Mushrooms - P. cubensis
\April 2nd, 2004. 7:00 PM.
Two years of naïve anticipation had passed prior to that night. What part of my mind had longed for the sanctity of pseudo mental instability? After a few hours, I wouldn’t care.
 She was my cousin, and I existed only to cater to her seldom deprived entertainment wants and needs. As I had done too many times in the past, she wanted me to meet her, on foot, half way to her house from mine. Fortunately, we were just over a mile apart, and she was traveling by bike. What a better thing to do in the slack of time I had to encounter some way or another, I thought to myself. I moved, sluggishly and apathetic in my nature, through my Mother’s musky, 90’s basement. Subtle odors of cat litter and incense had been acknowledged and discounted as fast as it had came as I skipped two steps up the stairs. I looked right; my eyes scanned the gold hued living room looking for my guest. Finding him and the inherit insignificance of the situation, I informed him of my departure,
“She wants me to walk and get her,” I announced, looking forward to an appropriate, timely, and convenient stroll through our humanly twisted interpretation of Mother Nature, “I’ll be back in a few minutes.” Without an apparent vocal approval or reply, I automatically implied the unworthy nature of the situation, and left.
A surprisingly warm night pleased my nerves as I stepped out of my damp garage and walked down my driveway toward the perpendicular road. I wondered what might have been here before it was desecrated and replaced with these singular accommodations. I followed the establishment down a fairly steep road, my D.A.R.E. shirt providing the ideal amount of warmth for my body. The sky was beginning to darken; I guessed it would have been dark by the time I got back to my house. A few minutes after watching four consecutive white cars pass me; I saw a dampened image of a figure riding towards me. Realizing it was her, I continued my slow paced walk until I casually caught up with her.
“I’m taking your bike,” my voice was monotone and uncaring, and apparently she wasn’t objecting.
From that point on vocal communication became an inadequate manner of expressing thought. I hopped onto the lethargic tool and began to pedal. The mechanics felt like buttered gears to my legs, as the energy they produced was far more than I put into them. The bike floated across the haze-ridden right side of that paved, polluted blacktop; my confined side of the road seemed to be leading me in arbitrary gravitational motions more so than it seemed to be leading me to a destination.
These minor sensory alterations were constantly replaced with an accentuated parallel notion. My excitement climaxed as we discussed irrelevant things that pass my memory, riding up the same hill that I declined earlier. The trees were oddly 3-dimensional; they looked as though they were a graphic that belonged in some astounding video game. They took on a new meaning of life, they embodied the random nature of evolution and the inherit aspect of something from nothing. How could such complex life be birthed by an initial planet built of nothing more than simple compounds?
We reached my house at a grueling pace, as I had to utilize the improper use of the bike; I had to go at the speed of walking to keep my cousin content. Putting the bike inside the garage, I went inside my house to see the curious faces of my guest and my sister staring at my own. I immediately went to the couch and began my long, plastic journey to uncovering questions more or less irrelevant to my life as an American. The neurons in my brain fired in places that had lain dormant since my birth; cobwebbed corners of my psychological being were being swept by a strangely familiar experience. Could it be that chemical intoxication was a naturally synthetic simulation of abnormal mentality in the past?
Geometric nature is present in everything: plants, cells, bacteria, DNA, rock formations, light, sound, heat, sensory perception, every aspect of science hints at this notion, unless our empirical knowledge is faulty beyond our comprehension. Our brain MUST attain these functions from extremely complex geometric mathematics at hand in every aspect of our chemical being. Our perception is nothing more than a random musing of these theories? Our thoughts, volition, memory, experience are formed by nothing more than this? The introduction of a simple chemical attests that our perception is sculpted by nothing more than intrinsic chemical reactions. How hard it was to conceive an idea like this. Every breath brought a new unattainable climax of artificial spirituality to my mind and body.
“Why are you on the floor?” he asked, dumbfounded, as I lay on my carpet, staring into the depths of my altered visual cortex. The carpet looked like it had a constantly changing oceanic film laid out across it. Why was I confined in this stereotypical human space? I needed to get out. I needed to feel at least partly included in someone that understood and would answer all the questions that had been dug out from my unconsciousness; Nature. I fled down my stairs and opened my backdoor without notifying anyone of my leave. I couldn’t have cared less.
My thoughts, senses, ideas, questions, perception, all took on this radical notion of human geometricity. As I lied, sprawled out on the cool, wet grass, my vision became coated with geometric patterns that I never knew my brain had the nature to produce. Colored lines in the millions swam in symmetrical, fractal means before my visual field. From depths of my brain, beyond my control, were birthed these incredibly complex mathematical functions, lied out before my eyes and far, far away from my comprehension. Was I too weak minded to conceive these ideas without the aid of foreign organics? The American paradigm was non-inclusive of ‘radical’ ideas like this.
The trees bloomed with more life before; they took on an incredibly wise human personification. Multiple limbed, armed with the knowledge of all the questions we’d never understand and misjudge as ‘God’. Yet why would they have cared if I was alive or dead? Wasn’t I part of that collective conglomerate bringing their timeless information to hell? They hated me. I could’ve never felt at home in their sanctity. I went back inside. I denied the cool breeze of the temperate earth tasting my nerves.
The geometric patterns still lathed my every sense as I opened up the door and headed upstairs, ignoring everyone’s questions and comments. My ears rang with graphs of impossible tangent functions. I heard mathematics in my head. My closed eyes revealed a myriad of intangible ideas strung out across a 3 dimensional graph. My consciousness was like a cumulonimbus cloud of questionable thought, questions and answers came and were answered as fast as the metaphorical bold of lightning.
“Inconclusive,” I told myself. I denied a logical explanation to any of the thoughts running through my head, the plausible notion of the possibility of this state of mind. It seemed unreal, more unreal than a dream. We were so unfamiliar with any perception not existent in our daily lives. It was horrifying yet gratifying to me.
Three hours had passed, and metabolism had decreased the level of my confused perception, yet the doors were left open. I remained stuck in the millions of neuronal pathways opened by such a simple molecule, and I struggled to answer the slowing bombardment of questions. Not only did the answer seem more abstract than the questions by the minute, but both became more irrelevant.  I no longer found this declining state so profound, as it was replaced by my human need to sleep and return to normality. Visual ‘alterations’ still occurred, yet they weren’t accompanied by the former ideas.
Coincidentally, it was a few meaningless hours before I decided to go to bed. I endured even more hours lying in bed trying to sleep. My mentality was totally recovered, but my senses were still tainted with electronic sounds, visions, feelings and abstract thoughts that tingled my every being, keeping me from falling asleep. The faint light in my window looked like a bloodied plane flying across my visual field. My vision was filled with annoying, popping, colored neurons that wouldn’t dissipate. My feeling was unnatural and extremely heightened, making the normal comfort of blankets seem like tiny, innumerable mechanic sensations that wouldn’t ease. My sound was tainted like the former two senses. I finally reached the orgasmic state of sleep to the random, extremely redundant thought of half naked gray-haired man building a sand castle.
I awoke anew and conscious as ever in the morning, imbued with a new sense of ambition and motivation. Throughout the course of my life, I saw no greater use of it than to answer any philosophical insertions that experience would grant me.
Equipped only with minimal spiritual and empirical knowledge, every day since then has been an extension of this adolescent aspiration.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


| 接口 | 说明 |
|---|---|
| Repository |
An interface for interacting with a repository in snapshot and restore.
|
| Repository.Factory |
An factory interface for constructing repositories.
|
| 类 | 说明 |
|---|---|
| IndexId |
Represents a single snapshotted index in the repository.
|
| RepositoriesModule |
Sets up classes for Snapshot/Restore.
|
| RepositoriesService |
Service responsible for maintaining and providing access to snapshot repositories on nodes.
|
| RepositoriesService.RegisterRepositoryRequest |
Register repository request
|
| RepositoriesService.UnregisterRepositoryRequest |
Unregister repository request
|
| RepositoriesService.VerifyResponse |
Verify repository request
|
| RepositoryData |
A class that represents the data in a repository, as captured in the
repository's index blob.
|
| VerificationFailure | |
| VerifyNodeRepositoryAction | |
| VerifyNodeRepositoryAction.VerifyNodeRepositoryRequest |
| 异常错误 | 说明 |
|---|---|
| RepositoryException |
Generic repository exception
|
| RepositoryMissingException |
Repository missing exception
|
| RepositoryVerificationException |
Repository verification exception
|


After second cyber attack, UK Labour says it has security in place
LONDON (Reuters) - Britain’s main opposition Labour Party said on Tuesday is has ongoing security processes in place to protect its online platforms after hackers attempted to force its web services offline for the second time in two days.
“We have ongoing security processes in place to protect our platforms, so users may be experiencing some differences. We are dealing with this quickly and efficiently,” a Labour spokesman said in a statement.


Western Beats offers a number of services to it's users.
Please Login to access the above services.
Please go to My Account to access the above services.


WHITE MAN'S BURDEN A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 6.3
United States, 1995 U.S. Availability: 12/1/95 (wide) Running Length: 1:29 MPAA Classification: R (Profanity, violence, mature themes) Theatrical Aspect Ratio: 1.85:1
Cast: John Travolta, Harry Belafonte, Kelly Lynch, Margaret Avery, Sheryl Lee Ralph Director: Desmond Nakano Producer: Lawrence Bender Screenplay: Desmond Nakano Cinematography: Willy Kurant Music: Howard Shore U.S. Distributor: Savoy Pictures
Black is white and white is black. It's a clever gimmick, but, ultimately, as depicted in WHITE MAN'S BURDEN, that's all it is. Once the premise is set, writer/director Desmond Nakano doesn't know what to do with it. Added to that is the consideration that the basic story was developed in a screenplay written thirty years ago, when the entire concept would have seemed a lot more radical and original. Nowadays, seeing a prosperous black man isn't at all unusual. Likewise, it doesn't take much searching to uncover underprivileged whites.
In order to make it clear what's going on--that the blacks are the "haves" and the whites are the "have nots"--WHITE MAN'S BURDEN falls into a pattern of gross stereotyping and oversimplification. Indeed, without painting characters and situations in the broadest possible manner, there wouldn't be a concrete way to recognize the role reversal. Yet it's this reliance upon archetypes and cliches that undercuts the film's message.
The situation set forth in WHITE MAN'S BURDEN naturally raises a lot of background questions, none of which are answered. Are whites a racial minority, or have they simply been reduced to the lowest rung on the economic ladder (a sort of South Africa in reverse)? Were whites once slaves and blacks plantation owners? What is the country's political structure like? What color is the indigenous population of Africa? When you enter the Twilight Zone of an alternate reality, these are the kinds of things people are interested in, yet this film sidesteps them all.
There isn't much of a story in WHITE MAN'S BURDEN.  Travolta's Louis Pinnock, who used to work for Thaddeus' candy-making company, was fired as a result of a mistake by his bosses. So, in order to pay the rent and keep his family together, Louis decides to take matters into his own hands by demanding his lost wages from the man at the top of the corporate heap.
The idea of a relationship developing between a kidnapper and his victim is nothing new, and not much of interest is added here. Ultimately, however, in WHITE MAN'S BURDEN, the race reversal gimmick overshadows everything. The director is so busy pointing to skin color that he loses sight of the characters under the pigmentation. There's nothing compelling about either of the leads. They never connect with each other or the audience. Sure, there are some nice touches, like the scene where Louis teaches Thaddeus the best way to put salt on his French fries, but there aren't enough moments like that. It often seems that there's a good story trying to break free, but WHITE MAN'S BURDEN is so loaded down by contrivances and the need to get its message across that it smothers creativity.
After playing three similar characters in a row (see PULP FICTION and GET SHORTY), Travolta can probably do this kind of role in his sleep. And, of everything the actor has accomplished since Quentin Tarantino brought him back into the spotlight, this is the least impressive of his performances. Harry Belafonte, who has been largely absent from the screen for the better part of two decades, has chosen an odd movie for a comeback attempt. He's okay here, but this isn't the kind of part that will earn him raves.
The plot of WHITE MAN'S BURDEN is capable of holding an audience's attention for most of its running time. Based on the premise, however, viewers have a right to expect more than they get. Skin color swapping and facile assumptions about the relationship between race and economics are used more as cheap plot devices than as a basis for a probing examination of real issues. While it's the film makers' task to form something solid and meaningful out of their alternate reality, in this case, the burden appears to have been too great.
- James Berardinelli<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


public abstract class CountryIterator
extends java.lang.Object
The real power of CountryIterators is that they can be chained together. For example
CountryIterator foo = new PlayerIterator(0, new ContinentIterator(1, new NeighborIterator(5, countries)));
Will return an enumeration of all the countries owned by player 0 that are in continent 1 and border couuntry 5
The only difference among the subclasses provided is the constructor, which all take different parameters.
All subclasses must:
1. Have a constructor that sets the class variable countries to an array of Countries (usually it's all the countries in the game). The constructor must call getNextReady() as its last action.
2. implement the
abstract protected boolean isAHit( int code );
method, with code being the array index of the country to check to see if it should be returned.
| Constructor and Description |
|---|
CountryIterator() |
| Modifier and Type | Method and Description |
|---|---|
boolean |
hasNext()
Whether or not the Iterator contains more Countrys
|
Country |
next()
Removes the next Country from the Iterator and returns it.
|
public boolean hasNext()
public Country next()


Gold technical analysis: Eyes support at $1,456
by Omkar Godbole- Gold's daily chart shows a bearish Doji reversal.
- The yellow metal risks falling to support at $1,456.
Gold prices could drop to support at $1,456, the candlestick pattern on the daily chart indicates.
On Thursday, the yellow metal closed below $1,466 – the low of the Wednesday's Doji candle – confirming a bearish reversal. Put simply, the corrective bounce from the Nov. 12 low of $1,445 has ended and the bears have regained control.
Prices, therefore, look set to test support at $1,456 (Nov. 18 low).
Supporting the bearish case is the below-50 reading on the 14-day relative strength index (RSI). The ascending trendline breakdown on the hourly chart also indicates the path of least resistance is to the downside. As noted earlier this week, the gold market sentiment is still quite bearish.
On the higher side, Wednesday's Doji candle high of $1,479 is the level to beat for the bulls.
Daily chart
Trend: Bearish
Technical levels
XAU/USD
| Overview | |
|---|---|
| Today last price | 1464.3 |
| Today Daily Change | -0.76 |
| Today Daily Change % | -0.05 |
| Today daily open | 1465.06 |
| Trends | |
|---|---|
| Daily SMA20 | 1480.83 |
| Daily SMA50 | 1490.76 |
| Daily SMA100 | 1481.72 |
| Daily SMA200 | 1397.45 |
| Levels | |
|---|---|
| Previous Daily High | 1475.7 |
| Previous Daily Low | 1462.74 |
| Previous Weekly High | 1474.6 |
| Previous Weekly Low | 1445.8 |
| Previous Monthly High | 1519.04 |
| Previous Monthly Low | 1455.5 |
| Daily Fibonacci 38.2% | 1467.69 |
| Daily Fibonacci 61.8% | 1470.75 |
| Daily Pivot Point S1 | 1459.97 |
| Daily Pivot Point S2 | 1454.87 |
| Daily Pivot Point S3 | 1447.01 |
| Daily Pivot Point R1 | 1472.93 |
| Daily Pivot Point R2 | 1480.79 |
| Daily Pivot Point R3 | 1485.89 |


famafrench.FamaFrench.getFactorRegResults¶
-
FamaFrench.
getFactorRegResults
(self, ffmodel, boolRVar, scholeswilliams, roll_window, min_per, freq, dt_start, dt_end)[source]¶ Estimate factor-based quantities of risk (specifically, market betas) as well as residuals using rolling regressions. Rolling regressions require a fixed rolling window w/ a minimum number of observations within each window.
- Parameters
ffmodel (str) –
Possible choices include:
capm
: Market (CAPM) model\(R_{t}^{i} - R_{t}^{f} = \alpha _{i} + \beta^{Mkt}_{i}\left(R_{t}^{M}-R_{t}^{f}\right) +\varepsilon _{t}^{i}\)
ff3
: Fama-French 3 factor model\(R_{t}^{i} - R_{t}^{f} = \alpha _{i} + \beta^{Mkt}_{i}\left(R_{t}^{M}-R_{t}^{f}\right) + \beta^{SMB}_{i}R_{t}^{SMB} + \beta^{HML}_{i}R_{t}^{HML} + \varepsilon _{t}^{i}\)
boolRvar (bool) – Flag for choosing whether to calculate the variance of residuals (
boolRvar = True
) or the market betas estimated from a specified factor modelffmode
(boolRvar = False
).scholeswilliams (bool) –
Flag for choosing whether to implement the Dimson (1979) methodology - based on Scholes-Williams (1977) - for estimating betas in the presence of infrequent trading. The methodology used here as well as in Fama-French (1993) estimates betas by summing coefficient estimates pertaining to lagged and coincident market return variables adjusted for auto-correlation of the market return variables:
\[\widehat{\beta^{Mkt}}_{t, Dimson} = \frac{\left(\widehat{\beta^{Mkt}}_{t} + \widehat{\beta^{Mkt}}_{t-1}\right)}{\left(1 + 2\widehat{\rho}\right)}\]\(\widehat{\beta^{Mkt}}_{t}\) : OLS beta with the contemporaneous return of the market portfolio
\(\widehat{\beta^{Mkt}}_{t-1}\) : OLS beta with the return on the market portfolio lagged one period
\(\widehat{\rho}\) : First-order autocorrelation coefficient of the return on the market.
Otherwise, factor market betas are estimated in the usual sense using coincident market return variables.
roll_window (int) – Fixed size of the rolling (moving) window. This is the number of observations used for calculating the factor betas or the residual variances from factor models.
min_per (int) – Minimum number of observations in each window necessary to have an estimated value.
freq (str) –
Observation frequency. Possible choices are:
D
: dailyW
: weeklyM
: monthlyQ
: quarterly (3-months)A
: annual
dt_start (datetime.date) – Starting date for the dataset queried or locally retrieved.
dt_end (datetime.date) – Ending date for the dataset queried or locally retrieved.
- Returns
dfresVar, dfbeta – Dataset containing the panel of market betas OR residual variances estimated from rolling regressions.
- Return type
Note
This routine uses Numba, an opens-source just-in-time (JIT) compiler that translates a subset of Python and NumPy into fast machine code using the LLVM compiler written in C++. Using Numba a gives us C++/Fortran-like speed when estimating the rolling regressions. More details in source code utilizing Numba.
Todo
Extend the Dimson (1979) methodology based on Scholes and Williams (1977) to other factor quantities of risk beyond the market (CAPM) beta (eg, SMB and HML quantities of risk)
References
Scholes, Myron and Williams, Joseph. (1977). Estimating betas from nonsynchronous data, Journal of Financial Economics, (5)3, pp.309-327
Dimson, Elroy. (1979). Risk measurement when shares are subject to infrequent trading, Journal of Financial Economics, (7)2, pp.197-226
Fama, Eugene F., and Kenneth R. French. (1992). The Cross-section of Expected Stock Returns, Journal of Finance, 47(2), pp.427-465


- NAME:
- EMAIL ADDRESS:
- FACEBOOK PROFILE:
- IG PROFILE:
- PHONE NO:
MBONYE EDMUND
<EMAIL_ADDRESS>Edmund Nkezza
edmund_nkezza
0758029651/0793943133/0781798859
QUALIFICATIONS:
- O'LEVEL:
- A'LEVEL:
Uganda Certificate Of Education
Uganda Advanced Certificate Of Education


Welcome again Helen
My diets: L G M VLV
My daily energyneed is 1900 kcal
Please take your portion of Salmon casserole


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The National Park Image Gallery showcases Flickr images from every National Park in the United States. This application was created in honor of National Park Week.
Zoom and pan around the map to discover National Parks. Use the bottom gallery slider to view user images.


MindRetrieve is a personal search engine. Unlike general purpose search engines that intent to index and search every web page in the world, MindRetrieve focus on a small but very special area. That is the web that you have seen.
Everyday we read a large amount of information from the world wide web. The truth is most of them does not register. We often search for similar topics time after time. It is time consuming. Often after much work we find that we are looking at the same old documents like a déjà vu. MindRetrieve is here to help you to find information buried deep in your memory.
MindRetrieve is a lightweight, cross-platform, open source application available under the BSD license. It works with all popular web browsers.
Download and run the Windows installer. Then configure your web browser to use MindRetrieve as the http proxy at port 8051. Instructions for some popular web browsers are listed below.
Choose the Tools | Internet Options menu. Click the [Connections] tab. Then click the [LAN Settings...] button. Check the [Use a proxy server...] checkbox. Put 'localhost' for address and '8051' for port. Also check Bypass proxy for local address.(screen shot)
Choose the Tools | Options menu. Click the [Connections Settings] button. Select the 'Manual proxy configuration' radio box. Put 'localhost' in the HTTP Proxy field ands SSL Proxy field. Put '8051' in the port field. (screen shot)
Open the Preferences dialog box. Choose network and click the [Proxy Servers] button. Check the HTTP and HTTPS checkboxes. Put 'localhost' and '8051' in each row. (screen shot)
Note if your company of ISP or your company already requires you to manually configure a proxy to their server, you should set them up as a chain of proxies. Setup you browser's proxy to MindRetrieve with the instruction above. Then configure the ISP's proxy in the http_proxy entry in the http section of in the config.ini file. For example, if the original proxy is proxy.abc.com at port 1234, edit the entry as below:
Config.ini [http] http_proxy=http://proxy.abc.com:1234/
First download and install the dependent software components:
Download and install the linux tarball. Configure the browser's proxy setting using the procedure above. Then start the MindRetrieve engine using this command
python run.py --start &
To stop it, use this command
python run.py --start
MindRetrieve is now ready to listen and index web traffic for you. For example, start with a visit to MindRetrieve's home page. You may want to click you browser's reload button to ensure it loads a fresh copy after you have installed MindRetrieve.
Next open and bookmark the MindRetrieve start page [http://localhost:8050]. From there you will be able to search all previously loaded web pages. Usually an automatic indexing happens in the background periodically. For instant gratification, click 'config' and 'index now' to index the page you have just visited.
Let's enter the word 'personal search engine' in the start page. You should find the MindRetrieve home page, which you have just visited moments ago. That's it. Happy browsing and searching! Remember to use the bookmark to back to MindRetrieve's start page.
Should you want to uninstall MindRetrieve, first undo the proxy configuration from your web browser. For Windows version, use Add/Remove Program from the Control Panel to uninstall MindRetrieve. Finally if you want to permanently remove all data collected, simply delete all remaining files under the directory where you have MindRetrieve installed.
MindRetrieve works by archiving and indexing all web messages* that go through it. We find this make some very powerful application. However if you have concern on your web traffic being archived in any way at all, you should not install and use this application.
We recognize that your web history is very sensitive private data. In particular it has lucrative commercial value to advertisers. This application does not share or transfer your data in any form (unless you explicitly request it to do so). This is where MindRetrieve stands out from other similar applications. You do not have to believe in any deceptive privacy statements. As an open source application its operations can be independently audited.
*MindRetrieve does not read or store https messages.
For all feedback or issues, please contact me at tungwaiyip at users.berlios.de. Also look forward for an upcoming mailing list.
Version: 0.4.0 (2004-01-22)


This Allergen Info chart is specifically made for the Tim Horton’s in the ARC. Please use this as a guide on what to eat or drink if you have allergies, food sensitivities or follow an alternative diet. If at anytime, do you have any questions please feel free to check out our F.A.Q page.
| Hot Beverages | Cold Beverages | Breakfast Sandwiches | Lunch Items |
| French Vanilla | Iced Capp | Turkey Sausage Breakfast Sandwich | Extreme Italian |
| Hot Chocolate | Espresso on Ice | Egg White Turkey Sausage | Ham & Swiss |
| Café Mocha | Iced Coffee | Sausage Biscuit | |
| Creamy Chocolate Chill | Bacon Biscuit | ||
| Vanilla Bean Iced Latte | Sausage English Muffin | ||
| Iced Chocolate Latte | Bacon English Muffin | ||
| Bagel BELT | |||
| Turkey Sausage English Muffin |
| Hot Beverages | Cold Beverages | Breakfast Sandwiches | Lunch Items |
| Turkey Sausage Breakfast Sandwich | Extreme Italian | ||
| Egg White Turkey Sausage | Ham & Swiss | ||
| Sausage Biscuit | BLT | ||
| Bacon Biscuit | Chicken Salad | ||
| Sausage English Muffin | Crispy Chicken | ||
| Bacon English Muffin | |||
| Bagel BELT | |||
| Turkey Sausage English Muffin |
| Hot Beverages | Cold Beverages | Breakfast Sandwiches | Lunch Items |
| French Vanilla | Creamy Chocolate Chill | Turkey Sausage Breakfast Sandwich | Extreme Italian |
| Hot Chocolate | Vanilla Bean Iced Latte | Egg White Turkey Sausage | Ham & Swiss |
| Café Mocha | Sausage Biscuit | BLT | |
| Bacon Biscuit | Chicken Salad | ||
| Sausage English Muffin | Crispy Chicken | ||
| Bacon English Muffin | |||
| Bagel BELT | |||
| Turkey Sausage English Muffin |
| Hot Beverages | Cold Beverages | Breakfast Sandwiches | Lunch Items |
| Turkey Sausage Breakfast Sandwich | Turkey Bacon Club | ||
| Egg White Turkey Sausage | Ham & Swiss | ||
| Sausage Biscuit | BLT | ||
| Bacon Biscuit | Chicken Salad | ||
| Sausage English Muffin | Crispy Chicken | ||
| Bacon English Muffin | Extreme Italian | ||
| Bagel BELT | |||
| Turkey Sausage English Muffin |


!!About Me!!
I am a christian. A Nigerian currently studying and living in Japan. I am hoping to make new friends, learn a new culture, a new langauge, enjoy good food and most importantly have a lot of fun memories.
Education Background
| Year |
Degree |
School/University |
Major |
| 2015 |
Bachelor's Degree |
Covenant Unviversity, Nigeria |
International Relations |
| 2021 |
Master's Degree In view |
Kyoto College of Graduate Studies for Informatics, Japan |
Information Technology |
Work Experiences
| Period |
Company |
Position |
| May 2014 - Aug 2014 |
Legacy Bureau de Change, Nigeria |
Intern |
| Oct 2015 - Oct 2016 |
Light Way Secondary School |
Teacher |
| Jan 2017-March 2019 |
Yamahachi Global Concept Limited, Nigeria |
Supervisor |
For more info about me, click below
LinkedIn
Facebok
Twitter


func FileOptions(f *ast.File) ([]interface{}, error)
FileOptions walks the specified ast.File for options structs used when creating metrics and returns instances that are recreated from the source.
func Options(pkgs []*packages.Package) ([]interface{}, error)
Options scans the provided list of packages for options structs used when creating metrics and returns instances that are recreated from the source tree.
type Cell struct {
// contains filtered or unexported fields
}
func (c Cell) BucketFormat() string
func (c Cell) Description() string
func (c Cell) Field(f Field) string
func (c Cell) Labels() string
func (c Cell) Name() string
func (c Cell) Type() string
type Cells []Cell
func NewCells(options []interface{}) (Cells, error)
NewCells transforms metrics options to cells that can be used for doc generation.
func (c Cells) Len() int
func (c Cells) Less(i, j int) bool
func (c Cells) MaxLen(f Field) int
func (c Cells) Swap(i, j int)
A Column represents a column of data in the reference table.
type Column struct { Field Field Name string Width int }
A Field represents data that is included in the reference table for metrics.
type Field uint8
const ( Name Field = iota // Name is the meter name. Type // Type is the type of meter option. Description // Description is the help text from the meter option. Labels // Labels is the meter's label information. Bucket // Bucket is the statsd bucket format )
A Table maintains the cells and columns used to generate the restructured text formatted reference documentation.
type Table struct { Columns []Column Cells Cells }
func NewPrometheusTable(cells Cells) Table
NewPrometheusTable creates a table that can be used to document Prometheus metrics maintained by Fabric.
func NewStatsdTable(cells Cells) Table
NewStatsdTable creates a table that can be used to document StatsD metrics maintained by Fabric.
func (t Table) Generate(w io.Writer)
Generate generates a restructured text formatted table from the cells and columns contained in the table.


1. Introduction
Gwent cards are special playing cards used in an ancient dwarven game in The Witcher 3: Wild Hunt. Gwent is a competitive sport in the Northern Realms, so you’ll need a great deck and a quick wit to beat some of the stronger players.
To build a great deck, you’ll need to collect rare cards. In this guide, we’re going to show you all the Gwent cards, their effects and locations. We also have a general Gwent guide for newcomers.
There are four faction decks to choose from when playing: the Northern Realms, the Nilfgaardian
Empire, the Scoia’tael and the Monsters. There are also neutral cards, which you can put in any deck. Each faction has its own unique cards, passive perks and leader abilities. You can unlock new cards by doing quests, buying them from vendors and finding them throughout the world.
2. Innkeeper Elsa – White Orchard Gwent Card Purchase Location
Innkeeper Elsa in White Orchard tavern sells cards. You’ll talk with her during the main quest “Lilac and Gooseberries”.
3. Northern Realms Deck
| Name | Preview | Strength | Type | Ability | Location |
|---|---|---|---|---|---|
Foltest, King of Temeria |
|
|
Leader |
Instantly play an Impenetrable Fog from your deck |
You start with it. |
Foltest, Lord Commander Of The North |
|
|
Leader |
Clear all weather effects |
Elsa, White Orchard Tavern |
Foltest The Steel-forged |
|
|
Leader |
Destroy enemy’s siege units if their combined strength is over 10 |
Passiflora, Novigrad |
Foltest The Siegemaster |
|
|
Leader |
Double the strength of your siege units if you have a Commander’s Horn in the row |
Nobleman at Vizima Palace |
Philippa Eilhart |
|
10 |
Hero Ranged |
Immune to special cards |
Random win |
Vernon Roche |
|
10 |
Hero Melee |
Immune to special cards |
Hadko, Midcopse |
Esterad Thyssen |
|
10 |
Hero Melee |
Immune to special cards |
Djikstra, Novigrad Bathhouse |
John Natalis |
|
10 |
Hero Melee |
Immune to special cards |
Ravvy, Golden Sturgeon Tavern, Novigrad |
Thaler |
|
1 |
Siege |
Spy |
Inkeeper, Arinbjorn, Skellige |
Redanian Foot Soldier |
|
1 |
Melee |
/ |
You start with it |
Poor Fucking Infantry |
|
1 |
Melee |
Tight Bond |
You start with it |
Kaedweni Siege Expert |
|
1 |
Siege |
Morale Boost |
You start with it |
Yarpen Zigrin |
|
2 |
Melee |
/ |
You start with it |
Sigismund Dijkstra |
|
4 |
Melee |
Spy |
Philip Strenger, Crow’s Perch |
Sheldon Skaggs |
|
4 |
Ranged |
/ |
You start with it |
Blue Stripes Commando |
|
4 |
Melee |
Tight Bond |
Elsa, White Orchard Tavern |
Sabrina Gevissig |
|
4 |
Ranged |
/ |
You start with it |
Ves |
|
5 |
Melee |
/ |
You start with it |
Siegfried of Denesle |
|
5 |
Melee |
/ |
You start with it |
Prince Stennis |
|
5 |
Melee |
Spy |
You start with it |
Crinfrid Reavers Dragon Hunter |
|
5 |
Ranged |
Tight Bond |
Elsa, White Orchard Tavern |
Keira Metz |
|
5 |
Ranged |
/ |
You start with it |
Dun Banner Medic |
|
5 |
Siege |
Medic |
You start with it |
Sile de Tansarville |
|
5 |
Ranged |
/ |
You start with it |
Siege Tower |
|
6 |
Siege |
/ |
Random win |
Dethmold |
|
6 |
Ranged |
/ |
You start with it |
Trebuchet |
|
6 |
Siege |
/ |
You start with it |
Ballista |
|
6 |
Siege |
/ |
You start with it |
Catapult |
|
8 |
Siege |
Tight Bond |
Elsa, White Orchard Tavern |
Special abilities:
-
Spy – Place on your opponent’s battlefield (counts towards opponent’s total), and draw 2 cards from your deck.

-
Medic – Choose one card from your discard pile and play it instantly (no heroes or special cards).

-
Tight Bond – Place next to a card with the same name to double the strength of both cards.

-
Morale Boost – Adds 1 strength to all units in the row (except itself).

4. Nilfgaardian Empire Deck
| Name | Preview | Strength | Type | Ability | Location |
|---|---|---|---|---|---|
Emhyr var Emreis,His Imperial Majesty |
|
|
Leader |
Play a Torrential Rain from your deck |
You start with it. |
Emhyr var Emreis,Emperor of Nilfgaard |
|
|
Leader |
Lets you see 3 random cards from opponent’s hand |
Innkeeper, Inn at the Crossroads |
Emhyr var Emreis,The White Flame Dancing on the Graves of His Foes |
|
|
Leader |
Cancel opponent’s leader ability |
Complete Gwent: Skellige Style |
Emhyr var Emreis,The Relentless |
|
|
Leader |
Pick a card from opponent’s discard pile |
Passiflora, Novigrad |
Tibor Eggebracht |
|
10 |
Hero Ranged |
Immune to special cards |
Olivier, Kingfisher Inn, Novigrad |
Letho of Gulet |
|
10 |
Hero Melee |
Immune to special cards |
Boatbuilder, Oreton |
Morvran Voorhis |
|
10 |
Hero Siege |
Immune to special cards |
Marquise Serenity, Passiflora, Novigrad |
Menno Coehoorn |
|
10 |
Hero Melee |
Immune to special cards |
Innkeeper, Inn at the Crossroads |
Siege Technician |
|
0 |
Siege |
Medic |
Inkeeper, Golden Sturgeon |
Etolian Auxiliary Archers |
|
1 |
Ranged |
Medic |
Merchant, Midcopse |
Albrich |
|
2 |
Ranged |
/ |
Merchant, Crow’s Perch |
Sweers |
|
2 |
Ranged |
/ |
Merchant, Claywich Village |
Nausicaa Cavalry Rider |
|
2 |
Melee |
Tight Bond |
Merchant, Crow’s Perch |
Vreemde |
|
2 |
Melee |
/ |
Random win |
Rotten Mangonel |
|
3 |
Siege |
/ |
Random win |
Morteisen |
|
3 |
Melee |
/ |
Merchant, Midcopse |
Puttkammer |
|
3 |
Ranged |
/ |
Merchant, Claywich Village |
Impera Brigade Guard |
|
3 |
Melee |
Tight Bond |
Merchant, Crow’s Perch |
Vanhemar |
|
4 |
Ranged |
/ |
Random win |
Vattier de Rideaux |
|
4 |
Melee |
Spy |
Random win |
Rainfarn |
|
4 |
Melee |
/ |
Merchant, Midcopse |
Cynthia |
|
4 |
Ranged |
/ |
Quartermaster, Crow’s Perch |
Zerrikanian Fire Scorpion |
|
5 |
Siege |
/ |
Merchant, Crow’s Perch |
Young Emmisary |
|
5 |
Melee |
Tight Bond |
Innkeeper, Cunny of The Goose |
Renuald Aep Matsen |
|
5 |
Ranged |
/ |
Random win |
Siege Engineer |
|
6 |
Siege |
/ |
Innkeeper, Inn at the Crossroads |
Cahir Mawr Dyffryn aep Ceallach |
|
6 |
Melee |
/ |
Random win |
Fringilla Vigo |
|
6 |
Ranged |
/ |
Caesar Bilzen |
Assire var Anahid |
|
6 |
Ranged |
/ |
|
Shilard Fitz-Oesterlen |
|
7 |
Melee |
Spy |
Random win |
Stefan Skellen |
|
9 |
Melee |
Spy |
Random win |
Heavy Zerrikanian Fire Scorpion |
|
10 |
Siege |
/ |
Merchant, Midcopse |
Black Infantry Archer |
|
10 |
Ranged |
/ |
Merchant, Midcopse |
Special abilities:
-
Spy – Place on your opponent’s battlefield (counts towards opponent’s total), and draw 2 cards from your deck.

-
Medic – Choose one card from your discard pile and play it instantly (no heroes or special cards).

-
Tight Bond – Place next to a card with the same name to double the strength of both cards.

-
Morale Boost – Adds 1 strength to all units in the row (except itself).

5. Scoia’tael Deck
| Name | Preview | Strength | Type | Ability | Location |
|---|---|---|---|---|---|
Francesca, Pureblood Elf |
|
|
Leader |
Play Bitting Frost from you deck |
You start with it |
Francesca The Beautiful |
|
|
Leader |
Double the strength of your Ranged row if there’s no Commander’s Horn |
Complete Gwent: Big City Players |
Francesca, Daisy of The Valley |
|
|
Leader |
Draw an extra card at the start of the battle |
Innkeeper, Cunny of the Goose |
Francesca, Queen of Dol Blathanna |
|
|
Leader |
Destroy opponent’s Melee units if his Melee strength is over 10 |
Passiflora, Novigrad |
Saesenthessis |
|
10 |
Hero Ranged |
Immune to special cards |
Roche, Temerian Resistance Camp |
Iorveth |
|
10 |
Hero Ranged |
Immune to special cards |
Druid, Gedyneith, Ard Skellig (Shock Therapy quest) |
Isengrim Faoiltiarnah |
|
10 |
Hero Melee |
Morale, Immune to special cards |
Zed’s home, Novigrad |
Eithne |
|
10 |
Hero Ranged |
Immune to special cards |
Zoltan, Rosemary and Thyme, Novigrad |
Havekar Healer |
|
0 |
Ranged |
/ |
Random win |
Riordain |
|
1 |
Ranged |
/ |
Random win |
Toruviel |
|
2 |
Ranged |
/ |
Random win |
Elven Skirmisher |
|
2 |
Ranged |
Muster |
Innkeeper, Urialla Village, Skellige |
Dwarven Skirmisher |
|
3 |
Melee |
Muster |
Stjepan, Alchemy Inn, Oxenfurt |
Ciaran aep Easnillien |
|
3 |
Ranged |
Agile |
Random win |
Vrihedd Brigade Recruit |
|
4 |
Ranged |
/ |
Random win |
Dol Blathanna Archer |
|
4 |
Ranged |
/ |
Merchant, Passiflora, Novigrad |
Hav’caaren Medic |
|
5 |
Melee |
Muster |
Merchant, Seven Cats Inn, Novigrad |
Havekar Smuggler |
|
5 |
Melee |
Spy |
Merchant, Seven Cats Inn, Novigrad |
Mahakaman Defender |
|
5 |
Melee |
Muster |
Merchant, Seven Cats Inn, Novigrad |
Vrihedd Brigade Veteran |
|
5 |
Melee |
Agile |
Olivier, Kingfisher Inn, Novigrad |
Dennis Cranmer |
|
6 |
Melee |
/ |
Random win |
Filavandrel |
|
6 |
Ranged |
Agile |
Random win |
Ida Emean |
|
6 |
Ranged |
/ |
Random win |
Yaevinn |
|
6 |
Melee |
Agile |
Sjusta, Kaer Trolde, Skellige |
Barclay Els |
|
6 |
Melee |
Agile |
Innkeeper, Golden Sturgeon, Novigrad |
Dol Blathanna Scout |
|
6 |
Melee |
Agile |
Innkeeper, Golden Sturgeon, Novigrad |
Milva |
|
10 |
Ranged |
Morale |
Win at ball, Vegelbud Estate, Novigrad |
Special abilities:
-
Muster – Immediately play cards with the same name.

-
Medic – Choose one card from your discard pile and play it instantly (no heroes or special cards).

-
Agile – Card can be placed into Melee or Ranged row.

-
Morale – Adds 1 strength to all units in the row (except itself).

6. Monster Deck
| Name | Preview | Strength | Type | Ability | Location |
|---|---|---|---|---|---|
Eredin, Commander of the Red Riders |
|
|
Leader |
Play a weather card from your deck |
You start with it |
Eredin, Bringer of Death |
|
|
Leader |
Discard 2 cards and draw 1 of your choosing |
Complete Gwent: Velen Players |
Eredin, Destroyer of Worlds |
|
|
Leader |
Take one card from the discard pile |
Passiflora, Novigrad |
Eredin, King of The Wild Hunt |
|
|
Leader |
Double the strength of Melee row, unless there’s a Commander’s Horn |
Innkeeper, New Port Inn, Kaer Trolde, Skellige |
Kayran |
|
8 |
Hero Ranged |
Morale Immune to special cards |
Random win |
Leshen |
|
10 |
Hero Ranged |
Immune to special cards |
Ermion, Gedyneith, Skellige |
Imlerith |
|
10 |
Hero Melee |
Immune to special cards |
Random win |
Draug |
|
10 |
Hero Melee |
Immune to special cards |
Crach an Craite, Kaer Trolde, Skellige |
Ghoul |
|
1 |
Melee |
Muster |
Inkeeper, Harviken, Skellige |
Nekker |
|
2 |
Melee |
Muster |
Inkeeper, Harviken, Skellige |
Wyvern |
|
2 |
Ranged |
/ |
Random win |
Foglet |
|
2 |
Melee |
/ |
Innkeeper, Svorlag, Skellige |
Celaeno Harpy |
|
2 |
Ranged |
/ |
Random win |
Gargoyle |
|
2 |
Ranged |
/ |
Random win |
Cockatrice |
|
2 |
Ranged |
/ |
Random win |
Harpy |
|
2 |
Ranged |
Agile |
Innkeeper, Harviken, Skellige |
Endrega |
|
2 |
Ranged |
/ |
Random win |
Vampire: Bruxa |
|
4 |
Melee |
Muster |
Win at ball, Vegelbud Estate, Novigrad |
Vampire: Fleder |
|
4 |
Melee |
Muster |
Innkeeper, Harviken, Skellige |
Vampire: Garkain |
|
4 |
Melee |
Muster |
Random win |
Vampire: Ekimmara |
|
4 |
Melee |
Muster |
Innkeeper, Svorlag, Skellige |
Arachas |
|
4 |
Melee |
Muster |
Innkeeper, Arinbjorn, Skellige |
Botchling |
|
4 |
Melee |
/ |
Innkeeper, New Port Inn, Kaer Trolde, Skellige |
Forktail |
|
5 |
Melee |
/ |
Random win |
Plague Maiden |
|
5 |
Melee |
/ |
Random win |
Griffin |
|
5 |
Melee |
/ |
Random win |
Werewolf |
|
5 |
Melee |
/ |
Innkeeper, Urialla Village, Skellige |
Frightener |
|
5 |
Melee |
/ |
Random win |
Ice Giant |
|
5 |
Siege |
/ |
Innkeeper, Svorlag, Skellige |
Grave Hag |
|
5 |
Ranged |
/ |
Random win |
Vampire: Katakan |
|
5 |
Melee |
Muster |
Jarl Lugos, Kaer Muire, Skellige |
Crone: Whispess |
|
6 |
Melee |
Muster |
Innkeeper, Arinbjorn, Skellige |
Crone: Brewess |
|
6 |
Melee |
Muster |
Random win |
Crone: Weavess |
|
6 |
Melee |
Muster |
Old Sage, Benek |
Arachas Behemoth |
|
6 |
Siege |
Muster |
Random win |
Fire Elemental |
|
6 |
Siege |
/ |
Random win |
Fiend |
|
6 |
Melee |
/ |
Innkeeper, Arinbjorn, Skellige |
Earth Elemental |
|
6 |
Siege |
/ |
Innkeeper, New Port Inn, Skellige |
Special abilities:
-
Muster – Immediately play cards with the same name.

-
Agile – Card can be placed into Melee or Ranged row.

-
Morale – Adds 1 strength to all units in the row (except itself).

7. Neutral Cards
| Name | Preview | Strength | Type | Ability | Location |
|---|---|---|---|---|---|
Geralt of Rivia |
|
15 |
Hero Melee |
Immune to special cards |
Thaler, Seven Cats Inn, Novigrad |
Cirilla Fiona Elen Riannon |
|
15 |
Hero Melee |
Immune to special cards |
Merchant, Camp in Novigrad Forest |
Yennefer of Vengerberg |
|
7 |
Hero Ranged |
Medic Immune to special cards |
Stjepan, Alchemy Inn, Oxenfurt |
Triss Merigold |
|
7 |
Hero Melee |
Immune to special cards |
Lambert, Nowhere Inn, Novigrad |
Avallac’h |
|
0 |
Hero Melee |
Spy Immune to special cards |
Gremita, Gedyneith, Skellige |
Dandelion |
|
2 |
Melee |
Morale |
Win at ball, Vegelbud Estaten, Novigrad |
Zoltan Chivay |
|
5 |
Melee |
/ |
Random win |
Emiel Regis Rohellec Terzieff |
|
5 |
Melee |
/ |
Random win |
Vesemir |
|
6 |
Melee |
/ |
Vivaldi, Vivaldi’s Bank, Novigrad |
Villentretenmerth |
|
7 |
Melee |
Scorch |
Random win |
Special abilities:
-
Spy – Place on your opponent’s battlefield (counts towards opponent’s total), and draw 2 cards from your deck.

-
Scorch – Destroy opponent’s Melee units if his Melee strength is over 10.

-
Morale – Adds 1 strength to all units in the row (except itself).

-
Medic – Choose one card from your discard pile and play it instantly (no heroes or special cards).

8. Special Cards
The only special cards we’ve seen so far are weather cards – they are used to decrease the strength of certain unit types.
| Name | Preview | Description | Location |
|---|---|---|---|
Biting Frost |
|
Sets the strength of all melee units to 1 for both players |
You start with it |
Impenetrable Fog |
|
Sets the strength of all ranged units to 1 for both players |
You start with it |
Torrential Rain |
|
Sets the strength of all siege units to 1 for both players |
You start with it |
Clear Weather |
|
Eliminates all weather effects from the board. |
You start with it |
Decoy |
|
Swap with a card on the battlefield to return it to your hand. |
Elsa, White Orchard Tavern |
Scorch |
|
Destroy all cards on the board with 7 strength or more. |
Innkeeper, Cunny of the Goose, Novigrad |
Commander’s Horn |
|
Double the strength of a row (for that player only). |
Innkeeper, Inn at the Crossroads |


{% if serviceName %} {{ serviceName }} {% endif %}
4. Apply
Before you apply make sure you have:
- your National Insurance number
- a fit note (also known as a sick note or doctor’s note)
- the name, address and telephone number of your GP
- home and mobile telephone numbers
- employers address and telephone number, dates of employment, date SSP ends from SSP1 and final payment details from payslips
- bank, building society or post office account details
- details of any money you are getting
- details of any savings and investments you have
The online service is also available in Welsh (Cymraeg).
You cannot register for this service if you’re in the UK illegally.


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I now explain how to use this DFT library by referring to an example source code shown below. This source code is included in the distribution package under src/dft-tester directory.
// gcc tutorial.c -lsleef -lsleefdft -lm
#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <math.h>
#include <complex.h>
#include "sleef.h"
#include "sleefdft.h"
#define THRES 1e-4
typedef double complex cmpl;
cmpl omega(double n, double kn) {
return cexp((-2 * M_PI * _Complex_I / n) * kn);
}
void forward(cmpl *ts, cmpl *fs, int len) {
for(int k=0;k<len;k++) {
fs[k] = 0;
for(int n=0;n<len;n++) fs[k] += ts[n] * omega(len, n*k);
}
}
int main(int argc, char **argv) {
int n = 256;
if (argc == 2) n = 1 << atoi(argv[1]);
SleefDFT_setPlanFilePath("plan.txt", NULL, SLEEF_PLAN_AUTOMATIC);
double *sx = (double *)Sleef_malloc(n*2 * sizeof(double));
double *sy = (double *)Sleef_malloc(n*2 * sizeof(double));
struct SleefDFT *p = SleefDFT_double_init1d(n, sx, sy, SLEEF_MODE_FORWARD);
if (p == NULL) {
printf("SleefDFT initialization failed\n");
exit(-1);
}
cmpl *ts = (cmpl *)malloc(sizeof(cmpl)*n);
cmpl *fs = (cmpl *)malloc(sizeof(cmpl)*n);
for(int i=0;i<n;i++) {
ts[i] =
(2.0 * (rand() / (double)RAND_MAX) - 1) * 1.0 +
(2.0 * (rand() / (double)RAND_MAX) - 1) * _Complex_I;
sx[(i*2+0)] = creal(ts[i]);
sx[(i*2+1)] = cimag(ts[i]);
}
forward(ts, fs, n);
SleefDFT_double_execute(p, NULL, NULL);
int success = 1;
for(int i=0;i<n;i++) {
if ((fabs(sy[(i*2+0)] - creal(fs[i])) > THRES) ||
(fabs(sy[(i*2+1)] - cimag(fs[i])) > THRES)) {
success = 0;
}
}
printf("%s\n", success ? "OK" : "NG");
free(fs); free(ts);
Sleef_free(sy); Sleef_free(sx);
SleefDFT_dispose(p);
exit(success);
}
Fig. 4.1: Test code for DFT subroutines
As shown in the first line, you can compile the source code with the following command, after you install the library.
$ gcc tutorial.c -lsleef -lsleefdft -lm
This program takes one integer argument n. It executes forward complex transform with size 2n using a naive transform and the library. If the two results match, it prints OK.
For the first execution, this program takes a few seconds to finish. This is because the library measures computation speed with many different configurations to find the best execution plan. The best plan is saved to "plan.txt", as specified in line 28. Later executions will finish instantly as the library reads the plan from this file. Instead of specifying the file name in the program, the file can be specified by SLEEFDFTPLAN environment variable. Instead of constructing or loading a plan, the library can estimate a modestly good configuration, if SLEEF_MODE_ESTIMATE flag is specified at line 30.
This library executes transforms using the most suitable SIMD instructions available on the computer, in addition to multi-threading. In order to make the computation efficient, the library requires the input and output arrays to be aligned to some boundaries so that the data can be accessed with SIMD instructions. By using Sleef_malloc, as seen in line 37 and 38, this alignment is ensured. Memory allocated with Sleef_malloc has to be freed with Sleef_free, as seen in line 68. When a transform is executed, you need to pass the pointer returned by Sleef_malloc. You can allocate an aligned memory region yourself, and pass the pointer to the library.
The real and imaginary parts of the kth number are stored in (2k)-th and (2k+1)-th elements of the input and output array, respectively. At line 54, the transform is executed by the library. You can specify the same array as the input and output.
Under src/dft-tester directory, there are other examples showing how to execute transforms in a way that you get equivalent results to other libraries.
Sleef_malloc - allocate aligned memory
Synopsis
#include <stdlib.h>
#include <sleef.h>
void * Sleef_malloc(size_t z);
Link with -lsleef.
Description
Sleef_malloc allocates z bytes of aligned memory region, and return the pointer to that region. The returned pointer points an address that can be accessed by all SIMD load and store instructions available on that computer. Memory regions allocated by Sleef_malloc have to be freed with Sleef_free.
Sleef_free - free memory allocated by Sleef_malloc
Synopsis
#include <stdlib.h>
#include <sleef.h>
void Sleef_free(void *ptr);
Link with -lsleef.
Description
A memory region pointed by ptr that is allocated by Sleef_malloc can be freed with Sleef_free.
SleefDFT_setPlanFilePath - set the file path for storing execution plans
Synopsis
#include <stdint.h>
#include <sleefdft.h>
void SleefDFT_setPlanFilePath(const char *path, const char *arch, uint64_t mode);
Link with -lsleefdft -lsleef.
Description
File name for storing execution plan can be specified by this function. If NULL is specified as path, the file name is read from SLEEFDFTPLAN environment variable. A string for identifying system micro architecture can be also given. The library will automatically detect the marchitecture if NULL is given as arch. Management options for the plan file can be specified by the mode parameter, as shown below.
| Table 4.2: Mode flags for SleefFT_setPlanFilePath | ||||||||||||
|
SleefDFT_double_init1d, SleefDFT_float_init1d, SleefDFT_longdouble_init1d - initialize the tables for 1D transform
Synopsis
#include <stdint.h>
#include <sleefdft.h>
struct SleefDFT * SleefDFT_double_init1d(uint32_t n, const double *in, double *out, uint64_t mode);
struct SleefDFT * SleefDFT_float_init1d(uint32_t n, const float *in, float *out, uint64_t mode);
struct SleefDFT * SleefDFT_longdouble_init1d(uint32_t n, const long double *in, long double *out, uint64_t mode);
Link with -lsleefdft -lsleef.
Description
These functions generates and initializes the tables that is used for 1D transform, and returns the pointer. Size of transform can be specified by n. Currently, power-of-two sizes can be only specified. The list of the flags that can be passed to mode is shown below.
| Table 4.3: Mode flags for SleefDFT_double_init | ||||||||||||||||||||||||
|
Return value
These functions return a pointer to the data that is used for 1D DFT computation, or NULL if an error occurred.
SleefDFT_double_init2d, SleefDFT_float_init2d, SleefDFT_longdouble_init2d - initialize the tables for 2D transform
Synopsis
#include <stdint.h>
#include <sleefdft.h>
struct SleefDFT * SleefDFT_double_init2d(uint32_t n, uint32_t m, const double *in, double *out, uint64_t mode);
struct SleefDFT * SleefDFT_float_init2d(uint32_t n, uint32_t m, const float *in, float *out, uint64_t mode);
struct SleefDFT * SleefDFT_longdouble_init2d(uint32_t n, uint32_t m, const long double *in, long double *out, uint64_t mode);
Link with -lsleefdft -lsleef.
Description
These functions generates and initilizes the tables that is used for 2D transform, and returns the pointer. Size of transform can be specified by n. Currently, power-of-two sizes can be only specified. The list of the flags that can be passed to mode is shown below.
Return value
These functions return a pointer to the data that is used for 2D DFT computation, or NULL if an error occurred.
SleefDFT_double_execute, SleefDFT_float_execute, SleefDFT_longdouble_execute - execute a transform
Synopsis
#include <stdint.h>
#include <sleefdft.h>
void SleefDFT_double_execute(struct SleefDFT *ptr, const double *in, double *out);
void SleefDFT_float_execute(struct SleefDFT *ptr, const float *in, float *out);
void SleefDFT_longdouble_execute(struct SleefDFT *ptr, const long double *in, long double *out);
Link with -lsleefdft -lsleef.
Description
ptr is a pointer to the plan. in and out must be pointers returned from Sleef_malloc function. You can specify the same pointer to in and out.
SleefDFT_dispose - dispose the tables for transforms
Synopsis
#include <stdint.h>
#include <sleefdft.h>
void SleefDFT_dispose(struct SleefDFT *ptr);
Link with -lsleefdft -lsleef.
Description
This function frees a plan returned by SleefDFT_double_init1d, SleefDFT_float_init1d, SleefDFT_longdouble_init1d, SleefDFT_double_init2d, SleefDFT_float_init2d, or SleefDFT_longdouble_init2d functions.


org.judal.storage.query
Interfaces
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Sorting Process
All Iterations of the bubble sort
{% for iter in iterations %}
{{iter}}
{% endfor %}


George Stephen
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George Stephen
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@Ritesh
member
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Sanghani
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@Govinda
developer
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#include "graphics.h" int getvisualpage(void);
The visual graphics page might not be the one where drawing currnetly takes place.
The original winbgi was designed to support up to 16 pages, but I have only used pages 1 and 2 myself. NOTE: Using page number 0 might mess up the colors. I use pages 1-2 for double buffering.


Search at the patient level by name or MRN. If you don't have the patient name, you can search by other demographic factors.
Using technologies like Hadoop, PostgreSQL, and Elastic Search we can deliver granular, blazingly fast search along any data edge that you require, even if we don't know what we are looking for in advance.
| Patient Name | MRN | |
| Dolor Fusce | 654-1816 | |
| Eu Sem Pellentesque | 937-5793 | |
| Maecenas | 682-9676 | |
| Augue Porttitor | 389-1087 | |
| Dapibus | 893-7857 | |
| Eleifend | 1-783-967-8521 | |
| Tincidunt | 486-7965 | |
| Et | 462-2201 |


|
mesh - mesh handle
brush (optional) - brush handle |
|
Creates a surface attached to a mesh and returns the surface's handle.
Surfaces are sections of mesh which are then used to attach triangles to. You must have at least one surface per mesh in order to create a visible mesh, however you can use as many as you like. Splitting a mesh up into lots of sections allows you to affect those sections individually, which can be a lot more useful than if all the surfaces are combined into just one. |
|
Graphics3D 640,480
SetBuffer BackBuffer() mesh = CreateMesh() surf = CreateSurface(mesh) v0 = AddVertex (surf, -5,-5,0, 0 ,0) v1 = AddVertex (surf, 5,-5,0, 1 ,0) v2 = AddVertex (surf, 0, 5,0, 0.5,1) tri = AddTriangle (surf,v0,v2,v1) cam = CreateCamera() MoveEntity cam, 0,0,-7 RenderWorld Flip WaitKey End |


Big Black Friday 2019 deals from South Africa’s banks
by Staff WriterWhile Black Friday is traditionally seen as a retail shopping holiday, a number of South African banks have indicated that they will be offering deals on the day.
This includes deals on travel and hotels, specials on various financing products, as well as a number of deals on their various reward platforms.
You can find some of the confirmed deals below.
Absa
Absa said that its Rewards customers will earn double points for online purchases made between Black Friday and Cyber Monday (29 November – 02 December 2019).
The bank said that customers will also be able to access a number of deals including:
- R1000 off selected international flights;
- R250 off domestic flights;
- Special Travelstart deals;
- 20% cashback at Planet54.
You can find out more about Absa’s Black Friday 2019 deals here.
FNB
FNB has confirmed that it will have special eBucks deals on a range of items over Black Friday.
The bank said that over the past three years, FNB has seen a substantial increase in transaction volumes for the period between Black Friday and Cyber Monday.
In 2018, Black Friday transaction volumes grew by 16% compared to 2017. The total number of transactions processed through our payment system over the course of the Black Friday weekend were 10 million on Friday, 8 million on Saturday, 5.9 million on Sunday and 6 million on Cyber Monday.
This year it said it anticipates a 15% increase in the total number of transactions between 29 November and 02 December
Nedbank
Nedbank’s Black Friday deals cover everything from special deals on cheque accounts to travel offers and investment deals.
Some of the most notable deals include:
- Up to R3,000 back by opening a Nedbank Savvy Plus or Savvy Bundle cheque account;
- Apply for a Nedbank credit, American Express Platinum or Gold or SAA Voyager credit card online before 30 November 2019, spend R2,500 or more per month for six months, and you could win your share of R200,000 in cash;
- Get up to 35% off on flights, accommodation and car hire, up to 60% off at Sun International hotels and up to 20% off your booking at aha hotels and lodges;
- Start your investment journey on Black Friday and get a great interest rate for a limited period only. Invest online or on the Nedbank Money app for a 12-month Nedbank Electronic Fixed Deposit Account to take advantage of this exclusive offer.
You can find out more about Nedbank’s Black Friday 2019 deals here.
Standard Bank
Standard Bank says that it will be offering the opportunity to collect double UCount Rewards Points on all qualifying purchases when you shop at select Rewards retailers.
Some of these retailers include:
- Clicks
- HiFi Corp
- Hirsch’s
- KFC
- Freshstop
- Incredible Connection
- Makro
The bank said his offer starts at 00h00 on Friday (29 November) 2019 and ends at 23h59. A similar promotion will also be held over Cyber Monday (2 December).
You can find out more about the promotion here.


Do you believe that the laws of the country should be interpreted primarily according to the intentions of the founding fathers or according to current prevailing values?
Do you believe that each individual should be responsible for the choice of and payment for of their own healthcare, or that the state has an obligation to regulate and provide health care for all citizens?
Do you believe that the best way to improve national prosperity is by a free market or a managed economy?
Do you believe that marriage is defined as a relationship between a man and a woman, or that marriage is more broadly defined as a relationship between consenting adults?
Do you believe that global warming is real and a result of human activity, or that evidence is inconclusive?

I guess you like money.
You probably voted for Bill Clinton.
You might have voted for LBJ
You may be a card carrying commie.


Samsung Galaxy S11 specifications leaked online: Here is everything that you need to know
by RahulAs the case with most of the yet-to-be-released smartphones, the specifications and renders of the upcoming Samsung Galaxy S11 got leaked online before the launch date.
As per leaked renders, the Galaxy S11 is going to feature a hole-punch design, but this time around it will be located at the center, as opposed to the Galaxy S10, on which the hole-punch was located at the right corner of the display. This will make the upcoming S11 look a lot like the Note 10 series smartphones. The S11 is also likely to continue the trend of the flagship Galaxy smartphones having a curved display. However, in S1, the curvature appears to be slightly lesser than what we saw on its predecessor, the Galaxy S10.
Galaxy S11 series of smartphones are expected to come with both 4G and 5G capability and powering the smartphone will either be a Qualcomm Snapdragon 865 SoC or an Exynos 990 SoC (depending on the market). It’ll run Android 10-based OneUI 2.0 out of the box.
Talking about the camera, or should I say cameras, the Galaxy S11 will feature a huge 108MP Samsung ISOCELL HMX sensor, which by the way is going to be better than the one you find on the recently-released Mi Note 10 and Mi MIX Alpha. The smartphone will ship with useful camera features and these include Director’s View Mode, Night Hyperlapse, Single Take Photo, Vertical Panoramas, and custom filters. Samsung Galaxy S11 will be capable of capturing 8K@30fps video and will have support for 5x optical zoom.
At the back, you’ll find an L-shaped camera system, similar to what we saw on the leaked renders of the Galaxy A51 and Galaxy A71. The S11 is said to feature five sensors, three of which will be regular cameras, and one 3D ToF sensor. Unfortunately, information about the last sensor is not known at this moment.
Coming back to the design, you’ll find volume and power buttons on the right edge of the smartphone. On the bottom edge, there is one USB-C port, flanked by speakers on the right and a mic on the left. The smartphone measures 161.9 x 73.7 x 7.8mm (8.9mm including the rear camera bump), features a glass back, and a metal frame.
Samsung Galaxy S11 series is going to be released on February 18 next year.
via 91mobiles


---
layout: post
title: Best random IM ever
date: '2008-04-23T11:21:00.004-04:00'
author: Pat Hyatt
description: Random IMs lead to misunderstandings.
tags:
modified_time: '2008-04-23T12:00:27.129-04:00'
thumbnail: http://2.bp.blogspot.com/_K0T9JgGHK5g/SA9Uz-5ZweI/AAAAAAAAACE/j_mUMLFs-vc/s72-c/naked.jpg
---
11:21 AM Tuesday April 23
Random IM comes on my screen from a coworker at a previous gig. One who I really don't
talk to much anymore...
Any identifications have been removed to protect the guilty:
Edit: Image removed, it was lost..
Once that flew across my screen he was signed off
before I could even reply to lengthen this exchange...


--- title: Timeseries Data keywords: fastai sidebar: home_sidebar summary: "Basic functions to read timeseries files like `.arff` and `.ts` files." description: "Basic functions to read timeseries files like `.arff` and `.ts` files." ---
from nbdev.showdoc import *
from fastai2.data.external import *
def check_ext(fnames, ext):
if isinstance(fnames, list):
fnames = [fn if (fn.suffix!='') else f'{fn}.{ext}' for fn in fnames]
else:
fnames = fnames if (fnames.suffix!='') else f'{fnames}.{ext}'
path_data = Config().data
path_data
file_extract_at_filename
is used by default in unzip_data
to decompress the downloaded file in a folder that has the same name as the zip filename.
unzip_data
download and decompress the downloaded file in a folder and decompress it in a folder that has the same name as the zip filename
dsname = 'NATOPS' #'NATOPS', 'LSST', 'Wine', 'Epilepsy', 'HandMovementDirection'
path = unzip_data(URLs_TS.NATOPS)
path
path.ls()
fname_train = f'{dsname}_TRAIN.arff'
fname_test = f'{dsname}_TEST.arff'
fnames = [path/fname_train, path/fname_test]
fnames
data = TSData.from_arff(fnames)
data
print(data)
data.dsname, data.fnames, data.n_channels, data.sizes, data.x.shape, data.y.shape
test_eq(data.dsname, ['NATOPS_TRAIN', 'NATOPS_TEST'])
test_eq(data.n_channels, 24)
test_eq(data.sizes, ((360, 24, 51), (360,)))
test_eq(data.x.shape, (360, 24, 51))
test_eq(data.y.shape, (360,))
type(data.get_items()[1][0]), data.get_items()[1][0]
type(data.get_y()[1]), data.get_y()[1]
test_eq(data.get_y()[1], '3.0')
# idx = 4
# ts, title = train_x[idx], train_y[idx]
# show_timeseries(ts, title=title, chs=range(0,24,3))
# # show_timeseries(ts, title=title)
# show_timeseries(ts, title=title, chs=[2])
def load_from_tsfile_to_array(full_file_path_and_name, return_separate_X_and_y=True, replace_missing_vals_with='NaN'):
"""Loads data from a .ts file into a Pandas DataFrame.
Parameters
full_file_path_and_name: str
The full pathname of the .ts file to read.
return_separate_X_and_y: bool
true if X and Y values should be returned as separate Data Frames (X) and a numpy array (y), false otherwise.
This is only relevant for data that
replace_missing_vals_with: str
The value that missing values in the text file should be replaced with prior to parsing.

DataFrame
If not return_separate_X_and_y then a single DataFrame containing all time-series and (if relevant) a column "class_vals" the associated class values.
"""
# Initialize flags and variables used when parsing the file
metadata_started = False
data_started = False
has_problem_name_tag = False
has_timestamps_tag = False
has_univariate_tag = False
has_class_labels_tag = False
has_data_tag = False
previous_timestamp_was_int = None
previous_timestamp_was_timestamp = None
num_dimensions = None
is_first_case = True
instance_list = []
class_val_list = []
line_num = 0
# Parse the file
# print(full_file_path_and_name)
with open(full_file_path_and_name, 'r',encoding='utf-8') as file:
for line in file:
# Strip white space from start/end of line and change to lowercase for use below
line = line.strip().lower()
# Empty lines are valid at any point in a file
if line:
# Check if this line contains metadata
# Please note that even though metadata is stored in this function it is not currently published externally
if line.startswith("@problemname"):
# Check that the data has not started
if data_started:
raise TsFileParseException("metadata must come before data")
# Check that the associated value is valid
tokens = line.split(' ')
token_len = len(tokens)
if token_len == 1:
raise TsFileParseException("problemname tag requires an associated value")
problem_name = line[len("@problemname") + 1:]
has_problem_name_tag = True
metadata_started = True
elif line.startswith("@timestamps"):
# Check that the data has not started
if data_started:
raise TsFileParseException("metadata must come before data")
# Check that the associated value is valid
tokens = line.split(' ')
token_len = len(tokens)
if token_len != 2:
raise TsFileParseException("timestamps tag requires an associated Boolean value")
elif tokens[1] == "true":
timestamps = True
elif tokens[1] == "false":
timestamps = False
else:
raise TsFileParseException("invalid timestamps value")
has_timestamps_tag = True
metadata_started = True
elif line.startswith("@univariate"):
# Check that the data has not started
if data_started:
raise TsFileParseException("metadata must come before data")
# Check that the associated value is valid
tokens = line.split(' ')
token_len = len(tokens)
if token_len != 2:
raise TsFileParseException("univariate tag requires an associated Boolean value")
elif tokens[1] == "true":
univariate = True
elif tokens[1] == "false":
univariate = False
else:
raise TsFileParseException("invalid univariate value")
has_univariate_tag = True
metadata_started = True
elif line.startswith("@classlabel"):
# Check that the data has not started
if data_started:
raise TsFileParseException("metadata must come before data")
# Check that the associated value is valid
tokens = line.split(' ')
token_len = len(tokens)
if token_len == 1:
raise TsFileParseException("classlabel tag requires an associated Boolean value")
if tokens[1] == "true":
class_labels = True
elif tokens[1] == "false":
class_labels = False
else:
raise TsFileParseException("invalid classLabel value")
# Check if we have any associated class values
if token_len == 2 and class_labels:
raise TsFileParseException("if the classlabel tag is true then class values must be supplied")
has_class_labels_tag = True
class_label_list = [token.strip() for token in tokens[2:]]
metadata_started = True
# Check if this line contains the start of data
elif line.startswith("@data"):
if line != "@data":
raise TsFileParseException("data tag should not have an associated value")
if data_started and not metadata_started:
raise TsFileParseException("metadata must come before data")
else:
has_data_tag = True
data_started = True
# If the 'data tag has been found then metadata has been parsed and data can be loaded
elif data_started:
# Check that a full set of metadata has been provided
if (not has_problem_name_tag or not has_timestamps_tag or not has_univariate_tag
or not has_class_labels_tag or not has_data_tag):
raise TsFileParseException("a full set of metadata has not been provided before the data")
# Replace any missing values with the value specified
line = line.replace("?", replace_missing_vals_with)
# Check if we dealing with data that has timestamps
if timestamps:
# We're dealing with timestamps so cannot just split line on ':' as timestamps may contain one
has_another_value = False
has_another_dimension = False
timestamps_for_dimension = []
values_for_dimension = []
this_line_num_dimensions = 0
line_len = len(line)
char_num = 0
while char_num < line_len:
# Move through any spaces
while char_num < line_len and str.isspace(line[char_num]):
char_num += 1
# See if there is any more data to read in or if we should validate that read thus far
if char_num < line_len:
# See if we have an empty dimension (i.e. no values)
if line[char_num] == ":":
if len(instance_list) < (this_line_num_dimensions + 1):
instance_list.append([])
instance_list[this_line_num_dimensions].append(pd.Series())
this_line_num_dimensions += 1
has_another_value = False
has_another_dimension = True
timestamps_for_dimension = []
values_for_dimension = []
char_num += 1
else:
# Check if we have reached a class label
if line[char_num] != "(" and class_labels:
class_val = line[char_num:].strip()
if class_val not in class_label_list:
raise TsFileParseException("the class value '" + class_val + "' on line " +
str(line_num + 1) + " is not valid")
class_val_list.append(class_val)
char_num = line_len
has_another_value = False
has_another_dimension = False
timestamps_for_dimension = []
values_for_dimension = []
else:
# Read in the data contained within the next tuple
if line[char_num] != "(" and not class_labels:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " does not start with a '('")
char_num += 1
tuple_data = ""
while char_num < line_len and line[char_num] != ")":
tuple_data += line[char_num]
char_num += 1
if char_num >= line_len or line[char_num] != ")":
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " does not end with a ')'")
# Read in any spaces immediately after the current tuple
char_num += 1
while char_num < line_len and str.isspace(line[char_num]):
char_num += 1
# Check if there is another value or dimension to process after this tuple
if char_num >= line_len:
has_another_value = False
has_another_dimension = False
elif line[char_num] == ",":
has_another_value = True
has_another_dimension = False
elif line[char_num] == ":":
has_another_value = False
has_another_dimension = True
char_num += 1
# Get the numeric value for the tuple by reading from the end of the tuple data backwards to the last comma
last_comma_index = tuple_data.rfind(',')
if last_comma_index == -1:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " contains a tuple that has no comma inside of it")
try:
value = tuple_data[last_comma_index + 1:]
value = float(value)
except ValueError:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) +
" contains a tuple that does not have a valid numeric value")
# Check the type of timestamp that we have
timestamp = tuple_data[0: last_comma_index]
try:
timestamp = int(timestamp)
timestamp_is_int = True
timestamp_is_timestamp = False
except ValueError:
timestamp_is_int = False
if not timestamp_is_int:
try:
timestamp = timestamp.strip()
timestamp_is_timestamp = True
except ValueError:
timestamp_is_timestamp = False
# Make sure that the timestamps in the file (not just this dimension or case) are consistent
if not timestamp_is_timestamp and not timestamp_is_int:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " contains a tuple that has an invalid timestamp '" +
timestamp + "'")
if previous_timestamp_was_int is not None and previous_timestamp_was_int and \
not timestamp_is_int:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) +
" contains tuples where the timestamp format is inconsistent")
if previous_timestamp_was_timestamp is not None and previous_timestamp_was_timestamp and \
not timestamp_is_timestamp:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) +
" contains tuples where the timestamp format is inconsistent")
# Store the values
timestamps_for_dimension += [timestamp]
values_for_dimension += [value]
# If this was our first tuple then we store the type of timestamp we had
if previous_timestamp_was_timestamp is None and timestamp_is_timestamp:
previous_timestamp_was_timestamp = True
previous_timestamp_was_int = False
if previous_timestamp_was_int is None and timestamp_is_int:
previous_timestamp_was_timestamp = False
previous_timestamp_was_int = True
# See if we should add the data for this dimension
if not has_another_value:
if len(instance_list) < (this_line_num_dimensions + 1):
instance_list.append([])
if timestamp_is_timestamp:
timestamps_for_dimension = pd.DatetimeIndex(timestamps_for_dimension)
instance_list[this_line_num_dimensions].append(pd.Series(index=timestamps_for_dimension
, data=values_for_dimension))
this_line_num_dimensions += 1
timestamps_for_dimension = []
values_for_dimension = []
elif has_another_value:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " ends with a ',' that is not followed by another tuple")
elif has_another_dimension and class_labels:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " ends with a ':' while it should list a class value")
elif has_another_dimension and not class_labels:
if len(instance_list) < (this_line_num_dimensions + 1):
instance_list.append([])
instance_list[this_line_num_dimensions].append(pd.Series(dtype=np.float32))
this_line_num_dimensions += 1
num_dimensions = this_line_num_dimensions
# If this is the 1st line of data we have seen then note the dimensions
if not has_another_value and not has_another_dimension:
if num_dimensions is None:
num_dimensions = this_line_num_dimensions
if num_dimensions != this_line_num_dimensions:
raise TsFileParseException("line " + str(line_num + 1) +
" does not have the same number of dimensions as the previous line of data")
# Check that we are not expecting some more data, and if not, store that processed above
if has_another_value:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " ends with a ',' that is not followed by another tuple")
elif has_another_dimension and class_labels:
raise TsFileParseException("dimension " + str(this_line_num_dimensions + 1) +
" on line " + str(line_num + 1) + " ends with a ':' while it should list a class value")
elif has_another_dimension and not class_labels:
if len(instance_list) < (this_line_num_dimensions + 1):
instance_list.append([])
instance_list[this_line_num_dimensions].append(pd.Series())
this_line_num_dimensions += 1
num_dimensions = this_line_num_dimensions
# If this is the 1st line of data we have seen then note the dimensions
if not has_another_value and num_dimensions != this_line_num_dimensions:
raise TsFileParseException("line " + str(line_num + 1) +
" does not have the same number of dimensions as the previous line of data")
# Check if we should have class values, and if so that they are contained in those listed in the metadata
if class_labels and len(class_val_list) == 0:
raise TsFileParseException("the cases have no associated class values")
else:
dimensions = line.split(":")
# If first row then note the number of dimensions (that must be the same for all cases)
if is_first_case:
num_dimensions = len(dimensions)
if class_labels:
num_dimensions -= 1
for dim in range(0, num_dimensions):
instance_list.append([])
is_first_case = False
# See how many dimensions that the case whose data in represented in this line has
this_line_num_dimensions = len(dimensions)
if class_labels:
this_line_num_dimensions -= 1
# All dimensions should be included for all series, even if they are empty
if this_line_num_dimensions != num_dimensions:
raise TsFileParseException("inconsistent number of dimensions")
# Process the data for each dimension
for dim in range(0, num_dimensions):
dimension = dimensions[dim].strip()
if dimension:
# data_series = dimension.split(",")
# data_series = [float(i) for i in data_series]
# instance_list[dim].append(pd.Series(data_series))
# instance_list[dim].append(np.array(dimensions[dim].strip().split(','), dtype=np.float32))
instance_list[dim].append(np.array(dimensions[dim].split(','), dtype=np.float32))
# instance_list[dim].append(np.fromiter(dimensions[dim].strip().split(','), dtype=np.float32))
else:
# instance_list[dim].append(pd.Series())
instance_list[dim].append([])
if class_labels:
class_val_list.append(dimensions[num_dimensions].strip())
line_num += 1
# Check that the file was not empty
if line_num:
# Check that the file contained both metadata and data
if metadata_started and not (has_problem_name_tag and has_timestamps_tag and has_univariate_tag and
has_class_labels_tag and has_data_tag):
raise TsFileParseException("metadata incomplete")
elif metadata_started and not data_started:
raise TsFileParseException("file contained metadata but no data")
elif metadata_started and data_started and len(instance_list) == 0:
raise TsFileParseException("file contained metadata but no data")
# # Create a DataFrame from the data parsed above
# data = pd.DataFrame(dtype=np.float32)
# for dim in range(0, num_dimensions):
# data['dim_' + str(dim)] = instance_list[dim]
# # Check if we should return any associated class labels separately
# if class_labels:
# if return_separate_X_and_y:
# return data, np.asarray(class_val_list)
# else:
# data['class_vals'] = pd.Series(class_val_list)
# return data
# else:
# return data
# Create a numpy array
#instance_list has a shape of (dimensions, nb_samples, seq_lenght)
#for the NATOPS_Train.arff it would be (24, 180, 51)
#convert python list to numpy array and traspose the 2 first dimensions -> (180, 24, 51)
data_array = np.asarray(instance_list).transpose(1,0,2)
y = np.asarray(class_val_list)
return data_array, y
else:
raise TsFileParseException("empty file")
fname_train = path_data/f'{dsname}/{dsname}_TRAIN.ts'
fname_train
train_x_ts, train_y_ts = load_from_tsfile_to_array(fname_train)
train_x_ts.shape, train_y_ts.shape
train_x_ts[1].shape
train_x_ts[10][0][30]
_camel_re1 = re.compile('(.)([A-Z][a-z]+)')
_camel_re2 = re.compile('([a-z0-9])([A-Z])')
def camel2snake(name):
"Convert CamelCase to snake_case"
s1 = re.sub(_camel_re1, r'\1_\2', name)
return re.sub(_camel_re2, r'\1_\2', s1).lower()
def camel2capitalsnake(name):
return camel2snake(name).upper()
# s = 'ArticularyWordRecognition'
# s2 = camel2snake(s).upper()
# s2
# urls_ts = [f'{camel2capitalsnake(n)} = {n}.zip' for n in get_UCR_multivariate_list()]
# urls_ts
# urls_ts = [f'{camel2capitalsnake(n)} = {n}.zip' for n in get_UCR_univariate_list()]
# urls_ts
{% include image.html height="840" alt="" max-width="1440" file="https://github.com/ai-fast-track/timeseries/blob/master/images/blue-sea.jpg?raw=1" %}


A tiny OpenGL 3D engine library written in and for C++.
Dependencies
Building from source
This project is built using CMake
cd build
cmake \
-DBUILD_TESTS=ON \
-DBUILD_EXAMPLES=ON \
..
make
To run the tests, use:
Docs
You can view the docs here.
Examples
More examples are located in the examples/
directory.
#include <cat3d.hpp>
int main() {
namespace obj = cat3d::obj;
{ { cat3d::WIDTH, 800 },
{ cat3d::HEIGHT, 600 },
{ cat3d::TITLE, "spinning-cube" },
obj::camera* cam = root->
create<obj::camera>(glm::vec3(0, 2, -4), glm::vec3(0, 0, 0), 75.f);
obj::model* cube = root->
create<obj::model>(
"examples/cube.obj");
float dts = dt.as_seconds();
cube->transform().rotate(glm::vec3(1.f * dts, 0.2f * dts, 0));
});
return cat3d::run();
}


{% extends "templates/layouts/default-no-angular.html" %} {% block header_content %}
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Avenged Sevenfold is an American rock band from Huntington Beach, California. Formed in 1999, the group consists of vocalist M. Shadows, lead guitarist Synyster Gates, rhythm guitarist Zacky Vengeance, bassist Johnny Christ.
Avenged Sevenfold emerged with a metalcore sound on their debut Sounding the Seventh Trumpet, which included primarily screamed vocals. The band changed their style on their third album and first major label release, City of Evil, which featured more of a hard rockstyle. The band continued to explore new sounds with their self-titled release and enjoyed continued mainstream success before their drummer, James "The Rev" Sullivan, died of heart disease and combined effect of drugs and alcohol in his body in 2009. Despite his death, the band continued on with help of now-former Dream Theater drummer Mike Portnoy and released and toured in support of their fifth album Nightmare in 2010 which debuted on the top spot of the Billboard 200, a first for the band.
To date, Avenged Sevenfold has released five studio albums, one live album/compilation/DVD, and fifteen singles. The band themselves have received much credit for their worldwide mainstream success and were most notably proclaimed as one of the leaders and key bands in the New Wave of American Heavy Metal and were featured as second place on Ultimate Guitar's Top Ten Bands of the Decade.


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2018-03-31 Steem Witness Forum Record: @andrarchy, @roelandp, @lukestokes, @aggroed, @drakos discuss the Steem ecosystem witness


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