Simultaneous Algebraic Reconstruction Technique (SART) algorithm.
| Parameters : | radon_image : 2D array, dtype=float
theta : 1D array, dtype=float, optional
image : 2D array, dtype=float, optional
projection_shifts : 1D array, dtype=float
clip : length-2 sequence of floats
relaxation : float
|
|---|---|
| Returns : | reconstructed : ndarray
|
Notes
Algebraic Reconstruction Techniques are based on formulating the tomography reconstruction problem as a set of linear equations. Along each ray, the projected value is the sum of all the values of the cross section along the ray. A typical feature of SART (and a few other variants of algebraic techniques) is that it samples the cross section at equidistant points along the ray, using linear interpolation between the pixel values of the cross section. The resulting set of linear equations are then solved using a slightly modified Kaczmarz method.
When using SART, a single iteration is usually sufficient to obtain a good reconstruction. Further iterations will tend to enhance high-frequency information, but will also often increase the noise.
References
| [R240] | AC Kak, M Slaney, “Principles of Computerized Tomographic Imaging”, IEEE Press 1988. |
| [R241] | AH Andersen, AC Kak, “Simultaneous algebraic reconstruction technique (SART): a superior implementation of the ART algorithm”, Ultrasonic Imaging 6 pp 81–94 (1984) |
| [R242] | S Kaczmarz, “Angenäherte auflösung von systemen linearer gleichungen”, Bulletin International de l’Academie Polonaise des Sciences et des Lettres 35 pp 355–357 (1937) |
| [R243] | Kohler, T. “A projection access scheme for iterative reconstruction based on the golden section.” Nuclear Science Symposium Conference Record, 2004 IEEE. Vol. 6. IEEE, 2004. |
| [R244] | Kaczmarz’ method, Wikipedia, http://en.wikipedia.org/wiki/Kaczmarz_method |
Return lines from a progressive probabilistic line Hough transform.
| Parameters : | img : (M, N) ndarray
threshold : int, optional (default 10)
line_length : int, optional (default 50)
line_gap : int, optional, (default 10)
theta : 1D ndarray, dtype=double, optional, default (-pi/2 .. pi/2)
|
|---|---|
| Returns : | lines : list
|
References
| [R245] | C. Galamhos, J. Matas and J. Kittler, “Progressive probabilistic Hough transform for line detection”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999. |
Upsample and then smooth image.
| Parameters : | image : array
upscale : float, optional
sigma : float, optional
order : int, optional
mode : {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional
cval : float, optional
|
|---|---|
| Returns : | out : array
|
References
| [R246] | http://web.mit.edu/persci/people/adelson/pub_pdfs/pyramid83.pdf |
Yield images of the Gaussian pyramid formed by the input image.
Recursively applies the pyramid_reduce function to the image, and yields the downscaled images.
Note that the first image of the pyramid will be the original, unscaled image. The total number of images is max_layer + 1. In case all layers are computed, the last image is either a one-pixel image or the image where the reduction does not change its shape.
| Parameters : | image : array
max_layer : int
downscale : float, optional
sigma : float, optional
order : int, optional
mode : {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional
cval : float, optional
|
|---|---|
| Returns : | pyramid : generator
|
References
| [R247] | http://web.mit.edu/persci/people/adelson/pub_pdfs/pyramid83.pdf |
Yield images of the laplacian pyramid formed by the input image.
Each layer contains the difference between the downsampled and the downsampled, smoothed image:
layer = resize(prev_layer) - smooth(resize(prev_layer))
Note that the first image of the pyramid will be the difference between the original, unscaled image and its smoothed version. The total number of images is max_layer + 1. In case all layers are computed, the last image is either a one-pixel image or the image where the reduction does not change its shape.
| Parameters : | image : array
max_layer : int
downscale : float, optional
sigma : float, optional
order : int, optional
mode : {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional
cval : float, optional
|
|---|---|
| Returns : | pyramid : generator
|
References
| [R248] | http://web.mit.edu/persci/people/adelson/pub_pdfs/pyramid83.pdf |
| [R249] | http://sepwww.stanford.edu/~morgan/texturematch/paper_html/node3.html |
Smooth and then downsample image.
| Parameters : | image : array
downscale : float, optional
sigma : float, optional
order : int, optional
mode : {‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional
cval : float, optional
|
|---|---|
| Returns : | out : array
|
References
| [R250] | http://web.mit.edu/persci/people/adelson/pub_pdfs/pyramid83.pdf |
Calculates the radon transform of an image given specified projection angles.
| Parameters : | image : array_like, dtype=float
theta : array_like, dtype=float, optional (default np.arange(180))
circle : boolean, optional
|
|---|---|
| Returns : | radon_image : ndarray
|
| Raises : | ValueError :
|
Scale image by a certain factor.
Performs interpolation to upscale or down-scale images. For down-sampling N-dimensional images with integer factors by applying the arithmetic sum or mean, see skimage.measure.local_sum and skimage.transform.downscale_local_mean, respectively.
| Parameters : | image : ndarray
scale : {float, tuple of floats}
|
|---|---|
| Returns : | scaled : ndarray
|
Examples
>>> from skimage import data
>>> from skimage.transform import rescale
>>> image = data.camera()
>>> rescale(image, 0.1).shape
(51, 51)
>>> rescale(image, 0.5).shape
(256, 256)
Resize image to match a certain size.
Performs interpolation to up-size or down-size images. For down-sampling N-dimensional images by applying the arithmetic sum or mean, see skimage.measure.local_sum and skimage.transform.downscale_local_mean, respectively.
| Parameters : | image : ndarray
output_shape : tuple or ndarray
|
|---|---|
| Returns : | resized : ndarray
|
Examples
>>> from skimage import data
>>> from skimage.transform import resize
>>> image = data.camera()
>>> resize(image, (100, 100)).shape
(100, 100)
Rotate image by a certain angle around its center.
| Parameters : | image : ndarray
angle : float
resize : bool, optional
|
|---|---|
| Returns : | rotated : ndarray
|
Examples
>>> from skimage import data
>>> from skimage.transform import rotate
>>> image = data.camera()
>>> rotate(image, 2).shape
(512, 512)
>>> rotate(image, 2, resize=True).shape
(530, 530)
>>> rotate(image, 90, resize=True).shape
(512, 512)
Perform a swirl transformation.
| Parameters : | image : ndarray
center : (x,y) tuple or (2,) ndarray, optional
strength : float, optional
radius : float, optional
rotation : float, optional
|
|---|---|
| Returns : | swirled : ndarray
|
Warp an image according to a given coordinate transformation.
| Parameters : | image : 2-D or 3-D array
inverse_map : transformation object, callable xy = f(xy, **kwargs), (3, 3) array
map_args : dict, optional
output_shape : tuple (rows, cols), optional
order : int, optional
mode : string, optional
cval : float, optional
|
|---|
Notes
In case of a SimilarityTransform, AffineTransform and ProjectiveTransform and order in [0, 3] this function uses the underlying transformation matrix to warp the image with a much faster routine.
Examples
>>> from skimage.transform import warp
>>> from skimage import data
>>> image = data.camera()
The following image warps are all equal but differ substantially in execution time.
Use a geometric transform to warp an image (fast):
>>> from skimage.transform import SimilarityTransform
>>> tform = SimilarityTransform(translation=(0, -10))
>>> warp(image, tform)
Shift an image to the right with a callable (slow):
>>> def shift(xy):
... xy[:, 1] -= 10
... return xy
>>> warp(image, shift_right)
Use a transformation matrix to warp an image (fast):
>>> matrix = np.array([[1, 0, 0], [0, 1, -10], [0, 0, 1]])
>>> warp(image, matrix)
>>> from skimage.transform import ProjectiveTransform
>>> warp(image, ProjectiveTransform(matrix=matrix))
You can also use the inverse of a geometric transformation (fast):
>>> warp(image, tform.inverse)
Build the source coordinates for the output pixels of an image warp.
| Parameters : | coord_map : callable like GeometricTransform.inverse
shape : tuple
dtype : np.dtype or string
|
|---|---|
| Returns : | coords : (ndim, rows, cols[, bands]) array of dtype dtype
|
Notes
This is a lower-level routine that produces the source coordinates used by warp().
It is provided separately from warp to give additional flexibility to users who would like, for example, to re-use a particular coordinate mapping, to use specific dtypes at various points along the the image-warping process, or to implement different post-processing logic than warp performs after the call to ndimage.map_coordinates.
Examples
Produce a coordinate map that Shifts an image up and to the right:
>>> from skimage import data
>>> from scipy.ndimage import map_coordinates
>>>
>>> def shift_up10_left20(xy):
... return xy - np.array([-20, 10])[None, :]
>>>
>>> image = data.lena().astype(np.float32)
>>> coords = warp_coords(shift_up10_left20, image.shape)
>>> warped_image = map_coordinates(image, coords)


{% extends "layout_picker.html" %} {% set serviceName = "Park your car or vehicle" %} {% set pageTitle = "Excluded properties" %} {% block content %}
You need a permit to park here because {{postcode}} is in the East Oxford parking zone.
The following properties aren’t eligible for a permit or have a limit on the number of permits allowed. Check your address. If it is not listed, continue with your application.
| House / Flat number | Street name | Details of the exclusion | Parking zone |
| 1 | Circus Street | No permits allowed | EO |
| 3 | Circus Street | Only 1 residential parking permit allowed | EO |
| 12 | Circus Street | Only the ground floor flat is eligible for 1 residential parking permit | EO |


The Tragedy of Julius Caesar
by William Shakespeare
Act 3, Scene 2
Additional Information
- Year Published: 0
- Language: English
- Country of Origin: England
- Source: White, R.G. ed. The Complete Works of William Shakespeare. New York: Sully and Kleinteich.
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 2,433
- Genre: Tragedy
- Keywords: envy, fate, free will, power
- ✎ Cite This
Downloads
SCENE II. The same. The Forum.
[Enter Brutus and Cassius, with a throng of Citizens.]
CITIZENS.
We will be satisfied; let us be satisfied.
BRUTUS.
Then follow me, and give me audience, friends.—
Cassius, go you into the other street
And part the numbers.—
Those that will hear me speak, let ‘em stay here;
Those that will follow Cassius, go with him;
And public reasons shall be rendered
Of Caesar’s death.
FIRST CITIZEN.
I will hear Brutus speak.
SECOND CITIZEN.
I will hear Cassius; and compare their reasons,
When severally we hear them rendered.
[Exit Cassius, with some of the Citizens. Brutus goes into the
rostrum.]
THIRD CITIZEN.
The noble Brutus is ascended: silence!
BRUTUS.
Be patient till the last.
Romans, countrymen, and lovers! Hear me for my cause; and be
silent, that you may hear: believe me for mine honour, and have
respect to mine honor, that you may believe: censure me in your
wisdom; and awake your senses, that you may the better judge.
If there be any in this assembly, any dear friend of Caesar’s, to
him I say that Brutus’ love to Caesar was no less than his. If
then that friend demand why Brutus rose against Caesar, this is
my answer,—Not that I loved Caesar less, but that I loved Rome
more.  As Caesar loved me, I
weep for him; as he was fortunate, I rejoice at it; as he was
valiant, I honour him; but, as he was ambitious, I slew him.
There is tears for his love; joy for his fortune; honour for his
valour; and death for his ambition. Who is here so base that
would be a bondman? If any, speak; for him have I offended. Who
is here so rude that would not be a Roman? If any, speak; for him
have I offended. Who is here so vile that will not love his
country? If any, speak; for him have I offended. I pause for a
reply.
CITIZENS.
None, Brutus, none.
BRUTUS.
Then none have I offended. I have done no more to Caesar
than you shall do to Brutus. The question of his death is
enroll’d in the Capitol, his glory not extenuated, wherein he
was worthy;, nor his offenses enforced, for which he suffered
death.
[Enter Antony and others, with Caesar’s body.]
Here comes his body, mourned by Mark Antony, who, though he had
no hand in his death, shall receive the benefit of his dying, a
place in the commonwealth; as which of you shall not? With this
I depart— that, as I slew my best lover for the good of Rome, I
have the same dagger for myself, when it shall please my country
to need my death.
CITIZENS.
Live, Brutus! live, live!
FIRST CITIZEN.
Bring him with triumph home unto his house.
SECOND CITIZEN.
Give him a statue with his ancestors.
THIRD CITIZEN.
Let him be Caesar.
FOURTH CITIZEN.
Caesar’s better parts
Shall be crown’d in Brutus.
FIRST CITIZEN.
We’ll bring him to his house with shouts and clamours.
BRUTUS.
My countrymen,—
SECOND CITIZEN.
Peace! silence! Brutus speaks.
FIRST CITIZEN.
Peace, ho!
BRUTUS.

I do entreat you, not a man depart,
Save I alone, till Antony have spoke.
[Exit.]
FIRST CITIZEN.
Stay, ho! and let us hear Mark Antony.
THIRD CITIZEN.

ANTONY.
For Brutus’ sake, I am beholding to you.
[Goes up.]
FOURTH CITIZEN.
What does he say of Brutus?
THIRD CITIZEN.
He says, for Brutus’ sake,
He finds himself beholding to us all.
FOURTH CITIZEN.
‘Twere best he speak no harm of Brutus here.
FIRST CITIZEN.
This Caesar was a tyrant.
THIRD CITIZEN.
Nay, that’s certain:
We are blest that Rome is rid of him.
SECOND CITIZEN.
Peace! let us hear what Antony can say.
ANTONY.
You gentle Romans,—
CITIZENS.
Peace, ho! let us hear him.
ANTONY.
Friends, Romans, countrymen, lend me your ears;
I come to bury Caesar, not to praise him.
The evil that men do lives after them;
The good is oft interred with their bones:
So let it be with Caesar. The noble Brutus
Hath told you Caesar was ambitious:
If it were so, it was a grievous fault;
And grievously hath Caesar answer’d it.
Here, under leave of Brutus and the rest,—
For Brutus is an honourable man;
So are they all, all honorable men,—
Come I to speak in Caesar’s funeral.
He was my friend, faithful and just to me:
But Brutus says he was ambitious;
And Brutus is an honourable man.
He hath brought many captives home to Rome,
Whose ransoms did the general coffers fill:
Did this in Caesar seem ambitious?
When that the poor have cried, Caesar hath wept:
Ambition should be made of sterner stuff:
Yet Brutus says he was ambitious;
And Brutus is an honourable man.
You all did see that on the Lupercal
I thrice presented him a kingly crown,
Which he did thrice refuse: was this ambition?
Yet Brutus says he was ambitious;
And, sure, he is an honourable man.
I speak not to disprove what Brutus spoke,
But here I am to speak what I do know.
You all did love him once,—not without cause:
What cause withholds you, then, to mourn for him?—
O judgment, thou art fled to brutish beasts,
And men have lost their reason!—Bear with me;
My heart is in the coffin there with Caesar,
And I must pause till it come back to me.
FIRST CITIZEN.
Methinks there is much reason in his sayings.
SECOND CITIZEN.
If thou consider rightly of the matter,
Caesar has had great wrong.
THIRD CITIZEN.
Has he not, masters?
I fear there will a worse come in his place.
FOURTH CITIZEN.
Mark’d ye his words? He would not take the crown;
Therefore ‘tis certain he was not ambitious.
FIRST CITIZEN.
If it be found so, some will dear abide it.
SECOND CITIZEN.

THIRD CITIZEN.
There’s not a nobler man in Rome than Antony.
FOURTH CITIZEN.
Now mark him; he begins again to speak.
ANTONY.

O masters, if I were disposed to stir
Your hearts and minds to mutiny and rage,
I should do Brutus wrong and Cassius wrong,
Who, you all know, are honourable men:
I will not do them wrong; I rather choose
To wrong the dead, to wrong myself, and you,
Than I will wrong such honourable men.
But here’s a parchment with the seal of Caesar,—
I found it in his closet,—’tis his will:
Let but the commons hear this testament,—
Which, pardon me, I do not mean to read,—
And they would go and kiss dead Caesar’s wounds,
And dip their napkins in his sacred blood;
Yea, beg a hair of him for memory,
And, dying, mention it within their wills,
Bequeathing it as a rich legacy
Unto their issue.
FOURTH CITIZEN.
We’ll hear the will: read it, Mark Antony.
CITIZENS.
The will, the will! We will hear Caesar’s will.
ANTONY.
Have patience, gentle friends, I must not read it;
It is not meet you know how Caesar loved you.

‘Tis good you know not that you are his heirs;
For if you should, O, what would come of it!
FOURTH CITIZEN.
Read the will! we’ll hear it, Antony;
You shall read us the will,—Caesar’s will!
ANTONY.
Will you be patient? will you stay awhile?
I have o’ershot myself to tell you of it:
I fear I wrong the honorable men
Whose daggers have stabb’d Caesar; I do fear it.
FOURTH CITIZEN.
They were traitors: honourable men!
CITIZENS.
The will! The testament!
SECOND CITIZEN.
They were villains, murderers. The will! read the will!
ANTONY.
You will compel me, then, to read the will?
Then make a ring about the corpse of Caesar,
And let me show you him that made the will.
Shall I descend? and will you give me leave?
CITIZENS.
Come down.
SECOND CITIZEN.
Descend.
[He comes down.]
THIRD CITIZEN.
You shall have leave.
FOURTH CITIZEN.
A ring! stand round.
FIRST CITIZEN.
Stand from the hearse, stand from the body.
SECOND CITIZEN.
Room for Antony!—most noble Antony!
ANTONY.

CITIZENS.
Stand back; room! bear back.
ANTONY.
If you have tears, prepare to shed them now.
You all do know this mantle: I remember
The first time ever Caesar put it on;
‘Twas on a Summer’s evening, in his tent,
That day he overcame the Nervii.
Look, in this place ran Cassius’ dagger through:
See what a rent the envious Casca made:
Through this the well-beloved Brutus stabb’d;
And as he pluck’d his cursed steel away,
Mark how the blood of Caesar follow’d it,—
As rushing out of doors, to be resolved
If Brutus so unkindly knock’d, or no;
For Brutus, as you know, was Caesar’s angel:
Judge, O you gods, how dearly Caesar loved him!
This was the most unkindest cut of all;
For when the noble Caesar saw him stab,
Ingratitude, more strong than traitors’ arms,
Quite vanquish’d him: then burst his mighty heart;
And, in his mantle muffling up his face,
Even at the base of Pompey’s statua,
Which all the while ran blood, great Caesar fell.
O, what a fall was there, my countrymen!

O, now you weep; and, I perceive, you feel
The dint of pity: these are gracious drops.
Kind souls, what, weep you when you but behold
Our Caesar’s vesture wounded? Look you here,
Here is himself, marr’d, as you see, with traitors.
FIRST CITIZEN.
O piteous spectacle!
SECOND CITIZEN.
O noble Caesar!
THIRD CITIZEN.
O woeful day!
FOURTH CITIZEN.
O traitors, villains!
FIRST CITIZEN.

SECOND CITIZEN.
We will be revenged.
CITIZENS.
Revenge,—about,—seek,—burn,—fire,—kill,—slay,—let not a
traitor live!
ANTONY.
Stay, countrymen.
FIRST CITIZEN.
Peace there! hear the noble Antony.
SECOND CITIZEN.
We’ll hear him, we’ll follow him, we’ll die with him.
ANTONY.
Good friends, sweet friends, let me not stir you up
To such a sudden flood of mutiny.
They that have done this deed are honourable:
What private griefs they have, alas, I know not,
That made them do it; they’re wise and honourable,
And will, no doubt, with reasons answer you.
I come not, friends, to steal away your hearts:
I am no orator, as Brutus is;
But, as you know me all, a plain blunt man,
That love my friend; and that they know full well
That gave me public leave to speak of him:
For I have neither wit, nor words, nor worth,
Action, nor utterance, nor the power of speech,
To stir men’s blood: I only speak right on;
I tell you that which you yourselves do know;
Show you sweet Caesar’s wounds, poor dumb mouths,
And bid them speak for me: but were I Brutus,
And Brutus Antony, there were an Antony
Would ruffle up your spirits, and put a tongue
In every wound of Caesar, that should move
The stones of Rome to rise and mutiny.
CITIZENS.
We’ll mutiny.
FIRST CITIZEN.
We’ll burn the house of Brutus.
THIRD CITIZEN.
Away, then! come, seek the conspirators.
ANTONY.
Yet hear me, countrymen; yet hear me speak.
CITIZENS.
Peace, ho! hear Antony; most noble Antony!
ANTONY.
Why, friends, you go to do you know not what.
Wherein hath Caesar thus deserved your loves?

CITIZENS.
Most true; the will!—let’s stay, and hear the will.
ANTONY.
Here is the will, and under Caesar’s seal.
To every Roman citizen he gives,
To every several man, seventy-five drachmas.
SECOND CITIZEN.
Most noble Caesar!—we’ll revenge his death.
THIRD CITIZEN.
O, royal Caesar!
ANTONY.
Hear me with patience.
CITIZENS.
Peace, ho!
ANTONY.
Moreover, he hath left you all his walks,
His private arbors, and new-planted orchards,
On this side Tiber: he hath left them you,
And to your heirs forever; common pleasures,
To walk abroad, and recreate yourselves.
Here was a Caesar! when comes such another?
FIRST CITIZEN.
Never, never.—Come, away, away!
We’ll burn his body in the holy place,
And with the brands fire the traitors’ houses.
Take up the body.
SECOND CITIZEN.
Go, fetch fire.
THIRD CITIZEN.
Pluck down benches.
FOURTH CITIZEN.
Pluck down forms, windows, any thing.
[Exeunt Citizens, with the body.]
ANTONY.
Now let it work.—Mischief, thou art afoot,
Take thou what course thou wilt!—
[Enter a Servant.]
How now, fellow?
SERVANT.
Sir, Octavius is already come to Rome.
ANTONY.
Where is he?
SERVANT.
He and Lepidus are at Caesar’s house.
ANTONY.
And thither will I straight to visit him:
He comes upon a wish. Fortune is merry,
And in this mood will give us any thing.
SERVANT.
I heard ‘em say Brutus and Cassius
Are rid like madmen through the gates of Rome.
ANTONY.
Belike they had some notice of the people,
How I had moved them. Bring me to Octavius.
[Exeunt.]


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are ghosted
hover over an Object to unghost it
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UD for Armenian (Eastern)
Tokenization and Word Segmentation
- Words are generally delimited by whitespace or punctuation. Description of exceptions follows.
- According to typographical rules, many punctuation marks are attached to a neighboring word. We always tokenize them as separate tokens (words); this holds even for hyphenated compounds such as անգլո-ամերիկյան “anglo-american” (three tokens) and for abbreviations such as թ. “year” (two tokens).
- Numerical expressions (including dates, expressions with hyphen and Armenian endings) are treated as single words and may contain punctuation or whitespace: 1.1.1970, 1/1/1970, 11:00, 2 000, 10-15, 2,15, 1-ին “1st”, 1700-ամյա “1700-year-old”, ՆԱՏՕ-ական “belonging-to-NATO”.
- Words, containing “infixed” punctuation (e.g. question, exclamation, emphasis and Armenian abbreviation marks), as in ինչո՞ւ = ինչու + ՞ “why?”, are treated as multi-word tokens and segmented to individual syntactic words. For more details, see tokenization.
Morphology
Tags
This is an overview only. For more detailed discussion and examples, see the list of Armenian POS tags and Armenian features.
- Armenian uses all 17 universal POS categories, including particles (PART). The exact list of particles is in the stage of being worked out.
- The tag DET is used for articles and pronominal words used with a determiner function, including possessives (the traditional grammar does not define determiners, but distinguishes pronominal modifiers). The tag PRON is reserved for pronouns occurring as the head of a noun phrase. Pronominal quantifiers (which the traditional grammar includes in pronouns) are DET as well.
- Eastern Armenian has one auxiliary verb (AUX), եմ (“to be”), but the lemma լինել is also possible.
This is in fact just an aspectual variant of եմ, but this is a separate lemma because
the morphological process that relates it to եմ is considered derivational. There is another auxiliary տալ (“cause/make someone to perform action”) for periphrastic causatives.
Auxiliaries are all verbal in Eastern Armenian and can be grouped into three types:- The copula with non-verbal predicates.
- Periphrastic present tense (present form of եմ + resultative participle of the main verb).
- Periphrastic past tense (present form of եմ + perfect of the main verb; imperfect form of եմ + imperfective, perfect, future-I and resultative participles of the main verb).
- Periphrastic future tense (present form of եմ + future-I participle of the main verb).
- Periphrastic negated conditional (negated present or imperfect form of եմ + connegative form of the main verb).
- Periphrastic “secondary compound tenses” (any form of լինել, including periphrastic forms, + processual, resultative and future-I participles of the main verb).
- Periphrastic causative (any form of տալ, including periphrastic forms, + infinitve of the main verb).
- In other words, եմ, լինել and տալ are the only lemmas that occur with the AUX tag (Exception: finite existentials կամ and ունեմ in combination with resultative participle). Note, that եմ and լինել may also occur as normal VERB if they are used in purely existential sentences (i.e. they don’t indicate location because if they do, then եմ and լինել will be treated as copula).
- Verbs with modal meaning are not considered to be auxiliaries in Armenian.
- There are five main (de)verbal forms, distinguished by the UPOS tag and the value of the VerbForm feature:
- Though the resultative, subject and future-I participles can be used adjectivally and can be negated they are generally tagged VERB. The only exception is future-II participles, they are tagged ADJ.
Nominal Features
- Nominal words (NOUN, PROPN and some of PRON) have an inherent Animacy feature with one of three values:
Hum
,Nhum
. Note that this may be changed in future. Nominal words could be treated as having inherentHum
,Nhum
and further would be subclassified by the layeredAnimacy[gram]
valuesAnim
vs.Inan
. - The two main values of the Number feature are
Sing
andPlur
. The following parts of speech inflect for number: NOUN, PROPN, PRON, VERB, AUX (finite).- Selected nouns are plurale tantum (
Ptan
) or singulare tantum (Coll
). These two values are lexical, and cannot be used with the agreeing verbs. They also never occur with pronouns.Coll
occurs with gerundives. - There is a language-specific value
Assoc
(associative plural). This is also lexical and occurs withNOUN
andPROPN
. Some of pronouns (մերոնք, ձերոնք, իմոնք, քոնոնք) are also associative.
- Selected nouns are plurale tantum (
- Case has 6 possible values:
Nom
,Gen
,Dat
,Abl
,Ins
,Loc
. It occurs with the nominal words, i.e., NOUN, PROPN, PRON, DET, and gerundives. Note, thatGen
occurs only with pronouns and determiners.- The
Case
feature also occurs with some of adpositions, subclassified as “localizers” (ADP). It is an inflectional feature here.
- The
- The two main values of the Definite feature are
Def
andInd
. The following parts of speech inflect for definitness: NOUN, PROPN, PRON. With gerundives, resultative and subject participles the feature sometimes encodes the lexical person of the possessor, although they can be almost interpreted as the 3rd person. We mark them asDef
(see the layered features below). - Degree applies to adjectives (ADJ) and some adverbs (ADV) and has one of four possible values:
Pos
,Cmp
,Sup
,Abs
.
Verbal Features
- Verbs have a lexical Subcat, either intransitive (
Intr
) or transitive (Tran
). - Verbs have one of six values of Aspect:
Dur
,Imp
,Iter
,Perf
,Prog
orProsp
.- Note, that in Armenian iterative is considered as a lexical feature of verbs, thus they have morphologically related not iterative counterparts, but it is not a regular system and the two verbs are represented by different lemmas. We mark them as biaspectual.
- The
Aspect
feature should be also used with the corresponding deverbatives, if they have theVerbForm
feature.
- Finite verbs always have one of five values of Mood:
Cnd
,Imp
,Ind
,Nec
ofSub
.- The necessitative mood is only used with necessitative particle պիտի or the impersonal predicative պետք է. The subjuncitve finite form of the main verb, that is needed to form a periphrastic necessitative, is not marked with this feature.
- The negated conditional mood is only used with indicative auxiliaries (եմ, էի). The connegative of the main verb, that is needed to form a periphrastic negated conditional, is also marked with this feature.
- Verbs in indicative mood always have one of three values of Tense: mainly
Past
and for auxilaries and some content verbsPres
orImp
.- Imperative and necessitative forms do not have the
Tense
feature (note that imperfect and present necessitatives are distinguished analytically). - Subjunctve and conditional forms have one of the
Tense=Imp
orTense=Pres
features, which are formally imperfect or present, but semantically future. - There are five values of the Voice feature:
Act
,Cau
,Mid
,Pass
,Rcp
. Active and causative verbs haveSubcate=Tran
, the other threeSubcate=Intr
.
- Imperative and necessitative forms do not have the
Polarity
- Polarity has two values,
Pos
andNeg
, and applies primarily to verbs (VERB, AUX) that can be negated using the bound morpheme չ-.- Occasionally ոչ occurs as an independent negation particle (PART) and is marked with
Polarity=Neg
. ThePolarity=Neg
feature is also used with necessitative mood particles (չ)պիտի, (չ)պետք է . - Negating nouns are usually limited to those derived from verbs (չունեցողի, չգրվածները).
- The
Polarity
feature is not used with pronouns and determiners, although there is a subset of negative pronouns and determiners. ThePronType=Neg
feature is used there instead. - The
Polarity=Neg
feature is not used with negated conditional mood, theConnegative=Yes
feature is used there instead.
- Occasionally ոչ occurs as an independent negation particle (PART) and is marked with
Pronouns, Determiners, Quantifiers
- PronType is used with pronouns (PRON), determiners (DET) and adverbs (ADV).
- NumType is used with numerals (NUM), adjectives (ADJ) and adverbs (ADV).
- The Poss feature marks possessive personal determiners (e.g. իմ “my”), possessive interrogative, relative determiners (e.g. ում, որի “whose”), possessive nouns (e.g. հայրիկինը “father’s”) and possessive adjectives (e.g. հայոց “armenian, armenians’, refer to armenians”).
- The Reflex feature marks reflexive pronouns (ինձ, քեզ, իրեն, մեզ, ձեզ, իրենց) and determiners (իր, իրենց).
In Armenian it is always used together with
PronType=Emp
orPronType=Prs
. - Person is a lexical feature of personal pronouns (PRON) and has three values,
1
,2
and3
. With personal possessive determiners (DET), the feature actually encodes the person of the possessor. Person is not marked on other types of pronouns and on nouns, although they can almost always be interpreted as the 3rd person. - The Polite feature distinguishes informal second-person pronouns (դու, դուք,
Polite=Infm
) from the formal Դուք (Polite=Form
). The formal pronoun is phonologically equivalent in all its case forms to the second-person plural դուք but it is distinguished in orthography by the capital letter Դ. We tag it as second person (because that is its meaning) and we tag also its number (it is used for singular addressees) despite the fact that it combines with second-person plural verbs. The parser must learn thatNumber=Sing|Person=2|Polite=Form
subject attaches toNumber=Plur|Person=2
verbs, whileNumber=Sing|Person=2|Polite=Infm
subject attaches toNumber=Sing|Person=2
verbs. - There are three layered features, Person[psor], Number[psor] and Deixis[psor]. They appear with nouns, gerundives, certain pronouns and adpositions and encode the lexical person/number of the possessor or the position of an entity relative to either the speaker or the hearer. The extra layer is needed to distinguish these lexical features from the inflectional person and number that mark agreement with the modified (possessed) noun.
Other Features
- Besides the layered features listed above, there are several other language-specific features:
- The following universal features are not used in Armenian: Gender, Evident.
Syntax
This is an overview only. For more detailed discussion and examples, see the list of Armenian relations, as well as Armenian-specific examples scattered across the documentation of constructions.
Core Arguments, Oblique Arguments and Adjuncts
- Nominal subject (nsubj) is a noun phrase in the nominative case, without preposition.
- If the noun is quantified in partitive meaning, it may be in the ablative: Հնչեցին Կոմիտասի երգերից “Sounded from songs of Komitas.”
- An infinitive verb may serve as the subject and is labeled as clausal subject, csubj.
On the other hand, verbal nouns or gerundives as subjects are just
nsubj
. - A finite subordinate clause may serve as the subject and is labeled
csubj
.
- Objects defined in the Armenain grammar may be bare noun phrases in nominative or dative (as direct objects or “voice objects”) and in dative, ablative, instrumental or locative, or adpositional phrases mainly in dative (as indirect / “objects of nature” or adpositional objects).
For the purpose of UD the objects are divided to core objects, labeled obj or iobj.
Oblique objects are labeled obl.
- Bare nominative and dative objects are considered core. Verbs that subcategorize for a single dative object are also considered core. Example: մոտենում էր քաղաքին “He was approaching the city.”
- All adpositional objects are considered oblique.
- Nominative objects of some verbs alternate with finite clausal complements, which are labeled ccomp.
- If a verb subcategorizes for the infinitive (e.g. modal verbs or verbs of control), the infinitival complement is labeled xcomp.
- If a verb subcategorizes for two core objects, one of them nominative (or
ccomp
) and the other non-nominative (mainly dative), then the non-nominative object is labeled iobj. Core nominal objects in other situations are labeled just obj.
- Adjuncts are usually adpositional phrases, but they can be bare noun phrases as well (following the Armenian grammar, adverbial modifiers are realized as noun phrases). They are labeled obl:
- Temporal or locational modifiers realized as noun phrases: կեսգիշերին եկավ “He came at midnight.”
- Dative noun phrases with benefactive or possessive role (i.e. if the verb does not subcategorize for a single dative object and if it is not a verb of giving (or similar), where the dative could be interpreted as the recipient. Example: նրան սուրճ եփեց “he made (for) him coffee.”
- Instrumental or directional noun phrases expressing the way or means with which something was done or direction from some point. Example: հաճույքով լսում էր “He was listening with pleasure.”
- All adpositional phrases (i.e., their role and form is not defined lexically by the predicate) are adjuncts.
- In passive clauses (both reflexive and reciprocal), the subject is labeled with nsubj:pass or csubj:pass, respectively.
- In causative clauses (both bare and periphrastic causative), the subject is labeled with nsubj:caus.
- The auxiliary verb in periphrastic causative is labeled aux:caus.
- The demoted agent of the action (if present) has the form of a bare dative and is labeled [iobj:agent].
Non-verbal Clauses
- The copula verb եմ (be) is used in equational, attributional, locative, possessive and benefactory nonverbal clauses.
- Purely existential clauses (without indicating location) normally use different lemmas, լինել or կամ, and they are treated as the head of the clause and tagged VERB.
Relations Overview
- The following relation subtypes are used in Armenian:
- acl:relcl for relative clauses
- advcl:relcl for relative clause modifiers of clauses
- advmod:emph for adverbs or particles that modify noun phrases and emphasize or negate them
- aux:caus for causative auxiliaries
- aux:ех for existentials as auxiliary
- case:loc for postpositional localizers
- compound:lvc for light compound verbs
- compound:redup for reduplicated compounds
- compound:svc for serial compound verbs
- csubj:pass for clausal subjects of passive verbs
- det:poss for possessive determiners
- iobj:agent for agentive indirect objects of causative verbs
- nmod:npmod for noun phrases
- nmod:poss for possessive modifiers
- nsubj:caus for nominal subjects of causative verbs
- nsubj:pass for nominal subjects of passive verbs
- obl:agent for agents of passive verbs
- The following relation types are not used in Armenian at all: clf
Treebanks
There are two Eastern Armenian UD treebanks and one treebank in Western Armenian:


http://www.speakers-podium.com/susangranger.
Susan Granger's review of "THE HOUSE ON HAUNTED HILL" (Warner Bros.)
What's scary about this picture is how many people went to see it last weekend, proving two things: 1) you can't beat good timing, and 2) when you have a creepy dud on your hands, don't let people know it's coming - that's why critics were not permitted to view this film before it opened. Oscar winner Geoffrey Rush (Shine) plays a nasty amusement-park tycoon who invites four supposed strangers to help celebrate his wife's birthday in the notorious Vanacutt Psychiatric Institute for the Criminally Insane, promising "terror, humiliation, perhaps even murder." He obviously detest her as much as she loathes him. Rush is made-up to resemble Vincent Price, the star of William Castle's campy 1958 version, including the pencil-thin mustache. His character is even named Price, in case you missed the point. Anyway, this eccentric host offers each of his jittery guests $1,000,000 at daybreak - if they can survive the night. Directed by William Malone from a screenplay by Dick Beebe, based on a story by Robb White, there's little horror and zero originality. The villainous Vanacutt was a demented doctor who performed hideous experimental surgery without anesthesia until, once night, the inmates rebelled, igniting a fire that destroyed the place - so we're told. Of course, the ghosts still run rampant, causing death and destruction. Famke Janssen, Taye Diggs, Ali Larter, Brigitte Wilson, Peter Gallagher, and Chris Kattan look as though they fervently wished they were elsewhere. Heh! Heh! Heh! So did I. On the Granger Movie Gauge of 1 to 10, The House on Haunted Hill is a ghoulish, wretched 1. But the only thing frightening about it is the waste of talent. If you thought The Blair Witch Project was ridiculous, this is far worse.
The review above was posted to the
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Related links: index of all rec.arts.movies.reviews reviews


https://github.com/chrismiles/CMTraerPhysics
CMTraerPhysics is a port of the Traer v3.0 physics engine to Objective-C/Cocoa by Chris Miles.
The Traer physics engine was originally created by Jeffrey Traer Bernstein http://murderandcreate.com/physics/
Parts of this project were ported from traerAS3 by Arnaud Icard https://github.com/sqrtof5/traerAS3
Demos are based on example code by Arnaud Icard.
CMTraerPhysics is open source, released under an MIT license.


--- title: "v1.21.0 - 2021-06-11" linkTitle: "v1.21.0 - 2021-06-11" weight: -97 ---
# of Merged PRs reviewed
# of words written in merged PRs
# of Review Comments in merged PRs
# of Pull Requests Merged
Lines of code (delta)
Average PR size (added+changed)
# of comments
# of words (excludes authored)
# of issues closed (excludes authored)


Sentinel floods.
Fire and Emergency Service Agencies requiring access to the registered layers should contact Geoscience Australia directly by email for access details.


A quick description on how to use this (and any other) resource packs in Minecraft Java Edition.
Resource packs enable you to change the look and feel of your Minecraft game. Resource packs can change textures, models, languages, and even sounds. Unlike mods, resource packs are supported in the game by Default, and does not require any changes to the base game.
Before you can install a resource pack, you need to download one. There are several websites that allow you to do just that, including this one! To customize your own resource pack, check out the 'Build a Pack' tab. To download a pre-made one, check out the 'Other Packs' tab.
You can also find resource packs made by other creators at these websites:
Picking a resource pack is probably the hardest part. All you have to do now is Download it! Once the pack has been downloaded, locate the folder or .zip file on your system. This is the file you will need to add to your game to apply the changes.
Now that you have a Resource Pack file, you need to add it to your game. To start, log in on the launcher and start an instance of Minecraft. At the home screen, click the 'Options' button at the bottom left.
From here, you should see a 'Resource Packs' button again at the bottom left. Click it to open the Resource Pack Selection screen.
Now, Click on the 'Open Pack Folder' button. You will be redirected to a folder in your computer's file browsing system. This is the folder where you can place your Downloaded resource packs from Step 1.
Now that the Resource pack is in the folder, you can apply it in the Resource Pack Selector. You should see the newly added pack at the left half of the Resource Pack Selector. If you can't see the pack, reload the page by going pack to the menu and returning.
To select the pack, click on the rightward arrow that appears when hovering over it. Now, your pack should be applied. Join a world and see the changes!
Minecraft also has the ability to support multiple resource packs simultaneously. Actually, this already happens even when you only have one resource pack selected! As you may have noticed, when a resource pack is applied, it shows up at the top of the "Selected" list at the right, above 'Default.' This is because Minecraft is layering the installed pack on top of Default minecraft resources. This is to ensure that if the added pack is missing elements, the game can still fall back on default resources.
We can leverage this to use multiple resource packs at once, and have features from both appear in the game. Say for example, we have 'Pack 1' and 'Pack 2'.
Say Pack 1 changes all game resources, and you want to use it in your game.
Say Pack 2 only edits one texture, for Cobblestone, which you really like.
With layering, we can have Pack 1's overall greatness and also have Pack 2's
better cobblestone, at the same time. To do this, we select both Pack 1 and Pack 2.
Given this order, Pack 1's changes to all resources will override Pack 2's edit. This is because both packs edit Cobblestone, but Pack 1 is on top, and thus takes priority. We can change this by moving it down the list. Hover over the pack and click the down arrow that appears.
Now, Pack 1 is below Pack 2, meaning Pack 2's changes are prioritized. In game, we can see Pack 2's new Cobblestone, as well as all of Pack 1's other textures.
You can change this order for any combination of packs to see what you want rendered in game.


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I've worked in the industry long enough to have gotten my hands dirty pulling cables and building racks, cross-connecting twisted-pair copper to telco switches and troubleshooting ip configurations. I was swapping hard drives when a 10 MB drive weighed more than a brick and a 9600 baud modem was considered sweet. I know what it's like to lead a team of skilled professionals even if I don't possess their skills. I've worked under pressure in a startup atmosphere and have learned to be nimble and resourceful. I have often had to learn by brute force since there were no other resources to draw from and have become both patient and anxious in the process.
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NYC HRA manages public assistance for residents of New York City. This project automates client intake and prepares the disbursement of benefits. It is deployed to 1500 employees across 30 centers serving a population of 14,000+ clients.
There's more, but you don't really want to read about summer on the pig farm, how to use a framing square or how to pack a parachute so it opens every time...


Florida judge draws town’s wrath over school violence case
by BOBBY CAINA CALVANMACCLENNY, Fla. (AP) - Residents in a rural northern Florida community are fuming over a judge’s recent decision to dismiss a case against a 15-year-old who shared a six-page “School Shooting Plan” with a classmate.
Anxieties spread across Baker County when news spread in September about a potential massacre.
After being alerted by the student’s classmate, authorities say they took action to avert another Parkland school shooting, which killed 17 people last year.
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But unease resurfaced weeks later when the judge dismissed second-degree felony charges against the boy and released him.
While some residents are expressing compassion for the teenager, they are reserving less mercy for the judge. Residents say the judge failed their community and the boy she spared by not requiring the mental health services he needs.
They now want the judge removed.
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About Me
Eliza Regas is a freelance web developer who works mainly with musicians, artists, entrepreneurs, and non-profits to create eye-catching, expressive websites for individuals, groups, and organizations.
Eliza understands that your Website is your first impression, and that first impressions are everything! She is dedicated to building a site for you that will meet all of your expectations, so that your target audience will get an immediate feel for your unique vision.
Eliza got her Master’s Degree in Fine Arts from Boston University, and has been employed full time as a performing artist, as well as an educator. Recently, she has shifted gears to pursue her hobby of web development and graphic design, and make it her career. She has a tremendous amount of energy and creativity to lend to your project, and would love to help you further your goals via your internet presence!


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OBJECTIVE
Obtain an entry level position as a junior web developer where I can apply my education, skills, and work experience to build a career in Information Technology.
Wintec - Bachelor of Information Technology (2012 - 2015)
Completed a three year degree that focused on basic programming, software development methodologies, web development, networking, and project management.
Udacity - Nanodegree - Full Stack WebDeveloper (2015 - Present)
Learn to build complex server-side web applications that make use of powerful relational databases to persistently store data.
Programming Languages - PHP, JavaScript, C#, Java, Python, CSS, SQL, C, C++
Databases - MySQL, Oracle, PostgreSQL
CMS/Frameworks - SilverStripe, jQuery, Bootstrap
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Methodologies - Scrum, Waterfall
Other Software - Vagrant, VirtualBox, Microsoft Office, Salesforce, MailChimp
Non-technical Skills - Sales, Marketing, Customer Service, Attention to Detail, Entrepreneurship, Social Media Marketing
Strengths - Resourceful, Team Player, Hard Working, Loyal, Dedicated, Reliable, Friendly, Approachable, Willingness to Learn, Disciplined, Motivated
Spoken Languages - English, Filipino
Sales Consultant (Part time) - May 2015 - Present
USANA Health Sciences
Volunteer Workforce Catering Assistant - June 2015
FIFA U-20 World Cup New Zealand 2015
Junior IT Administrator & Developer (Internship) - March 2014 - November 2014
BIOZONE International Ltd , Hamilton, New Zealand
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Lemongrass House Thai Restaurant, Hamilton, New Zealand