new Range()
Members
-
<static> OPERATORS
-
Object mapping of range operators to constructor functions
Operator String Constructor Function ">" Range.greaterThan "<" Range.LessThan ">=" Range.greaterThanOrEqual "<=" Range.lessThanOrEqual "=" Range.equal "$and" Range.and "$has" Range.has "$hasAll" Range.hasAll -
<static> UNBOUNDED
-
Provide access to global Unbounded range
Methods
-
<static> and(ranges [, order])
-
Create a range containing values in all the given ranges
TODO: consider if this needs to support Between parameters.
Parameters:
Name Type Argument Default Description ranges
Array.<Range~AnyValue> order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> between(lower, upper [, order])
-
Create a range containing values between the given values
Parameters:
Name Type Argument Default Description lower
Range~BetweenValue lower range boundary (inclusive by default)
upper
Range~BetweenValue upper range boundary (exclusive by default)
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> equals(value [, order])
-
Create a range containing a single value
Parameters:
Name Type Argument Default Description value
Range~SimpleValue value to search for
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> from(bounds [, order])
-
Create a range.
Specified bounds may be an array, or any object supported by Range.fromValue
Type Result Range~BetweenValue[] [a,b] -> Range.between(Range.fromBounds(a,Range.greaterThanOrEqual, order), Range.fromBounds(b,Range.lessThan, order)) Range~AnyValue Range.fromValue(object) Parameters:
Name Type Argument Default Description bounds
Range~AnyValue | Array.<Range~BetweenValue> bounding values for range
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a range, or undefined if paramters are not compatible.
- Type
- Range
-
<static> fromBounds(obj)
-
Create a range from a bounds object
Parameters:
Name Type Description obj
Range~Bounds Returns:
a range if obj is a bounds object, null otherwise
- Type
- Range
-
<static> fromValue(obj [, default_constructor] [, order])
-
Create a range from a single value
The parameter 'obj' may be a bounds object, a simple value, a parameter a Query, or a Range. The result varies according to the type of obj, and whether an explicit order function is provided.
Type of obj order Result null null undefined undefined Range obj Query Range.subquery(obj) Range~Bounds Range.fromBounds(obj) Param default_constructor(obj, order) Param~ParamObject default_constructor(Param.from(obj), order) Object provided default_constructor(obj, order) Object default Range.subquery(Query.from(obj)) Parameters:
Name Type Argument Default Description obj
Range~AnyValue value
default_constructor
function <optional>
Range.equals constructor to use if Param or Comparable is provided
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a range
- Type
- Range
-
<static> greaterThan(value [, order])
-
Create a range containing values greater than a given value
Parameters:
Name Type Argument Default Description value
Range~SimpleValue range boundary
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> greaterThanOrEqual(value [, order])
-
Create a range containing values greater than or equal to a given value
Parameters:
Name Type Argument Default Description value
Range~SimpleValue range boundary
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> has(bounds)
-
Create a range which includes items containing an array which has elements within a range
Objects we are querying may be complex. Where an object property contains an array of simple objects, we may what to execute a search data contained by that object or array in order to determine if the origninal high-level object is matched or not. A trivial case would be a constraint that reads something like:
{tags : { $has: 'javascript'}}
to select objects with the word 'javascript' in the tags array. This constraint can be constructed with:
{ tags: Range.has( Range.equals('javascript') ) }
Parameters:
Name Type Description bounds
Range ranges that select items in the array
Returns:
a Range object
- Type
- Range
-
<static> hasAll(bounds)
-
Create a range which includes items containing an array which has elements within a range
Objects we are querying may be complex. Where an object property contains an array of simple objects, we may what to execute a search data contained by that object or array in order to determine if the origninal high-level object is matched or not. A trivial case would be a constraint that reads something like:
{tags : { $hasAll: ['javascript','framework'] } }
to select objects with the words 'javascript' and 'framework' in the tags array. This constraint can be constructed with:
{ tags: Range.hasAll( [Range.equals('javascript'),Range.equals('framework')] ) }
Parameters:
Name Type Description bounds
Array.<Range> ranges that select items in the array
Returns:
a Range object
- Type
- Range
-
<static> isRange(obj)
-
Check to see if an object is a Range
Parameters:
Name Type Description obj
object to check.
Returns:
true if obj has operator, contains, and intersect properties.
-
<static> lessThan(value [, order])
-
Create a range containing values less than a given value
Parameters:
Name Type Argument Default Description value
Range~SimpleValue range boundary
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> lessThanOrEqual(value [, order])
-
Create a range containing values less than or equal to a given value
Parameters:
Name Type Argument Default Description value
Range~SimpleValue range boundary
order
Range~OrderingFunction <optional>
DEFAULT_ORDER compare two values and return true if the first is less than the second.
Returns:
a Range object
- Type
- Range
-
<static> subquery(query)
-
Create a range with a subquery
Objects we are querying may be complex. Where an object property contains an object or an array, we may what to execute a subquery on data contained by that object or array in order to determine if the origninal high-level object is matched or not. A trivial case would be a constraint that reads something like:
{name : { last: 'Essex'}}
to select objects with name.last equal to 'Essex'. This constraint can be constructed with:
{ name: Range.subquery(Query.from({ last: Range.equals('Essex') } ) ) }
However Range.from({last: 'Essex'}) should in most cases do the right thing more succinctly.
Parameters:
Name Type Description query
Query Subquery (which must select data for this range criterion to be satisfied)
Returns:
a Range object
- Type
- Range
Type Definitions
-
AnyValue
-
Anything that can be converted into a range.
Type:
- Range~BetweenValue | Query
-
Bounds
-
Bounds object
An object with a single property key that is one of the operators defined in Range.OPERATORS. The value of the property should be comparable.
Type:
- Object.<string, Range~SimpleValue>
-
OrderingFunction(a, b)
-
Compare two values and return the lesser
Parameters:
Name Type Description a
first value to compare
b
second value to compare
Returns:
true if a < b
- Type
- boolean
-
SimpleValue
-
A value that can be used as a parameter when creating a simple range (e.g. with Range.equals, Range.lessThan, etc)
Type:
- Object | Param | Param~ParamObject


Home »
Bugs » BUG 222 : ENHANCEMENT - Add LDAP support ... find, insert, update delete
Rob
22 Feb 09:58
typical bean mapping
Rob
22 Feb 10:03
Configure the server .. and use Query and save as per normal
Rob
22 Feb 10:03
That's it
Rob
22 Feb 10:06
Note: One server ... handling both Ldap and DB entities


CrimPapers
Articles published on 9 April 2020
On 9 April 2020, 6 new articles were published in 6 journals.
Queer Histories and the Politics of Policing by Justin R. Ellis
The Role of Police Occupational Culture on Officers’ Job Satisfaction and Work Motivation by Ismail Cenk Demirkol
Can Participation in Belly Dancing Improve Body Image and Self-Esteem in Women Who Have Experienced Sexual Harassment? by Ofra Walter
Transitioning House: A “Safe Umbrella” From Criminal Stigmatization? by Christiane Schwarz
What Does Success Look Like? Lessons From the Innovations in Community-Based Crime Reduction (cbcr) Program by Natalie Kroovand Hipple, Jessica Saunders, Kayla Allison, Jessica Peterson
Social Integration and Confidence in the Police: A Cross-National Multi-Level Analysis by Jaeyong Choi, Nathan E. Kruis


ELIJAH Richard Michael Anthony LEWIS
Democrat
Union stagehand
Denver Public Schools high school graduate via GED, US Army special forces training, network engineering certifications (expired - CIsco & Microsoft), 20 years of union craftsmen stagecraft laborer.
80203
Sample ballot lit drops for the Democrat party during election cycles.
I am a neighborhood PCP who has not donated to anyone any monies for any reason since 2015.
Journeyman member of IATSE Local #7 stage union since 2013.
Because I think legislative districts should be based on geographic realities, like water basins and mountain ranges without being drawn around blocks of certain types of voters to be of advantage or disadvantage of any political caucuses. It makes no sense that Grand County is in the same congressional district as Boulder, but you have to drive through other counties and congressional districts to get between the two counties in the same congressional district.
I have always been the one to try to help a resolution manifest between those having disagreements, by trying to understand what is truly important to all and find common ground. Also, trying to find something to bond them together by mutual interests in the issue to work from while giving everyone tasks to help them become invested in the project as a group.
I was a network engineer troubleshooter for a few years. I have military NCO and small unit tactics training. I focus on data not personalities.
Male


Thank you for your registration to the 7th Deleuze / Guattari Studies in Asia Conference.
We can offer specially priced accommodation for students (Yoyogi Olympic Center : 5500 JPY par night). If you are an undergraduate, graduate, postdoctoral student or unwaged, and if you wish to stay there, please complete this form.


Entity
needs to be sent to this system for processing.Components
with their type identifiers,
and helpful methods for accessing and manipulating them.Entity
using the EntityTemplate
associated with the given tag.EntityGroupTemplate
associated with the given tag.


At the moment I'm working a benchmark suite to assess generalisation in imitation learning. It is a multi-task benchmark. Each task takes place in a common “universe” in which possible worlds can consists of zero or more movable blocks, zero or more immovable ”goal regions“, and a robot that can move and push the blocks around. To assess generalisation, each task is split into a demonstration variant—a fixed initial state of the world that the human demonstrator starts in when giving demonstrations—and a set of test variants that randomise some aspect of the world (e.g. block properties, position of the robot, etc.). The challenge for IL algorithms is to solve the test variants given only human demonstrations from the demonstration variant.
I'd like to see how well real humans (you!) can infer the intent behind the demonstrations I've collected for my benchmark suite. To that end, I've created this form. The form is split into six sections, with one section for each task (I've given the tasks randomly-assigned numbers instead of names). Each section includes the following:
Hence, for each task, I'd like you to do the following:
In most cases your responses should only need to be 1-2 sentences, but you can write more if you want to. If you feel a task is ambiguous, just use your best guess at what the goal is (and maybe tell me that you think the task is unfair, since that's useful info for me!).
Once you're done, follow the instructions at the bottom of this page to send the results to me. Thanks for your help!
Almost done! Just copy the following text and send it via Slack or email to Sam. If you've written descriptions but don't see a random jumble of letters in the box below, then something is probably broken; just send a screenshot of your responses to Sam instead.


{{ with .Site.Params.callforpapers.title }}{{ . | markdownify }}{{ end }}
Accepting submissions: {{ with .Site.Params.callforpapers.dates }}{{ . | markdownify }}{{ end }}
Talks can be anything R related and at any level (beginner, intermediate, advanced). We encourage you to apply, especially if you have connections to Ohio.


Proportion: using parametric points to make lots of things
You can easily build many objects out of parametrically-generated points.
Please look at the source code of this page for more information.


Sending Doctor |
|
Recommendations |
|
Risks |
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Relevant History |
|
Notes |
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Sending Doctor |
Recommendations |
||
Relevant History |
Risks |
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Notes |
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Sending Doctor |
Recommendations |
Risks |
|||
Relevant History |
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Network
The
network
object gives access to the device's cellular and wifi connection information.
Methods
Arguments
Constants
network.isReachable
Checks if a connection can be established with a specific domain.
network.isReachable(reachableHostname, reachableCallback, [reachableOptions])
Description
This is a fast way to determine the device's network connection state, type of connection, and whether a specific domain is online.
Since network.isReachable
is an asynchronous function, the network state is returned using a callback function.
Supported Platforms
- Android
- BlackBerry
- BlackBerry Widgets (OS 5.0 and higher)
- iPhone
Quick Example
function reachableCallback(reachability) {
// There is no consistency on the format of reachability
var networkState = reachability.code || reachability;
var states = {};
states[NetworkStatus.NOT_REACHABLE] = 'No network connection';
states[NetworkStatus.REACHABLE_VIA_CARRIER_DATA_NETWORK] = 'Carrier data connection';
states[NetworkStatus.REACHABLE_VIA_WIFI_NETWORK] = 'WiFi connection';
alert('Connection type: ' + states[networkState]);
}
navigator.network.isReachable('phonegap.com', reachableCallback);
Full Example
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN"
"http://www.w3.org/TR/html4/strict.dtd">

<title>isReachable Example</title>

A dialog box will report the network state.

NetworkStatus
NetworkStatus
defines a set of constants that describe the state of the network connection. The reachability
argument of network.isReachable
is a NetworkStatus
constant.
Constants
NetworkStatus.NOT_REACHABLE
NetworkStatus.REACHABLE_VIA_WIFI_NETWORK
NetworkStatus.REACHABLE_VIA_CARRIER_DATA_NETWORK
reachableCallback
A callback function that provides the reachability status of a hostname.
function reachableCallback(reachability) {
// Check the reachability state
}
Parameters
-
reachability: The device's network state. (
NetworkStatus
)- Unfortunately, there is no consistency across the platforms on the
reachability
format. See the quirks below for platform details.
- Unfortunately, there is no consistency across the platforms on the
Description
This callback accepts a single argument called reachability
, which is a NetworkStatus
constant.
Example
function reachableCallback(reachability) {
// There is no consistency on the format of reachability
var networkState = reachability.code || reachability;
var states = {};
states[NetworkStatus.NOT_REACHABLE] = 'No network connection';
states[NetworkStatus.REACHABLE_VIA_CARRIER_DATA_NETWORK] = 'Carrier data connection';
states[NetworkStatus.REACHABLE_VIA_WIFI_NETWORK] = 'WiFi connection';
alert('Connection type: ' + states[networkState]);
}
BlackBerry Quirks
Provides the network status as the value of reachablity
function reachableCallback(reachability) {
var hasConnection = (reachability !== NetworkStatus.NOT_REACHABLE);
}
iPhone Quirks
The iPhone implementation only provides information about the type of connection available. It does not verify that the host is actually available.
reachableHostname
A String
that specifies the remote host.
The hostname can be a domain name or a network address:
// Valid host names
//
var hostname = 'phonegap.com';
var hostname = '<IP_ADDRESS>';
var hostname = 'localhost';
reachableOptions
An optional parameter to customize the type of reachability call.
{ isIpAddress: false };
Options
-
isIpAddress: Specifies whether the reachableHostname is an IP Address. (
Boolean
) (Default:false
)


UN Climate Change Conference October 2011
07-Oct-11 — original report
In the morning and afternoon informal group meetings, parties discussed four non-papers presented by the co-facilitators on: the NAMA Registry; guidelines for biennial update reports; NAMAs; and ICA.
On the NAMA Registry, many parties welcomed the text and highlighted areas that needed strengthening, including enhancing clarity on support frameworks for NAMAs and the correct classification of information on funding sources.
Some parties supported two sections, one for domestically supported NAMAs and another for internationally supported NAMAs.
Many parties suggested inclusion of a user-friendly web-based searchable platform, others requested excluding a reference to the Financial Mechanism of the Convention.
On biennial update reports, many developing countries acknowledged that the new text had been improved, but pointed to the need for further harmonization with existing non-Annex I guidelines for national communications.
Many developing countries suggested including reference to additional support and capacity building required for biennial update reports.
A developed party supported incorporating an introductory paragraph stating that the biennial update reports are a component of national communications and should be submitted between national communications.
On NAMAs, many developing countries cautioned against categorizing and standardizing NAMAs, while some developed countries supported a common format or standardized template.
Some developed countries reiterated the need for a common accounting framework, while several developing countries said discussions on common accounting rules are premature, noting that comparability should apply among Annex I parties and not between Annex I parties and non-Annex I parties.
A developing country suggested that a template and a checklist be used for NAMAs.
On ICA, many provided comments and requested clarifications on, inter alia : the pool of experts, and the frequency and flexibility of ICA.
Some developed countries supported including reference to ICA being conducted every two years.
Some developing countries pointed out that the Cancun Agreements do not establish the frequency of ICA.
In the afternoon spin-off group, parties continued to discuss options, clarify issues and streamline text under Chapter III.
Parties agreed to a narrowed list of improvements needed on: continuity of CDM, nuclear energy in both CDM and JI, share of proceeds, and new market-based mechanisms.
Co-Facilitator Barata will report to the AWG-KP Chair on these issues and a list of proposed insertions and objections to the text, which will be reviewed in the AWG-KP contact group.
The informal group met in the morning and the afternoon and agreed to a revised text on force majeure now known as disturbances, with a few issues outstanding.
Delegates also addressed text on harvested wood products (HWP).
A developing country proposed a definition of forests, but parties did not agree to include it.
The revised Chapter II text will be made available on Friday morning for consideration by parties.
A sense of urgency prevailed on Thursday, with only two days remaining before the end of the session.
With the focus on Durban, many informal groups rushed to conclude their work.
The informal group on adaptation held marathon drafting sessions throughout the day, and were reportedly moving forward in a harmonious atmosphere.
One negotiator deeply immersed in the technology group for most of the day said We have made progress and have mandated the Secretariat to develop a paper on criteria intersessionally.
The text as it stands is messy, but at least we have text that is moving forward to Durban.
Other groups had less positive news to report.
In shared vision, for example, views on the scope of the shared vision remained far apart.
One negotiator involved in the discussions said the new shared vision text is messier, more difficult and longer than the previous text, with parties throwing in issues that will never go anywhere.
A third iteration of the text comes out on Friday, and it remains to be seen whether it will actually streamline the submissions by parties or mushroom into an even more unmanageable text, in the words of another negotiator.
Many delegates in the corridors expressed satisfaction with the shift in discussions in the finance group.
Delegates finally agreed to consolidate parties submissions on long-term finance, said a smiley negotiator.
Let s hope this spirit prevails during the closing plenary tomorrow.
During the morning informal group meeting, delegates considered a revised text.
Delegates discussed the status of the paper, with many reiterating that it was still a facilitator s text, including consolidated views of parties, and not a draft decision text that could be used as the basis for negotiation in Durban.
Some delegates expressed concern that their submissions were not well reflected in the new text.
A number of delegates noted that the text was getting longer and needed to be streamlined.
One developing country stressed the importance of leaving Panama with a text that is ready for negotiation in Durban.
She supported another meeting of the informal group, and a revised version of the text.
Informal-informals took place in the afternoon.
Parties reviewed a note by the facilitator containing a summary of discussions and issues.
The main questions summarized in the note include: whether discussions should continueunder the AWG-LCA and the objective of such discussions; whether the draft text should be used as a basis for negotiation; and whether the group has a mandate to discuss trade .
Parties spent the rest of the meeting discussing the note and how to proceed.
Argentina, for the G77/CHINA, supported by INDIA and Sierra Leone, for the AFRICAN GROUP, expressed reservations with the facilitator s note.
Many developing countries stated that their views had not been reflected in the note.
CANADA and AUSTRALIA welcomed the summary note as a starting effort to capture progress.
On the way forward, INDIA suggested that all submissions be included in an options paper.
In the afternoon, parties discussed a non-paper on the Review, which included: further definition of scope, modalities, and appropriate action by the COP.
ANTIGUA AND BARBUDA, supported by MEXICO, NORWAY, and GRENADA, expressed support for the non-paper as a good basis for discussion; INDIA and SAUDI ARABIA noted that outstanding work remains before the paper can be used a basis for negotiation.
JAPAN, supported by SWITZERLAND, pointed to duplication in the text on inputs.
Parties agreed that Facilitator Mukahanana-Sangarwe would capture suggestions in an updated version of the non-paper for Friday, which will be carried over to Durban as a non-paper.
Discussions on the afternoon informal group centered on long-term finance.
A group of developed countries introduced their submission on long-term finance, reflecting key issues for discussion.
Parties then provided comments on the text and several developing country parties requested that the submission be consolidated with previous submissions on long-term finance.
Several developed countries noted their intention to submit proposals.
A consolidated text on long-term finance will be prepared.
Parties then considered the consolidated draft text on the Standing Committee.
Parties met in the informal group in the morning.
They addressed REDD+ financing, including possible sources.
Many pointed to the need to ensure consideration of biodiversity and social co-benefits.
Some emphasized that the sources of finance for REDD+ should be primarily public, while others highlighted that they should be private and based on market mechanisms.
One party said sources should be channeled through existing financial mechanisms.
On the way forward, a group of parties suggested inviting submissions from parties in order to prepare a compilation paper as a basis for discussions in Durban.
A non-paper on REDD+ finance will be prepared by the facilitator and discussions will continue.
The informal group met in the morning and afternoon.
Delegates discussed a co-facilitators summary of the discussions on matters relating to the level of ambition (paragraphs 36-38 of decision 1/CP.16).
Many parties welcomed the text, with some pointing to missing elements.
Some developed countries requested a common space to discuss the level of ambition, which many developing countries opposed, underscoring the different nature and content of the provisions on the level of ambition for developed countries and the provisions on NAMAs for developing countries (paragraphs 48-51 of decision 1/CP.16).
Many developing countries underscored that HFCs and international aviation and maritime emissions are being addressed under other fora and should not be included in discussions on level of ambition.
Some developed countries supported including parties views in a template to clarify the information on pledges and opposed holding additional workshops.
The group met again in the afternoon to discuss the way forward.
Drawing attention to difficulties on making progress on long-term finance issues, a group of developing countries said they expected all areas of negotiations to make progress by moving text forward to Durban in a balanced manner.
Delegates discussed a revised menu of legal options.
Regarding a COP decision on a mandate to conclude an LBI with a clear roadmap, the EU proposed six elements that should be included in such a mandate, including a clear end date for negotiations.
AOSIS discussed its proposal for possible elements for an LBI.
Many delegates supported a mandate from Durban to conclude an LBI.
One developing country said the Cancun mandate was to discuss legal options and not to discuss a mandate to conclude an LBI.
A number of delegates reiterated that it was premature to discuss the legal form of the agreed outcome, lamenting this sentiment was not reflected in the new text.
The Gambia, for the LDCs, stressed that the mandate must be based on the Bali building blocks, and said any political statement or declaration that leaves open the legal form is unacceptable.
The MARSHALL ISLANDS said a discussion on legal options cannot take place without hearing views on how we would actually get there, and stressed flexibility to allow for scaling up of ambition over time.
The US said the list of options provides a reasonable reflection of multiple ideas that could be taken forward.
The group agreed to continue discussions on this issue.
In the afternoon spin-off group, parties discussed submissions and proposed amendments to the Chair s revised text (FCCC/KP/AWG/2011/CRP.1).
One party submission addressed the carry-over of surplus AAUs from the first to the second commitment period, and proposed that, inter alia: carry-over be limited to 1% of each party s AAUs for the first commitment period; parties have the option to sell the carried-over amount, with 50% of the revenue transferred to the Adaptation Fund and 50% used for domestic mitigation.
Another submission introduced a REDD+ mechanism to assist Annex I parties in achieving compliance with their quantified emission limitation and reduction commitments under the Protocol.
One party proposed reducing the amount of AAUs that can be carried over in a second commitment period.
Differing views were also exchanged on the share of proceeds.
The final spin-off group on Chapter I concluded, with the facilitator agreeing to compile parties views, which will be sent to the chair of the AWG-KP.


zebra_puzzles
Learn how to solve zebra puzzles using induktion and deduktion with Prolog .
files
src/
├── parts
│ ├── five.prolog
│ ├── five.prolog.demo
│ ├── four.prolog
│ ├── four.prolog.demo
│ ├── one.prolog
│ ├── one.prolog.demo
│ ├── three.prolog
│ ├── three.prolog.demo
│ ├── two.prolog
│ └── two.prolog.demo
└── suite.prolog
tests/
├── parts
│ ├── five.prolog
│ ├── four.prolog
│ ├── one.prolog
│ ├── three.prolog
│ └── two.prolog
└── suite.prolog
imports/
└── zebra_1984.prolog
2 directories, 18 files
puzzle one
question
-
There are three houses in three different positions .
-
Each house has an occupant that lives alone .
-
Each house has an different color .
-
The color is either
blue
orred
orwhite
. -
Each occupant has an unique nationality .
-
The nationality is either
italian
ornorwegian
orpalestinian
.
house #1 |
house #2 |
house #3 |
|
position |
1 |
2 |
3 |
color |
? |
? |
? |
nationality |
? |
? |
? |
-
The person with
palestinian
nationality lives in an position one greater than the position of the house with colorred
. -
The person with
norwegian
nationality lives in the house with colorblue
. -
The person with
italian
nationality lives in the house at position2
.
answer
./src/parts/one.prolog
:- module(one,[]) .
:- [library(lists)] .
:- op(1,'xfy','contains') .
puzzle(HOUSEs)
:-
induktion(HOUSEs) ,
deduktion(HOUSEs)
.
induktion(HOUSEs)
:-
there_are_three_houses(HOUSEs) ,
the_set_of_positions_is_known(HOUSEs) ,
the_set_of_colors_is_known(HOUSEs) ,
the_set_of_nationalities_is_known(HOUSEs)
.
deduktion(HOUSEs)
:-
the_palestinian_lives_right_of_the_red_house(HOUSEs) ,
the_norwegian_lives_in_an_blue_house(HOUSEs) ,
the_italian_lives_in_position_two(HOUSEs)
.
there_are_three_houses(HOUSEs)
:-
length(HOUSEs,3)
.
the_set_of_positions_is_known(HOUSEs)
:-
lists:nth1(1,HOUSEs,{position:1,color:_,nationality:_}) ,
lists:nth1(2,HOUSEs,{position:2,color:_,nationality:_}) ,
lists:nth1(3,HOUSEs,{position:3,color:_,nationality:_})
.
the_set_of_colors_is_known(HOUSEs)
:-
HOUSEs contains {position:_,color:'blue',nationality:_} ,
HOUSEs contains {position:_,color:'red',nationality:_} ,
HOUSEs contains {position:_,color:'white',nationality:_}
.
the_set_of_nationalities_is_known(HOUSEs)
:-
HOUSEs contains {position:_,color:_,nationality:'italian'} ,
HOUSEs contains {position:_,color:_,nationality:'norwegian'} ,
HOUSEs contains {position:_,color:_,nationality:'palestinian'}
.
the_palestinian_lives_right_of_the_red_house(HOUSEs)
:-
HOUSEs contains {position:POSITION_PALESTINIAN,color:_,nationality:'palestinian'} ,
HOUSEs contains {position:POSITION_RED,color:'red',nationality:_} ,
POSITION_PALESTINIAN is POSITION_RED + 1
.
the_norwegian_lives_in_an_blue_house(HOUSEs)
:-
HOUSEs contains {position:_,color:'blue',nationality:'norwegian'}
.
the_italian_lives_in_position_two(HOUSEs)
:-
HOUSEs contains {position:2,color:_,nationality:'italian'}
.
HOUSEs contains HOUSE
:-
lists:member(HOUSE,HOUSEs)
.
There is 1 definitive solution to the puzzle .
./src/parts/one.prolog.demo
/*
?- one:puzzle(HOUSEs) .
HOUSEs = [{position:1,color:blue,nationality:norwegian},{position:2,color:red,nationality:italian},{position:3,color:white,nationality:palestinian}] ;
false .
*/
tests
./tests/parts/one.prolog
:- begin_tests(one) .
test('1',[ACTUAL == EXPECT])
:-
prolog:bagof(HOUSEs,one:puzzle(HOUSEs),HOUSEss) ,
ACTUAL = HOUSEss ,
EXPECT =
[
[{position:1,color:blue,nationality:norwegian},{position:2,color:red,nationality:italian},{position:3,color:white,nationality:palestinian}]
]
.
:- end_tests(one) .
puzzle two
question
-
There are three houses in three different positions .
-
Each house has an occupant that lives alone .
-
Each house has a different color .
-
Each house has an color that is either
blue
orgreen
orred
. -
Each occupant has unique nationality of either
brazilian
orgerman
orchinese
. -
Each occupant has an different pet .
-
The pet is either an
dog
or anfish
or ancat
. -
Every occupant plays an different sport .
-
The sport is either
basketball
orsoccer
orlacrosse
.
house #1 |
house #2 |
house #3 |
|
position |
1 |
2 |
3 |
color |
? |
? |
? |
nationality |
? |
? |
? |
pet |
? |
? |
? |
sport |
? |
? |
? |
-
The occupant with
brazilian
nationality does not live at position2
. -
The occupant with the
dog
as pet plays the sport ofbasketball
. -
In position
2
the occupant plays the sport oflacrosse
. -
The occupant with the pet
fish
lives at one position less than the occupant with the petcat
, -
The occupant with the pet
dog
lives at one position greater than thegreen
house . -
The house with
red
color is not beside the house withblue
color . -
The pet
fish
is not in the house with the color `red_ .
answer
./src/parts/two.prolog
:- module(two,[]) .
:- [library(lists)] .
:- op(1,'xfy','contains') .
puzzle(HOUSEs)
:-
induktion(HOUSEs) ,
deduktion(HOUSEs)
.
induktion(HOUSEs)
:-
there_are_three_houses(HOUSEs) ,
the_set_of_positions_is_known(HOUSEs) ,
the_set_of_colors_is_known(HOUSEs) ,
the_set_of_nationalities_is_known(HOUSEs) ,
the_set_of_pets_is_known(HOUSEs) ,
the_set_of_sports_is_known(HOUSEs)
.
deduktion(HOUSEs)
:-
the_brazilian_is_not_at_position_two(HOUSEs) ,
the_occupant_with_the_pet_dog_plays_sport_basketball(HOUSEs) ,
the_occupant_at_position_two_plays_lacrosse(HOUSEs) ,
the_occupant_with_pet_fish_lives_left_of_occupant_with_pet_cat(HOUSEs) ,
the_occupant_with_pet_dog_lives_right_of_green_house(HOUSEs) ,
the_red_house_is_not_beside_the_blue_house(HOUSEs) ,
the_pet_fish_is_not_in_the_red_house(HOUSEs)
.
there_are_three_houses(HOUSEs)
:-
length(HOUSEs,3)
.
the_set_of_positions_is_known(HOUSEs)
:-
lists:nth1(1,HOUSEs,{position:1,color:_,nationality:_,pet:_,sport:_}) ,
lists:nth1(2,HOUSEs,{position:2,color:_,nationality:_,pet:_,sport:_}) ,
lists:nth1(3,HOUSEs,{position:3,color:_,nationality:_,pet:_,sport:_})
.
the_set_of_colors_is_known(HOUSEs)
:-
HOUSEs contains {position:_,color:'blue',nationality:_,pet:_,sport:_} ,
HOUSEs contains {position:_,color:'green',nationality:_,pet:_,sport:_} ,
HOUSEs contains {position:_,color:'red',nationality:_,pet:_,sport:_}
.
the_set_of_nationalities_is_known(HOUSEs)
:-
HOUSEs contains {position:_,color:_,nationality:'brazilian',pet:_,sport:_} ,
HOUSEs contains {position:_,color:_,nationality:'german',pet:_,sport:_} ,
HOUSEs contains {position:_,color:_,nationality:'chinese',pet:_,sport:_}
.
the_set_of_pets_is_known(HOUSEs)
:-
HOUSEs contains {position:_,color:_,nationality:_,pet:'dog',sport:_} ,
HOUSEs contains {position:_,color:_,nationality:_,pet:'fish',sport:_} ,
HOUSEs contains {position:_,color:_,nationality:_,pet:'cat',sport:_}
.
the_set_of_sports_is_known(HOUSEs)
:-
HOUSEs contains {position:_,color:_,nationality:_,pet:_,sport:'basketball'} ,
HOUSEs contains {position:_,color:_,nationality:_,pet:_,sport:'soccer'} ,
HOUSEs contains {position:_,color:_,nationality:_,pet:_,sport:'lacrosse'}
.
the_brazilian_is_not_at_position_two(HOUSEs)
:-
+ HOUSEs contains {position:2,color:_,nationality:'brazilian',pet:_,sport:_}
.
the_occupant_with_the_pet_dog_plays_sport_basketball(HOUSEs)
:-
HOUSEs contains {position:_,color:_,nationality:_,pet:'dog',sport:'basketball'}
.
the_occupant_at_position_two_plays_lacrosse(HOUSEs)
:-
HOUSEs contains {position:2,color:_,nationality:_,pet:_,sport:'lacrosse'}
.
the_occupant_with_pet_fish_lives_left_of_occupant_with_pet_cat(HOUSEs)
:-
HOUSEs contains {position:POSITION_FISH,color:_,nationality:_,pet:'fish',sport:_} ,
HOUSEs contains {position:POSITION_CAT,color:_,nationality:_,pet:'cat',sport:_} ,
POSITION_FISH is POSITION_CAT - 1
.
the_occupant_with_pet_dog_lives_right_of_green_house(HOUSEs)
:-
HOUSEs contains {position:POSITION_DOG,color:_,nationality:_,pet:'dog',sport:_} ,
HOUSEs contains {position:POSITION_GREEN,color:'green',nationality:_,pet:_,sport:_} ,
POSITION_DOG is POSITION_GREEN + 1
.
the_occupant_in_position_three_has_nationality_german(HOUSEs)
:-
HOUSEs contains {position:3,color:_,nationality:'german',pet:_,sport:_}
.
the_red_house_is_not_beside_the_blue_house(HOUSEs)
:-
HOUSEs contains {position:POSITION_RED,color:'red',nationality:_,pet:_,sport:_} ,
HOUSEs contains {position:POSITION_BLUE,color:'blue',nationality:_,pet:_,sport:_} ,
DISTANCE is abs(POSITION_BLUE - POSITION_RED) ,
DISTANCE > 1
.
the_pet_fish_is_not_in_the_red_house(HOUSEs)
:-
+ HOUSEs contains {position:_,color:'red',nationality:_,pet:'fish',sport:_}
.
HOUSEs contains HOUSE
:-
lists:member(HOUSE,HOUSEs)
.
There 4 valid solutions to this puzzle .
./src/parts/two.prolog.demo
/*
?- two:puzzle(HOUSEs) .
HOUSEs = [{position:1, color:blue, nationality:brazilian, pet:fish, sport:soccer}, {position:2, color:green, nationality:german, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:chinese, pet:dog, sport:basketball}] ;
HOUSEs = [{position:1, color:blue, nationality:brazilian, pet:fish, sport:soccer}, {position:2, color:green, nationality:chinese, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:german, pet:dog, sport:basketball}] ;
HOUSEs = [{position:1, color:blue, nationality:german, pet:fish, sport:soccer}, {position:2, color:green, nationality:chinese, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:brazilian, pet:dog, sport:basketball}] ;
HOUSEs = [{position:1, color:blue, nationality:chinese, pet:fish, sport:soccer}, {position:2, color:green, nationality:german, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:brazilian, pet:dog, sport:basketball}] ;
false .
*/
tests
./tests/parts/two.prolog
:- begin_tests(two) .
test('1',[ACTUAL == EXPECT])
:-
prolog:bagof(HOUSEs,two:puzzle(HOUSEs),HOUSEss) ,
ACTUAL = HOUSEss ,
EXPECT =
[
[{position:1, color:blue, nationality:brazilian, pet:fish, sport:soccer}, {position:2, color:green, nationality:german, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:chinese, pet:dog, sport:basketball}] ,
[{position:1, color:blue, nationality:brazilian, pet:fish, sport:soccer}, {position:2, color:green, nationality:chinese, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:german, pet:dog, sport:basketball}] ,
[{position:1, color:blue, nationality:german, pet:fish, sport:soccer}, {position:2, color:green, nationality:chinese, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:brazilian, pet:dog, sport:basketball}] ,
[{position:1, color:blue, nationality:chinese, pet:fish, sport:soccer}, {position:2, color:green, nationality:german, pet:cat, sport:lacrosse}, {position:3, color:red, nationality:brazilian, pet:dog, sport:basketball}]
]
.
:- end_tests(two) .
homework
Add one or more rules to this example so that there is one defininitive solution . Update the testing to accurately reflect the new result .
puzzle three
-
The police are trying to capture the gang of three culprits who have been stealing pumpkins .
-
The first culprit is known by name
Angela
. -
The second culprit is known by name
Mary
. -
The third culprit is known by name
David
. -
One of the culprits has age of
5
; one has age of7
; one has age of8
. -
One has the last name
Diamond
. -
The one with the last name
Grant
is of an age three years older than the age of the one with the last nameLeung
.
culprit #1 |
culprit #2 |
culprit #3 |
|
age |
? |
? |
? |
first_name |
? |
? |
? |
last_name |
? |
? |
? |
answer
./src/parts/three.prolog
:- module(three,[]) .
:- [library(lists)] .
:- op(1,'xfy','contains') .
puzzle(CULPRITs)
:-
induktion(CULPRITs) ,
deduktion(CULPRITs)
.
induktion(CULPRITs)
:-
there_are_three_culprits(CULPRITs) ,
the_set_of_last_names_is_known(CULPRITs) ,
the_set_of_ages_is_known(CULPRITs)
.
deduktion(CULPRITs)
:-
one_is_three_years_older(CULPRITs)
.
there_are_three_culprits(CULPRITs)
:-
length(CULPRITs,3) ,
lists:nth1(1,CULPRITs,{position:1,first_name:'Angela',last_name:_,age:_}) ,
lists:nth1(2,CULPRITs,{position:2,first_name:'Mary',last_name:_,age:_}) ,
lists:nth1(3,CULPRITs,{position:3,first_name:'David',last_name:_,age:_})
.
the_set_of_last_names_is_known(CULPRITs)
:-
CULPRITs contains {position:_,first_name:_,last_name:'Diamond',age:_} ,
CULPRITs contains {position:_,first_name:_,last_name:'Grant',age:_} ,
CULPRITs contains {position:_,first_name:_,last_name:'Leung',age:_}
.
the_set_of_ages_is_known(CULPRITs)
:-
CULPRITs contains {position:_,first_name:_,last_name:_,age:5} ,
CULPRITs contains {position:_,first_name:_,last_name:_,age:7} ,
CULPRITs contains {position:_,first_name:_,last_name:_,age:8}
.
one_is_three_years_older(CULPRITs)
:-
CULPRITs contains {position:_,first_name:_,last_name:'Grant',age:AGE_GRANT} ,
CULPRITs contains {position:_,first_name:_,last_name:'Leung',age:AGE_LEUNG} ,
AGE_GRANT is AGE_LEUNG + 3
.
CULPRITs contains CULPRIT
:-
lists:member(CULPRIT,CULPRITs)
.
There is not an definitive answer to this puzzle . With the given clues there are still 6 possible solutions .
./src/parts/three.prolog.demo
/*
?- three:puzzle(CULPRITs) .
CULPRITs = [{position:1,first_name:'Angela',last_name:'Diamond',age:7},{position:2,first_name:'Mary',last_name:'Grant',age:8},{position:3,first_name:'David',last_name:'Leung',age:5}] ;
CULPRITs = [{position:1,first_name:'Angela',last_name:'Diamond',age:7},{position:2,first_name:'Mary',last_name:'Leung',age:5},{position:3,first_name:'David',last_name:'Grant',age:8}] ;
CULPRITs = [{position:1,first_name:'Angela',last_name:'Grant',age:8},{position:2,first_name:'Mary',last_name:'Diamond',age:7},{position:3,first_name:'David',last_name:'Leung',age:5}] ;
CULPRITs = [{position:1,first_name:'Angela',last_name:'Leung',age:5},{position:2,first_name:'Mary',last_name:'Diamond',age:7},{position:3,first_name:'David',last_name:'Grant',age:8}] ;
CULPRITs = [{position:1,first_name:'Angela',last_name:'Grant',age:8},{position:2,first_name:'Mary',last_name:'Leung',age:5},{position:3,first_name:'David',last_name:'Diamond',age:7}] ;
CULPRITs = [{position:1,first_name:'Angela',last_name:'Leung',age:5},{position:2,first_name:'Mary',last_name:'Grant',age:8},{position:3,first_name:'David',last_name:'Diamond',age:7}] ;
false .
*/
tests
./tests/parts/three.prolog
:- begin_tests(three) .
test('1',[ACTUAL == EXPECT])
:-
prolog:bagof(HOUSEs,three:puzzle(HOUSEs),HOUSEss) ,
ACTUAL = HOUSEss ,
EXPECT =
[
[{position:1,first_name:'Angela',last_name:'Diamond',age:7},{position:2,first_name:'Mary',last_name:'Grant',age:8},{position:3,first_name:'David',last_name:'Leung',age:5}] ,
[{position:1,first_name:'Angela',last_name:'Diamond',age:7},{position:2,first_name:'Mary',last_name:'Leung',age:5},{position:3,first_name:'David',last_name:'Grant',age:8}] ,
[{position:1,first_name:'Angela',last_name:'Grant',age:8},{position:2,first_name:'Mary',last_name:'Diamond',age:7},{position:3,first_name:'David',last_name:'Leung',age:5}] ,
[{position:1,first_name:'Angela',last_name:'Leung',age:5},{position:2,first_name:'Mary',last_name:'Diamond',age:7},{position:3,first_name:'David',last_name:'Grant',age:8}] ,
[{position:1,first_name:'Angela',last_name:'Grant',age:8},{position:2,first_name:'Mary',last_name:'Leung',age:5},{position:3,first_name:'David',last_name:'Diamond',age:7}] ,
[{position:1,first_name:'Angela',last_name:'Leung',age:5},{position:2,first_name:'Mary',last_name:'Grant',age:8},{position:3,first_name:'David',last_name:'Diamond',age:7}]
]
.
:- end_tests(three) .
puzzle four
question
-
Four boys have decided to watch an movie .
-
Each boy has an position to sit in .
-
Each boy has an name .
-
Each boy has an age .
-
Each boy likes a kind of movie .
-
Each boy will eat an snack .
-
Each boy has an color of shirt .
boy #1 |
boy #2 |
boy #3 |
boy #4 |
|
position |
1 |
2 |
3 |
4 |
name |
? |
? |
? |
? |
age |
? |
? |
? |
? |
movie |
? |
? |
? |
? |
snack |
? |
? |
? |
? |
shirt |
? |
? |
? |
? |
-
The boy with name
Joshua
is in left-most position1
or right-most position4
-
The boy with the
black
shirt is somewhere to the left of the boy with the smallest age . -
The boy with name
Joshua
likeshorror
movies . -
The boy with age
14
is at position3
. -
The boy wearing the
red
shirt is in an position right of the boy with age13
and in an position left of the boy likesaction
movies . -
The boy with name
Daniel
likesthriller
movies. -
The boy who is going to snack with
cookies
is in one of the end positions . -
The boy wearing the
black
shirt is exactly to the left of the boy who likesthriller
movies. -
The boy who is going to snack with
crackers
is exactly to the right of the boy who likescomedy
movies . -
The boy wearing the
red
shirt is somewhere to the right of the boy who is going to snack withpopcorn
and somewhere to the left of the boy with nameNicholas
. -
In one of the end positions is the boy who likes
Thriller
movies . -
The boy with name
Nicholas
is somewhere to the right of the boy with nameJoshua
and to the left of the boy with nameDaniel
. -
In the first position is the boy wearing the
green
shirt .
answer
homework
Provide an solution , the demo , and it’s tests for this puzzle in the style of the earlier answers .
Does the puzzle have a definitive answer ? Is the puzzle impossible to solve ?
Be sure to update the testing to accurately reflect the new result .
./src/parts/four.prolog
:- module(four,[]) .
:- [library(lists)] .
:- op(1,'xfy','contains') .
puzzle(CULPRITs)
:-
induktion(CULPRITs) ,
deduktion(CULPRITs)
.
induktion(CULPRITs)
:-
CULPRITs = [] % todo .
.
deduktion(CULPRITs)
:-
CULPRITs = [] % todo .
.
CULPRITs contains CULPRIT
:-
lists:member(CULPRIT,CULPRITs)
.
./src/parts/four.prolog.demo
tests
./tests/parts/four.prolog
:- begin_tests(four) .
test('1',[ACTUAL == EXPECT])
:-
prolog:bagof(HOUSEs,four:puzzle(HOUSEs),HOUSEss) ,
ACTUAL = HOUSEss ,
EXPECT =
[
[]
]
.
:- end_tests(four) .
puzzle five
The classic zebra puzzle
question
There are 5 houses, occupied by politically-incorrect gentlemen of 5 different nationalities, who all have different coloured houses, keep different pets, drink different drinks, and smoke different (now-extinct) brands of cigarettes.
-
The nationality of the occupant is one of
english
,spanish
,ukranian
,norwegian
, orjapanese
. -
The color of each house is one of
red
,green
,ivory
,yellow
, orblue
. -
The pet is one of
dog
,snail
,fox
,horse
, orzebra
. -
The drink is one of
coffee
,tea
,milk
,orange juice
, orwater
. -
The smoke is one of
Old Gold
,Kools
,Chesterfields
,Lucky Strikes
, orParliaments
.
house #1 |
house #2 |
house #3 |
house #4 |
house #5 |
|
position |
1 |
2 |
3 |
4 |
5 |
color |
? |
? |
? |
? |
? |
nationality |
? |
? |
? |
? |
? |
pet |
? |
? |
? |
? |
? |
drinks |
? |
? |
? |
? |
? |
smokes |
? |
? |
? |
? |
? |
-
The occupant with
english
nationality lives in thered
house . -
The occupant with
spanish
nationality has an petdog
. -
The occupant with the
green
color of house drinkscoffee
. -
The occupant with
ukrainian
nationality drinkstea
. -
The
ivory
colored house is in an position one less than the position of the house with colorgreen
. -
The owner of the pet
snail
smokesOld Gold
. -
The owner of the house with color
yellow
smokesKools
. -
The owner of the house in position
2
drinksmilk
. -
The nationality of the occupant in position
1
isnorwegian
. -
The
Chesterfields
smoker lives next to a house with an petfox
. -
The pet
horse
owner lives in an position next to theKools
smoker . -
The
Lucky Strikes
smoker drinksorange juice
. -
The occupant with nationality
japanese
smokesParliaments
. -
The occupant with nationality
norwegian
lives in an position next to the house with colorblue
.
history
% Prolog program to solve the zebra problem.
% Aug 1984, Dan Sahlin, The Royal Inst. of Techn., Stockholm, Sweden
% (revised October, 1985, P. H. Roosen-Runge)
:- op(100,xfy,on). % a bit of grammar
% Who owns the zebra and who drinks water?
find(ZebraOwner,WaterDrinker) :-
% ************ THE FACTS **************************************
% There are 5 houses, occupied by politically-incorrect
% gentlemen of 5 different nationalities, who all have different
% coloured houses, keep different pets, drink different drinks, and smoke
% different (now-extinct) brands of cigarettes.
makehouses(5, List), %1
% The Englishman lives in a red house.
house( red, englishman, _, _, _) on List, %2
% The Spaniard keeps a dog.
house( _, spaniard, dog, _, _) on List, %3
% The owner of the green house drinks coffee.
house(green, _, _, coffee, _) on List, %4
% The Ukrainian drinks tea.
house( _, ukrainian, _, tea, _) on List, %5
% The ivory house is just to the left of the green house.
sublist2( [house(ivory, _, _, _, _) ,
house(green, _, _, _, _)], List), %6
% The owner of a pet snail smokes Old Gold.
house( _, _,snail, _,old_gold) on List, %7
% The owner of the yellow house smokes Kools.
house(yellow, _, _, _, kools) on List, %8
% The owner of the third house drinks milk.
List = [_, _,
house( _, _, _, milk, _),
_, _], %9
% A Norwegian owns the first house.
List =
[house( _, norwegian, _, _, _) | _], %10
% The Chesterfields smoker lives next to a house with a fox.
nextto(house( _, _, _, _, chesterfields),
house( _, _, fox, _, _), List), %11
% The horse owner lives next to the Kools smoker.
nextto(house( _, _, _, _, kools),
house( _, _,horse, _, _), List), %12
% The Lucky Striker smoker drinks orange juice.
house( _, _, _, orange, lucky_strike) on List, %13
% The Japanese smokes Parliaments.
house( _, japanese, _, _, parliaments ) on List, %14
% The Norwegian lives next to a blue house.
nextto(house( _, norwegian, _, _, _),
house( blue, _, _, _, _), List), %15
house( _, WaterDrinker, _, water, _) on List,
house( _, ZebraOwner,zebra, _, _) on List.
% ********** DEFINITIONS ************************************
makehouses(0,[]).
makehouses(N,[house(_, _, _, _, _)|List])
:- N>0, N1 is N - 1, makehouses(N1,List).
X on List :- member(X, List).
sublist2([S1, S2], [S1, S2 | _]) .
sublist2(S, [_ | T]) :- sublist2(S, T).
nextto(H1, H2, L) :- sublist2([H1, H2], L).
nextto(H1, H2 ,L) :- sublist2([H2, H1], L).
answer
homework
Provide an solution , the demo , and it’s tests for this puzzle in the style of the earlier answers .
Be sure to update the testing to accurately reflect the new result .
This puzzle has an definitive answer.
./src/parts/five.prolog
:- module(five,[]) .
:- [library(lists)] .
:- op(1,'xfy','contains') .
puzzle(CULPRITs)
:-
induktion(CULPRITs) ,
deduktion(CULPRITs)
.
induktion(CULPRITs)
:-
CULPRITs = [] % todo .
.
deduktion(CULPRITs)
:-
CULPRITs = [] % todo .
.
CULPRITs contains CULPRIT
:-
lists:member(CULPRIT,CULPRITs)
.
./src/parts/five.prolog.demo
tests
./tests/parts/five.prolog
:- begin_tests(five) .
test('1',[ACTUAL == EXPECT])
:-
prolog:bagof(HOUSEs,five:puzzle(HOUSEs),HOUSEss) ,
ACTUAL = HOUSEss ,
EXPECT =
[
[]
]
.
:- end_tests(five) .
appendix
authorship
-
(c<EMAIL_ADDRESS>2020-10-23 .


Your task in this exercise is to find the maximum
independent set.
Select the vertices that can form a mximum independent set.
[independentSet_KA.userInput]
if (!independentSet_KA.checkAnswer() && !guess[0])
return ""; // User did not click, and correct answer is not
// initial array state
else return independentSet_KA.checkAnswer();


Recieve cheering notifications whenever your mood goes down!
"Do Not Disturb" mode
Email your mood statistics to your doctor!
Recieve cheering notifications whenever your mood goes down!
"Do Not Disturb" mode
Email your mood statistics to your doctor!


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Campton Place requires a credit card for all dinner reservations. Kindly note that a charge for
cancellations that are made within 48 hours of your reservation will be $100 per person.
Online modifications can be made until 5pm on June 11, 2019. Any modifications or cancellations
after 5pm on June 11, 2019 will require you to contact the restaurant directly and are held to the
restaurant's policy and may be subject to fees.


Danilo Poccia
Danilo works with startups and companies of any size to support their innovation. In his role as Technical Evangelist at Amazon Web Services, he leverages his experience to help people bringing their ideas to life, focusing on event-driven programming and serverless architectures, and on the technical and business impact of machine learning and edge computing.
Talk: Evolutionary Serverless Architectures with Safe Deployments
The term "architecture" applied to software can bring the idea of static, difficult to change, solutions. Unfortunately, that is often the result of a software implementation.
An evolutionary architecture designs for incremental change in an architecture as a first principle, looking at software development over time as an optimization task, using a "fitness function" to estimate the efficiency of a software release.
In this session, we’ll show how to automate a CI/CD pipeline to compute a fitness function during deployment, using a pre-traffic hook Lambda function dynamically analyzing the configuration of the resources implemented via AWS Serverless Application Model (SAM) templates.


Since we already know about actions and other basic things, now we can think about correct memory usage.
To illustrate it we’ll create a simple scene with one sprite and one button. After pressing the button the sprite will out of the scene and then it should be removed somehow.
Actually, there will be few variants of object removal, so we’ll make a menu instead of one button:
Our variants are
removeChild()
is a bit complicated and can be dangerousIn order to ensure that object gets deleted (or not deleted) we’ll create a special subclass of Sprite. It will print debugging messages in constructor and destructor.
Something like this:
class EnhancedSprite : public cocos2d::Sprite {
public:
static EnhancedSprite* create(const std::string& filename);
protected:
EnhancedSprite();
virtual ~EnhancedSprite();
int objectId;
};
static int objectIdGenerator = 0;
EnhancedSprite::EnhancedSprite() {
objectId = objectIdGenerator++;
log("EnchancedSprite constructor here, id %02d", objectId);
}
EnhancedSprite::~EnhancedSprite() {
log("EnchancedSprite destructor here, id %02d", objectId);
}
EnhancedSprite* EnhancedSprite::create(const std::string& filename) {
EnhancedSprite *result = new (std::nothrow) EnhancedSprite();
if (result && result->initWithFile(filename)) {
result->autorelease();
return result;
}
CC_SAFE_DELETE(result);
return nullptr;
}
Here each object an objectId
field with its own unique value. We can use this value to distinguish one object from another. Everything else remains the same as default Sprite.
If you do nothing the objects will remain in memory. However, if you’ll try to close the application you’ll see the destructors called in the end. That’s because the sprites are the children of the scene; when the scene finally gets deleted it will delete all the children. So, strictly speaking this is not a memory loss, but still it’s a bad situation and everybody should avoid it.
The best and most simple way to remove the sprite is to add RemoveSelf to the end of sequence like this:
MoveTo* moveAct = MoveTo::create(5, Vec2(800, 120));
Sequence* seq = Sequence::create(moveAct, RemoveSelf::create(), nullptr);
blueShip->runAction(seq);
This code will move the sprite and later you’ll see that destructor was called.
Also you can use a CallFunc and removeChild()
:
MoveTo* moveAct = MoveTo::create(5, Vec2(800, 120));
Sprite* oldShip = blueShip; //save blueShip pointer because it may get changed by the time
// the ship reaches "out of range: destination
CallFunc* finalCf = CallFunc::create([this, oldShip]() {
log("%s: callback implemented in processMenuRemoveChild: move finished", __func__);
this->removeChild(oldShip);
});
Sequence* seq = Sequence::create(moveAct, finalCf, nullptr);
blueShip->runAction(seq);
This second approach is a bit complicated but still good.
Maybe you want to keep the object and save it into a pool. That’s possible, but requires additional explanations.
Almost all classes in cocos2d-x are subclassed from the Ref class. The framework developers wanted to make something similar to Objective-C memory management. So, each object has following methods:
retain()
increases reference counter, “protects” the object from removalrelease()
decreases reference counter. The object will be removed if the counter gets 0.autorelease()
decreases reference counter, but the counter value will be checked later.So, for every retain()
there should be one and only one release()
or autorelease()
call.
The create()
functions always call autorelease()
for their objects (you can check the implementation in our EnhancedSprite class). That means you can create the object, then do nothing with it and it will be removed automatically.
How does it work? There is a game loop and it does something like this:
So, if the autorelease()
(or removeChild()
) is called then reference counter will be decreased and the object will be deleted after current iteration of the game loop.


| Platform | Contact |
|---|---|
|<EMAIL_ADDRESS>| |
| ccpandhare | |
| +91<PHONE_NUMBER> | |
| Phone | +91<PHONE_NUMBER> |
Birla Institute of Technology and Science, Pilani -- Pilani Campus
B.E. Electrical and Electronics Engineering (Current student)
Year of Graduation : 2020
I am a developer and develop in many languages including, but not limited to JavaScript
, Node.js
, Python
, C/C++
. Most of my experience is in Web Development. I pick up new technologies with ease.
I am currently a GSoC student for the organization PublicLab. My project is to create a system for image manipulation. The repository for the same can be found here. The project is in Node.js
.
I am working on a project for the District Court of Jhunjhunu, Rajasthan. This project aims at reducing corruption and the digitization of file copying system. It involves creating a WebApp. Upon success, the project will be replicated across the state of Rajasthan. The project's backend is written in PHP
.
I am a front-end developer at the Department of Visual Media (DVM) in BITS Pilani. It is responsible for developing Websites, Mobile Applications, Registration Software and Trailers, Teasers, Videos of the fests at BITS Pilani. My major contributions have been to the BOSM Intro Website. This is the link to the Department GitHub organization.
I am a Web Developer for the National Service Scheme, BITS Pilani Chapter.
For a short period of time, i was a member of the Centre for Entrepreneurial leadership n BITS Pilani.


Instructor: TBD
Abstract
Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — bare metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.
This workshop will provide attendees with the knowledge of how to package and run applications with Habitat. At the end of this workshop attendees will understand Habitat's packaging technology, how to package an existing application with Habitat, the benefits of the Habitat studio, how the Habitat supervisor works to provides application focused automation, and how to run applications using Habitat.
Workshop Requires:
Attendees should bring a wifi-enabled laptop to the workshop. The following operating systems have been tested as workstation systems with the hands on exercises:

- Ubuntu 12.04+

- Mac OS X 10.7.3+

- Windows 7+
Other platforms and platform versions may work without modification. Due to time constraints we will not be able to troubleshoot issues with unlisted platforms.
Attendees will be given a remote workstation with all pre-requisites installed. The only thing requiered to access these workstations will be an SSH client (PuTTY on Windows) and familiarity with a interactive text editor (Vi/Vim, Emacs, or Nano).
Attendees working on a Mac or Linux workstation may run all of the labs locally by following the instructions to Get Habitat as listed on the Habitat website.
It's best that students of this class have some familiarity and comfort with the following:

- Writing code (of just about any flavor) in a text editor

- Working on the command line

- Basic system administration – installing packages, configuring those packages, starting service


--- start: 2015-04-01 13:00 edition: 1 participate: "https://kreddy.typeform.com/to/GtJ9tB" talk : agenda: - time: "6:30" title: "Why Geek Night?" speaker: "Mayur Wadhwa" - time: "6:50" title: "CI and CD" subtitle: "Being agile provides various interesting challenges for the teams adopting Agile methodologies. One of the key differentiators of Agile from traditional methodologies is the quick feedback cycle which includes frequent releases which has its own set of considerations. Continuous Integration(CI) and Continuous Delivery(CD) are a set of practices, patterns and tools that will help teams to deal with unique challenges that they face with frequent releases. This talk will concentrate on helping teams to adopt CI/CD and make it an enabler and not be a blocker in their journey to be Agile." speaker: "Garima Sharma & Sreedhar Joshi" image : "sreedhar_and_garima.jpg" - time: "7:20" title: "Break" - time: "7:30" title: "Continuous and Zero downtime deployment" subtitle: "


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Button Maker
Ribbon Rules Generator


Check your answers
Do you owe the money claimed? |
||
|---|---|---|
| Do you owe the money claimed? | {% if data.radio_select_group=="all" %} I admit all of the claim {% elseif data.radio_select_group=="Some" %} I reject part of the claim {% elseif data.radio_select_group=="reject" %} I reject all of the claim {% else %} I admit all of the claim {% endif %} | Change Name |
| Why are you rejecting part of this claim? | {% if data.radio_select_group2=="Some" %} The claim amount is too much {% elseif data.radio_select_group2=="Paid-some" %} I've paid what I believe I owe {% else %} I've paid what I believe I owe {% endif %} | Change Name |
| Why do you reject all the claim? | {% if data.radio_select_group2=="Paid" %} I've already paid the claim in full {% elseif data.radio_select_group2=="defend_now" %} I dispute the claim {% else %} I've already paid the claim in full {% endif %} | Change Name |
Return to task list {% include 'prototypes/prototype-may-2019/includes/contact.html' %}


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The Golden Retriever is a medium-large gun dog that was bred to retrieve shot waterfowl, such as ducks and upland game birds, during hunting and shooting parties. The name "retriever" refers to the breed's ability to retrieve shot game undamaged due to their soft mouth.
Golden retrievers have an instinctive love of water, and are easy to train to basic or advanced obedience standards.


{% include head.html %}
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iOS iphone SDK internationalization
MainWindow.xib
es en fr
To add different language nibs, follow this steps:
- Add the resource file to Xcode:
- Expand your project in the Groups & Files pane.
- Select the Resources folder.
- Choose Project > Add to Project….
- Use the file browser to navigate to the resource, select it, and click Open.
- In the dialog that Xcode displays, select “Copy items into destination group’s folder”, choose one of the “relative” reference styles (for example, “Relative to Project”), and select the desired target. Click Add.
- Select the resource file and open the Inspector window (File > Get Info).
- If the file is not already localizable, click the Make File Localizable button in the General tab of the Inspector window.
- In the General pane again, click the Add Localization button. In the sheet that appears, select or type the locale you want to add. Xcode copies the resource to the other .lproj directory.
If your resource file is a plain text file, you should be sure to set the File Encoding for each localized copy. You can set the default localization of the file before you make the file localizable. You can use different encodings for different localized versions of the file. To set the encoding for a specific localization, choose that localization in the Groups and Files pane and change the setting in the Inspector window. The language identifiers for each localized nib are ISO names, like (es,en, es_es, es_pu, en_us, etc)
Preparing Your Nib Files for Localization
Language and Locale Designations


-
UI/UX Design
An excellent software deserves an outstanding user interface. UI design is a crucial factor in showcasing powerful products. A beautiful UI will ensure a great User Experience.
-
Web Development
The world is changing, Technology is everywhere. With a website, a business will bloom to a bigger audience globally. A website will surely reach to every corner of the globe. You deserve one!


Masonry Bricks, Red Solid 6" Brick
Item Price: $12.00/bag
Quantity: 1,000
Gravel, Gray Natural Stone
Item Price: $86.00/stone
Quantity: 19
Masonry Bricks, Red Solid 6" Brick
Item Price: $12.00/bag
Quantity: 1,000
Gravel, Gray Natural Stone
Item Price: $86.00/stone
Quantity: 19
Masonry Bricks, Red Solid 6" Brick
Item Price: $12.00/bag
Quantity: 1,000
Gravel, Gray Natural Stone
Item Price: $86.00/stone
Quantity: 19
Masonry Bricks, Red Solid 6" Brick
Item Price: $12.00/bag
Quantity: 1,000
Gravel, Gray Natural Stone
Item Price: $86.00/stone
Quantity: 19
{{data}}


| Package | com.developmentarc.core.tasks |
| Class | public class TaskController |
| Inheritance | TaskController flash.events.EventDispatcher |
The TaskController, by default, is not a singleton and the goal of the framework is to allow multiple Task systems to be running in any given application. For example, one task system can be created to manage server requests while another can be used to control internal business operations. To create multiple systems, simply create multiple instances of the TaskController.
To use the TaskController as a singleton, utilize the SingletonFactory utility class within the DevelopmentArc Core library.
The controller starts a set of tasks based on the active task limit set on the controller. By default 2 tasks can be concurrently active within the controller, however this is configurable in the task controller instance. When a task is complete the controller will remove the task from the active list and start the next one in the queue, if any.
The TaskController is also responsible for managing overrides. When a task is added to the controller, the tasks overrides are applied removing any existing tasks from the queue that matches an override. Overrides do pertain to tasks that are currently active, those will be canceled and removed from the queue. Next the task is added to the internal priority queue in the proper order.| Property | Defined by | ||
|---|---|---|---|
| activeTaskLimit : uint
Contains the number of tasks that can be run at the same time.
| TaskController |
| Property | Defined by | ||
|---|---|---|---|
| activeTasks : HashTable
Stores the active Tasks and TaskGroups that are have been started by the controller.
| TaskController | ||
| notReadyQueue : HashTable
Stores ITasks that returned false for the ready value when attempted to be started by the controller.
| TaskController | ||
| taskQueue : PriorityQueue
Stores the current Tasks and TaskGroups within the TaskController.
| TaskController |
| Method | Defined by | ||
|---|---|---|---|
|
Constructor.
| TaskController | ||
|
When an ITask (task, task group, etc.) is ready to be added to the controller this
method is called.
| TaskController |
| Method | Defined by | ||
|---|---|---|---|
|
applyOverrides(newTask:ITask):Boolean
Used to find and remove any tasks in the current queue that are overriden by a new task that has been added to the controller. | TaskController | ||
|
handleTaskEvent(event:TaskEvent):void
Called when a task changes state, such as complete or error.
| TaskController | ||
|
next():void
Checks to see if any task slots are available, if so then the next
task in the queue is added.
| TaskController |
| activeTaskLimit | property |
activeTaskLimit:uint
[read-write]Contains the number of tasks that can be run at the same time. The defaulf value is 2 tasks.
Implementation public function get activeTaskLimit():uint
public function set activeTaskLimit(value:uint):void
| activeTasks | property |
protected var activeTasks:HashTable
Stores the active Tasks and TaskGroups that are have been started by the controller.
| notReadyQueue | property |
protected var notReadyQueue:HashTable
Stores ITasks that returned false for the ready value when attempted to be started by the controller.
| taskQueue | property |
protected var taskQueue:PriorityQueue
Stores the current Tasks and TaskGroups within the TaskController.
| TaskController | () | constructor |
public function TaskController()
Constructor.
| addTask | () | method |
public function addTask(task:ITask):void
When an ITask (task, task group, etc.) is ready to be added to the controller this method is called. addTask() puts the item at the end of the queue and then applies any overrides assigned by the ITask. If the current queue contains overrides then the override conflict logic is applied to determine if the added item is kept and the existing conflicting task is removed or if the existing task is kept and the new one is discarded.
Parameterstask:ITask — The ITask to add to the controller.
|
| applyOverrides | () | method |
protected function applyOverrides(newTask:ITask):Boolean
Used to find and remove any tasks in the current queue that are overriden by a new task that has been added to the controller. This includes those tasks that are active.
If the new task is selfOverriding two scenarios will play out.
newTask:ITask — New Task to be added to queue
|
Boolean — Boolean True if newTasks overrides were processed,otherwise false
|
| handleTaskEvent | () | method |
protected function handleTaskEvent(event:TaskEvent):void
Called when a task changes state, such as complete or error. Handles unregistering event listening, checks to see if the queue was blocked and then calls next() to continue the process.
Parametersevent:TaskEvent — The TaskEvent dispatched from the watched ITask instance.
|
| next | () | method |
protected function next():void
Checks to see if any task slots are available, if so then the next task in the queue is added. This method is called when tasks are added or change state. This method is protected to prevent developers from directly calling next() and instead letting the controller process the queue based on the defined logic.


Simon Bolivar
The Liberator of Great Colombia
A brief history of his life.
-
Prelude, 1807–1810
Bolívar returned to Venezuela in 1807. After a coup on 19 April 1810, Venezuela achieved de facto independence when the Supreme Junta of Caracas was established and the colonial administrators deposed. The Supreme Junta sent a delegation to Great Britain to get British recognition and aid. This delegation presided by Bolívar also included two future Venezuelan notables Andrés Bello and Luis López Méndez. The trio met with Francisco de Miranda and persuaded him to return to his native land.
-
First Republic of Venezuela, 1811–1812
In 1811, a delegation from the Supreme Junta, also including Bolívar, and a crowd of commoners enthusiastically received Miranda in La Guaira.[17] During the insurgence war conducted by Miranda, Bolívar was promoted to colonel and was made commandant of Puerto Cabello the following year, 1812. As Royalist Frigate Captain Domingo de Monteverde was advancing into republican territory from the west, Bolívar lost control of San Felipe Castle along with its ammunition stores on 30 June 1812. Bolívar then retreated to his estate in San Mateo.
-
Second Republic of Venezuela (1813–1814) and exile
This was the beginning of the Admirable Campaign. On 24 May, Bolívar entered Mérida, where he was proclaimed El Libertador ("The Liberator").[20] This was followed by the occupation of Trujillo on 9 June. Six days later, and as a result of Spanish massacres on independence supporters, Bolívar dictated his famous "Decree of War to the Death", allowing the killing of any Spaniard not actively supporting independence. Caracas was retaken on 6 August 1813, and Bolívar was ratified as El Libertador, establishing the Second Republic of Venezuela. The following year, because of the rebellion of José Tomás Boves and the fall of the republic, Bolívar returned to New Granada, where he commanded a force for the United Provinces.
If you have time, you should read more about this incredible human being on his Wikipedia entry


The following is a brief explanation of functions used in our sample implementation, listed in order of appearance. This summary is not exhaustive and may not include all available parameters.
This information was primarily derived from the open-source Mozilla Developer Network (MDN) web docs for WebGLRenderingContext, with some information included from MDN's Document and HTMLCanvasElement documentation pages. For more information and details, visit these sources.
document.querySelector(selectors) - a Document method that accepts as input a DOMString consisting of a valid CSS selector string. returns the first Element object within the document matching the specified selector or group of selectors. If no matches are found, null is returned
canvas.getContext(contextType) - an HTMLCanvasElement method that accepts as input a DOMString consisting of the context identifier defining the drawing context associated to the canvas - in our case we are specifying “webgl”. returns either a drawing context on the canvas. will return null if context identifier is unsupported or canvas has already been set to a different context mode
gl.createShader(type) - a WebGLRenderingContext method accepts input of type gl.VERTEX_SHADER or gl.FRAGMENT_SHADER. returns a modifiable WebGL shader
gl.getShaderParameter(shader, pname) - a WebGLRenderingContext method accepts input specifying the shader and information required. when COMPILE_STATUS is entered as parameter (pname), returns a GLboolean indicating whether or not the last shader compilation was successful
gl.createProgram() - a WebGLRenderingContext method that creates and initializes a WebGLProgram object, linking compiled GLSL vertex shader and GLSL fragment shader into a usable program
gl.AttachShader(program, shader) - a WebGLRenderingContext method that specifies shaders to be included in link operations
gl.LinkProgram(program) - a WebGLRenderingContext method that links the specified program given the vertex shader and fragment shader are declared appropriately and requirements are met
gl.getProgramParameter(program, pname) - a WebGLRenderingContext method accepts input specifying the program and information required. when LINK_STATUS is entered as parameter (pname), returns a GLboolean indicating whether or not the last link operation was successful
gl.createBuffer() - a WebGLRenderingContext method that stores data which might include vertices or colors
gl.bindBuffer(target, buffer) - a WebGLRenderingContext method that specifies a target binding point, such as an ARRAY_BUFFER containing vertex indices, or an ELEMENT_ARRAY_BUFFER containing the indices of elements, that should be bound to a WebGL buffer and will serve to define the behavior of the associated objects
Math.floor() - a built-in Javascript function that returns the largest integer less than or equal to a given number
gl.bufferData(target, size, usage) - a WebGLRenderingContext method that initializes and creates the buffer object's data store where the target binding point may include an ARRAY_BUFFER or ELEMENT_ARRAY_BUFFER, the size is specified in bytes, and usage may include STATIC_DRAW, STREAM_DRAW, or DYNAMIC_DRAW


 Buy the most cheapest products here. Enjoy it.
The best


Trading_GetAccountRequestType Class Reference
| Inherits from | Trading_AbstractRequestType : NSObject |
| Declared in | Trading_GetAccountRequestType.h Trading_GetAccountRequestType.m |
Overview
Returns a seller’s invoice data for their eBay account, including the account's
summary data.
@ingroup EBayAPIInterface
Tasks
-
accountHistorySelection
Specifies the report format in which to return account entries.
property -
invoiceDate
Specifies the month and year of the invoice requested. The report includes
property
only the entries that appear on the seller’s invoice in the specified month
and year. An entry can occur in one month and appear on the next month's
invoice. Used with SpecifiedInvoice reports. -
beginDate
Specifies the beginning of a date range during which a credit or debit
property
occurred. Used when AccountHistorySelection is BetweenSpecifiedDates. Value
must be less than or equal to the value specified in EndDate. The allowed
date formats are YYYY-MM-DD and YYYY-MM-DD HH:mm:ss. You can retrieve
information that is up to 4 months old. -
endDate
Specifies the end of a date range during which a credit or debit occurred.
property
Used when AccountHistorySelection is BetweenSpecifiedDates. Value must be
greater than or equal to the value specified in BeginDate. The allowed date
formats are YYYY-MM-DD and YYYY-MM-DD HH:mm:ss. -
pagination
Controls pagination of the response. For this request, the valid values of
property
Pagination.EntriesPerPage are 0 to 2000, with a default of 500. -
excludeBalance
Specifies whether to calculate balances. Default is false, which calculates
property
balances. The value true means do not calculate balances. If true,
AccountEntry.Balance and AccountSummary.CurrentBalance are never returned
in the response. -
excludeSummary
Specifies whether to return account summary information in an
property
AccountSummary node. Default is true, to return AccountSummary. -
includeConversionRate
Specifies whether to retrieve the rate used for the currency conversion for usage transactions.
property -
accountEntrySortType
Specifies how account entries should be sorted in the response, by an
property
element and then in ascending or descending order. -
currency
Specifies the currency used in the account report. Do not specify Currency
property
in the request unless the following conditions are met. First, the user has
or had multiple accounts under the same UserID. Second, the account
identified in the request uses the currency you specify in the request. An
error is returned if no account is found that uses the currency you specify
in the request. -
itemID
Specifies the item ID for which to return account entries. If ItemID is
property
used, all other filters in the request are ignored. If the specified item
does not exist or if the requesting user is not the seller of the item, an
error is returned.
Properties
accountEntrySortType
Specifies how account entries should be sorted in the response, by an
element and then in ascending or descending order.
@property (nonatomic, retain) NSString *accountEntrySortType
Discussion
Specifies how account entries should be sorted in the response, by an
element and then in ascending or descending order.
type: string constant in Trading_AccountEntrySortTypeCodeType.h
Declared In
Trading_GetAccountRequestType.h
accountHistorySelection
Specifies the report format in which to return account entries.
@property (nonatomic, retain) NSString *accountHistorySelection
Discussion
Specifies the report format in which to return account entries.
type: string constant in Trading_AccountHistorySelectionCodeType.h
Declared In
Trading_GetAccountRequestType.h
beginDate
Specifies the beginning of a date range during which a credit or debit
occurred. Used when AccountHistorySelection is BetweenSpecifiedDates. Value
must be less than or equal to the value specified in EndDate. The allowed
date formats are YYYY-MM-DD and YYYY-MM-DD HH:mm:ss. You can retrieve
information that is up to 4 months old.
@property (nonatomic, retain) NSDate *beginDate
Discussion
Specifies the beginning of a date range during which a credit or debit
occurred. Used when AccountHistorySelection is BetweenSpecifiedDates. Value
must be less than or equal to the value specified in EndDate. The allowed
date formats are YYYY-MM-DD and YYYY-MM-DD HH:mm:ss. You can retrieve
information that is up to 4 months old.
type : NSDate, wrapper for primitive date
Declared In
Trading_GetAccountRequestType.h
currency
Specifies the currency used in the account report. Do not specify Currency
in the request unless the following conditions are met. First, the user has
or had multiple accounts under the same UserID. Second, the account
identified in the request uses the currency you specify in the request. An
error is returned if no account is found that uses the currency you specify
in the request.
@property (nonatomic, retain) NSString *currency
Discussion
Specifies the currency used in the account report. Do not specify Currency
in the request unless the following conditions are met. First, the user has
or had multiple accounts under the same UserID. Second, the account
identified in the request uses the currency you specify in the request. An
error is returned if no account is found that uses the currency you specify
in the request.
type: string constant in Trading_CurrencyCodeType.h
Declared In
Trading_GetAccountRequestType.h
endDate
Specifies the end of a date range during which a credit or debit occurred.
Used when AccountHistorySelection is BetweenSpecifiedDates. Value must be
greater than or equal to the value specified in BeginDate. The allowed date
formats are YYYY-MM-DD and YYYY-MM-DD HH:mm:ss.
@property (nonatomic, retain) NSDate *endDate
Discussion
Specifies the end of a date range during which a credit or debit occurred.
Used when AccountHistorySelection is BetweenSpecifiedDates. Value must be
greater than or equal to the value specified in BeginDate. The allowed date
formats are YYYY-MM-DD and YYYY-MM-DD HH:mm:ss.
type : NSDate, wrapper for primitive date
Declared In
Trading_GetAccountRequestType.h
excludeBalance
Specifies whether to calculate balances. Default is false, which calculates
balances. The value true means do not calculate balances. If true,
AccountEntry.Balance and AccountSummary.CurrentBalance are never returned
in the response.
@property (nonatomic, retain) NSNumber *excludeBalance
Discussion
Specifies whether to calculate balances. Default is false, which calculates
balances. The value true means do not calculate balances. If true,
AccountEntry.Balance and AccountSummary.CurrentBalance are never returned
in the response.
type : NSNumber, wrapper for primitive bool
Declared In
Trading_GetAccountRequestType.h
excludeSummary
Specifies whether to return account summary information in an
AccountSummary node. Default is true, to return AccountSummary.
@property (nonatomic, retain) NSNumber *excludeSummary
Discussion
Specifies whether to return account summary information in an
AccountSummary node. Default is true, to return AccountSummary.
type : NSNumber, wrapper for primitive bool
Declared In
Trading_GetAccountRequestType.h
includeConversionRate
Specifies whether to retrieve the rate used for the currency conversion for usage transactions.
@property (nonatomic, retain) NSNumber *includeConversionRate
Discussion
Specifies whether to retrieve the rate used for the currency conversion for usage transactions.
type : NSNumber, wrapper for primitive bool
Declared In
Trading_GetAccountRequestType.h
invoiceDate
Specifies the month and year of the invoice requested. The report includes
only the entries that appear on the seller’s invoice in the specified month
and year. An entry can occur in one month and appear on the next month's
invoice. Used with SpecifiedInvoice reports.
@property (nonatomic, retain) NSDate *invoiceDate
Discussion
Specifies the month and year of the invoice requested. The report includes
only the entries that appear on the seller’s invoice in the specified month
and year. An entry can occur in one month and appear on the next month's
invoice. Used with SpecifiedInvoice reports.
type : NSDate, wrapper for primitive date
Declared In
Trading_GetAccountRequestType.h
itemID
Specifies the item ID for which to return account entries. If ItemID is
used, all other filters in the request are ignored. If the specified item
does not exist or if the requesting user is not the seller of the item, an
error is returned.
@property (nonatomic, retain) NSString *itemID
Discussion
Specifies the item ID for which to return account entries. If ItemID is
used, all other filters in the request are ignored. If the specified item
does not exist or if the requesting user is not the seller of the item, an
error is returned.
type : NSString, wrapper for primitive string
Declared In
Trading_GetAccountRequestType.h
pagination
Controls pagination of the response. For this request, the valid values of
Pagination.EntriesPerPage are 0 to 2000, with a default of 500.
@property (nonatomic, retain) Trading_PaginationType *pagination
Discussion
Controls pagination of the response. For this request, the valid values of
Pagination.EntriesPerPage are 0 to 2000, with a default of 500.
type : class Trading_PaginationType
Declared In
Trading_GetAccountRequestType.h


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Palakkad, or Palghat, is a city in Kerala, a state in southwestern India. The 18th-century Palakkad Fort has sturdy battlements, a moat and a Hanuman temple on its grounds. North, on the Kalpathy River, the 15th-century Viswanatha Swamy Temple is the main venue of the famous Ratholsavam chariot festival. Northeast, near Malampuzha Dam, the town of Malampuzha has a rock garden created from recycled materials.
Palakkad is the gateway to Kerala due to the presence of the Palakkad Gap in the Western Ghats. Malayalam is the generally spoken language in Palakkad as it is the official language. The district have many small and medium rivers, which are tributaries of the Bharathapuzha River. Of the number of dams in Palakkad district, the largest Malampuzha dam is 12 kilometres (7.5 mi) from Palakkad city
Lying on the foothills of the Silent Valley National Park, located in the Palakkad district of Kerala- is Attappadi. It lies at a distance of 38 kms from Mannarkkad.  It is also a great place to be for those who appreciate wildlife.
Lying on the foothills of the Silent Valley National Park, located in the Palakkad - is Attappadi. It lies at a distance of 38 kms from Mannarkkad.  It is also a great place to be for those who appreciate wildlife.
The Silent Valley National Park, with its lush green forests and beautiful views of the rich flora, is a popular destination for nature and wildlife lovers in Kerala. With its long, detailed history and the unique status of a Rain Forest, this national park is truly a sight to visit.


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Apache Ignite.NET
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Job execution result which gets passed to IComputeTask<TA,T,TR>.OnResult method. More...
Properties | |
| TRes | Data [get] |
| Gets data returned by remote job if it didn't fail. This data is the object returned from IComputeJob<T>.Execute() method. More... | |
| IComputeJob< TRes > | Job [get] |
| Gets local instance of remote job produced this result. More... | |
| Exception | Exception [get] |
Gets exception produced by execution of remote job, or null if no exception was produced. More... | |
| Guid | NodeId [get] |
| ID of the node where actual job execution occurred. More... | |
| bool | Cancelled [get] |
| Whether the job was cancelled. More... | |
|
get |
|
get |
Note that if task is annotated with ComputeTaskNoResultCacheAttribute attribute, then job results will not be cached and will be available only in IComputeTask<TA,T,TR>.OnResult method for every individual job, but not in IComputeTask<A,T,R>.Reduce(IList<IComputeJobResult<T>>) method.
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get |
Exception or null
in case of success.
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get |
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VITask is a platform Built by Developers, For Developers. We have smart students who sweat the details—who start with a blank screen, work until it is ready, and then polish until it is exceptional.


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Hyperbolic Computer Vision
Self-supervised Learning with Micro-Expression
Domain Adaptation


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After several re-branding steps, the xPack project (formerly XCDL), available from GitHub, has a new web site.
The current project repositories are:
Since GitHub Pages is the GitHub solution for providing documentation sites, and this service makes the sites available in the github.io
domain, it was considered acceptable to migrate the MediaWiki sites to GitHub Pages.
GitHub Pages use Jekyll to generate static web sites, and the most convenient input format for Jekyll is markdown, so the migration involved conversion from MediaWiki internal representation, to markdown. Given the differences, this conversion was not easy, and was done partly with scripts, partly manually. Similarly for MediaWiki, although the conversion from the MediaWiki format to markdown was easier. (Note: the migration is still work in progress).
The web site has two dedicated projects:
The first one stores the actual static pages of the Web site and the second stores the Jekyll source files for generating the Web site.
The previous XCDL site is still available from http://xcdl.github.io, but its content is no longer maintained.


We don't process payments. Each user knows his win/loss at the
end of the tournament/match. The actual money transfer should use
some other platform. If you have thoughts on how this can be implemented
easily and avoiding legal headaches, feel free to send us an email -
caulagi AT gmail DOT com


class RubyProf::GraphHtmlPrinter
Generates graph profile reports as html. To use the graph html printer:
result = RubyProf.profile do [code to profile] end printer = RubyProf::GraphHtmlPrinter.new(result) printer.print(STDOUT, :min_percent=>0)
The Graph printer takes the following options in its print methods:
Public Instance Methods
create_link(thread, overall_time, method)
click to toggle source
Creates a link to a method. Note that we do not create links to methods which are under the min_percent specified by the user, since they will not be printed out.
# File lib/ruby-prof/printers/graph_html_printer.rb 35 def create_link(thread, overall_time, method) 36 total_percent = (method.total_time/overall_time) * 100 37 if total_percent < min_percent 38 # Just return name 39 h method.full_name 40 else 41 href = '#' + method_href(thread, method) 42 "#{h method.full_name}" 43 end 44 end
file_link(path, linenum)
click to toggle source
# File lib/ruby-prof/printers/graph_html_printer.rb 50 def file_link(path, linenum) 51 if path.nil? 52 "" 53 else 54 srcfile = File.expand_path(path) 55 "#{linenum}" 56 end 57 end
method_href(thread, method)
click to toggle source
# File lib/ruby-prof/printers/graph_html_printer.rb 46 def method_href(thread, method) 47 h(method.full_name.gsub(/[><#\.\?=:]/,"_") + "_" + thread.fiber_id.to_s) 48 end
print(output = STDOUT, options = {})
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# File lib/ruby-prof/printers/graph_html_printer.rb 26 def print(output = STDOUT, options = {}) 27 setup_options(options) 28 output << @erb.result(binding) 29 end
setup_options(options)
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Calls superclass method
# File lib/ruby-prof/printers/graph_html_printer.rb 21 def setup_options(options) 22 super(options) 23 @erb = ERB.new(self.template) 24 end
template()
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# File lib/ruby-prof/printers/graph_html_printer.rb 59 def template 60 open_asset('graph_printer.html.erb') 61 end


Abstract:
I plot the variables:gender and age groups independently first.Then I try to relate them with the outcome ,and visulizie the relationship between them respectively.Despite the missing data and limitation of resources, I draw a conclusion that there exist a solid connection between age and the recovery rate.But there seem to be no difference beween the gender in front of the covid-19.
Motivation:
Covid-19 has made the world totally different,it destroys many people’s life,make a lot of people unemployed ，many companies to shut down, even deprive of many people’s life.As a student who majors in Statistics in University of Toronto.I always hope I can make some contribution to the fight with covid-19.So I chose the topic :the relationship between gender, age , and the recovery rate of Covid-19 to discuss.
Data
#Interpretation for these data
The variables we focus on are Client Gender
, Outcome
and Age Group
.
By the visdat,we can see there’s no missing data.]
We choose these variables since we want to study the relationship between the gender ,age and the outcome.
We want to find whether client gender and age can affect the recovery rate.Is it true that the young has lower rate of infection and higher rate of recovery than the elder?
We will discuss these problem by investigate the data from opendatatoronto dataset,and all the data about COVID-19 cases in Toronto is released by Toronto Public Health and last refreshed on Sept 23.
## # A tibble: 6 x 3
## `Client Gender` Outcome `Age Group`
## <chr> <chr> <chr>
## 1 FEMALE RESOLVED 50 to 59 Years
## 2 MALE RESOLVED 50 to 59 Years
## 3 FEMALE RESOLVED 20 to 29 Years
## 4 FEMALE RESOLVED 60 to 69 Years
## 5 MALE RESOLVED 60 to 69 Years
## 6 MALE RESOLVED 50 to 59 Years
Data visulizations
Analysis and visulization for the “Client Gender”:
##
## FEMALE MALE OTHER TRANSGENDER UNKNOWN
## 9427 8184 6 5 250
We can see clearly by the table and gg plot that, there are 9427 females and 8141 males who is infected with covid-19 despite the unknown data. As seen in the report“2016 Census: Age and Sex; Type of Dwelling” which is released by Statistics Canada, “In 2016, the ratio of males to females, was 92.6 males for every 100 females.” If we assume there’s no big difference about the gender ratio in these 4 years,we can conclude that the infection rate of female and male is 1.07:1. The infection rate of female is slightly higher than male.
Analysis and visulization for the “Age Group”:
##
## 19 and younger 20 to 29 Years 30 to 39 Years 40 to 49 Years 50 to 59 Years
## 1311 3049 2724 2416 2720
## 60 to 69 Years 70 to 79 Years 80 to 89 Years 90 and older
## 1813 1133 1557 1116
Since we cannot access the precise number for different groups,we cannot draw a solid conclusion here to analyze the infection rate of different ages.
Visulaize the relationship between age and the outcome
Discussion:
As the author of the dataset described,the interpretation of outcome is as follows: “Fatal: Cases with a fatal outcome reported. Resolved: Cases not reported as deceased, and who are either: Reported as ‘recovered’ OR Where the report date is more than 14 days from symptom onset AND the case is not currently hospitalized. This number is underreported due to a lag in data entry. Active: All other cases”
As seen on the plot,we can see an obvious difference between different age groups.There’s a decline on the ration of resolved cases after people reach 60.And for people who is under 60, the death rate is so small that is negligible.But there’s a huge rise of the fatal cases as people reach 60.We can see that,the older of people, the higher posibilty of their illness cannot be recovered.
Discussion
In this graph, we can see despite the the data we cannot track,the resoloved ratio and fatal ratio in female and male is almost the same.We can conclude that in face of covid-19, women and men have the same ability to recover.There’s no difference between the gender.
Conclusion of my analysis
From our analysis, we can conclude that people who are in different ages have the different ability to recover,but as for the gender, there is no difference ,men and women almost have the possibilty to be infected and be cured.The whole human race is a community.To fight with the scaring desease, we have to collabrate with each other.
Weaknesses and next steps
Despite the weakness of the dataset(some data cannot be tracked and recorded which will make our analysis less reliable ),there are some weaknesses in our analysis.
Due to the limitation of time and resources, we cannot access the accurate data of the population in Toronto, we can only use the 2016 cencus report to have a rough estimate. The conclusion we made here are all on the assumption that there’s no big change in population distribution in Toronto.
In the future ,if I can have the accurate data ,I hope I can investigate more about the relationship between Client Gender
, Outcome
and Age Group
. I hope the covid-19 analysis on the gender ,age can help the public have a deeper understanding about the desease, and help the government to implement more appropriate policies to fight it.
There are still interesting variables such as “Source of Infection”,"Neighbourhood Name’ that I do not discuss in this analysis.I hope in the future ,I can deal with them ,and make a far more comprehensive and valuable report.
References
- Sharla Gelfand (2020). opendatatoronto: Access the City of Toronto Open Data Portal. https://sharlagelfand.github.io/opendatatoronto/, https://github.com/sharlagelfand/opendata
- Hadley Wickham, Jim Hester and Winston Chang (2020). devtools: Tools to Make Developing R Packages Easier. https://devtools.r-lib.org/,https://github.com/r-lib/devtools.
- R Core Team (2020). R: A language and environment for statistical computing. R, Foundation for Statistical Computing, Vienna, Austria. URL, https://www.R-project.org/.
- JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang and Richard Iannone (2020). rmarkdown: Dynamic Documents for R. R package version 2.3. URL https://rmarkdown.rstudio.com. -T2016 Census: Age and Sex; Type of Dwelling, Statistics Canada (2017) URL,https://www.toronto.ca/wp-content/uploads/2017/10/96d7-2016-Census-Backgrounder-Age-Sex-Dwelling-Type.pdf