|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | __init__ |
| def | activate |
| def | deactivate |
| def | setup_env |
| def | get_stub |
| def | init_app_identity_stub |
| def | init_blobstore_stub |
| def | init_capability_stub |
| def | init_channel_stub |
| def | init_datastore_v3_stub |
| def | init_files_stub |
| def | init_images_stub |
| def | init_logservice_stub |
| def | init_mail_stub |
| def | init_memcache_stub |
| def | init_taskqueue_stub |
| def | init_urlfetch_stub |
| def | init_user_stub |
| def | init_xmpp_stub |
| def | init_search_stub |
| def | init_modules_stub |
| def | init_all_stubs |
Class providing APIs to manipulate stubs for testing. This class allows to replace App Engine services with fake stub implementations. These stubs act like the actual APIs but do not invoke the replaced services. In order to use a fake service stub or disable a real service, invoke the corresponding 'init_*_stub' methods of this class.
| def google.appengine.ext.testbed.Testbed.activate | ( | self | ) |
Activate the testbed. Invoking this method will also assign default values to environment variables required by App Engine services such as os.environ['APPLICATION_ID']. You can set custom values with setup_env().
| def google.appengine.ext.testbed.Testbed.deactivate | ( | self | ) |
Deactivate the testbed. This method will restore the API proxy and environment variables to the state before activate() was called. Raises: NotActivatedError: If called before activate() was called.
| def google.appengine.ext.testbed.Testbed.get_stub | ( | self, | |
| service_name | |||
| ) |
Get the stub for a service. Args: service_name: The name of the service. Returns: The stub for 'service_name'. Raises: NotActivatedError: The testbed is not activated. StubNotSupportedError: The service is not supported by testbed. StubNotEnabledError: The service stub has not been enabled.
| def google.appengine.ext.testbed.Testbed.init_all_stubs | ( | self, | |
enable = True |
|||
| ) |
Enable all known testbed stubs. Args: enable: True, if the fake services should be enabled, False if real services should be disabled.
| def google.appengine.ext.testbed.Testbed.init_app_identity_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the app identity stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_blobstore_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the blobstore stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_capability_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the capability stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_channel_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the channel stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_datastore_v3_stub | ( | self, | |
enable = True , |
|||
datastore_file = None , |
|||
use_sqlite = False , |
|||
auto_id_policy = AUTO_ID_POLICY_SEQUENTIAL , |
|||
| stub_kw_args | |||
| ) |
Enable the datastore stub. The 'datastore_file' argument can be the path to an existing datastore file, or None (default) to use an in-memory datastore that is initially empty. If you use the sqlite stub and have 'datastore_file' defined, changes you apply in a test will be written to the file. If you use the default datastore stub, changes are _not_ saved to disk unless you set save_changes=True. Note that you can only access those entities of the datastore file which have the same application ID associated with them as the test run. You can change the application ID for a test with setup_env(). Args: enable: True if the fake service should be enabled, False if real service should be disabled. datastore_file: Filename of a dev_appserver datastore file. use_sqlite: True to use the Sqlite stub, False (default) for file stub. auto_id_policy: How datastore stub assigns auto IDs. Either AUTO_ID_POLICY_SEQUENTIAL or AUTO_ID_POLICY_SCATTERED. stub_kw_args: Keyword arguments passed on to the service stub.
| def google.appengine.ext.testbed.Testbed.init_files_stub | ( | self, | |
enable = True |
|||
| ) |
Enable files api stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_images_stub | ( | self, | |
enable = True , |
|||
| stub_kwargs | |||
| ) |
Enable the images stub. The images service stub is only available in dev_appserver because it uses the PIL library. Args: enable: True, if the fake service should be enabled, False if real service should be disabled. stub_kwargs: Keyword arguments passed on to the service stub.
| def google.appengine.ext.testbed.Testbed.init_logservice_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the log service stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled. Raises: StubNotSupportedError: The logservice stub is unvailable.
| def google.appengine.ext.testbed.Testbed.init_mail_stub | ( | self, | |
enable = True , |
|||
| stub_kw_args | |||
| ) |
Enable the mail stub. The email service stub is only available in dev_appserver because it uses the subprocess module. Args: enable: True, if the fake service should be enabled, False if real service should be disabled. stub_kw_args: Keyword arguments passed on to the service stub.
| def google.appengine.ext.testbed.Testbed.init_memcache_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the memcache stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_modules_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the modules stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_search_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the search stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_taskqueue_stub | ( | self, | |
enable = True , |
|||
| stub_kw_args | |||
| ) |
Enable the taskqueue stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled. stub_kw_args: Keyword arguments passed on to the service stub.
| def google.appengine.ext.testbed.Testbed.init_urlfetch_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the urlfetch stub. The urlfetch service stub uses the urllib module to make requests. Because on appserver urllib also relies the urlfetch infrastructure, using this stub will have no effect. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.init_user_stub | ( | self, | |
enable = True , |
|||
| stub_kw_args | |||
| ) |
Enable the users stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled. stub_kw_args: Keyword arguments passed on to the service stub.
| def google.appengine.ext.testbed.Testbed.init_xmpp_stub | ( | self, | |
enable = True |
|||
| ) |
Enable the xmpp stub. Args: enable: True, if the fake service should be enabled, False if real service should be disabled.
| def google.appengine.ext.testbed.Testbed.setup_env | ( | self, | |
overwrite = False , |
|||
| kwargs | |||
| ) |
Set up environment variables. Sets default and custom environment variables. By default, all the items in DEFAULT_ENVIRONMENT will be created without being specified. To set a value other than the default, or to pass a custom environment variable, pass a corresponding keyword argument: testbed_instance.setup_env() # All defaults. testbed_instance.setup_env(auth_domain='custom') # All defaults, overriding # AUTH_DOMAIN. testbed_instance.setup_env(custom='foo') # All defaults, plus a custom # os.environ['CUSTOM'] = 'foo'. To overwrite values set by a previous invocation, pass overwrite=True. This will not result in an OVERWRITE entry in os.environ. Args: overwrite: boolean. Whether to overwrite items with corresponding entries in os.environ. **kwargs: environment variables to set. The name of the argument will be uppercased and used as a key in os.environ.


{% if entry %}
diffuse albedo
diffuse direct illumination
diffuse indirect illumination
gloss albedo
gloss direct illumination
gloss indirect illumination
transparent albedo
transparent direct illumination
transparent indirect illumination
environment
emitter
depth
normal
No synthetic decomposition available.


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'It's replayed every day': Eddie Jones reveals his World Cup final mistake
by Online EditorsDevastated England coach Eddie Jones says he made selection mistakes for the rugby World Cup final.
The high profile Jones said he should have reinvigorated his team for the clash against South Africa in Tokyo, after the stunning semifinal win over the All Blacks.
“I haven’t watched it and I probably won’t watch it,” the Australian told the Telegraph.
Continue reading below….
“It’s replayed every day. Every time I wake up the World Cup is there in front of me.
“But I know in my head where we could have probably made improvements.
“One of the areas was that I probably made a mistake in terms of selection. That’s all with the benefit of hindsight, but I should probably have refreshed the team for the final.
“Apart from that, it was one of those days. Sometimes they start the game brilliantly and things come off for them.
 That’s the reality of it – we just came unstuck.”
Jones is staying on for at least two more years – that’s when his current contract concludes – and says he will immediately make selections with the development of the next World Cup team in mind.
The tournament review will be concluded this week, and former All Black coach John Mitchell is expected to stay on as an assistant.
Jones, a former Springboks assistant coach, said there was one silver lining to England’s World Cup final disaster.
“I’m so pleased for those South African players,” he said.
“You can see what a galvanising effect it’s had on the country. That dampens the hardship a bit.”
This article first appeared on nzherald.co.nz and was republished with permission.
In other news:


A link to a WebPage
The most important attribute of the <a> element is the href attribute, which indicates the link's destination.
| Attribute | Value | Description |
|---|---|---|
| charset | char_encoding | Not supported in HTML5. Specifies the character-set of a linked document |
| coords | coordinates | Not supported in HTML5. Specifies the coordinates of a link |
| download | filename | Specifies that the target will be downloaded when a user clicks on the hyperlink |
| href | URL | Specifies the URL of the page the link goes to |
| hreflang | language_code | Specifies the language of the linked document |
| media | media_query | Specifies what media/device the linked document is optimized for |


WITNESS LIST Urban Affairs Committee April 4, 2001-2:00P HB 829 Registering, but not testifying: On: Storment, Scott (Secretary of State Henry Cuellar) HB 990 For: Captain, Myrtle (Self and Texas NAACP) On: Bibler, Paul (City of Houston) HB 1096 Registering, but not testifying: For: Grace, Cary (City of Houston) Villarreal, Johnny (Houston Fire Fighters Local 341) HB 1912 For: Borel, Dennis (Coalition of Texans with Disabilities) Neal, Samuel (Self and City of Corpus Christi) Paniagua, Joe (Fort Worth City Council) Registering, but not testifying: For: Campbell, Jim (City of San Antonio) Grace, Cary (City of Houston) Hrncir, John (City of Austin) Igo, Shanna (Texas Municipal League) Lyons, Crystal (Self) Marshall, Susan (The Arc of Texas) Talerico, Jeanne (Texas Association of Local Housing Finance Agencies) HB 1957 For: Bailey, Ken (Self and Texas State Association of Fire Fighters) Registering, but not testifying: For: Heaton, Chris (Texas Municipal Police Association) Herron, Morgan (Tyler Fire Fighters) Villarreal, Johnny (Houston Fire Fighters Local 341) York, Bob (Wichita Falls Fire Fighters Association) HB 2321 Registering, but not testifying: On: Bibler, Paul (City of Houston) HB 2384 For: Barr, Mayor Kenneth (Fort Worth City Council) Kerr, John (Fort Worth Police Officers' Association) On: Wilkison, Charley (Combined Law Enforcement Associations of Texas) Registering, but not testifying: For: Hendricks, Ray (Austin African American Fire Fighters Association) Tate, James (Fort Worth Black Fire Fighters/Texas Coalition of African American Fire Fighters) On: Sanders, Stephen (Self and Texas State Lodge Fraternal Order of Police) HB 2536 For: Henson, Scott (ACLU) Registering, but not testifying: On: Sanders, Stephen (Self and Texas State Lodge Fraternal Order of Police) HB 2677 Registering, but not testifying: For: Grace, Cary (City of Houston) Hinojosa, Walter (Texas AFL-CIO) Simpson, Dee (American Federation of State, County, and Municipal Employees) HB 3162 For: Cryan, Charles (City of College Station) HB 3193 For: Garza, Frank (City of San Antonio) Peak, Mayor Howard (City of San Antonio) HB 3206 For: Henneberger, John (Texas Low Income Housing Information Service) Registering, but not testifying: For: Talerico, Jeanne (Texas Association of Local Housing Finance Agencies) HB 3363 For: Peak, Mayor Howard (City of San Antonio) Stewart, Brent (Self and Trammell Crow Residential) Registering, but not testifying: For: Garvin, John (Texas Affiliation of Affordable Housing Providers) Mintz, David (Texas Apartment Association) Shogren, Naomi (City of San Antonio) Talerico, Jeanne (Texas Association of Local Housing Finance Agencies) HB 3412 For: Braziel, Melvin (San Antonio Housing Authority) Plummer, Jim (San Antonio Housing Authority) On: Fuchs, Fred (Self) Henneberger, John (Texas Low Income Housing Information Service) Mintz, David (Texas Apartment Association) HB 3413 For: Braziel, Melvin (San Antonio Housing Authority) On: Henneberger, John (Texas Low Income Housing Information Service) HB 3414 For: Braziel, Melvin (San Antonio Housing Authority) On: Henneberger, John (Texas Low Income Housing Information Service) HB 3538 Registering, but not testifying: For: Captain, Myrtle (Self and Texas NAACP) HB 3623 For: Mintz, David (Texas Apartment Association) Wittner, Thomas (Self) On: Croft, Hal (Texas General Land Office) SB 510 For: Lancaster, David (Texas Society of Architects) Nelson, Steve (Self and Associated General Contractors--Texas Building Branch) Registering, but not testifying: For: Bustillo, Freddie (Self and Associated General Contractors--Texas Building Branch) Igo, Shanna (Texas Municipal League) Kamm, Bob (Travis County Commissioners Court) Lee, Donald (Texas Conference of Urban Counties) Mendez, Mark (Tarrant County Commissioners Court) Stagner, Steve (Consulting Engineers Council) Velasquez, Sally (Hispanic Contractors Association) SB 738 Registering, but not testifying: For: Igo, Shanna (Texas Municipal League) Ivie Miller, Lisa (State Firemen's and Fire Marshal's Association of Texas)


Ataa Educational profits down 5%
ATAA
4292 -0.18% 27.75 -0.05
Riyadh – Mubasher: Ataa Educational Company reported a 5% year-on-year (YoY) decline in profits during the three-month period ending 31 October 2019.
Net profits after Zakat and tax amounted to SAR 16.25 million between August and October 2019, compared with SAR 17.12 million for the same period in 2018, according to the company’s statement to the Saudi Stock Exchange (Tadawul).
Profit per share reached SAR 0.41, down from SAR 0.43 per share for the corresponding period last year.
Revenues reached SAR 81.11 million, while the company’s total comprehensive income reached SAR 15.65 million.
Source: Mubasher Source: {{details.article.source}}


These all are activities I love to do on a regular basis.
Soccer is a team sport played between two teams of eleven players with a spherical ball.
Gardening is the practice of growing and cultivating plants as part of horticulture.


diddy
10-16-2009, 10:39 AM
Hi,
When I try to access the page setup through File/Page Setup, I get following error message:
java.awt.print.PrinterException: Invalid name of PrintService.
at sun.awt.windows.WPrinterJob.setNativePrintService(Native Method)
at sun.awt.windows.WPrinterJob.getPrintService(Unknown Source)
at sun.awt.windows.WPrinterJob.pageDialog(Unknown Source)
at org.pentaho.reporting.designer.core.actions.report.PageSetupAction.actionPerformed(PageSetupAction.java:66)
at javax.swing.AbstractButton.fireActionPerformed(Unknown Source)
at javax.swing.AbstractButton$Handler.actionPerformed(Unknown Source)
at javax.swing.DefaultButtonModel.fireActionPerformed(Unknown Source)
at javax.swing.DefaultButtonModel.setPressed(Unknown Source)
at javax.swing.AbstractButton.doClick(Unknown Source)
at javax.swing.plaf.basic.BasicMenuItemUI.doClick(Unknown Source)
at javax.swing.plaf.basic.BasicMenuItemUI$Handler.mouseReleased(Unknown Source)
at java.awt.Component.processMouseEvent(Unknown Source)
at javax.swing.JComponent.processMouseEvent(Unknown Source)
at java.awt.Component.processEvent(Unknown Source)
at java.awt.Container.processEvent(Unknown Source)
at java.awt.Component.dispatchEventImpl(Unknown Source)
at java.awt.Container.dispatchEventImpl(Unknown Source)
at java.awt.Component.dispatchEvent(Unknown Source)
at java.awt.LightweightDispatcher.retargetMouseEvent(Unknown Source)
at java.awt.LightweightDispatcher.processMouseEvent(Unknown Source)
at java.awt.LightweightDispatcher.dispatchEvent(Unknown Source)
at java.awt.Container.dispatchEventImpl(Unknown Source)
at java.awt.Window.dispatchEventImpl(Unknown Source)
at java.awt.Component.dispatchEvent(Unknown Source)
at java.awt.EventQueue.dispatchEvent(Unknown Source)
at java.awt.EventDispatchThread.pumpOneEventForFilters(Unknown Source)
at java.awt.EventDispatchThread.pumpEventsForFilter(Unknown Source)
at java.awt.EventDispatchThread.pumpEventsForHierarchy(Unknown Source)
at java.awt.EventDispatchThread.pumpEvents(Unknown Source)
at java.awt.EventDispatchThread.pumpEvents(Unknown Source)
at java.awt.EventDispatchThread.run(Unknown Source)
Is this a bug or is there something that I can do to solve this?
Thanks,
Diddy
When I try to access the page setup through File/Page Setup, I get following error message:
java.awt.print.PrinterException: Invalid name of PrintService.
at sun.awt.windows.WPrinterJob.setNativePrintService(Native Method)
at sun.awt.windows.WPrinterJob.getPrintService(Unknown Source)
at sun.awt.windows.WPrinterJob.pageDialog(Unknown Source)
at org.pentaho.reporting.designer.core.actions.report.PageSetupAction.actionPerformed(PageSetupAction.java:66)
at javax.swing.AbstractButton.fireActionPerformed(Unknown Source)
at javax.swing.AbstractButton$Handler.actionPerformed(Unknown Source)
at javax.swing.DefaultButtonModel.fireActionPerformed(Unknown Source)
at javax.swing.DefaultButtonModel.setPressed(Unknown Source)
at javax.swing.AbstractButton.doClick(Unknown Source)
at javax.swing.plaf.basic.BasicMenuItemUI.doClick(Unknown Source)
at javax.swing.plaf.basic.BasicMenuItemUI$Handler.mouseReleased(Unknown Source)
at java.awt.Component.processMouseEvent(Unknown Source)
at javax.swing.JComponent.processMouseEvent(Unknown Source)
at java.awt.Component.processEvent(Unknown Source)
at java.awt.Container.processEvent(Unknown Source)
at java.awt.Component.dispatchEventImpl(Unknown Source)
at java.awt.Container.dispatchEventImpl(Unknown Source)
at java.awt.Component.dispatchEvent(Unknown Source)
at java.awt.LightweightDispatcher.retargetMouseEvent(Unknown Source)
at java.awt.LightweightDispatcher.processMouseEvent(Unknown Source)
at java.awt.LightweightDispatcher.dispatchEvent(Unknown Source)
at java.awt.Container.dispatchEventImpl(Unknown Source)
at java.awt.Window.dispatchEventImpl(Unknown Source)
at java.awt.Component.dispatchEvent(Unknown Source)
at java.awt.EventQueue.dispatchEvent(Unknown Source)
at java.awt.EventDispatchThread.pumpOneEventForFilters(Unknown Source)
at java.awt.EventDispatchThread.pumpEventsForFilter(Unknown Source)
at java.awt.EventDispatchThread.pumpEventsForHierarchy(Unknown Source)
at java.awt.EventDispatchThread.pumpEvents(Unknown Source)
at java.awt.EventDispatchThread.pumpEvents(Unknown Source)
at java.awt.EventDispatchThread.run(Unknown Source)
Is this a bug or is there something that I can do to solve this?
Thanks,
Diddy


[§672B-2] Administration of chapter. The director shall be responsible for the implementation and administration of this chapter and shall adopt rules, in conformity with chapter 91, necessary for the purposes of this chapter. [L 2007, c 207, pt of §2]


Nguyen Quang HuyPhD in Computer ScienceI have moved to Formal Methods & Security Group (Schlumberger Advanced Research on Smartcards) |
Contact Address
Research Interests
Software
CV (and here is a printer-friendly version)
| Last Modified on May 2004 | Readlog |


When starting to work on a programming assignment, you discussed how you'd solve it with one of your friends, and you both decided to work on it together. Later, you realize that because you've been working together, you have very similar solutions. You can:
Discuss the situation with your friend and together, report yourselves to the Office of Academic Integrity for an Honor Code Violation
- Work with my friend to make our solutions more obviously different from each other
- Throw away my solution and start over from scratch so that I develop independent work
There are no hints for this question


Most applications need to communicate info (errors, warnings, ...) to the end user. With Notify you can do it in a unobstrusive and responsive way.
There are three type of notifications included with this component:
toast Opened in the corner you choose and 40% width.
bar Opened top or bottom and full width.
panel Opened left or right and full height.
Stashy.Notify(userOptions)
| Parameter | Type | Description |
|---|---|---|
| userOptions | object | The init options for each instance of Notify. Take a look to the userOptions table and explore the available stuff |
| Option | Type | Default | Description |
|---|---|---|---|
| target | string | body | The element target container, by default the "body" of the page |
| title | string | empty string | The element title |
| titleSize | int | 3 | Enter whatever value in the range 1..6.The title will be an HTML heading. This number will provide the heading size (h1, h2, h3, ...) |
| contentType | string | text |
It can be "inline" or "selector". If you select "inline", then the content property should be simple text or inline html On the other side, if you select "selector", you can provide any CSS selector to choose what to include in the notification. If your option is "selector" remember you can add the st-notify-content class to the content box you are going to include in the notification in order to hide it. |
| content | string | empty string | Simple text, inline html or a CSS selector |
| style | string | default | Changes the color of the notification. The allowed styles are "default", "error", "info", "success" and "warning" |
| animDuration | string | fast | "fast" or "slow" for a 1 sec or 2 sec animations |
| closeArea | string | button |
If you select "button" then a close button will be added to notification. If you choose "element" then the element itself will be clickable to closing it. |
| activeDuration | int | 0 | How long to display the notification for in milliseconds, zero will leave the notification displayed until the user closes manually. |
| Name | Description |
|---|---|
| toast(positionX, positionY,radius) | Create a toast style notification |
|
positionX: "right" or "left" positionY: "top" or "bottom" radius: Select true if you like rounded corners |
|
| bar(positionY) | Creates a bar style notification |
|
positionY: "top" or "bottom" |
|
| panel(positionX) | Creates a panel style notification |
|
positionX: "right" or "left" |
Stashy.Notify({ title : "My toast", content : "Toast style notification", titleSize : 4, style : "success", contentType : "text", animDuration : "fast", closeArea : "element" }).toast("right", "bottom", true); Stashy.Notify({ title : "My bar", content : "Bar style notification", titleSize : 1, style : "info", contentType : "html", animDuration : "slow", closeArea : "button" }).bar("top"); Stashy.Notify({ title : "My panel", content : "#whatever-element-in-the-page", titleSize : 2, style : "default", contentType : "html", animDuration : "fast", closeArea : "button", activeDuration : 5000 }).panel("right");
Ok, let´s go with the important part, so start choosing your options ans see what Notify can do for you :)
less
For using just this component, create a .less file similar to Stashy.less, include in order the following imports and compile:
Stashy.Variables.less Stashy.Mixins.less Stashy.Animate.less Stashy.Notify.lessJS
jQuery.js Stashy.Notify.js


I'm a game developer with a passion for UI Engineering. I am currently working as a UI Scripter at Infinity Ward where I've recently shipped my first AAA title, Call Of Duty: Modern Warfare!
I previously worked at Blizzard Entertainment, where I developed front-end web applications using React and WebGL. I've also consulted for AR/VR companies both within and outside the gaming industry, having been contracted to develop AR/VR applications for commercial, enterprise, and military training simulations. I graduated cum laude with a degree in Computer Science from California State Polytechnic University, Pomona (CPP) where I was President of the Game Design & Development Club and participated in tons of Hackathons with a few top 3 wins under my belt.
I absolutely LOVE my job and am dedicated to sharing my experiences and passion with others to help them succeed in the world of game development! I co-founded the Student Game Developer Alliance (SGDA), which inspires and enables hundreds of game development students to learn new skills and form connections. I also volunteer to improve my local Southern California game development community as an Events Coordinator on the IGDA Orange County Board.
My colleagues know me to be an inspired learner, collaborative, committed to quality, and innovative. I'm always eager to meet new people and explore interesting new projects. If you are interested in working with me to create epic user experiences I can't wait to hear from you!
The Ops Center is Blizzard's command center for live ops. I created this touchscreen web application for Blizzard events and tours to explain how the Ops Center team works and how they find and address live issues. The project's centerpiece is a 3D globe, an idea I came up with and prototyped during a company hackathon. The globe displays live Ops Center telemetry stats, including the geographic locations of players logging in to Blizzard games around the world.
Reign of Cthulhu is a crowd-funded game I developed for Wareplai. The demo I helped create played a significant role in the game's Kickstarter reaching 235% of its fundraising goal.
Reign of Cthulu is a native augmented reality multiplayer card game in development for mobile Android and iOS devices. It was designed by Diablo designer Paul Limon, one of the original 20 Blizzard employees. The game focuses heavily on story and immersing the player in the alternate reality world while providing a deep gameplay experience.
Red Dwarf is a Virtual Reality space shooter game developed for the HTC Vive. The player controls their spaceship from inside the cockpit, with immersive VR-emulated flightstick controls. The game plays in an arcade-style, with the objective being to reach the highest score possible before dying. Inspirations for the game include old school space-sims such as Freelancer and Elite Dangerous as well as roguelikes such as FTL.
Note: Supports both HTC Vive as well as keyboard/mouse controls.
View Gameplay Manual
InVRasion is an asynchronous multiplayer game that brings together keyboard/mouse and Virtual Reality players in an epic boss battle. An HTC Vive player plays as a giant alien mech, while up to 4 split-screen players play as different classes of super soldiers who must coordinate their attacks to defeat the alien threat before it destroys an objective. Inspirations for the game include Pacific Rim, Attack on Titan, and many popular VR games.
Note: Requires an HTC Vive to play.
Battle Of The Bards was created in just 24 hours at the HackPoly 2017 hackathon, winning 'Best Game Hack' and '2nd Place Overall' vs 71 competing projects.
A clash between the rhythm and RPG genres, Battle of the Bards lets you fight an RPG boss battle with the power of rock! Players control a party of characters and cast spells from a deck of cards by playing rhythm game segments with a guitar controller or keyboard. Their performance determines the effectiveness of their spells.
Note: Supports both USB Guitar Hero or Rock Band controllers as well as keyboard controls.
Elemental Fury was created in just 24 hours at the BeachHacks 2017 hackathon, winning '3rd Place Overall' vs. 38 competing projects.
Elemental Fury is a multiplayer Virtual Reality battle arena game created for the HTC Vive. Players use hand motions to control the elements of fire, earth, air, and water. They must use these abilities to knock opposing players out of the arena, the last player standing is the winner. My inspiration for the game concept was the animated series Avatar and the bender battles from its spinoff series, The Legend of Korra.
Augmented Realms is a project currently in development by my team from Cal Poly Pomona. We plan to release it as an open-source tool for creating tabletop RPG experiences in augmented reality!
Augmented Realms is an augmented reality application that allows multiple players to create, share, and interact with a game world over a live network. The app was designed specifically to enhance tabletop roleplaying games by providing players with a streamlined set of tools that allow for easier world building and character management, all the while immersing the player by breathing life into their game with a shared augmented reality experience.
Note: This version only supports keyboard & mouse controls controls.


Carlo Flores
Director, Development Operations
EdgeCast Networks
Ship product
a short romp through past shops
communication and telephony soluions for small-medium sized businesses
average customer has about 10 employees
employee 53
weakest engineer in the building
Support Engineer Team Lead, Support and Operations Team Lead, Sr. Support and Operations Systems Administrator
1 product
First month we closed $1M in recurring revenue
4 products
$10M on average every month
shops get big
old talent leaves
nothing lasts forever
Alumni at RackSpace, Facebook, AT&T, Machinima, Magento, ICANN, M-GO, DreamHost, and tons of young startups
well funded social network looking to connect people and experiences
delivered tons of products and proof of concepts
$0 revenue
Backend services so you can build an awesome app faster
in ~6 months:
designed and implemented viable product
Front page of Hacker News (twice)
Covered in TechCrunch
$0 revenue
Alumni at Amazon, Google, OK Cupid Labs, GitHub, Yelp, Bloomberg
We help large scale sites manage traffic demands. We hold 5% of the Internet.
"$50-100M" in annual revenue
Fastest growing core Internet company in America, per Deloitte
Fastest growing company in Los Angeles, per Deloitte
Core Engineering:
2 Project Managers, 3 Product Managers, 2 Directors, C-Levels
9 separate teams ("Pods")
Repeats for Customer Interface, QA, Systems, Networking, Support... Engineering
from the perspective of an Engineer
Waterfall
Agile
find a group of people who feel accountable to each other and themselves
Communication
smart without social skills < smart with social skills
really smart people don't think they know everything
great engineers talk about their problems
great engineers stay curious
great problems haven't been solved yet
great people care
time to fail
Don't plan for the next year
no one has done what we're doing before
Plan for the next 3 months
with enough talent and motivation, there isn't a problem we can't dent or solve in 3 months
Execute over 1 or 2 week iterations
Talk every day
Don't have meetings everyday
Do have meetings
build temporary walls and let your developers develop for a while
Run a flat organization
Ship your shit
Thank you


Job Title: {{ job_title }}
Hourly Rate: ${{ hourly_rate }}
Projected salary (w/o overtime): ${{ projected }}


|
libfly
6.2.2
C++20 utility library for Linux, macOS, and Windows
|
#include <types.hpp>
Public Member Functions | |
| HuffmanNode () noexcept | |
| HuffmanNode & | operator= (HuffmanNode &&node) noexcept |
| void | become_symbol (symbol_type symbol, frequency_type frequency) |
| void | become_intermediate (HuffmanNode *left, HuffmanNode *right) |
Public Attributes | |
| symbol_type | m_symbol |
| frequency_type | m_frequency |
| HuffmanNode * | m_left |
| HuffmanNode * | m_right |
Struct to store data for a single node in a Huffman tree. Huffman trees are binary trees. A node represents either a symbol from the input stream and its frequency, or the node is a junction storing the sum total of the frequencies of each node in its subtree.
|
noexcept |
Default constructor. Set all fields to zero/null.
| void fly::coders::HuffmanNode::become_intermediate | ( | HuffmanNode * | left, |
| HuffmanNode * | right | ||
| ) |
Change this node to represent an intermediate, non-symbol. Its frequency is set to the sum of its children's frequencies.
| left | Pointer to the intermediate's left child. |
| right | Pointer to the intermediate's right child. |
| void fly::coders::HuffmanNode::become_symbol | ( | symbol_type | symbol, |
| frequency_type | frequency | ||
| ) |
Change this node to represent a symbol from the input stream.
| symbol | The symbol from the input stream. |
| frequency | The frequency of the symbol in the input stream. |
|
noexcept |
Move assignment operator. Move all member variables from the given HuffmanNode instance into this instance.
| node | The HuffmanNode instance to move. |


Online Help
- 1) General architecture of SOTF
- 1.1) Node
- 1.2) Station
- 1.3) Metadata
- 1.4) Portals
- 2) Interface Overview
- 3) Registration / Preferences
- 4) The Search Engine
- 4.1) Easy Search
- 4.2) Search for Content of Stations
- 4.3) Search for Topics
- 4.4.) Advanced Search Engine
- 4.4.1) How queries work
- 4.4.2) Create a new query
- 5) The Programme Interface
- 5.1) The content of a programme
- 5.2) Feedback and Statistics
- 6) My Playlist
- 7) RSS and Podcast
- 8) Stations in the Network
- 9) Topics
- 10) Editor's Console
1) General architecture of StreamOnTheFly
1.1) Node
A node is the main service provider in the StreamOnTheFly network. It is basically
a digital library, enhanced by streaming and other radio-centered functionalities.
A node:
- archives radio shows
- provides transparent search facilities in the node network
- provides streaming and remote streaming facilities for listeners
- collects feedback and statistics on radio shows
- cooperates with other nodes and portals
Nodes are transparently organized into a etwork. All nodes have metadata about
all radio shows and stations in the network. Nodes communicate with each other
to keep their local database up-to-date.
1.2) Station
A station is archived at a single node, while it is searchable and browseable
by all nodes in the network. Each station has admins and editors. Admins may
change logos and jingles and manage all data, while editors can upload shows
and manage their own data.
1.3) Metadata
For each radio show a set of metadata is required from the editors (title,
keywords, length, etc.). The set of metadata elements is to be agreed within
the radio community. A recommendation for XML-based storage and exchange of
these metadata has also been prepared, see
SOMA
and
XBMF.
1.4) Portals
Portals are loosely coupled with nodes. A portal can embed radio shows manually
or automatically into its content. Streaming of these shows is done by the node,
and feedback about the show is propagated back to the node. You can try out
all of these tools at our demo
site.
2) Interface Overview
The Interface of StreamOnTheFly is devided into five sections.
The Header:
In the top area of the interface, SOTF provides
you with the possibility to change the interface language. This setting does
not change the content language itself. It just changes the wording in the interface.
Right now one can choose between English, French, Hungarian, and German.
The Main Menu:
Below this section you find the main menu of
SOTF. Depending on your permissions, you get different menu items. (The possible
menu items and their functions are described below.)
Left Section:
This section is separated into 3 boxes: Login/Personal,
Statistics about the node network, My Playlist (if you created one), and the
contact data of the running node.
Middle Section:
In this area SOTF shows you the actual content
in a listing. You will see the last 10 entries of content.
´
Right Section:
Like the left part, the right area is divided
into boxes: first, you find a shortcut to the complex search engine; in the
second box you can choose between the stations connected to the node network
to get their content only. In the last box, SOTF displays the topic ontology
and shows you a number of programmes related to the topic.
Abb.: The SOTF main interface
3) Registration / Preferences
SOTF offers all users free registration for personalized features in the node
network. To reach the registration interface, click the 'register' link below
the login section (left) in the main interface. You will have to provide some
basic information:
|
Abb: Registration Form
|
The 'preferences' section is used for authenticated
users to change their personal settings. It offers the same options as the
registration form. Just click the 'Preferences' item in the main menu to
access this interface.
|
4) The Search Engine
SOTF provides you with several different searching tools. The search function
in the right section of the interface is a very basic version, but there is also
a very complex search engine with a graphical interface that allows you to generate
SQL statements by which you can search the database for relevant entries. SOTF
also allows you to search for topics and stations directly from the main interface.
4.1) Easy Search
In the right section of the main interface you will find a box marked “Search”.
Enter your search keywords here and choose a language to qualify the search
results. Of course you can also leave the language the way it is and search
without restrictions. In the image below you see the results of an easy search
for the keyword 'tabuk':
Abb:Easy search results
Inside the search results interface you can redefine your queries by displaying
the keywords you used. The results are displayed in pages with 10 items each.
You can switch between the pages in both directions.
4.2) Search for Content of Stations
The box marked as “Stations” is responsible for the station search
in the SOTF network. Choose a station, and for a result you will get all data
about this station, the provided series, and all programmes related to this
station. As usual, the result items are displayed in pages with 10 items.
4.3) Search for Topics
SOTF provides a general ontology to categorise and organise programmes. For
a fast search on topics you can just click on one of the main-topics in the
right section of the main interface. The number in brackets states the amount
of programmes related to one of the chosen sub-topics. If you mouseclick on
one of the main topics listed in this box, you will get an interface with the
sub-topics and the programmes directly related to the main topic. The interface
creates a frameset to display the results and the available topics in one.
Abb:Results from Topic Search
In the left section of the interface you see the entire listing of topics currently
available. At the top end of this listing you can choose the topics you want.
Click the [x] to switch back to frameless view. In the right section you see
the main topic you have chosen and all sub-topics related to it. In brackets
you see the number of programmes associated with this sub-topic. Click on an
entry to get a list of relevant programmes.
4.4) Advanced Search Engine
You access the advanced search engine by a mouseclick on “search”
in the main menu. This interface provides you with a way to create a complex
SQL (structured query language) statement to run it against the node network.
You can redefine, store, and manage all the queries you created.
Abb: Advanced Search Engine
4.4.1) How queries work
This is the most complex part of the SOTF interface, and it contains a lot
of technical terms. However, it should be easy to go through this page if you
are generally familiar with the terminology, syntax, and basic functions of
SQL.
In the first part you see the actual query for this search. You can add and
remove directives using the '+' and the '-' button. The search displayed in
this example would do the following:
First, it would collect all programmes related to the genre 'Music'. The next
statement is connected to this result and adds a new clause using 'AND'. There
are two ways to connect the statements: 'AND' and 'OR'. The connector AND would
mean that both clauses needs to be true. OR would mean that any one of the connected
statements needs to be true. Next in the example is the entry date. As you see,
there are two statements under this name without connector. In the SOTF interface,
OR is not displayed! The search would include all items with an entry date "2004-07-17"
or "2004-07-22". In addition, the abstract of the item needs to contain
the keywords 'interview' and 'tarbuk'. At the end of the query, one would get
a result including all programmes where this query has "true" for
a result.
4.4.2) Create a new query
On starting a new query you see 'Your query is empty' in the top section. Below
you have three boxes:
| Add term to the query |
|
|
The first (left) box is used to add a new term to the query
or to create a new query. The terms AND and OR are the logical connectors
between your statements. Choose the field you want to search and add it
to your query using the AND or OR statement. |
| Run query |
|
|
In the second (middle) box you can set choose two of the
available terms by which to sort the results. Desc stands for "descending".
The default sorting order is ascending. |
| Manage your queries |
|
|
In the third (right) box you can manage your queries. You
can save the query by a given name and reload it later. You can set a query
as default to get the results displayed when you return to the node network. |
5) The Programme Interface
As we have seen, you can access the programmes by different ways. You can search
using different search engines or you can just click on the programme items
on the start page. In the interface of a programme you get all the meta-information,
some additional data such as images, documents, and links, and the actual content
itself. Here you can also upload the programme to your personal SOTF portal
or add it to your playlist. You can also access feedback and statistics relevant
to the programme. Most of this interface should be self-explanatory.
5.1) The content of a programme
This is the content section of a programme. SOTF offers different quality levels
on all programmes (depending on configuration). You can download the files or
directly add them to the playlist of your mp3/ogg player. Depending on the configuration,
the node creates mp3 or/and ogg files. In the listing you see the quality level,
the type, and the duration of the file.
5.2) Feedback and Statistics
This is the last part in the programme interface. You see the feedback and
statistics about the files. You can rate this programme, put it into your playlist
and/or upload the programme to your portal.
Abb: Feedbacks and Statistics
6) My Playlist
This feature is very useful for users who want to listen to several audio files
at once. It is only available to registered users. As we have seen in the programme
interface, you can add programmes to your playlist. You get the results in the
left section of the main interface.
Abb: My Playlist
You will find the main information about the programmes in your playlist. The
interface provides you with links to the programme interface. We you click the
speaker symbol on the right, your local mp3 player should play the sound (depending
on your local settings). You can select several items and use the button 'play
selected' to send all the files to your player. Also, you can send the selected
items to your portal (if you have created one). You can change the order of
your playlist items using the 'Change Order' button. It offers you a popup window
in which you can move the items up and down according to your needs.
7) RSS and PODCAST
SOTF offers RSS Feeds and PODCAST structures for all content items and lists.
Just click on the link in the top right area of the interface. You can use this
feature to connect the SOTF node with other software such as RSS readers and
applications which are able to use RSS Feeds.
A special case of RSS is the PODCAST feature. This makes it possible to connect
SOTF series and programmes to the podcast network. Just click on the respective
links to get the RSS Feeds returned in your browser. You can use this links
for usage in other applications.
8) Stations in the Network
The Station is connected to a single node. Since SOTF is a node network, one
can browse and search all content coming from a certain station through all
other nodes in the network. A station has administrators and editors. Administrators
are able to edit metadata, upload logos and administrate all programmes of the
station. The editors are responsible for the programmes and are able to edit/upload
data for programmes.
The content of a station generally is structured in programmes and series. A
series (in these terms) is a format for programmes with changing but similar
content, usually broadcast at a specific time each day or week. A series links
individual programmes. (The format is defined by the broadcasting stations themselves
and must therefore not fit this description exactly). The actual programmes
in a series are the broadcastings (including audio files).
Click on 'Stations' in the main menu to get a list of all stations connected
to the node network. In the top section of this interface you can change the
order of the displayed stations and set filters on languages. Apart from these
possibilities you find the paging buttons. As usual, SOTF returns you 10 items
per page. You can scroll through the pages using this buttons.
In the result list you get a list of series connected to this station together
with some meta-information. The number in brackets states the number of programmes
included. Below the series you get the list of programmes. Again, you get ten
items displayed per page – please browse through the pages to get a full
overview.
9) Topics
Click on 'Topics' in the main menu to get a full list of topics and their related
programmes.
Topics in SOTF are a sort of ontology to structure programmes by their content.
There are two subject trees available: 'SOTF general topic tree' and 'SOMA metadata
version 1'.
As we have already seen in the search section of this document, you get a split
interface. In the left section you see the topic tree with all sub-topics and
the number of related programmes. In the right part you get a list of sub-topics.
When you click the sub-topics, SOTF returns you a list of related programmes.
how to search for topics
10) Editor's Console
In the Editor´s Console station editors can upload files per FTP or HTTP, and add appropriate metadata.
UPLOAD VIA FTP:
Much faster than HTTP - Upload, but needs an extra client, like SmartFTP (
download).
Another advantage is the resumability of uploads.
To access your personal SOTF directory, use the URL of your node and type in your personal access data in the FTP client.
UPLOAD VIA HTTP:(use link "Manage your files")
Comfortable web interface for adding and deleting files (no extra software required), but may cause problems when transferring larger files.
Abb: Create new programme / file upload


I'm a member of Rotaract club of DPSRU which is part of Rotaract International.
Under this government initative I volunteered several work programs organised nation wide.
Under DIIF initiative I've participated in development of several in house projects in my campus.
Contact me via email & telegram.
For email click here! For telegram click here!


Data scraping
Data scraping is a new
cool
course for economists who want to have cutting-edge IT skills.
First name*
Last name*
Email*


HEARTH PIZZA
A Pacific NW take on traditional woodfired pizza
Portland - Oregon
Order form:
Choose one or more toppings ($1 each):
Burratta
Mozzarella
Basil
Sausage
Kale
Olives
Choose a size:
Small: 10"
Medium: 12"
Large: 14"
Delivery address:
Your name:
Street:
City:
ZIP:
Place order!
Order receipt


Liftoff is an opinionated boilerplate you can use to Meteor project off the ground super fast. Liftoff is open source under the MIT license.
Liftoff consists of blaze, semantic:ui, useraccounts:semantic-ui, kadira:flow-router, kadira:blaze-layout, zimme:active-route, arillo:flow-router-helpers, aldeed:autoform, aldeed:simple-schema, aldeed:collection2, and okgrow:router-autoscroll.
Our intent is to give you a lauch point with some boilerplate things working. You can learn by example and get your project moving immediately with some good default choices.
Some Programmer CTO Some Company
Liftoff's goal is to provide you with a set of core examples of the key concepts of building a Meteor app. Currently we have an examples of simple-schema, an insert autoform, pub/sub, and allow/deny.
Get StartedHave something to add? Open an issue or make a pull request! We're interested in adding examples from a wide variety of common use cases in Meteor apps.
Get Started


In short, Blend4Web is an open source framework for creating 3D web applications. It uses Blender – the popular open source 3D modeling suite – as the primary authoring tool. 3D graphics is rendered by means of WebGL which is also an open standard technology. The two main keywords here – Blender and Web(GL) – explain the purpose of this engine perfectly. The full source code of Blend4Web together with some usage examples is available under GPLv3 on GitHub (there is also a commercial licensing option).
On June the 2nd Apple presented their new operating systems – OS X Yosemite and iOS 8 – both featuring WebGL support in their Safari browser. That marked the end of a 5 year cycle during which the WebGL technology has been evolving, starting with the first unstable browser builds (if anybody remembers Firefox 3.7 alpha?). Now, all the major browsers on all desktop and mobile systems support this open standard for rendering 3D graphics, everywhere, without any plugins. That was a long and difficult road, along which Blend4Web development has been following WebGL development as a shadow. Broken rendering, tab crashes, security “warnings” from some big guys, unavailability in public browser builds, all sorts of fears, uncertainty and doubts. All this didn’t matter, because we have the opportunity to do 3D graphics (and sound) in browsers!
The first Blender 2.5x builds appeared in summer 2010. At the time we, the programming geeks, were pushed to learn the basics of 3D modeling by the beautiful Sintel from the open source movie of the same name. After choosing Blender, we could be as independent as possible, with a full open source pipeline organized on a Linux platform. Blender gave us the power to make our own 3D scenes, and later helped to attract talanted artists from its wonderful community to join us.
Our demo scenes matured together with the development of Blend4Web. The first one was a quite low-poly and almost non-interactive demo called The Island. It was created in 2011 and polished a bit before the public release. In this demo we introduced our Blender-based pipeline in which all the assets are stored in separate files and are linked into the main file for level design and further exporting (for this reason some of Blend4Web users call it “free Unity Pro”).
In Fashion Show we developed cloth animation techniques. Some post-processing effects, dynamic reflection and particle systems were added later. After Blend4Web has gone public we summarized these cloth-releated tricks in one of our tutorials.
The Farm is a huge scene (in the scale of a browser): over 25 hectares of land, buildings, animated animals and foliage. We added some gamedev elements into it, including the ability of first-person walking, interacting with objects, driving a vehicle. The demo features spatial audio (via Web Audio) and physics (via Bullet and Asm.js). The Freedesktop folks tried it as a benchmark while testing the Mesa drivers (and got “massive crashes” :).
We also tried some visualization and created Nature Morte. In this scene we used carefully crafted textures and materials, as well as post-processing effects to improve realism. However, the technology used for this demo was quite simple and old-school, as we had no support for visual shader editing yet.
Things have changed when Blender’s node materials have become available to our artists. They created over 40 different materials for the Sports Car model: chromed metal, painted metal, glass, rubber, leather etc.
In our latest release we stepped even further by adding support for the animation control by the user. Now interactivity can be implemented without any coding. In order to demonstrate the new opening possibilities we presented interactive infographic of a light helicopter.
Among the other possible applications of this simple yet effective tool (called NLA Script) we can list the following: interactive 3D web design, product promotions, learning materials, cartoons with the ability to choose between different story lines, point-and-click games and any other applications previously created with Flash.
It is very easy to start using Blend4Web – just download and install the Blender addon as shown in this video tutorial:
Programming 3D web apps with Blend4Web is not much harder than building average RIAs. Unlike some other WebGL frameworks in the wild we tried to offload all graphics, animation and audio tasks to respective professionals. The programmer just loads the scene…
var m_data = require("data");
m_data.load("example.json", load_cb);
var m_scenes = require("scenes");
var m_anim = require("animation");
var myobj = m_scenes.pick_object(event.clientX, event.clientY);
m_anim.apply_def(myobj);
m_anim.play(myobj);
All material above was reference from Hacks Mozilla


Grammarly Dark
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Submit issues


The Split Wave Point Plot drawer splits the graphic in two, with the upper half being a plot of points defined by time and a range of values. The following example shows the calculated pitch at each point in time.
Set the renderer
option to SplitWavePointPlot
and the plotFileUrl
to the file containing the time aligned data.
var wavesurfer = WaveSurfer.create({
container: document.querySelector('#wave'),
renderer: 'SplitWavePointPlot',
plotFileUrl: 'data.txt'
});
The data to be graphed can be provided by either providing a file defined in the plotFileUrl
or by passing in an array of data in the plotArray
option. The time data does not need to be continous and can have gaps.
plotTimeEnd
to the total duration of the sound file or the points may not be aligned correctly
If providing data by loading a file, each line of the file must contain two elements: the time and the value of the point separated by a delimiter (defaults to tab). E.g.
0.01 123
0.02 121
0.03 127
0.22 120
0.23 119
If providing data by a javascript array via the plotArray
option the array should have the following form:
[
{time: 0.02, value: 121},
{time: 0.03, value: 127},
{time: 0.22, value: 120},
{time: 0.03, value: 119}
]
The following additional options can be set when initializing wavesurfer to control the waveform
plotArray:
array of objects with time and plot (required unless plotFileUrl is set)plotFileUrl:
url of the file that contains the plot information (required unless plotArray is set)plotNormalizeTo:
[whole/segment/none/values] - what value to normalize the plot to (defaults to "whole")plotMin:
the minimum value to normalize points to. Any value below this will be ignored (defaults to 0)plotMax:
the maximum value to normalize points to. Any value above this will be ignored (defaults to 1)plotTimeStart:
the time included in the plot file which corresponds with the start of the displayed wave (defaults to 0)plotTimeEnd:
the time included in the plot file which corresponds with the end of the displayed wave (defaults maximum plot time)plotColor:
the color of the plot (defaults to #f63)plotProgressColor:
the color of the progress plot (defaults to '#F00')plotFileDelimiter:
the delimiter which separates the time from the value in the plot file (defaults to tab characater = "\t")plotPointHeight:
the canvas height of each plot point (defaults to 2)plotPointWidth:
the canvas width of each plot point (defaults to 2)plotSeparator:
boolean indicating a separator should be included between the wave and point plotplotRangeDisplay:
boolean indicating if the min and max range should be displayed (defaults to false)plotRangePrecision:
integer determining the precision of the displayed plot rangeplotRangeUnits:
units appended to the rangeplotRangeFontSize:
the font for displaying the range - defaults to 20plotRangeFontType:
the font type for displaying range - defaults to ArielplotRangeIgnoreOutliers:
boolean indicating if values outside of range should be ignored or plotted at min/max


Twelfth Night (1996) A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 7.5 Alternative Scale: *** out of ****
UK/US, 1996 U.S. Release Date: beginning 10/25/96 (limited) Running Length: 2:14 MPAA Classification: PG (Mature themes) Theatrical Aspect Ratio: 1.85:1
Cast: Helena Bonham Carter, Imogen Stubbs, Nigel Hawthorne, Richard E. Grant, Ben Kingsley, Mel Smith, Imelda Staunton, Toby Stephens, Steven Mackintosh, Nicholas Farrell Director: Trevor Nunn Producers: Stephen Evans, David Parfitt Screenplay: Trevor Nunn based on the play by William Shakespeare Cinematography: Clive Tickner Music: Shaun Davey U.S. Distributor: Fine Line Features
Move over, Jane Austen. Even with all the SENSE AND SENSIBILITYs, PRIDE AND PREJUDICEs, and EMMAs, the 19th century author is about to be passed by someone older and better-known: William Shakespeare. With the new influx of play-to-film adaptations, the market is absorbing no less than six Shakespeare films in thirteen months. It started with late 1995's OTHELLO and RICHARD III, and will now continue with LOOKING FOR RICHARD, TWELFTH NIGHT, ROMEO AND JULIET, and, in late December, Kenneth Branagh's much-anticipated HAMLET.
With TWELFTH NIGHT, director Trevor Nunn (LADY JANE) follows in Branagh's footsteps by adapting one of the comedies for the screen. However, while this picture doesn't have quite the same level of style or energy evident in MUCH ADO ABOUT NOTHING, solid performances and a lucid interpretation keep it afloat. And, because cuts have been made sparingly, this is one of the most faithful (at least as far as completeness is concerned) of the recent Shakespeare movies.
For some bizarre reason, Fine Line Features has decided to compare TWELFTH NIGHT to THE BIRDCAGE, THE ADVENTURES OF PRISCILLA, and TO WONG FOO, when about the only element all four have in common is cross- dressing. Anyone going into a British adaptation of Shakespeare expecting to see Nathan Lane cavorting around in drag is in for a rude surprise. That being said, however, at least TWELFTH NIGHT hasn't suffered from cinematic overexposure. None of the other filmed versions of this play are especially well-known.
TWELFTH NIGHT opens with a scene alluded to, but never presented in the original text. Twin siblings, Viola (Imogen Stubbs) and Sebastian (Steven Mackintosh), are aboard a ship that is wrecked off the coast of the imaginary country of Illyria. Although both characters escape the disaster, they are separated, and each believes the other to be dead. In order to survive more easily in a "man's world", Viola cuts her hair, glues on a fake mustache, and dresses in men's clothing. Going by the name of Cesario, she enters the service of a local Duke, Orsino (Toby Stephens). Orsino is madly in love with a young countess, Olivia (Helena Bonham Carter), who steadfastly refuses his advances. Orsino sends Viola to woo Olivia in his name. Olivia immediately falls for Viola/Cesario, while, at the same time, Viola realizes that she is in love with Orsino. And so the triangle is established.
A secondary story concerns the goings-on in Olivia's household, where the countess' frequently-drunk uncle, Sir Toby Belch (Mel Smith); her maid, Maria (Imelda Staunton); a foppish noble, Sir Andrew Aguecheek (Richard E. Grant); and an itinerant entertainer, Feste (Ben Kingsley), plot the downfall of Olivia's bad-tempered steward, Malvolio (Nigel Hawthorne).
TWELFTH NIGHT is chiefly about the similarities and differences between the sexes. By dressing Viola as a man, Shakespeare establishes an opportunity to explore through one character the different manners in which men and women approach the same situation, especially if it involves love. The play also addresses the deceptiveness of judging by appearance. After all, appearance, especially as it relates to identity, is an important aspect of TWELFTH NIGHT.
Veteran stage director Trevor Nunn, who spent more than two decades with the Royal Shakespeare Company, has attempted to modernize the play without changing its meaning. The era has been shifted from the 1600s to the 1800s, and, using the vibrant Cornish countryside, Nunn has opened up the previously-stagebound tale.
With TWELFTH NIGHT, as with any of the Bard's comedies, there's always a question of how well the humor will translate to a modern audience. Fortunately, in large part due to a wonderful comic turn by Nigel Hawthorne, the film offers plenty to laugh at. The finale, where all the mistaken identities are unraveled, is an example of how perfect timing can accentuate comedy.
The cast includes a number of accomplished performers, only three of whom -- Helena Bonham Carter (MARY SHELLEY'S FRANKENSTEIN), Nigel Hawthorne (THE MADNESS OF KING GEORGE), and Ben Kingsley (GANDHI) -- are likely to be recognized by the majority of American movie-goers. Bonham Carter, who is well-suited to comedy, sparkles, as does Imogen Stubbs (SENSE AND SENSIBILITY). Mel Smith is delightfully boisterous as the drunk and disorderly Sir Toby. The real standout, however, is Hawthorne, whose version of Malvolio can alternately provoke laughter and tug at the heart strings.
Shakespeare aficionados will probably be pleased that so much of the written word has made it to the screen, but the two-plus hour running length is a bit burdensome. Branagh's MUCH ADO ABOUT NOTHING can be criticized in many areas, but one of its great strengths is pacing -- a trait not shared by TWELFTH NIGHT, whose best comic moments all occur past the half-way point. Nevertheless, the slow spots are worth sitting through, because, as a whole, this is solid entertainment.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
"We go away from our parents in youth and then we gradually come back to them; and in that moment, we have grown up." -- Ingmar Bergman
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Whether it is a Pub, Bar, Restaurant or Caffè, having the right equipment in place is essential. It can make or break your place. Hence, you must be extraordinarily prudent in choosing the right and the most appropriate one as per your requirements and we can help you with that.
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The early mornings, the handcrafted dough, the smell of fresh-baked goods filling the air – there’s something universally appealing about starting your own bakery. Running a successful bakery takes more than a passion for baking, though. It also requires skill and the right pieces of restaurant equipment to get the job done right every day.
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If you need personal assistance and advice, give us a call or come to our store.
Opening a grocery store or supermarket can be an incredibly overwhelming process. Aside from the incredibly large quantity of front-end equipment needed, including check out and office equipment, there are a number of commercial pieces of equipment to sell, preserve, and store the tremendous amount of food that moves through a grocery store.
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Fitting a continuous function with linear parameterization in terms of the parameters \( \boldsymbol{\theta} \).
Regression modeling deals with the description of a response variable(s) \( y \) and how it varies as function of some predictor variable(s) \( x \). The first variable is also often called the dependent, or the outcome variable while the second one can be called the independent variable, or the explanatory variable. Note also that each of these might be a vector of variables, meaning that there could be more than one response variable and more than one predictor variable.
In general we will try to find a model \( M \) that corresponds to a function \( f_\theta(x) \) such that $$ y \approx f_\theta(x) $$ In linear regression the dependence on the model parameters is linear, and this fact will make it possible to find an analytical expression for the optimal set of model parameters (as we will see below).
When performing a regression analysis we will have access to a set of data \( \mathcal{D} \) that consists of:
The independent variables can be turned into a number of features, and the key to a successful regression analysis is to identify the most relevant features. In physics, these would correspond to a set of basis functions.
Assume that there are \( p \) features and we will use the (possibly confusing) notation
A regression analysis aims at finding the model parameters \( \theta \) of a specified model \( M \) such that the vector of errors \( \boldsymbol{\epsilon} \) is minimized. You might ask the very relevant question what is specifically meant by minimizing a vector, and you will find that this is often achieved by minimizing a cost function that has been introduced without much motivation. This function might also be called a loss function or an objective function.
Alternatively, we could introduce the likelihood function \( p(\boldsymbol{y} \vert \boldsymbol{x}, M(\theta)) \). It is the conditional distribution for the probability of making the observations \( \boldsymbol{y} \) given the independent variable \( \boldsymbol{x} \) and a model \( M \), where \( \boldsymbol{y} \) and \( \boldsymbol{x} \) are contained in our data set \( \mathcal{D} \). The parameters \( \theta \) that maximizes this likelihood function is then our optimal set. We will later discuss likelihood functions in much more detail.
Having access to this "optimal" model, we have extracted a relationship between \( \boldsymbol{y} \) and \( \boldsymbol{x} \) that we can exploit to infer causal dependencies, make predictions, and many other things.
The \( p \) explanatory variables for the \( n \) cases in the data set are normally represented by a matrix \( \mathbf{X} \). The matrix \( \mathbf{X} \) is called the design matrix.
In order to understand the relation among the predictors \( p \), the set of data \( \mathcal{D}_n \) and the target (outcome, output etc) \( \boldsymbol{y} \), consider the model we discussed for describing nuclear binding energies.
There we assumed that we could parametrize the data using a polynomial approximation based on the liquid drop model. Assuming $$ BE(A,N,Z) = a_0+a_1A+a_2A^{2/3}+a_3 Z^2 A^{-1/3}+a_4 (N-Z)^2 A^{-1}, $$ we have five features, that is the intercept (constant term, aka bias), the \( A \) dependent term, the \( A^{2/3} \) term and the \( Z^2 A^{-1/3} \) and \( (N-Z)^2 A^{-1} \) terms. Although the features are somewhat complicated functions of the independent variables \( A,N,Z \), we note that the \( p=5 \) regression parameters \( \theta = (a_0, a_1, a_2, a_3, a_4) \) enter linearly. Furthermore we have \( n \) cases. It means that our design matrix is a \( p\times n \) matrix \( \boldsymbol{X} \).
The perhaps simplest linear-regression approach is to assume we can parametrize our function in terms of a polynomial \( f(x) \) of degree \( p-1 \). I.e. $$ y(x_i)=f({x}_i)+\epsilon_i=\sum_{j=0}^{p-1} \theta_j x_i^j+\epsilon_i, $$ where \( \epsilon_i \) is the error in our approximation.
For every set of values \( y_i,x_i \) we have thus the corresponding set of equations $$ \begin{align*} y_0&=\theta_0+\theta_1x_0^1+\theta_2x_0^2+\dots+\theta_{p-1}x_0^{p-1}+\epsilon_0\\ y_1&=\theta_0+\theta_1x_1^1+\theta_2x_1^2+\dots+\theta_{p-1}x_1^{p-1}+\epsilon_1\\ y_2&=\theta_0+\theta_1x_2^1+\theta_2x_2^2+\dots+\theta_{p-1}x_2^{p-1}+\epsilon_2\\ \dots & \dots \\ y_{n-1}&=\theta_0+\theta_1x_{n-1}^1+\theta_2x_{n-1}^2+\dots+\theta_{p-1}x_{n-1}^{p-1}+\epsilon_{n-1}.\\ \end{align*} $$
Defining the vectors $$ \boldsymbol{y} = [y_0,y_1, y_2,\dots, y_{n-1}]^T, $$ and $$ \boldsymbol{\theta} = [\theta_0,\theta_1, \theta_2,\dots, \theta_{p-1}]^T, $$ and $$ \boldsymbol{\epsilon} = [\epsilon_0,\epsilon_1, \epsilon_2,\dots, \epsilon_{n-1}]^T, $$ and the design matrix $$ \boldsymbol{X}= \begin{bmatrix} 1& x_{0}^1 &x_{0}^2& \dots & \dots &x_{0}^{p-1}\\ 1& x_{1}^1 &x_{1}^2& \dots & \dots &x_{1}^{p-1}\\ 1& x_{2}^1 &x_{2}^2& \dots & \dots &x_{2}^{p-1}\\ \dots& \dots &\dots& \dots & \dots &\dots\\ 1& x_{n-1}^1 &x_{n-1}^2& \dots & \dots &x_{n-1}^{p-1}\\ \end{bmatrix} $$ we can rewrite our equations as $$ \boldsymbol{y} = \boldsymbol{X}\boldsymbol{\theta}+\boldsymbol{\epsilon}. $$ The above design matrix is called a Vandermonde matrix.
We are obviously not limited to the above polynomial expansions. We could replace the various powers of \( x \) with elements of Fourier series or instead of \( x_i^j \) we could have \( \cos{(j x_i)} \) or \( \sin{(j x_i)} \), or time series or other orthogonal functions. For every set of values \( y_i,x_i \) we can then generalize the equations to $$ \begin{align*} y_0&=\theta_0x_{00}+\theta_1x_{01}+\theta_2x_{02}+\dots+\theta_{p-1}x_{0p-1}+\epsilon_0\\ y_1&=\theta_0x_{10}+\theta_1x_{11}+\theta_2x_{12}+\dots+\theta_{p-1}x_{1p-1}+\epsilon_1\\ y_2&=\theta_0x_{20}+\theta_1x_{21}+\theta_2x_{22}+\dots+\theta_{p-1}x_{2p-1}+\epsilon_2\\ \dots & \dots \\ y_{i}&=\theta_0x_{i0}+\theta_1x_{i1}+\theta_2x_{i2}+\dots+\theta_{p-1}x_{ip-1}+\epsilon_i\\ \dots & \dots \\ y_{n-1}&=\theta_0x_{n-1,0}+\theta_1x_{n-1,2}+\theta_2x_{n-1,2}+\dots+\theta_{p-1}x_{n-1,p-1}+\epsilon_{n-1}.\\ \end{align*} $$
We redefine in turn the matrix \( \boldsymbol{X} \) as $$ \boldsymbol{X}= \begin{bmatrix} x_{00}& x_{01} &x_{02}& \dots & \dots &x_{0,p-1}\\ x_{10}& x_{11} &x_{12}& \dots & \dots &x_{1,p-1}\\ x_{20}& x_{21} &x_{22}& \dots & \dots &x_{2,p-1}\\ \dots& \dots &\dots& \dots & \dots &\dots\\ x_{n-1,0}& x_{n-1,1} &x_{n-1,2}& \dots & \dots &x_{n-1,p-1}\\ \end{bmatrix} $$ and without loss of generality we rewrite again our equations as $$ \boldsymbol{y} = \boldsymbol{X}\boldsymbol{\theta}+\boldsymbol{\epsilon}. $$ The left-hand side of this equation is kwown. The error vector \( \boldsymbol{\epsilon} \) and the parameter vector \( \boldsymbol{\theta} \) are unknown quantities. How can we obtain the optimal set of \( \theta_i \) values?
We have defined the matrix \( \boldsymbol{X} \) via the equations $$ \begin{align*} y_0&=\theta_0x_{00}+\theta_1x_{01}+\theta_2x_{02}+\dots+\theta_{p-1}x_{0p-1}+\epsilon_0\\ y_1&=\theta_0x_{10}+\theta_1x_{11}+\theta_2x_{12}+\dots+\theta_{p-1}x_{1p-1}+\epsilon_1\\ y_2&=\theta_0x_{20}+\theta_1x_{21}+\theta_2x_{22}+\dots+\theta_{p-1}x_{2p-1}+\epsilon_1\\ \dots & \dots \\ y_{i}&=\theta_0x_{i0}+\theta_1x_{i1}+\theta_2x_{i2}+\dots+\theta_{p-1}x_{ip-1}+\epsilon_1\\ \dots & \dots \\ y_{n-1}&=\theta_0x_{n-1,0}+\theta_1x_{n-1,2}+\theta_2x_{n-1,2}+\dots+\theta_{p-1}x_{n-1,p-1}+\epsilon_{n-1}.\\ \end{align*} $$
Note that the design matrix \( \boldsymbol{X}\in {\mathbb{R}}^{n\times p} \), with the predictors refering to the column numbers and the entries \( n \) being the row elements.
With the above we use the design matrix to define the approximation \( \boldsymbol{\tilde{y}} \) via the unknown quantity \( \boldsymbol{\theta} \) as $$ \boldsymbol{\tilde{y}}= \boldsymbol{X}\boldsymbol{\theta}, $$ and in order to find the optimal parameters \( \theta_i \) instead of solving the above linear algebra problem, we define a function which gives a measure of the spread between the values \( y_i \) (which represent hopefully the exact values) and the parameterized values \( \tilde{y}_i \), namely $$ C(\boldsymbol{\theta})=\frac{1}{n}\sum_{i=0}^{n-1}\left(y_i-\tilde{y}_i\right)^2=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{\tilde{y}}\right)^T\left(\boldsymbol{y}-\boldsymbol{\tilde{y}}\right)\right\}, $$ or using the matrix \( \boldsymbol{X} \) and in a more compact matrix-vector notation as $$ C(\boldsymbol{\theta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right)\right\}. $$ This function is one possible way to define the so-called cost function.
It is also common to define the cost function as $$ C(\boldsymbol{\theta})=\frac{1}{2n}\sum_{i=0}^{n-1}\left(y_i-\tilde{y}_i\right)^2, $$ since when taking the first derivative with respect to the unknown parameters \( \theta \), the factor of \( 2 \) cancels out.
The function $$ C(\boldsymbol{\theta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right)\right\}, $$ can be linked to the variance of the quantity \( y_i \) if we interpret the latter as the mean value. When linking (see the discussion below) with the maximum likelihood approach, we will indeed interpret \( y_i \) as a mean value $$ y_{i}=\langle y_i \rangle = \theta_0x_{i,0}+\theta_1x_{i,1}+\theta_2x_{i,2}+\dots+\theta_{n-1}x_{i,n-1}+\epsilon_i, $$
where \( \langle y_i \rangle \) is the mean value. Keep in mind also that till now we have treated \( y_i \) as the exact value. Normally, the response (dependent or outcome) variable \( y_i \) the outcome of a numerical experiment or another type of experiment and is thus only an approximation to the true value. It is then always accompanied by an error estimate, often limited to a statistical error estimate. For now, we will treat \( y_i \) as our exact value for the response variable.
In order to find the parameters \( \theta_i \) we will then minimize the spread of \( C(\boldsymbol{\theta}) \), that is we are going to solve the problem $$ {\displaystyle \min_{\boldsymbol{\theta}\in {\mathbb{R}}^{p}}}\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right)\right\}. $$ In practical terms it means we will require $$ \frac{\partial C(\boldsymbol{\theta})}{\partial \theta_j} = \frac{\partial }{\partial \theta_j}\left[ \frac{1}{n}\sum_{i=0}^{n-1}\left(y_i-\theta_0x_{i,0}-\theta_1x_{i,1}-\theta_2x_{i,2}-\dots-\theta_{n-1}x_{i,n-1}\right)^2\right]=0, $$ which results in $$ \frac{\partial C(\boldsymbol{\theta})}{\partial \theta_j} = -\frac{2}{n}\left[ \sum_{i=0}^{n-1}x_{ij}\left(y_i-\theta_0x_{i,0}-\theta_1x_{i,1}-\theta_2x_{i,2}-\dots-\theta_{n-1}x_{i,n-1}\right)\right]=0, $$ or in a matrix-vector form as $$ \frac{\partial C(\boldsymbol{\theta})}{\partial \boldsymbol{\theta}} = 0 = \boldsymbol{X}^T\left( \boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right). $$
We can rewrite $$ \frac{\partial C(\boldsymbol{\theta})}{\partial \boldsymbol{\theta}} = 0 = \boldsymbol{X}^T\left( \boldsymbol{y}-\boldsymbol{X}\boldsymbol{\theta}\right), $$ as $$ \boldsymbol{X}^T\boldsymbol{y} = \boldsymbol{X}^T\boldsymbol{X}\boldsymbol{\theta}, $$ and if the matrix \( \boldsymbol{X}^T\boldsymbol{X} \) is invertible we have the solution $$ \boldsymbol{\theta} =\left(\boldsymbol{X}^T\boldsymbol{X}\right)^{-1}\boldsymbol{X}^T\boldsymbol{y}. $$
We note also that since our design matrix is defined as \( \boldsymbol{X}\in {\mathbb{R}}^{n\times p} \), the product \( \boldsymbol{X}^T\boldsymbol{X} \in {\mathbb{R}}^{p\times p} \). In the liquid drop model example from the Intro lecture, we had \( p=5 \) (\( p \ll n \)) meaning that we end up with inverting a small \( 5\times 5 \) matrix. This is a rather common situation, in many cases we end up with low-dimensional matrices to invert, which allow for the usage of direct linear algebra methods such as LU decomposition or Singular Value Decomposition (SVD) for finding the inverse of the matrix \( \boldsymbol{X}^T\boldsymbol{X} \).
Small question: What kind of problems can we expect when inverting the matrix \( \boldsymbol{X}^T\boldsymbol{X} \)?
We can easily test our fit by computing various training scores. Several such measures are used in machine learning applications. First we have the Mean-Squared Error (MSE) $$ \mathrm{MSE}(\boldsymbol{\theta}) = \frac{1}{n} \sum_{i=1}^n \left( y_{\mathrm{data},i} - y_{\mathrm{model},i}(\boldsymbol{\theta}) \right)^2, $$ where we have \( n \) training data and our model is a function of the parameter vector \( \boldsymbol{\theta} \).
Furthermore, we have the mean absolute error (MAE) defined as. $$ \mathrm{MAE}(\boldsymbol{\theta}) = \frac{1}{n} \sum_{i=1}^n \left| y_{\mathrm{data},i} - y_{\mathrm{model},i}(\boldsymbol{\theta}) \right|, $$
And the \( R2 \) score, also known as coefficient of determination is $$ \mathrm{R2}(\boldsymbol{\theta}) = 1 - \frac{\sum_{i=1}^n \left( y_{\mathrm{data},i} - y_{\mathrm{model},i}(\boldsymbol{\theta}) \right)^2}{\sum_{i=1}^n \left( y_{\mathrm{data},i} - \bar{y}_\mathrm{model}(\boldsymbol{\theta}) \right)^2}, $$ where \( \bar{y}_\mathrm{model}(\boldsymbol{\theta}) = \frac{1}{n} \sum_{i=1}^n y_{\mathrm{model},i} (\boldsymbol{\theta}) \) is the mean of the model predictions.
Normally, the response (dependent or outcome) variable \( y_i \) is the outcome of a numerical experiment or another type of experiment and is thus only an approximation to the true value. It is then always accompanied by an error estimate, often limited to a statistical error estimate given by a standard deviation.
Introducing the standard deviation \( \sigma_i \) for each measurement \( y_i \) (assuming uncorrelated errors), we define the so called \( \chi^2 \) function as $$ \chi^2(\boldsymbol{\theta})=\frac{1}{n}\sum_{i=0}^{n-1}\frac{\left(y_i-\tilde{y}_i\right)^2}{\sigma_i^2}=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{\tilde{y}}\right)^T \boldsymbol{\Sigma}^{-1}\left(\boldsymbol{y}-\boldsymbol{\tilde{y}}\right)\right\}, $$ where the matrix \( \boldsymbol{\Sigma} \) is a diagonal \( n \times n \) matrix with \( \sigma_i^2 \) as matrix elements.
In order to find the parameters \( \theta_i \) we will then minimize the \( \chi^2(\boldsymbol{\theta}) \) function by requiring $$ \frac{\partial \chi^2(\boldsymbol{\theta})}{\partial \theta_j} = \frac{\partial }{\partial \theta_j}\left[ \frac{1}{n}\sum_{i=0}^{n-1}\left(\frac{y_i-\theta_0x_{i,0}-\theta_1x_{i,1}-\theta_2x_{i,2}-\dots-\theta_{n-1}x_{i,n-1}}{\sigma_i}\right)^2\right]=0, $$ which results in $$ \frac{\partial \chi^2(\boldsymbol{\theta})}{\partial \theta_j} = -\frac{2}{n}\left[ \sum_{i=0}^{n-1}\frac{x_{ij}}{\sigma_i}\left(\frac{y_i-\theta_0x_{i,0}-\theta_1x_{i,1}-\theta_2x_{i,2}-\dots-\theta_{n-1}x_{i,n-1}}{\sigma_i}\right)\right]=0, $$ or in a matrix-vector form as $$ \frac{\partial \chi^2(\boldsymbol{\theta})}{\partial \boldsymbol{\theta}} = 0 = \boldsymbol{A}^T\left( \boldsymbol{b}-\boldsymbol{A}\boldsymbol{\theta}\right). $$ where we have defined the matrix \( \boldsymbol{A} =\boldsymbol{X} \boldsymbol{\Sigma}^{-1/2} \) with matrix elements \( a_{ij} = x_{ij}/\sigma_i \) and the vector \( \boldsymbol{b} \) with elements \( b_i = y_i/\sigma_i \).
We can rewrite $$ \frac{\partial \chi^2(\boldsymbol{\theta})}{\partial \boldsymbol{\theta}} = 0 = \boldsymbol{A}^T\left( \boldsymbol{b}-\boldsymbol{A}\boldsymbol{\theta}\right), $$ as $$ \boldsymbol{A}^T\boldsymbol{b} = \boldsymbol{A}^T\boldsymbol{A}\boldsymbol{\theta}, $$ and if the matrix \( \boldsymbol{A}^T\boldsymbol{A} \) is invertible we have the solution $$ \boldsymbol{\theta} =\left(\boldsymbol{A}^T\boldsymbol{A}\right)^{-1}\boldsymbol{A}^T\boldsymbol{b}. $$
If we then introduce the matrix $$ \boldsymbol{H} = \left(\boldsymbol{A}^T\boldsymbol{A}\right)^{-1}, $$ we have then the following expression for the parameters \( \theta_j \) (the matrix elements of \( \boldsymbol{H} \) are \( h_{ij} \)) $$ \theta_j = \sum_{k=0}^{p-1}h_{jk}\sum_{i=0}^{n-1}\frac{y_i}{\sigma_i}\frac{x_{ik}}{\sigma_i} = \sum_{k=0}^{p-1}h_{jk}\sum_{i=0}^{n-1}b_ia_{ik} $$ We state without proof the expression for the uncertainty in the parameters \( \theta_j \) as (we leave this as an exercise) $$ \sigma^2(\theta_j) = \sum_{i=0}^{n-1}\sigma_i^2\left( \frac{\partial \theta_j}{\partial y_i}\right)^2, $$ resulting in $$ \sigma^2(\theta_j) = \left(\sum_{k=0}^{p-1}h_{jk}\sum_{i=0}^{n-1}a_{ik}\right)\left(\sum_{l=0}^{p-1}h_{jl}\sum_{m=0}^{n-1}a_{ml}\right) = h_{jj}! $$


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Documentation for Druid Library
Modules
| druid.back_handler | Component to handle back key (android, backspace) |
| druid.blocker | Component to block input on specify zone by node |
| druid.button | Component to handle basic GUI button |
| druid.drag | Component to handle drag action on node. |
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| druid.static_grid | Component to handle placing components by row and columns. |
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| druid.text | Component to handle all GUI texts. |
| component | Basic class for all Druid components. |
| druid | Druid UI Library. |
| druid_event | Lua event small library |
| druid.checkbox | Druid checkbox component |
| druid.checkbox_group | Checkbox group module |
| druid.dynamic_grid | Component to handle placing components in row |
| druid.input | Druid input text component. |
| druid.lang_text | Component to handle all GUI texts Good working with localization system |
| druid.progress | Basic progress bar component. |
| druid.radio_group | Radio group module |
| druid.slider | Druid slider component |
| druid.timer | Component to handle GUI timers. |
| druid.helper | Text node or icon node can be nil |
| druid_instance | Instance of Druid. |
Topics
| 01-components.md | |
| 02-creating_custom_components.md | |
| 03-styles.md | |
| 04-druid_assets.md | |
| 05-examples.md | |
| changelog.md | |
| faq.md | |
| README.md |


In GraphQL, it is possible to run multiple queries without needing to batch them together.
If batching is disabled, you could build a query composed of multiple aliases calling the same query or mutation, if the server is not analyzing the cost of the query, it will be possible to overwhelm the server's resources by using expensive queries using aliases.
Query Middleware is needed to identify the use of aliases in order to make a decision (reject/allow) based on your business logic.
Query Cost Analysis will be beneficial against these attacks, since each query will ultimately result in increased cost.


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`Chill Factor' – Lukewarm Entertainment by Homer Yen (c) 1999
The summer season for movies is fast approaching an end. As I think back about the summer offerings, there has been a dearth of the standard shoot-em and chase-em movies compared to last year. There were a fair share of comedies, a handful of mature dramas, and a stunning showing for scary films. But where were the standard staples of summer? The prototypical action flick was probably rarer this year because studios finally figured out that audiences are craving for movies that titillate the senses or tickle the funny bone. Gratefully, the standard shoot-em up fare is moving towards extinction. Perhaps these films will find their future as straight-to-video releases. Although `Chill Factor' is probably as competent as any other summery action film, this is also a film that you'll probably see at your neighborhood Blockbuster's within eight weeks.
In this film, the U.S. government has been secretly testing a chemical weapon that can evaporate human flesh within a matter of seconds. The problem is that scientists have been unable to control the energy of this chemical reaction. The only thing that they do know is that the chemical (which looks like blue, semi-gelatinous crystals) must be kept cold, less than 50 degrees. Otherwise, the chemical reaction would start. There's nothing as cleansing as a radioactive facial. If an enemy nation were able to get their hands on it, they could easily wage a destructive war guaranteeing themselves that their enemies will all dissolve into dust. There's an overly elaborate set-up to introduce us to the person that wants to steal and auction it off to the highest bidder (in this case, a vindictive former Army officer). With his band of hired mercenaries, they infiltrate a top secret research facility to make the theft.
The bandits are unsuccessful, and the chemicals wind up in the hands of two average citizens. One is Tom (Skeet Ulrich), a brooding guy who is overcome by a sudden wave of patriotism. He must deliver the chemicals to an Army base about a day's trip away. But he must keep the chemicals cold.  Arlo has nothing better to do with his life, and despite the fact that transporting the chemicals means almost-certain death, he grudgingly decides to help Tom.
What does sustain the film is Gooding's fun nature. There's a certain charm that he has when he yelps his dissatisfaction at their deteriorating situation. Another ongoing joke seems to be that Tom and Arlo can only flee using very unlikely getaway vehicles, including a beat-up ice cream truck and a UPS brown van. But with the villain hot on their trail, Tom and Arlo face a series of challenges in order to stay alive. Driving along a narrow ledge high atop a mountainside and tobogganing down the side of a mountain are just some of their wild getaways. And though they face such overwhelming odds at surviving, they still manage to buy ice along the way to keep the chemical cool. The movie is predictable and formulaic from beginning to end. It has its light moments (thanks to Gooding) and a relatively brisk pace, but beyond that, this film is about as exciting as the Vanilla in Arlo's ice cream truck.
Grade: C
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 But how do women really feel about Bitcoin?
Jessica Huseman Causes a Tweet Storm
Jessica Huseman, caused a tweetstorm when she gave out some unsolicited advice to her female followers.
All I’m saying ladies is that if he brings up bitcoin or blockchain unprompted in the first date there shouldn’t be a second.
Apparently, there are plenty of women who agree with her, replying with supporting GIFs and memes. And other comments like “I had one date who *only* talked about Bitcoin… that night could not end fast enough.”
It looks as if the contentious debate over how to encourage more women into blockchain is facing an uphill battle. According to a medium post, females currently make up about 5% of the entire cryptocurrency and blockchain industry.
Bobby Lee may be trying hard to make bitcoin more accessible to females by bringing out hardware wallets with no setup and giving them female-friendly names, but it may be falling on deaf ears.
Not All Women Dislike Bitcoin
Of course, the Twitter thread sparked a decent amount of backlash. Don’t worry guys, if bitcoin is your thing, it isn’t completely game over. Some women actually said they quite like it.
Most notably, bitcoin influencer and Host of N₿TV Naomi Brockwell, who simply replied: “we’re into very different types of men.”
Another female follower argued:
For me there would be a second, because I would probably mention it on the first. Some women actually find it interesting.
Others went even further to point out that this lack of appreciation for Bitcoin is why women don’t have an equal share of the wealth, and that it was “her loss.”
But she remained unpersuaded–and then made herself look even less informed by adding she also would date men who spoke about ‘whatever Facebook just made’.
Who Is Jessica Huseman, Anyway?
At this point, you may be wondering, who is Jessica Huseman, anyway? She’s an outspoken Texan reporter at ProPublica political news site with over 65,000 Twitter followers. And although she seems to hate Bitcoin, she appears to be an extremely intelligent lady and even teaches at the prestigious Columbia University.
According to her LinkedIn, she covers “voting rights and fair elections.” Somewhat ironic, then, that she should take such a stance against a technology repeatedly purported to be able to bring transparency to numerous voting processes. Or that she would be so closed off to hearing about an alternative financial system that benefits the very people she’s supposed to be helping.
Would you bring up Bitcoin on the first date? Add your thoughts below!
Images via Shutterstock, Twitter @JessicaHuseman
The Rundown


Source code for inout
"""
Routines related to text input/output
"""
import sys, os
def clear_stdout(lines = 1, stream = sys.stdout, flush = True):
[docs] """
Uses escape characters to move back number of lines and empty them
To write something on the empty lines, use :func:sys.stdout.write() and :func:sys.stdout.flush()
:param lines: the number of lines to clear
:param stream: by default, stdout is cleared, but this can be replaced by another stream that uses these \
escape characters (stderr comes to mind)
:param flush: by default, uses flush after writing, but canbe overriden if you will do it yourself soon after
"""
stream.write('\033[F\r\x1b[K' * lines)
if flush:
stream.flush()
def reprint(txt, lines = 1, stream = sys.stdout):
[docs] """
Removes lines from stdout and prints the requested text txt instead of them
:param txt: the text you want to print; works best if no more than `lines` lines
:param stream: see ``clear_stdout``
:param lines: the number of lines you want to use; \
this amount is cleared and if txt is shorter, the remainder is prepended
For example for status monitoring:
1. print N newlines
2. do something or check something until there is news
3. use ``reprint`` to print the as most N lines update using lines = N
4. repeat step 2 and 3 until task is done
5. if you want to remove the last status message, call clear_stdout using lines = N
"""
clear_stdout(lines = lines, flush = False)
line_count = len(txt.splitlines())
stream.write(
os.linesep * (lines - line_count) +
txt +
os.linesep
)
stream.flush()