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Get Over It (2001) Kirsten Dunst, Ben Foster, Melissa Sagemiller, Sisqo, Shane West, Colin Hanks, Swoosie Kurtz, Ed Begley Jr., Zoe Saldana, Mila Kunis, Martin Short, Mistress Moira, Coolio, Christopher Jacot, Kylie Bax. Written by R. Lee Fleming Jr. Directed by Tommy O'Haver. 87 minutes. Rated PG-13, 2.5 stars (out of five stars)
Review by Ed Johnson-Ott, NUVO Newsweekly www.nuvo.com Archive reviews at http://reviews.imdb.com/ReviewsBy?Edward+Johnson-Ott To receive reviews by e-mail at no charge, send subscription requests to<EMAIL_ADDRESS>or e-mail<EMAIL_ADDRESS>with the word "subscribe" in the subject line.
In 1998, Indianapolis filmmaker Tommy O'Haver became a hot commodity with his debut feature, "Billy's Hollywood Screen Kiss," a sweet, wonderfully imaginative and beautifully shot production. When I interviewed O'Haver, he was hard at work on a big screen adaptation of the beloved comic book, "Archie." "I'm rewriting the script and will be directing the film" O'Haver told me in '98. "I wrote the first draft as well. It's going to stay very true to the comic book. It's going to be like a live action comic and will be hip in its aesthetic. And yet these characters are going to be ultra-pure and squeaky clean, but there's going to be so much drama going on in their romantic lives that I hope people won't hold that against them. It's going to have dream sequences and musical numbers, some good catfights between Betty and Veronica."
Alas, the movie was not to be. The studio executives changed their minds and the highly anticipated "Archie" ended up shelved. But O'Haver was not to be denied. For his second feature, the young director has taken a thoroughly ordinary teen romantic comedy and added his distinctive touches, making "Get Over It" more engaging than most offerings in this tired genre. We may never see O'Havers' take on "Archie," but the stylistic flourishes here give us a good idea of what it might have been like. I don't want to oversell this production, so let me stress that "Get Over It" is no jewel. The script is only intermittently funny, good ideas are underdeveloped, most of the characters are barely even one-dimensional and the lead couple has no chemistry together. Still, I'm glad I saw it, thanks almost completely to Tommy O'Haver.
Set in Anytown, USA, the story introduces high school senior Berke Landers (Ben Foster), who was just dumped by Allison McAllister (Melissa Sagemiller). The pain of rejection heightens when Allison starts dating Bentley "Striker" Scrumfeld (Shane West), a smirking Brit from the 'N Sync-ish boy band Smalltown Lads (we get a brief look at the video for their hit, "Luv S.C.U.D.").
When Berke learns that Allison and Striker plan to audition for the school's spring musical, a "hip" take on Shakespeare titled, "A Midsummer Night's Rockin' Eve," the lovesick teen ignores the advice of his friends Felix (Colin Hanks) and Dennis (Sisqo) and sets out to join the production. Berke is tone deaf, but luckily, Felix's sister, aspiring singer-songwriter Kelly (Kirsten Dunst), offers to coach him.
Will there be tense moments between Berke and Striker?  Will the drama teacher turn out to be a dictatorial queen? And will romance finally spark between Berke and Kelly? Anyone who has ever attended a teen comedy knows the answer to these questions. Happily, O'Haver brightens up the generic journey with some inspired touches. For instance, when the just-rejected Berke trudges away from Allison's house at the beginning of the movie, a production number breaks out behind him, with a garage band lip-synching to "Love Will Keep Us Together" while trash collectors and delivery men break into dance.
There are more treats, particularly during the latter part of the movie, when the school musical shifts into high gear. Martin Short plays drama teacher Dr. Desmond Forrest-Oates as a cross between Andy Dick and Fred Willard, tossing off lines like, "I remember what the great Robert De Niro once said to me… well, not to me, but I read it in an article." Short clearly has a field day throwing tantrums in the kiddy pool and, clichéd though his character may be, he is fun to watch.
The other adult characters in the cast are kind and understanding to an absurd degree, from the coach who tells a tardy player, "You are so lucky I'm not Bobby Knight," to Berke's parents, played by Swoosie Kurtz and Ed Begley Jr., who host an extremely lurid TV relationship show called "Love Matters."
Along with the pleasant surprises comes the requisite teen comedy gross-out bits. Viewers are treated to a pet pooch that humps anything and a drunken partygoer that barfs into a bowl of punch. O'Haver presents these scenes in a pedestrian manner, getting them over with as quickly as possible so he can focus on what he really wants to do.
The young cast is serviceable, doing what they can with their one-note roles. Only Kirsten Dunst comes off as an actual human being in this sea of lightly sketched cartoons. But the real star of this movie is Tommy O'Haver; who takes a lousy teen comedy and manages to spin it into a mildly entertaining feature. Even with his efforts, "Get Over It" is as insubstantial as meringue, but at least it's a tasty meringue.
©2001 Ed Johnson-Ott
========== X-RAMR-ID: 28708 X-RT-AuthorID: 1099 X-RT-TitleID: 1104130 X-RT-RatingText: 2.5/5
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Next: Extensions to Similarity Rules, Previous: Similarity of Aggregate Objects, Up: Literal Objects in Compiled Files
Two objects S (in source code) and C (in compiled code) are defined to be similar if and only if they are both of one of the types listed here (or defined by the implementation) and they both satisfy all additional requirements of similarity indicated for that type.
Two numbers S and C are similar if they are of the same type and represent the same mathematical value.
Two simple characters S and C are similar if they have similar code attributes.
Implementations providing additional, implementation-defined attributes must define whether and how non-simple characters can be regarded as similar.
Two apparently uninterned symbols S and C are similar if their names are similar.
Two interned symbols S and C are similar if their names are similar, and if either S is accessible in the current package at compile time and C is accessible in the current package at load time, or C is accessible in the package that is similar to the home package of S.
(Note that similarity of symbols is dependent on neither the current readtable nor how the function read would parse the characters in the name of the symbol.)
Two packages S and C are similar if their names are similar.
Note that although a package object is an externalizable object, the programmer is responsible for ensuring that the corresponding package is already in existence when code referencing it as a literal object is loaded. The loader finds the corresponding package object as if by calling find-package with that name as an argument. An error is signaled by the loader if no package exists at load time.
Two random states S and C are similar if S would always produce the same sequence of pseudo-random numbers as a copy_5 of C when given as the random-state argument to the function random, assuming equivalent limit arguments in each case.
(Note that since C has been processed by the file compiler, it cannot be used directly as an argument to random because random would perform a side effect.)
Two conses, S and C, are similar if the car_2 of S is similar to the car_2 of C, and the cdr_2 of S is similar to the cdr_2 of C.
Two one-dimensional arrays, S and C, are similar if the length of S is similar to the length of C, the actual array element type of S is similar to the actual array element type of C, and each active element of S is similar to the corresponding element of C.
Two arrays of rank other than one, S and C, are similar if the rank of S is similar to the rank of C, each dimension_1 of S is similar to the corresponding dimension_1 of C, the actual array element type of S is similar to the actual array element type of C, and each element of S is similar to the corresponding element of C.
In addition, if S is a simple array, then C must also be a simple array. If S is a displaced array, has a fill pointer, or is actually adjustable, C is permitted to lack any or all of these qualities.
Two hash tables S and C are similar if they meet the following three requirements:
They both have the same test (e.g., they are both eql hash tables).
There is a unique one-to-one correspondence between the keys of the two hash tables, such that the corresponding keys are similar.
For all keys, the values associated with two corresponding keys are similar.
If there is more than one possible one-to-one correspondence between the keys of S and C, the consequences are unspecified. A conforming program cannot use a table such as S as an externalizable constant.
Two pathnames S and C are similar if all corresponding pathname components are similar.
Functions are not externalizable objects.
A general-purpose concept of similarity does not exist for structures and standard objects. However, a conforming program is permitted to define a make-load-form method for any class K defined by that program that is a subclass of either structure-object or standard-object. The effect of such a method is to define that an object S of type K in source code is similar to an object C of type K in compiled code if C was constructed from code produced by calling make-load-form on S.
Next: Extensions to Similarity Rules, Previous: Similarity of Aggregate Objects, Up: Literal Objects in Compiled Files


Instructions
Follow the instructions of the exercise and implement your solution.
Then, you can see the result of your solution in the console and if the solution is correct the test should pass.
Follow the instructions of the exercise and implement your solution.
Then, you can see the result of your solution in the console and if the solution is correct the test should pass.


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We realize that we haven't listed every Cincinnati-based open data set in the OpenDataCincy catalog.
If have a specific data set that you think should be included, let us know by completing and
submitting the form below. We'll review the information and determine whether the data set should
be included in OpenDataCincy. The data must be specific to Cincinnati, available online, and contain
structured data. A full list of review criteria is available on the FAQ page.
Complete the form for the following tasks:
1. Submit existing data sets, applications, or API's to be added to the catalog, and
2. Nominate a general data set you think should be more easily available - complete the form below with as much
detail as possible.
Review and vote on nomination suggestions via Vote on Nominations.


The Reality is Virtual: U.S. College Students Assist Mapgive and USAID
Tom Gertin DoS/HIU & Rory Nealon USAID/OTI
VSFS is the largest virtual internship program in the world. U.S. students contribute about 10 hours a week to their government, doing real work and gaining real experience in the process.
Background on HIU/Mapgive
USAID/Office of Transition Inititatives
What did your students do?


Shah Rukh Khan Jokes About Continuing To Buy Property On Earth After Learning About Life On Other Planets
In the final week, we will see some amazing speakers talking about the future of the world.
by Koimoi.com TeamStar Plus & Shah Rukh Khan’s show TED Talks India Nayi Baat is heading towards its last weekend. In the upcoming week we will another set of inspiring speakers who will throw light on the topic ‘Kamaal Ka Kal.’
In the final week, we will see some amazing speakers talking about the future of the world. One such speaker is senior scientist from Nasa, Sharmila Bhattacharya. She is working towards researching small organisms in deep space to seek humankind’s future. As we overcrowd and over utilise our planet, it has become the need of the hour to understand the boundaries of how life survives in deep space. The field of astro-bionics creates and provides innovative, technological solutions for NASA’s human exploration and challenges life in space.
Sharmila says, “As many as 75 per cent of human disease-causing genes have “a very close functional match to the ones in the fruit flies”. Hence, studying the impact of space on fruit flies helps study changes that humans would experience during spaceflight. An investment into space and human exploration is an investment into our future. So, let’s utilize the universal language of science, and for our children’s sake, let’s pave the way for a better future.”
Shah Rukh Khan asked the scientist if she was planning to shift to mars, to which she said, “I do not want to go to Mars but I know a lot of people who do.”
Commenting on this, Shah Rukh Khan said, “So the entire research is to find out the effect of long-term radiation on humans. Wow, that is interesting. So, how long will this research take? Can I continue buying property on earth? (laughs)”


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Maharashtra Rifle Association |
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32nd Maharashtra State Shooting Championship , 2015 - Mumbai |
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From : 30/Sep/2015 |
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To : 10/Oct/2015 |
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MRA Shooting Ranges, Worli Seaface North Mumbai 400-025 TEL:24932736 |
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Data Handling Managed by Ninad IT Services |


This is my grandmother's apple pie recipe. I like to add a dash of nutmeg.
4.0 stars based on 35 reviews
Prep time: 30 min
Cook time: 1 hour
Total time: 1 hour 30 min
Yield: 1 9" pie (8 servings)
Serving size: 1 medium slice
Calories per serving: 250 cal
Fat per serving: 12
Ingredients:
Thinly-sliced apples: 6 cups
White sugar: 3/4 cup
...
Directions:
1. Cut and peel apples
2. Mix sugar and cinnamon. Use additional sugar for tart apples.
...


Yes, yes, I know there has been an unseemly silence at Hooting Yard for a while. There are a number of reasons for this, the only one of interest to you lot being that I have received the page proofs for Mr Key's Shorter Potted Brief, Brief Lives, to be published (at last!) by Constable in September. This is my final opportunity to proofread the text of this classic reference work, so you can imagine your beloved Mr Key peering myopically at the pages, brow furrowed in concentration, trying not to dribble, and having to go and have a lie down in a darkened room every once in a while.
Meanwhile, for those of you suffering from Too Few Postages At Hooting Yard Mental Imbalance Syndrome, I ought, belatedly, to let you know that ResonanceFM is now uploading editions of the radio show on to its Mixcloud page almost as soon as they are broadcast. That link takes you to all the Resonance programs—this link is to the Hooting Yard shows currently online. (If it doesn't work, just search for Hooting Yard from the main page.) That should keep you occupied for the time being.
Back soon, with unfurrowed brow.


Nazim Hikmet was born on January 15, 1902 in Salonika, Ottoman Empire (now Thessaloníki, Greece), where his father served in the Foreign Service. He was exposed to poetry at an early age through his artist mother and poet grandfather, and had his first poems published when he was seventeen.
Raised in Istanbul, Hikmet left Allied-occupied Turkey after the First World War and ended up in Moscow, where he attended the university and met writers and artists from all over the world. After the Turkish Independence in 1924 he returned to Turkey, but was soon arrested for working on a leftist magazine. He managed to escape to Russia, where he continued to write plays and poems.
In 1928 a general amnesty allowed Hikmet to return to Turkey, and during the next ten years he published nine books of poetry—five collections and four long poems—while working as a proofreader, journalist, scriptwriter, and translator. He left Turkey for the last time in 1951, after serving a lengthy jail sentence for his radical acts, and lived in the Soviet Union and eastern Europe, where he continued to work for the ideals of world Communism.
After receiving early recognition for his patriotic poems in syllabic meter, he came under the influence of the Russian Futurists in Moscow, and abandoned traditional forms while attempting to “depoetize” poetry.
Many of his works have been translated into English, including Human Landscapes from My Country: An Epic Novel in Verse (2009),Things I Didn’t Know I Loved (1975), The Day Before Tomorrow (1972), The Moscow Symphony (1970), Selected Poems (1967). In 1936 he published Seyh Bedreddin Destani (“The Epic of Shaykh Bedreddin”) and Memleketimden İnsan Manzaralari (“Portraits of People from My Land”).
Hikmet died of a heart attack in Moscow in 1963. The first modern Turkish poet, he is recognized around the world as one of the great international poets of the twentieth century.


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GENUKI: Norfolk: Genealogy: Towns and Parishes
There are more than 700 towns and parishes in Norfolk and they are all shown in the list below. Also included are administrative areas, which contain a group of .
http://www.origins.org.uk/genuki/NFK/places/List of places in Norfolk - Wikipedia, the free encyclopedia
Map of places in Norfolk compiled from this list: See the list of places in England for places in other counties. This is a list of cities, towns and villages in the .
http://en.wikipedia.org/wiki/List_of_places_in_NorfolkNorfolk historic towns and villages - Norfolk travel and heritage guide
Historic Towns and Villages to visit in Norfolk - part of the Britain Express travel guide to Norfolk, England, highlighting attractions, history, and visitor information.
http://www.britainexpress.com/counties/norfolk/az/index.htm
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Denton, Norfolk Home
Welcome to the website for the village of Denton. We are located in the Waveney valley in the south of the county of Norfolk, England between the towns of .
http://www.denton-norfolk.co.uk/ -
Photographs of Norfolk and Images of the Norfolk Landscape from ...
Stunning photos of towns and villages across Norfolk, with scenes of Norwich . Situated on the East of England, Norfolk is a beautiful place to visit, tour or live.
http://www.scenicnorfolk.co.uk/ -
Norfolk Village and Town Signs
Discover the best town and village signs in Norfolk, showing you where you can find them.
http://www.tournorfolk.co.uk/signs.htmlnoz to noz x series kennels
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Towns in Norfolk on AboutBritain.com
Comprehensive list of Towns in Norfolk including links to pages with further detailed . Belton is a beautiful village on the outskirts of Gorleston-on-Sea. . In medieval times, the Hanseatic merchants wanted an English base with many .
http://www.aboutbritain.com/counties/towns-in-norfolk.asp -
Genealogy and Norfolk, England
This page is devoted to the county of Norfolk, England, and covers the origin of its . towns and villages in the county in which I have a family history interest.
http://homepages.nildram.co.uk/~jimella/norfolk.htm


@( )( implicit request: RequestHeader, messagesProvider: MessagesProvider ) @main("Manage Metadata") {
This page allows you to upload the metadata files for various purposes. Use this with care! We don't do any sort of validation that the uploaded file matches the desired format, so you can seriously mess things up here if you aren't careful.
Make sure you are uploading the right file to the right place!
}
}
}
}
} }


What do you want to do?
Learn about the Land Use Commission(LUC)
Click here to learn about the Land Use Commission(LUC) and the services they provide.Submitting a request
Click here to learn how to submit and process a request.Frequently Asked Questons(FAQ)
Click here if you have multiple questions but not sure where to look. Send to About Page If you are submitting a request you need to have the following information: Full Name Phone Number Email Organization Type of information you are requesting or submitting Tax Map Key (Not sure what a Tax Map Key is, click here) Docket ID (Not sure what a Docket ID is, click here) send to FAQ page


public class SimulationStarter
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private boolean |
simulationAllowIdle |
private int |
simulationConsecutiveActionsBonus |
private int |
simulationFrameStep |
private int |
simulationIdleScorePenalty |
private int |
simulationStepAmount |
private Simulator |
simulator |
| Constructor and Description |
|---|
SimulationStarter() |
| Modifier and Type | Method and Description |
|---|---|
private static void |
addTypeFree(java.util.HashMap<TypeWrapper,java.lang.Integer> simulationUnitsFree,
TypeWrapper typeWrapper)
Function for adding a type towards a HashMap of existing types.
|
private static void |
addTypeFree(java.util.HashMap<TypeWrapper,java.lang.Integer> simulationUnitsFree,
bwapi.UnitType unitType)
Convenience function.
|
private static void |
addTypeWorking(java.util.HashMap<TypeWrapper,java.util.List<bwapi.Pair<TypeWrapper,java.lang.Integer>>> simulationUnitsWorking,
TypeWrapper typeWrapper,
int finishingTimeStamp)
Function for adding a type towards a HashMap of existing types.
|
private static void |
addTypeWorking(java.util.HashMap<TypeWrapper,java.util.List<bwapi.Pair<TypeWrapper,java.lang.Integer>>> simulationUnitsWorking,
bwapi.UnitType unitType,
int finishingTimeStamp)
Convenience function.
|
private static void |
extractFreeAndWorkingTypeWrappers(java.util.List<bwapi.Unit> units,
java.util.HashMap<TypeWrapper,java.lang.Integer> simulationTypesFree,
java.util.HashMap<TypeWrapper,java.util.List<bwapi.Pair<TypeWrapper,java.lang.Integer>>> simulationTypesWorking,
int currentFrameTimeStamp)
Function for splitting a List of given Units in different categories
(Free and working) as well as counting the specific types.
|
java.util.List<ActionType> |
runStarter(java.util.HashSet<ActionType> actionTypes,
java.util.List<bwapi.Unit> units,
int currentMinerals,
int currentGas,
bwapi.UnitType workerUnitType,
int currentFrameTimeStamp)
Function for starting a new simulation in the
Simulator instance. |
private Simulator simulator
private int simulationFrameStep
private int simulationStepAmount
private int simulationIdleScorePenalty
private int simulationConsecutiveActionsBonus
private boolean simulationAllowIdle
public java.util.List<ActionType> runStarter(java.util.HashSet<ActionType> actionTypes, java.util.List<bwapi.Unit> units, int currentMinerals, int currentGas, bwapi.UnitType workerUnitType, int currentFrameTimeStamp)
Simulator
instance.actionTypes
- the ActionTypes that are going to be used in the simulation.units
- the Units that are going to be used in the simulation.currentMinerals
- the current gas count. Defines the basis for all gas dependent
operations.currentGas
- the current mineral count. Defines the basis for all mineral
dependent operations.workerUnitType
- the UnitType that defines the worker. Different for all Races.currentFrameTimeStamp
- the current time stamp in frames.Simulator
simulation.private static void extractFreeAndWorkingTypeWrappers(java.util.List<bwapi.Unit> units, java.util.HashMap<TypeWrapper,java.lang.Integer> simulationTypesFree, java.util.HashMap<TypeWrapper,java.util.List<bwapi.Pair<TypeWrapper,java.lang.Integer>>> simulationTypesWorking, int currentFrameTimeStamp)
units
- the Units that are going to be categorized.simulationTypesFree
- the HashMap to which all free Units are going to be added to.simulationTypesWorking
- the HashMap to which all working Units are going to be added
to (As well as their result type and the time stamp).currentFrameTimeStamp
- the current time stamp in frames.private static void addTypeFree(java.util.HashMap<TypeWrapper,java.lang.Integer> simulationUnitsFree, bwapi.UnitType unitType)
simulationUnitsFree
- the Collection to which the type is going to be added to.unitType
- the type that is going to be added to a Collection.private static void addTypeFree(java.util.HashMap<TypeWrapper,java.lang.Integer> simulationUnitsFree, TypeWrapper typeWrapper)
simulationUnitsFree
- the Collection to which the type is going to be added to.typeWrapper
- the type that is going to be added to a Collection.private static void addTypeWorking(java.util.HashMap<TypeWrapper,java.util.List<bwapi.Pair<TypeWrapper,java.lang.Integer>>> simulationUnitsWorking, bwapi.UnitType unitType, int finishingTimeStamp)
simulationUnitsWorking
- the Collection to which the type is going to be added to.unitType
- the type that is going to be added to a Collection.finishingTimeStamp
- the time stamp in frames at which the type finishes its work.private static void addTypeWorking(java.util.HashMap<TypeWrapper,java.util.List<bwapi.Pair<TypeWrapper,java.lang.Integer>>> simulationUnitsWorking, TypeWrapper typeWrapper, int finishingTimeStamp)
simulationUnitsWorking
- the Collection to which the type is going to be added to.typeWrapper
- the type that is going to be added to a Collection.finishingTimeStamp
- the time stamp in frames at which the type finishes it's work.


AUTOMATIC1111 (advanced)
State-of-the-art image generation using your custom dreamlook.ai models
AUTOMATIC1111 is one of the most advanced and actively developed tool to create images with Stable Diffusion: https://github.com/AUTOMATIC1111/stable-diffusion-webui
You can easily use custom models created with dreamlook.ai in AUTOMATIC1111! Here's a detailed guide.
Step 1: Train your custom model
To train a model that you will be able to use in AUTOMATIC1111, you must firist enable "Expert" mode, then select the checkpoint format "CompVis (AUTOMATIC1111-compatible)":
You can choose the other options freely such as the number of images, the number of training steps, the base model etc.
Step 2: Start an AUTOMATIC1111 instance
There are multiple ways to run AUTOMATIC1111, and the precise steps will depend on what you use.
In this guide, we will run it on Google Colab, using the excellent notebook from TheLastBen:
-
Simply open this Colab notebook, and run all the cells:
-
After a while, you will see a public URL displayed:
-
Open that URL to reveal the AUTOMATIC1111 web ui!
Step 3: Add your custom model to AUTOMATIC1111
-
Now that everything is setup, let's interrupt the web ui so we can download the checkpoint:
-
Copy the custom model URL from dreamlook.ai, then create a new cell and download the checkpoint to the AUTOMATIC1111 model folder:
!wget "<model_url>" -O "/content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Stable-diffusion/custom_model.safetensors"
-
You can now restart the web ui by running the previous cell. You will now be able to select your custom model in the "Stable Diffusion checkpoint" dropdown:
It should be straightforward to adapt these steps if you use another AUTOMATIC1111 notebook or run it on another platform. If you have any issue, just ask on the dreamlook.ai Discord server!
Step 4: Generate images!
You can now use the full power of the AUTOMATIC1111 web ui to create images 🤩🖼
AUTOMATIC1111 is a powerful tool with a large array of options. There are many great tutorials to get started on YouTube - we particularly recommend content from Aitrepreneur.
Directories
- A:
---
- B:
---
Civitai Extension for Automatic 1111 Stable Diffusion Web UI
Manage and interact with your Automatic 1111 SD instance right from Civitai
Civitai.Link.-.March.2023.Alpha.mp4
Features
- Automatically download preview images for all models, LORAs, hypernetworks, and embeds
- Automatically download a model based on the model hash upon applying pasted generation params
- Resources in Metadata: Include the SHA256 hash of all resources used in an image to be able to automatically link to corresponding resources on Civitai
- Flexible Resource Naming in Metadata: Hashify the names of resources in prompts to avoid issues with resource renaming and make prompts more portable
- Civitai Link (Alpha): Optional websocket connection to be able to add/remove resources and more in your SD instance while browsing Civitai or other Civitai Link enabled sites.
Installation
Through the Extensions UI (Recommended)
- Open the Extensions Tab in Automatic1111 SD Web UI
- In the Extension Tab Open the "Instal from URL" tab
- Paste
https://github.com/civitai/sd_civitai_extension.git
into the URL input - Press install and wait for it to complete
- Restart Automatic1111 (Reloading the UI will not install the necessary requirements)
Manually
- Download the repo using any method (zip download or cloning)
git clone https://github.com/civitai/sd_civitai_extension.git
- After downloading the repo, open a command prompt in that location
cd C:\path\to\sd_civitai_extension
- Then run the included install.py script
py install.py # OR python install.py
Workflow
Model: SDXL
Image Generator: clipdrop.co/stable-diffusion
Prompt: "[Name of World Leader] Amigurumi" (Photographic Style)
Directories
- A:
---
- B:
---
To get started with writing JavaScript, open the Scratchpad and write your first "Hello world" JavaScript code:
function greetMe(yourName) { alert("Hello " + yourName);
Select the code in the pad and hit Ctrl+R to watch it unfold in your browser!
I am an IT pro, blogger, game developer and pixel artist. I am also intersted in Web Developing.
If you want to see my works, Visit the below links:
- twitter.com/masayumeP
- github.com/masayume
- www.masayume.it
- pinterest.co.uk/masayume
page designed by Umar Farooq.


Preferences Dialog:
Preferences Dialog: | - Set various IDE preferences
FORMS
The Preferences choice produces the following popup window: Selections made using any of the
buttons on this window immediately apply to the window (listenter, debugger,
or editor window) from which the Preferences button was pressed. Selecting Cancel simply removes the Fonts & Colors window without undoing any changes. Selecting Save records the selected preferences in the inititialization file (alsdev.ini) which is read at start-up time, and also records the selections globally for
the current session. Although no existing editor windows are changed, all new
editor windows created will use the newly recorded preferences. Preferences
for the main listener window and the debugger window are saved separately from
the editor window preferences.


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The Alcathoe Bat
The Alcathoe bat (Myotis alcathoe) a European bat in the genus Myotis.[2] Known only from Greece and Hungary when it was first described in 2001, its known distribution has since expanded to Spain, England, Sweden, and Azerbaijan, among other countries. It is similar to the whiskered bat (Myotis mystacinus) and other species and is difficult to distinguish from them. However, its brown fur is distinctive and it is clearly different in characters of its karyotype and DNA sequences. Although some genetic data suggest that it is related to Geoffroy's bat (Myotis emarginatus), other analyses do not support a close relationship between M. alcathoe and any other species. With a forearm length of 30.8 to 34.6 mm (1.21 to 1.36 in) and body mass of 3.5 to 5.5 g (0.12 to 0.19 oz), Myotis alcathoe is a small bat. The fur is usually reddish-brown on the upperparts and brown below, but more grayish in juveniles. The tragus (a projection on the inner side of the ear) is short, as is the ear itself, and the inner side of the ear is pale at the base. The wings are brown and the baculum (penis bone) is short and broad. M. alcathoe has a very high-pitched echolocation call, with a frequency that falls from 120 kHz at the beginning of the call to about 43 kHz at the end. Usually found in old-growth deciduous forest near water, Myotis alcathoe forages high in the canopy and above water and mostly eats flies. The animal roosts in cavities high in trees. Although there are some winter records from caves, it may also spend the winter in tree cavities. Several parasites have been recorded on M. alcathoe. The IUCN Red List assesses Myotis alcathoe as "Data Deficient", but it is considered threatened in several areas because of its rarity and vulnerability to habitat loss.
John Stewart


This will create a new building for you. A building is a physical space with multiple rooms in it.
Building Name Use a unique name that is known by almost anyone.


Firstname*
Lastname*
Birthday*
Gender*
Male
Female
Country*
USA
England
France
Email*
Password*
Address*
Notes


PubNinja —
File uploader
Create a web page which allows user to take images/videos/audio from their device(it could be either internal or
external connected device).
Once user takes/records the image/video/audio show that on the same page in the feed format. Think of it like FB status update tool bar, it takes the content and then pushes it below on the feed(but only for image, audio and video). User should be able to playback and delete the content that he has uploaded on the page.
Once user takes/records the image/video/audio show that on the same page in the feed format. Think of it like FB status update tool bar, it takes the content and then pushes it below on the feed(but only for image, audio and video). User should be able to playback and delete the content that he has uploaded on the page.
i
Intructions to follow:
Create a web page which allows user to take images/videos/audio from their device(it could be either internal or
external connected device).
Once user takes/records the image/video/audio show that on the same page in the feed format.
Think of it like FB status update tool bar, it takes the content and then pushes it below on the feed(but only for
image, audio and video). User should be able to playback and delete the content that he has uploaded on the page.
NOTE: Supports only images/videos/audio


+++ title = "Swimming in Playa" slug = "swimming-in-playa" date = 2007-03-04T12:00:00+10:00 tags = ["beach", "stunning"] locations = ["mexico/playa-del-carmen"] draft = false summary = """
Spent the entire morning in the water at Playa. It was so absolutely stunning and relaxing, I couldn't pull myself out. I lazed around in the shallows for a while; then I swam to the other end of the beach and back again, exploring everything in between. I hope I don't die anytime soon, because when (and if!) I go to heaven, I doubt it could be better than this.
""" +++Spent the entire morning in the water at Playa. It was so absolutely stunning and relaxing, I couldn't pull myself out. I lazed around in the shallows for a while; then I swam to the other end of the beach and back again, exploring everything in between. I hope I don't die anytime soon, because when (and if!) I go to heaven, I doubt it could be better than this.
{{< galleryphoto "2007-03-04-12-00-00--the-divine-waters-of-playa.jpg" >}}The beach is longer and more varied than I thought. People only really swim in a few little pockets of the beach. In between, there are boats (with their dirt, and their petrol smell), and there's a pier. But it's possible to swim around most of these, if you really want to (and I did!). There are also people doing all sorts of watersports — such as parasailing, jetskiing, and scuba diving — in numerous spots along the beach.


--- layout: stats title: Caltech B Statistics permalink: "/stats/teams/caltech-b.html" ---
| Year | Team | Status | Finish | W-L | PPG | PAPG | Margin | TU/G | N/G | BHrd | BPts | PPB |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005 | Caltech B | 19 | 4-8 | 72.1 | 152.5 | -80.4 | 4.92 | 0.92 | 59 | 330 | 5.59 |
| Year | Round | Team | Opponent | Result | Score | 10 | -5 | PPB | Packet |
|---|---|---|---|---|---|---|---|---|---|
| 2005 | 1 (Prelims) | Caltech B | Berkeley A | Loss | 40 - 350 | 3 | 2 | 6.67 | No Packet Recorded |
| 2005 | 2 (Prelims) | Caltech B | Harvard A | Loss | 80 - 180 | 5 | 0 | 6.00 | No Packet Recorded |
| 2005 | 3 (Prelims) | Caltech B | Chicago B | Win | 60 - 50 | 5 | 0 | 2.00 | No Packet Recorded |
| 2005 | 4 (Prelims) | Caltech B | Vanderbilt | Loss | 50 - 245 | 4 | 0 | 2.50 | No Packet Recorded |
| 2005 | 5 (Prelims) | Caltech B | Michigan B | Loss | 90 - 140 | 6 | 2 | 6.67 | No Packet Recorded |
| 2005 | 6 (Prelims) | Caltech B | Texas A&M | Loss | 70 - 370 | 3 | 0 | 13.33 | No Packet Recorded |
| 2005 | 8 (Playoffs) | Caltech B | Illinois-Chicago | Win | 145 - 5 | 10 | 1 | 5.00 | No Packet Recorded |
| 2005 | 10 (Playoffs) | Caltech B | Rutgers | Loss | 70 - 130 | 4 | 2 | 10.00 | No Packet Recorded |
| 2005 | 11 (Playoffs) | Caltech B | Chicago B | Loss | 35 - 100 | 4 | 3 | 2.50 | No Packet Recorded |
| 2005 | 12 (Playoffs) | Caltech B | Caltech A | Loss | 5 - 145 | 1 | 1 | 0.00 | No Packet Recorded |
| 2005 | 13 (Playoffs) | Caltech B | Brandeis | Win | 120 - 35 | 8 | 0 | 5.00 | No Packet Recorded |
| 2005 | 14 (Playoffs) | Caltech B | Athens State A | Win | 100 - 80 | 6 | 0 | 6.67 | No Packet Recorded |
| Year | Team | Player | Games | Tossups | Negs | Pts | PPG |
|---|---|---|---|---|---|---|---|
| 2005 | Caltech B | Brutas (pseudonym) | 12 | 39 | 8 | 350 | 29.17 |
| 2005 | Caltech B | Ning (pseudonym) | 12 | 13 | 0 | 130 | 10.83 |
| 2005 | Caltech B | Cornelus (pseudonym) | 12 | 6 | 1 | 55 | 4.58 |
| 2005 | Caltech B | Agrippa (pseudonym) | 12 | 1 | 2 | 0 | 0.00 |


Abracadabra! said the math wizard as he waved his wand over the algebra equations scrawled on the walls of the old Alhambra Palace, magically transforming them into a perfect solution. [G|D]
As the light from the candelabra illuminated the room, the alchemist's eyes glowed with excitement as he placed a bra on the cerebra, believing that it would unlock the secret of eternal life. [G|D]
With a hiss, the cobra slithered out of its basket and began to slink around the scales of Libra, casting an eerie penumbra as it passed in the shadows of the night. [G|D]
As the moon began to traverse the sky, throwing a ghostly umbra across the plains, the herd of zebras meandered past the ancient vertebrae of long dead animals. [G|D]


Networked ontologies used by :
| Ontology | Relation | Integration Level |
| SPO - Software Process Ontology | High | |
| COM - Core Ontology on Measurement | High |
Figure 1 presents the conceptual model of the RSMO Modularization.
Figure 1. RSMO Modularization conceptual model.
Figure 2 presents the conceptual model of the Software Measurement Entities subontology.
Figure 2. Software Measurement Entities conceptual model.
Figure 3 presents the conceptual model of the Software Measurement Process subontology.
Figure 3. Software Measurement Process conceptual model.
Figure 4 presents the conceptual model of the Software Measurement Planning subontology.
Figure 4. Software Measurement Planning conceptual model.
Figure 5 presents the conceptual model of the Measurement Execution subontology.
Figure 5. Measurement Execution conceptual model.
Figure 6 presents the conceptual model of the Measurement Analysis subontology.
Figure 6. Measurement Analysis conceptual model.
Figure 7 presents the conceptual model of the Operational Definition of Measure subontology.
Figure 7. Operational Definition of Measure conceptual model.
The following table shows the definitions for concepts.
| Concept | Definition |
| Analysis Result Description | Information Item that records the Analysis Result produced in a Software Measurement Analysis.
Ex.: the record of the analysis result: the schedule performance index of the Project P has improved in the last three months and the project is now adherent to the agreed schedule. |
| Business Goal | Goal that expresses the intention for which strategic actions are planned and performed.
Ex.: Increase the client’s satisfaction degree. |
| Data Analysis | Activity for analyzing the selected Measured Values and producing the Analysis Result Description that records the Analysis Result.
|
| Data Collection | Activity for collecting and storing data for the Software-Related Measure indicated in the selected Software Measurement Plan Item. |
| Information Need Description | Information Item that documents the description of an Information Need.
Ex.: the record of the information need What is the delivered defects density?. |
| Information Needs Identification | Activity for identifying and recording the Information Needs to be included in the Software Measurement Plan. Information Needs are identified from the established Software Measurement Goals. |
| Measurable Software-Related Entity | Measurable Entity related to software.
Ex.: a software project, a standard process. |
| Measurable Software-Related Entity Type | Type of Measurable Entities related to software.
Ex.: the Requirements Engineering Standard Process is a measurable software-related entity of the Standard Process type. |
| Measure Description | Information Item that documents the description of a Software-Related Measure.
Ex.: the record of the software-related measure delivered defects density. |
| Measured Value Description | Information Item that records a Measured Value.
Ex.: the record of the measured value 0.75. |
| Measurement Analysis Procedure | Procedure applied to analyze Measured Values obtained for a Software-Related Measure.
|
| Measurement Analyst | Role played by the Stakeholder in charge of Software Measurement Analysis.
Ex.: If John (a Person Stakeholder) was in charge of a software measurement analysis, then he played the role of measurement analyst. |
| Measurement Context | Situation in which a Software Measurement Execution was performed.
Ex.: an example of measurement context for a software measurement execution that obtained the measured value 0.75 for the software-related measure schedule performance index to the Project P could be: measurement performed one month after substituting two of the team members with two members less experienced. |
| Measurement Executor | Role played by the Stakeholder in charge of Software Measurement Execution.
Ex.: If Mary (a Person Stakeholder) was in charge of a software measurement execution, then she played the role of measurement executor. |
| Measurement Goals Establishment | Activity for establishing and recording the Software Measurement Goals to be included in the Software Measurement Plan. |
| Measurement Manager | Role played by the Stakeholder in charge of Software Measurement Planning.
Ex.: If John (a Person Stakeholder) was in charge of a software measurement planning, then he played the role of measurement manager. |
| Measurement Plan Item Selection | Activity for selecting the Software Measurement Plan Item to be used to guide the Software Measurement Execution. The selected Software Measurement Plan Item indicates the Software-Related Measured to be applied in the Software Measurement Execution and the Operational Definition of Measure to be considered. |
| Measurement Planning Start | Activity for defining the Software Measurement Plan structure, its initial information (e.g., organization to which it was defined and elaboration date) and starting its elaboration. |
| Measurement Result Reporting | Activity for communicating the Analysis Result Description to the relevant Stakeholders. |
| Measurement Tool | CASE Tool able to perform automatic measurements (i.e., measurements performed without human intervention).
Ex.: Subversion, Taiga. |
| Measures Identification | Activity for identifying and recording the Software-Related Measures to be included in the Software Measurement Plan. Software-Related Measures are identified from Information Needs in the sense that Measures must meet the identified Information Needs.
|
| Operational Definition of Measure | Information Item that specifies information regarding data collection and analysis of a Software-Related Measure. An Operational Definition of Measure indicates: Measurement Procedure, Measurement Periodicity, Measurement Moment, Measurement Responsible, Measurement Analysis Procedure, Measurement Analysis Periodicity, Measurement Analysis Moment, and Measurement Analysis Responsible. |
| Operational Definition of Measure Establishment | Activity for establishing the Operational Definitions of Measures for the identified Software-Related Measures. |
| Periodicity |
|
| Planning Item Documentation | Activity for documenting Measurement Planning Items. Each Measurement Planning Item includes a Software Measurement Goal Description, an Information Need Description, a Software-Related Measure and an Operational Definition of Measure. Measurement Planning Items produced during the Software Measurement Analysis are part of the Software Measurement Plan produced in that activity. |
| Selection of Data for Analysis | Activity for selecting the Measured Values of the selected Software-Related Measures to be analyzed in the Software Measurement Analysis. |
| Selection of Entity for Measurement | Activity for selecting the Software-Related Measurable Entity to be measured in the Software Measurement Execution. The selected entity type must be the Software-Related Measurable Entity Type indicated in the Operational Definition of Measure defined in the selected Software Measurement Plan Item. |
| Selection of Measurement Goals for Analysis | Activity for selecting the Software Measurement Goal to be monitored by using information provided by the Software Measurement Analysis. |
| Selection of Measures for Analysis | Activity for selecting, among the Software-Related Measures related to the selected Software Measurement Goal the ones to be analyzed in the Software Measurement Analysis. |
| Software Goal | Goal that expresses the intention for which software-related actions are planned and performed. Software Goals are based on Business Goals.
Ex.: the software goal Improve software products quality could be defined based on the business goal Increase the client’s satisfaction degree. |
| Software Measurement Analysis | Activity for analyzing Measured Values collected for Software-Related Measures aiming to characterize a Software-Related Measurable Entity and provide information related to a Software Measurement Goal.
Ex.: a software measurement analysis that analyzed the measured values 0.75, 0.9 e 1, collected for the measure schedule performance index to characterize the software-related measurable entity Project P. |
| Software Measurement Execution | Activity for measuring a Software-Related Measurable Entity by applying a Software-Related Measure and obtaining a Measured Value.
Ex.: the software measurement execution that applied the software-related measure schedule performance index to measure the Project P and obtained the measured value 0.75. |
| Software Measurement Goal | Measurement Goal related to software. Software Measurement Goals are based on Business Goals or Software Goals.
Ex.: the measurement goal Decrease defects in delivered products could be defined based on the software goal Improve software products quality. |
| Software Measurement Goal Description | Information Item that documents the description of a Software Measurement Goal.
Ex.: the record of the software measurement goal Decrease defects in delivered products. |
| Software Measurement Plan | Document produced during Software Measurement Planning. It is composed of Software Measurement Planning Items.
Ex.: the Software Measurement Plan defined for the Organization O. |
| Software Measurement Planning | Activity for planning the software measurement, i.e., for determining the Software Measurement Goals to be monitored, the Information Needs to be considered, the Software-Related Measures to be collected to meet the Information Needs and the Operational Definition of Measure to be considered. |
| Software Measurement Planning Item | Measurement Planning Item related to software. It is an Information Item produced during Software Measurement Planning and it is composed of a Software Measurement Goal Description, an Information Need Description, a Measure Description and an Operational Definition of Measure.
Ex.: the software measurement planning item composed of the software measurement goal description Decrease defects in delivered products, the information need description What is the delivered defects density?, the measure description delivered defects density and an operational definition of measure established to the software-related measure delivered defects density. |
| Software Measurement Process | The Software Measurement Process is a Process with the purpose of collecting, analyzing, and reporting data relating to the products developed and the processes used to develop them, aiming to support effective processes management and objectively demonstrate products quality.
|
| Software Project Measurement Plan | A Software Measurement Plan defined for a Project.
Ex.: the Software Project Measurement Plan defined for the Project P. |
| Software-Related Measure | Measure used to quantify Measurable Elements of Measurable Software-Related Entities.
Ex.: the software-related measure number of lines of code could be used to quantify the measurable element size of measurable-related entities of the Software type. |
| Analysis Result Description |
Analysis Result Description (0..1) describes (1..1) Analysis Result
Measurement Result Reporting uses Analysis Result Description
Software Measurement Analysis (1..1) \creates (1..1) Analysis Result Description
Data Analysis creates Analysis Result Description
| Business Goal |
Software Measurement Goal (0..*) based on (1..*) Business Goal
Software Goal (0..*) based on (1..*) Business Goal
<<event>> Data Analysis |
Data Analysis creates Analysis Result Description
Software Measurement Analysis <>-- Data Analysis
<<event>> Data Collection |
Data Collection creates Measured Value Description
Software Measurement Execution <>-- Data Collection
<<subkind>> Information Need Description |
Information Need Description (0..1) describes (1..1) Information Need
Information Needs Identification creates Information Need Description
Software Measurement Planning Item (0..*) <>-- (1..1) Information Need Description
<<event>> Information Needs Identification |
Information Needs Identification creates Information Need Description
Software Measurement Planning <>-- Information Needs Identification
| Measurable Software-Related Entity |
Measurable Software-Related Entity (0..*) instance of (1..1) Measurable Software-Related Entity Type
Software Measurement Execution (0..*) measures (1..1) Measurable Software-Related Entity
| Measurable Software-Related Entity Type |
Measurable Software-Related Entity (0..*) instance of (1..1) Measurable Software-Related Entity Type
Operational Definition of Measure (0..*) indicates (1..1) Measurable Software-Related Entity Type
<<subkind>> Measure Description |
Measure Description (0..*) describes (1..1) Software-Related Measure
Measures Identification creates Measure Description
Software Measurement Planning Item (0..*) <>-- (1..1) Measure Description
| Measured Value Description |
Measured Value Description (0..1) describes (1..1) Measured Value
Software Measurement Analysis (0..*) \uses (1..*) Measured Value Description
Data Collection creates Measured Value Description
Software Measurement Execution (1..1) \creates (1..1) Measured Value Description
| Measurement Analysis Procedure |
Measurement Analysis Procedure (0..*) applies to (1..*) Measure
Software Measurement Analysis (0..*) adopts (1..1) Measurement Analysis Procedure
Operational Definition of Measure (0..*) indicates (0..1) Measurement Analysis Procedure
<<role>> Measurement Analyst |
Measurement Analyst (1..1) in charge of (1..*) Software Measurement Analysis
| Measurement Context |
Software Measurement Execution (1..*) occurs in (1..1) Measurement Context
<<role>> Measurement Executor |
Measurement Executor (1..1) in charge of (1..*) Software Measurement Execution
Software Measurement Execution (0..*) performed by (1..1) Measurement Executor
<<event>> Measurement Goals Establishment |
Measurement Goals Establishment creates Software Measurement Goal Description
Software Measurement Planning <>-- Measurement Goals Establishment
<<role>> Measurement Manager |
Measurement Manager (1..1) in charge of (1..*) Software Measurement Planning
<<event>> Measurement Plan Item Selection |
Software Measurement Execution <>-- Measurement Plan Item Selection
<<event>> Measurement Planning Start |
Measurement Planning Start creates Software Measurement Plan
Software Measurement Planning <>-- Measurement Planning Start
<<event>> Measurement Result Reporting |
Measurement Result Reporting uses Analysis Result Description
Software Measurement Analysis <>-- Measurement Result Reporting
<<role>> Measurement Tool |
Software Measurement Execution (1..*) performed by (1..1) Measurement Tool
Operational Definition of Measure (0..*) indicates (1..1) Measurement Tool
<<event>> Measures Identification |
Measures Identification creates Measure Description
Software Measurement Planning <>-- Measures Identification
<<subkind>> Operational Definition of Measure |
Operational Definition of Measure (0..*) indicates (1..1) Measurable Software-Related Entity Type
Operational Definition of Measure (0..*) indicates (1..1) Measurable Element
Operational Definition of Measure (0..*) defined for (1..1) Software-Related Measure
Operational Definition of Measure (0..*) indicates (1..1) Measurement Procedure
Operational Definition of Measure (0..*) indicates (0..*) Standard Activity
Operational Definition of Measure (0..*) indicates (0..1) Measurement Analysis Procedure
Operational Definition of Measure (0..*) indicates (0..1) Periodicity
Operational Definition of Measure (0..*) indicates (0..1) Organizational Role
Operational Definition of Measure (0..*) indicates (1..1) Measurement Tool
Operational Definition of Measure Establishment creates Operational Definition of Measure
Software Measurement Analysis (0..*) is performed according to (0..*) Operational Definition of Measure
Software Organization (1..*) establishes (0..*) Operational Definition of Measure
Software Measurement Execution (0..*) /performed based on (1..1) Operational Definition of Measure
Software Measurement Planning Item (0..*) <>-- (1..1) Operational Definition of Measure
<<event>> Operational Definition of Measure Establishment |
Operational Definition of Measure Establishment creates Operational Definition of Measure
Software Measurement Planning <>-- Operational Definition of Measure Establishment
| Periodicity |
Operational Definition of Measure (0..*) indicates (0..1) Periodicity
<<event>> Planning Item Documentation |
Planning Item Documentation creates Software Measurement Planning Item
Planning Item Documentation changes Software Measurement Plan
Software Measurement Planning <>-- Planning Item Documentation
<<event>> Selection of Data for Analysis |
Software Measurement Analysis <>-- Selection of Data for Analysis
<<event>> Selection of Entity for Measurement |
Software Measurement Execution <>-- Selection of Entity for Measurement
<<event>> Selection of Measurement Goals for Analysis |
Software Measurement Analysis <>-- Selection of Measurement Goals for Analysis
<<event>> Selection of Measures for Analysis |
Software Measurement Analysis <>-- Selection of Measures for Analysis
| Software Goal |
Software Goal (0..*) based on (1..*) Business Goal
Software Measurement Goal (0..*) based on (1..*) Software Goal
<<event>> Software Measurement Analysis |
Software Measurement Analysis <>-- Selection of Measurement Goals for Analysis
Software Measurement Analysis <>-- Selection of Measures for Analysis
Software Measurement Analysis <>-- Selection of Data for Analysis
Software Measurement Analysis <>-- Data Analysis
Software Measurement Analysis <>-- Measurement Result Reporting
Software Measurement Analysis uses Software Measurement Plan
Software Measurement Analysis (0..*) adopts (1..1) Measurement Analysis Procedure
Software Measurement Analysis (0..*) (0..1) Performed Activity
Software Measurement Analysis (0..*) is performed according to (0..*) Operational Definition of Measure
Software Measurement Analysis (0..*) \uses (1..*) Measured Value Description
Software Measurement Analysis (0..*) considers (1..*) Software-Related Measure
Software Measurement Analysis (0..*) performed based on (1..*) Software Measurement Planning Item
Software Measurement Analysis (1..1) \creates (1..1) Analysis Result Description
Measurement Analyst (1..1) in charge of (1..*) Software Measurement Analysis
Software Measurement Process <>-- Software Measurement Analysis
<<event>> Software Measurement Execution |
Software Measurement Execution <>-- Measurement Plan Item Selection
Software Measurement Execution <>-- Selection of Entity for Measurement
Software Measurement Execution <>-- Data Collection
Software Measurement Execution uses Software Measurement Plan
Software Measurement Execution (1..*) occurs in (1..1) Measurement Context
Software Measurement Execution (0..*) occurs in (1..1) Performed Activity
Software Measurement Execution (0..*) performed by (1..1) Measurement Executor
Software Measurement Execution (1..*) performed by (1..1) Measurement Tool
Software Measurement Execution (0..*) measures (1..1) Measurable Software-Related Entity
Software Measurement Execution (0..*) applies (1..1) Software-Related Measure
Software Measurement Execution (0..*) performed based on (1..1) Software Measurement Planning Item
Software Measurement Execution (0..*) /performed based on (1..1) Operational Definition of Measure
Software Measurement Execution (1..1) \creates (1..1) Measured Value Description
Software Measurement Process <>-- Software Measurement Execution
Measurement Executor (1..1) in charge of (1..*) Software Measurement Execution
| Software Measurement Goal |
Software Measurement Goal (0..*) based on (1..*) Software Goal
Software Measurement Goal (0..*) based on (1..*) Business Goal
Software Measurement Goal Description (0..1) describes (1..1) Software Measurement Goal
<<subkind>> Software Measurement Goal Description |
Software Measurement Goal Description (0..1) describes (1..1) Software Measurement Goal
Measurement Goals Establishment creates Software Measurement Goal Description
Software Measurement Planning Item (0..*) <>-- (1..1) Software Measurement Goal Description
<<subkind>> Software Measurement Plan |
Software Measurement Plan (1..1) <>-- (0..*) Software Measurement Planning Item
Software Measurement Plan (1..1) depicts (0..*) Software Measurement Planning Item
Software Measurement Analysis uses Software Measurement Plan
Software Measurement Planning (1..*) produces (1..1) Software Measurement Plan
Planning Item Documentation changes Software Measurement Plan
Software Measurement Execution uses Software Measurement Plan
Measurement Planning Start creates Software Measurement Plan
<<event>> Software Measurement Planning |
Software Measurement Planning <>-- Measurement Goals Establishment
Software Measurement Planning <>-- Information Needs Identification
Software Measurement Planning <>-- Measures Identification
Software Measurement Planning <>-- Operational Definition of Measure Establishment
Software Measurement Planning <>-- Measurement Planning Start
Software Measurement Planning <>-- Planning Item Documentation
Software Measurement Planning (1..1) produces (1..*) Software Measurement Planning Item
Software Measurement Planning (1..*) produces (1..1) Software Measurement Plan
Software Measurement Process <>-- Software Measurement Planning
Measurement Manager (1..1) in charge of (1..*) Software Measurement Planning
<<subkind>> Software Measurement Planning Item |
Software Measurement Planning Item (0..*) <>-- (1..1) Operational Definition of Measure
Software Measurement Planning Item (0..*) <>-- (1..1) Measure Description
Software Measurement Planning Item (0..*) <>-- (1..1) Information Need Description
Software Measurement Planning Item (0..*) <>-- (1..1) Software Measurement Goal Description
Software Measurement Analysis (0..*) performed based on (1..*) Software Measurement Planning Item
Software Measurement Planning (1..1) produces (1..*) Software Measurement Planning Item
Planning Item Documentation creates Software Measurement Planning Item
Software Measurement Execution (0..*) performed based on (1..1) Software Measurement Planning Item
Software Measurement Plan (1..1) <>-- (0..*) Software Measurement Planning Item
Software Measurement Plan (1..1) depicts (0..*) Software Measurement Planning Item
| Software Measurement Process |
Software Measurement Process <>-- Software Measurement Planning
Software Measurement Process <>-- Software Measurement Execution
Software Measurement Process <>-- Software Measurement Analysis
| Software Project Measurement Plan |
Software Project Measurement Plan (0..*) defined for (1..1) Software Project
| Software-Related Measure |
Software Measurement Analysis (0..*) considers (1..*) Software-Related Measure
Software Measurement Execution (0..*) applies (1..1) Software-Related Measure
Measure Description (0..*) describes (1..1) Software-Related Measure
Operational Definition of Measure (0..*) defined for (1..1) Software-Related Measure


--- layout: default --- {% include when.html %} {% include sponsors.html %} {% include map.html %} {% include organizers.html %}


Tools
This is the list of tools I used during the course.
| Purpose | Choice | Reasons |
|---|---|---|
| Text Editor | Visual Studio Code | Familiarity, ease of use, nice layout |
| Graphics Editor | GIMP | Free, open source, easy to use. |
| Vector Editor | InkScape | Free, easy to use. |
| Screen Capture | PicPick | Easy to use |
| Image Resizer | FastOne Photo Resizer | Quick and convenient |
| CAD System | Fusion 360 | Pro CAD software, 1 year education license, familiarity. |
| IDE | Arduino | Convenient, familiarity, easy to use |
| Browser | Chrome | Familiarity, habit |


Enaki Town
Rosslyn
Residential Resort Town
Price: From Kshs 6.48M
Timeless yet contemporary, Enaki is an exquisite new addition to its idyllic suburban surround, in an enviable city-fringe location...
We offer top-notch developments all over Nairobi city.
These developments have been conceptualized to be high quality assets
using a modern approach in planning
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University of Lethbridge Science Commons / KPMB Architects + Stantec Architecture
- Curated by Paula Pintos
- about 7 hours
University · Lethbridge, Canada
- version="1.0" encoding="UTF-8"? Architects: KPMB Architects, Stantec Architecture
- AreaArea of this architecture projectArea: 35999.6 ft2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2019
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Nic Lehoux, Adrien Williams
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: Fibre 'C', Levolux, Mosa Tila, Mott Manufacturing, Rulon International
- Lead Architects Engineering Bruce Kuwabara (JV Partner/Co-Project Director), Mitchell Hall (Project Architect), Lucy Timbers (Associate), Kael Opie (Associate), Nic Green, Andrew Hill, Amin Monsefi, Mahtab Ghashghaii
- Structural Engineering Entuitive
- Mechanical Engineering SNC Lavalin
- Electrical Engineering SMP Engineering
- Building Envelope Engineering Building Envelope Engineering Inc.
- Elevator Engineering Soberman Engineering Inc.
- Landscape PFS Studio
- LEED Consultant Stantec Consulting
- AV Design Consultant The Sextant Group
- Civil Consultant Stantec Consulting
- Wind Studies Consultant RWDI
- Traffic Consultant Stantec Consulting
More Specs Less Specs
Text description provided by the architects. The Science Commons is a critical component of a larger vision to diversify Alberta’s economy into the knowledge and innovation industries. Located on the Lethbridge University Campus in the majestic coulee landscape and next door to Arthur Erickson’s iconic University Hall (1971), the project is purpose-built for transdisciplinary research and teaching.
A tailor-made integrated design process was fundamental to promoting active discourse between researchers, instructors, users, and the design team to define the qualities that should drive the creation of a transdisciplinary environment unique to the University.
The program combines open research and teaching labs, common collaboration spaces, shared equipment and facilities forming an agile, flexible framework to encourage synergies between Chemistry, Biological Sciences, Biochemistry, Neuroscience, Psychology, Physics, and Astronomy.
Lethbridge is one of the sunniest and driest places in Canada. By capitalizing on passive energy from this unique climate, the project will outperform the 50% baseline typology of conventional lab buildings, with a projected 78% energy use reduction for the support spaces and 60% for laboratory spaces.
The low horizontal form sits lightly on the landscape and is highly transparent as a counterpoint to the solid monumentality of Erickson’s University Hall. Generously scaled gathering spaces overlook the Oldman River Valley, connecting users to the prairie landscape and reinforcing the building as a place to explore the mystery and interconnectivity of humanity, nature and the universe.


This dialog only appears if your copy of HexEdit is not registered. It reminds you to register and presents options for registration. You can also jump to our registration web page to pay now.
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Use this button to connect to our web site to pay and register on-line (see Methods of Payment below for more information). If the button does not work try this:
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If sending your payment by mail, use this button to display the order form. Print out this form, fill it out, and send it with your payment.
Use this button to find out more or to initiate registration via email. You must still provide payment through regular mail or our web site (see Methods of Payment below for more information). Please do not send credit card numbers in email, as this is insecure.
Help
The Help button brings up this help page.
Cost
You may purchase a single-user license (license) for $40 (US dollars). You may not use a single-user license to run multiple copies of HexEdit Pro on different machines simultaneously. For this, site (multi-user) licenses are available at a per-user discount upon request. However, a single person may run HexEdit Pro on different machines at different times.
What You Get
Purchasing a licence (license) entitles you to free support and upgrades for at least 2 years. It also means that if you want a specific enhancement, it will be given priority over my own ideas and those of unregistered users. We have a history of implementing user requests.
And (this may sound like the standard shareware pitch :-) by buying the product you will make it better, since I can put more time into improving it. I promise that all sales are put back into development and not into a new sportscar.
HexEdit 1.0 was released as freeware and had an overwhelmingly positive response. Unfortunately due to work and family commitments I have been able to do very little work on it for almost 18 months. So in order to justify the time spent on the numerous requested enhancements (and my own ideas for enhancements), I have found it necessary to release new versions as shareware.
If you really cannot afford to pay for it we have a freeware version - see http://www.hexedit.com.
There really are some interesting possible enhancements in the pipeline. For example, an advanced file compare facility. By buying the product you may make these sorts of enhancements a reality.
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You can pay by credit card at our registration web page, or send us a cheque (check) in the mail. This facility is very convenient and totally secure. Click the Web Site button to go to the on-line HexEdit registration page in your browser, assuming you are connected to the Internet.
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Any information that you supply is kept strictly confidential. In particular, any email address you supply is not sold or made available to any other party. The email address is used for registration instructions and to inform you of updates to the software only.


| untar {utils} | R Documentation |
Extract files from or list the contents of a tar archive.
untar(tarfile, files = NULL, list = FALSE, exdir = ".", compressed = NA, extras = NULL, verbose = FALSE, restore_times = TRUE, tar = Sys.getenv("TAR"))
tarfile |
The pathname of the tar file: tilde expansion (see
|
files |
A character vector of recorded filepaths to be extracted: the default is to extract all files. |
list |
If |
exdir |
The directory to extract files to (the equivalent of
|
compressed |
logical or character string. Values |
extras |
|
verbose |
logical: if true echo the command used. |
restore_times |
logical. If true (default) restore file modification times. If false, the equivalent of the -m flag. Times in tarballs are supposed to be in UTC, but tarballs have been submitted to CRAN with times in the future or far past: this argument allows such times to be discarded. Note that file times in a tarball are stored with a resolution of 1 second, and can only be restored to the resolution supported by the file system (which on a FAT system is 2 seconds). |
tar |
character string: the path to the command to be used. If
the command itself contains spaces it needs to be quoted – but
|
This is either a wrapper for a tar
command or for an
internal implementation written in R. The latter is used if
tarfile
is a connection or if the argument tar
is
"internal"
or ""
(except on Windows, when
tar.exe
is tried first).
What options are supported will depend on the tar
used.
Modern GNU flavours of tar
will support compressed archives,
and since 1.15 are able to detect the type of compression
automatically: version 1.20 added support for lzma
and
version 1.22 for xz
compression using LZMA2. macOS 10.6 and
later (and FreeBSD and some other OSes) have a tar
(also
known as bsdtar
) from the libarchive project which
can also detect gzip
and bzip2
compression
automatically. For other flavours of tar
, environment
variable R_GZIPCMD gives the command to decompress
gzip
and compress
files, and R_BZIPCMD
for bzip2
files.
Arguments compressed
, extras
and verbose
are only
used when an external tar
is used.
The internal implementation restores symbolic links as links on a
Unix-alike, and as file copies on Windows (which works only for
existing files, not for directories), and hard links as links. If the
linking operation fails (as it may on a FAT file system), a file copy
is tried. Since it uses gzfile
to read a file it can
handle files compressed by any of the methods that function can
handle: at least compress
, gzip
, bzip2
and xz
compression, and some types of lzma
compression. It does not guard against restoring absolute file paths,
as some tar
implementations do. It will create the parent
directories for directories or files in the archive if necessary. It
handles the standard (USTAR/POSIX), GNU and pax
ways of
handling file paths of more than 100 bytes, and the GNU way of
handling link targets of more than 100 bytes.
You may see warnings from the internal implementation such as
unsupported entry type 'x'
This often indicates an invalid archive: entry types "A-Z"
are
allowed as extensions, but other types are reserved. The only thing
you can do with such an archive is to find a tar
program that
handles it, and look carefully at the resulting files. There may also
be the warning
using pax extended headers
This is indicates that additional information may have been discarded, such as ACLs, encodings ....
The standards only support ASCII filenames (indeed, only alphanumeric
plus period, underscore and hyphen). untar
makes no attempt to
map filenames to those acceptable on the current system, and treats
the filenames in the archive as applicable without any re-encoding in
the current locale.
The internal implementation does not special-case ‘resource
forks’ in macOS: that system's tar
command does. This may
lead to unexpected files with names with prefix ‘._’.
If list = TRUE
, a character vector of (relative or absolute)
paths of files contained in the tar archive.
Otherwise the return code from system
with an external
tar
or 0L
, invisibly.


--- layout: post title: "My Week in Review" date: 2016-08-28 08:05:00 +0000 tags: image: https://s3.amazonaws.com/audreywatters/2016-08-28-goondocks.jpg imagecredits: https://www.flickr.com/photos/143298399@N03/29219919596/in/dateposted/ ---
Icon credits: The Noun Project


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A New Rise in Water Is Expected in Venice
Water levels are expected to rise to 150 centimeters in Venice today - a new peak at a critical level of 130 centimeters, TASS reported, citing authorities in the Italian city.
"The water level is expected to reach 150 cm by 11.20 (12.20 Bulgarian time)," a tweet said.
Venice Mayor Luigi Brugnaro urged residents and guests of the city not to go out if its not necessary. Water levels rose to 125 cm yesterday, BTA reported.
Italy's Civil Protection Service has announced the latest "red" climate threat in the Veneto region. There will be heavy thunderstorms in most of the country today. Schools in nearly 30 cities have been closed due to the expected new deterioration in weather.
Meteorologists have warned of snowfall in the Piedmont, Lombardy, Veneto and Trentino - Alto Adige regions. Up to 70 cm of snow cover is expected in places there.


Ancient lake in Mars’s Gale crater may have actually been a small pond
SPACE 6 August 2021
NASA/JPL-Caltech/University of Arizona
A purported ancient lake on Mars may have been far smaller than researchers thought. NASA’s Curiosity rover has been exploring Gale crater for more than eight years, and while early observations suggested the entire crater may once have been filled with water, a new analysis implies that it just had a series of ponds instead.
Previous analyses of data from Curiosity have relied heavily on a measure called the chemical index of alteration to determine how rocks were weathered over time. Joseph Michalski at the University of Hong Kong and his colleagues have suggested that because this measure was developed for use on Earth, it may not be valid in the extreme Martian climate.
Instead, they analysed the concentrations of various compounds that are expected to change based on different types of weathering over time. They found that some of the layers of rock Curiosity examined did interact with water at some point in their past, but more are likely to have formed outside of the water.
“Over hundreds of metres of strata, it seems that the only layers that are demonstrably lacustrine [formed in a lake] are the lower few metres,” says Michalski. “Of the rocks visited by the rover… the fraction that is demonstrably lacustrine is something like 1 per cent.”
These rocks were mostly in the lowest few metres of sediments in the crater, suggesting the lake was not nearly as deep or extensive as we thought. “There was likely a small lake or more likely a series of small lakes in the floor of Gale crater, but these were shallow ponds,” says Michalski.
The rocks that didn’t form in water appeared to be volcanic, so Michalski says that they may have formed out of ash from volcanic eruptions after the water in Gale crater had dried up. Observations by other Mars missions have hinted that these sediments were deposited by wind, not water, so this may solve that mismatch.
Journal reference: Science Advances, DOI: 10.1126/sciadv.abh2687
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More on these topics:


Thu Oct 31, 2019
Before we get into it, let’s take a moment to acknowledge that America’s nukes will no longer run on giant floppy disks. Should we feel safer, now that a nuclear apocalypse no longer depends on a computer introduced in 1976? Not necessarily.
The military needs to rewatch Battlestar Galactica. The major benefit of using archaic offline technology is that it can’t be hacked. Indeed, the Galactica’s ban on newer networked computers was a key defence against the Cylons.
But change is inevitable. Maintaining an old system becomes more burdensome than embracing the new. I’ll admit, I’m too obsessed with getting the latest and greatest. Which is why I’m a bit jarred when I come across people who cling to the old and familiar.
For example, Microsoft is ending support for Windows 7 at the end of this year, and oh boy, is it causing problems. I was casually asked by a Windows 7 stalwart how long it will keep working for. Another year? Another five years? Honestly, I didn’t know how to answer. At work, some of our customers in the fishing industry are so fed up with having to use Windows machines that they’re asking us to bring back analog tech from the early 90s.
I can’t say I blame anyone for wanting to stick with what works, but Microsoft should really make the Windows 10 upgrade free again if they want to convert the last stubborn holdouts.
Still, there’s a lesson for me to learn here - I need to pump the brakes because new isn’t always better. For instance, I’ve recently been bitten hard by Apple with their disastrously buggy iOS 13 and Catalina software updates.
It’s kind of ironic that my original iPad Air, which is stuck on iOS 12, was spared. And there I was bemoaning the fact that it is no longer supported.
My wife’s iPad Air 2 was not so fortunate. I updated it to iOS 13 and it promptly stopped connecting to WiFi. Thankfully, a factory reset did the trick, although she was miffed about having to remember her Facebook password after restoring from backup.
Anyway, the most grievous issue I have with iOS 13 is the rapid battery drain on my iPhone 6S. There are times when I’ve lost up to 70 percent in one hour. I can’t seem to pinpoint the problem because my phone is telling me that the Podcasts app is the main culprit, even though I have background updates turned off. Low Power Mode doesn’t seem to help much either.
I toyed with the idea of buying a battery case, but can’t stomach the thought of doubling the phone’s thickness. In the end, I’ve assuaged my battery anxiety by setting a daily reminder to plug it in every afternoon. Hardly ideal, but better than throwing money at a five-year old phone. Hopefully this problem will get addressed in a later update.
Speaking of battery anxiety, Apple’s annual hardware event in September brought us new iPhones with bigger, longer-lasting batteries (five hours more!). The bigger batteries increased the thickness of the phone, contrary to Jony Ive’s mission to make the iPhone thinner every year.
As I wrote about last time, Jony is no longer with the company. There were rumblings that the thicker phones was the reason Jony Ive left. Personally, I don’t think his obsession with thinness would actually push him to quit - that would be a mild over-reaction. But this reversal in design philosophy doesn’t quite seem accidental.
The new iPhones also come with three cameras - a wide, an ultra wide and a telephoto. The camera improvements honestly look awesome and this is the first time I’ve looked at my iPhone 6S shots and wept a little inside. Just look at the difference between the 6S and 11 in low-light photography (Apple’s so-called “Night Mode”). Also, the additional software processing Apple is calling “Deep Fusion” looks like a worthy response to Google’s dominance in this area.
Google’s retort to the iPhone this year was weighed more toward imitation than innovation. Their new Pixel phones also came with more cameras, face unlock, and other iPhone-like features.
In my opinion, some of that Google magic has been lost in the transition from Nexus to Pixel. When it came out in 2013, I was a big fan of Google’s inexpensive Nexus 5 (and still use it, actually), but these Pixel phones just aren’t appealing at all.
They’re just too expensive - the Pixel 4 is actually more pricey than the iPhone 11! And quite frankly (I can’t believe I’m saying this), Samsung’s phones have a far nicer design. Sure, there’s no notch or pinhole, but the giant “forehead” and small “chin” makes the Pixel 4 look top-heavy and so obviously asymmetrical that it just feels wrong, even if you don’t have the words to explain why.
Furthermore, the poor battery life and the curious omission of an ultra-wide camera lens (despite having the same ugly square bump as the iPhone 11) just invite negative comparisons with iPhone hardware.
Let’s be honest - if you’re willing to compromise on hardware and shell out the big bucks just to get that “pure” Android experience, you’ve got bigger problems in your life.
Notch watch
I can’t write a post and leave out my popular ongoing segment! Unfortunately, there isn’t much to report on the notch front at the moment. Just to be clear - notchless Android phones are technically already here (such as the OnePlus 7 Pro), but come with compromises.
The OnePlus 7 Pro, for example, isn’t water resistant because of its pop-up selfie camera. It’s also extremely large, heavy, and completely non pocketable. The under-display sensor tech we’ve seen in Chinese R&D labs is most intriguing, but hasn’t appeared on any commercial phones yet.
As far as 2020 iPhone rumours go, all we have to go on are analyst predictions, which are fairly useless at this early stage of the game. The latest prediction has a smaller notch for 2020 with notchless displays being pushed out to 2021. Bummer? I’m sure we’ll get more substantial leaks next year.
Before the leaves fell
Hey, this is a personal blog, so how about a personal update. September was a busy travelling month. First, we went to Edmonton for my brother-in-law’s wedding, then we headed off to Maui a week later for a two-week family vacation.
I’d never been to Edmonton before, and since we never even went downtown, I’m not sure I’ve actually been there yet. Perhaps Edmonton does not exist, as some believe.
Family events took up most of the trip, but we did manage to visit North America’s biggest mall. They have an indoor ocean and awesome water slides. I tried most of the slides - but not all (due to my heightened instinct of self-preservation). It was a fantastic monument to the 1980s oil boom.
What can I say about Edmonton? The water doesn’t taste as good as in BC, nor is the air as fresh. The evidence of an oil-based economy is in plain view as you drive down the highways and see the oil refineries on the horizon with all those little shiny lights. But the people seem nice enough and everybody drives really slowly compared to Vancouver. It was also nice to get away from all the flexing of the rich West Coast dudes in their flashy cars and multi-million dollar homes.
The wind seemed unusually cold for early September, but that’s to be expected. Clearly, I’m running out of things to say, so here’s the view from our hotel room:
You could surmise that Maui is the complete opposite of Edmonton and you wouldn’t be wrong. Although, if you hate rainbows and sea turtles, perhaps Maui isn’t the place for you. So many rainbows.
Seriously though, the weather, beaches, and laid-back atmosphere are hard to beat.
We hit up all the highlights - most of the beaches, the road to Hana, Haleakala National Park, snorkeling at Black Rock and Honolua Bay. We rented a surfboard for a week and tried to catch some waves (my wife has more success than I). We had dinner at a sugar plantation, marvelled at a group of giant sea turtles hanging out on the beach, and hiked through tropical jungle so evocative I couldn’t help wondering why there aren’t any monkeys in Hawaii.
If you’re into beach vacations and are within a five or six hour flight, I give Maui two thumbs up.
There are always downsides to paradise though. This is real life after all. Maui is very expensive, especially if your currency is weaker than the US Dollar (which our Canadian Dollar is). The kids’ college fund is paying for this trip!
Also, Maui’s popularity has increased over the years to the point where it is noticeably busy - even in the off-season. For example, twenty years ago, you’d probably only encounter one or two other cars on the road to Hana. Now, it’s a literal caravan of vehicles even on a weekday (and good luck finding a parking spot at any of the sights). And if you were hoping to catch the sunrise at the top of Haleakala, you can’t just show up anymore, like you could a few years ago. Now you have to reserve a spot months in advance.
I could go on about how selfie sticks and Instagram has ruined tourism, but I’m not trying to be a buzzkill here. I’ll leave you with this picture I took of the black-sand beach, a hard-won picture precisely because it is devoid of tourists:
Christmas shopping?
I can’t resist swinging back to tech before I sign off because It is that time of the year and a lot of cool new gadgets was announced in “techtober”. I just want to mention two hot new products that I wouldn’t hesitate to throw on my wish list.
Firstly, Apple’s AirPods Pro (weird-sounding pluralization, but it is grammatically correct). Although I can’t say I’ve even tried them, Apple’s regular AirPods have never impressed me. The fit seems a bit nebulous with some people saying they fall out really easily, while others have better luck. Also, the sound quality is on par with Apple’s EarPods, which is to say, not very good.
The Airpods Pro, however, are not only gratifyingly sophisticated (active noise cancellation, adaptive EQ, pressure equalization, transparency mode, etc.) but also have better sound quality. And more importantly, fit is no longer an issue - they come with different-sized silicone ear tips for all ear shapes.
They’re expensive, but actually worth the money now, whereas regular AirPods are not.
Secondly, remember when I said that I’d be all over a DJI drone under 250 grams that has a 12 MP camera? Well, DJI did it. The Mavic Mini is light enough (249 grams!) to avoid Transport Canada’s onerous legal requirements to register your drone and get a drone pilot certificate.
Also, it comes with a decent camera. I’d say the camera is on par with a smartphone camera, but that would be untrue because smartphone cameras have gotten so much better in the past two years. Still really good for a small drone though.
The thing is, I’ve sort of lost interest in getting a drone.  I just can’t stand it when a drone buzzes around me, and I just don’t want to be “that guy”. If I lived in a remote area, or hiked in the wilderness often, I would have bought one by now. But I live in the suburbs and there’s always families, dog walkers, retirees, or angry neighbours around who wouldn’t appreciate a mechanical mosquito buzzing around any more than I would.
However, I think the younger generations are going to be increasingly accepting of drones (and DJI is certainly marketing the Mavic Mini that way). If nothing else I’m impressed by the pace of drone technology. For example, the obstacle-avoidance AI being put into these things is incredible. I’m definitely keeping an eye on this space.


Hello Info Hub Participants!
We wanted to share with you some wonderful information sent to us by Blackboard Inc's Higher Education Account Executive, Scott Caplan, in regards to a few additional resources Bb is offering to everyone within CUNY. His full letter is below:
Good afternoon CUNY.
Now that each of your schools has transitioned from traditional and hybrid courses to 100% remote teaching, I wanted to check in and offer additional resources that may be of assistance.
Blackboard Academy and Training Resources – All Customers – These include free Blackboard Academy courses for transitioning to online, as well as a number of discounted and free training options for clients to help them train their staff for online delivery, convert courses to online, and train for the use of our tools, including Learn and Collaborate. Go into Blackboard Academy Catalog and select FREE COURSES from the type of courses on the left hand menu.
Accelerate Your Transition to Remote Instruction – All Customers – We’re also offering a free webinars training series for faculty,. These webinars cover the basics of Blackboard Learn, teaching a virtual class (using Blackboard Collaborate Ultra), building mobile content, and creating assessments and assignments in Blackboard Learn. In addition, Blackboard Academy is now offering courses in the Transitioning to Online Teaching Certificate at no cost to faculty.
https://www.blackboard.com/resources/accessibility-checklist – All Customers – We are addressing the need for solutions for accessibility and universal design in a fully online learning environment. We have created a free accessibility checklist for instructors to efficiently check and remediate their course content, and are launching additional resources to support students using mobile devices, assistive technologies, and study tools.
Integration of Microsoft Teams with Blackboard Learn – https://blog.blackboard.com/supporting-continuity-of-education-with-blackboard-learn-and-microsoft-teams/ Microsoft has created an application that allows instructors to create a Teams meeting and share that with their students. We've turned that application into an LTI Advantage tool that can be integrated with Learn. Our integration allows users to launch Microsoft Teams Meetings directly within any Learn course. https://help.blackboard.com/Learn/Administrator/SaaS/Integrations/Microsoft_Teams
community.blackboard.com/groups/home/99 – This is regularly updated by Blackboard and other Higher Education customers on how they are managing through this COVID-19 situation.
Blackboard is continuing to increase our capabilities to help you during these challenging times. If there is something that you need help with or would like to see Blackboard look into, please let me know.
Best Regards,
Scott Caplan Account Executive, Higher Education Blackboard Inc. C:<PHONE_NUMBER> / Scott.Caplan@blackboard.com


BREED: German Shepherd
AGE: 6 years
ABOUT ME: I am really energetic, love long walks and new places. Kids are all right but I can do without them. I prefer to be the center of your attention.
BREED: Pitador
AGE: 4 years
ABOUT ME: I am really shy but I wouldn’t mind going out with you on a long walk. I will make sure you get your daily dose of cuddles to show you how much I adore you.
BREED: Corgi
AGE: 3 years
ABOUT ME: I mean c’mon just look at me I am beautiful. I am extremely friendly and love kids. I will need you to play catch with me atleast once a day.
BREED: Cocker Spaniel
AGE: 9 years
ABOUT ME: I am loyal friend.I like playing frizbee.I prefer to be with adults. I also like to relax by watching TV on the sofa with my dog biscuits (the good kind don’t skimp).
 Also, no long walks please have you seen my little legs, they are not made for running.


| Included Services - Summary |
| Backend |
provides access to configuration data.
|
| Included Services - Details |
Backend
- Description
- provides access to configuration data.
|
|
| Exported Interfaces - Details |
XBackendEntities
- Description
- This interface, that is optional in Backend, is
mandatory in this service.
|
|
::com::sun::star::lang::XInitialization
- Usage Restrictions
- optional
- Description
- allows initializing the backend to use.
If this interface is present, a SingleBackend
may be passed, that is used to access the data.
Also a ::com::sun::star::configuration::bootstrap::BootstrapContext
can be passed, that provides further settings for the backend.
If this interface is missing, the real backend to use is determined
from the ::com::sun::star::uno::XComponentContext.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


|
Elektra
0.9.4
|
Logger Interface. More...
Enumerations | |
| enum | ElektraLogLevel { ELEKTRA_LOG_LEVEL_ERROR = 16, ELEKTRA_LOG_LEVEL_WARNING = 8, ELEKTRA_LOG_LEVEL_NOTICE = 4, ELEKTRA_LOG_LEVEL_INFO = 2, ELEKTRA_LOG_LEVEL_DEBUG = 1 } |
Logger Interface.
| enum ElektraLogLevel |
| Enumerator | |
|---|---|
| ELEKTRA_LOG_LEVEL_ERROR | assertion failed, will abort Should only be used by ELEKTRA_ASSERT, not by other code! |
| ELEKTRA_LOG_LEVEL_WARNING | something happened an end user would be interested in The action requested by the user failed in an unusual way, e.g. no memory. This level is especially for API misuse, something we want to report the user but otherwise could not (e.g. because we are not in kdb* context and cannot yield warnings/errors). |
| ELEKTRA_LOG_LEVEL_NOTICE | something important happened which usually should not Despite its name this level can be used for errors, failed activities and so on, if other plugins or similar might recover the error, the action will be retried, and/or the user will not notice or notice by warnings/errors/return value anyway. |
| ELEKTRA_LOG_LEVEL_INFO | The standard log level. Use it to report mentionable occurrences which do not flood the system too badly. They should be indicative for what the problem is in the most cases. |
| ELEKTRA_LOG_LEVEL_DEBUG | The debug log level. Can be used to log anything which was useful to debug the code. Is usually only turned on by the developer itself and you do not need consider the number of output it produces (expected to be used together with line-based suppressions in log.c). |


public enum FieldSelectorResult extends Enum < FieldSelectorResult >
| Enum Constant and Description |
|---|
LATENT
Lazily load this
Field
, but do not cache the result.
|
LAZY_LOAD
Lazily load this
Field
.
|
LOAD
|
LOAD_AND_BREAK
|
NO_LOAD
Do not load the
Field
.
|
SIZE
Expert: Load the size of this
Field
rather than its value.
|
SIZE_AND_BREAK
Expert: Like
SIZE
but immediately break from the field loading loop, i.e., stop loading further fields, after the size is loaded
|
| Modifier and Type | Method and Description |
|---|---|
static
FieldSelectorResult
|
valueOf
(
String
name)
Returns the enum constant of this type with the specified name.
|
static
FieldSelectorResult
[]
|
values
()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
public static final FieldSelectorResult LOAD
Field
every time the
Document
is loaded, reading in the data as it is encountered.
Document.getField(String)
and
Document.getFieldable(String)
should not return null.
Document.add(Fieldable)
should be called by the Reader.
public static final FieldSelectorResult LAZY_LOAD
Field
. This means the
Field
is valid, but it may not actually contain its data until
invoked.
Document.getField(String)
SHOULD NOT BE USED.
Document.getFieldable(String)
is safe to use and should
return a valid instance of a
Fieldable
.
Document.add(Fieldable)
should be called by the Reader.
public static final FieldSelectorResult NO_LOAD
Field
.
Document.getField(String)
and
Document.getFieldable(String)
should return null.
Document.add(Fieldable)
is not called.
Document.add(Fieldable)
should not be called by the Reader.
public static final FieldSelectorResult LOAD_AND_BREAK
LOAD
case, but immediately return from
Field
loading for the
Document
. Thus, the
Document may not have its complete set of Fields.
Document.getField(String)
and
Document.getFieldable(String)
should
both be valid for this
Field
Document.add(Fieldable)
should be called by the Reader.
public static final FieldSelectorResult SIZE
Field
rather than its value.
Size is measured as number of bytes required to store the field == bytes for a binary or any compressed value, and 2*chars for a String value.
The size is stored as a binary value, represented as an int in a byte[], with the higher order byte first in [0]
public static final FieldSelectorResult SIZE_AND_BREAK
SIZE
but immediately break from the field loading loop, i.e., stop loading further fields, after the size is loaded
public static final FieldSelectorResult LATENT
Field
, but do not cache the result. This means the
Field
is valid, but it may not actually contain its data until
invoked.
Document.getField(String)
SHOULD NOT BE USED.
Document.getFieldable(String)
is safe to use and should
return a valid instance of a
Fieldable
.
Document.add(Fieldable)
should be called by the Reader.
public static FieldSelectorResult [] values()
for (FieldSelectorResult c : FieldSelectorResult.values()) System.out.println(c);
public static FieldSelectorResult valueOf( String name)
name
- the name of the enum constant to be returned.
IllegalArgumentException
- if this enum type has no constant
with the specified name
NullPointerException
- if the argument is null