Dawson
This page contains an index of all the individuals in the database with the surname of Dawson. Selecting the person’s name will take you to that person’s individual page.
| Given Name | Birth | Death | Partner | Parents |
|---|---|---|---|---|
| Ann | 1827-04-21 | 1849-04-20 | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth | |
| Ann | 2nd Qtr 1849 | Dawson, Thomas Smith, Susannah | ||
| Ann Elizabeth | 1st Qtr 1867 | 4th Qtr 1871 | Dawson, John (Master Builder) Northrop, Hannah | |
| Ann(e) | Utley, William | |||
| Annie | 1871 | Dawson, Jeremiah "Booth" (Master Grocer) Lickley, Mary | ||
| Annie Ada | 1894-12-26 | 1974-12-03 | MacCann, Peter Joseph | Dawson, John William (Builder) Ellis, Anne |
| Christina | 1892-09-07 | 1893-09-19 | Dawson, John William (Builder) Ellis, Anne | |
| Edith | 1887-09-19 | 1970-11-14 | Hutchinson, John (Teacher) | Dawson, John (Master Builder) Wellock, Jane |
| Edith Anne | 3rd Qtr 1892 | Dawson, Thomas Redmile, Lydia | ||
| Edwin | 1871-08-29 | 4th Qtr 1872 | Dawson, Leonard (Farmer) Cowling, Jane | |
| Edwin (Ned) | 1880-05-15 | about 1956 | Richardson, Violet | Dawson, Leonard (Farmer) Cowling, Jane |
| Eliza | 1866-06-00 | 1868-10-05 | Dawson, Jeremiah "Booth" (Master Grocer) Lickley, Mary | |
| Elizabeth, (2ndwifeJoseph Lambert) | 1829-07-16 | 1865-02-03 | Lambert, Joseph (Blacksmith) | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| Elizabeth | 1868-02-04 | 1868-06-00 | Dawson, Leonard (Farmer) Cowling, Jane | |
| Elizabeth | about 1918 | about 1918 | Dawson, Thomas (Carpenter&Joiner) Tyrrill, Mary Ellen Elizabeth | |
| Ellen | 1869-12-00 | Kirkby, John | Dawson, Jeremiah "Booth" (Master Grocer) Lickley, Mary | |
| Emma | 1887-02-14 | 1888-05-15 | Dawson, John William (Builder) Ellis, Anne | |
| Florence | 1883-01-10 | after 1940-08-00 | Emmott, Frederick | Dawson, Leonard (Farmer) Cowling, Jane |
| Florence Eva | 1889-09-21 | 1975-04-25 | Dawson, John William (Builder) Ellis, Anne | |
| Frances Isabel | 1902-02-14 | 1985-05-29 | Grist, Norman Henry | Dawson, John William (Builder) Ellis, Anne |
| Gaye Maree | 1956-05-24 | 2002-12-06 | Waters, [Living] | Dawson, Selwyn Ellis Wilkinson, Lena Loretta |
| George Redmile | 1st Qtr 1882 | Proudlove, Alice | Dawson, Thomas Redmile, Lydia | |
| Grace | 1844-04-17 | 1877-07-25 | Wilkinson, Isaac (Butcher) | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| Harold | West, [Living] | |||
| Harry Booth | 1st Qtr 1880 | Waite, Ada | Dawson, Jeremiah "Booth" (Master Grocer) Lickley, Mary | |
| Harry Ellis | 1897-09-12 | 1898-12-05 | Dawson, John William (Builder) Ellis, Anne | |
| Henry | 1864-08-26 | 1868-10-00 | Dawson, Leonard (Farmer) Cowling, Jane | |
| Henry | 1876-08-23 | 1881-10-00 | Dawson, Leonard (Farmer) Cowling, Jane | |
| Hubert Emmott | 4th Qtr 1888 | 1966-12-00 | Pollard, Margaret | Dawson, Thomas Redmile, Lydia |
| Ida Louise | 1887-06-00 | 1st Qtr | Beaumont, Albert | Dawson, William Cowling Burrows, Louisa |
| Jane Frances | 1848-01-13 | 1856-01-13 | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth | |
| Jane Frances | 1862-10-20 | 1940-08-17 | Dawson, Leonard (Farmer) Cowling, Jane | |
| Jennette | 1897-12-00 | Dawson, Leonard Booth Green, Margaret | ||
| Jeremiah | 1869-03-25 | Dawson, Leonard (Farmer) Cowling, Jane | ||
| Jeremiah “Booth”, (Master Grocer) | 1842-11-20 | 1898-12-17 | Lickley, Mary | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| Jeremiah Booth, ( Farmer) | 1799-01-15 | 1879-08-29 | Green, Elizabeth | Dawson, Thomas Booth, Mary |
| John, (Master Builder) | 1836-03-31 | 1922-02-24 | Northrop, Hannah, Wellock, Jane | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| John Henry (Jnr) | 1874-10-06 | 1919-08-11 | Watson, Charlotte Bronte | Dawson, John (Master Builder) Northrop, Hannah |
| John William, (Builder) | 1851-12-21 | 1920-05-19 | Ellis, Anne | Dawson, Thomas Smith, Susannah |
| Lena | 1865-12-25 | Lambert, Joseph | Dawson, Leonard (Farmer) Cowling, Jane | |
| Lena Beatrice | 1888-09-00 | ABT 1960/1961 | Jennings, Herbert | Dawson, William Cowling Burrows, Louisa |
| Leonard, (Farmer) | 1838-05-10 | 1888-03-13 | Cowling, Jane | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| Leonard | 1896-02-26 | 1942-05-25 | (??), Florence | Dawson, Leonard Booth Green, Margaret |
| Leonard Booth | 1874-05-03 | 1946-07-15 | Green, Margaret | Dawson, Leonard (Farmer) Cowling, Jane |
| Mabel Esther | 1906-08-29 | 1997-03-23 | Connor, Stephen James | Dawson, John William (Builder) Ellis, Anne |
| Margaret | 1850 | Inman, Thomas | ||
| Margaret | 1867 | 1891-09-26 | Dawson, Jeremiah "Booth" (Master Grocer) Lickley, Mary | |
| Margaret Elizabeth | 1914-02-06 | 1992-05-13 | Kitson, Wilfred Henry, Rimington, Leslie Rhodes | Dawson, John Henry (Jnr) Watson, Charlotte Bronte |
| Margaret Emma | 1840-06-12 | 1864-06-19 | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth | |
| Mary | 1799-12-02 | before 1804-12-00 | Dawson, Thomas Booth, Mary | |
| Mary | 1804-10-28 | Dawson, Thomas Booth, Mary | ||
| Mary | 1854-03-15 | 1926-05-12 | Bradley, Thomas | Dawson, Thomas Smith, Susannah |
| Mary Hannah, (1st wifeJoseph Lambert) | 1831-07-19 | 1853-08-30 | Lambert, Joseph (Blacksmith) | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| Mary Hannah | 1872-05-21 | Dawson, John (Master Builder) Northrop, Hannah | ||
| Mary Louise | 1906-04-01 | 1916-02-22 | Dawson, John Henry (Jnr) Watson, Charlotte Bronte | |
| Norman Edgar | Jul/Sep 1897 | 1917-10-22 | Dawson, Thomas Redmile, Lydia | |
| Peter | 1867-01-13 | 1938-04-24 | Inman, Edith Annie | Dawson, Leonard (Farmer) Cowling, Jane |
| Pollie | 1873 | Pollard, Cecil John | Dawson, Jeremiah "Booth" (Master Grocer) Lickley, Mary | |
| Roland | 4th Qtr 1894 | 1931 | Whewell, Maud | Dawson, Thomas Redmile, Lydia |
| Sarah | 1833-08-28 | 1854-06-22 | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth | |
| Selwyn, (Carpenter&Joiner) | 1891-01-08 | 1962-11-20 | West, Caroline Annie Leary | Dawson, John William (Builder) Ellis, Anne |
| Selwyn Ellis | 1918-11-25 | 2001-03-14 | Wilkinson, Lena Loretta | Dawson, Selwyn (Carpenter&Joiner) West, Caroline Annie Leary |
| Theresa Eveline | 1891-06-07 | 1997-03-00 | Dawson, Thomas Redmile, Lydia | |
| Thomas | about 1775 | Booth, Mary | ||
| Thomas | 1801-11-13 | Dawson, Thomas Booth, Mary | ||
| Thomas | 1825-05-23 | 1857-05-22 | Smith, Susannah | Dawson, Jeremiah Booth ( Farmer) Green, Elizabeth |
| Thomas | 1856-06-04 | Jul/Sep 1902 | Redmile, Lydia | Dawson, Thomas Smith, Susannah |
| Thomas, (Carpenter&Joiner) | 1888-05-25 | 1962-05-15 | Tyrrill, Mary Ellen Elizabeth | Dawson, John William (Builder) Ellis, Anne |
| Valerie Catherine | 1915-04-21 | 1986-05-29 | Beacom, [Living], Neligan, Maurice Edward | Dawson, Selwyn (Carpenter&Joiner) West, Caroline Annie Leary |
| Violet Richardson | 1903-07-31 | after 1940-08-00 | Whiteoak, Frank Buckley | Dawson, Edwin (Ned) Richardson, Violet |
| Walter | 1902-04-07 | Dawson, William Cowling Burrows, Louisa | ||
| Walter | 1903-04-00 | Dawson, Leonard Booth Green, Margaret | ||
| Walter Henry | 1889-09-01 | 1891-03-00 | Dawson, William Cowling Burrows, Louisa | |
| Wilfred Booth | 3rd Qtr 1883 | 4th Qtr 1968 | Metcalfe, Mary | Dawson, Thomas Redmile, Lydia |
| Wilfred Lawrence | 1895-07-15 | 1970-07-01 | Hudson, Hilda (Tilly) | Dawson, William Cowling Burrows, Louisa |
| William | 1808-07-27 | before 1809-11-05 | Dawson, Thomas Booth, Mary | |
| William | 1809 | Dawson, Thomas Booth, Mary | ||
| William | 1901-01-00 | Dawson, Leonard Booth Green, Margaret | ||
| William Cowling | 1861-07-17 | 1940-02-07 | Burrows, Louisa | Dawson, Leonard (Farmer) Cowling, Jane |
| Zenobia Zane Clare | 2nd Qtr 1885 | 2nd Qtr | Dawson, Thomas Redmile, Lydia | |
| [Living] | Preston, [Living], Coyte, [Living] | Dawson, Selwyn Ellis Wilkinson, Lena Loretta | ||
| [Living] | Houghton, Kevin John, Johnston, [Living] | Dawson, Selwyn Ellis Wilkinson, Lena Loretta | ||
| [Living] | Burns, [Living] | Dawson, Selwyn Ellis Wilkinson, Lena Loretta | ||
| [Living] | Cox, [Living], Petterson, [Living] | Dawson, Selwyn Ellis Wilkinson, Lena Loretta | ||
| [Living] | Hall, [Living], Wright, [Living] | Dawson, Selwyn Ellis Wilkinson, Lena Loretta | ||
| [Living] | Dawson, [Living] Hall, [Living] | |||
| [Living] | Balaam, [Living] | Dawson, [Living] Hall, [Living] | ||
| [Living] | Greller, [Living] | Dawson, [Living] Wright, [Living] | ||
| [Living] | Christopher, [Living] | Dawson, [Living] Burns, [Living] | ||
| [Living] | Dawson, [Living] Wright, [Living] | |||
| [Living] | Wood, [Living] | Dawson, [Living] Burns, [Living] | ||
| [Living] | Dawson, [Living] Preston, [Living] | |||
| [Living] | Dawson, [Living] Preston, [Living] | |||
| [Living] | Wood, [Living] Dawson, [Living] | |||
| [Living] | Wood, [Living] Dawson, [Living] | |||
| [Living] | McNee, [Living] | Wood, [Living] Dawson, [Living] | ||
| [Living] | Sullivan, Doris Jean | |||
| [Living] | Dawson, [Living] Sullivan, Doris Jean | |||
| [Living] | Dawson, [Living] Christopher, [Living] | |||
| [Living] | Lewis, [Living] | Dawson, [Living] Mackrill, [Living] | ||
| [Living] | Mackrill, [Living] | Dawson, Harry Booth Waite, Ada | ||
| [Living] | Cafferkey, [Living] | Dawson, [Living] Lewis, [Living] | ||
| [Living] | Dawson, [Living] Christopher, [Living] | |||
| [Living] | Dawson, [Living] Balaam, [Living] | |||
| [Living] | Dawson, [Living] Balaam, [Living] | |||
| [Living] | Dawson, Hubert Emmott Pollard, Margaret | |||
| [Living] | Dawson, Wilfred Booth Metcalfe, Mary |


In this challenge, you build an API and write custom middleware that satisfies the requirements listed under the Minimum Viable Product
section.
Read these instructions carefully. Understand exactly what is expected before starting.
You are allowed, and encouraged, to collaborate with other peers. Please follow the twenty-minute rule, before seeking support from your PM and Instructor.
<firstName-lastName>
.<firstName-lastName>
branch, committing changes regularly.<firstName-lastName>
.Follow these steps for completing your project.
middleware
functions, detailed below.users
.posts
for a user
and to store a new post
for a user
.logger()
logger
logs to the console the following information about each request: request method, request url, and a timestampvalidateUserId()
validateUserId
validates the user id on every request that expects a user id parameterid
parameter is valid, store that user object as req.user
id
parameter does not match any user id in the database, cancel the request and respond with status 400
and { message: "invalid user id" }
validateUser()
validateUser
validates the body
on a request to create a new userbody
is missing, cancel the request and respond with status 400
and { message: "missing user data" }
body
is missing the required name
field, cancel the request and respond with status 400
and { message: "missing required name field" }
validatePost()
validatePost
validates the body
on a request to create a new postbody
is missing, cancel the request and respond with status 400
and { message: "missing post data" }
body
is missing the required text
field, cancel the request and respond with status 400
and { message: "missing required text field" }
There are two helper files that you can use to manage the persistence of users and posts data. These files are users/userDb.js
and posts/postDb.js
. Both files publish the following api:
get()
: calling find returns a promise that resolves to an array of all the resources
contained in the database.getById()
: takes an id
as the argument and returns a promise that resolves to the resource
with that id if found.insert()
: calling insert passing it a resource
object will add it to the database and return the new resource
.update()
: accepts two arguments, the first is the id
of the resource
to update and the second is an object with the changes
to apply. It returns the count of updated records. If the count is 1 it means the record was updated correctly.[X] remove()
: the remove method accepts an id
as it’s first parameter and, upon successfully deleting the resource
from the database, returns the number of records deleted.
[X] The userDb.js
helper includes an extra method called getUserPosts()
that when passed a user’s id
, returns a list of all the posts
for the user
.
All helper methods return a promise.
The Database Schemas for the users
and posts
resources are:
| field | data type | metadata |
|---|---|---|
| id | unsigned integer | primary key, auto-increments, generated by database |
| name | string | required, unique |
| field | data type | metadata |
|---|---|---|
| id | unsigned integer | primary key, auto-increments, generated by database |
| text | text | required |
| user_id | unsigned integer | required, must be the id of an existing user |
We have provided test data for the resources.
posts/postRouter.js
create-react-app
to create an application inside the root folder, name it client
./api/users
endpoint in the API and show the list of users./users/:id
route to show the user details.


Julien Brillon
About
Projects
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Wanna get in touch? You can find me at any of these places...
And of course you can email me at


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appres - list X application resource database
appres [class [instance]] [-1] [-V] [toolkitoptions]
The appres program prints the resources seen by an application (or subhierarchy of an application) with the specified class and instance names. It can be used to determine which resources a particular program will load. For example,
% appres XTerm
will list the resources that any xterm program will load. If no application class is specified, the class -AppResTest- is used.
To match a particular instance name, specify an instance name explicitly after the class name, or use the normal Xt toolkit option. For example,
% appres XTerm myxterm
or
% appres XTerm -name myxterm
To list resources that match a subhierarchy of an application, specify hierarchical class and instance names. The number of class and instance components must be equal, and the instance name should not be specified with a toolkit option. For example,
% appres Xman.TopLevelShell.Form xman.topBox.form
will list the resources of widgets of xman topBox hierarchy. To list just the resources matching a specific level in the hierarchy, use the -1 option. For example,
% appres XTerm.VT100 xterm.vt100 -1
will list the resources matching the xterm vt100 widget.
The -V option prints the appres command version and exits.
Jim Fulton, MIT X Consortium


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UIComponent
This is the base class of all UI (view) components.
class UIComponent abstract
extends
Component
implements
UIRenderable
Represents a visible part of the user interface.
Note: This class should not be instantiated on its own. Instead, use one of the predefined UI components such as
UIButton
andUILabel
, or create your own view component using theViewComponent
class.
Constructor
(): UIComponent
.propagateComponentEvent() deprecated
(name: string, inner?:
ManagedEvent
, event?: any): void
Create and emit a UI event with given name and a reference to this component, as well as an optional platform event.
Deprecated: in v3.1.
.delegateEvent() protected
(e:
ManagedEvent
, propertyName: string): true
Override event delegation, to also propagate events of type UIComponentEvent
.
.render()
(callback: RenderCallback<Output<
UIRenderable
, any>>): void
Trigger asynchronous rendering for this component, and all contained components (if any). Rendered output is passed to given callback (from the application level UIRenderContext
, or from a containing UI component).
.isFocusable()
(): boolean
Returns true if this component can be focused directly using mouse or touch, or manually using UIComponent.requestFocus
. This method may be overridden by derived component classes, but the return value must be constant for each instance.
.isKeyboardFocusable()
(): boolean
Returns true if this component can be focused using the keyboard as well as using other methods (rather than direct manipulation only). This method may be overridden by derived component classes, but the return value must be constant for each instance.
.requestFocus()
(): void
Request input focus on this component.
Note: Not all components can be focused. Components can only be focused after they are rendered, so consider using this method inside of a Rendered
event handler.
.requestFocusNext()
(): void
Request input focus for the next sibling component.
.requestFocusPrevious()
(): void
Request input focus for the previous sibling component.
.applyStyle() protected
(style?:
UIStyle
): void
Applies given style set to individual style objects (e.g. UIComponent.dimensions
). This method is overridden by derived classes to copy only applicable styles.
.style
Combined style set, as an instance of UIStyle
; individual style object properties can be overridden, which will not affect the style
property.
Note: When this property is preset (using .with(...)
), the preset value is mixed in to the current style set, rather than replacing it altogether. The result is always applied before individual style objects such as dimensions
and position
. However, setting this property directly on a component instance will completely remove existing styles.
.hidden
boolean
Set to true to hide this component from view (does not stop the component from being rendered).
.dimensions
Readonly<Dimensions>
Options for the dimensions of this component.
.position
Readonly<Position>
Options for the positioning of this component within parent component(s).
.accessibleRole
string
WAI-ARIA role for this component, if applicable.
.accessibleLabel
string
WAI-ARIA label text for this component (not tooltip), if applicable.
.lastRenderOutput
Output<this, any>
Last rendered output, if any; set by the renderer.
.isPresetComponent() protected
(): boolean
Inherited from Component.isPresetComponent
.
.getParentComponent()
<TParent extends Component = Component>(ParentClass?:
ComponentConstructor
<TParent>): TParent
Inherited from Component.getParentComponent
.
.getBoundParentComponent()
<TParent extends Component>(ParentClass?:
ComponentConstructor
<TParent>): TParent
Inherited from Component.getBoundParentComponent
.
.emitAction()
(name: string, inner?:
ManagedEvent
, context?:
ManagedObject
): void
Inherited from Component.emitAction
.
.managedId
number
Inherited from ManagedObject.managedId
.
.managedState
Inherited from ManagedObject.managedState
.
.getReferenceCount() protected
(): number
Inherited from ManagedObject.getReferenceCount
.
.getManagedReferrers() protected
():
ManagedObject
[]
Inherited from ManagedObject.getManagedReferrers
.
.getManagedParent() protected
<TParent extends ManagedObject = ManagedObject>(ParentClass?:
ManagedObjectConstructor
<TParent>): TParent
Inherited from ManagedObject.getManagedParent
.
.emit()
<TEvent extends ManagedEvent = ManagedEvent, TConstructorArgs extends any[] = any[]>(e: string | TEvent | (new (...args: TConstructorArgs) => TEvent), ...constructorArgs: TConstructorArgs): this
Inherited from ManagedObject.emit
.
.emitChange()
(name?: string): void
Inherited from ManagedObject.emitChange
.
.propagateChildEvents() protected deprecated
(...types: ((new (...args: any[]) =>
ManagedEvent
) | ((e:
ManagedEvent
) => any))[]): this
Inherited from ManagedObject.propagateChildEvents
.
.activateManagedAsync() protected
(): Promise<any>
Inherited from ManagedObject.activateManagedAsync
.
.deactivateManagedAsync() protected
(): Promise<void>
Inherited from ManagedObject.deactivateManagedAsync
.
.destroyManagedAsync() protected
(): Promise<void>
Inherited from ManagedObject.destroyManagedAsync
.
.onManagedStateActivatingAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateActivatingAsync
.
.onManagedStateActiveAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateActiveAsync
.
.onManagedStateDeactivatingAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateDeactivatingAsync
.
.onManagedStateInactiveAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateInactiveAsync
.
.onManagedStateDestroyingAsync() protected
(): Promise<void>
Inherited from ManagedObject.onManagedStateDestroyingAsync
.
UIComponent.Presets
UIComponent base presets type, for use with Component.with
.
.style
string |
UIStyle
Style set (either an instance of UIStyle
or the name of a style set defined in UITheme.current
), which is mixed into the current style set on the component, before setting any other style properties.
.hidden
boolean
Set to true to hide this component from view (does not stop the component from being rendered).
.dimensions
Partial<{} | Dimensions>
Options for the dimensions of this component (overrides).
.position
Partial<{} | Position>
Options for the positioning of this component within parent component(s) (overrides).
.accessibleRole
string
WAI-ARIA role for this component, if applicable.
.accessibleLabel
string
WAI-ARIA label text for this component (not tooltip), if applicable.
.requestFocus
boolean
Set to true to request focus immediately after rendering for the first time; cannot be used together with onRendered
.
UIComponent.DynamicRendererWrapper
Stateful renderer for dynamic content (used by UIRenderableController
, ViewComponent
, etc.).
Constructor
.render()
(content?:
UIRenderable
, callback?: RenderCallback<Output<
UIRenderable
, any>>): void
Render given content using given callback, or previously stored callback.
.removeAsync()
(): Promise<unknown>
Remove previously rendered output.


Princeton Mock Trial is a student-run undergraduate organization established in 1998. We compete in American Mock Trial Association (AMTA)-organized tournaments throughout the year. Using a fictional criminal or civil legal case provided by AMTA, Princeton's three teams compete against other university programs in trial simulations as either the plaintiff/prosecution or defense in the case. Each team is comprised of around eight members. In any given trial, six members compete: three attorneys and three witnesses. Out of over 600 mock trial teams in the nation Princeton placed 2nd (2014) and 10th (2015) in America.
From engineers to fine arts majors, freshmen to seniors, high school mock trial champions to total newcomers, we represent a diverse group of students that share a love for public speaking, critical thinking, acting, improv and crime fiction.


Your STUPID-19 test results
Hey man,
It’s your doctor. I’ve got bad news. You’ve tested STUPID-19 positive. Which one you ask? The big one of course. Please find below your diagnostic test report -
| Test | Observation | Comments |
|---|---|---|
| Mental input | Presence of imaginary conversations in unlikely scenarios observed | Remedy at the earliest by reading a book, learning a new language or starting an online course |
| Mental output | Patient exhibits problematic activities like partaking in political debates on meme page comment sections | Strong intervention of da homies with philosophical discussions and intellectual masturbation sessions required |
| Physical input | Stuffs face hole with maggi, sugary drinks masquerading as “fruit juice”, and foods that have gone through 17 stages of processing | Skip the delivery foods like you do the workouts and go for home cooked whole foods |
| Physical output | Maximum daily movement seen was walking to the door to collect food delivery | Get that ass moving with dance, running or some home YouTube workouts #FlattenYourCurves |
| Creative input | Severe deficiency of the following was observed | Watch those old classics in your list, read an autobiography, listen to music other than Nicki Minaj |
| Creative output | Alarmingly high concentration of TikTok videos and Instagram stories | Advised to paint, play a musical instrument, cook (also helps in survival), dance, write a blog or take a pottery class |
Final diagnosis - Tested positive for STUPID-19
Please undertake corrective action immediately to prevent permanent damage.
Yours truly,
Dr. T
The above is a work of fiction. All ideas are pure conjecture and all propositions can be assumed to be thought experiments.


This example shows the safe route that takes the passenger around locations the passenger is required by law to avoid. The route on the right doesn't take into account the passenger when considering the route and forces a violation of sex offender laws or a violation of a restraining order.
This is the efficient route between the two points that would normally be assigned.
*****The below map is an image and is not interactive.*****


Javascript is a new challenge, it makes the website smarter. The analogy is like having many advanced electronics in your house. Compare to HTML I think it is more challenging as I have never learn it before
Control flow is the set of order of the tasks that we do in everyday life such as the steps to cook food. Whereas loops are used until the certain conditions are met such as when you making a food you add more sugars or salt until you fulfilled your taste buds
Arrays is using zero-based indexes whereas objects can be found in storage keys or method so it can found by name of its content
It is a set of statements / block code that perform tasks and calculate a value. It is useful as it is execute "something" invokes it


{% blocktrans %} Your Review Board installation does not have a {{MEDIA_ROOT}}/uploaded/images directory. {% endblocktrans %}
{% trans "If this is a new installation..." %}
{% blocktrans %} Create both {{MEDIA_ROOT}}/uploaded and {{MEDIA_ROOT}}/uploaded/images on the server and make both directories writable by the web server. You can do so with the following commands: {% endblocktrans %}
$ cd {{MEDIA_ROOT}} $ mkdir -p uploaded/images $ sudo chown -R www-data.www-data uploaded
{% trans "If this is an existing installation..." %}
{% blocktrans %} A recent update has changed the media setup on the server. This may require manual updates to the web server configuration. Please see the "Media Changes" section on the Required Server Updates page for instructions on fixing your setup. {% endblocktrans %}


A user with that username could not be found
@form(action = routes.UserController.loginUser()) { @inputText(loginForm("username"), '_label -> "Username") @inputPassword(loginForm("password"), '_label -> "Password")Don't have an account? Register one
}


//This loads a lst of zero terminated //strings into the sym table and //gives a name to it. Strings like //this are known as Define entries. //See ST_RAINBOW_10 U0 PrintDigit(U8 ch) { //The %Z code displays a Define subentry if ('0'<=ch<='9') "$FG,%Z$%d$FG$",ch-'0',"ST_RAINBOW_10",ch-'0'; } U0 PrintPattern(U8 *st) { I64 ch; while (ch=*st++) PrintDigit(ch); '\n'; } U0 Digits() { I64 num,ch,i; U8 answer[1024]; SettingsPush; //See SettingsPush Fs->text_attr=DKGRAY<<4+WHITE; DocClear; //Set default background and foreground "$WW,1$$BG,DKGRAY$$FD,WHITE$" "\nThis is a memory game. " "Try to remember the digits and enter them. " "They are colored based on electrical " "engineering color codes.\n"; for (i=0;i<10;i++) "$FG,%Z$%d: %Z\n",i,"ST_RAINBOW_10",i,i,"ST_RAINBOW_10"; "$FG$\n"; //set to default background ch=PressAKey; if (ch==CH_ESC||ch==CH_SHIFT_ESC) goto dg_done; while (TRUE) { restart: num=0; //Set to zeros so we have terminators MemSet(answer,0,sizeof(answer)); while (TRUE) { DocClear; "$WW,1$$BG,DKGRAY$$FD,WHITE$\n"; "Pattern\nLength:%d\n\n",num+1; answer[num++]=RandU32%10+'0'; PrintPattern(answer); ch=PressAKey; if (ch==CH_ESC||ch==CH_SHIFT_ESC) goto dg_done; DocClear; "$WW,1$$BG,DKGRAY$$FD,WHITE$\n"; "Guess\nLength:%d\n\n",num; for (i=0;i<num;i++) { ch=GetChar(,FALSE); if (ch==CH_ESC||ch==CH_SHIFT_ESC) goto dg_done; PrintDigit(ch); if (ch!=answer[i]) { "\nScore:%d\n",num; PrintPattern(answer); Beep; Beep; ch=PressAKey; if (ch==CH_ESC||ch==CH_SHIFT_ESC) goto dg_done; else goto restart; } } } } dg_done: DocClear; SettingsPop; } Digits;


Last week I was fortunate enough to be asked by Doug and Sam who run the BDP (Boston Design Patterns meet-up… NOT Boogie Down Productions) to present on Dependency Injection and Inversion of Control (DI and IoC for those who are down with street acronyms).
We had a nice turnout and a lively discussion that kept interupting my precious slides. I gave a quick run down of the Dependency Inversion principal and some examples for Factory and Template Method with segued into Dependency Injection and IoC. From there we dove into examples of frameworks out there that target the Flash Platform. Along the way we had some hefty discussion around the benefits and downsides with everyone chiming in. Tim Walling also brought up how he addresses DI using MXML and modules which was very intriguing.
As far as runtime IoC frameworks out there targeting the Flash Platform, we discussed Spring ActionScript (nee Prana) and Parsley. I’ve been using Spring ActionScript/Prana for some time and swear by it. But i also did take a second look at Parsley just to refresh my memory and I have to say there are some things that i find very promising, though at times it seems there might be too much to it. So many things i would not use… but the ability to configure custom namespaces looks like an amazing feature.
As far as compile time IoC, we touched on Swiz and the EventMap of Mate. Both have their upsides and Swiz has definitely caught my interest (…may have to find a personal project for me to get into it more) but all in all, I have a tendency to favor external configurations. (For those worried about having to do the static variable array list of classes hack because of that, there is an example in the download zip at the end of this post.)
In any event, it was a good, lively discussion with some smart people and some great beer (thanks again Doug!). It’s no wonder that getting to the meetings more often is top on my resolution list for this year. If you are in the Boston area, think about putting it on your list too.
Download the slides and examples here. We’ll get them up on at the BMP site too.
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>
This is part of the old website. New website begins at fontforge.github.io
Are you a web developer? Help us migrate this page on Github
After you have finished making all the glyphs in your font you should check it for inconsistencies. FontForge has a command, Element->Find Problems which is designed to find many common problems.
Simply select all the glyphs in the font and then bring up the Find Problems dialog. Be warned though: Not everything it reports as a problem is a real problem, some may be an element of the font's design that FontForge does not expect.
The dialog can search for problems like:
I find it best just to check for a similar problems at a time, otherwise switching between different kinds of problems can be distracting.
At this point you might want some bitmaps to go with the outline font (this
is not compulsory). Go to Element->Bitmap Strikes Available
and select the pixel sizes you want bitmaps in (Note, that on X and MS windows
pixel sizes often do not correspond exactly to point sizes. You can then
use the bitmap editor (Window->Open
Bitmap
) to clean up the bitmaps, or you can generate your bitmap
fonts and then use
someone else's bitmap editor to clean them up.
Bitmaps are discussed in more detail in the next section.
If you save your file it will be saved in a format that only FontForge understands (as far as I know anyway). This is not very helpful if you want to use the font.
Instead you must use File->Generate to convert your font into one of the standard font formats. FontForge presents what looks like a vast array of font formats, but in reality there are just several variants on a few basic font formats: PostScript Type 1, TrueType, OpenType (and for CJK fonts, also CID-keyed fonts).
You also have a choice of bitmap formats. FontForge supports bdf (used by
X), mac NFNT (used by the Mac), Windows FNT (used by Windows 2.0 I think)
and storing bitmaps inside true (or open) type wrappers.
After you have generated a font, you probably want to generate a sequence of similar fonts. In Latin, Greek and Cyrillic fonts italic (or oblique), bold, condensed, expanded styles are fairly common.
Fonts with different styles in the same family should share the same Family Name (in the Element->Font Info->Names dialog). The Font Name should be the Family Name with the style name(s) appended to the end, often preceded by a hyphen. So in the font family "Helvetica" all fonts should have the Family Name set to "Helvetica". The plain style could be called simply "Helvetica" or "Helvetica-Regular", the bold style "Helvetica-Bold", the oblique (Helvetica doesn't have a true italic) "Helvetica-Oblique", etc.
FontForge has a menu Element->Style which is designed to help you create different styles (bold, italic, oblique, condensed, extended, smallcaps,...) of a font a plain face. None of these transformations is perfect, be sure to check the results.
The Element->Transform->Transform->Skew command can turn a plain font into an Oblique one. Creating a true italic font is generally a bit more complex, the shape of the "a" changes dramatically to "a", the "f" gains a descender as "f", the serifs on "ilm" etc. become rounded as "ilm" and there will probably be other subtle differences. Also, after having skewed a font you should Element->Add Extrema.
If you already have a "Bold" and a "Plain" style of a font (and each glyph has the same number of points in the same order), you can use the Element->Interpolate Font command to generate a "DemiBold" style.
TrueType fonts (and Windows) support a very fine gradation of stem thicknesses (the Mac really only understands Plain and Bold). If you go to Element->Font Info->OS/2 you can set the weight to be any value between 0 and 999 (with plain generally being at 400 or 500, and Bold at 700). TrueType fonts also support a range of widths (while the Mac only supports condensed, plain and expanded).
On Windows machines, as long as you get the names right, the system should be able to figure out what fonts go into what families. But on the Mac the situation is (or was, it is changing and I don't understand all the new extensions yet) more complicated. The Mac supports a limited range of styles (plain, italic, bold, outline, condensed, expanded and combinations of these) anything outside these must go into a separate family. Then a special table needs to be constructed (called the FOND) which holds pointers to the various fonts in the family. If you open all the fonts you want to be in a given family (and if they have been given the proper names) and then from the plain font select File->Generate Family. This will list all the fonts that FontForge thinks belong to the same family as the current font and will allow you to generate a FOND structure as well as font files for all family members (sometimes all the fonts live in one file, sometimes they don't, it depends on the font format chosen).
So you have made a new font. But it does you no good just sitting on your disk, you must install it on your machine. On some systems this is as simple as just dragging the new font into your system Fonts folder, but on other systems there is a fair amount work involved still. See the Installing fonts FAQ.
For a tutorial about FontForge's scripting mechanism click here.


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California man claims fire destroyed 500-pound emerald, report says
by Edmund DeMarcheA California man reportedly has filed a monetary claim after recent wildfires that he said included a 500-pound emerald that could fetch $280 million, prompting PG&E – the electric utility company – to seek and question the historic gem’s alleged owner.
The claim is related to the 2018 Camp Fire that was the deadliest and most destructive wildfire in the state’s history, Bloomberg reported. The blaze killed 85 people and destroyed 19,000 homes and other structures. The fire caused an estimated $16.5 billion in damage.
UTILITY TO PAY $360M TO SETTLE SOUTHERN CALIFORNIA WILDFIRE LAWSUITS
LOS ANGELES FIREFIGHTER WAS PAID $360G IN OVERTIME LAST FISCAL YEAR: AUDIT
The electric and gas utility is looking for evidence that the emerald existed, which could include appraisal reports and receipts. The utility did not include the man’s name in the report.
Earlier this month, residents in Paradise gathered on the anniversary of the fire.
Gov. Gavin Newsom approved nearly two dozen laws last month addressing the precautionary power shutoffs or encouraging communities to adopt standards to make homes and their surroundings more fire-resistant.
The Associated Press contributed to this report


{{/* Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */}} {{ $cover := .HasShortcode "blocks/cover" }} Airflow Summit 2023 is coming September 19-21. Register now! {{ define "menu-content" }}
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|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Object org.apache.spark.TaskContext
public abstract class TaskContext
Contextual information about a task which can be read or mutated during execution. To access the TaskContext for a running task, use:
org.apache.spark.TaskContext.get()
| Constructor Summary | |
|---|---|
TaskContext()
|
| Method Summary | |
|---|---|
abstract void |
addOnCompleteCallback(scala.Function0<scala.runtime.BoxedUnit> f)
Adds a callback function to be executed on task completion. |
abstract TaskContext |
addTaskCompletionListener(scala.Function1<TaskContext,scala.runtime.BoxedUnit> f)
Adds a listener in the form of a Scala closure to be executed on task completion. |
abstract TaskContext |
addTaskCompletionListener(TaskCompletionListener listener)
Adds a (Java friendly) listener to be executed on task completion. |
abstract long |
attemptId()
|
abstract int |
attemptNumber()
How many times this task has been attempted. |
static TaskContext |
get()
Return the currently active TaskContext. |
abstract boolean |
isCompleted()
Returns true if the task has completed. |
abstract boolean |
isInterrupted()
Returns true if the task has been killed. |
abstract boolean |
isRunningLocally()
Returns true if the task is running locally in the driver program. |
abstract int |
partitionId()
The ID of the RDD partition that is computed by this task. |
abstract boolean |
runningLocally()
|
abstract int |
stageId()
The ID of the stage that this task belong to. |
abstract long |
taskAttemptId()
An ID that is unique to this task attempt (within the same SparkContext, no two task attempts will share the same attempt ID). |
abstract org.apache.spark.executor.TaskMetrics |
taskMetrics()
::DeveloperApi:: |
| Methods inherited from class Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public TaskContext()
| Method Detail |
|---|
public static TaskContext get()
public abstract boolean isCompleted()
public abstract boolean isInterrupted()
public abstract boolean runningLocally()
public abstract boolean isRunningLocally()
public abstract TaskContext addTaskCompletionListener(TaskCompletionListener listener)
listener
- (undocumented)
public abstract TaskContext addTaskCompletionListener(scala.Function1<TaskContext,scala.runtime.BoxedUnit> f)
f
- (undocumented)
public abstract void addOnCompleteCallback(scala.Function0<scala.runtime.BoxedUnit> f)
f
- Callback function.public abstract int stageId()
public abstract int partitionId()
public abstract int attemptNumber()
public abstract long attemptId()
public abstract long taskAttemptId()
public abstract org.apache.spark.executor.TaskMetrics taskMetrics()
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Median-of-k Jumplists and Dangling-Min BSTs
Jumplists are a relatively recent randomized dictionary data structure that can serve as alternative to skip lists.
Like skip lists, they encode a (variant of a) binary search tree in a sorted linked list using additional links that serve as shortcuts to elements further ahead in the list. Unlike skip lists, jumplists use only a single jump pointer per element.
Jumplists were originally suggested by Brönnimann et al. as a randomized data structure where the jump pointers are chosen randomly so that they correspond to a search tree built from a uniformly chosen random permutation of the stored keys. The distribution of jump pointers can be maintained efficiently upon insertions and deletions.
Median-of-k Jumplists
We modify jumplists to choose the pointer targets so that they mimick a $k$-fringe-balanced search tree, i.e., a BST where leafs store up to $k-1$ elements, and upon arrival of the $k$th are split into two new leaves and one internal node with the median of the $k$ elements as key. These trees are known to improve the expected path length, and hence the search costs.
We analyze the costs of search, insert and delete in median-of-$k$ jumplists. We find that larger values of $k$ improve the search costs at the expense of slightly more expensive insertions and deletions.
Analysis-wise, $k$-fringe-balanced trees correspond to moving from classic Quicksort to median-of-$k$ Quicksort, and the same relative savings are observed in both cases. Despite their similarities, different analytical tools are required to analyze median-of-$k$ jumplists.
“Quicksort Data Structures”
The analogy between $k$-fringe-balanced trees and median-of-$k$ Quicksort suggests trying other optimizations of Quicksort on jumplists:
- Multiway partitioning corresponds to adding more than one jump pointer to each node. Elisabeth Neumann investigated the case of two jump pointers in detail in her bachelor’s thesis.
- A cutoff to Insertionsort corresponds to a second node type without jump pointers. For such nodes, we fall back to linear search.
Low Memory Footprint
It turns out that especially this cutoff modification is a very promising idea to reduce the overall amount of memory needed:
By removing the jump pointers from, e.g., all sublists with less than 100 elements, we use less than 1.04 additional words of storage per key without losing much efficiency in searches. A typical implementation of balanced search trees uses much more memory; for example Java’s TreeMap uses 4 (!) additional words per key (left, right, and parent pointers, plus a word-aligned red/black color flag), and does not even store subtree size information needed for rank-based operations.
The practical performance of jumplists is competitive to other dictionary implementations, and they might be unique in directly offering low memory footprint with efficient rank select and worst-case constant-time successor operations.
By grouping elements to blocks, any data structure can be “put on a diet”, i.e., be transformed into one that uses much less extra space without slowing down operations by much. The advantage of jumplists is to avoid the additional layer of abstraction.
Code
I coded a proof-of-concept implementation of median-of-$k$ jumplists as a drop-in replacement of Java’s TreeMap. Here is the github repository.


Using JHipster in development
Please check our video tutorial on creating a new JHipster application!
Summary
- General configuration
- Running the Java server
- Working with Angular/React
- Using a database
- Internationalization
General configuration
IDE configuration
If you haven’t configured your IDE yet, please go to the Configuring your IDE page.
Application configuration
By default, JHipster uses the “development” profile, so you don’t have to configure anything.
If you want more information on the available profiles, please go the section titled “Profiles”.
If you want to configure some specific JHipster properties, have a look at the common application properties page.
Running the Java server
As a “main” Java class
From your IDE, right-click on the “Application” class at the root of your Java package hierarchy, and run it directly. You should also be able to debug it from your IDE.
The application will be available on http://localhost:8080.
This application will have “hot reload” enabled by default, so if you compile a class, the Spring application context should refresh itself automatically, without the need to restart the server.
As a Maven project
You can launch the Java server with Maven. JHipster provides a Maven wrapper, so you don’t need to install Maven, and you have the guarantee that all project users have the same Maven version:
./mvnw
(on Mac OS X/Linux) of mvnw
(on Windows)
(this will run our default Maven task, spring-boot:run
)
The application will be available on http://localhost:8080.
If you will use live reload with npm start
or yarn start
then you can speed up server start up by excluding webpack tasks by:
./mvnw -P-webpack
Alternatively, if you have installed Maven, you can launch the Java server with Maven:
mvn
If you want more information on using Maven, please go to http://maven.apache.org
(Optional) As a Gradle project
If you selected the Gradle option, JHipster provides a Gradle wrapper, so you don’t need to install Gradle, and you have the guarantee that all project users have the same Gradle version:
./gradlew
(on Mac OS X/Linux) of gradlew
(on Windows)
(this will run our default Gradle task, bootRun
)
The application will be available on http://localhost:8080.
If you will use live reload with npm start
or yarn start
then you can speed up server start up by excluding webpack tasks by:
./gradlew -x webpack
Alternatively, if you have installed Gradle, you can launch the Java server with Gradle:
gradle
If you want more information on using Gradle, please go to https://gradle.org
Working with Angular/React
Running Webpack
This step is required to see changes in your TypeScript code and have live reloading of your client-side code.
Running Webpack is the default task in the package.json
file, so it is enough to run:
npm start
(or, if you use Yarn, yarn start
).
This provides very impressive features:
- As soon as you modify one of your HTML/CSS/TypeScript file, your browser will refresh itself automatically
- When you test your application on several different browsers or devices, all your clicks/scrolls/inputs should be automatically synchronized on all screens
This will launch:
- A Webpack task that will automatically compile TypeScript code into JavaScript
- A Webpack “hot module reload” server that will run on http://localhost:9060/ (and has a proxy to http://<IP_ADDRESS>:8080/api to access the Java back-end)
- A BrowserSync task that will run on http://localhost:9000/, which has a proxy to http://localhost:9060/ (the Webpack “hot module reload” server), and which will synchronize the user’s clicks/scrolls/inputs
- The BrowserSync UI, which will be available on http://localhost:3001/
Running NPM
Direct project dependencies are configured into package.json
, but transitive dependencies are defined into the package-lock.json
file, that get generated when npm install
is run.
It is advised to check package-lock.json
[https://docs.npmjs.com/files/package-lock.json] into source control, so that all team members of a project have the same versions of all dependencies. Running npm install
again will regenerate the package-lock.json
with the latest versions of transitive dependencies.
Other NPM/Yarn tasks
Those tasks are the same whether you use NPM or Yarn, we use the npm
command as an example but you can replace it with yarn
.
npm run lint
: check for code style issues in the TypeScript codenpm run lint:fix
: try to automatically correct TypeScript lint issuesnpm run tsc
: compile the TypeScript codenpm run test
: run unit tests with Jestnpm run test:watch
: keep the Jest unit tests running, for live feedback when code is changednpm run e2e
: run “end to end” tests with Protractor (only works if the Protractor option has been selected when the project was generated)
Using a database
Running a database
If you use a non-embedded database, like MySQL, MariaDB, PostgreSQL, MSSQL, MongoDB, Cassandra or Couchbase, you will need to install and configure that database.
The easiest and recommended way with JHipster is to use Docker Compose. Follow our Docker Compose guide here.
If you prefer to install and configure your database manually, don’t forget to configure your Spring Boot properties accordingly in your src/main/resources/config/application-*.yml
files (for example your database URL, login and password).
Using the H2 database in development
If you choose the H2 database, you will have an in-memory database running inside your application, and you can access its console at http://localhost:8080/h2-console by default.
To connect to the database, select the pre-configured options:
- Driver Class: org.h2.Driver
- JDBC URL: jdbc:h2:mem:jhipster
- User name:
- Password:
Using MySQL, MariaDB or PostgreSQL in development
This option is bit more complex than using H2, but you have a some important benefits:
- Your data is kept across application restarts
- Your application starts a little bit faster
- You can use the great
./mvnw liquibase:diff
goal (see below)
Note: for MySQL, you probably need to start your database with these options:
--lower_case_table_names=1
: see the documentation--skip-ssl
: see the documentation--character_set_server=utf8
: see the documentation--explicit_defaults_for_timestamp
: see the documentation
The command is:
mysqld --lower_case_table_names=1 --skip-ssl --character_set_server=utf8 --explicit_defaults_for_timestamp
Database updates
If you add or modify a JPA entity, you will need to update your database schema.
JHipster uses Liquibase to manage the database updates, and stores its configuration in the /src/main/resources/config/liquibase/
directory. There are 3 ways to work with Liquibase: use the entity sub-generator, use the liquibase:diff Maven goal, or update the configuration files manually.
Database updates with the entity sub-generator
If you use the entity sub-generator, here is the development workflow:
- Run the entity sub-generator
- A new “change log” is created in your
src/main/resources/config/liquibase/changelog
directory, and has been automatically added to yoursrc/main/resources/config/liquibase/master.xml
file - Review this change log, it will be applied the next time you run your application
Database updates with the Maven liquibase:diff goal
If you have choosen to use MySQL, MariaDB or PostgreSQL in development, you can use the ./mvnw liquibase:diff
goal to automatically generate a changelog.
If you are running H2 with disk-based persistence, this workflow is not yet working perfectly, but you can start trying to use it (and send us feedback!).
Liquibase Hibernate is a Maven plugin that is configured in your pom.xml, and is independant from your Spring application.yml file, so if you have changed the default settings (for example, changed the database password), you need to modify both files.
Here is the development workflow:
- Modify your JPA entity (add a field, a relationship, etc.)
- Compile your application (this works on the compiled Java code, so don’t forget to compile!)
- Run
./mvnw liquibase:diff
(or./mvnw compile liquibase:diff
to compile before) - A new “change log” is created in your
src/main/resources/config/liquibase/changelog
directory - Review this change log and add it to your
src/main/resources/config/liquibase/master.xml
file, so it is applied the next time you run your application
If you use Gradle instead of Maven, you can use the same workflow by running ./gradlew liquibaseDiffChangelog -PrunList=diffLog
, and change the database configuration in build.gradle
in the liquibase configuration if required.
Database updates by manually editing the change log
If you prefer (or need) to do a database update manually, here is the development workflow:
- Modify your JPA entity (add a field, a relationship, etc.)
- Create a new “change log” in your
src/main/resources/config/liquibase/changelog
directory. The files in that directory are prefixed by their creation date (in yyyyMMddHHmmss format), and then have a title describing what they do. For example,20141006152300_added_price_to_product.xml
is a good name. - Add this “change log” file in your
src/main/resources/config/liquibase/master.xml
file, so it is applied the next time you run your application
If you want more information on using Liquibase, please go to http://www.liquibase.org.
Internationalization
Internationalization (or i18n) is a first-class citizen in JHipster, as we believe it should be set up at the beginning of your project (and not as an afterthought).
Usage is as follows:
- With Angular, thanks to NG2 translate and a specific JHipster component, which uses JSON files for translation
- With React, thanks to a specific JHipster component, which works the same way as the Angular component, and uses the same files
For example, to add a translation to the “first name” field, add a “translate” attribute with a key: <label jhiTranslate="settings.form.firstname">First Name</label>
This key references a JSON document, which will return the translated String. Angular/React will then replace the “First Name” String with the translated version.
If you want more information on using languages, read our Installing new languages documentation.


 I can find the perfect place for you to live and enjoy, or work to find the perfect person to buy your perfect place when it is time to move on. I can help you read between the lines of real estate listings or, if you would prefer a more guided approach, spend the time to get to know your needs and then schedule viewings for you so that you can focus on the experience of home-buying instead of the stress.
Testimonials
My Experience is Your Resource
With more than 10 years experience in real estate in the area, I can be your guide to navigating the entire home-buying or home-selling process. I know our local school systems and what pizza place stays open until 2:00 AM. I have a cadre of mortgage lenders and real estate lawyers I have worked with in the past in case you need recommendations.


Appendix C. Python Versus C++
This appendix briefly summarizes
some of the differences between Python and C++ classes.
Python's class system can be thought of as a
subset of C++'s. Although the comparison to Modula 3 may be
closer, C++ is the dominant OOP language today. But in Python, things
are intentionally simpler -- classes are simply
objects with attached
attributes that may have links to other class
objects. They support generation of multiple instances, customization
by attribute inheritance, and operator overloading, but the object
model in Python is comparatively uncluttered. Here are some specific
differences between Python and
C++:
- Attributes
-
There is no
real distinction between data members and methods in Python; both
simply designate named attributes of instances
or classes, bound to functions or other kinds of objects. Attributes
are names attached to objects, and accessed by qualification:
object.attribute. Methods are merely class
attributes assigned to functions normally created with nested
def statements; members are just attribute names
assigned to other kinds of objects.
- Class object generation
-
Class statements
create class objects and assign them to a name.
Statements that assign names within a class
statement generate class attributes, and classes inherit attributes
from all other classes listed in their class
statement header line (multiple inheritance is supported; this is
discussed in a moment).
- Instance object creation
-
Calling
a class object as though it were a function generates a new class
instance object. An instance begins with an
empty namespace that inherits names in the class's namespace;
assignments to instance attributes (e.g., to self
attributes within class method functions) create attributes in the
instance.
- Object deletion
-
Both
classes and instances (and any data they embed) are automatically
reclaimed when no longer held. There is no new
(classes are called instead) and Python's
del statement removes just one reference, unlike
C++'s delete.
- Member creation
-
Class and
instance attributes, like simple variables, spring into existence
when assigned, are not declared ahead of time, and may reference any
type of object (they may even reference different object datatypes at
different times).
- Inheritance
-
Python
inheritance is generally kicked off to search for an attribute
name's value: given an expression of the form
object.attribute, Python searches the namespace
object tree at object and above for the first
appearance of name attribute. An inheritance
search also occurs when expression operators and type operations are
applied to objects. A new, independent inheritance search is
performed for every object.attribute expression
that is evaluated -- even self.attr expressions
within a method function search anew for attr at
the instance object referenced by self and above.
- Runtime type information
-
Python classes are
objects in memory at runtime -- they can be
passed around a program to provide a sort of runtime type resource
(e.g., a single function can generate instances of arbitrary classes
passed in as an argument). Both class and instance objects carry
interpreter information (e.g., a __dict__
attribute dictionary), and Python's type
function allows object type testing. Instance objects'
__class__ attributes reference the class they
were created from, and class objects' __bases_
_ attributes give class superclasses (base classes).
- "this" pointer
-
Python's equivalent of the C++
this instance pointer is the first argument added
to method function calls (and usually called self
by convention). It is usually implicit in a call but is used
explicitly in methods: there is no hidden instance scope for
unqualified names. Python methods are just functions nested in a
class statement that receive the implied instance
objects in their leftmost parameters.
- Virtual methods
-
In Python, all methods and data members
are virtual in the C++ sense: there is no notion
of a compile-time resolution of attributes based on an object's
type. Every attribute qualification (object.name)
is resolved at runtime, based on the qualified object's type.
- Pure virtuals
-
Methods called by a superclass but not defined by it correspond to
C++'s concept of "pure virtual" methods: methods
that must be redefined in a subclass. Since Python is not statically
compiled, there is no need for C++'s special syntax to declare
this case. Calls to undefined methods raise a name error exception at
runtime, which may or may not be caught with try
statements.
- Static members
-
There is no
static class data declaration; instead,
assignments nested in a class statement generate
attribute names associated with the class and shared by all its
instances.
- Private members
-
There is no
notion of true access restrictions for attributes; every member and
method is public in the C++ sense. Attribute
hiding is a matter of convention rather than syntax: C++'s
public, private, and
protected constraints don't apply (but see
also the new __X class name localization feature
in Appendix A).
- Const interfaces
-
Objects
may be immutable, but names are not -- there is no equivalent of
C++'s const modifier. Nothing prevents a
name or object from being changed in a method, and methods can change
mutable arguments (the self object, for example).
Convention and common sense replaces extra syntax.
- Reference parameters
-
There
is no direct analogue for C++'s reference
parameters. Python methods may return multiple values in a tuple and
can change passed-in objects if they're mutable (for instance,
by assigning to an object's attributes or changing lists and
dictionaries in place). But there is no aliasing between names at the
call and names in a function header: arguments are passed by
assignment, which creates shared object references.
- Operator overloading
-
Special
method names overload operators: there is no operator+
-like syntax but the effects are similar. For instance, a
class attribute named __add__ overloads
(intercepts and implements) application of the +
operator to instances of the class; __getattr__
is roughly like C++ -> overloading. Arbitrary
expressions require coding right-side methods (e.g., _
_radd__ ).
- Templates
-
Python is
dynamically typed -- names are references to arbitrary objects,
and there is no notion of type declarations. C++ templates are
neither applicable nor necessary. Python classes and functions can
generally be applied to any object type that implements the interface
protocols (operations and operators) expected by the class's
code. Subjects need not be of a certain datatype.
- Friends
-
Everything is friendly in Python.
Because there is no notion of privacy constraints, any class can
access the internals of another.
- Function overloading
-
Python
polymorphism is based on virtual method calls: the type of a
qualified object determines what its methods do. Since Python
arguments' types are never declared (dynamically typed), there
is nothing like C++'s function overloading for dispatching to
different versions of a function based on the datatypes of its
arguments. You can explicitly test types and argument list lengths in
methods instead of writing separate functions for each type
combination (see type built-in function and
*args function argument form).
- Multiple inheritance
-
Multiple
inheritance is coded by listing more than one superclass in
parentheses in a class statement header line. When multiple
inheritance is used, Python simply uses the
first appearance of an attribute found during a
depth-first, left-to-right search through the superclass tree. Python
resolves multiple inheritance conflicts this way instead of treating
them as errors.
- Virtual inheritance
-
C++'s
notion of virtual base classes doesn't quite apply in Python. A
Python class instance is a single namespace dictionary (with a class
pointer for access to inherited attributes). Classes add attributes
to the class instance dictionary by assignment. Because of this
structure, each attribute exists in just one place -- the instance
dictionary. For inherited class attributes, the search of the
superclass tree resolves references unambiguously.
- Constructors
-
Python only runs the one _
_init__ method found by the inheritance object tree
search. It doesn't run all accessible classes'
constructors automatically; if needed, we have to call other class
constructors manually. But this is no harder than specifying
superclass constructor arguments in C++. Python destructors (
__del__ ) run when an instance is
garbage-collected (i.e., deallocated), not in response to
delete calls.
- Scope operators
-
C++
scope operators of the form Superclass::Method are
used to extend inherited methods and disambiguate inheritance
conflicts. Python's closest equivalent is
Superclass.Method, a class object qualification.
It isn't required for inheritance conflict resolution, but can
be used to override the default search rule and to call back to
superclasses in method extensions.
- Method pointers
-
Instead of
special syntax, Python method references are objects
; they may be passed, stored in data structures, and so
on. Method objects come in two flavors: bound
methods (when an instance is known) are instance/method pairs called
later like simple functions, and unbound methods
are simply references to a method function object and require an
instance to be passed explicitly when called.
Naturally, Python
has additional class features not found in C++, such as
metaclass protocols : __setattr_
_ can be used to implement alternative interfaces, and an
instance's __class__ pointer can be reset
to change the class type of an object dynamically. Moreover, class
attributes can be modified arbitrarily at runtime; classes are merely
objects with attached attribute names.
In addition, Python differs from C++ in
numerous ways besides its class model. For instance, there are
neither type declarations nor compile and linking steps in Python;
you cannot overload = in Python as you can in C++
(assignment isn't an operator in Python); and pointers, central
to much C and C++ programming, are completely absent in Python
(though object references can have some of the same effects). Instead
of pointers, Python programs use first-class objects, which are
automatically allocated and reclaimed.
Most of these differences stem from the fact that Python was designed
for speed of development, not speed of execution; much of C++'s
extra syntax would interfere with Python's purpose. See the
O'Reilly text Learning Python for a
complete introduction to Python classes and the remainder of the core
Python language.
|


---
layout: splash
title: Turing.jl - Turing.jl
permalink: /
main-feature_row:
- title: "Intuitive"
excerpt: "Turing models are easy to read and write — models work the way you write them."
- title: "General-purpose"
excerpt: "Turing supports models with discrete parameters and stochastic control flow. Specify complex models quickly and easily."
- title: "Modular"
excerpt: "Turing is modular, written fully in Julia, and can be modified to suit your needs."
code-sample:
excerpt: "Turing's modelling syntax allows you to specify a model quickly and easily. Straightforward models can be expressed in the same way as complex, hierarchical models with stochastic control flow."
url: "/docs/using-turing/quick-start"
snippet: |
@model gdemo(x, y) = begin
# Assumptions
σ ~ InverseGamma(2,3)
μ ~ Normal(0,sqrt(σ))
# Observations
x ~ Normal(μ, sqrt(σ))
y ~ Normal(μ, sqrt(σ))
end
samplers:
image_path: /assets/images/sampler.svg
excerpt: "Turing provides Hamiltonian Monte Carlo sampling for differentiable posterior distributions, Particle MCMC sampling for complex posterior distributions involving discrete variables and stochastic control flow, and Gibbs sampling which combines particle MCMC, HMC and many other MCMC algorithms."
url: "/docs/library/#samplers"
flux:
image_path: /tutorials/figures/3_BayesNN_12_1.svg
excerpt: "Turing supports Julia's [Flux](http://fluxml.ai/) package for automatic differentiation. Combine Turing and Flux to construct probabalistic variants of traditional machine learning models."
url: "/tutorials/3-bayesnn"
ecosystem:
title: Ecosystem
subtitle: Explore a rich ecosystem of libraries, tools, and more to support development.
ecosystems:
- title: AdvancedHMC
url: https://github.com/TuringLang/AdvancedHMC.jl
text: Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms.
- title: MCMCChains
url: https://github.com/TuringLang/MCMCChains.jl
text: Chain types and utility functions for MCMC simulations.
- title: Bijectors
url: https://github.com/TuringLang/Bijectors.jl
text: Automatic transformations for constrained random variables.
community:
title: Community
subtitle: Join the Turing community to contribute, learn, and get your questions answered.
comunities:
- title: GitHub
url: https://github.com/TuringLang/Turing.jl
text: Report bugs, request features, discuss issues, and more.
class: github
- title: Turing.jl Discuss
url: https://discourse.julialang.org/c/domain/probprog
text: Browse and join discussions on Turing.
class: turing-resource
- title: Slack
url: https://julialang.slack.com/messages/turing/
text: Discuss advanced topics. [Request access here](https://slackinvite.julialang.org/).
class: slack
support:
title: Companies & Universities
Using Turing.jl
supports:
- image: assets/images/cambridge.png
text: Pushing the state of the art in probabilistic machine learning.
- image: assets/images/edinburgh.png
text: Using Turing’s flexibility to efficiently research new algorithmic approaches.
- image: assets/images/edinburgh.png
text: Educating the next wave of Data Scientists using Turing.
---
Bayesian inference with probabilistic programming.
{{ page.community.subtitle }}
{{ f.text | markdownify }}
{{ page.ecosystem.subtitle }}
{{ f.text }}


Stop Sign
Not A Stop Sign
I have worked with code
That Matrix stuff? I only heard about it in Hackers


Vizag zoo nets ₹10 lakh revenue in a single day
Visitor count put at 22,306 on the last Sunday of ‘Karthika Masam’
by Harish GilaiIndira Gandhi Zoological Park (IGZP) generated a revenue of ₹10.03 lakh on the last Sunday of auspicious ‘Karthika Masam’.
“As many as 22,306 people visited the zoo on Sunday, the highest in the 2019-20 financial year till date and the same goes for the revenue generated. As many as 14,292 people visited the zoo last Sunday and the revenue generated was ₹6.61 lakh,” said IGZP curator Yesoda Bai.
Picnickers’ delight
The city zoo was flocked with families from in and around Visakhapatnam, Vizianagaram districts, who came for picnic. The picnickers also organised games, cultural programmes and fun events. Youth were seen taking selfies. Kambalakonda Wildlife Sanctuary also witnessed a heavy footfalls of picnickers.
It is learnt that the zoo received 23,260 footfalls on December 2, 2018, the highest in last financial, generating revenue of ₹9.80 lakh. Similarly, the zoo generated ₹5.60 lakh from the visit of 29,341 people on November 12, 2017 in the 2017-18 fiscal.


Nature isn't classical, dammit, and if you want to make a simulation of nature, you'd better make it quantum mechanical.
a device capable of performing computation using the principles of quantum information theory
subatomic modeling, molecular simulations, drug discovery
problem optimization, energy research, simulation and discovery
secure communication, cryptoanalysis
quantum classifiers, hybrid quantum/classical training
risk analysis, complex simulations, portfolio optimization
// queue job
az quantum job submit --target-id {target}
// check job status
az quantum job show --job-id {id}
// fetch job output
az quantum job output --job-id {id}
Result Frequency
--------- ----------- ----------------------
[0,1,0,0] 0.60000000 |████████████ |
[0,0,1,0] 0.20000000 |████ |
[1,0,1,0] 0.20000000 |████ |
In classical computing a bit can have only two discrete values
In quantum information theory an information unit is called a qubit.
The qubit is described by a two dimensional state vector, where $\alpha$ and $\beta$ are complex numbers.
$$|\alpha|^2 + |\beta|^2 = 1$$
To describe the state of a multi-qubit system, we use a tensor product of the individual states.
$$ \begin{bmatrix}\alpha_1 \\ \beta_1 \end{bmatrix} \otimes \begin{bmatrix}\alpha_2 \\ \beta_2 \end{bmatrix} = \begin{bmatrix}\alpha_1\alpha_2 \\ \alpha_1\beta_2 \\ \beta_1\alpha_2 \\ \beta_1\beta_2 \end{bmatrix} $$
A quantum state vector for $n$ qubits has
which makes quantum simulations on classical devices almost impossible
To simulate a molecule of penicillin we need
which exceeds the amount of atoms in the universe
The same simulation can in principle be done on a
error-free quantum computer.
Similarly to a bit, a qubit has two distinguishable states.
$$ \begin{bmatrix} 1 \cr 0 \end{bmatrix} = \ket{0} = 0 \;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\; \begin{bmatrix} 0 \cr 1 \end{bmatrix} = \ket{1} = 1 $$
Together, we call them the $\mathbf{Z}$ basis
Qubit state can be visualized using a Bloch sphere, where $\ket{0}$ and $\ket{1}$ are vectors starting at the center and pointing to "north pole" and "south pole".
All other states are a linear combination of $\ket{0}$ and $\ket{1}$. This is a superposition.
A superposition state is
Only the basis states can be observed in the measurement process
Upon observation, superposition state collapses to one of the observable states (e.g. $\ket{0}$ or $\ket{1}$).
$$P(0) = P(\ket{0}) = |\alpha|^2$$ $$P(1) = P(\ket{1}) = |\beta|^2$$
$$|\alpha|^2 + |\beta|^2 = 1$$
| type | input | execution | output | |||
|---|---|---|---|---|---|---|
| Classical | 010 | $\rightarrow$ | 110 | $\rightarrow$ | 001 | |
| Quantum | $\ket{1}\ket{0}\ket{0}$ | $\rightarrow$ | $\ket{\psi}$ | $\rightarrow$ | $\ket{0}\ket{1}\ket{0}$ |
I am convinced that God does not play dice
$$ \mathbf{H}=\frac{1}{\sqrt{2}}\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}$$
$$\mathbf{H}\ket{0} = \frac{1}{\sqrt{2}}\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}\begin{bmatrix} 1 \\ 0 \end{bmatrix} = \frac{1}{\sqrt{2}}\ket{0} + \frac{1}{\sqrt{2}}\ket{1}$$
$$\mathbf{H}\ket{1} = \frac{1}{\sqrt{2}}\begin{bmatrix} 1 & 1 \\ 1 & -1 \end{bmatrix}\begin{bmatrix} 0 \\ 1 \end{bmatrix} = \frac{1}{\sqrt{2}}\ket{0} - \frac{1}{\sqrt{2}}\ket{1}$$
Upon measurement, there is an equal 50% probability of a collapse to $\ket{0}$ or a $\ket{1}$.
$$\mathbf{H} \times \mathbf{H} = \begin{bmatrix} \frac{1}{\sqrt{2}} & \frac{1}{\sqrt{2}} \\ \frac{1}{\sqrt{2}} & -\frac{1}{\sqrt{2}} \end{bmatrix} \times \begin{bmatrix} \frac{1}{\sqrt{2}} & \frac{1}{\sqrt{2}} \\ \frac{1}{\sqrt{2}} & -\frac{1}{\sqrt{2}} \end{bmatrix} = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix} = I $$
Applying $H$ a second time, without a measurement, will return the qubit to its earlier state due to interference. This results in the randomness disappearing again.
The strength of quantum computers is that they are able to take algorithmic advantage of superposition. This is called
...quantum parallelism allows quantum computers to evaluate a function $f(x)$ for many different values of x simultaneously.
Deutsch's problem - given an unknown function
determine if the function is constant or balanced
Classically, two function evaluations are needed.
After the first execution, we still cannot say if the function is balanced or constant.
On a quantum computer, thanks to interference, the answer can be obtained in just one call.
The linear algebra for the circuit produces (for the measured qubit)
$$\ket{\psi} = \begin{cases} \; \ket{0} \;\;\;\; \text{when f(0) = f(1)} \\ \; \ket{1} \;\;\;\; \text{when f(0)} \neq \text{f(1)} \\ \end{cases} $$
This solves the problem in a single shot.
Applies the NOT logic on one qubit, based on the state of another qubit. It can create entanglement.
$$ \mathbf{CNOT}=\begin{bmatrix} 1 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 0 & 1 & 0 \end{bmatrix}$$
$\mathbf{CNOT}$ flips the target qubit if the control qubit is in state $\ket{1}$
$$\mathbf{CNOT}(\ket{0}\ket{0}) = \ket{0}\ket{0}$$
$$\mathbf{CNOT}(\ket{0}\ket{1}) = \ket{0}\ket{1}$$
$$\mathbf{CNOT}(\ket{1}\ket{0}) = \ket{1}\ket{1}$$
$$\mathbf{CNOT}(\ket{1}\ket{1}) = \ket{1}\ket{0}$$
But what if the control qubit was in a
Then we have an entangled state.
$$\mathbf{CNOT} \biggl(\mathbf{H}\ket{0}\ket{0}\biggr) = \frac{1}{\sqrt{2}}\ket{0}\ket{0} + \frac{1}{\sqrt{2}}\ket{1}\ket{1}$$
Upon measurement of either qubit, there is an equal 50% probability of a state collapse to $\ket{00}$ or $\ket{11}$.
Entangled states
into a tensor product of the individual quantum states.
A single quantum state can span multiple quantum objects which are
Spooky action at a distance
We call this
It is based on the Bell's theorem from 1964.
Exploring entanglement in algorithms is a critical factor contributing to computational advantage of quantum computing.


Here is a list of puzzles created on Ethereum.
For now, the contract is available only on the Rinkeby Test Network. Please switch your metamask to the right network before playing
You can enter a puzzle and try to solve it by paying a fee. The fee will be added to the total reward. The reward is split between the first winner and the creator of the puzzle.
source : https://github.com/falj/puzzle
contract address :
Feel free to donate :
Bitcoin : 1fredXSGtUNwfCxvn3phNFWPFu7mNqBkU
Ether : 0x68DdE2b310f7ab4C63C35d851024890377D990eB


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--- title: Growth curves in continuous time author: Charles Driver date: '2019-09-23' header-includes: slug: growth-curves-in-continuous-time categories: [] tags: [] description: '' topics: [] ---
Within R, simply run:
install.packages('ctsem')
library(ctsem)
This should work reliably for most / all cases – occasionally the rstan installation does not work smoothly, and errors can occur when models that require compilation (more complex models) are specified. In such cases, the ctsem github page https://github.com/cdriveraus/ctsem offers some remedies, the Stan forum is very helpful https://discourse.mc-stan.org/, or you can get in touch with me…
ctsem uses long format data, requires time and id columns, as well as at least one indicator / manifest variable. For this example we will use the ChickWeight dataset provided within R, showing growth of chicks over time.
library(ggplot2)
ggplot(data = ChickWeight,aes(x=Time, y=weight, color=Chick)) +geom_line()
To fit a model using ctsem, the model is first specified using the ctModel function, then fit using the ctStanFit function. The default model structure contains many free parameters:
m <- ctModel(type = 'stanct',
manifestNames = c('weight'),
id='Chick',
time='Time',
LAMBDA = diag(1))
ctModelLatex(m)
To begin we will use a simpler more restrictive, linear growth model:
m1 <- ctModel(type = 'stanct',
manifestNames = c('weight'),
latentNames=c('weight'),
id='Chick',
time='Time',
DRIFT= 0,
DIFFUSION=0,
CINT='cint1||FALSE',
T0MEANS='t0m1||FALSE',
T0VAR=0, #only need to specify when t0means are not individually varying
LAMBDA = 1,
MANIFESTMEANS=0,
MANIFESTVAR='merror')
#ctModelLatex(m1) #compile latex and view within subject model
f1 <- ctStanFit(datalong = ChickWeight, ctstanmodel = m1,
optimize=TRUE, nopriors=TRUE)
Then we can use summary and plotting functions:
summary(f1)
#plots of individual subject models v data
ctKalman(f1,plot=TRUE,subjects=1,kalmanvec=c('y','ysmooth'),timestep=.01)
ctKalman(f1,plot=TRUE,subjects=1:3,kalmanvec=c('y','ysmooth'),timestep=.01)


Instructions
The Tower of Hanoi (also called the Tower of Brahma or Lucas' Tower and sometimes pluralized as Towers) is a mathematical game or puzzle. It consists of three rods and a number of disks of different sizes, which can slide onto any rod. The puzzle starts with the disks in a neat stack in ascending order of size on one rod, the smallest at the top, thus making a conical shape.
The objective of the puzzle is to move the entire stack to another rod, obeying the following simple rules: Only one disk can be moved at a time. Each move consists of taking the upper disk from one of the stacks and placing it on top of another stack or on an empty rod. No larger disk may be placed on top of a smaller disk. With 3 disks, the puzzle can be solved in 7 moves. The minimal number of moves required to solve a Tower of Hanoi puzzle is 2n - 1, where n is the number of disks
A simple solution for the toy puzzle is to alternate moves between the smallest piece and a non-smallest piece. When moving the smallest piece, always move it to the next position in the same direction (to the right if the starting number of pieces is even, to the left if the starting number of pieces is odd). If there is no tower position in the chosen direction, move the piece to the opposite end, but then continue to move in the correct direction. For example, if you started with three pieces, you would move the smallest piece to the opposite end, then continue in the left direction after that. When the turn is to move the non-smallest piece, there is only one legal move. Doing this will complete the puzzle in the fewest moves.
Simpler statement of iterative solution
For an even number of disks:
- make the legal move between pegs A and B (in either direction),
- make the legal move between pegs A and C (in either direction),
- make the legal move between pegs B and C (in either direction),
- repeat until complete.
For an odd number of disks:
- make the legal move between pegs A and C (in either direction),
- make the legal move between pegs A and B (in either direction),
- make the legal move between pegs B and C (in either direction),
- repeat until complete.
In each case, a total of 2n − 1 moves are made.
Equivalent iterative solution
Another way to generate the unique optimal iterative solution:
- Number the disks 1 through n (largest to smallest).
- Number the disks 1 through n (largest to smallest).
- If n is odd, the first move is from peg A to peg
- If n is even, the first move is from peg A to peg
- Now, add these constraints:
- No odd disk may be placed directly on an odd disk.
- No even disk may be placed directly on an even disk.
- here will sometimes be two possible pegs: one will have disks, and the other will be empty. Place the disk on the non-empty peg.
- Never move a disk twice in succession.
Considering those constraints after the first move, there is only one legal move at every subsequent turn. The sequence of these unique moves is an optimal solution to the problem equivalent to the iterative solution described above


ANOTHER DAMN SERIES
Corvette was published with little fanfare and quickly shot up the sales charts on Amazon like no other book in my inventory had since Starstrikers. It blasted right past Starstrikers into its own orbit. I made serious money on that little book, and it did exactly what I had hoped it would do, bring in fans to the Star Saga. It also sold well enough to get me into SFWA, the professional writer's organization for Science Fiction and Fantasy writers.
Readers really responded to the hero of Corvette, a young commander named Armon Vance. The overwhelming response to that book was led me to consider writing the next Vance story. Again, I had been caught flat-footed with no sequel ready. So I stopped what I was writing at the time and cranked out a second book and then a third. But while I was working on the second book of the Starship Series, I realized how I could end the series. I could bring Vance's story right up to the front door of Starforgers where readers could carry on with the Star Saga. How many novellas would it take to get me there? Nine, of course.
The Starship Series takes place over the career of Armon Vance. The Corvette trilogy shows him becoming a Captain and chasing after the woman whom he had fallen for and then left him to become the mate of a legendary pirate. Each trilogy in this series would be separated by roughly ten to fifteen years and would end with him joining a group of civilian explorers. At the time of this writing, I'm working on editing the middle trilogy and writing the final trilogy of that series.
Here is the algorithm for each "trilogy":
- Short Story Anthology Vol 1 - Featuring the early days of main character from the novels.
- Short Story Anthology Vol 2 - May or may not happen for each trilogy.
- First Novel - Introduction of the new set of characters and their mission.
- First Novella - Focusing on one of the main characters with a side adventure, usually featuring starfighters.
- Second Novel - Middle book where bad things happen to the main characters.
- Second novella - Another side quest, possibly featuring the villain.
- Third Novel - The final novel where the trilogy wraps up.
I expect to get back to the Star Saga sometime in 2022. That original nine book series has now grown into a set of five book trilogies with a nine book lead-in series. I'm tired just thinking about all the writing I have to do before I die. Over the years I have been developing a single universe and have written over a dozen books in it. I'm not tired of it yet. I love every story I tell in the Star Saga Universe. I hope readers will stick with me until it's complete. I also really hope I live that long.


NFL hosting private workout for former 49ers quarterback Colin Kaepernick
by KGOSAN FRANCISCO -- Former 49ers quarterback Colin Kaepernick will have a chance to work out in front of NFL teams this Saturday.
The NFL organized the private session in Atlanta, which will involve on-field work and an interview, according to ESPN's Adam Schefter.
Schefter reported that all 32 teams are invited, and a video of the workout and interview will be made available as well.
The 32-year-old Kaepernick hasn't played since the 2016 season.
"I've been in shape and ready for this for 3 years, can't wait to see the head coaches and GMs on Saturday," he said after hearing about the opportunity.
Check out the latest news on the San Francisco 49ers here.


Uses of Class
org.drip.simm.common.DeltaVegaThreshold
| Package | Description |
|---|---|
| org.drip.simm.commodity |
Commodity Risk Factor Calibration Settings
|
| org.drip.simm.credit |
Credit Qualifying/Non-Qualifying Risk Factor Settings
|
| org.drip.simm.equity |
Equity Risk Factor Calibration Settings
|
| org.drip.simm.rates |
SIMM IR Risk Factor Settings
|
-
Uses of DeltaVegaThreshold in org.drip.simm.commodity
Methods in org.drip.simm.commodity that return DeltaVegaThreshold Modifier and Type Method Description static DeltaVegaThreshold
CTRiskThresholdContainer20. Threshold(int bucketNumber)
Retrieve the Threshold indicated by the Bucket Numberstatic DeltaVegaThreshold
CTRiskThresholdContainer21. Threshold(int bucketNumber)
Retrieve the Threshold indicated by the Bucket Numberstatic DeltaVegaThreshold
CTRiskThresholdContainer24. Threshold(int bucketNumber)
Retrieve the Threshold indicated by the Bucket NumberMethods in org.drip.simm.commodity that return types with arguments of type DeltaVegaThreshold Modifier and Type Method Description static java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CTRiskThresholdContainer20. DeltaVegaThresholdMap()
Retrieve the Delta Vega Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CTRiskThresholdContainer21. DeltaVegaThresholdMap()
Retrieve the Delta Vega Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CTRiskThresholdContainer24. DeltaVegaThresholdMap()
Retrieve the Delta Vega Threshold Map -
Uses of DeltaVegaThreshold in org.drip.simm.credit
Methods in org.drip.simm.credit that return DeltaVegaThreshold Modifier and Type Method Description static DeltaVegaThreshold
CRThresholdContainer20. NonQualifyingThreshold(int bucketNumber)
Retrieve the Credit Risk Non-Qualifying Threshold Instance identified by the Bucket Numberstatic DeltaVegaThreshold
CRThresholdContainer21. NonQualifyingThreshold(int bucketNumber)
Retrieve the Credit Risk Non-Qualifying Threshold Instance identified by the Bucket Numberstatic DeltaVegaThreshold
CRThresholdContainer24. NonQualifyingThreshold(int bucketNumber)
Retrieve the Credit Risk Non-Qualifying Threshold Instance identified by the Bucket Numberstatic DeltaVegaThreshold
CRThresholdContainer20. QualifyingThreshold(int bucketNumber)
Retrieve the Credit Risk Qualifying Threshold Instance identified by the Bucket Numberstatic DeltaVegaThreshold
CRThresholdContainer21. QualifyingThreshold(int bucketNumber)
Retrieve the Credit Risk Qualifying Threshold Instance identified by the Bucket Numberstatic DeltaVegaThreshold
CRThresholdContainer24. QualifyingThreshold(int bucketNumber)
Retrieve the Credit Risk Qualifying Threshold Instance identified by the Bucket NumberMethods in org.drip.simm.credit that return types with arguments of type DeltaVegaThreshold Modifier and Type Method Description static java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CRThresholdContainer20. CreditRiskNonQualifyingThresholdMap()
Retrieve the Credit Risk Non-Qualifying Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CRThresholdContainer21. CreditRiskNonQualifyingThresholdMap()
Retrieve the Credit Risk Non-Qualifying Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CRThresholdContainer24. CreditRiskNonQualifyingThresholdMap()
Retrieve the Credit Risk Non-Qualifying Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CRThresholdContainer20. CreditRiskQualifyingThresholdMap()
Retrieve the Credit Risk Qualifying Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CRThresholdContainer21. CreditRiskQualifyingThresholdMap()
Retrieve the Credit Risk Qualifying Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
CRThresholdContainer24. CreditRiskQualifyingThresholdMap()
Retrieve the Credit Risk Qualifying Threshold Map -
Uses of DeltaVegaThreshold in org.drip.simm.equity
Methods in org.drip.simm.equity that return DeltaVegaThreshold Modifier and Type Method Description static DeltaVegaThreshold
EQRiskThresholdContainer20. Threshold(int bucketNumber)
Retrieve the Equity Threshold specified by the Bucket Numberstatic DeltaVegaThreshold
EQRiskThresholdContainer21. Threshold(int bucketNumber)
Retrieve the Equity Threshold specified by the Bucket Numberstatic DeltaVegaThreshold
EQRiskThresholdContainer24. Threshold(int bucketNumber)
Retrieve the Equity Threshold specified by the Bucket NumberMethods in org.drip.simm.equity that return types with arguments of type DeltaVegaThreshold Modifier and Type Method Description static java.util.Map<java.lang.Integer,DeltaVegaThreshold>
EQRiskThresholdContainer20. DeltaVegaThresholdMap()
Retrieve the Delta Vega Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
EQRiskThresholdContainer21. DeltaVegaThresholdMap()
Retrieve the Delta Vega Threshold Mapstatic java.util.Map<java.lang.Integer,DeltaVegaThreshold>
EQRiskThresholdContainer24. DeltaVegaThresholdMap()
Retrieve the Delta Vega Threshold Map -
Uses of DeltaVegaThreshold in org.drip.simm.rates
Methods in org.drip.simm.rates that return DeltaVegaThreshold Modifier and Type Method Description DeltaVegaThreshold
IRThreshold. deltaVega()
Retrieve the Delta Vega Concentration ThresholdConstructors in org.drip.simm.rates with parameters of type DeltaVegaThreshold Constructor Description IRThreshold(CurrencyRiskGroup currencyRiskGroup, DeltaVegaThreshold deltaVega)
IRThreshold Constructor


Villanelle Helper
The villanelle form of poetry has a fixed, refrained, almost meditative structure.
Villanelle poems have 19 lines consisting of five tercets (three-line stanzas) and ending with a quatrain (a five-line stanza). There are two repeating refrains that alternate and come together in the quatrain.
The villanelle is the structure of "Do not go gentle into that good night" by Dylan Thomas and "Mad Girl's Love Song" by Silvia Plath.
Write your own villanelle with this handy Villanelle Helper: