|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object controller.WorkspaceController
public class WorkspaceController
The WorkspaceController is the starting point for any program using Open Blocks. It contains a Workspace (the block programming area) as well as the Factories (the palettes of blocks), and is responsible for setting up and laying out the overall window including loading some WorkspaceWidgets like the TrashCan.
| Field Summary | |
|---|---|
protected SearchBar |
searchBar
|
protected static Workspace |
workspace
The single instance of the Workspace Controller |
protected javax.swing.JPanel |
workspacePanel
|
| Constructor Summary | |
|---|---|
WorkspaceController()
Constructs a WorkspaceController instance that manages the interaction with the codeblocks.Workspace |
| Method Summary | |
|---|---|
java.lang.Iterable<SearchableContainer> |
getAllSearchableContainers()
Returns an unmodifiable Iterable of SearchableContainers |
java.lang.String |
getSaveString()
Returns the save string for the entire workspace. |
javax.swing.JComponent |
getSearchBar()
Returns a SearchBar instance capable of searching for blocks within the BlockCanvas and block drawers |
javax.swing.JComponent |
getWorkspacePanel()
Returns the JComponent of the entire workspace. |
static void |
initWithLangDefFilePath(java.lang.String langDefFilePath)
|
void |
loadBlockLanguage(org.w3c.dom.Element root)
Loads all the block genuses, properties, and link rules of a language specified in the pre-defined language def file. |
void |
loadFreshWorkspace()
Loads a fresh workspace based on the default specifications in the language definition file. |
void |
loadProject(java.lang.String projectContents)
Loads the programming project specified in the projectContents. |
void |
loadProject(java.lang.String projectContents,
java.lang.String langDefContents)
Loads the programming project specified in the projectContents String, which is associated with the language definition file contained in the specified langDefContents. |
void |
loadProjectFromPath(java.lang.String path)
Loads the programming project from the specified file path. |
static void |
main(java.lang.String[] args)
|
void |
resetLanguage()
Resets the current language within the active Workspace. |
void |
resetWorkspace()
Resets the entire workspace. |
void |
setLangDefFile(java.io.File langDefFile)
Sets the Lang Def File to the specified File langDefFile. |
void |
setLangDefFilePath(java.lang.String filePath)
Sets the file path for the language definition file, if the language definition file is located in |
void |
setLangDefFileString(java.lang.String langDefContents)
Sets the contents of the Lang Def File to the specified String langDefContents |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
protected static Workspace workspace
protected javax.swing.JPanel workspacePanel
protected SearchBar searchBar
| Constructor Detail |
|---|
public WorkspaceController()
| Method Detail |
|---|
public void setLangDefFilePath(java.lang.String filePath)
public void setLangDefFileString(java.lang.String langDefContents)
langDefContents
- String contains the specification of a language
definition filepublic void setLangDefFile(java.io.File langDefFile)
langDefFile
- File contains the specification of the a language
definition file.public void loadBlockLanguage(org.w3c.dom.Element root)
root
- Loads the language specified in the Element rootpublic void resetLanguage()
public java.lang.String getSaveString()
public void loadFreshWorkspace()
public void loadProjectFromPath(java.lang.String path)
path
- String file path of the programming project to loadpublic void loadProject(java.lang.String projectContents)
projectContents
- public void loadProject(java.lang.String projectContents, java.lang.String langDefContents)
projectContents
- langDefContents
- String XML that defines the language of
projectContentspublic void resetWorkspace()
public javax.swing.JComponent getWorkspacePanel()
public javax.swing.JComponent getSearchBar()
public java.lang.Iterable<SearchableContainer> getAllSearchableContainers()
public static void main(java.lang.String[] args)
public static void initWithLangDefFilePath(java.lang.String langDefFilePath)
|
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Showing a card with a group of content.
Herding Group
Hound Group
Non-Sporting Group
Sporting Group
Terrier Group
Toy Group
Working Group
Foundation Stock Service
Miscellaneous Class
Showing a card with title only.
Showing a Card with title and subtitle.
Showing a card with title, subtitle, and a footer.
Showing a card with title, subtitle, and avatar as header and a card image.
The dachshund is a short-legged, long-bodied, hound-type dog breed.
Showing a card with header, content, image, and two action buttons: "share" and "like".
The Shiba Inu is the smallest of the six original and distinct spitz breeds of dog from Japan. A small, agile dog that copes very well with mountainous terrain, the Shiba Inu was originally bred for hunting.


Chloe Majonica
Advertising... Has anything really changed?
I happen to really enjoy encoding “The Egyptian Gazette.” It is almost therapeutic. As I venture into another day of my week in January of 1907, I have become accustomed with its format, easily pulling code from other parts of the paper I, and my classmates, have already worked on.
My favorite part of the paper is the advertisement section. No hassle of OCR, lots of pictures, and its sheer simplicity makes me feel like an encoding wiz. And when I was working on my Thursday issue, I imagined myself reading “The Egyptian Gazette” in Alexandria.
This was surprisingly simple for me, to read the newspaper as if I always had, as I even began to memorize the advertisements in the same way people living in Alexandria probably did, knowing their location and contents by heart. Interestingly enough, the most common advertisements seemed to be for travel, focused on both steamship movements and hotels. However, I did not really enjoy reading these advertisements, and even worse were the ones relating to finance or insurance. My favorite by far were the advertisements related to health. These advertisements were less common, but they were unique, scattered throughout the paper making me feel as if I was on a scavenger hunt in search of the next one. They are the complete opposite of the steamship and hotel advertisements that overwhelm the first, second, and last page of the paper. I actually wanted to read the health advertisements because who isn’t intrigued by the idea of something that can make one feel or look better?
Each and every time I see an advertisement for Peruna, a medicine advertised for women, the miracle stories about how it has changed people’s lives, as well its format and illustrations, catch my attention.  The Mena House Hotel advertisement is an example of their lackluster design, with its only description being that it is a “First Class Family Hotel.” Hard to say if I would stay there. The same goes for the boring advertisement for the Savoy Palace Hotel, which does not get me excited at all for it to open “shortly.”
How different are these advertisement tactics from that of today? Not very; the same tactics are used, especially when advertising medicine, as “success” stories continue to be attached to medicines sold in present day. Yet, in terms of travel, it is easier for hotels to excite the consumer today with vivid websites that show luxurious amenities at the click of a button.
Thus, although their contents may have shifted, people are still consumed with products that provide personal benefit, and travel, because even now commercials, computer and phone advertisements everywhere consist of these things, similarly to that of Egypt in 1907. In Alexandria it seems that just like in 2018, trying to get the daily news comes with an unexpected bombardment of advertisements that we love to hate, but hate to love.
If you wish to look more into advertising and its impact in present day with technology and print, check out these links below: 1. This article talks about how advertising is changing to target the consumer, which is interesting because specific advertisements from “The Egyptian Gazette” were of interest to me, and are probably of interest to you, a concept this article explores.
-
This article focuses on the idea that print advertisement is in fact not dead, but actually extremely effective because our brains work in such a way that makes us better at memorizing print advertisements over digital ones. In terms of “The Egyptian Gazette” this article highlights the effectiveness of the advertisement section to those who read the newspaper in Alexandria and how it could have bolstered consumer activity.
-
This article analyzes the changes in advertising ten years after the release of the iPhone. When looking at the advertisements in “The Egyptian Gazette” in comparison to the advertisements that we interact with in the present day, this article dissects this transition from them to now.
CURIOSITIES
advertisements commercials consumerism


This IPA chart is composed of Unicode characters and is written in valid XHTML/CSS; it is open source software released under the GPL. To easily copy/enter/input/insert/type the IPA characters/symbols/letters/glyphs and diacritics, found in this chart, use the IPA Unicode “Keyboard”, which is built off of this document.
If you are a screen reader user, you may want to use a more accessible version of the chart
| Bilabial | Labiodental | Dental | Alveolar | Postalveolar | Retroflex | Palatal | Velar | Uvular | Pharyngeal | Glottal | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Plosive | p b | t d | ʈ ɖ | c ɟ | k ɡ | q ɢ | ʔ | ||||
| Nasal | m | ɱ | n | ɳ | ɲ | ŋ | ɴ | ||||
| Trill | ʙ | r | ʀ | ||||||||
| Tap or Flap | ⱱ | ɾ | ɽ | ||||||||
| Fricative | ɸ β | f v | θ ð | s z | ʃ ʒ | ʂ ʐ | ç ʝ | x ɣ | χ ʁ | ħ ʕ | h ɦ |
| Lateral fricative | ɬ ɮ | ||||||||||
| Approximant | ʋ | ɹ | ɻ | j | ɰ | ||||||
| Lateral approximant | l | ɭ | ʎ | ʟ |
Where symbols appear in pairs, the one to the right represents a voiced consonant. Shaded areas denote articulations judged impossible.
| Clicks | Voiced implosives | Ejectives | |||
|---|---|---|---|---|---|
| ʘ | Bilabial | ɓ | Bilabial | ʼ | Examples: |
| ǀ | Dental | ɗ | Dental/alveolar | pʼ | Bilabal |
| ǃ | (Post)alveolar | ʄ | Palatal | tʼ | Dental/alveolar |
| ǂ | Palatoalveolar | ɠ | Velar | kʼ | Velar |
| ǁ | Alveolar lateral | ʛ | Uvular | sʼ | Alveolar fricative |
| ʍ | Voiceless labial-velar fricative | ɕ | ʑ | Alveolo-palatal fricatives |
|---|---|---|---|---|
| w | Voiced labial-velar approximant | ɺ | Alveolar lateral flap | |
| ɥ | Voiced labial-palatal approximant | ɧ | Simultaneous ʃ and x | |
| ʜ | Voiceless epiglottal fricative |
k͡p t͜s ◌͡◌ ◌͜◌ Affricates and double articulations can be represented by two symbols joined by a tie bar if necessary. |
||
| ʢ | Voiced epiglottal fricative | |||
| ʡ | Epiglottal plosive |
| ˈ | Primary stress | |
|---|---|---|
| ˌ | Secondary stress | |
| ˌfoʊnəˈtɪʃən | ||
| ː | Long | eː |
| ˑ | Half-long | eˑ |
| ◌̆ | Extra short | ĕ |
| | | Minor (foot) group | |
| ‖ | Major (intonation) group | |
| . | Syllable break | ɹi.ækt |
| ‿ | Linking (absence of a break) |
Diacritics may be placed above a symbol with a descender, e.g. ŋ̊
| ◌̥ | Voiceless | n̥ | d̥ | ◌̤ | Breathy voiced | b̤ | a̤ | ◌̪ | Dental | t̪ | d̪ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ◌̬ | Voiced | s̬ | t̬ | ◌̰ | Creaky voiced | b̰ | a̰ | ◌̺ | Apical | t̺ | d̺ |
| ʰ | Aspirated | tʰ | dʰ | ◌̼ | Linguolabial | t̼ | d̼ | ◌̻ | Laminal | t̻ | d̻ |
| ◌̹ | More rounded | ɔ̹ | ʷ | Labalized | tʷ | dʷ | ◌̃ | Nasalized | ẽ | ||
| ◌̜ | Less rounded | ɔ̜ | ʲ | Palatalized | tʲ | dʲ | ⁿ | Nasal release | dⁿ | ||
| ◌̟ | Advanced | u̟ | ˠ | Velarized | tˠ | dˠ | ˡ | Lateral release | dˡ | ||
| ◌̠ | Retracted | e̠ | ˤ | Pharyngealized | tˤ | dˤ | ◌̚ | No audible release | d̚ | ||
| ◌̈ | Centralized | ë | ◌̴ | Velarized or pharyngealized | ɫ | ||||||
| ◌̽ | Mid-centralized | e̽ | ◌̝ | Raised | e̝ | (ɹ̝ = voiced alveolar fricative) | |||||
| ◌̩ | Syllabic | n̩ | ◌̞ | Lowered | e̞ | (β̞ = voiced bilabial approximant) | |||||
| ◌̯ | Non-syllabic | e̯ | ◌̘ | Advanced Tongue Root | e̘ | ||||||
| ˞ | Rhoticity | ɚ | a˞ | ◌̙ | Retracted Tongue Root | e̙ |
| Level | Contour | ||||||
|---|---|---|---|---|---|---|---|
| e̋ | or | ˥ | Extra high | ě | or | ˩˥ | Rising |
| é | ˦ | High | ê | ˥˩ | Falling | ||
| ē | ˧ | Mid | e᷄ | ˦˥ | High rising | ||
| è | ˨ | Low | e᷅ | ˩˨ | Low rising | ||
| ȅ | ˩ | Extra low | e᷈ | ˧˦˧ | Rising-falling | ||
| ↓ | Downstep | ↗ | Global rise | ||||
| ↑ | Upstep | ↘ | Global fall |


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Spatially referenced data is also known as geospatial data or geographic information.
It is the data or information that identifies the geographic location of features and boundaries on Earth, such as natural or constructed features, oceans, and country boundaries.
A GIS gives you the ability to visualise and analyse spatially referenced data.
A spatially-referenced data set has a spatial component (i.e. coordinates) as well as non-spatial components (text, numeric or binary attributes).
It can be seen as a 'graphically-enriched database' or conversely as 'data-enriched graphics system'. In other words, it combines graphical maps and descriptive data in a very powerful way.
The image below show the same data set represented in a GIS as a map and as a table of attributes.


Ryan Gosling
Rating: 5/5
Feedback: "I love the freedom anywhere fitness gives me. I can workout where I want, when I want, and don't have too worry about getting a bad instructor, because I picked the instructor!"
Brad Pitt
Rating: 4/5
Feedback: "Thank you for making it painless, pleasant and most of all hassle free! Anywhere fitness has got everything I need. I would gladly reccomend anywhere fitness!"
Angelina Jolie
Rating: 3/5
Feedback: "Anywhere Fitness was a great experience for the most part, but I found some instructors to be unreliable and not show much enthusiasm."
Adam Sandler
Rating: 4/5
Feedback: "I just can't get enough of anywhere fitness. I want to get a T-Shirt with personal training on it so I can show it off to everyone."


InfluxDB history adapter settings |
DB settings: | ||
| Host | ||
| Port | ||
| Protocol | ||
| User | ||
| Password | ||
| Password confirm | ||
| DB Name | ||
| Round real to | ||
| Buffer Datapoints | use 0 to not buffer at all | |
| Buffer Flush Interval | Seconds | |
Default settings | ||
| debounce | ||
| log changes interval(s) | 0 = disable | |
| log changes minimal delta | 0 = disable delta check | |
| retention |


Know more about us & our team!
Ambulancers is a digital emergency medical service. We are aiming of digitalizing the emergency services to provide fast and sufficient service and increase the survival rates.
We are providing a mobile application the connects you with doctors who are minutes away from you and ready to move and save with a click of a button.
Check out what you can do with this app!
professional emergency doctors, minutes away from you!
Order the doctor without the need to pass the security of your phone
One Payment covers you all the year around
Extending our coverage areas continuously


View and analyze data on the GFW Interactive Map.
View and analyze data on the GFW Interactive Map.
View country-specific data, analyze forest change within a country or subnational jurisdiction, or view country rankings based on forest statistics.
Browse, learn more about, and download the data displayed on Global Forest Watch.


Early life
Superstar wide receiver Odell Beckham Jr. was born and raised in Baton Rouge, Louisiana. Born with hyper-athletic genes, Odell’s father (Odell Beckham Sr.) was a starting running back at LSU, and his mother (Heather Van Norman) was an All-American track runner at LSU also. Having two great athletes for parents paved the way for Odell to learn firsthand what it would take to be a successful athlete. He attended high school at Isidore Newman in New Orleans where he excelled in football, basketball and track. After four years of standout performance, he became a U.S. Army All-American. Odell soon followed in his parents' footsteps by attending college at Louisiana State University.


Elevate is an interactive and intergallactic learning tool for elementary children to learn math. Elevate uses an Angular.js to dynamically switch between exercise interfaces for the six subjects offered: addition, subtraction, counting, measurements, patterns, and shapes. Children will get immediate feedback for each of their answers. Elevate uses MongoDB to save the number of correct and incorrect responses to provide an overall score for each subject.
Antonio Montalvo
Jake Lee
Katie Witham
Ivette Alvarez


Crio-Winter-Of-Doing
Crio-Winter-Of-Doing
Crio-Winter-Of-Doing
Crio-Winter-Of-Doing
Crio-Winter-Of-Doing
Crio-Winter-Of-Doing
Yoo this is just a trail.


IITK Senate Voting System
Toggle navigation
Add Candidates
Stop Election
Welcome to Senate Voting.
Every vote matters....
Vote
Register
Results
:
Developers :
Abhishek Gupta
Web Designer
Pranjal Jain
Smart Contract
Sanket Bodele
Web3 Interfacing


human proteins receptors membrane virus cell model predicted human-infecting viral protein high receptor used viruses OpenUrl RBP-interacting real alternative features receptorome receptors. interactions number proteins. ranked PPIs based expression expressions studies -nCoV Human Table interaction level rank study ACE Lasso RBPs Wang, candidate database identify previous total CrossRef Lasso’s N-glycosylation Zhang, acids computational developed identification pairs provided shown tissues (version AUC PPI Science View facilitate host learning modeling. models predicting using Based Li, Prediction Previous Zhang amino built common considered degree k-mers modeling obtained package partners percentage prediction proteins, ranking receptors, research virome virome. work (in Combination Figure N-glycosylation, Ryu, Then, Web Wu, Zhu, achieved calculated cells. data distinguish entry extracted frequencies higher identifying interactions. lung machine mastadenovirus model, model. negative node positive random-forest score scores select sites supposed use virus-receptor viruses,


My Music Encoding Project
Project Dataset: Adele
Chroma Features Plot for 4 Songs
Track 0 - Hello
Track 1 - Rolling In The Deep
Track 2 - Set Fire To The Rain
Track 3 - When We Were Young
Chroma Features Graphs at Time 456


{% extends "layout.html" %} {% block body %} Smart Contest Solver Problem Statement Here Code Output Solve {% endblock %}
Problem Statement Here
Code Output


FORTNITE STATS
GAMETAG
PLATFORM
PC
PS4
Xbox One
pc, ps4 or xb1
GO!


The MBS Real Studio XL Plugin is based on LibXL, a powerful library to handle Excel files.
You'll need your own license for LibXL. Order here for Windows, for Linux, for Mac or for enterprises the cross-platform license.
Demo Mode: Unless you have a LibXL license, the plugin will write banner in first row of each spreadsheet and it will be able to read only 100 cells (first row is unavailable).


13. Pesticide Formulations
Insecticides are seldom available in their pure form. The technical grade material or active ingredient is formulated with other components which may increase efficiency, reduce toxicity and improve ease of handling, mixing and application.
Some of the most commonly used pesticide formulations used in urban pest control include:
OIL SOLUTION CONCENTRATES are made by dissolving technical grade material in an oil based solvent. Prior to use, the oil solution concentrate is diluted with another oil based carrier such as dieseline or kerosene by the user to achieve the correct application strength. Oil solutions of an insecticide usually provide faster knockdown and kill, because the solvents often have insecticidal action alone and increase the penetration of the active ingredient into the insects’ cuticle. The disadvantages of oil solution include the high cost of diluent, damage to paints, phytotoxicity (damage to plants), increased odour and fire risk.
EMULSIFIABLE CONCENTRATES (EC) are made up of the technical material, solvent and emulsifiers. These formulations are diluted to application strength in water. The resulting emulsion maintains many of the advantages of oil solution concentrates without many of the disadvantages.
WETTABLE POWDERS (WP) are formulations made by adding the active ingredient to a diluting powder and mixing this with wetting agents and dispersing agents to allow the product to mix readily with water. Wettable powders do not dissolve in water, they form a suspension. How long the product will stay suspended is determined by how finely it is ground.
Suspensions of wettable powders require regular agitation to maintain even mixing and to avoid settling to the bottom of the tank. Wettable powder formulations should be mixed and used freshly to avoid settling and degradation. Remember, a wettable powder formulation is just that, a powder which can be mixed with water to make application easier.
With no solvent the odour associated with wettable powder formulations is far less than E.C. formulations, and is less likely to damage plants, furnishings, paint etc. than E.C. formulation. Lack of solvent also means that wettable powders are slower to be skin absorbed, and they are less flammable.
By virtue of the fact that wettable powders are just that - powders, this formulation will provide improved residual control on porous surfaces because the applied spray after the water or carrier has evaporated, will remain on the surface and will not be absorbed into the material as an E.C. would. Depending on the formulation, some wettable powder formulations can leave visible residue, particularly on dark surfaces.
SUSPENSION CONCENTRATES (SC) formulations are highly refined wettable powder type formulations, in which the product is pre- suspended by the manufacturer in a liquid, usually water based.
Suspension concentrate or flowable wettable powders formulations overcomes many of the negative attributes of wettable powders in terms of mixing and suspensibility while maintaining the advantages of low odour, not absorbed by porous surfaces etc. Two big advantages of suspension concentrates formulations is that they are manufactured as a liquid suspension so that when diluted with water for application, are much less likely to degrade in the spray tank between jobs or overnight and are much easier to resuspend by agitation than W.P. formulations.
WATER SOLUBLE GRANULE (WSG) formulation is another variation of the wettable powders, in which the product is formed into dry granules which can be measured by volume as if it were a liquid. Water soluble granules tend to be highly refined powders which mix easily and stay suspended longer lessening the need for agitation.
WSG formulations tend to have a high concentration of active ingredient which reduces the total volume of products required, and this reduces transport costs and also leads to less visible residue problems after application.
DUST FORMULATIONS are ready-to-use formulations usually manufactured by combining the active ingredient with a dust diluent which is usually inert. The concentration of active ingredient in the dust formulation can vary from almost 100% to quite low concentrations such as Coopex Dust which is 1%.
Some dust diluent used, such as diatomaceous earth and silica aerogel, have dessicant or abrasive properties which assist the active ingredient absorption and efficiency. Inert dust diluents are used to simply ease application and the even distribution of what otherwise would be very small quantities of active ingredient.
Dust formulations have many advantages in being able to provide greater distribution of the active ingredient into voids and cavities. They can also be used to apply insecticide around electrical motors and equipment where liquid application is dangerous.
Dust formulations sit loosely on surfaces and so can be picked up on the bodies of pests passing through the area. This characteristic of dusts or powder is exploited to great effect with the use of tracking powder for rodent control, arsenic dust for subterranean termites control and insecticidal dust for cockroach control.
This characteristic is also a disadvantage in that the product can also become airborne, increasing the risk of human exposure or treatment efficiency reduction respectively. Many dust formulations suffer from visible residue problems. In all respects the application of dust formulations needs to be carefully and skilfully applied to ensure human safety and treatment effectiveness.
BAIT FORMULATIONS consist of the active ingredient mixed with a bait attractant, usually a preferred food of the pest. In recent years, pheromone (sex) attractants have been combined with active ingredient to make baits for many pests.
Baits may take the form of granules, pellets, paste or liquids. They are particularly useful when the pests forage widely and where there is little alternative food. Baits are useful for social insects where the food is collected and shared within the colony.
Food based bait can be a major hazard for non-target animals. Careful placement of baits is essential to ensure they are easily accessible for the target pest, but are not accessible to non target animals.
MICROENCAPSULATED formulations are made by suspending or encasing the pesticide in droplets of a polymer (plastic). The release rate will vary depending on the polymer used, the size of droplets formed and the wall thickness of the droplet.
The controlled release nature of microencapsulated formulations may increase the residual effect, the odour, the speed of action and the health and safety characteristics of the products.
Because polymers are not soluble in water, the formulations are generally suspended in water to form a flowable suspension. The general handling and mixing procedures should be similar to that of wettable powders and suspension concentrates.
AEROSOL formulations are generally packed in ready to use containers. Although “aerosol” strictly means very fine spray droplet, over the years it has become synonymous with pressure pack cans and cylinders. Aerosol formulations are therefore basically a convenient method of application, rather than a formulation as such.
An aerosol ready-to-use formulation is made by mixing and placing the insecticide and carrier and propellant into the application container or pressure pack can. In some cases the carrier and the propellant may be one and the same. For example, Pestigas uses carbon dioxide as the carrier and propellant.
LACQUER formulations are another method to prolong the residual effect of the insecticide. The insecticide is dissolved in the lacquer which is applied by paint brush or spray to surfaces. The lacquer dries, leaving a film through which the insecticide migrates to the surface over a period of time.
The advantage of lacquer formulations is in areas regularly washed, since when the insecticide is washed from the surface of the film, another “bloom” will occur from within the film to replace the insecticide that was removed.


We've recently been getting a few bugs filed on testtools about compatibility with various versions of Python. I really want to support as many versions as I can, but I simply don't have them on my system.
What resources are available to me if I want to set up a Hudson instance or similar that runs testtools tests against Python 2.4, 2.5, 2.6, 2.7, 3.0 and 3.1? A Windows run would also be nice.
I think you basically need to throw tox (http://pypi.python.org/pypi/tox) at the problem and see if it sticks though.


2
Because the blind man came unto him.
3
What could inform thee but that he might grow (in grace)
4
Or take heed and so the reminder might avail him ?
5
As for him who thinketh himself independent,
6
Unto him thou payest regard.
7
Yet it is not thy concern if he grow not (in grace).
8
But as for him who cometh unto thee with earnest purpose
10
From him thou art distracted.
11
Nay, but verily it is an Admonishment,
12
So let whosoever will pay heed to it,
17
Man is (self-)destroyed: how ungrateful!
18
From what thing doth He create him ?
19
From a drop of seed. He createth him and proportioneth him,
20
Then maketh the way easy for him,
21
Then causeth him to die, and burieth him;
22
Then, when He will, He bringeth him again to life.
23
Nay, but (man) hath not done what He commanded him.
25
How We pour water in showers
26
Then split the earth in clefts
27
And cause the grain to grow therein
28
And grapes and green fodder
29
And olive-trees and palm-trees
30
And garden-closes of thick foliage
32
Provision for you and your cattle.
34
On the day when a man fleeth from his brother
35
And his mother and his father
36
And his wife and his children,
37
Every man that day will have concern enough to make him heedless (of others).
38
On that day faces will be bright as dawn,
39
Laughing, rejoicing at good news;
40
And other faces, on that day, with dust upon them,
42
Those are the disbelievers, the wicked.


--- layout: post title: Migrating slave to TokuDB, a use case for QueryScript date: type: post published: false status: draft categories: - MySQL tags: - common_schema - InnoDB - QueryScript - TokuDB meta: _edit_last: '2' author: login: shlomi email<EMAIL_ADDRESS>display_name: shlomi first_name: Shlomi last_name: Noach ---
I'm migrating a slave to TokuDB. That is, converting all InnoDB tables to TokuDB engine.
My reasonings are:
I have a ~1TB worth of InnoDB data. Right now in COMPRESSED format, BLOCK_SIZE=8, which reduces data size by ~50% on disk. This makes for some 480GB of innodb files. Some tables are known to be fragmented. I'm estimating at about 50GB are wasted InnoDB tablespace. So if I optimize my InnoDB tables, I should reduce to ~430GB on disk.
So some tables are very large (larges is 150GB compressed). I won't be converting my entire database all at once or my slave will lose position with master. So, one table at a time, and each ALTER is followed by a recovery time, waiting for slave to catch up.
Scripting this with common_schema's QueryScript is actually a breeze. We need to convert any InnoDB table to TokuDB. starting with the smaller tables and ending with the larger tables. After each ALTER we wait for slave to catch up. Hurray: got the slave_status view to help out with Seconds_behind_master.
Here goes:


Plot which can be easily generated with different numbers of points for benchmarking/profiling and improving performance of dygraphs.
Data to plot:
sinusoid function
random points
Timestamps: aligned unaligned
x-axis type: numeric date/time
Number of points per series (points):
Number of series (series):
Roll period (in points, rollPeriod):
Repetitions (repititions):


Hi, I'm Jonas Emil Nader Atef Abu Nijmeh, years old. This site is still under construction, so everything you see is hardcoded in the sense that it's not generated from a database at this point of time. This site is also based on a bootstrap template.. for my own convenience of course. To get a better view of what kind of information I want to use this site for, look to my xml-project here. That site is purely made with the database and backend in mind, so don't focus too much on the design.. just some fast pure css.
We created an AR game with the focus on etc. We created an AR game with the focus on etc. We created an AR game with the focus on etc. We created an AR game with the focus on etc. We created an AR game with the focus on etc.
We created an AR game with the focus on etc. We created an AR game with the focus on etc. We created an AR game with the focus on etc. We created an AR game with the focus on etc. We created an AR game with the focus on etc.
The study was made by developing a mobile crossbow shooting game using AR and evaluate the implementations of gesture recognition, tactile feedback and sonic feedback, along with the more common visual and touch based modalities within the game.
A trivia game using an open API. A trivia game using an open API. A trivia game using an open API. A trivia game using an open API. A trivia game using an open API. A trivia game using an open API.
During Medias Branschdag 2017 I learned a whole lot about design etc. etc. During Medias Branschdag 2017 I learned a whole lot about design etc. etc. During Medias Branschdag 2017 I learned a whole lot about design etc. etc. During Medias Branschdag 2017 I learned a whole lot about design etc. etc. During Medias Branschdag 2017 I learned a whole lot about design etc. etc.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.


August 20, 2020 - Epidemiological Department,
Okhtyrka City District Department Laboratory.
Gift from the Lozowy Fund: MFP printer
March 25, 2020 - Medical institutions of the
Sumy region. Gifts from the Lozowy Fund: 2,600
surgical masks and 400 rubber gloves (otherwise
unavailable at the time).
October 16, 2019 - Therapeutic department of the
hospital Velyka Pysarivka. Gift from the Lozowy
Fund: Banner “This building is idle due to
corruption”.
June 15, 2019 - General practice and family
medicine Vorozhba. Gift from the Lozowy Fund:
Tonometer.
June 15, 2019 - Medical and obstetrics Station
of Holubivka. Gift from the Lozowy Fund:
Tonometer.
June 15, 2019 - General practice and family
medicine of Shtepivka. Gift from the Lozowy
Fund: Chainsaw “Calm” for wood heating.
June 15, 2019 - General Practice and Family
Medicine Clinic of Ryabushky. Gifts from the
Lozowy Fund: Еonometer, 5 chairs, electric
stove.
June 15, 2019 - Medical and obstetrics Station
of Kalyuzhne. Gifts from the Lozowy Fund:
tonometer, glucometer.
June 15, 2019 - Medical and obstetrics Station
of Kalyuzhne. Gift from the Lozowy Fund:
Glucometer.
June 6, 2019 - Medical and obstetrics Station of
Kuzemyn. Gift from the Lozowy Fund: Computer
laptop.
June 6, 2019 - Medical and obstetrics Station of
Viazove. Gift from the Lozowy Fund: Bicycle.
June 6, 2019 - Medical and obstetrics Station of
Ivanivka. Gifts from the Lozowy Fund: Tripod and
laser printer.
May 28, 2019 - Medical and obstetrics Station of
Bishkin. Gift from the Lozowy Fund: Tonometer.
May 21, 2019 - Medical and obstetrics Station of
Chupakhivka. Gift from the Lozowy Fund: Printer.
May 21, 2019 - Medical and obstetrics Station of
Vasylivka. Gifts from the Lozowy Fund:
Glucometer, first aid kits.
May 21, 2019 - Ambulance of Mykhailivka. Gifts
from the Lozowy Fund: Glucometer, tonometer and
first aid kits.
May 21, 2019 - Medical and obstetrics Station of
Pidoprigory. Gifts from the Lozowy Fund:
Glucometer and first aid kits.
May 21, 2019 - Medical and obstetrics Station of
Pavlenkove. Gifts from the Lozowy Fund:
Tonometer, glucometer.
May 21, 2019 - Medical and obstetrics Station of
Mezhyrych. Gifts from the Lozowy Fund:
Tonometer, first aid kits.
May 21, 2019 - Medical and obstetrics Station of
Kamianka. Gift from the Lozowy Fund: Paramedics
bag, medical supplies.
May 21, 2019 - Medical and obstetrics Station of
Borovenka. Gift from the Lozowy Fund: Paramedics
bag, medical supplies, first aid kit.
May 17, 2019 - General Practice and Family
Medicine Clinic of Khukhra. Gift from the Lozowy
Fund: Paramedics bag with medical supplies,
first aid kit.
1May 17, 2019 - Hospital of Velyka Pysarivka.
Gifts from the Lozowy Fund: 20 blankets, pillows
and blankets.
May 11, 2019 - General Practice and Family
Medicine Clinic of Boromlya. Gift from the
Lozowy Fund: Computer tablet.
May 11, 2019 - Medical and Obstetrics Station of
Zhyhailivka. Gift from the Lozowy Fund: Computer
tablet.
May 11, 2019 - Medical and Obstetrics Station of
Grebenykivka. Gift from the Lozowy Fund: Moped.
May 11, 2019 - General Practice and Family
Medicine Clinic of Grebenykivka. Gift from the
Lozowy Fund: Computer tablet.
April 19, 2019 - General Practice and Family
Medicine Clinic of Budylka. Gifts from the
Lozowy Fund: 2 swaddling tables.
April 15, 2019 - Medical and Obstetrics Station
of Soniachne. Gifts from the Lozowy Fund:
Portable spirograph, derWeoscope.
March 22, 2019 - Medical and Obstetrics Station
of Vilne. Gift from the Lozowy Fund: Computer
laptop.
March 15, 2019 - Psychoneurological Boarding
School of Lebedyn. Gift from the Lozowy Fund:
Computer printer.
November 15, 2018 - Neurological Department,
Okhtyrka Central District Hospital. Gifts from
the Lozowy Fund: Ventilator, oxygen pillows (2
pcs).


|
Contiki 2.5
|
The EEPROM API defines a common interface for EEPROM access on Contiki platforms. More...
Files | |
| file | eeprom.h |
EEPROM functions. | |
Functions | |
| void | eeprom_write (eeprom_addr_t addr, unsigned char *buf, int size) |
| Write a buffer into EEPROM. | |
| void | eeprom_read (eeprom_addr_t addr, unsigned char *buf, int size) |
| Read data from the EEPROM. | |
| void | eeprom_init (void) |
| Initialize the EEPROM module. |
The EEPROM API defines a common interface for EEPROM access on Contiki platforms.
A platform with EEPROM support must implement this API.
| void eeprom_init | ( | void | ) |
| void eeprom_read | ( | unsigned short | addr, |
| unsigned char * | buf, | ||
| int | size | ||
| ) |
Read data from the EEPROM.
This function reads a number of bytes from the specified address in EEPROM and into a buffer in memory.
| addr | The address in EEPROM from which the data should be read. |
| buf | A pointer to the buffer to which the data should be stored. |
| size | The number of bytes to read. |
Definition at line 50 of file eeprom.c.
Referenced by cfs_read().
| void eeprom_write | ( | unsigned short | addr, |
| unsigned char * | buf, | ||
| int | size | ||
| ) |
Write a buffer into EEPROM.
This function writes a buffer of the specified size into EEPROM.
| addr | The address in EEPROM to which the buffer should be written. |
| buf | A pointer to the buffer from which data is to be read. |
| size | The number of bytes to write into EEPROM. |
Definition at line 43 of file eeprom.c.
Referenced by cfs_write().


{% extends base_template|default:"base.html" %} {% load i18n_with_welsh %} {% load static %} {% block page_title %}{% trans "Your Polling Station" %}{% endblock page_title %} {% block content %}
{% trans "Your polling station address should be printed on your polling card, which is delivered by post before an election." %}
{% blocktrans %}Or, you need to contact your council. Residents in {{ postcode }} may be in one of the following council areas:{% endblocktrans %}
{% for council in councils %}


Uses of Package
imagingbook.common.geometry.basic
Package
Description
Fourier descriptors for 2D shape representation and matching.
Implementation of David Lowe's SIFT feature detection scheme.
-
ClassDescriptionEnum type for different pixel neighborhood types to be used for parameter selection.
-
ClassDescriptionEnum type for different pixel neighborhood types to be used for parameter selection.
-
-
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.
-
-
ClassDescriptionEnum type for different pixel neighborhood types to be used for parameter selection.Interface specifying the behavior of simple 2D points.Immutable 2D point implementation with
double
coordinates.Immutable 2D point implementation withint
coordinates.Interface specifying a 2D curve capable of calculating the minimum distance to a given point. -
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.
-
-
-
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.

-
-
-
-
-
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.
-
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.
-
-
ClassDescriptionInterface specifying the behavior of simple 2D points.Immutable 2D point implementation with
int
coordinates.Interface specifying a 2D curve capable of calculating the minimum distance to a given point. -
-
-
ClassDescriptionEnum type for different pixel neighborhood types to be used for parameter selection.
-
-
ClassDescriptionInterface specifying the behavior of simple 2D points.Immutable 2D point implementation with
int
coordinates.Interface specifying a 2D curve capable of calculating the minimum distance to a given point. -
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.
-
ClassDescriptionEnum type for different pixel neighborhood types to be used for parameter selection.Interface specifying the behavior of simple 2D points.Immutable 2D point implementation with
int
coordinates. -
ClassDescriptionInterface specifying the behavior of simple 2D points.Interface specifying a 2D curve capable of calculating the minimum distance to a given point.
-


This sidenav, use it to explore the different categories acitivities. Each event and venue will have a color associated with it and level up your pin, have fun!.
Mon
{{item.monday}}
Tue
{{item.tuesday}}
Wed
{{item.wednesday}}
Thu
{{item.thursday}}
Fri
{{item.friday}}
Sat
{{item.saturday}}
Sun
{{item.sunday}}
You have checked in
Contact {{item.contact}}
Address {{item.address}}
About
{{item.about}}
You have RSVP
Contact {{item.contact}}
Address {{item.address}}
About
{{item.about}}


Please enter bulidng info
Master Bathroom
Hallway Bathroom 1
Hallway Bathroom 2
Kitchen
Living room
Master Bedroom
Guest Bedroom
Extra Bedroom
Hallway
Laundry
Patio
Entrance
Balcony
Contruction
Dinning area
Other


Five teenagers arrested after officers injured in cinema trouble
Emergency services were called to Star City on Saturday evening, following reports of youths with machetes.
Five teenagers, including a 13-year-old girl, have been arrested after seven police officers were injured at a Birmingham cinema.
Police were called to Star City on Saturday evening following reports of youths with machetes.
Two of the weapons were seized, alongside another knife, and seven officers were left with facial injuries, according to West Midlands Police.
A dispersal order was used to clear the group of up to 100.
A 13-year-old girl, a girl and a boy, both aged 14, and a 19-year-old man were held on suspicion of assaulting police.
A 14-year-old boy was arrested on suspicion of obstructing police.
Investigators have asked anyone with any video or pictures of the incident to get in touch.
Superintendent Ian Green said: “This was a major outbreak of trouble which left families who were just trying to enjoy a night-out at the cinema understandably frightened.
“We […] were met with a very hostile response and officers had to draw tasers to restore order.
“It’s clear that some of those who went to Star City last night were intent on causing trouble.”


Those experiences had significant influences on my personality and decisions I made in life. For example, without the Work & Travel year in Australia I probably would have never gotten the idea to study Cartography.


jQuery.pushEvent demo
Press any button
bind click
delegate click
Change event position
click.one click.two click.three click.four, -1
click.one click.two click.three click.four, 0
click.three, 0
click.three, 1
Debug (events position)
bind events:
delegate events:


Demo for hoverontouch.js, an alternative hover plugin for touch devices. It triggers a hover on Taphold & goes to a possible link on Tap. It works with all html elements.
Scroll over this link
Or this link
Read the article by Vinzenz Aubry


Put the numbers in order game
Give it a try, drag the numbers into order!
(numbers go left to right, not up and down)
Play again


This last saturday me and my friend picked 4 leaves off a Belladona plant in my front yard. We boiled this in a pot of boiling water, and made 2 water bottles full. One for each of us. We drank one bottle each. We felt nothing after 30 minutes, i went home, and he remained at his house. I started tripping so hard when i got home, and my blanace was completly off.
This trip was not like acid (i have done acid way over 20 times) and this was to real. I first noticed i was tripping when i went off at the reflection in the mirror cause i didnt know it was me and i thought the person was mocking me. Then i kept putting my hand to my face and acted as i was talking on the phone (and in my mind i was, i heard the other person too) i kept seeing people in my living room, and for some reason there were squirrels everywhere (understand, i did not relaize this was fake, this was completly real in my state of mind) at 3 in the morning, i got a phone call (a real one) from my friend's parents, he was in a coma.
Apparently his parents came home to find him banging his head against the wall (he thought it was his pillow) and they pumped his stomach and he was in a coma until monday. The hallucinations i saw were unreal, but at the same time seemed perfectly real. At one point i called my girlfriend at 4 in the mornin to tell her i just got back from my stepmoms house and i was going back over there (my stepmom lives with me, and i had been no where that night). All in all.. the trip was horrible, too real, too strong. The belladonas i used were a string of plants brought over from Cuba (supposed to be the strongest in the world) the trip lasted 3 days (full affect) and i still do not have my vision back.
My friend is okay now, he stopped tripping yesterday and his vision is pretty bad to. I advise everyone to STAY away from this drug, this can and WILL kill u. if we drank one more sip each we both would have been DEAD. this is not something to fool around with. Be careful if anything (see the DAUTRA list of things to do while ur intoxicated).
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.


Watch: Astronauts Take Complex Spacewalk to Fix Cosmic Ray Detector
by Genevieve ScaranoTwo International Space Station (ISS) astronauts are completing a spacewalk today to fix a dark matter experiment and you can the repair operation live on NASA TV.
At 6:39 a.m. EST, Expedition 61 Commander Luca Parmitano (European Space Agency) and NASA flight engineer Andrew Morgan went outside the space station to replace a cooling system on the Alpha Magnetic Spectrometer (AMS), a cosmic ray detector. This is the first spacewalk in a series of many that will fix the experiment, which was built to find dark matter in space, Space.com noted.
Parmitano is wearing the suit with red stripes and helmet camera No. 11, while Morgan is sporting a suit with no stripes and helmet camera No. 18.
The first spacewalk will involve both astronauts positioning materials, taking out a debris cover on the AMS, and placing handrails in preparation for upcoming spacewalks. The astronauts are expected to complete the tasks in approximately six-and-a-half hours.
According to NASA, AMS is a joint effort between NASA and the Department of Energy’s Office of Science. AMS has been capturing high-energy cosmic rays, so researchers can answer important questions about antimatter, the unseen “dark matter” that makes up most of the mass in the universe and weird dark energy that’s responsible for expanding the cosmos.
NASA has not shared a date for the second AMS repair spacewalk yet.
More on Geek.com:


DA: Police investigating suspicious death of Plymouth woman at Easton home
by EndPlayEASTON, Mass. - Local and State Police are investigating the suspicious death of a 49-year-old Plymouth woman who was found dead in an Easton home Wednesday night, according to a release from the Bristol County District Attorney's Office.
Easton PD found the victim dead at the scene from an apparent gunshot wound when they arrived at the home just before 6:30 p.m. on Wednesday night. Law enforcement responded to a home at 234 Washington Street in the town.
Officials are investigating the incident as a suspicious death. The victim has not been identified yet as police are notifying the deceased's next of kin.
This story is developing and will be updated as more information becomes available.


An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.


First
The
Library
exists
ab
aeterno
This
truth
whose
immediate
corollary
is
the
future
eternity
of
the
world
cannot
be
placed
in
doubt
by
any
reasonable
mind
Man
the
imperfect
librarian
may
be
the
product
of
chance
or
of
malevolent
demiurgi
the
universe
with
its
elegant
endowment
of
shelves
of
enigmatical
volumes
of
inexhaustible
stairways
for
the
traveler
and
latrines
for
the
seated
librarian
can
only
be
the
work
of
a
god
To
perceive
the
distance
between
the
divine
and
the
human
it
is
enough
to
compare
these
crude
wavering
symbols
which
my
fallible
hand
scrawls
on
the
cover
of
a
book
with
the
organic
letters
inside
punctual
delicate
perfectly
black
inimitably
symmetrical
.


This page was written to list the outdoor, indoor, and online activities available to visitors of this Private Island:


{% extends "common/base.html" %} {% block navbar %}{% include "common/navbar.html" %}{% endblock %} {% block content %}
Please enter the 5 digit code you received from the invite.


{% extends 'blogApplication base/base.html' %} {% load static %} {% block title %}
“Don’t focus on having a great blog. Focus on producing a blog that’s great for your readers.”
{{ blog.excerpt }}
Posted on {{ blog.blogDateTime }}
Posted by {{ blog.author.fullname }}


Simplest usage: raw style, auto-detected columns, default attributes
Advanced usage: themed, customized columns, customized attributes, customized event handlers.
Create
Performance Test


(PECL getdns >= 0.11.0)
php_getdns_hostname — Asynchronously retrieve host names given an IP address.
$context
, int $address
, int $extensions
, array $userArg
, mixed &$transID
)This function provides an entry point into the getdns API library to asynchronously retrieve host names given an IPv4 or IPv6 address. See php_getdns_hostname_sync() for a description of the response data structure.
Note that this function enqueues an event that must be processed to produce queries and return results. Calling php_context_run() after calling this function will ensure that all queued events are processed.
context
The previously created DNS context that is to be used with this request.
address
A reference to a dictionary structure containing two names: address_type (whose value is bindata and is either "IPv4" or "IPv6") and address_data (whose value is a binary character string (bindata) representing the address to be resolved).
extensions
The extensions dictionary for this request; NULL or 0 (zero) if no extensions.
userArg
An indexed array that contains information used to control callback processing. The first element of the array must contain a character string representing the name of the PHP client function that will receive and process the result of the DNS query. Additional array elements are optional and may be included to be passed to the callback function. The callback function will receive the complete array for local processing with all elements included as specified.
The callback function should be declared as follows:
function_name($dict, $callbackType, $userArg, $transID) // $dict: An int representing the dictionary containing the response. // $callbackType: The getdns callback type. // $userArg: The original user arguments provided by the caller. // $transID: A 16-character string in hex format that contains the identifier of the transaction being processed.
transID
A 16-character string value in hexadecimal format representing an unsigned 64-bit integer that is filled in by the function to identify the callback being made. This value is passed by reference and any existing value will be overwritten; an empty string ("") is acceptable on input. It can also be NULL, in which case it is ignored and no value is assigned. The php_getdns_cancel_callback() function uses the transID to determine which callback is to be cancelled.
This function returns an integer response code. GETDNS_RETURN_GOOD indicates successful completion.


Marpit is the skinny framework for creating slide deck from Markdown.
You can convert into PDF slide deck through Chrome.


This config file contains information about the names associated with each culture.
| Key | Data Type | Comments |
| Culture | string | A unique identifier used to connect to other files. |
| Male | list(string) | A list of given names for males. Non-binary genders default to a combination of the male and female lists. |
| Female | list(string) | A list of given names for males. |
| Combiner | string | Names are written as given + combiner + family (unless the family names are empty, in which case the combiner is omitted). Spaces must be explicitly included. Can be an empty string "". |
| Family | list(string) | Possible family names. |
| Base | string | Not currently used; can be empty. I keep track of which language the names for each culture came from for my own purposes. |
Data types are set out in italics like string. The relevant data types are:
| Data Type | Meaning | Example |
| list(type) | A comma separated list of that data type. Lists start and end with square brackets. | ["item 1", "item 2"]; [1, 2, 3, 4] |
| string | A double-quoted piece of information that can contain any UTF-8 character. | "a value" |
| int | A whole number, written without quotes. If the range is limited, it's noted as start ≤ int ≤ stop (including both endpoints) | 42 |
| decimal | A number with a decimal point. In this app, that will always be in the range 0.0 ≤ x ≤ 1.0 and will mean a probability of occurance. | 0.5 |
| {string : type} | A mapping between a string (the key) and a value of type. Written as a comma-separated list of "key":value, enclosed in curly braces. The colon is important. | {"This": 1, "That": 2} |


remote-works is a Progressive Web App (PWA), which is opensource and customizable.
It is modular, high performance remote workplace platform built with GraphQL, Django, and ReactJS.
Have a look at our repository:
https://github.com/tetyanaloskutova/remote-works
It is a customizable open marketplace where employers and job-seekers can find each other, securely engage, and process the payment.
Features
- PWA: Employees can register their profiles and skills. Employers can choose the skills they need.
- GraphQL API: Access all data from any web or mobile client using the latest technology
- Open workplace: Build mobile apps and hiring web apps
- UX and UI: Designed for a user experience that rivals even the top commercial platforms
- Dashboard: Administrators have total control of users, processes and companies
- Payments: Flexible API architecture allows integration of any payment method. Comes with Braintree support out of the box.
- Geo-adaptive: Automatic localized pricing. Over 20 local languages. Localized checkout experience by country.
- Cloud: Optimized for deployments using Docker
- Analytics: Server-side Google Analytics to report e-commerce metrics without affecting privacy
Remote-works is open-source. If you love open-source and great software, give us a star! 🌟
Installation
Remote-works requires Python 3.5+, Node.js 10.0+, PostgreSQL and OS-specific dependency tools.
Readme in the repository includes installation instructions and a button to deploy on Heroku.
Demo
Demo installation is planned on demo.remote-works.online
Contributing and feedback
We'd love to hear what you think, what you find good and bad and we'd love to have you onboard contributing. The best way to engage with the feedback is to create an issue in our repository. If you want to engage on a more permanent basis or have something to discuss, please drop us an email.
License
Disclaimer: Everything you see here is open and free to use as long as you comply with the license. There are no hidden charges. We promise to do our best to fix bugs and improve the code.
Some situations do call for extra code; we can cover exotic use cases or build you a custom e-commerce appliance.
info@remote-works.online


In this engieneering class, we learned how to
design and adjust logos utilizing corel's drawing software.
We then took these designs and we implemented these skills
by using a laser cutter to bring our designs into real life.
we also made stickers for our chromebooks, using a vinel
cutter to bring other designs to life


ansi-styles
ANSI escape codes for styling strings in the terminal
You probably want the higher-level chalk module for styling your strings.
Install
$ npm install --save ansi-styles
Usage
var ansi = require('ansi-styles');
console.log(ansi.green.open + 'Hello world!' + ansi.green.close);
API
Each style has an open
and close
property.
Styles
Modifiers
reset
bold
dim
italic
(not widely supported)underline
inverse
hidden
strikethrough
(not widely supported)
Colors
black
red
green
yellow
blue
magenta
cyan
white
gray
Background colors
bgBlack
bgRed
bgGreen
bgYellow
bgBlue
bgMagenta
bgCyan
bgWhite
Advanced usage
By default you get a map of styles, but the styles are also available as groups. They are non-enumerable so they don't show up unless you access them explicitly. This makes it easier to expose only a subset in a higher-level module.
ansi.modifiers
ansi.colors
ansi.bgColors
Example
console.log(ansi.colors.green.open);
License
MIT © Sindre Sorhus


Except where otherwise noted, the contents of this document are
Copyright 2019 Scott Uk-Jin Lee and Ahn YounGeun.
All rights reserved.
Any redistribution, reproduction, transmission, or storage of part
or all of the contents in any form is prohibited without the author's
expressed written permission.
Version
Start a project.
New repository.
git init
git config user.name "Your Name"
git config user.email<EMAIL_ADDRESS>(No double quotes!)git remote add origin https://github.com/...
git pull origin master
git add *
git commit -m "Describe how code is changed ..."
git pull origin master
git push origin master
Win+R -> cmd
Start Servers.
localhost
or <IP_ADDRESS>
in address.mysql -uroot -proot
in Terminal.


Fetching records from Firebase, with a Database that is able to process the specific Firestore requirements, and a DataSource that reacts to different UI observables like the filter and paginator. The concepts are illustrated in this article at Medium.


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Michael duPont - CodeCamp 2017
The first thing we need to do is pick out faces from a larger image. Because the model for this is not user or case specific, we can use an existing model, load it with OpenCV, and tune the hyperparameters instead of building one from scratch, which we will have to do later.
import cv2
import numpy as np
CASCADE = cv2.CascadeClassifier('findme/haar_cc_front_face.xml')
def find_faces(img: np.ndarray, sf=1.16, mn=5) -> np.array([[int]]):
"""Returns a list of bounding boxes for every face found in an image"""
return CASCADE.detectMultiScale(
cv2.cvtColor(img, cv2.COLOR_RGB2GRAY),
scaleFactor=sf,
minNeighbors=mn,
minSize=(45, 45),
flags=cv2.CASCADE_SCALE_IMAGE
)
That's really all we need. Now let's test it by drawing rectangles around a few images of groups. Here's one example:
import matplotlib.pyplot as plt
from matplotlib.image import imread, imsave
%matplotlib inline
plt.imshow(imread('test_imgs/initial/group0.jpg'))
from glob import glob
def draw_boxes(bboxes: [[int]], img: 'np.array', line_width: int=2) -> 'np.array':
"""Returns an image array with the bounding boxes drawn around potential faces"""
for x, y, w, h in bboxes:
cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), line_width)
return img
#Find faces for each test image
for fname in glob('test_imgs/initial/group*.jpg'):
img = imread(fname)
bboxes = find_faces(img)
print(bboxes)
imsave(fname.replace('initial', 'find_faces'), draw_boxes(bboxes, img))
plt.imshow(imread('test_imgs/find_faces/group0.jpg'))
#Creates cropped faces for imgs matching 'test_imgs/group*.jpg'
def crop(img: np.ndarray, x: int, y: int, width: int, height: int) -> np.ndarray:
"""Returns an image cropped to a given bounding box of top-left coords, width, and height"""
return img[y:y+height, x:x+width]
def pull_faces(glob_in: str, path_out: str) -> int:
"""Pulls faces out of images found in glob_in and saves them as path_out
Returns the total number of faces found
"""
i = 0
for fname in glob(glob_in):
print(fname)
img = imread(fname)
bboxes = find_faces(img)
for bbox in bboxes:
cropped = crop(img, *bbox)
imsave(path_out.format(i), cropped)
i += 1
return i
found = pull_faces('test_imgs/initial/group*.jpg', 'test_imgs/corpus/face{}.jpg')
print('Total number of base corpus faces found:', found)
plt.imshow(imread('test_imgs/corpus/face0.jpg'))
Now that we have some faces to work with, let's save them to a pickle file for use later on.
from pickle import dump
#Creates base_corpus.pkl from face imgs in test_imgs/corpus
imgs = [imread(fname) for fname in glob('test_imgs/corpus/face*.jpg')]
dump(imgs, open('findme/base_corpus.pkl', 'wb'))
Now we need to add our target data. Since this is going to power a personal project, I'm going to train it to recognize my face. Other than adding some new images, we can reuse the code from before but just supplying a different glob string.
found = pull_faces('test_imgs/initial/me*.jpg', 'test_imgs/corpus/me{}.jpg')
print('Total number of target faces found:', found)
plt.imshow(imread('test_imgs/corpus/me0.jpg'))
That was easy enough. In order to have a large enough corpus of target faces, I included pictures of myself with other people and deleted their faces after the code block ran. It ended up having eleven target faces.
Now that we have our faces, we need to create the features and labels that will be used to train our facial recognition model. We've already classified our data based on the face's filename; all we need to do is assign a 1 or 0 to each group for our labels. We'll also need to scale each image to a standard size. Thankfully the output for each bounding box is a square, so we don't have to worry about introducing distortions.
#Load the two sets of images
from pickle import load
notme = load(open('findme/base_corpus.pkl', 'rb'))
me = [imread(fname) for fname in glob('test_imgs/corpus/me*.jpg')]
#Create features and labels
features = notme + me
labels = [0] * len(notme) + [1] * len(me)
#Preprocess images for the model
def preprocess(img: np.ndarray) -> np.ndarray:
"""Resizes a given image and remove alpha channel"""
img = cv2.resize(img, (45, 45), interpolation=cv2.INTER_AREA)[:,:,:3]
return img
features = [preprocess(face) for face in features]
Simple enough. Let's do a quick check before shuffling. The first image should be part of the base corpus:
print('Is the target:', labels[0] == 1)
plt.imshow(features[0], cmap='gray')
And the last image should be of the target:
print('Is the target:', labels[-1] == 1)
plt.imshow(features[-1], cmap='gray')
Looks good. Let's create a quick data and file checkpoint. This means we'll be able to load the file in from this point on without having to run most of the above code.
#Convert into numpy arrays
features = np.array(features)
labels = np.array(labels)
dump(features, open('test_imgs/features.pkl', 'wb'))
dump(labels, open('test_imgs/labels.pkl', 'wb'))
The notebook can be run from scratch from this point onward.
# DATA/FILE CHECKPOINT
from pickle import load
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import imread, imsave
%matplotlib inline
from findme.imageutil import crop, draw_boxes, preprocess
from findme.models import find_faces
features = load(open('findme/features.pkl', 'rb'))
labels = load(open('findme/labels.pkl', 'rb'))
features = features[-24:]
labels = labels[-24:]
That's it for our data. You'll notice that we only loaded a subset of our dataset. This ensures that the number of target and non-target images matches, which leads to a better model even though it has less data overall. We'll split our data in the next section.
We've already created all of our data. Now for the model we're going to train. First, we need to convert our labels to one-hot encoding for use in the model. This means our output layer will have two nodes: True and False.
from sklearn.preprocessing import OneHotEncoder
enc = OneHotEncoder()
labels = enc.fit_transform(labels.reshape(-1, 1)).toarray()
print('Not target label:', labels[0])
print('Is target label:', labels[-1])
Now we need to define our model architecture one layer at a time. We'll create three convolutional layers, two fully-connected layers, and the output layer.
from keras.layers import Activation, Convolution2D, Dense, Dropout, Flatten, MaxPooling2D
from keras.metrics import binary_accuracy
from keras.models import Sequential
SHAPE = features[0].shape
NB_FILTER = 16
def make_model() -> Sequential:
"""Create a Sequential Keras model to boolean classify faces"""
model = Sequential()
#First Convolution
model.add(Convolution2D(NB_FILTER, (3, 3), input_shape=SHAPE))
model.add(Activation('relu'))
model.add(MaxPooling2D())
model.add(Dropout(0.1))
# Second Convolution
model.add(Convolution2D(NB_FILTER*2, (2, 2)))
model.add(Activation('relu'))
model.add(MaxPooling2D())
model.add(Dropout(0.2))
# Third Convolution
model.add(Convolution2D(NB_FILTER*4, (2, 2)))
model.add(Activation('relu'))
model.add(MaxPooling2D())
model.add(Dropout(0.3))
# Flatten for Fully Connected
model.add(Flatten())
# First Fully Connected
model.add(Dense(1024))
model.add(Activation('relu'))
model.add(Dropout(0.4))
# Second Fully Connected
model.add(Dense(1024))
model.add(Activation('relu'))
model.add(Dropout(0.5))
# Output
model.add(Dense(2))
model.compile(loss = 'mean_squared_error', optimizer = 'rmsprop', metrics=[binary_accuracy])
return model
print(make_model().summary())
Now we need to train the model. Even though we have a large model in terms of its parameters, we can still let the model train for many epochs because our feature set is so small. On a MacBook Air, it takes around 30 seconds to train the model with 500 epochs. To save space, I've disabled the full training printout that Keras provides, but you can watch the accuracy progress yourself by changing verbose
from 0
to 1
.
We also need to shuffle our data because feeding all of the non-target and target faces into the model in order will lead to a biased model. Scikit-Learn has a convenient function to do this for us. Rather than just calling random, this function preserves the relationship between the feature and label indexes.
from keras.wrappers.scikit_learn import KerasClassifier
from sklearn.utils import shuffle
model = KerasClassifier(build_fn=make_model, epochs=500, batch_size=len(labels), verbose=0)
X, Y = shuffle(features, labels, random_state=42)
model.fit(X, Y)
Let's quickly see how well it trained to the given data. Because the dataset is so small, we didn't want to keep any for a test or validation set. We'll test it on a new image later.
preds = model.predict(features)
print('Non-target faces predicted correctly:', np.all(preds[:12] == 0))
print('Non-target faces predicted correctly:', np.all(preds[-12:] == 1))
That's it. While Keras has its own mechanisms for training and validating models, we're using a wrapper around our Keras model so it conforms to the Scikit-Learn model API. We can use fit
and predict
when working with the model in our code, and it let's us train and use our model with the other helper modules sk-learn provides. For example, we could have evaluated the model using StratifiedKFold and cross_val_score which would look like this:
from keras.wrappers.scikit_learn import KerasClassifier
from sklearn.model_selection import StratifiedKFold, cross_val_score
model = KerasClassifier(build_fn=make_model, epochs=5, batch_size=len(labels), verbose=0)
# evaluate using 10-fold cross validation
kfold = StratifiedKFold(n_splits=3, shuffle=True, random_state=42)
result = cross_val_score(model, features, labels, cv=kfold)
print(result.mean())
This method allows us to determine how effective our model is but does not return a trained model for us to use.
Lastly, let's create a single function that takes in an image and returns if the target was found and where.
First we'll load in our test image. Keep in mind that the model we just trained has never seen this image before and it contains multiple people (and a manatee statue).
test_img = imread('test_imgs/evaluate/me1.jpg')
plt.imshow(test_img)
Now for the function itself. Because we've already made function around the core parts of our data pipeline, this function is going to be incredibly short yet powerful.
def target_in_img(img: np.ndarray) -> (bool, np.array([int])):
"""Returns whether the target is in a given image and where"""
for bbox in find_faces(img):
face = preprocess(crop(img, *bbox))
if model.predict(np.array([face])) == 1:
return True, bbox
return False, None
Yeah. That's it. Let's break down the steps:
find_faces
returns a list of bounding boxes containing facesmodel
predicts whether the face is or is not the targetpred == 1
), return True and the current bounding boxNow let's test it. If it works properly, we should see a bounding bx appear around the target's face.
found, bbox = target_in_img(test_img)
print('Target face found in test image:', found)
if found:
plt.imshow(draw_boxes([bbox], test_img, line_width=20))
We're finally done.


|
Steam Audio API
2.0-beta.18
|
Functions for baking sound propagation information into acoustic probes. More...
Data Structures | |
| struct | IPLBakingSettings |
| Specifies the kind of acoustic responses to save in the baked data. More... | |
Typedefs | |
| typedef void(* | IPLBakeProgressCallback) (IPLfloat32 progress) |
A callback that is called to update the application on the progress of the iplBakeReverb or iplBakePropagation functions. More... | |
Functions | |
| IPLAPI IPLvoid | iplBakeReverb (IPLhandle environment, IPLhandle probeBox, IPLBakingSettings bakingSettings, IPLBakeProgressCallback progressCallback) |
| Bakes reverb at all probes in a Probe Box. More... | |
| IPLAPI IPLvoid | iplBakePropagation (IPLhandle environment, IPLhandle probeBox, IPLSphere sourceInfluence, IPLBakedDataIdentifier sourceIdentifier, IPLBakingSettings bakingSettings, IPLBakeProgressCallback progressCallback) |
| Bakes propagation effects from a specified source to all probes in a Probe Box. More... | |
| IPLAPI IPLvoid | iplBakeStaticListener (IPLhandle environment, IPLhandle probeBox, IPLSphere listenerInfluence, IPLBakedDataIdentifier listenerIdentifier, IPLBakingSettings bakingSettings, IPLBakeProgressCallback progressCallback) |
| Bakes propagation effects from all probes in a Probe Box to a specified listener. More... | |
| IPLAPI IPLvoid | iplCancelBake () |
| Cancels any bake operations that may be in progress. More... | |
| IPLAPI IPLvoid | iplDeleteBakedDataByIdentifier (IPLhandle probeBox, IPLBakedDataIdentifier identifier) |
| Deletes all baked data in a Probe Box that is associated with a given source. More... | |
| IPLAPI IPLint32 | iplGetBakedDataSizeByIdentifier (IPLhandle probeBox, IPLBakedDataIdentifier identifier) |
| Returns the size (in bytes) of the baked data stored in a Probe Box corresponding to a given source. More... | |
Functions for baking sound propagation information into acoustic probes.
Baking allows detailed acoustic responses to be calculated at design time (just like precomputed lighting), resulting in higher quality sound propagation effects, reduced CPU usage, but increased memory and disk space usage. Phonon lets you bake parametric or convolution reverb at each probe, as well as source-to-listener sound propagation effects from various sources.
| typedef void(* IPLBakeProgressCallback) (IPLfloat32 progress) |
A callback that is called to update the application on the progress of the iplBakeReverb
or iplBakePropagation
functions.
You can use this to provide visual feedback to the user, like a progress bar.
| progress | Fraction of the baking process that has been completed, between 0.0 and 1.0. |
| IPLAPI IPLvoid iplBakeReverb | ( | IPLhandle | environment, |
| IPLhandle | probeBox, | ||
| IPLBakingSettings | bakingSettings, | ||
| IPLBakeProgressCallback | progressCallback | ||
| ) |
Bakes reverb at all probes in a Probe Box.
Phonon defines reverb as the indirect sound received at a probe when a source is placed at the probe's location. This is a time-consuming operation, and should typically be called from the game engine's editor. The numThreads
set on the IPLSimulationSettings
structure passed when calling iplCreateEnvironment
to create the Environment object are used for multi-threaded baking.
| environment | Handle to an Environment object. |
| probeBox | Handle to the Probe Box containing the probes for which to bake reverb. |
| bakingSettings | The kind of acoustic responses to bake. |
| progressCallback | Pointer to a function that reports the percentage of this function's work that has been completed. May be NULL . |
| IPLAPI IPLvoid iplBakePropagation | ( | IPLhandle | environment, |
| IPLhandle | probeBox, | ||
| IPLSphere | sourceInfluence, | ||
| IPLBakedDataIdentifier | sourceIdentifier, | ||
| IPLBakingSettings | bakingSettings, | ||
| IPLBakeProgressCallback | progressCallback | ||
| ) |
Bakes propagation effects from a specified source to all probes in a Probe Box.
Sources are defined in terms of a position and a sphere of influence; all probes in the Probe Box that lie within the sphere of influence are processed by this function. This is a time-consuming operation, and should typically be called from the game engine's editor. The numThreads
set on the IPLSimulationSettings
structure passed when calling iplCreateEnvironment
to create the Environment object are used for multi-threaded baking.
| environment | Handle to an Environment object. |
| probeBox | Handle to the Probe Box containing the probes for which to bake reverb. |
| sourceInfluence | Sphere defined by the source position (at its center) and its radius of influence. |
| sourceIdentifier | Identifier of the source. At run-time, a Convolution Effect object can use this identifier to look up the correct impulse response information. |
| bakingSettings | The kind of acoustic responses to bake. |
| progressCallback | Pointer to a function that reports the percentage of this function's work that has been completed. May be NULL . |
| IPLAPI IPLvoid iplBakeStaticListener | ( | IPLhandle | environment, |
| IPLhandle | probeBox, | ||
| IPLSphere | listenerInfluence, | ||
| IPLBakedDataIdentifier | listenerIdentifier, | ||
| IPLBakingSettings | bakingSettings, | ||
| IPLBakeProgressCallback | progressCallback | ||
| ) |
Bakes propagation effects from all probes in a Probe Box to a specified listener.
Listeners are defined solely by their position; their orientation may freely change at run-time. This is a time-consuming operation, and should typically be called from the game engine's editor. The numThreads
set on the IPLSimulationSettings
structure passed when calling iplCreateEnvironment
to create the Environment object are used for multi-threaded baking.
| environment | Handle to an Environment object. |
| probeBox | Handle to the Probe Box containing the probes for which to bake reverb. |
| listenerInfluence | Position and influence radius of the listener. |
| listenerIdentifier | Identifier of the listener. At run-time, a Convolution Effect object can use this identifier to look up the correct impulse response information. |
| bakingSettings | The kind of acoustic responses to bake. |
| progressCallback | Pointer to a function that reports the percentage of this function's work that has been completed. May be NULL . |
| IPLAPI IPLvoid iplCancelBake | ( | ) |
Cancels any bake operations that may be in progress.
Typically, an application will call iplBakeReverb
or iplBakePropagation
in a separate thread from the editor's GUI thread, to keep the GUI responsive. This function can be called from the GUI thread to safely and prematurely terminate execution of any of these functions.
| IPLAPI IPLvoid iplDeleteBakedDataByIdentifier | ( | IPLhandle | probeBox, |
| IPLBakedDataIdentifier | identifier | ||
| ) |
Deletes all baked data in a Probe Box that is associated with a given source.
If no such baked data exists, this function does nothing.
| probeBox | Handle to a Probe Box object. |
| identifier | Identifier of the source whose baked data is to be deleted. |
| IPLAPI IPLint32 iplGetBakedDataSizeByIdentifier | ( | IPLhandle | probeBox, |
| IPLBakedDataIdentifier | identifier | ||
| ) |
Returns the size (in bytes) of the baked data stored in a Probe Box corresponding to a given source.
This is useful for displaying statistics in the editor's GUI.
| probeBox | Handle to a Probe Box object. |
| identifier | Identifier of the source whose baked data size is to be returned. |


We are a team of ambitious developers looking for our next challenge.
Coding is our ambition and we would love to share it with the world. Check out our previous projects and visit us often as our list continues to grow.


[PART VI. MISCELLANEOUS PROVISIONS]
Revision Note
Part heading added by revisor.
§149A-52 Severability. If any provision of this chapter is declared unconstitutional, or the applicability thereof to any person or circumstance is held invalid, the constitutionality of the remainder of this chapter and applicability thereof to other persons and circumstances shall not be affected. [L 1972, c 58, pt of §1; HRS §149A-42; ren L 1975, c 126, pt of §1]


---
layout: page
title: work
---
{% for type in site.data.contentful.spaces.kittymay.workType %}
for {{ type.title | downcase }}:
{{ type.description | markdownify }}
topics include:
{% for topic in type.topics %}
- {{ topic }}
{% endfor %}
{% endfor %}


'Bicentennial Man' (1999)
A movie review by Walter Frith
<EMAIL_ADDRESS>Member of the 'Online Film Critics Society' http://www.ofcs.org
'Bicentennial Man' is a test for ourselves and our attitudes. It is a test aimed at our degree of cynicism. How, in the age of ever increasing resentment towards many things social, can we ever like a film that reaches out and asks us to look at the world through the eyes of a machine? Not to draw a direct comparison, but 'Bicentennial Man' had that strange flavour a la 'Forrest Gump' where the world is viewed sometimes in a misunderstood way by those unfamiliar with its realities. What 'Bicentennial Man' does is it takes this premise one step forward and instead of using human eyes, the eyes and functions of a robot get to see it for two hundred years. Oh, how many of us would like to see the world two centuries from now. A cure for cancer? AIDS? Gasoline in cars? A cashless society? People living on other planets? Day trips to the moon? The next two top 100 lists from the American Film Institute of the greatest films of their given century? Seriously, 'Bicentennial Man' mixes elements of innocence and technology nicely to give the film a smooth texture and never tries to answer questions of society's progress a whole lot but concentrates on how one entity progresses and watches those around him go from one generation to the next.
Chris Columbus is an interesting director. If he had been around twenty five or thirty years ago, I can see him having directed a lot of Disney 'B' fare. Perhaps those rascally 'Herbie the Love Bug' films or those cheesy but entertaining films with a young Kurt Russell.  In this generation, Columbus has made the first two 'Home Alone' movies, a gem of a forgotten movie, 'Only the Lonely' with the late great John Candy, 'Mrs. Doubtfire' and a real sappy letdown entitled 'Stepmom' which was a film better suited for the likes of Garry Marshall.
Beginning in the year 2005, Robin Williams is the voice of a robot named Andrew brought home to a family by the patriarch whom Andrew refers to as 'Sir' (Sam Neill). There is the lady of the house (Wendy Crewson) and, of course, you have to have children in a Chris Columbus movie. The youngest daughter, Little Miss (Hallie Kate Eisenberg) is the focus of Andrew's curiosity as he tries to learn about human behaviour. One day after a slight malfunction, Sir takes Andrew to be repaired. His strange, human like attributes are explained to the manufacturer (he would love to manufacture many Andrews like this), but Sir makes Andrew tamper proof and many years later, Andrew runs into Rupert Burns (Oliver Platt), the manufacturer's successor, who is also a relative, and slowly, Andrew is given body parts that make him more and more human. All the while, Andrew remains faithful to Little Miss, now a grown woman (Embeth Davidtz). Williams makes his debut in the movie about forty five minutes into the film as a human like character and his presence is a welcomed one as he continues his journey and has many visions of life in the two hundred years that he lives.
Chris Columbus keeps the film on target and maintains a low key approach to the material. It feels like a quiet evening spent at home with family and/or friends doing something docile like playing cards, reading poetry or playing a board game. The film has no loud explosions, foul language, major bursts of emotion and is good family material most of the time.
The film is based on the short story by Issac Asimov and the novel 'The Positronic Man' by Issac Asimov and Robert Silverburg with a screenplay written for the screen by Nicholas Kazan ('Reversal of Fortune'). Kazan brings up memories of some very familiar films such as 'Forrest Gump', as I mentioned earlier, Woody Allen's 'Sleeper' and a few other films that you can see for yourself. This hurts the film somewhat but the direction it dec ides to take compensates for this somewhat.
When Robin Williams first landed in movies back in the late seventies and early eighties, I never thought he would elevate himself to the position he has today. An Oscar winning actor with an impressive list of important social films like 'The Fisher King', 'Dead Poets Society' and 'Good Will Hunting'. He makes films for the serious, the not so serious and the downright whimsical. Even a guest spot of television's 'Homicide' is something over looked by a lot of people as the measure of just how good Robin Williams can be. With the success of 'Apollo 13', Tom Hanks went on to involve himself with a study of the space program with the series entitled 'From the Earth to the Moon'. I would like to see Robin Williams dive into something close to his heart. Perhaps host a documentary of some of pop culture's greatest comedians or star in a bio pick of a real life comedian, something that would gain him even more respect than he's already earned from playing real life characters in films like 'Patch Adams' and 'Awakenings'.
OUT OF 5 > * * * 1/2
Visit FILM FOLLOW-UP by Walter Frith http://www.cgocable.net/~wfrith/movies.htm
* * * * * - a must see * * * * 1/2 - don't miss it * * * * - an excellent film * * * 1/2 - a marginal recommendation * * * - can't quite recommend it * * 1/2 - don't recommend it * * - avoid it * 1/2 - avoid it seriously * - avoid it AT ALL COSTS 1/2 - see it at your own risk zero - may be hazardous to your health
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


About Me
Hello! I am a (soon to be) Full-Stack Web Developer originally from North Carolina, now located in California.
I obtained a Bachelor's Degree in Business Administration from North Carolina State University and received my
Full-Stack Web Development education from UC Berkeley.
I am an avid outdoors person and love to design applications that have a positive impact on the World we live in!


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Another (long-term) project I am working on explores the idea of creating tools that allow one to visualize an idea or problem as a set of connected nodes (aka "graph"). Editing and persisting data is also very important, so this is an example of how it might be done.
Click on a node to view it and edit the content. Click again to see that it was updated.


Time
WPM
Misstrokes
Last streak
Best streak
Part of the
Open Steno Project
.
Image of
plover (
Charadrius melodus
)
© Mdf;
licenced as
cc-by-sa
.


Caution! This software is still in a beta phase and may be buggy. Procede with caution. Your Knox instance might go up in flames!
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Unable to get JSON topology
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Knox Version
Knox Version and Hash Here


Version 0.4
The first part of this document describes the JSON structures for the jacket’s plans and phases. The second part describes the protocol elements that are exchanged between an app and the jacket (and vice versa).
The following general rules and restrictions apply:
The schema of a training plan:
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| na | String | Yes | empty string | The name of the plan. |
| ph | List of Phase descriptions | No | - | Ordered list of phases (sb). |
| it | Integer | Yes | 1 | Number of repetitions of a plan. 0 = forever |
The schema of a single phase definition:
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| na | String | Yes | empty string | The name of the phase. |
| co | String, color definition | Yes | “n” | The name of a color (sb). |
| bd | String, blink direction | Yes | “f” | The name of a blink direction (sb). |
| du | Long integer | No | - | Duration of the phase in ms. |
| bi | Long integer | Yes | value of du | Blink interval in ms. |
| in | Long integer | Yes | - | Intensity, e.g. for Trainings. The jacket will ignore this field. |
The following abbreviated values define color values:
| Value | Color |
|---|---|
| r | Red |
| y | Yellow |
| g | Green |
| b | Blue |
| n | No color, off |
The following abbreviated values define blink behaviours:
| Value | Blink Meaning |
|---|---|
| f | Forward |
| r | Reverse, backward |
| s | Static |
| b | Blink |
TODO The options of this table need to be aligned with the use cases.
The following example shows a plan and its phases.
{
"na":"Testplan",
"ph":[
{
"na":"red",
"co":"r",
"bd":"f",
"bi":500,
"du":5000
},
{
"co":"y",
"bi":200,
"du":5000
},
{
"co":"g",
"bi":100,
"du":5000
},
{
"co":"b",
"bi":50,
"du":5000
},
{
"du":5000
}
],
"it":0
}
The definitions in this section specify the protocol elements for the BLE communication between an app and a jacket. Every command and answer is sent in a single BLE datagram.
Commands Overview
| Command | Description |
|---|---|
| npl | Load Plan into Jacket |
| spl | Start Plan in Jacket |
| sph | Load and Start a Phase |
| stp | Stop a Plan |
| pse | Pause a Plan |
| prv | Start Previous Phase |
| nxt | Start Next Phase |
| rst | Reset the Jacket |
Signals Overview
| Signal | Description |
|---|---|
| eopl | Signal End of Plan |
| eoph | Signal End of Phase |
| btn | Signal Button Press |
| bat | Signal Battery Level |
This JSON structure defines the protocol element to load a plan into a jacket. The plan is not started. It is send from an application to the jacket.
If successfully transmitted and processed by the jacket, the plan replaces an exsisting plan in the jacket.
If the jacket is currently executing a plan, that plan is stopped.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “npl”. |
| pl | JSON Structure | No | - | A plan as defined above. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to start a previously loaded plan into a jacket. This command, when given without a plan description, also unpauses a previously paused (not stopped!) plan (Pause a Plan).
Optionally, a plan can be transmitted together with this command. See the description above (Load Plan into Jacket).
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “spl”. |
| pl | JSON Structure | Yes | - | A plan as defined above. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to load into a jacket and start it. The jacket handles the loading of a phase as a plan with a single phase and with no repetition.
If successfully transmitted and processed by the jacket, the phase replaces an exsisting running phase in the jacket.
If the jacket is currently executing a phase, that phase is stopped.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “sph”. |
| ph | JSON Structure | No | - | A single phase as defined above. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to stop a running plan. When started again (see Start Plan in Jacket) the plan starts from the beginning.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “stp”. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to pause a running plan. When started again (see Start Plan in Jacket) the plan starts where it was paused.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “pse”. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to stop the current and activate the previous phase. If there is no previous phase then this command is ignored.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “prv”. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to stop the current and activate the next phase. If there is no next phase then this command is ignored.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “nxt”. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to reset a jacket to an initial state. This includes stopping and removing all phases and plans, setting the LEDs to off-state, etc.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| co | String | No | - | The command. Must be “rst”. |
If successful the jacket MUST answer with a positive acknowledge, otherwise with a negative response (s.b.).
This JSON structure defines the protocol element to signal the end of a plan from the jacket to an app.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| si | String | No | - | The signal. Must be “eopl”. |
Sending this protocol element DOES NOT require an answer from the receiving app.
This JSON structure defines the protocol element to signal the end of a phase from the jacket to an app.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| si | String | No | - | The signal. Must be “eoph”. |
Sending this protocol element DOES NOT require an answer from the receiving app.
This JSON structure defines the protocol element to signal the press of a button / a button event from the jacket to an app.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| si | String | No | - | The signal. Must be “btn”. |
| bt | String | No | - | The button event type (sb). |
Sending this protocol element DOES NOT require an answer from the receiving app.
The following abbreviated values define button event types:
| Value | Button Event |
|---|---|
| a | Button A touched only. |
| b | Button B touched only. |
| ab | Both button A and B touched simultaneously. |
| a2b | Slide-touch from button A to B. |
| b2a | Slide-touch from button B to A. |
| ice | Emergency touch gesture. |
This JSON structure defines the protocol element to signal the battery level of the jackets internal battery to an app.
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| si | String | No | - | The signal. Must be “bat”. |
| bl | Integer | No | - | The current battery level of the jacket. |
Sending this protocol element DOES NOT require an answer from the receiving app.
NOTE: We need to define what the most meaningful battery level would be. Charge? %? time remaining?
Positive Acknowledgment
A positive acknowledge is sent as an answer to a message when the message
Negative Acknowledgment
A negative acknowledge is sent as an answer when any of above conditions was not met. In this case a reason MUST be given to the sender. See the status codes below.
Acknowledgment Structure
| Field | Type | Optional | Default | Description |
|---|---|---|---|---|
| ack | Boolean | No | - | True or false, depending on the result. |
| rs | Integer | Yes | 200 | A status code, similar to http status codes. |
| Status Code | Description |
|---|---|
| 200 | OK. Positive acknowledgment. |
| 204 | No Content. If the message was empty. |
| 400 | Bad Request. If the JSON was incorrect. |
| 405 | Method Not Allowed. Method not allowed at this time. |
| 500 | Internal Server Error. Should not happen. |
| 501 | Not Implemented. Method not implemented yes. |
NOTE: Anything else?
{"re":"nameOfPhase"}