GONE WITH THE WIND **** (G)
Rhett Butler: Clark Gable Scarlett O'Hara: Vivien Leigh Melanie Hamilton: Olivia de Havilland Ashley Wilkes: Leslie Howard
Directed by Victor Fleming. Written by Sidney Howard. Based on the novel by Margaret Mitchell. Running time: 222 minutes. Rated G (although does contain war-time violence, and sexual references).
BY AARON MICHAELS
Gone with the Wind is one of the best films ever made. I have not met a intelligent person who hasn't liked this movie. Ted Turner has decided to remaster this classic for it's 60th anniversary. He cleaned up the picture and sound so that a new generation of people can enjoy this perfect movie.
Gone with the Wind is a soap-operaish epic taking place around the time of the Civil War with the classic character Scarlett O'Hara (Vivien Leigh). Scarlett is the most sought after woman in all Georgia and she teases men and makes them do what she wants. She was born into a family that owns a large cotton plantation called Tara. Her father Gerald O'Hara (Thomas Mitchell) expects his daughter to continue work on the plantation after he's passed. This is not Scarlett's intent and she would rather woo a rich beau.
Scarlett is shocked to find that a man, Ashley Wilkes (Leslie Howard), is not completely in love with her. He is instead engaged to be married the kind and gentle Melanie Hamilition (Olivia de Havilland). Scarlett loves him, at least she thinks she loves him. She sets out to make Ashley in love with her.
At a town party a rich playboy named Rhett Butler (Clark Gable) makes his way into town for a political meeting having to do with the possibility of war. Scarlett is interested in this poker playing handsome man but still wants Ashley. Rhett finds out about her obsession and lightens the movie with some humor about how she acts so whiny about the situation.
When confronted by Scarlett, Ashley says he does love her but won't leave Melainie for her. The Civil War breaks and Scarlett is shocked by how Ashley wants to leave.
This is the poorest plot to talk about. The almost 4 hour movie is so long and complex that it would take me about 15 paragraphs to just start the review. I only usually write 2-4 paragraphs for plot to save room for the review. This is the perfect movie to save room for.
This movie is one of the longest films ever made. It's beautiful, full color images entranced audiences in 1939 and still do today. In inflated terms, Gone with the Wind is the highest grossing film of all time by a long shot. It makes much more than Titanic. Compare the $0.40 it would cost to see Gone with the $6.50 who would pay to see Titanic and you will know why it beats the so-called largest grossing film of all time.
After 60 years the film still stays remarkable. The vast shots of war victims and of the burning of Atlanta are some of the best ever and don't show age. Some of the blue screened shots, such as one with Scarlett in Rhett's carriage, do show their age but it's amazing the special effects still look great after 60 years. Let's see how Jurassic Park fares around 2055.
The acting in this film is the just plain perfect. Leigh is wonderfully cast as Scarlett and plays the whiny women great. Gable is the standout of the show though in this Oscar-snubbed performance. He shows in the last hour some of the best acting that has ever been attempted by an actor.
Director Victor Fleming has created one of the most perfect films ever made. It still stands as a wonderful production of romance, action, and self righteousness.
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


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Hiring Cleaning Crew
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RESPONSIBILITIES:
- Assures daily/weekly/monthly cleaning of all required and assigned areas are complete
- Advises cleaning supervisor of workplace issues/ concerns regarding employees and equipment
- Additional duties may be assigned as needed and requested by the supervisor
- Ensuring the highest level of cleanliness quality and safety
- Special work projects as requested
- Cover open shifts
Essential Functions
- Inspect work performed to ensure quality standards are maintained.
- Inspect equipment to ensure it is in proper working condition.
- Monitor safety practices to ensure policies/procedures are followed.
- Submit work request the manager for items found in need of repair.
Skills:
- Work well with others and follow the supervisor instructions
- Exhibit professionalism and courteousness always
- Follow the IAR policies
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Hoya Binary Releases
This is a repository of the released Hoya artifacts
Hoya is a Hadoop YARN application that can dynamically deploy
Apache HBase and Apache Accumulo Column-table databases to a Hadoop 2.2+
cluster.
For more details, please consult
the source repository
Releases


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{% include 'includes/_messages.html' %}
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Do it declerative: takeUntil(...)
What is "takeUntil"?
- RxJs Opereator - Official Docs: takeUntil(notifier: Observable<b>) — Emits the values
emitted by the source Observable until a notifier Observable emits a value.
Demo: clean up - takeUntil
Summary
- takeUntil acts after given observable is fired and will unsubsribe from the observable
- The "unsubscribe" observable must still be called in the OnDestroy block
Summary - (Dis-)advantages
- (+) Declerative solution
- (+) Does let the observable "complete" itself
- (-) Call on ".next() + .complete()" in OnDestroy can easily be forgotten
- (-) takeUntil(...) must come last on the setup or else you will get side effects


You might not have a config file, and in the index file's getConfig() method just return there the json configuration object.
This is just to separate the config from the functionality!
browsable
indicates whether this module is to be shown in the admin modules list
pointed
indicates whether if the content of this module can be linked to a pointer node
entities
entity type injections for the data in the "nodes" collection
entities: [{
name: 'item'
}, {
name: 'folder',
allowed: ['folder', 'item']
}]
roles
custom roles that might be needed by the module
roles: [{
name: 'module-role'
}, {
name: 'module-super-role',
inherits: ['module-role']
}]
sections
custom sections that are used by the module's pages, along with their role access lists
sections: [{
name: 'module-section',
roles: ['module-role']
}, {
name: 'module-super-section',
roles: ['module-super-role']
}]
collections
data collections along with their restrictions, events and schema validations
name
the name identifier of the collection
schema
the validation schema of the collection
{
"type": "object",
"properties": {
"timestamp": {
"type": "number",
"required": true
},
"user": {
"type": "string",
"required": true
},
"action": {
"type": "string",
"required": true,
"enum": ["create", "read", "update", "delete"]
},
"collection": {
"type": "string",
"required": true
}
}
}
permissions
the role permissions for the collection (if false, no permissions are processed)
[{
"role": "public",
"crud": ["R"]
}, {
"role": "admin",
"crud": ["C", "R", "U", "D"]
}]
logging
whether the crud actions on the collection should be logged or not
users
whether if the collection is a users collection
getEvents()
returns an object with the collection event file data
getEvents: function () {
return {
validate: fs.readFileSync(__dirname + "/collections/languages/events/validate.js", "utf8"),
get: fs.readFileSync(__dirname + "/collections/languages/events/get.js", "utf8"),
post: fs.readFileSync(__dirname + "/collections/languages/events/post.js", "utf8"),
put: fs.readFileSync(__dirname + "/collections/languages/events/put.js", "utf8"),
delete: fs.readFileSync(__dirname + "/collections/languages/events/delete.js", "utf8")
}
}
fileGroups
file groups for the file manager
fileGroups: ['users', 'stores']
images
custom image type cropping and sizing specifications
images: [{
name: 'thumb',
processors: [{
type: 'crop',
options: {
x: 0,
y: 0,
width: 60,
height: 60
}
}, {
type: 'fit',
options: {
width: 60,
height: 60
}
}, {
type: 'stretch',
options: {
width: 60,
height: 60
}
}]
}]
scripts
the script bundles and whether they are processed and minified or not
scripts: [{
name: 'lib',
items: [
'/js/lib/angular.js',
'/js/lib/jquery.js',
'/js/lib/underscore.js',
'/js/lib/underscore.string.js'
]
}, {
name: 'app',
items: [
'/jsnbt.js',
'/js/app/main.js',
'/js/app/controllers/AppController.js',
'/js/app/providers/$context.js',
'/js/app/providers/$data.js',
'/js/app/providers/$image.js',
'/js/app/providers/$jsnbt.js',
'/js/app/providers/$url.js',
'/js/app/providers/$text.js',
'/js/init.js'
]
}, {
name: 'gmaps',
process: false,
items: [
'http://maps.google.com/maps/api/js?sensor=true'
]
}]
styles
the style bundles and whether they are processed and minified or not
styles: [{
name: 'lib',
items: [
'/css/_.less'
]
}, {
name: 'app',
items: [
'/css/style.less'
]
}, {
name: 'inline',
process: false,
items: [
]
}]
lists
custom data lists along with their role permissions
lists: [{
id: 'sample1',
name: 'Sample 01',
form: 'tmpl/customModule/sample1.html',
localized: true,
permissions: [{
role: 'module-role',
crud: ['R']
}, {
role: 'module-super-role',
crud: ['C', 'R', 'U', 'D']
}]
}]


Chapter 2 Reference
2.1 Scope of this course
When dealing with longitudinal data, there are two kinds of analyses that can be performed.
“Time series” analyses generally deal with one variable. The aim is to then predict the future only using the previous observations. A common example would be to predict tomorrow’s temperature, using today’s and yesterday’s temperature as exposures. We will not be focusing on these kinds of analyses in this course.
“Regression analyses” are very similar to ordinary regressions that you have been working with for many years. The only difference is that they have more advanced data structures that your current methods cannot handle. For example, if you want to see how the number of tuberculosis patients (outcome) is affected by the number of immigrants to Norway (exposure) over a 20 year period, then the number of patients in each year might be associated with each other, which might break assumptions of the regression models that you normally use (independent residuals). To account for the advanced structure of the data (correlation between different years) we will use more advanced regression techniques. This is what we will be focusing on in this course.
To recap: this course will let you run “normal regressions” in situations where the data structure would ordinarily prohibit you from running regression models. These situations mostly pertain to clusters of correlated data.
2.2 Introduction
There are two important definitions in this course:
- Panel data
- Autocorrelation
Panel data is a set of data with measurements repeated at equally spaced points. For example, weight data recorded every day, or every week, or every year would be considered panel data. A person who records three weight measurements randomly in 2018 would not be considered panel data.
When you have panel data, autocorrelation is the correlation between subsequent observations. For example, if you have daily observations, then the 1 day autocorrelation is the correlation between observations 1 day apart, and likewise the 2 day autocorrelation is the correlation between observations 2 days apart.
In this course we will consider 5 scenarios where we have multiple observations for each geographical area:
- Panel data: One geographical area, no autocorrelation
- Panel data: One geographical area, with autocorrelation
- Not panel data: Multiple geographical areas
- Panel data: Multiple geographical areas, no autocorrelation
- Panel data: Multiple geographical areas, with autocorrelation
Note, the following scenario can be covered by standard regression models:
- Multiple geographical areas, one time point/observation per geographical area
2.3 Method summary
2.3.1 Panel data: One geographical area, no autocorrelation
// STATA CODE
glm y yearminus2000 dailyrainfall cos365 sin365, family(poisson)
# R CODE
fit1 <- glm(y~yearMinus2000 + dailyrainfall + sin365 + cos365, data=d, family=poisson())
residuals(fit1, type = "response")
2.3.2 Panel data: One geographical area, with autocorrelation
// STATA CODE
glm y yearminus2000 cos365 sin365, family(poisson) vce(robust)
# R CODE
fit <- MASS::glmmPQL(y~yearMinus2000+sin365 + cos365, random = ~ 1 | ID,
family = poisson, data = d,
correlation=nlme::corAR1(form=~dayOfSeries|ID))
r <- residuals(fit1, type = "normalized")
pacf(r)
2.3.3 Not panel data: Multiple geographical areas
// STATA CODE
meglm y x yearMinus2000 || fylke:, family(poisson)
# R CODE
fit <- lme4::glmer(y~x + yearMinus2000 + (1|fylke),data=d,family=poisson())
2.3.4 Panel data: Multiple geographical areas, no autocorrelation
// STATA CODE
meglm y yearminus2000 cos365 sin365 || fylke:, family(poisson)
# R CODE
fit <- MASS::glmmPQL(y~yearMinus2000+sin365 + cos365, random = ~ 1 | fylke,
family = poisson, data = d)
r <- residuals(fit1, type = "normalized")
pacf(r)
2.3.5 Panel data: Multiple geographical areas, with autocorrelation
// STATA CODE
meglm y yearminus2000 cos365 sin365 || fylke:, family(poisson) vce(robust)
# R CODE
fit <- MASS::glmmPQL(y~yearMinus2000+sin365 + cos365, random = ~ 1 | fylke,
family = poisson, data = d,
correlation=nlme::corAR1(form=~dayOfSeries|fylke))
r <- residuals(fit1, type = "normalized")
pacf(r)
2.4 Identifying your scenario
2.4.1 Step 1: Do you have panel data?
This step should be fairly simple. If your data has equally spaced time intervals between them, you have panel data.
2.4.2 Step 2: Do you have multiple geographical areas?
Again, fairly simple, just look at your data.
2.4.3 Step 3: Do you have autocorrelation?
Firstly, you must run a model pretending that you do not have autocorrelation.
You then inspect the residuals from the model and see if autocorrelation exists. This is done with two statistical procedures: pacf
(for autoregressive models
, the most common type of autocorrelation), and acf
(for moving average models
, a less common type of autocorrelation).
2.4.4 AR(1) data
y <- round(as.numeric(arima.sim(model=list("ar"=c(0.5)), rand.gen = rnorm, n=1000)))
With autoregressive
data, a pacf
plot contains a number of sharp significant lines, indicating how many subsequent observations have autocorrelation. i.e. if one line is significant, it means that each observation is only correlated with its preceeding observation (AR(1)
). If two lines are significant, it means that each observation is correlated with its two preceeding observations (AR(2)
). The following plot represents AR(1)
data.
pacf(y)
With autoregressive
data, an acf
plot contains a number of decreasing lines. The following acf
plot represents some sort of AR
data. Note that the acf
plot displays lag 0
(which is pointless and can be ignored), while the pacf
plot does not.
acf(y)
2.4.5 AR(2) data
y <- round(as.numeric(arima.sim(model=list("ar"=c(0.5,0.4)), rand.gen = rnorm, n=1000)))
The following pacf
plot represents AR(2)
data. This means that each observation is correlated with its two preceeding observations (AR(2)
).
pacf(y)
The following acf
plot represents some sort of AR
data:
acf(y)
2.4.6 MA(1) data
y <- round(as.numeric(arima.sim(model=list("ma"=c(0.9)), rand.gen = rnorm, n=1000)))
With moving average
data, a pacf
plot contains a number of decreasing lines. The following pacf
plot represents some sort of MA
data.:
pacf(y)
With moving average
data, an acf
plot contains a number of sharp significant lines, demarking how many subsequent observations have autocorrelation. i.e. if one line is significant, it means that each observation is only correlated with its preceeding observation. If two lines are significant, it means that each observation is correlated with its two preceeding observations. The following plot represents MA(1)
data. Note that the acf
plot displays lag 0
(which is pointless and can be ignored), while the pacf
plot does not.
acf(y)
2.4.7 MA(2) data
y <- round(as.numeric(arima.sim(model=list("ma"=c(0.9,0.6)), rand.gen = rnorm, n=1000)))
The following pacf
plot represents some sort of MA
data.
pacf(y)
The following acf
plot represents MA(2)
data. This means that each observation is correlated with its two preceeding observations.
acf(y)


{% include "layouts/homepageNav.html" %}
Add New Listing
Apartment
House
Condo
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Q: Why Linux.Pizza?
 The same applies to Linux
Q: What is the purpose of Linux.Pizza?
A: I started this project with an entirely different idea in mind, but I soon realized how impossible the idea was for me so I started just setting up different services free for people to use instead.
Q: Why do you do this?
A: I couldn't first really find anything that was similar to it (I later found disroot.org with a similar approach) and the current tools out there did not offer the user that control they deserve or was hosted on different plattforms or providers. I wanted to make it easier for users to find useful tools that they can use and that respects the users privacy and freedom.
Q: Do you gather any data about your users?
A: I am not interested in any data, I just felt the need myself for those tools and other people might aswell use them too free of charge.
Q: Are you going to add more tools/services in the future?
A: Yes! Please let me know if you find anything useful!
Q: How do I contact you?
A: Feel free to hook me up on Mastodon or email. Or if you want to send a more urgent and important message: 0x8B35B3C894B964DD.
Q: Who pays for all this?
A: I do, because I want give something back to the community and not just leech from it


Emacs Berlin Beginners Curriculum
Table of Contents
1 Installation
How to install Emacs depends on your operating system. Make sure you install "GNU Emacs", and not an alternative version like "XEmacs" or "Aquamacs".
1.1 Windows
Windows versions of GNU Emacs are distributed as zip-files, which can be found
on gnu.org ftp mirrors. Find the zip file with the highest version number, at
time of writing this is emacs-24.5-bin-i686-mingw32.zip
, and download it.
Create a directory where you want to put Emacs, for example C:\Program
Files\Emacs
and unpack the zip file there.
The runemacs.exe
program in the bin
directory will start Emacs. The
addpm.exe
program will add Emacs to the start menu.
1.2 OS X
OS X already comes with a version of Emacs installed, but it's very old (Emacs 22), and it doesn't have GUI support, so it only works inside a terminal. You want to avoid using this version.
If you have Homebrew available then that is the most straightforward option.
$ brew update $ brew install emacs --with-cocoa $ brew linkapps emacs
Alternatively you can download a .dmg
at emacsformacosx.com.
 Emacs Redux has some more tips on setting up Emacs on OS X.
1.3 Linux
Your package manager should have ready-made packages available. If you have a
graphical package manager look for an "emacs" package, or install the package
from the command line with apt-get
or yum
.
2 First steps
2.1 Hello, Emacs
If you've managed to install and start Emacs, you should see a screen that looks like this,
This screen isn't of great interest to us, and in fact we will disable it soon. The only thing for us to do here is find the Emacs version (look for where it says "This is GNU Emacs …"). Verify that you have version 24.5 or later.
Now you can exit this screen by pressing `q`, and you should now find yourself
in the *scratch*
buffer.
Try typing this line of code
(dotimes (x 10) (insert "\nHello Emacs!"))
Now place the cursor at the end of the line, so behind the last closing
parenthesis. Press and hold the Ctrl
key, and with Ctrl
pressed type x
e
.
Congratulations! You just wrote and executed your first piece of Emacs Lisp code.
2.2 A word about key combinations
2.2.1 The Control Key
Emacs makes heavy use of key combinations like "ctrl + g" or "alt + x". In the manual and other documentation key combinations are written using a shorthand notation. For example,
C-x
- hold
Ctrl
and typex
C-x C-e
- keep
Ctrl
pressed while typingx
e
C-x e
- press
Ctrl
andx
together, let go ofCtrl
, and presse
2.2.2 The Meta (Alt) Key
Besides the Ctrl
key, Emacs makes heavy use of the Meta
key. This is kind of
sad, because modern keyboards no longer have a Meta
key. Instead the "Alt" key
is typically used as "Meta". Some Mac users prefer to use Cmd/⌘
as their
Meta
key. Depending on where you got your Emacs from it might even be using
"Cmd/⌘" already.
The Meta
key (Alt or Cmd/⌘) is abbreviated with M-
.
Here are some key combinations
M-%
- search and replace
M->
- go to the end of the buffer
M-x emacs-version
- check the version of your Emacs
This last one means: press Alt
and x
together, then type emacs-version
,
then press enter. emacs-version
is just one of money Emacs command that you
can invoke by typing M-x
and then the name of the command.
(You don't need to memorize these key combinations for now.)
2.3 Survival Emacs
From here on it gets real, you should try to practice the commands that follow until they are committed to memory. It's a good idea to write these on a small piece of paper or index card. Keep it close to your computer as a reference.
To exit Emacs, type C-x C-c
.
You can quit a partially entered command, type C-g
.
To close informational "windows" like an error message or help information, type q
Let me repeat that
C-x C-c |
Exit Emacs |
C-g |
Quit partially typed command |
q |
Close error message |
2.4 Introduction to editing
Emacs predates the modern terminology of copy/cut/paste.
The command to "copy" is called kill-ring-save
, since it adds a piece of text
to the kill ring, without deleting it from the buffer.
C-y
/ yank
inserts at the current cursor position, which in Emacs
terminology is called point
.
| Key | Emacs command | |
|---|---|---|
C-y |
Paste | yank |
C-k |
Cut until the end of the line | kill |
C-SPC |
Start selecting text | set-mark-comand |
M-w |
Copy selected text | kill-ring-save |
C-w |
Cut selected text | kill-region |
2.5 Visiting files
| Key | Emacs command | |
|---|---|---|
C-x C-f |
Open File | find-file |
C-x C-s |
Save File | save-buffer |
C-x s |
Save All | save-some-buffers |
C-x k |
Close File | kill-buffer |
2.6 Switching buffers
| Key | Emacs command | |
|---|---|---|
C-x C-b |
Get a list of all open files | list-buffers |
C-x b |
Switch to another open file | switch-to-buffer |
2.7 Getting help
| Key | Emacs command | |
|---|---|---|
C-h f |
See the docstring for a function | describe-function |
C-h k |
Find which command a key is bound to | describe-key |
C-h i |
Open the Emacs manual (info pages) | info |
C-h m |
See documentation of the current major and minor mode | describe-mode |
2.8 Working with windows
| Key | Emacs command | |
|---|---|---|
C-x 2 |
Split vertically | split-window-below |
C-x 3 |
Split horizontally | split-window-right |
C-x o |
Go to next window | other-window |
C-x 1 |
Maximize window (close all others) | delete-other-windows |
C-x 0 |
Minimize window (close currentk) | delete-window |
3 First steps in Elisp
3.1 evaluating forms
You already used the command `eval-last-sexp`, bound to `C-x C-e`, which
evaluates the s-expression preceding point
(the cursor position).
Another command for evaluating is `C-M-x`, which evaluates the outermost form.
3.2 values, variables, functions, setq
TODO
4 create first .emacs/init.el
4.1 A blueprint to get started
There are many ways to organize the configuration of your Emacs. We'll give you a blueprint so you have a structure that you can fill in yourself as time goes on.
Most of the extra functionality will be installed through packages. These can be installed from multiple places, we'll set things up to download packages from the two main "package repositories", GNU ELPA and MELPA.
A package may require some extra setup or configuration, such as customizing
variables or creating key bindings. To keep that all in one place we'll use a
command called use-package
, which is itself installed as… a package.
Package-ception!
;; Install packages from these sources ;; - GNU ELPA: The official GNU package repository, relatively small ;; - MELPA: The main community-run package archive (setq package-archives '(("gnu" . "https://elpa.gnu.org/packages/") ("melpa" . "https://melpa.org/packages/"))) (package-initialize) ;; Download a list of available packages if we don't have it already (unless (file-exists-p "~/.emacs.d/elpa/archives/melpa") (package-refresh-contents)) ;; The `use-package' package makes it easy to install and configure packages (package-install 'use-package) ;; For example, (use-package multiple-cursors ;; install the package if it isn't already :ensure t ;; configure key bindings :bind (("C-S-c C-S-c" . mc/edit-lines) ("C->" . mc/mark-next-like-this) ("C-<" . mc/mark-previous-like-this) ("C-c C-<" . mc/mark-all-like-this)))
4.2 major/minor modes
4.3 get to a "good enough" initial set up
4.4 Language specific sections
For each language that you commonly program in, you should at least install a "major mode". This will provide syntax highlighting and other language-specific functionality. What follows are some example configs to get you started. Just copy over the ones that are relevant to you.
4.4.1 Ruby
There is a Ruby major mode already installed with Emacs, all you need to do is enable it
(use-package ruby-mode)
Packages you could look into in the future include
enh-ruby-mode
robe
chruby
rspec-mode
inf-ruby-mode
4.4.2 Javascript
Emacs comes bundled with a js-mode
, however you might prefer js2-mode
.
(use-package js2-mode :ensure t)
4.4.3 CSS
Emacs comes bundled with CSS mode. A nice extra is rainbow-mode
, which shows
the color of color codes.
(use-package css-mode :config (use-package rainbow-mode :ensure t :config (add-hook 'css-mode-hook 'rainbow-mode)))
Example:
body { color: #1e1e1e; background: #3e77ff; }
4.4.4 Clojure
(use-package clojure-mode :ensure t :config (add-hook 'clojure-mode-hook 'cider-mode) ;;;; Optional: add structural editing ;; ;; (use-package paredit ;; :ensure t ;; :config ;; (add-hook 'clojure-mode-hook 'paredit-mode)) ;;; Give matching parentheses matching colors (use-package rainbow-delimiters :ensure t :config (add-hook 'clojure-mode-hook 'rainbow-delimiters-mode)) ;;; Integrated REPL environment (use-package cider :ensure t :config (use-package cider-eval-sexp-fu :ensure t) (use-package clj-refactor :ensure t :config (add-hook 'clojure-mode-hook 'clj-refactor-mode) (cljr-add-keybindings-with-prefix "C-c C-m"))))
4.4.5 HTML templates
Web Mode does a good job of letting you edit various HTML template files. It knows about several popular template syntaxes, so it can provide smart code highlighting.
Here's an example setup, we configure the file extensions that will use
web-mode
, and set the indentation to two spaces.
Web mode provides a bunch of handy keyboard shortcuts, check the web mode website for more information.
(use-package web-mode :ensure t :config (add-to-list 'auto-mode-alist '("\\.erb$" . web-mode)) (add-to-list 'auto-mode-alist '("\\.hbs$" . web-mode)) (add-to-list 'auto-mode-alist '("\\.tmpl$" . web-mode)) (add-to-list 'auto-mode-alist '("\\.html$" . web-mode)) (setq web-mode-markup-indent-offset 2) (setq web-mode-code-indent-offset 2))
5 References
5.1 Emacsish glossary
Emacs is over 30 years old. It was developed in a time when computers took half a room, and before the rise of GUIs and desktop systems. A lot of its terminology also stems from this time, making it sound like Emacsers speak a different language.
For your convenience we have compiled a simple phrase book translation Emacsish to English.
| Emacsish | English |
|---|---|
| point | position of the cursor |
| mark | end of the selected text |
| region | selection |
| frame | window |
| window | split |
| yank | paste |
| kill | cut |
| kill ring | clipboard |
| META key | Alt key |


About Me
You will be happy to know me at my Best!
Kartik Goel
Inspiring Writer and Aspiring Web Designer
Hey There! My name is Kartik Goel.I am currently a student
of Delhi Public School,Haridwar studying in standard XI.
I am much addicted to technology,programming and
a cup of coffee with it!! Hehe,Jokes apart, I like to design
web pages in my free time, and beside this I also write poems.
I have small collection of them and you can see it on my Blog .
I also love Astro-Physics, Hacking and yea I have lot of interest in AI.
I am currently working on Android Development as a part of my
hobby.I am on various social networking sites, so you can Contact me there.


This is a competence-based self-assessment tool for measuring the readiness of start-ups
innovators to internationalize their business models in an intergenerational setting.
WHY
Three main reasons why it is important for start-up innovators to measure their readiness in the
context, starting with the opportunities and challenges of technology in the digital age, as
they seek collaborative partners and expand their business models in other countries. Second,
various barriers that emerge for intergenerational start-up innovators in the global
environment. Third, the dynamic skills that evolve over time and context, as well as the
differences between the mindset of employees and entrepreneurs.
HOW
"We complemented an intensive, structured literature review on different topics with a Delphi
study involving experts from academia and industry coming from different countries to create a
competence-based tool for assessing the innovation readiness of global start-ups in
intergenerational setting."


--- active_crumb: SQL Model Generator layout: documentation id: sql_model_gen fa_icon: fa-tools ---
When using NLPCraft to develop natural language interface to the existing SQL RDBMS one of the routine tasks is to develop a data model that mirrors the SQL schema for the given database. Doing it manually can be time consuming and error prone.
SQL model generator automates this task. This is a Java-based utility that takes JDBC configuration, reads database schema using it and creates initial JSON or YAML stub for the data model. This stub then can be further extended and modified.
This utility can be run in several ways:
After the data model stub is generated:
SQL model generator comes with a several utility classes that can be used to programmatically explore generated data model, its elements and their metadata. You should start with the following builders to learn more about these utility classes:
SQL model generator is used by SQL Model example. This example comes with two YAML models:
sql_model_init.yaml
- original generated model straight out of the SQL model generator.sql_model.yaml
- modified and updated model ultimately used by the example.It is recommended to run a diff between these two files to see what was actually changed and how.


#include <log.h>
Public Member Functions | |
| Log (const Char *name, Bool flush_=True) | |
| Constructor. | |
| ~Log () | |
| Destructor. | |
| void | Erase () |
| Erases log file. | |
| void | Write (const Char *str) |
| Writes a string to the log file. | |
| Log & | operator<< (const Char *str) |
| Equal to Write( str );. | |
| Log & | operator<< (const string &str) |
| Equal to Write( str.c_str() );. | |
| void | WriteHexDump (const void *buffer, Int size) |
| Dumps memory block content. | |
| Int | GetSize () |
| Get current log file size. | |
| void | Flush () |
| Flushes log file write buffers. |
Provides support for log files. Files are placed intor application directory.
|
|
Constructor.
|
|
|
Writes a string to the log file.
|
|
|
Dumps memory block content.
|


---
layout: post
title: Tomcat 7 on Gentoo cannot find Vertica JDBC Driver
categories: []
tags: [Linux,Gentoo,Tomcat,Scala,Vertica]
status: publish
type: post
published: true
comments: true
meta:
_edit_last: '1'
---
I've been working on some stuff related to Clojure,Scala and HP Vertica for work. I ran into the problem where my SBT+Jetty
dev server worked happily, but when packaged as a WAR and deployed to a Tomcat 7 container my webapp wouldnt come up.
When deploying my app, I copied the JDBC driver to $CATALINA_HOME/lib which is the usual location to put JDBC drivers, as this version of Tomcat AFAIK does not read runtime Jars from WEB-INF/lib.
The error message I got was:
{% highlight bash %}
Message: java.lang.NullPointerException: Looking for Connection Identifier ConnectionIdentifier(lift) but failed to find either a JNDI data source with the name lift or a lift connection manager with the correct name
...
{% endhighlight %}
I'll start with a disclaimer that I am not much of a Gentoo guru, but it is what it is. Searching in the catalina logs, I found:
{% highlight bash %}
...
Caused by: java.lang.ClassNotFoundException: com.vertica.jdbc.Driver
...
WARNING: Failed to register in JMX: javax.naming.NamingException: com.vertica.jdbc.Driver
...
{% endhighlight %}
After being confused about why Tomcat was not finding my Jar, I read /etc/init.d/tomcat-7-main which lead me to /usr/share/tomcat-7/package.env. I didn't realize but it seems individual Jars are being
specified in this file. I appended my Vertica Jar, and it started working:
{% highlight bash %}
CLASSPATH="...other stuff...:/usr/share/tomcat-7/lib/vertica-jdbc-7.0.1-0.jar"
{% endhighlight %}


This is tool to create feature matrices for words. This is a useful for defining the behaviors of words either semantically or syntactically.
View the Project on GitHub SpencerWBarnes/Linguistic-Feature-Matrix-Generator
This project is maintained by SpencerWBarnes
Hosted on GitHub Pages — Theme by orderedlist
For Syntax Tree Generators, checkout these links
[
and ]
to start or end a matrix bracket
(
and )
to start or stop subscripts
not
followed by a space to place: ¬
empty
followed by a space to place: ∅
phi
followed by a space to place: φ
{
and }
to start or end braces
<
and >
to start or end corner brackets
Enter or ;
to go down a line
,
to separate words in a matrix


Pro_Pack : r9Data¶
ProPack r9Data object is a custom dict handler for Python that keeps sync with a file version of the data. This is how all the settings files in ProPack are maintained. It’s also a fully dot completable dict method
>>> # import statement for the module via the r9pro decompiler
>>> from Red9.pro_pack import r9pro
>>> r9pro.r9import('r9data')
>>> import r9data
Optmizer module for dealing with the health of a scene
Main Classes
R9dict ([value, path, write, ID]) |
|
-
class
R9dict
(value=None, path=None, write=True, ID=None)¶ Bases:
dict
Parameters: - value – expects a {} to be dotdictify
- path – location to a JSON file to be dotdictify and interactively store value changes
-
<<<<<<< HEAD
marker
= <object object at 0x0000000003F1AC60>¶
=======
marker
= <object object at 0x0000000003E0BC60>¶ >>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e-
dict_to_r9dict
(data, r9dict)¶
-
getID
()¶
-
setID
(ID=None)¶
-
getrootdata
()¶
-
writable
¶
-
set_write_state
(value)¶
-
filepath
¶ Returns: the self.r9filepath attr from the root of the dictionary, regardless of the dept of the dictionary key from where it is call if not self.r9filepath return None
-
set_filepath
(filepath)¶ inset filepat in self.__dict[‘filepath’]__ :param filepath: string: file path
-
cd
()¶ Returns: if self.r9filepath return the name of self.r9filepath current directory else None
-
write
(update=True)¶ write value changes if a path has been declare on creation
-
ensurekeys
(keys)¶ ensures that given list of keys exist in the dictionary, if files already exist it will preserve original values if not it will assign None value
Parameters: keys – list of key names Returns: None
-
deletefile
()¶ Delete file specify in dict.r9filepath ensure :return: bool: True if file has been deleted
-
clear
()¶
-
pop
(key)¶


VERY BAD THINGS RATING: 7.5 / 10 --> Re-watchable
For more reviews and trivia, go to http://surf.to/joblo
Actor Peter Berg quietly tucks his thespian slippers under his bed for a little while, and slips into a new role as writer and director of this extremely black comedy starring everybody's favourite Jack Nicholson-wannabee, Christian Slater, and the wonderfully cheery Cameron Diaz.
PLOT: Kyle and his friends go to Las Vegas for his bachelor party. They drink like fish, snort a lot of cocaine and hire a hooker for some fun. When the prostitute suddenly kicks the bucket, the boys have to resort to plenty of sinful shenanigans to get out of their dilemma. One cover-up leads to another, and all of a sudden, our friends are caught in a downwards spiral of all things moral. Meanwhile, Kyle's wife Laura is much more concerned with her wedding going off without a hitch, and the guests having the padded chairs which she requested.
CRITIQUE: Deeply disturbing, violently graphic, hilarious romp that chews into every sick, twisted taboo that you'd ever think about, then goes one step further, and then another step...and then one too many. This film is one of the blackest of all the black comedies that I have ever seen! It starts off with a good premise, and then gets darker and darker and funnier and funnier, and then a little darker still. It pushes every envelope that you thought would never be pushed, and succeeds in most of what it is trying to do. These guys find themselves in an awful predicament, and attempt to solve it by unsuspectingly placing themselves in an ever worse predicament, and so on, and so forth. All the while, the film laughs at itself, and the absurdity of every single exaggerated situation that they find themselves in. Having said that, please don't expect to find this story based in much reality, because it does go overboard quite a bit, but that is its purpose.
The cast is great, with Slater playing one of his best roles in years (Reminiscent of his psycho role in another great black comedy, HEATHERS (8/10)), the rest of the boys also come through like gangbusters, and Diaz plays the role of the ultimate wannabee bride convincingly. Berg's camera technique is also well-handled, while the run time of the film trickles in right before any indigestion. The only issue that I did have with this movie was the fact that I did find myself rolling my eyes about 3/4 of the way through, when some of the things just started getting a little too much out of hand. Having said that, the ending was ironically hilarious, and the overall audacity of the cast, and most of all, Peter Berg was a sight to behold. This man must've been in some kind of a funk when he wrote this crazy script because it is totally "out there"! If you like to see movies that take things to the extreme, then check this one out! If you like your standard, uncomplicated Hollywood pictures, with your happy-go lucky couple and friends for life, then forget this one, and go back and rent one of the eighteen thousand romantic comedies out there.
Most of the humour in this film worked for me (and for most of my friends, I might add), but admittedly, I have become accustomed to overly-violent behaviour in films by now. If violence, murders and the commitment of extremely immoral sins doesn't stir your darkened funny cup, then forget that you ever heard about this film. This movie is only for people who appreciate dark, dark humour under very bad, horrible circumstances. But it's like I said, even I thought the believability within this tent of black humour disappeared for a little while, but all in all, the film worked for me as one of the year's most original screenplays, and one of the most gruesome concepts to walk down the cinematic aisle in a while. This is NOT for the faint of heart, folks!
Little Known Facts about this film and its stars: The policeman character in this film is named Officer Randone. That was the name of the cop role that director Peter Berg himself portrayed in 1997's COPLAND (7/10). The man who plays the Rabbi in this film is the actual father of actor Jeremy Piven. His name is Byrne Piven. You may remember Jeremy Piven from his role as comedy writer on TV's "The Larry Sanders Show."  Actor Adam Sandler was slated to play the part of Michael Berkow, but pulled out after a couple of days, and was subsequently replaced by Jeremy Piven. An obvious homage to Quentin Tarantino's RESERVOIR DOGS (9/10) features the five guys walking in slow-motion towards the camera during their quick run to the local store. Christian Slater's real name is Christian Michael Leonard Hawkins. He was born in New York, New York, and most recently spent 59 days in jail for assaulting his girlfriend and a police officer as well as cocaine abuse. In 1994, good-guy Christian was also arrested for bringing a gun on a plane. He is a major Star Trek fan, and word on the street is that his unusual eyebrows are the result of him shaving them when dressing up as Spock for Halloween. They apparently never grew back in properly. Cameron Diaz was signed on as a model at the Elite Modeling Agency at the age of 16, after being discovered at a Hollywood party. Soon thereafter, she got alcohol poisoning in Australia at the age of 18. It took Cameron 12 callbacks to get her breakthrough role in THE MASK (7/10), opposite Jim Carrey. She was also slated to star opposite Christopher Lambert in MORTAL KOMBAT, but was forced to pull out after she injured her hand before filming had begun. Her father is a second-generation Cuban, and her mother is of German, English and Native-American ancestry.
Review Date: November 28, 1998 Director: Peter Berg Writer: Peter Berg Producers: Cindy Cowan, Diane Nabatoff and Michael Schiffer Actors: Christian Slater as Robert Boyd Cameron Diaz as Laura Garrety Jon Favreau as Kyle Fisher Jeremy Piven as Michael Berkow Daniel Stern as Adam Berkow Jeanne Tripplehorn as Lois Berkow Genre: Black comedy Year of Release: 1998
Visit JoBlo's Movie Emporium http://surf.to/joblo
(c) 1998 Berge Garabedian
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


{% extends "layouts/base.html" %} {% block content %} Loading application... {% include "partials/steps.html" %} {% raw %} {{ currentStep.title }} {{ currentStep.subtitle }} {% endraw %} {% include "partials/preview-panel.html" %} {% raw %} You are editing existing data package file, so some features will be unavailable. {{ externalDataPackageError }} {% endraw %}


--- title: Static content twice the speed with lighttpd date: 2006-12-22 10:13:36 +1100 modified: 2006-12-22 21:13:36 +1100 uid: http://paul.annesley.cc/articles/2006/12/22/static-content-twice-the-speed-with-lighttpd layout: post ---
I have done a basic benchmark between Apache 2.2 and lighttpd 1.4 for serving the static files on this WordPress installation, using the Apache "ab" benchmarking tool.
Apache is running prefork MPM, mod_ssl and mod_php5. LightTPD is running with minimal modules loaded for serving static content. Both are running on the same machine, on a Linux 2.6.17 kernel.
Here is the diff of the outputs from each ab benchmark, requesting a static CSS file 10,000 times without HTTP keepalive:
--- apache.ab.txt 2006-12-22 20:23:20.000000000 +1100
+++ lighttpd.ab.txt 2006-12-22 20:23:22.000000000 +1100
@@ -5 +5 @@
-Benchmarking paul.annesley.cc (be patient)
+Benchmarking static.annesley.cc (be patient)
@@ -18,3 +18,3 @@
-Server Software: Apache/2.2.3
-Server Hostname: paul.annesley.cc
-Server Port: 80
+Server Software: lighttpd/1.4.13
+Server Hostname: static.annesley.cc
+Server Port: 81
@@ -26 +26 @@
-Time taken for tests: 12.865701 seconds
+Time taken for tests: 6.837737 seconds
@@ -30 +30 @@
-Total transferred: 97570000 bytes
+Total transferred: 97030000 bytes
@@ -32,4 +32,4 @@
-Requests per second: 777.26 [#/sec] (mean)
-Time per request: 1.287 [ms] (mean)
-Time per request: 1.287 [ms] (mean, across all concurrent requests)
-Transfer rate: 7405.97 [Kbytes/sec] received
+Requests per second: 1462.47 [#/sec] (mean)
+Time per request: 0.684 [ms] (mean)
+Time per request: 0.684 [ms] (mean, across all concurrent requests)
+Transfer rate: 13857.65 [Kbytes/sec] received
@@ -39,3 +39,3 @@
-Connect: 0 0 6
-Processing: 1 1 9
-Total: 1 1 15
+Connect: 0 0 1
+Processing: 0 0 5
+Total: 0 0 6
A crude test, but I think 6.8 seconds vs 12.8 seconds speaks for itself. This performance increase should ease the load average on high traffic servers, which may in turn speed up other tasks such as processing PHP. I am very keen to do more thorough, controlled comparisons when time permits.
It would be quite easy to increase the performance of Apache, perhaps even beyond LightTPD. Just by leaving out mod_php5 and thus being able to compile with a more efficient MPM than prefork would probably put it back in the game.
The main point is that a separate, lighter HTTP server will get your static content to your users faster.


May 7, 2014 | CBR
Cloud Providers 'Must Provide More Visibility Into Application Performance’April 22, 2014 | CBR
The Pros and Cons of WAN OptimisationApril 8, 2014 | CBR
Challenger Banks: Holding the banks to account?January 10, 2014 | CBR
APM Brings New Jersey Manufacturers to 100% UptimeJanuary 8, 2014 | CBR
Network-Based APM: Out With the Old, In With New APM ApproachesWednesday, September 10, 2014
Compuware to Become World's Leading Mainframe-Dedicated Software CompanyTuesday, September 9, 2014
Compuware Renames Its APM Business DynatraceWednesday, August 27, 2014
Compuware to Host PERFORM 2014 Global User Conference:Tuesday, July 15, 2014
Compuware and Rosetta Presents Live Webcast: "Top 5 Avoidable Holiday Mistakes of eCommerce"Wednesday, July 2, 2014
Gartner Ranks Compuware the Worldwide APM Market Share Leader for Second Consecutive YearUnderstanding Application Performance on the Network
Understanding Application Performance on the Network
Understanding Application Performance on the Network
Understanding Application Performance on the Network
Understanding Application Performance on the Network
Understanding Application Performance on the Network
Journalists, bloggers or industry analysts looking for content,
speakers or expert commentary on Dynatrace, please contact:
In the U.S.
Kayla Siefker
Senior Public Relations & Analyst Relations Manager, Dynatrace
(313) 227 - 1402
Outside the U.S.
Mareike Jacobshagen | EMEA
Director Field marketing EMEA, Dynatrace
+49610283390


Hi, this gives some idea of the things that i am up to. I get kinda distracted by a bunch of things, so don't be surprised to see a pretty random mix of, comedy, programming, history and other stuff. Hit me up on my chat if you wanna speak and I am online.
ElasticSearch is an amazing new tool to allow super simple and flexible searches through complex data.
So I used it to take a look at what people are looking for when diddling and fapping. It's called Fap Search...
Check it outThere are loads of awesome open source projects out there, here are some of the ones I use:


Welcome to the hottest joint in the city.Here we serve you with the most delicious,affordable pizzas. You can even create your own pizza from scratchSo what are you waiting for
Bacon pizza
Mushrooms
Green peppers pizza
Black-olives pizza
Shrimp pizza
Pepporoni pizza
Veggie pizza
Pineapple pizza
CONTACT US


Home
Education
Work Experience
Portfolio
Seattle Outdoors
Welcome to Thao's Page!
My GitHub Repos
My Top Ten Favorite Seattle Outdoors Activities


Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Information here is provided with the permission of the ACM.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
ACM Digital Library: Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics 2018
the Eurographics Digital Library Link for the paper
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
Papers Session 1: Rendering on a Strict Ray Budget
- Gradient Estimation for Real-Time Adaptive Temporal Filtering
-
Christoph Schied,
Christoph Peters,
Carsten Dachsbacher
- Importance Sampling of Many Lights with Adaptive Tree Splitting
-
Alejandro Conty,
Christopher Kulla
- View-Region Optimized Image-Based Scene Simplification
-
Puneet Lall,
Silviu Borac,
Dave Richardson,
Matt Pharr,
Manfred Ernst
Papers Session 2: Future Graphics Pipelines
- A Fast Method to Calculate the Volumetric Divergence Metric for Evaluating the accuracy of the Extracted Isosurface
-
Cuilan Wang
- On-the-fly Vertex Reuse for Parallel Software Geometry Processing
-
Michael Kenzel,
Bernhard Kerbl,
Wolfgang Tatzgern,
Elena Ivanchenko,
Dieter Schmalstieg,
Markus Steinberger
- Revisiting The Vertex Cache: Understanding and Optimizing Vertex Processing on the modern GPU
-
Bernhard Kerbl,
Michael Kenzel,
Elena Ivanchenko,
Dieter Schmalstieg,
Markus Steinberger
Papers Session 3: Make Some Noise
- Fast Generation of Poisson-Disk Samples on Mesh Surfaces by Progressive Sample Projection
-
Tong Wang
- High-Performance Procedural Noise using an Histogram-Preserving Blending Operator
-
Eric Heitz,
Fabrice Neyret
- Non-periodic Tiling of Procedural Noise Functions
-
Aleksandr Kirillov
Papers Session 4: Building Ray Tracers
- A High-Resolution Compression Scheme for Ray Tracing Subdivision Surfaces with Displacement
-
Alexander Lier,
Magdalena Martinek,
Marc Stamminger,
Kai Selgrad
- Phantom Ray-Hair Intersector
-
Alexander Reshetov,
David Luebke
- PLOCTree: A Fast, High-Quality Hardware BVH Builder
-
Timo Viitanen,
Matias Koskela,
Pekka Jaaskelainen,
Aleksi Tervo,
Jarmo Takala
Short Papers Session
- Adaptive Temporal Antialiasing
-
Adam Marrs,
Josef Spjut,
Holger Gruen,
Rahul Sathe,
Morgan McGuire
- Correlation-Aware Approximate Semi-Analytic Visibility for Antialiased Rendering
-
Cyril Crassin,
Chris Wyman,
Morgan McGuire,
Aaron Lefohn
- Deferred Adaptive Compute Shading
-
Ian Mallett,
Cem Yuksel
- Compressed-Leaf Bounding Volume Hierarchies
-
Carsten Benthin,
Ingo Wald,
Sven Woop,
Attila T. Afra
kesen.huang@gmail.com


The city name is invalid!
The maximum team number needs to be positive!
The minimum team size needs to be positive!
The maximum team size needs to be no smaller than minimum!
This introduction is too long!


Hey folks :heart:,
I started this project with the intention to simplify downloading and managing songs.\
There are already more ideas for this and I'm also happy to get some `inspiration` from `YOU`.
Share your ideas or report problems on my GitHub.
\
\
\
You can also give me some :heart: and support my :coffee: consumption:
!["Buy Me A Coffee"]({{coffeeImgUrl}})!["Become a Patreon"]({{patreonImgUrl}})


{% extends "base.html" %} {% block title %}Password reset confirmation - {% endblock title %} {% block content %}
Please enter your new password twice so we can verify you typed it in correctly.
Change my password


Secret Life of Walter
MITTY
“MITTY, from daydreams to life.”
Walter, a negatives assets manager at Life Magazine, has a colorful imagination, one in which he is always taking risks and getting into outrageous adventures.
The magazine is downsizing and getting ready to produce their last-ever print issue. Renowned photographer Sean O'Connell has taken a series of photographs for the cover, and sends Walter the gift of a wallet to thank him for his work over the years, along with a negative of the photograph he wants to grace the cover. The only problem is: the negative is missing. Walter stalls his manager for time to locate it. Meanwhile Cheryl, Walter's office crush, has an idea that they can use the other negatives as a clue to Sean's current location and track him down. When Walter decides that Sean must be in Greenland, he books a plane ticket there to find Sean.
Walter arrives in Nuuk, the capital city of Greenland, and meets a local bartender who tells him that Sean has already left by ship. In order to find him, Walter tries to get on the postal helicopter that delivers mail along the coastline. The pilot of the helicopter is drunk, but he is wearing the distinctive ring that Walter spotted in one of Sean's picture. Out at sea, Walter jumps out of the helicopter and into the shark-infested waters, where he nearly gets eaten but is pulled onto a postal boat at the last moment.
Walter's timing is terrible yet again, as Sean has already left the boat. When the men on the boat give Walter some clementine cake that seems to be identical to the kind Walter's mother makes, Walter notices a travel itinerary on the wrapping of the cake. Sean is headed to Iceland to photograph a volcano there.
In Iceland, Mitty bikes to the volcano, and eventually gets a longboard from two Icelandic teenagers, which he uses to get closer to the volcano. He spots Sean on a little plane flying close to the volcano mouth. As he goes to follow, the volcano erupts, and Walter has no choice but to flee, losing Sean yet again. He returns to New York.
Back in New York, Walter is fired, and deduces that Cheryl and her estranged husband are back together. He leaves the Icelandic longboard on Cheryl's stoop as a gift for her son, Rich. Despondent, he goes to visit his mother, and throws the wallet that Sean gave him in the trash. Sitting on his mother's couch, he recognizes that her piano is actually the curved wood in one of Sean's negatives. His mother tells him that she has met Sean before, and that she told him all about it, but as usual Walter was too busy daydreaming about something else to listen to her.
Walter tracks Sean down in the Himalayas, photographing a rare snow leopard. He asks him about the missing negative, and Sean tells him that it was in the wallet he gave Walter as a gift. When Walter presses Sean to tell him what the photograph depicts, Sean refuses. Walter flies to Los Angeles but is detained at the airport. The only person he knows in Los Angeles is Todd, a customer representative from eHarmony, with whom Walter has been in touch about his dating profile.
Walter's mother decides to sell her piano, and Walter accompanies her. When he casually recounts the story of the mysterious negative in the wallet, his mother tells him that she rescued the wallet from the trash as soon as he had left. Sure enough, there is a tiny negative-sized envelope inside the wallet. Triumphant, Walter takes the negative to the magazine offices, and gives it to the manager who fired him, Ted. He then tells Ted off for disrespecting his tenured and loyal employees.
Later, Walter runs into Cheryl and is finally bold enough to tell her how he feels about her. She tells him her ex-husband was only at her house repairing the refrigerator, and they're not back together. Walter tells Cheryl about his adventure and about finding the negative, although he still doesn't know what was on it. Walking to the subway, they pass a newsstand which is selling the final print issue of Life. The issue is dedicated to its staff, and the cover shows Walter sitting outside the Time-Life building studying a contact sheet. As they walk down the street, Walter and Cheryl hold hands.
“To see the world, things dangerous to come to, to see behind walls, draw closer, to find each other, and to feel. That is the purpose of life.”
-- Life Magazine Motto


--- layout: post title: Foursquare’s Amazon Move Highlights Hadoop Hurdles date: '2012-03-23T14:27:56-07:00' tags: tumblr_url: http://alexhwilliams.tumblr.com/post/19797764301/foursquares-amazon-move-highlights-hadoop-hurdles ---
http://bit.ly/GJiEoc


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X[i] = 0bf3a70aefd80ca0b4081bd3
X[i+1] = 0af3a7084c40059bbc09f755
2018-10-22 21:01:07 [Pool] [kmdice] (Thread 1) Share rejected: {"job":"dbc6","ip":"::ffff:<IP_ADDRESS>","worker":"RG28LEiTNc8kv3hT7T35e8qMPQxc8qmL55.noname","difficulty":57.70799808,"error":"invalid solution"}


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{% extends "base.html" %} {% block title %}New Dataset{% endblock title %} {% block css %} {% endblock css %} {% block breadcrumbs %} / {{ account.user }} / new dataset {% endblock breadcrumbs %} {% block content %}
If you are adding a csv dataset please make sure that the longitude and latitude columns are named "longitude" and "latitude" and spelled with lowercase letters. Additionally the coordinates need to be written as decimal degrees; e.g. 53.108, 8.845. The degrees, minutes, seconds coordinate style, or any variations thereof, will not work with this website.
WARNING: if you are using microsoft excel to create your .csv files be certain that you set the decimal separator to a dot "." and not a comma ",". The site will not be able to read gps coordinates that are not written this way. If you have a windows operating system follow this link to see how to change the decimal separator to a dot, and if you are using a mac operating system follow this link.
If you are adding a dataset that is saved on Owncloud you will not need to enter anything in the "Url" field, and vis versa. Also, Owncloud path is case sensitive.
{% endblock content %}


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Class HeaderVariable
Defines a header variable.
Inheritance
Inherited Members
Namespace: netDxf.Header
Assembly: CADability.dll
Syntax
public class HeaderVariable
Constructors
| Improve this Doc View SourceHeaderVariable(String, Int16, Object)
Initializes a new instance of the HeaderVariable
class.
Declaration
public HeaderVariable(string name, short groupCode, object value)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | name | Header variable name. |
| System.Int16 | groupCode | Header variable group code. |
| System.Object | value | Header variable value. |
Remarks
It is very important to match the group code with its corresponding value type,
check the DXF documentation for details about what group code correspond to its associated type.
For example, typical groups codes are 70, 40, and 2 that correspond to short, double, and string value types, respectively.
If the header value is a Vector3 use the group code 30, if it is a Vector2 use group code 20,
when the variable is written to the DXF the codes 10, 20, and 30 will be added as necessary.
Properties
| Improve this Doc View SourceGroupCode
Gets the header variable group code.
Declaration
public short GroupCode { get; }
Property Value
| Type | Description |
|---|---|
| System.Int16 |
Name
Gets the header variable name.
Declaration
public string Name { get; }
Property Value
| Type | Description |
|---|---|
| System.String |
Remarks
The header variable name is case insensitive.
Value
Gets the header variable stored value.
Declaration
public object Value { get; set; }
Property Value
| Type | Description |
|---|---|
| System.Object |
Remarks
It is very important to match the group code with its corresponding value type,
check the DXF documentation for details about what group code correspond to its associated type.
For example, typical groups codes are 70, 40, and 2 that correspond to short, double, and string value types, respectively.
If the header value is a Vector3 use the group code 30, if it is a Vector2 use group code 20,
when the variable is written to the DXF the codes 10, 20, and 30 will be added as necessary.
Methods
| Improve this Doc View SourceToString()
Obtains a string that represents the header variable.
Declaration
public override string ToString()
Returns
| Type | Description |
|---|---|
| System.String | A string text. |


This page works in Edge, but doesn't seem to work in Chrome
Temperature (F)
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Wind Speed
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Latitude, Longitude:
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| | |
- __builtin__.object
-
- PTSDfd
- PTSDfdEdge
- PTSElement
-
- PTSAcceptance
- PTSExposure
- PTSMitigation
- PTSTransfer
- PTSProperty
-
- PTSBoundary
- PTSComponent
- PTSThreat
- PTSReference
- PTSReview
- PTSSourceTag
- PyThreatspecParser
- PyThreatspecReporter
class PTSBoundary(PTSProperty) |
| |
A ThreatSpec boundary.
This is a property class that holds a trust boundary. In the intermediate
JSON output files these are grouped together and can be shared between source
files or even projects. For example:
"boundaries": {
"@auth": {
"name": "Authentication / EC2"
},
"@external": {
"name": "External"
},
Attributes are inherited from PTSProperty. |
| |
- Method resolution order:
- PTSBoundary
- PTSProperty
- __builtin__.object
Methods defined here:
- __init__(self, name, desc='')
- Initiate the PTSBoundary class.
Methods inherited from PTSProperty:
- export_to_json(self)
- Return a JSON representation of this class.
- inner_rep(self)
- Return the inner representation of this object.
Data descriptors inherited from PTSProperty:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSComponent(PTSProperty) |
| |
A ThreatSpec component.
This is a property class that holds a component which exists within
a trust boundary (PTSBoundary). In the intermediate JSON output files
these are grouped together and can be shared between source files or
even projects. For example:
"components": {
"@auth": {
"@session": {
"name": "Session API"
}
},
"@external": {
"@user": {
"name": "User"
}
},
Attributes are inherited from PTSProperty. |
| |
- Method resolution order:
- PTSComponent
- PTSProperty
- __builtin__.object
Methods defined here:
- __init__(self, name, desc='')
- Initiate the PTSComponent class.
Methods inherited from PTSProperty:
- export_to_json(self)
- Return a JSON representation of this class.
- inner_rep(self)
- Return the inner representation of this object.
Data descriptors inherited from PTSProperty:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSDfd(__builtin__.object) |
| |
Contains the Data Flow Diagram (DFD) tree structure.
Data flow diagrams are a core part of threat modelling and ThreatSpec allows
the creation of DFDs through code using @connects tags (and in future using
language callgraphs). We basically store the connections (edges) between
components plus a little bit of metadata.
The structure is a series of nested dicts with the following hierarchy:
source boundary -> source component -> destination boundary -> destination component -> details |
| |
Methods defined here:
- __init__(self)
- Initialise the PTSDfd class.
- add_edge(self, edge)
- Add an DFD edge to the tree.
- export_to_json(self)
- Return a JSON representation of this class.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSDfdEdge(__builtin__.object) |
| |
Represents a DFD edge.
An edge is a connection between two components, which are themselves contained within a trust boundary. The
edges can be between components within a trust boudnary, or between boundaries. An edge can also be
unidirectional or bidirectional.
Attributes:
source_boundary_id: Source boundary ID string.
source_component_id: Source component ID string.
dest_boundary_id: Destination boundary ID string.
dest_component_id: Destination component ID string.
connection_type: A string that represent the direction of the connection. Either "uni" for unidirectional, or
or "bi" for bidirectional.
tag: A PTSSourceTag object. |
| |
Methods defined here:
- __init__(self, source_boundary_id, source_component_id, dest_boundary_id, dest_component_id, connection_type, tag)
- Initialise the PTSDfdEdge class
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSElement(__builtin__.object) |
| |
A ThreatSpec element.
An element in this case is anything that is tied to a threat and
boundary / component combination. In the intermediate JSON files
these for the exposures, mitigations etc. For example:
"mitigations": {
"@use_of_tls": [
{
"refs": [],
"component": "@loadbalancers",
"source": {
"function": "universal",
"line": 32,
"file": "../report_dfd/example.py"
},
"mitigation": "use of TLS",
"threat": "@information_disclosure_in_transit",
"boundary": "@web"
},
Attributes:
boundary: A boundary ID string.
component: A component ID string.
threat: A threat ID string.
refs: An optional array of references strings. |
| |
Methods defined here:
- __init__(self, boundary, component, threat, refs=[])
- Initialise the PTSElement class.
- export_to_json(self)
- Return a JSON representation of this class.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSProperty(__builtin__.object) |
| |
An abstract parent class
Used by anything that needs to store a name and description.
Attributes:
name: A string containing the property name.
desc: An optional description of the property instance. |
| |
Methods defined here:
- __init__(self, name, desc='')
- Initiate the PTSProperty class.
- export_to_json(self)
- Return a JSON representation of this class.
- inner_rep(self)
- Return the inner representation of this object.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSReference(__builtin__.object) |
| |
Represents a reference.
References are used as pointers to documentation, bug tracking issues etc.
Attributes:
ref: A string representing a reference |
| |
Methods defined here:
- __init__(self, ref)
- Initialise the PTSReference class
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSReview(__builtin__.object) |
| |
Represents a @review tag.
Review tags are slightly different to @mitigates and @exposes tags etc. because
it isn't related to a threat, but is otherwise very similar.
Attributes:
boundary: A boundary ID string.
component: A component ID string.
review: A string containing the review statement.
refs: An optional array of references strings. |
| |
Methods defined here:
- __init__(self, boundary, component, review, refs=[])
- Initialise the PTSReview class.
- export_to_json(self)
- Return a JSON representation of this class.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSSourceTag(__builtin__.object) |
| |
A container for source code metadata.
As ThreatSpec tags are found, the source file metadata is captured to provide
context for those tags. This can be used to determine relationships between
components when used with a callgraph, or it can be used to report on exactly
where migitations, exposures etc. have been found in the code.
Attributes:
fname: A string containing the current source file's file name.
lineno: An integer with the current line number.
function: A string that represents the current class, function or module. |
| |
Methods defined here:
- __init__(self, fname='', lineno=0, function='')
- Initiate the PTSSourceTag class.
- __str__(self)
- Return the string representation of this class.
- export_to_json(self)
- Return a JSON representation of this class.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PTSThreat(PTSProperty) |
| |
A ThreatSpec threat.
This is a property class that holds a threat. In the intermediate JSON
output files these are grouped together and can be shared between source
files or even projects. For example:
"threats": {
"@manipulation_of_data_in_transit": {
"name": "manipulation of data in transit"
},
"@malicious_requests": {
"name": "malicious requests"
},
Attributes are inherited from PTSProperty. |
| |
- Method resolution order:
- PTSThreat
- PTSProperty
- __builtin__.object
Methods defined here:
- __init__(self, name, desc='')
- Initiate teh PTSThreat class.
Methods inherited from PTSProperty:
- export_to_json(self)
- Return a JSON representation of this class.
- inner_rep(self)
- Return the inner representation of this object.
Data descriptors inherited from PTSProperty:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PyThreatspecParser(__builtin__.object) |
| |
The Python ThreatSpec parser class.
This class is used to track the ThreatSpec data as source files are parsed, and also
implements the functions used in parsing. |
| |
Methods defined here:
- __init__(self)
- Initiates the PyThreatspecParser class
- add_boundary(self, boundary)
- Add a boundary.
A boundary represents a separation of trust and encompasses one or more components.
In ThreatSpec, boundaries and components a linked together when either defined using
the @alias tag, or when using a threat tag, for example:
@alias boundary @user to User
@mitigations User:@session against session hijack with use of tokens
Args:
boundary: boundary representing a boundary id or name.
Returns
A boundary id.
- add_component(self, boundary_id, component)
- Add a component.
A component is a part of the system that does something or is in some way
acted on. It exists inside a threat boundary and is generally connected to
other components. It can be defined using an @alias tag, or when using a threat
tag, for example:
@alias component @user:@session to Web session
@exposes @user:Session to information disclosure with lack of TLS
Args:
boundary_id: A boundary id string.
component: A component id or name string.
Returns:
A component id.
- add_threat(self, threat)
- Add a threat.
A threat represents an potential attack against the system and can be defined
using an @alias tag, or when using one of the threat tags. You can use the alias
tag to group together threats into an attack library that can be shared between
projects. For example:
@alias threat @cwe_123_information_disclosure to CWE123 Information Disclosure
@transfer @cwe_123_information_disclosure to @external:@user with acceptance of terms
Args:
threat: A threat id or name string.
Returns:
A threat id
- export(self)
- Exports the internal data structures.
- parse(self, filename)
- Parse the source file.
Parses the Python source file using the AST.
Args:
filename: String containing the filename as given on the command line.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
|
class PyThreatspecReporter(__builtin__.object) |
| |
Represents the intermediate representation structure.
This class abstracts the ultimate output of the parser, including all the metadata
and ThreatSpec tags and elements.
The exported JSON object should be valid as defined in the jsonschemea specification.
The output JSON file can contain multiple projects and reports can be based on
multiple intermediate output files for multiple projects, bringing multiple
threat reports into a single large-scale threat report.
Attributes:
parser: A PyThreatspecParser object
project: Project name string |
| |
Methods defined here:
- __init__(self, parser, project)
- Initialise the PyThreatspecReporter class.
Args:
parser: A PyThreatspecParser instance.
project: A string representing the current project name.
Returns:
A PyThreatspecReporter object.
- export_to_json(self)
- Return a JSON representation of this class.
For this class, the exported JSON is callled the intermediate representation file.
This should be valid as per the specification and allows different projects from different
languages to be merged into a single Threat Model.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
| |


Komodo-Bot
BOT
14-Jul-18 02:33 PM
[glc#8243] Hi Bo! i had to wait 10 minutes to answer you
[KomodoBo#8264] I see, no problem
[glc#8243] Should i have a agama wallet? Or erc20 address is ok?
[KomodoBo#8264] You need a Komodo address. You can add both KMD and ZILLA in Lite mode to Agama wallet
[KomodoBo#8264] you're welcome. It's a great wallet
[glc#8243] When will the airdrop is over?
[KomodoBo#8264] If you have 500KMD you apply for the real airdrop.
Smaller airdrops are done here daily i think at suprise times
[Tort#9226] how do you apply?
[Tort#9226] I have well over 500 kmd 8)
[djithbit#3171] Think if you are commited to those daily airdrops that you can get more than the main airdrop.
[KomodoBo#8264] then you apply. More information will follow here I think
[KomodoBo#8264] @Tort maybe you automatically get ZILLA in August. Or maybe we should register. I think autmatically
[KomodoBo#8264] Best to have coins in Agama
[Steve10#5203] Hold your Komodo in an agama wallet minimum 500. Nothing else to do for the first main airdrop
[Tort#9226] I'm a little worried about connecting my wallet to the net
[Tort#9226] I try to keep it in cold storage
[Tort#9226] holding until 2022 ish
[djithbit#3171] How to store kmd in cold storage?
I only have ledger
[djithbit#3171] But i think agama is secure
[PTYX#6840] If you have a ledger with 500 or more KMD you will be included in the snapshot. however, you will need to export the privatekey of that particular address in the future to access your funds in Agama or our standalone wallet when it's released
[yorklab#7270] No need to apply, just keep in the Agama wallet
[Robert Naus#9564] @[TPUX] Djith Wattignies I think it’s as secure as it can be, when u got your keys u good
[djithbit#3171] I only have the 256 phrase


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Counties by Regions
This are the counties. format( ) Content
Uasin Gishu
There are 6 sub-sounties
Kapsaret
Moiben
Turbo
Soi
Section 2
Content 2
Section 3
Content 3
Section 4
Content 3
Section 5
Content 5
Section 6
Content 6
Counties Kenya


How-To?¶
#0 How to quickly try out the latest build?
This can be achieved by simply pulling Owl’s docker image.
docker pull ryanrhymes/owl
docker run -t -i ryanrhymes/owl
If you want to run Owl on different platforms such as ARM, please refer [here](https://github.com/ryanrhymes/owl#run-owl-on-different-platforms) for more details.
#1 How to make toplevel automatically load Owl when it starts?
You can edit the .ocamlinit
file in your home directory by adding the following lines.
#use "topfind"
#require "owl"
open Owl
If you don’t want to open Owl module, please remove the open Owl
. If you use utop
rather than OCaml’s default toplevel, remove the redundant #use "topfind"
.
#2 How to check the performance of Linalg module?
Calling the Linalg.Generic.peakflops ()
function will return you the number of float operations per second (flops). This number is derived by calculating the amount of time spent in multiplying two 2000 x 2000
matrices. Julia provides the same function and you can use this to compare two.
#3 How to measure the time spent in an operation?
Owl.Utils.time
function can be used to measure the time spent in one operation. It takes a function of type (unit -> 'a)
as input and returns a float number represent the time in ms
. Here is an example.
let x = Mat.uniform 1000 1000 in
let f () = Mat.sum x in
Owl.Utils.time f;;
#4 How to concatenate a list of ndarrays?
Arr.concatenate ~axis:0 [|x; y; z|];;
#5 How to split an ndarray?
Arr.split ~axis:0 [|2;4;2|] x;;
#6 How to make one-hot vectors?
let x = Mat.zeros 4 4;;
Mat.set_index x [| Utils.range 0 3; [|3;2;1;0|] |] [|1.|];;
#7 How to circular shift the columns/rows of a matrix?
Mat.get_slice [ R []; L [1;2;3;0] ] x;;
#8 Save & Load Matrices
All matrices can be serialised to storage by using save
. Later, you can load a matrix using load
function.
Mat.save x "m0.mat";; (* save x to m0.mat file *)
Mat.load "m0.mat";; (* load m0.mat back to the memory *)
There are also corresponding save_txt
and load_txt
functions for a simple tab-delimited, human-readable format. Note the performance is much worse than the corresponding save
and load
.


About iMLOv
We believe that everyone without professional training in informatics is able to master machine learning skills as long as the user-interface is friendly enough. By integrating several well-known machine learning algorithms into an easy-to-use interface, we present the iMLOv system. Using iMLOv can be just making several "next step" clicks. Moreover, this system accepts Excel-compatible CSV files of a simple "one row, one case" format.
Machine learning is an important technique for data classification and making predictions/decisions based on known data. It is also a key to big data analysis and artificial intelligence. In this digital era when all types of data increase explosively (proteomics, genomics, public health…), it is expectable that learning machine learning will become necessary for biologists and medical scientists in the near future. However, most machine learning software is inconvenient for users unfamiliar with programming or command-line operating. Hence, we develop this non-expert-friendly system iMLOv, which integrates decision tree, support vector machine, artificial neural network, and random forest algorithms. It also utilizes a genetic algorithm to help perform feature selections. Hopefully this system will become a useful tool for scientists to move their fields forward.
Welcome to experience AIgatha AI pridictive platform, please choose a project you interested.
Dota2 Games Result Data Set
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Raw data volumn : 1728
Number of training sets : 1152
Bank
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Raw data volumn : 1728
Number of training sets : 1152
Car Evaluation Data Set
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Raw data volumn : 1728
Number of training sets : 1152
Setting of the Task
Information of your training data
Number of cases: 1699
Number of features: 6
Testing
Job ID :
J3112214
Return time :
2 hr
Job capacity :
10g
Data
Training fileCEDS train.csv
Prediction fileCEDS_prediction_test.csv
Case filesNull
Model fileNull
Tasks to perform
Features filesTraining
MethodN-fold cross validation
Number of fold3
Grouping methodInterval
Algorithms to integrate
Your algorithms list
Support Vector Machine
Artificial Neural Network
Decision Tree
Setting of the selected algorithms
Support Vector Machine
Forest size100
Class cases balancing Numbermax*1
Quick optimizationYes
Log2g trial valuesiMLOv default
Artificial Neural Network
Forest size100
Class cases balancing Numbermax*1
Quick optimizationYes
Decision Tree
Forest size100
Class cases balancing Numbermax*1
Quick optimizationYes
INTERGRATRESD(Dota)
Number of cases : 165.67
Correct rate : 96.18%
Error rate : 3.82%
click download model and prediction
Support Vector Machine
Number of cases : 165.67
Correct rate : 94.58%
Error rate : 5.42%
click download model and prediction
Artificial Neural Network
Number of cases : 165.67
Correct rate : 95.62%
Error rate : 4.38%
click download model and prediction
Decision Tree
Number of cases : 165.67
Correct rate : 98.58%
Error rate : 1.42%
click download model and prediction
INTERGRATRESD(Bank)
Number of cases : 165.67
Correct rate : 96.18%
Error rate : 3.82%
click download model and prediction
Support Vector Machine
Number of cases : 165.67
Correct rate : 94.58%
Error rate : 5.42%
click download model and prediction
Artificial Neural Network
Number of cases : 165.67
Correct rate : 96.62%
Error rate : 4.38%
click download model and prediction
Decision Tree
Number of cases : 165.67
Correct rate : 98.58%
Error rate : 1.42%
click download model and prediction
INTERGRATRESD
Number of cases : 165.67
Correct rate : 96.18%
Error rate : 3.82%
click download model and prediction
Support Vector Machine
Number of cases : 165.67
Correct rate : 94.58%
Error rate : 5.42%
click download model and prediction
Artificial Neural Network
Number of cases : 165.67
Correct rate : 95.62%
Error rate : 4.38%
click download model and prediction
Decision Tree
Number of cases : 165.67
Correct rate : 98.58%
Error rate : 1.42%
click download model and prediction
Hi, welcome to IM platform, Everyone have 100,000 ATH to exprience this game, choose your project first.
Then , select your computing tool. The more options you choose, the more precise operation and the better result.
Next step, upload your project data to your computer for quick assessment.
Let's check it, now.
This is your task. Please select the calculation settings. You will be able to know the time and cost of the assessment.
Select the tasks you would like to perform. Additional option will appears as you hit the checkboxes.
The mission will be uploaded to the Chronos Fortress,
after evaluation of the operation, the return data.
The machine will cut the project into equal parts,
extract one of them and evaluate the report.
2 hr
70 ATH


TOUCH OF EVIL A film review by Steve Rhodes Copyright 1998 Steve Rhodes RATING (0 TO ****): ***
In 1958 Orson Wells turned his latest picture, TOUCH OF EVIL, over to the studio and left the country to work on another movie. The studio, expecting a solid B movie did not know what to do with the print Wells gave them. Essentially a B movie with an avant-garde look, the film, which was re-edited by the studio, got mixed reviews when it was released. After dying at the box office, it was later deemed a classic even though the critics and the public at the time did not care much for it.
Against this historical backdrop, Academy Award winning editor Walter Murch (THE ENGLISH PATIENT) has used Wells's 58 page memo on how he wanted to change the studio cut as the basis for a re-edit for the film's re-release to the theaters on its fortieth anniversary. Whether TOUCH OF EVIL is a masterpiece as many have called it or just an intriguing, confusing and avant-garde B movie is the question. Probably the movie's fans will be pleased with the new version, but those less attached to the original film may find the redo an interesting movie albeit far from a great one.
The major change to the picture occurs during the long opening sequence of a moving car with a bomb in the trunk, which is the one of most important scenes in the move. In the original release the studio obscured the images by overlaying them with the opening credits and changing the natural street sounds Wells wanted to a heavy Henry Mancini score. Wells's vision for the opening is superior, this much is certain.
Wells not only directed the film, he also completely rewrote Paul Monash's original script, and he chose himself to star in the movie opposite Charlton Heston, who had just finished his successful role in THE TEN COMMANDMENTS.
Welles plays Hank Quinlan, an American law enforcement officer in a Mexican border town. Hank, an "ex-lush," who is in such poor health that he seems certain to die of a heart attack at any moment, has trouble staying on the wagon. His sweaty face chomps so hard at his cigar that he almost pulverizes it, and his rumpled clothes look like he's been wearing them for weeks. The audience can almost smell him coming. Everyone has their specialties, and Hank's is planting evidence in order to ensure convictions.
In complete contrast to Wells, Heston plays a Mexican narcotics agent named Mike Vargas, who has "near cabinet level rank" within the Mexican government. Clean-cut and aristocratic looking, Mike is as honest as the day is long. Janet Leigh plays Mike's American-born wife, Susan, who, quite unbelievably, knows basically no Spanish. The purpose of her character in the cliched plot is to be kidnapped and abused. Whether she is gang-raped or not is left ambiguous. Mercedes McCambridge plays a leader of the young Mexican drug users, who look like actors you might expect to find in REEFER MADNESS.
The script revels in ambiguities and oblique sexual references. Trying constantly to be more than just your average B movie, it throws in bits of everything from westerns to Shakespeare.
The story has the two law officers join forces at first to find the bomber, but they quickly become adversaries. The movie is filled with quirky characters from Dennis Weaver as an imbecilic motel manager to Marlene Dietrich as a cliched madam named Tanya.
Filmed in black and white with heavy use of shadows to denote the omnipresence of evil, the movie has a look popular in 1950's Saturday matinee double features. The difference is that TOUCH OF EVIL has a stellar cast and a deliciously oblique script.
"He was some kind of man," Tanya says at the end. "What does it matter what you say about people?" She was speaking of Wells's character, but the quote would be even more appropriately spoken of Wells himself. His brilliance shows in his greater works as well as his more modest ones.
Were the reviewers at the time of its initial release wrong? Or was this really an unrecognized masterpiece? You can be your own judge. As for me, it wasn't even the best movie I saw this week. Still, a Wells movie is always something well worth savoring.
TOUCH OF EVIL runs 1:13. It is not rated but probably would be PG-13 for adult themes and violence and would be fine for kids around 12 and up.
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