PART
: particle
This document is a placeholder for the language-specific documentation
for PART
.
Treebank Statistics (UD_Hindi)
There are 61 PART
lemmas (0%), 62 PART
types (0%) and 6332 PART
tokens (2%).
Out of 16 observed tags, the rank of PART
is: 11 in number of lemmas, 12 in number of types and 10 in number of tokens.
The 10 most frequent PART
lemmas: भी, नहीं, ही, न, तो, करीब, से, लगभग, भर, सिर्फ
The 10 most frequent PART
types: भी, नहीं, ही, न, तो, करीब, से, लगभग, भर, सिर्फ
The 10 most frequent ambiguous lemmas: भी (PART 2107, ADP 1), नहीं (PART 1814, NOUN 2), न (PART 187, NOUN 3), तो (SCONJ 323, PART 169, PRON 132, ADV 2), करीब (PART 150, ADV 11, ADP 10, ADJ 1), से (ADP 5239, PART 100, DET 4), लगभग (PART 81, ADV 9), भर (PART 79, VERB 77, ADJ 1), सिर्फ (PART 70, ADV 3), केवल (PART 59, ADV 1)
The 10 most frequent ambiguous types: नहीं (PART 1814, NOUN 2), न (PART 187, NOUN 3), तो (SCONJ 323, PART 169, PRON 132, ADV 2), करीब (PART 147, ADV 11, ADP 10, ADJ 1), से (ADP 5240, PART 103, DET 2), लगभग (PART 81, ADV 9), भर (PART 79, VERB 16), सिर्फ (PART 70, ADV 3), केवल (PART 59, ADV 1), बिना (PART 53, NOUN 1)
- नहीं
- न
- तो
- करीब
- से
- लगभग
- भर
- सिर्फ
- केवल
- बिना
Morphology
The form / lemma ratio of PART
is 1.016393 (the average of all parts of speech is 1.207113).
The 1st highest number of forms (3) was observed with the lemma “सा”: सा, सी, से.
The 2nd highest number of forms (2) was observed with the lemma “करीब”: करीब, क़रीब.
The 3rd highest number of forms (2) was observed with the lemma “जैसा”: जैसा, जैसे.
PART
occurs with 7 features: hi-feat/Polarity (2008; 32% instances), hi-feat/PronType (2008; 32% instances), hi-feat/Gender (30; 0% instances), hi-feat/Number (27; 0% instances), hi-feat/Case (24; 0% instances), hi-feat/Person (2; 0% instances), hi-feat/Voice (1; 0% instances)
PART
occurs with 10 feature-value pairs: Case=Acc
, Case=Nom
, Gender=Fem
, Gender=Masc
, Number=Plur
, Number=Sing
, Person=3
, Polarity=Neg
, PronType=Neg
, Voice=Act
PART
occurs with 18 feature combinations.
The most frequent feature combination is _
(4294 tokens).
Examples: भी, ही, तो, करीब, से, लगभग, भर, सिर्फ, केवल, प्रति
Relations
PART
nodes are attached to their parents using 9 different relations: hi-dep/dep (4311; 68% instances), hi-dep/advmod (1980; 31% instances), hi-dep/obl (19; 0% instances), hi-dep/dislocated (10; 0% instances), hi-dep/amod (6; 0% instances), hi-dep/obj (3; 0% instances), hi-dep/conj (1; 0% instances), hi-dep/nmod (1; 0% instances), hi-dep/root (1; 0% instances)
Parents of PART
nodes belong to 14 different parts of speech: VERB (1888; 30% instances), NOUN (1877; 30% instances), PROPN (547; 9% instances), PRON (538; 8% instances), AUX (408; 6% instances), NUM (343; 5% instances), ADV (261; 4% instances), ADP (236; 4% instances), DET (112; 2% instances), ADJ (80; 1% instances), CCONJ (29; 0% instances), SCONJ (8; 0% instances), PART (4; 0% instances), ROOT (1; 0% instances)
6304 (100%) PART
nodes are leaves.
21 (0%) PART
nodes have one child.
3 (0%) PART
nodes have two children.
4 (0%) PART
nodes have three or more children.
The highest child degree of a PART
node is 5.
Children of PART
nodes are attached using 8 different relations: hi-dep/punct (20; 49% instances), hi-dep/mark (5; 12% instances), hi-dep/dep (4; 10% instances), hi-dep/nsubj (4; 10% instances), hi-dep/compound (3; 7% instances), hi-dep/nmod (3; 7% instances), hi-dep/amod (1; 2% instances), hi-dep/cc (1; 2% instances)
Children of PART
nodes belong to 10 different parts of speech: PUNCT (12; 29% instances), ADP (7; 17% instances), PART (4; 10% instances), SCONJ (4; 10% instances), VERB (4; 10% instances), NOUN (3; 7% instances), PRON (3; 7% instances), ADV (2; 5% instances), ADJ (1; 2% instances), CCONJ (1; 2% instances)
PART in other languages: [am] [ar] [bg] [bxr] [ca] [ckb] [cop] [cs] [cu] [da] [de] [el] [en] [es] [et] [eu] [fa] [fi] [fo] [fr] [ga] [gl] [got] [grc] [he] [hi] [hr] [hu] [id] [it] [ja] [kk] [kmr] [ko] [la] [lv] [mr] [nl] [no] [pl] [pt] [ro] [ru] [sa] [sk] [sla] [sl] [so] [sr] [sv] [swl] [ta] [tr] [ug] [uk] [u] [urj] [ur] [vi] [yue] [zh]


My brother
Munene
My mom and dad:
Kisach
Akinyi
My friend
Ruth
My friend
Jess
Images of my favorite things
Football
Boxing
Movies
Thanks for reading about me!


Welcome to Plagiarism Detector’s documentation!¶
In spite of years of effort, plagiarism in student assignment submissions still causes considerable difﬁculties for course designers; if students’ work is not their own, how can anyone be certain they have learnt anything. Running-Karp-Rabin Greedy-String-Tiling (or RKS-GST), whose development arose from the observation that students shufﬂe independent code segments. It is able to detect transposed subsequences, and is less perturbed by spurious additional statements.
In another part we use concept of syntactic n-grams (sn-grams). Sn-grams differ from traditional n-grams in the manner how we construct them, i.e., what elements are considered neighbors. In case of sn grams, the neighbors are taken by following syntactic relations in syntactic trees, and not by taking words as they appear in a text, i.e., sn-grams are constructed by following paths in syntactic trees. In this manner, sn-grams allow bringing syntactic knowledge into machine learning methods; still, previous parsing is necessary for their construction.
Contents:


normalizeToMatrix.Rd
Normalize Associations between Genomic Signals and Target Regions into a Matrix
normalizeToMatrix(signal, target, extend = 5000, w = max(extend)/50, value_column = NULL, mapping_column = NULL, background = ifelse(smooth, NA, 0), empty_value = NULL, mean_mode = c("absolute", "weighted", "w0", "coverage"), include_target = any(width(target) > 1), target_ratio = min(c(0.4, mean(width(target))/(sum(extend) + mean(width(target))))), k = min(c(20, min(width(target)))), smooth = FALSE, smooth_fun = default_smooth_fun, keep = c(0, 1), trim = NULL, flip_upstream = FALSE)
| signal | A |
|---|---|
| target | A |
| extend | Extended base pairs to the upstream and/or downstream of |
| w | Window size for splitting upstream and downstream, measured in base pairs |
| value_column | Column index in |
| mapping_column | Mapping column to restrict overlapping between |
| background | Values for windows that don't overlap with |
| empty_value | Deprecated, please use |
| mean_mode | When a window is not perfectly overlapped to |
| include_target | Whether include |
| target_ratio | The ratio of |
| k | Number of windows only when |
| smooth | Whether apply smoothing on rows in the matrix? |
| smooth_fun | The smoothing function that is applied to each row in the matrix. This self-defined function accepts a numeric vector (may contain |
| keep | Percentiles in the normalized matrix to keep. The value is a vector of two percent values. Values less than the first percentile is replaces with the first pencentile and values larger than the second percentile is replaced with the second percentile. |
| trim | Deprecated, please use |
| flip_upstream | Sometimes whether the signals are on the upstream or the downstream of the targets are not important and users only want to show the relative distance to targets. If the value is set to |
In order to visualize associations between signal
and target
, the data is transformed into a matrix
and visualized as a heatmap by EnrichedHeatmap
afterwards.
Upstream and downstream also with the target body are splitted into a list of small windows and overlap
to signal
. Since regions in signal
and small windows do not always 100 percent overlap, there are four different averaging modes:
Following illustrates different settings for mean_mode
(note there is one signal region overlapping with other signals):
40 50 20 values in signal regions ++++++ +++ +++++ signal regions 30 values in signal region ++++++ signal region ================= a window (17bp), there are 4bp not overlapping to any signal regions. 4 6 3 3 overlap absolute: (40 + 30 + 50 + 20)/4 weighted: (40*4 + 30*6 + 50*3 + 20*3)/(4 + 6 + 3 + 3) w0: (40*4 + 30*6 + 50*3 + 20*3)/(4 + 6 + 3 + 3 + 4) coverage: (40*4 + 30*6 + 50*3 + 20*3)/17
A matrix with following additional attributes:
upstream_index
column index corresponding to upstream of target
target_index
column index corresponding to target
downstream_index
column index corresponding to downstream of target
extend
extension on upstream and downstream
smooth
whether smoothing was applied on the matrix
failed_rows
index of rows which are failed after smoothing
The matrix is wrapped into a simple normalizeToMatrix
class.
signal = GRanges(seqnames = "chr1", ranges = IRanges(start = c(1, 4, 7, 11, 14, 17, 21, 24, 27), end = c(2, 5, 8, 12, 15, 18, 22, 25, 28)), score = c(1, 2, 3, 1, 2, 3, 1, 2, 3)) target = GRanges(seqnames = "chr1", ranges = IRanges(start = 10, end = 20)) normalizeToMatrix(signal, target, extend = 10, w = 2)#> Normalize signal to target: #> Upstream 10 bp (5 windows) #> Downstream 10 bp (5 windows) #> Include target regions (6 windows) #> 1 target regionnormalizeToMatrix(signal, target, extend = 10, w = 2, include_target = TRUE)#> Normalize signal to target: #> Upstream 10 bp (5 windows) #> Downstream 10 bp (5 windows) #> Include target regions (6 windows) #> 1 target regionnormalizeToMatrix(signal, target, extend = 10, w = 2, value_column = "score")#> Normalize signal to target: #> Upstream 10 bp (5 windows) #> Downstream 10 bp (5 windows) #> Include target regions (6 windows) #> 1 target region


{%extends "base.html"%} {%load plotly_dash%} {%block title%}Demo Six - Simple Injection{%endblock%} {%block content%}
Direct insertion of html into a web page.
This demo is based on a contribution by, and with thanks to, @eddy-ojb
{% load plotly_dash %}
<div class="{% plotly_class name="dash_example_1" template_type="div-direct"%}">
{% plotly_direct name="dash_example_1" %}
<\div>


Once you have a general understanding of analytics and the tools available you can create an implementation plan for your app.
What needs to take place for you to consider your app successful? This could be conversions such as items being purchased or something as simple as higher ad impressions.
Once you know what your goals are, it’s easy to pinpoint what you need to track. So if your app is largely monetized using ads and your goal is for users to spend more time in the app, then perhaps you plan to track user sessions.
Also, what is your baseline for each specified metric? Do you have data from earlier versions of the app to compare it to? Or perhaps you’ve researched the industry average for that particular measure to use as your benchmark.
After developing your goals and deciding what metrics to track, it’s time to create a clear process for gathering and reacting to the data.
Once you’ve gathered your insights, interpret them and refine your strategy to support your initial goal. This is an ongoing process—measuring and analyzing is only useful if you’re prepared to iterate, test, and optimize.
Taking into account the above considerations allows you to create a simple implementation plan. It doesn’t have to be a long document—one page is enough as illustrated in the following example.
To demonstrate, we have FroLove, a simple informational app with tips for afro textured hair. There are eight broad categories that contain a list of tips and a glossary of terms common within the niche. In order to make the app more engaging we draft the following plan.
It’s a small app with a non-existent budget, so we’ll use two completely free tools and one freemium service that provides unique insight by way of heat maps.
The app is monetized by ads, so one goal is to encourage users to spend as much time as possible using the app. Because this is our initial plan and we don’t yet have data to analyze, we begin with a few exploratory questions. This helps us keep our goals specific so that we’re able to track our progress towards the objectives.
Time to act on our insights.
Let’s say we notice users spending a substantial amount of time in the ‘Detangle’ section. We can then add more content to that section or redesign the page in a way that encourages users to spend more time on the screen.
Perhaps we uncover a pattern of low usage on Monday evenings. Data collected from the app’s Admob account corroborates this. With this insight, we can reengage users by scheduling compelling push notifications on that day.


Dan's Landscaping installs water gardens, ponds, waterfalls and streams for both residential and commercial customers. Whether you want us to tear down and rebuild or update your existing water feature or custom design a new water feature, our experienced professionals can help. We also offer annual maintenance plans, including spring opening and fall closing of water features.
Nothing makes more of an impression than a well conceived and constructed fountain. From small patio fountains to large open fountains, Dan's Landscaping can design and create unique displays of water for any situation.
Some clients seem concerned if they see any algae in their pond. Some algae must be present and is a sign of a well balanced Ecosystem! Excess algae are a sign of a water imbalance. Typically this results from overfeeding fish, lawn fertilizer application, or other outside variables that the water feature has been exposed to. Our experts can diagnose and help remedy these problems for you!


index
|
up
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prev
|
next
SolutionProjectDeclaration Class
Definition at line
19
of
Solution.hpp
Constructors
SolutionProjectDeclaration
(
const
std::string& filePath_)
Member Functions
const
std::string&
FilePath
()
const
Member Variables
std::string
filePath
Constructor Details
SolutionProjectDeclaration Constructor
cmajor::ast::SolutionProjectDeclaration::SolutionProjectDeclaration(
const
std::string& filePath_)
Definition at line
20
of
Solution.cpp
:
20
:
filePath
(
filePath_
)
21
{
22
}
Declaration at line
22
of
Solution.hpp
Member Function Details
FilePath Member Function
const
std::string& cmajor::ast::SolutionProjectDeclaration::FilePath()
const
Definition at line
23
of
Solution.hpp
:
23
{
return
filePath
;
}
Called by:
cmajor::ast::Solution::ResolveDeclarations
index
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up
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next


fprintd-enroll
Enroll fingerprints into the database.
More information: home page
- Enroll the right index finger for the current user:
fprintd-enroll
- Enroll a specific finger for the current user:
fprintd-enroll --finger left-thumb|left-index-finger|left-middle-finger|left-ring-finger|left-little-finger|right-thumb|right-index-finger|right-middle-finger|right-ring-finger|right-little-finger
- Enroll the right index finger for a specific user:
fprintd-enroll username
- Enroll a specific finger for a specific user:
fprintd-enroll --finger finger_name username
- Display help:
fprintd-enroll --help


--- title: Title keywords: fastai sidebar: home_sidebar summary: "summary" ---
Implements a silly game we invented last Christmas and have been playing recently.
Rules are TODO.
Should be as easy as:
pip install swoggle
To get a board with the basic setup, use the swoggle class:
s = Swoggle(agents=[])
s.show()
Players can move (after rolling a dice). For example, player 1 could move to the square with a drone:
s.move(1, (0, 0), (3, 2), 5) # Only works if dice_roll is high enough
s.show()
You can move with the drone, but only half as far:
s.move(1, (3, 2), (1, 1), 5, drone=True) # Only works if dice_roll is high enough
s.show()
You can leave the drone behind to move elsewhere. But you cannot take an occupied base without the drone:
s.move(1, (1, 1), (7, 0), 6) # No drone - no luck
You can take a droned player with a drone for yourself or a powerjump:
s.move(1, (1, 1), (4, 0), 6, drone=True) # Put 1 in position
s.move(2, (7, 0), (4, 0), 6, powerjump=True) # take one with a powerjump
s.show()
Now player 1 must try to escape, by rolling a 5 ot 6
s.move(1, (0, 0), (0, 0), 4) # No escape with a 4
s.move(1, (0, 0), (0, 0), 5) # Escaped
s.show()
s.move(1, (0, 0), (4, 0), 6) # Capture 2
s.move(1, (4, 0), (7, 0), 5) # Take 2's base to win the game
s.show()
We have several agents to choose from. Let's create a game with 2 random agents and 2 basic agents and watch them play:
sr = Swoggle([RandomAgent(i+1) for i in range(2)]+[BasicAgent(i+3) for i in range(2)])
sr.show()
# Run repeatedly to see a game play out
sr.move_agents()
sr.show()
The point of this exercise was to 1) Learn NBev and 2) Get a gae ready for RL experiments. So far so good :)


An atom is a literal, a constant with name. Atoms must start with a colon, :
, if
it contains other characters than alphanumeric, _
or @
, it should be enclosed
in double quotes.
:atom
:"I'm still an atom"
Now try to type a valid atom to go to the next step on the tutorial.


{% extends 'base.html' %} {% block style_block %} {% endblock %} {% block content %}
X-editable: create editable column in table. As pk is unique in each row, you should put it in data-pk attribute.


Hi, I'm Sam. I recently made the transition from the financial industry to tech, and this site will follow my journey from a coding newbie to a girl writing rock-solid code.
I graduated from Colgate University in 2010 with a degree in Economics and continued on to work for an asset management company, where I've been for the past 4 1/2 years. Recently I decided to make the switch to tech and am attending Dev Bootcamp in NYC to become a developer.
I am a lover of animals, barre class, and food, and am very close with my family. In my spare time you can find me catching up with friends, re-reading a good book, or relaxing at home. Please feel free to reach out to me with any questions or comments!


×
The data presented by GrocerCheck Foundation is to be used as a guideline, and cannot be a replacement for common sense and the user's best judgement. GrocerCheck is but one tool with which you may make the best decisions for your health and safety. Although every step has been taken to ensure the information displayed is accurate and reliable, GrocerCheck Foundation is not responsible for any errors or omissions, or for the results obtained from the use of this information. All information in this site is provided "as is", with no guarantee of completeness, accuracy, timeliness or of the results obtained from the use of this information.
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This is paragraph/text: Find stunning women's cocktail dresses and party dresses. Stand out in lace and metallic cocktail dresses and party dresses from all your favorite brands.
Buttons
Block button
Icon buttons
Carousel arrow buttons


|
Click on 'Happy Password' on the main menu, screen like figure 2.5.1 will be shown. Input your new happy password twice, and click the 'Save' button
to update your happy password, and it will be effective immediately. The only constraint of happy password is it's length, it must be 8 characters or
more. Like common password convention, it is case sensitive.
|


{% include templates/hp-gs.html game=dota %}
{% include templates/hp-gs.html game=leagueoflegends %}
{% include templates/hp-gs.html game=smash %}
{% include templates/hp-gs.html game=rocketleague %}
{% include templates/hp-gs.html game=csgo %}
{% include templates/hp-gs.html game=hearthstone %}
{% include templates/hp-gs.html game=overwatch %}
{% include templates/hp-gs.html game=fortnite %}
Upcoming Events
{% for event in site.events limit:6 %}
{% include event-blurb.html event=event %}
{% endfor %}


Memo to Recessionberg: mass immigration is destroying productivity
by Unconventional EconomistTreasurer Josh Frydenberg has penned an op-ed in the AFR championing the “three P’s” of 1) boosting productivity; 2) raising workforce participation; and 3) increasing the population via immigration, to see off the nation’s ageing population:
As a nation, we need to effectively leverage the three P’s – population, participation and productivity – to meet this challenge.
When it comes to workforce participation, we are at record highs and the participation rate for those aged 65 and over has increased from 12.3 per cent to 14.6 per cent over the past five years.
There are 1365 words left in this subscriber-only article.


Create
Department
Name
Required!
Budget
Required!
Start Date
Required!
Administrator
{{$select.selected.FirstMidName }} {{$select.selected.LastName }}
Back to List


From here you can manage catalogs, see the configured prices, and request an update when supported by the provider.
When you update the catalog, prices, available instances, etc. are updated, the existing quotes need to be refreshed.
Also note there are two kinds of refreshes : cost using the new prices and optimize using the most efficient catalog items.
| {{id}} |
{{name}} |
{{lastSuccess}} |
|
|
|
|
|
|
|
| {{loading}} |


The Integrator object integrates the input value with respect to time using the trapezoidal rule:
y = Y + (t – T)*0.5*(x + X)
where:
y = present output value for the integrator
x = present input to the integrator
t = present simulation time
Y = output value for the integrator at the last update time
X = input to the integrator at the last update time
T = simulation time at the last update
The value returned by the Integrator is calculated on demand. The update signal received from the Controller is used only to record the values Y, X, and T used in the calculation.


UGWA now has support for the school's alternating SELF–Gunn Together
shenanigans after spring break. Also,
-
If your computer uses dark theme, UGWA will use dark theme by default.
- Changed default period colours for new users.
-
Users outside Palo Alto will see their local time first instead of Pacific
Time.
- Added a button to send a test notification.
- The Google Maps campus map has been updated.


Our Work
Each year, we collaborate with 2-4 nonprofit organizations and address an issue that each organization faces. After identifying solutions that would address these issues, we organize teams of 8-12 student developers to develop innovative software applications that serve to assist each nonprofit in reaching their goals. This past year, we built a data visualization dashboard for Carelink, mental health nonprofit based in Pennsylvania. We're currently working on projects for CASA of San Luis Obispo and the Central Coast Autism Spectrum Center.
Learn more
View our projects


Abyssal Saintess Elcadia:
You are very skilled, and I am not easily impressed... Alright. Consider this a formal request. I'm in need of someone who I can count on in a number of ways, especially someone who can keep a secret. What do you say, are you willing to help me?
Accept the request.


Dwarf Goods Trader Mion:
Say, I heard some news about my brother.
It seems that he went to the
northern coast
to see the vast ocean for himself.
Heh...you may find it a little difficult to track him down, though. Good luck, I guess.


Acoustic Guitar Anatomy
Electric Guitar Anatomy
Bass Guitar Anatomy
How to Tune A Guitar
Re-stringing You're Guitar
How to read guitar tabs


Fullstack Web Developer || Trainer on Google Digital Skills for Africa, for Konverge Media || Google DSC Lead for AE-FUNAI


Before Change
raise ImportError("The folium package must be installed to use this optional feature.")
// create gdf of the route edges
gdf_edges = utils_graph.graph_to_gdfs(G.subgraph(route), nodes=False, fill_edge_geometry=True)
route_nodes = list(zip(route[:-1], route[1:]))
index = [
gdf_edges[(gdf_edges["u"] == u) & (gdf_edges["v"] == v)].index[0] for u, v in route_nodes
]
gdf_route_edges = gdf_edges.loc[index]
// get route centroid
x, y = gdf_route_edges.unary_union.centroid.xy
After Change
// create gdf of the route edges in order
node_pairs = zip(route[:-1], route[1:])
uvk = ((u, v, min(G[u][v], key=G[u][v].get("length"))) for u, v in node_pairs)
gdf_edges = utils_graph.graph_to_gdfs(G.subgraph(route), nodes=False).loc[uvk]
// get route centroid
x, y = gdf_edges.unary_union.centroid.xy
route_centroid = (y[0], x[0])


Custom Samplers¶
You can build your own sampler by subclassing Sampler. A model is automatically generated from logp. The sampler is also initialized with a state generated from start and the arguments of logp. With these, you define the step method, which should generate one sample and return a state.
As an example, here’s snippet from the Metropolis sampler.
from sampyl import Sampler
from sampyl import np
class Metropolis(Sampler):
def __init__(self, logp, start, **kwargs):
# No gradient is needed, so set it to None, and the flag to False
super(Metropolis, self).__init__(logp, start, None, grad_logp_flag=False, **kwargs)
def step(self):
""" Perform a Metropolis-Hastings step. """
x = self.state
y = proposal(x, self.scale)
if accept(x, y, self.model.logp):
self.state = y
return self.state
def proposal(state, scale):
proposed = State.fromkeys(state.keys())
for i, var in enumerate(state):
proposed.update({var: np.random.normal(state[var], scale[var])})
return proposed
def accept(x, y, logp):
delp = logp(y) - logp(x)
if np.isfinite(delp) and np.log(np.random.uniform()) < delp:
return True
else:
return False
-
class
sampyl.
Sampler
(logp, start, grad_logp=None, scale=None, condition=None, grad_logp_flag=True, random_seed=None)¶ Attributes
Methods
-
sample
(num, burn=0, thin=1, n_chains=1, progress_bar=True)¶ Sample from \(P(X)\)
Parameters: - num – int. Number of samples to draw from \(P(X)\).
- burn – (optional) int. Number of samples to discard from the beginning of the chain.
- thin – (optional) float. Thin the samples by this factor.
- n_chains – (optional) int. Number of chains to return. Each chain is given its own process and the OS decides how to distribute the processes.
- progress_bar – (optional) boolean. Show the progress bar, default = True.
Returns: Record array with fields taken from arguments of logp function.
-


Seeking object oriented software developer to build next generation API for a leading cloud communications service provider in Newark, NJ.
We look for: 1) A passion for programming.  2 ) Ability to learn quickly. You have experience being thrown into a project and running with it. 3) An exceptional coder who finds it fun to build new things 4) Ability to work collaboratively on a team of like-minded people.
www.phone.com/careers


The directive
paEllipsisTooltip
is adding style on its parent to display an ellipsis when there is not enough space to display all the text.
Whenever the element has an ellipsis, this directive automatically adds a system tooltip displaying the full text content on hover.
Short text
No tooltip
Text content long enough to display an ellipsis and a tooltip
Add
paEllipsisTooltip
directive wherever you want to display an ellipsis when the content is too long for the container.
Style responsible for the ellipsis will be added automatically, but you need to manage the container size.
hasEllipsis
event after its first change.
AfterViewInit
and then anytime
content
changed (when
content
Input is applied).
(Event emitted from
updateEllipsisTooltip
)
{{code}}
Example of
hasEllipsis
and
updateEllipsisTooltip
usage:
{{hasEllipsisTemplate}}
{{hasEllipsisTs}}


Roblox Exploiting Report: Summary
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Exploiting Summary


Across: 1. Secure behind border plant (7) 5. Splendid chap, one talking away with his leader and 4 (7) 9. The west, for 21, is in a mess (5) 10. In theory, no shopping centre allowed in cooperating country (9) 11. Primate with revolutionary sex tips (6) 12. see 18dn 13. Steven singing with President X (5) 15. Leaving as planned, with less of "adieu" than as I arrived? (10) 17. Time one's workout (3) 20. 11ss? (10) 22. Part of family confused without a 4 (5) 24. see 18dn 25. Local city neighbourhood (6) 28. Exposure of limits in openers' talent (9) 29. Extracted reported object (5) 30,19,7dn. After 7, 4's letters banal: this U.S. line! (7 3 5) 31. Crap time in crappy place (7) Down: 1. 22 of 18 controls second article (6) 2. Human one essentially mostly horse's body without a brain (9) 3. Twist 4 away from branch offering peace (5) 4. Mother leaves construction boss (4) 5. Party people, in company with single woman inhabiting another world (10) 6. "Pepper Stew" act tune up (9) 7,19ac,18. After 18, 4's retro dance venue superficially used to prohibit one dance, but had a time to slip one in (5 3 8) 8. Hacking angrily with end of knife - one way to cut hair! (8) 14. One in next consumed by a tiny negative thing - an inclusive measure? (10) 16. Trimming of cloth as hem - it ends with a 4 of 21 perhaps (9) 17. Hanging in final stage... ultimately you wear a thin ironic smile (9) 18,12ac,19ac,24ac,30ac. After 30, 4's first two letters boring - a greeting one can mostly half-comically use in embracing such leader (8 2 3 2-7) 21. River country (6) 23. Mobs left in jails (5) 26. Morning person? 5 across! (5) 27. Tainted when passed by word of mouth (4)


While understanding how strings work is an important concept, you’re likely going to find that most of your programming work involves numbers and calculations. And this is a good thing, given that computers are great at doing arithmetic and other basic math.
In the previous Project, when we wrote the code:
print (‘1+1’)
you saw that the output was:
But, what if we didn’t want the program to output the string, but instead wanted the program to calculate the ‘1+1’ and output the result? This is accomplished by simply leaving off the quotation marks in our code, like this:
print (1+1)
If you were to enter this code into your code window and run the program, your output would look like this, exactly what you’d be looking for:
The most common math calculations you’ll do while programming will be addition, subtraction, multiplication and division. You’ve already seen that when doing addition in your code, you use the + sign, just like in the real world. And subtraction will use the – sign as well. But, when writing code, we use different operator signs for multiply and divide.
Here is a quick reference of the basic operator signs you will need to know:
|
Addition |
+ |
|
Subtraction |
- |
|
Multiplication |
* |
|
Division |
/ |
Let’s practice using these operators. In your code window, enter the following lines:
print (1 + 1)
print (5 – 2)
print (2 * 2)
print (10 / 2)
If you run this code, you should expect the following output:
Of course, computers can do more complicated calculations as well. For example, let’s say we wanted to calculate the number of seconds in a day? How would we do this?
To calculate the number of seconds in a day, the easiest way would be to multiply:
(# seconds in a minute) x (# minutes in an hour) x (# hours in a day)
We know that there are:
60 seconds in a minute
60 minutes in an hour
24 hours in a day
If we multiple each of those numbers, we should get the number of seconds in a day. Here is what the code would look like:
print (60 * 60 * 24)
Go ahead and enter that code into your Code Window and run the program. Here is what your output should look like:
There are 86,400 seconds in a day.
…
…
print (‘Number of seconds in a day is: ’, 60 * 60 * 24)


public class BoardModel extends Model
The 'Model' side of the Director aspect of the Animation Suite.
This class handles all methods that relate to the underlying data used for
the board/grid that is displayed with the SuiteCanvas
and
SuiteSwing
classes.
It handles what to do with the colors/chars, how it should react to tools being used and also how to create/delete/move through different frames in the animation being created.
frameNo, grid, MAX_RGB_VALUE, projectFrames, projectSize
| Constructor and Description |
|---|
BoardModel(int rows,
int columns)
The constructor takes parameters for the size of the
grid . |
| Modifier and Type | Method and Description |
|---|---|
void |
copy()
Copies the current frame to the next new frame.
|
void |
deleteFrame()
Deletes the current frame and returns to the previous frame.
|
char[][] |
getGrid(int num)
Returns the full grid that the parameter asks for.
|
void |
newFrame()
Creates a new blank frame after the current frame that the user is
working with.
|
void |
newProject(int newSize,
MyColor selectedColor)
Makes a full new blank project for the user.
|
java.io.File |
saveFile(java.io.File file)
Saves the the current project the user is working on to a file on their
system, named by themselves.
|
void |
setValue(int row,
int column,
char color,
int tool)
Sets a
char at a requested place in the array |
clear, getColor, getFrameNo, getGridDimensions, getTotalFrames, newGrid, nextFrame, openFile, populate, previousFrame
public BoardModel(int rows, int columns)
The constructor takes parameters for the size of the grid
.
The default is 30. Other sizes are determined by imported files and
users.
Once the rows/columns for this particular project are stored, a new
grid
based on it is created, using these dimensions and
passing the RGB code for Black with the character 'Z'
(Which
refers to 'Blank', 'Clear' or what the user will believe to be 'White').
If the input is somehow less than 1 or greater than 100, the parameters will be ignored and set as 30 instead. This scenario should not happen.
rows
- the amount of rows the grid should havecolumns
- the amount of columns the grid should havepublic final void setValue(int row, int column, char color, int tool)
Sets a char
at a requested place in the array
setValue()
takes the row and the column of the square to be
painted/element to be changed to the given char(the colour) and the tool
that are in use to determine exactly which character should be added and
if more than one element should be updated (and how, if yes).
It determines what it should do, based upon the tool used:
Pencil: Simple 'one click, one square updated'.
Spill can: Fills an area of the same color clicked on with the current
active color on whichever mouse button was used. Does not work diagonally
(just like other Image Manipulation programs).
How it works: "Using grid co-ordinates/array locations given, get the old
color in a variable/memory. Change the location to the new colour. Then,
check if any of the surrounding squares (above, below, left and right)
were of the same original color we just copied over. If they were, call
on this method again (almost like recursion!) but with the parameters for
the method updated to represent the square that was adjacent to the
original square (the one that we now know needs updating also). Finally,
update the color of this square to be the new color.
This process is then repeated for all other sides of the square that
require it until it can no longer be called/there are no squares to
update.
Paint Brush: Paints a 'Cross' pattern by painting the square clicked on and then the four surrounding it. (or in the array, those that are 1 position around it, in both rows and columns.
row
- the grid row to be usedcolumn
- the grid column to be usedcolor
- the character representing the colour to be settool
- the integer representing the tool to be usedpublic final void newProject(int newSize, MyColor selectedColor)
Makes a full new blank project for the user.
Clears all Frames held in memory and creates a new grid
based on the newSize
using the
super.newGrid(int, int, MyColor)
from the super abstract
class Model
to create whole new blank project.
newSize
- An integer that the new grid
should be a size of.
This will be used for both rows and columns.selectedColor
- whatever colour the user selected to use from the
NewProjectMenu
(or set by the method that called
to this, usually set to blank/(255,255,255,'Z').public final java.io.File saveFile(java.io.File file)
Saves the the current project the user is working on to a file on their system, named by themselves.
The given file is saved to another File
variable and checked
to see if it ends with .txt
. If it doesn't,
.txt
is appended to the file name.
By creating a new File
with the constructor
File(parent File, String)
and checking that the user named
file ends with .txt
, we can ensure that the file will always
be saved as a .txt
file no matter how the user named the
file.
Similar to the method 'previousFrame()'
, whereby if a user
tries to move off the frame it must first be saved or else the date is
lost and replaced with that of the first frame's data, the same must be
done before the project is saved.
This only applies to the final frame however, as any frame in between the
first and final is automatically saved into the ArrayList
upon creation.
file
- The file of choice, either already loaded into the application
or chosen by the user with JFileChooser
.SuiteDirector
. This is to update the
currentFile
field. It is passed at the end just in
case the file name needed to be changed by the saving process.public final void newFrame()
Creates a new blank frame after the current frame that the user is working with.
The first if
part of this method translates to:
"If the frame the user is currently on is neither the first nor the last
frame in their project, then create a new grid of chars object, populate
it (fill the 2D char
array with 'Z' for white, update the
active held frame number by one and then add the new frame in between the
adjacent frames."
This allows a user to create a set of frames for their animation and then, should they use the next/previous frame buttons to get somewhere between the first and last frames, they can add in an entirely new 'grid' frame that is not at the end.
The second else
part of this method is practically the same
as the first, except that it adds the current grid into the
ArrayList
before creating a new grid of
char
s. This is so that when the user is on the last side of
their animation, the current frame they have been working on will be
added to the end of the ArrayList
(set 'manually' by the
frameNo
reference telling the application what 'frame' it
should currently be on.
It then creates a new grid of char
s and populates it,
updating the active display grid
, before finally updating
the active frame number to one higher than previously, to indicate to
both the user and the application that a new frame has been added.
public final void copy()
Copies the current frame to the next new frame.
Much like newFrame()
but copies over the previous frame
design by making a new temporary grid
to hold the old
grid
, creates a new grid
, puts the old
grid
into this one and then uses that for the new frame
displayed to the user as a new grid
to work on
public final void deleteFrame()
Deletes the current frame and returns to the previous frame.
The method gets the previous grid
from the
ArrayList
and sets it as the active grid
for
the user to work on. it then deletes the grid
the user was
previous on from the ArrayList
.
NOTE: The user is not allowed to delete the first frame. Even if there are frames created after it.
public final char[][] getGrid(int num)
Returns the full grid that the parameter asks for.
num
- The location in the ArrayList
that should be
accessed to retrieve the requested grid
.


Snookes1516.github.io
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Medium intensity earthquake hits Nepal; tremors felt in north India
The epicentre of the quake is in Nepal and it was recorded in 7.01 p.m.
by PTIA medium-intensity earthquake measuring 5.9 hit Nepal on Tuesday, tremors of which were felt across several parts of north India and Delhi, an official said.
The epicentre of the quake is in Nepal and it was recorded in 7.01 p.m., an official of the National Centre for Seismology said.
There were no immediate reports of loss of life or property.


Teamfight Tactics update introduces a new elemental system
by Ian BoudreauGet ready to relearn Teamfight Tactics, because the auto-battler's latest update upends a lot of the established rules and introduces some new elements to the mix. It also marks the end of the beta period and the beginning of season two.
The new elements really are elements, too: In addition to having class and race affinities, Champions now are aligned with one or more elements. These are:
- Crystal (Skarner, Taric, and Ashe)
- Desert (Renekton, Sivir, Azir, Khazix)
- Electric (Ornn, Volibear, Zed)
- Glacial (Warwick, Volibear, Braum, Ezreal, Olaf)
- Inferno (Zyra, Diana, Qiyana, Kindred, Annie, Brand)
- Light (Nasus, Vayne, Jax, Aatrox, Soraka, Yorick)
- Steel (Rek'Sai, Nocturne)
- Mountain (Taliyah, Qiyana, Malphite)
- Ocean (Vladimir, Thresh, Syndra, Qiyana, Nautilus, Nami)
- Poison (Kog'Maw, Dr. Mundo, Twitch, Singed)
- Shadow (Malzahar, Kindred, Veigar, Sion, Master Yi)
- Wind (Yasuo, Qiyana, Janna)
- Woodland (Maokai, Ivern, Neeko, LeBlanc)
Just as with classes, having multiple champions of the same element on the field will confer special bonuses and make your team more deadly in battle. You may notice a few new names in the above list, and that's because Teamfight Tactics has refreshed its roster of champions, removing some old standbys and introducing some newcomers. The board size has increased, going from three rows of seven hexes to four rows.
Patch 9.22 also decreases the number of each champion available in the pool, the idea being to make forced team compositions trickier to complete. Riot says it wants players to have to pay more attention to what their opponents are building, and look for synergies that aren't already taken.
Since all of this is very new, Riot has disabled ranked play until Patch 9.23 is ready to roll.
You can read the full patch notes here.


Find Features
~ Functions for finding Spatial Data
|
|
findCDL()
|
Find Cropland Land Cover Data from the Cropand Data Layer |
|
findGAGESII()
|
Find GAGESII points and basins |
|
findNED()
|
Find National Elevation Data (NED) |
|
findNHD()
|
Find National Hydrography River Networks |
|
findNID()
|
Find Dams in the US Army Core National Inventory (NID) |
|
findNLCD()
|
Find National Land Cover Products (NLCD) |
|
findNLDI()
|
Get NLDI Data |
|
findRoads()
|
Find US Census Bureau TIGER Road Networks |
|
findSSURGO()
|
Find SSURGO Maps and Mapunit Aggregated Attributes |
|
findWaterbodies()
|
Find National Hydrography Dataset Waterbodies |
|
findWaterPoly()
|
Find Water Polygon |
|
findWBD()
|
Find Watershed Boundary Geometries (WBD/HUC) |


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Reports any new expressions which instantiate utility classes.
Utility classes have all fields and methods declared static, and their
presence may indicate a lack of object-oriented design. Instantiation of such classes most likely indicates
programmer error.
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[1]
afterwards i spent some time out on the adjacent sundeck area and found that very appealing.
[2]
some time and a little touristy the views make it a must-see for those new to vancouver.


Mobile Projects
UI Designs
Java Projects
About me
I am a Computer Science major with basic to intermediate knowledge in various programming languages.
I am also a passionate UI designer, skilled in Adobe XD. As a hobby, I enjoy exploring creative design solutions having an open mind to what would work best.
Download ResumeMy Services
I am a passionate UI designer skilled in Adobe XD. As a hobby, I enjoy exploring creative design solutions having an open mind to what would work best.
Learn MoreI am currently undertaking a crush course in developing cross-platform Android and iOS mobile applications using flutter with the dart programming language.
Learn MoreI am an intermediate Java and Java FX developer with comprehensive mastery of most Java packages with their usage in a simple and intuitive way.
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An android-oriented design guidelines created by Google, supporting great user experiences via cue-rich features and natural motions that mimic real-world objects.


@@include('./header.html')
Very Quick Access to Anything
We develop technology solutions that connect people. We believe that anyone should have Quick Access to Anything.
@@include('./partials/solution.html')
@@include('./partials/use-cases.html')
@@include('./partials/showcase.html')
@@include('./partials/team.html')
@@include('./partners.html')
@@include('./footer.html')
@@include('./custom-code.html')


What could be improved in the following code?
let students = ["Bob","Amy","Betty","Bill","Marge","Charlotte","Shawn","Pedro"];
let longestName = function(){
let output = "";
for(let i = 0; i < students.length; i++){
let name = students[i];
if(name.length > output.length){
output = name;
}
}
return output;
}
longestName();
// preference for const
const students = ["Bob","Amy","Betty","Bill","Marge","Charlotte","Shawn","Pedro"];
// Keep array reference within function as parameter (more versatile)
const longestStr = function(arr){
let output = "";
for(let i = 0; i < arr.length; i++){
const str = arr[i];
output = str.length > output.length ? str : output;
}
return output;
}
longestStr(students); // must pass data into fun ction as argument
What is the value of pikachu.health?
const pikachu = {
health: 10,
defense: 5
}
const charmander = {
punch: function(obj){
const damage = 12 - obj.defense;
obj.health -= damage;
}
}
charmander.punch(pikachu);
pikachu.health; // (10 - (12 - 5)) == (10 - 7) == 3
How would you get all divs with a class of "xyz" from the DOM?
const divs = document.querySelectorAll("div.xyz");
Why does the following console.log() print "undefined?"
const URL = "https://some-api.com/api";
let info;
fetch(URL)
.then(r=>r.json())
.then(data=>{
info = data;
})
console.log(info); // undefined
The asynchronous fetch() call does not reassign the "info" variable before the console.log() executes
An events is some notable moment for an element, such as when a user:
Check out all of the events that can occur on a website
An event handler is a callback function that can be assigned to an element to trigger when an event occurs
const button = document.querySelector("button");
button.addEventListener("click",handleClick);
function handleClick(event){
// event is an Event object with information about the event
alert("Don't press me!");
}
In the "mainProject" folder, go into "class_4", and edit the "script.js" file
const button = document.querySelector("button");
button.addEventListener("click",handleClick);
function handleClick(event){
// event is an Event object with information about the event (check it out!)
alert("Don't press me!");
}
This is what we made!
Not all APIs are created equal - there are 3 main ways to access an API
Anyone can use these without needing permission or authentication!
const URL = "http://taco-randomizer.herokuapp.com/random/"; // TacoFancy API
fetch(URL)
.then(response=>response.json())
.then(console.log)
const BASE_API = "https://api.nasa.gov/planetary/apod"; // NASA API
const API_KEY = "YOUR KEY HERE"; // get API key by signing up as a developer
const URL = BASE_API + "?api_key=" + API_KEY;
// "?api_key=" sets a URL parameter (can test this URL in browser directly!)
// parameter name is specified in the documentation
fetch(URL)
.then(response=>response.json())
.then(console.log)
const URL = "https://favqs.com/api/qotd"; // Fav Quotes API
const API_KEY = "YOUR KEY HERE"; // get API key by signing up as a developer
const options = { // can have MANY more options
method:"GET", // GETting response instead of POSTing one
headers: {
"Content-Type" : "application/json", // specifying JSON as returning data type
"Authorization": "Token token=" + API_KEY // specified in documentation
}
}
fetch(URL, options) // notice 2nd parameter!
.then(response=>response.json())
.then(data=>console.log(data.quote))
API Documentation is written by developers to help other developers understand how to use their API
Unfortunately, there is no standard for writing documentation and you will often bump into hard-to-read, outdated, and cryptic documentation
Take 2 minutes to explore the Random User API Documentation
// 100 random users
"https://randomuser.me/api/?results=100"
// 100 female random users
"https://randomuser.me/api/?results=100&gender=female"
// a male from the US
"https://randomuser.me/api/?gender=male&nat=us"
// 10 random users with only their name and cell number
"https://randomuser.me/api/?results=10&inc=name,cell"
A typical pattern you'll see is when the data from one API call provides the information or setup for another API call.
// Random User API
const URL_1 = "https://randomuser.me/api";
// Sunrise and Sunset times API
const URL_2_BASE = "https://api.sunrise-sunset.org/json?date=today";
fetch(URL_1)
.then(response=>response.json())
.then(userData=>{
const name = userData.results[0].name;
const full_name = `${name.first} ${name.last}`;
const coordinates = userData.results[0].location.coordinates;
const lat = coordinates.latitude;
const long = coordinates.longitude;
// Sunrise & Sunset API can accept URL parameters for longitude
// and latitude to get the sunrise and sunset for that location
const URL_2 = URL_2_BASE + "&lat=" + lat + "&lng=" + long;
fetch(URL_2)
.then(response=>response.json())
.then(ss_data=>{
const sunrise = ss_data.results.sunrise;
const sunset = ss_data.results.sunset;
console.log("My name is" + full_name);
console.log("My sunrise was at " + sunrise);
console.log("My sunset will occur at " + sunset);
})
})
Notice the 2nd fetch is WITHIN the first's callback
Find 1 API we didn't use and create a web application allowing users to interact with it. For example:
The possiblities are endless!


Todo
Methods summary
| FOM\UserBundle\Controller\UserController | deleteAction() |
: Delete ACEs for given user |
| Mapbender\CoreBundle\Component\SQLSearchEngine | autocomplete() |
Make like search configurable (exact, left, right, both) |
| Make case invariant configurable | ||
| Limit results | ||
| Mapbender\CoreBundle\Component\SQLSearchEngine | search() |
Make like search configurable (exact, left, right, both) |
| Make case invariant configurable | ||
| Paging |


This is a demonstration of the adhesive.js framework that delivers essential components for integration of AngilarJS with the real world.
Make sure to look into the source code for comments and tutorial, it explains how the project is structured and how the whole application works.
adhesive.js created with developers in mind, it's completely open for any kind of customizations via different patterns, starting with simple configuration to implementation of custom strategies.
Only index module loaded at this point. Click around and see how other modules are being auto-loaded on the fly.


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ML-Agents Toolkit
v0.4
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Welcome to Unity Machine Learning Agents (ML-Agents). More...
Classes | |
| class | Academy |
| An Academy is where Agent objects go to train their behaviors. More... | |
| class | Agent |
| Agent Monobehavior class that is attached to a Unity GameObject, making it an Agent. More... | |
| struct | AgentAction |
| Struct that contains the action information sent from the Brain to the Agent. More... | |
| struct | AgentInfo |
| Struct that contains all the information for an Agent, including its observations, actions and current status, that is sent to the Brain. More... | |
| class | AgentParameters |
| Struct that contains all the Agent-specific parameters provided in the Editor. More... | |
| class | Decision |
| Interface for implementing the behavior of an Agent that uses a Heuristic Brain. More... | |
| class | EnvironmentConfiguration |
| Wraps the environment-level parameters that are provided within the Editor. More... | |
| class | Monitor |
| Monitor is used to display information about the Agent within the Unity scene. More... | |
Welcome to Unity Machine Learning Agents (ML-Agents).
The ML-Agents toolkit contains five entities: Academy, Brain, Agent, Communicator and Python API. The academy, and all its brains and connected agents live within a learning environment (herin called Environment), while the communicator manages the communication between the learning environment and the Python API. For more information on each of these entities, in addition to how to set-up a learning environment and train the behavior of characters in a Unity scene, please browse our documentation pages on GitHub: https://github.com/Unity-Technologies/ml-agents/blob/master/docs/
| struct MLAgents::AgentAction |
Struct that contains the action information sent from the Brain to the Agent.
| Class Members | ||
|---|---|---|
| CommunicatorObjects | customAction | |
| List< float > | memories | |
| string | textActions | |
| float | value | |
| float[] | vectorActions |
| class MLAgents::AgentParameters |
Struct that contains all the Agent-specific parameters provided in the Editor.
This excludes the Brain linked to the Agent since it can be modified programmatically.
| Class Members | ||
|---|---|---|
| List< Camera > | agentCameras | The list of the Camera GameObjects the agent uses for visual observations. |
| List< RenderTexture > | agentRenderTextures | The list of the RenderTextures the agent uses for visual observations. |
| int | maxStep |
The maximum number of steps the agent takes before being done. If set to 0, the agent can only be set to done programmatically (or when the Academy is done). If set to any positive integer, the agent will be set to done after that many steps. Note that setting the max step to a value greater than the academy max step value renders it useless. |
| int | numberOfActionsBetweenDecisions | Number of actions between decisions (used when On Demand Decisions is turned off). |
| bool | onDemandDecision | Whether to enable On Demand Decisions or make a decision at every step. |
| bool | resetOnDone |
Determines the behaviour of the agent when done. If true, the agent will reset when done and start a new episode. Otherwise, the agent will remain done and its behavior will be dictated by the AgentOnDone method. |


Struct rexif::ExifEntry
[−]
[src]
pub struct ExifEntry { pub namespace: Namespace, pub ifd: IfdEntry, pub tag: ExifTag, pub value: TagValue, pub unit: String, pub tag_readable: String, pub value_readable: String, pub value_more_readable: String, }
Structure that represents a parsed EXIF tag.
Fields
namespace | Namespace of the tag. If Standard (0x0000), it is an EXIF tag defined in the official standard. Other namespaces accomodate manufacturer-specific tags that may be embedded in MarkerNote blob tag. |
ifd | Low-level IFD entry that contains the EXIF tag. The client may look into this
structure to get tag's raw data, or to parse the tag herself if |
tag | EXIF tag type as an enumeration. If |
value | EXIF tag value as an enumeration. Behaves as a "variant" value |
unit | Unit of the value, if applicable. If tag is Note that
unit refers to the contents of |
tag_readable | Human-readable name of the |
value_readable | Human-readable, but simple, version of |
value_more_readable | Human-readable and "pretty" version of |


--- layout: post title: MobileGirl hits the nail on date: 2004-12-07 00:00:00 category: mobile ---
MobileGirl hits the nail on the head: "The point here is that the technology is changing the meaning of the artifact".
The thing your phone records is called a photo, and the thing your film camera records is called a photo, but that doesn't mean you should directly compare the two - they're using for very different things.
On top of this I'd expect there to be some change in how photos are used in a mobile context, particularly as network effects kick in...


Cloud Systems project - Distributed Hash Table Network
Chord is a peer-to-peer (p2p) protocol designed to maintain a distributed hash table. It primarily works by having each node in a network maintain a partial set of key-values pairs as well as a list of distributed nodes (known as a finger table) at strategic distributions of the network. It also constantly checks and updates the status of the network to maintain connectivity across potentially unreliable p2p nodes.
For our Cloud and Distributed Systems project, we needed to implement a Chord-based distributed network in Java that establishes and maintains connections using RESTful APIs as well as supports remote shell operation of other nodes via websockets.
Chord network example with finger nodes highlighted from Wikipedia.org
Our project went in three phases. For the first phase we focused on using REST to connect, coordinate, and maintain Chord DHT nodes. Here is an overview of the structure of phase 1:
To implement REST we used the Jersey framework which provides full support for JAX-RS APIs. Each node uses an embedded Grizzly web server to listen for and send REST calls.
Chord's underlying logic relies on the idea of each node maintaining finger tables. These tables contains lists of nodes that are varying powers of 2 away from the current node, which allows you to reach a target node within O(log N) hops from any given node.
Visual representation of node distances that are maintained in a finger table
These tables are maintained by various GET and PUT operations from each node. while GET, PUT and DELETE are used to actually add, update, or remove key value pairs at any given node.
For the 2nd phase we implemented Server-Sent Events (SSE) with Jersey in order to let the CLI from one node register to listen for incoming pushed events such as new or updated key/value bindings from another node. We also had to make sure nodes could fully communicate across independent networks, which meant confirming IP address routing and port usage for all protocols.
For phase 3, we added Websockets to allow a local CLI shell to remotely control a remote CLI shell. The websocket essentially just intercepted data that was being passed between the local CLI and backbend process and instead sends it through the websocket. As an added challenge we needed to maintain a stack of existing websockets to enable us to remember which node we were on before establishing a new websocket remote shell.
This project was a great introduction to many core distributed systems principles. The majority of the issues with implementing it came down to becoming familiar with the APIs and frameworks that we had to use.
| Problem | Analysis | Solution |
|---|---|---|
| RESTful PUT commands kept giving server errors, but only on certain requests | PUT requires an entity to be included with an explicit data type, both server and client must agree on the data format | made sure to explicitly designate what data formats were being sent and received for PUT commands. Also made sure there was always an entity included in the command |
| Websocket remote control was losing context for local shell after closing all remote connections | Connection closing logic was killing entire shell when there were no more valid connections | Added extra CLI logic to handle return to local shell and trying to kill connection of a local shell |


Money Play. Should Red double? If doubled, should White take?
pips Red=53 White=157
(CorrectAnswer= 0/0, ErrorScore= 0)
This is pretty much a standard back game except that Red has already cleared his 5-pt.
Does that make a difference? The simple answer is no. The correct time to double a back game is when you still have three points to clear in front of the defender's front anchor.
Red should double - it is a blunder not to do so - and White should take - dropping is worse than a double blunder.
Does that make a difference? The simple answer is no. The correct time to double a back game is when you still have three points to clear in front of the defender's front anchor.
Red should double - it is a blunder not to do so - and White should take - dropping is worse than a double blunder.
Cube analysis 2-ply cubeless equity +0.560 0.571 0.406 0.019 - 0.429 0.008 0.000 Cubeful equities: 1. Double, take +0.828 2. Double, pass +1.000 (+0.172) 3. No double +0.739 (-0.089) Proper cube action: Double, take