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java.lang.Object util.FileDrop
public class FileDrop
This class makes it easy to drag and drop files from the operating system to a Java program. Any java.awt.Component can be dropped onto, but only javax.swing.JComponents will indicate the drop event with a changed border.
To use this class, construct a new FileDrop by passing it the target component and a Listener to receive notification when file(s) have been dropped. Here is an example:
JPanel myPanel = new JPanel();
new FileDrop( myPanel, new FileDrop.Listener()
{ public void filesDropped( java.io.File[] files )
{
// handle file drop
...
} // end filesDropped
}); // end FileDrop.Listener
You can specify the border that will appear when files are being dragged by
calling the constructor with a javax.swing.border.Border. Only
JComponents will show any indication with a border.
You can turn on some debugging features by passing a PrintStream
object (such as System.out) into the full constructor. A null
value will result in no extra debugging information being output.
I'm releasing this code into the Public Domain. Enjoy.
Original author: Robert Harder<EMAIL_ADDRESS>2007-09-12 Nathan Blomquist -- Linux (KDE/Gnome) support added.
| Nested Class Summary | |
|---|---|
static class |
FileDrop.Event
This is the event that is passed to the filesDropped(...) method in
your FileDropListener when files are dropped onto
a registered drop target. |
static interface |
FileDrop.Listener
Implement this inner interface to listen for when files are dropped. |
static class |
FileDrop.TransferableObject
At last an easy way to encapsulate your custom objects for dragging and dropping in your Java programs! |
| Constructor Summary | |
|---|---|
FileDrop(java.awt.Component c,
boolean recursive,
FileDrop.Listener listener)
Constructor with a default border and the option to recursively set drop targets. |
|
FileDrop(java.awt.Component c,
javax.swing.border.Border dragBorder,
boolean recursive,
FileDrop.Listener listener)
Constructor with a specified border and the option to recursively set drop targets. |
|
FileDrop(java.awt.Component c,
javax.swing.border.Border dragBorder,
FileDrop.Listener listener)
Constructor with a specified border |
|
FileDrop(java.awt.Component c,
FileDrop.Listener listener)
Constructs a FileDrop with a default light-blue border
and, if c is a Container , recursively
sets all elements contained within as drop targets, though only
the top level container will change borders. |
|
FileDrop(java.io.PrintStream out,
java.awt.Component c,
boolean recursive,
FileDrop.Listener listener)
Constructor with a default border, debugging optionally turned on and the option to recursively set drop targets. |
|
FileDrop(java.io.PrintStream out,
java.awt.Component c,
javax.swing.border.Border dragBorder,
boolean recursive,
FileDrop.Listener listener)
Full constructor with a specified border and debugging optionally turned on. |
|
FileDrop(java.io.PrintStream out,
java.awt.Component c,
javax.swing.border.Border dragBorder,
FileDrop.Listener listener)
Constructor with a specified border and debugging optionally turned on. |
|
FileDrop(java.io.PrintStream out,
java.awt.Component c,
FileDrop.Listener listener)
Constructor with a default border and debugging optionally turned on. |
| Method Summary | |
|---|---|
static boolean |
remove(java.awt.Component c)
Removes the drag-and-drop hooks from the component and optionally from the all children. |
static boolean |
remove(java.io.PrintStream out,
java.awt.Component c,
boolean recursive)
Removes the drag-and-drop hooks from the component and optionally from the all children. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public FileDrop(java.awt.Component c, FileDrop.Listener listener)
FileDrop
with a default light-blue border
and, if c is a Container
, recursively
sets all elements contained within as drop targets, though only
the top level container will change borders.
c
- Component on which files will be dropped.listener
- Listens for filesDropped.public FileDrop(java.awt.Component c, boolean recursive, FileDrop.Listener listener)
c
- Component on which files will be dropped.recursive
- Recursively set children as drop targets.listener
- Listens for filesDropped.public FileDrop(java.io.PrintStream out, java.awt.Component c, FileDrop.Listener listener)
out
- PrintStream to record debugging info or null for no debugging.out
- c
- Component on which files will be dropped.listener
- Listens for filesDropped.public FileDrop(java.io.PrintStream out, java.awt.Component c, boolean recursive, FileDrop.Listener listener)
out
- PrintStream to record debugging info or null for no debugging.out
- c
- Component on which files will be dropped.recursive
- Recursively set children as drop targets.listener
- Listens for filesDropped.public FileDrop(java.awt.Component c, javax.swing.border.Border dragBorder, FileDrop.Listener listener)
c
- Component on which files will be dropped.dragBorder
- Border to use on JComponent when dragging occurs.listener
- Listens for filesDropped.public FileDrop(java.awt.Component c, javax.swing.border.Border dragBorder, boolean recursive, FileDrop.Listener listener)
c
- Component on which files will be dropped.dragBorder
- Border to use on JComponent when dragging occurs.recursive
- Recursively set children as drop targets.listener
- Listens for filesDropped.public FileDrop(java.io.PrintStream out, java.awt.Component c, javax.swing.border.Border dragBorder, FileDrop.Listener listener)
out
- PrintStream to record debugging info or null for no debugging.c
- Component on which files will be dropped.dragBorder
- Border to use on JComponent when dragging occurs.listener
- Listens for filesDropped.public FileDrop(java.io.PrintStream out, java.awt.Component c, javax.swing.border.Border dragBorder, boolean recursive, FileDrop.Listener listener)
out
- PrintStream to record debugging info or null for no debugging.c
- Component on which files will be dropped.dragBorder
- Border to use on JComponent when dragging occurs.recursive
- Recursively set children as drop targets.listener
- Listens for filesDropped.| Method Detail |
|---|
public static boolean remove(java.awt.Component c)
Container
.
c
- The component to unregister as a drop targetpublic static boolean remove(java.io.PrintStream out, java.awt.Component c, boolean recursive)
out
- Optional PrintStream
for logging drag and drop messagesc
- The component to unregisterrecursive
- Recursively unregister components within a container
|
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577_YaoyaoChang.py
class Solution:
def furthestBuilding(self, heights: List[int], bricks: int, ladders: int) -> int:
def valid(n):
diffs = []
for i in range(n):
if heights[i] < heights[i + 1]:
diffs.append(heights[i + 1] - heights[i])
diffs.sort()
# print(n, diffs)
brick, ladder = bricks, ladders
for diff in diffs:
if brick >= diff:
brick -= diff
elif ladder > 0:
ladder -= 1
else:
return False
return True
left, right = 0, len(heights) - 1
while left <= right:
mid = (left + right) // 2
# print(left, mid, right)
if valid(mid):
left = mid + 1
else:
right = mid - 1
# print()
return right


mm = self.read_range_single()
except:
mm = -1
self.release()
attempt = attempt + 1
time.sleep(0.001)
// add the reading to our last 3 readings
// if sensor insists on that value, then pass it on
while (mm > 8000 or mm < 5) and attempt < 3:
if self.use_mutex is True:
self.acquire()
try:
mm = self.read_range_single()
except:
mm = 0
if self.use_mutex is True:
self.release()
attempt = attempt + 1
time.sleep(0.001)
// add the reading to our last 3 readings


Include paths and preprocessor macros for C/C++ indexer and other Language Settings are supplied by Language Settings Providers using Scanner Discovery mechanism.
The entries can be inspected and set up on project properties page "Preprocessor Include Paths, Macros, etc." - Entries tab.
Language Settings Providers can be set up and configured for the selected configuration on project properties page "Preprocessor Include Paths, Macros, etc." - Providers tab.
C/C++ Indexer
Scanner Discovery
Setting up include paths and macros for C/C++ indexer
C/C++ Preferences: Scanner Discovery
C/C++ Project properties: Preprocessor Include Paths, Macros, etc. - Entries tab
C/C++ Project properties: Preprocessor Include Paths, Macros, etc. - Providers tab


Warder is a profession open only to Kamael women. At this level, Kamael women carry two types of weapons: the Crossbow and the Rapier.
They also learn basic trapping magic as they prepare for their missions.
They also learn about basic trapping magic.
Ask about how to become a Warder.
Back.


GCM Playground Receiver
Sender ID (Project ID)
Input is not a number!
String Identifier (Optional)
Register
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GCM Registration Status
Message Received


The paper introduces HYPTER - a framework for zero-shot learning (ZSL) in text-to-text transformer models by training a HyperNetwork to generate task-specific adapters from task descriptions.
The focus is on in-task zero-shot learning (e.g., learning to predict an unseen class or relation) and not on cross-task learning (e.g., training on sentiment analysis and evaluating on question-answering task).
Task - a NLP task, like classification or question answering.
Sub-task
A class/relation/question within a task.
Denotes by a tuple $(d, D)$ where $d$ is the language description while $D$ represents the subtask’s dataset.
HYPTER has two main parts:
Main network
A pretrained text-to-text network
Instantiated as a BERT-Base/Large
HyperNetwork
HyperNetwork has two parts:
Encoder
Encodes the task description
Instantiated as a RoBERTa-Base model
Decoder
Decodes the encoding into weights for multiple adapters (in parallel)
Instantiated as a Feedforward Network
The model trains in two phases:
Main network is trained on all the data by concatenating the task description with the input.
Adapters are trained by sampling a task from the train set while keeping the main network frozen.


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o
Load image
r
Reset
Texture
Positions
p
Save as png
Zoom:
100%
+
-
Tri is an experimental image distorter. You can choose an image to render using a WebGL quad, adjust the texture and position coordinates to create different distortions, and save the result.
Tri is a result of my efforts to understand WebGL textures. Much of the code is based on
the texture example from WebGL Fundamentals
.
Release notes
·
Video walkthrough
·
Constraint Systems
x
?


hbox
is a BoxLayout
container with horizontal placement of components.
spacing
attribute sets spacing between components within a container.
This example also shows how to align a label with other components in an hbox. The default label alignment is
TOP_LEFT
.


I put out a call for data and comments about topics that Haskell people felt were under represented. I’m sure I’ll take some flak for the informal poll and methodology, but I feel that having at least some concrete data about the Haskell zeitgeist is better than nothing.
As my friends have noted, baked into the poll is a hypothesis that people will give different responses based on which domain they use Haskell for ( i.e. compiler developers have different focus than web developers). This seems to be confirmed by the data, but at the same time also self-selects for people who have a narrow focus. Also given the nature of the collection, we’re only going to select people who are willing to respond and active on Haskell forums.
The total counts include all individuals, even those who gave a “None of the above” or write-in for their domain. These are some of the most bizarre results, but when these points are excluded and then factored on domain the results seem much more sensible.
Thanks again for all those who volunteered their opinions.
What category best classifies the domain of problems you use Haskell for?
The first question concerned which domain of programming the questionee is involved in. This field was exclusive choice so that we could bin on it when doing statistics later. The most popular domains in order are:
The number of people involved in compiler development was somewhat surprising result to say the least. The other domains seemed to fall out fairly natural. There were also quite a few write-ins in various forms, and many comments indicating multidisciplinary fields. The write-ins were excluded from the later binning on the various factors and only included in the total count.
How would you subjectively rate your Haskell skill level?
The self-rated skill level turned out to be a fairly typical distribution with a median of 5, mode of 5, and mean of 5.3. 53% of Haskellers in the poll rated themselves 5 or lower while 32% rated themselves as 7 or higher.
Given the self-selecting nature of this question, this result is probably not meaningful or accurate.
What Haskell type system features do you feel are under represented or often misunderstood?
The six most mentioned type systems features surprised me a bit, they were:
Impredicative Types is a curious answer. I’m baffled why it seems so dominant. The extension is widely considered to be broken or a misfeature, and I don’t think I’ve never seen it used in the wild. My only guess is that it relates to it showing up so frequently in GHC error reporting that many people are curious about it having never actually used it.
Kind Polymorphism is understandable since it’s a fairly recent addition to GHC and already there seems to a need for many poly-kinded versions of existing structures in Base. Kind promotion itself is still a very under-used feature.
Singletons is also a rather fruitful modern area of research in bringing some semblance of dependent types to Haskell. The singletons library has been the subject of several ICFP and meetup talks.
Rank N-Types invariably seems to always be a point of confusion in some discussions. I would indeed say that higher-ranked polymorphism is not widely understood and can be very subtle.
Type Families is also a fairly new feature in GHC, and the subject of much active exploration. Only a few months ago did GHC 7.8 get closed type families, giving us the ability to encode much more complex logic at the type level
Binned amongst the Web Development user group, the most mentioned topics are:
Binned amongst the Compiler Design user group, the most mentioned topics are:
Binned amongst the Pure Mathematics or CS Theory user group, the most mentioned topics are:
Binned amongst the Data Analysis user group, the most mentioned topics are:
Binned against individuals who self-rated themselves as 7 or higher skill the most mentioned topics are:
Which common language patterns do you feel are under represented or misunderstood?
The pattern results were also somewhat surprising as well, they were:
F-Algebras is also a puzzling response, but was overwhelming the most mentioned response from the total count. There are some great articles about the relations between F-Algebras and catamorphisms. They are used somewhat rarely and I’m genuinely surprised about why this answer is the most popular in the total count.
Continuation passing and CPS conversion seems to be one of those thuddingly concrete topics that seems to confuse more than it should. Continuations do invert the way we normally think about control flow which can be confusing.
GHC.Generics are another topic which is indeed rather under represented, at the time of writing this I cannot actually think of a resource to point anyone at that explains how to use Generics beyond what the GHC manual explains. At the same time Generics are incredibly powerful and useful.
Profunctors is understandably confusing, and puzzlingly it seems to be a dependency of a large number of libraries on Hackage while the library itself has limited documentation.
Arrows is also very understandable. They seem to have been a very active area of research 10 or so years ago. Leaving us with a lot of half-baked libraries around seemingly beautiful ideas, that then died out leaving us only with hints of the possibilities of arrows. That and ArrowSyntax
extensions which are very odd and seem to be understood or used by shockingly few people.
Binned amongst the Web Development user group, the most mentioned topics are:
Binned amongst the Compiler Design user group, the most mentioned topics are:
Binned amongst the Pure Mathematics or CS Theory user group, the most mentioned topics are:
Binned amongst the Data Analysis user group, the most mentioned topics are:
Binned against individuals who self-rated themselves as 7 or higher skill the most mentioned topics are:
There were no write-ins for this category.
Which common ( non-web ) libraries do you feel are under represented or misunderstood? Be generous in your responses!
The libraries section was admittedly a bit of a grab bag, there is no way to poll on all of Hackage so inevitably I had to chose an arbitrary sample of cross-domain libraries. A more exhaustive poll of all of Hackage libraries people are interested in is something I would be interested in doing, but I’m not sure how to do it in a methodological way.
I chose not to include web libraries since they often tend to fall under an umbrella project ( yesod, snap, happstack ) and exhibit some odd clustering behavior that makes them somewhat unique amongst other packages. The top 20 packages are listed below:
Binned amongst the Web Development user group, the most mentioned libraries are:
Binned amongst the Compiler Design user group, the most mentioned libraries are:
Binned amongst the Pure Mathematics or CS Theory user group, the most mentioned libraries are:
Binned amongst the Data Analysis user group, the most mentioned libraries are:
Binned against individuals who self-rated themselves as 7 or higher skill the most mentioned libraries are:
The most popular write-ins were:
Most of these results are self explanatory and reflect my intuition about Hackage as well. There are some weird anomalies though:
Repa seemingly has a large amount of tutorials and worked examples so this result has me scratching my head a little bit.
On a personal note, I’m somewhat saddened by how often llvm-general shows up given how much time I spent on, what I thought, was a very extensive tutorial on the subject.
A lot of people don’t understand the difference between
mtl
andtransformers
and thinkmtl
is the only way to do monad transformers
hsc3, the supercollider library, could really use some documentation IMO. One can rely on the supercollider docs, but that’s an extra layer of lookup, and you have to infer the meaning of arguments that don’t always correspond exactly. Seems to me sound is one area where new programmers might be interested in playing with haskell, unfortunately its not too noob friendly.
Which aspects of GHC do you feel are under represented or misunderstood?
For language features I tried to poll on topics specific to GHC’s implementation details. The results were overwhelmingly about performance and profiling:
Binned amongst the Web Development user group, the most mentioned topics are:
Binned amongst the Compiler Design user group, the most mentioned topics are:
Binned amongst the Pure Mathematics or CS Theory user group, the most mentioned topics are:
Binned amongst the Data Analysis user group, the most mentioned topics are:
Binned against individuals who self-rated themselves as 7 or higher skill the most mentioned topics are:
The most mentioned write-ins were:
Along the lines of performance profiling, I think GHC’s execution model and heap representation are discussed less frequently than they deserve.
Quality overviews on term rewriting and optimization steps on Haskell Core(System FC) in the GHC. I can tell it’s out there, but information seems fragmented and a good quality article on the wiki would be very appreciated.
Language interop, the C FFI is just the start of the story. How to play nice with the GC with foreign data? How to play nice with Haskell data from the other side?
In my work, arrows and categories are most useful in constructing lenses. I think lenses are actually a pretty simple idea but the most popular lens library is bloated and defines a multitude of esoteric infix operators.
There doesn’t seem to be any areas in any of the categories above which wouldn’t benefit from more documentation. Almost all areas suffer from a lack of explained examples. The more I use almost any library, the more it seems to be lacking in good extensive documentation and examples.
Conventions in web API client design and trade offs for different choices. E.g. Typeclasses, free monads, etc. for example, suppose you want to make a web client agnostic of the underlying HTTP client, what’s the best approach? Most people use typeclasses for this, but Haskell has many tools to tackle this problem.
The “reactive” library seems to be very useful, but it is still very abstract. It would be nice to see more focus on this, providing more examples for how it can be used.
I think the biggest use to myself and the community would be more articles like Gabriel Gonzalez has done that show how to use important Haskell constructs, like monoids or free monads, to structure help program design.
There’s some exciting developments in this area–see the Haste presentation by StrangeLoop and others). And the efforts to bring React bindings to Haskell. All of the pieces exists in some form currently, but we have a ways to go before they mature.
This is of course an unscientific poll and please don’t read too much into the data. The goal was to generate a rough list of the topics that people are interested in and feel need some more context.
On that note, if you are looking for topics for your next blog and want to maximize the coverage of misunderstood topics and advance the state of Haskell knowledge; consider one of the following subjects:


December 16
Stand therefore...having shod your feet in preparation [to face the enemy with the firm-footed stability, the promptness and the readiness produced by the good
news] of the Gospel of peace.
Ephesians 6:14-15
Preparation. When it comes to fighting spiritual battles, that's a word you'd do well to remember. Most believers don't pay much attention to it. They don't prepare themselves in advance. They fiddle around until the devil makes his move, then they jump up and try to fight him with the Word... and they usually lose.
I used to do the same thing until the Lord taught me differently. I used to wait until my meetings began to pray for their success. As Satan would come against them from one direction, I'd fight him there. Then he'd move around and attack them in another area, and I'd fight him there.
One day the Lord showed me that by waiting until the last minute to take my stand, I was giving Satan time to build up his forces against me. And consequently, I was losing many of my battles. Then the Lord said something to me I'll never forget. He said, ""If they had kicked Al Capone out of Chicago when he was just a small-time operator, he wouldn't have been so hard to handle; but they waited until he became a first-class criminal with his forces built up around him. Then it took an army to bring him down.""
When I heard that, I made up my mind never to be caught unprepared again. I started praying about those meetings weeks in advance, getting the stage set spiritually before they ever began. Instead of letting Satan get his forces entrenched, I started throwing him out before he got a single foothold. When I did, I saw more victories than I ever had before.
 Be prepared! Start praying and speaking the Word of faith now over your family, your business, your church. Get your feet shod with the preparation of the gospel of peace. Then if Satan causes trouble, you'll be well equipped to run him out of town.
Scripture Reading: 1 Samuel 17:12-51


Why I'm here...
Hi! I am Seba Belmar, originally from Chile, I left South America almost two years ago to begin a career shift and an exploration into myself. I realized that the world is changing at light speed, and the ones that are making those changes are not big corporations, politicians or international leaders. The people who develop technology and the ones that use it can help everyday people satisfy their needs more quickly, more cheaply, and more responsibly. I have a passion for technology and using them to help people and businesses. For me, developing technology wisely is the most peaceful path to reshaping the economy.
Before moving to the states, I worked at Ernst and Young for several years. I built business models and valuation analysis for the Transaction Advisory Services department. Our clients included The Coca Cola Co., Ford Motors Company, Liberty and local corporations. My career was on track, but at the end of the day, I saw my self with a narrow worldview and doing almost nothing to change those things that I consider are wrong. Rather than putting my skills to work for some of the worlds largest corporations, I wanted to take what I had learned at EY plus computer programming and use them to help smaller businesses to become more sustainable, responsible and efficient.
Since moving to Arizona with my gringa wife, Laura, we have started working as business consultants. Some of my projects include building financial models for a small solar company, and managing the ERP for another client in Chile who is using our service to improve all aspects of their business, including working capital management. In order to meet the needs of my clients, the next step in my career is becoming a web developer. When not pursuing this goal, I might be found playing the guitar and the ukulele, playing soccer, skateboarding, snowboarding, surfing, climbing, hiking, riding bikes, drumming, doing yoga, meditating or working in the garden.


{% url 'sso_profile:enrolment-business-type' as default_link_url %}
{% if is_in_companies_house %}
I represent a limited company (Ltd), a public limited company (PLC) or a Royal Charter company registered with Companies House
{% elif is_individual %}
I live in the UK but do not represent a business
{% else %}
I'm a sole trader or represent another type of UK business not registered with Companies House
{% endif %}
{{ link_text|default:'Change business type' }}


Florian Jaeger and I recently submitted a research review on “Speech perception and generalization across talkers and accents”, which provides an overview of the critical concepts and debates in this domain of research. The manuscript is still under review, but we wanted to share the current version. Of course, feedback is always welcome.
In this paper, we review the mixture of processes that enable robust understanding of speech across talkers despite the lack of invariance. These processes include (i) automatic pre-speech adjustments of the distribution of energy over acoustic frequencies (normalization); (ii) sensitivity to category-relevant acoustic cues that are invariant across talkers (acoustic invariance); (iii) sensitivity to articulatory/gestural cues, which can be perceived directly (audio-visual integration) or recovered from the acoustic signal (articulatory recovery); (iv) implicit statistical learning of talker-specific properties (adaptation, perceptual recalibration); and (v) the use of past experiences (e.g., specific exemplars) and structured knowledge about pronunciation variation (e.g., patterns of variation that exist across talkers with the same accent) to guide speech perception (exemplar-based recognition, generalization).
While there is substantial compelling evidence for each of these processes, none currently provides a sufficient account of how listeners cope with variability in speech. In our research overview, we highlight the successes and limitations of these various approaches. More importantly, we emphasize overlap and complementarity among lines of research that are often viewed as orthogonal or opposing (e.g., normalization and statistical learning).
In our view, it is the integration of these various processes that is the big open question in research on speech perception. Integrating these accounts is by no means trivial, as evidenced by the on-going debate in speech perception concerning normalization, exemplar-based and statistical learning accounts. However, we believe that reexamining the basic assumptions that underlie these accounts will help point the way forward.
For example, consider normalization. Normalization is often conceptualized as an automatic low-level process that stems from basic aspects of the auditory perceptual system and hence does not involve learning. Historically, one of the major successes of the normalization approach to speech perception is accounting for how listeners cope with variability due to vocal tract differences across talkers: e.g., interpreting category-relevant acoustic cues (such as \(F_1\) and \(F_2\) for vowels) with respect to acoustic cues that provide an estimate of the talker’s vocal tract characteristics (e.g., \(F_0\) and \(F_3\); see Figure 1). The basic ability to interpret speech cues in relation to one another (e.g., \(F_1\) relative to \(F_3\)) might stem from biologically-determined aspects of the auditory system. However, the use of specific cues like \(F_0\) and \(F_3\) as the basis for normalization might stem from statistical learning during early development about the relationship between a talker’s vocal tract size and corresponding vocal tract resonances.
In other words, low-level normalization might be the outcome of statistical learning. If so, this would enable us to situate a wide range of perceptual phenomena along a continuum of statistical learning that operates at various time scales and at various levels of granularity. Phenomena like talker-specific phonetic recalibration (i.e., fine-tuning phonetic category boundaries according to talker-specific cue distributions) are situated at one end of the continuum — as these adjustments occur continuously in response to the statistics of the ambient environment. Phenomena like vocal tract normalization might form the other end of the continuum — as listeners (in principle) only need to learn once, presumably during early development, about how the size and the shape of the vocal tract affect the distribution of energy at certain frequency ranges. Presumably (and speculatively), if the statistical patterns are sufficiently robust across talkers (e.g., the relationship between vocal tract characteristics and \(F_0\) or \(F_3\)), then it would be beneficial (i.e., efficient) for the speech perception system to have evolved to adjust for this relationship at an early stage of processing (e.g., automatic low-level “normalization”). For statistical patterns that are specific to particular talkers or groups, perhaps the relevant perceptual adjustments occur at a later stage of processing (e.g., the mapping of percepts to higher-level categories).
This emphasis on statistical learning might also provide traction in the debate between normalization and exemplar-based accounts of speech perception. As has been discussed extensively in the literature, one of the primary criticisms of normalization accounts is that fine stimulus details are not “filtered out” during perception — as often implicitly or explicitly assumed in normalization proposals — but rather these details are encoded in memory and influence subsequent processing. In turn, one criticism of exemplar-based approaches is that they do not provide a straight forward account for some of the most compelling evidence of low-level normalization: i.e., that speech sounds are interpreted relative to frequency information in the surrounding context, even when this “context” is non-speech sine-wave tones (see work by Holt and colleagues).
These criticisms indicate that neither normalization nor exemplar-based accounts are sufficient. Perhaps these accounts are not contradictory, but rather form part of a complex speech perception system that is capable of statistical learning at various time scales and levels of granularity. Statistical learning in speech involves pattern abstraction over a distribution of speech episodes. Thus, if both talker normalization (i.e., sensitivity to talker invariant information) and talker-specific speech perception can be conceptualized as the result of statistical learning (potentially at different time scales), then there is no debate about the storage of episodic information. Rather, the central questions concern how the learning is implemented and the conditions under which learning leads to low-level versus higher-level adjustments in how speech stimuli are perceived.
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This package includes a set of pricing functions for American call options. The following cases are covered: Pricing of an American call using the standard binomial approximation; Hedge parameters for an American call with a standard binomial tree; Binomial pricing of an American call with continuous payout from the underlying asset; Binomial pricing of an American call with an underlying stock that pays proportional dividends in discrete time; Pricing of an American call on futures using a binomial approximation; Pricing of a currency futures American call using a binomial approximation; Pricing of a perpetual American call. The user should kindly notice that this material is for educational purposes only. The codes are not optimized for computational efficiency as they are meant to represent standard cases of analytical and numerical solution.
| Version: | 0.95 |
| Depends: | R (≥ 2.0.0) |
| Published: | 2012-03-04 |
| Author: | Paolo Zagaglia |
| Maintainer: | Paolo Zagaglia <paolo.zagaglia at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | Finance |
| CRAN checks: | AmericanCallOpt results |
| Reference manual: | AmericanCallOpt.pdf |
| Package source: | AmericanCallOpt_0.95.tar.gz |
| Windows binaries: | r-devel: AmericanCallOpt_0.95.zip, r-release: AmericanCallOpt_0.95.zip, r-oldrel: AmericanCallOpt_0.95.zip |
| OS X binaries: | r-release: AmericanCallOpt_0.95.tgz, r-oldrel: AmericanCallOpt_0.95.tgz |
Please use the canonical form https://CRAN.R-project.org/package=AmericanCallOpt to link to this page.


{% extends "base.html" %} {% block title %}Page Not Found!{% endblock %} {% block body %}
Clearly, you're doing something wrong! :(


Droeloe — Broken Bricks ft. Kalulu
by grivoisDROELOE — Broken Bricks (ft. Kalulu) [Official Music Video]
Check out the official music video for "Broken Bricks" 💀 Buy/Stream 'A Promise Is Made': http://bit.ly/apromiseismade 🎧 All DROELOE releases: http://bit.ly/dr…www.youtube.com


A place for general developer talk – for everyone! | Documentation https://developers.komodoplatform.com | MoreDev Docs - https://docs.komodoplatform.com | Mastering CryptoConditions - https://github.com/KomodoPlatform/Mastering_CryptoConditions
100 messages
Before 05-Dec-19 12:00 AM
qmc01-Oct-18 11:29 PM
questions is, do we need electrum (older) or electrumX
Komodo. Contribute to jl777/komodo development by creating an account on GitHub.
1
joey02-Oct-18 12:47 AM
@Deleted User vim master editor
1
dukeleto02-Oct-18 10:56 AM
people are reporting random coredumps on Zcash 2.0, that production release of Sapling in 26 days is looking pretty dicey.... https://github.com/zcash/zcash/issues/3554
@Kyung-Nam Park there is no libcurl-gnutls.so.4 in cent os. Only libcurl.so.4 Try sudo ln -s /usr/lib64/libcurl.so.4 /usr/lib64/libcurl-gnutls.so.4
sudo ln -s /usr/lib64/libcurl.so.4 /usr/lib64/libcurl-gnutls.so.4 (there is a space!)
qmc02-Oct-18 08:04 PM
Anyone here feel like doing the test transaction for listing with our coin?
literally implemented bip65 and patched up listunspent to also show watch-only - just to list on barter/hyper
Oliver Westbrook02-Oct-18 09:27 PM
Hey guys, I'm really new to blockchain dev and working on a project to claim kmd interest using bitcore lib. My question is pretty simple, functionally can I claim interest if I specify the address and change address, correct fee, etc? Or is there a particular procedure that needs to be followed to claim interest?
I'm looking through the js files for Agama-Web as reference but wanted to see if anyone here has a quick answer
CHMEX02-Oct-18 09:31 PM
if i'm not mistaken you need to set the nlocktime in the past so time -777 to accept it in the next block
github.com/LedgerHQ/ledger-nano-s/issues/21
Oliver Westbrook02-Oct-18 09:47 PM
Ah, cool. Thank you looking into that.
Oliver Westbrook03-Oct-18 12:30 AM
@CHMEX I'm referring to collecting the interest.
jl777c03-Oct-18 04:32 AM
just spend the utxo. (sum of vins + interest) - (sum of outputs) -> is the txfee
Oliver Westbrook03-Oct-18 06:56 AM
Ah, ok. Thank you @jl777c
Simone03-Oct-18 10:10 AM
Hey everyone!
I've noticed you have only one blockexplorer link on your official site, is it enough?
Anyone here feel like doing the test transaction for listing with our coin?
literally implemented bip65 and patched up listunspent to also show watch-only - just to list on barter/hyper
Were you able to find someone to test with?
qmc03-Oct-18 12:19 PM
@Bryan_Beus Yeah @cipi was great help
Bryan_Beus03-Oct-18 12:19 PM
Oh good.
Happy trails.
qmc03-Oct-18 12:19 PM
Thanks though !
1
1
Now if anyone feels like merging a pull request... (j/k ofc, we have time)
oh, it was merged! thanks a lot!
qmc03-Oct-18 12:35 PM
Is there any logo that can be used in an ann post for example ?
Bryan_Beus03-Oct-18 12:35 PM
At the bottom of komodoplatform.com should be a logo or media pack or something
a bob node requires native clients of both coins? can't have one on electrum ?
or am I missing something
SHossain03-Oct-18 02:16 PM
electrum is not recommended to use for bob node
it will most likely have issues
native mode is best for bob nodes
dukeleto03-Oct-18 03:23 PM
"Bob Goes Native" sounds like a fun KMD-inspired film
3
Regnar03-Oct-18 04:22 PM
Hey @ca333 Just wondering if we can integrate all repos into KomodoPlatform repo? Or what may be the reason we don't? I was talking with SHossain about updating some aspects of the Komodo Platform Github to better represent the work that is being done. It seems I often spend time dealing with FUD about lack of developer activity due to the insights feature on Github. So things like the scaling stuff, mm2.0, cryptoconditions, etc. SHossain just added the links to these to the "Source of all KomodoPlatform Repositories and Releases" but this doesn't change the "insights" results which often people perform cursory checks on to see if a project is inactive. Thanks.
qmc03-Oct-18 04:27 PM
Is there a way for our users to select an alternative config path in native mode ?
Mylo03-Oct-18 05:06 PM
@beor any dev docs for salesforce integration can start here
beor03-Oct-18 07:01 PM
Yes, I am starting a company, phase 1: integration of NEM and Salesforce. Phase 2, integration of Komodo and Salesforce, but this is for Q3 2019.
1
qmc03-Oct-18 09:51 PM
Anyone aware of javascript related errors in windows (cant start barterdex) ?
2 guys/gals complaining now
one being the guy who is supposed to make a video tutorial for trading QMC
We're working on it (electrum servers are taking the dev some time for some reason)
dukeleto03-Oct-18 09:55 PM
#dev-tradebots is probably the best channel to report barterdex bugs, and ask hard questions, fyi
1
qmc03-Oct-18 10:01 PM
Thanks!(edited)
Kyung-Nam Park04-Oct-18 01:50 AM
@coin I did it. but it's occur another error. help me plz.
./komodod
./komodod: /lib64/libcurl-gnutls.so.4: no version information available (required by ./komodod)
./komodod: /lib64/libstdc++.so.6: version CXXABI_1.3.8' not found (required by ./komodod)
./komodod: /lib64/libstdc++.so.6: version GLIBCXX_3.4.20' not found (required by ./komodod)
./komodod: /lib64/libstdc++.so.6: version `GLIBCXX_3.4.21' not found (required by ./komodod)
It's a Centos 7
Oliver Westbrook04-Oct-18 03:01 AM
@Kyung-Nam Park do you have g++ and other build / compile libraries installed?
if so what version?
oh wait
what about curl and libcurl?
seems you’re having a dependency issue
Kyung-Nam Park04-Oct-18 03:16 AM
thank you for you answer.
It'a a CentOS 7.5
what about curl and libcurl? <- what is this mean?
I just commanded './komodod '
Kyung-Nam Park04-Oct-18 03:26 AM
@Deleted User thanks for your recommands
I'll check it.
Kyung-Nam Park04-Oct-18 03:53 AM
I understand it.
praxtice04-Oct-18 03:57 AM
could someone point me to whatever code handles notarization into BTC?
blackjok3r04-Oct-18 05:21 AM
which part? There is an iguana program that makes the notarisations, and there is a funciton in ConnectBlock that validates them in komodod itself.(edited)


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If you can keep your head when all about you
Are losing theirs and blaming it on you;
If you can trust yourself when all men doubt you,
But make allowance for their doubting too;
If you can wait and not be tired by waiting,
Or, being lied about, don’t deal in lies,
Or, being hated, don’t give way to hating,
And yet don’t look too good, nor talk too wise;
If you can dream—and not make dreams your master;
If you can think—and not make thoughts your aim;
If you can meet with triumph and disaster
And treat those two impostors just the same;
If you can bear to hear the truth you’ve spoken
Twisted by knaves to make a trap for fools,
Or watch the things you gave your life to broken,
And stoop and build ‘em up with wornout tools;
If you can make one heap of all your winnings
And risk it on one turn of pitch-and-toss,
And lose, and start again at your beginnings
And never breathe a word about your loss;
If you can force your heart and nerve and sinew
To serve your turn long after they are gone,
And so hold on when there is nothing in you
Except the Will which says to them: “Hold on”;
If you can talk with crowds and keep your virtue,
Or walk with kings—nor lose the common touch;
If neither foes nor loving friends can hurt you;
If all men count with you, but none too much;
If you can fill the unforgiving minute
With sixty seconds’ worth of distance run—
Yours is the Earth and everything that’s in it,
And—which is more—you’ll be a Man, my son!


Need help logging in? Talk to your team manager! When registering the student accounts, the manager receive a file container all the passwords to the students' accounts. Without this file, we cannot recover the passwords and are forced to change them.


Digital Shakespeare: An Exploration of Text Analysis
This page provides an index to the text analysis lessons for Global/Digital Shakespeare, a Harvey Mudd College undergraduate literature course, co-taught by Ashley Sanders Garcia and Ambereen Dadabhoy in the spring semester of 2018.


@ Code - Block
Projects :
GDSC-SCTCE
CSS 3D Blend Mode Buttons
CSS button with glitch animation
GDSC-SCTCE
CSS 3D Blend Mode Buttons
CSS button with glitch animation


Event binding is a way of sending information from an "inner" scoped source to
an "outer scoped" target. For example, we can take a text input field
and capture that in a property.
Input here for change:
And the captured input goes here: {{changeInput}}
Input here for keyup:
And the captured input goes here: {{keyupInput}}
Input here for change:
And the captured input goes here: {{changeInput2}}<--- see, no ugly box if no data


Embed on your website {code}
{code}
Install the browser extension (chrome)
Install the browser extension (firefox?)


{% extends 'base.html' %} {% block title %}Django Web Tools Home{% endblock %} {% block content %}
Hello! This site was created as part of the 50 Apps Project.
It features some very hacked up python web tools which you might find interesting...
A tool which crawls through a web page's links, in search of a particular term.
Visits a particular page and tallys up the frequency of words on that page in a pretty histogram.


|
Connected Home over IP
672cf7684
|
Directories | |
| directory | internal |
Files | |
| file | CHIPDeviceConfig.h [code] |
| file | CHIPDeviceError.h [code] |
| file | CHIPDeviceEvent.h [code] |
| file | CHIPDeviceLayer.h [code] |
| file | ConfigurationManager.h [code] |
| file | ConnectivityManager.h [code] |
| file | GeneralUtils.h [code] |
| file | KeyValueStoreManager.h [code] |
| API function declarations for using persistent key value storage. | |
| file | NFCManager.h [code] |
| file | PersistedStorage.h [code] |
| API function declarations for reading from and writing to persistent storage. Platforms will be responsible for implementing the read/write details. | |
| file | PlatformManager.h [code] |
| file | SoftwareUpdateManager.h [code] |
| file | SoftwareUpdateManagerImpl.h [code] |
| file | ThreadStackManager.h [code] |
| file | TimeSyncManager.h [code] |


Welcome to AeroComBAT’s documentation!¶
AeroComBAT is a python API for composite, aeroelastic structures. The physics of this package have been heavily verified against codes such as NABSA, VABS, BECAS, and NX NASTRAN.
AeroComBAT Introduction¶
AeroComBAT (Aeroelastic Composite Beam Analysis Tool) is a python API intended to allow users to efficiently models composite beam structures.
| Authors: | Ben Names |
|---|---|
| Version: | 1.0 of 2016/04/16 |
Version 1.0¶
Capabilities
Simple classical lamination theory analysis
Cross-sectional analysis of composite beams
- 3D Composite Timoshenko (shear deformable) beam analysis
- Linear static analysis
- Normal mode analysis
- Dynamic Aeroelastic Stability (Flutter) Analysis
Installation Instructions¶
First of all it is strongly recomended that the user first install the Anaconda python distribution from Continuum analytics here.
By installing Anaconda, you will automatically get 3 of the AeroComBAT dependencies, Numpy, Scipy, and Numba. The last dependency is the visualizer MayaVi. The easiest way to install this is with Anaconda’s package management ‘conda’. To install this, simply run:
conda install mayavi
Mayavi is the 3D visualization engine currently used by AeroComBAT. Note that in some cases installing mayavi has been found to downgrade numpy. This is not necessary, so try to update numpy after installing MayaVi by executing:
conda update numpy
Documentation and tutorials¶
For for the AeroComBAT documentation and Tutorials, see the AeroComBAT Documentation.


No-dependencies library for displaying background videos...
I wanted to create an easy and no-dependeny background video library for one of my projects that supports local hosted videos as well as Youtube and Vimeo. This library can be used with any project without any dependencies. It's only 4KB gzipped.
Documentation (GitHub)And comes with a simple API:


`Base` class for `Environment` and `Index`.
Get persistent cache store
Get `Context` class.
This class maybe mutated and mixed in with custom helpers.
environment.context_class.instance_eval do include MyHelpers def asset_url; end end
Returns a `Digest` implementation class.
Defaults to `Digest::MD5`.
Get and set `Logger` instance.
The `#version` is a custom value used for manually expiring all asset caches.
Sprockets is able to track most file and directory changes and will take care of expiring the cache for you. However, its impossible to know when any custom helpers change that you mix into the `Context`.
It would be wise to increment this value anytime you make a configuration change to the `Environment` object.
Preferred `#find_asset` shorthand.
environment['application.js']
# File lib/sprockets/base.rb, line 176 def [](*args) find_asset(*args) end
Internal. Return a `AssetAttributes` for `path`.
# File lib/sprockets/base.rb, line 144 def attributes_for(path) AssetAttributes.new(self, path) end
Set persistent cache store
The cache store must implement a pair of getters and setters. Either `get(key)`/`set(key, value)`, `[key]`/`=value`, `read(key)`/`write(key, value)`.
# File lib/sprockets/base.rb, line 96 def cache=(cache) expire_index! @cache = cache end
Internal. Return content type of `path`.
# File lib/sprockets/base.rb, line 149 def content_type_of(path) attributes_for(path).content_type end
Returns a `Digest` instance for the `Environment`.
This value serves two purposes. If two `Environment`s have the same digest value they can be treated as equal. This is more useful for comparing environment states between processes rather than in the same. Two equal `Environment`s can share the same cached assets.
The value also provides a seed digest for all `Asset` digests. Any change in the environment digest will affect all of its assets.
# File lib/sprockets/base.rb, line 64 def digest # Compute the initial digest using the implementation class. The # Sprockets release version and custom environment version are # mixed in. So any new releases will affect all your assets. @digest ||= digest_class.new.update(VERSION).update(version.to_s) # Returned a dupped copy so the caller can safely mutate it with `.update` @digest.dup end
Assign a `Digest` implementation class. This maybe any Ruby `Digest::` implementation such as `Digest::MD5` or `Digest::SHA1`.
environment.digest_class = Digest::SHA1
# File lib/sprockets/base.rb, line 27 def digest_class=(klass) expire_index! @digest_class = klass end
# File lib/sprockets/base.rb, line 180 def each_entry(root, &block) return to_enum(__method__, root) unless block_given? root = Pathname.new(root) unless root.is_a?(Pathname) paths = [] entries(root).sort.each do |filename| path = root.join(filename) paths << path if stat(path).directory? each_entry(path) do |subpath| paths << subpath end end end paths.sort_by(&:to_s).each(&block) nil end
# File lib/sprockets/base.rb, line 201 def each_file return to_enum(__method__) unless block_given? paths.each do |root| each_entry(root) do |path| if !stat(path).directory? yield path end end end nil end
# File lib/sprockets/base.rb, line 213 def each_logical_path(*args) return to_enum(__method__, *args) unless block_given? filters = args.flatten files = {} each_file do |filename| if logical_path = logical_path_for_filename(filename, filters) yield logical_path unless files[logical_path] files[logical_path] = true end end nil end
Works like `Dir.entries`.
Subclasses may cache this method.
# File lib/sprockets/base.rb, line 115 def entries(pathname) trail.entries(pathname) end
Read and compute digest of filename.
Subclasses may cache this method.
# File lib/sprockets/base.rb, line 129 def file_digest(path) if stat = self.stat(path) # If its a file, digest the contents if stat.file? digest.file(path.to_s) # If its a directive, digest the list of filenames elsif stat.directory? contents = self.entries(path).join(',') digest.update(contents) end end end
Find asset by logical path or expanded path.
# File lib/sprockets/base.rb, line 154 def find_asset(path, options = {}) logical_path = path pathname = Pathname.new(path) if pathname.absolute? return unless stat(pathname) logical_path = attributes_for(pathname).logical_path else begin pathname = resolve(logical_path) rescue FileNotFound return nil end end build_asset(logical_path, pathname, options) end
Return an `Index`. Must be implemented by the subclass.
# File lib/sprockets/base.rb, line 102 def index raise NotImplementedError end
Pretty inspect
# File lib/sprockets/base.rb, line 227 def inspect "#<#{self.class}:0x#{object_id.to_s(16)} " + "root=#{root.to_s.inspect}, " + "paths=#{paths.inspect}, " + "digest=#{digest.to_s.inspect}" + ">" end
Works like `File.stat`.
Subclasses may cache this method.
# File lib/sprockets/base.rb, line 122 def stat(path) trail.stat(path) end
Assign an environment version.
environment.version = '2.0'
# File lib/sprockets/base.rb, line 48 def version=(version) expire_index! @version = version end
# File lib/sprockets/base.rb, line 241 def build_asset(logical_path, pathname, options) pathname = Pathname.new(pathname) # If there are any processors to run on the pathname, use # `BundledAsset`. Otherwise use `StaticAsset` and treat is as binary. if attributes_for(pathname).processors.any? if options[:bundle] == false circular_call_protection(pathname.to_s) do ProcessedAsset.new(index, logical_path, pathname) end else BundledAsset.new(index, logical_path, pathname) end else StaticAsset.new(index, logical_path, pathname) end end
# File lib/sprockets/base.rb, line 259 def cache_key_for(path, options) "#{path}:#{options[:bundle] ? '1' : '0'}" end
# File lib/sprockets/base.rb, line 263 def circular_call_protection(path) reset = Thread.current[:sprockets_circular_calls].nil? calls = Thread.current[:sprockets_circular_calls] ||= Set.new if calls.include?(path) raise CircularDependencyError, "#{path} has already been required" end calls << path yield ensure Thread.current[:sprockets_circular_calls] = nil if reset end
Clear index after mutating state. Must be implemented by the subclass.
# File lib/sprockets/base.rb, line 237 def expire_index! raise NotImplementedError end
# File lib/sprockets/base.rb, line 275 def logical_path_for_filename(filename, filters) logical_path = attributes_for(filename).logical_path.to_s if matches_filter(filters, logical_path) return logical_path end # If filename is an index file, retest with alias if File.basename(logical_path)[/[^\.]+/, 0] == 'index' path = logical_path.sub(/\/index\./, '.') if matches_filter(filters, path) return path end end nil end
# File lib/sprockets/base.rb, line 293 def matches_filter(filters, filename) return true if filters.empty? filters.any? do |filter| if filter.is_a?(Regexp) filter.match(filename) elsif filter.respond_to?(:call) filter.call(filename) else File.fnmatch(filter.to_s, filename) end end end