INSPECTOR GADGET A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): * 1/2
A thumb that turns into a cigarette lighter. That's about as funny as INSPECTOR GADGET ever gets. Disney's new live-action movie pins all of its hopes for laughter on such sight gags.
As the gadget-laden hero, Inspector Gadget, poor Matthew Broderick is stuck yet again in a movie in which he delivers an awkward performance in an underwritten role. Broderick invests little emotional energy in the part of a guy whose reconstructed body is a collection of gadgets and gizmos.
The writing credits go to a committee of four (Dana Olsen, Kerry Ehrin, Zak Penn and Audrey Wells). The quality of a script is usually inversely proportional to the number of writers, and this screenplay is no exception. The dialog packs no punch whatsoever, leaving the physical comedy alone to carry the picture.
The one-joke movie consists of having Inspector Gadget, a kid's version of RoboCop, demonstrating all of his hardware. The comedy comes from the way the mechanisms frequently go awry, causing such "hilarious" mistakes as various parts of his body crashing through ceilings and walls. The result is a movie with a laugh count of maybe one or two small chuckles.
As written, was the project doomed? Perhaps not. Consider, for a minute, what it might have become with Brendan Fraser. He throws himself heart and soul into his every part. Willing to risk looking completely ridiculous, Fraser usually dazzles us with his comedic bravado. Broderick, on the other hand, never convinces us he even wants to be on the set.
Still, even the usually reliable Rupert Everett, who plays the movie's villain, Claw, doesn't show much spark in his acting.
There is one undeniably enjoyable part of the production. It doesn't last long.
INSPECTOR GADGET runs 1:20. It is rated PG for wacky violence/action, language and innuendo and would be fine for kids of all ages.
My son Jeffrey, age 10, gave the movie ** 1/2, complaining that it didn't have enough action, comedy or mystery. His buddy Nickolas, age 10, gave the film ***. He thought the movie needed more action, but he really liked the talking car in it.
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Coding 5
In this section, we’ll practice using some of the most common commands in the ensemble
class. We’ll see these commands again later in the workshop as we implement various other tasks.
Goal
Practice using common ensemble
commands in preparation for later tasks.
Step 1: Create ensemble
object
You can use the ensemble
command to return an object that represents a saved state vector ensemble. The command takes the name of an ensemble file as input.
For example (from the NTREND demo):
ens = ensemble('ntrend.ens')
ens =
static ensemble with properties:
Label: NTREND Demo
Variables: T, T_index, T_monthly
Length: 56161
Members: 1156
we can see that this object represents a static (time-independent) ensemble with 3 variables and 1156 ensemble members.
Analogously from the LGM demo:
ens = ensemble('lgm.ens')
ens =
static ensemble with properties:
Label: LGM Demo
Variables: SST
Length: 122880
Members: 16
we can see the output represents an ensemble with an SST variable over 16 ensemble members.
Step 2: Return ensembleMetadata
You can use the ensemble.metadata
command to return an ensembleMetadata
object for a saved state vector ensemble. The command does not require any inputs.
For the NTREND demo:
ens = ensemble('ntrend');
metadata = ens.metadata
ensembleMetadata with properties:
Label: NTREND Demo
Variables: T, T_index, T_monthly
Length: 56161
Members: 1156
Vector:
T - 4320 rows | lon (144) x lat (30)
T_index - 1 rows | lon (1) x lat (1)
T_monthly - 51840 rows | lon (144) x lat (30) x time sequence (12)
Analogously for the LGM Demo:
metadata = ensemble('lgm').metadata
ensembleMetadata with properties:
Label: LGM Demo
Variables: SST
Length: 122880
Members: 16
Vector:
SST - 122880 rows | site (122880) x time (1)


No framework whether AngularJS or jQuery can add new capability to the native JavaScript/HTML feature. They simply put abstraction
layer over the core feature to handle the things in somehow more convinient way. For example
- $http or $.ajax has been created on the top of native xmlHTTP object to handle ajax call.
- `on` method encapsulated over native `addEventListener` for event binding


|
Connected Home over IP
672cf7684
|
Classes | |
| class | Shell |
| struct | shell_command |
| Descriptor structure for a single command. More... | |
| struct | streamer |
Typedefs | |
| typedef int | shell_command_fn(int argc, char *argv[]) |
| Callback to execute an individual shell command. More... | |
| typedef const struct shell_command | shell_command_t |
| typedef int | shell_command_iterator_t(shell_command_t *command, void *arg) |
| Execution callback for a shell command. More... | |
| typedef const struct streamer | streamer_t |
| typedef int | streamer_init_fn(streamer_t *self) |
| typedef ssize_t | streamer_read_fn(streamer_t *self, char *buf, size_t len) |
| typedef ssize_t | streamer_write_fn(streamer_t *self, const char *buf, size_t len) |
Functions | |
| int | cmd_exit (int argc, char **argv) |
| int | cmd_help_iterator (shell_command_t *command, void *arg) |
| int | cmd_help (int argc, char **argv) |
| int | cmd_version (int argc, char **argv) |
| intptr_t | shell_line_read (char *buffer, size_t max) |
| static bool | IsSeparator (char aChar) |
| static bool | IsEscape (char aChar) |
| static bool | IsEscapable (char aChar) |
| static void | shell_command_foreach (shell_command_iterator_t *on_command, void *arg) |
| Utility macro for running ForEachCommand on root shell. More... | |
| static void | shell_register (shell_command_t *command_set, unsigned count) |
| Utility macro for running ForEachCommand on Root shell. More... | |
| static int | shell_line_tokenize (char *buffer, char **tokens, int max_tokens) |
| Utility macro for to tokenize an input line. More... | |
| static void | shell_task (void *arg) |
| Utility macro to run main shell task loop. More... | |
| int | streamer_init (streamer_t *self) |
| ssize_t | streamer_read (streamer_t *self, char *buf, size_t len) |
| ssize_t | streamer_write (streamer_t *self, const char *buf, size_t len) |
| ssize_t | streamer_vprintf (streamer_t *self, const char *fmt, va_list ap) |
| ssize_t | streamer_printf (streamer_t *self, const char *fmt,...) |
| void | streamer_print_hex (streamer_t *self, const uint8_t *bytes, int len) |
| streamer_t * | streamer_get () |
| static void | streamer_restore_termios () |
| int | streamer_stdio_init (streamer_t *streamer) |
| ssize_t | streamer_stdio_read (streamer_t *streamer, char *buf, size_t len) |
| ssize_t | streamer_stdio_write (streamer_t *streamer, const char *buf, size_t len) |
Variables | |
| static shell_command_t | cmds [] |
| static struct termios | the_original_stdin_termios |
| static streamer_t | streamer_stdio |
| typedef int chip::Shell::shell_command_fn(int argc, char *argv[]) |
Callback to execute an individual shell command.
| argc | Number of arguments passed. |
| argv | Array of option strings. The command name is not included. |
| typedef int chip::Shell::shell_command_iterator_t(shell_command_t *command, void *arg) |
Execution callback for a shell command.
| command | The shell command being iterated. |
| arg | A context variable passed to the iterator function. |
| typedef const struct shell_command chip::Shell::shell_command_t |
| typedef int chip::Shell::streamer_init_fn(streamer_t *self) |
| typedef ssize_t chip::Shell::streamer_read_fn(streamer_t *self, char *buf, size_t len) |
| typedef const struct streamer chip::Shell::streamer_t |
| typedef ssize_t chip::Shell::streamer_write_fn(streamer_t *self, const char *buf, size_t len) |
| int chip::Shell::cmd_exit | ( | int | argc, |
| char ** | argv | ||
| ) |
| int chip::Shell::cmd_help | ( | int | argc, |
| char ** | argv | ||
| ) |
| int chip::Shell::cmd_help_iterator | ( | shell_command_t * | command, |
| void * | arg | ||
| ) |
| int chip::Shell::cmd_version | ( | int | argc, |
| char ** | argv | ||
| ) |
|
static |
|
static |
|
static |
|
inlinestatic |
Utility macro for running ForEachCommand on root shell.
| intptr_t chip::Shell::shell_line_read | ( | char * | buffer, |
| size_t | max | ||
| ) |
|
inlinestatic |
Utility macro for to tokenize an input line.
|
inlinestatic |
Utility macro for running ForEachCommand on Root shell.
|
inlinestatic |
Utility macro to run main shell task loop.
| streamer_t * chip::Shell::streamer_get | ( | ) |
| int chip::Shell::streamer_init | ( | streamer_t * | self | ) |
| void chip::Shell::streamer_print_hex | ( | streamer_t * | self, |
| const uint8_t * | bytes, | ||
| int | len | ||
| ) |
| ssize_t chip::Shell::streamer_printf | ( | streamer_t * | self, |
| const char * | fmt, | ||
| ... | |||
| ) |
| ssize_t chip::Shell::streamer_read | ( | streamer_t * | self, |
| char * | buf, | ||
| size_t | len | ||
| ) |
|
static |
| int chip::Shell::streamer_stdio_init | ( | streamer_t * | streamer | ) |
| ssize_t chip::Shell::streamer_stdio_read | ( | streamer_t * | streamer, |
| char * | buf, | ||
| size_t | len | ||
| ) |
| ssize_t chip::Shell::streamer_stdio_write | ( | streamer_t * | streamer, |
| const char * | buf, | ||
| size_t | len | ||
| ) |
| ssize_t chip::Shell::streamer_vprintf | ( | streamer_t * | self, |
| const char * | fmt, | ||
| va_list | ap | ||
| ) |
| ssize_t chip::Shell::streamer_write | ( | streamer_t * | self, |
| const char * | buf, | ||
| size_t | len | ||
| ) |
|
static |
|
static |
|
static |


hello, and welcome to comfies! ^_^ this is a website for a group of frens that write comfy software togethe
bed →
bash only text editor
custard →
custard window manager
tldrlfs →
Too Long; Didn't Read Linux From Scratch
odko →
a minimal graphical programming language
pokemon →
list of the comfiest pokemon
webcircle →
the /comfy/ webcircle, basically a bunch of frens all holding hand
we have the:
“rembr hav fun asnd bef very y nice, youral l my friends”
- yemou ＼(^o^)／


@* * Copyright 2023 HM Revenue & Customs * * 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. *@ @import config.AppConfig @import models.AdminSignInDetails @import uk.gov.hmrc.govukfrontend.views.html.components._ @this( layout: main_layout, appConfig: AppConfig, formWithCSRF: FormWithCSRF, govukInput : GovukInput, govukErrorSummary: GovukErrorSummary, govukButton: GovukButton) @(form: Form[AdminSignInDetails])(implicit request: Request[_], messages: Messages) @layout(messages("admin.signin-title")) { @if(form.hasErrors) { @govukErrorSummary(ErrorSummary( title = Text(messages("admin.signin-global-error")), disableAutoFocus = Some(true), errorList = form.errors.map{e => ErrorLink( href = Some(s"#${if(e.key.isEmpty) "name" else e.key}"), content = Text(messages(e.message, e.args: _*)) ) } ) ) }


Abstract
Gene regulation occurs through trans-acting factors (e.g. transcription factors) acting on cis-regulatory elements (e.g. enhancers). Massively parallel reporter assays (MPRAs) functionally survey large numbers of cis-regulatory elements for regulatory potential, but do not identify the trans-acting factors that mediate any observed effects. Here we describe transMPRA — a reporter assay that efficiently combines multiplex CRISPR-mediated perturbation and MPRAs to identify trans-acting factors that modulate the regulatory activity of specific enhancers.
** corresponding authors


What time and TV channel is Tottenham vs Olympiacos on in Ireland? Kick-off time and more for the Champions League clash
Jose Mourinho takes the reigns for his first Champions League game as Spurs boss.
by Connor McCarthyTottenham host Olympiacos in the penultimate game of the Champions League Group Stage.
Spurs have the chance to seal their spot in the Round of 16 draw with a win against the Greek side.
Here's everything you need to know about the game:
Where and when is it?
The match takes place at the Tottenham Hotspur Stadium in London on Tuesday, November 26.
What time is kick-off?
It will get underway at 8pm Irish time.
What channel is it on?
BT Sport 2 will show the clash live, with coverage getting underway at 7pm.
Quotes corner
New Spurs manager Jose Mourinho
When asked about taking charge of his first match at home as Spurs boss: "I've been in the new stadium to watch the Newcastle game and I felt it, the relationship between the fans and the players".
"With these boys I will never be afraid of a Champions League match that we face.
"But we need to qualify first."
When asked about a potential move for free-agent Zlatan Ibrahimovic: "I have more than a connection, amazing player, amazing guy, but I would say no chance.
"We have the best striker in England. It doesn't make sense to sign him when we have Harry Kane."
Betting Odds
Tottenham Win: 2/9
Draw: 5/1
Olympiacos Win: 10/1
If you haven't already, be sure to like our Irish Mirror Sport and Irish Mirror GAA pages on Facebook and follow us on Twitter.
How to follow the Irish Mirror on social media
You can like our main Facebook page here.
Our Irish Mirror Sports page - which brings you all your Irish and UK sports news - can be found here.
You can also check out our Irish Mirror GAA sports page.
The Irish Mirror Twitter account is @IrishMirror while our sports account is @MirrorSportIE.
Our Instagram account can be found here.


WITNESS LIST
Human Services Committee
March 27, 2012 - 9:00 AM
Interim Charge 3
On:
Baker, Norma (Texas Legal Services Center)
Baldwin, Candace (Community Southwest Group, NCB Capital Impact)
Berndt, Trey (AARP)
Borel, Dennis (Coalition of Texans with Disabilities)
Burgett, Debby (Texas Culture Change Coalition)
Covington, Lucila (Self)
Higgens, Carlos (Texas Silver-Haired Legislature)
Jesse, Gary (Department of Aging & Disability Svs.)
Klein, Sandy (Touchstone Communities)
Lee, Kristen (Alzheimer's Association, Houston and Southeast Texas Chapter)
Luck, Dorothy (Self; GRADE & NOTEGA)
Luft, Gary (Texas Association of Area Agencies on Aging (T4A))
Machado, Marissa (Texas Association for Home Care and Hospice)
McGinty, Ione (Guardianship Reform Advocates for the Disabled & Elderly)
McPhail, Jennifer (ADAPT of Texas)
Morriset, Lin (Self)
Ring, Latifa (Self; NOTEGA)
Scarbro, Jodi (THCA - Texas Healthcare Association)
Strickland, Britta (Touchstone Communities)
Suehs, Thomas (HHSC)
Thomas`, Stephanie (Self; ADAPT of Texas)
Traylor, Chris (Department of Aging & Disability Svs.)
Urban, Karl (Department of Family & Protective Services)
Valdez, Debby (Guardianship Reform Advocates for the disabled and elderly)
Vesowate, Joseph (HHSC)
Registering, but not testifying:
On:
Cook, Don (Capital City Village)
Higgins, Pam (Capital City Village)
Hoffman, Leslie Sue (Capital City Village)
Thomas, Dyana (Capital City Village)
Vasper, Beth (Capital City Village)
Warren, Kevin (Texas State Veterans Home Program)
1


Classes
The following classes are available globally.
-
Promise system to handle requests to Stitch
See moreDeclaration
Swift
open class StitchTask<Result>
-
StitchGCMPushClient is the PushClient for GCM. It handles the logic of registering and deregistering with both GCM and Stitch.
It does not actively handle updates to the Instance ID when it is refreshed.
See moreDeclaration
Swift
public class StitchGCMPushClient: PushClient
-
A StitchClient is responsible for handling the overall interaction with all Stitch services.
See moreDeclaration
Swift
public class StitchClient: StitchClientType
-
AvailablePushProviders is a collection of available push providers for an app and the information needed to utilize them.
See moreDeclaration
Swift
public class AvailablePushProviders
-
Simple data holder for push messages with Stitch formatting.
See moreDeclaration
Swift
@objc public class PushMessage: NSObject
-
PushManager is responsible for handling the creation of PushClient while handling any events from the [StitchClient] that require changes to the clients.
See moreDeclaration
Swift
public class PushManager: AuthDelegate
-
Network Adapter implementation using the
See moreAlamoFire
framework.Declaration
Swift
public class AlamofireNetworkAdapter: NetworkAdapter
-
Stitch GCMPushProviderInfo contains information needed to create a
See moreStitchGCMPushClient
.Declaration
Swift
public class StitchGCMPushProviderInfo: PushProviderInfo
-
Helper class to construct PushProviderInfo from persistent storage
See moreDeclaration
Swift
public class PushProviderInfoHelper


It is totally awesome...
Write a brief description about your favorite animal...sori dont have any :/


Before Change
// We filter out Nones defensively. There shouldn"t be any, but if a bug causes one,
// Pants might hang indefinitely without this filtering.
work_iter = iter(filter(None, work_chain))
def submit_next():
try:
self.submit_async_work(next(work_iter), workunit_parent=workunit_parent,
After Change
// We filter out Nones defensively. There shouldn"t be any, but if a bug causes one,
// Pants might hang indefinitely without this filtering.
work_iter = (_f for _f in work_chain if _f)
def submit_next():
try:
self.submit_async_work(next(work_iter), workunit_parent=workunit_parent,


About Me
Michal Parusinski is a software developer, with a master's degree in m mathematics and computer science from Imperial College London with first class honours. After his studies, he work within the research group Crypto at Université Catholique de Louvain on building cyberattack-proof chips, then he work on the business analytics software suite SPSS at IBM and finally on the decommision of mainframes at Amadeus (Sophia-Antipolis). Recently he worked as a software engineer specialised in artificial intelligence for ICube-SERTIT (Strasbourg University) on processing satellite imagery following natural disasters. From 2022 he is working for Amadeus as a consultant from Eekem. During his studies, his career and in this personal projects, he developed an expertise in programming in C++, Java, Python, Haskell as well as Javascript and in diverse IT technologies like Linux, SQL databases, web APIs, continuous developement/deployment as well as big data and cloud technologies. He also enjoys board games, and martial arts, in particular he practices taekwondo ITF in Strasbourg.
Books read
Here is a list of the technical books he has read over the years
- Designing Data-Intensive Applications: The big ideas behind reliable, scalable and maintainable systems
- Building Microservices: Designing Fine-Grained Systems
- Thoughtful Machine Learning: A test driven approach
- Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow: Concepts, Tools, and Techniques to build Intelligent Systems
- Prometheus Up & Running: Infrastructure and Application Performance Monitoring
- Design Patterns: Elements of Reusable Object-Oriented Software


Because peer DIDs are globally unique at the moment of creation, their numeric basis will not exist on any other blockchain unless someone copies it there. Blockchain-based DID methods can therefore (redundantly) register a peer DID doc using their own method. We call this process grafting. Grafting might be useful when a peer DID needs to be accepted as the submitter or target of a transaction on a blockchain, when a blockchain is used as a deaddrop for a peer DID, when it's important to use existing DID tools that assume a global source of truth (e.g., DIF's Universal Resolver), or in other circumstances where a peer DID needs some form of partially public reference.
Grafting can be done in several ways.
did:peer:1z479...cbe —> did:xyz:1z479...cbe
did:peer:1z479...cbe —> did:xyz:peer:1z479...cbe
did:peer:1zQmZMygzYqNwU6Uhmewx5Xepf2VLp5S4HLSwwgf2aiKZuwa —>
did:xyz:5pYZg1p63mAsAbJoBCb43FYK4Ducbn6bDz9btjQ5NwdPw
(here, the xyz
method requires base58 but encodes numeric basis differently).
There are pros and cons to each approach.
If a peer DID is registered and grafted into another DID namespace, using any grafting method, the result is two DIDs with different namespace—one peer and one anchored—each with its own DID doc. A decision must be made about which DID is normative for the relationship, or whether both should continue to be used. If both will be used, it should be understood that the two DID docs hold keys and other data for two different DIDs, regardless of the shared history of those DIDs. Ideally, there would be no difference between the DID docs stored in each place, but even with the best intentions of the DID controller, differences may arise.


Title: Armitage III (1994)
What exactly does it mean to be human? Does someone of artificial origin have the same rights as any other person? Are they to be treated and considered equally? It is these questions that the film Armitage III (read "Armitage the third"), a Japanese anime film availible here on video, attepmts to answer, and does so in a reasonably convincing fashion.
The story takes place in the future, the year 2179, on a long-colonized planet Mars. This is a society where technology has evolved so that many of the menial jobs of humans were replaced by androids, which causes a great deal of unrest with the human community. Hidden among these androids are females called thirds, secretly created by the government to look and act just like humans. What happens is that one man, Ross D'anclaude, declares war on these thirds to kill them all. To stop him, the Martian police puts on the case detective Naomi Armitage (voiced by Elizabeth Berkely), herself a third, and her partner detective Ross Sylibus (Keifer Sutherland), who hates robots because his last partner was killed by one. The film is about the growth of the relationship between these two, and the road to discovering Armitage's reason for being as they get deeper and deeper into this case.
And this plot is layed out before the viewer relatively effectively by director Takuya Sato and writer Chiaki Konaka in a careful manner that manages to keep the viewer on his toes. In the first half, that is. The first 50 minute sor so is very exciting to watch, with its share of fast-paced action and interesting plot developments, and picks up with the climactic final scene, with the standoff Ross and Naomi have against a small army. Some of the elements of the plot really manage to surprise you and keep things interesting, but that's all I have to say on that matter. Suffice to say, the above plot synopsis isn't _entirely_ accurate, to be so would spoil the film.
However, at the same time, the second half of the film, while presenting many interesting insights and revelations, can also be confusing. It nicely explains the reason for the existence and the murder of the thirds, but everything else that led to that point from about halfway through is a little confusing. There are scenes where i don't know who's being blamed for what and why they are blamed, and the way the story goes from one point to another isn't always clearly explained. There's a character who inexplicably regains all the memory that had been erased from him. Then there's another character introduced, nicknamed "Pluto", whose very existence (as opposed to hsi role in the film) brings up a lot of questions that aren't answered. Certainly the answers in this film that are found this way make sense, but how they got there doesn't.
In addition to the murders, there is the plot of the relationship between the two main characters Naomi Armitage and Ross Sylibus, who, as one might predict, overcome the personal bias of Ross's against robots and fall in love. Howver cliched that idea is, the way it is executed is refreshing and new. Normally issues of hate in American animation are dealt with spoon feeding to the viewers the message of how he hates all robots at the beginning, and how he has been enlightened at the end in a epiffamy and sees the errors of his ways. "Armitage III" skirts this and goes in a more realistic and subtle manner, having Ross slowly open his eyes to Naomi over the film. His hatred of robots withers as his relationship with her grows from friend and partner to romantic lover.
Visually, "Armitage III" is superb. it doesn't rely on heavy duty computer generated effects like many animated flms do today, but it doesn't need to. . The exquisite detail in the look more than make up for its abesnce. Every nook and cranny of the Martian cityscape has been crisply rendered here, with some truly slick realistically futuristic designs. The character designs are very good and are truly unique, using a great deal of realism and detail while not forgetting the advantages of animation.
The audio is fine, but with its problems though. THe music by Hiroyuki Namba is very good, registering a pulse -pounding, computerlike techno- style beat that suits the futuristic yet highly industrial and dark feel of the film. However, the voice acting is more of a mixed bag. Elizabeth Berkeley, best known for her starring roles in "Showgirls" and the TV show "Saved by the Bell", is tough, sexy, assertive, yet tender as Armitage. Kiefer Sutherland, however, doesn't fare quite so well as Ross Sylibus, as he is way too monotone here. In a role that calls for subtlety, he becomes way _too_ subtle.
To the uninitiated, this film is a work of anime, or Japanese animation, which, to the uninitiated, is about merely graphic sex and violence, but in reality is a medium with a great deal of flexibility and range in subject matter. It is also a medium that has slowly been growing in popularity over this decade. One of the more famous works of anime in recent years is "Ghost in the Shell", which deals with some of the same themes that "Armitage III" does. however,"Ghost" is much more philosophical and moody in addressing this question, while "Armitage" is more action oriented.
That, however, doesn't detract from the film's overall performance. "Armitage III" is an exciting film to watch with some spectacular animation, but is also meandering and not terribly clear in parts. Overall, on a scale of 1 to 10: 6.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


My best friend and I often have discussions on what are fun single serving site ideas we could make. Simple sites that only serve one purpose or do one thing for those who access it. It’s 5 o clock somewhere is one of my favorite things to come out of one of these discussions. The idea of the site is simple, instead of saying “it’s 5 o clock somewhere” this site will tell you where.
The main challenge in this project was really, just understanding how to actually make it work. I knew previously how to create arrays and use them to make fun, simple sites with a focus on randomness, as seen here.. However, I needed to learn how to use existing javascript and jquery tools in conjunction with my existing knowledge to be able to produce even more things.
The process for this project first started conceptually. The main idea was to first and foremost have a site tell you where it was currently 5pm. This bounced around to other ideas of possibly educating people of local breweries and beer, but that felt too niche to my interests and over complicated the core concept, which was to be light and fun. However, I wanted the site to have some life and brevity to it, so only saying a location felt too light and direct. That lead to adding an additional line that suggests a local beverage, which kept the simple nature of the idea, but added in some personality and information.
Because the purpose of the site was so simple, I decided that to fit with the simple features and content of the site, I wanted to make it very visually appealing and utilize landscape photography of the location it’s currently 5pm. This core idea lead to skipping wireframing all together and going right into mock ups.
Through either steadfast confidence in my design or simple bullheadedness, I decided this was the design direction I wanted to go with and then dove into the more complicated aspects, that of actually making this work.
I knew going into this project I would need to utilize an outside source to make the site fully do what I want it to. This started through research and obsessively digging through stack overflow for possible solutions, until I was pointed to moment.js - a javascript library that allows you to manipulate and display dates and time in javascript.
Having already created arrays for the locations and beverages I wanted for each time zone, I dove into working moment into my js and manipulating the current time. After much trial and error, I was able to adjust the site to take the current time and go to 5pm. By using the same process, I could then display the location that is 5pm, and suggest a drink from that location.
An idea is only as good as it’s execution, and an execution is only good if it works. Because of this, I needed to verify that all locations worked in my site. To do this, I added a slider into the code that is visually hidden so those unaware of the slider would not alter what is displayed. However, for myself and any others interested in hacking my site, by simply pressing a left or right arrow you can slide through all time zones and suggestions.
This was one of my first big steps into using javascript and problem solving more complicated code issues, and I had a great deal of fun learning to problem solve for unfamiliar situations. I also feel that this project is a good representation of my personality, which I like to think is a bit light and funny as well as informative.


Total number of support requests that come in.
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John DeoGraphics Designer |
Flat Able | Jun, 26 | |
Jenifer VintageWeb Designer |
Mashable | March, 31 | |
William JemDeveloper |
Flatable | Aug, 02 | |
David JonesDeveloper |
Guruable | Sep, 22 |
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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Helpful?Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
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month
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Harmony
struct Harmony
A set of harmonized color schemes created from a base color.
-
Monochromatic color schemes use different values of the same color.
Declaration
Swift
public typealias Monochromatic = (UIColor, UIColor, UIColor, UIColor, UIColor)
-
Complementary color schemes use two opposite colors on the color wheel.
Declaration
Swift
public typealias Complementary = (UIColor, UIColor)
-
Split complements use a color and the two adjacent tertiary colors of its complement.
Declaration
Swift
public typealias SplitComplementary = (UIColor, UIColor, UIColor)
-
Analogous color schemes use three adjacent colors on the color wheel.
Declaration
Swift
public typealias Analogous = (UIColor, UIColor, UIColor)
-
Triadic color schemes use three evenly spaced colors on the color wheel.
Declaration
Swift
public typealias Triadic = (UIColor, UIColor, UIColor)
-
Tetradic color schemes use two complementary pairs in a rectangular pattern on the color wheel.
Declaration
Swift
public typealias Tetradic = (UIColor, UIColor, UIColor, UIColor)
-
Square color schemes use two evenly spaced complementary pairs on the color wheel.
Declaration
Swift
public typealias Square = (UIColor, UIColor, UIColor, UIColor)
-
The base color and two of its tints and shades. (tint50%, tint25%, base, shade25%, shade50%).
Declaration
Swift
public var monochromatic: Monochromatic { get }
-
The base color and the opposite color on the color wheel (base, hue+180).
Declaration
Swift
public var complementary: Complementary { get }
-
The base color and the two adjacent colors of the complement (base, hue+180-30, hue+180+30).
Declaration
Swift
public var splitComplementary: SplitComplementary { get }
-
The base color and the two adjacent colors (base, hue+30, hue-30).
Declaration
Swift
public var analogous: Analogous { get }
-
The base color and two evenly spaced colors (base, hue+120, hue-120).
Declaration
Swift
public var triadic: Triadic { get }
-
The base color and its complement (base, hue+180) and another complement pair (hue+60, hue+60+180).
Declaration
Swift
public var tetradic: Tetradic { get }
-
The base color and its complement (base, hue+180) and an evenly spaced complement pair (hue+90, hue+90+180).
Declaration
Swift
public var square: Square { get }


pymatgen.analysis.surface_analysis module¶
-
class
NanoscaleStability
(se_analyzers, symprec=1e-05)[source]¶ Bases:
object
- A class for analyzing the stability of nanoparticles of different
polymorphs with respect to size. The Wulff shape will be the model for the nanoparticle. Stability will be determined by an energetic competition between the weighted surface energy (surface energy of the Wulff shape) and the bulk energy. A future release will include a 2D phase diagram (e.g. wrt size vs chempot for adsorbed or nonstoichiometric surfaces). Based on the following work:
- Kang, S., Mo, Y., Ong, S. P., & Ceder, G. (2014). Nanoscale
- stabilization of sodium oxides: Implications for Na-O2 batteries. Nano Letters, 14(2), 1016–1020. https://doi.org/10.1021/nl404557w
-
se_analyzers
¶ - List of SurfaceEnergyPlotter objects. Each item corresponds to a
- different polymorph.
-
symprec
¶ See WulffShape.
Analyzes the nanoscale stability of different polymorphs.
-
bulk_gform
(bulk_entry)[source]¶ Returns the formation energy of the bulk :param bulk_entry: Entry of the corresponding bulk. :type bulk_entry: ComputedStructureEntry
-
plot_all_stability_map
(max_r, increments=50, delu_dict=None, delu_default=0, plt=None, labels=None, from_sphere_area=False, e_units='keV', r_units='nanometers', normalize=False, scale_per_atom=False)[source]¶ - Returns the plot of the formation energy of a particles
- of different polymorphs against its effect radius
Parameters: - max_r (float) – The maximum radius of the particle to plot up to.
- increments (int) – Number of plot points
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- plt (pylab) – Plot
- labels (list) – List of labels for each plot, corresponds to the list of se_analyzers
- from_sphere_area (bool) – There are two ways to calculate the bulk formation energy. Either by treating the volume and thus surface area of the particle as a perfect sphere, or as a Wulff shape.
-
plot_one_stability_map
(analyzer, max_r, delu_dict=None, label='', increments=50, delu_default=0, plt=None, from_sphere_area=False, e_units='keV', r_units='nanometers', normalize=False, scale_per_atom=False)[source]¶ - Returns the plot of the formation energy of a particle against its
- effect radius
Parameters: - analyzer (SurfaceEnergyPlotter) – Analyzer associated with the first polymorph
- max_r (float) – The maximum radius of the particle to plot up to.
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- label (str) – Label of the plot for legend
- increments (int) – Number of plot points
- delu_default (float) – Default value for all unset chemical potentials
- plt (pylab) – Plot
- from_sphere_area (bool) – There are two ways to calculate the bulk formation energy. Either by treating the volume and thus surface area of the particle as a perfect sphere, or as a Wulff shape.
- r_units (str) – Can be nanometers or Angstrom
- e_units (str) – Can be keV or eV
- normalize (str) – Whether or not to normalize energy by volume
-
scaled_wulff
(wulffshape, r)[source]¶ - Scales the Wulff shape with an effective radius r. Note that the resulting
- Wulff does not neccesarily have the same effective radius as the one provided. The Wulff shape is scaled by its surface energies where first the surface energies are scale by the minimum surface energy and then multiplied by the given effective radius.
Parameters: - wulffshape (WulffShape) – Initial, unscaled WulffShape
- r (float) – Arbitrary effective radius of the WulffShape
Returns: WulffShape (scaled by r)
-
solve_equilibrium_point
(analyzer1, analyzer2, delu_dict={}, delu_default=0, units='nanometers')[source]¶ - Gives the radial size of two particles where equilibrium is reached
- between both particles. NOTE: the solution here is not the same as the solution visualized in the plot because solving for r requires that both the total surface area and volume of the particles are functions of r.
Parameters: - analyzer1 (SurfaceEnergyPlotter) – Analyzer associated with the first polymorph
- analyzer2 (SurfaceEnergyPlotter) – Analyzer associated with the second polymorph
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- units (str) – Can be nanometers or Angstrom
Returns: Particle radius in nm
-
wulff_gform_and_r
(wulffshape, bulk_entry, r, from_sphere_area=False, r_units='nanometers', e_units='keV', normalize=False, scale_per_atom=False)[source]¶ Calculates the formation energy of the particle with arbitrary radius r.
Parameters: - wulffshape (WulffShape) – Initial, unscaled WulffShape
- bulk_entry (ComputedStructureEntry) – Entry of the corresponding bulk.
- r (float (Ang)) – Arbitrary effective radius of the WulffShape
- from_sphere_area (bool) – There are two ways to calculate the bulk formation energy. Either by treating the volume and thus surface area of the particle as a perfect sphere, or as a Wulff shape.
- r_units (str) – Can be nanometers or Angstrom
- e_units (str) – Can be keV or eV
- normalize (bool) – Whether or not to normalize energy by volume
- scale_per_atom (True) – Whether or not to normalize by number of atoms in the particle
Returns: particle formation energy (float in keV), effective radius
-
class
SlabEntry
(structure, energy, miller_index, correction=0.0, parameters=None, data=None, entry_id=None, label=None, adsorbates=None, clean_entry=None, marker=None, color=None)[source]¶ Bases:
pymatgen.entries.computed_entries.ComputedStructureEntry
- A ComputedStructureEntry object encompassing all data relevant to a
- slab for analyzing surface thermodynamics.
-
miller_index
¶ Miller index of plane parallel to surface.
-
label
¶ Brief description for this slab.
-
adsorbates
¶ List of ComputedStructureEntry for the types of adsorbates
..attribute:: clean_entry
SlabEntry for the corresponding clean slab for an adsorbed slab..attribute:: ads_entries_dict
- Dictionary where the key is the reduced composition of the
- adsorbate entry and value is the entry itself
Make a SlabEntry containing all relevant surface thermodynamics data.
Parameters: - structure (Slab) – The primary slab associated with this entry.
- energy (float) – Energy from total energy calculation
- miller_index (tuple(h, k, l)) – Miller index of plane parallel to surface
- correction (float) – See ComputedSlabEntry
- parameters (dict) – See ComputedSlabEntry
- data (dict) – See ComputedSlabEntry
- entry_id (str) – See ComputedSlabEntry
- data – See ComputedSlabEntry
- entry_id – See ComputedSlabEntry
- label (str) – Any particular label for this slab, e.g. “Tasker 2”, “non-stoichiometric”, “reconstructed”
- adsorbates ([ComputedStructureEntry]) – List of reference entries for the adsorbates on the slab, can be an isolated molecule (e.g. O2 for O or O2 adsorption), a bulk structure (eg. fcc Cu for Cu adsorption) or anything.
- clean_entry (ComputedStructureEntry) – If the SlabEntry is for an adsorbed slab, this is the corresponding SlabEntry for the clean slab
- marker (str) – Custom marker for gamma plots (“–” and “-” are typical)
- color (str or rgba) – Custom color for gamma plots
-
Nads_in_slab
¶ Returns the TOTAL number of adsorbates in the slab on BOTH sides
-
Nsurfs_ads_in_slab
¶ Returns the TOTAL number of adsorbed surfaces in the slab
-
cleaned_up_slab
¶ Returns a slab with the adsorbates removed
-
create_slab_label
¶ Returns a label (str) for this particular slab based on composition, coverage and Miller index.
-
static
from_computed_structure_entry
(entry, miller_index, label=None, adsorbates=None, clean_entry=None, **kwargs)[source]¶ Returns SlabEntry from a ComputedStructureEntry
-
get_monolayer
¶ Returns the primitive unit surface area density of the adsorbate.
-
get_unit_primitive_area
¶ Returns the surface area of the adsorbed system per unit area of the primitive slab system.
-
gibbs_binding_energy
(eads=False)[source]¶ - Returns the adsorption energy or Gibb’s binding energy
- of an adsorbate on a surface
Parameters: eads (bool) – Whether to calculate the adsorption energy (True) or the binding energy (False) which is just adsorption energy normalized by number of adsorbates.
-
surface_area
¶ Calculates the surface area of the slab
-
surface_energy
(ucell_entry, ref_entries=None)[source]¶ Calculates the surface energy of this SlabEntry. :param ucell_entry: An entry object for the bulk :type ucell_entry: entry :param ref_entries (list: [entry]): A list of entries for each type
of element to be used as a reservoir for nonstoichiometric systems. The length of this list MUST be n-1 where n is the number of different elements in the bulk entry. The chempot of the element ref_entry that is not in the list will be treated as a variable.Returns (Add (Sympy class)): Surface energy
-
class
SurfaceEnergyPlotter
(all_slab_entries, ucell_entry, ref_entries=None)[source]¶ Bases:
object
- A class used for generating plots to analyze the thermodynamics of surfaces
- of a material. Produces stability maps of different slab configurations, phases diagrams of two parameters to determine stability of configurations (future release), and Wulff shapes.
-
all_slab_entries
¶ - Either a list of SlabEntry objects (note for a list, the SlabEntry must
have the adsorbates and clean_entry parameter pulgged in) or a Nested dictionary containing a list of entries for slab calculations as items and the corresponding Miller index of the slab as the key. To account for adsorption, each value is a sub-dictionary with the entry of a clean slab calculation as the sub-key and a list of entries for adsorption calculations as the sub-value. The sub-value can contain different adsorption configurations such as a different site or a different coverage, however, ordinarily only the most stable configuration for a particular coverage will be considered as the function of the adsorbed surface energy has an intercept dependent on the adsorption energy (ie an adsorption site with a higher adsorption energy will always provide a higher surface energy than a site with a lower adsorption energy). An example parameter is provided: {(h1,k1,l1): {clean_entry1: [ads_entry1, ads_entry2, …],
clean_entry2: […], …}, (h2,k2,l2): {…}}where clean_entry1 can be a pristine surface and clean_entry2 can be a reconstructed surface while ads_entry1 can be adsorption at site 1 with a 2x2 coverage while ads_entry2 can have a 3x3 coverage. If adsorption entries are present (i.e. if all_slab_entries[(h,k,l)][clean_entry1]), we consider adsorption in all plots and analysis for this particular facet.
..attribute:: color_dict
- Dictionary of colors (r,g,b,a) when plotting surface energy stability. The
- keys are individual surface entries where clean surfaces have a solid color while the corresponding adsorbed surface will be transparent.
-
ucell_entry
¶ ComputedStructureEntry of the bulk reference for this particular material.
-
ref_entries
¶ List of ComputedStructureEntries to be used for calculating chemical potential.
-
color_dict
¶ Randomly generated dictionary of colors associated with each facet.
- Object for plotting surface energy in different ways for clean and
- adsorbed surfaces.
Parameters: - all_slab_entries (dict or list) – Dictionary or list containing all entries for slab calculations. See attributes.
- ucell_entry (ComputedStructureEntry) – ComputedStructureEntry of the bulk reference for this particular material.
- ref_entries ([ComputedStructureEntries]) – A list of entries for each type of element to be used as a reservoir for nonstoichiometric systems. The length of this list MUST be n-1 where n is the number of different elements in the bulk entry. The bulk energy term in the grand surface potential can be defined by a summation of the chemical potentials for each element in the system. As the bulk energy is already provided, one can solve for one of the chemical potentials as a function of the other chemical potetinals and bulk energy. i.e. there are n-1 variables (chempots). e.g. if your ucell_entry is for LiFePO4 than your ref_entries should have an entry for Li, Fe, and P if you want to use the chempot of O as the variable.
-
BE_vs_clean_SE
(delu_dict, delu_default=0, plot_eads=False, annotate_monolayer=True, JPERM2=False)[source]¶ - For each facet, plot the clean surface energy against the most
- stable binding energy.
Parameters: - delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- plot_eads (bool) – Option to plot the adsorption energy (binding energy multiplied by number of adsorbates) instead.
- annotate_monolayer (bool) – Whether or not to label each data point with its monolayer (adsorbate density per unit primiitve area)
- JPERM2 (bool) – Whether to plot surface energy in /m^2 (True) or eV/A^2 (False)
Returns: - Plot of clean surface energy vs binding energy for
all facets.
Return type: (Plot)
-
area_frac_vs_chempot_plot
(ref_delu, chempot_range, delu_dict=None, delu_default=0, increments=10, no_clean=False, no_doped=False)[source]¶ 1D plot. Plots the change in the area contribution of each facet as a function of chemical potential.
Parameters: - ref_delu (sympy Symbol) – The free variable chempot with the format: Symbol(“delu_el”) where el is the name of the element.
- chempot_range (list) – Min/max range of chemical potential to plot along
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- increments (int) – Number of data points between min/max or point of intersection. Defaults to 10 points.
Returns: - Plot of area frac on the Wulff shape
for each facet vs chemical potential.
Return type: (Pylab)
-
chempot_plot_addons
(plt, xrange, ref_el, axes, pad=2.4, rect=[-0.047, 0, 0.84, 1], ylim=[])[source]¶ Helper function to a chempot plot look nicer.
Parameters: - plt (Plot) –
- xrange (list) – xlim parameter
- ref_el (str) – Element of the referenced chempot.
- axes (axes) –
- pad (float) –
- rect (list) – For tight layout
- ylim (ylim parameter) –
return (Plot): Modified plot with addons. return (Plot): Modified plot with addons.
-
chempot_vs_gamma
(ref_delu, chempot_range, miller_index=(), delu_dict={}, delu_default=0, JPERM2=False, show_unstable=False, ylim=[], plt=None, no_clean=False, no_doped=False, use_entry_labels=False, no_label=False)[source]¶ - Plots the surface energy as a function of chemical potential.
- Each facet will be associated with its own distinct colors. Dashed lines will represent stoichiometries different from that of the mpid’s compound. Transparent lines indicates adsorption.
Parameters: - ref_delu (sympy Symbol) – The range stability of each slab is based on the chempot range of this chempot. Should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element
- chempot_range ([max_chempot, min_chempot]) – Range to consider the stability of the slabs.
- miller_index (list) – Miller index for a specific facet to get a dictionary for.
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- JPERM2 (bool) – Whether to plot surface energy in /m^2 (True) or eV/A^2 (False)
- show_unstable (bool) – Whether or not to show parts of the surface energy plot outside the region of stability.
- ylim ([ymax, ymin]) – Range of y axis
- no_doped (bool) – Whether to plot for the clean slabs only.
- no_clean (bool) – Whether to plot for the doped slabs only.
- use_entry_labels (bool) – If True, will label each slab configuration according to their given label in the SlabEntry object.
- no_label (bool) – Option to turn off labels.
Returns: Plot of surface energy vs chempot for all entries.
Return type: (Plot)
-
chempot_vs_gamma_plot_one
(plt, entry, ref_delu, chempot_range, delu_dict={}, delu_default=0, label='', JPERM2=False)[source]¶ Helper function to help plot the surface energy of a single SlabEntry as a function of chemical potential.
Parameters: - plt (Plot) – A plot.
- entry (SlabEntry) – Entry of the slab whose surface energy we want to plot
- ref_delu (sympy Symbol) – The range stability of each slab is based on the chempot range of this chempot. Should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element
- chempot_range ([max_chempot, min_chempot]) – Range to consider the stability of the slabs.
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- label (str) – Label of the slab for the legend.
- JPERM2 (bool) – Whether to plot surface energy in /m^2 (True) or eV/A^2 (False)
Returns: Plot of surface energy vs chemical potential for one entry.
Return type: (Plot)
-
color_palette_dict
(alpha=0.35)[source]¶ Helper function to assign each facet a unique color using a dictionary.
Parameters: alpha (float) – Degree of transparency - return (dict): Dictionary of colors (r,g,b,a) when plotting surface
- energy stability. The keys are individual surface entries where clean surfaces have a solid color while the corresponding adsorbed surface will be transparent.
-
get_stable_entry_at_u
(miller_index, delu_dict=None, delu_default=0, no_doped=False, no_clean=False)[source]¶ - Returns the entry corresponding to the most stable slab for a particular
- facet at a specific chempot. We assume that surface energy is constant so all free variables must be set with delu_dict, otherwise they are assumed to be equal to delu_default.
Parameters: - miller_index ((h,k,l)) – The facet to find the most stable slab in
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- no_doped (bool) – Consider stability of clean slabs only.
- no_clean (bool) – Consider stability of doped slabs only.
Returns: SlabEntry, surface_energy (float)
-
get_surface_equilibrium
(slab_entries, delu_dict=None)[source]¶ - Takes in a list of SlabEntries and calculates the chemical potentials
- at which all slabs in the list coexists simultaneously. Useful for building surface phase diagrams. Note that to solve for x equations (x slab_entries), there must be x free variables (chemical potentials). Adjust delu_dict as need be to get the correct number of free variables.
Parameters: - slab_entries (array) – The coefficients of the first equation
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
Returns: - Array containing a solution to x equations with x
variables (x-1 chemical potential and 1 surface energy)
Return type: (array)
-
monolayer_vs_BE
(plot_eads=False)[source]¶ - Plots the binding energy energy as a function of monolayers (ML), i.e.
- the fractional area adsorbate density for all facets. For each facet at a specific monlayer, only plot the lowest binding energy.
Parameters: plot_eads (bool) – Option to plot the adsorption energy (binding energy multiplied by number of adsorbates) instead. Returns: Plot of binding energy vs monolayer for all facets. Return type: (Plot)
-
set_all_variables
(delu_dict, delu_default)[source]¶ - Sets all chemical potential values and returns a dictionary where
- the key is a sympy Symbol and the value is a float (chempot).
Parameters: - entry (SlabEntry) – Computed structure entry of the slab
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
Returns: Dictionary of set chemical potential values
-
stable_u_range_dict
(chempot_range, ref_delu, no_doped=True, no_clean=False, delu_dict={}, miller_index=(), dmu_at_0=False, return_se_dict=False)[source]¶ Creates a dictionary where each entry is a key pointing to a chemical potential range where the surface of that entry is stable. Does so by enumerating through all possible solutions (intersect) for surface energies of a specific facet.
Parameters: - chempot_range ([max_chempot, min_chempot]) – Range to consider the stability of the slabs.
- ref_delu (sympy Symbol) – The range stability of each slab is based on the chempot range of this chempot. Should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element
- no_doped (bool) – Consider stability of clean slabs only.
- no_clean (bool) – Consider stability of doped slabs only.
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- miller_index (list) – Miller index for a specific facet to get a dictionary for.
- dmu_at_0 (bool) – If True, if the surface energies corresponding to the chemical potential range is between a negative and positive value, the value is a list of three chemical potentials with the one in the center corresponding a surface energy of 0. Uselful in identifying unphysical ranges of surface energies and their chemical potential range.
- return_se_dict (bool) – Whether or not to return the corresponding dictionary of surface energies
-
surface_chempot_range_map
(elements, miller_index, ranges, incr=50, no_doped=False, no_clean=False, delu_dict=None, plt=None, annotate=True, show_unphyiscal_only=False, fontsize=10)[source]¶ - Adapted from the get_chempot_range_map() method in the PhaseDiagram
- class. Plot the chemical potential range map based on surface energy stability. Currently works only for 2-component PDs. At the moment uses a brute force method by enumerating through the range of the first element chempot with a specified increment and determines the chempot rangeo fht e second element for each SlabEntry. Future implementation will determine the chempot range map first by solving systems of equations up to 3 instead of 2.
Parameters: - elements (list) – Sequence of elements to be considered as independent variables. E.g., if you want to show the stability ranges of all Li-Co-O phases wrt to duLi and duO, you will supply [Element(“Li”), Element(“O”)]
- miller_index ([h, k, l]) – Miller index of the surface we are interested in
- ranges ([[range1], [range2]]) – List of chempot ranges (max and min values) for the first and second element.
- incr (int) – Number of points to sample along the range of the first chempot
- no_doped (bool) – Whether or not to include doped systems.
- no_clean (bool) – Whether or not to include clean systems.
- delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- annotate (bool) – Whether to annotate each “phase” with the label of the entry. If no label, uses the reduced formula
- show_unphyiscal_only (bool) – Whether to only show the shaded region where surface energy is negative. Useful for drawing other chempot range maps.
-
wulff_from_chempot
(delu_dict=None, delu_default=0, symprec=1e-05, no_clean=False, no_doped=False)[source]¶ Method to get the Wulff shape at a specific chemical potential.
Parameters: - delu_dict (Dict) – Dictionary of the chemical potentials to be set as constant. Note the key should be a sympy Symbol object of the format: Symbol(“delu_el”) where el is the name of the element.
- delu_default (float) – Default value for all unset chemical potentials
- symprec (float) – See WulffShape.
- no_doped (bool) – Consider stability of clean slabs only.
- no_clean (bool) – Consider stability of doped slabs only.
Returns: The WulffShape at u_ref and u_ads.
Return type:
-
class
WorkFunctionAnalyzer
(structure, locpot_along_c, efermi, shift=0)[source]¶ Bases:
object
- A class used for calculating the work function
- from a slab model and visualizing the behavior of the local potential along the slab.
-
efermi
¶ The Fermi energy
-
locpot_along_c
¶ Local potential in eV along points along the axis
-
vacuum_locpot
¶ - The maximum local potential along the c direction for
- the slab model, ie the potential at the vacuum
-
work_function
¶ - The minimum energy needed to move an electron from the
- surface to infinity. Defined as the difference between the potential at the vacuum and the Fermi energy.
-
slab
¶ The slab structure model
-
along_c
¶ - Points along the c direction with same
- increments as the locpot in the c axis
-
ave_locpot
¶ Mean of the minimum and maximmum (vacuum) locpot along c
-
sorted_sites
¶ List of sites from the slab sorted along the c direction
-
ave_bulk_p
¶ The average locpot of the slab region along the c direction
Initializes the WorkFunctionAnalyzer class.
Parameters: - structure (Structure) – Structure object modelling the surface
- locpot_along_c (list) – Local potential along the c direction
- outcar (MSONable) – Outcar vasp output object
- shift (float) – Parameter to translate the slab (and therefore the vacuum) of the slab structure, thereby translating the plot along the x axis.
-
get_labels
(plt, label_fontsize=10)[source]¶ Handles the optional labelling of the plot with relevant quantities :param plt: Plot of the locpot vs c axis :type plt: plt :param label_fontsize: Fontsize of labels :type label_fontsize: float
Returns Labelled plt
-
get_locpot_along_slab_plot
(label_energies=True, plt=None, label_fontsize=10)[source]¶ - Returns a plot of the local potential (eV) vs the
- position along the c axis of the slab model (Ang)
Parameters: - label_energies (bool) – Whether to label relevant energy quantities such as the work function, Fermi energy, vacuum locpot, bulk-like locpot
- plt (plt) – Matplotlib pylab object
- label_fontsize (float) – Fontsize of labels
Returns plt of the locpot vs c axis
-
is_converged
(min_points_frac=0.015, tol=0.0025)[source]¶ - A well converged work function should have a flat electrostatic
- potential within some distance (min_point) about where the peak electrostatic potential is found along the c direction of the slab. This is dependent on the size of the slab.
Parameters: - min_point (fractional coordinates) – The number of data points +/- the point of where the electrostatic potential is at its peak along the c direction.
- tol (float) – If the electrostatic potential stays the same within this tolerance, within the min_points, it is converged.
Returns a bool (whether or not the work function is converged)
-
entry_dict_from_list
(all_slab_entries)[source]¶ Converts a list of SlabEntry to an appropriate dictionary. It is assumed that if there is no adsorbate, then it is a clean SlabEntry and that adsorbed SlabEntry has the clean_entry parameter set.
Parameters: all_slab_entries (list) – List of SlabEntry objects Returns: - Dictionary of SlabEntry with the Miller index as the main
- key to a dictionary with a clean SlabEntry as the key to a list of adsorbed SlabEntry.
Return type: (dict)
-
sub_chempots
(gamma_dict, chempots)[source]¶ - Uses dot product of numpy array to sub chemical potentials
- into the surface grand potential. This is much faster than using the subs function in sympy.
Parameters: - gamma_dict (dict) – Surface grand potential equation as a coefficient dictionary
- chempots (dict) – Dictionary assigning each chemical potential (key) in gamma a value
Returns: Surface energy as a float


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Welcome!
Jon & Liz got married! Check out photos from our wedding below. If you have photos from the wedding, add them to our Flickr group, or email them to us and we'll upload them for you!
Wedding Photos
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Constants for Tribology¶
All of the below classes can be found in the tribology_constants
module of the package.
Relevant constants for tribology research. Use, for example, as follows:
# get young's modulus of steel in units of MPa
import tribology as tr
youngs_modulus_steel = tr.YoungsMod.STEEL.value
-
class
LubeDens
¶ Scalar constants for lubricant density in \(\text{g ml}^{-1}\). Available values are:
NA_LUBE_KR_015: NYNAS_HP_4: NYNAS_HP_12: NYNAS_T_3: NYNAS_T_9: NYNAS_T_22: SIGMA_ALDRICH_MINERAL_OIL_HEAVY:
-
class
LubeVisc
¶ Tuple containing kinematic viscosities (in unit of cSt) of lubricants at 40 and 100 \(^{\circ}\text{C}\). The first value in the tuple corresponds to the viscosity at 40 \(^{\circ}\text{C}\), the second to 100 \(^{\circ}\text{C}\). The TEMPS value contains the reference temperatures (40, 100). Available values are:
TEMPS: Tuple containing temperature values of 40 and 100 NA_LUBE_KR_015: NYNAS_HP_4: NYNAS_HP_12: NYNAS_T_3: NYNAS_T_9: NYNAS_T_22: SIGMA_ALDRICH_MINERAL_OIL_HEAVY:
-
class
MatDens
¶ Scalar constants for material density in \(\text{kg m}^{-3}\). Available values are:
STEEL: GLASS:
-
class
PoissonRatio
¶ Scalar constants for unitless Poisson ratios. Available values are:
STEEL: GLASS: SiN:
-
class
PressVisc
¶ Pressure-viscosity coefficients in \(\text{Pa}^{-1}\) at room temperature. Available values are:
ESTER_OIL_GENERIC: MINERAL_OIL_GENERIC:
-
class
RadBall
¶ Scalar constants for ball radii in units of mm. Available values are:
TQInch: 3/4 inch HInch: 1/2 inch Inch: 1 inch
-
class
YoungsMod
¶ Scalar constants for Young’s modulus in units of MPa. Available values are:
STEEL: GLASS: SiN:


|
cds
2.3.1
|
FeldmanHashSet
traits
More...
#include <cds/container/details/feldman_hashset_base.h>
Public Types | |
| typedef cds::opt::none | hash_accessor |
| Mandatory functor to get hash value from data node. More... | |
| typedef cds::opt::none | hash_splitter |
| Hash splitter. More... | |
| typedef cds::opt::none | compare |
| Hash comparing functor. More... | |
| typedef cds::opt::none | less |
| Specifies binary predicate used for hash compare. More... | |
| typedef cds::atomicity::item_counter | item_counter |
| Item counter. More... | |
| typedef CDS_DEFAULT_ALLOCATOR | allocator |
| Item allocator. More... | |
| typedef CDS_DEFAULT_ALLOCATOR | node_allocator |
| Array node allocator. More... | |
| typedef cds::opt::v::relaxed_ordering | memory_model |
| C++ memory ordering model. More... | |
| typedef cds::backoff::Default | back_off |
| Back-off strategy. | |
| typedef empty_stat | stat |
| Internal statistics. More... | |
| typedef cds::opt::v::rcu_throw_deadlock | rcu_check_deadlock |
| RCU deadlock checking policy (only for RCU-based FeldmanHashSet) More... | |
Static Public Attributes | |
| static constexpr size_t const | hash_size = 0 |
| The size of hash value in bytes. More... | |
FeldmanHashSet
traits
Item allocator.
Default is CDS_DEFAULT_ALLOCATOR
Hash comparing functor.
No default functor is provided. If the option is not specified, the less
option is used.
Mandatory functor to get hash value from data node.
It is most-important feature of FeldmanHashSet
. That functor must return a reference to fixed-sized hash value of data node. The return value of that functor specifies the type of hash value.
Example:
Hash splitter.
This trait specifies hash bit-string splitter algorithm. By default, cds::algo::number_splitter
is used if HashType
is a number, cds::algo::split_bitstring
otherwise.
Item counter.
The item counting is an important part of FeldmanHashSet
algorithm: the empty()
member function depends on correct item counting. Therefore, atomicity::empty_item_counter
is not allowed as a type of the option.
Default is atomicity::item_counter
. To avoid false sharing you can aldo use atomicity::cache_friendly_item_counter
Specifies binary predicate used for hash compare.
If less
and compare
are not specified, memcmp()
-like bit-wise hash comparator is used because the hash value is treated as fixed-sized bit-string.
C++ memory ordering model.
Can be opt::v::relaxed_ordering
(relaxed memory model, the default) or opt::v::sequential_consistent
(sequentially consisnent memory model).
Array node allocator.
Allocator for array nodes. The allocator is used for creating headNode
and arrayNode
when the set grows. Default is CDS_DEFAULT_ALLOCATOR
RCU deadlock checking policy (only for RCU-based FeldmanHashSet)
List of available policy see opt::rcu_check_deadlock
Internal statistics.
By default, internal statistics is disabled (feldman_hashset::empty_stat
). Use feldman_hashset::stat
to enable it.
|
static |
The size of hash value in bytes.
By default, the size of hash value is sizeof( hash_type )
. Sometimes it is not correct, for example, for that 6-byte struct static_assert
will be thrown:
For that case you can specify hash_size
explicitly.
Value 0
means sizeof( hash_type )
.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Should.20I.20be.20using.20classes.20here.3F.html ---
I have the following MWE:
structure A := (f : nat -> nat) structure B extends A := (g : nat -> nat)
Now I want to define a new function h : A -> nat
which behaves differently if the argument is actually of type B
. Ho do I do it?
The argument to h
can't be of type B
, it is of type A
.
You could say "behaves differently when called in the form h (B.to_A b)
", but then it is clearly absurd.
Probably you want an inductive type with multiple constructors.
Instead of making inductive types can I somehow have just h
be an inductive definition?
Asked another way, can I check for "does my type have g
as a field, if yes then do X else do Y"?
Again the type never has g
as a field because the type is A
.
You could make h
a member of class, and both A
and B
instances, I suppose. Then the data of what h
should do is supplied by instance inference.
A value a : A
is completely determined by a.f
, so you can never tell if it was "originally" obtained from some b : B
Reid Barton said:
A value
a : A
is completely determined bya.f
, so you can never tell if it was "originally" obtained from someb : B
Thanks, that makes it clearer. Does that change if I had defined A
and B
as classes intead of structures?
Nope
Thanks.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Chapter 2 Introduction
The monitoring of sleep and the estimation of sleep quality has become relevant in recent years due to research that has positively correlated poor sleep quality with various problems ranging from mild to serious. Minor and short-term problems include lack of concentration, difficulty remembering and learning new things and irritability, while more serious problems talk about hypertension, type II diabetes, Alzheimer’s and other chronic degenerative diseases.
The intention of this work is to construct a model that infer the quality of sleep of a person from the factors of the hygiene of the sleep. The literature discusses at least 21 factors of sleep hygiene that should be considered when studying the possible causes of a sleep disorder, physicians conduct interviews and apply questionnaires to their patients to investigate behaviors that favor or impair sleep quality, and from there they begin to generate a clinical file that allows them to diagnose or move to a second stage of the protocol that consists of laboratory studies such as polysomnography or actigraphy.
This work is aimed at the prevention of poor sleep quality and the possible prevention of a sleep disorder. It is a question of constructing a model that estimates the quality of sleep from the most relevant factors of sleep hygiene for a given population. The model will acquire data of the hygiene of the dream by means of sensors coupled to the surroundings of the user and will make an estimation of the quality of the dream, later the user will give a qualification to his quality of dream of such form that day to day the model is Adjustment to the lifestyle and sleep patterns of the person and the person make changes to that lifestyle, following model recommendations in such a way that their quality of sleep is favored.
The first part in the construction of the model consisted of collecting information through clinically proven questionnaires on the perception of sleep quality and sleep hygiene in a sample of people as Section 3 explains. With these data a study of the most relevant factors was made so that of the 21 original sleep hygiene factors that were taken from the literature, only the most relevant set was selected (see Section 5). This will make it possible to implement the model in a real system because a reduced number of factors implies few sensors in the context of the user, which translates into less design complexity, less intrusiveness and less infrastructure cost.
After selecting the most relevant factors for the estimation of sleep quality, we proceeded to test the model using the cross-validation technique. This was done with two purposes. The first one was to validate that the selection of factors was successful in verifying that with the subset of variables the model predicts with more efficiency the quality of sleep than when using the total factors. Second, this work was useful to obtain the first performance analysis of three supervised automated learning techniques to generate predictive models. The techniques tested were artificial neural networks (ANNs), logistic regression with regularization (LR) and vector supported machines (SVM). The three techniques had an efficient behavior as can be seen in the Section 6 and are candidates for any of them being chosen to be the basis of the model.


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--- layout: tweet ---
Later Seattle! Headed to Portland 🚴🏻💨
7/15/2017, 5:01:28 AM
Favs: 8
Retweets: 0


Observabubble
A package of observable properties, objects and arrays
Install
yarn add observabubble
Primitive
For use as an Observable primitive
import {INTEGER, EVENTS} from 'observabubble'
const myInt = new INTEGER(3)
myInt.on(EVENTS.CHANGE, target => {
console.log(target == 4)
})
myInt._set(4)
Object
An Object is defined by a Schema which is assigned an Observable type to a key, as below. The values can be assigned in the constructor, in the values parameter of the second argument. As this is an Object, the Observable string name is exposed to that object and can therefore be assigned to.
import {OBJECT, STRING, INTEGER, EVENTS} from 'observabubble'
const myObject = new OBJECT(
{
name: STRING,
age: INTEGER
},{
values:{
name: 'Anna',
age:20
}
}
)
myObject.name.on(EVENTS.CHANGE, target => {
console.log(`Name has changed to ${target}`)
})
myObject.name = 'Harry'
Objects extended
To create an custom version of an Object, the class can be extended.
import {OBJECT, INTEGER, STRING} from 'observabubble'
const schema = {
id: INTEGER,
name: STRING,
age: INTEGER
}
class User extends OBJECT {
constructor (values) {
super(schema, { values })
}
}
const anna = new User({
id:1,
name:'Anna',
age: 20
})
console.log(`${anna.name} is ${anna.age} years old`)
Objects referencing Objects
To allow for referencing Objects, the model store is needed for recording each model and for discovering the referenced model.
Define the User model:
import {OBJECT, INTEGER, STRING, REFERENCE, STORE, registerInStore} from 'observabubble'
class UserRef extends REFERENCE {
constructor (id, { parent, name } = {}) {
super({ User }, { id, parent, name })
}
}
const schema = {
id: INTEGER,
name: STRING,
address: STRING,
friend: UserRef
}
class User extends OBJECT {
constructor (values) {
super(schema, { values })
STORE.User.add([this])
}
}
registerInStore({ User })
UserRef extends REFERENCE to tie an id to a User stored in STORE
The schema for the User model is then using this user reference type for the friend property.
In the constructor of the User, the new instance of the model is added to the STORE, with:
STORE.User.add([this])
The registerInStore method let's the STORE know which models it shall be using. Ensure the syntax is:
registerInStore({ User })
This is important for the name and model to be assigned together.
A REFERENCE type is asynchronous, as the referred model may not be available in the store yet. The REFERENCE will listen for it to be added, and once added, the REFERENCE will receive it and store in:
user.friend._ref
// or
user._friend
An example of how this may work:
import {EVENTS} from 'observabubble'
const {LOAD} = EVENTS
const model = new User({
id: 1,
name: 'Paul',
friend: 2
})
model.friend.on(LOAD, () => {
console.log(`${model._friend.name} should be Frank`)
console.log(`${model.friend._ref.name} should be Frank`)
})
const model2 = new User({
id: 2,
name: 'Frank'
})
If the models are being created around the same time, a Promise on the model can be used:
import {EVENTS} from 'observabubble'
const {LOAD} = EVENTS
const model = new User({
id: 1,
name: 'Paul',
friend: 2
})
model.friend.getRef().then(friend => {
console.log(`${friend.name} should be Frank`)
})
const model2 = new User({
id: 2,
name: 'Frank'
})
ARRAY
The Array observable exposes many native Array methods, but just wraps it an object for observing it.
When defined, the schema for the items is suggested. As with OBJECTS, the schema can be derived from the provided values, but this is not recommended. The provision of a Schema makes for more robust data.
Without a Schema
const model = new ARRAY([{
name: 'Paul',
age: 21,
today: new Date()
}, {
name: 'John',
age: 20,
today: new Date()
}])
const data = [...model]
console.log(`${data[0].name} should be Paul`)
With a Schema
const model = new ARRAY(
{
name: STRING,
age: INTEGER,
today: DATE
}, {
values:[
{
name: 'John',
age: 20,
today: new Date()
}
]
}
)
const data = [...model]
console.log(`${data[0].name} should be Paul`)
Watching
import {EVENTS, ARRAY, STRING, INTEGER, DATE } from 'observabubble'
const {CHANGE} = EVENTS
const people = new ARRAY(
{
name: STRING,
age: INTEGER,
today: DATE
}, {
values:[
{
name: 'John',
age: 20,
today: new Date()
}
]
}
)
people.on(CHANGE,target => {
console.log(JSON.stringify(target,null,2))
})
people.push({
name: 'Bobby',
age: 30,
today: new Date()
})


Geode output files are optional and can become quite large. Work with your system administrator to determine where to place them to avoid interfering with other system activities.
Geode includes several types of optional output files as described below.
Log Files. Comprehensive logging messages to help you confirm system configuration and to debug problems in configuration and code. Configure log file behavior in the
gemfire.properties
file. See Logging.Statistics Archive Files. Standard statistics for caching and distribution activities, which you can archive on disk. Configure statistics collection and archival in the
gemfire.properties
,archive-disk-space-limit
andarchive-file-size-limit
. See the Reference.Disk Store Files. Hold persistent and overflow data from the cache. You can configure regions to persist data to disk for backup purposes or overflow to disk to control memory use. The subscription queues that servers use to send events to clients can be overflowed to disk. Gateway sender queues overflow to disk automatically and can be persisted for high availability. Configure these through the
cache.xml
. See Disk Storage.


There are {{results.length}} project(s) that have been marked as open and completely satisfy your search criteria (if entered)
| Project Name | Description | Project Owner | Contact |
|---|---|---|---|
|
{{project.description}} |
{{project.user.name}} |
There are {{datasetResults.length}} dataset(s) that have been marked as open and completely satisfy your search criteria (if entered)
| Dataset name | Description | |
|---|---|---|
|
{{dataset.viewName}} |
{{dataset.viewDescription}} |
|


[Erowid Note: According to an article in the Feb 18, 2008 Army Times, the U.S. has stopped LSD testing military wide due to the low number of positive results detected in the past three years.]
I was reading on your site that you did not know if LSD was tested for in the military.
The U. S. Air Force definitely tests for LSD.  They use the GC/MS test and their cut off level is 200pg/ml. The Air Force can and will court-martial an airmen for just coming up positive, they feel the test is all the evidence they need.
I do know the Army and Navy use the same test as the Air force and all three use Brooks Lab. When any test regardless of the drug comes up positive the lab re-runs the test if the test comes under fire by the soldier the lab will run the test again at the same lab instead of another lab. (Jacked up I think) Wrongful use of LSD in the military can get you 5yr's in jail. The thing to remember is LSD has four components, You have ISO LSD and LSD which breakdown into four parts or isomers, and L and D on each. We know that the only active component of LSD under which it is reasonably likely that a person would feel the effects is the D isomer of the LSD so we would ignore the L isomer of LSD, the D isomer of ISO LSD and the L isomer of ISO LSD. So it is possible to come in contact with LSD and feel NO effect. I hope this will help someone.
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.


1. Report of task project¶
Name:
VTC - vlp
version:
v1.0
Description:
It a simple app that help user to create an account, logged in and store videos links.
- Register informations:
Name
User name
Password
- Log in information:
Username
Password
Time taken:
2 Hours and 48 minutes
Technologies used:
Python 3, Javascript, CSS and HTML
Team:
I’m alone (MBAMBA Fabrice Damien)


http://www.susangranger.com/
Susan Granger's review of "COYOTE UGLY"
Adding a new finale, a flashy musical number at the hip, rowdy bar where the exhibitionistic young women work, caused this Jerry Bruckheimer film to almost miss its August 4th opening date. And - who knows? - perhaps it was the only fitting conclusion to this cinematic amalgam of Hooters, "Cocktail" and "Flashdance," written by Gina Wendkos and directed by David McNally, a veteran of TV commercials. Newcomer Piper Perabo stars as a naive, 21 year-old aspiring New Jersey singer-songwriter who ventures across the Hudson River to seek fame and fortune as a barmaid in Manhattan's gritty, high-energy Coyote Ugly bar, strutting her seductive shots-and-beer stuff under the watchful eye of bar owner Maria Bello, who mandates: "You are to appear to be available but never be available. Other tantalizing, dancing "coyotes" include Izabella Miko, Bridget Moynahan and model Tyra Banks. Coyote Ugly's a treasure chest (pardon the pun!) of unruly, bizarre behavior - like hosing down the crowd if someone orders water, even setting fire to the bar - but that's about the only interesting thing in this otherwise dull, wretchedly cliche-filled movie. Predictably, there's a skeptical guy Piper falls for - Adam Garcia. Her apartment gets robbed and her nice-guy, widower dad, played by John Goldman, is hospitalized - yawn! There's a sexual tease with tight, revealing costumes but no nudity. It's rated PG-13. The sound-track rocks loudly even if it doesn't exactly roll - with singer LeAnn Rimes dubbing Piper Perabo's voice and making a cameo appearance near the end of the film. On the Granger Movie Gauge of 1 to 10, "Coyote Ugly" is an undulating, sappy 3. If you want to find the REAL Coyote Ugly watering hole, it's on 10th Avenue in the East Village.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Hosted MQTT server¶
Note
This page is written for the hosted gBridge service.
Authentication¶
Of course, the gBridge MQTT servers requires authentication.
Username: gbridge-{userid}
. Your full username is shown in your account’s dashboard under “My Account”. Example: gbridge-u4
Password: Your account’s password is the default MQTT password. You may change the MQTT password independently from your account’s password in the dashboard. This password must be at least 8 characters long, while containing both upper- and lowercase letters, a number and a special character. A new password will (almost) instantly apply for any new MQTT connections.
Available protocols¶
The hosted gBridge MQTT servers can be reached over many ways.
MQTT over TLS¶
MQTT over TLS can be reached by mqtts://mqtt.gbridge.kappelt.net
| Server: | mqtt.gbridge.kappelt.net |
|---|---|
| Port: | 8883 |
| MQTT Protocol: | Version 3.1 |
| TLS: | TLS V1.2 is required |
| Authentication: | required, as described above |
The server uses certificates signed by Let’s Encrypt. This CA is trusted by most systems, your shouldn’t need to do anything more than specifying your system’s CA directory.
For many linux-based systems, trusted certificates are located under /etc/ssl/certs/
. For example, when using mosquitto_sub
or mosquitto_pub
, you just need to give the parameter --capath /etc/ssl/certs/
MQTT over secure websockets¶
MQTT over secure websockets can be reached by wss://mqtt.gbridge.kappelt.net
| Server: | mqtt.gbridge.kappelt.net |
|---|---|
| Port: | 443 |
| MQTT Protocol: | Version 3.1 |
| TLS: | TLS V1.2 is required |
| Authentication: | required, as described above |
The same certificates as for MQTT over TLS are used, so read the chapter above for more information.
Plain MQTT¶
Warning
Unencrypted MQTT, especially over the (public, bad) internet, should never be used by any means. Support for plain MQTT can be canceled at any time, without any notice.
Plain, unsecure MQTT can be reached by mqtt://mqtt.gbridge.kappelt.net
| Server: | mqtt.gbridge.kappelt.net |
|---|---|
| Port: | 1883 |
| MQTT Protocol: | Version 3.1 |
| Authentication: | required, as described above |
MQTT over websockets¶
Warning
Unencrypted MQTT, especially over the (public, bad) internet, should never be used by any means. Support for MQTT over (unsecured) websockets can be canceled at any time, without any notice.
Plain, unsecure MQTT can be reached by ws://mqtt.gbridge.kappelt.net
| Server: | mqtt.gbridge.kappelt.net |
|---|---|
| Port: | 80 |
| MQTT Protocol: | Version 3.1 |
| Authentication: | required, as described above |
Using own Mosquitto as a Bridge¶
Kappelt gBridge should never be accessed via an unencrypted port. However, some devices might not support MQTT over TLS. In some cases, it is acceptabled to provide an unencrypted MQTT server in your own network/ intranet.
If you are already have an Mosquitto instance running in your own network, you can use it as a so called “Bridge”. Only the Mosquitto server in your network will connect to the gBridge MQTT server. All devices in your network will connect to your own MQTT server - but they’ll receive messages from both your own MQTT server and the gBridge server.
When your own Mosquitto instance receives data from the gBridge servers, that match a certain pattern, it’ll be forwarded to the devices connected in your local network (and vice versa).
The following configuration works with Mosquitto. Place it at the end of your Mosquitto configuration (often under /etc/mosquitto/mosquitto.conf
) or in a separate file, that will be included. Replace the parameters in curly brackets with your appropriate information.
connection kappelt-gbridge
address mqtt.gbridge.kappelt.net:8883
bridge_attempt_unsubscribe true
bridge_protocol_version mqttv31
cleansession true
remote_username {gbridge-mqtt-username}
remote_password {gbridge-mqtt-password}
topic gBridge/u{gbridge-userid}/+/+ both 0 "" ""
topic gBridge/u{gbridge-userid}/+/+/set both 0 "" ""
#you might need to change the path of the CA files
bridge_capath /etc/ssl/certs/
bridge_tls_version tlsv1.2
Restart your mosquitto instance. Have a look in its log file. It should show no errors, if everything went well:
pi@hcpi01:~ $ sudo tail /var/log/mosquitto/mosquitto.log -n 20
1532876260: mosquitto version 1.4.10 (build date Fri, 22 Dec 2017 08:19:25 +0000) starting
1532876260: Config loaded from /etc/mosquitto/mosquitto.conf.
1532876260: Opening ipv4 listen socket on port 1883.
1532876260: Opening ipv6 listen socket on port 1883.
1532876260: Connecting bridge kappelt-gbridge (mqtt.gbridge.kappelt.net:8883)
1532876260: New connection from <IP_ADDRESS> on port 1883.
1532876260: New client connected from <IP_ADDRESS> as KH102_BC73E4 (c1, k15, u'DVES_USER').
[...]
Now, subscribe to a device topic of gBridge (like gBridge/u1/d1/onoff
), but do not connect to the gBridge MQTT server (mqtt.gbridge.kappelt.net
), connect to your local MQTT server instead.
If everything is OK, you should now receive messages from your local server as you would from the gBridge server.


MKFS
Section: Maintenance Commands (8)Updated: Jun 1995
Index Return to Main Contents
NAME
mkfs - build a Linux file systemSYNOPSIS
mkfs [-V] [-t fstype] [fs-options] filesys [blocks]DESCRIPTION
mkfs is used to build a Linux file system on a device, usually a hard disk partition. filesys is either the device name (e.g. /dev/hda1, /dev/sdb2), or a regular file that shall contain the file system. blocks is the number of blocks to be used for the file system.The exit code returned by mkfs is 0 on success and 1 on failure.
In actuality, mkfs is simply a front-end for the various file system builders (mkfs.fstype) available under Linux. The file system-specific builder is searched for in a number of directories like perhaps /sbin, /sbin/fs, /sbin/fs.d, /etc/fs, /etc (the precise list is defined at compile time but at least contains /sbin and /sbin/fs), and finally in the directories listed in the PATH environment variable. Please see the file system-specific builder manual pages for further details.
OPTIONS
- -V
- Produce verbose output, including all file system-specific commands that are executed. Specifying this option more than once inhibits execution of any file system-specific commands. This is really only useful for testing.
- -t fstype
- Specifies the type of file system to be built. If not specified, the default file system type (currently ext2) is used.
- fs-options
- File system-specific options to be passed to the real file system builder. Although not guaranteed, the following options are supported by most file system builders.
- -c
- Check the device for bad blocks before building the file system.
- -l filename
- Read the bad blocks list from filename
- -v
- Produce verbose output.
BUGS
All generic options must precede and not be combined with file system-specific options. Some file system-specific programs do not support the -v (verbose) option, nor return meaningful exit codes. Also, some file system-specific programs do not automatically detect the device size and require the blocks parameter to be specified.AUTHORS
David Engel (david@ods.com)Fred N. van Kempen<EMAIL_ADDRESS>Ron Sommeling<EMAIL_ADDRESS>The manual page was shamelessly adapted from Remy Card's version for the ext2 file system.
SEE ALSO
fs(5), badblocks(8), fsck(8), mkdosfs(8), mke2fs(8), mkfs.bfs(8), mkfs.ext2(8), mkfs.ext3(8), mkfs.ext4(8), mkfs.minix(8), mkfs.msdos(8), mkfs.vfat(8), mkfs.xfs(8), mkfs.xiafs(8)AVAILABILITY
The mkfs command is part of the util-linux-ng package and is available from ftp://ftp.kernel.org/pub/linux/utils/util-linux-ng/.
Index
This document was created by man2html, using the manual pages.
Time: 05:34:27 GMT, December 24, 2015


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[gecode-users] question about view types and propagator templates
Denys Duchier
denys.duchier at univ-orleans.fr
Wed Jan 7 15:33:39 CET 2009
Happy New Year to you all!
"Christian Schulte" <cschulte at kth.se> writes:
> well the principle was: just make them general enough so that it works for
> the cases we use in Gecode... Do you want them more general than that?
Actually, as a user of Gecode, I had remained sofar completely oblivious
to these design oddities. However, I have been developing a new family
of constraints, and, as an implementor, I have to make design decisions.
I went to the existing code for guidance and I got confused: it didn't
seem to follow a very clear design paradigm. That's why I asked. Also:
is there a downside to providing the most general templates?
Cheers,
--Denys
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| category-extras-0.53.6: Various modules and constructs inspired by category theory | Contents | Index |
|
| Control.Comonad.Reader | | Portability | portable | | Stability | experimental | | Maintainer | Edward Kmett<EMAIL_ADDRESS>|
|
|
|
| Description |
| If you look at the reader arrow:
(e, a) -> a you can see that all the interesting bits are bunched
on the left. This is that comonad. Flipping the pair and currying the
arguments yields a -> (e -> a), and you can recognize the (e -> a) as
the reader monad. In more technical language the Reader comonad is
left adjoint to the Reader monad.
|
|
|
| Documentation |
|
| data Coreader r a |
| Constructors | | | Instances | |
|
|
| runCoreader :: Coreader r a -> (r, a) |
|
| newtype CoreaderT w r a |
| Constructors | | | Instances | |
|
|
| class Comonad w => ComonadReader r w | w -> r where |
| | Methods | | | | Instances | |
|
|
| Produced by Haddock version 2.1.0 |