Overview
Package
Class
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
T
tearDown()
- Method in class BSCcore.
TestCore
tearDownClass()
- Static method in class BSCcore.
TestCore
testAdd()
- Method in class BSCcore.
BSCModelTest
Test of the add method.
testBadSyntaxLoadFile()
- Method in class BSCcore.
FileBSCModelTest
Tests loading a file with bad RDF syntax and verifies that the expected exception is thrown.
testBadUTF8LoadFile()
- Method in class BSCcore.
FileBSCModelTest
Tests loading a file with invalid UTF-8 data.
TestCore
- Class in
BSCcore
TestCore()
- Constructor for class BSCcore.
TestCore
testDescribeQuery()
- Method in class BSCcore.
BSCModelTest
Test of the describeQuery method.
testEquals()
- Method in class BSCcore.
BSCObjectTest
Test of equals method of class BSCObject.
testGetBSCObject()
- Method in class BSCcore.
BSCModelTest
Test of the getBSCObject method.
testGetChildren()
- Method in class BSCcore.
BSCObjectTest
Test of getChildren method of class BSCObject.
testGetDescendents()
- Method in class BSCcore.
BSCObjectTest
Test of getDescendants method of class BSCObject.
testGetInstance()
- Method in class BSCcore.
SettingsManagerTest
Test of getInstance method, of class SettingsManager.
testGetParent()
- Method in class BSCcore.
BSCObjectTest
Test of getParent method of class BSCObject.
testGetParents()
- Method in class BSCcore.
BSCObjectTest
Test of getParents method of class BSCObject.
testGetProperties()
- Method in class BSCcore.
BSCObjectTest
Tests the property lookup methods of BSCObject.
testGetPropertiesFile()
- Method in class BSCcore.
SettingsManagerTest
Test of getPropertiesFile method, of class SettingsManager.
testGetRelatives()
- Method in class BSCcore.
BSCObjectTest
Test of getRelatives method of class BSCObject.
testGetSiblings()
- Method in class BSCcore.
BSCObjectTest
Test of getSiblingsAsModel method of class BSCObject.
testGetURI()
- Method in class BSCcore.
BSCObjectTest
Test of getURI method of class BSCObject.
testHasChildren()
- Method in class BSCcore.
BSCObjectTest
Test of hasChildren method of class BSCObject.
testHashCode()
- Method in class BSCcore.
BSCObjectTest
Test of hashCode method of class BSCObject.
testHasParents()
- Method in class BSCcore.
BSCObjectTest
Test of hasParents method of class BSCObject.
testIsLiteral()
- Method in class BSCcore.
BSCObjectTest
Test of isLiteral method of class BSCObject.
testLoadFile()
- Method in class BSCcore.
FileBSCModelTest
Test of loadFile method.
testNoFileLoadFile()
- Method in class BSCcore.
FileBSCModelTest
Tests loading a non-existent file and verifies that the expected exception is thrown.
testRetrieveValue()
- Method in class BSCcore.
SettingsManagerTest
Test of loadProperties and retrieveValue methods.
testSelectQuery()
- Method in class BSCcore.
BSCModelTest
Test of the selectQuery method.
testSetPropertiesFile()
- Method in class BSCcore.
SettingsManagerTest
Test of setPropertiesFile method, of class SettingsManager.
testSharedProperties()
- Method in class BSCcore.
SharedPropertiesTest
Test of the SharedProperties class.
testSharedPropertiesFactory()
- Method in class BSCcore.
SharedPropertiesTest
Test of SharedPropertiesFactory.
testToString()
- Method in class BSCcore.
BSCObjectTest
Test of toString method of class BSCObject.
testVisitAncestors()
- Method in class BSCcore.
BSCObjectTest
Test of visitAncestors method of class BSCObject.
testVisitDescendents()
- Method in class BSCcore.
BSCObjectTest
Test of visitDescendents method of class BSCObject.
TestVisitor
- Class in
BSCcore
A class that implements the ModelVisitor interface, intended for use in writing/running unit tests for the BSCCore code.
TestVisitor()
- Constructor for class BSCcore.
TestVisitor
TestVisitor(int)
- Constructor for class BSCcore.
TestVisitor
TextRenderer
- Class in
Render
A superclass for rendering BiSciCol data into text-based formats.
TextRenderer()
- Constructor for class Render.
TextRenderer
TextRenderer(int)
- Constructor for class Render.
TextRenderer
TextTreeRenderer
- Class in
Render
TextTreeRenderer()
- Constructor for class Render.
TextTreeRenderer
TextTreeRenderer(int)
- Constructor for class Render.
TextTreeRenderer
toString()
- Method in class BSCcore.
BSCObject
Get a text representation of the URI of this object.
toString()
- Method in class BSCcore.
QueryResult
toString()
- Method in class BSCcore.
RDFStatement
triplestore
- Variable in class Loading.
LoadProperties
Overview
Package
Class
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X


LETTER: On the infamous quid pro quo
by David Dandrea HendersonQuid pro quo defined is “a favor or advantage granted or expected in return for something.”
Try this one. Democrats to whistleblower: Give us testimony against the evil President Donald Trump, and we will set up a GoFundMe account for you worth hundreds of thousands of dollars. Well, so far it has $227,000.
Check it out.
If you are a true Trump hater, those who do not send money to the poor whistleblower are Trump enablers. Christine Blasey Ford worked this scam to the tune of $850,000.
Go ahead. Send a few bucks for the cause. Be a true patriot.


This requires a good browser, like Google Chrome, or Firefox.
First, your browser needs to have a variation of Greasemonkey.
Click on the browser below to download the extension.
Next, download and install the plug.dj playlist exporter userscript.
Once installed, go to your favorite plug.dj room.
If you're already in one, just reload the page for the script to take effect.
When the room loads, type in /pexport
into the chat.
Once your file has saved, you can finally go back to the exporter, and input the saved PLUG_PLAYLISTS.json
file.


An attractive, bustling town on the southern shore of the island of the same name. It is separated from the Peloponnese mainland by a narrow channel. It has an attractive old town above the harbour.
Position 37°30' N, 023°26.6' E.
Poros Harbour provides excellent year round shelter but there is an almost constant wash caused by the traffic of large and small ferries. The town is built on a small peninsula surrounded by a quay. Visiting yachts use the North Quay while the South Quay is used by the ferries and resident flotilla.
A pontoon extending at right angles from the quayside and the renovated quay now allows much more space for visiting boats than previously.
Anchor at 10m and come stern-to the quay but allow long stern lines to protect the boat from the swells caused by the wakes. The bottom is mud and provides very good holding. The harbour can be quite crowded an there is always a good chance that your anchor will be fouled by another boat so be prepared for this during departure.
Warning - be aware of the wake of the constant coming and going at high speed of the ferries. Leave as much distance between your stern and the concrete quay as possible. It is very shallow in the channel between the island and the mainland - keep to the island side.
Good anchorages nearby at Monastery Bay and Russian Bay.
Last updated April 2013.


Tag cloud
- brain_decoding
- word2vec
- dependency_based_word_embedding
- distibutional_semantics
- cognitive_plausibility
- lstm
- question_answering
- incremental_reading
- early_stopping
- capsule_networks
- transformer
- attention
- dynamic_routing
- representational_similarity_analysis
- representational_stability_analysis
- self_attention
- attention_visualisation
- attention_rollout
- attention_flow
- bert
- subject_verb_agreement
- language_modelling
- rnn
- recurrent
- inductive_bias
- universal_transformer
- multi_dimensional_scaling
- neural_networks
- knowledge_distillation
- recurrent_inductive_bias
- cnn
- translation_equivariance
- mnist


Create a Resource Group
A resource group defines the resources that will be made available to a user. Every resource added to IBM Spectrum Protect Plus can be included in a resource group, along with individual IBM Spectrum Protect Plus functions and screens. This gives you the ability to finely-tune the experience of a user. For example, a resource group could include an individual hypervisor, with access to only backup and reporting functionality. When the resource group is associated with a role and a user, the user will only see the screens associated with backup and reporting for the assigned hypervisor.
Create a resource group:
- From the navigation menu, expand Accounts, then click Resource Groups.
- Click Create resource group. The Create resource group pane displays.
- In the Name of the new resource group field, enter a name.
- From the I would like to create a resource group drop-down menu, select a creation method. Available options include New and From template.
- New - Select a resource type from the Choose a resource type drop-down menu. Select resource subtypes, then click Add Resources. Resources are added to the Selected Resources view.
- From template - Select an existing resource group from the Which resource group would you like to use as a template? drop-down menu. Resources from the selected template are added to the Selected Resources view. Additional resources can be added through the Choose a resource type and subtype drop-down menus, or deleted from the Selected Resources view by clicking the resource's associated delete icon.
- To view available resource groups and their usage, see Resource Group Types.
- Continue adding resources to the resource group. Once complete, click Create Resource Group. The resource group appears in the Resource Group table and can be associated with new and existing user accounts.
Next, create roles to define the actions that can be performed by the user of an account associated with a resource group. Roles are used to define permissions to interact with the resources defined in the resource group. See Create a Role.
IBM Spectrum Protect Plus 10.1.2
Licensed Material - Property of IBM Corp. © IBM Corporation and other(s) 2018. IBM is a registered trademark of the IBM Corporation in the United States, other countries, or both. | 8/23/2018


Menu
Help
Customization
Invite Code:
Copy
Invite code copied to clipboard!
Change Display Name:
Reset Table
Exit Menu
Apply
Game Controls
Camera
Zoom In - Mouse Scroll Up
Zoom Out - Mouse Scroll Down
Pan - Hold Middle Button + Move Mouse
Card
Drag Card - Hold Left Click on Card
Flip Card - Hover Mouse Over Card + F
Shuffle - Hover Mouse Over Cards + R
Exit Help
Send


WITNESS LIST State Affairs Committee January 22, 2001 - 1:00P SB 183 FOR: Sanders, Larry (Atlas ICBM Historical Society), Abilene, TX ON: Lopez, Carlos (TxDOT), Austin, TX SB 188 Registering, but not testifying: For: Cain, Randy (Texas Fire Chiefs Association), Austin, TX Melina Raab, Ted (Texas State Employees Union/CWA 6186), Austin, TX On: Perkins, Kathryn (Texas Department of Health), Austin, TX SCR 2 FOR: Adams, Mike (Texas Pecan Board), Henderson, TX


University of Jos, Jos
B.sc-Ed
Chemistry Education
January 2012-April 2016
Saint Louis College Jos, Jos
WAEC
West African Examination council
October 2005-July 2011
Fatima Private School, Pankshin Plateau State
First school leaving certificate
September 1999-July 2005


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Heat 25g/1oz of the butter in a large frying pan.
Season the steaks with salt and freshly ground black pepper, then place into the hot pan to fry for one minute on each side. Remove the steaks from the pan and keep warm.
Reduce the heat and add the remaining 25g/1oz of butter to the frying pan with the shallots and cook over a gentle heat for eight minutes, until the shallots have softened.
Add the Dijon mustard and Worcestershire sauce to the pan and stir well.
Add the red wine and stock and bring to the boil. Boil until reduced by one-third.
Add the brandy and carefully set light to it to burn off the alcohol. Allow the flames to subside, then add the cream and boil over a high heat for about three minutes, until the sauce is the thickness of single cream.
Fold in the parsley and season, to taste, with salt and freshly ground black pepper.
Return the steaks to the pan and warm through but do not boil.
Place the steaks on a warmed plate, top with the sauce and serve with French fries and buttered peas.


Click here to download this week's dataset as a CSV
Click here to download this week's dataset as a Hyper Extract
Man, I love Lego.
I assume most nerds do. These magical colored blocks have entertained and educated for generations. Few brands can boast the extreme levels of recognition and loyalty as Lego, and with good reason. The toys are colorful, creative, and subject to truly ludicrous levels of QA and engineering. This should be good.
Historical Background
Founded in 1932, The Lego Company employees close to 20,000 people in 42 offices and factories around the world, and holds over 600 US design patents, focused primarily on their deceptively simple plastic building bricks. Those bricks are the focus of our dataset today, a database of sets and pieces compiled by Rebrickable, a site devoted to the toys. The data goes back to 1950, almost the start of the company.
This data represents only one way to look at the bricks; those of you feeling particularly motivated might try combining this data with set price data , but I'll just be looking at this dataset for now.
Data Source
This week's dataset comes from Rebrickable.com.


Interdependence Verification
Tech Debit Verification
Resouce Usage Verification
Availability Verification
Response Time Verification
Unit Test Coverage Verification
Ranking
Multiple Criteria


Modules | |
| Precision types | |
| Non-GLSL types that are used to define precision-based types. | |
Typedefs | |
| typedef highp_mat2x2 | glm::mat2x2 |
| typedef highp_mat2x3 | glm::mat2x3 |
| typedef highp_mat2x4 | glm::mat2x4 |
| typedef highp_mat3x2 | glm::mat3x2 |
| typedef highp_mat3x3 | glm::mat3x3 |
| typedef highp_mat3x4 | glm::mat3x4 |
| typedef highp_mat4x2 | glm::mat4x2 |
| typedef highp_mat4x3 | glm::mat4x3 |
| typedef highp_mat4x4 | glm::mat4x4 |
| typedef mat2x2 | glm::mat2 |
| typedef mat3x3 | glm::mat3 |
| typedef mat4x4 | glm::mat4 |
| typedef highp_dmat2x2 | glm::dmat2 |
| typedef highp_dmat3x3 | glm::dmat3 |
| typedef highp_dmat4x4 | glm::dmat4 |
| typedef highp_dmat2x2 | glm::dmat2x2 |
| typedef highp_dmat2x3 | glm::dmat2x3 |
| typedef highp_dmat2x4 | glm::dmat2x4 |
| typedef highp_dmat3x2 | glm::dmat3x2 |
| typedef highp_dmat3x3 | glm::dmat3x3 |
| typedef highp_dmat3x4 | glm::dmat3x4 |
| typedef highp_dmat4x2 | glm::dmat4x2 |
| typedef highp_dmat4x3 | glm::dmat4x3 |
| typedef highp_dmat4x4 | glm::dmat4x4 |
| typedef highp_vec2 | glm::vec2 |
| typedef highp_vec3 | glm::vec3 |
| typedef highp_vec4 | glm::vec4 |
| typedef highp_dvec2 | glm::dvec2 |
| typedef highp_dvec3 | glm::dvec3 |
| typedef highp_dvec4 | glm::dvec4 |
| typedef highp_ivec2 | glm::ivec2 |
| typedef highp_ivec3 | glm::ivec3 |
| typedef highp_ivec4 | glm::ivec4 |
| typedef highp_uvec2 | glm::uvec2 |
| typedef highp_uvec3 | glm::uvec3 |
| typedef highp_uvec4 | glm::uvec4 |
| typedef highp_bvec2 | glm::bvec2 |
| typedef highp_bvec3 | glm::bvec3 |
| typedef highp_bvec4 | glm::bvec4 |
These types are all typedefs of more generalized, template types. To see the definiton of these template types, go to Template types.
| typedef highp_bvec2 glm::bvec2 |
| typedef highp_bvec3 glm::bvec3 |
| typedef highp_bvec4 glm::bvec4 |
| typedef highp_dmat2x2 glm::dmat2 |
2 * 2 matrix of double-precision floating-point numbers.
Definition at line 733 of file type_mat.hpp.
| typedef highp_dmat2x2 glm::dmat2x2 |
2 * 2 matrix of double-precision floating-point numbers.
Definition at line 748 of file type_mat.hpp.
| typedef highp_dmat2x3 glm::dmat2x3 |
2 * 3 matrix of double-precision floating-point numbers.
Definition at line 753 of file type_mat.hpp.
| typedef highp_dmat2x4 glm::dmat2x4 |
2 * 4 matrix of double-precision floating-point numbers.
Definition at line 758 of file type_mat.hpp.
| typedef highp_dmat3x3 glm::dmat3 |
3 * 3 matrix of double-precision floating-point numbers.
Definition at line 738 of file type_mat.hpp.
| typedef highp_dmat3x2 glm::dmat3x2 |
3 * 2 matrix of double-precision floating-point numbers.
Definition at line 763 of file type_mat.hpp.
| typedef highp_dmat3x3 glm::dmat3x3 |
3 * 3 matrix of double-precision floating-point numbers.
Definition at line 768 of file type_mat.hpp.
| typedef highp_dmat3x4 glm::dmat3x4 |
3 * 4 matrix of double-precision floating-point numbers.
Definition at line 773 of file type_mat.hpp.
| typedef highp_dmat4x4 glm::dmat4 |
4 * 4 matrix of double-precision floating-point numbers.
Definition at line 743 of file type_mat.hpp.
| typedef highp_dmat4x2 glm::dmat4x2 |
4 * 2 matrix of double-precision floating-point numbers.
Definition at line 778 of file type_mat.hpp.
| typedef highp_dmat4x3 glm::dmat4x3 |
4 * 3 matrix of double-precision floating-point numbers.
Definition at line 783 of file type_mat.hpp.
| typedef highp_dmat4x4 glm::dmat4x4 |
4 * 4 matrix of double-precision floating-point numbers.
Definition at line 788 of file type_mat.hpp.
| typedef highp_dvec2 glm::dvec2 |
2 components vector of double-precision floating-point numbers.
Definition at line 416 of file type_vec.hpp.
| typedef highp_dvec3 glm::dvec3 |
3 components vector of double-precision floating-point numbers.
Definition at line 421 of file type_vec.hpp.
| typedef highp_dvec4 glm::dvec4 |
4 components vector of double-precision floating-point numbers.
Definition at line 426 of file type_vec.hpp.
| typedef highp_ivec2 glm::ivec2 |
| typedef highp_ivec3 glm::ivec3 |
| typedef highp_ivec4 glm::ivec4 |
| typedef mat2x2 glm::mat2 |
2 columns of 2 components matrix of floating-point numbers.
Definition at line 432 of file type_mat.hpp.
| typedef highp_mat2x2 glm::mat2x2 |
2 columns of 2 components matrix of floating-point numbers.
Definition at line 385 of file type_mat.hpp.
| typedef highp_mat2x3 glm::mat2x3 |
2 columns of 3 components matrix of floating-point numbers.
Definition at line 390 of file type_mat.hpp.
| typedef highp_mat2x4 glm::mat2x4 |
2 columns of 4 components matrix of floating-point numbers.
Definition at line 395 of file type_mat.hpp.
| typedef mat3x3 glm::mat3 |
3 columns of 3 components matrix of floating-point numbers.
Definition at line 437 of file type_mat.hpp.
| typedef highp_mat3x2 glm::mat3x2 |
3 columns of 2 components matrix of floating-point numbers.
Definition at line 400 of file type_mat.hpp.
| typedef highp_mat3x3 glm::mat3x3 |
3 columns of 3 components matrix of floating-point numbers.
Definition at line 405 of file type_mat.hpp.
| typedef highp_mat3x4 glm::mat3x4 |
3 columns of 4 components matrix of floating-point numbers.
Definition at line 410 of file type_mat.hpp.
| typedef mat4x4 glm::mat4 |
4 columns of 4 components matrix of floating-point numbers.
Definition at line 442 of file type_mat.hpp.
| typedef highp_mat4x2 glm::mat4x2 |
4 columns of 2 components matrix of floating-point numbers.
Definition at line 415 of file type_mat.hpp.
| typedef highp_mat4x3 glm::mat4x3 |
4 columns of 3 components matrix of floating-point numbers.
Definition at line 420 of file type_mat.hpp.
| typedef highp_mat4x4 glm::mat4x4 |
4 columns of 4 components matrix of floating-point numbers.
Definition at line 425 of file type_mat.hpp.
| typedef highp_uvec2 glm::uvec2 |
| typedef highp_uvec3 glm::uvec3 |
| typedef highp_uvec4 glm::uvec4 |
| typedef highp_vec2 glm::vec2 |
| typedef highp_vec3 glm::vec3 |
| typedef highp_vec4 glm::vec4 |


- Arsenal
- Roboto Slab
- Space Mono
Roboto Slab
Glyph
Aa
Characters
ABCĆČDĐEFGHIJKLMNOPQRSŠTUVWXYZŽabcčćdđefghijklmnopqrsštuvwxyzžАБВГҐДЂЕЁЄЖЗЅИІЇЙЈКЛЉМНЊОПРСТЋУЎФХЦЧЏШЩЪЫЬЭЮЯабвгґдђеёєжзѕиіїйјклљмнњопрстћуўфхцчџшщъыьэюяĂÂÊÔƠƯăâêôơư1234567890‘?’“!”(%)[#]{@}/&<-+÷×=>®©$€£¥¢:;,.*
Designer
Google Man
Lead Designer
Styles
Regular
Regular Italic
Bold
Bold Italic
About
The infamous Roboto, now in Slab form. No, not 'slav', Roboto isn't now wearing an aqua blue tracksuit openly consuming litres of Vodka trying desperately to forget the brutalist stuctures surrounding it.


The context of my M.Sc Thesis was the energy storage, one of the major thematic of research at the time. There is different types of systems and devices to store energy, such as the batteries and capacitors. These devices can be sorted by their power and energy, as shown on the graph below. Supercapacitors are systems in between batteries and conventional capacitors, which can store a lot of energy and charge and discharge it in a short time, typically about one second. To create supercapacitors, electrodes with an important stability through the cycles are required, with high energy and power densities.
These devices can store energy through two types of processes: through oxidation and reduction reactions (Faradic process), or through adsorption and desorption of the charges (non-Faradic process).
In this project, to create electrodes, we realised layer-by-layer depositions by making alternative depositions of different products. Different interactions are investigated to stabilize the products on the electrodes: electrostatic forces, pi-pi stacking, Van der Waals forces, etc. Layer-by-layer deposition can be made using several methods:
For building supercapacitors, several types of products were investigated: polyelectrolytes, electrically charged polymers which are the basis of the layer-by-layer method, graphene, and iron oxide nanoparticles, namely magnetite. Different combinations of the different types of products were tried and compared on their structural and electrochemical properties, such as the surface roughness, the thickness of the layers, the conductivity, or the stability through the cycle of charges and discharges. The different types of layer-by-layer constructions were also compared.
This project was supervised by Dr. Fouzia Boulmedais from the Institut Charles Sadron (CNRS, Universite de Strasbourg, FR).


GRACE OF MY HEART A film review by Scott Renshaw Copyright 1996 Scott Renshaw
(Gramercy) Starring: Illeana Douglas, John Turturro, Matt Dillon, Eric Stoltz, Bruce Davison, Patsy Kensit, Jennifer Leigh Warren. Screenplay: Allison Anders. Producers: Ruth Charny, Daniel Hassid. Director: Allison Anders. Running Time: 115 minutes.
I have this idea that what happened to GRACE OF MY HEART -- a good movie which flirts with being a great one -- is that Allison Anders wrote herself into a corner. She created a story based in part on a pattern of behavior, resulting in a structure which becomes repetitious; she has also made a period piece filled with thinly disguised counterparts for music industry figures of the 50s and 60s, resulting in a guessing game which becomes distracting. GRACE OF MY HEART has a superb character study at its core, made even more appealing by the top-notch work of Illeana Douglas, and that makes it a disappointment that Allison Anders has surrounded that character with so many elements which draw attention away from her.
GRACE OF MY HEART opens in 1958, where Edna Buxton (Douglas), a well-heeled young woman from Philadelphia, dreams of being a singer and songwriter. She thinks that she is headed for the big time after winning a talent contest, but she finds the going tough in New York until she is offered an opportunity by producer Joel Milner (John Turturro) to write singles for other artists. Though she wants to sing her own material, she agrees to Joel's terms as a way into the industry, and even to his suggestion that she change her name to Denise Waverly. The newly christened Denise begins to churn out the hits in the legendary Brill Building, and soon gets involved with another one of Joel's writers, Howard Caszatt (Eric Stoltz). The relationship is as uneven as her professional success, however, and Denise finds herself on a decade long journey of discovery culminating in a marriage to surf music legend Jay Phillips (Matt Dillon).
On one level, GRACE OF MY HEART operates simply as a travelogue through an era in American popular music, and there are some extremely entertaining moments integrated into that travelogue. Denise clearly is modeled after Carol King, and it is interesting to note that her inability to break in initially as a singer was based largely on the prevailing notion that female vocalists were "out." There is also a hilarious bit involving Bridget Fonda as a Lesley Gore-type singer whose unconventional lifestyle inspires Denise and her partner Cheryl (Patsy Kensit) to write her a song about a "secret love;" the songs -- originals by Los Lobos, David Baerwald and Elvis Costello, among others -- are generally true to the period, making for a rich background of sound. Yet there are moments when the setting and the inspired-by characters feel forced. Anders draws too much attention to supporting players by asking you to chuckle at what she is able to suggest about Gore, Phil Spector and others without actually saying so, and it becomes a tail which wags the dog.
That is particularly true where Matt Dillon's character is concerned, a disturbed genius a la Beach Boy Brian Wilson. Dillon's performance is too sleepy to be involving even as Jay becomes more and more paranoid and depressed, and we are left to watch him play the way Wilson might have been without understanding why we should care. It is a long, patience-testing episode, and it is particularly frustrating coming at the tail end of a string of relationship episodes in which Denise falls hard for a guy who turns out to be more trouble than he is worth.
Still, I was generally willing to indulge Anders, because I could see where it all was leading.  GRACE OF MY HEART is a film about the struggle for a woman to find her own voice after being conditioned to believe that it is more important for her to subsume her own desires and talent to the desires of the men in her life. It is sometimes aggravating to watch Edna/Denise make the same mistake over and over, but that is exactly the problem she is forced to come to terms with and it pays off in impassioned moments when she finally does let her own feelings soar (notably in her songs, with vocal provided by Kristen Vigard). Illeana Douglas is fantastic as a woman who is both strong and weak, and her unique looks somehow make her even more believable as someone forced to linger in the background longer than her talent warrants. I wanted to stick with her through her story, and it remained worth the effort even after Anders gets sidetracked. GRACE OF MY HEART is a film with built-in flaws, but they can be overlooked for a chance to watch a woman find the grace in her own heart.
On the Renshaw scale of 0 to 10 amazing graces: 7.
Receive Scott Renshaw's reviews directly via email from Marquee! Visit http://www.marquee.com/marquee-mailinglists.html for details. Visit Scott Renshaw's MoviePage http://www-leland.stanford.edu/~srenshaw
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


A B C D E F G H I M N O P R S T U V W X Y
S
- scale - Variable in class se.liu.ida.paperio.Board
- scale - Variable in class se.liu.ida.paperio.Painter
- ScheduleTask() - Constructor for class se.liu.ida.paperio.Board.ScheduleTask
- se.liu.ida.paperio - package se.liu.ida.paperio
- setAlive(Boolean) - Method in class se.liu.ida.paperio.Player
-
Set alive state of player
- setContestedOwner(Player) - Method in class se.liu.ida.paperio.Tile
-
Sets a player as contestant to Tile
- setCurrentTile(Tile) - Method in class se.liu.ida.paperio.Player
-
Set tile to be current tile
- setDraw(boolean) - Method in class se.liu.ida.paperio.Painter
-
Sets whether painter should draw or not
- setNextKey(int) - Method in class se.liu.ida.paperio.HumanPlayer
-
Set key to change dx and dy in next tick
- setOwner(Player) - Method in class se.liu.ida.paperio.Tile
-
Sets owner to owner of tile and removes current owner and contested owner
- setPaused(Boolean) - Method in class se.liu.ida.paperio.Board
-
Set board to paused mode, meaning logic and graphics are not updated
- setState(PaperIO.STATE) - Method in class se.liu.ida.paperio.PaperIO
-
Sets game state to specified state
- setTileContested(Tile) - Method in class se.liu.ida.paperio.Player
-
Add tile to players list of contested tiles
- setTileOwned(Tile) - Method in class se.liu.ida.paperio.Player
-
Add tile to players list of owned tiles
- specifyKeyActions() - Method in class se.liu.ida.paperio.Board
-
Specifies necessary key bindings and key actions for game
- startingArea(Player) - Method in class se.liu.ida.paperio.Board
-
Marks all tiles in the starting area of a player to owned by player
- STATE() - Constructor for enum se.liu.ida.paperio.PaperIO.STATE


WAMP with AutobahnJS and AutobahnPython
Run server.py (found in the same folder), open up the web inspector to the JS console, and reload this page.


Please be advised that we will be performing database maintenance today.
PPS Push Web Service will be unavailable during this time.
We appreciate your patience, and apologize for any inconvenience this may cause.


Transactions - ndau API¶
Transactions are submitted to and retrieved from the ndau blockchain through the ndau API: all transaction input and output data is in JSON format. When a transaction is committed a unique transaction hash is generated for it, and that hash can be used to query the API for the details of that transaction.
Data Types¶
| Data Type | Description |
|---|---|
| string | A string |
| int | An integer (in base 10) |
| duration | A period of time in microseconds (10-6 seconds) |
| napu | A quantity of ndau in napu (10-8 ndau) |
| nanocent | A quantity of USD in nanocents (10-11 US Dollars) |
| address | An account address in ndau text format |
| publickey | A secp256k1 or ed25519 public key in ndau text format |
| signature | A secp256k1 or ed25519 signature in ndau text format |
Some JSON fields are lists of parameters and are indicated with a []
prefix (such as []signatures
). Fields specified as
lists must always be represented as lists even if they hold only a single value. Multiple values in a list are separated by commas.
To avoid rounding and precision errors created by different client environment, all ndau values are expressed as integers. There are never any floating point values in ndau transactions.
Submitting transactions¶
Each transaction is submitted in JSON format using the “json” fields shown below for each transaction. These names are longer and more descriptive than the compact format stored on the blockchain. Transactions may be prevalidated using the /tx/prevalidate/:txname
endpoint before being submitted. Prevalidation ensures the transaction is valid and is properly signed, and it returns the transaction’s hash and any fees that will be charged for it when it is submitted. Any errors are indicated by an error code and a descriptive message. A valid transaction is submitted to the API with the /tx/submit/:txname
endpoint.
Querying transactions¶
Transaction details can be retrieved by specifying the unique hash returned by the API when the transaction was submitted. Each transaction type returns a unique set of fields. In the descriptions below, the “msg” fields are the labels used for each field in the returned JSON. The transaction type is identified by the TransactableID
field: these are the ID values associated with each transaction type.
1 Transfer
2 ChangeValidation
3 ReleaseFromEndowment
4 ChangeRecoursePeriod
5 Delegate
6 CreditEAI
7 Lock
8 Notify
9 SetRewardsDestination
10 SetValidation
11 Stake
12 RegisterNode
13 NominateNodeReward
14 ClaimNodeReward
15 TransferAndLock
16 CommandValidatorChange
18 UnregisterNode
19 Unstake
20 Issue
21 CreateChildAccount
22 RecordPrice
23 SetSysvar
24 SetStakeRules
25 RecordEndowmentNAV
26 ResolveStake
30 ChangeSchema
Mainnet and Testnet¶
The ndau mainnet and testnet are accessible to the public. Each node on each network is identified with a unique numeric ID (given as “0” here):
Mainnet: https://mainnet-0.ndau.tech:3030
Testnet: https://testnet-0.ndau.tech:3030
The ndau API is available on all nodes in either network.
Each transaction type returns a unique set of information. In the descriptions below, the “msg” fields are the labels used in the returned JSON
to identify each parameter. The “json” fields are the labels used for each parameter in the JSON input to the
/tx/submit
and /tx/prevalidate
endpoints.
Examples¶
Submittal¶
A transaction is submitted with an HTTP POST to /tx/submit/:txtype
where :txtype
is the name of the transaction type from the table above. The transaction JSON is submitted as described below. This example transfers 10 ndau from one account to another.
URL: https://mainnet-0.ndau.tech:3030/tx/submit/transfer
JSON:
{
"source": "ndak9vpyz58fjpa4kg6gei3p9nch8jbf9iyszhg8mw8ump7q",
"destination": "ndam5m7qpznkbczn8ewc39iqdd32gama785jkkrp3nxy9jre",
"qty":<PHONE_NUMBER>,
"seq": 203,
"signatures": ["ayjaftcggbcaeib6ehzcwu7t85svchaj5kp6xhu5vmhrky25z7jfcwni3thp2evrrebcaz3vv5pn5hwtm5puecfj6w5s74iy64mji4wmawzefwxp5qbew9yjs56aqieb"]
}
Returns:
{
"fee_napu": 1000000,
"sib_napu": 0,
"err": "Err and ErrCode are only set if an error occurred",
"hash": "pAe0XAfcuiMwFlC4EQ8ftg",
"msg": "only set if additional information is available",
"code": 0
}
Query¶
A transaction query returns complete information about the transaction and information about the block on the ndau blockchain in which it is found. The transaction-specific information is in the TransactableID
and Transactable
fields. For example, using the transaction hash returned from the above transfer submittal:
URL: https://mainnet-0.ndau.tech:3030/transaction/pAe0XAfcuiMwFlC4EQ8ftg
Returns:
{
"BlockHeight": 13919,
"TxOffset": 0,
"Tx": {
"Nonce": "arqilpepEempMQJCrBEAAg==",
"TransactableID": 1,
"Transactable": {
"src": ["ndak9vpyz58fjpa4kg6gei3p9nch8jbf9iyszhg8mw8ump7q"],
"dst": ["ndam5m7qpznkbczn8ewc39iqdd32gama785jkkrp3nxy9jre"],
"qty":<PHONE_NUMBER>,
"seq": 203,
"sig": [[2, "MEQCIDwh7ipLsfbhMRwJ2pvKnluazvVbG79SUVGIzE7cEm95AiBfM57azZ6RXtsiCKnlNw7pFuaWlGqLBS5C0q3bgkp+yQ=="]]
}
}
}
Because TxOffset is 0, the transaction is the first transaction in block 13919 on the ndau blockchain. TransactableID
is 1
, so it is a Transfer
transaction.
Account management transactions¶
Transfer¶
Transfers ndau from one account to another. The source account must be unlocked and have a sufficient available balance to pay for the transfer and any fees. The destination account may be locked or unlocked but may not be in its unlock countdown period.
{
Source address `msg:"src" json:"source"`,
Destination address `msg:"dst" json:"destination"`,
Qty napu `msg:"qty" json:"qty"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
SetValidation¶
Establishes the initial validation rules (script and keys) for an account. This transaction is signed with the account’s ownership key.
{
Target address `msg:"tgt" json:"target"`,
Ownership publickey `msg:"own" json:"ownership"`,
ValidationKeys []publickey `msg:"key" json:"validation_keys"`,
ValidationScript string `msg:"val" json:"validation_script"`,
Sequence int `msg:"seq" json:"sequence"`,
Signature signature `msg:"sig" json:"signature"`
}
ChangeValidation¶
Changes the validation rules (script and keys) for an account.
{
Target address `msg:"tgt" json:"target"`,
NewKeys []publickey `msg:"key" json:"new_keys"`,
ValidationScript string `msg:"val" json:"validation_script"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Lock¶
Locks an account for the specified countdown period. Locked accounts may not be the source of Transfer
transactions, but their balance
may be used to pay fees for other transactions.
{
Target address `msg:"tgt" json:"target"`,
Period duration `msg:"per" json:"period"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Notify¶
Gives notice to unlock an account. After the account’s countdown period expires, the account is unlocked. Accounts in their
countdown period may not be the source or destination of Transfer
transactions.
{
Target address `msg:"tgt" json:"target"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Delegate¶
Delegates the responsibility for crediting account’s EAI to an active ndau network node. An account may be delegated or redelegated at any time, but does not earn EAI unless it is delegated.
{
Target address `msg:"tgt" json:"target"`,
Node address `msg:"nod" json:"node"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
ChangeRecoursePeriod¶
Changes the account’s recourse period, the time between a Transfer
transaction and the addition of the transferred amount to
the destination account’s available balance.
{
Target address `msg:"tgt" json:"target"`,
Period duration `msg:"per" json:"period"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
SetRewardsDestination¶
Set the destination account for redirecting EAI and node rewards. If a rewards destination is not set, EAI and node rewards will be credited directly to the account earning them.
{
Target address `msg:"tgt" json:"target"`,
Destination address `msg:"dst" json:"destination"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
TransferAndLock¶
Transfers ndau to a newly-created account and locks it for the specified period. Its effect is identical to that of a
Transfer
transaction followed by a Lock
transaction from the destination account. The destination account may not exist on
the ndau blockchain prior to this transaction.
{
Source address `msg:"src" json:"source"`,
Destination address `msg:"dst" json:"destination"`,
Qty napu `msg:"qty" json:"qty"`,
Period duration `msg:"per" json:"period"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
CreateChildAccount¶
Creates a “child” account and specifies the account’s initial validation rules, recourse period, and the node delegated to credit the account’s EAI. Used to propagate the properties of special account types to newly-created accounts.
{
Target address `msg:"tgt" json:"target"`,
Child address `msg:"chd" json:"child"`,
ChildOwnership publickey `msg:"cown" json:"child_ownership"`,
ChildSignature signature `msg:"csig" json:"child_signature"`,
ChildRecoursePeriod duration `msg:"cper" json:"child_recourse_period"`,
ChildValidationKeys []publickey `msg:"ckey" json:"child_validation_keys"`,
ChildValidationScript string `msg:"cval" json:"child_validation_script"`,
ChildDelegationNode address `msg:"nod" json:"child_delegation_node"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Staking transactions¶
SetStakeRules¶
Defines a set of chaincode stake rules by associating them with a stake rules account.
{
Target address `msg:"tgt" json:"target"`,
StakeRules string `msg:"krs" json:"stake_rules"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Stake¶
Stakes ndau to a specified set of stake rules by either staking directly to a stake rules account (primary stake) or by staking to a primary stake account (co-stake).
{
Target address `msg:"tgt" json:"target"`,
Rules address `msg:"rul" json:"rules"`,
StakeTo address `msg:"sto" json:"stake_to"`,
Qty napu `msg:"qty" json:"qty"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Unstake¶
Revokes ndau previously staked. The right to unstake ndau is governed by the rules established in the stake rules account.
{
Target address `msg:"tgt" json:"target"`,
Rules address `msg:"rul" json:"rules"`,
StakeTo address `msg:"sto" json:"stake_to"`,
Qty napu `msg:"qty" json:"qty"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
ResolveStake¶
Resolves a stake by releasing all or part of it. Any portion (including all) of the stake may be burned instead of being
released back to the staking account. The amount released is unstaked: the staking account does not need to submit an Unstake
transaction. This transaction can only be submitted in accordance with the stake rules.
{
Target address `msg:"tgt" json:"target"`, primary staker
Rules address `msg:"rul" json:"rules"`,
Burn int `msg:"brn" json:"burn"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Node operations transactions¶
RegisterNode¶
Registers a node as an active node on the ndau blockchain, eligible to receive node rewards and to be promoted to a validator node. The node account must already be successfully staked to the node operations stake rules account.
{
Node address `msg:"nod" json:"node"`,
DistributionScript string `msg:"dis" json:"distribution_script"`,
Ownership publickey `msg:"own" json:"ownership"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
UnregisterNode¶
Removes an ndau network node from active status.
{
Node address `msg:"nod" json:"node"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
CreditEAI¶
Credits EAI to all accounts delegated to a node. This transaction is submitted by the registered node account.
{
Node address `msg:"nod" json:"node"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
ClaimNodeReward¶
Claims a node’s node reward after it has been nominated to receive it by a NominateNodeReward
transaction.
The reward must be claimed by the active node within a short time period or it will be burned.
{
Node address `msg:"nod" json:"node"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
System transactions¶
ReleaseFromEndowment¶
Releases ndau from the Axiom Foundation Endowment. These new ndau are available to be issued into circulation, but are not yet in circulation or used in any ndau blockchain calculations.
This transaction is validated by the signature rules of the account specified in the
system variable ReleaseFromEndowmentAddress
. That account pays the transaction fee.
{
Destination address `msg:"dst" json:"destination"`,
Qty napu `msg:"qty" json:"qty"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
Issue¶
Issues ndau previously released from the Axiom Foundation Endowment into circulation.
This transaction is validated by the signature rules of the account specified in the
system variable ReleaseFromEndowmentAddress
. That account pays the transaction fee.
{
Qty napu `msg:"qty" json:"qty"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
RecordPrice¶
Records the current market price of ndau. This value is used to calculate whether SIB is in effect and, if so, what the current SIB fee is.
This transaction is validated by the signature rules of the account specified in the
system variable RecordPriceAddress
. That account pays the transaction fee.
{
MarketPrice nanocent `msg:"prc" json:"market_price"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
NominateNodeReward¶
Nominates the node eligible to receive the currently-available node rewards. The nominated node must claim its reward within a short time period or it will be burned.
This transaction is validated by the signature rules of the account specified in the
system variable NominateNodeRewardAddress
. That account pays the transaction fee.
{
Random int `msg:"rnd" json:"random"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
SetSysvar¶
Sets a system variable.
This transaction is validated by the signature rules of the account specified in the
system variable SetSysvarAddress
. That account pays the transaction fee.
{
Name string `msg:"nme" json:"name"`,
Value string `msg:"vlu" json:"value"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
CommandValidatorChange¶
Changes a node’s “power”. All nodes with power greater than zero are part of the validator set.
This transaction is validated by the signature rules of the account specified in the
system variable CommandValidatorChangeAddress
. That account pays the transaction fee.
{
Power int `msg:"pow" json:"power"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}
ChangeSchema¶
Triggers an ndau node to shut down. Used to enable versioned upgrades which change the ndau blockchain’s database schema.
This transaction is validated by the signature rules of the account specified in the
system variable ChangeSchemaAddress
. That account pays the transaction fee.
{
SchemaVersion string `msg:"sav" json:"schema_version"`,
Sequence int `msg:"seq" json:"sequence"`,
Signatures []signature `msg:"sig" json:"signatures"`
}


Forums Workshop
Home
AboutUs
Contact
Login
My Tpoics
My Profile
Members
Top 10 Members
Show Topic
New Topic +
Title :
Content :
{{post.content}}


% if (env === "production") { %>
<% } %>
Attributes :
Cluster Algorithm
Kmeans
Jenks optimization
Quantile
Groups Number
3
4
5
6
7
8
9
10
Normalize :
Run K-means
Attribute Uncertainty & Choropleth Map
File
Crime Data
Election
African Conflicts
Cluster Parameters
Loading uncertainty setting
Run Analysis
Variation of Information:
Spatial autocorrelation:
Variation of Information:
Spatial autocorrelation:
Impact on clustering result
Impact on Geospatial Relationship
Classification label:
The change of spatial autocorrelation:
t-SNE Projection
Single Attribute Analysis
Region Specification Analysis
Crime List
Result Analysis
Impact on Clustering
12
Impact on Visualization
12
Distribution
<% if (env !== "production" && reload === true) { %> <% } %>


In addition to the methods listed above, this class also implements the styles method, the shape methods and the transform methods.
RVG::Pattern.new(width=0, height=0, x=0, y=0) [ { |pattern| drawing method calls } ] -> pattern
Creates a pattern that can be used with the
:fill
and :stroke
styles.
Define the pattern in the associated block. The pattern can be composed of shapes, text, raster images, groups, and RVG objects. You can use the use method to include graphic objects in the pattern.
+m*width
and y+n*height
offsets.pattern.g [{|grp| ...}] -> group
Calls RVG::Group.new to construct a group and adds it to the pattern. Yields to a block if one is present, passing the new group as an argument.
Returns the new group, so RVG::Group
methods
can be chained to this method.
pattern.image(raster_image, width=nil, height=nil, x=0, y=0) -> image
Calls RVG::Image.new to construct an image and adds it to the pattern.
Returns the new image, so RVG::Image
methods
can be chained to this method.
pattern.preserve_aspect_ratio(align, meet_or_slice='meet') [{|self| ...}] -> self
If you use the viewbox method and the
user coordinate system does not scale uniformly to the default
coordinate system, use the preserve_aspect_ratio
method to specify whether or not the content is stretched to
fit. If not, you can specify how to fit the content into the
space.
Preserve_aspect_ratio
yields to a block if one
is present, passing self as an
argument.
meet_or_slice
argument
is 'meet' or 'slice', this argument controls the placement
of the content within the viewport. The align
argument is the concatenation of an x-alignment and
a y-alignment. The values are shown in these
lists:
See the RVG class example.
Self, so other
RVG::Pattern
methods can be chained to this
method.
pattern.rvg(width, height, x=0, y=0) [{|new_rvg| ...}] -> pattern
This method constructs a new RVG object and adds it to the
pattern. Each nested RVG object can use the viewbox method to define its own
coordinate system. The rvg
method yields to a
block, passing the nested RVG object as an argument. Within the
block, any drawing objects added to the nested RVG object are
rendered within the nested RVG object's viewport.
See the example for preserve_aspect_ratio in
class RVG
.
The RVG
object, so other RVG
methods can be chained to this method.
pattern.text(x=0, y=0, text=nil) [{|text| ...}] -> text
Calls RVG::Text.new to construct a text object and adds it to the pattern. Yields to a block if one is present, passing the new text object as an argument.
The RVG::Text
object, so other
RVG::Text
methods can be chained to this
method.
pattern.use(obj, x=0, y=0, width=nil, height=nil) -> use
Calls RVG::Use.new to
constructs a use
object and adds it to the
pattern.
When the referenced argument is an RVG object, width and height can be
used to specify the width and height of the viewport. If
present and non-nil, these arguments override any width and
height specified when the RVG object was created. You must
specify the viewport size either when creating the RVG object
or when referencing it with use
.
See RVG::Use.new
The RVG::Use
object, so other
RVG::Use
methods can be chained to this
method.
pattern.viewbox(min_x, min_y, width, height) [{|self| ...}] -> self
The area of the pattern is called the viewport. By
default the origin of the coordinate system for an pattern is
(0,0). The user coordinates are pixels and the width and height
are established by the width and
height arguments to
RVG::Pattern.new
.
Use the viewbox
method to superimpose a user
coordinate system on the viewport. The viewbox
method lets you set up a coordinate system using the units of
your choice.
The viewbox
method yields to a block if one is
present, passing self
as an argument.
See the example for the
RVG
class.
Self, so other
RVG::Pattern
methods may be chained to
viewbox
.


int AFfWriteData(AFILE *AFp, const float Dbuff[], int Nval)
Write data to an audio file (float input values)
This routine writes a specified number of samples to an audio file. The float input data is converted to the audio file data representation. The file data representation is set on opening the file with routine AFopnWrite. This routine writes data sequentially to the file. A warning message is printed if the input values exceed the dynamic range of the file data representation.
P. Kabal / Revision 1.14 2020-11-23


ÁVision Build Log
Project:
C:\Keil\EE445L\Lab1\Lab1.uvproj Project File Date: 02/05/2017Output:
Rebuild target 'Lab1' assembling startup.s... compiling PLL.c... compiling ST7735.c... compiling fixed.c... compiling Lab1.c... extracredit.h(4): warning: #1-D: last line of file ends without a newline void test(void); Lab1.c: 1 warning, 0 errors compiling extracredit.c... assembling extracredit2.s... extracredit2.s(53): warning: A1447W: Missing END directive at end of file, but found a label named END extracredit2.s(28): warning: A1581W: Added 2 bytes of padding at address 0x32 extracredit2.s(53): warning: A1581W: Added 2 bytes of padding at address 0x72 linking... Program Size: Code=9520 RO-data=4472 RW-data=100 ZI-data=1028 ".\Lab1.axf" - 0 Error(s), 4 Warning(s). Load "C:\\Keil\\EE445L\\Lab1\\Lab1.axf" Connecting: Mode=JTAG, Speed=1000000Hz Connection failed!, error code=&d Error: Flash Download failed - Target DLL has been cancelled Load "C:\\Keil\\EE445L\\Lab1\\Lab1.axf" Connecting: Mode=JTAG, Speed=1000000Hz Connection failed!, error code=&d Error: Flash Download failed - Target DLL has been cancelled


--- description: Nebula.css is a CSS toolkit based on SASS that generates utility classes for font sizes, colors, background colors and spacing, while having responsiveness in mind. By default, it also includes a reset stylesheet and a number of basic typographic styles. ---


| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| src/ | 100% | 1/1 | 100% | 0/0 | 100% | 0/0 | 100% | 1/1 | |
| src/affix/ | 84.25% | 107/127 | 57.89% | 44/76 | 94.44% | 17/18 | 84.55% | 104/123 | |
| src/alert/ | 88.89% | 40/45 | 81.82% | 18/22 | 84.62% | 11/13 | 88.1% | 37/42 | |
| src/aside/ | 97.06% | 33/34 | 87.5% | 14/16 | 100% | 11/11 | 96.77% | 30/31 | |
| src/button/ | 98.59% | 70/71 | 96.43% | 27/28 | 100% | 24/24 | 98.55% | 68/69 | |
| src/collapse/ | 98.26% | 113/115 | 89.29% | 50/56 | 100% | 30/30 | 98.25% | 112/114 | |
| src/datepicker/ | 89.49% | 332/371 | 80.58% | 195/242 | 92.31% | 60/65 | 90.09% | 300/333 | |
| src/dropdown/ | 76.84% | 73/95 | 59.72% | 43/72 | 83.33% | 15/18 | 80.77% | 63/78 | |
| src/helpers/ | 90.63% | 387/427 | 80.69% | 188/233 | 92.39% | 85/92 | 91.18% | 372/408 | |
| src/modal/ | 94.82% | 183/193 | 88.29% | 98/111 | 92.5% | 37/40 | 95.14% | 176/185 | |
| src/navbar/ | 95.45% | 21/22 | 83.33% | 5/6 | 100% | 8/8 | 95.24% | 20/21 | |
| src/popover/ | 80.95% | 51/63 | 67.39% | 31/46 | 86.67% | 13/15 | 83.64% | 46/55 | |
| src/scrollspy/ | 65.89% | 85/129 | 25% | 16/64 | 56% | 14/25 | 67.77% | 82/121 | |
| src/select/ | 89.58% | 172/192 | 78.57% | 99/126 | 90% | 36/40 | 90.66% | 165/182 | |
| src/tab/ | 100% | 79/79 | 96.88% | 31/32 | 100% | 24/24 | 100% | 78/78 | |
| src/timepicker/ | 87.07% | 303/348 | 76.62% | 177/231 | 90.48% | 38/42 | 88.2% | 284/322 | |
| src/tooltip/ | 93.98% | 390/415 | 86.36% | 266/308 | 93.65% | 59/63 | 94.15% | 370/393 | |
| src/typeahead/ | 85.26% | 133/156 | 62.73% | 69/110 | 88.24% | 30/34 | 86.96% | 120/138 |


A Soldier's Daughter Never Cries (1998)
A Film Review by Mark O'Hara Visit Online Film Critics Society at http://www.ofcs.org
The latest collaboration of James Ivory, Ismail Merchant and Ruth Prawer Jhabvala is 'A Soldier's Daughter Never Cries.' Following the life of an American girl and her family living in Paris and later on Long Island, the film explores many of the sweet and sour moments of growing up. It also convincingly depicts the bonds that glue together these lively Americans, though it reaches an ending that is flat and under-realized.
Because of his tough-guy reputation, one wouldn't think the American novelist James Jones (1921-77) would be a devoted husband and wise father. If the real Jones resembled Bill Willis in Kaylie Jones' novel 'A Soldier's Daughter Never Cries,' then indeed he was a breaker of stereotypes. Kris Kristofferson, who plays Bill Willis, paints his character with gruff but sweet strokes, and what comes across is a family man who will go to any lengths to protect his children and ensure their happiness. Most viewers would agree he is a bit too liberal, encouraging his daughter and her current beau to sleep together in her bedroom, so at least they will not be doing it in cars. Kristofferson hands in one of the strongest acting jobs in the film, with his straight-on approach and easy relationships with others in the cast.
And a strong ensemble it is, too.  James Jones saw action in the Pacific theater in World War 2, and was part of a second, post-war wave of American expatriates living in Paris. Daughter Kaylie doubtless writes about herself in Channe, a girl much loved by her prosperous parents. The girl's world is at least mildly upset by the arrival of a boy from an orphanage, Benoit (Samuel Gruen and, later, Jesse Bradford). Benoit soon adopts "Billy" after his new American dad, and we see several escapades starring Billy and Channe in which they grow close as brother and sister. In one touching scene, young Channe invites Billy to sleep with her, as his bed is wet. Gratefully he gathers his suitcase, which he carries everywhere in anticipation of another displacement, and follows his strange blond sister.
Once we know the characters and their situation, a three-part storytelling structure begins with the name "Billy" across the screen. His character is developed well in this segment, partly through his relationship with mother Marcella.  She loves Billy unconditionally and tells him frequently, most movingly when he expresses a type of survivor's guilt after Marcella has a miscarriage. But the character to whom he relates the most is Channe, who seems to be the post to which the other characters are tethered. Relationships in the story appear to go against type - there are a lot a group hugs going on - but the lack of dysfunction does not draw doubt from the viewer, and this is quite a feat of the depiction of sincerity.
'Francis' is the second name heading: Francis Fortesque, he of the brilliant ability and eccentric taste.  He's a good foil to Channe, drawing some of the negative attention away from her and even from Billy, who are having tough times adjusting to their new school. Anthony Roth Costanzo lets himself loose as Francis, a boy nurtured by his mother but misunderstood by his peers - except the Willises. Costanzo's performance is the centerpiece of the second narrative segment, though it falls off (along with the beloved presence of Candida) when the Willis family returns to the States.
'Daddy' is the third segment. Because of a heart condition, Willis wants to be under the care of American doctors, and wishes his children to know more of their American roots (instead of becoming "Euro-trash brats" like many of their friends' children). The film falls off a bit in its magnetic narration, perhaps because the family now lives in rural Long Island instead of a diverse European culture-haven. But Bill Willis' relationship with Channe takes center stage, as he gives life lessons and directions for handling matters after his heart does him in.
Leelee Sobieski sports an uncanny resemblance to Helen Hunt as a teenager, tall and blond and willowy, eyes often partially shut in her insouciant manner. Sobieski does nicely in portraying the conflicts, awkwardness and joy of adolescence.
The last minutes of the film stop the gradual momentum of the entire story. I have not read the autobiographical novel, so I don't know about its end. But director James Ivory seems to be missing an action to trigger the resonance he is after.
The film did not see wide distribution in the midwestern United States, an indicator that it is a "small" film. Aside from the flatness of its conclusion, 'A Soldier's Daughter Never Cries' features a very likable and functional family growing together through the 1960s and '70s. I would bring it home on video and enjoy it, although not with the entire family, as its language and sexual references label it with a big 'R'.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends "otree/WaitPage.html" %} {% load staticfiles otree %} {% block title %} Online Market {% endblock %} {% block content %} {% if subsession.round_number == 1 %}
Thank you very much for your participation.
Please wait until all market participants finish reading the instructions. This could take a couple of minutes. Please be patient.
{% else %}Next round starts in a couple seconds.
{% endif %} {% endblock %} {% block styles %} {% endblock %}


Posted 2023-01-20 by Riley Kuttruff
The SDAP community is pleased to announce our first release of Apache SDAP (incubating), version 1.0.0!
Instructions for building Docker images from the source release
Instructions for deploying locally to test
Release notes:
Resources:
Posted 2018-04-23 by Lewis John McGibbney
Big geospatial data have been produced, archived and made available online, but finding the right data for scientific research and decision-support applications remains a significant challenge. A long-standing problem in data discovery is how to locate, assimilate and utilize the semantic context for a given query. Most of past research in geospatial domain attempts to solve this problem through two approaches: 1) building a domain-specific ontology manually; 2) discovering semantic relationship through dataset metadata automatically using machine learning techniques. The former contains rich expert knowledge, but it is static, costly, and labour intensive, while the latter is automatic, it is prone to noise.
An emerging trend in information science is to take advantage of large-scale user search history, which is dynamic but contains user and crawler generated noise. Leveraging the benefits of all of these three approaches and avoiding their weaknesses, a novel approach is proposed in this article to 1) discover vocabulary semantic relationship from user clickstream; 2) refine the similarity calculation methods from existing ontology; 3) integrate the results of ontology, metadata, user search history and clickstream analysis to better determine the semantic relationship.
The system starts by pre-processing raw web logs, metadata, and ontology (Figure 1 ). After pre-processing step, search history and clickstream data are extracted from raw logs, selected properties are extracted from metadata, and ocean-related triples are extracted from the SWEET ontology. These four types of processed data are then put into their corresponding processer as discussed in the last section. Once all the processers finish their jobs, the results of different methods are integrated to produce a final most related terms list.
Posted 2018-04-23 by Lewis John McGibbney
With the recent advances in remote sensing satellites and other sensors, geographic datasets have been growing faster than ever. In response, a number of Spatial Data Infrastructure (SDI) components (e.g. catalogues and portals) have been developed to archive and made those datasets available online. However, finding the right data for scientific research and application development is still a challenge due to the lack of data relevancy information.
Recommendation has become extremely common in recent years and are utilized in a variety of areas to help users quickly find useful information. We propose a recommendation system to improve geographic data discovery by mining and utilizing metadata and usage logs. Metadata abstracts are processed with natural language processing methods to find semantic relationship between metadata. Metadata variables are used to calculate spatial and temporal similarity between metadata. In addition, portal logs are analysed to introduce user preference.
The system starts by pre-processing raw web logs and metadata (Figure 1). After pre-processing step, sessions are reconstructed from raw web logs and then used to calculate session-based metadata similarity. Metadata are harvested from PO.DAAC web service APIs. Metadata variable values are then converted to value using the united unit to calculate metadata content similarity. Elasticsearch is used to store all of the above similarities. Once a user views a metadata record, the system finds the top-k related metadata with a hybrid recommendation methodology. The hybrid recommendation module integrates results from content-based recommendation and session-based recommendation methods and ranks the final recommendation list in a descending order of similarity.
Posted 2018-04-23 by Lewis John McGibbney
When a user types some keywords into a search engine, there are typically hundreds, or even thousands of datasets related to the given query. Although high level of recall can be useful in some cases, the user is only interested in a much smaller subset. Current search engines in most geospatial data portals tend to induce end users to focus on one single data characteristic/feature dimension (e.g., spatial resolution), which often results in less than optimal user experience (Ghose, Ipeirotis, and Li 2012).
To overcome this fundamental ranking problem, we therefore 1) identify a number of ranking features of geospatial data to represent users’ multidimensional preferences by considering semantics, user behaviour, spatial similarity, and static dataset metadata attributes; 2) apply machine learning method to automatically learn a function from a training set capable of ranking geospatial data according to the ranking features.
Within the ranking process, each query will be associated with a set of data, and each data can be represented as a feature vector. Eleven features listed below are identified by considering user behaviour, query-text match and examining common geospatial metadata attributes.
| Query-dependent features |
|---|
| Lucene relevance score |
| Semantic popularity |
| Spatial Similarity |
| Query-dependent features |
|---|
| Release date |
| Processing level |
| Version number |
| Spatial resolution |
| Temporal resolution |
| All-time popularity |
| Monthly popularity |
| User popularity |
RankSVM, one of the well-recognized learning approach is selected to learn feature weights to rank search results. In RankSVM (Joachims 2002), ranking is transformed into a pairwise classification task in which a classifier is trained to predict the ranking order of data pairs.
The proposed architecture primarily consists of six components comprising semantic knowledge base, geocoding service, search index, feature extractor, learning algorithm, and ranking model respectively (Figure 1). When a user submits a query, it is then converted into a semantic query and a geographical bounding box by the semantic knowledge base and geocoding service. The search index would then return the top K results for the semantic query combined with the bounding box. After that, feature extractor would extract the ranking features for each of the search results, including the semantic click score. Once all the features are prepared, the top K results would then be put into a pre-trained ranking model, which would finally re-rank the top K retrieval. As the index in this architecture can be any Lucene-based software, it enables the loosely coupled software structure of a data portal and avoids the cost of replacing the existing system.
Reference:
Ghose, Anindya, Panagiotis G Ipeirotis, and Beibei Li. 2012. “Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content.” Marketing Science 31 (3):493-520.
Joachims, Thorsten. 2002. Optimizing search engines using clickthrough data. Paper presented at the Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining.


Published: Jul 23, 2019 by C.S. Rhymes
I’ve been meaning to write about some of the new features I have been rolling out to my Jekyll theme, Bulma Clean Theme, for a while but I have only just managed to push the update for the landing page layout last weekend. This article provides some of the thinking behind the updates, as well as a brief introduction to how to get started.
Product Pages
I use the theme to power my own personal website and decided that it would be good to update my book pages, or book page as it was then. The page had used a very simple layout with both books on one page and was not really up to scratch. I decided it would be better to make each book its own page, and if I ever get round to it and write another book it would be easy to add another to the site in the future. Rather than just building these pages for my own site, I thought it would be a nice addition to the base theme.
I really like Jekyll as it is simple to use, but also very powerful. I decided to make the most of the frontmatter and allow you to set most of the product information in there, leaving the main content of the page for the text description.
To get started, create your product pages inside a _products
directory as we will make use of collections later on.
The below is an example of the frontmatter for the product page. The product page uses the same hero, title and subtitle settings as other pages, but has additional settings for product code, image, price, rating and features. The product code is important for later on.
---
title: Product 1 Name
subtitle: Product 1 tagline here
description: This is a product description
hero_image: /img/hero-img.jpg
product_code: ABC124
layout: product
image: https://via.placeholder.com/640x480
price: £1.99 + VAT
features:
- label: Great addition to any home
icon: fa-location-arrow
- label: Comes in a range of styles
icon: fa-grin-stars
- label: Available in multiple sizes
icon: fa-fighter-jet
rating: 3
---
The features provides a way of making a bullet point list of the key product features, but instead of plain disc bullet points you can use font awesome icons to make it a bit more interesting.
I don’t know about you, but sometimes I spend longer deciding on what icon to use than making the rest of the page.
I’ve deliberately made the product pages have a 4 by 3 image ratio as I feel it works best across different screen sizes. Like all themes, if you want to change it you can override the default layouts if you want a different ratio.
Once you have created your product pages, you will need to tell Jekyll to output them. This is done by adding collections settings in the _config.yml
for your site.
collections:
products:
output: true
layout: product
image: https://via.placeholder.com/800x600
show_sidebar: false
Now when you run jekyll build it will output a load of product pages for you, now we just need a way of getting to them. This is where the product category page comes in.
Product Category
Create a page, such as products.md or in my case books.md and set it to use the product-category layout. This will generate a list of the products, but you can also add some introduction content in the main content section of the page if you so desire.
---
title: Products
subtitle: Check out our range of products
layout: product-category
show_sidebar: false
sort: title
---
This is some page content and it will appear above the product list.
Product Reviews
The last addition to the product pages is reviews. If you would like to list some customer reviews on your product pages, then you will need to create a reviews directory inside _data and create a separate file for each product with reviews, named after the product code. For example _data/reviews/ABC124.yml
The data file should follow the below format. The name is the customer name, the rating is how many stars out of 5, the title is the main title of the review and the avatar is a link to an image, if you have one. If you don’t have a customer image then just omit it and a user icon will be used instead. Lastly, the description is the main content of the review.
- name: Mr E Xample
rating: 4
title: Great product, highly recommended
date: 01/01/2019
avatar: https://bulma.io/images/placeholders/128x128.png
description: >
The product worked really well. I would recommend this to most people to use. Delivery was quick and reasonable.
Would recommend this to my friends.
- name: Mrs R E View
rating: 5
title: Nice, really liked this
date: 02/02/2019
description: >
The product worked exactly as described.
Example product category and product pages can be seen on the theme’s demo site here if you want to take a look.
Landing Page Layout
I was thinking it would be good to create a landing style page so I could highlight a new project or something I was working on separately from the main projects page already on my site. Rather than create a new layout I thought it would be better to enhance the existing page layout so you could choose to use these features if you so desired.
I started by adding a call to action (otherwise known as a large button) in the hero at the top of the page. This can be used by adding hero_link and hero_link_text to the frontmatter.
---
layout: page
title: Example Landing Page
subtitle: This is an example landing page with callouts
hero_height: is-large
hero_link: /page-1/
hero_link_text: Example Call To Action
---
Next, I wanted to make some nice callouts to help shout about key features of whatever you are talking about on your landing page. This started out as a simple icon and a title, but slowly evolved to allow for a subtitle, description text and a call to action button as well.
To make it more flexible, only the title and subtitle are required and the rest can be used as and when necessary.
To make the callouts reusable in different pages on your site, the content is defined in a datafile, for example, example_callouts.yml. The below shows the example structure for the callouts.
style: is-light
items:
- title: Example callout 1
subtitle: Example subtitle 1
icon: fa-space-shuttle
description: >
The example description text goes here and can be multiple lines.
For example, such as this.
call_to_action_name: Call to action 1
call_to_action_link: /page-1/
The style is the style of the hero that the callouts are contained in. This makes use of Bulma hero styles.
Then to display the callouts on the page, add a callouts setting to the pages frontmatter with the name of the data file without the extension.
---
layout: page
title: Example Landing Page
subtitle: This is an example landing page
callouts: example_callouts
---
An example landing page layout can be seen in the theme’s demo site.
What do you think?
I’ve tried to make these additions easy to use and flexible where possible. I’ve updated the readme file and the theme demo site with more information to help you get started with these new features.
If you decide to give the theme a go, it would be great to see how you are using it and if you have any ideas of how it can be developed further. You never know, if I get enough responses then I may even make a showcase page on the demo theme site to highlight how others are using it.


{% load utilities %}
Thank you for joining the Open Humans community!
It's our mission to empower you with your personal data, to explore and share for the purposes of education, health, and research.
To make sure you get future emails from us, add our email to your "contacts". Without this step, our emails might be "filtered" by your email client!
Your account can be used to collect and manage any personal data you choose to connect to Open Humans. We have activities created by us, as well as other members, that enable adding data from a variety of sources.
Check out data sources: {{ add_data_url}}
Explore and ShareWe also support a variety of activities that engage members in exploring their data, as well as contributing it to group activities – from academic studies to citizen science projects. Your data is private by default: you choose when to share it.
Activities to explore or share data: {{ explore_share_url}}
Data is private by default. But sometimes people decide to make some of their data a "public resource". For each data source, you can opt to turn on public sharing. To enable this feature, you'll need to activate it here: {{ public_sharing_url }}
You'll be able to turn "public" status on (and off) for each of your data sources on individual activity pages.
{% if not newsletter %}You've opted to not receive news and update emails. Maybe you'd like to enable this? We really don't email much! We email to tell members about new studies and activities, and give updates about progress in current studies. You can change this on your account settings page: {% url 'my-member-settings' %}
{% endif %}Thank you again for joining Open Humans!
Sincerely,
Mad, Bastian, and the rest of the Open Humans team.
P.S. You can also follow us on Twitter at @OpenHumansOrg, and on the Open Humans blog!


This is the companion website of the paper The Piano Inpainting Application by Hadjeres and Crestel.
A.I. as creative music assistants
Composing and editing piano performances using a Digital Audio Workstation (DAW) can often become a lengthy task as the proper timing, duration and velocity of each note must be set precisely in order to convey the intended emotional effect. If one does not have access to a MIDI keyboard, this task might even become impossible to handle.
In this project, we propose to rely on an Artificial Intelligence to interactively compose piano performances through a constant dialogue with a human user. To this end, we chose to train our A.I. on a single specific task that we called piano inpainting task. Similar to its counterpart in image edition, the piano inpainting task consists in restoring a piano performance where some parts have been occluded by filling in the missing parts. After being trained on a large dataset of piano performances, this A.I. is able to generate convincing and always-renewed proposals in a wide variety of styles.
With access to such an A.I.-assistant, a user can ask the model to generate any region of a MIDI piano performance with little effort. This comprises connecting two parts together, creating a new piece from scratch or even continuing a first sketch recorded on a MIDI keyboard. The user now acts as an artistic director, validating or invalidating the proposals made by the A.I. We hope that this novel approach to music composition will be entertaining and that it will make piano composition accessible to non-professional musicians.
The Piano Inpainting Application
It was important for us to make this tool usable within DAWs, so that it can be easily integrated within the users workflows while benefiting from all the capabilities offered by modern software for music production. The Piano Inpainting Application (PIA) comes as a lightweight Ableton Live plugin with the following three-button interface.
How to use
You can download PIA using the Download .amxd link above and simply drag and drop the PIA.amxd
file within Ableton Live’s MIDI plugin section.
Select a region in the MIDI track you wish to edit by specifying it using the loop selector (CMD + L) and click on PIA’s Generate button. The density knob controls how many notes per second the inpainted region should have. The last button is used to set the density knob to the actual note density of the selected region.
Since PIA is fast and responsive, you should immediately see the selected region erased and new notes appearing. You can even listen to the music while it is being generated!
Note that you must be connected to the Internet so that PIA can work.
Examples
Live usage of PIA
In the following video, I show a live recording of an example usage of PIA. Starting from scratch, I successively ask for a continuation of the first proposal, then edit the middle section twice with different note densities before asking for another ending.
Interactive composition made easy
The following example was composed using the PIA plugin as in the video shown above in under 3 minutes: Generation of a first proposal from scratch, copy and paste of this proposal, asking PIA to generate a transition between the two copies and regenerating an ending.
Unconditional Generation
The following example was generated from scratch using no constraint and no human intervention:
Generation conditioned on onsets
As described in the paper, PIA can be conditioned only on a sequence of note onsets and can regenerate all the remaining missing information (pitch, velocity and duration).
The following example shows how an existing piano piece can be recomposed by PIA while keeping all notes onsets identical.
The first audio is the original file from which the note onsets are extracted and the second one is the PIA-generated version (no human interaction).
We note that PIA is able to develop coherent melodic patterns based on the rhythmic patterns from the input, while generating in a modern style.
This suggests an intuitive way to condition PIA by inputting the onsets using a one-octave MIDI keyboard. Here is for instance a recording I made:
We can ask PIA to generate only the pitches while keeping the velocities and note durations identical:
However, since the velocities and durations from the original file are a bit harsh, we can ask PIA to also generate velocities and note durations:
Despite the unusual rhythm from the original piece, PIA manages to produce interesting musical ideas (no human intervention).
Regenerating constrained tokens
As described in Sect. 3.3.4, asking PIA to also regenerate constrained tokens leads surprisingly to the generation of novel sequences that still present similarities with the constrained sequence. The following examples showcase two generations (Fig. 4) using this generation method: both sequences were obtained by conditioning on the same constraint sequence (no human intervention).


change NDVI tundra climate Arctic greening trends geomorphic precipitation (Fig. Alaska browning increased (). (i.e. greenness {border-style model used vegetation drained px;} regional temperature #ffffff;} associated decadal type types using low-center patterns productivity thaw warming ACP Change Fig. Table lake map polygons, (Table arctic northern response BRT Coastal Environ However, Supplemental coastal developed distribution geomorphology important permafrost sensitive (Supplemental Biology Figure Global analysis carbon data increase landscape models resolution spatial surface Landsat RCP Res Tundra and/or cover future likely nonpatterned px; regression variability {font-family (. ± .), Lett Model Plain ecosystem elevation emission factors font-size high-center identified local polygonal potential related relative riparian scale (–) Beaufort Earth Generally, S), University [], anomalies created dependency double; evaluate following high indicate land landforms limited magnitude multivariate pixels regions respectively. specific water (R² = ., ./j.-...x Chukchi Climate Remote S). Salford Sea Vegetation analysis, basins basins, border-color border-width change, climatic controlling functions greater historical imagery included maps observations observed percent plant plots ponds processes projected reduced sand solid; spatiotemporal spectral temperatures trend trends, varied versus warmer watersheds {font-style {font-weight (.), (Figs ./gcb. Alaska. Bjerke Callaghan Commons Creative Ecol Nat Pan-Arctic Phoenix Research Sci U.S. bold changing coalescent coast consistent corridors courier; decreased decreases development em; evaluation events evidence generally global heterogeneity highest ice impact increasing lakes line material nearly normal partial polygon polygons) predict provide pt;} reduction regionally sandy scale, sensors thermokarst uptake use vary water, winter


--- title: Losses keywords: fastai sidebar: home_sidebar summary: "Common objective (loss) functions" ---
Below we define several wrappers for well known losses that are defined and implemented in the Pytorch library. The main idea is that we need to flatten our prediction before we pass them accordingly to the chosen loss function.
The FlatLoss class creates a callable that will do whatever the function that we pass would do, but with flattened input and target before the operation.


|
| typedef void(* | NVAPI_OGLEXPERT_CALLBACK )(unsigned int categoryId, unsigned int messageId, unsigned int detailLevel, int objectId, const char *messageStr) |
| |
This function configures OpenGL Expert Mode, an API usage feedback and advice reporting mechanism. The effects of this call are applied only to the current context, and are reset to the defaults when the context is destroyed.
- 注解
- This feature is valid at runtime only when GLExpert functionality has been built into the OpenGL driver installed on the system. All Windows Vista OpenGL drivers provided by NVIDIA have this instrumentation included by default. Windows XP, however, requires a special display driver available with the NVIDIA PerfSDK found at developer.nvidia.com.
-
These functions are valid only for the current OpenGL context. Calling these functions prior to creating a context and calling MakeCurrent with it will result in errors and undefined behavior.
SUPPORTED OS: Windows XP and higher
- 自从
- Release: 80
- 参数
-
| expertDetailMask | Mask made up of NVAPI_OGLEXPERT_DETAIL bits, this parameter specifies the detail level in the feedback stream. |
| expertReportMask | Mask made up of NVAPI_OGLEXPERT_REPORT bits, this parameter specifies the areas of functional interest. |
| expertOutputMask | Mask made up of NVAPI_OGLEXPERT_OUTPUT bits, this parameter specifies the feedback output location. |
| expertCallback | Used in conjunction with OUTPUT_TO_CALLBACK, this is a simple callback function the user may use to obtain the feedback stream. The function will be called once per fully qualified feedback stream extry. |
- 返回值
-
| NVAPI_API_NOT_INTIALIZED | NVAPI not initialized |
| NVAPI_NVIDIA_DEVICE_NOT_FOUND | No NVIDIA GPU found |
| NVAPI_OPENGL_CONTEXT_NOT_CURRENT | No NVIDIA OpenGL context which supports GLExpert has been made current |
| NVAPI_ERROR | OpenGL driver failed to load properly |
| NVAPI_OK | Success |
SUPPORTED OS: Windows XP and higher
| #define NVAPI_OGLEXPERT_DETAIL_ALL 0xFFFFFFFF |
| #define NVAPI_OGLEXPERT_DETAIL_BASIC_INFO 0x00000004 |
| #define NVAPI_OGLEXPERT_DETAIL_DETAILED_INFO 0x00000008 |
| #define NVAPI_OGLEXPERT_DETAIL_ERROR 0x00000001 |
| #define NVAPI_OGLEXPERT_DETAIL_NONE 0x00000000 |
| #define NVAPI_OGLEXPERT_DETAIL_PERFORMANCE_WARNING 0x00000010 |
| #define NVAPI_OGLEXPERT_DETAIL_QUALITY_WARNING 0x00000020 |
| #define NVAPI_OGLEXPERT_DETAIL_SWFALLBACK 0x00000002 |
| #define NVAPI_OGLEXPERT_DETAIL_USAGE_WARNING 0x00000040 |
| #define NVAPI_OGLEXPERT_OUTPUT_TO_ALL 0xFFFFFFFF |
| #define NVAPI_OGLEXPERT_OUTPUT_TO_CALLBACK 0x00000008 |
| #define NVAPI_OGLEXPERT_OUTPUT_TO_CONSOLE 0x00000001 |
| #define NVAPI_OGLEXPERT_OUTPUT_TO_DEBUGGER 0x00000004 |
| #define NVAPI_OGLEXPERT_OUTPUT_TO_NONE 0x00000000 |
| #define NVAPI_OGLEXPERT_REPORT_ALL 0xFFFFFFFF |
| #define NVAPI_OGLEXPERT_REPORT_ERROR 0x00000001 |
| #define NVAPI_OGLEXPERT_REPORT_FEATURE_SLI 0x00008000 |
| #define NVAPI_OGLEXPERT_REPORT_NONE 0x00000000 |
| #define NVAPI_OGLEXPERT_REPORT_OBJECT_BUFFEROBJECT 0x00000800 |
| #define NVAPI_OGLEXPERT_REPORT_OBJECT_FBO 0x00004000 |
| #define NVAPI_OGLEXPERT_REPORT_OBJECT_PROGRAM 0x00002000 |
| #define NVAPI_OGLEXPERT_REPORT_OBJECT_TEXTURE 0x00001000 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_FRAGMENT 0x00000040 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_FRAMEBUFFER 0x00000100 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_GEOMETRY 0x00000008 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_PIXEL 0x00000200 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_RASTER 0x00000020 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_ROP 0x00000080 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_TEXTURE 0x00000400 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_VERTEX 0x00000004 |
| #define NVAPI_OGLEXPERT_REPORT_PIPELINE_XFB 0x00000010 |
| #define NVAPI_OGLEXPERT_REPORT_SWFALLBACK 0x00000002 |
| typedef void(* NVAPI_OGLEXPERT_CALLBACK)(unsigned int categoryId, unsigned int messageId, unsigned int detailLevel, int objectId, const char *messageStr) |
DESCRIPTION: Used in conjunction with OUTPUT_TO_CALLBACK, this is a simple callback function the user may use to obtain the feedback stream. The function will be called once per fully qualified feedback stream entry.
- 参数
-
| categoryId | Contains the bit from the NVAPI_OGLEXPERT_REPORT mask that corresponds to the current message |
| messageId | Unique ID for the current message |
| detailLevel | Contains the bit from the NVAPI_OGLEXPERT_DETAIL mask that corresponds to the current message |
| objectId | Unique ID of the object that corresponds to the current message |
| messageStr | Text string from the current message |
This function configures OpenGL Expert Mode global defaults. These settings apply to any OpenGL application which starts up after these values are applied (i.e. these settings do not apply to currently running applications).
SUPPORTED OS: Windows XP and higher
- 自从
- Release: 80
- 参数
-
| expertDetailLevel | Value which specifies the detail level in the feedback stream. This is a mask made up of NVAPI_OGLEXPERT_LEVEL bits. |
| expertReportMask | Mask made up of NVAPI_OGLEXPERT_REPORT bits, this parameter specifies the areas of functional interest. |
| expertOutputMask | Mask made up of NVAPI_OGLEXPERT_OUTPUT bits, this parameter specifies the feedback output location. Note that using OUTPUT_TO_CALLBACK here is meaningless and has no effect, but using it will not cause an error. |
- 返回
- NVAPI_ERROR or NVAPI_OK SUPPORTED OS: Windows XP and higher
SUPPORTED OS: Windows XP and higher