In the Fall of 2016, I have traveled various states located in the east coast of the United State such as Ohio, Massachusetts, New Hampshire and others to participate in hackathon hosted by other colleges. Along with my friends, we have created several cool projects mainly focused on utilizing Amazon Web Service to deploy our ideas to the Amazon Alexa service that could make an impact to people’s life.
AlexaMD is an Amazon Alexa command that provides instant medical diagnosis at home created at HackDartmouthIII hosted by Dartmouth College. This idea was inspiried by the rising cost of medical bill that many American are currently face, those with a lower insurance coverage can see a medical bill range from 80 - 200 USD from single doctor visit. This project is meant to provide medical diagonsis for more common and minicule conditions and also somemore serious conditions that is not only accurate but also affordable, however, it is not meant to replace the physician but just a affordable alternative.
Alexa++ is an Amazon Alexa command adds two different functions to your Amazon Echo/Dot created at KentHackEnough hosted by Kent Univesity. This project revolves around 2 of our daily focuses, food and socializing. Alexa++ is divided into 2 function, Chef Alexa++ which provides the user a step by step instruction to the dish you want to make and recommended dishes that is similar to it. The other function, called Feels, will allow the user to see how others people feel aboutcurrent trending and releveant news that you care about analysised based on how other react with emojis on twitter.
Through the various courses that I have taken at Pennsylvania State University, I have complete numerous assignments and projects that I find interesting and challenging.
This is a condense HTML reference guide created based on the HTML&CSS dsign and build websites written by Jon Duckett. The guide contains most html5 topics that is essential to web development and meant to be used as a source of reference.
The guide is written based off the HTML & CSS design and build websites written by Jon Duckett. More information regarding this book can be found here
A clear and simple manual to disassemble and clean a gaming laptop, ASUS ROG gl551jw, which includes step by step instructions to disassemble your own laptop and troubleshoot informations. This manual was written based on my experience and understanding of the computer disassembly and construction.
click here to download the manual
This is a guide for prospective and current freshmen Computer Science College Students that contains resources regarding coding and programming to support one's growth in the major and in the future. The guide contains numerous references and resouces that many people who are new to this field might find extremely useful and supportive, this guide is intended as a supporting resource instead of a replacement to the academic learning and activies"
click here to download the guide


The request flow through the routing pipeline
Routing is a powerful feature that is built into the default ASP.NET Core MVC middleware such that most apps will be able to leverage it without having to customize its behavior. This is by design; customizing routing behavior is an advanced development approach. Most apps shouldn’t need custom routes. The default route will work in most cases.
The routing middleware uses routes to map requests to an IRouter instance. The IRouter instance chooses whether or not to handle the request, and how
public interface IRouter
{
Task RouteAsync(RouteContext context);
VirtualPathData GetVirtualPath(VirtualPathContext context);
}
When you call app.UseMvc(r => { }) and configure your routes, you're actually using a new IRouteBuilder abstraction which is used to build a router instance:
public interface IRouteBuilder
{
IRouter DefaultHandler { get; set; }
IServiceProvider ServiceProvider { get; }
IList<IRouter> Routes { get; }
IRouter Build();
}
Attribute Routing is a feature of MVC and not directly tied to the Routing framework. Because MVC UseMvc(r => { }) call injects a single instance of AttributeRoute at the start of the route collection after all other routes have been configured.


---
layout: default-blue
title: hood.ie Report a Bug
---
Bug
D’oh, sorry to hear you stumbled upon a bug! We want to try our best to help you, thus, we’d ask you to follow these steps:
Report a bug
Please check our FAQ. We have provided a list of known bugs, please check if yours is in there.
If it’s not in this list, please use this form to file the bug. Your detailed error message and description help us solve the bug and helps us make this content available for other Hoodie users as well. Please disclose security vulnerabilities responsibly and contact us directly.
If you have general questions or need help, look at this page for finding answers.


Welcome to FerUI demo application. Here you will find a list of all FerUI components.
Click on one of the components in the side navigation to explore more!


Some quick example text to build on the card title.
The Total Price In Your Cart Is {{totalPrice | currency}}


{% extends "horizon/common/_modal_form.html" %} {% load i18n %} {% block form_attrs %}enctype="multipart/form-data"{% endblock %} {% block modal-body-right %}
{% trans "Create a failover segment of hypervisor hosts." %}
{% trans "Recovery methods:" %}
{% trans "auto: Nova selects the new compute host for evacuation of instances running on a failed compute host" %}
{% trans "reserved_host : One of the reserved host configured in the segment will be used for evacuation of instances running on a failed compute host" %}
{% trans "auto_priority: First it will try 'auto' recovery method, if it's fails, then it will try using 'reserved_host' recovery method." %}
{% trans "rh_priority: It is exactly opposite of 'auto_priority' recovery method." %}
{% trans "Please note: " %} {% trans "Service Type is presently not used by Masakari but it's a mandatory field so the default value is set to 'compute' and it cannot be changed." %}
{% endblock %}


5th victim dies following shooting at Halloween party reportedly held at Airbnb
A fifth victim has died following a shooting at a Halloween party near Berkeley, California -- and reports say the large house party was being held at an Airbnb rental.
Interested in Halloween?
Add Halloween as an interest to stay up to date on the latest Halloween news, video, and analysis from ABC News. Halloween Add Interest
Four victims were initially pronounced dead following the shooting on Thursday night, and at least four more were hospitalized. The Contra Costa Sheriff’s Office announced Friday night that one of those being hospitalized, identified as 19-year-old Oshiana Tompkins, had died from her injuries.
The home where the party took place, in the affluent town of Orinda, just east of Berkeley, had been rented through Airbnb, according to San Francisco ABC station KGO.
One partygoer told the San Francisco Chronicle that most of the party's attendees were college students. An Instagram post earlier in the week advertised an “Airbnb Mansion Party,” KGO reported.
The owner of the home told the Chronicle that he had rented out the house to a woman who was planning to have a family reunion for about a dozen people.
He told the paper that as the party got underway he began getting calls from neighbors about the level of noise, and that he called police after checking his home security camera and seeing well over a dozen people in the house.
The shootings occurred while the police were still on their way, according to reports.
"When the officers arrived, the encountered at least 100 people running from the home," Orinda Police Chief David Cook told KGO.
Video from the scene showed partygoers running -- and others limping -- away from the residence, as first responders lifted patients into ambulances.
Police on Friday identified the others who had been killed as 22-year-old Tiyon Farley, 24-year-old Omar Taylor, 23-year-old Ramon Hill Jr. and 29-year-old Javin County.
"We are still investigating the scene," Cook told ABC News in an email Friday morning.


Progress made on Mayo Greenway bridge link to historic village
A bridge between the Greenway in Turlough and the historic village is to be provided next year, it has been confirmed.
The project is to be progressed to the planning and consultation stages next month with a view to work starting in 2020.
The original plan for the bridge was shot down following some local objections.
But a new location has been found for the bridge that addresses the reservations initially raised by a number of residents.
Councillor Michael Kilcoyne, cathaoirleach, said he was disappointed the proposal had fallen behind somewhat,
But he welcomed the news that the Part 8 procedure is imminent.
Councillor Blackie Gavin said it is a step forward and the Part 8 will be supported by the elected members.
Councillor Cyrl Burke stated the project has taken a long time but is now closer to becoming a reality.


Music School Registration
Choice of Instrument
Guitar
Violin
Drums
Saxophone
piano
Pick Your Days
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
© 2018 Music School Registration. All Rights Reserved | Design by
w3layouts


Up to here, all point to point communications have involved only buffers containing a sequence of identical basic datatypes. This is too constraining on two accounts. One often wants to pass messages that contain values with different datatypes (e.g., an integer count, followed by a sequence of real numbers); and one often wants to send noncontiguous data (e.g., a sub-block of a matrix). One solution is to pack noncontiguous data into a contiguous buffer at the sender site and unpack it at the receiver site. This has the disadvantage of requiring additional memory-to-memory copy operations at both sites, even when the communication subsystem has scatter-gather capabilities. Instead, MPI provides mechanisms to specify more general, mixed, and noncontiguous communication buffers. It is up to the implementation to decide whether data should be first packed in a contiguous buffer before being transmitted, or whether it can be collected directly from where it resides.
The general mechanisms provided here allow one to transfer directly, without copying, objects of various shapes and sizes. It is not assumed that the MPI library is cognizant of the objects declared in the host language. Thus, if one wants to transfer a structure, or an array section, it will be necessary to provide in MPI a definition of a communication buffer that mimics the definition of the structure or array section in question. These facilities can be used by library designers to define communication functions that can transfer objects defined in the host language --- by decoding their definitions as available in a symbol table or a dope vector. Such higher-level communication functions are not part of MPI.
More general communication buffers are specified by replacing the basic datatypes that have been used so far with derived datatypes that are constructed from basic datatypes using the constructors described in this section. These methods of constructing derived datatypes can be applied recursively.
A general datatype is an opaque object that specifies two things:
Let
Typemap = { (type0,disp0), ... , (typen-1, dispn-1) } ,
be such a type map, where typei are basic types, and dispi are displacements. Let
Typesig = { type0 , ... , typen-1 }
be the associated type signature. This type map, together with a base address buf, specifies a communication buffer: the communication buffer that consists of n entries, where the i-th entry is at address and has type typei. A message assembled from such a communication buffer will consist of n values, of the types defined by Typesig.
Most datatype constructors have replication count or block length arguments. Allowed values are non-negative integers. If the value is zero, no elements are generated in the type map and there is no effect on datatype bounds or extent.
We can use a handle to a general datatype as an argument in a send or receive operation, instead of a basic datatype argument. The operation MPI_SEND(buf, 1, datatype,...) will use the send buffer defined by the base address buf and the general datatype associated with datatype; it will generate a message with the type signature determined by the datatype argument. MPI_RECV(buf, 1, datatype,...) will use the receive buffer defined by the base address buf and the general datatype associated with datatype.
General datatypes can be used in all send and receive operations. We discuss, in Section Use of General Datatypes in Communication , the case where the second argument count has value > 1.
The basic datatypes presented in Section Message Data are particular cases of a general datatype, and are predefined. Thus, MPI_INT is a predefined handle to a datatype with type map , with one entry of type int and displacement zero. The other basic datatypes are similar.
The extent of a datatype is defined to be the span from the first byte to the last byte occupied by entries in this datatype, rounded up to satisfy alignment requirements. That is, if
Typemap = { (type0,disp0), ... , (typen-1, dispn-1) } ,
then
If typej requires alignment to a byte address that is a multiple of kj, then is the least non-negative increment needed to round extent(Typemap) to the next multiple of . In Fortran, it is implementation dependent whether the MPI implementation computes the alignments kj according to the alignments used by the compiler in common blocks, SEQUENCE derived types, BIND(C) derived types, or derived types that are neither SEQUENCE nor BIND(C). The complete definition of extent is given by Equation 1 Section Derived Datatypes .
Example
Assume that
(a double at displacement zero, followed by a char at displacement eight). Assume, furthermore, that doubles have to be strictly aligned at addresses that are multiples of eight. Then, the extent of this datatype is 16 (9 rounded to the next multiple of 8). A datatype that consists of a character immediately followed by a double will also have an extent of 16.
Rationale.
The definition of extent is motivated by the assumption that
the amount of padding added at the end of each structure in an array of
structures is the least needed to fulfill alignment constraints.
More explicit control of the extent is provided in
Section Lower-Bound and Upper-Bound Markers
. Such explicit control is needed
in cases where the assumption does not hold, for example, where union types
are used.
In Fortran, structures can be expressed with several language features, e.g.,
common blocks, SEQUENCE derived types, or BIND(C) derived types. The compiler may
use different alignments, and therefore, it is recommended to use MPI_TYPE_CREATE_RESIZED
for arrays of structures if an alignment may cause an alignment-gap at the end of
a structure as described
in Section Lower-Bound and Upper-Bound Markers
and
in Section Fortran Derived Types
.
( End of rationale.)


{% extends 'base.html' %} {% block body %}
Scramble API
This action will delete all the data held against your account including your user ID, email address, login data, and password history. This action cannot be undone so if you want to use the service again you will need to re-register, your previous email will be valid if you wish to sign back up. In accordance with GDPR regulations you are free to remove your data from our system at any time.


Diffusion Network Datasets
The three classic network diffusion datasets included in netdiffuseR are the medical innovation data originally collected by Coleman, Katz & Menzel (1966); the Brazilian Farmers collected as part of the three country study implemented by Everett Rogers (Rogers, Ascroft, & Röling, 1970), and Korean Family Planning data collected by researchers at the Seoul National University's School of Public (Rogers & Kincaid, 1981). The table below summarizes the three datasets:
| Medical Innovation | |||
| Brazilian Farmers | |||
| Korean Family Planning | |||
| Country | USA | Brazil | |
| Korean | # Respondents | ||
| 125 Doctors | 692 Farmers | 1,047 Women | |
| # Communities | 4 | 11 | |
| 25 | Innovation | ||
| Tetracycline | Hybrid Corn Seed | Family Planning | |
| Time for Diffusion | 18 Months | 20 Years | |
| 11 Years | Year Data Collected | ||
| 1955-1956 | 1966 | 1973 | |
| Ave. Time to 50% | 6 | 16 | |
| 7 | Highest Saturation | ||
| 0.89 | 0.98 | 0.83 | |
| Lowest Saturation | 0.81 | 0.29 | |
| 0.44 | Citation | ||
| Coleman et al (1966) | Rogers et al (1970) | Rogers & Kincaid (1981) |
All datasets include a column called study which is coded as (1) Medical Innovation (2) Brazilian Farmers, (3) Korean Family Planning.
By convention, non-adopting actors are coded as one plus the last observed time of adoption. Prior empirical event history approaches have used this approach (Valente, 2005; Marsden and Podolny, 1990) and studies have shown that omitting such observations leads to biased results (van den Bulte & Iyengar, 2011).
Burt, R. S. (1987). "Social Contagion and Innovation: Cohesion versus Structural Equivalence". American Journal of Sociology, 92(6), 1287–1335. http://doi.org/10.1086/228667
Coleman, J., Katz, E., & Menzel, H. (1966). Medical innovation: A diffusion study (2nd ed.). New York: Bobbs-Merrill
Granovetter, M., & Soong, R. (1983). Threshold models of diffusion and collective behavior. The Journal of Mathematical Sociology, 9(October 2013), 165–179. http://doi.org/10.1080/0022250X.1983.9989941
Rogers, E. M., Ascroft, J. R., & Röling, N. (1970). Diffusion of Innovation in Brazil, Nigeria, and India. Unpublished Report. Michigan State University, East Lansing.
Everett M. Rogers, & Kincaid, D. L. (1981). Communication Networks: Toward a New Paradigm for Research. (C. Macmillan, Ed.). New York; London: Free Press.
Mardsen, P., & Podolny, J. (1990). Dynamic Analysis of Network Diffusion Processes, J. Weesie, H. Flap, eds. Social Networks Through Time, 197–214.
Marsden, P. V., & Friedkin, N. E. (1993). Network Studies of Social Influence. Sociological Methods & Research, 22(1), 127–151. http://doi.org/10.1177/0049124193022001006
Van den Bulte, C., & Iyengar, R. (2011). Tricked by Truncation: Spurious Duration Dependence and Social Contagion in Hazard Models. Marketing Science, 30(2), 233–248. http://doi.org/10.1287/mksc.1100.0615
Valente, T. W. (1991). Thresholds and the critical mass: Mathematical models of the diffusion of innovations. University of Southern California.
Valente, T. W. (1995). "Network models of the diffusion of innovations" (2nd ed.). Cresskill N.J.: Hampton Press.
Valente, T. W. (2005). Network Models and Methods for Studying the Diffusion of Innovations. In Models and Methods in Social Network Analysis, Volume 28 of Structural Analysis in the Social Sciences (pp. 98–116). New York: Cambridge University Press.
Other diffusion datasets: brfarmersDiffNet
,
brfarmers
, fakeDynEdgelist
,
fakeEdgelist
, fakesurveyDyn
,
fakesurvey
, kfamilyDiffNet
,
kfamily
,
medInnovationsDiffNet
,
medInnovations


Privacy Preferences
Home
/
Personalisation Settings
/
User Preference Settings
/
Edit User Preference
Edit User Preference
User Preference Details
Please add an outcome under this node:
#{PreferenceCreateBean.erroneousNode}
Error: Condition cannot be leaf of the tree.


Experience Orlando
I was selected for the AIGA Orlando mentorship 2017. The goal of the five month program was to design and develop a project to present at the Annual AIGA spot showcase, an event visited by local design professionals and students.
Mentor: Ricardo De Azua, the Art Director of Full Sail University
Scroll down
My goal for the mentorship was to come up with an idea out of my comfort zone and try a new design style. My goal for the project was to have something that would attract visitors to my booth and keep them engaged.
The spot showcase targets design professionals and students between the ages of 20 - 40.
After a lot of discussion with my mentor, I came up with the idea of designing a fun and interactive website. I wanted to include a few games in the website that everyone would enjoy playing. Since the event was in Orlando, I wanted to incorporate an Orlando theme to connect with the local crowd. To give it a more personal touch, I planned to depict the city based on my experiences in Orlando. I planned to illustrate the city the way I saw it.
I linked this game to Disney landmark in the city. I used the castle as a background in the game to hide the cards. All the cards contain items related to princesses. This game is all about memory. Pairs of cards are hidden behind the castle windows. Users can click on the windows to reveal them. The goal is to find all the pairs to move to the next level.
I linked this game with hot air balloon rides in the city. This game is about tactics. Users can control the hot air balloon with keyboard arrows to collect candy falling from the sky. The goal is to avoid obstructions and collect enough candy to move to the next level.
I linked this to Universal landmark in the city by using a roller coaster like Hulk. This game is about speed. Arrow keys appear on the screen from below. Users have to use arrows on their keyboard to match the pattern that appears on the screen. When the user hits enough right keys, the coaster keeps moving without crashing. The goal is to match enough keys to move to the next level.
For a better user experience, I added animations to the instruction page of each game for the user to understand them better. This also helped avoiding a lot of text which can be boring to the user.
I learnt a lot of development techniques while building this website. It was built using HTML, CSS and JQuery primarily. I put in a lot of time on animations. All the illustrations were converted to SVGs and animated using CSS keyframes. I took some time to learn to code with tweenJS for animating the roller coaster.
For the booth at the showcase, I set up a big screen with the video of the website along with a monitor where people could interact with it. I had a lot of visitors to my booth and people loved the concept and the idea behind it. People were having fun interacting with the website. In particular, they enjoyed a lot playing the games. I was very happy with the success of the project. I also got a lot of useful feedback from the users.
Based on the feedback from the users at the showcase, I listed out the improvements that can be made in the next iteration.


Baghdadi Uses Arms & Ammunition to Spread Terror, Owaisi Through His 'Zabaan', Says Wasim Rizvi
Shia Waqf Board chief Wasim Rizvi on Saturday urged for the imposition of ban on Asaduddin Owaisi and the Muslim Personal Law Board, stated news agency ANI.
New Delhi: Drawing a comparison between All India Majlis-e-Ittehadul Muslimeen (AIMIM) leader Asaduddin Owaisi and ISIS leader Abu Bakr-al Baghdadi, Shia Waqf Board chief Wasim Rizvi has asserted that there was no difference between the two of them.
On Saturday, Rizwi told news agency ANI, “There is no difference between Abu Bakr-al Baghdadi and Asaduddin Owaisi today. Baghdadi had an army and arms and ammunition which he used to spread terror, Owaisi through his ‘zabaan’ (speeches) is creating terror through it.” Claiming that Owaisi was pushing Muslims to commit acts of terror and bloodshed, Rizwi urged for a ban on the AIMIM chief and the Muslim Personal Law Board.
For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on India Latest News on India.com.
Story Timeline
- 14 Nov 2019 Shia Central Waqf Board Chairman Wasim Rizvi Announces Rs 51,000 Donation For Ram Temple in Ayodhya
- 11 Nov 2019 Complaint Filed Against Asaduddin Owaisi For Making Derogatory Statement on Ayodhya Verdict
- 05 Nov 2019 Turkey Captures Elder Sister of ISIS Chief Abu Bakr al-Baghdadi, Days After His Killing in US Raid
Comments - Join the Discussion


Translates the given text from one language to another. ## Syntax
translateText(text: <#String (Allows Variables)#>, from: <#Type (WFSelectedFromLanguage)#>, to: <#Type (WFSelectedLanguage)#>)
translateText(text: "Hello World", from: English, to: Japanese)


get to know the Team that works on your Create experience
We are a Team of 9 members with all equipped with their own specialties
CSH started
CreateTechnical together with LittleCircles who left us.
Now we are working daily to give you
the best experience of Create


stateGame Class
Item Index
Methods
Methods
initialize
()
This method must be called prior to the run method. It is responsible for:
- Setting up the message listening queue's for agents, objects, borders, cells and triggers.
Returns:
render
()
This method draws the board to the canvas with respect to a players (team) view.
Returns:
run
()
This method calls the update and render methods.
Returns:
Literal
update
()
This method adjudicates user mouse and keyboard input and updates message queues accordingly.
Returns:
Literal


| None. |
|
Used in an IF statement to denote the end of the conditional to be checked. Famous for its participation in the IF ... THEN structure. See example and IF statement for more information.
See also: If, Else, ElseIf, EndIf, Select. |
|
; IF THEN Example
; Input the user's name name$=Input$("What is your name? ") ; Doesn't the person's name equal SHANE? If name$ = "Shane" Then Print "You are recognized, Shane! Welcome!" Else Print "Sorry, you don't belong here!" ; End of the condition checking End If |


| gdata.Crypto.Hash.HMAC | index /usr/local/google/home/afshar/src/external-gdata-release/google3/src/gdata/Crypto/Hash/HMAC.py |
HMAC (Keyed-Hashing for Message Authentication) Python module.
Implements the HMAC algorithm as described by RFC 2104.
This is just a copy of the Python 2.2 HMAC module, modified to work when
used on versions of Python before 2.2.
| Modules | ||||||
|
| Classes | ||||||||||
|
|
| Functions | ||
|
| Data | ||
| __revision__ = '$Id: HMAC.py,v 1.5 2002/07/25 17:19:02 z3p Exp $' digest_size = None |


piadcs package¶
Subpackages¶
Submodules¶
piadcs.piadcs module¶
-
class
piadcs.piadcs.
Register
(address, setvalue)[source]¶ Bases:
object
A class used to represent a register on a TI ADC ... .. attribute:: address
byte
The address of the register
-
setvalue
¶ byte
The value that you want to write to the register. This should be set either by using the default value or the setregister function
-
setregister
(data)[source]¶ Takes a list of bytes representing different register settings and combines them into a single byte to send to the register
-
setregister
(settingsList)[source] Takes a list of bytes representing different register settings and combines them into a single byte to send to the register. Since this function uses the OR operator it is critical to include ALL settings for the given register even if some are left to the default. If a setting is not included it will be set to to 0.
Parameters: data (list) – A list of bytes where each byte represents one setting of a given register. The list should not be longer or shorter than the number of settings that exist for the register you want to send them to.
-
-
piadcs.piadcs.
readFromConsecutiveRegisters
(connection, startingreg, numbertoread)[source]¶ writes a list of values to consecutive registers on an ADC.
Parameters: - connection (SpiDev object) – See documentation for python Spidev (https://pypi.org/project/spidev/)
- startingreg (byte) – The address of the first register you want to read from
- numbertoread (byte) – The number of registers you would like to read from
Returns: Returns list of register values from consecutive registers starting with the specified register
Return type: list
-
piadcs.piadcs.
writeToConsecutiveRegisters
(connection, startingreg, data)[source]¶ writes a list of values to consecutive registers on an ADC.
Parameters: - connection (SpiDev object) – See documentation for python Spidev (https://pypi.org/project/spidev/)
- startingreg (byte) – The address of the first register you want to write to
- data (list) – The values you would like to write to the register see section 9.6 of the ADS126x datasheet for an explanations of what values have what functions at a given register
-
piadcs.piadcs.
writeToSingleRegister
(connection, reg_address, data)[source]¶ writes a value to a register on the ADS1262.
Parameters: - connection (SpiDev object) – See documentation for python Spidev (https://pypi.org/project/spidev/)
- reg_address (byte) – The address of the register you would like to write to
- data (byte) – The value you would like to write to the register see section 9.6 of the ADS1262 datasheet for an explanations of what values have what functions at a given register


The SpryCollapsiblePanel.css file provides the default styling for the Collapsible Panel widget. You can, however, easily customize the widget by changing the appropriate CSS rule. The CSS rules in the SpryCollapsiblePanel.css file use the same class names as the related elements in the collapsible panel’s HTML code, so it’s easy for you to know which CSS rules correspond to the different sections of the Collapsible Panel widget. Additionally, the SpryCollapsiblePanel.css file contains class names for widget behaviors (for example, hovering and clicking behaviors).
The SpryCollapsiblePanel.css file should already be included in your website before you start customizing. For more information, see Prepare your files.
**This sentence is a sample change for LiveDocs.**
Set properties for the entire Collapsible Panel widget container, or set properties for the components of the widget individually.
You can replace style-related class names in the SpryCollapsiblePanel.css file and HTML code with class names of your own. Doing so does not affect the functionality of the widget.
The SpryCollapsiblePanel.css file contains extensive comments, explaining the code and the purpose for certain rules. For further information, see the comments in the file.
Set properties for the entire Collapsible Panel widget container, or set properties for the components of the widget individually.
|
Style to change |
Relevant CSS rule |
Example of properties and values to add or change |
|---|---|---|
|
Text in the entire collapsible panel |
.CollapsiblePanel |
font: Arial; font-size:medium; |
|
Text in panel tab only |
.CollapsiblePanelTab |
font: bold 0.7em sans-serif; (This is the default value.) |
|
Text in content panel only |
.CollapsiblePanelContent |
font: Arial; font-size:medium; |
|
Color to change |
Relevant CSS rule |
Example of property and value to add or change |
|---|---|---|
|
Background color of panel tab |
.CollapsiblePanelTab |
background-color: #DDD; (This is the default value.) |
|
Background color of content panel |
.CollapsiblePanelContent |
background-color: #DDD; |
|
Background color of tab when panel is open |
.CollapsiblePanelOpen .CollapsiblePanelTab |
background-color: #EEE; (This is the default value.) |
|
Background color of open panel tab when the mouse pointer moves over it |
.CollapsiblePanelTabHover, .CollapsiblePanelOpen .CollapsiblePanelTabHover |
background-color: #CCC; (This is the default value.) |
By default, the Collapsible Panel widget expands to fill available space. To constrain the width of a Collapsible Panel widget, set a width property for the collapsible panel container.
To set the height of a collapsible panel, add a height property to the CollapsiblePanelContent rule or the CollapsiblePanel rule.
The collapsible panel widget includes a few predefined behaviors. These behaviors consist of changing CSS classes when a particular event occurs. For example, when a mouse pointer hovers over a collapsible panel tab, Spry applies the CollapsiblePanelTabHover class to the widget. (This behavior is similar to a:hover for links.) The behaviors are blank by default; to change them, add properties and values to the rules.
<script type="text/javascript"> var CP2 = new Spry.Widget.CollapsiblePanel("CollapsiblePanel2", { hoverClass: "hover", openClass: "open", closedClass: "closed", focusedClass: "focused" }); </script>
By default, a collapsible panel uses animation to smoothly open and close.
<script type="text/javascript"> var CP5 = new Spry.Widget.CollapsiblePanel("CollapsiblePanel5", { enableAnimation: false }); </script>
You can change the time it takes for a panel to open. Set the time in milliseconds (1000 = 1 second). By default, Spry uses 500 milliseconds.
<script type="text/javascript"> var CP9 = new Spry.Widget.CollapsiblePanel("CollapsiblePanel9", { duration: 100 }); </script>


|
SPHinXsys
alpha version
|
Base class for all structured meshes which may be grid or cell based. The basic properties of the mesh, such as lower bound, grid spacing and number of grid points may be determined by the derived class. Note that there is no mesh-based data defined here. More...
#include <base_mesh.h>
Inherited by SPH::GridDataPackage< 4, 6 >, SPH::GridDataPackage< PKG_SIZE, ADDRS_SIZE >, and SPH::Mesh.
Public Member Functions | |
| BaseMesh (Vecu number_of_grid_points) | |
| BaseMesh (Vecd mesh_lower_bound, Real grid_spacing, Vecu number_of_grid_points) | |
| BaseMesh (BoundingBox tentative_bounds, Real grid_spacing, size_t buffer_width) | |
| Vecd | MeshLowerBound () |
| Real | GridSpacing () |
| Vecu | NumberOfGridPoints () |
| Vecu | NumberOfGridPointsFromNumberOfCells (const Vecu &number_of_cells) |
| Vecu | NumberOfCellsFromNumberOfGridPoints (const Vecu &number_of_grid_points) |
| Vecd | GridPositionFromCellPosition (const Vecd &cell_position) |
| Vecu | CellIndexFromPosition (const Vecd &position) |
| Vecd | CellPositionFromIndex (const Vecu &cell_index) |
| Vecd | GridPositionFromIndex (const Vecu &grid_index) |
| Vecu | transfer1DtoMeshIndex (const Vecu &number_of_mesh_indexes, size_t i) |
| size_t | transferMeshIndexTo1D (const Vecu &number_of_mesh_indexes, const Vecu &mesh_index) |
| size_t | MortonCode (const size_t &i) |
| size_t | transferMeshIndexToMortonOrder (const Vecu &mesh_index) |
Protected Attributes | |
| Vecd | mesh_lower_bound_ |
| Real | grid_spacing_ |
| Vecu | number_of_grid_points_ |
Base class for all structured meshes which may be grid or cell based. The basic properties of the mesh, such as lower bound, grid spacing and number of grid points may be determined by the derived class. Note that there is no mesh-based data defined here.
| Vecd SPH::BaseMesh::GridPositionFromIndex | ( | const Vecu & | grid_index | ) |
Note that, the lower corner grid of a cell has the same index as the cell.
converts mesh index into a Morton order. Interleave a 10 bit number in 32 bits, fill one bit and leave the other 2 as zeros https://stackoverflow.com/questions/18529057/ produce-interleaving-bit-patterns-morton-keys-for-32-bit-64-bit-and-128bit
This function converts mesh index into a Morton order.
|
protected |
grid_spacing
|
protected |
mesh lower bound as reference coordinate
|
protected |
number of grid points by dimension


Immigration law is a complex vortex that constantly changes and impacts individuals, their families and businesses alike. At Kodem Law Firm, we understand how critical immigration is to a person’s dream or to a business’s success. With offices conveniently located in Dallas-Fort Worth Metroplex, our client-first approach has been appreciated widely in the community. We believe in providing prompt responses that is easy to understand and act upon. We take great pride in our effective low cost solutions.
Get Started!Permanent labor certifications.
Speciality Occupation
Seasonal Worker Visa
Intercompany Tranferees
Foreign and Exchange Student
Green Card Based Visas
Sharadha Kodem is uniquely placed to help fellow immigrants. After completing her Bachelors in Computer Science from India, she arrived to United States on F1 to do her Masters in Computer Science and worked her way through the H1, EAD and eventually permanent residency. She has the personal experience with the heartache of missing the H1-B lottery and had the ordeal of dealing with deportation notice that was erroneously issued by USCIS while she was in law school. These experiences strengthened her resolve to help immigrants and upon graduation from Texas Wesleyan School of Law, she embarked on this mission.
She currently stays in Coppell with her husband and her two children. She enjoys learning new languages and is proficient in English, Hindi and Tamil and can converse in Telugu, Bengali and Gujarati reasonably well.
American Immigration Law Associations
Texas Bar College
Dallas Bar Association
Tarrant County Bar Association
Phone
(888)-955-6634 Ext 101
Fax
(817)-778-9980
600 E John Carpenter,
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Come over to our location!


This nimib example document shows how to:
- add a table of contents
- create a custom NbBlock (a text block that shows Markdown source)
- customize of code highlighting
The document itself is a remake in nimib of a Markdown Cheatsheet by markdown-here.
Quoted sections will be used to mention differences with the original source.
Markdown Cheatsheet
Quick reference for markdown.
Table of Contents:
- Headers
- Emphasis
- Lists
- Links
- Images
- Code and Syntax Highlighting
- Tables
- Blockquotes
- Inline HTML
- Horizontal Rule
- Line Breaks
- YouTube Videos
Headers
# H1
## H2
### H3
#### H4
##### H5
###### H6
Alternatively, for H1 and H2, an underline-ish style:
Alt-H1
======
Alt-H2
------
H1
H2
H3
H4
H5
H6
Alternatively, for H1 and H2, an underline-ish style:
Alt-H1
Alt-H2
Emphasis
Emphasis, aka italics, with *asterisks* or _underscores_.
Strong emphasis, aka bold, with **asterisks** or __underscores__.
Combined emphasis with **asterisks and _underscores_**.
Strikethrough uses two tildes. ~~Scratch this.~~
Emphasis, aka italics, with asterisks or underscores.
Strong emphasis, aka bold, with asterisks or underscores.
Combined emphasis with asterisks and underscores.
Strikethrough uses two tildes. Scratch this.
Lists
(In this example, leading and trailing spaces are shown with with dots: ⋅)
1. First ordered list item
2. Another item
⋅⋅⋅⋅* Unordered sub-list.
1. Actual numbers don't matter, just that it's a number
⋅⋅⋅⋅1. Ordered sub-list
4. And another item.
⋅⋅⋅You can have properly indented paragraphs within list items. Notice the blank line above, and the leading spaces (at least one, but we'll use three here to also align the raw Markdown).
⋅⋅⋅To have a line break without a paragraph, you will need to use two trailing spaces.⋅⋅
⋅⋅⋅Note that this line is separate, but within the same paragraph.⋅⋅
⋅⋅⋅(This is contrary to the typical GFM line break behaviour, where trailing spaces are not required.)
* Unordered list can use asterisks
- Or minuses
+ Or pluses
-
First ordered list item
-
Another item
- Unordered sub-list.
-
Actual numbers don't matter, just that it's a number
- Ordered sub-list
-
And another item.
You can have properly indented paragraphs within list items. Notice the blank line above, and the leading spaces (at least one, but we'll use three here to also align the raw Markdown).
To have a line break without a paragraph, you will need to use two trailing spaces.
Note that this line is separate, but within the same paragraph.
(This is contrary to the typical GFM line break behaviour, where trailing spaces are not required.)
- Unordered list can use asterisks
- Or minuses
- Or pluses
in ordered to have the ordered sublist work correctly (it is not working on linked original) I increased indent from 2 to 4, see also GFM spec
Links
There are two ways to create links, inline and reference.
[I'm an inline-style link](https://www.google.com)
[I'm an inline-style link with title](https://www.google.com "Google's Homepage")
[I'm a reference-style link][Arbitrary case-insensitive reference text]
[I'm a relative reference to a repository file](../blob/master/LICENSE)
[You can use numbers for reference-style link definitions][1]
Or leave it empty and use the [link text itself].
URLs and URLs in angle brackets will automatically get turned into links.
http://www.example.com or and sometimes
example.com (but not on Github, for example).
Some text to show that the reference links can follow later.
[arbitrary case-insensitive reference text]: https://www.mozilla.org
[1]: http://slashdot.org
[link text itself]: http://www.reddit.com
I'm an inline-style link with title
I'm a relative reference to a repository file
You can use numbers for reference-style link definitions
Or leave it empty and use the link text itself.
URLs and URLs in angle brackets will automatically get turned into links. http://www.example.com or http://www.example.com and sometimes example.com (but not on Github, for example).
Some text to show that the reference links can follow later.
only URL with angle brackets are turned into links here
Images
Here's our logo (hover to see the title text):
Inline-style:
![alt text](https://nim-lang.org/assets/img/logo.svg "Logo Title Text 1")
Reference-style:
![alt text][logo]
[logo]: https://nim-lang.org/assets/img/logo.svg "Logo Title Text 2"
Here's our logo (hover to see the title text):
Inline-style:
Reference-style:
Code and Syntax Highlighting
Code blocks are part of the Markdown spec, but syntax highlighting isn't. However, many renderers -- like Github's and Markdown Here -- support syntax highlighting. Which languages are supported and how those language names should be written will vary from renderer to renderer. Markdown Here supports highlighting for dozens of languages (and not-really-languages, like diffs and HTTP headers); to see the complete list, and how to write the language names, see the highlight.js demo page.
Inline `code` has `back-ticks around` it.
Inline code
has back-ticks around
it.
Blocks of code are either fenced by lines with three back-ticks ```, or are indented with four spaces. I recommend only using the fenced code blocks -- they're easier and only they support syntax highlighting.
```javascript
var s = "JavaScript syntax highlighting";
alert(s);
```
```python
s = "Python syntax highlighting"
print s
```
```
No language indicated, so no syntax highlighting.
But let's throw in a tag.
```
var s = "JavaScript syntax highlighting";
alert(s);
s = "Python syntax highlighting"
print s
No language indicated, so no syntax highlighting.
But let's throw in a tag.
default syntax highlighting in nimib is for nim code only. The highlighting of Markdown, Javascript and Python was obtained through custom load of highlight.js library. note that last blocks of code is automatically detected by highlight.js to be YAML (!)
Tables
Tables aren't part of the core Markdown spec, but they are part of GFM and Markdown Here supports them. They are an easy way of adding tables to your email -- a task that would otherwise require copy-pasting from another application.
Colons can be used to align columns.
| Tables | Are | Cool |
| ------------- |:-------------:| -----:|
| col 3 is | right-aligned | $1600 |
| col 2 is | centered | $12 |
| zebra stripes | are neat | $1 |
There must be at least 3 dashes separating each header cell.
The outer pipes (|) are optional, and you don't need to make the
raw Markdown line up prettily. You can also use inline Markdown.
Markdown | Less | Pretty
--- | --- | ---
*Still* | `renders` | **nicely**
1 | 2 | 3
Colons can be used to align columns.
| Tables | Are | Cool |
|---|---|---|
| col 3 is | right-aligned | $1600 |
| col 2 is | centered | $12 |
| zebra stripes | are neat | $1 |
There must be at least 3 dashes separating each header cell. The outer pipes (|) are optional, and you don't need to make the raw Markdown line up prettily. You can also use inline Markdown.
| Markdown | Less | Pretty |
|---|---|---|
| Still | renders |
nicely |
| 1 | 2 | 3 |
Blockquotes
> Blockquotes are very handy in email to emulate reply text.
> This line is part of the same quote.
Quote break.
> This is a very long line that will still be quoted properly when it wraps. Oh boy let's keep writing to make sure this is long enough to actually wrap for everyone. Oh, you can *put* **Markdown** into a blockquote.
Blockquotes are very handy in email to emulate reply text. This line is part of the same quote.
Quote break.
This is a very long line that will still be quoted properly when it wraps. Oh boy let's keep writing to make sure this is long enough to actually wrap for everyone. Oh, you can put Markdown into a blockquote.
Inline HTML
You can also use raw HTML in your Markdown, and it'll mostly work pretty well.

Definition list

Is something people use sometimes.

Markdown in HTML

Does *not* work **very** well. Use HTML tags.

- Definition list
- Is something people use sometimes.
- Markdown in HTML
- Does *not* work **very** well. Use HTML tags.
Horizontal Rule
Three or more...
---
Hyphens
***
Asterisks
___
Underscores
Three or more...
Hyphens
Asterisks
Underscores
Line Breaks
My basic recommendation for learning how line breaks work
is to experiment and discover -- hit
Here are some things to try out:
Here's a line for us to start with.
This line is separated from the one above by two newlines, so it will be a *separate paragraph*.
This line is also a separate paragraph, but...
This line is only separated by a single newline, so it's a separate line in the *same paragraph*.
Here's a line for us to start with.
This line is separated from the one above by two newlines, so it will be a separate paragraph.
This line is also a separate paragraph, but... This line is only separated by a single newline, so it's a separate line in the same paragraph.
note that last two lines do not have a line break in between as the original
YouTube Videos
They can't be added directly but you can add an image with a link to the video like this:


A Song of Ice and Fire
by Lyndol Cromartie
Does the background imaging work
House Stark
House Lannister
House Targaryen


4 references to WriteVerbose
System.Management.Automation (4)
engine\MshCommandRuntime.cs (1)
566
WriteVerbose
(new VerboseRecord(text));
engine\remoting\commands\ReceiveJob.cs (1)
828
mshCommandRuntime.
WriteVerbose
(v, true);
engine\remoting\common\psstreamobject.cs (2)
164
mshCommandRuntime.
WriteVerbose
(verboseRecord, overrideInquire);
342
mshCommandRuntime.
WriteVerbose
(verboseRecord, overrideInquire);


Imperial College London
Dyson School of Design Engineering
This project is a small data collection, visualisation and actuation challenge. It integrated hardaware (using a RPI 3B + with and RC522 sensor and NTAG213) and a Deep learning model to predict and recommend music depending on the users clothing style or 'mood'. The ml algorithm uses the songs listened by the user in the past month to make a prediction of what it might want to listen when an item of clothing is scanned. Each item has a selected 'mood' which was found through data analysis from the users trends.
Firstly, below you will see data sets for localised weather from Earls Courts London retrieved via the Open weather API, for the music I listen to every hour on Spotify using the Spotify API and finally a collection of clothing items I have worn in the past weeks using a raspberry pi an RC522 sensor and NTAG213 tags.
Site template taken from Ben Greenberg's SIOT


In this lab we will have an opportunity to build more complex population models in InsightMaker. Among the concepts we will play around with are density dependence, chaos and time delays.
First let’s do some math!
Recall the basic population growth equation:
\(\Delta N = (b - d) \cdot N_t \qquad \text{(Eq. 1)}\)
Previously we considered b and d to be constants. Now we want them to be functions of abundance! In particular, as abundance goes up, b goes down:
\(b = b_{max}-a*N_t \qquad \text{(Eq. 2)}\)
For the death rate d we might expect it to go up as abundance goes up:
\(d = d_{min}+c*N_t \qquad \text{(Eq. 3)}\)
The above equations nicely illustrate the meaning of density dependence. That is, the vital rates are dependent on density!
thought Q: what do the a and c constants in the above equations really represent? You will have a chance to think more about this in the first exercise.
Okay, now we can substitute the above equations into Eq. 1:
\(\Delta N = (b_{max}-a*N_t - d_{min}+c*N_t) \cdot N_t \qquad \text{(Eq. 4)}\)
Using some tricks of algebra (see the Gotelli book), we can simplify this to:
\(\Delta N = r \cdot N_t \left [ 1 - \frac{a+c}{b-d} \cdot N_t \right ] \qquad \text{(Eq. 5)}\)
Which, if we define \(\frac{b-d}{a+c}\) as a constant, \(K\), we can re-write like this!
\(\Delta N = r \cdot N_t \cdot \left ( 1 - \frac{N}{K} \right ) \qquad \text{(Eq. 6)}\)
This is probably the second most important equation of population ecology, and it is called the Logistic growth equation. This lab will give us an opportunity to get to know this equation and its implications for population ecology!
Please provide short answers to the following questions:
1a. Describe two possible density-dependence mechanisms – that is, tell a plausible story about two hypothetical wildlife populations, one of which experiences lower survival (higher mortality) as densities increase and another that experiences lower reproduction. Have fun and be creative- we will not grade these on whether these mechanisms actually occur in nature- we just want to give you a chance to think about the many possible mechanisms that could potentially regulate wild populations. You can use real-world examples if you would rather- that is up to you.
1b. For one of the above mechanisms, draw (on paper or electronically) two graphs to illustrate how this hypothetical mechanism might manifest at a population level:
For each graph, provide a short (1-2 sentences) description of why you think your hypothetical D-D mechanism would result in this relationship!
NOTE: you can use a web app like “A web whiteboard” to quickly and easily make and download sketches! I encourage you to use this method, and to embed your sketches in your submitted MS Word document.
Let’s use InsightMaker to create a logistic growth model based on the collapse of the Peruvian anchovy fisheries (pages 45-47 in Gotelli).
As you develop the logistic growth model for the Peruvian anchovy stock in InsightMaker, you might want to refer to the in-class example for the logistic growth lecture.
The Goal: find the level of harvest that maximizes the total quantity harvested while maintaining a sustainable population!
\(b = b_{max} - aN\), aka density-dependent birth rate = ideal (maximum) birth rate - (strength of density dependence * N)
\(d = d_{min} + cN\), aka density-dependent death rate = ideal (minimum) death rate + (strength of density dependence * N)
“Ideal” in this case means the birth and death rates in the absence of the effects of density. So, make new [Variables] (Click on Add Primitive >> Add Variable) for Ideal Birth Rate and Ideal Death Rate.
In addition, we need to add variables for the strength of density dependence (terms a and c in the equations). Make sure the Links button is activated, and click and drag your mouse to create links from the new variables to the appropriate per-capita vital rates. Your final model should look something like this (except for anchovies, not box turtles!):
Next, you’ll need to update the equations to calculate the per-capita birth and death rates. Click on the = sign in the corner of each variable, and enter the appropriate equations for the appropriate rates (see above):
Enter starting values for your variables. Let’s use 10,000 for the initial Anchovy Population, 1 for the Ideal Birth Rate, 0.00005 for Density Dependence for birth rate, 0.4 for Ideal Death Rate, and 0.00001 for Density Dependence for death rate.
Use the Settings button to change the Simulation Length to 24 and the timescale to “Months”. Click Simulate. You may need to click Configure in order to clean up your plot to just show Time on the x-axis and Anchovy Population on the y-axis. Run the model to see if it is working. Since the abundance is initialized at carrying capacity, abundance should not change over time. Change the initial abundance to a small number (e.g., 10) temporarily to make sure that you see an “S-shaped” logistic growth curve.
Next, let’s add an additional source of mortality (right now, we have natural baseline mortality (40% per year) and density-dependent effects). This new source of mortality is commercial fishing! This source of mortality should be a new [Flow Out] from the Anchovy population. For now, let’s assume harvest is constant – that is, a given number are harvested, regardless of the size of the population (no feedback!).
One last thing before we play around with harvest rates: in the properties menu for the anchovy stock, set the property Only Positive Rates to “Yes”. We don’t want to harvest the population into negative numbers!!!
Finally, try to find the maximum sustainable yield. That is, find the maximum harvest rate that yields a sustainable (non-declining) population. To do this, try different rates of harvest- I recommend using increments of 200 at first, then narrowing down to smaller increments. Otherwise you might be here a while!! [Optional: I encourage you to play around with the “Sensitivity Analysis tool”, which you could use to automate this process- that is, have Insightmaker run lots of different values for harvest rate at the same time! We will go over how to use this tool in lab next week or the week after]
2a. What is the (approximate) MSY for this population?
2b. Does the harvest process change the carrying capacity for the Peruvian sardines? Explain your reasoning.
2c. Does the MSY change if you reduce the initial population size down to 1,000 instead of 10,000? If so, what is the new MSY?
2d. Does the MSY point represent a stable equilibrium? That is, does it return to that equilibrium even if you perturb the system? Why? Why not?
2e. If you were managing this Peruvian anchovy system, would you recommend that catch limits be set at the MSY? Why or why not? (More generally, is the MSY really sustainable?)
2f. Think back to your Wildlife Ecology course (or refer to the Gotelli book!). If you know \(K\) and \(r\), how can you analytically solve for Maximum Sustainable Yield? Show your calculation. Does your computed MSY match the MSY you found by trial-and-error? (note that \(r\) in this case is the difference between the maximum birth rate and the minimum death rate!)
For this exercise we will set up a simpler model in InsightMaker- this time, we will replicate the second-most important equation of population ecology (Eq. 6, above.
Starting from a blank canvas, add a [Stock] called Population. This population should be initialized at 10 individuals, and the Allow Negatives field in the properties window should be set to “No”. Set Show Value Slider to “Yes”, and set the Slider Min to 0 and Slider Max to 1000.
Make a new [Flow] coming out of Population, called Delta N. In the properties window, set Only Positive Rates to “No”. You should now see that the flow has an arrow on both ends. That is, this flow can either represent a [Flow In] or a [Flow Out]. It represents the change in Population each time step, which can either be positive or negative!
Make a new [Variable] called Max growth rate (also known as \(r_{max}\)), and set it at 0.1. Make a link from Max growth rate to Delta N. Set Show Value Slider to “Yes”, and set the Slider Min to 0 and Slider Max to 5.
Make a new [Variable] called Carrying capacity (also known as \(K\)), and set it at 500. Make a link from Carrying Capacity to Delta N.
Finally, open the equation editor for Delta N and type in the logistic growth equation (Eq. 6).
Run the simulation for 100 years (1 year time step) and make sure it behaves as expected- that is, it should exhibit logistic (S-shaped) growth and should level off at carrying capacity.
3a. What happens if you initialize the Population at above carrying capacity? Do you still see “S-shaped” (logistic) growth? What if you initialize abundance at carrying capacity? Is carrying capacity a stable equilibrium? Explain your reasoning.
3b. Return the initial abundance to 10. Now start adjusting the value of Max Growth Rate. What do you notice as the maximum growth rate increases? Focus on the time series of population abundance over time. Can you identify different major changes as the growth rate increases from 1 to 5. You should be able to identify at least four unique patterns! Describe the patterns and the approximate thresholds at which change-overs occur from one pattern to the next. One of these patterns is known as Chaos (yes, that is the technical name)!! Can you figure out which pattern is known as chaos??
3c. Try changing the Simulation Time Step in the Settings menu. Note that you can set the simulation time step to fractional values- for example, try setting it to 0.1. What if you change it to 2, or 5? Does this change the patterns and thresholds from the previous question? Can you figure out why these patterns emerge?
3d. Think of at least two hypothetical or real-world cases where chaos could emerge as a result of density-dependence. Explain your reasoning!
What happens when the effects of resource competition are delayed? In this case, the effects of competition (reduction in fitness) will not manifest immediately- but emerge later down the road!
Let’s build on the previous model…
First, add a new [Variable] to the system, called Delayed Abundance, which will store a previous abundance value. Draw a new link from Population to Delayed abundance and from Delayed abundance to Delta N.
Add a new [Variable] to the system, called Time Delay. Set Show Value Slider to “Yes”, and set the Slider Min to 0 and Slider Max to 5, and Slider Step to 1. Make a new link from Time Delay to Delayed Abundance
Open the equation window for Delayed abundance. This variable will store a previous value of Abundance, with the time delay set by Time Delay. To do this, use the following syntax:
Delay([Population], [Time delay], 100)
The “100” in this function is there just to help the simulation get started (at the first time step(s), there are no previous values of Abundance, so InsightMaker will use this value instead).
[Max growth rate]*[Population]*(1-[Delayed abundance]/[Carrying Capacity])
4a. Run the model with different values for the time delay. How does the system behave with a time delay? Do you see any similarities with exercise 3?
4b. Parasitoid wasps help to keep many lepidopteran populations in check. The wasps lay their eggs in caterpillars, and the caterpillars end up dying a horrific death as the wasp larva grows. Wasp-regulation on caterpillars often exhibits delayed density-dependence, resulting in oscillations in caterpillar populations. Can you think of why this might be the case?
To share your InsightMaker models: The first step (of course) is to save your model! After you save the model you should see a link on the top left-hand corner, “Insight Access”. Click on that link, and a new window will pop up. Under “allow update access”, add a username (i.e., kevintshoemaker or waldenTA). click on the “Add User” button, and then click on “Submit”. Finally, embed the URL for your InsightMaker model(s) in your Word document!
Due Feb. 10 at 11 am.


Slider #1: minimal value is 0, maximal is 1, initial is 0.5, current is
:
Slider #2: minimal value is 100, maximal is 500, initial is 250, current is
:


The Willy Memorial Program
问题描述 :
Poor Willy was boiled in hot water, but his memory is still in our hearts. Though Stan tried his best, we want to write a program, in the memory of Willy, to compute the time Stan had, to rescue Willy, assuming he started to run just when the doctor opened the valve.
To simplify the problem, assume the pipes are all vertical cylinders with diameter 1 cm. Every pipe is open from the top and closed at the bottom. Some of the pipes are connected through special horizontal pipes named links. The links have very high flow capacity, but are so tiny that at any given time, the volume of water inside them is negligible. The water enters from top of one of the pipes with a constant rate of 0.25πcm3/sec and begins to fill the pipe from the bottom until the water reaches a link through which it flows horizontally and begins to fill the connected pipe. From elementary physics we know if two pipes are connected and the surface of the water is above the connecting link, the level of water in both pipes remains the same when we try to fill one of them. In this case the water fills each pipe with a rate equal to half of the rate of incoming water. As an example, consider the following configuration:
First, the lower 2 centimeters of the left pipe is filled with water at full rate, then, the lower 3 centimeters of the right pipe is filled, and after that, the upper part of the two pipes are filled in parallel at half rate. The input to your program is a configuration of pipes and links, and a target level in one of the pipes (the heavy dotted line in the above figure). The program should report how long it takes for the level of water to reach the target level. For the above configuration, the output is 9 seconds.
It is assumed that the water falls very rapidly, such that the time required for the water to fall can be neglected. The target level is always assumed to be a bit higher than the specified level for it. As an example, if we set the target point to level 4 in the left pipe in the figure above, the elapsed time for water to reach that target is assumed to be 5 (not 2), Also note that if the water reaches to the top of a pipe (say in level x), it won’t pour out outside the pipe until empty spaces in connected pipes below level x are filled (if can be filled, i.e. the level of water reaches the connecting links). (Note that there may be some links at level x, to which water is entered). After all such spaces are filled; the water level would not go up further.
输入:
The first line of the input file contains a single integer t (1 <= t <= 10), the number of test cases, followed by the input data for each test case. The first line of each test case is p (1 <= p <= 20), the number of pipes, followed by p lines, each describing a pipe. Each pipe description line consists of three numbers. The first two are (x, y) coordinates of the upper-left corner of the pipe and the third number is the height of the pipe (at least 1 cm and at most 20 cm). Note that diameter of each pipe is 1 cm.
After input data describing the pipes, there is a line containing a single integer l, which is the number of links (0 l 50). After it, there are l lines describing links. Each link description contains 3 integers. The first two are (x, y) coordinates of the left end-point of the link and the third is the length of the link (at least 1 cm and at most 20 cm). It is assumed that the width of the link is zero.
The last line for each test case contains two numbers. The first is the number of target pipe (starting from one, with the order appeared in test data). The second line is the desired y for the level of water in the target pipe (note that the specified level may be out of the pipe at all).
You can assume the following about the input:
The water enters into the first pipe.
No link crosses a pipe.
No two links have the same y coordinates.
No two pipes have the same upper-left x coordinates.
Both endpoints of each link are connected to pipes.
输出:
样例输入:
1 2 2 0 6 5 1 6 1 3 4 2 2 2
样例输出:
9
数据好小，然后乱搞。。。每次都从最下面开始一格一格灌水，然后判断有该格有没有管子相连，有的话就把连的那个管子和当前的管子合并，然后又重新从下面开始灌水，
直到达到或者溢出。。。
PS:好恶心的模拟题啊。。。WA了好久，发现循环变量名写错了一个。。。然后还是WA。。。最后才知道模拟的时候有一个判断的细节没有处理好，这个一定要注意，模拟题什么的要最仔细了，一定得想清楚。。- -#
写的很挫很挫的代码。。在zoj上用G++交会CE，然后把库函数改了，用C交AC。。。 - -|||||||，话说POJ的C++可以过。。。
#include<iostream> #include<cstdio> #include<cstdlib> #include<cstring> #include<string> #define N 1000000 using namespace std; struct ty { int x,y,len,bj; int linkx[75]; int linky[75]; }pipe[50]; struct ty2 { int v,bj,link; }f[120]; int ans; int ok() { int i,j,ii,flag[50],k; ans=0; memset(flag,0,sizeof(flag)); flag[1]=1; for(i=0;i<=110;i++)f[i].link=-1; for(i=0;i<=110;i++) { if((pipe[1].y<=i)&&(i<pipe[1].y+pipe[1].len))f[i].v+=1; if(i<pipe[1].y)f[i].v+=10000000; } for(j=1;j<=pipe[1].linky[0];j++) f[pipe[1].linky[j]].link=pipe[1].linkx[j]; if(pipe[1].bj!=-1)f[pipe[1].bj].bj=1; while(1) { for(i=110;i>=0;i--) { //printf("%d %d\n",i,f[i].bj); if(f[i].v>=10000000)return f[i+2].bj; //printf("%d\n",f[i].bj); if(f[i+1].bj==1)return 1; //printf("%d %d %d %d %d\n",i,f[i].v,f[i].bj,f[i].link,ans); ans+=f[i].v; f[i].v=0; if((f[i].link>=0)&&(flag[f[i].link]==0)) { k=f[i].link; f[i].link=-1; flag[k]=1; for(j=0;j<=110;j++) { if((pipe[k].y<=j)&&(j<pipe[k].y+pipe[k].len))f[j].v+=1; if(j<pipe[k].y)f[j].v+=1000000000; } for(j=1;j<=pipe[k].linky[0];j++) f[pipe[k].linky[j]].link=pipe[k].linkx[j]; //printf(" %d\n",pipe[k].bj); if(pipe[k].bj!=-1)f[pipe[k].bj].bj=1; break; } //if(f[i].bj==1)return 1; } if(i==-1)return 0; } } int main() { int t,p,l,x,y,len,t1,t2; scanf("%d",&t); while(t--) { memset(pipe,0,sizeof(pipe)); memset(f,0,sizeof(f)); scanf("%d",&p); for(int i=1;i<=p;i++) { scanf("%d%d%d",&pipe[i].x,&pipe[i].y,&pipe[i].len); pipe[i].bj=-1; } scanf("%d",&l); for(int i=1;i<=l;i++) { scanf("%d%d%d",&x,&y,&len); for(int j=1;j<=p;j++) { if(pipe[j].x+1==x)t1=j; if(pipe[j].x==x+len)t2=j; } pipe[t1].linkx[++pipe[t1].linkx[0]]=t2; pipe[t1].linky[++pipe[t1].linky[0]]=y; pipe[t2].linkx[++pipe[t2].linkx[0]]=t1; pipe[t2].linky[++pipe[t2].linky[0]]=y; } scanf("%d%d",&x,&y); pipe[x].bj=y; if(y<pipe[x].y||y>pipe[x].y+pipe[x].len){printf("No Solution\n");continue;} if(ok())printf("%d\n",ans); else printf("No Solution\n"); } return 0; }
解题转自：http://blog.csdn.net/wilsonlym/article/details/7578287
涨姿势了
#include <stdio.h>
int main()
{
int n,p,t[100]={1};
for(int i=1;i<100;i++)
t =i;
while(scanf("%d",&n)&&n!=0){
if(n==1)
printf("Printing order for 1 pages:nSheet 1, front: Blank, 1n");
else {
if(n%4) p=n/4+1;
else p=n/4;
int q=4*p;
printf("Printing order for %d pages:n",n);
for(int i=0;i<p;i++){
printf("Sheet %d, front: ",i+1);
if(q>n) {printf("Blank, %dn",t[2*i+1]);}
else {printf("%d, %dn",q,t[2*i+1]);}
q–;//打印表前
printf("Sheet %d, back : ",i+1);
if(q>n) {printf("%d, Blankn",t[2*i+2]);}
else {printf("%d, %dn",t[2*i+2],q);}
q–;//打印表后
}
}
}
return 0;
}
这个也是算法导论的习题
这个也是算法导论的习题
在方法1里面：
//遍历所有的边，计算入度
for(int i=0; i<V; i++)
{
degree = 0;
for (j = adj .begin(); j != adj .end(); ++j)
{
degree[*j]++;
}
}
为什么每遍历一条链表，要首先将每个链表头的顶点的入度置为0呢？
比如顶点5，若在顶点1、2、3、4的链表中出现过顶点5，那么要增加顶点5的入度，但是在遍历顶点5的链表时，又将顶点5的入度置为0了，那之前的从顶点1234到顶点5的边不是都没了吗？
第一题还有个解释：没说桌子有多大，可以假设桌子和硬币一样大，肯定是先手胜
学习了
helpful！！ mark
华为这题目略显简单啊
换句话说，A[k/2-1]不可能大于两数组合并之后的第k小值，所以我们可以将其抛弃。
应该是，不可能小于合并后的第K小值吧
是O(m+n)，不小心打错了
这个差别应该不会太大，或许编辑器就自动优化成内联函数了


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Police: Mother shoots adult daughter on Thanksgiving
CHARLOTTE, N.C. (WBTV / AP) - Police say violence erupted on Thanksgiving Day in a North Carolina apartment when a mother shot and killed her daughter.
The Charlotte-Mecklenburg Police Department said in a news release that officers were called to the apartment shortly before 10 p.m. Thursday.
There they found a woman with a gunshot wound who was transported to the hospital. The woman, identified as 37-year-old Chante Lavarche Alexander, was pronounced dead at the hospital.
A police news release said the woman’s mother, 56-year-old Elvira Elizabeth Alexander, has been charged with murder and possession of a stolen firearm.
Investigators described the crime as “domestic related.”
Police media relations staff didn’t immediately respond to a question about whether the suspect has a lawyer who can speak on her behalf.


Register Machine Program Input B c0 c1 c2 c3 … Run! Iterator: input output f(c1) Steps Step Line Instruction Memory Sequence of f(c1) Search for this sequence on oeis.org


Gradle integration is provided as part of Rest.li. Pegasus simplifies use of Rest.li’s code generators and compatibility checking by fully integrating them into the build system. (Note ‘pegasus’ is also the code name for the Rest.li project).
The underlying Java classes that enable code generation and validation are part of the Rest.li source and could be used to integrate with other build tools.
Adding the plugin is simple. First add a buildscript dependency on the com.linkedin.pegasus:pegasus-plugin
artifact and then use apply plugin 'pegasus'
in your build.gradle files. This topic is explained in detail below.
Gradle 1.8+ is required.
As an example, let’s consider a simple Rest.li project with three modules:
/api
module containing pegasus schema definitions in the src/main/pegasus
directory. This is where java client bindings for the service will be generated. (The client-bindings are sometimes not a separate project, but they are put into the /api
project along with the pdscs.)/server
module containing resources defined in java classes in the src/main/java
directory under the com.linkedin.restli.example.impl
namespace (E.g., com.linkedin.restli.example.impl.RestLiExampleBasicServer.java)./build.gradle:
apply plugin: 'idea'
apply plugin: 'eclipse'
project.ext.externalDependency = [
'pegasusVersion' : '<version>'
]
buildscript {
repositories {
mavenLocal()
mavenCentral()
}
dependencies {
classpath group: 'com.linkedin.pegasus', name: 'gradle-plugins', version: '<version>'
}
}
subprojects {
apply plugin: 'maven'
afterEvaluate {
if (project.plugins.hasPlugin('java')) {
sourceCompatibility = JavaVersion.VERSION_1_6
}
// add the standard pegasus dependencies wherever the plugin is used
if (project.plugins.hasPlugin('pegasus')) {
dependencies {
dataTemplateCompile spec.product.pegasus.data
restClientCompile spec.product.pegasus.restliClient
// needed for Gradle 1.9+
restClientCompile spec.product.pegasus.restliCommon
}
}
}
repositories {
mavenLocal()
mavenCentral()
}
}
/settings.gradle:
include 'api'
include 'server'
include 'client'
/api/build.gradle:
apply plugin: 'pegasus'
In /api
, Pegasus Data Schemas (.pdsc’s) should be added under /src/main/pegasus
. E.g. /src/main/pegasus/com/linkedin/restli/example/Hello.pdsc
.
The pegasus plugin will detect the presence of .pdsc files and automatically use the dataTemplateGenerator
task to generate java bindings for the .pdsc’s. In this example, a Hello.java
class would be generated.
The dataTemplateCompile
task automatically adds pegasus schemas that Hello.pdsc depends on, in this case, Hello.pdsc depends only on the core data libraries of pegasus, but projects containing other .pdsc’s could be depended on.
Pegasus will detect when a project contains interface definitions (called idl and located in .restspec.json files) in it’s /src/mainGeneratedRest/idl
directory (usually copied in from an idl extraction task from the server, see below) and will generate java bindings. For example, HelloBuilder.java
is generated from the idl of the hello resource (/src/main/idl/com/linkedin/restli/example/impl/Hello.restspec.json) and it written to the
/src/mainGeneratedRest/java’ directory of the /api
project.
/server/build.gradle:
apply plugin: 'java'
apply plugin: 'pegasus'
ext.apiProject = project(':api')
pegasus.main.idlOptions.addIdlItem(['com.linkedin.restli.example.impl']) // optional, if not set, all packages are scanned for resource classes
dependencies {
compile project(path: ':api', configuration: 'dataTemplate')
compile "com.linkedin.pegasus:restli-server:<version>"
// ...
}
In /server
, pegasus “Resource” java classes should be defined and should be in the package(s) referred to by pegasus.main.idlOptions
. E.g. /src/main/java/com/linkedin/restli/example/impl.HelloResource.java
.
Pegasus will extract an interface definition (.restspec.json) from the resource class and write it to /src/mainGeneratedRest/idl
directory.
Once the idl has been generated, it will be copied to the project identified by ext.apiProject
. In this example, it will be copied to /api/src/main/idl
. Before it is copied, api/src/main/idl
is scanned for pre-existing idl. If any is found, it is compared with the replacement idl that will be copied in and a compatibility checker is run that will return errors if the replacement idl is not backward compatible with the existing idl. The compatibility checks can be disabled by setting (but be warned, compatibility errors mean that a server running the new interface definition is now incompatible with clients running older versions, and should not be pushed to production systems). If the compatibility checks pass, the idl is copied into the client directories. Once copied, new ‘Client Bindings’ may be generated for the client, see below.
The compile dependency on :api
is required if the HelloResource.java depends on Hello.pdsc and it’s generated binding Hello.java. Note that the dependency includes a ‘configuration’ identifying this as a ‘dataTemplate’ dependency.
/client/build.gradle:
apply plugin: 'java'
dependencies {
compile project(path: ':api', configuration: 'restClient')
}
Once rest client bindings in the api project have been generated, it is trivial for a engineer to depend on the api project and use the generated client bindings to make calls to the new rest.li interface from any remote service.
One must add a compile dependency the ‘api’ project (or depend on it’s published artifacts, more about this below) and be sure to set the dependency configuration to ‘restClient’. Once this is done, it’s easy to use the HelloBuilder
class to construct a request.
To manage compatibility checking use the rest.model.compatibility flag. There are 4 different options: off
, equivalent
, backwards
and ignore
.
By default, the compatibility strategy is backwards
. It will only fail on backwards incompatible changes and is the recommended setting to run during normal development.
If you are building rest.li services in a continuous integration environment, we suggest that you set builds to run on equivalent
, meaning that ALL changes to an interface will cause a build failure. This will ensure that checked in code exactly corresponds with the interface.
If set to off
, the compatibility check is skipped entirely. ignore
will run the compatibility checker but will not fail for backward incompatible changes (and will print out the incompatibilities).
If desired, you may set a local default compatibility level. To do so, modify or create a ~/.gradle/gradle.properties to include:
~/.gradle/gradle.properties:
Prest.model.compatibility=<desired compatibility level here>
For example, to run a build ignoring backward incompatable interface changes (WARNING: remember that backward incompatible changes could break your clients):
gradle build -Prest.model.compatibility=ignore
To acknowledge a backwards compatible interface change use:
gradle build -Prest.model.compatibility=backwards
For additional details on compatibility checking, see Resource Compatibility Checking.
Often, the client bindings need to be accessible to developers outside the project workspace where the service is developed.
To publish rest client bindings to any maven repo first modify the api project’s gradle to look like:
/api/build.gradle:
// ... /api/build.gradle code from above ...
artifacts {
archives mainRestClientJar
archives mainDataTemplateJar
}
configure(install.repositories.mavenInstaller) {
addFilter('rest-client') {artifact, file ->
artifact.name == 'api-rest-client'
}.artifactId = 'rest-client'
addFilter('data-template') {artifact, file ->
artifact.name == 'api-data-template'
}.artifactId = 'data-template'
// artifact names for 'data-model', 'avro-schema' and 'rest-model' may be added as well if needed
}
The artifacts
section tells gradle to build jar files for the rest client bindings and the data templates.
The configure part instructs gradle to publish both artifacts into maven. Set names for each. (By default, gradle names the artifact publish to maven to api
. Since there are two artifacts, they need to be given distinct names.)
Next, update the root build.gradle file to include project information withing the subprojects section:
/build.gradle
// ... /build.gradle code from above ...
subprojects {
// ...
project.group = 'org.example'
project.version = '0.1'
}
Once the api build.gradle is updated, one can publish the maven artifacts. To publish to the maven local repo, simply run:
gradle install
to publish to a remove maven repository follow the gradle documentation
Once published, other projects may import the client bindings by depending on the two maven artifacts. For example:
dependencies {
compile "org.example:rest-client:0.1"
compile "org.example:data-template:0.1"
}
The gradle tasks for pegasus are provided by the ‘pegasus’ plugin. The source for this plugin is in PegasusGeneratorV2Plugin.groovy
. This plugin defines custom of gradle SourceDirectorySet
s for the ‘idl’, ‘pegasus’ source types and tasks
for the rest.li code generators. It also defines custom published artifact “configurations” and dependencies on between these custom published artifact “configurations”.
The plugin recognizes a number of source directories in rest.li projects. When any of these directories are detected (and they contain at least one source file), the plugin dynamically adds tasks the gradle build dependency tree for these directories.
In this section we below refers to gradle sourceSets
. The most common sourceSets are main
and test
.
src/{sourceSet}/pegasus
Used by ‘api’ modules.
Contains data schemas (.pdsc) files. If .pdsc files are present in this directory, the generate{sourceSet}DataTemplate
tasks (e.g. generateMainDataTemplate
) will generate java data templates (RecordTemplate java classes) in the src/{sourceSet}GeneratedDataTemplate
directory.
The .pdsc files are published into a *-data-template.jar
artifact. If ivy is used this artifact is published with the module name and under the ‘data-template’ classification.
The generated java data templates (RecordTemplate java classes) are are published as a -data-model.jar
artifact. If ivy is used this artifact is published with the module name and under the ‘data-model’ classification.
src/{sourceSet}GeneratedRest/idl
Used by ‘server’ modules.
These files are generated by the generateRestModel
task, for modules containing {*Resource.java} files (which must be in a package referenced by pegasus.{sourceSet}.idlOptions.addIdlItem(namespaces)
). One important aspect of idl is that by convention they are generated by a ‘server’ module (and written to the src/{sourceSet}GeneratedRest/idl
) and then are copied to the /src/{sourceSet}/idl
directory of an api module (via the ext.apiProject
property).
No artifacts are published directly from the server for these files, see src/{sourceSet}/idl
for details on how they are published from the ‘api’ project.
src/{sourceSet}/idl
Used by ‘api’ modules.
Contains published idl (.restspec.json) files. These files represent the interface definition of the rest.li resources provided by some service. They should be checked in to source control. They are copied into the idl directory from server module by the publishRestliIdl
task. For this copy to happen the server module must contain a ext.apiProject
property referencing this ‘api’ module. As part of this copy, idl compatibility validation will be run (see above for details).
The idl is published as a *-rest-model.jar
artifact. If ivy is used this artifact is published with the module name and under the ‘rest-model’ classification.
src/{sourceSet}GeneratedAvroSchema/avro
Used by ‘api’ modules.
Avro schema files (.avsc) generated from pegasus data schema files (.pdsc) by the generateAvroSchema
task.
All the following tasks are automatically added by the ‘pegasus’ gradle plugin into the gradle task dependency hierarchy. They run automatically and in the correct order run as part of ‘gradle build’, ‘gradle jar’ and ‘gradle compileJava’ when the plugin detects that they are needed.
generateRestModel
Generates .restspec.json files from java files annotated as rest.li resources in the namespaces that have been added to the idl list using pegasus.{sourceSet}.idlOptions.addIdlItem()
. Writes these .restspec.json files into the src/{sourceSet}GeneratedRest/idl
directory. This tasks is depended on by the publishRestliIdl task.
publishRestliIdl
Copies idl (restspec.json) from server to api project (or whatever the ext.apiProject property is set to). These files are normally located in the src/mainGeneratedRest/idl
directory in the server project and the src/main/idl
direcotry in the api project. This tasks runs compatibility validation (see above). While not strictly a ‘generate’ task, it is a essential part of the generator flow. It is depended on by the jar task.
publishRestliSnapshot
Works the same as publishRestliIdl
except that it copies “snapshot.json” files usually located in src/mainGeneratedRest/snapshot
from the server project to the src/main/snapshot
directory in the api project.
Snapshot files are used for compatibility checking whereas idl files are the formal interface definition and are used to generate client bindings.
generate{sourceSet}GeneratedRestRestClient
Generates java client bindings (*Builders.java
classes) into the src/{sourceSet}GeneratedRest/java
. It depends on the .restspec.json files in src/{sourceSet}/idl
directory and the pegasus schemas (.pdsc files) in src/{sourceSet}/pegasus
as well as from ‘dataModel’ dependencies (in ivy, these are dependencies from the “data-model” classification). Depended on by the compileJava task.
generateDataTemplate
Generates java data template bindings (RecordTemplate java classes). It depends on the pegasus schemas (.pdsc files) in src/{sourceSet}/pegasus
as well as from ‘dataModel’ dependencies (in ivy, these are dependencies from the “data-model” classification). Depended on by the compileJava task.
generateAvroSchema
Generates avro schemas (.avsc files) from the pegasus schemas (.pdsc files) in src/{sourceSet}/pegasus
. Requires the same ‘dataModel’ dependencies as required by the pegasus schemas (in ivy, these are dependencies from the “data-model” classification). Depended on by generateDataTemplate task.
To run this task, the avroSchemaGenerator
“configuration” must be configured with rest.li’s data-avro-generator
artifact. This is done by adding the follow dependency:
dependencies {
avroSchemaGenerator "com.linkedin.pegasus:data-avro-generator:<pegasus-version>"
}
*-data-model.jar
artifactContains .pdsc files, generated by the generateDataModel
task. This is only generated from a project if it contains one or more .pdsc files in it’s src/{sourceSet}/pegasus
directory.
*-data-template.jar
artifactContains java generated bindings (.class files) for accessing the pegasus schemas (.pdsc files) in the module’s src/{sourceSet}/pegasus
directory. This artifact is generated by the generateDataTemplate
task. This artifact is only generated from a project if it contains one or more .pdsc files in it’s src/{sourceSet}/pegasus
directory.
This artifact will also define dependencies in it’s .pom or .ivy file to data-template artifacts it depends on (these are specified as dataTemplate
dependencies in the module’s build.gradle).
*-avro-schema.jar
artifactContains .avro schema files for the pegasus schemas (.pdsc files) in this module’s src/{sourceSet}/pegasus
directory. This .avro files are generated by the generateAvroSchema
task.
This artifact will also define dependencies in it’s .pom or .ivy file to avro-schemas artifacts it depends on (these are specified as dataTemplate
dependencies in the module’s build.gradle).
*-rest-model.jar
artifactContains .idl (restspec.json) files for the idl in the module’s `src/{sourceSet}/idl’ directory. These .idl files are generated by the generateRestModel task from a server then copied to an api project by the publishRestliIdl task (via the ext.apiProject property).
*-rest-client.jar
Contains rest client java bindings (*Builders.java classes) generated from the idl of the source module.
This artifact will also define dependencies in it’s .pom or .ivy file to java data template binding artifacts (*-data-model.jar
) it requires, including the one for the module itself and for any other pegasus schemas it depends on (these are specified as dataModel
dependencies in the module’s build.gradle).
There are two types of pegasus plugin dependency types. The first type is one required by the plugin for running code generators and compiling code. The second type is those developers can use to define different sorts dependencies between the various source languages, primarily pegasus schemas (.pdsc files).
restTools
- required by ‘api’ and ‘server’ modules to generate rest client bindings (*Builders.java files), run compatibility checks, and use rest.li document generation (docgen). The dependency must refer to a compatible version of the pegasus:rest-tools artifact.
dataTemplateCompile
- Required by ‘api’ modules to do data template compilation. The dependency must refer to a compatible version of the pegasus:data artifact.
dataTemplateGenerator
- Required by ‘api’ modules to do data template generation. The dependency must refer to a compatible version of the pegasus:generator artifact.
restClientCompile
- Required by ‘api’ modules to compile client java bindings (*Builders.java files) to .class files. The dependency must refer to a compatible version of the pegasus:restli-client artifact.
Example build.gradle for an ‘api’ module:
...
dependencies {
compile "com.linkedin.pegasus:restli-client:<version>"
dataTemplateCompile "com.linkedin.pegasus:data:<version>"
dataTemplateGenerator "com.linkedin.pegasus:generator:<version>"
restTools "com.linkedin.pegasus:restli-tools:<version>"
restClientCompile "com.linkedin.pegasus:restli-client:<version>"
}
dataTemplate
- Adds a dependency on the pegasus schemas from another module or artifact. This is required when the current module’s pdsc files refer to schema types that reside in another module or artifact.
Example build.gradle:
...
dependencies {
// for ivy:
dataTemplate group: 'org.example', name: 'common-pegasus-schemas', version: '1.0', classifier: 'dataTemplate'
// for maven, remove the classifier and change the name to match the artifact name of the published dataTemplate, by convention it should be '{modulename}-data-template}'
...
}
This is provided for reference only. A understanding of these classes is not required to use pegasus. These classes would be useful primarily if one were deeply integrating pegasus with a build system not already supported by pegasus.
Generate Avro avsc files from Pegasus Data Model schemas (.pdsc files):
java [-Dgenerator.resolver.path=<dataSchemaRelativePath>] \
-cp <CLASSPATH> com.linkedin.data.avro.generator.AvroSchemaGenerator \
<outputDir> [<inputFileOrDir> ...]
com.linkedin.pegasus:data:[CURRENT_VERSION]
AND com.linkedin.pegasus:data-avro:[CURRENT_VERSION]
artifacts and all their dependencies.Build integration: for builds requiring avro schemas, assembly (creation of jar) should depend on this task
Generates Java data templates (.java files) from Pegasus Data Model schemas (.pdsc files):
java [-Dgenerator.resolver.path=<dataSchemaRelativePath>] -cp <CLASSPATH> \
com.linkedin.pegasus.generator.PegasusDataTemplateGenerator \
<outputDir> [<inputFileOrDir> ...]
com.linkedin.pegasus:generator:[CURRENT_VERSION]
artifact and all its dependencies.Serializes a set of resource models to a RESTspec IDL file:
java -cp <CLASSPATH> com.linkedin.restli.tools.idlgen.RestLiResourceModelExporterCmdLineApp \
-outdir <outputDirPath> -sourcepath <sourcePath> -resourcepackages <resourcePackages>
com.linkedin.pegasus:restli-tools:[CURRENT_VERSION]
artifact and all its dependencies. Compiled classes within the java packages referred to by resourcePackages
Build integration: assembly (creation of jar) should depend on this task. This task depends on compilation of classes within the java packages referred to by resourcePackages
.
Copies IDL (.restspec.json) files to client module and check backwards compatibility between pairs of idl (.restspec.json) files. The check result messages are categorized:
java [-Dgenerator.resolver.path=<dataSchemaRelativePath>] -cp CLASSPATH \
com.linkedin.restli.tools.idlcheck.RestLiResourceModelCompatibilityChecker \
[--compat OFF|IGNORE|BACKWARDS|EQUIVALENT] [pairs of <prevRestspecPath currRestspecPath>]
com.linkedin.pegasus:restli-tools:[CURRENT_VERSION]
artifact and all it’s dependencies.Build integration: assembly (creation of jar) should depend on this task. If compatibility checker passes, all .restspec.json files should be copied from the server module to the module where client bindings are generated. This task depends on the Generate Rest Model IDL
task. A property named rest.model.compatibility
should be overridable by the developer (allowing them to set it to ignore
or backwards
) and should default to ‘equivalent’ if they do not provide it.
Generates Java request builders from Rest.li idl:
java [-Dgenerator.resolver.path=<dataSchemaRelativePath>] \
[-Dgenerator.rest.generate.datatemplates=<true|false>] \
-cp <CLASSPATH> com.linkedin.restli.tools.clientgen.RestRequestBuilderGenerator \
<targetDirectoryPath> [<sourceFileOrDir> ...]
com.linkedin.pegasus:restli-tools:[CURRENT_VERSION]
artifact and all its dependencies.Build integration: Compilation of java source should depend on this task.
To construct these build tasks, it can help to add a utility task that constructs a list of all the source paths used for data template generation
, avro schema generation
, rest model generation
and rest client generation
.
No java class for this. All directories written to by data template generation
, avro schema generation
, rest model generation
and rest client generation
should be deleted.
Build integration: clean task should depend on this


--- layout: post title: Portfolio tags: [] status: publish type: post published: true meta: {} ---
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{% extends "users/startupBase.html" %} {% block ctt %}
Your password has been changed, login with the new password to continue


Geography quiz: Identify the country from its outline
Level:
0
/
0
Time:
00:00
Points:
0
Faults:
0
Status:
Completed
Failed
Score:
0


--- layout: default ---
Please read: Visualization Analysis & Design, Chapter 2 “What: Data Abstraction”
Please read/skim: Visualization Analysis & Design, Chapter 3 “Why: Task Abstraction”
Please watch:


Fn::Transform
The intrinsic function Fn::Transform
specifies a macro to perform custom
processing on part of a stack template. Macros enable you to perform custom processing on
templates, from simple actions like find-and-replace operations to extensive transformations
of entire templates. For more information, see Using AWS CloudFormation macros to perform custom processing on
templates.
You can also use Fn::Transform
to call the AWS::Include transform
transform, which is a macro hosted by AWS CloudFormation.
Declaration
JSON
Syntax for the full function name:
{ "Fn::Transform": { "Name": "
macro name
", "Parameters": { "Key
": "value
" } } }
Syntax for the short form:
{ "Transform": { "Name": "
macro name
", "Parameters": { "Key
": "value
" } } }
YAML
Syntax for the full function name:
Fn::Transform: Name :
macro name
Parameters :Key
:value
Syntax for the short form:
Transform: Name:
macro name
Parameters:Key
:value
Parameters
- Name
-
The name of the macro you want to perform the processing.
- Parameters
-
The list parameters, specified as key-value pairs, to pass to the macro.
Return value
The processed template snippet to be included in the processed stack template.
Examples
The following example calls the AWS::Include
transform, specifying that the
location to retrieve a template snippet from is passed in the InputValue
parameter.
JSON
{ "Fn::Transform": { "Name": "AWS::Include", "Parameters": { "Location": { "Ref": "InputValue" } } } }
YAML
'Fn::Transform': Name: 'AWS::Include' Parameters: Location: !Ref InputValue
The following example calls the AWS::Include
transform, specifying that the
location to retrieve a template snippet from is located in the RegionMap
mapping, under the key us-east-1
and nested key
s3Location
.
JSON
{ "Fn::Transform": { "Name": "AWS::Include", "Parameters": { "Location": { "Fn::FindInMap": [ "RegionMap", "us-east-1", "s3Location" ] } } } }
YAML
!Transform Name: AWS::Include Parameters: Location: !FindInMap - RegionMap - us-east-1 - s3Location
Supported functions
None.
CloudFormation passes any intrinsic function calls included in Fn::Transform
to
the specified macro as literal strings. For more information, see AWS CloudFormation macro function interface.


Schedule
Mon: Tyke, Peewee
Tue: Mite, Bantam
Wed: Novice
Thu: Atom, Midget
Fri: NO ICE
Sat: Tyke, Novice, Peewee,Bantam
Sun: Mite, Atom, Midget
(Consult your team email for specific icetimes)
Mon: Tyke, Peewee
Tue: Mite, Bantam
Wed: Novice
Thu: Atom, Midget
Fri: NO ICE
Sat: Tyke, Novice, Peewee,Bantam
Sun: Mite, Atom, Midget
(Consult your team email for specific icetimes)
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You can check the coveted year-end awards here, along with the current holder of the trophy based on division. If you have inquiries on how to be considered for the social trophies, message the email in our contact page.
If you are looking into joining the league but don't know how to skate we offer a few skating programs for youth, as well as the list of public skates available here.


Welcome to Mathews Pizza Parlor
Select a pizza size
Small
Medium
Large
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Cheese
Pepperoni
Chicken
Beef
Ham
Sausage
Pineapple
Bell Pepper
Olives
Sun Dried Tomatoes
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Pick Up from Store
Delivery
Street Address
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State
Zip Code
Order Pizza
Order again


Summary
Multiple critical vulnerabilities in Struts2
| Who should read this |
All Struts 2 developers |
| Impact of vulnerability |
Remote command execution and arbitrary file overwrite, Strict DMI does not work correctly |
| Maximum security rating |
Critical |
| Recommendation |
Developers should immediately upgrade to Struts <IP_ADDRESS> or read the following solution instructions carefully for a configuration change to mitigate the vulnerability |
| Affected Software |
Struts 2.1.0 - Struts 2.3.1 |
| Original JIRA Ticket |
WW-3729 |
| Reporter |
Johannes Dahse, SEC Consult Vulnerability Lab and Bruce Phillips (blog post) |
| CVE Identifier |
|
| Original Description |
Reported directly to<EMAIL_ADDRESS>and Struts 2 Security Vulnerability - Dynamic Method Invocation |
Problem
To prevent attackers calling arbitrary methods within parameters the flag xwork.MethodAccessor.denyMethodExecution is set to true and the SecurityMemberAccess field allowStaticMethodAccess is set to false by default. Also, to prevent access to context variables an improved character whitelist for parameter names is applied in the ParameterInterceptor since Struts <IP_ADDRESS>:
acceptedParamNames = "[a-zA-Z0-9\.][()_']+";
Under certain circumstances these restrictions can be bypassed to execute malicious Java code.
- Remote command execution in Struts <= <IP_ADDRESS> (ExceptionDelegator)
When an exception occurs while applying parameter values to properties, the value is evaluated as an OGNL expression. For example, this occurs when setting a string value to an integer property. Since the values are not filtered an attacker can abuse the power of the OGNL language to execute arbitrary Java code leading to remote command execution. This issue has been reported (https://issues.apache.org/jira/browse/WW-3668) and was fixed in Struts <IP_ADDRESS>. However the ability to execute arbitrary Java code has been overlooked.
- Remote command execution in Struts <= 2.3.1 (CookieInterceptor)
The character whitelist for parameter names is not applied to the CookieInterceptor. When Struts is configured to handle cookie names, an attacker can execute arbitrary system commands with static method access to Java functions. Therefore the flag allowStaticMethodAccess can be set to true within the request.
- Arbitrary File Overwrite in Struts <= 2.3.1 (ParameterInterceptor)
While accessing the flag allowStaticMethodAccess within parameters is prohibited since Struts <IP_ADDRESS> an attacker can still access public constructors with only one parameter of type String to create new Java objects and access their setters with only one parameter of type String. This can be abused in example to create and overwrite arbitrary files. To inject forbidden characters into a filename an uninitialized string property can be used.
- Remote command execution in Struts <= 2.3.1 (DebuggingInterceptor)
While not being a security vulnerability itself, please note that applications running in developer mode and using the DebuggingInterceptor are prone to remote command execution as well. While applications should never run in developer mode during production, developers should be aware that doing so not only has performance issues (as documented) but also a critical security impact.
Solution
| It is strongly recommended to upgrade to Struts <IP_ADDRESS>, which contains the corrected classes. |
Update to Struts 2.3.1 and apply a stronger acceptedParamNames filter to the ParameterInterceptor and CookieInterceptor:
acceptedParamNames = "[a-zA-Z0-9\.][()_']+";


Sorry for my English! Is it possible to build in the ability to filter servers bblog Battlefild 3 to ping to the server selection page is not showing the server with ping higher than the set? If possible, could you accomplish this?
BrainFooLong
Administrator
Often requested. Not possible.
juress
Theme Developer
This feature is included in the Battlelog plus addon
BrainFooLong
Administrator
True. BBLog doesn't include it because of many more requests generated to battlelog servers.