LIVING OUT LOUD A film review by Matt Williams
RATING: * * * out of * * * *
Living Out Loud is a rather unconventional romantic comedy, as if you couldn't tell that by its unlikely leads: Holly Hunter and Danny DeVito. However, with strong characters and an unusual storytelling style, it slowly manages to win us over.
Holly Hunter stars as Judith Nelson, the recently divorced wife of a New York City doctor (Martin Donovan). After her husband leaves her for another woman, Judith is left alone in her high-rent apartment.
She unexpectedly strikes up a friendship with her building's elevator operator, Pat Francato (Danny DeVito). Drawn together by a shared sense of loss, the two discover sense of mutual respect. Pat has dreams of his own: he wants to start an imported olive oil business, but he is saddled with gambling debts and low self esteem. The attentions of a beautiful woman like Judith spark dreams he thought long dead...but her intentions are completely elsewhere.
A third character who enters into their lives is Liz Bailey (Queen Latifah), a blues singer who becomes an unexpected friend and confidante to Judith, and later, Pat.
The movie unfolds in an unconventional way, allowing us to listen in on rambling thoughts, cluttered memories and imagined dreams. The film keeps the audience off guard with sequences that seem to be real, but are shown to be dreams, and sequences that seem to be dreams, but are shown to be real. There's a moment, early on, when the style threatens to overpower the film with its confusion...but it is fleeting. In the long run, the unpredictability of the structure adds to the film's charms.
The biggest strength of Living Out Loud is its characters. Judith, Pat and Liz are all wonderful creations. They bristle with life and realism. You get the feeling that these are real people...not just flat characters quickly jotted down on a page.
However, even amid the vivid characters and quirky storytelling, there's something that's not quite satisfying about Living Out Loud. Yes, the storyline seems to flow naturally, and the characters all act as they reasonably should. However, many scenes are quickly hurried in and out, leaving you wanting more. In a way, the film seems like an all-too-brief affair.
Living Out Loud does have plenty of good moments, and overall it is an enjoyable film to watch. A film that leaves you wanting more is certainly better than the opposite.
Copyright 1998 Matt Williams
- Matt Williams<EMAIL_ADDRESS>Reviewer for Cinematter: http://www.cinematter.com Home of over 650 reviews, and information on nearly 700 upcoming releases
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


Order your pizza below:
Select the size
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Choose toppings($2 each):
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Fans stunned as Simon Cowell saves Vinnie Jones in X Factor: Celebrity
Vinnie had tried to step down from the contest
by Carena CrawfordVinnie Jones offered to step down from The X Factor: Celebrity tonight (Saturday November 16) after landing in the bottom two.
But Simon Cowell refused to let him leave and instead sent home Kevin McHale.
Vinnie faced the former Glee star in the sing off.
But once the two had performed, Vinnie insisted on speaking directly to the judges before they voted.
He said: "I've had a fantastic time, I've really enjoyed it, it's been everything I needed since my wife passed.
"This guy is a fantastic singer, I think he can win it, for his career, I would like to step down."
But Simon insisted on having the final say and with both him and Vinnie's mentor Nicole Scherzinger opting to save Vinnie, Kevin's time in the competition was over.
Simon said the last person he wanted to argue with was Vinnie, but he was willing to take the risk to keep him in the show.
Kevin took the news well, and said everyone had done brilliantly tonight.
Fans at home were shocked at the turn of events - with many insisting Simon was in the wrong not letting Vinnie leave graciously, and slammed him for making the show a joke.
Earlier in the evening, viewers were left divided over Megan McKenna's performance.
The former TOWIE star has been the runaway favourite week after week, performing beautiful self-penned songs and wowing both the public and the judges.
But as she took to the stage to sing another ballad she had written herself, fans were left torn.
While many insisted she was their winner, others felt it was a bit repetitive.
Read more: Thom Evans on sex ban during X Factor: Celebrity
In fact, Nicole also agreed and said although the performance and vocals were stunning, she was hoping Megan would do something a bit more uptempo.
Simon told her the performance was "as good as week one", but that he also wanted to see her more whacky side.
In response, Megan said: "I can do uptempo, but I love to sing songs from my heart and put everything into it."
Elswhere, fans hit out at the new format after the safe seats were ditched when Simon said the public didn't like them.
And the star guest performer, Lizzo, took to the stage at the start of the show rather than halfway through.
Viewers were also furious with the first ad break coming just SIX minutes in, with many hitting out at the format overall.
Read more: Anton Du Beke gets first ever 10s on Strictly
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think!


TITLES, SUBTITLES; CONSTRUCTION
Section 14. Titles and subtitles shall not be used for purposes of construing this constitution. [Ren Const Con 1968 and election Nov5, 1968; ren and am Const Con 1978 and election Nov7, 1978]
Note
A proposal of the 1978 Constitutional Convention deleted a second paragraph which read: "Whenever any personal pronoun appears in this constitution, it shall be construed to mean either sex." This deletion appears to be one of the unspecified changes submitted for ratification under Question 34. On whether any of the changes submitted under Question 34 was in fact approved by the electorate, see Kahalekai v. Doi, 60 H. 324, 590 P.2d 543, excerpted in the note preceding the Preamble to the Constitution.
Case Notes
Words of constitution presumed to be used in their natural sense. 44 H. 159, 352 P.2d 861.
Clear and unambiguous provisions are construed as they are written. 51 H. 1, 449 P.2d 130.


The Outcomes
Congratulations to the 2019 App Challenge winners, and well done to all the teams!
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[[item.title]]
[[item.title]]
[[item.country]]
[[item.description]]


Introduction
-
Activation Function : is a function to induce non-linearity into the output of the neuron for the given input.
-
Non-Linearity : Functions that do not satisfy the following linearity.
- $ f(x+y) = f(x)+f(y), \quad f(\alpha x) = \alpha f(x)$
-
Why Non-Linearity ? : because composites of linear functions are linear again
-
if output $f(x)$ of neuron is linear form like $wx + b$,
-
Even if the depth of the layer increases, it is just modeling another linear function $f(f(f(..(x)) = w’x+b'$
-
-
Role of bias : It’s similar to the constant b of a linear function y=ax+b. It allow you to move the line up and down to fit the prediction with the data better.
- Without $b$, the line always goes through the origin (0,0) and you may get a poorer fit.
-
1. Sigmoid / Logistic
-
Advantages :
-
Smooth gradient : preventing “jumps” in output values
-
Clear predictions : for $x$ above 2 or below -2, output tends to be at the edge of the curve, very close to 0 or 1.
-
-
Disadvantage:
-
Vanishing gradient : for very high or low values of X, there’s no change to the prediction, causing a vanishing gradient problem. This can result in the network being too slow to reach an accurate prediction.
-
Outputs not zero centered
-
Computationally expensive
$$ \sigma (x) = (1+e^{-x})^{-1} \ \sigma’(x) = \sigma(x) (1-\sigma(x)) $$
-
2. Tan H
-
Properties :
-
Zero Centered : make it easier to model inputs that have strongly negative,neutral, and strongly positive values
-
Same with Sigmoid funtion
$$ tanh(x) = \frac{sinh(x)}{cosh(x)}=\frac{e^x-e^{-x}}{e^x+e^{-x}} \ tanh’(x) = 1 - tanh^2(x) $$
-
3. ReLU (Rectified Linear Unit)
-
Advantages :
-
Computationally efficient : allows the network to converge very quickly
-
Non-Linearity: although it looks like a linear function, ReLU has a derivate fuction and allows for backpropagation.
-
-
Disadvantage:
- Dying ReLU : when inputs approach zero, or are negative, the gradient of the function becomes zero, the network cannot perform backpropagation and cannot learn.
$$ ReLU = \begin{cases} :x :: (x>0) \\ 0 :: (x<0) \end{cases} $$
4. Leaky ReLU
-
Properties :
- alleviate Dying ReLU : To resolve dying ReLU problem, leaky ReLU has non zero outputs with negative input, thus the gradient does not become zero.
$$ \text{Leaky ReLU} = \begin{cases} :x :: (x>0) \\ 0.01x :: (x<0) \end{cases} $$
5. ELU (Exponential Linear Units)
-
Properties :
-
alleviate Dying ReLU : To resolve dying ReLU problem, ELU has non zero outputs with negative input, thus the gradient does not become zero.
-
more computation : ELU has exponential function that ReLU doesn’t have, thus it costs bit more than ReLU.
$$ \text{Leaky ReLU} = \begin{cases} :x :: (x>0) \\ \alpha(e^x -1) :: (x<0) \end{cases} $$
-
6. Swish (Scaled Exponential Linear Units)
-
Properties :
-
Unboundeness : Unlike sigmoid and Tanh functions, Swish is unbounded above which makes it useful near the gradients with values near to zero. This feature avoids saturation as training becomes slow near zero gradient value.
-
Smoothness of the curve : plays an important role in generalization and optimization. Unlike ReLU, Swish is a smooth function which makes it less sensitive to initializeing weights and learning rate.
-
Bounded Below : Like most of the activation functions out there, Swish is also bounded below which helps in strong regularization effects. Like ReLU and softplus, Swish produces negative outputs for small negative inputs due to its non-monotonicity. The non-monotonicity of Swish increases expressivity and importves gradient flow, Which is important considering that many preactivation fall into this range.
$$ Swish = x * sigmoid(x) = x * (1+e^{-x})^{-1} $$
-
6. SELU (Scaled Exponential Linear Units)
-
Properties :
-
Similar to ReLUs, SELUs enable deep neural networks since there is no problem with vanishing gradients.
-
In contrast to ReLUs, SELUs cannot die
-
SELUs on their own learn faster and better than other activation functions, even if they are combined with batch normalization
$$ selu = \lambda \begin{cases}x :: (x>0) \ \alpha(e^x-1) :: (x<0) \end{cases} $$
-
6. Soft-argmax
-
To get the position where the intensity is maximal in a vector, we usually use an argmax func. But the problem is, this func has no derivative.
$$ Softmax(x) = \frac{e^{x_i}}{\sum_j e^{x_j}} $$
-
Using Sofmax, we get normalized probabilities for each $x_i$, and the expectation of this is the sum of the indices multiplied by their respective probabilities
$$ \mathbb{E[x]} = \sum_i \frac{e^{x_i}}{\sum_j e^{x_j}} i $$
-
However, this mean value is weak if there’s multiple modes. To raise the max and lower the others, we can multiply $x$ by an arbitrarily big $\beta$.
$$ \mathbb{E[x]} = \sum_i \frac{e^{\beta x_i}}{\sum_j e^{\beta x_j}} i $$
def soft_arg_max_khw(A, dim=1):
A_softmax = torch.softmax(A, dim=dim).cuda()
indices = torch.arange(start=0, end=A.size()[dim]).float().cuda()
return torch.matmul(A_softmax, indices).cuda()


Commands can be associated with a double-click of the mouse in three different areas of a HexEdit Pro window: the main hex area, the character area to the right of the hex area (if shown) and the address area to the left of the hex area
To customize a double-click event: select the area in the list on the left, select the “Associate double-click event with” radio button and select the command from the list.
By default double-clicking in the hex and character areas sets the mark position. Double-clicking in the address area selects the current line. You should reassign these to commands you use frequently. For example, you may like to change the address area double-click to toggle between hex and decimal addresses.
View
Select an area from the "View" list to associate a mouse double-click event with.
|
View |
Double-click Area |
Default Action |
|
Address Area |
Double-click in address area |
Select all bytes on the line |
|
Bookmark |
Double click a bookmark in any area |
Open Bookmarks dialog |
|
Character Area |
Double click in character area or top line in stacked view |
Move mark to selected byte |
|
Hex Area |
Double click in hex area or 2nd/3rd line in stacked view |
Move mark to selected byte |
|
Highlight |
Double click highlighted bytes in any area |
Select the highlighted bytes |
No double-click event
Select this to have the mouse double-click event do nothing.
Associate double-click event with
Click this to associate a double click (in the area selected in the list on the left) with a particular command, then select the command from the list below.


This week we learned about Enumerable Methods in Ruby and how we can use them effectively. This week, I was able to use the .map method and I'll explain how and why you would use this method.
But first, what are Enumerables? Enumerables are "modules", which in simple terms means that it is a bundle of methods packaged as one that can be mixed in with other classes (like arrays and hashes). As long as that class has its own #each method, the enumerable can use that to iterate on all of it's inputs.
So, now what does .map do? It's actually the exact same in function to the .collect enumerable method. What collect and map do is that they run your block of code that you want to use to change your inputs and gives you another object filled with the results.
Here's a simple example:
my_array = [1,5,7]
my_array.map{|num| num + 2}
=> [3,7,9]
We are passing the array of [1,5,7] and adding 2 to each of those numbers through our block {|num| num + 2}. Then the map enumerable method allows us to have a new object with all of the outputs. In this case, it spits out another array with [3,7,9].


{{ define "main" }}
We build tools to help Shopify stores improve their marketing and increase sales.
{{ .Date.Format "January 2, 2006" }}
This is an example of a summary. There should be like 3-4 sentences. Just gives the reader something to skim.
Get updates whenever we publish
No spam, ever.


Photo: Alabama Players Visit Tua Tagovailoa In The Hospital
by Tzvi MachlinTua Tagovailoa suffered one of the scariest injuries a player can suffer yesterday. He dislocated his hip in a manner that ended the football career of the great Bo Jackson.
But as heartbreaking as it was to see their leader go down, the Alabama players have made it clear how much they care about him.
On Sunday morning, Alabama defensive lineman Phidarian Mathis shared a photo of himself and teammate Raekwon Davis visiting Tagovailoa in the hospital.
Tagovailoa, from his hospital bed, looked to be in good spirits and happy to see his teammates.
Tagovailoa was injured late in the second quarter of the Tide’s game against Mississippi State. Head coach Nick Saban has taken a ton of heat for letting his Heisman-caliber quarterback stay in the game with a 38-7 lead.
Alabama will now be forced to make their College Football Playoff push with backup Mac Jones. They’ll have a laugher against Western Carolina next week before the crucial Iron Bowl game against Auburn.
If nothing else, it seems clear that Alabama will be dedicating the rest of the season to Tua’s quick recovery.
Get well soon Tua!


I analyse signatures left by population dynamic processes and selective pressures in pathogen genomes. These signatures contain important information about the spread and adaptation of infectious diseases. In particular, I am interested in the potential of phylodynamic methods to produce rapid and accurate inferences of key epidemiological parameters and inform public health policy during emerging and re-emerging infectious disease outbreaks. I further aim to identify scenarios where current methods fail when confronted with the biases inherent in real-world data and develop new methods that are robust to such biases. I am also interested in developing methods for total-evidence epidemiological inferences, combining different types of data (such as genomic and surveillance data) in an integrated framework. Finally, I am interested in finding ways to better visualise and communicate results to both scientists and non-scientists alike.


--- layout: default --- Filmography “The director of a film is the ringmaster of a circus inventing itself” - Francis Ford Coppola Ethnography “It's turtles all the way down” - Clifford GeertzThe Interpretation of Cultures
“The director of a film is the ringmaster of a circus inventing itself”
“It's turtles all the way down”


Installation¶
Clone and install the repository with:
git clone https://github.com/NIRISS/CARBS.git cd CARBS python setup.py install
# Dependencies
[dense_basis](https://dense-basis.readthedocs.io/en/latest/)
[grizli](https://grizli.readthedocs.io/en/master/)
## dense_basis dependencies:
[FSPS](https://github.com/cconroy20/fsps) and [python-fsps](http://dfm.io/python-fsps/current/installation/) - needs .bashrc environmental variable.
astropy, scikit-learn and george. See the full list [here](https://dense-basis.readthedocs.io/en/latest/usage/dependencies.html).
## grizli dependencies:
[installation instructions](https://grizli.readthedocs.io/en/master/grizli/install.html) / astroconda
psycopg2
astropy>=3.0
scikit-image>=0.13.0
scikit-learn>=0.19.0
yaml>=0.1.7
pyyaml>=3.12
nose>=1.3.7
cython>=0.28.2
astroquery>=0.3.7
photutils>=0.4
pyregion>=2.0
crds>=7.1.5
drizzlepac>=2.2.2
hstcal>=2.0.0
pysynphot>=0.9.12
stwcs>=1.4.0
wfc3tools>=1.3.4
shapely>=1.6.4
descartes>=1.0.2
boto3>=1.7.51
peakutils>=1.0.3
extinction>=0.3.0
specutils==0.2.2
git+https://github.com/gbrammer/sep.git
git+https://github.com/gbrammer/pyia.git
git+https://github.com/gbrammer/reprocess_wfc3.git
git+https://github.com/gbrammer/eazy-py.git
git+https://github.com/gbrammer/tristars.git
git+https://github.com/gbrammer/mastquery.git
Put these lines in ~/.bashrc:
export SPS_HOME = “${HOME}/fsps/src” # or anywhere else export GRIZLI=”${HOME}/grizli” # or anywhere else export iref=”${GRIZLI}/iref/” # for WFC3 calibration files export jref=”${GRIZLI}/jref/” # for ACS calibration files
# Make the directories, assuming they don’t already exist mkdir $GRIZLI mkdir $GRIZLI/CONF # needed for grism configuration files mkdir $GRIZLI/templates # for redshift fits
mkdir $iref mkdir $jref


At the moment there are some known limitations that will be pointed out in this chapter.
As already mentioned, the Console Logger for Windows cannot be used on platforms other than Windows. The reason behind, this logging writer uses functions of the Win32–API directly. These functions are not available on other platforms.
It is no longer required that the path of a provided filename must exist. But a process must still have write access to the existing parent directory.
All scopes defined by calling method BeginScope()
are limited to one and the same
logger instance. Furthermore, scopes of type IEnumerable
are not (yet) supported.


《过故人庄》 孟浩然
故人具鸡黍，邀我至田家。
绿树村边合，青山郭外斜。
开轩面场圃，把酒话桑麻。
待到重阳日，还来就菊花。
Visiting
an
Old
Friend's
Cottage
Meng
Haoran
An
old
friend
has
prepared
chicken
and
food
And
invited
me
to
his
cottage
hall.
The
village
is
surrounded
by
green
wood;
Blue
mountains
slant
beyond
the
city
wall.
The
window
opened,
we
face
field
and
ground,
And
cup
in
hand,
we
talk
of
crops
of
grain.
When
the
Double
Ninth
Festival
comes
round,
I
will
come
for
chrysanthemums
again.


IPAM
Dashboard
Network
IP Manager
Hostname Manager
Add IP Block
IP Calculator
Administrator
Logged in as Admin
Profile
Log Out
Reserve
Release
Area
Site Name
Tower Index
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OAM
Before
After
Before
After
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VLAN
Cap
IP Address
IP Gateway
Subnet
Host Name
Router Name
VLAN
Cap
IP Address
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Host Name
Router Name
VLAN
Cap
IP Address
IP Gateway
Subnet
Host Name
Router Name
VLAN
Cap
IP Address
IP Gateway
Subnet
Jabodetabek
MA-JK0129-01
0129 Sadewa Bekasi
341PL216G_SIU
201
201
<IP_ADDRESS>
<IP_ADDRESS>
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1001
1001
<IP_ADDRESS>
<IP_ADDRESS>
<IP_ADDRESS>
a
Filter
All
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By Tower Index
All
<IP_ADDRESS>
<IP_ADDRESS>
<IP_ADDRESS>
By Gateway
All
Available
Reserved
Active
By Status
All
1 day ago
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By Last Updated
Submit
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Edit IP Address
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Site Name
Phase
BSC/RNC/LTE
HUT
Microwave
Abis/IuB/S1
Cap (Kbps)
VLAN
OAM
Cap (Kbps)
VLAN


OPPO Announces ColorOS 7 With Video Editor, Performance Boost & More
OPPO has announced ColorOS 7, a brand new version of its Android UI. The company has made this announcement in China, and the global variant is expected to differ a little bit. Some China-exclusive additions will not be included, but for the most part, this is what you'll get on a global scale.
In addition to announcing the new version of its UI, OPPO also announced what devices will be getting it, and when. We'll talk about that a bit later, though. Let's just straight to changes, shall we.
ColorOS 7 brings new icons, improved live wallpapers, a voice assistant & more to OPPO / realme devices
OPPO brings quite a few changes with ColorOS 7. This update comes with refreshed icons, which now look even simpler. They are also lighter in terms of the design. These icons are adaptive, and OPPO says they're supposed to provide a 'natural experience' to users.
Advertisement
ColorOS 7 also introduces 'Art + Project', as part of which this update delivers various different styles of art+ wallpapers you can choose from. OPPO has improved live wallpapers as a part of this project. You'll now get access to various different types of live wallpapers, which can respond to fingertips, animate with gestures, and so on.
This new update also brings improvements to the camera department. OPPO added something called 'Polar night mode'. That is a self-developed image enhancement algorithm, which comes with multi-frame noise reduction. Polar night mode is expected to produce "clear and textured image" in low light conditions.
'Soloop' is yet another feature that OPPO added. This is a video editing assistant, basically. It can scan for good clips, and once it finds them, it can make some interesting videos for you, says OPPO.
Advertisement
The 'Breeno Voice' assistant has also been added in this update. This is a voice assistant, as you may have guessed. OPPO says that this voice assistant understands complex instructions, and is supposed to help you with your daily smartphone usage.
This update offers a 40-percent improvement in RAM utilization
ColorOS 7 also brings various performance-related improvements. OPPO says that it can boot up 25-percent faster, while it also offers a 40-percent improvement in RAM utilization. Improved gaming performance is also included.
This update will bring 'Focus mode' on your OPPO / realme handset as well. This is essentially OPPO's alternative to the Zen Mode that comes on OnePlus devices.
Advertisement
'Half-screen' is a feature that enables the interface to show cards in the bottom part of the display. The driving mode has also been added, as has Sleep mode. The three-finger screenshot gesture from OnePlus devices is also a part of this update, as is 'Password Book'. Various other smaller additions are included.
Devices will start getting ColoroS 7 beta on November 25 in China. The first in line are the OPPO Reno, Reno 10x zoom, and Reno Ace. The Reno 2 will follow in December, while the Reno 2Z, Z, Find X, R17, R17 Pro, and K5 will follow in Q1 2020. Realme devices will start getting this update from February 2020, starting with the realme X and realme X Young Edition.
The global launch of ColorOS 7 will take place in India on November 26. The company confirmed that quite recently. Once that happens, we'll get far more info regarding the rollout of the global variant of ColorOS 7, and what changes in terms of features can we expect.
Advertisement


United States 4-1 Canada: USA secure payback in Nations League
After a remarkable 2-0 loss in Canada last month, the United States bounced back in Orlando on Friday.
USA were bullied and outclassed 2-0 by Canada last month as they fell to their first loss to the country’s rivals since 1985.
But USA secured payback thanks to a three-goal first half in Orlando on Friday – Jordan Morris, Gyasi Zardes and Aaron Long all on target.
Canada defender Steven Vitoria pulled a goal back in the 72nd minute, but Zardes restored USA’s three-goal advantage late on.
The United States were without star Christian Pulisic due to a hip injury, while Michael Bradley and goalkeeper Zack Steffen also sat out the Nations League fixture.
However, it mattered little as USA struck inside two minutes through Morris, who reacted quickest after the ball fell to his feet and the Seattle Sounders forward made no mistake from close range.
Morris was in the thick of the action again in the 23rd minute, when USA broke and he received the ball on the edge of the area before slicing a cross to Zardes for a header past Milan Bojan.
Canada had some spells of possession, but they simply had no answer to USA, who made it 3-0 by the 34-minute mark after a curled free-kick found Long and the defender headed into the bottom corner of the net.
Sergino Dest, who opted to represent USA rather than Netherlands, almost made it 4-0, however, the Ajax full-back’s shot flashed just wide of the post.
The second half was a tighter affair, with USA’s Sebastian Lletget going closest to adding to the scoreline 10 minutes after the restart.
Brad Guzan did not have much to do throughout, until the USA keeper was forced into a fine fingertip save with 19 minutes remaining before watching Vitoria head the ball into the net moments later.
USA, though, had the final say after Zardes fired a shot past Bojan at the death at Exploria Stadium.
What does it mean? Destiny in USA’s hands
Pressure was on Gregg Berhalter and his side pre-game. However, the United States ensured destiny remains in their own hands. USA’s path to the knockout stage is simple – win their final match and achieve a superior goal differential over Canada, who top Group A on nine points.
Morris stars for USA
The 25-year-old has established himself on the international stage and he further showcased his all-round game against Canada. After scoring his ninth international goal, Morris produced a brilliant blend of pace and skill to tee up Zardes before half-time.
Davies unable to inspire Canada
Alphonso Davies and his team-mates made a statement against USA last time out. However, the Bayern Munich sensation was kept quiet in Florida. Davies, though, was involved in an interesting moment prior to the interval. The 19-year-old kicked the ball to himself and headed it to goalkeeper Bojan in an attempt to mask a backpass, but he was penalised and USA were awarded an indirect free-kick just outside the six-yard box.
What’s next?
USA are back in action away to Cuba on Tuesday, while Canada will await other results having already played their four Nations League fixtures.


Homematic RPC adapter settings
HomeMatic Address
Adapter Address
Adapter Callback Address
Daemon
rfd
Virtual Devices
hs485d
CUxD
HomeMatic IP
Homegear
HomeMatic Port
HomeMatic Path
Protocol
XML-RPC
BIN-RPC
Adapter Port
Check communication interval (sec)
Reconnect interval (sec)
Force objects re-init
Don't delete devices


All modules are stored in this folder. Modules follows this convention:
If you are editing a module, change the config.json and .scss file. If you need to change the HTML and structure of a module, change the .handlebars file.
More on how to create a module coming soon.


from stable_baselines3 import DQN
# SAC, TD3, TQC are all successors of DQN
from stable_baselines3 import SAC, TD3
from sb3_contrib import TQC
# Instantiate the algorithm on the Lunar Lander env
model = DQN("MlpPolicy", "LunarLander-v2", verbose=1)
# Train for 100 000 steps
model.learn(100_000, progress_bar=True)
Raffin et al. "Learning to Exploit Elastic Actuators for Quadruped Locomotion.": https://github.com/araffin/sbx
How good is it to be in this state?
Win: 1.0 | Draw: 0.5 | Lose: 0.0
Depends on the state
Depends on the policy
Source: Freek Stulp - Master AIC
What if we have no model?
Solution: $Q_\pi(s, a)$ instead of $V_\pi(s)$
\[\begin{aligned} \pi(s) = \argmax_{a \in A} Q_\pi(s, a) \end{aligned} \]
Bellman equation for optimal value function:
Q-learning update rule
$\alpha=1$ (learning rate)
$\textcolor{#1864ab}{Q_\theta(s_t, a_t)}$ depends on $\textcolor{#a61e4d}{Q_\theta(s_{t+1}, a')}$...
What can we do about it?
Iterate! Use $Q^{\textcolor{green}{n}}_\theta(s_t, a_t)$
initial_targets = rewards
# Initial Q-value estimate
qf_input = np.concatenate((states, actions))
qf_model.fit(qf_input, initial_targets)
for _ in range(N_ITERATIONS):
# Re-use Q-value model from previous iteration
# to create the next targets
next_q_values = get_max_q_values(qf_model, next_states)
# Non-terminal states target
targets[non_terminal_states] = rewards + gamma * next_q_values
# Special case for terminal states
targets[terminal_states] = rewards
# Update Q-value estimate
qf_model.fit(qf_input, targets)
https://gymnasium.farama.org/environments/classic_control/cart_pole/
import gymnasium as gym
# Create the environment
env = gym.make("CartPole-v1", render_mode="human")
# Reset env and get first observation
obs, _ = env.reset()
# Step in the env with random actions and display the env
for _ in range(100):
env.render() # Display the env
action = env.action_space.sample()
# Retrieve new observation, reward,
# termination signal, truncation signal
# and additional infos
next_obs, reward, terminated, truncated, info = env.step(action)
# Update current observation
obs = next_obs
# End of an episode
if terminated or truncated:
obs, _ = env.reset()
# Retrieve q values for the current observation
q_values = q_model(current_obs)
# Follow greedy-policy:
# take the action with the highest q_value
action = np.argmax(q_values)
# Do one step in the env
next_obs, reward, terminated, _, _ = env.step(action)
# Store transition in the replay buffer
replay_buffer.store(obs, action, reward, terminated, next_obs)
# Flip a biased coin
take_random_action = np.random.rand() < exploration_rate
if take_random_action:
# Random action
action = action_space.sample()
else:
# Greedy action
action = np.argmax(q_values)
| NumPy | PyTorch |
|---|---|
np.array([[1, 2], [3, 4]]) |
th.tensor([[1, 2], [3, 4]]) |
np.ones((2, 3)) |
th.ones(2, 3) |
np.concatenate |
th.cat |
x.shape |
x.shape |
x.argmax(axis=...) |
x.argmax(dim=...) |
x.item() |
x.item() |
| NumPy to PyTorch: | th.as_tensor |
import numpy as np
from sklearn.linear_model import LinearRegression
# Generate some data (noisy linear function)
x = np.linspace(0, 5, num=50).reshape(50, 1)
y = 2 * x + 10 + 0.1 * np.random.rand()
# Fit a linear model using least squares
model = LinearRegression().fit(x, y)
y_predict = model.predict(x)
# Retrieve the optimized parameters
slope, bias = model.coef_, model.intercept_


CADISHI compute kernels¶
The following documentation was automatically generated from the docstrings present in the source code files.
cadishi.kernel¶
Cadishi distance histogram kernels.
cadishi.kernel.common¶
Common code used by the Cadishi kernels pydh and cudh.
cadishi.kernel.dist¶
dist Python interface to c_dist.
Initial implementation of the distance histogram computation using Cython. Legacy code, do not use for production. This code is only used by the test suite to compare the results of (small) problems between the kernels.
-
cadishi.kernel.dist.
histograms
(coordinate_sets, r_max, n_bins)[source]¶ Distance histogram calculation on the CPU using Cython kernels.
Calculate histograms from sets of species coordinates by calling the pwd() and pwd2() CPU functions from the Cython dist_knl. Serves as the reference implementation for the pydh and cudh packages.
Parameters: - coordinate_sets (list of numpy.ndarray) – List of numpy arrays where each numpy array contains the atom coordinates for all the atoms of a species.
- r_max (float) – Cutoff radius for the distance calculation.
- n_bins (int) – Number of histogram bins.
Returns: Two-dimensional numpy array containing the distance histograms.
Return type: numpy.ndarray
cadishi.kernel.pydh¶
pydh Python interface.
Calls the c_pydh Python module.
-
cadishi.kernel.pydh.
distances
(coordinates, precision='single', box=[], force_triclinic=False)[source]¶ Driver for the distance calculation functions.
-
cadishi.kernel.pydh.
histograms
(coordinate_sets, r_max, n_bins, precision='single', n_threads=1, blocksize=0, check_input=True, scale_factors=[], mask_array=[], box=[], force_triclinic=False, do_histo2_only=False, verbose=False)[source]¶ Distance histogram calculation, Python interface.
This function is the entry point to run distance histogram calculations from Python on the CPU.
Parameters: - coordinate_sets (list) – list of double precision numpy arrays [N, 3] containing coordinate triples
- r_max (float) – maximum distance that should be considered for the histograms
- n_bins (int) – number of histogram bins
- precision (string, optional) – String indicating the precision to be used, “single” (default) or “double”
- n_threads (int, optional) – Number of CPU (OpenMP) threads to be used for the computation, default 1.
- blocksize (int, optional) – Size of the blocks used to optimize cache usage in units of coordinate tuples. Values around 230 are best to optimize for a L2 cache size of 256 kb. Possible values are: ‘-1’ to disable cache blocking and use naive (old) kernels, ‘0’ to enable blocking and use internal logic to determine the block size (recommended), and positive values to set the block size manually (not recommended, only useful for performance exploration). Note that cache blocking is disabled internally for bin numbers larger than 48000.
- check_input (bool, optional) – Check the input, i.e. check it the distances fit into the histogram window defined by r_max. Harms performance to some degree but avoids potential memory corruption in case of bogus input. Default is ‘True’.
- scale_factors (array-like, optional) – Array of floats used to rescale individual histograms after computation.
- mask_array (array-like, optional) – Array of integers to mask the computation of certain histograms, where ‘0’ indicates that a histogram is skipped. Internal default is all ‘1’.
- box (array-like, optional) – Periodic box specification. Default is none.
- force_triclinic (bool, optional) – Use the triclinic box implementation also for simpler orthorhombic boxes. Default is ‘False’.
- do_histo2_only (bool, optional) – Perform only the inter-species computation in case 2 species are given. Useful for debugging and performance optimization, default is ‘False’.
- verbose (bool, optional) – Be verbose about internal states during computation. Default is ‘False’.
Returns: Column 0 contains the radii, other columns contain the histograms.
Return type: NumPy array, double precision
cadishi.kernel.cudh¶
cudh Python interface.
Calls the c_cudh Python module.
-
cadishi.kernel.cudh.
get_num_cuda_devices
()[source]¶ Get the number of available NVIDIA devices, using the CUDA API.
-
cadishi.kernel.cudh.
get_num_devices
()[source]¶ Get the number of available NVIDIA devices.
We do not use the function “c_cudh.get_num_devices()” because it is not allowed to fork and use CUDA in processes after a first CUDA call, which would be the case in <histograms.py> (and was hard to figure out).
-
cadishi.kernel.cudh.
histograms
(coordinate_sets, r_max, n_bins, precision='single', gpu_id=0, do_histo2_only=False, thread_block_x=0, check_input=True, scale_factors=[], mask_array=[], box=[], force_triclinic=False, verbose=False, algorithm=-1)[source]¶ Distance histogram calculation on NVIDIA GPUs using CUDA.
Calculate distance histograms for sets of species coordinates by calling the CUDA kernels that are provided by the Python module c_cudh written in CUDA.
Parameters: - coordinate_sets (list of numpy.ndarray) – List of numpy arrays where each numpy array contains the atom coordinates for all the atoms of a species.
- r_max (float) – Cutoff radius for the distance calculation.
- n_bins (int) – Number of histogram bins.
- precision (string, optional) – String specifying the implementation and/or the precision. “single” is the default value for single precision, use “double” for double precision.
- gpu_id (int, optional) – The GPU to be used to calculate the histograms. 0 is the default value.
- do_histo2_only (bool, optional) – In case only two sets of coordinates are given, calculate only the distance histogram between the species sets. For benchmark purposes only.
- thread_block_x (int, optional) – Manually set the CUDA thread block size (x), overrides the internal default if set to a value larger than zero. For benchmark and debugging purposes.
Returns: Two-dimensional numpy array containing the distance histograms.
Return type: numpy.ndarray


2 New SAGA Features
The incremental gradient method SAGA (Defazio, Bach, and Lacoste-Julien 2014) used in sgdnet now supports two recently proposed methods for performance enhancement, they are C-SAGA (Park and Ryu 2018) and mini-batch SAGA (Gazagnadou, Gower, and Salmon 2019), as well as adding observation weights.
2.1 C-SAGA
C-SAGA has the same algorithmic structure as SAGA, except for that the choice of gradient is cyclic rather than random, which could benefit from cache locality for a certain size of feature matrix. Considering the problem size and cache size, user can enable it by setting cyclic = TRUE
in sgdnet()
function, which is FALSE
by default.
2.2 Mini-batch SAGA
The JackSketch version of b-nice SAGA will sample a fresh batch without replacement at each iteration. Then use this batch of gradients to update the estimation of average gradient and the gradient table. Compared with original saga, we could have a look at mini-batch’s implementation in sgdnet
y response vector of size n
X a columnwsie p by n feature matrix
B batch size
beta vector of coefficients of size p
g_avg gradient average
max_iter maximum number of outer iterations
eta the step size
epoch = floor(n_samples/B)
for i in 1:max_iter
# a index matrix of B by epoch size
ind <- Ind(n_sample, B)
for k in 1:epoch
X_batch <- X[ ,ind[,k]]
# Compute a matrix of conditional mean given x_batch
E[X] <- DotProduct(beta, X_batch)
# Compute a matrix of new gradient
g_batch <- Gradient(E[X], y)
g_change <- g_memory[ ,ind[,k]] - g_batch
# Update gradient table
g_memory[ ,ind[,k]] <- g_batch
# The gradient average step
step <- Step(g_change, X_batch)
beta <- beta - (step/B)*eta - eta*g_avg
# apply penalty
Penalty(beta, eta)
# Update gradient average
g_avg <- g_avg + rowSums(g_change)/n_samples
# Check convergence
if (MaxChange(beta)/Max(beta) < thresh)
stop # algorithm as converged
To use mini-batch version of saga, user could set batchsize
variable to any integer that less than sample size in sgdnet()
function, which is set to 1 by default.
2.3 Simulated data
Here is a benchmark (R Sript) with artificial data of size 100 to illustrate C-SAGA and mini-batch SAGA’s features, where the batch size is fixed to 10 and \(\lambda = 0.01\). The C-SAGA is more efficient at evaluating each epoch.
2.4 Observation weight
The regularized generalized linear model with observation weights is of the type
\[ \min_{\beta_0, \beta} \left\{-\frac1n \mathcal{L}\left(\beta_0,\beta; \mathbf{y}, \mathbf{W} \mathbf{X}\right)+ h_{\lambda}(\beta) \right \}, \]where \(\mathbf{W}\) is a \(n\) by \(n\) diagonal matrix with weight \(w_i\) for \(x_i\) along its diagnoal, and \(h_{\lambda}(\beta)\) is the penalty function with \(\lambda\) as the regularization strength. In sgdnet, user can input a vector of size n for \(\mathbf{W}\), whose sum should be \(n\).
sgdnet(x, y, weights = c(0.5, 1.5, rep(1, n-2)))
Reference
Defazio, Aaron, Francis Bach, and Simon Lacoste-Julien. 2014. “SAGA: A Fast Incremental Gradient Method with Support for Non-Strongly Convex Composite Objectives.” In Advances in Neural Information Processing Systems 27, 2:1646–54. Montreal, Canada: Curran Associates, Inc.
Gazagnadou, Nidham, Robert M. Gower, and Joseph Salmon. 2019. “Optimal Mini-Batch and Step Sizes for SAGA.” arXiv:1902.00071 [Math], July. http://arxiv.org/abs/1902.00071.
Park, Youngsuk, and Ernest K. Ryu. 2018. “Linear Convergence of Cyclic SAGA.” arXiv:1810.11167 [Math], October. http://arxiv.org/abs/1810.11167.


Select Player Location Select Goal Location Add Key
Season: SET
Ground: (width) (height) CREATE
Water: (width) (height) CREATE
Rock: (width) CREATE
Tree: (height) CREATE
COPY
APPLY


Module: viewer
¶
|
Viewer for displaying image collections. |
|
Viewer for displaying images. |
|
|
Widgets for interacting with ImageViewer. |
CollectionViewer
¶
-
class
skimage.viewer.
CollectionViewer
(image_collection, update_on='move', **kwargs)[source]¶ Bases:
skimage.viewer.viewers.core.ImageViewer
Viewer for displaying image collections.
Select the displayed frame of the image collection using the slider or with the following keyboard shortcuts:
- left/right arrows
Previous/next image in collection.
- number keys, 0–9
0% to 90% of collection. For example, “5” goes to the image in the middle (i.e. 50%) of the collection.
- home/end keys
First/last image in collection.
- Parameters
- image_collectionlist of images
List of images to be displayed.
- update_on{‘move’ | ‘release’}
Control whether image is updated on slide or release of the image slider. Using ‘on_release’ will give smoother behavior when displaying large images or when writing a plugin/subclass that requires heavy computation.
ImageViewer
¶
-
class
skimage.viewer.
ImageViewer
(image, useblit=True)[source]¶ Bases:
PyQt5.QtWidgets.QMainWindow
Viewer for displaying images.
This viewer is a simple container object that holds a Matplotlib axes for showing images.
ImageViewer
doesn’t subclass the Matplotlib axes (or figure) because of the high probability of name collisions.Subclasses and plugins will likely extend the
update_image
method to add custom overlays or filter the displayed image.- Parameters
- imagearray
Image being viewed.
Examples
>>> from skimage import data >>> image = data.coins() >>> viewer = ImageViewer(image) # doctest: +SKIP >>> viewer.show() # doctest: +SKIP
- Attributes
- canvas, fig, axMatplotlib canvas, figure, and axes
Matplotlib canvas, figure, and axes used to display image.
- imagearray
Image being viewed. Setting this value will update the displayed frame.
- original_imagearray
Plugins typically operate on (but don’t change) the original image.
- pluginslist
List of attached plugins.
-
__init__
(self, image, useblit=True)[source]¶ Initialize self. See help(type(self)) for accurate signature.
-
connect_event
(self, event, callback)[source]¶ Connect callback function to matplotlib event and return id.
-
disconnect_event
(self, callback_id)[source]¶ Disconnect callback by its id (returned by
connect_event
).
-
dock_areas
= {'bottom': 8, 'left': 1, 'right': 2, 'top': 4}¶
-
property
image
¶
-
original_image_changed
¶
-
save_to_file
(self, filename=None)[source]¶ Save current image to file.
The current behavior is not ideal: It saves the image displayed on screen, so all images will be converted to RGB, and the image size is not preserved (resizing the viewer window will alter the size of the saved image).
-
show
(self, main_window=True)[source]¶ Show ImageViewer and attached plugins.
This behaves much like
matplotlib.pyplot.show
and QWidget.show.


I've always been adicted to organization. So I was looking forward to this position as a Producer since the first year of college. This time was my first as being in charge of 37 other minds, before the start of the project I had minor problems regarding communication but I never thought this would be so difficult just because I though I knew my teammates.
This project I've learnt that there are a lot of different options to try something, that if something doesn't work you can try different ways. Also, I never though that having a piece of paper and a man by hand should be so important and that it's important to be there even if you're only listening or watching what other people do, so you have the information necessary to draw a map on your head.
As a producer my tasks have been related to ... drum roll ... ... ... organization!
My job has consisted on manage all the team, stablish pipelines of production, coordinate diferents departments and scrums, take strategical decisions & keep track the development.
After the Product Owners - Leads reunion set the next delivery's objectives, the Leads and I divided the group in Scrum Teams. We did those by creating a general objective for each of them and minitasks in them.
the start of the production we made little controlled teams of 5 people average but at the end we ended up with 4 teams: Levels, Combat, UI & Engine.
The next day I met with the teams, with the minitasks we had defined, our goal was to put an assignee and a due date.
The meeting used to take 1h the first deliverys but later on we managed to reduced it.
So, as the deliveries passed and the sprint Retrospectives came through, we decided to change that and those reunions were hosted by each Department Lead because we found out that the Leads lost some communication with the scrums. I took a more supportive role on those reunions communicating the decisions between departmens.
Then on the last deliveries, the Leads adjusted well but the scrum teams weren't working because the Scrum master figure wasn't being used well, so those reunions were hosted by them.
Then every one or two days, depending on the proximity of the delivery date, the Scrum Masters and I talked one by one on a reunion, then my function was to communicate that information to the rest of the Leads.
Also entering on the calls that were being done on Discord every day, helped me having a better idea of the scrum teams and that supported the information that the scrum masters gave me.
Jaume was the one hosting the Retrospectives because the first one we did I wasn't on it, I saw that he did great so on the next ones I left him lead the way. My role was to organize the excel and make priorities in order to made it easy for him to put more emphazize on them.
So when the presentation day came I had the task to create the Google Drive Presentation and create the layout, adding the order of the team members.
When we had class in Terrassa, I was the one setting the presentation on the class computer and being aware of the problems that could happen. Then when the COVID-19 came and we stayed at home I was the one passing on the slides and sharing screen via Adobe Connect.
The day of the delivery I had to do 3 things:
First, I had to create the presentation with the order.
Second, I had to create the grades sheet for the Product Owners with the same order, our teachers.
Finally, I had to upload the build, that was a big task because I had to make a list of everything that was needed for the build and make sure someone was merging it in the levels.
One small task I did was creating and excel for the departments' Leads where each member of the team could say which field they wanted to work at, for example as a Designer they could say if they wanted to be a combat, ui or level designer. This excel was very useful because at the beginning some of the members weren't happy with their tasks.
Another task that I've done has been making polls for the team. I added a bot on Discord that I really though I woudn't use to much, so I think that using it too much means that it was a good idea ☺
So I did a website, that took me a week to do it. However, when I presented it to the team, they though a template was better. I have to say that I helped Yessica on the production of it creating some descriptions and designing it. LINK to the website


This Candidate Recommendation is expected to advance to Proposed Recommendation no earlier than 27 April 2020.
This document was published by the Web Performance Working Group as a Candidate Recommendation Draft using the Recommendation track.
Publication as a Candidate Recommendation does not imply endorsement by W3C and its Members. A Candidate Recommendation Draft integrates changes from the previous Candidate Recommendation that the Working Group intends to include in a subsequent Candidate Recommendation Snapshot.
Publication as a Candidate Recommendation does not imply endorsement by W3C and its Members. A Candidate Recommendation Snapshot has received wide review, is intended to gather implementation experience, and has commitments from Working Group members to royalty-free licensing for implementations.
This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.
This document is maintained and updated at any time. Some parts of this document are work in progress.


Multiple automata can be defined in the same file.
Each automaton is first given a name which must begin with a capital letter.
This is then followed by an equals sign =
then its definition and finally a dot .
.
AutomatonName = {some definition}.
Create a transition path from the current state to the next state with the specified label.
Example1 = action -> STOP.
Create a transition path from the current state to each of the specified states with the respective label.
Example2 = x -> STOP | y -> ERROR.
A terminal is a way for the automaton to end.
There are two types of terminals, each is drawn as double bordered circle:
STOP
which is green and indicates a successful termination, and
ERROR
which is red and indicates an unsuccessful termination.
One automaton can reference another automaton so long as it has already been defined by using its name.
A = x -> y -> STOP.
B = z -> A.
More complex automaton can be created by using sub-automata.
Sub-automata are defined after the main automaton and are comma seperated.
Sub-automata and the main automaton can each reference one another other.
A = u -> (w -> A | x -> B),
B = y -> A | z -> STOP.


{% extends "base.html" %} {% comment %} context variables: captcha register_form {% endcomment %} {% block title %}upTee - Activate{% endblock title %} {% block content %}
Your account has been successfully activated. You may now login.


a web developer
< Tribute page />
< Survey form />
< Technical documentation page />
< Product landing paage />
< Personal Portfolio />
How do you take your coffee?


The above is a sematically an h2.
Example of p tag using an h2 style
The above is a p tag using h2 styling. It is semantically just paragraph, not a header.
It is semantically a level 2 header.
Semantically of course this is an h5, not an h2.


Posts about “Employment”
To be working on a project that is. At least it feels that way considering most writing projects I’ve been involved in are over after a hair-pulling night of throwing words onto a page or two. Project timelines are a bit more distended in the technical writing world. But, anyway, enough kerfuffle. What I’d like to present to you is the best business phone ever.
Yes, it’s the phone system I’ve been writing those 400-page Internal Product Specifications for.
You may as well recycle those newspaper classifieds, because that old school job-finding tool belongs in the 20th century. Spurred on by the recession, a number of tech-savvy people have started blogging on various “new school” ways of getting a job. Tech evangelist Robert Scoble has some crafty tips. I tend to agree with him when he says your blog is your résumé. After all, google my name and this blog is the first search result (and if you are a hiring manager, then please note my correct formatting of the word résumé!
The first entry of 2009! Granted, this isn’t the most updated blog in the world, but I’ve managed to keep wordbit going for around two years now, which is not bad. I recently tried to find the oldest blog in the world, and this site claims to have been blogging since 1987. But that’s just their opinion - blogs in their modern incarnation haven’t been around for more than about 10 years.
If you’re more concerned with your company culture than the size of your pay cheque, your might be interested in this Vancouver start-up. Jiibe is a user-generated service that matches your value system to a compatible company based on a questionnaire you fill out.
I can see this site being really useful to young Millennials who care a great deal about the softer aspects of job satisfaction and are in a process of self-discovery.
In this rocky economic climate, marketing yourself has never been more crucial if you want to survive the inevitable cutbacks. When it comes to technical writing, it’s a useful exercise to understand and appreciate what companies look for in a writer.
Lyndsey Amott, in an article on her website, stresses that industry knowledge should not be a primary deciding factor when mulling over suitable candidates. Her top three must-haves are:
It’s been about four months since my classmates and I graduated from the Print Futures Professional Writing Program. If you’re serious about your craft and are thinking of attending this two-year diploma program, I heartily encourage you to go for it. I love to write and I love getting paid to do it even more. But don’t kid yourself - writing well works up a mental sweat for every writer, whether oozing with talent or not.
I thought it was high time for an update on the first two weeks of my contract. As I alluded to previously, the project I’m working on right now involves the design of a new phone. It’s a complex system with many components, and is rather hush-hush at the moment so I can’t really elaborate on it. Thus far, much of the system behaviour has been decided upon verbally, which is where I come in.
I’ve just signed a 6-month contract with Vtech to work as a technical writer in their engineering department! As you probably know, Vtech primarily designs and manufactures cordless phones as well as other wireless devices.
The company usually outsources their documentation to the States. Presently, however, they’re developing a completely new product line (sorry, I can’t say what it is) and need a writer in-house. This is a new position, so the challenge for me will be in ensuring that I get the information I need from the engineers without taking too much time away from their primary tasks.
So, you’ve managed to land an interview. Congratulations! Time to prepare by going through possible interview questions and practicing in front of a mirror. Make sure you’ve done your research on the company and have some intelligent questions to ask them too.
Now what do you say once you’re sitting in the hot seat? Here are my top five tips for acing that tech-writing job interview:
Tell your potential employer that even though you don’t know everything about their widgets right now, you love learning new things.
I mentioned in part one of this series that 80% of jobs can only be found in that elusive place called “the hidden job market.” About 20% of those gigs can be gotten through employment services, cold calling, and other tactics, such as information interviews. But the other 60% are landed through referrals. That makes networking your only way to access a big chunk of the job market.
So how do you rustle up some contacts in Vancouver, a city that has a reputation for being a tad on the chilly side?
I’ve officially uploaded the latest version of my ePortolio - you can check it out here.
This website uses some flash elements and some fancy css coding and is basically geared towards technical writing employers as a way to showcase my work. I may expand it in the future to include other samples too.
For those who are interested, I designed it in Dreamweaver, Illustrator, and Photoshop. I used FlashSpring Pro 2 to convert a Powerpoint to flash.
I’m going to start a series on finding a tech-writing job specifically in the high-tech hub of Vancouver, BC (which is where I happen to live). As I started the job search process myself, I noticed a dearth of information on this topic. I hope I can dig up some useful info for those in a similar position - eventually I’ll port this stuff over to my resources page.
So, without further ado, here is part 1, which will focus on job search engines.


This is work was packaged for Debian by:
Per Olofsson
It was downloaded from:
http://portland.freedesktop.org
Upstream authors:
Portland Project
Copyright:
Copyright 2006, Kevin Krammer
Copyright 2006, Jeremy White
License:
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR
# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
# OTHER DEALINGS IN THE SOFTWARE.
and is licensed under the MIT licence.
The Debian packaging is:
Copyright (C) 2006-2010 Per Olofsson
and is licensed under the MIT license, see above.


FROM MISS DORIS LANGA
ABIDJAN-COTE D'IVOIRE
WEST AFRICA.
EMAIL<EMAIL_ADDRESS>Dearest one,
Permit me to inform you of my desire of going into business relationship with you. i have the believe you are a reputable and responsible and trustworthy person
I can do business with from the little information so far I gathered about you through your profile for a partner and by matter of trust I must not hesitate to confide in you for this simple and sincere business.
I am Doris Langa, 23 years of age the only daughter of late Dr Eric Langa whom was killed by the rebels that attacked our country cote d'Ivoire west Africa and
took over our town (BOUAKE). I ran to Abidjan the economical capital of cote d'ivoire from were I am contacting you. Before the death of my father he told me that he has a sum of US$9,000,000(Nine million united states
dollars) kept in a private security
company in cote d'ivoire in my name as the next of kin, but during the rebel attack in cote d ivoire, I was informed by the company that all consignment have been moved to their branch office in EUROPE.
Sir, in the capacity of the next of kin, I am contacting you with due sence of humanity and responsibility and with few awareness that you will give it a sympathetic and mutual consideration. I am honourably seeking your assistance in the following ways.
(1)To provide a bank account where this money would be transferred to.
(2)To serve as the guardian of this fund and to visit the security company in EUROPE to take delivery of the consignment.
(3)To make arrangement for me to come over to your country to further my education and to secure a residential permit for me in your country.
(4)To provide good investment plans for the fund and to manage the fund for 5 years, during the investment period,only
our profit will be shared annually 70% for me the investor while 30% will be for you the fund manager annually. Moreover, I am willing to offer you 20 % of the total sum as compensation for your effort /input after the successful transfer of this fund to your nominated account overseas before the investments starts.and I have maped 5% for any expenses that might be incured during the course of this transaction.
furthermore, you can indicate your option towards assisting me as I believe that this transaction would be concluded within a stipulated period of time you signify your interest to assist me. Anticipating hearing from you immediately.
Thanks and God bless.
Yours faithful.
Doris Langa.
Nouveau : téléphonez moins cher avec Yahoo! Messenger. Appelez le monde entier à partir de 0,012 €/minute !
Téléchargez la version beta.
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Téléchargez la version beta.


"In computer science, separation of concerns (SoC) is a design principle for separating a computer program into distinct sections, such that each section addresses a separate concern. A concern is a set of information that affects the code of a computer program. A concern can be as general as the details of the hardware the code is being optimized for, or as specific as the name of a class to instantiate. A program that embodies SoC well is called a modular program... The value of separation of concerns is simplifying development and maintenance of computer programs. When concerns are well-separated, individual sections can be developed and updated independently. Of special value is the ability to later improve or modify one section of code without having to know the details of other sections, and without having to make corresponding changes to those sections."
# app/models/product.rb
class Product
include Taggable
...
end
# app/models/concerns/taggable.rb
# notice that the file name has to match the module name
# (applying Rails conventions for autoloading)
module Taggable
extend ActiveSupport::Concern
included do
has_many :taggings, as: :taggable
has_many :tags, through: :taggings
class_attribute :tag_limit
end
def tags_string
tags.map(&:name).join(', ')
end
def tags_string=(tag_string)
tag_names = tag_string.to_s.split(', ')
tag_names.each do |tag_name|
tags.build(name: tag_name)
end
end
# methods defined here are going to extend the class, not the instance of it
module ClassMethods
def tag_limit(value)
self.tag_limit_value = value
end
end
end
Courtesy of stack overflow.
product = Product.new
product.tags_string = "green, large, shirt"
product.tags_string
=> "green, large, shirt"
product.tags
=> [{name: "green"}, {name: "large"}, {name: "shirt"}]
Product.tag_limit(5)
Well lets take a look:
module DateScopes
extend ActiveSupport::Concern
module ClassMethods
def include_date_scopes
define_singleton_method :"between" do |start_datetime, stop_datetime|
where ['created_at >= AND created_at <', start_datetime, stop_datetime]
end
define_singleton_method :"on_or_before_date" do |date|
where ['created_at <= ?', date]
end
end
end
end
class Article << ActiveRecord::Base
include DateScopes
include_date_scopes
#...
end
Article.between((Time.now - 7.days), Time.now)
=> #<ActiveRecord::Relation [...]>
Article.between(Time.now, (Time.now + 7.days))
=> #<ActiveRecord::Relation []>
Article.on_or_before(Time.now - 7.years)
=> #<ActiveRecord::Relation []>
Article.between(Time.now)
=> #<ActiveRecord::Relation [...]>
You can do many things with controller concerns:
module RescueExceptions
extend ActiveSupport::Concern
included do
rescue_from ::ActionView::MissingTemplate, :with => :handle_missing_page
rescue_from ::ActiveRecord::RecordNotFound, :with => :handle_missing_record
end
protected
def handle_missing_page(exception)
logger.error("#{exception.class.name}: #{exception.message} #{exception.backtrace.join("\n")}")
redirect_to your_404_path
end
def handle_missing_record(exception)
logger.error("#{exception.class.name}: #{exception.message} #{exception.backtrace.join("\n")}")
redirect_to your_missing_record_page
end
end


The portals
package provides a flexible system for rendering dynamic content into an application.
A Portal
is a piece of UI that can be dynamically rendered to an open slot on the page.
The "piece of UI" can be either a Component
or a TemplateRef
and the "open slot" is
a PortalOutlet
.
Portals and PortalOutlets are low-level building blocks that other concepts, such as overlays, are built upon.
Portal<T>
| Method | Description |
|---|---|
attach(PortalOutlet): Promise<T> |
Attaches the portal to a host. |
detach(): Promise<void> |
Detaches the portal from its host. |
isAttached: boolean |
Whether the portal is attached. |
PortalOutlet
| Method | Description |
|---|---|
attach(Portal): Promise<void> |
Attaches a portal to the host. |
detach(): Promise<void> |
Detaches the portal from the host. |
dispose(): Promise<void> |
Permanently dispose the host. |
hasAttached: boolean |
Whether a portal is attached to the host. |
CdkPortal
Used to get a portal from an <ng-template>
. CdkPortal
is a Portal
.
Usage:
<ng-template cdkPortal>

The content of this template is captured by the portal.

</ng-template>

The content of this template is captured by the portal.

A component can use @ViewChild
or @ViewChildren
to get a reference to a
CdkPortal
.
ComponentPortal
Used to create a portal from a component type. When a component is dynamically created using
portals, it must be included in the entryComponents
of its NgModule
.
Usage:
this.userSettingsPortal = new ComponentPortal(UserSettingsComponent);
CdkPortalOutlet
Used to add a portal outlet to a template. CdkPortalOutlet
is a PortalOutlet
.
Usage:

<ng-template [cdkPortalOutlet]="userSettingsPortal"></ng-template>


EBD - Easton Bible DIctionary
Furrow
FURROW
"FURROW "an opening in the ground made by the plough (
Psalm 65:10
; Hos.
10:4, 10
).
"FURROW "an opening in the ground made by the plough (Psalm 65:10; Hos. 10:4, 10).


Before Change
categorical, [X_train])
X_train = X_train[0]
try:
_metafeatures_encoded_labels = metafeatures.calculate_all_metafeatures_encoded_labels(
X_train, y_train, categorical, task_id)
except MemoryError as e:
// During the conversion of the dataset (rescaling, etc...), it can
// happen that we run out of memory.
_metafeatures_encoded_labels = \
metafeatures.metafeature.DatasetMetafeatures(task_id, dict())
for metafeature_name in metafeatures.metafeatures.npy_metafeatures:
type_ = "HELPERFUNCTION" if metafeature_name not in \
metafeatures.metafeatures.metafeatures.functions \
else "METAFEATURE"
_metafeatures_encoded_labels.metafeature_values[metafeature_name] = \
metafeature.MetaFeatureValue(metafeature_name, type_, 0, 0,
np.NaN, np.NaN,
"Memory error during dataset scaling.")
mf = _metafeatures_labels
mf.metafeature_values.update(
_metafeatures_encoded_labels.metafeature_values)
After Change
X_train = X_train[0]
categorical = [False] * X_train.shape[1]
start_time = time.time()
obj = pynisher.enforce_limits(mem_in_mb=3072)(
metafeatures.calculate_all_metafeatures_encoded_labels)
_metafeatures_encoded_labels = obj(X_train, y_train,
categorical, task_id)
end_time = time.time()
if obj.exit_status == pynisher.MemorylimitException:
// During the conversion of the dataset (rescaling, etc...), it can
// happen that we run out of memory.
_metafeatures_encoded_labels = \
metafeature.DatasetMetafeatures(task_id, dict())
metafeature_calculation_time = (end_time - start_time) / \
len(metafeatures.npy_metafeatures)
for metafeature_name in metafeatures.npy_metafeatures:


We aim to investigate what contributed a significant increase to the autism prevalence in the U.S. over the past decades, focusing on discovery of internal and external environmental exposures that are detectable in the blood from the patients with autism and their family members compared to individuals without autism. Furthermore, the interplay between genetic and environmental factors in gene function such as gene expression and DNA methylation will be uncovered. Read more
The collaborative activities of the Autism Exposome Project have been divided amongst four leading organizations: Boston children's Hospital/Harvard Medical School, Emory and Tufts Universities. Read more
This project is funded by the National Institutes of Mental Health (NIMH R01MH107205 ).
We want to improve!
Please send us comments, suggestion, links and news!
Email: autismexposome@gmail.com


Canvas is a 2D drawing API recently added to HTML and supported by most browsers.
What is possible with Canvas?
Canvas is a 2D drawing API. Essentially the browser gives you a rectangular area on the
screen that you can draw into.
You can draw lines, shapes, images, text.
Canvas was originally created by Apple for its Dashboard widgets, but it has since been
adopted
by every major browser vendor and is now part of the HTML 5 specification.
Here's a quick example of what some Canvas code looks like:
<html>
<body>
<canvas width="800" height="600" id="canvas"></canvas>
<script>
var canvas = document.getElementById('canvas');
var c = canvas.getContext('2d');
c.fillStyle = "red";
c.fillRect(100, 100, 400, 300);
</script>
</body>
</html>
The result for the red rectangle from the previous code:
There are four ways to draw things on the web:
SVG is a vector API that draws shapes. Each shape has an object that you can attach event handlers to. If you zoom in the shape stays smooth, whereas Canvas would become pixelated.
CSS is about styling DOM elements. Since there are no DOM objects for things you draw in Canvas you can't use CSS to style it. CSS will only affect the rectangular area of the Canvas itself, so you can set a border and background color, but that's it.
The DOM defines an object for everything on the screen. DOM animation, either by using CSS or JavaScript to move objects around, can be smoother in some cases than doing it with Canvas, but it depends on your browser implementation.
Canvas is now a stable API and most modern browsers support it to some extent.
| Desktop Browser | Version |
|---|---|
| Safari | 3.0+ |
| Chrome | 10+ |
| Opera | 9+ |
| FireFox | 4.0+ |
| Internet Explorer | 9.0+ |
Most smartphone platforms support it because most of them are based on WebKit, which has had long good support.
| Mobile Browser | Version |
|---|---|
| iOS | all |
| webOS | all |
| Android | 2.0+ |
| BlackBerry | Playbook and OS 6.0+ |
| Windows Phone 7 | none |
Paths are shapes created by a bunch of straight or curved line segments. In Canvas you must first define a path with beginPath(), then you can fill it, stroke it, or use it as a clip. You define each line segment with functions like moveTo(), lineTo(), and bezierCurveTo().
Code for the shape above:
c.fillStyle = 'red';
c.beginPath();
c.moveTo(10,30);
c.bezierCurveTo(50,90,159,-30,200,30);
c.lineTo(200,90);
c.lineTo(10,90);
c.closePath();
c.fill();
c.lineWidth = 4;
c.strokeStyle = 'black';
c.stroke();
Canvas has the origin in the upper left corner with the y axis going down. But if you want a different origin you can do that with transforms. Besides, canvas specification defines coordinates at the upper left corner of a pixel.
Canvas can draw images with the drawImage function.
There are several forms of drawImage:
You can draw the image directly to the screen at normal scale, or stretch and slice it how
you like.
ctx.drawImage(img, 0,0); //normal drawing
ctx.drawImage(img, //draw stretched
0,0,66,66, //source (x,y,w,h)
100,0,100,100//destination (x,y,w,h)
);
ctx.drawImage(img, //draw a slice
20,10,20,20, //source coords (x,y,w,h)
250,0,250,50//destination coords (x,y,w,h)
);
The font attribute is the same as its CSS equivalent, so you can set the style, size, and font family. The fillText(string,x,y) function draws using baseline of the text, not the top.
ctx.fillStyle = "black";
ctx.font = "italic "+44+"pt Arial ";
ctx.fillText("this is text", 11,123);
var grad = ctx.createLinearGradient(0,0,200,0);
grad.addColorStop(0, "white");
grad.addColorStop(0.5, "red");
grad.addColorStop(1, "black");
ctx.fillStyle = grad;
ctx.fillRect(0,0,400,200);


Press n or j to go to the next uncovered block, b, p or k for the previous block.
| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| AnswerForm.jsx |
|
32.5% | 13/40 | 12.5% | 1/8 | 13.33% | 2/15 | 32.5% | 13/40 |
| AnswerReport.jsx |
|
57.14% | 4/7 | 25% | 1/4 | 66.67% | 2/3 | 57.14% | 4/7 |
| AskQuestionButtons.jsx |
|
100% | 2/2 | 50% | 1/2 | 100% | 1/1 | 100% | 2/2 |
| HelpfulAnswerCount.jsx |
|
45.45% | 5/11 | 0% | 0/2 | 33.33% | 2/6 | 45.45% | 5/11 |
| HelpfulQuestionCount.jsx |
|
41.67% | 5/12 | 0% | 0/2 | 28.57% | 2/7 | 41.67% | 5/12 |
| LoadMoreAnswers.jsx |
|
100% | 2/2 | 50% | 1/2 | 100% | 1/1 | 100% | 2/2 |
| MainAnswerQuestionBox.jsx |
|
33.33% | 2/6 | 0% | 0/6 | 25% | 1/4 | 33.33% | 2/6 |
| QuestionAnswerState.jsx |
|
18.33% | 11/60 | 0% | 0/16 | 17.39% | 4/23 | 18.97% | 11/58 |
| QuestionForm.jsx |
|
30% | 12/40 | 7.14% | 1/14 | 16.67% | 2/12 | 30% | 12/40 |
| QuestionReport.jsx |
|
66.67% | 4/6 | 100% | 0/0 | 50% | 1/2 | 66.67% | 4/6 |
| productState.jsx |
|
50% | 2/4 | 100% | 0/0 | 0% | 0/1 | 50% | 2/4 |
| searchBar.jsx |
|
0% | 0/10 | 100% | 0/0 | 0% | 0/5 | 0% | 0/10 |


Closed activities
User does not have closed activities
0">
{{activity.Title}}
Group maps
Group report
Individual reports


Warehouse Keeper Holvas:
Kamael...
I am very curious about your race, but I'm afraid I'm absolutely swamped with work at the moment.
Perhaps you could come back at another time...


What did Tig get from Santa" Let's see. Tig attacks the presents. She sniffs the biggest gift. It smells OK. It is a red rug.  Which is Tig's best gift" Is it the red rug" Is it the dog bun" Is it the bandana or is it the jacket" No. Tig's best gift is a big bone.  She keeps the bone still andlicks and licks and licks.
in-context


Fetching results…
Tryjob results are truncated because there are more than
1000 new failures or passes.
Try builds are failing because the following configurations have
more than 10 new, previously unseen, flaky failures:
{{flakyConfigurations.join(" ")}}
No changed test results
Comment: Use GitHub short links like #456 (dart-lang sdk issue 456),
flutter/engine#93, or google/quiver-dart#45. You can also paste
URLs of GitHub issues in dart-lang, flutter, or google directly.
Approve/Comment ...
Cancel
Revoke Selected Approvals
Comment without Approving
Approve
Create GitHub issue...


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Enthusiastic to learn many more..
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{# -*- mode: jinja2 -*- #} {% if swishprovider and purchase.paymentState != ['paid'] and purchase.kind != ['credit'] %} {% endif %}


{% extends "index.html" %} {% block CodonUsage %}
This tool outputs the codon usage of a user inputted DNA sequence, which must be uploaded as a text file in FASTA format.


--- layout: post status: publish published: true title: ssh tunnel for port on internet without port forwarding author: display_name: vishvendra login: vishvendra email<EMAIL_ADDRESS>url: '' author_login: vishvendra author_email<EMAIL_ADDRESS>wordpress_id: 256 wordpress_url: http://www.vishvendrasingh.com/?p=256 date: '2016-07-15 12:54:48 +0530' date_gmt: '2016-07-15 12:54:48 +0530' categories: - Hacking - Linux tags: - Hacking - Linux comments: - id: 71 author: zainab author_email<EMAIL_ADDRESS>author_url: '' date: '2016-07-15 13:42:20 +0530' date_gmt: '2016-07-15 13:42:20 +0530' content: Really informative article.... :) ---
Hi, the below command do really have magical effect to bring ur local port on internet,
Support you are on nat (nat like you have <IP_ADDRESS>), and you dont have public ip, but you want to show your friend your webserver, or you want him to ssh your system remotely so you need to forward your port with router that may or may not have public ip.
But if you have a remote server with public, like i do have this server, you can use that to do this task from remote. And that is very easy you can find many tutorials on internet for reverse ssh tunnel.
here are those very easy steps you need to perform-
Enjoy I had to do a lot of research to get this successful in my case and now found that this something like path to heaven for me. it takes all the traffic encrypted with ssh protocol hehehe.
and use ssh -f -N -R 9108:localhost:80<EMAIL_ADDRESS>-p 2222 if you dont want ssh to open everytime


Applications which use the Replication Manager support generally call the following Berkeley DB methods. The general pattern is to call various methods to configure Replication Manager, and then start it by calling DB_ENV->repmgr_start(). Once this initialization is complete, the application rarely needs to call any of these methods. (A prime example of an exception to this rule would be the DB_ENV->rep_sync() method, if the application is Delaying client synchronization.)
The DB_SITE handle is used to configure a site that belongs to the replication group. You can obtain a DB_SITE handle by calling the DB_ENV->repmgr_site() method. When you do this, you provide the TCP/IP host name and port that the replication site uses for incoming connections.
Once you have the DB_SITE handle, you use the
DB_SITE->set_config() method to configure the
handle. One of the things you can configure about
the handle is whether it is the local site (using
the DB_LOCAL_SITE
parameter).
You must configure one and only one DB_SITE
handle to be a local site before you start
replication.
You can also optionally configure DB_SITE handles for remote sites to help Replication Manager start up more efficiently. Note that it is usually not necessary for each site in the replication group initially to know about all other sites in the group. Sites can discover each other dynamically, as described in Connecting to a new site.
Once you have configured your DB_SITE handles, you start replication using DB_ENV->repmgr_start().
When you are shutting down your application, you must use the DB_SITE->close() method to close all your open DB_SITE handles before you close your environment handles.
The DB_ENV->repmgr_set_ack_policy() method configures the acknowledgement policy to be used in the replication group, in other words, the behavior of the master with respect to acknowledgements for "permanent" messages, which implements the application's requirements for Transactional guarantees. The current implementation requires all sites in the replication group to configure the same acknowledgement policy.
The DB_ENV->rep_set_priority() method configures the local site's priority for the purpose of elections.
This method optionally configures various timeout values. Otherwise default timeout values as specified in DB_ENV->rep_set_timeout() are used. In particular, Replication Manager client sites can be configured to monitor the health of the TCP/IP connection to the master site using heartbeat messages. If the client receives no messages from the master for a certain amount of time, it considers the connection to be broken, and calls for an election to choose a new master. Heartbeat messages also help clients request missing master changes in the absence of master activity.
Once configured and started, Replication Manager does virtually all of its work in the background, usually without the need for any direct communication with the application. However, occasionally events occur which the application may be interested in knowing about. The application can request notification of these events by calling the DB_ENV->set_event_notify() method.
The DB_ENV->repmgr_start() method starts the replication system. It opens the listening TCP/IP socket and creates all the background processing threads that will be needed.
In addition to the methods previously described, Replication Manager applications may also call the following methods, as needed: DB_ENV->rep_set_config(), DB_ENV->rep_set_limit(), DB_ENV->rep_set_request(), DB_ENV->rep_sync() and DB_ENV->rep_stat().
If a Replication Manager replication group contains only two sites and one particular site should be master whenever possible, the replication group can be configured to run in preferred master mode. For more information, see Preferred master mode.
Replication Manager applications may configure one or more view sites. A view is a full or partial copy of the replicated data that does not otherwise participate in the replication group. For more information, see Replication views.
Finally, Replication Manager applications can also make use of the Replication Manager's message channels. This allows the various sites in the replication group to pass messages that are tailored to the application's requirements. For more information, see Using Replication Manager message channels.


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|
SGCoreCpp
v1.2.1
SenseGlove C++ API
|
An algorithm that checks whether or not our current user is running in the same calibration range as last time. More...
#include <HG_CalCheck.h>
Public Member Functions | |
| bool | ReachedConclusion () |
| Whether or not his algorithm has determined if calibration is required. More... | |
| CalibrationStage | GetCalibrationStage () |
| HG_CalCheck () | |
| The last calibration range can be null, at which point you defnitely need calibration. More... | |
| HG_CalCheck (SGCore::Calibration::SensorRange &lastCalibrationRange) | |
| The last calibration range can be null, at which point you defnitely need calibration. More... | |
| void | Reset () |
| Reset the calibrationCheck. so it may be used again. This does not reset the LastRange. More... | |
| void | CheckRange (std::vector< Kinematics::Vect3D > ¤tValues, float deltaTime_s, DeviceType deviceType) |
| Using the currently received Sensor Values, check if calibration is required. This function will have to be called until a conclusion can be reached. More... | |
Static Public Member Functions | |
| static bool | NeedsCheck (SGCore::DeviceType device) |
| Returns true if this DeviceType requires a calibration check. More... | |
| static int | OutOfBounds (SensorRange &previousRange, std::vector< Kinematics::Vect3D > ¤tValues, SGCore::DeviceType type) |
| Checks if current values are operating out of the previous range. Returns -1 if all is fine. 0...4 to indicate which finger is out of bounds. More... | |
| static bool | MovedMinimum (std::vector< Kinematics::Vect3D > ¤tRange, SGCore::DeviceType type) |
| Returns true if the user has moved enough in both flexion and thumb abduction movement to be considered 'active' More... | |
| static bool | MatchesLast (std::vector< Kinematics::Vect3D > ¤tRange, std::vector< Kinematics::Vect3D > &lastRange, SGCore::DeviceType type) |
| Returns true if the current sensor values have moved roughly as much as last time. More... | |
Public Attributes | |
| SensorRange | lastRange |
| The calibration range from last time, that we are checking against. More... | |
| SensorRange | currentRange |
| The calibration range measured as of right now. More... | |
| float | perfectThresholdTime = 0.5f |
| If we're 'around' the lastRange for this amount of time, we're calling it 'done'. More... | |
| float | timer_atThreshold = 0 |
| Time that we've been around the last range for. More... | |
| bool | movedMinimum = false |
| Whether or not we've moved a minimum amount. Something that even someone with the smallest hands can do. More... | |
| float | minMoveTime = 3.0f |
| After moving the minimum amount of time but not reaching the perivous range, we'll say the hand is too small. More... | |
| float | timer_MinMove = 0.0f |
| Time since we made the minumum amount of movement More... | |
| float | outOfBoundsTime = 0.1f |
| The amount of time the current values can be out of range for. Catches a minor case where sensor jitter causes us to be outside of the range. More... | |
| float | timer_outOfBounds = 0 |
| Time we've been out of bounds for. More... | |
Static Public Attributes | |
| static const float | sgThreshold = Kinematics::Values::Deg2Rad * 15 |
| SenseGlove: How far from the threshold one can be where we would still call it 'the same as before' More... | |
| static const float | novaThreshold = 350 |
| Nova: How far from the threshold one can be where we would still call it 'the same as before' More... | |
| static const float | sgMinFlex = Kinematics::Values::Deg2Rad * 90 |
| SenseGlove: The minumum amount of sensor flexion movement before we start testing for a smaller hand. More... | |
| static const float | novaMinFlex = 1500 |
| Nova: The minumum amount of sensor flexion movement before we start testing for a smaller hand. More... | |
| static const float | sgMinAbd = Kinematics::Values::Deg2Rad * 10 |
| SenseGlove: The minumum amount of sensor movement on the thumb abduction before we start testing for a smaller hand. More... | |
| static const float | novaMinAbd = 250 |
| Nova: The minumum amount of sensor movement on the thumb abduction before we start testing for a smaller hand. More... | |
Protected Attributes | |
| CalibrationStage | calibrationStage |
| The current stage of this algorithm More... | |
| bool | firstRange |
| bool | brokenRange |
An algorithm that checks whether or not our current user is running in the same calibration range as last time.
| SGCore::Calibration::HG_CalCheck::HG_CalCheck | ( | ) |
The last calibration range can be null, at which point you defnitely need calibration.
| lastCalibrationRange |
| SGCore::Calibration::HG_CalCheck::HG_CalCheck | ( | SGCore::Calibration::SensorRange & | lastCalibrationRange | ) |
The last calibration range can be null, at which point you defnitely need calibration.
| lastCalibrationRange |
| void SGCore::Calibration::HG_CalCheck::CheckRange | ( | std::vector< Kinematics::Vect3D > & | currentValues, |
| float | deltaTime_s, | ||
| DeviceType | deviceType | ||
| ) |
Using the currently received Sensor Values, check if calibration is required. This function will have to be called until a conclusion can be reached.
| currentValues | |
| deltaTime_s | |
| deviceType |
| CalibrationStage SGCore::Calibration::HG_CalCheck::GetCalibrationStage | ( | ) |
|
static |
Returns true if the current sensor values have moved roughly as much as last time.
| currentRange | |
| lastRange | |
| type |
|
static |
Returns true if the user has moved enough in both flexion and thumb abduction movement to be considered 'active'
| currentRange | |
| type |
|
static |
Returns true if this DeviceType requires a calibration check.
| device |
|
static |
Checks if current values are operating out of the previous range. Returns -1 if all is fine. 0...4 to indicate which finger is out of bounds.
| previousRange | |
| currentValues | |
| type |
| bool SGCore::Calibration::HG_CalCheck::ReachedConclusion | ( | ) |
Whether or not his algorithm has determined if calibration is required.
| void SGCore::Calibration::HG_CalCheck::Reset | ( | ) |
Reset the calibrationCheck. so it may be used again. This does not reset the LastRange.
|
protected |
|
protected |
The current stage of this algorithm
| SensorRange SGCore::Calibration::HG_CalCheck::currentRange |
The calibration range measured as of right now.
|
protected |
| SensorRange SGCore::Calibration::HG_CalCheck::lastRange |
The calibration range from last time, that we are checking against.
| float SGCore::Calibration::HG_CalCheck::minMoveTime = 3.0f |
After moving the minimum amount of time but not reaching the perivous range, we'll say the hand is too small.
| bool SGCore::Calibration::HG_CalCheck::movedMinimum = false |
Whether or not we've moved a minimum amount. Something that even someone with the smallest hands can do.
|
static |
Nova: The minumum amount of sensor movement on the thumb abduction before we start testing for a smaller hand.
|
static |
Nova: The minumum amount of sensor flexion movement before we start testing for a smaller hand.
|
static |
Nova: How far from the threshold one can be where we would still call it 'the same as before'
| float SGCore::Calibration::HG_CalCheck::outOfBoundsTime = 0.1f |
The amount of time the current values can be out of range for. Catches a minor case where sensor jitter causes us to be outside of the range.
| float SGCore::Calibration::HG_CalCheck::perfectThresholdTime = 0.5f |
If we're 'around' the lastRange for this amount of time, we're calling it 'done'.
|
static |
SenseGlove: The minumum amount of sensor movement on the thumb abduction before we start testing for a smaller hand.
|
static |
SenseGlove: The minumum amount of sensor flexion movement before we start testing for a smaller hand.
|
static |
SenseGlove: How far from the threshold one can be where we would still call it 'the same as before'
| float SGCore::Calibration::HG_CalCheck::timer_atThreshold = 0 |
Time that we've been around the last range for.
| float SGCore::Calibration::HG_CalCheck::timer_MinMove = 0.0f |
Time since we made the minumum amount of movement
| float SGCore::Calibration::HG_CalCheck::timer_outOfBounds = 0 |
Time we've been out of bounds for.


ISN'T SHE GREAT RATING: 6.5 /10 --> So-so
For more reviews and movie screensavers, visit http://www.joblo.com/
Isn't she great?  Hmmm...not so great in my eyes, but definitely an interesting behind-the-scenes look into the life and times of one Jacqueline Susann and her rise to fame. She's actually pretty so-so.
PLOT: Director Andrew Bergman claims that this film is "loosely based" on the life of Jacqueline Susann, a woman who began her career in showbiz with two-bit parts and radio spots, and ended up as one of the most controversial and successful novelists of her generation. Starting from the 1920s and into the late 60s, this movie also accentuates the impact of her relationship with husband/publicist Irving Mansfield.
CRITIQUE: Interesting, funny at times, well cast, this movie works when taken in as the story of an underdog whose determination, persistence, flair and tinge of talent take her to the top, but surrenders to mediocrity when considering itself an all-out comedy or romance drama. I didn't really know what this film was about before entering the theatre, so just the fact that it was able to keep me interested all the way through, is a point in its favor. Having always held a strong interest in discovering the background of all grass roots success stories, this film handed me a fine helping of nutritious facts, despite some apparent "loosening" of her real-life story. One of the areas of this film which didn't quite work for me on the other hand, included the relationship with her husband/publicist, which seemed arbitrary and just plain odd in my eyes. The humor was also pretty spotty, with some solid guffaws from Midler, Lane and Channing from time to time, but overall, it felt more like a chuckle-and-smile film than anything else.
David Hyde Pierce was also pretty solid as the tight-ass WASPy character, as was John Cleese, whose small role was actually funny just for his 60s jive and clothing. In fact, I really did enjoy most of the cast, despite my reluctance to accept some of their obvious overacting early on, but when the curtain call came to set, the whole thing just left me with a "whatever" feeling. I suppose that the many people who do know of this lady, her books or the movies made in their name, might enjoy this on another level altogether, but if you're like me, and know little about this woman or her sleazy novels, I don't think you'll be taken on to any kind of ROCKY "let's-go-out-there-and-kick-some-ass-in-the-world" type feeling. I would say that it's a nice movie, enjoyable to watch, but even easier to forget. See it if you're in the mood for light laughs or appreciate the work of any of its principals, and enjoy its underdog-done-good story in the meantime. Otherwise, you could always wait until this puppy shows up on your local video rental shelves or skip it altogether. Trust me, she's not that great and your life will be fine without her.
Also, if you're like me, and you happen to live in Montreal, Canada, well, you could also make a game out of this film, and try to spot any of the local hangouts which were dressed up like New York in this camouflaged movie.
Little Known Facts about this film and its stars: Ironically, it turns out that the real Jacqueline Susann wasn't particularly funny, and that her relationship with Irving Mansfield was actually "somewhat unconventional", but I guess that's just showbiz! Well-known critic Roger Ebert has one movie screenplay credit, and it came by the way of his gig as screenwriter on the so-called "sequel" to the original VALLEY OF THE DOLLS movie, called BEYOND THE VALLEY OF THE DOLLS. Known for having written and directed such films as STRIPTEASE, THE FRESHMAN and HONEYMOON IN VEGAS, this is the first time that director Andrew Bergman directs a picture based on someone else's screenplay. Interestingly enough, Bergman received his first writing credit along with four other men, including Richard Pryor and Mel Brooks, for the 1974 hit comedy BLAZING SADDLES. Bergman also has a Ph.D. in American History from the University of Wisconsin. Interesting casting note in the scene featuring Steve Lawrence and Eydie Gorme singing at Jackie's "Valley of the Dolls" best-seller party: the part of Steve Lawrence is played by their actual son, singer/songwriter David Lawrence, and Debbie Gravitte, who has appeared as Eydie Gorme in the past. All exterior shots in this film were completed in Manhattan, despite the rest of the production being shot in Montreal, Canada, due to economics. Screenwriter Paul Rudnick, best known for his screenplay of IN & OUT, is rumored to be the writer of a monthly satirical film review column in "Premiere" magazine, under the name Libby Gelman-Waxner.
Review Date: January 26, 2000 Director: Andrew Bergman Writer: Paul Rudnick Producer: Mike Lobell Actors: Bette Midler as Jacqueline Susann Nathan Lane as Irving Mansfield Stockard Channing as Florence Maybelle David Hyde Pierce as Michael Hastings Genre: Comedy Year of Release: 2000 -------------------------------------- JoBlo's Movie Emporium http://www.joblo.com/ -------------------------------------- (c) 2000 Berge Garabedian
The review above was posted to the
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Gecode::ActorDeleteLink Class Reference
Inherits
Gecode::ActorLink.
Inherited by Gecode::Actor [private]
.
List of all members.
Detailed Description
Double-linked list for deleting actors.
Used for actors that must be deleted (forced deletion) when a space is deleted (even if the space is failed).
The reason why it is not conjoined with ActorLink is that the array of propagator queues just need the normal linkage, but not the linkage for deletion.
Definition at line 384 of file core.icc.
Member Function Documentation
| ActorDeleteLink * Gecode::ActorDeleteLink::next_delete |
( |
void |
|
) |
const [inline] |
|
| ActorDeleteLink * Gecode::ActorDeleteLink::prev_delete |
( |
void |
|
) |
const [inline] |
|
| void Gecode::ActorDeleteLink::init_delete |
( |
void |
|
) |
[inline] |
|
|
|
Initialize links (self-linked).
Definition at line 1117 of file core.icc. |
| void Gecode::ActorDeleteLink::unlink_delete |
( |
void |
|
) |
[inline] |
|
| void Gecode::ActorDeleteLink::insert_delete |
( |
ActorDeleteLink * |
, |
|
|
bool |
|
|
) |
[inline] |
|
The documentation for this class was generated from the following file:


-
MethodDescriptionMaterialData is no longer used (1.13). Use getCastedBlockData.ItemTypes can be assigned to multiple materials. Use getMaterials.Uses ordinals in place of old integer IDs.Removed in 1.13.Unused in 1.13+net.glowstone.scheduler.GlowScheduler.runTaskTimerAsynchronously
(Plugin, BukkitRunnable, long, long) useCompoundTag.readUniqueId(String, Consumer)
for modern int-array UUID representation.useCompoundTag.tryGetUniqueId(String)
for modern int-array UUID representation.


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Captain America
by Jiayi Xu
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