This document describes the environment for Kubelet managed containers on a Kubernetes node (kNode). In contrast to the Kubernetes cluster API, which provides an API for creating and managing containers, the Kubernetes container environment provides the container access to information about what else is going on in the cluster.
This cluster information makes it possible to build applications that are cluster aware. Additionally, the Kubernetes container environment defines a series of hooks that are surfaced to optional hook handlers defined as part of individual containers. Container hooks are somewhat analogous to operating system signals in a traditional process model. However these hooks are designed to make it easier to build reliable, scalable cloud applications in the Kubernetes cluster. Containers that participate in this cluster lifecycle become cluster native.
Another important part of the container environment is the file system that is available to the container. In Kubernetes, the filesystem is a combination of an image and one or more volumes.
The following sections describe both the cluster information provided to containers, as well as the hooks and life-cycle that allows containers to interact with the management system.
There are two types of information that are available within the container environment. There is information about the container itself, and there is information about other objects in the system.
Currently, the Pod name for the pod in which the container is running is set as the hostname of the container, and is accessible through all calls to access the hostname within the container (e.g. the hostname command, or the gethostname function call in libc), but this is planned to change in the future and should not be used.
The Pod name and namespace are also available as environment variables via the downward API. Additionally, user-defined environment variables from the pod definition, are also available to the container, as are any environment variables specified statically in the Docker image.
In the future, we anticipate expanding this information with richer information about the container. Examples include available memory, number of restarts, and in general any state that you could get from the call to GET /pods on the API server.
Currently the list of all services that are running at the time when the container was created via the Kubernetes Cluster API are available to the container as environment variables. The set of environment variables matches the syntax of Docker links.
For a service named foo that maps to a container port named bar, the following variables are defined:
FOO_SERVICE_HOST=<the host the service is running on>
FOO_SERVICE_PORT=<the port the service is running on>
Services have dedicated IP address, and are also surfaced to the container via DNS (If DNS addon is enabled). Of course DNS is still not an enumerable protocol, so we will continue to provide environment variables so that containers can do discovery.
Container hooks provide information to the container about events in its management lifecycle. For example, immediately after a container is started, it receives a PostStart hook. These hooks are broadcast into the container with information about the life-cycle of the container. They are different from the events provided by Docker and other systems which are output from the container. Output events provide a log of what has already happened. Input hooks provide real-time notification about things that are happening, but no historical log.
There are currently two container hooks that are surfaced to containers:
PostStart
This hook is sent immediately after a container is created. It notifies the container that it has been created. No parameters are passed to the handler.
PreStop
This hook is called immediately before a container is terminated. No parameters are passed to the handler. This event handler is blocking, and must complete before the call to delete the container is sent to the Docker daemon. The SIGTERM notification sent by Docker is also still sent. A more complete description of termination behavior can be found in Termination of Pods.
When a management hook occurs, the management system calls into any registered hook handlers in the container for that hook. These hook handler calls are synchronous in the context of the pod containing the container. Typically we expect that users will make their hook handlers as lightweight as possible, but there are cases where long running commands make sense (e.g. saving state prior to container stop).
Hook delivery is intended to be “at least once”, which means that a hook may be called multiple times for any given event (e.g. “start” or “stop”) and it is up to the hook implementer to be able to handle this correctly.
We expect double delivery to be rare, but in some cases if the Kubelet restarts in the middle of sending a hook, the hook may be resent after the Kubelet comes back up.
Likewise, we only make a single delivery attempt. If (for example) an http hook receiver is down, and unable to take traffic, we do not make any attempts to resend.
Currently, there are (hopefully rare) scenarios where PostStart hooks may not be delivered.
Hook handlers are the way that hooks are surfaced to containers. Containers can select the type of hook handler they would like to implement. Kubernetes currently supports two different hook handler types:
Exec - Executes a specific command (e.g. pre-stop.sh) inside the cgroups and namespaces of the container. Resources consumed by the command are counted against the container.
HTTP - Executes an HTTP request against a specific endpoint on the container.


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Fusion3D
Version 6.04
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Qt dialog for measuring distances and elevation changes between 2 points on a route. More...
#include <dialogMeasureRoute.h>
Public Member Functions | |
| dialogMeasureRoute (QWidget *parent=Q_NULLPTR) | |
| ~dialogMeasureRoute () | |
| Public Member Functions inherited from Ui_dialogMeasureRoute | |
| void | setupUi (QDialog *dialogMeasureRoute) |
| void | retranslateUi (QDialog *dialogMeasureRoute) |
Additional Inherited Members | |
| Public Attributes inherited from Ui_dialogMeasureRoute | |
| QLabel * | label |
| QRadioButton * | firstButton |
| QRadioButton * | secondButton |
| QRadioButton * | calcButton |
| QRadioButton * | offButton |
| QPushButton * | cancelButton |
Qt dialog for measuring distances and elevation changes between 2 points on a route.
The user can define any 2 points used to define/digitize the current track/route and show measurements between these 2 points. The total distance between the points, altitude gained and total altitude changes (both up and down) are displayed.
| dialogMeasureRoute::dialogMeasureRoute | ( | QWidget * | parent = Q_NULLPTR | ) |
| dialogMeasureRoute::~dialogMeasureRoute | ( | ) |


Features
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall.
- First One
- At half-past eight the door opened, the policeman appeared, and, requesting them to follow him.
- Second One
- At half-past eight the door opened, the policeman appeared, and, requesting them to follow him.
- Third One
- At half-past eight the door opened, the policeman appeared, and, requesting them to follow him.
Blokk Wireframe Kit
Try It Now
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall. It was evidently a court-room.
Our Clients
At half-past eight the door opened, the policeman appeared, and, requesting them to follow him, led the way to an adjoining hall.


| Home | Features | Media | Download | About |
Because You ACTUALLY Care (and we thank you)
Does this website involve Neurological Technology (like what doctors use?)
 As a heads up: THIS HAS NOTHING TO DO WITH BUYING EQUIPMENT!
Now, with that out of the way...
So, who are you people?
Right now, we're a bunch of programmers, modellers, rippers, and other junk from all across the planet. We'll be famous one day, but for now, we code our asses off for this Gmod addon (which is pretty expansive at this point).
Our team consists of Hoffa, StarChick, Killst3aks, aftokinito, and various community contributions. dane00a currently maintains and updates the website.
What exactly IS Neurotec?
Ok, look, if you didn't catch it on any of the other pages, this is a modification/addon compilation for Garry's Mod, a sandbox physics game. It doesn't require any external dependencies such as Counter Strike: Source and etc.
Where do I download it?
Why Isn't This on the Workshop?
Simple: This addon is ginormous; it's over 10 gigabytes. Since the Workshop only allows uploads of 100mB per addon, we'd need about 100 parts, give or take, and it's too difficult to maintain those parts.

First, check the download page and make sure you followed the instructions correctly.  If that doesn't help, Click Here to be directed to out Facepunch Forum thread for assistance.
"I found a bug" OR "I want a Feature!"
Click Here to be taken to the Facepunch Forum thread, and you can submit your inquiries there.
I like what you do. Where can I donate?
Click Here to redirected to the donation page.
Can we use your code/models/resources?
This would not have been possible without the effort from StarChick971 and Sillirion with contributions from Fireking552, Flyboi, Inaki and Sakarias88 and many many more. We believe that sharing is caring and seing how we have used tons of other peoples models creating this we give you the full right to use any parts of our source code for your own projects.
I have another question not on here!


| First Posted 18 September 2019 | Last Edited 18 September 2019 | Philip Kiely |
The year was 2018, and I did not want to write a poem. Specifically, I did not want to write a net, an interpretation of a Shakespearean sonnet first imagined by Jen Bervin. I had to do so as part of an assignment, but instead I wrote a program to generate them for me according to the constraints of the form.
The program is a function in my page of sonnet utilities, which I developed during the “Frankenstein Phase” of my website (so named because the website was green and grey and ugly). Other functions include generating rhyming lines and entire sonnets based on a line-by-line rhyming library derived from the sonnet’s structure.
If I were trying to dupe an investor, I might say that the program uses AI to generate the most meaningful extract of the poem. In truth, the program uses a weighted random number generator and iterates over lists of words.
Using the program, I was able to generate and write about a net, which I compared to another net on the same poem that I generated by hand. I generated the random net in front of the professor and used the first option that the program generated. The essay, in all of its early undergraduate glory, is included below, and I invite you to draw your own conclusions about the significance of the computer-generated net.
They that have power to hurt and will do none
That do not do the thing they most do show
Who, moving others, are themselves as stone
Unmoved, cold, and to temptation slow
They rightly do inherit heaven’s graces
And husband nature’s riches from expense
They are the lords and owners of their faces
Others but stewards of their excellence
The summer’s flower is to the summer sweet
Though to itself it only live and die
But if that flower with base infection meet
The basest weed outbraves his dignity
For sweetest things turn sourest by their deeds
Lilies that fester smell far worse than weeds
They that have power to hurt and will do none
That do not do the thing they most do show
Who, moving others, are themselves as stone
Unmoved, cold, and to temptation slow
They rightly do inherit heaven’s graces
And husband nature’s riches from expense
They are the lords and owners of their faces
Others but stewards of their excellence
The summer’s flower is to the summer sweet
Though to itself it only live and die
But if that flower with base infection meet
The basest weed outbraves his dignity
For sweetest things turn sourest by their deeds
Lilies that fester smell far worse than weeds
Power, as a noun, grants the “ability to act or affect something strongly [or] physical or mental strength,” but as a verb means “to make powerful, empower, [or] strengthen” (Oxford English Dictionary). This distinction between power as held versus given in the first line of William Shakespeare’s sonnet 94 drives the poem and both nets. Both nets capture the rewarded altruism in the poem’s message using different words, but my human-generated net struggles to achieve precisely the same meaning for lack of some words that the computer-generated net used.
Sonnet 94 cautions people with power, the noun, to use it judiciously. The poem describes an enviable class of people who wield power stoically. These subjects of the poem embody the concept of “the noble.” As people “illustrious or distinguished by virtue of position, character, or exploits,” they only perform “illustrious, renowned, [or] celebrated” deeds (Oxford English Dictionary). Their abstinence from action defines them; they do not harm, nor “do the thing they most do show,” nor sway to temptation.
These people “rightly inherit heaven’s graces” and justly use them to rule. The phrase “lords and owners of their faces” extends the idea of a stoic monarch. By controlling their faces, or their outward appearance and speech, the subjects exert control over their surroundings. The speaker suggests that others recognize and respect these attributes and serve willingly before such excellence.
To the speaker, deeds outweigh attributes, no matter how grand. The final six lines compare a flower, a representation of the subject of the poem, with a weed, representing someone of little importance. The section emphasizes the warning that “sweetest things turn sourest by their deeds.” Not only do deeds outweigh attributes, they determine them. The metaphor of the flower communicates this through the idea of an infection, where a bad deed ruins the no-longer-stoic subject’s beauty.
The computer-generated net summarizes the theme of altruistic use of power. The first half of the net forms a command: “power others.” The command uses power as a verb, capturing the altruistic tone of the sonnet. Rather than focusing on the power that the subject holds, the net emphasizes the subject’s ability to empower other people. In return, the subject “inherits of others.” While the contents of the inheritance remain ambiguous, they would likely be “heaven’s graces,” which immediately follow “inherit” in the full poem. Regardless, the power given serves as an investment.
“Inherit” plays a key role in the net by defining the investment of power as long-term. Inheritance refers to both property received at the death of the testator and traits derived from parents or ancestors (Oxford English Dictionary). In either case, the net gives a generations-long command, and the subject receives power back after the “others,” now “Others,” have used it. The change in capitalization underlines the effect of holding or using the subject’s power: a permanent increase in importance within the poem.
My net echoes the same theme in different words. The command, “show stewards excellence,” speaks directly to the subject of the full poem: the lords. “Show” means both “to exhibit or demonstrate,” and “to teach,” instructing the subject to lead by example (Oxford English Dictionary). The return on investment, “meet their deeds,” promises the same as the first net and the full sonnet. Where the first net specified the subject as the recipient of their own magnified power, the second net similarly promises that the subject will see the results of their empowered stewards.
As the computer-generated net locked down both instances of “other,” I selected steward in my net, limiting its precision. A steward, “an official who controls the domestic affairs of a household,” limits the audience of the subject’s excellence (Oxford English Dictionary). Where the computer-generated net rewards magnanimity towards all, the second limits it to the subject’s direct underlings. Thus, the second net’s skewed meaning solely instructs the subject to be worthy of service.
This limited application reveals the bounds of meaning within the sonnet. There exists a steep diminishing marginal evocativeness from net to net when disallowing the reuse of words. Constructing a third net to echo the sonnet’s altruistic instruction would require stretching meanings thin; a fourth would be nearly impossible. With just over a hundred words, the sonnet in its full form withstands rigorous analysis; however, all but the strongest individual slices fail to hold up.
This finite meaning indicates that some of the interpretation of the sonnet must come from the work itself rather than my projections onto it. I had projected all of the meaning, then I could keep extracting the same meaning with successive nets. Instead, the justifications would quickly become ridiculous. Furthermore, changing or removing any of the words in either net would fundamentally alter their meanings. Most randomly generated nets lack the fortunate grammatical structure of my first net. Removing any one word (except perhaps “of”) from the net would similarly wreck its facade of intentional meaning. For the second net, every word chosen intentionally contributes to the meaning.
From my perspective, the computer had an advantage because it got to pick first. While I value some words more than others as material for a net, the algorithm weighs them all equally. Thus, the full sonnet must have some innate meaning even if some words more effectively capture that meaning. The fact that randomly chosen words in many cases reflect the message of the poem serves as a testament to its intentional construction. A worse sonnet by a lesser poet would suffer under such deconstruction; most random nets would be useless.
The diminishing precision of the nets reveals both the power and the limitations of the original work. If I could reuse words, my final net would read “power others, meet their deeds.” The sonnet itself, like its subject, “power[s] others,” in that it gives material to create nets. Though it cannot make actions, the sonnet inspires others and “meets[s] their deeds,” in the form of interpretations.
Barbara Mowat, Paul Werstine (Editors) Shakespeare’s Sonnets and Poems. Folger Shakespeare Library, 2006.
“Power,” “Noble,” “Inherit,” “Show,” “Stewards.” The Oxford English Dictionary. 2nd Edition, 1989. Accessed online 12 March 2018.
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* I don’t believe there is much value to me in sharing videos publicly. * On the page i am on people take ur ideas and post them on YouTube as there own * The keyboard warriors annoy me and waste my time. * Confidence * Barely have time to train at all these days never mind video it and post it. * Just never have * closed group * Very rarely, however I rarely share anything back on * Mainly finding the time * Videos are for students of my club and are instructional only. I fear that social media has alot of negativity and one up manship * Would rather upload good quality content than a random, unedited session on joint locks. * Not confident * Shy :) * Karate-do must be felt and experienced to understand "properly". * Videos need to be analysed for accuracy. You need to take ownership and responcibiliy for what you teach others. * Arm chair warriors making annoying ill informed comments * Not experienced enough * Not experienced enough * not good enough! * I don't feel I am at a level that would make these useful to anybody. Yet. * Not good enough * Not something i have ever considered doing * don’t feel good enough * It is mostly for my instructor for feedback or for myself as a reference point for remembering a kata. * Do not think I know enough * Never filmed any * No reason too * N/A * Humility is important. I train for myself, not the internet. * Don't want to give trolls chance to put off future students * They are for personal use * Haven't tried yet * Keyboard warriors!! * I don’t understand why I should share my videos * No real reason just not something i have done * Don't feel comfortable sharing them * No original content to share * My grandfather always said if your good at something don't give it away for free lol * Not my thing * Don't feel the need. * Don't have any * I feel that my training methods are not what other people would work with * Prefer not to post vids of students * Not interested * MY KARATE IS MY OWN, I WANT ONLY REALISTIC TRAINING * They are usually for either me to evaluate something in particular, my peers to check and criticise something in particular, or for my students to use as reference material. * No want public domain * For S * My business my training * They are on our own intranet not public platforms * Too many online critiques IMO * Too much censorship and an almost cult like “that’s not wado” belief in a limited skill set * Personal decision * For benefit of younger members * Club posts sometimes so never had the need for my own * No need really * Private Google folder for trusted individuals/instructors * No want public domain * Not sure I am qualified enough to put videos on the internet, i need more training * May not link * Too self conscious * Time * Not relevant * I used to when I was not working in a professional government job - internet and social media use has had to change drastically * No particular reason * I dont feel I can contribute yet, but do ask questions * Because I am my own worst critic * They are private for training in the dojo only. * N/a * Not that sort of guy * The thought never crossed my mind/ not a fan of social media * For what purpose? * Children * There are enough videos to learn from and perhaps when I feel I have something to offer which isn’t provided for I will post applicable videis. * I like the time to produce the content to the quality I would like. I do share videos privately within our Yudansha * Its for self defence not to show off * Private * Still too you and learning * Never felt the need to /others have recorded me and posted tho * Not greatly impressed with a lot of karate YouTube videos and I doubt anyone would be impressed by mine * Still too you and learning * Not good enough yet !! * Don’t video myself. Will share if it is good for the club * Never done it * The group it is posted in is a private group. * Not really into making videos * For private viewing. * I don’t take videos at all * I would prefer to share with those I know i can take advice from, training partners, coaches etc.


December 2019
In September of 2015, I purchased the domain matthewseligson.com with no plan for using it. In early December of 2019, a use became clear: to make a portfolio of projects, some personal and others academic or professional. Here I describe the process of building this site.
I wanted my portfolio to illustrate a progression of skill and interests over time so I looked into templates with timeline themes and settled on this one by Brady Wright. This template included code for a centered timeline and a basic timeline. I felt that the centered timeline lent itself better to the homepage listing all major projects and that the basic timeline could be repurposed to a bullet-point-like "Read More" page like this one.
"Read More" buttons like the one below were not included in the template but were simple enough to create using the same color scheme from the original template. I just changed the hover opacity to be 20% less than the original.
Read MoreGithub repo links like the one below were also straightforward; I went to the GitHub website and inspected the front page to find that the Octicon logo was an SVG. I use that exact svg code to create these buttons.
All figures I used on "Read More" pages were created using Google Drawings. This was by no means the ideal tool, but it allowed me to create drawings quickly and export as SVG's which I found were particularly nice on web pages.


The beautiful biodiversity of Colombia creates one of the most fertile agricultural landscapes in the entire world. Surrounded by two oceans with vast volcanic mountains and sprawling rain forests, Colombia produces high quality, premium washed Arabica coffee all year round. The Andes Mountains divide the country into three parallel cordilleras, or mountain ranges. Conservation International has dubbed Colombia the “richest and most diverse region on Earth,” citing that it holds one sixth of the world’s plant species on only one percent of its total land area. For more on Colombian Coffee we guide you to visit the information provided by our partners, the third largest coffee exporter in the world, Volcafe and one of the largest coffee farms and ecotourism businesses in Colombia, Hacienda Venecia.


{% extends "personal/header.html" %} {% block content %}
Hey! Welcome to my website! My name is Anjana Tiha. I am a graduate student in department of computer science of University of Memphis.
This is a Search Engine for searching primarily in university of memphis domain
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{% endif %} {% include 'personal/includes/htmlsnippet.html' %} {% endblock %}


- Brand-new, genuine Black & Decker vacuum pre-filter, part# 90512388
- Compatible with Black & Decker cordless vacuums: CHV1218, CHV1408, CHV1568, CHV1688, & VPX2102
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- Brand-new, genuine Black & Decker vacuum pre-filter, part# 90512388
- Compatible with Black & Decker cordless vacuums: CHV1218, CHV1408, CHV1568, CHV1688, & VPX2102
Details
- OEM replacement
- Quality Black & Decker part
- Regularly replaced filters improve vacuum performance
INCLUDES
- Quantity discounts available, please choose from the drop down menu abover
Vacuum Pre-Filters
- CHV1218 Type 1
- CHV1408 Type 1
- CHV1568 Type 1
- CHV1568 E Type 1
- CHV1688 Type 1
- VPX2102 Type 1


Important facts about the social media bill proposed by Senate
In the past few days, Nigerians on social media have been enraged over a controversial bill being considered for passage by the Nigerian Senate: Social Media Bill.
The bill has provoked outrage by Nigerians on Twitter, and other social media platforms, who have shared the contact details of all the 109 senators in the upper legislative chamber, encouraging everyone to write lawmakers representing their districts about the need to reject it.
What is it about this bill that is provoking so much outrage? Legit.ng highlights key points everyone needs to know to have an informed position concerning the aims and objectives of the bill.
Sponsor
- The social media bill, officially known as ‘Protection from Internet Falsehood and Manipulations Bill, 2019,’ is sponsored by Senator Mohammed Musa, representing Niger East.
Structure of the bill
- The bill, which is coded in a 35-page document is divided into five parts. Part 1 focuses on the aims, objectives, and the application of the bill. Part two deals with the prohibition of the transmission of false declarations of facts. Part three focuses on regulations dealing with the transmission of false declarations of facts. Part four deals with regulations for internet intermediaries (internet service providers) and providers of mass media services. The concluding part, part five, has to do with declaration of online locations.
They want to take away our voice - Nigerians kick against social media bill
key objectives of the bill
- The bill seeks to prevent the transmission of false statements or declaration of facts in Nigeria
- It also seeks to put an end to the financing of online media that transmit false statements
- Another objective of the bill is to put in a place measures to detect and control inauthentic behaviour and misuse of online accounts/bots (Parody accounts).
- The bill also seeks to ensure that posters of paid content posted for political reasons must disclose such information
- It also to ensure that offenders are sanctioned
What does it mean to transmit false statements, according to the bill?
According to the bill, a person must not:
- Transmit a statement that is false or,
- Transmit a statement that might:
i. Affect the security or any part of Nigeria.
ii. Affect public health, public safety or public finance.
iii. Affect Nigeria’s relationship with other countries.
Nigerians react to video of young Muslim boy praying in front of a church
iv. influence the outcome of an election to any office in a general election.
v. Cause enmity or hatred towards a person or group of persons.
- Anyone guilty of the above is liable to a fine of N300,000 or three years imprisonment or both (for individual); and a fine not exceeding ten million naira (for corporate organisations).
- Same punishment applies for fake online accounts that transmit statements listed above.
How the bill explains parody accounts
- The bill says a person shall not open an account to transmit false statement.
- Anyone found guilty will be fined N200,000 or three years imprisonment or both (for an individual) or five million naira (for corporate organisations).
- If such accounts transmit a statement that will affect security or influence the outcome of an election, such a person will be fined N300,000 or three years imprisonment or both.
- If a person receives payment to reward to help another to transmit false statements knowingly, he/she is liable to a fine of N150,000 or three years imprisonment or both. If a person receives payment to reward to help another to transmit a statement affects security or influence the outcome of an election, the fine is N300,000 or three years imprisonment or both (for individual) and ten million naira for organisations.
Senate reintroduces bill to regulate social media use
Declaration
According to the bill, a law enforcement department can issue a “declaration” to offenders. And this declaration will be issued even if the “false statement” has been corrected or pulled down.
- The offender will be required to publish a “correction notice” in a specified newspaper, online location or other printed publication of Nigeria.
- Failure to comply, a person is liable to N200,000 or 12 months imprisonment or both (for individual) and five million naira for organisations.
Access Blocking Order
The bill says the law enforcement department will also issue an access blocking order to offenders.
- The law enforcement department may direct the NCC to order the internet access service provider to disable access by users in Nigeria to the online location and the NCC must give the internet access service provider an access blocking order.
- An internet access service provider that does not comply with any access blocking order is liable on conviction to a fine not exceeding ten million naira for each day during any part of which that order is not fully complied with, up to a total of five million naira.
Poll: What Nigerians think about Army’s plan to commence checking of identity cards of citizens
- The bill, however, states that a person is free to make an appeal to the High Court against the regulation. Nevertheless, the bill also states that a person cannot make an appeal at the court unless the person has first applied to the Law Enforcement Department.
Nigerians' major argument against the bill
From reactions of Nigerians surveyed on social media, their major argument lies on the fact the country already has relevant laws to prosecute the offences listed in the bill. They conclude that any other attempt to create another law regarding this is tantamount to suppressing the freedom of speech which is guaranteed by the Nigerian constitution.
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The sponsor of the bill reacts
Senator Mohammed Sani Musa, representing Niger East senatorial district, said his goal is to check the viral spread of fake news and misinformation on social media.
After saying Yahoo money is sweet, singer Soft makes u-turn, says he is not a fraudster
He claimed that his aim was neither to use the bill as an avenue to gag the press nor deny Nigerians their constitutionally guaranteed freedom of speech.
"My reason for bringing this bill actually is not to gag the press, I believe in the freedom of expression or freedom of speech," he said.
NAIJ.com (naija.ng) - Legit.ng. We have upgraded to serve you better.
Bayelsa election: Party agents argue fiercely over results anomaly | Legit TV


[Seal of Gnosis]
The Seal of Gnosis bestows the following benefits on those who possess it:
Ownership of the Catacombs:
The Revolutionaries of Dusk have exclusive rights to the six Catacombs. In case of a tie, entry is no longer exclusive.
Commerce with Blacksmith of Mammon:
You can do business with the Blacksmith of Mammon who appears in the Catacombs. They accept payment in ancient adena, and offer such special services as exchanging equipment and bestowing weapons with special abilities.
Teleportation:
The Priests of Dusk offer teleportation services to the main hunting grounds. They also only accept ancient adena.
Orator of Revelations:
There is one who preaches of revelation in every village. He offers the blessings of darkness to all.
Preacher of Doom:
There is one who cries out for destruction in every village, calling down curses upon our enemy, the Lords of Dawn.
"I wish to fight for the Seal of Gnosis."
Back


GONZA THE SPEARMAN A film review by Thomas E. Billings Copyright 1989 Thomas E. Billings
Synopsis: In Japan in the 1700's, a young samurai warrior and the wife of a noble are accused of committing adultery. Under the prevailing social code, the noble must kill his wife to avenge his honor. The samurai and the woman flee, and are pursued by her husband. A tragic story of jealousy and honor, laced with a dose of lust.
Japan (Japanese with English subtitles), color, 1988, 126 minutes.
Director: Masahiro Shinoda Principal cast: Hiromi Go, Shima Iwashita, Shohei Hino Print Source: Schochiku Films of America
The rather clumsy title of this film is a literal translation of the title of the play on which it is based, Yari no Gonza. The play was written by Monzaemon Chikamatsu, the "Shakespeare of Japan." The resulting film is well made and interesting; perhaps the word "elegant" might apply.
The story centers on Gonza, an ambitious young samurai warrior. Gonza is very handsome, and is favored by women. In order to advance in the service of his clan, Gonza must learn and practice the tea ceremony, an elaborate social ritual. Gonza competes with another man for the privilege of performing the tea ceremony for the clan leader. To make things more complicated, the man Gonza competes with is the brother of the woman he is engaged to.
Since Gonza is to perform the tea ceremony on behalf of Ichinoshin, a noble who is in Edo (feudal Tokyo), he asks to see the family tea scrolls. This is normally permitted only for family members. Ichinoshin's wife, Osai, agrees on the condition that Gonza agrees to marry her 15-year old daughter, thereby joining the family. Despite his engagement to another, Gonza agrees to the marriage.
Gonza comes late at night to examine the scrolls. He is observed by his rival, who runs through town proclaiming that Gonza and Osai have committed adultery. To avoid the wrath of Ichinoshin, who by social custom must kill both Osai and Gonza to preserve his honor, they flee and hide. Ichinoshin follows and searches for them.
This is a tragic melodrama dealing with honor, social duty, love, lust, and jealousy. Although the first hour drags on at times with a slow moving and rather convoluted plot, the second hour will definitely hold your attention! It is not the best "samurai melodrama" that I have seen, but, overall, it is really very good.
Now comes the tricky question: is it recommended for a general audience? First of all, if you are looking for a samurai action film like, for example, YOJIMBO, then you are cautioned that this is not that sort of film. This is a melodrama, it is not the samurai equivalent of a kung-fu movie! Second, the film is an adaptation of a stage play, with all the inherent limitations therein. The overall quality of the film is good, but it is not one of the "best of the year" or even "best of its class."
Third, to fully understand and appreciate the film, it is helpful to have some knowledge of Japanese history and customs in the period. Melodramas like this are standard fare on Japanese television. Having spent considerable time in Japan, I am acquainted with the material, and acquired a taste for it. Despite the universal themes addressed in the story, I wonder whether a general audience will fully appreciate the unique social background that drives the tragedy.
Overall evaluation: good. Recommended to those with some knowledge of the period, and adventuresome viewers willing to take a risk on a "samurai melodrama."
Reviewer: Thomas E. Billings, Department of Statistics University of California, Berkeley Reviewer contact<EMAIL_ADDRESS>The review above was posted to the
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My name is Daniel Pillay! I am an aspiring Software Developer. I am currently attending
code fellows with aspirations of graduating as a Full Stack JavaScript developer. On my
free time, I enjoy viewing/partaking in combat sports and eating at new resturants.
Professional Experience and Education
- Attended Shoreline Community College for Criminal Justice: 2009-2010
- Mountlake Terrace Police Cadet/Explorer: 2010-2013
- Air Force Security Forces Technical School Graduate: 2013
- Air Force Security Forces Member: 2013-2017
- Code Fellows Student: Ongoing...
Skills
- Time management abilities
- Team player
- Working well under pressure
- Learning skills
- Strong communication skills
Personal Goals
- Graduate Code Fellows as a Full Stack JavaScript Developer
- Get a job as a developer
- Promote to blue belt in Jiu Jitsu
Top 10 breakthroughs that need to happen in STEM
- Time Travel(through worm holes)
- The discovery of the origin of time itself
- The discovery of the end of time and whats beyond
- Humans on Mars
- World wide Wifi/Cell Phone reception.
- A practical, legal jetpack for everyday commute
- Space Tourism
- Elon Musk's Hyperloop
- 3D printed food (as long as its proven healthy!)
- Smartphone batteries that lasts as long as a Nokia 3310 battery.


REVIEWER'S NOTE: For those of you who are paying attention, yes, I had already written a review of FARGO some time ago. I recently saw the film again, and while this isn't the first time I have changed my mind about a film after another viewing, this is the first time that I felt like I had cheated a four-star masterpiece out of its rating. See below for explanation.
Film review by Kevin Patterson
FARGO Rating: **** (out of four) R, 1996 Directed by Joel Coen. Written by Joel and Ethan Coen. Starring Frances McDormand, William Macy, Steve Buscemi, Peter Stormare.
As the Coen Brothers' FARGO begins, shifty Minneapolis car salesman Jerry Lundegaard (William Macy) drives down a snow-bound road to a bar in Fargo, North Dakota, where he meets two thugs-for-hire, Carl Showalter (Steve Buscemi) and Gaear Grimsrud (Peter Stormare). He has a rather unique proposition for them; they are to kidnap his wife and demand $80,000 in ransom from her wealthy father, then split the ransom money with Jerry. What is instantly clear, however, is that, as well as being generally unsavory types, Showalter and Grimsrud are dumber than a box of rocks and probably should not be trusted with Jerry's laundry, much less his wife. Between that and the fact that FARGO is the latest from Joel and Ethan Coen, who brought us BLOOD SIMPLE and RAISING ARIZONA, among others, it's a pretty safe bet from then on that things are going to go haywire. Pretty soon, the very pregnant Sheriff Marge Gunderson (Frances McDormand) of Brainerd, Minnesota is being called in to investigate a triple homicide on an isolated highway and Jerry's scatter-brained scheme is going hopelessly awry.
FARGO is far from the typical crime/suspense thriller. It is "about" this kidnapping scheme, but it is about a lot of other things too. It is about Northern accents and expressions like "you betcha." It is about ice on the windshield and large quantities of snow. Most importantly, it is about how a laid-back community of Northern Midwesterners come face-to-face with cold-blooded evil in the persons of Showalter and Grimsrud, and how they deal with it in their typically laid-back, golly-gee-whiz (or in this case, "oh yah, yer darn-tootin'!"), easy-going way. McDormand herself has described it as "miles and miles of pure white snow, splattered with red blood."
Stylistically, FARGO occupies a middle ground between BLOOD SIMPLE and RAISING ARIZONA: it has both the disturbing violence of the former and the wacky humor of the latter. Sometimes it even has both at once, such as when Jerry finds a piece of Showalter's handywork in the form of a dead parking lot clerk and mutters, "Oh jeez" with all the animation of someone who just stubbed his toe. The kidnapping scene itself is a similar mix; Mrs. Lundegard and Showalter stare curiously at each other through the window for a good thirty seconds before the two thugs break in, and later, when she bites Grimsrud's hand in attempt to escape, he goes upstairs to clean himself up in the family's bathroom, leaving Showalter to chase her. The Coens do not make the mistake of laughing off the violence entirely, however; the scene in which Grimsrud hunts down two witnesses and kills them execution-style, for example, is unabatedly vicious and brutal.
FARGO is sometimes black-comic and sometimes just plain black, but there is plenty of good-natured humor as well, most of it deriving from the quirks of the local culture and the charm of McDormand's character. "Oh, for Pete's sake, he's fleein' the interview!" she exclaims at one point when a suspect eludes her during an interrogation. Not only is she instantly likeable and intelligent, she is also remarkably hardy and persistent for a woman seven months pregnant. When she arrives at the initial crime scene, for example, beset with morning sickness, she excuses herself momentarily to vomit, then returns and promptly gets back to her job. The locals, meanwhile, are featured in several scenes in which witnesses call the police with long-winded, banal stories but can only describe Showalter as "a little fella, kinda funny-lookin'." The interaction between Showalter and Grimsrud is also quite amusing at times, such as when Showalter, frustrated by Grimsrud's lack of interest in coversation, delivers a thoroughly un-silent monologue about how "two can play at that game, buddy," and how he is going to be completely [bleeping] silent.
What the Coens have created in FARGO is not only an interesting, off-beat slice of culture but also an examination of the moral conflicts underlying the characters' behavior. It's almost like the flip-side to David Lynch's BLUE VELVET: in both films, innocent, clean-cut protagonists from a seemingly peaceful small town stumbles into a shockingly violent crime scenario that reveals ugly secrets hidden underneath their heretofore laid-back existence. But while Lynch's protagonist found himself unable to deal with the evil and perversity that he discovered without first dealing with his own "dark side," Marge Gunderson emerges untainted. She investigates the crimes with notable intelligence and stands her moral ground, as she confronts the criminals' selfishness head-on, allowing herself to feel disgust and even bewilderment, but never letting it shake her long-held perceptions of herself and of what's right and wrong.
The Coens have, throughout their filmmaking career, returned periodically to the theme of an Ordinary Joe who perseveres even when confronted by nutcases and two-timing jerks. FARGO isn't quite their best film (that honor still goes to BARTON FINK, their 1991 surreal psychodrama that sent up artistic pretension and Hollywood commercialism) but at the very least, Marge Gunderson turns out to be an Ordinary Josephine who almost certainly outclasses all the Coens' previous Ordinary Joes (which is not an easy act to follow). Poignant, intelligent, and occasionally hilarious, FARGO is a fine example of filmmaking that no one should miss.
- - Why I re-wrote this review - -
For one thing, I don't think I fully grasped the moral conflicts that I discussed in the second-to-last paragraph above when I first reviewed the film: at the time, I saw FARGO as mostly just an off-beat examination of the local culture within the framework of a crime thriller. Also, I criticized the film on two grounds which, in retrospect, were mostly irrelevant. The dangling plot thread of which I spoke was incidental at best, and returning to it at the end would almost certainly have disrupted the narrative flow. As for the criminals taking too long to get things moving, there does seem to be a slight amount of sloppiness - they seem to take half the day driving from the Twin Cities to Brainerd, when in reality it's only a few hours - but again, this is at most a minor flaw and not a serious detraction from the film's overall effectiveness.
- - - - - - Visit my Film Reviews page at: http://members.aol.com/KTPattersn/reviews.html
The review above was posted to the
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I'm Domonique Jones. I am a full stack engineer. I enjoy finding different ways to get the same results in my web designs! I have a creative eye and can channel that into amazing, unique, and one of kind web pages!
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Rationale for the Structure of the Model and Protocol for the Internet Printing Protocol
Raymond, Eric S.
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Redirection
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basic
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operations
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rehash
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Posted: 2016-12-28
, Modified: 2016-12-28
Tags: neural nets
References
GANs
Ferenc: When the goal is to train a model that can generate natural-looking samples, maximum likelihood is not a desirable training objective. Under model misspecification and finite data (that is, in pretty much every practically interesting scenario), it has a tendency to produce models that overgeneralise.
Objective
Train 2 neural networks \(D\) and \(G\). \(P\) generates real data, and \(G=\wh P\) generates fake data. Suppose either \(P\) or \(\wh P\) is chosen with probability \(\rc2\) and then one same \(x\) is drawn. (I.e., consider \(\rc2 (P+\wh P)\).)
- \(G\) is generator: it tries to generate \(x\) with distribution close to \(P\).
- \(D\) is discriminator: given \(x\), it tries to output the probability that \(x\) is real data.
\(G\) tries to minimize the objective and \(D\) tries to maximize it: \[
V(D, G) = \E_P \ln D + \E_G \ln (1-D).
\] (The second expectation is over \(G(z)\), \(z\sim p_z\) a fixed distribution.) If the data was real, there is a loss \(\ln \wh\Pj\pat{real}\), and if the data was fake, there is a loss \(\ln \wh \Pj\pat{fake}\). (Penalize for mistakes.)
Note that given
\(G\), the optimal
\(D\) is $ $,
\[\begin{align}
\max_D V(D,G) &= \EE_p \ln \fc{p}{p+\wh p} + \EE_{\wh p} \ln \fc{\wh p}{p+\wh p}\\
&= -2\ln 2 + KL\ba{p||\fc{p+\wh p}2} + KL\ba{\wh p ||\fc{p+\wh p}2}.
\end{align}\]
Interpretation of objective
\[
KL[Q||P] := \EE_Q\ln \fc{Q}{P} = H(Q) - \EE_Q\ln P = H(Q) + CE(Q,P)
\] where CE is cross-entropy.
\[\begin{align}
JSD[P||Q] &= \rc 2 KL\ba{P||\fc{P+Q}2}
+ \rc 2 KL\ba{Q||\fc{P+Q}2}\\
JSD[Q||P] &= \pi KL\ba{P||\pi P+(1-\pi)Q}
+ (1-\pi) KL\ba{Q||\pi P+(1-\pi)Q}
\end{align}\]
Let \(P\) be the natural distribution and \(Q\) be the estimated one.
- \(KL[Q||P] = H(Q) + CE(Q,P)\), \(CE(Q,P)\) is the perplexity of seeing samples from \(P\) when you think the distribution is \(Q\). It is maximized by a model \(Q\) that deterministically picks the most likely stimulus. \(H(Q)\) tries to counteract by enforcing diversity.
- Favors undergeneralization, ex. describing the largest mode only. It’s infinitely penalized in introducing probability mass when \(P\) has none.
- Hard to optimize based on a finite sample. (Why? It’s not well-behaved unless \(\Supp(Q)\subeq \Supp(P)\)!)
- \(KL[P||Q] = H(P) + CE(P,Q)\), \(H(P)\) is constant and \(CE(P,Q)\) is the average negative log likelihood. Optimizing this corresponds to maximizing the log likelihood.
- Favors approximations \(Q\) to overgeneralize \(P\). It’s allowed to introduce probability mass where \(P\) has no or little mass.
- JSD is a compromise.
Another interpretation
Let \(s=0,1\) wp \(\rc2\), determining whether we see real or fake data. Let \(\wt p\) be combined distribution. \[I[s;x] = KL[\wt p(s,x)||\wt p(s) \wt p(x)].\] This is intractable to estimate. Subtract out KL divergence: \[
L[p;q] := I[s;x] - \E_{\wt p(x)} [KL[\wt p(s|x)||q(s|x)]] = H[s] + \E_{\wt p(s,x)} [\ln q(s|x)]
\] (CHECK THIS) The second term is the GAN objective function. “GAN can be viewed as an augmented generative model which is trained by minimizing mutual information.” YZL
Training
- Alternate between \(k\) steps of optimizing \(D\) and one step of optimizing \(G\).
- At the beginning \(G\) is poor so \(D\) predicts close to 1, and \(\ln (1-D)\) can blow up. So at the beginning train \(G\) to maximize \(\E_G\ln D\) instead.
- Use stochastic backprop.
- Use momentum.
- Generator nets used ReLU and sigmoid, discriminator used maxout, dropout.
- Estimate probability of test set data under \(p_g\) by fitting Gaussian Parzen window. (What is this? [7])
Notes
- No explicit representation of \(p_g\).
- \(D\) must be synchronized well with \(G\) during training. (? Avoid “Helvetica”)
Table p. 8
Improved techniques.
“GANs are typically trained using gradient descent techniques that are designed to find a low value of a cost function, rather than to find the Nash equilibrium of a game.”
- Feature matching: new objective for generator that prevents it from overtraining on current discriminator. Train the generator to match the expected value of features \(f(x)\) on intermediate layer of discriminator. \[ \ve{\E_{x\sim p_{\text{data}}}f(x) - \E_{z\sim p_z(z)} f(G(z))}_2^2.\]
- Minibatch discrimination: A failure mode for GAN is for the generator to collapse to a point. So allow discriminator to look at multiple data examples in combination.
- Historical averaging: include term \(\ve{\te - \rc t \sumo it \te[i]}^2\). cf. fictitious play [16] algorithm that works for other games.
- One-sided label smoothing. Replace positive and negative classification targets 1, 0 with \(\al,\be\). This makes it less vulnerable to adversarial examples. Actually, don’t change \(\be=0\).
- Virtual batch normalization
Semi-supervised learning
Label generated samples with “generated” class \(K+1\). For unlabeled data, maximize \(\ln p_{\text{model}}(y\in [K]|x)\).
InfoGAN
- Extend the GAN objective with new term encouraging high mutual information between generated samples and subset of latent variables \(c\). (Other variables are noise variables.)
- Hopefully \(c\) will represent the most meaningful sources of variation.
- Use a variational lower bound to maximize mutual information. (cf. variational autoencoders)
\[L_{infoGAN}(\te) = I[x,y] - \la I[x_{\text{fake}},c].\]
Want \(c\) to effectively explain most variation in fake data.
Variational bound on MI: \[I[X,Y] = \max_q \bc{H[Y] + \EE_{x,y} \ln q(y|x)}.\]
Thus, \[
I[x_{\text{fake}},c]\ge \EE_{x_{\text{fake}}\sim G(z,c), c\sim C|x}[\ln \fc{Q(c|x)}] + H(c)
\] Sample using Monte Carlo.
GANs use the variational bound in the wrong direction \(I(s;x) \ge H(s) + V\). InfoGANs use it twice. \[
\ub{I(s;x)}{\ge H(s)+V} - \la \ub{I[x_{\text{fake}}, c]}{\ge ...}
\]
Example: for MNIST, have 10 known labels and 2 latent variables which turn out to represent slant and width.
AdaGAN: Boosting Generative Models
Background on boosting
GANs suffer from missing modes: the model doesn’t produce examples in certain regions.
Idea: combine multiple generative models into a mixture. Each step, focus on examples that the mixture has not been able to properly generate, and add another model addressing those.
This is a meta-algorithm which can be used with any implementation of generative models (e.g. GANs).
Minimizing f-divergence with additive mixtures
\(f\)-divergence is \[
D_f(Q||P):=\int f\pa{\dd QP (x)}\,dP(x)
\] Note \(D_f(P||Q) = D_{f^{\circ}}(Q||P)\) where \(f^{\circ}(x) = xf(1/x)\). Adding a multiple of \(x-1\) doesn’t change.
\(f\) is Hilbertian if \(\sqrt{D_f(P||Q)}\) satisfies the triangle inequality (ex. JSD, H, TV)
Examples:
- KL \(-\ln x\)
- reverse KL \(x\ln x\)
- TV \(|x-1|\)
- JSD \(-(x+1)\ln \fc{x+1}2 + x\ln x\)
AdaGAN derivation
- At each step we want to combine a mixture of the current distribution \(P_g\) with the new distribution \(Q\) to minimize divergence with real distribution \(P_d\) \[
\min_{Q\in \mathcal D} D_f((1-\be)P_g+\be Q||P_d).
\]
- If we can get a constant factor closer at each step \[
D_f((1-\be)P_g + \be Q||P_d) \le c D_f(P_g||P_d)
\] then we can get exponential convergence.
- Difficulty, and where boosting comes in: we somehow need to focus attention on the mistakes.
- What is the optimal for \(Q_\be^*\)? By calculation, (Theorem 1) \[
Q = \rc \be (\la^* P_d - (1-\be)P_g)_+
\] for some \(\la^*\).
- How well does this optimum do? (Lemma 2) \[
D_f((1-\be)P_g+\be Q_\be^* ||P_d) \le D_f((1-\be)P_g + \be P_d||P_d) \le (1-\be)D_f(P_g||P_d).
\]
- We show that it suffices to find \(Q\) such that \[D_f(Q||Q_\be^*)\le \ga D_f(P_g||P_d)\] where \(Q_\be^*\) is optimal for the objective.
- Use a triangle-like inequality (Lemma 1 (10)): For Hilbertian metrics, \[
D_f((1-\be)P_g + \be Q||P_d) \le (\sqrt{\ga D_f(Q||R)} + \sqrt{D_f ((1-\be)P_g + \be R||P_d)})^2.
\]
- Let \(R=Q_\be^*\). Corollary 3 and the calculation for \(R\) then gives (Lemma 2) \[
D_f((1-\be) P_g + \be Q||P_d) \le (\sqrt{\ga \be} + \sqrt{1-\be})^2 D_f(P_g||P_d).
\]
- Comment: this can be refined if \(\dd{P_g}{P_d}\) is almost surely bounded (Lemma 3).
- Comment: this requires a pretty strong weak learner, because we need \(\ga <\fc{\be}{4}\) to get the coefficient \(<1\). Often \(\be\to 0\).
- Hope is that GAN can estimate \(Q_\be^*\). How to estimate \(Q_\be^*\)? We can reinterpret the expression for \[Q_\be^*= \rc\be (\la^* P_d-(1-\be)P_g)_+\] as reweighting the samples.
- How does discriminator give an estimate for \(P_g\)? As long as the optimal discriminator satisfies \[ \dd{P_g}{P_d}(x) =h(D(x))\] for some \(h\). Ex. for GAN \(h(y) = \fc{1-y}{y}\). Thus we get an estimate of \(\dd{P_g}{P_d}\).
- Think about \(dQ_\be^*\) as giving a weighting over sample points. For point \(i\), \[
w_i = \fc{p_i}{\be}(\la^* - (1-\be)h(d_i))
\] where \(d_i\) is the discriminator output on \(x_i\), \(p_i=\rc N\).
- Solving for \(\la^*\) gives
\[\begin{align}
I(\la) &= \set{i}{\la >(1-\be) h(d_i)}\\
\la^* &= \fc{\be}{\sum_{i\in I(\la^*)} p_i} \pa{1+\fc{1-\be}{\be} \sum_{i\in I(\la^*)} p_i h(d_i)}.
\end{align}\]
This is in terms of \(\la^*\), but we can break this by noting that \(I(\la^*)\) will contain \(k\) smallest \(d_i\)’s for some \(k\). Thus, initialize \(k=1\); while \((1-\be)h(d_k)\ge \la\), set \(k\leftarrow k+1\) and \(\la \leftarrow \fc{\be}{\sumo ik p_i}(1+\fc{1-\be}\be \sumo ik p_ih(d_i))\).
- Mixture weights \(\be\) can be constant, \(\be_t=\rc t\) for equal weights, etc. (S3.2)
- Run GAN with modified weights at each step.
An alternate analysis:
- Instead bound (Lemma 1 (9)) (note this doesn’t require Hilbertian) \[
D_f((1-\be)P_g + \be Q||P_d)\le
\be D(Q||R) + (1-\be) D_f\pa{P_g||\fc{P_d-\be R}{1-\be}}.
\]
- Minimize this upper bound instead. Assume \(P_d(dP_g=0)<\be\). (Theorem 2) \[
dQ_\be^{\dagger} = \rc\be (dP_d-\la^{\dagger} (1-\be)dP_g)_+
\]
- The optimum satisfies (Lemma 2.2) \[
D_f\pa{P_g||\fc{P_d-\be Q_\be^{\dagger}}{1-\be}}\le D_f(P_g||P_d).
\]
- If \(D_f(Q||Q_\be^{\dagger}) \le \ga D_f(P_g||P_d)\) and \(P_d\pa{\dd{P_g}{P_d}=0}<\be\), then \[D_f((1-\be) P_g + \be Q||P_d)\le (1-\be(1-\ga))D_f(P_g||P_d).\]
- The condition on \(\ga\) is milder here. However, we need the extra condition that \(\be\)>(mass of true data missed by current model). (Else, need to increase the weight \(\be\)!)
Remarks:
- Convergence rate depends on the ratio of probability mass: logarithmic in \(\fc{dP_1}{dP_d}\). (Corollary 1)
Two views of GANs
- Divergence minimization: minimize divergence between real data and implicit generative model \(q_\te\). Problems
- GAN algorithms minimize lower bounds. The discriminator must be powerful.
- Degenerate distributions
- Constrast function view: learn a function that takes low values on data manifold and high values everywhere else. The generator is a smart way of generating contrastive points.
Adversarial training with maximum mean discrepancy


@* * Made with all the love in the world * by scireum in Remshalden, Germany * * Copyright by scireum GmbH * http://www.scireum.de -<EMAIL_ADDRESS>*@ @args ninja.Bucket bucket @extends(view.main.html, title: "API") @section(header) {
Basically all object methods are supported. However no ACLs are checked. If the bucket is public, everyone can access its contents. Otherwise a valid hash has to be provided as Authorization header. The hash will be checked as expected by amazon, but no multiline-headers are supported yet. (Multi-value headers are supported).


Developing Services
Our services are open-source, hence you are very welcome to contribute any of it you wish to improve. You can follow the readme in the corresponding projects to find out how to locally install and develop new features, or fix bugs to the application lies under our umbrella.
Create a Pull Request
If you are working on a feature or a bugfix in any of our project please
provide a meaningfull name for your PRs. If your PR is not ready, please
add the prefix wip_
(Work in Progress) to your PRs. Once your
PR is accepted and merged it will be released with the next version.
Creating an issue
If you’ve found a problem in the docs, or any of our services but you’re not sure how to fix it yourself, please create an issue in the appropriate repository. For instance, to open an issue targeting the WebRTC-Observer please go to Create New Issues at that repository.
Website Contribution
We use Hugo to format and generate our website, the Docsy theme for styling and site structure, and Github pages serves the final look you experience right now.
All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult GitHub Help for more information on using pull requests.
Updating a single page
If you’ve just spotted something you’d like to change while using the docs, here is what you can do:
- Click Edit this page in the top right hand corner of the page.
- Create a Pull Request in which you modify the content of the page you wish to be altered.
- Wait up until it is accepted and the page will be regenerated.
Useful resources
- WebRTC-Observer Repository: The microservice receives the sample from integrations
- WebExtrApp Core Repository: The core client library multiplex measurements into a Peer Connection Sample
- WebExtrApp Integrations Repository: Developed for different integrations of the WebExtrApp


Synchronized Video Player
Open this page in another browser window, even on another device, and the videos should be synchronized.
Code by POV Technology Fellow Brian Chirls is available on GitHub. Video clip is the trailer from Koch by Neil Barsky. Read more about this experiment on the POV blog.


clear(1) clear(1) NAME clear - clear the terminal screen SYNOPSIS clear DESCRIPTION clear clears your screen if this is possible. It looks in the environ‐ ment for the terminal type and then in the terminfo database to figure out how to clear the screen. clear ignores any command-line parameters that may be present. SEE ALSO tput(1), terminfo(5) This describes ncurses version 5.9 (patch 20110404). clear(1)


Freeside is a Makerspace for hackers, designers, artists, students, and hobbyists in Atlanta, Georgia.
Freeside Technology Spaces, a 501(c)3 non-profit organization, strives to provide a space that inspires collaboration, creativity, teaching, and open projects for the Atlanta community.
We host lots of classes and projects to help people network and make their ideas a reality.
675 Metropolitan Pkwy, Atlanta GA
http://meetup.com/freeside-atlanta
http://wiki.freesideatlanta.org
<EMAIL_ADDRESS>675 Metropolitan Pkwy, Atlanta GA
http://meetup.com/freeside-atlanta
http://wiki.freesideatlanta.org
<EMAIL_ADDRESS>675 Metropolitan Pkwy, Atlanta GA
http://meetup.com/freeside-atlanta
http://wiki.freesideatlanta.org
<EMAIL_ADDRESS>675 Metropolitan Pkwy, Atlanta GA
http://meetup.com/freeside-atlanta
http://wiki.freesideatlanta.org
hello@freesideatlanta.org


Before getting underway, we stayed in Auckland for the first few days to get acclimated to the ship and learn a bit more about standard operating procedures so we knew what to expect. During the day, we also took the time to walk around Auckland and visit the Auckland war museum, which featured a bit of history about Maori culture (the term Maori refers to the people who inhabited New Zealand before colonists arrived). In our Maritime History and Culture class, we spent a lot of time studying their history and culture, so visiting the museum was a “field trip” for this class.
As expert navigators, waka (Maori canoes) were a major part of their culture since it enabled them to be the first humans to reach and inhabit New Zealand. It is believed that they sailed there from East Polynesia in the late 13th century. These canoes It also allowed them to rely on fish as a good source of food.
Some other things that I thought were pretty cool to see in the museum were decorative barkcloth and fish nets. It’s one thing to see photos of them in a textbook, but words cannot describe how cool it was to see everything in person!
While in Auckland, we also got the opportunity to visit Muriwai, a coastal area where Australasian gannets densely populated the area. While we were there, we talked to an environmentalist who had spent a lot of time studying the birds in the area and learned a lot about the bird populations and behaviors. The lookout point we visited got us pretty close to the gannets and allowed us to observe their behaviors from up close, but also overlooked a large area to show the scale of the population that nested there. There were a lot of gannets…
 I didn’t really expect getting the chance to swim this early in the trip, but it was definitely a lot of fun! Before this trip, I’ve never visited a beach with black sand before - the white sand at LA beaches already gets really warm in the sun, but the sand here was considerably hotter.
During out last full day in Auckland, we visited the Ōrākei Marae (marae is a Maori term for a communal and sacred space that serves religious and social purposes) which was based at Takaparawha (Bastion Point). While we were there we talked to a Maori tribe member about the marae and discussed the modern-day challenges that resulted from a history of colonization by the British. One particular issue we spent a good amount of time talking about was education - up until recently, the history taught in New Zealand schools was the same European-centric history taught elsewhere, with stories of Columbus and the crusades filling their textbooks instead of Maori history and culture.
The next day, we departed from Auckland! It was really cool to finally be moving, after all the anticipation from being on the boat for a few days. Off to Russell!
Port stop dates: Feb 14th - 17th, 2020


# Succeeding as a remote worker
Office Optional
## Sandhills Developement
### Chris Klosowski
#### CTO - Partner
![Sanshills Monsters](images/global/sandhills-monsters.png)
### My Remote Work Story
### 2010 - 2012
Software Developer @ GoDaddy
Worked from the office 100%
### 2012 - 2014
Ability to periodically work from home
### January 1, 2015
Joined Sandhills Development
### 2015 - 2016
100% Remote but worked from home
### Early 2017
Started working 2 days a week from Gangplank
### Mid 2017
Family started travling 1 time a quarter
### Mid 2017 - Current
Full time working remote but not at home
![Sandhills Map with pin points in each area of the world](images/wcphx2019/sandhills-team-map.png)
## 20 People / 8 Timezones
![Sandhills Team on the beach in Fort Pierce Florida](images/wcphx2019/sandhills-beach-edited.png)
![Sandhills Team In a Meeting on Zoom](images/wcphx2019/the-sandhills-bunch.png)
Full-time remote
35% Would Change Jobs
12% Companies offer
Part-time remote
37% Would Change Jobs
24% Companies offer
## Pants not required
Working from home can be difficult
## Pants not required
Working ~~from home~~ remotely can be difficult
Find your routine
What is your 'Day Starter'?
Lunches
Breaks
Set a stop timer
Find your ideal place(s)
Coffee Shop
Co-Working Space
Parks
Traveling
Home
Digital Nomad (Traveling)
Work From Home
Have a fallback location
Build your ideal workspace
Comfort is key
"Blocker Busting" activities
## Socialization
No office, No problem?
Professional Associations
Co-Working Spaces
Religeous Groups
Non-Professional Groups
## Find people outside your profession
Association for Psychological Science researchers have found that social isolation increases the risk of mortality by 29%.
If you or someone you know needs support, call the National Suicide Prevention Lifeline at 1-800-273-8255 or text “START” to 741-741.
## Work/Home Separation
![Meme of what my friends, clients, governmnet, mom, myself think I do, and what I really do](images/wcphx2019/working-from-home-meme-5.jpg)
![The Great Divide, ASU and U of A football helmets pointing at eachother](images/wcphx2019/divide.jpg)
66% of full-time U.S. Employees strongly believe they do not have work/life balance.
Be realistic…
Be Flexible…
Adjust your workspace…
Plan Ahead…
Designate an "office"…
Discuss it…
## Communication
### Let me count the ways
Slack
Email
Project Management Tools
GitHub
Trello
Synchronous vs Asynchronous
Asynchronous Communication
Time-agnostic
Historical Reference
Allows more than text-based
Transfer real-time to persistent
Communicate in full thoughts
Over-communicate
Explain challenges
Voice concerns
Be verbose
Sources
Gallup State of the American Workplace
Association for Psychological Science: Loneliness and Social Isolation as Risk Factors for Mortality: A Meta-Analytic Review
America Psychological Association Center for Organizational Excellence: By the Numbers: A Psychologically Healthy Workplace Fact Sheet
Work Life Balance Stats from Small Biz Trends (2018)


Ever wondered how large the Earth can possibly be?
NOT ANYMORE
Let's estimate its diameter in real time.
-
Estimate:
-
Real value:
12,742 km
We do this using the
angle between the (approximate)
locations of your device and this server,
plus the
time data takes to travel between both,
plus an arbitrary
multiplier of the speed of light that intends to account for
ordinary propagation delays, buffers, level of indirection in routes, and so on.


|
Smartphone Imu Data
1.0
Documentation for the smartphone subproject
|
Functions | |
| def | dataFileInitializer () |
| Function used initialize the files in which sensor data will be stored; it will generate three files in the 'output' folder. | |
| def | lin_acc_compensate (lin_acc_no_g, threshold) |
| Function used to filter unwanted minimal incoming data fluctuations, due to noise as well as human operator shake. More... | |
| def | storeDataInFiles (fileName, modality, data) |
| Function which stores incoming data into .csv files @params fileName name of the generated file @params modality parameter requested by the open() function: 'a' stands for 'open for appending at the end of the file without truncating it' @params data data to be inserted in the .csv file (orientation/linear acceleration/angular velocity) | |
| def | callback (data) |
| This is the callback function: it is invoked every time there is incoming data and has the duty of calling all the previously mentioned functions as well as eulerAnglesToRotationMatrix(). More... | |
| def | listener () |
| The listener is used to instantiate the homonymous node and to subscribe to the android/imu_corected topic, from which it receives incoming data of smarthpone accelerometers. | |
| def | talker (msg) |
| The talker is used to publish the refined data on the so called 'smartphone' topic. | |
Documentation for the clipping tool. This piece of code receives data from the imu sensor and removes noise from the incoming linear acceleration through a clipping algorithm.
| def clipping.callback | ( | data | ) |
This is the callback function: it is invoked every time there is incoming data and has the duty of calling all the previously mentioned functions as well as eulerAnglesToRotationMatrix().
After these calls, it finally invokes the talker(). In order to achieve all of this, it translates incoming quaternions into euler angles beforehand
| data | data incoming from the imu sensor |
Definition at line 97 of file clipping.py.
| def clipping.lin_acc_compensate | ( | lin_acc_no_g, | |
| threshold | |||
| ) |
Function used to filter unwanted minimal incoming data fluctuations, due to noise as well as human operator shake.
| lin_acc_no_g | linear acceleration along X, Y, Z axes |
| threshold | a threshold computed in the calibration phase to remove unwanted vibrations --------------------------— |
Definition at line 67 of file clipping.py.


|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object com.gracenote.gnsdk.GnSubmit
public class GnSubmit
represents Object's information returned by Gracenote.
| Constructor Summary | |
|---|---|
GnSubmit(GnUser user)
|
|
GnSubmit(GnUser user,
IGnStatusEvents pEventHandler)
Creates a handle to a parcel. |
| Method Summary | |
|---|---|
GnAlbumEdit |
albumEdit(GnAlbum album)
Creates an editable GnDataObject with data derived from a source GnDataObject . |
GnAlbumEdit |
albumEditFromCdToc(java.lang.String cdtoc)
Creates an editable Album GnDataObject to submit data for a specific GnDataObject context. |
GnAlbumEdit |
albumEditFromEmpty(long numTracks)
Creates an editable GnDataObject to submit data for TYPE_ALBUM. |
GnAlbumEdit |
albumEditFromXml(java.lang.String albumXml)
Creates an editable GnDataObject with data parsed from pre-populated, GnDataObject-formatted XML. |
void |
audioProcessFinalize(GnTrack track,
boolean bAborted)
Finalizes the processing of the audio for the given stream. |
void |
audioProcessInit(GnTrack track,
long audioRate,
GnSubmitAudioFormat audioFormat,
long audioChannels)
Initializes the generation of features for a specific audio stream. |
boolean |
audioProcessWrite(GnTrack track,
byte[] audioData,
long audioData_bytes)
Processes audio stream data contained in a parcel. |
void |
audioSourceDetails(GnDataObject dataObject,
GnSubmitFeatureSourceName name,
GnSubmitFeatureSourceId id,
GnSubmitFeatureSourceDescription desc,
GnSubmitFeatureSourceBitRate bitrate,
GnSubmitFeatureSourceBitRateType bitrate_type)
|
static java.lang.String |
buildDate()
|
void |
delete()
|
IGnStatusEvents |
eventHandler()
|
boolean |
isAudioProcessNeeded(GnAlbum album,
boolean bSubmitTestMode)
Prepares a parcel for gathering and generating features. |
boolean |
isCancelled()
|
void |
parcelAdd(GnDataObject dataObject)
Adds a GnDataObject containing metadata to a parcel for submission to Gracenote Service. |
GnSubmitState |
parcelUpload(boolean bSubmitTestMode)
Uploads a parcel to Gracenote Service. |
void |
setCancel(boolean cancel)
|
static java.lang.String |
version()
|
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public GnSubmit(GnUser user, IGnStatusEvents pEventHandler) throws GnException
user
- set User handle for the user making the submit request
Remarks:
Use this function to create an empty, editable parcel for subsequent uploading to Gracenote Service.GnException
public GnSubmit(GnUser user) throws GnException
GnException
| Method Detail |
|---|
public void delete()
public static java.lang.String version()
public static java.lang.String buildDate()
public GnAlbumEdit albumEditFromEmpty(long numTracks) throws GnException
GnDataObject
to submit data for TYPE_ALBUM.
numTracks
- - is the number of tracks
Remarks:
Use this function to create an editableGnDataObject
from a GnDataObject
context (TYPE_ALBUM).
GnException
public GnAlbumEdit albumEdit(GnAlbum album) throws GnException
GnDataObject
with data derived from a source GnDataObject
.
{@link
- GnAlbum}
GnAlbumEdit
Remarks:
Use this function to create an editableGnDataObject
from a source GnDataObject
(TYPE_ALBUM). The
editable GnDataObject
is essentially a close copy (but not a clone) of the source GnDataObject
, containing the
metadata that is editable.
Note:
After the function has completed processing, the child'sGnDataObject
handle must be released
GnException
public GnAlbumEdit albumEditFromXml(java.lang.String albumXml) throws GnException
GnDataObject
with data parsed from pre-populated, GnDataObject-formatted XML.
album_xml
- set Source XML for data used to create a new editable GnDataObject
GnAlbumEdit
Remarks:
Use this function to create an editableGnDataObject
from a specified source of pre-populated and GnDataObject
-formatted XML data (GNSDK_GDO_TYPE_ALBUM). The editable GnDataObject
is essentially a close copy (but not
a clone) of the source XML, containing only editable metadata.
GnException
public GnAlbumEdit albumEditFromCdToc(java.lang.String cdtoc) throws GnException
GnDataObject
to submit data for a specific GnDataObject
context. The album comes
pre-populated with the correct number of track children, but no metadata.
toc
- set CD TOC string
GnAlbumEdit
Remarks:
Use this function to create an editable albumGnDataObject
with the correct number of track children, as
derived from the TOC.
The children are empty, and do not have metadata. You must enter all the children's metadata.
GnException
public boolean isAudioProcessNeeded(GnAlbum album, boolean bSubmitTestMode) throws GnException
dataObject
- set Handle to a GnDataObject
; note that these are generally not editable GDOsflags
- set One of the available Submit Parcel Flags
Remarks:
Use this function to initialize the generation process for features contained in a parcel; this enables Gracenote Service to determine if it requires specific feature data from the parcel, such as a particular audio stream (Track). The function first checks whether the application's license has been enabled for Submit. If not, the function cancels. You can submit Track feature data only for Album GDOs that are generated from a TOC lookup. For an example of performing a TOC lookup, see Example: MusicID TOC Lookup.Important:
Be sure to call DataInitFeature only once per Album.GnException
public void audioProcessInit(GnTrack track, long audioRate, GnSubmitAudioFormat audioFormat, long audioChannels) throws GnException
track_num
- set Ordinal for the audio stream (for albums, this is the track number)audio_rate
- set Sample rate of audio to be provided ( for example: 44100)audio_format
- set The audio formataudio_channels
- set Number of channels for audio to be provided (for example: 2)
Remarks:
Use this function to initialize the generation of a specific audio stream (track). You must ensure the following successfully happens before calling this function: Calling the DataInitFeature function, so the Gracenote Service can identify which audio streams require processing. Initializing the DSP library, in preparation for track fingerprint generation.GnException
public void audioSourceDetails(GnDataObject dataObject, GnSubmitFeatureSourceName name, GnSubmitFeatureSourceId id, GnSubmitFeatureSourceDescription desc, GnSubmitFeatureSourceBitRate bitrate, GnSubmitFeatureSourceBitRateType bitrate_type) throws GnException
GnException
public boolean audioProcessWrite(GnTrack track, byte[] audioData, long audioData_bytes) throws GnException
audioData
- set Pointer to audio data buffer that matches the audio format describedaudioData_bytes
- set Number of audio data bytes in this samplebool
- Remarks:
Use this function to pass in a parcel's audio data for processing.GnException
public void audioProcessFinalize(GnTrack track, boolean bAborted) throws GnException
abort
- set Boolean value to indicate whether the finalization process must stop operating,
due to processing errors
Remarks:
Use this function to finalize write processing for a feature. This function must be called before the feature can be uploaded. If your application receives an error or aborts while calling this function, be sure the application calls the upload function (upload). This ensures sending important information to Gracenote that is useful for error resolution.GnException
public void parcelAdd(GnDataObject dataObject) throws GnException
GnDataObject
containing metadata to a parcel for submission to Gracenote Service.
dataObject
- set Handle to a GnDataObject
of a supported context
Remarks:
Use this function to add aGnDataObject
to a parcel prior to subsequently uploading the parcel to
Gracenote Service, such as passing in an editable Album GnDataObject
with metadata to a parcel.
GnException
public GnSubmitState parcelUpload(boolean bSubmitTestMode) throws GnException
flags
- set An available Submit parcel flag
GnSubmitState
Remarks:
Use this function to submit a completed parcel to Gracenote Service. If your application receives an error or aborts while calling the finalization function, be sure the application calls the upload function. This ensures sending important information to Gracenote that is useful for error resolution.GnException
public IGnStatusEvents eventHandler()
public void setCancel(boolean cancel)
public boolean isCancelled()
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- Session_I - Interface in ems.idls.session
-
The Session_I interface provides capabilities to manage the
client-server connection.
- Session_IHelper - Class in ems.idls.session
-
The Session_I interface provides capabilities to manage the
client-server connection.
- Session_IHelper() - Constructor for class ems.idls.session.Session_IHelper
-
- Session_IHolder - Class in ems.idls.session
-
The Session_I interface provides capabilities to manage the
client-server connection.
- Session_IHolder() - Constructor for class ems.idls.session.Session_IHolder
-
- Session_IHolder(Session_I) - Constructor for class ems.idls.session.Session_IHolder
-
- Session_IImpl - Class in ems.guiclient
-
Session_IImpl extends from the Session_IPOA skeleton file (server implementation)
that was created from running the idlj Java IDL compiler on the
session.IDL file.
- Session_IImpl() - Constructor for class ems.guiclient.Session_IImpl
-
Default Constructor
- Session_IOperations - Interface in ems.idls.session
-
The Session_I interface provides capabilities to manage the
client-server connection.
- Session_IPOA - Class in ems.idls.session
-
The Session_I interface provides capabilities to manage the
client-server connection.
- Session_IPOA() - Constructor for class ems.idls.session.Session_IPOA
-
- setAgentSession(Session_I) - Method in class ems.guiclient.GuiFrame
-
Update/store reference to the remote Agent Session interface object
- setAssociatedSession(Session_I) - Method in class ems.guiclient.Session_IImpl
-
Store the associated session
- setLogLevel(platformConfigLogLevel) - Method in class ems.idls.platformConfig._platformConfig_IStub
-
Set a specified log level
- setLogLevel(platformConfigLogLevel) - Method in interface ems.idls.platformConfig.platformConfig_IOperations
-
Set a specified log level
- setLogLevels(platformConfigLogLevel[]) - Method in class ems.idls.platformConfig._platformConfig_IStub
-
Set all of the log levels
- setLogLevels(platformConfigLogLevel[]) - Method in interface ems.idls.platformConfig.platformConfig_IOperations
-
Set all of the log levels
- severityLevel - Variable in class ems.idls.platformConfig.platformConfigLogLevel
-
- subsystemEnum - Variable in class ems.idls.platformConfig.platformConfigLogLevel
-
Should correspond to the sequence index
- subsystemName - Variable in class ems.idls.platformConfig.platformConfigLogLevel
-


atesa.handle_groupfile¶
-
atesa.
handle_groupfile
(job_to_add='', settings=<class 'argparse.Namespace'>)[source]¶ Update attributes of settings.groupfile_list and return name of the groupfile that should be written to next.
Routine to handle groupfiles when necessary (i.e., when groupfile > 0). Maintains a list object keeping track of existing groupfiles and their contents as well as their statuses and ages. This function is called in makebatch() to return the name of the groupfile that that function should be writing to, and subbatch() redirects here when groupfile > 0. Finally, it is called at the end of every main_loop loop to update statuses as needed.
job_to_add is an optional argument; if present, this function appends the name of the job given to the <CONTENTS> field for the groupfile that it returns. This puts the onus on the code that calls handle_groupfile() to actually put that job in that groupfile, of course!
- Process flow for this function:
iterate through existing list of groupfiles as read from settings.groupfile_list
update statuses as necessary
submit any of them that have status “construction” and length == settings.groupfile, or age > settings.groupfile_max_delay and length >= 1 (where length means number of lines)
if the list no longer contains any with status “construction”, make a new, blank one and return its name
otherwise, return the name of the groupfile with status “construction”
- Format of each sublist of settings.groupfile_list: [<NAME>, <STATUS>, <CONTENTS>, <TIME>]
<NAME> is the name of the groupfile <STATUS> is any of:
“construction”, meaning this groupfile is the one to add new lines to (only one of these at a time), “completed”, meaning the groupfile was submitted and has since terminated, “processed”, meaning the groupfile has been fed through main_loop and followup jobs submitted, or a string of numbers indicating a jobid of a currently-running groupfile
<CONTENTS> is a list of the jobs contained in the groupfile (their (thread.name + ‘_’ + thread.type) values) <TIME> is the time in seconds when the groupfile was created
if the current time - TIME > settings.groupfile_max_delay, then the groupfile is submitted regardless of length (assuming it’s at least of length 1)
- Parameters
job_to_add (str) – Name of job to append to the current groupfile’s settings.groupfile_list entry. Default = ‘’ (don’t add any jobs)
settings (Namespace) – Global settings Namespace object.
- Returns
Name of the groupfile to which new jobs should be appended.
- Return type
str