Examinable material for COM2001: Advanced Programming Techniques – James Marshall
This document is intended to cover all the examinable material for the COM2001 second semester exam, as specified in the following table:
Original here: http://staffwww.dcs.shef.ac.uk/people/J.Marshall/apt/assignments/exam_guide.pdf
|
1 |
• How to write evaluation traces for recursive functions |
|
2 |
• How to work with asymptotic complexity notations • Definition of worst-case vs average-case complexity |
|
3 |
• How to design divide-and-conquer algorithms • How to use recurrence trees |
|
4 |
• How to solve arithmetic series • How to solve geometric series • How to analyse algorithms with the Master Theorem |
|
5 |
• Definition of defined and undefined values • How to use proof by induction (standard) • How to use proof by induction (structural) |
|
6 |
• How to use proof by induction (strong) • How to use proof by induction in imperative languages |
|
7 |
• How to work with axiomatic specifications of abstract data types • How to implement abstract data types in Haskell |
|
8 |
• How to show completeness of abstract data type specifications |
|
9 |
• Definition of problems efficiently solvable by dynamic programming |
The evaluation trace of a recursive function is the sequence of steps taken to evaluate a recursive function. At each step, the problem is split into smaller problems of the same type. Evaluating an expression means expanding it into the combination of smaller problems. For example evaluating Fib(4) -> Fib(3) + Fib(2) etc. as in section 3.2.
The Time-Complexity of an algorithm tells us the running time of an algorithm as a function of the input size to the algorithm.
Here are graphs of some possible time complexity functions [1]:
‘Asymptotic’ means the actual running time isn’t necessarily known, but we do know an ‘asymptote’ of the running time. Which means we have an estimation for the running time which gets more accurate/relevant with larger input sizes.
An upper/lower bound gives us a maximum/minimum running time for an algorithm, again only for sufficiently large inputs. For example an algorithm with input size N could - for sufficiently large N - always run faster (i.e. in less time) than 2N. This would be an upper bound of 2N to the time complexity of the algorithm.
When specifying the time complexity of an algorithm, we use Big-O notation (or big-omega, big-theta).
O(log(n)) means log(n) is the asymptotic upper bound for the time complexity of an algorithm with input-size n.
The function on the inside of the big-O notation should only contain the highest order term within the time complexity. For example, rather than writing O(2n + 3) you should write O(n), and rather than writing O(2n2 + 100n + 9) you should write O(n2). Note that we have to remove both lower order terms and any constant multiples of the highest order terms, for example we got rid of + 9, + 100n and the 2 * multiple of n2.
Strictly O(f(n)) refers to a complexity class. This is the set of functions that have f(n) as a valid upper bound. We therefore use set notation to talk about complexities. A good illustration of this is from the mock assignment:
The complexity classes to the left are subsets of the complexity classes to the right, because a larger upper bound is still a valid upper bound to a function that could have a lower one. i.e. f(n) = 2n is a valid upper bound for f(n) = n, which is also a valid upper bound for f(n) = 1. The opposite of this is true if we were talking about lower bounds.
The worst case is simple: it’s the time complexity for the input which takes the longest time. For example for a sorting algorithm taking an input of 1000 integers, it might take no time at all if the list is already sorted. The worst case running time for an input of 1000 integers would be if the integers were ordered such that no other ordering would take a longer time to sort with that algorithm.
The average case is more difficult, as it requires knowledge about the expected input. To work out the average case, work out the time complexity for the different inputs, and average these times while weighting them for their expected probability of occurrence.
A divide and conquer algorithm is one that solves a problem in the following way:
1. Split the problem into a few smaller & simpler sub-problems.
2. Solve each of the sub-problems in turn.
3. Combine the results to find the solution to the original problem.
It is crucial that the sub-problems are in some way easier to solve, otherwise the technique is pointless. For example we can write an algorithm to calculate factorials like follows:
1! = 1
and
N! = (N + 1)! / (N + 1) written in terms of the factorial above
Or
N! = (N – 1)! * N written in terms of the factorial below
They’re both correct, but computing the factorial above is harder than computing the factorial below, so the second algorithm is the only one that would be useful.
If the sub-problems are of exactly the same type as the original problem, then the result will be a recursive algorithm. I.e. an algorithm which is defined in terms of itself.
The above factorial definition only uses one instance of itself in its definition. Iteratively expanding the definition for 5! Would look as follows:
5!
4! * 5
3! * 4 * 5
2! * 3 * 4 * 5
1! * 2 * 3 * 4 * 5
1 * 2 * 3 * 4 * 5
The second classic example of recursion is the Fibonacci sequence:
Fib(N) = Fib(N – 1) + Fib(N – 2)
Fib(1) and Fib(2) = 1
Iteratively expanding Fib(5) would look as follows:
Fib (5)
Fib(4) + Fib(3)
(Fib(3) + Fib(2)) + (Fib(2) + Fib(1))
((Fib(2) + Fib(1)) + 1) + (1 + 1)
((1 + 1) + 1) + (1 + 1)
This is called the recurrence tree. The number of times the tree branches at each node is the number of smaller sub-problems the divide and conquer approach has used, and is the number of recurrences at each stage. Recurrence trees may best be drawn as actual trees with lines connecting successive expansions, as in the following image [2]:
This section explains how to calculate the asymptotic time complexity of recursive algorithms using the “Master Theorem” or summing of finite series.
An Arithmetic sequence is a sequence of numbers where each number is a constant number larger than the previous. For example 2, 5, 8, 11, 14 … each number is +3 larger than the last.
The closed-form solution for summing a finite number of terms in an arithmetic series is:
Where n is the number of terms being added, a1 is the first term and an is the last term. For the sequence 2, 5, 8, 11, 14 the answer would be 5 * (2 + 14) / 2 = 40
A Geometric sequence is a sequence where each term is a constant multiple of the previous, for example 1, 2, 4, 8, 16, 32 … each number is twice as large as the last.
The closed-form solution for summing a finite number of terms in a geometric series is:
Where n is the number of terms, x is the ratio between successive terms, and a1 is the first term. For the sequence 4, 12, 36, 108 the answer would be 4 * (3^4 – 1) / (3 – 1) = 160.
When the running time for an algorithm can be specified as a summation of terms (see 2d and 2e in the mock assignment) the formulas above can be used to find the closed form solution for the time complexity, which can then be simplified into Big-O notation.
The master theorem is a ‘cookbook’ method for finding the time complexity of an algorithm. This means it should be usable without any understanding of why it works.
If a function has time complexity T(n) …
Meaning at each stage, the problem (size n) is split into a parts, each of size n/b which are each solved with a time complexity of T(n/b) and combined with a cost of f(n). So a*T(n/b) is the time taken to solve all the sub-problems, and f(n) is the extra work needed to split the problem down and put the solutions back together.
The diagram below [3] shows a general breakdown of the time complexity of an algorithm given the equation above. There are a couple of important things to note:
1. Each terminating node (leaf) in the recursion tree is completed in constant O(1) time, and there are n^logb(a) of them, meaning the leaves together contribute O(n^logb(a)) time.
2. The summation of all the f(n)’s from the rest of the nodes (down the right hand side of the diagram) add up to make the rest of the formula, as you can see in the bottom right of the diagram.
The Master theorem looks at the values for a, b and f(n) and derives which part of this general equation is the highest order part – i.e. which part is most significant as n becomes large. There are three possibilities:
1. Most of the work is done at the leaves when n is large. This means the algorithm has complexity:
This is always the case if:
Where ε is some positive constant. This means the time complexity of f(n) is polynomially smaller than the time complexity of all the work done at the leaves.
2. The work done at the leaves and at each node have similar time-complexities (i.e. neither the leaves nor nodes completely dominate the running time for sufficiently large n). In this case the time complexity is:
This is always the case if:
This means that f(n) has the same time complexity as the work done at the leaves.
3. The work done at the root dominates as n becomes large. Time complexity is:
This is always the case if both:
and
For some constant c < 1, some positive constant ε and for sufficiently large n. This means two things: That the work done at the nodes will dominate over the work done at the leaves, and that the work done at the root node will dominate over the work done at all the other nodes.
To apply the master theorem, just find values for a, b and f(n) and check which of the conditions hold from 1, 2 or 3. Once you have found this, the time complexity of the algorithm is known. If none of the conditions hold, or the algorithm’s running time can’t be written in terms of a, b and f(n), the master theorem doesn’t apply. See answers to parts 3a – 3i in the mock assessment for examples.
For a recursive Haskell function, the result of calling a function is defined if the recursion will terminate at some point and return a result. The value is undefined if the recursion continues for ever, for example see the recursive definitions of factorial given in 3.2 of this document.
Standard induction proves that some property holds over all the natural numbers. For example if we can prove that P(0) holds, and P(n) => P(n + 1) for all n, we have proved that P(n) holds for all natural numbers n.
Structural induction does the same, but for lists of length n. If we can prove that P( [] ) holds, and P(t) => P(h:t) for all lists t and elements h, we have proved that P(lst) holds for all lists lst.
Proofs using induction (standard and structural) should be formatted as follows:
1. Proof outline: State your proof goal, base case and induction stage clearly in Haskell syntax, labelling them as such.
2. Prove base case: Usually the base case will be the same as the final proof goal, but with some variable substituted with 0 (for standard induction) or [] (for structural induction).
3. Prove the induction case: In this part, you can assume the property holds for n and you must show it holds for n + 1 (or some list x and then h:x for structural induction).
4. State clearly that these three proofs together prove that P(x) holds for all x. QED.
At each stage (1, 2 and 3) the proof is completed by showing that the left and right hand side of the equations are equal by iteratively substituting and manipulating them using the supplied Haskell code. At each substitution, you should label the line with the substitution you’ve used (for example ++.1 or reverse.2).
There is a very thorough and helpful guide on all of this, with lots of examples, in Chapter 8 of Haskell – The craft of functional programming. Available in the IC and St. George’s.
In standard induction, the induction step proves that P(n) implies P(n + 1) for all n. Sometimes assuming P(n) is not enough to prove P(n + 1).
Strong induction assumes P(n) is true along with P(n – 1), P(n – 2) and P of all values between 0 and n. So with strong induction we show that (P(K) for all 0 <= K <= n) implies P(n + 1).
Strong induction, despite its name, is just as powerful as weak induction. There is nothing that can be proven with the strong version that can’t be proven with the weak version. However using strong induction allows for more concise proofs for things like the Fibonacci sequence where the definition of Fib(n) includes Fib(n – 2) and not just Fib(n – 1).
Imperative programs are programs written as a sequence of steps. Most common languages are imperative at their core, i.e. javascript/java/ruby etc. although they may have ‘functional’ type features.
In Marshall’s notes, he gives one example of proving an imperative program correct, and it is proven informally on a pseudo-code implementation of insertion sort. This example is paraphrased from chapter 2 of CLRS.
Proofs that an imperative program works need to show that some invariant holds throughout the running time of the algorithm/loop. The invariant, by the time the loop or program terminates, should be some desirable characteristic, for example that a list is sorted.
Structure your imperative proofs as follows:
1. State the loop invariant: This is some property of the state of the program that you want to remain true throughout its running. This might be given to you in the question.
2. Initialisation: Show that the property is true before the program or loop has started running. This should be trivial; just look at what the invariant applies to at the beginning of the program (maybe an empty list, or the number 0 etc.) and show that it is true.
3. Maintenance: Prove that the contents of the loop will not make the invariant false if it is true at the start of the loop. I.e. true at start => true at end.
4. Termination: State how the loop invariant, which is still true due to the above two conditions, shows your program’s correctness at termination. The example in the notes states that the loop invariant is a sorted sub-list of the input list, which at the point of program termination is the whole input list, now completely sorted.
For a couple more examples of informal proofs of imperative programs, see chapter 2 of CLRS.
Mike Stannet’s notes introduce Floyd–Hoare logic which is a more formal logical system for proving correctness of imperative programs, although this isn’t mentioned in Marshal’s notes. Any question about imperative proof will probably require an informal proof.
Abstract Data Types (ADTs) are a concept in computer science independent of any language. There are no ‘ADT’ keywords or constructs within Haskell. Instead it is said that an ADT (usually some mathematical model of a data structure) can be implemented in Haskell using modules, which are a specific Haskell structure. It is said that Haskell modules allow ADT’s to be built in Haskell.
The characteristic feature of an ADT is that it can (and should) be used without knowledge of its implementation – this is also called information hiding/abstraction, as the information about the ADT’s implementation is hidden/abstracted away from the ADT’s user. Haskell modules allow this.
To start a Haskell module
module ModuleName (MemberOne, MemberTwo, MemberThree)
where -- followed by definitions for each member
When ‘ModuleName’ is imported, we won’t be able to depend on the specific implementation within the module.
For a couple of examples, see Marshall’s Set and Stack modules:
Stack: http://staffwww.dcs.shef.ac.uk/people/J.Marshall/apt/haskell/Stack.hs
Set: http://staffwww.dcs.shef.ac.uk/people/J.Marshall/apt/haskell/Set.hs
An ADT can be specified axiomatically. This specification will be a collection of relationships between functions which need to hold true for any implementation. For example, part of the specification of Marshall’s Stack ADT is:
isEmpty emptyStack == True -- (specIsEmpty.1)
Any Haskell implementation of this Stack ADT must satisfy this condition, and all other axioms.
Remember that these axioms, although they’re written in Haskell syntax, exist outside any Haskell implementation. They’re abstract mathematical descriptions of a data structure that could have many implementations. You may be asked to prove a specific implementation satisfies a certain collection of axioms. Proving this is exactly the same as any other proof of program correctness, so see section 5 of this document.
Completeness, in this context, is a property of the axiomatic specification of an ADT and not the implementation. It is also not a formal property, as an axiomatic specification is only complete relative to an intuitive (i.e. informal) idea of how the ADT should behave. To say that an axiomatic specification is complete is to say that it aligns completely with your intuitive understanding, without the need for any additional axioms.
This means an axiomatic specification can be said to be incomplete if there is a property which cannot be proven/derived from the axioms, but which still should ‘intuitively’ hold.
You will need to use the same methods of proof described in
section 5 to prove that an axiomatic spec is satisfied by a particular
implementation.
A problem is efficiently solvable with dynamic programming if it satisfies the following 2 conditions:
1. Optimal Substructure: Finding the optimal solution to the problem involves finding the optimal solution to some other sub-problems.
2. Overlapping sub-problems: A solution to a sub-problem can be used by multiple other problems, and the sub-problems that need to be solved for a specific problem will share other sub-problems. An example of this is the Fibonacci sequence: Fib(10) = Fib(9) + Fib(8), and the two sub-problems of Fib(9) and Fib(8) overlap because they both require working out Fib(7) etc.
Together, these two conditions allow memoization to be effective. Memoization effectively adds a cache to the function, so it doesn’t solve from scratch a particular sub-problem twice.
Sub-problem graphs are like recurrence trees but with memoization, so no sub-problem is worked out twice from scratch. Compare the following two diagrams for calculating the Fibonacci numbers:
|
Simple recurrence (repeated calculations) [3] |
With dynamic programming (memoization) [4] |
On the left hand side, F(4) is calculated twice, once
on the left and once on the right. On the right hand side (with dynamic
programming) F(4) – or 3 in the diagram – is only calculated once for
all larger Fibonacci numbers. The diagram on the left is a recurrence tree, and
the diagram on the right is a sub-problem graph.
[1] Taken from http://science.slc.edu/~jmarshall/courses/2002/spring/cs50/BigO/ without permission… Yes that course is also taught by a J. Marshall. Shock horror!
[2] Stolen shamelessly from http://blog.marquiswang.com/2010/02/20/fibonacci-functions-and-dynamic-programming/ without permission.
[3] Photo taken by me from Introduction to Algorithms (CLRS), page 77 in 2001 version.
[4] Drawn by me in Paint.NET


<cxxNamespaceMembersDetail> contains links to topics that describe members of a C++ namespace
The <cxxNamespaceMembersDetail> element is a child of the <cxxNamespaceMembers> element. It contains links to topics for members defined in a C++ namespace.
cxxNamespaceMemberClass cxxNamespaceMemberNamespace cxxNamespaceMemberStruct cxxNamespaceMemberUnion
(cxxNamespaceMemberClass or cxxNamespaceMemberStruct or cxxNamespaceMemberUnion or cxxNamespaceMemberNamespace (any number) )


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GYNOL II EXTRA STRENGTH- nonoxynol-9 gel
Caldwell Consumer Health LLC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Nonoxynol-9 (3%) (100 mg per applicatorful)............................................Vaginal Contraceptive
For vaginal use only.
Not for rectal (anal) use.
Sexually transmitted diseases (STDs) alert:
This product does not protect against HIV/AIDS or other STDs and may increase the risk of getting HIV from an infected partner.
 If you do not know if your sex partner is infected, choose another form of birth control.

For maximum protection against unwanted pregnancy, follow the enclosed directions exactly.
Each applicatorful is effective immediately and up to one hour after application.
Insert one applicatorful into the vagina prior to intercourse (see complete, illustrated directions on the package insert).
An additional applicatorful is required prior to each act of intercourse, regardless of time since last application.
When used correctly every time you have sex, latex condoms greatly reduce, but do not eliminate, the risk of catching or spreading HIV, the virus that causes AIDS.
Store at room temperature, 20° - 25° C (68° -77° F). Avoid exposure to extremes of hot or cold.
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GYNOL II
EXTRA STRENGTH nonoxynol gel | ||||||||||||||||||||
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| Labeler - Caldwell Consumer Health LLC (828558713) |
| Registrant - Lornamead (126440440) |
| Establishment | |||
| Name | Address | ID/FEI | Business Operations |
|---|---|---|---|
| DPT Laboratories | 832224526 | manufacture(34362-0302), pack(34362-0302) |


EcommCo’s Data Lake leverages Amazon Athena for ad-hoc analyses, data validation and exploration.
The diagram below illustrates how ECommCo uses Athena to query S3 directly.
AWS Glue automaticaly discovered {{ datalake_submissions_database_name }} and {{ curated_datasets_database_name }}. They can be viewed in Amazon Athena console.
Visit Amazon Athena in the AWS Management Console to perform the queries below.
First, select the {{ curated_datasets_database_name }} Database in the dropdown menu.Let's look at number of orders across different customers' regions.
SELECT region, count(*) AS orders_within_region FROM orders_20170601_json o JOIN customers_20170601_json c ON o.customer_id = c.customer_id GROUP BY c.region ORDER BY count(*) desc;
Copy and paste queries into Athena and click “Run query.”
Make sure that {{ curated_datasets_database_name }} Database is selected prior to running query.
Let's look at household income across all states.
SELECT state, cast(avg(household_income) as bigint) as household_income FROM demographics_20170520_json GROUP BY state ORDER BY household_income desc;
Let's see how orders distribute across different product categories.
SELECT p.product_category, count(*) AS number_of_orders FROM orders_20170601_json o join products_20170601_json p on o.sku = p.sku GROUP BY product_category ORDER BY count(*) desc;


Warehouse Keeper Kluck:
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Warehouse Chief Natools
about how you can become a high-level agent.
I was curious about the Sword of Othelotte...
You did well!
Thank you for your help.


A Helpful tool to Explore the Sense of Taste in your Coffee Journey.
Has taken possession of my entire soul, like these sweet mornings of spring which I enjoy with my whole heart. I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine.
I should be incapable of drawing a single stroke at the present moment; and yet I feel that I never was a greater artist than now.
I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents.
I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence, that I neglect my talents.
I throw myself down among the tall grass by the trickling stream; and, as I lie close to the earth, a thousand unknown plants are noticed by me.


This is a test website demonstrating fundamentals of html coding. This will not be used as an actual website.


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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface ValueMaker
Describes a set of strings that are obtained in some way from one or more database columns.
Typical implementations are ColumnValueMaker
(describing the set
of strings contained in one database column), TemplateValueMaker
(describing the set of strings that is obtained by sticking
the values of several database fields into a string pattern),
and BlankNodeIDValueMaker
(similar).
There are several other implementations that modify the behaviour
of another underlying ValueMaker, implementing the Decorator
pattern. This includes TranslationTable
, TranslatingValueMaker
(translates values using a translation table or translation class)
and the various value restrictions (@link RegexRestriction et. al.).
ValueMakers are used by NodeMakers. A node maker wraps the strings into Jena nodes, thus creating a description of a set of RDF nodes.
| Field Summary | |
|---|---|
static ValueMaker |
NULL
A value maker that never produces a value. |
| Method Summary | |
|---|---|
void |
describeSelf(NodeSetFilter c)
|
String |
makeValue(ResultRow row)
Retrieves a value from a database row according to some rule or pattern. |
boolean |
matches(String value)
Indicates whether the node maker is capable of producing a given value, as far as can be told without having access to the actual database. |
List<OrderOp.OrderSpec> |
orderSpecs(boolean ascending)
|
Set<ProjectionSpec> |
projectionSpecs()
Returns a set of all ProjectionSpec s containing data necessary
for this ValueSource. |
ValueMaker |
rename(Renamer renamer)
|
Expression |
valueExpression(String value,
DatabaseOp tabular,
Vendor vendor)
A SQL expression that selects only rows where this value maker produces the specified value. |
| Field Detail |
|---|
static final ValueMaker NULL
| Method Detail |
|---|
boolean matches(String value)
true
iff this node maker is capable of producing the valueExpression valueExpression(String value, DatabaseOp tabular, Vendor vendor)
Expression.FALSE
if this
value maker is incapable of producing the value.
value
- A valuetabular
- The table to which the expression will be applicablevendor
- A vendor instance for datatyping etc.
Set<ProjectionSpec> projectionSpecs()
ProjectionSpec
s containing data necessary
for this ValueSource.
ProjectionSpec
sString makeValue(ResultRow row)
row
- the database row
void describeSelf(NodeSetFilter c)
ValueMaker rename(Renamer renamer)
List<OrderOp.OrderSpec> orderSpecs(boolean ascending)
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
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The SenseHub is a two-chip radio to Internet gateway. It uses the CC1110 to as a radio and microcontroller and the ENC28J60 for ethernet. The pbhub
app support relaying data to/from SenseMotes to Pachube.
Currently, SenseHub is a DIY project. You will need to obtain an XRF CC1110 module from Ciseco (or equivalent) and reflash it with the CCTL bootloader. For this we recommend using either the CC-Debugger or a GoodFET. We hope to start offering pre-flashed modules in future.
You will need to connect up an ENC28J60 module according to the schematic below:
Before building the code, edit config.mk
and replace both --feedid=MYFEEDID
and --apikey=MYPACHUBEAPIKEY
. The feed id is the number of the Pachube feed to use, the API key is a Pachube API key with read/write permissions on that feed.
From the top of the firmware tree type make APP=pbhub install
. You should see the LED flash until a connection is made, then it will stay on.
Take a second XRF and program it with make APP=pbnode install
. The pbnode
app provides a simple command line interface to put, get, sub and unsub. Type help
at the serial console.


dusk.setPreference()
Description
Dusk allows you to use a number of preferences to customize Dusk's behaviour. This function sets the value of a preference.
Please note that many preferences must be set before building a map.
See the List of Preferences to see the available preferences.


QuickConstraint
Extension functions for making layout programmatically easier and faster
Author
License
This repository is under the Apache v2.0 license. Find it here.
Copyright 2020 Paulius Gudonis
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.


Appearance
It differs little from its pre-evolution, mainly only in large size. Its plumage has become larger and more beautiful. The comb of feathers on the head is much longer than that of a pidgeot, and the color is yellow and red. The tail feathers are red. As with previous evolutions, the underbelly is brown in color, and the same black spots around the eyes. The magnificent crest of the pidgeot enthralls anyone who sees it. Beautiful plumage and powerful attacks made pidgeot a favorite of many trainers.


Click inside the box
Move the circle with
easeInOutQuad
easeInOutCubic
easeInOutQuart
easeInOutQuint
effect.


{% extends "global/Page.html" %} {% load otree %} {% block title %} Contribute {% endblock %} {% block content %}
You have {{ player.moneyLeft }} left and there is 8 rounds left.
So far the group has gathered {{ group.total_contribution }} for a target of {{ Constants.target }}


Engineering Team Meeting: Format & Topic Ideas - by Marc G Gauthier. Takeaway: Offers a format, agenda concept, content ideas and several variations on some of the agenda features to make engineering meetings more value-added.
A Field Guide to Dudes Who Ruin Meetings - by Jim Babb. Takeaway: tips on thow to deal with Cool Tool, Mister Details, Professor This-is-Bullshit and other meeting-ruiners.
50+ Free Meeting Agenda Templates - by various authors. Takeaway: Templates for 1:1’s, sprint planning, team meetings, employee onboarding and other types of meetings.
Gossip, Rumors, and Lies - by Michael Lopp. Takeaway: What are the right reasons to have meetings, how to provide important structure, and the importance of settings an agenda.
How I Share Information with My Team - by Mike McGarr. Takeaway: Team meetings aren’t the only way to spread information to the group.
How Do We Build Better Meetings? - by Jen Bunk. Takeaway: Includes the "4 A’s of Awesome Meetings: announce the agenda, attack the agenda benevolently, allow agenda deviations mindfully, and assign next actions.
How to Run a Meeting - by Rands. Takeaway: “A meeting has two critical components: an agenda and a referee … A meeting’s progress is measured by the flow, and the referee’s job is keep it moving along at a good clip, which is why the referee sometimes needs to own it,” or improvise. “If you must meet, start the meeting by remembering the definition of a successful meeting is that when the meeting is done, it need never occur again.”
On Better Meetings - by Lara Hogan. Takeaway: Productive meetings come from doing the right amount of work before, during, and after a meeting.
Plan a Better Meeting with Design Thinking - by Maya Bernstein and Rae Ringel. Takeaway: “Start by putting your own expertise and agenda aside and thinking about the people who will be affected by your meeting. Develop empathy for them by asking three sets of questions: Who is going to be in the room and what are their needs? Who won’t be in the room but will nevertheless be affected by the meeting and what are their needs? In what broader culture and environment are you operating and what are some of the overarching challenges and opportunities?” Then, frame the meeting; design it; and test-drive the plan.
Reaching Peak Meeting Efficiency - by Steve Sinofsky. Takeaway: “This essay does not contain the magical PowerPoint template for how to run an effective meeting, nor does it espouse a system for deciding how, when, or why to meet. I’ve seen every type of agenda, preparation, tracking, issue-list, decision-making tool, template (whether using Word, Excel, Powerpoint, or Outlook). Call me skeptical. In my experience the best tool for meetings is scheduling time to have them in the first place and then to be present. The rest are just distractions to the real goals of sharing, building, deciding.”
Run Your Meetings Like a Boss - by David Fallarme. Takeaway: Make decisions using data, keep meetings to the necessary size, and be prepared with questions and answers to ensure a meeting is productive.
Seven Helpful Tips to Ruin a Meeting – What Not to Do to Run Effective Meetings - by Simon Cockayne. Takeaway: Avoid back-to-back scheduling; unclear purpose; lack of preparation; multitasking; personality-based judging of ideas; running over time; zero followup.
6 Steps to Running the Perfect 30-Minute Meeting - by Jimmy Sjölund. Takeaways: People tend to “default” to 60-minute meetings, but most meetings rarely require this much time. Sjölund offers six suggestions for trimming meetings to a more manageable and appropriate length while simulatenously making them more effective.
Start Every Meeting with a Personal Check-in - by Mathias Meyer. Takeaway: the Travis CI CEO talks about how meditation has enhanced his ability to be present, and how this carries into team meetings. “Before you walk into a meeting (virtually or into the meeting room), close your eyes, inhale three times, and walk in. I found that this can have a great impact on my presence and focus in meetings.” The team starts meetings with the red/yellow/green scale and everyone states how they’re feeling.
Three-Day No-Meeting Schedule for Engineers - by Pinterest Engineering. Takeaway: “Obviously there are trade-offs when making a change like this. However, we [at Pinterest] feel that three focused days with two days of meetings is better than scattered meetings throughout the week. The survey results also indicate that the majority of engineers share that sentiment.”
What I Hear When You Tell Me Your Company Doesn’t Do Meetings - by Johnathan Nightingale. Takeaway: “When you tell me your company doesn’t do meetings, this is what I hear[:] You don’t understand the privilege of executive context … you also undervalue narrative and alignment [and] ou don’t know how to run an effective meeting.” Four questions to ask when planning a meeting: “Who is running this meeting?; What is the output of this meeting?; Who are the right people to produce that output?; How are we going to get to that output?”


Gecko will consider the element  focusable, contrary to the rules for parsing integers.


Set headtracker reference
Reset headtracker changed reference
x=red, Y=green, Z=blue
Bluetooth headtracker from server
Start discover/scan BLE
Stop discover/scan BLE
No BLE port selected
Connect to BLE device
Start HT-track BLE
Stop HT-track BLE
Send calibration
USB Headtracker (
Port:
,
Baud:
)
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No baud selected
300
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Save port & baud
Get avaiable serial i/o
Start HT-track Serial USB
Stop HT-track Serial USB
Headtracking settings and playout
Saved reference:
Save reference
Reset reference
Current ambisonic order:
Toggle ambisonic order
Select a file on your computer
Current time:
(
/
)
Play


Welcome to conversation, your number one source for all services related to health. We're dedicated to give you the very best of services with a focus on your health,mental grooming, expert consultant and many other services.
Our mission is to create a helpful website that sets the standard of excellence in the treatment of specialty behavioral health and addiction disorders. To our clients, we are committed to the creation of chat room where people receive individualized and quality care that enables them to regain hope in a supportive, caring environment. To our customers, we are committed to developing partnerships with physicians, professionals, and payers within the communities we serve through the delivery of high quality specialty behavioral health services at affordable costs while always putting the patient first.
By making a website for the depressed and alcoholic person, we can provide them a platform where they can find some ways by which they can get rid out of depression and alcoholism. On our app, we will provide the name of some good doctors and counsellors with their address and contact number. So that one can contact them and get their help to come out from depression. We will also provide address of some “Rehab Centres” where they can go and try their best to leave alcohol and lead a totally healthy and happy life.


Technology:
Changing Orwell's 1984
from
Dystopia
to
Utopia
to
utopia
TECHNOLOGY
as a means of...
EXPRESSION
COMMUNICATION
Technology in the present:
Elon's goal of going
green


You can use Google colab if unable to run local Jupyter Notebooks.
In cell:
!pip install numpy py-pde tensorflow matplotlib
#Import packagesfrom tensorflow.keras.models import Sequentialfrom tensorflow.keras.layers import Denseimport numpy as npimport matplotlib.pyplot as plt
2023-05-30 15:15:00.295321: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-05-30 15:15:00.481015: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
Learning a simple model
As a quick example, we’ll try to fit a wide, shallow neural network to \(sin(x)\) on \([0, 4\pi]\). We pick a network with a single layer, using ReLU as the activation function. We create a set of sample data \(\overline{X},\overline{Y}\), then try to fit the network \(N(x_i,\beta) \approx y_i\)\[
\beta^* = \text{argmin} \sum (N(x_i;\beta)-y_i)^2
\] From the universal approximation theorem, we know that some network exists which can approximate this curve to any precision, however it’s unclear that the network we discover from our optimization problem will be that network.
# Generate sin dataxmin_s =0xmax_s=4*np.pinx_s =100x_s= np.linspace(xmin_s,xmax_s,nx_s)y_s= np.sin(x_s)# Build a modelmodel_s = Sequential()model_s.add(Dense(700, input_shape=(1,), activation='relu'))model_s.add(Dense(1))model_s.compile(loss ='mae',optimizer ='adam')model_s.fit(x_s,y_s,epochs=10000,batch_size =25, verbose =0)# Make Predictiony_pred_s = model_s.predict(x_s) # Prediction with training datax_test_s = np.linspace(xmin_s,2*xmax_s,4*nx_s)y_test_s = model_s.predict(x_test_s)# Plot Resultsplt.figure(figsize = (12,4))plt.plot(x_test_s,y_test_s)plt.subplot(1,3,1)plt.plot(x_s,y_s)plt.subplot(1,3,2)plt.plot(x_s,y_pred_s)plt.subplot(1,3,3)plt.plot(x_test_s,y_test_s)
We consider a simple 1D transport equation with periodic boundary conditions
\[\begin{cases}
u_t = u_x, \quad (x,t) \in [0,L]\times(0,\infty)
\\
u(x,0) = u_0(x)
\\
u(x,t) = u(x+L,t)
\end{cases}\]
The true solution to this PDE is given by \(u(x,t) = u_0(\text{mod}(x-t,1))\), which can be found using the method of characteristics on the free domain and then truncating to a periodic domain. Though we have access to the true solution, we will generate our training data using a prepackaged numerical PDE solver py-pde. We will use a Gaussian as our initial data \(u_0(x) = e^{-100(x-.3)^2}\) and solve on the domain \([0,1]\).
Note that this isn’t an attempt to solve the PDE using NNs, rather we are just using the PDE data as a specific set of training data.
Arguably the most important part of training a machine learning algorithm is the data. Most prepackaged algorithms expect data to be formatted in a specific way, usually as an array where each column represents different features and each row represents the samples. As it stands, we have our target \(h(x,t)\) data represented as a matrix, and have our \(x,t\) each represented as single arrays. We need create an array of each pair of \(x,t\) data points, and map the \(h(x,t)\) to array of the corresponding values.
We’ll use the Keras package to build our Neural Networks. Keras is an API for building Neural Networks built on tensorflow. We can initialize the network using the Sequential() class, then add layers .add() method for our model. We will use Dense layers, which means that each node takes inputs from all of the other nodes in the previous layer. We can specify the initial input shape in the first layer, and each size and activation function for each layer.
One of the many challenges you face when working with Neural Networks is the wide range of hyper-parameters you need to choose in order to build the network. Some of the more obvious ones are the number of layers, the depth of each layer, and the activation function you use. It’s clear that these can have dramatic effects on the resulting neural network, but even smaller changes can too. In this example, we double the number of epochs that the network is trained on. This tends to result in a lower quality prediction, likely from overfitting to specific training data. There are ways to better chose hyper-parameters and mitigate things like over fitting, but that is beyond the scope of this workshop.


Hadlows Jewellers is a beautifull light and airy boutique that Melanie opened in July 2009. She has worked in South Kensington for 10 years and knows what her clients needs and expectations are and will allways go that extra mile to make them happy.
Hadlows Jewellers is a beautifull light and airy boutique that Melanie opened in July 2009. She has worked in South Kensington for 10 years and knows what her clients needs and expectations are and will allways go that extra mile to make them happy. She also repairs everything from jewellery to silverwear, watches, crystal and glass. Hadlows stocks a wide range of jewellery including 18ct, silver and antique pieces, Faberge eggs and is the only stockist in London of Okra glass. The jewellery is both classic and feminine and if you still cant find just what your looking for then Melanie is happy to create either a totally new bespoke piece or restyle a piece you allready own. Pop in to visit Melanie and pick up a unique piece of jewellery for yourself or as a perfect gift; she will help you find the right piece. And don't forget if you need something fixed, re-strung or need your watch repaired, this is your one-stop shop!
Hadlows Jewellers is an independant retailers situated in South Kensington and is an aladins cave of sparkling wonders and delights. We specialise in beautiful handcrafted unique jewellery supplied in the main by small family run firms with lots of one off pieces. Not only can we make bespoke modern pieces but also help with remodelling old or inherited jewellery to make a more relevant item. With workshops in the heart of Hatton Garden we can take advantage of dealing direct with stone and diamond suppliers giving you excellant value for money. With services including pearl re-threading, repair and restoration work on jewellery, watch and clock repairs, glass and silverwear repair, valuation for insurance and probate, engraving on trophies, glass, leather and complex hand engraved seals we are a one stop shop for all your precious items. Hadlows has a following of sophisticated and discerning clients who know that they will get the service they deserve as well as superb value.
| Monday | 11:00 | - | 18:00 |
| Tuesday | 09:30 | - | 18:00 |
| Wednesday | 09:30 | - | 18:00 |
| Thursday | 09:30 | - | 18:00 |
| Friday | 09:30 | - | 18:00 |
| Saturday | 09:30 | - | 17:00 |


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tech 25 Jul 2014
Sonia Epstein is an interdisciplinary translator focused on the intersection of science and the culture. She has worked on projects such as The Age of Insight
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Class: Aws::KinesisAnalytics::Types::ReferenceDataSourceUpdate
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | (unknown) |
Overview
When passing ReferenceDataSourceUpdate as input to an Aws::Client method, you can use a vanilla Hash:
{
reference_id: "Id", # required
table_name_update: "InAppTableName",
s3_reference_data_source_update: {
bucket_arn_update: "BucketARN",
file_key_update: "FileKey",
reference_role_arn_update: "RoleARN",
},
reference_schema_update: {
record_format: { # required
record_format_type: "JSON", # required, accepts JSON, CSV
mapping_parameters: {
json_mapping_parameters: {
record_row_path: "RecordRowPath", # required
},
csv_mapping_parameters: {
record_row_delimiter: "RecordRowDelimiter", # required
record_column_delimiter: "RecordColumnDelimiter", # required
},
},
},
record_encoding: "RecordEncoding",
record_columns: [ # required
{
name: "RecordColumnName", # required
mapping: "RecordColumnMapping",
sql_type: "RecordColumnSqlType", # required
},
],
},
}
When you update a reference data source configuration for an application, this object provides all the updated values (such as the source bucket name and object key name), the in-application table name that is created, and updated mapping information that maps the data in the Amazon S3 object to the in-application reference table that is created.
Instance Attribute Summary
-
#reference_id ⇒ String
rw
ID of the reference data source being updated.
-
#reference_schema_update ⇒ Types::SourceSchema
rw
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.
. -
#s3_reference_data_source_update ⇒ Types::S3ReferenceDataSourceUpdate
rw
Describes the S3 bucket name, object key name, and IAM role that Amazon Kinesis Analytics can assume to read the Amazon S3 object on your behalf and populate the in-application reference table.
. -
#table_name_update ⇒ String
rw
In-application table name that is created by this update.
.
Instance Attribute Details
#reference_id ⇒ String
(rw)
ID of the reference data source being updated. You can use the DescribeApplication operation to get this value.
#reference_schema_update ⇒ Types::SourceSchema (rw)
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream.
#s3_reference_data_source_update ⇒ Types::S3ReferenceDataSourceUpdate (rw)
Describes the S3 bucket name, object key name, and IAM role that Amazon Kinesis Analytics can assume to read the Amazon S3 object on your behalf and populate the in-application reference table.
#table_name_update ⇒ String
(rw)
In-application table name that is created by this update.


Download iOS 13.2.3 / iPadOS 13.2.3 for iPhone, iPad [Direct Links]
by Uzair GhaniYou can now go ahead and download iOS 13.2.3 / iPadOS 13.2.3 for both iPhone and iPad, respectively. Here's what is new.
Download iOS 13.2.3 / iPadOS 13.2.3 Today with Bug Fixes and Stability Improvements
It's here. A brand new update for both iPhone and iPad users. Dubbed iOS 13.2.3 and iPadOS 13.2.3, this new update is packed with even more fixes. For example, this update fixes an issue with background app refresh that may cause some apps to never ever refresh. If you download iOS 13.2.3 and iPadOS 13.2.3, then that problem shouldn't be a problem anymore.
Turn off Memoji Stickers in iOS 13 / iPadOS 13 on iPhone, iPad
If you rely on searching for stuff inside Mail and Notes, then you will be pleased to learn that Apple has fixed a bug that may cause system search to not work at all inside the aforementioned apps.
Sticking to Mail, iOS 13.2.3 and iPadOS 13.2.3 fixes an issue with Exchange accounts that may fail to have data fetched or even fail to quote the original message. All of that should be fixed now, according to the changelog.
Here's what is new in the update for both iPhone and iPad.
It is highly recommended that you download this update right now if you rely on a stable experience throughout the day. In order to download iOS 13.2.3 or iPadOS 13.2.3 over the air, first of all connect to WiFi, then navigate to Settings > General > Software Update. Tap on Download and Install as soon as the update shows up.
You can perform a clean install of the update if you like. Just download the IPSW file from the links below and restore using Finder or iTunes, simple as that. But please, make sure that you take a backup of everything before going ahead as a clean install will wipe your device clean.
Download iOS 13.2.3 / iPadOS 13.2.3 IPSW File
- iPhone 11 Pro Max, iPhone 11 Pro
- iPhone 11
- iPhone XS Max, iPhone XS
- iPhone XR
- iPhone X
- iPhone 8, iPhone 7
- iPhone 8 Plus, iPhone 7 Plus
- iPhone SE
- iPhone 6s
- iPhone 6s Plus
- iPod touch 7th generation
- 11-inch iPad Pro (1st-generation), 12.9-inch iPad Pro (3rd-generation)
- 10.5-inch iPad Pro (1st-generation), 12.9-inch iPad Pro (2nd-generation)
- iPad 5, iPad 6
- iPad mini 5, iPad Air 3
- 10.2-inch iPad 7
- iPad mini 4, iPad Air 2
- 9.7-inch iPad Pro (1st-generation)
- 12.9-inch iPad Pro (1st-generation)
Last but not least, it's highly recommended to stay away from this update if and only if you rely on jailbreaking using Checkra1n. Once the green light has been given by the devs themselves, only then perform the necessary action. For now, stay away from this update if jailbreaking is your jam. If it's not, then I don't see any point why you should stick to a buggy version of iOS 13.
While you are here, make sure you check out the following:
- Install iOS 13 Final on iPhone Without Losing Files or Settings
- How to Clean Install iOS 13 Final on iPhone [Tutorial]
- iOS 13 Battery Life Saving Tips for iPhone and iPad [Guide]
Products mentioned in this post
The links above are affiliate links. As an Amazon Associate, Wccftech.com may earn from qualifying purchases.


Im So Happy To Play Together
First Five Questions Its YES OR NO Qustions
The Number Sex Question You Must Guess What The Number In My Mind
The Number Seven Question You Must Guess My Favorite Cars
AT The End You Got Your Score ^_^
MY Top Ten Favorite Places :
- Dubai
- France
- London
- Australia
- Rome
- Turkey
- Malaysia
- Thailand
- China
- Mumbai


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When we launched React last spring, we purposefully decided not to call it 1.0. It was production ready, but we had plans to evolve APIs and behavior as we saw how people were using React, both internally and externally. We've learned a lot over the past 9 months and we've thought a lot about what 1.0 will mean for React. A couple weeks ago, I outlined several projects that we have planned to take us to 1.0 and beyond. Today I'm writing a bit more about them to give our users a better insight into our plans.
Our primary goal with 1.0 is to clarify our messaging and converge on an API that is aligned with our goals. In order to do that, we want to clean up bad patterns we've seen in use and really help enable developers write good code.
The first part of this is what we're calling "descriptors". I talked about this briefly in our v0.10 announcements. The goal here is to separate our virtual
DOM representation from our use of it. Simply, this means the return value of a component
(e.g. React.DOM.div()
, MyComponent()
) will be a simple object containing the information
React needs to render. Currently the object returned is actually linked to React's internal representation of the
component and even directly to the DOM element. This has enabled some bad patterns that are quite contrary to how we
want people to use React. That's our failure.
We added some warnings in v0.9 to start migrating some of these bad patterns. With v0.10 we'll catch more. You'll see more on this soon as we expect to ship v0.11 with descriptors.
This is really connected to everything. We want to keep the API as simple as possible and help developers fall into the pit of success. Enabling bad patterns with bad APIs is not success.
Before we even launched React publicly, members of the team were talking about how we could leverage ES6, namely
classes, to improve the experience of creating React components. Calling React.createClass(...)
isn't
great. We don't quite have the right answer here yet, but we're close. We want to make sure we make this as simple
as possible. It could look like this:
There are other features of ES6 we're already using in core. I'm sure we'll see more of that. The jsx
executable we ship with react-tools
already supports transforming many parts of ES6 into code that will
run on older browsers.
While we haven't documented context
, it exists in some form in React already. It exists as a way to pass
values through a tree without having to use props at every single point. We've seen this need crop up time and time
again, so we want to make this as easy as possible. Its use has performance tradeoffs, and there are known
weaknesses in our implementation, so we want to make sure this is a solid feature.
As you may know, we ship a separate build of React with some extra features we called "addons". While this has served us fine, it's not great for our users. It's made testing harder, but also results in more cache misses for people using a CDN. The problem we face is that many of these "addons" need access to parts of React that we don't expose publicly. Our goal is to ship each addon on its own and let each hook into React as needed. This would also allow others to write and distribute "addons".
As much as we'd all like to stop supporting older browsers, it's not always possible. Facebook still supports IE8. While React won't support IE8 forever, our goal is to have 1.0 support IE8. Hopefully we can continue to abstract some of these rough parts.
Finding a way to define animations in a declarative way is a hard problem. We've been exploring the space for a long time. We've introduced some half-measures to alleviate some use cases, but the larger problem remains. While we'd like to make this a part of 1.0, realistically we don't think we'll have a good solution in place.
There are several other things I listed on our projects page that we're tracking. Some of them are internals and have no obvious outward effect (improve tests, repo separation, updated test runner). I encourage you to take a look.


CADRE Academy helps students, faculty and staff at the University of Virginia locate and register for free technology workshops hosted on campus. Anyone can view the site and look up workshops, but you will need a UVA id in order to register.
The two core parts of the CADRE Academy system are workshops and tracks, represented throughout the system by panels in two different styles. Workshop panels are smaller and represent any individual workshop that you can take through the CADRE Academy system. Track panels are larger and represent a set of workshops in a logical group or curriculum.
Workshop panels provide the name of the workshop, the professor teaching it, the next available session of the workshop, and the workshop designation. An icon is added to the workshop panel to indicate which workshops you have registered for and which workshops you have completed.
Tracks use a similar set of marks to help you determine your progress through the track. The overall layout of the track indicates the workshops you should take, and in what order (where applicable), while the individual marks let you know which workshops you have already registered for or completed.


| DOSE: |
2 tablets |
oral |
MDMA |
|
| |
20 mg |
oral |
2C-I |
(powder / crystals) |
I recently went to a music festival and there I thought would be a good time to let go because of spring break and have an even better time at this rave. over the course of 8 hours I had 1 blue dollar (ecstasy) 3 hours into the rave. And then an hour later had a blue crown (ecstacy). Later on I meet some people that were selling 2C-I. I had ever heard of it before. they told me it was a lot like acid, but I had never had that either.
I have done mushrooms twice before which is the only hallucinogen that I have done. I opened the capsule and poured the powder on my tongue to ingest it for faster effects. After 45 minutes I started to have fairly intense hallucinations. I sat on a hill watching the stages in the distance with their lasers and lights. I would see spin offs and flares of fire coming from the lasers. When trying to use my phone the screen looks like water drops were falling on water so I was very difficult to use my phone. When I would be dancing the people's faces around me were constantly changing and it was hard to make out anyone’s face no matter how close they were. Sometimes I would even see extra faces right next to someone as if I was seeing their face in double vision.
I had many different visual hallucinations which were pretty intense but were not scary or disturbing. They were pretty fun hallucinations actually. Sometimes I had to look very hard at my friends faces to see who they were (maybe it was because of the darkness). After dancing I sat back down on the hill and had a thinking session with some of my friends just like someone on acid would have. the mental high go fairly intense after about 5 hours and started to make me fairly paranoid. But the paranoia lasted less then an hour. All in all 2C-I was a good trip.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Markov Decision Process have been extensively studied and form the basis of a wide range of reinforcement learning algorithms.
Imagine you are extremely sleepy early in the morning at work and you need to figure out how to stay awake. Further, imagine you (the agent) doesn't have the prerequisite knowledge of what kind of beverages you can drink to stay awake.
So, we can be in either a sleepy state or a wide-awake state. Let this be denoted as the following: \( S = \{ sleepy, awake \}\). Further, we can take the following consumption actions: \( A = \{ Walnuts, Turkey, Rice, Coffee\}\). Now, let's denote the chances of us transferring from a sleepy state to an awake state be the following: \( P(s | a) \), where \( a \in A \text{ and } s \in S \). Essentially, we need to learn a policy such that given our sleepy state, which action to take in order to to stay awake (i.e., our reward). Here, the policy is nothing but the probability to take a particular action in a given state i.e., \( \pi(s, a)\) is the probability of taking action \(a\) in state \( s\).
Now, we can define the value function as the following: $$ V^{\pi}(s) = \mathbb{E}\{r_{t+1} + \gamma r_{t+2} + \gamma^{2}r_{t+3} + \dots | s_t = s, \pi\}$$ The intuition behind the above equation is that if a particular policy \(\pi\) is followed, the cumulative discounted reward would be \(V^{\pi}(s)\). Here, \(V^{\pi}(s)\) is also known as the value of \(s\) under the policy \( \pi \).
Now, we have the tools to define the problem statement: What is the optimal policy, i.e., policy, \( \pi^{*}\) such that the \(V^{\pi^{*}}(s)\) is maximized \(\forall s \in S\).
Let's try to decompose the value function a little bit: $$ V^{\pi}(s) = \mathbb{E}[\sum_{k=0} \gamma^{k}r_{t+k+1} | s_t = s, \pi]$$ This can be further broken down into the the one step look ahead and all possible combinations of the sequence. $$ V^{\pi}(s) = \mathbb{E}[r_{t+1} + \sum_{k=1} \gamma^{k}r_{t+k+1} | s_t = s, \pi]$$. Now, we know that the expectation can be stated as the following: $$ V^{\pi}(s) = \sum_{a \in A} \pi(s, a)R(s, a) + \pi(s, a) \gamma \sum_{s^{'} \in S}P(s'|s, a)V^{\pi}(s')$$. The above is the famous Bellman Equation.
Further, just the way assigned a value to a state, we can assign a value to an action-value pair \( (s, a)\). This value is defined as the following: $$ Q^{\pi}(s, a) = \mathbb{E}\{r_{t+1} + \gamma r_{t+2} + \dots | s_{t} = s, a_{t} = a, \pi\}$$
Now, we can do a similar expansion as above to get the following: $$ Q^{*}(s, a) = R(s, a) + \gamma \sum_{s' \in S}P(s'|s, a) max_{a' \in A_{s'}}Q^{*}(s', a')$$
Value Function Approximation: As an example DP algorithm we consider value iteration. This iterative update is also known as backup because we are approximating the value of the currents tate by backing up information from possible successor states. $$V_{k+1}(s) = max_{a \in A_s}[R(s, a) + \gamma \sum_{s' \in S} P(s'|s, a) V_{k}(s')]$$. Similarly, we can approximate the Q value function by using iterative backup updates: $$Q_{k+1}(s, a) = R(s, a) + \gamma \sum_{s' \in S} P(s'|s, a) max_{a' \in A_{s'}}Q_{k}(s', a')$$
The following snippet is an example of policy evaluation using the aforementioned iterative backups method.


Interface for viewing, updating, and creating notification subscriptions.
Subscription Name: A unique ID within the account.
Landmark: One of the landmarks defined for the account.
Device Names: One or more devices belonging to the account.
Activity: Either Arrival or Departure.


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The piece can be read in many ways. In one respect, Banksy is advocating for a sexual-identity accepting society by placing icons of authority in a pro-gay position. His use of policemen, rather than ordinary citizens, is intriguing, because the very subjects of his tender portrayal are often the ones to working to eradicate his vandalism.
In this simple image, Banksy shows both the fun, carefree facade of American culture, and the reality that America also has a very dark, underbelly which drops bombs on people, and both commercializes and glamorizes war.
By substituting a weapon with a bunch of flowers, Banksy is advocating peace instead of war, and he opted to install this message of peace in a high-conflict area. The work also carries the message that peace comes with active hard work. The bouquet of flowers in this work, in addition to symbolizing peace, life, and love, may also be understood as commemorating lost lives in an age old religious conflict. It is a fine example of Banksy's use of art to relay messages of social importance.
While Da Vinci's Mona Lisa appears graceful and passive, Banksy gives her a powerful, confrontational, and active sensibility. Her facial expression remains just as calm as in the original, however, next to the powerful weapon, her welcoming smile reads as slightly menacing. It can also be read as a statement on how blasé citizens have become to the ongoing realities of war, always taking place somewhere far removed from their own tranquil lives.
Banksy, a street artist whose identity remains unknown, is believed to have been born in Bristol, England, around 1974. He rose to prominence for his provocative stenciled pieces in the late 1990s. Banksy is the subject of a 2010 documentary, Exit Through the Gift Shop, which examines the relationship between commercial and street art.


Data Visualization for Aircraft Strikes
clear show top airportsSource airport for strikes
Strikes across species (hover)
Strikes across year
Strikes across month
Species Distribution
Description
The visualization allows you to view the distribution of strike events across bird species, months, years for a specified airport.
Type something in the textbox and a dropdown will appear suggesting airports.
Choose one and charts (three bar graphs and a pie chart) will appear and the map will show a circle representing the airport location.
For the selected airport, the bar graphs show the distribution of strike counts across various dimensions. The strike counts are shown distributed across bird species, year and month. The pie chart shows the proportion of events for the top five bird species. The circle on the map shows the location.
Hover over the circle to see information on the airport, and the number of incidents and the total cost of repairs for all the strike events. For the first bar chart, hover over each bar and the tooltip will indicate the species and the number of strikes.
For the second and third bar charts, the mouse icon shows a crosshairs (like a large + sign). Use it to select some bars (in effect selecting some data and filtering out the rest). The charts will update, filtering out the corresponding unselected data.
The pie chart shows the proportion of events for the top five species. It can be similarly used to selectively filter by clicking on the sectors.
Data
The dataset used was obtained from the FAA Wildlife Strike DataBase wildlife.faa.gov/. The data contains more than 5000 incidents over years 1990 to 2014.
Airport geographical data (latitude and longitude) was used to plot the airport location on the map.
Some filtering and processing was done after loading the data. For example, when an airport is selected by the user, the wildlife data is filtered based on matching the airport id with the iata code of the selected airport. Aggregation is done to compute the total costs of repairs associated to a particular airport.
A description of the fields of the data is shown in the table below.
List of fields
| Id | Column Name | Explanation of Column Name and Codes |
|---|---|---|
| Id | Column Name | Explanation of Column Name and Codes |
Libraries
The application is principally built using
dc.js
, D3.js
, and DataMaps
.
Dc.js (Dimensional Charting) is a charting library used
together with D3.js to create the bar graphs and pie chart.
The linking of the data is accomplished using Crossfilter
,
a library used for grouping and quick addition and removal of data groups.
DataMaps is used to draw an SVG image of USA map with labels.
It is a customizable SVG map graphic for the web in a single Javascript
file that works with D3.js.
About dc.js and Crossfilter.js:
dc.js is a javascript charting library with native Crossfilter support, allowing highly efficient exploration on large multi-dimensional datasets. It leverages D3 to render charts in CSS-friendly SVG format.
Charts rendered using dc.js are data driven and reactive and provide instant feedback to user interaction. In dc.js, each chart displays an aggregation of some attributes through the position, size, and color of its elements, and also presents a dimension which can be filtered. When the filter or brush changes, all other charts are updated dynamically, using animated transitions. dc.js combines the analytics power of Crossfilter with the charting power of D3.js.
Crossfilter - fast multidimensional filtering for coordinated views
Crossfilter is a JavaScript library for exploring large multivariate datasets in the browser, allowing multidimensional filtering and aggregation of tabular data. In other words, it allows the user to slice and dice row-based data.
Other supporting libraries used include typeahead.js
,
underScore.js
, TopoJSON
,
and JQuery
.
Typeahead.js is a jQuery autocomplete library.
Underscore.js is a JavaScript library that provides useful functional programming helpers without extending any built-in objects.
TopoJSON is an open standard format for representing geographical features and encodes geospatial topology.
About
This application was developed as part of an exercise to use D3.js to develop a visualization.
There are other possible directions and extensions with this project.
The user could be allowed to look for airports through the map.
The data could be loaded and displayed to the user.


Learning in Progress...
| Summary | Progress | Label |
|---|---|---|
|
{{ .TicketProgress }}%
|
{{ .TicketLabel }} |
Interested in sharing something that you would like me to have a look?
Send it to my backlog on the right!
Head over to my blog!| Summary | Progress | Label |
|---|---|---|
|
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|
{{ .TicketLabel }} |


I'm a sophomore at Stanford majoring in CS. I'm interested in mobile health applications and building web applications.
I got into front-end design over winter break, and I'm trying to pick up some more back-end knowledge this year so I can start building my first applications
I recently declared CS, so I don't have much projects to show, it's why I'm taking CS 147!
Some of the things I worked on over break include:
I'm part of a new premed society on campus, and I wanted to design a website to get our name out there. I used LESS, JQuery, and a bit of PHP to get the email list feature working. Some things I thought were cool when I designed it:
My first foray into web design. I built a personal portfolio just to get some experience with HTML/CSS. I learned how to use cool features from JQuery and make things interactive. Some features I thought were cool:
I'm currently an undergraduate researcher in the Chang laboratory under the mentorship of Dr. Robert Spitale and Ryan Flynn. My current projects involve characterizing new proteininteractions that target non-coding RNA segments. Before joining the Chang lab, I performed structural studies to further rational vaccine design for RSV and HIV-1 at the Vaccine Research Center under the direction of Dr. Jason Gorman and Dr. Jason McLellan.
Outside of biomedical research, I have an independent research project that models organic chemistry using music theory that is under review.
You can contact me at me@shermanleung.com


Fetch content with JSONP and highlight some interesting content (e.g. GitHub/Gists or Bitbucket API).
Use the data-jsonp
attribute on

elements, like so:

Don't specifiy the callback
query parameter in the URL; this will be added
automatically. If the API expects a different callback parameter name however, use the
data-callback
parameter to specify the name:

The next trick is of course actually extracting something from the JSONP response worth highlighting, which means processing the response to extract the interesting data.
The following JSONP APIs are automatically detected and parsed:
If you need to do your own parsing, you can hook your your own data adapters in two ways:
data-adapter
parameter on the

element.
This must be the name of a globally defined function.
The plugin will use only this adapter to parse the response.
Prism.plugins.jsonphighlight.registerAdapter(function(rsp) { … })
.
It will be added to the list of inbuilt adapters and used if no other registered
adapater (e.g. GitHub/Bitbucket) can parse the response.
In either case, the function must accept at least a single parameter (the JSONP response) and
returns a string of the content to highlight. If your adapter cannot parse the response, you
must return null
. The DOM node that will contain the highlighted code will also
be passed in as the second argument, incase you need to use it to query any extra information
(maybe you wish to inspect the class
or data-jsonp
attributes to
assist in parsing the response).
The following example demonstrates both methods of using a custom adapter, to simply return the stringyfied JSONP response (i.e highlight the entire JSONP data):

And later in your HTML:

Finally, unlike like the File Highlight
plugin, you do need to supply the appropriate class
with the language
to highlight. This could have been auto-detected, but since you're not actually linking to
a file it's not always possible (see below in the example using GitHub status).
Furthermore, if you're linking to files with a .xaml
extension for example,
this plugin then needs to somehow map that to highlight as markup
, which just
means more bloat. You know what you're trying to highlight, just say so :)
There's a bit of a catch with gists, as they can actually contain multiple files. There are two options to handle this:
data-filename
attribute, and
this file will be highlighted instead:

The plugin’s JS code (from GitHub):
GitHub Gist (gist contains a single file, automatically selected):
GitHub Gist (gist contains a multiple files, file to load specified):
Bitbucket API:
Custom adapter (JSON.stringify showing GitHub status):
Registered adapter (as above, but without explicitly declaring the data-adapter
attribute):


Providence analysis released on bike and scooter share
PROVIDENCE, R.I. (AP) - An analysis of a Rhode Island city’s electronic bike and scooter share shows users took nearly 170,000 scooter rides and more than 280,000 bike rides in the first year of the Providence programs.
The city of Providence report also contains information on average trips and areas where the devices were most popular.
City councilmember Jo-Ann Ryan requested the analysis about three months ago and tells the Providence Journal the six-page report downplays public safety concerns and is missing information on routes, accident data and public input.
Ryan says a comprehensive report is needed to inform future policies and prevent some of the issues that have cropped up.
Providence announced in August it was temporarily pulling the electronic bikes operated by the company JUMP over concerns of their misuse .
The city says conversations with JUMP are ongoing.
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Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


Id: 41
Name: Big Boobed Waitress
Status: Alive
Species: Humanoid
Type:
Gender: Female
OriginName: Fantasy World
OriginUrl: https://rickandmortyapi.com/api/location/48
LocationName: Fantasy World
LocationUrl: https://rickandmortyapi.com/api/location/48
Image: https://rickandmortyapi.com/api/character/avatar/41.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/5']
Url: https://rickandmortyapi.com/api/character/41
Created: 2017-11-05T10:13:45.960Z


| Path: | README |
| Last Update: | Wed Dec 02 12:49:41 -0600 2009 |
AttrHidden
While attr_accessible and attr_protected can prevent changes to attributes during mass assignment they do not address the need to prevent some attributes not being exposed to the requester. With html requests this is usally not a problem as the page is written to not include the private data. However, with the increasing use of REST and clients consuming xml and json data, the need to be able to easily protect this data increases.
This plugin addresses this need to hide outgoing attributes when records are being serialized for REST responses. Traditionally this has been done in the controller on an individual method basis. This is time consuming and increases the likelyhood that mistakes will be made. Instead of relying on the controller to add protection, this plugin takes its cues from attr_protected and attr_accessible and moves the responsibility down into the model itself.
Methods can also be included in the serialization by using serialize_method
Additionally, these restrictions and included methods will continue to be maintained even during associational includes during serialization.
Example
Consider a model that yields the following with to_xml
<?xml version="1.0" encoding="UTF-8"?> <item>
<id type="integer">298486374</id> <name>Shiny Item</name> <internal-comment>Bob is Bald</internal-comment> <internal-rating type="integer">7</internal-rating>
</item>
By adding either:
attr_hidden :internal-comment, :internal-rating
or
attr_visible :id, :name
to the model the to_xml would render
<?xml version="1.0" encoding="UTF-8"?> <item>
<id type="integer">298486374</id> <name>Shiny Item</name>
</item>


MURDER IN THE FIRST A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 7.7
Date Released: 1/20/95 Running Length: 2:01 Rated: R (Violence, torture, mature themes, language)
Starring: Christian Slater, Kevin Bacon, Gary Oldman, R. Lee Ermey, Embeth Davidtz Director: Marc Rocco Producers: Marc Frydman and Mark Wolper Screenplay: Dan Gordon Cinematography: Fred Murphy Music: Christopher Young Released by Warner Brothers
With the possible exception of THE MADNESS OF KING GEORGE, few of the recent flood of "based on a true story" motion pictures have been particularly concerned with adhering to the facts behind the tale. MURDER IN THE FIRST is another example of a movie that strays from historical reality to create a more dramatically-appealing product. And, regardless of how this version raises the hackles of Alcatraz aficionados, Marc Rocco's movie is a solid and affecting example of film making.
It's March 25, 1938, and an escape attempt from the maximum security federal penitentiary at Alcatraz has failed. Two of the four escapees are dead, a third--the informant--is returned to his cell, and the fourth--a twenty-five year old named Henri Young (Kevin Bacon)--is placed into a dark, grimy cubicle deep beneath the ground. There, for three interminable years, his only respite from loneliness are the frequent visits of guards and Associate Warden Glenn (Gary Oldman), and the beatings they administer.
When his long stint in solitary confinement ends and Young is re-integrated into normal prison-society, revenge consumes him--a need to lash out against the man who blew the whistle on the escape.  With no regard for the barbaric treatment which turned a petty thief into a killer, the government tries Young for first-degree murder--a crime that carries a death sentence. Assigned to defend him is an up-and-coming member of the public defender's office named James Stamphill (Christian Slater), perhaps the only man to believe in his client's innocence.
As a court drama, there's little to distinguish MURDER IN THE FIRST. Sure, there are the theatrics we expect from high voltage clashes between the defense and the prosecution, but little in the trial sequences set MURDER IN THE FIRST apart from numerous predecessors, many of which are far more memorable. After all, who can forget Tom Cruise and Jack Nicholson facing each other down in A FEW GOOD MEN? Nothing here approaches that level.
However, MURDER IN THE FIRST is as much an indictment of the penal system as an account of one man's fight against a first degree murder rap, and that's where the picture's strength lies. The events leading to Young's actions are graphically rendered, and little doubt remains about where the responsibility lies. The questions that arise are whether Stamphill can prove it and, in the process, how much of his personal security he's willing to sacrifice.
Ultimately, however, it's Bacon's performance that elevates the film. With his astounding depiction of a man who has endured the torments of the damned and is waging a losing battle against his own dark fears, the actor draws the camera's focus to himself and mesmerizes the audience with his haunted eyes and agonized cadence. When Young says that all he really wants is a friend, Bacon's delivery gives impact to the plea.
Christian Slater is competent as Stamphill, an unusual role for an actor who has often been likened (sometimes unfavorably) to a young Jack Nicholson. Here, his usual cocky cynicism is replaced by an erstwhile sincerity. Meanwhile, the ubiquitous and versatile Gary Oldman is a notch more subdued than in his other recent roles (THE PROFESSIONAL and IMMORTAL BELOVED), but the intensity has merely been redirected. Associate Warden Glenn is a man bubbling with internal turmoil.
Unlike THE SHAWSHANK REDEMPTION, this movie isn't about triumph behind prison bars. Instead, MURDER IN THE FIRST is an unrelenting look at the dehumanizing effects of prison life, and what can happen when power is abused. Some scenes may be too graphic for audience members to view comfortably, but "comfort" isn't on director Rocco's agenda. Little that occurs towards the end to affect a false sense of dramatic closure reduces the power of bearing witness to the exposure of Henri Young's soul--or what's left after Glenn and Alcatraz have finished with it.
- James Berardinelli<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Dublin Road Campus
Day
Opens At
Closes At
Monday
9am
10pm
Tuesday
9am
10pm
Wednesday
9am
10pm
Thursday
9am
10pm
Friday
9am
9pm
Saturday
10am
1pm
Sunday
Closed
Closed
CCAM
Day
Opens At
Closes At
Monday
9:30am
7:30pm
Tuesday
9:30am
5pm
Wednesday
9:30am
7:30pm
Thursday
9:30am
5pm
Friday
9:30am
5pm
Saturday
Closed
Closed
Sunday
Closed
Closed
Mayo
Day
Opens At
Closes At
Monday
9:30am
7pm
Tuesday
9:30am
7pm
Wednesday
9:30am
7pm
Thursday
9:30am
7pm
Friday
9:30am
5pm
Saturday
10am
1pm
Sunday
Closed
Closed
Letterfrack
Day
Opens At
Closes At
Monday
9am
7:30pm
Tuesday
9am
7:30pm
Wednesday
9am
7:30pm
Thursday
9am
7:30pm
Friday
9am
4pm
Saturday
2:30pm
4:30pm
Sunday
Closed
Closed


Module log
Log library provides logging facilities.
The module exposes extension points. It is possible to provide both the custom printing function and the custom log saving function.
The module is callable. Thus:
local log = require"lumen.log" log("MODULE", "INFO", "message")
calls the trace function.
Functions
| displaylogger (module, severity, msg) | Default logger for instant display. |
| storelogger (module, severity, msg) | Logger function for log storage. |
| musttrace (module, severity) | Determines whether a log must be traced depending on its severity and the module. |
| trace (module, severity, fmt, ...) | Prints out a log entry according to the module and the severity of the log entry. |
| setlevel (slevel, ...) | Sets the log level for a list of module names. |
Tables
| levels | Severity name <-> Severity numeric value translation table. |
| modules | Per module verbosity levels. |
Fields
| defaultlevel | Default verbosity level. |
| timestampformat | The string format of the timestamp is the same as what os.date takes. |
| format | Format is a string used to apply specific formating before the log is outputted. |
Functions
- displaylogger (module, severity, msg)
-
Default logger for instant display.
This logger can be replaced by a custom function.
It is called only if the log needs to be traced.Parameters:
- module string identifying the module that issues the log
- severity string representing the log level.
- msg string containing the message to log.
- storelogger (module, severity, msg)
-
Logger function for log storage.
This logger can be replaced by a custom function.
There is no default logger.
It is called only if the log needs to be traced (see musttrace) and after the log has been displayed using {displaylogger}.Parameters:
- module string identifying the module thats issues the log
- severity string representing the log level.
- msg string containing the message to log.
- musttrace (module, severity)
-
Determines whether a log must be traced depending on its severity and the module.
issuing the log.
Parameters:
- module string identifying the module that issues the log.
- severity string representing the log level.
Returns:
- `nil' if the message of the given severity by the given module should not be printed.
- true if the message should be printed.
- trace (module, severity, fmt, ...)
-
Prints out a log entry according to the module and the severity of the log entry.
This function uses format and timestampformat to create the final message string.
It calls displaylogger and storelogger.Parameters:
- module string identifying the module that issues the log.
- severity string representing the log level.
- fmt string format that holds the log text the same way as string.format does.
- ... additional arguments can be provided (as with string.format).
Usage:
trace("MODULE", "INFO", "message=%s", "sometext").
- setlevel (slevel, ...)
-
Sets the log level for a list of module names.
If no module name is given, the default log level is affected
Parameters:
- slevel level as in levels
- ... Optional list of modules names (string) to apply the level to.
Returns:
-
nothing.
Tables
- levels
-
Severity name <-> Severity numeric value translation table.
Built-in values (in order from the least verbose to the most):- 'NONE'
- 'ERROR'
- 'WARNING'
- 'INFO'
- 'DETAIL'
- 'DEBUG'
- 'ALL'
- modules
- Per module verbosity levels. See levels to see existing levels.
Fields
- defaultlevel
-
Default verbosity level.
Default value is 'WARNING'. See levels to see existing levels. - timestampformat
- The string format of the timestamp is the same as what os.date takes. Example: "%F %T"
- format
-
Format is a string used to apply specific formating before the log is outputted.
Within a format, the following tokens are available (in addition to standard text)- %l => the actual log (given in 3rd argument when calling log() function)
- %t => the current date
- %T => the current timestamp
- %m => module name
- %s => log level (severity)


A B C D E F G H I J L M N O P R S T U V W Y
All Classes All Packages
All Classes All Packages
All Classes All Packages
G
- getAccepted() - Method in class Controller.AunthentificationController
-
getter accepted
- getAllDishes(int) - Method in class Model.Database.dao.DishDAO
-
Getter all dishes.
- getAllRestaurantMenus(Restaurant) - Method in class Model.Database.dao.MenuDAO
-
Getter a list of menus
- getAllTables(String) - Method in class Model.Database.dao.TableDAO
-
Gett all tables.
- getAllUsers() - Method in class Model.Database.dao.UserDAO
-
Getter a list of Users
- getAunthentificationController() - Method in class Controller.FormController
-
getter AuthentificationController
- getBBDDPort() - Method in class Model.Database.Configuration
- getBookNumber() - Method in class Model.Database.Entity.Reserve
-
Getter a book Number
- getCarteListSize() - Method in class View.SubView.Carte
-
getter of the list of cartes
- getCarteName() - Method in class View.SubView.Carte
-
getter of the carte name
- getClient() - Method in class Network.ClientManager
-
getter of the client
- getClientPort() - Method in class Model.Database.Configuration
- getCommuncicationPort() - Method in class Model.Database.BBDDHelper
-
This method return in the specific port of BBDD.
- getCommuncicationPort() - Method in class Model.Model
-
getter communication Port
- getCurrentCarte() - Method in class Network.Network
-
getter of the current carte dishes
- getCurrentState() - Method in class View.ServiceState
- getDirIpBBDD() - Method in class Model.Database.Configuration
- getDish() - Method in class View.Items.OrderedItem
-
getter dish name
- getDish() - Method in class View.SubView.Menu
-
Function that return the dish.
- getDishes() - Method in class Controller.FormController
-
getter of dishes
- getDishes() - Method in class Model.Model
-
getter of list of dishes
- getDishStates(User) - Method in class Network.Network
-
function that gets if the dishes are cooking or not
- getEmailRestaurant() - Method in class Model.Database.Entity.Menu
- getId() - Method in class Model.Database.Entity.Dish
-
Getter an Id.
- getId() - Method in class Model.Database.Entity.Menu
-
Getter id
- getIdTable() - Method in class Model.Database.Entity.Table
-
Getter an id table.
- getIfWasAccepted(User) - Method in class Controller.AunthentificationController
-
getter of auth state
- getInstance() - Static method in class Model.Database.BBDDHelper
-
Create an instance of the class.
- getLastDishAdded() - Method in class Model.Database.dao.DishDAO
-
Getter the last dish.
- getLastDishAdded() - Method in class Model.Database.DAOManager
-
Getter the last dish.
- getLauncherController() - Method in class Controller.FormController
-
getter LauncherController
- getMail() - Method in class Model.Database.Entity.Restaurant
-
Return an email.
- getMail() - Method in class View.Register
-
Function that will return the String contained in the mail field.
- getMenuDishes(int) - Method in class Model.Database.DAOManager
-
Getter a list of dish.
- getMenus() - Method in class Model.Model
-
getter of list of Menus
- getMenus(Restaurant) - Method in class Model.Database.DAOManager
-
Getter of a list of menus.
- getName() - Method in class Model.Database.Entity.Dish
-
Getter name
- getName() - Method in class Model.Database.Entity.DishTable
-
Getter of name.
- getName() - Method in class Model.Database.Entity.Menu
-
Getter a name
- getName() - Method in class Model.Database.Entity.Ranking
-
Get a String name.
- getnameBBDD() - Method in class Model.Database.Configuration
- getNewClientController() - Method in class Controller.ServiceController
-
getter of the new controller
- getNumberClients() - Method in class Model.Database.Entity.Table
-
Getter a number of client.
- getNumCustomers() - Method in class View.SubView.TableMangement
-
function that gives you the numeber of max customers per table
- getOnService() - Method in class Model.Model
-
getter of the current restaurant
- getPassBBDD() - Method in class Model.Database.Configuration
- getPassword() - Method in class Model.Database.Entity.Restaurant
-
Getter a password.
- getPassword() - Method in class Model.Database.Entity.User
-
Getter a password.
- getPostServiceController() - Method in class Controller.FormController
-
getter PostServiceController
- getPreServiceController() - Method in class Controller.FormController
-
getter PreServiceController
- getPrice() - Method in class Model.Database.Entity.Dish
-
Getter Price
- getPwd() - Method in class View.Register
-
Function that will return the String contained in the password field.
- getPwField() - Method in class View.Launcher
-
Function that will return the String of the pw PasswordField.
- getQuantety() - Method in class Model.Database.Entity.Dish
-
Getter a quantity.
- getQuantity() - Method in class Model.Database.Entity.DishTable
- getRegiser() - Method in class Model.Database.Entity.User
-
Getter of Boolean
- getRegisterController() - Method in class Controller.FormController
-
getter RegisterController
- getReserve() - Method in class View.Items.AuthItem
-
getter of the reserve
- getReserve(String) - Method in class View.Aunthentification
- getReserved() - Method in class Controller.FormController
-
get reserves
- getReserveFromReserveName(String) - Method in class Model.Model
-
getter of reserve from a reserve name
- getReserveFromUser(User) - Method in class Model.Model
-
getter reserve from user
- getReserveName() - Method in class Controller.SubController.ClientOrderController
-
reserve name getter
- getReserveName() - Method in class Model.Database.Entity.Reserve
-
Get a Reserve name,
- getReserveNamed(String) - Method in class Model.Model
-
getter of reserve based on a reserve name
- getReserves() - Method in class Model.Database.Entity.Table
-
Getters of reserves of the list.
- getReserves() - Method in class Model.Model
-
getter of list of reserves
- getReserveState(User) - Method in class Network.Network
- getReserveTableId(Reserve) - Method in class Model.Model
-
getter of the table id from reserve
- getRestaurant(Restaurant) - Method in class Model.Database.dao.RestaurantDAO
-
Getter Restaurant
- getRestaurant(Restaurant) - Method in class Model.Database.DAOManager
-
Getter a restaurant.
- getRestaurantMail() - Method in class Model.Database.Entity.Table
-
Getter an mail.
- getRestaurantName() - Method in class Model.Database.Entity.Table
-
Getter of a restaurant name.
- getSelectedMenu() - Method in class View.SubView.Carte
-
getter of the string of the menu in the ComboBox
- getServed() - Method in class Model.Database.Entity.Ranking
-
Get a value.
- getServerState() - Method in class Model.Model
-
getter of the server state
- getServiceController() - Method in class Controller.FormController
-
getter ServiceController
- getServiceStateController() - Method in class Controller.FormController
-
getter ServiceStateController
- getSideMenuController() - Method in class Controller.FormController
-
getter SideMenuController
- getState() - Method in class Controller.FormController
-
getter of the state of the service when its in init
- getSubController_1() - Method in class Controller.PreServiceController
-
getter of subcontroller
- getSubController_2() - Method in class Controller.PreServiceController
-
getter of subcontroller
- getSubController_3() - Method in class Controller.PreServiceController
-
getter of subcontroller
- getTable() - Method in class View.Items.AuthItem
-
getter table string
- getTable(String) - Method in class View.Aunthentification
-
This function gives you the id of the table.
- getTables() - Method in class Controller.FormController
-
getter tables
- getTables() - Method in class Model.Model
-
getter of list of tables
- getTables(String) - Method in class Model.Database.DAOManager
-
Getter of list of the tables.
- getTime() - Method in class Model.Database.Entity.Dish
-
Getter of time
- getTodayTopFiveDishes() - Method in class Model.Database.dao.DishDAO
- getTop5() - Method in class Model.Database.dao.RankingDAO
-
Getter to 5.
- getTop5() - Method in class Model.Database.DAOManager
-
Achieve the 5 dishes.
- getTopActual5() - Method in class Model.Database.dao.RankingDAO
-
Getter the Top 5
- getTopActual5() - Method in class Model.Database.DAOManager
-
Achieve the 5 dishes in the actuality.
- getTopFiveDishes() - Method in class Model.Database.dao.DishDAO
- getUser() - Method in class Controller.SubController.ClientOrderController
-
user getter
- getUser() - Method in class Model.Database.Entity.Reserve
-
Getter a User.
- getUser() - Method in class Model.Database.Entity.Restaurant
-
Getter of Username.
- getUser() - Method in class Model.Database.Entity.User
-
Getter of name
- getUser() - Method in class View.Items.AuthItem
-
getter of user
- getUser() - Method in class View.Register
-
Function that will return the String contained in the username field.
- getUser() - Method in class View.SubView.ClientOrder
-
getter the Reserve that is in the clientOrder
- getuserBBDD() - Method in class Model.Database.Configuration
- getUserField() - Method in class View.Launcher
-
Function that will return the String of the username TextField.
- getUsernameRestaurant() - Method in class Model.Database.Entity.Menu
- getWelcomeController() - Method in class Controller.FormController
-
getter WelcomeController
- go() - Method in class View.WindowForm
-
Method that causes doRun.run() to be executed asynchronously on the AWT event dispatching thread.
- goToWindow(String) - Method in class View.Launcher
-
Method that will create all the components of the panel.
- goToWindow(String) - Method in class View.Register
-
Method that will create all the components of the panel.
- goToWindow(String) - Method in class View.SideMenu
-
Method that will create all the components of the panel.
- goToWindow(String) - Method in class View.Welcome
-
Method that will create all the components of the panel.
All Classes All Packages


---
layout: post
title: Web 2.0 - Why Everything You've Been Taught Is Wrong
date: 2007-11-02 11:34:00.000000000 +11:00
comments: true
categories:
- scaling
- development
- podcast
---
I had been watching some videos from
YUI Theater. A lot of interesting stuff is there about client-side and front-end web development.
Must see videos are from
Douglas Crockford — "The JavaScript Programming Language" (see all the 4 parts there).
But I really like one from from Joseph Smarr —
High-performance JavaScript: Why Everything You've Been Taught Is Wrong.
He gives overview of a real-world Web 2.0 web application (
Plaxo) and explains that many things that are in general a good practice (including patterns) are not always good. Just because of the performance.
Joseph says he met a guy who was so proud that he applied all of the patterns (that he knows?). But was there a need of it? Maybe yes, maybe not. But:
Always think about performance, from the beginning to the end.
See the video:


ShaderEditor
Description
Create and edit GLSL shaders on your Android phone or tablet and use them as live wallpaper.
Source
This app is open source. Clone, fork, contribute on GitHub.
Features
Live preview
Syntax highlighting
Error highlighting
FPS display
Use any shader as live wallpaper
Exposure of accelerometer sensor
Exposure of wallpaper offset
Previous rendered frame in backbuffer texture
Tips
How many FPS should I get to set my shader as live wallpaper?
Some devices do limit the GPU to consume less power when not plugged in. That's why you should always check your FPS in full screen (use the eye icon in the upper left) with the power cord off. Your shader should make at least 30 FPS or so to not slow down the UI. Low resolution displays will produce better FPS as there's just a lot less to calculate.
How much battery will a live wallpaper take?
A live wallpaper should only consume battery when you see it. So it generally depends on how often and how long you look at it. With normal use, you shouldn't note a difference in battery consumption.
Errors are not highlighted
Unfortunately error information is disabled on some devices (e.g. Huawei Ideos X3, Asus Transformer). Error highlighting/reporting is not available on these devices.