CLOCK_GETTIME
Section: Linux Programmer's Manual (2)Updated: 2004-March-12
Index Return to Main Contents
NAME
clock_gettime - Return the current timespec value of tp for the specified clockSYNOPSIS
- long sys_clock_gettime (clockid_t which_clock, struct timespec *tp);
DESCRIPTION
clock_gettime returns the current timespec value of tp for the specific clock, which_clock. The values that clockid_t currently supports for POSIX.1b timers, as defined in include/linux/time.h, are:
- CLOCK_REALTIME
- Systemwide realtime clock.
- CLOCK_MONOTONIC
- Represents monotonic time. Cannot be set.
- CLOCK_PROCESS_CPUTIME_ID
- High resolution per-process timer.
- CLOCK_THREAD_CPUTIME_ID
- Thread-specific timer.
RETURN VALUE
clock_gettime returns 0 on success; otherwise, it returns one of the errors listed in the "Errors" section.
ERRORS
- -EINVAL
- An invalid which_clock value was specified.
- -EFAULT
- Can not coy to tp value.
SEE ALSO
clock_getres(2), clock_nanosleep(2), clock_settime(2)
AUTHOR
Niki Rahimi
Index
This document was created by man2html, using the manual pages.
Time: 05:33:03 GMT, December 24, 2015


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/fin.20find.html ---
Suppose that I have a set s : set (fin n)
and I know that s
is non-empty and that s
is a decidable predicate on fin n
. Is there a way to produce the least element of s
? I was hoping to find something similar to nat.find
for fin
but haven't come across it yet.
Convert it to a finset
, then use finset.sorted
to produce a list, then take the head? I don't know of an existing function.
How do I do the first conversion?
finset.univ.filter (\lam x, x \in s)
??
Thanks!
I ended up using finset.min'
Last updated: Apr 24 2020 at 19:02 UTC


CodeReach Application
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There are two primary institutions of student self-governance at Bryn Mawr. The first is the Self-Government Association (SGA) Constitution, a living document outlining the purpose and rules of the Self-Government Association. The second is the Academic and Social Honor Code, a set of principles stressing personal integrity and mutual respect to which all students agree to adhere. Both of these documents can be amended biannually at Plenary after being discussed and voted upon by the students present.


--- title: Designing a Secure REST (Web) API without OAuth layout: post ---
You want to develop a RESTful web API for developers that is secure to use, but doesn’t require the complexity of OAuth and takes a simple “pass the credentials in the query” approach… or something equally-as-easy for people to use, but it needs to be secure.


Become a Wingman
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Education can't include numbers.
Job can't include numbers
{{country_item.Text}}
Country is required
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State is required
{{ankara_item.Text}}
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Your candidate's predicted job satisfaction is {{ predJS }}.
Their predicted preformance rating is {{ predPR }}.
These scores are out of 5. Thank you for using our predictor.


{{ageYear | number}} years {{ageMonth}} months {{ageDay}} days {{ageHour}} hours {{ageMinute}} minutes or {{ageYear * 12 + ageMonth}} months {{ageDay}} days or {{ageTotalDays | number}} days or {{ageTotalHours | number}} hours


D
D
Jack Smith
Freelancer programmer
I am a professional JavaScript developer who needs to sit in one place. I have been developing corporate solutions for companies from Ukraine and abroad for more than 4 years. During my career I made many rakes and wrote not one dozen bicycles, but now I want to share this experience with students so that they can grow and make as little mistakes as I ever made.
Lead Modules:
- JavaScript Programming (Part 1)
- JavaScript Programming (Part 2)
- JavaScript Programming (Part 3)
- Diploma project in JavaScript


180 Ang Mo Kio Avenue 8, 569830
Nanyang Polytechnic, Singapore
Email<EMAIL_ADDRESS>Contact: +65 81637252
Daniel, Team Leader
Arrange an appointment with us or drop us a text!


This scenario provides an example when an app wishes to store/retrieve/remove a password from PasswordVault.
1. To add a credential, fill the resource, username and password, click "Save Credential", then a credential will be added to PasswordVault.
2. To search a credential, fill resource or username, or both, click "Read Credential", then the search result will be returned.
3. To remove a credential, fill both resouce and username, then click "Delete Credential", then the credential will be removed from PasswordVault.
Note: This scenario also demonstrates initializing the PasswordVault asynchronously, for cases in which the first call to the PasswordVault may take a little more time. Also due to credential isolation, this sample only can access credentials
written by itself, it cannot access any credentials created by other apps or processes.


Loading Skynet (This may take a minute, 40mb)...
Sorry! An error occured while loading the model 😢
If you're on an iPhone, please try using Safari.
Point me at something, but please be a bit patient while I try to figure out what it is!
(Ex. person, keyboard, cell phone, car, pet, etc.)


{% extends "main/base.html" %} {% block title %} Password Reset {% endblock title %} {% block content %}
We've emailed you instructions for setting your password. If they haven't arrived in a few minutes, check your spam folder.


DANIAL FAISAL
3114 North 97th Street, Apt 138, Omaha, NE, 68134
<EMAIL_ADDRESS>(402) 840-2194
EDUCATION:
University of Nebraska-Lincoln
Bachelor of Science in Mechanical Engineering
Masters of Science in Management Information Systems
Graduation:May 2020
M.S Course work completed (software tools used for projects):
1. Internet Systems Development (Python, Django, Heroku, Selenium, git)
2. Data Organization & storage (sql, Oracle Data modeler/developer, Microsoft ac-cess)
3. Overview of Systems development (Oracle Data modeler, Microsoft office)
4. Information systems & ethics
M.S Course work in progress (software tools going to be used for projects)
1. Interactive Data Visualization (RStudio, Tableau)
2. Management of Software Development (Python, Django, Heroku, Selenium, git)
3. Data communications
WORK EXPERIENCE:
Omaha Standard Palfinger, Council Bluffs, Iowa
Project Engineer, Work truck Bodies, May 2015-Present
Lead Engineer for the Development of a new line of Crane reinforced Platforms.
Lead Engineer for Custom Orders of Mechanic trucks, Work Truck bodies & Platforms
Developed a custom line of all through Work truck bodies for the Fire department of the New Jersey Department of transportation.
Developed a dual extending heavy duty Tray with a dual latching mechanism for the New Jersey department of transportation
Proficient in utilizing SAP software for part creation, raw material assignment, costing, drawing linkages and BOM organization
Currently getting trained to program SAP variant configurator
Passed an 8-week welding course
MAMAC SYSTEMS, Chanhassen, Minnesota
Intern at the Manufacturing operations department, May 2013-July2013
Assisted in the production of pressure sensors using MEMS technology under the supervision of the company’s CEO Asim Gul
Assisted with the processes of Deposition on glass and silicon substrates, Photolithography, Etching and Wiring
Performed and supervised the testing processes for the Sensors, including the physical appearance tests (checking for rainbows, bubbles and other deformities) capacitance tests, wiring tests and the pressure tests
Operated the Circuit board printing Juki machine including the software, the replacement of the electrical components and performed tasks for the maintenance of the machine
Performed other miscellaneous tasks including assembling the sensors with circuit boards, training new employees for sensor testing and machining failed products.
Reference: Diane McMillan, vice president of Manufacturing Operations,<PHONE_NUMBER> ext. 4903<EMAIL_ADDRESS>United Nations Office for Project Services (UNOPS), Yangon, Myanmar
Intern at the PSM unit of PR-UNOPS GFATM office, June 2012-July 2012
Managed vaccination ordering and transportation.
Organized vaccination data, delivery and pick up scheduling.
Researched and organized storage requirements including storage facility size,
Researched and organized vaccination storage requirements including expiration times and required temperatures for different vaccinations
Assisted with the paperwork for the management of receiving and supplying large quantities of medicines to remote areas
Accompanied Managers on field work including negotiating with custom officers and training medical staff on the proper storage of medicines
COMPUTER SKILLS:
Programs: SAP, SolidWorks, Pro-E, AutoCAD, basic level java, Matlab, LabView, Trane trace 700, Microsoft office
ACTIVITIES:
Vice president of University of Nebraska Cricket club, UNCC
Captain/Manager of Palfinger soccer team in Omaha


Introduction
Since the first case reported in January 2020, people around the world are suffering the plague caused by COVID-19 and it is still causing deaths. As of the moment when the study is conducted, there have been more than 32 millions cumulative confirmed cases worldwide, which caused almost 1 million of death. Canada is also experiencing an ongoing outbreak, with more than 150,000 cumulative confirmed cases caused over 9,000 deaths. Due to limited knowledge about the virus, there is no confirmed effective medicine or vaccine so far. Therefore it is significant to analyze the characteristics of the virus in different dimensions. By looking at specifically the age and gender feature of infected cases in Toronto, we find that both of the factors closely associate with the spread of COVID-19. Note that all data in the study is based on COVID-19 CASES IN TORONTO ANALYSIS dataset (@citeopendatatoronto).
I focus my study on finding the relationship between age and gender versus the possibility and severity.To represent the severity, I used the data of whether the confirmed case have ever been hospitalized, in ICU or Intubated. Despite the fact that more younger people got infected in Toronto, elder people tend to experience a more severe outcome once got infected. In terms of gender, even though female is found to be more likely to get infected, male demonstrated a higher rate to be in ICU and intubated.
The weakness of the study is obvious, as the sampling population is too local to be globally representative. Moreover, due to the quick evolution process of the virus, some earlier data might be outdated to generalize the characteristics of the virus on current stage. More precise analysis is required for a globally sampled population.
Data Discussion
The COVID-19 CASES IN TORONTO ANALYSIS dataset include basic biological information, geographic information and severity information of all cases reported by Toronto Public Health. The dataset contains 17872 observations of 18 variables where each observation summary the information of an individual case. In our study, we only focus on the following 7 variables:
Age Group: The age at the time when the case is confirmed.Age groups (in years): ≤19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89, 90+, unknown (blank)
Classification: Whether the case is medically confirmed to be infected or probable to be infected, according to the Ontario provincial case definition. Classification:CONFIRMED, PROBABLE
Client Gender: The self-reported gender of the confirmed case. Client Gender:FEMALE, MALE, OTHER, TRANSGENDER, UNKNOWN
Outcome: The status of the case as of current date. Outcome: Fatal, Resolved, Active(case that is neither fatal nor resolve)
Ever Hospitalized: Whether the case was hospitalized caused by their COVID-19 infection, including currently hospitalized, resolved and fatal cases.
Ever in ICU: Whether the case was in ICU caused by their COVID-19 infection, including currently hospitalized, resolved and fatal cases.
Ever Intubated: Whether the case was Intubated caused by their COVID-19 infection, including currently hospitalized, resolved and fatal cases.


Hello, and welcome to Crystal collector!
You will be given a randomly selected number at the beginning of each round.
There are four crystals below. By clicking on a crystal you will between 1 and 12 to your total score.
The object of the game is to match you score with the generated number above the crystals.
The value of each crystal is hidden to make it more challenging, and will change value each new round!
Let's see how many wins you can get!
Ready...Set...GO!!!


This example shows how to synchronise data in an input field between four clients. Data is sent via the WebRTC DataChannel, represented by the DataShare API.
input


#
Introduction
Clickwise pixel conversion tracking structure.
On this page
The pixel is an image that is integrated in the confirmation page of a purchase or registration; or in platforms, such as Google Tag Manager, which have specific fields to add that pixel.This pixel is triggered by cookies, which are automatically saved on the computers of customers who have previously clicked on a banner from Clickwise.
If a purchase is made directly from the page without passing previouslyby our redirection, the pixel will not work
The Pixel
<img width="1" height="1" src="https://r.clickwise.net/t/{campaign-id}/{action-code}/{order-id}?total-cost={total-cost}¤cy={currency}"/>
Tracking URLs
Following possible configurations:
Host: r.clickwise.net
Path Params: /t/{campaign}/{action-code}/{order-id}
| Field | Type | Description |
|---|---|---|
| campaign-idrequired | String | Unique campaign ID on the Clickwise platform |
| action-coderequired | String | Valid action code active in campaign |
| order-idrequired | String | Unique order/action ID |
Query Params:
All query parameters accepted by tracking URL. (param1={param1}¶m2={param2})
| Field | Type | Description |
|---|---|---|
| total-cost% action required | Float | Order amount without shipping |
| currencyoptional | String | 3 char currency code |
| order-idrequired | String | Unique order/action ID |


Checkers
Github repository
Rules
User data form
Please fill the form with your data and hit the submit button!
Name
Email
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Submit


Rotativa PDF converter example running on Docker in .NET Core.
This repository exactly based on this example https://github.com/webgio/Rotativa.AspNetCore
As a difference, this example works on the Docker Linux (bionic) container.


1 Kings 8:64
The same day did the king hallow the middle of the court that was before the house of the LORD: for there he offered burnt offerings, and meat offerings, and the fat of the peace offerings: because the brazen altar that was before the LORD was too little to receive the burnt offerings, and meat offerings, and the fat of the peace offerings.


The architectural framework of the Aika algorithm allows to implement a broad spectrum of diverse training mechanisms. These training mechanisms have their roots within the different artificial intelligence concepts that Aika brings together.
A standard training method that can be used for the Aika network as well is the delta rule.
$$\Delta w_{ij} = \alpha (t_j - y_j) x_i$$
Where \(\alpha \) is the learn rate, \(t_j \) is the target output value, \(x_i \) is the input activation value
and \(y_j \) is the actual output activation value. \(\Delta w_{ij}\) is the change that is added to the
synapse weight after each training round.
To perform supervised training on an input data set, the target values have to be assigned to the output
activations. This can be done in the following way:
out.addInput(doc,
new Activation.Builder()
.setRange(0, 3)
.setValue(0.0)
.setTargetValue(1.0)
);
The actual training is the started using the method call doc.supervisedTraining.train().
Long-term Potentiation (LTP) and Long-Term Depression (LTD) are two learning mechanisms that occur naturally in the brain.
LTP is the process of a persistent strengthening of synapses based on recent
patterns of activity. These are patterns of synaptic activity that produce a long-lasting increase in signal
transmission between two neurons. The opposite of LTP is long-term depression, which produces a long-lasting
decrease in synaptic strength.
LTP also gave rise to Hebbs learning rule which can be summarized by the expression "What fires together
wires together".
The following is a formulaic description of Hebbian learning:
Where \(\alpha \) is the learn rate, \(x_i \) is the input activation value and \(y_j \) is the output
activation value.
The weakness of Hebbs learning rule is that the strength of synapses will increase infinitely, which means
that networks based on the Hebb rule are unstable.
The attempt to model LTP in Aika looks as follows:
Where \(\alpha \) is the learn rate, \(h_j\) is a measure for the pattern match of conjunctive synapses. \(net_j\) is the weighted sum and \(g_j^+\) is the sum of all positive weights. The term \((1 - y_j) \) is used to limit the strength of the synapse and prevent it from growing indefinitely. The term \(net_j \over g_j^+ \) measures how well the current input pattern matches the already trained pattern of the outgoing neuron. The \(\sigma_{ij} \) parameter is optional and allows to specify a significance for the synapse. An implementation may look like this:
$$\sigma_{ij} = (f_i f_j)^\eta$$
In this formula the values \(f_i \) and \(f_j \) are the activation frequencies of the input and the output
neuron. \(\eta\) is used to adjust the strength of the significance parameter.
Long-term Depression (LTD) comes into play when the incoming and outgoing neurons of a synapse do not fire
at the same time. But the weakening effect of LTD depends on whether the synapse has an conjunctive or an
disjunctive characteristic. Conjunctive synapses are only weakened when the input neuron is inactive and the
output neuron is active. Disjunctive synapses are handled the other way around.
Conjunctive synapses are usually used in excitatory neurons to detect a pattern. This means that if an input
feature is not present in the training data set but the pattern neuron is activated nevertheless, that the
responsible input synapse will be weakened.
With disjunctive synapses the output neuron usually fire as soon as the input neuron is activated. But it
might be suppressed by another negative input synapse. In this case the input neuron of a disjunctive synapse
will fire but not the output neuron, which means the synapse will be weakened.
Both LTP and LTD can be performed on a training document using the method LongTermLearning.train().
When training large neural networks, you quickly come across the problem that the number synapses grows
quadratic with the number of neurons in a fully connected network. Even for a rather small network with a
million neurons, the number of synapses would grow to up to a trillion if you were about to connect all
neurons. Even testing if a synapse
should be created between two neurons can easily become too expensive. It would also be desirable to generate
new neurons only when they are needed instead of randomly before starting to train the network.
To solve these problems, Aika introduces a meta layer to its network. The neurons and synapses from this meta
layer are used to instantiate new neurons and synapses within Aikas neural network. The meta layer consists
just of an additional set of parameters to some of the neurons and synapses.
A meta-neuron can be activated just like any other neuron, but when the meta-neuron is activated a new neuron
is generated from the meta parameters and meta-synapses of this neuron. To prevent that a new neuron is
generated, even though another neuron representing this information already exists, a feedback loop with an
inhibiting neuron is needed. This feedback loop allows to suppress the meta-neuron if the information that
it is supposed to learn is already known to the network.
The input synapses of the meta-neuron can be regular synapses, a combination of a regular synapse and a meta
synapse or a pure meta-synapse. A pure meta-synapse would have no effect on the activation of the meta
neuron. It is just used to create the new neuron.
Another special feature of input meta-synapses is that when they connect to an inhibitory neuron, the generated synapse will not connect to the inhibitory neuron itself, but to the excitatory neuron that activated the inhibitory neuron. In this case the synapse between inhibitory neuron and the meta-neuron is positive, event though outgoing synapses of inhibitory neurons are usually negative. The purpose of this feature is to allow meta-synapses to define connections between abstract categories. However, the resulting synapse connects the concrete instances of these categories.
Meta-neurons can be created using the method MetaNetwork.initMetaNeuron(). Synapses are added to this meta neuron in the following way:
new MetaSynapse.Builder()
.setSynapseId(1)
.setNeuron(wordInhib)
.setWeight(20.0)
.setBias(-20.0)
.addRangeRelation(Range.Relation.BEGIN_TO_END_EQUALS, 0)
.setRangeOutput(false)
.setMetaWeight(20.0)
.setMetaBias(-20.0)
To generate new neurons and synapses based on an already processed training document, the method MetaNetwork.train() needs to be called.
Since Aika is using a pattern lattice as underlying data structure for neurons, we might be able to use this
pattern lattice as an unsupervised training method for the network.
The pattern lattice allows to enumerate all frequent or otherwise statistically interesting patterns
and use them to generate new neurons. Therefore, we do not have to retrain existing neurons and risk losing
the conceptual knowledge they have already accumulated.
The pattern discovery process can be started by calling the discover method in the PatternDiscovery class.


{% extends 'votings/base.html' %} {% comment %} Copyright 2018 - 2019 Fabian Wenzelmann Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. {% endcomment %} {% load bootstrap4 %} {% load currency %} {% load hash %} {% block content %}


--- layout: post title: ! 'Rails 2.3.3: Touching, faster JSON, bug fixes' categories: [] author: David published: true date: 2009-07-20 17:28:00.000000000 +01:00 ---
We’ve released Ruby on Rails version 2.3.3. This release fixes a lot of bugs and introduces a handful of new features.
touch
is a convenient method to update a record’s timestamp and nothing else. This is extracted from apps whose models “touch” others when they change, such as a comment updating the parent.replies_changed_at timestamp after save and destroy. Timestamping an entire has_many association makes it easy to build a key for fragment caching that covers changes to the parent object and any of its children. This pattern is wrapped up as belongs_to :parent, :touch => :replies_changed_at
. When the child changes, parent.replies_changed_at
is touched. :touch => true
is defaults to :touch => :updated_at
.:primary_key
option for belongs_to
for broader support of legacy schemas and those using a separate UUID primary key: belongs_to :employee, :primary_key => 'SSN', :foreign_key => 'EMPID'
changesetActiveSupport::JSON.backend = 'JSONGem'
.to_json
with varying compatibility, safely overriding it is difficult. Most custom to_json
looks like
def to_json(*encoder_specific_args)
{ :some => "json representation" }.to_json(*encoder_specific_args)
end
so we DRYed the user-facing API down to a more natural
def as_json(options = {})
{ :some => "json representation" }
end
without the ugly internal state exposed by overloading to_json
as both public-facing and internal builder API. Rails 3 splits the API explicitly, so prepare now by switching from to_json
to as_json
.


You turn around sharply and scream like a maniac.
Unfortunately, the hungry bear behind you is unimpressed.
He eats you anyway
This is the end of the game for you my friend. I am afraid you have died.
---> Restart Adventure@(message: String) @main("Welcome to Play 2.3") {
You turn around sharply and scream like a maniac.
Unfortunately, the hungry bear behind you is unimpressed.
He eats you anyway
This is the end of the game for you my friend. I am afraid you have died.
---> Restart Adventure


Hi there! Welcome to my website! 😊
This is meant to be my "public" personal space, a bit like websites before social media were.


Click here for Musical Data From "Across the Road" from Escape from New York
Listen to 'Across the Road' from Escape from New York that was created using Ableton Live and MuseScore. Minimalist in comparison with the main theme!
Listen to "Across the Road"


--- layout: data_model title: LinuxPackageObjectType this_version: 1.0.1 ---
The LinuxPackageObjectType type is intended to characterize Linux packages.
| Field Name | Type | Description |
|---|---|---|
| @object_referenceoptional | QName |
The object_reference field specifies a unique ID reference to an Object defined elsewhere. This construct allows for the re-use of the defined Properties of one Object within another, without the need to embed the full Object in the location from which it is being referenced. Thus, this ID reference is intended to resolve to the Properties of the Object that it points to. |
| Custom_Properties0..1 | CustomPropertiesType |
The Custom_Properties construct is optional and enables the specification of a set of custom Object Properties that may not be defined in existing Properties schemas. |
| Architecture0..1 | ArchitectureType |
The Architecture field specifies the architecture for which the package was built. |
| Category0..1 | StringObjectPropertyType |
The Category field specifies the categories under which a package may be displayed. |
| Description0..1 | StringObjectPropertyType |
The Description field specifies an in-depth description of a package. |
| Epoch0..1 | StringObjectPropertyType |
The Epoch field specifies the epoch number of the package. |
| EVR0..1 | StringObjectPropertyType |
The EVR field specifies the epoch, version, and release fields of the package as a single version string. |
| Name1..1 | StringObjectPropertyType |
The Name field specifies the name of the package. |
| Release0..1 | StringObjectPropertyType |
The Release field specifies the release number of the package build. |
| Vendor0..1 | StringObjectPropertyType |
The Vendor field specifies the vendor that holds the software copyright of the package. |
| Version0..1 | StringObjectPropertyType |
The Version field specifies the version number of the package build. |


THE FACULTY by DeWyNGaLe * * * 1 / 2
Kevin Williamson is now without a doubt one of the most acclaimed writers in America today. He has worked hard to get where he is, and with The Faculty, he proves that he is a grade-a writer. In his latest movie, The Faculty, he teams up with Robert Rodriguez director of From Dusk Till Dawn and Desperado. How could it lose?? It didn't at all. In The Faculty, the plot is that aliens are taking over the teachers at Harrington High. The high school is located in a pretty crummy part of Ohio, where it isn't very nice at all. One attraction that the city loves is the football games every Friday night. Almost the entire town is there. As we see more into the high school, we learn about the students. There is a large variety of different types of people, unlike many other movies.
We are introduced to Casey, played by the upcoming Elijah Wood.  Supposedly, every school has a kid like him, and Casey is that kid in Harrington High. We see alot of Casey throughout the movie, and his personality kind of grows on to you. We also meet Zeke. Supposedly, there is also one of Zeke in every school. Zeke is played by the also upcoming Josh Hartnett. Zeke is the class clown. He sells drugs and other related items to the students at Harrington High. Stan is played by Shawn Hatosy. He gets terrible grades and is the captain of the football team. He is dating Deliah played by Jordana Brewster. She is the school gossiper, and she writes for the school paper. Stokely is a very different person. She is played by Clea DuVall and is extremely mean to everyone else.  Marybeth (Laura Harris) is the new girl in school. She came from Georgia and doesn't have many friends considering she is brand new to the school. She tries making friends with Stokely, but Stokely just tells her off.
Now, meet the faculty. There is Mr. Furlong, (Jon Stewart) the science teacher, Principal Drake (Bebe Neuwirth), Nurse Harper (Salma Hayek), Coach Wills (Robert Patrick), Miss Burke, (Famke Janssen) the English teacher, Mr. Tate (Daniel Von Bargen), and Miss Olsen (Piper Laurie). One by one, the faculty is turned to aliens who want the students and the entire city turned into the same species. The faculty needs water as much as possible for some reason. They drink and drink and drink. A teacher runs to a shower but dries out because did not have enough water. At this point, the students are getting a little bit suspicious as the teacher's personalities completely change.
The first time they know for sure something is going on is when Deliah and Casey sneak into the faculty lounge. They hide in the closet when some of the staff members enter. They find a body of a teacher in the closet and they see some weird events occur among the teachers as they watch through the cracks. They run and now the teachers now that the students know. When Casey and Deliah try to inform others, people just think they are crazy. At night, Casey even sees three faculty members outside of his house waiting, considering he knows.
Another incident occurs when the six students meet in the same room and an odd encounter with Mr. Furlong happens.  Stokely is a sci-fi freak and gives many tips about what to do and what is going to happen. The students conclude that they can be dried out by Zeke's drugs. All six must take some of the drugs to prove they aren't one of them. As you guessed it, one or maybe even two or three of the kids are aliens. They do escape though and aren't seen until later on.
The remaining kids are determined to find the leader of the aliens. They go to the football game suspecting that the leader is Coach Willis. The football team is obviously turned because they are continuously attacking the opposing team. It's a good thing that Stan quit the team before this encounter. Or was it too late? When the students find the master, this is where the special effects kick in. We see a huge, gross alien that wants to turn every human being into one of them. A very suprising conclusion takes place, and that is great especially in horror movies.
As The Faculty started, it seemed like the same old stuff. The first fifteen minutes were pretty slow and that's why it didn't get the perfect four. The plot wasn't the best in the world either, but the way the actors brought the screenplay to life, it was very nicely done. The cast is what brought The Faculty to a great level. Piper Laurie, Clea DuVall, and Elijah Wood brought the most into this sci-fi/horror flick. For all of you who thought Usher Raymond, popular rap singer, was in the movie, think again. He appeared for about five minutes as a role that we didn't get to know. With such a large ensemble cast, you would think that the character development wouldn't be all that great. Think again, you could pretty much write a book about each character. Hands down to Kevin Williamson and Robert Rodriguez for bringing us the best horror flick of the year. It may not have been extremely scary, but it was certainly very nicely put together and will go down as a classic.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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|
f1tenth_gym
|
Public Member Functions | |
| def | __init__ (self, **kwargs) |
| def | __del__ (self) |
| def | step (self, action) |
| def | reset (self, poses) |
| def | update_map (self, map_path, map_ext) |
| def | update_params (self, params, index=-1) |
| def | render (self, mode='human') |
Static Public Attributes | |
| dictionary | metadata = {'render.modes': ['human', 'human_fast']} |
OpenAI gym environment for F1TENTH Env should be initialized by calling gym.make('f110_gym:f110-v0', **kwargs) Args: kwargs: seed (int): seed for random state and reproducibility map (str, default='vegas'): name of the map used for the environment. Currently, available environments include: 'berlin', 'vegas', 'skirk'. You could use a string of the absolute path to the yaml file of your custom map. map_ext (str, default='png'): image extension of the map image file. For example 'png', 'pgm' params (dict, default={'mu': 1.0489, 'C_Sf':, 'C_Sr':, 'lf': 0.15875, 'lr': 0.17145, 'h': 0.074, 'm': 3.74, 'I': 0.04712, 's_min': -0.4189, 's_max': 0.4189, 'sv_min': -3.2, 'sv_max': 3.2, 'v_switch':7.319, 'a_max': 9.51, 'v_min':-5.0, 'v_max': 20.0, 'width': 0.31, 'length': 0.58}): dictionary of vehicle parameters. mu: surface friction coefficient C_Sf: Cornering stiffness coefficient, front C_Sr: Cornering stiffness coefficient, rear lf: Distance from center of gravity to front axle lr: Distance from center of gravity to rear axle h: Height of center of gravity m: Total mass of the vehicle I: Moment of inertial of the entire vehicle about the z axis s_min: Minimum steering angle constraint s_max: Maximum steering angle constraint sv_min: Minimum steering velocity constraint sv_max: Maximum steering velocity constraint v_switch: Switching velocity (velocity at which the acceleration is no longer able to create wheel spin) a_max: Maximum longitudinal acceleration v_min: Minimum longitudinal velocity v_max: Maximum longitudinal velocity width: width of the vehicle in meters length: length of the vehicle in meters num_agents (int, default=2): number of agents in the environment timestep (float, default=0.01): physics timestep ego_idx (int, default=0): ego's index in list of agents
| def f110_gym.envs.f110_env.F110Env.__del__ | ( | self | ) |
Finalizer, does cleanup
| def f110_gym.envs.f110_env.F110Env.render | ( | self, | |
mode = 'human' |
|||
| ) |
Renders the environment with pyglet. Use mouse scroll in the window to zoom in/out, use mouse click drag to pan. Shows the agents, the map, current fps (bottom left corner), and the race information near as text. Args: mode (str, default='human'): rendering mode, currently supports: 'human': slowed down rendering such that the env is rendered in a way that sim time elapsed is close to real time elapsed 'human_fast': render as fast as possible Returns: None
| def f110_gym.envs.f110_env.F110Env.reset | ( | self, | |
| poses | |||
| ) |
Reset the gym environment by given poses Args: poses (np.ndarray (num_agents, 3)): poses to reset agents to Returns: obs (dict): observation of the current step reward (float, default=self.timestep): step reward, currently is physics timestep done (bool): if the simulation is done info (dict): auxillary information dictionary
| def f110_gym.envs.f110_env.F110Env.step | ( | self, | |
| action | |||
| ) |
Step function for the gym env Args: action (np.ndarray(num_agents, 2)) Returns: obs (dict): observation of the current step reward (float, default=self.timestep): step reward, currently is physics timestep done (bool): if the simulation is done info (dict): auxillary information dictionary
| def f110_gym.envs.f110_env.F110Env.update_map | ( | self, | |
| map_path, | |||
| map_ext | |||
| ) |
Updates the map used by simulation Args: map_path (str): absolute path to the map yaml file map_ext (str): extension of the map image file Returns: None
| def f110_gym.envs.f110_env.F110Env.update_params | ( | self, | |
| params, | |||
index = -1 |
|||
| ) |
Updates the parameters used by simulation for vehicles Args: params (dict): dictionary of parameters index (int, default=-1): if >= 0 then only update a specific agent's params Returns: None


Depression runs in my family. I myself have experienced it to some degree in the past but mostly never had any real problems until I gratuated college and remained in a sort of limbo for two years with not much to do until I entered grad school. Beginning grad school was quite a tramatic experience, with the high stress of competetion, dpeartment politics, and intense scrutiny from my advisors. I fell into a profund depression remaining functional on the outside but experiencing horrible feelings of anxiety, social self-consciousness, slow thought processing, zero creativity, negative thoughts, an ever so slight and constant disociative feeling, and generally feeling like I was inside Sylvia Plath's 'Bell jar'. Everyday I was seriously considering dropping out of grad school or worse.
I already took Ritalin for ADHD diagnosed when I was in the first grade and now I was using it to treat my depression by taking large amounts at a time (30-40 mg). This approach was unsuccessful I might add leaving me feeling emptier than ever after about a two hour 'high'.
I was very wary of trying anything else in the prescription market because my father has a huge prescription drug addiction he has never come to terms with. I have always had ambivalent feelings about taking Ritalin even though when I take it moderately and only for the things I have most difficulty focusing on, it works great.
So, it was with some reluctance that I made myself go to the psychiatrist for help. I suggested Wellbutrin because of its stimulant like effects (I'm very sensitive to anything that makes me drowsy) and started out on 100 mg 2x/day, sustained release tabs. I had tried Wellbutrin before but got a rash. My last resort, I was willing to try it again. Almost imediately I began to feel better.
My general characterization of its effects are that it puts a kind of itch in your soul so that you don't like to sit still doing nothing for very long. Your focus is improved and sustained throughout the day though not nearly as sharply as with Ritalin. It tends to make conversation, especially of the mundane, everyday sort of routine socializing that goes on at the workplace seem bearable and enjoyable even. This was great because now I was able to start functioning again. I was coming out of the fog.
But still, I felt depressed and awkward in my place at school. Unsure of myself and terrified, petrified at social events and places where I might have to speak in front of an audience, even though I have never been a 'shy' person. I had an intuition that maybe something still was not quite right so I suggested to my doctor an SSRI that helps with social anxiety: Zoloft, and she agreed.
I had never tried Zoloft before and was weary because of its potential to cause grogginess or drowsiness and slow thoughts or blurr focus but curious to find out if those effects might be counterbalanced with something like Wellbutrin. Slowly I built up the dose to a low 75 mg. The noticeable side effects became bearable and counterbalanced by the Wellbutrin drive to stay busy. Also, I noticed a marked improvement in my social abilities within my activities in grad school.
I started making more friends, going to professor/student parties and participating in class discussion more.  I still take Ritalin but only on an as needed basis and in about 3x less the frequency and dosage that I used to take it. My social horizons are expending and my progress in school improving.
For some, these drugs won't work but for me and for now they are allowing me to vastly improve my life. These medications have given me a thicker skin and higher tolerance for social pain which is needed to climb out of the hole depression dug me into. It's been 8 months now and the side effects are not very noticeable. Occasionally Wellbutrin can get me into a hypo-manic-like state which is why I stay at 250 mg per day instead of the normal 300 mg. Zoloft also helps to take this edge off.
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.


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Summary
Details


|
OpenJij C++ interface
0.4.0
|
Chimera Classical Ising structure with cuda. More...
#include <chimera_gpu_classical.hpp>
Public Types | |
| using | system_type = classical_system |
| using | Base = ChimeraTransverseGPU< FloatType, rows_per_block, cols_per_block, 1 > |
| Public Types inherited from openjij::system::ChimeraTransverseGPU< FloatType, 2, 2, 1 > | |
| using | system_type = transverse_field_system |
Public Member Functions | |
| ChimeraClassicalGPU (const graph::Spins &init_spin, const graph::Chimera< FloatType > &init_interaction, int device_num=0) | |
| Chimera classical ising constructor. More... | |
| void | reset_spins (const graph::Spins &init_spin) |
| reset spins More... | |
| Public Member Functions inherited from openjij::system::ChimeraTransverseGPU< FloatType, 2, 2, 1 > | |
| ChimeraTransverseGPU (const TrotterSpins &init_trotter_spins, const graph::Chimera< FloatType > &init_interaction, FloatType gamma, int device_num=0) | |
| Chimera transverse ising constructor. More... | |
| ChimeraTransverseGPU (const graph::Spins &classical_spins, const graph::Chimera< FloatType > &init_interaction, FloatType gamma, size_t num_trotter_slices, int device_num=0) | |
| Chimera transverse ising constructor. More... | |
| void | reset_spins (const TrotterSpins &init_trotter_spins) |
| reset spins with trotter spins More... | |
| void | reset_spins (const graph::Spins &classical_spins) |
| reset spins with trotter spins More... | |
Additional Inherited Members | |
| Public Attributes inherited from openjij::system::ChimeraTransverseGPU< FloatType, 2, 2, 1 > | |
| FloatType | gamma |
| coefficient of transverse field term More... | |
| const ChimeraInfo | info |
| chimera graph information More... | |
| ChimeraInteractions< FloatType > | interaction |
| interaction pointer to gpu memory. DO NOT ACCESS FROM CPU. More... | |
| utility::cuda::unique_dev_ptr< std::int32_t[]> | spin |
| spin pointer to gpu memory. DO NOT ACCESS FROM CPU. More... | |
| const dim3 | grid |
| grid structure More... | |
| const dim3 | block |
| block structure More... | |
| utility::cuda::unique_dev_ptr< FloatType[]> | dev_random |
| buffer for random variables More... | |
Chimera Classical Ising structure with cuda.
| FloatType | |
| rows_per_block | |
| cols_per_block |
| using openjij::system::ChimeraClassicalGPU< FloatType, rows_per_block, cols_per_block >::Base = ChimeraTransverseGPU<FloatType, rows_per_block, cols_per_block, 1> |
| using openjij::system::ChimeraClassicalGPU< FloatType, rows_per_block, cols_per_block >::system_type = classical_system |
|
inline |
Chimera classical ising constructor.
| init_spin | |
| init_interaction | |
| device_num |
|
inline |
reset spins
| init__spin |


Yes
No


Hi there! My name is Dan Sehayek and I am currently completing my masters in physics at the University of Waterloo. I have always been extremely passionate about learning mathematics and physics as they constantly provide exciting challenges and opportunities to gain a better understanding of the way the world works.
Thoughout my career as a physics student, I've worked with several amazing research groups and completed many fun personal projects. Currently, my research is condensed matter focused, with an emphasis on exploring generalizations and new methods for detecting topological order. Feel free to read more about my research and projects in the sections below!
Gapless Weyl semimetals are known for their chiral anomaly response. Is it possible to gap Weyl semimetals while preserving their response? The answer was shown to be yes in (Chong, Gioia, Burkov) - by adding a superconducting pairing term and restoring the resulting broken charge conservation symmetry through flux \(4\pi\) condensation, the original gapless response is restored. The resulting state has \(\mathbb{Z}_4\) topological order and nontrivial gapped loop excitations, and can be viewed as a 3D analog of 2D FQH liquids.
Details of the hydrodynamic background field (BF) field theory are later derived in (Thakurathi, Burkov) . In our recent paper, we show that the same gapped Weyl semimetals with \(\mathbb{Z}_4\) topological order can be constructed from charge density wave interactions.
The field of quantum machine learning is a very new field and has exploded in the past few years. It seeks to apply machine learning to solve problems in quantum mechanics, but also to apply quantum mechanics to enhance machine learning algorithms. The prior has become a major focus of Roger Melko’s research group at Perimeter, now referred to as the PIQuIL, where we focus on using machine learning to represent and study condensed matter systems as well as address many of the challenges currently faced in quantum computing, such as benchmarking quantum devices via quantum state reconstuction and applying quantum error correcting to topological codes. In our recent PRB publication, we study the the learnability of quantum states with restricted Boltzmann machines, which is one of the many generative models that are frequently used to solve these problems.
The first major project that I was given at Triumf was to create and implement an optimization/automatic tuning algorithm for the CANREB HRS Multipole. The ultimate goal of this algorithm is to determine the optimal configuration of electrode potentials that will correct higher order beam aberrations given an initial phase space distribution. In essence the algorithm will tune the multipole with the goal of modifying the beam's shape to that of a vertical ellipse. This will allow only the desired rare isotope to pass through the exit slit. Most of the scientific programming involved was done using Scipy and Numpy. While many different optimization routines were considered, the method of least squares was determined to be the most effective in terms of minimizing the total deviation and runtime.
For a full description of the algorithm, I would encourage you to read our paper. I also developed a web application for this algorithm using the Python Flask framework that you can find here.
My second major project at Triumf is focused on optimizing the 2D phase space tomography algorithm. The tomography algorithm was developed to determine the beam phase space distribution at a given longitudinal coordinate along a beamline without the need for an emittance scanner. The 2D tomography reconstruction is done using Maximum Entropy Tomography (MENT) which takes an arbitrary number of 1D profiles. By choosing a profile monitor and setting a ramping element such as a quadrupole to different values, these 1D profiles can be obtained using the corresponding transfer matrices. Ultimately the number and types of profiles and thus the number and types of transfer matrices/settings has a major influence on the accuracy of the reconstruction and it is these factors that I am currently considering in the design of the optimization routine.
A full overview of my results for this project can be found in my report, and our web application for beam tomography can be found here.
During my first coop term at Environment Canada (EC), my main focus was contributing to project AIM-North. The main goal of this project is to provide frequent and high quality observations of greenhouse gases, air quality and solar induced fluorescence from vegetation in the northern regions. This would be accomplished using two satellites placed in a highly elliptical orbit (HEO) configuration. The different subprojects that I was given in relation to this mission included:
If you would like to learn more about this project then I would encourage you to click the link above!
The very first programming language that I decided to learn was Python. While many people would agree that Python is a much easier language to pick up, my main motivation at the time was to develop games! Python has a game development module called Pygame that happens to be very useful for managing user interactivity and sprite control. While this provided me with very fun first projects, I must admit that it was more challenging then I expected. I gained a strong appreciation for object oriented programming (OOP) and definitely gained a much greater confidence in my programming skills. I ultimately created two games called Airstrike and Battleship. Please feel free to check out the source code for both of my games on my GitHub account!
Web developing happens to be another incredible application of programming that I have developed an appreciation for. After taking several online coding courses, I became comfortable with many different programming languages and web development tools. These include:
I used all five of the languages/frameworks above to create this website! While developing this webpage was definitely exciting, I would have to say that a true test of my web dev skills was provided to me during my time at Triumf. During my coop term at Triumf, I developed high level web applications for two different algorithms using an additional Python framework known as Flask. If you would like to learn more about my projects and learning experiences at Triumf, simply check out Triumf under Research or keep scrolling down!
Learning how to develop Android apps has provided me with my most difficult programming challenges yet. It has given me the opportunity to implement more programming languages such as Java and C++ and developer tools such as Android Studio. Needless to say, the challenges that Android development have provided me with have allowed me to once again reach a new level of confidence in my programming skills. It has also provided me with another unique and amazing way to contribute to the global community.
I have currently published one app called Atom Labs that serves as an educational physics app. Its purpose is to help guide students through solving physics problems while allowing them to becoming more familiar with the many different types of quantities and formulae. I certainly plan to continue developing and updating the app by adding more subjects and quantities for students to learn how to solve and by adding new features and improvements such as unit converters and graphical analysis.


Jose Mourinho requests transfer raid on former club after landing Tottenham job
by Magnus EriksenNew Tottenham manager Jose Mourinho is reportedly keen for the club to strengthen in defence with a transfer swoop for Real Madrid star Raphael Varane.
The France international has had a fine career for club and country since being brought into the Madrid first-team by Mourinho when he was in charge at the Bernabeu.
MORE: Opinion: Jose Mourinho to Tottenham is a move of mutual desperation that is doomed to fail
According to Don Balon, Mourinho now wants to work with Varane again, which makes sense given Spurs’ concerns at the back at the moment.
It’s not been the best start to the season for Tottenham anyway, and things could soon get much worse for them as central defensive duo Toby Alderweireld and Jan Vertonghen are both heading towards being free agents at the end of the season.
MORE: Man Utd & Tottenham combined XI: The big question as Mourinho lands new Premier League job
Varane could be a superb long-term purchase to strengthen the THFC back line, and Don Balon suggest this move could be realistic due to Real looking for a new signing in defence themselves.
That may free up Varane to leave, and if so Spurs should undoubtedly take advantage, though one imagines other top teams might also enter the running if he is made available.


Programme
The workshop will run all day on November 9 2018.
The workshop shall be held at the Strand campus of King's College London - see here for more details.
We will confirm very soon the exact rooms in which the talks and the poster sessions will take place.
| Time | Speaker | Title |
|---|---|---|
| 09:30-10:00 | Coffee and registration | |
| 10:00-10:10 | Introduction | |
| 10:10-10:55 | Christopher Yau (Birmingham) | To be announced |
| 10:55-11:40 | Michelle Kendall (Oxford) | To be announced |
| 11:40-11:45 | 5-minute short break | |
| 11:45-12:25 | Sarah Harris (Leeds) | To be announced |
| 12:25-13:30 | Lunch and Posters | |
| 13:30-14:10 | Kit Yates (Bath) | To be announced |
| 14:10-14:50 | Neil Dalchau (Microsoft Research) | To be announced |
| 14:50-15:20 | Student Talk 1 | |
| 15:20-15:50 | Coffee | |
| 15:50-16:30 | Irilenia Nobeli (Birkbeck) | To be announced |
| 16:30-17:00 | Student Talk 2 | |
| 17:00-17:15 | Concluding remarks |


Try this
1 | ba("hello world!") |
this example using transit and element-queries and another thing
Call alert
1 | ba("This is a message!") |
Call alert with title and message
1 | ba("Hello!","This is a message!") |
Callbacks functions
1 2 3 4 5 6 7 8 9 10 | ba({ title: "You are sure?", message: "You want delete this post?", onConfirm: function(){ ba("Your post has been deleted.") }, onClose: function(){ ba("Your post is safe :)") } }) |
Add class to butons
1 2 3 4 5 6 | .btn_blue{ background-color:blue; } .btn_red{ background-color:red; } |
1 2 3 4 5 | ba({ message: "Adding css class to butons", closeClass: "btn_blue", confirmClass: "btn_red" }) |
Change text from buttons
1 2 3 4 5 | ba({ message: "Custom text", confirmText: "don't confirm that!", closeText: "close is safe" }) |
Click on shadow to close alert
1 2 3 4 | ba({ message: "Click on shadow to close", closeOnClickShadow: true }) |
Auto close
1 2 3 4 | ba({ message: "This messsage close in 1.5 seconds", autoClose: 1.5 }) |
Auto close and on close
1 2 3 4 5 6 7 | ba({ message: "This messsage close in 1.5 seconds", autoClose: 1.5, onClose: function(){ ba("Your post is safe :)") } }) |


00001 /* alloca -- (mostly) portable public-domain implementation -- D A Gwyn 00002 00003 last edit: 86/05/30 rms 00004 include config.h, since on VMS it renames some symbols. 00005 Use xmalloc instead of malloc. 00006 00007 This implementation of the PWB library alloca() function, 00008 which is used to allocate space off the run-time stack so 00009 that it is automatically reclaimed upon procedure exit, 00010 was inspired by discussions with J. Q. Johnson of Cornell. 00011 00012 It should work under any C implementation that uses an 00013 actual procedure stack (as opposed to a linked list of 00014 frames). There are some preprocessor constants that can 00015 be defined when compiling for your specific system, for 00016 improved efficiency; however, the defaults should be okay. 00017 00018 The general concept of this implementation is to keep 00019 track of all alloca()-allocated blocks, and reclaim any 00020 that are found to be deeper in the stack than the current 00021 invocation. This heuristic does not reclaim storage as 00022 soon as it becomes invalid, but it will do so eventually. 00023 00024 As a special case, alloca(0) reclaims storage without 00025 allocating any. It is a good idea to use alloca(0) in 00026 your main control loop, etc. to force garbage collection. 00027 */ 00028 #ifndef lint 00029 static char SCCSid[] = "@(#)alloca.c 1.1"; /* for the "what" utility */ 00030 #endif 00031 00032 #include "ruby/config.h" 00033 #ifdef C_ALLOCA 00034 00035 #ifdef emacs 00036 #ifdef static 00037 /* actually, only want this if static is defined as "" 00038 -- this is for usg, in which emacs must undefine static 00039 in order to make unexec workable 00040 */ 00041 #ifndef STACK_DIRECTION 00042 you 00043 lose 00044 -- must know STACK_DIRECTION at compile-time 00045 #endif /* STACK_DIRECTION undefined */ 00046 #endif /* static */ 00047 #endif /* emacs */ 00048 00049 #ifdef X3J11 00050 typedef void *pointer; /* generic pointer type */ 00051 #else 00052 typedef char *pointer; /* generic pointer type */ 00053 #endif /* X3J11 */ 00054 00055 #define NULL 0 /* null pointer constant */ 00056 00057 #ifdef RUBY_LIB_PREFIX 00058 #define xmalloc ruby_xmalloc 00059 #define xfree ruby_xfree 00060 #endif 00061 00062 extern void xfree(); 00063 extern pointer xmalloc(); 00064 00065 /* 00066 Define STACK_DIRECTION if you know the direction of stack 00067 growth for your system; otherwise it will be automatically 00068 deduced at run-time. 00069 00070 STACK_DIRECTION > 0 => grows toward higher addresses 00071 STACK_DIRECTION < 0 => grows toward lower addresses 00072 STACK_DIRECTION = 0 => direction of growth unknown 00073 */ 00074 00075 #ifndef STACK_DIRECTION 00076 #define STACK_DIRECTION 0 /* direction unknown */ 00077 #endif 00078 00079 #if STACK_DIRECTION != 0 00080 00081 #define STACK_DIR STACK_DIRECTION /* known at compile-time */ 00082 00083 #else /* STACK_DIRECTION == 0; need run-time code */ 00084 00085 static int stack_dir; /* 1 or -1 once known */ 00086 #define STACK_DIR stack_dir 00087 00088 static void 00089 find_stack_direction (/* void */) 00090 { 00091 static char *addr = NULL; /* address of first 00092 `dummy', once known */ 00093 auto char dummy; /* to get stack address */ 00094 00095 if (addr == NULL) 00096 { /* initial entry */ 00097 addr = &dummy; 00098 00099 find_stack_direction (); /* recurse once */ 00100 } 00101 else /* second entry */ 00102 if (&dummy > addr) 00103 stack_dir = 1; /* stack grew upward */ 00104 else 00105 stack_dir = -1; /* stack grew downward */ 00106 } 00107 00108 #endif /* STACK_DIRECTION == 0 */ 00109 00110 /* 00111 An "alloca header" is used to: 00112 (a) chain together all alloca()ed blocks; 00113 (b) keep track of stack depth. 00114 00115 It is very important that sizeof(header) agree with malloc() 00116 alignment chunk size. The following default should work okay. 00117 */ 00118 00119 #ifndef ALIGN_SIZE 00120 #define ALIGN_SIZE sizeof(double) 00121 #endif 00122 00123 typedef union hdr 00124 { 00125 char align[ALIGN_SIZE]; /* to force sizeof(header) */ 00126 struct 00127 { 00128 union hdr *next; /* for chaining headers */ 00129 char *deep; /* for stack depth measure */ 00130 } h; 00131 } header; 00132 00133 /* 00134 alloca( size ) returns a pointer to at least `size' bytes of 00135 storage which will be automatically reclaimed upon exit from 00136 the procedure that called alloca(). Originally, this space 00137 was supposed to be taken from the current stack frame of the 00138 caller, but that method cannot be made to work for some 00139 implementations of C, for example under Gould's UTX/32. 00140 */ 00141 00142 static header *last_alloca_header = NULL; /* -> last alloca header */ 00143 00144 pointer 00145 alloca (size) /* returns pointer to storage */ 00146 unsigned size; /* # bytes to allocate */ 00147 { 00148 auto char probe; /* probes stack depth: */ 00149 register char *depth = &probe; 00150 00151 #if STACK_DIRECTION == 0 00152 if (STACK_DIR == 0) /* unknown growth direction */ 00153 find_stack_direction (); 00154 #endif 00155 00156 /* Reclaim garbage, defined as all alloca()ed storage that 00157 was allocated from deeper in the stack than currently. */ 00158 { 00159 register header *hp; /* traverses linked list */ 00160 00161 for (hp = last_alloca_header; hp != NULL;) 00162 if (STACK_DIR > 0 && hp->h.deep > depth 00163 || STACK_DIR < 0 && hp->h.deep < depth) 00164 { 00165 register header *np = hp->h.next; 00166 00167 xfree ((pointer) hp); /* collect garbage */ 00168 00169 hp = np; /* -> next header */ 00170 } 00171 else 00172 break; /* rest are not deeper */ 00173 00174 last_alloca_header = hp; /* -> last valid storage */ 00175 } 00176 00177 if (size == 0) 00178 return NULL; /* no allocation required */ 00179 00180 /* Allocate combined header + user data storage. */ 00181 00182 { 00183 register pointer new = xmalloc (sizeof (header) + size); 00184 /* address of header */ 00185 00186 ((header *)new)->h.next = last_alloca_header; 00187 ((header *)new)->h.deep = depth; 00188 00189 last_alloca_header = (header *)new; 00190 00191 /* User storage begins just after header. */ 00192 00193 return (pointer)((char *)new + sizeof(header)); 00194 } 00195 } 00196 00197 #endif 00198


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Welcome to Integrated Sensing Circuits and Systems Laboratory
The Integrated Sensing Circuits and Systems Laboratory was founded in Fall of 2002. We are part of the Electrical Engineering Department at The University of Texas at Arlington. Our mission is to provide an outstanding educational experience for MS and PhD students through challenging research and top quality VLSI classes. And to minimize the gap between academic education and real life experience through promoting industrial interaction and co- development that will advance the field of IC design.
We are the research group dedicated to discovering and learning about integrated circuit design at the University of Texas at Arlington. We are a diverse group that studies topics ranging from wireless applications to sensor systems.
As an established research group at UTA, we have collaborated with scholars around the world to improve existing IC designs while also seeking new innovative designs to solve new problems concurrently. For more information on what we have completed and our published works, please visit the Projects and the Published Works page.
If you have any questions or would like to contact us, our contact information can be found here.


Philippe Coutinho sends three word message to Liverpool striker
Philippe Coutinho responded to a post from Roberto Firmino after Liverpool's win at Crystal Palace
by Paul ClarkeFormer Liverpool star Philippe Coutinho has taken to Instagram to issue a kind message to ex-team-mate Roberto Firmino.
The duo played alongside each other at the Reds from 2015 to 2018 before Coutinho left for Barcelona.
Whilst Coutinho has now joined Bayern Munich on loan, Firmino has instead taken his game to another level at Anfield.
Firmino might not be hailed as regularly at a national level with Brazil but when it comes to his contribution for the Reds, Liverpool fans adore the forward.
And that sentiment is shared by Brazil star Coutinho, who sent a message to Firmino after Liverpool's 2-1 win over Crystal Palace at the weekend .
Jurgen Klopp's men looked likely to drop key points in the Premier League title race when Wilfried Zaha equalised in the 82nd minute, only for Firmino to bag the winner three minutes later.
Firmino subsequently took to Instagram after the match and posted a picture of him celebrating the goal at Selhurst Park with his Liverpool team-mates.
Coutinho responded to that post on Instagram by saying: "Craque joga muito."
That is something which roughly translates as 'ace plays a lot'.
It's safe to say that Liverpool fans will agree with Coutinho's assessment of his Brazil team-mate Firmino.


Project #Startup10: You pay peanuts, you get the monkeys
Note: this is a post from a blog post series about starting up 10 businesses in a year.
Introduction
I love appharbour, in fact, I have 8 apps running over there at this moment. A little while ago, appharbour announced that they now have to start making some money, so that they were going to charge for custom hostnames...
I got a little dissapointed, since custom hostnames are an artificial limit, they do not add a lot of overhead to the system AFAIK, so why the hell would they charge for something like that??? I even was thinking about migrating my app to NodeJS, CoffeeScript and Zappa and switching to Heroku so I could have a free hostname, I even set up a poc to check the feasibility....
So I would have to pay 10€/month/site , and I do not have any profit yet...
And I want to build 10 different sites this year, so I would have to pay 100€/month just for custom hostnames, that is 1.2K€/year; for that price I can get a lot of hosting... So I posted them this message, and they replied that I could find other hosting for this price, but the service would be different...
I could use options like web forwarding or cloaking, but this looks highly unprofessional... Maybe there are other alternatives ???
I decided to let this issue rest for a few weeks and progressed with my first two startups (blommekes.be and dampen.be), updating them about umphteen times/day using a simple "git push apphb"... I could push fearlessly as I could just as easily revert to the previous version by the click of a mouse button... That is exactly one of the reasons I love it; they offer such a fine infrastructure... I even setup a simple staging environment by adding another apphb instance and a git remote...
Then I started thinking even more...
After messing up 35€ and a lot of hours for MF*** Alertpay (which I'll never ever use again for sure), I paid 300€ to activate an Ogone account. I now also pay a monthly fee of 65€ for their service... Next to this I pay 4% for all transactions over mastercard/amex/maestro credit cards... I ordered 100 cardboard boxes for blommekes.be at 2.36€ a piece...
Here's the thing....
With my startups I would like to make money; the more the merrier... I assume the folks over at appharbour have the same goal. What was I making all this fuss about ? I presume I was expecting them to carry my investement on the web part, which is a bit unfair to be honest...
Their service is great, their product is great; for me, this service has been awesome...  After all, what is 10 €/month for their service; if I can not make 10€/month profit for a website, I should probably shut it down anyway... Yes, I could do hosting for a cheaper amount, but that would mean I can not use all their infrastructure, and would probably have to manage the server myself etc...
As I was writing this article, I managed to fubar the blommekes.be instance, but they replied over twitter within a few minutes; great support !!
Conclusion
Free is great, but sometimes one has to realize that not all things can be free; everybody has to make a living, so it is quite natural people charge you for what they do..... Sometimes one has to step back and pay for the service... If every apphb member is a freeloader, their service would probably not last long. I now happily pay the 10€/month per site, and hope others will do to, so their product will stay available as their service offers great value to me....
I would like to end with a favorite quote from one of my friends:
You pay peanuts, you get the monkeys !!!
Laters !


This section describes the driver routines in LAPACK. Further details on the terminology and the numerical operations they perform are given in Section 2.4, which describes the computational routines.


Synchronous dataflow (SDF) is a special case of dataflow where the flow of control is sufficiently regular to be completely predictable at compile time. An SDF model is an interconnection of actors whose firings are enabled by fixed, pre-specified numbers of tokens on each of their inputs. Moreover, when an actor fires, it produces a fixed, pre-specified number of tokens on each of its outputs. The fact that these numbers are fixed makes it possible for a scheduler to determine the firing sequence at the time the model is initialized. Thus, SDF models are quite efficient, in that there is no multithreading needed, and run-time overhead consists only of a very simple dispatcher that implements the pre-computed schedule.


|
V8 API Reference Guide for node.js v8.5.0
|
#include <v8-platform.h>
Classes | |
| class | TraceStateObserver |
Public Member Functions | |
| virtual const uint8_t * | GetCategoryGroupEnabled (const char *name) |
| virtual uint64_t | AddTraceEvent (char phase, const uint8_t *category_enabled_flag, const char *name, const char *scope, uint64_t id, uint64_t bind_id, int32_t num_args, const char **arg_names, const uint8_t *arg_types, const uint64_t *arg_values, std::unique_ptr< ConvertableToTraceFormat > *arg_convertables, unsigned int flags) |
| virtual void | UpdateTraceEventDuration (const uint8_t *category_enabled_flag, const char *name, uint64_t handle) |
| virtual void | AddTraceStateObserver (TraceStateObserver *) |
| virtual void | RemoveTraceStateObserver (TraceStateObserver *) |
|
inlinevirtual |
Adds a trace event to the platform tracing system. This function call is usually the result of a TRACE_* macro from trace_event_common.h when tracing and the category of the particular trace are enabled. It is not advisable to call this function on its own; it is really only meant to be used by the trace macros. The returned handle can be used by UpdateTraceEventDuration to update the duration of COMPLETE events.
|
inlinevirtual |
Adds tracing state change observer.
|
inlinevirtual |
Called by TRACE_EVENT* macros, don't call this directly. The name parameter is a category group for example: TRACE_EVENT0("v8,parse", "V8.Parse") The pointer returned points to a value with zero or more of the bits defined in CategoryGroupEnabledFlags.
|
inlinevirtual |
Removes tracing state change observer.
|
inlinevirtual |
Sets the duration field of a COMPLETE trace event. It must be called with the handle returned from AddTraceEvent().


No massively disturbing images in here. Just more and more sense of the world being broken and child trafficking being in the middle of it. Other than that… shit’s awesome.
Doorknobs
AB
De Niro
Guns
Hanibal is at the gates
Canada
EU
NK
Fed traffick kids
Pedos everywhere
Aliens
Muh roads
Rodman Maga
This page is synchronized from the post: ‘Meme the News- 6/11/18 Yep… Pedos everywhere…’


Functions to compute small area estimates based on a basic area or unit-level model. The model is fit using restricted maximum likelihood, or in a hierarchical Bayesian way. In the latter case numerical integration is used to average over the posterior density for the between-area variance. The output includes the model fit, small area estimates and corresponding MSEs, as well as some model selection measures. Additional functions provide means to compute aggregate estimates and MSEs, to minimally adjust the small area estimates to benchmarks at a higher aggregation level, and to graphically compare different sets of small area estimates.
| Version: | 1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | Matrix, arm |
| Published: | 2012-09-05 |
| Author: | Harm Jan Boonstra |
| Maintainer: | Harm Jan Boonstra <hjboonstra at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | Bayesian, OfficialStatistics |
| CRAN checks: | hbsae results |
| Reference manual: | hbsae.pdf |
| Package source: | hbsae_1.0.tar.gz |
| Windows binaries: | r-devel: hbsae_1.0.zip, r-release: hbsae_1.0.zip, r-oldrel: hbsae_1.0.zip |
| OS X binaries: | r-release: hbsae_1.0.tgz, r-oldrel: hbsae_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=hbsae to link to this page.


§653-2 Attachment of salary, etc. The salary, stipend, or wages of the beneficiary may be attached for, and applied in the payment of the beneficiary's debts, in the manner prescribed in this chapter. [L 1890, c 50, §2; am L 1921, c 66, §1; RL 1925, §2847; RL 1935, §4293; RL 1945, §10322; RL 1955, §238-2; HRS §653-2; gen ch 1985]


| DOSE: |
22 mg |
oral |
4-HO-DiPT |
(powder / crystals) |
I had a very vague plan that I was going to be doing some sort of drug this evening, however I was not aware of what it was going to be. I took this substance with two other people at some point late at night. I consider myself to be partially experienced in psychedelic substances. I have done 5MeO-AMT , DPT, and LSD, on a few occasions.
However, I was having trouble swallowing this capsule, so I just broke it open and ate the powder, which tasted absolutely terrible. Also, it was the first thing I had eaten in practically 6 hours. I started noticing effects probably about 20 or 30 minutes after ingestion. The first effect I noticed was the regular weird body feeling associated with psychedelics. Except it was different this time. Usually I think that the body feeling is very euphoric and nice feeling but with this drug it was very, very violent.
I could not stop shaking no matter how hard I tried. Eventually I could not handle the room I was in because the other two people were laughing and blasting techno music. This was all too much on the senses, so I went into the bathroom with a portable CD player and some Pink Floyd. At this point, probably about 40 minutes after ingestion I felt extremely terrible nausea. This lasted for something like 10 minutes and then I was back to the ridiculously uncomfortable body feeling.
After about an hour the visuals started coming. They were not too overwhelming. The typical patterning and shifting of things was occurring as well as some mellow closed-eye patterns, however, these visuals could be almost turned off if I wanted, which really wasn't that great because I enjoy the visual aspect of drugs a lot. For the next two hours I sat in the bathroom, in complete isolation, listening to music and watching things. One of the most disappointing things was the lack of creative thinking. I really enjoy the abstract through processes of things like DPT or LSD, but I did not get this on this drug.
Eventually, I came out of the bathroom and began to interact with people. Apparently the other two individuals I was with were feeling extremely goofy and happy, which did not mix well with my mindset. After about 5 hours all signs of the drug were gone and I was left feeling hungry and tired and very lazy.
Overall, it was not a terrible drug. People say it is relaxing, but I disagree. I think that the intense body feeling is quite terrible. However, I would probably do it again, but at a lower dose, maybe to reduce the body tremors more. This is also the only time I have ever been all to myself with under the influence of a psychedelic. I think that this substance cannot be compared with any other ones that I have done. It is in a category all by itself. Not particularly bad, and not amazingly great either.
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.


Your Favorite Fruit Snack Now Available in a Multipack
FRUIGEES is an contemporary snack pouch, is excited to announce that its fruit snack pouch is
now available in a 4 multipack With their bright and vibrant flavors, they are available in their three
original flavors: Kalefornia Grape (Grape-Kale), 24 Carrot Orange (Orange-Carrot), and Nothing Beets
Cherry (Beets-Cherry).
Fruigees is excited to announce their 4 pack multipack where consumers can enjoy more pouches at a
time where you can enjoy a healthy snack containing no added sugar, vibrant and colorful flavors.
From then to 2016, they are selling in more than 1,600+ stores nationwide including Meijer, Kroger,
Wegmans, Whole Foods and Safeway. Since their launch in 2014, Fruigees went from selling in
boutiques to expanding nationwide.
With top star reviews on Amazon, it's rated as the top convenient way to enjoy a healthy snack for all
ages. Within the Overall Fruit Cup Category and Total US Market: Fruigees is in the Top 5 Fastest
Growing Pouch Brands.
“They look like something that you might get in your lunch box, but these snacks are
entirely organic, free of all artificial ingredients, and secretly infused with nutritious veggies
(such as kale).

2. Ceremony
Our Community is excited to another Pay it forward(PIf).We a non profit that serves the
community by provides necessities needs and support.
From 5-9 on April 24, there will be an opening celebration you can enjoy fresh
refreshments,
giveaways and learn about new resources specialty found for you.
Don't forget to sign up for
our eClub to get updates on news and special events.
"The only way to be inspired
is to be an inspiration to others"
Meet new friends, get guidance on real life topics or just help out one another,
thats what PIF is all about. By helping one person and repeating this cycle,
we can make a better community.
3.Press Release-Grand Opening 2017
Bonjur! Hello!
Welcoming to the Believer neighborhood, Renee's is a great new spot to quickly grab a hot or
cold tasty coffee. The menu consists of original favorites from lattes to Americano's.
On May 12 2017, Renee's plan to open with a celebration following live music, free samples and giveaways.
Along with their menu you can enjoy other beverages like tea and hot chocolate,just don't forget to ask to top
it off with whipped cream and chocolate chips.
Drop by Renee's, a new French cafe offering a variety of coffee and express beverages. From
homemade cookies to other baked goods, why not enjoy a cup of your favorite coffee drink along
with a tasty pastry.


DevSkills API
This is an express RESTful API for information gathered by nodejs micro-services about what skills are trending in the development field.
Technology
The API is built using expressjs with MVC architecture for the server and HTTP endpoints to access a Mongo NoSQL database hosted on Heroku. The database is populted by an Nodejs program that accesses the StackOverflow and Twitter streaming APIs than crawls Indeed to scrape information. Authentication is done with JWT. The docs and examples for the API are built using React.
Appointment Ledger Map
Progressive web app built with MERN stack that schedules appointments and give users directions and timeframes.
Technology
The front-end uses React and bootstrap for a mobile-first UI. The app uses the Google Maps and Places APIs to give users autocomplete functionality and directions. The backend is an express API that perfroms CRUD operations on a mongoDB database.
Book Finder
React progressive web application using the Google Books API to find and sort books.
Technology
The UI is built with React following material design guidelines. The app accesses the Google books API and uses sevice workers and IndexedDB for offline usage.
Fifteen Puzzle
Number sorting puzzle game with timer, move counter and leader boards.
Technology
Fifteen is a progressive web app built with EcmaScript2015 and supplemented with modern browser APIs and polyfills. A custom node RESTful API uses MongoDB for the game score database and IndexedDB for offline support.
Animated Weather
Weather app with CSS3 and SVG animations giving users current weather and their 3 day forecast.
Technology
This is a progressive web app built with ECMAScript2015 and users locations are programmatically attained using the Geolocation API then latest weather observation is fetched from the Weather Underground API. Once the response is recieved the app renders a background based on the time and displays SVG animations based on weather conditions.
MinFrame
Mobile-first, responsive website to showcase the minframe CSS framework as well as host the docs and tutorial.
Technology
This site was built using the minframe CSS framework it is showcasing. It takes advantage of Sass for styling, handlebars for html templating and jQuery for DOM manipulation. It uses npm and gulp in the build process and PHP for form processing and validation.
Burrito Masala
Mobile-first, responsive, single-page website for food cart built with a "burrito builder" in-page application.
Technology
This site was built on the Zurb Foundation framework using Sass for styling and Handlebars for templating. The on page animations and the "burrito-builder" were all done using jQuery. Features include a custom marker for the Google map, latest Yelp reviews and Twitter Cards integration.
Anythings Pastable
PDX food cart website. The clients wanted a site for their food cart that matched the tone for their business; warm, inviting and rustic.
Technology
The site is a mobile-first, responsive design built using LESS for styling and Jquery for added functionality. It features a Google map, Facebook and Twitter feed integration as well as a touch repsonsive photo gallery and homepage slideshow.


Ever wondered how old an actor/actress was in a particular movie? In this Bite you will write some code to find the answer.
Here is how it should work (the Actor
and Movie
dataclass
es are provided):
(Pdb) actor Actor(name='Wesley Snipes', born='July 31, 1962') (Pdb) movie Movie(title='New Jack City', release_date='January 17, 1991') (Pdb) get_age(actor, movie) 'Wesley Snipes was 28 years old when New Jack City came out.' ... (Pdb) actor Actor(name='Jennifer Aniston', born='February 11, 1969') (Pdb) movie Movie(title='Horrible Bosses', release_date='September 16, 2011') (Pdb) get_age(actor, movie) 'Jennifer Aniston was 42 years old when Horrible Bosses came out.'
You might want to look into using dateutil
to make this a lot easier :)
Keep calm and code in Python!


primary text |
secondary text |
error text |
info text |
blue text |
red text |
green text |
yellow text |
purple text |
orange text |
gray text
bg primary |
bg secondary |
bg error |
bg info |
bg blue |
bg red |
bg green |
bg yellow |
bg purple |
bg orange |
bg gray
primary dark 8 |
primary dark 6 |
primary dark 4 |
primary dark 2 |
primary |
primary light 2 |
primary light 4 |
primary light 6 |
primary light 8
Cards
This is a card Title
Lorem ipsum, dolor sit amet consectetur adipisicing elit. Eius doloribus
rem architecto, pariatur, ipsa dolorum animi odit quasi quam maiores
praesentium dolores! Obcaecati totam dolores architecto quisquam
sapiente dolor ipsa?


This document attempts to document the key message interactions in datablox. It is recommended that you first read the summary documents to understand the architecture and the key processes.
We will first recap the main processes in Datablox.
The master first reads the topology file and then (sequentially) starts each block in the toplogy. The message sequence chart below shows the sequence of messages:
The master first connects to the caretaker for the node associated with the block to be started. [1] It then sends an ADD BLOCK message with the configuration for the block. This configuration includes the parameters specified in the topology file as well as the network addresses of the input and output ports. TCP/IP ports are pre-assigned by the master. It starts at a specified port number and then increments for each port needed on the given node.
The caretaker writes this configuration to a file and then fork/execs the block's process, passing it the path to the configuration file and the path to the poll data file as command line arguments. The block reads this configuration, stores it in its object, and then starts listening on its input ports. It has a special input port for direct communications from the master.
After forking off the block process, the caretaker returns True to indicate sucess and False otherwise.
The master then connects to the block's master port [2], sends a "sync" message, and waits for an (empty) response. If no response is received by the timeout, an error is signaled, and the entire startup processes aborted.
Once all the blocks have been started successfully, the master enters its main execution loop.
| [1] | The caretaker process is started at the beginning of the run by the Engage infrastructure. |
| [2] | Note that this is a ZeroMQ connect, not a TCP/IP connect. ZeroMQ connects are lazy and sends may not be immediate. In this case, the send will not occur until the block has actually started listening on its receive socket. See the ZeroMQ documentation for details. |
During the run of a job, the master polls each of the caretaker nodes at a set interval (once every 30 seconds by default). Here is an example of the message exchange:
The master communicates with each caretaker in turn. It sends a POLL message. This message has a single parameter: get_stats, a boolean. If True, the caretaker should include system statistics. This is requested once every 5 requests (so, 2 1/2 minutes by default).
The caretaker calls collect_poll_data() (see below) to gather the data. It then responds to the master with a tuple consisting of the hostname, load data from all of the workers on the node, node-wide system statistics (CPU and memory usage, if requested), and any fatal errors (including the full error message and stack trace).
The load data is managed by the class LoadBasedResourceManager. It uses an instance of BlockPerfStates for each block to track requests made to the block, requests served by this block, and total processing time. These are used to compute load percentage and queue size.
The message sequence chart below shows how the collection of load and liveness data works at the worker nodes:
Each block process periodically writes its status data to a file specified by the caretaker. When the caretaker receives a POLL request from the master, it cycles through all the blocks on the node. For each block, it reads the status data file and updates its information. It also executes a ps -p command on the block's process to verify that it is still alive. If it is dead, it marks the status as dead and also looks for an error dump file (which is included in the response, if present).
If there were any fatal errors or block timeouts returned from the caretakers, the stop procedure is initiatiated. A STOP ALL message is sent in turn to each caretaker. Here is an example message exchange with one of the caretaker processes:
Upon receiving the STOP ALL message, it sends a SIGTERM signal to each block process. It then monitors the processes to see whether they have exited. If they have not exited within a certain number of polls, another SIGTERM is sent (e.g. block b2 in our example). Finally, the block process b2 is killed with a SIGKILL signal. The caretaker process then responds to the master with a True value message and then exits.
After gathering the liveness data from a poll of the caretakers, the master checks to see whether any blocks are still running. If no blocks are running, and we haven't seen an error, then they are all in the STOPPED state (see BlockStatus in block.py. The master then sends a END RUN message to each of the caretakers. The caretaker stops the blocks (which should have no effect), responds to the master with True, and then exits.
After communicating with all the caretakers, the master itself prints final summary statistics and exits.


Cyc Core API CHANGELOG
For more information, view the README bundled with this release or visit the Cyc Developer Center.
Important note about backwards-compatibility: It is expected that more release candidates will follow. Until the final 1.0.0 release, it is expected that future release candidates will break backwards compatibility.
1.0.0-rc5 - 2015-12-18
The fifth release candidate of Cycorp’s Java API suite, and the first in which the Core API specification and the Core Client implementation are packaged as wholly separate artifacts.
1.0.0-rc5 is not backwards-compatible with earlier API releases. Note that ResearchCyc 4.0q and EnterpriseCyc 1.7-preview require server code patching for compatibility with the 1.0.0-rc5 release. See the Cyc Core Client for details.
The overarching goal of this revision is to be the last release before 1.0.0 with any compatibility- breaking changes. Note, however, that this is not a guarantee: additional disruptive changes may be made before 1.0.0 if deemed necessary.
API & implementation division
There is now a clean division between the Core APIs and their reference implementation; they have been split into two artifacts:
- The implementation-independent Core API specification: core-api-spec
- The Core Client reference implementation: cyc-core-client-impl
Details:
- The core-api-suite project has been split into two sibling projects: core-api-specand core-client.
- The relevant artifacts generated by these projects (the artifacts that projects are typically expected to specify as dependencies) are cyc-core-api and cyc-core-client-impl, respectively.
- Introduces implementation-independent factory classes for Core API objects. Code written against the cyc-core-api should typically not need to refer to any implementation-specific classes or methods (although an implementation library will need to be present at run-time.)
In short, you’ll typically need to include two dependencies to use the Core APIs. For example, in Maven:
<dependency>
<!-- Core API specification -->
<groupId>com.cyc</groupId>
<artifactId>cyc-core-api</artifactId>
<version>1.0.0-rc5</version>
<scope>compile</scope>
</dependency>
<dependency>
<!-- Reference implementation for the Core API -->
<groupId>com.cyc</groupId>
<artifactId>cyc-core-client-impl</artifactId>
<version>1.0.0-rc5</version>
<scope>runtime</scope>
</dependency>
Caveat: Some functionality, such as proofview generation, is not yet represented in the Core API spec, so there are still some cases in which the user might need to write code against cyc-core-client-impl. This functionality will be added to the Core API Spec in an upcoming revision.
API consistency
- All cyc-core-api class names and method signatures conform to the Google Java Style coding standards.
Other changes
- The Cyc Core API GitHub repository has been renamed and expanded into the Cyc Java API Suite repository, of which core-api-spec and core-client are sub-projects.
- Reorganization of classes (especially exceptions) within the com.cyc.* package space.
- Implementation projects built on the Base Client have had their artifactIds renamed to incorporate the word “client”. E.g., cyc-core-suite is now cyc-core-client-impl, cyc-session is now cyc-session-client, etc.
- Project/module directories have been renamed to mirror their artifactIds, dropping the “cyc-” prefix. E.g., the cyc-session-client project lives in the session-client directory.
- The cyc-core-api-parent and cyc-core-client-parent POMs now inherit from cyc-api-parent, which inherits from cyc-default-config-parent.
- Assorted bug fixes.
1.0.0-rc4 - 2015-10-29
The fourth release candidate of Cycorp’s Java API suite. 1.0.0-rc4 is not backwards-compatible with earlier API releases. Note that ResearchCyc 4.0q and EnterpriseCyc 1.7-preview require server code patching for compatibility with the 1.0.0-rc4 release.
Query API
- Instead of creating Query objects directly, call QueryFactory.getQuery(…)
- Query API no longer uses BaseClient CycObjects.
Natural language
- Adds com.cyc.nl package to Core API Specification to support upcoming release of NL API.
- Split com.cyc.baseclient.nl.Paraphraser class into com.cyc.nl.Paraphraser interface (in Core API Spec) and com.cyc.baseclient.nl.ParaphraserFactory class (in Base Client).
Session API
- Adds API support for closing CycSessions and SessionManagers. See Session API Connection Management for details.
- Significant improvements to session resource management, especially CycAccess management.
- Bug fixes for threading issues.
Other changes
- Critical bug fixes related to obfuscated functions in the planned upcoming release of OpenCyc 5.0-preview.
- Assorted bug fixes.
1.0.0-rc3 - 2015-08-14
The third release candidate of Cycorp’s Java API suite. 1.0.0-rc3 is not backwards-compatible with earlier API releases. Note that ResearchCyc 4.0q and EnterpriseCyc 1.7-preview require server code patching for compatibility with the 1.0.0-rc3 release.
New: Support for upcoming OpenCyc release
Adds support for the planned upcoming release of OpenCyc 5.0-preview. Note that the OpenCyc server will not have support for advanced features such as QuerySearch or ProofViewJustification. Classes and methods which are not supported by OpenCyc will reflect this in their javadoc description and in their signature by declaring that they throw a com.cyc.session.exception.OpenCycUnsupportedServerException.
There are no plans to support previous versions of OpenCyc.
Improved: Core API Specification
- Query API interfaces moved into CoreAPISpec Maven module.
- Adds the QueryFactory (com.cyc.query.QueryFactory) to facilitate query construction.
- Compatibility with different Cyc server editions and versions is now better-documented via the UnsupportedCycOperationException and OpenCycUnsupportedFeatureException exceptions.
Other changes
- Speeds up KB API conversion of terms to KBObjects, which in turn speeds up Query#getResultSet()#getKBObject(). This resolves issue 2.
- Core API Suite can detect and apply missing SubL code patches to a Cyc server. This behavior is disabled by default, but is easily enabled via System properties. See server-patching.md for details.
- Links to Cyc Dev Center have been modified to reflect improved URL scheme.
- Assorted bug fixes.
1.0.0-rc2 - 2015-04-07
The second release candidate of Cycorp’s Java API suite for interacting with the Cyc inference engine and knowledge base. Note that 1.0.0-rc2 is not backwards-compatible with earlier API releases.
New: Core API Suite Bundle
Adds the Core API Suite Bundle module (artifact cyc-core-suite in the CoreAPISuite subdir) which packages all API interfaces and implementation classes. Details:
- Produces a single cyc-core-suite artifact which can be specified instead of individually specifying cyc-session, cyc-kb, etc.
- Builds a single jar (in maven parlance, an “uberjar”) which contains all of its dependencies. Useful for some environments where it is complicated to pull binaries down from the Internet.
New: Core API Specification
Adds the Core API Specification module (artifact cyc-core-api in the CoreAPISpec subdir) to consolidate and clarify the interfaces which define the Core API Suite. Details:
- KB API interfaces moved into CoreAPISpec.
- Session API interfaces moved into CoreAPISpec.
Other changes
- Fixes tests which were failing against EnterpriseCyc.
- Changes parent pom artifactId from cyc-core-api to the more accurate cyc-core-parent.
- KB API test suite should no longer seem to hang per issue 1.
- Updates developer email address in pom files to one which people can actually send mail to.
- Assorted updates in pom files to name and description elements.
1.0.0-rc1 - 2015-01-04
First release candidate of Cycorp’s Java API suite for interacting with the Cyc inference engine and knowledge base. Note that 1.0.0-rc1 is not backwards-compatible with earlier API releases.
Details:
- Updates the KB API (1.0.0-rc1), which streamlines the manipulation of CycL-based Java objects.
- Updates the Query API (1.0.0-rc1), which streamlines asking queries and handling answers.
- Introduces the Session API (1.0.0-rc1), which manages configurations and connections to Cyc servers.
- Replaces the Base API with the Base Client (1.0.0-rc1), a Java client for connecting to a Cyc server and handling HL data. Note that the Base Client is subject to frequent change, and so is not supported for external developers.
1.0.0-Preview - 2014-07-09
Initial limited preview release! This is a new Java API suite to manipulate and query the Cyc KB.
Details:
- Introduces the KB API, which streamlines the manipulation of CycL-based Java objects.
- Introduces the Query API, which streamlines asking queries and handling answers.
- Introduces the Base API, the successor to the OpenCyc API.


VIDEO: Ghana fail to qualify to Tokyo 2020 after penalty shootout defeat to SA
The Black Meteors have failed to qualify for the Olympics Games in Tokyo next year after a penalty shoot out defeat to South Africa at the CAF U-23 Cup of Nations.
Emmanuel Cudjoe's missed penalty handed the South Africans the ticket to Tokyo after Kingsley Fobi and Edward Sarpong had missed earlier spot kicks.
Ghana twice came from behind to level the scores in regulation time, after Evans Mensah and Samuel Obeng had leveled goals from Habib Mohammed (own goal) and Kamohelo Abel.
Habib forced an own goal after misdirecting a Luther Signh cross into his own net before Evans Mensah's sumptions strike leveled the scores on 50 minutes.
The Black Meteors again fell back second half substitute Kamohelo Abel's goal before Samuel Obeng made the best from the wizardry skills of Evans Mensah on the right.
The game headed straight in to penalty shootouts, and Ghana missed three spot kicks with the South Africans missing two after seven kicks.
Watch Highlights below