Output the 'fragments' The fragments are a list of strings, characters, numbers, thunks, #f, #t -- and other fragments. The function traverses the tree depth-first, writes out strings and characters, executes thunks, and ignores #f and '(). The function returns #t if anything was written at all; otherwise the result is #f If #t occurs among the fragments, it is not written out but causes the result of SRV:send-reply to be #t
procedure: pre-post-order TREE BINDINGS Traversal of an SXML tree or a grove: a <Node> or a <Nodelist> A <Node> and a <Nodelist> are mutually-recursive datatypes that underlie the SXML tree: <Node> ::= (name . <Nodelist>) | "text string" An (ordered) set of nodes is just a list of the constituent nodes: <Nodelist> ::= (<Node> ...) Nodelists, and Nodes other than text strings are both lists. A <Nodelist> however is either an empty list, or a list whose head is not a symbol (an atom in general). A symbol at the head of a node is either an XML name (in which case it's a tag of an XML element), or an administrative name such as '@'. See SXPath.scm and SSAX.scm for more information on SXML. Pre-Post-order traversal of a tree and creation of a new tree: pre-post-order:: <tree> x <bindings> -> <new-tree> where <bindings> ::= (<binding> ...) <binding> ::= (<trigger-symbol> *preorder* . <handler>) | (<trigger-symbol> *macro* . <handler>) | (<trigger-symbol> <new-bindings> . <handler>) | (<trigger-symbol> . <handler>) <trigger-symbol> ::= XMLname | *text* | *default* <handler> :: <trigger-symbol> x [<tree>] -> <new-tree> The pre-post-order function visits the nodes and nodelists pre-post-order (depth-first). For each <Node> of the form (name <Node> ...) it looks up an association with the given 'name' among its <bindings>. If failed, pre-post-order tries to locate a *default* binding. It's an error if the latter attempt fails as well. Having found a binding, the pre-post-order function first checks to see if the binding is of the form (<trigger-symbol> *preorder* . <handler>) If it is, the handler is 'applied' to the current node. Otherwise, the pre-post-order function first calls itself recursively for each child of the current node, with <new-bindings> prepended to the <bindings> in effect. The result of these calls is passed to the <handler> (along with the head of the current <Node>). To be more precise, the handler is _applied_ to the head of the current node and its processed children. The result of the handler, which should also be a <tree>, replaces the current <Node>. If the current <Node> is a text string or other atom, a special binding with a symbol *text* is looked up. A binding can also be of a form (<trigger-symbol> *macro* . <handler>) This is equivalent to *preorder* described above. However, the result is re-processed again, with the current stylesheet.
procedure: post-order TREE BINDINGS post-order is a strict subset of pre-post-order without *preorder* (let alone *macro*) traversals. Now pre-post-order is actually faster than the old post-order. The function post-order is deprecated and is aliased below for backward compatibility.
tree = atom | (node-name tree ...) foldts fdown fup fhere seed (Leaf str) = fhere seed str foldts fdown fup fhere seed (Nd kids) = fup seed $ foldl (foldts fdown fup fhere) (fdown seed) kids
procedure fhere: seed -> atom -> seed procedure fdown: seed -> node -> seed procedure fup: parent-seed -> last-kid-seed -> node -> seed foldts returns the final seed
where type FOREST = (NODE ...) type NODE = Atom | (Name . FOREST) | FOREST The range of nodes is specified by two predicates, beg-pred and end-pred. beg-pred:: NODE -> #f | FOREST end-pred:: NODE -> #f | FOREST The beg-pred predicate decides on the beginning of the range. The node for which the predicate yields non-#f marks the beginning of the range The non-#f value of the predicate replaces the node. The value can be a list of nodes. The replace-range procedure then traverses the tree and skips all the nodes, until the end-pred yields non-#f. The value of the end-pred replaces the end-range node. The new end node and its brothers will be re-scanned. The predicates are evaluated pre-order. We do not descend into a node that is marked as the beginning of the range.
Output the 'fragments' The fragments are a list of strings, characters, numbers, thunks, #f, #t -- and other fragments. The function traverses the tree depth-first, writes out strings and characters, executes thunks, and ignores #f and '(). The function returns #t if anything was written at all; otherwise the result is #f If #t occurs among the fragments, it is not written out but causes the result of SRV:send-reply to be #t
(define (SRV:send-reply . fragments) (let loop ((fragments fragments) (result #f)) (cond ((null? fragments) result) ((not (car fragments)) (loop (cdr fragments) result)) ((null? (car fragments)) (loop (cdr fragments) result)) ((eq? #t (car fragments)) (loop (cdr fragments) #t)) ((pair? (car fragments)) (loop (cdr fragments) (loop (car fragments) result))) ((procedure? (car fragments)) ((car fragments)) (loop (cdr fragments) #t)) (else (display (car fragments)) (loop (cdr fragments) #t)))))
procedure: pre-post-order TREE BINDINGS Traversal of an SXML tree or a grove: a <Node> or a <Nodelist> A <Node> and a <Nodelist> are mutually-recursive datatypes that underlie the SXML tree: <Node> ::= (name . <Nodelist>) | "text string" An (ordered) set of nodes is just a list of the constituent nodes: <Nodelist> ::= (<Node> ...) Nodelists, and Nodes other than text strings are both lists. A <Nodelist> however is either an empty list, or a list whose head is not a symbol (an atom in general). A symbol at the head of a node is either an XML name (in which case it's a tag of an XML element), or an administrative name such as '@'. See SXPath.scm and SSAX.scm for more information on SXML. Pre-Post-order traversal of a tree and creation of a new tree: pre-post-order:: <tree> x <bindings> -> <new-tree> where <bindings> ::= (<binding> ...) <binding> ::= (<trigger-symbol> *preorder* . <handler>) | (<trigger-symbol> *macro* . <handler>) | (<trigger-symbol> <new-bindings> . <handler>) | (<trigger-symbol> . <handler>) <trigger-symbol> ::= XMLname | *text* | *default* <handler> :: <trigger-symbol> x [<tree>] -> <new-tree> The pre-post-order function visits the nodes and nodelists pre-post-order (depth-first). For each <Node> of the form (name <Node> ...) it looks up an association with the given 'name' among its <bindings>. If failed, pre-post-order tries to locate a *default* binding. It's an error if the latter attempt fails as well. Having found a binding, the pre-post-order function first checks to see if the binding is of the form (<trigger-symbol> *preorder* . <handler>) If it is, the handler is 'applied' to the current node. Otherwise, the pre-post-order function first calls itself recursively for each child of the current node, with <new-bindings> prepended to the <bindings> in effect. The result of these calls is passed to the <handler> (along with the head of the current <Node>). To be more precise, the handler is _applied_ to the head of the current node and its processed children. The result of the handler, which should also be a <tree>, replaces the current <Node>. If the current <Node> is a text string or other atom, a special binding with a symbol *text* is looked up. A binding can also be of a form (<trigger-symbol> *macro* . <handler>) This is equivalent to *preorder* described above. However, the result is re-processed again, with the current stylesheet.
(define (pre-post-order tree bindings) (let* ((default-binding (assq '*default* bindings)) (text-binding (or (assq '*text* bindings) default-binding)) (text-handler ; Cache default and text bindings (and text-binding (if (procedure? (cdr text-binding)) (cdr text-binding) (cddr text-binding))))) (let loop ((tree tree)) (cond ((null? tree) '()) ((not (pair? tree)) (let ((trigger '*text*)) (if text-handler (text-handler trigger tree) (error "Unknown binding for " trigger " and no default")))) ((not (symbol? (car tree))) (map loop tree)) ; tree is a nodelist (else ; tree is an SXML node (let* ((trigger (car tree)) (binding (or (assq trigger bindings) default-binding))) (cond ((not binding) (error "Unknown binding for " trigger " and no default")) ((not (pair? (cdr binding))) ; must be a procedure: handler (apply (cdr binding) trigger (map loop (cdr tree)))) ((eq? '*preorder* (cadr binding)) (apply (cddr binding) tree)) ((eq? '*macro* (cadr binding)) (loop (apply (cddr binding) tree))) (else ; (cadr binding) is a local binding (apply (cddr binding) trigger (pre-post-order (cdr tree) (append (cadr binding) bindings))) ))))))))
procedure: post-order TREE BINDINGS post-order is a strict subset of pre-post-order without *preorder* (let alone *macro*) traversals. Now pre-post-order is actually faster than the old post-order. The function post-order is deprecated and is aliased below for backward compatibility.
(define post-order pre-post-order)
procedure fhere: seed -> atom -> seed procedure fdown: seed -> node -> seed procedure fup: parent-seed -> last-kid-seed -> node -> seed foldts returns the final seed
(define (foldts fdown fup fhere seed tree) (cond ((null? tree) seed) ((not (pair? tree)) ; An atom (fhere seed tree)) (else (let loop ((kid-seed (fdown seed tree)) (kids (cdr tree))) (if (null? kids) (fup seed kid-seed tree) (loop (foldts fdown fup fhere kid-seed (car kids)) (cdr kids)))))))
where type FOREST = (NODE ...) type NODE = Atom | (Name . FOREST) | FOREST The range of nodes is specified by two predicates, beg-pred and end-pred. beg-pred:: NODE -> #f | FOREST end-pred:: NODE -> #f | FOREST The beg-pred predicate decides on the beginning of the range. The node for which the predicate yields non-#f marks the beginning of the range The non-#f value of the predicate replaces the node. The value can be a list of nodes. The replace-range procedure then traverses the tree and skips all the nodes, until the end-pred yields non-#f. The value of the end-pred replaces the end-range node. The new end node and its brothers will be re-scanned. The predicates are evaluated pre-order. We do not descend into a node that is marked as the beginning of the range.
(define (replace-range beg-pred end-pred forest) ; loop forest keep? new-forest ; forest is the forest to traverse ; new-forest accumulates the nodes we will keep, in the reverse ; order ; If keep? is #t, keep the curr node if atomic. If the node is not atomic, ; traverse its children and keep those that are not in the skip range. ; If keep? is #f, skip the current node if atomic. Otherwise, ; traverse its children. If all children are skipped, skip the node ; as well. (define (loop forest keep? new-forest) (if (null? forest) (values (reverse new-forest) keep?) (let ((node (car forest))) (if keep? (cond ; accumulate mode ((beg-pred node) => ; see if the node starts the skip range (lambda (repl-branches) ; if so, skip/replace the node (loop (cdr forest) #f (append (reverse repl-branches) new-forest)))) ((not (pair? node)) ; it's an atom, keep it (loop (cdr forest) keep? (cons node new-forest))) (else (let ((node? (symbol? (car node)))) ; or is it a nodelist? (call-with-values ; traverse its children (lambda () (loop (if node? (cdr node) node) #t '())) (lambda (new-kids keep?) (loop (cdr forest) keep? (cons (if node? (cons (car node) new-kids) new-kids) new-forest))))))) ; skip mode (cond ((end-pred node) => ; end the skip range (lambda (repl-branches) ; repl-branches will be re-scanned (loop (append repl-branches (cdr forest)) #t new-forest))) ((not (pair? node)) ; it's an atom, skip it (loop (cdr forest) keep? new-forest)) (else (let ((node? (symbol? (car node)))) ; or is it a nodelist? ; traverse its children (call-with-values (lambda () (loop (if node? (cdr node) node) #f '())) (lambda (new-kids keep?) (loop (cdr forest) keep? (if (or keep? (pair? new-kids)) (cons (if node? (cons (car node) new-kids) new-kids) new-forest) new-forest) ; if all kids are skipped )))))))))) ; skip the node too (call-with-values (lambda () (loop forest #t '())) (lambda (new-forest keep?) new-forest)))


Get Wheel Chair Logo UK.  The best selection of royalty free wheel chair logo vector art, graphics and stock illustrations.
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1. What Is Angular
Created Saturday 10 July 2021
Angular is a development platform/library used for front-end (client-side) web development. It is an in-house tool developed by Google and allows us to create reactive, single-page-applications (SPA).
Multi-page App:
[Home | Ronit Ray](http://ronitray.xyz)
- Standard for the web for a long time.
- Every time we need a new page, browser sends request to server, server sends response with necessary content.
- Page reloads every time, and control goes from page > browser > page and so on.
- Not a smooth, consistent interface, but sometimes faster.
Single-page App:
[YouTube](https://youtube.com)
- On first load, the browser downloads an "application", typically in JS, instead of just the index/landing page.
- Most of the computation that happens is now done by the application client/server side, and appropriate changes are rendered within the app without ceding control to the browser.
- Load, don't reload
- The application intelligently manipulates the DOM to change only the content that needs to be changed, instead of reloading all redundant content as well.
- Smooth, consistent UI.
SPA frameworks:
- Angular
- React
- Vue.js
- Svelte
- Ember.js
and many, many more
Why Angular?
- Well-established
- Backed by major corporation
- Used by huge network of developers
- Developer-friendly
- Can be extended into native apps using hybrid frameworks
2010: AngularJS initial launch
AngularJS was a JavaScript-based library that was added to your projects the same way you add jQuery/Bootstrap, as in using
<script src="...">
2016: Angular 2 initial release
Angular 2 is a ground-up rewrite of Angular using TypeScript instead of JavaScript, designed to fix a number of issues.
[TypeScript Intro](https://www.notion.so/TypeScript-Intro-f25d6425308a4bdd96aa82dfaa14ddda)
New versions are released every 6 months but there are no major jumps on the scale of 1>2.
NOTE: Whenever we refer to Angular from here on, we are only talking about Angular 2+.
Learning resources:
- Udemy: Angular Complete Guide: Maximillian Schwarzmueller.
- Individual course ID: 62575
- Angular 8 E1 Competency (this course + mini-project): 6162
- Angular Documentation:
- Angular Material:
- Udemy: Angular Crash Course for Busy Developers by Mosh Hamedani
- TypeScript Documentation:
Backlinks: Angular


Before Change
if forward:
canvas = getattr(self, "canvas")
if canvas is not None:
ratio = getattr(self.canvas, "_dpi_ratio", 1)
dpival = self.dpi / ratio
canvasw = w * dpival
canvash = h * dpival
manager = getattr(self.canvas, "manager", None)
if manager is not None:
After Change
if h is None: // Got called with a single pair as argument.
w, h = w
size = np.array([w, h])
if not np.isfinite(size).all() or (size <= 0).any():
raise ValueError(f"figure size must be positive finite not {size}")
self.bbox_inches.p1 = size
if forward:


FM Sitharaman unveils two IT initiatives for faster customs clearance
ATITHI is a mobile app for international travelers to file the customs declaration in advance
by BS ReporterFinance Minister Nirmala Sitharaman on Monday unveiled two new information technology initiatives for improved monitoring of clearance of the imported goods and making it easier for international passengers to arrive in India. These two initiatives are ICEDASH and ATITHI. ICEDASH is an ease of doing business monitoring dashboard of the customs department, helping public see the daily clearance times of import cargo at various ports and airports. ATITHI is a mobile app for international travelers to file the customs declaration in advance.


Hi. I’m an aspiring web developer finishing the last year of my undergraduate computer science degree at UCLA.
I’ve been working for the past two years as a front-end developer, back-end developer, system administrator, and everything in between.
Most of my experience has been with Node and PHP, but I've used a lot of different languages and technology stacks.
I've had a very busy career in the short time as web manager for UCLA Radio:
I work for the Design Media Arts department at UCLA as the sole web developer.
I've done a little bit of everything on the support site, but here are the biggest changes I've made:
A RESTful API that was created for my capstone Computer Science project.
The iOS app, Barter, allows users to trade items locally.
The Node API that I created allows the iOS client to communicate with a PostgreSQL server for persistent data storage.


GET OUT OF THE DNIWE
/ MOVE BLOCKS TO ESCAPE. USE NUMPAD OR ARROWS. DO NOT BE HIT BY FALLING BLOCK. \
0
EXCELLENT
GAME 0VER
LOADING.......
EASY
MEDIUM
HARD
ARCADE
PLAY


--- layout: post status: publish published: true title: Don't swing, Carl - Episode 7.55 author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 11485 wordpress_url: http://ivyenvy.com/?p=11485 date: '2015-10-01 21:39:16 +0000' date_gmt: '2015-10-02 02:39:16 +0000' categories: - Podcast tags: [] comments: [] ---
This is the 351st episode of The Ivy Envy Podcast. On this episode, we share some post-season plans and resist talking too much about the post-season. We'll have plenty of opportunities to talk about that. List to the podcast to hear about those opportunities.
We begin wrapping up the 2015 season and briefly talk about the 3-game domination over the Reds that the Cubs just wrapped up. We talk curses, Bartman, player nicknames, definitions of success and how many world series championships we want in a row.


I worked with three classmates to create an educational device for patients suffering from ankle sprain. The device combines mechanical and electrical elements to demonstrate the various types and severities of sprains and the associated anatomical impacts. Users can manipulate the base of the device to see how their sprain happened and how to prevent simular injury in the future.
Collaborator credit: Aaron Thayer, Hayley Spelman, Rachel RoseFigura


Who We Are
Fase Construction has been delivering innovative, sustainable, and quality solutions to communities across GTA and surrounding areas.We provide thorough, professional demolition, excavation, Paving, Interlock and Concrete and land clearing services that let you get started on your work when you need to. As a fully licensed and insured multi-disciplinary contractor, we boast an extensive inventory of equipment and experienced professionals. Fase construction is committed to operating and adhering to all regulatory obligations enforced by the Ministry of Labour and the Ontario Health and Safety Administration.


Test app which creates interesting trackable stats
Echo headers
Fast leak
Generate a load for 1 second
Sleep the thread for 15 second
Actuators list
Throws an error
Log some messages
How to kill this application
Scheduled task that will leak until crashes
Kill the application
Image that will trigger web requests


lcc.db_tier package¶
Subpackages¶
- lcc.db_tier.connectors package
- Submodules
- lcc.db_tier.connectors.asas_archive module
- lcc.db_tier.connectors.corot_archive module
- lcc.db_tier.connectors.file_manager module
- lcc.db_tier.connectors.kepler_archive module
- lcc.db_tier.connectors.macho_client module
- lcc.db_tier.connectors.ogleIII_archive module
- lcc.db_tier.connectors.ogle_client module
- Module contents
Submodules¶
lcc.db_tier.TAP_query module¶
-
class
lcc.db_tier.TAP_query.
TapClient
[source]¶ Bases:
lcc.db_tier.base_query.LightCurvesDb
Common class for all TAP db clients
Attributes
COO_UNIT_CONV (int, float) Conversion rate of coordinates from degrees QUOTING (list, tuple) Expressions with any of these symbols are quoted Methods
-
COO_UNIT_CONV
= 1¶
-
COUNTER_CON
= 0¶
-
QUOTING
= [' ', '/', '_', '-', '.', '+']¶
-
REPEAT_CON
= 10¶
-
SPECIAL_SYMB
= ['<', '>', '=']¶
-
postQuery
(tap_params)[source]¶ Post query according to given parameters
Parameters: tap_params : dict
Tap query parameters. It has to contains four keys.
- Dict keys:
- URL(str)
Url of tap server
- table(str)
Name of table for query
- select(str/list)
Select string or list of column names
- conditions(list/tuple)
For each condition in the list of conditions there is a tuple - (“name of column”, “condition”) or (“name of column”, “lower value”, “upper value” for search in the range
Returns: list of lists
Result from the query as nested lists
-
lcc.db_tier.base_query module¶
-
class
lcc.db_tier.base_query.
LightCurvesDb
[source]¶ Bases:
lcc.db_tier.base_query.StarsCatalogue
Methods
-
class
lcc.db_tier.base_query.
StarsCatalogue
[source]¶ Bases:
object
Methods
-
coneSearch
(coo, stars, delta_deg, nearest=False)[source]¶ Filter results from cone search
Parameters: coo : astropy.coordinates.sky_coordinate.SkyCoord
Center of searching
stars : list of Star objects
Stars returned by query
delta_deg: float, astropy.units.quantity.Quantity
Radius from center of searching
nearest : bool
Nearest star to the center of searching is returned if it is True
Returns: list
List of Star objects
-
lcc.db_tier.stars_provider module¶
-
class
lcc.db_tier.stars_provider.
StarsProvider
[source]¶ Bases:
object
Stars provider is an interface between end-user and database connectors. All database connectors have to inherit StarsCatalog class.
Attributes
STARS_PROVIDER (dict) Methods
-
STARS_PROVIDERS
= {'CorotFaintArchive': <class 'lcc.db_tier.connectors.corot_archive.CorotFaintArchive'>, 'OgleIII': <class 'lcc.db_tier.connectors.ogleIII_archive.OgleIII'>, 'FileManager': <class 'lcc.db_tier.connectors.file_manager.FileManager'>, 'AsasArchive': <class 'lcc.db_tier.connectors.asas_archive.AsasArchive'>, 'CorotBrightArchive': <class 'lcc.db_tier.connectors.corot_archive.CorotBrightArchive'>, 'KeplerArchive': <class 'lcc.db_tier.connectors.kepler_archive.KeplerArchive'>, 'MachoDb': <class 'lcc.db_tier.connectors.macho_client.MachoDb'>, 'OgleII': <class 'lcc.db_tier.connectors.ogle_client.OgleII'>}¶
-
lcc.db_tier.vizier_tap_base module¶
-
class
lcc.db_tier.vizier_tap_base.
VizierTapBase
(queries)[source]¶ Bases:
lcc.db_tier.TAP_query.TapClient
Base class for all tap connectors using VizieR database. In the most situations new connectors will contain just few class attributes and there will not be need to write new or overwrite current methods.
Attributes
TAP_URL (str) Url to tap server FILES_URL (str) Path to light curve files storage TABLE (str) Name of queried table RA (str) Name of right ascension column. It should be in degrees, anyway it is necessary to convert them DEC (str) Name of declination column. It should be in degrees, anyway it is necessary to convert them NAME (preformated str) Preformated string with dictionary keys. Methods
This class inherits TapClient which brings methods for creating, posting and returning tap queries. Methods of this class manage results and create Star objects and light curves. There is no need overwrite methods in inherited classes in the most cases. Anyway obtaining light curves can be different for many databases. In this case it would be sufficient to just implement new _getLightCurve method. Brief description of methods can be found below at their declaration. -
DEC
= 'DEJ2000'¶
-
DELIM
= None¶
-
ERR_COL
= 2¶
-
ERR_MAG_RATIO
= 1.0¶
-
LC_FILE
= None¶
-
MAG_COL
= 1¶
-
RA
= 'RAJ2000'¶
-
TAP_URL
= 'http://tapvizier.u-strasbg.fr/TAPVizieR/tap'¶
-
TIME_COL
= 0¶
-
getStars
(lc=False, **kwargs)[source]¶ Get star objects
Parameters: lc : bool
Star is appended by light curve if True
Returns: list
List of stars
-
getStarsWithCurves
(**kwargs)[source]¶ Get star objects with light curves
Parameters: kwargs : dict
Optional parameters which have effect just if certain database provides this option.
For example CoRoT archive contains very large light curves, so the dimension of light curve can be reduced by max_bins keyword.
Returns: list
List of stars with their light curves
-


A Trading Guide
Help Me Pick New Logo Through 3 April 2016!
I am in the process of running a logo design contest on 99designs and have created a poll with 6 of the best logo designs I've received. I would love for you to vote on the logo design. It only takes a minute.
Like Sci-Fi? Read My New Online Fiction Series.
Do you like Sci-Fi? While I finish up my next novel, I have started an online fiction series called Forbearance. Picking up from the canteen scene in Bellicose, we meet Keius Minjen, a postal marine, as he tries to survive the battle planet Guna to exact revenge and one day liberate his homeland.
Sign-up if you want me to send you news about upcoming installments of Forbearance or my other writings.
Introduction
(Reprinted from here.)
Recently, I experienced the creation of a new alt and ended up in the new players channel. I noticed several individuals stating with authority that trading npc goods is not profitable. I want to state with complete authority that this opinion is incorrect. It may not be as profitable as level 4 mission running or 0.0 ratting or mining high end minerals in a hulk. However, it is both safer and cheaper to get into than any of those three options.
I began hauling in December 2005 with my first character. At that time, I was looking for a way of making money while training learning skills that did not involve the risk of lagging out in missions and losing yet another cruiser. I started my fledgling career with the insurance payout from a crushed caracal, approximately 2 million ISK. I spent roughly a month doing nothing but trading while those skills ground away and in the end, I had enough to buy a battleship, but that is a different tale of disaster. Remember, insure your ship!
Equipment
To begin you need three things. You need an industrial ship to haul with, ISK to invest, and a willingness to think. The most important of these is the third. If you want a mindless way to make money, stop reading and look up the Halada guide to mining. For trading, you must be willing to do research, perform calculations, and find new horizons.
Your best bet is to start with a beginning level industrial ship if you can afford it. For most races, it requires: * Racial Frigate 3 * Ship Command 3 * Racial Industrial 1 Note: by racial, I mean Amarr, Caldari, Gallente, or Minmatar.
You do not need a lot of ISK. I had several disastrous incidents beginning where I bought items in low sec and got blown up trying to reach them or realized after buying the goods and simply abandoned them. If you find yourself down to 100,000 ISK, you can still trade. You just have to do so with a more limited basis. If you do have the money, be aware that cargo space will become the direct limitation on how much money you make at one time.
Research
Thinking is the hard part of trading. During my travels through regions, I sit on the market screen, looking at trade goods. I note down stations with high volumes of goods at cheap prices and just as important, stations with high volumes of demand at high prices. If you have read any economics, then you already know this part. In order for the market to work, you need both of these market forces: Supply and Demand. Without one or the other, youre throwing ISK away.
The things you need to know to perform a trade are pretty simple. The location of the supply, the location of the demand, how far you are from the supply, the selling price, the buying price, the security levels of the two systems, the amount of cargo space you have in your ship, the volume of the materials to be hauled, and how much money you have.
ISK per m3 per jump.
The initial calculation begins with buying price selling price = reward. For my example, Im using frozen foods, one of my longtime favorites for easy ISK. After downtime, it begins selling for 90.16 ISK per unit at certain stations. Other stations begin buying frozen food at 116.42. Thus for every unit, you make 26.26 ISK.
The next addition to the formula is the multiplier. How much cargo space do you have and how much volume does the cargo take up. In my Iteron 5, I have roughly 30,000 m3 of space. However, for a new player, that figure is meaningless. The Badger holds 4125 m3. With two cargo expander 1s, that jumps to 5455 m3 (not including skills). As I mentioned before, this becomes your real limiting factor. With time, you want to expand this by moving to the largest hauler available and by using T2 cargo expanders.
Continuing with the multiplier, how much volume does the cargo take up? For minerals, it can be as small as .01 m3 per unit. For most npc goods, the bottom limit is .1 m3 as is the case with frozen foods, or 10 m3 each as with construction blocks. Here is the real difference between goods. At .1 m3 each, I can fit 54,550 frozen food in a badger. Now multiply that times the 26.26 per unit we gain from the sale and you receive a little under 1.4 million ISK after taxes. However, that implies that you get the perfect trade with exactly what you hold. In reality, I ended up with scatterings of a couple hundred or thousand of this or that all over the regions I traded through.
Next is the divisor. Some people ignore this, but frankly, time must be part of your equation. By time, I mean distance traveled. How far are you from the start of the trade route and how many jumps do you need to make for the route? If you dont see anything else in the region, and it will take 20 jumps to begin, then you are probably better off moving to a different region, unless its a heck of a route. Personally, I like to make 100,000 per jump or its not worth my time.
The diamonds in trading are in system trades. For me, this means Kaalakiota Corporation in two different ways. Kaal demands silicate glass and produces frozen food. Ishukone Corpation Factory produces silicate glass, while The Scope Development Studio requires frozen foods. Im still looking to find a system with all three in one system, but have yet to find that gem. However, Kaal stations and one of the others does exist in the same system in several regions. Buying glass or food and moving it across the system to the other station nets a huge profit in a very short time.
The Mechanisms.
When you pull up the market screen for npc goods, youll notice consumer goods and industrial goods at the top. These are the mainstay of your trading. However, if you are in Amarr space, check out the price of those slaves under passengers. They can be good money makers.
There are two main types of stations in the market; small supply/demand and large supply/demand. Youll notice that some stations supply or demand 50 frozen food. If you are hauling in a frigate or cruiser, then the small stations may be just what you are looking for as the larger haulers will ignore them.
When you buy or sell from the npc market, it changes the price at that station. If the station sells 50,000 frozen food and you buy 1, the market reacts as if you bought the whole amount, so buy as much as you can afford, and sell all you have. Typically, a station will only have 1 good buy or sell order, after that it drops down to much nearer the average price. Buying, hauling and selling 1 frozen food for a profit of 26.26 ISK is the same for the market as hauling the whole 54000 units. When I began, it was not uncommon for me to make two or even three trips to complete a single market order to get the best price for the whole lot. Hydrogen Batteries were my biggest money makers but also took the most hauling.
Pitfalls
For me, the pitfall of trading was low security space. I found a deal on garbage with huge profits, loaded up my badger and headed out, only to find myself running away in a pod when the gate camp cracked my ship. My only satisfaction was that they got exactly what they deserved: garbage. After that, I learned not to go into low sec space. However, that doesnt mean I learned not to buy stuff in low sec. I still have 5000 units of carbon somewhere in Gallente space that I wont go pick up. Eventually, I learned to check sec status of every beginning or ending system. However, there are a few systems that are high sec that are unreachable without going through low sec, so sometimes I use my map and the autopilot to check sec status. Remember, insure your ship.
The other pitfall is volume. You can get some amazing profit ratios on some items only to find out that they take up so much of your cargo hold that it takes you 4 or 5 runs to move the whole order. While this is irritating, it doesnt compare to getting blown up and losing the whole cargo or letting the cargo sit and rot in some station youll never visit. But it kills your ISK per hour, so try to avoid it.
The last pitfall is other traders. Last week, I was trading glass in Domain and I realized that the juicy buy order I was heading for was looking pretty anemic. I switched to another destination and saw the price change there too. If you get behind another trader, your profit margin will drop from nice to nothing. Every time they buy or sell, it affects the market at that station, the same as if you did.
In the end, remember, you are paying for the service. If you don’t enjoy it, then do something else. Good trading.


This video gives a demonstration of real-time person tracking using sonar. This work was done with Guillaume Neirinckx in the context of our master's thesis supervised by Peter Van Roy and Igor Kopestenski at UCL during the 2019-2020 academic year. This work was presented in an invited talk given by Peter Van Roy on Aug. 23, 2020 at the Erlang Workshop 2020 (colocated with ICFP 2020). The talk slides are available here and our master's thesis text is available bellow.
Let's Socialize


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bradley hunter
Based in Chicago. I love playing tennis and loud music.
lucas marsha
I get my inspiration from nature and objects around me. I have a passion to colours, typography and skateboards.
heather walker
I'm a happy person that loves cats and climbing on mountains.
lisa hunter
Based in Chicago. I love playing tennis and loud music.


Below are twelve pills. Eleven of them are identical, one of the pills is poison
The poisoned pill weighs slightly different than the other pills (more or less)
You have a scale that can be used only 3 times.
Figure out which one is the poisoned pill.
You can use the scale 3 more times


rangeMode option enables or disables range mode. Default is false
Close after selection
closeAfterSelection option enables or disables datepicker closing after date
selections. By
default the option is true
Calendar view order
orderPeriodLabel option sorts the label period views.
Default [multi-year]: multi-year then back to month
Month [month]: month > year > multi-year
Select first date on close
selectFirstDateOnClose option enables or disables the selection of the first date when closing
the datepicker before selecting another date.
By default the option is false
Custom Footer (Default Ranges)
calendarFooterComponent option allows you to define a footer in the calendar simalar to custom headers.
Inline Usage - Range
The sat-calendar component with its dateRangesChange output binding can be used as an inline range date picker. Validation NOT WORKING.
{{ inlineRange.begin | date }}
{{ inlineRange.end | date }}
{{ inlineBeginDate | date }}
Inline Usage - Single Date
The sat-calendar component with its selectedChange output binding can be used as an inline date picker. Validation NOT WORKING.
{{ selectedDate | date }}
Disable range mouseover effect
rangeHoverEffect option enables or disables the mouseover listener on days when the rangeMode parameter is used and is enabled.
By default the option is true


Add a new property
Give your property a name:
Property Address:
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Or Manage Existing Property
Manage existing property
Success!
Share this code with your tenants and click below to begin managing your property!
Welcome!
If your tenants are already using the app, enter their property code here to begin managing your property!
Property Code:
Begin Managing Property!
Or Add a new Property


POS tags
| Open class words | Closed class words | Other |
|---|---|---|
| ADJ | ADP | PUNCT |
| ADV | AUX | SYM |
| INTJ | CCONJ | X |
| NOUN | DET | |
| PROPN | NUM | |
| VERB | PART | |
| PRON | ||
| SCONJ |
ADJ
: adjective
Definition
Adjectives are words that typically modify nouns and specify their properties or attributes. Adjectives in Swedish normally agree in gender and number with the noun they modify (both in attributive and predicative position), e.g. en stor skillnad “a big difference” (common singular), ett stort problem “a big problem” (neuter singual) and stora delar “big parts” (plural).
Examples
- gammal/gammalt/gamla “old”
- grön/grönt/gröna “green”
- ofattbar/ofattbart/ofattbara “incomprehensible”
ADP
: adposition
Definition
Adposition is a cover term for prepositions and postpositions.
Swedish has prepositions but not postpositions (except in a few fixed archaic phrases). In Swedish, some prepositions may also function as verb particles, as in säga till “tell” or komma åt “get at”. They are still tagged ADP
and not PART.
Examples
- i “in/on”
- på “of/at”
- genom “through/via”
ADV
: adverb
Definition
Adverbs are words that typically modify adjectives, verbs or other adverbs for such categories as time, place, direction or manner.
Note that in Swedish, some adverbs may also function as
verbal particles, as in se ut “look” or gömma undan “hide away”. They
are still tagged ADV
and not PART.
Examples
- mycket brådskande “very urgent”
- samtidigt “simultaneously”
- det är bara “it is only”
AUX
: auxiliary verb
Definition
An auxiliary verb is a verb that accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb, such as person, number, tense, mood, aspect, and voice.
Swedish auxiliary verbs can be divided into tense auxiliaries, modal auxiliaries, passive auxiliaries, and copulas.
Examples
- Tense auxiliary: har gjort “has done”, kommer (att) göra “is going to do”, hade gjort “hade done”
- Modal auxiliary: måste skapa “must create”, bör leda till “should lead to”
- Passive auxiliary: blev tvungen “was forced”, blir skalad “is peeled”
- Copula: är sjuk “is sick”, var en idiot “was an idiot”
Delimitation
The exact delimitation of auxiliaries in Swedish is not completely clear-cut, especially for the category of modal auxiliaries and copulas. In the Swedish UD treebank, we have adopted a consensus solution based on existing Swedish grammars, the original Talbanken annotation, and the universal UD guidelines. Below we list the verbs that may appear in each group:
- Tense auxiliary: har, komma
- Modal auxiliary: böra, kunna, måste, skola, vilja, må, torde, lär, få, behöva
- Passive auxiliary: bli
- Copula: vara
CCONJ
: coordinating conjunction
Definition
A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them.
Examples
- och “and”
- eller “or”
- men “but”
CONJ
: coordinating conjunction
Definition
A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them.
Examples
- och “and”
- eller “or”
- men “but”
DET
: determiner
Definition
Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context. Like adjectives, Swedish determiners typically agree with the noun they modify for gender and number, e.g. vår kost “our diet” (common singular), vårt samhälle “our society” (neuter singular), våra åsikter “our opinions” (plural).
Examples
- Articles: en “a/an”, ett “a/an”, den “the”, det “the”, de “the”
- Possessive determiners: min “my” as in min bil “my car”, deras “their” as in deras attityder “their attitudes”, ditt jobb “your job”
- Demonstrative determiners: detta “this/that” as in hela detta nätverk “this whole network”
- Interrogative determiners: vilket “which/what” as in vilket samband finns? “what relation is there?”
- Relative determiners: vilken “which/what” as in komma ihåg vilken tidning det var “remember which newspaper it was”
- Indefinite determiners: någon “any/some” as in det har inte gjorts någon undersökning “there hasn’t been any investigation”
- Totality determiners: alla “all”
- Negative determiners: ingen “no” as in han behöver ingen hjälp “he needs no help”
INTJ
: interjection
Definition
An interjection is a word that is used most often as an exclamation or part of an exclamation.
Examples
- Tack! “Thanks!”
- Aj! “Ouch!”
- Pang! “Bam!”
NOUN
: noun
Definition
Nouns are a part of speech typically denoting a person, place, thing, animal or idea.
Examples
- flicka “girl”
- katt “cat”
- träd “tree”
- luft “air”
- skönhet “beauty”
NUM
: numeral
Definition
A numeral is a word, functioning most typically as a determiner or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction.
Cardinal numerals are covered by NUM regardless of syntactic function and regardless of whether they are expressed as words (fyra “four”), digits (4) or Roman numerals (IV). By contrast, ordinal numerals are always tagged ADJ.
Note that in Swedish the decimal mark is most often a comma. Thousands are then separated by either a space or dot.
Examples
- 0, 1, 2, 3, 2014, 1 000 000, 3.000,15, 3,14159265359
- ett “one”, två “two”, tre “three”, sjuttiosju “seventy-seven”
- I, II, III, IV, V, MMXIV
PART
: particle
Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech (e.g. adpositions, coordinating conjunctions, subordinating conjunctions or auxiliary verbs).
In Swedish PART
is currently only used for the infinitive marker att. Note that not all instances of att are of type PART
, as att can also be used as a SCONJ.
Example
- det är möjligt att förändra den “it is possible to change it”
PRON
: pronoun
Definition
Pronouns are words that substitute for nouns or noun phrases. Their meaning is recoverable from the linguistic or extralinguistic context.
Examples
- Personal (subject) pronouns: jag “I”, du “you”, han “he”, hon “she”, det/den “it”, vi “we”, de “they”
- Personal (object)/reflexive pronouns: mig “me/myself”, dig “you/yourself”, honom “him”, henne “her”, sig “itself/himself/herself/themselves”, oss “us/ourselves”
- Demonstrative pronouns: detta “that/this” as in detta är en svår fråga “that is a difficult question”
- Interrogative pronouns: vem “who” vad “what” as in Vad tycker du? “What do you think?”
- Relative pronouns: vem, vad as in vem denna person än är “whoever this person is”
- Indefinite pronouns: någon “someone/anybody”, något “something/anything”
- Totality pronouns: alla “everyone”, allt “everything”
- Negative pronouns: ingen “nobody”, inget “nothing”
PROPN
: proper noun
Definition
A proper noun is a noun (or nominal content word) that is the name (or part of the name) of a specific individual, place, or object.
In Swedish proper nouns differ from common nouns in inflecting only for case, not for definiteness or number.
Examples
- Ingmar, Ingrid
- Skåne, USA
- Expressen, Pirelli
PUNCT
: punctuation
Definition
Punctuation marks are non-alphabetical characters and character groups used to delimit linguistic units in printed text. They are tagged PUNCT regardless of their function.
Examples
- Period: .
- Comma: ,
- Parentheses: ()
SCONJ
: subordinating conjunction
Definition
A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other.
Examples
- eftersom “because”
- om “if”
- att “that” as in visa att du kan klara det “show that you can do it”
SYM
: symbol
Definition
A symbol is a word-like entity that differs from ordinary words by form, function, or both.
Examples
- $, %, §, ©
- +, −, ×, ÷, =, <, >
- :), ♥‿♥, 😝
-<EMAIL_ADDRESS>http://universaldependencies.org/, 1-800-COMPANY
VERB
: verb
Definition
A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause.
The tag VERB is reserved for full lexical verbs, while auxiliary verbs are tagged AUX.
Examples
- att visa “to show”, jag visar “I show”, han visade “he showed”
- att flyga “to fly”, vi flyger “we fly”, de flög “they flew”
X
: other
Definition
The tag X
is used for words that for some reason cannot be assigned
a real part-of-speech category.
Note: Version 1 of the Swedish UD treebank used X for foreign words (corresponding to the language-specific tag UO), but from version 1.1 these words are given a proper linguistic category and X is currently not used in Swedish. However, it still exists as a potentially permissible tag.


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Since the beginning of Project JXTA, this symbol has come to represent our community.
Lately, we've been working to refresh our look a bit. You may have participated in the discuss alias thread, where we discussed different "taglines" that we could use. After international trademark searches, we found JXTA(TM) Connected best fits our needs. A graphic artist has taken our feedback and designed the four banners below. We are asking for your vote to select the new banner to represent the JXTA Community. The chosen banner will be used on the jxta.org Web site. It will also be available for people to use on their own Web sites to show affiliation to Project JXTA. To show the banner on your Web site, you accept a click-through agreement. This agreement makes sure people use it in a proper way (don't modify it, etc...) and link it to www.jxta.org. Please help us make this important selection by telling us what you think. Please send your comments directly to Lauren Zuravleff, JXTA Marketing Manager at Sun Microsystems. Thank you in advance for your feedback! |
1. | 2. | 3. | 4. |


Contents:
The lib.commons module gropus several utility functions.
Downloads a file object pointed by w_url and stores it on local file w_file_name. The w_update parameter marks how old the file can be. Files are only downloaded if they are older than w_update seconds.
| Parameters: |
|
|---|
:return : file name of the locally-save copy.
lib.commons.dprint (c) Marcelo 2013 Generic logging and debug printing utilities.
The lib.commons.dumpimport module enables importing generic CSV files into memory or file-based sqlite3 databases.
Created on Sep 18, 2013
@author: marcelo
Bases: object
This class implements a generic delimited text file importer into an sqlite3 backend. Allows for limited, SQL-like querying.
Returns a dictionary with all collected statistics
Returns the current number of rows in the in-memory database.
Imports delimiter-separated file into memory database. If the filename ends in ‘.gz’, importFile() will try to open it using the gzip module.
| Parameters: |
|
|---|
Runs an arbitrary SQL query against the in-memory database.
| Parameters: |
|
|---|
The lib.delegated provides a common API for loading and querying the RIR-style stat files, those that can be found at the FTP servers of each RIR.
lib.rpki.ripeval_stats
Created on Sep 3, 2013
@author: marcelo
Imports a RIPE Validator dump into a sqlite memory database. Allows generic SQL-like querying.
In-memory database columns are:
- uri
- origin_as
- prefix
- max_len
- valid_from, valid_until
- istart
- iend
| Author: |<EMAIL_ADDRESS>|
|---|
Runs an arbitrary SQL query against the in-memory database.
| Parameters: |
|
|---|
Load ROA data from RIPE batch validator CSV output.
| Parameters: | w_fname – file name of the CSV file to import. |
|---|
Returns the value of one of several collected stats during CSV import. Returns None if w_stat_name does not exist.
Currently defined stat values are:
- faled_inserts: how many INSERT statements failed during import
- prefixes: how many prefixes were succesfully inserted into the in-memory database
| Parameters: | w_stat_name – named stat value. |
|---|


@media
queries
Black cat magically appears
A black cat of unknown origin materialised inside a house earlier this morning. Residents of the house are perplexed at the appearance of this cat as there did not seem to be any visible entry points large enough to fit the black cat.
calc()
with viewport units
Black cat magically appears
A black cat of unknown origin materialised inside a house earlier this morning. Residents of the house are perplexed at the appearance of this cat as there did not seem to be any visible entry points large enough to fit the black cat.
clamp()
Black cat magically appears
A black cat of unknown origin materialised inside a house earlier this morning. Residents of the house are perplexed at the appearance of this cat as there did not seem to be any visible entry points large enough to fit the black cat.


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ImageCFG¶
Note
I’ve been hosting this file since before 2003. Too bad I don’t have a copy of an older version of this page.
ImageCFG is a utility that probably does a lot of things (I cannot find any official documentation), but the only reason I use it is to fix old games (UT99 for example) which have problems on multicore/multicpu systems. It does so by assigning an executable to specific logical CPUs permanently (by modifying the .exe file, so backup the original in case you want to restore it).
This utility will work in pretty much any modern Windows operating system (2000/XP/Vista/7) and it is meant to be used on computers with multiple CPUs, multiple cores, or Hyper Threading.
History¶
Many years ago, sometime in 2001 or 2002, I was looking for a utility that would permanently set which CPU a program would run under. To my dismay checking the affinity boxes in the task manager was only temporary, and unless I set the affinity of tribes2.exe to one CPU instead of both, my dual Pentium III Windows XP computer would blue screen (it turned out a faulty VP6 motherboard and dissimilar CPUs were to blame).
After many days of searching the internet and Direct Connect, I finally found the utility. While searching I noticed a lot of other people looking for the same tool, so at that time I decided to host the tool and make it easy for anyone to find. Since it’s a small tool that hardly takes up disk space or bandwidth, I have decided to keep hosting this file indefinitely.
Usage¶
ImageCFG will work from any directory, but for ease of use it can be placed in %systemroot%system32 (or
C:Windowssystem32 or C:WindowsSysWOW64 (thanks chris.xudo333) if system32 doesn’t work) and
%systemroot%system32dllcache (or C:Windowssystem32dllcache). Doing so will make imagecfg
a system command
(run it from anywhere in any cmd window or the run dialog). This article assumes you have done so.
The -u
option sets a specified executable to only run in “uni-processor” mode on multi-processor systems. This is
probably optional but I run it anyways.
The -a
option sets a process affinity mask (hexadecimal value) to the specified executable, so that it always runs
using the specified CPU. You can also add up the bits to set multiple CPUs (thanks LigH). Examples (hex = decimal =
CPU):
- 0x01 = 1 = CPU0
- 0x02 = 2 = CPU1
- 0x04 = 4 = CPU2
- 0x08 = 8 = CPU3
- 0x10 = 16 = CPU4
- 0x20 = 32 = CPU5
- 0x40 = 64 = CPU6
- 0x80 = 128 = CPU7
- 0x0f = 15 = CPU0, CPU1, CPU2, and CPU3 (1+2+4+8 = 15)
Examples¶
The following examples will use UT99 from Steam to fix the speed issues I have been experiencing on my FX-60 (AMD dual core) computer running Windows 7 Ultimate 64bit.
This first command is probably optional. It sets the exe to use only one CPU:
imagecfg -u "C:\Program Files (x86)\Steam\steamapps\common\unreal tournament\System\unrealtournament.exe"
This is the important one. It sets the exe to use CPU0:
imagecfg -a 0x1 "C:\Program Files (x86)\Steam\steamapps\common\unreal tournament\System\unrealtournament.exe"


As enterprises grow, so does their data. Often, strict requirements and regulations must be applied to ensure that this sensitive data is secure. Power BI provides a few different ways to help you accomplish this task:
Use Microsoft sensitivity labels to label dashboards, reports, datasets, and dataflows by using the same taxonomy that is used to classify and protect files in Microsoft 365.
Add more protection measures such as encryption and watermarks when you are exporting the data.
Use Microsoft Cloud App Security to monitor and investigate activities in Power BI.
To continue with the module scenario, as more reports and dashboards are increasingly added to the Tailwind Traders workspace, the Sales team becomes concerned as they realize the urgency of securing their data. The team is concerned about the possibility of new users exporting data without permission. The Sales team doesn't want to roll back reports or dashboards, so they have asked you to implement comprehensive security measures that protect data access within and outside of Power BI. You can complete this task by configuring data protection labels in Power BI.
Before you begin, ensure that you have the appropriate licensing, as shown here.
Sensitivity labels specify which data can be exported. These labels are configured externally to Power BI, and Power BI allows you to quickly use them in your reports and dashboards. These labels allow you to define and protect content, even outside of Power BI. Datasets, dataflows, reports, and dashboards can use this mechanism, and all users in your corporation can use this feature unless exceptions have been defined.
After you have verified your ability to add labels, go to any workspace and choose an object to secure. For this example, you will add a sensitivity label to Sales Data by going to the workspace and, under the ellipsis (...), selecting Settings.
This selection will take you to a window, where you can assign a sensitivity label to your data. For this example, the following labels have been externally configured, so you can now apply them to the data: None, Personal, General, Confidential, and Highly confidential. You can also go to Microsoft 365 Security Center to define your own labels.
For example, if you want to assign a Confidential label to your Sales Data report, when you change this label on the Settings pane, it will appear as a label on the report, as shown in the following figure.
This factor is crucial when you are exporting data. Data that is exported to Microsoft Excel, Microsoft PowerPoint, and PDF files will have sensitivity labels enforced. For instance, if you wanted to export data from Sales Data into an Excel file, if you are an authorized user, you will see the following Excel view when you export into Excel.
However, if you didn't have established permissions, you would be denied access to see the data. This verification ensures that only appropriate users have access to view the data, which helps make sure that your data is secured.
For more information, see Apply Data Sensitivity Labels in Power BI.


Home Page
>
Java Naming and Directory Interface(TM).
>
Overview of JNDI
Directory and LDAP Packages
Directory Package
The
javax.naming
package to provide functionality for accessing directory services
in addition to naming services.
This package allows applications to retrieve
associated with
objects stored in the directory and to search for objects using specified
attributes.
The Directory Context
The
DirContextinterface represents a directory context.
DirContext also behaves as a naming context by extending the
getAttributes()to retrieve the attributes associated with a directory entry
(for which you supply the name). Attributes are modified using
modifyAttributes()method. Other overloaded forms of
search()support more sophisticated search filters.
LDAP Package
The
javax.naming.ldap package contains classes and interfaces for using features that are
specific to the LDAP v3 that are not already
covered by the more generic
javax.naming.directory package.
In fact, most JNDI applications that use the LDAP will find the javax.naming.directory
package sufficient and will not need to use the javax.naming.ldap
package at all. This package is primarily for those applications that need
to use "extended" operations, controls, or unsolicited notifications.
- "Extended" Operation
- In addition to specifying well defined operations such as search and
modify, the LDAP v3 (RFC 2251) specifies
a way to transmit yet-to-be defined operations between the LDAP client and
the server. These operations are called "extended" operations. An
"extended" operation may be defined by a standards organization such as the
Internet Engineering Task Force (IETF) or by a vendor.
- Controls
- The LDAP v3 allows any request or
response to be augmented by yet-to-be defined modifiers, called controls
. A control sent with a request is a request control and a control
sent with a response is a response control . A control may be defined
by a standards organization such as the IETF or by a vendor. Request controls
and response controls are not necessarily paired, that is, there need not
be a response control for each request control sent, and vice versa.
- Unsolicited Notifications
- In addition to the normal request/response style of interaction between
the client and server, the LDAP v3 also specifies
unsolicited notifications--messages that are sent from the
server to the client asynchronously and not in response to any client request.
The LDAP Context
The
LdapContextinterface represents a context for performing "extended"
operations, sending request controls, and receiving response controls. Examples
of how to use these features are described in the JNDI Tutorial's
Controls and Extensions lesson.


CrimPapers
Articles published on 7 June 2020
On 7 June 2020, 5 new articles were published in 5 journals.
American Corrections System Response to Covid-19: An Examination of the Procedures and Policies Used in Spring 2020
The Emotional Confluence of Borders, Refugees and Visual Culture: the Case of Behrouz Boochani, Held in Australia’s Offshore Detention Regime
Quantity Or Quality?: Assessing the Role of Household Structure and Parent-Child Relationship in Juvenile Delinquency by Shannon K. Jacobsen, Amarat Zaatut
Teacher Turnover in the Context of Teacher-Directed Violence: An Empowerment Lens by Eric Peist, Susan D. McMahon, Jacqueline O. Davis, Christopher B. Keys
Amsterdam Coffeeshops, Victimisation, and Police Mobilization by Kim Moeller, Scott Jacques


This setup gives you a window into data on about 120 million BART exits in 2015.
Each record represents one hour at a station,
recording how many people exited that station during the hour from each of the
other stations in the BART system.
As of version 002, data extend from 20156-04-01 to 2015-09-30
Useful Variables
- count: Number of exits during that hour.
- doy: decimal day of year. Use for time.
- hour: The integer hour out of 24.
- day: weekday.
- startAt: station where the passenger entered the system
- endAt: station where the passenger left the system
- startReg, endReg: regions for start and end.
These might make some graphs simpler. "City" is SF but not downtown.
Thanks to Pam Herhold, BART, for access!
You are trying to find a meeting in the Bay Area, and you have only BART data to do it with.
You know the meeting is near a BART station. You know it's at the same time very week.
Before you press new game, check out the Options tab.
Use that to set up the game.
- Begin by using the defaults (Orinda, Tuesday, 2 PM, 160 people). So you know the answer.
- See if you can make a graph that shows the meeting in the BART data.
- Notice that the controls let you define what data to get, for example, what date and for what hours.
- Notice that you can learn the cost of your data.
Eventually, you will have to confirm your purchase.
- When you have that nailed, set the time to "surprise me" and play another game.
See if you can figure out the time.
- Gradually move up to other attributes or even to combinations!
Hints
If you're stuck about making a graph with the default options:
- Make sure a Tuesday is selected, such as April 14.
- Make sure "From Embarcadero to Orinda" is selected. Click get data.
- Click the Tables icon above. A data table appears. See what it looks like.
- Click Graph. A mixed-up graph appears.
Drag the heading hours to the horizontal axis of the graph.
- Drag count to the vertical axis. You should see a bump at 2 PM.
- Try dragging other attributes to various axes -- or to the middle of the graph.
Notice that we "knew" Embarcadero would be a good sourse. In reality, you don't know that.
How would you figure it out?
That should get you started. Oh: to start over, just reload the page.


{{- /* Use .Site.Taxonomies to then go through the pages .Params, and build lists of the terms the page specifies. */ -}}


Who am I?
My name is Alexander, I'm 18 years old (Today is 11/12/2018). I am in the final year of Science and Technology of Industry and Sustainable Development (STI2D) in Architecture and Construction specialisation.
I have been passionate about development for 3-4 years now, but also about all sort of things related to astronomy such as galaxies, black holes, etc ...
I also enjoy some sci-fi series like Stargate Sg1, Stargate Atlantis, Doctor Who, etc ...
Which languages do I use?
I always wanted to create a website, but since I was not interested in developing back then, I headed to websites that offered to create a personalised website without requiring any knowledge.
One day, a friend of mine explained a few things to me about the operation and I got started !
Html is, therefore, the first language I learned and obviously, the one that is connected, his friend the Css.
But these are not the only languages that I discovered, I also did Javascript (with Nodejs), a little bit of Python and I recently started learning C ++.
What did I achieve yet?
In the beginning, I made lots of websites (well, especially front-end), but also more recently, I made a discord bot.
From time to time, for fun, I enjoy making Expressions 2 with the Wiremod on Garry's mod.


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4. Tutorial (Docker)
Please download the files in https://github.com/rlrq/MINORg/tree/master/examples. In all the examples below, you should replace “/path/to” with the appropriate full path name, which is usually to the directory containing these example files.
4.1. Running MINORg image as container
If you pulled rlrq/minorg, run the MINORg image as a container using:
docker run -ti rlrq/minorg
Otherwise, if you pulled rlrq/minorg-lite, use:
docker run -ti rlrq/minorg-lite
This starts a linux bash session in a directory called ‘/minorg_docker’, so you should see a command prompt like this:
root@1b2a51c79131:/minorg_docker#
The cryptic alphanumeric string between @ and : is the container ID (in this example, it’s 1b2a51c79131
). Docker will also automatically assign a more human-readable name to the container. To find this human-readable name, start a new terminal session (not in a Docker container) and execute:
docker ps
You should see something like this:
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
1b2a51c79131 minorg "bash" 31 seconds ago Up 29 seconds great_hodgkin
The container name can be found in the last column.
Alternatively, you can also give container a name by running the image using:
docker run -ti --name my_minorg rlrq/minorg
In the above example, the newly created container’s name will be my_minorg
.
4.2. Preparing files
Within the container, unzip the example files using:
root@1b2a51c79131:/minorg_docker# unzip examples.zip
If you pulled rlrq/minorg, unzip the Cdd database and return to the starting directory using:
root@1b2a51c79131:/minorg_docker# cd db
root@1b2a51c79131:/minorg_docker/db# unzip Cdd.v3.18.zip
root@1b2a51c79131:/minorg_docker/db# cd ..
Note that the path to the Cdd database is: /minorg_docker/db/Cdd.v3.18/Cdd
4.3. Importing files
As a Docker container is isolated from the host system, files need to be imported into the container, which can be achieved using docker cp
. To copy a single file, start a new terminal session (not in a Docker container) and execute:
docker cp /path/to/file.txt <container ID or name>:/minorg_docker/path/to/destination.txt
To copy a directory, use:
docker cp /path/to/directory <container ID or name>:/minorg_docker/path/to/destination
4.4. Running MINORg
At this point, you can either follow the command line tutorial starting from Setting up the tutorial to run MINORg in the command line of the container, or start an interactive Python session (Python 3.9 is installed in the container) and follow the Python tutorial starting from Setting up the tutorial to run MINORg in Python.
4.5. Exporting output files
As previously mentioned, the Docker container is isolated from the host system. You may export the files output by MINORg in the container to your system using docker cp
again. To export a single file, use:
docker cp <container ID or name>:/minorg_docker/path/to/file.txt /path/to/destination.txt
To export a directory, use:
docker cp <container ID or name>:/minorg_docker/path/to/directory /path/to/destination
4.6. Exiting the container
When you’re done, you may exit the Docker container using ctrl-D or by typing exit
.
4.7. Reusing the container
Assuming that you did not remove the container, you can restart an exited Docker container session using:
docker start -i <container ID or name>
Your files will still be there.
4.8. Removing the container
If you do not wish to reuse the container, you can delete it using:
docker rm <container ID or name>
4.9. Docker docs
For more on Docker, you may check out Docker’s website: https://docs.docker.com/


Histogram for 1000 samples from Exponential distribution, lambda=0.4
Histogram for 1000 samples from Binomial distribution, n=10, p=0.3


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