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I am a seeker of knowledges and all thing in the tech industry. I have been teaching myself how to write code. I have also been taking college classes toward my Computer Science Degree. Most of the skill I have acquired from development have been self-taught. Colleges do not teach student how to code. They just teach fundamentals.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum


--- layout: post title: How Stuff Works Brasil date: '2007-08-26T00:34:00.002-03:00' author: meleu tags: - link modified_time: '2010-03-08T15:05:42.446-03:00' blogger_id: tag:blogger.com,1999:blog-1613465446497619833.post-7658290358093207670 blogger_orig_url: http://mdicas.blogspot.com/2007/08/how-stuff-works-brasil.html ---


|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object javax.swing.text.AsyncBoxView.ChildState
public class AsyncBoxView.ChildState
A record representing the layout state of a child view. It is runnable as a task on another thread. All access to the child view that is based upon a read-lock on the model should synchronize on this object (i.e. The layout thread and the GUI thread can both have a read lock on the model at the same time and are not protected from each other). Access to a child view hierarchy is serialized via synchronization on the ChildState instance.
| Constructor Summary | |
|---|---|
AsyncBoxView.ChildState(View v)
Construct a child status. |
| Method Summary | |
|---|---|
View |
getChildView()
Fetch the child view this record represents |
float |
getMajorOffset()
Get the offset along the major axis |
float |
getMajorSpan()
What is the span along the major axis. |
float |
getMinorOffset()
What is the offset along the minor axis |
float |
getMinorSpan()
What is the span along the minor axis. |
boolean |
isLayoutValid()
Has the child view been laid out. |
void |
preferenceChanged(boolean width,
boolean height)
Mark preferences changed for this child. |
void |
run()
Update the child state. |
void |
setMajorOffset(float offs)
This method should only be called by the ChildLocator, it is simply a convenient place to hold the cached location. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public AsyncBoxView.ChildState(View v)
| Method Detail |
|---|
public View getChildView()
public void run()
This aquires a read lock on the associated document for the duration of the update to ensure the model is not changed while it is operating. The first thing to do would be to see if any work actually needs to be done. The following could have conceivably happened while the state was waiting to be updated:
run
in interface Runnable
Thread.run()
public float getMinorSpan()
public float getMinorOffset()
public float getMajorSpan()
public float getMajorOffset()
public void setMajorOffset(float offs)
public void preferenceChanged(boolean width, boolean height)
width
- true if the width preference has changedheight
- true if the height preference has changedJComponent.revalidate()
public boolean isLayoutValid()
|
JavaTM 2 Platform Standard Ed. 5.0 |
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


public interface IEnvironment extends Serializable
| Modifier and Type | Method and Description |
|---|---|
void |
buildFakeHistoryOn(ICondition condition)
Force to build fake history when a stored object on a particular condition.
|
boolean |
fakeHistoryNeeded() |
BasicIndexedBipartiteSet |
getSharedBipartiteSetForBooleanVars()
Factory pattern : shared IndexedBipartiteSet object is return by the environment
|
int |
getTimeStamp()
Return the current time stamp.
|
int |
getWorldIndex()
Returns the world number.
|
IStateBitSet |
makeBitSet(int size)
Factory pattern: new IStateBitSet objects are created by the environment
|
IStateBool |
makeBool(boolean initialValue)
Factory pattern: new IStateBool objects are created by the environment
|
IStateDoubleVector |
makeDoubleVector(int size,
double initialValue)
Factory pattern: new IStateDoubleVector objects are created by the environment
|
IStateDouble |
makeFloat()
Factory pattern: new StoredFloat objects are created by the environment
(no initial value is assigned to the backtrackable search)
|
IStateDouble |
makeFloat(double initialValue)
Factory pattern: new StoredFloat objects are created by the environment
|
IStateInt |
makeInt()
Factory pattern: new IStateInt objects are created by the environment
(no initial value is assigned to the backtrackable search)
|
IStateInt |
makeInt(int initialValue)
Factory pattern: new IStateInt objects are created by the environment
|
IStateIntVector |
makeIntVector(int size,
int initialValue)
Factory pattern: new IStateIntVector objects are created by the environment
|
IStateLong |
makeLong() |
IStateLong |
makeLong(long init) |
void |
save(Operation operation) |
void |
worldCommit()
Comitting the current world: merging it with the previous one.
|
void |
worldPop()
Backtracks to the previous choice point in the search tree.
|
void |
worldPopUntil(int w)
Backtracks to the
w previous choice point in the tree search |
void |
worldPush()
Starts a new branch in the search tree.
|
int getWorldIndex()
void worldPush()
void worldPop()
void worldPopUntil(int w)
w
previous choice point in the tree searchw
- world index to pop tovoid worldCommit()
void buildFakeHistoryOn(ICondition condition)
ICondition.FALSE
.boolean fakeHistoryNeeded()
IStateBool makeBool(boolean initialValue)
initialValue
- the initial value of the backtrackable booleanIStateInt makeInt()
IStateInt makeInt(int initialValue)
initialValue
- the initial value of the backtrackable integerIStateDouble makeFloat()
IStateDouble makeFloat(double initialValue)
initialValue
- the initial value of the backtrackable searchIStateLong makeLong()
IStateLong makeLong(long init)
IStateBitSet makeBitSet(int size)
size
- initail size of the IStateBitSetIStateIntVector makeIntVector(int size, int initialValue)
size
- the number of entries in the vectorinitialValue
- the common initial value for all entries (backtrackable integers)IStateDoubleVector makeDoubleVector(int size, double initialValue)
size
- the number of entries in the vectorinitialValue
- the common initial value for all entries (backtrackable integers)BasicIndexedBipartiteSet getSharedBipartiteSetForBooleanVars()
void save(Operation operation)
int getTimeStamp()
Copyright © 2015. All rights reserved.


Configuration for the RadioCountToLeds application. RadioCountToLeds maintains a 4Hz counter, broadcasting its value in an AM packet every time it gets updated. A RadioCountToLeds node that hears a counter displays the bottom three bits on its LEDs. This application is a useful test to show that basic AM communication and timers work.


As deep learning is applied to high stakes scenarios, it is increasingly important that a model is not only making accurate decisions, but doing so for the right reasons. Common explainability methods provide pixel attributions as an explanation for a model's decision on a single image. However, using these input-level explanations to understand patterns in model behavior is challenging for large datasets as it requires selecting and analyzing an interesting subset of inputs. By utilizing the human generated bounding boxes that represent ground truth object locations, we introduce metrics for scoring and ranking inputs based on the correspondence between the input’s ground truth object location and the explainability method’s explanation region. Our methodology is agnostic to model architecture, explanation method, and modality allowing it to be applied to many tasks and domains. By aligning model explanations with human annotations, our method surfaces patterns in model behavior when applied to two high profile case studies: a widely used image classification model and a cancer prediction model.
In AI applications such as cancer diagnosis, autonomous driving, and facial recognition, it is crucial to
not only understand model performance, but also the reason behind model decisions. Various prior work has
demonstrated weaknesses in these models — even highly accurate ones — including reliance on
non-salient
regions
In this work, we explore model decisions using saliency methods in conjunction with the ground truth object
bounding boxes provided in
many computer vision datasets. We apply three scoring functions — explanation
coverage, ground truth coverage, and intersection over union — to sort images based on the overlap between the explanation
and
the ground truth object location. By sorting images in this way, we discover insights into when and why the
model was “right for the right reasons”, “wrong for the wrong reasons”, or perhaps most interestingly “right
for the wrong reasons”. We show our methodology is applicable to various model architectures, explanatory
methods, and input data by evaluating on two representative tasks:
ImageNet
Image datasets from domains such as object
detection
In conjunction with ground truth annotations, our method relies on explanation methods (e.g.,
vanilla gradients
Aside from explainability methods, a growing number of techniques have been developed to help users interpret
image models
In our method, we leverage the ground truth annotations along with instance-level explanations to compute coverage scores for each image. By sorting the images using these scores, we are able to query for instances that give us insight into model behavior. Our method only assumes a set of inputs with ground truth regions and explanations regions, making it agnostic to model architecture, dataset, and explanation technique.
We compute three coverage metrics to allow a breadth of exploration: explanation coverage, ground truth coverage, and intersection over union (IoU). Each score takes as input a set of pixels $$GT$$ corresponding to the known ground truth region and a set of pixels $$E$$ corresponding to the explanation region.
As shown in Figure 1, a low score under all three metrics indicates that an image’s explanation region and ground truth region are disjoint. In Figure 2, we show example scenarios using an image classification task. When a correctly classified image has a low score, it often indicates the model was relying on background information such as a snowmobile helmet to make the prediction of snowmobile or train tracks to make the prediction of electric locomotive. When an image has a low score and is incorrectly classified, it can indicate the model is focusing on a secondary object in the image or incorrectly relying on background context (e.g., using snow to predict arctic fox).
Explanation coverage represents the proportion of the explanation region covered by the ground truth region.  Filtering for correctly classified inputs with high explanation coverage can surface instances where a subset of the object, such as the dog’s face, was sufficient to make a correct prediction. Looking at incorrectly classified images with high explanation coverage can help us find instances where the model uses an insufficient portion of the object to make a prediction (e.g., using a small region of black and white spots to predict dalmatian).
Ground truth coverage represents the proportion of the ground truth region covered by the explanation region. High ground truth coverage indicates that the model is using the entire object to make its decision. In Figure 2, we see filtering for correctly classified images with high ground truth coverage uncovers instances where the model relies on the object and relevant background pixels (e.g., the cab and the street), to make a correct prediction. Looking at incorrectly classified instances with high ground truth coverage shows examples where the model overrelies on contextual information such as using the keyboard and person’s lap to predict laptop.
IoU is the strictest metric. A high IoU score indicates the explanation and ground truth are very similar and IoU is maximized when the explanation and ground truth regions are identical. Looking at correctly classified images with high IoU scores can help identify instances where the model was right for the exactly the right reasons. Incorrectly classified images with high IoU scores can surface examples where the image labels are ambiguous such as moped and motor scooter.
4In our first case study, we apply our methodology to an image classification task using a publicly
available PyTorch
In this case study, we apply the model to an ImageNet
We begin our exploration by looking at instances where the model performs well. In particular, we choose to look at images labeled as Jeep that are classified correctly. To see if the explanations correspond to the ground truth regions, we look at images with high IoU scores. We see the model explanations have high agreement with the ground truth regions, suggesting its performance on these images is due to having learned salient features of Jeeps.
Looking at the other end of the score distribution, we filter for correctly classified Jeep images with low IoU scores. Many of the images still have explanations focused on salient features of Jeeps such as their wheels and distinct body shape; however, we notice an example where the explanation region for the class Jeep is focused on a black dog. This may indicate that the model has memorized the existence of the black dog in the image, raising the question of whether the pixels of the dog contain adversarial properties that could cause the model to predict Jeep for any image edited to contain the dog.
Finally, we look at incorrectly classified images with low explanation coverage to determine what causes the model to fail. Images with low explanation coverage have disjoint explanation and ground truth regions. Without looking at the results, we may hypothesize the model makes the incorrect prediction and has a disjoint explanation because it is guessing at random. However, looking at the images we see the main failure mode occurs when the model predicts a secondary object in the image. Despite each image only having a single label and ground truth annotation, we see a large number of images contain multiple objects.
Our method gives insight into the pretrained PyTorch model predictions on vehicle images from ImageNet, showing that the model uses human interpretable explanations for some classes. Further sorting by our metrics allows us to discover the dataset contains images with multiple objects which is unexpected given the images contain a single label and ground truth annotation.
5In our second case study, we evaluate our method using a melanoma diagnostic task. This case study represents
a real-world scenario where AI-based melanoma classification
models
In this case study, we use dermoscopic image data from the ISIC Skin Lesion Analysis Towards Melanoma
Detection 2016 Challenge
We begin our exploration by analyzing correctly classified images with the highest IoU scores. These examples show the instances where the lesion segmentation and explanation region are most similar. We see there are a number of images for which the explanation is focused on the lesion, suggesting the model has learned a relationship between lesion characteristics and malignancy.
Since our model seems to be learning some salient features, we next filter to malignant lesions incorrectly classified as benign. Sorting by low ground truth coverage, we see there are instances where our model makes incorrect predictions relying only on peripheral skin regions. This is particularly concerning in the case of at home risk assessment where a cancerous lesion could be classified as benign due to skin surrounding the lesion.
Since our model incorrectly classified malignant lesions using non-salient background information, we explore if the model can also correctly classify lesions without looking at the lesion. We filter to correctly classified benign lesions and look for images with low explanation coverage. We find a number of images where the model relies on the existence of in-frame dermatological tools to make a benign prediction. While not salient, these dermatological tools only exist in benign images and are sufficient to make a correct classification.
Using our methodology reveals insight into melanoma model behavior showing that while the model uses salient pixels to make some decisions, it dangerously misclassifies malignant tumors due to peripheral skin regions and latches onto spurious dataset features.
6In this work, we present a methodology that enables humans to understand model behavior using the alignment between ground truth object labels and saliency method explanations. Our method is agnostic to model architecture, explanation method, and image dataset, allowing it to be used in a range of applications. Using real world case studies, we show our method allows users to identify where the model is “right for the right reasons”, when the model makes correct predictions using non-salient features, and when the dataset contains unexpected features.
7


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Creating with performance in mind
I'm a back end developer with solid roots in performance testing and a passion for solving puzzles. My strengths include strong analytical skills, the ability to understand applications built on a variety of architectures, and solid communication skills from years of work as a consultant (remote and onsite). My most recent obsessions are Ruby, Rails, Android, Raspberry Pi, Javascript, and CSS.
Over the years, I've truly begun to enjoy public speaking and am proud to have spoken at two conferences. I'm looking forward to future speaking opportunities as I progress in my development career. At my previous job, I was tasked with training all new performance testers (who often started with minimal testing background). That experience led me to search for ways to continue mentoring as I moved out of performance testing and into development. Luckily, I found the GT MentorJackets program and have been volunteering as a mentor for the past two years.
When I'm not sitting at my computer doing programmer things, I enjoy cooking and playing board games with my husband Yang and hanging out with our mini bull terrier Allie (gator).


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Now that we've read in the file we can export it.
void main(int argc, char *argv[]) { printf("VRaniML Pretty Printer\n"); printf("Version 1.0\n\n"); vrBrowser browser; // Read the file (note: we hardcode the filename here for ease // of instruction). Note: Sending NULL to ReadURL will cause // the browser to read from stdin. if (browser.ReadURL("[install_dir]/sample browser/logo.wrl")) { printf("Read status: OK\n"); } else { printf("Read failed\n"); } }
void main(int argc, char *argv[]) { printf("VRaniML Pretty Printer\n"); printf("Version 1.0\n\n"); vrBrowser browser; // Read the file (note: we hardcode the filename here for ease of instruction). // Note: Sending NULL to ReadURL will cause the browser to read from stdin. if (browser.ReadURL("[install_dir]/browser/logo.wrl")) { printf("Read status: OK\n"); vrWriteTraverser wt; browser.Traverse(&wt); } else { printf("Read failed\n"); } }
This program should spit out a lot of VRML 2.0 source code. This is the first version of our Pretty Printer. In the next step we will play with some of the parameters of the vrWriteTraverser.


We gandhabaniks used to be the wealthiest family of Bengal. We have a enchanting past, and we are well known for our traditions.
According to some people during the marriage with Durga, Shiva created the Gandhabaniks to meet the need of perfumes and aromatics. The four of Gandhabaniks, namely the Desh, Shankha or Sangha, Abat or Aut and Santrish or Chhatrish were born out of his forehead, armpits, navel and feet respectively.
It is said that Our forefathers started Gandheshwari puja, Maa Gandheshwari is another form of godess durga.
Search for suitable bride or groom today from our community database. Check our Matrimony website.
Every year before Durga Puja we launch our Gandha Banik Samaj Patrika. Submissions from community. Read 2016-2017 GBS Patrika.
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--- layout: post title: The Body Shop Aqua Lily Shower Gel tags: - The Body Shop status: publish type: post published: true meta: _edit_last: '2' _aioseop_description: The body shop Aqua Lily Gel Douche Shower gel review _aioseop_title: The Body Shop Aqua Lily Shower Gel review _aioseop_keywords: The Body Shop Aqua Lily Shower Gel review, Fragrance shower gel The body shop shower gel, The body shop lily, Lily fragrance _yoast_wpseo_linkdex: '0' _thumbnail_id: '4658' _yoast_wpseo_focuskw: '' _yoast_wpseo_title: '' _yoast_wpseo_metadesc: '' _yoast_wpseo_metakeywords: '' _yoast_wpseo_meta-robots-noindex: '0' _yoast_wpseo_meta-robots-nofollow: '0' _yoast_wpseo_meta-robots-adv: none _yoast_wpseo_sitemap-include: ! '-' _yoast_wpseo_sitemap-prio: ! '-' _yoast_wpseo_canonical: '' _yoast_wpseo_redirect: '' ---
Any product that claims to have calming fragrance always attracts me, after a tiring day of complains and issues nothing can be better than treating yourself with some scented and calming bath. That's what inspired me to pick up this product... and yeah the 15% off tag too..:greedy:
Price: Rs.375 approximately..don't remember My experience: The Body shop Aqua Lily Gel Douche looks pretty through a see through bottle, but isn't that impressive when it comes to stand for its claims. Very mild lily fragrance, which is quite weird and not very much like lily for me. Since I had heard good reviews about it, I am finding it quite strange that the bottle lacks fragrance completely. In other aspects, it lathers quite well so one bottle would last really long. Me not buying again, since neither I found its fragrance enjoyable, nor did any scent stay on the skin or at least in the washroom. Nope nothing at all. But If you like lilly, sniff it at the store before buying...sniff sniff Which is your favorite shower gel? Mine is The body shop Satsume shower gel and The body shop Lemon shower gel... best ever ❤


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/constructive.20zerology.html ---
@Kenny Lau I have a question for you. Do you have a proof without decidable
or classical
of:
lemma closure_empty_iff {α : Type*} [topological_space α] [decidable_eq (set α)] (s : set α) : closure s = ∅ ↔ s = ∅ := begin split ; intro h, { by_contradiction h', cases set.not_eq_empty_iff_exists.1 h' with _ H, simpa [h] using subset_closure H }, { exact (eq.symm h) ▸ closure_empty }, end
Use set.eq_empty_iff_forall_not_mem
instead I think
for this case, contradiction is intuitionistically valid
Thanks Reid!
lemma closure_empty_iff {α : Type*} [topological_space α] (s : set α) : closure s = ∅ ↔ s = ∅ := begin split ; intro h, { rw set.eq_empty_iff_forall_not_mem, intros x H, simpa [h] using subset_closure H }, { exact (eq.symm h) ▸ closure_empty }, end
I'm very slowly working towards proving that the Hausdorff completion of a uniform space X is nonempty unless X is empty. This is no fun at all.
 If anyone here is bored and loves zerology, I think I may need proofs of:
lemma nonempty_iff_univ {α : Type*} : nonempty α ↔ (univ : set α) ≠ ∅ := sorry lemma nonempty_of_nonempty_range {α : Type*} {β : Type*} {f : α → β} (H : ¬range f = ∅) : nonempty α := sorry
What am I allowed to use?
Excluded middle?
Or nothing like this?
Of course I don't care. Again, the goal is to prove the completion is empty only if the original space is empty. And this is only needed to implement Mario's trick allowing to totalize the function "lift to completion" so that any function from a uniform space to a complete Hausdorff space lifts, the lift being garbage is the function is not uniformly continuous.
But at some point we hope to put all this into mathlib, so it would be nicer to avoid unnecessary decidability assumption or classical logic
nonempty
needs data for its constructor, and (univ : set α) ≠ ∅
is only a proposition
You can have a look at https://github.com/PatrickMassot/lean-perfectoid-spaces/blob/completions/src/for_mathlib/completion.lean to see where I stand
Mario style lifting is defined at https://github.com/PatrickMassot/lean-perfectoid-spaces/blob/completions/src/for_mathlib/completion.lean#L124
For the first one you need something like ¬ (∀ a : α, false) → ∃ a : α, true
Maybe I should use inhabited
instead of nonempty
Assuming α is nonempty, the assumption decidable_eq (set α)
implies decidability of all propositions
Or maybe this is too much trouble, given that I already have a working lift for uniformly continuous functions
I'm upset because none of this has any mathematical content
lemma nonempty_iff_univ {α : Type*} : nonempty α ↔ (univ : set α) ≠ ∅ := begin split, { intro H, cases H with a, intro H2, show (∅ : set α) a, rw ←H2, trivial }, intro H, apply classical.by_contradiction, intro H2, apply H, funext, exfalso, apply H2, exact ⟨a⟩ end
I used many of these same theorems in the proof of dense_embedding.extend
for the most part I just brute forced through all of it, using exists_mem_of_ne_empty
to get elements out of nonempty sets
and using mem_closure_iff
to get a nonempty set from a closure
lemma nonempty_of_nonempty_range {α : Type*} {β : Type*} {f : α → β} (H : ¬range f = ∅) : nonempty α := begin apply classical.by_contradiction, intro H2, apply H, unfold range, funext, apply propext, show (∃ y : α, f y = x) ↔ false, split,swap,exact false.elim, intro H3,cases H3 with a Ha, apply H2, exact ⟨a⟩ end
What's the hurry :-)
not so cleaned up:
lemma nonempty_completion_iff : nonempty (completion α) ↔ nonempty α := begin split, { rintro ⟨c⟩, have := eq_univ_iff_forall.1 (to_completion.dense α) c, have := mem_closure_iff.1 this _ is_open_univ trivial, rcases exists_mem_of_ne_empty this with ⟨_, ⟨_, a, _⟩⟩, exact ⟨a⟩ }, { rintro ⟨a⟩, exact ⟨to_completion α a⟩ } end
Many thanks to both of you!
In the mean time I saw Kevin's first lemma proof and then found some courage to write:
lemma nonempty_of_nonempty_range {α : Type*} {β : Type*} {f : α → β} (H : ¬range f = ∅) : nonempty α := begin cases exists_mem_of_ne_empty H with x h, cases mem_range.1 h with y _, exact ⟨y⟩ end
I don't know any of these lemmas which people are using :-)
I find them using lots of suffering
But now I need to understand Mario's proof
I never quite know whether I should somehow attempt to learn exactly what is in mathlib and where it all is
I'm doing a lot of work with multisets at the minute for a student, and now I really know my way around multiset.lean
but I don't know my way around data.set.basic in that way
It's worth a perusal (data.set.lattice is the other important one)
but ideally you should be able to guess beforehand what is in there
rintro ⟨c⟩
is already a nice trick
But then I'm not sure this isn't too efficient. Don't you think closure_empty_iff
should be in mathlib anyway?
I hope rintro
isn't as slow as rsimp
Never noticed any slowness there
If you don't fear rcases
then you don't fear rintro
and, together, they really make a difference in conciseness, without obfuscation (it's all about unpacking stuff that our mind would unpack unconsciously)
Mario, I tried to use your trick in https://github.com/PatrickMassot/lean-perfectoid-spaces/blob/completions/src/for_mathlib/completion.lean#L124 but I needed to assume uniform continuity of f
is decidable. Now I want to state lemmas assuming uniform continuity, but Lean asks me for an instance of decidable (uniform_continuous f)
. Did I do it wrong? What should I do?
since that proof uses only structural tactics, I would normally compress it into a term proof
which proof?
the one I gave
you should have local instance prop_decidable
Oh I will happily add that if you don't tell me this will be an issue when trying to get all this into mathlib
My original version (with unique exists!) had no such assumption, but if course it makes no difference to me
of course cases on uniform continuity is firmly classical, but we are not working in the constructive fragment here
Nice. I should be able to move on tonight. But right now I'm too hungry, I need diner.
Thanks!
totalizing functions often requires classical axioms
I'm done totalizing. Now I'm back exactly where I was yesterday except that, in uniform_space.completion_lift f
, f
is now a function rather than a proof that a function is uniformly continuous. In particular fonctoriality now reads completion_lift (g ∘ f) = (completion_lift g) ∘ completion_lift f
, as it should
All this for the cheap price of a few hours and a local attribute [instance] classical.prop_decidable
And I can see wisdom is coming to Kenny. He didn't write anything about that last classical detail.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


{% extends 'rbase.html' %} {% block title %}Email Sent{% endblock %} {% block content %}
We've sent you an email. Follow the link in the email to reset your password.


Dog Days Are Over
Rabbit Heart (Raise It Up)
I'm Not Calling You A Liar
Howl
Kiss With A Fist
Girl With One Eye
Drumming Song
Between Two Lungs
Cosmic Love
My Boy Builds Coffins
Hurricane Drunk
Blinding
You've Got The Love


 Your partner's value is:{% if player.payoff == 5 %} low (L) {% elif player.payoff == 10 %} medium (M) {% elif player.payoff == 100 %} high (H) {% endif %}. Your partnership points are: {{player.payoff}}. If this market session continues, you will be placed in the waiting list.
{% elif player.wait == 0 and player.match == 0 %}You did not form a partnership. If this market session continues, in the next round you will still be an active player.
{% endif %} {% next_button %} {% endblock %} {% block styles %} {% endblock %} {% block scripts %} {% endblock %}


This section defines the proxy component and object classes used by the factory.
| Factory Component and Object Wrappers | This section defines the proxy component and object classes used by the factory. |
| uvm_component_registry#(T,Tname) | Implementation of uvm_component_registry#(T,Tname), as defined by section <IP_ADDRESS> of 1800.2-2017. |
| uvm_object_registry#(T,Tname) | Implementation of uvm_object_registry#(T,Tname), as defined by section <IP_ADDRESS> of 1800.2-2017. |
| uvm_abstract_component_registry#(T,Tname) | Implementation of uvm_abstract_component_registry#(T,Tname), as defined by section <IP_ADDRESS>.1 of 1800.2-2017. |
| uvm_abstract_object_registry#(T,Tname) | Implementation of uvm_abstract_object_registry#(T,Tname), as defined by section <IP_ADDRESS>.1 of 1800.2-2017. |
Implementation of uvm_component_registry#(T,Tname), as defined by section <IP_ADDRESS> of 1800.2-2017.
| uvm_component_registry#(T,Tname) | |
| Implementation of uvm_component_registry#(T,Tname), as defined by section <IP_ADDRESS> of 1800.2-2017. | |
| Methods | |
| set_type_alias | Sets a type alias for this wrapper in the default factory. |
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
If this wrapper is not yet registered with a factory (see <uvm_factory::register>), then the alias is deferred until registration occurs.
@uvm-contrib This API is being considered for potential contribution to 1800.2
Implementation of uvm_object_registry#(T,Tname), as defined by section <IP_ADDRESS> of 1800.2-2017.
| uvm_object_registry#(T,Tname) | |
| Implementation of uvm_object_registry#(T,Tname), as defined by section <IP_ADDRESS> of 1800.2-2017. | |
| Methods | |
| set_type_alias | Sets a type alias for this wrapper in the default factory. |
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
If this wrapper is not yet registered with a factory (see <uvm_factory::register>), then the alias is deferred until registration occurs.
@uvm-contrib This API is being considered for potential contribution to 1800.2
Implementation of uvm_abstract_component_registry#(T,Tname), as defined by section <IP_ADDRESS>.1 of 1800.2-2017.
| uvm_abstract_component_registry#(T,Tname) | |
| Implementation of uvm_abstract_component_registry#(T,Tname), as defined by section <IP_ADDRESS>.1 of 1800.2-2017. | |
| Methods | |
| set_type_alias | Sets a type alias for this wrapper in the default factory. |
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
If this wrapper is not yet registered with a factory (see <uvm_factory::register>), then the alias is deferred until registration occurs.
@uvm-contrib This API is being considered for potential contribution to 1800.2
Implementation of uvm_abstract_object_registry#(T,Tname), as defined by section <IP_ADDRESS>.1 of 1800.2-2017.
| uvm_abstract_object_registry#(T,Tname) | |
| Implementation of uvm_abstract_object_registry#(T,Tname), as defined by section <IP_ADDRESS>.1 of 1800.2-2017. | |
| Methods | |
| set_type_alias | Sets a type alias for this wrapper in the default factory. |
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
If this wrapper is not yet registered with a factory (see <uvm_factory::register>), then the alias is deferred until registration occurs.
@uvm-contrib This API is being considered for potential contribution to 1800.2
Sets a type alias for this wrapper in the default factory.
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
static function bit set_type_alias( string alias_name )
Sets a type alias for this wrapper in the default factory.
static function bit set_type_alias( string alias_name )


One who plants grapes by the road side, and one who marries a pretty woman, share the same problem.
~ Ethiopian Proverb


atoms energy Figure silicene Phys. graphene free potential temperature surface {border-style Equation substrate px;} #ffffff;} edge Lett. Rev. atom integral effective materials calculations growth internal γ-graphyne armchair step (or Chem. length sheet zigzag ./PhysRevLett.. DIA obtained shown ANS center derived function grain interaction silicon Liu applied conditions difference different material produce px; relative structure {font-family (), adhered area calculated calculating equals experimental font-size form optimum partition simulations ./. According adherence algorithm atoms, based calculate carbon density deposition developed double; initio positive previous results (blue ./PhysRevB.. Lay Wang agreement approach as: border-color border-width calculation configuration definite deposited eV, empirical employed exp felt films functional given instead method minimum moved order problem range sampling smaller solid; substrate, time two-dimensional {font-style {font-weight (red .%, Aufray Brenner DFE FEZ Growth Nano Sci. Science Substrate according algorithms bold condensed configurational coordinates courier; crystal decreased denoted determine determined effect element em; energies error functions gradually hexagons kept layers lowest obtain optimization origin pairwise piece precision pt;} quantum silver simulation small solid stable statistical thermal times using


Sudoku.js
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DURING THE LONG DEVELOPING SOFTWARE, INTERFACE DESIGN WORK HAS NOT BEEN SERIOUSLY RISE. DO INTERFACE DESIGN ALSO IS REFERRED TO AS THE 'ARTIST' DEROGATORY. IN FACT, SOFTWARE INTERFACE DESIGN LIKE INDUSTRIAL MODELLING DESIGN OF INDUSTRIAL PRODUCTS, IS AN IMPORTANT BUY THE PRODUCT.


Non-null types is a type-based approach to detect possible null pointer violations in code statically at compile time. Fähndrich and Leino showed how an object-oriented language such as Java or C# could be extended with non-null types. We have extended JastAddJ Java compiler, in a modular way, to include non-null types. This is an example of how a large JastAdd project can be extended in an easy and declarative way. We have also implemented an inference algorithm to retrofit legacy code to include non-null types.
We provide two tools to support development in Java with non-null types: NonNullChecker, a checker to detect possible null-pointer violations at compile time, and NonNullInference, an inferencer to automatically annotate legacy code with nullness annotations.
The non-null checker relies on type annotations to detect possible null-pointer violations. Consider the code snippet below:
class C { void test() { } public static void main(String[] args) { @NonNull C c1 = new C(); // c1 can only hold non-null values C c2 = null; // c2 can hold possibly-null values c1.test(); // ok: c1 can not be null c2.test(); // error: c2 may be null and the invocation may // throw a null pointer exception c1 = c2; // error: a non-null variable may not be assigned a // possibly null value c2 = c1; // ok: a possibly-null variable may be assigned a // non-null value if(c2 != null) { c1 = c2; // ok: an explicit comparison to null acts as a // safe cast as long as there are no possibly // null assignments in the block } } }
If we run the above program through the non-null checker we get the following output:
> java -jar JavaNonNullChecker.jar C.java Errors: C.java:7: Semantic Error: qualifier c2 may be null C.java:9: Semantic Error: can not assign c1 of type C- a value of type C
The same program can be compiled using a normal Java compiler, but then the possible null-pointer violations would not be detected.
We also provide a non-null inferencer that takes a Java program without nullness annotations and infers some annotations. The annotated code can then be further annotated manually to improve the detection of possible null-pointer violations. The inferencer takes existing annotations into account, so it can be run on partially annotated code to automatically infer more annotations. Consider the following example:
> cat C.java class C { void v() { } public static void main(String[] args) { C c1 = new C(); C c2 = null; c2 = c1; c1.v(); c2.v(); if(c2 != null) { c1 = c2; } } } > java -jar JavaNonNullInferencer.jar -test C.java class C { void v() { } public static void main(@NonNull String[] args) { @NonNull C c1 = new C(); C c2 = null; c2 = c1; c1.v(); c2.v(); if(c2 != null) { c1 = c2; } } }
The tool detects that the local variable c1 will never hold a null value and therefore annotates it with @NonNull. We think it is desirable to have as many variables non-null as possible and therefore annotates parameters as being non-null if there are no calls where they are possibly-null. That is the reason why the args parameter in main is annotated with @NonNull. There are still possible-null pointer violations in the program, e.g., the invocation of v() on c2. Such errors will be detected if we run the annotated source file through the checker as described previously.
The analysis is a whole program analysis so the tool should preferably process a complete project at a time rather than individual source files. The '-test' option instructs the tool to emit the annotated source code to standard output. Otherwise, the tool will generate annotated source files in a folder named 'inferred'. The name of the target folder can be changed using the option '-d'. Further details on command line options are available using -help option.
The inferencer does not infer non-nullness for array elements but only for the array itself. @NonNull String[] is thus a non-null reference to an array where the elements are possibly-null, and this is supported by the current tools. String[@NonNull] is a possibly-null reference to an array where each
element is
non-null which is not supported by the current tools.
The inferencer wants to infer as many non-null valued references as
possible.
If a method is not called it will therefore constrain the parameter
types to be
non-null. This is why we need to do a whole-program analysis when inferring annotations. If we process a project class by class most method
arguments would
be non-null which would cause a lot of errors when later checking another
class that uses that class.
There may still be possible null-pointer violations in the automatically annotated code. Consider the following example. The analysis can not determine the value
of b and the reference o must therefore be possibly null. There is thus no way of
preventing the possible null-pointer dereference when calling toString() on o.
If we run the checker on the annotated code we should thus get an error
that we
are trying to dereference a possibly null valued reference. Such errors
can not
completely be eliminated unless the analysis is exact, in which case we
would
not need anotations at all. The normal usage would be to manually guard such
dereferences by an explicit null check before invoking the method.
String v(boolean b) { Object o = b ? new Object() : null; String s = o.toString(); // possible null-pointer dereference return s; }
The following paper describes how JastAddJ is extended with NonNull type checking and inferencing:
T. Ekman, G. Hedin: Pluggable checking and inferencing of non-null types for Java. Journal of Object Technology, Vol. 6, No. 9, pages 455-475. Special Issue: TOOLS EUROPE 2007, October 2007.
The work by Fähndrich and Leino is available in:
Manuel Fähndrich and Rustan Leino, Declaring and Checking Non-Null Types in an Object-Oriented Language, Proceedings of the 18th ACM Conference on Object-Oriented Programming Systems, Languages, and Applications (OOPSLA'03), Anaheim, CA, October 2003.
The tools are built as extensions to JastAddJ, the JastAdd Extensible Java Compiler. See jastadd.org for information about the repositories for JastAddJ and the extensions.
Build
There are separate ant targets for building the tools, running tests, generating runnable jars, and source jars. E.g.:
> cd NonNullInference > ant > ant test > ant jar > ant source
The build file build.xml builds each tool for Java 5, and including the JSR308 extension. Two additional build scripts support the following variants:


Well I needed a simple, fullscreen, css based, touch/keyboard friendly lightbox/slideshow and here it is! The script takes in a selector, queries it for all items and creates a lightbox/slideshow out of them.
this is the most basic version. The next version will be animated, probably with the popmotion library.
Any tips to make this script a bit more 'pluggable' are most welcome in the comments!


Loading documentation viewer
< Text Index | UI
namespace Screen
Methods for managing the available (fixed) screen space in the application viewport.
This is the documentation page for “Screen (UI.Screen)”, part of the Typescene toolkit.
Typescene | Documentation | Sitemap


CAT!
CAT is a high pressure exam for many, and how to cope is probably a key determinant for cracking this exam. For a lucky few there is no great pressure and this is just another exam to have a go at. If you are one of that brigade, you should probably even skip this article and stay in that carefree bubble. No point thinking and reading about pressure and panic, and planting seeds into the brain.
The Common Admission Test (CAT) is an all-India test conducted by the Indian Institutes of Management (IIMs) as an entrance exam for admission to the Post-graduate and Fellow Programs in management courses of several management institutes all over India including the IIMs. The CAT score is used separately by each institute along with other parameters i.e. academic performance, work experience, group discussion, written assessment and interview performance etc. to select candidates. The weightage assigned to CAT score may differ for each institute. Candidates are advised to read the weightage, process and breakup for each institute on its respective website.
How IIMs choose?
Some of the IIMs take the CAT score on a percentile basis. This tells us that they see the difference between 99.9th percentile and 98.9th percentile as same as that of between 98.9th percentile and 97.9th percentile. And this is daft.  In one way, they are communicating that they now care far less about their entry processes than they did before. This might not matter that much for the big boys - IIMs A, B and C (though they might lose out to global universities). Because they will continue to get first picks. But this dont-care attitude is still unfathomable.
What after CAT?
Post CAT, candidates will go through a second round of testing, the most important component of which is the dreaded personal interview. Now is a good time to revisit some aspects of the interview, with particular stress on the key mistakes.


{% extends 'base.html' %} {% load static %} {% block title %}Home{% endblock title %} {% block content %}
(LIS) is a geographic information system for cadastral and land use mapping, typically used by
local
governments.
An LIS consists of an accurate, current and reliable land record cadastre and its associated attribute and
spatial
data that represent the legal boundaries of land tenure and provides a vital base layer capable of
integration into
other geographic systems or as a standalone solution that allows data stewards to retrieve, create, update,
store, view,
analyze and publish land information.


My Projects, Functions, and IDE
| Project |
Language/IDE |
Function |
Linkable |
Video |
| Factoring Calculator |
Java/BlueJ |
AP CS A Final Project - Object oriented and GUI based |
Eh Sorta |
| LED Controller |
Java/App Inventor |
Maker Faire Project - Control LEDs |
Yesssssssssssssssss |
| Arduino LED Code |
(C/C++)/Arduino IDE |
Maker Faire Project - Microcontroller code |
Yesssssssssssssssss |
|
| Rxn Tester |
Java/App Inventor |
Learn more on Canvas of App Inventor |
Yesssssssssssssssss |
| Sqaure Game |
Java/App Inventor |
Extreme Canvas and algorithm/procedure usage |
Yesssssssssssssssss |
| Hangman/Tic-Tac-Toe |
Java/App Inventor |
Idk I was bored. List usage. Predrawing on Canvas. |
Yesssssssssssssssss |
| Connect 4 |
Java/App Inventor |
Thought'd be fun to make. Component and Ball lists. Nested arrays. |
Yesssssssssssssssss |
| Maze Game |
Java/Snap! |
Was an assignment. |
Not recommended to open |
|
| Ti-84 Projects |
TI-Basic/TI-Connect |
For SAT and ACT but got carried away |
Forgot to put it on here |


dpx::Reader Class Reference
DPX Image Reader class.
More...
#include <DPX.h>
List of all members.
Public Member Functions |
| | Reader () |
| | Constructor.
|
| virtual | ~Reader () |
| | Destructor.
|
| void | SetInStream (InStream *stream) |
| | Set the InStream object to be used to read images.
|
| void | Reset () |
| | clear any caching or memory allocated specific to an image
|
| bool | ReadHeader () |
| | Read the dpx header into the header member.
|
| bool | ReadImage (const int element, void *data) |
| | Read an image element into a buffer.
|
| bool | ReadImage (void *data, const DataSize size=kWord, const Descriptor desc=kRGB) |
| | Read an image element into a buffer that matches the image description type.
|
| bool | ReadBlock (const int element, unsigned char *data, Block &block) |
| | Read a rectangular image block into a buffer from the specified image element.
|
| bool | ReadBlock (void *data, const DataSize size, Block &block, const Descriptor desc=kRGB) |
| | Read a rectangular image block into a buffer from the image element specified by the Descriptor type.
|
| bool | ReadUserData (unsigned char *data) |
| | Read the user data into a buffer.
|
Public Attributes |
| Header | header |
| | DPX header.
|
Protected Attributes |
| InStream * | fd |
| Codec * | codex [MAX_ELEMENTS] |
| ElementReadStream * | rio |
Detailed Description
DPX Image Reader class.
Constructor & Destructor Documentation
| dpx::Reader::~Reader |
( |
|
) |
[virtual] |
Member Function Documentation
Read a rectangular image block into a buffer from the image element specified by the Descriptor type.
- Parameters:
-
| data | buffer |
| size | size of the buffer component |
| block | image area to read |
| desc | element description type |
- Returns:
- success true/false
| bool dpx::Reader::ReadBlock |
( |
const int |
element, |
|
|
unsigned char * |
data, |
|
|
Block & |
block | |
|
) |
| | |
Read a rectangular image block into a buffer from the specified image element.
block - this contains the square block of data to read in.
- Parameters:
-
| element | element (0-7) |
| data | buffer |
| block | image area to read |
- Returns:
- success true/false
The data elements in this structure need to be normalized Left to Right, Top to Bottom.
| bool dpx::Reader::ReadHeader |
( |
|
) |
|
Read the dpx header into the header member.
- Returns:
- success true/false
| bool dpx::Reader::ReadImage |
( |
void * |
data, |
|
|
const DataSize |
size = kWord , |
|
|
const Descriptor |
desc = kRGB | |
|
) |
| | |
Read an image element into a buffer that matches the image description type.
The DataSize allows the user to specific the buffer DataSize which can differ from the image element. It is possible, for example, to read an 8-bit per component (3 components per pixel for RGB) into 16-bits.
- Parameters:
-
| data | buffer |
| size | size of the buffer component |
| desc | element description type |
- Returns:
- success true/false
| bool dpx::Reader::ReadImage |
( |
const int |
element, |
|
|
void * |
data | |
|
) |
| | |
Read an image element into a buffer.
the size of the buffer must be large enough simple calculation would be: width * height * num_of_components * size_of_component
- Parameters:
-
| element | element (0-7) |
| data | buffer |
- Returns:
- success true/false
| bool dpx::Reader::ReadUserData |
( |
unsigned char * |
data |
) |
|
Read the user data into a buffer.
Buffer must be large enough to hold the user data.
- Parameters:
-
- Returns:
- success true/false
| void dpx::Reader::Reset |
( |
|
) |
|
clear any caching or memory allocated specific to an image
| void dpx::Reader::SetInStream |
( |
InStream * |
stream |
) |
|
Set the InStream object to be used to read images.
- Parameters:
-
| stream | Object to use for low level reads |
Member Data Documentation
The documentation for this class was generated from the following files:
- /Users/patrick/Development/DPX/svn/source/DPX.h
- /Users/patrick/Development/DPX/svn/source/Reader.cpp


{% extends "base.html" %} {% load crispy_forms_tags %} {% load url %} {% load bleach %} {% load random_encode %} {% block title %} Try-out Algorithm - {{ block.super }} {% endblock %} {% block script %} {{ block.super }} {{ form.media }} {% endblock %} {% block breadcrumbs %}
{% endblock %} {% block content %}You have run out of credits to try this algorithm. You can request more credits by sending an e-mail to<EMAIL_ADDRESS>{% else %}Select the data that you would like to run the algorithm on.
{% if form.jobs_limit > 0 %} You receive {{ request.user.user_credit.credits }} credits per month. Using this algorithm requires {{ algorithm.credits_per_job }} credit{{ algorithm.credits_per_job|pluralize }} per job. You can create up to {{ form.jobs_limit }} job{{ form.jobs_limit|pluralize }} for this algorithm. {% endif %}
By running this algorithm you agree to the General Terms of Service{% if algorithm.additional_terms_markdown %}, as well as this algorithm's specific Terms of Service: {% else %}. {% endif %}
{{ algorithm.additional_terms_markdown|md2html }} {% endif %} {% endblock %}


Review by John Beachem
* * * 1/2
Directed by: Mike Nichols Written by: Garry Shandling (story), Michael Leeson
How do you think an alien would react if forced to experience the trials of human dating rituals? This is the main idea behind "What Planet are you From?", the new comedy from director Mike Nichols ("Primary Colors", "The Birdcage"). Garry Shandling ("The Larry Sanders Show"), who also developed the film's story, plays the lead role. The truth is, I went into this movie not expecting a whole lot out of Shandling. I've never cared for his previous roles, and the previews looked somewhat bland. Much to my surprise, "What Planet are you From?" turned out to be quite an enjoyable movie with fairly consistent laughs throughout. This is mainly because not only does Shandling do an admirable job, but he is surrounded by a great supporting cast.
 Harold Anderson (Garry Shandling) has been chosen to procreate with a female from Earth. His planet's leader (Ben Kingsley) prepares him with the necessary training (in a very amusing opening scene) and gives him two days to conceive a child. However, upon his arrival, Anderson finds that his training has not prepared him for the illogical behavior of humans. He immediately seeks help from a co-worker (Greg Kinnear) and is soon introduced to a suitable mate named Susan (Annette Bening). Anderson is faced with two problems now: First, Susan will only mate with him after they are married, and second, his arrival on the planet has aroused the suspicions of an airport employee (John Goodman) who soon discovers who Anderson really is.
I think the funniest thing about Shandling's performance throughout "What Planet are you From?" is that he reacts to everything thrown at him in such a logical manner. For example, in one scene Susan is upset with Harold for watching television rather than paying attention to her. She hurls the remote against the wall, smashing it. Harold immediately decides to purchase a new remote, which further infuriates Susan. She then shouts "Fine, just go!" Harold promptly nods his head and leaves. Annette Bening is perfectly cast as Susan, managing somehow to look hassled, angry, and deeply confused all at once. She also manages to save Shandling at times when his lack of experience in a leading role begins to show.
The supporting cast is, in fact, one of the best things about this film.  Ben Kingsley ("Species", "Schindler's List") is a great choice as the straight as an arrow ruler of Anderson's planet, though he is a bit underused. John Goodman ("The Big Lebowski"), who I believe is one of the best comic actors in Hollywood, is hilarious in his role as the one man who thinks he knows the truth. One of the biggest problems I had with the film was that Goodman was so underused that his character seemed rather pointless. Linda Fiorentino ("Dogma") makes a brief appearance as Kinnear's wife, and Janeane Garofolo shows up in a cameo as an airline passenger.
The film may not make a whole lot of sense, since we are never told just how Anderson's impregnating a woman will bring about the downfall of the species, but plot isn't exactly the point here. While "What Planet are you From?" manages to keep the humor going through the majority of its length, things do get a bit too sappy and sentimental towards the end. If it had been trimmend down some from its 112 minute running time I probably would have given it four stars. One last thing I must note is that Annette Bening plays a real-estate agent in the film ("American Beauty", anyone?). For a very funny script, a surprisingly good turn by Garry Shandling, and a great supporting cast, I give "What Planet are you From?" three and a half out of five stars.
Comments? Feel free to e-mail them to<EMAIL_ADDRESS>For past reviews, movie news, and other fun stuff, visit: http://www.dependentfilms.net
* * * * * - One of the greatest movies ever made, see it now. * * * * - Great flick, try and catch this one. * * * - Okay movie, hits and misses. * * - Pretty bad, see it only if you've got nothing better to do. * - One of the worst movies ever made. See it only if you enjoy pain.
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


Tracing hackers/keyloggers?
Posted: Wed Jul 25, 2007 1:18 am
earlier tonight i was thinking about how my xenimus account was hacked...
Karl, is there a way of recording what isp logs on to an account? and is there a way of recording that information, and or tracking it?
that way when someone says they were hacked you can just look up what computers have gained access to their account. and see what accounts that computer has access to. that way you can trace gear, delete the proper accounts... (the ones the hackers actually play, not some noob account) ...and possibly even block an isp address.
just trying to think of ways to make it a cleaner atmosphere to play.
Ej always claims he will delete accounts if they are found to be cheating... it is VERY rare he acctually does... anymore.
Karl, is there a way of recording what isp logs on to an account? and is there a way of recording that information, and or tracking it?
that way when someone says they were hacked you can just look up what computers have gained access to their account. and see what accounts that computer has access to. that way you can trace gear, delete the proper accounts... (the ones the hackers actually play, not some noob account) ...and possibly even block an isp address.
just trying to think of ways to make it a cleaner atmosphere to play.
Ej always claims he will delete accounts if they are found to be cheating... it is VERY rare he acctually does... anymore.


Talented watch live sermons, past sermons, make prayer requests, book service seat, book event, access church content & resources, give offering, tithe, donations and project contributions
Talent hire: create and manage members, ministries, givings, donations, projects, content, eShop & Resources for your congregants in our robust, user friendly church admiistrative web portal


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This is paragraph c6957ef5-276c-4722-9de5-ea543bd4c8b4
This is paragraph 31abd666-4534-4591-ac52-d2023b9b39b3


--- layout: post esbma_id: 1493 date: 2003-11-24 12:10:00 keywords: cornsharp title: If there were fire here, I wouldn't be smoking ---
Folks, I simply couldn't resist writing my blog posting on Friday about SourceGear applying for the VSS dev lead opening. But I don't want to mislead anybody, so I'd like to clarify:
I am not suggesting that anything is going on. Actually, the fact that I posted this blurb is proof that nothing is going on. When two companies are in serious discussions about acquisition, nobody is allowed to breathe a word about it. If something were going on, my blog posting would have been highly inappropriate.
My posting was just for fun. Around 14 years ago, I turned down an opportunity to spend my software career at Microsoft. I don't regret that decision, because it was the right one to make at the time. But it's always interesting to wonder about the road not taken. Given the right opportunity to become a Microsoft employee, I'd love the chance. I am somewhat of an arrogant know-it-all, so I still think I would fit right in.
This stuff is just idle rambling. I've already got a darn good job. Our customers like using our products and we like building them.


Ingredients
- 1 heaping tablespoon (20 mL) virgin coconut oil or olive oil
- 4 cups peeled (if necessary) and diced veggies*
- 1/2 cup (100 g) uncooked red lentils
- 1/2 cup (125 mL) water, plus more if needed
- 1 (14-ounce/398 mL) can diced tomatoes
- 1 (14-ounce/398 mL) can light coconut milk
- 1 1/2 teaspoons (7.5 mL) garlic powder
- 1 1/2 teaspoons (7.5 mL) minced onion**
- 1 tablespoon (15 mL) good curry powder, or to taste***
- 3/4 to 1 teaspoon fine sea salt, to taste
- Freshly ground black pepper, to taste
Directions
- In a large pot, melt the coconut oil over low-medium heat.
- Peel (if necessary) and dice the veggies into 1/2-inch pieces. Add them into the pot and stir until combined. Increase heat to medium.
- Add in the rest of the ingredients (lentils, water, diced tomatoes (with juices), coconut milk, all the spices, salt, and pepper). Stir until combined.
- Increase heat to high and bring to a low boil. Reduce heat to medium and cook, uncovered, for 18 to 30 minutes, until the veggies and lentils are tender; the cook time will depend on the types of veggies you use, and their size. Stir the dal frequently while cooking, and reduce the heat if necessary to prevent it from sticking to the pot. (If you’re using potatoes, I suggest covering the pot while cooking since they don’t contain as much water to “cook off”. You may need to add more water to thin the mixture.)
- If desired, serve over rice, and garnish with cilantro and lime (it’s still great without these additions, though!).
Notes
Serving suggestions: Cooked basmati rice or grain of choice
*You can use any veggies you like here! Whatever is lurking in your kitchen, feel free to try it out. A few ideas for combos include the following: carrot and zucchini, potato and peas, sweet potato and red pepper, broccoli and zucchini, cauliflower and/or broccoli.
**Minced (or flaked) onion is less concentrated than onion powder. Onion powder will work as a substitute if that’s what you have on hand, but I would suggest starting with a small amount and adding it to taste in ¼-teaspoon increments to avoid it overpowering the dish.
***I use Simply Organic brand of curry powder. If you don’t have a favourite curry powder blend on hand, you can substitute the following: 1 1/2 teaspoons ground turmeric, 1 1/2 teaspoons ground coriander, 1 teaspoon ground cumin, 1/2 teaspoon ground ginger (or more to taste), and 1/4 teaspoon cayenne pepper (optional). Don’t forget to use the 1 1/2 teaspoons of both garlic powder and minced onion, as well.
Recipe is from this website


{% extends "base.html" %} {% block content %}
Welcome to the RMIT Cloud Computing assignment from semester 2 2019 ✌
Get started by either going to the pre-filtered searches or will out a form!


Order Harmony API
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HTML 5 framework written by Twitter
PHP programming used for the API and backend
Javascript framework
Shopping Cart written in Javascript
Communication protocol used between OrderHarmony and the web
Cloud Hosting platform for PHP code
Cloud source control
Online IDE


Before Change
setproctitle.setproctitle("ray::IDLE")
elif mode is LOCAL_MODE:
if job_id is None:
job_id = JobID.from_int(random.randint(1, 65535))
worker.worker_id = ray.utils.compute_driver_id_from_job(
job_id).binary()
else:
// This is the code path of driver mode.
After Change
worker.worker_id = ray.utils.compute_driver_id_from_job(
job_id).binary()
if mode is not SCRIPT_MODE and setproctitle:
setproctitle.setproctitle("ray::IDLE")
if not isinstance(job_id, JobID):
raise TypeError("The type of given job id must be JobID.")
// All workers start out as non-actors. A worker can be turned into an actor


Your organisation ({{ owner }}) has already accepted the GOV.UK Notify data sharing and financial agreement. You can download a copy.
The agreement contains commercially sensitive information, so don’t share it more widely than you need to.


This page requires local storage to save state.
2021/8/11: Images for Yoimiya and Sayu. Added Thundering Pulse(Bow). Added the ability to search for a character by name.
2021/6/30: I am currently taking a break from Genshin. If you notice anything missing please create a bug report and I will add it.
This page may take a moment to load.
Data is primarily sourced from in game and, if needed, verified with The fandom wiki
Pre release character and weapon materials are sourced from Honey Impact and then verified in game.
Notice of Non-Affiliation
This site is not affiliated, associated, authorized, endorsed by, or in any way officially connected with any other company, agency or government agency. The information on this website is provided “as is” without any representations or warranties, express or implied.
All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
(warning not reversible)


- Release 0.3.0 *
Housekeeping
- Support for a bunch of platforms has been added (Windows, Ubuntu, Ruby 1.9)
- git_remote_branch now has actual online documentation: grb.rubyforge.org
- give useful error message if grb can’t find the git executable
Features
- track now works even if you already have a local branch of the same name
- it uses git config instead of branch —track in that case
- the difference can be seen by running
- grb explain track master
- grb explain track non_existent_branch
- Let you force the usage of a specific git executable by setting the environment variable GRB_GIT to point to it. It’s pretty much undocumented for now, except for this mention :-) The tests for the useful error message use this feature. So it works.
- Release 0.2.6 * Three new actual features
- grb rename, contributed by Caio Chassot (caiochassot.com)
- grb publish, to make available and track a local branch
- the —silent option, if you want to use grb in a script
And other stuff
- the grb bin file now works when symlinked (also thanks to Caio Chassot)
- Lots and lots of unit and functional tests
- bug fixes
- more flexibility for running grb outside of a git repository (e.g. for ‘explain’ or ‘help’)
- Now officially under the MIT license
- refactored a bunch of rake tasks
Versions lost in time: 0.2.1, 0.2.2, 0.2.3, 0.2.4


Vue Widget
{{ title }} - {{ author }} - {{ age }}
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Our Process
Identify
We focus on the most important details.
Understand
We study our projects inside out.
Execute
We put everything we have into our work.
We focus on the most important details.
We study our projects inside out.
We put everything we have into our work.
Coming soon
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Phone<PHONE_NUMBER>
E-Mail<EMAIL_ADDRESS>Twitter: @test


Using AOP / PostSharp to implement a function cache
I just posted this comment on codeproject :
I just discovered this a few hours ago, and I allready wrote a small but very helpfull attribute : a attribute to cache constant but timeconsuming function calls.
If you have a function that takes a lot of time to generate, but the result set is actually the same each time for a certain parameter set, you simply need to define it as follows :
(code is written in VB since we're using vb @ work here)
Module Module1
Sub Main()
Console.WriteLine("calling Div2 for i = 1", DoDiv2(1))
Console.WriteLine("calling Div2 for i = 2", DoDiv2(2))
Console.WriteLine("calling Div2 for i = 1", DoDiv2(1))
Console.ReadLine()
End Sub
<Cacheable()> _
Function DoDiv2(ByVal i As Integer) As Double
Console.WriteLine("running Dodiv2 for " + i.ToString())
Return i / 2
End Function
End Module
If you run this code, you will see that the function only gets executed once for parameter value 1; the second time it just searches the cached dictionary. This avoids having the same code all over the project caching calculated values !!! It is a huge timesaver and makes you code much more maintainable...
The attribute itself was written like this :
Imports ps = PostSharp.Laos
<Serializable()> _
<System.AttributeUsage(AttributeTargets.Method, Inherited:=True, AllowMultiple:=False)> _
Public Class CacheableAttribute
Inherits ps.OnMethodInvocationAspect
Shared x As New Hashtable
Public Overrides Sub OnInvocation(ByVal pEventArgs As PostSharp.Laos.MethodInvocationEventArgs)
Dim o() As Object = pEventArgs.GetArguments()
Dim i As Integer = 0, obj As Object
For Each obj In o
i += obj.GetHashCode()
Next
If Not x.Contains(i) Then
x(i) = pEventArgs.Delegate.DynamicInvoke(o)
End If
pEventArgs.ReturnValue = x(i)
End Sub
End Class
And this in such a short time period. Thanks a lot !!!
BTW(Youve got my 5 on both articles)


##Pathology Detection Quality
###Polyp and sample location
A difficult area is the assessment of endoscopic quality by looking at the pathology processed from an endoscopy. This package is excellent at dealing with this kind of question because of its ability to merge the datasets together:
A particularly well developed area to look at is that of the Global Rating Scale for assessing the quality of colonoscopy. One of the metrics- the adenoma detection rate assesses the number of colonoscopies where at least one adenoma was detected.
One function is provided to produce a table that gives the number of adenomas, adenocarcinomas and hyperplastic polyps (also as a ration to adenomas) by endoscopist therefore immediately fulfilling the GRS requirement for the ADR as well as providing further metrics alongside.
Having made sure the text is prepared (using the textPrep function) and merged with Pathology reports (which have also been textPrep’d) we can go straight ahead and use the function GRS_Type_Assess_By_Unit on one of our example datasets called vColon (the format of the dataset can be seen in the Data vignette. Here we will use the columns “ProcedurePerformed”,“Endoscopist”, “Diagnosis” and “Histology” to calculate the adenoma detection rate, as well as the rate of detection of adenocarcinoma, high grade dysplasia, low grade dysplasia, serrated adenomas and hyperplastic adenomas.
data(vColon) nn<-GRS_Type_Assess_By_Unit( vColon, "ProcedurePerformed", "Endoscopist", "Diagnosis", "Histology")
| Endoscopist | Adenoma | Adenocarcinoma | HGD | LGD | Serrated |
|---|---|---|---|---|---|
| Dr. al-Huda, Ummu Kulthoom | 0 | 0 | 0 | 0 | 0 |
| Dr. al-Saade, Waajida | 0 | 0 | 0 | 0 | 0 |
| Dr. Confer, Mouneek | 0 | 0 | 0 | 0 | 0 |
| Dr. Gebregzabheir, Kiara | 0 | 0 | 0 | 0 | 0 |
| Dr. Hasling, Emily | 0 | 0 | 0 | 0 | 0 |
| Dr. Monroe, Danjai | 0 | 0 | 0 | 0 | 0 |
| Dr. Phillips, Harlie | 0 | 0 | 0 | 0 | 0 |
| Dr. Rahat, Janisa | 0 | 0 | 0 | 0 | 0 |
| Dr. Rubio, Jessica | 0 | 0 | 0 | 0 | 0 |
| Dr. Steinbach, Lindsey | 0 | 0 | 0 | 0 | 0 |
| Hyperplastic | n |
|---|---|
| 0 | 204 |
| 0 | 217 |
| 0 | 217 |
| 0 | 190 |
| 0 | 220 |
| 0 | 232 |
| 0 | 235 |
| 0 | 218 |
| 0 | 181 |
| 0 | 191 |
This of course can then be graphed using the pre-formatted function EndoBasicGraph
EndoBasicGraph(nn, "Endoscopist", "Adenocarcinoma")


--- title: "Download" layout: "default" ---
Haxeflixel is available to use on Linux, Mac or Windows. You will need to have Haxe 3 and OpenFL installed and working.
If you need help setting this up, please see the Getting Started article.
We recomend you use Haxelib with the following command:
haxelib install flixel
To download the latest stable code use master branch, or this link to the zip:
We also recommend users inspect the Demos to see Flixel features in use.
The documentation and forums provide the main source of community created docs, support and resources.
For advanced Developers the source code is available and open for contributions on github, bleeding edge code is on the dev branch;


Asynchronous JavaScript and XML
AJAX is a Javascript technique that allows you to update an application's view and controller(and consequently the model) without continuously refreshing the page.
This is important since now we can access an application's controller, whereas before we could only change an application's views.
Let's walk through the workflow of a particular AJAX challenge.
- Include the JS file in your layout.erb view
- Check out your app/views
- Create your JavaScript File.(needs to select HTML nodes and call the AJAX method)
- Modify your app/controllers. Since we are expecting information in our JS file from an HTTP route, we need to remove redirect'/' and put in a JSON generator


Profile
Name: {{ profile.name }}
Surname: {{ profile.surname }}
Date of birth: {{ profile.date_of_birth }}
Location: {{ profile.location }}
Interests: {{ profile.interests }}


KrakenDS is made by integration developer Israel Cruz for integration developers, and is 100% FREE under the Apache License, Version 2.0 (SPDX short identifier: Apache-2.0)


 When a person goes to a web page like www.google.com, their computer sends a HTTP Request to a server. The server finds the appropriate HTML document and sends it back to the user's computer where a web browser interprets the page and displays it on the user's screen
HTML stands for Hypertext Markup Language. HTML documents form the majority of the content on the web. HTML documents contain text content which describes "what you see" and markup which describes "how it looks". This video gives a good overview.
HTML documents are made of HTML elements. When writing HTML, we tell browsers the type of each element by using HTML tags.  This makes them very unforgiving since a small mistake by a programmer can cause huge problems in a program.
HTML elements are either inline or block. Block elements form an "invisible box" around the content inside of them.
You can access basic website strucutures from inside developer tools within browsers. For example within Google Chrome by right clicking and clicking on "Inspect Element"
The "tree-like structure" comes from the fact that HTML elements can have other elements inside of them. You can draw this relationship like a family tree. My mother had multiple children. So did her mother, and so on... In a browser, this structure shows up as a series of nested boxes. There are boxes inside of boxes inside of boxes, and so on...
When you read an HTML document as text, you see a wave of changing indentations going up and down the left side of the document. The more indented an element is, the more deeply nested its corresponding "box" is.
When writing code, programmers use special text editors (like Sublime Text for example). These editors make the programmer's life easier. For example, some text editors will automatically generate a closing HTML tag when you write an opening tag.
CSS stands for Cascading Style Sheets and they give programmers a way to control the style of related HTML elements. This is done by giving similar HTML elements the same class name and then specifying the style that should apply to that class.
Avoiding repetition is important for a variety of reasons:
Avoiding Errors: When programmers don't avoid repetition, they will often have to do the same thing over and over. This may mean copy and pasting certain style attributes into many HTML elements or rewriting the same code (sometimes with minor differences) many times. This can lead to errors when the programmer decides to make a change to something. If they don't dilligently make that same change everywhere the repeated code appears, problems will arise.
Consistency: In this web page, I wanted every lesson to look the same. Instead of manually giving each one the same style, I was able to assign each lesson div the same class and then specify the style for that class in only one place! By avoiding repetion, it's now very easy for me to make changes to this style.


Priyanka Chopra congratulates Jonas Brothers on bagging Grammy nominations
Priyanka heaped the praises on the singer brothers by taking to her Twitter.
by ANINew Delhi: As Jonas Brothers received the official nomination for Grammys 2020 on Wednesday, Priyanka Chopra congratulated her husband Nick Jonas and his brothers Joe and Kevin Jonas for the milestone.
Priyanka heaped the praises on the singer brothers by taking to her Twitter. She posted small footage wherein Nick, Kevin and Joe can be seen rehearsing and playing a few instruments.
 I love you @nickjonas @joejonas @kevinjonas @RecordingAcad #GRAMMYs," she wrote alongside the clip.
The big day for the pop-rock band came after a long time as they received their last nominations under the category Best New Artist back in 2008.
The Jonas Brothers have been nominated under the category Best Pop Duo/Group Performance for their latest track 'Sucker', whose music video also stars Priyanka and Sophie Turner.
Along with Jonas Brothers, Shawn Mendes and Camila Cabello's 'Senorita' have also been nominated in the same category.
The prestigious awards will be presented in 84 categories to honour the best performers of the industry who have had their releases between October 1, 2018, and August 31.
Meanwhile, the 37-year-old actor is currently shooting for her next 'The White Tiger' in the national capital.
The film is based on the Booker Prize-winning book of the same name by Aravind Adiga.
Ramin Bahrani, who recently directed Michael B. Jordan and Michael Shannon starrer 'Fahrenheit 451,' will be directing the project, reported The Hollywood Reporter.
Apart from PeeCee and Rajkummar, newcomer Adarsh Gourav will also be seen in the film produced by Mukul Deora.
The book is about the story of an extraordinary journey of a self-made man from a tea-shop worker in a village to a successful entrepreneur in a big city.


howto Hosting a Ghost Blog in GitHub - the easier way When I was planning the reboot of my website, I seriously considered using Ghost. In the end I decided to use Hugo, but in the process discovered that it is possible to host a statically-generated Ghost website using GitHub Pages.


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Calculate change point based on spectral clustering with the option to automatically calculate the number of clusters if this information is not available.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | stats, abind |
| Published: | 2018-10-19 |
| Author: | Luis Uzai [aut, cre] |
| Maintainer: | Luis Uzai <uzai_ff at hotmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | SpecDetec results |
| Reference manual: | SpecDetec.pdf |
| Package source: | SpecDetec_1.0.0.tar.gz |
| Windows binaries: | r-devel: SpecDetec_1.0.0.zip, r-release: SpecDetec_1.0.0.zip, r-oldrel: SpecDetec_1.0.0.zip |
| OS X binaries: | r-release: SpecDetec_1.0.0.tgz, r-oldrel: SpecDetec_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SpecDetec to link to this page.


Custom element Slider represents a flexible Slider that lets the user select from a range of values by moving a thumb along a track. The widget is completely customizable in terms of appearance and offers numerous configuration options like mouse wheel and keyboard support, smooth or step-based slider and support for range sliders.


{% extends "base.html" %} {% block head %} {% endblock %} {% block title %} Emend > iPhone {% endblock %} {% block header %} > iPhone {% endblock %} {% block content %}
If you have an iPhone or iPod Touch and the iPhone OS 3.0 software update, you should be able to easily use Emend on the go. Follow these steps to learn how.
Step 1: In Safari, drag the bookmarklet (Emend) to your Bookmarks Toolbar. Then synchronize your iPhone. Make sure you have specified to “Sync Safari bookmarks” in iTunes.
Step 2: On your iPhone, find a page desperately in need of copy editing. Tap and hold to select a word, then drag the sliders to select the desired phrase. Tap “Copy” to save the phrase to your clipboard.
Step 3: Invoke Emend by selecting the bookmarklet, which should be in your “Bookmarks Bar”.
Step 4: Emend should load with the page's URL already filled in. You will probably have to log in first with your Google Account.
Step 5: Focus on the “Original” field and tap “Paste”. Repeat for the “Proposal” field.
Step 6: Alter the proposal to fix the mistake, in this case “mocktail” should be “cocktail”.
Step 7: Tap “Submit proposal”, and you're done!


public class TlsTestConfig
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
CLIENT_AUTH_INVALID_CERT
Client will authenticate if it receives a certificate request, with an invalid certificate
|
static int |
CLIENT_AUTH_INVALID_VERIFY
Client will authenticate if it receives a certificate request, with an invalid CertificateVerify signature
|
static int |
CLIENT_AUTH_NONE
Client does not authenticate, ignores any certificate request
|
static int |
CLIENT_AUTH_VALID
Client will authenticate if it receives a certificate request
|
int |
clientAuth
Configures the client authentication behaviour of the test client.
|
SignatureAndHashAlgorithm |
clientAuthSigAlg
If not null, and TLS 1.2 or higher is negotiated, selects a fixed signature/hash algorithm to
be used for the CertificateVerify signature (if one is sent).
|
SignatureAndHashAlgorithm |
clientAuthSigAlgClaimed
If not null, and TLS 1.2 or higher is negotiated, selects a fixed signature/hash algorithm to
be _claimed_ in the CertificateVerify (if one is sent), independently of what was actually used.
|
boolean |
clientCheckSigAlgOfServerCerts
Control the result the client will return from
TlsPeer.shouldCheckSigAlgOfPeerCerts() . |
int |
clientCrypto |
boolean |
clientFallback
Configures whether the client will indicate version fallback via TLS_FALLBACK_SCSV.
|
boolean |
clientSendSignatureAlgorithms
Configures whether a (TLS 1.2+) client will send the signature_algorithms extension in ClientHello.
|
ProtocolVersion[] |
clientSupportedVersions
Configures the supported protocol versions for the client.
|
static int |
CRYPTO_BC |
static int |
CRYPTO_JCA |
static boolean |
DEBUG |
int |
expectFatalAlertConnectionEnd
Configures the connection end that a fatal alert is expected to be raised.
|
short |
expectFatalAlertDescription
Configures the type of fatal alert expected to be raised.
|
static int |
SERVER_CERT_REQ_MANDATORY
Server will request a client certificate and receiving one is mandatory
|
static int |
SERVER_CERT_REQ_NONE
Server will not request a client certificate
|
static int |
SERVER_CERT_REQ_OPTIONAL
Server will request a client certificate but receiving one is optional
|
SignatureAndHashAlgorithm |
serverAuthSigAlg
If not null, and TLS 1.2 or higher is negotiated, selects a fixed signature/hash algorithm to
be used for the ServerKeyExchange signature (if one is sent).
|
int |
serverCertReq
Configures whether the test server will send a certificate request.
|
java.util.Vector |
serverCertReqSigAlgs
If TLS 1.2 or higher is negotiated, configures the set of supported signature algorithms in the
CertificateRequest (if one is sent).
|
boolean |
serverCheckSigAlgOfClientCerts
Control the result the server will return from
TlsPeer.shouldCheckSigAlgOfPeerCerts() . |
int |
serverCrypto |
ProtocolVersion |
serverNegotiateVersion
Configures a protocol version the server will unconditionally negotiate.
|
ProtocolVersion[] |
serverSupportedVersions
Configures the supported protocol versions for the server.
|
| Constructor and Description |
|---|
TlsTestConfig() |
| Modifier and Type | Method and Description |
|---|---|
void |
expectClientFatalAlert(short alertDescription) |
void |
expectServerFatalAlert(short alertDescription) |
public static final boolean DEBUG
public static final int CLIENT_AUTH_NONE
public static final int CLIENT_AUTH_VALID
public static final int CLIENT_AUTH_INVALID_CERT
public static final int CLIENT_AUTH_INVALID_VERIFY
public static final int CRYPTO_BC
public static final int CRYPTO_JCA
public static final int SERVER_CERT_REQ_NONE
public static final int SERVER_CERT_REQ_OPTIONAL
public static final int SERVER_CERT_REQ_MANDATORY
public int clientAuth
public SignatureAndHashAlgorithm clientAuthSigAlg
public SignatureAndHashAlgorithm clientAuthSigAlgClaimed
public boolean clientCheckSigAlgOfServerCerts
TlsPeer.shouldCheckSigAlgOfPeerCerts()
.public int clientCrypto
public boolean clientFallback
public boolean clientSendSignatureAlgorithms
public ProtocolVersion[] clientSupportedVersions
public SignatureAndHashAlgorithm serverAuthSigAlg
public int serverCertReq
public java.util.Vector serverCertReqSigAlgs
public boolean serverCheckSigAlgOfClientCerts
TlsPeer.shouldCheckSigAlgOfPeerCerts()
.public int serverCrypto
public ProtocolVersion serverNegotiateVersion
public ProtocolVersion[] serverSupportedVersions
public int expectFatalAlertConnectionEnd
public short expectFatalAlertDescription


This is a collection of tricks for handling the offspring your processes fork and related topics.
When using processes instead of threads, you will sooner or later have to
handle signals using Kernel.trap
.4 To be able to integrate this
nicely with the rest of your code that probably blocks in
Cod.select
as much as possible, you can use the self-pipe
trick.
Rather than cover what a self-pipe is again, I refer you to the extensive documentation online. ’cause this is an old trick!
Using cod, it boils down to this:
self_pipe = Cod.pipe.split
# Register a handler for USR1
trap(:USR1) { self_pipe.write.put :USR1 }
Process.kill(:USR1,
Process.pid)
# Do something without worrying about signals
# Here's the advantage of self-pipe: You can
# decide when to listen for signals. Otherwise
# trap is very preemptive.
self_pipe.read.get # => :USR1
Did you notice that a split pipe returns an array that also answers to
#read
and #write
? This is useful for when you cannot
come up with a name for both ends, as in the above example.
All is not butter and honey in the land of forks. As it is the case with every style of programming, there are a number of things to be aware of. This section of the tutorial strives to give you a heads-up to most of them. Please tell me if something is missing.
Ruby buffers output sent to IO streams for a while. So does the operating system. When you fork a new process, the OS buffers get flushed to disk while the Ruby buffers get duplicated into the new process. (Along with the open file descriptor)
Ruby buffers get flushed at other moments, like when you write more output to the IO stream or when a child process exits. And the drama unfolds: Your child processes will write the unflushed Ruby buffers to the open IO stream upon exit. Their master process will write the same buffer to the same stream on its next write. And you’ll end up with duplicated file contents.
To prevent this from happening: Either flush the streams before you fork
stream.flush
or have them synch to OS buffers immediately on write
stream.sync = true
or even better – don’t let the child inherit the stream in the first place. This can only be achieved by opening the stream after the fork.
While the previous gotcha was more of a Ruby bug, this is a unix problem: When you use signals in your Ruby program, you might mess up C extensions you use. Without signal handling, someone might write the following C code:
size = recv(socket, &buffer, 1024, 0);
assert(size > 0);
// Do something with the data in buffer
But once you register a trap for a signal (man 2 sigaction
),
signals might have to be delivered to your process during the blocking call to
recv
. What your OS will do in this case is really simple and
never happens until you register a sigaction
: It returns from the
recv
call with an exit code of -1. (and an _errno
of
EAGAIN)
You could not care less. This marks the precise spot where that library becomes useless to you, since you’d have to read all the code back and fix all instances where calls are made to the operating system with the wrong set of assumptions. Now you know at least where that assertion fault (or EAGAIN error) all over sudden comes from.
Your average Ruby is not copy-on-write friendly.
If you create short-lived processes, this is not a problem. And if you create long-lived server processes – just thought I’d give you the heads-up. Try to google for Ruby and ‘Copy on Write’ – you’ll find prior art.
Some excellent books have been written about Unix. I personally did enjoy reading ‘Advanced Programming in the UNIX environment’ (Stevens, Rago). But hey, who am I to tell you that you should read a book.


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Viewing the XML Source File
How to view the XML file that is being used to perform an XML/XSL transform using the XML module. This menu option allows you to view either the data with the XML or XML source file.
- Select Show Source from the XML module actions menu.
- This displays the data within XML file inside the current Web browser.
- Optional. To view the XML source, right click inside the web browser and then select View Source from the drop down menu. This displays the XML source file in a new web browser.


fun Amount<Currency>.toDecimal(): BigDecimal
Convert a currency Amount to a decimal representation. For example, with an amount with a quantity of "1234" GBP, returns "12.34".
See Also
Amount.Companion.fromDecimal


Extensive penalized variable selection methods have been developed in the past two decades for analyzing high dimensional omics data, such as gene expressions, single nucleotide polymorphisms (SNPs), copy number variations (CNVs) and others. However, lipidomics data have been rarely investigated by using high dimensional variable selection methods. This package incorporates our recently developed penalization procedures to conduct interaction analysis for high dimensional lipidomics data with repeated measurements. The core module of this package is developed in C++. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-11-10 |
| Author: | Fei Zhou, Jie Ren, Xiaoxi Li, Cen Wu, Yu Jiang |
| Maintainer: | Fei Zhou <feiz at ksu.edu> |
| BugReports: | https://github.com/feizhoustat/interep/issues |
| License: | GPL-2 |
| URL: | https://github.com/feizhoustat/interep |
| NeedsCompilation: | yes |
| CRAN checks: | interep results |
| Reference manual: | interep.pdf |
| Package source: | interep_0.2.0.tar.gz |
| Windows binaries: | r-devel: interep_0.2.0.zip, r-release: interep_0.2.0.zip, r-oldrel: interep_0.2.0.zip |
| OS X binaries: | r-release: interep_0.2.0.tgz, r-oldrel: interep_0.2.0.tgz |
| Old sources: | interep archive |
Please use the canonical form https://CRAN.R-project.org/package=interep to link to this page.


I am Sehmimul Hoque, a first year student in the University of Waterloo and I come from Dhaka, Bangladesh. I am studying Mathematical Physics under the Faculty of Mathematics. I am highly enthusiastic about Quantum Computing, Quantum Cryptography and anything related to the Quantum World. I am fond of Mathematics, namely abstract Mathematical Concepts.
I love to paint for painting refreshens up my mind. I love to watch anime play and play cricket. But most of all, I love to study and read. I love to read about hypothetical concepts of reality, some of which question our existence, and some of which defy human common sense. This is why I chose to study Theoretical Physics in my life. It is through studying the fundamental concepts of reality (however counterintuitive they maybe) that we can truly understand our place in the universe...


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Contribution {% endblock %} {% block content %}
This is a public goods game with {{ Constants.players_per_group }} players per group. Please enter the number of fish you would like to catch in this round, the number has to be an integer and between 0 and 40 (including 0 and 40)
{% formfields %} {% next_button %} {% endblock %}


write an emitter class emitter = new Emitter(); 1. Support subscribing to events sub = emitter.subscribe('event_name',callbck); sub2 = emitter.subscribe('event_nme',callback2); 2. Support emitting events emitter.emit('event_name',foo,bar); 3. Support unsubscribing existing subscriptions by release them sub.release();


assignment
Tonnarello
Tonnarello is a dead simple pastebin webapp that saves you from copypasta typos.
{{ yield }}


I am just out of the studio with my new album "New Album" Couldn't be prouder over it and I'm happy to share the songs below
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This is a wider card supporting text below as a natural lead-in to additional content. This content is a little bit longer
This is a wider card supporting text below as a natural lead-in to additional content. This content is a little bit longer
This is a wider card supporting text below as a natural lead-in to additional content. This content is a little bit longer


NationSim
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Welcome To NationSim
The world's most exciting nation simulation!
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int ftp_mdtm ( resource $ftp_stream , string $remote_file )
ftp_mdtm() gets the last modified time for a remote file. Note: Not all servers support this feature! Note: ftp_mdtm() does not work with directories.
Returns the last modified time as a Unix timestamp on success, or -1 on error.


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This button will reset the form. Change the value in the textbox to something else and then click the button.
This button determines if the form can be reset.
This button always reset the form as if it were a reset button.