public class RenderXml extends java.lang.Object implements IRenderScene
FrameLoader
. Refer to the FrameLoader
documentation for XML scene description file format
and conventions. The entire scene description is dynamically loaded (i.e. this renderer has no knowledge of implemented
geometries, lights, materials, textures, etc. comprising an environment. It only knows about interfaces, so, anything that
implements the rendering interfaces and is in the classpath can be loaded and rendered). Dynamic loading makes it easy to
add new geometry, lights, materials, textures, backgrounds , and illumination models simply by making sure the
classpath includes the location of the implementation of the new element, and asking to load it in
the XML file.
Usage:
RenderWindow -r cip.render.raytrace.RenderXml -d <sceneDescFile>
|
This implementation anticipates implementations with oversampling and jitter (future topics in the course); so, the dispatchPixel and setPixelColor methods of Assignment4 have been renamed dispatchSample and setPixelColor. Additionally, they carry a couple arguments that are unused for a single sample per pixel. This lets us use inheritance through extensions of this renderer that include oversampling and distributed ray tracing.
FrameLoader
,
RenderWindow
| Modifier and Type | Class and Description |
|---|---|
(package private) static class |
RenderXml.RenderPixel
This is the implementation of a pixel renderer intended to be run in a rendering thread.
|
| Modifier and Type | Field and Description |
|---|---|
(package private) java.awt.image.BufferedImage |
m_bi |
protected IRtBackground |
m_bkg
|
protected boolean |
m_bNewScene |
protected IRtCamera |
m_camera
|
(package private) java.awt.Graphics |
m_gc |
(package private) int |
m_nMaxRecursions |
(package private) int |
m_nRandCur
|
(package private) int |
m_nSampCur
|
(package private) int |
m_nXcur |
(package private) int |
m_nXDmax
|
(package private) int |
m_nXDmin
|
(package private) int |
m_nXmax |
(package private) int |
m_nXmin |
(package private) int |
m_nYcur |
(package private) int |
m_nYDmax
|
(package private) int |
m_nYDmin
|
(package private) int |
m_nYmax |
(package private) int |
m_nYmin |
(package private) int |
m_pixArrayHeight |
(package private) int |
m_pixArrayWidth |
protected IRtLight[] |
m_rtLights
|
protected IRtGeometry[] |
m_rtObjects
|
(package private) int |
m_threadCt |
(package private) byte[] |
m_threadLock |
| Constructor and Description |
|---|
RenderXml()
Creates a new instance of RenderXml
|
| Modifier and Type | Method and Description |
|---|---|
(package private) boolean |
dispatchPixel(RenderXml.RenderPixel renderThread)
Dispatch an un-rendered pixel in the image whenever this method is called.
|
(package private) java.awt.Color |
getSampleColor(Line3f ray,
RayIntersection intersection) |
java.lang.String |
getTitle()
Get the title that should be used for the displayed rendering window.
|
protected void |
lclAllocateKernelSamplingBuffer()
|
protected void |
lclConditionLoadedEnvironment(FrameLoader frameLoader)
|
protected void |
lclCreateRenderingThread()
|
(package private) void |
lclIncrementSampling()
|
protected void |
lclSetKernelDispatchBounds()
|
void |
loadScene(java.lang.String strSceneDesc)
Load a scene from the specified scene description file.
|
void |
renderImage(@NotNull java.awt.Image image)
Renders the scene, or a part of the scene, to the an
Image . |
void |
renderScene(@NotNull
java.awt.Component component,
@NotNull java.awt.Graphics gc)
Renders the scene, or a part of the scene, to the
Graphics context of a window. |
final int m_nMaxRecursions
protected boolean m_bNewScene
protected IRtCamera m_camera
protected IRtBackground m_bkg
protected IRtGeometry[] m_rtObjects
protected IRtLight[] m_rtLights
int m_nXmin
int m_nYmin
int m_nXcur
int m_nYcur
int m_nXmax
int m_nYmax
int m_nXDmin
int m_nYDmin
int m_nXDmax
int m_nYDmax
int m_nSampCur
int m_nRandCur
java.awt.Graphics m_gc
final byte[] m_threadLock
int m_threadCt
int m_pixArrayWidth
int m_pixArrayHeight
java.awt.image.BufferedImage m_bi
java.awt.Color getSampleColor(Line3f ray, RayIntersection intersection)
public void loadScene(java.lang.String strSceneDesc) throws java.lang.Exception
IRenderScene
loadScene
in interface IRenderScene
strSceneDesc
- (String, nullable) The scene description file.java.lang.Exception
- The exception that may be thrown is specific to the loader. If an exception is thrown the caller is
expected to try an create a meaningful message for the user, and then to exit.protected void lclConditionLoadedEnvironment(FrameLoader frameLoader)
public java.lang.String getTitle()
IRenderScene
IRenderScene.loadScene(String)
method is called. This allows the title to be part of the loaded scene description.getTitle
in interface IRenderScene
public void renderImage(@NotNull @NotNull java.awt.Image image)
IRenderScene
Image
.renderImage
in interface IRenderScene
image
- (Image, not null) The Image
the scene should be rendered to.public void renderScene(@NotNull @NotNull java.awt.Component component, @NotNull @NotNull java.awt.Graphics gc)
IRenderScene
Graphics
context of a window. The component provides the
pixel width and height of the drawing surface. The clipBounds of the graphics context describe what part of the
component needs to be redrawn. If the component is re-sized, the clipBounds will be the component canvas. If the
exposure of the window changes, the clipBounds may only
be a small part of the entire component.renderScene
in interface IRenderScene
component
- (Component, not null) The component the scene is being rendered into.gc
- (Graphics, not null) The Graphics
context of the component the scene should be rendered to.protected void lclAllocateKernelSamplingBuffer()
protected void lclSetKernelDispatchBounds()
protected void lclCreateRenderingThread()
boolean dispatchPixel(RenderXml.RenderPixel renderThread)
renderThread
- (RenderSample, modified) The pixel rendering thread to be loaded with a new pixel to render.void lclIncrementSampling()


UCR Academic Calendar
UCR Academic Calendar
| FIRST DAY | REGISTRATION | PAYMENT & DISBURSEMENT | LAST DAY TO... | FINALS & GRADES |
| Use the arrows to see past, current and future quarters |
| FALL 2016 | WINTER 2017 | SPRING 2017 | |
|---|---|---|---|
| First day of the quarter | September 19, 2016 | January 4, 2017 | March 29, 2017 |
| First day of instruction | September 22, 2016 | January 9, 2017 | April 3, 2017 |
| WINTER 2017 | SPRING 2017 | SUMMER 2017 | |
|---|---|---|---|
| First day of the quarter | January 4, 2017 | March 29, 2017 | June 26, 2017 |
| First day of instruction | January 9, 2017 | April 3, 2017 | See Summer Sessions |
| SPRING 2017 | SUMMER 2017 | FALL 2017 | |
|---|---|---|---|
| First day of the quarter | March 29, 2017 | June 26, 2017 | September 25, 2017 |
| First day of instruction | April 3, 2017 | See Summer Sessions | September 28, 2017 |
| FALL 2016 | WINTER 2017 | SPRING 2017 | |
|---|---|---|---|
| SCHEDULE OF CLASSES | |||
| Schedule of Classes is online | May 5, 2016 | October 20, 2016 | February 2, 2017 |
| INITIAL ENROLLMENT | |||
| Enrollment appointments viewable in R’Web | May 10, 2016 | October 25, 2016 | February 7, 2017 |
| Continuing students register | May 16, 2016 - June 3, 2016 | Oct. 31 - Nov. 28, 2016 | Feb. 13 - March 9, 2017 |
| New and readmitted students register | August 22-26, 2016 | N/A | N/A |
| Transfer students register | August 29 - September 5, 2016 | N/A | N/A |
| CONTINUING ENROLLMENT | |||
| Undergraduate 17 unit maximum load lifted | September 7, 2016 | November 30, 2016 | March 13, 2017 |
| Makeup enrollment and add/drop | June 6-17, 2016 (Continuing Students) and Sept. 19-Oct. 7, 2016 (All Students) | Nov. 30, 2016 - Jan. 17, 2017 | March 13-April 11, 2017 |
| For registration deadlines, see "LAST DAY" tab. |
| WINTER 2017 | SPRING 2017 | SUMMER 2017 | |
|---|---|---|---|
| SCHEDULE OF CLASSES | |||
| Schedule of Classes is online | October 20, 2016 | February 2, 2017 | March 1, 2017 |
| INITIAL ENROLLMENT | |||
| Enrollment appointments viewable in R’Web | October 25, 2016 | February 7, 2017 | February 15, 2017 |
| Continuing students register | Oct. 31 - Nov. 28, 2016 | Feb. 13 - March 9, 2017 | Beginning April 3, 2017 |
| New and readmitted students register | N/A | N/A | Beginning April 11, 2017 |
| Transfer students register | N/A | N/A | Beginning April 11, 2017 |
| CONTINUING ENROLLMENT | |||
| Undergraduate 17 unit maximum load lifted | November 30, 2016 | March 13, 2017 | N/A |
| Makeup enrollment and add/drop | Nov. 30, 2016 - Jan. 17, 2017 | March 13 - April 11, 2017 | See Summer Sessions |
| For registration deadlines, see "LAST DAY" tab. |
l
| SPRING 2017 | SUMMER 2017 | FALL 2017 | |
|---|---|---|---|
| SCHEDULE OF CLASSES | |||
| Schedule of Classes is online | February 2, 2017 | March 1, 2017 | May 11, 2017 |
| INITIAL ENROLLMENT | |||
| Enrollment appointments viewable in R’Web | February 7, 2017 | February 15, 2017 | May 16, 2017 |
| Continuing students register | Feb. 13 - March 9, 2017 | Beginning April 3, 2017 | May 22 - June 9, 2017 |
| New and readmitted students register | N/A | Beginning April 11, 2017 | Aug. 21 - 25, 2017 |
| Transfer students register | N/A | Beginning April 11, 2017 | Aug. 28 - Sept. 1, 2017 |
| CONTINUING ENROLLMENT | |||
| Undergraduate 17 unit maximum load lifted | March 13, 2017 | N/A | Septtember 6, 2017 |
| Makeup enrollment and add/drop | March 13 - April 11, 2017 | See Summer Sessions | June 12-23, 2017 (Continuing Students) and Sept.25-Oct. 13, 2017 (All Students) |
| For registration deadlines, see "LAST DAY" tab. |
| FALL 2016 | WINTER 2017 | SPRING 2017 | |
|---|---|---|---|
| Statement of Account (shows fees, tuition and projected student aid) available in R’Web. | mid-August, 2016 | mid-November, 2016 | mid-February, 2017 |
| Student Aid Refunds disbursed (by direct deposit or mail) by Student Business Services Office. | September 19, 2016 | January 4, 2017 | March 29, 2017 |
|
Last day to pay fees without $50 penalty. |
September 15, 2016 | December 15, 2016 | March 15, 2017 |
|
Last day to enroll in classes and pay fees (with penalties). If you do not enroll/pay, your student status lapses.
|
October 14, 2016 | January 6, 2017 | March 30, 2017 |
| WINTER 2017 | SPRING 2017 | SUMMER 2017 | |
|---|---|---|---|
| Statement of Account (shows fees, tuition and projected student aid) available in R’Web. | mid-November, 2016 | mid-February 2017 | TBD |
| Student Aid Refunds disbursed (by direct deposit or mail) by Student Business Services Office. | January 4, 2017 | March 29, 2017 | See Summer Sessions |
| Last day to pay fees without $50 penalty. Cashier's Office payments are due by 3 p.m. R’Web and Drop Box payments due at 4 p.m. |
December 15, 2016 | March 15, 2017 | See Summer Sessions |
| Last day to enroll in classes and pay fees (with penalties). If you do not enroll/pay, your student status lapses. Cashier's Office payments are due by 3 p.m. R’Web and Drop Box payments due at 4 p.m. |
January 6, 2017 | March 30, 2017 | See Summer Sessions |
| SPRING 2017 | SUMMER 2017 | FALL 2017 | |
|---|---|---|---|
| Statement of Account (shows fees, tuition and projected student aid) available in R’Web. | mid-February 2017 | TBD | mid-August, 2017 |
| Student Aid Refunds disbursed (by direct deposit or mail) by Student Business Services Office. | March 29, 2017 | See Summer Sessions | September 19, 2016 |
| Last day to pay fees without $50 penalty. Cashier's Office payments are due by 3 p.m. R’Web and Drop Box payments due at 4 p.m. Enrollment for Financial Aid Qualification must be complete by 4 p.m. |
March 15, 2017 | See Summer Sessions | September 15, 2017 |
| Last day to enroll in classes and pay fees (with penalties). If you do not enroll/pay, your student status lapses. Cashier's Office payments are due by 3 p.m. R’Web and Drop Box payments due at 4 p.m. |
March 30, 2017 | See Summer Sessions | October 13, 2017 |
| FALL 2016 | WINTER 2017 | SPRING 2017 | |
|---|---|---|---|
| Last day to apply for readmission if you have been absent one or more quarters | June 20, 2016 | September 22, 2016 | January 9, 2017 |
| Last day to mail payment for tuition/fees to allow for processing time. Postmarks not considered. | September 1, 2016 | December 1, 2016 | March 1, 2017 |
| Last day to add/drop courses in R’Web (no fee) without a "W" appearing on your transcript. . See When To Register for R’Web availability. | October 7, 2016 | January 17, 2017 | April 11, 2017 |
| Last day to add a course without dean approval (no fee). Enrollment Adjustment Forms are due at NOON. | October 14, 2016 | January 27, 2017 | April 21, 2017 |
| Last day to withdraw from a course (no fee). | October 14, 2016 | January 27, 2017 | April 21, 2017 |
| Last day to change grading basis (no fee). | October 14, 2016 | January 27, 2017 | April 21, 2017 |
| Last day for undergraduates to get dean approval to enroll in 10 or fewer units (and reduced tuition). Part-Time Fee Waivers are due at NOON. | October 14, 2016 | January 27, 2017 | April 21, 2017 |
| Last day to withdraw from a course ($4 fee). Enrollment Adjustment Forms are due at NOON. | November 4, 2016 | February 17, 2017 | May 12, 2017 |
| Last day to change grading basis or variable units ($4 fee). Enrollment Adjustment Forms are due at NOON. | November 18, 2016 | March 3, 2017 | May 26, 2017 |
| Last day of instruction | December 2, 2016 | March 17, 2017 | June 9, 2017 |
| Last day to withdraw from UCR for the full term | December 2, 2016 | March 17, 2017 | June 9, 2017 |
| Last day to complete work in order to remove an incomplete grade from the prior quarter | December 9, 2016 | March 24, 2017 | June 16, 2017 |
| Last day of the quarter | December 9, 2016 | March 24, 2017 | June 16, 2017 |
| WINTER 2017 | SPRING 2017 | SUMMER 2017 | |
|---|---|---|---|
| Last day to apply for readmission if you have been absent one or more quarters | September 22, 2016 | January 9, 2017 | N/A |
| Last day to mail payment for tuition/fees to allow for processing time. Postmarks not considered. | December 1, 2016 | March 1, 2017 | N/A |
| Last day to add/drop courses in R’Web (no fee) without a "W" appearing on your transcript. See When To Register for R’Web availability. | January 17, 2017 | April 11, 2017 | See Summer Sessions |
| Last day to add a course without dean approval (no fee). Enrollment Adjustment Forms are due at NOON. | January 27, 2017 | April 21, 2017 | See Summer Sessions |
| Last day to withdraw from a course (no fee). | January 27, 2017 | April 21, 2017 | See Summer Sessions |
| Last day to change grading basis (no fee). | January 27, 2017 | April 21, 2017 | See Summer Sessions |
| Last day for undergraduates to get dean approval to enroll in 10 or fewer units (and reduced tuition). Part-Time Fee Waivers are due at NOON. | January 27, 2017 | April 21, 2017 | See Summer Sessions |
| Last day to withdraw from a course ($4 fee). Enrollment Adjustment Forms are due at NOON. | February 17, 2017 | May 12, 2017 | See Summer Sessions |
| Last day to change grading basis or variable units ($4 fee). Enrollment Adjustment Forms are due at NOON. | March 3, 2017 | May 26, 2017 | See Summer Sessions |
| Last day of instruction | March 17, 2017 | June 9, 2017 | See Summer Sessions |
| Last day to withdraw from UCR for the full term | March 17, 2017 | June 9, 2017 | See Summer Sessions |
| Last day to complete work in order to remove an incomplete grade from the prior quarter | March 24, 2017 | June 16, 2017 | N/A |
| Last day of the quarter | March 24, 2017 | June 16, 2017 | TBD |
| SPRING 2017 | SUMMER 2017 | FALL 2017 | |
|---|---|---|---|
| Last day to apply for readmission if you have been absent one or more quarters | January 9, 2017 | N/A | June 19, 2017 |
| Last day to mail payment for tuition/fees to allow for processing time. Postmarks not considered. | March 1, 2017 | N/A | September 1, 2017 |
| Last day to add/drop courses in R’Web (no fee) without a "W" appearing on your transcript. Enrollment closes when the Student Information System is closed for nightly procesing. To ensure your request is processed we recommend you complete your enrollment activity prior to 6 p.m. See When To Register for R’Web availability. | April 11, 2017 | See Summer Sessions | October 13, 2017 |
| Last day to add a course without dean approval (no fee). Enrollment Adjustment Forms are due at NOON. | April 21, 2017 | See Summer Sessions | October 20, 2017 |
| Last day to withdraw from a course (no fee). | April 21, 2017 | See Summer Sessions | October 20, 2017 |
| Last day to change grading basis (no fee). | April 21, 2017 | See Summer Sessions | October 20, 2017 |
| Last day for undergraduates to get dean approval to enroll in 10 or fewer units (and reduced tuition). Part-Time Fee Waivers are due at NOON. | April 21, 2017 | See Summer Sessions | October 20, 2017 |
| Last day to withdraw from a course ($4 fee). Enrollment Adjustment Forms are due at NOON. | May 12, 2017 | See Summer Sessions | November 3, 2017 |
| Last day to change grading basis or variable units ($4 fee). Enrollment Adjustment Forms are due at NOON. | May 26, 2017 | See Summer Sessions | November 17, 2017 |
| Last day of instruction | June 9, 2017 | See Summer Sessions | December 1, 2017 |
| Last day to withdraw from UCR for the full term | June 9, 2017 | See Summer Sessions | December 1, 2017 |
| Last day to complete work in order to remove an incomplete grade from the prior quarter | June 16, 2017 | N/A | December 8, 2017 |
| Last day of the quarter | June 16, 2017 | TBD | December 8, 2017 |
| FALL 2016 | WINTER 2017 | SPRING 2017 | |
|---|---|---|---|
| Final Examinations | December 3-9, 2016 | March 18-24, 2017 | June 10-16, 2017 |
| Grades available on R’Web | January 3, 2017 | April 3, 2017 | June 26, 2017 |
| WINTER 2017 | SPRING 2017 | SUMMER 2017 | |
|---|---|---|---|
| Final Examinations | March 18-24, 2017 | June 10-16, 2017 | See Summer Sessions |
| Grades available on R’Web | April 3, 2017 | June 26, 2017 | See Summer Sessions |
| SPRING 2017 | SUMMER 2017 | FALL 2017 | |
|---|---|---|---|
| Final Examinations | June 10-16, 2017 | See Summer Sessions | December 9-15, 2017 |
| Grades available on R’Web | June 26, 2017 | See Summer Sessions | January 2, 2018 |
UCR Holiday Calendar
| SUMMER 2016 | FALL 2016 | WINTER 2017 | SPRING 2017 | SUMMER 2017 | |
|---|---|---|---|---|---|
| Academic and Administrative Holidays | July 4, 2016 Septermber 5, 2016 |
November 11, 2016 November 24-25, 2016 |
Jan. 16, 2017 February 20, 2017 |
March 31, 2017 May 29, 2017 |
July 4, 2017 September 4, 2017 |
| Winter Break | December 10-31, 2016 | ||||
| Spring Break | March 27-31, 2017 | ||||
| Commencement (dates subject to change; check web site for updates) | June 16-19, 2017 | June 16-19, 2017 |
More UCR Calendars
- Go to our archives to view academic calendars from previous years.
- See the final exam schedule for final exam times and locations.
- See the Five-Year General Academic Calendar.
- See Graduate Division deadlines.


Show Timer: {{setRepAndDisplay(timeSinceStart)}}
Correspondent:
Host Left: Host Right:
Week:
Scores: {{team.name}}
Round:


We'll be covering:
- Basics of React
- Using JSX
- Integrating external data sources
- Tooling your workflow
- Extras: Browserify
React.render
accepts a ReactElement
accepts a DOMElement
optionally accepts a callback
React.createElement
accepts an html tag name as a string, or a ReactClass
takes properties object to use with html or ReactClass
element
all other arguments are passed in as children
returns a new ReactElement
React.createClass
accepts an object that requires a render
method
returns a new ReactClass
InitialCamelCase class names
Gotchas:
- Always close your tags
- Only return one enclosing element
- Variables get enclosed in braces
this.props
and this.state
setState( newState );
new state may be an object or a function
function accepts two arguments, previous state and props
JSX CLI
jsx inputDir outputDir
Browserify CLI
browserify input.js -o output.js


What is Emotional Intelligence?
Emotional intelligence is the intelligence that is based around social interaction. We, the humans, are social creatures and so much of our lives, happiness and success in this world can be traced back to how we interact with one's own emotions, and consequently our actions which become our interactions.
The following quote from Viktor Frankl’s - Man's Search For Meaning embodies one of the core principles of mindfulness, and EQ:
“Between stimulus and response there is a space. In that space is our power to choose our response. In our response lies our growth and our freedom.”
The ability to stop, assess the situation and any other people involved and then decide on the action you want to take is a key part of where EQ surfaces. However for it to surface, requires a foundation upon which you ( and me ) can release our own baggage. This baggage can be a wide range of things that affect how we operate, a lot of it can generally be stemmed back to childhood. One way I’ve heard it referred to is that we are made up of mental parts, things in our DNA that provide survival mechanisms. Those parts can sometimes be hijacked by trauma, and environmental factors that then turn into negative thought patterns.
With a first step of being self aware ( meditation and mindfulness practice is helpful for this ), you can start to recognise these harmful thought patterns. Personally I’ve found journalling to be the most powerful tool for tracing these back to where the scarring originally occurred, and most of the time, being able to as an adult look back upon the situation and see it from a birds I view, and in parallel be loving to the child Seb, I’ve been able to let go of the things that were eating me up, and in more occasions than I’m proud of cause me to hurt the people around me who I loved the most.
Obviously a good therapist is going to be helpful in untangling the parts of you that are causing baggage, but the reality in NZ is that it’s generally out of the budget of most people. So the next best steps that i’ve found helpful and would recommend to anyone reading this who would like to develop their EQ would be the following:
Read, read, and read some more.
The top books on the topic that i’ve read so far are the following:
How to win friends and influence people - Dale Carnegie. Once you excuse the salesie title, written for an audience 50 years ago, this is a great book for starting off in a journey of developing EQ. Another one is called The Social Leap - William von Hippel, and also thinking fast and slow - Daniel Kahneman. A great book on trust and its place in society. I’ve also found Biographies helpful. It gives you an insight into other families dynamics a lot of the time, and how life events and perceptions of those events shaped them. As for deep dives into books directly on the topic of EQ, I am only just getting into some of them. The two books I’m about to get into are Love yourself like your life depends on it - Kamal Ravikant, and the gold standard in EQ books, Emotional Intelligence - Daniel Goleman. So You’ll have to wait until the next blog on EQ to hear how they fit into my version of this puzzle we call life.
The following Image is one that create a map for understanding emotions and unpacking them:
I found this blog to be a good read on the topic ( Along with nearly all of Tim’s work )
Also as for another resource, Stoicism is a great place to look to build processes and ways of thinking that allow for higher EQ. There's definitely enough to chew on with that topic for its own post though!
How is it different to IQ?
IQ is a measure for someone's reasoning ability. It is basically the ability someone has to use information and logic to answer questions or make predictions. Often it is understood to be a fixed measure. However I’d like to argue that recent neuroplasticity research would probably disagree.  It is almost always thought of as a learned skill.
Why is it important?
For starters, employers tend to prefer it over EQ. But I think the most important reason for working on developing EQ is relationships. Building great friendships with the people in your life is a huge part of having a happy and meaningful time here on earth.


Located off the northwest tip of Bird's Head Peninsula on the island of New Guinea, in Indonesia's West Papua province, Raja Ampat, or the Four Kings, is an archipelago comprising over 1,500 small islands, cays, and shoals surrounding the four main islands of Misool, Salawati, Batanta, and Waigeo, and the smaller island of Kofiau.
There is now a mooring facility at the Port of Waisai, on the west coast of the island of Waigeo.
Raja Ampat archipelago is the part of Coral Triangle which contains the richest marine biodiversity on earth.
Position 00° 29'S, 130° 09'E (western side of the islands)
Some good cruising reports posted adjacent about this group of islands include:
NE Indonesia, Raja Ampat: one of our best experiences on our journey around the world
Raja Ampat, Misool Eco resort: a slice of heaven
Crocodile Attacks - Raja Ampat
In April 2016 a fatal saltwater crocodile attack on a snorkeller was reported, off the coast of Minyaifun island.
http://www.divernet.com/home-diving-news/p305790-crocodile-attack-in-raja-ampat.html
There is no official port of entry in these islands.


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This W3C work (including software, documents, or other related items) is being provided by the copyright holders under the following license. By obtaining, using and/or copying this work, you (the licensee) agree that you have read, understood, and will comply with the following terms and conditions:
Permission to use, copy, and modify this software and its documentation, with or without modification, for any purpose and without fee or royalty is hereby granted, provided that you include the following on ALL copies of the software and documentation or portions thereof, including modifications, that you make:
THIS SOFTWARE AND DOCUMENTATION IS PROVIDED "AS IS," AND COPYRIGHT HOLDERS MAKE NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO, WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE OR DOCUMENTATION WILL NOT INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER RIGHTS.
COPYRIGHT HOLDERS WILL NOT BE LIABLE FOR ANY DIRECT, INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF ANY USE OF THE SOFTWARE OR DOCUMENTATION.
The name and trademarks of copyright holders may NOT be used in advertising or publicity pertaining to the software without specific, written prior permission. Title to copyright in this software and any associated documentation will at all times remain with copyright holders.
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This formulation of W3C's notice and license became active on August 14 1998. See the older formulation for the policy prior to this date. Please see our Copyright FAQ for common questions about using materials from our site, including specific terms and conditions for packages like libwww, Amaya, and Jigsaw. Other questions about this notice can be directed to<EMAIL_ADDRESS>(last updated 14-Aug-1998 )


This app is a simple yet effective way of demonstrating the power of pairing Solr with a Map visualization. Utilizing data from HMDB (The database of Historical Markers) and OpenLayers (A powerful opensource mapping tool), it's possible to provide users with interesting visualizations of events in US history.
The code behind this application is intended to be easy to follow. Essentially all that's happening behind the scenes is a basic query to Solr, converting the response to GeoJSON then feeding it into OpenLayers.


Run an Orc Program
In this section, you will run an Orc program. Orc programs are run by the Orc runtime engine,
which provides the concurrency feature of Orc, and manages communication with sites.
Running the Program
- In the Project Explorer, select the Orc program you wish to run. If you need an example,
cut and paste the following into a new Orc file: (1 | 2 | 3) >x> x+40
- Pick the menu item Run > Run.
- Observe the output in the Console view. Runtime error messages will also be displayed in the console.
- Pick the menu item Run > Run Configurations..., and observe that a default
Orc Program run configuration has been created. Run configurations store settings that control the
execution of a program. Other Orc run configurations can be created and used via the
Run > Run As... menu item. The next section covers changing these settings.
- Run a long running program, such as Rwait(15000) (a 15 second delay).
Press the square red Terminate button on the Console view. This button terminates
the program when pressed.
Next Section: Change Orc configuration settings


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|
| enum | mExchange : unsigned int {
Null,
HitBtc,
OkCoin,
Coinbase,
Bitfinex,
Kraken,
OkEx,
BitfinexMargin,
Korbit,
Poloniex
} |
| |
| enum | mConnectivity : unsigned int { Disconnected,
Connected
} |
| |
| enum | mStatus : unsigned int { New,
Working,
Complete,
Cancelled
} |
| |
| enum | mSide : unsigned int { Bid,
Ask,
Both
} |
| |
| enum | mTimeInForce : unsigned int { IOC,
FOK,
GTC
} |
| |
| enum | mOrderType : unsigned int { Limit,
Market
} |
| |
| enum | mPingAt : unsigned int {
BothSides,
BidSide,
AskSide,
DepletedSide,
DepletedBidSide,
DepletedAskSide,
StopPings
} |
| |
| enum | mPongAt : unsigned int {
ShortPingFair,
AveragePingFair,
LongPingFair,
ShortPingAggressive,
AveragePingAggressive,
LongPingAggressive
} |
| |
| enum | mQuotingMode : unsigned int {
Top,
Mid,
Join,
InverseJoin,
InverseTop,
HamelinRat,
Depth
} |
| |
| enum | mQuotingSafety : unsigned int { Off,
PingPong,
Boomerang,
AK47
} |
| |
| enum | mQuoteState : unsigned int {
Live,
Disconnected,
DisabledQuotes,
MissingData,
UnknownHeld,
TBPHeld,
MaxTradesSeconds,
WaitingPing,
DepletedFunds,
Crossed,
UpTrendHeld,
DownTrendHeld
} |
| |
| enum | mFairValueModel : unsigned int { BBO,
wBBO
} |
| |
| enum | mAutoPositionMode : unsigned int { Manual,
EWMA_LS,
EWMA_LMS,
EWMA_4
} |
| |
| enum | mPDivMode : unsigned int {
Manual,
Linear,
Sine,
SQRT,
Switch
} |
| |
| enum | mAPR : unsigned int { Off,
Size,
SizeWidth
} |
| |
| enum | mSOP : unsigned int { Off,
Trades,
Size,
TradesSize
} |
| |
| enum | mSTDEV : unsigned int {
Off,
OnFV,
OnFVAPROff,
OnTops,
OnTopsAPROff,
OnTop,
OnTopAPROff
} |
| |
| enum | mHotkey : int { ESC = 27,
Q = 81,
q = 113
} |
| |
| enum | mPortal : unsigned char { Hello = '=',
Kiss = '-'
} |
| |
| enum | mMatter : unsigned char {
FairValue = 'a',
Quote = 'b',
ActiveSubscription = 'c',
Connectivity = 'd',
MarketData = 'e',
QuotingParameters = 'f',
SafetySettings = 'g',
Product = 'h',
OrderStatusReports = 'i',
ProductAdvertisement = 'j',
ApplicationState = 'k',
Notepad = 'l',
ToggleSettings = 'm',
Position = 'n',
SubmitNewOrder = 'p',
CancelOrder = 'q',
MarketTrade = 'r',
Trades = 's',
ExternalValuation = 't',
QuoteStatus = 'u',
TargetBasePosition = 'v',
TradeSafetyValue = 'w',
CancelAllOrders = 'x',
CleanAllClosedTrades = 'y',
CleanAllTrades = 'z',
CleanTrade = 'A',
TradesChart = 'B',
WalletChart = 'C',
EWMAChart = 'D',
MarketDataLongTerm = 'G'
} |
| |


--- layout: post title: Installing REE With The Snow Leopard SQL Server Stack disqus_id: /2009/10/27/installing-ree-with-the-snow-leopard-sql-server-stack/ categories: - database - heuristics - projects - ruby-rails ---
Today I noticed that Ruby Enterprise Edition 2009.10 was released and I have really been wanting to see if I could get the SQL Server adapter tested and running under it. I am really curious how the speed improvements might look and will share my results below. This article assumes that you read my previous guide titled The Ultimate OS X Snow Leopard Stack For Rails Development - x86_64, MacPorts, Ruby 1.8/1.9, SQL Server, SQLite3, MySQL & More as I will be building on top of it and referencing certain steps. So let's get down to business.
The guys at Phusion have done a rock solid job. My previous attempts to install REE were a bomb, but it worked perfectly this time around. Simply follow their directions and all will be OK. A snippet of my output is below. I liked how they picked a new default install directory of /opt/ruby-enterprise-1.8.7-2009.10
. Wicked cool! By the way, the only issue I had during install was when they were trying to install the pg gem for me. I ignored that error for now.
$ sudo ./ruby-enterprise-1.8.7-2009.10/installer Where would you like to install Ruby Enterprise Edition to? (All Ruby Enterprise Edition files will be put inside that directory.) [/opt/ruby-enterprise-1.8.7-2009.10] :
This is actually really easy. In my previous article, I talked about installing MacPorts and configure your profile. All I did this time around was add the REE path extensions after my MacPort extensions in my ZSH kit. So my path file now looks this below. If I ever want to just go back to my normal 1.8/1.9 toggle in /opt/local/bin
, I just comment out the REE path extensions, source my profile and I'm back to my MacPort basics.
In the last guide, I mentioned how to switch between ruby 1.8/1.9 installed by MacPorts using a simple ZSH function. You can find this in my article title MultiRuby The MacPorts Way. Testing Your Rails Apps With Ruby 1.9. I have updated this to include a condition that will noop the function if you are running REE. So to recap. I use my chruby
function to switch between 1.8/1.9 installed by MacPorts and I use my profile extension to use REE. So what that profile change done... reload and/or open a new terminal window and test it out.
$ which ruby /opt/ruby-enterprise-1.8.7-2009.10/bin/ruby $ which gem /opt/ruby-enterprise-1.8.7-2009.10/bin/gem
Let's get the easy stuff out of the way and install the needed gems for the adapter to work. Again, always follow the TODO on the adapter page for the latest blessed versions of DBI and low level connectivity stuff. But just to recap the current needs.
$ sudo gem install dbi -v 0.4.1 $ sudo gem install dbd-odbc -v 0.2.4 $ sudo gem install activerecord-sqlserver-adapter
Now the hard part, but I have an easy solution. You can do this the hard way and recompile the UTF8 version of ruby odbc by hand or you can type one command. I tried compiling it by hand and found that I had a few bugs, even after following Jacob Riff's notes when he had a similar issue when trying to hook ruby ODBC to use unixODBC in his /usr/local
. My solution was much simpler. I just coped my ruby 1.8.7 ruby odbc to the REE's vendor ruby directory. Hence:
$ sudo cp /opt/local/lib/ruby/vendor_ruby/1.8/i686-darwin10/odbc.bundle /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/vendor_ruby/1.8/i686-darwin10.0.0
Here are my notes below on where I failed on installing ruby odbc by hand under REE. Feedback welcome, but good to know that the above simple copy worked just fine.
# Installing Ruby ODBC By Hand Notes $ ruby -Cutf8 extconf.rb $ make -C utf8 $ sudo make -C utf8 install /usr/bin/install -c -m 0755 odbc_utf8.bundle /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/site_ruby/1.8/i686-darwin10.0.0 $ sudo mv /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/site_ruby/1.8/i686-darwin10.0.0/odbc_utf8.bundle /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/site_ruby/1.8/i686-darwin10.0.0/odbc.bundle Loading development environment (Rails 2.3.4) dlsym(0x102c6e330, Init_odbc): symbol not found - /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/site_ruby/1.8/i686-darwin10.0.0/odbc.bundle /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/site_ruby/1.8/i686-darwin10.0.0/odbc.bundle /opt/ruby-enterprise-1.8.7-2009.10/lib/ruby/site_ruby/1.8/rubygems/custom_require.rb:31:in `require'
Here is the good news, the above hacks and REE work! I have even tested the adapter and all is looking good from my end!!! Now how about those benchmarks? Here are the speed differences for running the full adapter test suite under 1.8.7 installed in MacPorts and the latest REE. Note, this is really non-scientific benchmarks, but I think they fun facts.
Ruby 1.8.7 MacPorts (patchlevel 174) Finished in 158.574243 seconds. 2190 tests, 7395 assertions, 0 failures, 0 errors REE 1.8.7 (2009.10) Finished in 146.834762 seconds. 2190 tests, 7636 assertions, 0 failures, 0 errors
Since passenger was installed as part of the REE installation, all I had to do was run the apache2 installer again and paste in the new code into my httpd.conf file.
$ which passenger-install-apache2-module /opt/ruby-enterprise-1.8.7-2009.10/bin/passenger-install-apache2-module $ sudo passenger-install-apache2-module


The output of all the exercises in this html are going to be displayed in the console.
Arrays
Insert the array elements separated by semicolons i.e "num_1;...;num_j;...;num_N", do not put any quotation mark. If another syntax for the array is introduced there is no guarantee for this exercise to work well.
If no array string is specified it will use the array [1,7,0,34,23,5,2] as default.
Functions
Insert the array elements separated by semicolons i.e "item_1;...;item_j;...;item_N". If another syntax for the array is introduced there is no guarantee for this exercise to work well.
If no array string is specified it will use the array ['school', 'js', 'the', 'is', 'this'] as default.
Time
Insert the time in seconds to start the Countdown.
If the number is not specified it will start from 300 seconds (5 minutes).
Storage
Insert the note you want to store.
If the number is not specified it will save "JS Rules."


Using Component with Shadow DOM enabled
I shouldn't be rendered
Using Component with Shadow DOM disabled
I shouldn't be rendered


import numpy as np
import tensorflow as tf
Placeholders are used to feed values from python to TensorFlow ops. We define two placeholders, one for input feature x, and one for output y.
x = tf.placeholder(tf.float32)
y = tf.placeholder(tf.float32)
Assuming we know that the desired function is a polynomial of 2nd degree, we allocate a vector of size 3 to hold the coefficients. The variable will be automatically initialized with random noise.
w = tf.get_variable("w", shape=[3, 1])
We define yhat to be our estimate of y.
f = tf.stack([tf.square(x), x, tf.ones_like(x)], 1)
yhat = tf.squeeze(tf.matmul(f, w), 1)
The loss is defined to be the l2 distance between our estimate of y and its true value. We also added a shrinkage term, to ensure the resulting weights would be small.
loss = tf.nn.l2_loss(yhat - y) + 0.1 * tf.nn.l2_loss(w)
We use the Adam optimizer with learning rate set to 0.1 to minimize the loss.
train_op = tf.train.AdamOptimizer(0.1).minimize(loss)
def generate_data():
x_val = np.random.uniform(-10.0, 10.0, size=100)
y_val = 5 * np.square(x_val) + 3
return x_val, y_val
sess = tf.Session()
Since we are using variables we first need to initialize them.
sess.run(tf.global_variables_initializer())
for _ in range(1000):
x_val, y_val = generate_data()
_, loss_val = sess.run([train_op, loss], {x: x_val, y: y_val})
print(sess.run([w]))
Now Let’s run the script and observe the result
$ python linear_regression.py
[array([[4.9951839e+00],
[7.4422074e-05],
[3.2835147e+00]], dtype=float32)]


Watch: Jews in Nice gather at conclusion of global Shabbat Hundreds of Jews from Nice, France, gathered Saturday night for the havdalah ceremony, after taking part in the Shabbat project. 16 Nov 2019, 23:53 by Arutz Sheva Staff


--- layout: archive author_profile: true ---
Some things I enjoy:
🤖 making machines learn
⛰ cycling, long distance running, hiking, rock climbing
📚 hunting for vintage editions at the neighbourhood book market
📖 binge reading history on Wikipedia at 1AM
🏛 discussing political science and economics over a beer
🐶 petting doggos
Back in university days I was always bewildered by how little different folks using data knew of each other. Whether it was my friends in social sciences analysing survey results with ANOVA using the IBM SPSS software or statisticians doing distributional modelling based on different assumptions or my econometrics professor who knew the proof of the Gauss-Markov theorem by heart or the AI guys claiming their deep learning was going to make the rest of science redundant, it always seemed like different faces of the same beast to me.
Whenever I asked one of these about the others, e.g. my econometrics professor about why we do not use neural networks or the AI guys about endogeneity and spurious correlations in the observational data, they couldn't tell me. This implanted a deep dissatisfaction in me, and has probably affected my career development as an empiricist and a data generalist - someone interested in all the tricks one can do using data, regardless of the domain.
I'm an applied economist by education, having done my Master's in Toulouse School of Economics. At some point in my life I was seriously considering an academic career in Economics and even got admitted to a funded PhD programme in the US, but around the same time I became interested in machine learning and its applications in the tech industry, which caused me to drop out already before starting.
After school I was lucky to receive a data lead role from Proekspert where in a year's time we established a functioning data science team that worked on a range of topics such as industrial automation, churn analytics and smart controllers. Here I learned the importance of processes, proper tooling and planning to guide the sometimes chaotic data science workflow.
Next, I worked as the head of data science for a US based real estate analytics startup. There, I drove the research roadmap revolving around everything topics such as time series forecasting at scale, portfolio optimisation (over a set of poorly defined instruments, which made off the shelf solutions not applicable) and trying to cluster neighbourhoods in a way that they would overlap with people's intuitive understanding.
Currently I'm working in a senior individual contributor role at Bolt where I've contributed to a few models running at scale in real time: dynamic pricing, fleet optimisation, routing and search experience enhancement. These days I'm mostly working on routing related stuff, making use of machine learning to capture the probabilistic nature of traffic.


Krane is an open-source platform that enables developers and sysadmins to manage Docker instances across multiple clouds. Krane is built on the Docker code base, so supports the existing Docker command-line in a multi-cloud environment. This allows Docker users to use their existing workflows to launch apps transparently in multiple clouds, saving time and further reducing the friction of moving workloads between development, QA and production.
In Krane, a ship is a virtual machine (VM) running a Docker instance into which Krane will place Docker containers. Krane (running on the developer's command line) communicates with Docker running on the ship via its API (you can run Krane on the ship if you like, but it's not necessary). Using Krane, you can execute your Docker command (such as starting or stopping a Docker container) on any ship. Ships are built as standard with a cadviser container, which monitors performance of the ship and its containers.
A Krane shipyard is a driver for Krane that is capable of building, destroying and controlling ships. We've initially provided two drivers. Firstly, a driver for AWS. Secondly, a driver for Flexiant Concerto, a multi-cloud manager that supports AWS, Digital Ocean, Rackspace, Joyent and of course Flexiant Cloud Orchestrator.
If you want to use the driver for Flexiant Concerto, you can get a free account by visiting https://signup.krane.io/; you'll need the code as well of course. If you want to use the AWS driver, you just need the code (see below). In either case, you will need to provide the credentials for your cloud providers. We would welcome contribution of additional drivers.
The code is on Github here. It's written in Go, and is based on the existing Docker source code, so we've released it under the Apache 2.0 licence. We hope to get it merged into upstream Docker.
Krane is an open-source project started by Flexiant Ltd. We welcome contributions from elsewhere.


There are many ways to help with BeeWare.
First-time Contributors
If you're new to the project (or even entirely new to open source in general), the best place to start is here. Everyone can contribute to open source, and we're here to show you how.
 Please familiarize yourself with our Development Process.
If you're looking for something to work on, and don't know where your effort would be welcome, try looking at the ticket tracker for a project of interest. There will usually be a couple of tickets with known problems; any ticket is a candidate for being fixed. Some tickets in particular will be tagged [up-for-grabs] - this indicates that they are areas of particular interest where the project would like contributions.
If you're a first time contributor, some tickets are also tagged as [first-timers-only]. These are special issues that have been selected because they're relatively simple introductions to the project, and the PyBee team will mentor any first time contributor in committing a patch for one of these issues.
Platform Usage
Do you use Windows or various flavours of Linux? Are you able to install a project or application on your system? Did you run into any problems?
If so, please update the documentation to show how you were able to get it to work, or log an issue if you've found a bug that you can't fix.
Documentation
Is the documentation up to date? Do you think things could be worded differently? Are there missing sections? Do you have an idea for a tutorial that could be written? Please submit a Pull Request!
Help translate and update this Website
Is there anything wrong or missing from this website? Please feel free to make edits and submit a pull request!
Want to help translate or update the content of this website? Visit the translations section.
Something else
If you've got your own idea for something, or if you don't see any tickets, or you want to be mentored on a ticket, or you aren't sure how to proceed, contact the project maintainers on Twitter or Gitter. The project maintainers love collaborating, especially with new contributors, and will gladly answer any questions or walk you through any problems you may encounter.


The goal of annotater
is to annotate package load calls in character strings and R/Rmd files, so we can have an idea of the overall purpose of the libraries we’re loading.
The two annotation types are also available together:
Thanks to Juan Cruz Rodriguez, we can now annotate which functions from each package are being called in a script.
pacman
compatibility
Users of the pacman
package can now use all annotater
functions on p_load
calls. This includes calls with multiple package names (e.g. p_load(ggplot2,purrr)
), which will be split up across lines for readability.
Install the CRAN release or the development version with:
# Install annotater from CRAN:
install.packages("annotater")
# install.packages("remotes")
remotes::install_github("luisDVA/annotater")
Restart RStudio after the installation for the addins to load properly.
These are the possible annotations, which can be added to character strings (with one line per element), or applied to .R or .Rmd files in RStudio through their corresponding addins.
library(annotater)
test_string <-c("library(boot)\nrequire(Matrix)")
writeLines(annotate_pkg_calls(test_string))
writeLines(annotate_repo_source(test_string))
writeLines(annotate_repo_source(test_string))
Entire .R files can also be parsed and annotated with the annotate_script
function.
tidyverse
The tidyverse
package is a meta-package with few exported functions of its own, so the annotation tools provided here (annotate_fun_calls
) will not match the functions from the various individual packages (such as dplyr
or readr
) that get attached when loading tidyverse
. This is by design, so consider loading individual packages if annotations for function calls are desired.
Feedback welcome
Thanks to Jonathan Carroll, Fırat Melih Yılmaz, and Achaz von Hardenberg for feedback and suggestions.


source:
branches/alta/mystic-0.2a1
@
421
| Name | Size | Rev | Age | Author | Last Change |
|---|---|---|---|---|---|
| ../ | |||||
| _math | 408 | 6 years | altafang | Adding tests of Mystic performance where parameters are adjusted for best … | |
| constrained_tests | 410 | 6 years | altafang | Removing constrained_tests_other because it is too outdated, and adding … | |
| examples_constrained | 401 | 6 years | altafang | Adding tests of constrained optimizations, and updating older tests | |
| solvers_under_development | 417 | 6 years | mmckerns | test_ncg uses mystic.models | |
| __init__.py | 9.2 KB | 242 | 6 years | mmckerns | edits to fix epydoc formatting and content |
| _genSow.py | 3.3 KB | 124 | 7 years | mmckerns | coerce source to mostly play nice with epydoc; added epydoc config file |
| _scipy060optimize.py | 65.0 KB | 419 | 6 years | mmckerns | reduce scipy function copies (and likely delay due to importing) |
| _scipyoptimize.py | 7.4 KB | 419 | 6 years | mmckerns | reduce scipy function copies (and likely delay due to importing) |
| abstract_map_solver.py | 7.8 KB | 242 | 6 years | mmckerns | edits to fix epydoc formatting and content |
| abstract_nested_solver.py | 5.8 KB | 242 | 6 years | mmckerns | edits to fix epydoc formatting and content |
| abstract_solver.py | 10.6 KB | 331 | 6 years | altafang | Changed constraints back to a keyword rather than a solver attribute in … |
| constraint_tools.py | 58.1 KB | 413 | 6 years | altafang | Adding some comments on constraints tools |
| constraints_input_info.txt | 8.8 KB | 413 | 6 years | altafang | Adding some comments on constraints tools |
| differential_evolution.py | 33.9 KB | 395 | 6 years | altafang | Adding tool for finding a feasible point given constraints, and allowing … |
| filters.py | 1.1 KB | 123 | 7 years | mmckerns | most of remaining module and method documentation for mystic-0.1a1; … |
| forward_model.py | 9.6 KB | 142 | 7 years | mmckerns | added documentation within mystic.forward_model and mystic.models … |
| helputil.py | 1.5 KB | 124 | 7 years | mmckerns | coerce source to mostly play nice with epydoc; added epydoc config file |
| linesearch.py | 664 bytes | 419 | 6 years | mmckerns | reduce scipy function copies (and likely delay due to importing) |
| Make.mm | 938 bytes | 419 | 6 years | mmckerns | reduce scipy function copies (and likely delay due to importing) |
| metropolis.py | 545 bytes | 124 | 7 years | mmckerns | coerce source to mostly play nice with epydoc; added epydoc config file |
| mystic_test_best_performance.py | 8.2 KB | 408 | 6 years | altafang | Adding tests of Mystic performance where parameters are adjusted for best … |
| mystic_test_suite.py | 140.1 KB | 401 | 6 years | altafang | Adding tests of constrained optimizations, and updating older tests |
| nested.py | 14.4 KB | 242 | 6 years | mmckerns | edits to fix epydoc formatting and content |
| python_map.py | 2.1 KB | 242 | 6 years | mmckerns | edits to fix epydoc formatting and content |
| README | 384 bytes | 224 | 6 years | mmckerns | cleanup after core of pyina moves to pathos; remainder moves to mpimystic |
| scemtools.py | 7.6 KB | 125 | 7 years | mmckerns | added authors, license, copyright, and etc information |
| scipy_bfgs.py | 15.6 KB | 421 | 6 years | mmckerns | cg & bfgs now work regardless if fprime provides list or ndarray |
| scipy_cg.py | 14.0 KB | 421 | 6 years | mmckerns | cg & bfgs now work regardless if fprime provides list or ndarray |
| scipy_ncg.py | 16.8 KB | 418 | 6 years | mmckerns | centralized support for (modified) scipy helper functions |
| scipy_optimize.py | 28.0 KB | 418 | 6 years | mmckerns | centralized support for (modified) scipy helper functions |
| strategy.py | 10.0 KB | 124 | 7 years | mmckerns | coerce source to mostly play nice with epydoc; added epydoc config file |
| sumt.py | 17.1 KB | 413 | 6 years | altafang | Adding some comments on constraints tools |
| svctools.py | 1.1 KB | 124 | 7 years | mmckerns | coerce source to mostly play nice with epydoc; added epydoc config file |
| svmtools.py | 1.5 KB | 88 | 7 years | mmckerns | added branch that merges mystic/trunk and branches/pyina at r87; reduced … |
| termination.py | 4.8 KB | 410 | 6 years | altafang | Removing constrained_tests_other because it is too outdated, and adding … |
| test_gradient_bounds.py | 3.8 KB | 404 | 6 years | altafang | The gradient solvers don't handle box bounds well, as they are implemented … |
| test_problems_unconstrained.py | 6.9 KB | 383 | 6 years | altafang | Adding a tentative particle swarm optimizer and organizing solvers that … |
| tools.py | 10.4 KB | 344 | 6 years | altafang | Adding a better interface for inputting constraints, making it easier to … |
Note: See TracBrowser
for help on using the repository browser.


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GOUser
core.user.users.GOUser(id=None, simulation_mode=None, goal_set=None)
Abstract Base Class of all type of Goal-Oriented conversational users. The user is taking an action after each turn. One user action is represented as a dictionary having the exact same structure as the agent action, which is:
- diaact : the act of the action
- inform_slots : the set of informed slots
- request_slots : the set of request slots
- nl : the natural language representation of the agent action
Also, the user is having a goal to follow, which is also a dictionary with the same structure as the user or agent action, with the difference that all information is provided.
Moreover, the agent is keeping its own internal state, for its last turn, represented as a dictionary, which is:
- diaact : the user's dialogue act
- inform_slots : the user's inform slots from its previous turn
- request_slots : the user's request slots from its previous turn
- history_slots : the history of all user's inform slots
- rest_slots : the history of all user's slots
Class members:
- id : the id of the user
- current_turn_nb : the number of the current dialogue turn
- state : user internal state, keeping record of the past and current actions
- simulation_mode : semantic frame or natural language sentence form of user utterances
- goal_set : the set of goals for the user
- goal : the user goal in the current dialogue turn
GORealUser
core.user.users.GORealUser(id=None, goal_set=None)
Class connecting a real user, writing on the standard input. Extends the GOUser
class.
Class members:
GOSimulatedUser
core.user.users.GOSimulatedUser(id=None, simulation_mode=None, goal_set=None, slot_set=None, act_set=None)
Abstract Base Class for all simulated users in the Goal-Oriented Dialogue Systems.
Extends the GOUser
class.
Class members:
- slot_set : the set of all slots in the dialogue scenario
- act_set : the set of all acts (intents) in the dialogue scenario
-
dialog_status : the status of the dialogue from the user perspective. The user is deciding whether the dialogue is finished or not. The dialogue status could have the following value:
- NO_OUTCOME_YET : the dialogue is still ongoing
- SUCCESS_DIALOG : the dialogue was successful, i.e. the user achieved the goal
- FAILED_DIALOG : the dialogue failed, i.e. the user didn't succeed to achieve the goal
GORuleBasedUser
core.user.users.GORuleBasedUser(id=None, simulation_mode=None, goal_set=None, slot_set=None, act_set=None, init_inform_slots=None, ultimate_request_slot=None)
Abstract class representing a rule-based user in the Goal-Oriented Dialogue Systems.
Since, it is a rule-based simulated user, it will be domain-specific.
Extends the GOUser
class.
Class members:
-
init_inform_slots : list of initial inform slots, such that if the current user goal is containing some of them, they must appear in the initial user turn
-
ultimate_request_slot : the slot that is the actual goal of the user, and everything is around this slot.
GOModelBasedUser
core.user.users.GOModelBasedUser(id=None, simulation_mode=None, goal_set=None, slot_set=None, act_set=None, is_training=None, model_path=None)
Class representing a model based user in the Goal-Oriented Dialogue Systems.
Extends the GOUser
class.
Class members:
- is_training : boolean flag indicating the mode of using te model-based state tracker
- model_path : the path to save or load the model


In recognition of the long and distinguished services to the New Zealand Agricultural Economics Society and the Agricultural Economics Profession in New Zealand and Australia, I move from the Chair that Dr Johnson be awarded the very first life membership of the New Zealand Agricultural Economics Society.
Dr Johnson served in the inagural committee of the New Zealand branch of the Australian Agricultural Economics Society in 1976 and assumed the Presidency of the Branch in 1978. He bas been a member of the Management Committee on many occassions, the last being in 1992-1993. He has always been very perceptive and constructive in his feedback on Committee matters.
Dr Johnson's record of professional service in New Zealand dates back thirty years to 1965, when he arrived back at the Lincoln College Agricultural Economics Research Unit (AERU) as a Senior Research Officer, following a seven-year period as a lecturer at the University of Rhodesia.
After seven years at the AERU, he was appointed Deputy Director of the Economics Division at the Ministry of Agriculture and Fisheries (MAF) in Wellington in which capacity be served until 1985. He then served as a Research Fellow at the Centre for Policy Studies at Massey University for a three year period before returning to MAF in 1989 as a Senior Policy Consultant attached to the Rural Resources Group.
Dr Johnson retired trom MAF in 1993, which also coincided with his assuming the presidency of Australian Agricultural Economics Society (AAES), the first New Zealander to hold this position. He also took up the responsibility of hosting the AAES Conference in Wellington, New Zealand. Simultaneously, he assumed the editorship of Review of Marketing and Agricultural Economics (RMAE) in which capacity he would have served for a four-year period, when he completes his tenure at the end of 1996.
Dr Johnson has had several journal articles published in the South African and the Rhodesian Journal of Economics as well as the Australian Journal of Economics and the Review of Marketing and Agricultural Economics in Australia. He has also edited numerous reports and books during his long career and has presented countless papers at the New Zealand, Australian and international conferences over the years.
He has always been a driving force and a guiding light for many members of our profession throughout his service in New Zealand, particularly at MAF.
We wish him continued success in his undertakiings when be actually "retires" in 1997 with the relinquishment of his role as the Editor of RMAE. We also wish Robin and his wife, Ruth, good health and a long productive life together.
Ram SriRamaratnam
1996 President
On behalf of the entire NZAES membership


Communication with the 1-Wire network is through an ‘adapter’ (com.dalsemi.onewire.adapter.DSPortAdapter class). Physically speaking, an adapter is a hardware device through which the 1-Wire master communicates to the network of 1-Wire devices (1-Wire network). Many adapters exist for the different kinds of ports on a PC such as the serial, parallel, or USB ports. Please see the OW.NET Adapter List for a comprehensive list of adapters available for the PC. The software implementation of the adapter is DSPortAdapter(). The static class, ‘com.dalsemi.onewire.OneWireAccessProvider’ is used to get an adapter class instance. All of the adapters can be enumerated or a specifc (or the default) adapter can be retrieved (enumerateAllAdapters(), getAdapter(), and getDefaultAdapter()). Each adapter may support multiple ‘ports’ so a 1-Wire network consists of an adapter/port combination. Here is a brief list of the operations needed to access and use the 1-Wire network.
1. Get an adapter instance
2. Get exclusive use of the 1-Wire network
3. Find a 1-Wire device
4. Perform operations through the device’s container
5. End exclusive use of the 1-wire network
6. Free the port when ending application
Note that ‘1.’ and ‘6.’ are performed only once at the beginning and end of the application. ‘2.’ through ‘5.’ comprise the bulk of the 1-Wire operations and are performed multiple times during the execution of an application.
Default 1-Wire Network
For .NET applications, the default 1-Wire Network (adapter on a
specific port) is retrieved
through the OneWireAccessProvider method "getDefaultAdapter":
Dim adapter As
com.dalsemi.onewire.adapter.DSPortAdapter
adapter = com.dalsemi.onewire.OneWireAccessProvider.getDefaultAdapter
This method actually retrieves the default 1-Wire Network from the
Windows system
registry. More information on what these keys are, see White Paper 6:
1-Wire Drivers
Installation Guide for Windows:
http://www.maximintegrated.com/an1740
Alternatively, the programmer can also retrieve a specific adapter using
OneWireAccessProvider's "getAdapter" method. Here's an example that
retrieves the
DS9490 adapter on port 1:
Dim adapter As
com.dalsemi.onewire.adapter.DSPortAdapter
adapter =
com.dalsemi.onewire.OneWireAccessProvider.getAdapter("{DS9490}", "USB1")
The current adapter list is (brackets required):
{DS9490}
{DS9097U}
{DS1410E}
{DS9097E}
Since the adapters being used currently in the .NET version of the
1-Wire API are through TMEX, they need the brackets.  The names can be USB, COM,
or LPT. The numbers can be 0-15. Examples are:
USB1
COM1
LPT1
Access to 1-Wire Network
To allow for multi-thread access to the 1-Wire network, a pair of methods are provided in the adapter class to give exclusive access. They are ‘beginExclusive()’ and ‘endExclusive()’. It is recommended that this pair wrap any access to the 1-Wire network.
The beginExclusive method is invoked on an adapter object to obtain a lock on the underlying physical adapter. Once the lock is owned by a particular adapter, no other adapter instance can invoke methods that result in communication with either the port adapter directly or the 1-Wire network it controls. Any attempt to do so results in a OneWireException being thrown. The lock applies to other processes as well as other threads within the same process. The lock can be freed by either of two mechanisms. Typically, the adapter instance that owns the lock will invoke endExclusive, voluntarily releasing the lock. Also, the lock will automatically be freed in the event that the owning process terminates without invoking endExclusive.
The boolean value passed to beginExclusive specifies whether the
caller wishes to wait until the lock is free or return immediately
regardless of the lock’s state. If block is false, beginExclusive will
immediately return true in the event that the lock was successfully
acquired and false otherwise. If block is true, beginExclusive will
attempt to acquire the lock; if it is already owned by another adapter
instance, beginExclusive blocks indefinitely until the lock has been
freed and it can claim ownership. When block is true and beginExclusive
returns normally (that is, non-abruptly), it will always return true.
Finding 1-Wire devices (and iButtons)
Each 1-Wire device type is identified with a 1 byte ‘family code’. This family code is used to provide the appropriate container and can also be used to limit the search of the 1-Wire Network to one or more device types (see family code list below). For example the following code fragment will search for devices with 0x10 family code. Note that ‘adapter’ is a working instance of DSPortAdapter.
Note that there are other search methods (findFirstDevice() and
findNextDevice()) that do not automatically create a container and may
be quicker if speed is essential. Also see these other methods for
search options: getAddress(), getDeviceContainer(), excludeFamily(),
setSearchOnlyAlarmDevices(), and setNoResetSearch().
1-Wire Containers
As described in the ‘Finding 1-Wire Devices’ section, each type of 1-Wire device has a ‘family code’ that indicates its functionality. The adapter uses this family code to provide a ‘container’ to interface to it. The container (com.dalsemi.onewire.container.OneWireContainer) is then used by th e application to manipulate the device. Each container class has the following format OneWireContainerXX where XX is the ‘family code’. For example, the DS1920 has a family code of 0x10 so the container to use it is OneWireContainer10. The adapter will automatically provide the correct container . If the family code is unknown then the adapter will provide the super-class generic container.
For a list of the containers (and family codes) provided in this
API, see Application Note 155:
"1-Wire Software Resource Guide Device Description" (specifically,
Table 1).
Types of Containers
Memory
The base class of all containers ‘OneWireContainer’ has a method called ‘getMemoryBanks()’ that returns an enumeration of memory bank instances. A memory bank is a section of memory on a 1-Wire device that has specific properties. For example the 1-Wire Network Address of a device is a read-on ly bank of 8 bytes. This technique is used to get a handle on the diverse types of memory that comprise 1-Wire devices. There are three interfaces that the memory bank may implement. These interfaces are hierarchical:
MemoryBank – basic read/write (getSize(), read(),
write()..)
PagedMemoryBank (extends MemoryBank) – paged read/write with
packets (getNumberPages(), readPage(), writePagePacket()..)
OTPMemoryBank (extents PagedMemoryBank) – One-Time-Programmable,
usually EPROM (canRedirectPage(), lockPage())
See the example ‘MemoryBanks’ for an example application that utilizes memory banks.
Any 1-Wire devices that contain memory can also use the 1-Wire File system. The following classes in the com.dalsemi.onewire.utils package can be used just like the Java equivalient:
OWFile – Like java.io.File
OWFileInputStream – Like java.io.FileInputStream
OWFileOutputSTream – Like java.io.FileInputStream
OWFileDescriptor – Like java.io.FileDescriptor
See the example ‘FileApp’ to demonstrate using the 1-Wire file
system. The specification for the 1-Wire file system can be found in
Application Note 114:
http://www.maximintegrated.com/an114
Sensor
A 1-Wire Sensor is a device that can make a reading or change the state of something physical (such as a DS2413 switch). Typically the operations of 1-Wire Sensors is memory mapped so writing to a particular location causes the state to change. To accommodate this type of architecture and reduce the number of 1-Wire operations that need to take place, a ‘read-modify-write’ technique is used. Each Sensor interface is derived from a super-interface (com.dalsemi.onewire.container.OneWireSensor) that contain just two methods: readDevice(), writeDevice(). The read returns a byte array and the write takes a byte array (or for .NET users, an array of SBytes). The byte array is the state of the device. The interfaces that extend this interface have ‘get’ and ‘set’ methods that manipulate the byte array. So a OneWireSensor operation is:
1. readDevice()
2. ‘get’ and ‘set’ methods
3. writeDevice()
The following is a list of the interfaces and a brief description. Note that the container list above indicates the interfaces used.
ADContainer
- A/D
sensor
ClockContainer
– clock
SwitchContainer
– switch
TemperatureContainer
– temperature reading sensor
PotentiometerContainer
- digital potentiometer device
HumidityContainer–
humidity reading sensor
Overdrive Speed with 1-Wire Containers
Most 1-Wire devices support Overdrive speed, a 1-Wire Net communication speed that supports up to 142 k-bits/second of 1-Wire data. The method getMaxSpeed(), defined in OneWireContainer, will tell you if you're device can support Overdrive speed.
Communicating with a device in Overdrive speed just requires that you call the setSpeed(int,boolean), defined in OneWireContainer. The boolean value indicates whether or not it is okay for the device to fall back to a slower speed if communication fails. The DSPortAdapter object also has a set Speed(int) method, but it is not advisable to call this one directly. Instead, allowing the container itself to be the only entity who manipulates the DSPortAdapter's state, you can be assured that the two will not be out of sync.
Also, if you're in a situation where you have devices on the 1-Wire Net who support Overdrive and devices that don't, it's important to remember that regular speed communication will cause devices in Overdrive mode to revert to regular speed. This change of 1-Wire speed could potentially cause I /O errors on the devices that were in Overdrive the first time they are accesses after the speed change. The opposite situation (Overdrive communication on the same network with devices in regular speed) is harmless. Calling the OneWireContainer’s doSpeed() method will force a re-negotiation of th e 1-Wire speed. However this can be a slow procedure on some platforms so it should not be called indiscriminately. The OneWireContainer’s implementation specific methods (clock methods, temperature methods, memory methods ...) will automatically call doSpeed() at appropriate times.


{% if page.url == "/" or page.url == "/404.html" %} {% assign is_home = true %} {% else %} {% assign is_home = false %} {% endif %}
{% if jekyll.environment == 'production' and site.google_analytics %} {% endif %} {% feed_meta %} {% seo %}Comparison and Analysis of different AutoML frameworks.
In the pursuit of leveraging the potential of data, companies usually rely on ML technologies. Applications of ML range from detecting anomalies in the operation and non-specialized machines designed to learn by themselves, to optimization of routing through demand forecasting. Its most common use cases are for knowledge extraction operations and as the core technology underlying the control of processes and products. Projects that rely on the application of ML are usually referred to as ML projects. Although this naming is useful to get a straightforward view of the main idea, it conceals several tasks such as data preparation and implementation of the results.
We evaluated AutoML systems with respect to what they propose to achieve, but also evaluated the largest share of them with test data from the production domain. The AutoML Systems that are included in our Analysis are: Auto-WEKA, Hyperopt-sklearn, Auto-sklearn, Auto-PyTorch, TPOT, The Automatic Statistician, Feature Tools, Categorical-encoding, tsfresh, FeatureHub, ATM, Auto_ml, H2O AutoML, Devol, SAS, MLBox, Google AutoML, Azure Machine Learning, Amazon SageMaker, Uber Ludwig, AutoKeras, ExploreKit, TransmogrifAI, Darwin, MLJar, DataRobot. Not all of the AutoML systems included in the Analysis have been benchmarked. The main criteria for selecting the most suitable system for a use case from production were: the ease-of-use, both in terms of user experience and knowledge requirements; the coverage of the required tools, e.g., if a tool provides the algorithms that are necessary for a given project; and the inclusion of domain knowledge.
A "-" means that the information is not explicitly given by the system.
An empty field means that the information is missing in the current version of our Analysis
The currently demonstrated results have been generated on the CNC Mill Tool Wear data set. A future version of this benchmark will futher include the results generated on the SECOM data set .
A "-" means that the information is not explicitly given by the system.
An empty field means that the information is missing in the current version of our Analysis
A "-" means that the information is not explicitly given by the system.
An empty field means that the information is missing in the current version of our Analysis
A "-" means that the information is not explicitly given by the system.
An empty field means that the information is missing in the current version of our Analysis
A "-" means that the information is not explicitly given by the system.
An empty field means that the information is missing in the current version of our Analysis
The past developments in the area of AutoML indicate that progress towards improved automation of specific steps within the ML pipeline can be expected. Overall a full automation of the whole ML pipeline from Data Integration to Deployment is a concept that requires more research. In the near future, it can be expected that tasks such as Modeling will be automated enough so that ML models will be created with little to no ML knowledge. Semi-AutoML systems that support data scientists in other activities can be expected in the future as well.
In order of appearance in Benchmark Table
Komer B, Bergstra J, Eliasmith C (2019) Hyperopt-Sklearn. in Hutter F, Kotthoff L, Vanschoren J, (Eds.). Automated Machine Learning. Springer International Publishing. Cham, pp. 97–111. ↩
Feurer M, Klein A, Eggensperger K, Springenberg JT, Blum M, Hutter F (2019) Auto-sklearn: Efficient and Robust Automated Machine Learning. in Hutter F, Kotthoff L, Vanschoren J, (Eds.). Automated Machine Learning. Springer International Publishing. Cham, pp. 113–134. ↩
Olson RS, Moore JH (2019) TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning. in Hutter F, Kotthoff L, Vanschoren J, (Eds.). Automated Machine Learning. Springer International Publishing. Cham, pp. 151–160. ↩
H2O.ai. AutoML: Automatic Machine Learning — H2O <IP_ADDRESS> documentation. http://docs.h2o.ai/h2o/latest-stable/h2o-docs/automl.html (accessed on 20.11.2019). ↩
SAS Institute Inc. SAS Visual Data Mining and Machine Learning. https://www.sas.com/en_us/software/visual-data-mining-machine-learning.html (accessed on 26.01.2020). ↩
ARONIO DE ROMBLAY A. MLBox Documentation. https://mlbox.readthedocs.io/en/latest/index.html (accessed on 20.11.2019). ↩
Google Cloud. Best practices for creating training data | AutoML Tables Documentation | Google Cloud. https://cloud.google.com/automl-tables/docs/data-best-practices#tables-does (accessed on 20.11.2019). ↩
Microsoft Azure. Azure Machine Learning documentation. https://docs.microsoft.com/en-us/azure/machine-learning/ (accessed on 20.11.2019). ↩
Feurer M, Klein A, Eggensperger K, Springenberg JT, Blum M, Hutter F (2019) Auto-sklearn: Efficient and Robust Automated Machine Learning. in Hutter F, Kotthoff L, Vanschoren J, (Eds.). Automated Machine Learning. Springer International Publishing. Cham, pp. 113–134. ↩


Description
- The three week long Nandadevi Rajjaat is one of the world famous festival of Uttaranchal.
- People from entire Garhwal-Kumaon as well as other parts of India and the world participate in Nandadevi Raj Jat Yatra.
- Goddess Nanda Devi is worshipped at dozens of places in Kumaon, but the region around Mt. Nanda Devi and its sanctuary, which falls
in the districts of Pithoragarh, Almora and Chamoli, is the prime area related to Nanda Devi.
- In Chamoli Nanda Devi Rajjaat is organized once in 12 years.
- The jaat starts from Nauti village near Karnprayag and goes upto the heights of Roopkund and Haemkund with a four horned sheep.
- After the havan-yagna is over, the sheep is freed with decorated
ornaments, food and clothings and the other offerings are dischared.
- People also celebrate the annual Nanda jaat.
- Though in the Johar region there is no tradition of Nanda Rajjaat but the
worship, dance and the ritual of collecting Brahmkamals (it is called Kaul Kamphu) is part of Nanda festivals.


@(predictions: List[SitePrediction]) @main("Predictions") {
@prediction.address
Here is some more information about this product that is only revealed once clicked on.


| 1 | /* =========================================================== | |
| 2 | * JFreeChart : a free chart library for the Java(tm) platform | |
| 3 | * =========================================================== | |
| 4 | * | |
| 5 | * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors. | |
| 6 | * | |
| 7 | * Project Info: http://www.jfree.org/jfreechart/index.html | |
| 8 | * | |
| 9 | * This library is free software; you can redistribute it and/or modify it | |
| 10 | * under the terms of the GNU Lesser General Public License as published by | |
| 11 | * the Free Software Foundation; either version 2.1 of the License, or | |
| 12 | * (at your option) any later version. | |
| 13 | * | |
| 14 | * This library is distributed in the hope that it will be useful, but | |
| 15 | * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY | |
| 16 | * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public | |
| 17 | * License for more details. | |
| 18 | * | |
| 19 | * You should have received a copy of the GNU Lesser General Public | |
| 20 | * License along with this library; if not, write to the Free Software | |
| 21 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, | |
| 22 | * USA. | |
| 23 | * | |
| 24 | * [Java is a trademark or registered trademark of Sun Microsystems, Inc. | |
| 25 | * in the United States and other countries.] | |
| 26 | * | |
| 27 | * --------------- | |
| 28 | * ShipNeedle.java | |
| 29 | * --------------- | |
| 30 | * (C) Copyright 2002-2008, by the Australian Antarctic Division and | |
| 31 | * Contributors. | |
| 32 | * | |
| 33 | * Original Author: Bryan Scott (for the Australian Antarctic Division); | |
| 34 | * Contributor(s): David Gilbert (for Object Refinery Limited); | |
| 35 | * | |
| 36 | * Changes: | |
| 37 | * -------- | |
| 38 | * 25-Sep-2002 : Version 1, contributed by Bryan Scott (DG); | |
| 39 | * 27-Mar-2003 : Implemented Serializable (DG); | |
| 40 | * 09-Sep-2003 : Added equals() method (DG); | |
| 41 | * 08-Jun-2005 : Implemented Cloneable (DG); | |
| 42 | * 22-Nov-2007 : Implemented hashCode() (DG); | |
| 43 | * | |
| 44 | */ | |
| 45 | ||
| 46 | package org.jfree.chart.needle; | |
| 47 | ||
| 48 | import java.awt.Graphics2D; | |
| 49 | import java.awt.geom.Arc2D; | |
| 50 | import java.awt.geom.GeneralPath; | |
| 51 | import java.awt.geom.Point2D; | |
| 52 | import java.awt.geom.Rectangle2D; | |
| 53 | import java.io.Serializable; | |
| 54 | ||
| 55 | /** | |
| 56 | * A needle in the shape of a ship, for use with the | |
| 57 | * {@link org.jfree.chart.plot.CompassPlot} class. | |
| 58 | */ | |
| 59 | public class ShipNeedle extends MeterNeedle | |
| 60 | implements Cloneable, Serializable { | |
| 61 | ||
| 62 | /** For serialization. */ | |
| 63 | private static final long serialVersionUID =<PHONE_NUMBER>69435612L; | |
| 64 | ||
| 65 | /** | |
| 66 | * Draws the needle. | |
| 67 | * | |
| 68 | * @param g2 the graphics device. | |
| 69 | * @param plotArea the plot area. | |
| 70 | * @param rotate the rotation point. | |
| 71 | * @param angle the angle. | |
| 72 | */ | |
| 73 | protected void drawNeedle(Graphics2D g2, Rectangle2D plotArea, | |
| 74 | Point2D rotate, double angle) { | |
| 75 | ||
| 76 | GeneralPath shape = new GeneralPath(); | |
| 77 |
1
1. drawNeedle : removed call to java/awt/geom/GeneralPath::append → NO_COVERAGE |
shape.append(new Arc2D.Double(-9.0, -7.0, 10, 14, 0.0, 25.5, |
| 78 | Arc2D.OPEN), true); | |
| 79 |
1
1. drawNeedle : removed call to java/awt/geom/GeneralPath::append → NO_COVERAGE |
shape.append(new Arc2D.Double(0.0, -7.0, 10, 14, 154.5, 25.5, |
| 80 | Arc2D.OPEN), true); | |
| 81 |
1
1. drawNeedle : removed call to java/awt/geom/GeneralPath::closePath → NO_COVERAGE |
shape.closePath(); |
| 82 |
1
1. drawNeedle : removed call to java/awt/geom/AffineTransform::setToTranslation → NO_COVERAGE |
getTransform().setToTranslation(plotArea.getMinX(), plotArea.getMaxY()); |
| 83 |
2
1. drawNeedle : Replaced double division with multiplication → NO_COVERAGE 2. drawNeedle : removed call to java/awt/geom/AffineTransform::scale → NO_COVERAGE |
getTransform().scale(plotArea.getWidth(), plotArea.getHeight() / 3); |
| 84 |
1
1. drawNeedle : removed call to java/awt/geom/GeneralPath::transform → NO_COVERAGE |
shape.transform(getTransform()); |
| 85 | ||
| 86 |
2
1. drawNeedle : negated conditional → NO_COVERAGE 2. drawNeedle : negated conditional → NO_COVERAGE |
if ((rotate != null) && (angle != 0)) { |
| 87 | /// we have rotation | |
| 88 |
1
1. drawNeedle : removed call to java/awt/geom/AffineTransform::setToRotation → NO_COVERAGE |
getTransform().setToRotation(angle, rotate.getX(), rotate.getY()); |
| 89 |
1
1. drawNeedle : removed call to java/awt/geom/GeneralPath::transform → NO_COVERAGE |
shape.transform(getTransform()); |
| 90 | } | |
| 91 | ||
| 92 |
1
1. drawNeedle : removed call to org/jfree/chart/needle/ShipNeedle::defaultDisplay → NO_COVERAGE |
defaultDisplay(g2, shape); |
| 93 | } | |
| 94 | ||
| 95 | /** | |
| 96 | * Tests another object for equality with this object. | |
| 97 | * | |
| 98 | * @param object the object to test. | |
| 99 | * | |
| 100 | * @return A boolean. | |
| 101 | */ | |
| 102 | public boolean equals(Object object) { | |
| 103 |
1
1. equals : negated conditional → KILLED |
if (object == null) { |
| 104 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; |
| 105 | } | |
| 106 |
1
1. equals : negated conditional → SURVIVED |
if (object == this) { |
| 107 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return true; |
| 108 | } | |
| 109 |
2
1. equals : negated conditional → KILLED 2. equals : negated conditional → KILLED |
if (super.equals(object) && object instanceof ShipNeedle) { |
| 110 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → KILLED |
return true; |
| 111 | } | |
| 112 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; |
| 113 | } | |
| 114 | ||
| 115 | /** | |
| 116 | * Returns a hash code for this instance. | |
| 117 | * | |
| 118 | * @return A hash code. | |
| 119 | */ | |
| 120 | public int hashCode() { | |
| 121 |
1
1. hashCode : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return super.hashCode(); |
| 122 | } | |
| 123 | ||
| 124 | /** | |
| 125 | * Returns a clone of this needle. | |
| 126 | * | |
| 127 | * @return A clone. | |
| 128 | * | |
| 129 | * @throws CloneNotSupportedException if the ShipNeedle | |
| 130 | * cannot be cloned (in theory, this should not happen). | |
| 131 | */ | |
| 132 | public Object clone() throws CloneNotSupportedException { | |
| 133 |
1
1. clone : mutated return of Object value for org/jfree/chart/needle/ShipNeedle::clone to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return super.clone(); |
| 134 | } | |
| 135 | ||
| 136 | } | |
| 137 | ||
Mutations | ||
| 77 |
1.1 |
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| 79 |
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| 81 |
1.1 |
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| 82 |
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| 83 |
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| 84 |
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| 86 |
1.1 2.2 |
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| 88 |
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| 89 |
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| 92 |
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| 103 |
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| 104 |
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| 106 |
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| 107 |
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| 109 |
1.1 2.2 |
|
| 110 |
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| 112 |
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| 121 |
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| 133 |
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RUNAWAY BRIDE RATING: 5.5 / 10 --> Not good enough to recommend
For more movie reviews and trivia, visit http://www.joblo.com/
Maybe I'm just a bigger fan of the original films that spawned the latest batch of romantic comedies, YOU'VE GOT MAIL (5.5/10)-see SLEEPLESS IN SEATTLE, NOTTING HILL (5.5/10)-see FOUR WEDDINGS AND A FUNERAL, and RUNAWAY BRIDE (5.5/10)-see PRETTY WOMAN, but ultimately, I just found the most recent crop of big-name star flicks to be too predictable and generally uninteresting.
PLOT: A cynical big city reporter finds a good story in a small town girl's penchant for dropping her soon-to-be hubbies at the altar.
CRITIQUE: This film never bored me, but never really entertained me either. It was just there. I can't truly recommend it because despite some good performances from Julia Roberts and Joan Cusack, the overall comedy in the film was lacking and the romance didn't truly ignite until the film's final fifteen minutes. Richard Gere also seemed bored to be there, and essentially walked through his role and directly to the bank to cash in his big-ass paycheck for this redundant part. Others seemed exaggerated and unbelievably ignorant to believe (Why on earth was husband #4 so chummy with the conniving reporter who was in town solely to disprove their real love for one another?).
The general lack of suspense or believability of this film also left me ho-humming past its overstated soundtrack, which featured easy-to-follow words associated to the specific scenes, and the overdone montage sequences which are generally used to pump up a weak script. I did enjoy Joan Cusack as the quirky friend and some of the lessons learned, but overall this film lacked the much needed charisma and chemistry that made PRETTY WOMAN what it was. This film is a much better choice as video fodder on a lazy summer afternoon, and might be enjoyed by most Gere and Roberts fans, but the rest of us movie-going folk who like to see movies with plenty of romance, comedy and charm, should certify this film as bride's maid, and check out the ultimate bride, WHEN HARRY MET SALLY (10/10).
Little Known Facts about this film and its stars: Rumor has it that Julia Roberts was once a "runaway bride" of her own. Actor Kiefer Sutherland and her were engaged to be married back in the day, when she suddenly bolted on him, and left him for fellow actor and friend, Jason Patric. Richard Gere has been a Buddhist for over a decade, and was banned from the Oscars once after making anti-China comments on the air at the 1993 ceremony. He is also an accomplished pianist and music writer. He hails from Philadelphia, Pennsylvania. Alumni from PRETTY WOMAN include director Garry Marshall, actors Julia Roberts, Richard Gere, Hector Elizondo and Larry Miller. Elizondo is considered by director/producer Garry Marshall to be his "good luck charm", and as such is offered a role in each of his movies. Director Marshall also makes a cameo in this film as the first baseman during the baseball game sequence. He would be the one catching the ball that is tossed over to first base. Actress Rita Wilson is married to super-star movie actor Tom Hanks. This film was originally titled PRETTY BRIDE.
Review Date: July 31, 1999 Director: Garry Marshall Writers: Sara Parriott and Josann McGibbon Producers: Robert W. Cort, Ted Field, Scott Kroopf and Tom Rosenberg Actors: Julia Roberts as Maggie Carpenter Richard Gere as Ike Graham Genre: Romantic Comedy Year of Release: 1999 --------------------------------------- JoBlo's Movie Emporium http://www.joblo.com --------------------------------------- (c) 1999 Berge Garabedian
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About the event
The day India was formed as a republic is always a proud day for us.. This day is a special day for all of us and everyone celebrates it in his/her special way. Parades are organised, National flag is hoisted at many places, cultural events are organised across the nation. Even those at home don't miss to watch the National pride being telecast live from Rajpath.
How can a runner or a fitness enthusiast show his Pride for Nation..? By running.. !!!
We thought of organising a marathon at one place but then why to limit our National pride to a confined region. Let's make it a nation-wide celebration. Let all runners across the country run and pay tribute to the Nation. Hence we have the Republic Day Virtual Run. Run at your chosen place and at your chosen time.
Schedule Detail
Virtual Run Registrations and Run Details Submissions are as follows:
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09.00 AM
Registration starts.
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11:30 PM
Registration Closes
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00.00 AM
Run the distance anytime of the day…
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11.30 PM
Upload Data Link Opens
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9.00 AM
Upload Data Link Closes
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9.00 AM
Medals start shipoing
Run Information
Run anytime of the day and Anywhere where you want - Run wherever you are comfortable, on your favourite route, in the town you are visiting or in a nearby stadium. Run at whatever time you are comfortable at (or get the time) in the whole of 24hrs, starting from 0000 hrs till 2400 hrs (IST), on 26th January 2019. Just get on the road and salute the Republic of India.
Runners record their individual runs in any GPS based sports app. Completion is based on Honour System. Share your run details with us later.
Register Form (Registraion Will start in few days)
One Nation, One Run
Our Sponsors
If you want your brand to be associated with the event please fill contact us form with your details.
Contact Us
Email us @ virtualrun19@gmail.com


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Catering to the needs of the patients
Patients no longer have to wait endlessly in the waiting room!
The familes of patients will know exactly when and where to pick up their loved ones!
Improve patient flow by allowing doctors to notify their next patients as soon as they are ready!


WITNESS LIST Insurance Committee March 21, 2005-1:15P HB 417 For: Gardner, Glen (Texas VFW, Texas Coalition of Veterans Org.) Markovsky, Walter (ASI Tricare Supplement) On: Nail, William (ERS) HB 933 On: Pettigrew, Karen (Office of the Attorney General) HB 978 For: McCandless, Pati (UniCare, Texas Association of Health Plans) Rummel, Leah (Texas Association of Health Plans) HB 998 For: Davis, Will (Texas Association of Life and Health Insurers) Nation, Brenda (American Council of Life Insurers) O'Keefe, Patrick (USAA) Wendell, Ware (Texas Watch) On: Brady, Kevin (Texas Department of Insurance) Kipper, Scott (America's Health Insurance Plans) HB 1018 For: Herrera, Sara (Texas Association of Private Bus Owners) Lozano, Gloria (Texas Association of Private Bus Owners) Thomas, Mary Stella (Texas Association of Private Bus Owners) HB 1030 For: Green, Shelton (Texas Association of Business) McCandless, Pati (UniCare, Texas Association of Health Plans) Rummel, Leah (Texas Association of Health Plans) Willis, Richard (Humana Inc.) Against: Besthelsen, Spencer (Texas Medical Association) Suiter, Kim (National Multiple Sclerosis Society Texas Chapters) On: Bingham, Bill (Texas Department of Insurance) Kolodzey, Patricia (Texas Hospital Association) HB 1201 For: Davis, Will (Texas Association of Life and Health Insurers) HB 1328 For: Dyer, Jay (Texas Association of Builders) HB 1570 For: Fowler, Jenny (Humana, Inc.) Green, Shelton (Texas Association of Business) Hammond, Deborah (Pacificare Health Systems) McCandless, Pati (UniCare, Texas Association of Health Plans) Rummel, Leah (Texas Association of Health Plans) Against: Besthelsen, Spencer (Texas Medical Association) Kolodzey, Patricia (Texas Hospital Association) Suiter, Kim (National Multiple Sclerosis Society Texas Chapters) HB 1585 For: Besteiro, Ollie (AARP) Wendell, Ware (Texas Watch) Against: Davis, Will (USAA) Floyd, Beaman (TCAIS, Allstate, Sate Farm, Nationwide, American Insurance Association) Thompson, Jay (AFACT) On: Peacock, Bill (Texas Public Policy Foundation)


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java.lang.Object org.apache.naming.resources.ResourceCache
Implements a special purpose cache.
| Field Summary | |
protected long |
accessCount
Number of accesses to the cache. |
protected CacheEntry[] |
cache
Cache. |
protected int |
cacheMaxSize
Max size of resources which will have their content cached. |
protected int |
cacheSize
Current cache size in KB. |
protected long |
desiredEntryAccessRatio
Entry hit ratio at which an entry will never be removed from the cache. |
protected long |
hitsCount
Number of cache hits. |
protected int |
maxAllocateIterations
Max amount of removals during a make space. |
protected java.util.HashMap |
notFoundCache
Not found cache. |
protected int |
spareNotFoundEntries
Spare amount of not found entries. |
| Constructor Summary | |
ResourceCache()
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boolean |
allocate(int space)
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long |
getAccessCount()
Return the access count. |
int |
getCacheMaxSize()
Return the maximum size of the cache in KB. |
int |
getCacheSize()
Return the current cache size in KB. |
long |
getDesiredEntryAccessRatio()
Return desired entry access ratio. |
long |
getHitsCount()
Return the number of cache hits. |
int |
getMaxAllocateIterations()
Return the maximum amount of iterations during a space allocation. |
int |
getSpareNotFoundEntries()
Return the amount of spare not found entries. |
void |
load(CacheEntry entry)
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CacheEntry |
lookup(java.lang.String name)
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void |
setCacheMaxSize(int cacheMaxSize)
Set the maximum size of the cache in KB. |
void |
setDesiredEntryAccessRatio(long desiredEntryAccessRatio)
Set the desired entry access ratio. |
void |
setMaxAllocateIterations(int maxAllocateIterations)
Set the maximum amount of iterations during a space allocation. |
void |
setSpareNotFoundEntries(int spareNotFoundEntries)
Set the amount of spare not found entries. |
boolean |
unload(java.lang.String name)
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| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
protected CacheEntry[] cache
protected java.util.HashMap notFoundCache
protected int cacheMaxSize
protected int maxAllocateIterations
protected long desiredEntryAccessRatio
protected int spareNotFoundEntries
protected int cacheSize
protected long accessCount
protected long hitsCount
| Constructor Detail |
public ResourceCache()
| Method Detail |
public long getAccessCount()
public int getCacheMaxSize()
public void setCacheMaxSize(int cacheMaxSize)
public int getCacheSize()
public long getDesiredEntryAccessRatio()
public void setDesiredEntryAccessRatio(long desiredEntryAccessRatio)
public long getHitsCount()
public int getMaxAllocateIterations()
public void setMaxAllocateIterations(int maxAllocateIterations)
public int getSpareNotFoundEntries()
public void setSpareNotFoundEntries(int spareNotFoundEntries)
public boolean allocate(int space)
public CacheEntry lookup(java.lang.String name)
public void load(CacheEntry entry)
public boolean unload(java.lang.String name)
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California Center for Native Nations
Inspired by the generosity and vision of Rupert and Jeannette Costo, the California Center for Native Nations (CCNN) at the University of California, Riverside (UCR) was established in 2000. As part of the most diverse UC campus, the CCNN is dedicated to preserving the history, culture, language, and sovereignty of California’s first nations and represents UCR’s ongoing commitment to research and service benefiting California Indians.
Housed within the College of Humanities, Arts and Social Sciences, this innovative world-class research center draws upon the academic strengths of distinguished American Indian Studies faculty in the departments of History, Ethnic Studies, English, Religious Studies, Dance, Music, and Anthropology to address issues involving policy, health care, education, arts and culture, economic development and the environment.
Marigold Linton
’58 B.A. Psychology, 2012 Distinguished Alumnus Award
A Cahuilla and Cupeño Indian and member of the Morongo Band of Mission Indians, Dr. Linton is the first California reservation Indian to have ever left a (California) reservation to go to a university and is reportedly the 17th American Indian to have ever earned a Ph.D. in any discipline. Her accomplishments include being a founder of the Society for Advancement of Chicanos and Native Americans in Science and the National Indian Education Association, and recipient of the 2009 Presidential Award for Excellence in Science, Mathematics & Engineering Mentoring.
Located in the heart of Indian Country, UCR has a lengthy association with Native American studies, students, communities, and tribes. Designed for and with regional tribal leaders, this collaborative partnership provides a platform for issues of critical importance to Native people by offering a comprehensive range of dynamic programs, educational conferences, scholarly research, publications and Web-based media resources. The university offers research fields in Native American Studies where students may earn the B.A. through Ph. D. in American Indian Studies focused in History, Literature, Dance, Music, Ethnic Studies, and Anthropology. In addition, the Costo Library of the American Indian at UCR houses exceptional collections unique in their content dedicated to understanding the history and role of self-determination policy in Indian Country.


A simple CSS framework that can be used to create buttons using HTML easily. You can create a button by using HTML class .st and change color using .st-colorname.Use the following code in your <head>


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Scanning electron micrographs revealing the microstructure morphology of the MGMCs. ( a) Au 60Cu 23.5Ag 9.1Pd 1Si 6.4, ( b) Au 58Cu 24Ag 7.5Pd 1.5Si 9, and ( c) Au 55.5Cu 24.4Ag 6.2Pd 2Si 11.9. The dark-colored regions represent the metallic glass matrix phase while the light-colored represent the primary-Au particulate phase.